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    "id": 14,
    "name": "HireArt",
    "slug": "hireart",
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    "website": "http://hireart.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "Hire Smarter with HireArt.\r\n\r\nWe're a modern staffing agency that uses work samples and video assessments to generate deeper insight & connect contractors to companies where they'll thrive.\r\n\r\nOur graders and account managers individually assess each candidate on culture fit, experience, and communication skills. The proof is in the talent: our candidates have filled roles at leading start-up and technology companies like Facebook, Airbnb, and Waymo. \r\n\r\nWe put people first, from our candidates to our clients, we believe in the power of transparent hiring.\r\n\r\nLearn more about our team and our platform at HireArt.com.",
    "one_liner": "Gives businesses everything needed to hire & manage W2 contractors.",
    "team_size": 90,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1322045617,
    "tags": [
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      "B2B",
      "HR Tech"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2012",
    "status": "Active",
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      "America / Canada",
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    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hireart",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/hireart.json",
    "year_founded": 2012,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hireart",
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    "fb_url": "https://www.facebook.com/HireArt/",
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    "founders": [
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        "full_name": "Nicholas Sedlet",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nick-sedlet",
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    "news": [
      {
        "title": "HireArt lands $26.25M to help manage and recruit W2 contractors for clients – TechCrunch",
        "url": "https://techcrunch.com/2022/07/18/hireart-lands-26-25m-to-help-manage-and-recruit-w2-contractors-for-clients/?tpcc=tcplustwitter",
        "date": "Jul 18, 2022"
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    "id": 24,
    "name": "Gusto",
    "slug": "gusto",
    "former_names": [
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    ],
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    "website": "https://gusto.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Launched in 2012 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.\r\n\r\nThrough one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.",
    "one_liner": "Provides growing businesses with everything to take care of their team",
    "team_size": 2400,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1322045716,
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      "Health Insurance"
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    "batch": "Winter 2012",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Josh, Eddie, and I actually met completely by chance. I moved to the US for the Electrical Engineering PhD program at Stanford and just a couple of months in, I got paired up together with Josh through Stanford’s alumni mentorship program. Josh and Eddie went to Stanford EE together a few years earlier, but got reconnected after randomly when Eddie made a wild decision to run a half-marathon – with zero training – just to win a bet (!). Josh, Eddie and I bonded over our experiences growing up around small businesses, and starting past startups on our own. My dad has owned a small clothing store in Haifa for over 30 years now and I grew up helping in the store after school every day, and experiencing the small business ups and downs around the family dinner table every evening. Eddie had a similar experience with his family’s medical practice in Southern California. Finally, Josh, Eddie and I had started our own startups previously (none as successful as Gusto), and realized that our passion is solving real problems for real people and having a long-term positive impact through technology.We loved the idea of helping small businesses – the underdogs – thrive and succeed, and hated the fact that only “big enterprise” companies use technology internally for their advantage. It wasn’t fair and we wanted to fix it. What sparked the original idea behind Gusto was Eddie growing up and seeing his mom manage payroll for their medical practice. She had been doing every payroll by hand for over two decades. It was time-consuming, tough, and error-prone, with the practice paying as much as $200,000 in tax penalties over the years, up until we launched Gusto. One of the most rewarding parts of our journey was seeing her finally running payroll without having to physically be in the office – freeing her up to go on vacation while still being able to run payroll if she needed to. We realized that if we do a great job with payroll, we’ll have the most accurate system of record for our customers’ employees, which then will enable us to solve many more important problems like onboarding, time tracking, benefits, compliance, HR, and more. We’ve since kept on this vision and have built Gusto’s People Platform which helps over 300,000 businesses across the country start and grow their teams while building a great place to work – from the moment they’re hired, until their last day. We still feel like we’re in the super early stages of the company as our vision is much broader – to create a world where work creates a better life."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We first decided to apply to YC based on Eddie’s recommendation. He had had a great experience with YC as part of a previous startup he founded, Picwing. We knew that the YC association could help us hire strong engineers, have a supportive community of founders we get inspired by, and gain early momentum. Being part of a YC batch was a high intensity experience. We lived together and worked 24/7 to build a Minimal Loveable Product and earn the trust of some early customers, all before Demo Day. Demo Day is a fantastic opportunity to meet hundreds of serious investors interested in funding companies. It’s up to you to give them a reason to fund you – but if you take advantage of that moment, it can really be a gamechanger for your startup.Overall, YC was a big part of Gusto’s early growth. It has a strong community of technical leaders and operators, so it helped us hire engineers faster and grow more quickly during Gusto’s early days. But not only is YC a great way to attract top talent – it also connects you to a community of similar-minded founders and helps you build long-term, lasting friendships. "
      }
    ],
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    "year_founded": 2011,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gustohq/",
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    "fb_url": "https://www.facebook.com/GustoHQ/",
    "cb_url": "https://www.crunchbase.com/organization/gusto",
    "github_url": "https://github.com/Gusto",
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    "primary_partner": null,
    "founders": [
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        "full_name": "Josh Reeves",
        "title": "Founder/CEO",
        "founder_bio": "We're on a multi-decade mission at Gusto to create a world where work empowers a better life. Building for the long term. [We're hiring!]",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/joshuareeves/",
        "x_url": "https://twitter.com/joshuareeves",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f45b714f1a5a4d72b07eb1642b780e526c9e1968.jpg"
      },
      {
        "user_id": 14505,
        "full_name": "Edward Kim",
        "title": "Founder/Empowering Gusto's Engineering Team",
        "founder_bio": "Co-founder and Head of Engineering at Gusto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edawerd/",
        "x_url": "https://twitter.com/edawerd",
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      },
      {
        "user_id": 27176,
        "full_name": "Tomer London",
        "title": "Founder/; Empowering Gusto's Product and Design Teams",
        "founder_bio": "Co-founder at Gusto (YC W12). Optimist. Family guy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomerlondon/",
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    "jobs": [],
    "news": [
      {
        "title": "Gusto’s path to $1 billion in revenue, milestone-by-milestone | Fortune",
        "url": "https://fortune.com/2026/05/07/gusto-one-billion-revenue/",
        "date": "May 07, 2026"
      },
      {
        "title": "Gusto launches $200 million–plus tender offer | Fortune",
        "url": "https://fortune.com/2025/06/09/gusto-200-million-plus-tender-offer/",
        "date": "Jun 09, 2025"
      },
      {
        "title": "Gusto reaches $500M in trailing revenue, teams up with Remote to support international hires | TechCrunch",
        "url": "https://techcrunch.com/2023/06/27/gusto-remote-deal-500m-revenue/",
        "date": "Jun 27, 2023"
      },
      {
        "title": "How HR-Tech Startup Gusto Won Over Investors and Small Businesses",
        "url": "https://www.businessinsider.com/how-hr-tech-startup-gusto-won-over-investors-small-businesses-2022-9",
        "date": "Sep 22, 2022"
      },
      {
        "title": "Why Gusto decided to acquire Ardius, Symmetry, Remote Team - Protocol",
        "url": "https://www.protocol.com/fintech/how-decided-gusto",
        "date": "Sep 14, 2022"
      }
    ],
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    "id": 40,
    "name": "Amplitude",
    "slug": "amplitude",
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    "website": "https://amplitude.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva).  \r\n\r\nWith product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey. ",
    "one_liner": "Digital Analytics Platform",
    "team_size": 750,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1322045852,
    "tags": [
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      "Analytics",
      "Marketing",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": true,
    "isHiring": true,
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    "batch": "Winter 2012",
    "status": "Public",
    "industries": [
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    "regions": [
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/amplitude",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/amplitude.json",
    "year_founded": 2012,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/amplitude-analytics/",
    "x_url": "https://twitter.com/Amplitude_HQ",
    "fb_url": "https://www.facebook.com/AmplitudeAnalytics/",
    "cb_url": "https://www.crunchbase.com/organization/amplitude",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa98c8a53255b3fd2e9d4a65dbb47eec293729f1.png",
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    "founders": [
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        "full_name": "Spenser Skates",
        "title": "Founder/CEO",
        "founder_bio": "Spenser Skates is the CEO and cofounder of Amplitude. Amplitude started in 2012 to help organizations build better products through product analytics. Became a public company in 2021. Today, Amplitude serves more than 3,000 paying customers, guiding teams to clearer insights, faster action, and trusted data.\n\nMIT 2010, Course 20 (Bioengineering). Won MIT's largest programming competition, Battlecode, 2 years in a row.",
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      {
        "user_id": 25982,
        "full_name": "Curtis Liu",
        "title": "Founder/CTO",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/curtisliu/?isSelfProfile=false",
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    "jobs": [
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        "id": 91863,
        "title": "Engineering Manager, Guides & Surveys",
        "url": "https://www.ycombinator.com/companies/amplitude/jobs/YZ0Eqyy-engineering-manager-guides-surveys",
        "location": "San Francisco, CA, US",
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        "id": 91864,
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        "location": "San Francisco, CA, US",
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        "id": 106780,
        "title": "Senior Software Engineer; Analytics Compute Platform team",
        "url": "https://www.ycombinator.com/companies/amplitude/jobs/KBUkbJC-senior-software-engineer-analytics-compute-platform-team",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "id": 106784,
        "title": "Staff Software Engineer - DevX",
        "url": "https://www.ycombinator.com/companies/amplitude/jobs/l13O2EF-staff-software-engineer-devx",
        "location": "San Francisco, CA, US / Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "visa": "US citizen/visa only",
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        "title": "Amplitude CEO: building the machine for the journey to a billion dollars",
        "url": "https://www.thetechnologyletter.com/the-posts/amplitude-ceo-building-the-machine-for-the-journey-to-a-billion-dollars",
        "date": "Dec 13, 2022"
      },
      {
        "title": "Amplitude's earnings show what you need to report to survive in today's market",
        "url": "https://techcrunch.com/2022/11/03/amplitudes-earnings-show-what-you-need-to-report-to-survive-in-todays-market/?guccounter=1",
        "date": "Nov 03, 2022"
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      {
        "title": "Amplitude now supports direct data-sharing with Snowflake",
        "url": "https://venturebeat.com/data-infrastructure/amplitude-now-supports-direct-data-sharing-with-snowflake/",
        "date": "May 25, 2022"
      },
      {
        "title": "Amplitude launches customer data platform with integrated product analytics",
        "url": "https://siliconangle.com/2022/05/25/amplitude-launches-customer-data-platform-natively-integrated-product-analytics/",
        "date": "May 25, 2022"
      },
      {
        "title": "Amplitude’s CEO: ‘The Product Itself Has Become The Distribution Channel’",
        "url": "https://www.adexchanger.com/analytics/amplitudes-ceo-the-product-itself-has-become-the-distribution-channel/",
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        "title": "Amplitude AI Feedback — listen to users at scale",
        "tagline": "Turn support tickets, call transcripts, and reviews into actionable product insights.",
        "body": "**TL;DR:** Stop guessing what users want. Amplitude AI Feedback helps you turn feedback into clear product direction.\\\n\\\nTry it for free at [amplitude.com](http://amplitude.com).\n\nhttps://www.youtube.com/watch?v=x_nPbObb_Vo&t=1s \n\n**The Problem**\\\nTeams are drowning in user feedback: Slack threads, app reviews, community posts, support tickets, survey data. You know the insights are in there somewhere, but manually parsing all that takes too long.\n\nLots of AI tools summarize text, but they don’t actually _understand_ product needs or surface actionable insights.\n\n**The Solution**\\\nAmplitude AI Feedback gives you clarity:\n\n* Automatically groups feedback into feature requests, pain points, and bugs\n* Shows how often each topic comes up, with links back to original comments for context\n* Connects insights directly to product analytics so you can see what really moves the needle\n* Lets you ask your own questions and write PRDs with AI, based on all the data\n\nAI Feedback was first built by Kraftful (acq by Amplitude), where the team quickly scaled it to 50,000+ product builders. Joining forces four months ago allowed our teams to connect what users say to what users do in the product for the ultimate product insights. \\\n\\\nGive it a try on [amplitude.com](http://amplitude.com)!",
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        "votes": 86,
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    "id": 44,
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    "one_liner": "Smart search for the modern team.",
    "team_size": 50,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1322045881,
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    "url": "https://www.ycombinator.com/companies/swiftype",
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    "year_founded": 2011,
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        "user_id": 5635,
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        "body": "Hi Launch YC,\n\nI'm the founder and CEO of OneSignal. Today, we're announcing our new AI vision, and I'm excited to share it with the Launch YC community.\n\n<https://www.youtube.com/watch?v=r7ccDbGVJ5U>\n\n**The problem**\n\nOneSignal first went through YC as a mobile gaming company called Hiptic Games.\n\nAfter pivoting away from mobile games, we used our experience to uncover an opportunity to truly \"Make something people want,\" and began working toward a mission to Democratize Customer Engagement for B2C companies.\n\nFor years, most B2C marketing automation products have had lengthy implementation processes, dated interfaces, and a learning curve steep enough that many teams hire a full-time expert. Many of them were also built in a world where email was the dominant channel, and have zero or weak support campaigns that span across Email, Mobile Push, SMS/RCS, and other channels.\n\nIn contrast, we made OneSignal incredibly easy to use from the start: customers can get going for free with an intuitive product experience, a powerful suite of tools for omni-channel messaging, and the performance to support some of the largest brands in the world. Today, OneSignal sends billions of daily messages for hundreds of thousands of active apps.\n\nBut no matter how easy and powerful we made the product, marketers still needed to bring a lot of their own time and expertise to get the best results from their campaigns.\n\n**The solution**\n\nToday, I'm excited to announce our vision and the products that will make lifecycle marketing autonomous. Our mission is still to Democratize Customer Engagement, but with AI we can achieve it in ways that were never possible before. This AI vision enables us to empower under-resourced marketing teams with the time and expertise that has seemed always out of reach.\n\nWe've broken this mission into phases, which we think of as an autonomy ladder. Most marketers don't want to hand the keys to an autonomous system on day one, so we'll roll out features that build the systems and trust needed at each step.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/09a43a18-3ca8-4268-bd70-ab1798220546)\n\n**Level 0 — Manual.** The dashboard. A marketer drives every click, and the team scales by hiring. This is where the entire category has lived.\n\n**Level 1 — Assistance.** AI drafts copy, suggests audiences, and explains your analytics in plain language. You review and ship. This is live today.\n\n**Level 2 — Expert Assist.** AI becomes proactive. It recommends campaigns to fill lifecycle gaps, flags mistakes, and checks your work. Your input is still required.\n\n**Level 3 — Agentic Autopilot.** You delegate bounded work, and AI does it within the scope and rules you've defined. You approve work in batches.\n\n**Level 4 — Full Operator.** You set the goals and the guardrails. AI plans, sends, tests, and improves campaigns against them, reaching out only when it needs you.\n\n**What we're launching today**\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/da0aff66-9335-4ac3-87bf-d61aaa95b014)\n\n**OneSignal AI** — An in-product agent that can do everything a person can: generate message copy, design emails, analyze message performance, and recommend next steps to maximize user engagement. Best of all, it can create and analyze complex multi-step Journeys, saving hours of work.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/f96522b2-51f9-404c-83fe-5b8bcbf4618a)\n\n**Brand Kit** — Define your audience, voice and tone, industry, and visual assets on a centralized configuration page or pull them automatically from your website. Set guardrails for language to avoid. OneSignal AI uses your Brand Kit when generating copy, email designs, and in-app messages.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/b4c791bc-66cd-4849-afbf-d6921338d492)\n\n**OneSignal MCP** — Brings OneSignal's capabilities to the AI tools and agents you already use. The MCP is available now on the ChatGPT and Cursor marketplaces, coming soon to the Claude marketplace, and available through Smithery for any other AI client. Together, the MCP and the OneSignal API make it possible to use the platform in a fully headless way.\n\n![uploaded image](/media/?type=post&id=105807&key=user_uploads/5571/16f8ec08-92f4-4612-b342-555017d5082b)\n\nSoon, we'll also release a OneSignal Slack Agent, bringing the capabilities of OneSignal AI and the OneSignal MCP to where your team already spends its time. And we'll be rolling out an API to create, edit, and analyze Journeys, so your team can set up complex campaigns without ever logging into the OneSignal dashboard.\n\n**Try it today**\n\nAll of these features are available on OneSignal's free plan. Small companies can send unlimited push notifications and up to 10,000 emails per month for free. Paid plans start at $19/mo plus affordable usage-based pricing. Installing OneSignal is as simple as copying a prompt into Claude Code. You can get started at https://onesignal.com",
        "url": "https://www.ycombinator.com/launches/RWZ-onesignal-is-powering-autonomous-lifecycle-marketing-for-b2c-companies",
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We’re in the early innings of that future, and it’s why we’re excited to announce UpCodes Copilot. \n\n![uploaded image](/media/?type=post&id=72667&key=user_uploads/147166/5481c27f-f364-4ce9-9449-de817a1bf363)\n\nOur vision is that Copilot becomes an indispensable research assistant for designers, builders, plan reviewers, and plan examiners. Instead of manually parsing through dense code sections, Copilot accelerates code research process by instantly delivering tailored responses to any code query. With Copilot you can: \n\n* **Research faster** – Go beyond manually gathering code sections from various codes and chapters. \n* **Be more efficient** – Catch sections you may have missed and better manage compliance. \n* **Gain insight** – Unlock the ability to parse through massive quantities of code.\n\n# **Who Copilot is for**\n\nUpCodes Copilot is for anyone involved in the code compliance lifecycle. 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    "id": 1702,
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    "all_locations": "Auckland, Auckland, New Zealand; Remote",
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    "long_description": "Fondo is the easy way for startups to get their bookkeeping done, taxes filed, and cash back from the IRS (average startup gets $21k). We’ll optimize and file your taxes, and you’ll get cash back — up to $500k per year. Need more help? We’ll also do your bookkeeping, so you don’t have to worry about a thing.",
    "one_liner": "Bookkeeping, tax, & tax credits on autopilot for 2,000+ startups",
    "team_size": 80,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1580421990,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "AI"
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    "batch": "Winter 2018",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/fondo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2018/fondo.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fondohq/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 51966,
        "full_name": "David J. Phillips",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Fondo — accounting on autopilot for 2,000+ startups. Angel investor: Flexport, LiquidDeath, Rippling, 100+.\n\nStarted my career as an accountant at Deloitte, then learned to code. I was previously co-founder & CEO at Hackbright Academy, a 3 month coding school, where we trained 1,000+ software engineers and helped them get jobs at Uber, Google, Lyft, Meta, Disney and others. We bootstrapped to $3.6M per year in revenue were acquired by Capella University (NASDAQ: $CPLA) for $18M.",
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      {
        "title": "FounderJournal | Fondo Announces $7M Oversubscribed Seed Round Led by Money Forward",
        "url": "https://www.tryfondo.com/blog/fondo-announces-7m-oversubscribed",
        "date": "Nov 29, 2024"
      },
      {
        "title": "Fondo wants to mitigate the American accountant shortage with its AI bookkeeping service | TechCrunch",
        "url": "https://techcrunch.com/2024/11/22/yc-backed-fondo-raises-funding-for-its-ai-powered-bookkeeping-and-taxes-platform/",
        "date": "Nov 22, 2024"
      },
      {
        "title": "Startup tax prep firm Fondo raises $3M",
        "url": "https://www.axios.com/pro/fintech-deals/2023/02/13/fondo-raises-3m",
        "date": "Feb 13, 2023"
      }
    ],
    "launches": [
      {
        "id": 77031,
        "title": "Fondo TaxPlan - Get your startup taxes done right",
        "tagline": "The simplest way to know where, when, and how much corporate tax you owe",
        "body": "Hi everyone 👋\n\nDavid here, former accountant & current CEO of [@Fondo](https://tryfondo.com/taxplan) (W18). After helping over 1,000 startups with their corporate taxes we are excited to bring you [**TaxPlan**](https://tryfondo.com/taxplan).\n\n![](https://assets-global.website-files.com/61d7d4dc76fa4b4793492a4f/6565864e5e7b3f872f4a87ee_7shots_so.png)\n\nThis is the most common question we get from founders:\n\n**\"Do I Need to File Taxes for My Startup?\"**\n\nYes. Once your startup is incorporated and funded, filing taxes is crucial. Not only does this meet legal obligations and fulfill your fiduciary duty to investors, but it's also essential for leveraging benefits like R&D tax credits. Failing to file on time can mean missing out on up to $500k in tax credits. Corporate tax is **NOT** handled by your payroll system (they handle payroll tax).\n\n[**TaxPlan**](https://tryfondo.com/taxplan) is the simplest way to know **where, when, and how much** your startup owes in corporate taxes -- including your [**Section 174**](https://www.tryfondo.com/blog/section-174) adjustment. Plus, how much in [**R&D Tax Credits**](https://www.tryfondo.com/guides/a-startups-guide-to-tax-credits) you can get back from the IRS (up to $500k).\n\n**It takes <2 minutes to get your FREE TaxPlan — no accounting set up required:**[ **Get your startup’s FREE TaxPlan →**](https://tryfondo.com/taxplan)\n\n### **Here is what you get with TaxPlan:**\n\n### **Corporate Tax Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/2e9976a1-e14c-4fd6-8512-49025b0f08b7)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/ca8a8fd9-fc42-4cd6-b824-49c4406f098e)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/a8a4240c-a5a7-4701-bc4a-ab0c045e6696)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/24415557-8b5d-4756-ae3e-6f41776a6e39)\n\n### **Corporate Tax Nexus Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/c57f57ba-2c01-4ac1-b697-46eecacd62ff)\n\n### **International Activity Summary**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/fc233df6-b4ee-41f7-9201-a96495b8ccf4)\n\n### **Year End Checklist**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/861d6005-a477-44e3-be7f-38ad213e8f4e)\n\n### **How Fondo Can Help**\n\n![](https://bookface.ycombinator.com/media/?type=post&id=77031&key=user_uploads/51966/2520bf86-b585-4e71-88d8-4a8fa825a79a)\n\n**It takes <2 mins to get your FREE TaxPlan — no accounting set up required:** [**Get your startup’s FREE TaxPlan →**](https://tryfondo.com/taxplan)\n\n### **3 easy steps**\n\n1. [Create account](https://tryfondo.com/taxplan)\n2. Select “Yes” to TaxPlan (FREE)\n3. Receive TaxPlan via email\n\nThank you and I hope you’ll try us out!\n\nDavid\n\nCEO & Founder @ Fondo (W18)",
        "url": "https://www.ycombinator.com/launches/K2R-fondo-taxplan-get-your-startup-taxes-done-right",
        "votes": 27,
        "created_at": "2023-12-19T20:21:23.352Z"
      },
      {
        "id": 69495,
        "title": "✅ Fondo - $1 Delaware Franchise Tax (due in 9 days)",
        "tagline": "Let Fondo file your Delaware Franchise Tax for $1",
        "body": "Hi everyone 👋,\n\nDavid here, former accountant and founder/CEO of Fondo. We’ve helped 1,000+ founders file their Delaware Franchise tax since launching in 2020.\n\nWe’d love to handle this for you for **$1**. \n\n# **Problem**\n\nAll Delaware Corporations are legally required to file Delaware Franchise Tax each year (beginning with their year of incorporation)\n\n• Deadline: 3/1/23 (in 9 days)\n\n• Tax Owed: $450+\n\n• Penalties: $200 +1.5%/mo of unpaid balance\n\nWhat often what trips founders up is that Delaware will notify you that you owe $50k+. This is because there are two methods to calculate the total franchise tax owed: the **Authorized Shares Method** and **Assumed Par Value Capital Method**. Delaware gives startups the flexibility to use the method that results in the lessor tax. This gets more complicated once you’ve raised a priced round. Fondo will make sure to file based on the lowest tax method legally possible, generally **Assumed Par Value Capital Method.**\n\n![](https://ph-files.imgix.net/00d7138c-e164-4837-b17a-e57cb37420ef.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **Solution**\n\nLet Fondo prepare and file your Delaware Annual Franchise Tax Report for **$1:** [**tryfondo.com/1**](http://tryfondo.com/1)\n\n![](https://ph-files.imgix.net/a3edb57f-b13b-4190-a5bb-566fb85fa437.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **🤝 Launch YC Deal**\n\n### Let Fondo prepare and file your Delaware Annual Franchise Tax Report for $1: [tryfondo.com/1](http://tryfondo.com/1)\n\n![](https://ph-files.imgix.net/2af8a957-a517-4816-a101-2ebdc3e11358.png?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)\n\n# **FAQ**\n\nHere is a comprehensive guide that answers all of the most common questions founders have about Delaware Franchise Tax: <https://www.tryfondo.com/guides/founders-guide-delaware-franchise-tax>\n\n**Please note:** there is no additional purchase necessary, we will prepare & file for you for **$1**. You will still owe Delaware $450+, Fondo handles making that payment for you with your payment details.\n\nThank you!\n\nDavid",
        "url": "https://www.ycombinator.com/launches/I4t-fondo-1-delaware-franchise-tax-due-in-9-days",
        "votes": 31,
        "created_at": "2023-02-21T19:28:27.091Z"
      },
      {
        "id": 65591,
        "title": "Fondo - 💰 Automatically get cash back from the IRS (average startup gets $21,000)",
        "tagline": "Automatically get cash back from the IRS (average startup gets $21,000)",
        "body": "👋 Hi everyone,\n\nDavid here, former accountant & CEO/Founder of [Fondo](https://tryfondo.com/credits) (W18). Last week, President Biden signed the Inflation Reduction Act into law -- which includes doubling the **R&D Credit available per startup to up to $500k per year**. This is great news for startups and we’d love to help you get the maximum money back from the IRS.\n\n### 💰 **Automatically get cash back from the IRS (average startup gets $21,000)**\n\nToday, we are publicly launching [Fondo Tax Credits](https://tryfondo.com/credits) to help startups get cash back from the IRS.\n\n![uploaded image](/media/?type=post&id=65591&key=user_uploads/51966/d7c2588f-c394-4e86-8baf-ae15c253c2ae)\n\nThank you to [@Career Karma](https://www.ycombinator.com/companies/career-karma), [@Explo,](https://www.ycombinator.com/companies/explo) [@PostHog](https://www.ycombinator.com/companies/posthog), [@Tydo](https://www.ycombinator.com/companies/polyops), & [@Bottomless](https://www.ycombinator.com/companies/bottomless) being our first 5 Tax Credit customers.\n\n### **Does my startup qualify?**\n\nMost likely, yes! Startups with less than $5M in gross receipts will generally qualify. Because of the broad definition for qualified activities, startups from almost every industry have claimed R&D tax credits. If you have employees or contractors in the United States who spend any time developing new or improved products, processes, software, algorithms, formulas, or inventions, then you likely qualify for the R&D tax credit. [See if your startup qualifies →](https://tryfondo.com/credits-check)\n\n### **How much does my startup qualify for?**\n\nThe amount of money you can get back is based on your company's R&D expenses (founder/employee/contractor payroll) and can be up to $500k per year. [See how much you can get back with our Tax Credit Calculator →](https://tryfondo.com/credits-check)\n\n![uploaded image](/media/?type=post&id=65591&key=user_uploads/51966/73b455e4-aa8b-4ad6-8b75-ce55a8873d1f)\n\n### **How do I claim the credit?**\n\nFondo handles all of this for you — the credit is claimed by doing an R&D Credit study, filing additional forms with your corporate tax returns, and updating your payroll system. [Get started here →](https://tryfondo.com/credits)\n\n### **⚠️ Upcoming Deadline**\n\nThe deadline to claim this credit for 2021 is 10/17/22 (if you filed an extension), otherwise you can claim the credit for 2022.\n\n### 🤝 **DEAL: 25% OFF Tax Credits**\n\n_Sign up by 8/25/22 to use this deal._ You only pay Fondo if we can help you get money back. Typically, our fees will not exceed 20% of the amount we can help you get back. This deal will cap the amount you pay Fondo at 15%.\n\n[👉 Sign up here →](https://tryfondo.com/credits)\n\n### **What do you get?**\n\nThe benefits of claiming your tax credits with Fondo is that we can handle everything you need to get it done -- end-to-end. Most of our competitors will only do the R&D study and you still need to find someone else to (1) file your tax returns with the attached R&D credit forms, (2) update your payroll system, and (3) do your bookkeeping.\n\n* ✅ Cash back from the IRS (Fondo will complete the R&D Credit Study, prepare Tax Forms, and make required updates to your payroll system)\n* ☑️ Optional Add-on: [TaxPass](https://tryfondo.com/taxpass) - Delaware + Federal/State Corporate Income Taxes Filed (timely filings that you need to claim the credit)\n* ☑️ Optional Add-on: [Bookkeeping](https://tryfondo.com/bookkeeping) (get financial statements that you need to file your tax returns)\n\n### **We’d love to support you!**\n\nThank you!\n\nDavid",
        "url": "https://www.ycombinator.com/launches/H3v-fondo-automatically-get-cash-back-from-the-irs-average-startup-gets-21-000",
        "votes": 69,
        "created_at": "2022-08-24T01:37:51.984Z"
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        "full_name": "Jasen Lew",
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  {
    "id": 1781,
    "name": "Vanta",
    "slug": "vanta",
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    "website": "https://vanta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vanta: the trust infrastructure for YC companies. \r\nThe definitive leader in security and compliance, trusted by 16,000+ companies, including 1,000+ YC startups.\r\n\r\nThe fastest path to your first enterprise deal\r\nReach bigger logos, more revenue, and a stronger story by Demo Day with Vanta.\r\n\r\nAs agents and automation accelerate your path to compliance, buyers get the proof they need to trust you now—not months from now. Your Trust Center launches immediately, giving prospects a live view of your security posture while audit prep is still underway. With 6,000+ Trust Centers across the Vanta network, you enter critical deals with real-time proof and credibility that would otherwise take years to build.\r\n\r\n\"Choosing Vanta early unlocked $1.5M in deals and accelerated our growth by six months. Vanta is the fastest path to doing compliance right—when you're selling SaaS, buyers know the name.\" – Hyperbound (YC S23)\r\n\r\nVanta gives you the fastest, most credible path to compliance across SOC 2, ISO 27001, and more\r\nLet the Vanta Agent handle the bulk of your compliance requirements, from guidance to audit-ready drafts\r\nLaunch your Trust Center and Letter of Engagement on day one\r\nStart faster with pre-scoped requirements informed by 26,000+ audits\r\nAutomate evidence collection across 400+ integrations\r\nValidate posture hourly with 1,400+ tests\r\nFind and fix gaps before they become audit findings\r\nRun your audit fully in-platform with startup-friendly, AICPA peer-reviewed firms\r\n\r\nAgentic compliance that runs itself\r\nCompliance shouldn’t become your CTO’s second job. The Vanta Agent acts as your compliance co-founder, handling the heavy lifting while your team stays focused on building. \r\n\r\nGrounded in 26,000+ audits and Vanta’s in-house GRC expertise, the Vanta Agent produces audit-ready drafts of policies, risk registers, vendor reviews, cloud security measures, and other core requirements. It also surfaces what needs attention, so your team can review, approve, and keep moving without slowing product development or adding compliance to the roadmap.\r\n\r\nEvery output is tailored to your business and grounded in continuously validated data from The Trust Graph, the market’s deepest data and intelligence layer, rather than generic templates or disconnected AI responses.\r\n\r\nVanta is also built for the way YC teams work. Through Vanta’s remote MCP server, full REST API, and native integrations with Claude, Codex, Cursor, and more, compliance moves forward directly inside the tools your team already uses to build, ship, and operate.\r\n\r\n“Vanta has saved us hundreds of hours and well over six figures in potential lost deals or added headcount. If you’re serious about security, start early.” – Clay\r\n\r\nThe Vanta Agent can: \r\nGenerate first-to-final drafts of core compliance requirements\r\nTailor policies, risk registers, and vendor reviews to your business\r\nCollect and evaluate evidence continuously\r\nScope controls and map requirements automatically\r\nSurface gaps, explain their impact, and recommend fixes, including code-level remediation guidance\r\nCut security review time by 81% and vendor reviews by 50%\r\n\r\nThe trusted standard\r\nYour first audit becomes part of your company’s reputation. It needs to hold up under enterprise scrutiny, from the platform and evidence to the auditor behind the report.\r\n\r\nVanta is the platform your prospects already know, trust, and run on. Backed by 16,000+ customers, 26,000+ completed audits, AICPA peer-reviewed auditors, and in-house security and compliance experts, Vanta turns your first audit into your strongest sales asset.\r\n\r\n“We chose Vanta because of its reputation with enterprise buyers - when they see the Vanta logo on your Trust Center, you walk in with credibility that usually takes years to build. That matters when you're week four of your company.”  – HiLoop (YC S26)\r\n\r\nVanta gives you:\r\nStartup-friendly, AICPA peer-reviewed audit firms\r\nIn-house former auditors and GRC practitioners who understand startup constraints and enterprise expectations\r\nA dedicated Auditor Portal\r\nA Trust Center enterprise buyers already recognize\r\n\r\nTwo-thirds of the Forbes AI 50 run on Vanta, including Cursor, Lovable, Clay, Replit, and Sierra. When prospects see Vanta behind your security program, you enter critical deals with credibility already on your side.\r\n\r\nThe platform you won’t outgrow\r\nThe platform you choose for your first audit should still work when you add frameworks, close larger customers, and hire your first security leader.\r\n\r\nVanta provides mature trust infrastructure from day one, right-sized for your first audit and built to support rapid growth without rework, replatforming, or waiting on a vendor’s roadmap. From one connected platform, you can establish the security foundations customers expect today and add more advanced capabilities as your business, risk, and compliance requirements grow.\r\n\r\n“With Vanta, we’ve been able to simplify the heavy lifting, gain real-time visibility into our security posture, and confidently maintain compliance as we scale.” – Cursor \r\n\r\nWhy early teams start (and stay) with Vanta:\r\nRight-sized security foundations: \r\nInfrastructure and systems: cloud monitoring, endpoint protection, and access management\r\nVendors and third parties: risk visibility and vendor reviews\r\nSecurity assessments: risk assessments and cyber insurance options\r\nEnterprise-ready capabilities: Third-Party Risk Management, 35+ frameworks, AI-powered Questionnaire Automation, and more\r\nContinuous innovation: 300+ product features shipped in 2025\r\nCategory-leading customers: Lovable, Ramp, Cursor, Instacart, Duolingo, Fin, GitHub, and more\r\nLong-term backing: Sequoia, Y Combinator, JPMorgan, Goldman Sachs, Wellington Management, and other leading investors\r\n\r\n\r\nSupport you don’t have to fight for\r\nVanta makes first-time compliance straightforward and predictable. You won’t have to wait on a consultant, ticket queue, or another founder’s calendar to understand what comes next. The Vanta Agent guides you through each requirement, drafts core compliance work, and surfaces exactly what needs attention so your program keeps moving.\r\n\r\nOur commitment to you: \r\nAgentic audit readiness with instant answers and real-time guidance\r\nIn-house expertise from former auditors and GRC practitioners\r\nCommunity support through the Vanta Community and Slack onboarding\r\nInstructor-led training and on-demand learning\r\n24/7 live chat and Help Center support\r\nHands-on vCISO and implementation support\r\nStartup-friendly auditors ready to move at your speed\r\n\r\nWe’re so confident in our support that we publish our performance metrics and G2 reviews—so you can hold us to it.\r\n\r\nTransparent pricing and YC-exclusive discounts\r\nYC companies get exclusive, discounted first-year pricing based on ARR or headcount:\r\n\r\nEssentials Package:\r\nEverything you need and nothing you don’t for first-time compliance\r\nOne framework with pre-scoped controls \r\nThe VantaI Agent: policy generation, evidence evaluation, and program Q&A, control mapping, policy change summaries, SLA tracking \r\nAI test remediation \r\nTrust Center & Letter of Engagement \r\nPersonalized compliance roadmap \r\nContinuous controls monitoring\r\nDevice monitoring, security awareness training, employee onboarding/offboarding\r\nCore Pricing: \r\n<$1M ARR (or <20 headcount): $7,200\r\n$1M ARR (or >20 headcount): $9,000\r\n\r\nPlus Package: \r\nFastest path to compliance AND security foundations to build a trustworthy posture early.\r\nEverything in Essentials, plus: \r\nQuestionnaire Automation \r\n(25 per year)\r\nAccess Management\r\n\r\nPlus Pricing:\r\n<$1M ARR (or <20 headcount): $9,600\r\n$1M ARR (or >20 headcount): $12,000\r\n\r\n\r\nOptional add-ons include:\r\nAdditional frameworks: $5,000 each\r\n144 questionnaires/year: $9,000\r\nCyber insurance, powered by Vouch \r\nBackground checks, powered by Certn",
    "one_liner": "Vanta—the proven leader in automated compliance helping startups…",
    "team_size": 700,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1509678272,
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        "title": "Mutiny: Your AI agent to take your accounts from cold to closed",
        "tagline": "Your AI agent to take your accounts from cold to closed",
        "body": "**TL;DR:** Mutiny is your AI agent for taking accounts from cold to closed.\n\nRippling, Snowflake, and Uber are among 3,000 companies using Mutiny to automate their day to day and create beautiful customer-facing experiences that win more deals.\n\n<https://youtu.be/hRISyK2SSt4>\n\n## The problem: Generic AI like Claude are not built for GTM\n\nGeneral purpose agents are not optimized for GTM.\n\n* **Require GTM engineers.** You build everything yourself. Takes weeks of setup and GTM engineers to deliver quality.\n* **Inconsistent output.** Output such as assets is only as good as the rep's prompting. Near impossible to generate high quality output consistently.\n* **Designed for solo work.** Chat and projects are optimized for individual work. Requires Github repos for sharing skills across the team.\n\n## The solution: one agent to take accounts from cold to closed\n\nIn April, we shipped the industry’s leading AI experience builder, letting founders and reps create on-brand, personalized decks, deal rooms, landing pages, and more. 9 out of 10 reps told us it gave them an edge in competitive deals.\n\n**Today, we're launching the automation and collaboration layer around all of it. One agent that takes an account from cold to closed.**\n\nMutiny can now:\n\n1. **Access all your data and tools to automate workflows.** Mutiny connects to your email, calendar, CRM, call recordings, Slack, and 50+ other tools to extract context it needs and then do the work on your behalf.\n2. **Create buying experiences and track engagement.** Mutiny stores your brand and marketing content, builds assets for every deal, and shows you exactly how buyers engage.\n3. **Works out of the box for any rep, not just the AI experts.** We pre-built the highest-leverage skills and routines for reps and marketers, so everyone gets expert output on day one.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/be9b21e6-7623-4201-9800-49e87ed1fe28)\n\nIn practice, this means Mutiny helps you:\n\n* Create deal rooms and update CRM records after every prospect call\n* Draft meeting prep and personalized decks ready for tomorrow's call\n* Map buying committees, with a personalized market report for each persona in their inbox\n* Surface top ABM accounts, with personalized sites and sequences ready to send\n\nOne person with Mutiny can now run the motion that used to take a full team.\n\n## The best GTM teams already run on it\n\nRippling, Snowflake, Uber, and GitLab are among the 3,000 companies using Mutiny to win deals.\n\n> We've always invested heavily in personalized content for our enterprise accounts, but we can't do that for every deal. Mutiny lets our commercial reps create that same caliber of content on their own. Our sales team was genuinely shocked at the quality. Turning call transcripts into something slick and deal-ready is a huge unlock for our reps.”\n>\n> \\- Hillary Carpio, VP of Marketing, Snowflake\n\n> It's been game-changing to give our sellers Mutiny's design capabilities. Right off the bat, it's reducing dependency on marketing and expediting time to publish significantly.”\n>\n> \\- Gabriel Ginorio, Senior Growth Manager, Rippling\n\n> I was blown away by the new Mutiny agent. I can create personalized content for my deals in minutes without waiting on anyone. It's a game changer for sellers.”\n>\n> \\- Celeste Cote, Account Executive, Vanta\n\n## Differentiation: Ship quality work on day one, with fewer tools\n\n1. **Great at the work customers see.** Most tools only shuffle data behind the scenes. Mutiny creates the assets that move the deal, and automates the work around them.\n2. **Pre-loaded with GTM playbooks.** Get to quality output really quickly without being a GTM or AI expert.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Mutiny shows who opened your assets and what they read, so you can sell even when you're not in the room and engage new stakeholders with context.\n4. **Run by anyone on the team.** AEs, BDRs, marketers, and CSMs use Mutiny in self-serve mode, not through a marketing or design queue. That changes the volume economics of personalization.\n5. **One agent, not a stack.** Mutiny consolidates ABM, sales enablement, and AI sales agents into a single agent built to help reps and the marketers who support them.\n\n## Get started today for free\n\nSign up for free at [MutinyHQ.com](http://MutinyHQ.com). Plans are Free, Business, and Enterprise.\n\nComment \"Mutiny\" on our [X](https://x.com/jalehr/status/2070160245863899264?s=20) or [LinkedIn](https://www.linkedin.com/posts/jalehr_our-launch-today-blows-up-the-entire-gtm-ugcPost-7475925252183703552-rWe_/) post and we'll triple your credits for free.\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.\n\n![uploaded image](/media/?type=post&id=103964&key=user_uploads/220306/8f22d528-bb55-4c6a-b4e1-001c780bc3b3)\n\n",
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        "title": "Mutiny: Your AI Agent for Creating Anything Customer-Facing (used by Uber & Rippling)",
        "tagline": "An agent purpose-built for sales and marketing to create beautiful, on-brand assets in minutes, and track engagement. ",
        "body": "**TL;DR:** Mutiny is the first AI agent for sales and marketing to create polished, on-brand assets that close deals.\n\n**Figma, Rippling and Uber** already use our agent to create ABM campaigns and move deals forward with tailored business cases, deal rooms, case studies and more.\n\n**Comment “Mutiny” on our [LinkedIn](https://www.linkedin.com/posts/jalehr_we-raised-72m-from-sequoiayc-and-hit-8-activity-7447310976070283264-1NRa?utm_source=share&utm_medium=member_desktop&rcm=ACoAACKHswAB8YARQchGlnITcnK7Y_raTYmZGAE) or [X post](https://x.com/jalehr/status/2041546131709292586?s=20) & we’ll triple your AI credits for free.**\n\nLaunch video: <https://youtu.be/_OfqWVrQj3s>\n\n**The Problem: Dependencies are the #1 killer of revenue.**\n\nA decade of leading GTM teams taught me that dependencies are the biggest blocker to growth. Too many great ideas die waiting for resources: design, content, ops. We started Mutiny to let sellers and marketers move at the speed of their ideas, building experiences that wow buyers and close deals.\n\nMutiny 1.0 started as a big success: $72M from tier 1 investors like Sequoia/YC, 8-figures in ARR, and beloved by the best GTM teams in the world. But it was built on a SaaS foundation, which puts the execution onus on humans. No matter how much we injected AI, we couldn’t unlock the real power of automation.\n\nSo we killed the SaaS product and rebuilt the whole thing from scratch, this time agent-first and with even bigger ambitions.\n\n**The solution: Meet the new Mutiny.**\n\nMutiny is the first AI agent that gives GTM teams full autonomy to create whatever they need to hit their goals, on brand and personalized.\n\nYou can overcome every challenge when prospecting and closing deals:\n\n* A tailored prospecting page for a senior exec at your target account.\n* A polished business case that sells for you when you're not in the room.\n* A curated customer story that creates urgency.\n* A competitor comparison that takes your rival off the table.\n* A deal room your champion is proud to share, .\n\nOne person with Mutiny can do more in an afternoon than a team in a month.\n\n**The best GTM teams love the new Mutiny already.**\n\n30,000+ assets published. Users from Rippling, Snowflake & startups say:\n\n* Speed: 4.5X faster to create assets\n* Quality: 100% said it meets or exceeds their design bar\n* Impact: 4 out of 5 reps are more likely to hit quota with Mutiny\n* Edge: 89% say it gives them an edge in competitive deals\n\n**Differentiation: Quality is what sets Mutiny apart. It’s 100% on brand.**\n\n1. **On-brand, every time.** Mutiny extracts your colors, fonts and visual style from your website to set the guardrails, so every asset looks and sounds like you.\n2. **Personalized, automatically.** Mutiny researches your prospect and pulls in your CRM data and call transcripts, so every asset is instantly tailored to the account. Their challenges, relevant metrics, case studies, industry messaging and logo are all personalized.\n3. **Full visibility.** Most of the buying process happens behind closed doors. Your champion is forwarding decks & pitching you in meetings. Mutiny shows who opened your assets & what they read, so you can sell even when you're not in the room & engage new stakeholders w/ context.\n4. **Proven GTM best practices.** Our agent has analyzed top-performing GTM assets and frameworks and built templates for every deal stage. The agent applies your brand and context so you get a polished asset in minutes.\n\n**Sign up for free:** [MutinyHQ.com](http://MutinyHQ.com)\n\n**Comment “Mutiny” on our X or LinkedIn post & we’ll triple your credits for free.**\n\nEmail us: [jaleh@mutinyhq.com](mailto:jaleh@mutinyhq.com), [nikhil@mutinyhq.com](mailto:nikhil@mutinyhq.com)\n\nIf you know AEs, sales leaders, or marketing leaders at fast-moving B2B companies, we'd love an intro.",
        "url": "https://www.ycombinator.com/launches/PtJ-mutiny-your-ai-agent-for-creating-anything-customer-facing-used-by-uber-rippling",
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        "id": 80387,
        "title": "Demodesk 2.0: AI sales coach",
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        "body": "**TL;DR** Demodesk delivers personalized, actionable sales coaching after every call based on insights from over 1 million sales calls and frameworks from leading sales coaches.\n\n⭐ [**Sign up for a free 30-day trial**](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n⭐ [**Book a demo with us**](https://demodesk.com/select/demodesk-gmbh/inbound-website-booking?utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n[ ](https://www.youtube.com/watch?v=W1442h11mrI)\n\n🔴 **Problem** 🔴\n\n* Sales managers don't have time to watch hours of recordings to find out what top performers are doing differently than the rest\n* Coaching and training each team member individually is challenging and requires a lot of time and experience\n* There is no one way to sell, and some things may work for some reps and not others\n\n**🔷 Solution 🔷**\n\n* **AI Sales Coach:** Delivers personalized, actionable sales coaching after every call to help reps improve their performance – without requiring team leaders to work overtime or have a PhD in data analysis\n* **AI Assistant**: Automatically transcribes, summarizes, and extracts key insights from sales calls using battle-proven summary frameworks (e.g. BANT, MEDDIC, SPICED) and logs all relevant information into your Salesforce, HubSpot, or Pipedrive CRM - saving sellers time automating the tasks that they don’t like to do\n* **AI Insights**: Provides X-ray vision across calls to quickly identify areas for improvement and gain insights that make a difference – without spending hours watching recordings, reviewing transcripts, or deciphering call stats\n\n⭐ [**Sign up for a free 30-day trial**](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) ⭐\n\n**Why Demodesk Coaching & AI versus other solutions?**\n\n* Self-signup, no set-up effort, and intuitive to use\n* Works out of the box with Zoom, Google Meet & MS Teams and integrates with your dialing/engagement software\n* Built for salespeople and designed for maximum adoption - helps them save time and improve their own selling skills\n* Works in 98 languages\n* Experienced team to help you further customize summary frameworks and coaching scorecards to fit your specific sales process\n* 5 years experience in building sales software and working with international sales teams (we were part of YC 2019)\n* More exciting features on the roadmap for Q2 (e.g. trend analysis, ability to ask questions about a meeting, replicating your own sales coaching style/building your personal AI Sales Coach)\n\n[Sign up here for a free 30-day trial,](https://demodesk.com/manage/auth/register?seatType=ci&utm_source=ycombinator&utm_medium=referral&utm_campaign=launchYC) or contact us at [founders@demodesk.com](mailto:founders@demodesk.com).\n\n![uploaded image](/media/?type=post&id=80387&key=user_uploads/243470/28d440e9-a57c-4d48-a688-a3aa249262a9)\n\n",
        "url": "https://www.ycombinator.com/launches/KuZ-demodesk-2-0-ai-sales-coach",
        "votes": 134,
        "created_at": "2024-04-24T15:17:13.834Z"
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      {
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      {
        "title": "Docker Extensions: Discover, Build & Integrate New Tools into Docker Desktop - Docker",
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        "answer": "The way we work is going global, with businesses hiring people scattered all over the world. But until now, no HR platform has been able to handle everything, for everyone. From different payroll software for every region to multiple HR platforms for their mix of workers, some teams have to use 16 different tools to make it work.Deel's the future of global HR, but it's a platform you can use today. It’s the only platform that works for your team wherever they are, whatever their status. Consolidate international hiring, payroll, and HRIS for contractors, EOR employees and team members hired through your own entities, into one easy-to-use platform.Building a global team is simpler than ever. Hire employees, sponsor visas and run payroll through our Deel-owned entities worldwide. Handle all things global HR in one place with built-in compliant contracts, background checks, equipment, app provisioning and more. Get a one-of-a-kind worldview of data across your global workforce, plus we integrate with any tool so you can customize any workflow and keep data in sync across your tech stack.Deel has everything to run your global team efficiently. It’s one place for everything and everyone, in our all-in-one HR platform built for global teams."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "To help millions of people work for the best companies in the world, no matter their location. Talent is everywhere, but opportunity is not. Finding your dream job shouldn’t be limited by borders. Qualifications, not location, should determine job opportunities."
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        "title": "Tempo Zones Bring Private Stablecoin Payments to Deel",
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        "title": "How This Chinese Immigrant Became One Of America’s Most Successful Self-Made Women",
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    "long_description": "Fuse provides single API that integrates with multiple bank connection vendors, such as Plaid, MX, Teller, Finicity and Yodlee. Users can easily search for and select their bank via a drop-in component in your app, and then the most reliable bank connection vendor for that bank will be displayed. Fuse also provides a consistent data model for all bank integrations and handles the necessary data transformations and API quirks for you.\r\n\r\nBy using Fuse, companies can improve the reliability of bank connections, reduce disconnections, and support more banks. ",
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        "full_name": "Boateng Opoku-Yeboah",
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        "full_name": "Tunde Alao",
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      {
        "id": 71221,
        "title": "Fuse: Maximize coverage & conversions for financial account connections",
        "tagline": "Combine the best financial aggregators, increase coverage and reduce disconnections - with one unified API.",
        "body": "We are Tunde, Landon, and Boateng, and we're excited to introduce [Fuse](https://www.letsfuse.com/)!\n\n**TL;DR - If you're searching for better bank connection coverage, improved connection reliability, and higher bank link conversion rates for your business, Fuse makes it easy to integrate multiple financial data aggregators and choose the best one for each institution. **[**Schedule a 30-minute demo**](https://calendly.com/letsfuse/fuse-demo)** to see how we can help you.**\n\n![uploaded image](/media/?type=post&id=71221&key=user_uploads/282513/e3a48d75-09ab-4061-9ad1-3f98bd3e1ae2)\n\n### ❌ The Problem\n\nIf you're building a product that requires customers to link their financial accounts, you might have integrated one financial data aggregator, only to experience the following issues:\n\n1. Customers unable to link unsupported institutions (e.g. credit unions, local or community banks)\n2. Frequent disconnections & API errors\n3. Low conversion rates to customers linking their financial accounts\n\nWe are familiar with this pain as we spent 3 years working on a consumer fintech app that required every customer to link their bank account.\n\n### ✨ The Solution\n\nFuse provides companies access to multiple financial data aggregators through a single integration and automatically selects the most reliable and optimally converting one for each connection. With Fuse, you can:\n\n* Support 10,000 more institutions\n* Reduce disconnections by 15%\n* Increase API success rates by 28%\n\nFuse provides a consistent data model for all bank integrations and handles the necessary data transformations and API quirks for you.\n\n![uploaded image](/media/?type=post&id=71221&key=user_uploads/282513/671c4290-e853-4b74-ab1a-851bc735437c)\n\n### ❤️ Favorite features of our customers\n\n* Fast integration: It takes one engineer just an afternoon to have a fully working integration, compared to months when combining aggregators in-house.\n* We partner with aggregators to help you get no-minimum, affordable contracts, and production API keys quickly.\n* Receive instant integration help and tech support via Slack from Fuse engineers.\n* Vast SDK availability: e.g., React, React Native, Flutter, iOS, Android, Node.js, Ruby, Python, and more.\n\n### ⚡How easy is it to migrate to Fuse?\n\nMigration is seamless due to our consistent data model resembling top aggregators, and our backward compatible endpoints that accept Fuse or aggregator access tokens, simplifying server updates.\n\n![uploaded image](/media/?type=post&id=71221&key=user_uploads/282513/93fa3bc8-8b6c-48e8-8e59-ef703d4c58bd)\n\n### **🫶** Ask\n\n1. [Schedule a 30 minute demo](https://calendly.com/letsfuse/fuse-demo) to see Fuse in action and learn more about how Fuse can improve your financial connections.",
        "url": "https://www.ycombinator.com/launches/IWj-fuse-maximize-coverage-conversions-for-financial-account-connections",
        "votes": 13,
        "created_at": "2023-04-26T20:22:01.911Z"
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    "name": "Caribou",
    "slug": "caribou",
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    "website": "https://usecaribou.com",
    "all_locations": "Lisbon, Lisbon, Portugal",
    "long_description": "Going global is now the norm. But the moment you set up an entity in another country, you inherit a tax and legal mess that compounds with every hire and every invoice. \r\n\r\nFor example, one jurisdiction has to be profitable, cash has to move between entities compliantly, and every cross-border decision has to be audit-ready, which today means a different law firm in each country, a tax advisor on top of that, and you coordinating the chaos.\r\n\r\nThe real expertise is locked up inside the Big Four. The world's largest companies pay millions a year for access. Everyone else gets selective coverage and hefty legal bills to half-solve the problem.\r\n\r\nCaribou is the first autonomous tax firm. No lengthy workshops, no months of back-and-fort; connect your finance and HR systems and we graph your business — every entity, process, and employee — into a model we call the Atlas. \r\n\r\nFrom there we check transfer pricing, surface legal risks you didn't know you had, maximise your R&D credits, and monitor for accidental taxes as your shape changes.\r\n\r\nAnd we don't just hand you a report. We speak to your accountants, draft the legal agreements, and implement the fix ourselves. We've turned an \r\neight-week engagement into three hours.\r\n\r\nWhy work with three firms when one does the job?\r\n\r\nWe're already working with fast-growing companies like Butternut Box, OpenFX, Encord, Vertice, Omnea, and Hadrian - we've saved them hundreds of thousands on legal fees and surprise tax bills.",
    "one_liner": "The autonomous tax firm",
    "team_size": 10,
    "industry": "B2B",
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        "answer": "From international banking, to international taxes.\\\r\n\\\r\nCaribou was formerly rebank (W19). rebank was the first open banking product for global businesses. We integrated banks across Europe & the US, allowed you to send money globally, and monitor your financial metrics from one dashboard.\r\n\r\n\\\r\nBuilding rebank taught us that companies were going global earlier, and law/accounting firms couldn’t keep up with their cross-border needs. That insight led us to pivot to Caribou in 2024."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The way startups scale has gone global. Even the smallest teams now operate across borders—with a Delaware C-Corp, a UK subsidiary, and contractors in three countries. But the tax system hasn’t kept up. Every multinational, no matter how small, is legally required to follow _transfer pricing_ rules—complex regulations designed for giants like Google and Apple.\r\n\r\nThat means founders suddenly have to deal with one of the most complicated areas of tax, law, and accounting: proving that the way their entities share profits, people, and IP is fair and compliant. Getting it wrong can cost them everything—from lost R&D credits and double taxation to failed funding rounds and audits they can’t afford.\r\n\r\nUntil now, there’s been no solution for this. Big Four firms charge six figures for what early-stage startups need to do, while accountants and lawyers are guessing—or skipping it entirely. We saw founders “flying blind” and leaving huge amounts of cash on the table, not because they didn’t care, but because the system wasn’t built for them.\r\n\r\nCaribou changes that. We automate the hardest parts of transfer pricing by collecting and structuring messy business context with AI. What used to take consultants months now takes minutes, and with greater accuracy.\r\n\r\nWe’re solving this because global ambitions shouldn’t be punished by complexity. Caribou makes international tax compliance simple, affordable, and scalable—so ambitious startups can grow like multinationals, without the pain of becoming one."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "To build the first autonomous tax firm.\r\n\r\nFor global to feel as frictionless as local."
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/caribou.json",
    "year_founded": 2024,
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        "full_name": "Juan Andrade",
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        "location": "London, England, GB",
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    "id": 12091,
    "name": "Superb AI",
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    "website": "https://www.superb-ai.com",
    "all_locations": "Seoul, Seoul, South Korea",
    "long_description": "Superb AI is a leading computer vision platform and professional services provider that provides enterprise-grade, end-to-end MLOps and DataOps workflows to accelerate the adoption and development of data-centric AI. Through the practical application of AI-based automation, Superb AI helps teams manage the entire ML lifecycle more efficiently, from data annotation to curation, model training, and deployment, while ensuring optimal data accuracy and consistency.",
    "one_liner": "Superb AI provides end-to-end computer vision MLOps platform",
    "team_size": 80,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "stage": "Growth",
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    "year_founded": 2018,
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      {
        "id": 84634,
        "title": "Dover: Recruiting partners",
        "tagline": "World-class, on-demand fractional recruiters.",
        "body": "# tl;dr:\n\n• Today, Dover is launching Recruiting Partners, connecting you with seasoned recruiters who work as an extension of your team.\n\n• Get flexible, on-demand recruiting help from pros with 10-15 years of experience who've worked with top startups and tech companies.\n\n• Scale your recruiting efforts up or down as needed, without the overhead of a full-time hire.\n\n• Most companies spend an average of $80/hour. Start with as little as $800 (fully refundable deposit).\n\n✨ If you're hiring, get matched with a recruiter at [dover.com/recruiter](http://dover.com/recruiter) ✨\n\n# Dover Recruiting Partners\n\nWe're thrilled to launch Dover Recruiting Partners – our biggest update yet to how startups can hit their hiring goals and hire the best talent.\n\nOver the past 5 years, Dover has helped 1500+ companies like Stripe, Scale AI, OpenSea, Benchling, and Vanta attract and hire top talent. Now, we’re introducing our most flexible and full-service hiring solution for startups: Dover Recruiting Partners.\n\n# 🚀 What are Dover Recruiting Partners?\n\nDover Recruiting Partners are vetted fractional recruiters who can work as an extension of your team. We only accept the top 2% of recruiters.\n\n![uploaded image](/media/?type=post&id=84634&key=user_uploads/5516/5b78d9d2-2b56-4bf3-8c70-9d233f4a3396)\n\n# Key features\n\n1️⃣ On-demand expertise: Get help from experienced recruiters when you need it, without the overhead of a full-time hire. Perfect for startups and companies with variable hiring needs.\n\n2️⃣ Flexible pricing: Ramp up or down based on your hiring needs – pay only for the hours you use.\n\n3️⃣ Tech-enabled efficiency: Recruiters can use Dover’s ATS, Sourcing Extension, and other tools so they can focus on strategic work and keep their costs low.\n\n4️⃣ Transparent metrics: We share cost-per-hire and fill rates for our recruiters before you hire them so you can find the perfect recruiter for you.\n\n# 🤔 Why did we build this?\n\nRecruiting consistently ranks as a top 3 problem for startups, regardless of their stage or industry. Before companies are big enough to justify hiring a full-time recruiter, they often have to resort to agencies.\n\nWe like to say with agencies, \"You'll be unhappy either way\"—either you won't make a hire and waste time, or you will make a hire and pay $30k+ per placement. There’s a reason you don’t hire engineers or marketers on “contingency.”\n\nWe wanted to provide a more flexible, higher-quality solution. Dover Recruiting Partners gives you access to top-tier recruiting talent without the long-term commitment or exorbitant fees. Our fractional recruiting model allows you to work with a separate expert recruiter for each role you're hiring for, whether it's a senior engineer, a sales leader, or a product manager.\n\n# 💰 How much does it cost?\n\nMost companies spend an average of $80 per hour, depending on the services they use. The cost per hire across the platform varies, but it usually ends up being between $4 and $7k.\n\n# 🚀 How do I get started?\n\nHead to [dover.com/recruiter](http://dover.com/recruiter) and click \"Get matched with a recruiter\". We'll set you up with a free call to understand your needs and match you with the perfect Recruiting Partner.\n\nWe're excited to help companies of all sizes build amazing teams. If you have any questions, drop them in the comments or email me directly at [max@dover.com](mailto:max@dover.com).\n\nRead more about how we got here on our blog: <https://www.dover.com/blog/introducing-dover-recruiting-partners>\n\nHappy hiring! 🎉",
        "url": "https://www.ycombinator.com/launches/M14-dover-recruiting-partners",
        "votes": 11,
        "created_at": "2024-10-09T20:37:06.566Z"
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        "id": 76737,
        "title": "AI Applicant Sorting by Dover",
        "tagline": "Chat-powered assistant to help you review resumes 10x faster",
        "body": "<https://www.youtube.com/watch?v=XDETxEtJiCQ&t=1s>\n\nApplicant volume for roles in tech has risen 2.4x in 2023 from last year’s averages. Yet it’s harder to filter down to top candidates and you can’t get back to everyone. It sucks for candidates too — they never hear back, and candidate experience takes a hit.\n\nThe proprietary tech that powers our automated outbound sourcing engine is now applied to reveal top applicants across all your job boards. Use extremely powerful filters and chat to find candidates matching exactly what you’re looking for and review resumes 10x faster — for free.\n\n**What is Dover?**\n\nOver the last five years, Dover (YC S19) has enabled Scale AI, OpenSea, Benchling, Vanta, Stripe, and 500+ other startups to make thousands of hires. You may have seen some of our other launches like our [Applicant Tracking System](https://www.producthunt.com/products/dover#free-ats-by-dover) and [Sourcing Autopilot](https://www.producthunt.com/posts/dover-autopilot).\n\n**What’s different from other resume review tools?**\n\nDover’s AI Applicant Sorting goes far beyond keywords. Dover has a knowledge graph of companies, industries, skillsets, and more.\n\nAI Applicant Sorting allows you to use super powerful filters and chat to find candidates based on exactly what you’re looking for.\n\nAs you review candidates, quickly approve or reject with a click. Take bulk actions to send the next steps in a fraction of the time. Use hotkeys to speed up review time even more.\n\n**What kinds of queries can I sort or filter by?**\n\nIt’s AI-powered, so you can get pretty nuanced:\n\n* “6+ years experience”\n* “based in the US or Canada”\n* “candidates with a fintech background”\n* \"people with experience at B2C startups”\n* “people who have worked on scalable systems”\n* “full stack engineers or people with similar titles”\n* “applicants who worked at well-reputed companies”\n* \"account executives with experience at SaaS startups\"\n* “product managers working in healthcare in San Francisco\"\n* “candidates with FAANG experience who went to a top school”\n* \"software engineers with at least 5 years of experience with React or Typescript experience\"\n\n**How hard is it to set up?**\n\nImport existing applicants from your Applicant Tracking System or get new candidates by posting a job for free with Dover’s ATS, which has everything startups need to build a great recruiting process and candidate experience. It costs $0 and takes 10 minutes to set up.\n\nJust want to try it out? Start using the tool with sample candidates in only a few minutes.\n\n**How much does it cost?**\n\nDover’s AI Applicant Sorting is totally free to use, just like our Applicant Tracking System.\n\n**Why is Dover releasing this for free?**\n\nDover’s mission is to help every company run an incredible hiring process and every candidate has a great experience. The best way to do this is by building easy-to-use tools to help every company get the basics right.\n\nWe make money by selling [Sourcing Autopilot](http://dover.com/sourcing-autopilot) and [Embedded Recruiter](http://dover.com/embedded-recruiter) to companies that need help with sourcing or full-cycle recruiting.\n\n**How do you ensure the AI doesn’t create bias?**\n\nIf you throw AI at a problem, bias can be created. We’ve built this model by inputting specific data and criteria and examining what’s happening with the AI output. We use AI to make it faster and easier.\n\nWe built this feature to make sure you find people who should get a second look and to ensure everyone hears back from you. AI is used to sort candidates, Dover doesn’t autoreject based on its output.\n\n**How do I get started?**\n\nGet started [**here**](https://www.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bfwww.dover.com/ai-sorting?utm_source=bookface&utm_campaign=ai_sorting_bf).\n\nIf you’re interested in a demo or a white-glove onboarding, email [hello@dover.com](https://www.producthunt.com/products/dover#free-ats-by-dover)",
        "url": "https://www.ycombinator.com/launches/Jxh-ai-applicant-sorting-by-dover",
        "votes": 10,
        "created_at": "2023-12-07T17:18:51.315Z"
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        "user_id": 250038,
        "full_name": "Jesus Marco del Carmen",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jmdelcarmen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6598509f3c73a03abc53053b2a38f579285da70.jpg"
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    ],
    "jobs": [
      {
        "id": 70984,
        "title": "Former Founder ",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/VMgBkYB-former-founder",
        "location": "Austin, TX / San Francisco, CA / New York, NY",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$1 - $200K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106473,
        "title": "Design Engineer ",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/yoAdoQ4-design-engineer",
        "location": "New York, NY / Austin, TX",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116011,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/eDFY1pu-enterprise-account-executive",
        "location": "New York, NY / San Francisco, CA / Washington D.C. / Austin, TX",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$280K - $370K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116012,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/n8dHF2L-solutions-engineer",
        "location": "San Francisco, CA / New York, NY",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$170K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116014,
        "title": "Software Engineer  ",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/PtIUu82-software-engineer",
        "location": "New York, NY / Washington D.C. / Austin, TX",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116016,
        "title": "Senior Software Engineer  ",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/PydfFE2-senior-software-engineer",
        "location": "New York, NY / Washington D.C. / Austin, TX",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$205K - $240K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116021,
        "title": "Forward Deployed Product Manager",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/WztzsKJ-forward-deployed-product-manager",
        "location": "New York, NY / San Francisco, CA",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$180K - $220K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116022,
        "title": "Senior Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/WhOOndj-senior-technical-recruiter",
        "location": "New York, NY",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$150K - $175K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116024,
        "title": "Enterprise Account Executive, Commerce",
        "url": "https://www.ycombinator.com/companies/method-financial/jobs/1oALVWR-enterprise-account-executive-commerce",
        "location": "San Francisco, CA / New York, NY",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$130K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Method is helping fintech companies like SoFi build repayment functionality into their apps | TechCrunch",
        "url": "https://techcrunch.com/2025/01/23/method-is-helping-fintech-companies-like-sofi-build-repayment-functionality-into-their-apps/",
        "date": "Jan 23, 2025"
      },
      {
        "title": "Method Financial Expands Reach to 200k+ Americans Managing More than $22 Billion",
        "url": "https://www.bloomberg.com/press-releases/2023-07-18/method-financial-expands-reach-to-200k-americans-managing-more-than-22-billion-in-consumer-debt",
        "date": "Jul 18, 2023"
      },
      {
        "title": "Embedded finance startup Method raises $16M",
        "url": "https://www.axios.com/pro/fintech-deals/2023/01/26/embedded-debt-repayment-method-16m",
        "date": "Jan 26, 2023"
      },
      {
        "title": "Propelling the next decade of consumer finance | Method Financial",
        "url": "https://methodfi.com/blog/series-a",
        "date": "Jan 26, 2023"
      },
      {
        "title": "Method raises $16M to power loan repayment, balance transfers and more across fintech apps • TechCrunch",
        "url": "https://techcrunch.com/2023/01/26/method-raises-16m-to-power-loan-repayment-balance-transfers-and-more-across-fintech-apps/",
        "date": "Jan 26, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 12550,
    "name": "Kraftful",
    "slug": "kraftful",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd3dcfbc4e3832c69cd097d276e4519742e599c7.png",
    "website": "http://www.kraftful.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Helping product builders to listen to users at scale so they can make something people want.",
    "one_liner": "Copilot for product teams",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1556079534,
    "tags": [
      "Generative AI",
      "B2B",
      "NLP",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/kraftful",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/kraftful.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kraftful",
    "x_url": "https://twitter.com/kraftful",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/kraftful",
    "github_url": "https://github.com/kraftful",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd3dcfbc4e3832c69cd097d276e4519742e599c7.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 331211,
        "full_name": "Yana Welinder",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Kraftful (acquired by Amplitude)\n\nBefore starting Kraftful, I led product at a range of tech companies, from being PM #2 at a fast-growing unicorn to heading product teams building products used by millions. That experience inspired me to start Kraftful, to help product teams ship products people love.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ywelinder/",
        "x_url": "https://twitter.com/yanabana",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e5d63bea02c5d76b2ceeacb637f7de78a5dad44.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Amplitude Acquires Kraftful to Power Customer-First Product Building | Amplitude",
        "url": "https://amplitude.com/blog/amplitude-acquires-kraftful",
        "date": "Jul 10, 2025"
      },
      {
        "title": "Kraftful is one of Fast Company's Most Innovative Companies of 2024",
        "url": "https://www.fastcompany.com/91030328/kraftful-most-innovative-companies-2024",
        "date": "Mar 19, 2024"
      },
      {
        "title": "A new generation of Silicon Valley designers is racing to build AI’s n",
        "url": "https://www.fastcompany.com/90931154/a-new-generation-of-silicon-valley-designers-is-racing-to-build-ais-next-big-thing",
        "date": "Aug 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 91584,
        "title": "Kraftful Inbox for all your user feedback",
        "tagline": "Build something people want, by listening to users at scale.",
        "body": "**TLDR**\\\nKraftful Inbox automatically gathers, analyzes, and prioritizes user feedback from every channel, instantly turning insights into Jira/Linear tickets. One place for all user insights.\n\n[https://youtu.be/hiIJIGgvdMk?si=BaDElfjt6iE_ots9](https://youtu.be/hiIJIGgvdMk?si=BaDElfjt6iE_ots9%5C)\n\n**Problem**\\\nCollecting user feedback from user interviews, surveys, app reviews, sales calls, support tickets is messy and exhausting. Most teams give up entirely.\n\nNow you don’t have to.\n\n**Solution**\\\nKraftful Inbox automatically pulls in feedback from sales calls, user interviews, support tickets, surveys, app reviews, Reddit, Discord, even Slack conversations with customers.\n\nEvery day, it analyzes feedback to surface the most important feature requests, bugs, pain points, and insights—then suggests exactly how they fit into your roadmap.\n\nWant to act fast? Instantly turn any insight into a Jira or Linear ticket.\n\nYour Inbox updates daily, consolidating fresh insights, counting how often each issue arises, and linking directly to relevant context.\n\nPlug in your CRM to tie feedback directly to revenue impact. Spot trends, manage feedback seamlessly, and maintain a single source of truth for user insights.\n\nLoved by 50,000+ product teams.\\\nSee why: [kraftful.com](http://kraftful.com)",
        "url": "https://www.ycombinator.com/launches/NpA-kraftful-inbox-for-all-your-user-feedback",
        "votes": 99,
        "created_at": "2025-06-24T16:41:53.594Z"
      },
      {
        "id": 84241,
        "title": "Social Apps Research by Kraftful",
        "tagline": "Learn what users want from app reviews of TikTok, X, Facebook, and other social apps.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, it also helps with [market research for social apps](http://www.kraftful.com/marketresearch/social-media).\n\n![uploaded image](/media/?type=post&id=84241&key=user_uploads/331211/1003a0bb-165b-4ba9-bca5-8368a7226b10)\n\n# Who has the bandwidth to read app store reviews?\n\nApp store reviews are full of insights about what users want from different products. But for product builders, sifting through thousands of reviews to prioritize features is nearly impossible.\n\nSince launching Kraftful’s AI-powered feedback analysis, our customers have been using it to quickly gather and learn from app reviews, including those of their competitors.\n\nTaking their feedback to heart, we’ve now made it even easier to get these valuable competitor insights directly through Kraftful.\n\n# Insights from hundreds of thousands of reviews\n\nToday, we’re excited to launch the second part of our market research: social media apps.\n\nKraftful has analyzed hundreds of thousands of app reviews to summarize:\n\n1. The most requested features in social apps.\n2. The most common complaints about the top social apps.\n3. What users care about most in a social app.\n\nYou can explore summaries for the entire social category or dive into specific apps like TikTok, X, Threads, Facebook, LinkedIn, and more.\n\n**Next up:** dating apps!\n\nWe initially focused on design tools and intended to survey various other B2B solutions. But after reading [Michael Seibel’s post](https://x.com/mwseibel/status/1835063692117103090) that this is the time for consumer products, we quickly pivoted to focus on the consumer market.\n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)",
        "url": "https://www.ycombinator.com/launches/Luj-social-apps-research-by-kraftful",
        "votes": 12,
        "created_at": "2024-09-23T21:31:32.951Z"
      },
      {
        "id": 84112,
        "title": "Market Research by Kraftful",
        "tagline": "Learn what users want from online reviews in a product category. ",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work so that you can focus on strategy and product craft. Now, [it also helps with market research](https://www.kraftful.com/marketresearch/design).\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/d1f1ce12-47df-455d-88f8-269071aa5fd7)\n\n# Who has the time for market research?\n\nWhen building a product, the internet is packed with reviews about what users want. \n\nBut let’s be honest, who has time to find and sift through it all?\n\nSince launching Kraftful’s AI analysis for user feedback, many of our customers have used it to gather and analyze public reviews from competitors on app stores, G2, and Trustpilot.\n\nListening to our customers, we’ve made it even easier to get these insights directly from Kraftful.\n\n# Key insights from thousands of G2 reviews\n\nToday, we’re excited to launch the first part of our [market research](https://www.kraftful.com/marketresearch/design), starting with SaaS tools for **design**.\n\nKraftful has analyzed thousands of G2 reviews to summarize:\n\n1\\. The most requested features in design tools.\n\n2\\. The most common complaints about top design tools.\n\n3\\. What users care about most in a design tool.\n\nYou can explore summaries for the entire design tool category or dive into specific tools like Figma, Canva, and more.\n\n**Next up:** marketing tools! \n\nBut we’d love to hear from you—what categories are you curious about, and what insights would be most helpful? (respond to a [Kraftful AI interview](https://klever.kraftful.com/surveys-public/marketresearch) 👍)\n\n![uploaded image](/media/?type=post&id=84112&key=user_uploads/331211/941c595c-ab21-4625-b385-0f7841dd551d)\n\n",
        "url": "https://www.ycombinator.com/launches/Lse-market-research-by-kraftful",
        "votes": 19,
        "created_at": "2024-09-18T15:08:37.784Z"
      },
      {
        "id": 83412,
        "title": "Kraftful 3.0 — Build loved products ❤️",
        "tagline": "Use AI to listen to your users and integrate what you learn directly into your dev process.",
        "body": "**TL;DR:** Kraftful AI handles the tedious product work, so you can focus on strategy and product craft.\n\nTry it for free at [kraftful.com](http://kraftful.com).\n\n[Here’s a 3 min demo](https://youtu.be/0b5Xi1xb11A).\n\n**The Problem:**\n\nListening to users and acting on their feedback is tough.\n\nYC constantly reminds us to talk to users because it’s challenging.\n\nEven when you prioritize it, users often don’t have the time to tell you what they need.\n\nWhen they do, it’s scattered across different channels, making it hard to turn troubleshooting conversations into actionable “what should we build next” decisions.\n\nThe larger your company gets, the more disconnected you become from your users.\n\n**The Solution:**\n\nWhy do people love Kraftful?\n\nIn our recent Product Hunt launch, “love” was one of the most common words in the comments. Customers rave about Kraftful because it simplifies collecting valuable user insights and acting on them.\n\nHere’s how Kraftful works:\n\n1. **Have existing feedback?** Tell us the source, and we’ll collect, transform, and present it as feature requests and other actionable insights, making it easy to dig deeper or take action.\n2. **No feedback yet?** Kraftful generates surveys in 2 clicks or creates personalized interviews to complement your user calls.\n3. **Connect your Zoom or Google Meet calls** to get real-time insights.\n4. **Once you have insights:** Kraftful generates PRDs, projects, and user stories based on your user feedback and syncs directly with Linear or Jira. Or assign tickets directly in Kraftful.\n\nWhat used to take hundreds of hours now takes minutes.\n\nSimplicity is key. Unlike alternative solutions, Kraftful doesn’t overwhelm you with complex clustering, data labeling, or confusing UIs. We handle the complexity under the hood—extracting insights, grouping them, and eliminating LLM hallucinations. All you need to know is what your users need, and Kraftful delivers that in the simplest way possible.\n\nGive Kraftful a try and [share your thoughts](https://klever.kraftful.com/surveys-public/kraftful3yc) (respond to an AI interview 👍).",
        "url": "https://www.ycombinator.com/launches/LhM-kraftful-3-0-build-loved-products",
        "votes": 21,
        "created_at": "2024-08-26T17:40:36.715Z"
      },
      {
        "id": 80514,
        "title": "⭐️ Kraftful: AI-powered user interviews",
        "tagline": "An army of UX researchers to interview millions of users in minutes",
        "body": "**TLDR:** talk with millions of users simultaneously to build something people want.\n\nTry it for free on kraftful.com\n\nHere’s a 3 min demo: <https://youtu.be/BnbquZSz6v4>\n\n**Problem:** \n\nUsers hate long generic surveys, which leads to low response rates – sometimes just 5%😱 \n\nIf you have millions of users, this means you're not getting insights from a representative sample of your customer base. \n\nWorse still, if you're just starting out with only a few users, a low response rate can mean no responses at all 😞\n\n**Solution:** \n\nWith Kraftful, you can engage users or potential users with just 1-3 targeted questions instead of long, generic surveys.\n\nWhen they respond, they'll receive personalized follow-up questions tailored to their specific pain points—making the interaction more relevant and engaging.\n\nKraftful then summarizes all responses, delivering precise product insights from the collected data. \n\n**Why are Kraftful AI-powered interviews so great?**\n\n1. **They reveal insights that were previously out of reach:** Much like the information you'd get from an in-depth user conversation with the ability to ask follow-up questions. Plus, you can engage with many more users who can respond at their convenience and choose the depth of their engagement.\n2. **Massive time-saver:** Interview thousands or even millions of users simultaneously, with all responses summarized in minutes. This can save hundreds or thousands of hours, streamlining your research process dramatically.\n3. **Your own army of professional UX researchers:** Kraftful generates thoughtful questions based on the data you've already collected, eliminating the need to research best practices or spend time crafting questions.\n\nGive it a try and [let us know what you think](https://klever.kraftful.com/surveys-public/launchyc) (by responding to an AI interview👍) \n\n![uploaded image](/media/?type=post&id=80514&key=user_uploads/331211/30db3948-67ea-4d08-9a6c-f703ab1ee2a7)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwc-kraftful-ai-powered-user-interviews",
        "votes": 275,
        "created_at": "2024-04-30T15:02:17.677Z"
      },
      {
        "id": 78451,
        "title": "Kraftful Surveys GPT - Generate surveys in ChatGPT and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "Product research is now free, easy, and FAST with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys):\n\n* Instantly generate a free survey on any topic directly inside ChatGPT.\n* Send a link to your users or embed the survey on your website to collect feedback.\n* Kraftful analyzes all the survey responses to give you product insights and helps you create follow-up surveys for deeper insights.\n\nWhat used to take hundreds of hours can now be done in minutes. Creating and analyzing user surveys has never been faster. And Kraftful Surveys are FREE.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/b4df9a14-9f9c-49dd-9ab1-8b4ad47163f4)\n\n**How Kraftful Surveys Work: AI-Powered Surveys and Analysis**\n\n**1\\. AI-Generated Surveys:**\\\nJust start Kraftful Surveys GPT inside ChatGPT, request a survey on your topic of choice, and voila! In minutes, you'll have a survey ready to send to users. Kraftful writes thoughtful questions on the topic and selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nYou have the option to fine-tune the survey in Kraftful before distribution. Once your survey is ready, you can email it to your users or embed it directly on your website.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/49f3e48e-63e4-4bcd-a506-a2bdbd92ccf3)\n\n**2\\. AI Analysis of Survey Responses:**\\\nThe real magic of Kraftful? All survey responses are automatically analyzed in Kraftful, highlighting top product insights.\n\n![uploaded image](/media/?type=post&id=78451&key=user_uploads/331211/2d56734f-0056-4529-b226-7a9b18cdb20e)\n\n**3\\. AI-Generated Follow-Up Survey:**\\\nOnce you have user feedback in Kraftful, either from your survey or by syncing any of the 30+ supported feedback sources, you can use that past feedback to generate a free follow-up survey that digs deeper.\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import. It then writes thoughtful questions that go beyond the insights you’ve already gathered.\n\nYou can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses. Kraftful Surveys are always free, so you have no reason to continue paying for your expensive survey platform and also waste your time writing questions.\n\n**Why We Built This**\\\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback.\n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n\nEach survey builds upon insights from the previous one to faster learn what users need.\n\n**How to Get Started with Kraftful Surveys**\\\nGet started with [Kraftful Surveys GPT](https://chat.openai.com/g/g-pPDqT7sZf-kraftful-surveys) in ChatGPT today and streamline your user feedback process. We'd love to hear your feedback!",
        "url": "https://www.ycombinator.com/launches/KPL-kraftful-surveys-gpt-generate-surveys-in-chatgpt-and-analyze-responses-with-ai",
        "votes": 17,
        "created_at": "2024-02-15T16:00:21.363Z"
      },
      {
        "id": 77763,
        "title": "Kraftful Surveys - Generate product surveys and analyze responses with AI",
        "tagline": "Copilot serving 30K+ product teams.",
        "body": "# TLDR\n\nToday we’re changing the game in product research with [Kraftful Surveys:](https://www.kraftful.com/)\n\n1. Instantly generate a survey based on past user feedback or a new topic you want to explore.\n2. Kraftful analyzes all the survey responses to give you product insights like top feature requests, complaints, and loved features.\n3. For interesting feature requests, you can select to have Kraftful turn them into user stories with acceptance criteria and automatically sync to Jira tickets.\n\nWhat used to take hundreds of hours, can now be done in minutes. It’s never been faster to survey hundreds or thousands of users.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/fff8749a-f2bb-4681-b61b-3ea3f6184537)\n\n# Why we built this\n\nIn my experience as a product leader at various tech companies, gathering user feedback from app reviews, support tickets, call transcripts, and other sources was always a struggle. The real gold lay in surveys, dense with product insights due to their targeted nature.\n\nHowever, setting up effective surveys and analyzing their responses is incredibly time-consuming. As a result, surveys are done rarely. Teams try to squeeze in as many questions as possible, leading to low response rates and less representative feedback. \n\nKraftful Surveys addresses this issue by leveraging past feedback to generate focused survey questions, enabling:\n\n* More frequent surveys\n* Shorter, more engaging surveys for users\n* Each survey builds upon insights from the previous one to faster learn what users need\n\n# How it works: AI AI AI\n\n### 1\\. AI generated surveys:\n\nKraftful studies your user interview notes, app reviews, support tickets, or whatever past feedback you import and writes thoughtful questions that go beyond the insights you’ve already gathered. It also selects the optimal format for each question – be it text, multiple choice, or Likert scale. No more tedious survey prep.\n\nIf you want to gather input on a new topic, you can just enter your survey topic and watch Kraftful Surveys turn it into thoughtful questions in a few seconds. Once your survey is ready, you can email it to your users or embed it directly on your website. \n\nIf you want, you can edit the AI-generated questions, change the for mat, move questions around, and anything you’d normally do with a survey tool (but without paying for an additional survey tool). Prefer the old-fashioned way? You can also manually write your survey or use our NPS survey template to take advantage of instant Kraftful summaries of the survey responses.\n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/51f8abff-ba74-4ede-8a4d-099ccf2d567b)\n\n### 2\\. AI analysis of survey responses:\n\nThe real magic of Kraftful? All survey responses are automatically summarized in Kraftful, highlighting top feature requests, complaints, and loved features. Beyond our auto-generated product topics, you can dive deeper into the survey data with our chat, or review raw responses for more context. No more weekends spent sifting through hundreds of survey responses looking for the nuggets. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/a988f656-6903-4f9b-82b8-9e01e31ba8c5)\n\n### 3\\. AI-generated user stories synced to Jira:\n\nWhen you spot interesting feature requests or complaints on the automatically generated lists, Kraftful can turn them into user stories with acceptance criteria and instantly sync the user stories to Jira so your team can start working on them. \n\nIn other words, you make the strategic decisions based on the user insights Kraftful brings you. And then Kraftful does the leg work to integrate those decisions into your backlog so your team can get to work. \n\n![uploaded image](/media/?type=post&id=77763&key=user_uploads/331211/bb7f2f44-af5d-4230-a3d3-869d164925fc)\n\n# How to get started with Kraftful Surveys\n\nGet started with our [free plan at](https://www.kraftful.com/) [kraftful.com](http://kraftful.com) and ditch your expensive survey tool. Let me know what you think!",
        "url": "https://www.ycombinator.com/launches/KEF-kraftful-surveys-generate-product-surveys-and-analyze-responses-with-ai",
        "votes": 20,
        "created_at": "2024-01-23T15:03:48.510Z"
      },
      {
        "id": 74519,
        "title": "Kraftful – Copilot for product builders",
        "tagline": "Listen to millions in minutes.",
        "body": "### **TLDR**\n\nAt the heart of every great product is the user. Kraftful Copilot makes ✨magic✨ happen – empowering product builders to listen to millions of users in just minutes and seamlessly integrate that feedback into their work.\n\nWould love for you to try it out ([free](https://www.kraftful.com/)!) and provide feedback.\n\nhttps://www.youtube.com/watch?v=bxBrpvdVWM8\n\n### **Problem**\n\nLeading product teams before I started Kraftful, one of my biggest challenges was to figure out how my teams would effectively gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else users wanted to give us an earful 😆\n\nBeyond the struggle of manually collecting and parsing through volumes of feedback, it’s impossible to quickly learn how frequently issues come up from different user groups and incorporate the learnings in the product development process.\n\n### **Solution**\n\nWe launched an MVP earlier this year in beta and got many millions of users from Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, and many many more 🔥\n\nKraftful users built comprehensive feedback repositories on [kraftful.com](http://kraftful.com), analyzing over 13M pieces of user feedback. Kraftful Copilot saved them a whopping 100,000 hours of manual digging around in interviews, app reviews, support tickets, and other digital nooks and crannies.\n\nNow we're thrilled to unveil a more comprehensive solution, allowing you to:\n\n✅ Connect feedback from app stores, Zendesk, Intercom, and 30+ other sources \\\n👀 Explore actionable summaries of user feedback\n\n💌 Receive weekly insights in your mailbox and share with your team in Slack\n\n🤖 Automatically sync new feedback for daily, weekly, and monthly summaries so that nothing slips through the cracks\n\n💡 Uncover deeper insights through follow-up conversation with Kraftful Copilot\n\n📝 Whip up AI-written user stories with acceptance criteria and instantly sync them to Jira or post to Linear, Trello, or wherever you track your dev work\n\n\\\nGive it a try at [kraftful.com](http://kraftful.com) and let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com) ✨",
        "url": "https://www.ycombinator.com/launches/JNv-kraftful-copilot-for-product-builders",
        "votes": 31,
        "created_at": "2023-08-30T19:35:40.393Z"
      },
      {
        "id": 71519,
        "title": "Kraftful Plugin for ChatGPT - Your on-demand product coach",
        "tagline": "Kraftful is building a co-pilot for product builders, capable of summarizing large volumes of user feedback in mere seconds. Now, you can directly access our product coach within ChatGPT.",
        "body": "## TLDR 👀\n\nKraftful Plugin is now live in the ChatGPT plugin store!\n\nAsk questions about product management best practices and get insightful answers summarizing thinking from all the top product gurus! It’s like having your own product coach, but available 24/7 inside ChatGPT.\n\n![uploaded image](/media/?type=post&id=71519&key=user_uploads/331211/38bef5b7-5e15-403a-b7bf-7633c52f8278)\n\n## Problem 🔍\n\nDrowning in a sea of PM best practices online? The internet can be a noisy place for product builders.\n\nChatGPT is excellent at weeding through online content. But it currently doesn’t include blog posts and other product musings created after 2021. And let’s be honest, not all internet sources are created equal when it comes to getting product advice. \n\n## Solution 🎉\n\nKraftful plugin to the rescue! We’re excited to be one of the first few plugins to officially launch in the ChatGPT plugin store.\n\nThe Kraftful plugin gathers insights from a large list of reputable product resources and supercharges them with ChatGPT for quick, concise info!\n\nAt [Kraftful](https://www.kraftful.com/), we have a large community of product people, who have been recommending their go-to sources on various product dev questions ([some](https://www.kraftful.com/blogs/top-40-podcasts-for-product-builders) [examples](https://www.kraftful.com/blogs/100-must-read-books-for-product-managers-in-2023)). We’re now harnessing the power of GenerativeAI to bring it all together. \n\n## Try it out 🦾\n\nIf you have access to ChatGPT plugins, please try it out [in ChatGPT](https://chat.openai.com/) and let us know what you think. \n\nPlugin access is still being rolled out to ChatGPT users. So if you're still waiting for access, you can try out the Kraftful plugin by asking a PM best practices question [in this thread](https://twitter.com/yanatweets/status/1655584706685984773?s=20) & I'll share the plugin response with you there.",
        "url": "https://www.ycombinator.com/launches/IbX-kraftful-plugin-for-chatgpt-your-on-demand-product-coach",
        "votes": 25,
        "created_at": "2023-05-11T14:41:43.906Z"
      },
      {
        "id": 69687,
        "title": "Kraftful – ChatGPT for product research",
        "tagline": "Helping product builders to listen to users at scale",
        "body": "**TLDR**\\\nHaving led product teams at companies big and teensy, I’m excited to share a solution to involve masses of users directly in the development process to build products people love 🥰\n\nWould love for you to try it out ([free trial](https://www.kraftful.com/)) and provide feedback.\n\n![uploaded image](/media/?type=post&id=69687&key=user_uploads/331211/b2936511-7594-4003-8f64-3cbe849f5198)\n\n### **Problem**\n\nBeing a product lead before starting Kraftful, one of my teams’ biggest challenges was to manually gather insights from user interviews, app store reviews, support tickets, sales calls, and really anywhere else our millions of users wanted to give us an earful 😅\n\nEven with thousands of users, it can take hundreds of hours to try to parse through everything. It’s impossible to quickly act on all this data. Just like \\*NSYNC, users who don't feel heard end up saying \"bye bye bye” 💔💔\n\n### **Solution**\n\nNow imagine if you had the tools to effectively listen to users and make them feel heard – that would advance product development AND user satisfaction because they’d be actively engaged in the development process. \n\nWith Kraftful, you can: \n\n✅ Connect a source (e.g. iOS/Android app store reviews, Zendesk, Intercom, Front) or paste user interview notes, call transcripts, or other relevant text\n\n👀 Check out the instant summaries of frequent feature requests, common complaints, most loved app features, and lists of mentioned competitors\n\n💡 Ask follow-up questions with our ChatGPT-like assistant to uncover insights like “what do users say about X feature” or “how do users currently complete this task”\n\n💪 Use these insights to build or refine your product roadmap\n\nThis is not your mother’s AI summarization tool 😅 We’re building a solution for product teams to help them connect with users in new ways. Today’s launch is the first step toward that vision.\n\n### **Sign up for a free trial**\n\n[Give it a try!](https://www.kraftful.com/) User feedback is our jam, so let us know what you think at [feedback@kraftful.com](mailto:feedback@kraftful.com)✨\n\nWhile we’re launching in Beta, we’ve seen incredible demand for our solution. The product in Alpha has already been used by thousands of product builders from companies like Google, Microsoft, Meta, Netflix, Canva, Dropbox, Atlassian, LinkedIn, Oracle, Kayak, Volvo, Johnson & Johnson, the National Art Gallery, London Underground, 7-Eleven, and many others 🔥🔥🔥",
        "url": "https://www.ycombinator.com/launches/I7z-kraftful-chatgpt-for-product-research",
        "votes": 32,
        "created_at": "2023-02-27T04:00:12.496Z"
      }
    ]
  },
  {
    "id": 12565,
    "name": "Odeko",
    "slug": "odeko",
    "former_names": [
      "Cloosiv",
      "Odeko (Formerly Cloosiv)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e7b7eb171eccce88cf7089d2997df49764f1c.png",
    "website": "http://www.odeko.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "We’re a passionate team of dreamers and builders, determined to liberate small businesses from the not-so-fun aspects of the job so that they can focus on what’s fun and important.",
    "one_liner": "Our operations software makes it easier to run--and grow--your cafe",
    "team_size": 371,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1556154664,
    "tags": [
      "B2B",
      "Logistics"
    ],
    "tags_highlighted": [],
    "top_company": true,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "It’s often said, but it bears repeating - although the batch itself was an incredibly valuable experience, we’ve benefited far more from the value that’s created across the YC community itself. This community has led to an incredible number of introductions and relationships with partners, customers, investors, and friends - it’s truly endless and we’ll forever be grateful to participate as a small piece of this growing network. It’s also important to note that the advise doesn’t end when the batch does, and we could never have navigated the COVID-19 pandemic the way we were able to if it weren’t for the advice of our partners throughout. Gustaf, Aaron and Dalton were responsive, informative, and ultimately supportive of the decisions that we made throughout that process, and to this day continue to be trusted partners and friends."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When we first started we didn’t have a product, nor did we know what product we were going to build. Instead, because of our experience successfully scaling multiple SMB-oriented startups, our initial focus was on assembling the right team and identifying the best sub-vertical to support. With those steps completed, we set out to establish relationships with coffee brands who could help us identify their industry’s operational pain points. After quickly building relationships with some of the biggest independent brands in the industry like Birch Coffee and Joe Coffee Company, we honed in on solving their frustration with procurement and set out with an excellent team, a large available market, and several engaged customers to build the first piece of the Odeko platform. As a company, we’ve endured several booms and busts before finding product-market fit and scaling rapidly - from our early days as an AI-powered procurement engine that showed signs of life before the pandemic, to our soul searching days in early 2020 that led to our merger with Cloosiv, and ultimately the post-pandemic economic recovery that saw us rapidly on a first-of-its kind platform that sparked rapid growth for our company. Today, Odeko is stronger than ever, with 90% of our pre-COVID customers reopening their doors and using Odeko’s new, more robust platform to run their businesses. We faced the pandemic head on with little room to maneuver, and emerged from it not only armed with a second critical piece of our platform, but having grown to support nearly ten-times the number of small businesses than we had before the lockdown."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Where large chain brands value structure and speed, the modern local café has historically placed a premium on the human experience. Although a noble pursuit, the value of slowing us down to enjoy a beautiful latte and an easy conversation has concurrently slowed the pace of operators, with small businesses more often employing analog solutions for the big problems they face. As the world around them continues to evolve, local cafés have slipped further into the crevasse. Behemoths have expanded their footprints across the globe, each new store front strategically placed to snuff out the local cafés' existence from Main Street. This is largely a result of evolving national competition that rapidly develops and tests new technology at scale, while independent brands are victims of the available mass market, where technology has yet to evolve past various iterations of the point-of-sale system out front."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Odeko addresses the problem, by building an intuitive and affordable technology stack that’s designed to help small businesses increase their revenue, lower their costs, and reduce their carbon footprint. We got started in 2019 by first identifying coffee shops, bakeries, and cafés as the best entry point into the quickserve market, because of the vertical’s limited technology footprint, relatively standardized workflow, and low SKU count. We then narrowed our attention to focus on the two areas of concern that we most commonly heard to be pain points for our early café customers - _supply_ and _demand_. With these two points of entry, we’ve solidified the foundation to build our technology stack on top of, allowing us to continuously ship new components and immediately test the value of that work with our customers. Today, we support thousands of coffee shops, bakeries, and cafés with our supply and mobile ordering products, and will soon empower them to succeed with a platform of tools spanning ops management, finance, marketing, procurement, expansion, and much more."
      }
    ],
    "url": "https://www.ycombinator.com/companies/odeko",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/odeko.json",
    "year_founded": 2019,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/officialodeko/",
    "x_url": "https://www.twitter.com/officialodeko",
    "fb_url": "https://www.facebook.com/officialodeko",
    "cb_url": "https://www.crunchbase.com/organization/odeko",
    "github_url": "https://github.com/OdekoTeam",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e7b7eb171eccce88cf7089d2997df49764f1c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 243190,
        "full_name": "James Burkhardt",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/james-burkhardt-6bb4ab48/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c59661fcf73a278e2c96bc89cdf5cc1793092088.jpg"
      }
    ],
    "jobs": [
      {
        "id": 54083,
        "title": "Senior DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/odeko/jobs/GUGWECd-senior-devops-engineer",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 54087,
        "title": "Senior/Staff Fullstack Engineer - Marketplace",
        "url": "https://www.ycombinator.com/companies/odeko/jobs/7gKd9sh-senior-staff-fullstack-engineer-marketplace",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 54089,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/odeko/jobs/UtpXADM-brand-designer",
        "location": "Remote / Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "B Capital leads Odeko’s $53M Series D to help small coffee shops scale | TechCrunch",
        "url": "https://techcrunch.com/2023/04/18/b-capital-odeko-restaurant-tech/",
        "date": "Apr 18, 2023"
      },
      {
        "title": "How to Recruit a Successful Executive Team at a Small Business",
        "url": "https://www.businessinsider.com/how-to-recruit-retain-build-successful-executive-team-startup-2022-10",
        "date": "Oct 24, 2022"
      },
      {
        "title": "Odeko Closes $12M Series A; Merges With Cloosiv To Form New Mobile-Ordering App – Crunchbase News",
        "url": "https://news.crunchbase.com/news/odeko-closes-12m-series-a-merges-with-cloosiv-to-form-new-mobile-ordering-app/",
        "date": "Jun 29, 2021"
      },
      {
        "title": "How Charlotte Startup Cloosiv Helps Coffee Shops Through COVID-19 Crisis",
        "url": "https://www.americaninno.com/charlotte/profiles-charlotte/how-charlotte-startup-cloosiv-helps-coffee-shops-through-covid-19-crisis/?mc_cid=51242243f7&mc_eid=4f306c4e46",
        "date": "Jun 29, 2021"
      },
      {
        "title": "Pitchdeck That Coffee-Ordering Startup Cloosiv Used to Raise $1 Million in Funding",
        "url": "https://www.businessinsider.com/cloosiv-pitch-deck-seed-capital-y-combinator-cofounder-2019-10",
        "date": "Jun 29, 2021"
      }
    ],
    "launches": []
  },
  {
    "id": 12575,
    "name": "Zeal",
    "slug": "zeal",
    "former_names": [
      "HealthSense IO",
      "Puzzl Group (Formerly HealthSense IO)",
      "Puzzl Group",
      "Puzzl",
      "Zeal (formerly Puzzl)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc757fab649eb099b338e2938bcebc7fd3fa0813.png",
    "website": "https://www.zeal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Modern payroll for modern work",
    "team_size": 45,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1556161445,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2019",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zeal",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/zeal.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/40731414/",
    "x_url": "https://twitter.com/zealapi",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/puzzl",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc757fab649eb099b338e2938bcebc7fd3fa0813.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 303361,
        "full_name": "Pranab Krishnan",
        "title": "Founder",
        "founder_bio": "Hi! I'm Pranab, founder & CTO of Zeal (formerly Puzzl)--YC S19. Our API helps platforms build/embed payroll. If you're interested in learning more about Zeal, please reach out <pranab@zeal.com>.",
        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/pranab-krishnan",
        "x_url": "https://twitter.com/PranabKrishnan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3dbaa42928c03c524ea223f6e8cd933f5ee4354.jpg"
      },
      {
        "user_id": 333719,
        "full_name": "Kirti Shenoy",
        "title": "Founder",
        "founder_bio": "Hi! I'm Kirti, co-founder & CEO of Zeal (YC S19): API-first platform to help companies build payroll products.\n\nIf you're interested in learning more about Zeal, please reach out <kirti@zeal.com>.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kirti-shenoy-9501a8145/",
        "x_url": "https://twitter.com/kirtishenoy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1e500d8c68ee9a0e10ccfd29c4e8a395d95eff7.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Zeal | The modern payroll platform built for modern work",
        "url": "https://www.zeal.com/blog/the-modern-payroll-platform-built-for-modern-work",
        "date": "Oct 11, 2024"
      },
      {
        "title": "Zeal banks $13M to offer employers a ‘build your own’ payroll product infrastructure – TechCrunch",
        "url": "https://techcrunch.com/2021/08/27/zeal-banks-13m-to-offer-employers-a-build-your-own-payroll-product-infrastructure/",
        "date": "Aug 27, 2021"
      }
    ],
    "launches": []
  },
  {
    "id": 12659,
    "name": "Hatchways",
    "slug": "hatchways",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55a1d205a4314f3f88f9fbc01e898edd5701e951.png",
    "website": "http://www.hatchways.io",
    "all_locations": "Toronto, ON, Canada",
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    "one_liner": "We make engineering interviewing look more like real work.",
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        "full_name": "Jaclyn Ling",
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        "founder_bio": "Co-founder of Hatchways. Prev. co-founder of Blynk (acq. by Kik). I focus on product + sales. ",
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      {
        "id": 71240,
        "title": "Hatchways - Making engineering interviewing look more like real work",
        "tagline": "Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design.",
        "body": "**TL;DR:** Easily customize GitHub-based technical assessments, where candidates can complete tasks like reviewing code, submitting a pull request, or improving a system’s design. Hatchways helps you build a state-of-the-art practical interview process that is customized to your role while saving you engineering interview load along the way.\n\n# 👋 The Origin Story\n\nI've shared my personal struggle with traditional interviews on [HackerNews](https://news.ycombinator.com/item?id=20578850) and how I’ve never been great at \"performing\" on the spot.\n\nThis summarizes well what our mission has always been: _“Mainstream hiring processes are biased towards those who went to great schools, had high GPAs, are native-English speaking, have worked at brand name companies, are extroverts and great networkers, etc. But there are so many talented people who don't fit that profile. We're excited to work on ways of hiring that give them a better chance.”_\n\nOver time, we realized the challenge in solving this issue lies in the fact that companies lack incentives to improve their processes unless it saves them money or time.\n\nThus, Hatchways is on a mission to make talent discovery efficient yet fair. By streamlining skill evaluations, we help companies save time while hiring top talent with the right skills for the job, rather than focusing on pedigree, connections, or interview prowess.\n\n# 🤔**The Problem: Inefficient Interviewing**\n\nMany companies struggle with inefficient interviewing— spending too much time while not getting quality signal.\n\nAlthough creating a unique process is time-consuming, mimicking FAANG approaches, which most companies do, leads to inaccurate signal, a lot of wasted engineering hours, and increased competition for the same talent pool.\n\n# 💡**The Solution: Design a Purposeful Interview Experience**\n\nHatchways enables you to develop an effective interview process, ensuring accurate signal capture, time savings for engineers, and a positive candidate experience.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/b44f8b5f-fbf0-4990-a37e-67afc3768fc5)\n\n# 🦄 **How it works:**\n\n* **Adopt Best Practices from Leading Tech Companies, and Tailor to your Needs:** We've distilled best practices from tech leaders at Dropbox, Plaid, and Airtable (e.g., crafting rubrics, enhancing candidate experience, setting pass-through rates) and can easily customize them for your company, role, and specific hiring needs.\n* **Custom Rubrics and Tailored Interview Questions:** Most companies introduce interviewing rubrics too late. This leads to standardization and bias issues, resulting in inconsistent hiring outcomes. We assist in identifying crucial skills and transforming them into a grading rubric to shape the perfect interview question.\n* **Streamline Grading and Optimize Calibration Effortlessly:** With Hatchways, use our automation features to build test cases or utilize our human-assisted reviewers to reduce your engineering review load. Drawing from the best practices of leading technical teams, we establish a starting benchmark and optimize your on-site pass-through rates over time.\n\n![uploaded image](/media/?type=post&id=71240&key=user_uploads/321746/d2286ba9-dc3f-4647-b835-7b4faf858137)\n\n### **Use Cases**\n\nWhat companies use Hatchways for:\n\n* pre-screen technical assessment (i.e. resume replacement)\n* technical phone-screen step (i.e. 60-90 minute live coding replacement)\n* university/intern recruiting (i.e. high-volume vetting)\n\nWho is this for?\n\n* Companies scaling engineering hiring who are aiming to reduce interviewer load\n* Companies aiming to introduce greater standardization in their interview process\n\n# **Asks**\n\n* If you’re an engineer who wants to see companies adopt more effective and fair interviewing practices - share this with them\n* For companies aiming to streamline their interview process while ensuring a fair and enjoyable candidate experience, sign up on our platform [here](https://www.hatchways.io/?utm_source=ycombinator&utm_medium=web&utm_campaign=launch_yc) or reach out directly to me to learn more: [jaclyn@hatchways.io](mailto:jaclyn@hatchways.io)",
        "url": "https://www.ycombinator.com/launches/IX2-hatchways-making-engineering-interviewing-look-more-like-real-work",
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        "created_at": "2023-04-27T17:06:10.064Z"
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    "long_description": "Rutter is the unified API infrastructure powering the next generation of B2B fintech. We help tech-forward companies build seamlessly integrated financial products by connecting to their customers' systems of record, from accounting platforms to e-commerce systems.\r\n\r\nThe financial operations landscape is fragmented across hundreds of platforms (QuickBooks, NetSuite, Shopify, Stripe, etc.). Without Rutter, companies must spend thousands of engineering hours building and maintaining these critical integrations.\r\n\r\nOur Universal API provides the same level of granularity as direct integrations while using a single, consistent schema. This enables our customers to build end-to-end workflows for financial planning, lending, expense management, AP/AR automation, and more, in days, not months.\r\n\r\nLeading fintechs like Mercury, Airwallex, and Orb trust Rutter to power their integrated financial solutions.\r\n\r\nLearn more: https://www.rutter.com/",
    "one_liner": "The Unified API for Business Financial Data",
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    "name": "PlayAbly",
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    "long_description": "PlayAbly turns ignored touchpoints into mini-games that capture attention, drive action, and generate real-time first-party data—across eCommerce, B2B funnels, restaurants, and in-store retail. As attention spans shrink to six seconds, brands can't afford lifeless popups, forms, or landing pages. We replace them with gamified conversion layers—quizzes, swipe games, stackers—that perform like performance marketing.\r\n\r\nAt Unity, our founding team helped personalize gameplay and ads for over 2 billion users. Now, we're bringing that behavioral insight to brand engagement, building a no-code platform where anyone can launch PlayAbly experiences in minutes. Think: instead of a \"Spin to Win,\" a match-3 game that sells your product, segments your audience, and gets 4× the opt-ins.\r\n\r\nWhy now? Retargeting costs are up. Email/SMS open rates are down. And today’s customers are conditioned by the dopamine loops of TikTok and mobile games. Generic funnels can’t compete—but interactive ones can.\r\n\r\nPlayAbly is already driving results:\r\n\r\nClasskick (B2B): 5× ROI, 3× higher email open rates\r\n\r\nSkout Snacks (DTC): 7× ROI, 20% higher AOV, 4× opt-in rates\r\n\r\n89% of previously lost sessions re-engaged through PlayAbly games\r\n\r\nWe monetize on a usage + performance model, enabling fast adoption and deep long-term value. We're building a new category: AI-powered gamification that converts attention into intent, on any surface where customers meet brands.\r\n\r\nhttps://www.playably.ai",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We started PlayAbly because we saw the problem from the inside.John and Angelo met while working at **Unity Technologies**, where we helped scale ads and gameplay personalization to billions of users across mobile games. We saw firsthand how **interactive experiences and behavioral data could drive attention, trust, and action**—all in under six seconds.But outside of games? That magic was missing. We watched friends in **eCommerce and B2B** spend heavily on ads, only to lose users to static websites, generic forms, and boring popups. Every marketing funnel looked the same—and underperformed.We asked: _What if we brought the mechanics of play to commerce, sales, and brand storytelling?_So we built PlayAbly: a gamified engagement layer that turns any passive touchpoint—landing page, QR code, email popup—into a fun, branded, data-rich experience. We didn’t just want to optimize clickthroughs; we wanted to **make customer interaction feel like something people actually wanted to do**.We chose to be founders because we couldn’t unsee the gap—and we knew we had the technical and behavioral playbook to fill it."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**The Problem:**\\Brands spend billions to drive traffic—but lose most of it in the first 6 seconds. Today’s customer experience is passive, generic, and forgettable. Popups are ignored. Forms are abandoned. Retargeting is expensive. And brands don’t know _why_ visitors bounce or _who_ they really are.**Why it matters:**\\Whether it’s eCommerce, B2B, or in-store, **the attention funnel is broken**. Customers are trained by TikTok and games to expect interactivity and dopamine—yet most brand experiences still feel like static brochures. This leads to poor conversion rates, bloated CAC, weak data, and missed revenue. In a post-cookie world, brands need ways to engage and personalize without relying on surveillance or guesswork.**Why we’re working on it:**\\At Unity, we personalized gameplay for 2B+ users. We saw how **interactivity + real-time data** could drive deep engagement and monetization in milliseconds. But when we looked outside of gaming—at Shopify sites, SaaS landing pages, QR flows in restaurants—it was clear: brands had _no tools_ to make those touchpoints dynamic, fun, or behavior-aware.We built PlayAbly to fix that. Because **capturing attention shouldn’t feel like a chore**—and because we believe brand experiences should be just as interactive and addictive as the games people play every day."
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      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision is to replace passive brand touchpoints with **a new standard for interactive, personalized engagement—powered by play.**If we truly succeed, **every ad, popup, QR code, and landing page will become a game—one that captures attention, reveals intent, and feels native to the brand.** Just like TikTok rewired content discovery, PlayAbly will rewire how people experience commerce, lead funnels, and brand storytelling.But that’s just the start. As our experiences spread across eCommerce, B2B, retail, and hospitality, we’re building the foundation for a **first-party engagement network**—a permission-based, gamified layer where brands can acquire, qualify, and retain customers through interactive journeys, not invasive ads.Instead of renting attention from Meta or Google, brands will use PlayAbly to **own the moment of interaction**, gather usable zero-party data, and re-market through personalized games and offers that people actually want to play. And instead of interruptive ads, our long-term vision is to launch a **PlayAbly Ad Network**, where top-performing game experiences can be distributed across partner sites, apps, and displays—with performance economics and behavioral data baked in from the start.Imagine:* A DTC brand acquiring new customers not through banner ads, but through a mini-game embedded in a partner brand’s checkout page.* A restaurant upselling via a playful quiz shown on smart menus or receipts.* A SaaS company qualifying leads with an interactive diagnostic game built into someone else's onboarding flow.**We’re building the infrastructure for the gamified internet—where every touchpoint is playable, personal, and performant.**That’s the world we want to live in. And that’s the world PlayAbly will help create."
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        "full_name": "Michael Birk",
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        "full_name": "John Cheng",
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        "founder_bio": "John Cheng is the Founder and CEO of PlayAbly, a gamification platform transforming how  brands engage and build loyalty with their customers. With a strong foundation in gaming, John co-founded Playnomics, an AI-driven platform designed to predict player behavior. Following its acquisition by Unity Technologies, John joined Unity's executive team to lead Unity Analytics, providing data and machine learning solutions to over 20,000 game developers and reaching more than a billion players",
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      {
        "id": 91780,
        "title": "PlayAbly - the confluence of shopping and entertainment",
        "tagline": "Introducing PlayAbly – Your customer engagement sucks. Try this instead.",
        "body": "Hey YC 👋 We’re John and Angelo — former Unity Technologies ads, analytics, and data leads — and we’re building **PlayAbly**: the AI-powered gamification layer that turns website traffic into high-intent, high-converting journeys. The confluence of shopping and entertainment.  \n\n🧠 At Unity, we personalized gameplay for 2B+ users across thousands of titles. Now we’re bringing that same behavioral insight to B2B brands and ecommerce — where most sites still feel too generic, not an engaging experience\n\n🎯 We saw it firsthand: brands burning cash on top-of-funnel, only to leak it through lifeless landing pages, collection pages, and generic lead forms. So we built PlayAbly — a conversion layer that feels like fun but performs like performance marketing.\n\n🌍 Used by both B2B and DTC:\n\n* **Classkick (B2B tool for teachers)**: to qualify and convert education leads via smart quiz games.\n* **Skout (DTC Kid’s Snacks)**: to increase AOV and conversion rates with fun product discovery\n\n🧨 TL;DR: Replace \"Spin to Win\" with a game your online customer _actually_ wants to play.\n\n---\n\n### **❌ The Problem**\n\nBrands spend on Meta, TikTok, SEO — but don’t _retain_ attention once shoppers land. Today’s customers ignore pop-ups, abandon forms, and bounce from even the best-looking sites. Why?\n\nBecause passive web experiences can’t compete with the dopamine drip of social and mobile gaming. And standard segmentation flows — quizzes, email captures — are too slow, too boring, or too static to convert attention into action.\n\nRetargeting is expensive, email/SMS open rates are tanking, and most stores don’t know who their customers really are.\n\n🕳️ Most marketing funnels are:\n\n* Bland → no interaction, no retention\n* Blind → poor data on why visitors bounce\n* Bloated → costly retargeting with low ROAS\n\n### **✅ Our Solution**\n\n**PlayAbly** creates opportunities for engagement —online, in-store, and everywhere in between.\n\nWe help brands turn passive moments into active engagement—whether that’s on a website, at a retail display, with a QR code at a restaurant, or in a B2B lead funnel. From quizzes to mini-games, our interactive layers boost attention, capture data, and drive action—bridging consumption and entertainment to make every brand moment more memorable and more effective.\n\n**Playable funnels**: Games that _feel native to your brand_ and drive:\n\n* 📈 Higher engagement\n* 💬 Useable first-party data\n* 💸 Measurable revenue lift - conversions up to 3x, 2x more email/SMS opt-ins than the leading popup, recover 89% of lost engagement\n\n🎯 How it works:\n\n* Choose from our library of high-performing game templates (e.g. match-3, swipe, scratch, stack)\n* Customize it to your brand’s look, products, and tone\n* Integrate via Shopify, Klaviyo, Hubspot, or embed directly\n* Launch in minutes — no dev required\n* OR - if you’re looking for a more custom game, let us know what you’re looking for\n\n🧠 Behind the scenes: AI + behavioral data personalize the game, questions, and post-game flow based on real-time signals.\n\n---\n\n### **🚀 Why It Works**\n\nOur games don’t just entertain — they segment, educate, and convert:\n\n* **DTC: Skout Results: 7X ROI, 4X Email Opt-ins, 20% Higher AOV** \n\n  ![uploaded image](/media/?type=post&id=91780&key=user_uploads/330167/3f68a566-f189-489f-b637-08595f1985f3)\n\n* **B2B: Classkick Results: 5X ROI, 3X Email Open Rates** \n\n  ![uploaded image](/media/?type=post&id=91780&key=user_uploads/330167/570759ec-4110-4bd6-bc39-ad002047c964)\n\n\nRetention’s better too: PlayAbly games collect data that actually gets used — building better lists, sequences, and personalization downstream.\n\n---\n\n### **💡 Why We Built It**\n\nAt Unity, we pioneered user-level personalization through gameplay — optimizing ads and UX with real-time behavioral signals. We saw firsthand how play builds trust, surfaces intent, and creates emotional stickiness.\n\nWe asked: what if B2B sales and ecommerce wasn’t just functional, but _fun_?\n\nSo we built PlayAbly:\n\n* To help brands personalize authentically — not creepily\n* To make every site visit feel like a VIP concierge interaction\n* To let brands build relationships, not just retargeting funnels\n\nWe believe AI should act like the best in-store rep: observant, empathetic, memorable — not a template engine.\n\n---\n\n### **🕹️ Want to Try?**\n\nWe’re working with DTC and B2B brands who want:\n\n* Better conversion/retention without more ad spend\n* Higher-quality customer data, captured playfully\n* Personalization built around _actual_ shopper behavior\n\n🕹️ Try a PlayAbly game: \n\n* [Skout Cookie Rush](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1747846715251/game/index.html)\n* [Replacements Matching Game](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1745836341267/game/index.html)\n* [Playfield Dog Days of Winter Advent Calendar](https://advent-calendar.ourplayfield.com/)\n* [PlayAbly Spinner Hunt](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1746022904086/game/index.html)\n* [Harmony 783](https://playably-game-uploads.s3.us-east-1.amazonaws.com/uploads/1747054636675/game/index.html)\n\n\\\n[Book a Demo ](https://calendly.com/john-baotris/playably-demo-kf?)\n\n**Offer: Mention YC and get 20% off your first game** \n\nWhether you're selling skincare, classrooms, or courseware — let’s make it fun, data-rich, and wildly effective.\n\n#ai #ecommerce #gamification #dtc #b2b #retention #personalization #zero_party_data",
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        "id": 92849,
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        "id": 71916,
        "title": "Porter - Turn your AWS account into Heroku",
        "tagline": "Porter brings the magical experience of deploying applications with a few clicks into your own cloud account.",
        "body": "**TLDR -** [Porter](https://porter.run) is a Platform as a Service (PaaS) that runs in your own cloud. It brings the magical experience of deploying your applications with a few clicks into your own cloud account. After a year since we closed down our self-serve flow, we are opening Porter back up for self-serve today.\n\n* [Sign up here](https://dashboard.getporter.dev) and start deploying applications on your own infrastructure that scales with you.\n* [Claim $10,000 in credits](https://gcpjnf9adme.typeform.com/to/lHMQdJYb) if your company is enrolled in YC Startup School. Along with the AWS credits you can claim from Startup School, this deal effectively lets you deploy on a PaaS for free - it’s like using Heroku with your AWS credits!\n\n![uploaded image](/media/?type=post&id=71916&key=user_uploads/323071/cc2f3fac-340f-4f39-9e4d-533f7ab40053)\n\n## **What is Porter?**\n\nHi everyone,\n\nWe are Trevor and Justin from [Porter](https://porter.run/). 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Moving off production applications off a PaaS is time-consuming and difficult, and hosting all of your infrastructure on in-house solutions of a single PaaS vendor comes with the risk of getting locked in.\n\nPorter hits the sweet spot between simplicity and flexibility by allowing startups to deploy into their own cloud infrastructure with the convenience of a PaaS. Get started on Porter just as easily as you would on a traditional PaaS, then customize your infrastructure freely as you grow. Under the hood, Porter runs a Kubernetes cluster with the same kind of architecture that growth-stage companies build out with an army of infra engineers, so you don’t have to worry about outgrowing the infrastructure.\n\n## **Opening back up for self-serve**\n\n**Porter was originally open for self-serve when we first launched.** We onboarded a lot of companies through the self-serve flow in the beginning, but after a few months quickly realized that we didn’t have the resources to properly manage the Kubernetes clusters that are distributed across different cloud accounts at scale.\n\nThis led us to the difficult decision of shutting down our self-serve function and focusing on larger growth-stage companies that warrant the scalability of Kubernetes. 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        "body": "Hey, we’re Ben and Jason! (S11 / W20)\n\nWe’re announcing [**Enveloop**](https://enveloop.com) — a developer-focused **message builder** and **API** that makes it easy to design & send beautiful emails and texts from your app using one simple implementation. And you don’t have to be a designer — we’re focused on making developers look awesome. 🤩\n\n### **📣 Why We Built Enveloop**\n\nDevelopers create apps. Apps need to talk to users. Simple, right? Unfortunately — multiple APIs, maintaining message content, design standards, delivery standards, handling failure/retry -- you have to figure it all out, and, over time, **it all becomes scattered in your code.**\n\n_Worse_ — the content is inaccessible to those that need to edit it because it’s mixed with the design & implementation — buried in your code with all that other complexity. That puts **you** in the middle of any update, big or small. Gross. \n\nWe’ve built a graceful service that solves this. It’s simple for developers, collaborative for consultants and their clients, and ready for fast-moving product & development teams. **It’s Enveloop.**\n\n### **💪 Our Solution**\n\nWith Enveloop, we offer developers:\n\n* A powerful & friendly-to-use message builder.\n* Loads of elegantly-designed templates to get you started quickly.\n* Intuitive formatting built with developers in mind (markdown, mustache, etc.)\n* A single API that supports multiple message types and providers.\n* Easy delegation of message content to others on your team (or to your clients!)\n\nAll this helps to **remove unnecessary code/complexity** from your app and **reduces superficial deployments**. And more is on the way, including support for additional message types and useful message analytics.\n\n![uploaded image](/media/?type=post&id=67598&key=user_uploads/24221/8b766f45-e4c3-4014-ac55-1c5b6cd8d23d)\n\n### **🙏 Our Ask**\n\nWe would love to have you try out **Enveloop**! We’ll automatically upgrade you to our Pro plan for three (3) months at no charge. \n\nAlso, **Share this Post!** Let us know at [founders@enveloop.com](mailto:founders@enveloop.com), and we’ll send a couple of extra goodies your way — just for spreading the word and trying us out!\n\nYou can [sign up for Enveloop](https://app.enveloop.com/auth/new) and get started now!\n\nJason & Ben\n\nFounders, [Enveloop.com](http://Enveloop.com)\\\nW20 / S11",
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        "title": "Handoff H1: a takeoff model that outperforms human estimators",
        "tagline": "Autonomous takeoffs, available today via API",
        "body": "**TL;DR:** H1 reads construction blueprints and produces a complete material takeoff autonomously, from the raw PDF. It scores 81.6% on our benchmark — ahead of human estimators (77.6%) and \\~20 points clear of the best frontier model. It runs in \\~2 hours vs. up to a week for a human.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/ccaeb6b3-ba3f-4330-acd0-8e8ff779cca2)\n\n\n**The problem**\n\nBefore a contractor can bid a job, someone has to do a takeoff: read every sheet, count materials trade by trade, measure walls and roofs, cross-reference dimensions that live on different pages. It takes an experienced estimator 8–20 hours per project and years of training to do at all. It's the tax on every bid in a huge, fragmented industry.\n\nYou'd think a frontier model could do this now. It can't. Foundation models today aren't capable of understanding construction drawings to a level that is actually useful for a construction business. So this massive $2 trillion industry still runs on blueprints that are being analyzed by humans pretty much the same way they have been for the last few hundred years.\n\n**What we built**\n\nHandoff has developed H1: an AI model that understands and analyzes blueprints better than a human estimator, thus resolving this manual bottleneck once and for all.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/e3a9fd8f-cdf2-48f1-b4d6-9e30aa807ec5)\n\nH1 has three layers:\n\n* **Scope analysis** — a detailed, trade-by-trade breakdown of what the project actually involves, read straight from the drawings.\n* **Takeoff with quantities** — a complete material quantity list per trade: framing members, sheets, linear and square footage, counts, all with units.\n* **Localized construction costs** — accurate pricing on those quantities, localized to your ZIP code.\n\nAll of it programmatic and autonomous. No human needs to be involved in the process of creating the entire takeoff. You can simply upload plans and get structured scope, quantities, and costed output back.\n\n**The benchmark (TakeoffBench-V1)**\n\nAs part of this, we are also releasing the industry's first takeoff benchmark that enables us and anybody else in the research community to compare models against 15 real, permissioned, PII-stripped residential blueprint sets, each paired with a consensus-validated expert takeoff.\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/b4f0b802-c841-403e-8867-5b1ac2e9fcb2)\n\n![uploaded image](/media/?type=post&id=106241&key=user_uploads/428748/abdfeb2b-4ed7-4764-bc47-a6305f6d8ff9)\n\nHere's how we performed on the benchmark:\n\n* Handoff-H1: 81.6%\n* human estimator (with takeoff software): 77.6%\n* best frontier model (Claude Fable): 61.4%\n\nThe rest cluster in the low-to-mid 50s (gpt-5.6, Claude, Kimi) down to 34.7% (DeepSeek-V4-Pro).\n\n**Try it**\n\nH1 is live in the [Handoff](https://handoff.ai) product and on the API. We have one of the world's largest suppliers already using our model in every one of their locations across the country, including thousands of projects every month.\n\nIf you're looking for an intelligence layer to extract detailed structured data from blueprints with construction costs priced out to the nearest cent, hit us up at [api@handoff.ai](mailto:api@handoff.ai)",
        "url": "https://www.ycombinator.com/launches/RdZ-handoff-h1-a-takeoff-model-that-outperforms-human-estimators",
        "votes": 7,
        "created_at": "2026-07-22T20:04:49.600Z"
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        "title": "Handoff - AI Agent for Residential Contractors",
        "tagline": "Handoff makes you more money, saves time, and runs your residential contracting business with AI.",
        "body": "### **The Problem**\n\nThere are 1.2M+ residential contractors (remodelers, home builders, etc.) in the US. They are severely understaffed and overworked:\n\n* 40% of their time goes to paperwork instead of building.\n* They rely on pen & paper or outdated software.\n* The US needs 4.7 million new homes (and contractors need to keep up with that demand).\n\nhttps://www.youtube.com/watch?v=jd85wN1hhBo\n\n### **The Solution: Handoff AI Agent**\n\nHandoff is the AI agent that helps owners of residential construction businesses automate their back office with AI.\n\nHere are some of the things Handoff can do:\n\n* Generate accurate construction estimates from short project descriptions and files (blueprints, photos, videos).\n* Automatically create material shopping lists (with links to purchase).\n* Send invoices, accept payments, and issue consumer loans.\n* Build project schedules, subcontractor bid invites, daily logs, and more.\n\nHandoff takes on the roles of:\n\n1. Cost estimator\n2. Project coordinator\n3. Admin assistant\n\nThis reduces the operational burden of scaling a construction business by $500k+/year, at a price point of just $149/month.\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/c2abd311-42d3-4f56-aed6-87253717f18e)\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/69f03428-53c5-4f46-9def-875366b532d9)\n\n### **The Secret Sauce**\n\nHow did we build Handoff? In short, we became obsessed with creating the world’s most accurate API for construction costs and a knowledge base of construction logic.\n\nWe work directly with top suppliers like Home Depot and Lowe’s to integrate their catalogs into Handoff, giving our customers real-time pricing and inventory.\n\nWe’ve also trained Handoff on 10,000+ construction cost estimates we completed by hand while running a manual cost estimating service in our early days.\n\n![uploaded image](/media/?type=post&id=93974&key=user_uploads/428748/9349123e-4a79-47c3-a7b6-7cb7d0575a47)\n\n### **Send This to Your Contractor**\n\nAre you getting some remodeling work done?\n\nGet a free account on [Handoff](https://handoff.ai/) and generate an estimate for your project. Share it with remodelers bidding on your job and ask them to explain any cost variance versus Handoff’s numbers.\n\nYou might be able to save yourself some money and help us generate more leads!",
        "url": "https://www.ycombinator.com/launches/ORi-handoff-ai-agent-for-residential-contractors",
        "votes": 14,
        "created_at": "2025-09-19T20:14:46.930Z"
      },
      {
        "id": 70854,
        "title": "🏗️ 1build - Plaid for construction cost data",
        "tagline": "Track live pricing on 68M datapoints for construction materials, labor, and equipment in the US.",
        "body": "**TL;DR: 1build is launching the API for construction pricing data. Developers can use our API to access up-to-date information on construction costs for workflows like construction estimating, procurement, and loan/insurance underwriting. The API can be either queried with GraphQL or easily integrated into any application with one line of HTML.**\n\n﻿📚﻿ **Backstory**\n\nAs wild as it sounds, the construction industry still uses actual books that are published once a year to track construction market pricing. I previously ran the data science team at CloudKitchens where I needed an API for tracking live construction pricing data--but instead of an API I had to deal with these cost books.\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/24e83b10-e8f3-4b04-b043-a050c01c2eb1/image.png)\n\n﻿📊﻿ **Problem**\n\nConstruction costs have been extremely volatile over the last several years. For example, lumber prices skyrocketed 400% and then crashed in 2021. At the same time, the construction tech space is booming ($5B+ is invested annually), but it still lacks its own \"Plaid\" for mission-critical market pricing data.\n\n﻿🛠️﻿ **Our solution**\n\n1build has an easy-to-use API as well as a JavaScript embed widget that gives you access to live pricing data on 68 million construction materials, labor, and equipment anywhere in the US.\n\n﻿🚀﻿ **How it works**\n\nYou can either use our GraphQL API ([docs](https://developer.1build.com/1build-api-reference)) or JavaScript embed widget ([docs](https://developer.1build.com/1build-widget-reference/)) to integrate construction pricing data into your application. Sign up [here](https://app2.1build.com/public/register?signupType=SOFTWARE_DEVELOPER) to get your API key.\n\nHere are just some of the use cases for our data:\n\n* Your contractor sent you an estimate and you want to validate their quote vs market rates.\n* You're serving bank underwriters who need to check whether their client's construction loan application has an accurate budget.\n* You're working with insurance brokers who need to approve a quote for home repairs.\n\n![uploaded image](/media/?type=post&id=70854&key=user_uploads/428748/7736013a-63ee-4a2c-ae3e-72873fb8f515)\n\n**Features**\n\n﻿⚫﻿ Search or browse our catalog of 68 million construction items and assemblies localized to your project. Include labor to get all-in installation costs.\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/d8aac21a-8be8-46b3-813c-1b71484d5362/image.png)\n\n﻿⚫﻿ Add this line of HTML in your app to embed our construction pricing catalog:\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/31a4f86e-5567-4937-926c-452f8f6274aa/image.png)\n\n﻿⚫﻿ Or query our API with GraphQL:\n\n![](https://t4207102.p.clickup-attachments.com/t4207102/5c1a6e76-3c97-4ed2-ae2d-2273f8357b79/image.png)\n\n﻿👷 ﻿**Asks**\n\nTry [1build](http://1build.com) now! [Get your API keys](https://app2.1build.com/public/register?signupType=SOFTWARE_DEVELOPER) or [contact us](https://meetings.hubspot.com/dmitry-alexin/30-min) to embed live construction data into your application or ML model.\n\nWe are hoping to discover new use cases and applications for our data, so don't hesitate to reach if you want to bounce around a few ideas.\n\nWe are also looking for feedback on the API / JS widget's ease of use, so let us know about your experience with our docs/integration.",
        "url": "https://www.ycombinator.com/launches/IQo-1build-plaid-for-construction-cost-data",
        "votes": 24,
        "created_at": "2023-04-10T19:14:40.977Z"
      }
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    "id": 13148,
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      "Tidbits",
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      "SuperPortal"
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    "website": "https://www.cadencework.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "",
    "one_liner": "Delightful team-building events for remote companies",
    "team_size": 2,
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    "subindustry": "B2B -> Human Resources",
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    "url": "https://www.ycombinator.com/companies/cadence",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/cadence.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cadence-work",
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        "founder_bio": "ericjpark.com",
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    "long_description": "Basedash is the AI-native Business Intelligence platform. Create dashboards and instantly understand your customers using natural language. Connect 500+ data sources, ask a question, and let Basedash visualize the answer.",
    "one_liner": "The AI-native business intelligence platform",
    "team_size": 6,
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    "launched_at": 1596147758,
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    "url": "https://www.ycombinator.com/companies/basedash",
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    "year_founded": 2020,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/basedash",
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      "name": "Gustaf Alstromer",
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        "full_name": "Max Musing",
        "title": "Founder",
        "founder_bio": "Founder & CEO of Basedash.",
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    "id": 13161,
    "name": "Clayboard",
    "slug": "clayboard",
    "former_names": [
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      "Slingshow",
      "Clayboard",
      "Pathspace"
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    "all_locations": "New York City, NY, USA; New York, NY, USA; Remote",
    "long_description": "",
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    "team_size": 4,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/clayboard.json",
    "year_founded": 2020,
    "city": "New York City",
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        "full_name": "Jorge Fuentes",
        "title": "Founder",
        "founder_bio": "YC Badge: 0x2f0d643602a0a1cf421f674206f9e8d6fe666a1f\n",
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        "user_id": 206328,
        "full_name": "Nilay Modi",
        "title": "Founder",
        "founder_bio": "Product & design",
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        "linkedin_url": "https://linkedin.com/in/thenilaymodi",
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      {
        "id": 65449,
        "title": "🧠 Pathspace: Collaborative brainstorming. Supercharged with A.I.",
        "tagline": "Solve problems together effectively with design thinking best practices—no learning curve.",
        "body": "Hey! Super thrilled to share Pathspace with all of you!\n\nPathspace is the easiest and most effective way to solve problems together using design thinking best practices and the power of GPT-3.\n\n**TL;DR Solve problems together for free at** [**pathspace.com**](http://pathspace.com)**. No learning curve. No signup required.** \n\n![](https://uploads-ssl.webflow.com/62d313720e07abf87ece7618/62df4aaf229ef36da3537997_Step%202.png)\n\n—\n\n### **❌ The Problem**\n\nThere’s been an enormous shift towards remote work, which is excellent for flexibility and accessing global talent but not so great for collaborative creativity & brainstorming.\n\nMost group brainstorming involves a few people throwing out ideas. Then, a team leader guesses consensus and prioritizes. **This typical brainstorming process is far from ideal and has the following flaws:**\n\n1. **Single-threaded** - With only one person talking at a time, there is a single train of thought, and many good ideas are left unsaid and unexplored\n2. **Groupthink** - The desire for quick decisions and group cohesion can make bad decisions seemingly unanimous\n3. **Controlled by Leaders and Extroverts** - The loudest team members or those with the most authority can drown out the opinions of the more introverted and junior team members.\n4. **Self-censorship** - Fear of judgment and social anxiety can cause some members to withhold crazier ideas.\n5. **Poor engagement** - Doing nothing and waiting for the meeting to end passively is easy, especially remotely.\n\n—\n\n### **✅ The Solution**\n\nWe created a brainstorming tool for remote teams with built-in design thinking best practices from expert facilitators.\n\nIt’s a quick, customizable step-by-step process to unleash your team's creativity and prioritize.\n\n**Pathspace is easier to use than a “digital whiteboard” and more robust than a doc:**\n\n1. **Structured and intuitive** - Rather than a single generic interface like a doc or whiteboard, each step in the process has a unique user interface.\n2. **AI suggestions** - Leverage the power of GPT-3 to generate more out-of-the-box ideas.\n3. **Anonymous (no groupthink)** - Discover the best ideas and reach a democratic consensus with anonymous ideas and voting.\n4. **Organized and exportable** - Instead of scattered stickies that are hard to parse, we automatically keep everything organized so you can easily understand results and export them.\n5. **Customizable** - Create and customize Pathspace to your process by mixing and matching different tactics.\n\n![](https://uploads-ssl.webflow.com/62d313720e07abf87ece7618/62df4aafd1d3f877f7a7d04d_Step%205.png)\n\n—\n\n### **Brainstorm for free. No signup required.**\n\nIf you’re reading this, most likely you’re a founder. Here are some prompts we recommend brainstorming with your team and wish we had done earlier :)\n\n1. [Who is our ideal customer/persona?](https://app.pathspace.com/create?prompt=Who%20is%20our%20ideal%20customer/persona?)\n2. [How might we validate our product?](https://app.pathspace.com/create?prompt=How%20might%20we%20validate%20our%20product?)\n3. [How might we improve retention?](https://app.pathspace.com/create?prompt=How%20might%20we%20improve%20retention?)\n4. [How might we get more leads/signups?](https://app.pathspace.com/create?prompt=How%20might%20we%20get%20more%20leads/signups?)\n5. [What features should we build next?](https://app.pathspace.com/create?prompt=What%20features%20should%20we%20build%20next?)\n\nClicking on the prompts above will take you straight into Pathspace.\n\n**You can learn more & use it for free at** [**pathspace.com**](http://pathspace.com)**.**",
        "url": "https://www.ycombinator.com/launches/H1d-pathspace-collaborative-brainstorming-supercharged-with-a-i",
        "votes": 18,
        "created_at": "2022-08-17T22:31:25.270Z"
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    "name": "Edlyft",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1583987145,
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        "user_id": 339570,
        "full_name": "Erika Hairston",
        "title": "Founder",
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        "full_name": "Arnelle Ansong",
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        "title": "Edlyft Takes Aim At The $100 Million...",
        "url": "https://www.forbes.com/sites/korihale/2022/06/23/edlyft-takes-aim-at-the-100-million-diversity-and-inclusion-tech-market/?sh=12e0d0237f86",
        "date": "Jun 23, 2022"
      },
      {
        "title": "Female-Led EdTech Startup Edlyft Raises $1.4 Million Seed Round, Aims To Close The Gender Gap In STEM",
        "url": "https://www.forbes.com/sites/marijabutkovic/2020/10/28/female-led-edtech-startup-edlyft-raises-14-million-seed-round-aims-to-close-the-gender-gap-in-stem/?sh=66a307461cc3",
        "date": "Oct 28, 2020"
      },
      {
        "title": "The Youngest Black Women to Raise More Than $1M in VC Funding",
        "url": "https://www.businessinsider.com/youngest-black-women-cofounders-raise-million-funding-venture-capital-investors-2020-10",
        "date": "Oct 28, 2020"
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        "id": 92167,
        "title": "Modernbanc - The first AI financial assistant for business owners",
        "tagline": "Get an answer, dashboard or a projection to your business finance question in seconds.",
        "body": "**Introducing Modernbanc - the first of its kind AI financial assistant for business owners.**\n\nPowered by real-time banking and accounting data, it one-shots answers to business owner’s questions in a spreadsheet interface.\n\nBest thing? Those answers never get out of date.\n\nhttps://www.youtube.com/watch?v=ZEIy3R0IFHY\n\n### PROBLEM\n\nMost business owners need simple answers fast, yet they can’t afford to hire a fractional CFO or a finance person.\n\nAt the same time - traditional and inflexible reports from Quickbooks just don’t cut it.\n\n### Enter modernbanc. It can:\n\n* Build real-time financial dashboards, e.g revenue/profitability by category.\n* Create projections, e.g “Can I hire this person?”\n* Custom budget/goal trackers that measure against real-time spend.\n\nNo expensive finance people. No finance degree required.\n\nAlready helping 100+ founders run their business smart.\n\n**Our ask: it’s available to try today, give it a go at [modernbanc.com](http://modernbanc.com) and let us know what you think!**\n\n![uploaded image](/media/?type=post&id=92167&key=user_uploads/354461/b68f917e-051b-4237-a691-9be457da635e)\n\n",
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        "id": 87098,
        "title": "Modernbanc - fast and modern alternative to Quickbooks",
        "tagline": "Modern accounting software for startups.",
        "body": "**TL;DR** [Modernbanc](https://modernbanc.com?source=yc) is a fast and modern alternative to Quickbooks that helps you automate busy work, become tax-ready and know the numbers you actually care about.\n\n* **Automate busy work.** With AI-powered actions and transaction categorization we give you back time every day.\n* **Become tax-ready.** Your or your accountant can easily export the exact data you need for seamless tax filing. If you don’t have an accountant we’ll find you one!\n* **Know your business financials.** Built-in spreadsheet interface to track real-time ARR, Burn, Runway or other custom financial reports.\n\n<https://www.youtube.com/watch?v=Fm75qtaw-W0>\n\n# **Problem:**\n\n**As a founder yourself you rarely get any value out of Quickbooks.** You set it up, leave it to your accountant and never open the app again.\n\nIt’s slow and unusable - so when it comes to managing your business finances you spend money on budgeting and reporting software just so you don’t have to open Quickbooks.\n\nAs a founder who had a similar experience I knew we had to build something better.\n\n# \n\n# **Meet Modernbanc - fast and modern alternative to Quickbooks.**\n\nModernbanc is the new standard for accounting software that’s enjoyable and is designed for the way you think:\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/f11b941c-6b72-4e0e-acb1-245e2cf3b1b2)\n\n## **⚡️ It’s fast**\n\nInspired by Linear, Modernbanc opens instantly and works without internet so your business financials are always one click away! Don’t believe me? [**Watch this demo**](https://x.com/GregGevorkyan/status/1874585636352795119) 👈\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/9b317d37-6269-4ec9-a2c2-7c86ba38545b)\n\n## **⌛️ Smart actions to save you time**\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/4e80b3f9-88a7-44f2-8576-29d29b9d79df)\n\nModernbanc learns how your business works and suggests smart actions to automate busy work. Simply press **Enter ↵** or **Backspace ⌫** to accept or reject an action.\n\n## \n\n## **📊 Budgeting, forecasting or reporting - all in one place**\n\n![uploaded image](/media/?type=post&id=87098&key=user_uploads/354461/d4814a75-6684-4ddc-abb7-5bb52c985a4b)\n\nModernbanc has **a built-in spreadsheet** that’s directly connected to your bank accounts and business finances. Build views you actually care about, not just the standard financials.\n\n# **Get started today:**\n\nBook a time with us [here](https://calendly.com/d/cqqj-8zz-b5v/modernbanc-intro), during the call we’ll be able to answer any questions you might have and determine if we’re a right fit for your company.\\\n\\\n_At the moment we’re only able to onboard US-based startups._",
        "url": "https://www.ycombinator.com/launches/Meo-modernbanc-fast-and-modern-alternative-to-quickbooks",
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        "id": 84421,
        "title": "Modernbanc - Real-time finance platform for startups",
        "tagline": "✨ Gain confidence into your business finances. Build real-time ARR/Burn and profitability reports in seconds.",
        "body": "**Modernbanc combines features from both Excel and Quickbooks to give founders the best way to track their business finances.**\n\n* Say goodbye to imports/exports and outdated reports.\n* Build ARR, Burn, or Runway trackers with live financial data in seconds.\n* Drill down and identify unneeded spend.\n\n[Book a call with us if monitoring live financial metrics is top of your mind.](https://modernbanc.com/?source=yclaunch)\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/07567780-ae7d-441b-9535-43b2bdb5e2ce)\n\n## **Problem**\n\nLet’s be honest - no one likes opening Quickbooks, yet it’s the place where your core financial data lives. This creates a disconnect between founders and their key financial metrics, leading to overspend, lack of confidence, and missed goals.\n\nTo get the answers you need, you’d typically export that data into a spreadsheet and then run some calculations.\n\nHowever, the problem is that historically, your accounting software and spreadsheet have always been disconnected, relying on clunky extensions and periodic CSV dumps. This leads to broken, outdated spreadsheets and wasted time cleaning and managing data.\n\n**Why do we still put up with this? We had to come up with a better solution.**\n\n## Meet Modernbanc: If Quickbooks and Excel had a baby.\n\nNo more clunky sheets extensions or periodic CSV dumps. With Modernbanc you just connect your bank accounts and accounting software and point directly to live balances and transactions within a spreadsheet interface. It just works.\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/e6929f86-d479-4bde-800c-2c2982d15612)\n\n![uploaded image](/media/?type=post&id=84421&key=user_uploads/354461/2e8a798e-acd2-4cd7-9834-9548fcd9c8e3)\n\n**Modernbanc offers the best of both worlds:**\n\n* **Built like a spreadsheet.** Ready to handle any free-form calculations, works offline, and has instant interactions.\n* **Powered by an integrated ledger**, ensuring your data is always up-to-date and reliable.\n\n**We care about quality and craft.** Inspired by Linear, our product is powered by our internal sync engine for that snappy, offline-first experience and WebGL canvas for ultra-fast rendering and instant calculations.\n\n### **What you can do:**\n\n* **Make plans and projections based on real-time accounts and balances.**\n* **Drill down and identify unneeded spend, break down live transactions into categories**\n* **Look up historical balances (e.g., “What was the balance of my account a month ago?”).**\n* **Maintain a full hierarchy of your accounts, revenue, and spend.**\n* **Track inventory and ensure nothing goes unaccounted.**\n\n### **What data sources do you support?**\n\nWhile Modernbanc has an accounting system that you can store data in, you can connect the following data sources to stream data to Modernbanc:\n\n* Your bank accounts\n* Ledger data from Quickbooks\n* Any custom source (You can create your own data sources within our UI).\n\n### **Who is it for?**\n\n* **Startups** looking to do expense reviews, building live Runway/Burn/Profitability trackers in minutes that don’t involve import/export and never need updating.\n* **Finance teams at medium/large** companies that waste countless working hours on broken spreadsheets when putting together reports.\n* Physical product startups who want to track inventory or other assets but find Quickbooks too limited.\n\n### **Deal:**\n\n* White-glove onboarding (we’ll build your financial views)\n* Data migration.\n* 2 months free for the first 10 clients that sign up through this launch.\n\n### **NEXT STEPS?**\n\n* Book a demo with us [**here,**](https://modernbanc.com/?source=yclaunch) and we’ll get you set up right away!\n* Follow us on [Linkedin](https://www.linkedin.com/company/modernbanc), [Twitt](https://x.com/modernbanc)[er](https://www.linkedin.com/company/modernbanc) and spread the word.\n\nYou can also reach us at [gregory@modernbanc.com](mailto:gregory@modernbanc.com) and [daniel@modernbanc.com](mailto:daniel@modernbanc.com). We’d love to help out if we can!",
        "url": "https://www.ycombinator.com/launches/Lxd-modernbanc-real-time-finance-platform-for-startups",
        "votes": 16,
        "created_at": "2024-10-01T14:53:35.154Z"
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      {
        "id": 76120,
        "title": "Modernbanc Vault - Compliant encryption API for developers",
        "tagline": "🔒 Collect, encrypt, process and send your secret and sensitive data in 5 minutes. ",
        "body": "**TLDR**\n\n> We ([Modernbanc](http://modernbanc.com/)) just launched our [**Encryption Vault API**](https://modernbanc.com/vault) for developers. It allows you to securely collect, encrypt, process, and send sensitive data and achieve PCI/HIPAA or other compliance. Integrate multiple card payments processors and build unique journeys. Book a [demo](https://calendly.com/greg5/30) to learn more.\n\n![uploaded image](/media/?type=post&id=76120&key=user_uploads/354461/29acd05e-1c67-4ed4-8303-9bfd8dd42bc1)\n\n### **Problem:**\n\nAs companies we’re all busy building something customers want - sometimes it means working with and securing sensitive/secret data which can be a huge time and resource drain and derail your roadmap.\n\nSometimes a security or compliance breach can even kill your company!\n\n### **Do you:**\n\n* Work with card numbers and are worried about becoming subject to PCI compliance?\n* Need to store and protect customer data?\n* Need to solve a hard encryption/security issue?\n\nIf the answer to any of these is yes then we can help you!\n\n### **Introducing Encryption Vault.**\n\n[**Modernbanc Vault**](https://modernbanc.com/vault) helps you securely collect, store, process and send sensitive data and achieve compliance.\n\nYou can get started in 5 minutes and do the following:\n\n* Collect and encrypt data into the vault via our API proxy or by embedding our native SDKs.\n* Process it by deploying custom code onto Modernbanc Isolates - bullet-proof and secure environments.\n* Send this data to any API or a database.\n\nIt’s like wearing gloves - you have full control and can touch and manipulate your data with 0 exposure to your app or servers - it is magical!\n\n### **Use-cases:**\n\nYou can use it to solve any security/encryption roadblocks but these use-cases would be most familiar:\n\n* **Card/payments data:**\n  * Working with card numbers or exposing it to your app/server puts you at risk of becoming subject to PCI compliance.\n  * With Modernbanc you can delegate most of your PCI scope to us and launch your product in minutes!\n  * Compliantly build custom payments journeys including a smart-checkout or payment orchestration.\n* **Customer and credentials data:**\n  * Show your customers and partners that you’re serious about their security by collecting and processing their data in bullet-proof encrypted environments.\n* **Health data:**\n  * Tick-off the PHI data collection, encryption and processing requirements for HIPPA.\n\n### **OFFER:**\n\nWe offer exceptional support, consultation sessions and a 1-year 30% discount to first 10 companies that sign up through here (mention ‘YC Launch’ in the link below) **with unlimited encrypt and decrypt operations.**\n\n### **NEXT STEPS?**\n\n* Book a demo with us [**here**](https://calendly.com/greg5/20) and we’ll get you set up right away!\n* Follow us on [Linkedin](https://www.linkedin.com/company/modernbanc), [Twitter](https://x.com/modernbanc) and spread the word.",
        "url": "https://www.ycombinator.com/launches/Jnk-modernbanc-vault-compliant-encryption-api-for-developers",
        "votes": 13,
        "created_at": "2023-11-09T19:10:09.068Z"
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        "answer": "We pivoted 5 times, got into YC, pivoted a month into the batch, then shipped PostHog as we got so frustrated re-implementing analytics every single time we pivoted.\\\\It was a wild success on Hacker News and we’ve not looked back."
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        "body": "👋 Hey YC!\n\nSarah here — I’m a co-founder at Stable, and we provide companies with a business address and virtual mailbox so they can manage their mail online. \n\nToday we’re thrilled to share that we’ve launched in Texas and Florida (+ with a special deal)! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/eccd3582-fed8-444e-aed8-ab2015d0a242)\n\n**📬 About Stable** \n\nWe launched Stable in the middle of the pandemic when companies were shutting down offices and going fully remote but still needed a physical address to use with the government, IRS, banks, and other vendors.\n\nBut after working with more than 1400 companies like Jeeves, Indiegogo, and Airbyte, we’ve realized that no one likes managing physical mail – whether they’re remote or working out of an office. \n\nSo in addition to helping companies open, view, forward and shred mail online, we’ve built features that save companies dozens of hours every month – from startups that just need a business address to incorporate to growth stage businesses processing 1000s of pieces of mail a month. \n\nHere’s what we’ve launched recently.\n\n* Search across all mail by sender, receiver, or anything on the envelope\n* Auto-scan received mail & auto-deposit checks\n* Get notified when mail is assigned to you or your department\n* Auto-route mail to the right department\n* Control mail access with roles and permissions\n\nNow, we're excited to be able to help even more companies by launching Stable in two highly-requested locations – Texas and Florida! \n\n![uploaded image](/media/?type=post&id=71235&key=user_uploads/89898/c7760542-7fa2-4df6-9c09-9ee48e418428)\n\n💰 **Special Deal**\n\nGet a $25 monthly discount ($300 annual) when you sign up for an address in Texas or Florida with the code “texas” or “florida”.\n\nYou can get your address set up in less than 3 minutes [here](https://dashboard.usestable.com/onboard/begin?utm_source=bookface&utm_medium=post&utm_campaign=fl-tx-launch).  \n\nIf you’d like to learn more or have questions, leave a comment, check out our website, or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com).",
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        "body": "Hi all 👋!\n\nWe're Sarah & Collin, the founders of [Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) and today we’re excited to announce our new address in Dover, Delaware!      \n\n&nbsp;\n\n### **📬 What is Stable?**\n\n[Stable](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch) is a virtual address and mailbox for business — companies like Robinhood, Lugg, and Indiegogo use Stable to maintain their business address, digitize their mailbox, and manage their company from anywhere in the world.\n\nWe work with 100s of YC startups and as part of our DE launch, we're offering $300 off of any plan (or $25 / month) for the first year. Get started [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware) (more info below). \n\n**Why businesses use Stable:**\n\n🏢 A permanent business address to use with the IRS, government entities, banks, etc\n\n📨 Open, view, forward, and shred your mail securely without physically entering a mailroom\n\n📍 Guidance on compliantly switching your address for taxes, registrations, payroll + more\n\n⚡ Integrations with the tools you love to use (Slack, Drive, etc)\n\n💻 Modern platform with automations, encrypted file storage, optical character recognition, and more\n\nWe make establishing a permanent US business address easy, so you can manage your business from anywhere and never have to worry about changing addresses again.      \n\n&nbsp;\n\n### **🏇Why Delaware?**\n\nSince we’ve launched Stable, we’ve had the opportunity to:\n\n\\- Work with 1000s of businesses across the globe\n\n\\- Process tens of thousands of pieces of mail + packages\n\n\\- Deposit millions of dollars in checks\n\n\\- Launch a Registered Agent service in all 50 states\n\nTo date, we haven’t had a great solution for Delaware businesses that want an address where they are incorporated — whether that be because they are completely distributed, based entirely overseas, or something else. Launching in Delaware changes this and allows us to service almost every venture backed startup :).\n\n&nbsp;\n\n### **💰 Special DE Deal**\n\n\\- Use the referral code “Delaware” to get $25 off / month ($300 annually) for your first year  \n\n\\- Valid for any new DE customer — redeem [here](https://dashboard.usestable.com/onboard/begin?promoCode=delaware)  \n\n\\- Must sign up by July 31, 2022\n\n\\\nIf you’d like to learn more or have questions, leave a comment, check out [our website](https://www.usestable.com/?utm_source=launch-yc&utm_medium=post&utm_campaign=de-launch), or shoot us an email at [hello@useStable.com](mailto:hello@useStable.com) 💌",
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        "id": 115079,
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        "title": "Senior ERP Solutions Consultant ",
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      {
        "id": 115081,
        "title": "Technical Solutions Consultant - AUS",
        "url": "https://www.ycombinator.com/companies/zip/jobs/W4aJyjT-technical-solutions-consultant-aus",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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      {
        "id": 115082,
        "title": "Senior Software Engineer, Developer Platform",
        "url": "https://www.ycombinator.com/companies/zip/jobs/TpHIETh-senior-software-engineer-developer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "5+ years",
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      {
        "id": 115084,
        "title": "Solution Integrations Architect - Oracle ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/xFs4S2T-solution-integrations-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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        "id": 115085,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/He4tCmj-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115086,
        "title": "Solutions Integration Architect - SAP",
        "url": "https://www.ycombinator.com/companies/zip/jobs/sucnx2Y-solutions-integration-architect-sap",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115087,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kGrxxcy-software-engineer-core-infrastructure-mid-senior-level",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115088,
        "title": "Enterprise Architect",
        "url": "https://www.ycombinator.com/companies/zip/jobs/lxQWpuQ-enterprise-architect",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115089,
        "title": "Principal Product Manager, AI",
        "url": "https://www.ycombinator.com/companies/zip/jobs/SIgnRMD-principal-product-manager-ai",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115091,
        "title": "Solution Architect - Oracle",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kUWHhwd-solution-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115092,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/1p1RcKw-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115095,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Bljjhn6-marketing-development-representative",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115096,
        "title": "Senior Solutions Consultant - Project Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/LRJJVpx-senior-solutions-consultant-project-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115097,
        "title": "VP, Namer Strategic Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/68oxhZO-vp-namer-strategic-sales",
        "location": "New York City / Remote - Jacksonville / Remote - Washington DC / Remote - Philadelphia / Remote - Charlotte / Remote - Atlanta / Remote - Boston",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115099,
        "title": "Senior Product Designer, Global Payments",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gDwTlH3-senior-product-designer-global-payments",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115100,
        "title": "Head of Business Data",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gWrQrPH-head-of-business-data",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115101,
        "title": "Solutions Director",
        "url": "https://www.ycombinator.com/companies/zip/jobs/4iosHNt-solutions-director",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115102,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/DsIVEpP-marketing-development-representative",
        "location": "Australia",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115103,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HnfwJWS-enterprise-account-executive",
        "location": "Remote - Dallas / Remote - Houston / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115104,
        "title": "Enterprise Account Executive - Southeast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/pJJIQ8J-enterprise-account-executive-southeast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115105,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/7HtuIE9-business-development-representative",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115106,
        "title": "Strategic Account Executive - East Coast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ZYrR4KA-strategic-account-executive-east-coast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115107,
        "title": "Strategic Account Executive - Central ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0BWbEjm-strategic-account-executive-central",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115108,
        "title": "Demo Engineer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/nVAcZNt-demo-engineer",
        "location": "London",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115109,
        "title": "Solutions Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/2GkIrhz-solutions-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115110,
        "title": "Head of InfoSec and IT Ops",
        "url": "https://www.ycombinator.com/companies/zip/jobs/NGkJXpk-head-of-infosec-and-it-ops",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115111,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7RI5RT-commercial-account-manager",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115112,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7sT1Sn-commercial-account-manager",
        "location": "New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115114,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ksVqB9T-commercial-account-executive",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115115,
        "title": "Senior ERP Solutions Consultant",
        "url": "https://www.ycombinator.com/companies/zip/jobs/g8iBcLV-senior-erp-solutions-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115116,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/dzNMSq1-business-development-representative",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115117,
        "title": "Senior / Principal Product Manager, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/wDewwx3-senior-principal-product-manager-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115118,
        "title": "Product Operations Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0phqQHm-product-operations-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115119,
        "title": "GTM Strategy & Operations Manager, Pre-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/P6v20iH-gtm-strategy-operations-manager-pre-sales",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115120,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cVgyFYe-gtm-strategy-operations-manager-post-sales",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115121,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/VZS1TSn-enterprise-account-executive",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115122,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/H5uMWy6-gtm-strategy-operations-manager-post-sales",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115123,
        "title": "Recruiting Coordinator",
        "url": "https://www.ycombinator.com/companies/zip/jobs/85yboNY-recruiting-coordinator",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115124,
        "title": "Staff Product Designer, AI Agents & Chat",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ckPFvc9-staff-product-designer-ai-agents-chat",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115125,
        "title": "Product Designer, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/rA6SA53-product-designer-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115126,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/RcE6ynZ-senior-product-designer",
        "location": "New York City",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115127,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HYFxx6Q-senior-product-designer",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115128,
        "title": "Lead Product Marketing Manager, Compete",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Uo0Vz3M-lead-product-marketing-manager-compete",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115129,
        "title": "Principal Business Value Consultant",
        "url": "https://www.ycombinator.com/companies/zip/jobs/oamNuH2-principal-business-value-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115130,
        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ZvI2hYJ-account-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115131,
        "title": "Software Engineer, Forward Deployed (Mid - Senior Level)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kY2Jqru-software-engineer-forward-deployed-mid-senior-level",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115133,
        "title": "Strategic Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/l2wWsQB-strategic-account-executive",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115134,
        "title": "Senior Commercial Sales Manager, Account Executive/Account Management",
        "url": "https://www.ycombinator.com/companies/zip/jobs/BXTlhjF-senior-commercial-sales-manager-account-executive-account-management",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115135,
        "title": "Director of EMEA Field Marketing",
        "url": "https://www.ycombinator.com/companies/zip/jobs/MBsFV0Y-director-of-emea-field-marketing",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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    "city": "New York City",
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    "name": "CoreCare",
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    "industry": "Healthcare",
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        "full_name": "Dennis Antonelos",
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        "linkedin_url": "https://www.linkedin.com/in/antonelos1/",
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        "linkedin_url": "https://www.linkedin.com/in/mehrdad-shafaie-7904503b/",
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        "url": "https://finance.yahoo.com/news/corecare-launches-corecare-admit-first-130000253.html",
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    "id": 21885,
    "name": "Swif.ai",
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    "long_description": "Swif.ai is the Unified Agent & Endpoint Management (UAEM)\r\n\r\nManage every device. Govern every AI agent.\r\n\r\nOne control plane for device management, AI-agent governance, continuous enforcement, and autonomous remediation.",
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    "industry": "B2B",
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        "answer": "We have 10 people on the team. I was the co-founder of LeadIQ, the leading sales intelligence platform. I managed a fast-growing team of 50 remote employees and onboarded everyone while creating a platform that handled millions of dollars every year. Mert is the CTO and he has over 10 years of experience building device security. Mert and I have both experienced issues of device security and Mert has been building a similar solution for the past 5 years. Jeremy is our sales. He was a former YC founder and recently joined us to drive our sales. He used to host virtual YC demo days."
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      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Our batch mentor guided us on product iteration and helped us with pitch practices. We genuinely appreciate Tim, Aaron, and Kevin’s mentorship to help us grow!"
      },
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        "answer": "We worked with many YC companies to help with their device management and compliance needs. We also launched our own YC deal to help new YC batch companies can quickly ramp up their remote device management."
      },
      {
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        "answer": "In 2022, we discovered the power of ChatGPT and realized that we can leverage its platform to simplify device management and remote employee management. This was the pivot point of our product."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Swif is revolutionizing device security with AI,  we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Revolutionizing device security with AI, we are the first to eliminate the Shadow IT problem—empowering businesses with complete control, visibility, and security."
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/swifai",
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        "full_name": "Angelo (KC) Huang",
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        "title": "Frontend Engineer (Vue, Browser Extensions, AI Agent)",
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          "React",
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        "title": "Backend Engineer (Golang)",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/bAPaF28-backend-engineer-golang",
        "location": "TW / US / CA / SG / ID / VN / MY / TR / Remote (TW; US; CA; SG; ID; VN; MY; TR)",
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        "role": "Engineering",
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        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "Distributed Systems"
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      },
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        "title": "Software Testing Engineer (QA)",
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        "location": "TW / VN / Remote (TW; VN)",
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        "role": "Engineering",
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        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
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        "skills": [
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      },
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        "id": 55966,
        "title": "Full-Cycle Sales AE",
        "url": "https://www.ycombinator.com/companies/swif-ai/jobs/9H1KM0B-full-cycle-sales-ae",
        "location": "Sunnyvale, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$30K - $60K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
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        "title": "Sales Intern [Summer 2026]",
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        "title": "Full Stack Software Engineer Intern [Summer 2026]",
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        "location": "US / TW / Remote (US; TW)",
        "type": "Internship",
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        "title": "Sales Development Representative (SDR)",
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        "title": "What's New: TrustClaw Consumer Onboarding",
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        "url": "https://feedback.swif.ai/changelog/trustclaw-enterprise-onboarding",
        "date": "Jun 23, 2026"
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      {
        "title": "Founder Note: Swif.ai Statement on Stryker's Microsoft Intune MDM Attacks Wiping 200,000 devices",
        "url": "https://news.swif.ai/p/founder-note-swif-statement-on-the-stryker-intune-attacks-wiping-200-000-devices",
        "date": "Mar 22, 2026"
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        "title": "Swif.ai Is Now Live in the EU 🇪🇺 — EU Data Residency Is Here",
        "url": "https://news.swif.ai/p/swif-ai-is-now-live-in-the-eu-eu-data-residency-is-here",
        "date": "Mar 16, 2026"
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      {
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        "url": "https://www.swif.ai/blog/stryker-wipe-lessons-about-mdm-blast-radius-protection",
        "date": "Mar 13, 2026"
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      {
        "id": 84069,
        "title": "Swif: Solve Shadow IT with our Chrome extension",
        "tagline": "Gain full control over Shadow IT—track, secure, and manage unauthorized apps with ease using Swif's Chrome Extension.",
        "body": "![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/554bc23e-0c52-44e5-b8e5-d956361fc467)\n\nHey, YC community! We’re the team at [Swif](https://www.swif.ai?utm_source=yclaunch), and we're excited to introduce our **Swif Chrome Extension**, designed to solve the growing issue of Shadow IT in organizations. As businesses scale, it's easy for employees to start using unauthorized SaaS apps, creating security and compliance risks that IT teams struggle to monitor.\n\n**What’s the problem?** Shadow IT refers to apps and services used by employees without IT’s knowledge or approval. This often leads to unmonitored data access, increasing the risk of breaches, non-compliance, and lost productivity. Even well-managed IT teams find it hard to track all software being used across departments.\n\n**How does Swif’s Chrome Extension fix this?** Our Chrome Extension helps you automatically identify and monitor employee access to unauthorized SaaS apps. With **real-time visibility**, Swif detects email and password sign-ups to unapproved apps, enabling IT teams to track usage, ensure compliance, and take action quickly—before a security risk escalates. The extension fits seamlessly into your existing IT workflow, providing a single dashboard for comprehensive oversight.\n\nSwif’s strength lies in its automation. Instead of manually hunting down unapproved apps, our extension monitors usage, generates compliance reports, and offers automated solutions for securing access. This gives you control without adding complexity, saving both time and resources.\n\n![uploaded image](/media/?type=post&id=84069&key=user_uploads/28055/13b44543-ebbc-4d61-ad14-5dd5150a1dd1)\n\n**Why did we build it?** The idea came from our experience working with companies overwhelmed by Shadow IT problems. We saw firsthand how much of a challenge it is to maintain visibility over what employees are using, especially in remote and hybrid work environments. Our mission was to create a tool that does the heavy lifting for IT departments, making it easier to manage without sacrificing security or efficiency.\n\n**What’s next?** We’re excited to offer early access to the Swif Chrome Extension! If you’re managing a fleet of devices or overseeing IT security, sign up to be among the first to try our solution and take control of Shadow IT.\n\n**Call to Action**: Ready to tackle Shadow IT? [Create a Swif account](https://app.swif.ai/chromeextension?utm_source=yclaunch), download the extension, and start managing your apps with ease!",
        "url": "https://www.ycombinator.com/launches/Lrx-swif-solve-shadow-it-with-our-chrome-extension",
        "votes": 6,
        "created_at": "2024-09-17T02:14:17.061Z"
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      {
        "id": 70930,
        "title": "Swif.ai - Compliance-First Device Security",
        "tagline": "The YC's Get Start Package for MDM & Compliance Automation",
        "body": "### **⛔️The problem**\n\n1. Fragmented device management across multiple operating systems and locations.\n2. Time-consuming manual compliance checks and reporting for various regulatory standards.\n3. Inefficient onboarding and offboarding processes for remote and global teams.\n4. Lack of visibility into shadow IT and unauthorized SaaS application usage.\n\n### **🚀The solution**\n\n[Swif.ai](http://Swif.ai) offers a comprehensive solution for device security, compliance management, and IT administration across Linux, Windows, and macOS. It automates patch management for various compliance frameworks, provides real-time compliance status reports, and enables remote device control. Swif's all-in-one platform integrates with HR systems, simplifying employee onboarding and offboarding processes while offering cost-effective access management compared to traditional SSO solutions.\n\n**Customer Benefits**\n\n1. Unified visibility and control over all organizational devices, regardless of operating system or location.\n2. Significant time savings through automated compliance readiness checks and real-time reporting.\n3. Enhanced security posture with the ability to instantly lock or wipe compromised devices remotely.\n4. Reduced IT overhead by consolidating device management, access control, and compliance tools into a single platform.\n\n### **🛠️How it works**\n\nThe setup is extremely easy. Here is 1 min get started video.\n\n![uploaded image](/media/?type=post&id=70930&key=user_uploads/28055/12d9aeea-cdbe-4734-a6d9-441a31135956)\n\n### **✅Our asks**\n\n* Check out our [**website**](https://www.swif.ai) – play around with our **interactive demo**\n* [**Sign up**](https://app.swif.ai/) and use Swif — it’s free.\n* [**Reach out**](https://www.swif.ai/) if you’re interested in a live demo",
        "url": "https://www.ycombinator.com/launches/IS2-swif-ai-compliance-first-device-security",
        "votes": 17,
        "created_at": "2023-04-13T00:24:25.556Z"
      },
      {
        "id": 66625,
        "title": "Swif - One-stop device management and security",
        "tagline": "Order, equip, manage your devices for your distributed teams",
        "body": "Hello, everyone! This is [Angelo](https://www.linkedin.com/in/angelokh/) here to introduce [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch)!\n\n❌ **The Problem**\n\nIn my last startup LeadIQ, I managed 2 remote teams in the US and Singapore. It was really painful to manage devices and cloud app access for employees in different locations. We wanted a better understanding of company devices and employee’s cloud app access, and we used a giant Excel sheet to solve this problem, only to find that the solution can not scale. We took time to find solutions to set up, configure, and then discover that the capabilities of each solution were incomplete or buggy. Companies were wasting money and time. The challenges were real, painful and increased company risks. Employee onboarding and offboarding were a nightmare.\n\n✨ **Our Solution**\n\nSwif helps distributed teams manage their devices, purchase new ones, and retrieve them when employees leave the company. \n\n![uploaded image](/media/?type=post&id=66625&key=user_uploads/28055/4b87f21a-cf0d-4381-b7ba-286c4c293b40)\n\nWhy do we need a new solution for device management?\n\nYou might work in California but have team members distributed in Texas, New York, Paris, and Singapore. Things like these might occur to you:\n\n1. Sending, retrieving, and storing devices for remote teams is painful. \n2. Losing data for security risks could keep you up at night.\n3. Employee data is across multiple platforms, eg. Gusto and Deel, and have no audit trails of who owns which devices.\n\n👉 **Next steps**\n\n1. Sign up for [Swif](https://www.swif.ai?utm_source=yc&utm_medium=launch&utm_campaign=yc_launch) and subscribe with promo code ‘ycdeal’ to enjoy one-year free premium features.\n2. Import your employees from your HRIS. We currently support 30 HRIS connections!\n3. Follow the Quick Start to set up your system to enroll devices and link us to your Apple business manager.\n\nWant to start taking control of your remote fleet? \n\nVisit us at <https://www.swif.ai> or reach out to us at [support@swif.ai](https://mailto:support@swif.ai).",
        "url": "https://www.ycombinator.com/launches/HKb-swif-one-stop-device-management-and-security",
        "votes": 32,
        "created_at": "2022-10-11T17:09:59.715Z"
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    "website": "https://addomni.com",
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    "long_description": "Omni is an intelligent chrome extension to help teams manage their internal knowledge and keep it 100% up to date. It fits in the natural workflow, integrates with current knowledge sources, and provides bite-sized answers when needed.",
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    "country": "US",
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        "full_name": "Akshay Ramaswamy",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akshay-ramaswamy-7189559a/",
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        "user_id": 486880,
        "full_name": "Andrew Chang",
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        "founder_bio": "CTO @ Omni\n-----\nCurrently on leave from Stanford, M.S. Computer Science, Concentration in A.I. / Systems \nStanford '19 - B.S. Computer Science, Concentration in A.I.\n-----\nI love playing violin, soccer, and some lesser known sports -- spikeball, foosball, and bowling make my list. I'm also an avid diver and have been to the Great Barrier Reef in Australia and Sipadan in Malaysia!",
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        "linkedin_url": "https://www.linkedin.com/in/andrew-chang-22a3a7110/",
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        "full_name": "Chetan Rane",
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        "founder_bio": "Chief Product Officer",
        "is_active": true,
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    "name": "Workbase",
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    "long_description": "We help B2B companies reduce churn and grow customer spending. \r\nOur product gives account managers access to data dashboards and priority checklists needed to proactively save customers and upsell them to more profitable products.\r\n\r\nMost companies have all the data they need to figure this out, but it’s often locked away in 20 different systems. There is no central place for an account manager to easily prioritize which customers to focus on and what actions to take to help them. Workbase is the solution, by one-click integrating the data sources and customizing the interface and actions for each company.\r\n\r\nWhen working on similar internal tools at companies like Segment, we saw first-hand that proactively managing the customer journey could increase net retained revenue by as much as 20 percent.\r\n",
    "one_liner": "Data & workflow platform for B2B account teams",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1599762607,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
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    "status": "Acquired",
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      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/workbase",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/workbase.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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        "user_id": 487260,
        "full_name": "John Tan",
        "title": "Founder",
        "founder_bio": "John is Co-Founder and CEO of Workbase. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/johnztan/",
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      {
        "user_id": 487918,
        "full_name": "Ed Parsons",
        "title": "Founder",
        "founder_bio": "I'm a technical founder that has been building things with computers since I was 12. I'm currently building a new way for business to create the software they need inside their go to market teams at Workbase, come ask me about it.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/efparsons/",
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        "title": "Hightouch, The Data Activation Platform, Acquires Workflow Automation Startup Workbase",
        "url": "https://www.forbes.com/sites/frederickdaso/2022/04/19/hightouch-the-data-activation-platform-acquires-workflow-automation-startup-workbase",
        "date": "Apr 19, 2022"
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    "name": "webapp.io",
    "slug": "webapp-io",
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    "website": "https://webapp.io",
    "all_locations": "Toronto, ON, Canada; Remote",
    "long_description": "Webapp.io's custom hypervisor makes webapp CI/CD, E2E testing, and preview environments as simple as writing a Dockerfile.\r\n\r\nIf your team is building a webapp + using github/gitlab/bitbucket, please reach out!",
    "one_liner": "Build webapps faster with 10x better CI/CD + preview envs",
    "team_size": 4,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1597858027,
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        "full_name": "Colin Chartier",
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        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/colinchartier/",
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        "user_id": 484938,
        "full_name": "Lyn Chen",
        "title": "Founder",
        "founder_bio": "Prev. Dev Tools Founder (acquired), now doing human flourishing projects across emerging adulthood (18-25) and K-12. \n\n\n\n",
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        "linkedin_url": "https://www.linkedin.com/in/lynchen/",
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      {
        "id": 64193,
        "title": "𝙒𝙚𝙗𝙖𝙥𝙥.𝙞𝙤 - Instant per-branch VMs for E2E tests & ephemeral environments",
        "tagline": "Webapp.io is often 10x faster than creating full-stack environments in a regular CI like Github Actions",
        "body": "![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/589b9712-0cb1-49cd-9bf5-e059435f1451)\n\nHey! We’re Colin & Lyn from [webapp.io](http://webapp.io).\n\nWe’re helping webapp developers make new copies of their stack in seconds using memory snapshots. You can think of a cloud-agnostic, full-stack version of the branch deployments you’d get from Vercel, Netlify, Heroku, or Render - even if you’re using a regular cloud provider instead of a PaaS.\n\n[Webapp.io](http://Webapp.io) lets you create full-stack environments for every pull request in seconds. We’ve built a custom hypervisor that watches which files are used in which build steps, and skips repetitive actions like starting microservices, seeding databases, or building images.\n\nIt came out of our own frustrations from having to often skip end-to-end testing for commits just for the sake of developer velocity. A typo fix on a landing page shouldn’t take 15+ minutes to spin up a fresh environment for some Cypress tests!\n\n![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/abdf8553-ec80-4b7a-9582-62e95d43cbc7)\n\n[Webapp.io](http://Webapp.io) works with any Linux-based stack, and the configuration works like a Dockerfile for VMs so that you can get started without having to talk to support.\n\n![uploaded image](/media/?type=post&id=64193&key=user_uploads/364633/4e3f5b2c-3215-41ef-851d-5e46a72727d7)\n\nOnce you’ve installed our app on your GitHub, GitLab, or BitBucket profile, you can push files called Layerfile in the syntax above, and we’ll automatically discover them and build your environments.\n\n[Webapp.io](http://Webapp.io) builds new VMs by re-using memory snapshots of your earlier builds. That means you can get a fresh copy of your database, microservices, and backend in seconds for a frontend change 10x faster than a production cloud provider or traditional CI.\n\nOur free tier is generous and we’re happy to set up a shared slack channel to help prospective users get set up. [Try out the product here!](https://webapp.io/sign-up?utm_src=launchyc) or [read the docs](https://webapp.io/docs/?utm_src=launchyc).",
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    "year_founded": 2018,
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    "linkedin_url": "https://www.linkedin.com/company/marketforcehq",
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      {
        "user_id": 415905,
        "full_name": "Mesongo Sibuti",
        "title": "Founder",
        "founder_bio": "A Forward-thinking Techprenuer and Software Architect specializing in the design, development, and scaling of technology-enabled platforms with a special interest in the field of B2B Services, Last Mile Distribution, and Data Science.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mesongo",
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        "user_id": 278427,
        "full_name": "Tesh Mbaabu",
        "title": "Founder",
        "founder_bio": "Tesh is a creative and strategic thinker from both a product and commercial perspective; experienced in business process automation and building startups in the African scene, where I focus on business development, growth and partnerships. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/teshmbaabu",
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        "title": "MarketForce raises $40 million Series A, introduces BNPL merchant stock financing – TechCrunch",
        "url": "https://techcrunch.com/2022/02/21/marketforce-raises-40-million-series-a-introduces-bnpl-merchant-stock-financing/",
        "date": "Feb 21, 2022"
      },
      {
        "title": "MarketForce partners with Cellulant to expand in five new markets across Africa as it races to cover continent – TechCrunch",
        "url": "https://techcrunch.com/2021/12/05/marketforce-partners-with-cellulant-to-expand-in-five-new-markets-across-africa-as-it-races-to-cover-continent/?tpcc=tcplustwitter",
        "date": "Dec 05, 2021"
      },
      {
        "title": "Kenya’s MarketForce raises $2M, plans to focus on its B2B retail marketplace RejaReja – TechCrunch",
        "url": "https://techcrunch.com/2021/07/08/kenyas-marketforce-raises-2m-plans-to-focus-on-its-b2b-retail-marketplace-rejareja/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAB-aq1_SIDxxgEbS3t58vwGDSZ3BuFTYBmtWkysdllPffnmsYFWJIcwM4bIfbkTfCe7Dhrbj6kBH2DPOxP7Lv_MHRL4vwOmeV1mNx-9FcIbxvLDuI8duW0VjQwWwD_GmiNfx-pkvFq6GuNsfOWRgU3NXFjJb2RXk5trR_Ak6P6l1",
        "date": "Jul 08, 2021"
      },
      {
        "title": "Kenya’s MarketForce 360 Bags US$350,000 Seed Round Led by ViKtoria Ventures (VBAN) - Founder360°",
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        "date": "Jun 29, 2021"
      },
      {
        "title": "Kenya’s MarketForce acquires Digiduka to consolidate distribution of consumer goods with digital financial services - Disrupt Africa",
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        "full_name": "Miguel Medina",
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        "full_name": "Angel Arias",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aeduardoac/",
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        "user_id": 486383,
        "full_name": "Antonio Martinez Quintero",
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        "date": "Feb 20, 2023"
      },
      {
        "title": "Mexico’s Plerk Lands $12M Investment Led By SoftBank Spinoff Upload Ventures",
        "url": "https://www.bloomberglinea.com/english/mexicos-plerk-lands-12m-investment-led-by-softbank-spinoff-upload-ventures/",
        "date": "Aug 29, 2022"
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    "id": 21997,
    "name": "Clew",
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    "website": "https://clew.ai/",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Clew lets employees see and organize files across their work apps from one place. ",
    "one_liner": "Unified file system for the cloud. ",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1599762606,
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/clew",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/clew.json",
    "year_founded": 2019,
    "city": "Toronto",
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        "user_id": 141774,
        "full_name": "Udara Jayawardena",
        "title": "Founder",
        "founder_bio": "udara.io",
        "is_active": true,
        "linkedin_url": "https://lk.linkedin.com/in/udarajay",
        "x_url": "https://twitter.com/tgupj",
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      {
        "user_id": 231668,
        "full_name": "Haish Sucharda",
        "title": "Founder",
        "founder_bio": "Co-founder @ Clew",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/haishsucharda/",
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    "id": 21998,
    "name": "WareIQ",
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    "website": "https://www.wareiq.com/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "We are building an on-demand Fulfillment network and all software tools in a central platform which is required for an Etailer to manage their eCommerce Fulfillment operations.\r\n\r\nEtailers connect all their stores to our platform and send us their inventory. Whenever an order is placed on any of the channels, our Decision Engine allocates order to the nearest Warehouse holding the inventory, and right courier partner to pick & deliver to the end customer.",
    "one_liner": "Amazon-prime like logistics for eCommerce companies in India",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1598367138,
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      "South Asia",
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    "city": "Bengaluru",
    "country": "IN",
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      "name": "Aaron Epstein",
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      {
        "user_id": 355823,
        "full_name": "Harsh Vaidya",
        "title": "Founder",
        "founder_bio": "Founder & CEO of WareIQ, building on-demand fulfillment infrastructure allowing brands to offer Amazon-Prime like shipping.\n\nHarsh comes with 8+ years of experience working in Corporate Strategy & Market expansion roles for large tech. In his previous role, he looked into Product Strategy & Operations for Pitney Bowes, a global tech company offering solutions for small businesses and global eCommerce.\n\nBachelors in Engineering from NIT, Harsh started his career with Capillary Technologies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harshmv/",
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      {
        "user_id": 490022,
        "full_name": "Aayush Mattoo",
        "title": "Founder",
        "founder_bio": "Young entrepreneur with a deep interest in the supply chain dynamics. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aayushmattoo/",
        "x_url": "https://twitter.com/MattooAayush?s=09",
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      {
        "id": 71128,
        "title": "Inventory LogIQ: AI-enabled inventory planning for multi-channel consumer brands",
        "tagline": "A planning copilot that surfaces SKU level insights to prevent stock-outs and reduce excess inventory",
        "body": "<https://inventorylogiq.com/>\n\n**PROBLEM**\n\nModern consumer brands that are not able to utilize their inventory well due to uncertainties of multi-channel demand and procurement lead times are at the verge of bankruptcy:\n\n1. **Excess inventory eating into bottom-line** due to high holding cost\n2. **Revenue losses due to Frequent stock-outs** caused by uncertainties in demand, and procurement lead times\n3. Unoptimized placement of inventory leading to **slow shipping speed, and high last-mile costs**\n\n**SOLUTION**\n\n[Inventory LogIQ](https://inventorylogiq.com/) uses AI to dynamically segment SKUs to determine their right placement location, and factors in uncertainties of demand and procurement to automate:\n\n* **Liquidation Plan:** Quickly identify slow-selling items that contribute to inventory bloat, resulting in high inventory holding costs and inflated operational expenses. By optimizing the inventory levels of these items, our tool helps brands reduce excess inventory and increase profitability\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/669cdd4c-e33a-4f9b-812f-9fd4905dc055)\n\n* **Replenishment Plan:** Our tool proactively identifies fast-selling items at risk of stock-outs, preventing lost sales opportunities and ensuring a seamless customer experience\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/be07f00a-5c7f-4574-8685-814d6913663f)\n\n* **Network Optimization Plan:** Our solution enables brands to strategically store the right products at the right locations, in the right quantities. By aligning inventory with demand centers and customers' geographical locations, our tool minimizes shipping timeframes and costs, leading to improved customer satisfaction and loyalty.\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/5b24109c-e603-4e8a-8b1d-bb6b1db7ec5a)\n\n\n**DEMO**\n\n[InventoryLogIQ demo](https://www.youtube.com/watch?v=iRJUbrn9LLQ)\n\n**WHY US**\n\n* Team led by Supply Chain & Data Science experts from companies like **Pitney Bowes, Walmart & Delhivery** with experience of managing $20 BN+ annual GMV\n* Model trained on 500+ brands across verticals and market segments\n* Integration support across all major ERPs, D2C stack, Accounting softwares\n\n**ASKS**\n\n* If you are interested or have any feedback to share, please write to me at [harsh@wareiq.com](mailto:harsh@wareiq.com)\n* I would appreciate introduction to any ecommerce/retail brand looking to solve their excess inventory/stock-out issues",
        "url": "https://www.ycombinator.com/launches/IVE-inventory-logiq-ai-enabled-inventory-planning-for-multi-channel-consumer-brands",
        "votes": 82,
        "created_at": "2023-04-22T12:21:07.118Z"
      }
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    "id": 22002,
    "name": "BIK",
    "slug": "bik",
    "former_names": [
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    "website": "https://bik.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "A place where you can spin off commerce agents or build your automation across the funnel of acquisition, retention & support. \r\n\r\nThe single place where you can handle everything you need for your ecommerce / retail business when it comes to marketing & support.",
    "one_liner": "Agentic AI CRM for ecommerce",
    "team_size": 55,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1599762606,
    "tags": [
      "SaaS",
      "B2B",
      "E-commerce",
      "AI",
      "AI Assistant"
    ],
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    "batch": "Summer 2020",
    "status": "Active",
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      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bik",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/bik.json",
    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bikglobal/",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/bikglobal",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ebdc405c3ca51343a4618334a44bd440fb598ca.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 341432,
        "full_name": "Sonakshi Nathani",
        "title": "Founder",
        "founder_bio": "Customer is King & Heart for Design.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sonakshi-nathani-473abb41/",
        "x_url": "https://twitter.com/SonakshiNathani",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/237141c37eceab1459c9dbb5c0669da785603454.jpg"
      },
      {
        "user_id": 273257,
        "full_name": "ASHUTOSH SINGLA",
        "title": "Founder",
        "founder_bio": "Passionate about programming and solving problems with the use of technology. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ashu1461/",
        "x_url": "https://twitter.com/theratdr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a44aed27bf48fc77e5748782a53506582228c6b6.jpg"
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    ],
    "jobs": [
      {
        "id": 88152,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/bik/jobs/MewNUmm-founding-account-executive",
        "location": "New York, NY, US / US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$75K - $150K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "YC Backed B2B Startup Bikayi Raises $10.8 Mn Led By Sequoia Capital India",
        "url": "https://inc42.com/buzz/yc-backed-b2b-startup-bikayi-raises-10-8-mn-led-by-sequoia-capital-india/",
        "date": "Sep 02, 2021"
      }
    ],
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      {
        "id": 94820,
        "title": "Bik.ai: World’s First AI Commerce Agents Marketplace",
        "tagline": "Today, we’re launching the world’s first AI Commerce Agents Marketplace - built for every eCommerce brand that’s tired of stacking 20+ eCommerce plugins.",
        "body": "![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/0db1a090-c5b5-453d-8732-d1b4142ae1d2)\n\n**TL;DR** eCommerce Brands, → its time to say good bye to Shopify plugins. :)\n\ninstead of investing heavily on multiple tools and plugins to handle your acquisition, support, retention, can now just spin off **AI commerce agents** for their Brand.\\\n\\\nNo need to onboard 20+ tools or hire 5 new people to scale your eComm Brand.\\\n\\\nNo tools. No humans.\n\n### Problem & the Solution.\n\n**Example** : Trouble with **refunds** because of size issue? \\\n**Solution** : Enable **Size Guide AI** agent to help your shoppers from our marketplace.\n\n**Example** : Struggling to handle inbounds from Influencers on Insta DM?\\\n**Solution** : Build an **Influencer shortlisting DM agent** using our Agent studio builder\n\n**Drum rolls 🥁.**\n\nHere is a sneak peak of how it looks :\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/9473b2ad-3c69-4da3-9699-78284c1a23ff)\n\nhttps://www.youtube.com/watch?v=PF4TnsHh2nI\n\n### How to works?\n\nThe crazy part? → Its amazingly easy to set it up.\n\nJust type in your prompt for :\n\n1. **Goal** → **(Reduce support load, increase revenue by xx%)**\n2. **Instructions**\n3. **Success criteria**\n\nGet realtime updates on the Agent’s performance: 👇🏼\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/6c9edeb5-28b7-4f19-b93d-842e68882d8a)\n\nYou don’t need to train AI at multiple places, because BIK.ai takes care of everything when it comes to marketing & support for eCommerce Brands.\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/d6e63f5c-48ee-43f6-a21b-490a013532d5)\n\n**Train it once.**\n\n**Deploy it everywhere** (email, text, Instagram, messenger, whatsapp) or on website.\n\n**Relax for a lifetime.**\n\n### Ask:\n\nGive it a shot if not already, you can onboard us\n\n✅ No contracts\\\n✅ No onboarding cost\\\n✅ Begin with 1 agent — scale as you grow\\\n✅ Setup: 100% white-glove service — my team trains your AI and takes it live\n\nCheck it out here - https://getmanifest.ai/ai-commerce-agents\n\nWrite me at [sonakshi@bik.ai](mailto:sonakshi@bik.ai) if you would like to take your 1st step towards future today.",
        "url": "https://www.ycombinator.com/launches/OfM-bik-ai-world-s-first-ai-commerce-agents-marketplace",
        "votes": 89,
        "created_at": "2025-10-22T17:11:46.471Z"
      },
      {
        "id": 81809,
        "title": "⭐️ 💖 Manifest AI - Introducing AI Shopping Pages",
        "tagline": "Manifest AI helps brand deploy AI shopping assistants. Today, we're launching AI shopping pages.",
        "body": "TL;DR eCommerce Brands, instead of getting their visitors to their static storefronts, can now how have a dedicated landing page with an AI shopping experience— trained on their eCommerce store + Sales data.\n\n—\n\nHey Fam, we're Sonakshi and Ashutosh, and we're founders of [Manifest AI](https://getmanifest.ai) (it’s a product by [BIK](https://bik.ai)). We're on a mission to re-imagine how eCommerce is done today using Generative AI.\n\n**❓The Problem**\\\n96% of online visitors drop off after visiting a Brand’s website because of multiple reasons, such as not getting what they wanted or not knowing where and how to find what they want.\n\n**⭐️ Solution**\n\n[Manifest AI](https://getmanifest.ai)’s shopping page allows brands to have a fully personalised AI shopping experience for each visitor where they can ask what they want, for example, “I have a date night, pls suggest something in black?” Manifest AI enables product recommendation, engagement & purchase depending upon the intent of the visitor.\n\n**⚙️ How it works**\n\nAs soon as you sign up for [Manifest AI](https://getmanifest.ai), the LLMs gets trained on your eCommerce store & sales data, and generates an AI shopping page, the page can have different URLs depending upon the ads campaign making the AI shopping page to give a very personalised experience to each user. It takes care of search, product recommendation, and support on your storefront. It acts like a human sales agent on your eCommerce website.\n\n👉🏼 Watch the full video [here](https://www.youtube.com/watch?v=K4K_uE0RkQI)\n\n**💙 Manifest AI is contributing to real sales**\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/647489df-7448-48a0-a5b1-9123db34bf0d)\n\n**👉** You also get the Training quality score of your AI on the Manifest Dashboard.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/80378219-9406-4ab5-acf8-cdb66f063c1f)\n\n👉 You can set up different URLs & experiences for your ads campaign.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/bb32fc2d-fac8-46cf-9a18-ea4a162ad4ba)\n\nAI also has the capability to generate real-time quizzes based on intent, keeping the visitors engaged.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/afd9ca35-ec7f-44bc-bbe1-a94f7fb0dcc8)\n\n**🙏 Asks**\n\nIf you have any eCommerce brands in your network, request them to try [Manifest AI](https://getmanifest.ai)!\n\nFollow us on [Linkedin](https://www.linkedin.com/company/getmanifestai) 😊\n\nIf you have 30 minutes to chat about Manifest AI, please book a time with me [here](https://bit.ly/4cluvJH) or [DM me here](https://www.linkedin.com/in/sonakshi-nathani-473abb41/)",
        "url": "https://www.ycombinator.com/launches/LHV-manifest-ai-introducing-ai-shopping-pages",
        "votes": 208,
        "created_at": "2024-06-27T20:59:36.368Z"
      }
    ]
  },
  {
    "id": 22021,
    "name": "Mailwarm",
    "slug": "mailwarm",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28e9d8c1afc2f855ecd63f4a8547074fb4563efd.png",
    "website": "https://www.mailwarm.com",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
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        "full_name": "Amine Benjelloun",
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      {
        "id": 101509,
        "title": "mailX by mailwarm - Instant deliverability diagnostics for AI agents & humans.",
        "tagline": "mailX tells you why emails go to spam and how to fix it, via web, API, and MCP.",
        "body": "Hey YC\n\nI’m [Amine](https://www.linkedin.com/in/bengeekly/), CTO of Mailwarm (YC S20) and today we’re launching [mailX](https://themailx.com).\\\n[Thami](https://www.linkedin.com/in/thami-benjelloun/) is the CEO, [Othman](https://www.linkedin.com/in/othmankatim/) is our Head of deliverability and we are ready to help you with all your email deliverability problems.\n\nWe’ve been working on email deliverability since 2020. Mailwarm started as an email warmup tool and became [#1 Product of the Day](https://www.producthunt.com/products/mailwarm) on Product Hunt. Since then, we’ve helped thousands of teams improve sender reputation and inbox placement.\n\nToday, we’re building a broader email deliverability ecosystem:\n\n* **Mailwarm** helps teams build sender reputation through real inbox interactions.\n* **mailX** helps humans and AI agents diagnose deliverability issues.\n* **MailAdept** helps companies fix and monitor deliverability continuously with AI agents and human experts.\n\nToday we’re launching [mailX](https://themailx.com).\n\n![uploaded image](/media/?type=post&id=101509&key=user_uploads/422675/836ee2bb-f82d-4b97-9c90-c77c6d0d62f0)\n\n---\n\n## TL;DR\n\n**mailX tells you why your emails go to spam and how to fix it.**\\\nYou can run a deliverability check from the web, use it through a JSON API, or plug it directly into AI agents through MCP.\n\nNo signup.\\\nNo API key.\\\nFree to use.\n\nTry it here: [**https://themailx.com**](https://themailx.com)\\\nMCP endpoint: [**https://themailx.com/mcp**](https://themailx.com/mcp)\n\n---\n\nYou can also book a call with one of our email deliverability expert [HERE](https://calendly.com/mailwarmsessions/mailx).\n\n## 🚨 The Problem\n\nEmail deliverability is technical, your marketing team can’t handle it.\n\nEmail is still one of the most important growth channels for startups.\n\nFounders use it for cold outreach.\\\nSales teams use it for outbound.\\\nMarketing teams use it for campaigns.\\\nProducts use it for onboarding, activation, and transactional emails.\n\nBut when emails start going to spam, most teams don’t really know why.\n\nThey check random tools.\\\nThey look at raw DNS records.\\\nThey ask ChatGPT.\\\nThey change things blindly.\\\nThey wait and hope inbox placement improves.\n\nThe problem is not only that deliverability is technical.\n\nThe real problem is that most tools show data, but don’t explain what matters or what to fix.\n\nAnd now, with AI agents sending emails, monitoring systems, and managing workflows, this problem gets bigger.\n\nAgents need access to live deliverability tools too.\n\n---\n\n## 💡Our Solution\n\n**mailX is a free deliverability diagnostic platform for humans and AI agents.**\n\nWith mailX, you can analyze a domain in seconds and get a clear report showing:\n\n* What is working\n* What is broken\n* Why it matters\n* What to fix next\n\nThe web app gives founders, marketers, sales teams, and developers a simple way to understand why emails may go to spam.\n\nThe API and MCP server make the same tools available to AI agents and developer workflows.\n\nSo instead of copying DNS records into different tools, your agent can directly check email authentication, blacklist status, mail server configuration, and deliverability signals.\n\n---\n\n## ⏳How it works\n\n1. Enter a domain on [**themailx.com**](http://themailx.com)\n2. mailX runs a live deliverability audit\n3. You get clear issues, explanations, and fixes\n4. Developers can use the JSON API\n5. AI agents can use the MCP endpoint directly\n\nThe best part is that you can lets you AI Agent fix your deliverability or directly integrate it to your Claude or ChatGPT.\n\nHere’s a quick demo of mailX:\\\n<https://www.youtube.com/watch?v=YWmV7-wthQI>\n\nIn the demo, we show:\n\n* Running a domain audit\n* Getting clear fixes\n* Using the MCP/API layer for AI agents and developers\n\nWe currently support checks and tools for email authentication, DNS records, blacklist status, mail server configuration, and record generation.\n\n---\n\n## Why now?\n\nEmail deliverability used to be something only email experts cared about.\n\nToday, every startup relying on outbound, lifecycle emails, AI SDRs, or automated email workflows needs to understand it.\n\nAt the same time, AI agents are becoming part of the stack.\n\nBut agents need tools.\\\nThey need live data.\\\nThey need safe, structured ways to diagnose and act.\n\nThat’s why we made mailX available through:\n\n* Web app\n* JSON API\n* MCP server\n* Agent skill\n* LLM discovery endpoints\n\nOur belief is simple:\n\n**Email deliverability should be understandable for humans and usable by AI agents.**\n\n![uploaded image](/media/?type=post&id=101509&key=user_uploads/422675/ffc97aad-6864-4525-a89d-0aa1f7890289)\n\n---\n\n## Backstory\n\nIn 2019, we failed a startup after 2 years of work.\n\nAfter that, we decided to test ideas much faster: one launch per week.\n\nEvery launch used the same growth channel: email.\n\nCold emails.\\\nPartnership emails.\\\nLaunch emails.\\\nFollow-ups.\n\nThat’s when we understood something obvious: If your emails don’t land in the inbox, nothing else matters.\n\nThat led us to build Mailwarm in 2020.\n\nAfter years helping thousands of teams improve deliverability, we kept seeing the same pattern: People don’t know why they land in spam.\\\nAnd even when they see the data, they don’t know what to fix.\n\nmailX is our answer to that.\n\n---\n\n---\n\n## 🙏 Our Ask\n\nWe’d love your feedback from the YC community.\n\nIf you are doing cold email, email marketing, transactional email, or building AI agents that send or monitor emails, try mailX and tell us what is missing.\n\nAlso, if you are building an AI agent or workflow where email deliverability matters, we’d love to talk.\n\nTry mailX: [**https://themailx.com**](https://themailx.com)\\\nBook a call through MailAdept if you want help choosing the right setup: [https://calendly.com/mailwarmsessions/mailx](https://calendly.com/mailwarmsessions/mailx?month=2026-05)",
        "url": "https://www.ycombinator.com/launches/QPF-mailx-by-mailwarm-instant-deliverability-diagnostics-for-ai-agents-humans",
        "votes": 35,
        "created_at": "2026-05-18T17:10:14.688Z"
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        "title": "Tella — the screen recorder that edits videos for you.",
        "tagline": "Tella makes it easy to record professional videos — right from your browser.",
        "body": "Tired of videos looking like this?\n\n![uploaded image](/media/?type=post&id=64230&key=user_uploads/497790/da78b9f7-3ec7-4000-b7db-9f8f19b34d33)\n\nTry Tella instead.\n\n![uploaded image](/media/?type=post&id=64230&key=user_uploads/497790/1562ef2d-fcca-49dd-a46a-08ce56787734)\n\nRecord professional videos, customise them how you want, and share on the web—instantly.\n\nTella eliminates the hassle of creating good videos. So you can focus on delighting customers, engaging your community, or growing your audience.\n\nUse Tella for your next demo, launch video, or tutorial.\n\n[Try Tella for free](https://www.tella.tv/)",
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        "body": "**Access our talent** [**here**](https://talent.soyhenry.com) **now, with $0 hiring fees!** [**Watch 2 min demo.**](https://www.loom.com/share/11f8cd05f95843e794be5810e3937f36)\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/7edfa430-59ae-4895-85a4-57816809a2ac)\n\n\\+100 happy employers within the YC community\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/92b0b5c0-4f37-48fe-91bc-e397e5d3af08)\n\nWatch [video testimony](https://www.youtube.com/watch?v=DhDfHVDyGFM) from YC employers.\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/a7d703d3-8b23-4f18-8b9f-dae197cf7957)\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/18fac62c-f44a-4cc5-8cdc-741a440e3d4e)\n\nJust make them an offer [here](https://www.talent.soyhenry.com/?hl=en) and start working with them instantaneously. \\\n[Watch 2 min video](https://www.loom.com/share/11f8cd05f95843e794be5810e3937f36).\n\n![uploaded image](/media/?type=post&id=65232&key=user_uploads/345596/e03c55b3-017c-4395-86cc-91da06d3a374)\n\nWe believe that while potential is evenly distributed across society, opportunities are not. Two years ago, **we were born with the mission to accelerate LatAm’s transition towards social equality by connecting people with high-paying jobs worldwide.**\\\n\\\nIf you are interested, shoot me an email at [martin@soyhenry.com](mailto:martin@soyhenry.com), [book a call](https://calendly.com/luzborchardt/calendar?month=2022-08) or fill out [this form](https://www.ycombinator.com/launches/Gy8-henry-access-latam-s-vetted-engineers-ready-to-start-immediately-for-free) and I and I’ll send you handpicked candidates within 48 hours at no cost.",
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        "id": 110069,
        "title": "Deployment Strategist - New York",
        "url": "https://www.ycombinator.com/companies/draftwise/jobs/6MD2SEf-deployment-strategist-new-york",
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        "url": "https://www.ycombinator.com/companies/draftwise/jobs/FzigST8-deployment-strategist-london",
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        "date": "Mar 14, 2024"
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      {
        "title": "Our Series A announcement – A letter from the founders.",
        "url": "https://www.draftwise.com/blog/series-a-letter-from-the-founders",
        "date": "Mar 14, 2024"
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      {
        "title": "AI Startup DraftWise Raises $5M, With Help From Orrick Herrington & Sutcliffe | Legaltech News",
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    "long_description": "Acquired by HubSpot in 2026.\n\nStep 1: We find you warm leads: contacts + companies that are showing interest on your website (via 6sense/Clearbit) and researching you around the web (via Bombora) but haven't converted yet.\n\nStep 2: We then auto follow up via chat, email or LinkedIn. Depends what workflows you want to set up - we can AI chat with them on your website, auto AI email them via your sequence provider of choice, and/or auto AI linkedin sequence them. Your humans can verify everything before being sent too. \n\nOutcome: 10x more outbound than a human SDR, 3x reply rates since they're warm and more booked meetings (results shown in ROI dashboard). \n\nP.S. if you want to use humans: you can send 1-click warm intro requests via your network or live chat/video call them too.\n\nThis is the power of an autonomous sales orchestration platform and we have 100+ paying customers who can back it up.",
    "one_liner": "[Acquired by HubSpot in 2026] Autonomous sales platform to auto-email…",
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        "full_name": "Max Greenwald",
        "title": "Founder",
        "founder_bio": "First time founder learning a lot.",
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        "linkedin_url": "https://www.linkedin.com/in/max-greenwald/",
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        "user_id": 500749,
        "full_name": "Carina Boo",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO at Warmly,. Learn more about who I am at a deeper level at https://pushpull.community/user/carina.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/carinaboo",
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      {
        "user_id": 409563,
        "full_name": "Alan Zhao",
        "title": "Founder",
        "founder_bio": "Traded foreign currency as a hobby throughout college. Joined the legacy proprietary trading group at Wells Fargo, and helped launch the bank’s first credit derivatives trading business. Saw that software and hardware breakthroughs were reaching an inflection point, and decided to transition to tech. Took a job building out the data analytics infrastructure at x.ai from scratch while picking up programming on the side. Joined On Deck, and met my current co-founders of Warmly 😊",
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    "news": [
      {
        "title": "Warmly Is Joining HubSpot",
        "url": "https://www.warmly.ai/p/blog/warmly-is-joining-hubspot",
        "date": "Jul 26, 2026"
      },
      {
        "title": "Warmly raises $6M Series A extension to optimise SMB engagement - Tech.eu",
        "url": "https://tech.eu/2025/02/04/warmly-raises-6m-series-a-extension-to-optimise-smb-engagement/",
        "date": "Feb 04, 2025"
      },
      {
        "title": "Warmly raises $11M Series A from Felicis",
        "url": "https://techcrunch.com/2023/10/19/warmly-pivots-from-zoom-tool-to-directing-warm-leads-to-sales/",
        "date": "Oct 19, 2023"
      },
      {
        "title": "Warmly Launches Free App For Zoom, Announces Fresh $2.4 Million In Additional Funding",
        "url": "https://www.forbes.com/sites/rashishrivastava/2021/07/22/warmly-launches-free-app-for-zoom-announces-fresh-24-million-in-seed-funding/",
        "date": "Aug 12, 2020"
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      {
        "id": 100530,
        "title": "Warmly - Always-On AI Sales Agent for Your Website",
        "tagline": "AI that gives demos, qualifies leads, and books meetings on your website 24/7",
        "body": "Hey YC 👋 We're Max, Carina and Alan, founders of Warmly.ai.\n\n**TL;DR**: We just launched **AI Autopilot**: an always-on agent that lives on every page of your website, identifies visitors at the person level before any form fill, gives demos, qualifies prospects, books meetings, and retargets the rest. Customers running it are converting 30% more inbound traffic. Setup is a script tag and 30 minutes.\n\nLaunch announcement [here](https://www.linkedin.com/feed/update/urn:li:activity:7455240801065885696/) (would greatly appreciate a comment!).\n\n<https://www.youtube.com/watch?v=EHybZmEzyTs>\n\n**The Problem**\n\nMost B2B SaaS companies are bleeding pipeline through their front door.\n\nYour website is your highest-leverage asset. Every visitor you've paid for lands there. They often have the problem you solve but you just might not be fast enough to get to them in time before they leave or go to a competitor.\n\nBuyers now expect to talk to someone immediately. They don’t want to wait a day to schedule a call with an SDR to get a basic question answered.\n\nBut every \"AI chatbot\" we've seen since 2023 has the same architecture under the hood: a stateless GPT wrapper that rebuilds context from scratch on every message, hallucinates, and hands off \"qualified\" leads with no traceability.\n\nAEs aren’t fans and buyers see through them in two messages.\n\n**What we built**\n\n<https://www.youtube.com/watch?v=KkvDdJCsqd8>\n\nAI Autopilot is one agent on every page of your site. It pulls from your website, help center, internal docs, sales calls, sales methodologies, and CRM.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/3ec0d6d3-bdec-4a67-9c20-5937dd63216d)\n\nIt picks its own qualification path. It generates slide decks on the fly mid-conversation, triggers the right videos by intent, and offers an optional video avatar so visitors talk to a person instead of a widget.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/368692f0-3842-48b8-8297-2cdd41ab78d7)\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/e3d90e0a-3c84-418b-b28e-445d7ee67dd4)\n\nWhen the visitor doesn't book? AI Autopilot doesn't give up. It Slacks your team, sends a personalized follow-up email, and triggers LinkedIn retargeting for your top prospects.\n\nIt self-improves.\n\nIt analyzes every conversation against the goals you set, tunes itself, and is version controlled. You can watch it get better over time.\n\nIn our beta accounts, automated inbound meetings increased 30%.\n\n**Why now**\n\nWe started out compiling signals for B2B sales/marketing teams, like person-level website visitor data.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/49b7ce12-478d-4b6f-a812-7a0810f6272a)\n\nIn the past year we took a different bet: build a context graph for B2B GTM first, then put agents on top of it.\n\nThe context graph is a unified, real-time data layer that connects every signal, action, note, and outcome for every account. When AI Autopilot engages a visitor, it knows they saw your LinkedIn ad last week, your SDR sent a follow-up email yesterday, and they downloaded a case study an hour ago. It doesn't have to \"look this up.” The context is already pre-computed in primitive stores it can query in milliseconds.\n\n![uploaded image](/media/?type=post&id=100530&key=user_uploads/409563/784e00dd-623d-42b2-94e4-fc67416b54a0)\n\nA blog post we wrote that covers how we think about the GTM space: [GTM Brain: Next Platform Owns Decisions, Not Data](https://www.warmly.ai/blog/gtm-brain).\n\n**Asks for the YC community**\n\n1\\. **Drop us a comment on our [launch post](https://www.linkedin.com/feed/update/urn:li:activity:7455240801065885696/)**. We’d love for more of our community to know us for building GTM agents and not just supply GTM data :).\n\n2\\. **Try us out.** Book a demo with us if this is something you’re interested in! <https://www.warmly.ai/p/book-a-demo>\n\nWarmly,\n\nMax, Carina & Alan",
        "url": "https://www.ycombinator.com/launches/Q9S-warmly-always-on-ai-sales-agent-for-your-website",
        "votes": 4,
        "created_at": "2026-04-29T17:07:12.204Z"
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  {
    "id": 22248,
    "name": "Mozart Data",
    "slug": "mozart-data",
    "former_names": [
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    "website": "http://www.mozartdata.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mozart Data provides an out-of-the-box modern data stack that empowers anyone to easily consolidate, organize, and prepare their data for analysis. Spin up a data stack that’s built on a best-in-class data warehouse and ETL tool in hours, without any engineering. You can finally spend more time on generating insights and less time wrangling your data.",
    "one_liner": "The easiest way to set up a modern data stack",
    "team_size": 24,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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    "year_founded": 2020,
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    "country": "US",
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        "user_id": 490519,
        "full_name": "Peter Fishman",
        "title": "Founder",
        "founder_bio": "Dan and I are working on data tools for SMBs, the types of modern data stacks that we've built at multiple high growth startups.  I've been running data and data-adjacent teams in the Valley for over a decade at startups from a variety of industries including gaming, social, HR/benefits, real estate, and cannabis.  Dan and I have been friends for 20 years and we previously co-founded a hot sauce company, Bacon Hot Sauce, 10 years ago selling hundreds of thousands of bottles.",
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        "linkedin_url": "http://www.linkedin.com/in/petefishman",
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      {
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        "full_name": "Dan Silberman",
        "title": "Founder",
        "founder_bio": "I am a product-oriented software engineer, with a focus on UX, data-engineering and data science. I've founded and worked at numerous startups, from consumer to fintech to healthcare.",
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    "news": [
      {
        "title": "Mozart Data announces free tier to encourage smaller businesses to get on platform | TechCrunch",
        "url": "https://techcrunch.com/2023/04/05/mozart-data-announces-free-tier-to-encourage-smaller-businesses-to-get-on-platform/",
        "date": "Apr 05, 2023"
      },
      {
        "title": "Mozart Data raises $15M to help startups spin up a data stack – TechCrunch",
        "url": "https://techcrunch.com/2022/04/27/mozart-data-raises-15m-to-help-startups-spin-up-a-data-stack/",
        "date": "Apr 27, 2022"
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    "launches": [
      {
        "id": 80903,
        "title": "Mozart Data for BigQuery",
        "tagline": "End-to-end data platform with BigQuery or Snowflake under the hood",
        "body": "**Mozart Data + Big Query:** \n\nDo you have GCP credits available? You can now get BigQuery, Looker, and use Mozart’s Sonata (free) offering to get your data to a central place and start your business intelligence reporting - ALL FOR FREE. <https://mozartdata.com/mozart-data-and-bigquery/>\n\n![](https://lh7-us.googleusercontent.com/VLxQv9WmV6PUd_VRSGK8Eycrlq_ZO1Ufsh86Omj4WGzYSvMSyio_aFAFFm50suDLOEAU-WxBaWkhLmaA3xUiPyt5R-ExWKpmzVaTg_UdguFvlDyPh485NNfvTdOeKZ6UN4hZhL7glPUNcbPJ6MGv3PQ)\n\nThis month, we’re launching **Mozart Data for BigQuery**. This is an extension of Mozart’s core offering: a **managed data platform** with best-in-class analyst support, so teams can reliably **centralize their data** and uncover actionable insights to drive their business more successfully. \n\nWe’ve helped hundreds of companies set up their data infrastructure without hiring a data engineer. With Mozart, you can set up BI reporting to have a business overview, answer questions about what customer segments are good from a usage or advertising perspective, and even gain insight into what customers are at risk of churn. \n\n**Best In Class Modern Data Stack:** \n\nSince YC’s S20 batch, we’ve had a Henry Ford-like stance on the Model T – any color the customer wants, as long as it’s black, or any data warehouse you want so long as it’s Snowflake.\n\nWe have always believed that we should offer a best-in-class gluing together of the modern data stack, so that startups can set up their data infrastructure without a data engineer, while also being able to set up their data infrastructure quickly without being slowed by the paradox of choice.\n\n![](https://lh7-us.googleusercontent.com/ZAqzbGQWvrFAJkhcQngoYlh_FFJlqvkino8OF5Y36mfGvVPj58G1TfAbZlfw8ubMm5-ic6Is__j-KdPbf_tJwGuIGNOIDUavikdjYH1RCfN0jh2hhACgHHKld1L37DWMEtbJ6755-BoelzMd04_yNOI)\n\n**Choose your Data Warehouse**: \n\nNow, we are changing – Mozart will help you get up and running with either Snowflake or BigQuery as your data warehouse. We want to help you use your GCP credits to get your data set up with an ETL and a data warehouse. You get first-class data infrastructure from the start without needing the data engineer to help make it happen – we’ll do it for you.\n\nAgain, the Mozart team will help you use your GCP credits and get your data infrastructure to a strong, self-sufficient state so that you can begin to use BI tools to optimize and report on your business. If using YC deals, this can be done for free.\n\n![](https://lh7-us.googleusercontent.com/o8z17dm77X-Atz10mA3vPdBSMR5J081iYxkqyO4LbNP_zCOOiFHuzTeCmaFtP3l6SRFI-Uel-zCpbezXCAAHaJ_WySxNnOYNt3JKNOD46LEBmMvV-0Yj7Xp4CxhYNuloJy5DmIKtrjqARG1gYxhM01I)\n\n**Learn more, and sign up:** \n\nWant to learn more about Mozart Data’s product and Google BigQuery integration, or just want to chat about data infrastructure or analytics, ping [support@mozartdata.com](mailto:support@mozartdata.com).",
        "url": "https://www.ycombinator.com/launches/L2t-mozart-data-for-bigquery",
        "votes": 21,
        "created_at": "2024-05-16T20:12:22.106Z"
      },
      {
        "id": 70031,
        "title": "Mozart Data Sonata - we set up and maintain world-class data infrastructure (ELT & Warehousing) for FREE",
        "tagline": "Every company should have the ability to use a Modern Data Stack from the start",
        "body": "**tl;dr:** We set up and manage your data warehouse (Snowflake), extract and load your data (Fivetran), and provide you a layer for transformation so that you can clean and organize your data before visualizing it (in your favorite tool). If you have startup data volumes and you want a free solution that sets up in less than an hour with no data engineering needed, you can do this with the Mozart Data Sonata package. [Signup for FREE](https://app.mozartdata.com/signup-sonata)!\n\n—\n\nWe’re Dan & Pete, co-founders of [Mozart Data](https://www.mozartdata.com/), and the other maestros on the Mozart team.\n\n![uploaded image](/media/?type=post&id=70031&key=user_uploads/490519/74d9ddad-1710-4156-96fb-a83c044bf708)\n\n🧠 Dan is the CTO and a product-oriented software engineer, with expertise in user experience, data engineering, and data science. He has a long history of founding and working at numerous startups across a variety of industries, including gaming (Gamador YCW10), fintech (GogoCoin 500S15), and healthcare (Clover Health CLOV). He and Pete also co-founded [Bacon Hot Sauce](https://baconhotsauce.com/) in 2010, which sold hundreds of thousands of bottles.\n\n🎯Pete aka “Fish” is the CEO and has over a decade of running data and data-adjacent teams at startups in a variety of industries. These include gaming (Playdom/Disney), social (Yammer/Microsoft), HR/benefits (Zenefits), real estate (Opendoor), cannabis (Eaze), B2B (GoDaddy), and sports (Philadelphia Eagles). He has a Ph.D. in economics and loves talking about correlation vs. causation.\n\n# What is the Modern Data Stack and why does it matter?\n\nWe jokingly say that the Modern Data Stack is about 500 logos on a VC pitch deck slide. Navigating through the noise is challenging because many of the modern tools aim to solve advanced problems that most companies never encounter. Instead, we’ve optimized the data infrastructure onboarding experience to be achievable without any data engineers or experts.  Mozart will set up your data pipelines – seamlessly gluing world-class ELT, data warehousing, data transformation, data monitoring & alerting, cost-optimization, and governance all together for you. This gives you the full power of a modern data stack (Snowflake + Fivetran) even if all you know is some basic SQL, so you can focus on your specific product and business challenges.\n\n![uploaded image](/media/?type=post&id=70031&key=user_uploads/490519/fe251d78-d894-4e17-bfb9-10622d4ab9cb)\n\nEarly examples of analysis teams do with a Modern Data Stack:\n\n* Answer basic questions (with auto-update) like: How many customers do we have? What does our revenue/cost look like over time?\n* Set up an Investor Dashboard with core metrics using Metabase to visualize\n* Set up Slack or email alerts when events happen in your application db\n* Get your Salesforce/Stripe/Shopify data syncing to GSheets\n* Reconcile how much each client is supposed to be paying and is actually paying\n* Set up a test and alert that we have a first and last name for every client (or any other necessary condition)\n* Push cleaned data about clients to a GSheet for customer service or operations teams to consume\n* View basic product funnels with Segment data through your favorite BI tool\n* Set up lead and churn (likelihood) scores for prospects and customers\n* SQL query collaborative editing with version control backed by GitHub\n* Save money on platforms that price based on seats with the same visibility into performance\n* Set up your long-term data infrastructure that can scale cost-effectively\n\nThere are many reasons to get your data infrastructure set up early.  There are many quick wins from reporting, alerting, effective operations, governance, and cost-saving.  With tools like Mozart Data, you can do this without data engineers.  With our Sonata package, you can see the value in the data for yourself for FREE.\n\n# Our ask 🙏\n\nGive Mozart Sonata a try, [sign up here](https://app.mozartdata.com/signup-sonata)\n\n* Bonus: self-serve\n* Double Bonus: load your first data source (just credentials needed), schedule a transformation, or graph/visualize a key metric\n* Triple Bonus: share your feedback with us at [founders@mozartdata.com](mailto:founders@mozartdata.com)",
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        "title": "ZeroStep - AI-assisted actions and assertions for Playwright tests",
        "tagline": "ZeroStep's ai() function unlocks the power of GPT3.5 and GPT4 to make Playwright tests simpler and more resilient to change.",
        "body": "[**ZeroStep**](https://zerostep.com/) is a JavaScript library that adds the power of AI to Playwright tests. ZeroStep’s **ai()** function lets developers test a web application using simple plain-text instructions, embedded directly in their Playwright tests.\n\nHere’s a complete Playwright test using ZeroStep that verifies the core “book a meeting” workflow in Calendly:\n\n```javascript\nimport { test, expect } from '@playwright/test'\nimport { ai } from '@zerostep/playwright'\n\ntest.describe('Calendly', () => {\n  test('book the next available timeslot', async ({ page }) => {\n    await page.goto('https://calendly.com/zerostep-test/test-calendly')\n\n    await ai('Verify that a calendar is displayed', { page, test })\n    await ai('Dismiss the privacy modal', { page, test })\n    await ai('Click on the first available day of the month', { page, test })\n    await ai('Click on the first available time in the sidebar', { page, test })\n    await ai('Click the Next button', { page, test })\n    await ai('Fill out the form with realistic values', { page, test })\n    await ai('Submit the form', { page, test })\n\n    const element = await page.getByText('You are scheduled')\n    expect(element).toBeDefined()\n  })\n})\n```\n\nSix months ago, we launched an AI “prompt” feature in [**Reflect**](https://reflect.run/), our low-code testing platform, that lets users execute actions and assertions from plain-text prompts. Since then, two-thirds of our customers have incorporated AI prompts into their Reflect tests. We’re convinced that AI will lead to a step change in how products are end-to-end tested, and want as many devs as possible to be able to take advantage of this new technology.\n\nWith ZeroStep, you can get the benefits of easy-to-write test steps and less flaky tests, with minimal changes to your existing Playwright testing workflow.\n\n**The biggest benefits of ZeroStep are:**\n\n* **Tests are easier to write**. Writing an ai() step is equivalent to describing the action (“Fill out the form with realistic values”), assertion (“Verify there are no errors displayed on the page”), or extraction (“What is the shopping cart total?”) in plain English. The AI does the rest. There’s no need to write selectors, or add data-test-id attributes all over your app so that your tests have stable locators. Our website and GitHub repo show several examples of tricky testing scenarios that are made easy with ZeroStep.\n* **Tests are less frustrating to maintain**. Unlike selectors, ZeroStep ai() steps are not tightly coupled to your app’s markup. The ZeroStep AI interprets your ai() steps at runtime which means even large scale changes in the app won’t break your tests, so long as your functional requirements remain unchanged. Selectors, in my opinion, are one of the worst leaky abstractions in software development. I can’t imagine how many dev hours have been lost due to them. We’re happy to not use any concept of selectors with this approach.\n* **It’s easy to ramp up**. ai() steps have no predefined syntax (unlike Cucumber). You just need to be able to clearly describe what action, assertion, or extraction you want the AI to perform.\n\n**Our Ask:**\n\nIf your front-end developers write and maintain Playwright tests, and would benefit from tests being faster to write and easier to maintain, we think they’ll love ZeroStep.\n\nWe offer a generous free tier and it’s easy to get started. More information is available at <https://zerostep.com/> and our GitHub repo: <https://github.com/zerostep-ai/zerostep>",
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    "id": 22353,
    "name": "Brevy",
    "slug": "brevy",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23c349758be3fb8d23035696b4dc152ab038c841.png",
    "website": "https://brevy.com/",
    "all_locations": "Remote",
    "long_description": "Brevy is an AI chatbot that uses large language models to resolve eCommerce support tickets with human level accuracy at a fraction of the price.\r\n",
    "one_liner": "Empower your customer service team through AI & automation.",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1614907423,
    "tags": [
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      "B2B"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2020",
    "status": "Acquired",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/brevy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/brevy.json",
    "year_founded": 2020,
    "city": null,
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        "user_id": 519634,
        "full_name": "Mohamed Abedelmalik",
        "title": "Founder",
        "founder_bio": "Former Machine Learning Engineer at Bing \nColumbia University '19 \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abedelmalik/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b77783d09bce5dbae522b3e0ccd66ae92db3c20.jpg"
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        "title": "Founder",
        "founder_bio": "Former Software and Growth Engineer at Facebook Reality Labs (Oculus / Portal)\nColumbia University '19",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/conder-shou/",
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        "user_id": 520817,
        "full_name": "Anika Zaman",
        "title": "Founder",
        "founder_bio": "Working on letterspade.com\nFormer PM at Microsoft Azure\nRice University, Electrical & Computer Engineering '18",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anika-zaman/",
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    "id": 22533,
    "name": "Webiny",
    "slug": "webiny",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adfd1c33ceed7c9e58e31857fc68ab3c74ad1ad4.png",
    "website": "https://www.webiny.com",
    "all_locations": "Zagreb, Croatia; London, England, United Kingdom; Remote",
    "long_description": "When the public cloud appeared migration was easy. Existing apps running on physical servers could just be moved to virtual machines running in the cloud. The cloud is now moving towards serverless, and serverless is not backward compatible. New tools need to be created and existing apps need to be rewritten. Webiny provides developers with everything they need to build those serverless apps.\r\n\r\nWe are a 100% remote team.",
    "one_liner": "Open-source framework for building serverless applications",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1615457343,
    "tags": [
      "Developer Tools",
      "B2B",
      "Open Source"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "Croatia",
      "United Kingdom",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/webiny",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/webiny.json",
    "year_founded": null,
    "city": "Zagreb",
    "country": "HR",
    "linkedin_url": "",
    "x_url": "https://twitter.com/WebinyPlatform",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/webiny",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adfd1c33ceed7c9e58e31857fc68ab3c74ad1ad4.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 331362,
        "full_name": "Sven Al Hamad",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO at Webiny. \n\nEx-Akamai - worked with the largest media and ecommerce customers in Europe as their trusted advisor on the topics of web performance and architecture. Proven track record of successful delivery of several multi-million dollar projects for large enterprises. \nAn experienced entrepreneur acted as a CTO in 4 different startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/svenalhamad/",
        "x_url": "https://twitter.com/SvenAlHamad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25b2635a988d3eb64d689b6349c9b37f6f43c0f7.jpg"
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      {
        "user_id": 331377,
        "full_name": "Pavel Denisjuk",
        "title": "Founder",
        "founder_bio": "CTO and Co-founder of Webiny.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paveldenisjuk/",
        "x_url": "https://twitter.com/paveldenisjuk",
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    "id": 22591,
    "name": "Runway",
    "slug": "runway",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a792f803f1d7ccad7da795b30ca7b07eb81a1cdc.png",
    "website": "https://runway.team",
    "all_locations": "New York City, NY, USA; New York, NY, USA; Remote",
    "long_description": "",
    "one_liner": "Easier and more reliable mobile app releases for teams.",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1615594933,
    "tags": [
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      "B2B"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/runway",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/runway.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/runway-team/",
    "x_url": "https://twitter.com/RunwayTeam",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/runway-5d78",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a792f803f1d7ccad7da795b30ca7b07eb81a1cdc.png",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 562880,
        "full_name": "Gabriel Savit",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Runway (runway.team)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gsavit",
        "x_url": "https://twitter.com/gabrielsavit",
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        "user_id": 586466,
        "full_name": "Matt Varghese",
        "title": "Founder",
        "founder_bio": "UI/UX Lead @ Runway",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mattvarghese/",
        "x_url": "https://twitter.com/pxlt",
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      {
        "user_id": 578385,
        "full_name": "David Filion",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-filion-bb050249",
        "x_url": "",
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    ],
    "jobs": [
      {
        "id": 46511,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/runway/jobs/0s9VB2H-full-stack-engineer",
        "location": "US / GB / AU / ES / FR / MX / DK / SE / IT / PL / CZ / PT / BE / NL / CA / FI / EE / BR / Remote (US; GB; AU; ES; FR; MX; DK; SE; IT; PL; CZ; PT; BE; NL; CA; FI; EE; BR)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $150K",
        "equity_range": "0.05% - 0.15%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Android",
          "Go",
          "iOS",
          "React",
          "React Native",
          "TypeScript",
          "Flutter"
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    ],
    "news": [
      {
        "title": "Runway raises $2M seed, launches its ‘air traffic control’ system for mobile app releases – TechCrunch",
        "url": "https://techcrunch.com/2021/11/16/runway-raises-2m-seed-launches-its-air-traffic-control-system-for-mobile-app-releases/",
        "date": "Nov 16, 2021"
      }
    ],
    "launches": [
      {
        "id": 76281,
        "title": "📲 ⏪ Mobile Rollbacks by Runway",
        "tagline": "Undo a bad native app release with a single click.",
        "body": "## Mobile Rollbacks ensure your team is always just one click away from addressing critical bugs in production. \n\nNo one is immune from shipping critical bugs to production. No matter how extensive your test coverage, no matter how thorough your QA, no matter how much you put behind feature flags — your mobile team _will_ ship irreversibly-bad updates that break things and upset your users. \n\nThis is especially problematic for mobile because you can’t roll back immediately like your web or backend friends can. Rather, you have to triage the issue and assign it to the right team members, implement fixes (or carefully revert the offending changes), compile one or more RCs, upload to the stores, submit for review, then cross your fingers and pray to the store review gods for a speedy review. And the negative impacts of even just a few hours with a critically broken app can be eye-watering: tens or hundreds of thousands of dollars in lost revenue, a flood of negative user reviews, and overwhelmed CX or ops folks.   \n\nBut what if it didn’t have to be that way? What if you could instantly resolve a critical issue in prod, with a single click? Now, you can. \n\n### Recover from production issues in zero time — literally\n\nCritical issue? Roll back instantly. In the background of every normal release cycle, Runway automatically re-signs your last live production build and preps it for a possible rollback release — including preemptive submission for review (iOS only) — to remove all possible sources of delay. Should something go wrong in prod, there’s always a corresponding rollback build ready and waiting for single-click release in Runway. \n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0344379d5700b526a01_deploy-rollback-button.png)\n\nHere’s how the rollback flow works in a bit more detail:\n\n1. Your team is busy getting your next regularly-scheduled release out the door. Let’s call it version 1.2.0.\n2. In the background, Runway takes your latest live build in production — say, 1.1.0 — and re-signs it, bumping the version to 1.2.1 and incrementing the build number as necessary.\n3. Your team releases 1.2.0 as scheduled. Nice!\n4. The 1.2.1 rollback release is surfaced in Runway, just in case. For iOS, we also preemptively create a new version for the possible rollback in App Store Connect and submit the rollback build for review.\n5. Your team is monitoring the rollout of 1.2.0 and identifies a critical issue 🚨You halt the rollout.\n6. Right next to the button you used to halt the rollout, there’s another button to release the rollback build that’s ready and waiting. Click that, and you’re all set.\n\nWith rollback builds primed and ready to go, your team can address critical bugs in prod with a single click — cutting out all the lead time needed to investigate and implement a fix, get builds compiled and uploaded, and make it through the store review process.\n\n### Take the pressure out of hotfixes; triage more fully and fix more confidently\n\nEven if you ship a rollback to address an issue in prod, it doesn’t mean you’ll necessarily wait until your next regularly-scheduled release to issue a fix. In fact, it’s likely you’ll use rollbacks in conjunction with roll-forward hotfixes — and those hotfixes will be better as a result. Because rollbacks allow you to instantly stabilize a critical situation, you can take your time in triaging, investigating, implementing fixes, and then working through your hotfix release process.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b0ce132292bf3747a1af_rolllout-rollbacks-final.gif)\n\n### More predictable resolution timelines & fewer unanswerable questions from stakeholders\n\nEvery team knows the feeling of dread that hits when you’ve shipped a breaking change and leadership shows up in your #mobile Slack channel. _Is the fix in yet? Is the build approved by Apple? How about now?_ With rollbacks in Runway, you can actually respond to these kinds of asks, and give stakeholders confidence that the situation is under control.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b15743d1af6cfd9dcf50_slack-popup.png)\n\n### When you need a rollback, it’s there for you (batteries included). When you don’t, we’ll handle all the cleanup.\n\nRunway’s rollbacks functionality encompasses quite a few dependencies and steps which, if approximated manually each and every release, would require a lot of work — not just to prepare each rollback, but also to clean up unused rollbacks along the way. Now, you no longer have to choose between investing huge amounts of time and effort into setting up rollbacks manually or else forfeiting the safety net rollbacks provide.\n\n![](https://assets-global.website-files.com/5ef1f28e08458502ba614d85/6555b18d930993fe03666aaa_rollback-settings.png)\n\nWith rollbacks, Runway gives your mobile team _the quickest_ possible way to respond to critical issues in production. Instead of scrambling to identify, implement, and ship a fix, you can immediately “stem the bleeding” and resolve things with a single click. Stakeholders won’t hover wondering when a resolution will land, and your team can triage and implement fixes more confidently, without all the pressure that typically accompanies hotfix situations. Plus, rollbacks mitigate the serious negative impact to revenue and app store reviews that comes with a buggy app being in users’ hands for even just a couple of hours.\n\n### How to give Rollbacks a try\n\nYou can sign up for free on the [Runway site](http://runway.team), no credit card required, and we’re always available to give you a guided walkthrough — just get in touch!",
        "url": "https://www.ycombinator.com/launches/JqL-mobile-rollbacks-by-runway",
        "votes": 9,
        "created_at": "2023-11-16T17:50:09.865Z"
      },
      {
        "id": 71808,
        "title": "📲 🚀 Build Distro by Runway",
        "tagline": "Better mobile build distribution for teams",
        "body": "## Build Distro makes it dead simple to get the right app builds into the right teammates’ hands\n\nMobile build distribution is hard. There’s the provisioning and signing gauntlet, of course, but the challenges don’t end there. Getting the right builds in front of the right teammates takes constant effort and shepherding, and creating an install flow that’s pain-free is difficult. Existing tooling options tend to jumble all different kinds of builds together and offer half-baked installation flows; the “human factors” aspect of build distribution is secondary, or ignored altogether.\n\nWe set about building a better, more foolproof and human-centric way.\n\n### What is Build Distro?\n\nBuild Distro allows you to clearly define and group the different types of mobile builds your team distributes – from one-offs and work-in-progress dev builds, to staging builds, to release candidates. You can avoid the usual jumbled pile of builds that folks have to carefully sift through, and give technical and non-technical team members alike an easier way to grab builds, with streamlined installation via QR or Slack link. With hassle-free distribution, your team can check out builds earlier and more often, improving collaboration and app quality.\n\nHere are some highlights:\n\n📲 **Get the right builds into the right people’s hands**\n\nBuild Distro introduces the idea of build buckets to allow you to clearly define and group different flavors of builds. Instead of having all distributed builds landing in that jumbled pile, you can now separate different kinds of builds using definitions based on branch, CI workflow, or some combination of both — or using more freeform, ad hoc buckets. Not only are build flavors logically separated into buckets, but you can set up targeted notifications and scope access per bucket to ensure the right people are aware of and able to seamlessly install new builds relevant to them.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/830900f0-fe8a-4c8e-b050-5b86956de7d5)\n\n**✨ Share one-offs & early test builds more easily**\n\nWith branch-based and ad hoc, personal build buckets, Runway makes it much easier to share work-in-progress builds. You can create dedicated buckets for test builds and nightlies on your main development branch or any feature branches, and everyone on your team can also have their own personal buckets to drop updates into as they work. Product managers, QA, designers, and other engineers and stakeholders can now easily grab any WIP builds, earlier and more often during the development cycle, helping your mobile org improve quality and shift left.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/e0e69e93-f6bd-4497-a3ed-7d50a23c68df)\n\n🔒 **Make it impossible to ship the wrong build to prod**\n\nOne of the worst failure modes around build distribution has to do with test or staging builds getting accidentally shipped to production. It may be rare, but when it happens, it can be devastating. Confusion around distributed build flavors is often to blame, and Runway’s build buckets remove this risk. Clearly delineate prod and pre-prod builds, and scope access accordingly.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/5c3d452c-2760-44b9-98c6-eb3b97edef2d)\n\n**📥 Install app builds with less hassle, and more context**\n\nEven once someone has tracked down a build they want to check out, actually getting it onto their device comes with its own hassles. Runway makes installation foolproof and seamless: with each build, you can install directly by scanning a QR code or sending yourself a link in Slack. Plus, alongside each build you can see full context on the build flavor and exactly what work it contains — no more guesswork, pinging build numbers back and forth and hoping you’re grabbing the right version of the app.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/a26f0045-ebdb-4b8b-9048-82f90457d415)\n\n⚙️ **Integrate with your existing tools for zero extra overhead**\n\nGetting up and running is simple: connect your existing CI and… that’s it. Once you’re connected, Runway will get you started with a few default shared buckets for development and RC builds, and anyone on your team can easily create scoped personal buckets. To define a new shared bucket, simply select a workflow (from among any defined in your CI, automatically pulled in by Runway), a branch, or some combination of both.\n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/1bef9a17-07df-4d74-8d39-b1607e832e8e)\n\n🤝 **Standalone or tightly integrated with the rest of Runway**\n\nExactly how you leverage Build Distro is up to your team. You can spin up Build Distro by itself and use it as a standalone tool. Or, for a tightly integrated experience across the entire dev and release cycle, Build Distro plugs seamlessly into Runway’s end-to-end release management platform as a beta integration, allowing you to manage everything to do with pre-prod builds and testers alongside the rest of the release context. \n\n![uploaded image](/media/?type=post&id=71808&key=user_uploads/562880/21fcb35f-06ec-4ee9-8b97-529a179561bc)\n\n### Who is Build Distro for?\n\nBuild Distro is for mobile teams of all sizes who care about getting builds into the hands of team members and testers early and often. \n\nThere are a few team members that might be especially excited about Build Distro:\n\n* Mobile engineers who want to get more eyes on their in-progress work, well before it makes its way to the team’s main branch\n* PMs who care about checking out product work as it’s being developed, without having to hunt around for specific builds\n* QA folks who want to stay on top of testing without the volley of unintelligible build numbers over Slack\n* Anyone on the team, technical or non-technical, who cares about the product and wants to check out and help test builds pre-production\n\n \n\n### How to give Build Distro a try\n\nYou can sign up for free on the [Runway site](https://app.runway.team/signup?intent=buildDistro), no credit card required, and we’re always available to give folks a guided walkthrough as well – just get in touch!",
        "url": "https://www.ycombinator.com/launches/IgC-build-distro-by-runway",
        "votes": 9,
        "created_at": "2023-05-24T15:53:19.752Z"
      },
      {
        "id": 67143,
        "title": "📲 📈 Rollouts by Runway",
        "tagline": "Automate app rollouts with a full picture of release health",
        "body": "# A single source of truth for mobile release health, instantly understandable – and actionable\n\nAs former mobile engineers ourselves, the Runway team and I have experienced the challenge of rollouts firsthand  — and now, we’ve built something that can help. We’re excited to announce [_Rollouts_](https://www.runway.team/blog/introducing-rollouts-by-runway), a new part of the Runway platform that helps your team navigate rollouts with less collective stress, and more confidence. _Rollouts_ allows you to easily keep tabs on release health in just one place instead of many, alerts you whenever configured metrics become unhealthy, and safeguards release health by automatically halting rollouts based on thresholds you define.\n\n# What is _Rollouts_?\n\nHere are some highlights:\n\n### 🗺 The only complete picture of release health\n\nRollouts integrates with the mix of different tools you use to measure app health – crash reporting, observability & product analytics, the app stores (for per-version user ratings) – to create a single source of truth and unified dashboard that gives your team a holistic and instantly understandable view of release health at a glance. No more context-switching, no more mental overhead.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/098822f9-93e6-4ac4-a612-c13ce50f187e)\n\n### 🌡 You define exactly what “healthy” means for your team\n\nAcross all tools and every metric, you can configure granular thresholds that together define what “healthy” looks like for your team. Runway will surface a crystal clear view of how each release is tracking relative to that definition. With expectations around health codified this way, there’s no room for ambiguity or hand-waving when it comes to your team’s standards for quality of the product you’re shipping.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/479df881-d88e-4e1e-9cc2-d4ac27941bc4)\n\n### 🚨 Avoid blind spots and delays with instant alerting\n\nThe moment any of your configured metrics become unhealthy during a rollout, Runway will alert your team, in specific channels of your choosing and with full context on which metrics are problematic. You can be confident that no bad trends will go unnoticed – and that they can be acted on more quickly.\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/115d18e8-0167-47e6-8ce4-630bed0f564a)\n\n### 🛑 Automatically halt unhealthy rollouts\n\nBuilding on the custom thresholds you define, Runway can automatically halt unhealthy releases. With this automation enabled, if certain metrics of your choosing fall afoul of your acceptable thresholds during a rollout, Runway will automatically stop the rollout and alert your team. This prevents delays and human error, saving you from the negative consequences of a bad release making it out to even more users.\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/7f6156eb-df96-4332-b4d7-c432c4aac58f)\n\n### 💨 Automatically accelerate healthy rollouts\n\nIf all of your metrics are looking good and your rollout has reached a minimum number of users you define, Runway can accelerate things and release to all users immediately. Getting a good release out to all users more quickly can be just as impactful as halting a bad release!\n\n_(Available on the Runway Pro plan and above.)_\n\n![uploaded image](/media/?type=post&id=67143&key=user_uploads/562880/9088b19a-3ce0-467f-a390-2368f4c92464)\n\n# Who is _Rollouts_ for?\n\n_Rollouts_ is for mobile teams of all sizes who care about the quality and health of the apps they ship. If you want to ensure you’re not shipping bad product and your users are having the best possible experience, without painstaking babysitting, _Rollouts_ is for you.\n\nThere are a few folks _Rollouts_ might resonate with especially:\n\n* Release captains/drivers/pilots who want to de-stress and de-risk the experience of being in the driving seat during a rollout\n* Mobile engineers who are tired of poking PMs to check on key events in some analytics dashboard they don’t have access to or don’t understand\n* PMs who are tired of said mobile engineers poking them all the time\n* Mobile leads or EMs who want to be sure their entire team has the full picture of release health, to foster a healthy sense of ownership and accountability\n* Engineering leadership who care about keeping tabs on their mobile org, easily and noise-free\n* Anyone and everyone who cares about app health and preventing bad releases from making it out to even more users\n\n \n\n# How to give _Rollouts_ a try\n\nYou can sign up for a free trial via the [Runway site](https://www.runway.team), no credit card required, and we’re available to give folks a guided walkthrough as well – just get in touch!\n\nFor indies, small teams, and YC fam, we’re happy to talk discounting too.",
        "url": "https://www.ycombinator.com/launches/HSx-rollouts-by-runway",
        "votes": 18,
        "created_at": "2022-11-04T20:56:59.348Z"
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        "body": "### **Hi 👋**\n\nWe’re Jordan and Carlos and we’re excited to share our new product called [Waypoint](https://www.usewaypoint.com/). Waypoint makes it easy for software teams to design, orchestrate, monitor product-triggered emails. Think of it as an email delivery service that is geared for data-rich transactional emails (like order confirmations, reminders, receipts, alerts, and other system notifications).\n\n### **The problem**\n\nAdding data-rich email notifications to software in 2023 is still a pain. Most email tools are repurposed marketing email builders for templates with little to no dynamic data. This means getting data into branded templates and setting up logic around them (eg. delays) still requires significant code within your code base. Additionally, existing tools are lacking from an observability standpoint which makes it difficult for developers to test and debug.\n\nWhile it’s easy to hate on emails, the truth is that emails still act as the ‘[glue of UX](https://www.usewaypoint.com/blog/transactional-emails-the-glue-of-ux-for-marketplaces)’ for most platforms and it is often the key to onboarding and engaging users.\n\n### \n\n### **The solution**\n\n\\\n**Demo video (4.5 min)**\n\n<https://www.youtube.com/watch?v=VVz4cupc8gA>\n\n\\\n**Design**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/8cfed776-9039-4bee-8f46-0d679c59d098)\n\n* Create templates that match your brand in minutes.\n* Use our block-based template builder that works seamlessly with [Liquid templating](https://liquidjs.com/) and [Markdown](https://www.markdownguide.org/).\n* Build with confidence knowing templates render well across clients and devices.\n\n\\\n**Orchestrate**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/610a5230-8d68-4cd8-b6a2-3924c2cd6731)\n\n* Trigger templates and workflows using our simple [developer friendly API](https://www.usewaypoint.com/docs).\n* Automate workflows with conditionals and delays using a visual builder.\n* Deliver emails reliably through world-class infrastructure.\n\n\\\n**Monitor**\n\n![uploaded image](/media/?type=post&id=71975&key=user_uploads/18473/aa5c76c1-3ae6-4c24-9c22-587d837d450e)\n\n* See a full timeline of events. From initial trigger to clicks.\n* Be informed of bounces or any other exceptions.\n* Log a receipt of the full email content and data variables for every mail.\n\n\\\n**Customer quote**\n\n> _\"Waypoint team and support surpassed our expectations, ensuring a seamless transition from Sendgrid. Their liquid templating simplified the conversion of our existing emails, and since migrating, their service has been flawless. Our emails no longer end up in spam folders, leading to an impressive increase in our onboarding conversion rates. Waypoint's fast and reliable deliverability has taken our account verification success from below 50% to nearly 100%.”_\n\n– Dallin Dyer, CTO of [Dree.com](http://Dree.com)\n\n### \n\n### **Interested?**\n\nWe’d love to help. [Request access](https://www.usewaypoint.com/access) on [Waypoint](https://www.usewaypoint.com/) and mention ‘Launch YC’ to get to the front of the waitlist.",
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        "body": "Hey folks 👋\n\nWe are thrilled to share SigNoz with the YC community today!\n\n[SigNoz](https://signoz.io?utm_source=launchYC&utm_medium=homepage) is an open source alternative to DataDog, New Relic which helps developers monitor their applications, trouble shoot problems and get proactive alerts\n\nWe have quite an active dev community with **11,000+** github stars, **1800+** members in our slack community and **80+** contributors across our repos.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with using different tools for different telemetry signals like metrics, traces and logs. Correlating across different tools is super critical for teams to get value out of their telemetry data and solve issues faster.\n* Using proprietary vendor instrumentation code, locks you in to a vendor as it is difficult to change your instrumentation at a later stage.\n* Sending all data to vendor cloud may have privacy and security concerns for some users esp. who have customer PII data or have to maintain a tighter security posture\n\n**🚀 Why SigNoz?**\n\n1. Single pane of glass for metrics, traces and logs in a single application. Ability to correlate across different telemetry signals very easily.\n2. Natively based on [OpenTelemetry](https://opentelemetry.io) - and emerging open source standard for instrumentation and telemetry collection.\n3. Uses OLAP datastore (ClickHouse) which makes aggregation queries 10x faster compared to traditional DBs. \\\n   More than 50-60% of observability related queries are aggregation queries like group by, sum, count where users want to aggregate their data\n4. Can be self hosted easily. Keep all observability data in your own cloud.\n\n💻 **Demo**\n\nHere’s a quick demo of the product\n\n[Demo Video](https://youtu.be/Tl3Cz8tz4R8)\n\n💪 **Logs Performance Benchmark**\n\nWe also published a performance benchmark recently on how SigNoz logs product performs compared to other open source logs solutions like Elastic\n\n[https://signoz.io/blog/logs-performance-benchmark/](https://signoz.io/blog/logs-performance-benchmark/?utm_source=launchYC&utm_medium=logs-benchmark)\\\n\\\n**🙏 Asks**\n\nTry out SigNoz and share your feedback on how it can be improved. Here’s our github repo - <https://github.com/signoz/signoz>\n\nHave any questions? Join our [slack community](https://signoz.io/slack?utm_source=launchYC&utm_medium=slack-community) and drop a note\n\n😎 **What do we do for fun?**\n\nWe are a lean team constantly re-imagining the future of observability. Here’s a picture of our team from a recent workation at Goa\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/4a4d8bd7-7975-4e43-bc1e-394c7859d63d)\n\n![uploaded image](/media/?type=post&id=68621&key=user_uploads/95650/02c70ae9-d6a7-4fc3-97d5-5edd635dc5b9)\n\n",
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        "title": "Vogent Voice Agent Wizard: build voice agents with just a description",
        "tagline": "Create effective voice agents from scratch using a prompt and supporting files",
        "body": "**TL;DR:** **Vogent's Voice Agent Wizard uses AI trained on thousands of real agent designs to generate complete, ready-to-deploy voice agents from a simple description and any relevant files**\n\nhttps://youtu.be/IKisqK4cO5U\n\nBuilding a performant voice AI agent today means weeks of trial and error—clicking through dashboards, configuring countless parameters, testing edge cases, and waiting on support tickets. By the time you've iterated your way to something that works, your competitors have shipped and your launch momentum is gone.\n\n**Introducing Vogent's Voice Agent Wizard.** Trained on thousands of real agent design processes, our wizard understands what makes voice agents work in production. Just describe what you want your agent to do, attach a few transcripts or conversation examples, and it builds a complete, production-ready voice agent in minutes—not weeks.\n\nThe wizard handles everything: reasoning through the right agent architecture for your use case, configuring optimal parameters, generating appropriate system prompts, and even anticipating edge cases based on patterns it's learned from real deployments. What used to take experienced engineers days of iteration now happens automatically.\n\nThe result? You can go from idea to deployed voice agent immediately. Test new use cases instantly. Iterate in real-time based on user feedback. Focus on building your product, not wrestling with infrastructure.\n\n**Try the Agent Wizard today at [app.vogent.ai](http://app.vogent.ai)**\n\n![uploaded image](/media/?type=post&id=95431&key=user_uploads/539546/0cb9a065-4760-44be-bdce-c3e00b4f1636)\n\n",
        "url": "https://www.ycombinator.com/launches/OpD-vogent-voice-agent-wizard-build-voice-agents-with-just-a-description",
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        "title": "Vogent Turn: State-of-the-art Turn Detection for Voice AI",
        "tagline": "Stop interrupting; teach your AI when to wait, and when to speak",
        "body": "**TL;DR: Vogent-Turn-80M is a state-of-the-art turn-detection model that detects when users are done speaking with extraordinary accuracy, so your voice AI can stop interrupting.**\\\n\\\nhttps://youtu.be/XQeSUc2ID6g\n\nWhat makes conversation feel natural isn't just what we say; it's knowing when to speak and when to listen. Current voice AI systems struggle with this fundamental challenge, either interrupting users mid-thought or waiting awkwardly long after they've finished. The problem? Existing turn detection relies on either audio-only signals (missing semantic context) or text-only analysis (losing critical vocal cues). When a user says \"I'm flying from San Francisco...\" are they pausing to think, or done answering? Audio and text alone can't tell; but humans know instantly.\n\n**Introducing Vogent-Turn-80M**. Vogent-Turn-80M solves this by doing what humans do naturally: processing both how you're speaking and what you're saying simultaneously. Built on a streamlined 80M parameter architecture, our model fuses acoustic features from audio with conversational context from text, enabling it to understand that \"123 456\" with rising intonation means more is coming, while \"I'm departing from San Francisco\" is incomplete when asked about two airports. This multimodal approach achieves 94.1% accuracy while running in just \\~7ms on a T4 GPU—fast enough to feel completely natural in real-time conversations.\n\nThe result? Voice agents that finally feel like talking to a human. No more frustrating interruptions. No more awkward pauses. Just natural, flowing conversation that responds at the right moment, every time.\n\nHugging Face: https://huggingface.co/vogent/Vogent-Turn-80M\n\nGitHub: https://github.com/vogent/vogent-turn\n\nBlog Post: https://blog.vogent.ai/posts/voturn-80m-state-of-the-art-turn-detection-for-voice-agents\n\n![uploaded image](/media/?type=post&id=94839&key=user_uploads/539546/d4b5cab9-e1c3-47cf-bcc5-cc4d519a1d88)\n\n",
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        "id": 91917,
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        "tagline": "An API for fast, high-quality, and consistent text-to-speech generation from top open-source voice models, like Sesame CSM-1B, Dia, and more.",
        "body": "We’re excited to launch **Vogent Voicelab (vogent.ai/voicelab): an optimized API to run top open-source voice models.**\n\nNew open-source text-to-speech models come out every week, with many ranking as state-of-the-art on popular benchmarks.\n\nHowever, most of these models are not readily usable for high-volume, low-latency inference. Additionally, some research preview models can struggle with hallucinations and inconsistent outputs. Finally, as with any model, hosting yourself and managing compute can be a headache.\n\nVoicelab solves these problems:\n\n1. Voicelab maintains a proprietary inference stack that is optimized to serve text-to-speech transformers efficiently and scalably.\n2. Voicelab post-trains select models to improve consistency and offer high-quality professional voice clones.\n3. Voicelab manages all compute, so you can pay for these models per-character instead of managing GPUs.\n\nAll of this is exposed through a standard text-to-speech API (with streaming/websocket support) and an online playground.\n\nDocs: [docs.vogent.ai/voicelab](http://docs.vogent.ai/voicelab)\n\nTTS Playground: [app.vogent.ai](http://app.vogent.ai)\n\nhttps://youtu.be/KMIVXYhb7lY\n\n![uploaded image](/media/?type=post&id=91917&key=user_uploads/539546/a6d5dd4f-0ed4-4ed9-9d69-8b12308b3e1d)\n\n",
        "url": "https://www.ycombinator.com/launches/NuX-vogent-voicelab-api-to-run-top-open-source-voice-models-like-csm-1b",
        "votes": 13,
        "created_at": "2025-07-07T15:01:55.870Z"
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      {
        "id": 89328,
        "title": "Vogent: *Insanely* Realistic Voice Agents powered by Sesame",
        "tagline": "Humanlike & realtime voice agents, powered by a re-engineered Sesame CSM-1B",
        "body": "TL;DR: Make your voice agents _way_ more realistic and stop getting hangups. Check it out in action at or talk to it yourself by calling our AI Trump voice agent at (510) 315-0014 or [**vogent.ai/sesame**](http://vogent.ai/sesame)\n\nVogent powers millions of voice AI phone calls for healthcare, customer support, travel, and more.\n\nToday, we’re launching the **most realistic realtime voice engine** ever. It inserts natural pauses and disfluencies (“um”, “uh”) without being explicitly prompted, and is _uncannily_ good at cloning voices. Check it out in the videos below:\n\n<https://youtu.be/CbqTfVQGcd0>\n\n<https://youtu.be/QLiYmsw2-zk>\n\nHow did we do it?\n\nIf you’ve been online recently, you’ve probably come across Sesame’s super humanlike voice AI, and their open-source launch of CSM-1B, a 1B-parameter text-to-speech model.\n\nWe’ve spent the past couple of weeks rearchitecting CSM-1B from the ground-up to support realtime, low-latency inference, and we’ve finally cracked it. The results are pretty insane; it’s a step-function increase in realism (customer hangup rates have decreased by 60%+), and we made it available out-of-the-box.\n\nIf you want to create your own Sesame agents, sign up at [**app.vogent.ai**](http://app.vogent.ai), and select one of our Sesame voices. You can also use Sesame to clone new voices, as long as you have a 10-15 second reference clip.\n\nWe’re also releasing a realtime Sesame TTS soon; email [j@vogent.ai](mailto:j@vogent.ai) for beta access.",
        "url": "https://www.ycombinator.com/launches/NEm-vogent-insanely-realistic-voice-agents-powered-by-sesame",
        "votes": 97,
        "created_at": "2025-04-08T03:58:15.504Z"
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        "title": "Vogent: Self-Learning Voice AI",
        "tagline": "Vogent builds voice AI agents that design and improve themselves",
        "body": "Announcing Vogent Self-Learning: 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐝𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐭𝐡𝐞𝐦𝐬𝐞𝐥𝐯𝐞𝐬, learning from real failure cases and requiring no prompt engineering. No more need for hundreds of prompt iterations, or burning GPU (and human) hours on fine-tunes that don’t work.\n\nUsing reinforcement learning methods, like the kinds used by Deepseek and other research labs, our voice agents design themselves given call recordings, and improve themselves by evaluating every single dial and correcting bad behaviors.\n\nSign up by going to [app.vogent.ai](http://app.vogent.ai) and clicking “Self Learning”\n\n<https://www.youtube.com/watch?v=Bg6K3wXxozQ>",
        "url": "https://www.ycombinator.com/launches/N1x-vogent-self-learning-voice-ai",
        "votes": 12,
        "created_at": "2025-03-12T19:11:45.614Z"
      },
      {
        "id": 87288,
        "title": "Vogent: Build Voice AI Agents, Fast",
        "tagline": "Vogent is the all-in-one platform for building effective voice agents quickly",
        "body": "**TL;DR**: [**Vogent**](https://vogent.ai/) is an all-in-one platform for building voice agents by using intelligent building blocks, including drag-and-drop conversational flow builders, IVR detection models, spelling-optimized voices, custom phone-ready LLMs, and more. Vogent is made for developers and no-code users alike.\n\n<https://youtu.be/mu1rHsGjiMU>\n\n# The Problem\n\nWe’ve spent the past year building high-volume voice AI agents for a number of big-ticket customers, including the second largest prescription network in the US, the biggest flight and hotel booking sites in Europe, top-10 health insurance companies, car dealership chains, and more.\n\nWhile the core voice agent cycle (STT-LLM-TTS-VAD) is a mostly solved problem at this point, the last-mile problem for making these agents performant was frustrating. We ended up building a lot of band-aids, and we decided to consolidate all of the tools that we used to build these agents into a self-serve platform for developers and non-developers alike.\n\n# How Vogent Works\n\nVoice AI isn’t new, and neither are platforms to build agents. Our approach is to also offer higher-level building blocks that make it easier to build performant agents that can handle complex tasks. These include:\n\n* Our drag-and-drop flow builder, which lets teams build agents that are both conversationally flexible and aligned to a task.\n* Our counterfactuals feature, which lets you test new agents on past calls\n* Our IVR detection model, which can tell the difference between a human or prerecorded message and navigate the latter\n* Custom, in-house voices that are optimized for realistic numbers and spelling\n* LLMs fine-tuned on millions of phone conversations that can be easily prompted to follow phone-call tasks\n\nAs well as other powerful abstractions.\n\nOur other focus is providing as much to developers as possible. We expose most of our platform through GraphQL and REST APIs, and we have a JS SDK that makes voice as easy to add to your product as any other AI modality. (Mobile SDKs in beta – email [j@vogent.ai](mailto:j@vogent.ai) for access!)\n\n# Get Started \n\n* Sign up now at [**https://vogent.ai**](https://vogent.ai) \n* Join our Discord - [**https://discord.gg/JmThYcyG**](https://discord.gg/JmThYcyG)\n* Follow us on X - [**x.com/vogentai**](http://x.com/vogentai) \n* Follow us on LinkedIn - [**linkedin.com/company/vogent**](http://linkedin.com/company/vogent) \n* Email us directly: [**j@vogent.ai**](mailto:j@vogent.ai) \n\n![uploaded image](/media/?type=post&id=87288&key=user_uploads/539546/65341827-c3b0-40fe-9fa1-e9fede328808)\n\n",
        "url": "https://www.ycombinator.com/launches/Mhs-vogent-build-voice-ai-agents-fast",
        "votes": 78,
        "created_at": "2025-01-29T20:41:57.759Z"
      },
      {
        "id": 80688,
        "title": "Elto AI: The AI that makes phone calls",
        "tagline": "Elto is an AI that talks on the phone, automating tasks in healthcare, operations, staffing, government, and more.",
        "body": "**tl;dr:** Elto AI is a highly authentic, low-latency conversational AI that can make phone calls. Elto has automated phone calls to/for health systems, insurance providers, pharmacies, staffing agencies, municipalities, and more. Get a call from the AI at <https://elto.ai>!\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/d298a29f-a5c3-4cde-a2c4-d2455baa28be)\n\nElto is an end-to-end platform for training, deploying, and monitoring AI voice agents that make phone calls.\n\n### The Problem\n\nPhone calls are the most reliable way to execute tasks and receive information, whether it’s checking the status of an insurance claim or canvassing potential voters. Unfortunately, making phone calls is expensive, time-consuming, and resource-intensive; an offshore human caller can only make 100-300 dials a day, and increasing the number of humans dialing adds management burden. Making calls time-sensitive only adds to the operational complexity.\n\nOthers’ attempts to solve this problem with AI fall short; chaining together out-of-the-box API’s makes conversational agents that are difficult to train and **very** slow to respond.\n\n### Our Solution: Custom, Low-Latency Voice Agents\n\nIt took a while for us to get here -- we tried to get a version of this working a year ago by naïvely chaining together transcription, language, and text-to-speech services, but we ran into the problem that most AI voice agent solutions have: the latency was too high, instructing unspecialized models to execute tasks on the phone was difficult, and the realism was just not there.\\\n\\\nFast-forward a few months; our parallel dialer ([eltodialer.com](http://eltodialer.com)) was growing quickly, and we realized that it gave us what we needed to fix our earlier issues: from a small subset of consenting customers, we were able to gather troves of conversational data to train condensed, specialized models that were low-latency and worked well on the phone with prompting and few-shot fine-tuning. The dialer also gave us robust infrastructure for serving and monitoring hundreds of thousands of dials a day.\\\n\\\nWe've used that data and infrastructure to build an end-to-end in-house pipeline for training easy-to-teach, low-latency, realistic voice agents, and have worked with a handful of pilot customers to get the agents to execute tasks consistently. Elto's AI now runs tens of thousands of dials daily with no human oversight, automating work for verticals from logistics providers and healthcare payers to staffing solutions and municipalities, and more, with failure rates lower than those of human callers.\n\n![uploaded image](/media/?type=post&id=80688&key=user_uploads/539546/05909c0f-0456-453f-b49a-94de17a161ca)\n\n\\\n\\\nWe're now making the platform generally available on an invite basis. Sign up for an invite on the site!\\\n\\\nNote: we _do not_ support sales use-cases for Elto AI, due to TCPA regulations. Check out our parallel dialer ([eltodialer.com](http://eltodialer.com)) instead!",
        "url": "https://www.ycombinator.com/launches/KzQ-elto-ai-the-ai-that-makes-phone-calls",
        "votes": 22,
        "created_at": "2024-05-07T20:02:59.841Z"
      },
      {
        "id": 74607,
        "title": "Elto: Human-in-the-loop AI call center (50% cheaper than typical call center/BPO)",
        "tagline": "Powered by AI, Elto automates calls with intelligent agents and human interjection, translating to a 50% lower cost of operations.",
        "body": "**TLDR:** [**Elto**](https://elto.ai) is a human-in-the-loop AI-powered call center. We automate phone call tasks in ops/support/etc. with AI, while employing a team to oversee the phone calls and interject when necessary. This enables us to offer call center services for a fraction of the price of normal BPO solutions (typically 50% off), while handling more complex tasks, maintaining higher quality conversations, and ramping up more quickly on a task than an AI alone could.\n\nHey everyone,\n\nWe’re excited to launch the evolution of [Elto](https://elto.ai), an AI that makes phone calls, with a great slate of pilot customers calling insurance, tax agencies, and more. Though our initial offering was primarily an AI agent to automate phone calls for ops/support tasks, we’re now expanding to a fully managed human-in-the-loop call center, to enable more complex call tasks and a quicker implementation cycle for the AI.\n\nIf you currently employ a BPO firm, call center, or dedicated team members for handling (non-sales) phone calls, our team will manage the task for 50% less. If you’re interested, please reach out to [**j@elto.ai**](mailto:j@elto.ai) and we can get started with a POC easily.\n\nNote: We do not support outbound sales tasks, due to TCPA regulations.",
        "url": "https://www.ycombinator.com/launches/JPL-elto-human-in-the-loop-ai-call-center-50-cheaper-than-typical-call-center-bpo",
        "votes": 13,
        "created_at": "2023-09-04T17:27:53.447Z"
      },
      {
        "id": 72727,
        "title": "Elto - AI-powered parallel dialer",
        "tagline": "10x your cold-call volume with AI",
        "body": "TLDR: Elto dials up to 6 prospects at once, detects when a human picks up, and immediately drops the user into the call. Spend less time waiting on dial tones and voicemail, and more time on the phone with engaged prospects. \n\nHey everyone, \n\nWe’re Jagath and Vignesh, and we’re building Elto. Elto is an AI-powered parallel dialer that makes cold-calling _way_ less painful and more productive. \n\n**The Problem** \n\nCold-calling _sucks_. Sitting through dozens of dial-tones and voicemail inboxes can be exhausting and demoralizing, and while getting on the phone with an engaged prospect can be magical, it’s easy to go through multiple _days_ without a productive conversation. With a 3% pickup rate, for example, it can take **2 hours** of dialing to get a prospect on the phone (let alone a prospect who converts!).\n\n**The solution**: Elto **dials 6+ contacts in parallel, detects when someone answers, and connects the pickup to the user.** The rest of the calls disconnect immediately, so they can be re-dialed later.\n\n![uploaded image](/media/?type=post&id=72727&key=user_uploads/539546/969b79ec-53c4-4439-9a66-aa85c97fa272)\n\nUsing Elto increases the number of engaged leads on the phone in a single calling session by an **order of magnitude**. It also integrates seamlessly with your CRM (HubSpot, Salesforce, etc.) and/or SEP ([Apollo.io](http://Apollo.io), Salesloft, Outreach, etc.), so you can import contact lists/sequences/due call tasks and write call recordings, transcriptions, and dispositions back to your platform of choice.\n\n**Want to get started?** [Schedule a time to get set up.](http://calendly.com/elto/elto_get_started)",
        "url": "https://www.ycombinator.com/launches/Iv1-elto-ai-powered-parallel-dialer",
        "votes": 22,
        "created_at": "2023-07-03T14:35:59.607Z"
      }
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Slashauth builds a developer platform for web3 enabled apps. Slashauth’s platform provides login functionality, role based access control, data storage, and more to any web3 enabled application.",
    "one_liner": "The solution for fine-grained access control in web3",
    "team_size": 3,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bluelight gives home service contractors the power of real-time data to optimize and scale their business.",
    "one_liner": "Analytics, built for the trades.",
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        "full_name": "Alex Dixon",
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        "full_name": "Stewart Lamke",
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        "founder_bio": "Worked in revenue management and strategy.  Passionate about using analytics to drive great decision making.",
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    "name": "JoinSub",
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      "Splitsub"
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        "id": 67457,
        "title": "Laudspeaker: Open source cross-channel customer messaging. Send emails, Slack + more, automated",
        "tagline": "An Open Source alternative to customer io / braze / iterable",
        "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were. \n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://www.producthunt.com/products/leadshunt):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
        "url": "https://www.ycombinator.com/launches/HY1-laudspeaker-open-source-cross-channel-customer-messaging-send-emails-slack-more-automated",
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        "body": "Hey YC!\n\nLaudspeaker now offer in-app guides / product onboarding, so you can design beautiful modals with buttons and interactions that drive specific actions on your site.\n\nHere's what it looks like:\n\n![uploaded image](/media/?type=post&id=72214&key=user_uploads/362639/59de7f19-0ea4-43b1-8a38-280d6de75f0d)\n\nYou can use these modals, as tutorials, tours, banners really any thing to drive deeper product/feature adoption. Our modal designer allows you to capture your existing product style, and lets you create and change campaigns without having to include engineering effort on every single change.\n\nWe also allow you to:\n\n\\- track user state so you know which step a user is on\n\n\\- create complex campaigns that include emails, and other out of product messaging.\n\n\\- integrate with product analytics systems so you trigger a tour based on a user event\n\n\\- target anonymous users (most other platforms make this hard)\n\nIf you are considering Pendo, appcues or something similar you should consider us instead, we will go beyond offering you a deal on price and actually help you set up the modal flows and optimize them so you achieve your goal.\n\nHere's a [video of our designer](https://www.loom.com/share/2632226ec0eb4a17a5ed98b01c5abb2a?sid=50ea554b-1ef3-410c-a0f4-6cdafe4d7026)!\n\n**Our Offer:**\n\nWe'll build and design your modals and in app guides/messages for you, and get you set up and running! Feel free to email abe \\[at\\] laudspeaker, or schedule time on my [cal](https://cal.com/laudspeaker/20-min-meeting) and we can figure out if we are a fit.\n\nWe can only work with the first ten or so companies who reach out and are a fit so get the offer while its hot!",
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        "created_at": "2023-06-12T20:05:04.164Z"
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        "title": "Laudspeaker v1.1.0 open-source customer journey automation - a braze / iterable alternative",
        "tagline": "Open Source Omnichannel Messaging. Email, SMS, Push + more, automated",
        "body": "**Tl;dr:** Our open source customer journey automation tool / customer io / braze alternative, is picking up steam, and we support many more features and channels now! Use a tool product marketers love, that is developer friendly, and can be self hosted!\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n![uploaded image](/media/?type=post&id=70036&key=user_uploads/362639/0b45cf85-4e87-4c87-9d5f-c4706d834f74)\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, sms, and push automatically reach your users when, where and how you want.\n\n### **🚀 Since our last launch:**\n\nWe’ve been working like crazy, onboarding customers and responding to feature requests. Our [github](https://github.com/laudspeaker/laudspeaker) repo has been picking up steam and we now have many new contributors.\n\nWith this release we have added:\n\n* New Channels (SMS, firebase push)\n* Improved the UX of our journey builder no code tool\n* Added time delays, and time windows as options for sending messages so you can send drip campaigns\n* Added the ability to create user segments\n* Added database imports (postgres) for customers, and csv imports\n* Improved our PostHog Plugin\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
        "url": "https://www.ycombinator.com/launches/IDc-laudspeaker-v1-1-0-open-source-customer-journey-automation-a-braze-iterable-alternative",
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        "title": "Laudspeaker: an opensource customer io / braze / iterable alternative",
        "tagline": "Open Source Cross-Channel Messaging. Email, Slack + more, automated",
        "body": "Tl;dr: You can self-host or use our hosted offering of a customer io / braze / iterable alternative, so you can send product/ event-triggered cross-channel messages while keeping control of your customer data.\n\nStar the repo [here](https://github.com/laudspeaker/laudspeaker).\n\n**Laudspeaker is the open source customer io and braze alternative** that powers event-triggered cross-channel messages. Have emails, slack, and more automatically reach your users when, where and how you want.\n\nUse our easy to use no-code builder to create cross channel ‘customer journeys’ like this:\n\n![](https://uploads-ssl.webflow.com/636148ce188ecb92e3a6c055/6362dbf442adb780bbf6b4bd_%5B720p%5DJourney-Builder-v2.gif)\n\n### **Why build another cross-channel automation product?**\n\nIn the past when we used \"customer engagment\" products or \"cross channel marketing\" products like braze we were both uneasy about having to send customer data to various 3rd party tools, and frustrated by how expensive and hard to use many of the offerings were.\n\n### **We wanted to build something that:**\n\n* Allows you to stay in control of your customer data (self host, export/import data)\n* Is affordable\n* Has a rapidly increasing number of messaging channels (email, slack, sms (beta) and soon more!)\n* Integrates well with product analytics software (we have a posthog plugin)\n* Is performant\n* Plays well with the modern data stack\n\nWe think Laudspeaker is differentiated by being open source and hitting the above points.\n\n### **How can I get started?**\n\n\\- If you want to self host, download our repo and follow the instructions on [github](https://github.com/laudspeaker/laudspeaker):\n\n\\- If you want to try our hosted offering sign up [here](https://app.laudspeaker.com/signup).\n\n\\- [twitter](https://twitter.com/laudspeaker)\n\n\\- [product hunt](https://www.producthunt.com/products/laudspeaker)",
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        "body": "A year and a half ago, we launched [Firstbase Agent](https://www.firstbase.io/agent) —  our all-in-one state compliance solution for startups. You appoint Firstbase as your registered agent in every state where you operate or have employees, and we receive and view notices from the government, give you reminders about compliance events, and monitor your compliance status in each state, file annual reports, BOI reports, and franchise taxes. We will also help you register and maintain your payroll accounts in any state where you want to hire any employee — this way, you can avoid paying extremely high EOR fees (often around \\~$700/employee/month) and instead hire an employee through your own entity. And, of course, we help you fulfill the legal obligation of having a registered agent in every state where you operate. \\\n\\\nOne huge difference between us and other state compliance providers is that we actually own and operate our own entities in all 50 states as a licensed commercial registered agent. So we have direct contact with the state and don’t have to rely on any third parties for anything.\n\nWhy it’s important: to give an example, if you hire an employee in a new state and need payroll accounts, your payroll tax registration partner will typically work with a network of registered agents in different states and won’t really have control over anything. They’ll often need that third party to sign off on forms, which slows things down and often leads to operational nightmares.\n\nNow, almost 15,000 companies are using Firstbase Agent, and we have decided to do something nice and give part of the functionality **_free of charge_**.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/0ace0f6e-0c19-40fb-8a7c-5df9da57e478)\n\n\\\nMeet [**_Firstbase Agent Intro_**](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1) — the simplest way to manage state compliance. We’d love to get your feedback. And again, it’s free.\n\nAgent Intro is designed for founders who currently manage their business compliance outside of the Firstbase platform, and use a different commercial registered agent. Agent Intro includes three awesome features:\n\n1. 📁 **Initial beneficial ownership information (BOI) filing**: The U.S. Financial Crimes Enforcement Network requires all companies to file this on an ongoing basis, and we’ll take care of it for you!\n2. 2\\. 🚥 **Firstbase command center**: Get an instant overview of your compliance status in every state where your business operates.\n3. 3\\. ✅ **State compliance reminders**: We’ll track your deadlines and let you know about any required actions.\n\n![uploaded image](/media/?type=post&id=79631&key=user_uploads/604873/860e4f94-e0f4-46a7-9185-6d84d5748c93)\n\nNo more scrolling through different state websites to find due dates — we make it easy to track everything in one place.\n\nWe’ll be launching Agent Intro soon, and we would love to see you among its first users! Just visit the link below and join the waitlist to guarantee your spot.\n\nMuch love [❤️](https://emojipedia.org/red-heart)\n\n[https://firstbase.io/agent-intro?utm_source=launchyc&utm_medium=organic-social&utm_campaign=bookface_V1](https://firstbase.io/agent-intro?utm_source=bookface&utm_medium=organic-social&utm_campaign=bookface_V1)",
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        "title": "Popl - Make Conferences & Events Your Best GTM Channel",
        "tagline": "Imagine one AI-powered lead capture platform that finally makes your events worth it.",
        "body": "# ⚡️ **TLDR**\n\n[Popl](https://hubs.ly/Q03RBCTQ0) is the universal lead capture platform for in-person events. Scan any event badge, business card, or QR code, instantly enrich the lead with accurate data, and sync it into your CRM with full attribution. Events have been stuck with outdated tools for too long. We’re bringing AI-powered enrichment and modern technology to a world ready for disruption.\n\n\\\nHey everyone! 👋\\\n\\\nI’m [Jason](https://www.linkedin.com/in/jasonalco/), co-founder & CEO at [Popl](https://hubs.ly/Q03RBCTQ0). We’re building the **universal lead capture and enrichment platform for in-person events** — helping companies instantly turn real-world conversations into measurable sales pipeline.\n\n# 🔥 **The Problem**\n\nCompanies (and startups, see data below!) spend **$20K–$1M+** per booth at conferences.\n\nThey send their best reps and team members. They fly the team out, book hotels, pay for meals, etc. They invest in beautiful booths and marketing.\n\nBut when it comes to capturing leads, most still rely on:\n\n* Clunky badge scanner apps that barely work\n* Writing info down in Apple notes or collecting LinkedIns\n* CSVs from event organizer delivered _weeks_ after the event\n* No CRM integrations meaning slow speed to lead/follow-ups\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/85854025-5908-4824-bf0e-80d2b029de7f)\n\nThe result?\n\n**Slow follow-ups (leading to your competitors winning more), lost leads, and lower ROI on events.**\n\nWhat if there was a platform that solved all of this, that GTM teams could set up once and then use across every single event…\n\n# 🚀 **Our Solution**\n\nPopl provides your company with a unified in-person GTM platform that:\n\n* Scans any event badge, business card, or LinkedIn QR with the same app every time.\n* Enriches each scan with accurate contact + company data (work email, phone numbers, LinkedIn, company revenue, tech stack, HQ location, etc.)\n* Allows you to add context like notes, qualifying questions, and tags to each lead.\n* Syncs it automatically to your CRM in seconds — HubSpot, Salesforce, Marketo, Zoho, Dynamics, Monday, Slack, etc all natively supported.\n* Manage everything through event campaigns which also show leaderboards, pipeline generated, and ROI.\n\n**All while your team members stay focused on their conversations, not the tools. Plus no more waiting for CSV uploads, manual data entry, or other post-event headaches.**\n\nhttps://www.youtube.com/watch?v=HVAza1f74MU\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/4c32029c-d3b5-4bc1-8740-f89166adf1e4)\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/2eec6c29-0795-4dbe-bca9-354b185f75b6)\n\n# **🤔 Is This For Us?**\n\nNow some might assume events are only for big, legacy companies and not for startups or mid-market companies. But here’s what we’re seeing:\n\n1️⃣ With AI flooding channels like cold email and cold calling, in-person GTM is surging. People still want to buy from people (and especially not from AI), and when digital outreach feels saturated and impersonal, meeting potential buyers face-to-face gives you a real edge.\n\n2️⃣ The GTM data on startup companies shared by [@Richard Lee](https://www.linkedin.com/in/zrlee/) showed a hidden insight that “Attending conferences” is the 3rd most popular growth strategy for YC startups. This shows events are not just a nice-to-have, they are a core growth lever.\n\n3️⃣ We’re already seeing modern, fast-growing companies adopt Popl — like Square, Hammerspace, MavenAGI, Turing, Vercel, and Wiz. Events aren’t just for legacy enterprises; they’re becoming a key channel for the next generation of breakout startups.\n\n![uploaded image](/media/?type=post&id=95162&key=user_uploads/479381/58dc8dbf-aec3-4f44-b902-15d055feeecd)\n\n# 🤝 **Next Steps**\n\nIf you want to get started with Popl, or are interested in learning more, book a demo with us here:[ ](https://popl.co/pages/request-a-demo)[**Book a Demo**](https://hubs.ly/Q03RBCTQ0)\n\nWe especially love providing value to the YC community, so let us know on your demo that you came from this Launch YC post and we’ll give you a significant discount!\n\n**THANK YOU! 🚀**",
        "url": "https://www.ycombinator.com/launches/Oks-popl-make-conferences-events-your-best-gtm-channel",
        "votes": 102,
        "created_at": "2025-11-13T18:39:43.622Z"
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        "body": "**TL;DR**\\\nFirstSupport grants superpowers to customer support teams by automating translation, information retrieval, generating brand-aligned responses, summarizing conversations, generating insightful reports, and automating tagging.\\\n\\\nOne week following our launch on Zendesk Marketplace, our product has been used by e-commerce merchants using platforms like _Magento/Woocommerce/Shopify_, customer support outsourcing firms, and startups across Asia, Europe, and America. These companies serve customers from multiple countries who speak different languages, and they manage extensive knowledge bases.\\\n—\n\n---\n\n### Introducing, the Five “Superpowers”\n\n1- **Instant Response Drafting**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/c2baeb66-ae16-4028-91bf-26aa6171e6cd)\n\nWhenever your customer support team opens a ticket, FirstSupport AI will automatically generate a response draft based on\n\n* Information on your knowledge resource (Zendesk Knowledge Base, Google Docs, PDF, Website, Sitemap, Past Ticket Conversations, and more) that you can connect in our dashboard\n* Information from the connected third-party platform (Shopify/Stripe/Woocommerce), or custom APIs such as your internal tool\n* Brand personality guideline for your company\n\nSo you can review and submit directly in one click. See how it works:\n\n![](https://bookface.ycombinator.com/media/?type=post&id=76629&key=user_uploads/376547/47643cc9-4c86-4d61-a2e9-11dcf6c97122)\n\n2- **Seamless AI-powered Translation**\n\nEnhance your global or multi-lingual customer support with FirstSupport.\n\n* Automatically detect the customer's language and translate the entire conversation into your preferred language\n* Write in your language and have it automatically translated into the customer's language\n\n![](https://lh7-us.googleusercontent.com/OVu1JRK7bP1Q-ojr53aC0TN13ofKr7PYPssKtMx9xx3hp1lzktWh_i-ICqSHT7yW3Hd_UEp0ieafsf-NbgQXcnOG2RMBQ-ylnXTaePUh4m1EFRyx3EsHR35VqZ0jhgOmiDjDa8sQbW846bdEPy9iDEw)\n\n3- **One-Click Ticket Summarization**\n\n![](https://lh7-us.googleusercontent.com/bkk8U-MrHGO30smMpmzS3680rTihlgL2xjpLMCTsoz0N6dZ5K5gvlE1IMWzgyjHqs0ztQFf3HdmW2Q1XToCyOqI4py2NpcmiOsdxZJtz6akS3U3iJ5EELtbrymDesswYeJyZEcTxotpUcepX-CxDpzc)\n\nSupervisors and L2 agents can quickly capture the essence of customer interactions with a simple click of the '**Summarize**' button.\\\nOur customizable summary formats enable the extraction of diverse data from each ticket, ranging from **product/customer information** to insights into **customer emotions** during the conversation, ensuring comprehensive and efficient overviews tailored to your specific business needs\n\nSee it in action:\n\n![](https://lh7-us.googleusercontent.com/X_yHCRD6i8gvzlQc8-nY85UH8oJ7PDg_DgM8mBL1Wr24InW5WH-Jsb5p-eomidHELzPtVnAcobB_D3JXe3Q4I8YE5z6vOHcJOphFGNOnKnXLwvBBRtPUR8azT8r2-SZAQ9XfqBsat2wnhHLlAS6B-X8)\n\n![](https://lh7-us.googleusercontent.com/i_NclnYzY0FBjZARKZ_Kp1LFPkG94wuGfSEENJQtygaeo-sdEd169bjVRAqzihuH60GZB2C9dV5WZXTG1INDaC5qiOJIF9R4L70lAf5ym1NCn0uKbhvCd6gLPjiu3RM6bnHwFuzisu0TK1-9_0OShZs)\n\n4- **Automated Tagging**\n\n![](https://lh7-us.googleusercontent.com/qkwM7qZeuVORv6IAwhqhwX--XnE29vam_WkOEzsqBe-fIvXCcU4xZEXxgpzTlCKH-3NTE-X3E4jdYF_7ngiiHvBqkJwY6PnRUxzPWkKdBpc-gL5t5aZKW442J96Mw9bkIAAYtb7bzdRnpx_8wgkGx4g)\n\nEasily assign relevant tags to your tickets with just one click. Customize your Zendesk tags directly in our dashboard for streamlined ticket management.\n\n5- **Insightful Report Generation**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/2af89abb-f1e1-4f61-95db-3c6fddeac8b7)\n\nFirstSupport AI analyzes each customer interaction and support ticket to identify common issues, knowledge gaps, and immediate action steps. Additionally, you'll receive an email summary with detailed highlights attached.\n\n### **Try For Free (with exclusive support!)**\n\nYou can try our product by registering on our [web app](https://app.firstsupport.ai), or by installing it from [Zendesk Marketplace](https://www.zendesk.com/marketplace/apps/support/980970/firstsupport-ai-assistant/).\\\n\\\nWe offer a **two-week free trial** and **personalized onboarding support** directly from our co-founders (reach out to us via [hi@firstsupport.ai](mailto:hi@firstsupport.ai) mentioning that you found us through the YC Launch)\n\n### **Be Our Partner**\n\nIf you can refer us to:\n\n* Customer support BPO (outsourcing) companies,\n* E-commerce merchants using Zendesk,\n* or, you’re just interested in being our sales partner\n\nWe would love to chat. Please reach out to our email [hi@firstsupport.ai](mailto:hi@firstsupport.ai)\n\n—\\\nContact us at [hi@firstsupport.ai](mailto:hi@firstsupport.ai) for any requests, questions, or feedback. Cheers!",
        "url": "https://www.ycombinator.com/launches/Jvx-firstsupport-ai-assistant-for-customer-support",
        "votes": 13,
        "created_at": "2023-12-04T17:31:52.996Z"
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        "title": "Rethoric: Founder-led content as a service",
        "tagline": "We help busy founders position themselves as an industry authority on autopilot",
        "body": "![uploaded image](/media/?type=post&id=80666&key=user_uploads/517243/20c1ff56-623e-45a3-b1fc-d1350d5d4d11)\n\n**TLDR:** [Rethoric](https://www.rethoric.com/) is a data-driven thought leadership content creation as a service that amplifies the personal brands of busy founders with personalized content on LinkedIn, Twitter/X, and Newsletters to build credibility, attract funding, and acquire customers on autopilot.\n\n### **📖 The Context:**\n\nFounder-led marketing is one of the most effective and high-converting acquisition strategies for startups.\n\n**That is why many founders are investing time and resources in building their personal brand**\n\n* **Garry Tan** knows the importance of personal branding, so much so that he went in and created his own YouTube channel. [**https://www.youtube.com/c/garrytan**](https://www.youtube.com/c/garrytan)\n* **Ankur Nagpal**, founder of Teachable (acquired by Hotmart), uses his personal brand as the main acquisition strategy for his current startup, Carry. [**https://twitter.com/ankurnagpal**](https://twitter.com/ankurnagpal)\n* **Rahul Vohra**, founder of Superhuman, leverages X to talk to customers and maintain his authority in the email space. [**https://twitter.com/rahulvohra**](https://twitter.com/rahulvohra)\n* **Dharmesh Shah**, co-founder and CTO of Hubspot, posts almost daily on LinkedIn and X and has achieved a massive Thought Leadership authority in the tech space. [**https://twitter.com/dharmesh**](https://twitter.com/dharmesh)\n\nAnd the list goes on…\n\n### **😩 The Problem:**\n\n* Founders are extremely busy and don’t have the time or energy to create content daily because they are swamped working on their startups.\n* Founders don’t know how to implement an effective organic content strategy\n* Traditional marketing methods like branding or paid ads don’t work how they used to and end up in unsustainable CACs\n\n### **🚀 The solution**\n\n[**Rethoric**](https://rethoric.com/) is not an AI tool that writes content for you. **World-class human writers and editors create all the content** with your own voice based on your insights, lessons, experiences, and stories, which we extract on interview calls.\n\n**How it works:**\n\n* Step 1: **Join an Interview Call Twice a Month,** during which we extract your expertise into optimized social-media-ready content.\n* Step 2: **Approve Twice a Month** - We send you 2-week content batches for review with unlimited revisions.\n* Step 3: **Engage Online** - We coach you to reply and start engaging in conversations in your comments.\n\n### **🤩 Benefits of Investing in Your Personal Brand as a Founder**\n\n**Save Time**\n\nJust a 45-minute call and a quick 15-minute content review every two weeks, and 5-10 minutes per day to reply and engage in the comments. We handle the rest, letting your personal brand flourish while you focus on what you do best.\n\n**Fundraise Easier**\n\nPosition yourself as an industry authority. Our content showcases your thought leadership, attracting investors eager to support visionaries with proven insights and innovation track record.\n\n**Attract Top-Level Hires**\n\nWhen your personal brand shines, so does your appeal to high-caliber talent. They'll be lining up to work with you, drawn by the promise of being part of a visionary-led future.\n\n**Build Credibility and Status**\n\nAs your stories and insights circulate, your status as an industry leader solidifies. Building a brand isn't just about being seen; it's about being recognized as the go-to expert in your field.\n\n**Reduce Your Acquisition Costs**\n\nWith every post, tweet, and update, you're not just reaching an audience but building a community that lowers your overall acquisition costs as your organic reach grows.\n\n**See tangible ROI**\n\nWhere the magic happens, the engagement, followers, and leads all translate into an organic sales funnel with a quantifiable impact on your startup's growth and valuation.\n\n### **📈 Traction**\n\n25k MRR, 0% churn, launched 4 months ago.\n\n### **🤝 The Team**\n\nEdu has founded 4 startups with 2 successful exits, bringing deep expertise in consumer and B2B SaaS and web3 space and an extensive network within the startup ecosystem.\n\nLev combines a rare mix of software engineer, copywriter, and ghostwriter skills with high proficiency in coding and crafting compelling narratives.\n\n### **💌 Our Offer**\n\nWe are opening 5 spots in May!",
        "url": "https://www.ycombinator.com/launches/Kz4-rethoric-founder-led-content-as-a-service",
        "votes": 43,
        "created_at": "2024-05-07T14:58:15.597Z"
      },
      {
        "id": 70338,
        "title": "⚡Superteam – AI that manages Customer Service & Sales for you",
        "tagline": "Set Customer Service and Sales in autopilot with action-based AI models ",
        "body": "![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/302b90ca-afc4-4567-8e3f-1c9101816fec)\n\n# TL;DR\n\n**Superteam enables e-commerce businesses with action-based AI to provide instant customer service and conversational sales at a fraction of the cost.**\n\n### Here is how it works:\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/899c7b8a-2f21-4ed5-b7fe-5ec5b0eb61cb)\n\n### **❌** The problem\n\nOver 50% of e-commerce stores are small businesses with less than 10 employees. They struggle with customer service due to budget constraints and often lose potential customers because of slow responses and negative experiences. Larger e-commerce sites need help managing the right team size to handle thousands of customer queries during peak times.\n\n### **✨** The solution\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/d93d84a5-928d-40ad-a758-3b7a22f2ac73)\n\nWe developed advanced AI models to automate critical tasks in e-commerce, such as handling customer queries, processing orders, managing payments, scheduling appointments, and providing shipping updates, and integrated them into a user-friendly admin dashboard that integrates with Shopify, allowing businesses to easily manage their orders, customers, and products while monitoring the AI's performance.\n\n### **⚙️** How it works\n\n![uploaded image](/media/?type=post&id=70338&key=user_uploads/517243/1c825d1c-50e6-4ea2-8ccf-3ac042824dce)\n\nThe AI displays products, answers questions, handles payments, and gives shipping updates via messaging platforms (WhatsApp, Instagram DMs, Email, and soon iMessage). This helps businesses provide value and convert leads into customers from anywhere.\n\n### **🙏 Asks**\n\n* [Join our private beta](https://getsuperteam.com/?v=skip) to provide instant omnichannel customer service to your customers. \n* If you know an e-commerce owner, [refer them to us](https://getsuperteam.com/)!",
        "url": "https://www.ycombinator.com/launches/IIU-superteam-ai-that-manages-customer-service-sales-for-you",
        "votes": 170,
        "created_at": "2023-03-16T01:47:33.235Z"
      }
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    "id": 23431,
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    "website": "https://www.navattic.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Navattic helps sales and marketing teams instantly create interactive product demos.",
    "one_liner": "Interactive product demos",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1614276980,
    "tags": [
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      "Marketing",
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    "batch": "Winter 2021",
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/navattic",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/navattic.json",
    "year_founded": 2020,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/navattic",
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        "full_name": "Neil McLean",
        "title": "Founder",
        "founder_bio": "Co-Founder, Navattic",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neil-mclean/",
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        "user_id": 601331,
        "full_name": "Randy Frank",
        "title": "Founder",
        "founder_bio": "Co-founder, Navattic",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/randy-frank/",
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        "user_id": 595808,
        "full_name": "Chris Hoyle",
        "title": "Founder",
        "founder_bio": "Co-founder, Navattic",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-hoyle",
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    "news": [
      {
        "title": "Navattic Raises $4.25M to Build the Future of Product-Led Growth | Navattic",
        "url": "https://www.navattic.com/blog/building-the-future-of-plg",
        "date": "Mar 17, 2022"
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    ],
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    "id": 23433,
    "name": "Estoca",
    "slug": "estoca",
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    "website": "https://www.estoca.com.br/",
    "all_locations": "São Paulo, SP, Brazil",
    "long_description": "Estoca is a cloud-based logistics platform that uses AI to optimize fulfillment, warehousing, and last-mile operations for D2C brands in Latin America. Estoca provides customizable software and an integrated partner network that automate every step from storage to delivery. Our AI-driven workflows help merchants process more packages per square meter, per hour, and per person, accelerating delivery speed while reducing operational costs.",
    "one_liner": "The Logistics Operating System for E-commerce in LatAm",
    "team_size": 150,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1615385797,
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/estoca",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/estoca.json",
    "year_founded": 2020,
    "city": "São Paulo",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/estoca",
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    "cb_url": "https://www.crunchbase.com/organization/estoca",
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    "founders": [
      {
        "user_id": 427543,
        "full_name": "Caio Almeida",
        "title": "Founder",
        "founder_bio": "Entrepreneur & mechanical engineer, I have been working with Tech companies since 2015. Founded Alugalogo in 2015, a marketplace for construction equipment (chosen as the best Startup of Google Campus' 2016 Batch).\nLed Uber Eats' partnership team in Brazil from 2018 to early 2020, contributing to the expansion to more than 70 cities in 2 years.\nFounded Estoca in 2020, a technology company focused on logistics for e-commerce.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/caioborgesalmeida/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eddcaac0dc7008757a59672371621625502b0e84.jpg"
      },
      {
        "user_id": 427746,
        "full_name": "Rodrigo Cava",
        "title": "Founder",
        "founder_bio": "Technical Founder who loves to build products and solve real-world problems. Experienced in Marketplaces such as Uber & Rappi with Data Analytics, Ops and CX, and also with Consulting, with Project Management, Development and Design",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rodrigocava",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "A Estoca \"estocou\" mais R$ 32 milhões em aporte da Astella - NeoFeed",
        "url": "https://neofeed.com.br/blog/home/a-estoca-estocou-mais-r-32-milhoes-em-aporte-da-astella/",
        "date": "Feb 15, 2023"
      },
      {
        "title": "Logtech Estoca atrai US$ 6 milhões da Astella, FJ Labs e family office coreano | Startups | pipelinevalor",
        "url": "https://pipelinevalor.globo.com/google/amp/startups/noticia/logtech-estoca-atrai-us-6-milhoes-da-astella-fj-labs-e-family-office-coreano.ghtml",
        "date": "Feb 15, 2023"
      },
      {
        "title": "Logtech Estoca atrai US$ 6 milhões da Astella, FJ Labs e family office coreano | Startups | pipelinevalor",
        "url": "https://pipelinevalor.globo.com/google/amp/startups/noticia/logtech-estoca-atrai-us-6-milhoes-da-astella-fj-labs-e-family-office-coreano.ghtml",
        "date": "Feb 15, 2023"
      },
      {
        "title": "Estoca, startup de logística para e-commerce, recebe aporte de R$ 32 milhões | Startupi",
        "url": "https://startupi.com.br/estoca-logistica-para-e-commerce-recebe-aporte/",
        "date": "Feb 15, 2023"
      }
    ],
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    "id": 23440,
    "name": "Jiga",
    "slug": "jiga",
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    "website": "https://jiga.io",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel; Remote",
    "long_description": "Source high-quality, cost-competitive custom parts faster by partnering directly with vetted manufacturers.\r\n\r\nJiga is used by engineers and supply chain managers from NASA, Siemens, Tesla, Google and many more.",
    "one_liner": "Source better parts by partnering directly with vetted manufacturers",
    "team_size": 25,
    "industry": "B2B",
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      "Middle East and North Africa",
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    "city": "Tel Aviv-Yafo",
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        "full_name": "Adar Hay",
        "title": "Founder",
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        "user_id": 585058,
        "full_name": "Assaf Geuz",
        "title": "Founder",
        "founder_bio": "Co-Founder of Jiga\n",
        "is_active": true,
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        "user_id": 371504,
        "full_name": "Yonatan Wolowelsky",
        "title": "Founder",
        "founder_bio": "Co Founder and CTO of Jiga",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yonatan-wolowelsky-2454553a/",
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        "title": "Content and Communications Manager, Aerospace and Defense",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/vFci01Y-content-and-communications-manager-aerospace-and-defense",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "11+ years",
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      },
      {
        "id": 106438,
        "title": "Program Manager - Production Programs",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/4Biij08-program-manager-production-programs",
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        "type": "Full-time",
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        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 106439,
        "title": "Senior Account Executive Defense - Israel",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/rxWEq2S-senior-account-executive-defense-israel",
        "location": "IL / Remote (IL)",
        "type": "Full-time",
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        "title": "Account Executive - Remote/US",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/PLIRiiL-account-executive-remote-us",
        "location": "US / San Francisco, CA, US / Remote (US; San Francisco, CA, US)",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$110K - $180K",
        "equity_range": "0.01% - 0.10%",
        "experience": "3+ years",
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        "skills": []
      },
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        "id": 106443,
        "title": "Senior Account Executive - Defense",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/eqAtnJ9-senior-account-executive-defense",
        "location": "US / Remote (US)",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$130K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106444,
        "title": "Manufacturing / NPI Engineer",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/UCNnInE-manufacturing-npi-engineer",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106445,
        "title": "Logistics Manager - Remote/Anywhere",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/aBVydpB-logistics-manager-remote-anywhere",
        "location": "VN / PH / Remote (VN; PH)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 106446,
        "title": "Head of Supplier Growth",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/ncLKacf-head-of-supplier-growth",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "11+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106447,
        "title": "Sales Development Representative (SDR) - Remote",
        "url": "https://www.ycombinator.com/companies/jiga/jobs/Mm5tljk-sales-development-representative-sdr-remote",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106450,
        "title": "Growth Marketing Lead - Remote/Anywhere",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Mit Patel",
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        "founder_bio": "I started SwiftSku because I saw an opportunity to solve the problems that stole time and money from my family and friends in convenience stores.\nAs co-founder and CEO of SwiftSku, I have a burning passion for product development and nothing satisfies me more than building software that delights our customers.\n\nMy technical background is in backend and network engineering.",
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        "full_name": "Daniel Mazur",
        "title": "Founder",
        "founder_bio": "As co-founder and COO of SwiftSku, I manage operations and strategy, however, I come from a background of analytics and design.\n\nFor pleasure, I enjoy playing tennis and learning about emergent technologies in the fields of additive manufacturing, machine learning, and decentralized applications.",
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        "title": "Founding Head of Growth",
        "url": "https://www.ycombinator.com/companies/swiftsku/jobs/NDEBx0g-founding-head-of-growth",
        "location": "New York, NY, US",
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    "news": [
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        "title": "Entrepreneurs earn grand prize at Rice Business Plan Competition            ",
        "url": "https://www.eng.auburn.edu/news/2021/06/swiftsku-rice-business-plan-competition.html",
        "date": "Jun 29, 2021"
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    "id": 23612,
    "name": "Terra API",
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    "website": "http://tryterra.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Terra makes it easy to transfer health data.\r\n\r\nThe unified API makes it easy to access data from health apps, wearables, sensors, and medical equipment through one source",
    "one_liner": "API for developers and AIs to access health data ",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1614618555,
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      "Digital Health"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/terra-api",
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    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/terraapi",
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    "cb_url": "https://www.crunchbase.com/organization/terra-5293",
    "github_url": "https://github.com/tryterra",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97a6c134a2281fc0b76fb07a0fe0c197e4948543.png",
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      "name": "Jared Friedman",
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    "founders": [
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        "user_id": 356569,
        "full_name": "Kyriakos Eleftheriou",
        "title": "Founder/CEO",
        "founder_bio": "Weight lifter, ex-Special Forces and founder + CEO of Terra API\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kyriakos-eleftheriou/",
        "x_url": "https://twitter.com/kyriakosel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9cc674891d6579c487b92f1e3864a82f6335b8a.jpg"
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    ],
    "jobs": [
      {
        "id": 61598,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/0f5CP0r-ai-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$50K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 63172,
        "title": "Sales Strategist",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/4QSWmBq-sales-strategist",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "£50K - £90K GBP",
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        "experience": "3+ years",
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      },
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        "id": 91600,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/R0hx4lm-forward-deployed-engineer",
        "location": "London, England, GB / CY / Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
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        "experience": "3+ years",
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        "title": "Designer",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/js73J9L-designer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "£38 - £90 GBP",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 109293,
        "title": "Commercial Lead",
        "url": "https://www.ycombinator.com/companies/terra-api/jobs/TvgdSp9-commercial-lead",
        "location": "London, England, GB",
        "type": "Full-time",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Alistair Brownlee OBE: celebrating Alistair's OBE from Prince of Wales | Terra",
        "url": "https://tryterra.co/blog/Alistair-Brownlee-OBE-award",
        "date": "Oct 14, 2026"
      },
      {
        "title": "Terra Research Published in Nature's Biological Timing and Sleep",
        "url": "https://tryterra.co/research/terra-research-nature-publication",
        "date": "Jun 28, 2026"
      },
      {
        "title": "What's the hardest endurance sport? Olympic triathlon champion Alistair Brownlee weighs in with data analysis",
        "url": "https://www.olympics.com/en/news/hardest-endurance-sport-olympic-triathlon-alistair-brownlee-data-analysis",
        "date": "Apr 22, 2026"
      },
      {
        "title": "Perplexity connecting health users through Terra API",
        "url": "https://x.com/kyriakosel/status/2034744624217297215",
        "date": "Mar 18, 2026"
      },
      {
        "title": "Podcast - Talks with founders, executives, and investors redefining Health",
        "url": "https://tryterra.co/podcast",
        "date": "Jul 01, 2024"
      }
    ],
    "launches": [
      {
        "id": 94347,
        "title": "Tyran: AI Health Agents for your app",
        "tagline": "Create health agents with any data source, and connect to your app",
        "body": "Hey 👋 We are building [Tyran](https://tyran.ai), the AI Health Agents.\n\n**tl;dr:** Build **AI health agents** on top of any data — wearables, labs, sleep, HRV. Detect jet lag, catch illness before symptoms, spot sleep apnea, flag overtraining — and plug it all into your app in minutes, without a line of code.\n\nhttps://www.youtube.com/watch?v=VXDRR_qU250\n\n## **What you can use Tyran AI for**\n\nSome early examples\n\n* Detect jet lag\n* Detect signs of potential asthma (NOT medical diagnosis, obviously!)\n* Detect the upcoming menstrual cycle\n* Understand recovery\n* Run multiple experiments: test different workout timings or rest protocols per user segment.\n\n## **How it works**\n\n1. Sign up, connect health data sources via plug-and-play auth widget.\n2. Pick an agent template (or prompt the agent).\n3. Define schedule + outcomes (alerts, notifications, adjusted plans).\n4. Get validated outputs (typed JSON), export via webhooks, or integrate directly into your product.\n\n## **What’s new**\n\n* 🚀 **Fast feature build** - From idea to working health insights in **minutes**\n* 🔗 **Connect any health source** - 500+ metrics from wearables, labs, nutrition, sleep, HRV, etc.\n* 📚 **Templates & agent types** - Prebuilt agents for recovery optimization, risk detection, women’s health, root-cause analysis, experimental health logic.\n* ⚙️ **Custom logic + actions** - Go beyond dashboards: trigger alerts, notifications, update workout plans, or send recommendations programmatically.\n* 🛠 **Full agent lifecycle tools** - scheduling, versioning, monitoring; typed output (JSON) so downstream systems / UIs stay reliable.\n* **📝 Memory -** Agents remembering information and improving over time\n\n![uploaded image](/media/?type=post&id=94347&key=user_uploads/356569/43654838-a834-42b0-b3f1-d13639d6f526)\n\n",
        "url": "https://www.ycombinator.com/launches/OXj-tyran-ai-health-agents-for-your-app",
        "votes": 26,
        "created_at": "2025-10-03T15:44:22.728Z"
      },
      {
        "id": 81615,
        "title": "Health Scores for developers",
        "tagline": "The easiest way to add Sleep, Stress, Heart and health scores for developers",
        "body": "[Health Scores](https://www.youtube.com/watch?v=frTfSO39e10)\n\nWe are launching today Health Scores: The easiest way for developers to integrate and display scores such as Sleep, Stress, Heart Health, Training Load and many more.\n\nThis provides a seamless way to show critical data points such as Sleep, Stress, Heart Health, Training Load, and much more to end users. \n\n**Launching Today: The Sleep Score**\n\nThe first available feature, the Sleep Score, is now live. \n\nThis score analyzes various aspects of a user’s sleep, including REM, Deep, Light, and Awake stages, along with HRV, RHR, respiration, and body temperature, to provide a comprehensive sleep quality assessment.\n\n**Customizable Scoring Model**\n\nAs a Developer, you can easily customise this and create proprietary models using a simple drag-and-drop interface, assigning different weights to various metrics to tailor the scores according to specific needs.\n\n[Click to get started](https://dashboard.tryterra.co)\n\n![uploaded image](/media/?type=post&id=81615&key=user_uploads/356569/fe0ade75-50c9-4bd5-808a-1ea55604a35d)\n\n",
        "url": "https://www.ycombinator.com/launches/LEN-health-scores-for-developers",
        "votes": 12,
        "created_at": "2024-06-19T16:48:14.926Z"
      },
      {
        "id": 80833,
        "title": "Terra API: Easily create AI health agents with wearable data",
        "tagline": "The easiest way for developers to create health agents with health data",
        "body": "**tl;dr:** Terra API allows you to connect health data with AI, such as GPT-4o and Claude 3, and develop health AI agents.\n\n**The story**\n\nOver the last year, hundreds of developers have used [Terra](https://tryterra.co) to create AI solutions. We’ve seen solutions for fitness, sleep, nutrition, telemedicine, longevity, and more.\n\nWe decided to reduce the complexity fully and embed all the AI experience within the dashboard so you can easily develop such solutions.\n\n![uploaded image](/media/?type=post&id=80833&key=user_uploads/356569/dac1c7ed-4d5d-4b2b-a337-d4e46ee93b8d)\n\n**How it works:**\n\n* Choose the wearables and health apps you want connected\n* Choose the AI you want, from GPT-4o to Claude 3.\n* Prompt the model\n* Choose your destination to receive the data\n\n**What’s coming next:**\n\n* More integrations with Perplexity, Llama and others\n* More destinations to store data\n* Improvement in prompting\n* Availability of voice, camera and more\n\n**Getting Started**\n\nCreate an account [here](https://dashboard.tryterra.co/) and choose your AI of choices from the processes.\n\n[ ](https://www.youtube.com/watch?v=PA2FR_A1pc0)",
        "url": "https://www.ycombinator.com/launches/L1l-terra-api-easily-create-ai-health-agents-with-wearable-data",
        "votes": 20,
        "created_at": "2024-05-14T16:46:02.256Z"
      },
      {
        "id": 71969,
        "title": "OdinAI by Terra",
        "tagline": "Generate health recommendations for any app",
        "body": "### **TLDR**:\n\nTo date, it has been super difficult to generate health insights and recommendations for your application.\n\nWith [OdinAI](https://tryterra.co/products/odinai), we make it super easy for you to add health recommendations to your app! We built all the necessary software tools and help you deliver these recommendations through ChatGPT!\n\n* Get started [here](https://tryterra.co/products/odinai?ref=producthunt)\n\n![uploaded image](/media/?type=post&id=71969&key=user_uploads/356569/bfda54d3-5766-4a7f-bf4f-c68ce32581d8)\n\n### What is [Terra](https://tryterra.co)\n\nAn API that makes it super easy for apps to connect to wearables and sensors.\n\nMany of our customers have been asking for an easy way to generate recommendations, so we connected with ChatGPT and made it possible.\n\n### The way it works:\n\n1\\. You upload your recommendations\n\n2\\. We prompt ML models and optimize them for your app\n\n3\\. You receive the recommendations through our API\n\nThis can be for your sleep, mental health, nutrition, training, and overall health app!\n\n[OdinGPT Private Alpha Release - Watch Video](https://www.loom.com/share/247f12f4519340278426b86cfc5ca148)\n\n![](https://cdn.loom.com/sessions/thumbnails/247f12f4519340278426b86cfc5ca148-with-play.gif)\n\n\n### What's coming in the upcoming updates:\n\n\\- Granular level responses\n\n\\- Chatbot to install for your app\n\n\\- Optimised recommendations for specific categories,\n\n\\- and many more!\n\nWould love to hear your thoughts, and feel free to ask for features you'd like to see!",
        "url": "https://www.ycombinator.com/launches/Iin-odinai-by-terra",
        "votes": 12,
        "created_at": "2023-06-01T13:45:02.528Z"
      },
      {
        "id": 64219,
        "title": "Terra: API to connect your app to wearables",
        "tagline": "New product: Connect your app to real-time wearable data.  Garmin, Fitbit, Oura, Peloton and others, through a single source",
        "body": "![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/73457b9e-0593-4ecd-b5e1-f6d5fc70f490)\n\n### The problem:\n\nConnecting to wearables such as Garmin, Fitbit, Oura, Wahoo, etc is a very long process. You need to deal with partnerships and poorly written docs and create an internal DevOps team.\n\n### What we do\n\n[Terra](https://tryterra.co/) is an **API** that makes it easy for apps to connect to all wearables.\n\nWe already have all the [integrations](https://tryterra.co/integrations) you need, such as Apple, Garmin, Peloton, Zwift, Freestyle Libre, Samsung, and the list goes on.\n\nOne integration is all that matters 😀\n\n### The new product\n\nWe just released our **new** beta product: **Real-time streaming** of wearable data, through our Websocket API! You can now connect any app, through your heart rate belt, be it from Polar, Suunto, Garmin or anything that supports BLE 🎉🎉\n\n* More about Terra [here](https://tryterra.co)\n* More about the real-time streaming [here](https://blog.tryterra.co/realtime-data-streaming-3db7a5a207ae)\n* More about the docs [here](https://docs.tryterra.co)\n* and some [stories](https://blog.tryterra.co/startup-spotlight/home) from our customers\n\n![uploaded image](/media/?type=post&id=64219&key=user_uploads/356569/226e3640-0d81-4cc3-a05a-26c352b56fe1)\n\n",
        "url": "https://www.ycombinator.com/launches/Ghn-terra-api-to-connect-your-app-to-wearables",
        "votes": 51,
        "created_at": "2022-06-30T09:24:13.771Z"
      }
    ]
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    "id": 23629,
    "name": "AXAR AI",
    "slug": "axar-ai",
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    "website": "https://www.axar.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "Multi-agent orchestration platform",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B",
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    "tags": [
      "Developer Tools",
      "B2B",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Inactive",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/axar-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/axar-ai.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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    "fb_url": null,
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    "github_url": "https://github.com/glop-hq/glop",
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    "founders": [
      {
        "user_id": 565122,
        "full_name": "Anupom Syam",
        "title": "Founder",
        "founder_bio": "anti-obvious. pro-outcome.\n\n\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/anupom",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4d70fd448352cad1d1b00ef5225e6d3182b73ab.jpg"
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  },
  {
    "id": 23632,
    "name": "NextPay",
    "slug": "nextpay",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a2e17ef5f315b7d43a751993de676bf13903bea.png",
    "website": "https://nextpay.world",
    "all_locations": "Makati, NCR, Philippines",
    "long_description": "NextPay is a digital bank for small businesses and entrepreneurs in The Philippines. They use us to send invoices, collect payments, do payroll, and pay their bills.\r\n\r\nNextPay is the best alternative to bank accounts for small businesses and entrepreneurs in the Philippines. We help them similarly to how Brex helps companies in the US, but in a way that is more locally nuanced. We manage their finances and remove the steep barriers that Filipino banks and financial institutions typically require; no setup fees, maintaining balances, or ridiculous requirements. \r\n\r\nView the full context on our Launch Bookface post: \r\nhttps://bookface.ycombinator.com/posts/51999",
    "one_liner": "The digital bank for small businesses in the Philippines.",
    "team_size": 25,
    "industry": "Fintech",
    "subindustry": "Fintech -> Banking and Exchange",
    "launched_at": 1616401605,
    "tags": [
      "Banking as a Service",
      "Fintech",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2021",
    "status": "Active",
    "industries": [
      "Fintech",
      "Banking and Exchange"
    ],
    "regions": [
      "Philippines",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
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    "long_description": "Stop vibecoding internal tools nobody can maintain. Get apps, tables, forms, dashboards, and AI automations built for your process, on infrastructure that already handles permissions, data, and integrations. Your team just opens the app. Unlimited users, pause anytime.",
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        "linkedin_url": "https://www.linkedin.com/in/bruno-lehmann-bannach-07909556/",
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        "title": "YC-Backed Jestor Helps Business Teams Create Scalable Operation Workflows",
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        "date": "Aug 18, 2021"
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        "id": 92819,
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        "id": 94046,
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        "id": 106800,
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        "title": "Founder",
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        "full_name": "Anja Winikka",
        "title": "Founder",
        "founder_bio": "Anja is the former Co-Founder of Maroo, a payments platform for the wedding market. Before, she spent 13 years in New York at The Knot Worldwide where she led the digital marketing and content teams of TheKnot.com and designed a series of education workshops and for wedding small business owners across the US. Anja has appeared and shared her insights and wedding industry expertise with The New York Times, The Today Show, Good Morning America, The Washington Post, CNN, and more. ",
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    "all_locations": "Jakarta, Jakarta, Indonesia",
    "long_description": "Verihubs is an Indonesian AI-powered verification company. We have helped more than 300 companies ranging from digital disruptors to Fortune 500 companies in Southeast Asia. Ranked #1 in Indonesia by the National Institute of Standards and Technology (NIST) in terms of performance and accuracy, our AI-based face recognition (FR) technology became a staple in fraud prevention in this new era of digital acceleration. Our solutions have been trusted by BCA—the largest private bank in Indonesia, IFG (one of the largest state-owned insurance), Commonwealth Bank, Maybank, Bukalapak, FAZZ, Ministry of Finance, and many other industry leaders.\r\n\r\nThe pandemic has accelerated the digital development and adoption of products, services, and processes by 4-7 years according to recent studies. However, the verification solutions and related data to meet these digital needs are still so behind the ideal mark. We at Verihubs are on a mission to build an all-inclusive automated and instant verification platform for Indonesia.",
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    "country": "ID",
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      "name": "Diana Hu",
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        "title": "Verihubs Collaborates with a Major Local Government-Owned Bank to Enhance Custom",
        "url": "https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://keuangan.kontan.co.id/news/bjb-gaet-verihubs-percepat-proses-onboarding-digital-targetkan-1-juta-pengguna-baru&ved=2ahUKEwjdvKmarMiFAxVpzDgGHW_vCaIQFnoECCQQAQ&usg=AOvVaw2CWlBxPr_XHNkYMREL3myF",
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      },
      {
        "title": "Mitra Keluarga Luncurkan MIKA Mobile Berbasis OCR dari Verihubs, Daftar Pasien Jadi Lebih Mudah",
        "url": "https://wartaekonomi.co.id/read526622/mitra-keluarga-luncurkan-mika-mobile-berbasis-ocr-dari-verihubs-daftar-pasien-jadi-lebih-mudah",
        "date": "Jan 23, 2024"
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      {
        "title": "Verihubs is ranked #1 FRVT based on NIST",
        "url": "https://jabar.idntimes.com/news/jabar/yogi-pasha/frte-teknologi-face-recognition-verihubs-menjadi-nomor-1-di-indonesia",
        "date": "Aug 25, 2023"
      },
      {
        "title": "From Quantum Computers To Digital Security: The 30 Under 30 Asia Entrepreneurs Innovating In Enterprise Technology",
        "url": "https://www.forbes.com/sites/ardianwibisono/2022/05/25/from-quantum-computers-to-digital-security-the-30-under-30-asia-entrepreneurs-innovating-in-enterprise-technology/",
        "date": "May 24, 2022"
      },
      {
        "title": "Indonesian ID and data verification startup Verihubs gets $2.8M led by Insignia Venture Partners – TechCrunch",
        "url": "https://techcrunch.com/2021/09/27/indonesian-id-and-data-verification-startup-verihubs-gets-2-8m-led-by-insignia-venture-partners/",
        "date": "Sep 27, 2021"
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    "id": 24191,
    "name": "Secoda",
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    "website": "https://secoda.co",
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    "long_description": "Kaya is on a mission to help businesses achieve rapid growth through digital advertising. With our cutting-edge technology and experienced marketers, we deliver ad campaigns 10x cheaper, better and faster than traditional agencies. In less than a year, we’ve helped 120+ businesses achieve multiple fold growth on their ad campaigns, without the steep fees typically associated with high-quality marketing services.\r\n\r\nCheck out what some of our customers have to say here: usekaya.com/reviews",
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        "body": "**tl;dr:** Kaya is the _only_ company that provides end-to-end campaign management services and a marketing analytics platform. With our cutting-edge AI and experienced marketers, we deliver your campaigns 10x cheaper, better, and faster than traditional agencies or freelancers.\n\n### **🧨 Problem**\n\nStartups need paid ads to grow, but building a full-stack marketing function takes years and significant funding. Most companies end up hiring traditional agencies, freelancers, or in-house teams and face these problems:\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/92924144-4967-4efa-a7ad-83bd60a9e10f)\n\n### **✅ Our Solution**\n\nKaya delivers a seasoned team and marketing analytics from the get-go, saving you significant time and money.\n\n* **Campaign management services:** We launch and optimize your marketing campaigns across multiple channels (Google, LinkedIn, Meta, TikTok Ads).\n\n  ![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/3f54641a-8033-4bf5-8a0d-cd7214991d2e)\n\n* **Marketing analytics platform:** Customized dashboard and Slack bot to track CAC and all marketing KPIs.\n* Slack channel with Kaya’s founders and marketers for seamless collaboration.\n\n# \n\n### **💖 Why Founders Love Us**\n\n* **Results**: See campaigns launched in 2 weeks and performance improvements within 1 month.\n* **Speed:** Our internal tools utilize data science and AI to optimize campaign performance. Our SLA is 1-3 days, depending on task complexity.\n* **Work quality:** Despite using AI in our workflow, our experienced marketers further amend and ensure everything is of top-notch quality. We also provide unlimited revisions.\n* **Pricing:** Our technology enables us to deliver better results with minimal overhead costs, and we pass those savings back to you.\n* **Cultural fit:** We're a startup ourselves, so we prioritize experimenting in a structured way and working iteratively.\n\n...and more. [**Read testimonials →**](https://www.usekaya.com/reviews?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n# \n\n### **🚀 Interested?**\n\nTell us your marketing goals and get a tailored marketing plan featuring:\n\n* Practical paid ads strategy and sample ad copies\n* Insights about competitor paid ads you can’t find anywhere else\n* CAC forecast\n\n[**Get a free proposal here →**](https://app.usekaya.com/start?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n### 🤗 **Our team**\n\nHi everyone, we’re Brian and Jee– the team behind [Kaya](https://www.usekaya.com/?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service).\n\nAt Kaya, we've built our team and services with founders in mind. We initially started with a SaaS product and quickly learned that most marketing tools are designed for experienced marketers, not busy entrepreneurs. We also realized that founders generally want two things: quick implementation and solid results. So we've created a service that delivers both. Our team provides comprehensive marketing support, from strategy to execution, backed by AI and data analytics. Our approach typically results in significantly better ROI compared to traditional methods, helping your startup grow faster without the usual marketing headaches.\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/9ce2573f-93f9-4a2d-8fd9-6d47db06d039)\n\n",
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    "long_description": "Tarsal is a data pipeline custom built for security teams. As security data grows 25% year over year, security teams desperately need access to best-in-class data infrastructure. Tarsal bridges the gap between the modern data stack and security teams, pioneering the modern security data stack. \r\n",
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    "city": "New York City",
    "country": "US",
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        "full_name": "Sunny Rekhi",
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        "founder_bio": "cofounder/CEO of Tarsal (acq)",
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        "linkedin_url": "https://www.linkedin.com/in/sunny-rekhi/",
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        "date": "Mar 21, 2024"
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        "id": 71058,
        "title": "Tarsal: Data pipeline built for modern security teams",
        "tagline": "Run your SIEM on a generic data lake with one-click connectors that normalize your logs to a unified schema",
        "body": "### **TL;DR:**\n\n[**Tarsal**](https://tarsal.co) **is the first data pipeline built for modern security teams.** We’re like Fivetran or Segment, but built for security teams.\n\nTarsal provides:\n\n\\- one-click ingestion and normalization for all security logs (e.g multi-cloud infra, Okta, Duo, Slack, CrowdStrike, etc.)\n\n\\- normalization _across_ sources for easy correlation\n\n\\- detections as code\n\n\\- a vendor-agnostic pipeline so you can use the best log destination for the job (supported destinations include Snowflake, S3, Databricks, Splunk, DataDog, etc.)  \n\n### 👤 **The Team**\n\n[**Sunny Rekhi**](https://www.linkedin.com/in/sunny-rekhi/) **(CEO)** was previously an infrastructure + backend engineer at TikTok and Uber, where he worked on high scale data systems.\n\n[**Manny Gundampalli**](https://www.linkedin.com/in/manny-gundampalli-6a982019b/) **(CTO)** was previously a data infrastructure engineer at Plaid, where she worked on Plaid’s highest volume ML pipelines.\n\n### **❌ The Problem**\n\n**Security data has become unmanageable.**\n\n![](https://lh4.googleusercontent.com/48OpE_QVew8YK5ESoSSTbQC9_FXZWfbtePb8yXmZlY7vpDTBGjNbqb7rCW4XRM4BzJtnUng2CeOGYkrqzO3VHXonj_23Q99TUIGRqOHDqZxNC7RdXz-W1sBM78XNig5TovQL1n5S8TtaeKgVdII8W2AtGQ=nw)\n\n* There’s no standard for how security data is defined, so security teams have to write complex queries to account for all the variations.\n* There’s no consistent way to get your log data: some vendors expose a REST API, others expose a GraphQL API. Some give you JSON data, some give you unstructured text. Schematized data is rare.\n* There’s _a lot_ of it. Security data is growing at 23% CAGR, and log storage costs are incredibly high.\n\n## **✨ Our Solution**\n\n[**Tarsal**](https://tarsal.co) is the first data pipeline built for modern security teams. With zero-hassle, one-click connectors, security teams can ingest normalized data and route it to the destination of their choice.\n\n**Our unified schema is specifically designed to reduce the complexity in incident response.** By normalizing a set of standard fields across all log sources, security teams no longer have to write complex queries to track an incident across their systems. Query once against Tarsal fields — let us figure out how that maps back to the original data.\n\n**We save you money on log storage costs by letting you route logs to the cheapest destination.** With data growing 23% year over year, organizations face ballooning infrastructure cost. Tarsal lets you filter + route logs to any of our supported destinations, including major SIEMs, Amazon S3, or a modern data warehouse like Snowflake, BigQuery, or Databricks.\n\n**Tarsal lets you write real-time detections as code.** Write expressive and flexible detections in Python for needs specific to your enterprise. Benefit from pre-built detections that are mapped to specific threats.\n\n**We alert you if anything breaks in your log ingestion.** Rest assured that you’re collecting the data you’d need during an incident. Set up Slack or PagerDuty alerts if any of your logs stop syncing over.\n\n![](https://lh6.googleusercontent.com/s_iuAJD6ZiI_jJBjGYE8ndHSN0grI-BEHRg_unkfAwwFlRvqhiWxfDPsNQ14mUlakvOPbedvfdc_ITMJfFlT3KdMUYolC43L-wwZx39-LbomTRhIstS4EofeIhj2WWBFLqCZEnaoCwbV9DL9_0FP-zKCbw=nw)\n\n### **🎉 Interested?**\n\nEmail us at [founders@tarsal.co](mailto:founders@tarsal.co) and we’ll give you a link to sign up. You can also a book a call with me [here](https://calendly.com/rohit-rekhi/30min) to learn more.",
        "url": "https://www.ycombinator.com/launches/IU6-tarsal-data-pipeline-built-for-modern-security-teams",
        "votes": 58,
        "created_at": "2023-04-19T14:52:36.010Z"
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    "website": "https://hilos.io",
    "all_locations": "Mexico City, CDMX, Mexico; Remote",
    "long_description": "Platform for WhatsApp API that allows you Profile leads, automate follow-ups and integrate with your favorite tools to increase conversion.\r\n\r\nHilos allows startups and SMBs to run their entire business on WhatsApp, without code. We focus specifically on letting businesses build apps within WhatsApp that integrate with other systems (CRMs, Databases, Payment providers, etc.).",
    "one_liner": "Close and activate your customers on WhatsApp",
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    "industry": "B2B",
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    "launched_at": 1628792250,
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        "full_name": "Alfonso Lizárraga",
        "title": "Founder",
        "founder_bio": "Looking for social problems to solve in LATAM through tech and product design.",
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        "linkedin_url": "https://www.linkedin.com/in/alfonso-lizarraga/",
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        "id": 65725,
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        "tagline": "Build apps in WhatsApp by connecting it with the tools you already use!",
        "body": "# **TL;DR**\n\nEasily connect WhatsApp to the systems you already use and automate outbound customer journeys, as well as advanced inbound experiences in a day, not weeks.\n\n# **The Problem**\n\nYou want to send an automated message to your client whenever they reach a certain status in your database / CRM?\n\nOr your customers are asking you the same repetitive questions like “what is the status of my delivery”?\n\nIf you’ve tried to integrate WhatsApp to the tools you already use, you already know it’s a time sink. Building these integrations takes precious time from your engineering team. Outbound messages don’t show up in your inbox and confuse your team, etc.\n\n# **How Hilos simplifies your life**\n\nThe short version is we turn this…\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/3c12b792-601b-48e9-b875-dcb2f335ab3c)\n\n…into this:\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/56f36d33-f55f-465e-a0ec-058e2b922201)\n\nWhich lets you connect you customer’s answers with anything with our API step 😉\n\n![uploaded image](/media/?type=post&id=65725&key=user_uploads/523944/ec472c2f-30b9-46df-9773-c957c1eaa360)\n\n**Hilos is the full stack for WhatsApp that allows you to:**\n\n1. Automate outbound campaigns (whether transactional or for marketing) directly via our API, manually or from Hubspot workflows.\n2. Build intelligent conversations that respond your customer’s questions without spending months building. “What is the status of my package”? That’s a 3 step flow that asks for their tracking number, checks it with your API, and returns the result in chat.\n3. And it comes with all the things you need to get started. Access to WhatsApp’s API, a multi agent inbox and a broadcast sender for personalised one off campaigns.\n\nWe’d love to get you closer to your clients on WhatsApp, get in touch with us [here](https://hilos.io/en/book-demo), or [via WhatsApp](https://api.whatsapp.com/send?phone=5215592257050&text=Hey%2C%20i%20saw%20your%20launch%20on%20YC%20and%20would%20love%20to%20learn%20more%20about%20Hilos!) 😉",
        "url": "https://www.ycombinator.com/launches/H65-hilos-zapier-for-whatsapp",
        "votes": 53,
        "created_at": "2022-08-30T15:52:02.356Z"
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    "id": 24198,
    "name": "SalaryBox",
    "slug": "salarybox",
    "former_names": [
      "SalaryBox (Registered Name- Cresce Innovation Private Limited)",
      "SalaryBox",
      "SalaryBox (by Titanmind)"
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    "website": "https://salarybox.in/",
    "all_locations": "Gurugram, HR, India",
    "long_description": "Salarybox is a payroll app for small businesses in India. There are 63 Million small businesses in India and 90% still manage payroll manually. Today, business owners manage attendance on pen-paper; calculate salary on excel and pay employees in cash.\r\n\r\nUsing our App, the entire process can be performed with the click of a button. Our app reduces the time taken to process payroll from 5 days to 5 minutes. \r\n\r\nWe use Payroll data to build a credit profile of 300 Million+ blue-collar workers and improve access to financial products.\r\n",
    "one_liner": "Gusto for India",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
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      "South Asia"
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/salarybox",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/salarybox.json",
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    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/salaryboxapp/",
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    "app_video_url": null,
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    "company_photos": [],
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    "founders": [
      {
        "user_id": 453482,
        "full_name": "Nikhil Goel",
        "title": "Founder",
        "founder_bio": "Co-Founder at SalaryBox",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhil-goel/",
        "x_url": "https://twitter.com/nikhilgoel03",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/addabb4d9b4e363713f6d38b206c152aae0f5d7f.jpg"
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      {
        "user_id": 729597,
        "full_name": "Peeyush Goyal",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peeyushgoyal1991/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16b00ae0319cdfa066577141d1749b4eb62af456.jpg"
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    ],
    "jobs": [
      {
        "id": 99839,
        "title": "Senior Executive- Account Manager (B2B SaaS Sales)",
        "url": "https://www.ycombinator.com/companies/salarybox/jobs/xz8CTdF-senior-executive-account-manager-b2b-saas-sales",
        "location": "Gurugram, HR, IN / Gurugram, Haryana, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "₹400K - ₹800K INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 112181,
        "title": "Tech Lead",
        "url": "https://www.ycombinator.com/companies/salarybox/jobs/jYHcpmx-tech-lead",
        "location": "Gurugram, HR, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Engineering manager",
        "salary_range": "₹4M - ₹6M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "SalaryBox gets $4 million in seed funding from Y Combinator, others - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/salarybox-gets-4-million-in-seed-funding-from-y-combinator-others/articleshow/87755076.cms",
        "date": "Nov 17, 2021"
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    ],
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  },
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    "id": 24206,
    "name": "Hyperbrowser",
    "slug": "hyperbrowser",
    "former_names": [
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      "MetricFlow",
      "Metlo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3b213c6492ebfd585bec4644b94f381db09e0e4.png",
    "website": "https://hyperbrowser.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hyperbrowser.ai is the internet infrastructure for AI agents. We provide instant, scalable browser infra with built-in CAPTCHA solving, proxy management, and anti-bot detection. \r\n\r\nDevelopers use us to power their AI agents for data collection, testing, and web automation at scale. We're backed by YC, Accel, SV Angel, and others.",
    "one_liner": "Web infra for AI agents",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1628188883,
    "tags": [
      "Developer Tools",
      "B2B",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
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      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/hyperbrowser",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/hyperbrowser.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hyperbrowser",
    "x_url": "https://x.com/hyperbrowser",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/hyperbrowserai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3b213c6492ebfd585bec4644b94f381db09e0e4.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 233736,
        "full_name": "Shri Sukhani",
        "title": "Founder",
        "founder_bio": "Founder, CEO @ Hyperbrowser. Previously, Eng at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shrisukhani",
        "x_url": "https://twitter.com/SukhaniShri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f3240bc666e1dfca46ebfcd404ae37b74a306a7.jpg"
      },
      {
        "user_id": 556017,
        "full_name": "Akshay Shekhawat",
        "title": "Founder",
        "founder_bio": "Founder @ hyperbrowser.ai",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akshay-shekhawat/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58c28996848605d8a210a90cbcc336cdf54ac647.jpg"
      }
    ],
    "jobs": [
      {
        "id": 75560,
        "title": "Growth Engineer Intern",
        "url": "https://www.ycombinator.com/companies/hyperbrowser/jobs/1LZDDAF-growth-engineer-intern",
        "location": "IN / Remote (IN)",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹25K - ₹200K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "Python",
          "React",
          "TypeScript",
          "Growth design",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 89908,
        "title": "HyperAgent: Open Source AI Browser Automation Framework",
        "tagline": "Automate the Web with LLMs",
        "body": "**TL;DR / Summary:**\n\nHyperagent is the AI-native browser automation framework - think Playwright supercharged with AI. No more brittle scripts, just powerful natural language commands.\n\nHyperAgent gives you:\n\n* 🤖 **AI Commands**: Simple APIs like [page.ai](http://page.ai)(), page.extract() and executeTask() for any AI automation\n* ⚡ **Fallback to Regular Playwright**: Use regular Playwright when you don’t need AI\n* 🥷 **Stealth Mode** – Avoid detection with built-in anti-bot patches\n* ☁️ **Cloud Ready** – Instantly scale to hundreds of sessions via [Hyperbrowser](https://app.hyperbrowser.ai/)\n* 🔌 **MCP Client** – Connect to external tools for full workflows (e.g. writing web data to Google Sheets)\n\n⭐ **Check it out and give it a star on Github!**\n\n<https://github.com/hyperbrowserai/HyperAgent>\\\n\\\n<https://www.youtube.com/watch?v=0bHC1i1aRhI>\\\n\\\n**Browser Automation Is Broken**\n\nWe built HyperAgent because **browser automation is broken.** We've all been there – spending hours writing scripts that shatter the moment a website changes. With AI agents becoming mainstream, we need automation that's as adaptive as they are, and doesn’t break every time a css class changes.\n\nWith HyperAgent, we’re adding AI to your existing toolkit, wrapping playwright in simple, natural language commands that just work. So you can have the best of both worlds - keep what you love about playwright and automate the rest with AI.\n\n**HyperAgent Quickstart**\n\nTo use HyperAgent on an existing page, you can simply call [**page.ai**](http://page.ai):\n\n```\nawait page.ai(\"Find a route from Miami to New Orleans, and provide the detailed route information.\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/f6d70ca6-70cf-4dff-a206-9263341cd681)\n\nThis will go to google maps, enter in the origin and destination, then return the route back.\n\nTo extract information from a page, call **page.extract:**\n\n```\nawait page.extract(“find the major cities that this path goes through\")\n```\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/2ca8cdba-b651-44e4-af20-9bdc7d1e0393)\n\n**Built-in Stealth Mode**\n\nHyperAgent comes with patches for stealth browsing so you don’t have to worry about getting blocked. For maximum stealth, use Hyperbrowser - it’s free to start.\n\n**Infinitely Extensible with MCP servers**\n\nWant to give HyperAgent access to custom tools or integrate with other apps? HyperAgent is an MCP client and offers infinite extensibility with any MCP server.\n\n**Scale to 100s of Concurrent Agents**\n\nUsing HyperAgent on HyperBrowser you can scale to 100s of concurrent agent runs in seconds. No need to worry about the underlying infrastructure.\n\n# Try It Today\n\n🚀 GitHub: <https://github.com/hyperbrowserai/hyperagent>\n\n![uploaded image](/media/?type=post&id=89908&key=user_uploads/556017/6aa560db-eee6-4bb6-9a9c-38c51fadb03d)\n\n",
        "url": "https://www.ycombinator.com/launches/NO8-hyperagent-open-source-ai-browser-automation-framework",
        "votes": 19,
        "created_at": "2025-04-28T15:08:07.451Z"
      },
      {
        "id": 89020,
        "title": "Hyperpilot: AI Browser Agent Playground by Hyperbrowser",
        "tagline": "Experience the future of the Agentic Web for Free with HyperPilot",
        "body": "# **TL;DR / Summary:**\n\nAI Browser Agents are powerful but costly/hard to access. HyperPilot lets you try all the leading browser agents (CUA, Claude CU, Browser Use) for free. It's built on Hyperbrowser, our infra that lets you build agents with a free API key + 5 lines of code.\n\n<https://www.youtube.com/watch?v=1AbjFhf2T0k>\n\n**Why**\n\nAI browser agents like OpenAI's CUA and Anthropic's Claude Computer Use promise to revolutionize web automation. But getting hands-on experience is tough. Tools are limited, complex, or expensive – OpenAI's Operator preview costs $200/month just to try. How can you explore this future without breaking the bank?\n\n# **What**\n\nWe're launching [HyperPilot](http://pilot.hyperbrowser.ai): A free, easy-to-use playground where you can directly interact with and compare different AI browser agent models. See firsthand what they can really do.\n\nHyperPilot isn't just a demo; it’s a fully functional browser agent playground that runs entirely on [Hyperbrowser](https://hyperbrowser.ai) - our robust and scalable browser infrastructure designed specifically for AI agents.\n\n# **Who is this for? What should you do with it?**\n\n### **Everyone**\n\nTry it out for yourself. See what the future of Browser Agents actually holds. Check out Claude Computer Use, OpenAI’s CUA, and more. If you get inspired by what you see, we’d love to hear from you and help in any way we can! Reach out to us at [founders@hyperbrowser.ai](mailto:founders@hyperbrowser.ai)\n\n_(Hyperbrowser booking Kendrick Lamar concert tickets)_\n\n![uploaded image](/media/?type=post&id=89020&key=user_uploads/233736/c8e39379-b378-45a7-a97b-7caafc1df810)\n\n### **Developers**\n\nUse HyperPilot to rapidly prototype your agents, prompts, and automations. Everything you see in HyperPilot is powered by Hyperbrowser infrastructure along with OpenAI, Anthropic, and Google DeepMind’s models.\n\nWant to build this magic into your own apps? With Hyperbrowser, you can get started using OpenAI’s CUA, Anthropic’s Claude Computer Use, and more with just a free API key and 5 lines of code.\n\nCheck out the docs here:\n\n* [Claude Computer Use on Hyperbrowser](https://docs.hyperbrowser.ai/agents/claude-computer-use)\n* [OpenAI CUA on Hyperbrowser](https://docs.hyperbrowser.ai/agents/openai-cua)\n\nGet your free API key here: <https://hyperbrowser.ai>\n\n_(Claude computer use on Hyperbrowser in 5 lines of code)_\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcqYG4wQaP9VTtLxvuXkLewpbDHxUCaWa2JU8rfhb9HYJBzLjuSViGyIoV-0jhpI8-w113eSxlPbYeQpQveCIKKX25CKV1DkgyCJ9DN1PTeoQf9cU1PX-T-QvuimhOskpAY1aIF?key=SWtClCBzkj7TSIatblqhIGY5)\n\n# **Our Asks**\n\n🆓 Try the leading AI browser agents for FREE on HyperPilot: [pilot.hyperbrowser.ai](http://pilot.hyperbrowser.ai)\\\n🛠️ Developers, get your free API key and start building: <https://hyperbrowser.ai>\\\n🔥 Share your favorite models and use cases with us on [LinkedIn](http://linkedin.com/company/hyperbrowser) and [X](http://x.com/hyperbrowser)",
        "url": "https://www.ycombinator.com/launches/N9o-hyperpilot-ai-browser-agent-playground-by-hyperbrowser",
        "votes": 78,
        "created_at": "2025-03-26T21:21:30.836Z"
      },
      {
        "id": 88849,
        "title": "Hyperbrowser MCP Server - Connecting AI to the Web 🌐 🤖",
        "tagline": "Connect LLMs to the web for research, coding, and automation",
        "body": "**TL;DR:**\n\nGive your LLMs / IDEs superpowers by connecting them to the web with Hyperbrowser's MCP. Unlock deep research, coding with live documentation, data extraction, and browser automation capabilities in 2 minutes. Install in seconds with `npx -y hyperbrowser-mcp` and use with Claude Desktop, Cursor, Windsurf, or your favorite MCP client.\n\n**ASK:** Building AI agents, developer tools, or research applications? Email us at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) or [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n\n<https://www.youtube.com/watch?v=HUA4uPwcS8U>\n\n## ❌ The Problem\n\nLLMs are powerful but isolated. They can't:\n\n* Access real-time web information\n* Interact with websites to complete tasks\n* Generate code using up-to-date documentation (even OpenAI API calls are sometimes botched)\n* Extract structured data from multiple sources in real-time\n\n## 🛠️ Our Solution\n\nHyperbrowser MCP Server connects LLMs directly to the web through Anthropic's Model Context Protocol.\n\n`$ npx -y hyperbrowser-mcp`\n\n**Our MCP Server exposes 7 powerful tools:**\n\n\\- **Web data tools:** scrape_webpage, crawl_webpages, extract_structured_data, search_with_bing\n\n\\- **Browser automation:** browser_use_agent, openai_computer_use_agent, claude_computer_use_agent\n\nYour favorite MCP client can use the web data tools to surf the web for real-time information and data + use the browser automation tools to take actions like ordering a pizza or commenting on a GitHub pull request.\n\n## 💡 What You Can Build\n\n* **Deep Research in Cursor:** Claude, Cursor, and Windsurf can use Hyperbrowser's MCP server to do extremely deep research on any topic. No need for $200/mo ChatGPT Pro.\n* **Faster coding with AI:** Generate working code with current API docs, automate code reviews, build integrations\n* **Extract Data:** Convert web content to structured datasets, right in your claude app\n* **Automate Tasks:** Test applications, submit forms, automate UI tests\n\nCheck out this video of my cofounder vibe coding a whole game with Cursor and Hyperbrowser's MCP Server:\n\n<https://www.youtube.com/watch?v=wT89pY6zW4o>\n\n## 🙏 Our Asks\n\n* **Try it out!** Get a free API key at [app.hyperbrowser.ai](http://app.hyperbrowser.ai) and install in your clients (instructions here - [github.com/hyperbrowserai/mcp](http://github.com/hyperbrowserai/mcp))\n* **Share this post** with AI devs and researchers\n* **Connect with us** at [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai) and [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai)\n* **Follow us** at [x.com/hyperbrowser](http://x.com/hyperbrowser) and [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* **Join our community** on Discord - <https://discord.gg/zsYzsgVRjh>\n\n![uploaded image](/media/?type=post&id=88849&key=user_uploads/233736/98d7ef01-89f4-475b-af5b-90679a5f3097)\n\n",
        "url": "https://www.ycombinator.com/launches/N73-hyperbrowser-mcp-server-connecting-ai-to-the-web",
        "votes": 93,
        "created_at": "2025-03-21T00:51:31.528Z"
      },
      {
        "id": 87074,
        "title": "Hyperbrowser - Web infrastructure for AI agents",
        "tagline": "AI’s Gateway to the Web",
        "body": "## TL;DR\n\nHyperbrowser is AI's gateway to the web. We make it dead simple to give your AI agents reliable, scalable scraping and browser automation capabilities without getting blocked or dealing with infra headaches. One API call to HB gives you a browser session with built-in stealth mode, proxy rotation, automatic CAPTCHA solving, session management, session recordings etc. Hyperbrowser is the only browser platform that lets your agents spin up 100s of concurrent browsers with sub-second start times.\n\n<https://www.youtube.com/watch?v=LZIPzjyEuGU>\n\n## Why is this important? And why now?\n\nThe web wasn't built for AI—but AI needs the web. In 2025, Agents are finally here. We've met so many companies building web-based agents who keep running into the same problems:\n\n* They keep getting blocked\n  * Websites detect and shut down automation, making it hard to scale AI-driven browsing.\n* Web automation at scale is a nightmare to manage\n  * Managing browser infrastructure is expensive, slow, and unreliable—especially when running thousands of concurrent sessions\n* High latency\n  * High latency creates a terrible user experience and leads to frustration\n\nThe future is AI-driven agents that browse, transact, and take action. Hyperbrowser enables Agents to reliably interact with the web.\n\n## Our Solution\n\n**Core Infrastructure**\n\n* Launch thousands of undetectable browsers in <1s\n* Built-in anti-detection & stealth mode - bypasses anti-bot systems and fingerprinting\n* Automated CAPTCHA solving\n* Ultra-low latency globally distributed infrastructure\n\n**Developer Experience**\n\n* Multiple levels of abstraction:\n\n```\n// High-level API for instant results\nconst data = await client.scrape.startAndWait({\n  url: \"https://example.com\",\n  solveCaptchas: true\n});\n\n// Or fine-grained control when you need it\nconst session = await client.sessions.create();\nconst browser = await connect({ \n  browserWSEndpoint: session.wsEndpoint \n});\n```\n\n* Full compatibility with Puppeteer, Playwright, and Selenium\n* Comprehensive session management and monitoring\n* Live stream APIs for real-time session data\n* Native integrations with LangChain, LlamaIndex, and more\n\n**Infrastructure & Scaling**\n\n* Instant browser session startup (<1s)\n* Scale from 1 to 1000s of concurrent sessions\n* Flexible pricing tiers to match your needs\n* No infrastructure management required\n\n## What People Are Building with Hyperbrowser\n\n* Web research agents automating sales and marketing research\n* AI agents booking flights and analyzing markets in real-time\n* Testing teams running 500+ concurrent browser sessions\n* Companies collecting training data for AI models at scale\n* Automated KYC/KYB processes with built-in compliance\n\n## Get Started\n\n* Try it free at <https://hyperbrowser.ai> \n* Join our Discord - <https://discord.com/invite/zsYzsgVRjh>\n* Follow us on X - [x.com/hyperbrowser](http://x.com/hyperbrowser)\n* Follow us on LinkedIn - [linkedin.com/company/hyperbrowser](http://linkedin.com/company/hyperbrowser)\n* Email us directly: [akshay@hyperbrowser.ai](mailto:akshay@hyperbrowser.ai) or [shri@hyperbrowser.ai](mailto:shri@hyperbrowser.ai)\n\n![uploaded image](/media/?type=post&id=87074&key=user_uploads/556017/8dc23770-3861-4ce3-8426-ef5be417d5d6)\n\n",
        "url": "https://www.ycombinator.com/launches/MeQ-hyperbrowser-web-infrastructure-for-ai-agents",
        "votes": 92,
        "created_at": "2025-01-23T02:44:54.888Z"
      }
    ]
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    "id": 24207,
    "name": "Keyri",
    "slug": "keyri",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d204b37489e1bf0407fdab24bd4c6ec609fffd5.png",
    "website": "https://keyri.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Keyri helps companies implement simple, secure anti-fraud and authentication solutions to delight users and keep bad actors off their platform. Keyri's mobile application and browser fingerprinting suite ties user identities to trusted devices, preventing fraudulent activity such as account opening, account takeovers, bot attacks, and referral/promo abuse. Keyri is able to establish an immutable device fingerprint for every device, alerting companies of any suspicious devices during sign up, log in, or subsequent authentication events.\r\n\r\nKeyri also offers a passwordless authentication suite that leverages Passkeys, WebAuthn, and QR codes to enable biometric authentication on all platforms and devices, providing a seamless user experience, strengthening multi-factor account security, and reducing reliance on other tedious and unsecure authentication methods.",
    "one_liner": "Secure fraud prevention and authentication platform for developers",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1627569946,
    "tags": [
      "SaaS",
      "B2B",
      "Security"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/keyri",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/keyri.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/keyri-auth",
    "x_url": "https://twitter.com/KeyriAuth",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/keyri",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d204b37489e1bf0407fdab24bd4c6ec609fffd5.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 586106,
        "full_name": "Zain Azeem",
        "title": "Founder",
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        "location": "US / ES / DE / GB / PL / IN / CA / Remote (US; ES; DE; GB; PL; IN; CA)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $175K",
        "equity_range": "0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Kubernetes",
          "PostgreSQL",
          "Python",
          "RabbitMQ",
          "Elasticsearch",
          "Jenkins",
          "Software Security",
          "Microservices",
          "Terraform",
          "LLMs",
          "AI Agents"
        ]
      }
    ],
    "news": [
      {
        "title": "Scispot closes $8-million USD Series A to become the operating layer for life sciences labs | BetaKit",
        "url": "https://betakit.com/scispot-closes-8-million-usd-series-a-to-become-the-operating-layer-for-life-sciences-labs/",
        "date": "Jun 04, 2026"
      },
      {
        "title": "Scispot Launches Scibot™: An AI Agent on Its Lab Operating System",
        "url": "https://www.prweb.com/releases/scispot-launches-scibot-an-ai-agent-on-its-lab-operating-system-302164534.html",
        "date": "Jun 05, 2024"
      },
      {
        "title": "From Expedia to Scispot: A startup founder’s journey to build data infrastructure for biotech – GeekWire",
        "url": "https://www.geekwire.com/2024/from-expedia-to-scispot-a-startup-founders-journey-to-build-data-infrastructure-for-biotech/",
        "date": "May 30, 2024"
      },
      {
        "title": "Scispot Introduces Lab Operating System and GLUE on AWS Marketplace",
        "url": "https://www.prweb.com/releases/scispot-introduces-lab-operating-system-and-glue-on-aws-marketplace-302038310.html",
        "date": "Jan 18, 2024"
      },
      {
        "title": "Indee Labs adopts Scispot to operate as a digital biotech company - Communitech",
        "url": "https://communitech.ca/technews/indee-labs-adopts-scispot-to-operate-as-a-digital-biotech-company.html",
        "date": "May 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 107928,
        "title": "Scispot Smart Actions",
        "tagline": "We stopped connecting instruments and started letting them make decisions",
        "body": "![uploaded image](/media/?type=post&id=107928&key=user_uploads/697526/3baf4e61-60db-413e-a024-a596c1cf70d1)\n\nAt 11:40pm, an analyst at a biotech we work with was staring at a plate of 96 ELISpot wells, trying to figure out why three \"positive\" results didn't match the raw counts. She'd already re-typed the spot counts into a spreadsheet once. She was about to do it again, by hand, to double-check herself because the instrument doesn't know what a \"positive\" is. It just counts spots. Someone has to turn that count into a decision, and that someone was her, at midnight, for the fourth night that week.\n\nThat's not a story about one analyst. That's the entire industry's relationship with lab data, and it hasn't meaningfully changed in a decade.\n\n## **The part everyone stops short of**\n\nMost labs eventually solve the easy problem: getting a file off an instrument and into some kind of system of record. That's plumbing, and plumbing gets built. What almost nobody automates is the step after deciding whether a result is even valid.\n\nDoes it clear the CV threshold?\n\nIs this well too confluent to trust (TNTC)?\n\nWhat's the right baseline to compare against? Is this a Positive, a Negative, or a QC Fail?\n\nThat judgment still lives in someone's head and someone's spreadsheet, redone by hand, every single run.\n\nWe think that's the real bottleneck in lab data - not moving files around, but making trustworthy calls on what's inside them, fast enough to keep up with how fast science actually moves.\n\n## **The infrastructure that makes this possible: GLUE**\n\nNone of this works without a real connectivity layer underneath it, so we built one. [Scispot GLUE](https://www.scispot.com/glue) is our API-first integration backbone with hundreds of connectors, native HL7/ASTM support, and webhooks — that plugs into instruments, LIMS-like entities, and external systems without custom code for every new device.\n\nGLUE is the nervous system; Smart Actions are the brain sitting on top of it, deciding what every signal actually means.\n\nThat distinction matters. A lot of \"lab automation\" stops at GLUE's job: get the file, map the fields, store the record. We built Smart Actions specifically because moving the data was never the finish line — it was the prerequisite.\n\n## **What we actually built**\n\n[Smart Actions](https://www.scispot.com/smart-actions) are AI-agent workflows inside Scispot that don't stop at moving data - they interpret it.\n\nA Smart Action parses a raw instrument export, maps every well to the right sample and treatment condition, applies your lab's QC rules automatically (CV thresholds, LLOQ cutoffs, TNTC handling), computes the real statistics — averages, fold change against baseline — and writes the _decision_, not just the number, straight into your Labsheets.\n\nThe ELISpot plate our analyst stayed up for?\n\nToday that run finishes, and by the time she opens her laptop, the QC-gated summary is already sitting in the [Scispot Labsheet](https://www.scispot.com/labsheets) - Positive, Negative, Indeterminate, or QC Fail, each one traceable back to exactly why. Not a spreadsheet she has to trust blindly. A decision she can audit in one click.\n\n## **Why this is a bigger bet than \"faster data transport\"**\n\nMoving data fast, which is what GLUE gives you, is table stakes. The hard, valuable problem is the judgment layer on top of it is this result real, does it pass QC, what does it mean for the next experiment. That's what Smart Actions own, permanently, for every run, not just the one someone remembered to check carefully.\n\nSmart Actions are composable, build one for ELISpot, reuse the same pattern for a plate-reader screen routing hits into follow-up assays, chain them together across protocols, all running on top of GLUE's connectivity. And they're callable by [Scibot Omega](https://www.scispot.com/product-releases/scibot-omega), our AI orchestrator, so a scientist can just say \"clean this run, QC it, summarize it for the sponsor\" and the right Smart Actions execute end to end.\n\n## **Why we're telling you this now**\n\nWe've launched Scispot on YC before as a platform, and GLUE as our connectivity layer.\n\nThis time we wanted to talk about the layer built on top of it that our customers actually thank us for - the layer that means their best analyst stops being a human QC script running at midnight, and starts being a scientist again.\n\nIf you've ever stared at a spreadsheet at 11pm trying to figure out why a result doesn't add up, we built this for you.\n\n👉 **scispot.com/demo**\n\n<https://www.youtube.com/watch?v=_BFoFo_0zHk>",
        "url": "https://www.ycombinator.com/launches/S4m-scispot-smart-actions",
        "votes": 14,
        "created_at": "2026-07-27T23:39:25.957Z"
      },
      {
        "id": 101995,
        "title": "Scispot MCP 🧠 Run Claude inside your governed lifescience lab data",
        "tagline": "27 MCP tools that let Claude, Cursor, and ChatGPT act on samples, lineage, and lab workflows with full RBAC and audit.",
        "body": "![uploaded image](/media/?type=post&id=101995&key=user_uploads/697526/0294af99-be72-4dcf-8f4f-4ff0d65f9e6f)\n\n📝 **TL;DR**\n\nScispot is the governed operating system for sample-centric labs. We just shipped an MCP server with 27 tools so Claude, Cursor, Claude Code, and ChatGPT can act directly on your live lab data with the same role permissions and audit trail as a human in the UI.\n\nHey everyone 👋\n\nI'm Satya, co-founder of [**Scispot**](https://scispot.com/). Today we're launching the **Scispot MCP Server**, the first MCP server built for the governed lab operating system that scaling biotech, diagnostics, and regulated CROs run on.\n\n🎯 **The problem**\n\nLabs that are growing past 20–500 people don't have an \"ELN or LIMS problem\"; they have a fragmentation problem. Samples live in one system, results in another, instruments in a third, methods in Google Docs, and the answer to \"which lot did this come from\" lives in a person's head.\n\nThat fragmentation has three consequences AI makes worse, not better:\n\n* **Shadow workflows.** Scientists copy sample data into Claude, ask it to find anomalies, paste the answer back, and (hopefully) update inventory. QA can't audit it.\n* **Governance leaks.** A general-purpose agent has no idea a CRO coordinator shouldn't see another sponsor's samples, or that a clinical reviewer's role limits what they can edit.\n* **AI initiatives stall.** Leadership wants AI outcomes. The data foundation isn't ready. CAP/CLIA and GxP teams say no until it is.\n\n📈 **Scispot's solution**\n\nWe built Scispot as the **governed operating system for sample-centric labs**: sample-first data model, RBAC, audit, approvals, and a single API surface across every workflow a lab actually runs. The MCP server makes that operating system addressable by any agent:\n\n* **27 tools** spanning sample search and lineage, structured tables, methods and protocols, freezer and inventory state, lab flows, and image retrieval — all consistent under one auth and audit model.\n* **RBAC at the tool layer.** Every call resolves the calling user's role. A CRO coordinator can't see another sponsor's samples through the agent. **This is what unblocks regulated buyers.**\n* **Audit + approvals inherited.** Every MCP action lands in the same activity stream as a UI action, with actor, timestamp, and diff. Sensitive writes route through the same approval steps. The agent isn't a back door for CAP/CLIA or GxP.\n* **OAuth 2.0 + PKCE** on top of a Scispot. Compatible with Claude Desktop, Claude Code, Claude Web, Perplexity, Cursor, and ChatGPT.\n* **One system, not five.** Most customers retire 3–5 disconnected tools (LIMS, ELN, freezer, inventory, spreadsheets) on the way in. MCP gets one auth model, not five integrations.\n\n🚀 **Traction**\n\n* **Live in production** with 100+ labs\n* **27 production tools** shipped, with usage metering\n\n🙋 **What customers are doing with it**\n\n* **pharma R&amp;D:** retiring a GraphPad + Claude + manual reporting stack. Their go-to prompt: _\"summarize all experiments linked to samples where Reagent Lot is XX-007.\"_ Answered against governed data, not a stale CSV.\n* **process development labs (e.g. fermentation) :** asking Claude to walk sample lineage and storage state: \"which box, which rack, which plate, which lineage\" without learning the Scispot menu hierarchy.\n* **translational teams:** wiring LaTeX-based methods writing to live experiments, so the methods section assembles itself from the actual run record. The next reader is a sponsor or regulator.\n* **AI/ML &amp; Informatics teams:** treating MCP as the programmatic spine of an ML pipeline instead of maintaining yet another export script. Sample-first data model, no separate warehouse to keep in sync.\n\n📚 **Backstory**\n\nWe started Scispot because we watched scaling biotechs, molecular diagnostics labs, and regulated CROs lose weeks to fragmentation; every minute saved on the bench got eaten back at the spreadsheet. When MCP shipped, the standard finally let us put AI inside the governed system instead of beside it. We shipped MCP to the first cohort in March 2026.\n\n🚀 **Our ask**\n\n1. **If you run a sample-centric lab** — scaling biotech, molecular diagnostics, or regulated CRO — try the MCP server. Beta opt-in: [**survey.scispot.io/mcp**](https://survey.scispot.io/mcp)\n2. **Intros welcome** to Heads of Lab Ops, Informatics, or QA at labs feeling IND / CAP-CLIA / sponsor pressure. Email me directly: [**satya@scispot.io**](mailto:satya@scispot.io).\n\n   **See it in context:** [**top 5 use cases**](https://www.scispot.com/blog/top-5-scispot-mcp-use-cases) · [**press release**](https://www.prweb.com/releases/scispot-launches-mcp-server-to-bring-governed-ai-actions-to-live-lab-workflows-302719006.html).",
        "url": "https://www.ycombinator.com/launches/QX5-scispot-mcp-run-claude-inside-your-governed-lifescience-lab-data",
        "votes": 15,
        "created_at": "2026-05-26T21:48:47.952Z"
      },
      {
        "id": 95334,
        "title": "GLUE Robo: Lab automation layer for robots & instruments",
        "tagline": "An event‑driven automation layer for high‑throughput life science labs",
        "body": "Hey everyone! This is [Satya](https://www.linkedin.com/in/satyaravisingh/) & [Guru](https://www.linkedin.com/in/iamguru/) from Scispot. We just launched [Scispot GLUE Robo](https://www.scispot.com/blog/glue-robo-automation-transforming-lab-efficiency) - lab automation layer that seamlessly connects high throughput plate movements with Scispot LIMS.\n\nTL;DR: GLUE Robo connects lab instruments, robots, and data systems so results flow into [Scispot labsheets](https://www.scispot.com/labsheets) and databases in real time. No manual copy‑paste. No brittle scripts. Researchers get cleaner data. Heads of Data get lineage and control. Teams get time back.\n\n🚨**The problem:**\n\nModern labs live between hardware, software, and complex protocols. Manual steps slow them down. Data gets siloed. Errors creep in.\n\nTake an example of a high throughput lab tracking plate movements.\n\nHigh throughput plate movements refers to the challenge of verifying and tracking the large volume of rapid, automated operations occurring in laboratory environments. When plates are moved frequently and at scale, it becomes difficult to maintain a consistently accurate record of each transaction, ensure none are missed or duplicated, and verify that every action is valid for downstream lab and data processes.\n\n💡**The solution:**\n\nhttps://www.youtube.com/watch?v=osUdOo5COJQ\n\nScispot webhooks (offered by GLUE Robo) are essential in this context because they capture real-time, reliable updates for every eligible system call from the robot to Scispot. This enables seamless integration, error-catching, and audibility across platforms, ensuring data integrity and full traceability as throughput increases. Here are the key highlights of Glue Robo:\n\n* **Event‑Driven Automation.** GLUE Robo listens for lab events—plate movement, data capture, file drops, status changes—and reacts instantly.\n* **Instrument‑Agnostic.** Works with leading robots and instruments (e.g., Automata, Hamilton, and more). Connect once. Scale as you add hardware.\n* **No‑Code Workflows.** Build rules that match protocols, QC gates, or regulatory steps. Reconfigure as methods evolve.\n* **Auditable by Default.** Every action is logged. You get traceability, reproducibility, and peace of mind.\n* **Built for Throughput.** Designed to keep pace with overnight screens and multi‑run genomics pipelines.\n\n⚡**Impact:**\\\nScispot provides high throughput labs with real-time data synchronization, automation, and auditability for operations, ensuring accurate tracking and seamless integration across lab systems.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with high throughput labs who currently leverage one or all of the following at scale:\n\n* Automata LINQ\n* Hamilton STAR\n* qPCR systems\n* Plate readers\n\nScispot provides webhooks to seamlessly capture events from such systems so you can connect your computational workflows with wet lab.\n\n![uploaded image](/media/?type=post&id=95334&key=user_uploads/697526/5a103264-9e5d-46d5-992e-697f2b67b700)\n\n",
        "url": "https://www.ycombinator.com/launches/One-glue-robo-lab-automation-layer-for-robots-instruments",
        "votes": 24,
        "created_at": "2025-11-11T14:56:11.717Z"
      },
      {
        "id": 85309,
        "title": "Plato - Scispot's multi-well plate agent",
        "tagline": "Connect your plate readers, Tecan, Hamilton using Scispot’s AI agent.",
        "body": "Scispot is launching the world’s first agent for multi-well plates called Plato.\n\n**Plato has the wisdom of plate automation not philosophy.**\n\nA multi-well plate is basically a lab tool with multiple tiny \"wells\" or slots in one single tray. Each well can hold a separate sample, letting you run lots of tests at once—ideal for experiments like drug screening or diagnostics. It’s like having a mini grid of test tubes all in one place, so you can work faster and more efficiently.\n\n**Plato is the agent that helps wet lab scientists design, load, integrate and run their multi-well plates using natural language.** It understands the input and output from various plate readers such as **BMG Clariostar** for your assays. It also seamlessly integrates with **Tecan** and **Hamilton** for dilution.\n\nWhile designing your experiments, scientists can use Plato to create controls— standards for their assays— using AI.\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/7c482e2c-a2a5-4cb1-b775-4f670c58c10c)\n\n### **Problem**\n\nA wet lab scientist typically follows the journey of\n\n* Designing a plate in excel\n* Enter sample details such as IDs, concentration, standards and controls\n* Prepare samples in plate according to layout and execute experiment\n* Get the readings\n* Add the raw data back to their ELN or LIMS system\n* Cross-check data for errors and manually correct if needed\n\nThis process is not only time consuming, but labor intensive and leaves room for a lot of errors. It also doesn’t create a complete chain of custody for your plate data. You end up compromising your data integrity.\n\n**In a high throughput lab you cannot follow this process for 100s of plates!**\n\n![uploaded image](/media/?type=post&id=85309&key=user_uploads/697526/e90e3342-c5e5-4eb7-b5bb-ad4ce911a5ab)\n\n### **Solution**\n\nWith Scispot’s AI-powered Plato, the process finally shifts to where it should be: automated. Plate configurations happen at the click of a button, data flows directly into Scispot (ELN/LIMS), and error-checking is automatic. The time saved here isn’t just convenient; it maintains the complete chain of custody. You can also create plates in bulk using Plato while automating the logistics of moving, and transferring data.\n\nOnce you have this data in one place called Scispot Labsheets (Scispot data lake), you can then easily run regression or analytics.\n\nAs a result, you save a LOT of time while being compliant with 21 CFR Part 11 compliance controls.\n\n<https://youtu.be/4Y009dnwg8Q>\n\n### **Our Ask**\n\n* If you run a Biotech lab, join us for the official launch of Plato this Thursday, 7th November 2024. More details here: <https://lu.ma/uj7djz2b?tk=i4NxSp>\n* If you are a YC bio company, you get Plato for free along with 50% off on your first year with Scispot YC deal - <https://www.scispot.com/yc-offer>",
        "url": "https://www.ycombinator.com/launches/MBx-plato-scispot-s-multi-well-plate-agent",
        "votes": 32,
        "created_at": "2024-11-05T23:22:50.545Z"
      },
      {
        "id": 81624,
        "title": "🧪+🤖 Scibot - AI lab assistant to accelerate your biotech R&D",
        "tagline": "Use natural language to design experiments, get at-the-bench assistance, search, discover, and analyze data.",
        "body": "**tl;dr:** Introducing Scibot, your AI Lab Assistant that supercharges biotech R&D. Simplify experiment design, get real-time insights, and streamline data management—all with natural language commands.\n\n---\n\n### Problems Scientists Face:\n\n* Managing and integrating vast amounts of structured and unstructured lab data.\n* Spending too much time on repetitive data entry and analysis tasks.\n* Needing quick, reliable assistance while conducting experiments at the bench.\n* Difficulty in visualizing complex data relationships and generating actionable insights.\n\nDisconnected lab data is stored across disparate systems, and it is super hard to make it AI-ready.\n\n### Solution: Scibot\n\n**Scibot - Your AI Lab Assistant to Accelerate Biotech R&D**\n\nFour years ago, we launched Scispot, the first ELN + LIMS alternative—a modern data lake that integrates both structured data (experiment metadata, instrument results) and unstructured data (lab notes, protocol deviations). Our goal: create the ultimate Lab Operating System (LOS) for biotech companies.\n\nNow, we’re taking it a step further with Scibot. Leveraging generative AI trained on scientific data and workflows, Scibot enhances your lab operations by:\n\n**1\\. Create Your Unified R&D Data Model Using Labsheets:** Standardize your data model based on workflows and data types. Labsheets link entities through relationships, making it easy to manage and visualize data. For instance:\n\n* Create a Labsheet to store and visualize LCMS data.\n* Manage cell line stocks with an inventory Labsheet.\n* Convert your notebook entries into structured data\n\n**2\\. Talk to Your Data:** Interact with your data using natural language. Ask Scibot to summarize key findings or perform complex analyses with simple commands. For example:\n\n* \"Summarize the key findings from samples submitted by customer ABC Biotech”\n* \"Display the heat map for ADME data to identify the best hit molecules based on solubility and permeability.\"\n* \"Summarize the key ADME properties of the top-performing compounds from my recent experiments.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/025c395c-f3ab-43bc-9570-f452b571307c)\n\n**3\\. Get At-the-Bench Assistance:** Scibot offers one-click support for capturing protocol deviations, checking inventory status, tracking samples, and performing calculations—all while your hands and eyes are busy with experiments.\n\n**4\\. Generate Real-Time Insights:** Get actionable insights to optimize experiments. Ask Scibot for recommendations based on historical data or to identify trends and patterns. For example:\n\n* \"What are the recommended parameters for improving the yield in my protein expression experiments?\"\n* \"Show trends in gene expression levels from my RNA-seq data over the past six months.\"\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/4704f337-e098-41af-9770-eb831e984f45)\n\nThe real-time insights can be saved as “widgets” so you can create your own dashboard.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/c50fd70a-dcc7-40ac-8d2f-380f39193255)\n\n**5\\. Convert Your Google Sheets, Excel, PDFs, and Docs to Notebook Entries and Registries:** Scibot integrates various data formats into your ELN and LIMS, converting data from Google Sheets, Excel files, PDFs, and Word documents into Labsheets. This centralizes and streamlines data management.\n\n![uploaded image](/media/?type=post&id=81624&key=user_uploads/697526/9f113306-0449-4812-b577-4d937ac7105f)\n\n**6\\. Maintain your security and privacy while using Scispot AI (Scibot)**\n\n* Customer data never leaves your Scispot instance.\n* We do not train any models on customer data.\n* Scispot AI upholds all enterprise-grade security and compliance requirements while fulfilling SOC 2 and HIPAA controls.\n* Customers can choose to switch off Scispot AI functionalities in their account if they prefer not to use them.\n\n### Ask:\n\n* Join our launch event today - <https://lu.ma/1r5afh0e>\n* We’d love to chat if you use any ELN or LIMS system or want to explore new ELN or LIMS for your lab! Reach out at [team@scispot.io](mailto:team@scispot.io) or book a demo directly [here](https://www.scispot.com/demo).\n* We’d also appreciate sharing our launch and following us on [LinkedIn](https://www.linkedin.com/company/scispot-com).",
        "url": "https://www.ycombinator.com/launches/LEW-scibot-ai-lab-assistant-to-accelerate-your-biotech-r-d",
        "votes": 39,
        "created_at": "2024-06-20T14:35:52.031Z"
      },
      {
        "id": 74769,
        "title": "🚀 Scispot's Lab-as-Code solution: Turn your biotech into an AI powerhouse",
        "tagline": "Think of it as Zapier + Snowflake of biotech",
        "body": "Hello YC Community,\n\nWe're thrilled to introduce [**Scispot’s Lab-as-Code solution**](https://www.scispot.com/), the best data infrastructure for biotech. Think of it as the Zapier + Snowflake of biotech.\n\n🔗 **Three Pillars of Scispot** 🔗\n\n1️⃣ **Self-Serve Integrations**\n\n* **Problem**: Labs struggle with integrating data from platforms and lab instruments, causing inefficiencies.\n* **Solution**: Integrate with Benchling, Snowflake, LabVantage, Veeva, and lab instruments.\n* **Real Example**: A client integrated Snowflake, Benchling, and mass spectrometer data, cutting data prep time by 50%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/078d26ca-a01d-4978-ac6d-0b6af72167d9)\n\n2️⃣ **Data Readiness for AI**\n\n* **Problem**: Raw data is messy, hindering effective AI applications.\n* **Solution**: Staging lakehouse with embedded Jupyter Notebook and R Studio for data cleaning and transformation.\n* **Real Example**: A client standardized genomic data, boosting predictive model accuracy by 20%.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/2f23ec82-b0aa-48d7-8af7-b9429f9200e0)\n\n3️⃣ **API-First ELN & LIMS**\n\n* **Problem**: Traditional ELN and LIMS don't meet modern computational demands.\n* **Solution**: Our [API-First](https://docs.scispot.com/) ELN & LIMS add-on is designed for computational teams.\n* **Real Example**: A genomics lab automated 80% of workflows using our add-on.\n\n![uploaded image](/media/?type=post&id=74769&key=user_uploads/453596/151f63ab-ea24-4fcc-86e0-a47f07719880)\n\nJoin us in revolutionizing biotech with AI. Let's make science faster, smarter, and more efficient. \\\n\\\nYou can **book a free consultation call **[**here**](https://www.scispot.com/demo)**.**",
        "url": "https://www.ycombinator.com/launches/JRx-scispot-s-lab-as-code-solution-turn-your-biotech-into-an-ai-powerhouse",
        "votes": 57,
        "created_at": "2023-09-11T22:33:50.203Z"
      },
      {
        "id": 70891,
        "title": "Scispot GLUE - Stitch your biotech R&D data",
        "tagline": "Say goodbye to data graveyards and hello to faster R&D progress with GLUE!",
        "body": "**Tl;dr:** Scispot GLUE helps Biotech R&D labs extract data from Benchling, Notion, and Airtable, and easily transform it for auditing, visualization, and machine learning.  Scispot started as the world’s most configurable Electronic Lab Notebook (ELN) and Lab Information Management System (LIMS) two years ago for modern biotechs. As we acquired more customers, we learnt that many of them wanted to stitch their data with existing legacy ELN + LIMS, so we decided to launch an extension called Scispot GLUE to sit on top of your existing lab informatics systems and augment them. **Check out more** [**here.**](https://www.scispot.com/scispot-glue)\n\n**Hi everyone, we are Scispotters, the team behind** [**Scispot GLUE!**](https://www.scispot.com/scispot-glue)\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/610d10ec-be64-440c-8046-56f005fe485a)\n\nWe’re a team of molecular biologists, computational biologists, data engineers, bench scientists, and biomedical engineers working to solve the data swamp challenge.\n\n**In Biotech R&D, 80% of the generated metadata and data never get fully analyzed or used.** \n\n* Biotech R&D labs generate vast amounts of metadata and data from various sources, including instruments\n* With the current ELN + LIMS landscape, it becomes increasingly difficult to manage, access, and derive insights from data\n* As a result, there is a disconnect between wet lab and computational workflows\n\nScispot GLUE is built to solve this.\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/366fb516-a78b-4b51-951f-1ba54060e2fc)\n\n![uploaded image](/media/?type=post&id=70891&key=user_uploads/697526/32f45378-ce40-470b-b2dc-8618457afa66)\n\nIf this resonates with you, [Schedule a demo](https://calendly.com/scispot/30min?back=1&%3Bmonth=2021-11&month=2023-04) of Scispot GLUE\n\n**Our ask 🙏**\n\n1. Share this post! Many bio companies are facing the data swamp challenge where they struggle to connect their wet lab and computational workflows\n2. Connect us with any mid-size biotech companies who have their own ELN and LIMS but want to get the most out of their data",
        "url": "https://www.ycombinator.com/launches/IRP-scispot-glue-stitch-your-biotech-r-d-data",
        "votes": 47,
        "created_at": "2023-04-11T21:44:35.970Z"
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    "website": "https://www.momomedical.com/",
    "all_locations": "Delft, ZH, Netherlands; San Francisco, CA, USA",
    "long_description": "We go to nursing homes, and we put an internet-connected bed sensor underneath all their beds. Our app gives nurses valuable insights and an overview of all their residents. We reduce fall incidents and bedsores while improving evening and night shift productivity by over 30%. \r\n\r\nMomo Medical solves the biggest problem affecting nursing homes, staff shortages while increasing the quality of care. \r\n\r\n",
    "one_liner": "We help nurses in nursing homes to be 30% more effective",
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    "website": "https://infiuss.com",
    "all_locations": "San Francisco, CA, USA; LA, Nigeria",
    "long_description": "We are building the world's first community of patients eager to contribute to and advance  medical research. Our patient community platform offers health management, patient support and patient health data aggregation. We offer researcher's and life science companies with the opportunity to connect with these patients for their medical research needs. They recruit real patients for clinical trials, for bio specimens sourcing and to obtaining real world patient data.",
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        "full_name": "Melissa Bime",
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    "name": "Formance",
    "slug": "formance",
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    "website": "https://formance.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Formance Platform is building open-source infrastructure for the next wave of financial services. It enables fintech engineers to build and operate complex flow of funds, weaving together multiple payment rails with internal ledger accounts.\r\n\r\ngithub.com/formancehq/stack",
    "one_liner": "Open Source Infrastructure for the Financial Internet",
    "team_size": 33,
    "industry": "B2B",
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    "launched_at": 1626469942,
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    "url": "https://www.ycombinator.com/companies/formance",
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    "year_founded": 2021,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/formancehq",
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        "full_name": "Clément Salaün",
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        "founder_bio": "Founder of Formance, making complex payments workflows work. Previously @Selency.",
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        "linkedin_url": "https://www.linkedin.com/in/clementsalaun",
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        "url": "https://www.ycombinator.com/companies/formance/jobs/M2Vc5Mh-business-development-representative",
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        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/formance/jobs/ISOaDNE-solutions-engineer",
        "location": "London, England, GB / Remote (GB)",
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        "title": "Formance raises $21M to build the AWS for fintech infrastructure | TechCrunch",
        "url": "https://techcrunch.com/2025/01/29/formance-raises-21-million-to-build-the-aws-of-fintech-infrastructure/",
        "date": "Jan 29, 2025"
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      {
        "title": "French fintech Formance secures €2.9 million to help companies build and track payment flows | EU-Startups",
        "url": "https://www.eu-startups.com/2022/06/french-fintech-formance-secures-e2-9-million-to-help-companies-build-and-track-payment-flows/",
        "date": "Jun 20, 2022"
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        "title": "💸 Formance: Open, modular foundation for unique payment flows",
        "tagline": "Build, operate and track money movements of any size and shape on a solid and open-source system-of-record (ledger)",
        "body": "Hi everyone!\n\nWe’re developing an open-source solution to enable fintechs, marketplaces and platforms to build, operate and track money movements of any size and shape on a solid system-of-record (also known as a financial ledger)\n\n**✌️ Check out our main Github repository here:** [**https://github.com/numary/ledger**](https://github.com/numary/ledger\\*\\*)\n\n## **The problem**\n\nFintechs, marketplaces, and platforms growth is closely tied to their ability to:\n\n1. Process an increasing volume of transactions, and\n2. Implement competitive payment scenarios, which can become increasingly complex, e.g. complex commission models, improved time-to-money and creative payout schedules, embedded fractional ownership of various investment assets, omnibus accounts and the likes.\n\nEngineering teams spend valuable time building themselves these money flows and the way they are broken down; then making them evolve according to the development and the strategy of the company. Additionally, tracking and reconciliating these flows from pay-ins to payouts quickly upgrades itself from an small annoyance to a _did-we-lost-10millions-type-of-problem™️_\n\nFormance is tackling this particular segment in the payment value chain which is still painful for engineering teams, yet critical: the break-down and tracking of money between inflows and outflows.\n\n## **The solution**\n\n**✌️ Check out our main Github repository here:** [**https://github.com/formancehq/stack**](https://github.com/numary/ledger\\*\\*)\n\nFormance solution is based on four products designed to **improve your economics, save time and limit costly errors:**\n\n**1/ A simple and open-source programming language for money**: designed for engineering and payments teams, this low-code language enables the creation of reliable and unique payment scenarios in a few hours, rather than days, without any particular technical expertise related to payments;\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/882aa901-0827-41c2-9dfc-4fecdbe29c8d)\n\n**2/ Pre-built and extendable use-case templates**: these templates allow to quickly implement new business strategies or product features, check them out here: <https://www.formance.com/use-cases-library>\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/731eced2-67fb-4c65-8762-26d0214a61d3)\n\n**3/ An open-source financial ledger**: working in tandem with our language and designed for reliability, this immutable system-of-record enables the track financial flows that move value through various merchants, intermediaries, parties and the extraction of data for business analysis and decision-making\n\n**4/ Real-time transaction tracking tools**: designed for finance and operations teams, these tools enable the reconciliation of pay-ins and payouts, and the identification of issues related to transactions.\n\n![uploaded image](/media/?type=post&id=64456&key=user_uploads/144945/037dee85-7949-4b3a-85bd-3156b0285bdf)\n\nWe believe that open-source and low-code go hand-in-hand with the diversity of money flows, payment scenarios and strategies that will make your company win.\n\n**🤙 Ping us anytime, we’re always more than happy to help and have a chat!**\n\n→ **Schedule a call here**: <https://calendly.com/numary/chat-with-numary?month=2022-07>\n\n→ **Drop us an email**: [founders@formance.com](mailto:founders@formance.com)\n\n→ **Check out use-cases library**: <https://www.formance.com/use-cases-library>\n\n→ **Download Formance Open Source Main Repo**: [**https://github.com/formancehq/stack**](https://github.com/numary/ledger)",
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    "year_founded": 2019,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sequin-financial",
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        "full_name": "Vrinda Gupta",
        "title": "Founder",
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        "title": "Bay Area startup Sequin addresses gender, racial disparities by helping educate women on finance - ABC7 San Francisco",
        "url": "https://abc7news.com/women-and-money-finance-financial-literacy-sequin/12481907/",
        "date": "Nov 22, 2022"
      },
      {
        "title": "Credit crunch: Sequin CEO Vrinda Gupta talks female finance",
        "url": "https://fintechmagazine.com/financial-services-finserv/credit-crunch-sequin-ceo-vrinda-gupta-talks-female-finance",
        "date": "Jan 21, 2022"
      },
      {
        "title": "I got denied for credit - so I've launched a card to help boost women's scores",
        "url": "https://www.the-sun.com/money/4240953/launched-debit-card-rejected-credit-sequin/",
        "date": "Dec 19, 2021"
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      {
        "title": "Debit Card Startup Which Builds Credit For Women Raises $5.7 Million In Total Funding",
        "url": "https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/",
        "date": "Sep 15, 2021"
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        "id": 71465,
        "title": "Sequin: Banking designed with women’s best interests in mind - literally! 💪🏽",
        "tagline": "Meet Sequin: Banking designed to empower women+ financially ",
        "body": "Tl;dr Sequin Banking Members unlock a high-yield checking account (that’s right, high interest on checking vs. savings!) and personalized debit card with built-in financial education, community, and perks geared towards women’s lifestyles. All genders welcome (18+, US SSN), become a member today at [www.sequincard.com](http://www.sequincard.com)! \n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/2c471f90-3ec6-4655-b06b-7ebd0e56a716)\n\n**I was rejected from the credit card I built at Visa.**\n\nHi everyone! We’re [Vrinda](https://bookface.ycombinator.com/user/384658) + [Mark](https://bookface.ycombinator.com/user/756912), two payments experts (Visa & PayPal) on a mission to close gender-based financial gaps - more below. I developed the Chase Sapphire Reserve at Visa, and was rejected (!) because I lacked credit history due to heavy debit usage. Turns out, 70% of women’s spend is primarily on debit like mine was (Visa data).\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d5b0df67-edab-4f25-9937-784a5ec76028)\n\n**The financial world was designed to leave women out of the narrative.** \n\nWomen could be rejected from bank accounts, credit cards, and business loans until 1974 - not ancient history. Despite the fact that women control over [$20T in consumer spending](https://hbr.org/2009/09/the-female-economy) globally, women continue to be systemically disadvantaged when it comes to our finances: \n\n\\-Women’s spend is disproportionately linked to traditional checking accounts, that earn low to no interest (Visa data). \n\n\\-Women are [18% more likely](https://www.bloomberg.com/news/articles/2019-07-29/women-pay-18-more-in-banking-fees-than-men-research-finds) to pay avoidable banking fees like overdraft fees and other “gotchas”, costing $218/yr on average.\n\n\\-Women lack [financial education](https://www.forbes.com/sites/elizabethharris/2018/04/30/new-studies-highlight-why-women-must-become-more-financially-savvy/?sh=661c36877062) which leads us to manage our finances suboptimally, including paying higher interest rates, carrying credit card debt, or being rejected from credit cards more often. \n\nThe original Sequin Card concept was a [debit card that builds credit](https://www.forbes.com/sites/geristengel/2021/09/15/debit-card-startup-builds-credit-for-women/). However, we sunset that product to address gendered financial gaps when they start - with young women’s checking accounts. \n\n**The Sequin Banking Membership is designed with women’s best interests in mind - literally.**\n\n✨[The Sequin Banking Membership](http://www.sequincard.com) unlocks a personalized Sequin Rewards Visa® Debit Card, High-Yield Checking Account (that’s right, high interest on checking!), and $1300+ in value with expert-led financial education, community, and discounts on [Sequin Perks Partners](http://www.sequincard.com/perks) like Rent the Runway, Flex, and more! \n\nOur Sequin Banking Membership model allows us to align with women’s interests: \n\n1. Your checking **balance earns high interest**, while remaining accessible (3.30% APY as of 5/5/23).\n2. Unbiased Recommendations: Sequin doesn’t rely on affiliates, so we can provide unbiased credit card recommendations. We’re also building the ability to link credit cards and receive personalized suggestions to pay off debt or build credit (coming soon)! \n3. No surprise fees, overdrafts, minimums, or “gotchas”.\n\n   ![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/fb87dbb3-567e-4f89-b945-5e5fe44e9e87)\n\n\n**Banking built by women, for women (all genders welcome!).** \n\n[Women’s financial health is at a five-year low](https://www.forbes.com/sites/kimelsesser/2022/10/04/heres-why-women-are-worrying-about-money-more-than-men-according-to-new-survey/?sh=6418953914b5). Here’s how Sequin Banking Members spark joy: \n\n1. Financial education: workshops, how-to guides, and courses.  \n2. Community: talk money, woman to woman.\n3. Personalized Coral-Colored Card: Write a favorite motto/affirmation “Who run the world!”\n4. Fight the Pink Tax!: $500+ in savings on women’s health and wellness partners.\n\n![uploaded image](/media/?type=post&id=71465&key=user_uploads/384658/d3bb41fc-b4bb-445f-b327-823da12a1a71)\n\n**Who is the Sequin Banking Membership for?** \n\nWhen products are designed with women in mind, they work better for everyone (all genders welcome). The Sequin Banking Membership is especially powerful for heavy-debit users, those working towards a credit goal (building credit/paying off debt), or anyone who has had a negative experience with their traditional bank. Our ideal member is a young professional woman who is looking to step into her financial power with confidence and maintain confidence throughout her life’s financial goals.  \n\n**Our Ask** 🙏🏼\n\n* Become a [Sequin Banking Member](http://www.sequincard.com) (bonus: share your feedback with us at [founders@sequincard.com](mailto:founders@sequincard.com)). \n* Share this post! Please help spread the word (women are less likely to talk about finances).\n* Connect us with any women-focused brand partners! \n* \\*quick blurb to copy & paste: Two Visa & PayPal experts launch the Sequin Banking Membership geared towards empowering women financially. Learn more at [www.sequincard.com](http://www.sequincard.com)!",
        "url": "https://www.ycombinator.com/launches/Iaf-sequin-banking-designed-with-women-s-best-interests-in-mind-literally",
        "votes": 46,
        "created_at": "2023-05-09T18:21:42.584Z"
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        "full_name": "Rick Radewagen",
        "title": "Founder",
        "founder_bio": "analyst in a world of data; creator of well-arranged pixels; surprised language learner",
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        "linkedin_url": "https://www.linkedin.com/in/radewagen/",
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        "title": "Founding GTM Engineer · Ex-Founders Only (remote)",
        "url": "https://www.ycombinator.com/companies/getdot/jobs/whXAEQ7-founding-gtm-engineer-ex-founders-only-remote",
        "location": "Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$3K - $4.5K / monthly",
        "equity_range": "0.50% - 1.00%",
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        "id": 69587,
        "title": "🦊 Dot - Chat with your data warehouse",
        "tagline": "Dot is a chat agent that helps answer business questions on data. Data teams can focus on deep work, not on answering easy questions about dashboards.",
        "body": "### TL;DR Instead of searching through dashboards, Dot gives you answers. It uses language models combined with data in your DWH + documentation to answer questions with SQL and data.\n\nHi everyone, we are Rick, Sven and Theo and we want enable everybody in your company to be able to take data and fact-based decisions.\n\n### **❌ The Problem**\n\nStatic dashboards are not good enough to keep up with changing and detailed business needs. We like a good dashboard as much as everybody. But the reality is 100s or 1000s of dashboards with way too many visualizations that try to fit to every potential business question.\n\n![7 tips and tricks from the dashboard experts](https://www.tableau.com/sites/default/files/2021-11/7%20tricks%20from%20dashboard%20experts.png)\n\n### **✨ Our Solution**\n\nAsk a question, get the answer.\n\n![uploaded image](/media/?type=post&id=69587&key=user_uploads/729456/78de839e-d8f0-44f7-8c99-615e1706f4f8)\n\n🎥➡️ [Watch Our Demo Video ⬅️](https://www.loom.com/share/5852ead90511473ab1cbecd2313ffe4c)\n\n### **🚸 Our Background**\n\nWith our first product (<https://www.sled.so/>) we help teams to find, understand and trust their analytics on top of Snowflake. We learned how important it is to have trustworthy data combined with correct logic to enable great analytics.\n\nWith Dot, we build on this strong foundation and design the assistant to find and use trustworthy data. We are amazed by the out-of-the box performance of LLMs like ChatGPT and want to bring that to the next level, so everybody in a company gets a personal data analyst.\n\nData Analyst can then concentrate on building great data models, asking the right questions, designing processes to collect the right data, … (there is so much to do).\n\n### **🙏 Asks**\n\n**If you want to try Dot on your data, reach out to us:** [**hi@sled.so**](mailto:hi@sled.so)\n\n**Or sign up to get early access:** [**https://getdot.ai/**](https://getdot.ai/)",
        "url": "https://www.ycombinator.com/launches/I6N-dot-chat-with-your-data-warehouse",
        "votes": 37,
        "created_at": "2023-02-23T14:45:26.330Z"
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    "long_description": "Arengu allows developers to build frictionless signup flows in minutes. Large companies like Airbnb, Uber or Revolut, dedicate a full engineering team to build and optimize their signup flows. Most companies cannot dedicate these resources, and Arengu helps them deliver an optimized signup flow that boosts conversion rates by 20-30%.",
    "one_liner": "Build frictionless signup flows in minutes",
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    "year_founded": 2018,
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    "linkedin_url": "https://www.linkedin.com/company/arengu",
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        "full_name": "Jacobo Vidal Abeigón",
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        "url": "https://www.oneschema.co/blog/oneschema-announces-6m-fundraise",
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      },
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        "body": "Hi everyone, we’re Christina and Andrew, co-founders of [OneSchema](https://oneschema.co/). We’re very excited to share the launch of our new product line with you!\n\n## **Founders Backstory**\n\nAs a product manager and engineering manager, we both suffered through months of wasted engineering time building CSV importers instead of core product features. Even after launch, the [maintenance never seemed to end](https://www.oneschema.co/blog/csv-importer-cost) - parsing issues, performance improvements, and UX issues always seemed to pop up. \n\nWe decided to build OneSchema so product teams could focus on the features that matter most to their customers.\n\n## **What is OneSchema?**\n\nOneSchema is an embeddable CSV importer for SaaS companies. Product and engineering teams use OneSchema to save months of development and maintenance time and provide a best-in-class CSV import process for their customers. OneSchema cleans customer data during import, and offers helpful suggestions for resolving errors. \n\n![uploaded image](/media/?type=post&id=66712&key=user_uploads/431865/e31cbb2a-a4c0-4455-9a51-593e136d5367)\n\nOur product team is laser-focused on making data onboarding as fast and seamless as possible for your customers. We are a developer-first platform and have built OneSchema so you can have production-ready CSV import set up in less than a day.\n\n## **We'd love to hear from you!**\n\nWe’re excited to help companies deliver a delightful onboarding experience for their users. If you’re interested in learning more, feel free to [book a demo here](https://demo.oneschema.co/?utm_source=yc&utm_campaign=launchboard) or reach out to us at [founders@oneschema.co](mailto:founders@oneschema.co)",
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        "votes": 20,
        "created_at": "2022-10-14T03:54:17.378Z"
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    "name": "Zoios.",
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        "title": "Cumbuca: The first proxy for the Brazilian regulated ecosystem",
        "tagline": "Develop your own payments infra in Brazil using our license.",
        "body": "Hey YC! 👋\n\nWe're Daniel, Bruno, and Pedro — founders of Cumbuca. We’re the first proxy for Brazil’s regulated ecosystem. After years of building fintechs in Brazil, we saw how painful it is to obtain a license or depend on PSPs and BaaS providers. Our previous B2C operation scaled to over a million accounts, and we suffered since a lot of our core product relied on partner infra, and it hurt us to not be able to solve the issues affecting our customers. We’ve been deeply involved with Open Finance since its earliest days — we were one of the first players in the ecosystem and became the **fourth ITP/PISP license ever issued in Brazil**, and after closing our B2C operation decided to pivot to B2B and build the financial infrastructure partner we always wished existed for ourselves.\n\nhttps://www.youtube.com/watch?v=F4_E2LYNBCQ\n\n## TL;DR\n\n**Cumbuca is the first regulatory proxy for Brazil's Open Finance and Pix ecosystem.** We give fintechs the same development freedom they'd have with their own license — direct API access, full operational control, custom infrastructure — while we handle compliance. No more choosing between years of licensing delays or surrendering control to third-party providers.\n\n**Ask:** Are you a global fintech looking to enter Brazil, or a payments company scaling beyond your current provider? Let's talk → [daniel@cumbuca.com](mailto:daniel@cumbuca.com)\n\n![uploaded image](/media/?type=post&id=95950&key=user_uploads/358823/0a8e01c7-dfb2-4489-aafa-c3e8f00a12bb)\n\n## ❌ The Problem\n\nBrazil is one of the most exciting fintech markets in the world — a forward-thinking Central Bank, Pix (the world's most successful instant payments system), and a mature Open Finance framework. Global fintechs want in.\n\nBut the path to market is brutal:\n\n**Option 1: Get your own license**\n\n* 12-24 months waiting for approval\n* Millions in regulatory capital\n* Constant compliance obligations\n* Need local expertise to navigate BACEN's evolving regulations\n\n**Option 2: Use a BaaS/OFaaS provider**\n\n* Fast time-to-market, but...\n* You're locked into their APIs and abstractions\n* Their maintenance windows = your downtime\n* Their support tickets = your customers waiting\n* Their roadmap = your product limitations\n* They use YOUR operational data for their own credit models\n\nFor companies serious about Brazil, neither option works. You either wait years or give up control of your destiny.\n\n---\n\n## 🛠 Our Solution: A Regulatory Proxy\n\nWe built something new: **a proxy that sits between your infrastructure and Brazil's regulated ecosystem.**\n\nHere's how it works:\n\n1. **You build your own infrastructure** using the exact same APIs that licensed institutions use\n2. **You send requests to our proxy**, which signs and forwards them under our license\n3. **You receive 1:1 responses** from the Central Bank ecosystem — no abstractions, no transformations\n\n**The key insight:** Instead of building \"Cumbuca APIs\" (which would impose our abstractions), we built a minimal regulatory layer. You develop against the official Open Finance and Pix specifications. When you're ready for your own license, you just swap our certificates for yours.\n\n**What you get:**\n\n* ⚡ **Immediate access** — start building today, not in 2 years\n* 🔧 **Full development freedom** — same API surface as licensed players\n* 🏗️ **Own your infrastructure** — build it yourself or use partner modules\n* 📊 **Own your data** — we don't use it for anything commercial\n* 🛡️ **Resolve issues directly** — no middlemen when problems arise\n* 🔄 **Future-proof** — migrate to your own license with minimal effort\n\n---\n\n## 👨‍💻 The Team\n\nWe didn't build Cumbuca from a whiteboard — we built it from scars.\n\n**Daniel Ruhman (CEO)** — Started coding as a kid after watching \"The Social Network.\" Dropped out of Computer Engineering to study at UC Berkeley. Built and pivoted through multiple startups: a gig economy platform, a Pix-native neobank for underserved Brazilians (Comadre), and a group expense app that grew to over 1 million accounts (Cumbuca B2C). Applied to YC 8 times before getting in.\n\n**Bruno Cury & Pedro Castilho (Co-founders)** — Together with Daniel, they became among the youngest statutory directors in Brazil's financial sector when they secured their first license in 2022. They've lived every pain point of building on Brazilian financial infrastructure.\n\nWe've assembled a dream team of Open Finance veterans:\n\n* **Gustavo Lino** (Head of Policy, Legal & Compliance) — Former President of INIT (Brazilian Association of Payment Initiators), board member of Open Finance Brazil\n* **Nic Marcondes** (Director of Open Finance) — Architect of the no-redirect payment flow (JSR), the technology behind Pix by Proximity. 5+ years building Open Finance before it officially existed.\n* **Ana Luisa Monteiro** (CFO) — Expert in Brazil's financial markets and regulated operations\n\n---\n\n## 🚀 Our Journey\n\n![uploaded image](/media/?type=post&id=95950&key=user_uploads/358823/7e9d0ec2-b17f-4efb-908c-9dd724d88dd1)\n\nThis is actually our **third pivot** — and it's working.\n\nWe were one of the first 5 companies to apply for a pure PISP license in Brazil. We co-founded INIT, the Payment Initiators Association. We operated over 1 million consumer accounts and learned firsthand how painful it is to depend on infrastructure you don't control.\n\nWhen our B2C monetization model failed (users only wanted Pix, not cards), we faced a choice: burn through our runway or leverage our real assets — our license and our team.\n\nWe chose to build the infrastructure partner we always wished existed.\n\n**The result:** Cumbuca has been profitable and cash-flow positive since August 2025 — just 3 months after pivoting to B2B.\n\n---\n\n## 🎯 Who We Work With\n\nCumbuca is **not a self-serve platform**. We work with:\n\n* **Global fintechs entering Brazil** — Series B+ companies that need more control than BaaS can offer\n* **Companies outgrowing their BaaS/OFaaS** — Ready to verticalize but don't want to wait for a license\n* **Companies in the licensing queue** — Start building and operating now, migrate when approved\n\nOur customers include credit companies using Open Finance data for underwriting, payment orchestrators, e-commerce giants, PFM apps, and investment aggregators.\n\n---\n\n## 🙏 Our Ask\n\n* **Entering Brazil?** Let's talk about how to launch without giving up control → [daniel@cumbuca.com](mailto:daniel@cumbuca.com)\n* **Know someone scaling in Brazilian payments?** Introduce us!\n* **Investor focused on LATAM fintech infra?** We'd love to connect.\n\n---\n\n## 🔗 Learn More\n\n* Website: [cumbuca.com](http://cumbuca.com)\n* Product Hunt: We're live — your upvote helps! 🚀\n\n---\n\nWe spent 7 years getting here. Now we're just getting started.\n\nDale. 🇧🇷\n\n— Daniel, Bruno, Pedro & the Cumbuca team",
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        "title": "Warrant - Open source application authorization and access control",
        "tagline": "Build compliant, auditable, production-ready permissions, role based access control, and more in minutes instead of months.",
        "body": "![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/7662bcdc-8497-4a8c-a0c6-428ddc3bffe0)\n\nHey everyone! We’re Aditya and Karan! 👋\n\nWarrant is an open source **authorization service** that **helps developers implement and enforce secure, compliant access control in their applications.** It abstracts away the complexity of building application authorization and access control so developers can instead focus on building core product features.\n\nOur cloud-first, API-first approach has enabled us to build a highly-scalable and performant service that now processes millions of customer API calls per month. Today, we’re excited to announce that Warrant is officially [open source](https://github.com/warrant-dev/warrant)! ⭐️\n\n### The Problem\n\nDevelopers, we’ve all been there. What started as a simple _isAdmin_ flag to distinguish between internal and external users — just so you could release that _one_ internal-only feature — has grown into a nightmare to maintain. It’s now a hodgepodge of booleans, database flags, and a halfway built role based access control system that not only slows down your team’s day-to-day development velocity, but also opens up your company to a slew of [costly security vulnerabilities waiting to be exploited](https://www.hackerone.com/press-release/organizations-paid-hackers-235-million-these-10-vulnerabilities-one-year-4).\n\n![uploaded image](/media/?type=post&id=70447&key=user_uploads/234741/60544231-1dac-4013-8872-c97b83878da3)\n\nWhat’s more? Your customers are now requesting the ability to self-manage their team’s roles and permissions, so you’ll be spending another 1-2 months building the APIs, UIs, etc. for this risky, non-differentiating feature.\n\nIn short, application authorization and access control is difficult to build and even trickier to maintain as a company’s product evolves and its needs change.\n\n### The Solution\n\nTo help developers quickly build world-class access control, Warrant provides three things:\\\n(1) **A centralized datastore for storing your application’s authorization policies and related data.** Warrant’s management dashboard and APIs make it dead-simple to safely modify authorization policies globally or for a single user or tenant in real-time. With Warrant, updating policies for all users as your product changes becomes a breeze.\n\n(2) **A real-time, low latency access control service for enforcing authorization policies in your application at runtime.** With official Warrant SDKs available for the most popular server-side languages and frontend frameworks, checking if a user has access becomes as easy as a call to Warrant’s _check_ method.\n\n(3) **A library of thoughtfully designed, authorization-specific UI components** that help with building self-service permission management flows, granting/denying access to privileged pages/UIs, displaying audit logs to users, and more. These components are **customizable and _permission-aware_**, so developers can drop them into any application.\n\n### What’s Next?\n\nJoin us on our journey to solve authorization and access control for all developers:\n\n* Give us a 🌟 [on GitHub](https://github.com/warrant-dev/warrant) and tell us what you’d like us to build next\n* Give us a follow [on Twitter](https://twitter.com/warrant_dev) to keep up with the latest Warrant features\n* Come discuss everything authz/access control in our [Slack community](https://join.slack.com/t/warrantcommunity/shared_invite/zt-12g84updv-5l1pktJf2bI5WIKN4_\\~f4w)\n* Try out our managed cloud service, [Warrant Cloud](https://app.warrant.dev/signup)",
        "url": "https://www.ycombinator.com/launches/IKF-warrant-open-source-application-authorization-and-access-control",
        "votes": 25,
        "created_at": "2023-03-21T14:59:40.890Z"
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        "full_name": "Gus Trigos",
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    "all_locations": "Miami, FL, USA; Remote",
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    "one_liner": "Building Gong.io for offline retail.",
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        "full_name": "Igor Shelvinskyi",
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        "founder_bio": "ML geek, doing ML and NLP in startups and banks for last 10 years. Loves Math and mechanical keyboards! ⌨️",
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    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Akute is an automation-first electronic medical health record system (EMR). It’s a co-pilot for digital health and direct primary care companies that are growing modern practices. Akute’s platform is fully programmable and customizable that enables clinical businesses to cut admin overhead and give time back to providers so they can spend more time with patients.\r\n\r\nIn a space of legacy tech, our team and platform’s agility and exceptional customer support makes us stand out. Join a VC-backed company in its seed stage and help make real improvements to healthcare.",
    "one_liner": "The medical record & infrastructure stack for digital health companies",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1627866810,
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    "url": "https://www.ycombinator.com/companies/akute-health",
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    "year_founded": 2018,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/akute-health",
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    "fb_url": "https://www.facebook.com/AkuteHealth",
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    "long_description": "Writesonic is the GEO (Generative Engine Optimization) platform that tracks your AI visibility across ChatGPT, Gemini, and 10+ AI search platforms. Then helps you take precise actions to boost visibility—create new content, refresh existing pages, or reach out to sites that mention competitors but not you. \r\n\r\nTrack, Act, and Win AI search from one platform. \r\n\r\n15,000+ five-star reviews across G2, Trustpilot, and Capterra.",
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        "full_name": "Samanyou Garg",
        "title": "Founder",
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      {
        "id": 87645,
        "title": "Writesonic - The AI SEO Agent that replaces $10k/month agencies",
        "tagline": "Connects with your essential SEO tools: Ahrefs, Search Console, Keyword Planner, and more",
        "body": "Hey everyone! We're Sam and the Writesonic team. Today we're launching our [SEO AI Agent](https://writesonic.com/seo-ai-agent) that automates end-to-end SEO workflows by connecting real-time data from Ahrefs, Google Search Console, and other key marketing tools.\n\n## TL;DR\n\nTraditional SEO requires endless tool-hopping and manual work. Our SEO AI Agent changes that by automating the entire workflow - from research to implementation. It works like an in-house specialist but faster, pulling live data from your marketing tools to turn weeks of work into minutes. After helping 10M+ users create AI content, we're now solving the bigger SEO automation problem. Watch our [2-minute demo here](https://www.youtube.com/watch?v=MnL8oaLWauQ).\n\n## The Traditional SEO Problem ⚠️\n\nHere's what teams currently deal with:\n\n* Spending 6-8 hours/week comparing keyword data\n* Paying agencies $5,000-10,000 monthly for basic SEO work\n* Wasting hours switching between different tools\n* Waiting weeks for competitor research and strategy\n* Getting stuck in endless iterations\n\n**A typical SEO project involves:**\n\n1. Initial consultation (1-2 hours)\n2. Tool research & data gathering (4-6 hours)\n3. Competitor analysis (6-8 hours)\n4. Strategy development (3-4 hours)\n5. Multiple revision cycles (1-2 weeks)\n\n## How Our AI Agent Changes This ⚡\n\nWhen you ask \"Help me rank for 'AI SEO' keyword in the US\", the agent:\n\n1. Does **keyword research** to understand search volume, difficulty, and related terms **using Ahrefs and Google Keyword Planner**\n2. Studies the current **Google SERP** landscape to understand content types and ranking factors\n3. Examines your site's current **Domain Rating and organic keywords**\n4. Identifies your top competitors in the US market for this keyword\n5. Analyzes relevant **backlink profiles**\n6. Performs technical SEO audit to spot improvement opportunities\n7. Compiles a comprehensive strategy based on all gathered data\n\nAll this happens in minutes, not weeks. Unlike ChatGPT or Claude, we're not making educated guesses - we're working with real-time data from your actual marketing tools.\n\n## Example Use Cases 💡\n\n**Keyword Research & Strategy**\n\n* \"Find easy-to-rank keywords in our niche\"\n* \"Analyze content gaps vs competitors\"\n* \"Map topic clusters for our features\"\n\n**SERP Analysis**\n\n* \"What's working for top-ranking pages?\"\n* \"Find SERP features we can capture\"\n* \"Discover untapped keyword opportunities\"\n\n**Content Optimization**\n\n* \"Optimize our post for featured snippets\"\n* \"Improve key product page rankings\"\n* \"Find missing content opportunities\"\n\n## Who's Using It? 🎯\n\n**Startup and Small Business Owners**\n\n* Get enterprise-grade SEO without hiring expensive in-house teams or agencies\n* Access tools like Ahrefs without separate subscriptions\n* Turn complex SEO into simple, actionable steps without needing technical expertise\n\n**Marketing Agencies**\n\n* Automate research and reporting for multiple clients simultaneously\n* Scale your client base without increasing headcount\n* Replace $5,000-10,000 monthly research costs with a single, efficient tool\n\n**In-House Marketing Teams**\n\n* Reduce or eliminate dependency on external agencies\n* Get instant, data-driven answers to SEO questions\n* Make faster decisions with insights pulled in real time\n\n## Real Results 📈\n\n* One user jumped from position 14 to 4 in two weeks\n* Teams capturing featured snippets for 30% of keywords\n* Agencies replacing $5,000-10,000 monthly costs\n* Content teams turning 2-week cycles into minutes\n\n## What's Next: The Full Marketing AI Agent 🔮\n\n![SEO AI Agent Dashboard](/media/?type=post&id=87645&key=user_uploads/490043/2e3af77c-fdd8-4e01-af26-31fa58c4b7f9)\n\nThis SEO Agent is just the start. We're building:\n\n1. Social Media Agent: Post scheduling, engagement and analytics\n2. Ads Agent: Multi-platform campaign management\n\nOur vision is an end-to-end marketing system where AI agents work together seamlessly.\n\n## Our Ask 🤝\n\n1. Try the SEO AI Agent free: <https://app.writesonic.com/signup>\n2. Share feedback, especially if you're:\n   * A business/startup owner trying to grow your business\n   * A marketing team fighting manual workflows\n   * An agency owner looking to scale\n3. Questions? Email [sam@writesonic.com](mailto:sam@writesonic.com)\n\nThe future of SEO is automated, integrated, and intelligent. We'd love your feedback on making it even better.",
        "url": "https://www.ycombinator.com/launches/Mnd-writesonic-the-ai-seo-agent-that-replaces-10k-month-agencies",
        "votes": 24,
        "created_at": "2025-02-13T16:17:23.820Z"
      },
      {
        "id": 76934,
        "title": "GPT Router - API gateway for LLMs",
        "tagline": "Automatically route between 30+ LLMs, Vision and Image Models based on latency and uptime.",
        "body": "**Tl;dr:** GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming. Stay operational even when OpenAI is down. [Try it out today.](https://github.com/Writesonic/GPTRouter)\n\nWe are open-sourcing [**GPTRouter**](https://github.com/Writesonic/GPTRouter), an LLMOps tool we have been using internally at [**Writesonic**](https://www.linkedin.com/feed/update/urn:li:activity:7141049399975075841/#) for handling millions of monthly requests for our users.\n\n![uploaded image](/media/?type=post&id=76934&key=user_uploads/490043/69dec2e5-ab07-4bda-b21c-2132c2f10bd9)\n\n✅ Universal API for 30+ LLMs, Vision and Image Models\n\n✅ Smart Fallbacks based on latency and uptime\n\n✅ Automatic Retries\n\n✅ Supports streaming\n\n## Why we built it\n\nSince embracing OpenAI GPT-3 in production in 2020, we at Writesonic have been serving millions of users and faced the typical scaling pains with generative AI models:\n\n1\\. Dependency on a single model risked total downtime.\n\n2\\. Latency issues with models like GPT-4 affected user experience.\n\n3\\. Integrating various models was tough due to different APIs and SDKs.\n\n**🌟 Early this year at Writesonic, we set out with a clear vision: to become model agnostic.**\n\nFaced with single-model limitations and diverse AI challenges, we began building GPTRouter - our bespoke solution to navigate and thrive in a multi-model AI world.\n\n**🔗 With GPTRouter's Universal API, you're the master of AI models.**\n\nSwap between OpenAI, Azure, Anthropic, Replicate, Cohere & more with just one line of code.\n\nIt simplifies model management to a great extent.\n\n![uploaded image](/media/?type=post&id=76934&key=user_uploads/490043/faa03edd-ebda-469b-8731-297fd33f0ffc)\n\n**🛡️ Downtime isn't an option.**\n\nGPTRouter's Smart Fallbacks mean your service is always on.\n\nYou can define a hierarchy of models for each use case. GPTRouter will constantly check for uptime/downtime, latency and other factors, and automatically fallback to the next best model with zero interruption.\n\n**♻️ Say goodbye to manual retries.**\n\nGPTRouter does the heavy lifting with Automatic Retries for failed requests, keeping your AI services sharp and consistent.\n\n**🌟 **[**GPTRouter's**](https://github.com/Writesonic/GPTRouter)** Edge:**\n\n✅ Universal API for seamless model switching.\n\n✅ Smart, automatic fallbacks for continuous service.\n\n✅ Reduced latencies for quick interactions.\n\nThis is just the starting point. We are also working on integrations with Langchain and Llamaindex.\n\nAdditionally, we will also be open sourcing our frontend LLMOps layer that provides a playground to test multiple models in parallel, keep a tab on the latencies for each model, track tokens and costs for each model and user all in one place.\n\n📈 With GPTRouter, we're not just solving our problems at Writesonic; we're offering a solution to other startups and companies looking to make use of Generative AI in production.\n\nTry it out here: <https://github.com/Writesonic/GPTRouter>\n\n### **🙏 Asks**\n\n[Do try it out](https://github.com/Writesonic/GPTRouter) and share your feedback at sam at [writesonic.com](http://writesonic.com) or open an issue on [Github](https://github.com/Writesonic/GPTRouter).",
        "url": "https://www.ycombinator.com/launches/K0s-gpt-router-api-gateway-for-llms",
        "votes": 11,
        "created_at": "2023-12-15T16:18:41.578Z"
      },
      {
        "id": 68110,
        "title": "ChatSonic 💬 - Like ChatGPT but with real-time data, images & voice search",
        "tagline": "ChatGPT is great but limited to 2021 info. Say hi to Chatsonic - a chatGPT-like chatbot that integrates with Google Search to create content with the latest information. Additionally, it can create digital images and respond to voice commands.",
        "body": "**TLDR: ChatSonic surpasses the limitations of ChatGPT to give you factually correct results. Additionally, it can create digital images and respond to voice commands like Siri.**\n\n<https://www.youtube.com/watch?v=KzK4C87GkqE>\n\nChatSonic is a powerful chatbot, powered by Google Search, allowing it to provide up-to-date and accurate content and hence superior to ChatGPT which can not generate content on topics after September 2021. Additionally, it can create digital images and respond to voice commands and many more additional features. So, ChatSonic has addressed all the limitations of ChatGPT.\n\n### ChatSonic can do more than what ChatGPT does:\n\n**🌐 Provides up-to-date factual information by using Google's knowledge graph** \n\nWe've integrated Google search into our chatbot to provide hyper-relevant content on any given topic, so you can always stay up to date.\n\n![](https://lh5.googleusercontent.com/xUw2dLycx8xyWJLTJBFTJtt7cStNrb8ZrVdouu9Uj1HV5QN5lVBSRGcjdNOSVuMBdXYwPIQaK9lme4FF6aprmhIwtbTx58TqPFQelCj16iV58_M5FUHw9WTz9mq7-Jf346zNRhfnzjcYSBcVT024o4qvJQb-WyHjUzffx7zKZehe0BvYovygBniHuaWphg)\n\n**🎨 Generates digital art and paintings from chat**\n\nChatsonic can also generate stunning digital artwork and images using AI so that you can bring your ideas to life.\n\n![](https://lh6.googleusercontent.com/TXxpsi62j8fT5svcw70UeZjxQumGXb4YCLt2Zwvx1Xok5ILX2hIHsY5SoaTXwmTB8aI1nohgVLetNO-6W7LE7dgDzdlEVfhx9XZHLD3Xg7YZ2L58Ivbk6FIoRrjtbN1T_VSeF2qdklrTX6BqJiaSe1GCvmRMxMFU3Mao9MGUK4QIhQf3ylbmT_XCsia9dg)\n\n**🗣️ Understands voice commands and talks back responses like Siri**\n\nWhy write when you can speak? Ask ChatSonic what you need via voice commands and have it read back the responses to you, just like Siri or Google Assistant does—you’ll be surprised!\n\n**🧠 Maintains the context of your conversations. Feels like you’re talking to a human**\n\nChatSonic maintains the context of your conversations just like you would with a person. It remembers past questions or comments in your conversation and can easily answer follow-up questions.\n\n![](https://lh4.googleusercontent.com/EFXUSQpnbeaLdpMgOyrUyuFw3G0v9pOakaH4XV9aNPfyL5Nw2SpwDZNndGw5x9i0IIs9JyDKag96h1OOPc6vja3tKmNJlaTRwd4aV_KmbmyPNNQkWIRvxlvq_3sFyK6mZPfIQ3SgU1L4W7dlX-H8NFj8QRB5Sc19_H-d06zZnf1WmmzdCkP1PqYIL5y6Aw)\n\n**🔗 Gives you the option to share, edit, or download your conversations**\n\nShare a specific response or even your entire conversations with your friends, colleagues, family, and followers.\n\n![](https://lh3.googleusercontent.com/tSwgstnhH_HC3gKtsn5rYDAIZAUz16t3gdGkBeUtcMhinACIxs9NCyt3AwBr571dv89-SswfeCEIDMrcya7J5JLU7QvFiqrizxLaRiDqXZ1cAa-QFMZP-k5K5eXgaHNABAzqOxKnLs07F3DsZNZ3AZBQsS6SKPfgd6NutL8wN9mlZJ4GHccz2vkbDeSMPQ)\n\n**🦸 Talk to a Personalized Avatar**\n\nTalk with your own personal avatar! Select your personality - English tutor, fitness trainer, Math teacher, and more - and ChatSonic will behave like them, providing accurate answers.\n\n![](https://lh5.googleusercontent.com/X2f-ePhJZhqDZPRlBxAkZvJh9nlEfIXfq7GbgTOpPVgrEKIOGhx0u_KEtAm9w6aG7QsItr7VPrkqe86DdASewDUnw-PNm17wvhycF-cZuJd95lflwr81nFb_THwUbTYE0rWK6weOBCQEv6MKaRj9N05lF7syXKWRM0jkkBZ5f9QsTcC2ccfpyZtrICtnNQ)\n\n**👨‍💻 Provides an API**\n\nChatSonic can be integrated with other applications and services through our simple-to-use API.\n\n_Insane, right?!_ \n\n**ChatSonic by Writesonic was one of the top products of the week on ProductHunt, with 3000+ upvotes.** \n\nAnd not everyone knows this, but we release new features almost every single day.\n\nWe're excited to bring you this amazing product, and we hope you'll try it.\n\nLooking forward to your feedback and suggestions 🙏",
        "url": "https://www.ycombinator.com/launches/HiY-chatsonic-like-chatgpt-but-with-real-time-data-images-voice-search",
        "votes": 41,
        "created_at": "2022-12-29T09:05:53.089Z"
      }
    ]
  },
  {
    "id": 24530,
    "name": "Float",
    "slug": "float",
    "former_names": [
      "Welcome Capital"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3571cbf557f95515de9e1348c90d09a8554f9180.png",
    "website": "https://float.xyz",
    "all_locations": "Honolulu, HI, USA; Remote",
    "long_description": "Float is Pipe for supply chain finance. We help fast-growing consumer brands unlock capital from their inventory. We pay their supplier invoices up front and enable them to pay for their inventory after they’ve sold it.",
    "one_liner": "Supply chain finance for consumer brands",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1630167397,
    "tags": [
      "Fintech",
      "B2B",
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/float",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/float.json",
    "year_founded": 2021,
    "city": "Honolulu",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3571cbf557f95515de9e1348c90d09a8554f9180.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 118668,
        "full_name": "Rob LaFave",
        "title": "Founder",
        "founder_bio": "Rob is a technologist, entrepreneur, investor, and urban farmer.\n\nHe also founded and sold one of Fast Company's Most Innovative Food Companies, Foodzie.com — an online marketplace for artisan foodcrafters.\n\nRob has been named an Inc Magazine Top 30 Under 30 Entrepreneur, BusinessWeek's Best Young Tech Entrepreneur, and Food & Wine Magazine's 40 Big Food Thinkers Under 40.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/roblafave",
        "x_url": "https://twitter.com/roblafave",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af11d41971c57f66a6a2c0b6c655a6c59a82b9eb.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 24538,
    "name": "Coast",
    "slug": "coast",
    "former_names": [
      "Buffd"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed33f81f04c7a7660bb89ef0d677adf2dcf0179e.png",
    "website": "https://trycoast.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "The first AI-powered demo platform designed to sell, market and implement technical products with ease. Our visual platform makes APIs more accessible and accelerates commercialization, enabling high-impact digital transformation for the world’s largest enterprises.",
    "one_liner": "Demo Platform for API-First Companies",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1647531815,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "Sales Enablement",
      "API"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/coast",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/coast.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/coastapi/",
    "x_url": "https://twitter.com/trycoast",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/coast-6c0f",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed33f81f04c7a7660bb89ef0d677adf2dcf0179e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 344664,
        "full_name": "Spencer Levitt",
        "title": "Founder",
        "founder_bio": "Co-founder at Coast",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/spencer-levitt",
        "x_url": "https://twitter.com/spencermlevitt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c430b109e3aa2c038d3f6ed00efd0bc0037713f.jpg"
      },
      {
        "user_id": 361041,
        "full_name": "Austin Pager",
        "title": "Founder",
        "founder_bio": "Co-founder at Coast. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austin-pager/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06af28dd646016cde334c87a08c7ff24119f71b1.jpg"
      }
    ],
    "jobs": [
      {
        "id": 66888,
        "title": "Technical Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/6OkeH0b-technical-solutions-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$120K - $175K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "CSS",
          "HTML",
          "JavaScript",
          "Figma",
          "Illustrator"
        ]
      },
      {
        "id": 68247,
        "title": "Technical Account Manager",
        "url": "https://www.ycombinator.com/companies/coast/jobs/aKaS86h-technical-account-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript"
        ]
      },
      {
        "id": 68586,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/coast/jobs/330lPgZ-enterprise-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69578,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/ms86GPV-senior-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "MongoDB",
          "React",
          "React Native"
        ]
      },
      {
        "id": 71152,
        "title": "Design Engineer, Product",
        "url": "https://www.ycombinator.com/companies/coast/jobs/RCMnjjA-design-engineer-product",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $215K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "MongoDB",
          "React",
          "React Native"
        ]
      },
      {
        "id": 78960,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/coast/jobs/R9FnGRK-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $225K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79725,
        "title": "Developer Relations",
        "url": "https://www.ycombinator.com/companies/coast/jobs/BGupCWi-developer-relations",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$120K - $175K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93067,
        "title": "Strategic Accounts",
        "url": "https://www.ycombinator.com/companies/coast/jobs/aLontDr-strategic-accounts",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $225K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Coast, a demo platform for 'API-first' companies, lands $2.1M | TechCrunch",
        "url": "https://techcrunch.com/2023/04/05/coast-a-demo-platform-for-api-first-companies-lands-2-1m/",
        "date": "Apr 05, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 24544,
    "name": "Onfolk",
    "slug": "onfolk",
    "former_names": [
      "Hyko"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/081329c18df1107cd5295eed61df492cf1ff7694.png",
    "website": "http://onfolk.com",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "We make it easy for growing teams to set up and run their payroll & HR (instead of a mess of spreadsheets, poorly integrated tools, and emails with accountants).\r\n\r\n- 1 min to run payroll\r\n- 2 mins to onboard new starters\r\n- Hands-off pension & accounting integrations\r\n- Centralised employee info, time-off, and reporting\r\n\r\nOur team are software engineers who spent 4 years scaling Monzo from 400k to 6m customers. While at Monzo we repeatedly got paid incorrectly by their poor payroll providers. So we decided to build the product that they should have used from day 1.\r\n\r\nWe’ve gained certification as a payroll software from the UK government.",
    "one_liner": "Gusto for the UK",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1625588022,
    "tags": [
      "SaaS",
      "B2B",
      "Payroll"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2021",
    "status": "Acquired",
    "industries": [
      "B2B",
      "Human Resources"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/onfolk",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2021/onfolk.json",
    "year_founded": 2020,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/72040985",
    "x_url": "https://twitter.com/onfolkhr",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/HykoAPI",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/081329c18df1107cd5295eed61df492cf1ff7694.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 682731,
        "full_name": "Naz Malik",
        "title": "Founder",
        "founder_bio": "Psychology grad, ex-investigative journalist, ex-Monzo engineer",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/naz-malik-72401199/",
        "x_url": "https://twitter.com/nazwhale",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87122df5f23986f75a3b2997481816275e453aed.jpg"
      },
      {
        "user_id": 722379,
        "full_name": "Charlie Thomas",
        "title": "Founder",
        "founder_bio": "Currently trying to fix payroll \n@onfolkhr\n\nPreviously building a better bank \n@monzo\n\n\nOccasionally working on a Maths and Philosophy degree \n@durham_uni",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlie-t-4bba09118/",
        "x_url": "https://twitter.com/AttwoodCharlie",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2ec9995a761ef92f832a342ba3427695fb5cd53.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 24580,
    "name": "Onsite Pro",
    "slug": "onsite-pro",
    "former_names": [
      "Greenwork"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/593fb7f4f1c40576ebfc7c47219cb0acee69aea7.png",
    "website": "https://onsitepro.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We make contractor proposal creation as simple as checking out of e-commerce. We equip HVAC distributors (who sell HVAC equipment to contractors) with digital catalogs preloaded with pricing, product details, and templates that allow contractors to create a professional proposal in under 10 minutes and sell in-person.",
    "one_liner": "Revolutionizing digital selling within HVAC",
    "team_size": 4,
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    "website": "https://www.trellus.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Trellus delivers simple coaching prompts to your salespeople in real time as they speak to prospects. Prompts are delivered in response to what is happening in a conversation. The goal of these prompts is to get more reps achieving quota and to reduce the time it takes to start attaining quota.\r\n\r\nPrompts are action-oriented steps toward empathetic listening and effective discovery. Examples include 'pause' (when talking too much), 'set next steps' (when wrapping up a call without them), and 'ask current state' (when encountering objections).\r\n\r\nTrellus is backed by Y Combinator and founded by former MIT researchers.",
    "one_liner": "Real-time sales coach for SDRs ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "tags": [
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    "regions": [
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    "city": "New York City",
    "country": "US",
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        "user_id": 832328,
        "full_name": "Ajinkya Nene",
        "title": "Founder",
        "founder_bio": "Ajinkya completed his masters and bachelors in computer science from MIT where he focused on applied ML systems. He has experience in running top-level strategy projects as part of his experience at McKinsey & Co. and has been programming for over a decade. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ajinkya-nene-6200b871/",
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      {
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        "full_name": "Craig Bonnoit",
        "title": "Founder",
        "founder_bio": "Craig has nearly a decade of professional experience leading teams and developing software. His works has spanned multiple domains including real-time autonomous systems and financial derivative pricing. He previously completed a PhD in Physics at MIT focused on computational techniques for experimental data analysis in strongly correlated materials.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/craig-bonnoit/",
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        "title": "Enterprise insights from YC S22 Demo Day | Wing Venture Capital",
        "url": "https://www.wing.vc/content/enterprise-insights-from-yc-s22-demo-day",
        "date": "Jan 16, 2023"
      },
      {
        "title": "Sales Tech Trends to Watch in 2023 and Beyond",
        "url": "https://reply.io/sales-trends-2023/",
        "date": "Dec 22, 2022"
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    "launches": [
      {
        "id": 119735,
        "title": "Trellus: From call list to callback inside Attio and GoHighLevel",
        "tagline": "Power and parallel dialing, call notes, and CRM-linked follow-up—without a CSV handoff.",
        "body": "Hi YC—we're Trellus (W22). We build a power and parallel dialer that works inside the CRM your team already uses.\n\nA call block shouldn't leave you with two lists to reconcile: one in the CRM and another in a dialer. And “call me Friday” shouldn't end up on a sticky note.\n\nWe've previously introduced our Attio and GoHighLevel integrations here. This launch brings the full workflow into focus: start with your CRM audience, have the conversation, save the result, and leave a callback attached to the right record.\n\n## Attio: your People list is the call list\n\nOpen a supported People list or Tasks view, map your phone fields, and choose power dialing or up to five parallel lines on an eligible plan. Keep the person context available while you call.\n\nAfterward, save the outcome and summary to Attio. With the right workspace permissions, Trellus can maintain structured call attributes; otherwise, details go into an Attio note. A requested follow-up can become a Person-linked Trellus Callback Task with a due date.\n\n[Watch the Attio walkthrough](https://www.youtube.com/watch?v=z1wfr5A9uUc)\n\n## GoHighLevel: work the Smart List, then finish the contact\n\nStart in the active HighLevel location's Contacts Smart List. Trellus uses the filtered audience and valid contact phone numbers without a CSV export. Choose power or parallel dialing based on your plan.\n\nWhen the call ends, save a contact note with the selected outcome and available summary, apply a chosen HighLevel tag, and create a contact-linked callback task. Opportunity pipeline or stage views are available when confirmed during setup. Agency-branded domains need compatible site access and a setup check.\n\n[Watch the GoHighLevel walkthrough](https://www.youtube.com/watch?v=cTTAieDWJms)\n\n## Try it on the call block you already run\n\nBring one real CRM view and the follow-up your reps need to save. That's a better starting point than migrating your whole sales process.\n\nThese workflows are for teams running repeatable outbound blocks. If you only make a few calls a day, basic click-to-call may be enough. Calling modes and coaching depend on your Trellus access and workspace setup.\n\n[Explore Trellus for Attio](https://www.trellus.ai/integrations/attio?utm_source=launch_yc&utm_medium=referral&utm_campaign=attio_ghl_call_to_callback_20261006&utm_content=attio) · [Explore Trellus for GoHighLevel](https://www.trellus.ai/integrations/gohighlevel?utm_source=launch_yc&utm_medium=referral&utm_campaign=attio_ghl_call_to_callback_20261006&utm_content=gohighlevel)\n\nTell us which CRM view you call from and what needs to happen after a conversation. We'd love your feedback.\n\n![Trellus connected-call screen alongside a GoHighLevel Contacts Smart List, using demo contacts](https://cdn.prod.website-files.com/633ef5e495fbc54172ea70ad/6a9f50a21e95ee66a59e2d14_trellus-gohighlevel-complete-workflow-2026-09-07.png)\n\n",
        "url": "https://www.ycombinator.com/launches/V9D-trellus-from-call-list-to-callback-inside-attio-and-gohighlevel",
        "votes": 2,
        "created_at": "2026-10-07T14:16:07.449Z"
      },
      {
        "id": 112632,
        "title": "Trellus: Embedded dialing, Salesfloor, and live coaching at half the price of Nooks",
        "tagline": "Run more outbound calls with embedded power and parallel dialing, a live Salesfloor, and real-time coaching in one platform.",
        "body": "\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/f3d998f2-1dec-4aa3-b5ce-2e40154d9dfd)\n\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/88403df8-0b92-475b-bde6-87ed22e349db)\n\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/fb0a9225-9c8c-4266-8352-9a976fe560e6)\n\nHey everyone — we're Ajinkya and Craig from Trellus (YC W22).\n\n**TL;DR:** Trellus combines embedded power and parallel dialing, a collaborative Salesfloor, and live AI coaching in one product. Reps can dial up to five lines from supported CRM, sales-engagement, prospecting, and spreadsheet workflows. Managers can run call blocks, listen to live calls, coach reps, and pull people into private huddles without leaving the floor. Trellus is typically about half the price of Nooks for teams buying a comparable dialing and Salesfloor workflow.\n\n## The problem\n\nOutbound teams usually stitch together a dialer, their CRM or sales-engagement platform, a virtual sales floor, call recording, analytics, and a coaching tool. Reps bounce between tabs. Managers see the call after it is over. Remote call blocks lose the energy and fast feedback of a real sales floor.\n\nWe built Trellus so the list, the call, the team room, and the coaching loop can stay connected.\n\n## What a call block looks like in Trellus\n\n1. A rep opens the workflow they already use in a supported platform such as Salesforce, HubSpot, Apollo, Attio, lemlist, GoHighLevel, or Google Sheets.\n2. Trellus adds one-line power dialing or up to five-line parallel dialing directly to that workflow, so the rep does not have to rebuild the list in a separate dialer.\n3. The team joins a shared Salesfloor to dial together, see who is active, chat, and celebrate wins.\n4. Managers can listen to live calls and coach in the moment. Trellus can also surface real-time guidance for objections, discovery, pacing, and next steps.\n5. When a conversation needs privacy, a manager can pull a rep or small group into an audio huddle and return them to the shared floor when it is over.\n6. Calls are transcribed and available for team analytics and review after the block.\n\n## One product for the whole calling workflow\n\n* Embedded power dialing and up to five-line parallel dialing\n* Voicemail drops, phone-number rotation, and number-health workflows\n* A live Salesfloor for remote and hybrid call blocks\n* Private manager-rep huddles inside the floor\n* Live listening and real-time coaching\n* Transcripts, call review, scoring, and team analytics\n* Practice conversations with AI roleplay bots\n\nTrellus works on top of the sales tools your team already uses, so reps keep the account context and workflow they know. You get the high-volume dialing and collaborative floor experience without buying a separate product for every step.\n\n## Why we think this matters\n\nNooks helped establish the modern parallel-dialer-plus-salesfloor category. Trellus gives teams that same core buying outcome—more live conversations and a shared place to run call blocks—while adding embedded workflows and live coaching in one product at roughly half the price.\n\nWe are building for sales leaders who want more activity without treating reps like call-center seats, and for reps who want help during the conversation rather than another dashboard after it.\n\n## Our ask\n\nIf your team runs outbound call blocks, try Trellus and tell us where your current workflow breaks. We are especially interested in feedback on embedded dialing, live manager coaching, and how remote teams use private huddles during a floor session.\n\nWatch the [two-minute product walkthrough](https://www.tella.tv/video/2-min-trellus-walkthrough-9b4y).\n\nSee [Trellus for sales teams](https://www.trellus.ai/sales?utm_source=ycombinator&utm_medium=launch&utm_campaign=salesfloor_launch_2026).\n\n[Try Trellus](https://app.trellus.ai/install?utm_source=ycombinator&utm_medium=launch&utm_campaign=salesfloor_launch_2026).\n\n![uploaded image](/media/?type=post&id=112632&key=user_uploads/832328/21b3444b-9071-4e01-bb09-7fa6e8fa525a)\n\n",
        "url": "https://www.ycombinator.com/launches/TIe-trellus-embedded-dialing-salesfloor-and-live-coaching-at-half-the-price-of-nooks",
        "votes": 1,
        "created_at": "2026-08-31T15:02:02.119Z"
      },
      {
        "id": 101968,
        "title": "Trellus: Parallel or Power Dial on any Platform + 50% cheaper than Nooks/Orum",
        "tagline": "Trellus alllows you to parallel dial directly inside your platform of choice (eg Sheets)",
        "body": "Trellus allows you to parallel dial directly in Google Sheets or GoHighLevel. Turn Sheets or GoHighLevel into a full dialing sequencer.\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nGrab time with our team directly at [www.trellus.ai](https://www.trellus.ai) to get access.\n\nWatch a video on how it works (eg in Google Sheets): <https://www.tella.tv/video/parallel-dialing-in-google-sheets-ghuy>\n\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields - Trellus works across all major SEP/CRM platforms\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/QWe-trellus-parallel-or-power-dial-on-any-platform-50-cheaper-than-nooks-orum",
        "votes": 3,
        "created_at": "2026-05-26T14:45:22.434Z"
      },
      {
        "id": 100003,
        "title": "Trellus: Parallel/Power Dial directly inside of Attio, Lemlist, Hubspot, Amplemarket, Salesforce, Google Sheets and more",
        "tagline": "Embedded parallel dialing natively inside of Attio, Lemlist, Hubspot, and more",
        "body": "Trellus allows you to parallel dial directly in Attio, Lemlist, Hubspot, Amplemarket, Salesforce, Google Sheets and more\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nCheck out how to use Trellus on these major platforms in our video guides below\n\nAttio: <https://www.tella.tv/video/using-trellus-dialing-in-attio-3r55>\n\nLemlist: <https://www.tella.tv/video/using-trellus-dialing-in-lemlist-7b0q>\n\nHubspot: <https://www.tella.tv/video/using-trellus-dialing-in-hubspot-5ry5>\n\nSalesforce: <https://www.tella.tv/video/salesforce-walkthrough-g6n3>\n\nGoogle Sheets: <https://www.tella.tv/video/using-trellus-dialing-in-google-sheets-e3al>\\\n\\\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/Q0x-trellus-parallel-power-dial-directly-inside-of-attio-lemlist-hubspot-amplemarket-salesforce-google-sheets-and-more",
        "votes": 6,
        "created_at": "2026-04-21T14:51:07.698Z"
      },
      {
        "id": 97859,
        "title": "Trellus: Parallel/Power Dial directly inside of Attio",
        "tagline": "Embedded parallel dialing natively inside of Attio within minutes",
        "body": "Trellus allows you to parallel dial directly in Attio\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce, Sheets)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nYou can try it out directly from our website at [trellus.ai](http://trellus.ai) (see below for how it works)\n\n![uploaded image](/media/?type=post&id=97859&key=user_uploads/832328/ba910ffc-f5f6-4433-9c00-5ff24b882a58)\n\nHow it works\n\n1. Download the Chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any contact list in Attio\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/PSN-trellus-parallel-power-dial-directly-inside-of-attio",
        "votes": 6,
        "created_at": "2026-02-16T19:56:18.096Z"
      },
      {
        "id": 94302,
        "title": "Trellus: Real-time AI + Call Quality assistant for ViciDial",
        "tagline": "Get a real-time AI assistant + automatic call QA for all calls placed through ViciDIAL ",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered real time sales coach_](https://www.trellus.ai/post/how-does-real-time-sales-ai-coaching-work) _for sales development reps in their cold calls. It guides reps to exceed quota by identifying common situations in sales calls and delivering simple action-oriented suggestions at the moment they are needed. Trellus also completes all post-call work for reps including note-taking and call summarization._ [_Real-time AI is the future of sales support_](https://www.trellus.ai/post/real-time-ai-sales-coaching) _- check out our chrome extension today_ [_here_](https://app.trellus.ai/install-now)\n\n![uploaded image](/media/?type=post&id=94302&key=user_uploads/832328/a165ef44-7cbf-407c-9c33-2bd363d0af1f)\n\n# **The Problem**\n\n**For sales reps** - it is hard to master all the skills necessary to have consistent and repeatable success in prospecting calls. A few examples of what reps need to stay on top of in each call:\n\n1. Who the prospect is and how to build rapport\n2. [What to respond to common cold call objections](https://www.trellus.ai/post/five-common-cold-call-objections)\n3. Any qualification questions that need to be worked through - and the prospect's response\n4. Their own delivery cadence - tempo, talk time, etc.\n5. When to go for the close and book the next steps\n\n**For managers** - it is hard to effectively supervise and train a team of reps since a team of reps has far more (combined) hours to make calls than a manager has time to review them. Existing sales intelligence tools like Gong / Chorus are commonly used for recording and review but offer limited help in coaching reps because [the analytics are less focused on prospecting calls and the feedback is often delayed.](https://www.trellus.ai/post/sales-coaching-is-broken)\n\n# **The Solution**\n\nTrellus solves these issues by giving your sales reps a real-time AI-powered sales coach that is available 24x7 to them. Trellus enables your reps to deliver the right message at the right moment to your prospects.\n\nWe do this by mixing a blend of behavioral and content coaching suggestions to help your sales reps learn best-in-class sales techniques.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Behavioral coaching on monologues, cadence with a whole host of features coming soon (filler words, pauses, tone)\n* Objection handling for classic cold call objections (e.g., “I’m not interested) with the ability for your sales enablement team to customize suggested responses for your reps\n* Battle cards for competitors (e.g., “I use X”) - whenever one of your competitors is mentioned on a call, your rep will get suggested talking points\n* Real-time transcription for all your dials\n* Real-time localized data on your prospects (e.g., news, weather) to provide additional data sales reps can leverage to build repertoire\n* Automatic call summarization and disposition entry\n\n### **How you can get started!**\n\n**1) Take it for a spin!** Trellus is totally free for individuals to try out - they can get started in less than 5 seconds by downloading our chrome extension [here](https://app.trellus.ai/demo)\n\n**2) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or let us know in the comments!",
        "url": "https://www.ycombinator.com/launches/OX0-trellus-real-time-ai-call-quality-assistant-for-vicidial",
        "votes": 8,
        "created_at": "2025-10-03T01:06:47.186Z"
      },
      {
        "id": 93555,
        "title": "Trellus: Parallel/Power Dial directly inside of Google Sheets and GoHighLevel",
        "tagline": "Embedded parallel dialing natively inside of Google Sheets and GoHighLevel within minutes",
        "body": "Trellus allows you to parallel dial directly in Google Sheets or GoHighLevel. Turn Sheets or GoHighLevel into a full dialing sequencer.\n\nTLDR: Trellus is an AI-powered parallel-dialer + sales coach to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo, Clay, Zoho, Salesforce)\n\nReps using Trellus have seen a 2-3X increase in the number of dials and 25-50+% increases in meeting booked conversion rates — AI assistants are the future of cold calling.\n\nGrab time with our team directly at https://calendly.com/ajinkya_nene/meeting to get access.\n\nWatch a video on how it works: https://www.tella.tv/video/parallel-dialing-in-google-sheets-ghuy\n\nHow it works\n\n1. Download the Chrome extension at https://app.trellus.ai/install and activate parallel dialing\n2. Load up any contact list in GHL or any sheet in Google Sheets, and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\nFeatures\n\n1. Seamless integration into your dialer platform of choice (e.g., simply add the Chrome extension)\n2. Parallel or power dialing (takes notes, dispositions calls, hangs up on voicemails)\n3. Real-time AI coaching based on events that occur in the calls\n4. Real-time transcription for all your dials\n\n![uploaded image](/media/?type=post&id=93555&key=user_uploads/832328/3daf29f0-1be2-4cdc-abc0-135e42133a70)\n\n",
        "url": "https://www.ycombinator.com/launches/OKx-trellus-parallel-power-dial-directly-inside-of-google-sheets-and-gohighlevel",
        "votes": 8,
        "created_at": "2025-09-04T15:02:03.441Z"
      },
      {
        "id": 88465,
        "title": "Trellus: Parallel Dial directly inside of Clay",
        "tagline": "Trellus allows you to parallel dial natively inside of Clay within minutes",
        "body": "# **Trellus allows you to parallel dial directly in Clay - allowing you to turn Clay into a full dialing sequencer**\n\n**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [AI powered parallel-dialer + sales coach](https://trellus.ai/) to help you book 5x more meetings on your cold calls that works natively inside your CRM or SEP (we also support Salesloft, Hubspot, Outreach, Amplemarket, Apollo)\n\nReps using Trellus have seen a 2-3X increase in number of dials and 25-50+% increases in meeting booked conversion rates — [_AI assistants are the future of cold calling._](https://www.trellus.ai/post/real-time-ai-sales-coaching)\\\n\\\n_Grab time with our team directly _[_here_](https://calendly.com/ajinkya_nene/clay-parallel)_ to get access_\n\n# **How it works**\n\n1. Download the chrome extension at <https://app.trellus.ai/install> and activate parallel dialing\n2. Load up any clay list and map your columns to the right fields\n3. Start parallel dialing and begin booking more meetings\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/5499360e-cb6a-49d6-8762-d111a6e15830)\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/c42858db-bd7f-4bfe-bce1-ef7ca6c6b53b)\n\n![uploaded image](/media/?type=post&id=88465&key=user_uploads/832328/92a5df42-b068-496b-be27-bbd6329aac4c)\n\n**Features**\n\n* Seamless integration into your dialer platform of choice (e.g. Clay - simply add the chrome extension)\n* Parallel dialing (takes notes, dispositions calls, hangs up on voicemails)\n* Real-time AI coaching based of events that occur in the calls\n* Real-time transcription for all your dials",
        "url": "https://www.ycombinator.com/launches/N0r-trellus-parallel-dial-directly-inside-of-clay",
        "votes": 6,
        "created_at": "2025-03-11T14:52:46.229Z"
      },
      {
        "id": 86681,
        "title": "Trellus - Parallel Dial Directly Inside Hubspot, Salesloft, Outreach, or Apollo",
        "tagline": "Trellus native parallel dialer allows users to dial 5x the number of contacts while staying in the platforms they're used to.",
        "body": "**TLDR**: [Trellus](https://trellus.ai/) _is an_ [AI-powered parallel-dialer](https://www.trellus.ai/post/auto-dialer-vs-parallel-dialer-whats-the-best-choice-for-your-sales-team) _+ sales coach_ that helps you book 5x more meetings on your cold calls. Trellus automates all calling activity (e.g., call dispositions, call notes, choosing which prospects to dial, hanging up on voicemails, etc.) and works natively inside your sales enablement platform or CRM (specifically Outreach, Hubspot, Salesloft, or Apollo).\n\n# Trellus is a chrome extension that turns your SEP or CRM into a parallel dialer. Trellus is also half the price of any competing platform like Nooks or Orum.\n\nBelow is an image of how Trellus operates on top of Outreach. Here’s a [clickable demo](https://app.storylane.io/share/tgkyvivx5ays) that walks you through how it works on different platforms.\n\n![uploaded image](/media/?type=post&id=86681&key=user_uploads/832328/55ff7ef6-064f-4efd-9250-d93761f08f42)\n\nReps using Trellus have seen a 3-5x increase in their cold call output. It’s as simple as adding our Chrome extension [here.](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)\n\n### **What You Can Expect**\n\nWithin the first week of using Trellus, you can expect your reps to easily place 150+ calls/day directly inside their platform. With standard connection rates of around 10-15%, you can expect reps to have around 10-20 conversations/day.\n\nThere’s limited set-up and training required, given that Trellus works in your existing tech stack, reducing any context switching.\n\n### **How Parallel Dialing Works**\n\n1. Trellus automatically detects voicemails or busy tones to hang up/drop VMs for you automaticall.y\n2. Trellus automatically detects bad numbers and removes them from your system\n3. Trellus automatically detects live connections and routes your reps within seconds of the call to avoid any awkward pauses\n4. Trellus fully syncs with your CRM/SEP to ensure all call logs and records stay consistent with your expectations\n5. Trellus provides automatic AI notes and coaching on every call to ensure your reps are conducting quality calls\n\n### **How To Get Started**\n\n1. Download the chrome extension [here](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)\n2. Grab time with us [here](https://calendly.com/ajinkya_nene/15min)\n\n   ---\n\nHappy dialing!",
        "url": "https://www.ycombinator.com/launches/MY5-trellus-parallel-dial-directly-inside-hubspot-salesloft-outreach-or-apollo",
        "votes": 11,
        "created_at": "2025-01-08T15:14:41.021Z"
      },
      {
        "id": 83230,
        "title": "Trellus - Add AI to Salesloft, Outreach, Hubspot, or Apollo",
        "tagline": "Trellus adds an AI copilot for cold calling/cold emailing to existing sales platforms.",
        "body": "# Trellus adds an AI copilot for outbound sales to Salesloft, Outreach, Hubspot, Apollo, and others. \n\n### **Reps today face tool fatigue**\n\nSales reps today face tons of tool fatigue when doing their outbound work. It’s a constant balance of managing what’s the latest and greatest in AI with their core tech stack. At [Trellus](https://www.trellus.ai/), we took the view that reps should be able to still live in their existing tools while getting all the benefits of the newest advances in AI.\n\n### **TRELLUS repurposes your existing sales stack with the latest ai tools**\n\nTrellus uses a [Chrome extension](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl) (free to try out!) to inject AI assistance across your workflow - whether that be in researching a prospect, automating your dial work, or deciding what to write as part of your sales emails. By doing this, you can easily **2-3x** your output in your existing stack **without spending $$$$.**\n\n**Get Custom AI Emails directly in your tech stack**\n\nTrellus learns your company’s value prop, understands your prospects, and analyzes previous conversations, all in an effort to generate a personalized AI email that you can send off with one click.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=105000)\n\n**Automate all non-dialing work with Trellus’ embedded AI power dialer**\n\nTrellus will automate every single button click you do inside your current dialing tool to make sure you can enter the flow state. Even better, we have Spotify and YouTube integrations that will let you blast tunes while dialing.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=167000)\n\n**Get real-time AI suggestions on your cold calls on what to say**\n\nTrellus will give you real-time suggestions and context on your calls. Whether that be on what opener you should use or how to objection handle, Trellus will be there to guide you through the call effectively.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=175000)\n\n**Get Automatic Custom AI Research on your prospects with 1-click**\n\nTrellus will analyze the prospect’s website to understand any information you may need on them to better your outbound to them.\n\n![Trellus AI Copilot Walkthrough 🤖](https://www.tella.tv/api/stories/cm02hdd3t000603lc7fbh9htu/thumb.gif?version=2024-08-20T14:07:08.783Z&resolution=640x360&inpoint=175000)\n\n**Watch our full video walk through at** <https://www.youtube.com/watch?v=rsGrmGeP8mc&feature=youtu.be>\n\n**Get started today by grabbing the **[**free Trellus extension**](https://chromewebstore.google.com/detail/trellus/enhpjjojmnlnaokmppkkifgaonfojigl)** or learning more about us** [**HERE.**](https://www.trellus.ai/)\n\n![uploaded image](/media/?type=post&id=83230&key=user_uploads/832328/7083fc17-24ff-4091-be93-f95beae9dba1)\n\n",
        "url": "https://www.ycombinator.com/launches/LeQ-trellus-add-ai-to-salesloft-outreach-hubspot-or-apollo",
        "votes": 12,
        "created_at": "2024-08-20T18:14:34.698Z"
      },
      {
        "id": 77167,
        "title": "Trellus: An embedded AI auto-dialer that's 5x cheaper than any parallel dialer",
        "tagline": "The 10x you need for your cold calls ",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered auto-dialer + sales coach_](https://trellus.ai/autodialer) to help you book 5x more meetings on your cold calls. Trellus automates all calling activity (e.g., call dispositions, call notes, choosing which prospects to dial, hanging up on voicemails, etc.) while giving your reps real-time suggestions on what to say durinng the call.\n\nReps using Trellus have seen a 2-3X increase in number of dials and 25-50+% increases in meeting booked conversion rates — [_AI assistants are the future of cold calling._](https://www.trellus.ai/post/real-time-ai-sales-coaching)\n\n![uploaded image](/media/?type=post&id=77167&key=user_uploads/832328/655782f0-f7cd-4077-8237-b86caca1ca2f)\n\n### **The Problem**\n\nCold calling without automation is inefficient due to low pickup rates and often times reps are not effectively able to convert prospects who do pick up.\n\nOn the flip side, parallel dialers that offer automation solutions cost $$$ (upwards of $300/rep/month for their base packages).\n\n### **The Solution**\n\nTrellus offers an affordable solution that provides not just call automations but also an AI-powered real-time assistant.\n\nOur AI models automate all mundane calling tasks so that reps are given more time to sell rather than do admin work.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Automated dialer (takes notes, dispositions calls, hangs up on voicemails)\n* Real-time AI coaching based of events that occur in the calls\n* Real-time transcription for all your dials\n\n### **How you can get started!**\n\n**1) Check out a demo** [here.](https://trellus.ai/autodialer)\n\n**2) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or send us an email at [founders@trellus.ai.](mailto:founders@trellus.ai)",
        "url": "https://www.ycombinator.com/launches/K4d-trellus-an-embedded-ai-auto-dialer-that-s-5x-cheaper-than-any-parallel-dialer",
        "votes": 6,
        "created_at": "2024-01-02T20:31:00.659Z"
      },
      {
        "id": 68816,
        "title": "Trellus - real-time sales AI coach for cold calls",
        "tagline": "Trellus - the AI copilot to supercharge your cold call outbound (join 400+ reps and counting today!)",
        "body": "**TLDR**: [_Trellus_](https://trellus.ai/) _is an_ [_AI powered real time sales coach_](https://www.trellus.ai/post/how-does-real-time-sales-ai-coaching-work) _for sales development reps in their cold calls. It guides reps to exceed quota by identifying common situations in sales calls and delivering simple action-oriented suggestions at the moment they are needed. Trellus also completes all post-call work for reps including note-taking and call summarization._ [_Real-time AI is the future of sales support_](https://www.trellus.ai/post/real-time-ai-sales-coaching) _- check out our chrome extension today_ [_here_](https://app.trellus.ai/install-now)\n\n![uploaded image](/media/?type=post&id=68816&key=user_uploads/832328/639aa519-23ad-4c93-a11a-bdbcd74084f0)\n\n# **The Problem**\n\n**For sales reps** - it is hard to master all the skills necessary to have consistent and repeatable success in prospecting calls. A few examples of what reps need to stay on top of in each call:\n\n1. Who the prospect is and how to build rapport\n2. [What to respond to common cold call objections](https://www.trellus.ai/post/five-common-cold-call-objections)\n3. Any qualification questions that need to be worked through - and the prospect's response\n4. Their own delivery cadence - tempo, talk time, etc.\n5. When to go for the close and book the next steps\n\n**For managers** - it is hard to effectively supervise and train a team of reps since a team of reps has far more (combined) hours to make calls than a manager has time to review them. Existing sales intelligence tools like Gong / Chorus are commonly used for recording and review but offer limited help in coaching reps because [the analytics are less focused on prospecting calls and the feedback is often delayed.](https://www.trellus.ai/post/sales-coaching-is-broken)\n\n# **The Solution**\n\nTrellus solves these issues by giving your sales reps a real-time AI-powered sales coach that is available 24x7 to them. Trellus enables your reps to deliver the right message at the right moment to your prospects.\n\nWe do this by mixing a blend of behavioral and content coaching suggestions to help your sales reps learn best-in-class sales techniques.\n\n### **Features**\n\n* Seamless integration into your dialer platform of choice (it’s as simple as downloading our chrome extension)\n* Behavioral coaching on monologues, cadence with a whole host of features coming soon (filler words, pauses, tone)\n* Objection handling for classic cold call objections (e.g., “I’m not interested) with the ability for your sales enablement team to customize suggested responses for your reps\n* Battle cards for competitors (e.g., “I use X”) - whenever one of your competitors is mentioned on a call, your rep will get suggested talking points\n* Real-time transcription for all your dials\n* Real-time localized data on your prospects (e.g., news, weather) to provide additional data sales reps can leverage to build repertoire\n* Automatic call summarization and disposition entry\n\n### **How you can get started!**\n\n**1) Check out a demo** [here](https://app.trellus.ai/demo)\n\n**2) Take it for a spin!** Trellus is totally free for individuals to try out - they can get started in less than 5 seconds by downloading our chrome extension [here](https://app.trellus.ai/demo)\n\n**3) Talk to us!** If you’re interested in trialing Trellus with your sales reps, [grab a quick time slot](https://calendly.com/ajinkya_nene/general-meeting) for a white-glove onboarding or let us know in the comments!",
        "url": "https://www.ycombinator.com/launches/Htw-trellus-real-time-sales-ai-coach-for-cold-calls",
        "votes": 27,
        "created_at": "2023-01-29T21:04:03.414Z"
      }
    ]
  },
  {
    "id": 25315,
    "name": "Rebill",
    "slug": "rebill",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac317d3596d742abd3e551f40119a6ba9a7f3d40.png",
    "website": "https://www.rebill.com",
    "all_locations": "Buenos Aires, CABA, Argentina",
    "long_description": "Rebill is the financial infrastructure platform for the Americas.\r\n\r\nThe companies shaping software, AI, travel, and digital services use Rebill to operate across Brazil, Mexico, Argentina, Colombia, Chile, and the United States.\r\n\r\nRebill brings local payments, installments, recurring billing, stablecoin rails, treasury, global payouts, and financial operations into one platform built for how money actually works across the Americas.\r\n\r\nEvery market is different. Rebill makes the infrastructure consistent. Engineering, finance, and operations teams can manage local currency acceptance, market-specific payment behavior, funds, and financial workflows from the same platform.\r\n\r\nCompanies can launch in Latin America in as little as a day and expand across markets without rebuilding their financial stack country by country.\r\n\r\nBuilt locally. Designed to scale globally.",
    "one_liner": "Financial infrastructure for the Americas",
    "team_size": 11,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1645553649,
    "tags": [
      "Fintech",
      "SaaS",
      "Payments",
      "B2B",
      "Subscriptions"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Fintech",
      "Payments"
    ],
    "regions": [
      "Argentina",
      "Latin America",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Rebill started from a clear problem: companies wanted to sell in Latin America, but payments were too fragmented to scale efficiently. Approval rates were weak, local methods were missing, subscriptions were hard to manage, and every country required a different setup.\r\n\r\nWe began by solving that pain directly, helping merchants collect more effectively across the region. As we went deeper, it became obvious that the real gap was not just billing software, but infrastructure. Companies needed a single platform that could abstract away local complexity and let them operate across markets with speed.\r\n\r\nThat is how Rebill evolved from solving recurring payments into building payments infrastructure."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC because we were building in a category with a much bigger opportunity than people usually assumed. We did not want to build a regional tool. We wanted to build infrastructure with global relevance.\r\n\r\nYC helped us sharpen the story, move faster, and think much more clearly about category, ambition, and execution. It pushed us to simplify the message and focus on what truly mattered.\r\n\r\nThe batch and Demo Day helped us position Rebill as a company solving a fundamental infrastructure problem, starting with LATAM and expanding beyond it."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We stay active in the YC community through Bookface, founder relationships, and ongoing use of YC resources across fundraising, hiring, product, and tactical problem solving.\r\n\r\nWhat continues to matter most is access to founders who are building with intensity and clarity. YC remains part of our operating environment, not just part of our history."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Rebill started by addressing recurring billing and payment problems for companies operating in Latin America. Early on, we focused on helping merchants navigate subscriptions, collections, and the operational complexity of the region.\r\n\r\nThe first major inflection point was realizing that software alone was not enough. The deeper problem was payment infrastructure itself: local rails, local methods, acquiring, recovery, and settlement.\r\n\r\nThe second major inflection point came when we moved closer to the rails and began building direct infrastructure instead of depending only on third parties. That changed the economics, product depth, and strategic value of the business.\r\n\r\nToday, Rebill is building a broader payments infrastructure layer for LATAM and the US, with the long-term goal of becoming the financial infrastructure for underserved markets."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The core problem is that companies expanding across LATAM and similar markets face fragmented payment infrastructure.\r\n\r\nThey need local methods, better conversion, subscription support, transparent settlement, and a fast path to launch, but the market is still dominated by patchwork solutions, slow enterprise processes, and country-by-country complexity.\r\n\r\nThis is a big problem because payment performance directly affects growth. Poor infrastructure means lower approval rates, less access to local demand, slower launches, and lost revenue.\r\n\r\nWe decided to work on it because we saw firsthand how large the gap was and how few companies were actually productizing a solution that developers and operators could use quickly."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our long-term vision is to build the financial infrastructure layer for underserved markets.\r\n\r\nWe are starting with payments in LATAM and the US because that is where companies feel the pain most immediately: collecting money, scaling across markets, and doing it without operational chaos. Over time, we want to make entering complex markets as simple as launching in the most developed ones.\r\n\r\nIf we succeed, companies will no longer need to assemble fragmented providers, local entities, and manual workflows just to operate internationally. They will integrate once and scale across markets through infrastructure that makes difficult geographies feel simple."
      }
    ],
    "url": "https://www.ycombinator.com/companies/rebill",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/rebill.json",
    "year_founded": 2020,
    "city": "Buenos Aires",
    "country": "AR",
    "linkedin_url": "https://www.linkedin.com/company/rebill",
    "x_url": "https://twitter.com/rebillteam",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rebill-inc",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac317d3596d742abd3e551f40119a6ba9a7f3d40.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 43569,
        "full_name": "Nahuel Candia",
        "title": "Founder/CEO",
        "founder_bio": "Nahuel is the Founder and CEO of Rebill, building financial infrastructure for global companies in LATAM and the US.\nHe is an MIT-recognized entrepreneur who built 3 companies before 30.\nDeveloper since 14, he remains highly hands-on across product, engineering, and execution.\nBefore Rebill, he founded Shovel Apps and was CTO of Ando.la, later acquired by Moova.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nahuelcandia/",
        "x_url": "https://twitter.com/dncandia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e324ec6481088e92fa92133c49f2dcc6d2ecedd.jpg"
      },
      {
        "user_id": 598544,
        "full_name": "Ariel Diaz Ailan",
        "title": "Founder",
        "founder_bio": "Building the financial infrastructure platform for the Americas at Rebill. We help global software, AI, travel, and digital services companies operate across Latin America and the US with local payments, billing, treasury, and payouts. 16 years in e-commerce, 12 in software, and 6 in fintech. Happy to compare notes on payments, financial infrastructure, and international expansion.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/diazailan",
        "x_url": "https://www.twitter.com/diazailan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e32bb55f229b15c068f957c5f94b28f13fec07bc.jpg"
      }
    ],
    "jobs": [
      {
        "id": 109740,
        "title": "VP of Sales",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/3xYpdc9-vp-of-sales",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $120K",
        "equity_range": "0.30% - 0.60%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 109741,
        "title": "Head of Growth",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/rNjIwYH-head-of-growth",
        "location": "Miami, FL, US / Buenos Aires, Buenos Aires, AR / Bogotá, Bogota, CO / Remote",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.30% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 109742,
        "title": "Head of Engineering",
        "url": "https://www.ycombinator.com/companies/rebill/jobs/HOM79GY-head-of-engineering",
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        "title": "Blaze 2.0 - Use AI to find high intent leads + trigger relevant outreach",
        "tagline": "Blaze scans social posts, engagements and connections to help companies target the right potential customers with more compelling outreach.",
        "body": "Hey everyone! 👋 Today we are thrilled to announce a number of huge updates to Blaze, including AI personalization, DM Sequences across Twitter and LinkedIn, and AI Replies from our unified inbox.\n\n**The Problem** Email is saturated and it’s hard to stand out from the noise: Reaching the right audience through outbound email is becoming increasingly challenging. The proliferation of lead databases and ever changing spam filters has reduced the effectiveness of email campaigns.\n\n \n\n**The Solution** Blaze helps you:\n\n \n\n1. Generate leads with AI-powered signals: Identify qualified B2B leads on LinkedIn and X with a higher likelihood of conversion. Create lists from unique signals, such as users liking your competitors’ social posts, following relevant interest groups or influencers, or mentioning certain topics or initiative at a company or individual level.\n2. Send personalized DM sequences on X or LinkedIn and auto-respond with AI: Target leads with more compelling messages taking into account the lead context on social channels where you are more likely to cut through the noise. Add in optional steps like following someone first to improve your response rate further.\n3. Engage with trending topics and buyers posts posts to build trust and awareness: Create feeds that surface relevant posts so you can engage and foster closer relationships with top prospects alongside building your personal brand.\n\nLink to demo: <https://www.youtube.com/watch?v=KcLmsFg9Pgc>\n\n**What we are launching today?**\n\n* Create feeds of X and LinkedIn content based on keywords and who posted the content. Create lead lists of those who posted or engaged with content.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/8a282fbf-28bd-44f2-baf1-47f1558c78df)\n\n* Generate DMs based on AI using both sender and receiver personas.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/1ef2ac75-c093-4eed-b777-56978852188d)\n\n* Multi-step sequences to enable complex workflows on X and LinkedIn including steps such as following the user (X), connecting with the user (LinkedIn), time delays etc.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/d510f9a8-7ab4-4050-92ea-0c743f61523e)\n\n* Streamlined inbox experience which enables you to manage DMs across multiple accounts.\n\n  ![uploaded image](/media/?type=post&id=82171&key=user_uploads/746862/2e9021b7-eb85-45e6-bff7-5d761e680bfa)\n\n\nWith our new suite of features, you'll feel like you've hired a new SDR or marketing manager, at a fraction of the cost. To date, we have helped 200+ companies accelerate their revenue through our unique signals and marketing orchestration tools. Try out our 1 week free trial today by signing up at: [https://dashboard.withblaze.app/signup/.](https://dashboard.withblaze.app/signup/)\\\nPlease use this code: [**PRODUCTHUNT0724** to get 40% off](https://www.producthunt.com/posts/blaze-382833ca-0257-4c27-9c10-2688e076186d) annual plans.\n\nPlease feel free to reach out to me at lauren@withblaze.app with any questions, thoughts or feature requests! We’d love your feedback.",
        "url": "https://www.ycombinator.com/launches/LNL-blaze-2-0-use-ai-to-find-high-intent-leads-trigger-relevant-outreach",
        "votes": 15,
        "created_at": "2024-07-16T14:57:24.871Z"
      },
      {
        "id": 67616,
        "title": "🔥 Blaze - Grow and manage your Discord community",
        "tagline": "Introducing Blaze, the next-gen community growth tool",
        "body": "Hi, we’re [Lauren](https://www.linkedin.com/in/lauren-rothwell-8403b052) and [Chirag](https://www.linkedin.com/in/chiragmahapatra/), the co-founders of [Blaze](https://withblaze.app/), the next-gen community growth tool.\n\n**Problem**\n\nCompanies today are increasingly using community channels like Discord to engage and retain their customers, but companies struggle to quantify the ROI of community efforts, leverage community data in marketing, and manage community channels at scale in an efficient way.\n\n**How we help**\n\nWe help companies who leverage Discord to:\n\n* Establish community KPIs and measure community and marketing campaign performance\n* Understand and segment your members\n* Monitor community sentiment and extract product feedback\n\n**Try us out**\n\nIf you have a Discord community that you need better analytics for, we’d love to chat! You can grab a time for a demo here: <https://calendly.com/blaze-ai/blaze-demo-community>. And best of all, you can get started for free today!\n\n**Demo:**\n\n![ \" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Blaze Demo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\"](https://raw.githubusercontent.com//chirag9127/chirag9127.github.io/master/Members%20%2B%20segments%20-%20gif%20-1120.gif)\n\n![ \" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\" \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Blaze Demo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"\"](https://raw.github.com/chirag9127/chirag9127.github.io/master/overall%20metrics.gif)\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/Haa-blaze-grow-and-manage-your-discord-community",
        "votes": 29,
        "created_at": "2022-11-30T18:53:44.357Z"
      }
    ]
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    "id": 25359,
    "name": "Yezza",
    "slug": "yezza",
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    "website": "https://yezza.com",
    "all_locations": "Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",
    "long_description": "Yezza makes it easy for small businesses in SE Asia to create storefronts on WhatsApp. Our MRR is $40K with $3M monthly GMV, from 1500 orders every day. We are profitable.\r\n\r\nNot only for selling goods & products, Yezza also built features to fit with many use cases in WhatsApp Commerce. For example, social media influencers use Yezza to deal with brands using WhatsApp. We found that customers also make table reservations through WhatsApp.\r\n\r\nMerchants pay us $12 per month & up to $0.25 per order. With 50M WhatsApp Business downloads in SE Asia, this creates a $7.2B market opportunity. Interestingly, a similar buying-via-WhatsApp behavior exists in Latin America & Africa.\r\n\r\nPreviously, we bootstrapped a tech-enabled travel company to $12M in annual revenue, by selling travel packages using WhatsApp. We built & used this product for 4 years in our previous company. During COVID19, we offshoot it to become a standalone business called Yezza.\r\n\r\nYezza is now backed by Y Combinator & angel who worked at Facebook/WhatsApp.",
    "one_liner": "Storefronts on WhatsApp in Southeast Asia",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1643010142,
    "tags": [
      "SaaS",
      "B2B",
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Malaysia",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/yezza",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/yezza.json",
    "year_founded": 2020,
    "city": "Kuala Lumpur",
    "country": "MY",
    "linkedin_url": "https://www.linkedin.com/company/yezza",
    "x_url": "https://twitter.com/yezza_io",
    "fb_url": "https://www.facebook.com/yezza",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/426b36c28bc342e35b5e9698efaec7d42be93064.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 844352,
        "full_name": "Ammar Roslizar",
        "title": "Founder",
        "founder_bio": "CEO of Yezza.\n\nI'm building Yezza, a tech startup to help entrepreneurs earn money & save time.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ammarroslizar/",
        "x_url": "https://twitter.com/ammarroslizar",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8f59eda53b53331397fcd07d8b2b10dc14bedec.jpg"
      },
      {
        "user_id": 849090,
        "full_name": "Wan Aizuddin",
        "title": "Founder",
        "founder_bio": "CTO and Cofounder at Yezza | Loves coding and learning from others | Currently Mind-blown by Web 3.0",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wan-mohd-aizuddin-wan-mohamad-667158122/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebca3115099a205e5240ec6e2c48a64a30df822f.jpg"
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    "jobs": [],
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  },
  {
    "id": 25394,
    "name": "InferEdge",
    "slug": "inferedge",
    "former_names": [
      "Harmoney"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca294ba99345dad1e7a7357621f3373230c00cf.png",
    "website": "https://www.inferedge.com",
    "all_locations": "MH, India",
    "long_description": "InferEdge builds agentic AI for the buy-side - systems that run autonomously across research, portfolio management, and risk, for equity and fixed income. The point isn't generating a generic note - anyone can do that now. For example, when earnings season hits, our agents produce the quarter's coverage in your analysts' own tone and format, matching how your desk already writes, so it doesn't need a rewrite before it's usable. We build on top of LLMs, turning raw model capability into consistent and auditable workflows, not another stalled prototype.",
    "one_liner": "Agentic AI for buy-side firms",
    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1645537602,
    "tags": [
      "Fintech",
      "B2B",
      "Enterprise Software",
      "Investments",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/inferedge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/inferedge.json",
    "year_founded": 2021,
    "city": null,
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/inferedge-ai",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/harmoney-in",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ca294ba99345dad1e7a7357621f3373230c00cf.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 599286,
        "full_name": "Aditya Mehta",
        "title": "Founder/CEO",
        "founder_bio": "I have been working at the intersection of financial services and technology for more than 8 years, first as a quant at Goldman Sachs and then in the core team at a lending startup Paysense (acquired for $185 Mn by Payu). I love finding problems in financial systems and figuring out solutions to improve them. I am a silver medalist from IIT Bombay.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityamehta1990/",
        "x_url": "https://twitter.com/adityamehta1990",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80c057674e7579990f91ae4513669d539ff9626b.jpg"
      },
      {
        "user_id": 837620,
        "full_name": "Amal Dani",
        "title": "Founder",
        "founder_bio": "I enjoy solving problems from a data and technology perspective. Before Harmoney, I built portfolio management solutions using tech at Goldman Sachs and data-driven trading strategies at a $2 Bn hedge fund. I am a computer science grad from IIT Bombay.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amal-dani-cfa-845555107/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37b2ae01604aee086382ed9a09e98a33738d072a.jpg"
      },
      {
        "user_id": 593284,
        "full_name": "Omkar Ghaisas",
        "title": "Founder",
        "founder_bio": "After graduation, I have spent the last eight years of my career in Corporate Finance and Wealth Management. I enjoy learning about and solving financial problems. I predominantly look after business development at Harmoney.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/omkar-ghaisas/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbe518c2016eae5b30881de5dc4d8dd1cdd88caa.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": []
  },
  {
    "id": 25451,
    "name": "Instant Labs",
    "slug": "instant-labs",
    "former_names": [
      "Instant Domain Search, Inc.",
      "Instant Domains, Inc.",
      "Instant Domains",
      "Strobe",
      "Instant"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fce95230603b3c8d8102ec0f35d5ff87968d9335.png",
    "website": "https://instant.ca",
    "all_locations": "Victoria, BC, Canada; Remote",
    "long_description": "Instant Labs started in 2005 by building the fastest domain search engine on the internet: https://instantdomainsearch.com. People have performed over 2.5M searches and purchased 250K domains with our free tool.",
    "one_liner": "Instant Labs builds modern tools to help you find and buy domain…",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1647887201,
    "tags": [
      "SaaS",
      "B2B",
      "Marketing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "Canada",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/instant-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/instant-labs.json",
    "year_founded": 2005,
    "city": "Victoria",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/instant-labs/",
    "x_url": "https://twitter.com/instant_ca",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/instant-labs",
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    "founders": [
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        "user_id": 10064,
        "full_name": "Beau Hartshorne",
        "title": "Founder",
        "founder_bio": "Beau, a software developer, started Instant in 2005 to help businesses quickly get online. In 2006, he created Snipshot, an early online image editor. Beau then joined Facebook as an early employee, where he played key roles on the growth, photos, and mobile teams.\n\nHe's released multiple patents including dynamically cropped images and techniques for handshake-free encrypted communication. Beau also wrote for Smashing Magazine.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/beauhartshorne",
        "x_url": "https://twitter.com/hartshorne",
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      },
      {
        "user_id": 856092,
        "full_name": "Dirkjan Ochtman",
        "title": "Founder",
        "founder_bio": "Professional Rust open source maintainer. See https://xavamedia.nl/ and/or https://github.com/djc for more context.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dochtman/",
        "x_url": "https://twitter.com/djco",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4386897c116d85c993676bf61d259523342f5571.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 80532,
        "title": "Strobe: Creator marketing for software companies",
        "tagline": "Strobe is the AI assistant for better creator partnerships",
        "body": "Hi everyone! We are [Beau](https://github.com/hartshorne) and [Dirkjan](https://github.com/djc), and we're here to present [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc), an AI tool that helps you **find proven influencers who already love your product.**\n\nDirkjan is a [rustls](https://github.com/rustls/rustls) maintainer and built a fast open-source [vector database](https://github.com/instant-labs/instant-distance) in Rust before anyone knew they needed one. As an engineer on Facebook's growth and mobile teams, [Beau](https://www.github.com/hartshorne) helped rebuild Facebook twice, once on the [web](https://techcrunch.com/2009/09/10/breaking-facebook-lite-launches-in-the-u-s/) and again on [iOS](https://techcrunch.com/2012/08/23/facebook-for-ios-faster/).\n\n[**Book a call**](https://calendly.com/strobe/beau) with Beau to learn how growth teams are working with influencers now.\n\n### Problem\n\nFounders and growth teams tell us that while influencer marketing has a high ROI, it’s very hard to **find and evaluate content partners at scale.**\n\n1. Finding partners who really understand and care about their products is hard.\n2. Teams do not want to work with creators who post controversial content or are already working with their competitors. But it’s nearly impossible to review thousands of posts by scrolling.\n\n### Our solution\n\n[Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) connects first-party social APIs with modern LLMs so you can quickly find and evaluate influencers in your community. We’re launching with Instagram and will soon roll out integrations with LinkedIn, YouTube, and other platforms.\n\n1. [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) finds influencers in your social communities who already love your products. You can also import your existing customers to find influencers who already use your products.\n\n   ![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/7c4f48ef-9042-4b52-a9d3-5362a373b7e9)\n\n2. [Strobe’s](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) fine-tuned LLMs instantly review thousands of posts with dozens of GPUs to identify key performance metrics, topics, controversial topics, brand partnerships, and unlabeled sponsored content.\n\n   ![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/800331c9-de29-4c76-8f94-48fa13aecf9d)\n\n\n### Our customers\n\n[Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) helps growth and marketing teams at software companies find great content partners at scale. Here are two examples:\n\n1. A large public B2C software company with \\~1M followers uses [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) to segment and analyze their audiences, including customers, to find content partners for influencer marketing.\n2. A growth-stage B2B software company with \\~75k followers uses [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) for competitive research and to screen out creators who share content that does not represent their brand values.\n\n### Our ask\n\n1. [Book a demo](https://calendly.com/strobe/beau) with Beau to see how [Strobe](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc) can help your team\n2. If you have an Instagram professional account, sign up for a free trial at [Strobe.app](https://strobe.app/?utm_source=launch-yc&utm_medium=yc-platform&utm_campaign=yc)\n\n![uploaded image](/media/?type=post&id=80532&key=user_uploads/10064/944f654d-acf1-4ad1-a134-771a2237e1e5)\n\n### Thank you!",
        "url": "https://www.ycombinator.com/launches/Kwu-strobe-creator-marketing-for-software-companies",
        "votes": 18,
        "created_at": "2024-04-30T21:14:01.037Z"
      }
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  },
  {
    "id": 25473,
    "name": "Miggos",
    "slug": "miggos",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b0dfdeb1c9238884730f0ea6e15baf17611120.png",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$40K - $100K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
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          "React",
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      },
      {
        "id": 75538,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/dart/jobs/fY0s284-backend-engineer",
        "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)",
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        "role": "Engineering",
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        "experience": "3+ years",
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      {
        "id": 93995,
        "title": "🎯 Dart: Cursor for Project management",
        "tagline": "Plan projects by chatting with Dart, then hand tasks to AI agents to get things done.",
        "body": "Hey, we’re Dart, and we’re launching AI Chat and Agents on YC and [ProductHunt.](https://www.producthunt.com/products/dartai)\n\nhttps://youtu.be/wdOTDKvaZS0\n\n# **Problem**\n\nProject management involves many hurdles. Tasks falling through cracks, team members wondering what they should be working on, and PM work that takes up more time than the projects themselves. Most project management tools force you to spend an inordinate amount of time on the “management” side instead of talking to users and building products.\n\nLegacy productivity and PM tools have been slow to adapt to LLMs, and even the newer, better ones have only recently begun clumsily tacking on AI features in an attempt to keep up with the trend.\n\n# **Solution**\n\nWe built Dart with AI incorporated from the ground up so teams stop managing logistics and start delivering outcomes. Most PM tools add “AI features.” Dart is fundamentally designed around AI: chat is the UI and agents are first-class collaborators.\n\n* **AI Chat:** Chat to create projects, tasks, subtasks, timelines, specs, and reports. Then conversationally manage your projects as you go\n* **AI Agents:** Invite our built-in or third-party custom agents to handle tasks across all roles such as marketing, design, sales, and coding\n* **Plug into your stack:** Connect all your tools like ChatGPT, Claude, Cursor, n8n, Slack, Discord, GitHub and more\n\n# **Our asks**\n\n* 🎯 Try out Dart today! Sign up at [dartai.com](https://dartai.com/) and leave us some feedback.\n* 😻 Support [our Product Hunt launch](https://www.producthunt.com/products/dartai)\n* We’re hiring for dev and marketing roles! [Apply here.](https://www.ycombinator.com/companies/dart/jobs)",
        "url": "https://www.ycombinator.com/launches/OS3-dart-cursor-for-project-management",
        "votes": 286,
        "created_at": "2025-09-20T10:56:55.553Z"
      },
      {
        "id": 78558,
        "title": "Dart - AI-powered project management",
        "tagline": "The AI tool that will save you seven hours per week in project management overhead",
        "body": "# tl;dr\n\n[Dart](https://www.dartai.com) is a fully-featured project management tool that uses AI to assist with roadmap planning, report generation, breaking tasks into subtasks, and executing on basic writing and design tasks. Teams use Dart in order to plan better and eliminate regular PM chores from their schedule, freeing up seven hours per week to focus on other work.\n\n![uploaded image](/media/?type=post&id=78558&key=user_uploads/850757/7bf68dfc-c1d3-409b-8b7d-995cca92e54c)\n\n# The problem\n\nIt's critical for teams to have some sort of project management system that works in order to stay organized and keep making progress. The issues arise when that project management process begins to take up an undue amount of time. Common processes like filling out and categorizing tasks, writing PRDs, cleaning out the backlog, and other ‘work about work’ are seen as simply the cost of doing business when using legacy tools.\n\n# Solution\n\nDart provides a more intelligent project management suite that will save each person on your team seven hours a week in standard PM busywork. In addition to best-in-class management for tasks, documents, roadmaps, calendars, and more, Dart also boosts your productivity with a suite of helpful AI enhancements.\n\nhttps://youtu.be/CMsBAv9CCyU\n\nThese AI functions include:\n\n\\- Automatic standup, changelog, and project report generation\n\n\\- Roadmap planning\n\n\\- Duplicate task detection\n\n\\- Subtask generation\n\n\\- Automatic Task execution with agents (currently for writing and design tasks)\n\n\\- Task categorization and filling (e.g. automatically assigning tasks to the right person)\n\n\\- AI-powered brainstorming\n\n\\- ChatGPT integration\n\n# Our Ask\n\nTry it out! [Dart is freely available](https://app.dartai.com/sign-up) to use now and start managing tasks with your team. We'd love to support and are always welcome to ideas or feedback.",
        "url": "https://www.ycombinator.com/launches/KR4-dart-ai-powered-project-management",
        "votes": 424,
        "created_at": "2024-02-20T16:06:22.408Z"
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    "id": 25593,
    "name": "Cardda",
    "slug": "cardda",
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    "website": "https://cardda.com",
    "all_locations": "Santiago, Santiago Metropolitan Region, Chile; Mexico City, CDMX, Mexico",
    "long_description": "All-in-one spend management for businesses in Latam.\r\nWe give customers tools for bill payments, automated local transfers and corporate cards.",
    "one_liner": "All-in-one spend management for businesses in Latam",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1644575523,
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      "B2B",
      "Neobank"
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      "Partly Remote"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "year_founded": 2020,
    "city": "Santiago",
    "country": "CL",
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        "full_name": "Cristóbal Grinbergs",
        "title": "Founder",
        "founder_bio": "Cardda CEO and cofounder, the all-in-one spend management for business in Latam. Before, I built Rentz, a marketplace to rent heavy equipment that reached breakeven and worked at IBM and Procter and Gamble. Born in Chile 🇨🇱",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cgrinbergs",
        "x_url": "https://twitter.com/cgrinbergs",
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      },
      {
        "user_id": 268775,
        "full_name": "Sebastián Hernández",
        "title": "Founder",
        "founder_bio": "Cofounder & CTO @ Cardda. The all-in-one spending management platform for business in Latam. Built Rentz, a marketplace for heavy machinery rental before pivoting to Cardda during the pandemic. Made in Chile.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sebastián-hernández-cardda/",
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    "launches": [
      {
        "id": 65557,
        "title": "Cardda 💵 ⚡️ - Business payments simplified in Latam",
        "tagline": "Meet Cardda, the simplest way for Latam companies to make their payments",
        "body": "**TL;DR** We're building [Cardda](https://cardda.com?utm_source=yc&utm_medium=post&utm_campaign=launchyc&utm_id=launchyc&utm_content=1), the simplest way for Latam companies to make their payments. We give corporate credit cards, tools for bill payments and automated local transfers.\n\n> Hi everyone! 👋 We are Sebastián and Cristóbal, and would love to tell you about [Cardda](https://cardda.com?utm_source=yc&utm_medium=post&utm_campaign=launchyc&utm_id=launchyc&utm_content=2).\n>\n> # **Problem**\n\n---\n\n---\n\n1. Businesses are wasting a lot of time paying other businesses, it's common to hear questions like: who approved this invoice?, who initiated this payment?, should we pay the supplier this week or next week?\n2. Employee expenses and reimbursements: receipts lost, reconciliation time consuming, visibility on payments weeks after purchases made, no control over what employees can pay and no budgets\n3. Corporate cards are slow to obtain, have poor spending controls and transactions aren't incorporated with company's accounting systems\n\n---\n\n# **Solution**\n\nWe enable companies to **initiate, track and reconcile every payment** they make to other businesses, using the local payments methods accepted by business and showing all the accounts payable in real time through direct integration with each country's invoice system.\n\nAPI and dashboard to **automate mass local payouts.**\n\n![uploaded image](/media/?type=post&id=65557&key=user_uploads/285661/4980c335-7df2-4626-9cd5-20d989706c8b)\n\n**Unlimited physical and virtual corporate credit cards** with granular controls to pay for their expenses, real time visibility in each purchase, set spending controls and option to block merchants.\n\n![uploaded image](/media/?type=post&id=65557&key=user_uploads/285661/0f9e9a56-0656-46dc-87bd-8f89d9cbdc04)\n\n---\n\n# **Ask 🤝**\n\n* If you are wasting time paying your bills, making reimbursements or your corporate cards aren't great, please reach out to us, would be thrilled to help!\n* Intros to companies in any vertical in Latam that are making more than 50 monthly payments\n* Follow us [here](https://cl.linkedin.com/company/cardda)\n\n---\n\n**We would love to talk to you! 🤩, please** [**click here**](https://calendly.com/cardda/15-yc) **for a 15 min chat or reach us at** [**founders@cardda.com**](mailto:founders@cardda.com)",
        "url": "https://www.ycombinator.com/launches/H3N-cardda-business-payments-simplified-in-latam",
        "votes": 36,
        "created_at": "2022-08-22T22:50:50.141Z"
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    "id": 25603,
    "name": "Reforged Labs",
    "slug": "reforged-labs",
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    "website": "https://reforgedlabs.com/",
    "all_locations": "Ho Chi Minh City, Vietnam",
    "long_description": "Reforged Labs Boa is the AI creative intelligence agent that answers all your questions about what ads are performing, why they work, and what to create next.",
    "one_liner": "Turn intuition into insights, in minutes",
    "team_size": 19,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1644566628,
    "tags": [
      "B2B",
      "Gaming",
      "Marketing",
      "Advertising",
      "AI"
    ],
    "tags_highlighted": [],
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    "batch": "Winter 2022",
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    "regions": [
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      "Southeast Asia",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/reforged-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/reforged-labs.json",
    "year_founded": 2021,
    "city": null,
    "country": "VN",
    "linkedin_url": "https://www.linkedin.com/company/reforged-labs",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/reforged-labs",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d777f64a6f8aa21e8a0f44f260c8cb87a5ac203.png",
    "app_video_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 844410,
        "full_name": "Robert Huynh",
        "title": "Founder",
        "founder_bio": "Robert is the co-founder and CEO of Reforged Labs. Previously, he was at some of the world's largest tech companies (X the moonshot lab/Google/Microsoft) before starting his MBA at Harvard Business School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/huynhrobert/",
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    "jobs": [
      {
        "id": 92614,
        "title": "Software Engineer, AI Systems",
        "url": "https://www.ycombinator.com/companies/reforged-labs/jobs/MNhGZV1-software-engineer-ai-systems",
        "location": "Ho Chi Minh, Viet Nam",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1 - $100",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 92615,
        "title": "Product Manager, Enterprise",
        "url": "https://www.ycombinator.com/companies/reforged-labs/jobs/EUk5TFZ-product-manager-enterprise",
        "location": "San Francisco, United States / SG / Remote (US; VN; SG)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
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        "experience": "3+ years",
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    ],
    "news": [
      {
        "title": "Reforged Labs begins open beta for generative AI-created mobile game ads following $3.9m investment | PocketGamer.biz",
        "url": "https://www.pocketgamer.biz/reforged-labs-begins-open-beta-for-generative-ai-created-mobile-game-ads-following-39m-investment/",
        "date": "Nov 19, 2024"
      },
      {
        "title": "Reforged Labs launches AI ad-creation service for mobile games in open beta | VentureBeat",
        "url": "https://venturebeat.com/games/reforged-labs-launches-ai-ad-creation-service-for-mobile-games-in-open-beta/",
        "date": "Nov 15, 2024"
      },
      {
        "title": "Reforged Labs secures $3.9 million for gaming ads with GenAI | PocketGamer.biz",
        "url": "https://www.pocketgamer.biz/reforged-labs-secures-39-million-for-gaming-ads-with-genai/",
        "date": "Aug 18, 2024"
      },
      {
        "title": "You can’t spell gaming without AI | Tech in Asia",
        "url": "https://www.techinasia.com/spell-gaming-ai",
        "date": "Aug 13, 2024"
      },
      {
        "title": "Reforged Labs Raises $3.9 Million",
        "url": "https://reforgedlabs.com/blog/reforged-labs-raises-3-9-million-to-transform-gaming-ads-with-genai",
        "date": "Aug 09, 2024"
      }
    ],
    "launches": [
      {
        "id": 78942,
        "title": "Reforged Labs - Generate and optimize video ad campaigns",
        "tagline": "Generate and optimize video ad campaigns at superhuman speed",
        "body": "![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/a67b3219-3d42-44ad-b0fc-77040bc0eb90)\n\n**TL;DR:** [Reforged Labs](https://reforgedlabs.com/) is automating the full marketing cycle for mobile game studios with GenAI. Our text-to-ad creation and campaign performance solutions will slash time spent on ad creatives and help game developers get more mileage out of their game ad budgets.\n\n😤 **THE PROBLEM**:\n\nMarketing games is expensive and challenging. Mobile game studios spend >50% of their budgets on marketing - more than on development itself - to acquire and retain players. Today, your marketing workflow likely consists of this:\n\n* Design up to thousands of image, video, and playable ad units per campaign - for multiple campaigns across multiple ad networks\n* Analyze how each ad unit performs - then try your best to figure out which aspects of your ads made them hit or miss (because your reporting tools won’t be giving you that data)\n* Revise your ads and design new ones based on your best guess on what makes your players tick, without knowing whether your experimentation will pay off\n* Manually replace old and low-performing ads with new ones, and repeat the process across all your ad channels\n\n🤩 **THE SOLUTION**:\n\nWe make marketing campaigns substantially faster to run + deliver higher returns on your ad spend. Upload your game images and footage, enter simple text prompts for the ads you’d like to see, and we’ll extract the relevant visual assets and create your ads using a proprietary combination of LLMs, machine perception, and computer vision. Automatically resize finished creatives to fit multi-platform specs and export them as campaign-ready ad units.\n\nReduce your ad development time from days / weeks / months to minutes.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/179c886c-ad78-41b9-bc44-f9c4d354a183)\n\nOnce your campaign is up and running, our models analyze and identify which attributes likely made certain ads more effective. Our self-improving models will\n\n🎨 Improve your existing ads by adjusting visual elements to include performance-lifting attributes\n\n🌟 Create new & original ads based on re-scanning your uploaded assets\n\n🚀 Automatically push new & improved ads to your x-channel campaigns and retire low-performers\n\nIncrease the ROI on your biggest expense with continuous, data-driven optimization.\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/03f5587d-e3e3-4796-88f5-5b8aa2871c30)\n\n🎮 **OUR STORY**:\n\n[**Oscar**](https://www.linkedin.com/in/oscarxingluo) and I ([**Robert**](https://www.linkedin.com/in/huynhrobert/)) met over two years ago as serial founders who shared a love for gaming (and countless hours of duo-queuing in League of Legends). We wanted to put our data science and GenAI/deep learning backgrounds to work on solving one of the biggest problems in a space we’re deeply passionate about - and that’s how Reforged Labs was founded six months ago. We’ve since formed a guild of ex-Googlers, ex-Rioters, ex-Microsofties, and a rolodex of indie and multinational clients, to join us on our journey to innovate game marketing!\n\n![uploaded image](/media/?type=post&id=78942&key=user_uploads/844410/d5a46d9b-d785-4a88-aea3-c26aa725589a)\n\n🙏 OUR ASK:\n\n* **Warm intros!** Share our post with mobile game developers, publishers, agencies, or marketers who’d like to explore what GenAI can do for them - we’d love to connect! Our waitlist is [**here**](https://reforgedlabs.com/) and our inbox is always open at [**founders@reforgedlabs.com**](mailto:robert@reforgedlabs.com)\n* **Ideas and feedback!** We’re constantly looking to connect with people with expertise in gaming, martech, and AI. Hit us up through our [**Calendly**](https://calendly.com/reforged/meet-robert) to let us know what would make you want to use a product like Reforged, or just to chat!\n\n**Meet with us in person at GDC March 18-22.** We’ll be around the corner of the Moscone Center and ready to mingle!",
        "url": "https://www.ycombinator.com/launches/KXG-reforged-labs-generate-and-optimize-video-ad-campaigns",
        "votes": 28,
        "created_at": "2024-03-01T14:10:59.180Z"
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  },
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    "id": 25605,
    "name": "Ranla",
    "slug": "ranla",
    "former_names": [
      "EXO Freight",
      "Super Send",
      "SuperSend"
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    "website": "https://ranla.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Ranla is an AI growth marketer for PLG SaaS teams. You instrument product events once; Ranla segments users, plans lifecycle campaigns, writes the email, sends it on infrastructure you control, and reports back in dollars — trials converted, upgrades, churn risk — not just opens and clicks.\r\n\r\nMost founders ship the product but never hire a lifecycle marketer. Ranla owns that loop: weekly plans, occasion-based sends, A/B tests, and approval flows so nothing goes out without you when you want a gate. Transactional and lifecycle email live on the same stack, so password resets and onboarding drips aren't split across Resend plus a separate ESP.\r\n\r\nWe're built for teams with signups and revenue data but no one running email full time — the gap between \"we have users\" and \"we have a growth motion.\"\r\n\r\n\r\n",
    "one_liner": "The AI growth marketer that turns SaaS signups into revenue",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1642105352,
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      "Sales",
      "Sales Enablement",
      "Marketing"
    ],
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    "batch": "Winter 2022",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/ranla",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ranla.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ranla",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 856613,
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        "full_name": "Baran Özkan",
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        "date": "Apr 01, 2025"
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        "url": "https://twitter.com/FlagrightHQ/status/1630174439466840064",
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        "url": "https://techcrunch.com/2022/06/28/flagright-offers-transaction-monitoring-with-usage-based-pricing/",
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        "id": 76102,
        "title": "Flagright AI Forensics 🛡️  AI-native AML investigations for fintechs & banks",
        "tagline": "We increase the quality and speed of financial crime investigations through natural language queries & AI agents",
        "body": "tl;dr: AI Forensics supercharges AML compliance & fraud team performance with a 90% productivity boost by harnessing natural language queries and AI-native analysis. [Watch it](https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s) in action 👇🏼.\n\nHi everyone, we are Madhu and Baran, from [Flagright](https://flagright.com).\n\n# 🚀 Introducing Flagright AI Forensics: The modern standard in AML compliance\n\nAt Flagright, we've created a powerhouse tool that enhances the speed and quality of financial crime investigations. By blending natural language processing with robust AI agents, we transform how fintechs and banks stay compliant and prevent financial crime.\n\n# 🔍 The Problem\n\nFinancial crime investigations take too long. Fintechs & banks cannot scale volume and grow without hiring a proportional amount of headcount into AML and fraud departments. This is because data is silo’d, teams have to access data on many different tools, and process/manipulate this data to investigate the suspicious activity as they reach a conclusion. As a result, they are always limited by the time it takes to conduct these tasks every single day for every single alert.\n\n# ✨ The Solution\n\nAI Forensics delivers extreme performance through natural language queries and AI-native analysis of suspicious activity. It can learn from a company’s internal policies, procedures, or continuous usage of the platform such as how past investigations were conducted.\n\n![uploaded image](/media/?type=post&id=76102&key=user_uploads/672295/67c58686-2cad-4bf5-83dd-29cef4e17321)\n\nIt is build on top Flagright’s centralized data infrastructure and data processing pipelines with LLMs and algorithms. That’s how it’s able to deliver accurate, cohesive analysis across a wide variety of use cases. Unlike pure LLM solutions, it can accurately make factual analysis, calculations, and display charts & tables instantly.\n\n# 🛠 How It Works\n\n<https://www.youtube.com/watch?v=xRBKj2RLUvc&t=1s>\n\n# 📣 Ask\n\nBe part of our journey in building the next generation anti financial crime infrastructure for fintechs & banks globally:\n\n* Follow us on LinkedIn to stay posted on our latest updates at <https://www.linkedin.com/company/flagright>\n* Get in touch for a live demo and to learn more at <https://www.flagright.com/contact>",
        "url": "https://www.ycombinator.com/launches/JnS-flagright-ai-forensics-ai-native-aml-investigations-for-fintechs-banks",
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        "created_at": "2023-11-09T09:47:36.523Z"
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      {
        "id": 71272,
        "title": "Flagright AI: A GPT-powered AI toolkit for AML compliance ops",
        "tagline": "Supercharge your financial crime prevention & AML compliance with Flagright AI & GPT",
        "body": "Hi there, this is [Baran](https://www.linkedin.com/in/baranozkan/) and [Madhu](https://www.linkedin.com/in/madhugnadig/) from [Flagright](https://flagright.com/)! 👋🏼\n\nFlagright provides an all-in-one software for financial institutions to manage financial crime risk and meet AML compliance regulations 🕵🏼. Our unified API delivers the essential (and mandatory) capabilities for regulatory compliance such as transaction monitoring, risk scoring, sanctions screening, case management and more, all managed via a no-code, flexible, and intuitive interface by the operational teams.. Flagright offers the fastest integration times globally: 4 days on average across all integrations with fintechs in 6 continents.\n\n![uploaded image](/media/?type=post&id=71272&key=user_uploads/89898/43eea7a5-9a88-4233-b405-f0a70bc36ebe)\n\n> # \n>\n> # **The launch: Flagright AI 🤖**\n>\n> Financial crime ops teams spend a lot of time doing research on customers and investigating suspicious activity on a daily basis. The mundane tasks are the main driver of inefficiency and headcount for financial institutions and fincrime teams 😩. Flagright AI **automates these tasks and even eliminates it entirely** for certain use cases such as merchant monitoring 🔎.\n\nIn addition to our proprietary technology, Flagright AI leverages the GPT API for specific features. **This is the first time the power of GPT is brought to AML compliance teams at scale, globally!** 🚀\n\nHere's an overview of the newest capabilities:\n\n1. **Merchant monitoring and alerting 🔎:** The GPT-powered merchant monitoring and alerting module enables Flagright customers to monitor merchants across multiple sources and channels with zero manual input. It eliminates 100% of manual monitoring efforts and improves fincrime operations while ensuring fast response times and maximum risk-mitigation.\n2. **Salesforce, Zendesk, and Hubspot integrations + GPT summaries ✉️:** The CRM integrations will consolidate your CRM correspondence within the Flagright case management system, with Flagright AI summarizing the highlights of customer correspondence. It eliminates the need to comb through tens of emails and messages for each customer correspondence. As a result, it saves analysts 15% of their time each day, improving operational efficiency and accuracy.\n3. **Case and alert narrative generator ✍️:** Our AI Narrative Writer drastically improves analyst performance, decreasing the time it takes to write a contextual narrative for each suspicious activity by 90+%. Flagright AI captures an analyst’s writing style, sentiment, user information, case closing reason, and specific suspicious activity.\n4. **AML AI risk score ⚠️:** AML Compliance Officers can now leverage AI to risk score their customers as a complementary mechanism to their traditional risk assessment (CRA) approach. The combination of heuristics & AI delivers maximum operational efficiency while maintaining explainability for regulators.\n5. **SAR generator 📇:** Our Suspicious Activity Report generator leverages GPT and can automatically create a SAR for any suspicious activity flagged by our platform's monitoring systems, reducing the time spent by 99%. Flagright AI ensures that SARs are generated consistently and accurately and reduces the risk of errors in manual SAR creation.\n\nFlagright AI represents a significant milestone in our journey to empower financial institutions with best-in-class operational tooling for AML compliance and fraud prevention.\n\nWe are excited to see the impact that Flagright AI will have on our customers and building a safer, more secure financial ecosystem. [Contact us](https://www.flagright.com/contact) to schedule a free demo if you are interested in learning more.\n\n# Launch deal\n\n* 50% discount on Flagright AI suite for the next 5 customers that sign up. First come, first serve! Get a demo now by clicking [here](https://www.flagright.com/contact)!\n* Y Combinator companies have additional discounts apply [here](https://deals.ycombinator.com/deals/1159).",
        "url": "https://www.ycombinator.com/launches/IXY-flagright-ai-a-gpt-powered-ai-toolkit-for-aml-compliance-ops",
        "votes": 34,
        "created_at": "2023-04-30T07:17:27.843Z"
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        "id": 67971,
        "title": "Flagright Launchpad 🚀: Radically simplify fintech licensing & BaaS onboarding",
        "tagline": "A faster & cheaper alternative for fintechs to do BaaS onboarding, apply for a license, or create AML compliance policies.",
        "body": "[Flagright Launchpad](https://www.flagright.com/professional-services) helps starting or scaling fintechs simplify regulatory licensing and BaaS onboarding.\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/3bafeb6a-2d0c-437c-b1b6-7df426efba53)\n\nIt’s currently available in the UK 🇬🇧, Canada 🇨🇦, Singapore 🇸🇬, Kenya 🇰🇪, and the EU 🇪🇺, with new jurisdictions launching soon. With Launchpad, you can 👇:\n\n1. **Onboard with BaaS providers** of your choice or connect with our partners like CurrencyCloud, Rapyd, ClearJunction and more. 🏦\n2. Create **customized AML compliance policies** for each jurisdiction & use case. 📜\n3. **Apply for fintech license** in each jurisdiction for specific license types. 💼\n4. Get **advisory services for AML compliance** or fraud-related questions. 🛎\n\n![uploaded image](/media/?type=post&id=67971&key=user_uploads/672295/306bdf29-b01e-43c2-8a22-285d31b3e501)\n\n### **Expert Team** 🦸\n\nLaunchpad is built by fintech operators and led by ex Group MLRO of Revolut with 15+ years of experience in regulatory relationships, AML compliance, and banking.\n\n### **What we don’t do** ⛔\n\nFlagright team does not provide legal advice.\n\n### **How to get in touch** 🤙\n\nSchedule a call & get started at <https://www.flagright.com/professional-services>",
        "url": "https://www.ycombinator.com/launches/HgJ-flagright-launchpad-radically-simplify-fintech-licensing-baas-onboarding",
        "votes": 30,
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        "url": "https://www.ycombinator.com/companies/sphere/jobs/vReUfAx-senior-backend-engineer-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Devops",
        "salary_range": "$180K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Kubernetes",
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      },
      {
        "id": 80568,
        "title": "Senior Backend Engineer (Data)",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/RWOPvIp-senior-backend-engineer-data",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Backend",
        "salary_range": "$180K - $250K",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Data Warehousing",
          "Data Modeling"
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      },
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        "id": 80988,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/3V9MbbG-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 86405,
        "title": "AI Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/5CBpoL3-ai-engineer",
        "location": "San Francisco HQ",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "visa": "US citizen/visa only",
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        "id": 94681,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/sphere/jobs/janritJ-founding-forward-deployed-engineer",
        "location": "San Francisco HQ",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "title": "Sphere: The Global Tax Compliance Platform",
        "url": "https://www.youtube.com/watch?v=L_UjKHUfN7E",
        "date": "Nov 19, 2025"
      },
      {
        "title": "a16z leads $21M Series A into AI-native tax compliance software Sphere | TechCrunch",
        "url": "https://techcrunch.com/2025/11/18/a16z-leads-21m-series-a-into-tax-compliance-platform-sphere/",
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      {
        "id": 83117,
        "title": "Sphere - Global sales tax / VAT / GST compliance powered by LLMs  🌎",
        "tagline": "We help US companies sell anywhere in the world while remaining compliant.",
        "body": "### **TLDR**\n\n[Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=launchpost) puts global indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot - everything from nexus monitoring, registration, calculation / collection, filing, and remittance. Our AI-powered tax engine helps tech companies like Runway AI, Sierra AI and Codieum remain in compliance when selling to customers around the world. Want an estimate on your global indirect tax liability free of charge? [Talk to the Sphere team today](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n### **The problem**\n\nWhen I ran [my last business](https://www.businessinsider.com/y-combinator-edtech-startup-sphere-seed-round-workplace-training-2022-8), we sold our product globally from day 1 and had a number of challenges with domestic and international tax compliance.\n\nSpecifically, we didn’t even know where/when we needed to pay sales tax, VAT, or GST, and even when we did, dealing with archaic government portals and filing on a regular basis was a royal pain in the behind. \n\nAfter talking to hundreds of finance leaders, we found similar pain points, and when it comes to indirect tax, companies either:\n\n* **Ignore it,** but their tax liabilities accrue, and eventually, they have to pay the liability out of pocket, which can block future fundraises. Additionally, it is becoming increasingly difficult to ignore as tax authorities pass new regulations to clamp down on indirect tax evasion, especially for tech companies. \n* **Use an incumbent tax automation tool** (e.g. Avalara), but they don’t provide functionality for international coverage, are old/clunky, very expensive, and offer terrible support\n* **Use local tax advisors,** which becomes incredibly expensive as you scale\n\n### **Our solution**\n\nSphere’s platform puts international indirect tax compliance (i.e., sales tax, VAT, and GST) on autopilot:\n\n_Step 1_: We integrate with your payment, billing, and HR solutions to help you see where in the world you’ve triggered economic or physical nexus and how big your indirect tax liability is.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/d64c617f-1911-4b9d-a509-aa38218c8d7a)\n\n_Step 2_: Once you know where you’re exposed you can register in any jurisdiction via our integrations with local tax authorities. We’ve done the heavy lifting of building these integrations to provide a holistic and superior customer experience (unlike other solutions that will push you to one of their international advisory partners)\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/2fd26632-aa74-4117-a949-691ba98a4c19)\n\n_Step 3_: We leverage scraping technology and LLMs to collect, monitor, and process tax code data around the world (which is then verified by tax experts). Our AI tax engine integrates with your payment and billing provider to ensure you’re calculating and collecting tax correctly for your transactions based on 1. the product being sold and 2. the customer's location.  \n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/b171ff6b-e556-4bb0-9aee-9652ca25ea98)\n\n_Step 4:_ We then file your tax returns in each jurisdiction and remit tax collected to local authorities - on time, every time.\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/92a2e99e-18c3-4a94-bf6b-2909ffe49c48)\n\n### **How we are different** \n\n* **True global coverage**: We’ve built out integrations with tax authorities around the world and are building a proprietary system that uses AI to collect and monitor tax data globally, providing compliance across sales tax, VAT, and GST. Other vendors will say they are ‘global’ but will offload you to an international partner for VAT / GST (which means a disjointed experience, more work for you, and more $$$ spent)\n* **We're focused on fast-growing software / AI companies:** We are an extremely developer-friendly product (easy implementation, broad set of integrations, flexible APIs) and have the most transparent and reasonable pricing on the market ($100 / region/month all-inclusive)\n* **Built with AI at the core**: Our tax engine is powered by an LLM trained on local + global tax legislation and tax rate data to ensure all your transactions are in compliance wherever you sell (other vendors do this research manually, which is hard to scale globally and prone to errors!).\n\n### **Team** \n\n[Nick](https://www.linkedin.com/in/nicholasrudder/) comes from a finance background in the TMT sector (PwC, Macquarie) and experienced the pain of dealing with indirect tax firsthand in his last business, which was a B2C marketplace selling across the world. \n\n[Mehmood](https://www.linkedin.com/in/meshde/) and [Miguel](https://www.linkedin.com/in/miguelribeironeto/) built and optimized many of the cross-border compliance systems at Deel and were previously the founding engineers at Capbase (founded by YC alums), which helped businesses with entity setup and administrative compliance around the world.\n\nWe’re also lucky to have a team of indirect tax experts from companies like Uber, Avalara, and more. \n\n### **Vision** \n\nWe are building an AI-powered cross-border compliance platform so that businesses can transact seamlessly around the world. \n\nAs our engine ingests more compliance legislation from each region and becomes more robust with each customer, we will layer in additional cross-border services, including withholding tax, e-invoicing, and payments services, to further help businesses go global from day 1.    \n\n**_We want to be the Deel for international billing._** \n\nBy abstracting away compliance and cross-border payment admin, we believe this: \n\n* Levels the playing field for startups to compete against global incumbents\n* Helps governments and local economies benefit more from international trade\n\n### **Asks** \n\n* Want to better understand your tax liability? [Onboard with Sphere for free,](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team) and we’ll show you where you’re exposed and provide an estimate of your tax liability (we only charge once you register and file for a jurisdiction) \n* Know a CEO or finance leader who needs help with sales tax / VAT / GST or hates their current solution? Please reach out to me at [nicholas@getsphere.com](mailto:nicholas@getsphere.com) or feel free to send the below blurb to them.\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\\nA YC company called [Sphere](https://www.getsphere.com/?utm_source=yclaunch&utm_medium=referralblurb) has built an AI-powered indirect tax compliance platform that offers global coverage, easy implementation, and stellar support, all for a flat fee per region per month. They’re already helping global software and AI businesses like Runway AI, Sierra AI, Codeium, and many more. Book a time with them [here](https://calendly.com/d/44n-bjc-wq7/meeting-with-sphere-team).\n\n![uploaded image](/media/?type=post&id=83117&key=user_uploads/516489/50763454-8047-46b2-8320-4903d0c66473)\n\n",
        "url": "https://www.ycombinator.com/launches/Lcb-sphere-global-sales-tax-vat-gst-compliance-powered-by-llms",
        "votes": 54,
        "created_at": "2024-08-16T14:34:53.765Z"
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    "long_description": "We rewrite and optimise your internal documentation for AI, giving it deep enterprise context. This unlocks substantially better LLM results across all AI workflows.\r\n\r\nPROBLEM:\r\n--------------\r\n• AI teams struggle with LLM accuracy building AI workflows and agents because of messy, conflicting, fragmented internal knowledge.\r\n• Internal knowledge conflicts, uses undefined jargon and rely on unstated company assumptions & context.\r\n• LLMs are like Day 0 fresh hires – they can’t understand this documentation properly without someone explaining context to them.\r\n• Furthermore, vector search suffers from poorer retrieval accuracy when company context and terms are not present in a knowledge article\r\n\r\nWHAT WE DO\r\n-------------------\r\n• Clean & De-Conflict: Our AI agents read every doc, resolve contradictions, and builds content relationships.\r\n\r\n• Context Distillation: Our AI agents read & compare related docs, distills context and rewrites an LLM-optimised version of your internal documentation. Optional human-approval ensures 100% confidence in the output.\r\n\r\nTHE OUTCOME\r\n----------------------\r\n• Agents and chatbots that actually understand your enterprise context.\r\n• Retrieval that delivers precise, policy-aligned answers on the first try.\r\n• A living knowledge base that stays synchronized with every new doc revision.\r\n",
    "one_liner": "AI agents rewriting & optimising your internal documentation for LLMs",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "nonprofit": false,
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
    "app_video_public": false,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/refinetrain-ai.json",
    "year_founded": 2021,
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    "website": "https://salt.pe",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Salt is a neo banking solution stitched together to ease payments and documentation which comes with business banking by moving it to a digital-first and automated end to end platform.",
    "one_liner": "B2B Cross-Border Payment & Compliance Platform",
    "team_size": 14,
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    "regions": [
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      "Partly Remote"
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        "linkedin_url": "https://www.linkedin.com/in/ankitparasher",
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        "title": "Founder",
        "founder_bio": "Dynamic co-founder with 3+ years of experience in fintech, product development, growth, and brand strategy. Y Combinator W22 alum and Forbes 30 Under 30 honoree with a proven track record of scaling early-stage companies, raising $2M+ in venture funding, and driving 20%+ early MoM growth with 98% retention. Skilled in leading cross-functional teams, building high-performing organisations, and executing data-driven GTM and engagement strategies. Built a personal audience of 200,000+ across social",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/uditapal/",
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    "id": 25657,
    "name": "Complete",
    "slug": "complete",
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    "website": "https://complete.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The complete way to communicate compensation, starting with our interactive offer letters.",
    "one_liner": "The complete way to do compensation",
    "team_size": 5,
    "industry": "B2B",
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    "launched_at": 1644954818,
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      "B2B",
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    "regions": [
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    "primary_partner": {
      "name": "Brad Flora",
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    "founders": [
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        "user_id": 277418,
        "full_name": "Rani Mavram",
        "title": "Founder",
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        "is_active": true,
        "linkedin_url": "http://linkedin.com/in/ranimavram",
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        "skills": [
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      },
      {
        "id": 74108,
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        "location": "San Francisco Office",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$130K - $200K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 75157,
        "title": "Senior/Staff Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/complete/jobs/0hYCH2O-senior-staff-fullstack-engineer",
        "location": "San Francisco Office",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K",
        "equity_range": "0.10% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
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        "title": "Senior/Staff Backend Engineer",
        "url": "https://www.ycombinator.com/companies/complete/jobs/rdVenCn-senior-staff-backend-engineer",
        "location": "San Francisco Office",
        "type": "Full-time",
        "role": "Engineering",
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        "skills": [
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      },
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        "url": "https://www.ycombinator.com/companies/complete/jobs/J4DQGkX-customer-success-manager",
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        "id": 79067,
        "title": "Founding BDR",
        "url": "https://www.ycombinator.com/companies/complete/jobs/Etp5wNK-founding-bdr",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "salary_range": "$70K - $120K",
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        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Complete helps startups think through the ‘why’ and ‘how’ of employee pay – TechCrunch",
        "url": "https://techcrunch.com/2022/08/22/complete-startups-compensation-salary-benefits-tech-employee-equity-strategy-hiring-retention-philosophy-y-combinator/",
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        "id": 70645,
        "title": "SpadeWorks: AI agents for trade businesses",
        "tagline": "AI agents that turn every call into revenue for trade businesses",
        "body": "Hi All,\n\nI’m excited to share [Spadeworks](http://www.spadeworks.co) with you all\n\n## Problem\n\nTrade contractors lose 40% of potential revenue because they can't answer calls while working on jobs. Every missed call is a missed customer - whether it's an emergency plumbing call at 9pm or a pest control inquiry during a busy day. Traditional solutions like call centers are expensive and don't understand trade-specific needs like emergency vs routine calls, seasonal pricing, or multi-visit treatment protocols.\n\n## Insight\n\nTrade contractors have predictable, repeatable customer interactions that follow industry-specific patterns. A pest control call about wasps needs immediate scheduling, while routine maintenance can wait. HVAC emergencies have different urgency than annual tune-ups. These conversations follow scripts that can be automated, but only if the AI understands trades terminology, pricing structures, and seasonal patterns.\n\n## Solution\n\nSpadeworks provides AI agents specifically trained for trade industries. Our AI answers calls, triages by urgency (emergency vs routine), schedules appointments based on technician availability and geographic routes, generates quotes using the contractor's pricing, sends SMS reminders, and handles follow-ups. When complex issues arise, it seamlessly transfers to humans with full context. The AI integrates with existing CRM and scheduling systems.",
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        "body": "Hey there!\n\nHenry and Flash from [Curacel](https://www.ycombinator.com/companies/curacel) here, introducing **Curacel Grow** to you!\n\n**The Problem**\n\nTech-enabled companies want to offer insurance - to create additional value and build loyalty with their customers. They also see this as a secondary source of revenue.\n\nHowever, the process of making that happen today is extremely complex because the insurers don’t have the tools to make this happen seamlessly.\n\n**How does Curacel Grow solve this problem?** \n\nCuracel Grow  provides APIs and tools that enables anyone easily embed insurance products within other digital experiences. \n\nWith our API, any company can add any type of insurance to their product. Our API enables any digital business to display a real time insurance quote on their product, and their customers can complete a purchase without leaving the app.\n\n![uploaded image](/media/?type=post&id=64527&key=user_uploads/123045/08c0bda0-c628-45c6-ba1e-42b4fba6bde9)\n\n**Curacel Grow lets you:** \n\n* Increase Customer Lifetime Value\n* Increase Customer Loyalty\n* Increase Customer Retention\n\n**We’d love to hear from you!**\n\nWant to embed insurance quickly into your product? Book some time with us for a [demo.](https://www.curacel.ai/)\n\nFor any other questions or enquiries, feel free to send us an email at: [**grow@curacel.ai**](mailto:grow@curacel.ai)",
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        "user_id": 820920,
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        "url": "https://www.ycombinator.com/companies/prembly/jobs/gKkiuiJ-data-analyst-and-machine-learning-engineer",
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      {
        "title": "Tunnel acquired by Prembly",
        "url": "https://technext24.com/2023/07/31/prembly-acquires-tunnel-to-expand/",
        "date": "Jul 26, 2023"
      },
      {
        "title": "Nigeria’s Prembly is building security products for emerging markets businesses - Disrupt Africa",
        "url": "https://disrupt-africa.com/2023/06/16/nigerias-prembly-is-building-security-products-for-emerging-markets-businesses/",
        "date": "Jun 15, 2023"
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      {
        "title": "Identitypass, an identity verification API for Africa, raises $2.8M seed funding – TechCrunch",
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        "full_name": "Anji Ismail",
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        "user_id": 845969,
        "full_name": "Faouzi EL YAGOUBI",
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        "title": "Nigeria’s Grey is helping users exchange local currency and access foreign currencies - Disrupt Africa",
        "url": "https://disrupt-africa.com/2023/06/02/nigerias-grey-is-helping-users-exchange-local-currency-and-access-foreign-currencies/",
        "date": "Jun 01, 2023"
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        "title": "Nigerian fintech startup Grey picks Kenya as its East African hub - Disrupt Africa",
        "url": "https://disrupt-africa.com/2023/05/18/nigerian-fintech-startup-grey-picks-kenya-as-its-east-african-hub/",
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        "url": "https://www.techinafrica.com/grey-a-fintech-company-based-in-africa-has-successfully-completed-a-2-million-seed-round/",
        "date": "Sep 01, 2022"
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        "date": "Aug 29, 2022"
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        "url": "https://techcrunch.com/2022/02/08/nigerian-fintech-grey-finance-gets-backing-from-y-combinator/",
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        "title": "Grey - US banking services for remote workers, freelancers, nomads, and creators in emerging markets",
        "tagline": "Now available in LatAm and SEA 🚀",
        "body": "![uploaded image](/media/?type=post&id=82277&key=user_uploads/556140/a5ad7448-63b6-42a8-934d-3a149c352ec1)\n\nWhen we started Grey in 2020, we just wanted to make it easy for people like us to receive payments for work without any stress. Over the last four years, we’ve enabled global banking access to digital nomads across the US, UK, Europe, Kenya, Tanzania, Uganda, and Nigeria.\n\nToday, I’m excited to announce that Grey is now available to remote workers, digital nomads, and creatives in **Brazil** 🇧🇷, **Ghana** 🇬🇭, **Indonesia** 🇮🇩, **Mexico** 🇲🇽, the **Philippines** 🇵🇭, and **South Africa** 🇿🇦! Get started at [grey.co](http://grey.co).\n\nIn the next few weeks, we’ll roll out to more Latin America (LATAM) and Southeast Asia (SEA) countries. If you’re a digital nomad, freelancer, or remote worker in these countries, you can enjoy the following:\n\n* Get a free USD, EUR, or GBP account to receive your salary and payments.\n* Convert to other currencies (MXN, BRL, PHP, IDR, ZAR, NGN, KES, TZS, GHS, etc) and send to your local bank account or mobile money wallet.\n* Get a virtual card to spend.\n* Send Stablecoins (USDC) to your external wallet addresses.\n\nWe’re on a mission to make globalisation work for everyone by providing inclusive banking solutions regardless of location, and this expansion takes us six steps closer today.\n\nIf you know any communities we should speak to or any person in these markets we should connect to, please let us know at [founders@grey.co](mailto:founders@grey.co).\n\nCheers",
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        "full_name": "Tobi Ololade",
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    "city": "London",
    "country": "GB",
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        "linkedin_url": "https://www.linkedin.com/in/subomi-oluwalana-one/",
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        "title": "Nohooks: Webhooks for platforms without webhooks",
        "tagline": "Receive real-time notifications of events from supported apps like Notion, Render and Digital Ocean. Powered by Convoy.",
        "body": "![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/239f25e6-9726-4a95-8100-b4e04df0405e)\n\nToday, we are excited to share our new tool: [nohooks.io](http://nohooks.io). Nohooks is a service that offers webhooks functionality even on platforms that do not have native webhooks support. With Nohooks, developers can receive real-time notifications of events from the list of supported apps ([DigitalOcean](https://www.digitalocean.com/), [Notion](https://notion.so/) and [Render](https://render.com/) as of this [launch](https://getconvoy.io/blog/convoy-launch-week)).\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/c9767c6b-6fce-42dc-93d5-39b8bfdd658f)\n\nWebhooks are a way for one application to notify another application when a specific event happens. By setting up a webhook, developers can receive real-time updates whenever a user takes a specific action, such as deploying a new service or adding a new contact to your CRM. However, not all platforms support webhooks, which can be a problem for developers who need to receive real-time updates.\n\nNohooks solves this problem by acting as an intelligent polling system, that retrieves resources from the public API of these apps, determines whether there was an update and generates a webhook event depending on the type of update. It uses [Convoy](https://getconvoy.io/) to power its webhooks delivery and debugging dashboard.\n\n![uploaded image](/media/?type=post&id=72597&key=user_uploads/357104/fab69289-51b5-4756-9536-5341f7139c15)\n\nWith Nohooks, you can link multiple Render accounts and Notion workspaces and multiple destination endpoints as well. To get started, create an account here, and watch this demo video to learn how to set up your account to receive events.\n\n### **Use Cases**\n\n1. With Render webhook events, you can hook into the lifecycle of your services and service deployments to perform post-deployment actions, trigger continuous delivery pipelines etc.\n2. With Notion webhook events, you can sync any Notion Database to Airtable, Mailchimp, Intercom, or any CRM you choose. You can sync Notion Events to anything like Zapier or [Trigger.dev](http://Trigger.dev) for any kind of automation you desire.\n3. With DigitalOcean webhook events, you can into the lifecycle of your droplets to carry out post-deployment automation similar to Render. We plan to support many more resources in DigitalOcean in subsequent releases.\n\nThat’s it, friends, go and automate. We can’t wait to see what you build with this!\n\nIf you need any help or want to see us support new services, you can email us at [support@nohooks.io](mailto:support@nohooks.io) or join our [Slack Community](https://join.slack.com/t/convoy-community/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ) to ask questions.",
        "url": "https://www.ycombinator.com/launches/Isv-nohooks-webhooks-for-platforms-without-webhooks",
        "votes": 12,
        "created_at": "2023-06-28T13:40:13.909Z"
      },
      {
        "id": 65789,
        "title": "Convoy: Open Source Webhooks Proxy",
        "tagline": "Convoy is an open-source webhooks proxy that enables you to receive and publish webhook events reliably.",
        "body": "**TL;DR: Convoy provides a reliable webhooks proxy that can ingest webhooks from all your providers and replay them to your backend as well as publish webhook events from your systems to your customers.**\n\nHey YC 👋🏾\n\nI am Subomi, and I am building [Convoy](https://getconvoy.io) alongside Emmanuel.\n\n**The Problem**\\\nToday, webhooks power critical business workflows that, if broken, will have a direct impact on customers’ experience. Usually, developers spend time building reliable webhook ingestion services and reliable webhook dispatching services for API providers. This time is wasted effort that can be spent building necessary infrastructure instead of building your product. Secondly, the tooling becomes fragmented for dispatching and receiving webhook events. We are working on Convoy to solve precisely this using a consistent toolchain to receive, publish and debug webhook events.\n\n**Our Solution**\\\nEnter Convoy, a service available as an open-source project and a cloud platform. There are two types of projects in Convoy; an incoming project and an outgoing project. In an incoming project, we provide a unique URL per provider to receive events, and in an outgoing project, we provide a REST API to receive events from your services and publish them to the outside world.\n\n**How it works?**\n\nYou can see a demo [here](https://www.youtube.com/watch?v=DSIet81oBsg).\n\n**Asks**\n\n1. If you’re building an API that sends out webhooks and/or a service that relies on webhooks from third-party providers, you can get started for free by either [self-hosting](https://getconvoy.io/docs/deploy/overview) or using our [cloud platform](https://dashboard.getconvoy.io/signup).\n2. If you have vast experience running webhooks infrastructure (either incoming or outgoing), please join us on [slack](https://convoy-community.slack.com/join/shared_invite/zt-xiuuoj0m-yPp\\~ylfYMCV9s038QL0IUQ#/shared-invite/email). We’d love to learn from you!\n3. If you have further questions and would love to learn more, you can book a meeting with the [founders.](https://calendly.com/subomioluwalana/30-minute-meeting)\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/H77-convoy-open-source-webhooks-proxy",
        "votes": 36,
        "created_at": "2022-09-01T20:15:33.795Z"
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    "name": "Aklimate",
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    "website": "https://www.getaklimate.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "With Aklimate, enterprises provide their suppliers with carbon management tools for free, in exchange for their emissions data. You can imagine it as the company paying for a Watershed-lite for each of their suppliers.",
    "one_liner": "Software for enterprises to track and reduce supply chain emissions",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Inactive",
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    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
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    "url": "https://www.ycombinator.com/companies/aklimate",
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    "year_founded": 2021,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/aklimate",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 728625,
        "full_name": "Harry Humfrey",
        "title": "Founder",
        "founder_bio": "Energy & climate change nerd. Formerly at Bain & Co in the Energy & Natural Resources practice. In another life, competed for Great Britain in equestrian sport",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/harryhumfrey/",
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      },
      {
        "user_id": 729643,
        "full_name": "Mark Fischel",
        "title": "Founder",
        "founder_bio": "Heading up sales at Aklimate (YC W22). Formerly in B2B SaaS at Mastercard. Excited by democratising net zero tools to get businesses around the world playing their part in fighting climate change 🍃",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/fischelmark/",
        "x_url": "https://twitter.com/mark_fischel",
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      },
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        "user_id": 860429,
        "full_name": "Will Taylor",
        "title": "Founder/CTO",
        "founder_bio": "Startup builder, now making the productivity tools that I've always wanted in my career. Previously early eng with GitHub co-founders on their second venture.\n\nhttps://www.willgeorgetaylor.com",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/willgeorgetaylor/",
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    "id": 25724,
    "name": "Lovage",
    "slug": "lovage",
    "former_names": [
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    "website": "https://getlovage.com",
    "all_locations": "Orem, UT, USA",
    "long_description": "Lovage helps barbers and stylists fill empty appointment slots and get more clients.\r\n\r\nBeauty professionals frequently have gaps in their schedules due to cancellations, no-shows, and uneven demand. Lovage turns that unused availability into booked appointments.\r\n\r\nWe integrate with booking systems to detect open slots, generate on-brand content, and distribute it to channels like Instagram where clients can instantly book.\r\n\r\nThe result is more bookings, higher utilization, and increased revenue without relying on ads or manual marketing.",
    "one_liner": "Automatically fill empty appointment slots for beauty professionals",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1642140655,
    "tags": [
      "SaaS",
      "B2B",
      "Marketing",
      "SMB",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/lovage",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/lovage.json",
    "year_founded": 2020,
    "city": "Orem",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lovage-labs",
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    "fb_url": "https://www.facebook.com/getlovage/",
    "cb_url": "https://www.crunchbase.com/organization/lovage-labs",
    "github_url": null,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 668229,
        "full_name": "Austin Petersen",
        "title": "Founder",
        "founder_bio": "Austin Petersen is the co-founder and Chief Executive Officer of Lovage.  Austin leads Lovage in sales and product strategy initiatives.  Previously he has held positions in business development and software engineering throughout his time attending Brigham Young University in Provo, Utah.  Austin previously studied Mandarin Chinese and Mathematics at Brigham Young University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austinpetersenlovagelabs/",
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      },
      {
        "user_id": 669332,
        "full_name": "Robert Hinckley",
        "title": "Founder",
        "founder_bio": "Robert Hinckley is the co-founder and co-CTO of Lovage. Robert leads full-stack development at Lovage and builds and designs the cloud infrastructure, onboarding pipeline, dashboard, and mobile application products of Lovage’s tech stack. Previously, Robert ran a custom software consulting company with Lovage’s co-founder Alex Steffen and studied Computer Science at Brigham Young University. He grew up in Idaho and learned to speak Mandarin while volunteering with Lovage’s co-founders.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robert-hinckley/",
        "x_url": "",
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      },
      {
        "user_id": 715689,
        "full_name": "Alexander Steffen",
        "title": "Founder",
        "founder_bio": "Alexander Steffen is the co-founder and Co-CTO of Lovage Labs. Alexander leads software development and design for all of Lovage’s phone products and cloud services. Previously Alexander was studying Electrical Engineering and researching Electro-Holography at Brigham Young University in Provo, Utah. Before working at Lovage Alexander started a software consulting company with Robert Hinckley called OmniTech.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexandersteffen/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f41f580b3334e87760a89ea29bea5ec0122eed16.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Top Seed Companies: Candor, Astro, Improovy, Lovage Labs | by Nicolas von Blottnitz | Headline Asia Publication | Jul, 2022 | Medium",
        "url": "https://medium.com/headlineasia/candor-astro-improovy-lovage-labs-5th-july-2022-4b91cd212023",
        "date": "Jul 06, 2022"
      },
      {
        "title": "Lovage Labs is creating virtual receptionists- Utah Business",
        "url": "https://www.utahbusiness.com/virtual-receptionists-are-a-thing-of-the-present/",
        "date": "Mar 21, 2022"
      },
      {
        "title": "Lovage Labs accepted into Y Combinator - Utah Business",
        "url": "https://www.utahbusiness.com/lovage-labs-accepted-into-y-combinator/",
        "date": "Jan 28, 2022"
      },
      {
        "title": "Lovage Labs Accepted into Y Combinator – UTAH News",
        "url": "https://darik.news/utah/lovage-labs-accepted-into-y-combinator/202201490673.html",
        "date": "Jan 28, 2022"
      }
    ],
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  },
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    "id": 25726,
    "name": "Vendy",
    "slug": "vendy",
    "former_names": [
      "payeasy",
      "wepayeasy"
    ],
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    "website": "https://myvendy.com",
    "all_locations": "Lagos, LA, Nigeria; LA, Nigeria",
    "long_description": "Vendy is a marketplace on WhatsApp. We provide customized WhatsApp shops for sellers, allowing buyers to browse inventory, place orders with automated invoicing, and make payments, all within WhatsApp. No app download or sign-up required.",
    "one_liner": "Vendy is a marketplace on WhatsApp",
    "team_size": 20,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1646358782,
    "tags": [
      "Payments",
      "B2B",
      "E-commerce"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "Nigeria",
      "Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/vendy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/vendy.json",
    "year_founded": 2022,
    "city": "Lagos",
    "country": "NG",
    "linkedin_url": "https://linkedin.com/company/paywithvendy",
    "x_url": "https://x.com/UseVendyHQ",
    "fb_url": "https://web.facebook.com/usevendyhq/",
    "cb_url": "https://www.crunchbase.com/organization/vendy-inc",
    "github_url": null,
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      {
        "user_id": 860769,
        "full_name": "Kayode Disu",
        "title": "Founder",
        "founder_bio": "Passionate about transforming the digital payment landscape in Africa with an emphasis on mobile consumer products, I bring over 15 years of expertise in building digital security and payment solutions for leading banks and payment switches in West Africa. Beyond technology you'll find me on the basketball court or enjoying a refreshing swim.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kayode-disu-55629a17",
        "x_url": "https://www.twitter.com/mrdisu",
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  },
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    "id": 25732,
    "name": "Sprites",
    "slug": "sprites",
    "former_names": [
      "Campfire",
      "Campfire (applied AI company)"
    ],
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    "website": "https://sprites.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sprites is a proactive agent that achieves growth goals for businesses fully autonomously, starting with performance marketing. \r\n\r\nToday, Sprites manages $30M of annualized growth spend for 50+ businesses in a self-improving loop. Sprites has grown 5x this quarter with customers including Gameloft, Klarity Health, Hyperice, and leading AI labs.\r\n\r\nYou give it a growth goal and a budget - like \"Book me demoes with PMs at AI startups for up to $500 per demo\" or \"Get me trial sign ups from UGC video creators, up to $50 per sign up\". It does the work. Every week it gets better at your business.\r\n\r\nTeams use it instead of hiring an agency or a growth team.",
    "one_liner": "The proactive agent that achieves growth goals for businesses, fully…",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1645693578,
    "tags": [
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      "Marketing",
      "Advertising",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2022",
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sprites",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sprites.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sprites-ai",
    "x_url": "https://x.com/GetSprites",
    "fb_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 860228,
        "full_name": "Siamak Freydoonnejad",
        "title": "Founder",
        "founder_bio": "Cofounder of Sprites - a proactive agent that achieves growth goals for businesses fully autonomously. Today, Sprites manages $30M of annualized growth spend for 50+ businesses in a self-improving loop. Sprites has grown 5x this quarter with customers including Gameloft, Klarity Health, Hyperice, and leading AI labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/siamakf/",
        "x_url": "https://twitter.com/siamakfr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf7f46c19f6dd7b08e17d734bd32336bea4010fa.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Campfire raises $3.95M for generative AI game tool Sprites | VentureBeat",
        "url": "https://venturebeat.com/ai/campfire-raises-3-95m-for-generative-ai-game-tool-sprites/",
        "date": "Sep 12, 2024"
      }
    ],
    "launches": []
  },
  {
    "id": 25752,
    "name": "Simplifyd Systems",
    "slug": "simplifyd-systems",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66275e8e5b14cf01520f9100a1137a199d69e399.png",
    "website": "https://simplifyd.com",
    "all_locations": "London, England, United Kingdom; LA, Nigeria",
    "long_description": "Simplifyd enables businesses deliver their internet apps (websites/mobile apps) data-free, similar to toll-free telephone lines. We do this through our Zerodata app\r\n\r\nFounded in August of 2021 and based in Lagos, Nigeria and Nairobi, Kenya, Simplifyd through its Zerodata platform is a trusted marketplace for data-free internet apps. \r\n\r\nBusinesses list their internet apps (websites/mobile apps) on the Zerodata platform so end users can access them data-free!\r\n\r\nEnd users simply need to download the Zerodata app, available for both mobile and desktop, toggle on and enjoy access to listed apps data-free!\r\n\r\nWe are on a mission to make apps accessible to over ~2B people in emerging economies who simply cannot afford the costs of internet data subscriptions.\r\n\r\n\r\n",
    "one_liner": "We deliver toll-free internet apps",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1647434209,
    "tags": [
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United Kingdom",
      "Nigeria",
      "Europe",
      "Africa",
      "Remote",
      "Partly Remote"
    ],
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        "date": "Aug 30, 2023"
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        "title": "Airwork gives every Canadian the power to control their work schedule",
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      },
      {
        "id": 78549,
        "title": "Fullstack Engineer at Bemlo - Linear for healthcare scheduling (W22)",
        "url": "https://www.ycombinator.com/companies/bemlo/jobs/q1Hs2XA-fullstack-engineer-at-bemlo-linear-for-healthcare-scheduling-w22",
        "location": "Stockholm, Stockholm County, SE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90 - $160",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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          "React",
          "TypeScript"
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    ],
    "news": [
      {
        "title": "How the problem of hiring healthcare staff has become a fertile ground for startups – TechCrunch",
        "url": "https://techcrunch.com/2022/07/29/how-the-problem-of-hiring-healthcare-staff-has-become-a-fertile-ground-for-startups/",
        "date": "Jul 29, 2022"
      }
    ],
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    "id": 25827,
    "name": "Talentropy.ai",
    "slug": "talentropy-ai",
    "former_names": [
      "HoyTrabajas Inc.",
      "HoyTrabajas",
      "HoyTrabajas.com",
      "HoyTrabajas"
    ],
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    "website": "https://talentropy.ai/",
    "all_locations": "Bogotá, Bogota, Colombia; Remote",
    "long_description": "Think of us as your dedicated AI recruiting team, available 24/7 to engage with every single candidate in their preferred language. We help companies to evaluate 100% of their candidates while reducing the workload on their recruiting teams. \r\n\r\nOur technical co-founders, Rubén, Vladimir, and Sebastián, bring vast HR industry experience. HoyTrabajas is supported by Rebel Fund, Alan Rutledge, Kube Ventures, Flucas VC, Magic Fund, New Ventures, Y Combinator (w22), and more.",
    "one_liner": "AI solution that streamlines candidate screening and recruitment",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1642016773,
    "tags": [
      "SaaS",
      "B2B",
      "HR Tech",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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      "Human Resources"
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    "regions": [
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      "Latin America",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The driving force behind HoyTrabajas comes from a personal fire that's also burning in my co-founders. We saw how the traditional job boards have been a real headache for job seekers, especially those who are just starting. I know this because I've been there myself, hunting for my first job and not getting any feedback on my applications. That made me crazy at that moment. Now picture what's going down for all those people who aren't chasing professional jobs. They're probably in a rush to put food on the table for their families. And you know what? This struggle is very real for around 100 million low-skilled individuals in LATAM. People are feeling the pain of job finding. That was our motivation to be over this bote."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied four times. The first two attempts did not result in an interview. On our third attempt, we had an interview, but it did not go well. It was on our fourth attempt that we were selected.Our time at YC has been one of the most rewarding experiences of our lives. We learned about the immense value of focusing on the product. Besides, being part of a vast network, many U.S. funds now recognize us, making our fundraising journey less challenging."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We visit Silicon Valley twice a year to meet investors and other YC startup founders. We arrange meetings at a specific location with some partners. Every three months, we also schedule an office hour to discuss business progress and challenges."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "* We launched in August 2019, beginning with five people: three founders and two employees.* We connected candidates and clients through WhatsApp.* In March 2020, we secured our first B2B customers.* We raised our pre-seed funding round of 500,000 USD.* We expanded operations to the three main cities in Colombia: Bogotá, Medellín, and Cali.* We established our first version of the Job Marketplace.* In November 2021, we became part of YCombinator.* We found PMF with one of our offerings in Colombia.* In 2022, we secured a seed funding round of 5 million USD.* In 2023, we expanded our business to Mexico.* We implemented AI tools to facilitate a better experience for candidates and clients.* In Q4 of 2023, we expanded our product offerings to provide more value to our customers and increase the average annual revenue.* Currently, we have 290 clients, with Mexico accounting for over 40% of our sales. We have a team of 64 people, 70% of whom work in product development."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The Latin American job market faces challenges for both employers and job seekers, particularly in lower-skilled roles:1. **Limited Growth Opportunities:** Job seekers often find limited opportunities for skill development and career advancement, leading to professional stagnation.2. **Job Insecurity:** High turnover rates in low-skilled jobs result in job insecurity and financial instability.3. **Access to Quality Jobs:** With a hiring success rate often below 7%, job seekers struggle to find quality jobs that match their skills and preferences.4. **Lengthy Hiring Process:** An 8 to 10-day hiring process may delay employment, particularly for those urgently needing a job.5. **Career Development Support:** High turnover environments may lack training or support programs, impacting long-term employability.6. **Job Matching:** Mismatches between job seekers’ skills and employer requirements cause inefficiencies in hiring."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our goal is to become the leading platform in connecting low-skilled role-users with quality jobs, growth opportunities, and benefits. We are committed to transforming people's lives and making a positive impact on society while continually improving our services."
      }
    ],
    "url": "https://www.ycombinator.com/companies/talentropy-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/talentropy-ai.json",
    "year_founded": 2019,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://co.linkedin.com/company/hoytrabajas",
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    "cb_url": "https://www.crunchbase.com/organization/hoy-trabajas",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 347981,
        "full_name": "Ruben Cordoba",
        "title": "Founder",
        "founder_bio": "MBA, I have more than 10 years of experience in entrepreneurship. I worked in planning and fundraising for infrastructure projects. \nI have 3 years of experience in the recruiting & staffing industry. \nI´m passionate about companies, art, and activities that involve risk. I consider myself good at solving problems and motivating his team.\n",
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        "linkedin_url": "https://www.linkedin.com/in/rubencordoba/",
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    "id": 25835,
    "name": "Kular",
    "slug": "kular",
    "former_names": [
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    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c20d11e986368dc6d97c924d4d62583ec9585a01.png",
    "website": "https://www.kular.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Kular is an AI Lead Generator, generating leads for busy professionals and business owners and only charging for results. Today, Kular generates leads for over 1000 companies via email and LinkedIn. \r\n\r\nKular is being built by a team of MIT, IIT, Cambridge and Oxford grads, backed by some of the best investors in the world, including Y-Combinator, Entrepreneur First, Acequia Capital and angel investors behind companies like Ironclad, OpenSea and Stripe.",
    "one_liner": "AI Lead Generator",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1647346997,
    "tags": [
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      "Marketing",
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    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/kular",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/kular.json",
    "year_founded": 2021,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/joinkular/",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 819825,
        "full_name": "Nelson Jones",
        "title": "Founder",
        "founder_bio": "Nelson is the cofounder of Kular and an entrepreneur by background, starting his first business during his last year studying law at Oxford University. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nelson-jones-238487194/",
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    "launches": [
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        "id": 92005,
        "title": "Kular Website Visitors",
        "tagline": "Never miss a sales opportunity again; turn anonymous website traffic into high-quality leads automatically.",
        "body": "**The Problem**\n\nYou wouldn’t leave potential customers sitting in your waiting room. So why would you leave them sitting on your website?\n\n**The Solution**\n\nKular Website Visitors automatically identifies visitors to your website, researches them and, where appropriate, autonomously engages them via email. Now you can turn anonymous traffic into high-quality leads on autopilot. See the full launch video here: https://www.youtube.com/watch?v=oj1rNG2j36Y\n\n**Our Ask**\\\nSign up here to receive your first 20 visitors for free: [web.kular.ai/onboarding/website](http://web.kular.ai/onboarding/website)\n\nAfter the trial, we’re the only provider in the market to offer pay-as-you-go pricing ($0.30 per identified visitor, no minimum, no lock-in).",
        "url": "https://www.ycombinator.com/launches/Nvx-kular-website-visitors",
        "votes": 11,
        "created_at": "2025-07-09T16:59:30.867Z"
      },
      {
        "id": 90389,
        "title": "Kular AI LinkedIn Voice Notes: reach any prospect, in any language, anywhere in the world. Only pay for results!",
        "tagline": "Kular AI LinkedIn Voice Notes. Only Pay For Results.",
        "body": "**TLDR**: Kular is an AI Lead Generator, delivering qualified sales leads for over 1000 companies and only charging for results. Companies can use Kular today to send LinkedIn voice notes in a clone of their voice— to any prospect, in any language, anywhere in the world. \n\nhttps://youtu.be/WKHBjLI14bw\n\n**The problem**\\\nOutbound sales are increasingly crowded. Now more than ever, companies need to stand out from the crowd with a personal touch. This works for large enterprises, but small businesses don’t have the time or resources to meet the demands of modern outbound.\n\n**The solution**\\\nKular AI Voice Notes: you can now clone your own voice today to reach out to prospects in any language, anywhere in the world.\n\nWith just 15 seconds of set-up time and no upfront cost, you can use cutting-edge AI to generate leads and only charge for results. Kular makes it so easy that your grandparents can use AI voice at scale.\n\nOnly pay when you receive a lead ($250/lead, reduced to $150/lead for YC alumni/referrals).\n\n**Our ask**\n\nSign up here to receive a free lead: http://web.kular.ai/onboarding?utm_source=BF\n\n![uploaded image](/media/?type=post&id=90389&key=user_uploads/819825/0bc46347-0eef-4191-b7e8-790b33977326)\n\n",
        "url": "https://www.ycombinator.com/launches/NVt-kular-ai-linkedin-voice-notes-reach-any-prospect-in-any-language-anywhere-in-the-world-only-pay-for-results",
        "votes": 17,
        "created_at": "2025-05-14T13:35:18.357Z"
      },
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        "id": 89617,
        "title": "Kular - AI Lead Generator",
        "tagline": "Kular generates leads for over 1000 companies and only charges for results",
        "body": "**TLDR;** Kular is an AI Lead Generator, delivering qualified sales leads and only charging for results ($250/reply or $375/booked meeting).\n\n<https://www.youtube.com/watch?v=zDPTJJWWRkA>\n\n**The problem:** Outbound can work for everyone, but it's hard for “normal” businesses without VC money and software margins.\n\n* Every B2B business needs sales leads, and outbound sales is a very effective way to generate leads.\n* Outbound requires a lot of upfront investment in time, skills, data and infrastructure.\n* This works for VC backed software companies with money in the bank and high margins to invest in getting outbound working.\n* There are 2 million “normal” B2B businesses in the US who can’t currently access outbound as a channel.\n\n**The solution:** AI lead generator: generate sales qualified leads with the click of a button, only pay for the leads you receive.\n\n* Kular makes outbound so easy your grandparents can run outbound campaigns at scale.\n* Click 1 button in our web application, and Kular will take care of the entire process, including strategy, infrastructure and execution.\n  * Strategy: Kular will read your website to understand who you want to target, and suggest messaging to reach them.\n  * Infrastructure: Kular will set up and warm domains and mailboxes for you to send emails.\n  * Execution: Kular will find the right contacts to reach out to, get their email addresses, and email the right person at the right time.\n* Only pay when you receive a lead ($250/lead, reduced to $150/lead for YC alumni/referrals).\n\n**Our ask:**\n\n* Sign up here to receive a free lead: [**http://web.kular.ai/onboarding?utm_source=BF**](http://web.kular.ai/onboarding?utm_source=BF)\n* We’ll be posting about the highs and lows of directly correlating our revenue with the results we deliver for customers. Follow our LinkedIn page to hear more: [**https://uk.linkedin.com/company/joinkular**](https://uk.linkedin.com/company/joinkular)",
        "url": "https://www.ycombinator.com/launches/NJR-kular-ai-lead-generator",
        "votes": 16,
        "created_at": "2025-04-17T16:38:53.826Z"
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    "id": 25905,
    "name": "Bracket",
    "slug": "bracket",
    "former_names": [
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      "Inc.",
      "Palette"
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    "website": "https://www.usebracket.com/",
    "all_locations": "New York City, NY, USA; Los Angeles, CA, USA",
    "long_description": "Bracket is the two-way data pipeline between popular business tools and backend databases. When ops teams update data in Salesforce or Airtable, and engineers update data in the database, Bracket connects the two sources to reflect the same information. ",
    "one_liner": "Two-way syncs between business tools and your database",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "batch": "Winter 2022",
    "status": "Acquired",
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    "regions": [
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    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/use-bracket",
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        "full_name": "Vinesh Arun",
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        "founder_bio": "Founder @ Bracket. Formerly at Shipper (YC W19) and Oliver Wyman",
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        "full_name": "Kunal Garg",
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        "title": "Bracket - Sync Salesforce & Postgres: Heroku Connect alternative for any SaaS",
        "tagline": "Two way syncs between business tools and your database",
        "body": "**Tl;dr:** [**Bracket**](https://app.usebracket.com) syncs data bidirectionally between tools like Salesforce & databases like Postgres — think Heroku Connect between any SaaS tool and any database or warehouse. For companies that collect customer-relevant information in SaaS tools, Bracket is the simplest way for engineers to get this data in front of customers in real time.\n\n—\n\nHey everyone! We’re Vinesh, Ian, and Kunal and we’re building Bracket.\n\n![](https://lh5.googleusercontent.com/xrZwklibKE9wZuf_lyCSiei3Nt082k0IncnOuMZsmtUqwLV_JLbWEPilfCw1HJ41-GfqJg7XruoZP4cigIcN3RfnS7vKItZsqlzx8uyAMRBJs1dQItNfvU8E8f9I7qWzJZZHT1NhxwblRHAdUajPh4s)\n\n### **The problem**\n\nCompanies often need a way to manually adjust the info that a lead or customer sees - think of the sales team of a software company that wants to customize a demo environment for a high-value lead, or the ops team of a car rental company that needs to manage which cars are available for customers to book. \n\nThe job of designing, implementing, and championing a fix falls to engineering. Engineers can either build a custom UI for their teammates, or connect with the tools they already use, like Salesforce or Airtable. \n\nThere are a few problems with this:\n\n1. Custom UIs run against the grain of the tools that business teams already use and can even require double data entry on the part of those teams. This leads to low adoption. \n2. This leads most engineers to integrate with their business teams’ existing tools. However, setting up real-time two-way syncs is a highly technical challenge that can take entire quarters of implementation time.\n\nIn short, custom-built solutions lead to low adoption, and built-from-scratch integrations with business teams’ tools can take months of engineering effort.\n\n### **How we solve it**\n\n**Using two-way syncs, Bracket is the easiest way to keep data in sync between business teams’ existing tools, like Salesforce, and databases, like Postgres.** \n\nThis creates a win-win-win. Using the Salesforce <> Postgres example:\n\n* Engineering gets to build on top of Postgres and doesn’t have to deal with the Salesforce API (we do that for you). Engineering also meets business teams where they are, optimizing adoption.\n* Customer-facing business teams (e.g. Sales, CX) continue to leverage Salesforce, a familiar, highly productive tool with tons of features and a strong community, and can trust that their data is fresh.\n* Customers - seeing fresh, personalized data - get the best UX possible, increasing lead conversion and paid retention.\n\n \n\nOur new web app works with Salesforce and Postgres along with other connectors (like  Airtable, Google Sheets, MySQL and more).\n\n![](https://lh4.googleusercontent.com/plJHt6uWnEfHvqApcTBso-yoZ9penLWsS7gyG4usf8avqWinfSaNtFVRLwV4Hd7eFAcmJ-A-ueNFIgpiv33S4TlCZGBd_OyOzauJWPKPKRj3r_-PSyKQMxoqJqQ5T03cd7LPWWLlg_9DJ0marOEavuM)\n\n### **Demo:**\n\n[ ](https://www.youtube.com/watch?v=sRkaAa667T0)\n\n### **Differences from Heroku Connect?**\n\n1. **Built for your tech stack:** We support beyond just Heroku Postgres. Not only do we support any hosted Postgres, but we also have two-way syncs with other databases and warehouses.\n2. **Active Development:** Heroku Connect hasn’t been updated in years and has no new features on their official roadmap. Bracket continues to develop around the modern stack.\n3. **Uses cases across teams:** We’ve built two-way syncs for CRMs like Salesforce but also other products like Airtable, Google Sheets, and more.\n4. **Price:** We’re far cheaper than Heroku Connect, which can run north of $50k / year.\n\n### **Our ask:**\n\nIf you want to try this yourself, get started[ **here**](https://app.usebracket.com)\n\nOtherwise, if you:\n\n1. Are looking for two-way syncs between other tools and want us to build it\n2. Know any data engineers at mid-market / enterprise companies to make an intro\n3. Have any other questions, please reach out to [founders@usebracket.com](mailto:founders@usebracket.com)",
        "url": "https://www.ycombinator.com/launches/JI2-bracket-sync-salesforce-postgres-heroku-connect-alternative-for-any-saas",
        "votes": 28,
        "created_at": "2023-08-16T13:53:42.831Z"
      }
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  },
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    "id": 25924,
    "name": "Better Opinions",
    "slug": "better-opinions",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6ae65ec2d1ccb8f2c368690d2013dc58fcdf2be.png",
    "website": "https://betteropinions.in/",
    "all_locations": "Bengaluru, KA, India; Gurugram, HR, India; Remote",
    "long_description": "Better Opinions is a prediction market of India which allows users to trade their opinion on everyday topics. For example, If you think India Covid cases will decrease by 10% this week, you can trade this insight and win money if correct.\r\n\r\nOur aim is to make the app inclusive for all. The stock market unfortunately can be very technical and opaque and therefore isn’t always accessible for all. However, when we start allowing trading in categories such as cricket, politics and entertainment, not only do we make trading more relatable, but we also help improve their financial literacy.",
    "one_liner": "Prediction market of India",
    "team_size": 12,
    "industry": "Consumer",
    "subindustry": "Consumer -> Gaming",
    "launched_at": 1642667483,
    "tags": [
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      "Consumer",
      "B2B",
      "Gaming"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "Consumer",
      "Gaming"
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    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/better-opinions",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/better-opinions.json",
    "year_founded": 2021,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/better-app-india/",
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    "fb_url": "https://www.facebook.com/Betterappindia",
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    "github_url": null,
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      {
        "user_id": 902793,
        "full_name": "SAMAY JAIN",
        "title": "Founder",
        "founder_bio": "I am an IIT Kharagpur graduate who worked with Gojek as a Product Lead for over 2 years. I have a penchant for trading, and has been an active trader in the markets for over 3 years now. It was this passion for trading that I wanted to make trading more accessible, and with this in mind, Better Opinions was born.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samay-jain-1849616b/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0e6874eeb7aaf1366c60c734844e5cf7ac2ff6b.jpg"
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      {
        "user_id": 910093,
        "full_name": "Soumyajit Das",
        "title": "Founder",
        "founder_bio": "I am Co-Founder of Better Opinions. Previously I had stints with Gojek, PayTm, Meesho, Decathlon.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/soumyajit-das-71208179/",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Better Opinions Raises Funds To Add Social Media On Its Platform",
        "url": "https://inc42.com/buzz/y-combinator-backed-better-opinions-raises-funding-to-add-social-media-feature-on-its-platform/",
        "date": "Jul 25, 2022"
      },
      {
        "title": "YC-backed Better Opinions raises over $1 Mn pre-seed round",
        "url": "https://entrackr.com/2022/02/yc-backed-better-opinions-raises-pre-seed-round/",
        "date": "Mar 20, 2022"
      },
      {
        "title": "Better Opinions Funding: YC backed Better Opinions raises over $1 million in pre-seed round from Java Capital and Soma Capital - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/yc-backed-better-opinions-raises-over-1-million-in-pre-seed-round-from-java-capital-and-soma-capital/articleshow/89476868.cms",
        "date": "Feb 14, 2022"
      },
      {
        "title": "Event trading platform Better Opinions raises over $1 million pre-seed funding - The Hindu BusinessLine",
        "url": "https://www.thehindubusinessline.com/companies/event-trading-platform-better-opinions-raises-over-1-million-pre-seed-funding/article65001452.ece",
        "date": "Feb 11, 2022"
      },
      {
        "title": "Better Opinions Funding: YC backed Better Opinions raises over $1 million in pre-seed round from Java Capital and Soma Capital - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/yc-backed-better-opinions-raises-over-1-million-in-pre-seed-round-from-java-capital-and-soma-capital/articleshow/89476868.cms",
        "date": "Feb 10, 2022"
      }
    ],
    "launches": [
      {
        "id": 70970,
        "title": "🚀 Better Opinions: Prediction market of India",
        "tagline": "We are a Prediction Market for India which allows users to trade their opinions on everyday topics.",
        "body": "### **TL;DR**\n\nIf you have an insight on the current trends and interesting in trading then we have an asset for you. For example, if you believe that `Mr beast` new video will reach 10Mn views you can trade your insight and make money if you are correct.\n\n### **Problem & The Solution**\n\n![uploaded image](/media/?type=post&id=70970&key=user_uploads/902793/b6924985-68a0-4997-92d5-b06c818210a5)\n\n### **Progress**\n\n![uploaded image](/media/?type=post&id=70970&key=user_uploads/902793/28698676-04b3-49a8-a14a-2fc7c0cadd92)\n\n* GMV: $25Mn Annualised GMV run rate, Growing 30% MOM\n* Revenue: \\~$0.4Mn Annualised, Growing 30% MOM\n* Users: 1.8Mn signups, 250K MAU\n* CM1= +0.2% , Cm2 : -0.8% \n* M1 GMV Retention= 110% ; M1 User Retention = 40%\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=70970&key=user_uploads/902793/7636677b-0c4e-40fa-85c6-4769a3e55f76)\n\n**Our Ask**\n\n* Check [Better Opinions](https://www.betteropinions.in/) out! Schedule a chat with us [here](https://calendly.com/samay-2/30min).\n* If you are an expert/investor in the field of skill based gaming, creator economy or gaming/gambling please reach out [here](https://calendly.com/samay-2/30min).",
        "url": "https://www.ycombinator.com/launches/ISg-better-opinions-prediction-market-of-india",
        "votes": 42,
        "created_at": "2023-04-14T13:59:20.387Z"
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    "id": 25928,
    "name": "Attain",
    "slug": "attain",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49382467e2a565f576c3b472c767c5c5095a0c0b.png",
    "website": "https://joinattain.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Attain is a one-stop shop for convenience store owners to buy inventory across all their suppliers with higher reliability, price transparency, and product discovery.\r\n\r\nOn average, store owners buy products from over 10-15 different suppliers each week. This painful process involves shopping in massive warehouses or spending hours working with wholesaler’s sales representatives (who sometimes don’t even show up). As a result, stores waste countless hours ordering products through extremely inefficient and tedious processes. These store owners are also severely impacted by inventory shortages and revenue loss which many times results in them downsizing their business or shutting them down completely.\r\n\r\nAttain solves this problem by providing a single app to purchase products across all of their suppliers, resulting in a one-stop shop for inventory. By aggregating inventory across a multitude of suppliers and wholesalers, Attain helps stores save significant time and money while allowing them to focus on what they do best - growing their businesses.\r\n\r\nFeel free to reach out at founders@joinattain.com!",
    "one_liner": "One-Stop Shop for Convenience Store Inventory",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1647449221,
    "tags": [
      "Marketplace",
      "SaaS",
      "B2B",
      "Supply Chain",
      "Food Tech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/attain",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/attain.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/aamirhudda/",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49382467e2a565f576c3b472c767c5c5095a0c0b.png",
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        "user_id": 559293,
        "full_name": "Aamir Hudda",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Attain\nEx-Product @ Meta, eBay\nComputer Science & Business @ Berkeley\nPassionate sneakerhead and traveler",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aamirhudda",
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        "user_id": 537857,
        "full_name": "Joseph Yeh",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO of Attain\nEx-Engineering at Amazon, Shell, Soma, 3x YC Companies\nCompute Science & Math @ Berkeley\nHobbies: Working out + poker",
        "is_active": true,
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/attain/jobs/338TqFo-founding-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "id": 25929,
    "name": "Quan",
    "slug": "quan",
    "former_names": [],
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    "website": "https://www.quanwellbeing.com/",
    "all_locations": "The Hague, ZH, Netherlands; Remote",
    "long_description": "We provide a self-assessment which identifies the underlying causes of poor wellbeing and match proven solutions for individuals and teams.\r\n\r\nhttps://www.quanwellbeing.com/",
    "one_liner": "End-to-end platform to improve wellbeing and team performance. ",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1643311003,
    "tags": [
      "Mental Health Tech",
      "SaaS",
      "B2B",
      "HR Tech",
      "Subscriptions"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Acquired",
    "industries": [
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      "Human Resources"
    ],
    "regions": [
      "Netherlands",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/quan",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/quan.json",
    "year_founded": 2020,
    "city": "The Hague",
    "country": "NL",
    "linkedin_url": "https://www.linkedin.com/company/quan-wellbeing/",
    "x_url": "https://twitter.com/quanwellbeing",
    "fb_url": "https://www.facebook.com/quanwellbeing",
    "cb_url": "https://www.crunchbase.com/organization/quan",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3573ed35730b92a5b04a47f7fa6fb74e053a4a4.png",
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      {
        "user_id": 836645,
        "full_name": "Arosha Brouwer",
        "title": "Founder",
        "founder_bio": "Ex-strategy consultant and industry executive with 15 years experience in digitization and team performance improvement. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aroshabrouwer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0dff504755ad4596c8a7ec447de1f4924f2e74a8.jpg"
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      {
        "user_id": 827584,
        "full_name": "Lucy Howie",
        "title": "Founder",
        "founder_bio": "Former tech startup CEO in the innovation space, which through to successful exit. Executive at a German unicorn building algorithmic products for consumers + brands.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucyhowie/",
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    "jobs": [],
    "news": [
      {
        "title": "Demo day: how to deliver a winning pitch to investors | Sifted",
        "url": "https://sifted.eu/articles/demo-day-deliver-a-winning-pitch-to-investors/",
        "date": "Aug 07, 2022"
      },
      {
        "title": "Bynder Prioritizes Employee Mental Wellbeing through Collaboration with Quan",
        "url": "https://www.bynder.com/en/press-media/bynder-prioritizes-employee-mental-wellbeing-through-collaboration-with-quan/",
        "date": "Mar 25, 2022"
      },
      {
        "title": "The List: Europe's hottest seed funding in Europe | Sifted",
        "url": "https://sifted.eu/articles/january-seed-funding-rounds-europe/",
        "date": "Feb 01, 2022"
      },
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        "title": "Quan backed by YC to build employee well-being software",
        "url": "https://siliconcanals.com/news/startups/quan-yc-backing-employee-well-being/",
        "date": "Jan 28, 2022"
      },
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        "title": "Quan raises $1.15M from YC to tackle post-pandemic employee burnout – TechCrunch",
        "url": "https://techcrunch.com/2022/01/27/quan-raises-1-15m-from-yc-to-tackle-post-pandemic-employee-burnout/?",
        "date": "Jan 27, 2022"
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    ],
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    "id": 25930,
    "name": "SNAB",
    "slug": "snab",
    "former_names": [],
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    "website": "https://www.snabfinance.com/",
    "all_locations": "Madrid, Community of Madrid, Spain; Remote",
    "long_description": "Snab aims to automate & centralize access and management of global banking for complex business groups with multiple subsidiaries, and digitize their access to financial services.",
    "one_liner": "A global finance automation platform for complex multi-entity…",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1648105204,
    "tags": [
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    "nonprofit": false,
    "batch": "Winter 2022",
    "status": "Active",
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      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/snab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/snab.json",
    "year_founded": 2021,
    "city": "Madrid",
    "country": "ES",
    "linkedin_url": "https://www.linkedin.com/in/gorkaguirreh/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 436247,
        "full_name": "Gorka Aguirre",
        "title": "Founder",
        "founder_bio": "Gorka Aguirre (CEO), has 6 years of experience doing Private Equity in New York, at a company that grew from almost zero to more than $2BN AUM during his period at the firm. Gorka's experience at different roles at the company includes 3 years supervising treasury of portfolio companies, becoming the root cause of starting Snab after suffering a continous inneficient business banking & B2B payments experience. Gorka holds two degrees in law and business administration and a masters in finance",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gorkaguirreh/",
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        "is_active": true,
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        "url": "https://www.ycombinator.com/companies/topship/jobs/G7o60Kg-product-operations-manager",
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        "url": "https://www.ycombinator.com/companies/propelauth/jobs/gHlDUgm-fullstack-engineer",
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        "title": "User Insights by PropelAuth: Don’t just acquire your users - understand them",
        "tagline": "PropelAuth makes it easy for B2B companies to start onboarding users quickly",
        "body": "Hi all! We’re the team at PropelAuth and we’re really excited today to launch User Insights!\n\n### What is PropelAuth?\n\n[PropelAuth](https://www.propelauth.com/?utm_source=launchyc) makes it easy for B2B companies to start onboarding users quickly. A [simple integration](https://docs.propelauth.com/getting-started/quickstart-fe) gets you everything you need, from signup and login pages to 2FA to invitation flows to Enterprise SSO.\n\nIn addition to that (as you’ll see in this launch), our goal is to also help you grow your business. We understand that building a product/company is incredibly challenging and we want to take as much off your plate as possible.\n\n.\n\n### What problem is User Insights solving?\n\nWhen we first started out a few years ago, all of our customers were other early stage startups.\n\nAs an early stage startup, the first thing you want to do is just get your product live immediately - get your MVP in front of users, get feedback, and hear if you are headed in the right direction or not.\n\nOur role there is pretty straightforward - we need to provide the simplest authentication story possible to help our customers get in front of their users.\n\nHowever, as our customers have grown in both number of MAUs and headcount, we’ve realized that they all tend to shift from “the most important thing is getting in front of people” to “how can we pour fuel on this fire?”\n\nPut differently, it’s not enough to simply get users signed up - you need to know more about them.\n\n.\n\n### What is User Insights?\n\nWith User Insights by PropelAuth, you can quickly get an understanding of:\n\n* Who your power users are\n* Which users and organizations are at risk for churn\n* Where your users are coming from\n* Which of your organizations are growing\n\n.\n\n### 💪 Identifying Power Users\n\nForming relationships with your power users is key to growth. They’re potential advocates, potential logos for your marketing site, and will likely have the best feedback for you about your product experience. Plus… they’re the most willing to pay if they’re not already!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/dc0abe3f-a561-4f33-9e50-aae735e8698b)\n\nIf you’re curious about an individual users usage, we also provide a visualization on their user page, like this user who clearly is a big fan:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/fd4cd0e9-606d-4347-ae5a-3db7277cdc90)\n\nOr this user… who you might want to check in with:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/73f6b3fa-144f-4936-91b5-d75a2d90ea15)\n\n.\n\n### ⚠️ Proactively identifying Churn Risk\n\nSpeaking of proactively checking in with customers, we wanted to make that easier as well.\n\nWhile it’s exciting to see your user count go up, that’s not the end of the work you have to do: you also have to make sure to retain as many of those users as possible.\n\nWith our Churn reports, you can easily see which of your users and organizations haven’t been active in your product for awhile:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a61c595f-f9ed-4e7e-ab71-0d7fe00d1cd9)\n\nWe also provide re-engagement reports so you can see how your efforts are going to get these users back into your product.\n\n.\n\n### 🔍 Understanding where users came from\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/04f77928-72fa-42eb-a877-d66af61e2821)\n\nUnderstanding where your users are coming from is the easiest way to make sure your marketing efforts aren’t going to waste. Now, any URL query parameters that users have on sign up will be stored. You’ll be able to get both an aggregate report (see above) or take a look at a specific user’s profile page:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/3fcb54a2-6c4d-4a72-a7bc-6ba6afb2a3d6)\n\n.\n\n### 📈 See how quickly your customers are expanding\n\nOne of the most exciting moments for any B2B company is watching one of your customers onboard more employees to your product.\n\nAnd keeping an eye on which of your organizations are growing quickly can make it easy to target efforts around upselling. The Organization Growth report lets you see that at a glance:\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/1f730d81-6c2c-40d8-83b5-5288eda8a207)\n\nYou can also quickly see which of your users is responsible for growth with the Top Inviters report. We recommend keeping in touch with these users - they’re your biggest advocates!\n\n![uploaded image](/media/?type=post&id=77445&key=user_uploads/609048/a86b1605-0100-43f4-b58b-5c58479162aa)\n\n.\n\n### And more…\n\nThere are also more reports to discover, charts to visualize how you are doing, and stats to see how this month compares to previous months. We’re also working on a few integrations so you can sync this data to your own analytics platform for even deeper analysis.\n\n.\n\n### Our asks\n\n* Ready to set up your B2B auth flow and gain a better understanding of your users? [Sign up for PropelAuth here.](https://www.propelauth.com/?utm_source=launchyc)\n* Want to keep up to date with our product updates? Follow us on [LinkedIn](https://www.linkedin.com/company/propelauth) or [Twitter](https://twitter.com/PropelAuth)!\n* Have an idea/request for something that you didn’t see above? Send us an email at [support@propelauth.com](mailto:support@propelauth.com)\n\nThanks,\n\nThe PropelAuth Team",
        "url": "https://www.ycombinator.com/launches/K97-user-insights-by-propelauth-don-t-just-acquire-your-users-understand-them",
        "votes": 20,
        "created_at": "2024-01-11T18:56:39.083Z"
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    "long_description": "Unsaddl enables employers to offer education benefits (student loan and 529 plan contributions and tuition reimbursement) and leave of absence management",
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    "id": 25984,
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        "full_name": "Aaron Tran",
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        "founder_bio": "Founder of Workflow86, an AI-first workflow automation platform where AI handles the entire process of designing, building, and editing your internal business processes and operations.",
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        "linkedin_url": "https://www.linkedin.com/in/%F0%9F%94%80-aaron-tran-847b2358/",
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        "title": "How a self-taught coder built a no-code tool to simplify business ops | Makerpad",
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        "date": "Jan 21, 2022"
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        "id": 91547,
        "title": "Workflow86: AI that automates any workflow/business process in minutes",
        "tagline": "Automate any workflow/business process by describing it in natural language",
        "body": "**TL;DR:** Workflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI, integrations, and more. \n\nhttps://www.loom.com/share/87e8ea3ad34b425dab8bdfaf31da7f1c?sid=27762eb9-43d8-44a5-8daf-5a1d6ce4e51f\n\n# **The Problem**\n\nEvery business has mission-critical processes that eat up hours of manual work: employee onboarding, contract approvals, lead qualification, vendor management. You know automation could help, but it faces three major issues:\n\n1. **Existing business systems are rigid,** and systems of record like CRMs and ERPs make customization frustrating, complex, and expensive, often requiring external consultants or their own dedicated developers \n2. **No-code tools still have a significant learning curve,** and teams still spend weeks figuring out how to configure and build custom workflows properly before they can deliver value\n3. **Pure no-code solutions struggle to handle edge cases** or highly custom business logic, requiring complex and clunky workarounds.\n4. **Existing tools struggle to fully capture real-world business processes,** which involve complex processes that require a mixture of automation and human-in-the-loop, involve multiple teams and stakeholders, and extend across days, weeks, or even months.\n\n   \n\n## **Our Solution**\n\nWorkflow86 is an AI workflow engineer that takes natural language descriptions of business processes and automatically creates fully configured automations with forms, tasks, AI steps, integrations, and more. \n\n### **Design and deploy automations in minutes**\n\nThis allows anyone to build and deploy custom business processes and workflow automations by chatting to their own on-demand workflow automation expert. \n\n1. **Describe your process** in natural language or even upload an image, flowchart, or process diagram\n2. **AI asks clarifying questions** and develops an implementation plan just like a business analyst would\n3. **AI builds and implements everything** using a combination of forms, human-in-the-loop tasks, database queries, AI steps, API integrations, and even custom JavaScript/Python code\n4. **Deploy immediately** or iterate. You can manually edit the workflow yourself or with more AI assistance\n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/594b669e-574d-4954-a739-3b809de40c01)\n\n### **Combining the best of code and no-code, AI and human-in-the-loop**\n\nWorkflow86 goes beyond just connecting different apps together and builds end-to-end workflows with a range of nodes designed to handle the most complex real-workflow business processes and use cases. \n\n**Visually model complex business processes** and workflows end-to-end in one place via an intuitive visual flow interface with notes, descriptions, and AI explanations to keep everything up-to-date and easy to understand. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/86e66142-9d21-49b4-be71-e8fc1475c132)\n\n**Run custom code** nodes to provide the power and flexibility of code to handle edge cases and complex, or highly customized steps. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/410c36be-1f4a-4668-aced-8181193ca9a8)\n\n**Create AI-powered workflows** with AI nodes that use the latest LLMs to perform tasks inside of their workflow, including summarizing content, extracting values, searching the web, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/ecf9b065-7f6a-4a7e-87b1-63eab31c1875)\n\n**Built-in forms and human-in-the-loop** tasks keep everything in check for workflows requiring human review, approvals, and more. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/54f85e87-704b-4b49-bfda-3c58bb26755d)\n\n**Integration nodes to seamlessly connect** to your existing systems and apps, allowing workflows to be triggered from your existing systems and apps (like your CRM, ticketing, email, and HR systems), and to trigger actions and events in these apps as well. \n\n![uploaded image](/media/?type=post&id=91547&key=user_uploads/854439/755a1ce8-00c1-48e4-8881-a1f8fd60ef62)\n\n### Use cases and examples\n\nHere are some real-world examples you can try:\n\n> Create an employee onboarding workflow that sends welcome emails, creates IT tickets for equipment, schedules meetings with the team, and tracks completion of training modules\n\n> Build a contract approval process that routes based on contract value, requires legal review for contracts over $50k, collects digital signatures, and notifies stakeholders\n\n> I need a lead scoring system that enriches leads from our website, scores them based on company size and engagement, assigns to sales reps by territory, and creates follow-up tasks\n\n> Set up a customer refund process that validates the order, checks refund eligibility, gets manager approval for amounts over $500, processes the refund, and updates our CRM\n\n> Create an expense approval workflow where employees submit receipts, AI categorizes expenses, routes to managers based on amount, and syncs approved expenses to QuickBooks\n\n## Try it today\n\nVisit[ workflow86.com](http://workflow86.com) to start for free. Type in a workflow or business process you want to automate and click generate to see our AI in action.\n\nHave a complex workflow in mind? Book a demo and we'll build it with you live.",
        "url": "https://www.ycombinator.com/launches/NoZ-workflow86-ai-that-automates-any-workflow-business-process-in-minutes",
        "votes": 9,
        "created_at": "2025-06-23T16:31:34.593Z"
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    "name": "Kenobi",
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    "website": "https://kenobi.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Kenobi is personalizing the internet. Your marketing site is your front desk to the internet, but its content has to be applicable to all of your ICPs and potential visitors, usually resulting in fragmented and blunt brochure content.\r\n\r\nKenobi acts as your concierge, ensuring each of your visitors receives content that is tailored to _them_ so that they actually convert and progress along your sales journey. You can install Kenobi with one `<head />` tag in your site's markup -- everything else is taken care of using our AI research + content generation pipeline.",
    "one_liner": "Personalize your landing site for each vistor, in one line of code.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1639755149,
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    "url": "https://www.ycombinator.com/companies/kenobi",
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    "year_founded": 2020,
    "city": "London",
    "country": "GB",
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        "full_name": "Christopher Mjelde",
        "title": "Founder",
        "founder_bio": "Personalizing the internet @ Kenobi. Pivoted into Kenobi from Verdn (W22), an environmental pledging platform. BSc business management from KCL. ",
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        "full_name": "Rory McMeekin",
        "title": "Founder",
        "founder_bio": "Full-stack web developer and designer. I like hacking on web apps, drawing, painting, making music (preferably on a computer!).\n\nI'm most interested in the intersection between art, design, and technology.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/roryjm/",
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        "id": 96117,
        "title": "Kenobi - Personalize your website to every visitor",
        "tagline": "Each web visitor is different. Let your site speak uniquely to each one.",
        "body": "Hi all, we are [Chris](https://www.linkedin.com/in/chrismjelde/) and [Rory](https://www.linkedin.com/in/rorz/), founders of [Kenobi](https://kenobi.ai).\n\n**TL;DR:** _Kenobi is a small widget that asks your website visitors what company they’re from. For those that opt in, the whole page changes in about 3 seconds, making the page hyper-relevant to them._\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/12072fa5-f903-4e42-88b2-5505250f9c5b)\n\n### Problem\n\n98% of web traffic does _not_ convert.\n\nThat’s because your website looks the same to everyone: a startup founder and the CFO of a Fortune 500 company get the exact same experience when they land on your site. When you have to speak to everyone, you end up speaking to no-one.\n\n### Solution: Kenobi\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/a085a931-7365-4611-ac7e-e9f801324423)\n\nKenobi appears on your website as a small widget (we call it a ‘cue card’), prompting site visitors to share what company they’re from.\n\nWhen a cue card is submitted, our agent collects context on the visitor, marries it up against the deep research its done on the host domain, and swaps the content on the page to make it hyper-personalized and unique, all in 2-3 seconds.\n\n### The value\n\nThe value of Kenobi is two-fold:\n\n1. Web visitors that opt-in for a personalized experience engage **3x longer** and convert **2x better** than the average visitor\n2. All cue card submissions are sent to you in Slack (much like a deanonymization tool like RB2B, or Vector), so that you can enrich the leads and outbound them\n\n![uploaded image](/media/?type=post&id=96117&key=user_uploads/410689/3e972baa-67ec-40bb-9dbd-51044fa7a551)\n\n### Demo video\n\nhttps://www.loom.com/share/d3145c167cb84172a6dc242ef8e93109\n\n### How we got here\n\nWe were building Verdn, a donation software, for 4+ years. We pivoted into building Kenobi in May, and for the last few months we’ve been working with sales teams to generate customized landing pages for outbound campaigns.\n\nDuring all that time, our #1 feature request has been to cater for inbound web traffic. After tens of thousands of web page variations, we feel like our model is finally good and fast enough to tackle _inbound_ personalization.\n\n### Try it\n\nGo to [kenobi.ai/start](http://kenobi.ai/start) and see in 30 seconds how YOUR page can be personalized to any visitor. If you like how it looks, sign up for our free plan, no CC required.",
        "url": "https://www.ycombinator.com/launches/P0H-kenobi-personalize-your-website-to-every-visitor",
        "votes": 158,
        "created_at": "2025-12-10T19:24:06.229Z"
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    "id": 26066,
    "name": "Query Vary",
    "slug": "query-vary",
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    "website": "https://queryvary.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Query Vary is a no-code tool for building LLM-powered automation. \r\n\r\nExample use cases include extracting information from a sales call transcript and piping it into a CRM, creating a Slack bot trained on product documentation, or transforming Google forms into fully formatted reports.\r\n\r\nInput Software --> LLM --> Output Software\r\n\r\nOur extensive toolset to make each workflow reliable sets Query Vary apart. \r\n\r\nBook a demo:\r\nhttps://calendar.app.google/6oxEvZA2k4kK6dBa8",
    "one_liner": "No-Code LLM Application / Workflow Builder",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1644001179,
    "tags": [
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      "Developer Tools",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/query-vary",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/query-vary.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/96061039",
    "x_url": "https://twitter.com/queryvary",
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        "user_id": 867073,
        "full_name": "Walter Pintor",
        "title": "Founder",
        "founder_bio": "Walter is the CTO and co-founder of Query Vary, a startup specializing in prompt design, testing, and refinement tools, with a focus on reliability, latency reduction, and cost optimization. Prior to this, he founded Syncware, a warehouse optimization software tool. He similarly worked automating complex systems and products during his time at the largest research institute in Singapore. His background is in aerospace engineering and mechatronics.",
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        "linkedin_url": "https://www.linkedin.com/in/walter-pintor/",
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    "id": 26067,
    "name": "Trusty",
    "slug": "trusty",
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    "website": "https://trustyhomes.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Trusty is an agent-to-agent matchmaking network that searches every home, regardless of whether it's on the market. This means fresh inventory for buyers, private offers for homeowners, and happy real estate agents.",
    "one_liner": "Limitless Real Estate",
    "team_size": 6,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1646962404,
    "tags": [
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      "Consumer",
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      "Proptech"
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    "url": "https://www.ycombinator.com/companies/trusty",
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    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
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    "fb_url": "https://www.facebook.com/trustyco/",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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        "user_id": 314809,
        "full_name": "Tim Hyer",
        "title": "Founder",
        "founder_bio": "Tim has a Design degree from Duke and raised over $10M for his last startup. He lives just north of San Francisco where he enjoys exploring the trails of Marin with his wife, four kids, and dog, Stella.",
        "is_active": true,
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        "user_id": 865848,
        "full_name": "Nicholas Meyers",
        "title": "Founder",
        "founder_bio": "Co-founder & CTO @Trusty, \nSoftware Engineer - 20+ years,\nProduct Builder,\nTeam Builder,\nFormer Genentech, Charles Schwab",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nicholasmeyers/",
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    "id": 26073,
    "name": "Dealls – Jobs & Mentoring",
    "slug": "dealls-jobs-and-mentoring",
    "former_names": [
      "SejutaCita (cc: A Million Dreams in Indonesian)",
      "SejutaCita",
      "UseDeall",
      "SejutaCita",
      "Deall SejutaCita",
      "Deall! SejutaCita",
      "Deall SejutaCita",
      "Deall Jobs"
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    "website": "https://dealls.com",
    "all_locations": "Jakarta, Jakarta, Indonesia",
    "long_description": "Dealls offers a curated selection of job vacancies for individuals pre-screened and curated by our team. By partnering with us, 5000+ companies have saved time and money by receiving only eligible and top candidates. Job seekers love Dealls because they can apply to multiple top companies with a single click and receive responses 21X faster than with other platforms.",
    "one_liner": "Indonesia's #1 ATS & Job Portal to match top talents & companies",
    "team_size": 127,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1647714434,
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      "B2B",
      "Recruiting",
      "HR Tech"
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      "Southeast Asia",
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      "Partly Remote"
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dealls-jobs-and-mentoring",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/dealls-jobs-and-mentoring.json",
    "year_founded": 2020,
    "city": "Jakarta",
    "country": "ID",
    "linkedin_url": "https://www.linkedin.com/company/dealls",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 534258,
        "full_name": "Andhika Sudarman",
        "title": "Founder",
        "founder_bio": "Andhika is one of the 24 people who ever attended Harvard Law School from Indonesia, and is the first-ever from South East Asia to have delivered a commencement speech. In just 14 months, he built SejutaCita, a community of ambitious local and international graduates that generated over $300K in annual revenue and achieved profitability with more than 1.4M QAU. SejutaCita also won the Best App of 2021 award in the Indonesia category on Google Play.",
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        "linkedin_url": "https://www.linkedin.com/in/andhikasudarman/",
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      {
        "title": "Ambisi Platform Deall Sejuta Cita Bantu Perusahaan Kurasi Talenta Terbaik | DailySocial.id",
        "url": "https://dailysocial.id/post/ambisi-platform-deall-sejuta-cita-bantu-perusahaan-kurasi-talenta-terbaik",
        "date": "Nov 09, 2022"
      },
      {
        "title": "Gandeng Menteri Nadiem, CEO Deall Jobs Andhika Sudarman Gelar \"Mentoring 1-on-1\"",
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        "title": "Meet the Technology Entrepreneur and CEO, Arnav Bathla - TechBullion",
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        "title": "Meet The 21-Year-Old Dropout Turned Web3 Founder - And Raised $3.2 Million In 6 Months",
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      "Southeast Asia",
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    "url": "https://www.ycombinator.com/companies/banabo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/banabo.json",
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        "full_name": "Colin Snyder",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Banabo, the first fully cookieless marketing attribution platform.\nFeel free to say hi",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "HyperDX assists engineers in resolving production bugs more quickly with simple workflows that take you from alert to resolution. You can get set up in a matter of minutes and correlate debug telemetry all in one place, including logs, metrics, traces, and browser session replays, allowing you to resolve issues faster than ever before.\r\n\r\nHyperDX is open source and built on top of Clickhouse and S3, so customers can enjoy ten times the savings when compared to traditional vendors like Datadog.",
    "one_liner": "Open-source, dev-friendly observability.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/hyperdx",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Michael Shi",
        "title": "Founder",
        "founder_bio": "Currently building HyperDX (acq'd ClickHouse)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mikeshi42/",
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        "user_id": 346706,
        "full_name": "Warren Lee",
        "title": "Founder",
        "founder_bio": "Previously built a profitable company from 0 to millions ARR",
        "is_active": true,
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        "date": "Mar 13, 2025"
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    "id": 26660,
    "name": "Chordio",
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    "all_locations": "Issaquah, WA, USA; Remote",
    "long_description": "Designers and product managers are often locked out of prototyping on top of their existing product. Security policies, large code base, and complex build setup all stand between the promise of code-first front-end design and reality.\r\n\r\nThe Chordio Workbench helps non-technical team members prototype new experiences on top of their existing products even when they don’t have access to the source code.\r\n\r\nThe full workflow runs in Claude Code on your local machine. It starts with cloning the front-end of the product into the workbench repository directly from the browser and compiling it into code a coding agent can work with. This means anyone can start prototyping in minutes without having to worry about a complex environment setup.\r\n\r\nThe Workbench includes agent skills to help ensure prototypes meet team standards, are backed by research, and presented to stakeholders with clarity.",
    "one_liner": "Claude Code design workspace built for product teams",
    "team_size": 4,
    "industry": "B2B",
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        "full_name": "Ehud Halberstam",
        "title": "Founder/CEO",
        "founder_bio": "I'm the co-founder and CEO of Chordio. From 2014-2017 I was a co-founder and CEO of Brand.ai, where we built a platform that solved problems of design at scale at the enterprise. \nIn 2015 Brand.ai participated in the Techstars accelerator and raised financing from amazing investors. It was acquired by InVision in 2017. \nFrom 2017-2022 I helped build Brand.ai into InVision DSM, InVision's second commercial product.",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/halberstam",
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        "full_name": "Amit Bar",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO - Chordio.\n\nPreviously co-founded Brand.ai - a platform for design system management. Sold to InVision in 2017, and stayed on as an engineering manager and director of engineering. Continued to scale and evolve the product into InVision's DSM (Design System Manager).\n\nMoved on in 2022 to lean into the project management space, where I see many familiar patterns and challenges waiting to be solved.",
        "is_active": true,
        "linkedin_url": "https://il.linkedin.com/in/amithalb",
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      {
        "id": 96377,
        "title": "Design Rails: Generate an agent-ready brand identity in minutes",
        "tagline": "Chat with an AI Creative Director to craft a complete brand from logos to voice & tone. Export as a design system your coding agents use to build consistent, on-brand interfaces.",
        "body": "Hey everyone, Ehud here, CEO of Chordio, the company behind Design Rails.\n\nOver the last year, like everyone else, we've been building products with Claude, Cursor, and other coding agents. We wanted to ship a number of products rapidly to see what resonates most with customers.\n\nWe hit two separate problems:\n\n**Problem 1: The UI looked polished at first glance, but \"wrong\" in ways we couldn't unsee**\n\nThis went beyond the “purple gradient syndrome”. The agent would invent new components with inconsistent styles. It added static labels that looked like buttons. It embellished non-interactive cards with confusing hover states. It used emojis instead of elegant icons. Random choices everywhere.\n\n**Problem 2: We lacked a cohesive brand**\n\nWe were ready to launch a new product experiment within a week. The product worked, but it still felt like a prototype. We worried a “weekend project” look would distort our launch metrics and push us to the wrong conclusions. But we also were not willing to sink thousands of $ into branding before knowing anyone cared.\n\nAs ex-founders of Brand.ai (acquired by InVision), we believed there was a better way. Here’s what we built.\n\n**The solution**\n\nDesign Rails helps you craft your brand through chat, then export structured files your AI agent would use to stay on brand and generate polished UI.\n\nIn under 20 minutes, you get a design-context.zip package that includes a markdown spec, and design-tokens.json that specify:\n\n* Color palette\n* Typography system\n* Component guidelines\n* Voice & tone guide\n\nPlus\n\n* Logo assets in SVG and PNG with light & dark versions.\n\nIt works for new or existing products:\n\nYou drop the files into **/design-context** in your codebase, and tell your agent to\n\n```\nRead design-context/agent-instructions.md and create an integration plan for implementing this design system in our codebase.\n```\n\nThe agent will update your styles, move logos, configure components, and update your LLM instructions ([CLAUDE.md](http://claude.md/), .cursorrules, etc.) to reference the new design system.\n\nWe built this for AI builders who want to ship fast, iterate fast, and have their design look cohesive from day one.\n\nAlso, we’re trying something new (we’ll see how it goes!) - Outcome-based pricing. No token credits. No vendor lock-in. Use Design Rails for free, and only pay to download if you’re happy with the result.\n\nWould love your feedback, questions, and use cases you want us to support next.\n\nThanks for checking out Design Rails!\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/204826ee-b53a-44f3-897f-f9947699012d)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/7c5faacb-d99e-4a2f-bdff-45bb8586ba01)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/42b6af05-017a-4fba-bf7d-ba6af209ee58)\n\n![uploaded image](/media/?type=post&id=96377&key=user_uploads/1010497/df99fc11-2fe6-440b-b00d-c353337ea564)\n\nSee it in action: https://youtu.be/TZ3gPYrCLUQ \\[2:19 mins\\]",
        "url": "https://www.ycombinator.com/launches/P4T-design-rails-generate-an-agent-ready-brand-identity-in-minutes",
        "votes": 14,
        "created_at": "2025-12-27T15:41:38.795Z"
      },
      {
        "id": 95564,
        "title": "Design Rails: Give your coding agent its own product design team",
        "tagline": "Ship better UX faster with specialized design agents",
        "body": "Hi everyone! We're excited to introduce a set of specialized AI agents that give your coding agent the design expertise it’s missing.\n\n# **Problem**\n\nYou ask Claude or Cursor to build a feature, and you get working code in 2 minutes, but you're stuck with prototype-level design:\n\n* **Visual glitches**: misaligned cards, text bleeding outside containers, buttons cut off\n* **Generic \"AI-feel\" style**: yet another purple gradient that doesn't fit your brand\n* **Flawed UX**: ignored existing navigation pattern, unlabeled icon buttons, missing loading states\n\nYou end up iterating for hours to reach production quality, if you get there at all.\n\n# **Solution**\n\nDesign Rails is an MCP server that connects to AI coding agents (Claude, Codex, Cursor, …) and unlocks production-ready design through three key capabilities:\n\n**1. Design foundation setup** - Design Rails first establishes a strong design foundation to understand your product like a senior designer would:\n\n* Brand & Design System (extracted from your codebase, or built from scratch)\n* Product Context (what you're building, user personas, key workflows)\n\nThis foundation is captured as .md files in your project. You own the files, version them, and can edit them.\n\n**2. Spec-driven design** - Your coding agent consults Design Rails when facing design decisions. Design Rails orchestrates specialist AI agents including a UX Designer, UI Designer, Accessibility Specialist, and UX Copywriter. Each agent has deep context of your brand, unique design domain expertise, and access to a library of proven patterns from top products.. They work in parallel to produce comprehensive design specs. Your agent gets a detailed blueprint to implement.\n\n**3. Automatic design reviews** - Design Rails spins up a browser to see the rendered results, validating implementation against the spec to catch visual glitches and design inconsistencies before you even see them.\n\n![uploaded image](/media/?type=post&id=95564&key=user_uploads/1010497/4aa73593-8ee3-481f-bcf8-2aaf25f9842c)\n\nSee live before and after examples here: https://designrails.com/#examples\n\n# **Transform glitchy prototypes into production-ready experiences**\n\nTry it out on your existing project, or give it a quick try using an example project we provide as a playground. We’d love to hear your feedback and question- get in touch at [hello@designrails.com](mailto:hello@designrails.com).\n\nTry it now for free at [designrails.com](http://designrails.com)",
        "url": "https://www.ycombinator.com/launches/OrM-design-rails-give-your-coding-agent-its-own-product-design-team",
        "votes": 10,
        "created_at": "2025-11-17T17:46:13.194Z"
      },
      {
        "id": 92765,
        "title": "Chordio - AI-powered design reviews that guard your standards",
        "tagline": "Remove QA grunt work, catch issues early, and ship polished interfaces with confidence.",
        "body": "👋 We’re excited to introduce [Chordio](https://chordio.com), an AI-powered design review tool for designers.\n\n# The Problem\n\nAs generative AI increases the pace of design work, maintaining quality through manual review is quickly becoming impossible. Manual review is slow, inconsistent, and costly. Mistakes slip through, standards drift, and QA turns into a painful bottleneck.\n\nTeams need a better way to answer, “Is this good?” for every design, every time.\n\n# The Solution\n\n**Chordio** is an AI-powered design review tool purpose-built to help product teams raise the quality bar and reduce overhead as they scale up their output. Here’s how it helps:\n\n* **Enforces Quality and Standards**: Chordio checks your designs against your organization’s unique standards, not just generic best practices. You get actionable, relevant feedback that aligns with your team’s guidelines.\n* **Scales Best Practices**: By automating reviews and surfacing helpful resources, Chordio makes it easy for teams of any size to consistently apply best practices and grow design maturity.\n* **Shifts Review Left**: With our Figma plugin, designers can catch and fix issues early—when changes are cheap and easy.\n* **Reduces Friction**: Chordio proactively flags issues before hand-off, so designers, developers, and QA don’t need to play “catch up” later. Fewer last-minute surprises mean less frustration and less design debt.\n* **Broad Review Capabilities**: Our Chrome extension lets you review _any_ webpage, in Staging or Production, so you get broader test coverage.\n\n![uploaded image](/media/?type=post&id=92765&key=user_uploads/1010497/bf4fd533-cc44-45e2-bb2f-35c4bea089bf)\n\n# The Backstory\n\nWhile building a design assistant, we realized how much teams view QA as a burdensome overhead. We noticed that as AI-generated designs become the norm, the gap between design and QA capacity grows wider. The need for a smarter, faster way to review designs became urgent.\n\nThat’s why we built Chordio. Our goal is to help every product team answer “Is this good?” confidently and at scale.\n\n# Try Chordio\n\nIf you’re a designer, product manager, or engineer who cares about quality and wants to keep moving fast, we’d love for you to give Chordio a try. Your feedback will help us shape the future of automated design review.\n\n# Free consulting\n\nIf you’re looking to establish team or company standards or connect your existing ones to an automated QA workflow, let’s get on a call.\n\n![uploaded image](/media/?type=post&id=92765&key=user_uploads/1010497/82027ecc-ee92-4b4f-bc34-4a82d9609f91)\n\n— The Chordio Team",
        "url": "https://www.ycombinator.com/launches/O8D-chordio-ai-powered-design-reviews-that-guard-your-standards",
        "votes": 6,
        "created_at": "2025-08-06T16:06:30.835Z"
      },
      {
        "id": 90093,
        "title": "PRDKit: AI-powered PRDs and supporting GTM artifacts in one place",
        "tagline": "Turn fuzzy feature ideas into clear specs — then auto‑generate the wireframes, user flows & GTM assets that follow.",
        "body": "![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/cb87b05b-b9dc-4021-9428-9092d8176677)\n\n👋 Excited to introduce [PRDKit](https://prdkit.ai) - an AI-powered PRD workbench (web + Slack) for product managers and builders.\n\n**Problem:**\n\nWriting great product requirement documents (PRDs) is hard. These documents lay the foundation for a product or feature, yet they’re often bloated, confusing, and missing edge cases.\n\nThis leads to expensive downstream problems from a lack of team alignment to unnecessary work that gets thrown away.\n\nWrangling ChatGPT to write PRDs _works_, but it returns lots of fluff and quickly feels like running a sprint board in a spreadsheet—powerful yet awkward.\n\n**Solution**:\n\nPRDKit is a focused AI tool that captures rough ideas, structures them into clear, lightweight PRDs, and—at the click of a button—spins up the follow‑ups you always need:\n\n* Wireframes & user‑flow diagrams\n* Modular instructions for a dev AI‑agent like Bolt or Loveable for faster prototyping\n* GTM copy snippets\n\nFurther, it’s contextual. It helps you quickly capture the essence of your existing product (enter the homepage URL) to craft PRDs that cater to your personas and existing workflows.\\\n\\\nHere’s a [2-mins demo video]( https://youtu.be/QKNcrOjpUrQ) where you can see it in action. \n\n![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/7b05811f-7e8b-478a-8b4a-9f30b40c112e)\n\n**Back story:**\n\nWe were deep into building a UX assistant when we found that product specs were slowing us down. Even with the aid of ChatGPT and Claude, requirements were bloated and disorganized.\n\nSo we spun up a quick internal project on the same AI infrastructure we’ve built, aimed solely at turning fuzz into structure. The team loved it; specs got sharper, hand‑offs got quieter.\n\nThat side project has now been packaged for public use. We want to learn where it shines—or breaks—outside our walls.\n\nProduct managers and builders: [take it for a spin](https://prdkit.ai)! We’ll top off your credits for feedback.\n\nThe PRDKit team\\\n[hello@prdkit.ai](mailto:hello@prdkit.ai)\n\n![uploaded image](/media/?type=post&id=90093&key=user_uploads/1010497/2d54b5da-4c61-492d-9951-eff6893615a4)\n\n",
        "url": "https://www.ycombinator.com/launches/NR7-prdkit-ai-powered-prds-and-supporting-gtm-artifacts-in-one-place",
        "votes": 14,
        "created_at": "2025-05-06T19:11:11.772Z"
      },
      {
        "id": 80115,
        "title": "Chordio: Your generative UX assistant",
        "tagline": "Go from a product idea to screen wireframes 10x faster.",
        "body": "**TLDR;**\n\nChordio is a generative UX assistant that designs screen wireframes based on their description to help product teams increase their product iteration velocity.\n\nAs a founder, you can use Chordio to visualize a new concept quickly, speed up the customer feedback loop, and save time and money building the right solution.\n\n[Here’s a 1-min video](https://youtu.be/eKQ_YJazFZs):\n\n**Problem**\n\nUX design is expensive. Visualizing and prototyping new concepts manually is a laborious task for designers and agonizingly slow for non-designers. This limits the number of designs a product team is able to vet early and leads to expensive redesigns of features down the road.\n\n**Solution**\n\nChordio helps founders and product managers run faster user feedback loops, improve communication clarity, facilitate faster team alignment, and reduce design costs.\n\nYou can think of it as a ChatGPT that’s pre-built for generating product wireframes. With it, you can:\n\n* Generate multiple screen wireframes at a time based on text description.\n* Refine the generated designs with text feedback.\n* Co-create effective copy and UI. Think of Chordio not only as a design assistant but also as a UX writer assistant.\n\n**Backstory**\n\nOur previous startup, [Brand.ai](http://Brand.ai), which helped designers and developers work better together, was acquired by InVision. We’ve been building software to support product teams since.\n\nThese days, AI is reshaping how products get built. GitHub Copilot and similar assistants speed up the development phase. Yet, the design phase is largely left unassisted, creating a new bottleneck in the product development lifecycle.\n\nWe’re building Chordio to remove this bottleneck and help teams build the right products faster.\n\nGet started for free at [chordio.com](https://chordio.com)\n\n---\n\n---\n\n**Contact us to customize Chordio for your team’s existing product and design system.**\n\n\\- Ehud & Amit",
        "url": "https://www.ycombinator.com/launches/KqB-chordio-your-generative-ux-assistant",
        "votes": 13,
        "created_at": "2024-04-11T19:21:38.063Z"
      },
      {
        "id": 65037,
        "title": "Chordio - Lightweight sprint planner for remote development teams",
        "tagline": "Planning made easy. Accurately reflect workload and give everyone a voice to quickly align on a plan forward.",
        "body": "👋 Hi everyone! Ehud and Amit, co-founders of [Chordio](https://chordio.com) here. We previously co-founded [Brand.ai](https://Brand.ai) to help designers and developers work better together. We sold the company to InVision in 2017 and worked on improving product team collaboration since. With Chordio, we’re looking to help teams at any size plan their work better.\n\n### **Why we’re building Chordio**\n\nExisting tools focus on issue tracking, and underserve the upfront project planning needs. Prioritization, estimation, and capacity planning are commonly problems teams are left to struggle with. The transition to remote work made planning harder still, as planning had often started with a whiteboard huddle. The average project management tool doesn’t speak casual. It’s built for an official plan, due dates, and commitments.\n\nThat’s why over 80% of the teams we’ve talked with reach for a general-purpose solution like a spreadsheet for their planning activities. They then face a different set of problems: sweating over manual work, getting formulas wrong, dealing with random editors breaking fragile automations, accumulating massive backlogs, and losing sight of the source of truth among a sea of documents.\n\nSo, we’re building Chordio as the best of both worlds. A lightweight, collaborative tool with key planning features built-in.\n\n![uploaded image](/media/?type=post&id=65037&key=user_uploads/1010497/73819665-290c-41d1-9d44-5cfe67e9ba8b)\n\n\n### **How it works**\n\nChordio lets you work at the right planning fidelity. Go from a casual brainstorm to evaluating rough plan outlines, to an official release plan. When you’re done, export the work to Jira or your issue tracking tool of choice. - Integrations are coming soon.\n\nYou can create any number of planning boards where you can specify a focus for the sprint, list features, provide estimates, and assign to people. As you assign tasks you’ll see the capacity graph of individuals getting updated so you can protect people’s time and ensure an optimal sprint scope.\n\n![uploaded image](/media/?type=post&id=65037&key=user_uploads/1010497/68d67d7e-1ce9-4713-a9c9-9e4eaf8d69ed)\n\n\n### **Partner with us?**\n\nWe’re looking for design partners. That is, companies that will pilot Chordio’s next major release and provide early feedback to guide our roadmap. **If you’re running multiple projects and interested in improving upfront planning, and ongoing visibility into teams’ work at any level, let’s talk.** Here’s a [Calendly link](https://calendly.com/ehud-chordio/design-partnership) to book some time.",
        "url": "https://www.ycombinator.com/launches/Guz-chordio-lightweight-sprint-planner-for-remote-development-teams",
        "votes": 22,
        "created_at": "2022-08-01T07:05:06.639Z"
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    "id": 26661,
    "name": "Stream",
    "slug": "stream",
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    "website": "http://www.stream.claims",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Stream, we’re on a mission to modernize the insurance industry. Our product—the Stream AI Claims Workbench—uses custom AI agents to turn a constant stream of PDFs into automated workflows and high-value signals. This helps claims teams focus on the human work—getting people the medical treatment they need and the benefits they’re owed—while reducing costs for insurance companies.",
    "one_liner": "The AI Claims Workbench automating insurance claims ",
    "team_size": 15,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1656542941,
    "tags": [
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    "batch": "Summer 2022",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/stream",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/stream.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/streamclaims/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 986387,
        "full_name": "Eilam Levitov",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO of Stream Claims, the AI platform for insurance defense. ",
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        "linkedin_url": "https://linkedin.com/in/eilamlevitov",
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    "jobs": [
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        "id": 65425,
        "title": "Staff Software Engineer ",
        "url": "https://www.ycombinator.com/companies/stream/jobs/YHRZT8i-staff-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$210K - $265K",
        "equity_range": "0.25% - 0.75%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
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    "news": [
      {
        "title": "Stream secures $5.3M seed for workers compensation documentation",
        "url": "https://www.axios.com/pro/health-tech-deals/2024/10/09/stream-seed-workers-compensation",
        "date": "Oct 09, 2024"
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    "launches": [
      {
        "id": 65582,
        "title": "Stream ~ modernizing the workers' comp claim process",
        "tagline": "Automating claim adjuster workflows and producing better claim outcomes",
        "body": "Hey there 👋 We’re [@Eric Yen](https://www.linkedin.com/in/yeneric/) & [@Eilam Levitov](https://www.linkedin.com/in/eilamlevitov/) founders of [Stream](https://www.stream.claims/) (S22).\n\n**tl;dr**\n\nThe two of us are insurance and tech veterans innovating in commercial insurance claims. At Stream we automate the high-touch workflows workers’ comp claims adjusters do on a daily basis. Our platform saves adjuster time spent on repetitive tasks like calling and faxing, allowing the adjuster to focus on the high-value claim activities that improve the injured workers’ claim experience and optimize financial outcomes for insurance companies.\n\n**The Problem** 🤕\n\nWorkers’ Compensation (WC) insurance is a government-mandated program that provides benefits to workers who get hurt on the job. When a workplace injury occurs, a claim is filed on behalf of the injured worker. This claim pays out for the wages and medical treatment needed to get the employee back to work.\n\nToday, claim adjudication is a grossly manual process which involves adjusters spending the majority of their day either on the phone tracking down information or entering unstructured notes into legacy systems. The average adjuster handles 140 cases at any single time and takes 5 business days to respond to inquiries from injured workers.\n\nConsequently, the Injured worker is left alone to navigate an unfamiliar and complex claims process. Imagine feeling vulnerable with no clue how your bills will be paid. This pushes injured workers to the brink and inevitably to the front door of their local injury lawyer. In states like CA & FL, over one third of all WC claims are litigated - and the moment an attorney gets involved, that claim balloons 5x in cost.\n\n**\\~ Stream**\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/9172c9b2-5a9e-4064-80b6-d180a335c129)\n\nThe two of us met at Next Insurance, where Eric led WC product and Eilam led Risk Engineering. Eric also previously worked at Liberty Mutual as a WC claims adjuster for 5 years. At Next, we realized nothing has changed since Eric’s days as an adjuster and none of the automation we were building for the underwriting side exists in claims management today. That’s why we left to build Stream.\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/9c055997-8925-4c23-b75b-7117213d6550)\n\n![uploaded image](/media/?type=post&id=65582&key=user_uploads/986387/b33699f2-0c61-43aa-a3fc-a98ddeca5c3f)\n\nStream saves up to 40% of an adjuster’s time spent on the phone, sending faxes, and manually typing notes into their claim system. Moreover, we also improve the claim experience for the injured worker by providing real-time information such as claim status and financial updates, and help facilitate services such as transportation to doctors offices - all via text.\n\n**Our ask**\n\nKnow anyone working in commercial insurance or with experience in claims processing? We’d love an intro!\n\n\\\nFeel free to reach out to us - [founders@stream.claims](mailto:founders@stream.claims)\n\n\\\nThanks,\n\nEric & Eilam\n\n[www.stream.claims](http://www.stream.claims)",
        "url": "https://www.ycombinator.com/launches/H3m-stream-modernizing-the-workers-comp-claim-process",
        "votes": 34,
        "created_at": "2022-08-23T19:30:31.281Z"
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    "id": 26669,
    "name": "Mercator",
    "slug": "mercator",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23caaf66a486729b29c6d411b709dcf89cc1a019.png",
    "website": "http://www.mercator.tech",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Mercator is your AI-assisted data analytics platform for writing faster, cheaper, and smarter SQL. Co-founders Andrew and Dayton met on the Instacart data science team. Dayton earned a physics PhD at UC Berkeley before entering DS. Andrew spent six years as a SWE at Uber, where he developed pydeck, a geospatial data visualization library with over 12M downloads. Mercator is backed by Y Combinator, Tribe Capital, Soma Capital, Valor Equity Partners, Amplify Partners, and Rebel Fund.",
    "one_liner": "AI-assisted data analytics",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1660079045,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/mercator",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/mercator.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mercator-tech",
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        "user_id": 995076,
        "full_name": "Dayton Thorpe",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at Mercator. Previously in Data Science at Instacart, Valor Equity Partners, and Kabbage. Physics PhD from UC Berkeley.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dayton-thorpe/",
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    "id": 26671,
    "name": "Ciro",
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    "website": "https://www.ciro.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ciro is an AI agent that finds prospects, researches their buying signals, and drafts personalized outreach, all from Slack.\r\n\r\nTell it who you sell to. It finds the right people, figures out why now is the right time to reach out, and writes outreach that sounds like your best rep did 30 minutes of research.\r\n\r\nWelcome to the future of selling.",
    "one_liner": "GTM AI that books you 5-8 meetings/week",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1656551400,
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    "url": "https://www.ycombinator.com/companies/ciro",
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ciro-io/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 928465,
        "full_name": "Ross Geiger",
        "title": "Founder",
        "founder_bio": "Ross is a Co-Founder and President at Ciro. Before starting Ciro with two of his best friends from Brown University, he built the sales function as VP of Sales at a dental software company (YAPI) and implemented S&M technologies while an operating partner at a software investment firm (M33 Growth). Ross holds a BA in Economics and East Asian Studies from Brown University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rossgeiger1",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19d4b31d53628ad9606383b7f863c5bde5fa3b3c.jpg"
      },
      {
        "user_id": 503100,
        "full_name": "Richard Lee",
        "title": "Founder",
        "founder_bio": "Richard is CEO at Ciro. Previously, he was COO at BuildZoom (W13), one of the world's largest marketplaces for remodeling and construction, and a consultant at Bain & Company. He graduated with a degree in Applied Mathematics & Economics from Brown University, and currently is on leave from Stanford's Graduate School of Business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zrlee",
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      {
        "user_id": 234378,
        "full_name": "David Winer",
        "title": "Founder",
        "founder_bio": "David is CTO at Ciro. Before starting Ciro, he was a product manager for the Kotlin programming language at Google. Before that, he worked as a software engineer and product manager at various startups and as a management consultant at Bain & Co. He has a bachelor's degree in Applied Math from Brown University, a Master's in Electrical Engineering & Computer Science from Berkeley, and an MBA from Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-winer",
        "x_url": "https://twitter.com/davidjwiner",
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    "jobs": [
      {
        "id": 72439,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/ciro/jobs/c7NK9Eu-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "GraphQL",
          "Node.js",
          "React",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Ciro Raises $3.8 Million Round from CRV, Y Combinator, and SV Angel",
        "url": "https://www.ciro.io/blog/ciro-raises-3-8-million-round-from-crv-y-combinator-and-sv-angel",
        "date": "Oct 25, 2022"
      },
      {
        "title": "#PowerToTheSalesperson CRV’s Investment in Ciro: Connecting Sales Teams to the Right Small Businesses at the Right Time | by CRV | Team CRV | Oct, 2022 | Medium",
        "url": "https://medium.com/crv-insights/powertothesalesperson-crvs-investment-in-ciro-connecting-sales-teams-to-the-right-small-f61a99dddb57",
        "date": "Oct 25, 2022"
      }
    ],
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      {
        "id": 90130,
        "title": "Ciro - A Prospecting Autopilot for Sales 🚀",
        "tagline": "Build the perfect prospect list in <5 min with AI",
        "body": "**TL;DR:** Ciro’s new Prospecting Autopilot uses AI to build the perfect prospect list — so you don’t have to.\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/6de1c5c1-df62-43ec-8866-ae15b658be32)\n\nAfter much tinkering, we built the sales tool we always wanted — an AI agent that can build your lead list for you.\n\n### **Here’s how it works:**\n\n* **First, Ciro scans your website** to learn about your Ideal Customer Profile and the products you sell\n* **Then, it agentically tests multiple search strategies** (combinations of job titles, geography / headcount filters, industries, vector vs. keyword search over the universe of companies) to determine the best way to surface prospects within a universe of 500m+ profiles\n* **Next, it performs the best-performing search**, reviews each profile, and scores them individually to ensure fit with your Ideal Customer Profile\n* **Finally, it enriches contacts with verified emails & mobile numbers** from 15+ sources and dedupes/pushes relevant contacts to your CRM in one click\n\n### **Why we built Autopilot**\n\n* Founders & sales reps need a repeatable way to find decision-makers, without taking hours every day\n* Contractors and virtual assistants cost $$ and can’t keep pace with shifting ICPs\n* Users told us they wanted one button that _thinks_ through the search—and then just does it\n* 👉 Our vision is friction-free prospecting from “Who should I target?” to “Meeting booked” — and we think Ciro Autopilot is a big step toward that future\n\n### **Try it out**\n\n* Create your account on [Ciro](https://ciro.io)\n* Tell us in chat that you came from Launch YC — we’ll send you a bunch of bonus credits to get started!\n\n![uploaded image](/media/?type=post&id=90130&key=user_uploads/503100/c93a8653-90e1-4d70-98c6-d98c6bafdb60)\n\n",
        "url": "https://www.ycombinator.com/launches/NRi-ciro-a-prospecting-autopilot-for-sales",
        "votes": 11,
        "created_at": "2025-05-06T09:26:20.489Z"
      },
      {
        "id": 87107,
        "title": "Ciro - 10x Your Prospecting on LinkedIn Sales Navigator",
        "tagline": "Meet Ciro, your new Autopilot for sales prospecting on LinkedIn",
        "body": "**TL;DR** — LinkedIn has the best data for B2B sales but **zero automation**. Founders and sales reps waste TONS of time manually searching, qualifying, and engaging leads on the platform.\n\nCiro makes prospecting on LinkedIn 10x easier:\n\n* **Ciro Autopilot** scans profiles (in Sales Navigator), qualifies them against your ideal customer profile, and builds a ready-to-contact list in minutes\n* **Ciro Enrich** instantly reveals phone numbers and emails on profiles — whether you’re on a free or paid LinkedIn account (from our network of 13 high-quality data providers)\n\n[Here’s a video](https://youtu.be/z0dYm46MfsM) of me using Ciro & watching Netflix with Ciro’s CEO, Richard.\n\n### **The Problem:**\n\n1. **A huge time commitment.** Sales reps (and Founders!) lose hours each week sifting through Sales Navigator searches, poking around profiles for the right fit\n2. **Hard to filter out unqualified leads.** A great title alone doesn’t always mean they’re a great prospect — context matters, and double checking is a chore\n3. **Zero contact info.** You’ll find the perfect lead, then pay for yet another tool just to get their email or phone\n4. **Expensive integrations + data providers.** Connecting to LinkedIn so you can push to CRM? That’s $1600 annually, per seat. A license to Zoominfo? $10k a year. It adds up!\n\n### **Why We Built Ciro**\n\nLike many YC companies, Ciro’s customers operate on lean budgets but expect high quality output from their sales teams. The only way to bridge that gap is to arm them with great tools. We saw a few common problems:\n\n* **Bottlenecks** **form** when companies rely on humans to parse information — revenue growth is gated on executing manual, repetitive tasks\n* **Many products do too little** (simple browser extensions) or **require** **complicated orchestration** that takes forever to set up\n* **Finding great contact data** is expensive and usually requires several additional subscriptions\n\n### **Our Ask (Try It!) + How It Works**\n\n_(for LinkedIn Sales Navigator subscribers)_\n\n1. **Install** [**Ciro**](https://app.ciro.io/)\n2. Edit the AI-generated Persona & Sales Navigator filters\n3. Click Run! Watch the magic 🪄\n4. Review contacts & enrich with emails + phone numbers\n5. Push contacts directly to your CRM or download CSV\n\nWe’re excited to see how much you’ll accomplish with Ciro Autopilot at your side — and how many more deals you close!\n\n![uploaded image](/media/?type=post&id=87107&key=user_uploads/928465/b390a939-694c-48b6-8276-6a7cf8e1e96d)\n\n",
        "url": "https://www.ycombinator.com/launches/Mex-ciro-10x-your-prospecting-on-linkedin-sales-navigator",
        "votes": 15,
        "created_at": "2025-01-23T19:02:27.063Z"
      },
      {
        "id": 64232,
        "title": "Ciro 🚀 The GTM Platform for companies selling to SMB and Local businesses",
        "tagline": "Ciro helps companies selling to SMB and Local businesses close more revenue by making it easy to find good leads for their business.",
        "body": "### **What’s the Problem?**\n\nIf you run a business selling to an SMB vertical, you’ve probably found it **impossible to** **find rich data on the prospects in your market…** and that existing data solutions are rife with missing records, infrequent updates, and incorrect contact information.\n\n### **What’s the Solution?**\n\nCiro handles prospect list building so you don’t have to.\n\n![uploaded image](/media/?type=post&id=64232&key=user_uploads/928465/3ca9d271-95f9-45da-80ce-a085a8052544)\n\nOur solution combines hundreds of vertical-specific web crawlers that run every day, plus a data ingestion engine that joins dozens of public and proprietary data sources. Through these tools we provide our customers with a complete prospect database, plus vertical-specific “signals” to focus their outreach.\n\nExamples of these “signals” include:\n\n* Changes to a prospect’s **tech stack** (e.g. a doctor’s office uninstalls ZocDoc)\n* **New company formation** (e.g. a newly-registered construction license)\n* **Ownership changes** (e.g. change-of-control updates to company reporting docs)",
        "url": "https://www.ycombinator.com/launches/Gi0-ciro-the-gtm-platform-for-companies-selling-to-smb-and-local-businesses",
        "votes": 31,
        "created_at": "2022-06-30T15:28:24.577Z"
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    "name": "Penguin AI",
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    "website": "http://penguinai.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Penguin AI help B2B companies identify the exact PEOPLE and companies visiting their site and auto-sequences them in a personalized way; book more demos without scaling headcount.",
    "one_liner": "AI Sales Rep for Website Intent Signals",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1659633968,
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        "full_name": "Rohan Doshi",
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        "title": "Founder",
        "founder_bio": "University of Waterloo Mechatronics Engineering, ex-Google Engineer",
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        "linkedin_url": "https://linkedin.com/in/prathikmuppidi",
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      "Immuna"
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    "website": "https://www.truva.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals. Many teams have seen up to 25% increase in sales where Truva's AI agents automated tedious tasks such as email follow up, CRM data entry, and process optimizations.",
    "one_liner": "Sell more. Grind less with AI agents.",
    "team_size": 23,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1659500031,
    "tags": [
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    "top_company": false,
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    "nonprofit": false,
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    "status": "Acquired",
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      "Partly Remote"
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    "stage": "Early",
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    "year_founded": 2022,
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 331716,
        "full_name": "Gaurav Aggarwal",
        "title": "Founder",
        "founder_bio": "A builder at heart, Gaurav spent nearly a decade leading technical teams for large tech companies such as Google, LinkedIn, and Microsoft and exited an applied AI startup Sleek. At Sleek, he led product and engineering using AI to accurately detect wait times from multiple data sources at popular venues. Sleek's unique technology was featured on Forbes AI 50 list, making him a Forbes 30 under 30 honoree.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gaurava91/",
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      {
        "user_id": 374275,
        "full_name": "Anuja Verma",
        "title": "Founder",
        "founder_bio": "Anuja is passionate about making humans more efficient, and AI Agents are an instrument for achieving that. At Truva, she is helping businesses achieve new heights in operational efficiencies. Prior to that, she was a veteran technical leader at Amazon, where she solved deep technical problems across Transaction and Risk Management, Alexa, and AWS organizations for about a decade. She has an MBA from Haas School of Business, the University of California Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anujaverma1/",
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    "news": [
      {
        "title": "CRM Giant Taps YC-Backed Startup to Accelerate Next-gen AI platform | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/news-and-trends/crm-giant-taps-yc-backed-startup-to-accelerate-next-gen-ai/494628",
        "date": "Jul 15, 2025"
      },
      {
        "title": "AI Agents Startup Secures $4M to Revolutionize Customer Onboarding & Retention | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/growth-strategies/ai-agents-startup-secures-4m-to-revolutionize-customer/474513",
        "date": "May 22, 2024"
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      {
        "id": 85127,
        "title": "Truva - Sell more. Grind less with AI agents.",
        "tagline": "Truva handles the busywork intelligently saving your sales team hours each week, so they can focus on what matters most - building and closing deals.",
        "body": "**TL;DR:** Truva is a Sales AI Agents platform that takes care of the tedious tasks—like email follow-ups and CRM data entry—so your team can focus on what truly matters: selling more.\n\nHi everyone, we’re [Anuja](https://www.linkedin.com/in/anujaverma1/) and [Gaurav](https://www.linkedin.com/in/gaurava91/) from Truva AI, and we’re thrilled to introduce [Truva](https://truva.ai) to sales teams everywhere!\n\nSales reps spend hours on manual tasks like CRM updates, lead enrichment, and follow-ups. This time-consuming admin work leads to missed opportunities, inconsistent data, and inaccurate forecasts. Not only does it frustrate sales teams, but it also stalls revenue growth.\n\n![uploaded image](/media/?type=post&id=85127&key=user_uploads/331716/987d62fa-4a6a-41db-b85b-95790f8a4b51)\n\n**The Solution**_:_ Truva is a Sales AI agents platform that takes over the repetitive CRM tasks your team doesn’t want to handle. With Truva, you get an AI-driven platform that captures, organizes, and updates CRM data seamlessly. Covering everything from online meetings and emails to voice notes, Truva ensures every important detail is accounted for, letting you stay focused on selling. Here’s how Truva can transform your sales workflow:\n\nCheckout Truva: <https://youtu.be/AtMIYPJOZ00>\n\n* **Comprehensive Sales Activity Tracking-** Truva automatically tracks every interaction—from online meetings and in-person conversations to emails and voice memos—extracting key insights aligned with both custom and standard sales frameworks. It has your sales conversations covered, hassle-free.\n* **Always-On CRM Updates-** Truva keeps your CRM structured, accurate, and up-to-date in real time. Say goodbye to manual data entry; instead, rely on an updated CRM you can trust.\n* **AI-Powered Follow-Ups, Right on Time-** Truva identifies critical next steps and drafts personalized follow-up emails based on meeting details, ensuring no opportunity slips through. Follow-ups are timely, relevant, and automatic.\n* **Advanced Sales Analytics & Insights-** Gain actionable insights: Truva analyzes prospect sentiment, engagement, and communication patterns, providing the data you need to refine your pitch and boost conversion rates.\n* **Real-Time Alerts & Customizable Data Fields-** Stay on top of every conversation with real-time notifications, automated task creation, and customizable data mapping to the CRM fields that matter most.\n\n**And this is just the beginning…**\n\n**The Vision: A Sales Sidekick for Every Rep** 🦸‍♂️🦸‍♀️ Our long-term goal is for Truva to be the AI “Sidekick” to your sales “Superhero.” Acting as an orchestration layer across all your tools, Truva automates the busywork, so you can focus on closing deals and driving growth.",
        "url": "https://www.ycombinator.com/launches/M91-truva-sell-more-grind-less-with-ai-agents",
        "votes": 459,
        "created_at": "2024-10-29T17:31:28.285Z"
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    "id": 26693,
    "name": "SigmaMind AI",
    "slug": "sigmamind-ai",
    "former_names": [
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      "PayO",
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    "website": "https://sigmamind.ai?utm_source=yc&utm_medium=web",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "SigmaMind AI is a platform for building voice AI agents purpose-built for call centers. Our agents make and answer calls for lead generation, appointment setting, follow-ups, collections, customer intake, and basic support. Instead of replacing the phone systems a center already uses, we connect on top of them. Because the AI handles many calls at once, a call center can reach far more people than a human team, lower its cost per lead, and stop wasting agent time on calls that go nowhere. Our customers are usually non-technical operators running centers with 25 or more agents, with the strongest traction in insurance, home services, solar, and lending.",
    "one_liner": "Voice AI platform purpose-built for contact centers.",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1653235676,
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      "Conversational AI"
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    "url": "https://www.ycombinator.com/companies/sigmamind-ai",
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    "country": "US",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Ashish Agarwal",
        "title": "Founder",
        "founder_bio": "Co-Founder at SigmaMind AI- voice/chat AI platform for call-centers and enterprises \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/agarwalashish101/",
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        "full_name": "Pratik Mundra",
        "title": "Founder",
        "founder_bio": "Co-founder at SigmaMind AI, Previously founded a Clean Energy business, Ex- Goldman Sachs",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/mundrapratik90/",
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      {
        "id": 76739,
        "title": "SigmaMind AI - Automate customer support with AI 🚀",
        "tagline": "We help e-commerce brands automate their customer support using AI",
        "body": "Hi, we are [Ashish](https://www.linkedin.com/in/agarwalashish101/) and [Pratik](http://www.linkedin.com/in/mundrapratik90/), founders of [**SigmaMind AI**](https://sigmamind.ai/?utm_source=yc&utm_medium=web) - an AI platform to automate customer support for brands and call-centers.\n\nWe came to work on this idea when we were ordering food from a food delivery service and had to wait almost 15 minutes to talk to an agent - leaving us frustrated. After talking to E-commerce companies, we realized the problems they faced and decided to find a solution.\n\n**Problem:** E-commerce brands are overwhelmed by the increasing volume of customer inquiries, leading to slow response times, frustrated customers, high support costs, and lost sales.\n\n* Limited support 🚫: Current support models lack 24/7 availability, causing missed inquiries and lost opportunities.\n* Delayed responses 🕐: Long wait times and inaccurate information frustrate customers and damage brand perception.\n* Inconsistent communication 😕 : New agent training leads to conflicting information and inconsistent brand messaging.\n* Inefficiency and High Cost: Agents waste time on basic questions, hindering their ability to solve complex issues and prevent problems.\n\n**Solution:** SigmaMind AI seamlessly integrates with your Shopify store and Gorgias to automatically resolve customer tickets, freeing up your human agents for more complex issues. Our powerful AI can:\n\n* Respond to frequently asked questions about products, orders, shipping, and returns.\n* Suggest personalized product recommendations based on individual customer preferences.\n* Create subscriptions on Recharge, cancel orders on Shopify, and tag tickets appropriately.\n* Close tickets automatically once the issue has been resolved.\n* Generate draft responses for human agents, saving them valuable time.\n* Learn from your Shopify store, past tickets, FAQs, and other data sources to ensure accurate and personalized support.\n\n**How does it work?**\n\n[Check out this short demo video](https://youtu.be/6RgqHcCJ5Ew?si=PuxtgQyPoGlIcsLm)\n\nSigmaMind AI works within helpdesk tools like Zendesk/Gorgias and needs to be linked to your Shopify store. It has 2 modes - Autopilot and Co-pilot.\n\n* In Autopilot mode, it will automatically send responses to customer tickets, take any action like creating a subscription on Recharge or cancel an order on Shopify, tag the ticket appropriately, and close it. You can set up this custom workflow on the SigmaMind AI dashboard.\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/baebbd2a-79a9-440e-b611-993d3d991f01)\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/4b56ceae-2b59-4be4-b472-7cd3685374c5)\n\n* In Co-pilot mode, AI will suggest response drafts for any incoming ticket which can be used by the support agent to send a response.\n\n  ![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/e2159a15-3bf2-4e93-a0c6-a313a26d82a5)\n\n\nYou can set up the AI brand voice and tone on the SigmaMind AI dashboard to customize the AI for your brand. This enables you you create a truly personalized AI for your brand.\n\n![uploaded image](/media/?type=post&id=76739&key=user_uploads/1016312/a3932108-9752-4e73-89be-e49bf4b2ec85)\n\nIt integrates with other tools like Recharge, Loop Returns, and Skio as well. It tackles frequently asked questions about products, orders, shipping, and returns, freeing up your team for more complex issues. SigmaMind AI learns from your Shopify store, past tickets, FAQs, help docs, and other third-party systems, ensuring accurate and personalized support.\n\n**Our Ask**\n\n1. Refer any E-commerce brands, Shopify agencies, or Customer support managers in your network. Referral bonus 💰 for every lead converted. Email us at [hello@sigmamind.ai](mailto:founders@sigmamind.ai) to connect.\n2. If you own a Shopify store, please [book a demo](https://calendly.com/sigmaai/sigma-ai-demo-30-mins) with us to see SigmaMind AI in action. Special deal for YC companies! ❤️",
        "url": "https://www.ycombinator.com/launches/Jxj-sigmamind-ai-automate-customer-support-with-ai",
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        "created_at": "2023-12-07T17:16:27.387Z"
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    "id": 26704,
    "name": "Two Dots",
    "slug": "two-dots",
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    "website": "https://www.twodots.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building an AI consumer underwriting automation agent. ",
    "one_liner": "AI fraud prevention and underwriting agent",
    "team_size": 28,
    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
    "launched_at": 1652906962,
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Max and I have known each other since we were best friends at a middle school for gifted children in the Bay Area.After a four-year stint in the Foreign Exchange trading group covering Hedge Funds at Goldman, I spent two years as the fourth employee selling software to property managers. That experience taught me that every property manager’s biggest problem in their business was leasing, and no one had solved it. I called my old friend Max, who was working on the search team at Google, and asked him for advice on solving income verification for rentals. He responded that he had spent years working on this problem in the Mortgage space for Blend (now public), and that the transformers AI revolution finally made an end-to-end solution possible.Max resigned from Google a few months later, and we were working on Two Dots. Still hard to believe the serendipity sometimes."
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    "country": "US",
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        "full_name": "Henson Orser",
        "title": "Founder",
        "founder_bio": "Building Two Dots - AI fraud prevention and underwriting agent. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henson-orser/",
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      {
        "id": 76935,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/two-dots/jobs/ntVRsMt-product-engineer",
        "location": "San Francisco HQ",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Google Cloud",
          "Node.js",
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          "Python",
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      },
      {
        "id": 76936,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/two-dots/jobs/GxUeTh3-sales-development-representative",
        "location": "San Francisco HQ",
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        "body": "### **The Problem**\n\nTraditionally when a consumer wants to borrow money, take out a mortgage, or rent an apartment, they need to provide the underwriter with a bunch of financial documents to prove they can afford the product.  This is a time consuming & fraud ridden process!\n\n### **Our Solution**\n\nTo solve this problem we’re first automating the process of verifying income and employment data for large property managers. Over time we plan to integrate with many data sources so payroll data can be seamlessly used to make better & faster underwriting decisions by any financial institution.\n\n### **Who We Are**\n\nI started my career working at Goldman for 4 years, before making the jump to startup-land as the 4th employee at a proptech startup, where we processed online rental applications.  Seeing up close how broken the income verification process is, and how broken the overall way underwriters decide who gets access to housing (credit scores), lead us to realize there’s a better way.\n\nMax started his career as one of the first engineers on the income verification team at Blend, spending years working on this problem before making the jump to work on search at Google.  After experiencing both the excitement of being early at a rapidly scaling startup (Blend is now public), and the mega-scale of search at Google, Max and I decided we were the team to tackle the broken consumer underwriting system.\n\n### **How You Can Help**\n\nOur biggest focus today is getting more customers, **so if you know anyone managing thousands of rental properties we would love an intro!** ",
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        "title": "Superpowered AI - API for Retrieval Augmented Generation 🌐",
        "tagline": "Superpowered makes it easy to build production-ready LLM applications with access to external knowledge.",
        "body": "### TLDR\n\nWe’re excited to announce the release of The SuperStack alongside our new Chat endpoint. Now, you can easily deploy conversational LLM applications with knowledge retrieval built-in. Our SuperStack suite of technologies directly targets common RAG failure modes, like hallucinations caused by out-of-context search results. Dive in and test it using our [Playground](https://superpowered.ai/), [Python SDK](https://github.com/SuperpoweredAI/superpowered-python-sdk), or [clone these examples](https://github.com/SuperpoweredAI/superpowered-examples).\n\n### Problem 🤔\n\nMany uses for LLMs, including most customer support and employee productivity applications, require effectively connecting LLMs to external knowledge sources. Doing this well is very hard. Current retrieval augmented generation (RAG) methods just take existing information retrieval methods and stuff the results into an LLM prompt. This works for simple demos, but usually isn’t reliable enough for real-world production applications.\n\n### Solution 🧠\n\nSuperpowered AI offers a simple API that lets you connect external data sources (like product documentation, for example) to LLMs. We leverage proprietary RAG technology we’ve developed (we call it the [SuperStack](https://superpowered.ai/blog/the-superstack)) to dramatically improve performance and reliability for a wide variety of use cases.\n\n![uploaded image](/media/?type=post&id=76118&key=user_uploads/733585/063e897c-eaa8-4a3a-874c-f0bad5249909)\n\nOur solution is end-to-end, so you don’t have to worry about stringing together different APIs for different parts of the retrieval and generation pipeline. Here are some key features:\n\n* Support for uploading various types of text files, PDFs, website content, and audio files\n* 94 languages supported\n* Use our knowledge retrieval pipeline on its own with our Query endpoint, or take advantage of our Chat endpoint for a fully end-to-end solution for building conversational applications connected to external knowledge sources.\n* Usage-based pricing, so you only pay for what you use, and $50 in free credits to all new users!\n\n### The SuperStack 🦸\n\nThe SuperStack has three components that directly tackle the problems with standard RAG pipelines:\n\n[**AutoQuery**](https://superpowered.ai/blog/introducing-auto-query) → Convert user inputs into well-formed search queries for better retrieval results.\n\n[**Relevant Segment Extraction (RSE)**](https://superpowered.ai/blog/introducing-relevant-segment-extraction) → Dynamically group clusters of relevant results into longer sections of contiguous text to provide better context to the LLM. This is especially useful for more complex questions, where the answer isn’t contained in a single sentence or paragraph.\n\n[**AutoContext**](https://superpowered.ai/blog/introducing-auto-context) → Automatically inject descriptive context into text chunks and embeddings, to capture the full context of each chunk of text, reducing the likelihood of poor search results and hallucinations.\n\n### Chat Endpoint 💬\n\nGiven that LLM applications often involve conversational interactions, we recently launched our Chat endpoint to make it easy to configure and deploy chat applications that utilize our knowledge retrieval pipeline. We currently support GPT-3.5-Turbo and GPT-4, with more models coming soon.\n\n<https://youtu.be/3bnS3ppoRtM?feature=shared>\n\n### Custom Solutions 🌐\n\nFor companies that don’t have the resources or expertise to build their own LLM-based solutions, we’re here to help. Whether you're looking to enhance internal productivity or launch innovative new products with LLMs, we will work with you to bring your vision to life. Our team is dedicated to helping businesses of all sizes leverage the potential of AI to drive efficiency and customer love.\n\n### Ask 🙏\n\n* Test it out and share your feedback. If it isn’t working well for your use case, please let us know! We love diving in and solving difficult problems for our customers.\n* If you know developers/founders who are looking to build an LLM-based app, please send intros. We love learning about different use cases and the challenges developers are facing.\n* [Retweet](https://twitter.com/superpowered_ai/status/1722691291891298586)",
        "url": "https://www.ycombinator.com/launches/Jni-superpowered-ai-api-for-retrieval-augmented-generation",
        "votes": 18,
        "created_at": "2023-11-09T19:01:41.875Z"
      },
      {
        "id": 71445,
        "title": "Superpowered AI - Knowledge Base as a Service for LLM applications",
        "tagline": "Superpowered AI is an end-to-end knowledge retrieval solution that makes it easy to add external knowledge and long-term memory to your LLM application. ",
        "body": "Hey everyone! We are Zach McCormick, Dillon Martin, Justin Clark, and Nick McCormick from [Superpowered AI](https://superpowered.ai/).\n\n### **TLDR**\n\nSuperpowered AI is an end-to-end knowledge retrieval solution designed specifically for LLM applications (i.e. retrieval-augmented generation). We turn complex infrastructure into a few simple API calls, making it easy to retrieve the right information and deliver highly relevant responses to your users. \n\n### 🦉 Who is it for?\n\nWhether you’re using LLMs to improve your customer experience, increase efficiency within your company, or launch an LLM-based application for end-users, **Superpowered AI can provide your app with external knowledge and long-term memory without requiring you to be an AI expert** – all at a low cost. How low? We’ve set our pricing at half the cost of popular alternatives like OpenAI embeddings + Pinecone. Please note, our product is completely free for now, so feel free to query your heart out!\n\n### 💡 How does it work?\n\nSimply upload files (including audio) to a Knowledge Base, and then you can begin querying! We handle the text splitting, embeddings calculation, vector database uploading, etc. for you. **When you query your Superpowered AI Knowledge Bases, we return a list of the most relevant snippets of text from your Knowledge Bases, along with an LLM-generated summary of the results (with citations).** This output can then be added to the prompt of your LLM-based application to dramatically improve your LLM responses. Accepted file types: .pdf, .docx, .txt, .md, .mp3, .m4a, .wav\n\nYou can check this out in our web app right now[!](https://www.youtube.com/watch?v=4R_qoQvuNL8&ab_channel=ArtForYourTVBy%3A88Prints)\n\nOr, you can use our [SDK](https://github.com/SuperpoweredAI/superpowered-python-sdk/blob/main/README.md) 🤓 :\n\n**Step 1**: Install Superpowered SDK\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/bc0b3af2-2a71-4e13-abfd-31c6f952e913)\n\n**Step 2**: Create a Knowledge Base\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/1d26ab88-cd54-42af-9d61-4064109a9835)\n\n**Step 3**: Query from Knowledge Base\n\n![uploaded image](/media/?type=post&id=71445&key=user_uploads/733585/bdc760ee-8337-4dc2-86e7-2cc496c7a47c)\n\n### 👊 Why we built Superpowered AI\n\nLLMs have emerged as a groundbreaking new technology and we are thrilled to be part of this revolution! But when LLMs are used on their own they have major shortcomings. For real-world use cases, we could see the importance of integrating additional functionality into them to overcome these issues.\n\n1. **Access to external knowledge**. LLMs lack reliable knowledge and have none of your files to work with, but providing them access to knowledge will change your LLM app from a “neat toy” to a powerful tool for real-world use.\n2. **Long-term memory**. Want to build a chatbot that remembers users’ preferences over long periods of time? You’ll need to store conversations and retrieve them later on.\n\n### 🙏 Our Ask\n\n1. Check out [Superpowered AI](https://superpowered.ai/) and join our [Discord](https://discord.gg/s2bE3MfG)!\n2. Talk to us about your use case. If you’re building any kind of LLM application, there’s a very good chance we can help!\n\n### 🚀 Sign up & chat with us:\n\nCreate your account and/or book a demo at [superpowered.ai](http://superpowered.ai), or email me at [dillon@superpowered.ai](mailto:dillon@superpowered.ai)",
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        "full_name": "Aaron Kahane",
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        "full_name": "Drew Schneider",
        "title": "Founder",
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        "title": "Mid-Market Account Executive",
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        "location": "Chariot HQ / New York, NY, US",
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        "location": "Chariot HQ",
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        "url": "https://www.ycombinator.com/companies/chariot-2/jobs/AdTPjZ7-software-engineer-agentic-infrastructure",
        "location": "Chariot HQ",
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        "location": "Chariot HQ",
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        "url": "https://www.ycombinator.com/companies/chariot-2/jobs/nRqtMQX-site-reliability-engineer",
        "location": "Chariot HQ",
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        "url": "https://www.ycombinator.com/companies/chariot-2/jobs/wDahI0O-head-of-product",
        "location": "New York City",
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        "title": "Product Marketing",
        "url": "https://www.ycombinator.com/companies/chariot-2/jobs/axfRmly-product-marketing",
        "location": "Chariot HQ",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
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        "url": "https://www.ycombinator.com/companies/chariot-2/jobs/1Oyx4MN-content-marketing",
        "location": "Chariot HQ",
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    "id": 26709,
    "name": "Dittofeed",
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    "website": "http://dittofeed.com",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Dittofeed is an open-source alternative to platforms like Klaviyo and Customer.io. Self-host us for free, or use our low-cost cloud offering to automate messages across email, SMS, mobile push, WhatsApp, and more. \r\n\r\nWe also offer solutions for embedding Dittofeed in your own SaaS! Instantly provide your customers with automated messaging tools.",
    "one_liner": "Open-source customer engagement & messaging automation",
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    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
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    "regions": [
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      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/dittofeed",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/dittofeed.json",
    "year_founded": 2022,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/dittofeed",
    "x_url": "https://twitter.com/dittofeed",
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    "founders": [
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        "full_name": "Chandler Craig",
        "title": "Founder",
        "founder_bio": "Startup marketer, music marketer, full-stack engineer, and open-source proponent. Cofounder of Dittofeed, making the marketing software experience better for growth engineers and marketing ops.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/chandler-craig-90",
        "x_url": "https://twitter.com/chandycraig",
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      {
        "user_id": 1003219,
        "full_name": "Maxwell Gurewitz",
        "title": "Founder",
        "founder_bio": "Max led major engineering initiatives at Braze, a leading marketing automation company. ",
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        "linkedin_url": "https://linkedin.com/in/max-gurewitz-6a848966",
        "x_url": "https://twitter.com/maxgurewitz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8cbf85330155993fe3829f823bdc4b248345f12a.jpg"
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    "launches": [
      {
        "id": 91935,
        "title": "Dittofeed 📬 Embedded Messaging Features for Your SaaS",
        "tagline": "Dittofeed's Embedded Components instantly add template editors, workflow builders, user segmentation, and other messaging features to your app",
        "body": "Hi all, we’re [Max](https://www.linkedin.com/in/maxwell-gurewitz-6a848966/) and [Chandler](https://www.linkedin.com/in/chandler-craig-90/) from [Dittofeed](https://www.linkedin.com/company/dittofeed) 🙂\n\n**TL;DR - Dittofeed Embedded Components give your application messaging features like template editors and broadcasts in seconds**. SaaS companies in health, finance, education, and property management use Embedded Components to give their users the power to automate messaging.\n\n✋ Ask - If you are/know a **vertical SaaS founder, product manager, or engineering manager** who doesn’t want to spend a year developing workflow builders, user segmentation, SMS and email template editors, etc. reach out! [chandler@dittofeed.com](mailto:chandler@dittofeed.com)\\\n[https://www.youtube.com/watch?v=M9GrR1TtbDA\\\\](https://www.youtube.com/watch?v=M9GrR1TtbDA%5C)\n\n**☣️ Problem**\n\nOn any given day, somewhere in the world, there’s an engineer reimplementing a low code messaging automation tool for the nth time.\n\nDrag and drop workflow builders, user segmentation engines, and email template editors are seemingly ubiquitous among SaaS.\n\nThis is especially true for vertical SaaS. Consider the example of an app for healthcare providers - the providers may want to automate SMS to patients when a prescription refill is available. Or you might have an app for property managers, and you need to let them email tenants when their lease is up for renewal. It’s a non-trivial lift to build this suite of tools, and it can end up taking engineering teams 6-12 months to implement, plus ongoing maintenance.\n\n**✨ Solution**\n\nDittofeed’s [Embedded Components](https://docs.dittofeed.com/embedded/getting-started) wrap up our existing open-source messaging automation so that they can be embedded within your own application.\n\nYou can consume these components using styled iframes, unstyled react components, or by using Dittofeed as a headless API to rebuild your own components from scratch.\n\nThese embedded components can be served by Dittofeed cloud, or by self-hosting Dittofeed. Self-hosting is great for highly regulated industries like health and finance.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/fd063652-db40-41f5-aaa5-ca4096131e2b)\n\n**How to get Embedded Components**\n\nContact [**support@dittofeed.com**](mailto:support@dittofeed.com), and we’ll send you an admin API key. Check out our Embedded Components [documentation](https://docs.dittofeed.com/embedded/getting-started) to learn more.\\\n\\\n🙋🏻‍♂️🙋🏽‍♂️ **The Founders**\\\nMax and Chandler have been friends since high school – 20 years and counting! They founded Dittofeed in 2023 with a mission to make a great open-source alternative to Klaviyo, Braze, and MailChimp.\n\n**Max** was previously a senior software engineer at OpenTable and Braze where he helped architect infrastructure that scaled their automated messaging services to billions of end users.\n\n**Chandler** was previously a marketing manager at Sony Music and various B2C startups where he became a power user of marketing automation software, seeing a need for change in the industry.\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/2be1b40c-c1a5-46eb-b75b-9b99d21a2104)\n\n![uploaded image](/media/?type=post&id=91935&key=user_uploads/917851/ff7093e7-2d18-455d-8bf9-7d92e6c17e55)\n\n",
        "url": "https://www.ycombinator.com/launches/Nup-dittofeed-embedded-messaging-features-for-your-saas",
        "votes": 13,
        "created_at": "2025-07-07T19:18:21.762Z"
      },
      {
        "id": 70363,
        "title": "Dittofeed - The first open-source customer engagement platform with developer tools",
        "tagline": "We’re building the world's first open-source customer engagement platform with a fantastic developer experience.",
        "body": "**Tl;dr**: Dittofeed is a developer-focused, open-source alternative to platforms like Iterable and Customer.io. Dittofeed’s streamlined developer experience allows growth engineers to send better-performing marketing messages. Additionally, self-hosting Dittofeed delivers large cost savings to power users who are constrained by existing providers’ volume-based pricing.\n\n—\n\nHi everyone, we’re Max and Chandler, and we're equipping the next generation of technical growth teams with the tools they need to ensure their marketing messages look great and get delivered correctly.\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/2732dae6-eed4-4b8e-99b7-88266c3aa80e)\n\n### **The Problem**: Customer engagement platforms are expensive and error-prone.\n\nIf you’ve ever received marketing emails with broken links, or opted out of a company’s texts, only to receive an “exclusive offer” text the next day, there’s a reason. And it’s not (for the most part) because growth teams are bad at their job.\n\nCurrent customer engagement platforms give growth teams the low-code tools they need to automate marketing messages at scale, but none of the technical tools they need to make sure they’re sending the right messages, to the right customers, at the right time. This results in reduced customer conversion and retention rates, as well as frustrated growth engineers.\n\n### **The Solution**: An open-source customer engagement platform that empowers growth engineers.\n\nGrowth teams are becoming increasingly technical, and with that, comes a huge potential for fixing buggy marketing messages. We’re building a future where growth engineers can finally version control email templates and test messaging automations in CI, and where, simultaneously, non-technical growth team members still have access to the low-code tools they’re comfortable with.\n\nUsing Dittofeed, you get industry-standard features like a drag-and-drop customer journey builder, a segmentation interface, and a web-based template editor, helpful for non-technical marketers. You ALSO get technical features like:\n\n* **git-based workflows** 😎\n* **a first-in-class testing SDK** 🤯\n* **an OpenTelemetry integration** 🥳\n* **a self-hostable platform** 🥹\n\nSet your growth engineers up for success. Retain more customers. Save money. Everyone wins!\n\n_Jest Test Example_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/36c3f478-9e0f-4494-a81c-6cf7c0ac4a60)\n\n_Journey Builder Example Workflow_\n\n![uploaded image](/media/?type=post&id=70363&key=user_uploads/917851/57a4c636-7de0-4849-a2cf-532f5a016bf0)\n\nCompanies using Dittofeed can:\n\n1. Save up to thousands of dollars a month by self-hosting, avoiding volume-based pricing.\n2. Reliably build high conversion, high-retention marketing campaigns.\n3. Make their growth engineers happier.\n\n### **Our ask**:\n\n🤩 Star us on [Github](https://github.com/dittofeed/dittofeed)\n\n🫱🏽‍🫲🏾 Connect us (Max & Chandler) with growth and marketing teams [via email](mailto:founders@dittofeed.com)\n\n🗓️ Schedule a [demo](https://calendly.com/d/zy7-8d5-jdq/dittofeed-demo-founders)\n\n💬 Contact us with any feedback! [max@dittofeed.com](mailto:max@dittofeed.com) / [chandler@dittofeed.com](mailto:chandler@dittofeed.com)",
        "url": "https://www.ycombinator.com/launches/IIt-dittofeed-the-first-open-source-customer-engagement-platform-with-developer-tools",
        "votes": 56,
        "created_at": "2023-03-16T22:49:31.527Z"
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    "website": "https://www.tailor.tech/",
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    "long_description": "Tailor is the headless ERP that gives fast-growing retail brands a composable, API-first platform to run operations with speed, flexibility, and control.\r\n\r\n🧱 Legacy ERP is too rigid: Systems like NetSuite and SAP take months (or years) to implement and break with every change. Tailor is modular, headless, and easy to adapt.\r\n🧩 Point solutions don’t scale: Tools like inventory or order management software solve one problem, but can’t talk to each other or keep up with growth.\r\n📊 Spreadsheets are everywhere: From demand planning to purchase orders, even $100M+ brands still rely on Excel. Tailor replaces duct-taped workflows with ops modules you can tweak, combine, or scale\r\n⚡️ Complex workflows need custom logic: Whether it's multi-location inventory, DTC + B2B orders, or light manufacturing (like kitting or lot tracking), Tailor supports flexible automations out of the box.\r\n👟 Operators can move faster: Launch backend modules in minutes, not months. Tailor's low-code tools let teams build, automate, and adapt without waiting on engineering or implementation agencies.\r\n\r\n\r\nBuilt for composable retail:\r\n- Headless backend with GraphQL APIs\r\n- 50+ integrations (Shopify, QuickBooks, 3PLs, etc.)\r\n- Custom automations via Pipelines, Functions, and Event Triggers\r\n- State machines for approvals and multi-step workflows\r\n- AI features like OCR and vector search built in\r\n\r\nTailor is already powering operations at fast-growing omnichannel brands and modern manufacturers.\r\nWe’re proud to be the first Japan-based company to join Y Combinator. \r\n\r\nLearn more at [tailor.tech](https://www.tailor.tech)\r\n",
    "one_liner": "Headless ERP for retail operations",
    "team_size": 40,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1654046243,
    "tags": [
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    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "East Asia",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tailor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/tailor.json",
    "year_founded": 2021,
    "city": "Tokyo",
    "country": "JP",
    "linkedin_url": "https://www.linkedin.com/company/76263236/",
    "x_url": "https://x.com/TailorERP",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tailor-a768",
    "github_url": "https://github.com/tailor-platform",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a820aa4b7b154f3af51351a25732f22fdf20d89.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 965414,
        "full_name": "Yo Shibata",
        "title": "Founder",
        "founder_bio": "Yo Shibata is co-founder/CEO of Tailor. Previously, Yo founded Smapo (Acquired by Rakuten, RetailTech), Shoppi (Acquired by IMJ, mobile app),  co-founded Funds (FinTech), and Watashikampo (HealthTech). Prior to being a serial entrepreneur, he worked for McKinsey.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yo-shibata-12742621/",
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        "user_id": 1013665,
        "full_name": "Misato Takahashi",
        "title": "Founder",
        "founder_bio": "Co-founder/CTO of Tailor, previously co-founder/CTO of Speee (TSE IPO in 2020), CTO of Spotlight (Acquired by Rakuten), engineer at Rakuten and GREE, and head of R4D, a research institute at Mercari.",
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        "linkedin_url": "https://www.linkedin.com/in/mistat/",
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    "jobs": [
      {
        "id": 93457,
        "title": "Senior Bilingual Software Engineer (English/Japanese) – West Coast (U.S.)",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/BFTH1SA-senior-bilingual-software-engineer-english-japanese-west-coast-u-s",
        "location": "US / Remote (US)",
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        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
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      },
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        "id": 99383,
        "title": "Full-Stack Software Engineer (Remote, US West Timezone Overlap)",
        "url": "https://www.ycombinator.com/companies/tailor/jobs/ab7OqFM-full-stack-software-engineer-remote-us-west-timezone-overlap",
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        "id": 111460,
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        "url": "https://www.ycombinator.com/companies/tailor/jobs/E8miCF1-associate-forward-deployed-product-manager",
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      {
        "title": "Y Combinator, Global Brain back Tailor, a Japanese headless ERP startup • TechCrunch",
        "url": "https://techcrunch.com/2022/09/05/y-combinator-global-brain-back-tailor-a-japanese-headless-erp-startup/",
        "date": "Sep 05, 2022"
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    "launches": [
      {
        "id": 91217,
        "title": "Tailor Omakase: Curated, Headless ERP for Fast-Growing Retail Brands",
        "tagline": "🛍️We help fast-growing retail brands replace rigid legacy systems, brittle point solutions and spreadsheet hell",
        "body": "Hello YC from Yo, Misato, and the team at Tailor 👋 We built Tailor as the headless ERP to replace monolithic, legacy tools — and today we’re launching Tailor Omakase. \n\n# **TL;DR**\n\nTailor Omakase is an opinionated, lightning-fast “ERP lite” for retail operators tired of rigid legacy systems, brittle point solutions and spreadsheet hell. \n\nSee how it works in this demo: [**https://youtu.be/tzSZw3MEIk0?feature=shared**](https://youtu.be/tzSZw3MEIk0?feature=shared)\n\n### **❌ The Problem: Retail ops software is stuck in the 90s**\n\nLegacy ERP software (think Netsuite and SAP) is rigid, monolithic, and difficult to implement and customize. This hits **retail operations** especially hard because of the industry’s unique operational makeup of supply chains, online marketplaces, and varying sales channels. \n\n![uploaded image](/media/?type=post&id=91217&key=user_uploads/965414/c28e51ee-4b3f-4f22-80b3-8ac011720893)\n\nRetail operators basically must choose between:\n\n* **Legacy ERP**: Bulky, monolithic systems that take several months or years to implement.\n* **Point solutions that don’t scale**: Tools for inventory, order management, or light manufacturing can solve short-term pain but aren’t API-first and break easily ops need to scale.\n* **Spreadsheets or homegrown**: Even fast-growing brands run core ops on Google Sheets, Airtable, or in-house tools held together by duct tape.\n\n \n\n### **✅ The Solution: Tailor Omakase**\n\n**Tailor Omakase** is a curated, customizable ERP lite built for fast-growing retail brands. It helps operations teams manage purchasing, inventory, and orders across DTC, wholesale, and 3PL — without needing a full-time ERP admin, multi-year contracts, or expensive agency support.\n\n[Product Demo](https://youtu.be/tzSZw3MEIk0)\n\n🟣 **Fast to deploy:** Launch your first module in weeks — not months or years — with preconfigured views for purchasing, inventory, and order workflows \n\n🟣 **API-first & low-code:** Seamlessly integrate with any tool like Shopify or ShipStation, or easily build custom modules.\n\n🟣 **Flexible**: Don’t change your operations to accommodate your software. Whether you're juggling DTC + wholesale orders or creating products in-house, Tailor’s modular and headless architecture adapts to you.\n\n🟣 **Modern UI**: An intuitive frontend that ops teams love to use, plus the flexibility to ship beautiful customer-facing experiences \n\n**HubSpot** filled a gap for SMBs who couldn’t compete with **marketing** from enterprise giants using enterprise tools and budgets. **Tailor Omakase** does the same for **retail and ecommerce brands** when it comes to **operations**.\n\n### **🔧 What’s under the hood**\n\nTailor Omakase runs on the same powerful [platform](https://www.tailor.tech/platform) we use to build internal tools and custom workflows for global enterprises.\n\n* **Instant CRUD APIs**: Generate GraphQL/REST APIs from schema definitions in seconds, complete with validation, filtering, pagination, and relationships.\n* **Composable backend**: Launch headless apps with custom logic, workflows, and event triggers without writing boilerplate code.\n* **50+ pre-built integrations**: Seamlessly connect to Shopify, QuickBooks, 3PLs, and more using Tailor’s API-first architecture.\n* **Automation-ready**: Use Pipelines, Functions, and Event Triggers to automate business logic and cross-system workflows.\n* **State machine support**: Handle complex approval flows and record-level transitions using schema-defined states.\n* **AI-native tools**: Enable vector search, parse documents with OCR, and integrate LLMs from OpenAI, Anthropic, or open-source models like Llama.\n* **_Coming soon —_** **_Fabrix_**: Auto-generate UI components from GraphQL schemas using Tailor’s open-source framework, Fabrix\n\n### **🏅 Our early customers**\n\n* A strategic textile supplier to a $20B+ global clothing retailer\n* A Japan-based hospitality company generating nearly $1B in annual revenue\n* A custom jewelry company growing sales across Shopify, Pinterest, Etsy, TikTok and Amazon\n\n### **🙏 Asks**\n\nKnow a **retail brand** trying to scale operations and growth? Send them our way at [yo@tailor.tech](mailto:yo@tailor.tech) or [patrick@tailor.tech](mailto:patrick@tailor.tech), share this post or book a demo [here](https://www.tailor.tech/demo)!\n\n🎁 We’re offering Tailor Omakase **free for the first year** (core modules) to any company that mentions they heard about us from YC.\n\nTailor Omakase is especially helpful for:\n\n* Companies **managing inventory** and orders in spreadsheets or Airtable\n* **Shopify** stores selling both DTC and wholesale/B2B\n* **Light manufacturing** or **kitting** **operations** (think skincare, make-up, customizable apparel/jewelry, made-to-order products)\n* Teams using **QuickBooks** that need better financial visibility into COGS, PO, or inventory",
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        "created_at": "2025-06-11T14:07:08.560Z"
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    "name": "Bunting Labs",
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    "long_description": "Bunting Labs researches and develops custom AI models for surveying and GIS.",
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        "full_name": "Michael Egan",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-egan-4941a4145/",
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        "user_id": 572884,
        "full_name": "Brendan Ashworth",
        "title": "Founder",
        "founder_bio": "Brendan studied physics + AI at MIT ('22). Previously: Software @ IBM, Minio, Node.js core team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brendanashworth/",
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        "id": 102299,
        "title": "GIS Technician ",
        "url": "https://www.ycombinator.com/companies/bunting-labs/jobs/4LB2UmX-gis-technician",
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        "type": "Contract",
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      {
        "id": 99155,
        "title": "CodeCanary 🐤 Your AI Product Engineer",
        "tagline": "CodeCanary uses session replays to fix bugs, boost conversion, monitor leads and customers, and answer any question.",
        "body": "CodeCanary connects coding agents to your product analytics to find and fix bugs, improve conversion, track leads and customers, and answer anything about your product. CodeCanary runs autonomously and lives in Slack. \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/893e9400-0075-43e6-ae0b-f3fc42a3d1a6)\n\n# Problem\n\nYour product analytics are a rich source of information, but it’s hard to always be getting the most out of them. There are not enough hours in the day to watch every session replay, catch every bug your users face, and always be running experiments on your bottlenecks. \n\n# Solution\n\nCodeCanary is [always watching your product](https://www.codecanary.ai/blog/watching-session-replays-with-ai) to see where it can help. For example, CodeCanary:\n\n1\\. Spots users who interact with bugs, looks through your code for the cause, and submits a PR with a fix. It also can tell you who was impacted.\n\n\\\n2. Identifies conversion bottlenecks, creates A/B experiments, and submits the variant as a PR. CodeCanary can also run low-risk experiments on autopilot directly on your website without any human oversight, as desired.\n\n3\\. Tracks and reports back on high value prospects, however you define them.\n\n\\\n4. Answers any other questions you might have about your users and how they interact with your product (e.g. \"in the reduce landing page interactivity experiment can you please break down the demo booked results by device type?\").\n\n# Try CodeCanary\n\nYou can sign up for CodeCanary here! <https://www.codecanary.ai> \n\n![uploaded image](/media/?type=post&id=99155&key=user_uploads/786838/424e65f8-a2a4-4871-b442-75d9f2b3ecbf)\n\n",
        "url": "https://www.ycombinator.com/launches/PnH-codecanary-your-ai-product-engineer",
        "votes": 8,
        "created_at": "2026-03-28T16:11:44.647Z"
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      {
        "id": 91491,
        "title": "Mundi 🗺️ The Open Source GIS Built for AI",
        "tagline": "Mundi is the first GIS designed for users to collaborate with an AI agent",
        "body": "# Mundi, the first open source, AI-native GIS\n\nMundi is an open source web GIS built to help people use LLMs in their geospatial work. In Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/49388e35-2edf-4711-8aa7-f22aed832b08)\n\n# Here’s how Mundi is bringing AI to GIS:\n\n**Mundi makes PostGIS much more accessible 📂** \\\n\\\nWhen you connect a PostGIS database to your project, Kue digests it and builds you a wiki to better understand its contents and how everything relates together. Then, if you want to add some data, all you have to do is tell Kue what data you want and it will figure out what is best and add it to your project.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/585270c1-b025-4ebf-953d-09a0aef2417f)\n\n\\\n**You can run QGIS geoprocessing in the cloud ⚙️**\\\n\\\nKue has access to all of the QGIS geoprocessing algorithms so you get the power of a desktop GIS with the power of cloud processing. All you have to do is tell Kue what you want done with your data and it will pick the right geoprocessing algorithm, run it, and give you the output. And, because it’s run in the cloud, it’s much faster and does not need a powerful computer.\\\n\\\n**Mundi can edit symbology for you 🎨** \\\n\\\nKue has the ability to change the symbology of your data in any way you want. If you have a specific request, it can handle it for you. Or, if you want Kue to decide how a layer should be styled, we’ve given it the ability to “see” symbology and iterate on what to improve. So, if you have a drought layer, Kue can understand that it should be a red gradient, see how it’s styled, and make improvements until Kue is satisfied.\n\n![uploaded image](/media/?type=post&id=91491&key=user_uploads/786838/7074999f-e6f5-42f0-9516-b5d07e176e94)\n\n**You can work with your whole team on Mundi 🤝** \\\n\\\nWe’re building Mundi to allow you to edit maps with your whole team and send viewable links to anyone who wants to see it. Since we built Mundi to make it easier for anyone to make maps, we wanted to make it easy for all these new mappers to work together.\n\n**We’ve made it open source 🐧** \\\n\\\nIn addition to hosted Mundi, we’re launching an open source version. If you want to try out AI locally or change Mundi to your exact needs (an exciting trend we saw at the QGIS user conference), we wanted to be sure that this was an option.\n\n### How to try mundi:\n\nYou can sign up for Mundi at [app.mundi.ai](http://app.mundi.ai) and read the docs at [docs.mundi.ai](http://docs.mundi.ai)!\n\nIf you want to see the open source version, you can find it here: https://github.com/BuntingLabs/mundi.ai",
        "url": "https://www.ycombinator.com/launches/Nnf-mundi-the-open-source-gis-built-for-ai",
        "votes": 10,
        "created_at": "2025-06-21T01:04:41.033Z"
      },
      {
        "id": 65769,
        "title": "Bunting Labs 🐦 No-code geospatial data pipelines",
        "tagline": "Meet Bunting, the easiest way to work with geospatial data",
        "body": "**TL;DR Bunting helps developers import, store, and analyze geospatial data. We replace months of writing Python scripts with our drag-and-drop data importer.**\n\nHi everyone! [Brendan](https://www.linkedin.com/in/brendanashworth/) and [Michael](https://www.linkedin.com/in/michael-egan-4941a4145/) here to introduce [Bunting Labs](https://buntinglabs.com).\n\n🗺 **Problem**\n\nIf you want to implement spatial data into your software, you need to use a spatial database. But, because spatial data is heterogenous, creating the ETL scripts, cloud infrastructure, and analysis pipelines to use it takes months—something we saw ourselves.\n\nWe spent a year trying to analyze real estate with AI, and the first three months were dedicated to building these data pipelines. We realized every company that wants to use spatial databases suffers from the same problems.\n\n**🔧 Solution**\n\nWe handle the pipeline and the database for you. Behind the scenes we do all the leg work to work with spatial data so you can focus on building your product. For example, we automatically [convert addresses in CSVs into a PostGIS table via geocoding](https://buntinglabs.com/flows/import-csv-geocode-into-postgis). Here’s how managing spatial data on bunting would look like for you:\n\n1. Upload any data file, and we’ll automatically recognize how it relates to the Earth. We currently support [KML](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [CSV](https://buntinglabs.com/flows/import-csv-geocode-into-postgis), [GeoJSON](https://buntinglabs.com/flows/importing-geojson-files-into-postgis), [GeoPackage](https://buntinglabs.com/flows/upload-geopackage-contents-to-postgis), and [Excel](https://buntinglabs.com/flows/load-excel-file-into-postgis).\n2. We’ll save it to a managed PostGIS instance (on Amazon RDS) and give you SELECT permissions to your tables.\n\n![uploaded image](/media/?type=post&id=65769&key=user_uploads/786838/6daa1005-b597-472c-90ad-b16067886c47)\n\nComing soon: low-code spatial analysis tool and purpose-built spatial data labeling. Everything you need to build an app with spatial data.\n\n**👉 Ask**\n\nDo you work with spatial data and are willing to share your experiences? Shoot us an email at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to talk.\n\nDo you work at a company that is working on implementing or wants to implement any spatial features? Email us at [founders@buntinglabs.com](mailto:founders@buntinglabs.com), we would love to work with you to do whatever it takes to make your vision a reality!\n\n**💻 Open Source**\n\nBunting is built on open source and sponsors development of [mundipy, a Python framework for geospatial data](https://docs.mundi.ai/).",
        "url": "https://www.ycombinator.com/launches/H6n-bunting-labs-no-code-geospatial-data-pipelines",
        "votes": 62,
        "created_at": "2022-09-01T14:38:28.498Z"
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        "user_id": 129850,
        "full_name": "Logan Frederick",
        "title": "Founder",
        "founder_bio": "Logan is the founder of Ruleset. He previously built a $50mm lending business at Regional Finance, worked as a software engineer at JPMorgan Chase, and at the YC company Bluecrew. He received a degree in Computational Economics from Ohio State University.",
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      {
        "user_id": 155094,
        "full_name": "Zheng Hao Tan",
        "title": "Founder",
        "founder_bio": "Zheng is the founder of Cellulose. Prior to that, he worked on several engineering problems throughout his career ranging from full stack + firmware engineering for Internet of Things (IoT), to machine learning platforms and deployment workflows for Artificial Intelligence in autonomous vehicles (Cruise). He earned a degree in Computer Engineering from the University of Michigan.",
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        "id": 65156,
        "title": "Ruleset - No-Code Decision Engine for Lenders",
        "tagline": "We empower risk and legal teams to set rules for who gets a loan, without requiring engineering.",
        "body": "Hey all, we’re Logan and Zheng building [Ruleset](https://ruleset.ai)!\n\n## **❌ The Problem and Why It Matters**\n\nFinancial firms have a decision process that determines who qualifies for a loan or not. Even firms using machine learning only have the ML model as one step.\n\nThe problem is that these rules are defined by Risk and Legal teams. However, they are implemented by engineers who don’t fully understand them, and getting them wrong costs companies millions.\n\n## **⚙️ How It Works**\n\nWe provide a drag-and-drop interface which makes it easy to create a decision workflow from a basic building blocks. These “rule” components can read/write from data sources, do calculations, and fork data paths for different outcomes. For our customer’s tech teams, integrating a Ruleset into their systems (to display the results on their website) should be as easy as plugging in Stripe.\n\n![uploaded image](/media/?type=post&id=65156&key=user_uploads/129850/0f7339ff-c5d5-45d7-a16c-050c4bc9af9f)\n\n## ❓**Why Are We Working on This?**\n\nThe idea clicked when I was recently at Regional Finance (NYSE: RM) launching new online lending products. I experienced this problem alongside our Risk and Legal teams, where an evaluation of existing vendors didn’t find one which could quickly and easily solve our issues. Zheng and I previously worked together for two years at a Series A startup and knew we could build the right solution.\n\n## **🙏 The Ask**\n\nIf you or someone you know works in Risk, Legal, or Operations at a financial firm, or if you’ve tried other decision workflow tools and they didn’t solve your problem, shoot me an email at [logan@ruleset.ai](mailto:logan@ruleset.ai) and I’d love to discuss how we can help!",
        "url": "https://www.ycombinator.com/launches/Gwu-ruleset-no-code-decision-engine-for-lenders",
        "votes": 37,
        "created_at": "2022-08-05T17:12:25.250Z"
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    "id": 26716,
    "name": "erad",
    "slug": "erad",
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    "website": "https://erad.co/",
    "all_locations": "Riyadh, Riyadh Province, Saudi Arabia",
    "long_description": "erad provides startups in the Middle East with non-dilutive growth capital. Connect your sales, marketing and banking data and receive an offer within 48 hours. Get access to key insights and analysis about your business.",
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    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1653900418,
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        "full_name": "Faris Yaghmour",
        "title": "Founder",
        "founder_bio": "Accidentally launched my first business, a coffee e-commerce store, with my current co-founder Salem, 6 years ago! Then stumbled into the Financial services world and spent 4 years learning about product and operations in retail & corporate banking. I then joined a BNPL startup before founding erad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/farisyaghmour/",
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        "title": "erad raises $2.4m in Pre-Seed",
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      {
        "id": 65346,
        "title": "erad - Non-dilutive funding and payments for online businesses in the Middle East",
        "tagline": "We’re on a mission to grow the digital economy in the Middle East 🚀 ",
        "body": "Hey everyone 👋 \n\nThis is [Salem](https://www.linkedin.com/in/salem-abu-hammour-8717a6100/), [Faris](https://www.linkedin.com/in/farisyaghmour/), and [Youssef](https://www.linkedin.com/in/saidyoussef/) from erad. We are excited to share with you what we are building.\n\n**🤔 The Problem**\n\nOnline businesses face a capital problem with limited funding options. Equity is dilutive and debt requires assets and collateral that most online businesses do not have.\n\n**💡 The Solution**\n\nerad provides payment processing and non-dilutive funding to online businesses in the Middle East. We underwrite these businesses by accessing their accounting, sales, payments, and marketing data. \\\nOur process involves connecting to your systems and offering you financing in 48 hours. We automate repayments by processing your online payments.\n\n![](https://lh4.googleusercontent.com/cnoTXYLdFmVyHrMEKmtnjGvyZWEYq7aE88wSJ8n52N-uHOh7BIeNn7p2LzQ9fod_Jqb6aM1oElceC_SURl5v398hT5eMCyGkVG6MWIYtpJjFDrCUY6Kre6T_qWgDqeYbFzTgMrHoK-wKFqjl5Jyvrvo)\n\n**🕑 Our Backstory**\n\nBefore launching erad, we owned an online business that we sold due to the lack of capital. We then worked in banking, M&A and built enterprise e-commerce programs in the Middle East.\n\nLooking for alternative funding sources for your online business in the Middle East - [**Talk to us!**](https://calendly.com/d/dnn-tfb-wbn/erad-demo)",
        "url": "https://www.ycombinator.com/launches/Gzy-erad-non-dilutive-funding-and-payments-for-online-businesses-in-the-middle-east",
        "votes": 19,
        "created_at": "2022-08-13T17:06:42.461Z"
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    "id": 26717,
    "name": "Blitz",
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    "website": "https://www.blitznocode.com/",
    "all_locations": "Porto, Porto District, Portugal; Remote",
    "long_description": "Blitz is a no-code platform to build internal applications and automate manual tasks. Quickly build a database, integrate your logic, and scale your operations. \r\n\r\nAlternative to Google Sheet and Airtable, Blitz is not limited by a number of lines of records or by an API rate. \r\n\r\nCreate your data model and set up data validation rules. Use our interface builder to create dynamic forms, and quickly onboard customer and partners. Leverage our granular permissions to share data to external users (publicly or privately). Add advanced business logic to your forms and portals, without writing any line of code. The experience is similar to creating spreadsheets, but without their limitations in terms of scalability and security. \r\n\r\nYou can use Blitz to build an onboarding flow, an order management system or some validation workflows for compliance purposes. \r\n\r\nStop using developer resources or rigid SaaS software. Start building your own tools, adapted to your needs, with Blitz. ",
    "one_liner": "Lovable for non-tech users: Build no-code internal and customer apps",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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    "year_founded": 2022,
    "city": "Porto",
    "country": "PT",
    "linkedin_url": "https://www.linkedin.com/company/blitznocode/",
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      "name": "Nicolas Dessaigne",
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        "user_id": 879481,
        "full_name": "Loic Veillard",
        "title": "Founder",
        "founder_bio": "Founder and CTO of Blitz. \n\n💻 Product Manager and Full Stack Developer\n📈 Experience at 2 unicorn scaleups (PayFit & Meero) and Corporate (L'Oréal, Amazon, Airbus)\n🆕 Launched PayFit Spain and recruited the funding team\n🤼 Lead 5 squads and 25 developers at Meero \n🔀 Worked as a freelancer CTO & CPO for fintech, edtech and web3 companies\n\n",
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        "id": 64760,
        "title": "⏩ Blitz - Build internal apps with zero code",
        "tagline": "Stop using spreadsheets or developer resources, and start scaling your operations! ",
        "body": "We make it easy to structure and automate very manual processes - such as onboarding a new partner or resolving customer tickets. \n\nHi everyone!\n\nWe’re Clement and Loic, the co-founders of [Blitz,](https://blitznocode.com/) and we are super excited to announce the release of [our closed beta](https://www.blitznocode.com/signup)!\n\n### **The problem**\n\nBuilding internal tools is broken. Many no-code tools have tried to address that issue, enabling developers to code faster or helping end users build web applications on top of Google Sheets or Airtable.\n\nBut let’s face it: they don’t work, and the result is always the same: operations teams go back to spreadsheets.\n\n### **Our solution**\n\nBlitz is a no-code platform to build internal apps and workflows on top of a flexible database—so that:\n\n1. **developers** can focus on developing user-facing features, and don’t have to build and maintain back-office applications anymore\n2. **product managers** have now the capabilities to build internal apps with no tech resources\n3. **operations teams** never have to do the same manual task over and over again\n\n![uploaded image](/media/?type=post&id=64760&key=user_uploads/813313/a34fc140-8bf9-48d3-8fef-fab0051bbad1)\n\n**Blitz relies on 3 main pillars:**\n\n1. **a reactive database**—design your data model and integrate your business\n2. **an interface designer**—create internal apps using pre-built templates and reusable components\n3. **a workflow builder**—set up backend or frontend triggers with conditions to automate actions\n\n### **Our ask 🙏**\n\n1. **Sign up** to our beta: <https://www.blitznocode.com/signup>\n2. **Share** this post! Please help spread the word, and let’s change the way business apps are built and used.\n3. **Connect us** with operations-intensive teams at fast-growing companies (fintech, marketplaces, e-commerce, healthcare…)\\*\n\n   _\\* copy & paste this blurb:_ Second employee at Aircall and ex-PayFit product lead are developing a [no-code app](https://www.blitznocode.com/) to build internal tools and automate manual operations. Check them out and contact [founders@blitznocode.com](mailto:founders@blitznocode.com) for more.",
        "url": "https://www.ycombinator.com/launches/GqW-blitz-build-internal-apps-with-zero-code",
        "votes": 70,
        "created_at": "2022-07-20T13:39:28.514Z"
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    "id": 26720,
    "name": "TrueBiz",
    "slug": "truebiz",
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    "website": "https://truebiz.io/",
    "all_locations": "Miami, FL, USA; New York, NY, USA; Remote",
    "long_description": "TrueBiz helps financial service providers reduce manual review during business onboarding.\r\n\r\nWe add color to the company's background with 250+ data points on the company from around the web (such as industry and address), and summarize key risk indicators.\r\n\r\nThe process takes seconds – not days, so financial service providers can efficiently meet risk requirements and onboard new businesses faster.",
    "one_liner": "Instant Background Checks for Businesses",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1653081454,
    "tags": [
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      "B2B",
      "Identity",
      "Regtech"
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      "America / Canada",
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    "url": "https://www.ycombinator.com/companies/truebiz",
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    "year_founded": 2022,
    "city": "Miami",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/truebiz-inc",
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      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 156422,
        "full_name": "Danny Hakimian",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dannyhakimian",
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        "id": 95567,
        "title": "Senior Software Engineer, Core Team",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/XkFCIG0-senior-software-engineer-core-team",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $180K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104922,
        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/t99tSBy-head-of-sales",
        "location": "US / CA / Remote (US; CA)",
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        "id": 104923,
        "title": "Growth Lead, Enterprise Outbound",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/4H4zIAD-growth-lead-enterprise-outbound",
        "location": "US / CA / Remote (US; CA)",
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        "id": 106783,
        "title": "SDR Manager, Enterprise Outbound",
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    "news": [
      {
        "title": "TrueBiz aims to help financial services providers onboard business customers faster, avoid fraud • TechCrunch",
        "url": "https://techcrunch.com/2023/01/31/yc-alum-truebiz-raises-2-4m-to-help-financial-services-providers-onboard-business-customers-faster-avoid-fraud/",
        "date": "Jan 31, 2023"
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      {
        "id": 64085,
        "title": "TrueBiz - Reduce Dropout During KYB",
        "tagline": "TrueBiz helps fintechs onboard business accounts faster by automating the processing of documents & data for KYB",
        "body": "# What We Do\n\nTrueBiz verifies business identity by combining the processing of company documents, together with searches in best-in-class data sources.\n\n# Who Has This Problem\n\nFinancial services companies onboarding business accounts often **revert to manual review because existing data sources can not provide a complete picture of the business.**\n\nAs a result, companies often rely on the business to provide supporting documentation — which is then manually reviewed. During the process they might review:\n\n* An Articles of Incorporation to verify business identity\n* A By Laws document to verify the shareholder structure\n* An invoice to validate the nature of the business\n\nThe back and forth to capture the correct documents can go on for weeks. **This slows down onboarding and creates a frustrating customer experience.**\n\n# How TrueBiz Solves KYB\n\nTrueBiz validates the different documents required for each step of the verification process. This is combined with searches in best-in-class data sources. This range of tools enables our clients to convert more customers, with less effort.\n\n![uploaded image](/media/?type=post&id=64085&key=user_uploads/156422/f72085b1-1265-4782-8183-a68c792b9f90)\n\nFor our clients, this results in:\n\n1. **Speed up time to activation:** we validate documents in seconds, preventing a slow back-and-forth to capture the correct paperwork. This shaves days off revenue realization.\n2. **Reduce manual review:** we help identify the \\~10% of cases that actually need further attention. You can redeploy the majority of your human analysts’ time and skill elsewhere.\n3. **Scale:** we remove friction from the onboarding process, so you can grow faster.\n\nOur process takes seconds – not days, so Financial Institutions can efficiently meet Know Your Business requirements and onboard new businesses faster.\n\n# Book a demo\n\nIf you’re a fintech looking to optimize your business onboarding process, [schedule a demo here](https://calendly.com/dannyhak/truebiz-demo?month=2022-06).",
        "url": "https://www.ycombinator.com/launches/Gfd-truebiz-reduce-dropout-during-kyb",
        "votes": 24,
        "created_at": "2022-06-26T23:51:25.936Z"
      }
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  },
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    "id": 26723,
    "name": "CustomerOS",
    "slug": "customeros",
    "former_names": [
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    "website": "https://customeros.ai",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "CustomerOS uncovers high-fit leads who are engaging directly with your brand but not yet in your sales funnel. By lead scoring your pipeline against your ICP we build data-driven profiles of your best customers and provide a real-time ICP-fit indicator so your team doesn't waste time on low-value/high-cost leads. This ensures you're spending your CAC acquiring customers who are primed to renew year after year and expand as they grow.\r\n\r\nThe Top 10% of SaaS companies generate 87% of all market returns. CustomerOS gives you the data and tooling to compete with the top 10%.",
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    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1657624994,
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      "Sales",
      "Marketing",
      "Advertising",
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
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    "regions": [
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    "year_founded": 2021,
    "city": "London",
    "country": "GB",
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        "full_name": "Matt Brown",
        "title": "Founder",
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        "full_name": "Vasi Coscotin",
        "title": "Founder",
        "founder_bio": "Vasi is a technical and people leader having 10+ years of experience building complex distributed systems developed and managed by distributed teams all over the globe. Vasi started in software for education sector, then tried to build a couple of startups that failed. Joined Voxbone for a 7 years jurney to scaled up the systems and the tech teams to support the accelerated growth from a start-up to a global communication network that is behind most used communication platforms. ",
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        "founder_bio": "Founder @ CustomerOS. Jonty is a natural tech leader, after cutting his teeth closing $1B+ contracts with BT while at Huawei, he went on to build several product and tech teams in the communications space that built $100M's of value. Prior to founding CustomerOS, he exited Voxbone in a $500M+ acquisition by Bandwidth, and then set fintech startup Otto on the path to success, being selected for Sequoia Arc's first ever batch in 2022.",
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      {
        "id": 94089,
        "title": "CustomerOS – Uncover hidden pipeline that actually converts",
        "tagline": "The only B2B platform that tells you who to target, how to win, and what actually converts",
        "body": "Most top prospects never fill out forms, making them invisible until it’s too late. \n\nCustomerOS uses a team of AI-agents to identify and score leads based on their behavior, alerting sales with the right messaging at the right moment. It automatically builds your ideal customer profile, tracks buyer intent in real-time, and provides actionable insights for SDRs and decision makers.\n\nhttps://youtu.be/Cru5GSrRfHQ\n\n### The Team\n\nWe’re Matt & Jonty, the team that helped build Voxbone to a $519M exit and we’re now building the GTM platform we wish we’d had. We’re backed by Y Combinator, Seedcamp, Crane, and Cocoa.\n\n### The Problem\n\n**92% of your best leads don't fill out forms.**\n\nThey do deep research, and show real buying intent, but we never know who they are until it’s too late. By the time we realize they were interested, they’ve already signed with someone else who actually saw them coming.\n\nMeanwhile your SDR drowns in unqualified “MQLs” that will never close.\n\nCustomerOS solves this problem.\n\n### Our Solution\n\nCustomerOS surfaces high-fit leads that are actually evaluating your product in real-time. It scores buying stage and intent from their behavior and alerts sales with content and messaging to share at exactly the right moment to drive deals forward.\n\nWith CustomerOS you have a squadron of purpose-built AI agents, engineered to \n\n1. Outsmart your competition\n2. Accelerate your pipeline\n3. Turn every touchpoint into revenue firepower\n4. Help SDRs focus on the leads that actually convert\n\n### Here’s How it Works\n\n### Your Ideal Customer Profile\n\nCustomerOS automatically generates your ICP based on your website, content, and existing customers.  Then we score every lead  based on how well they fit your ICP.\n\nOnly high-fit leads make it into your pipeline so you don’t waste time on prospects who are never going to convert.  Everything on your screen is a qualified lead we actually WANT to close.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/0508be1e-076a-4b1a-87b6-073b8d7ed078)\n\n### See Who's Ready to Buy\n\nWith our easy-to-setup web tracker, you can follow each lead's intent in real time. This allows you to know where they are in their journey and who’s ready to buy.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/861fca57-630d-4eab-ab5b-f22ae5cbe953)\n\n### Competitive Intelligence for SDRs\n\nEach lead comes with tailored battle cards showing how big the opportunity can be, who else they’re likely evaluating, and what we need to do to win.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/bf890845-4aeb-4f3e-b770-d5ad51ae7287)\n\n### Insights for Decision Makers\n\nWe automatically pull together insights from your lead behaviour, content engagement, and ad spend, and turn them into strategic recommendations that show decision-makers exactly where to double down and what to cut.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/51b3828a-21e3-43f1-a1d2-3e8993be5122)\n\n### Our Ask\n\n* Introduce us to a B2B VP of Marketing, or Head of SDR who would like to build a repeatable, high quality lead pipeline.\n* Try the **Estimate my leads** tool and see how many ICP fit prospects are already evaluating you anonymously.\n* Book a walkthrough.  Most customers book their first meeting in under a week.\n\n \n\n**See who’s ready to buy right now at** [customeros.ai](http://customeros.ai)\n\n### Proof\n\nOne of our early users put it simply:\n\n> This thing prints meetings. We had two in the first two days, a third within the week, and more are lining up. The rest of the SDR team was fighting over access because the conversations were so easy and the close rate was so high.\n\nBacked by **Y Combinator, Seedcamp, Crane, and Cocoa**, CustomerOS is built to solve the problems every GTM team faces.\n\n### Why Now\n\nThe traditional lead generation infrastructure is crumbling due to privacy changes, AI cannibalization of search traffic, and the evolution of enterprise buyer behavior, making Pipeline Blindness a permanent competitive disadvantage. \n\nEarly adopters are building intelligence moats through superior lead identification that get stronger with every qualified visitor.\n\nThe gap between companies with lead intelligence and those without is widening rapidly and becoming permanent - every day without this capability allows competitors to capture prospects you can't even see. \n\nOnce the intelligence gap becomes permanent, no amount of marketing spend can close it.\n\n![uploaded image](/media/?type=post&id=94089&key=user_uploads/995798/3ae9386c-ab02-44b0-9d20-06cfa1f67dc5)\n\n",
        "url": "https://www.ycombinator.com/launches/OTZ-customeros-uncover-hidden-pipeline-that-actually-converts",
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        "created_at": "2025-09-24T14:15:27.231Z"
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    "name": "ilumadata",
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    "website": "https://www.ilumadata.io/",
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    "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.",
    "one_liner": "Confidently ship analytics code faster with fewer errors",
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    "subindustry": "B2B -> Analytics",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ilumadata.json",
    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/ilumadata",
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        "user_id": 1006154,
        "full_name": "Luke Singham",
        "title": "Founder",
        "founder_bio": "Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.",
        "is_active": false,
        "linkedin_url": "http://linkedin.com/in/lukesingham",
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        "id": 64710,
        "title": "ilumadata - Confidently ship analytics code faster with less errors",
        "tagline": "ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with fewer errors",
        "body": "Hey YC,\n\nWe’re [Luke Singham](https://www.linkedin.com/in/lukesingham/) and [Matt Sutton](https://www.linkedin.com/in/matthew-sutton-02290984/), co-founders of [ilumadata](http://ilumadata.io).\n\nilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.\n\n## 🤓 Who is it for?\n\nData teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.\n\n## ❓The ask + can I try it?\n\nIf you fit this 👆category or know someone who does, we’d love to talk to you!\n\nEmail us at [founders@ilumadata.io](mailto:founders@ilumadata.io) or request a demo at [ilumadata.io](http://ilumadata.io)\n\n## 😩 The problem - why we built ilumadata\n\nAt Monzo, I experienced a growing number of pains as we scaled the data team:\n\n* Onboarding new team members took days to weeks\n* Debugging broken pipelines took hours to fix because information was hard to piece together\n* It was hard to know the impacts downstream of changes you made\n* Difficult to know who owns the data, who uses it or if it is even used at all\n\n## ✅ The solution\n\nilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:\n\n* Onboard new team members in under 60 seconds with a cloud hosted environment.\n* Learn, manage, version control, validate and test your pipeline in one workspace.\n\n  ![uploaded image](https://www.ilumadata.io/img/demos/modify-pipeline.gif)\n\n* Mock out pipeline architecture like you would in a flow chart tool, with code you can use!\n\n  ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/8359ad36-b8a2-4985-9f4d-396a3b54062f)\n\n* Debug, optimise and resolve your pipelines issues, fast.\n\n  ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/29a51ad9-2ba1-4ee0-b44d-9377c600eeba)\n\n",
        "url": "https://www.ycombinator.com/launches/Gpi-ilumadata-confidently-ship-analytics-code-faster-with-less-errors",
        "votes": 24,
        "created_at": "2022-07-18T21:37:33.587Z"
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    "name": "Champ",
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      "Mocke"
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    "all_locations": "San Francisco, CA, USA; Remote",
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    "one_liner": "AI SDR",
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    "country": "US",
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      {
        "user_id": 675671,
        "full_name": "Matt Sun",
        "title": "Founder",
        "founder_bio": "Revenue infrastructure, engineered with AI to compound upside. My team provides embedded GTM engineering service by YC founders and former sales leaders — designing and shipping the enrichment, campaigns, and CRM automation that turn manual busywork into predictable pipeline for revenue growth that compounds.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/thisismattsun/",
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      },
      {
        "user_id": 1047794,
        "full_name": "Daniel Wasserlauf",
        "title": "Founder",
        "founder_bio": "Hacker, Software enthusiast. \n\nSend me cool projects or bits of code you like! \nhttps://github.com/twosdai ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/daniel-wasserlauf-b12681101/",
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      {
        "id": 98226,
        "title": "Mocke, Cold Email AI Agent",
        "tagline": "Cursor for cold email, with lead research and personalization at scale",
        "body": "Hey, it's Matt here. Really excited to launch Mocke today, because it has been a wow moment for ourselves and beta users. Can't wait to share it with everyone who writes cold email.\n\n# TLDR;\n\nMocke is an AI agent for cold email. It works like Cursor for development. Mocke collapses hours of cold email writing into seconds and conducts deep research on each lead to deliver completely personalized messaging at scale.\n\nTry Mocke here <https://mocke.co/>. No account is needed; just enter your website to see the cold email you are going to love in 60 seconds.\n\n# **The problems we are solving**\n\n### The 0.1 → 1 Problem\n\nEven though everyone now has access to ChatGPT, crafting effective cold emails still requires significant time and effort. Here's the typical experience of someone writing cold emails:\n\n1. ChatGPT provides a first draft in 5 seconds, which looks decent.\n2. The user then spends time refining the phrases, CTA, subject line, messaging, and final touches. This process can take an hour or even several hours until they feel comfortable sending out the emails.\n\nThe challenge is rather the effort needed to refine the draft for production, because no one feels comfortable taking the 1st drafted email from ChatGPT and send to real leads. Therefore, I refer to this problem as the 0.1 to 1 problem.\n\n### The personalization with deep research\n\nChatGPT is a commodity that everyone already has access to. So, writing a good cold email is no longer sufficient to get meaningful returns from campaigns. Relevance has already become the #1 indicator for a high reply rate. However, there are no effective tools available for conducting in-depth research on each lead and crafting personalized, unique emails for every individual.\n\nIn the market, many AI sales tools attempt to build rapport in cold emails by referencing LinkedIn activities, such as congratulating someone on a promotion or mentioning a recent post. However, leads can quickly recognize poorly generated personalization in these outreach efforts, which often lack genuine relevance. This undermines trust and reduces interest.\n\n# **The solution - Mocke: your cold email AI agent**\n\nMocke is a Cold Email AI agent that functions like Cursor. It reduces hours of cold email writing and deep personalization to just 60 seconds, delivering thousands of unique email messages that leads will love instantly. While it works alongside you, the AI agent handles most of the ideation, writing, polishing, personalization, and deep research, allowing you to achieve results without lifting a finger.\n\n### Step 1: Campaign idea\n\nMocke suggests campaign ideas. By simply entering your website, the AI agent identifies the ideal ICP, highlights the most suitable pain points for cold emailing (as not every pain point is effective for cold emailing), and provides a creative messaging angle designed to attract a lot of responses.\n\nYou can start not only with your website but also with your inbound website visitors, conference pre- and post-outreach, publishing a new case study, creating a new blog post, promoting a new AI feature, and more. Share any of these with Mocke, and the AI agent will develop a comprehensive outbound strategy for you.\n\nBelow is a basic example using [@Pylon](https://bookface.ycombinator.com/company/28069)’s website. (big fan of their product btw!)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/216b3b61-dd14-41ca-9838-5acb958e8d04)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/1595b949-d321-4eff-b84b-361df55b3934)\n\n### Step 2: Email template\n\nMocke writes email templates with embedded prompts. Refer to the Pylon example below.\n\nFor each email, AI agent may propose an engaging subject line, a creative value-based call to action (beyond a simple meeting request), and crucially, instructions for conducting deep research and personalization, presented as prompts in **\\[square brackets\\]**.\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/dcad9216-12af-4494-ba86-d82f4cb52fee)\n\nWhat Mocke will do is to run deep research into a lead, the business behind, their department and teams, and all relevant information with regard to what AI agent is selling. Then with the targeted deep research, AI agent will generate a highly-relevant email for one lead.\n\n Just to highlight, in the Pylon example above, there are various prompts:\n\n* A paragraph prompt `[Write a short paragraph in 30 words or less. Ask the lead if their support team has experienced a large volume of support tickets in Q1 2026, and how they handle it. Must mention one specific technical product error message often asked by the lead's users. Must use deep technical terminology in the context of the lead's product. Must mention the lead's product name.]`\n* A phrase prompt `[describe the lead's team, in 3 words or less]`\n\n So you can choose from full delegation to AI to write content, or partially if you want to have finer control over customization.\n\n###  Step 3: Preview deep research and emails\n\nTo review the deep research and email writing, you can provide a lead's LinkedIn profile for the AI agent to conduct in-depth research and craft a personalized email in real-time. This ensures you feel confident about the dynamic content generated by the AI, based on the prompts embedded in the email templates.\n\n For this demo, I'm again using two potential leads of Pylon and have AI run deep research to write emails. You can compare them side-to-side to see the difference.\n\n \n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/4d2f6ca8-bda6-4264-bab1-295e51ba50c4)\n\n![uploaded image](/media/?type=post&id=98226&key=user_uploads/675671/d773b48d-0501-4b35-83df-cb2364a6b508)\n\n### Ready to launch\n\nAfter completing the three steps in just 60 seconds, you can upload your list of leads. The AI agent will then conduct deep research and create personalized messages for each lead, one by one!\n\n# 🚀🚀🚀 **Ask**\n\nNo sign-up is required, and it's free to use. Simply visit our website <https://mocke.co/> and enter your website. In just 60 seconds, you'll receive a cold email that you'll truly like.\n\nMy ask: try it out with your website and share your honest feedback. Let us know  whether you love it or not.\n\n \n\n---\n\n---\n\n---\n\n---\n\n---\n\n— — — —\n\n---\n\n# How it works underneath\n\nIf you are still reading and interested to know a little more.\n\n### Email Writing Workflow\n\nFor each lead, Mocke would go through a few steps to write unique messaging per person and ensure it's relevant.\n\n1. Build a profile of the lead by scraping LinkedIn page\n2. Build a profile of the company of the lead by querying B2B databases\n3. Use [@Firecrawl](https://bookface.ycombinator.com/company/27152) (shout out to the team, amazing product as well!) to crawl website and/or targeted information search using its agent\n4. Use agentic loop to finish email writing, polishing, reviewing, scoring, and delivering\n\n### What can be found in deep research?\n\n1. Anything mentioned on main marketing website\n2. Anything mentioned in documentation\n3. Google searchable content if the results come back in the first page of SERP\n4. Top reddit relevant threads (same reason as above, indexed by Google)\n5. Personal and company LinkedIn profiles activities\n\n### What if AI can't find information?\n\nMocke AI agent will not generate inaccurate information, as we have safeguards in place. In the case of information not found, AI will write generic content, rather than specific reference of information.",
        "url": "https://www.ycombinator.com/launches/PYI-mocke-cold-email-ai-agent",
        "votes": 6,
        "created_at": "2026-03-02T17:52:17.660Z"
      },
      {
        "id": 98225,
        "title": "Mocke, Cold Email AI Agent",
        "tagline": "Cursor for cold email, with lead research and personalization at scale",
        "body": "Hey, it's Matt here. Really excited to launch Mocke today, because it has been a wow moment for ourselves and beta users. Can't wait to share it with everyone who writes cold email.\n\n# TLDR;\n\nMocke is an AI agent for cold email. It works like Cursor for development. Mocke collapses hours of cold email writing into seconds and conducts deep research on each lead to deliver completely personalized messaging at scale.\n\nTry Mocke here <https://mocke.co/>. No account is needed; just enter your website to see the cold email you are going to love in 60 seconds.\n\n# **The problems we are solving**\n\n### The 0.1 → 1 Problem\n\nEven though everyone now has access to ChatGPT, crafting effective cold emails still requires significant time and effort. Here's the typical experience of someone writing cold emails:\n\n1. ChatGPT provides a first draft in 5 seconds, which looks decent.\n2. The user then spends time refining the phrases, CTA, subject line, messaging, and final touches. This process can take an hour or even several hours until they feel comfortable sending out the emails.\n\nThe challenge is rather the effort needed to refine the draft for production, because no one feels comfortable taking the 1st drafted email from ChatGPT and send to real leads. Therefore, I refer to this problem as the 0.1 to 1 problem.\n\n### The personalization with deep research\n\nChatGPT is a commodity that everyone already has access to. So, writing a good cold email is no longer sufficient to get meaningful returns from campaigns. Relevance has already become the #1 indicator for a high reply rate. However, there are no effective tools available for conducting in-depth research on each lead and crafting personalized, unique emails for every individual.\n\nIn the market, many AI sales tools attempt to build rapport in cold emails by referencing LinkedIn activities, such as congratulating someone on a promotion or mentioning a recent post. However, leads can quickly recognize poorly generated personalization in these outreach efforts, which often lack genuine relevance. This undermines trust and reduces interest.\n\n# **The solution - Mocke: your cold email AI agent**\n\nMocke is a Cold Email AI agent that functions like Cursor. It reduces hours of cold email writing and deep personalization to just 60 seconds, delivering thousands of unique email messages that leads will love instantly. While it works alongside you, the AI agent handles most of the ideation, writing, polishing, personalization, and deep research, allowing you to achieve results without lifting a finger.\n\n### Step 1: Campaign idea\n\nMocke suggests campaign ideas. By simply entering your website, the AI agent identifies the ideal ICP, highlights the most suitable pain points for cold emailing (as not every pain point is effective for cold emailing), and provides a creative messaging angle designed to attract a lot of responses.\n\nYou can start not only with your website but also with your inbound website visitors, conference pre- and post-outreach, publishing a new case study, creating a new blog post, promoting a new AI feature, and more. Share any of these with Mocke, and the AI agent will develop a comprehensive outbound strategy for you.\n\nBelow is a basic example using [@Pylon](https://bookface.ycombinator.com/company/28069)’s website. (big fan of their product btw!)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/216b3b61-dd14-41ca-9838-5acb958e8d04)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/1595b949-d321-4eff-b84b-361df55b3934)\n\n### Step 2: Email template\n\nMocke writes email templates with embedded prompts. Refer to the Pylon example below.\n\nFor each email, AI agent may propose an engaging subject line, a creative value-based call to action (beyond a simple meeting request), and crucially, instructions for conducting deep research and personalization, presented as prompts in **\\[square brackets\\]**.\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/dcad9216-12af-4494-ba86-d82f4cb52fee)\n\nWhat Mocke will do is to run deep research into a lead, the business behind, their department and teams, and all relevant information with regard to what AI agent is selling. Then with the targeted deep research, AI agent will generate a highly-relevant email for one lead.\n\n Just to highlight, in the Pylon example above, there are various prompts:\n\n* A paragraph prompt `[Write a short paragraph in 30 words or less. Ask the lead if their support team has experienced a large volume of support tickets in Q1 2026, and how they handle it. Must mention one specific technical product error message often asked by the lead's users. Must use deep technical terminology in the context of the lead's product. Must mention the lead's product name.]`\n* A phrase prompt `[describe the lead's team, in 3 words or less]`\n\n So you can choose from full delegation to AI to write content, or partially if you want to have finer control over customization.\n\n###  Step 3: Preview deep research and emails\n\nTo review the deep research and email writing, you can provide a lead's LinkedIn profile for the AI agent to conduct in-depth research and craft a personalized email in real-time. This ensures you feel confident about the dynamic content generated by the AI, based on the prompts embedded in the email templates.\n\n For this demo, I'm again using two potential leads of Pylon and have AI run deep research to write emails. You can compare them side-to-side to see the difference.\n\n \n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/4d2f6ca8-bda6-4264-bab1-295e51ba50c4)\n\n![uploaded image](/media/?type=post&id=98225&key=user_uploads/675671/d773b48d-0501-4b35-83df-cb2364a6b508)\n\n### Ready to launch\n\nAfter completing the three steps in just 60 seconds, you can upload your list of leads. The AI agent will then conduct deep research and create personalized messages for each lead, one by one!\n\n# 🚀🚀🚀 **Ask**\n\nNo sign-up is required, and it's free to use. Simply visit our website <https://mocke.co/> and enter your website. In just 60 seconds, you'll receive a cold email that you'll truly like.\n\nMy ask: try it out with your website and share your honest feedback. Let us know  whether you love it or not.\n\n \n\n---\n\n---\n\n---\n\n---\n\n---\n\n— — — —\n\n---\n\n# How it works underneath\n\nIf you are still reading and interested to know a little more.\n\n### Email Writing Workflow\n\nFor each lead, Mocke would go through a few steps to write unique messaging per person and ensure it's relevant.\n\n1. Build a profile of the lead by scraping LinkedIn page\n2. Build a profile of the company of the lead by querying B2B databases\n3. Use [@Firecrawl](https://bookface.ycombinator.com/company/27152) (shout out to the team, amazing product as well!) to crawl website and/or targeted information search using its agent\n4. Use agentic loop to finish email writing, polishing, reviewing, scoring, and delivering\n\n### What can be found in deep research?\n\n1. Anything mentioned on main marketing website\n2. Anything mentioned in documentation\n3. Google searchable content if the results come back in the first page of SERP\n4. Top reddit relevant threads (same reason as above, indexed by Google)\n5. Personal and company LinkedIn profiles activities\n\n### What if AI can't find information?\n\nMocke AI agent will not generate inaccurate information, as we have safeguards in place. In the case of information not found, AI will write generic content, rather than specific reference of information.",
        "url": "https://www.ycombinator.com/launches/PYH-mocke-cold-email-ai-agent",
        "votes": 6,
        "created_at": "2026-02-27T21:25:23.038Z"
      },
      {
        "id": 93377,
        "title": "Mocke - Mock cold email campaigns",
        "tagline": "Know your reply rate in 1 min without launching",
        "body": "Hey, Matt and Daniel from Mocke (s22) here. We are beyond excited to launch a product that's never been seen before!\n\n# TLDR;\n\nMocke AI agent mocks running cold email campaigns. Get campaign results in 1 min, such as spam, open, reply, or unsubscribe. Mocke also reveals why each lead didn't open emails, ignore, or forward. Unlock insights of campaign failure (or success!) not even seen in real life.\n\nCompletely free to start.\n\n[Sign up here](https://mocke.co/)[ ](https://www.loom.com/share/3f83a2a5c8984bfe97a020843c29cb91)\n\n# **The problem, that we take personally** 😕\n\nAt Mocke, we send a huge amount of cold emails (for our startup journey, see it in the end). Our daily cold email sending volume is up to 1,000,000 per day to the entire world. And we've seen a wild range of performance outcomes: the best around 80% open / 25% reply / 10% interest, and the worst would be zero interest or replies. Granted, cold email is hard because of all factors driving the results: deliverability, messaging, cta, brand awareness, competition, PMF, etc. At our scale, we've built possibly all the tools and AI to maximize the performance, except for one thing:\n\n> _The messaging, or the message-market fit (MMF)_\n\nOn one day, we've seen a 10% interest rate for a given product, which easily generates 100 leads per day at our scale. The next day, we tried different messaging for the same product, just a minor tweak and prospect list, and got 0 replies. (Deliverability isn't our problem; our open rate never drops below 65% when we track it.)\n\n The problem is message-market fit. We cannot tell whether a message is going to resonate with this list of leads/personas/decision makers until we test it. We have to test it.\n\nSo here are the three core problems we are struggling with, and I'm sure you do as well:\n\n* 💔 **SLOW - Cold email takes a long time to test**. Every campaign with a multi-step sequence takes 2 weeks to 1 month to test.\n* 💔 **GUESSING GAME - Cold email gives no feedback**. If you have a 0% interest rate campaign sent to 1,000 people, why do people not respond? What's the problem? No one tells you, among those 1,000 people, why they don't care about your messaging. So you guess again and spend two weeks running another email copy.\n* 💔 **WASTE** - **You are burning through real people, real customers.** You can't test too hard on these real customers, as it's going to harm your reputation.\n\nThis is a real challenge that everyone has to go through. There is no solution so far. Until today.\n\n# **Meet Mocke**\n\nToday, we are introducing Mocke, the _world's first and only_ AI agent that mocks cold email campaigns exactly like real campaigns. Here is how Mocke works:\n\n1 - 📁 Upload your prepared campaign .csv file as usual to Mocke, 1-click to launch the (mocked) campaign\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/a4771fab-65ac-40f1-85f5-23f299ef3b68/1.png)\n\n2 - ⏰ In as little as 1 minute, the emails are sent, and the campaign results are ready for you\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/6efc67b5-1256-481a-9bd1-23a9bf65fb9e/2.png)\n\n3 - 📈 You can view all replies, positive or negative, forward, unsubscribe, out of office, etc., like a real campaign\n\n4 - 📊 Mocke **not only** reveals your predicted open rate, reply rate, interest rate, and unsubscribe rate, but you also get the following **critical** information:\n\n1. 🚯 How many people clicked Report SPAM\n2. 📨 How many people forwarded internally without letting you know\n3. 🗑️ How many people ignore/archive/delete\n4. 🤔 The leads' thoughts behind why people opened the email, why people read a 2nd time, why people reply, etc.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/905bc8f8-a621-4fdc-b24f-28b943ed813e/3.png)\n\n5 -💡 Based on visible campaign outcomes and hidden lead actions above, the AI agent analyzes the campaign to provide unseen insights in real campaigns instantly.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/7be52197-6573-45e3-818b-3dced14bd3fc/4.png)\n\nWith Mocke, the game with cold email has forever changed.\n\n* ❤️‍🔥 Instead of waiting for 2 weeks, **you get results in 1 min**\n* ❤️‍🔥 Instead of a guessing game \"why people didn't reply?\", **you know the exact reasons**\n* ❤️‍🔥 Instead of testing against real customers, **you test against them mocked, as many times as you wish**\n\nPersonally, I can't believe there is no such product in the world. We searched, but couldn't find any. So we made it for you, all of you looking at this comment now.\n\n![](https://t18036112.p.clickup-attachments.com/t18036112/9762737c-dcf8-47ef-9113-2a32dfb27ed7/image.png)\n\n# Ask\n\n* If you run cold email campaigns, please upvote this post!\n* If you find cold email hard, please give it a try! [Get started for free](https://mocke.co/)\n* We are running a launch promotion, 50% off any paid plan if you sign up before August 31st. Use coupon code: MOCKEMAILPH",
        "url": "https://www.ycombinator.com/launches/OI5-mocke-mock-cold-email-campaigns",
        "votes": 11,
        "created_at": "2025-08-28T15:31:47.717Z"
      }
    ]
  },
  {
    "id": 26732,
    "name": "BricksAI",
    "slug": "bricksai",
    "former_names": [
      "Bricks",
      "Bricks Cloud Technologies",
      "Bricks",
      "BricksLLM",
      "Bricks"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/44f40e7576a25af3cfc86cc12b6a9b787a7e9a2c.png",
    "website": "https://www.trybricks.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BricksAI is an open-source AI gateway that helps you manage how each of your services is calling different LLM providers.\r\n\r\nYou can create API keys with rate-limits, spend-limits, and expiration dates, then use them to make requests to different LLMs. With our SSO dashboard, you also get (1) role-based access control, and (2) fine-grained metrics (e.g. cost, number of requests, tokens) over each API key.",
    "one_liner": "Streamlining LLM application management for enterprises",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1692903729,
    "tags": [
      "Developer Tools",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bricksai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/bricksai.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/44f40e7576a25af3cfc86cc12b6a9b787a7e9a2c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 991808,
        "full_name": "Spike Lu",
        "title": "Founder",
        "founder_bio": "Emory University - Class of 2019\nSenior Software Engineer at Unity Technologies - 2019 - 2022",
        "is_active": false,
        "linkedin_url": "http://linkedin.com/in/spike-lu-38227b105",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/817e16bf6200d5b6aabff2fbc8e6e6ca8b360723.jpg"
      },
      {
        "user_id": 1109574,
        "full_name": "Donovan So",
        "title": "Founder",
        "founder_bio": "hi",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/donovanso/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f17567a5b90d99bec76614af844477bd36ac28d4.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 76778,
        "title": "🧱 BricksAI Cloud - Simple cost control & monitoring for LLMs",
        "tagline": "We help engineers protect and track their GenAI expenses",
        "body": "**Tl;dr**: Are you finding it difficult to track your LLM costs per project/user? Do you want to set a custom rate/spend-limit for each project/user?\n\n**Create a **[**free account**](https://www.trybricks.ai/sign-in)** and try us out today 😄**\n\nHey everyone, this is [**@Spike Lu**](http://linkedin.com/in/spike-lu-38227b105) and [**@Donovan So**](https://www.linkedin.com/in/donovanso/)! We're excited to share that we've launched [BricksAI Cloud](https://www.trybricks.ai/).\n\n# **The Problem**\n\nA lot of enterprise features are still missing from today's LLM providers, particularly:\n\n1. there isn't a good way of controlling LLM spendings in a granular way (e.g. per user/project/env/feature etc.)\n2. there isn't a good way of monitoring LLMs in a granular way\n\nBut building an LLM wrapper in-house takes away valuable engineering time from shipping features that actually drive business value.\n\n# **The solution**\n\nBricksAI Cloud is an [open-core](https://github.com/bricks-cloud/BricksLLM) SaaS solution that protects and monitors your LLM usage. We're a proxy, so instead of using API keys from your providers, you'd create and use Bricks API keys that come with custom limits (e.g. expiry date, rate-limit, or spend-limit).\n\n[**Demo video**](https://www.loom.com/share/fe0553312e8a4378b3467c12f22e8714?sid=39bbbec1-da60-4054-899a-9ce991b068a9) ⭐\n\n![uploaded image](/media/?type=post&id=76778&key=user_uploads/1109574/8811f428-392d-4533-973d-516979be917d)\n\nWe currently have official support OpenAI and Anthropic, meaning you’ll be able to accurately track your token usage and cost without any configuration. We also support integrations with custom models.\n\nOver the past few months, we have streamlined LLM operations for a wide range of clients, including a late-stage sustainability tech startup, a major leadership training nonprofit, a top European travel agency, and multiple AI startups.\n\nNow, we're opening up our tool to the world with the launch of BricksAI Cloud. We'd love to see how it can transform your GenAI stack.\n\n# **The ask**\n\n1. Star us on [**Github**](https://github.com/bricks-cloud/BricksLLM) ⭐\n2. Create a [free account](https://www.trybricks.ai/sign-in) and try us out today. _Heads up: we require a 15-min account activation call, this helps us get to know your use case better. Don’t worry, it’s super quick and casual!_\n3. Questions? Feedback? Feature requests? [Book a call with us](https://calendly.com/spike-at-bricks/coffee-chat-with-spike) or email [founders@bricks-tech.com](mailto:founders@bricks-tech.com).",
        "url": "https://www.ycombinator.com/launches/JyM-bricksai-cloud-simple-cost-control-monitoring-for-llms",
        "votes": 9,
        "created_at": "2023-12-11T21:19:06.212Z"
      },
      {
        "id": 74841,
        "title": "BricksAI🔐: A simple OpenAI access manager for enterprises",
        "tagline": "BricksAI helps enterprises develop LLM apps more securely",
        "body": "**Tl;dr:** [BricksAI](https://www.trybricks.ai/) helps enterprises develop LLM apps more securely. We do this through an access manager that can set a spend limit, rate limit and expiration date on individual API keys. \n\n**The Problem: OpenAI does not provide enterprise level security features**\n\n> _“You wouldn’t believe how many organizations are building OpenAI wrappers.”_\n>\n> _\\- A machine learning director at a unicorn startup._\n\nOpenAI does not have enterprise-level security features. A lot of companies need to build enhanced security features on top of what OpenAI offers before using them.\n\n> “We simply assign each team an OpenAI key”\n>\n> \\- A senior engineer working at a public fintech company.\n\nDeveloping OpenAI applications often means that developers have to share OpenAI key credentials with each other to speed up development.\n\nThere are several risks and drawbacks associated with this approach:\n\n* **Increased likelihood of security breaches**: more than 50% of breaches happen due to shared secrets\n* **No cost visibility**: no way of knowing what constitutes a $20k OpenAI bill\n* **No access control**: no source of truth for OpenAI access\n* **Degraded production performance**: OpenAI has an organization-level rate limit. One team’s experimentation with OpenAI could impact the performance of production OpenAI applications if not properly rate limited.\n\nAzure OpenAI service helps fill some of the gaps but this product is simply not available to users of GCP and AWS for competitive reasons.\n\n**The Solution: A self-hosted OpenAI access manager**\n\n[BricksAI](https://www.trybricks.ai/) checks all requests between your applications and different LLMs. We ensure every call is authorized, and does not exceed any traffic and cost limits.\n\nYou can create a custom API key with a **rate-limit**, **spend-limit**, and **expiration date** either programmatically or through our UI:\n\n![](https://lh6.googleusercontent.com/2PBxx_RzNu9dsiySB2IXD4ySeziMayS-afN25SnUBofJEuRla9tBclCHbLg1OGdj_87mHcr3NSI4SMgTkEUtSRHIQr0yLgK1Ty0ZZWnvKSAi4tCEcktVTexY0RkVakz6krMl7mU2m2CO0tvGxJ3W_7g)\n\nThen use the API key to access an LLM like you normally would. When a key reaches its limit (e.g. has expired), our gateway blocks off your requests:\n\n![](https://lh3.googleusercontent.com/nJ4yb431KR5fhWm-5SHhrxEddPFtRWb5kUD4z7Gw2i3gnn3IO4_p7a2aeIqPQhLyW2l1XOx_0J-nv_rVmPv8KHR7adRa3uVd6bzgBbYPPmlfCOhjUoIZe9qIOqrEX3Kd4A8kOmcH9zqcC9yonuZich8)\n\nIn addition, our enterprise offering includes \n\n* **SSO**: SSO integration\n* **Dashboard**: Dashboard view of the keys created\n* **Analytics**: Analytics on usage and cost by team and service\n* **Access Control**: Access control over who can view and create keys\n\n![](https://lh6.googleusercontent.com/B1ecI3KdyzeqrdPU6JRoYflPXpt-y3YiRGuf3wE0_n6gJZxKZX6bxnHCFXFvSh4Rf5MsCTXNWpZEEIsXnsSiEyBqCJ9_GIVaRyWb8BoT6xjITG2pN1SMtiuDLJCryMENyfbPY_Y-2vAfW0fgUjMRuZg)\n\n**Who are we?**\n\n![](https://lh3.googleusercontent.com/QVEctbu3DQ5cZPDkK_P_-9KGBcMg64t7qzcFlEpbO_EpUefLvVcu5ApqHH6oZYx0x8hBDxZdX7PdngRjIkCXp_6ALUFsAn9ZCrB636TWAQ2o5pr1J7z-GVEoYgplvK__JBvVpVnXdnv7Fq5KQXqQJdI)\n\n[Spike](https://www.linkedin.com/in/spike-lu-38227b105/) (on the right) was a senior software engineer at Unity for three years. He worked on an internal API gateway used by hundreds of developers.\n\n[Donovan](https://www.linkedin.com/in/donovanso/) (on the left) was a software engineer at Credit Suisse, building internal tools dealing with financial instruments used by institutional investors.\n\nWhile working on our previous [AI powered Figma to code idea](https://www.figma.com/community/plugin/1178847414663679049/Bricks---AI-Powered-Design-to-TailwindCSS-Code), we realized that developing applications using OpenAI credentials is easy to get started but poses huge security risks. After constantly hearing news about [leaked OpenAI keys](https://www.darkreading.com/application-security/cybercrooks-scrape-openai-keys-pirate-gpt-4), we are inspired to create a solution that helps make OpenAI development safer at enterprises.  \\\n\\\n**Interested in learning more?**\n\n* 📅 [Book a call](https://calendly.com/spike-at-bricks/quick-chat?month=2023-09)\n* ✉️ Email us at [spike@bricks-tech.com](mailto:spike@bricks-tech.com)\n* 🤝 Connect with us on [LinkedIn](https://www.linkedin.com/in/spike-lu-38227b105/)",
        "url": "https://www.ycombinator.com/launches/JT7-bricksai-a-simple-openai-access-manager-for-enterprises",
        "votes": 50,
        "created_at": "2023-09-13T21:28:53.172Z"
      }
    ]
  },
  {
    "id": 26733,
    "name": "Roxels",
    "slug": "roxels",
    "former_names": [
      "Trebu",
      "trebu"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cf53490864092dbff595fc62f53545226e16ac0.png",
    "website": "https://www.roxels.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Roxels is a vision-enabled voice agent that can handle complex flows for your users. For example, it can onboard and give the “Collison Installation” experience to every customer, not just the first ten.",
    "one_liner": "Founder-level assistance whenever customers need it, at scale",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1657745629,
    "tags": [
      "B2B",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/roxels",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/roxels.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/roxels",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cf53490864092dbff595fc62f53545226e16ac0.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 310277,
        "full_name": "Daniel Akle Carranza",
        "title": "Founder",
        "founder_bio": "CEO at Roxels\n-\nCEO at Trebu\n-\nMexico GM at Branch\n-\nStanford MBA",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-akle",
        "x_url": "https://twitter.com/DAKCAR",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9c59fda214964627dfb449c2a032cb1401cc241.jpg"
      },
      {
        "user_id": 192266,
        "full_name": "Antonio Longoria",
        "title": "Founder",
        "founder_bio": "CTO at Roxels & trebu\nMechanical Engineer by training\nSelf-taught full-stack developer\nCo-founder of Skysset",
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        "id": 65300,
        "title": "Trebu is a data sharing network to help companies in LATAM fight fraud and default.",
        "tagline": "We enable healthier financial products for underbanked populations.",
        "body": "### Our customers can access real-time information and use it to strengthen their credit models, while keeping control of their data.\n\n![uploaded image](/media/?type=post&id=65300&key=user_uploads/1046279/f30a1d00-91f1-4c9f-b600-6f55271653b9)\n\n### **What is the problem?**\n\n\\- High default rates make it harder to build sustainable lending companies without relying on increasing interest rates.\n\n\\- High interest rates lead to low retention.\n\n\\- Many of the same borrowers who are defaulting with one lending company, are also defaulting with others. \n\n\\- Borrowers are taking out multiple loans from various lenders in order to repay other loans.\n\n\\- Borrowers take out loans to repay other loans and get larger loan amounts, which leads to customer indebtedness.\n\n**What is our solution?**\n\n* A data sharing network for digital lending companies to reduce fraud and default.\n* Our customers can access real-time information and use it to strengthen their credit models, while keeping control of their data.\n\n**Backstory**\n\nAfter giving over 2 million loans as the general managers of Tala and Branch in Mexico, Daniel and Fran realized that many of the same borrowers who were defaulting with one company were also defaulting with the other, shedding light on the high risk of the market. Using the existing alternatives to underwrite is not enough as they are expensive and data is not recent enough to detect common risks. To change this, they partnered with Antonio to build Trebu.\n\n**Asks**\n\nIntros to anyone in risk and credit teams!! Head of Risk, Chief Risk Officer, VP of Risk of digital lending companies.\n\n**Offer**\n\nIf you are launching a lending product in Mexico we are happy to help you.\n\nLet's fight fraud and default: [www.trebu.io](http://www.trebu.io) ",
        "url": "https://www.ycombinator.com/launches/GzE-trebu-is-a-data-sharing-network-to-help-companies-in-latam-fight-fraud-and-default",
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    "id": 26741,
    "name": "Paragon AI",
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    "all_locations": "New York City, NY, USA; San Juan, San Juan, Puerto Rico; Remote",
    "long_description": "Paragon AI is a tool for sales representatives which automatically turns call recordings into structured information that directly updates the CRM. Instead of spending hours going over call recordings to pull out key information to populate the CRM, sales representatives can focus their time doing what they do best and sales leaders can rest assured that pipeline data is up to date.",
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    "city": "New York City",
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        "user_id": 1028295,
        "full_name": "Max Lu",
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        "founder_bio": "After spending several years scaling the tech and product org as engineer #1 at a YC unicorn, Max (CEO) built out revenue operations as an early employee at another hypergrowth YC company where he experienced the sales team’s bemoaning of administrative work firsthand as he chased them down to update Salesforce. All the while, he personally experienced the pain of producing forecasts with their inevitably incomplete CRM data. Pilot AI is the solution that sales and leadership wished for.",
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        "linkedin_url": "https://www.linkedin.com/in/maxwell-lu-60b85269/",
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        "id": 63885,
        "title": "Founding Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/paragon-ai/jobs/2txf8hg-founding-enterprise-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.15% - 0.25%",
        "experience": "3+ years",
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        "id": 63893,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/paragon-ai/jobs/twlJy20-founding-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
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        "salary_range": "$75K - $150K",
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        "id": 63896,
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        "url": "https://www.ycombinator.com/companies/paragon-ai/jobs/DJaivfc-full-stack-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
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        "role_type": "Full stack",
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        "id": 63900,
        "title": "Operations & Customer Success",
        "url": "https://www.ycombinator.com/companies/paragon-ai/jobs/C789fuS-operations-customer-success",
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        "experience": "Any (new grads ok)",
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        "date": "Mar 21, 2023"
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        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/",
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        "title": "Pilot AI - turns your sales calls into CRM data, automatically",
        "tagline": "Never update a CRM record again - turns every sales calls into detailed notes and structured data that updates your CRM directly.",
        "body": "**tl;dr** [Pilot](https://www.getpilot.ai/) produces detailed notes and field updates that directly update the CRM after every sales call. For reps, this eliminates hours of admin work a week spent reviewing calls and updating the CRM (instead of selling). For sales leaders, this is the only way to ensure that high-quality data is produced and logged from every sales call.\n\nHi everyone, I’m Max - the founder of Pilot AI.\n\nI’ve previously worked as a software engineer at Salesforce, built and scaled Tech & Product at Clipboard Health (W17), and then built out Revenue Operations at Welcome (S20), where it was my job to chase down sales reps every week to update Salesforce. Our reps could spend two hours a day going back through calls to take detailed notes and update the CRM - they all complained loudly about it, and they could have spent that time selling more.\n\nPilot frees up all of this wasted time through automation and makes it possible to maintain a clean CRM that can be used to produce accurate forecasts.\n\n![uploaded image](/media/?type=post&id=65138&key=user_uploads/1028295/b95d6aca-12e8-4c0f-b641-c01c8d281c49)\n\n## **What’s the problem?**\n\nSalespeople can spend 25% of their day writing up notes and updating the CRM, which they could spend generating more revenue. Every salesperson despises this part so much that frequently, they just don’t do it. This causes numerous problems including making deals difficult to review, handoffs impossible and forecasting inaccurate.\n\n## **The Solution?**\n\n**Stop relying on salespeople to take notes and update the CRM**.\n\nPilot is an AI assistant that generates detailed notes and structured data that call that updates the CRM for every call. The notes are easy to read and don’t include the rambling, small talk and pauses of the conversation but instead capture the most important points. \n\nForm every conversation, Pilot produces:\n\n1. A scannable summary\n2. Datapoints that map to CRM fields\n3. Every question asked by the rep and the most important parts of the prospect's answer\n4. Additional essential points that the prospect made during the call\n\n## **We'd love to hear from you!**\n\nIf you’re facing this problem in your organization - we’d love to show you our magic trick. [Schedule a demo!](https://calendly.com/max-pilot-ai/30min)\n\nIf you’re thinking of a sales leader that this would help, we’d love an intro! [max@getpilot.ai](mailto:max@getpilot.ai)\n\nWe’re always interested in talking to reps as well; send me an email if you’d like to use Pilot!\\\n\\\n<https://www.getpilot.ai/>\\\n[max@getpilot.ai](mailto:max@getpilot.ai)",
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        "votes": 45,
        "created_at": "2022-08-04T17:48:02.591Z"
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    "long_description": "Boostly provides everything necessary for restaurants to attract new guests and turn them into regulars. From AI-powered SEO, paid ads, behavioral-based text marketing with gamified engagement, and AI driven reputation management, Boostly provides 10x greater guest engagement when compared to others in the industry.  \r\n\r\nBoostly’s patented processes enables them to build opted-in subscriber lists bigger and faster than anyone on the market.",
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        "full_name": "Shane Murphy",
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        "founder_bio": "Shane is the Co-founder and CEO of Boostly. He previously ran sales for Jolt, a restaurant operations software company (acquired by Digi for $145M), and was a sales leader, early team member, and investor in American HealthCare Lending (acquired by Prosper Marketplace for $21M). He previously founded an online ordering company which was acquired by StrideQ.",
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        "founder_bio": "Consummate generalist w/ a focus on product; BYU CS, Techstars '16, 3x CTO.",
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        "title": "Boostly Awarded Patent for Breakthrough Messaging Technology, Ushering in a New Era of Restaurant Marketing",
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        "title": "Boostly Secures $22M Series A to Accelerate Growth as Leading Provider of Restaurant Marketing Automation Software",
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        "url": "https://www.boostly.com/blog/boostly-announces-5-6-million-in-seed-round-funding",
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        "date": "Sep 14, 2023"
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        "url": "https://smartpizzamarketing.com/text-marketing-how-to-do-it-well-w-shane-from-boostly/",
        "date": "Aug 03, 2023"
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        "title": "Boostly (S22): Text Marketing & Feedback on Autopilot for Restaurants",
        "tagline": "We provide an automated text marketing and feedback system to restaurants that works seamlessly with their point of sale and online ordering systems",
        "body": "**We provide an automated text marketing and feedback system to restaurants that works seamlessly with their point of sale and online ordering systems.** Our restaurant partners typically get $10-$15 back for every dollar that they spend with us.\n\nWe founded Boostly in 10/2017 and went through a few pivots before we landed on this current concept that we’ve grown to roughly $1M in annual revenue through outbound sales. We’re just getting warmed up and plan to grow our marketing channels during YC. \n\n## **Problems**\n\n* Restaurants live or die based on their ability to get their customers ordering regularly, but over 60% of a restaurant's customer base never make it in for a 2nd visit.\n* Customer data is notoriously hard for restaurant owners to access because it’s in several different systems with various accessibility challenges.\n* Restaurant owners are strapped for time and often lack any marketing know-how.\n* Most restaurant marketing lacks good tracking to know exactly how it’s working.\n\n## **Our Solution**\n\n* We aggregate customer data from several data sources for the restaurant & get customers to opt in to receive texts from the store.\n* We put text marketing on autopilot with weekly offers, birthday deals, & relevant reminders.\n* While the customer eats, we solicit feedback via a 2 click survey and help to connect the restaurant with the guest if there was an issue or generate a 5 star review on Google.\n* We track the restaurant’s ROI across all of their sales channels (online, over the phone, or in-store).",
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    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech",
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        "full_name": "Deepanshu .",
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        "title": "EthosX: Decentralized finance platform for crypto & traditional derivatives",
        "tagline": "We make it unbelievably easy for financial institutions to trade derivatives and manage financial risk",
        "body": "Hi all, we are [Smit](https://www.linkedin.com/in/smit-patoliya/) & [Deepanshu](https://www.linkedin.com/in/deepanshu1/) and we are super stoked to announce EthosX!\n\n### \n\n### 🚀TL;DR\n\n \n\nEthosX makes it easy for crypto companies and financial institutions to sell on-chain derivatives to their customers and trade with each other. For example, using EthosX’s options infrastructure two hedge funds can trade high-value on-chain options with each other directly without involving any banks or brokers with zero counterparty risk and zero settlement risk.\n\n \n\n### ❓Problem\n\n \n\n**Global derivatives ecosystem is broken.** Derivatives trading in traditional finance has way too many gatekeepers and intermediaries. This leads to inefficiencies and things falling apart every other day. As insiders, we have seen how much everything hangs by a thread. With **USD 600 Trillion dollars (notional value) at stake**, one would expect things to be better, but they aren’t.\n\nCrypto was supposed to be free of these issues and a solution to all of this, but it is itself getting more and more centralized with disastrous consequences, as was clearly evident in the last few months. With every other crypto exchange/bank running away with user’s funds, one can hardly blame the users/traders/investors if they don’t trust centralized entities for complex products like derivatives.\n\n### 🎯Solution\n\n \n\nWe are bringing the entire derivative trading lifecycle on blockchains end-to-end (trading, clearing and settlement).\n\nInstitutions can trade directly with each other on-chain via smart contracts created by us without involving any banks, brokers or exchanges. These trades have zero counterparty risk as the net payoffs are locked in the code. The settlement of these derivatives is automatic and done with the help of on-chain oracles and therefore the settlement risk is also zero. \n\nWe are also adding a Request-For-Quote system which will help bring more liquidity to these trades.\n\nNow, due to regulatory and technical reasons, this cannot be done yet for traditional finance derivatives, so we are starting with cryptocurrency derivatives first and will eventually go towards traditional finance as well.\n\nWe are providing derivatives infrastructure to other crypto companies as well who want to use these products as a part of a larger package to their customers. E.g. DeFi lending protocols can offer liquidation protection to their borrowers using our solutions.\n\nWe have also created perpetual options which are live (testnet) on our website and can be traded by retail traders and institutions alike. The instructions to trade them are [here](https://youtube.com/playlist?list=PL7wovngMr1uo6ZpBB_1fSluC1bLJnq5DK). \n\n \n\n### 📒Backstory\n\nTogether we have spent nearly 15 years in quantitative finance and have seen, very closely, all the points where the derivatives ecosystem falls apart. Deepanshu was a Vice President at the Quantitative Research team of JP Morgan Chase and Smit was working at a quantitative hedge fund trading options before they came together again for EthosX. **It is kind of an open secret that blockchain tech can potentially eliminate many of the issues in derivatives life-cycle which have persisted for years/decades.**\n\n ‘\n\n# 💁How can you help\n\n \n\n1. If you are at a financial institution and want to understand how large derivative trades can be done on-chain with no settlement risk and zero counterparty risk, please reach out to us at [contact@ethosx.xyz](mailto:contact@ethosx.xyz) or directly [message us on Linkedin](https://www.linkedin.com/in/deepanshu1/)\n2. If you are at a crypto company/protocol and need to use crypto derivatives for hedging your treasury or offering some price-volatility-protection to your customers, we will be happy to help! ([email](http://contact@ethosx.xyz) / [Linkedin](https://www.linkedin.com/in/deepanshu1/))\n3. If you are a trader, please try out our (testnet) perpetual options at [www.ethosx.xyz](http://www.ethosx.xyz) (metamask required)",
        "url": "https://www.ycombinator.com/launches/Gyj-ethosx-decentralized-finance-platform-for-crypto-traditional-derivatives",
        "votes": 207,
        "created_at": "2022-08-10T14:31:41.732Z"
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    "id": 26752,
    "name": "Delegasi",
    "slug": "delegasi",
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    "website": "https://delegasi.co/",
    "all_locations": "Bandung, West Java, Indonesia",
    "long_description": "Financial statements are definitely a hassle for business owners. Many accounting software are available, yet not everyone has the capability to operate them.\r\n\r\nAmidst this problem, Delegasi dares to provide a solution. As the first virtual financial manager in Indonesia, we assist SMB owners in putting together their financial statements and business analysis. By simply uploading receipts and bank statements, owners will receive their financial statements and business analyses with guaranteed accuracy, allowing them to make well informed financial decisions.",
    "one_liner": "Automated accounting service for small businesses in Indonesia",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1659248138,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
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      "Southeast Asia",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/delegasi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/delegasi.json",
    "year_founded": 2022,
    "city": "Bandung",
    "country": "ID",
    "linkedin_url": "https://www.linkedin.com/company/delegasi/",
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      "name": "Gustaf Alstromer",
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      {
        "user_id": 950917,
        "full_name": "Okky Pratama",
        "title": "Founder",
        "founder_bio": "Okky has an MBA from MIT, and he was Senior VP of Business & Operations for Modal Rakyat (Fazz Financial Group) before starting Delegasi. He is passionate about finance and analytics, he even reads financial statements as a hobby.",
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        "linkedin_url": "https://www.linkedin.com/in/yudha-okky-pratama-84217331/",
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      {
        "user_id": 857522,
        "full_name": "Ans Syuhada",
        "title": "Founder",
        "founder_bio": "Anshorimuslim (Ans) is technology and social cause enthusiast. Ans has wide range experiences from product development to data intensive system and leadership role. He also actives to nurture tech community and giving talks. His recent deck and writings can be seen on https://speakerdeck.com/ans4175 - https://ans4175.dev/\n\nHe is on quest helping Food and Beverages Industries understand their Finance Statement better for scaling their company better. Business Intelligence for everyone.",
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      {
        "id": 65034,
        "title": "Delegasi - The first automated accounting service for Small Businesses in Indonesia",
        "tagline": "An automated accounting service that connects to your POS data for small businesses in Indonesia, starting with restaurants and cafes.",
        "body": "👋 Hi we are Okky and Ans, founders of Delegasi.\n\nWe assist small business owners in putting together their financial statements and analysis automatically. To generate the financial statements, business owners can simply connect their POS and upload their receipts.\n\n—\n\n## ❓ The Problem\n\nAccounting is always a hassle for small business owners. As they need to handle lots of things (marketing, operations, purchasing, etc.), finding time for accounting is too hard. Not to mention, they need to learn accounting to do it properly.\n\nMany accounting software have claimed to help make the process faster and easier, yet many business owners we spoke with stop using them in the first 1-2 months, even after paying a one year subscription fee. Turns out, these software are still too complicated for users without accounting knowledge.\n\n## ✅ **Our Solution**\n\nIf you are a restaurant owner, you can simply:\n\n1. Connect your POS and food delivery service data;\n2. Upload your receipts, bank statements, and stock opname data; and\n3. Your financial statements and analysis are ready\n\nWith Delegasi, no manual input nor accounting knowledge are needed to generate your financial report. Additionally, you will get financial analysis that is catered to restaurants and cafes’ owners.\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/d23ceef6-9399-4cc0-a253-0f93f3316faa)\n\nSeveral analysis that we provide\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/0f1fe63a-03c0-4ba8-b9b3-33faa52fb34a)\n\n![uploaded image](/media/?type=post&id=65034&key=user_uploads/857522/5533c32f-d4f2-41b7-a3aa-4bb3ce4d6294)\n\n### 🗒️ **Founders Backstory**\n\nWe have known each other for more than twelve years since college. In early 2021 we started to try finding solution for restaurant and cafe owners around staff hiring problems. Turned out, every businesses that we pitched always mentioned accounting as one of their most painful problems. Thus, we took major pivot and tried to find solution on this one. We helped our friends’ businesses and crafted our first products. After experimenting for a few months, we received positive feedback and realized that this could become huge 📈. That was how we started Delegasi 🚀\n\n### 🌐 **Visit Us**\n\nVisit our website (in Bahasa) at <https://www.delegasi.co/> and our Instagram account <https://www.instagram.com/delegasi.co/> 🙏🙏\n\n---",
        "url": "https://www.ycombinator.com/launches/Guw-delegasi-the-first-automated-accounting-service-for-small-businesses-in-indonesia",
        "votes": 21,
        "created_at": "2022-08-01T01:49:17.694Z"
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    "id": 26755,
    "name": "Sunlight",
    "slug": "sunlight",
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    "website": "https://www.sunlightapi.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Sunlight moves B2B payment volume onto card without asking a single supplier to onboard. Our AI agents determine where a bill can be paid by card without a surcharge, then execute that payment through the vendor's own billing or AR portal, returning a confirmed status, receipt, and structured remittance data through a single API.\r\n\r\nFor decades, moving invoice spend onto card meant building a rail or signing suppliers up one at a time. Both are slow, and both leave most of the volume behind. Sunlight takes a different path. Because our agents pay through the portals suppliers already use, the network reaches every supplier without any of them having to join it.\r\n\r\nAP platforms and bank card programs issue their own cards, send them to us, and capture the interchange on volume that would otherwise have defaulted to ACH or check. We are the AI infrastructure layer that makes that volume reachable.",
    "one_liner": "The intelligence and execution layer for agentic B2B card payments.",
    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1655927638,
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    "batch": "Summer 2022",
    "status": "Active",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sunlight",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sunlight.json",
    "year_founded": 2021,
    "city": "New York City",
    "country": "US",
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        "user_id": 1011212,
        "full_name": "Guy Ziv",
        "title": "Founder",
        "founder_bio": "Guy Ziv is the Co-Founder and CEO of Sunlight, a seasoned business executive, and entrepreneur with a wealth of experience in introducing disruptive technologies to medium and large financial institutions worldwide. With a robust background in product delivery, sales strategy, and execution, Guy has a track record of successfully forming dozens of strategic partnerships and delivering innovative solutions in the ever-evolving realm of financial technology.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gyziv/",
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      {
        "user_id": 982039,
        "full_name": "Leo Chanea",
        "title": "Founder",
        "founder_bio": "Product executive, entrepreneur & community expert with a versatile experience in building sticky products. Ex-Moovit (acquired by Intel)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leo-chanea-12545a40/",
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      {
        "user_id": 1012285,
        "full_name": "Gil Peretz",
        "title": "Founder",
        "founder_bio": "Gil Peretz is an experienced and passionate entrepreneur in the tech space. With a background in R&D, he has held positions such as Group Manager at Moovit, and has a wealth of experience in building high performance systems serving 1B+ users. His expertise spans from integrating systems, data scraping, and modeling on a large scale.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gil-peretz-25404031/",
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      {
        "id": 64261,
        "title": "Sunlight🔆- The Universal Card-on-File API",
        "tagline": "Meet Sunlight, the API to change the card-on-file with apps and subscription services.",
        "body": "Guy, Gil and I are thrilled to introduce [Sunlight](https://www.sunlightapi.com/) to help Fintechs automatically make their cards top-of-wallet immediately after they're issued! \\\n\\\n**Card-on-file is the digital commerce growth engine:**\n\n82% of consumers use digital payments. Merchants, service providers and subscriptions-based businesses everywhere now offer their customers the ability to save a debit/credit card on file, so they can pay their bills on time, buy in one click, or earn rewards. And globally, 79% of consumers currently have saved a card on file or are open to doing so.\n\n\\\n**The Problem:**\n\nIn recent years, card-issuing-as-a-service has made it easy for any company to start their own card business, leading to an all-time high in the number of cards issued in 2021. For users, however, switching banks or opening a new credit card account comes with an additional hurdle: they need to update their payment info across multiple services. And on the other side of the equation, financial institutions that are issuing those cards are struggling to get their users to switch their spend from their old card to the new one. FIs have a very low conversion rate because they have no visibility and no control over the card-on-file updating process.\n\n**The Solution:**\n\nWith our universal get-your-card-on-file API, FIs can offer their users at any point in their journey a quick and easy way to update their debit/credit card info everywhere they shop or pay online, without ever leaving their Apps. The Sunlight API works on every platform that has a card-on-file option (think Uber, Amazon, Netflix, DoorDash, Starbucks and so many more…), is as seamless as a Plaid connection, and always gets the card number right and CVV code on the first try!\n\n\\\n**Our Ask**\n\nIf you’re offering cards to your users and want to increase the usage of those cards to generate more revenue, email [founders@sunlightapi.com](https://mailto:founders@sunlightapi.com) to skip the waiting list and start using our API!\\\n\\\nCheck out our website: [sunlightapi.com](https://www.sunlightapi.com/)\n\n🚀☀️",
        "url": "https://www.ycombinator.com/launches/GiT-sunlight-the-universal-card-on-file-api",
        "votes": 98,
        "created_at": "2022-07-01T13:10:07.642Z"
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    "id": 26756,
    "name": "Midplane",
    "slug": "midplane",
    "former_names": [
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      "WithIda"
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    "website": "https://midplane.ai/",
    "all_locations": "Berlin, Berlin, Germany; Remote",
    "long_description": "Companies are connecting AI coding agents like Cursor and Claude directly to their databases — where one wrong command can delete data or leak customer records. Midplane sits in between and controls what each agent is allowed to do: it blocks dangerous queries, hides sensitive data, and keeps a record of everything the agent touches. It’s open source, and runs either as a hosted service or on your own servers.",
    "one_liner": "The safety layer between AI agents and your database",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "country": "DE",
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        "user_id": 825709,
        "full_name": "Dustin Lange",
        "title": "Founder",
        "founder_bio": "Dustin is co-founder of Midplane. Dustin has 8.5 years of industry experience at Amazon as Machine Learning Scientist and Applied Science Manager. He founded a team that built tools for data quality measurement and cleaning, including Deequ (2.4k+ stars on GitHub). Dustin later owned data products powering the Amazon product search page, used by millions of users every day. Dustin holds a PhD in database systems from Hasso Plattner Institute, Potsdam, Germany.",
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      {
        "id": 79742,
        "title": "IvyCheck – Guard against AI risks with real-time checks",
        "tagline": "An API for ensuring the integrity and safety of your AI application",
        "body": "**TL;DR:** [IvyCheck](https://www.ivycheck.com/) offers an API designed for classifying user- and AI-generated texts, along with extracting sensitive data. Our specialized machine-learning models ensure the safety and quality of your AI app in real-time.\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/1100f870-2ce1-44f4-a45f-2c1f640a2867)\n\n### What are AI risks?\n\nAI-powered interfaces such as chatbots emerge and pose **new AI risks:**\n\n* **Prompt Injection Attacks:** Attackers try to manipulate language models to execute unauthorized actions or access sensitive data. These attacks exploit the way AI interprets inputs as natural language text. Prompt injection attacks create a risk that spans from data exfiltration to influencing decision-making processes.\n* **PII Data Leakage:** Customers may include sensitive data in requests that are then sent to LLM providers. Companies must ensure that sensitive data is detected and redacted from requests.\n* **Hallucinations:** Chatbots in RAG applications use context retrieved from document stores, posing the risk of hallucinated, inaccurate, off-topic, or made-up information to users. IvyCheck evaluates whether chatbot answers are faithful to the provided context.\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/84a94c2d-9885-461e-a9f0-0724ccf1748a)\n\n### How does IvyCheck help?\n\nIvyCheck provides a library of checks for managing AI risks in your application. IvyCheck is:\n\n* **Flexible**: You can add checks to your LLM app with **just 2 lines of code** and protect your users and your data from prompt injection attacks, PII data leakage, and hallucinations. Works regardless of which LLM provider you use in your app.\n* **Secure**: We use customized, fine-tuned models for the checks. We self-host all our models and your data is not sent to third-party model providers.\n* **Fast**: Since the models are small and specialized, you can expect a latency under 100-200 ms. If you require even faster endpoints, please get in touch!\n\n### The founding team\n\n![uploaded image](/media/?type=post&id=79742&key=user_uploads/825709/6e2a1539-300a-4ab5-ac5a-46318b4e89d2)\n\nWe’re [Tammo](https://de.linkedin.com/in/tammo-rukat-34529471) (left) and [Dustin](https://www.linkedin.com/in/dustin--lange/) (right). We met at Amazon, where we were part of the Core Machine Learning team in Berlin. We worked on systems for large-scale data quality checks, missing value imputation, and search filter optimization. We’re both obsessed with delighting our customers and solving their toughest challenges! Let’s create a safer world with AI.\n\n### How do I get started?\n\nVisit [https://ivycheck.com](https://ivycheck.com/) or [book a call](https://ivycheck.com/request-demo) directly with us. We’d love to get in touch and help you make your AI app safe today!",
        "url": "https://www.ycombinator.com/launches/KkA-ivycheck-guard-against-ai-risks-with-real-time-checks",
        "votes": 5,
        "created_at": "2024-03-27T14:54:09.208Z"
      },
      {
        "id": 74336,
        "title": "Deekard - Instant answers from your database with AI",
        "tagline": "Stop waiting on data teams, guessing at undocumented schemas, and debugging SQL. Start getting answers.",
        "body": "**TLDR:**\n\nDeekard is your one-stop shop for fast and easy data analysis. Just enter your database details, ask your burning questions, and let Deekard do the rest. Forget waiting on your data team - it’s time to get your answers fast.\n\n**Problem:**\n\nYou are collecting data about your business and want to become more data-driven in your decision-making. But you’re hitting some speed bumps:\n\n* **Waiting game:** You’re stuck in a queue, waiting for your data team to free up and handle your request. They can’t update the dashboards fast enough or don’t have time to work on your ad-hoc data requests.\n* **No time to write SQL**: You’ve got a business to run, not a course in SQL to take. It should be simple to run your database queries, not a guessing game.\n* **Documentation? What documentation?** You look at your team’s data warehouse and you don’t understand what’s in there. There’s no documentation and you have no idea if that column really contains the data you hope for.\n\n**Solution**\n\nDeekard gives you a powerful, integrated analytics experience - powered by AI. Connect your database and you’re ready to go.\n\n![uploaded image](/media/?type=post&id=74336&key=user_uploads/825709/f9b112f8-94be-4f61-a329-3ce789b49b53)\n\n* **Requests in plain English**: Get started with your request in natural language and Deekard takes care of translating it into a database query. Refine your request with a graphical query builder - or just edit the plain English request. You can also switch to SQL mode - _and back -_ whenever you like.\n* **Explore your database**: See what’s _inside_ your database. Deekard automatically profiles your data and creates that missing documentation for you. This helps with writing queries that actually work.\n* **Team effort**: Share the AI-powered query editor and unblock your whole team. They can instantly reuse your database connection and ask their own questions.\n\n![uploaded image](/media/?type=post&id=74336&key=user_uploads/825709/3623b336-0a6f-44ec-a3f8-9c8d5babf861)\n\n**Ask:**\n\nTry Deekard! Start at [deekard.com](https://www.deekard.com). Tell us what you think at [founders@deekard.com](mailto:founders@deekard.com).\n\nIf you have a few min for a chat about Deekard, please book time with us [here](https://calendly.com/d/dxz-ddm-67k/deekard-call).\n\nThank you!\\\nDustin and Tammo",
        "url": "https://www.ycombinator.com/launches/JKy-deekard-instant-answers-from-your-database-with-ai",
        "votes": 15,
        "created_at": "2023-08-23T13:49:23.717Z"
      },
      {
        "id": 71231,
        "title": "🤖 Deekard - Your autonomous assistant for data science and analytics",
        "tagline": "We use generative AI to make all data tasks effortless and accessible: extract, transform, analyze, and visualize data using only natural language.",
        "body": "Hey everyone! We’re Tammo and Dustin from [Deekard](https://www.deekard.com/).\n\n**_TL;DR:_** _Deekard is an all-in-one data science and analytics assistant. Connect your data source and get any question answered and any task executed, using only natural language. Powered by GPT-4, our AI model understands your intent, plans workflows, and executes them step-by-step._\n\n**The Problem**\n\nData science involves a wide range of skills, tools, and formats, which can be challenging to learn and manage. Tasks like extracting data with SQL, training machine learning pipelines with Python, and visualizing data using frameworks such as Vega are time-consuming, iterative, and error-prone.\n\n**Our Solution**\n\nDeekard simplifies data science by offering a chat interface where you simply state what you want to do and watch the AI select the right tools in the right order. Like in a data science notebook, you can refer to previously created datasets and refine or combine them later in the conversation. Data science has never been easier or more approachable.\n\n![uploaded image](/media/?type=post&id=71231&key=user_uploads/825709/1d06fb3a-336e-4c6f-b93a-ce38f4a0a6f1)\n\n**Features**\n\n📚 Database: Write queries in natural language and let Deekard translate them into SQL for you! Simply state your query, and you'll receive the result table.\n\n🐍 Python: Transform data or apply machine learning models with ease. Just write your request, and Deekard translates it into Python code and executes it. You'll get the results in no time.\n\n📊 Visualization: Generate charts with natural language. Deekard translates your request into Vega-Lite specifications and creates beautiful visualizations. Apply changes to charts just by writing them down.\n\n🧠 Wikipedia: Enrich your datasets by retrieving tables from Wikipedia. Just write your request, and Deekard will access the world's greatest knowledge base for you.\n\n🎯 Task Organization: Write complex requests, and Deekard will split them into multiple tasks that are executed in the right order.\n\n**Start Today**\n\nYou can start using Deekard today at [deekard.com](http://deekard.com). \n\nThank you for your support, and we look forward to hearing your thoughts on Deekard! 🎉",
        "url": "https://www.ycombinator.com/launches/IWt-deekard-your-autonomous-assistant-for-data-science-and-analytics",
        "votes": 13,
        "created_at": "2023-04-27T14:07:14.366Z"
      }
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    "id": 26768,
    "name": "Disclo",
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    "website": "http://www.disclo.com",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Disclo is the first software for employers to collect, verify, and manage health disclosures and employee accommodation requests (HIPAA and SOC2 compliant, of course).\r\n\r\nWe help employees secure the enhancements and protections they need to succeed in their careers without having to disclose their underlying medical condition to their employer. We handle the collection of that data, the verification, the secure data management, and much more.\r\n\r\nUsing our patent-pending medical verification system, Disclo validates that an employee's accommodation request is legitimate and required, interacting with medical providers directly, so HR managers can focus on what they do best. We help companies stay compliant with EEOC, ADA, and HIPAA guidelines.",
    "one_liner": "Health disclosure and accommodation management platform",
    "team_size": 10,
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    "subindustry": "B2B -> Human Resources",
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    "year_founded": 2019,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/disclo/",
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        "user_id": 1038798,
        "full_name": "Hannah Olson",
        "title": "Founder",
        "founder_bio": "Hannah Olson is the Co-Founder and CEO of Disclo, the first software helping employees safely ask for, verify, and act on accommodation requests at work. Hannah’s own experience navigating her career while undergoing intensive treatment for Lyme disease sparked the idea for her first venture, Chronically Capable, which became one of the largest and most-used disability recruiting platforms in the world. ",
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        "linkedin_url": "http://www.linkedin.com/in/hanrosols",
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        "user_id": 291328,
        "full_name": "Kai Keane",
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        "linkedin_url": "https://www.linkedin.com/in/kaikeane",
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      {
        "title": "Hannah Olson",
        "url": "https://www.forbes.com/profile/hannah-olson/?list=30under30-enterprise-technology/&sh=1340907742ea",
        "date": "Nov 28, 2023"
      },
      {
        "title": "The Fight Over Return-to-Office Is Turning Into a Disability Dispute - WSJ",
        "url": "https://www.wsj.com/lifestyle/careers/the-fight-over-return-to-office-is-turning-into-a-disability-dispute-fc5538e2",
        "date": "Nov 02, 2023"
      },
      {
        "title": "Pitch Deck Disclo Used to Raise $5 Million From General Catalyst",
        "url": "https://www.businessinsider.com/pitch-deck-disclo-used-to-raise-5-million-general-catalyst-2023-2",
        "date": "Feb 21, 2023"
      },
      {
        "title": "Disclo aims to inspire inclusive workplaces - starting with disability accommodations • TechCrunch",
        "url": "https://techcrunch.com/2023/02/01/disclo-aims-to-inspire-inclusive-workplaces-starting-with-disability-accommodations/",
        "date": "Feb 01, 2023"
      },
      {
        "title": "Only 4% Of Employees Disclose A Disability, But New HR Tools And Training Could Upend That Trend",
        "url": "https://www.forbes.com/sites/denisebrodey/2022/10/18/only-4-of-employees-disclose-a-disability-but-new-hr-tools-and-training-could-upend-that-trend/",
        "date": "Oct 19, 2022"
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    ],
    "launches": [
      {
        "id": 64946,
        "title": "Disclo - Health disclosure and accommodation management platform",
        "tagline": "Helping companies provide workplace accommodations in a safe & compliant manner",
        "body": "_TLDR;_ [_Disclo_](https://www.disclo.com/) _helps employers maintain compliance by verifying, managing, and reporting on disability disclosure and accommodation requests in the workplace. We’re helping qualified employees secure the accommodations they need to succeed at work without having to disclose their underlying medical condition to their employer._\n\nHi everyone! We’re [Hannah](https://www.linkedin.com/in/hanrosols/) & [Kai](https://www.linkedin.com/in/kaikeane/), the co-founders of Disclo. In two years, we built one of the most-used disability recruiting platforms in the world, [Chronically Capable](https://www.wearecapable.org/). Through working with leading employers such as Meta, Levi Strauss, Lululemon, and more, **we landed on a major pain-point in today’s workplace: health disclosures are complicated, messy, and come with risk for both employees and companies.**\n\n![uploaded image](/media/?type=post&id=64946&key=user_uploads/1038798/3c6fec5f-786e-4dea-840f-98d2f0850031)\n\nWe are dedicated leaders in the disability community, and our co-founder Hannah experienced this pain-point herself when she entered the workforce after college and struggled to disclose her chronic illness. **We’re here to support over 60% of adults in the U.S. who live with some form of chronic health condition or disability.**\n\n### ❌ Managing employee health disclosures is extremely messy, risky, and expensive for employers\n\n1. It is illegal to store medical data inside of an HRIS (eg. Workday)\n2. Disability lawsuits now make up ⅓ of EEOC cases…and they’re on the rise!\n3. HR teamss are spending an enormous amount of time managing requests\n4. HR managers are not equipped to handle requests. They also do not have medical knowledge to deem requests as “reasonable”.\n\n### ✅ It’s Disclo time! Here’s how we’re tackling this massive problem in today’s workforce\n\n1. Integrate with your HRIS and collect employee accommodation requests in a compliant and confidential manner.\n2. [Disclo](https://www.disclo.com/) verifies the necessity and validity of requests directly with medical providers. \n3. Administer workplace accommodations and manage requests in our HIPAA and SOC2 compliant portal.\n4. Real-time data on costs, time spent, aggregated health data, cost of accommodations and more. + Track against EEOC and ADA requirements!\n\n![uploaded image](/media/?type=post&id=64946&key=user_uploads/1038798/f3f8b413-2a92-4851-874d-355287402a1c)\n\n### ❓Do you know HR or Employee Relations professionals?\n\nWe’re looking to connect with HR leaders looking to stay compliant while supporting the needs of their employees. If you know one, or are one, come Disclo with us! Feel free to send us an email at [founders@disclo.com](mailto:founders@disclo.com). And [join us on LinkedIn](https://www.linkedin.com/company/disclo/) too!",
        "url": "https://www.ycombinator.com/launches/GtW-disclo-health-disclosure-and-accommodation-management-platform",
        "votes": 196,
        "created_at": "2022-07-27T20:24:29.340Z"
      }
    ]
  },
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    "id": 26770,
    "name": "Bridgecard",
    "slug": "bridgecard",
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    "website": "https://bridgecard.cards",
    "all_locations": "Lagos, LA, Nigeria",
    "long_description": "Bridgecard makes it easy for fintechs to issue MasterCard or Visa cards that work anywhere in the world. We provide easy-to-integrate APIs to issue virtual and physical cards and we can get you started in weeks instead of months.\r\n\r\nFor nearly three years, we’ve supported Africa’s top startups with stable, high-growth card solutions. Thanks to our stability, over 50% of our clients have grown their volumes by more than 5X within 6 months. Our commitment is to deliver great cards that work, provide reliable support, and unbeatable uptime so that your users can be satisfied.",
    "one_liner": "Card issuer for Africa",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1660576632,
    "tags": [
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      "B2B",
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      "Africa",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bridgecard",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/bridgecard.json",
    "year_founded": 2021,
    "city": "Lagos",
    "country": "NG",
    "linkedin_url": "https://www.linkedin.com/company/mybridgecard/?viewAsMember=true",
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      {
        "user_id": 1003803,
        "full_name": "Tunde Adewole",
        "title": "Founder",
        "founder_bio": "Building Awaithumans, the infrastructure that lets AI agents hand off tasks to humans or other agents with a single function call.\n\nI previously scaled Bridgecard (YC S22) to over $1M ARR before exiting. I love machine learning, recently trained an embedding model (SearchMap Preview) to outrank Gemini on the MTEB leaderboard with 5k+ downloads on Hugging Face.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/tunde-adewole-b223729a/",
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      {
        "user_id": 1008256,
        "full_name": "Festus Owumi",
        "title": "Founder",
        "founder_bio": "Festus is a Senior Software Engineer with experiences ranging from Mobile, Machine Learning and Backend Development. He has 5 years experience with companies offering financial services in Africa including TradeDepot, Kippa e.t.c. ",
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        "linkedin_url": "https://linkedin.com/in/owumi-festus-3151aa172/",
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    "launches": [
      {
        "id": 65391,
        "title": "Bridgecard 💳 The card issuer for Africa",
        "tagline": "Meet Bridgecard, we help fintech companies issue cards in Africa. ",
        "body": "Hello 👋, we are Tunde and Festus, the founders of [Bridgecard](https://issuecards.bridgecard.co).\n\n**The problem 😓:**\n\nData has become affordable in most parts of Africa, for example, the price of mobile data has dropped by over 75% in Nigeria over the past 5 years.\n\nLocal people have started consuming global services like Netflix, AWS, AliExpress, Udemy, etc. but don’t have a card to pay for these services. Local banks in Africa haven’t been able to support international transactions on the local currency cards.\n\nI traveled to the US for the first time 2 months ago and almost got stranded at the airport because I found out that Uber in SanFrancisco does not accept cash and my local bank card didn’t work. I was able to hack together a card, add it to the app, and Uber down to my location.\n\n**Our Solution 💳:**\n\n[Bridgecard](https://issuecards.bridgecard.co) makes it easy for any fintech company to issue their customers a card that will carry a MasterCard or Visa logo and work anywhere in the world.\n\nWe provide easy-to-integrate APIs to issue virtual and physical cards and we can get you started in 5 days or less.\n\nMy co-founder and I got into YC to build something different but our previous card issuer stopped supporting over 20 other companies and us in Nigeria alone so we couldn’t keep our product in the market.\n\nWe woke up one morning and decided to be the card issuer ourselves.\n\n**Ask 🤝:**\n\nIf you’re building a fintech product and you need to issue cards in Africa, check out [Bridgecard](https://issuecards.bridgecard.co) or send me a mail at [tunde@bridgecard.co](mailto:tunde@bridgecard.co).\n\nWe’ll be glad to work with you.",
        "url": "https://www.ycombinator.com/launches/H0h-bridgecard-the-card-issuer-for-africa",
        "votes": 28,
        "created_at": "2022-08-16T07:56:19.887Z"
      }
    ]
  },
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    "id": 26780,
    "name": "Stellar",
    "slug": "stellar",
    "former_names": [],
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    "website": "http://www.stellarapp.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "A fool-proof goals platform using GPT to help teams write and track SMART goals at every level. Automates manual, redundant tasks that take time away from team’s high-impact contributions.\r\n",
    "one_liner": "AI-powered business goals",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1662916743,
    "tags": [
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      "B2B",
      "Productivity",
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    "batch": "Summer 2022",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/stellar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/stellar.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Aaron Epstein",
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    "founders": [
      {
        "user_id": 997645,
        "full_name": "Angela Dao",
        "title": "Founder",
        "founder_bio": "Angela is the co-founder and CEO of Stellar. Before Stellar, she was a Product Management leader with almost a decade of experience scaling high growth startups. As an early product manager at Affirm, she scaled its nascent consumer product to $2B in annual volume, launched the Affirm Marketplace, and grew their omnichannel vertical by 2x. She was also an early product manager at Earnin, a fintech unicorn, where she launched the mobile app to multiply WAUs and transform unit economics.",
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        "user_id": 1053750,
        "full_name": "Elise Nguyen",
        "title": "Founder",
        "founder_bio": "Elise is the co-founder and CPO of Stellar. Before founding Stellar, she was a Product Design leader at LinkedIn where she grew and scaled the Career’s design team (Job seekers, Salary, Talent brand, and Equity team) for LinkedIn's $6B Talent Solutions business. She has also worked at Symphony, the Slack for bankers, where she launched the first mobile experience for financial bankers, enabling bankers to work from anywhere. ",
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        "user_id": 1012066,
        "full_name": "Quan Zhou",
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        "founder_bio": "Quan is the technical cofounder of Stellar and is passionate about technology that makes teams more effective and collaborative. Prior to Stellar, he was an early engineer at an HR unicorn Pave (S20) and built the technology stack from the ground up. Quan previously worked at Affirm (where he met Angela) and was on Bridgewater Trading technology team. He holds an engineering degree from Princeton. ",
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        "id": 72653,
        "title": "Stellar 📈 - AI-powered OKRs",
        "tagline": "Turn your strategy into company-wide goals with AI",
        "body": "**TL;DR** - Implementing an OKR process that works for your team can feel impossible. [Stellar](https://www.stellarapp.io) drives alignment with an AI-powered OKR platform that simplifies writing and tracking goals.\n\nHi everyone - we’re Angela, Quan and Elise! Stellar is launching an AI product to tackle the biggest obstacles startups face when implementing OKRs.\n\n### **Problem**\n\n* **Writing cascading goals is hard -** after defining topline lagging metrics (revenue, churn, LTV, etc), each team member might not know how to write SMART goals that ladder up to them.\n* **Operational best practices are a mystery -** it’s hard to know where to start when creating a goal management process.\n* **A hero is required to drive accountability** - someone needs to step up to implement and enforce the process throughout the quarter, in addition to their full time job.\n\nIntroducing Stellar AI – a copilot for every employee that simplifies writing SMART, cascading goals and derisks them throughout the quarter.\n\n### **How it works**\n\nAnswer 4 simple questions and Stellar spins up a customized OKR workspace. An integrated experience uses GenAI to write your unique inspiring top-line goals and cascading domain-specific goals at all levels.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/6097185e-9f26-4846-aaea-cdea8c355d6f)\n\nOnce goals are written, Stellar automates a recurring check-in process for your team throughout the quarter and year. These updates create an agenda for business reviews.\n\nStellar’s smart notification system drives accountability, resulting in an average of 85% of all goals being updated weekly. Additionally, If someone is stuck on a goal, Stellar AI recommends domain-specific next steps to help unblock them.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/a2337bf7-ef1d-44d1-989d-d05a59590a07)\n\n### **Want to learn more?**\n\nBook [a demo](https://www.stellarapp.io) or reach out to [founders@stellarapp.io](mailto:founders@stellarapp.io), we’d love to show you what we’re building!\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/445e9f52-6e46-4c50-9096-0a099bb32ab2)\n\n",
        "url": "https://www.ycombinator.com/launches/Itp-stellar-ai-powered-okrs",
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        "created_at": "2023-06-29T17:35:17.450Z"
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        "id": 65966,
        "title": "Stellar - Don’t let your team’s OKRs slip in 2023! 📈🌟",
        "tagline": "A goal tracking platform that drives agile collaboration and accountability. ",
        "body": "👋 We’re [Angela](https://www.linkedin.com/in/angeladao/), [Elise](https://www.linkedin.com/in/elisetnguyen/) and [Quan](https://www.linkedin.com/in/quanzhou1/), the co-founders of [Stellar](https://www.stellarapp.io/)! We were early hires at multiple unicorns and saw OKRs both fail and succeed. The orgs that get it right are those that act quickly and adapt to new information consistently over time.\n\nStellar is a goal tracking platform focused on agile communication so your team has a fighting chance of hitting their OKRs.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/a7331fc6-b81e-4306-90a5-15f1ff0d625f)\n\n### **The problem with OKRs**\n\nSetting business goals is easy, but iterative execution is hard.\n\nToo many companies set OKRs, forget them in an isolated document and then realize they haven’t made sufficient progress. When OKRs aren’t reassessed openly on a recurring basis, you miss the opportunity to motivate your team, collaborate and unblock progress together.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/ed098364-c2e7-449f-9436-f637d0041fc2)\n\nThe designated responsible person (usually a founder or Chief of Staff) spends hours a week running this process, when they could be working on strategic work.\n\n### **Achieve your goals with confidence**\n\nIf you’re ready to embed OKRs and agile collaboration in your organization, Stellar will help you:\n\n1. Stay focused and organized by linking your goals in an OKR tree\n2. Raise and remove blockers quickly through effective, asynchronous check-ins\n3. Save time with scheduled notifications and automatic reminders about missing updates\n\n### **Interested?**\n\n**We’re offering 50% off for the next 20 companies!**\n\nIf you’d like a demo: grab time on our [Calendly](https://calendly.com/angdao/stellar-demo?month=2022-12) or reach out directly to [founders@stellarapp.io](mailto:founders@stellarapp.io)! We’re excited to learn more about your unique use case and help you crush your 2023 goals.\n\n### **Our Team:**\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/f5922eac-b00b-4274-9ce9-9e125fbf2136)\n\n**👐 Quan is our hands, building exceptional products:** founding software engineer at Pave (YC S20), tech lead at Affirm, and engineering degree from Princeton. \n\n**👁️ Angela is our eyes, looking toward the future:** early product manager at Affirm and Earnin. \n\n**👂 Elise is our ears, listening and designing for users:** product design leader at LinkedIn.\n\n\\- Angela, Elise & Quan",
        "url": "https://www.ycombinator.com/launches/H9y-stellar-don-t-let-your-team-s-okrs-slip-in-2023",
        "votes": 89,
        "created_at": "2022-09-09T23:59:31.166Z"
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        "full_name": "Julian Rowlands",
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        "date": "Jul 19, 2022"
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    "name": "Windmill",
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    "long_description": "Windmill is an open-source developer platform that turns scripts into workflows, internal tools, and full-stack apps.\r\n\r\nWrite scripts in Python, TypeScript, Go, Bash, Rust, SQL - Windmill auto-generates UIs from their parameters, handles dependencies, credentials, permissions, and scheduling so you focus on business logic, not infra.\r\n                                                                                     \r\nOpen-source alternative to Airflow, Temporal, Retool and n8n. Chain scripts into flows with branching, parallelism, retries. Build dashboards with the app builder. Trigger via cron, webhook, or UI. All-in-one runtime, editor, secret manager, and OAuth platform - enterprise-ready out of the box.\r\n                                                                                                                            \r\nStack: Rust / TypeScript + Svelte / PostgreSQL. Self-hostable, easy to deploy, built for performance and DX.",
    "one_liner": "Open-source platform to turn scripts into internal apps & workflows",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1651798285,
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        "full_name": "Ruben Fiszel",
        "title": "Founder",
        "founder_bio": "Ruben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, , built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an  open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.",
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        "title": "Founding Growth & Developer Marketing",
        "url": "https://www.ycombinator.com/companies/windmill/jobs/t7ToQBK-founding-growth-developer-marketing",
        "location": "Paris, Île-de-France, FR / Remote (FR; DE; GB; ES; IT)",
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        "id": 93199,
        "title": "Product Software Engineer",
        "url": "https://www.ycombinator.com/companies/windmill/jobs/aXpL7BC-product-software-engineer",
        "location": "Paris, Île-de-France, FR / Geneva, GE, CH / Remote (FR; CH)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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      {
        "id": 65264,
        "title": "Windmill: Turn scripts into internal apps and workflows",
        "tagline": "Fully open-source developer platform to turn any python, typescript, SQL into internal apps, integrations and workflows",
        "body": "## Developer platform for APIs, background jobs, workflows and UIs\n\nWindmill is an open-source developer platform to quickly build production-grade internal apps, workflows and integrations from scripts in Python, Typescript, Go, Bash, SQL.\n\nOpen-source alternative to Airplane and Pipedream. Simplified Temporal with automatic app generation. Usable as a self-hosted AWS Lambda.\n\nSync your scripts from your GitHub repo or write them directly on Windmill, have them be converted to apps and no-code modules automatically. Use those apps as standalone (triggered on demand, by webhook or schedule) or build powerful flows using those scripts. The experience is similar to no-code tools except that at any point, any module can have its code inspected and tweaked. Leveraging the open-source community, we will build an exhaustive library of scripts for all APIs and generic tasks on [hub.windmill.dev](https://hub.windmill.dev/).\n\nYou may also wrap Windmill with your own frontend to provide automation as a feature on top of your own SaaS.\n\nFocus on your business logic for all kind of flows, Windmill is the platform to build, share and run them.\n\n## Active Founders\n\n**Ruben Fiszel**\n\nRuben was top of his class MSc in CS at EPFL, did research on compilers from Scala to Hardware at Stanford, built the first open-source library for reinforcement learning for Java, built distributed systems at scale at Palantir and ran the engineering team at a Multi-Party Computation startup. He is now building Windmill, an open-source alternative to Retool, Pipedream, Airplane that contains the infra to run it and that you can deploy at scale.\n\n### The sweet spot between low-code and code from scratch\n\n### Open-source and self-hostable alternative to Pipedream and Airplane. Simplified Temporal\n\nTo build internal apps for ops, integrations between services that cannot talk to each other directly, or to run background jobs that run your business logic and analytics, the two main options today are no-code solutions and old-fashioned, roll-your-own scripting. Both have problems, and our goal with Windmill is to find a new sweet spot between the two. No-code solutions are productive _if_ your problem matches the tool exactly - but if not, they are rigid, hard to extend and quickly become tech debt, annihilating their initial time advantage. Indeed, no-code is just code but made by an opinionated someone else and hidden as a blackbox with an UI.\n\nThe alternative is to do it the old-fashioned way, writing everything from scratch, both backend and frontend, perhaps deploying it on the latest flavor of serverless, and pray to never have to touch it again because that took way too much time and it has now became a burden that the ops and business team might poke you about regularly.\n\nFurthermore, the landscape of SaaS is specialized tools for everything—alerting, data analytics, administration panels, support management, integration between services—when it feels like a few scripts and some SQL would have been as good or even better and spared you the need of depending on one yet another tool. This could be even further facilitated if there was a way to import the right bunch of scripts from a fellow community of engineers, tweak it and deploy it like you can do in communities where automation can be shared as simple JSON files, for instance in the node-red or home assistant community… That’s the idea of Windmill: to bring back the power of scripting in an easy but high-scale production-grade way.\n\n## What are good use cases for Windmill\n\n1\\. The biggest pain we solve is to turn scripts that you would run on your own laptop as internal apps that you can share with your team.\n\n2\\. Avoid SQL queries to production in favor of templatized SQL made into apps instead (automatically!). Making live SQL queries is common in DevOps, support and ops in general. It can be very error-prone, stressful and inconvenient.\n\n3\\. Integrations between tools you already use but that are unable to talk to each other.\n\n4\\. Workflows, background jobs: code that runs very frequently to react to new events, transform data and run your business logic. Many companies are a frontend on top of a database, and that database is updated in the background. We make it possible to build those workflows from simple scripts so that you can build it faster, more reliable and easier to maintain.\n\n5\\. The last one only apply if you are a SaaS that wants to provide automation as a feature of your product, or a no-code tools yourself. Because we focused very much on the hard-engineering of orchestration and specs for workflows, you might simply want to wrap Windmill to offer it to your own clients.\n\n### Where is the catch, how do you make money\n\nWe make money from support, dual licensing of commercial licenses (for SaaS wrapping Windmill or for clients requiring it) and the hosted solution. On self-hosted, our Enterprise plan embedds:\n\n* SLA & Priority Support 24/7\n* Design partners for roadmap (priority on feature requests)\n* Enterprise-specific features (Audit logs, Distributed dependency cache backed by S3, SAML support etc.)\n\nWe are workflows experts and would be happy to support you to transition to clean code working on open-source software.\n\nYou can however self-host it for free forever as long as you do not go against the AGPL license (keep open-source or do not provide it as your service).\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/0fe6dab5-5378-4e2e-ad66-930378bbe8ac)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/5d176de7-2303-49de-adb4-9bb98c559506)\n\n![uploaded image](/media/?type=post&id=65264&key=user_uploads/229730/e1d39016-bd36-4241-b0df-a5f7799ef4f5)\n\n**Docs:** [https://windmill.dev](https://windmill.dev/)\n\n**Hosted app:** [https://app.windmill.dev](https://app.windmill.dev/)\n\n**Self-host (star us!):** <https://github.com/windmill-labs/windmill#how-to-self-host>\n\n**Discord to chat with the team/community:** <https://discord.com/invite/V7PM2YHsPB>\n\n**Schedule a demo:** <https://www.windmill.dev/book-demo>\n\n**Windmill on HackerNews:**\n\n* [Aug 9 2022, HN Launch](https://news.ycombinator.com/item?id=32400849)\n* [May 12 2023, Before v2](https://news.ycombinator.com/item?id=35920082)\n* [Nov 22 2023, Why Windmill is the fastest self-hostable workflow engine?](https://news.ycombinator.com/item?id=38383138)",
        "url": "https://www.ycombinator.com/launches/Gye-windmill-turn-scripts-into-internal-apps-and-workflows",
        "votes": 17,
        "created_at": "2022-08-10T13:00:24.836Z"
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    "id": 26796,
    "name": "Popsy",
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    "all_locations": "Ljubljana, Ljubljana, Slovenia; Remote",
    "long_description": "Popsy is an AI tool that finds you leads on Reddit and sends them hyper personalized DMs.",
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    "team_size": 2,
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      "Automation",
      "AI"
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        "linkedin_url": "https://www.linkedin.com/in/mlakarmiha",
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      {
        "user_id": 213658,
        "full_name": "Mourad Mourafiq",
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    "long_description": "Mistle is the open source alternative to Stripe Minions, Ramp Inspect and Shopify River. Instead of spending months building an internal platform, teams use Mistle to run collaborative background agents from day one.",
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        "full_name": "Jonathan Low",
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        "full_name": "Thomas Jiang",
        "title": "Founder",
        "founder_bio": "Thomas is the co-founder of Mistle.\n\nPrior, Thomas worked as engineer no. 2 in a B2B startup selling enterprise compliance software which was acquired.",
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        "title": "Honestbee co-founder’s new startup joins Y Combinator",
        "url": "https://www.techinasia.com/honestbee-cofounder-excto-joins-combinator",
        "date": "Jun 07, 2022"
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      {
        "id": 65425,
        "title": "🌊 Ajourney - Gusto for South East Asia (SEA)",
        "tagline": "Run payroll with one-click",
        "body": "Hi YC! We’re [Jonathan](https://bookface.ycombinator.com/user/878905), [Thomas](https://bookface.ycombinator.com/user/981080) and [Cayter](https://bookface.ycombinator.com/user/1005416).\n\n[**Ajourney**](https://ajourney.io) **is building Gusto for South East Asia (SEA).**\n\n### The Problem\n\nRunning payroll is a very repetitive activity. We’ve identified 3 areas that can be better.\n\nFirst, most payroll software in SEA act as a calculator to calculate compliance contributions but do not automate the other aspects of running a payroll such as:\n\n* Collection of attendance or commissions data for salary computation\n* Handling payments through bank and government portals\n\nSecond, hiring of remote contractors in SEA is increasing with greater adoption of remote working tools for small businesses. Manual payments have to be made separately from payroll.\n\nThird, businesses growing regionally in SEA usually outsource payroll as they do not want to build internal competency in payroll compliance for every market.\n\n### Our Approach\n\nAjourney helps businesses to manage their payroll end-to-end from data collection to disbursements, compliance filings and payments.\n\nWe reduce repetitiveness and time spent on payroll through integrations and workflow automation.\n\nBesides software, we offer customer support to help companies on their payroll compliance needs. Customers can enjoy the benefits of both in-sourced payroll and outsourced payroll through a single offering.\n\nWe are currently building our product for the Singapore market and will expand to more markets at a later date.\n\n![](https://ajourney.io/images/landing-page-payroll-9b16a6258953508db851b28b694af76a.png?vsn=d)\n\n## Our Team\n\nWe are 3 technical co-founders and can relate to the problem well because of previous pains we have experienced.\n\nI previously co-founded a groceries delivery startup in SEA. Payroll was messy - we outsourced and always had difficulty getting a consolidated view across markets.\n\nThomas worked with small medium businesses in a previous startup and saw the struggles of business owners running payroll manually on spreadsheets.\n\nCayter has wide exposure into payments and has seen the challenges and costs in handling payments across borders.\n\n### Our Asks\n\nIf you:\n\n\\- Are based in Singapore\n\n\\- and/or hire contractors remotely\n\n\\- and/or have expanded regionally\n\nWe’ll love to speak to you to understand how you are handling your payroll.\n\nIf you can make referrals to potential customers in Singapore, we will really appreciate it!\\\nDrop us a note at [founders@ajourney.io](mailto:founders@ajourney.io)\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/H1F-ajourney-gusto-for-south-east-asia-sea",
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        "full_name": "David Eberle",
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        "full_name": "Janis Berneker",
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        "title": "Typewise Nova: The customer operator for fast-growing teams",
        "tagline": "Customer service that runs itself, so you can keep building.",
        "body": "At YC, we move fast. But staying on top of customer requests can quickly turn into a second job, and it takes time away from building and growing.\n\nWe're **Typewise (S22)** and we built Nova to remove that tradeoff. Typewise resolves customer requests end-to-end. Nova is the AI operator that sets up, runs, and improves that system for you. Your first deployment takes about 15 minutes.\n\nTell Nova how you want customer requests handled, in plain language:\n\n* \"Handle refunds under $50 automatically.\"\n* \"Send enterprise-pricing questions to Sales.\"\n* \"Create a Linear issue for every bug report and assign it to Engineering.\"\n\nNova connects the relevant tools, configures the agents and workflows, and tests them against your past conversations. It shows you what it got wrong before anything goes live. Nothing ships without your approval.\n\nOnce live, Typewise handles requests 24/7. It understands the message, looks up the information in your systems, takes approved actions, and replies. Anything outside the boundaries you've set goes to a human.\n\nNova keeps improving the system. It spots recurring questions, complaints, and cases Typewise couldn't resolve, then proposes changes to the knowledge and workflows. You approve the changes before they go live.\n\n**See it in action, in hi-fi:**\n\n<https://www.youtube.com/watch?v=7XXOm19aUCQ>\n\n**Or in lo-fi:**\n\n<https://youtu.be/ojOL0Ux3Sx8>\n\n### Our launch gift\n\nWe strongly believe the product should do the talking, so **your first 1,000 resolutions or your first 3 months are on us**, whichever comes first.\n\nGive it a try!\n\nJanis &amp; David",
        "url": "https://www.ycombinator.com/launches/TpI-typewise-nova-the-customer-operator-for-fast-growing-teams",
        "votes": 21,
        "created_at": "2026-09-10T14:10:07.715Z"
      },
      {
        "id": 67181,
        "title": "Typewise Text Prediction API",
        "tagline": "Supercharge your software with \"Gmail smart compose\"-like predictions",
        "body": "Hi guys, we’re Janis and David on a mission to make daily lives easier by decoding human thoughts. We build text prediction software, which is used in various customer service and sales teams of large enterprises.\n\nWe’re now making the underlying API accessible to other developers, in case you’d like to supercharge your software with text prediction and autocorrect.\n\n### Features\n\n* 🔮 Sentence Prediction\n* 🖋️ Autocorrect & Grammar Check\n* 🧠 Custom AI Models\n* 🌎 Language Detection (40+ languages)\n* 🕵️‍ Emoji Search\n\n---\n\n![uploaded image](/media/?type=post&id=67181&key=user_uploads/737174/60471b62-a6f4-40af-9ca8-4ac7fb0c01d8)\n\n### Try for free\n\nAccess the API: <https://www.typewise.app/api>\n\n👉 The language models are fully customizable to your specific use case, [get in touch](https://mailto:info@typewise.app) to learn more.\n\nCheers,\\\nJanis & David",
        "url": "https://www.ycombinator.com/launches/HTZ-typewise-text-prediction-api",
        "votes": 19,
        "created_at": "2022-11-08T12:28:26.612Z"
      },
      {
        "id": 64168,
        "title": "Typewise – 🔥 boosting customer service & sales productivity by 2-3x",
        "tagline": "AI writing solution for businesses to save cost, increase customer satisfaction and sales conversion.",
        "body": "[**Typewise**](https://typewise.app/) **is a powerful AI writing solution for customer service and sales teams.**\n\nTypewise helps customer service and sales teams to:\n\n* Increase writing efficiency by >20%\n* Eliminate >97% of mistakes\n* Ensure brand coherence & tone of voice\n* Improve customer satisfaction (CSAT, etc.) & sales conversion\n* Save >8 hours per employee per month\n* Get 3-4X ROI\n\nOur AI text prediction technology outperforms Google & Co and was initially developed through our smartphone app with >2 million downloads.\n\nWe already work with Fortune 500 companies (software, e-commerce, logistics, insurance, telco).\n\n**What can Typewise do?**\n\n![uploaded image](/media/?type=post&id=64168&key=user_uploads/737174/1a0256c1-10b5-4def-a67d-40ac30271153)\n\n* Sentence prediction (autocomplete) and smart snippets\n* Proofreader (autocorrect and grammar check)\n* Auto replies\n* Real-time translation\n* Analytics & quality control\n\nOur AI language model gets trained on your company’s data to ensure consistent, on-brand communications across your business. We also incorporate your business metrics (CSAT, etc.) to surface what type of wording, phrases, etc. leads to better business outcomes, and suggest the most effective language automatically.\n\n**How does Typewise work?**\n\n💻 Browser extension + server-side API\\\n✅ Works with any CRM (e.g., Salesforce)\\\n🌐 Support for 40+ languages\\\n👍 No IT implementation effort / <8h setup time\\\n🔒 100% data privacy\n\n**Get a risk-free trial:**\n\nSchedule a 15-min live demo to discuss how we can boost your business!\n\n👉👉 [Get in touch with our CEO David](https://mailto:david.eberle@typewise.app)",
        "url": "https://www.ycombinator.com/launches/Ggy-typewise-boosting-customer-service-sales-productivity-by-2-3x",
        "votes": 26,
        "created_at": "2022-06-29T07:37:38.350Z"
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    "id": 26869,
    "name": "Sytex",
    "slug": "sytex",
    "former_names": [],
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    "website": "https://www.sytex.io",
    "all_locations": "Córdoba, Cordoba, Argentina; Remote",
    "long_description": "Sytex is a project management platform for Field Infrastructure, starting with Telecom.\r\nFor example, companies like Telefonica and Claro use Sytex to build and maintain their networks.",
    "one_liner": "Project management platform for Field Infrastructure.",
    "team_size": 22,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Latin America",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sytex",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sytex.json",
    "year_founded": 2019,
    "city": "Córdoba",
    "country": "AR",
    "linkedin_url": "https://www.linkedin.com/company/sytexpm",
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      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Mariano Lisiotti",
        "title": "Founder",
        "founder_bio": "Excited to simplify work for project teams worldwide.\nFather of 3. Telecom Engineer, former VP Projects for South America in NERA. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mariano-lisiotti-0635622/",
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        "full_name": "Juan Alvarez",
        "title": "Founder",
        "founder_bio": "Started coding mIRC scripts at 15 :)\nStudied telecom engineering, but have been coding and hacking on GNU/Linux ever since those first scripts. \nWorked for a corp and kind of hated it. \nLoving the founder rollercoaster ride so far. \nLearning a lot from my wonderful daughter. \nWannabe rock climber. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jualvarez/",
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      {
        "user_id": 347812,
        "full_name": "Juanjo Ferrero",
        "title": "Founder",
        "founder_bio": "Started coding in high school for fun and never stopped. Now building software that makes work feel less like… work.\nReally like online games 🤣.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/juanjo-ferrero-926026b9/",
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      {
        "user_id": 819585,
        "full_name": "Federico Garcia Dura",
        "title": "Founder",
        "founder_bio": "With over 15 years in the software industry, my passion has always been the same: being able to materialize a customer's need into a working solution.\nLove gliders, my guitar and rubik's cube :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/federico-garcia-dura",
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    "launches": [
      {
        "id": 65252,
        "title": "Sytex - Project management for industrial projects",
        "tagline": "Sytex helps project teams to deliver faster by empowering collaboration.",
        "body": "**Hi! we're Sytex, and we want everyone to have great connectivity, anywhere in the world.**\n\nTechnology-deploying industries, like energy and telecom, manage thousands of activities, field crews, documentation, and materials, all in parallel. For project teams, it's nearly impossible to keep up to date with everything that happens while executing, and that's where excel files start flying around.\n\nLarge companies have corporate platforms in place, but mainly to please the necessary management reports.\n\nAs a result, your own connectivity is compromised by delays, miscommunications, and worse of all, quality problems.\n\n## **Our Solution**\n\nAn OS for project teams deploying technology, that's great to use!\n\n* Design and create processes in minutes\n* Manage activities and documents with our mobile app\n* Integrate stock, contractors, quotations, checklists, and much more\n\nOur goal is to make it easier to deploy technology. Creating a community where project resources and field crews showcase their abilities is our next step. We believe this will help everyone to find and source the best talents, and thus, transform rollouts everywhere.\n\nWe are already working with the largest players in LATAM (Telefónica, Claro), Tower companies, and ISPs of all shapes and sizes.\n\n![uploaded image](/media/?type=post&id=65252&key=user_uploads/347622/e15df937-edb8-45e2-afeb-33b7e5a207b1)\n\n## **Who we are**\n\nWe're Mariano, Juan, Fede and JJ, all Telecom & Software Engineers, with experience delivering project mgmt software, planning, and sales for large industrial companies worldwide.\n\nIn our previous jobs we found that collaborating on information is the biggest driver for a project's success, but today is not encouraged by current software solutions.\n\n## **We’d love your support** 🍻\n\nWe love understanding new project scenarios, geographies, and companies.\n\nWant to give it a try? Know someone that faces these challenges?\n\nWe'd love to talk!\n\nEmail us at [info@sytex.io](mailto:info@sytex.io)",
        "url": "https://www.ycombinator.com/launches/GyS-sytex-project-management-for-industrial-projects",
        "votes": 325,
        "created_at": "2022-08-09T22:11:39.603Z"
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    "id": 26870,
    "name": "Thera",
    "slug": "thera",
    "former_names": [
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    "website": "https://www.getthera.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Thera is an AI-native ecosystem of apps to run a modern business: global payroll, treasury, spend management, invoicing/payments.\r\n\r\nThera works with hundreds of the world's leading companies like Oceans, 20four7VA, Landed, Zendrop, Oneleet, Codingal and Meru to supercharge their growth.\r\n\r\nBacked by Y Combinator, Amino Capital, Zillionize, 10x Founder, and many more. \r\n",
    "one_liner": "AI-Native Finance OS",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1661623746,
    "tags": [
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      "B2B",
      "Payroll",
      "AI",
      "Cryptocurrency"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/thera",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/thera.json",
    "year_founded": null,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/81929401/",
    "x_url": "",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "user_id": 527447,
        "full_name": "Akhil Reddy",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Thera (YC S22). Long-term vision. Near-term conviction.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/reddyakhil/",
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        "id": 74331,
        "title": "CTO - NYC",
        "url": "https://www.ycombinator.com/companies/thera/jobs/AyjjsZO-cto-nyc",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $270K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "id": 85422,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/thera/jobs/nY4iE3x-founding-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $250K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Kotlin"
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      },
      {
        "id": 94611,
        "title": "Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/thera/jobs/VYkRQRS-partnerships-lead",
        "location": "New York",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.01% - 0.50%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 94612,
        "title": "GTM Lead",
        "url": "https://www.ycombinator.com/companies/thera/jobs/srv7TEW-gtm-lead",
        "location": "New York",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.01% - 0.50%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "title": "Marketing Lead",
        "url": "https://www.ycombinator.com/companies/thera/jobs/tVxr66I-marketing-lead",
        "location": "New York",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.01% - 0.50%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95621,
        "title": "Staff Engineer",
        "url": "https://www.ycombinator.com/companies/thera/jobs/Udy8ryg-staff-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $250K",
        "equity_range": "0.01% - 0.47%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Java",
          "Kotlin"
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      },
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        "id": 102218,
        "title": "Content Creator (Copy Writer)",
        "url": "https://www.ycombinator.com/companies/thera/jobs/oEU6oCR-content-creator-copy-writer",
        "location": "NYC or Remote / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $90K",
        "equity_range": "0.01% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103867,
        "title": "CTO",
        "url": "https://www.ycombinator.com/companies/thera/jobs/kOKFeVl-cto",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $270K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 103868,
        "title": "Senior Software Engineer - NYC",
        "url": "https://www.ycombinator.com/companies/thera/jobs/GYrfyqF-senior-software-engineer-nyc",
        "location": "New York, NY, US",
        "type": "Full-time",
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        "id": 103869,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/thera/jobs/HBjwGu3-senior-software-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "",
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        "id": 116570,
        "title": "Product Manager (Remote)",
        "url": "https://www.ycombinator.com/companies/thera/jobs/Hl9JVDR-product-manager-remote",
        "location": "Remote",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$2K - $3K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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    "news": [
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        "title": "Thera scores $4M to make it easier to hire, pay global employees | VentureBeat",
        "url": "https://venturebeat.com/virtual/thera-scores-4m-seed-to-make-it-easier-to-hire-and-pay-international-employees/",
        "date": "Aug 22, 2024"
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    "id": 26872,
    "name": "Neosync",
    "slug": "neosync",
    "former_names": [
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Neosync is an open-source platform that allows you to create anonymized or synthetic data and sync it across all environments for testing and machine learning. Companies in highly regulated industries such as FinTech, HealthTech, InsureTech and those with sensitive data can use Neosync to create production-like data to use for debugging and building features in lower-level environments without the security and privacy risk of using production data. ",
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    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1656362334,
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      "SaaS",
      "B2B"
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    "nonprofit": false,
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    "status": "Acquired",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/neosync",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 2062726,
        "full_name": "Evis Drenova",
        "title": "Founder",
        "founder_bio": "Evis is the CEO/Co-founder of Nucleus. Before Nucleus, he was one of the first Product hires at Skyflow, a data privacy and security company, and led Product and GTM for the Fintech market from Seed -> Series B. Prior to Skyflow, he was Head of Product at Truedata, a Managing Consultant at IBM and started his career in Enterprise Sales at Experian and Oracle. He was born in Albania, grew up in Boston and currently resides in San Francisco.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/evisdrenova",
        "x_url": "https://twitter.com/evisdrenova",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9794d66ff66b64605d665552bec291fda9e4897.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Nucleus aims to simplify the process of managing microservices • TechCrunch",
        "url": "https://techcrunch.com/2023/01/16/nucleus-aims-to-simplify-the-process-of-managing-microservices/",
        "date": "Jan 16, 2023"
      }
    ],
    "launches": [
      {
        "id": 85312,
        "title": "Neosync - PII Detection and Anonymization in Free-form Text",
        "tagline": "Real time PII detection and redaction in structured and unstructured data.",
        "body": "We’re an open source data anonymization and synthetic data platform that companies like Intel, Siemens, C2FO, Alasco and others use to anonymize their sensitive production data and sync it to lower-level environments.\n\nToday, we’re launching a new product designed to detect and anonymize PII data in free-form text.\n\nThese are two main use cases:\n\n1. **Detecting and redacting PII data before sending it to an LLM for inference**. If you’re building agentic systems or working with LLMs and sensitive data, you shouldn’t be sending your sensitive data to those LLMs. You can now use our API to first detect and anonymize that data and then send it to your LLM provider.\n2. **Detecting and redacting PII data before training.** You generally want to avoid training a model on PII (especially if others will be using it). You can use our API to detect and redact free-form text in training data so that you’re not training it on PII.\n\nFor example:\n\nThe text:\n\n```\n{ text: \"Dear Mr. John Chang, your physical therapy for your rotator cuff injury is approved for 12 sessions. Your first appointment with therapist Jake is on 8/1/2024 at 11 AM. Please bring a photo ID. We have your SSN on file as 246-80-1357. Is this correct?\"}\n```\n\nWould be transformed to:\n\n```\nAnonymization result: '{\"text\":\"Dear Mr. \\u003cREDACTED\\u003e, your physical therapy for your rotator cuff injury is approved for 12 sessions. Your first appointment with therapist \\u003cREDACTED\\u003e is on \\u003cREDACTED\\u003e at \\u003cREDACTED\\u003e. Please bring a photo ID. We have your SSN on file as \\u003cREDACTED\\u003e. Is this correct?\"}' \n```\n\nYou can also customize this with custom allow/deny lists and even custom recognizers.\n\nWe’re already working with companies in Healthtech and Fintech on this and would love to open it up to more companies. If you’re interested in trying it out, shoot me a note at [**evis@neosync.dev**](mailto:evis@neosync.dev), and I can get you a sandbox and free credits to trial it.\n\n![uploaded image](/media/?type=post&id=85312&key=user_uploads/89898/ea3d02aa-68e7-4a21-8bd0-c35f9786490e)\n\n",
        "url": "https://www.ycombinator.com/launches/MC0-neosync-pii-detection-and-anonymization-in-free-form-text",
        "votes": 10,
        "created_at": "2024-11-06T01:45:44.699Z"
      },
      {
        "id": 64124,
        "title": "Nucleus - The Modern Backend Platform for Microservices",
        "tagline": "Nucleus automates security, observability, secrets management and more for microservices in a single platform.",
        "body": "**Nucleus is a platform that helps developers build, deploy and manage a production-grade microservices architecture in minutes.**\n\n### **Problem**\n\nBuilding a microservices architecture is complex and can easily take 6+ months. From our experience at our own companies and from talking with many engineering teams, we see that most engineering teams try to build this platform from scratch by piecing together AWS or GCP building blocks. The problem is that this is difficult, incredibly time consuming and if not done right, can be a massive security risk. You shouldn’t have to be an infrastructure and security expert to have a secure, scalable architecture. That’s where Nucleus comes in. \n\n**Who uses Nucleus?**\n\nCompanies that want to use microservices but don’t want to spend months building out their infrastructure. These can be early stage companies that are just starting out, to mid-market companies that are architecting for growth.\n\n**How it works**\n\nNucleus is delivered through an interactive CLI that helps you declaratively define your service. Here is an example of the declarative file:\n\n![uploaded image](/media/?type=post&id=64124&key=user_uploads/980900/fb0612aa-3ab3-4e0f-8a48-aa76dd40fb8b)\n\nHere is how to deploy a microservice:\n\n1. Install the CLI through homebrew and sign up for an account.\n2. Write your service’s code or use one of our example repos to quickly get started.\n3. Declaratively define your service using the interactive Nucleus CLI. All services are automatically authenticated and secured. Manage things like environment variables, secrets, and logging, all from the CLI.\n4. Deploy your service, and it will be available in less than 2 minutes.\n\n**Can I try it?**\n\nYes! We just kicked off our private beta and would love to have you test the system to the limits. To get started, just shoot us your email so we can add you to the allowlist. Easy as that!\n\n**The Ask**\n\n1. Try us out and give us feedback. We obsess over with the developer experience, and want to make it as intuitive and magical as possible.\n2. Talk to us about your backend :) We’re focused on microservices and want to learn more about what you like, don’t like or don’t know about them. Collectively, we have 25 years of experience in engineering & product. We can be a sounding board or help you design your architecture.\n\nHave questions? Shoot me an email at [evis@usenucleus.cloud](mailto:evis@usenucleus.cloud) or feel free to book some time directly here: <https://calendly.com/evis1/30min>",
        "url": "https://www.ycombinator.com/launches/GgG-nucleus-the-modern-backend-platform-for-microservices",
        "votes": 39,
        "created_at": "2022-06-28T01:18:30.749Z"
      }
    ]
  },
  {
    "id": 26877,
    "name": "Peoplebox.ai",
    "slug": "peoplebox",
    "former_names": [
      "Peoplebox Inc",
      "Peoplebox"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d90945bbd65aa37022870fefcb46d282f82e8624.png",
    "website": "https://www.peoplebox.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Peoplebox.ai is an AI-native talent platform used by 500+ companies to hire, manage, and grow their people.\r\n\r\nAt the center is Nova, the world’s most human-like AI teammate, for all talent conversations. Nova runs two-way voice/video pre-screen calls, first-round interviews (with coding round and advance proctoring), check-ins, and assessments,  all with your company’s context built in.\r\n\r\nThe talent management platform brings together OKRs/goals, performance reviews, career growth, calibration, and compensation into one unified system, helping companies align, assess, and develop talent faster.",
    "one_liner": "AI talent platform to hire, manage, and grow your people ",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1653465182,
    "tags": [
      "SaaS",
      "B2B",
      "Recruiting",
      "HR Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Human Resources"
    ],
    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/peoplebox",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/peoplebox.json",
    "year_founded": 2018,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/in/abhinavchugh/",
    "x_url": "https://twitter.com/peopleboxai",
    "fb_url": "https://www.facebook.com/peopleboxai",
    "cb_url": "https://www.crunchbase.com/organization/peoplebox-ai",
    "github_url": "https://github.com/Peoplebox",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d90945bbd65aa37022870fefcb46d282f82e8624.png",
    "app_video_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 213135,
        "full_name": "Abhinav Chugh",
        "title": "Founder",
        "founder_bio": "Abhinav is Co-Founder & CEO at Peoplebox. Previously co-founded VideoCrisp in Dublin - a cloud-based video creation platform recognised as one of the world's top 50 startups, featured in PBS and Silicon Republic. Also built Waybiz, a B2B trust marketplace spanning 80,000+ businesses across 110 countries. Holds a B.Tech from IIT Delhi and an MBA from UCD Smurfit Business School. Invited to the U.S. International Visitor Leadership Program (IVLP). Passionate about AI, startups & building globally.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhinavchugh/",
        "x_url": "https://twitter.com/abhichugh",
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      },
      {
        "user_id": 551,
        "full_name": "Alagu M",
        "title": "Founder",
        "founder_bio": "Alagu is Co-Founder at Peoplebox. Previously co-founded Askmile, India's popular online relationship counseling platform, and Markupwand (YCS22) a PSD to HTML software. Before founding, he led product at Practo driving 1M+ app downloads and expansion to 10 countries. Holds an engineering degree from NIT Trichy. Passionate about AI, badminton, yoga and Sushi.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alagu2/",
        "x_url": "https://www.twitter.com/alagu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/649a049547a0bb38bf536966a8e7be6e558807ac.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 95916,
        "title": "Nova: The world’s most human-like AI interviewer",
        "tagline": "Never screen a resume or do a first-round interview manually",
        "body": "**TL;DR:** [Nova](https://www.peoplebox.ai/nova?utm_source=yc_launch&utm_campaign=yc_post) speeds up your hiring by automating resume screening, interviews, live coding, and instant decision-ready reports - with the most human-like AI.\n\nhttps://www.youtube.com/watch?v=7D6qJRYV2Qc\n\n---\n\n## **The Problem**\n\nYou open your ATS. 300 applicants.\n\nYou start screening. After 10 resumes, everything looks identical.\n\nYou move to interviews.\n\nNo-shows. Rambling candidates. Zero panel bandwidth.\n\nAnd when interviews _do_ happen, **90% get rejected**, wasting everyone’s time.\n\nHiring shouldn’t mean spending most of your time on candidates who are **not a fit**.\n\n---\n\n## **Meet Nova: the digital twin of your best recruiter & interviewer**\n\nNova is really the digital twin of your best recruiter and interviewer, available 24/7.\n\nShe -\n\n1. screens candidates,\n2. makes sourcing calls & outreach,\n3. runs full voice/video interviews (with advance proctoring)\n4. do interactive coding round like an expert engineer\n5. provide detailed report with recommendation\n\nHere’s a real snippet of her interviewing a tech candidate:\n\nhttps://youtu.be/jNqugi34uOU?si=WyrdbA9V1gu9thF6\n\nNova takes over your **whole Level-1 process** so you can only focus on highly vetted candidates\n\nAnd she doesn’t stop there.\n\nShe also finds candidates for you, reaches out via InMails, email sequences, and even phone calls and books the first-round interview directly with herself 😉\n\nInbound, outbound, or referral, Nova owns everything until you receive a detailed, **decision-ready report** for every candidate, without spending a single minute. 👇\n\n![uploaded image](/media/?type=post&id=95916&key=user_uploads/213135/784f0317-e896-4f96-87b1-fe4dfc08d939)\n\n\\\nAnd **candidates love it**. Here’s what they say 😄\n\n> I was immensely impressed with the kind of questions and the way the tool responded!\n\nLeo Parker, DevOps Engineer\n\n> The AI voice was quite friendly and human like, which really helped in setting the environment. For example, the pauses and use of ‘Uh’s made feel very natural.\n\nIsabella, Software Architect\n\n---\n\n## **How Nova screens like your best Interviewer?**\n\nAll you need to get started is give her the JD but **you control everything**:\n\n**Skills, depth, difficulty**, interview type, tone, and structure.\n\nNova makes the screening process exactly how you want it.\n\n![uploaded image](/media/?type=post&id=95916&key=user_uploads/213135/23d75b86-2360-4c0d-a7a6-95ba6a363884)\n\nAnd she gets smarter.\n\nNova learns from your company’s own data: job descriptions, past interviews, ATS notes, performance signals, employee lifecycle insights.\n\nShe turns all of that into **hiring insights** and screen with the judgment of your best people.\n\n## The Impact\n\nMost customers have reduced time-to-first-interview report from **4–5 weeks to under 48 hours**.\n\nHere’s what Sprinto, a hyper-growth SaaS startup had to say\n\n> Nova has been a game changer for our recruitment operations over the last six months. We initially started using it to automate resume screening and shortlisting, and the difference was visible almost immediately. \\\n> \\\n> What used to take hours of manual effort now happens with remarkable accuracy and consistency.\n>\n> Just for the first-round screening alone, we saved well over 100 hours of recruiter time, and that time was redirected toward more meaningful work.”\n>\n> **Shankar Singh, Head of Recruitment, Sprinto**\n\n## **Use Nova to hire your next best talent today**\n\nSee how human-like AI can speed up your hiring:\n\n[https://www.peoplebox.ai/nova](https://www.peoplebox.ai/nova?utm_source=yc_launch&utm_campaign=yc_post)",
        "url": "https://www.ycombinator.com/launches/Ox2-nova-the-world-s-most-human-like-ai-interviewer",
        "votes": 47,
        "created_at": "2025-12-02T15:44:19.920Z"
      },
      {
        "id": 64863,
        "title": "🚀 Peoplebox - OKR & performance platform for hypergrowth companies",
        "tagline": "A single dashboard to track all strategic goals, initiatives and red-flags, in real-time",
        "body": "**TL;DR:** [**Peoplebox**](https://peoplebox.ai/) **solves the biggest problems of scaling companies - Misaligned teams and Poor Execution Speed. We do this by integrating with all your work tools, bringing every cross-aligned goal in one single dashboard to identify red flags on time.**\n\nHowdy, Everyone!\n\nWe are [@Abhinav Chugh](https://www.linkedin.com/in/abhinavchugh/) and [@Alagu M](https://www.linkedin.com/in/alagu2/), founders of Peoplebox, an OKR platform that makes it easy for growing companies to align their teams and execute faster.\n\nIt serves as a source of truth for all your strategic goals and initiatives to align your teams and identify red flags early **without the friction of new software.**\n\nWe are currently helping many companies, including **Razorpay (W15), Disney, Postman, Exotel, Khatabook (S18), StayQrious (W20)** achieve faster business results.\n\n### **❌ The Problem**\n\nAs companies grow, they find it difficult to execute their strategy with the same speed as before due to misalignment and lack of cross-functional visibility. OKRs solve this problem, but they are hard to implement.\n\nIn fact, 7 out of 10 OKRs implementations fail, and no 1 reason is: **Set and Forget**.\n\nToday,\n\n* OKRs are written in spreadsheets\n* Metrics are tracked in BI tools\n* But MBRs (Monthly Business Reviews)/ QBRs are done in Powerpoints.\n\n## **✨ What makes Peoplebox different?**\n\nPeoplebox integrates with all your work tools (SQL, Jira, Hubspot, Asana, Slack etc) to make real-time goal tracking and business reviews **magically easy**.\n\n![](https://lh4.googleusercontent.com/4PtJRPu4p_gt7Jzwxsz_fZ_CxxnHy7ip2_uaUdDMzhgkEy2aU5YuPiz7RBsSTejZP01lVKw9fpPnEouw4KDiuv2AMcUz3u4q4qTMD0xUMcLHG8TFd50aoztjPcan8j1PxX1vxAGHGLibmjKGvxspvAw)\n\nIt aligns and tracks all your strategic priorities, goals & initiatives in one place. This help identifies red flags early and makes timely corrections.\n\nIn addition, your business reviews are structured and super effective, ensuring that\n\n1. It happens on the same place where OKRs are set so you never miss talking about it.\n2. Plug data, narratives, screenshots and media easily.\n3. Can run structured reviews through templates, notes, and action items\n4. Takes a few hours instead of days to prepare for reviews because of automated updates of goals and initiatives\n\n![](https://lh3.googleusercontent.com/9P-49NV7lpW0inlxEhtDD8KeEA1tlMrN8ogGT9VyS18s-E0pYouj0RVwi97N1SUuOxLsDWvhlBT_RWGVWfN6ZSJapDgdbtDesIVTuEt1wceLgO_UJvBtou3OgrhRiEB4pgm3_AKZKCrr-VatmYcEbaw)\n\nIt is also deeply integrated with Slack to make it super easy for teams to update OKRs progress and tag people to start a conversation and fix the issues instead of waiting for review meetings.\n\n**In addition, Peoplebox also lets you**\n\n* Run your performance reviews cycle entirely only Slack\n* Do effective and actionable 1:1s to build high-performing teams\n* Run automated pulse and engagement surveys to be on top of your culture\n\n### **Who are we, and why are we building this?**\n\nWe are techies turned product guys, having built our first startups in Dublin, Ireland, and SF (YC S12) respectively. We joined [Practo](https://www.practo.com/), one of Asia’s largest health-tech startups, when it had 250 employees and saw it grow to 3,000 in just a couple of years.\n\nWe witnessed the challenges of hypergrowth companies first-hand. We realized as companies grow, the problems of misalignment and lack of cross-functional visibility only becomes larger, resulting in poor execution speed, missed goals, high talent turnover, and sometimes death.\n\nOur vision at Peoplebox is to become the Operating System for strategy execution to help companies align and achieve moonshot goals.\n\n# **🎁 Let’s talk**\n\nIf you are using OKRs or planning to use them, please [check us out](https://www.peoplebox.ai/) and book a demo to see how Peoplebox can help you implement it successfully and accelerate your business growth.\n\nAbhi and Alagu\\\n[www.peoplebox.ai](http://www.peoplebox.ai)",
        "url": "https://www.ycombinator.com/launches/GsB-peoplebox-okr-performance-platform-for-hypergrowth-companies",
        "votes": 49,
        "created_at": "2022-07-25T17:02:31.738Z"
      }
    ]
  },
  {
    "id": 26882,
    "name": "Coris",
    "slug": "coris",
    "former_names": [
      "Coris Inc."
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8d68f694a6b7f9bb0fb7015ac9814c591f45f5d.png",
    "website": "https://coris.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coris is the AI platform for payments risk and operations. We work with the most ambitious companies around the globe such as GoFundMe, Kajabi, Clio and Cherry to automate merchant onboarding, monitoring, and payment operations. What risk teams only imagined two years ago, Coris is delivering today with our risk platform and AI agents.\r\n\r\nWe’re backed by Y Combinator, Lux Capital, Pathlight Ventures, and other world-class investors — and we’re just getting started !",
    "one_liner": "AI risk and ops platform for Payment Processors, Banks, SaaS…",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1659411610,
    "tags": [
      "Fintech",
      "B2B",
      "Compliance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/coris",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/coris.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/corisinc/",
    "x_url": "https://twitter.com/CorisInc",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8d68f694a6b7f9bb0fb7015ac9814c591f45f5d.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 808733,
        "full_name": "Vinodh Poyyapakkam",
        "title": "Founder",
        "founder_bio": "Payments Fraud, SMB, Risk & Compliance. Prev: Google, WePay, Paysafe, PayPal, Accenture",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vinodhpo/",
        "x_url": "https://twitter.com/psvinodh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92775bbd1f7783cd2ef5767994ce17309a74124e.jpg"
      },
      {
        "user_id": 982526,
        "full_name": "Shyam Maddali",
        "title": "Founder",
        "founder_bio": "ex-WePay, ex-eBay",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shyammaddali/",
        "x_url": "https://twitter.com/mlshyam",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4716428289cef5c1212db1017901c9efa78c039f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 100286,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/coris/jobs/I26T5Uv-chief-of-staff",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.40% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "AI Agents"
        ]
      },
      {
        "id": 116108,
        "title": "Backend Engineer (AI-Native) — Risk Infrastructure & Integrations",
        "url": "https://www.ycombinator.com/companies/coris/jobs/h0nDly8-backend-engineer-ai-native-risk-infrastructure-integrations",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$160 - $175",
        "equity_range": "0.25% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Django",
          "JavaScript",
          "PostgreSQL",
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Coris raises $3.7M, sets sights on AI-driven paradigm shift in SMB risk management | VentureBeat",
        "url": "https://venturebeat.com/ai/coris-raises-3-7m-sets-sights-on-ai-driven-paradigm-shift-in-smb-risk-management/",
        "date": "Feb 01, 2024"
      }
    ],
    "launches": [
      {
        "id": 65063,
        "title": "Coris - Manage Small Business Risk Thoughtfully",
        "tagline": "Our data and software helps Fintechs manage SMB Risk with no stress !",
        "body": "**Coris is a Risk API for Fintechs that underwrite SMBs**\n\nHi everyone !\n\nThis is [Shyam](https://www.linkedin.com/in/shyammaddali/) and [Vinodh](https://www.linkedin.com/in/vinodhpo/) from [Coris](https://www.coris.ai/). We are super stoked to share with y’all what we are building.\n\n### **Background**\n\nShyam and I have spent last 20+ years at companies such as eBay, PayPal, WePay/JPMC (_YC S09_) and Google managing small business risk for payments and lending products. Two of the biggest problems we faced were in gaining a solid understanding of what a SMB does at the time of underwriting and continuing to keep a tab externally on how they operate.\n\n### **Problem**\n\n**Traditional bureaus hardly help** with small business credit risk assessment given their abysmal coverage of small businesses, lack of predictive data, painful integrations, and expensive products. Fintechs especially struggle to get the right data on quality of a small business to accurately assess credit exposure\n\nWhile payments data and bank-level financial data have helped somewhat in recent times to fill the void in SMB underwriting, they still miss some huge signals on how a business operates. Biggest problem is lot of **valuable data on a business remain unstructured** in the open internet for models/rules to consume\n\nAlso once a small business is approved for payments, lending or another credit product, **most companies are in dark about them** until they see chargebacks come in or see missed payments\n\n### **Solution**\n\nWe believe there is tremendous potential for alternative credit-relevant data in SMB risk management. With that said, we have two products to start with:\n\n1. **Alternative data on every SMB** in the US through one developer-first API - Licensing details, Website Professionalism signals, Online Reviews based signals, Business Incorporation details, and Local Inspection data\n2. **Monitoring of small businesses** across various online/offline surfaces and raise an alert for action when a business deterioration/failure is suspected, much before chargebacks or defaults start happening\n\n### **Our Asks**\n\n1. If you are running a Fintech/Platform and serve SMBs in the US, we would love to get your direct feedback on what we are building. Even better, **sign up to our** [**beta here**](https://www.coris.ai/#contact_form) !\n2. **Connect us to platforms/companies** that might benefit from what we are building or for us to learn from\n3. **Feel free to say hi at** [founders@coris.ai](mailto:founders@coris.ai) ! We love riffing on SMB underwriting/fraud/KYB and talk shop on where the industry is heading\n4. Last but not the least, **please share this post** ! Please help spread the word on how we are looking to make life easier for Fintechs to serve their SMB customers !!",
        "url": "https://www.ycombinator.com/launches/GvP-coris-manage-small-business-risk-thoughtfully",
        "votes": 71,
        "created_at": "2022-08-02T07:55:11.922Z"
      }
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    "id": 26897,
    "name": "AviaryAI",
    "slug": "aviaryai",
    "former_names": [
      "Cambio"
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    "website": "http://www.helloaviary.ai",
    "all_locations": "Chicago, IL, USA",
    "long_description": "AviaryAI is the industry's first outbound AI service team for banks, credit unions, and insurance companies. In a landscape where only 18% of financial service providers make proactive outbound calls and rely heavily on emails, AviaryAI offers a groundbreaking solution. Powered by a private LLM, our suite of products helps institutions leverage Generative AI while adhering to stringent regulatory and compliance standards.",
    "one_liner": "Outbound AI voice agents for the financial services industry",
    "team_size": 10,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1654737893,
    "tags": [
      "Fintech",
      "B2B",
      "AI",
      "AI Assistant"
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    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
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      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/aviaryai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/aviaryai.json",
    "year_founded": 2022,
    "city": "Chicago",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/helloaviary",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 796542,
        "full_name": "Blesson Abraham",
        "title": "Founder",
        "founder_bio": "Blesson Abraham is a two-time founder and is the CEO of Cambio. He started his career at a retail bank as a leadership development associate and went on to lead marketing, sales and helped start their analytics team.  In 2014, he co-founded SavvyIntel, a SaaS analytics solution for banks and credit unions. In 2017, SavvyIntel was acquired by CUNA Mutual Group.  ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/blessonjabraham",
        "x_url": "https://twitter.com/Babraham_FI",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f451ba7d17df974762577409899588da0143f23.jpg"
      },
      {
        "user_id": 1071567,
        "full_name": "Jay Patel",
        "title": "Founder",
        "founder_bio": "Jay Patel is a two-time founder and is the CTO of Aviary AI . In 2020 he started the non-profit social-justice app FireWatch. He leads the development and engineering efforts at Aviary AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jay-patel-2017/",
        "x_url": "https://twitter.com/jay1jp",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e82d10c635fe4e35967823cd572406402261ca41.jpg"
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    "jobs": [
      {
        "id": 109278,
        "title": "Account Executive (Full Cycle)",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/Lxfz6dw-account-executive-full-cycle",
        "location": "Chicago, IL",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $220K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 109279,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/m5Dm1Qa-forward-deployed-engineer",
        "location": "Chicago, IL",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $120K",
        "equity_range": "0.01% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109280,
        "title": "Strategic Account Manager",
        "url": "https://www.ycombinator.com/companies/aviaryai/jobs/lk9fk0O-strategic-account-manager",
        "location": "Chicago, IL",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "YC-backed Cambio puts AI bots on the phone to negotiate debt, talk to a bank’s customers | TechCrunch",
        "url": "https://techcrunch.com/2024/02/13/yc-backed-cambio-puts-ai-bots-on-the-phone-to-negotiate-debt-talk-to-a-banks-customers/",
        "date": "Feb 13, 2024"
      },
      {
        "title": "This Chicago Startup Is Using AI to Help People Improve Their Credit | Built In Chicago",
        "url": "https://www.builtinchicago.org/2023/03/16/chicago-future-5-company-cambio-q1-2023",
        "date": "Mar 16, 2023"
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    ],
    "launches": [
      {
        "id": 64180,
        "title": "AviaryAI - Outbound voice agents for the financial services industry",
        "tagline": "Drive revenue and engagement with automated and compliant AI voice interactions",
        "body": "**TLDR**\\\n[AviaryAI](https://www.helloaviary.ai) is the industry's first outbound AI service team for banks, credit unions, and insurance companies. In a landscape where only 18% of financial service providers make proactive outbound calls and rely heavily on emails, AviaryAI offers a groundbreaking solution. Powered by a private LLM, our suite of products helps institutions leverage Generative AI while adhering to stringent regulatory and compliance standards.\n\n**The problem**\n\n* **Limited Outbound Calls:** Only 18% of banks, credit unions, and insurance companies make outbound calls, missing crucial engagement opportunities throughout the customer lifecycle.\n* **Inefficiency and Missed Opportunities:** Internal employees, often untrained or unmotivated, handle outbound calls which leads to incomplete interactions and lost revenue.\n* **Challenges with GenAI Adoption:** Financial institutions hesitate to use general-purpose models like ChatGPT due to their lack of transparency and regulatory compliance concerns.\n* **Complex Interactions:** Automating post-call workflows (e.g., opening new accounts, activating cards) is challenging due to the need for multiple systems to work together seamlessly.\n\n**Our Impact**\n\n* **Proven Success Rate:** 26% of our AI-driven calls have resulted in successful customer interactions, significantly boosting engagement and revenue for our clients.\n* **High Interaction Rate:** 72% of all answered calls have an interaction with our voice agents beyond a simple “hello”. \n\n[Service Agent For Financial Institutions](https://youtu.be/IIeoPoZ_wVc)\n\n**The Founding Team**\n\n* Blesson Abraham | Co-founder, CEO: Blesson Abraham spent 5 years in leadership roles at Baxter Credit Union (BCU) before founding SavvyIntel (Acquired by TruStage in 2017) a SaaS analytics solution built for banks and credits union. \n* Jay Patel | Co-founder, CTO: Jay Patel is a two-time founder and started the non-profit social-justice app FireWatch in 2020. He leads development for Cambio’s consumer and enterprise LLMs.\n\n**Why Now?**\n\nIn the face of financial and regulatory pressures, banks, credit unions, and insurance companies are hesitant to adopt new technologies due to compliance fears. AviaryAI addresses this by offering a vertical-specific LLM, fine-tuned with industry data to tackle the unique challenges of financial services.\\\n\\\n\\*\\*Our Ask?\\*\\*\\\nIf you are in the financial services industry and are looking to move simple interactions to AI, reach out to us at [info@helloaviary.ai](mailto:info@helloaviary.ai)",
        "url": "https://www.ycombinator.com/launches/GhA-aviaryai-outbound-voice-agents-for-the-financial-services-industry",
        "votes": 87,
        "created_at": "2022-06-29T15:27:46.242Z"
      }
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  },
  {
    "id": 26899,
    "name": "Manatee",
    "slug": "manatee",
    "former_names": [
      "Quandry",
      "PreStacks"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a9a0e0f91f37996c715485c30911b32768c3466.png",
    "website": "https://www.trymanatee.com/?utm_source=bookface",
    "all_locations": "College Park, MD, USA; Remote",
    "long_description": "We let you see everything about how prospects interact with your demos, then convert them into paying customers.",
    "one_liner": "DocSend for demos.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1657678584,
    "tags": [
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      "Sales"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Inactive",
    "industries": [
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      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manatee",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/manatee.json",
    "year_founded": 2021,
    "city": "College Park",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manatee-a7s/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 962236,
        "full_name": "Bryan Houlton",
        "title": "Founder",
        "founder_bio": "orinlabs.org",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/bryan-houlton/",
        "x_url": "https://x.com/bryan_houlton",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a334b23d8920e92df2d4a797180eb5ebc7060dcb.jpg"
      },
      {
        "user_id": 967148,
        "full_name": "Ryan Downing",
        "title": "Founder",
        "founder_bio": "Engineer @ Navattic",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ryan-downing-074354170/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2ed54d1e6e249a6252376a7addc056d6ede2f25.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "Manatee Joins Forces with Navattic",
        "url": "https://www.navattic.com/blog/manatee-joins-navattic",
        "date": "Jun 12, 2023"
      }
    ],
    "launches": [
      {
        "id": 65286,
        "title": "⚓ Manatee - Interactive demos for your SaaS product",
        "tagline": " Create and manage interactive demos for your SaaS product that anonymize data, auto-update, and track interaction.",
        "body": "TLDR: **We help you create and manage interactive demos for your SaaS product that anonymize data, auto-update, and track interaction.**\n\nHey everyone! [@Bryan](https://www.linkedin.com/in/bryan-houlton/) and [@Ryan](https://www.linkedin.com/in/ryansdowning/) here, excited to share what we have been working on at [@Manatee](https://www.trymanatee.com/).\n\n# 🌟 Our North Star\n\nProspects leaving your demo should know exactly how your product helps them, and be excited to buy.\n\n### 😠 What’s the Problem?\n\n**Product demos should be personalized to each prospect** - and not just data. Often times the demo flow itself isn’t applicable to the user. Here’s how some of our users used to remedy this:\n\n* Pester your engineers to make a demo deployment (which then has to be maintained)\n* Photoshop/Figma to edit static images of the product Walk prospect through a flow and hope it’s useful for them\n\nIf you do any of these things, we could be a fit for you!\n\n### 🔨 The Solution\n\n* **Full fledged sandbox**. Don’t constrain your prospect to a flow, give them access to play with your full platform (without actually having access)\n* Customize these demo environments for each prospect\n* Send the link to the prospect to walk through the demo with them on call or asynchronously\n* Leave Figma-esque comments around the demo to ask questions\n* Replay the prospects interaction with the demo to see what they care about in your product\n* Embed the demo on your site with an email collection form to generate inbound leads\n\nWe put the demos in the hands of the sales team entirely, meaning **every part of the demo process can be done without code**.\n\n### 🤯 Why can’t we just use Walnut/Reprise?\n\nWalnut and Reprise are great products, but have limited use cases. Without a sandbox, you can’t be sure that the prospect is looking specifically for the feature highlighted.\n\nAlso, we auto-update your demo to be in sync with frontend changes!\n\n### ☁️ Asks\n\nIf you’re having trouble converting demo → sale, let us know. We’d love to help. We’ll give you 25% off for 6 months if you reach out to us before demo day and mention this post!\n\n[bryan@trymanatee.com](mailto:bryan@trymanatee.com)\n\n<https://calendly.com/trymanatee/30min>\n\n<https://www.trymanatee.com/?utm_source=launch_yc>",
        "url": "https://www.ycombinator.com/launches/Gz0-manatee-interactive-demos-for-your-saas-product",
        "votes": 14,
        "created_at": "2022-08-10T21:08:45.642Z"
      },
      {
        "id": 64584,
        "title": "💻☁PreStacks: Create Cloud Infrastructure in Seconds",
        "tagline": "Stop wasting development time managing cloud.",
        "body": "### **_TL;DR - Quickly configure a templated cloud stack and deploy to your accounts._**\n\nHey everyone, we’re [Bryan](https://www.linkedin.com/in/bryan-houlton/) and [Ryan](https://www.linkedin.com/in/ryansdowning/) and we’re building [PreStacks](https://www.prestacks.com/). We’re on a mission to reduce the time you spend deploying and managing your cloud.\n\n### **😠 What’s the Problem?**\n\n**Cloud engineering takes time away from building a solid product.** It’s a necessary evil, but let us deal with it.\n\n* Deploying servers, cluster, databases, and configuring pipelines, APIs, and auto-deployments shouldn’t be this hard.\n* Let’s face it. We all have our go-to stack that we deploy in the same way, every time. Why not automate it?\n\n### **🔨 Our Solution**\n\nPreStacks makes building proper cloud infrastructure an easy choice.\n\n* **We provision your infrastructure from the ground up**: GitLab/GitHub, Docker, PostgreSQL, AWS. All connected with PreStacks.\n* **You own the source.** We don’t lock you into a custom cloud or language. We deploy to all of your accounts, so if you need to make changes, you can.\n* **Ongoing monitoring** of your cloud resources.\n\n### **🔄 How It Works**\n\n1. Link your GitLab/GitHub and AWS accounts.\n2. Configure your Stack options (domain name, database size, staging environments, etc).\n3. Watch as a repository gets created in your GitLab/GitHub, resources are provisioned in your AWS, and your first pipeline auto-deployment is triggered.\n4. Within minutes, see **Django’s** `The install work successfully!` pop up at your domain.\n5. Push a change and watch it deploy!\n\n   ![uploaded image](/media/?type=post&id=64584&key=user_uploads/962236/1cc4aa4a-a516-4055-861f-8eb6442e9bd3)\n\n\n### **🤯 The PreStacks Impact**\n\nWe use [@PreStacks](https://bookface.ycombinator.com/company/26899) to build and maintain [@PreStacks](https://bookface.ycombinator.com/company/26899). We noticed that we were provisioning the same stuff for every new project. With [@PreStacks](https://bookface.ycombinator.com/company/26899), we went **2 weeks → 30 minutes** on our initial cloud setup, and now use it to monitor and manage our own servers, freeing up >50% of our cloud development time.\n\n### **☁️ Asks**\n\nIf you are building **Django projects on AWS** (or want to migrate), we are ready to help you simplify your development workflow. Also, let us know **how we can best support your stack** and prioritize our roadmap.\n\nCheck out our demo [here!](https://www.youtube.com/watch?v=rkWBvF-eI3A&ab_channel=BryanHoulton)\n\nIf you have 10 minutes to chat about PreStacks, schedule a time with me [here.](https://calendly.com/quandry/30min) 😀",
        "url": "https://www.ycombinator.com/launches/Gng-prestacks-create-cloud-infrastructure-in-seconds",
        "votes": 19,
        "created_at": "2022-07-13T17:13:14.423Z"
      }
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    "id": 26902,
    "name": "Maya Labs",
    "slug": "maya-labs",
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    "website": "https://mayalabs.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Applied research lab on a mission to build machines which can program themselves to do any task.",
    "one_liner": "Building self-programming machines",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1657029012,
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      "Robotic Process Automation",
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      "AI"
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/maya-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/maya-labs.json",
    "year_founded": 2020,
    "city": "Bengaluru",
    "country": "IN",
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        "full_name": "Sibesh Kar",
        "title": "Founder",
        "founder_bio": "Trying to build machines which can program themselves to do any task. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sibeshkar/",
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      },
      {
        "user_id": 276514,
        "full_name": "Shubham Mishra",
        "title": "Founder",
        "founder_bio": "Reliability, Server infrastructure, networking, distributed systems and everything else at Maya Labs. \nEx Ford Mobility India (Infra and Product). Ex Hyperloop India University Team.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shbhmshr/",
        "x_url": "https://twitter.com/shbhmmshr",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "7 AI startups that stood out in YC's Summer '22 batch",
        "url": "https://techcrunch.com/2022/09/08/7-ai-startups-that-stood-out-in-ycs-summer-22-batch/?tpcc=tcplustwitter",
        "date": "Sep 08, 2022"
      }
    ],
    "launches": [
      {
        "id": 65194,
        "title": "🛠️ 🧠 Maya Labs : Build custom software in minutes, using natural language",
        "tagline": "We're building a new way to program a machine using just natural language - starting off with a fast way to build internal tools by describing them in English.",
        "body": "Hi, we are Sibesh and Shubham, founders of Maya Labs. We are on a mission to teach machines how to code - starting off with a fast way to build internal tools in minutes using just natural language. Here’s an early look :\n\n![uploaded image](/media/?type=post&id=65194&key=user_uploads/272578/a3e654bf-56a0-48e4-abeb-8922bc23b8b0)\n\nA longer 5-min demo [here](https://www.youtube.com/watch?v=NPm0idKktzs) :\n\nToday, you can build one particular type of custom app well using Maya that let's you :\n\n1. **Fetch custom data** : Configure setup + query custom data from an external source (currently we do SQL, Gsheets, Notion, Airtable etc, but are expanding fast)\n2. **Visualize it** : Plot and visualize it in a custom table, line chart or bar graph\n3. **Perform actions** : Select and act on a particular data item (send a custom email, upload a file, trigger an API, update a DB item)\n\nMaya incrementally generates programs & shows results in response to steps you type in English, so the whole experience doesn’t feel like debugging someone else’s code. It’s possible to modify, delete & debug the natural language parts and Maya responds instantly - which makes it possible to hold and move around the _natural language program_ in your head. Checkout an early version of the docs [here](https://mayalabs.io/docs). We intend to keep it just one page long.\n\nThere’s still a lot to figure out and we’re trying to nail the experience for this one narrow use case first. When this works, we’ll try to extend it to just about any task you can think of - web navigation, connecting APIs, platform robots, RPA, home automation. Here’s a [show reel](https://mayalabs.io/library) of what else you can build manually with Maya today.\n\n**Who is this for?**\n\nMost internal tool builders are used by developers to build software for others on the product/ops/growth/sales/data teams, but we think this is a way for the user of the tool to also be the creator.\n\n**How does this work?**\n\nWe use a combination of conditional logic, neural search/classification, fine-tuned language models and template generation to make this work **predictably** and **reliably** in response to words you type/modify. We generate programs in a custom flow-based programming language that lets us express a wide range of behaviours with a smaller program length and visual DAGs. We also created our own benchmark to measure how well machines are at generating code (see our paper on this [here](https://blogs.mayalabs.io/benchmark)).\n\n**About us** :\n\nWe met in college many years back while starting Hyperloop India, the first Indian team at the SpaceX Hyperloop Competition - and have worked on-and-off on various projects since, sharing a common interest for hard engineering problems. Program synthesis is the hardest of them all - if software is eating the world, and you could build software that could build other software, why work on anything else?\n\nWe’ve been tinkering on this for years. Many Python libraries, papers, toy environments and product iterations later, we think we finally have an angle of attack that has a chance of working.\n\n**Ask** :\n\n1. Help us test our system! If you’d like to play around with or think someone in your team might benefit - send me a mail at sibesh\\[at\\]mayalabs\\[dot\\]io.\n2. Improve Maya with useful data - Let me know if you think a particular kind of program pattern we could teach Maya would be useful for you and a wide variety of other similar users.\n3. Introduce us to product/ops/growth/sales/data teams in your org who would like to build custom internal tools themselves without engineering effort\n4. Hit me up to learn more about our approach! Program synthesis, robot-run economies, programs that build other programs (including the YCombinator function haha)",
        "url": "https://www.ycombinator.com/launches/GxW-maya-labs-build-custom-software-in-minutes-using-natural-language",
        "votes": 53,
        "created_at": "2022-08-08T10:17:18.639Z"
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    "id": 26907,
    "name": "Rima AI (formerly Garage)",
    "slug": "rima-ai",
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      "Garage"
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    "website": "https://www.getrima.ai",
    "all_locations": "Austin, TX, USA; Remote",
    "long_description": "Rima helps accountants automate document and spreadsheet work with accuracy and cell-level audit tracking.\r\n\r\nFor accountants that deal with messy docs and spend their time in Excel, Rima enables them to build workflows in natural language to extract and process financial data from PDFs or ERPs into their Excel templates and reconcile their spreadsheets in minutes. Accountants build these workflows once and our agents do the work for them going forward, preserving their institutional memory and know-how.",
    "one_liner": "Document and spreadsheet automation for accountants",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1657049263,
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    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/rima-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/rima-ai.json",
    "year_founded": 2021,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rimaai/",
    "x_url": "https://x.com/getrimaai",
    "fb_url": null,
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    "founders": [
      {
        "user_id": 533018,
        "full_name": "Gwanygha’a Gana",
        "title": "Founder",
        "founder_bio": "Gana in an ex-founder with experience building and investing in companies in the US and Africa. He holds a BS in Electrical Engineering and an MS in Data Science from Georgia Tech, and an MBA from Harvard Business School. He is a casual bartender.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ggana/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8260028903386f91b680a157e6d1b5778b3a640.jpg"
      },
      {
        "user_id": 829336,
        "full_name": "Cedric Foudjet",
        "title": "Founder",
        "founder_bio": "Cedric is an ex-founder and Venture Capitalist with experience building and investing in companies in Africa and South East Asia. Cedric is also a self-taught cloud computing  engineer with experience helping major fortune 500 companies execute digital transformations and build a new cloud native applications. On his free time he geeks over crypto and watches shows like Billions and Succession. Cedric holds a Bachelors of Science degree from Concordia College and an MBA from Wharton.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cedric-foudjet-0470064b/",
        "x_url": "https://twitter.com/cedricfoudjet?lang=en",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101608,
        "title": "Rima: AI agents for document work accountants hate",
        "tagline": "Rima interviews accountants, captures their edge cases, and automates the manual work",
        "body": "Hey everyone👋🏽,\n\nIt’s [Gana](https://www.linkedin.com/in/ggana/) &amp; [Cedric](https://www.linkedin.com/in/cedric-foudjet-0470064b/) from [Rima ](https://www.getrima.ai/)\n\n**TL;DR** \n\nOver 50% of accountants still receive client documents as email attachments, scans, and paper. They spend hours on formatting, data entry, and Excel wrangling before anything ever touches the ERP. Rima interviews these accountants, understands their edge cases and builds custom document workflows to automate this manual work. \n\n**ASK**: If you know accounting teams struggling with manual document workflows we’d love to speak with them - [founders@getrima.ai](mailto:founders@getrima.ai) \n\n**Launch Video** \n\n<https://youtu.be/e7PJRoFzmjE> \n\n**_Problem_**\n\nWhen my mom's small business almost went bankrupt, it wasn't saved by software. It was saved by an accountant who used their brain to rescue the company. But today, these brilliant minds are stuck doing boring, repetitive work.\n\nOver 50% of accountants still get client files as emails, scans, and paper. They waste hours on data entry and broken spreadsheets. Generic AI only gets 55% of the way there because it was never trained on your client's edge cases. That's why accountants say AI is dumb. It's not. It just doesn't have their context yet. \n\nWe don't try to out-Claude Claude. We built Rima to solve the last mile: the library of edge cases (customer context) AI was never trained on so accountants can finally unlock its real value\n\n**_Our Solution_**\n\nRima **interviews accountants** until it understands exactly how they want things done and **captures their unique edge cases**. Then, it builds a custom workflow to handle that task. \\\n\\\nWe leverage what LLMs are good at - coding - and pair it with the **proprietary library of edge cases** that Rima collects across each client to build agentic workflows that are personalized and up to 99.7% accurate. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/58582253-59ef-4bdd-b37e-7810d8c86ca5)\n\n\\\nRima learns from each client workflow and grows the library of edge cases over time. The end result is customers feel like Rima gets better and easier to use after every workflow. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/eb9702ef-30bc-4604-ab86-033924c5b9f9)\n\n\\\nToday, accountants use Rima to automate workflows such as cleanups and catchups, bank and CC recon and data entry for tax workpapers among others. \n\nRima is best for accounting teams that still receive documents such as invoices, POs, statements and contracts via email attachments, scans or paper\n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/2d51ab0c-e331-4e20-926e-0c10dd86352f)\n\n\n**_Our team_**\n\nWe worked closely with over 4000 small businesses while building a wholesale distribution business and our accounting back-office was a mess. We know how messy the data from SMB operations can be and understand the manual work their accountants go through to help these businesses thrive. \n\nToday accounting firms and in-house accounting teams are automating manual document workflows on Rima. \n\n**_Where we are headed_**\n\nWe’re on a mission to build the deepest edge case library, powering automations everywhere for SMB accounting teams. \n\n**_Our ASK - How you can help us_** 📌\n\n→ If you know in-house accounting teams struggling with manual document workflows we’d love to speak with them\n\nlearn more @ [www.getrima.ai](http://www.getrima.ai)",
        "url": "https://www.ycombinator.com/launches/QQq-rima-ai-agents-for-document-work-accountants-hate",
        "votes": 13,
        "created_at": "2026-05-20T01:26:05.918Z"
      },
      {
        "id": 64499,
        "title": "Garage: Wholesale auto parts marketplace for Africa's 2M+ retailers",
        "tagline": "We're connecting the worlds largest parts distributors and manufacturers to retailers in Africa",
        "body": "Hello YC Family\n\nThis is Gana and Cedric, Co-founders at [Garage](https://www.garagemobility.com/).\n\n**At Garage, we are building the wholesale marketplace for auto parts in Africa**\n\n**Backstory**\n\nCedric and I are ex-founders with experience building, scaling and investing in startups in Africa. I used to buy and ship auto parts to my dad in Cameroon and realized that the landing cost once those parts arrived in Cameroon was still cheaper than buying locally. We realized that this issue was due to inefficiencies across the supply chain for parts distribution. Garage aims to solve this problem by building a wholesale marketplace that will power the $25B after sales market in Africa.\n\n**The Problem**\n\nOver $25B in auto parts sales in Africa occur at neighborhood retail shops. These retail shop owners are the backbone of the aftersales market yet they struggle to survive because\n\n* They have no visibility into which suppliers have which parts\n* Multiple layers of middle men and low buying power lead to inflated and volatile pricing\n* They don’t have enough working capital to grow their businesses\n\n**The Solution**\n\nGarage is a wholesale auto parts distributor for Africa, supporting these retailers. We aggregate parts from the largest suppliers in the world and deliver directly to retailers. We are building the largest auto tech platform to reduce the cost of car ownership in Africa by making auto parts more affordable and accessible.",
        "url": "https://www.ycombinator.com/launches/GmJ-garage-wholesale-auto-parts-marketplace-for-africa-s-2m-retailers",
        "votes": 18,
        "created_at": "2022-07-11T10:36:53.292Z"
      }
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  {
    "id": 27037,
    "name": "Metriport",
    "slug": "metriport",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b4285b77e4b14c5f733b3fb8ecb0243b368b92c.png",
    "website": "https://metriport.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Metriport provides real-time access to medical data for 340 million individuals across the US. Its open-source platform turns scattered patient records across all major healthcare IT systems into structured information that gives clinicians what they need, exactly when they need it, to provide the best possible care. \r\n\r\nMetriport manages dozens of connections across all national HIEs and QHINs, state and regional HIEs, ADT networks, pharmacies, labs, and EHRs. It then matches, extracts, standardizes, deduplicates, and enriches records, and converts them into a unified data model, accessible through a single API, data warehouse, or apps directly within an EHR.\r\n\r\nIn addition to providing longitudinal patient clinical data at the point of care, Metriport offers ambient monitoring, alerting providers in real time as patients are moved through the healthcare system to assist with transitions of care. Metriport also delivers insights on top of the data, like AI medical record summarization, condition suspecting, and surfacing care gaps.\r\n\r\nFounded in 2022 and headquartered in San Francisco, Metriport processes 4.2 billion network requests a month and returns the first structured record in under 15 seconds. Teams across care delivery, value-based programs, and health tech platforms build on Metriport, including Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.",
    "one_liner": "Healthcare data infrastructure for next generation care delivery.",
    "team_size": 29,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1654554081,
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    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/80365638",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
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        "user_id": 1013455,
        "full_name": "Dima Goncharov",
        "title": "Founder",
        "founder_bio": "Dima Goncharov is a Co-Founder & CEO of Metriport, which he started with Colin Elsinga in 2021. Dima is a software engineer by trade with professional industry experience building everything from aerospace systems, to highly available cloud database services.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dimagoncharov/",
        "x_url": "https://twitter.com/dimagoncharov_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b69dd7bc0cae33c5d88c5d9005bd1da0920af3ab.jpg"
      },
      {
        "user_id": 611194,
        "full_name": "Colin Elsinga",
        "title": "Founder",
        "founder_bio": "Colin Elsinga is the co-founder and COO of Metriport, which he started with Dima Goncharov in 2021. Colin is a software engineer and designer with professional experience building consumer health apps.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/colin-elsinga/",
        "x_url": "https://twitter.com/ColinElsinga",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71ac4413e28f4e3b7bb5a294a0fac6f528154738.jpg"
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    ],
    "jobs": [
      {
        "id": 91551,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/Evxfl0l-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $220K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
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      },
      {
        "id": 91552,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/pKiYGAg-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$200K - $275K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92363,
        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/9RLuRon-design-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "TypeScript",
          "Figma"
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      },
      {
        "id": 92364,
        "title": "Senior Implementation Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/YR0nrlN-senior-implementation-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$160K - $190K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript"
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      },
      {
        "id": 92367,
        "title": "Strategic Finance Lead",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/AUZD74P-strategic-finance-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $175K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 92460,
        "title": "Product Design",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/wV6tPZ2-product-design",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Figma"
        ]
      },
      {
        "id": 92461,
        "title": "Strategic Projects Lead",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/jV2UFTN-strategic-projects-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92887,
        "title": "Senior Software Engineer, Internal Tools",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/UG7xIZs-senior-software-engineer-internal-tools",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 93249,
        "title": "Technical Account Manager",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/IcQpKRB-technical-account-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$160K - $190K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "React",
          "TypeScript"
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      },
      {
        "id": 97067,
        "title": "Technical Recruiter",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/9PTzUvR-technical-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102424,
        "title": "Senior Data Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/wGKe03x-senior-data-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $220K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
          "TypeScript"
        ]
      },
      {
        "id": 102425,
        "title": "Staff Data Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/mnzHloS-staff-data-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "",
        "experience": "6+ years",
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          "Node.js",
          "Python",
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      },
      {
        "id": 102426,
        "title": "Staff Software Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/Id565m1-staff-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 109815,
        "title": "Head of Customer Success",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/va3Pgyc-head-of-customer-success",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$190K - $250K",
        "equity_range": "",
        "experience": "6+ years",
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        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/US1fygB-head-of-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$300K - $350K",
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        "experience": "11+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 114788,
        "title": "Staff Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/g35LEP2-staff-technical-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $260K",
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      {
        "id": 114789,
        "title": "Senior AI/ML Engineer",
        "url": "https://www.ycombinator.com/companies/metriport/jobs/7Ftzydk-senior-ai-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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    ],
    "news": [
      {
        "title": "Metriport raises $26M to help doctors retrieve patient data",
        "url": "https://endpoints.news/metriport-raises-26m-to-help-doctors-retrieve-patient-data/",
        "date": "Sep 11, 2026"
      },
      {
        "title": "Healthcare data is a mess and Metriport is here with a broom • TechCrunch",
        "url": "https://techcrunch.com/2022/12/21/metriport-funding/",
        "date": "Dec 21, 2022"
      }
    ],
    "launches": [
      {
        "id": 64229,
        "title": "Metriport - Healthcare data infrastructure for next generation care delivery.",
        "tagline": "Complete real-time patient context from every source that matters, transformed into relevant intelligence for your care teams and their AI agents.",
        "body": "[Metriport](https://www.metriport.com/) provides real-time access to medical data for 340 million individuals across the US. Its open-source platform turns scattered patient records across all major healthcare IT systems into structured information that gives clinicians what they need, exactly when they need it, to provide the best possible care.\n\n![uploaded image](/media/?type=post&id=64229&key=user_uploads/611194/fbf22c56-3e05-4f29-926e-cbccbcb305b9)\n\nIf you’ve been to doctors in the US, you may have encountered the problem: how does a healthcare provider get access to your up-to-date medical history to treat you properly? Reliance on archaic methods is still the norm: typically, you or your provider need to call the facilities where you’ve previously received treatment (assuming you remember them all), just to have them send your records via fax (yep, fax). This can take weeks, only then to have a provider sift through hundreds of pages of unstructured docs, just to figure out basic things like your active medication list, what conditions you may have, latest lab results, etc. This not only delays care—it can cause improper treatment, since the medical history is critical for informing treatment decisions.\n\n### **One platform for every workflow**\n\nMetriport manages dozens of connections across all national HIEs and QHINs, state and regional HIEs, ADT networks, pharmacies, labs, and EHRs. It then matches, extracts, standardizes, deduplicates, and enriches records, and converts them into a unified data model, accessible through a single API, data warehouse, or apps directly within an EHR.\n\nIn addition to providing longitudinal patient clinical data at the point of care, Metriport offers ambient monitoring, alerting providers in real time as patients are moved through the healthcare system to assist with transitions of care. Metriport also delivers insights on top of the data, like AI medical record summarization, condition suspecting, and surfacing care gaps.\n\n### **Built for the scale of U.S. Healthcare**\n\nFounded in 2022 and headquartered in San Francisco, Metriport processes 4.2 billion network requests a month and returns the first structured record in under 15 seconds. Teams across care delivery, value-based programs, and health tech platforms build on Metriport, including Amazon One Medical, Strive Health, Color, Sollis Health, and Canvas Medical.\n\n### **Getting Started**\n\n☎️ [Book a call with us](https://www.metriport.com/contact-us): interested in finding out how Metriport can support your use case? Grab a time to chat with us and we’ll figure out how we can work together.\\\n📚 [Our Developer Docs](https://docs.metriport.com/home/welcome): here you can follow our [Quickstart Guide](https://docs.metriport.com/medical-api/getting-started/quickstart). Our docs are the best way for you to familiarize yourself with our API’s core concepts.\\\n👨‍💻 [Public Github repo](https://github.com/metriport/metriport): view our source code, fork our repo, and give us a ⭐️ if you’re feeling generous!",
        "url": "https://www.ycombinator.com/launches/Ghx-metriport-healthcare-data-infrastructure-for-next-generation-care-delivery",
        "votes": 73,
        "created_at": "2022-06-30T14:14:31.078Z"
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    "long_description": "Fini builds AI agents that autonomously resolve up to 80% of customer support tickets for enterprises specially in Fintech, E-commerce, Gaming and Fitness tech.\r\n\r\nOur agents understand complex workflows, take real actions (like refunds or KYC checks), and improve in real-time. Built on a proprietary knowledge engine, our agents deliver 98%+ accuracy and integrate deeply with tools like Zendesk, Salesforce, and internal APIs.\r\n\r\nEnterprises like Bitdefender and Training Peaks use Fini to slash support costs by 50% while boosting CSAT by 10%.",
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    "subindustry": "B2B -> Operations",
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        "full_name": "Deepak Singla",
        "title": "Founder",
        "founder_bio": "Deepak Singla is the co-founder of Fini. Deepak leads Fini’s product strategy, and the mission to automate customer interactions for tech companies around the world. Originally from India, Deepak graduated from IIT Delhi where he received a Bachelor degree in Mechanical Engineering, and a minor degree in Business Management ",
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        "linkedin_url": "http://linkedin.com/in/deepak-singla-68345667/",
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      {
        "user_id": 996529,
        "full_name": "Hakim K",
        "title": "Founder",
        "founder_bio": "Hakim is leading tech at Fini. Hakim has a background in software engineering and analytics across 4+ organizations and 10+ years of experience. Most recently at Uber, Hakim met Deepak. Originally from Sweden, Hakim graduated from École Polytechnique with a master's degree in Engineering Mathematics.",
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    "launches": [
      {
        "id": 123337,
        "title": "Scout by Fini: An AI teammate for your support team",
        "tagline": "Turn customer conversations into insights, knowledge updates and bug reports, from Slack.",
        "body": "![uploaded image](/media/?type=post&id=123337&key=user_uploads/1010279/d5b943fa-4982-44a2-95a5-41a6821f5a48)\n\nHey everyone, Deepak here, co-founder of Fini (S22). We just launched **Scout, an AI teammate that turns customer conversations into better support knowledge, bug reports and insights.**\n\nAt Fini, we build AI agents that answer customer questions. But answering a ticket doesn’t fix the outdated help article or product issue that caused it. Someone still has to investigate, gather evidence and make the fix. That’s the work we built Scout to take on.\n\n**Scout lives in Slack and works across your support tickets, customer reviews and threads.** You can ask it:\n\n* “Why did CSAT drop last month, and has it recovered?”\n* “What are customers asking that our help center doesn’t cover?”\n* “Which product issues keep coming up, and who’s affected?”\n\nIt investigates and brings back answers with evidence and customers’ own words. It can then draft a knowledge update or file a Jira/Linear bug with the findings attached. Your team approves every change.\n\nIt also runs recurring reviews, so the work keeps moving without someone remembering to ask. Teach it a rule like “Always exclude our test tickets” and it remembers for future work.\n\n**What customers are seeing:**\n\nAt TrainingPeaks, weekly knowledge upkeep went from 6 hours to 1. At Snapdocs, the share of customer questions covered by approved knowledge grew from 44% to 72% in 11 weeks.\n\nScout works with your existing support stack. You don’t need to use Fini’s customer-facing agent.\n\n**We’d love feedback from YC founders and support teams.** Reply here or DM me and we’ll help you get set up.\n\n<https://www.usefini.com/scout?utm_source=bookface&amp;utm_medium=community&amp;utm_campaign=scout_launch>\n\nWhat’s one thing buried in your customer conversations that you wish your team had time to investigate?",
        "url": "https://www.ycombinator.com/launches/W5J-scout-by-fini-an-ai-teammate-for-your-support-team",
        "votes": 3,
        "created_at": "2026-10-19T16:29:07.812Z"
      },
      {
        "id": 96968,
        "title": "Fini: Accuracy-first AI for high-stakes support",
        "tagline": "AI customer support with 100% compliance and 0% hallucinations",
        "body": "Hey everyone! 👋\n\nWe’re Deepak and Hakim. Before founding Fini (YC W22), we led product and growth teams at Uber, operating at the scale of 200 million+ support tickets every year. We founded Fini believing that AI support can (and should!) be held to a higher standard than human support.\n\n**TL;DR** If you run support for a bank, fintech, insurance company, or any regulated industry, chances are you’ve tried your hand at generic AI support chatbots and realized they’re not a fit. A single hallucinated response can lead to lawsuits and PR disasters, destroying customer trust you’ve worked hard to build over decades. Fini AI was built specifically for these high-stakes environments, resolving 80% of support queries with full compliance and zero hallucinations.\n\n![uploaded image](/media/?type=post&id=96968&key=user_uploads/1010279/fe000980-ba95-4470-9469-32c24fb5516a)\n\n\n### **Support in regulated industries is broken**\n\nCompanies in finance, insurance, and healthcare face a brutal trade-off:\n\n* **Scale support with humans:** Expensive, hard to hire, and training takes months.\n* **Scale it with generic AI:** High risk of hallucinations, compliance breaches, and protocol violations.\n\nIn regulated spaces, hallucinations or protocol violations aren’t just isolated bad user experiences; it’s a potential regulatory fine. A class-action lawsuit. A PR disaster waiting to happen. Because of this, most teams are forced to stick with slow, expensive manual support, leaving customers waiting even for straightforward queries.\n\n### **The (accuracy) problem**\n\nIf you lead a support team in a regulated industry, you can't just let an LLM loose on your knowledge base.\n\n* Generic models prioritize \"fluency\" over \"factuality.\"\n* They often make up policies or promise refunds that don't exist.\n* Audit trails are often non-existent or hard to parse.\n\nYou end up blind to what the AI is actually saying until it’s too late. This risk forces many companies to pull back on AI support entirely, leading to burnt-out agents and frustrated customers.\n\n### **Fini solves this**\n\nWe built Fini to be accuracy-first. We monitor every interaction to ensure compliance and use specialized AI agents that don’t just \"chat\" — they solve.\n\n* **98% Accuracy:** We hold our AI to even higher standards than human agents.\n* **Human-in-the-Loop:** We seamlessly loop in human experts for edge cases.\n* **Self-learning:** The AI learns from your best people whenever they intervene to solve a new problem.\n* **Proven Scale:** We already resolve over 1 million tickets monthly for customers like the US Chamber of Commerce Foundation, Atlas, Found, and Bitdefender.\n\n### **Our Asks**\n\n* **Do you lead Support or CX** in a regulated industry (Fintech, Insurtech, Health) and want to automate tickets without the risk? **Let’s chat.**\n* **Know a great operator?** We’re hiring a Head of Growth, Product Marketing Lead, and an AI Product Manager. Please introduce them to us!",
        "url": "https://www.ycombinator.com/launches/PE0-fini-accuracy-first-ai-for-high-stakes-support",
        "votes": 6,
        "created_at": "2026-01-20T18:12:08.355Z"
      },
      {
        "id": 64064,
        "title": "Fini - ⚡️ Lightning ⚡️ quick Customer Contact Resolution",
        "tagline": "Fini helps companies collect, categorize and resolve customer issues using AI ",
        "body": "**Fini helps companies collect, categorize and resolve customer interactions.**\n\nHey all! We’re Deepak & Hakim, and we have worked on AI systems for customer interaction at companies like Uber, Accenture, and PwC.\n\nWe’ve seen **companies in multiple sectors lose millions of dollars** trying to solve various customer interactions manually through agents - spanning from healthcare claims for insurance companies to millions of customer inbound tickets for B2C enterprises.\n\nAt Fini we categorise and resolve all your customer inbounds in real-time across 50+ languages, and integrates with your CRM systems in less than a week.\n\n**Problem:**\n\nWhen a company tries to scale its operations, it often runs into the following roadblocks in terms of handling customer contact:\n\n1. Customer requests come from multiple channels (emails, CRM, typeform, chatbots, in-app)\n2. These requests are currently solved manually by agents. Actioning this feedback at scale is slow and expensive.\n3. Customer insights are not generated in real time\n\n**How can Fini help me?** \n\nWe can help you to:\n\n* **Integrate channels into one overview:** Collecting requests from across your systems.\n* **Product driven resolution:** Our software redirects customers to self-serve product integrations to solve their issues without any human touch.\n* **Get real-time product insights:** Dashboards tailored to your use-case precisely illuminating customer pain points.\n\n**Want us to help you?** Email [hello@usefini.com](https://mailto:hello@usefini.com) to get set up within a week!",
        "url": "https://www.ycombinator.com/launches/GfI-fini-lightning-quick-customer-contact-resolution",
        "votes": 34,
        "created_at": "2022-06-25T00:31:19.513Z"
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    "id": 27042,
    "name": "Artemis Search",
    "slug": "artemis-search",
    "former_names": [
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      "Umbria (by Artemis Labs)"
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    "website": "https://search-artemis.com/",
    "all_locations": "San Francisco, CA, USA; Rochester, MN, USA; Remote",
    "long_description": "Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is.\r\n\r\nThis enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come from evaluating search results on how much they look like the search query.",
    "one_liner": "A search technology that actually finds what you’re looking for.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1656613108,
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    "batch": "Summer 2022",
    "status": "Active",
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    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 982880,
        "full_name": "Austin McCoy",
        "title": "Founder",
        "founder_bio": "Austin is a Caltech CS graduate with an emphasis in applied mathematics and finance. Austin has an academic background developing and publishing computer graphics technology and machine learning models at Caltech's Aerospace Robotics and Control (ARCL) laboratory. Austin also has experience launching and selling several small technology businesses ($100k - $1M ARR) centered around developing and selling B2B and B2C software products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/austin-mccoy-833600229/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e2b5d37a856a3a6ac6422a57220edd8c664fcaa.jpg"
      },
      {
        "user_id": 1018952,
        "full_name": "Manvir Singh",
        "title": "Founder",
        "founder_bio": "Manvir is a self-taught software engineer who specializes in building robust and intuitive technology accessible to clients from all backgrounds. He has coordinated with his co-founder, Austin, on previous ventures and looks forward to bringing his experience to bear with Artemis.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/manvir-singh-abb298247/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c1de568e5bc43f567f2cd40177ec5a5ca6092d6.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 75378,
        "title": "Umbria: Get designer-grade docs fast",
        "tagline": "Join us for a 24-hour YouTube livestream!",
        "body": "### 🖥️ The Product\n\nUmbria is the fastest way to launch designer grade docs!\n\n**Here’s how it works:**\n\n1. Drag and drop components\n2. Add your text\n3. Publish\n\nSee our own site & docs built with Umbria here: [Umbriadocs.com](http://Umbriadocs.com)\n\n### 🚀 The Pitch\n\nYou can get started for free — or contact Kyle for a special deal! ([kyle@umbriadocs.com](mailto:kyle@umbriadocs.com))\n\n### 👀 24 Hour Docs Livestream\n\nWe’re going to build docs for 24 hours straight on a YouTube stream next Wednesday (the 11th)!\n\nWhy? Becuase we can. Reach out for a shoutout, we’ll feature your docs!\n\n![uploaded image](/media/?type=post&id=75378&key=user_uploads/1018852/37abfcf5-e64c-4b6b-b81f-aa9e7a213169)\n\n",
        "url": "https://www.ycombinator.com/launches/Jbm-umbria-get-designer-grade-docs-fast",
        "votes": 5,
        "created_at": "2023-10-04T20:27:51.119Z"
      },
      {
        "id": 66800,
        "title": "Artemis: Data Science Project Management",
        "tagline": "Document, track and visualize every aspect of your workflow in one place",
        "body": "**tl;dr** Artemis is the best platform to document, track, and visualize complex data science projects. We help teams log when and how they use resources (scripts, models, databases, etc.) to create the through yet compensable documentation for their projects.\n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/4e301d6d-975c-4497-8692-91a0834cdaba)\n\n**❌ The Problem:** Data science teams employ a variety of resources often spread across platforms. The way these resources interact in a project is often poorly documented. Documentation systems that do exist rely on direct peer-to-peer collaboration and produce results that are difficult to understand.\n\n**✅ The Solution:** Artemis is a platform for organizations to document and map every time a resource is used and how it works so projects can be understood at a glance.\n\n🏆 **Two Steps To Success:**\n\n**First,** Artemis teams create archives to document every time they use a resource. The Archive helps users document their resource’s location(s), relationships to other resources, and functions in addition to recording how they’re employed in a specific project. \n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/718ed567-d130-450d-a425-e25dfdf7c8ee)\n\n**Second**, resource deployments archived with Artemis are automagically mapped out to create interactive visual networks. These networks offer a comprehensive, one of a kind perspective that informs leadership decisions and helps individuals understand their work and their peers’ work in context.\n\n![uploaded image](/media/?type=post&id=66800&key=user_uploads/1018852/188a66ae-e107-4524-b084-54d62a18eec3)\n\n**▶️  Price and Contact**\n\nArtemis free to try for 30 days and free to academic institutions forever. Enterprise seats cost $20/month.\n\nIf you’d like to try Artemis or are interested to learn more, please reach out: [austinmccoy@artemisar.com](mailto:austinmccoy@artemisar.com)",
        "url": "https://www.ycombinator.com/launches/HNQ-artemis-data-science-project-management",
        "votes": 13,
        "created_at": "2022-10-18T22:04:26.831Z"
      },
      {
        "id": 65058,
        "title": "Artemis: Retool for desktop applications",
        "tagline": "Drag-and-drop to make interfaces for any program",
        "body": "Hello, we’re [Austin](https://www.linkedin.com/in/austin-mccoy-833600229/), [Manvir](https://www.linkedin.com/in/manvir-singh-abb298247/) and [Kyle](https://www.linkedin.com/in/kyle-h-202515237/) — we founded [Artemis](https://artemisdevtool.com/). \n\n**_tl;dr_** _It takes too long to give desktop internal tools usable GUIs. Artemis fixes that._\n\n### **Problem:** \n\nArtemis was born in a Caltech robotics lab when our founder Austin realized too much time was spent giving internal tools usable GUIs. Building front-ends for internal tools written in programming languages like Python, C, C++ and Matlab is a tedious process that makes it slow and difficult to deploy even the simplest projects.\n\nExisting solutions aimed at solving this problem like Java’s Netbeans or Python’s QT only aid the user in designing how their interface will look, leaving the task of coding each element’s functionality. The complexity of these tools also present a high barrier to entry – especially for users who are just trying to make simple interfaces. These users don’t need all the bells and whistles of QT, they just need a simple solution they can learn and employ quickly.\n\n### **Artemis Solution:**\n\nArtemis’ drag and drop interface lets developers rapidly design front-ends comprised of elements that function out-of-box. This prepackaged functionality means integration is a breeze.\n\nHere’s how it works:\n\n1) Create your interface in our drag-and-drop webtool:\n\n![uploaded image](/media/?type=post&id=65058&key=user_uploads/1018852/93a29830-bbc4-4a98-a054-995f401064a4)\n\n2) Integrate into codebase with three steps (minimal overhead)\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=65058&key=user_uploads/982880/bf607bd0-7015-4777-b264-72c6128ada94)\n\n3) Launch your new interface (runs in browser to facilitate cross platform use, but still works offline) \n\n![uploaded image](/media/?type=post&id=65058&key=user_uploads/1018852/c497ce1e-e1f0-4d6b-ab4d-f25340a53401)\n\n### **Project history, use cases, and pricing:**\n\n**History:** We began life as an augmented reality development platform that functioned in almost the same manner. However after realizing how small that market is, we’ve pivoted to a broader one. That being said: we remain so cross platform you can even build frontends to be displayed in AR and VR.\n\n**Use Cases:** Artemis is a must-have for anybody who builds internal tools. \n\nSome examples include: Machine learning dashboards • GUIs for engineering tools • Control panels for machinery & IoT devices • GUIs for physicists’ models and calculators • And whatever else you can build!\n\n**Pricing:** $9 a month after 1 week free trial",
        "url": "https://www.ycombinator.com/launches/GvK-artemis-retool-for-desktop-applications",
        "votes": 21,
        "created_at": "2022-08-02T04:40:30.973Z"
      }
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    "id": 27049,
    "name": "Anchor",
    "slug": "anchor",
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    "website": "https://getanchor.co/",
    "all_locations": "Lagos, LA, Nigeria; LA, Nigeria",
    "long_description": "Anchor provides APIs, dashboard and tools that help developers easily embed and build banking products. This includes APIs for creating bank accounts, funds transfers, savings products, issuing cards and offering loans.\r\n\r\nWe also provide regulatory coverage and continuous compliance support to our partners.",
    "one_liner": "Embedded finance platform for African businesses",
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    "industry": "Fintech",
    "subindustry": "Fintech",
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "country": "NG",
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        "full_name": "Segun Adeyemi",
        "title": "Founder",
        "founder_bio": "Segun is the CEO & Co-founder of Anchor, the BaaS and embedded finance platform for Africa. He is an entrepreneur with years of experience in the African fintech space. He previously co-founded Amplifypay, a payment company that he sold in 2019 and helped JUMO expand into Nigeria.",
        "is_active": true,
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        "full_name": "GBEKELOLUWA OLUFOTEBI",
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        "full_name": "Olamide Sobowale",
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        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/olamide-sobowale-4677a261/",
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    "news": [
      {
        "title": "Nigerian banking-as-a-service startup Anchor raises $1m pre-seed round - Disrupt Africa",
        "url": "https://disrupt-africa.com/2022/09/02/nigerian-banking-as-a-service-startup-anchor-raises-1m-pre-seed-round/",
        "date": "Sep 02, 2022"
      },
      {
        "title": "Nigerian YC-backed startup Anchor comes out of stealth with $1M+ to scale its banking-as-a-service platform – TechCrunch",
        "url": "https://techcrunch.com/2022/08/29/nigerian-yc-backed-startup-anchor-comes-out-of-stealth-with-1m-to-scale-its-banking-as-a-service-platform/",
        "date": "Aug 29, 2022"
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    ],
    "launches": [
      {
        "id": 65296,
        "title": "Anchor - Banking as a service platform for Africa",
        "tagline": "Build accounts, cards, savings and payments into any app! 🚀",
        "body": "Hey YC Fam! 👋\n\nSegun, Olamide and Gbeke here to introduce [Anchor](https://bookface.ycombinator.com/company/27049)!\n\n**_TL;DR_: Anchor makes it easy to offer accounts, money movement, savings and card products in Africa. We provide APIs, dashboard and regulatory support for developers to build, embed and launch banking products.**\n\nCheck out our documentation [here](https://docs.getanchor.co/reference/overview) & request invite [here](https://airtable.com/shr4yvnnM9obXKhVe).\n\nWe released our private beta in May. We’ve signed-on 30+ companies including the largest telco in Africa and YC companies like [Fingo](https://bookface.ycombinator.com/company/23986), [Pivo](https://bookface.ycombinator.com/company/27262), [Tizeti](https://bookface.ycombinator.com/company/1442), [Curacel](https://bookface.ycombinator.com/company/25684), etc.\n\n**Why we built this**\n\nAcross Africa today, businesses spend \\~$0.5m and wait 18months before they can go to market with simple banking products. \n\nThis is because they have to cross many hurdles including:\n\n1. rigorous licensing and compliance processes; \n2. build many integration layers; \n3. manage complex banking and third party relationships; and \n4. invest in complicated core-banking infrastructure\n\nAs founders, we witnessed these pain first-hand in our experience building and working with fintechs. \n\nWe built Anchor to abstract away the complexities, so businesses can get started in 5minutes with a few lines of code.\n\n![uploaded image](/media/?type=post&id=65296&key=user_uploads/1013452/304627b7-0a38-43d9-a652-516420774395)\n\n**Who we are**\n\nWe are repeat founders with experience in the fintech space. Segun sold his previous payment company to [Carbon](https://getcarbon.co) and worked at [JUMO](https://jumo.world/). Olamide & Gbeke have worked with top African fintechs like [Kuda](https://kuda.com/), Carbon, and [TeamApt](https://teamapt.com/), and global tech giants like Google and [Booking.com](http://Booking.com).\n\n**Our ask 🙏**\n\n1. Contact us if you want to offer wallets, accounts, cards or savings products to your African customers.\n2. Connect us with digital businesses (fintechs, Saas companies, marketplaces/e-commerce platforms, etc).  \\\n   \\[\\*\\*_\\* Quick forwardable blurb_\\*\\*_: A team of YC-backed, fintech engineers recently released an API to help developers build banking products. Check them out at_ [_getanchor.co_](http://getanchor.co) _and contact_ [_founders@getanchor.co_](mailto:founders@getanchor.co)_\\]_\n\n ",
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        "votes": 19,
        "created_at": "2022-08-11T13:36:59.717Z"
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    "year_founded": 2021,
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    "country": "US",
    "linkedin_url": "https://linkedin.com/company/unthreadai",
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        "full_name": "Chaitanya Sarda",
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        "title": "Account Executive - US",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/05SAS6H-account-executive-us",
        "location": "Bellevue, WA, US / San Jose, CA, US / New York, NY, US / Austin, TX, US / Remote (US)",
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        "url": "https://www.ycombinator.com/companies/aiprise/jobs/4KFw70w-account-executive-uk-eu",
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        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/aiprise/jobs/trWvTK9-forward-deployed-engineer-usa",
        "location": "San Jose, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 90583,
        "title": "Software Engineer II (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Qn0REJO-software-engineer-ii-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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        "id": 92150,
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        "url": "https://www.ycombinator.com/companies/aiprise/jobs/XBbju0v-customer-success-manager",
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        "title": "Software Engineer III (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/HWXS4fS-software-engineer-iii-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 96243,
        "title": "Software Engineer II",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/QDwmfaa-software-engineer-ii",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $185K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 96244,
        "title": "Account Executive  - US",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xrNmumL-account-executive-us",
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        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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      {
        "id": 100235,
        "title": "Head of Customer Engineering",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/ISn5LBS-head-of-customer-engineering",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 100236,
        "title": "Software Engineer III - Senior Engineer",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/oqyXQsq-software-engineer-iii-senior-engineer",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 100238,
        "title": "Enterprise Account Manager - US",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/JdEk95s-enterprise-account-manager-us",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $120K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104002,
        "title": "Security Architect (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Qc7W486-security-architect-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹5M - ₹8M INR",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 104681,
        "title": "Software Engineer I (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/FwgWNWb-software-engineer-i-bangalore-india",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹1.5M - ₹3M INR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 105469,
        "title": "Senior Content Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/7bvL6nM-senior-content-marketing-manager",
        "location": "San Jose / New York City",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105470,
        "title": "Product Designer II",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/cu6W9ZM-product-designer-ii",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "₹2.5M - ₹3.5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106409,
        "title": "Security Architect (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/tYFN1nA-security-architect-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106410,
        "title": "Software Engineer III (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Mc2WTCt-software-engineer-iii-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹5M - ₹8M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106411,
        "title": "Software Engineer II (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xwWg5UF-software-engineer-ii-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106412,
        "title": "Software Engineer I (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Yy2ZIqq-software-engineer-i-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹1.5M - ₹3M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108189,
        "title": "Software Engineer I",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/F9rwzmT-software-engineer-i",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109183,
        "title": "Bilingual Forward Deployed Engineer (English/Spanish)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/AGXNOXK-bilingual-forward-deployed-engineer-english-spanish",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $130K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110847,
        "title": "Senior Manager, Revenue Partnerships",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/GsZq5xU-senior-manager-revenue-partnerships",
        "location": "San Jose, CA, US / Remote (New York, NY, US; Atlanta, GA, US; San Jose, CA, US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112057,
        "title": "Performance Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/enmJTWS-performance-marketing-manager",
        "location": "San Jose, CA / New York City",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112059,
        "title": "Senior Product Marketing Manager",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/xKvR9Zl-senior-product-marketing-manager",
        "location": "San Jose",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$140K - $170K",
        "equity_range": "",
        "experience": "5+ years",
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        "id": 113075,
        "title": "Senior Manager, Revenue Partnerships",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/dNoy89t-senior-manager-revenue-partnerships",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 116447,
        "title": "Software Engineer II, Frontend (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/Oj00FKI-software-engineer-ii-frontend-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116451,
        "title": "Software Engineer II, Full Stack (Frontend Focused) (Bangalore, India)",
        "url": "https://www.ycombinator.com/companies/aiprise/jobs/zrL3BmH-software-engineer-ii-full-stack-frontend-focused-bangalore-india",
        "location": "Bengaluru",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "₹3M - ₹5M INR",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "AiPrise raises $12.5M to unify global KYB",
        "url": "https://www.axios.com/pro/fintech-deals/2025/10/08/aiprise-12-million-global-compliance",
        "date": "Oct 08, 2025"
      },
      {
        "title": "Announcing our $2M raise | AiPrise",
        "url": "https://aiprise.com/blog/post/announcing-our-2-m-raise",
        "date": "Nov 01, 2022"
      }
    ],
    "launches": [
      {
        "id": 77760,
        "title": "BusinessID by AiPrise 🚀 - Onboarding and verifying businesses made easy",
        "tagline": "Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.",
        "body": "At [AiPrise](https://aiprise.com/), we are thrilled to unveil BusinessID, an innovative solution set to transform Know Your Business (KYB) checks, ushering in a new era of speed and efficiency. Say goodbye to cumbersome onboarding processes and welcome a streamlined approach to business verification.\n\n### **Why?**\n\nImagine you want to onboard a business on your platform. Here is what the traditional verification setup looks like - \n\n**Step 0:** Design a complicated Typeform (Requires 7-10 days)\n\n**Step 1:** Send a Google / Typeform link to the business/merchant to collect the following information about the company -\n\n* Name & Tax ID\n* Legal Information\n* UBO Information / Ownership Structure\n* Website Information\n* Registration documents \n* Address Proof\n* UBO Identity documents\n\n**Step 2:** Semi-automated validation of the above information (4-5 days)\n\n* Lookup business Tax ID and name in the local business registry\n* Order OFAC/AML/Sanctions/Adverse Media checks on the business\n* Document verification / KYC checks on each UBO + Legal Representative\n* Order OFAC/AML/Sanctions/Adverse Media checks on each UBO\n* Manually verify address proof\n* Follow up with customer for any missing information\n\n**Step 3:** Risk Analysis (0.5-1 hour)\n\n* Manually go through the website\n* Lookup business information and employee count on LinkedIn\n* Google search of the business to get insights on customer reviews/news articles, etc.\n* Manually go through provided documents and completely rely on intuition to spot fraudulent documents\n\n**Challenges of Traditional Verification:**\n\n* Time-consuming\n* Relies on inconsistent data sources\n* Difficulty scaling with diverse regulations across multiple geographies\n* Prone to fraud due to manual verification errors\n\n### **What is BusinessID?**\n\nBusinessID is a robust, comprehensive tool that drastically cuts down the time spent on verifying companies. This platform has a customizable onboarding UI, risk-based workflows, a case management tool, and country-specific templates.\n\n* **Customizable Onboarding Experience:** Tailored UI for efficient and brand-aligned verification.\n* **Comprehensive Verification Suite:** Streamlined business registry lookups, tax/VAT checks, and beneficial owner verification.\n* **Global Coverage with Local Precision:** Services in over 100 countries, ensuring compliance and thorough verification.\n* **Enhanced Risk Mitigation**: Advanced tools for fraud prevention and thorough due diligence.\n* **UBO Verification**: Seamless KYC on ultimate beneficial owners\n* **Access to Government Registries:** Where accessible, for authentic documentation\n\n### **How does it work?**\n\n[Watch BusinessID in action](https://youtu.be/wv7gybUpR2s)\n\n🤖 **Automated Verification at Its Finest**\n\nBusinessID conducts thorough checks within minutes, including:\n\n* Business registry lookup\n* Tax/VAT number verification\n* Beneficial owner verification\n* Address, phone, email, and website verification\n* Online presence analysis\n* Registration document verification\n* Document extraction from government registries \n* Occupation/nature of business checks\n* Sanctions, PEP, and adverse media checks\n\n**🚀 Elevate Your Business with BusinessID**\n\nBusinessID is more than a tool – it's a transformative solution for businesses seeking efficiency, security, and compliance. Don't let outdated KYB processes hold you back.\n\n**👉 Ready to Experience the Future of KYB Checks?**\n\nVisit us at [AiPrise](https://aiprise.com) to schedule your demo and see how BusinessID can revolutionize your business verification process.",
        "url": "https://www.ycombinator.com/launches/KEC-businessid-by-aiprise-onboarding-and-verifying-businesses-made-easy",
        "votes": 16,
        "created_at": "2024-01-23T15:00:37.955Z"
      },
      {
        "id": 65290,
        "title": "AiPrise: Identity Verification Made Simple",
        "tagline": "Harness the power of all identity vendors through one platform",
        "body": "tl;dr We let you ensure that your users are really who they claim to be. We do this by integrating with multiple vendors and exposing them all through one single platform.\n\nHey everyone, Rushabh & Chaitanya here. We’re a team of enthusiastic product builders. Chaitanya brings 4+ years of experience in the Trust and Safety space as a tech lead from Google, while Rushabh brings an in-depth experience in building developer focussed products through his role as a Staff Engineer at Meta. We are super excited to publicly announce the launch of AiPrise. **We officially went live with our first few customers in just under 45 days!**\n\n### **⚠️ Problem**\n\nDoes your platform require you to know who your customers are (aka - KYC / identity verification)?\n\nPeople who have hunted for KYC/KYB providers in the past are probably already thinking - “Oh ok - here goes one more KYX provider”.\n\n_Hint: We aren’t yet another KYX provider_\n\nTrue identity verification is super challenging. **No one** provider is usually sufficient to meet all your needs. Each country has different compliance requirements, each platform has a different risk appetite, and simply checking the KYC boxes is usually not enough to prevent real fraud on a platform.\n\nOn an average, a company ends up integrating with **10+ identity providers** over time. Layering multiple vendors is not just more fraud proof, but also cost effective in certain cases.\n\nInteresting stuff we heard from other companies:\n\n1. **Cost Optimization** Local providers tend to be cheaper for a given region, but have limited coverage. Use a local provider for requests from a certain country, if it fails - fall back to a more expensive global provider.\n2. **Device Attributes:** Regular KYC checks have become too easy for fraudsters. In one case, fraudulent users gained access to legitimate IDs, but the attack was thwarted as all the requests came in with a specific screen resolution set by a bot farm.\n\nWe can go on and on about the list here, But the gist is that on an average, a company ends up writing **100+ rules** using a varied combination of APIs just to prevent account opening scams.\n\nThink about the complexity of the decision engine over time and the resources it takes to maintain them!\\\n\\\n**💡 Solution**\n\nMeet AiPrise: AiPrise provides companies with a single platform with pre-integrated APIs to pick and choose from and easily manage their identity stack.\n\nYou can quickly drag and drop the vendors that best suit your needs into a workflow, add conditional logic on top of it and voila! You are done!\n\nNo more talking to 10 different vendors and negotiating contracts with them. No more reading through the docs of 10 different vendors and integrating them one by one. **You only need to integrate with us once, and get access to all the APIs you need on the go!**\n\nWe already have 15+ vendors integrated on our platform - enabling not just the usual documentary checks, but also KYB and fraud detection.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=65290&key=user_uploads/991872/05cd0a28-d59c-41ed-bda5-673ef156fd3c)\n\n_Glimpse of how you can manage your identity stack with AiPrise_\n\n**What’s more?**\n\n1. We also provide a client-side SDK with completely customizable onboarding screens, that you can integrate with in less than a day.\n2. AiPrise also comes with a set of predefined templates to get you compliance ready super quickly!\n3. Don’t see the API you need? Just shoot us an email and we will work with the API provider to make it available for you.\n\nAt AiPrise, we believe that identity verification is essential to establishing trust on any platform, and that it should be available to startups and big enterprises alike. Hence - **our platform has 0 upfront costs**!\n\n## **Asks**\n\n1. If you are using an existing KYC provider or are looking for one, we can help you future proof your compliance needs. Do reach out! \n2. If you have insights / experience in this space - we would love to learn from you! Please drop a comment and we will reach out to you.\n\nPlease reach out to us at [founders@aiprise.com](mailto:founders@aiprise.com) and we are happy to help set up your compliance and customer onboarding policy.\n\n**Thanks**\n\nFeel free schedule a chat/demo with us at <https://calendly.com/d/dxd-2rr-p24/meet-aiprise>. Feedback is very welcome!",
        "url": "https://www.ycombinator.com/launches/Gz4-aiprise-identity-verification-made-simple",
        "votes": 35,
        "created_at": "2022-08-11T06:42:56.668Z"
      }
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    "id": 27090,
    "name": "CompUp",
    "slug": "compup",
    "former_names": [
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    "website": "https://www.compup.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "With over 500M white-collared job offers rolled out annually, companies find it very difficult to be certain about what to offer. Companies rely on old compensation survey data, which are updated only once every year.\r\n\r\nThe salary expectations of candidates in the market change significantly on a quarterly basis (~7% statistically) in the startup ecosystem.\r\n\r\nThis results in more than 50% of qualified/selected candidates not joining the company due to expectation mismatch.\r\n\r\nCompUp is an API-driven compensation benchmarking tool. We integrate with your existing HR/payroll systems, removing the need for manual data entry, and also getting updated in real-time.\r\n\r\nCompUp provides the most accurate real-time compensation benchmarking data which helps you make the right offer to the candidate. The platform allows you to make better compensation decisions such as annual increments, candidate offers using internal and external data. \r\n\r\nThis has the following advantages :\r\n- All the process of compensation data submission is automatic and needs no manual intervention\r\n- Since the job market is dynamic in nature, the offers made on CompUp's real-time benchmarks would be the most efficient\r\n- The presentation of the offer to the candidate makes it look more appealing and explanatory to the candidate\r\n",
    "one_liner": "Building a compensation graph to help companies optimise people spend",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1656419987,
    "tags": [
      "SaaS",
      "Human Resources",
      "B2B",
      "HR Tech"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/compup",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/compup.json",
    "year_founded": 2020,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/getcompup/",
    "x_url": "https://twitter.com/hire_sure",
    "fb_url": "https://www.facebook.com/be.HireSure/",
    "cb_url": "https://www.crunchbase.com/organization/hiresure",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/418fe819ff51f7a93e3dfa5ef6d26990a3053c22.png",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 858890,
        "full_name": "Anurag Dixit",
        "title": "Founder",
        "founder_bio": "Specializing in user research, I love building and scaling technology solutions for the problems I genuinely wish never existed. I'm passionate about using technology to enhance human capabilities and give them more firepower.\n\nI am currently building HireSure.ai which is a technology breakthrough in white-collar hiring. Stay tuned for more updates from HireSure because the journey has just started.\n\nI love speaking about hiring, candidate experience, hiring brand, and candidate engagement.",
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        "linkedin_url": "https://www.linkedin.com/in/anurag-dixit-131838a5/",
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      {
        "user_id": 861169,
        "full_name": "Ramesh Konatham",
        "title": "Founder",
        "founder_bio": "Engineering graduate from IITK with 15+ years of experience in IT sales & delivery at IBM. Started as a programmer and quickly learnt the art of client delight and delivered  multi million dollar IT M&A projects in US and APAC geos. Best way to deal with unsolved problems no one  solving is to solve yourself and that's the genesis of my entrepreneur journey at HireSure.ai ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ramesh-k-b6044b51/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/863df2d9ce15f2fa239d0c10354dd767f3307007.jpg"
      },
      {
        "user_id": 861181,
        "full_name": "Anshul Mishra",
        "title": "Founder",
        "founder_bio": "Having learned product and technology while creating value out it, has been my journey so far. \n\nInto my second stint as a founder, I am very passionate about developing scalable products and making things that is loved by its users.\n ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anshul-mishra01/",
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    "jobs": [],
    "news": [
      {
        "title": "HireSure.ai Bags Funding From Y Combinator To Help Companies Eliminate Pay Disparities",
        "url": "https://inc42.com/buzz/hiresure-ai-bags-funding-from-y-combinator-to-help-companies-eliminate-pay-disparities/",
        "date": "Feb 15, 2023"
      }
    ],
    "launches": [
      {
        "id": 65208,
        "title": "🚀 Hiresure.ai is Pave for India to Benchmark Compensation",
        "tagline": "HireSure.ai provides the most accurate real-time compensation benchmarking data which helps you make the right offer to your candidates",
        "body": "Hi YC fam [👋.](https://emojipedia.org/waving-hand/) We’re [Anurag](https://bookface.ycombinator.com/user/858890), [Anshul](https://bookface.ycombinator.com/user/861181), and [Ramesh](https://bookface.ycombinator.com/user/861169) and we’re excited to launch [HireSure.ai](http://HireSure.ai)\n\n\\\n😎 **TLDR**: [HireSure.ai](http://HireSure.ai) is a tool that provides the most accurate and **real-time compensation benchmark data**. [HireSure.ai](http://HireSure.ai) allows companies to prepare and communicate their offer to the candidate while predicting the chances of offer decline.\n\n### **😡 The problem**\n\nWith over 500M white-collared job offers rolled out annually, companies find it very **difficult to be certain about what to offer**. Companies rely on old compensation survey data, which are updated only once every year.\n\nThe salary expectations of candidates in the market change significantly on a quarterly basis (**_\\~7% statistically_**) in the startup ecosystem.\n\nThis results in more than 50% of qualified/selected candidates not joining the company due to expectation mismatch.\n\n### [**🤩**](https://emojipedia.org/emoji/%F0%9F%A4%A9/) **The Solution**\n\n[HireSure.ai](http://HireSure.ai) is an API-driven compensation benchmarking tool. We integrate with your existing HR/payroll systems, removing the need for manual data entry, and also **getting updated in real-time**.\n\n\\\n[HireSure.ai](http://HireSure.ai) provides the most accurate real-time compensation benchmarking data which helps you **make the right offer** to the candidate. The platform allows you to communicate your offer to the candidate in the **most presentable and engaging manner**. It also uses behavior signals to **predict a potential dropout** in order to make course-correction to retain them.\n\n\\\nThis has the following advantages :\n\n* All the process of compensation **data submission is automatic** and needs no manual intervention\n* Since the job market is dynamic in nature, the offers made on [HireSure.ai](http://HireSure.ai)’s **real-time benchmarks** would be the most efficient\n* The presentation of the offer to the candidate makes it look **more appealing** and **explanatory** to the candidate\n* **Predicting a potential dropout** help companies put focused efforts into retaining the candidate\n\n![uploaded image](/media/?type=post&id=65208&key=user_uploads/858890/d144ffa8-0f31-4014-b66a-4db7dd8c228c)\n\n\n### [**🤩**](https://emojipedia.org/emoji/%F0%9F%A4%A9/) **The Ask**\n\n* **Warm introductions to Indian startups** (above 100 employees ) for a product demo\n* If you wish to know more or have any feedback (especially negative), we would be very happy to get in touch [anurag@hiresure.ai](mailto:anurag@hiresure.ai)\n\n### **😀 The Deal**\n\n* All Indian YC companies that sign up by Sep’22 shall be getting compensation benchmarks **for free** (make sure you have this data before appraisals [🤭](https://emojis.wiki/face-with-hand-over-mouth/)).\\\n  Reach out to me at [anurag@hiresure.ai](mailto:anurag@hiresure.ai) or [Sign Up Here](https://www.hiresure.ai/about/contact)",
        "url": "https://www.ycombinator.com/launches/Gxk-hiresure-ai-is-pave-for-india-to-benchmark-compensation",
        "votes": 49,
        "created_at": "2022-08-08T17:19:59.840Z"
      }
    ]
  },
  {
    "id": 27096,
    "name": "Relate",
    "slug": "relate",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0725d56b3f25795eb6a4bdff83720f3b685c1167.png",
    "website": "https://www.relate.so/",
    "all_locations": "Seoul, Seoul, South Korea; San Francisco, CA, USA; Remote",
    "long_description": "Relate is a modern Sales and Marketing CRM platform for B2B companies.",
    "one_liner": "All-in-One Sales and Marketing CRM for B2B teams",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1654126259,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "CRM"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "South Korea",
      "United States of America",
      "East Asia",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/relate",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/relate.json",
    "year_founded": 2019,
    "city": "Seoul",
    "country": "KR",
    "linkedin_url": "https://www.linkedin.com/company/relatecrm/",
    "x_url": "https://twitter.com/relatecrm",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pixelic",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0725d56b3f25795eb6a4bdff83720f3b685c1167.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 12460,
        "full_name": "SJ (Sangyong) Jung",
        "title": "Founder",
        "founder_bio": "SJ (CEO) was the co-founder and co-CEO of Sentbe (2015-2018), a fintech company offering cross-border money transfer services. At Sentbe, SJ built the first product and led the product team during the early stages. Today, Sentbe is valued at over $100M. With a background as a full-stack developer and experience in UX, SJ specializes in building small, high-performing product teams.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sangyongjung",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dff7338efa1bbb47c2e5d1405d1b8a4c1224b048.jpg"
      },
      {
        "user_id": 381248,
        "full_name": "Arthur (Hyun June) Kim",
        "title": "Founder",
        "founder_bio": "Co-founder @Relate\nPreviously Sales and Product Lead @Opensurvey",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kimmarthur/",
        "x_url": "https://twitter.com/kimmmarthur",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e301ad5b111240cb31781f336fb2aae8f632eb9.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 88529,
        "title": "Spread - simple email sending for marketing, sales, product, and transactional emails",
        "tagline": "Send all your business emails with one tool.",
        "body": "We’re [Relate](https://www.relate.so/). Our customers kept asking for a simple email tool that works with our CRM.\n\nSo we built it. They loved it. Then we realized everyone wants simpler email sending. That’s why we made it a standalone product — Spread.\n\n**Spread.** **We're making email simple and easy.**\n\n![uploaded image](/media/?type=post&id=88529&key=user_uploads/380923/68398109-cf5f-4980-bea5-1eb8c83b6d13)\n\n**tl;dr**\n\n* **Spread is an email sending platform that combines sales emails (cold), marketing, product, and transactional email together.**\n* Give it a try: [**www.spread.so**](http://www.spread.so)\n\nEmail is still the best way to reach customers. Unlike social media, emails wait in your customer's inbox until they're read. \\*\\*Write something worth reading, and engagement follows.\\*\\*\\\n\\\n**But sending emails is still painful.** Writing a simple oneoff campaign is too complicated. We were tired of using multiple tools for marketing, product, transactional and sales emails.\n\nWorse, managing contacts across tools is chaos - endless CSV exports/imports between marketing, sales, product, and transactional emails.\n\nSpread makes it easy by:\n\n* Notion-like email editor (markdown supported!)\n* Easy integration with emails\n* Automatic 1:1 email sequencing\n* Triggered emails based on contact adds\n* Forms, Docs, Calendar to capture leads",
        "url": "https://www.ycombinator.com/launches/N1t-spread-simple-email-sending-for-marketing-sales-product-and-transactional-emails",
        "votes": 5,
        "created_at": "2025-03-12T18:46:02.099Z"
      },
      {
        "id": 76188,
        "title": "Relate: Modern Sales CRM for B2B Startups",
        "tagline": "Meet Relate, a modern sales CRM platform for B2B startups and small businesses!",
        "body": "Hey YC!\n\nAfter nearly two years of building in private, we are finally opening our doors to build Relate with a broader public user community. **Today, we're launching **[**Relate**](https://www.relate.so/)** — a modern sales CRM software built for B2B startups.**\n\n![uploaded image](/media/?type=post&id=76188&key=user_uploads/380923/6293f5c2-08fd-4db5-9062-f5e8b3a9bdce)\n\n### **Why are we building a new CRM platform?**\n\nIt started with scratching our own itch. Before building Relate, we spent our [first four pivots](https://www.relate.so/blog/six-applications-y-combinator/) working on various B2B products. We needed a way to track our early sales and customer development activities, so we picked a CRM available on the market then — and we quickly found we were limited with old processes.\n\nOur sales motion, as a result, was very slow. We jumped around different CRM solutions, but none worked for us. Adding customer profiles was cumbersome and felt manual. Updating deals daily was taking longer than the selling itself.\n\nWhy isn't there a simple and easy-to-use CRM that just works out of the box?\n\nFor chat, we love using Slack. And for issue tracking, we love using Linear. But what about sales? Why isn't there a CRM that gives you similar excitement and joy as Slack and Linear?\n\nFrustrated by failing to find one, we built Relate to solve our problem.\n\n### **Introducing Relate CRM**\n\n![uploaded image](/media/?type=post&id=76188&key=user_uploads/380923/b84023b5-8f7a-4d1c-91cd-3a40d059d3f2)\n\nRelate offers a simple way to build customer relationships and collaborate with teams in one place.\n\n**Why Relate?**\n\n* It’s simple. No feature bloat, no heavy implementation, workflow setup.\n* Crafted product experience for startups\n* Powerful workflows and collaborative features that come with the product\n* Free plan! Get started without paying\n\n**Relate lets you:**\n\n* Track prospects, deals, and customers in one place\n* Manage your sales workflow and pipeline\n* Link and keep all your sales notes and email history together\n* Collaborate with your team on sales\n* Analyze and monitor sales productivity and efficiency\n\n**Try out for yourself!**\n\n* [**Get started free on Relate CRM**](https://www.relate.so/)\n\n**YC Deal**\n\n* 50% off — Standard Plan for 1 year\n* How to redeem: email [we@relate.so](mailto:we@relate.so) with a screenshot of your company profile on Bookface!",
        "url": "https://www.ycombinator.com/launches/Joq-relate-modern-sales-crm-for-b2b-startups",
        "votes": 20,
        "created_at": "2023-11-13T22:03:51.456Z"
      },
      {
        "id": 64070,
        "title": "Relate - Simple CRM that makes sales easy for startups",
        "tagline": "Relate lets you track customer communication and manage sales in one place.",
        "body": "[**Relate**](https://www.relate.so/) **is a simple sales CRM designed for startups and SMBs.**\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/a66d17d0-fbf0-4b4e-a395-242b8d45dc14)\n\n\\\nWe tried every sales CRM out there and couldn't find a simple, easy-to-use CRM for startups like us. We just wanted something simple - a good way to track leads, deals, and customer communication in one place.\\\n\\\nSo we decided to build it!\n\n**Relate lets you:**\n\n* Track leads & customers in one place.\n* Track deals and manage sales pipeline.\n* Collaborate with your team on customer communication.\n* Use Command+K bar and shortcuts to navigate between customers from your keyboard! 🏄⌨️\n\n**Collaborative sales:** Comment on emails, notes, and deals with your team. Invite your developers, PMs, etc. as guests to share/discuss sales opportunities or customer inquiries together.\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/b55bc706-7849-4472-b7a3-8fe61abece74)\n\n\\\n**Keep your sales notes, emails, customer data in one place:**\n\n![uploaded image](/media/?type=post&id=64070&key=user_uploads/380923/25b3f56f-d824-4627-ba4b-0d87a07fe750)\n\n# **Who's it for?**\n\nEarly-stage B2B founders & sales teams that need easier way to track customers and sales.\n\n# **How does it compare vs. spreadsheets and/or Notion template?**\n\n\\- Relate is simple as spreadsheets, but it is a full-fledged CRM that integrates with your Gmail/Outlook. You can **send/reply to emails in Relate and view email history** for all your customers.\\\n\\- Relate links leads, customer lists, sales pipeline, and your sales notes together.\n\n# **Get early access**\n\nGet on our waitlist & sign up for early access onboarding call today!\\\n👉👉 [**Get Early Access**](https://www.relate.so/)",
        "url": "https://www.ycombinator.com/launches/GfO-relate-simple-crm-that-makes-sales-easy-for-startups",
        "votes": 129,
        "created_at": "2022-06-25T04:51:54.178Z"
      }
    ]
  },
  {
    "id": 27097,
    "name": "Ad Army",
    "slug": "ad-army",
    "former_names": [
      "Conversion Pattern",
      "Findly"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aba1aa30f9ea19c4283a2cbd34673bd680b92532.png",
    "website": "https://ad.army/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Ad Army is an AI creative tool for brands that need a constant supply of ad creative.\r\n\r\nYou build your brand's world once — characters, products, locations — each with locked descriptors and reference images. Then you generate against it: @-mention an entity in a prompt and its references are pulled into the model call, so the same product, the same face and the same location hold across images, video, and dozens of variants. Save any chain of steps as a recipe and replay it on the next campaign.\r\n\r\nWe're model-agnostic by design — video, image, text and audio providers sit behind one interface, and new models land as they ship. For a full narrative spot, the same world scripts, storyboards, animates, voices, captions and exports multi-scene ads in every aspect ratio.",
    "one_liner": "Generate, iterate, and ship AI ad creatives faster",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1660122078,
    "tags": [
      "Generative AI",
      "B2B",
      "Marketing",
      "Creator Economy",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ad-army",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ad-army.json",
    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "",
    "x_url": "https://twitter.com/adarmyai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aba1aa30f9ea19c4283a2cbd34673bd680b92532.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 527274,
        "full_name": "Jonathan Aeschlimann",
        "title": "Founder",
        "founder_bio": "Swiss-Brazilan entrepreneur starting his third venture. Co-founder of divbrands.io, where we grew to become one of Google's most prominent display and video customers in Europe, reached $40M in yearly revenue bootstrapped and managed a team of 100+ remotely.\nExecutive education at Stanford GSB and Chicago Booth. Member of YPO and WEF Global Shapers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonaesh47/",
        "x_url": "https://twitter.com/jonaeschlimann",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6242c48f5f699968be9cfb8d6b2557646f66b566.jpg"
      },
      {
        "user_id": 1011677,
        "full_name": "Lourenço Maciel",
        "title": "Founder",
        "founder_bio": "Lourenço is a self-made entrepreneur with 12 years of digital marketing experience. He has built and led a successful eCommerce company, selling to over 30 countries in 9 languages. Lourenço specializes in advertising, tracking, and attribution with a strategic focus on driving profitable advertising spend, having spent over 50M in ads throughout his career. In 2021, he taught himself to code and developed a system that kept his business attribution working and helped secure 35M in revenue.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lourencomaciel",
        "x_url": "https://twitter.com/_loumaciel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77ee6509541d212b862a8b68093477e9a86ffb1e.jpg"
      },
      {
        "user_id": 393383,
        "full_name": "Pedro Nascimento",
        "title": "Founder",
        "founder_bio": "Pedro is passionate about creating functional teams, great culture and helping people to become the best version of themselves. He has deep interest in computer science, machine learning and math, having large experience on them in both academic and corporate environments. Pedro expertise is to use a strong theoretical framework to solve real world problems. He is a former Google and Twitter engineer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pedro-paulo-nascimento-5792426b/",
        "x_url": "https://twitter.com/pedromnasc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59b9ebb740deb88fb6d4a8b2a0c515d9ece6a07e.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Conversion Pattern receives funding from Y Combinator - Swiss Trade",
        "url": "https://swisstrade.com/news/detail/news/conversion-pattern-erhaelt-foerderung-von-ycombinator/",
        "date": "Sep 03, 2022"
      },
      {
        "title": "Conversion Pattern erhält Förderung von Y Combinator - punkt4",
        "url": "https://punkt4.info/social-news/news/conversion-pattern-erhaelt-foerderung-von-ycombinator.html",
        "date": "Sep 03, 2022"
      }
    ],
    "launches": [
      {
        "id": 65262,
        "title": "Findly.ai - Co-pilot for Business Intelligence 📊💯",
        "tagline": "Empower your decision-makers with 85.7x faster - accurate - insights while saving 97% of technical time",
        "body": "# **TL;DR:**\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) is the co-pilot for Business Intelligence that revolutionizes how businesses understand and interact with their data. By creating an engaging chat environment, it empowers decision-makers to gain insights, request reports, and generate visualizations based on their company's metrics. This seamless interaction is made possible by integrating a metric layer that comprehends all your company's metrics. The chat-based exploration simplifies complex data analysis, allowing users to generate comprehensive summaries with a single click, which can be exported to various formats. Furthermore, with the introduction of scheduled chats and action-triggered automations, [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) enhances the autonomy and efficiency of decision-makers. It's more than a tool; it's a decision-making operational system aiming to facilitate decision-makers in achieving their KPIs while spending less time waiting for data.\n\nHello everyone. We are the team behind [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc), an AI chatbot revolutionizing how you understand and interact with your data. Our aim is to facilitate decision-makers in making insightful, data-driven decisions.\n\n# **🧨 The Problem: Delayed Data Analysis**\n\nNon-data savvy users constantly require information, and data specialists, like developers and data analysts, are overwhelmed by data queries instead of focusing on enhancing the product. And even when reports and dashboards exist, these traditional data exploration methods have proven to be time-consuming and challenging to navigate.\n\n# 🎉 **The Solution:** [**Findly.ai**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc)\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) disrupts this paradigm by providing a conversational interface for your data. It's as if you're chatting with your business metrics, asking questions, requesting reports, and receiving visualizations that paint the complete picture of your internal business metrics.\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) expedites the process of data analysis by providing a single-click solution to generate a comprehensive written summary after your chat-based exploration. These summaries can be exported easily to document formats, emailed, sent to Slack, or even transformed into PowerPoint presentations.\n\nBut there's more to [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc). It introduces the concept of scheduled chats - pre-programmed interactions that happen automatically over time. This means decision-makers can automatically receive written reports on their company's results without someone manually preparing and sending them. It's like having a personal data analyst working for you around the clock.\n\nIn addition, [Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) enables decision-makers to set up automated actions based on the results of these chats. For example, if your revenue sees a month-to-month increase of 20%, automation can be set up to create a Trello card for the revenue team to assess results further and uncover opportunities. The possibilities are endless.\n\n# **💲Opportunity: A Paradigm Shift in Data Analysis**\n\n[Findly.ai](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) is redefining the data analysis landscape. By making data more accessible and interactive, it enables decision-makers to save time on complex data explorations and concentrate on strategic decision-making.\n\n# **👋 Ask: Unleash Your Data's Potential**\n\nIf you want to transform your decision-making process with quick access to data and automated insights, [**click here**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc) ([**https://findly.ai/join**](https://findly.ai/join?utm_source=ycombinator&utm_medium=referral&utm_campaign=launch_yc)) to get started.",
        "url": "https://www.ycombinator.com/launches/Gyc-findly-ai-co-pilot-for-business-intelligence",
        "votes": 140,
        "created_at": "2022-08-10T10:25:41.611Z"
      }
    ]
  },
  {
    "id": 27108,
    "name": "Sanifu",
    "slug": "sanifu",
    "former_names": [
      "Patika Technology Limited",
      "Patika"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc10943e14517d77a119ecad164eb2d76d6db52b.png",
    "website": "https://sanifu.ai",
    "all_locations": "Nairobi, Nairobi County, Kenya; Remote",
    "long_description": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, marketing, operations, and revenue simply describe their repetitive work like cleaning and validating data, matching records, preparing reports and moving data from emails, PDFs and Excel exports into dashboards and other systems. Sanifu captures the steps, rules and outputs so the work is repeated reliably every time\r\n\r\nSome of these work never needed spreadsheets to begin with; the likes of data cleanup, bank reconciliations, report consolidation, payment allocations, channel attributions. Spreadsheets have become the standard workbench for handling these tasks and in the process, teams lose valuable time doing manual data entry, filling templates, formatting data, applying formulas, deleting rows or columns.\r\n\r\nSanifu is replacing the spreadsheet while maintaining the logic and processes behind the work, getting you from inputs to your desired outputs in seconds. This significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\r\n\r\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native functions, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many other features that make it an end-to-end data app management platform",
    "one_liner": "Automate the repetitive work spreadsheets are used for",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1655225496,
    "tags": [
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      "B2B",
      "Analytics",
      "Data Engineering",
      "AI"
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    "regions": [
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      "Africa",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/sanifu",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sanifu.json",
    "year_founded": 2021,
    "city": "Nairobi",
    "country": "KE",
    "linkedin_url": "https://www.linkedin.com/showcase/sanifu",
    "x_url": "https://x.com/SanifuAi",
    "fb_url": "https://www.facebook.com/Patika-Africa-103542242060777",
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    "founders": [
      {
        "user_id": 747527,
        "full_name": "Sidney Rema",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO at Patika - helping finance, marketing, operations, and revenue teams automate the manual data processes they currently do across spreadsheets, emails, PDFs, and disconnected systems.\n\nTrained as a Medical Doctor (Partly). 5 Years+ experience in Banking - Extending credit to micro & small businesses in Nairobi, Kenya. In my previous company, built payments systems with $10M+ monthly GTV across Kenya, Nigeria & Uganda. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidney-rema-90138658/",
        "x_url": "https://twitter.com/sidneyrema_?t=Xr0rdOT-gm2VdRYFbatHRg&s=09",
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      {
        "user_id": 742381,
        "full_name": "Phelix Juma",
        "title": "Founder",
        "founder_bio": "Co-Founder & CTO at Sanifu - helping finance, marketing, operations, and revenue teams automate the repetitive work they spend hours doing manually in spreadsheets \n\nI previously helped 3 companies build payments systems that processed $10M in monthly GTV across Kenya, Uganda and Nigeria. \nI am an EE graduate from University of Nairobi with background in information systems, banking, payments integration and data science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/phelix-juma-80877193/",
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    "launches": [
      {
        "id": 101295,
        "title": "Sanifu: Automate the repetitive work spreadsheets are used for",
        "tagline": "Describe your repetitive and manual work you currently do in spreadsheets and Sanifu turns them into autonomous data apps that run the same way every time.",
        "body": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, revenue, and operations simply describe their repetitive work like cleaning and validating data, matching records and moving data across systems. Sanifu captures the steps, rules and outputs and runs it automatically and reliably every time.\n\nThis significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\n\n<https://www.youtube.com/watch?v=9I1BvbW3n6Y>\n\n### **The problem**\n\nAnalysts and teams in finance, revenue, and operations spend a huge part of their day doing manual data work. Cleaning data, preparing reports, moving things across systems, tracking work. It's repetitive, boring, and takes time away from the parts of their job that actually matter. The same work gets done repeatedly because their data is scattered across systems, emails, PDFs, and files. Only a few people know the rules and exceptions. When they leave, the process breaks.\n\nExisting tools don't solve the whole problem. Spreadsheets, macros, and scripts are brittle and hard to maintain. General AI tools can help, but they reinvent the logic on every run, so outputs need constant checking and can't be trusted for critical workflows.\n\n### **How Sanifu solves this**\n\nAnyone can turn their manual data work into an autonomous data app—just by describing it.\n\n1.⁠ ⁠You describe the process.\n\nIn plain English, you walk Sanifu through what you do. It asks the right questions, handles edge cases, understands your rules, and works with your real data (files, emails, systems) to define the full workflow.\n\n2.⁠ ⁠Sanifu runs it with you.\n\nIt executes the process end-to-end, showing real-time progress and outputs. You review results, make changes, and refine the workflow until it matches exactly what you expect.\n\n3.⁠ ⁠It becomes a reliable operations platform.\n\nOnce approved, Sanifu saves the entire process and turns it into a data app. All future runs replay the exact steps whereby the same input plus same context equals same output. It’s more than a workflow tool: built-in data stores, dashboards, forms, integrations, scheduled and event triggers as well as audit trails.\n\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native components, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many  other features that make it an end-to-end data app management platform.\n\nSome of the fastest growing teams in various industries are already using Sanifu to save their team’s hundreds of hours per day of manual data handling.\n\n**Asks**\n\nIf you run a SaaS, finance, ops, or sales team and you have a workflow that involves cleaning, matching, moving data across systems or manual reporting, please reach out. We'll build your first data app with you, free, in exchange for honest feedback.\n\n* Get Free $25 Credits at <https://sanifu.ai> \n* Talk to us: [founders@sanifu.ai](mailto:founders@sanifu.ai) or WhatsApp +254 712 983 630\n* Intros welcome: anyone in finance, ops, RevOps, or biz ops at a YC company is exactly our ICP.",
        "url": "https://www.ycombinator.com/launches/QLn-sanifu-automate-the-repetitive-work-spreadsheets-are-used-for",
        "votes": 13,
        "created_at": "2026-05-13T18:32:52.849Z"
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      {
        "id": 64212,
        "title": "🚀 Patika - Receivable Automation & Payments for Africa’s SMBs",
        "tagline": "Enabling SMBs in Africa to track customer debt, facilitate the repayments and manage their cash flow",
        "body": "**Patika enables Africa’s SMBs to track customer debt, facilitate the repayments and manage their cash flow**\n\nMy mum runs a small shop and we saw her struggle with this problem. She was spending up to 3 hours a day doing phone call follow ups and reconciliations.\n\n### **Problem**\n\nSMBs in Africa are using pen and paper to record and track customer debt which is ineffective and time consuming. As a result, up to 60% is paid late and they lose as much as $2k a year to non-payments.\n\n![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/aaeddd2a-247c-4173-bfcf-07ba02343ced)\n\n### **Solution**\n\nWe are automating previously manual processes like debt repayment reminders, billing, payments and reconciliations.\n\n1. A business on Patika adds their customer and the debt amount.\n2. Patika sends automated payment reminders directly via SMS or WhatsApp.\n3. The customer can pay them directly through the payment link they received or if paid in cash, they can record the repayment on the app and issue a receipt.\n\n   ![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/9aff975c-0730-4a97-9e40-a87d1b2fff2f)\n\n\n### **Want to join us?**\n\n1. You can reach us at [founders@patika.africa](mailto:founders@patika.africa)",
        "url": "https://www.ycombinator.com/launches/Ghg-patika-receivable-automation-payments-for-africa-s-smbs",
        "votes": 43,
        "created_at": "2022-06-30T05:47:38.319Z"
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    "id": 27124,
    "name": "KemNet",
    "slug": "kemnet",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87dbae0192e991623d9682eb424425647194b9d8.png",
    "website": "https://kemnet.ca/",
    "all_locations": "Victoria, BC, Canada; Edmonton, AB, Canada; Remote",
    "long_description": "KemNet supplies pharmacies with premium reformulations of popular drugs that are more useful for specific groups of patients. For example, more than 30 pharmacies rely on KemNet to supply reformulated products for erectile dysfunction that work up to 8 times faster than alternatives. In addition to sexual function, products reformulated for novel drug delivery and supplied on KemNet include medications for hair growth, pain, weight loss and women's health.\r\n",
    "one_liner": "KemNet supplies reformulated drugs for specific groups of patients.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1659998959,
    "tags": [
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      "B2B",
      "Digital Health",
      "E-commerce",
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    "batch": "Summer 2022",
    "status": "Active",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/kemnet.json",
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    "city": "Victoria",
    "country": "CA",
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        "full_name": "Morẹ́nikẹ́ Ọláòṣebìkan",
        "title": "Founder",
        "founder_bio": "Morẹ́nikẹ́ Ẹniọlá Ọláòṣebìkan is a Licensed Clinical Pharmacist and Pharmacy Proprietor. She serves as a Clinical Academic Colleague at the Faculty of Pharmacy & Pharmaceutical Sciences, University of Alberta. She is building a platform to supply pharmacies with premium reformulated medications for specific groups of patients.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/morenike",
        "x_url": "https://twitter.com/PharmMorenike",
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    "launches": [
      {
        "id": 65221,
        "title": "KemNet 🚀  Because Not All Pills Should Be Swallowed! 💊",
        "tagline": "We supply premium reformulated medications for specific groups of patients.",
        "body": "**Imagine**\n\nEver wondered if taking medications could be a pleasurable experience? 🤔\n\n🤓 or wondered how long it takes for Erectile Dysfunction medications to work when they are swallowed? … whilst wondering this, did you ever also randomly wonder \\[for no apparent reason\\], [how long they take to work after that fatty steak](https://www.mayoclinic.org/diseases-conditions/erectile-dysfunction/in-depth/erectile-dysfunction/art-20047821) and red wine date night?\n\nDid you know that [50% of patients](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068890/) do not take their medications as prescribed? … for many reasons … including complicated regimens and unpleasant medication use experiences. 👀\n\n**About Us**\n\nI am [Morẹ́nikẹ́ Ẹniọlá Ọláòṣebìkan](https://www.ycombinator.com/companies/kemnet) and I am thrilled to share **KemNet** with you. 😇\n\nKemNet supplies pharmacies with premium reformulations of popular drugs that are more useful for specific groups of patients. For example, we supply reformulated products for erectile dysfunction that work up to 8 times faster than alternatives 🎉. In addition to sexual function, other reformulated products for novel drug delivery are supplied on KemNet including medications for beauty, hair growth, pain, weight loss and women’s health.\n\nWe are a Business to Business - “Amazon” for customized medications.\n\nAt KemNet we think that empathy is great for patient care so we source and supply customized medications accordingly. Patients adhere to medications that are formulated to work faster, and are enjoyable to use, with reduced side effects. It turns out that empathizing with patients by design is also really good business, because our pharmacy customers’ bottom-line grow as well. I stumbled into these insights around empathy by medication formulation design, as a multi-pharmacy owner.\n\n<https://www.youtube.com/watch?v=2U2G5QED3SU>\n\n**Calling You … Yes… YOU!**\n\n**Patients**\n\n**_Interested in learning more about our personalized fast acting medication formulations for yourself?_**\n\n[REGISTER](https://forms.gle/pi6TAgjqQWhXMJWe7) by August 31st.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**Prescribers**\n\n**_Interested in learning more about our_ personalized fast acting medication formulations for your patients?**\n\n[SUBSCRIBE](https://forms.gle/ivNbgewqLRdC7gyQ9)\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_\n\n_-_\n\n**YOU!**\n\n**_Tell Physicians, Nurse Practitioners, Pharmacists about KemNet_**\n\n_\\* quick blurb to copy & paste:_ A multiple award winning, serial entrepreneur and pharmacy owner is contributing to the future of medicine by supplying personalized patient centred medications. Check her out and contact [founders@kemnet.ca](mailto:founders@kemnet.ca) for more.\n\n_Tell a friend._ _Spread the_ ❤️ _Share this post!_",
        "url": "https://www.ycombinator.com/launches/Gxx-kemnet-because-not-all-pills-should-be-swallowed",
        "votes": 39,
        "created_at": "2022-08-09T04:44:05.947Z"
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    "id": 27137,
    "name": "PrimeVault",
    "slug": "primevault",
    "former_names": [
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      "Excheqr"
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    "website": "https://www.primevault.com",
    "all_locations": "Bengaluru, KA, India; Remote",
    "long_description": "PrimeVault is the all-in-one digital asset and stablecoin platform for enterprises and financial institutions. Built for modern finance, PrimeVault combines secure wallets, programmable treasury, compliance, and market access in one seamless solution. \r\n\r\nWith robust security and modular infrastructure, PrimeVault empowers institutions to issue, manage, and move digital assets at scale.\r\n\r\nDiscover how we makes digital asset finance simple at primevault.com.",
    "one_liner": "Infrastructure powering stablecoin and digital finance",
    "team_size": 11,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1659127326,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Payments",
      "B2B",
      "Infrastructure"
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    "tags_highlighted": [
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "South Asia",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/primevault",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/primevault.json",
    "year_founded": 2022,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/primevault",
    "x_url": "https://twitter.com/primevaultHQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/excheqr",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c063ef6501ec4e09baa9f49d2abc635ba2fa65b8.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 982839,
        "full_name": "Prashant Upadhyay",
        "title": "Founder",
        "founder_bio": "Co-founder @ PrimeVault - turnkey technology platform for enterprises and financial institutions to launch and scale their digital assets use case: stablecoin-powered payments and issuance, RWA tokenization, crypto trading / brokerage and more. Formerly, first PM @ Rippling (YC W17) building and scaling payroll, payments, compliance, risk and accounting products. Math, payments and travel nerd.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prashant-upadhyay/",
        "x_url": "https://twitter.com/prashantupd",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17bbdd3ebf93ec39702cd94d4953478a00f5aa0c.jpg"
      },
      {
        "user_id": 587423,
        "full_name": "Vivek Kumar",
        "title": "Founder",
        "founder_bio": "Co-founder @ PrimeVault,\nFormer Tech lead at Rippling",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivek-kumar-578013119/",
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    "jobs": [
      {
        "id": 65428,
        "title": "Full-time Backend Engineer",
        "url": "https://www.ycombinator.com/companies/primevault/jobs/zH4amoV-full-time-backend-engineer",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 79609,
        "title": "Marketing & Growth Lead ",
        "url": "https://www.ycombinator.com/companies/primevault/jobs/3FXwQzR-marketing-growth-lead",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN / Dubai, Dubai, AE",
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        "title": "YC-backed PrimeVault Builds the Future of Institutional DeFi - Decrypt",
        "url": "https://decrypt.co/154919/yc-backed-primevault-builds-the-future-of-institutional-defi",
        "date": "Sep 04, 2023"
      },
      {
        "title": "Enterprise insights from YC S22 Demo Day | Wing Venture Capital",
        "url": "https://www.wing.vc/content/enterprise-insights-from-yc-s22-demo-day",
        "date": "Sep 15, 2022"
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      {
        "title": "Crypto and web3 stands out in the YC Summer 2022 batch",
        "url": "https://techcrunch.com/2022/09/07/y-combinator-crypto-investment-summer-2022/",
        "date": "Sep 07, 2022"
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    "id": 27141,
    "name": "Avina",
    "slug": "avina",
    "former_names": [
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    "website": "https://avina.io",
    "all_locations": "New York City, NY, USA",
    "long_description": "Avina uses AI agents to find prospects that are ready to buy, surface the warmest ones to your team and automate outreach to the rest.\r\n\r\nCompare us to tools like Unify or Common Room.",
    "one_liner": "GTM signals engine for sales teams. Automate warm outbound with AI.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1673552937,
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      "Marketing",
      "AI"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/avina",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/avina.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/avinaio/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 185378,
        "full_name": "Vivek Sudarsan",
        "title": "Founder/CEO",
        "founder_bio": "Automate warm outbound with signals.\n\nI'm the CEO and co-founder of Avina. Previously I was the CPO of Bowtie which was acquired by Mindbody, and helped scale the product to thousands of customers after our acquisition.\n",
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        "user_id": 972936,
        "full_name": "Mike Wang",
        "title": "Founder",
        "founder_bio": "Hi! I'm the CTO & Co-founder of Avina. Previously I was CTO & Co-founder of Bowtie, an AI receptionist that we sold to Mindbody. Would love to chat about new tech, startup life, AI, social impact, sci-fi, philosophy, or the latest Netflix show :)",
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      {
        "id": 99611,
        "title": "Avina: GTM Agents to Reach Your Next Customer",
        "tagline": "Avina finds the companies that actually need your product right now, qualifies them, and automatically engages them with personalized AI outreach",
        "body": "**TL;DR:** Create your dream GTM motion at the speed of thought. Describe your ideal buyer or buying trigger in a single sentence. Avina finds matching companies 24/7, enriches them with verified contacts, writes personalized sequences tied to the exact signal, and syncs leads wherever your team works. Signal to AI outbound, fully automated. Starting at $149/mo.\n\n👋 Hey friends, we're Vivek and Mike (YC S22). We previously built and sold Bowtie to Mindbody, and now we're building Avina to fix outbound.\n\n<https://youtu.be/rdUnYD9Z6Ac>\n\n**The problem**\n\nGeneric outbound is dying, but doing smart outbound is still painfully hard.\n\nThe pitches that get replies are the ones that arrive right when something happening at the prospect's company makes your product feel relevant. The hard part has always been finding those moments at scale and acting on them fast.\n\n**Our solution**\n\nAvina finds the companies that actually need your product right now, qualifies them, and automatically engages them with personalized AI outreach. All synced with your existing sales stack.\n\n![uploaded image](/media/?type=post&id=99611&key=user_uploads/185378/d34b49d3-f41b-4940-83da-11472e593ba8)\n\n**How it works**\n\nDescribe your ideal buyer or buying trigger in a single sentence:\n\n* _Selling usage-based billing?_ \"PLG companies that just launched an API in the last 3 months\"\n* _Selling compliance automation?_ \"Companies awarded a prime DoD contract in the last 30 days\"\n* _Selling cybersecurity?_ \"Healthcare companies that experienced a data breach in the last 6 months\"\n* _Selling voice AI?_ \"Mid-market home services companies with recent negative reviews mentioning 'long wait times' or 'understaffed'\"\n\nIt works for first-party intent too. Website visitor de-anonymization is built in (RB2B, Vector, and more), so you can act on inbound signals like \"prospects that visited our pricing page for more than 2 min.”\n\n![uploaded image](/media/?type=post&id=99611&key=user_uploads/185378/601dc08e-720f-4466-9deb-433c0902d7df)\n\nAvina takes it from there. Four agents handle the full pipeline:\n\n1. **Signals Agent** monitors the web 24/7 for matching companies: press releases, job posts, LinkedIn posts, technographics, inbound site visitors, and more\n2. **Qualification Agent** scores leads against your ICP, finds your target contact at the company, and enriches them with verified contact details.\n3. **Outbound Agent** researches each company, writes personalized emails tied to the specific trigger, and sends via your existing sequencer (Instantly, HubSpot, Lemlist, Smartlead) so you keep your warmed domains\n4. **Workflow Agent** syncs every lead to the rest of your stack: CRM lists, Slack, Clay, Zapier, and more\n\n**Try it free!**\n\nStart a 14-day free trial at [avina.io](http://avina.io).\n\nNot sure what signals to start with? Our in-product **Signal Recommender** analyzes your website and suggests high-impact buying triggers, and we have a[ library of 250+ examples for inspiration](https://avina.io/signals-library).",
        "url": "https://www.ycombinator.com/launches/Pud-avina-gtm-agents-to-reach-your-next-customer",
        "votes": 73,
        "created_at": "2026-04-09T19:01:26.818Z"
      },
      {
        "id": 86233,
        "title": "Avina - X-ray vision for your sales team 🩻✨",
        "tagline": "See what your leads are reading on your site, and use AI to move those deals forward - fast.",
        "body": "# **⚡️ TL;DR**\n\nAvina is an AI sales companion for full-cycle sellers.\n\n* Use Avina’s advanced reasoning to get custom buying signals on your accounts. Don’t waste $$ on stale databases that aren’t tailored to your business!\n* Get x-ray alerts on **exactly what your prospects are reading** on your site to turn marketing engagement into booked meetings.\n* Use every insight to draft perfect messages using Avina’s in-context email and LinkedIn drafting.\n* Get pre and post-meeting briefs tailored to your business and playbooks so you never miss a deal-moving detail.\n* Avina fills out all your CRM fields after every call, saving you 5-10 hours a week.\n\nUsing Avina, sellers get help at every step of the journey to move deals forward - fast. \n\n### **The Problem:**\n\nThe predictable revenue model is dead, and AI SDRs are flooding channels with noise. Sellers need a better way to break through without wasting hours trying to comb through various systems to find the right insights to move a deal forward.\n\n### **The Solution:**\n\n<https://youtu.be/vq2wIYpSznE>\n\n**AI isn’t here to replace you. It’s here to guide you to take the optimal action and free you of tedious, repetitive labor.**\n\nStep 1. Use Avina’s AI crawler to get the exact signals you need to prioritize accounts.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/6c3dd813-590a-4f4a-9597-4939b6a6a4cf)\n\nStep 2. Draft the perfect email or LinkedIn message using Avina’s Chrome extension to get your target leads to notice you and drive them to your site!\n\nStep 3. Get real-time x-ray alerts on _exactly what they are reading or screenshotting on your site._\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/654fbc30-d36f-4a97-b0ab-9aec38987e9a)\n\nStep 4. Use Avina’s Slack bot to research and craft messaging for accounts on the topics that matter most to them.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/e7ef2eca-1eae-4af7-b480-d7f69c9c49be)\n\nStep 5. Get the meeting!\n\nStep 6. Get a pre-call brief from Avina with the full context about the account.\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/e6daea04-a598-4c32-82b9-a4acc3c9477b)\n\nStep 7. Record, transcribe, and extract key information from the call using Avina’s call bot.\n\nStep 8. Get a post-call brief mapped to your playbook, tracking everything that moves your deals forward.\n\nStep 9. Push info that Avina captured on the call to your CRM right from Slack!\n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/dcedfb04-ce60-4f96-8896-a30f5d100ee3)\n\n\\\n**Avina is plug-and-play. Go live in as little as 30 minutes.**\n\n📈 Businesses see a 30% increase in opportunities created.\n\n⏳ Sellers save 5-10 hours of manual work a week.\n\n💡 Execs get the data they need to make the best decisions.\n\n**The Team** \n\n![uploaded image](/media/?type=post&id=86233&key=user_uploads/989537/aac13df0-3550-4f0b-8d90-eb6bcc481b03)\n\nWe’re Mike, Vivek, and Ron, 2x co-founders who have seen how useful data there is for sellers, if only they had a little help making use of it. \n\nWant X-ray vision or your team? [Book time with us here](https://calendly.com/meshwithron/avina-x-ray-vision-for-your-sellers)\n\nOr reach out directly: [ron@avina.io](mailto:ron@avina.io)",
        "url": "https://www.ycombinator.com/launches/MQr-avina-x-ray-vision-for-your-sales-team",
        "votes": 15,
        "created_at": "2024-12-11T18:46:22.133Z"
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    "name": "UpLink",
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    "country": "US",
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        "full_name": "Alexander Grant",
        "title": "Founder",
        "founder_bio": "Alex is a strong technical leader with a passion for software development. He specializes in the end-to-end software delivery cycle, from writing scalable and understandable code to complete full-stack automated testing. Highlights of his career thus far include scaling a data acquisition platform from a dozen users in the US to 20k users globally over the course of 2 years.",
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        "full_name": "Brady Ochse",
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        "founder_bio": "Brady has always been obsessed with figuring out how things work, and his curiosity led him to computers. When he discovered the magic of making a machine do something with just words, he found a lifelong passion.\n\nThat passion turned into disillusion when at a large company, but Brady realized software could be great with more emphasis on quality, the user, and thoughtful decision making. So, he left the corporate world to join people who share his love for building something truly great.",
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        "user_id": 1033890,
        "full_name": "Nicholas Yarmesch",
        "title": "Founder",
        "founder_bio": "Ever since he can remember, Nick has been interested in technology. His idea of fun includes reading technical manuals for microcontrollers and reverse engineering the barcodes on Nespresso capsules.\n\nIn college, he built the hardware and developed the software to retrofit his 2002 Lexus with a secure receiver that unlocked his car when he approached wearing his Apple Watch.\n\nYou’re most likely to run into Nick in his blue Cayman on the trip between his house and Starbucks.",
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        "title": "UpLink 📄 Manage Document Requests at Scale",
        "tagline": "UpLink helps professionals manage large volumes of document requests",
        "body": "### **What we do:**\n\nSimplify the process of managing document requests at scale.\n\n### **Who has this problem:**\n\n* Auditors (need hundreds of docs from each client)\n* Tax professionals (need lots of tax forms)\n* Lenders/Brokers (need dozens of docs from each loan applicant)\n* Certification programs (need docs from each applicant)\n* HR (need onboarding docs from new employees)\n\n### **How UpLink solves the problem:**\n\nUpLink is a SAAS application that associates a workflow (requested, in review, rejected, complete) with each request.\n\n![Workflow_V2.png](https://static.wixstatic.com/media/28ce1d_44995060299d4371966945698cf092e0~mv2.png/v1/fill/w_1255,h_245,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/Workflow_V2.png)\n\nThis workflow allows you to easily track the status of individual document requests across hundreds or thousands of projects.\n\n**Automatic Notifications:**\n\n![Notifications.png](https://static.wixstatic.com/media/28ce1d_bf43b94976c14c74ab1070b48f2587a8~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Notifications.png)\n\n**Helpful Reminders:**\n\n![Reminders.png](https://static.wixstatic.com/media/28ce1d_70d53a764910420c8aeed0e2f1ee7b4b~mv2.png/v1/fill/w_850,h_473,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/Reminders.png)\n\n**Backstory:**\n\n2 of our co-founders were auditors at PwC and had this problem firsthand. It took years for PwC to finally build a custom solution to address this, but it’s a common problem and most companies (especially auditors) don’t have access to a decent solution.\n\n# **Try it out:**\n\n[Interactive demo](https://demo.uplinkapp.io) (no sign-up, in-browser)\n\n[Check out our site](https://www.uplinkapp.io)\n\nEmail me ([alex@uplinkapp.io](mailto:alex@uplinkapp.io)) for a personal demo, any questions, or if you’d like to introduce me to anyone you think would find UpLink valuable =)",
        "url": "https://www.ycombinator.com/launches/Gf8-uplink-manage-document-requests-at-scale",
        "votes": 23,
        "created_at": "2022-06-24T18:07:02.817Z"
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    "id": 27154,
    "name": "Superbar",
    "slug": "superbar",
    "former_names": [
      "Caddie",
      "Caddie AI",
      "Superbar (Formerly Caddie)"
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    "website": "http://www.superbar.ai",
    "all_locations": "Toronto, ON, Canada; Remote",
    "long_description": "Superbar instantly answers questions on your website and drives conversions 24/7. It's like having a top salesperson on every page.\r\n",
    "one_liner": "Sales AI for your Website",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1656364678,
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      "B2B",
      "Marketing",
      "Enterprise"
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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    "year_founded": 2021,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/superbar-ai",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Alan Nowogrodski",
        "title": "Founder",
        "founder_bio": "Alan is the Founder and CEO of Superb. He previously was a Head of Product for the payments and mobile business at FreshBooks. He started as a PM and built the unit from $0 to $30M+ in annual revenue in under 5 years. Alan later joined NinjaCat as a VP of Product Management and member of the executive team. He took additional responsibilities as VP of Marketing and VP of Engineering Operations. \n\nHe started his career by building a web development company in the early 2000s while in high school.",
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      {
        "id": 64194,
        "title": "🚀 Caddie - Schedule Meetings & Qualify Inbound Leads",
        "tagline": "Automate your inbound lead qualification and book more meetings!",
        "body": "# Book More Demos from Your Website\n\n[Watch a Demo](https://youtu.be/72TtCntEkac)\n\n### 😄 **About Us** → Our Customers Were Pissed Off, So We Did Something About It\n\nIn our past life, Marshall and I led sales and marketing teams. More recently, we asked ourselves:\n\n* Why does conversion in B2B websites suck (from Visitor to a Demo Booked)?\n* Why do we keep hearing complains that customer just “want a F\\*&!ng demo!”?\n\nWe explored solutions to fix this and Caddie hit us in the face.\n\n### **🤬** Problem → Too Much Friction to Request a Demo\n\n* **Friction is Killing Leads** → 83% of interested buyers never make it to a demo because there are too many steps to get a demo.\n* **Speed Matters →** 74% of buyers purchase from the first company they see a demo from.\n* **Have SDRs do Qualification Calls? →** Adding an SDR qualification step leads to 30% drop-off in pipeline. In addition, they are expensive and hard to hire.\n\n## 🚀 Solution → Make It Easy to Schedule & Qualify\n\n* Build a personalized **demo** **scheduling experience.**\n* **Qualify inbound** leads by asking simple questions.\n* Using logic and point scoring, **route** to the right Account Exec.\n* Finally, allow qualified prospects to **schedule a demo** on the spot.\n\nTry a demo by going to [trycaddie.com](http://trycaddie.com)\n\n**Using Calendly? →** We allow you to qualify prospects before bad leads jam your calendar. In addition, we shorten your contact form by getting key insights from a database of 200M+ records so you don’t need to ask for “First Name”, “Company”, “# of employees”. The result is 50%+ more qualified leads than with Calendly.\n\n## 💰 The Impact → 2X More Demos, Faster Deal Speed, No Need for SDRs to Qualify Manually.\n\n* Book 2X more demos by removing friction.\n* Improve speed from lead to opportunity by 50% by cutting steps.\n* Have SDRs qualifying leads? → Cut $100,000s in costs.",
        "url": "https://www.ycombinator.com/launches/GhO-caddie-schedule-meetings-qualify-inbound-leads",
        "votes": 32,
        "created_at": "2022-06-29T20:32:47.116Z"
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    "name": "Sonnet",
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    "one_liner": "Meeting notes and CRM, automated",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1655427470,
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        "full_name": "Ted Chai",
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        "body": "Hey 👋 We’re [**Ted Chai**](https://www.linkedin.com/in/tedchai/) and [**Dylan Feng**](https://linkedin.com/in/dylan-feng) from [**Sonnet**](https://sonnetai.com/)**!**\n\n**TLDR:** No one likes taking meeting notes or updating CRMs. Sonnet automates the entire process for you.\n\n### **Problem**\n\nWe all know the best practices for taking meetings: research the participants before the call, take notes, send a follow up email, update your CRM—but we usually don’t do any of it. These tasks are important but tedious.\n\n### **Solution**\n\nSonnet uses AI to do all your meeting work that can be automated (note taking, follow-up emails, CRM) and brings you all the information you need for tasks that can’t (pre-meeting research, meeting reminders).\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/2082970c-374f-49d2-9960-a4daeea7ee47)\n\n### **How is this different?**\n\n* Sonnet speeds up your pre-meeting research and post-meeting follow-ups, not just your during-meeting note-taking.\n* Meeting bots are distracting; Sonnet records without one.\n* Sonnet has a built-in CRM, auto-updated with your conversation data.\n* Existing AI notes tend to be too broad to replace human notetaking. You can instruct Sonnet on what to focus on, so it always captures the info you care about.\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/47fe97ec-f77c-49af-afaa-51fd66392b6e)\n\n### **The Team**\n\nTed and Dylan were college roommates at UC Berkeley before starting Sonnet. Ted left college early and has previously worked at Uber and the U.S. Department of State. Dylan graduated in 2 years and has conducted AI research at BAIR.\n\n![uploaded image](/media/?type=post&id=79677&key=user_uploads/912744/b0f1c3c6-7849-4014-b162-b9b84021a5ae)\n\n### **Our Ask**\n\nGive it a try! Sonnet is [**free to get started**](https://sonnetai.com/) and available to download today. We’d love to hear your feedback.",
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    "city": "Amsterdam",
    "country": "NL",
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        "user_id": 233375,
        "full_name": "Bryan Onel",
        "title": "Founder",
        "founder_bio": "Penetration Tester with 10+ years of experience helping companies become more secure by simulating advanced attacks. Has experience leading security teams and architecting offensive and defensive security solutions.\n\nBefore pursuing a career in hacking, Bryan studied AI and Medicine.",
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        "url": "https://www.ycombinator.com/companies/oneleet/jobs/eJbx6wR-senior-product-designer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$130K - $165K",
        "equity_range": "",
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      {
        "id": 97510,
        "title": "Fullstack Engineer, AI Implementation",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/LIybTCA-fullstack-engineer-ai-implementation",
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        "id": 97511,
        "title": "Application Security Engineer",
        "url": "https://www.ycombinator.com/companies/oneleet/jobs/qKwsUvP-application-security-engineer",
        "location": "US / GB / NL / Remote (US; GB; NL)",
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        "url": "https://www.ycombinator.com/companies/oneleet/jobs/oR8tXgm-fullstack-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
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        "title": "Oneleet raises $33M to shake up the world of security compliance | TechCrunch",
        "url": "https://techcrunch.com/2025/10/02/oneleet-raises-33m-to-shake-up-the-world-of-security-compliance/",
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        "title": "Oneleet - Compliance without Security Theater",
        "tagline": "The all-in-one Security and Compliance platform for SOC 2, ISO, HIPAA, and more.",
        "body": "![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/6e14f2e5-0ed9-4b12-98f8-e194071f08d4)\n\n# **What is Oneleet in a nutshell?**\n\n[Oneleet](https://www.oneleet.com/) helps companies build genuine security and achieve compliance without the usual security theater BS.\n\nWe provide a comprehensive all-in-one solution for SOC 2, ISO 27001, HIPAA, GDPR, & PCI compliance, including automation, penetration testing, audit support, and continuous monitoring.\n\nOur hands-on approach and in-house security expertise have quickly made us the #1 choice for compliance in the YC community.\n\n[Book a call with us if you’re in the market for compliance](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction?preview_source=et_card)\n\nㅤ\n\n# **Why We Built Oneleet**\n\nHey! I’m Bryan Onel, the CEO of Oneleet. I co-founded Oneleet with my wife, Ora Onel, and my best friend, Erik Vogelzang, with one mission: to help startups build genuine security without the nonsense.\n\nAfter spending a decade as a penetration tester and security program manager, I grew frustrated with platforms that claimed to help with compliance but were really just about ticking boxes. They weren't helping businesses _become_ secure—they were just pretending.\n\nThat’s why we built Oneleet: to be the solution that truly focuses on security, not just compliance theater.\n\nㅤ\n\n# **The Problem**\n\nLet's be honest… most compliance platforms are all about security theater:\n\n* Ticking boxes instead of building actual security, making you waste time on useless things that are irrelevant to security\n* Dumping checklists on you and wishing you good luck\n* Making you juggle countless tools and vendors\n* Leaving you to deal with external auditors who don't understand real security\n* Hitting you with unpredictable pricing that keeps changing\n\nㅤ\n\n# **Our Solution**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/e8d1a05a-7731-463b-97f6-6dad7407b58e)\n\nOneleet is here to change the game:\n\n* We build real-world security controls that actually protect your business\n* We take ownership of the entire process, from start to finish\n* We provide everything you need in one place, no vendor juggling required. Even code scanning and attack surface management are built in\n* We deal with external auditors, so you don't have to, speaking their language when needed\n* We act as an extension of your team, providing ongoing expert security help\n\nㅤ\n\n# **How It Works**\n\n1. **Scoping** – We assess your infrastructure, security concerns, and compliance needs\n2. **Custom Program** – We craft security that fits your size and needs\n3. **Expert Setup** – Our team of security and compliance experts guides you through implementation minus the jargon\n4. **Penetration Testing** – OSCE-certified experts find your weak spots\n5. **Compliance Automation** – We streamline SOC 2, ISO 27001, HIPAA, and more\n6. **Auditor Wrangling** – We battle incompetent external auditors so you don't have to\n7. **24/7 Protection** – Continuous monitoring keeps you secure, always\n\nㅤ\n\n# **What We Offer**\n\n![uploaded image](/media/?type=post&id=84326&key=user_uploads/233375/ddd8e80c-171f-45c2-a7bb-ce6baba122f5)\n\n* Compliance automation that actually works (SOC 2, ISO 27001, HIPAA, GDPR, & PCI)\n* OSCE-certified penetration testing\n* Third-party auditing with external auditors who get security\n* vCISO services\n* Employee Portal\n* Code security scanning\n* Attack surface monitoring\n* Mobile Device Management (MDM)\n\nㅤ\n\n## **Ready to Ditch Security Theater?**\n\nIf you're tired of pretending to be secure and want the real deal:\n\n* Book a call: https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction\n* Email us: [founders@oneleet.com](mailto:founders@oneleet.com)\n\nStuck with another platform? We can often help you get out of a contract and migrate everything to Oneleet. [Book a call with us to explore your options.](https://calendly.com/d/cwr7-ztb-xxq/oneleet-introduction)",
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    "jobs": [],
    "news": [
      {
        "title": "Wondercraft raises $3 million Seed funding for the 'Canva of audio' - Tech.eu",
        "url": "https://tech.eu/2024/01/29/wondercraft-raises/",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Wondercraft: Audio AI Startup Raises $3 Million in Seed Funding",
        "url": "https://www.businessinsider.com/wondercraft-audio-ai-startup-raises-3-million-in-seed-funding-2024-1",
        "date": "Jan 29, 2024"
      },
      {
        "title": "Wondercraft raises $3m to build AI-powered Audio Studio",
        "url": "https://www.wondercraft.ai/blog/wondercraft-launches-audio-studio",
        "date": "Jan 29, 2024"
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    "launches": [
      {
        "id": 71541,
        "title": "🎙 Wondercraft - Create studio-quality podcasts in seconds",
        "tagline": "We enable anyone to create studio-quality podcasts in seconds using AI-powered text-to-speech technology.",
        "body": "**_Tl;dr:_** _Wondercraft leverages AI to simplify podcast creation. Tell us the name of your podcast and what you want to talk about in this episode and we’ll generate a podcast for you in seconds. Add your own music, voices, and make sure it’s just right for your use-case. Whether you're a seasoned podcaster or new to the game, _[_Wondercraft_](https://www.wondercraft.ai/)_ makes it easy to create engaging content._ _Curious how it sounds? Check out the [_Hacker News Recap_](https://www.buzzsprout.com/2170103)._\\\n[_CHECK OUT DEMO_](https://youtu.be/0VYh2TFYVCY)\n\nHey there, we are Dimitris and Youssef, co-founders of Wondercraft. Our mission is to empower podcast creators with cutting-edge AI technology, making podcasting accessible to anyone.\n\n### **🧨 The Problem: Podcasting can be time-consuming and challenging**\n\nCreating high-quality podcasts is not easy, and finding the right voice for your content can be a struggle. Moreover, recording your own voice can be time-consuming, and outsourcing it can be costly.\n\n### **🎉 The Solution: AI-Powered Text to Speech Technology for effortless Podcast Creation**\n\nWondercraft is redefining podcast creation with AI-powered text-to-speech technology. Our virtual studio seamlessly translates your content ideas into an engaging script, brought to life by a spectrum of realistic AI voices. For a more intimate connection with your audience, you can even utilize a clone of your own voice. Complementing the narrative, you can layer-in music and sound effects for a richer listening experience. And the best part? Publication to podcast platforms is a breeze - execute it all directly from our integrated platform.\n\n### **🔦 Use Cases: Business marketing, newsbites and more**\n\nCrafting marketing podcasts for businesses, transforming blog posts into auditory experiences, and producing quick newsbite podcasts for various publications are just a few of the exciting uses for our platform that we're currently seeing. Even podcast studios are loving this as an accelerant to their current work. **A standout success story** has been the [Hacker News Recap podcast](https://hackernewsrecap.buzzsprout.com/). This daily digest, reviewing the top 10 posts on Hacker News, is created entirely through Wondercraft's automated tools. Impressively, in just 1 month, it climbed into the [top 40 tech podcasts chart on Spotify](https://www.wondercraft.ai/post/ai-podcast-enters-top-50-in-28-days).\n\n![uploaded image](/media/?type=post&id=71541&key=user_uploads/1010390/0578d4af-68b2-4a03-8930-1fca74a0c5af)\n\n\\\n**💲Opportunity: The Exciting Future of Podcasting**\n\nPodcasting is on the brink of a big change. AI tools are making it easier than ever to start your own podcast and connect with your audience.\n\nWhat's more, we see a future where podcasts are tailor-made for every listener. With AI making the audio, the only hurdle left is picking the content - a challenge that many have already mastered. Want to learn more? Reach out to [team@wondercraft.ai](mailto:team@wondercraft.ai).",
        "url": "https://www.ycombinator.com/launches/Ibt-wondercraft-create-studio-quality-podcasts-in-seconds",
        "votes": 17,
        "created_at": "2023-05-12T16:18:07.685Z"
      },
      {
        "id": 65039,
        "title": "Moonshot - Angel Investing in athletes  🏈🎾⚽️🏀🚀",
        "tagline": "Support you favourite athlete early on, share some of their future success",
        "body": "**tl;dr** 🏈🎾⚽️🏀\n\nWith Moonshot you can angel invest in athletes. We enable promising athletes to fund their professional journey with the help of a community of backers, in exchange for a portion of their earnings when they make it.\n\nHey everyone! We’re [Youssef](https://www.linkedin.com/in/youssef-rizk-397b19107/) and [Dimitris](https://www.linkedin.com/in/dimitris-nikolaou-29753080/), co-founders of Moonshot. We met working at Palantir as software engineers and recently left to build on a mission that is near and dear to our hearts.\n\n![uploaded image](/media/?type=post&id=65039&key=user_uploads/1010390/8bc31829-f3dc-4348-8582-2f85da5d3501)\n\n**What’s the problem?**\n\n**Becoming a professional athlete is expensive and risky.** Professional tennis players spend more than $100,000 annually to finance tournament fees, travel, accommodation, coaching, etc, which is prohibitive for most mere mortals. As a result, only those privileged enough to sustain this deficit can really make it in the sport. This is a real problem for those with underprivileged backgrounds, but don’t just take our word for it, take Hollywood’s. [The Blind Side](https://www.imdb.com/title/tt0878804/) (true story) and [Hustle](https://www.imdb.com/title/tt8009428/) capture this essence in their storylines.\n\n**How do we solve this? We bring supporters to the rescue**\n\nBack your favourite up-and-coming athlete by investing in their career! When they make it big, you’ll have secured the ultimate bragging rights, and you’ll make a nice return on your investment in the form of a cut (think \\~5-10%) on their future earnings.\n\nAthletes get the money they need to continue their professional career. Backers get to meaningfully support their favourites and a significant financial stake in their success. Win win.\n\n**Some concrete use cases we’ve come across**\n\n1. Individual sports (Tennis, Golf and Motorsports) - capital may act as a catalyst, by providing the opportunity to fund competition participation and better coaching.\n2. Team sports (Basketball and Football) - capital may act as an insurance policy. A college athlete can capitalise on the potential of a future large contracts in the NBA or NFL.\n3. In most sports, there are one-off career changing events - think of preparation for the NFL Draft Combine, or making a run for the Olympics. Capital may act as a bridge in order for the athlete to reach peak level at the time of the event.\n\n**Want to contribute**\n\n1. Sign up to our backers [waitlist](https://moonshot.li/). We’re launching in September and spots are limited (250).\n2. Know athletes who could benefit from Moonshot? Refer them to [info@moonshot.li](mailto:info@moonshot.li) and get a talent referral bonus if they sign up!\n3. Know backers who’d passionately love to invest in a sport? Refer them to [info@moonshot.li](mailto:info@moonshot.li) and get a backer referral bonus.\n4. Follow us on [LinkedIn](https://www.linkedin.com/company/86677997), [Instagram](https://www.instagram.com/moonshotli/) and [Twitter](https://twitter.com/moonshot_li)!\n\n**quick blurb to copy & paste**: Check out this YC company that is building a platform that allows you to support your favourite up and coming athlete by investing in their career. [This](http://www.moonshot.li/) is their website - contact [founders@moonshot.li](mailto:founders@moonshot.li) for more.",
        "url": "https://www.ycombinator.com/launches/Gv1-moonshot-angel-investing-in-athletes",
        "votes": 107,
        "created_at": "2022-08-01T14:25:50.808Z"
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    "name": "Clearline",
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    "website": "https://useclearline.com",
    "all_locations": "Kitchener, ON, Canada",
    "long_description": "Clearline is the AI operating system that captures, routes, and converts every revenue opportunity across your dealership without adding headcount.",
    "one_liner": "AI for modern automotive dealerships",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1655587130,
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    "country": "CA",
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      "name": "Gustaf Alstromer",
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        "user_id": 942902,
        "full_name": "Adi Patel",
        "title": "Founder",
        "founder_bio": "CEO @ Clearline",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pateladi/",
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      {
        "user_id": 970753,
        "full_name": "Abhi Patel",
        "title": "Founder",
        "founder_bio": "Making something people want",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhishek-patel27/",
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    "news": [
      {
        "title": "Led by former Ada employees, Lancey secures $2 million to let B2B software buyers “try before you buy” | BetaKit",
        "url": "https://betakit.com/led-by-former-ada-employees-lancey-secures-2-million-to-let-b2b-software-buyers-try-before-you-buy/",
        "date": "Dec 05, 2022"
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      {
        "id": 99746,
        "title": "Clearline | AI native revenue engine for automotive",
        "tagline": "Clearline deploys AI agents that answers every inbound call, follows up on every lead, and tracks every customer interaction for car dealerships, 24/7.",
        "body": "Hey everyone! We're Adi and Abhi, the founders of Clearline.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/e3dbee2c-c4a0-4485-ad87-4509317bb2c9)\n\n### The Problem\n\nCustomer experience at car dealerships is broken. Not because the teams don't care, but because the systems were never built for how customers actually behave today.\n\nHere's the reality:\n\n* **23% of dealership calls go unanswered.** 85% of those callers never call back. That's revenue walking out the door every single day.\n* **Most lead follow-up dies by day 5.** Dealerships spend thousands driving traffic and generating leads, then let them rot in a CRM nobody checks.\n* **Sales uses one system. Service uses another. Nobody has the full picture.** Reps waste time on manual logging, managers guess at what's happening, and customers repeat themselves every time they call.\n\nDealerships have tried to solve this with more tools, more staff, more process. It doesn't work. The stack is fragmented and nothing talks to each other.\n\n### The Solution\n\nClearline is an AI-native operating system for dealerships. Three products, one platform:\n\n**Inbound** - AI answers every sales and service call instantly. No voicemail, no hold music, no transfers. It qualifies intent, routes to the right department, and books appointments in real-time. 24/7, including nights and weekends.\n\n**Outbound** - Automated follow-up via calls, texts, and email. Clearline responds to new inquiries within seconds and runs disciplined cadences from day 1 through day 90. No lead gets forgotten.\n\n**CRM** - One unified record across sales, service, and BDC. Full call transcripts, automatic logging, next steps triggered without anyone typing a note. Managers get complete visibility with real data.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/dd50c407-f1a1-4910-b1c3-7124bd3e294b)\n\n### Results\n\nDealerships see this in their first 30 days:\n\n* **$60K+ revenue recovered** from missed calls and dead leads\n* **240% more leads engaged**\n* **4+ tools consolidated** into one platform\n\n> _\"Recovered $78K in service and sales revenue from 400 missed calls per month._\n\n> _\"Show rate on outbound appointments went from 38% to 64% in the first month._\n\n### You're Always in Control\n\nThis isn't about replacing dealership staff. Clearline augments your team:\n\n* AI escalates to a human anytime a situation needs real judgment\n* It only operates within rules you define (hours, routing, boundaries)\n* It only uses dealership-approved responses for pricing and policies\n* Every call, message, and booking is logged and reviewable\n\n### Try Clearline\n\nIf you run a dealership or know someone who does, we'd love to chat.\n\n[Book a demo](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\nReach us directly at [founders@useclearline.com](mailto:founders@useclearline.com) or check us out at [Clearline](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)",
        "url": "https://www.ycombinator.com/launches/Pwo-clearline-ai-native-revenue-engine-for-automotive",
        "votes": 6,
        "created_at": "2026-04-14T21:10:47.506Z"
      },
      {
        "id": 95485,
        "title": "Lancey - connect your customer signals to your codebase",
        "tagline": "Every AI coding tool writes code. Lancey helps you decide what to buid.",
        "body": "### **TL;DR**\n\nMost teams know what their customers want. It’s buried in Slack threads, support tickets, and calls. But turning that into shipped code still takes months.\n\nLancey is the first autonomous coding agent that builds what your customers want.\\\nIt listens to your customer channels, understands your codebase, and ships ready-to-merge PRs, all in the background.\n\nhttps://youtu.be/1g76HQkrdyQ\n\n---\n\n### **The Problem**\n\nCustomer feedback already tells you exactly what to fix or build. The issue isn’t knowing _what_ to do, it’s the manual steps between understanding and shipping.\n\nSupport tickets, Slack threads, and bug reports pile up. Engineers spend hours triaging. Product teams chase context. PMs and devs are stuck in loops instead of shipping.\n\nEven AI coding assistants today still need you to _prompt_ them, _explain the bug_, and _review every output_. It’s still work, just faster typing.\n\n---\n\n### **Why Lancey Exists**\n\nWe built Lancey because we think software should respond directly to its customers. Without human bottlenecks.\n\nLancey continuously scans your customer channels and codebase to spot high-impact bugs or requests. When it’s confident, it drafts and submits a PR. When it’s unsure, it asks for review.\n\nNo tickets, no triage, no context handoffs. Just a system that quietly keeps your product aligned with your users.\n\n---\n\n### **How It Works**\n\n* **Understands your customer context** - Connect Slack, Zendesk, Intercom, and more.\n* **Understands your code** - Builds a deep map of your repositories and dependencies.\n* **Builds autonomously** - Drafts fixes, features, and improvements as ready-to-merge PRs.\n* **Collaborates by default** - Keeps engineers and PMs in the loop so nothing feels like a black box.\n\n---\n\n### **Who It’s For**\n\nEngineering and product teams who want to spend less time triaging and more time shipping what actually matters to customers.\n\n---\n\n### **Why Now**\n\nWe’ve reached a point where LLMs can not only reason over customer data, they can write safe, context-aware code. The missing piece is connecting these two worlds.\n\nLancey makes **customer-driven engineering autonomous**.\n\n# **How you can get access**\n\n* Sign up for a free account [here](https://lancey.ai)",
        "url": "https://www.ycombinator.com/launches/Oq5-lancey-connect-your-customer-signals-to-your-codebase",
        "votes": 10,
        "created_at": "2025-11-13T16:04:17.494Z"
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    "id": 27175,
    "name": "Express Building",
    "slug": "express-building",
    "former_names": [
      "Uwi Homes",
      "Uwi",
      "uwi"
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    "website": "https://www.expressbuilding.ph",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "Express Building (EB) helps small and medium sized residential developers scale their pre-sold affordable housing development pipeline. \r\n\r\nCurrent markets: Indonesia & Philippines",
    "one_liner": "Financing Southeast Asia's ~$1 trillion housing backlog",
    "team_size": 14,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1656597546,
    "tags": [
      "Fintech",
      "Real Estate",
      "B2B",
      "Proptech",
      "Lending"
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    "isHiring": false,
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        "full_name": "Joseph Tan",
        "title": "Founder",
        "founder_bio": "Former real estate executive who has invested & developed $3B+ in commercial and residential real estate in North America. Scaled a Canadian self storage platform to a $310MM exit.\n\n",
        "is_active": true,
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        "user_id": 1079121,
        "full_name": "Emmanuel Rex Rodriguez",
        "title": "Founder",
        "founder_bio": "A highly experienced hands on developer who is always on the forefront of change.  Has handled million dollar infrastructure budgets as well as hands programming on applications serving tens of thousands of concurrent users.  ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rexrodriguez/",
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    "id": 27177,
    "name": "MovingLake",
    "slug": "movinglake",
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    "website": "https://movinglake.com",
    "all_locations": "Mexico City, CDMX, Mexico; Remote",
    "long_description": "MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.",
    "one_liner": "Realtime Data Connectors",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1657821965,
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      "Analytics",
      "API",
      "Data Engineering"
    ],
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    "year_founded": 2022,
    "city": "Mexico City",
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    "linkedin_url": "https://www.linkedin.com/company/movinglake",
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      "name": "Nicolas Dessaigne",
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      {
        "user_id": 200174,
        "full_name": "Andres Paez",
        "title": "Founder",
        "founder_bio": "Worked as a Software Engineer and Product Manager at Amazon Prime, Google Search and Google Cloud Platform for about 7 years. Have worked as the CTO of Casai and Valoreo for the last 3 years starting technology teams from scratch leading software engineers, hardware engineers, software managers, data engineers, data scientists, IT professionals, DevOps engineers, product managers and product designers.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrespaezmartinez/",
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      {
        "user_id": 1104191,
        "full_name": "Edgar Cabrera",
        "title": "Founder",
        "founder_bio": "About ten years of Sofware Engineer Experience at startups of several stages. I have worked in developing products from scratch until they become scalable, robust systems. I love the feeling of my work bringing value to others.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edgarcabrera-dev/",
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    "launches": [
      {
        "id": 71150,
        "title": "MovingLake - Vertical-first, realtime, AI-enabled data platform",
        "tagline": "LLM-enabled data connectors, transformations and visualizations for e-commerce, hospitality and more",
        "body": "Hi!\\\n**We are now launching our LLM-enabled BI tool which allows all of our clients to query their databases by using prompts in plain english.**\n\n![uploaded image](/media/?type=post&id=71150&key=user_uploads/200174/8c06ceeb-4d8f-48ac-a152-3535bfb76eb6)\n\nHappy to announce that MovingLake user’s can not only get their data centralized in their data warehouse, but we are now enabling an end-to-end business intelligence experience where in a matter of minutes you can get the data flowing AND get the dashboards going.\n\nThis is important because not all of our clients are friendly with SQL or with BI tools. Letting them access their data in a secure way and using plain english questions is a game changer for them.\n\n**Ask**\n\nWe are looking to integrate to other data connector tools and companies as well as other data products to be able to give the most value faster to our clients. Please reach out if this would be interesting to your company.\\\n\\\nWe are available at [andres@movinglake.com](mailto:andres@movinglake.com) and [edgar@movinglake.com](mailto:edgar@movinglake.com) ",
        "url": "https://www.ycombinator.com/launches/IVa-movinglake-vertical-first-realtime-ai-enabled-data-platform",
        "votes": 17,
        "created_at": "2023-04-24T19:26:45.556Z"
      },
      {
        "id": 64655,
        "title": "MovingLake: Realtime, event-driven data connectors",
        "tagline": "Proprietary data connectors which feed both data and transactional systems",
        "body": "Hey YC!\n\n[Edgar Cabrera](https://www.linkedin.com/in/edgarcabrera-dev/) and [I](https://www.linkedin.com/in/andrespaezmartinez/) are excited to launch [Moving Lake](https://movinglake.com/) today.\n\n**TLDR: MovingLake aims to do ETLs for event-driven architectures. Power your data warehouse as well as your microservices using the same API connectors.**\n\n### ⚠️ **What’s the Problem?**\n\nAfter talking to dozens of data engineers as well as technology stakeholders, and from our past experience, we uncovered a set of intertwined problems with current data connectors:\n\n1. A data connector does not provide data to transactional systems. This can lead to duplication of integration work plus lack of reliability between different sources of data. For machine learning this can be real trouble\n2. API integrations done in house are flaky and require a lot of investment in development and maintenance\n3. Event-driven architectures are reimplementing over and over again the same pieces of infrastructure such as schedulers, pollers and webhook receivers\n4. Batch extractors can skip states and so end up with missing data. For example if I have a booking business and a reservation gets cancelled 10 minutes after created, the batch pipeline will only see the cancelled state but not the created state.\n5. Running automations and other workflows is impossible with batch data connectors.\n\n### 👍 **What’s the solution?**\n\n**Realtime, event-driven, deduplicated, replayable, ELT friendly and SDK ready connectors which feed both data and transactional systems at the same time.**\\\nWe are rolling out connector for APIs which give you the ability to add any number of destinations including data and backend systems. We provide on top of that transformations for the data side so that you get the data in nicely formatted tables. Plus we also aim to provide easy to use SDKs so that consuming MovingLake’s webhooks is as easy and fast as possible.\\\n\\\n❓ **What’s the ask?**\n\nDo you have recurring issues with data reliability? Do you end up writing batch scripts to recover lost data from webhooks? Do you struggle with running your machine learning models from batch pipeline’s data? Reach out to [founders@movinglake.com](mailto:founders@movinglake.com) or contact us through our [website](https://movinglake.com/contact-us).\\\n\\\nThanks!",
        "url": "https://www.ycombinator.com/launches/Gop-movinglake-realtime-event-driven-data-connectors",
        "votes": 166,
        "created_at": "2022-07-15T16:27:46.974Z"
      }
    ]
  },
  {
    "id": 27178,
    "name": "Pump.co",
    "slug": "pump-co",
    "former_names": [
      "Pump"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e52daa194550c954ede0338084d6994d0aeefde.png",
    "website": "https://www.pump.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pump saves up to 60% off AWS for early stage startups, and for free (yes, that's right). Using group buying and AI, Pump automates cost savings that require no engineering effort. #GetPumped ",
    "one_liner": "The Costco for cloud is here 🔥🔥",
    "team_size": 75,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1681178261,
    "tags": [
      "FinOps",
      "Fintech",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pump-co",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/pump-co.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pumpbilling/",
    "x_url": "https://twitter.com/pumpdotco",
    "fb_url": "https://www.facebook.com/pumpbilling",
    "cb_url": "https://www.crunchbase.com/organization/pump-b398",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e52daa194550c954ede0338084d6994d0aeefde.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/68e6586a1593ff9aae0f0f07cacf0e9478a55a4f.png"
    ],
    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1048566,
        "full_name": "Spandana Nakka",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Pump.co - Building the Costco of cloud.\nPreviously built a fintech startup, Sleek that was acquired by Snackpass in 2021.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/spndn07/",
        "x_url": "https://www.twitter.com/spndn07/",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1074d2d92904d25efb73aff3b33314672f39060f.jpg"
      }
    ],
    "jobs": [
      {
        "id": 60455,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/r0JLcxL-senior-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Kubernetes",
          "Node.js",
          "PostgreSQL",
          "Python",
          "React",
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      },
      {
        "id": 65127,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/UuqyQg7-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$290K - $430K",
        "equity_range": "0.01% - 0.10%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69101,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/KHgx10l-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $80K",
        "equity_range": "0.01% - 0.05%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 69858,
        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/qPjM5lP-frontend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "$100K - $160K",
        "equity_range": "0.05% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Kubernetes",
          "Node.js",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript",
          "Redshift"
        ]
      },
      {
        "id": 70932,
        "title": "Solutions Architect",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/sVIZja5-solutions-architect",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $150K",
        "equity_range": "0.10% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Kubernetes",
          "Node.js",
          "PostgreSQL",
          "Python",
          "React",
          "TypeScript",
          "Redshift"
        ]
      },
      {
        "id": 77044,
        "title": "Senior Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/uVGN9qX-senior-frontend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77323,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/Ny4eT9d-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python"
        ]
      },
      {
        "id": 80181,
        "title": "Channel Partnerships Manager—GCP",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/wukMaym-channel-partnerships-manager-gcp",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $160K",
        "equity_range": "0.05% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Google Cloud"
        ]
      },
      {
        "id": 80182,
        "title": "Channel Partnerships Manager- AWS",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/BHk6it8-channel-partnerships-manager-aws",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$110K - $160K",
        "equity_range": "0.05% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)"
        ]
      },
      {
        "id": 97372,
        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/saieOA4-devops-engineer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Kubernetes",
          "PostgreSQL",
          "Python",
          "Terraform"
        ]
      },
      {
        "id": 103203,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/u4TAJkO-brand-designer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103205,
        "title": "Engineering Manager",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/lllpVvx-engineering-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103206,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/Q6Lg05D-brand-designer",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103207,
        "title": "In-House Counsel",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/HMuXu3v-in-house-counsel",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103208,
        "title": "Engineering Manager",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/GU634nt-engineering-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 103210,
        "title": "In-House Counsel",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/tINhe6s-in-house-counsel",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107334,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/HZde7q3-customer-success-manager",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107335,
        "title": "Partnerships Lead",
        "url": "https://www.ycombinator.com/companies/pump-co/jobs/25KODLP-partnerships-lead",
        "location": "San Francisco, California, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How Tech Startups Can Crack the Code of Cloud Infrastructure Costs | Inc.com",
        "url": "https://www.inc.com/sean-kim/how-tech-startups-can-crack-code-of-cloud-infrastructure-costs.html",
        "date": "Apr 13, 2024"
      },
      {
        "title": "The 18 most interesting startups from YC's Demo Day show we're in an AI bubble | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/",
        "date": "Apr 03, 2024"
      },
      {
        "title": "Pump: cutting cloud service expenses like no other platform can",
        "url": "https://www.digitaljournal.com/business/pump-cutting-cloud-service-expenses-like-no-other-platform-can",
        "date": "Nov 23, 2023"
      },
      {
        "title": "How Pump is redefining cloud cost savings | VentureBeat",
        "url": "https://venturebeat.com/business/how-pump-is-redefining-cloud-cost-savings/",
        "date": "Nov 20, 2023"
      },
      {
        "title": "Group Buying Brings Relief to Ever Rising Cloud Costs | Entrepreneur",
        "url": "https://www.entrepreneur.com/en-in/technology/group-buying-brings-relief-to-ever-rising-cloud-costs/464578",
        "date": "Oct 31, 2023"
      }
    ],
    "launches": [
      {
        "id": 75947,
        "title": "Pump India - Save 60% on AWS for free, now live in India 🇮🇳💚",
        "tagline": "With group buying and AI, startups can save like the big tech",
        "body": "**TL;DR -**\n\n[**Forbes called us ‘Costco of Cloud compute’ recently**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/). With group buying and AI, Pump can save you up to 60% on your AWS compute spend without any engineering effort or financial risk. We signed up over 250+ customers in the last 6 months, including over 50+ YC companies.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=75947&key=user_uploads/1048566/a5968ddd-cd3b-4eb2-8a64-79f8ab7dea8f)\n\n**How does Pump work?**\n\nAWS incentivizes long term commitments, 1 year to 3 year with high discounts. Not only does this require careful planning & thorough future forecasting, but small startups are often not able to commit for such long periods. That’s where Pump comes in, we bring companies together under one umbrella - as long as there’s other companies within the same region and using the same instance as you, Pump rotates these commitments across Company A to B and so on; thus shrinking a 3 year commitment to just about a month; maximum savings and minimal risk 😀\n\n![](https://assets-global.website-files.com/634b9f9236d9ffdc11dc0eb6/65041ea8580984bf8c7e4065_pump-schema.webp)\n\n**What’s new with this launch?**\n\nPreviously, we could work with companies around the world with the exception of India (irony much?). For legal and tax reasons, AWS has set up a completely different entity for the country and to work with Indian customers, we ourselves had to setup a subsidiary in India. Our second highest traffic & signups always came from India since our launch in April, and given this strong pull we decided to go down this path even as a young company.\n\nWe are beyond PUMPED to go live in India and save Indian customers up to 60% on AWS costs!\n\n**Why this launch is important?**\n\nWhile adapting our product for India wasn’t that much work, we went through a grueling 4 months of copious paperwork, legalese and tests of patience.\n\nThere was just so much monumental effort that went in that we essentially had to package this as a launch :’)\n\n**How to get started?**\n\n![uploaded image](/media/?type=post&id=75947&key=user_uploads/1048566/7f11d87f-9555-44a2-bff9-a96ce9679e39)\n\n**🙏 Our ask:**\n\nIf you’re an Indian company (or otherwise too), sign up at [**app.pump.co**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/) and to see your estimated savings.\n\n[**https://youtu.be/5L5SEQaXlNw**](https://www.forbes.com/sites/davidprosser/2023/10/05/how-pump-promises-to-slash-your-runaway-cloud-computing-costs/)",
        "url": "https://www.ycombinator.com/launches/Jkx-pump-india-save-60-on-aws-for-free-now-live-in-india",
        "votes": 6,
        "created_at": "2023-11-02T14:55:14.978Z"
      },
      {
        "id": 71529,
        "title": "Pump: The fastest way to save 60% on AWS",
        "tagline": "Use AI to optimize your cloud savings on autopilot. Meet Pump, FinOps fully automated with AI.",
        "body": "[Pump](https://bit.ly/3ZeSLWM) is the FASTEST to save up to 60% on your AWS bills with zero engineering effort and financial risk.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/9e12619b-721e-4678-99f3-a8a18080e2ed)\n\n**🤖 How Pump saves so much:**\n\nPump’s AI to continuously optimizes AWS discount commitments, our customers get the best price without needing to constantly monitor and adjust their AWS usage. Our optimization algorithms identify which hourly commitments are most cost-effective for your specific usage patterns, so you never pay for more than you need. Additionally, we offer a group volume tier discount, similar to Groupon, based on combined usage across all our customers.\n\nList of all the AWS services we support is [here](https://help.pump.co/overview/list-of-aws-discounts). We are the **_ONLY_** company that has this breadth on market.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/18daa710-01d2-4183-b9b7-d6a5d5a6664f)\n\n**😎 Our Happy Customers:**\n\nSince we launched last month on Product Hunt as #1 of the day, we have had signups reaching up to over 100+ customers, saving them hundreds of thousands of dollars. Check out what they have to [say!](https://www.pump.co/#love)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/1cd2bdd1-d070-448b-88ba-6676f8a83804)\n\n**⚙️ How to get started:**\n\nJust 3 clicks to start saving and a fully self serve experience that doesn’t force you to talk to a human (unless you want to?)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/59c0d8ae-7374-44cc-8c5a-311c7a0f828d)\n\n**😎 Why we are a _no-brainer_:**\n\nPump monetizes through a small percentage from the volume discounts of the collective large spend achieved. 100% of our revenue comes from AWS. We believe saving costs should not be a cost in itself for our customers.\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/9f098122-6f23-49a5-ba23-4cb3b31abd13)\n\n**🙏 Our ask:**\n\nSign up today at [www.pump.co](http://www.pump.co) to see your estimated savings even if you are already cost optimized, no obligation to use us if you don’t like that additional savings $ that Pump can save you! - if you have any questions please contact me at [sn@pump.co](mailto:sn@pump.co) :)\n\n![uploaded image](/media/?type=post&id=71529&key=user_uploads/1048566/fcf2b0e9-c942-4b1a-85e5-8e42a485bb00)\n\n",
        "url": "https://www.ycombinator.com/launches/Ibh-pump-the-fastest-way-to-save-60-on-aws",
        "votes": 158,
        "created_at": "2023-05-11T21:43:35.399Z"
      }
    ]
  },
  {
    "id": 27185,
    "name": "Knowtex",
    "slug": "knowtex",
    "former_names": [
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        "title": "Knowtex: Transparent, Explainable AI for Smarter Healthcare",
        "tagline": "Model Evaluation Platform for AI transparency, traceability, and reliability in clinical workflows.",
        "body": "[Knowtex](http://www.knowtex.ai/) is a voice AI platform built to empower healthcare organizations, turning real-time doctor-patient conversations into accurate clinical notes, ICD-10 and E&M codes tailored by medical specialty, including an admin dashboard for operations to save hours on admin work and billing.\n\n**Bringing Visibility to AI in Medicine**\n\nAI has the power to transform healthcare, but [black box decision-making](https://www.ama-assn.org/practice-management/digital/succeed-health-care-ai-get-rid-black-box) has no place in patient care. Knowtex is changing the game by making AI measurable and explainable, ensuring clinicians and healthcare systems can understand and trust every AI-driven recommendation.\n\n**What This Means for Healthcare Teams**\n\nWith the Model Evaluation Platform, Knowtex can now:\n\n* Evaluate AI performance in real-world clinical workflows for accuracy and reliability\n* Enhance traceability by surfacing insights into model predictions and decisions\n* Strengthen accountability with structured benchmarking and continuous monitoring\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWhj4wXNN6O4XKxH85tksdXx469QoqDrlorbk5r4Z_uuiwI_hTMzeAX4a4yfyikYpLGKwm4gel84baxTcEa6kILyK4y_nxq7MMnOFMmvAr7FmocYgGxsTPRuATxto9XWZU8fwnyg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n**Trust, But Verify**\n\nInnovation in AI isn’t about chasing what’s new—it’s about measurable progress. Knowtex doesn’t just release updates; we test them against real-world clinical benchmarks to ensure every iteration is an improvement. Our benchmarking gauntlet allows us to pit the latest-and-greatest against our tried-and-true models, ensuring that Knowtex isn’t just keeping up—we’re leading the charge in rapid iteration and continuous improvement.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXetEQTUDcqPf954aHWHsmolvU5-QBqtMAEvsuA4RTcKUTNuaJ1M6-HPANSPkJuQR3d1PNvWqAVobaz0DLVgy--L3Qr7tgWx6EUT8Htdvlal64jbWI7LB-4ioma4clTtiQzdITqO9g?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXesQhl_ORLRLMQn1ZAzQKnmHVyziix2px5YivuMSAO74X8TJ61Nh537JeDS8om07m4mGoIdVoIdpyF5fR8yN8km71y19eY-SFN2Z3Oaq21ARKZ0hWHnAZOcMRkQJie9fZGlBbr0Qg?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXek2LkdtRHW22jTpy-JAtYsJeW-ZKkNhrayHjn4EqHnfKOJQww_o46SrsRLbNilTYPyz60OmZd8XLz4byR-8i0KdOMBHimNH5EoPuYEg_AxlNFWOFyy1jSM28t2pMkKC8IlTHwvVw?key=S8aaCf-5dF0d1mRQ7mAPtwJR)\n\nKnowtex’s benchmarks are built on insights from providers across multiple disciplines and focus on areas that matter most to them, such as:\n\n* **Style** – How well does the AI-generated note match the clinician’s voice? Over time, the model learns and adapts to improve precision.\n* **Note Length** – Does the AI capture the necessary details while avoiding unnecessary verbosity?\n* **Summarization Faithfulness** – How accurately does the summarized note convey the entirety of the clinical encounter?\n* **Structure** – Does the AI-generated note align with the expected template and clinical formatting?\n\nAt Knowtex, **AI isn’t just a tool—it’s a trusted partner in patient care.** Accuracy, clarity, and alignment with clinician needs are non-negotiable.\\\n\\\nThank you to Muhammad Khalifa and Nicholas Talbot for leading this project.\n\nStay tuned as we continue pushing the boundaries of explainable AI in healthcare!\n\nSimply head to [app-knowtex.com](http://app-knowtex.com) to create your account, and you’ll have full access to our voice AI documentation and coding solution supported by this Model Evaluation Platform. We’d love to hear your feedback, feature requests, and any suggestions you have at [demo@knowtex.ai.](mailto:demo@knowtex.ai)\n\nGet Started for Free → [app-knowtex.com](http://app-knowtex.com)",
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        "created_at": "2025-04-01T15:54:35.840Z"
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        "title": "Knowtex: Ambient Billing for Clinicians 🗣️💸",
        "tagline": "Personalized intelligent ambient documentation and billing solution for clinicians.",
        "body": "**Introducing Ambient Billing at Knowtex**\n\nAt Knowtex, we’re excited to launch a new way to capture every billing opportunity with zero added effort. Knowtex is built to empower healthcare clinics and systems, turning real-time doctor-patient conversations into accurate ICD-10, CPT, and HCC codes. Our ambient, AI-driven billing solution helps clinicians avoid leaving revenue on the table—all while keeping them focused on patient care, not paperwork.\n\nMedical coding is complex, and the rules and codes are constantly changing. Missed or inaccurate coding can dramatically impact a health system’s bottom line. That’s where Knowtex comes in. **Knowtex is a clinician’s partner in revenue:** capturing the full range of codes a visit is eligible for and keeping your documentation up-to-date with the latest standards. The result is an optimized, accurate billing workflow that catches every code, every time.\n\n**Unlike other solutions that simply analyze documentation to generate codes, we’ve spent the last two years developing Knowtex into a deeply integrated, personalized coding model based on the visit conversation that is tailored to clinicians and organizations. We create custom models trained on each clinic’s historic coding data so Knowtex tailors its suggestions to the unique needs of every clinician. This level of personalization allows Knowtex not only to generate accurate codes but also to prescriptively suggest coding updates that are finely tuned to the specific workflows and nuances of the practice.** \n\nKnowtex is a truly adaptive partner in coding at the point of care. It captures information correctly upfront and continuously improves and aligns with each clinic’s standards for maximized revenue and streamlined workflows.\n\n## Customer Results\n\nOne health system integrated Knowtex and observed significant improvement in revenue retention. With Knowtex identifying and correcting undercoded visits, they successfully capture approximately **$92,800 per month** in previously lost revenue.\n\nOne of our oncology practices with 50+ providers saw substantial improvement in billing outcomes with Knowtex. Before implementing Knowtex, their daily billing average was $7,101.60. Following integration, the mean daily billing rose to $7,893.70, an increase of almost **$800/provider/day**.\n\n## Features\n\n**🩺 Streamlined intelligent Code Selection**\n\nOur interface is designed for simplicity and speed and makes it easy for clinicians to confirm suggested codes instantly. As a clinician speaks with a patient, Knowtex listens, prompting relevant codes based on the conversation. For E&M codes, it analyzes encounter elements like time, medical decision-making complexity, risk, and data, guiding clinicians to the correct documentation with zero interruptions.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcd1urRt3iovIjG_hdQrkbwJ0U0xMAQcrWNBMJvXj06EkCgVa7VeHot38yjpzGpMDDBPR0lRG_9jLd5bd2tIp2dB-GRbjIs8t723zatJ3OfZ3R8oPR2QKz7NPr7Jh59qYpFC11K?key=PrSNha-uknkZVns6FaLUE8yc)\n\nIn addition to live prompting, Knowtex provides targeted suggestions to help clinicians optimize coding accuracy. When assessing complexity, risk, or data documentation, Knowtex offers text snippets to update E&M codes based on the conversation info and historic data. These snippets guide providers by suggesting personalized updates that increase documentation complexity where applicable.\n\nFor example, with MDM:\n\n\\- Complexity: Knowtex can prompt providers to consider documenting any updates on the patient’s status under treatment with a pre-created snippet like “Patient is improving on current chemotherapy treatment but not yet at goal.”\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcB9XivMlmiJrkMbi5KzqYfO-Lpw7SwG7zRg_xyeF8bzfkchHb1PmC2GLx7I3smiTrzp-jAdSVUO-AG9c4haq4U_iKAHBESxngh4YyXel7RnFHHk_l9k-_ACkd-i8RpvCIvjJqOow?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Risk: Knowtex may suggest inserting the text snippet, “reviewed liver function tests and discussed present chemotherapy effects with the patient,” to increase the documented level of decision-making complexity.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeXpD_K-hlG10Z0vGGn19NSs-AZsiDcePhUU0X70VZm0z8pwM2J7BovTaTPqum80I2l549WFgkPMTw8SO4z0XoogcljVNKSkbWNaXxA7VqsUfwin2gDF0jvxM-N0BkZB9JRLqalHw?key=PrSNha-uknkZVns6FaLUE8yc)\n\n\\- Data: If the clinician reviewed imaging during the conversation, Knowtex will identify this and suggest a clearer way of documenting it: “CT images were **personally reviewed and interpreted**.”\n\nThese real-time, customized tips help clinicians capture all relevant information to substantiate the appropriate billing codes.\\\n\\\n**🔍 Accurate & Personalized Diagnosis Capture and Search**\n\nImagine a clinician is treating anemia. Most physicians would code the patient with D50.9 (Iron deficiency anemia, unspecified). While this can be accepted by insurance and reimbursed, there can be more precise codes that would be a better choice based on the patient’s symptomatology and history. \n\nKnowtex can capture and synthesize conversation and EHR data in real time as the clinician talks through symptoms and treatment with the patient to suggest precise ICD-10 codes like D63.1 (Anemia in chronic kidney disease). \n\nWe also provide intelligent search functionality for clinicians that surfaces the best and most detailed ICD-10 code based on the conversation detail and EHR information.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdYFAYWrvmJgndLiffAJCyQFPnu7fMM796mKPIZQKlQWSrlLdAD3Xoco727I2aEvOA82tfjAHm8-NwP-QKH9Ja9DjI0BSTH6xGxJCd6IoFsCnt-BzBsxaEfwAbxkEgFjEHBhhKn?key=PrSNha-uknkZVns6FaLUE8yc)\n\nKnowtex makes sure every detail is captured without breaking focus for clinicians, especially in complex specialties like hematology and oncology. It’s a seamless experience that helps practices keep up with fast-evolving coding standards and prevent revenue leakage.\n\n**📊 Complimentary Financial Gap Analysis**\n\n**We’re offering a free financial gap analysis to the first 10 new clinicians/organizations that sign up.** Knowtex will deeply analyze your last 3 months of billing data and pinpoint specific opportunities where Knowtex can capture missed revenue through optimized documentation and code selection. \n\nUsers will also get **free** **full** access to our state of the art, customizable, ambient scribing solution for those three months. \n\nContact [sales@knowtex.ai](mailto:sales@knowtex.ai) to learn more.\n\nThank you to our engineers Muhammad Khalifa, Andrea Green, and Azeem Ghumman for their work pioneering ambient billing at Knowtex.",
        "url": "https://www.ycombinator.com/launches/MFY-knowtex-ambient-billing-for-clinicians",
        "votes": 40,
        "created_at": "2024-11-13T16:48:55.533Z"
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      {
        "id": 65893,
        "title": "Knowtex: Creating Visit Notes from Doctor-Patient Conversations",
        "tagline": "Making doctors 2x more efficient with automating note-taking & charge capture",
        "body": "👋 We’re [Jocelyn](https://www.linkedin.com/in/jocelynkang/) and [Caroline](https://www.linkedin.com/in/czhang21/), the co-founders of [Knowtex](https://www.knowtex.ai/)!\n\n**tldr;** Knowtex automatically creates visit notes with billing codes from doctor-patient conversations. We built our ML solution in under two months and are working with healthcare organizations to save doctors time and prevent revenue leakage from improper documentation and coding. Our ask is for help connecting with private clinics (with 8+ doctors) in any specialty, digital healthcare companies with providers, and PE firms with medical roll-ups.\n\n### **The Problem:**\n\nDoctors are spending more time on taking notes than seeing patients, and aren’t taught how to code their notes optimally for proper reimbursement. This leads to physician burnout and revenue leakage for healthcare organizations (up to $125 billion a year in the US).\n\n### **Our Solution:**\n\nKnowtex creates visit notes with the proper codes for reimbursement automatically from doctor-patient conversation.\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/cbde38bb-69a5-49a9-b723-fc0b8bf65864)\n\n(The automatically generated note output from a conversation Caroline had in real-time with a cardiologist!)\n\n**Wait, doctors code?**\n\nWe’re not talking about software coding, but medical coding, which means assigning the right diagnostic (ICD-10) and procedural codes (CPT) to a note to allow a claim to be created and submitted to insurers for appropriate payment. Correct coding is also critical for demographic assessments and studies of disease prevalence, treatment outcomes and accountability-based reimbursement systems.\n\nWith Knowtex, we can cut the time doctors currently spend on admin work in half, and allow them to focus on what they love: patient care.\n\n### **Our Team**\n\nWe met day one of Stanford freshmen year. Caroline received her master's degree in Computer Science concentrating in AI and an undergraduate degree in Economics (in just 4 years!). Jocelyn received an interdisciplinary degree in CS specializing in Linguistics and has worked at startups in a variety of positions including leading AI/ML teams.\n\nAfter graduating during the COVID-19 pandemic, we wanted to apply our technical skills to build solutions for our healthcare system. We heard about the problem of physician burnout from medical documentation, and **became medical scribes ourselves to experience it firsthand. We’re the only medical scribes in the world with AI/ML backgrounds,** making us uniquely positioned to build this solution for doctors.\n\n### **Our Ask**\n\nWe’re looking to partner with\n\n* private clinics that have 8+ doctors in any specialty\n* digital health companies that offer healthcare provider services (ex. hybrid and virtual care, telemedicine platforms)\n* private equity companies with medical roll-ups\n\nHere’s a quick blurb you can send them about us:\n\n_Knowtex reduces physician documentation burden and increases coding efficiency and accuracy by automatically creating visit notes with billing codes from doctor-patient conversations. Our software captures natural conversation, identifies relevant medical information, and generates a pre-filled, structured note with ICD-10 and CPT codes for physician sign-off._\n\n_Founders Caroline and Jocelyn are Stanford CS grads who specialized in AI and previously worked as medical scribes. We're looking to speak to healthcare organizations to understand more about their doctors’ documentation workflows and coding requirements, and explore partnership opportunities with our product. You can reach us at_ [_founders@knowtex.ai_](mailto:founders@knowtex.ai)_._\n\nThank you!\n\n\\- Jocelyn and Caroline\n\n![uploaded image](/media/?type=post&id=65893&key=user_uploads/556751/d7306386-438d-4c47-ba29-4b230bbc3c29)\n\n",
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        "body": "Hi, we’re Vidhi and Pradhith, and we’re super excited to introduce Abridge!\n\n### **What is Abridge?**\n\nAbridge is an intelligent logistics partner for importers/exporters who want to ship freight into or out of India. We digitize the full shipment lifecycle (online freight booking, optimized container load plans, automatically generated compliance documents, and online communication channels). We make the lives of importers and exporters easier by:\n\n1. Providing shippers an online freight booker and record-keeper of all shipments.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/984e8c45-fef1-4709-8f95-c772a576aa67)\n\n2. Saving shippers money (5-15%!) on every container shipped by providing them with optimized container stuffing plans and minimizing wasted space inside the container.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/dc39cc40-f6d6-483e-8b04-8aed92506f0c)\n\n3. Automatically generating all shipping compliance documents, thus saving shippers \\~3-9 emails/shipment in co-ordinating manually generated documents.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/5f7390c7-8d4e-412c-97d0-84ce37cc0fdf)\n\n4. Decluttering shippers’ email, messages, and phone lines by providing a shared online workspace for all shipment related communications with easy and intuitive referencing to each shipment.\n\n   ![uploaded image](/media/?type=post&id=65179&key=user_uploads/466754/394747d5-512e-4bd1-808e-357abfa4f95f)\n\n\n### **Whom is Abridge for?**\n\nIf you import/export anything in India, what has been your biggest challenge when shipping goods? Click [here](https://calendly.com/abridge-vidhi/abridge-can-help-30mins?month=2022-08) to tell us!\n\n### **Can you try Abridge?**\n\nYes, we are currently open for shipments into and out of India! You can sign up [here](https://www.abridge.dev/demo) to digitize your India import/export needs!\n\n### **How did we come to build Abridge?**\n\nMy family has been exporting auto-parts from India to the US, France, and Germany for the last thirty years. Although the main business is manufacturing, managing shipping logistics is an unnecessarily high-touch, highly manual overhead in the business’ day-to-day operations.\\\nAdditionally, Pradhith and I also got to experience the tedious logistics around importing products into India while we developed our previous business — an e-commerce retailer in India. Other companies that were suppliers to our e-commerce retailer also said they faced the same issues!\\\nA lot of these issues have digitization and automation solutions, so it’s unnecessary that every importer/exporter has to manage logistics as a separate, highly-involved project in addition to their actual business. Our goal is to be the digital logistics partner that we wanted to partner with when we were running our previous business.",
        "url": "https://www.ycombinator.com/launches/GxH-abridge-flexport-for-india",
        "votes": 39,
        "created_at": "2022-08-06T20:04:56.744Z"
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        "title": "Global Operations & AI Intern",
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        "location": "Barcelona, CT, ES / Barcelona, Catalonia, ES",
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        "location": "Barcelona, CT, ES / Barcelona, Catalonia, ES / Remote",
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        "id": 81463,
        "title": "Key Account Manager (Spanish Market)",
        "url": "https://www.ycombinator.com/companies/rever/jobs/4KZldf0-key-account-manager-spanish-market",
        "location": "Barcelona, CT, ES / Barcelona, Catalonia, ES",
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        "id": 81584,
        "title": "Junior Software Engineer",
        "url": "https://www.ycombinator.com/companies/rever/jobs/TkoX6t1-junior-software-engineer",
        "location": "Barcelona, CT, ES / Barcelona, Catalonia, ES",
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        "url": "https://www.ycombinator.com/companies/rever/jobs/K8722eq-sdr-french-market",
        "location": "Barcelona, CT, ES / Barcelona, Catalonia, ES",
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        "title": "Founding Account Executive - German speaking",
        "url": "https://www.ycombinator.com/companies/rever/jobs/ejbx3Kj-founding-account-executive-german-speaking",
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        "title": "Y Combinator-backed Rever aims to modernize refunds and returns | TechCrunch",
        "url": "https://techcrunch.com/2023/06/19/y-combinator-backed-rever-aims-to-modernize-refunds-and-returns/",
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        "title": "Y Combinator-backed Rever aims to modernize refunds and returns | TechCrunch",
        "url": "https://techcrunch.com/2023/06/19/y-combinator-backed-rever-aims-to-modernize-refunds-and-returns/",
        "date": "Jun 19, 2023"
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        "url": "https://www.forbes.com/30-under-30/2023/europe/retail-ecommerce?profile=rever",
        "date": "Jan 01, 2023"
      },
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        "title": "Four-month-old Rever revs up e-commerce returns, joins Y Combinator - Tech.eu",
        "url": "https://tech.eu/2022/07/20/four-month-old-rever-revs-up-e-commerce-returns-joins-y-combinator",
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      {
        "id": 64735,
        "title": "REVER: easy returns, faster refunds",
        "tagline": "We make eCommerce returns possible in 2 clicks and refunds in minutes",
        "body": "# **TLDR;**\n\n[REVER](https://www.itsrever.com) is a game-changing shopping experience that makes eCommerce returns possible in 2 clicks and refunds in 24h.\n\nIf you are an eCommerce and want to revolutionise your returns experience find out more at: [www.itsrever.com](http://www.itsrever.com)\n\n![uploaded image](/media/?type=post&id=64735&key=user_uploads/873036/be6533fe-8eb5-41ec-a6b3-5a4bafa6ebd7)\n\n# **What are we solving?**\n\nReturns are the new normal, reaching up to 30% of online sales in western markets, making reverse logistics a $500B/year industry globally. Moreover, margins and growth are at risk for eCommerces if they don't adapt:\n\n* **70% of customers** check the return policy before buying\n* **89% of customers won't buy again** after a bad return experience\n* **10 working days** is the average time it takes to get refunded after an online return\n\n# **Solution**\n\n1. A customizable whitelabel returns portal for eCommerce and retailers of the world, so that their end customers are able to request returns in **2 just clicks**\n2. Once a return request comes in, REVER has a **superfast** refund solution, that makes customers get refunded in less than **1 minute** (vs. 21 days today!)\n3. We are integrated with **+50 logistics carriers** to make the collection process easier and faster too, and centralize the information in a single dashboard (SaaS) that enables eComs to manage their returns more efficiently.\n\n# **Why are we doing this?**\n\nBecause returning should be as easy as buying. REVER is shaping the future of eCommerce bringing frictionless, superfast and sustainable returns to everyone, anytime, anywhere. Our's ambition is to dominate ALL eCommerce post-sale services by creating the world's first global platform for online returns.\n\nMarius, while at Glovo as Global Head of Logistics, was approached by multiple clients (Aliexpress, Apple, Nike, etc.) who wanted a solution for returns management, Glovo was offering them a Last Mile solution, but they also needed a solution for returns.\n\nOriol carried out the reverse logistics strategic plan USA's biggest carrier while at BCG and, working at Bank of America Merrill Lynch, participated a series of multi-billion deals involving the world's biggest fashion marketplaces and detected that returns are a critical part of the operations and financial performance for eCommerce.\n\n# **How to get started?**\n\nWe are offering a 1-month free trial to retailers that want to join the future of eCommerce. If you are struggling with your returns, send us an email at [sales@itsrever.com](mailto:sales@itsrever.com).",
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        "full_name": "Matt Williamson",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO @ Vizzly | Skyscanner & Duffel Alumni",
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        "full_name": "James Bowers",
        "title": "Founder",
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        "id": 65280,
        "title": "Vizzly ⚡️ Customer-Facing Analytics for Modern SaaS",
        "tagline": "Build, embed, share and delight your users with data.",
        "body": "**✨ TL;DR**\\\n[Vizzly](https://www.vizzly.co/) is customer-facing analytics for modern SaaS.\n\nOur primary goal is to help SaaS companies build beautiful customer-facing analytics without compromising the user experience or product quality.\n\nVizzly offers a semantic layer, works with your authentication setup, and provides a powerful visualization layer that's extensible with code for those who want more control.\n\nWith Vizzly, customers can build and deliver anything from simple user-facing insights to advanced custom reporting and everything in between.\n\n**❌ The problem**\n\nOver 75% of B2B SaaS companies have (or will need) customer-facing dashboards or reporting capabilities, but embedded analytics tools are stereotypically rigid and force a lot of compromise.\n\nFor example, many of these tools offer simple iFrame embeds, instantly limiting flexibility, programmability, and impacting performance.\n\nIf SaaS companies do build in-house, they end up committing precious time to building a large product feature that’s often not core to their unique value proposition.\n\nThe maintenance overhead is often overlooked until customers begin asking for new cuts of data or other views, meaning the SaaS company needs to extend the backend API and build new visualizations if they want to satisfy the request.\n\n**💡 How we help**\n\nVizzly provides customer-facing analytics for modern SaaS; offering the same level of flexibility as an in-house development process with minimal technical overhead required.\n\nKey product areas include:\n\n* Ultra low-code experience: get setup in hours.\n* JS-based embedding (React, Angular, Vue & Svelte).\n* Extensible with code and highly flexible.\n* Native to your UI (we offer a lot of control).\n* Works with normalized and dynamic customer data structures.\n* Direct API access via our React or Vanilla JS Hook.\n* A powerful Custom Reporting option.\n\n**❓How do I sign up?**\n\nSign up link [**here**](https://app.vizzly.co/sign-up)**.**\n\nAlternatively, feel free to schedule a demo with us [**here**](https://calendly.com/mswilliamson/call-with-matt)**.**\n\nThank you! Vizzly Team ✌️",
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        "created_at": "2022-08-10T17:11:57.727Z"
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        "title": "Cambio 🏗️🌎🚀",
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        "body": "Hi! We’re Steph and Leia, co-founders of Cambio.\n\n**Problem**\n\nThere are many stakeholders in commercial real estate (landlord, LP investor, lender, property manager, etc.). At the center of them all is building data: leases, loan documents, environmental assessments, physical conditions reports, etc. Yet this data is analog, manually created and spread across thousands of PDFs and spreadsheets. Bottom line: there is no system of record weaving all stakeholders in commercial real estate together.\n\nThis makes mission critical workflows like capital planning and compliance painful. Teams rely on manual, expensive and fragmented consultant engagements, requiring thousands of team hours and millions of dollars in upfront cost, just to know where to take action in order to drive returns and impact across the portfolio. After years of manually hunting down utility data, sifting through static 100-page reports and building one-off financial models for every building in the portfolio, real estate managers are desperate for a better way.    \n\n**Enter Cambio**\n\nWe’ve lived this painful user journey. That’s why we built Cambio - to disrupt and automate this process. We use LLMs and agentic workflows to reason across thousands of pages of building documents and help commercial real estate funds identify high-impact retrofits that drive cost savings, compliance and decarbonization. Our AI-based models empower cheaper, faster, and more intelligent data-driven decisions across hundreds or thousands of buildings at scale.\n\n**Backstory**\n\nWe met as roommates at Stanford while pursuing our Masters degrees. On move-in day, we discovered we both worked in commercial real estate and joked over a glass of wine that we should team up to start a company together. The rest is history! \n\nWe’re building the solution we wished we had across collectively two decades working at leading commercial real estate players like KKR, Goldman Sachs, JPMorgan and Oxford Properties.  We’ve lived the pain point and are ready to deliver our solution to the market.\n\n![uploaded image](/media/?type=post&id=65456&key=user_uploads/1069893/dba9f65f-e767-41e8-aaa3-5d34a3956fe2)\n\n**The Ask**\n\nWe’re rapidly growing our technical team (SWE, Data Engineering, Data Scientist) and also looking for warm intros to any commercial real estate companies.\n\n[founders@cambio.ai](mailto:founders@cambio.ai)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/cambioai/) for updates and reach out if you’d like to chat - thanks!  ",
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        "title": "Axle: Plaid for Insurance",
        "tagline": "Axle is an open platform for insurance, enabling companies to instantly collect, verify, and monitor insurance through consumer-consented data. ",
        "body": "[Get started today!](https://axle.insure)\n\n### **What’s the problem?**\n\nToday, both **consumer services** - like rental car companies and lenders - and **gig services/ employers** - like rideshare and food delivery - rely on legacy systems, paper, and hours on the phone each day to verify insurance for their customers or contractors with no real way to monitor coverage after the fact. This leads to friction in the checkout/onboarding process, heavy manual overhead for operations teams, and gaps in coverage that result in painful subrogation or expensive claims against umbrella policies.\n\n![uploaded image](/media/?type=post&id=64702&key=user_uploads/1050387/634c242f-59c3-452a-aa6c-c29094d0d29f)\n\n### **How do we help?**\n\nAxle automates collection, verification, and monitoring of insurance - enabling you to make better-informed decisions in seconds instead of hours.\n\nAxle is built for both operations and product teams. You can get started verifying customers in minutes - no code required - using our Dashboard, or embed Axle’s consent interface directly into your application via our API for a seamless customer experience.\n\n![uploaded image](/media/?type=post&id=64702&key=user_uploads/1050387/7caae2e5-ef12-40e9-b0dc-2d9fedd000b5)\n\n### \n\n**Backstory**\n\nI (Cam) have spent the last 3 years building new ways to access (rental, subscription, etc.) and own (home delivery, service pickup and delivery, etc.) vehicles. Time and time again I’ve painfully collected unverified images of insurance cards and dec pages while leveraging tools like Microblink and Acuant to capture and verify identity documents.\n\nI reached out to a few more operators in our network and quickly validated that they were facing the same issue, so I partnered with Nihar to build Axle: a painless way for consumers to link their insurance data to companies they trust.\n\n### **Get started today!**\n\nLooking to save time on insurance verification & monitoring and offering a seamless experience for your customers?\n\nBook some [time](https://calendly.com/axle-cam/30min) with us for a demo and to discuss how Axle can change your insurance process.\n\nFor any other questions, feel free to send me an email at [cam@axle.insure](mailto:cam@axle.insure)!",
        "url": "https://www.ycombinator.com/launches/Gpa-axle-plaid-for-insurance",
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        "created_at": "2022-07-18T17:12:01.762Z"
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    "team_size": 15,
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    "city": "Seattle",
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        "full_name": "Faisal Ilaiwi",
        "title": "Founder",
        "founder_bio": "I am a software engineer. I started my career at Microsoft (6.5 years) and then joined UiPath (3.5 years). In UiPath, I had the roles of an Engineering Manager and a Director of Engineering, where I grew my team from 2 to ~20 people within 2.5 years and faced many challenges doing that. We are building Intuned to help ease some of these challenges.\n\nI grow up in Palestine and went to college there; I was then hired to join Microsoft from there.",
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      {
        "id": 106701,
        "title": "WebSkillet.ai - web automation that gets cheaper every run",
        "tagline": "One API to automate any website. The agent writes code on run 1 and reuses it on every run after - script speed, agent resilience. Try it free at webskillet.ai",
        "body": "**Launch Video: [https://youtu.be/mXxe3P7hMzg](https://youtu.be/mXxe3P7hMzg)**\n\n**\\\nWhat is [Webskillet.ai](http://Webskillet.ai)?**\n\nWebskillet is a single API for web automation - extracting data, downloading files, crawling sites, filling forms, research tasks. You send a task in plain English (plus optional parameters, output schema, and start URL), and an agent executes it in a real browser using code.\n\nThat code is saved as a skillet, and since most web automation is repeat work (the same task on a schedule, or the same task with different parameters), the skillet gets reused on every later run. That's why run 2 can be 4x faster and cheaper than run 1. Here are [**20 real tasks with run 1 vs. run 2 numbers**](https://docs.google.com/spreadsheets/d/1EQVW4sypjW-v-sOz2bFU_iwYP3dadeA-4hdCYPYnHy0/edit?usp=sharing).\n\n**Why this is different?**\n\nPure AI browser agents treat every run like the first one. Nothing transfers: the agent re-explores, re-reasons, and you pay full price in time and tokens every time. Fine for one-offs, but web automation is mostly repeat work.\n\nWebskillet captures what the agent learns as code in the skillet, so run 2 starts from a working solution instead of a blank browser. And it's code reuse, not caching: same skillet, new parameters, fresh data from the live site.\n\n![uploaded image](/media/?type=post&id=106701&key=user_uploads/224423/bb695aa0-402f-4ded-9b33-c9c5ba7da222)\n\n**Our story**\n\nWe've been building [**Intuned**](http://intunedhq.com/) for the past 3 years: a browser automation platform that's been powerful for our customers, but it takes some setup to get up and running. Meanwhile, the world is moving to a place where agents just want everything as an API.\n\nWebskillet is our new product: everything we learned, packaged differently. One endpoint, no setup, and our infra (stealth browser, proxies, captcha solving, AI agent) behind it.\n\nDemo: [**https://youtu.be/U9WPX2bG_GI?si=0qoXtt7JKaTP-eXG**](https://youtu.be/U9WPX2bG_GI?si=0qoXtt7JKaTP-eXG)\n\n**Who it's for**\n\n* **AI agent products** that need the web as a tool. An example: a sales agent calling Webskillet to scrape a big website and build target lists\n* **Product teams** whose product needs data from sites that don't have an API in a repeat manner: government sites or legacy systems\n* **Growth/GTM engineers** doing enrichment and competitor monitoring: pricing pages, job postings, hiring signals\n* **Ops teams** doing repeated lookups: insurance verification, compliance checks, order status\n* **Data/analyst teams** building on web data: price intel, listings, market data, 10-K filings\n\n[**Here's a sheet of 20 real tasks we ran**](https://docs.google.com/spreadsheets/d/1EQVW4sypjW-v-sOz2bFU_iwYP3dadeA-4hdCYPYnHy0/edit?usp=sharing), with costs and timings for run 1 vs. run 2. Every row has a \"try it\" link so you can run yourself.\n\n**Asks**\n\n* **Try it! Sign up at [webskillet.ai](http://webskillet.ai)**\n* Watch the demo and tell us what you think, especially on the skillet concept\n* If you has a scraping/automation [**use case**](https://cal.com/team/intuned/quick-chat), lets talk!",
        "url": "https://www.ycombinator.com/launches/Rkz-webskillet-ai-web-automation-that-gets-cheaper-every-run",
        "votes": 23,
        "created_at": "2026-07-21T14:13:11.426Z"
      },
      {
        "id": 99778,
        "title": "Intuned - Code-first browser automation, built and maintained by AI",
        "tagline": "We help developers build and maintain browser automations (scrapers, RPAs, crawlers) with an AI agent that writes the code and fixes it when websites change.",
        "body": "Hey Everyone,\n\nI'm Faisal, co-founder of Intuned. We're a code-first browser automation platform with an AI agent that builds and maintains your automations: scrapers, RPAs, crawlers, and anything else that needs to control a browser at scale.\n\n<https://youtu.be/22IYRA-ZqQk>\n\n### The problem\n\nBrowser automations run a surprising amount of the internet's back office: price monitoring, job aggregators, data migrations, every RPA that exists because a vendor won't ship an API. And they're miserable to own. The scripts are fragile, selectors break constantly, and when a site changes, someone's day is gone.\n\nThat's before the infrastructure: stealth, proxies, CAPTCHAs, authentication, scheduling, retries, observability. Building one automation is annoying. Running a hundred in production is a full-time team.\n\nRecent AI browsers and LLM-driven agents handle one-off tasks well, but for repetitive tasks that run regularly, you need the speed, predictability, and cost profile that only code gives you. Nobody wants to write that code. And nobody wants to maintain it.\n\n### How Intuned works\n\nTwo parts, designed to work together.\n\n**The platform.** Write automations in TypeScript or Python, organize them into Projects, deploy to Intuned. Run them on demand via API or on a schedule. We handle stealth, CAPTCHA solving, proxies, AuthSessions for login flows, batched Jobs with retries and concurrency, and full observability (logs, browser traces, session recordings).\n\n![uploaded image](/media/?type=post&id=99778&key=user_uploads/224423/e2c5bb13-ee8a-497c-8312-c0793cad9183)\n\n**Intuned Agent.** Describe what you want. The agent explores the site, proposes a schema, writes the code, validates it against the live site, and delivers a production-ready Project you can review and deploy. It also edits existing projects and diagnoses failed runs by pulling real traces and logs, the same signals a human engineer would use.[ Learn more about it in our docs.](https://intunedhq.com/docs/main/02-intuned-agent/overview)\n\n**Self-healing projects.** Flip a switch and the project becomes autonomous. When a site changes and a run fails, Intuned detects it, the agent diagnoses and fixes it, and the project redeploys. You configure how much autonomy it gets. [learn more about it in our docs](https://intunedhq.com/docs/main/02-intuned-agent/self-healing-projects).\n\n**More demos:** [Build a scraper](https://www.youtube.com/watch?v=Es390qwW87w) - [Build an RPA](https://www.youtube.com/watch?v=D1Uf42OS1cs) - [Fix with AI](https://www.youtube.com/watch?v=dPqyOy-brOE) - [self-healing projects](https://youtu.be/22IYRA-ZqQk)\n\n### Use cases\n\n* **Scrapers** — pricing, job listings, public records, news, product catalogs. Anything structured you need on a schedule.\n* **RPA** — form submissions, data entry, report downloads, account actions. Essential when the service you need to integrate with doesn't have an API.\n* **Migrations** — moving data between services that don't talk to each other\n* **Crawlers** — multi-page discovery, sitemaps, content indexing at scale\n\n### How we got here\n\nWe've been in browser automation for over two years. We launched Intuned as a developer platform, but the #1 ask from customers was for us to just build and maintain the automations for them. We ended up running a services motion alongside the product, and over the past year we've processed **40M automation runs (20M minutes)** for a limited set of customers. It became one of the most loved parts of working with us, and also the thing we most wanted to replace with product.\n\nWe spent the last year trying, and nothing we built was good enough.\n\n**Then we integrated the Claude Agent SDK (Claude code wrapped as SDK) directly into Intuned.** Combined with the platform we'd already built, the agent now does what a human engineer on our team used to do: build projects, validate against the live site, read failed run traces, and ship fixes.\n\n### Our ask\n\n* Checkout our docs [here](https://intunedhq.com/docs/main/00-getting-started/introduction).\n* Try it free: [app.intuned.io](https://app.intuned.io)\n* Have a use case you want to talk through? [Book a demo](https://cal.com/team/intuned/get-started) or email [support@intunedhq.com](https://mailto:support@intunedhq.com)\n* Share it with anyone you think will be interested.\n\nThanks for reading 🙏\n\nFaisal & the Intuned team",
        "url": "https://www.ycombinator.com/launches/PxK-intuned-code-first-browser-automation-built-and-maintained-by-ai",
        "votes": 67,
        "created_at": "2026-04-15T14:35:16.537Z"
      },
      {
        "id": 83938,
        "title": "Intuned Auth Sessions - Build authenticated scrapers and RPA",
        "tagline": "Intuned Auth Sessions enable you to easily build authenticated scrapers and browser automation for a wide set of use cases. Watch our demo videos to learn more!",
        "body": "# **The Problem**\n\nAdding authentication to any type of browser automation complicates it. There is a lot to handle—session expiration, proxies, obtaining user credentials/consent, monitoring, and more—and there is no easy or standard way to handle it.\n\n# **The Solution**\n\nIntuned Auth Sessions provides a standardized, developer-friendly way to add authentication to any browser automation task. Whether you're building authenticated scrapers, implementing RPA processes, or creating custom integrations for a service without APIs, Intuned simplifies the process and provides you with the infrastructure. Intuned’s auth sessions come with features that handle common authentication challenges, such as securing credentials, solving challenges, proxy support, 2fa, and more!\n\nOne of the features that we are super excited about is our auth session recorder, where you can allow the user to log in to a remote browser and capture the session from that. Check out how it works here (and watch the full video below for more info):\n\n![uploaded image](/media/?type=post&id=83938&key=user_uploads/224423/47827269-e4ce-4a87-b57b-7a07d8cdc9bd)\n\n# **Use Cases, Demos, and Docs**\n\n* **Build a LinkedIn integration/Build an integration with a service that has no APIs.**\n  * Video Demo: <https://www.loom.com/share/fc56861199874850bee8a6dd33fd2aef>\n  * What does the demo show? We build an integration that enables users to “Connect to LinkedIn” and then show how we can automate a simple action.\n* **Authenticated Scraper:** Build scrapers that pull data from a website that requires auth.\n  * Video Demo: <https://www.loom.com/share/3488fb24bda04278ae88d5b018d22fd3>\n  * What does the demo show? We build a scraper that runs daily and pulls data from an authenticated website.\n* **Back office Automation:** Automate back office operations on a website that requires auth.\n  * Video Demo: <https://www.loom.com/share/df53a15788504c86a06e4c0f3b37e5f6>\n  * What does the demo show? We automate some tasks on OrangeHRM using a service account.\n* To learn more about the feature and about Intuned in general, here are a few pointers to our docs:\n  * General docs: <https://docs.intunedhq.com/>\n  * Auth Session docs: <https://docs.intunedhq.com/docs/auth-sessions/overview>\n  * How to guides: [how to automate LinkedIn](https://docs.intunedhq.com/docs/guides/auth/how-to-automate-linkedin) and [how to do credentials based authentication](https://docs.intunedhq.com/docs/guides/auth/how-to-authenticate-with-credentials).\n\n# **Our Ask & Onboarding**\n\n* Does this set of features sound like something you need? We are ready to onboard developers starting today: <https://cal.com/team/intuned/get-started>\n* Do you know someone facing these challenges? [Email us](mailto:founders@intunedhq.com)",
        "url": "https://www.ycombinator.com/launches/Lpq-intuned-auth-sessions-build-authenticated-scrapers-and-rpa",
        "votes": 30,
        "created_at": "2024-09-11T14:20:22.252Z"
      },
      {
        "id": 81730,
        "title": "Intuned - The browser automation platform for developers and product teams",
        "tagline": "Develop, deploy, and monitor reliable web scrapers and browser automations",
        "body": "### **TL;DR**\n\nUse [Intuned](https://intunedhq.com/) to develop, deploy, consume, and monitor reliable web scrapers and browser automations. Reliability is powered by AI.\n\n### **❌ The Problem**\n\nStartups increasingly rely on browser automation for data scraping and RPA (Robotic Process Automation: automate what doesn’t have APIs via UI). However, the process of building, deploying, and maintaining these automations is fraught with challenges:\n\n* Building and deploying browser automations requires specialized infrastructure that can be complex to set up and maintain.\n* Browser-based automations are inherently fragile. Over 100 conversations with founders, product managers, and integration team members revealed a unanimous concern: the reliability and maintenance headache of scrapers and RPA.\n* The lack of monitoring tools for browser automations complicates the prompt detection and resolution of issues that occur during automation operations.\n\n### **✨ Our solution**\n\n[Intuned](https://docs.intunedhq.com/) is the platform for developers and product teams to develop, deploy, consume, and monitor **reliable** web scrapers and browser automations. We use LLMs to make common browser automation tasks easier to build and more reliable. Check out our docs ([https://docs.intunedhq.com](https://docs.intunedhq.com/)) for more info.\n\n<https://youtu.be/FegYJWg9vcU?si=02O_Y2w6oqvZO71J>\n\n### **How does it work?**\n\n**Develop**\n\nThe Intuned platform has an IDE built to speed up the process of building browser automations. Intuned IDE comes with custom features like action recording, selector creator, and more! To learn more, check out [**Develop**](https://docs.intunedhq.com/docs/platform/develop/overview).\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/fd5e1fb7-0bff-44be-9444-1c33f8f14e84)\n\n**Deploy**\n\nIntuned’s projects can be deployed with a single click and within a minute. To learn more, check out [**Deploy**](https://docs.intunedhq.com/docs/platform/deploy).\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/7f553275-4f64-4325-a19a-87cb7dd6b3d8)\n\n**Consume**\n\nStart consuming your projects by making API calls directly or scheduling jobs for scraping tasks. To learn more, check out [**Consume.**](https://docs.intunedhq.com/docs/platform/consume)\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/0ac65a69-0a97-4777-b0b8-47ea18aa1ec0)\n\n**Monitor**\n\nGet proactive alerts on failures - with access to previous runs’ traces, recordings, and results. To learn more, check out [**Monitor.**](https://docs.intunedhq.com/docs/platform/monitor)\n\n![uploaded image](/media/?type=post&id=81730&key=user_uploads/1063634/3d319b39-591b-4947-97b7-0f086b324101)\n\n**Reliability**\n\nAs part of the Intuned platform, we provide the `@intuned/sdk` , a library built on top of Playwright, extending its capabilities by offering powerful helpers designed for common browser automation tasks. The `@intuned/sdk` enhances Playwright by making automation tasks more reliable and easier to implement.\n\n### **Our story - why build this?**\n\nFaisal and I started our YC journey working on an analytics platform. However, our background at UiPath drew founders to us with challenges around scaling manual processes. These interactions revealed the inefficiency of classic RPA tools for customer-facing integrations. When the time to pivot arrived, we analyzed YC startups batch-by-batch and observed a rising trend: many founders were venturing into areas requiring non-standardized access.\n\nOver 100 conversations with founders, product managers, and integration team members revealed a unanimous concern: the complexity and reliability of building and maintaining such integrations. Over the past few months, we've handled over a million requests for our early customers who are setting up their large-scale scrapers/automations.\n\n### **Our ask to you**\n\nAre you a dev building a scraper or browser automations? Or have you been postponing building those? Check out [Intuned](https://intunedhq.com/), or just chat with us [here](https://cal.com/team/intuned/get-started).\n\nKnow someone facing these challenges? We appreciate introductions! Contact us for an introduction blurb to facilitate the process.\n\n### **Docs and How-to guides**\n\nGeneral docs: <https://docs.intunedhq.com>\n\nQuick start: <https://docs.intunedhq.com/docs/getting-started/quick-start>\n\nBuild your first scraper - webhook sink: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-to-webhook>\n\nBuild your first scraper - S3 sink: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-to-s3>\n\nScrape data from web and files: <https://docs.intunedhq.com/docs/guides/scrapers/how-to-scrape-files>\n\nWeb data extraction (how you don’t need selectors anymore!): <https://docs.intunedhq.com/docs/data-extraction/web-data-extraction>",
        "url": "https://www.ycombinator.com/launches/LGE-intuned-the-browser-automation-platform-for-developers-and-product-teams",
        "votes": 54,
        "created_at": "2024-06-25T15:00:44.188Z"
      },
      {
        "id": 64781,
        "title": "🎵 Intuned - The data assistant for engineering leaders",
        "tagline": "We help engineering managers rein in the chaos",
        "body": "**TL;DR:** [Intuned](https://www.intuned.io/) is the data assistant for engineering leaders. [Watch our demo](https://bit.ly/3PIvCY2) to see how it works, and [email us](mailto:founders@intuned.io) if you want to learn more or get early access!\n\nWe are [Faisal](https://www.linkedin.com/in/faisal-ilaiwi-77356135/) and [Zawad,](https://www.linkedin.com/in/zawad-chowdhury/) and we are building [Intuned](https://www.intuned.io/)! We are on a mission to help engineering leaders!\n\n### **❌ The Problem**\n\nBeing an engineering manager day to day is not easy. There is a lot that engineering managers are dealing with, here are a few of the many issues we are trying to help with:\n\n* When it comes to people, many management decisions rely on gut feeling **alone.** This is why the performance-reviews period is a tough one.\n* There are a lot of repetitive, ad-hock, and manual tasks that are expected from a manager. An example is the regular reporting managers are often asked to prepare. Another one is the periodic planning activities that teams go through.\n* Driving change within organizations is hard, what makes it harder is the lack of an easy way to set measurable goals and track progress towards achieving them.\n* Managers have to deal with a set of different tools day to day, these tools all have different and inflexible notification systems, which makes them (as notification systems) useless. This is why managers use a pull model (go check on things) vs. a push model (they get notified) on the things they care about.\n\n## **✨ Our Solution**\n\nWhile the problems above are common with most managers, the exact way they can be solved will depend on the manager, their team, their processes, and the systems they use. There is NO one-size-fits-all here!\n\nWith [Intuned](https://www.intuned.io/)_,_ we are providing a toolbox to help!\n\nAs an engineering leader, [Intuned](https://www.intuned.io/) will enable you to connect your data from the different systems you and your team use (Jira, Github, Notion, Excel, and more) and will give you a powerful way to query it, explore it, build metrics, and actions on top of it.\n\nUsing this flexible approach, we believe we can help managers with many of their regular tasks, and save them time, effort and randomization.\n\n[Watch our 4-min demo to see how it works](https://www.youtube.com/watch?v=xzFTvSwFaqs)\n\n### **⚙️ How does it work?**\n\n**🔗 Connect your data with a few clicks.**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/95454f4b-64db-4a06-9e08-b3550b138824)\n\n**❓ Query and explore your data - save hours on building manual reports.**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/107f6c59-9790-4eb4-a040-78e18dffdeda)\n\n**🔔 Setup a custom notifications - never miss a critical issue again!**\n\n![uploaded image](/media/?type=post&id=64781&key=user_uploads/224423/482e12d8-d5c3-4eb8-be56-e78960e44a0d)\n\n🏗️ **Why build this?**\n\nAs a former engineering manager myself, this is the product that I wish I had!\n\n2\\.5 years ago, I became a manager for an engineering team of 2 that end up growing to around 20 people by the time I left _UiPath_.\n\nAs my team was scaling, we experienced growing pains with engineers being blocked, deployments getting delayed, and overall team execution lagging. I realized our software delivery process wasn’t keeping up but I couldn’t pin point what it was. So I ended up building a small tool to help! That tool ended up being very useful. That tool is the inspiration behind [Intuned](https://www.intuned.io/).\n\n### **Let’s Talk!**\n\nIf you or someone you know are a leader of an engineering team who is feeling some of these pains, we think [Intuned](https://www.intuned.io/) can help! please [email us](mailto:founders@intuned.io) or [schedule a meeting](https://calendly.com/intuned/15min) with us.",
        "url": "https://www.ycombinator.com/launches/Gqr-intuned-the-data-assistant-for-engineering-leaders",
        "votes": 241,
        "created_at": "2022-07-20T23:49:02.445Z"
      }
    ]
  },
  {
    "id": 27258,
    "name": "AccessOwl",
    "slug": "accessowl",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f47d40efa2ec60ceb6de3d5dad85ab504f1c80f.png",
    "website": "https://www.accessowl.io/",
    "all_locations": "Berlin, Berlin, Germany; Remote",
    "long_description": "AccessOwl automates employee SaaS account provisioning and permissioning for any tool. IT teams from companies like Zeplin and Sary save 30 minutes on every request.\r\n\r\nAccess management used to be an enterprise problem. With work from home, exploding SaaS usage and the need for SOC2 certifications startups have the same problems as enterprises. \r\n\r\nMathias and Philip have built several startups and teams before and experienced the same problems around access management over and over again. Philip was the CEO and Co-Founder of blik, an award winning IoT solution that was used by Volkswagen and BMW. Mathias built the leading private payment infrastructure provider in Germany as well as the first digital car insurance as Co-Founder and CTO. Based on these experiences we decided to build a solution we wish we could have used when building our former companies.\r\n\r\nAccessOwl can be deployed within minutes instead of weeks by simply installing a Slack application. We save companies that use AccessOwl 30 minutes for every access request, on- and offboarding. ",
    "one_liner": "Managing your Employees' Access to SaaS",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1655853975,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Security"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Germany",
      "Europe",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/accessowl",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/accessowl.json",
    "year_founded": 2022,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/accessowl",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f47d40efa2ec60ceb6de3d5dad85ab504f1c80f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": null,
    "founders": [
      {
        "user_id": 165231,
        "full_name": "Philip Eller",
        "title": "Founder",
        "founder_bio": "As CEO and Co-Founder of blik I sold thousands of IoT devices to BMW and Volkswagen before building out new business units for Compado (Ad-Tech). Scaling from 0-1.8M in profits selling within a single year. AccessOwl is solving the problems we had ourselves when scaling business in the past. ",
        "is_active": true,
        "linkedin_url": "https://de.linkedin.com/in/philip-eller-7667238b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d03166921ce998207b30302568cfd90ca8fde25c.jpg"
      },
      {
        "user_id": 824799,
        "full_name": "Mathias Nestler",
        "title": "Founder",
        "founder_bio": "Mathias Nestler is the co-founder and CTO of AccessOwl. He is a Forbes 30 under 30 Entrepreneur and CTO with 10+ years of experience in Technology. Former CTO & Co-Founder of FRIDAY.de (InsurTech). Former CTO of viafintech.com (FinTech). Loves to work on great products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mathias-nestler-a8436044/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4975f24c7b47682decfc9ecdd3ac8fb7eb7aaf8d.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85154,
        "title": "AccessOwl - SaaS Spend Management",
        "tagline": "Track, manage and reduce your SaaS spend in a single place.",
        "body": "**tl;dr** AccessOwl SaaS Spend management is your single pane of glass across all your SaaS apps, allowing you to keep track, manage, and reduce your SaaS costs.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/fc45f909-ef8a-4412-bf4f-35dbf1c1b8a5)\n\n**The Problem**\n\nWith SaaS apps multiplying across teams, budgets spiral due to overlooked renewals and unused licenses. Manual tracking via spreadsheets is inefficient, leading to hidden costs and wasted resources for finance and IT teams.\n\n**The Solution**\n\n**AccessOwl SaaS Spend Management** offers real-time cost visibility and centralized tracking to streamline SaaS management. By automating renewal alerts and usage insights, it empowers companies to cut waste and control SaaS spend efficiently.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/594c73b0-0c58-4484-874e-c06f9d5f5f81)\n\n**Key Features**\n\n• **Cost Transparency on Access Requests**: Employees can now see the price tag on every seat and license before adding new software, keeping budgets on track from the start.\n\n• **Centralized Cost Tracking**: Filter SaaS costs by department, team, or individual employee. Get clear insights without the usual hassle of piecing together spreadsheets.\n\n• **Renewal Calendar**: Never miss a renewal or an opportunity to negotiate. The renewal calendar and usage insights help teams optimize spend, avoiding the waste of unused or forgotten subscriptions.\n\n• **Automatic Usage Tracking**: AccessOwl automatically tracks usage and flags unused accounts so you can cut out the fat and make every dollar count.\n\n![uploaded image](/media/?type=post&id=85154&key=user_uploads/165231/5203a6b2-3e37-4441-9a66-726230261a02)\n\n**Uncover all of your SaaS apps first**\n\nThe [free Shadow IT scan](https://www.accessowl.com/scan) gives you a quick and easy overview of every SaaS app that’s used within your organization.\n\n**🚀 Getting started with tracking, managing, and reducing SaaS spend**\n\nVisit [AccessOwl.com](http://AccessOwl.com) to learn more, or book a demo [here](https://calendly.com/d/dyj-q7w-qmb/accessowl-demo).",
        "url": "https://www.ycombinator.com/launches/M9S-accessowl-saas-spend-management",
        "votes": 13,
        "created_at": "2024-10-30T18:56:16.804Z"
      },
      {
        "id": 81875,
        "title": "AccessOwl: Discover every hidden SaaS app and their users",
        "tagline": "🔍 Losing track of your SaaS apps? Uncover your Shadow IT with a single-click",
        "body": "Losing track of who has access to which apps is a nightmare. In [**Mathias Nestler**](https://www.linkedin.com/in/mathias-nestler-a8436044/) and my previous roles as CTO, COO, and CEO, the problem usually came up in one of three ways:\n\n1. **Missed Employee Offboardings:** If I don’t know which apps the employee used, it’s impossible to fully offboard them. There’s nothing worse than finding out an employee who left for your competition still has access to company data.\n2. **Failing Compliance:** The first question an auditor will ask is what systems you use. Knowing where your company data lives is at the core of any audit.\n3. **Unwanted Costs:** It sucks to find out that you pay for multiple apps that essentially do the same. You can only keep your team accountable if you know what they use.\n\nIn the world of IT administration this challenge is called ‘Shadow IT' - apps you are not aware being used by your team.\n\nHistorically, the only options have been to repeatedly ask employees to fill out a Gsheet with any apps they remember using or to manually search through Google Workspace OAuth logs.\n\n**Here’s a better option:** [**Uncover all SaaS apps and their users in a single click!**](https://www.accessowl.io/scan)\n\n![](https://bookface.ycombinator.com/media/?type=post&id=81875&key=user_uploads/165231/04941cdd-2f76-4b0c-b7f4-e44d0b1a41d1)\n\n[**Scan now!**](https://www.accessowl.io/scan)\n\n_The Shadow IT scanner will find any SaaS app your employees use in combination with Google or Microsoft sign-in._\n\n### FAQ\n\n> **Why do you offer this for free?**\n\nKnowing who has access to what should be the standard for all of us. We want to bring attention to the need to manage your access proactively, which is why we decided to offer a part of our product for free.\n\n> **How does it work?**\n\nAccessOwl reads your organization’s OAuth logs and matches them with our SaaS database. As a result, you’ll see which apps have been used and by whom.\n\n> **What if a user signed up with email/password and didn’t use ‘Sign in with Google/Microsoft’?**\n\nThis feature is not currently part of the free scan. However, our core product offers advanced Shadow IT detection, which includes checking for invitation emails.\n\n> **Is this safe to use?**\n\nYes, reading OAuth logs is common practice for SaaS management vendors. The data is only extracted when you actively request a scan. AccessOwl is SOC 2 Type II audited and GDPR compliant.\n\n[**Start your Shadow IT scan now!**](https://www.accessowl.io/scan)\n\nSurprised by the results? [_Book a free 1:1 consultation_](https://calendly.com/accessowl/30m) _with one of the AccessOwl founders to learn about best practices for keeping track of user access!_",
        "url": "https://www.ycombinator.com/launches/LIZ-accessowl-discover-every-hidden-saas-app-and-their-users",
        "votes": 19,
        "created_at": "2024-07-03T15:20:28.896Z"
      },
      {
        "id": 64758,
        "title": "AccessOwl: Automate SaaS access for your employees",
        "tagline": "SaaS account provisioning and permissioning for your workforce. Save 30 minutes on every access request.",
        "body": "**tl;dr AccessOwl automates how your employees receive access to SaaS tools. Provision any tool, no matter what API is available. IT teams from companies like Zeplin save 30 minutes on every access request.**\n\n## **📜 The Story**\n\nManually creating software accounts, documenting it in Gsheets and rushing through dozens of tools with every offboarding. Those are struggles we faced time over time when building prior startups. Available solutions only cover a fraction of the tools and require expensive upgrades to enterprise-subscriptions ([SSO.Tax](http://SSO.Tax)). That’s why we built an easy-to-use tool with a Slack-UI that every employee knows how to work with and bundled it with unmatched provisioning capabilities (hundreds of apps!).\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/b1769bda-60e3-4cf9-9085-59489077abd7)\n\n## **❌ The Problem**\n\n1. **30 minutes wasted for every Access Request**: Your workforce needs to request, approve, provision, communicate & document for every single access request\n2. **Enterprise subscriptions needed**: Other solutions only work with specific APIs (SCIM/SAML) for which the highest enterprise subscription is needed (”SSO Tax”).\n3. **Compliance & Security**: Documenting who has access to what is a manual and tedious process that never is 100% accurate\n\n## **✨ The Solution**\n\n1. **Automated workflows in Slack**: On- & Offboardings, Access Requests and Approvals all handled directly in Slack. Stop the JIRA ticket-flood - saving your workforce time and nerves.\n2. **Provisioning & Permissioning**: AccessOwl is the future of Access Management. It handles all account changes (creation, deletion, updates) for all SaaS applications. The best: It works no matter what API is available.\n3. **Stay SOX, SOC2, HiPAA, ISO27001 compliant:** Full Audit-trail about who has access to what and ability to schedule recurring Access Reviews.\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/22da2853-f0c9-4beb-afd3-0d940596e675)\n\n## ⚡ **How it Works**\n\n1. **Install it in Slack:** Give your employees access in one single click\n2. **App Discovery & Sync**: Let AccessOwl discover all applications used by your team by connecting to your Google Workspace\n3. **Start (De)Provisioning**: Have AccessOwl automate all of your provisioning and deprovisioning tasks\n\n## 🌐 **Integrations**\n\nAccessOwl already works with over 100+ applications. Let us know which are the most relevant to you!\n\n![uploaded image](/media/?type=post&id=64758&key=user_uploads/165231/f9b7f249-5d53-42db-b35e-672c9f09eacc)\n\n### **Try out AccessOwl 7-days for free** or [book a demo with us](https://calendly.com/accessowl/accessowl-demo)",
        "url": "https://www.ycombinator.com/launches/GqU-accessowl-automate-saas-access-for-your-employees",
        "votes": 38,
        "created_at": "2022-07-20T13:07:22.390Z"
      }
    ]
  },
  {
    "id": 27262,
    "name": "Pivo Technology Inc",
    "slug": "pivo-technology-inc",
    "former_names": [
      "Pivo Technology"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7420fcdf5d2a549094588e1723a574be25f57e2e.png",
    "website": "http://www.pivo.africa",
    "all_locations": "Lagos, LA, Nigeria; LA, Nigeria",
    "long_description": "Africa has experienced robust macroeconomic growth over the last five years and was the second fastest growing region in 2019 with a GDP of $2.6T, a 3.7% increase on 2018. Nigeria makes up $0.5T, 50% of which comes from Small and Medium Enterprises (SMEs) – a huge number of these operate within large manufacturing supply chains.\r\n\r\nStarting with Freight Carriers Pivo makes financial services easily accessible for truck owners and truck drivers by providing a bank account, debit card and digital invoicing tools so they can get paid faster and avoid cash flow problems.\r\n\r\nThis will be further augmented by more fundamental financial products such as credit, transaction management, and expense management, to improve their cashflow. ",
    "one_liner": "Digital Bank for Freight Carriers in Africa.",
    "team_size": 11,
    "industry": "Fintech",
    "subindustry": "Fintech",
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        "body": "**The Problem**\n\nSMEs in supply chains are constantly battling cash flow problems. These SMEs do not get paid in advance and have narrow windows (2 to 7 days) to execute orders. Yet their invoices take as long as 90 days to pay. This is further compounded by an inefficient way to track how and when they get paid. They are left struggling to execute large client orders and miss out on significant business opportunities and earnings.  \n\n**The Pivo Solution**\n\nStarting with freight carriers, Pivo provides easy access to a smart bank account, debit card and digital invoicing tools that track payments so they can get paid faster. \n\n![uploaded image](/media/?type=post&id=65366&key=user_uploads/147283/c94afb6e-46c0-424c-9633-9c94b17b6364)\n\nThis will be further augmented by more fundamental financial products such as access to credit and expense management, to improve cash flow for these SMEs. \n\nOur goal is to build an end-to-end financial operating system for these businesses.  \n\n**Our Ask** \n\nKnow any supply chain companies or tech platforms looking for a smart financial partner for their SME vendors? We’d love to connect with them. Send us an email: [founders@pivo.africa](mailto:founders@pivo.africa).",
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        "title": "Dev Tools AI 🤖 CoPilot for UI Testing",
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        "body": "# **TL;DR**\n\n[Dev Tools](https://www.dev-tools.ai/) is a library that makes it easy to write web tests in your existing framework by drawing a box over a screenshot instead of building a locator.\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/6cf84e73-20ac-4ca5-994d-329f77e7b325)\n\n\n# **🤕Problem**\n\nWriting end to end tests is difficult and time consuming. It takes forever to dig into the page code to build the right XPath or locator. And even when these are found, they are likely to change over time as the product continues development.\n\n# **⚡️Our solution**\n\nWe use computer vision to look at the screen, like an end user, and find the element you want to interact with. Then, in real-time, we find the element and return it so all your existing automation can keep working with it. We make this easy to use by extending Selenium with a `findByAI()` method where you just put a human readable name and let the AI do the hard work.\n\nWe even let you see the elements from within your IDE!\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/bb8100b8-b570-4aeb-8bae-fd49cd8d470d)\n\n# **🎉 Bonus Features**\n\n### Work on Games\n\nTraditional automation has trouble working with games as most games render within a canvas element. Because we only use the screenshot, and not page source, we can play games like LooneyToons!\n\n![uploaded image](/media/?type=post&id=65540&key=user_uploads/1076464/3feb64e1-36cd-47c0-93f5-a8c3e98d10d1)\n\n### Crawl for Errors\n\nMonkey Testing for errors comes standard with Android, but there isn’t a default one for Web. We added that functionality to our SDK so that you simply call `scan_domain()` and it will crawl your page and look for errors like broken links, 404s, console errors, etc. Learn more in our [blog](https://www.dev-tools.ai/blog/site-sacnner) about the feature.\n\n# **Our Ask - Try it out and give us feedback**\n\nIf you write or have written Selenium or UI tests, we would love your feedback on the tool.\n\nJoin us on [Discord](https://discord.gg/2J9WEYdq5C), or follow us on [Linkedin](https://www.linkedin.com/company/dev-tools-ai)!\n\nIf you have any questions or automation challenges, reach out to us anytime! [chris@dev-tools.ai](mailto:chris@dev-tools.ai) & [etienne@dev-tools.ai](mailto:etienne@dev-tools.ai)",
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        "full_name": "Hansel Hansel",
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        "tagline": "We are building e-commerce for construction materials in Indonesia while digitizing & optimizing operations across the value chain",
        "body": "# **Problem & Target Customer**\n\nConstruction industry is one of largest industry in Indonesia. Despite its importance, purchasing construction materials is challenging:\n\n* Price seeking & stock availability check still happens manually; typically buyers spend hours or days to compare price & check for stock availability\n* Much-needed credit is expensive because buyers could not reliably provide their credit information\n* Lack of visibility on delivery time; Buyers/contractors need to prepare workers/documents to unload products. This results in lengthy waiting time during delivery\n* Product OOS due to fragmentation and disconnection in the value chain; manufacturers could not accurately produce the right product at the right time and at the right quantity\n\nOur customers are contractors & construction material stores.\n\n# **How Materee can help**\n\nWe create an E2E technology solution that integrate & streamline operations throughout the value chain, with e-commerce as our core\n\n* **e-commerce;** buyers can easily look for & buy construction material products, with real-time pricing & stock availability information\n* **Digital supply chain** to ensure that delivery is on-time and to provide delivery visibility in real-time\n* **Financial services** to provide personalized credit offerings based on buyers’ information, for example, buyers’ transactions & payment history\n* **Cloud manufacturing** to strategically connect us with manufacturers and provide more accurate demand planning.\n\n# **Who we are**\n\n\\- Hansel (CEO); B2B industry & commercial expert with 10+ years of experience in Strategy (BCG), Sales, and Operations, including in Construction and Manufacturing industries.\n\n\\- Steven Walentino (CTO); Software engineer with 8+ years of experience in Cloud Technology and Data Analytics from global tech companies such as Google. He also led engineering team in Kargo, leading tech logistic company in Indonesia.\n\n# **How you can help**\n\n> **Know any Manufacturer** that produces Construction Material products that are **interested to expand to** or **is operating in Indonesia?** Please help introduce us through [**info@materee.id**](mailto:info@materee.id)!",
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        "title": "Mogara - Automatic software R&D capitalization 💰",
        "tagline": "We automate capitalizing software R&D expenses for accounting teams",
        "body": "**TL;DR** Mogara automates capitalizing software R&D expenses (now required for all software companies filing taxes in the US).  Let’s talk if you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization.\n\n### **Problem**\n\nThe IRS made a change that impacts all software companies filing taxes in the US for the 2022 tax year and beyond: everyone needs to capitalize their software development costs.\n\nFor most accounting and engineering leaders, this is painful news: they’ll review projects over a quarter, determine what’s capitalizable based on the Internal Revenue Code, and send time tracking surveys for engineers to fill out on a quarterly basis. The time tracking surveys will need to be completed in order for accounting to close the books. \n\nRelying solely on issue trackers like Jira is not much better. Controllers say the fields they need aren’t reliably filled in, so they end up in a painful spiral of reminders - or falling back on time tracking surveys.\n\n### **Solution**\n\nMogara automates software R&D capitalization. Every software company filing taxes in the US now needs to capitalize software R&D, representing a $13B opportunity for a process that’s currently manual reporting.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/c0f0c07e-517d-4a9f-a100-afe1683c747a)\n\n💻 Integrate with your software team’s IDE(s) & code repository for data collection\n\n⚙️ Connect with issue tracking tools like Jira for easy categorization\n\n💸 Tie in payroll data from your HRIS system to determine capitalizable costs for software development\n\n🔢 Set up and track capitalizable projects with a simple wizard interface\n\n### **How’d we get here?**\n\nWe’ve built simple user experiences for complex financial systems.\n\n![uploaded image](/media/?type=post&id=70141&key=user_uploads/881211/468ad4e6-2f34-4ec4-862d-f5f0ad664c5c)\n\nNeha worked as a product manager at Affirm building traceability and reporting for the company’s multi-million dollar daily money movements. She saw how tough it could be for the accounting team to get the data they needed from software teams.\n\nJay worked at Stripe as a product engineer for nearly 5 years after getting acquired as an early engineer at a startup called Index, where he worked on several complex regulated fintech products.\n\nWe met through a mutual friend last year and hit it off. We share a love for good pizza, making memes of Jay’s kid, and music. Together, we have over a decade of product development experience and we’ve been at companies from the early stages all the way through preparing for IPO.\n\n# **Ask**\n\nIf you do accounting at a software company with 30+ engineers and are responsible for R&D capitalization, let’s talk.\n\nDrop us a note at [founders@mogara.app](mailto:founders@mogara.app) or sign up on our [website](http://mogara.app).",
        "url": "https://www.ycombinator.com/launches/IFJ-mogara-automatic-software-r-d-capitalization",
        "votes": 34,
        "created_at": "2023-03-10T17:17:01.594Z"
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    "long_description": "Sameday is the AI workforce for the trades — outperforming humans at high-stakes, revenue-critical work, such as sales, dispatch, and more.",
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        "full_name": "Aaron Cooper",
        "title": "Founder",
        "founder_bio": "Formerly the Chief Marketing Officer of the fastest growing home services company in the US. I now run a startup that solves the biggest pain in the home services space. Answering the phone.",
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        "id": 55427,
        "title": "Fullstack Engineer (AI Emphasis)",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/b0Ije7T-fullstack-engineer-ai-emphasis",
        "location": "lehi, utah",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$165K - $225K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
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        "id": 56597,
        "title": "Account Executive (B2B)",
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        "salary_range": "$70K - $120K",
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        "title": "Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/ylhHaMO-frontend-engineer",
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        "role": "Engineering",
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        "salary_range": "$125K - $150K",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/n19CuRo-backend-engineer",
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        "title": "Senior Backend Engineer",
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        "id": 69929,
        "title": "Senior Front-end Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/QOLxuc7-senior-front-end-engineer",
        "location": "Lehi, UT, US",
        "type": "Full-time",
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        "id": 69930,
        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/UQGeZeZ-senior-qa-engineer",
        "location": "Lehi, UT, US",
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        "role_type": "QA engineer",
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        "id": 69931,
        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/spnP7Cz-product-manager",
        "location": "Lehi, UT, US",
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        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$135K - $165K",
        "equity_range": "0.01% - 0.30%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 84175,
        "title": "Revenue Operations Manager",
        "url": "https://www.ycombinator.com/companies/sameday/jobs/K7MDzAx-revenue-operations-manager",
        "location": "Pleasant Grove, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $130K",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
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    "news": [
      {
        "title": "Check Out 55 Generative AI Startups in Y Combinator's Latest Batch",
        "url": "https://www.businessinsider.com/generative-ai-startups-launch-ycombinator-demo-day-winter2023-2023-4#sameday-38",
        "date": "Apr 24, 2023"
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      {
        "id": 65994,
        "title": "📞 Sameday: Always be available.",
        "tagline": "Sameday answers any calls your sales team otherwise would miss and follows up until the sale is made.",
        "body": "Super thrilled to share Sameday with all of you!\n\nOur customers say they’ve never heard anything like it, and that’s the point. People love talking to Sameday’s virtual sales agents. Not only does Sameday sound ultra-human, but it acknowledges a customer’s pain, overcomes objections, and follows up until the sale is made. With a close rate of 80%. \n\nYes, you read that right.\n\n**Sameday’s virtual sales agent closes 80% of all sales calls it receives.**\n\n### **❌ The Problem**\n\nHome service businesses fail to answer 62% of phone calls.\n\nPaying 4X more per lead than any other industry, missing just one sales call costs $80 on average. \n\n**Third-party call centers are expensive.** Averaging several dollars per minute, they also fail schedule services effectively; resulting in low sold to service rates and an even higher cost per acquisition. (Most of Sameday’s customers switched from a third-party call center)\n\n**Staffing is difficult.** Most hire family and friends to answer the phone, while others attempt to answer it themselves…while on the job…covered in who knows what. Some have large call centers, struggling to balance an acceptable ROI and the turnover that comes with a call center. (Many Sameday customers have call centers with 50+ employees)\n\n### **✅ The Solution**\n\nA virtual sales agent that answers any phone calls your team would otherwise miss. But it doesn’t stop there…\n\n**Sameday follows up, initiating outbound calls on its own to ensure every lead gets on the schedule.**\n\nCombine that with Sameday’s ability to onboard new customers in seconds, ultra-human voice, which we call, “Pro Voice”, and the ability to overcome objections, Sameday eliminates all the common pitfalls of other AI solutions, resulting in our customers saying, “Wow”.\n\n**You can learn more at** [**gosameday.com**](https://www.gosameday.com/)\n\n![uploaded image](/media/?type=post&id=65994&key=user_uploads/902840/c08a1316-dc73-4e4e-9ceb-8e27c9800f3d)\n\n",
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    "id": 27664,
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        "full_name": "Vlad Matsiiako",
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        "founder_bio": "Co-founder of Infisical",
        "is_active": true,
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      },
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        "title": "Enterprise Account Executive ",
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        "salary_range": "",
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    "news": [
      {
        "title": "Infisical: The Open Source Security Stack",
        "url": "https://www.youtube.com/watch?v=qDumDlXcMkg",
        "date": "Jun 06, 2025"
      },
      {
        "title": "Infisical raises $16 million Series A led by Elad Gil to safeguard secrets | Fortune",
        "url": "https://fortune.com/2025/06/06/infisical-raises-16-million-series-a-led-by-elad-gil-to-safeguard-secrets/",
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      },
      {
        "title": "Google's Gradient backs YC alum Infisical to solve secret sprawl | TechCrunch",
        "url": "https://techcrunch.com/2023/07/03/googles-gradient-backs-yc-alum-infisical-to-solve-secret-sprawl/",
        "date": "Jul 03, 2023"
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        "id": 69599,
        "title": "💚 Infisical - The open source secrets manager for developers",
        "tagline": "Open source, end-to-end encrypted tool that lets you securely sync secrets and configs across your team, devices, and infrastructure",
        "body": "Hey there, this is team Infisical 🏂\n\n[Infisical](https://infisical.com/) is an open-source, end-to-end encrypted platform for developers to centralize their application secrets and configs, and sync them across their whole development life cycle.\n\nWe launched 3 months ago, and already have 4.2K+ stars on GitHub, 50 contributors, and 220+ community members 🚀\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/00941739-4c42-44c8-92e8-e8fc55f7cb1b)\n\n\n**Imagine this**: You add a new environment variable to your team’s codebase, push it up to GitHub, and head out for dinner. Shortly after, your teammate pulls the latest changes and everything crashes because they're missing that variable.\n\nYou come back to angry messages from your teammate and quickly send them the variable over text, risking a security vulnerability. Everything seems to be working until the next day when you deploy to production, and once again, everything crashes because you forgot to add the environment variable to the production environment.\n\nSounds relatable?\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/d8e6a881-8412-4baf-8f54-b8defb0ecd46)\n\n\n## **Problem**\n\nSecrets play a critical role in every stage of the software development lifecycle, from local development to staging, testing, and production. Even so, teams routinely run into challenges dealing with secret management:\n\n* **Missing secrets across infrastructure**: Having secrets sprawled across infrastructure with no central visibility and control often leads to missing secrets. In turn, applications crash in production and developers lose precious time debugging what’s missing.\n* **Leaking secrets to source control**: Even the biggest companies accidentally expose hardcoded secrets and .env files. When it happens, the consequences are grave.\n* **Lacking self-hosted alternatives**: Many great solutions are not self-hostable or end-to-end encrypted, a challenge for companies requiring it. In a world where security and privacy are increasingly paramount, having these options are essential.\n\n## **Solution**\n\nInfisical provides an open-source, end-to-end encrypted platform for developers to manage their application secrets and sync them across their team and software development lifecycle.\n\nWith Infisical, you can:\n\n* **Securely store and deliver** application secrets to your infrastructure with integrations available for Docker, Kubernetes, AWS, Vercel, GitHub Actions, etc.\n* **Inject secrets** into applications instead of using .env files that often get leaked.\n* **Self-host** Infisical on your own infrastructure.\n* **Enhance observability** of secrets and teammates with secret versioning, rollbacks, and audit logs for every action taken.\n\n![uploaded image](/media/?type=post&id=69599&key=user_uploads/942802/afe74cca-1292-4f25-b0d5-03ae9fc21327)\n\n\n## **Asks**\n\n* Check out Infisical at <https://infisical.com>\n* Contact [tony@infisical.com](mailto:tony@infisical.com) if your company needs help with secret management\n* Intros to companies that in your experience may benefit from Infisical",
        "url": "https://www.ycombinator.com/launches/I6Z-infisical-the-open-source-secrets-manager-for-developers",
        "votes": 58,
        "created_at": "2023-02-23T15:39:57.107Z"
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        "title": "Miracle - Speeding up clinical trials 💊",
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        "body": "**TL;DR** Miracle helps biotech and pharma companies accelerate clinical trials by connecting all patient recruitment data sources. Each day of a clinical trial that Miracle’s software can help shave off is worth on average $2M in additional patent-covered revenue opportunity.\n\nHi everyone! My name is Jin, and I’m the Founder & CEO of Miracle. When I was competing for medals as a former athlete on the USA Archery Team, I used to aim my bow and arrow down at a target 70 meters away. Today, I have my eyes set on improving healthcare by bringing science to life and into hands of patients more quickly.\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/5efd5b1c-4740-45b5-88b5-9824dd2ce30b)\n\n### **The Problem**\n\nBiotech and pharmaceutical companies (“sponsors”) must run clinical trials (phase 1-3) in order to get FDA approval to market their drug. The **average cost to bring a new drug to market is >$2B**, and clinical trials can take up **7-10 years** of a 20-year patent window. Over **80% of clinical trials are delayed** from patient recruitment, but vendors and clinics do not play along nor provide the transparency necessary for sponsors to account for ROI and, ultimately, runway.\n\nToday, Clinical Operations teams within biotech companies spend **15% of their time manually compiling information** from multiple vendor portals and creating visualizations to report up to management and the board on the study progress – all of which take valuable time that they could be using to focus on improving the study operations.\n\nHowever, the bigger problem is that without transparent consolidated reporting, **they have no choice but to throw money at vendors and research sites** in hopes of recruiting patients quickly. They have a hard time optimizing the millions of dollars spent each year in a way that would actually expedite their trial.\n\n### **The Solution**\n\nMiracle is a **one-stop shop** for biotech/pharma to fully automate and consolidate their clinical trial reporting needs. We integrate with their vendors and research sites to **eliminate time wasted** on aggregating metrics and compiling reports, **free up their time** to focus on patient recruitment, and make it possible to **optimize ROI on vendors and sites** that are meaningfully speeding up the trial.\n\n### Examples from Miracle\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/3de6c2ca-0f94-45de-97d7-a781f5228494)\n\n![uploaded image](/media/?type=post&id=69664&key=user_uploads/985589/03be693f-8201-4534-aee3-050853ee439a)\n\n### Our Ask\n\n* If you’re at a biotech company running a clinical trial, we’d love to chat with you.\n* Any intros to biotech/pharma reps (especially in Clinical Operations) would be greatly appreciated.",
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        "created_at": "2023-02-24T21:32:28.618Z"
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        "title": "☕️ Cardinal - Enabling product teams to build measurable features",
        "tagline": "The system of record for product teams enabling them to build the right things and achieve data-driven goals",
        "body": "☕️ **TL;DR**\n\nCardinal is the platform for product teams to define strategies, break it down to goals and set specs (features) with live data and KPIs across systems, consistently through teams and projects.\n\nHi, we’re [**Wiz**](https://twitter.com/nadavwiz) and [**Mor**](https://www.linkedin.com/in/selamor/), co-founders of Cardinal.\n\n![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/88bc6831-ff37-45c6-b40d-54c6c1c654ea)\n\n**🏆 Why Us**\n\nWe’ve lead product and engineering at Epic Games (Directors).\n\nWe’ve lead product and engineering at Houseparty (acquired by Epic Games).\n\nWe’ve started and worked at startups (Docady, Onavo \\[Acquired by META\\]).\n\nWe’ve lead deep tech teams at 8200 (Israeli NSA).\n\nWe’ve been working together for 15 years and built internal tools to document and communicate strategies, progress, and try and track measurements of those throughout. From startup scale to corporate scale, it was always needed and insufficient.\n\nWe’re excited to fix this!\n\n**😩 Problem**\n\nManaging product teams, building and shipping features is hard. Product discovery, spec-ing, prioritization, alignment, measurements and learnings all take a toll on teams trying to execute and build impactful features.\n\n**🧠 Solution**\n\n1. Managing strategy: through time, initiatives and stakeholders.\n2. Methodology: all your teams are aligned and work the same way\n3. Documentation & Knowledge Management: know your history and use it easily.\n4. Data & Insights: connect various systems and set real, live goals.\n\n   ![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/b98d3f9e-9e77-4dde-aefb-4796c1a5a5ae)\n\n\n**🙏🏻 Our Asks**\n\nSign up to the beta at [cardinalapp.io](http://cardinalapp.io), give us real feedback.",
        "url": "https://www.ycombinator.com/launches/IAf-cardinal-enabling-product-teams-to-build-measurable-features",
        "votes": 17,
        "created_at": "2023-03-01T22:19:29.195Z"
      }
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    "id": 27679,
    "name": "rift",
    "slug": "rift",
    "former_names": [
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    "website": "https://rift.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "rift is B2B lead routing made simple.\r\n\r\nInbound workflows leak revenue at every step. Routing is manual. Calendar links are generic. No-shows go unrecovered. The handoff between form fill and booked meeting is where pipeline quietly dies.\r\n\r\nrift fixes that. One system for the full inbound lifecycle:\r\n> Capture. Custom web forms that collect and qualify leads in real time.\r\n> Route. Instant validation, enrichment, and assignment to the right rep.\r\n> Schedule. Top prospects get the best calendar slots, matched to real availability.\r\n> Recover. No-shows and ghosted leads are automatically re-engaged.\r\n\r\nrift is built by growth engineers who ran inbound at high-velocity B2B companies and got tired of watching pipeline fall through the cracks.\r\n\r\nrift is the system we wished existed — opinionated, fast, and wired into the tools sales teams already use: HubSpot, Apollo, Google Calendar, Gmail, Slack, Zoom, Stripe, and more.\r\n\r\nBacked by Y Combinator (W23) and Sequoia Capital.\r\n\r\nnever lose an inbound lead → rift.com\r\n",
    "one_liner": "B2B lead routing made simple",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1676577207,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/rift",
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    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 179324,
        "full_name": "Fil Twarowski",
        "title": "Founder",
        "founder_bio": "CEO @ rift (W23)  ||  first biz hire @ Pulley (W20)  ||  CEO @ Point API (W18)  |  MIT '17",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/filip-twarowski-00996a54/",
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      {
        "user_id": 1157002,
        "full_name": "Edvard Eriksson",
        "title": "Founder/CPO",
        "founder_bio": "Product and Growth at Rift. Formerly Growth at Samsara and Pulley.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/edvarderiksson/",
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    "news": [
      {
        "title": "Announcing our seed",
        "url": "https://www.rift.com/announcing-our-seed",
        "date": "Jul 24, 2024"
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      {
        "id": 69370,
        "title": "📮 rift — Close more deals, without landing in spam",
        "tagline": "Send more cold emails that actually get replies. rift combines email automation and deliverability in a single product.",
        "body": "Hi YC!\n\nFil and Eddie here - we’re co-founders at [rift](http://getrift.com) (W23). We met while working on the growth team at Pulley (W20). At Pulley, we learned that setting up your cold outbound email channel is really hard, rift is our attempt at making it easier!\n\n### ❌ **The problem**\n\nYou’re a B2B business, and you’ve been sending sales emails to your prospective customers. Here are some of your stats:\n\n* You’re sending **100+ emails/day.**\n* Open rates are below **50%.**\n* Reply rates are around **1%**.\n* Bounce rates are upwards of **\\~5%**.\n\nIf you don’t change anything, your next campaign will likely perform worse. Over time, open and reply rates will drop, and your bounce rate will go up.\n\nEventually, your domain reputation will be low enough that you won’t be able to contact your leads or existing customers. This is a tough situation to get out of, and it might take months to recover your domain reputation.\n\n### 🎉 **The solution**\n\nYou need to do two things to effectively sell over email:\n\n1. Set up your cold email infrastructure correctly.\n2. Send relevant sales emails to the right people.\n\n**rift does it all for you in a single platform**. You don’t need to be an expert in email deliverability or cold outbound.\n\nOur product implements the email infrastructure for you, so you can focus only on growing your business. We will work with you 1:1 on writing sales emails that actually get replies.\n\n![uploaded image](/media/?type=post&id=69370&key=user_uploads/179324/3c9d9e74-f0c5-4e41-945f-42dec2000604)\n\n### **🏎️ How do I get started?**\n\nSchedule a call with Fil and Eddie here: <https://app.getrift.com/demo>. We’ll help you fix your outbound email, whether rift is a good fit for you or not.",
        "url": "https://www.ycombinator.com/launches/I2s-rift-close-more-deals-without-landing-in-spam",
        "votes": 49,
        "created_at": "2023-02-16T20:16:58.897Z"
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    "id": 27680,
    "name": "Trigger.dev",
    "slug": "trigger-dev",
    "former_names": [
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    "website": "https://trigger.dev",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Trigger.dev is the open source platform for building AI agents and workflows in TypeScript. Long-running tasks with retries, queues, full observability, and elastic scaling.\r\n\r\nPreviously, the founders built JSON Hero, an open source JSON viewer that is currently used by more than 35k developers a month. Eric was CTO of Code School, an early code learning platform that was acquired in 2015. Matt created two iPad apps that won Apple’s App of the Year.",
    "one_liner": "Build and deploy fully‑managed AI agents and workflows",
    "team_size": 17,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1665673307,
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    "year_founded": 2022,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/triggerdotdev/",
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    "founders": [
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        "full_name": "Matt Aitken",
        "title": "Founder",
        "founder_bio": "Matt Aitken is the CEO of Trigger.dev, a developer tool that makes creating automation workflows a great experience in your codebase. He's a programmer who previously created two iPad apps that went on to win Apple's iPad app of the year award. He's worked on several startups including building JSON Hero, a popular developer tool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mattaitken1985/",
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        "full_name": "Eric Allam",
        "title": "Founder",
        "founder_bio": "Eric Allam is the founder and CTO of Trigger.dev, the developer-first open source Zapier Alternative. He's previously co-founded CodeSchool.com and works on JSON Hero, a popular developer tool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eric-allam/",
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        "user_id": 1102924,
        "full_name": "Dan Patel",
        "title": "Founder",
        "founder_bio": "Co-founder of Trigger.dev; the open source background jobs platform, and JSON Hero.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/danielkpatel/",
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      {
        "user_id": 1093162,
        "full_name": "James Ritchie",
        "title": "Founder",
        "founder_bio": "I'm co-founder and frontend engineer of Trigger.dev, a developer tool for creating background jobs in code. Previously I was a product lead at a number of VC backed startups. I also built JSON Hero, another popular OSS developer tool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jamesritchiecv/",
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        "title": "From Zapier for Devs to Powering 90% AI Agents",
        "url": "https://www.youtube.com/watch?v=_y7siiS-V5A",
        "date": "May 09, 2026"
      },
      {
        "title": "Trigger.dev raises $3M",
        "url": "https://trigger.dev/blog/3m-dollar-seed-round",
        "date": "Aug 25, 2023"
      },
      {
        "title": "Show HN: We built a developer-first open-source Zapier alternative | Hacker News",
        "url": "https://news.ycombinator.com/item?id=34610686",
        "date": "Feb 01, 2023"
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    "launches": [
      {
        "id": 69600,
        "title": "✨ Trigger.dev: The developer-first open source Zapier alternative",
        "tagline": "We make it easy for developers to create powerful workflows directly in code.",
        "body": "**🔥 TL;DR** [**Trigger.dev**](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) **is an** [**open source**](https://github.com/triggerdotdev/trigger.dev) **platform that enables developers to effortlessly create event-driven background tasks directly in their codebase – for example, when a Stripe payment fails, open a Linear issue and send an email to yourself, or easily create a drip email campaign. Write workflows using our SDK, and view a detailed history of all runs in our web app.**\n\nHey! We’re Matt, Dan, James and Eric, the founders of [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n\n### **👀 The Problem:**\n\n* As developers, we find that current workflow / automation tools like Zapier, n8n or Make are great for simple tasks, but not suitable for more advanced use cases.\n* Developers often end up creating important workflows in no/low-code tools on behalf of non-technical team members.\n* Some of these tools let you drop down into code, but it’s not a great developer experience. Developers prefer using their own IDEs with version control and access to the best tools like GitHub Copilot.\n* Connecting together APIs in code is painful – you need to deal with authentication, lots of SDKs and docs for each API you use.\n* Some workflows need to use a database query or access very private data. That data shouldn’t leave your servers and you shouldn’t need to give database access to a third-party.\n\n### **✨ Our solution:**\n\n[Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) makes it easy to create workflows in response to API events (webhooks), on a schedule or on-demand by sending your own events.\n\nAll of this lives in code alongside everything else in your codebase. We handle API authentication with external services, allowing more time to be spent writing functional code, rather than dealing with credentials. We also support long delays of up to a year that survive your server restarting.\n\nAll workflow runs can be viewed in our web app providing great observability for debugging.\n\n![uploaded image](/media/?type=post&id=69600&key=user_uploads/1102924/b7793d79-dfc0-4c9f-b6d1-f4535a24f5ad)\n\n### **🛠 How it works**\n\n* Install the [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) SDK to get access to our custom packages and functions\n* Trigger workflows from webhooks, custom events or schedules (CRON)\n* Use our growing library of API integrations for the best experience. We will support all of the most popular services, including Slack, Airtable, Linear, Stripe, GitHub, SendGrid, Notion and many more. We’re adding more each week with the help of our open source contributors.\n* Support for Fetch and subscribing to generic webhooks for any service.\n* Add delays of up to 1 year. Workflows will resume where they left off, even if your server has gone down.\n* Observe every workflow run in the app (great for debugging).\n* Your private data is kept private – you have control over where your data is sent.\n* Our open source MIT license lets anyone self-host the platform.\n\nIt’s clear from our [launch](https://news.ycombinator.com/item?id=34610686) and customers that developers want to be creating workflows in code rather than in an unfamiliar UI. We expect this trend to continue, especially with the rise of AI code writing assistants such as Copilot and Ghostwriter. Leveraging these tools will only improve [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc) as time goes on, and make the creation of complex workflows more and more accessible to all developers.\n\n### **🙏 Our asks**\n\nIf you have a workflow you want to build and would like to try our platform - we would love to hear from you!\n\n* Try us out for free at [Trigger.dev](https://trigger.dev?utm_source=ycombinator&utm_medium=post&utm_campaign=trigger.dev&utm_id=launch.yc).\n* Book a 15 min workflow session [here.](https://cal.com/team/triggerdotdev/15-mins-about-your-automation)\n* Want to migrate an existing workflow? [Let us know.](https://cal.com/team/triggerdotdev/migration-consultation)\n\n### **⭐️ Our YC deal:**\n\n* **YC W23:** for 12 months, get unlimited workflows with 100k runs per month for free.\n* **YC Alumni:** for 6 months, get unlimited workflows with 50k runs per month for free.\n\nIf you have any questions or want to access the YC deal, please email me at [matt@trigger.dev](mailto:matt@trigger.dev).",
        "url": "https://www.ycombinator.com/launches/I6a-trigger-dev-the-developer-first-open-source-zapier-alternative",
        "votes": 51,
        "created_at": "2023-02-23T15:51:43.990Z"
      },
      {
        "id": 67467,
        "title": "🦸 API Hero: make every API you use faster and more reliable with one line of code",
        "tagline": "An open source API proxy that makes debugging and caching APIs trivial",
        "body": "**_🔥 TL;DR_** _API Hero routes API traffic you select through our edge proxy to provide caching and full visibility of requests and responses, speeding up your APIs and making debugging super easy. Check it out for free_ [_here_](https://apihero.run/)_, or schedule a call with us to help you get started_ [_here_](https://cal.com/team/apihero/request-a-demo)_._\n\nHi everyone 👋\n\nWe’re James, Matt, Eric & Dan and we’re building [API Hero](https://apihero.run). We’re on a mission to make using and working with APIs **super easy.**\n\n### **🤦 The problem**\n\nThere are two major headaches we’re tackling:\n\n* Slow APIs dramatically reduce the speed of your site, and adding caching to solve this can be hard\n* Debugging API issues is painful. You want full visibility of requests and responses so you can figure out what’s going on, during development and production (although we make production logging optional)\n\n### **🦸 With API Hero, you can:**\n\n* Monitor all your API traffic (or just the parts you want)\n* Speed up every API you use by enabling caching (this can also save you money!)\n* Get alerts when issues arise\n* Improve reliability with automatic retries\n\n### **🛠 How does API Hero work?**\n\n* Login to [API Hero](https://apihero.run/) (it’s free!)\n* Follow the simple onboarding steps – we’ll automatically populate your dashboard as soon as a request is sent\n* Configure the settings to proxy only the traffic you want\n* Sit back and watch those logs come in!\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/90670a20-df63-4740-af17-46c35e850deb)\n\n![uploaded image](/media/?type=post&id=67467&key=user_uploads/1093162/ed99841e-bcd2-411c-94ac-6298c3a28d78)\n\n### **💬 We’d love to chat to:**\n\n* Anyone suffering from API issues\n* Any company working with 3rd-party APIs or building APIs\n* Anyone who’s checked out API Hero and has feedback",
        "url": "https://www.ycombinator.com/launches/HYB-api-hero-make-every-api-you-use-faster-and-more-reliable-with-one-line-of-code",
        "votes": 29,
        "created_at": "2022-11-22T17:09:53.152Z"
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    "id": 27683,
    "name": "Versori",
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    "website": "https://www.versori.com/",
    "all_locations": "Manchester, England, United Kingdom",
    "long_description": "Orchestrate custom integrations, workflows & agents in hours, not months. Take control of your integration strategy and breathe easy with maintenance on AI Autopilot.\r\n\r\nFor Product Teams: Build better integration libraries. Build a feature-rich integration library, for your users to enjoy. Offer out-of-the-box integrations that work for you and your customers. Embedded IPaaS typically locks you into connector or endpoint limitations. Versori gives you to tools for limitless customisation. Proactive, self healing agents, scan your connected apps for endpoint or schema changes. You get alerted, Versori AI fixes the change. Embed Versori built integrations into your app with the Versori SDK. Flexible to your development approach with advanced user management.\r\n\r\nFor Operations Teams: Get your internal systems speaking the same language. Deliver integrations for new software in days, not months—so you can start unlocking value immediately. Versori’s speed to value reduces typical deployment fees by half—or more. Low code for speed. Full code for control. No more limits from inflexible integration platforms.\r\n\r\nFor GTM & Sales Teams: Say yes to any prospect's integration request. Stop bouncing between teams to get integrations built. With Versori, Sales can go straight to yes. No more escalations or delays. Versori offer fully managed custom-builds, so your customers get exactly what they need, without compromise.",
    "one_liner": "Agentic integrations & automations for enterprise",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1666106474,
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    "status": "Acquired",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 920068,
        "full_name": "Sean Brown",
        "title": "Founder",
        "founder_bio": "Previously Founder and CEO at Mercarto (eCommerce/marketplace platform - acquired) and Hatch (Influencer Platform Acquired by Social Chain AG), Sean is fanatical about building technology to provide critical business infrastructure. \n\nHis strengths lie in Product and Business Development, by merging the two results in great product that delivers best in class products that provide high value solutions to clients. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean1brown/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70365dc4555fdca3d8fb6a8d8dadd0d42615f3ad.jpg"
      },
      {
        "user_id": 1164100,
        "full_name": "Dan Jones",
        "title": "Founder",
        "founder_bio": "Dan is a CTO/Founder who loves getting stuck into code and is an advocate for all things cloud-native. With experiences in both public and private sectors, spanning industries such as Finance, Telecoms, Healthcare and Commerce, Dan has grounded himself as a versatile software engineer capable of solving complex problems in simple ways.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dan-jones25217",
        "x_url": "",
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      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Manchester start up Versori wins $500k Y-Combinator funding Prolific North",
        "url": "https://www.prolificnorth.co.uk/news/manchester-news/2022/10/manchester-start-versori-wins-500k-y-combinator-funding",
        "date": "Oct 18, 2022"
      }
    ],
    "launches": [
      {
        "id": 91368,
        "title": "Versori: Integration & workflow automation magic",
        "tagline": "Go live with integrations built with Versori AI in hours, not weeks",
        "body": "![uploaded image](/media/?type=post&id=91368&key=user_uploads/1164100/21b1f014-0560-4373-9b82-52041e7d69b8)\n\nHey YC 👋\n\nWe just rebuilt the way integrations are done.\n\nLike many of you, we’ve wrestled with the limitations of traditional iPaaS tools: rigid templates, slow development cycles, poor customisation, and too many disconnected tools. \n\nSo we decided to take a different approach.\n\n**Versori AI** is a generative AI-powered integration and automation platform that enables businesses to build, deploy, and manage custom integrations and workflows with unprecedented speed and ease. \n\nWith Versori AI, businesses can connect APIs, automate processes, and deploy powerful integrations, across legacy systems, modern SaaS tools, and everything in between. Without the heavy lift of coding or cobbling together multiple platforms.\n\n[Here’s an intro to the new platform.](https://youtu.be/BF5_oVSQnKQ?feature=shared)\n\n**Key Features:**\n\n* **Prompt to Build:** Describe your integration needs in natural language, and Versori's AI will generate a complete workflow, including connector creation, data mapping, and deployment. ​[versori.com](http://versori.com)\n* **Flexible Modes**: Use a visual low-code editor, go full-code, or let the AI take the wheel. You’re in control.\n* **Transformer Mapping**: Powered by Agentic AI, we handle complex data transformations and mappings instantly, no manual field-matching required.\n* **Enterprise-Grade Security:** Benefit from SOC 2 compliance, data encryption, isolated environments per organization, and 24/7 monitoring and support.\n\nWe’re here to redefine what’s possible with integrations. Faster builds, deeper automation, more control, with the power of generative AI behind every step.",
        "url": "https://www.ycombinator.com/launches/Nlg-versori-integration-workflow-automation-magic",
        "votes": 10,
        "created_at": "2025-06-18T04:47:50.968Z"
      },
      {
        "id": 73415,
        "title": "Versori Sparkboard: AI Integrations",
        "tagline": "Create integrations and workflows with just a prompt",
        "body": "[**Sparkboard**](https://sparkboard.versori.io/) is a prompt-based data integration and workflow automation tool. Just tell Sparkboard what you want to connect and automate and it will use generative AI agents to create a task list and get to work with those tasks.\\\n\\\n**Sparkboard will:**\\\n\\- Create a task list for agents to fulfill \\\n\\- Scrape the internet for the appropriate documentation\\\n\\- Build an OpenAPI spec with the correct auth methods and operations\\\n\\- Use [Versori](https://www.versori.com/) transformation tools to transform and map data\\\n\\- Offer full editing of the workflow with additional tools\\\n\\- Review your finished integration and publish!\n\n[Super Cool Marketing Video (please watch)](https://youtu.be/oIPXrf2088c)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/b7876f5d-4802-444f-b1db-56d8e631c262)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/59d61e64-5a49-4597-8446-225a5bcde39a)\n\n![uploaded image](/media/?type=post&id=73415&key=user_uploads/920068/1289df89-e45c-4da3-a7c3-8cccdfc29470)\n\n**Try it for free:** [**https://sparkboard.versori.io/**](https://sparkboard.versori.io/)",
        "url": "https://www.ycombinator.com/launches/J67-versori-sparkboard-ai-integrations",
        "votes": 12,
        "created_at": "2023-07-25T16:54:38.432Z"
      },
      {
        "id": 69359,
        "title": "Versori - System & data integration platform",
        "tagline": "We help enterprises connect any internal system to any external system without hiring expensive consultants.",
        "body": "**Hello YC!** 👋\n\nAwesome to be here and proud to be part of this fantastic community.\n\nWe’re Sean and Dan, the Founders of [**Versori.**](https://www.versori.com/)\n\n![uploaded image](/media/?type=post&id=69359&key=user_uploads/920068/f5ba23d6-ef01-4adc-ac46-181a9a2236d9)\n\n### **The Problem 😫**\n\nThe enterprise integration market is controlled by traditional system integrators (Accenture, Cognizant, Capgemini etc), who charge for professional services and manual development.\n\nTime, money and resource is wasted on manual system and data integrations. Complex iPaaS solutions aren’t easy, and easy iPaaS solutions aren’t complex.\n\n### **The Solution 😊**\n\nVersori “Switchboard” is a no-code system and data integration platform, primarily for major retailers that lets them connect any internal system to any external system without hiring expensive consultants. \n\nFor example, Sephora used Versori to build an integration that imports 3rd party brand products into its own ecommerce site in a few clicks. Reducing integration time from 9 weeks to 2 hours.\n\n[Here’s an intro video](https://www.youtube.com/watch?v=d7T1z3nxoD0&t=3s&ab_channel=Versori)\n\n**Create data sources (connectors) in seconds, not weeks.**\n\n* Drag and drop or paste the URL to your API specs\n* Switchboard strips and stores the auth and server types, end points, operations and schemas.\n\n**Build complex and advanced integrations with no-code tools**\n\n* **_Transformer_** provides functionality to take data from multiple sources into a format suited for your target, with all the features you’d expect such as filtering, converting and mapping.\n* **_Selectors_** gives you access to any data from all previous steps in your board, allowing you to perform complex tasks such as merging or flow-control.\n* **_Data Mapping_** allows you to define mappings where some value in one system is equivalent to another value in another system. These can be defined up front in our dashboard, or interactively updated within your board.\n* **_Filter_** allows you to stop or continue execution of a workflow based on a set of conditions. These conditions can be as simple or as complex as your data requires, and can be combined with Selectors to compare data from multiple workflow steps.\n* **_Delay_** halts execution of the current message until a predefined duration has elapsed.\n* **_Batch_** aggregates all data received over a specified batch period before releasing the result to subsequent steps and is useful when integrating real-time APIs with bulk import/export APIs.\n* **_Trigger_** allows a board to be triggered manually or via a schedule instead of via an external API call\n* **_CSV Processing_** allows you to truncate, join and deduplicate CSV files\n* **_Splitter_** takes in an array and outputs multiple new messages for each element in that array\n\n**Deploy integrations and workflows your way**\n\n* Public Cloud\n* Private Cloud\n* On Prem\n* SDK\n\n### **We can integrate your systems, that Zapier can’t.. ⚡️**\n\nYou need the break free from the static guard rails of existing integration platforms!\n\nIf your company has bespoke system or data integration requirements, that can’t be done with an existing IPaaS provider, please reach out to us at [sales@versori.io](mailto:sales@versori.io). We would love to give you a demo!\n\n### **The Deal 🤑**\n\nFor all YC Alum, the first 10,000 data messages are on the house!",
        "url": "https://www.ycombinator.com/launches/I2h-versori-system-data-integration-platform",
        "votes": 132,
        "created_at": "2023-02-16T17:19:59.571Z"
      }
    ]
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  {
    "id": 27685,
    "name": "Syncly",
    "slug": "syncly",
    "former_names": [
      "Deep BlueDot"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a79c1285a2d784965cac2f7d6a820ded7c6499f2.png",
    "website": "https://syncly.app/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Syncly co-founders (former founders of Sualab, a video AI startup, $200M exit) are building agentic AI to automate video marketing for the world’s largest CPG brands (Tiffany, Clorox), a market where brands spend hundreds of billions on agencies today. At $2.1M ARR, grown 2x in 6 months, 4x in 12 months, and 142% NDR. Backed by YC, SoftBank, and John Kim (Sendbird CEO).",
    "one_liner": "Social listening for the video era",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1670314629,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Social Media",
      "Marketing"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/syncly",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/syncly.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/synclyhq/",
    "x_url": "https://x.com/synclyhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a79c1285a2d784965cac2f7d6a820ded7c6499f2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 971454,
        "full_name": "Joseph Lee",
        "title": "Founder",
        "founder_bio": "CEO @ Syncly (W23) | HBS '21 ",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/josephdhlee",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75a88e5da60f459d1d0d88876593bd0988f7b1fd.jpg"
      },
      {
        "user_id": 1014854,
        "full_name": "Jongsoo Keum",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jongsookeum/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4edb4d83cf204a264378180dea87ba45ceb86c14.jpg"
      },
      {
        "user_id": 1014883,
        "full_name": "Kwan Yoon",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "www.linkedin.com/in/kwanwoo-yoon-7b2828219",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bddfc0c7d8a9afa4cb83f00047022ebb3c31d27.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Syncly raises $3.3m to help cx teams transform customer feedback into actionable insight at scale - Syncly - Customer insights  on autopilot",
        "url": "https://syncly.app/blog/syncly-secures-3m-in-seed-funding",
        "date": "Nov 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 99264,
        "title": "Syncly Social  - Find Creators by What's Actually in Their Content",
        "tagline": "AI-powered creator discovery that searches inside videos, not just profiles",
        "body": "Hey YC! 👋\n\nI'm Joseph, co-founder of[ Syncly](https://syncly.app/social?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) - we're building an AI social listening tool. Today, we're launching **Creator Discovery**, a new way for brands and agencies to find the right influencers by analyzing what's actually inside their content.\n\n# **TL;DR:**\n\n* 🎯 Describe your ideal creator in plain English – Syncly finds them by analyzing video content, not just profiles\n* 🔍 Search by visual aesthetic, storytelling style, spoken mentions, and more - things no filter can capture\n* 🚀 Discover organic brand advocates who mention you without tags or hashtags\n* ⚡ What used to take hours of manual scrolling now takes seconds\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/b5ed5c9d-8ded-464c-b93f-ff4ce144df33)\n\n**Ask:** If you run influencer marketing at a brand or agency,[ try it free](https://social.syncly.app/login?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) and tell us what you think. We'd love your feedback.\n\n**Offer:** Book a demo through Launch YC, and we'll include a personalized social listening audit alongside your creator discovery walkthrough →[ Book a demo](https://syncly.app/demo?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery)\n\n<https://youtu.be/7d10K1GN3S8?si=Oyb3cKVln2etPi6K> \n\n---\n\n# **❌ The Problem**\n\nInfluencer marketing is no longer a nice-to-have - it's a core growth channel. But finding the right creators is still painfully manual.\n\nThe current process looks like this: you open a platform, set some filters (follower count, category, location), scroll through hundreds of profiles, and then manually watch their content to figure out if they're actually a good fit. Does their aesthetic match our brand? Have they worked with competitors? Do they tell stories in a way that resonates with our audience?\n\nThese are the questions that matter most, and none of them show up in metadata.\n\nTraditional discovery tools search profiles. They can tell you a creator has 50K followers in the beauty category. But they can't tell you whether that creator films in a warm, cozy bedroom aesthetic or a bright studio setup. They can't tell you that a creator mentioned your competitor's product in a GRWM last Tuesday, without a hashtag or tag.\n\n---\n\n# **🛠 How Syncly Solves This**\n\nSyncly Social analyzes what's actually happening inside the content – every frame, every word, every sound. Instead of filtering by metadata, you describe what you're looking for in natural language, and Syncly finds creators whose content matches.\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/5f564bfa-9007-4d33-8a16-a08eef2493ae)\n\n### Here's what you can search by:\n\n* **Visual mood & aesthetic** - \"clean minimal apartment with natural lighting\"\n* **Creator persona** - \"fitness-forward creator, athletic build, gym setting\"\n* **Content format** - \"GRWM morning routine\" or \"before-and-after transformation\"\n* **Spoken mentions** - find creators who organically mention your brand in their videos, no tags required\n* **Storytelling style** - conversational, educational, high-energy, or laid-back\n* This means you can find creators that genuinely fit your brand's identity - not just creators who check the right demographic boxes. And because you never have to watch a single video yourself, it scales.\n\n---\n\n# **🏢 Who This Is For**\n\n![uploaded image](/media/?type=post&id=99264&key=user_uploads/971454/38e3c357-5fb2-4172-97e7-85fc6eba9532)\n\n**Brand marketers:** Find creators who match your brand's specific criteria - visual style, tone, values - without spending hours on manual research. Just describe what you want and get results.\n\n**Agencies:** Turn vague client briefs into concrete creator shortlists. Discover rising creators early and deliver them to clients before anyone else does.\n\n---\n\n# **🚀 Try It Now**\n\nCreator Discovery on Syncly Social is live and free to try:\n\n👉[ **Start your free trial**](https://social.syncly.app/login?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery)\n\nIf you want a personalized walkthrough or want to see how it works for your specific use case:\n\n👉[ **Book a demo**](https://syncly.app/demo?utm_source=launchyc&utm_medium=post&utm_campaign=influencer-discovery) - book a demo through this link, and we'll include a social listening audit + personalized creator discovery session.",
        "url": "https://www.ycombinator.com/launches/Pp2-syncly-social-find-creators-by-what-s-actually-in-their-content",
        "votes": 11,
        "created_at": "2026-04-01T05:33:08.094Z"
      },
      {
        "id": 93013,
        "title": "Syncly Social - AI social listening for video",
        "tagline": "The first social listening platform for the video era",
        "body": "# **TL;DR:**\n\nSyncly Social - AI Social listening platform for Videos like TikTok, Reels, etc. We’re trusted by leading brands, such as Brita, Logitech, adn Laura Geller.\n\n![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/300cd2ad-0740-4e0f-8d9b-4beb5f2a7ce5)\n\n# **Challenges of Social listening 1.0:** Limited to text-based social media contents.\n\n* In today’s world where video dominates, this is no longer valid.\n* Unable to analyze what’s being said or shown, or gather demographic intelligence on creators.\n\n# **What you can do with Syncly social (Social listening 2.0)**\n\n* **Competitive Analysis**: Decode the video strategies driving your rivals' success. Outsmart your competition with data-driven social campaigns.\n\n  ![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/10cf6f9b-6296-4899-b365-205da5b00456)\n\n* **Brand Perception**: Measure how well your brand is landing with your customers. Instantly identify the gap between your intention and customer perception, then close it with data-driven, timely action.\n* **Influencer Discovery**: Uncover and partner with influencers who truly resonate with your brand. Amplify your brand's reach with authentic voices that drive engagement.\n\n  ![uploaded image](/media/?type=post&id=93013&key=user_uploads/971454/d1db78fb-a26a-420c-9555-eed8191dda65)\n\n\n# **How do I get started?**\n\nIf you’re interested in learning more use cases how leading brands achieves competitive advantage through Syncly social, book a demo [HERE](https://syncly.app/demo-social-yc).",
        "url": "https://www.ycombinator.com/launches/OCD-syncly-social-ai-social-listening-for-video",
        "votes": 23,
        "created_at": "2025-08-14T23:52:42.170Z"
      },
      {
        "id": 87956,
        "title": "Syncly Social - AI social listening platform for modern brands",
        "tagline": "970K+ Mentions, 10+ Social Platforms, 1 Breakthrough Solution.",
        "body": "Introducing [Syncly Social](https://www.syncly.app) - AI social listening platform for modern brands. We aggregate reviews, posts, and conversations from socials and e-commerce (Amazon, Instagram, Reddit, retailer-specific reviews, and many more) for market, competitor, and consumer intelligence, and provide actionable insights, faster and more accurate than ever.\n\n![uploaded image](/media/?type=post&id=87956&key=user_uploads/971454/f0894f43-dfd0-4b93-bb57-828ad0328971)\n\n# **Challenges of Social listening platform 1.0**\n\n**High volume of Noise data:** Legacy platforms rely on simple keyword queries to gather data. The problems are:\n\n* **Time-consuming**: Takes up to a couple of months to setup, repetitively.\n* **Less than 10% data is relevant:** For example, product names or sub-brands with generic or common imagery (like Discover and United) can lead to irrelevant content being collected.\n\n**Lack of Granularity in Analysis:**\n\n* Let’s say \"picture quality\" may be frequently mentioned for mobile brand. So what? To translate that into specific product or marketing insights, the insight should be more granular, but what you can get from legacy platform is the summary, at most, like “_People generally praise the picture quality on Samsung phones, particularly on their high-end models.”_\n\n**One-Dimensional Sentiment Analysis:** Traditional sentiment analysis often fails to capture the full context, especially when posts contain mixed emotions.\n\n* For example, a review that says, \"It’s not as bright as {product name}\" might seem negative, but since {product name} is a brand’s another product, it isn’t necessarily a critique of the brand as a whole. This inaccuracy complicates efforts to identify precise product improvements or refine marketing messages.\n\n# **Why we need Social listening platform 2.0 - Syncly social**\n\n![uploaded image](/media/?type=post&id=87956&key=user_uploads/971454/daffa167-4b77-47ae-8b0a-edf4809e5be5)\n\n* **⚡️ 90% Faster Setup:** Forget tedious keyword lists of what to include and exclude that often take up to a couple of months🤯. Syncly's AI automatically filters irrelevant chatter.\n* **🎯 Hyper-Targeted Insights:** Brands went _beyond_ basic sentiment to identify specific product issues and opportunities.\n* **😊 Nuanced Sentiment Analysis:** Syncly pinpointed _exactly_ which features customers loved (or hated) with aspect-based analysis.\n* **🌎 Language Agnostic Brand Tracking:** Global consumer brands, like LG Electronics, could track brand mentions in different languages without needing to translate keywords.\n\n# **Impact**\n\nInsights that once took **months** now surface in just **days**, enabling your brand to refine products, optimize marketing, and stay ahead of competitors, fast.\n\n# **Learn more use case**\n\nIf you’re interested in learning more use cases how Modern brands achieve competitive advantage through social listening, [schedule a demo](https://www.syncly.app/demo) with me.",
        "url": "https://www.ycombinator.com/launches/Mse-syncly-social-ai-social-listening-platform-for-modern-brands",
        "votes": 38,
        "created_at": "2025-02-24T18:23:58.940Z"
      },
      {
        "id": 81714,
        "title": "Syncly - Get product insights from everyday customer communication for fast-growing companies",
        "tagline": "Bringing AI to help CX and Product team to understand customer issues before they churn.",
        "body": "[Syncly](https://syncly.app/) is an AI customer feedback analysis platform. I know you are running a customer-driven product. But do you understand in detail what’s driving negative customer sentiment and what needs to be done to elevate the experience?\n\nHere’s how Syncly helps top B2C companies like:\n\n* **Logitech, Boundless, Gamma,** and many others\n\nand fast-growing YC companies like:\n\n* **Speak**, **Ello**, **Navattic**, and many others.\n\n# **The Challenge: Do you know what’s driving negative customer experiences on your product and how to address them?**\n\nIt’s difficult to get visibility into the user sentiment trends and what can be done to elevate customer experience from a product perspective. Even when you get it, it’s not actionable. Why?\n\n* **Product insight is not granular enough:** unable to pinpoint customers/customer groups at risk and understand the details of their issues on your product.\n* **It takes loads of manual effort** to read and analyze customer feedback data. By the time you have it, it’s too late. Tagging provides stats but no story.\n* **Scattered data sources:** Difficult to aggregate various customer touch points (i.e., Zendesk, Intercom, Front, [gong.io](http://gong.io), Slack, Discord, reviews, and many others)\n\n# **The Solution: Syncly AI surfaces trending/urgent product** **issues automatically, based on all your customer touch points. Syncly does it with minimal effort from users and provides a granular level of insight on a customer level.**\n\n* With [**Smart Insight**](https://www.youtube.com/watch?v=HsoTigJI9F4), identify the most critical product gaps and issues that hinder customer experience without having to read all customer interactions across multiple channels (Zendesk, Intercom, gong.io, Front, Slack, Discord, reviews, and others).\n* Ask **Syncly AI** to pinpoint the positive and negative sentiment drivers and get instant action items to elevate the customer experience.\n* With **Customers AI**, monitor sentiment trends by account and individual user, to proactively engage with customers with underlying issues before they become at-risk.\n\n  ![](https://framerusercontent.com/images/uTiFzlfEY2imgMwq5c8r1XDKCrE.png)\n\n\n### Learn more use cases\n\nIf you’re interested in learning more use cases and getting a free trial:\n\n* [**schedule a call**](https://www.syncly.app/demo) with Co-Founders at Syncly!",
        "url": "https://www.ycombinator.com/launches/LFy-syncly-get-product-insights-from-everyday-customer-communication-for-fast-growing-companies",
        "votes": 174,
        "created_at": "2024-06-24T19:17:19.745Z"
      },
      {
        "id": 69973,
        "title": "🚀 Syncly — AI customer feedback analytics that drives retention",
        "tagline": "Syncly enables Revenue teams to better understand customer insights to drive retention and team productivity. ",
        "body": "Hey, We are Joseph, Kwan, Jongsoo from [Syncly](https://www.syncly.app) (YC W23).\n\nOur team founded and sold an AI startup for $200M, and decided to bring our technology to help Revenue team drive retention by delivering the right value for customers.\n\n### **TL;DR**\n\nSyncly uses AI and Chat-GPT to enable Revenue teams to better understand customer insights to drive retention and team productivity.\n\n### **The Challenge**\n\n* **Manual tagging and insights:** Your revenue team wants to understand the most impactful product or operational feedback, but the team spend a lot of time manually aggregating and analyzing. As a result, you come to learn what had gone wrong _AFTER_ the damage.\n* **Measuring team efficiency**: Hard to track most of what problems your Revenue team is doing, but seems your team is doing a lot. Currently, done by 1-on-1 meetings or manual tagging, which is not scalable.\n* **Post-action impact:** Hard to measure how customer feedback has changed after certain actions.\n\n### **The Solution**\n\n* **Automating feedback insight:** Syncly finds urgent and impactful customer issues. Your team can proactively engage with customers _BEFORE_ the damage.\n* **Boosting team efficiency:** Spread best practices within the organization to help Account managers, Customer success & support managers focus on delivering more value to the customer.\n* **Post-action visibility:** By monitoring customer feedback trend, you can measure the impact of each release and action.\n\n\\*Syncly’s integrations include **Intercom, Slack, Salesforce**, and other customer communication platforms.\n\n![uploaded image](/media/?type=post&id=69973&key=user_uploads/971454/777aa42c-a17a-40a9-8418-feaf2f342c4d)\n\n![uploaded image](/media/?type=post&id=69973&key=user_uploads/971454/ab5abf25-c974-4eed-8e29-1f07e7bff28c)\n\n### **Our Asks**\n\n* If you wanted to get as many actional insights from your customers feedback, schedule a call with us here: [https://www.syncly.app](https://www.syncly.app/) (Click “Book a Demo”)\n* Feel free to shoot me an email at [joseph@deepbluedot.io](mailto:joseph@deepbluedot.io) if you want to chat more.",
        "url": "https://www.ycombinator.com/launches/ICb-syncly-ai-customer-feedback-analytics-that-drives-retention",
        "votes": 138,
        "created_at": "2023-03-06T19:49:55.810Z"
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        "id": 78159,
        "title": "AlertOps Slack Bot by Doctor Droid — Identify poorly configured and noisy alerts",
        "tagline": "Add the bot to a channel and instantly receive reports about poorly configured and noisy alerts",
        "body": "Hello everyone! At [Doctor Droid](https://drdroid.io/), we’re launching AlertOps Bot today.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/26f4c64e-4079-4ed5-8085-4d03726a9035)\n\n**TL;DR** Add the bot to a channel and instantly receive reports about poorly configured and noisy alerts in the channel over the last 1 month / 3 months / 6 months. [**Signup URL.**](https://drdroid.io/)\n\n**Context:** We built this tool for engineering teams that are too busy, have a bit of alert fatigue, and want to reduce the noise.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/c433733b-d223-49dc-8437-f04e97e79c8c)\n\nToday, doing it requires manual time and energy.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/ab732135-c51b-496b-95db-3eefbab32e7b)\n\nWe have designed the bot such that the entire analysis now is presented to the engineers in seconds after adding the #Slack Bot.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/3b676a72-3eae-444c-a025-6d9209b9c4e2)\n\nThe bot provides immediate analysis of noisy alerts and insights around alerts that buzz too often.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/7028dd5e-2937-48da-b729-ab5b41aaf466)\n\nWe also extract other key tags from the strings. (like service_names, db_name, etc.). This helps do faster drill-downs of noise.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/e837fc17-e5d4-4bf6-9648-6482dfe1b809)\n\nOur users include engineering teams at startups of all sizes and scales — from seed stage to unicorns.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/2ed51997-a5b2-40d0-a930-ad20c09721c8)\n\nTo get started, just [**sign up** on our](https://drdroid.io/) website and install the bot.\n\n![uploaded image](/media/?type=post&id=78159&key=user_uploads/1073547/c2206d71-88f5-40d4-a38c-fc6a4203d9e0)\n\nIf you have any specific comments or feedback to share, just let us know! ([**founders@drdroid.io**](mailto:founders@drdroid.io))",
        "url": "https://www.ycombinator.com/launches/KKd-alertops-slack-bot-by-doctor-droid-identify-poorly-configured-and-noisy-alerts",
        "votes": 10,
        "created_at": "2024-02-05T16:26:00.463Z"
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        "id": 69760,
        "title": "Doctor Droid: Proactively detect issues before it impacts your customers",
        "tagline": "Monitor critical paths spanning across APIs, webhooks, cron jobs and lambda functions",
        "body": "Hello everyone, Sid & Dipesh here from Doctor Droid!\n\nTl;dr: We help engineers track complex backend workflows that cannot be seen with just a single trace. Our stateful alerting system proactively looks for “missing states”, which means you’ll be alerted even when a certain task or event does not take place.\n\n### Our Story\n\nDipesh & I are tinkerers who love to build products, and build them fast. Dipesh made a game one weekend that snowballed, and [then got acquired](https://www.linkedin.com/pulse/us-based-gaming-company-acquires-wordhurdle-dipesh-mittal/). I made a [volunteering website during COVID](https://mgiep.unesco.org/article/india-covidsos-online-volunteer-platform-wins-un-solidarity-award) to enable people to help others in their neighbourhood. These are apart from our full-time jobs, building products at Shadowfax - India’s leading last-mile delivery startup.\n\n![uploaded image](/media/?type=post&id=69760&key=user_uploads/1073547/55de2e46-57ef-4d85-97d3-6df1c76a3562)\n\nAs engineers, we were used to being called on-call when something broke, even though most of the times it wasn’t our code that actually caused the issue.\n\n### **_The Problem_**\n\nWe had multiple critical products where monitoring the functioning of these products was not just about APIs because:\n\n* A business use-case, when scattered across different APIs and batch processes, simply can't be connected together and viewed as a single flow to help find the leakage point\n* You can only query and search over events/logs as individual data points, so I can't setup monitoring over deviations from my planned path for the user or an algorithm\n* You cannot see a miniature / filtered version of your business behaviour and see irregularities in real-time\n* The more properties you add in your events, the costlier storing and querying that data becomes\n\nWith Doctor Droid, we are making it super easy to detect and troubleshoot these complex products.\n\n### **_How Doctor Droid Helps:_**\n\nDoctor Droid gives you real-time visibility of how your products are performing, so you know where to intervene:\n\n* **Workflow visualisation** of the critical product paths - easily detect steps of failure and monitor the data passing at each step\n* Setup **stateful alerts** that span across multiple events\n* Create **custom metrics** using the attributes directly or as an expression (without cardinality constraints)\n* **Investigate** issues at a order, transaction or user level\n* Setup automated actions (JIRA ticket, custom scripts) for known issues\n\n![uploaded image](/media/?type=post&id=69760&key=user_uploads/1073547/9a0c9d88-f144-4b7b-b056-0337bf0145bd)\n\nWe have a simple SDK to ingest events (similar to your logging library), our documentation is available [here.](https://docs.drdroid.io/v2.0/docs)\n\n### **_Try now -_** We are in private beta and are giving 100k events/month complimentary for first 100 beta sign ups (apart from personalised support to help detect issues faster for your business). Request access on our website to access our product or write to us at [founders@drdroid.io](mailto:founders@drdroid.io)",
        "url": "https://www.ycombinator.com/launches/I9A-doctor-droid-proactively-detect-issues-before-it-impacts-your-customers",
        "votes": 52,
        "created_at": "2023-02-28T17:13:07.152Z"
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        "title": "🐦 Pigeon - Document collection made easy, organized and secure",
        "tagline": "DocuSign for document collection",
        "body": "**💥TL;DR** We’re building DocuSign for document collection where clients can upload documents into a secure, interactive checklist without creating an account.\n\n👋 Hi everyone, we're [Adam B](https://www.linkedin.com/in/adam-bulow/) and [Adam S](https://www.linkedin.com/in/adamsharf/) – and we’re really excited to launch [Pigeon](https://www.pigeondocuments.com/)!\\\n[Adam B](https://www.linkedin.com/in/adam-bulow/) - CEO | ex-Google Data Scientist\\\n[Adam S](https://www.linkedin.com/in/adamsharf/) -  COO | ex-Harvard Law School\n\n**😩 The Problem:** Businesses need to collect documents from clients, but the process is often disorganized, time-consuming and insecure.\n\nTo collect documents securely businesses have to either 1) set up clunky client portals with accounts for each of their clients, or 2) create Dropbox/Box folders for each request and email their clients links to an empty folder with a list of what to upload. Both of these methods are a pain for clients, inefficient for the firm, and a nightmare to keep track of.\n\nFirms also have to send out burdensome follow up emails to remind clients to upload their documents, and sift through poorly named and unorganized files to make sense of what their clients sent them.\n\n**🥳 Our Solution**\n\n[Pigeon](https://www.pigeondocuments.com/) is a web platform where you can send itemized request checklists to your clients’ emails so they know exactly which documents you need, clients can securely upload documents into the checklist without needing an account, and you can track and manage all of your requests in an organized dashboard. Pigeon will also send automatic reminder emails to your clients to make sure they submit their documents on time.\n\n**🧐 Take a look** \n\n1. Create a checklist (or load your template)\n\n   ![](https://lh3.googleusercontent.com/boccN9-mRovGWU_Wuqi5G6BYp3VRXY29--x-Dh3kIIRRyhzxuS3DU_ySDYYWhsT9-aZLVJr6CFDM8G6BOrO9hNRgfk0o6feY72_JdzzAw7hccO9NXYADd_auDutby0-LEATGeq4ZD2pVpyl0T4PDhM0)\n\n2. Send it right to their inbox\n\n   ![](https://lh3.googleusercontent.com/1OHnD9sucogc4o8ifg8lVaT_gqXWvCU0LVCQPXJqslq2sX-UieRs8sdqBM2ezFq7PdY4hIKyTN8Qls29Rb3yxdebkkBtgw2uhEVHix3Sn2RXQzq8r8mnC3Fbh1YBkJCgeoTSsW2_4KAKFcNm3GaJMQo)\n\n3. Clients upload documents into a clear, organized checklist\n\n   ![](https://lh6.googleusercontent.com/rQ1CMFwfNeSgig0P0FYwirmfWQ_OudDXZfuDXoplMUS6mZlrd-QG3VA5Bx76DjFA5gW4xd8ux-LrepY8yg3IzdxDy1D7RlRvVV_Jq3j-mTs0CuTrqYCoTiXiIAHDVfSo35vWsmq3l7Zu4m2Nn60ijd8)\n\n4. Track all of your requests in an organized dashboard\n\n   ![](https://lh3.googleusercontent.com/bpEl-IZ8c5Lkb690m1MCXdHJwhNQO6j-UqbZqQx-DF77tTdNg2jGCebERffLv15XJ8xnLwLCdlJ8t22fQtUGfHvUS0t7Mm4n8meh-N-XeshvsTL5kWSjwj5Xta1JwMI1fm2x5WARcDfo9QYqte1pydc)\n\n\nWe also have a host of other useful features including a Microsoft Outlook plug-in, verify/reject, and custom company branding.\n\n**Give Pigeon a try**\n\n✅ **Investors**, use Pigeon to track your due diligence document request process and send out request lists\n\n**💯 Accountants, Fund Administrators, Insurance Brokers, and Claims Processors** use us to keep track of all the documents you’re collecting from clients\n\n😊 **Everyone else** give Pigeon a try or connect us to anyone you think might be interested!\n\nFeel free to book a demo [here](https://calendly.com/adam-sharf/30min?month=2023-02) or sign up for our free trial at [www.pigeondocuments.com](http://www.pigeondocuments.com)!",
        "url": "https://www.ycombinator.com/launches/I4B-pigeon-document-collection-made-easy-organized-and-secure",
        "votes": 32,
        "created_at": "2023-02-20T20:03:13.347Z"
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    "long_description": "Novelcare addresses the primary bottleneck in drug development: recruiting patients into clinical trials.\r\n\r\nWe analyze electronic health records to help doctors find clinical trials for their patients, and to help trial sites find patients for their studies. 72% of doctors want to inform their patients of clinical trials, but only 5% do. We're on a mission to close that gap, ultimately bringing safer, more effective drugs to the patients who need them.",
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If we succeed, we will dramatically accelerate the pace and reduce the cost-risk profile of drug development. Our loved ones will have better treatment options available when they inevitably need them."
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        "full_name": "Ethan Bond",
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        "founder_bio": "Ethan is the co-founder and CEO of SelectIQ. Prior to SelectIQ, Ethan was a product strategist at Palantir where he led product development into multiple new verticals, most recently helping to build Palantir's nascent life sciences division. Ethan is a product designer and software engineer by training, having *almost* graduated from Rensselaer Polytechnic Institute.",
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        "full_name": "Jason Marmon",
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        "founder_bio": "Jason is the co-founder and CTO of SelectIQ.\n\nPrior to SelectIQ, Jason worked at Palantir on life sciences software and led Palantir's Data Governance product team. Previously, he co-founded Skylight, an NYC real estate app acquired by Common Living. He's also a 2015 Thiel Fellow.",
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    "long_description": "Lume speeds up customer implementation with AI. Lume helps teams analyze, map, and ingest customer data up to 87% faster, accelerating time-to-revenue.",
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675974530,
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    "cb_url": "https://www.crunchbase.com/organization/lume-ee1a",
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        "user_id": 1157038,
        "full_name": "Robert Ross",
        "title": "Founder",
        "founder_bio": "Co-Founder of Lume (W23) || Stanford CS ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robertross04",
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        "user_id": 1159508,
        "full_name": "Nicolas Machado",
        "title": "Founder",
        "founder_bio": "Co-Founder of Lume (W23), Stanford AI, Brazilian.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/machado-nicolas",
        "x_url": "https://twitter.com/machado___nic",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9c71f39931d9c5a32bd9eafa8eb0f2fbf504d6f.jpg"
      },
      {
        "user_id": 1141304,
        "full_name": "Nebyou Zewde",
        "title": "Founder",
        "founder_bio": "Co-Founder of Lume, Stanford CS AI, Ethiopian ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nebyou-zewde-b6ba02157/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea4b965b24c80d662cb2560764c500023276586c.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "General Catalyst and Khosla Ventures back data mapping startup Lume | TechCrunch",
        "url": "https://techcrunch.com/2024/11/12/general-catalyst-and-khosla-ventures-back-data-mapping-startup-lume/",
        "date": "Nov 12, 2024"
      }
    ],
    "launches": [
      {
        "id": 81770,
        "title": "Lume: Automate data mappings using AI",
        "tagline": "Ingest client data, normalize data from different sources, and build data pipelines, automatically.",
        "body": "**TL;DR**\n\nLume helps teams map data between systems with AI. If your team spends time mapping data for customer data onboarding, data normalization between systems, or mapping for data integrations, we can help! Please go to our [website and sign up](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_24) for a free trial.\n\n—-\n\nHi everyone! We are Nicolas, Nebyou, and Robert, the founders of Lume. We are on a mission to automate the painstakingly manual process of data mapping, after experiencing this frustration as engineers ourselves. We have onboarded several customers who are growing and are excited to help more teams use AI in their data mapping workflows.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/77b12bac-08ae-40df-9984-f0cbc0f10c1d)\n\n**🧨 Problem**\n\nThe usual mapping process involves a labor-intensive cycle: analyzing data to determine what's relevant, selecting the appropriate properties, developing the mapping logic, and constantly updating mappers to accommodate schema changes in source or target systems. This process, we learned, takes days, weeks, or even months for most teams, and automating it has traditionally been borderline impossible due to unique differences in data.\n\n**✨ Solution**\n\nLume uses AI to automatically map data between any start and end schema, whether it is customer data, external sources, or anything else. Lume provides this via an API and a no-code platform where you can generate mapping logic, review and edit it, and manage multiple data pipelines. Whether you want to onboard customer data, normalize data from multiple sources, or create auto-mapping UIs over Lume, Lume delivers. With automated transformations and data delivery, error and type checking, auto-maintenance with schema inference, and execution via an API or a no-code App for different use cases, teams can spend more time delivering their core value to customers instead of wrangling and manually mapping data.\n\n**🚀 Key Features**\n\n* ✨ Generate mapping logic in seconds: via our API or the Lume app, simply pass in a sample of your source data and a target format, and Lume will generate the mappings.\n* 🛠️ Edit mapping logic: review and edit the mapping logic and mapped data as needed to ensure you have the desired outcome. Leverage tools ranging from natural language all the way to full code edits to edit the mappers quickly and easily.\n* ✅ Deploy mappers: Use the mappers deterministically in your code via our API or the app, allowing you to reliably move data between schemas as you scale your data pipelines.\n* 🤖 Auto-maintain mappers: Lume detects changes in your schemas, notifying you and allowing you to use AI to update the mapping logic, effectively automating your maintenance.\n* 📊 Manage and organize mappers: use Lume’s dashboard to have visibility over all of your mappers and live data pipelines.\n* 📑 Handle any format: Lume supports JSON, CSV, XLS, PDF, and other formats! You can move data through the API or the app.\n* 🔮 Upcoming: adding custom logic with lambda functions, custom validation rules, python SDK, transferring your existing mappings when migrating to Lume, and more.\n\n**⚙️ How it works**\n\n* To create mappers: specify your target structure and provide a sample of source data. This can be done via the Lume API or the Lume Platform.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/d27fd09d-3943-4748-817a-cb16a4b5952a)\n\n* ✨ Lume’s AI system creates the mappings between any two schemas, ranging from simple 1-1 mappings, time-series aggregations, complex calculations, and ontology classifications.\n* Use the generated mappings and mapping logic: Use the Lume API or the Lume Platform to upload new incoming data and retrieve the corresponding output mapped data and mapping logic. Your data has just been automatically mapped with AI!\n\n  ![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/c25b7d28-9b19-49b5-b103-ad8a69ef21e7)\n\n* For creating robust data pipelines, review and edit the generated mapping logic before running production data. Once saved, you can confidently use these mappers as deterministic pipelines. This is helpful for your data integrations between systems.\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/c9f8696c-e294-4c01-b602-aa16f3635f21)\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/b2766b97-2eda-4dca-baf5-9f87ffb22d8d)\n\n* Alternatively, build on top of the Lume API to deploy your own auto-mapper UI to allow customers to self-onboard.\n\n**💡 Use Cases**\n\nLume handles three core use cases:\n\n* Onboarding Client Data\n* Normalizing Data from Multiple Sources\n* One to Many Integrations\n\nHere are three customer success stories:\n\n* For a growth-stage battery analytics company, mapping each customer’s sensor data went from 2 weeks to 1.5 hours with Lume.\n* For a large HR analytics platform, Lume mapping accuracy reached 95% for their most recent batch of integrations, saving them weeks of onboarding time for mapping and classifying data from incoming systems.\n* For an early-stage financial product startup, Lume is handling \\~500 live data pipelines that are externally facing, constantly mapping and adapting to new incoming data.\n\nAll of these have the common theme of having to map data between unique schemas, where even discrepancies as minor as column name variations make this process time-consuming and near-impossible to automate. This gets even worse at scale. Clients previously were allocating engineers, customer success teams, or offshore labor to analyze incoming data, map the data, and route it to their new systems. This process used to take up to multiple months for some teams, costing significant time and money.\n\nWe serve multiple industries ranging from ecommerce, insurance, manufacturing, and financial products.\n\n**👨‍💻Meet the Team**\n\n![uploaded image](/media/?type=post&id=81770&key=user_uploads/1159508/fe023d78-6ef6-49c3-b202-d264bc80270e)\n\nMy co-founders Nebyou Zewde (right), Robert Ross (middle), and I (left) all met during our first year at Stanford. As engineers ourselves, we’ve spent plenty of time grudgingly going over the manual task of mapping data. We quickly learned that we were not the only ones who faced this problem - most companies spend too much time on this. As AI grads, and with a fire for this problem, we built Lume AI. We are part of the Y Combinator W23 batch, and we’re excited to be launching here.\n\n**🙏 Our ask**\n\n* Sign up for a free trial to get started by [visiting our website](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_24) or [booking a call here](https://cal.com/team/lume/intro). We’ll get you on a Slack and onboarded quickly.\n* Share this with anyone who works on data mapping for customer onboarding, data normalization, or moving data between any two systems. We support a variety of use cases.\n* Upvote and share this post!\n\n**💥 The Deal**\n\nMention you saw Lume via Launch YC, and we will give you a 50% discount for your first 6 months. We also offer a free pilot.",
        "url": "https://www.ycombinator.com/launches/LGs-lume-automate-data-mappings-using-ai",
        "votes": 40,
        "created_at": "2024-06-26T17:31:22.598Z"
      },
      {
        "id": 70009,
        "title": "Lume - No-code tool to create and maintain custom data integrations",
        "tagline": "Lume uses AI to automatically transform data between any start and end schema.",
        "body": "**TL;DR**\n\nLume helps engineering teams build and maintain custom data integrations with no code. If you spend countless hours manually transforming data for custom integrations, we can help! Please go to our [website](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_23) and sign up for our private beta.\n\n—-\n\n---\n\nHi everyone! We are Nicolas, Nebyou, and Robert, the founders of Lume. We are on a mission to empower companies to focus on delivering their core value proposition rather than spending time on data integrations and transformations. \n\n![uploaded image](/media/?type=post&id=70009&key=user_uploads/1157038/0a606e9a-7357-4f36-bd06-be63bddcd635)\n\n**🧨 Problem** \n\nEngineers spend countless hours manually transforming data for custom integrations or pay large amounts to consulting firms to do the same. Dynamic schemas from different clients or apps require engineers to build and maintain custom integration pipelines one by one, and companies spend days, weeks, and even months building integrations. Lume is tackling this problem head-on. \n\n**✨ Solution**\n\nLume uses AI to automatically transform data between _any_ start and end schema and pipes the data directly to your desired destination. Lume provides this through a no-code platform where you can build and maintain your custom data integrations. Whether you want to map multiple sources to your internal unified schema or connect to your third-party apps without manual mapping, Lume delivers. With automated transformations and data delivery, backtesting and data quality checks, and version control, engineers can spend more time delivering their core value to customers instead of wrangling and manually mapping data. \n\n**⚙️ How it works**\n\n* You connect your custom schemas and authenticate into your desired apps.\n* Lume’s AI system creates the transformations between any two schemas, ranging from internal schemas to structured third-party apps.\n* Once you validate the transformed data, Lume will pipe the correct data to your specified destination.\n\nWe can connect to your data warehouse and leverage its compute to keep your data in-house.\n\n**Common Use Cases:**\n\n* Internal: Transforming separate data sources into one unified internal ontology\n  * Ex: a unified schema between Salesforce, Hubspot, Quickbooks, and Pipedrive.\n* External: Custom syncs between your SaaS apps\n  * Ex: Enrich CRM data from multiple sources before sending it to your BI tool\n* Onboarding: Mapping prospective client data to fit your product’s input schema\n  * Ex: Consulting firms mapping each new clients’ unique ERP schemas to their internal ontology on Snowflake.\n* Migration: Creating custom integration pipelines between competitor products to yours \n  * Ex: New productivity tool startup creates an “Import from Notion/Evernote” for newly converted users.\n\n**👨‍💻Meet the Team**\n\n![uploaded image](/media/?type=post&id=70009&key=user_uploads/1157038/86b2a6a9-5fb4-4300-be17-30125bdb80fa)\n\nMy co-founders Nicolas Machado (right), Nebyou Zewde (middle), and I (left) all met during our first year at Stanford, where we received our undergraduate and Master's degrees in computer science with a focus on Artificial Intelligence. With experience working at both unicorn startups and big tech companies, our team has knowledge and experience building and deploying applied machine learning systems.\n\n**🙏 Our ask**\n\n* Sign-up for our [private beta](https://www.lume.ai/?utm_source=ycombinator&utm_medium=social&utm_campaign=launch_yc_5_23) if you want to try Lume and see a demo.\n* Share this with anyone that works on custom data integrations.\n* Upvote and share this post!\n\n**💥 The Deal**\n\n**Sign-up before demo day for a 50% discount for the first year!**",
        "url": "https://www.ycombinator.com/launches/IDB-lume-no-code-tool-to-create-and-maintain-custom-data-integrations",
        "votes": 251,
        "created_at": "2023-03-07T18:12:57.774Z"
      }
    ]
  },
  {
    "id": 27698,
    "name": "Viddy",
    "slug": "viddy",
    "former_names": [],
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    "website": "https://www.viddyapp.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "A brand new way to create landing pages that's video-native. Traditional ways of building landing pages are too costly (money & time) and brands want to experiment more. Our landing pages rely on video content to do the heavy lifting from a dev & design perspective.\r\n\r\n\r\nOur landing pages convert well (+15-30% across channels such as paid ads, email, and sms) and take <20min to create. This means brands can test over 10x what the currently do with Viddy.",
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        "full_name": "Harris Gani",
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        "founder_bio": "Harris is a co-founder of Viddy. He has a product and engineering background having worked at a variety of companies such as Frame.io, Pangaea Holdings, Zynga, and Sotheby's. In his free time you can likely find him playing tennis, exploring art exhibits, or shooting on his film camera.",
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        "full_name": "Nihar Patil",
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      {
        "id": 74475,
        "title": "Viddy - E-commerce video storefronts that convert paid social ads better than Shopify",
        "tagline": "We optimize DTC brands’ paid social marketing by creating fast video shopping experiences that feel like social apps.",
        "body": "Hi everyone, we’re Harris and Nihar — we’re reinventing online shopping experiences to make content the focal point so that they perform more efficiently for marketers on social platforms like Meta (Facebook & Instagram), TikTok, and Snapchat!\n\n## **📔 TL;DR**\n\nOur Video Storefronts are a new shopping experience designed specifically for paid social ads. We enable e-commerce brands to create a cohesive shopping journey from video-first social platforms to their storefronts. Using them, our customers have been able to increase return on ad spend (ROAS) by 30% and decrease CAC by 20%. As a part of this launch we’re offering 1 Month Free as outlined below in the ‘Asks’ section.\n\n## **❌ The Problem: E-commerce brands are losing marketing efficiency on paid social ads due to iOS 14**\n\nDue to iOS 14’s privacy tracking updates, e-commerce brands are facing rising customer acquisition costs (CAC) and declining ROAS on social platforms like Meta, TikTok, and SnapChat. Brands are lacking efficient and modern shopping experiences to combat this.\n\nOnline shopping hasn’t changed in 10+ years, but _where_ shoppers are discovering brands has changed dramatically. Now, shoppers are discovering brands on social media platforms where video is the main medium. This preferred medium of video is completely lost when a shopper arrives on a Shopify website from social media - a pretty large disconnect.\n\nBuilding shoppable video experiences that feel as snappy as an app in the browser isn’t something Shopify and other site builders support. This limits brands to testing simple things like copy changes and different hero images on their websites…things that don’t really move the needle from a core metrics perspective (CAC, ROAS, conversion rate, etc.)\n\n## **🎉 The Solution: Shopping experiences native to social media**\n\nOur Video Storefronts enable a new shopping experience that is native to the video-first medium of social media. Brands have success using our Video Storefronts as the landing pages for their paid social ads.\n\nBrands can create as many Video Storefront links as they’d like so they can create a storefront per product, per video, per ad campaign, per you name it! This lets brands curate each experience for the shopper and ultimately create a more cohesive end-to-end shopping experience.\n\n![uploaded image](/media/?type=post&id=74475&key=user_uploads/1164333/178bda56-a114-4b9b-921a-0d60da5ef58c)\n\n## **⚙️ How it works**\n\nUsing our Video Storefronts is very straightforward. Since we don’t touch a brand’s actual website and host everything ourselves on your subdomain, we actually require zero engineering resources to get live!\n\nAll we need from a brand to create a Video Storefront link is (1) a video and (2) a products list to feature in the storefront. It usually takes brands <1 day to get their first Video Storefront live. Once a brand has their storefront link, they can drop it in their social ads manager platforms to be the landing page for existing ad campaigns. This lets brands monitor results using tools they are already familiar with.\n\n![uploaded image](/media/?type=post&id=74475&key=user_uploads/1164333/efda7308-5465-48bc-a5a8-8fb7b5773bdb)\n\n## **📈 What results can you expect?**\n\nWe work with 7-figure and 8-figure revenue brands and have increased their ROAS by 30% and decreased their CAC by 20% by using our Video Storefronts. We are constantly A/B testing improvements on our shopping experience (the UX, layouts, interactions, etc.) and rollout the winning tests we conduct on your behalf so things are always improving 🙂.\n\n## **🙏 Asks**\n\nFor a limited time, we’re currently offering 1 Month Free of our Video Storefronts product for e-commerce brands doing at least $1M in annual revenue that [**sign up from this link**](https://www.viddyapp.io/partnerships/yc-video-storefronts-launch?utm_source=yc-launch&utm_medium=yc-launch-video-storefronts&utm_campaign=yc-launch-video-storefronts&utm_id=yc-launch-video-storefronts).",
        "url": "https://www.ycombinator.com/launches/JND-viddy-e-commerce-video-storefronts-that-convert-paid-social-ads-better-than-shopify",
        "votes": 19,
        "created_at": "2023-08-29T15:43:24.279Z"
      },
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        "id": 68494,
        "title": "🛒 Viddy - Shoppable video experiences for e-commerce",
        "tagline": "We let e-commerce brands add interactive and shoppable video experiences (think Instagram Stories and TikTok feeds) to their websites to increase personalization and conversion rate.",
        "body": "**🚀 TL;DR Short-form video is the new default medium of content consumption, but e-commerce hasn't adapted and has been static text & images for +10 years. Viddy bridges this gap by bringing familiar and interactive video UIs that are shoppable to e-commerce.**\n\nHi everyone👋 Harris and Nihar here from Viddy! We’re on a mission to change the future of online shopping.\n\n### **🚨 The Problem**\n\nConsumer behavior is shifting towards consuming more short-form vertical video (thanks to TikTok, Instagram, SnapChat, YouTube Shorts, etc.), yet e-commerce has been static text and images for over 10 years.\n\nE-commerce brands and their storefronts have struggled to adapt to this video-first trend, leading to their conversion rate and engagement consistently dropping year over year. Lower conversion rate and engagement leads to lower revenue, retention, and LTV.\n\n# \n\n### **🎯 Our Solution**\n\nWe've built familiar video UIs (such as Instagram Stories, animated carousels, swipeable TikTok feeds, among others) that can be easily embedded on an e-commerce website. See examples below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/75c857dc-99f2-43e9-9bca-7019b7908c91/img1.png)\n\nBrands can feature custom call-to-actions within videos (for example: taking a quiz, booking a demo, viewing a product page, etc.). See our mobile optimized video player in expanded view below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/054c0633-9fb3-4424-bd51-e0561c6ee71b/img2.png)\n\nEverything is configurable and customizable in terms of what videos a brand wants to use to the look & feel of our video player. See our CMS below:\n\n![](https://t20558217.p.clickup-attachments.com/t20558217/3f897964-6394-486e-8fa9-d421676c5953/image.png)\n\n**You** [**try a live demo here**](https://www.viddyapp.io/?utm_source=yc_launch_post&utm_medium=yc_launch_post&utm_campaign=yc_launch_post&utm_id=yc_launch_post#live-examples) **here** **to play around with our video experiences firsthand!**\n\n# \n\n# 🧐 **How it works**\n\n1. Upload your video assets to the Viddy CMS\n2. Add any call-to-actions you want within your videos\n3. Select which video UI you want to use (Stories, Carousel, Floating Player)\n4. Copy code embed and place on your site and voila!\n\nIt usually takes 1-2 days to get live and all our customers have seen a +10x ROI.\n\n# \n\n# **💬 Backstory: we come from e-commerce**\n\nWe come from the e-commerce industry and have led growth and experimentation of large DTC brands. We led a men's skincare brand that struggled to educate men on how to use skincare products (what does each product do, how much, how often, which order, etc.). Explaining this with video always performed better than static text, but getting people to engage with YouTube or Vimeo embeds wasn't great.\n\nWe noticed that video UIs that are on par with mobile social apps are not readily available to non-technical website managers (a growing segment with the advent of Shopify, Webflow, Wix, etc.) and we're here to fix that.\n\n# \n\n# **⚡️ Our ask**\n\n* **If you know any folks at e-commerce brands and can make a warm intro, please email us at** [**founders@viddyapp.io**](mailto:founders@viddyapp.io)\n* **Want to join the platform? You can join our waitlist** [**here**](https://www.viddyapp.io/contact?utm_source=yc_launch_post&utm_medium=yc_launch_post&utm_campaign=yc_launch_post&utm_id=yc_launch_post)**.**",
        "url": "https://www.ycombinator.com/launches/Hok-viddy-shoppable-video-experiences-for-e-commerce",
        "votes": 24,
        "created_at": "2023-01-17T17:24:25.913Z"
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        "full_name": "Matthieu Hafemeister",
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        "title": "Forward Deployed Engineer (Finance)",
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        "url": "https://www.ycombinator.com/companies/concourse/jobs/hghMmKM-member-of-technical-staff",
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    "team_size": 50,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "full_name": "Rishabh Jain",
        "title": "Founder",
        "founder_bio": "Co-founder at Latent. Repeat founder.",
        "is_active": true,
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      {
        "user_id": 860587,
        "full_name": "Sri Somasundaram",
        "title": "Founder",
        "founder_bio": "Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.",
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        "id": 60167,
        "title": "Senior Software Engineer (Full Stack)",
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        "title": "This $600 Million AI Startup Is Speeding Up Paperwork So Patients Get Drugs Faster",
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        "date": "Mar 18, 2026"
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    "id": 27701,
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    "website": "https://www.backdropagent.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Backdrop is a platform for building AI coworkers around the work you actually need done.\r\n\r\nStart with an existing coworker or create your own for almost anything. Research a market, prepare client updates, run outreach, create campaigns, analyze customer feedback, build dashboards, monitor orders, coordinate projects, test products, handle recurring admin, or build a workflow completely specific to your business.\r\n\r\nConnect the systems where the work already happens, including Slack, Gmail, Google Drive, HubSpot, Shopify, Jira, Asana, Linear, GitHub, Notion, and more. You control what each coworker can access, what it can do, and which actions need approval.\r\n\r\nBackdrop works just as well when one person wants to hand off a job to AI. But it is also built for something today’s 1:1 AI doesn’t handle well: working together.\r\n\r\nEmployees, AI coworkers, clients, and partners can collaborate in shared conversations and workflows. One agent can bring in another. Work can move between people and agents without everyone starting a new chat and rebuilding the context from scratch.\r\n\r\nBackdrop builds shared company memory from the work happening across your company. Decisions, conversations, feedback, documents, project history, and activity across connected tools can become context that people and AI coworkers can use later. A coworker can understand what happened before, another agent can build on what was already learned, and a teammate can understand why something was done without digging through old threads or systems.\r\n\r\nThe result is AI that works for an individual when that’s all you need, but can also become part of how the whole company works.\r\n\r\nBackdrop can support businesses ranging from agencies and e-commerce companies to manufacturers, service businesses, SaaS teams, and more, because you build the coworkers around your work, not a fixed template.",
    "one_liner": "Building your AI coworkers for any team, workflow, or industry. ",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1677171652,
    "tags": [
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      "B2B",
      "Enterprise Software",
      "AI"
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    "top_company": false,
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        "body": "👋 Hey everyone, we’re [Clark](https://www.linkedin.com/in/clark-jacobs-19a86665/) & [Dhanvi](https://www.linkedin.com/in/dhanvi/) from FlexDesk.\n\n**_Tl;dr:_** _Through FlexDesk, your employees can search and book from a network of 7,000+ coworking locations worldwide. For employers, FlexDesk makes it easy to create spend policies, track bookings, and streamline billing across all employees, geos, & brands._\n\n### **🥴 Problem**\n\n**1 - Search and discovery:** The coworking landscape is fragmented. Less than 65% of people live within a 50 mile radius to a WeWork location. 75% of workers have experienced it taking longer than 30 minutes to identify and book a coworking space.\n\n**2 - Spend controls and tracking:** It is currently hard to create and enforce standardized spend/booking controls. Companies have reported employees renting $400+ daily conference rooms to serve as their ‘personal office’.\n\n**3 - Payments:** Employees are currently required to pay for each booking using a credit card and submit for reimbursement. This is cumbersome for both employees and the company’s Accounting department, especially when dealing with multiple currencies.\n\n### **🔥 Solution**\n\n**1 - Booking engine:** Search and rent from a network of 7,000 coworking locations worldwide - including WeWork, Regus, and thousands of local brands.\n\n**2 - Compliance + system of record:** Create and enforce custom booking/spend policies. Track and analyze all bookings to inform and refine coworking strategy.\n\n**3 - Streamlined billing:** One bill across all employees, geos, and brands.\n\n![uploaded image](/media/?type=post&id=68615&key=user_uploads/494003/9795eb02-917f-4ec0-ba42-c3880873f753)\n\n### **💵 Bottom line impact**\n\nFlexDesk is a **win-win-win** across all major stakeholders at a company.\n\n* **For Real Estate teams:** Eliminates manual work that previously took up 15% of their workweek.\n* **For Finance teams:** Unlocks 10% savings compared to going direct with a single coworking brand. Unlocks 60%+ savings compared to a traditional lease strategy.\n* **For People teams:** Empowers employees with the freedom of choice to find a coworking space that fits their needs and within a short commute.\n\n### **🤔 Why do companies use coworking space?**\n\n* **Distributed workforce:** Hiring across the US/world, while simultaneously downsizing and even exiting office leases given low utilization + high opex.\n* **Dynamic space needs:** Established an ongoing need to support employees with space for in-person collaboration, to meet with clients, and to escape WFH.\n* **Flexible and cost-efficient:** Coworking space offers companies the flexibility to address each of these needs at a significantly lower cost than a traditional lease.\n\n**Enter FlexDesk to offer spend controls, data visibility, and a booking engine with global coverage 🌎**\n\n### **😎 How to sign up**\n\nIf your business **currently uses coworking space or is thinking about it**, we would love to chat with you or the appropriate person at your company. Email [clark@flexdesk.com](mailto:clark@flexdesk.com) and [dhanvi@flexdesk.com](mailto:dhanvi@flexdesk.com) or schedule a meeting with us [here](https://calendly.com/clark-flexdesk/30-minute-meeting).",
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        "url": "https://www.ycombinator.com/launches/IB7-nebula-understand-debug-enterprise-scale-codebases",
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        "body": "### **TL;DR Supply chain logistics is an $11 trillion global industry that is still in the early innings of digitization. Trackstar’s universal API lets software companies integrate with any warehouse management system in hours, not months.**\n\nHi everyone 👋, we’re [Daniel](https://www.linkedin.com/in/daniel-langer-84846548/) and [Jeremy](https://www.linkedin.com/in/jeremy-schneck-a67b5479/) from Trackstar! We are on a mission to digitize the global supply chain – one API at a time.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/53fd0b5a-6777-4d6c-94e5-a8057c816dad)\n\n### 🩺**The Problem**\n\nInnovation in the supply chain industry is stifled by the lack of accessible data. For example, there are hundreds of warehouse management systems, most of which are legacy tools with poorly documented APIs or no APIs at all.\n\nCompanies that work on inventory planning, supply chain visibility, product returns, financing, warehouse operations, and more, are forced to build, maintain, and normalize data across one-off supply chain integrations. \n\nThese companies…\n\n* **Drain time and resources** trying to integrate with enough of the WMS market;\n* **Miss out on winning new business** by not supporting integrations that their customers need;\n* **Or never start** because the integration hurdle prevents them from even entering the market.\n\n### 💡**Our Solution**\n\nA universal API for the global supply chain. Our API for warehouse management systems lets software companies build once against a single API and instantly read and write data from any WMS. \n\nWMS is just the beginning. Digitizing these systems will enable a wave of existing and new SaaS companies to build a more efficient and sustainable supply chain.\n\n### **📜How It Works**\n\nWith our universal API, companies can offer WMS integrations without the dev work, and focus their time and resources on their core product.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/7e55987e-cc1c-44f7-a7be-d2ab21e3d1da)\n\n### ⚡**Asks**\n\nIf you know any companies that currently integrate with or are looking to integrate with WMS, please send intros to [founders@trackstarhq.com](mailto:founders@trackstarhq.com).\n\nWant to be an early customer? Visit us at [trackstarhq.com](http://trackstarhq.com) and add your name to the waitlist!",
        "url": "https://www.ycombinator.com/launches/IEO-trackstar-plaid-for-supply-chain-logistics",
        "votes": 34,
        "created_at": "2023-03-09T06:13:37.876Z"
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    "website": "http://www.palomma.com/",
    "all_locations": "Medellín, Antioquia, Colombia",
    "long_description": "Palomma is building the AI-native bank for real estate in LatAm. We start with AI agents for property managers (leasing, sales, collections), then add payments to own the flow of rent. This unlocks credit and insurance products to monetize on the $235Bn of rental flows from tenants and landlords.",
    "one_liner": "AI & financial services for real estate in LatAm, starting by rent",
    "team_size": 8,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction",
    "launched_at": 1677732513,
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        "full_name": "Nicolas Gomez del Campo",
        "title": "Founder",
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        "full_name": "Felipe Monsalve",
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        "founder_bio": "Felipe Monsalve is a technical co-founder at Palomma. He moved from Colombia for his Bachelor's in CS & Econ, and stayed for his Master's in CS. In between schooling, and over the summers, he's gotten industry experience @ Meta, Bloomberg, and a few US + Latin American startups. More recently, at MIT, Felipe worked on a system for medical reporting of human rights violations in places with poor healthcare access. He's passionate about new technology and its impact on individuals.",
        "is_active": true,
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      {
        "id": 70053,
        "title": "Palomma 🕊️ - Frictionless Pay by Bank for LatAm",
        "tagline": "Frictionless Pay by Bank for LatAm! ",
        "body": "**TLDR**\n\n[Palomma](https://www.palomma.com/) helps online merchants and apps in LatAm save 70-80% on card processing fees and increase conversions, by enabling frictionless Pay by Bank for their customers (consumers and/or businesses).\n\n**The problem**\n\n1. Receiving card payments is expensive for merchants, it costs them between 2 to 5% per transaction\n2. Receiving the cheaper alternative, Pay by Bank, poses several frictions:\n   1. **Low conversion:** multiple steps are required to checkout via existing Pay by Bank solutions, resulting in a \\~40% failure rate\n   2. **Non-recurrent:** different from cards, existing Pay by Bank alternatives are hard to enable for recurring payments, requiring complex direct integrations with local banks\n   3. **Confirmation:** confirming a bank payment requires checking bank accounts in real-time, or trusting the proof of confirmation sent by the customer (fraud-prone)\n   4. **Reconciliation:** existing Pay by Bank data is cryptic: i.e., “68068407595”, making reconciliation difficult\n\n**The solution:**\n\nA single API and platform that allows online merchants or apps across LatAm (starting with Colombia) to receive frictionless Pay by Bank payments\n\n1. **Higher conversion:** 30-40% more conversion with frictionless Pay by Bank\n2. **Recurrent:** easily enable recurrent Pay by Bank payments\n3. **Confirmation:** allow your employees to instantly confirm bank payments via our dashboard and WhatsApp / email notifications\n4. **Easy reconciliation:** clearly identify each Pay by Bank payment in our dashboard\n\n![uploaded image](/media/?type=post&id=70053&key=user_uploads/981886/c6212d2c-0c67-4542-a1d7-0e4973f1567d)\n\n_PD: we´re also working on frictionless cash-out bank payments through our API & platform ;) 🔜_\n\n**Why are we building this?**\n\nDuring his time at Nubank, [Cipriano](https://www.linkedin.com/in/cipriano-echavarria-3729a9105/) personally saw the pain experienced by online merchants and apps with high card processing fees, and the friction around the cheaper, Pay by Bank alternatives.\\\n\\\nWith [Pipe](https://www.linkedin.com/in/felipemon/) & [Nico](https://www.linkedin.com/in/ngomezdelcampo/)´s tech, we´re changing that 🕊️\n\n**The ask:**\n\n1. If you’re an online merchant or app in LatAm looking to save on card processing fees, & receive Pay by Bank in a frictionless way, contact us: [cipriano@palomma.com](mailto:cipriano@palomma.com), or **\\+573146450404**\n2. Connect us to online merchants or apps in LatAm: [cipriano@palomma.com](mailto:cipriano@palomma.com), or **\\+573146450404**\n\n**YC deal:**\n\n1. **No fee:** 0$ in fees for the first 5000 transactions through Palomma for YC companies (or referrals of YC companies)",
        "url": "https://www.ycombinator.com/launches/IDt-palomma-frictionless-pay-by-bank-for-latam",
        "votes": 32,
        "created_at": "2023-03-08T18:59:35.984Z"
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    "name": "Versive",
    "slug": "versive",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Versive is an all-in-one research platform that helps teams make faster customer-informed decisions.\r\n- Collect richer insights: AI-moderated studies that deliver interview-quality results at the survey speeds\r\n- Accelerate your analysis: AI-assisted analysis that instantly turns transcripts into shareable insights\r\n",
    "one_liner": "AI-first user research platform",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677539488,
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "David Correa Orozco",
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        "founder_bio": "David is the CEO of Versive. He started his career as a PM at Microsoft working on the Windows Build System. He then became one of the founding engineers at Bread (NYSE: BFH) where he developed multiple fin-tech products. Most recently, he spent the last 3 years working on Serverless Networking systems at Google Cloud. He is now focusing on building an AI-survey platform that enables teams to gather better user insights, faster.",
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        "full_name": "Eric Li",
        "title": "Founder",
        "founder_bio": "Eric is the co-founder of Versive. Previously, he led product and design at Vareto, designed marketplace products at Uber Eats, and was the first designer at Bread (NYSE: BFH). In a past life, he studied Economics at UChicago and was an investment banker at J.P. Morgan. ",
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      {
        "id": 83020,
        "title": "Versive - AI-powered synthesis for user interviews",
        "tagline": "Instantly turn user interviews into shareable reports and actionable insights.",
        "body": "We’re [Eric](https://www.linkedin.com/in/erictli/) and [David](https://www.linkedin.com/in/correa-david/), the founders of [Versive](https://www.getversive.com/).\n\n**tl;dr:** Versive now helps you turn user interviews and customer calls into ready-to-share reports. Upload your recordings to get shareable research reports with key quotes and actionable takeaways. Plus, use AI chat to dive deeper and get answers to specific questions.\n\n# **Problem**\n\nTalking to users helps companies make better decisions, but the process of conducting and analyzing user research is slow and manual.\n\nImagine you’re a researcher who just interviewed 10 users. To share your findings, you need to watch each recording, summarize the conversations, extract key themes and quotes, consolidate your notes into a single report, and then package everything into a polished document. It’ll take at least a week before you can share actionable insights with your team, and you’ll have spent hours that could have been used to drive actions or launch new studies.\n\n# **Solution**\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/bf2ff14a-662f-4762-be93-3ec32360a76b)\n\nVersive’s mission is to help companies make faster, customer-informed decisions by making it easier to conduct high-quality user research. Our [AI-moderated interviews](https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights) have already helped leading brands gather in-depth feedback from thousands of users. However, we believe that human-moderated interviews are still key for capturing nuanced feedback and building customer empathy.\n\nThat’s why we’re launching a new product that enables research teams to instantly synthesize interview recordings into shareable reports and summaries.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/4bd673aa-28a0-439e-a631-23f32c25dc7f)\n\n# **How it works**\n\n1. **Customize your reports:** Tailor the structure of your reports to fit the needs of your study, no coding or prompting expertise required.\n2. **Upload interviews:** Import audio/video recordings or VTT transcripts.\n3. **Get instant summaries:** You’ll get consistent, shareable summaries for each interview, complete with quotes and actionable takeaways.\n4. **Get an aggregate report:** We’ll also generate a report for your entire study, with citations that link back to your transcripts.\n5. **Chat with your results:** Have more questions? Chat with your study data and get immediate, citation-backed answers.\n\n![uploaded image](/media/?type=post&id=83020&key=user_uploads/322456/d8ce7917-30ea-4966-85d6-a746146e5410)\n\n## **Get in touch**\n\nWe’re already working with leading research, design, product, and customer experience teams to accelerate their user research. If you’d like to learn more:\n\n* [Request a demo on our website](https://www.getversive.com/) or reach out to us directly at [hi@getversive.com](mailto:hi@getversive.com).\n* [Follow us on LinkedIn](https://www.linkedin.com/company/versivehq/) for product and company updates.",
        "url": "https://www.ycombinator.com/launches/Lb2-versive-ai-powered-synthesis-for-user-interviews",
        "votes": 29,
        "created_at": "2024-08-14T01:39:13.325Z"
      },
      {
        "id": 77377,
        "title": "Versive - AI-powered surveys that collect interview-quality insights",
        "tagline": "We make it easy to gather high-quality user insights and customer feedback",
        "body": "**tl;dr:** _Versive makes gathering user insights and customer feedback easier. Our AI-powered surveys ask intelligent follow-up questions to give you interview-quality insights in a fraction of the time._\n\nHi everyone, we’re David and Eric, the founders of Versive.\n\n## **The problem**\n\nMost companies don't speak to their users enough, especially as they scale. As a result, it's difficult to make informed product and marketing decisions.\n\nIn Eric’s past life as a product manager and designer, he conducted dozens of user studies at startups and public companies. Each time, it took weeks of scheduling, interviewing, and synthesizing to get from questions to answers. As a result, his teams collected feedback and validated ideas far less than they would have liked.\n\nExisting tools don't solve this problem well. Interviews and focus groups are time-consuming and expensive to set up. Surveys only yield surface-level insights and are cumbersome to build. Even at companies with dedicated research teams, few requests get approved, leaving most PMs, designers, and marketers on their own.\n\n## **The solution**\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/1c77cc3e-958b-4f93-9803-ec92b67eadfe)\n\nVersive enables teams to collect interview-level insights at the scale and speed of a survey. We support voice interviews, dozens of languages, concept and design testing, structured questions, branding customization, and more.\n\n1. Build your survey in Versive, or ask our AI assistant to generate one in seconds.\n2. Our AI moderator administers your survey and asks intelligent follow-up questions to dig deeper into user responses.\n3. We'll auto-generate summaries and insights, plus give you transcripts for each response.\n\n![uploaded image](/media/?type=post&id=77377&key=user_uploads/322456/96a56e72-eb80-41d8-a926-8474268d77ce)\n\n## **Who is this for?**\n\nWhether you’re creating B2B software or selling consumer products, we can help.\n\n* **Product and design teams:** you'll validate designs, roadmaps, and requirements in hours instead of weeks.\n* **Marketing and customer teams:** you'll conduct market research and collect customer feedback more efficiently and with higher quality.\n* **Research teams:** you'll be able to offload simple requests so you can focus on high-value studies.\n\n## **Our team**\n\nWe're David Correa and Eric Li. We met as early employees of Bread (NYSE: BFH) and became fast friends. Eric is a designer and product manager who's experienced these problems firsthand at Uber and several startups. David is a software engineer who's worked at Google and Microsoft.\n\n## **Our asks**\n\n* If you’re interested in trying us out, sign up at [getversive.com](https://www.getversive.com/) or email us at [founders@getversive.com](mailto:founders@getversive.com) for a demo.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/versivehq) or [Twitter](https://twitter.com/getversive) for product updates.",
        "url": "https://www.ycombinator.com/launches/K81-versive-ai-powered-surveys-that-collect-interview-quality-insights",
        "votes": 106,
        "created_at": "2024-01-09T22:16:01.952Z"
      },
      {
        "id": 69820,
        "title": "🪄 Mirio - Spin up personalized demos for your API product in minutes",
        "tagline": "Mirio is the easiest way to create personalized demos for your API product",
        "body": "**tl;dr: Mirio enables sales teams at API companies to spin up and personalize demo apps in minutes. Stop demoing docs and show every customer a personalized use case.**\\\n[**👉 Book a demo**](https://trymirio.com)\n\nHi everyone, we’re [David Correa](https://www.linkedin.com/in/correa-david/) and [Eric Li](https://www.linkedin.com/in/erictli/), the founders of Mirio.\n\nMirio is a demo platform for sales teams at API companies. Instead of bugging engineers to build custom demos or screen-sharing documentation, sales teams can use our no code-platform to clone, deploy, and personalize demo apps in minutes.\n\n### **For sales teams selling API products**\n\nWe spoke to account executives and SDRs at API companies and heard the same problems:\n\n* Developers are okay with documentation but decision-makers want to visualize the impact on their business and product.\n* Sales tries to convince engineers and designers to create custom demos but are usually told no (When David and I were asked to help create demos, we hated it too)\n* As a result, they only personalize demos for top prospects and end up demoing the same documentation and code for most customers, which often doesn’t land.\n\n### **Create personalized demos in minutes with Mirio**\n\n![uploaded image](/media/?type=post&id=69820&key=user_uploads/322456/74b71732-cae7-4f78-a69e-c02341ab8cb3)\n\nMirio empowers sales teams to spin-up and personalize real apps (connected to your API) so they can convey the magic of your product to every customer.\n\n1. Connect your demo apps to Mirio, we’ll help you set them up so they can be customized.\n2. From your Mirio dashboard, account executives and SDRs can clone and deploy demo apps in one click. They can then personalize branding, content, and more using our no-code editor.\n3. Use your personalized demos in live meetings, SDR outreach, website embeds, leave-behinds, and more. Track demo engagement from your dashboard.\n4. Wow more customers and close more deals! **🚀**\n\n### **Why us?**\n\nDavid and Eric met at as early employees of Bread Financial (NYSE: BFH) where the sales team bugged us every week to help create custom demos for Bread’s developer-facing product. This was time-consuming and painful but we saw the impact that personalized, interactive demos had on closing deals.\n\nOutside of Bread, we’ve also built software, designed products, and led teams at companies like Google, Microsoft, Uber, and Vareto.\n\n### **We’d love to chat**\n\n* If you’re selling an API product and want to personalize demos with the least amount of effort, book a demo at [trymirio.com](http://trymirio.com) or email us at [founders@trymirio.com](mailto:founders@trymirio.com).\n* If you’re not, we’d love intros to anyone who is.\n\nFor us, demos are the first step in helping to improve sales and onboarding for API products. If you have related challenges or a unique use case you’re not sure we can solve, reach out ([founders@trymirio.com](mailto:founders@trymirio.com)). We’d love to chat and see if we can build a solution around your problem.",
        "url": "https://www.ycombinator.com/launches/IA8-mirio-spin-up-personalized-demos-for-your-api-product-in-minutes",
        "votes": 77,
        "created_at": "2023-03-01T18:01:30.590Z"
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    "id": 27785,
    "name": "Pledge Health",
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    "website": "https://www.pledge.health/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Our AI browser assistant automates insurance tasks like verifying benefits, submitting prior auths, checking claim statuses, and more across all payer portals, directly from the clinic's EHR. It does exactly what the admin team is doing today, just helps them do it 10x faster and as thoroughly as a seasoned teammate.",
    "one_liner": "AI RCM assistant that handles any insurance task on payer portals for…",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1673114409,
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      "Health Tech",
      "B2B",
      "Workflow Automation"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "regions": [
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
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        "title": "Pledge Health - Automated patient billing for healthcare clinics",
        "tagline": "We automate cost estimation and billing so clinics get paid by their patients faster",
        "body": "Hi! We’re Shreya and Andrew, the team behind [Pledge Health](https://www.pledge.health/?utm_source=launch_yc&utm_medium=post&utm_campaign=launch_yc).\n\n**TL;DR** Pledge automates patient billing for independent healthcare clinics. We estimate how much insurance will cover for each visit, so clinics can charge patients at the time of service, rather than waiting weeks for insurance to process.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/dfd59475-c145-471f-966b-d69acf3819ef)\n\n### 🤯  **The Problem**\n\nA larger share of healthcare clinics’ revenue is coming from patients instead of insurance companies, so clinics are trying to charge patients upfront for care. However, the manual process of estimating how much a patient will pay after insurance is error-prone, expensive, and time-consuming.\n\nTake Dr. Emily for example; she **spends more than 20 cents to collect every $1 from a patient**. Despite the high cost and effort, her office is only able to collect 50% of the patient's responsibility at the time of the visit.\n\nThere are over 200k clinic owners like Dr. Emily in the US, **struggling to collect $47 billion in patient payments** every year.\n\n### 💡 **Our Solution**\n\n* Automatically verifies patient insurance benefits ahead of their appointment.\n* Creates personalized out-of-pocket cost estimates by combining the patient’s insurance benefits, the predicted services for the visit, and contracted prices.\n* Communicates the estimated cost and final bills clearly with patients via email and text and allows patients to schedule payments.\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/e1fa730d-526f-440b-99b8-53fc81ffa657)\n\n📈 Results with Pledge\n\n* Reduce time spent on collecting patient responsibility by 75%\n* Increase collections by 17%\n* See > 90% patient satisfaction\n\n### 🤠 **Team**\n\nAndrew was a founding engineer at CancerIQ, where he built integrations with electronic health record systems that are crucial to automating billing workflows at Pledge.\n\nShreya was a software engineer at Microsoft, where she worked on healthcare and ML applications.\n\n### 🫶 **Our Ask**\n\nAre you a digital health company or know someone who owns/works at a private healthcare practice that accepts insurance? **Please connect with us at **[**engage@pledge.health**](mailto:engage@pledge.health)**!**\n\n![uploaded image](/media/?type=post&id=69977&key=user_uploads/632299/b78a4d89-22e0-40dd-bed0-1fdd421c39e8)\n\n",
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        "created_at": "2023-03-07T05:01:21.102Z"
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      {
        "id": 69144,
        "title": "EdgeBit - Secure your software supply chain",
        "tagline": "Supply chain analysis that eliminates noise in vulnerability response",
        "body": "tl;dr: [EdgeBit](https://edgebit.io) automatically inventories software dependencies, ensures they are trusted, and monitors vulnerabilities – securing your software supply chain. For security teams, we help you meet new compliance requirements about the libraries and packages in your products. For engineers, we make vulnerability investigation/patching streamlined, so you can get back to writing code.\n\nHi everyone, we are Rob, Russell and Eugene, the team behind [EdgeBit](https://edgebit.io).\n\nWe’re on a mission to make software secure by default. EdgeBit deeply understands how your app is built, what makes it up and how it’s running. That knowledge builds up trust to make developers lives easier, and your entire server fleet more secure.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/b3341e0d-c53a-49b4-a31a-c5d9a5fa6c8c)\n\nLeft - [Eugene](https://www.linkedin.com/in/eugene-yakubovich-4640604/) - Chief Architect and low level hacker. He worked on pathfinding algorithms at Lyft, container networking at CoreOS and performance optimization in his high frequency trading days.\n\nCenter - [Rob](https://www.linkedin.com/in/robszumski/) - CEO and product leader. He was a Director of Product at Red Hat working on the OpenShift/Kubernetes platform after their acquisition of CoreOS (YC S13).\n\nRight - [Russell](https://www.linkedin.com/in/russellhaering/) - CTO and master of backend systems. He ran security engineering at Okta after their acquisition of ScaleFT, the zero trust access management startup he cofounded.\n\n## The Problem: securing software still feels like throwing problems over a wall\n\nSecurity teams have important work to do – meeting a maze of compliance rules against a constantly moving target of dependencies, frameworks and deployment platforms. Automation is key, but security teams aren’t experts in each app, so “open a ticket for any vulnerability found” is a typical workflow. This is a firehose for app teams, and tickets don’t contain the context needed for a speedy investigation.\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/201aef87-ad12-4842-9b9d-f423f8ccd315)\n\nLooking beyond compliance, real attacks are happening via software dependencies. For a single library, it’s tricky to securely download, integrate, sign and verify it…and very hard for 100s of dependencies across multiple apps. An enterprise can use [40,000 open-source software packages](https://www.theregister.com/2023/02/05/supply_chain_security_efforts/) each bringing another 77 dependencies.\n\nAn end-to-end system across the build→scan→run→monitor is required to stop these attacks. Dependencies are fragmented across OS packages, standalone binaries and containers, but a single view across all is required to understand the full attack surface.\n\n## EdgeBit: Map your supply chain from build to production in real time\n\n![uploaded image](/media/?type=post&id=69144&key=user_uploads/230598/9872f16b-3980-4c64-bf6f-fe47a5f82262)\n\nEdgeBit builds up context and trust by observing your software from build until deployment to your server fleet. How does it work? Install EdgeBit into your build pipeline and your server fleet/Kubernetes cluster via a tiny agent to immediately enable teams to bring vulnerabilities under control:\n\n* Security: track workload signatures, provenance and prevent malicious modification\n* Compliance: build a real time inventory tracked back to the software’s bill of materials (SBOM)\n* Engineering: prioritize vulnerability investigation based on deep context\n* Enterprises: track patching across teams. The next log4j will come, and it’s a huge endeavor without real time inventory across all tech stacks and packaging formats.\n\n## Try out EdgeBit\n\nSecurity teams can [install EdgeBit](https://edgebit.io) to track their supply chain and even help compliance managers do their job without getting engineering involved. Remove frustration from your vulnerability response program by connecting your teams together and take control back from noisy scanners.\n\nSecuring supply chains is just a step in our journey. Using trust profiles between systems is key to a zero trust security posture. We’d love to chat with you about acute compliance needs or long term security goals of your organization.",
        "url": "https://www.ycombinator.com/launches/HzE-edgebit-secure-your-software-supply-chain",
        "votes": 23,
        "created_at": "2023-02-08T20:44:58.421Z"
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    "long_description": "We make it possible to build a serverless cloud platform that hosts custom user code with just APIs and no infrastructure team. For example, an open source framework can build a cloud offering that deploys their users code from Github or local dev environments in days instead of months. ",
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    "year_founded": 2022,
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        "full_name": "Eric Chen",
        "title": "Founder",
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        "linkedin_url": "https://www.linkedin.com/in/ericchen90/",
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        "full_name": "Jessie Young",
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    "jobs": [],
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    "launches": [
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        "id": 70142,
        "title": "Cakework - Custom user code in any developer product",
        "tagline": "Build your own serverless platform in days instead of months",
        "body": "**tldr**\n\n_We make it easy to run custom user code using APIs instead of infrastructure. Build extensibility directly into your developer product, or launch your own serverless cloud solution._\n\nHi friends, we're Jessie and Eric from [Cakework](https://www.cakework.com). We're ex-AWS engineers that got tired of managing infra and wanted our tools to do it for us. We started Cakework to bake serverless into every developer product and never have to host our own code again.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/608b19e2-7cf0-4402-8173-aa280ba89b58)\n\n[Jessie](https://www.linkedin.com/in/jyoung73/) - Senior Engineer that led development of AWS call center AI analytics and NLP services.\n\n[Eric](https://www.linkedin.com/in/ericchen90/) - Engineering Manager that led a team of engineers, scientists, and clinicians in building AWS services for healthcare.\n\n**Problem**\n\nModern developer experiences let users run custom code natively, so users can build extensions and applications without any devops. This can be anything from in-browser scripting to webhook handlers or web services that deploy from Github.\n\nBuilding a platform to do this is hard because cloud services like AWS are designed by default to run your code, not your users'. You need to package your users code, handling dependencies and multiple languages. You need to provide logging, metrics, and metering. Serverless options like Lambda help with security and cost, but have restrictions on timeout and prevent you from using protocols like gRPC.\n\nYou’re basically building your own Heroku.\n\nOne of our early customers had given up on building their own serverless cloud solution. With us, they were able to launch in a week.\n\n**How did we do it?**\n\nCakework is a set of simple APIs for building serverless directly into your developer product. You describe how you want to package and run your users' code, and use Cakework to build images from Github, CLI, or even a browser. You use our APIs to run that code securely, and show logs and metrics back to your users.\n\nHere's a gif of Cakework in action with a developer SaaS tool that wanted their users to be able to run custom code on webhooks in their system.\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/72dd917a-6381-4859-8341-6d278385f1d0)\n\nYou can build your own in-browser scripting with multiple languages!\n\n![uploaded image](/media/?type=post&id=70142&key=user_uploads/461027/7a15ec40-7de5-4641-8a73-87b612c1ba7c)\n\n**Asks**\n\nWe're onboarding customers in early access now. If you or someone you know is working on a developer product and want to run your user's code, reach out at [eric@cakework.com](mailto:eric@cakework.com)!",
        "url": "https://www.ycombinator.com/launches/IFK-cakework-custom-user-code-in-any-developer-product",
        "votes": 57,
        "created_at": "2023-03-10T17:19:23.787Z"
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    "name": "Omnistrate",
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    "website": "http://www.omnistrate.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Omnistrate helps software companies to build their own private-label control plane to deliver your product as vendor-hosted SaaS, inside customer cloud accounts/VPCs/Kubernetes clusters, on-premises, in air-gapped environments, and through cloud marketplaces.",
    "one_liner": "Build your control plane to deploy your product in your customer VPC…",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
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    "tags": [
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    "batch": "Winter 2023",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/omnistrate",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/omnistrate.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/omnistrate/",
    "x_url": "https://twitter.com/omnistrate",
    "fb_url": "https://www.facebook.com/omnistrate",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1159729,
        "full_name": "Kamal Gupta",
        "title": "Founder",
        "founder_bio": "Kamal is a Co-Founder & CEO of Omnistrate. He is a repeat founder with an entrepreneurial spirit. Kamal led the engineering for Kafka at Confluent across all channels. During his time, Kafka Cloud revenue grew by 20x. Before that, he led the database engineering for AWS Aurora MySQL, a BB+ dollar business managing MM+ of database nodes. During his period at AWS (2007-2020), he built more than half-a-dozen cloud services at AWS across different domains & providers\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kkgupta2/",
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      },
      {
        "user_id": 1157545,
        "full_name": "Alok Nikhil",
        "title": "Founder",
        "founder_bio": "Alok comes with deep technical expertise in Serverless, Networking, Performance on the Cloud. He was the original technical author of Aurora Serverless, which revolutionized the data systems space. Within the first year of its introduction, ~50% of hundreds of thousands of Aurora DBs created were on Aurora Serverless. He also scaled networking (packets-per-second) on AWS by 10-15x during his tenure at Cisco, scaled Confluent Cloud by 5x from 4GBps to 20GBps, and Kafka Cloud latencies by 10x.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhilalok/",
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        "title": "Platform Engineer [US]",
        "url": "https://www.ycombinator.com/companies/omnistrate/jobs/L0WAiFF-platform-engineer-us",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
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        "id": 97793,
        "title": "Founding AE Role",
        "url": "https://www.ycombinator.com/companies/omnistrate/jobs/yeQMikj-founding-ae-role",
        "location": "US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 97794,
        "title": "SDR role [India only]",
        "url": "https://www.ycombinator.com/companies/omnistrate/jobs/T2nsaRb-sdr-role-india-only",
        "location": "Remote",
        "type": "Full-time",
        "role": "Sales",
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        "experience": "3+ years",
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    "launches": [
      {
        "id": 122341,
        "title": "Deploy your product in your customer VPC  or Single-tenant SaaS or AirGapped",
        "tagline": "BYOC, BYO-K8s, BYO-VPC, Single-tenant SaaS, Dedicated SaaS, Hosted SaaS",
        "body": "Omnistrate helps software companies to build their own private-label control plane to deliver your product inside customer cloud accounts/VPCs/Kubernetes clusters, on-premises, air-gapped environments, single-tenant SaaS and through cloud marketplaces.\n\n**A simple way to think about it:** when an enterprise customer asks, “Can this run in our AWS account?”, or “Can we self-host this?”, or “Do you have a isolated SaaS with XYZ requirements”, “Can we buy this through our cloud marketplace?”, Omnistrate generated control plane enables you say **yes** without turning every customer into a custom engineering project.\n\n### **Why we built Omnistrate:**\n\nWe experienced firsthand how difficult it is to deploy and operate software across customer environments. Every enterprise deployment became a custom engineering project, slowing down sales, consuming engineering resources, and creating ongoing operational complexity.\n\nWe built Omnistrate to change that — enabling software companies to deploy, manage, and scale their products in any customer environment without building and maintaining their own control plane.\n\n### **Three common use cases**\n\n**1. Support BYOC, self-hosted, on-prem, and air-gapped customers**\n\nEnterprise customers increasingly want software to run inside infrastructure they control due to data sovereignty or leveraging their cloud commits.\n\nWith Omnistrate you can support:\n\n* **Customer cloud accounts:** Deploy the complete stack into your customer's AWS, GCP, Azure, or other cloud account — including networking, Kubernetes, compute, storage, and your application.\n* **Customer VPCs:** Run inside an existing customer network with private connectivity and customer-controlled security.\n* **Customer Kubernetes:** Deploy and operate your software on Kubernetes infrastructure the customer already manages.\n* **On-prem and air-gapped:** Support environments with limited or no connectivity to your SaaS control plane.\n\nYou can operate these deployments as a managed service or enable customers to self-serve through your private-label portal. To learn more, see this blog: <https://omnistrate.com/blog/why-byoc-is-the-future-of-enterprise-software-deployment>\n\n**2. Build and distribute your Single-tenant SaaS  (or Hosted SaaS)**\n\nUse the same control plane to run your single-tenant SaaS across clouds, regions, tenancy models, and infrastructure configurations.\n\nStart with hosted SaaS to support simple dedicated deployments, add dedicated K8s, dedicated network, dedicated account, or multi-tenant your customers over the shared infrastructure.\n\nThis is particularly useful when your first few customers have very different requirements but you don't want to maintain separate platforms for every deployment configuration. Also - allows you to enable free trial cost-effectively or figure out the right distribution model as you unlock your GTM. To learn more, please see this blog: <https://omnistrate.com/blog/why-enterprise-saas-is-moving-toward-isolated-tenancy-models>\n\n**3. Sell through AWS, Azure, and Google Cloud Marketplaces**\n\nLaunch and transact through the major cloud marketplaces without building separate fulfillment and billing integrations for each provider.\n\nOmnistrate helps with the end-to-end motion including marketplace enablement, fulfillment, subscriptions, metering, billing, and integration with your product. We also work with you on the listing (we partner with Suger, another YC company) and cloud co-sell motion.\n\nTo learn more, please see this blog: <https://omnistrate.com/blog/the-hidden-fulfillment-problem-killing-your-cloud-marketplace>\n\n### **What Omnistrate handles**\n\nYour generated control plane can automate:\n\n* Infrastructure provisioning and configuration\n* Application deployment, scaling, and upgrades\n* Customer self-service deployments\n* Tenant and subscription management\n* Observability and health monitoring\n* Backups, recovery, drift detection, and Day-2 operations\n* Security, governance, RBAC, and auditability\n* Metering, billing, licensing, and entitlements\n* Cloud Marketplace fulfillment\n* Fleet-wide operations across customer environments\n* and more: [**https://docs.omnistrate.com/**](https://docs.omnistrate.com/)\n\n### **How does it work?**\n\nBring what you already have — container images, Docker Compose, Helm charts, Kustomize manifests, Kubernetes Operators, Terraform/IaC, or your existing deployment artifacts.\n\nDefine how your product should be deployed and operated in Claude (or your favorite codex), and we will translate that into a declarative spec and then use that to generate your **private-label control plane running in your account**.\n\nThat control plane manages the infrastructure and application lifecycle across your different customer environments.\n\nFor customer-hosted deployments, your customer's workloads and data stay in their environment. Your customers interact with your product and brand — not Omnistrate.\n\nAlready have a control plane or customer portal? You don't have to replace it. Omnistrate can extend what you already built to support additional clouds, BYOC, Kubernetes, on-prem, air-gapped environments, and operational capabilities.\n\n### **Our ASK:**\n\nIf you are looking to build one or would like to discuss more on the topic, we would love to chat more. Here is our calendly: <https://calendly.com/omnistrate>\n\nIf you would like to interested to learn more about Agent deployments, check out: <https://agentic-saas-talks.com/>",
        "url": "https://www.ycombinator.com/launches/VpF-deploy-your-product-in-your-customer-vpc-or-single-tenant-saas-or-airgapped",
        "votes": 6,
        "created_at": "2026-10-15T15:50:12.811Z"
      },
      {
        "id": 91525,
        "title": "Omnistrate: CoPilot for Platform teams to go from app to product in days, not years",
        "tagline": "Build software distribution aka Control Plane",
        "body": "Going from (Agentic) App to Product, organizations have to build multiple distribution engines. The Control Plane is nothing but an **operating system for those distribution models**.\n\nOmnistrate is a developer platform to build software distribution aka Control Plane — the \"operating system\" that powers deployment models like On-Prem / AirGapped, BYOC, PaaS, SaaS, AaaS distributions.\n\nWe achieve this by building and running your Control Plane in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/a13a9237-8faa-4f5d-b232-b8fecb82ce62)\n\n### **What will your Control Plane do?**\n\n* OnPrem Installs: Packaging, versioning, deployment templatization, seamless upgrade paths, collecting basic troubleshooting data (logs/metrics), and enforcing licensing to prevent unauthorized use. Its effectively similar to building your terraform scripts for infrastructure, L5 K8s operator on top, writing the deployment script to stitch everything together.\n* BYOC CoPilot: If you want to extend OnPrem model by automating deployments within the customer’s cloud account — across any cloud or region. You have to automate deployments, build the ability to deploy in customers’ account, support Offline mode for security conscious customers\n* PaaS: If you want to extend OnPrem and BYOC to offer self-serve deployments (aka PLG motion) including tenant management, usage-based billing and, automated operations at massive scale — reliably, securely, and cost-effectively\n* SaaS: for companies looking to provide seamless experience by just giving an endpoint that just works. The endpoint is smart enough to handle a broad range of use cases and automatically adjust based on usage to optimize for the cost, scale, performance without compromising on the security or reliability\n* AaaS: If you are looking to build next-gen experience where each customer gets a **personalized experience** based on their organization, workloads, and data or distribute your agents\n\nTo learn more more about different distribution models, see this blog: https://blog.omnistrate.com/posts/152\n\nTo learn more on how we are different than CI/CD, IaC, or PaaS systems: https://omnistrate.com/control-plane-demystified\n\n### **Why we built Omnistrate:**\n\nGiven the complexities of Control Plane, most DIY control planes become fragile, siloed, and a blocker to innovation. Hence, we have built Omnistrate to build your control plane running in your account, so that you don't have to spend years to build and army to operate on undifferentiated things.\n\n### **How does it work:**\n\n![uploaded image](/media/?type=post&id=91525&key=user_uploads/1159729/b3f750a5-13d3-4db1-bded-a6dcc79a186f)\n\nWe take your container images and your cloud account id to run your control plane. From there you can provide the control plane specification using docker compose (we have added extensions) or use our native DSL (domain specific language) to describe your control plane.\n\nWhat if you already started? - No problem. You can start at any point in the journey very easily. We integrate with your existing control plane stack irrespective of your current state. You can keep control of the pieces you like, leave the rest on us and have the peace of freedom to expand into new areas with ease at one-tenth the cost. Examples:\n\n* We can import your Terraform (used for infrastructure management)\n* We can import your Helm, Kustomize, Operator (used for packaging, templatization,\n* We can take your existing automation for deployments to extend you across clouds or regions, build beautiful SaaS and AaaS experiences.\n* and much more..\n\nTo learn more, see our technical blogs:\n\n* https://blog.omnistrate.com/posts/151\n* https://blog.omnistrate.com/posts/150\n* https://blog.omnistrate.com/posts/149\n\nQuick Product Intro videos:\n\n* BYOC CoPilot: https://youtu.be/3D08uFN6ugc\n* PaaS: https://youtu.be/4vDdVf9x_nU, [https://youtu.be/\\_S0UXJh516M](https://youtu.be/_S0UXJh516M%EF%BF%BC-), https://youtu.be/8gUrqrMcjdM\n* For OnPrem, SaaS and AaaS demo, reach out to &lt;[support@omnistrate.com](mailto:support@omnistrate.com)&gt;\n\n### **Use-cases:**\n\n* Build OnPrem Installer, BYOC, PaaS, SaaS or AaaS Products as mentioned above.\n* BYOC CoPilot for your support teams to streamline deployments to accelerate customer onboarding, manage upgrades/versioning to keep track of your customers in an automated way, streamline operations to reduce MTTR and bring consistency in handling the issues. We also support offline mode for security conscious customers to only connect during operational time otherwise they can stay completely disconnected\n* Multi-cloud & BYOC expansion for teams with existing control planes to extend it across clouds — deploy globally and support any deployment model, including BYOC, to run seamlessly in your customers’ accounts\n* Open-source Project to Open-core: Monetize your open-source project without compromising your community-driven values by offering value-added services like streamlined deployments across any cloud/region in your own account or deploy in customers’ accounts, automated operations, seamless infrastructure management\n* Internal PaaS to save cost by using your cloud credits, streamlining deployments and operations, infra management\n\n### **Our ASK:**\n\nIf you are looking to build one or have any questions or would like to discuss more on the topic, we would love to chat more. Here is our calendly: https://calendly.com/omnistrate\n\nIf you would like to stay connected, follow us here: https://www.linkedin.com/company/omnistrate/ or join our community group: http://saasmondays.com/",
        "url": "https://www.ycombinator.com/launches/NoD-omnistrate-copilot-for-platform-teams-to-go-from-app-to-product-in-days-not-years",
        "votes": 17,
        "created_at": "2025-06-22T18:13:13.639Z"
      },
      {
        "id": 70134,
        "title": "Omnistrate - Cloud platform to SaaSify your open-source project 🚀",
        "tagline": "From your docker image to your multi-cloud SaaS in 1 minute",
        "body": "![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/250b8d8a-7e84-40d5-80c6-deb4f4645c83)\n\n### **✨ TL;DR**\n\nOmnistrate is a control-plane as-a-service that **transforms your docker image into a multi-cloud SaaS service**. Let’s say you have an open-source software (e.g. MongoDB), and you want to monetize your invention by building a multi-cloud SaaS solution (e.g. MongoDB Atlas), you can either spend years doing it yourself, or use Omnistrate to do it in no time.\n\nHello everyone - it’s Kamal and Alok here introducing [Omnistrate](https://www.omnistrate.com)!\n\n### **🤯 Problem**\n\n* Going from Software to SaaS can **take months or even years**. Moreover, it can take several attempts for enterprises to find their product-market fit making it **extremely costly** to experiment.\n* Cloud is **complicated** with so many different services, cloud providers, and a rapidly evolving landscape.\n* Building a SaaS service from scratch to do undifferentiated heavy-lifting **distracts** enterprise from the core innovation and adds significant **risk** to their business.\n\n### **💡 Solution**\n\n* Omnistrate makes it **simple, quick** and **cost-effective**, saving years of development time and resources. And we do this, for every cloud provider across the globe out of the box.\n* Omnistrate abstracts away all the cloud complexities and make it **super** **easy** to build cloud-native services.\n* In a fast moving world, enterprises need a platform that allows them to **successfully experiment**, without shifting their focus or taking a massive business risk.\n\n### **📜 Our Story**\n\nI was part of the AWS founding team, and built **more than half-a-dozen cloud services** over the years (2007-2020) across different domains. During my early days at AWS, I was one of the **original authors of AWS control plane** that was used to host open-source technologies by numerous AWS services.\n\nAlok and I met at AWS Aurora when I was running the database engineering for a **billion dollar SaaS business**, managing millions of databases. Alok was the original technical author of Aurora Serverless, which revolutionized the data systems space. He then went to Cisco to scale networking pipeline (packets-per-second) on AWS by 10-15x.\n\nWe reunited again at Confluent in 2020 where I ran the Kafka engineering at Confluent and grew their multi-cloud Kafka offering to **200MM+ ARR business managing over 100,000 containers**. Alok played a key role there in scaling Kafka Cloud throughput by 5x, and reducing Kafka Cloud latencies by 10x to really distinguish Confluent Kafka offering from other vendors.\n\nWith Omnistrate, we want to **share our learnings into a fully automated platform** by getting rid of the undifferentiated work and making it simple for anyone to build a SaaS service.\n\n### **⚒️ How it works**\n\n![uploaded image](/media/?type=post&id=70134&key=user_uploads/1159729/57ff5a13-a71a-4853-8370-f46493442817)\n\nYou start by simply bringing your docker image. Omnistrate, from then on, will seamlessly build your SaaS and runs it on auto-pilot. At every step of the process, you retain full control, the ability to innovate on your product and the ability to integrate with your favorite tools or services.\n\n### **🫶 Ask**\n\nIf you are **looking to SaaSify your open-source (or any other software)**, please sign-up [here](https://omnistrate.com/demo) and we will create an account for you to provide a white glove experience. We will then come on a quick call to get you up and running in a few minutes.\n\nIf you know someone who could benefit, please reach out to us at: [founders@omnistrate.com](mailto:founders@omnistrate.com)\n\nIf you are excited about the SaaS space, please join our [Slack](https://join.slack.com/t/cloudnative-u5h1399/shared_invite/zt-1qf3cgi37-lCV1vKJlrBioqGuVjKBtyw) community\n\n### **⭐️ Our YC deal:**\n\nPlease see this: <https://bookface.ycombinator.com/deals/1677>\n\nFor any questions on the deal, please reach out to us at [yc@omnistrate.com](https://mailto:yc@omnistrate.com)\n\nThank you! Omnistrate Team ✌️\n\nCEO, Kamal Gupta",
        "url": "https://www.ycombinator.com/launches/IFC-omnistrate-cloud-platform-to-saasify-your-open-source-project",
        "votes": 560,
        "created_at": "2023-03-10T14:58:53.557Z"
      }
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    "id": 27816,
    "name": "OpenSight",
    "slug": "opensight",
    "former_names": [
      "FastFile"
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    "website": "https://www.opensight.ai",
    "all_locations": "San Francisco, CA, USA; Sunnyvale, CA, USA; Remote",
    "long_description": "OpenSight helps companies quickly scale up their support function and resolve customers' questions much faster. With the latest advancement in LLMs, OpenSight offers accurate answers and action resolution paths resolving >70% of inbound customer inquiries. ",
    "one_liner": "AI-powered customer support automation for fast-growing companies",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1673668209,
    "tags": [
      "Generative AI",
      "B2B",
      "Customer Success",
      "Customer Support"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/opensight",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/opensight.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/opensightai/",
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      {
        "user_id": 699631,
        "full_name": "Ruoni Wang",
        "title": "Founder/CEO",
        "founder_bio": "Full-stack engineer with a strong product mind. Prior to OpenSight, Ruoni built several AI/ML applications at Meta AI and is a patent author in Natural Language Processing. Now engineering @ Anima (YC W21). \n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/ruoni-wang-090031121/",
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        "user_id": 1255641,
        "full_name": "Jeff Huang",
        "title": "Founder/CTO",
        "founder_bio": "Former CTO @ Lunaris Trading, Volatility Strategies and Arbitrage Team Lead @ Akuna Capital",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jhuang619/",
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      {
        "user_id": 422006,
        "full_name": "Victoria Wan",
        "title": "Founder/COO",
        "founder_bio": "In my previous life, I worked in strategic finance for startups and public companies before becoming the first marketing hire at Pry Financials YC W21 (Acquired by Brex). Currently living in TX with my husband and our 2 Shiba Inu’s and our son.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/vw-wan/",
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      {
        "id": 69276,
        "title": "OpenSight - Automate your customer support questions (and actions!)",
        "tagline": "AI-powered solution to automate even the hard and time-consuming customer questions and requests",
        "body": "Hi YC! Vickie, Jeff, and I (Ruoni) are excited to introduce [OpenSight](https://www.opensight.ai)!\n\n**_Tl;dr_**_: OpenSight is a customer support automation tool that resolves **>70% of your customers’ questions** by automating actions in addition to providing text-based responses._\n\n## **❌ The Problem**\n\nYou are a B2C SaaS, e-Commerce, Marketplace, FinTech company with tons of tickets growing every day, support is becoming really expensive and **your Intercom bot solves 30% of the tickets** after either you or your head of ops **spent hundreds of hours finding and creating examples to train the bot.** (A notable portion of which are customers who just rage quit and counted as contained)\n\n## **✨ Our Solution**\n\n### Automatic Answering Bot\n\n* Learn from your FAQ, past agent responses AND agent actions to **2-3x your current chatbot’s containment to 70 - 90%**\n* Give your customer **precise answers** to the question asked (**check out** [**this comparison**](https://www.loom.com/share/ef944404f6e74ce3a0ea756ecf57b78a) **of our answer bot vs. Stripe’s help center and doc, and try it yourself** [**here**](https://stripe-demo.opensight.ai))\n* **More than just a simple embeddings search fed into GPT** - our proprietary algorithm uses statistical modeling to adjust answer relevancy and filter out irrelevant or case-specific content to ensure vetted and up-to-date answers\n* Promptly perform the actions that your customers request when the right conditions are met\n\n### Agent Assist\n\n* Draft answers and allow agents to **perform lengthy yet repetitive actions** with **a single click**, saving up to **80% of handle time**\n* Surface the **relevant customer data** at the **right time** to give your agents confidence without cluttering their workspace with unnecessary details\n\n  ![uploaded image](/media/?type=post&id=69276&key=user_uploads/699631/93ad40ec-16f6-4bca-8ca7-581efe7ac9c3)\n\n\n## **⚙️ How it works**\n\n1. An initial call to understand your needs - We **support multiple languages** and **integrations** (Zendesk, Intercom, Front, and more)\n2. Signing a data-sharing agreement for us to analyze your support data and present you with an automatability report with real backtest results using our bot and a tailored solution set\n3. 3-month pilot where we will be your consultant **customizing integrations and features just for you** and making sure we deliver on the promise; **no engineering lift from your end**\n4. An official rollout with our solution set, which will then become completely self-served\n\n## **🙏 Our ask**\n\n* If your team is overwhelmed by the number of support tickets - with > min (100+ tickets/daily, 3 customer support agents), let us help you by scheduling a call with us [here](https://usemotion.com/meet/OpenSight/xvxpkhl?d=30)\n* If you believe someone you know might need our help, we’d love to be connected at [vickie@opensight.ai](mailto:vickie@opensight.ai).\n* If you like what we are building, share and upvote!\n\nThank you so much!",
        "url": "https://www.ycombinator.com/launches/I1M-opensight-automate-your-customer-support-questions-and-actions",
        "votes": 73,
        "created_at": "2023-02-14T16:51:24.428Z"
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    "id": 27819,
    "name": "FlexWash",
    "slug": "flexwash",
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    "website": "https://www.flexwash.com/",
    "all_locations": "Temecula, CA, USA",
    "long_description": "Car washing is a $15B market in dire need of disruption. Legacy systems are costly, out of date, and inflexible. We are building modern solutions to help car wash operators manage and grow their business.",
    "one_liner": "The operating system for the car wash industry.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677718228,
    "tags": [
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      "Subscriptions",
      "Retail",
      "SMB"
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    "batch": "Winter 2023",
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    "stage": "Early",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "In 2019 I took over the family business, a 20 year old full service car wash. This business had no subscription program, which by this point had become a popular thing in the car wash industry. The site was also surrounded by several well established competitors.\\\\Instead of offering an identical subscription model that gave customers a single wash unlimited I wanted to do something different. Our subscription gave customers more flexibility and combined multiple packages from our menu, allowing them to both clean the car themselves and take advantage of options where we cleaned the car for them all for a recurring monthly fee.\\\\I searched the industry for a solution that would help me do this and found none. All existing solutions were inflexible and came with quotes over $100K. This wasn’t going to work for us, so I built a custom solution and shortly after other car washes were interested in using it as well."
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    "year_founded": 2021,
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        "user_id": 968288,
        "full_name": "Karan Toor",
        "title": "Founder",
        "founder_bio": "Been writing B2B SaaS software for over a decade, noticed car wash software was especially behind. Interested in math puzzles and economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/currentoor/",
        "x_url": "https://twitter.com/CurrenToor",
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      {
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        "full_name": "Chirag Toor",
        "title": "Founder",
        "founder_bio": "I'm a co-founder of FlexWash. I've been writing software for over 10 years and running my family car wash with my brother for 4 years. We ran into several pain points trying to run our car wash with existing solutions, so we built our own.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chirag-singh-toor-94713aa7",
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        "id": 69970,
        "title": "🚘💦FlexWash - An operating system for car washes",
        "tagline": "We make all the software car washes need to manage operations and revenue.",
        "body": "Hi, we’re [Chirag](https://bookface.ycombinator.com/user/165993) and [Karan](https://bookface.ycombinator.com/user/968288), founders of [Flex Wash](https://www.flexwashtech.com/), based in Temecula CA. We have decades of software development experience and ran a car wash ourselves.\n\n**Flex Wash is an operating system for the car wash industry. We help owners manage their operations and grow their revenue.**\n\nCar washing is an industry no one ever thinks about, especially software companies. But they should! This is a $15B industry that is rapidly evolving with publicly traded companies and franchises entering the space for the first time in history.\n\n### **The Problem**\n\nCar washes have complex technology needs beyond just normal retail\n\n* 🚗 License plate recognition and tracking\n* 💰 Monthly subscription management\n* 🧑 Customer retargeting\n* ⚙️ Complex maintenance for equipment that costs up to $1M\n\nCurrent solutions in this space are\n\n* 💲 Costly, charge big upfront fees for custom hardware (up to $100K)\n* 📟 Out of date, require ancient versions of Windows on-premise servers\n* 🩼 Inflexible, software is sold in static licenses rather than as a service\n\n### **The Solution**\n\nWe offer car wash operators a system that is:\n\n* 😺 Affordable, just a monthly SaaS fee\n* 📱 Compatible with generic hardware (< $700)\n* ☁️ Runs in the cloud, operators can focus on car washing, not servers\n* 💰 Modern, we use vehicle wash history to funnel customers to high-margin subscriptions\n\n### We know this because we ran a car wash ourselves. We faced these issues first hand and that is why we got together to build FlexWash. Our solution not only saves operators money but helps them better manage operations and boost revenue.\n\n\\\n**The Ask**\n\n* **Own a car wash? … We’d love to give you a demo**\n* **Don’t own a car wash? … Refer anyone in your network, especially your favorite car wash, please.**\n* **Car wash enthusiast? … We’d love to chat.**\n\nReach us at [karan@flexwashtech.com](mailto:karan@flexwashtech.com).",
        "url": "https://www.ycombinator.com/launches/ICY-flexwash-an-operating-system-for-car-washes",
        "votes": 41,
        "created_at": "2023-03-06T18:25:19.584Z"
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    "id": 27820,
    "name": "LaunchFlow",
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    "website": "https://www.launchflow.com/",
    "all_locations": "Eugene, OR, USA; Remote",
    "long_description": "Still cooking...\r\n\r\nReach out to josh@launchflow.com if you'd like early access.",
    "one_liner": "Collaborative workspace for internal tools and agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1675872738,
    "tags": [
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      "B2B",
      "Operations",
      "AI"
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    "batch": "Winter 2023",
    "status": "Active",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/launchflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/launchflow.json",
    "year_founded": 2023,
    "city": "Eugene",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/launchflow-inc/",
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      {
        "user_id": 808343,
        "full_name": "Josh Tanke",
        "title": "Founder",
        "founder_bio": "Previously helped scale data & ml infra at Google[X] and Google Life Sciences.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josh-tanke",
        "x_url": "https://twitter.com/josh_tanke",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c649a4cb7f132d3ad990c2cf36ec6e0f0b9d86ff.jpg"
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      {
        "id": 87449,
        "title": "Infra.new - AI Copilot for Cloud DevOps",
        "tagline": "Save money and ship faster on AWS, GCP, and Azure.",
        "body": "**tl;dr**\\\n[**infra.new**](http://infra.new) is an AI DevTool that configures your cloud infrastructure for cost and security.\n\nYou can set up your entire infrastructure stack from scratch or import your GitHub repository to optimize your existing configuration.\n\nTry it now at [**infra.new**](http://infra.new) – no signup required.\n\n![uploaded image](/media/?type=post&id=87449&key=user_uploads/808343/7e666222-a6d5-4cc8-887e-f341c3d8f10d)\n\n---\n\n---\n\n—\n\n---\n\nHey everyone,\n\nWe're excited to launch [**infra.new**](http://infra.new)—your AI Copilot for Cloud DevOps.\n\nThe cloud is complicated. Engineering teams waste countless hours configuring Infrastructure as Code, CI/CD pipelines, and other related DevOps tooling. Whether you’re setting up a new project or reconfiguring an existing one, manual configurations and unpredictable costs can slow you down.\n\nWe’re building an AI agent specialized in configuring the cloud so engineering teams can focus on shipping their product without sacrificing control or cost.\n\n### **Problems with LLMs and DevOps**\n\n* **Stale Documentation & Configuration Errors:**\\\n  LLMs often reference outdated docs and hallucinate fields that don’t exist, resulting in misconfigurations that can cost you time and money.\n* **Hidden Cloud Costs:**\\\n  A single tweak can unexpectedly spike your expenses. Without clear visibility, planning your budget is a guessing game.\n* **Lack of Context:**\\\n  General-purpose coding agents are great at updating application code, but often struggle to find the subtle connections between different configuration files.\n* **Bad Training Data:**\\\n  LLMs will generate an average of the content they see online, but the average cloud configuration online is messy and filled with bugs. Most IaC on Reddit is related to junior devs asking about their configuration.\n\n### **Our Solutions**\n\n* **Fresh Documentation:**\\\n  The agent pulls the latest documentation for Terraform, GitHub Actions, and other tools before every change, ensuring your configurations are accurate and current.\n* **Real-Time Cost Calculator:**\\\n  You can see a complete breakdown of your cloud costs update in real-time as your configuration changes, so you know exactly how much it will cost before you deploy.\n* **Automated Error Detection & Fixes:**\\\n  A dedicated language server scans your configuration for issues and applies fixes automatically, reducing manual debugging.\n* **Expert-Guided Best Practices:**\\\n  The agent has access to a corpus of expert human examples that it references to produce configuration that is optimized for performance and security.\n* **Two-Way GitHub Sync:**\\\n  Import your existing Terraform, see what it currently costs, ask the agent to look for optimizations, then export any changes back to GitHub.\n\n### **Demo**\n\nWatch me use [infra.new](http://infra.new) to reduce our AWS bill from $400 to $150 with little to no effort in the video below\n\n[Infra.new](http://Infra.new) [Demo - AWS](https://www.loom.com/share/3b7d85b25fd94cfd93ca19c39c188618?sid=f9ca58ca-6bd3-4b97-bd3b-46c842ea8160)\n\n### **Contact Us**\n\nIf you have any questions or feedback, please feel free to reach out!\n\nEmail the founders at [founders@launchflow.com](mailto:founders@launchflow.com) or book some time to chat at <https://calendly.com/josh-from-launchflow/chat>",
        "url": "https://www.ycombinator.com/launches/MkT-infra-new-ai-copilot-for-cloud-devops",
        "votes": 18,
        "created_at": "2025-02-05T19:28:23.002Z"
      },
      {
        "id": 82326,
        "title": "LaunchFlow - A Terraform / Pulumi alternative for Python developers",
        "tagline": "Automate infrastructure on GCP and AWS with Python",
        "body": "[**LaunchFlow**](https://launchflow.com/) is an Infrastructure as Code Python SDK that extends OpenTofu with features like [**multi-environment support**](https://docs.launchflow.com/docs/concepts/environments), [**autoconfigured infrastructure clients**](https://docs.launchflow.com/docs/concepts/resources), and [**API release management**](https://docs.launchflow.com/docs/concepts/services).\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82326&key=user_uploads/808343/d6958b07-d5be-4547-b751-173b033339c5)\n\nYou can add GCP / AWS infrastructure to your app with a single line of code - all infrastructure types ship with built-in clients that automatically connect to your infrastructure across multiple environments. Includes integrations with [**FastAPI**](https://docs.launchflow.com/docs/framework-guides/fastapi), [**Flask**](https://docs.launchflow.com/docs/framework-guides/flask), and [**Django**](https://docs.launchflow.com/docs/framework-guides/django).\n\n**Try it out**\n\nIt only takes 3 commands to launch your first app to GCP or AWS\n\n1. install the Python SDK with pip\n\n   ```\n   $ pip install launchflow \n   ```\n2. setup launchflow in any Python project\n\n   ```\n   $ lf init \n   ```\n3. deploy everything used in your code to GCP / AWS\n\n   ```\n   $ lf deploy {env} \n   ```\n\nFollow the [**Get Started Guide**](https://docs.launchflow.com/docs/get-started) to launch an example FastAPI app in a matter of minutes.\n\nNo account required.\n\n**Easily collaborate with your team**\n\nLaunchFlow Cloud is an optional service you can use to create collaborative cloud environments that automatically share infrastructure, configuration, and secrets with your team. You can also access preconfigured GitHub release pipelines, audit logs, RBAC security, and more.\n\n![](https://www.launchflow.com/_next/image?url=%2Fhome%2Fconsole.png&w=2048&q=75)\n\nYou and a teammate can try LaunchFlow Cloud 100% free forever - signup at [**console.launchflow.com**](http://console.launchflow.com/) to get started.\n\n**Contact us**\n\nIf you are interested in anything mentioned above, we would love to hear from you!\n\nYou can email us at [**team@launchflow.com**](mailto:team@launchflow.com) or book some time on [**my calendar**](https://calendly.com/josh-from-launchflow/chat).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/LPq-launchflow-a-terraform-pulumi-alternative-for-python-developers",
        "votes": 4,
        "created_at": "2024-07-22T20:54:00.610Z"
      },
      {
        "id": 80185,
        "title": "LaunchFlow: A better developer experience on GCP and AWS",
        "tagline": "The easiest way to build Python apps on GCP and AWS",
        "body": "## **TLDR**\n\n[**LaunchFlow**](https://www.launchflow.com/) manages cloud environments in your own GCP / AWS account that are secure, scalable, and cost-effective by default. Import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to your cloud with a single command.\n\n—\n\nLaunchFlow is an [**infrastructure-from-code**](https://infrastructurefromcode.com/) tool that aims to dramatically improve your developer experience on GCP and AWS. We automatically deploy infrastructure to dedicated environments in your cloud as you use it in your code and ensure it's configured for both local development and production deployments.\n\n## **The Problem**\n\nWe believe managing and using cloud infrastructure is far more complex than it should be. It's hard to set up deployment pipelines. It's frustrating to run your application locally. It's annoying to keep your cloud configuration in sync with your application code.\n\nMost teams cobble together their own DevOps automations using a mixture of Terraform, Pulumi, custom scripts, and environment variables. These automations are great when they work but are often brittle and eventually become the main source of overall system complexity.\n\nWe believe there's a better way.\n\n## **The Way**\n\n![](https://lh7-us.googleusercontent.com/86TIu-MtInbRpmbfJWeL50XX54rQ0LV8KadWXaHHZJyZ9pmJ6ZMCKUwHoDLmDDukyiDubynyYQShtBsOLdrrdf08-ZYYEflSKKUIhrb7x9OY8YMNs_OBI_0ydBleeUpuU-jZqe2ycmB_N-PynbDzc7U)\n\nUse LaunchFlow’s Python SDK to import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to dedicated environments in your cloud with a single command.\n\nEverything in the LaunchFlow ecosystem is fully configured for local development and cloud deployments by default.\n\n**Environments**\n\nLaunchFlow **deploys** and **manages** your infrastructure inside [**Environments**](https://docs.launchflow.com/docs/concepts/environments) that run in your own cloud account. These Environments satisfy most compliance requirements by default and are automatically configured for cost, security, and reliability.\n\n![](https://lh7-us.googleusercontent.com/Qa6mHTluFv0JTJqD6JwWs9vzQHmZxtn5j54fqvXUTmieIg20B7nBtZIrTOJ3SquGLPJaYtHvGHUKMuHOmv1zLJge7zLy5KYr8pNzmeSX3abNorK2DQ3I2_2iV6qNP6bRMsh80d1jZFUpjUmAURGpLcY)\n\n**Resources**\n\nYou can **create** and **connect** to cloud [**Resources**](https://docs.launchflow.com/docs/concepts/resources) in an Environment by simply importing them into your code. Our SDK provides ready-to-use client APIs for every Resource so you can immediately start using them in your application both locally and when deployed.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/085c12a5-8f53-44b9-8a97-1799f53ff2f4)\n\n**Deployments**\n\nYou can **build** and **deploy** Python applications in the same environment as your resources with a single command. LaunchFlow [**Services**](https://docs.launchflow.com/docs/concepts/services) lets you deploy your APIs to GCP / AWS with all resource permissions and networking settings automatically configured. We will be adding Jobs and Notebook deployments in the next couple of months.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/b7c23093-c085-4a3d-97ac-60ebb78d92f5)\n\n## **Works anywhere that Python runs**\n\nLaunchFlow Resources manages its own configuration and can be plugged into any existing Python app. We’re framework-agnostic and work anywhere that Python runs - we also include a library of common utilities for building FastAPI, Flask, and Django apps on the cloud.\n\n## **Why not just use Terraform / Pulumi?**\n\nTools like Terraform and Pulumi make it easy to automate cloud infrastructure, but there is still an added cost of maintaining a separate IaC tool and keeping it in sync with your application encode.\n\nOn top of this, these tools only help you create the infrastructure, but they don't help you actually _use_ it. Engineers can spin up infrastructure in a few minutes, but they'll often spend the rest of the day (or longer) stumbling through docs and blogs, trying to figure out how to actually connect it to their application.\n\nThings only get worse once you add a release pipeline into the mix and now need to figure out how to structure your code to work across multiple environments.\n\nThis creates a tradeoff between automation and overall system complexity, which is why many teams put off IaC practices until they can afford a DevOps engineer/team to maintain the automations for the company.\n\n## **Our ask**\n\nWe are looking for pilot users who would like to start using LaunchFlow today.\n\nIf you’re interested in using LaunchFlow, please email me at [**josh@launchflow.com**](mailto:josh@launchflow.com) or schedule a demo call using my [**Calendly**](https://calendly.com/josh-from-launchflow/one-on-one-with-josh-founder).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/KrJ-launchflow-a-better-developer-experience-on-gcp-and-aws",
        "votes": 8,
        "created_at": "2024-04-15T17:39:39.355Z"
      }
    ]
  },
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    "id": 27821,
    "name": "PoplarML",
    "slug": "poplarml",
    "former_names": [
      "Poplar"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e108e35156cecf90efeb1f504d510fca87ce7b44.png",
    "website": "http://poplarml.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "PoplarML lets you deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command.",
    "one_liner": "Deploy Machine Learning Models with One Command",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1674681330,
    "tags": [
      "AIOps",
      "Machine Learning",
      "B2B",
      "API",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/poplarml",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/poplarml.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/poplarml/",
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        "user_id": 522488,
        "full_name": "Danna Liu",
        "title": "Founder",
        "founder_bio": "Co-Founder of PoplarML, Previously Research @ Snap, SWE @ Stripe, Coinbase, Microsoft, PagerDuty",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dnaliu",
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      {
        "user_id": 556433,
        "full_name": "Evan Chu",
        "title": "Founder",
        "founder_bio": "Co-Founder @ PoplarML. Previously SWE @ Stripe, Amazon, AWS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evan-j-chu/",
        "x_url": "https://twitter.com/evan_j_chu",
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    "launches": [
      {
        "id": 69447,
        "title": "🌳 PoplarML – Deploy machine learning models with one command",
        "tagline": "Deploy any machine learning model to a fleet of GPUs as a ready-to-use and scalable API endpoint with one command",
        "body": "👋 Hey Everyone, this is Danna and Evan, and we’re super excited to introduce PoplarML!\n\n### 📖 **TL;DR**\n\nBuilding deployment infrastructure for machine learning models is difficult and time-consuming. With PoplarML, you can replace that process with one simple command. We handle all of the infrastructure to deploy and serve at scale, enabling you to focus on building your product.\n\n### ❌ **The Problem**\n\nAI-powered products have grown in popularity but many are deterred by the challenges to bring their models to life. Deploying a machine learning model to production is complex and requires a heavy engineering lift. Building the infrastructure to support ML models takes days, increasing the time to ship your product. \n\n## ⚡ **The Solution**\n\nPoplarML helps teams easily deploy custom machine-learning models to production. With one simple CLI command, you can turn your model into an API endpoint that you can integrate with the rest of your product. Our endpoints come with auto-scaling out of the box, ensuring low-latency when there are bursts of requests to your model.\n\nPoplarML can deploy any custom model, regardless of the framework used. Some examples of models that our customers have deployed on PoplarML are: \n\n* Flan-T5-XXL\n* Whisper\n* Stable-Diffusion-2\n\n### 🤖 **How it Works**\n\n1. ✏️ Define a Load and Predict function in a [main.py](http://main.py) file\n2. 💻 Use our CLI tool to pick a GPU instance and deploy your model\n3. 🚀 Use the returned API endpoint in your product\n\n![uploaded image](/media/?type=post&id=69447&key=user_uploads/522488/30758efd-4ce3-48d0-94be-e43093ad027f)\n\n### 💡 **Why PoplarML was Built**\n\nWe have personally felt the pain of deploying models to production and have previously built ML deployment infrastructure at companies such as Amazon and Snapchat. With PoplarML, we would like to provide a better and more streamlined experience for ML development. \n\n### **🙌 Our Asks**\n\n* Reach out via our [contact us](https://poplarml.com/contact.html) form or book a time directly on our [calendly](https://calendly.com/poplarml/15min) if you want to try PoplarML\n* Share this with anyone you know building AI-powered products or companies\n* Upvote and share this post!",
        "url": "https://www.ycombinator.com/launches/I47-poplarml-deploy-machine-learning-models-with-one-command",
        "votes": 297,
        "created_at": "2023-02-20T18:57:45.405Z"
      }
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  },
  {
    "id": 27824,
    "name": "Coperniq",
    "slug": "coperniq",
    "former_names": [],
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    "website": "https://coperniq.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coperniq is workflow software for solar & energy contractors.\r\n\r\nIt cuts soft cost per installation by $3K (17% of total cost) & accelerates project completion by 45 days (30% of project timeline).\r\n\r\nWe replace Salesforce, spreadsheets, pencil-&-paper, & other hacky workarounds with an industry-specific application for the underserved energy workforce. \r\n\r\nMain benefits for our customers \r\n1. Finish projects faster and cheaper: Our platform cuts 17% of soft costs, allowing contractors to deploy more projects, faster, and cheaper, with 5-star customer experience every time\r\n2. Turn costly (often unprofitable) service calls into a revenue engine: By integrating with hardware OEMs (Enphase, SolarEdge, etc...), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue\r\n\r\nCoperniq does all this and much more in one beautiful platform!\r\n\r\nAre you or someone you know running or thinking about starting a solar company? [Schedule a call with us :)](https://calendly.com/coperniq-sales/discovery-web-v2 )",
    "one_liner": "Workflow software for solar & energy contractors ☀️😎",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1677047552,
    "tags": [
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      "Solar Power",
      "B2B",
      "Climate",
      "Renewable Energy"
    ],
    "tags_highlighted": [],
    "top_company": false,
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    "batch": "Winter 2023",
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      "America / Canada",
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      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/coperniq",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/coperniq.json",
    "year_founded": 2021,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://www.linkedin.com/company/69833957",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 869130,
        "full_name": "Abdullah Al Zandani",
        "title": "Founder",
        "founder_bio": "sales&ops @ two solar companies || energy efficiency building auditor @ ADM | B.S. Energy Engineering Cal '21",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/azandani/",
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      {
        "user_id": 541919,
        "full_name": "Max Kazakov",
        "title": "Founder",
        "founder_bio": "Skills: Software, Data, UX/UI;\nEdu: CS & Philosophy @ UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mxkzk/",
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        "title": "Coperniq raises $4M seed round to bring SaaS to solar installers | TechCrunch",
        "url": "https://techcrunch.com/2023/11/06/coperniq-seed-round",
        "date": "Nov 06, 2023"
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        "id": 69996,
        "title": "😎☀️ Coperniq — Workflow software for solar & energy contractors",
        "tagline": "Coperniq automates the entire solar workflow so contractors can focus on growing their business & helping more homeowners go solar!",
        "body": "What’s up YC 👻 , Max & Abdullah here - co-founders of [Coperniq](https://www.coperniq.io/) (W23).\n\n# **🏃‍♂️ TL;DR**\n\nCoperniq is workflow software for solar & energy contractors. It cuts soft cost per installation by **$3K (17% of total cost)** & accelerates projects by **45 days (30% of project timeline)**.\n\nIt automates the entire workflow so contractors can focus on growing their business & helping more homeowners go solar 😎☀️\n\n# **🤯 Problem**\n\nAbdullah used to work in the solar industry, first in the sales department, and later in operations management.\n\nHe witnessed first-hand that while **“going solar”** was a no-brainer and took consumers 5 minutes, the process of getting a solar system **turned on** was a nightmare for companies and customers alike, taking 6-9 months instead of the promised 90 days. \\\n\\\nThis is because despite being one of the most important industries of our lifetime, solar is in the dark ages technologically. Bloated Salesforce instances, spreadsheets with 300+ columns, and pencil-and-paper workflows in the field…\n\nThis results in project managers working 60-hour weeks, human error & delays at every step of the process, and some of the [worst customer experience](https://www.facebook.com/watch/?v=1877039252445470) in the entire home improvement sector.\n\n# **💡 Solution**\n\nCoperniq is the first industry-specific platform for the underserved energy workforce. It helps…\n\n## **1\\. Finish projects faster and cheaper**\n\nOur platform cuts up to 25% of soft costs, allowing contractors to deploy more projects, faster, and cheaper; with 5-star customer experience **every time**.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/dc586ac8-2cc9-4216-a3ff-95737f8c9942)\n\n### **2\\. Turn costly (often unprofitable) service calls into a revenue engine**\n\nBy integrating with hardware OEMs (Enphase, SolarEdge, etc…), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/2e40aa5b-e1cd-4413-9efc-4780e32d1f28)\n\n# 🙏 **Ask**\n\nAre you or someone you know running (or thinking of starting) a solar company?\n\n* Email us at [team@coperniq.io](mailto:team@coperniq.io)\n* or [schedule a call here :)](https://calendly.com/coperniq-sales/discovery-web-v2)",
        "url": "https://www.ycombinator.com/launches/ICy-coperniq-workflow-software-for-solar-energy-contractors",
        "votes": 28,
        "created_at": "2023-03-07T05:46:34.556Z"
      }
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    "id": 27825,
    "name": "CreatorML",
    "slug": "creatorml",
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    "website": "https://creatorml.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "CreatorML builds predictive AI for video virality to help businesses scale their social media strategy. ",
    "one_liner": "Foundation Model for Human Attention",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1675377088,
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    "url": "https://www.ycombinator.com/companies/creatorml",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/creatorml.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/creatorml",
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    "founders": [
      {
        "user_id": 11191,
        "full_name": "Charles Weill",
        "title": "Founder",
        "founder_bio": "Founder of CreatorML. I help YouTubers grow by choosing better ideas, titles, and thumbnails using cutting-edge AI/ML. Ex-GoogleAI Machine Learning Research. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/cweill/",
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    "jobs": [],
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    "launches": [
      {
        "id": 70111,
        "title": "CreatorML - ML-Powered Predictive Analytics for YouTube Creators",
        "tagline": "We help YouTubers choose better topics, titles, and thumbnails to make more money.",
        "body": "Howdy, [**Charles Weill**](https://www.linkedin.com/in/cweill/) here! 👋🏼\\\n\\\nI’m the founder of [**CreatorML**](https://creatorml.com/), a ML-powered web-based tool _and_ Chrome Extension that helps YouTube Creators predict which topics, titles, and thumbnails will get the most views before they upload.\n\nFor context, prior to June 2022, YouTube paid out over $50B in advertising rev-share to its creators.\n\n### The Problem\n\n* Success on YouTube is determined by views, yet creators have no way of quantifying the number of views their videos will receive.\n* To try and uncover the winning formula, many churn through as many videos as possible and quickly burn out.\n* YouTubers are drowning in analytics data, but only the largest creators can afford to hire data science teams to get actionable insights.\n* The biggest determinant of success on YouTube is the quality of topics, titles, and thumbnails.\n\n### Our Solution:\n\n* We developed a proprietary machine learning algorithm that analyzes millions of video datapoints to create a reliable, scalable predictive model.\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7f575fb2-03c9-4d68-9b09-dea25839a408)\n\n* Our view predictors allows creators to understand how small changes like reducing the character count of a title, or changing the colors of a thumbnail image can make a meaningful difference in video views.\n* By removing bias when creators select a title and thumbnail, CreatorML ensures long-form videos are objectively packaged to attract and engage the largest audience possible. \n* While CreatorML is starting with topics, titles and thumbnails, our vision is to create a complete predictive ecosystem that guides creators through every step of the creative process.\n\n### The Team\n\n* Before founding CreatorML, I was technical lead in applied machine learning at Google Research for 7 years, using deep learning to improve critical algorithms in Cloud AutoML, Ads, Search, and YouTube.\n* I’m also a part-time [YouTube Creator](https://www.youtube.com/channel/UCjDKKm48cjwdPvM38Kk1_-w).\n* I realized that I found a pain point when I began [tweeting about simple analyses of YouTube analytics data](https://twitter.com/CharlesWeill/status/1535310836926922752), and many of the biggest YouTubers in the industry began following me.\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/6ad9c037-1b31-4779-89cb-87e65e2a7c97)\n\n\n### How You Can Help:\n\n* Try our demo to get view predictions for channels such as [MrBeast](https://creatorml.com/channels/2563/ranker/), [Aphmau](https://creatorml.com/channels/437/ranker/), and [MKBHD](https://creatorml.com/channels/468/ranker/).\n* If you’re a YouTube Creator with over 100,000 subscribers, let’s connect at [founders@creatorml.com](mailto:founders@creatorml.com), and I’ll onboard you with a custom view predictor for your channel.\n* If you’re not a YouTuber, you should download our [Chrome Extension for YouTube](https://chrome.google.com/webstore/detail/creatorml-for-youtube/flcnlfhmbofndllkfdnkkbcbopllimfb). It’s totally free, and shows you when YouTubers change their titles and thumbnails, so you can learn what works and what doesn’t for when you begin making your own content:\n\n  ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7926c1f9-565e-4732-afef-0162003440e7)\n\n",
        "url": "https://www.ycombinator.com/launches/IEp-creatorml-ml-powered-predictive-analytics-for-youtube-creators",
        "votes": 109,
        "created_at": "2023-03-10T02:37:51.838Z"
      }
    ]
  },
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    "id": 27832,
    "name": "Trigo",
    "slug": "trigo",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4995777223c0a6941873d356643ed969835aea5.png",
    "website": "https://trigodata.com/",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Trigo aggregates consumer rent history to help landlords approve better tenants and lenders write more loans. No solution exists to consistently furnish this rent verification to landlords and lenders today. The largest database has only 3% coverage of rent data.\r\n\r\nTrigo is a Consumer Reporting Agency (CRA) that provides this missing rent data set through a real-time API and web application. We are repeat founders with consumer data and finance experience across Harvard, Citigroup, Experian, and Amazon.",
    "one_liner": "Rent verification API for landlords and lenders",
    "team_size": 4,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1675306671,
    "tags": [
      "Fintech",
      "B2B",
      "Proptech",
      "API",
      "Enterprise"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/trigo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/trigo.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trigo-data/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 741033,
        "full_name": "Sam Stein",
        "title": "Founder",
        "founder_bio": "Sam is the Co-founder & CEO of Trigo. Sam joins Trigo as a repeat founder previously in the food tech space. Prior to that, he spent 8 years in finance and private company investing at Citi, Richard Branson's Virgin Group, and RedBird Capital. Sam is a mission-driven founder excited about social impact. Born and raised in Atlanta, GA. Currently based in New York City. Sam has a B.A. in Government from Harvard.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-s-8300188/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4613485b3a1220dd854a1c7d0720afa23c808235.jpg"
      },
      {
        "user_id": 1092278,
        "full_name": "Abe Wheeler",
        "title": "Founder",
        "founder_bio": "Abe built Trigo (YC W23), the first API for consumer rent data. Trigo was acquired by Snappt in August 2025.\n\nAbe is currently building the agent operations platform at Alignbase.\n\nBefore Trigo, Abe built AI adtech systems at Amazon. He has a B.S. in Computer Science from the University of Southern California.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abrahamwheeler/",
        "x_url": "https://x.com/AbeWheeler5",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54bcac822afe309a0b8920baa84fcd3f24b81aea.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Snappt Acquires Trigo, Secures $50M Growth Financing - Los Angeles Times",
        "url": "https://www.latimes.com/b2b/ai-technology/story/2025-08-06/snappt-acquires-trigo-secures-50m-growth-financing",
        "date": "Aug 06, 2025"
      },
      {
        "title": "Snappt Acquires Trigo to Strengthen Trust Infrastructure in Multifamily Leasing - Multifamily Executive",
        "url": "https://www.multifamilyexecutive.com/technology/snappt-acquires-trigo-to-strengthen-trust-infrastructure-in-multifamily-leasing",
        "date": "Aug 05, 2025"
      },
      {
        "title": "Snappt Acquires Trigo to Enhance Applicant Trust Platform for Multifamily Housing, Secures $50M Growth Financing",
        "url": "https://finance.yahoo.com/news/snappt-acquires-trigo-enhance-applicant-160000786.html",
        "date": "Aug 04, 2025"
      },
      {
        "title": "Snappt Acquires Trigo to Enhance Applicant Trust Platform for Multifamily Housing, Secures $50M Growth Financing – Company Announcement - FT.com",
        "url": "https://markets.ft.com/data/announce/detail?dockey=600-202508051200BIZWIRE_USPRX____20250805_BW739999-1",
        "date": "Aug 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 69852,
        "title": "🏠 Trigo 🏠 Rent data API for landlords and lenders",
        "tagline": "Approve better tenants & write more loans with rent data",
        "body": "Hi! We’re [Sam](https://www.linkedin.com/in/samsonstein/) & [Abe](https://www.linkedin.com/in/abrahamwheeler/), founders of [Trigo](https://trigodata.com/).\n\n**TLDR:** **Trigo** aggregates **consumer rent history** to help **landlords approve better tenants** and **lenders write more loans**. We have **25x more coverage** than the credit bureaus, and we’ve already consolidated **tens of thousands of rental units** to provide data instantly.\n\n![uploaded image](/media/?type=post&id=69852&key=user_uploads/1092278/edd9cd08-b7d8-48f6-8830-8a7d9f3d4731)\n\n## ❓ Rent Data is Missing\n\n🏠 **Landlords**: **Bad debt & evictions are at all time highs** in the U.S., and landlords need more data for added protection across the **60+ million tenants screened annually**. Applicants with positive rent history are **4x more likely** to pay their rent on-time and in full.\n\n🏦 **Lenders**: In 2021, financial institutions including Fannie Mae and Freddie Mac added rent payment data to their underwriting models to expand access to credit. Without rent data to input into these models, **lenders are writing 17% fewer loans than they could**. That’s a lot of missed loans across the **300 million consumer loan originations** annually in the U.S.!\n\n❌ **No solution exists** to consistently furnish this data to landlords and lenders today. The largest database has only **3% coverage** of rent data.\n\n## 🔌 Trigo Rent API\n\n**Trigo** is a federally regulated **Consumer Reporting Agency (CRA)** that provides this missing rent data set through a **real-time API** and web application. We’ve already consolidated **tens of thousands of rental units** to provide **instant data**. Where we don’t yet have data coverage, we **automate outreach** to landlords.\n\n## 👋 About Us\n\nWe’re repeat founders with consumer data and finance experience across Experian, Citigroup, and Amazon.\n\nTrigo began when Sam pulled his own credit report and realized not one of his landlords over the past decade had reported a single month’s rent payment to the credit bureaus. With a little research, we discovered that **this data has only 3% coverage in the market today**.\n\nSam met Abe through [YC cofounder matching](https://www.ycombinator.com/cofounder-matching) (amazing product - 🤝 YC!), and the rest is history.\n\n## 🙏 Our Ask\n\nThanks for reading about us. If you or someone you know is interested in our data, you can reach us at [**contact@trigodata.com**](mailto:contact@trigodata.com). In particular, we would love to talk to:\n\n1. **Landlords**\n2. **Property managers**\n3. **Proptech providers**\n4. **Lenders**: financial institutions or fintechs—mortgages, personal loans, credit cards, auto loans, etc.",
        "url": "https://www.ycombinator.com/launches/IAe-trigo-rent-data-api-for-landlords-and-lenders",
        "votes": 78,
        "created_at": "2023-03-01T22:01:50.095Z"
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  },
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    "id": 27834,
    "name": "Bluebirds",
    "slug": "bluebirds",
    "former_names": [
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      "Bluebirds AI"
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    "website": "https://www.bluebirds.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bluebirds helps GTM teams automate outbound targeting with signals. Save your reps 2 hours a day from list building and prospect research. \r\n\r\nCreate custom intent signals from trusted data sources in 3 minutes. Bluebirds continuously scans your market and delivers ready-to-prospect Leads to your CRM.",
    "one_liner": "Automate outbound with signals",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1676435630,
    "tags": [
      "B2B",
      "Sales",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bluebirds",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/bluebirds.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
      {
        "user_id": 987806,
        "full_name": "Rohan Punamia",
        "title": "Founder",
        "founder_bio": "Rohan started his career at LinkedIn in Sales Operations, where he built an automated quota setting engine for a $1B+ business and 500 reps using Machine Learning and LinkedIn’s Knowledge Graph. He later became a zero-to-one Product Manager, where he built enterprise products for LinkedIn's Talent business -- once again using Machine Learning and the Knowledge Graph.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohanpunamia/",
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      },
      {
        "user_id": 636982,
        "full_name": "Kunal Punera",
        "title": "Founder",
        "founder_bio": "Kunal has held leadership positions at LinkedIn and Google; most recently he was a Director of AI at LinkedIn where he ran AI teams for the Recruiter, Premium, and Learning products, accounting for many billions in revenue. In 2014, Kunal co-founded Bento Labs, and prior to that he was a founding engineer at RelateIQ (sold to Salesforce for ~$400M) where he built their entire ML stack. Kunal has a PhD in ML from Univ of Texas at Austin, and worked at Yahoo! Research on NLP and Generative Models.",
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    "news": [
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        "title": "Bluebirds bags $5M for sales AI that finds the 'best leads first' | VentureBeat",
        "url": "https://venturebeat.com/ai/bluebirds-bags-5m-for-sales-ai-that-finds-the-best-leads-first/",
        "date": "Oct 18, 2023"
      }
    ],
    "launches": [
      {
        "id": 69546,
        "title": "Bluebirds - Resell to past customers who switched jobs",
        "tagline": "Sign up and Bluebirds will automatically identify champions using Machine Learning, detect job changes, and deliver hundreds of warm leads ranked by your ICP. Oh, and it's free.",
        "body": "### **TL;DR**\n\n* **What:** Bluebirds helps outbound teams resell to past customers who have switched jobs. Past customers are **4x more likely to convert to Closed / Won deals** with **much faster sales cycles.** It’s low hanging fruit and flies under the radar because of stale CRM data and workflow limitations.\n* **How:** Any sales rep, manager, or rev ops can sign up on [www.bluebirds.com](http://www.bluebirds.com) and Bluebirds will automatically identify champions using Machine Learning, detect job changes, and deliver hundreds of warm leads ranked by your ICP.\n* **Traction:** Revenue teams at scale-ups like Front, OneSignal, and a dozen more use Bluebirds to track their customer job changes and maximize outbound efficiency.\n* **Ask: Sign up, or refer any sales teams, and we’ll deliver 100 free warm leads.**\n\n![uploaded image](/media/?type=post&id=69546&key=user_uploads/987806/859fa27a-5373-4527-8d37-2fe95c918ec1)\n\n### **Problem and why existing solutions don’t work**\n\nOutbound sales isn’t working like it used to. **Conversions rates have tanked** because every sales team is using the same tech stack to spam buyer inboxes, and sales leaders are under pressure from their CEOs and Boards to grow efficiently. But most of the **outbound sales process is not efficient at all.**\n\nLuckily there’s one sales play that works exceptionally well – reselling to your past customers who already trust your company and switched jobs. These leads, AKA _“blue birds”_, are your sales teams’ favorite. They’re layups, but also painfully difficult to track at scale.\n\n**Existing solutions like LinkedIn Sales Navigator aren’t deeply connected to your CRM**. They don’t know who your customers are or what your ICP is, and rely on **manual / brittle filters** **that break** once you have over \\~100 customers. The result is that most of your reps just aren’t tracking customer job changes.\n\nYet 10% to 20% of your CRM contacts have already switched jobs, and 1 to 2% switch every month.\n\nThis 👏 Is 👏 ARR 👏 Left 👏 On 👏 The 👏 Table 👏\n\n### **How Bluebirds works**\n\nWhat used to take reps hours to hack in Sales Navigator now happens automatically with 2 clicks and runs continuously in the background. Oh, and it’s free to get started. Here’s how:\n\n* **Sign Up:** Anyone (Founders, VPs, Managers, AEs, SDRs, Sales Ops, etc.) can [sign up on our website](https://bluebirds.com) and log in via SFDC secure authentication.\n* **Find Champions:** Our algorithms will find which contacts in your CRM are likely to buy your product again.\n* **Match Identities:** We’ll match your sparse contacts to public identities (i.e. john@hotmail is John Smith at Airtable) and check if they’ve switched jobs.\n* **Deliver Leads:** Finally we’ll rank all the leads based on similarity to your ICP and send them to you, along with monthly updates with any fresh job changes.\n\n### **Why us**\n\n![uploaded image](/media/?type=post&id=69546&key=user_uploads/987806/ab789d18-71a3-4cc5-a5bf-38e4cea98af4)\n\n[Kunal](https://www.linkedin.com/in/kpunera/) and [I](https://www.linkedin.com/in/rohanpunamia/) are well-versed with contact data and building AI systems to solve sales problems. I used to work in Sales Operations and Product at LinkedIn. Kunal was an AI Director at LinkedIn & Google, founding AI engineer at RelateIQ (sold to Salesforce), and earned his PhD in Machine Learning.\n\n### **How you can help**\n\n* **Intros to sales managers and leaders** at companies with at least a few hundred customers (usually Series B onwards). For sales orgs that fit what we’re looking for, we’ll offer free leads a no-brainer deal (seriously).\n* [**Share our website**](http://bluebirds.com) **with sales reps or relevant communities** and ask them to sign up! We’ll hook them up with leads to hit their quota.\n\nIf you have any questions or can make intros, my email is [rohan@bluebirds.ai](mailto:rohan@bluebirds.ai)",
        "url": "https://www.ycombinator.com/launches/I5i-bluebirds-resell-to-past-customers-who-switched-jobs",
        "votes": 21,
        "created_at": "2023-02-22T17:07:44.636Z"
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    "id": 27836,
    "name": "LinkGrep",
    "slug": "linkgrep",
    "former_names": [
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      "Warlin"
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    "website": "https://linkgrep.com",
    "all_locations": "Jacksonville, FL, USA; New York, NY, USA; Remote",
    "long_description": "Modern teams work in the browser. But browsers weren't built for teams 😔. \r\n\r\nThis leads to a bunch of problems like:\r\n- Knowledge/info that is hard to find (links that get lost, documentation that gets, buried, silos, etc)\r\n- Poor collaboration\r\n- Inefficient workflows\r\n\r\nLinkGrep is an AI browser copilot that solves those problems by making your browser team friendly.\r\n\r\nSpecifically we help teams:\r\n1. 🔗 Keep track of links, documents, and more automatically. With LinkGrep you'll never have to manually add or save a link.\r\n2. 🔍 Find information that matters. LinkGrep connects with your existing tools like Notion and Slack and will automatically suggest relevant information to you as your browse (we have semantic search that you can fallback on). Demo: https://youtu.be/jwcPGDRy4oQ\r\n3. 👥 Collaborate better. LinkGrep lets you leave notes and comments directly on web pages — you won't ever have to copy paste a link into Slack ever again. \r\n4. 🤖 Automate team actions like opening up the right links before a meeting. Never disrupt a meeting to send a link again. Demo: https://youtu.be/an3VKpAWft0",
    "one_liner": "AI browser copilot for teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1680284283,
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      "B2B",
      "Productivity",
      "Collaboration",
      "Remote Work",
      "AI Assistant"
    ],
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      "America / Canada",
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    "year_founded": 2023,
    "city": "Jacksonville",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/linkgrep/",
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      {
        "user_id": 6421,
        "full_name": "Divyagnan Kandala",
        "title": "Founder",
        "founder_bio": "Love working on developer & productivity tools. Previously was a frontend engineer at Stripe, Uber, and Amazon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/divyagnan",
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      {
        "user_id": 478521,
        "full_name": "TJ Kandala",
        "title": "Founder",
        "founder_bio": "Dev and productivity tool builder. Previously was a software engineer at Sourcegraph where I worked on a bunch of extensions (VS Code, Browser, and the Sourcegraph extensions platform).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tjkandala/",
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        "id": 70677,
        "title": "LinkGrep: AI browser copilot for teams",
        "tagline": "LinkGrep helps teams keep track of things and collaborate directly within the browser. ",
        "body": "**TL;DR:** LinkGrep is a browser extension that automatically keeps track of your links, suggests helpful information from your tools (like Slack & Notion) while you browse, opens links for you before meetings, and offers collaboration tools that are built directly into the browser.\n\nInterested? Reach out to us at [founders@linkgrep.com](mailto:founders@linkgrep.com) or book some time with us using <https://cal.com/linkgrep>\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/abb769f8-6421-42d5-bbac-beda81559866)\n\n👋🏽 Hi YC, we are [Divyagnan](https://www.linkedin.com/in/divyagnan/) and [TJ](https://www.linkedin.com/in/tjkandala/) and we are excited to share LinkGrep — an AI browser copilot for teams!\n\n# **What does LinkGrep do?**\n\n### **🔗 Automatically keeps track of all of your teams links**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/29f93fd5-7b6a-4a72-b26f-028ca3a1b595)\n\nLinkGrep automatically keeps track of all of your links and ranks them by viewership across your team. This allows you to easily stay on top of every important document. LinkGrep also provides a command palette that is available on every site to help you navigate the browser more quickly.\n\n### **✨ Suggests information from your knowledge bases while you browse**\n\n<https://youtu.be/jwcPGDRy4oQ>\n\nLinkGrep can automatically connect the dots for you and will display related information from your browser history + team knowledge bases (like Slack & Notion) while you browse. LinkGrep also offers traditional semantic search if you ever want to manually search for things too.\n\n### **🤖 Opens up the right links before your meetings**\n\n<https://youtu.be/an3VKpAWft0>\n\nLinkGrep can figure out what links and tabs you need before your meeting and automatically opens them up for you. Everyone on your team will be on the same page when a meeting starts.\n\n### **👥 Makes collaboration easier through contextual notes on webpages**\n\n![uploaded image](/media/?type=post&id=70677&key=user_uploads/6421/e2ad9827-f5fe-432e-990c-38914347924f)\n\nCollaborate directly from webpages. Leave notes, tag teammates, and more. You will no longer need to context switch to other apps or copy paste links to collaborate.\n\n# **Our Ask:**\n\nWant to use LinkGrep for your team? Know a team that would benefit from LinkGrep? Want to invest?\n\nDrop us a line at [founders@linkgrep.com](mailto:founders@linkgrep.com) or schedule a call with us using <https://cal.com/linkgrep>",
        "url": "https://www.ycombinator.com/launches/INx-linkgrep-ai-browser-copilot-for-teams",
        "votes": 65,
        "created_at": "2023-03-31T17:28:34.684Z"
      }
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  },
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    "id": 27841,
    "name": "Bujeti",
    "slug": "bujeti",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/62a7ef894596096ec275d7930a661da71c364631.png",
    "website": "https://www.bujeti.com",
    "all_locations": "Paris, Île-de-France, France; Remote",
    "long_description": "Control spending, process payments, manage payroll, and multi-currency operations with approval workflows, total visibility and control, from one unified platform",
    "one_liner": "The Finance Control Centre for African Businesses",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1673189707,
    "tags": [
      "Fintech",
      "SaaS",
      "Payments",
      "B2B"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Finance and Accounting"
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    "regions": [
      "France",
      "Europe",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/bujeti",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/bujeti.json",
    "year_founded": 2021,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/bujeti",
    "x_url": "https://twitter.com/Bujetihq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/62a7ef894596096ec275d7930a661da71c364631.png",
    "app_video_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 156795,
        "full_name": "Achille AROUKO",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/achille-arouko",
        "x_url": "https://twitter.com/alekaizer",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01307d9c3411ba249b3b7b3fabc88b74d656b1ea.jpg"
      },
      {
        "user_id": 882789,
        "full_name": "Samy Chiba",
        "title": "Founder",
        "founder_bio": "COO at Bujeti ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samychiba/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d565bd8ec98695b5319331f901c48d289a0247a.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "Bujeti launches AI agents to automate routine finance work",
        "url": "https://techcabal.com/2026/09/16/bujeti-launches-ai-agents-to-handle-finance-work/",
        "date": "Sep 16, 2026"
      },
      {
        "title": "Bujeti launches payroll to drive financial control for African businesses | TechCabal",
        "url": "https://techcabal.com/2026/05/21/bujeti-payroll-for-african-businesses/",
        "date": "May 21, 2026"
      },
      {
        "title": "Bujeti launches tax management solution as Nigeria's reforms shape | Business Insider Africa",
        "url": "https://africa.businessinsider.com/local/markets/bujeti-launches-tax-management-solution-as-nigerias-reforms-shape/yegcdn1",
        "date": "Feb 12, 2026"
      },
      {
        "title": "Bujeti to Power Financial Inclusion for 10M Nigerians",
        "url": "https://punchng.com/bujeti-signs-partnership-with-presidential-committee-to-power-financial-inclusion-for-10-million-nigerians/",
        "date": "Feb 06, 2026"
      },
      {
        "title": "YC-backed fintech Bujeti raises $2M for its corporate cards and spend management platform | TechCrunch",
        "url": "https://techcrunch.com/2023/12/07/yc-backed-fintech-bujeti-raises-2m-for-its-corporate-cards-and-spend-management-platform/",
        "date": "Dec 07, 2023"
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    "launches": [
      {
        "id": 69607,
        "title": "💳📈 Bujeti - Corporate cards and expense management platform for African businesses",
        "tagline": "We help African businesses issue corporate cards, control and manage their expenses",
        "body": "**TL;DR:** We help African businesses in industries such as Healthcare, Logistics, Agriculture and Construction easily issue corporate cards to their employees and contractors to streamline their spendings. We help them control and manage their expenses by setting up spending limits, restrictions and approval flows for their decisions makers, staff and suppliers.\n\n## **Who are we?**\n\nHello everyone, we are Achille and Samy from [Bujeti](https://www.bujeti.com)\n\n🧠 [Achille](https://www.linkedin.com/in/achille-arouko): Drives ideas and make things come to life. 8yoe engineer, 3+ years at [Paystack](https://paystack.com), and 3x founder in Fintech and AI.\n\n🧠 [Samy](https://www.linkedin.com/in/samychiba/): He keeps us compliant and makes operations go smoothly. 2 MsC in Business Administration, 2 years at Ariane Group, former ceo SmartSoft Europe.\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/e5c7ef67-82e9-4d84-b95d-7bc5b2190f28)\n\n# **What is a corporate card and why is it hard to get one in Africa?**\n\nA corporate card is a debit or credit card issue by a business to its employees, generally issued to upper management (CXO, Accountants, Team Managers, etc.) and a select number of employees to make payments on behalf of the company.\\\nIn the US and EU, bank card penetration is very high and the process for businesses to get multiple cards from their banks is pretty straightforward— but in Africa where card penetration is still low, getting a card for a business isn’t as straightforward as it should be, much less for multiple cards.\n\nThis is an even a bigger problem for traditional businesses in industries like Agriculture, Logistics, Healthcare, Construction— businesses that are not tech heavy, but contribute to a big part of the GDP of most of African nations. To go around that, businesses generally have one card that they pass around which causes a lot of security, control and fraud issues.\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/062f9c7e-3473-43c3-a797-c4dfc1932fd1)\n\n# **How do we fix it?**\n\nTo help fix that problem and allow African businesses to issue cards at will to their employees, while maintaining the control of their spendings, we launched Bujeti, an all-in-one corporate cards and expenses management platform.\n\nWe also help them:\n\n* **Budget** their expenditures to keep their finances afloat\n* **Monitor** and **track** all the expenses made in the company\n* Facilitate **receipts** tracking and collection\n* Automate **Account Payables & Receivables**\n* Set up **spending limits and approval** flow to make sure the resources are well used and create value\n* **Reimburse** out of pocket expenses of their employees\n* **Run payroll**\n* Integrate their **accounting softwares**(QuickBooks, Xero, etc…)\n* Automate **reconciliation** and **reporting**\n\n![uploaded image](/media/?type=post&id=69607&key=user_uploads/156795/43997f82-7bf2-4595-a226-48eccb71c0db)\n\n# **How did we get here?**\n\nAchille wanted to build a personal finance and expenses management app for the African Diaspora that helps automate remittances while keeping an eye on how money sent back home was being spent. While building that, he realized the problem he was trying to solve for individuals, was in fact a problem that also affected businesses. That’s when we pivoted from B2C to B2B to solve expense management issues for African businesses.\n\n# **Our ask 🙏🏾**\n\n* Connect us to **CFO, Accountants, Country Managers** and **HR** leaders that operate in Africa in your network\n* Connect us to an African Logistics, Construction, Healthcare, Agriculture company in your network\n* Connect us VISA or Mastercard\n* Connect us to your CFO or Accountant to help us understand even better their needs and improve our offering\n* Share our post on your social media to help us increase awareness 🚀",
        "url": "https://www.ycombinator.com/launches/I6h-bujeti-corporate-cards-and-expense-management-platform-for-african-businesses",
        "votes": 47,
        "created_at": "2023-02-23T17:48:51.970Z"
      }
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  },
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    "id": 27844,
    "name": "Cloudchipr",
    "slug": "cloudchipr",
    "former_names": [
      "Cloudchipr Inc"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96f17fae40f55e74f9d214af11045d8eed8f096f.png",
    "website": "https://cloudchipr.com/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Cloudchipr is an actionable FinOps platform that keeps multi-cloud spend under control 24/7 with AI agents.",
    "one_liner": "The #1 Actionable FinOps Platform",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1667473991,
    "tags": [
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      "FinOps",
      "SaaS",
      "B2B"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Europe",
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/cloudchipr",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/cloudchipr.json",
    "year_founded": 2022,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/cloudchipr",
    "x_url": "https://twitter.com/cloudchipr",
    "fb_url": "https://facebook.com/cloudchipr",
    "cb_url": "https://www.crunchbase.com/organization/cloudchipr",
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    "primary_partner": {
      "name": "Brad Flora",
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        "user_id": 1159850,
        "full_name": "Ashot Ayvazyan",
        "title": "Founder",
        "founder_bio": "Ashot is an engineer and entrepreneur with a computer science background and 14 years of experience in the design, implementation, and operations of distributed computing systems based on cloud and bare metal infrastructures. Now he is the Co-founder and CEO at Cloudchipr, which helps companies to reduce their cloud costs with infrastructure optimisation automation workflows. ",
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        "linkedin_url": "https://www.linkedin.com/in/ashotayvazyan/",
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      {
        "user_id": 1161211,
        "full_name": "Suren Marashlyan",
        "title": "Founder",
        "founder_bio": "Suren is a software engineer and entrepreneur with a math and computer science background. He has 10+ years of experience in computer software design and development. Now he is the Co-founder and VP of Engineering at Cloudchipr, which helps companies to reduce their cloud costs with infrastructure optimization automation workflows.",
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        "linkedin_url": "https://www.linkedin.com/in/surenmarashlyan",
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    "launches": [
      {
        "id": 69761,
        "title": "Cloudchipr streamlines the cloud operations",
        "tagline": "Cloudchipr - cloud costs observability, management and automation platform",
        "body": "### **TL;DR Instead of wasting runway on the cloud, sweating about your bottom line and limiting your developers, let Cloudchipr take care of optimizing your cloud usage and getting the most out of it.**\n\nHey everyone we are the founders of [Cloudchipr](https://cloudchipr.com/) 🙂\n\n![uploaded image](/media/?type=post&id=69761&key=user_uploads/1159850/9a6a6c4e-e473-4927-823b-28d84a6d8e1f)\n\n**Ashot** (left) managed some of the largest cloud infrastructures in the world. A distributed computing systems and cloud guru, who can smell coffee ☕ and sniff expensive infrastructures 📈 from at least 1000 feet away 😄\n\n**Suren** (right) worked on platforms serving 100,000,000s users from all over the world while at Picsart, AWS and Wayfair. A foodie with the power of Spring Boot as his spirit animal 🐩 😄\n\nWe got a lot of battle scars figuring out what’s the best way to operate your cloud. Now we’ve built Cloudchipr so that you don’t have to! 🚀\n\n### ❌ **The Problem**\n\nAll clouds make it very easy to start using resources. That’s how they are designed and that’s why they won. Problem is, that freedom very quickly turns into a mess eventually hurting the bottom line and becoming an operational hurdle.\n\n**Where it hurts Product and Engineering:**\n\n* Services and resources sprawl out of control across various geographies and cloud regions.\n* Resources get wasted to ensure developer convenience (dev machines run over weekends, holidays and non-working hours alike).\n* Routine operational maintenance becomes a burden and a time consuming activity for expensive DevOps and SRE engineers.\n* Every launched resource in the cloud becomes a monument - once it’s there no one risks to touch and it lingers around forever.\n\n**Where it hurts the Business side:**\n\n* Accountability and trackability becomes an issue: ask any series B (or later stage) company startup CFO how much a particular project costs on a cloud and see them roll their eyes.\n* Cloud is treated as a black box. Although being one of the largest cost centres finance has little visibility into what is actually going on. They are expected to foot the bill with 0 insights or understanding how the money is actually spent.\n* Very hard to forecast spend and act on if it gets out of hand.\n\n### **🪄 The Solution**\n\nWatch our [Demo Video](https://www.youtube.com/watch?v=0QLy74eGnLg)\n\nCloudchipr is an AWS qualified SaaS platform (we also support GCP and Azure) which provides a suite of powerful tools for cost tracking, resource management, and automation. It simplifies cloud operations, streamlines DevOps workflows while giving financial visibiliy, predictability and control. \n\n✅ **Cost Optimization by granular cost tracking and reporting.** It allows to monitor cloud expenses in real-time and optimize their usage to reduce waste. \n\n✅ **Resource Management:** Cloudchipr provides a centralized dashboard that provides full visibility into their cloud infrastructure across all geographies and cloud regions.\n\n✅ **Automation workflows:** Cloudchipr's automation features enable teams to streamline their DevOps workflows and automate routine operational tasks. With Cloudchipr, businesses can set up notifications and actions based on their criteria and free up valuable time and resources for other important tasks.\n\n**For example:**\n\n* If a resource is underutilized, Cloudchipr will notify the owner to take an action.\n* If there are resources without an owner, a slack message will be sent.\n* Stops expensive GPU nodes based on configurable usage criteria (e.g. idle more than 3 hours)\n* Stops/Starts the selected dev databases and virtual machines at night and on weekends\n* Takes care about resources being properly tagged.\n\n✅ **LAST BUT NOT LEAST:** It’s 2023, so you should be able to talk to your cloud and your cloud should talk back!  We are launching the first version of **CloudChat -** an interactive Natural-Language interface for querying, reporting and setting automations for your cloud. \n\nCloudchipr automates the cloud cost saving and reporting, and helps the finance and engineering departments save money and time by removing the friction around the costs saving. We do that by automation workflows which constantly check all the cloud resources, take configurable actions and report about the progress.\n\n### **Get started now:**\n\n* Try it for free at [cloudchipr.com](http://cloudchipr.com)",
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        "votes": 888,
        "created_at": "2023-02-28T17:28:41.075Z"
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    "id": 27846,
    "name": "PoloTab",
    "slug": "polotab",
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    "website": "https://polotab.com",
    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "The ecosystem coffee shops and restaurants in Mexico run on.\r\n\r\nFrom point of sale, to inventory management, payments and much more for the most demanding. \r\n\r\nOur tech is as user-friendly as an iPhone, yet powerful enough to power Starbucks. \r\n\r\nPoloTab is led by a team driven by the vision that things should be different, with the skills to make it happen. We were born from the food & beverage industry and are here to make a difference, not merely be part of the crowd.",
    "one_liner": "Restaurant software that actually works",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673740327,
    "tags": [
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      "Analytics",
      "Food Tech"
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    "isHiring": true,
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    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Latin America"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/polotab",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/polotab.json",
    "year_founded": 2022,
    "city": "Mexico City",
    "country": "MX",
    "linkedin_url": "https://www.linkedin.com/company/81905131/admin/",
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    "fb_url": null,
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        "user_id": 961325,
        "full_name": "Andres Richardson",
        "title": "Founder",
        "founder_bio": "Co-Founder and COO at PoloPay (W23). Studied industrial engineering at the University of Michigan. Ex-Business Consultant. Enjoys playing and watching sports, traveling, and food.",
        "is_active": true,
        "linkedin_url": "http://www.linkedin.com/in/andres-richardson-41411a167",
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      {
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        "full_name": "Juan Chomali",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO at Polo (W23). Chilean. Started coding at 12. Mechanical engineer and economist. Ex-Goldman. PNAS published author. Loves mountaineering and cooking.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jchomali",
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      {
        "user_id": 961294,
        "full_name": "Aldo Piaggio",
        "title": "Founder",
        "founder_bio": "Co-Founder and CEO at Polo (W23). I am a designer, an ex-Goldman Sachs IBD Analyst, and an industrial engineer from the University of Michigan. I love cigars, coffee, and LPs.",
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      {
        "id": 88479,
        "title": "Sales & Business Development Representative",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/nuykmZk-sales-business-development-representative",
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        "role_type": null,
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        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 115427,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/polotab/jobs/gmucbkK-product-designer",
        "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX",
        "type": "Full-time",
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        "role_type": "Product design",
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        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
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    ],
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      {
        "id": 70252,
        "title": "🅿️PoloPay - Dynamic menus for LatAm restaurants and coffee shops",
        "tagline": "PoloPay is a dynamic menu, order and payment software for LatAm restaurants and coffee shops.",
        "body": "### ☕️**TL;DR:**\n\nPoloPay is a dynamic menu that allows guests to order food and drinks, split, tip, and pay the bill in seconds helping LatAm restaurants and coffee shops automate manual tasks and increase sales.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ea4d9bbb-cb80-4b59-92d7-cf405e76fe79)\n\n### 🌯**Founding Team**\n\nWe are Aldo, Andres, and Juan, the team behind PoloPay!\n\n[Aldo Piaggio](https://www.linkedin.com/in/aldo-piaggio-59227418b/) **(CEO)** is from Honduras, an Industrial Engineer from the University of Michigan with a minor in Economics, passed the CFA Level 1, an ex-Goldman Sachs IBD analyst, designs since the age of 14, and is the third-generation of a family involved in the food & beverage industry since 1972.\n\n[Andres Richardson](https://www.linkedin.com/in/andres-richardson-41411a167/) **(COO)** is from Mexico, a Summa Cum Laude Industrial Engineer from the University of Michigan, and an ex-business consultant whose work ranges from industrial production & logistics optimization to organizational restructuring in various industries.\n\n[Juan Chomali](https://www.linkedin.com/in/jchomali/) **(CTO)** is from Chile, creator of Boreal, the most downloaded and used Hacker News client for iPhone in 2016 until Apple took it down, a Mechanical Engineer and Economist from the University of Michigan, PNAS Co-Author, an ex-Goldman Sachs STRATS, and started coding at the age of 12. \n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ac91ccc3-b653-4211-8be3-a5f9f80943d9)\n\n### 👨🏼‍🍳**The “Why?”**\n\n**The dining experience** has been the same for decades. You sit down, stare at a menu, look around wondering what others at the venue like, and a few “Uhmmm”s later, staff comes around to take an order you are still not even sure about. Splitting and paying the bill is a tedious waiting game, and tipping staff is close enough to a math exam. **What could be done in a few seconds, takes several minutes.**\n\n**A coffee shop is no different**. Join the line and wait a few minutes until it's your turn to go “Uhmmm”, just like everyone before you. Finally you get to sit down, and start sipping. Did you just run out of that delicious matcha latte? Stand up, and wait on line again!\n\n**What’s frustrating for guests is wasteful for venues.** Restaurants, coffee shops, and hospitality venues alike have seen their margins shrink well before covid, especially small and medium venues. They operate in an industry where costs are highly volatile, staff turnover rate is a staggering 75% (higher than any other industry), and guest preferences are quickly changing. \n\nResources are limited, especially for these venues. **So how does PoloPay help?**\n\n### 🫗**Our approach**\n\nWe built an easy-to-use tool that **restaurants love**. PoloPay improves how teams and staff manage their menus, fulfill orders, and collect payments. \n\n**To help venues sell more,** our QR codes expose guests to beautiful pictures of dishes and the perfect drink pairing. PoloPay makes it as easy as possible to order that next dirty martini while giving staff a breather during peak hours; eliminating unattended parties and decreasing checkout times to seconds. **We seek to perfectly complement the warmth of hospitality.**\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/f79e41b8-9451-48d3-90f1-863eadda2878)\n\n**Are costs increasing?** Venues can adjust menu prices or food offerings, instantly charge for them, and forget the need to spend on reprints or waiting for new menus to arrive. **PoloPay also leverages data** to help capture guests' preferences, identify new areas of opportunity, and surprise guests on their next visit. Automatic language translations, powerful availability and pricing scheduling, 86-ing, and in-menu promos are a few other reasons why chefs, staff, and owners love us.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/4d22eff1-056e-4079-a89d-0f201144c2a4)\n\nBeautiful experiences are at the core of what we build. We aim to grant guests a seamless experience and give much-needed control back to restaurant teams. We are not “X for LatAm”, **we are PoloPay**.\n\n### 🍽️**Our ask**\n\nIf you, or someone you might know, manages a restaurant or coffee shop, [reach out!](https://polopay.co/demo) **We would love to start working with your venue and would appreciate any warm intros too.** [Sign up](https://polopay.co/demo) before April 1st and enjoy a 50% discount during your first two months!",
        "url": "https://www.ycombinator.com/launches/IH6-polopay-dynamic-menus-for-latam-restaurants-and-coffee-shops",
        "votes": 498,
        "created_at": "2023-03-14T00:58:35.798Z"
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    "one_liner": "Salesforce for Cloud marketplaces on AWS, Azure, GCP",
    "team_size": 50,
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    "subindustry": "B2B -> Sales",
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        "full_name": "Chengjun Yuan",
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        "linkedin_url": "https://www.linkedin.com/in/jongwoo-yoo-4861439a/",
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        "date": "Feb 12, 2025"
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        "date": "Nov 16, 2023"
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        "date": "Apr 06, 2023"
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    "id": 27855,
    "name": "Haven",
    "slug": "haven-2",
    "former_names": [
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    "website": "https://www.usehaven.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Haven is building AI Agents to automate property management operations. Our first Agent is automating the maintenance coordination process. This means answering the phone when tenants have a maintenance issue, diagnosing the issue, dispatching a technician, and then following up with tenants to make sure the issue is resolved.\r\n",
    "one_liner": "AI workforce for property management",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1680268835,
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    "url": "https://www.ycombinator.com/companies/haven-2",
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    "id": 27871,
    "name": "Extend",
    "slug": "extend",
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    "long_description": "Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.",
    "one_liner": "Production-ready document processing",
    "team_size": 25,
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        "full_name": "Kushal Byatnal",
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        "full_name": "Eli Badgio",
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      {
        "id": 87403,
        "title": "📄 Extend - Unified Document Processing Platform",
        "tagline": "Turn messy documents into high quality data, achieve > 95% accuracy, and ship custom document pipelines in days, not months.",
        "body": "![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/a0dc2100-5072-45e4-92c3-d6088bf15bdf)\n\n# What is Extend in a nutshell?\n\nExtend provides document processing infrastructure, tooling, and APIs that enable technical teams to handle complex documents with state-of-the-art accuracy and reliability.\n\nCompanies like Chime, Brex, Flatiron Health, Opendoor, and Checkr use Extend for mission-critical document pipelines to achieve &gt; 95% accuracy on their hardest docs, and go live in days (not months).\n\n[Sign up to get started](https://dashboard.extend.ai/)\n\n# The Problem\n\nProcessing complex documents **is hard.** You have to deal with:\n\n* Difficult layout elements like tables, charts, handwriting, and signatures\n* Lengthy documents needing chunking and merging strategies\n* Extracting structured data with &gt; 95% accuracy across a variety of input formats\n* Optimizing outputs for LLM readability\n* Ensuring accuracy and reliability in production for critical use cases\n\n# Our Solution\n\nThere are plenty of OCR and document parsing options on the market. However, we noticed customers still struggling to deploy complex use cases when accuracy requirements are high (&gt; 95%). This is because OCR and parsing is only one part of the problem, and real world use cases need to bridge the gap between raw outputs and production-ready data.\n\nExtend uniquely solves this by unifying models, infrastructure, and tooling into a single platform for end to end document processing.\n\nThis includes:\n\n* Process any document format with state-of-the-art parsing powered by VLMs and OCR\n* Capture precise data with multi-step extraction powered by semantic chunking, bounding boxes, and citations\n* Tackle the most complex use cases with processing modes for document parsing, classification, extraction, and splitting\n* Deploy faster with low code tooling that empowers your entire team to quickly iterate, review results, and improve accuracy\n* Continuously improve results with fine-tuning pipelines that turn reviewed corrections —&gt; custom models\n\nFor example, Extend’s built-in evaluation tools to help you benchmark performance, improve accuracy, and deploy with confidence.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/801788f4-a72c-4d1a-8dd0-d4e9f9f18436)\n\nOur customizable document splitter identifies each distinct section and their relationships according to your instructions. This is critical when ingesting lengthy documents (or multi-document packages).\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/f0c2726e-b58f-42fc-8a9a-2b5294c5751d)\n\nHere’s an example of zero-shot table extraction on a complex healthcare doc. What enables this is vision models specialized for tabular structures, working alongside our bounding box citations & human-in-the-loop review system.\n\n![uploaded image](/media/?type=post&id=87403&key=user_uploads/137869/df2d9e80-2ade-4730-98ed-f0a15f942450)\n\n# Hear it from our customers\n\nMatt Hodgson, CTO at Vendr:\n\n> We did a bakeoff, and Extend had the best results of any solution on the market. It eliminates an entire class of engineering problems around accuracy we don’t want to worry about.\n\nAdam Litton, Staff Engineer at Checkr:\n\n> Extend eliminates the maintenance cost of model tuning, scoring, evaluations, and more. We’re able to focus on our core experience instead of managing the infra.\n\nFabio Fleitas, CTO at Tesorio:\n\n> I don’t know what you guys are doing under the hood, but it’s so much more accurate than any other tool we’ve tried.\n\n# Get Started\n\nIf you’re building document processing pipelines with high accuracy requirements, get in touch with us!\n\n* [Book a demo](https://extend.cal.com/extend/extend-intro-call)\n* Email us at [founders@extend.app](mailto:founders@extend.app)",
        "url": "https://www.ycombinator.com/launches/Mjj-extend-unified-document-processing-platform",
        "votes": 34,
        "created_at": "2025-02-04T15:46:20.176Z"
      },
      {
        "id": 73038,
        "title": "Extend - Build AI-powered workflows for unstructured data",
        "tagline": "Intelligently process documents, emails, images, and more with powerful tools for extraction, classification, and analysis.",
        "body": "**TLDR;** Extend makes it easy to process unstructured data in the form of PDFs, images, emails, and more. Build workflows that combine LLMs, business logic, integrations, and human-in-the-loop confidence - all without a line of code.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/8f86f279-0f42-4ab8-891d-a0ef4df19126)\n\n**The problem**\n\nVast amounts of data is often locked away inside messy PDFs, images, or emails and companies often build entire operational workflows around trying to manage and understand it. Humans have to do the tedious manual work of organizing and parsing all of it, but that’s just the start. To make use of that data, workflows have to be built around classification, validation, deduplication, fraud & spam checks, anomaly detection, manual audits, and so much more.\n\n**How Extend works**\n\nExtend comes with a set of building blocks to manage workflows around unstructured data. It can be used both:\n\n* **internally** to manage and automate complex operations (e.g. back office ops/fraud/support/finance use cases)\n* **externally** in your product (e.g. drop in a embeddable component to collect, classify, and validate documents uploaded by your end users in real time)\n\nHere’s how:\n\n**Combine** LLMs with business logic, validations, and integrations.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/ff3801ab-d622-4938-92bd-417d55d22fec)\n\n**Build** custom workflows that mirror your internal operations, and let them run on autopilot.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/caccc352-e74d-45cb-a579-581746f4bc00)\n\n**Deploy** confidently into production with built-in confidence scoring and human-in-the-loop flows.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/2c18cecb-152f-4c89-9d2f-0b9648b07aba)\n\n**Integrate** via our API, dashboard, or even embed Extend natively in your user-facing product.\n\n![uploaded image](/media/?type=post&id=73038&key=user_uploads/137869/3f48afc3-0b2f-46a0-b066-bf3ded6cf8c6)\n\n\n### **Get Started**\n\n[**Sign up**](https://www.extend.app/) on our website! Right now, we’re running a special deal + priority onboarding and support.\n\n### **Asks**\n\n* We’re growing quickly and looking to hire ex-founders (please reach out)!\n* Follow us on [**Twitter**](https://twitter.com/extendhq) and [**LinkedIn**](https://www.linkedin.com/company/extend-app/?viewAsMember=true) to stay in touch\n* We love any and all kinds of feedback",
        "url": "https://www.ycombinator.com/launches/J02-extend-build-ai-powered-workflows-for-unstructured-data",
        "votes": 26,
        "created_at": "2023-07-13T19:36:11.447Z"
      },
      {
        "id": 70372,
        "title": "Extend - Build internal Chrome extensions that give your team superpowers",
        "tagline": "Ship internal tools that reduce context switching, eliminate copy/pasting, and customize any website your team relies on.",
        "body": "### **TL;DR**\n\nExtend is a low code developer tool that makes it easy to build internal chrome extensions for your company.\n\nFor example, **support teams** can solve tickets faster with custom buttons that call internal APIs, draft responses, and bring GPT-4 into the loop.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/d1322b76-0479-474e-b51d-96e26317ce37)\n\n**Sales teams** can customize their CRM with real-time database queries and UI overlays.\n\n![uploaded image](/media/?type=post&id=70372&key=user_uploads/137869/7db4d9cb-69f4-4308-a918-71f49991ffc5)\n\n**Give your company superpowers in 15 minutes.**\n\nExtend gives your developers building blocks so they can build these types of workflows in 15 minutes.\n\nWe provide:\n\n1. tons of pre-built modules (e.g. extract info from the page via GPT-4, inject a button in to the DOM)\n2. beautiful UI components\n3. secure connections to your database + internal APIs\n4. one-click instant deployment to your team\n\nJust write your custom business logic and wire up the flow, we’ll handle the rest.\n\n**Extend is a better way of building internal tools.**\n\nI’ve spent years working in fintech and built a ton of internal tooling for support and operations teams. But using most internal tools today requires a ton of copy/pasting and context switching, which any support or operations team will tell you is the bane of their existence. Chrome Extensions enable your internal tools to live _inside_ the apps where your teams already spend 90% of their time today.\n\nAnd now with GPT-4, your teams can activate supercharged workflows within the context of your existing tools.\n\n**Get Started**\n\n* For the first 5 companies that [sign up](https://tally.so/r/w2Xx5L), we’ll build your internal chrome extension for you with **no engineering resources needed on your end**!\n* Send a note to [kushal@extend.app](mailto:kushal@extend.app) if you have feedback / want to chat",
        "url": "https://www.ycombinator.com/launches/IJ2-extend-build-internal-chrome-extensions-that-give-your-team-superpowers",
        "votes": 75,
        "created_at": "2023-03-17T14:16:56.849Z"
      }
    ]
  },
  {
    "id": 27876,
    "name": "Propexo",
    "slug": "propexo",
    "former_names": [
      "Propify"
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    "website": "https://propexo.com",
    "all_locations": "Boston, MA, USA",
    "long_description": "Propexo lets engineers build, test, and launch CRE software integrations in days, not months. We modernize the developer experience for our customers, providing clear documentation and robust infrastructure to support the needs of property owners, property managers, & proptechs.",
    "one_liner": "Plaid for Commercial Real Estate",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1667590103,
    "tags": [
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      "SaaS",
      "B2B",
      "Proptech",
      "API"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": [
      {
        "question": "Describe what your company does in 50 characters or less.",
        "answer": "Plaid for the Property Management Industry"
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    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/propexo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/propexo.json",
    "year_founded": 2022,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getpropify/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7822d11e41140d7f6d2558bc38734397f57dde43.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 970556,
        "full_name": "Nick Johnson",
        "title": "Founder",
        "founder_bio": "Hacker & builder. Currently focused on building the unified API to accelerate innovation in real estate.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nickolasjohnson/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/322b52181abcab3499663c8c57b5b28260ed3079.jpg"
      },
      {
        "user_id": 997737,
        "full_name": "Ben Keller",
        "title": "Founder",
        "founder_bio": "Started my career in real estate private equity before getting the tech bug. Was the first PM building HubSpot's CRM, now trying to change the proptech landscape with Propify. In my free time I love to run, read, play golf, and travel to new places.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-keller-24309644/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/846e833024dbdd8f14e0a05cb1f9a3a1e2750084.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Property Management Startup Propify Closes $3.3M Seed Funding Round – Commercial Observer",
        "url": "https://commercialobserver.com/2023/10/property-management-propify-seed/",
        "date": "Oct 10, 2023"
      }
    ],
    "launches": [
      {
        "id": 69838,
        "title": "Propify: Plaid for Real Estate 🏢",
        "tagline": "Propify's API enables companies to integrate with the data that powers the world of professionally managed real estate.",
        "body": "# 📚 TL;DR\n\n**The professionally managed real estate market is massive**. Unfortunately, it is difficult to sell products or services to this market because the systems of record are legacy software vendors with bad APIs. Propify's API allows companies to integrate with these systems in weeks, not years.\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/fbfa8b9c-aac6-449d-af99-d9696611c11e)\n\nHey everyone! We're Remen, Nick, and Ben from [Propify](http://www.getpropify.com). We entered the proptech world in 2020 and quickly realized the single biggest problem was accessing the data from the major systems of record.\n\n# ⚠️ **The Problem: Fragmentation and Legacy Software** \n\nThe managed real estate market includes 290k companies, 80M tenants, and $300B in rent payments. This market is not only for \"proptechs.\" Amazon, Lowes, and Progressive Insurance actively sell into the space. \n\nThe most significant headwind to innovation has been the effort to integrate with the systems of record: Property management software. \n\nIt is a fragmented market where SOAP APIs are the norm and documentation is rarely available. In addition, companies like Zuma (S21) have entire teams managing these integrations - they often take years to build the complete list.\n\n  \n\n# 👨‍🔬 **The Solution: A unified API**\n\nPropify's API and unified data model allow a company to integrate with the six most prominent players in weeks.\n\nAdditionally, we provide modern developer tooling like Webhooks, which is largely missing from the native integrations.\n\n# 👨‍🔬 **How it works:**\n\nWith Propify, you integrate once to access all of our supported integrations. In addition, our REST API is well documented, and we simplify integrating and scaling your company with additional tooling that your engineers will love!\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/49132478-7f99-47d2-985d-562b77f4f415)\n\nA company can manage the systems and integrated buildings through its Propify Portal. They can also manage users, export datasets, and set up Webhooks.\n\n![uploaded image](/media/?type=post&id=69838&key=user_uploads/997737/d543d0d9-66a4-43af-91b1-774a8a9867e1)\n\n\n# 🙋 **Propify is for: Almost Everyone**\n\nThis market is significant - tens of millions of renters live in professionally managed housing + hundreds of thousands of property management companies that need services. Examples of tools that do well in the space:\n\n🏢 Proptech\n\n🏗 Construction tech\n\n💸 Payments\n\n👨‍💼 Insurance\n\n🖥 Marketing\n\n🏷 Sales\n\n🎧 Support\n\n✅ Productivity\n\n📈 Reporting\n\n📞 Communication tooling\n\n🚗 Transportation\n\n❓ Unsure? Reach out at [hello@propifyapp.com](mailto:hello@propifyapp.com)\n\n# 😇 **Our Ask:**\n\n* Reach out to [sales@propifyapp.com](mailto:sales@propifyapp.com) and say hi!\n* Send any proptech company you know our way.",
        "url": "https://www.ycombinator.com/launches/IAQ-propify-plaid-for-real-estate",
        "votes": 21,
        "created_at": "2023-03-01T20:02:16.632Z"
      }
    ]
  },
  {
    "id": 27890,
    "name": "Wild Moose",
    "slug": "wild-moose",
    "former_names": [
      "Context AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa6f0365e063d6abf85d22cf51d505e868af977e.png",
    "website": "https://wildmoose.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Wild Moose automatically kicks off any root-cause investigation to improve MTTR.\r\nOur AI triages issues, analyzes impact, and suggests next steps - all before human intervention is needed.",
    "one_liner": "Automating root cause analysis with generative AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1675106023,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/wild-moose",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/wild-moose.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wild-moose-ai",
    "x_url": "",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa6f0365e063d6abf85d22cf51d505e868af977e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3225de93482728857cea8dcee7b643093fc1979c.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 281723,
        "full_name": "Yasmin Dunsky",
        "title": "Founder",
        "founder_bio": "Yasmin holds an MBA from Stanford, and has a successful track record in founding and leading ventures, including an ecosystem that trains thousands of female software developers across Israel. She served as an analyst for the Israeli Special Forces Intelligence and holds a BSc in Computer Science from The Hebrew University. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yasmin-dunsky-519a4ab2/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3895cf2f614c1bce99c5ac84e28c5c38015fc8ea.jpg"
      },
      {
        "user_id": 1157519,
        "full_name": "Roei Schuster",
        "title": "Founder",
        "founder_bio": "I'm the CTO of Wild Moose. Before, I was a post-doc at the Vector Institute of AI, after completing a PhD at Cornell and Tel Aviv University. My research focused on security and privacy of AI, and particularly NLP. Before my that, I did my undergrad at the Technion, and served in IDF's 8200 alongside my cofounder Tom.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/roei-schuster-0ba818aa/",
        "x_url": "https://twitter.com/RoeiSchuster",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7a9f7889018f6476b021ae855e2340734dcc8813.jpg"
      },
      {
        "user_id": 1159942,
        "full_name": "Tom Tytunovich",
        "title": "Founder",
        "founder_bio": "Building software stuff since 2002. In the IDF's Intelligence Corps, in tiny startups and large corporations as software developer, architect, and engineering manager, as CTO of a nonprofit building technology with people who are homeless in NY, and now as co-founder of Wild Moose.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tom-tytunovich-70a13886",
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Site reliability engineering startup Wild Moose launches with $7M in funding - SiliconANGLE",
        "url": "https://siliconangle.com/2025/10/28/site-reliability-engineering-startup-wild-moose-launches-7m-funding/",
        "date": "Oct 28, 2025"
      }
    ],
    "launches": [
      {
        "id": 80510,
        "title": "Wild Moose Alert Enrichment: Solve production issues before they get to engineers",
        "tagline": "Reduce MTTR with an AI agent that engages with logs, metrics, and code to kick off any investigation",
        "body": "### **Problem:** Production chaos is real, and interferes with fast delivery\n\nThese days, there's immense pressure for organizations to constantly innovate. To achieve this, you need to aggressively minimize distractions. It's crucial to eliminate the constant stream of alerts, often leading to full nights of stressful debugging.\n\n### **Solution:** AI agents can knock down issues before they get to engineers\n\n**Our AI agent kicks off every investigation by querying logs, metrics, DBs, and code to surface information and resolve issues.** The initial steps in investigations are predictable and automatable, but they take time for a human to perform. We save that time. **In many companies this simple step already cuts MTTR by 50%.** \n\n[▶️▶️ Chat with us to join the beta.](https://calendly.com/wildmoose-yasmin/30-min)\n\n**How it works:**\n\n1. **Collects data from monitoring data sources**\\\n   When a new production issue is found, the moose kicks off by collecting data from your monitoring data tools, such as Datadog, Snowflake, New Relic, Cloudflare, etc.\n2. **Generates an enrichment report**\\\n   The moose runs an investigation in real-time, analyzing the data collected to present its findings.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/a7ca493a-891b-4da7-8326-920b6f4a4025)\n\n3. **Concludes and recommends next steps**\\\n   The moose presents a summary of its findings along with recommended next steps, focusing on impact and mitigation.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/30f636da-7ddf-45e0-bae4-493b21055e76)\n\n4. **Improves over time**\\\n   You can indicate what information was useful or ask the moose to fetch more. Based on this feedback and an underlying model of your system, our model learns over time the actions it should take in different scenarios.\n\n   ![uploaded image](/media/?type=post&id=80510&key=user_uploads/281723/65c3bd53-edd3-492d-bff1-7a27a0ea0fa3)\n\n\n### **Try it out and tell us what you think!**\n\n[▶️▶️ Let’s chat and get you on our beta.](https://calendly.com/wildmoose-yasmin/30-min)\n\n**We’re looking to work with companies that are making an effort to improve their reliability**, preferably companies that already measure MTTR or are interested in starting to do so. \n\n* **_You don’t have to prepare your data or monitoring tools_**. We know things are often messy - our model works just as well with data that is unstructured\n* **_You do need to have your logs and/or metrics stored in a SaaS platform_** (Datadog, New Relic, Coralogix, etc.).",
        "url": "https://www.ycombinator.com/launches/KwY-wild-moose-alert-enrichment-solve-production-issues-before-they-get-to-engineers",
        "votes": 36,
        "created_at": "2024-04-30T15:03:33.825Z"
      },
      {
        "id": 69325,
        "title": "🔥 Wild Moose: Solve production incidents faster with Gen AI",
        "tagline": "Helping on-call developers quickly identify the source of production incidents with conversational AI trained on their environment.",
        "body": "**TL;DR When you’re on-call and everything’s on fire, instead of frantically sifting through logs and going through other people’s code, our moose just gives you the answers.** [**Chat with us**](https://calendly.com/wildmoose-yasmin/15min) **to try it out.**\n\n**—-**\n\n👋 We’re Tom, Yasmin, and Roei, founders of [Wild Moose](https://wildmoose.ai?utm_source=YC+newsletter&utm_medium=blog+post&utm_campaign=Launch+YC). \n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/afaf46a4-84f9-46c1-b638-ee353587eaa5)\n\n[Yasmin](https://www.linkedin.com/in/yasmin-dunsky-519a4ab2/) has an MBA from Stanford and is a third-time founder & CEO. [Roei](https://www.linkedin.com/in/roei-schuster-0ba818aa/) got a PhD at Cornell University focusing on Large Language Models (LLMs), and [Tom](https://www.linkedin.com/in/tom-tytunovich-70a13886/) has had the dubious pleasure of fixing hundreds of incidents in production over his 15 years of engineering.\n\n### **The problem**\n\nWith developers spending over 30% of their time on production issues, and  incidents leading to millions in lost revenue, there’s no need to say much about the headache that is production debugging. Instead, we asked Midjourney what a developer dealing with a prod incident looks like:\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/a629390c-47b7-403e-bae9-d523c690b62d)\n\n### **Enters the moose**\n\nDebugging in production with our moose allows you to solve issues in minutes instead of hours, reducing MTTR 100x. It helps you avoid costly downtime, save time, and keep your SLAs in check. You’re able to:\n\n* 🕵️ Navigate through heaps of logs, metrics, and other people’s code\n* 🧠 Build queries like a pro for any observability tool (Elastic, Datadog, SQL DBs, etc.)\n* 🔀 Get next-step recommendations so you stay on track when the pressure is on and you’re flooded with data\n\n### **How it works**\n\n**💪 We help you hit the ground running –** unlike humans, our AI is happy to wake up at 2 AM and get cracking, instantly up to speed and ready with useful data on the state of the system\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/7468e24d-8b94-403d-a59e-98e0994ef3f6)\n\n**💪 You don't need to debug alone –** using Wild Moose is like having a fellow engineer take the grunt work off your hands. One who knows every part of the codebase, and who can process hours' worth of data in seconds\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/92cb41af-6553-48f8-9277-dff3f74b0eaa)\n\n**💪 Learn more from the incident –** some companies learn from their incidents, others are just gifted with many repeat opportunities… To help you belong to the former, we automate your postmortem generation\n\n![uploaded image](/media/?type=post&id=69325&key=user_uploads/281723/310efdc8-5c47-40a5-afcd-3203066cbc66)\n\n### **Our technology**\n\nBehind a conversational AI experience, lie our special-purpose large language models (LLMs). Having cracked the way LLMs can be fed code and logs in real-time, we design models that efficiently ingest the massive contextual data about a given incident. Crucially, we also validate the produced answers against the original sources of truth, giving you trustworthy information when you need it the most.\n\n### **We can help you fix production issues**\n\nIf your company has 25+ developers, you measure the cost of downtime, and your observability stack includes Datadog, Sentry, and/or Elastic, we would love to help you manage production issues! Just hop on a call with us [here](https://calendly.com/wildmoose-yasmin/15min) or reach out at [yasmin@wildmoose.ai](mailto:yasmin@wildmoose.ai).",
        "url": "https://www.ycombinator.com/launches/I29-wild-moose-solve-production-incidents-faster-with-gen-ai",
        "votes": 59,
        "created_at": "2023-02-15T20:55:49.267Z"
      }
    ]
  },
  {
    "id": 27892,
    "name": "ShortLoop",
    "slug": "shortloop",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/820af679200d42ba6edf958ca36c54bfd8a7734c.png",
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        "body": "### **⚡️ TL;DR**\n\nHey, this is Adam & Lian from [@BuildJet](https://www.ycombinator.com/companies/buildjet)\n\nBuildJet makes GitHub Actions faster, by running the workflows on our Gaming CPU cloud. You still keep everything GitHub Actions, we just replace the underlying GitHub Actions runner with our Gaming CPUs.\n\n\\\n**Change 1 line, and get 2x faster and cheaper builds.**\n\n![uploaded image](/media/?type=post&id=69746&key=user_uploads/730963/214d6b00-fec2-4f4a-8a6b-132c63f8c6cb)\n\n### **GitHub Actions is slow**\n\n* **Developers are wasting their time –** Waiting for GitHub Actions to get a green checkbox on a PR, is wasteful and extremely tedious.\n* **GitHub Actions runner hardware is old and slow –** GitHub Actions use old and slow machines from Azure. Some of your workflows run on servers from 2015.\n* **GitHub Actions use the wrong type of hardware** – CI workflows are usually computing intense, and specifically require high single-core performance. GitHub Actions uses server CPUs, which generally have low single-core performance.\n\n### **Our Solution**\n\nGitHub Actions rely on server CPUs from Azure. **Server CPUs mostly have low single-core performance.** This is where BuildJet differentiates itself, with its fundamentally different approach to computing, using dedicated **high-performance gaming CPUs** that all have a very high-single core performance.\n\nThis provides an inherent speed advantage for BuildJet, even without software optimizations. High single-core performance is the key to a fast CI process, and BuildJet's gaming CPU cloud is optimized to deliver just that.\n\nTake a look at our at the chart below, **MacBook Pro 2015 hardware beating GitHub Actions runner in 2022.** It’s yet another instance where you can see the limitation of using server CPUs in tasks that need high single-core performance.\n\n![uploaded image](/media/?type=post&id=69746&key=user_uploads/730963/40b07ca7-7828-4ae1-9c6b-20b8d1ea0026)\n\n### **Founding Team**\n\nLian and I, first met at a data privacy startup in Berlin in 2014, where we developed a strong working relationship and launched many products together. After leaving that company, we joined a German startup that runs the biggest market research panel in Germany, Civey, with Adam as CPO and Lian as CTO. When scaling the company, we quickly learned **the great impact gaming CPU's have on CI speed.**\n\n### **Next Steps**\n\nHead over to <https://buildjet.com/for-github-actions>, sign up in 1 minute and start accelerating your GitHub Actions workflows.\n\nIf you have any questions about your CI pipeline, don’t hesitate to reach out to [adam@buildjet.com](mailto:adam@buildjet.com), and I’ll make sure to help you out!",
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        "body": "**Truewind is designed for accountants**\n\nTruewind is helping accounting firms increase the profits of their CAS practice. The solution that has helped over a hundred companies with their month-end close is now available for accounting firms and internal accounting teams.\n\n## **Introducing the next-generation AI-powered accounting solution**\n\nHow does an “AI-powered” accounting solution improve your current operations?\n\n**With the power of LLMs, you are able to:**\n\n* Auto-classify bank and credit card transactions with >90% accuracy\n* Identify accrual entries and auto-create a work paper in 1-click\n* Collect supporting documentation automatically with 0 intervention\n* Match supporting documentation to your accounting journal entries\n\nThink of Truewind as a **_digital accountant._** A digital accountant that does the repetitive work of categorizing transactions, finding supporting documentation, and closing the month-end books. A digital accountant that works while you sleep.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/6cbbea13-2d87-450a-a42a-1fdb6484d02e)\n\n## **Most alternatives are service providers that are prone to manual errors and overhead costs**\n\nThere are many vendors that help startups with bookkeeping and accounting. These service companies are easy to start because, in the background, they have an army of operational staff who **manually** enter your data into an accounting system.\n\nIf the transaction is missing an invoice or receipt, they will **manually** follow up with you for that document. Accrual journal entries are **manually** tracked in an Excel sheet and **manually** updated monthly. Lastly, reports are **manually downloaded** and shipped to you for review.\n\nWhy is this problematic? The **manual**\\-intensive process is an error-prone one. The Excel file below is an example of how they manage this; now multiply this by 100 rows and 20 tabs. Maybe they get it right as high as 99% of the time. But inevitably, with humans **manually** going back and forth between Excel tabs and traditional legacy systems, it’s never going to be 100%.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/8992ac60-7524-4111-83de-b92a2ca382f1)\n\n## **Month-End Close Powered by AI**\n\nTruewind helps accountants close their books faster without the administrative overhead costs that come with most month-end close management solutions.\n\nTraditional month-end close solutions’ is a checklist. Accountants dislike these solutions because they add administrative workload. Accountants track their month-end checklist in Excel or Google Sheets because it works, but because their company decided to purchase a month-end close software, they have to **manually** move their checklist into the software each month.\n\nTruewind is different in that we _actually do the work for you_. Truewind is a **_digital accountant_** that does the journal entry work while you rest. Each day, you get into the office with your morning queue of work prepared for you to review.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/5b2c1d58-32c4-4d82-807c-468aa2ec6981)\n\n**Here are just a few examples:**\n\n* The AI model is trained on your client’s historical data so that bank and credit card transactions can be **auto-classified** to the correct account, payee, and department\n* By studying historical patterns, Truewind identifies prepaid expenses and **auto-capitalizes** the transaction as an asset. Each month, we **auto-update** the work paper and write the journal entry\n* By studying historical patterns, Truewind identifies and recognizes an accrued expense even though an invoice or payment is missing; when it arrives next month, we **auto-adjust** the journal entries\n* Rather than manually searching for supporting documentation, our integrated AI agents **auto-identify** the supporting documentation that is tied to each journal entry and transaction\n\n## **Visit us at AICPA Engage 24 - Silver Sponsors**\n\nIn addition to this product launch, I’m excited to announce that Truewind is a Silver Sponsor of the AICPA CIMA Engage 24 Conference 💎\n\nAICPA & CIMA Engage is the largest gathering of accountants and finance professionals in North America, with close to 4,000 attendees. And we are thrilled to be a Silver Sponsor for this event. In the coming weeks, we will post about how Truewind helps accounting firms and internal accounting teams close the books closer and get their life back.\n\nWe have many fun activities and talks planned. Follow us on [**LinkedIn**](https://www.linkedin.com/company/truewindai/) & [**Twitter**](https://twitter.com/truewindai/) to stay tuned for more.\n\n![uploaded image](/media/?type=post&id=80520&key=user_uploads/391490/1da64d47-c89b-4171-b484-2b7ea7df06ee)\n\n## **How to learn more and sign up**\n\nAll of these capabilities are available today for our early accounting firm partners and will be available broadly on June 1, 2024. Our accounting firm partners include fast-growing boutique firms and top 50 national firms.\n\nWe have room for 2-3 more accounting firms in our May onboarding batch. Then, in early June, we will be showcasing this and more at the Engage 24 conference.\n\n**If you’d like to see a live demo and potentially sign up:**\n\n1. **Fill out this **[**Tally form**](https://tally.so/r/3qA68k)** or**\n2. **Email** [**launchyc@trytruewind.com**](mailto:launchyc@trytruewind.com)\n\n## **Made with 💛 from our team**\n\nUnfortunately, Mochi 🐶 didn’t make this photo. During our Launch YC a year ago, Truewind was a team of three. Today, we’re 15 strong with over a hundred customers, including multiple top 50 accounting firms. From our team to everyone - Thank you to the many startups and accounting firms we get to work with day in and day out. We look forward to meeting many more of you.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80520&key=user_uploads/391490/c033be10-ba6d-4be4-bd50-045a6052e405)\n\n",
        "url": "https://www.ycombinator.com/launches/Kwi-truewind-ai-powered-accounting",
        "votes": 117,
        "created_at": "2024-04-30T16:34:41.677Z"
      },
      {
        "id": 69622,
        "title": "⛵️ Truewind: AI-powered bookkeeping and finance software for startups",
        "tagline": "Fast growing companies use our AI-bot to automate transaction labeling so they see fewer errors and faster monthly closes.",
        "body": "Let's get down to brass tacks. You need **bookkeeping to stay compliant** with Uncle Sam 🇺🇸 and you need a **financial model for fundraising**. That's what you need. And that's what we do for you.\n\nOn a lighter note, hey everyone! 👋\n\n### **What we do for you**\n\nI’m super excited to launch [**Truewind**](https://www.truewind.ai/) to all of you! **⛵️ Truewind is AI-powered Bookkeeping and Financial Modeling for Startups**\n\nThrough a combination of generative AI and concierge service, we deliver a delightful financial back office experience.\n\n* Reliable bookkeeping\n* Detailed financial models\n* Built exclusively for startups\n* Fast, responsive expertise\n\nBecause you need investor-ready financials. Your dedicated Truewind team prepares your monthly financial statements reliably and accurately, so you have investor-ready financials when you fundraise.\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/1f76d30b-864d-4cb1-a600-223fc9065871)\n\n### **We use Generative AI to capture the business context that only you have**\n\nWe are **delivering a 10x better experience to you, the operator**, by making it easier to provide business context.\n\n* We connect to your bank account and then auto-categorize the transactions that we recognize.\n* For the ones we don’t, we’ll send you a message notifying you that we do not recognize this transaction. You reply in **plain simple English** and we’ll handle the rest.\n* For accrual accounting, upload contracts and invoices on Truewind and our software will read those pdf files.\n* If we’re missing information, say we don’t know the duration, we’ll send you a message that we need more information. You reply in **plain simple English** that the duration is 12 months.\n\nFinance and accounting isn’t simply numbers, **it requires business context that only the operators have.** This is where Generative AI shines. We use GPT-3 to digest your natural language inputs, translate it into accounting journal entries, and learn from it so future journal entries can be automated.\n\n### **Most accounting & finance companies are service providers, prone to manual errors**\n\nThere are many vendors that help startups with bookkeeping and financial models. These services companies are easy to start because, in the background, they aren’t building **reliable** accounting and finance software.\n\nThese service providers have armies of operations staff who **manually** enter your data into an accounting system. Then, they **manually** download reports and ship it to you for review.\n\nWhen they don’t recognize a transaction, they ask _you_ to **manually** categorize the data. Then, next month, they’ll ask you to **manually recategorize** the same transaction. Without native accounting and finance software, they do not remember and learn from previous inputs.\n\nWhy is this service provider approach problematic for your company?\n\n**Service providers are error prone.**\n\nLet’s say a wire of $16K comes into your bank account but the memo says `[Online 13875836747 To Jayson (_########62846)]`\n\nWe don’t know what it is, nor do other accounting companies. So you, **the operator**, has to go thru a drop down of 50 items with words you barely understand and you’re expected to figure out what it should be categorized as. Half the time, you just pick something and move on 👎\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/675a6b16-8efd-4ad7-bd94-61144b3ce66d)\n\n### **Our ask**\n\nIf you haven’t picked up a bookkeeping solution yet, give us a chance at winning your business! And even if you already did, give us a chance to change your mind 😆\n\n**Help us become the #1 recommended financial back-office provider for startups 🔥**\n\n**Truewind Customer Form:** <https://form.typeform.com/to/SrleFO1U>\n\nFill out this Typeform to get started with me, Alex. I’ll answer any questions you have on the call, get you onboarded, and even start on the financial model!\n\n### **Our Customers**\n\nYour finances are a delicate thing, I know. Many other fast-growing startups already work with us (listed below). Hopefully this gives you some confidence 🙂 Many of them YC, many of them not, and many of them current batchmates!\n\n![uploaded image](/media/?type=post&id=69622&key=user_uploads/391490/216923c2-b785-4af4-9414-d46873d95f67)\n\n### **A little bit about us and Mochi**\n\nIt feels weird introducing ourselves in a product launch but given we’ll be working with your financial data, I thought you should know about us.\n\n* I’m a second-time YC founder, ex-Boeing engineer, and ex-VC. As an ex-VC, I worked very closely with startup financial statements and I could build a financial model in my sleep.\n* My co-founder Tennison took a whirlwind of a journey: studying business in school → self taught developer → worked at Flexport Pinterest Alibaba → and now building a fintech startup\n* Mochi is our 2-year old Samoyed pup and the chief motivating officer. Kiddo doesn’t understand fiscal responsibility, all he wants is the best organic food.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/4837a8f8-f03f-4543-9d54-ab438664be98)\n\n### **Hit us up if we can help you!**\n\nWe published a **Y Combinator W23 Generative AI Landscape** on LinkedIn that has over 800K views - [check it out here](https://www.linkedin.com/posts/alexlee611_ai-startup-generativeai-activity-7033871151416164352-mMeR?utm_source=share&utm_medium=member_desktop).\n\nWe love working with founders, accountants, and finance leaders, so pls don’t be shy. Mochi would love to meet you 😁\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69622&key=user_uploads/391490/7af98c54-b696-4df4-b34f-5f15b55694cd)\n\n",
        "url": "https://www.ycombinator.com/launches/I6w-truewind-ai-powered-bookkeeping-and-finance-software-for-startups",
        "votes": 234,
        "created_at": "2023-02-23T21:26:20.125Z"
      }
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    "id": 27911,
    "name": "IcePanel",
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    "website": "https://icepanel.io",
    "all_locations": "North Vancouver, BC, Canada",
    "long_description": "IcePanel is a collaborative diagramming tool that helps software engineering and product teams align on technical decisions. Teams use IcePanel to create a map of their software systems, giving them full context about how it works.",
    "one_liner": "Design and explain complex software architecture.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1669087724,
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/icepanel",
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    "city": "North Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/icepanel/",
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        "full_name": "Jacob Shadbolt",
        "title": "Founder/CEO",
        "founder_bio": "🧊 IcePanel Co-Founder | I am building a simpler (cooler) way to talk about system design and share technical knowledge. Before IcePanel, I was a UX Designer at Mastercard, working on greenfield real-time payment products, including monitoring and mobile payments. I prefer solving \"boring\" problems over jumping on hype trains. Stay chill.",
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      {
        "user_id": 690349,
        "full_name": "Victor Leach",
        "title": "Founder",
        "founder_bio": "🧊 IcePanel Co-Founder | I have a passion for discovering and solving problems with technology, and my mission is to make products that people love!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victorleach/",
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    "jobs": [
      {
        "id": 72555,
        "title": "Senior Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/icepanel/jobs/KlI6KP6-senior-full-stack-engineer",
        "location": "Vancouver, BC, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K CAD",
        "equity_range": "0.20% - 0.70%",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Google Cloud",
          "Node.js",
          "TypeScript",
          "Vue.js",
          "Tailwind"
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      {
        "id": 67487,
        "title": "🧊 IcePanel - Collaborative system design; linked with reality",
        "tagline": "A lightweight visual approach to modelling software architecture, linked with resources in the real world.",
        "body": "### **⚡️TL;DR**\n\nCommunication of software systems is hard, visuals help but often lack consistency and are out-of-date within weeks.\n\nIcePanel is a SaaS tool for tech teams to collaborate on their software architecture design.\n\n### **👋 Who are we?**\n\nHey all, we’re [Victor](https://www.linkedin.com/in/victorleach/) and [Jacob](https://www.linkedin.com/in/jacob-shadbolt-design/), the founders of 🧊 [IcePanel](http://icepanel.io).\n\n### **🤬 Problem**\n\nSoftware teams currently use generic diagramming tools to communicate complex systems.\n\n* Software systems are becoming increasingly complex and are hard to explain.\n* Technical teams often find it challenging to tell the right story and gain alignment.\n* Technical diagrams are inconsistent, lack context and drift from reality - becoming out-of-date in a matter of weeks.\n* Engineering and product teams are often misaligned, especially in technical areas.\n\n💩 Bad communication across teams is time-consuming and expensive.\n\n### **🚀 Our solution**\n\nHelp humans visually communicate complex systems; linked to resources in reality.\n\n**1️⃣ Modelling**\n\n> * IcePanel is a collaborative modelling tool, that provides a single source of truth with reusable objects and relationships, keeping your diagrams in sync and up-to-date with changes.\n\n**2️⃣ Consistent language**\n\n* IcePanel is built upon the [C4 model](http://c4model.com), a lightweight layered approach designed for technical and non-technical audiences. This brings consistency to visual & verbal communication about software architecture.\n\n**3️⃣ Linked to reality**\n\n* IcePanel objects can be linked to resources in reality, such as files in Git, that flag as out-of-date if they no longer exist.\n\n### **🫣 Sneak peek**\n\n_Levelled diagramming_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/af8b9aee-00f4-48c5-9215-1c5a75cbb7b9)\n\n_Dynamic flows_\n\n![uploaded image](/media/?type=post&id=67487&key=user_uploads/690358/ead5d78e-c923-41bb-b34a-74d8d03bb9b8)\n\nWant to see more? [Head over to IcePanel!](https://icepanel.io)\n\n### **🙌 Our ask**\n\n* [Try us out](http://icepanel.io) for free & let us know your feedback\n* Connect us with engineering teams who struggle to fully understand their systems\n* Share with your developer or product friends",
        "url": "https://www.ycombinator.com/launches/HYV-icepanel-collaborative-system-design-linked-with-reality",
        "votes": 26,
        "created_at": "2022-11-23T00:36:21.646Z"
      }
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    "id": 27923,
    "name": "Ariglad",
    "slug": "ariglad",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa1b49a924ad36495aa9e6b0681204fb501d869d.png",
    "website": "https://www.ariglad.com/",
    "all_locations": "Vancouver, BC, Canada; Remote",
    "long_description": "Founded in Vancouver, British Columbia, Ariglad The first AI platform that integrates with support channels and release notes to auto-maintain your knowledge base. Ariglad suggests new articles, updates existing ones, detects duplicates, and merges them. Basically, it puts your knowledge base maintenance on auto-pilot.\r\n\r\nThis is led by Co-Founders Sophie and Ali. They are both completely obsessed with this problem and their customers, who have partnered with Ariglad to become immensely more efficient.",
    "one_liner": "Knowledge base maintenance on auto-pilot",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1668613882,
    "tags": [
      "AI-Enhanced Learning",
      "B2B",
      "Customer Success",
      "Customer Service",
      "Customer Support"
    ],
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    "batch": "Winter 2023",
    "status": "Active",
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      "Operations"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ariglad",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/ariglad.json",
    "year_founded": null,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/ariglad/?viewAsMember=true",
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      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 481460,
        "full_name": "Sophie Wyne",
        "title": "Founder",
        "founder_bio": "Worked in a few different industries before falling for tech (such as the US Department of State, Big Pharma, etc.) and worked as a CSM in cybersecurity, primarily with Fortune 1000 CIOs. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sophie-wyne-0539aaa3/",
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      {
        "user_id": 582057,
        "full_name": "Ali Avci",
        "title": "Founder",
        "founder_bio": "CTO and co-founder who built AI-powered knowledge management and HR/IT help desk products from zero to enterprise adoption. Expertise in LLM pipelines, enterprise integrations, and security & compliance, including SOC 2 and GDPR. Previously built products across healthcare technology, computer vision, and enterprise HR case management.",
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        "linkedin_url": "https://www.linkedin.com/in/aiavci",
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    "news": [
      {
        "title": "Ariglad raises $1.3 million to help HR teams communicate better, fulfill ticket systems | BetaKit",
        "url": "https://betakit.com/ariglad-raises-1-3-million-to-help-hr-teams-communicate-better-fulfill-ticket-systems/",
        "date": "Apr 12, 2023"
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    ],
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    "id": 27936,
    "name": "ClickPe",
    "slug": "clickpe",
    "former_names": [
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    "website": "https://clickpe.ai/",
    "all_locations": "Surat, GJ, India",
    "long_description": "Small shop owners earn daily unlike salaried people but when it comes to loan repayment both are asked to pay monthly. For these shop owners it is difficult to calculate how much to save daily so that they will have the required installment amount at the end of the month and also at the time of repayment they have a big hole in their working capital.\r\n\r\nTherefore, when you earn daily why not pay daily and get away from the stress of huge one-time installments. \r\n\r\nEvery day a small amount of $X is deducted from your digital wallet which is on the auto-debit mandate and you don't need to worry about keeping your balance of $XXXX. You never default and also good credit scores are created.",
    "one_liner": "Finance on a Click",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1679390801,
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      "Fintech",
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    "regions": [
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      "South Asia",
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      "Partly Remote"
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    "year_founded": 2022,
    "city": "Surat",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/dailype",
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        "full_name": "Shashwat Shrikhande",
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        "full_name": "Saurabh Gupta",
        "title": "Founder",
        "founder_bio": "Co-Founder of DailyPe. I have 2 years of experience building products in the lending tech domain at FinBox. I have created products such as Device Connect and Bank statement analyzer to evaluate New to Credit customers. During my college, I opened a glass bottle recycling factory. ",
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      {
        "id": 61815,
        "title": "Backend Intern (Python)",
        "url": "https://www.ycombinator.com/companies/clickpe/jobs/N3kIxQj-backend-intern-python",
        "location": "IN / Remote (IN)",
        "type": "Internship",
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        "id": 68570,
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        "url": "https://www.ycombinator.com/companies/clickpe/jobs/cXo6jPK-backend-engineer-full-time",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "experience": "Any (new grads ok)",
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        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7108793363235008512/",
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      {
        "id": 70455,
        "title": "DailyPe - Repay your loans daily",
        "tagline": "DailyPe is a marketplace for business loans, that are repaid daily.",
        "body": "Hey! We are [Saurabh](https://www.linkedin.com/in/saurabh-gupta2104/) and [Shashwat](https://www.linkedin.com/in/shashwat-shrikhande/), the founders of [DailyPe](https://dailype.in/). We met each other at IIT Kharagpur and have been friends for the past 7+ years. We’re building DailyPe — a marketplace for business loans that are paid in smaller, daily installments.\\\n—\n\n### **Problem 💸: Paying your loans in huge installments at once sucks.**\n\nSmall shop owners earn daily unlike salaried people, but when it comes to loan repayment both are asked to pay monthly. For these shop owners, it is difficult to calculate how much to save each day so that they will have the required installment amount at the end of the month. Also, at the time of repayment, they end up with a big hole in their working capital.\n\n### **Solution 💡: Reduce risk & pay small amounts daily.**\n\n**Borrower Side:** When you earn daily you pay daily and get away from the stress of huge one-time installments. Each day, a small amount of $X is deducted from your digital wallet which is on the auto-debit mandate and you don't need to worry about keeping your balance of $XXXX. You never default, and you also build your credit score. \n\n**Lender Side:** Discover defaulters early because right from the 2nd day onward, your collection data stops you from lending in that particular demographic and geographic location. These data points wouldn't be available in the traditional way of lending till at least the 3rd month. With DailyPe, lending decisions are much more informed leading to higher collection rates and lower NPAs.  \n\n![uploaded image](/media/?type=post&id=70455&key=user_uploads/514038/c1cbfb52-4486-4bf2-aa13-d39065cd0419)\n\n### \n\n### **Why us 😎**\n\nWe both have seen this problem firsthand when our fathers, who ran their own businesses, would stress out days before installment day — saying that they “\\*\\*need to save and transfer money from their secondary accounts to pay for the loan.\\*\\*” \n\nAlso, while working at FinBox and ICICI bank in the past, we built products in the **lending-tech industry.** This was something we had always wanted to build.\n\nFun fact: These loan products are called “**khandi Udhar**” which existed for a long time in the unorganized markets in India. We are making them organized 😁\n\n### **Ask** ❤️\n\n**Lending Partners**: If you can connect us with banks, NBFCs, and debt institutions in India who are open to becoming finance providers for our small business owners. \n\n**Data Points**: If you have worked on credit models, underwriting tech, risk analysis, or any sort of lending algorithm, please reach out to us at [founders@dailype.in](https://mailto:founders@dailype.in). It would be a pleasure to learn from you.             ",
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        "created_at": "2023-03-21T20:51:49.508Z"
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        "full_name": "Joshua Ying",
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        "founder_bio": "Ex-Google co-founder at sage-ai.dev.\nLet's get in touch: joshua@emblem.software",
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      {
        "id": 78163,
        "title": "Sage AI - Your self-generating, self-maintaining code knowledge base",
        "tagline": "We provide a platform that creates and updates symbol-level documentation with language-specific, cross-program context that you can talk to",
        "body": "Hi everyone, we’re Akhil and Joshua and we're on a mission to accelerate expertise and comprehension of any codebase by providing a self-generating, self-maintaining code knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/c88f4b22-6168-4ae1-9424-7944ba0ed16d)\n\n### 🧨 The Problem\n\nThe story of every software team is a constant struggle with knowledge friction and maintaining expertise in the code and surrounding systems.\n\nThese are the perennial issues we’re solving:\n\n* **Staleness:** Most documentation is perpetually stale and it slows development to keep it fresh.\n* **Complexity:** Code becomes more difficult to maintain and improve as it increases in age and size. This is the main reason enterprises with extremely large, old, and complex code can’t move fast.\n* **Fragmentation:** Code information is unversioned and unlinked across disparate platforms, so it’s often unclear what your Confluence article is referring to and whether it’s still applicable.\n* **Discoordination:** Information silos impede collaboration and lead to unnecessary repetition of work. Cross-team features and bugs are exponentially harder to implement and resolve.\n* **Underutilization:** Engineers are expected to take 8-12 months to fully onboard and usually experience a “sink-or-swim” strategy for ramping up a new team.\n* **Overdependence:** Core knowledge is continually lost as employees turnover. Raise your hand if you’ve ever needed to touch code that’s written by an engineer who left in 2014. 🙋\n\nWhether you’re a newly hired engineer, just moved teams, or need to touch code you’ve never seen before, it’s the steepest learning curve in software engineering. This is the skeleton-in-the-closet of software: your average engineer spends more than 40% of their 2-year-tenure “onboarding.”\n\n### 🎉 The Solution\n\n[Sage](https://www.ycombinator.com/companies/sage-ai) is changing this reality. We take your code and automatically generate a symbol-level knowledge base that self-updates to remain forever fresh.\n\nFirst, we integrate with source control to pull your code and generate a symbolic graph representation of functions, classes, interfaces, types, etc., automatically determining the relevant context for each symbol.\n\nWe then use LLMs to annotate and propagate documentation via traversals of the symbol graph, saturating knowledge across multiple traversals.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/14c14041-7efc-425c-9535-913fa9934ccb)\n\nWe're also exposing a configurable, deeply contextualized chat system that can derive higher-level purposes and objectives of program symbols and modules from its own knowledge base.\n\n![uploaded image](/media/?type=post&id=78163&key=user_uploads/1192337/a6b0701b-c4a8-42ad-9405-1d495ee05dad)\n\nIn the future, we'll let your engineers themselves improve the system, and integrate and link current knowledge systems such as Slack and Confluence. As its comprehension of your codebase grows, the quality of every downstream task improves automatic coding, testing, refactoring, bug fixing, vulnerability detection, and so on.\n\n### Our ask\n\n* If you are a software engineer and have struggled with documentation or onboarding in the past, sign up to try the platform at <https://sage-ai.dev>. We would love to get your feedback!\n* If you know any engineers or engineering managers who might be interested in using our platform with their teams, let us know at [founders@sage-ai.dev](mailto:founders@sage-ai.dev)\n* If you are developing AI systems that deal with codebases, let us know if you are interested in consuming docs and symbol graphs as an API.\n* Share any additional feedback in the comments!\n\nSage AI Team (Akhil and Joshua)",
        "url": "https://www.ycombinator.com/launches/KKh-sage-ai-your-self-generating-self-maintaining-code-knowledge-base",
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        "created_at": "2024-02-05T17:43:51.471Z"
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      {
        "id": 70729,
        "title": "Semantic Finance: Real-time AI-powered financial news data",
        "tagline": "We help firms understand the markets faster and better",
        "body": "TL;DR: Semantic provides financial institutions a real-time news insights API for events that affect the financial markets. We use trade data, articles, social media engagement data, and breakthroughs in language models to filter the 99% of noise faster than the markets can react.\n\n—\n\n---\n\nHey YC, we’re Josh and Akhil, and we’re building Semantic.\n\nJosh (CEO) met Akhil (CTO) in high school and share a similar interest in how underutilized qualitative data is in financial markets.\n\nWe reconnected after a combined 7 years of experience in Software Engineering at companies such as Google, IBM, Squarespace, and Charles Schwab.\n\nWe’ve been studying how news impacts markets from a quantitative standpoint independently for years. Joshua developed an event-based trading algorithm that Ematiq proposed to implement during his time at Google.\n\n### **The Problem**\n\n\\\nAs trading firms spend tens of millions on microwave networks, racing for the fastest market data and order execution, GPT-4 has introduced a new race for relevant financial information retrieval and processing. Existing news feeds are too slow, unactionable, and noisy. They provide no additional information or filtering on the context, urgency, and market impact.\n\n### **The Solution**\n\n\\\nWe provide a novel insights layer on top of aggregated news and social media feeds, leveraging breakthroughs in LLMs’ (large language models) incredible semantic understanding of text to structure and automatically find the news that matters.\n\nWe monitor clustered mentions across multiple sources, engagement metrics over time, and anomalous price/volume changes to determine the market impact of events in real-time.\n\nOur primary offering is the **Semantic API**, which is article and tweet data that has been cleaned, filtered, and structured using LLMs.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/9ba82b9b-98ae-4ce5-8295-6a7c25e81ce5)\n\nYou can also receive alerts ahead of the market on events that matter with **Semantic Alerts**. Configure which priority levels activate Discord, Telegram, SMS, email, and phone calls.\n\n![uploaded image](/media/?type=post&id=70729&key=user_uploads/1192337/6a2d288e-0eb9-4eda-95cc-34045e4a01a2)\n\n### **Asks**\n\n* Do you know people at any trading platforms or institutions (hedge funds, prop shops, trading firms) that might benefit from low-latency financial news insights and alerting system?\n* Are you a trading platform or financial institution looking for configurable real-time financial news insights to surface to your customers?\n\n[Sign up for early access](https://semanticfinance.com/)!\n\nSemantic Team (Josh, Akhil)",
        "url": "https://www.ycombinator.com/launches/IOn-semantic-finance-real-time-ai-powered-financial-news-data",
        "votes": 30,
        "created_at": "2023-04-03T23:14:29.451Z"
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    "name": "Hadrius",
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    "all_locations": "New York City, NY, USA",
    "long_description": "Hadrius allows regulated financial firms of all sizes to consolidate and automate their compliance processes using AI in one platform. Today, we're securing compliance for $3T+ AUM across our clients.\r\n\r\nWe're building the AI that will regulate the US financial system and the trillions that flows through it.",
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    "team_size": 80,
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        "full_name": "Thomas Stewart",
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        "title": "BDR",
        "url": "https://www.ycombinator.com/companies/hadrius/jobs/BJuHAmA-bdr",
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        "location": "New York, NY, US",
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        "id": 105452,
        "title": "Strategic Finance and Operations Manager",
        "url": "https://www.ycombinator.com/companies/hadrius/jobs/sPagTwJ-strategic-finance-and-operations-manager",
        "location": "New York, NY, US",
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        "role": "Finance",
        "role_type": null,
        "salary_range": "$150K - $180K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109291,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/hadrius/jobs/3JlZ5A8-customer-success-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$135K - $165K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "FinTech firm Hadrius nets $2m seed round for AI-powered SEC compliance",
        "url": "https://fintech.global/2023/09/12/fintech-firm-hadrius-nets-2m-seed-round-for-ai-powered-sec-compliance/",
        "date": "Sep 12, 2023"
      }
    ],
    "launches": [
      {
        "id": 70075,
        "title": "Hadrius - SEC regulatory compliance powered by AI",
        "tagline": "Hadrius is your SEC compliance copilot, saving compliance teams hours daily.",
        "body": "Hey everyone - we’re [Thomas](https://www.linkedin.com/in/thomasjstewart/), [Allen](https://www.linkedin.com/in/androidallen/), and [Som](https://www.linkedin.com/in/som-mohapatra/) from [Hadrius](https://www.hadrius.com). Hadrius automates the entire ongoing SEC compliance process for investment managers, saving compliance teams hours daily on manual reviews, filings, and audit prep while giving full control over tasks and flagged items from an intuitive dashboard.\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/52bbfc17-b327-4223-99b1-4c221a692e23)\n\n### **The Problem ❌**\n\n30,000+ financial firms spend a combined total of $16b+ a year on ongoing SEC compliance, and with new regulations every year, these costs are continuing to rise. At the same time, the existing solutions can hardly keep up, with most firms paying for third-party consultants, law firms, and 2-decade-old software - while still relying on endless manual work to make up the gap.\n\nThe result: upwards of $10k/year per employee spent on regulatory compliance and thousands of hours of tedious tasks at each financial firm.\n\n### **The Solution ✨**\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/5a1b6f89-e106-431d-b8d0-500788a169be)\n\n \n\nHadrius scans emails, slack and SMS with GPT3, flagging non-compliant language to speed up correspondence review and does similar work for marketing review and regular filings. We’ve also automated billing reviews, allocation reviews, and rollovers by integrating into investment managers’ existing compliance stack (like client CRMs and trading systems).\n\nAll this is presented to the CCO and their compliance team as a dashboard where they can manage the automated tasks and review flagged items that require human input - overall savings hours daily.\n\n### **Why Us 🤝**\n\n![uploaded image](/media/?type=post&id=70075&key=user_uploads/441787/2991c0e1-d02d-43a0-a161-499a3b680426)\n\nWe ran an SEC-registered RIA ourselves, we've faced these challenges firsthand and developed Hadrius for our own fully-automated compliance program. We aim for a world where compliance is the effortless state of financial firms, rather than constant worry requiring expensive vigilance to maintain.\n\nAcross the team, we’ve had 1 previous exit and worked at Google, hedge funds, and Chime.\n\n### **Launch Deal 🙏**\n\nIf you’re an asset manager, we’ll begin automating your entire compliance stack with 20% off our annual contract as an early bird discount. Send us an email at [hello@hadrius.com](mailto:hello@hadrius.com) or [book a demo](https://0lxsd1t7maq.typeform.com/to/ac9F9JZV?typeform-source=www.hadrius.com)!",
        "url": "https://www.ycombinator.com/launches/IEF-hadrius-sec-regulatory-compliance-powered-by-ai",
        "votes": 22,
        "created_at": "2023-03-09T00:41:20.664Z"
      }
    ]
  },
  {
    "id": 27945,
    "name": "Fairway Health",
    "slug": "fairway-health",
    "former_names": [
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      "MosaicAI",
      "Mosaic"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c6a5ab354c877fee7eb9b5d62ab08b4f08908c4.png",
    "website": "https://www.fairwayhealth.co/",
    "all_locations": "New York City, NY, USA; Philadelphia, PA, USA; Boston, MA, USA; Remote",
    "long_description": "Fairway Health is an AI-assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\r\n\r\n",
    "one_liner": "AI Co-Pilot for Health Insurers to Authorize Treatment Faster",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1679008198,
    "tags": [
      "Health Tech",
      "B2B",
      "Healthcare",
      "Health Insurance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/fairway-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/fairway-health.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fairway-health",
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1096888,
        "full_name": "Moses Im",
        "title": "Founder",
        "founder_bio": "CEO of Fairway Health. Moses was previously an MD candidate at Thomas Jefferson Medical School where he also was a clinical researcher in patient outcomes of surgical vs transcatheter aortic valve replacement. Before medical school, he also did molecular biology research at Princeton University in HIF-1α as a possible therapeutic target for Parkinson's Disease and the role of HIF-1α in early-stage development of aviary lungs. Moses has a bachelor’s degree in molecular biology from Princeton. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moses-im/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7590acd57c95d2aa492e9de950f5234117dee7f1.jpg"
      },
      {
        "user_id": 1031133,
        "full_name": "Joseph Chen",
        "title": "Founder",
        "founder_bio": "CPO of Fairway Health. Joseph has dedicated several years building at the intersection of health, ML, and software. He has research experience at Deepmind, Columbia, and Synbio Technologies in areas such as fabricating a neurosurgical tracking sensor and predicting antibody heavy and light chain pairing within an NGS sequencing library. He was also a software engineer at Pillpack where he built a service that checks if users' prescriptions are safe to take in the context of their health profile.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephchen2022/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12d2d68b2ed983d23a66ad80caa4859e0c7838dd.jpg"
      },
      {
        "user_id": 321627,
        "full_name": "Grace W",
        "title": "Founder",
        "founder_bio": "CTO of Fairway Health. Grace previously worked at Asana and AWS on authentication/authorization and IoT device data monitoring respectively. Before that, she worked at MDClone, developing packages to enable the analysis of hundreds of thousands of datapoints for attributes such as patient remission. She also previously did research in ML in computer vision (detecting diseases from retinal OCT scans) and natural language processing (efficiently optimizing pre-trained language models like GPT).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/grace-wang-0a6173193/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d07be6a7265a3930e035ca9926a48138df952e8f.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "TurningPoint Healthcare Solutions Acquires Fairway Health to Accelerate Innovation in Condition Management",
        "url": "https://www.prnewswire.com/news-releases/turningpoint-healthcare-solutions-acquires-fairway-health-to-accelerate-innovation-in-condition-management-302144997.html",
        "date": "May 14, 2024"
      }
    ],
    "launches": [
      {
        "id": 70364,
        "title": "Fairway Health - Process prior authorization faster",
        "tagline": "We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.",
        "body": "### **TL;DR**\n\nFairway Health is an AI assistant for health insurers to quickly process patient treatment authorizations. We use LLMs to analyze long (70+ page), messy medical records and determine if a patient is eligible for a treatment.\n\n### **What is Prior Authorization?**\n\nPrior Authorization is a process where physicians must obtain approval from a patient’s health insurance plan before a specific treatment or medication is delivered. This process can take an **average of 2-14 days, with some cases taking upwards of 15-31 days**. This prevents patients from receiving necessary treatments in a timely manner. The entire healthcare industry is also projected to **spend $36 billion each year** in administrative costs for this process. \n\n**This process for health insurance is still manual and inefficient:**\n\n1. Patient documents sent to health insurance are a mess and can be a **70-100+ page fax.**\n2. Health insurance companies have to **allocate more headcount to try and manually check these documents** against their medical necessity criteria, costing them millions each year.\n\n### **How it works:**\n\nWe speed up the medical eligibility determination for health insurers. We ingest patient documents + criteria from health insurance plans and use LLMs to output an approval/denial decision with justification based on an evaluation of each sub-criteria. We also highlight the context within the medical document that informed the decision to allow for easy review.\n\n![uploaded image](/media/?type=post&id=70364&key=user_uploads/1096888/fceffbb3-e71a-4523-a0a9-df7c73f34c76)\n\n### **Our ask:**\n\nAre you in health insurance or do you know anyone in health insurance? Ping us at [moses@fairwayhealth.co](mailto:moses@fairwayhealth.co). We would love to get connected and hear if we can help speed up your medical necessity determination process.",
        "url": "https://www.ycombinator.com/launches/IIu-fairway-health-process-prior-authorization-faster",
        "votes": 304,
        "created_at": "2023-03-16T23:33:50.968Z"
      }
    ]
  },
  {
    "id": 27950,
    "name": "Sherloq",
    "slug": "sherloq",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png",
    "website": "http://sherloqdata.io/",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack.\r\n\r\nToday, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files).\r\nCreating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. \r\n\r\nUsing our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place.\r\nWe ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.",
    "one_liner": "One place for all your queries, directly on your SQL editor",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1674678598,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Analytics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "Israel",
      "Middle East and North Africa"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sherloq",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sherloq.json",
    "year_founded": 2022,
    "city": "Tel Aviv-Yafo",
    "country": "IL",
    "linkedin_url": "https://www.linkedin.com/company/sherloqdata/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1123455,
        "full_name": "Noy Twerski",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/noy-twerski/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570c4a28e170147e7cb796378e38c01f2c50fae6.jpg"
      },
      {
        "user_id": 1151605,
        "full_name": "Nadav Gutman",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nadav-gutman-213637197/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9cb3e2af8dea6b2bb119e12ba856d4670db2257.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 85978,
        "title": "⚡🔍 Sherloq - Collaborative SQL Repository for the GenAI Era",
        "tagline": "One place for all your queries, directly on your SQL editor.",
        "body": "![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/7c98d785-c103-402b-a746-f59818b533ce)\n\n# 🔍 **TL;DR**\n\n**Sherloq is the one place for all your queries, on top of your SQL editor.**\n\nUsing the SQL repository plugin, you can collaboratively organize, save, and share your SQL code, without leaving your editor and IDE.\n\nThat means you can actually focus on what matters most - analyzing the data and creating meaningful insights for your org.\n\n[Try it out yourself for free!](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post)\n\nWatch our quick [demo:](https://www.youtube.com/watch?v=u2Rddj6Cekg)\n\n# 🔍 **The Problem**\n\nIf you use SQL, you probably know that we **spend too much time on managing, sharing and finding our code**, and that SQL is scattered between different tools, docs, dashboards, people and even notepads.\n\nYou might relate to one of these:\n\n* Trying to remember when was the last time you ran a SQL on some ‘users_v2’ legacy table, and who might know where it is.\n* Clone, update, commit, merge, push just to change the field from “revenue” to “revenue_new.\n* Asking the company-wide Slack channel if someone can send the most updated CASE WHEN condition we talked about in yesterday’s daily.\n* Going over 252 queries in the ‘All Queries’ Docs file with cmd+f: ‘prospect_id’.\n* Getting asked from the product / marketing team, for the 6th time that week, how to filter out all ‘cohort week 7’ users from the company dashboard.\n* Waiting 45 minutes just to retrieve the custom SQL from your Tableau Dashboard for that CTE you use.\n\n**Common alternatives today aren’t built for this type of code, making each person independently manage their day-to-day SQL work.**\n\nIn the GenAI Era, SQL is becoming even more popular as everyone inside the org can easily access and use it.\n\nCompanies are actually generating more and more data and SQL, and are looking for ways to democratize it and make data as self-served as possible.\n\n_The result of all of this?_ Spending too much time on creating inconsistent SQL, that leads to inconsistent data.\n\n### \n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/1d75b0a1-ddf6-4cd6-89d4-9e1f1c30b4cb)\n\n### 🔍 **Enter Sherloq**\n\nAs we ourselves were (and are still) heavy SQL users, we were looking to create a solution that gives us just the right amount of order we need.\n\n**Something that’s actually built for this type of code:**\n\n* **Hassle free:** More organized than a Notepad / Slack channel / Notion Page, but doesn’t require any process that’s an overkill like Github.\n* **Zero integration:** It sits on top of our SQL editor but doesn’t require any integrations or have access to the data itself.\n* **Collaborative**: It has a shared workspace but also has a place for our own personal work.\n* **Built for the entire org:** Can be used by people that love data and understand it, and by those that don’t.\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/38198f2b-19af-4822-8189-3c2fbaee628c)\n\n# 🔍 **Using Sherloq you’ll be able to:**\n\n* 📁 Create a shared SQL repository for your org and team\n* 💻 Manage your code better with reusable SQL snippets and templates\n* 🕶️ Understand your code faster with AI SQL ERD diagrams, formatting, _(coming soon)_ SQL errors explained, and query optimization\n* 📝 AI auto-documentation including SQL version control, generated query names and descriptions\n\n# 🔍 **How it works**\n\n1. Download for free the [Chrome Extension](https://chromewebstore.google.com/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk?utm_source=yc&utm_medium=launch&utm_campaign=post) / [JetBrains Plugin](https://plugins.jetbrains.com/plugin/22201-sherloq--save-share--simplify-your-queries?utm_source=yc&utm_medium=launch&utm_campaign=post) (VSCode _coming soon_!)\n2. Save your SQL, create folders, and share them with your team\n3. Use for free until you reach the saved SQL limit\n\n**✨Together with our customers and users, we’ve just finished a complete product redesign! ✨**\n\n**We’ve added new capabilities and made it 10x faster and easier to use.**\n\n🥳 To celebrate, we’re giving our YC community a [15% discount, try it out.](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post) \\\nWe’re freemium, so you only start paying after reaching the saved SQL limit :)\n\nWe’d really love to hear what you think, check it out for free and let us know!\n\n[hello@sherloqdata.io](mailto:hello@sherloqdata.io)\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/d8598246-3821-4165-aab2-51d4d62610fc)\n\n",
        "url": "https://www.ycombinator.com/launches/MMk-sherloq-collaborative-sql-repository-for-the-genai-era",
        "votes": 117,
        "created_at": "2024-12-02T18:51:37.240Z"
      },
      {
        "id": 69960,
        "title": "⚡🔍 Sherloq: Collaborate and manage your SQL data with the power of Gen AI",
        "tagline": "One place for all your data team's SQL queries on top of your existing data stack",
        "body": "**TL;DR**\n\nSherloq is a collaborative SQL repository, like Github for data teams, that creates one source of truth for all company queries using Gen AI. With Sherloq, different data analysts are asked the same question and they always give the same answer.\n\n—\n\nHey everyone 👋 We’re [Alon (CTO)](https://www.linkedin.com/in/alon-greenfield/), [Noy (CEO)](https://www.linkedin.com/in/noy-twerski/) and [Nadav (COO).](https://www.linkedin.com/in/nadav-gutman-213637197/)\n\nWe’re happy to introduce Sherloq - the first collaborative SQL repository for data users.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/7976b4f2-b95d-4fbd-865a-c978601fe8cc)\n\n### 🔍 **Inconsistencies in data analysis destroy business value, and costs orgs more than $15M per year**\n\nWith the adoption of the modern data stack and while companies store endless amounts of data, data teams (analysts, scientists and engineers) spend 60% of their time trying to find, understand and manage their data. \n\n**Data analysis is still very subjective and dependent on the user creating it:**\n\n* Company business metrics are interpreted differently by each data user, and have various definitions \n* Structured data consist of hundreds of out-of-date fields with similar names, making it almost impossible to determine the most relevant fields for a particular analysis\n* Since SQL code is stored locally on each data user’s computer and isn’t reused, every data user writes code their own way regardless of company best practices\n\nThe rise of Gen AI changes the rules of the game, as now it enables us to take data explainability to a new level of clarity, a capability we only wish we had a few months back.\n\nAs we ourselves were data users in companies such as Microsoft, Walkme and 8200 the Cyber Intelligence Unit at the IDF, we’ve experienced this problem firsthand and waited for a proper solution for too long. \n\n### 🔍 **Enter Sherloq**\n\nSherloq is a collaborative SQL repository that creates one source of truth for all company queries. \n\nWe change the paradigm of how queries are stored and analyzed, with our new product capabilities and technology:\n\n1. **Zero integration and hassle free** - our add-on to any query editor, and our own SQL parser algorithm, extract the relevant queries automatically, so we know the data scheme, queries, users and usage in a click\n2. **Tailor-made data knowledge base per organization** - based on our fine tuned LLMs and by analyzing each company’s own data usage and costs, we automatically create a knowledge base within hours of download\n\nUsing Sherloq, organizations increase their data teams’ productivity by 2x and save 60% of their direct data management costs.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/cb7564dc-3337-4063-9f88-b8b0788e04c1)\n\n### **🔍 **[**Try**](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk)** our Google Chrome Extension**\n\nIf you’re tired of adding more and more tools to your data stack (like we were), our add-on sits on top of your **existing** query editor, so you don’t need to change anything in your current workflow. \n\n**After downloading, you’ll be able to:**\n\n* 🛫 Use auto-complete and co-pilot features on your own query editor\n* 🪄 Automatically generate descriptions and names for each query and table\n* 📁 Create SQL version control and shared folders\n* ⏱️ Based on our metadata analysis, you’ll get to know best practices for optimizing your queries and database\n\n### 🔍 **Don't waste another minute on unreliable data analysis**\n\n[Download](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk) Sherloq! We’re offering a 50% discount until Demo Day.\n\nWe’d love to hear your thoughts and feedback, so feel free to schedule [here](https://calendly.com/noy-twerski/30-minute-meeting) or reach out to us - [noy@sherloqdata.io](mailto:noy@sherloqdata.io)",
        "url": "https://www.ycombinator.com/launches/ICO-sherloq-collaborate-and-manage-your-sql-data-with-the-power-of-gen-ai",
        "votes": 136,
        "created_at": "2023-03-06T14:46:00.148Z"
      }
    ]
  },
  {
    "id": 27951,
    "name": "Honeydew",
    "slug": "honeydew",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png",
    "website": "https://honeydew.ai",
    "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel",
    "long_description": "The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow.\r\n\r\nUsing Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity.  ",
    "one_liner": "The home for shared data logic",
    "team_size": 6,
    "industry": "B2B",
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        "body": "# TL;DR\n\n**We are a shared source of truth for data teams living** **in the data warehouse.**\n\nWhy is it that your “daily active users” never add up to the same number in different reports? Your data team is amazing, but it’s a struggle to keep all metrics synchronized. There is no single place that enables a shared workflow and truth.\n\nHave you ever seen a screw-up like:\n\n1. Presenting wrong numbers in an exec meeting 🤦‍♂️\n2. Not being able to understand how a KPI such as Daily Active Users, Churn or ARR was built 😡\n3. Spending all your time on preparing and transforming data instead of producing insights on top of it 😫\n4. Making a change to a KPI calculation and breaking the CEOs favorite dashboard 🙀\n\nWe fix this! [Honeydew](https://honeydew.ai/) helps the data team organize analytics into manageable blocks of knowledge supporting every data flow. Users can consume them in SQL, Tableau, Looker, Python, or dbt.\n\nOur product is being used by multiple early adopters - unicorn companies in cyber, insurance tech, and cloud ops.\n\nWe (Baruch, Liron and David) always want to talk, at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/yjm-8jd-pwt/honeydew-20min-call) if you ever felt or feel the data mess pain.\n\n![uploaded image](/media/?type=post&id=70089&key=user_uploads/1136239/95e430f6-06cd-4df5-bc7c-46e840c95751)\n\n---\n\n# **Would you like to know more?**\n\n### 💡 How does it work?\n\nWe connect to Snowflake and act as a layer on top of it for different data tools.\n\n(_we don’t need to access your data, and yes - we are SOC2-compliant_)\n\nThen,\n\n1. Map the source data and relations (we can map it automatically for you 😎)\n2. Create reusable pieces of logic like what is a _User_, what is _Active_, what is _Daily_\n3. Create a workflow around it, that helps the team to control changes\n4. Connect any tool, it will use the same logic ✌️: Tableau, Looker, dbt, Python or SQL\n5. Under the hood: we’ll will build the needed data pipeline on the fly and then maintain it to reflect the current truth.\n\n<https://www.youtube.com/watch?v=gSfIU-FOfW4>\n\n---\n\n### 🏗️ Why did we build this?\n\nAll three of us encountered and solved this problem in our previous roles.\n\nLiron founded a company that turned fashion consumer behavior data into real-time (yes, the numbers always lie 🤥 ). Baruch built AI products on sales data in Salesforce (yes, the numbers lie even with AI 🤥 ). David founded a company that built data lake acceleration (we calculated everything right, the questions lied 🤥 ).\n\nSo far we talked with over 300 analytics teams. They were all busy trying to get consistent data their stakeholders can trust. The surprising thing is that there is a gap that nobody is filling at the moment - this gap was covered before BI like Looker, and even before with likes of SAP Business Object. We fill this gap.\n\n### 👩‍💻 Why do customers want to use Honeydew?\n\n* “I struggle to keep logic in Looker and in the warehouse the same. I want to build it once”\n* “I am building a new data team, and I don’t want to end up with another dbt spaghetti”\n* “We have every tool in the modern data stack, and yet our KPIs calculations end up being managed in a wiki, reimplemented in ETL and dashboards. This does not make any sense”\n\n### 🙏 Our ask\n\n* Does your company have a data team? We would love to talk to them!\n* Does your company plan to have a data team? We would love to talk to you!\n* Do you like to talk about data in general? We also do, any time 😀\n\n### 🍈 Our deal\n\n* Sign up before demo day, and we do all the onboarding for you, free of charge\n\nLove - team [Honeydew](https://honeydew.ai/)\n\nFind us at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/zyr-qvr-dhv/honeydew-grab-a-time)",
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        "title": "Milestones - Keep clients in the know.",
        "tagline": "🌉 The bridge between a business's CRM and their clients",
        "body": "We’re Milestones, and we’re building the bridge between businesses CRM and their clients. \n\nIn 2018, Co-Founder, Manny’s wife, was in a car accident on her way to work. The injuries she suffered put her out of work for a few weeks and caused emotional trauma, so she decided to hire a lawyer to get her compensation. During the course of her legal case, she never felt like she was kept in the loop. She didn’t understand the process and always wanted more information.\n\nWhen a client wants more info should they always have to reach out? Do you text Amazon to ask them where your package is at? No! We believe you shouldn’t have to text a business to see where your project is at either.\n\n### **❌ A Two-Sided Problem**\n\n* **Clients:** In today's day and age it's typical to have all the information we want at our fingertips. Clients get frustrated because they want to know what is being worked on and what comes next.\n* **Businesses:** Businesses are often much too busy to keep clients updated with every phase of their project. Businesses often store a wealth of information in their software, but that information is never communicated/available to clients.\n\n### **🧪 Solution**\n\nThink about your interactions with various businesses:\n\n* Insurance claims\n* Taxes\n* Getting a loan\n* Building a house\n* Legal cases\n* Oil changes\n* Solar Installations\n* etc.\n\nHow much better would it be if there was a _Domino's Pizza Tracker-esque_ interface for each one?\n\n* Milestones connects directly with a business’s CRM to automate updates and stream information back and forth. Notifications are sent to clients via text message, so that a client has easy access to the information. Clients enter the milestones application through a link in the text message. Clients and businesses can communicate back and forth through the Milestones application.\n\n  ![uploaded image](/media/?type=post&id=67468&key=user_uploads/916405/aafd64e0-bdb2-4d9d-8b05-5eb245efdf5a)\n\n\n### **⚙️ How it works**\n\n* Using API’s, a business can set up which information they want to be pushed back and forth to clients. That information includes:\n  * Status Updates\n  * Documents\n  * Educational information\n  * Calendared Events\n  * Team Information\n  * Etc.\n* Clients use SMS and the Milestones app to interact with the business.\n\n \n\n### **🙏 How to help:**\n\n1. Share this post!\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/milestonesapp/) & [Twitter](https://mobile.twitter.com/getmilestones).\n3. If you know a business that could use our tool, let them know about us!",
        "url": "https://www.ycombinator.com/launches/HYC-milestones-keep-clients-in-the-know",
        "votes": 63,
        "created_at": "2022-11-22T17:51:45.991Z"
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    "id": 27967,
    "name": "Echo",
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    "website": "https://www.echothat.ai/",
    "all_locations": "Haifa, Haifa District, Israel",
    "long_description": "Echo helps B2B founders know exactly what to say during a sales call to win the business, including how to respond to any objections that come up. We do this by generating a personalized sales playbook based on best practices and providing an intuitive interface for following its guidelines in real time.",
    "one_liner": "Founder-led sales co-pilot for B2B startups.",
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    "status": "Inactive",
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    "country": "IL",
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        "full_name": "Tal Feld",
        "title": "Founder/CEO",
        "founder_bio": "Hi, I'm Tal 👋  I've always been curious about how everything works, and passionate about building things.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/tal-feld-profile/",
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      {
        "user_id": 1162103,
        "full_name": "Ido Fishbain",
        "title": "Founder",
        "founder_bio": "Loves to code, co-founder @ Echo",
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        "linkedin_url": "https://www.linkedin.com/in/ido-fish-62577b102/",
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      {
        "user_id": 858171,
        "full_name": "Noam Hertz",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at Echo, helping B2B startups streamline sales with AI-driven tools and structured playbooks. Passionate about building solutions that make a difference.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/noam-hertz-a18ba5142/",
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      {
        "id": 83680,
        "title": "Echo - Founder-led sales co-pilot for B2B startups",
        "tagline": "We’re like a sales coach, but automated, and at a fraction of the cost. ",
        "body": "**tl;dr**: [Echo](https://www.echothat.ai/) helps B2B founders excel at sales calls by building and consistently executing their sales playbooks. We use a fine-tuned language model to automate the process founders undergo with sales coaches, assisting them in adopting and maintaining best practices. [If you need help with this, let's talk.](https://usemotion.com/meet/tal-feld/intro)\n\n—\n\nHey everyone, we’re [Tal](https://linkedin.com/in/tal-feld), [Noam](https://linkedin.com/in/noam-hertz), and [Ido](https://linkedin.com/in/ido-fish-62577b102). We've been friends for over 15 years, built products together for the past four years, and are on a mission to help B2B founders get better at sales.\n\n![uploaded image](/media/?type=post&id=83680&key=user_uploads/834401/08186ad5-8ddc-4cb7-a08e-b8370a4a969a)\n\n# **How we got here**\n\nOver the past two years, we've conducted hundreds of B2B discovery and sales calls. After repeatedly failing to qualify prospects and close paying customers, we realized we had to change our approach to sales. We read sales books, listened to podcasts, and consulted with sales coaches. What ultimately worked for us was the sales coaches' playbooks for each step in the sales process, and it worked like a charm. We finally had a structured process and knew what to say at each point. We started quickly disqualifying prospects and, most importantly, started closing paid customers repeatedly. Going through this process ourselves made us realize it could and should be automated without paying a sales coach $2-3k/hour. So that's what we're doing.\n\n# **The Problem: Founder-led sales are unstructured**\n\nFounders often conduct sales calls without a clear plan and fail to follow best practices, resulting in missed opportunities. In particular, they fail to:\n\n* Qualify prospects and eliminate window shoppers.\n* Convince prospects to give their product a chance.\n* Prove they can deliver value in a short period.\n* Monetize their value and grow their revenue.\n* Determine why a deal was won or lost.\n\n![uploaded image](/media/?type=post&id=83680&key=user_uploads/834401/712831f0-0419-4d9b-9307-b575a163a532)\n\nThis means an unclear path for improvement and a lack of understanding of what needs to change to increase revenue consistently.\n\nFounders who attempt to resolve this issue by delegating to a salesperson spend significant money and time only to realize that this approach does not work.\n\n# **The Solution: Personalized playbooks with a close feedback loop**\n\nEcho helps early-stage startups improve qualification, shorten sale cycles, and increase close rates in a repeatable way by building and consistently executing their sales playbooks.\n\nEach playbook is a guide that covers questions to ask, information to share, and decisions to make during each discovery, demo, POC scoping, and closing call.\n\n**How it works**\n\nEcho will coach you similarly to how human sales coaches work with clients but in an automated way.\n\n1. You fill in a brief about your company.\n2. Echo will generate a custom playbook for each step.\n3. You record your calls and share them with us.\n4. Echo will generate feedback on execution and how to improve.\n5. Playbooks are updated based on new insights from your calls.\n\n# **Ask**\n\n* Share and upvote this post. It would help us a lot.\n* If you are a founder at a B2B startup looking to improve your sales, [book an intro call](https://usemotion.com/meet/tal-feld/intro).\n* If you have worked with a sales coach and are willing to share your experience, we would love to [chat with you](https://usemotion.com/meet/tal-feld/short-chat).\n* If you hear other founders complain about their sales, please direct them to our [website](https://www.echothat.ai/) or introduce us at [tal@echothat.ai](mailto:tal@echothat.ai).",
        "url": "https://www.ycombinator.com/launches/Llg-echo-founder-led-sales-co-pilot-for-b2b-startups",
        "votes": 76,
        "created_at": "2024-09-02T18:32:45.040Z"
      }
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    "id": 27968,
    "name": "Alaan",
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    "website": "https://www.alaan.com/",
    "all_locations": "Dubai, Dubai, United Arab Emirates",
    "long_description": "Alaan is an AI-native finance platform for businesses in the Middle East. One platform for corporate cards, expense management, cross-border payments, accounting automation, treasury, business banking, and more, with AI doing the work finance teams used to do by hand: coding transactions, chasing approvals and receipts, flagging policy breaches, placing treasury deposits and closing the books.\r\n\r\nOur mission is to simplify finance for businesses so they can save time and money.\r\n\r\nOver 3,000 businesses use Alaan, from first-time founders to enterprises like Careem, G42, Tabby, Al Barari, and Rivoli. Since 2022, they have saved more than 2.2 million hours of manual finance work.\r\n\r\nAlaan raised one of the largest Series A rounds in Middle East history, backed by Peak XV (formerly Sequoia India), Y Combinator, 468 Capital, and 885 Capital, among others. Headquartered in Dubai, Alaan has more than 250 employees across its Dubai, Riyadh, and Bangalore offices, with a team that comes from Careem, McKinsey, BCG, Goldman Sachs, Amazon, Revolut, Rippling, and the world’s leading firms.\r\n\r\nAlaan has been named to the UAE Future 100 list, selected as an Endeavor company, and ranked the No. 1 spend management platform in EMEA by G2.",
    "one_liner": "Ai-native finance platform for the Middle East",
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    "industry": "Fintech",
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    "country": "AE",
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        "full_name": "Karun Kurien",
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        "url": "https://www.ycombinator.com/companies/alaan/jobs/EhKvazF-customer-experience-specialist",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "url": "https://www.ycombinator.com/companies/alaan/jobs/4yrhOC3-senior-backend-engineer",
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        "title": "Fastgen - Low-Code API and workflow builder",
        "tagline": "Fastgen is a low-code API and workflow builder with an integrated Postgres DB.",
        "body": "### **☕️TL;DR**\n\n**Fastgen is a low-code API and workflow builder with an integrated Postgres DB.**\n\n**Our current customers use Fastgen to build backends for MVPs or internal tools and automate repetitive workflows for GTM, operations, or marketing teams.**\n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/9b34df33-c911-4794-a329-8a7569e52502)\n\n### **Origin Story**\n\nThis is our second YC company. With Blair (YC S19), we raised more than $100M to help students get access to education in the US. One of our constant questions was how we could move even faster. We are building Fastgen to answer that question and are building a tool we wish we had during our time at Blair.\n\n## **What is Fastgen**\n\n### **REST APIs**\n\nFastgen's API Builder enables you to quickly create any REST API by using an intuitive drag-and-drop interface. Our platform also includes pre-built integrations to popular tools such as Sendgrid, Slack, and Twilio and the ability to connect to any external API you need for data exchange. We launch new integrations every week to make our users’ lives even easier. Instead of spending hours integrating third-party APIs and dealing with hosting, you can drag and drop the action into an API flow and deploy it with the click of a button. \n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/9975f322-3ebe-4ca1-806f-520196fcc9af)\n\n### **Workflows**\n\nWith Fastgen, you can create time-based workflows that trigger at regular intervals and event-based workflows through the same user interface as the API builder. One of the standout features of Fastgen is the flexibility to define any action in a workflow or API as a custom event, which can then be utilized as a trigger for a separate workflow. \n\n### **Database**\n\nFastgen's integrated Postgres DB simplifies creating, reading, updating, and deleting data within your applications. You can easily build and manage your database alongside your APIs and workflows, all within one platform. If you have your own Postgres DB and don't want to use our hosted solution, Fastgen seamlessly connects to your database so you can take advantage of our platform's other features without changing your database setup.\n\n![uploaded image](/media/?type=post&id=70265&key=user_uploads/334116/f889316f-2fbe-485f-b7f5-b88e7fcec9d2)\n\n**Our ask:**\n\n* If you want to be part of our private beta, sign up on [fastgen.com](http://fastgen.com)\n* Mention that you saw us on Launch YC for prioritized onboarding",
        "url": "https://www.ycombinator.com/launches/IHJ-fastgen-low-code-api-and-workflow-builder",
        "votes": 394,
        "created_at": "2023-03-14T14:58:17.048Z"
      }
    ]
  },
  {
    "id": 27982,
    "name": "Clueso",
    "slug": "clueso",
    "former_names": [
      "Desklamp"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bb9d01e5193ccdd98bfdf1cea08fb2ede901fe5.png",
    "website": "https://clueso.io",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Clueso is the fastest and easiest way for companies to generate high-quality instructional videos and documentation, ideal for customer education/onboarding and employee training. Our AI transforms simple screen-recordings into studio-quality videos and step-by-step documentation in minutes.",
    "one_liner": "Create beautiful videos & docs for any product or process in minutes",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1677925658,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Customer Success",
      "Enterprise"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/clueso",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/clueso.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/clueso",
    "x_url": "https://twitter.com/_Clueso",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bb9d01e5193ccdd98bfdf1cea08fb2ede901fe5.png",
    "app_video_url": null,
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    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1159730,
        "full_name": "Akash Anand",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO at Clueso. \nAI to automate video creation for marketing, support, sales, and training teams. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/theakashanand/",
        "x_url": "https://twitter.com/realAkashAnand",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7153577a8363c9b34d410626830c013aa88ddbb.jpg"
      },
      {
        "user_id": 1156693,
        "full_name": "Neel Balar",
        "title": "Founder",
        "founder_bio": "I'm Neel, CBO at Clueso. Prior to Clueso, I built and scaled a consumer note-taking app to 20K+ users while in college. I studied Engineering Design and Data Science at IIT Madras. I previously led Asia's most advanced student Hyperloop team, where we raised $1.1M from the Indian govt. I also represented India at the SpaceX Hyperloop Pod Competition organized by Elon Musk. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neelbalar7/",
        "x_url": "https://twitter.com/BalarNeel",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c208d0c8a14f7da8da25a572bf83947c740cc12a.jpg"
      },
      {
        "user_id": 1156437,
        "full_name": "Prajwal Prakash",
        "title": "Founder",
        "founder_bio": "I'm Prajwal, co-founder at CTO at Clueso. I'm a Bangalorean and a recent (2022) CS grad from IIT Madras where I graduated top of my batch. I've always loved building products (previously made Desklamp, a consumer notetaking app) and working with nascent technologies (interned at Adobe AI, co-founded a quantum machine learning group in college). When I'm not thinking about tech, I write stand up sets.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prajwalprakash2000/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e228947a894dc4c36a882b59bb9d09b487d332d.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Business video automation startup Clueso raises $10M to kill off manual production processes",
        "url": "https://siliconangle.com/2026/10/13/business-video-automation-startup-clueso-raises-10m-to-kill-off-manual-production-processes/",
        "date": "Oct 13, 2026"
      },
      {
        "title": "Announcing our $1.4M seed funding | Clueso",
        "url": "https://www.clueso.io/blog-posts/announcing-our-seed-funding",
        "date": "Apr 23, 2024"
      }
    ],
    "launches": [
      {
        "id": 106963,
        "title": "Clueso Agents: Ship product videos automatically, whenever you ship features.",
        "tagline": "Launch videos, product demos, help tutorials, and more - all created automatically with every release.",
        "body": "Every new feature needs a launch video, help tutorial, sales demo, and more such content.\n\nClueso Agents automate the entire video production pipeline. From generating screen recordings of your product to voiceovers, motion graphics, and visuals that match your brand style.\n\nWith Clueso Agents, your content team can ship as fast as your engineering team does.\n\n[**https://youtu.be/2rio5VoUUV8**](https://youtu.be/2rio5VoUUV8)\n\n**🔴 The Problem**\n\nVideos are the best way to communicate your product’s value.\n\nBut they’re still created manually. For every new feature, your content team has to figure out what’s new, screen record the product, and edit the video with motion graphics and animations.\n\nThe result is a permanent backlog. By the time content is ready, the product has already moved on.\n\nTools like Loom and Screen Studio help you move faster, but only by compromising on quality.\n\n**🟢 The Solution**\n\nInstead of manually producing every video, let Clueso Agents ([**clueso.io/agents**](http://clueso.io/agents)) handle the entire production pipeline.\n\nHere's how it works:\n\n1. **Connect your product:** Give Clueso login credentials to your product or connect with GitHub, and provide one reference video that represents your brand style.\n2. **Every release becomes a trigger:** Clueso understands what changed and creates production plans for new features. It can also identify outdated videos in your existing library.\n3. **Our agent screen-records your product:** It logs into your product, navigates through the workflows, and captures polished screen recordings of the features you want to show. Fully autonomously.\n4. **AI handles the entire edit:** Along with the recordings, Clueso generates the voiceover, beautiful motion graphics, zooms and visual effects, captions, music, and applies your brand style.\n\nYou can also build workflows in Claude with the Clueso MCP, so video creation becomes just another step in your existing automations.\n\n**Why we're building this**\n\nOver the last two years, we built an AI video editor for product videos. Along the way, after working with 1,000+ SaaS companies, we realized editing wasn’t the only bottleneck.\n\nThe hard part was understanding what changed in the product, figuring out what to show in the demo, recording it cleanly, and keeping an entire video library up to date as the product evolved.\n\nWe’ve now replaced our recording extension with a browser agent that captures the recordings for you.\n\nOne customer recently rolled out a complete UI redesign that left nearly 700 videos out of date. With Clueso Agents, they refreshed the entire library in days instead of months.\n\nTo learn more and get started for free, book a demo with us at clueso.io/agents.\n\nWe can’t wait to show you agents in action!",
        "url": "https://www.ycombinator.com/launches/RpD-clueso-agents-ship-product-videos-automatically-whenever-you-ship-features",
        "votes": 15,
        "created_at": "2026-07-22T17:57:25.874Z"
      },
      {
        "id": 95851,
        "title": "Clueso: Product Videos in Minutes with AI",
        "tagline": "Your product ships fast. Your videos should too.",
        "body": "Hey all, we’re [Akash](https://www.linkedin.com/in/theakashanand/), [Prajwal](https://www.linkedin.com/in/prajwalprakash2000/), and [Neel](https://www.linkedin.com/in/neelbalar7/) from Clueso!\n\n**TL;DR:** Introducing Clueso – AI that turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nhttps://youtu.be/OlOVMA06tpA\n\n## 🔴 The Problem\n\nOrganizations today need to produce more videos than ever, for a variety of use cases:\n\n* product demos\n* marketing and feature launches\n* customer onboarding\n* internal training\n* sales enablement\n* product, process, and workflow training\n\n… and so much more.\n\nBut creating these videos is time-consuming and requires specialized skills. And despite all the effort, engagement is usually low.\n\n## 🟢 The Solution\n\nClueso solves this. Our AI turns any rough screen recording, document, or slide deck into a stunning video in minutes.\n\nNo design skills required.\n\n![uploaded image](/media/?type=post&id=95851&key=user_uploads/1159730/9a6519b7-57f7-498c-ba0d-ab1ea1a07e1d)\n\nClueso can **write** your video’s script, add a studio-quality **voiceover**, and auto-generate visual **effects**, transitions, branding, and captions – all while giving you full editing control.\n\nIt can even **translate** your videos into 50+ languages with one click.\n\nWith this launch, we’re also introducing a suite of AI-first tools to **automate** the most time-consuming parts of the video editing process.\n\nWith a single prompt, Clueso can now:\n\n* **break down long recordings** like sales calls, webinars, or internal training calls, into bite-sized, polished videos\n* **generate** entire videos from documents and slide decks\n* **blur out** sensitive customer data from your screen recordings\n* create videos that match your brand or any design from our growing **template** library\n* generate **step-by-step docs** & SOPs from any screen recording\n\nMultiple teams at 1,000+ startups and enterprises already use Clueso for a variety of use cases.\n\nSign up today for free at [clueso.io](http://clueso.io)!",
        "url": "https://www.ycombinator.com/launches/Ovz-clueso-product-videos-in-minutes-with-ai",
        "votes": 176,
        "created_at": "2025-12-01T08:07:54.511Z"
      },
      {
        "id": 76665,
        "title": "Clueso: AI-powered product videos and documentation in minutes",
        "tagline": "Screen recording -> how-to articles crafted by AI and studio-quality videos with AI voiceovers ",
        "body": "### **TL;DR:**\n\n> Clueso helps teams create stunning product documentation in a fraction of the time.  Our tool converts simple screen recordings into comprehensive articles and kickass product videos. \n>\n> Clueso articles are crafted by AI and come with beautiful GIFs. \n>\n> To generate videos, Clueso lets you edit your script and swap your audio-track with a professional, natural-sounding AI voiceover. Videos also come with zoom- in effects, thumbnails, and custom branding – everything you need for a great video without any of the effort.\n\nHi everyone! We are Akash, Prajwal, and Neel, the team behind [Clueso](https://clueso.io/).\n\n## **🔴 The Problem**\n\nHigh quality educational content on products and processes isn’t a nice-to-have: it's a necessity. From knowledge base articles and feature launch videos to internal SOPs and employee training material, there's a constant need for videos and articles in any organization. \n\nBut creating this content is time-consuming and expensive:\n\n* Loom videos require several retakes to get the perfect output and, even so, don’t look professional or engaging enough.\n* If you’ve ever created documentation  for your product, you know how painful it is to capture screenshots and find the right words.\n\nAnd when a guide goes out-of-date, you need to put the same effort all over again!\n\n## **🟢 The Solution**\n\nClueso streamlines your entire workflow to create  product videos and documentation.\n\n**Creating User Guides**\n\nSimply capture a screen recording while talking through any feature or flow on your product. Clueso instantly gives you:\n\n* **Step-by-step articles:** Clueso snaps GIFs/screenshots, and AI drafts your guide automatically. No matter who captures the process, get a uniform tone across all articles. \\[[Check out a Clueso-generated article](https://www.clueso.io/features/help-articles)\\]\n\n  ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/1bc55859-9389-4b24-a054-db1efba881ed)\n\n* **Engaging studio-quality videos:** Update transcripts on-the-fly, and regenerate your video instantly with natural-sounding AI voices. Incorporate zooming-in effects and branded intro, outro, and background elements at a single click. \\[[Watch a Clueso-generated video](https://www.clueso.io/features/video-tutorials)\\]\n\n  ![uploaded image](/media/?type=post&id=76665&key=user_uploads/1156693/67d98602-2210-4f26-a668-13abd2ecd5cf)\n\n\n**Updating Content**\n\nWhen your product or process changes, simply re-record the updated flow and Clueso magically updates all related documentation. Don’t worry about swapping screenshots or explaining the same terms again. \n\n**Use Content Anywhere**\n\nContent created using Clueso can be exported anywhere or hosted on a Clueso powered help center or team workspaces.\n\n## **Our customers use us for creating…**\n\n1. how-to guides and videos for knowledge base\n2. SOPs for internal team training \n3. onboarding videos\n4. feature launch videos for landing pages and social media\n5. and sharing guides for ad-hoc customer queries\n\nBasically, anywhere you need videos or articles: Clueso has got your back.\n\n## **Our quick asks**\n\n* [Book a demo](https://calendly.com/clueso_intro/neel) with us if you want to learn more about Clueso and use it for creating product documentation, videos or a help center.\n* Refer us to anyone you know who’s on the lookout for a solution to improve their customer education or internal team training. Our inbox is always open [founders@clueso.io.](mailto:founders@clueso.io)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/clueso) or [Twitter](https://twitter.com/_Clueso) for new product updates and customer education best practices.",
        "url": "https://www.ycombinator.com/launches/JwX-clueso-ai-powered-product-videos-and-documentation-in-minutes",
        "votes": 203,
        "created_at": "2023-12-05T06:46:46.430Z"
      },
      {
        "id": 70052,
        "title": "🚀 Clueso : Create in-app tours that never go out-of-date",
        "tagline": "One screen recording → Help guides in three formats!",
        "body": "Hey there! We’re [Prajwal](https://www.linkedin.com/in/prajwalprakash2000), [Neel](https://www.linkedin.com/in/neelbalar7/), and [Akash](https://www.linkedin.com/in/theakashanand), and we are very excited to launch [Clueso](https://clueso.io) to all of you!\n\n**TL;DR:** Clueso helps customer success teams save time creating and maintaining help content for SaaS apps. Our product converts simple screen recordings of product features into interactive product tours and how-to guides that stay up-to-date with every product release. \n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/adc0642c-6d2c-44cd-b4e3-7e18691a78fe)\n\n### [**🔴**](https://emojipedia.org/large-red-circle/) **The Problem**\n\nUsers of SaaS apps have a hard time discovering new features and finding what they’re looking for, even on products with a well-designed UX.\n\nCreating help guides on tools like Intercom is time-consuming – you have to put together screenshots, write out instructions, and make everything look presentable. Making interactive tours is even more work.\n\nAnd what happens when you deploy new UI updates? All your hard work goes down the drain, and you have to start from scratch.\n\n### [**🟢**](https://emojipedia.org/large-green-circle/) **Our Solution**\n\nClueso lets you create help guides for product features in seconds rather than hours. Here’s how it works:\n\n**Step 1:** \n\nUse our chrome extension to capture a simple screen recording of some feature on your app. \n\n**Step 2:**\n\nThat’s it; you’re done! \n\nClueso automatically generates help guides in three formats: a document with screenshots, a video, and an interactive tour that points users to the exact buttons they need to click on your app.\n\n**Wanna see it in action?** Check out this 2-min demo: [Clueso Demo](https://www.loom.com/share/964797a5cf6c4582b5ffb5ccca662abf)\n\nTo serve all these guides to your users, **insert a single line of code** to add our help widget to your app. Your users’ experience looks something like this:\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/182a84cf-6ce7-4f5b-aa2f-695a47b208a8)\n\n### 🤯 **But wait, there’s more!**\n\nNo more waiting for angry customers to come tell you your docs are out of date!\n\nWith every new update on your app, all guides are automatically tested. Outdated guides are flagged so that you know exactly which ones need to be reworked.\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=70052&key=user_uploads/1159730/f606bc26-46b2-4218-af78-465829b49618)\n\nWe’re a team of recent grads from IIT Madras. Before Clueso, our team built and scaled [Desklamp](https://desklamp.io) – a note-taking tool for students and researchers – to 2k MAU from around the world. We experienced this problem first-hand with Desklamp, where our users would repeatedly email us similar questions about how to use the product. Prajwal (middle) has a bachelor’s in Computer Science, while Neel (left) and Akash (right) have a bachelor’s in Engineering Design and a master’s in Data Science. \n\n### **Our Ask**\n\n* If you’d like to give your users an interactive way to learn your app or discover new features, reach out to us at [founders@clueso.io](mailto:founders@clueso.io) or schedule a chat with us here: [calendly link](https://calendly.com/clueso/30min?month=2023-03).\n* If you know of someone else who may be interested, especially customer success managers at seed-stage+ start-ups, we’d love an intro!",
        "url": "https://www.ycombinator.com/launches/IDs-clueso-create-in-app-tours-that-never-go-out-of-date",
        "votes": 191,
        "created_at": "2023-03-08T18:48:43.909Z"
      }
    ]
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  {
    "id": 27983,
    "name": "Retape",
    "slug": "retape",
    "former_names": [
      "Merse",
      "Baselit"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ae3ba43742d4dcd5a5ed43d8813d3cab2253bd1f.png",
    "website": "https://www.retape.ai/",
    "all_locations": "Bengaluru, KA, India; Remote",
    "long_description": "We're building an AI Operating System for DSCs. This includes a set of AI agents that can work together to complete a workflow end to end.",
    "one_liner": "AI Operating System for Debt Settlement",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1673428509,
    "tags": [
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      "SaaS",
      "Finance",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
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      "Sales"
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    "regions": [
      "India",
      "South Asia",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/retape",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/retape.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/retape/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 1160692,
        "full_name": "Sahil Singla",
        "title": "Founder",
        "founder_bio": "Ex-Apple, Salesforce | BITS Pilani 2020 CS grad",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sahilsingla98",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae8eef41d07ee4a1a99c73d2757cba815b049019.jpg"
      },
      {
        "user_id": 1159213,
        "full_name": "Ankit Goyal",
        "title": "Founder",
        "founder_bio": "IIT Bombay 2020 CSE graduate, previously worked at HFT firm Quadeye.",
        "is_active": true,
        "linkedin_url": "https://in.linkedin.com/in/ankit-goyal-0bb2a1134",
        "x_url": "",
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      },
      {
        "user_id": 996541,
        "full_name": "Shubham Rana",
        "title": "Founder",
        "founder_bio": "CPO @ Baselit.\nIISc Physics '20. IIMK MBA '23.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rana-shubham/",
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    "id": 27984,
    "name": "Sirdab",
    "slug": "sirdab",
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    "website": "https://sirdab.co/en",
    "all_locations": "Riyadh, Riyadh Province, Saudi Arabia",
    "long_description": "Sirdab is a tech-ops focused startup offering cloud warehousing and transportation / logistics solutions. We have built an end-to-end logistics platform that allows businesses to acquire dry, ambient, chilled and frozen warehousing space within 48 hours as well as manage, optimize and distribute inventory via a single platform.",
    "one_liner": "Cloud warehousing & supply chain platform in MENA",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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      "Warehouse Management Tech",
      "B2B",
      "Logistics"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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      "Supply Chain and Logistics"
    ],
    "regions": [
      "Saudi Arabia",
      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sirdab",
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    "year_founded": 2022,
    "city": "Riyadh",
    "country": "SA",
    "linkedin_url": "https://www.linkedin.com/company/usesirdab",
    "x_url": "https://mobile.twitter.com/usesirdab",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/sirdab",
    "github_url": "https://github.com/sirdab",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eada3acac55ff8d8af7dff49cd0248aa507d6317.png",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 456006,
        "full_name": "Naif Alzahri",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nayif/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91eac320b364bcedd93b811d613737f6c9341a40.jpg"
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      {
        "user_id": 1151964,
        "full_name": "Abdulrahman Alnamlah",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abdulrahman-alnamlah/",
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    ],
    "jobs": [
      {
        "id": 61142,
        "title": "Operations Manager ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/GhCW6uL-operations-manager",
        "location": "SA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 61143,
        "title": "Fullstack Software Engineer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/akz5rRe-fullstack-software-engineer",
        "location": "SA / Remote (EG)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Ruby",
          "Ruby on Rails"
        ]
      },
      {
        "id": 61144,
        "title": "Business Development Specialist",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/Fl3AelN-business-development-specialist",
        "location": "SA",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      },
      {
        "id": 61147,
        "title": "Product Design ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/4IEpJgf-product-design",
        "location": "SA / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
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        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 61999,
        "title": "Sr. Frontend Engineer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/RaVdXYw-sr-frontend-engineer",
        "location": "Riyadh, Riyadh Province, SA / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Frontend",
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 62158,
        "title": "Sr. Mobile Developer",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/pEZRFiY-sr-mobile-developer",
        "location": "Riyadh, Riyadh Province, SA / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "iOS",
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 66264,
        "title": "Marketing Specialist / Intern ",
        "url": "https://www.ycombinator.com/companies/sirdab/jobs/kkBqgjK-marketing-specialist-intern",
        "location": "Remote (Riyadh, Riyadh Province, SA)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 70086,
        "title": "Sirdab - Cloud warehousing & transportation services in MENA",
        "tagline": "The smartest way to store, manage, optimize, and distribute inventory in MENA",
        "body": "**👋 Hi everyone, we are Naif & Abdulrahman from Sirdab.**\n\n**TL;DR:** Sirdab makes it easy for businesses to acquire dry, ambient, chilled and frozen warehousing space and hire fleets to move inventory through a single dashboard. Today, we manage over 50 warehouses, totaling 400k square meters of space, in 8 cities in Saudi Arabia. \n\n**❌ Problem – Storing and moving inventory in MENA is challenging**  \n\n**1\\. Difficulty in finding suitable solutions:** The conventional approach for businesses is to rent, equip, and operate their own warehouses. The available options are often difficult to discover online and frequently surpass the actual space needs for the business, resulting in underutilized facilities. On the other hand, businesses seeking third-party logistics (3PL) services face a similar challenge in locating a reliable and trustworthy partner.\n\n**2\\. Lack of short-term options:** Regardless of whether a business opts to rent its own warehouse or utilize a third-party logistics provider, it will likely be bound by long-term agreements with limited flexibility.\n\n**3\\. Inefficient inventory management:** As businesses grow, managing inventory across multiple locations becomes increasingly complex and inefficient. Unfortunately, many businesses still resort to using spreadsheet-based methods to manage inventory, lacking a clear record of their inbound and outbound transactions.\n\n**4\\. Challenges in inventory distribution:** For both wholesale and store distribution in Saudi, businesses often face the dilemma of either committing to lengthy contracts or operating their own fleets with subpar utilization efficiency.\n\n**✨ Solution – Hassle-free cloud warehousing & transportation through one platform 🚛**\n\n**1\\. Variety of warehousing space options:** Quickly find and secure dry, ambient, chilled and frozen warehousing space across 8 cities in MENA within 48 hours, for any space you need, starting with 10 square meters.\n\n**2\\. Flexible short-term contracts:** Whether you need the space for a month or a year, we got you covered. Our contracts include options for month-to-month, 6-month, and 12-month durations.\n\n**3\\. Streamlined inventory management:** Have a 360-degree view on your inventory list, track all historical movements, analyze consumption and get notified on shortages. \n\n**4\\. Wide-ranging transportation offerings:** Access a range of FTL, LTL freight offerings as well as parcel and last-mile carriers for store distribution. \n\n![uploaded image](/media/?type=post&id=70086&key=user_uploads/456006/6865d6e7-e9e0-425f-8a92-a473933dbaea)\n\n**💵 Bottom line impact based on traction:** \n\n**Warehousing cost for merchants:** Based on 80+ active clients, Sirdab customers see an average reduction in warehousing costs by 27%. \n\n**Transportation for merchants:** Aside from enhancing delivery times & quality, Sirdab customers have experienced an average decrease in their bulk and last-mile transportation expenses by 12%.\n\n**Warehousing operations for partners:** Along with boosting income and maximizing use of space, our partners are able to streamline their operations, monitor the time needed for order preparation, and have automated billing processes. \n\n**🤝 Quick Ask**\n\n* Spread the word!\n* Follow our journey on [LinkedIn](https://www.linkedin.com/company/usesirdab/) & [Twitter](https://twitter.com/usesirdab?lang=en)\n* If you currently work with a 3PL in the region, or need warehousing space, we would love to chat with you or the appropriate person at your company. Email us at [naif@sirdab.co](mailto:naif@sirdab.co) / [abdulrahman@sirdab.co](mailto:abdulrahman@sirdab.co)",
        "url": "https://www.ycombinator.com/launches/IEQ-sirdab-cloud-warehousing-transportation-services-in-mena",
        "votes": 42,
        "created_at": "2023-03-09T07:32:22.536Z"
      }
    ]
  },
  {
    "id": 27987,
    "name": "Shekel Mobility",
    "slug": "shekel-mobility",
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      "Shekel Mobility Limited"
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    "website": "https://www.shekelmobility.com/",
    "all_locations": "Lagos, LA, Nigeria; San Francisco, CA, USA",
    "long_description": "Our platform helps car dealers find, finance and sell more cars in the $30B African used Car market.\r\n\r\nWe are building the largest auto dealership ecosystem ; powering $10Bn transactions annually\r\n\r\n",
    "one_liner": "B2B marketplace for Auto Dealers in Africa",
    "team_size": 18,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1670346791,
    "tags": [
      "Fintech",
      "B2B",
      "Neobank"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "Nigeria",
      "United States of America",
      "Africa",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": [
      {
        "question": "Describe what your company does in 50 characters or less.\n",
        "answer": "Neobank and Trading platform for car dealerships"
      },
      {
        "question": "How long have each of you been working on this? How much of that has been full-time? Please explain.\n",
        "answer": "Over 20 months now, First 15 months was part time but we are all full time now."
      }
    ],
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/shekel-mobility",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/shekel-mobility.json",
    "year_founded": 2022,
    "city": "Lagos",
    "country": "NG",
    "linkedin_url": "https://www.linkedin.com/company/76083486/admin/",
    "x_url": "https://twitter.com/ShekelMobility",
    "fb_url": "https://www.facebook.com/profile.php?id=100086445672632",
    "cb_url": "https://www.crunchbase.com/organization/shekel",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/317b78e8b020f4585c1d370268635374dbd5c4a4.png",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 910214,
        "full_name": "Benjamen Oladokun",
        "title": "Founder",
        "founder_bio": "Benjamen is Founder of Shekel Mobility.                                                                                                                        \nBen founded his first successful business at 17 and has since led teams to launch products that have impacted the mobility sector in SSA and generated several million of dollars. An experienced growth hacker and an experienced entrepreneur. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/benjamen-oladokun-74b19676",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/837dbf5a72f21d1ff084e6c29230553165c6be72.jpg"
      },
      {
        "user_id": 1006099,
        "full_name": "Valentine Mayaki",
        "title": "Founder",
        "founder_bio": "A rockstar engineer who has over 10 years of experience and has built scalable application for various sectors especially fintech. He has worked for companies like Nextravel, Andela etc.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/valentine-mayaki",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff26dced8551b1f55bb90a718223d7f4205759d5.jpg"
      },
      {
        "user_id": 1015101,
        "full_name": "Sanmi Olukanmi",
        "title": "Founder",
        "founder_bio": "Sanmi is an experienced mobility entrepreneur and the\nco-founder and Chief Executive Officer at Shekel.\nOver the last 10 years, Sanmi has founded and exited\nenterprises with an average USD 900K ARR in the\nautomotive industry overseeing sourcing, business\nStrategy and growth.\nSanmi studied Engineering Physics at Obafemi Awolowo\nUniversity.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sanmi-olukanmi-25878837",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d28845a09e97e761a4a6230df997f2d0f1c4498.jpg"
      }
    ],
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    "news": [
      {
        "title": "Shekel Mobility, a B2B marketplace for auto dealers in Africa, raises $7M led by Ventures Platform and MaC VC | TechCrunch",
        "url": "https://techcrunch.com/2023/11/13/shekel-mobility-a-b2b-marketplace-for-auto-dealers-in-africa-raises-7m-led-by-ventures-platform-and-mac-vc/",
        "date": "Nov 13, 2023"
      },
      {
        "title": "Meet Shekel Mobility, the fintech powering car dealerships in Africa. | TechCabal",
        "url": "https://techcabal.com/2023/02/13/meet-shekel-mobility-the-fintech-powering-car-dealerships-in-africa/",
        "date": "Feb 13, 2023"
      },
      {
        "title": "Shekel Mobility raises $1.95m for expansion - AIM Group",
        "url": "https://aimgroup.com/2023/02/09/shekel-mobility-raises-1-95m-for-expansion/",
        "date": "Feb 09, 2023"
      },
      {
        "title": "Shekel Mobility, the neobank and trading platform for car dealers in Africa",
        "url": "https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjm6tucg4n9AhWkXvEDHYsXCLgQFnoECCUQAQ&url=https%3A%2F%2Ftechcabal.com%2F2023%2F01%2F30%2Fshekel-mobility-the-neobank-and-trading-platform-for-car-dealers-in-africa%2F&usg=AOvVaw2Eq-WyFykSHZ9Scah4SKDI",
        "date": "Jan 30, 2023"
      },
      {
        "title": "Shekel Mobility, a Nigerian mobility fintech startup, raises $1.95 million in pre-seed funding. - Tech In Africa",
        "url": "https://www.techinafrica.com/shekel-mobility-a-nigerian-mobility-fintech-startup-raises-1-95-million-in-pre-seed-funding/",
        "date": "Jan 25, 2023"
      }
    ],
    "launches": [
      {
        "id": 67732,
        "title": "Shekel Mobility , the neobank and trading platform for car dealers in Africa",
        "tagline": "Meet Shekel Mobility, A platform that offers a simpler, smarter and faster way to launch and grow your car dealership locally or virtually.",
        "body": "Hello Everyone,\n\nMeet, [Shekel Mobility](https://shekelmobility.com), a simplified financing & operating system for car dealers in Africa, founded by [Benjamen](https://www.linkedin.com/in/benjamen-oladokun-74b19676/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABALcasBdPDh2pm1VadGzbDN4-_Dg8_xSaoypark-stipop/), [Sanmi](https://www.linkedin.com/in/sanmi-olukanmi-25878837/) and [Valentine](https://www.linkedin.com/in/valentine-mayaki/). We share over 15 years of friendship, mobility and technology background and remain committed to a common vision to drive business optimisation for every car dealer in Africa.\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/2cb5be47-a58b-43a8-b247-0928741b7654)\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/227bf16b-d243-4191-bca7-8d7010a8f7a6)\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/071f0309-8a9c-4dca-8bcf-4df2129e6685)\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/2765a61d-9959-40f8-bc15-87aec13bf1ce)\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/236796e3-b7bf-487e-a1fb-b773c26845e2)\n\n**Shekel Mobility dealers have been able to triple their sales by growing their inventory through access to our affordable finance.**\n\nWe are happy to engage strategic partners on this ambitious but exciting journey of building the largest Auto dealership ecosystem powering $10Billion dollars by the year 2025.\n\n![uploaded image](/media/?type=post&id=67732&key=user_uploads/910214/c234e2a6-2df2-4265-a3c5-ef60d6ae2d88)\n\nRegards.",
        "url": "https://www.ycombinator.com/launches/HcS-shekel-mobility-the-neobank-and-trading-platform-for-car-dealers-in-africa",
        "votes": 22,
        "created_at": "2022-12-06T17:50:53.661Z"
      }
    ]
  },
  {
    "id": 27991,
    "name": "Coldreach",
    "slug": "coldreach",
    "former_names": [
      "EasyJobs Inc.",
      "EasyJobs"
    ],
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    "website": "https://coldreach.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Coldreach helps sales teams find ready-to-buy leads, by monitoring public signals *custom* to your product. \r\n\r\nFor example, it can find who's hiring their first accountant, so an accounting automation product can hit them with a targeted message at the right time. \r\n\r\nPublic data sources (job postings, news articles, 10-k reports, etc.) tell a lot about a company’s priorities and the problems it faces. We train AI sales agents to monitor them and find who needs your help and why. Sales teams know who'd thank them for a cold email/call now, and can sound relevant without hrs of manual research. \r\n\r\nTypically, targeted outreach yields 2-8x higher booking rate compared to random outreach.\r\n\r\n\r\n**Example intent signals we track**:\r\n- Bookkeeping automation product: Monitor who starts to hire human to manually enter invoices\r\n- Compliance product: Monitor who recently onboarded a new Compliance Analyst\r\n- CRM integrations: Monitor who starts to hire engineers experienced in Salesforce API.",
    "one_liner": "Find the best leads with custom intent signals",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1677033188,
    "tags": [
      "Generative AI",
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "The founders know each other since day 1 in college and collaborated on multiple projects. They built another startup around LLMs called EasyJobs together driving MAU to 20K in one and a half year. During that, they had extensive experience with NLP and outbound sales. Having written over 1000 personalized sales emails themselves, the founders know personalization is key to conversion, but takes too much time to be scalable. Thus, they decided to build Coldreach to generate personalized sales emails at scale."
      }
    ],
    "url": "https://www.ycombinator.com/companies/coldreach",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/coldreach.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/coldreach/",
    "x_url": "",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/01cfd7370853173c26a810e2aec87fd55f289393.png",
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    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 984968,
        "full_name": "Xiaohan Shen",
        "title": "Founder",
        "founder_bio": "Outbound nerd. Founder of Coldreach and EasyJobs. \n\nI built up a working outbound machine from scratch for 2 of my startups, and helped 50+ sales teams book meetings consistently from outbound. \n\nIf you want to chat about outbound, sales tactics, or startups, feel free to grab a time: https://calendly.com/shen-xiaohan/30min",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xiaohan-shen1/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/853aa2385135d24da13f80d75953010c0b03c895.jpg"
      },
      {
        "user_id": 1165112,
        "full_name": "Hankel Bao",
        "title": "Founder",
        "founder_bio": "Hankel is the CTO of Coldreach and ex-CTO of EasyJobs. He has extensive experiences in NLP and abstractions.\n\nHankel is enthusiastic in beautiful solution to hard problems. He started coding at 9, and developed an operating system in middle school. With that passion, he led the dev team to create the most intelligent solution to job applications at EasyJobs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hankel-bao-0a0149208/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96bae2cbf4893cfbd0b2dec171fba8684e4644c5.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 80525,
        "title": "Coldreach: Find ready-to-buy leads by monitoring custom signals",
        "tagline": "Helping B2B companies find who need their help, before the competition does",
        "body": "_TL;DR - _[_Coldreach_](https://coldreach.ai?utm_source=ycombinator&utm_medium=yc-launch&utm_campaign=YC+launch)_ finds the best leads at the right time by watching public signals, customized to your product. For example, it can find companies hiring their first accountant, so an accounting automation solution can hit them with a targeted message at the right time._\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n[⭐ Get a FREE list of high-intent companies today ⭐](https://airtable.com/app6J50ppnP1E86QV/pagToOMvuy00fPqNt/form)\n\n![uploaded image](/media/?type=post&id=80525&key=user_uploads/89898/02130ffb-d417-489d-99be-c26a38fa520c)\n\nHey everyone! We’re Shen and Hankel. We’re 2x founders who closely helped 40+ outbound sales teams last year. The biggest problem we see SDRs face is they waste >80% of their time spamming people who don’t care. We’re on a mission to change this at Coldreach. \n\n### 🤯 The problem 🤯\n\nB2B outbound is broken: Mass emailing no longer works. Conversion rates are low even with personalization. \n\n**The real problem is you can’t sell to someone who doesn't need help, even with the perfect message in the world.** \n\nMost teams waste >85% of time reaching out to the wrong people and have no time to focus on getting the attention of those who need their product. \n\n### 🟩 Our solution 🟩\n\nPublic data sources (job postings, news articles, 10-k reports, etc.) tell a lot about a company’s priorities and the problems it faces. \n\nLuckily, AI is great at screening through them to find who faces a relevant problem you solve today and why. \n\n**How it works:** \n\n1. Identify relevant signals that indicate buying intent\n2. AI agent starts monitoring the signal in your ICP market, 24/7\n3. Get a list of leads ready to buy today, updated daily\n\n![](https://lh7-us.googleusercontent.com/D4Zk6kyFEf0Xoj3ROgBX_U-2zi-hV4HaSrOaX9Od_CPzsrHXX93-o3RVFwW7xSR5sPOL6PDUY5xMdgQnyVnzj9A6T7PDKtLcfn7k20_dhASZq65BSMHFBPiGg7iq74UeONH2ZVsiy2PbKlg8OpBDjDg)\n\nAllison, ex-Senior SDR at Instawork (1,500+ employees), said:\n\n_“Coldreach found me the best accounts with hiring signals! I had the most qualified demos completed for Q4 out of 80 reps, while making almost the least number of calls, because I went after the right accounts and knew exactly what to say.”_\n\n**Example signals our customers tracked:** \n\n* **AP automation product**: Find companies hiring roles to process accounts payables, currently using Quickbooks\n* **Compliance product**: Find companies that recently onboarded a new Compliance Analyst\n* **CRM integration**: Find companies hiring engineers with experience in Salesforce APIs\n\n### The ask:\n\n* Want to track a public intent signal? We’ll [find you a list of high-intent companies for free.](https://airtable.com/app6J50ppnP1E86QV/pagToOMvuy00fPqNt/form) (first come, first serve)\n* Doing outbound but not sure if there’s a good public intent signal to find your buyers? [Chat with Shen](https://calendly.com/shen-xiaohan/15-minute). It isn’t always obvious!\n* If you know someone who could really use this, we’d love an intro! Please message Shen on [LinkedIn](https://www.linkedin.com/in/xiaohan-shen1/) or [shen@coldreach.ai](mailto:shen@coldreach.ai). Referral discount available.",
        "url": "https://www.ycombinator.com/launches/Kwn-coldreach-find-ready-to-buy-leads-by-monitoring-custom-signals",
        "votes": 100,
        "created_at": "2024-04-30T17:28:47.566Z"
      },
      {
        "id": 73239,
        "title": "🦾 Coldreach - Personalized prospecting at scale, tailored to your needs",
        "tagline": "Generate 2-5x more pipelines by researching your prospects and personalizing every cold email auto-magically, exactly in the way you need. ",
        "body": "### **Tl;dr**\n\nWe make it easy for sales reps to reach many more **qualified** **prospects**, without sacrificing **hyper-personalization**. A prospecting bot conducts prospect research on aspects sales reps care about and personalizes emails in the way they need. \n\nHey everyone! We are Shen and Hankel aka the team behind Coldreach.\n\n![](https://lh5.googleusercontent.com/MjyaZpGvltrsSs0ixus0dl1Yj4Kp6crAFBOh45wmdj941cuhaMYAck8PMAbQqtVXNhHIo-1JpJtSMmII4dvrqsCH8l4_tlLzye-qwKdrF1HhonZ1RNCvshyOtxmYuHMUrNxfu6sSDJ4XZHubmrL6kJg)\n\n### **👪 Who is it for**\n\nAre your sales reps:\n\n\\- spending a lot of time on **prospect research** and **personalizing emails** \n\nOR \n\n\\- not spending enough time on that? \n\nThen Coldreach is for your team. \n\n### **🧨 The Problem**\n\nSales reps face a dilemma today: **quality vs. quantity**. \n\nTake our friend Sam as an example. He is an SDR at a B2B company. He researches prospects thoroughly and personalizes every message. As a result, he gets a great reply rate, but he spends so much time on every prospect that he couldn’t reach out to a lot of people. To generate more pipelines, Sam tries to “spray and pray” a little bit - he created a sequence of templated emails and added 300 leads onto it, but got zero conversion. \n\nReps like Sam are forced to find a **balance between quantity and quality**, which often distinguishes the best-performing reps from the rest. \n\n### **💡 Our solution**\n\nWe automate prospect research and email personalization, allowing sales reps to have the best of both worlds and reach many more prospects with hyper-personalization. \n\nNo one knows better than your sales team how to prospect effectively, and certainly not an AI. So we allow you to **customize your own prospecting bot**:\n\nSpecify what you’re looking for in prospects or accounts.\n\n![](https://lh3.googleusercontent.com/NkZhfTa8P0rYV-iogDy5FIJJQdIcMGp-wUusr1lL8QkXmmnG7gU6DW1j0g2u89px2USJMkZ6ZAhUhuU7oW9yZvWZ1YCI9mXTxZZscFRKyoTTurSLgxPawPC9BQ5MovBcahANSae9Xzd1I1z_t2gN3f0)\n\nOur AI answers your questions based on real-time data from different sources. \n\n![](https://lh5.googleusercontent.com/IT1A9FDcMDNJNqMaEI0JzyBr0RAm25mI6yMFjnRn2NBpbWKSDEOoLB_FViN3ZcwM0JuuFBjeTIeyzcCM9z3Izq6IL2wTrY6HuhdM1Qp_0u4kXpdrFeKZnZWmtxxy0v13er_GG0YvXjDF3Z_GvEt5TyM)\n\nImport your prospect list, research prospects and quickly qualify/disqualify. \n\n![](https://lh4.googleusercontent.com/ORhMQ6kPxSM8DznlwDez-y1vHz4DzH1WrV-kuup7RusjHUDFlhtvFmzdS4-ND9W2QMmuOC3ZYQ9744ltrwDeBC8NkE5nbEPKQDMGNx7hVnvLdbe_FmvIUQvI2nyQ0Ct0fz8jgVID912S8IqA-qZ9tXk)\n\nEasily customize how you want your emails to be personalized. In one click, generate hundreds of personalized emails based on research and start your sequence. \n\n![](https://lh4.googleusercontent.com/DRGM8Z19PxQZ7KqfBfsR3hTbl1MMb4YFMJMz2hYMl2v0AkYQ21iRDJyuXSjXkEEgzgkd3egUrkg8a3nIoZbYsvhscu-E3cB8dQO1LIcfZzmOjon0Cj64-VPujirI2MK8AXKId82vvbbztdskt2uEFm4)\n\n### **🙏🏻 Our Ask**\n\nWanna try it out? Fill out this [form](https://airtable.com/shrXtHfPE8dHfSIQG) (\\~1 min) and we will be in touch! \n\nConnect us to sales leaders in your network: Connect with [Shen on LinkedIn](https://www.linkedin.com/in/xiaohan-shen1/) or drop a line to [shen@coldreach.ai](mailto:shen@coldreach.ai) - We love intros!\n\nInvestors: please reach out to [shen@coldreach.ai](mailto:shen@coldreach.ai)!",
        "url": "https://www.ycombinator.com/launches/J3H-coldreach-personalized-prospecting-at-scale-tailored-to-your-needs",
        "votes": 52,
        "created_at": "2023-07-19T19:41:50.168Z"
      },
      {
        "id": 70656,
        "title": "✍️ Coldreach: Automate sales email personalization for 10x conversions",
        "tagline": "We make every email to your prospects personalized auto-magically, so you get more meetings booked and deals closed. ",
        "body": "**Tl;dr**\n\nSales reps can teach AI how to personalize sales emails **the way they want** in 5 minutes, and our AI writes and sends personalized emails for every prospect on autopilot, resulting in both higher conversion and much more emails sent per day. \n\nHi! We are Shen and Hankel - the team behind Coldreach.\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/3a9fe46c-225e-4641-8432-0df8f1287d73)\n\n### **👪 Who is it for**\n\nIs your sales team:\n\n\\- spending a lot of time writing sales emails? \n\n\\- running templated email sequences that few people respond to? \n\n\\- struggling to train good SDRs?\n\n\\- finding it hard to write follow-up emails after meetings?\n\nThen Coldreach is for you. \n\n### **🧨 The Problem**\n\nTemplated emails get no attention and land in spam, because so many people are spamming. \n\nPersonalization pays off, but it takes a lot of training to do it well, and takes >5 mins to research and write every email. \n\n# 💡 Our solution\n\n**AI-powered templates** - instead of only replacing names on emails, Coldreach researches the prospect and fill in personalized information intelligently!\n\nFor example:\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/4e5912b7-35ae-4c1d-8c92-d262a0be07b3)\n\n![uploaded image](/media/?type=post&id=70656&key=user_uploads/984968/e06a982b-3c52-4707-ab0d-7466fa9edd20)\n\nFor every template, tweak the email for a few prospects manually, and the AI **learns from your tweaks to write the way you want**! \n\nImport lead list from your favorite engagement platform or CRM easily, and start **sending personalized emails to everyone automatically** using your AI-powered templates. \n\n![](https://lh3.googleusercontent.com/ZjsTytIbwS2ndQ5HDmd-AKq-784e-l0J4yTJaGfohtlppzdDWFRd6hhG8A6UWDnj_EargCGuYoHrK1gQtk7pkJHjHGuONnRFjpoIYIIYpCguSnPjuamUTzcvzRxsMGpFTnwInmR3C-IYpvBFGc7URT4)\n\nColdreach focuses on driving **scalable outbound sales**, but can also be applied on other forms of email interactions with prospects, regardless of inbound/outbound or cold/warm. \n\n# **💪 Why we built Coldreach!**\n\nWe built another startup also around LLMs, during which we wrote over 1,000 personalized sales emails for our outbound, so we know it converts, but hard to do at scale. \n\nThus, we decided to apply our expertise in writing sales emails and LLMs to solve this problem for other B2B companies struggling with it! \n\n# **🙏🏻 Our Ask**\n\nWant to use the product? Please fill out this [form](https://airtable.com/shrXtHfPE8dHfSIQG) (takes <1 min) and we will reach out! \n\nInvestor interested in investing? Please reach out to [shen@coldreach.ai](mailto:shen@coldreach.ai) to book a call!\n\nIf you know sales leaders or senior sales reps who may be interested, drop us a line at [founders@coldreach.ai](mailto:founders@coldreach.ai). We love intros!",
        "url": "https://www.ycombinator.com/launches/INc-coldreach-automate-sales-email-personalization-for-10x-conversions",
        "votes": 67,
        "created_at": "2023-03-30T21:18:18.123Z"
      }
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    "id": 27992,
    "name": "Proglix",
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    "website": "https://proglix.com/",
    "all_locations": "Jakarta, Jakarta, Indonesia",
    "long_description": "Proglix is a marketplace for small and medium manufacturers to buy metal and steel raw materials in Indonesia. With our platform, customers can easily order domestic and import raw materials with cheaper price, no minimum order quantities, 2x faster in SLA and real time inventory stock. \r\n",
    "one_liner": "B2B Marketplace for Steel Raw Materials",
    "team_size": 25,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1671782782,
    "tags": [
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      "Manufacturing",
      "E-commerce"
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    "batch": "Winter 2023",
    "status": "Active",
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    "stage": "Growth",
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    "app_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/proglix.json",
    "year_founded": 2022,
    "city": "Jakarta",
    "country": "ID",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 1166644,
        "full_name": "Wynn Wijaya",
        "title": "Founder",
        "founder_bio": "Wynn was born in Indonesia and have 7 years in B2B sector. He started his small business in 2016 trading electrical components to government project and power plant developer. Moving on in 2019, he expand the business into manufacturing in agriculture commodities and got contracted from local and global oil companies like Wilmar and Cargill. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wynn-wijaya-76a2a8a4/",
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      },
      {
        "user_id": 1170558,
        "full_name": "Prawira Indrawan",
        "title": "Founder",
        "founder_bio": "Software engineer, with 11+ years in software development. CTO of Proglix.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prawira-indrawan-11826a256/",
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      {
        "user_id": 1168404,
        "full_name": "Wendy Wijaya",
        "title": "Founder",
        "founder_bio": "Wendy has built several ventures in Construction distribution and F&B. In 2016, he started a steel distributor company located in Cikarang, Indonesia. 4 years later, he started Joomba, an F&B company that produce & sell smoothies. In 2022, Joomba has 70 outlets across Indonesia and invested by Jiwa Group (one of the biggest F&B company in Indonesia).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wendy-noel-wijaya-b9b6648b/",
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      {
        "id": 68562,
        "title": "Proglix - One stop shop for industrial raw material",
        "tagline": " Raw material procurement in one click",
        "body": "Proglix is a tech-enabled platform that enables SMEs in the infrastructure and industrial sectors to simplify their raw materials procurement. It incorporates technology into SME purchasing behaviour to provide clients with better items, at better costs, and in shorter time frames, as well as extensive online and offline assistance. Proglix offer a variety of raw materials, including industrial steel (structures, plates, and coils), electrical items,  construction materials, and solar system components.\n\n**The Problem**\n\nSME’s in Indonesia usually buy their raw material from traders or wholesalers hence its not reliable in terms of stock availability, delivery time and price. \n\n**Our Solution**\n\nEnd to end procurement solution from stock integration and price updates with multiple manufacturers to customer order taking, tracking, delivery and payment. \n\n**How “procurement in one click” works:**\n\n1. Proglix allows each individual business to BROWSE raw materials categories from various manufacturers specification\n\n   ![uploaded image](/media/?type=post&id=68562&key=user_uploads/1166644/789d2824-4759-4d7e-a11f-ceef74034891)\n\n2. ORDER the raw materials and PAY using cashless payment or financing option\n\n   ![uploaded image](/media/?type=post&id=68562&key=user_uploads/1166644/b44647b1-e3b3-4103-831a-1f14b2657844)\n\n3. Finally DELIVER it directly to their business location.",
        "url": "https://www.ycombinator.com/launches/Hpq-proglix-one-stop-shop-for-industrial-raw-material",
        "votes": 28,
        "created_at": "2023-01-19T23:15:28.001Z"
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    "id": 28007,
    "name": "Milio",
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    "website": "http://www.miliopay.com",
    "all_locations": "Bogotá, Bogota, Colombia",
    "long_description": "Milio is a fully interoperable and immediate payment system for Colombia through a single API connected to millions of accounts. Milio allows companies to perform payable and receivable in real time without ACH rails.\r\n\r\nWe provide our solution through two Plug and Play integrations:\r\n\r\nPID payment button:\r\nEnd-to-end, white label, native, non-redirection payment technology for your customers to pay you account-to-account more efficiently than PSE, without heavy and inefficient ACH cycles and fixed rates.\r\n\r\nTechnology: API, SDK, Checkout UI.\r\n\r\nImmediate disbursement:\r\nSingle API connection to all banks, allowing any company or person to disburse 24/7, in real-time, with immediate crediting of funds to third parties at any bank or digital wallet.\r\n\r\nTechnology: API, Dashboard UI.",
    "one_liner": "B2B-2C real-time account to account payments",
    "team_size": 16,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1673542221,
    "tags": [
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      "SaaS",
      "Payments",
      "B2B"
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    "batch": "Winter 2023",
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    "regions": [
      "Colombia",
      "Latin America",
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      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/milio",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/milio.json",
    "year_founded": 2022,
    "city": "Bogotá",
    "country": "CO",
    "linkedin_url": "https://www.linkedin.com/company/miliopay/",
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    "cb_url": "https://www.crunchbase.com/organization/milio-393b",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 627782,
        "full_name": "Toni Riera",
        "title": "Founder",
        "founder_bio": "Operator and investor with 10+ years scaling fintechs and marketplaces across LatAm, Europe, and the US. Co-founder of Milio (YC W23, B2B payments and treasury SaaS). Previously at SumUp (Director Expansion LatAm), Uber (GM Delivery, Andean Region), and BCG (Consultant, Financial Services & GTM). ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/triera/",
        "x_url": "",
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      {
        "user_id": 1159255,
        "full_name": "Daniel Gomez",
        "title": "Founder",
        "founder_bio": "Product Manager and Strategist, UX freak, and Project Manager. Passionate about building digital projects from the ground up across different industries, including Fintech, Mobility and Healthcare. I'm currently building a comprehensive lending and payments infrastructure solution for the B2B commerce in Latin America. When I'm not designing prototypes and workflows, I love skateboarding and spending time at the beach with my daughter.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-gómez-86954a58/",
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      {
        "user_id": 1159270,
        "full_name": "Juan Luis Perez E",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Milio",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/juan-luis-perez-escobar-079869104",
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        "id": 69870,
        "title": "Milio - B2B payments infrastructure for emerging markets",
        "tagline": "Milio is building B2B payments infrastructure for emerging markets, domestic and cross-border, with an embedded B2B-commerce checkout. Real-time and saving up to 80% of transaction costs.",
        "body": "**TL;DR:** Milio is building **B2B payments infrastructure for emerging markets, domestic and cross-border**, and connecting it to legacy ERPs through one single API. Milio's platform allows faster money movements, real-time access to data, and treasury automations through efficient workflows and seamless account-to-account domestic and cross-border payments. Real-time and 80% cheaper.\n\n### **The problem**\n\nIn Latin America, **legacy B2B payments infrastructure** doesn’t allow automated transaction initiation and costs up to 3% through local ACH networks and credit card processing fees. Cross-border payments rails are expensive and inefficient, with up to 5% FX spreads. \n\nIn addition, **no single checkout is built for the B2B-commerce**; and legacy **ERPs are siloed from the payments infrastructure**, involving long treasury workflows and over 20h/week in manual work.\n\n### **Milio’s solution 💡**\n\nMilio enables real-time **B2B account-to-account payments, both domestic and cross-border**, that are **real-time** and save up to 80% of transactions cost and FX rates. Our API provides an **embedded checkout for B2B-commerce** and connects it to legacy ERPs, enabling automated treasury workflows that save our customers over 10h per week in manual work.\n\nOur customers can now access affordable money movements, real-time data, and a **unique B2B checkout experience** that increases conversion rate by 2x. \n\n### **How does Milio work? ✅**\n\nMilio is building an account-to-account payments infrastructure across all of Latin America, both domestic and cross-border, that enables real-time payments (T+0) and the best B2B checkout experience. Our customers can automate how they pay, get paid, and reconcile their ledger, saving up to 80% in transaction costs and over 10h per week in manual work.\n\nThey can also offer the best checkout experience to their business customers by enabling account-to-account one-click real-time payments at checkout, designed explicitly for B2B transactions, increasing conversion rates by 2x.\n\n![uploaded image](/media/?type=post&id=69870&key=user_uploads/627782/948bba8a-dbe6-4e7e-ac5e-6e4f51024772)\n\n### **Why are we working on this?**\n\nExchanging money and accessing premium financial services for local enterprises in LatAm is a nightmare. This is experienced every day by business owners across the region, including the co-founders who have spent time working for large payment fintechs and owning SMBs across the region. We firmly believe that helping those local enterprises and entrepreneurs ­means helping any economy to thrive and grow to its maximum potential. We are committed to solving this problem.  **💥** **Milio was the first Milio client! 💥**\n\n![uploaded image](/media/?type=post&id=69870&key=user_uploads/627782/5c6ed840-bc0b-4fa3-a0fe-b7986a0056fd)\n\n### **Our ask 🙏🏻**\n\n* **Please contact us at**: [founders@miliopay.com](mailto:founders@miliopay.com)",
        "url": "https://www.ycombinator.com/launches/IAw-milio-b2b-payments-infrastructure-for-emerging-markets",
        "votes": 390,
        "created_at": "2023-03-02T15:10:58.102Z"
      }
    ]
  },
  {
    "id": 28045,
    "name": "Peeba",
    "slug": "peeba",
    "former_names": [
      "Kingmaker Limited"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1201a58c5de47a287ab4ea6a262a2598a1e6f3af.png",
    "website": "http://peeba.com/",
    "all_locations": "Jakarta, Jakarta, Indonesia",
    "long_description": "Peeba is a one-stop B2B wholesale marketplace that is changing the way retailers across Asia purchase inventory. We’ve streamlined the buying process, making it easier than ever for independent retailers to buy top-selling products from unique brands for their stores.",
    "one_liner": "Risk-free wholesale for retailers across Southeast Asia",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1674343263,
    "tags": [
      "Fintech",
      "Marketplace",
      "B2B",
      "Retail"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
    "industries": [
      "B2B"
    ],
    "regions": [
      "Indonesia",
      "Southeast Asia",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/peeba",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/peeba.json",
    "year_founded": 2020,
    "city": "Jakarta",
    "country": "ID",
    "linkedin_url": "https://www.linkedin.com/company/peeba",
    "x_url": "https://twitter.com/Peeba_official",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/Peeba",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1201a58c5de47a287ab4ea6a262a2598a1e6f3af.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1119720,
        "full_name": "Jacky Lai",
        "title": "Founder",
        "founder_bio": "Founder and CEO @ Peeba - Before Peeba, I have ran two companies including an e-commerce business where I led the team to grow to over $40mn USD in annual sales. I graduated from Emory University in Atlanta, Georgia. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jackylaihk",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45aef4fd9efa9db471f019d5d1dd0fc5fa318fe7.jpg"
      },
      {
        "user_id": 745223,
        "full_name": "Kevin Cho",
        "title": "Founder",
        "founder_bio": "CEO @ Medifly.ai. ",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/chokevin1",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f80c3b60df41060b26256418cda3f71cb55f6562.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "​​How This Online Marketplace Is Changing The Face Of Cross-Border Commerce In Asia",
        "url": "https://www.forbes.com/sites/tiffanylung/2022/06/02/how-this-online-marketplace-is-changing-the-face-of-cross-border-commerce-in-asia/?sh=68f6473884f9",
        "date": "Jan 17, 2023"
      },
      {
        "title": "Peeba raises $4.2M to digitize Asia’s B2B wholesale market   • TechCrunch",
        "url": "https://techcrunch.com/2022/04/07/peeba-raises-4-2m-to-digitize-asias-b2b-wholesale-market/",
        "date": "Apr 07, 2022"
      }
    ],
    "launches": [
      {
        "id": 69864,
        "title": "🚀 Peeba - Faire for Asia",
        "tagline": "We help retailers in Asia discover and buy inventory online without risk. ",
        "body": "**tl;dr:** Peeba is a B2B wholesale marketplace that simplifies the buying process for retailers in Asia, connecting them with over 2,500 brands from around the world at the best prices, with free returns and 60 days payment terms.\n\n👋 Hello everyone! We are Kevin and Jacky, founders of [Peeba](https://www.peeba.com/).\n\n![](https://lh5.googleusercontent.com/Z8jALKdiHQaXA8YwXCDv9tYOySii1nPFLOWqAkbsav0X8egaQ3d0veCkDIZeYFsl5pvm3G7dUBT1QaQvL6XTOIX29d0_zlx60rkmtdoygpWQrs41aV1vONYLLRjx1yjecZoGL1qyhA5ANhCvG6e0Eac)\n\n**Problems:**\n\nDespite the growth in e-commerce over the last decade, the B2B wholesale industry in Asia that supports and connects retailers with brands languishes in the pre-digital era and lags behind in technology adoption - over 80% of wholesale transactions in Asia are still brokered over phone and physical meetings with sales representatives. Retailers face difficulty discovering relevant new products, it is risky to take on new products and very cumbersome to manage multiple brand/supplier relationships. The same applies for brands - going to trade-shows to entice buyers is expensive and inefficient. This problem is amplified in Asia where people are spread out across different countries, with different languages, different payment methods, different logistics infrastructure and non-transparent pricing creates many layers of challenges for retailers and brands to build relationships. \n\n**Solution:**\n\nPeeba addresses these pain points by providing a one-stop B2B wholesale marketplace that offers retailers in Asia access to thousands of best selling products with flexible buy-now-pay-later options and free returns. Our platform uses machine learning to enable discovery, allowing retailers to streamline their procurement process, automating many of the tedious tasks associated with buying inventory and simplifying cross-border logistics, making it easy for retailers to discover new brands and manage inventory. With our free return policy, retailers can reduce inventory risk and purchase with confidence, helping them to buy inventory that their customers will love. \n\n![uploaded image](/media/?type=post&id=69864&key=user_uploads/1119720/a04b3631-f594-4707-974c-4e2b9a0f72be)\n\n**A bit more about us:**\n\nWe kicked off our journey in mid-2020 and since then, we've been on a mission to make B2B trade simpler, connecting retailers across 13 markets in Asia with over 2,500 brands and growing! The more we dive into the complexities of the industry, the more driven we become to simplify wholesale for everyone involved. Our goal is to empower retailers across Asia to achieve more by revolutionizing the way B2B wholesale trade is done, bringing efficiency and simplicity to the forefront of the industry.\n\n**Ask:**\n\nIf you are a brand looking to expand your wholesale business in Asia, please reach out to us [here](https://peeba.com/brands).\n\nIf you are an investor looking to join our mission, please reach out to us here: [founders@peeba.com](mailto:founders@peeba.com). ",
        "url": "https://www.ycombinator.com/launches/IAq-peeba-faire-for-asia",
        "votes": 167,
        "created_at": "2023-03-02T05:47:09.677Z"
      }
    ]
  },
  {
    "id": 28069,
    "name": "Pylon",
    "slug": "pylon-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/412a6b3ef532664df77532bc5d7ae3c1233de965.png",
    "website": "https://usepylon.com/?utm_source=bookface&utm_medium=referral&utm_campaign=pylon-profile",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pylon is the only agentic support platform, purpose-built for B2B companies. For leaders scaling AI-native support teams, Pylon lets humans and agents collaborate on customer work – investigating, resolving, and acting on every signal across every channel that matters.\r\n\r\nUnlike platforms built before the AI era, Pylon enriches every interaction with deep account-level context, automates the low impact customer work, and surfaces answers before your team even has to ask. The result: faster responses, happier customers, and a system that continuously improves itself.\r\n\r\nHundreds of fast-growing YC companies of all sizes like Retool, Hightouch, and Deel use Pylon to manage their customers.\r\n\r\nLearn more at usepylon.com",
    "one_liner": "The Agentic Support Platform purpose-built for B2B.",
    "team_size": 120,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1676268747,
    "tags": [
      "B2B",
      "Customer Success",
      "Customer Support",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pylon-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/pylon-2.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usepylon/",
    "x_url": "https://twitter.com/usepylon",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/pylon-f27d",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/412a6b3ef532664df77532bc5d7ae3c1233de965.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 356481,
        "full_name": "Advith Chelikani",
        "title": "Founder",
        "founder_bio": "usepylon.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/advith/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de77937ca1dd1d29c9884a78c9aeafd9b0250244.jpg"
      },
      {
        "user_id": 356725,
        "full_name": "Marty Kausas",
        "title": "Founder",
        "founder_bio": "Co-Founder & CEO of Pylon. Started coding in middle school by making websites, fell in love with software through high school robotics, and fell in love with building products through hackathons in college. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/martykausas",
        "x_url": "https://x.com/marty_kausas",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7d36944193033aae796bdf596af68df61eb1cd1.jpg"
      },
      {
        "user_id": 1213481,
        "full_name": "Robert Eng",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/robert-eng/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62d23287918d4e2b22e342d0bd1fb17b76eb1e9d.jpg"
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    ],
    "jobs": [
      {
        "id": 61398,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/JI8K5Du-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $210K",
        "equity_range": "0.12% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
          "GraphQL",
          "React"
        ]
      },
      {
        "id": 77880,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/A6bx1Qy-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77882,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/g3dqOHE-customer-success-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77883,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/LNx6BqV-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77887,
        "title": "Product Support Engineer",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/Vv1Yzit-product-support-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77888,
        "title": "SDR Manager",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/h8uGW8K-sdr-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$215K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77889,
        "title": "Product Manager (Multiple Openings)",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/9QK2mkQ-product-manager-multiple-openings",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77909,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/7O7T8qv-account-executive",
        "location": "San Francisco / New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$250K - $300K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89678,
        "title": "Software Engineer (AI Agents)",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/UF8GkYn-software-engineer-ai-agents",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89679,
        "title": "Software Engineer (AI Infra)",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/lzXS3KK-software-engineer-ai-infra",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89682,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/HyTtyyB-enterprise-account-executive",
        "location": "San Francisco / New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$300K - $350K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89683,
        "title": "Software Engineer, Security",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/SGRczKA-software-engineer-security",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89698,
        "title": "Software Engineer, Security",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/4jOB36N-software-engineer-security",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 89704,
        "title": "Visual Product Designer",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/pHQn2lj-visual-product-designer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Rebuilding Customer Support for the AI Era",
        "url": "https://www.youtube.com/watch?v=XcI5IMLEAaE",
        "date": "Feb 24, 2026"
      },
      {
        "title": "Pylon Raises $31M in Series B Funding",
        "url": "https://www.finsmes.com/2025/08/pylon-raises-31m-in-series-b-funding.html",
        "date": "Aug 22, 2025"
      },
      {
        "title": "Pylon lands $17M investment to build a full service B2B customer service platform | TechCrunch",
        "url": "https://techcrunch.com/2024/08/28/pylon-lands-17m-investment-to-build-a-full-service-b2b-customer-service-platform/",
        "date": "Aug 28, 2024"
      },
      {
        "title": "Pylon wants to make it easier to manage B2B conversations in Slack | TechCrunch",
        "url": "https://techcrunch.com/2023/07/11/pylon-wants-to-make-it-easier-to-manage-b2b-conversations-in-slack/",
        "date": "Jul 11, 2023"
      }
    ],
    "launches": []
  },
  {
    "id": 28070,
    "name": "Clad",
    "slug": "clad",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ab0e3d7b0de12617818a986b541a5e524c146ae.png",
    "website": "https://withclad.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Clad is project management and billing software for infrastructure.\r\n\r\nThe world is rebuilding its internet and power networks. The utilities, internet companies, and contractors tasked with this work face immense pressure to deliver.\r\n\r\nBut their tools haven’t caught up. Contractors struggle to grow, constrained by cashflow. Operators fly blind, lacking real time visibility into issues. \r\n\r\nClad unifies project operations and finance to automate project tracking, payments, and permitting.\r\n\r\nWith Clad, contractors grow faster and improve their margins. Operators execute smoothly. And everyone can focus on what’s most important - building.",
    "one_liner": "Project management software for building infrastructure.",
    "team_size": 7,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
    "launched_at": 1672801770,
    "tags": [
      "Marketplace",
      "SaaS",
      "Construction",
      "B2B",
      "Collaboration"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
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        "title": "Clad Locates: AI for Infrastructure Contractors",
        "tagline": "Clad Locates helps excavators submit and track 811 tickets.",
        "body": "I’m excited to announce our newest product - [**Clad Locates**](https://www.withclad.com/locates/overview)\n\n**Clad Locates is an AI-assisted tool that helps contractors create and manage utility locate requests (811 tickets).** \n\nWe’re live in Alabama right now, and will expand to more states soon.\n\n### The Problem\n\nContractors dig all the time - to place internet cables, upgrade pipes, build fences, and more. \n\nBefore a contractor can begin excavating, they are required to call in a utility locate request. This is to make sure the contractor digs safely - that they won’t hit a gas pipe, for example.\n\n![uploaded image](/media/?type=post&id=93588&key=user_uploads/448610/eb053624-67ff-4b07-8abf-d10ece228cb4)\n\nFor contractors, handling these tickets is critically important, but a pain:\n\n1. Submitting tickets takes a lot of time and distracts project managers from higher value work.\n2. Making sure tickets don’t expire is also necessary, so contractors avoid a ‘down day’ (a day where they can’t work, due to an expired 811 request). \n\nWith 43M tickets submitted last year by tens of thousands of contractors, this is not a small problem.\n\nSo we decided to fix it.\n\n### We’ve made handling locates a breeze for contractors\n\nhttps://youtu.be/Y04NyOXGt2o\n\nWe built Clad Locates to make it fast and easy to submit and track 811 tickets.\n\n1. **AI-driven narratives -** We use AI to eliminate the most time consuming part of submitting a ticket, writing a ‘narrative,’ (to describe the path that a contractor will excavate.\n2. **Bulk Submission -** Clad connects with the state 811 systems to submit tickets automatically, 1 ticket at a time or 15 all at once.\n3. **Automated Tracking -** We get data from the state 811 systems to build an automated automated tracker to monitor when areas are ready to dig, and when tickets will be expiring.\n4. **Expiration Notifications** - To prevent ‘down days,’ Clad notifies contractors when tickets are expiring and need to be renewed. Soon, contractors will be able to renew tickets directly from Clad. \n\n### Join our waitlist and reach out!\n\nReach out to us at jason@withclad.com, or sign up on our [website](https://www.withclad.com/locates/overview) to learn more.",
        "url": "https://www.ycombinator.com/launches/OLU-clad-locates-ai-for-infrastructure-contractors",
        "votes": 11,
        "created_at": "2025-09-04T19:23:52.719Z"
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        "id": 69535,
        "title": "Clad - Software to manage telecom subcontractors",
        "tagline": "We help telecom companies lay fiber faster with software to bid, manage, and pay their construction subcontractors.",
        "body": "> _tl;dr:_ [_Clad_](https://www.withclad.com?utm_source=launch_yc&utm_medium=link_in_post&utm_campaign=022223_launchyc) _is a subcontractor management platform. We help telecom companies construct their networks faster, cheaper, and with fewer costly issues. Clad does this by streamlining everything from bidding through payments, all in one system._ \n\n> _Know anyone who works at a telco or data center?_ [_Reach out_](mailto:jason@withclad.com)_!_\n\n### The Problem\n\nDemand for high speed internet is accelerating, driven by the rise of remote work alongside new public and private investment. As a result, ISPs, data centers, and other operators are rapidly expanding their networks. \n\nTelcos rely on contractors to get this construction done. And with the rapid growth in deployments, there’s more need for them than ever before. As a result, telcos are struggling to find and retain enough high quality contractors, putting budgets and timelines at risk.\n\nIt’s no surprise telcos are having a tough time - the way they work with their subcontractors is broken at every step of construction:\n\n![](https://lh6.googleusercontent.com/T6CNj3VYdBdETF7lwV9IKA95DtBujw8pMwGmLEi3qpbrgmZidTyIJwn-NEh1WiEjORDd6hCEmT7L6cKdGhuDOjE7EcBcb_WOQciZj0f9Fwbc2j6Y-8Abh8TomWsj7ScYzKpt7qyqKi8BZbo_Va3cByQ)\n\n### Enter: Clad\n\nClad is a subcontractor management platform tailor-made for telecom construction. We streamline how telecom companies bid out and qualify subcontractors, track construction progress, and create, approve, and pay invoices too.\n\nOur entire goal is to eliminate the time consuming back-office functions that come from working with subcontractors. \n\nCurious how? Take a look 👇\n\nWith Clad, telcos get out of email and spreadsheets - speeding projects up, saving money, and getting the insights to improve construction over time:\n\n![](https://lh3.googleusercontent.com/ZFyNTkN1ZWfSZ60KsUFm_ibKme0xQLMg600PJ1dR0nF3_sjSrhFZQyCw6jHCP6QOJX85VotA6K2sbE0u-mN6-FlJt-XlcrXmYAiOGXnmP34rvHK8nIoThCUeV6UumCuj3Rh0iGlg-Y4xq-CgTz_Yj7U)\n\n_I’m_ [_Jason_](https://www.linkedin.com/in/jasonrudin/)_, and I started Clad because growing up, I saw first-hand how time consuming and painful it can be to work with subcontractors. When I was younger, my mom worked at a telco. I’d regularly hear stories about projects that were delayed or over budget because of miscommunications or errors with contractors. Last year I met two friends in telco who were complaining about the same problems as my mom. Hearing that, I dug in to learn more, and was shocked to learn that not much had changed in the decades since then. I’m building Clad to change this status quo._\n\n_I’m excited to build Clad because today, it remains too hard to build new things. And with high quality effective tools, we can get more done, faster._\n\n### You can help!\n\n1. **Share this post** - you never know who knows someone in telecom\n2. **Connect** Clad to General Contractors, ISPs, data centers, or anyone else in telecom construction at [jason@withclad.com](mailto:jason@withclad.com)\n\n_Thanks!_",
        "url": "https://www.ycombinator.com/launches/I5X-clad-software-to-manage-telecom-subcontractors",
        "votes": 116,
        "created_at": "2023-02-22T14:42:46.583Z"
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        "date": "May 20, 2025"
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        "url": "https://www.elastic.co/blog/elastic-and-keep-join-forces",
        "date": "May 06, 2025"
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        "url": "https://www.geektime.co.il/keep-raises-seed-from-yc/",
        "date": "Oct 15, 2024"
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        "title": "Keep - Open source alerting CLI",
        "tagline": "Open source alerting CLI for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.",
        "body": "Hey YC 👋, Shahar and Tal here 🚨\n\n![uploaded image](/media/?type=post&id=70094&key=user_uploads/1194329/3ba4c3ed-1965-4bf4-a261-985cecaff39e)\n\nWe are thrilled to share Keep with the YC community today!\n\n[Keep](https://github.com/keephq/keep) is an open-source alerting CLI alternative to Prometheus Alertmanager or Grafana Alerts, but for all observability tools, with a simple and intuitive (GitHub actions-like) syntax.\n\n**😫 Problem**\n\n* Engineering teams are frustrated with the explosion of tools that trigger alerts. On average, engineering teams have more than five tools that generate alerts.\n* Using proprietary vendor alerting/monitoring products locks you into the vendor, making it extremely challenging and time-consuming to migrate at a later stage.\n* Vendors today require you to send/integrate all your data, which is a big overhead when all you want to do is simple alerting.\n\n**🚨 Why Keep?**\n\n1. Simple and intuitive (GitHub actions-like) syntax.\n2. Declarative alerting that easily be managed and versioned in your source control and service repository.\n3. Alerts from multiple data sources for added context and insights.\n4. Freedom from vendor lock-in, making it easier to switch to a different observability tool if and when needed.\n\n💻 **Demo**\n\nPlay with Keep using our [Platform](https://platform.keephq.dev/)\\\n\\\n**🙏 Asks**\n\nTry out Keep and share your feedback on how it can be improved. Here’s our GitHub repo - <https://github.com/keephq/keep>\n\nHave any questions? Join our [Slack community](https://slack.keephq.dev/) and drop us a message",
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        "id": 77810,
        "title": "Revenue Analytics by Swishjam — Connect your product usage data to revenue",
        "tagline": "Pull in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue.",
        "body": "Swishjam’s Revenue Analytics solution pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.\n\n![uploaded image](/media/?type=post&id=77810&key=user_uploads/26873/84e0b9b4-523c-4c42-a7b2-48f85eeb3255)\n\n**How does it work?**\n\nSwishjam connects to your Stripe account, syncs your data, and calculates all of your most important SaaS-related revenue metrics such as MRR, churn rate, revenue retention, and more.\n\nWhen you enable Revenue Analytics in Swishjam, you get:\n\n1\\. **Revenue Analytics Dashboard** - data visualizations of all your key revenue metrics.\n\n2\\. **Automations & Slack Notifications** - because Swishjam is now ingesting your Stripe events as they occur in real-time, you can set up [automations](https://swishjam.com/solutions/automations) to take actions when important revenue-related events occur.\n\n3\\. **Reporting** - Get daily/weekly/monthly reports on your revenue in Slack or by email.\n\n4\\. **User Profiles Tied to Revenue** - we automatically tie user profiles from your product analytics to Stripe data. This lets you build a better picture of your customer without lifting a finger. We also roll up this data to organizations if your app has that type of billing. Coming in version 2 is the ability to predict churn from this data and catch zombie users before they churn to keep more of your hard-earned customers.\n\n**Why is this exciting?**\n\nSure, lots of other apps already have this type of dashboard but **none that we know of can tie this type of information together easily**. Currently, it’s quite painful and most usually a manual process. This is also a big step towards our larger mission of tying your disparate data sources into your product analytics data as a first-party citizen, automatically stitched to your user profiles, and creating a true 360 user profile. What this means is that within Swishjam, you will be able to easily sift, segment, and visualize all of your product analytics data along with your billing data (and other data sources!) to answer questions like:\n\n1\\. Which of my users’ usage is dropping off who are subscribed to the Gold Plan?\n\n2\\. What percent of users on the Free Trial trigger the {your aha moment} event?\n\n3\\. What were the usage patterns for user XYZ leading up to their churn?\n\nInterested in getting access? Drop us a line at [founders@swishjam.com](mailto:founders@swishjam.com) and we’ll get you up and running in a few clicks.",
        "url": "https://www.ycombinator.com/launches/KF0-revenue-analytics-by-swishjam-connect-your-product-usage-data-to-revenue",
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        "created_at": "2024-01-24T15:34:14.849Z"
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        "title": "Swishjam - Open-source suite of page speed optimization tools",
        "tagline": "We help companies measure, monitor, and optimize their page speed to deliver best in class experiences to their users.",
        "body": "Hey all - Collin here, co-founder of Swishjam.\n\n[Swishjam](https://www.swishjam.com) is a suite of [open-source](https://www.github.com/swishjam/swishjam) tools that enables companies to deliver the best experience to their users by providing them with the tools they need to measure, monitor, and optimize their page speed.\n\n**Page speed really, really matters**\n\nPage speed is one of the most important yet overlooked metrics to delivering the best experience to _all_ of your users. A faster page load is directly correlated with higher conversion, better SEO, and lower bounce rates. Amazon reported in 2006 that every additional 100ms in page load resulted in a 1% drop in revenue. Despite that, the page speed tooling is lagging behind, leaving users with more questions than answers.\n\nWe first encountered this problem when working with users in a past role watching them attempt to diagnose performance issues on their site. While page speed was a top priority for them, they often had to use legacy software, and/or hire expensive consultants to triage and resolve them.\n\n**A wholistic solution to measuring, monitoring, and optimizing page speed**\n\nSwishjam helps you identify page speed bottlenecks by capturing key performance metrics your users are receiving on your site. Our dashboards help you make sense of your overall page speed, and provides you with actionable insights and tooling to improve.\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/fba9b8fe-a743-4318-abdd-79efe6954328)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/4bebf3e3-89f4-466d-95db-391c1359feae)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/1319cc5c-129a-4663-b194-61fc999f5da4)\n\n**Want to learn more?**\n\nIf you or someone you know works in eCommerce, digital media, or a related industry where page speed is important KPI, we’d love any intros! You can get in touch with us at [founders@swishjam.com](mailto:founders@swishjam.com).",
        "url": "https://www.ycombinator.com/launches/IN5-swishjam-open-source-suite-of-page-speed-optimization-tools",
        "votes": 35,
        "created_at": "2023-03-29T17:38:10.086Z"
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    "long_description": "Rivet Actors are the primitive for stateful workloads.\r\n\r\nBuilt for AI agents, collaborative apps, and durable execution.\r\n\r\nOpen-source.",
    "one_liner": "Rivet Actors are the primitive for stateful workloads",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Nicholas Kissel",
        "title": "Founder",
        "founder_bio": "Building open-source Cloudflare Workers & Durable Objects. Previously at Paradox.ai & Addicting Games. University of Arizona.",
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        "full_name": "Nathaniel Flurry",
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        "founder_bio": "The actor guy",
        "is_active": true,
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        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/rivet/jobs/08lOGd6-software-engineer",
        "location": "Remote",
        "type": "Full-time",
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        "salary_range": "$80K - $150K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": [
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    "news": [
      {
        "title": "Our favorite startups from YC's Winter 2023 Demo Day — Part 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/04/05/y-combinator-demo-day-favorites-part-one/",
        "date": "Apr 05, 2023"
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      {
        "id": 70240,
        "title": "👾 Rivet - Heroku for multiplayer games",
        "tagline": "Run multiplayer games with managed game servers, matchmaking, and DDoS mitigation.",
        "body": "**TL;DR:** [_Rivet_](https://rivet.gg) makes it easy to run multiplayer games with managed game servers, matchmaking, and DDoS mitigation. Contact us at [_yc@rivet.gg_](mailto:yc@rivet.gg) to get access to the closed beta!\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/e8281ea7-b796-4b7d-83e1-91367747b058)\n\n[**Rivet**](https://rivet.gg) **is trusted by publicly traded companies to indie studios to serve millions of monthly players on our infrastructure.**\n\n**The Team**\n\nIn high school, we procrastinated our homework by building and launching multiplayer games together for fun. We always wanted to make building multiplayer games more accessible, so we started Rivet to do exactly that.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/b4463d5c-b8d6-4fe2-9e89-268db904ebfa)\n\n**Together, we built a small game studio and launched 4 games with one acquisition.**\n\n[Nathan](https://www.linkedin.com/in/nathanflurry/) (right) independently built infrastructure serving over 15M MAU & 20k concurrent players while still in high school on games like [Krunker.io](http://Krunker.io) (acquired by FRVR). He was an Apple WWDC scholar from 2016-2018 and was featured in TechCrunch for his visual programming language.\n\n[Nicholas](https://www.linkedin.com/in/nicholaskissel/) (left) was a PM at the [Paradox.ai](http://Paradox.ai) R&D department to help built AI HR solutions for companies like McDonalds. He continued to work at Addicting Games as a PM on multiple multiplayer games and helped launch [Apes.io](http://Apes.io), a cutting-edge browser-based battle royale.\n\n**The Problem**\n\nModern games need game servers to support large lobbies, anti-cheat, low latency, and mobile platforms. **The need for game servers is growing, but** **studios have to build their own game server infrastructure from scratch.**\n\nTherefore, **studios spend more time building in-house game server infrastructure than adding content** when trying to launch games with game servers. This makes it unreasonably difficult for small to medium-sized studios to launch and maintain these types of games.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/5918c6af-05a5-404b-943a-66c4ccc9c276)\n\n**We make it easy for game developers to run their game servers on **[**Rivet**](https://rivet.gg)**.** We take care of auto-scaling servers, matchmaking, and DDoS mitigation so the developer can focus on adding content. Rivet works with all major game engines and custom server code.\n\n**Integrating Rivet into a game takes 4 lines of code in any language.** We provide no-downtime deploys with easy rollbacks.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/49c025ec-b2b3-4148-8f08-55625dca99a6)\n\nOnce a game is up and running, Rivet provides a sleek dashboard for operating the game and streamlining DevOps. Developers can manage their lobbies, view analytics, rollback versions, diagnose crashes, and manage namespaces.\n\n![uploaded image](/media/?type=post&id=70240&key=user_uploads/1203698/3fe4f55a-dc32-42b0-a444-4de15f618120)\n\nWant to see Rivet in action? Watch our [3-minute crash course](https://www.youtube.com/watch?v=pBE7s-PK0j0)!\n\n**Our Ask**\n\nIf you or a friend is building a multiplayer game – even if it’s a hobby project – we’d love to chat! Contact us at [yc@rivet.gg](mailto:yc@rivet.gg).",
        "url": "https://www.ycombinator.com/launches/IGu-rivet-heroku-for-multiplayer-games",
        "votes": 57,
        "created_at": "2023-03-13T20:31:18.735Z"
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    "name": "Waza",
    "slug": "waza",
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    "website": "https://waza.co/",
    "all_locations": "Lagos, LA, Nigeria",
    "long_description": "Waza is the B2B platform for global payments and emerging market trade. We make it easy and affordable for businesses with no access to USD to fulfil their global payment obligations, treasury and liquidity needs. ",
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    "team_size": 28,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1673373183,
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        "full_name": "Maxwell Obi",
        "title": "Founder",
        "founder_bio": "Maxwell is a 2x founder and experienced FinTech entrepreneur. Before Waza, he served as the Global Head of Business at Sendwave (W12) - which got acquired by Worldremit for $500M. While there he navigated partnerships and regulatory relationships in Africa, Asia and Latin America. Prior to that, he was the Co-founder of Amplify, a Nigeria-based FinTech which got acquired by Carbon in 2019. Maxwell has a background in Software Engineering and holds a Degree in Computer Science.",
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        "full_name": "Emmanuel Igbodudu",
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        "founder_bio": "Emmanuel is a software engineer with strong experience building financial technology products. Betore Waza, he was a senior engineer at Revolut in London helping to build the vaults product. Prior to Revolut he had held leading roles at Fairmoney, Carbon and TeamApt (now Moneypoint)",
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        "url": "https://techcrunch.com/2024/08/19/waza-comes-out-of-stealth-with-8m-to-power-global-trade-for-african-businesses/",
        "date": "Aug 19, 2024"
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    "id": 28091,
    "name": "Hindsight",
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        "full_name": "Ani Gottiparthy",
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      {
        "id": 88481,
        "title": "Hindsight – Competitive Intelligence That’s Actually Intelligent",
        "tagline": "Win more competitive deals with simple AI-powered insights and workflows",
        "body": "Deals are more competitive than ever, and sales teams don’t feel prepared to win. Product marketing teams constantly get hit with questions like:\n\n* “How do we beat \\[competitor\\]?”\n* “Do we have a battlecard for this?”\n* “What’s our answer to \\[new competitor launch\\]?”\n\nTo find answers, teams have to dig through call recordings, piece together competitor research, and hope they’re making the right call.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/b87ca67c-de33-4a14-9dfa-28abc23ce023)\n\n### **The Problem**\n\nCompetitive intelligence today is **broken**:\n\n* **Prioritizing junk data** – Teams spend tons of money on web monitoring tools that flood them with alerts that don't actually matter.\n* **Ignoring the best source of intelligence—actual buyers** – Most marketing teams review **<5%** of calls and talk to **<1%** of lost prospects. That’s not enough to know why deals are really won or lost.\n* **Outdated content** – PMMs spend weeks building battlecards that go stale before they’re used. Sales stops trusting them, and adoption plummets.\n\n### **How Hindsight Fixes This**\n\n<https://youtu.be/vqNqL9ZylVU>\n\nUnlike other CI tools, Hindsight prioritizes competitive insights directly from your buyers AND helps you collect it.\n\n* **Win-Loss at Scale** – AI analyzes 100% of your CRM deals, calls, and emails to uncover decision drivers, identify competitors, and clip key quotes from deals.\n* **Automated Buyer Feedback** – Hindsight runs unbiased debriefs with won and lost prospects to uncover how they really compare you vs. competitors—giving you the data sales teams actually need.\n* **Real-Time Competitive Intelligence** – Hindsight monitors the web and your other sales tools daily to build and maintain battlecards automatically.\n* **Just-in-Time Sales Enablement** – Insights and battlecards are delivered directly in Slack or email so reps always have the right info before their calls. Automatically updated as new insights roll in.\n* And a lot more!\n\n### **Why We’re Building Hindsight**\n\nHey, I’m Ani 👋. I co-founded Hindsight with one of my best friends, Andrew Luo. When I was a PM, I spent too much time **guessing** why we won or lost deals. Our roadmap was shaped by opinions instead of facts, and I struggled to get sales teams aligned with the right messaging.\n\nWe built Hindsight to turn every deal into a learning opportunity and make sure sales, product, and marketing are always aligned on the truth.\n\n### **See Hindsight in Action**\n\nHindsight integrates seamlessly with **Salesforce, HubSpot, Gong, Slack and other popular tools**, so you can capture and act on the right insights instantly.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/be5da5a9-7e57-46d3-b273-13557e270c68)\n\nTeams using Hindsight see competitive win rates increase by up to **15%**.\n\nIf you’re in a competitive industry and want to stop losing winnable deals\n\n**→** [**Get early access**](https://www.usehindsight.com/)",
        "url": "https://www.ycombinator.com/launches/N17-hindsight-competitive-intelligence-that-s-actually-intelligent",
        "votes": 34,
        "created_at": "2025-03-11T17:40:13.824Z"
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    "team_size": 30,
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Danny Sheridan",
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        "full_name": "Zach Kirsch",
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      },
      {
        "title": "Meet the founders of Fern: CEO Danny Sheridan and CTO Deep Singhvi - Bessemer Venture Partners",
        "url": "https://www.bvp.com/news/meet-the-founders-of-fern-ceo-danny-sheridan-and-cto-deep-singhvi",
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      {
        "id": 83851,
        "title": "Fern Docs: Developer-friendly API Docs",
        "tagline": "Build a \"Stripe-level\" docs website powered by OpenAPI",
        "body": "**_TL;DR_** [Fern Docs](https://buildwithfern.com/) is a static site generator for developer-focused companies to build and host their docs site. It’s the answer to the question:\n\n> **How do we make it easy to build a documentation website that looks as good as Stripe’s?**\n\nCheck out [Cohere’s Docs](https://docs.cohere.com/) built with Fern:\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/1012ebb6-ebf7-4c68-a355-c0e48fb3de4e)\n\n![uploaded image](/media/?type=post&id=83851&key=user_uploads/1214945/2af9415a-59a0-4f97-bfa9-7ff954ecf162)\n\n# The Problem\n\n[Stripe.com](http://Stripe.com) is known for having the best documentation in the world. How do you make it easy for anyone to build a Stripe-level API documentation website?\n\n# The Solution\n\nFirst, we broke down Stripe’s Docs to determine why everyone loves them so much. Then, we studied popular documentation tools, including ReadMe, Docusaurus, Redocly, GitBook, Mintlify, and MkDocs. \\\n**We took the best parts of each.**\n\n### Key features\n\n* **Docs-as-code**: version your documentation like you version code. We support Markdown or MDX, so you can use GitHub, VS Code, and all the workflows you’re already familiar with.\n* **Powered by OpenAPI**: upload your OpenAPI Specification (fka Swagger) and get your API Reference auto-generated.\n* **API Playground:** let users try your API without leaving your docs. They can even sign in to auto-populate their API credentials. Time to {200} has never been faster.\n* **SDK Snippets:** demonstrate how to call an API using an SDK. The code snippets are auto-updated as your SDKs evolve.\n* **Professional design:** your docs represent your engineering quality. Match your brand identity, including colors, logos, fonts, and (of course) light & dark modes.\n* **Component library:** UI components that make your docs polished. If you’d prefer, bring your own React components.\n\n# Get a Preview of Your Docs\n\nWant to see what your docs look like in Fern? [**Request a tailored demo**](https://buildwithfern.com/contact?utm_medium=web&utm_source=launch-yc&utm_campaign=fern-docs) and mention “Launch YC.”\n\n# Start Building Self-Service\n\nReady to get started building your docs? Follow the [quickstart guide](https://buildwithfern.com/learn/docs/getting-started/quickstart) to spin up a docs site in under 15 minutes.",
        "url": "https://www.ycombinator.com/launches/LoR-fern-docs-developer-friendly-api-docs",
        "votes": 1266,
        "created_at": "2024-09-08T21:33:56.082Z"
      },
      {
        "id": 69195,
        "title": "Fern - SDKs for your API ⚡",
        "tagline": "Auto-generate your client libraries, API reference, and server code",
        "body": "**TLDR**: Fern generates useful artifacts for your API, like SDKs, docs, and server code. [Star us on GitHub! ⭐](https://github.com/fern-api/fern)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/858d9c67-1fb0-4dc2-8e3b-53c2c1db216f)\n\n_Steve Yazicioglu, Head of Engineering at Candid Health (Series A)_\n\n### **Problem**\n\nWhen building APIs, we spent a lot of our time doing things like:\n\n* Writing types & networking logic on the backend\n* Communicating details of the API endpoints over Slack\n* Re-writing the _same_ types & networking logic on the frontend\n* Re-writing the _same_ types & networking logic in each SDK or client library\n* Re-writing the _same_ information in our docs & Postman Collection\n\nInevitably, these multiple sources of truth get out of sync, causing runtime bugs, wasted hours of debugging, and frustration.\n\n### **Solution**\n\n[Fern](https://www.buildwithfern.com/) productizes schema-first API design. You define the schema of your API (or give us an OpenAPI spec) and we generate:\n\n* **SDKs** in popular programming languages. Our SDKs feel handwritten. They can be used externally for customers or internally for your frontend/microservices.\n* **API docs** that sync to your provider of choice.\n* **Postman Collection** complete with examples of successful and unsuccessful requests\n* **Server-side validation** to make sure that you serve the API you promised.\n\nFern also registers all versions of your API in a registry — no need to ping a coworker over Slack to understand how to consume an API.\n\nWith love [💌](https://emojipedia.org/love-letter/),\\\nTeam Fern 🌿 (Deep, and Danny)\n\n### **Our asks**\n\n* Star us on [GitHub!](https://github.com/fern-api/fern)\n* Read our [blog](https://buildwithfern.substack.com/p/how-candid-sped-up-api-development) about how Candid Health uses Fern\n* Book a demo at [www.buildwithfern.com](http://www.buildwithfern.com)\n\n### **What our users are saying**\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/56c46bce-4a1b-4a2d-9ee2-3d6b09fdf6af)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/73910b0a-164f-47b9-9fb1-60bae68ec410)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2bde4130-4d50-41b1-93dc-99d65387513b)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/2dafe8b2-bc05-4f37-9eaa-a207604186dc)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/f81f7cfa-ec25-4da5-bbcb-4fe1930b84e9)\n\n![uploaded image](/media/?type=post&id=69195&key=user_uploads/1214945/39bc2305-633a-414b-a800-57a959b4dbc0)\n\n",
        "url": "https://www.ycombinator.com/launches/I03-fern-sdks-for-your-api",
        "votes": 58,
        "created_at": "2023-02-10T17:18:52.681Z"
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        "full_name": "Conrad Lilleness",
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    "long_description": "Fabius helps sales leaders understand and improve their reps' performance by analyzing customer calls with AI. Companies like Airbyte and Fermat use us to score every call and identify when a customer hasn’t been properly qualified.\r\n\r\nFabius helps drive decisions within sales, including:\r\n- Disqualify a deal: Reps work on deals that will never close. We identify the deals that won't be successful and make sure reps don't waste time on them.\r\n- Need to strengthen the business case for a deal: We tell managers and reps when a deal has a weak business case and show them how to uncover more business value in the deal.",
    "one_liner": "AI to improve Sales Calls",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1671052963,
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        "full_name": "Neil Madsen",
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        "full_name": "Andy Day",
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        "id": 69385,
        "title": "📈 Fabius - Unlock the power of your sales process and drive urgency to win more deals",
        "tagline": "We score every opportunity against your unique sales process by analyzing call recordings",
        "body": "**_TL;DR_** _- Fabius helps sales leaders take the guesswork out of their sales pipeline by providing visibility into their sales process. For individual reps, we provide just-in-time feedback to reps to help drive urgency and win more deals._\n\nHey everyone, we’re [Neil](https://www.linkedin.com/in/neil-madsen-18a3755b/) and [Andy](https://www.linkedin.com/in/andrewkday/) and we’re thrilled to announce the launch of [Fabius](https://www.fabius.io/).\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/d80ac2d9-d0a3-4448-a5b0-656faa0d255b)\n\n**🫣 The Problem: B2B sales teams are often blind to how their sales process works in practice.**\n\nDespite having a well-defined process (like MEDDPICC), sales reps can often overlook key information, and view deals with rose-colored glasses.\n\nIdentifying pain, driving urgency, and gaining access to power are critical to successful B2B sales - especially in today’s market! Without visibility into their process, sales leaders struggle to make accurate forecasts, identify deals that are off-track, and onboard new reps effectively.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/8ecee57b-d85c-4bb6-819d-d8b0ed4ee007)\n\n**🔎 The Solution:**\n\nFabius uses data from customer intelligence tools like Gong and Chorus to overlay your company's sales methodology with what's happening in the field, leveraging LLMs to extract the ground truth around your opportunities. We score every deal against your company’s tailored sales process so you can replicate what works again and again.\n\n**For sales leaders** - this gives unparalleled visibility into their sales processes, so they can improve their forecasts, help course correct deals which are missing key steps in their methodology, and ramp up sales reps faster.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/5281e3e4-5b22-406b-9b01-ba28f58619c9)\n\n**For individual reps** - they get just-in-time feedback on their sales calls to help them drive urgency and win more deals.\n\n![uploaded image](/media/?type=post&id=69385&key=user_uploads/630080/188dcb5f-5446-4ee1-ae91-b4ef2e5f5f06)\n\nWe believe that Fabius is the best way to take the guesswork out of sales and help sales teams become more efficient and productive. We are excited to get started and look forward to helping B2B sales teams succeed!\n\n**Our Asks!**\n\n1. Sign up for our waitlist by emailing [founders@fabius.io](mailto:founders@fabius.io)!\n2. Share this post with anyone who might need this (think Sales Leaders, CROs, etc)\n3. Chat with us! If this problem / solution space is interesting to you, we’d love to chat. Book time on [our calendar](https://calendly.com/fabiustech/15-mins?month=2023-02)!",
        "url": "https://www.ycombinator.com/launches/I37-fabius-unlock-the-power-of-your-sales-process-and-drive-urgency-to-win-more-deals",
        "votes": 64,
        "created_at": "2023-02-17T01:49:58.651Z"
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    "name": "highlight.io",
    "slug": "highlight-io",
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    "website": "https://www.highlight.io/",
    "all_locations": "Seattle, WA, USA; Remote",
    "long_description": "highlight.io is the open source, full-stack monitoring platform. With just a few lines of code, Highlight makes it easy to understand what's slowing down your users and swiftly address errors and regressions on your web app.  Imagine that you have a customer reporting an issue on your web app. With highlight.io, you can playback their exact interactions to reproduce the bug and get notified of any future errors that could happen.\r\n\r\nThat being said, we’re just getting started! We have plans to go way deeper into your observability stack to give you all of the visibility you need. Join us on this journey:\r\n- Star us on GitHub (https://github.com/highlight/highlight) to keep up with releases and news.\r\n- Join our Discord (https://highlight.io/community) to share product feedback and thoughts.\r\n",
    "one_liner": "The open source, fullstack monitoring platform: stop guessing why…",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Acquired",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/highlight-io",
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    "year_founded": 2023,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/highlightrun",
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        "full_name": "Jay Khatri",
        "title": "Cofounder, CEO (acquired by LaunchDarkly)",
        "founder_bio": "I currently run the Observability business at LaunchDarkly. I was the CEO at Highlight, which was acquired by LaunchDarkly in March of 2025. ",
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        "linkedin_url": "https://linkedin.com/in/jay-khatri",
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        "full_name": "Vadim Korolik",
        "title": "Founder",
        "founder_bio": "Vadim Korolik is the founder and CTO of highlight.io, the open source session replay and error monitoring framework. A native of the Bay Area, Vadim previously worked at Pure Storage and drive.ai.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vkorolik/",
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        "date": "Aug 15, 2023"
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        "id": 68975,
        "title": "highlight.io - Open-source session replay & error monitoring",
        "tagline": "highlight.io is the open source, fullstack monitoring platform. We help engineers reproduce hard-to-crack issues, and understand how their product is used.",
        "body": "![uploaded image](/media/?type=post&id=68975&key=user_uploads/241768/1b79410b-8b41-4e1e-8869-c4ccfe7d2130)\n\n## **TL;DR:**\n\n[highlight.io](http://highlight.io) is an open-source **session replay and error monitoring** tool that helps teams reproduce hard-to-crack issues and understand product usage. We enable developers to understand WHY bugs are thrown on their web apps to eliminate the noisy alerts they get from more traditional monitoring tools.\n\n[highlight.io](http://highlight.io) is already being used in production by **2k+ developers and 80+ companies**. Get started for free at [app.highlight.io](http://app.highlight.io) and give us a ⭐️ at [github.com/highlight/highlight](http://github.com/highlight/highlight).\n\n### **The Problem**\n\nHow many times have you gotten an alert from Bugsnag or Sentry, and dismissed it because you weren’t sure about what caused it? And how many of you have an endless backlog of errors that your team _should_ triage, but haven’t gotten to yet?\n\nWe’ve found that when debugging an issue or customer request, **the toolset that you use is responsible for delivering one thing only: context**. And if there’s any gaps in this context, engineers are left in the dark.\n\nTo solve this, at our last companies, we found a lot of value in instrumenting a session replay-like tool, (similar to Logrocket or Fullstory), paired with an error monitoring tool (like Bugsnag). In fact, we’ve built these sorts of tools ourselves to hackily solve the problem. Enter [highlight.io](http://highlight.io).\n\n### **The Solution: Session Replay 🤝 Error Monitoring**\n\nWith a simple `yarn/npm` import in your frontend and an optional import in your backend, [highlight.io](http://highlight.io) gives you session replay and error monitoring out of the box. This means that you can:\n\n* Replay exactly what a user was seeing at the time of an issue/bug.\n* Reproduce the browser dev-tools for every user session, including the network requests, errors, and more.\n* Access all of the errors and exceptions (both frontend and backend) thrown in your app, paired with session replay.\n\nLastly, given the privacy-sensitive nature of the product, we have a very powerful privacy API that you can take a look at in our docs [here](https://www.highlight.io/docs/session-replay/privacy).\n\n## **💬 What’s Next?**\n\nWe’re just getting started! We have plans to go way deeper into your observability stack to give you ALL of the visibility you need; that means logs, traces and more! Join us on this journey:\n\n* ⭐️ us on [GitHub](https://github.com/highlight/highlight) to keep up with releases and news.\n* Join [our Discord](https://highlight.io/community)!",
        "url": "https://www.ycombinator.com/launches/HwV-highlight-io-open-source-session-replay-error-monitoring",
        "votes": 60,
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    "id": 28175,
    "name": "Pier",
    "slug": "pier",
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    "website": "http://www.pier-finance.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building an API for launching credit products. We enable companies to compliantly offer credit by handling the tech stack for origination, underwriting and loan management with just a few lines of code. We have built-in compliance guardrails to ensure that our customers comply with state and federal regulations and assist with licensing requirements and license management. ",
    "one_liner": "Stripe for Credit - Trusted Credit Compliance Partner",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1673342537,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/pier",
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    "year_founded": 2022,
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        "full_name": "Jessica Zhang",
        "title": "Founder",
        "founder_bio": "Jessica is CEO & Co-Founder at Pier. Previously, CoS/PM at Stilt (YC W16, acq. by JGW) and founding team for Onbo, Stilt’s B2B credit API product. 2x founder (Oppti, acquired), ex-JPMorgan, ex-McDonald's. $7B+ underwriting/transaction experiences across private equity, investment banking and management consulting. She's a Cornell alum and has managed teams of 30+ ppl. Fun fact: she's a ski instructor and her goddaughter is a chihuahua-mix shelter adopt. ",
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        "title": "Founding Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/pier/jobs/W6Bouqf-founding-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "0.50% - 2.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 74591,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/pier/jobs/e7WnWVP-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "title": "Pier Raises $2.4 Million to Help Businesses Launch Credit Products | PYMNTS.com",
        "url": "https://www.pymnts.com/alternative-credit/2024/pier-raises-2-4-million-to-help-businesses-launch-credit-products/",
        "date": "Jan 11, 2024"
      },
      {
        "title": "Pier banks $2.4M to launch ‘Stripe for credit’ | TechCrunch",
        "url": "https://techcrunch.com/2024/01/11/pier-2-4m-stripe-for-credit-fintech",
        "date": "Jan 11, 2024"
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        "id": 68537,
        "title": "Pier - The fastest way to ship your own loan products 🚀",
        "tagline": "Credit Infra API built for speed & flexibility ",
        "body": "👋🏻 Hey Alex & Jess here from W23 batch!\n\n## **✨ TLDR ✨**\n\nWe’re building an **API for launching credit products**. We enable any company to offer credit by handling origination, underwriting, compliance and servicing with just a few lines of code. Using Pier, our customers can offer credit to their borrowers/users without ever directing them outside their app, while Pier’s API powers the credit and compliance stack all under the hood.\n\n## **⛔️ The Problem ⛔️**\n\nLaunching a credit product in the US is extremely complex, expensive and time consuming — Companies have to build a lending function from scratch, pay millions of dollars for a bank charter, and spend months or years to implement. These combined factors often break the unit economics of a fast-growing company and are usually not part of a company’s core competency.\n\n## **✅ Our Solution ✅**\n\nPier enables companies to go live with their own credit product in weeks, not months!\n\n🔥 **Speed is our (and your) currency** - our platform and implementation process is designed to take you live in weeks, not months\n\n🚀 **Built for developers** - API driven, flexible modules to support innovative credit products\n\n📐 **Compliance partner** - leave the toughest compliance & licensing burdens to us, so you can focus on your customers. We help you understand your licensing and compliance needs, and provide you with compliance guardrails for long term sustainability. \n\n## **⚙️ How it works ⚙️**\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/e12a53e0-8a14-4878-8362-da74840a0188)\n\n![uploaded image](/media/?type=post&id=68537&key=user_uploads/1218632/0a66540d-b85b-4903-868d-cb9b313be48d)\n\n## **🙏🏻 Our Asks 🙏🏻**\n\n* Reach out via our [contact us form](https://www.pier-finance.com/contact) if you’d like to use our solutions\n* Share this with folks you know building credit products\n* Give us an Upvote & share!",
        "url": "https://www.ycombinator.com/launches/HpR-pier-the-fastest-way-to-ship-your-own-loan-products",
        "votes": 255,
        "created_at": "2023-01-18T23:25:45.982Z"
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    "id": 28178,
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    "website": "https://vector.co",
    "all_locations": "Boston, MA, USA",
    "long_description": "B2B advertising is broken: poor targeting, wasted ad spend, bot traffic, and 3rd party-cookies. Vector helps marketers drive pipeline with contact-level targeting and revealing who's seeing your ads (even if they never convert).",
    "one_liner": "Advertising for the new internet",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1675694302,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/vector",
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    "year_founded": 2022,
    "city": "Boston",
    "country": "US",
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        "full_name": "Joshua Perk",
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        "tagline": "Vector alerts sales teams when their executives, investors, and customers can intro them to their target accounts.",
        "body": "# **Problem: 74% of sales reps miss quota**\n\n👆This is why Pipeline Generation is today’s biggest problem CROs are facing!  \n\nB2B selling is hard. Buyers are inundated with noise. Modern “solutions” only automate the problem:\n\n* 2% cold call success = automated power dialers 🤮\n* 1% cold email success = mass sales engagement sequencers 👎🏼\n* Costly SDR team = AI prospecting + “virtual SDRs” that “personalize” at scale 🙅‍♂️\n\nPersonalization does not matter if no one opens your email or answers your call. There’s a monumental shift in the industry of B2B prospecting - and CROs are searching for a new playbook.\n\n# **Vector: Less Volume, More Quality**\n\nWe believe in an AI-enabled world where authentic relationships rule all.\n\nVector is the world’s only Relationship Intelligence platform — using AI to analyze 400M+ signals in real-time to identify meaningful relationships across your company’s entire network to win, retain, and expand deals.\n\n![](https://lh7-us.googleusercontent.com/V8oj_wAPmeAT7ayqDcRBSOPMM66QEMPMd0Tlwd-kgcEBr9ijOnSmtE-OOxC-4TOZQno7GE118BQwF2qJsA-Z1Mv8F-Pa7KY6Ver8YvvT4n6PnP_5I8Q1P5ahY4k7EziCs79zTJVDcEwddDbLvquKWok)\n\n# **The Shared Experience Graph™**\n\nAt Vector’s core is the Shared Experience Graph™ — a powerful data engine analyzing hundreds of signals _per relationship_ and a proprietary AI model purpose-built to find the most authentic relationships for your sales team.\n\nStop relying on manual spreadsheets, meaningless mutual LinkedIn connections, or expensive, glorified champion tracking tools that only tap a fraction of your network.\n\n![](https://lh7-us.googleusercontent.com/_WqZpni8euVAwRbQBinwgZW9xlhK3WKp3HX1mj8cppFi5ii6F_zgsONXutIpuwxqNgVbMzAe1s-F5SGaHh3aDvkKEhdMaCltw5a3Wki53OxLPpMn0-pALETUoDn1QqgZqEYqvenY8VySx8zrQ17qmOE)\n\nLet’s talk, because **84% of your B2B decision-makers start their buying process with a referral**, but finding the right trusted person to open the door for your team is extremely hard.\n\nFollow us, [Joshua](https://www.linkedin.com/in/joshuaperk/) and [Nick](https://www.linkedin.com/in/nicholasamasters/). We lived with this problem for years as GTM executives, and now we’re fixing it at [Vector.](https://vector.co/?utm_source=YC&utm_medium=Launch&utm_campaign=2024&utm_id=YC+Launch%2C+2024)",
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    "team_size": 7,
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        "full_name": "Nadav Erell",
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        "title": "Skyhook - Kubernetes the easy way 🚀",
        "tagline": "We make running services on Kubernetes as easy as Heroku, but on your cloud and with all the flexibility and power of Kubernetes.",
        "body": "**TL;DR; We help you set up production-ready services in minutes instead of days and weeks, with all the tools you need and Kubernetes best practices out of the box, so that you can focus on your code. [Talk to us](https://calendly.com/oded-koalaops/meeting) to learn more!**\n\n**Also, if you need help with migrating/working with Kubernetes please [contact us ](https://mailto:founders@skyhook.io)for a free consultation. We’d love to learn and help.**\n\nHi everyone, we’re Oded Regev and Nadav Erell, the founders of [Skyhook](https://www.skyhook.io/?utm_source=ycombinator&utm_medium=website&utm_campaign=yclaunch).\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/182a0cd6-8737-48d0-9543-543907a62b1b)\n\n[**Nadav, CTO**](https://www.linkedin.com/in/nadav-erell/) formerly a Staff Software Engineer and an experienced team leader and architect at Google. Deep technical experience building scalable, robust systems in cloud native environments.\n\n[**Oded, CEO**](https://www.linkedin.com/in/odedregev/) founded and led Cherrypick Consulting for 7 years with diverse customers including Gong.io, Mixtiles, Outbrain, OpenWeb and many more. \n\n# The Problem\n\nAlthough [50-70%](https://www.cncf.io/reports/cncf-annual-survey-2022/) of organizations have already adopted Kubernetes, most developers agree that it is too complex and difficult to manage. It is intended to be extremely flexible in order to solve pretty much everyone’s needs, however, it can take a ton of work and many auxiliary tools to get there.\n\nAs companies grow, they spend a lot on DevOps or Platform Engineers that try to reduce the burden on developers by gluing together all the 3rd party tools via custom internal tools.\n\n# Our Solution\n\nWe give you an “internal developer platform” out of the box, with best practices and golden paths for building and operating services on Kubernetes.\n\n![uploaded image](/media/?type=post&id=69952&key=user_uploads/1233799/9f8423a0-3f16-48f6-911c-d8e6234bfbc1)\n\nWe do the research on the latest and greatest tools in the extremely vibrant ecosystem, and automatically integrate for you the tools you want to use.\n\nWe operate on your code and in your Cloud environment, so you’re never locked in and never restricted, as is common with classic PaaS offerings.\n\nIf you prefer a fully hosted environment like Heroku, Fly or Vercel, we’ll host a cluster for you and offer you a one-click migration to your own cluster whenever you want.\n\n# **Our Ask 🙏**\n\n[Contact us](https://mailto:founders@skyhook.io) - We have a few last slots left in our beta - we’d love to see if we can help you step up your Kubernetes game or migrate, so that you can focus on building your own product instead of configuring YAML files and tools all day.\n\n### **We also offer free Kubernetes consultation!**\n\nPlease [contact us](https://mailto:founders@skyhook.io) or [book time](https://calendly.com/nadaverell) - we’d love to assist, even if you don’t end up using our product. Learning about real-life challenges that you are facing and trying to help you navigate them helps inform our roadmap and focus.",
        "url": "https://www.ycombinator.com/launches/ICG-skyhook-kubernetes-the-easy-way",
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    "name": "Lightski",
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    "long_description": "Lightski implements AI agents to replace document-heavy enterprise workflows. One document-heavy customer now processes intake in 10 minutes instead of 2 days, with a > 5x decrease in cost. \r\n\r\nTo do so, we audit and rebuild the entire substrate your business runs on, native to AI. From document-heavy intake to back-office execution, automatically drive your top line with Lightski agents.",
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        "founder_bio": "Hansen is the the cofounder of Lightski. Previously, Hansen was a founding engineer and engineering manager at Affinity CRM.",
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        "title": "Una apuesta de Y Combinator que impulsa la IA generativa | Emprendedores",
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        "date": "May 04, 2023"
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        "title": "Lightski",
        "tagline": "Audit and rebuild the entire substrate your business runs on, natively with AI.",
        "body": "Don't just automate tasks. We audit and rebuild the entire substrate your business runs on, natively with AI. From document-heavy intake to back-office execution, automatically drive your top line with Lightski agents.\n\n![uploaded image](/media/?type=post&id=87552&key=user_uploads/68558/97044200-bcd0-4229-84c4-217b3e952f28)\n\nIf you’re a company looking to pilot a plan for your entire team, please email [founders@lightski.com](mailto:founders@lightski.com). ",
        "url": "https://www.ycombinator.com/launches/Mm8-lightski",
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        "created_at": "2025-02-10T17:57:02.574Z"
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      {
        "id": 80683,
        "title": "Lightski - Embed an AI data scientist in your app",
        "tagline": "Embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution",
        "body": "**tl;dr:** Lightski helps you build an analytics experience for your users that answers any arbitrary question about their data. We provide embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution, which eliminates hallucinations.\n\n## Why?\n\nBefore YC, I was an engineering manager at Affinity CRM, where we spent six figures on an embedded analytics solution. Even then, our users were never happy; they either didn’t know how to navigate the complex UI or wanted even more advanced analytics. Most customers ended up exporting the data themselves and running their own analysis (not an ideal solution).\n\nRecent AI advancements remove this trade-off, enabling a natural language interface and powerful code-based analysis. We started Lightski to quickly give your users the full power of a data scientist, without needing to know a line of code.\n\n## User Experience\n\nWith Lightski, you’re able to embed an AI Data Scientist in your app, pre-loaded with your users’ data. Your users can then explore a dataset however they want; in response, we generate and execute code to perform analyses, such as:\n\n* Create custom graphs, charts, and dashboards\n* Perform arbitrary filters, group-bys, and aggregations\n* Transform or clean data for a custom CSV export\n\nAnything that a data scientist can accomplish in code can now be accomplished with Lightski. Best of all, your users won’t even know we’re powering the experience—you can quickly re-theme our UI with your design system.\n\n![uploaded image](/media/?type=post&id=80683&key=user_uploads/68558/dea1307b-ab28-464c-acf0-f89373cf1dfe)\n\n## Under the Hood\n\nWe rely heavily on state-of-the-art LLM models to guide the analysis, but there’s a lot of other capabilities built in-house that power the experience:\n\n* Secure and isolated per-user code execution environments\n* Native connectors for the most common databases\n* Code-based ETL, for flexible data pre-processing and transformation\n* Support for image generation and CSV export\n* Embeddable streaming UI that supports custom theming\n\nWe’re building fast and will also soon launch:\n\n* Interactive charts and even more customizable dashboards\n* Direct API access to our safe code execution environments and ETL pre-processing features\n* Guided assistants, for less technically-savvy users\n\nand much more! Let us know if you’re interested in any of these and we’ll prioritize it for you.\n\n## Get a Demo\n\nThe fastest way to get access to Lightski is by [signing up for our waitlist](https://forms.gle/Sj239WNvp5ZTLJGX6) or emailing [founders@lightski.com](mailto:founders@lightski.com)—we’ll help you format your data into a clean schema, and get Lightski embedded in your app within the day. Email us with any questions or feedback!",
        "url": "https://www.ycombinator.com/launches/KzL-lightski-embed-an-ai-data-scientist-in-your-app",
        "votes": 32,
        "created_at": "2024-05-07T17:04:06.921Z"
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        "full_name": "Sunny Singh",
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        "founder_bio": "Sunny Singh grew up in supermarkets - his family owns and operates a mid-sized chain in the US. He has carried a passion for food and retail throughout his career. Prior to founding Vendora, Sunny was the Head of US Strategy & Expansion for Uber Grocery/Cornershop. He joined Cornershop from Amazon, where he spent years across their grocery businesses, speciality fulfillment, and search science and AI teams. Sunny graduated from Columbia University and is a proud native New Yorker. ",
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        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
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      {
        "id": 74433,
        "title": "🛒 Vendora - Ecommerce enablement for grocery",
        "tagline": "Vendora is a vertical saas platform that enables grocers to earn more revenue and better manage their operations online.",
        "body": "Hey all! I’m Sunny, the founder of [Vendora](https://www.vendora.io/).\n\n**tl;dr** At Vendora, we build vertical saas for the grocery industry - today we focus on e-commerce enablement, helping grocers make the most of their digital channels. Think of us as Shopify Meets Toast for supermarkets.  \n\n### Problem\n\nA monumental $800B grocery industry runs on outdated systems and manual processes. In an age where 12% of grocery sales have gone online, many grocers are getting left behind, lacking the tools to adapt and make the most of this emerging channel. Grocers need to adapt to compete with the Amazon and Walmarts of the world.\n\n### Solution\n\nVendora is solving this problem by being the one platform grocers need to engage with customers digitally. We make it easy for them to succeed online. \n\nBy connecting with their existing stack, we ingest their data, augment it through our AI powered workflows, and set up accurate, enhanced data feeds to their third parties. We also give them their own storefront (website and app) so they can own more of the customer relationship. Along with all this, we give them the tools to easily manage these channels, optimize their performance, and engage with their customers.  \n\n### Who am I?\n\n![uploaded image](/media/?type=post&id=74433&key=user_uploads/1224770/f850f527-6a20-494e-be39-33fa37d566cb)\n\nI’ve quite literally have been in the grocery space for my entire life. \n\nI grew up in grocery stores, working in my family’s supermarkets, seeing it go from a single 500 sq ft family store in Queens, NY to a chain of stores. I’ve seen it all first hand (stocking, the register, backoffice, you name it). \n\nProfessionally, I was the Head of US Strategy at Uber Grocery coming in through Uber’s acquisition of Cornershop, where I earned my startup stripes. I began my career at Amazon's US Grocery team, worked on ops for Amazon Fresh, and then the Search Science and AI team. I’ve seen how some of the best companies on the planet run things and I’m channeling that expertise into Vendora. \n\n### Ask\n\nKnow any grocers that want to start selling online or earn even more on existing channels? Send them our way. [founders@vendora.io](mailto:founders@vendora.io)",
        "url": "https://www.ycombinator.com/launches/JMX-vendora-ecommerce-enablement-for-grocery",
        "votes": 25,
        "created_at": "2023-08-28T14:59:06.995Z"
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      {
        "id": 69777,
        "title": "🛒🥭 Jaldi – South Asian Groceries Delivered!",
        "tagline": "Jaldi is the online supermarket for South Asians living in the US",
        "body": "Hey everyone!  Sunny here from [Jaldi](https://getjaldi.com/). \n\nTL;DR: **Jaldi delivers your favorite South Asian groceries, household items, and beauty products right to your door**. Give us a try (use discount code LaunchYC at checkout or [click here to have it autoapply](https://getjaldi.com/discount/LaunchYC)) and share with your friends (<https://linktr.ee/getjaldi>). \n\n### 🛒 **What is Jaldi?**\n\nJaldi is the online supermarket for South Asians living in the US. We deliver thousands of South Asian grocery, beauty, and household products right to customers’ doors through nationwide and same-day local delivery. Available at [getjaldi.com](http://getjaldi.com) and on [our mobile apps](https://getjaldi.onelink.me/0mSJ/j3y5iudn), we offer the most seamless shopping experience for anyone looking to explore the rich cultural diversity of South Asia or simply get a taste of home. \n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/0bf887ba-cb0f-499b-a287-d9447dfe5536)\n\nCurrently we offer nationwide shipping of non-perishable items (get your [Kurkure](https://getjaldi.com/products/kurkure-masala-munch-82g/?variant=%2044438553690429), [Thums Up](https://getjaldi.com/products/thumps-up-300-ml/?variant=%2044141331218749), [Dals](https://getjaldi.com/pages/dal-beans?filter.p.tag=Nationwide), etc.) and local same-day delivery of a full selection of South Asian groceries ([dahi](https://getjaldi.com/products/0rganic-whole-milk-dahi-2-l?variant=44141385253181), fruits & vegetables, frozen meals, etc.) in New Jersey. \n\n### 🤔 **Why does Jaldi exist?**\n\nWhile the last five years saw a fivefold increase in US online grocery penetration, little has changed for South Asians living in the US. Few South Asian supermarkets offer delivery and often struggle on inventory and quality when they do. Selection online can often be expensive, elusive, and leave the customer wanting for more. \n\n**The South Asian consumer deserves better. That’s why I started Jaldi.** \n\nSouth Asians in the US are the highest earning and fastest growing ethnic demographic - yet there are few shopping experiences that cater specifically to them. Jaldi is building the first-class e-commerce experience for the South Asian diaspora. The next wave in retail will be cultural commerce, how communities shop and interact with what they buy. Jaldi is leading the way in this emerging space. \n\n### 🧔🏻‍♂️ **Why am I the one building this?**\n\nI’ve spent my life in this space. I grew up in South Asian supermarkets - my family runs a large chain in the US. My first job out of college was working on Amazon’s grocery business, wearing many hats over the few years I spent there. Most recently, I was the Head of US Strategy & Expansion for Uber’s Grocery business. I’ve seen the grocery industry (and specifically the South Asian consumables space) from multiple angles and see the opportunity to build an amazing customer experience here. \n\n### 💥 **The Deal**\n\nOrder! Browse the site ([check out our Popular Picks](https://getjaldi.com/pages/popular-picks) if you can’t make up your mind).You can use the discount code LaunchYC at checkout for 10% off and free shipping on your first $50 order. \n\n* [Download the app](https://getjaldi.onelink.me/0mSJ/j3y5iudn)\n* [Go straight to](https://getjaldi.com/) [getjaldi.com](http://getjaldi.com)\n\n### 🙏🏽 **Our Ask**\n\nFollow us and share! We’ll be highlighting some of our favorite products and special deals on our socials, help us spread the word!\n\n* [Facebook](https://www.facebook.com/getjaldiofficial)\n* [Instagram](https://www.instagram.com/getjaldi/)\n* [Twitter](https://twitter.com/getjaldi)\n* [Pinterest](https://www.pinterest.com/getJaldi/)\n* [Linkedin](https://www.linkedin.com/company/getjaldi)\n\n### 🗣️ **What are customers are saying?**\n\n_I love your service. Please accept few more orders in future._ \\[He bought all of our inventory on a product\\]_. Great work! Thank you for your business_ \n\n_Sunny!!! I got the groceries. Seamless process, actually so smooth._\n\n_Honestly, I had never stepped foot into a South Asian supermarket and didn't know what to expect. Ordered some of the recommended products, now I can't get enough of Thums Up and Kurkure!_\n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/6576e5fd-0ca9-4e38-93d8-1ad4934e03ac)\n\n_Screenshot shared by an enthusiastic batchmate and Jaldi fan!_",
        "url": "https://www.ycombinator.com/launches/I9R-jaldi-south-asian-groceries-delivered",
        "votes": 159,
        "created_at": "2023-02-28T20:07:14.007Z"
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    "team_size": 80,
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        "full_name": "Ayush Sharma",
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    "name": "SpecCheck",
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    "long_description": "SpecCheck is an all-in-one solution that provides accurate prescription eyewear ordering and tracking, seamless billing, and streamlined communication between patients, eye doctors, and their lab partners. SpecCheck’s users work more efficiently and make fewer costly errors, increasing productivity and improving their overall workflow. ",
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    "team_size": 5,
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      "name": "Diana Hu",
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        "full_name": "Joe DeMaria",
        "title": "Founder",
        "founder_bio": "Joe is the co-founder and CEO of SpecCheck. Beginning his career as an optician, Joe has worked on all sides of the optical industry and most recently managed top territories for Johnson and Johnson Vision. Joe’s ultimate vision (pun intended) is to create a piece of technology which unifies the patient, doctor, and third party vendors in a single elegant solution. When he’s not busy with SpecCheck, you can find Joe cooking in the kitchen, sailing, or playing video games. ",
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        "full_name": "Arnold Villatoro",
        "title": "Founder",
        "founder_bio": "Arnold is the co-founder and CTO of SpecCheck. Arnold has been a software engineer for almost a decade, starting his career at Workday. Most recently, he lead the payments team at Lyft. Outside of work and tech, Arnold enjoys working out, is a big foodie, has a cat named Peanut, and loves Super Smash Brothers. Fun fact: Arnold was born in Honduras!",
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        "title": "SpecCheck eyes $4M seed to modernize optometry",
        "url": "https://www.axios.com/pro/health-tech-deals/2023/10/04/speccheck-raises-4m-seed-optical-payment-software",
        "date": "Oct 04, 2023"
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      {
        "id": 69528,
        "title": "👓 SpecCheck - Unifying how the optical industry does business",
        "tagline": "We help eye doctors submit & track Rx orders, pay bills, notify patients, and more.",
        "body": "**_Tl;dr:_** _SpecCheck is an all-in-one solution that provides accurate prescription eyewear ordering and tracking, seamless billing, and streamlined communication between patients, eye doctors, and their lab partners. SpecCheck’s users work more efficiently and make fewer costly errors, increasing productivity and improving their overall workflow._\n\nHello, World! We’re Joe DeMaria and Arnold Villatoro, the co-founders of [SpecCheck](http://www.speccheckrx.com). Together with our team of industry experts and seasoned software engineers, we’re on a mission to revolutionize the optical industry.\n\n![uploaded image](/media/?type=post&id=69528&key=user_uploads/1251063/d58a9c75-3474-4b78-a5af-978c0f8eea1c)\n\n_Co-founders Joe DeMaria and Arnold Villatoro_\n\n### **❌ The Problem: Current optical industry software sucks!**\n\nDid you know it takes a coordinated team of eye doctors, opticians, technicians, and an optical lab to successfully dispense a _single pair_ of prescription eyeglasses? Despite this complex balancing act, each of these groups are forced to use antiquated technology and systems built in the 1990s that are fragmented, outdated, and limited to specific use cases. This results in glasses taking longer than they should to reach the patient, and results in expensive remakes. Not-so-fun fact: one in ten pairs of glasses needs to be redone before they are ready for pick up.\n\n### 😎 **The Solution: SpecCheck**\n\nSpecCheck is a unified ordering, billing, and communications platform designed specifically for the optical industry. Our solution centralizes all processes involved in the purchasing and manufacturing of prescription eyewear, saving time and reducing costly errors. Some of our features include: \n\n* **✨ Modern Dashboard:** Our simple and intuitive dashboard appeals to both new and veteran eye doctors.\n* **👓 Order Entry:** The easiest way for eye doctors to electronically transmit eyewear orders to optical laboratories, with advanced data validations to reduce errors.\n* **💳 Payments Processing:** Doctors can conveniently pay lab invoices directly from our platform.\n* **💬 Customer Service Live Chat:** Communicate more efficiently with optical labs to check order statuses, make edits, and request additional information.\n* **🔔 Patient Notifications & Tracking:** Keep patients in the know with one-click order notifications and our self-service patient order tracker.\n\n![uploaded image](/media/?type=post&id=69528&key=user_uploads/1251063/7a550fda-8c41-49eb-8cf3-c4478ff946f1)\n\n_SpecCheck’s Dashboard_\n\n### **⭐ Why Us?**\n\n[Joe](https://www.linkedin.com/in/joe-demaria-15a15943/) began his career in the optical industry in 2012, working as an optician for several different offices. In 2016 he was recruited to work for a key industry player, Shamir Insight, and afterwards for Johnson & Johnson Vision as a sales executive. As he traversed the industry in various roles, Joe realized that thousands of other eye doctors and optical labs were suffering from the same problems and frustrations he had encountered during his career. \n\nWhen Joe approached his friend [Arnold](https://www.linkedin.com/in/arnold-villatoro-85629330/) about creating a new technology resource to unify the fragmented optical industry, Arnold was quick to see the vision (pun intended). Arnold’s career started at Workday building the infrastructure for an internal job scheduler. Most recently, Arnold was the lead staff engineer for the payments infrastructure and processing teams at Lyft. With his diverse experience designing scalable and easy-to-use technology solutions for millions of users, Joe and Arnold make the perfect co-founding team.\n\n### 🙏 **Our Asks**\n\n* **📣 Sharing:** Share this post with your network, and follow us on [LinkedIn](https://linkedin.com/company/speccheck)!\n* **➡️ Referrals:** Connect us with any family, friends, or colleagues who work in the optical industry. \n* **🖥️ Product Demos:** If you’re in the industry and would like to learn more about [SpecCheck](https://www.speccheckrx.com/), please [contact us today](https://www.speccheckrx.com/contact).\n* **🚀 Investors:** Please reach out to us at [investors@speccheckrx.com](mailto:investors@speccheckrx.com) to discuss investment opportunities.\n\n ",
        "url": "https://www.ycombinator.com/launches/I5Q-speccheck-unifying-how-the-optical-industry-does-business",
        "votes": 58,
        "created_at": "2023-02-22T05:30:14.909Z"
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    "long_description": "We are re-building code hosting, code review, and CI primitives from the metal, for the next generation of professional developers: Small, focused teams, working closely, augmented by AI.",
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    "team_size": 10,
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Jacob Thornton",
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        "title": "Pierre - A new way to review code",
        "tagline": "Pierre enables engineers, designers and business team members to discuss new features before they're merged.",
        "body": "Hi Everyone —\n\nWe are Ian and Jacob, and we are on a mission to modernize code reviews. Sign up for the alpha on [**HeyPierre.app**](http://heypierre.app/)\n\n![uploaded image](/media/?type=post&id=69619&key=user_uploads/46928/b1f1d6e0-88b1-4a2e-b17c-0d5982d2543d)\n\nJacob (CEO) and Ian (CTO) met as early engineers at Twitter 14 years ago.\n\nJacob is the co-creator of Bootstrap (one of the largest and most popular open source communities on GitHub) and later went on to work as one of the first engineers at Medium. Ian was the first intern at Twitter, dropping out of college at 19 to TL the Twitter platform team.\n\nJacob and Ian co-founded a mobile app called Bumpers in 2016, which was eventually acquired by Coinbase. For the next 5 years, they led the Product Platform team at Coinbase and were the company-wide web and mobile DRIs.\n\n### Github doesn’t solve today’s biggest engineering problems\n\nIn the decade+ since Github was built, tools that prioritize real time collaboration and discussion (Figma, Notion, and Linear) have exploded in popularity, but the circa-2006 code review experience hasn’t materially changed.\n\nWe’re building a new way to review code, and we’re starting with pull requests. As engineers with more than 15 years of experience, we’ve seen firsthand how cumbersome a pull request review is using Github — often, pull requests lack necessary context, take too long to approve, and cannot be viewed by non-engineers for feedback. Github’s comment features make it difficult to manage a conversation over time, and discussion is lost when engineers switch to Slack or Hangouts.\n\n### Your code, conversations, and collaborators. Together.\n\nPierre enables engineers to shape the way that their code is reviewed. We’re starting with two of the biggest problems that engineers have:\n\n1. How do you set better context?\n2. How do you better manage discussions?\n\nWe’re taking features of the products you love most — the organized chats of iMessage, the real time collaboration of Figma, and the narrative structure of Notion — and we’re bringing it to code reviews.\n\n![uploaded image](/media/?type=post&id=69619&key=user_uploads/46928/2f0b02fe-d44b-4605-a704-f66aa7736c4f)\n\nUsing Pierre, code review creators can:\n\n* Set context next to the code\n* Reorganize diffs intuitively\n* Break up large pull requests into digestible bites\n\nAnd code reviewers can:\n\n* Be anyone — no more waiting for the bug bash to get design and product feedback\n* Comment on anything — code, images or text\n* Conduct real-time conversations right next to the code\n* Get up-to-speed on changes more quickly\n\n### Why we built Pierre\n\nWe’ve been intimately using GitHub since it’s inception (Ian’s user id is #91). There’s been a lot to love about GitHub over the years, but innovation on the core experience is lagging and other pieces of our toolchain are making us expect more. This is only exasperated by Ian living in NYC and Jacob in SF.\n\nEngineers deserve a realtime, collaborative software platform optimized for productivity - instead of a slow, feed-based social network for coding.\n\n### Try Pierre Out!\n\n* Head to [**HeyPierre.app**](http://heypierre.app/) and sign up for our waitlist. We’re in closed alpha, but we can’t wait for you to try us out.\n* We’re looking for a handful of fast growing teams (with \\~25-50 engineers) to pilot us. If you know a team that could be a good fit, email [rachel@heypierre.app](mailto:rachel@heypierre.app). **Earn a $200 referral bonus for each paying team you bring in.**",
        "url": "https://www.ycombinator.com/launches/I6t-pierre-a-new-way-to-review-code",
        "votes": 67,
        "created_at": "2023-02-23T20:27:31.367Z"
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    "name": "Vaero",
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    "website": "https://vaero.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vaero's AI produces the most human sounding writing in the world. User's input their own writing, and Vaero automatically trains custom models to write exactly like the user. It writes emails, reports, brand content, and anything else. Vaero bolts on to any existing foundation model, such as GPT-4o and Claude Sonnet 3.5, so you can always use the latest model in your writing style.",
    "one_liner": "AI for Human Writing",
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    "industry": "Consumer",
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        "full_name": "Bryant Lee",
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        "founder_bio": "Co-founder of Vaero (YC W23) and 2nd time YC founder. Led prior company to $2M revenue run rate. Ph.D. Candidate in Computer Science at Carnegie Mellon, where I worked with my advisor Luis von Ahn on early iterations of Duolingo. Graduated from Harvard Law School, where I was on law review. Undergraduate double degree in Computer Science and Math.",
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      {
        "id": 70270,
        "title": "Vaero - AI for Patent Lawyers",
        "tagline": "We save patent lawyers hours of time on their slowest and most laborious task - drafting patent applications",
        "body": "**Tl;dr: Vaero is AI software to help patent lawyers work 5x faster. It drafts an entire patent application with AI based on invention information. The software includes a complete platform for patent lawyers to use AI for reviewing patent applications, responding to office actions, and enhancing invention disclosures.**\n\n**🔬 The Problem:**\n\nPatent lawyers spend hours drafting patent applications, which can be dozens and even hundreds of pages long. Patent applications include lots of detailed technical description about inventions in a formalistic way that is slow and laborious to write. Many patent lawyers find writing these technical descriptions to be their least favorite part of the job given that it can be tedious.\n\nMoreover, the time-consuming nature of patent application drafting is also a major business problem for patent attorneys. Budgets per patent application have been on a flat or declining trend over the last two decades due to increased client demands. As a result, patent attorneys find themselves having to write patent applications with a smaller and smaller budget, which has led to increased time pressure. In some firms, patent application drafting has become an unprofitable loss leader that only serves to retain clients for more profitable legal services.\n\nIn addition to drafting patent applications, patent attorneys also deal with large volumes of documents in the other parts of their job. They often have to analyze long patent documents; they have to respond to patent application rejections from the patent office, which can be dozens of pages long; and they have to work with varying levels of invention information, which range from a few sentences to entire manuscripts.\n\n**🪄 The Solution:**\n\nVaero is AI software built specifically for patent lawyers to speed up their patent drafting and other daily tasks:\n\n* Vaero drafts an entire patent application using AI based on the same inputs that patent lawyers use\n* Patent applications are written to the highest legal standards, based on our CEO’s ten years as a patent lawyer including at one of the biggest U.S. law firms\n* Automatically review existing patent applications to assist with legal analysis\n* Enhance invention disclosures from inventors\n\n**⭐️ Why us?**\n\nWe are [Bryant](https://www.linkedin.com/in/bryant-lee/) and [Earl](https://www.linkedin.com/in/earlhathaway/), 2nd time founders whose prior startups have collectively raised $80M+.\n\n* Bryant has been a patent lawyer for ten years and previously co-founded Cognition IP, a legal tech startup in the patent field which achieved 7 figures of annual revenue and was backed by Khosla Ventures, Mayfield Fund, and Y Combinator. He was a patent lawyer at Covington & Burling, one of the biggest law firms in the U.S., and graduated from Harvard Law School where he was on the law review. Prior to that he was a Ph.D. candidate in Computer Science at Carnegie Mellon.\n* Earl previously co-founded a successful legal compliance startup called DataGrail (Series C, raised $84M), which sells privacy software to the legal departments of large enterprises. Prior to DataGrail, he has been a technical and product leader at many startups.\n\n![](https://lh4.googleusercontent.com/WX1askFb1Wr4isgeEJJNjiF-3ksFsLa67Kwt93RZ6TiiDP1b7VxjVq-CCnnk0uIKtCO3_7WucjnKx0xtXdPaiRKu1F7BSyqtTgmAH0CBVdcu6X6NRZEH932WhuTkR4ki404crxQuF0WdWQJMOyRPDLg)\n\n**🎉 Interested?**\n\nIf you’re thinking about how to draft patent applications more efficiently, book a [call](https://calendly.com/bryant-lee-sf/15min) with us or reach out to [founders@vaero.co](mailto:founders@vaero.co)",
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        "votes": 32,
        "created_at": "2023-03-14T15:46:27.642Z"
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    "website": "http://www.metal.so",
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    "long_description": "Backed by a16z and YC, Metal is building an AI-native operating system for founders raising venture rounds. Metal brings proprietary intelligence on the venture ecosystem, enabling founders to identify the \"most likely\" investors, research various firms, and identify who they know that can introduce them to specific investors.\r\n\r\nMore than 100 YC founders have signed as paying customers.",
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    "year_founded": 2024,
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    "country": "PK",
    "linkedin_url": "https://www.linkedin.com/company/raisewithmetal/?viewAsMember=true",
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      "name": "Aaron Epstein",
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        "full_name": "Usman Gul",
        "title": "Founder",
        "founder_bio": "Building super intelligence for fundraising. Prior to Metal, I raised $120m for my first startup across six venture rounds. And before that, I was a part of the early team at DoorDash and Marqeta.\n\nI can be reached at gul@metal.so.",
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    "name": "HockeyStack",
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    "website": "https://hockeystack.com",
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    "long_description": "HockeyStack improves sales outcomes for B2B companies by helping them record and understand every interaction their customers have with their marketing, sales reps, CSMs, and products. \r\n\r\nWe map every customer touchpoint from ad impression to closed won and to upsell using our own tracking script and native integrations to the B2B GTM tech stack. \r\n\r\nBuilding this source of truth allow us to give companies previously hidden insights that generate incremental revenue, such as:\r\n\r\n- Deploy marketing budget: \"Launch this ad campaign to this audience to generate $XM in pipeline\"\r\n- Target the right accounts with the right messaging: \"These accounts have the highest likelihood to convert, put them on this email sequence\"\r\n- Convert more of the pipeline: “Pied Piper hasn't visited the site for 8 days; give Jim a phone call”\r\n",
    "one_liner": "The operating system for inbound B2B revenue",
    "team_size": 32,
    "industry": "B2B",
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    "launched_at": 1680648195,
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 307556,
        "full_name": "Buğra Gündüz",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ HockeyStack. I started learning to code as a child, started selling digital products online in my freshman year of high school in Turkey, went to the US for college & dropped out during my first quarter to build HockeyStack.",
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      {
        "user_id": 703243,
        "full_name": "Arda Bulut",
        "title": "Founder",
        "founder_bio": "co-founder and cto",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ardabulut-627211/",
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        "title": "HockeyStack raises $20 million for marketing analytics and attribution",
        "url": "https://www.axios.com/2025/01/28/hockeystack-revenue-analytics-software",
        "date": "Jan 28, 2025"
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      {
        "id": 73647,
        "title": "🏒 HockeyStack — Revenue intelligence & attribution for B2B",
        "tagline": "How Whatfix, Cognism, and 35+ others analyze marketing and sales performance & generate more pipeline",
        "body": "### _TL; DR,_\n\n1. _Customers connect all data sources (CRM, ads, web, and product analytics…) to HockeyStack to create a source of truth for customer engagements. No engineering work required._\n2. _HockeyStack shows which channels, campaigns, content, segments, etc. drive the most revenue and active customers._\n3. _HockeyStack creates lists of high-intent accounts that customers can use to launch the most efficient sales & marketing campaigns._\n\nWe’re Arda, Buğra, and Emir. We came from Turkey & dropped out of our first semester of college in the US to build [HockeyStack](https://www.hockeystack.com/?utm_source=launchyc), because we realized that every single B2B enterprise has the same exact #1 problem.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/5a0ce469-00e7-416a-8af0-ba3a7b9f0718)\n\n### Problem\n\nRevenue-facing teams in B2B companies run all their operations on customer data, whether it is managing an advertising budget, launching integrated campaigns, closing deals, or retaining customers. But there is no central system of record for customer data that they can use to run their operations, so instead, they rely on tens of different data tools and spreadsheets.\n\nThe CRM was built for this purpose, but over 20 years it got outdated, and companies found themselves either having to find hacks to format their data to fit the CRM, or build a data warehouse from scratch.\n\n### Solution\n\nHockeyStack collects all data about customer interactions through a web analytics script, a set of integrations to revenue-related business systems (CRM, ads, marketing automation, email, etc.), and data partners.\n\nAny non-technical person in a B2B company can use HockeyStack’s reporting interface to answer complex questions like:\n\n* What marketing channel had the best unit economics this quarter?\n* Which segment of companies do we have the highest account penetration in?\n* What makes a customer buy our software faster?\n* Who are the highest intent companies who have not yet booked a demo with us?\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/d86c6313-72ee-42ce-9500-4875f29a8a3b)\n\nThey click into the numbers, and can see a list of accounts behind the report, all of which have their entire history of engagement with the company displayed alongside important firmographics.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/25f109b6-83e0-44d3-bb45-3a5ae267d2de)\n\nThis information can be used to create and export lists of high-intent accounts based on different segmentations out to various marketing and sales platforms to start or accelerate the sales conversation.\n\n### **🙏 Ask**\n\nWe’d love to be introduced to marketing and sales leaders at B2B enterprises or scale-ups!\n\n### 🤲 **Give**\n\nWe’d be happy to help any B2B founder with advice in generating inbound pipeline.\n\nYou can reach me at [bugra@hockeystack.com](mailto:bugra@hockeystack.com) or [LinkedIn](https://www.linkedin.com/in/bgrgndzz/).",
        "url": "https://www.ycombinator.com/launches/J9r-hockeystack-revenue-intelligence-attribution-for-b2b",
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        "created_at": "2023-08-01T15:53:50.382Z"
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    "long_description": "HyLight builds and operates the HyLighters. Our autonomous airships for long range monitoring. We focus on critical infrastructure inspections:\r\n- detecting methane leaks on pipelines.\r\n- defects & vegetation risks on power lines.\r\n- defects & vegetation risks on railways.\r\n\r\nOur innovation, the HyLighter, is a crossover between drone and airship technology. Like a drone, it is easily controllable and transportable. And, like an airship, it is extremely energy-efficient, enabling it to fly for up to 10 hours at slow speed (22mph) for optimal data collection which represents a range of 220miles. \r\n\r\nToday, energy infrastructure operators struggle with conducting inspections that are simultaneously: massive and precise. HyLight offers a solution to precisely detect issues on the infrastructure at an industrial scale, and all of this without emitting GHGs.\r\n\r\nWe are 3 co-founders experienced in hardware and energy companies with Masters in Mechanical Engineering, Computer Science and Business from the best Engineering and Business School in France.\r\n\r\nWe have manufactured 20 HyLighter and are deploying across Europe.",
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    "team_size": 37,
    "industry": "Industrials",
    "subindustry": "Industrials -> Climate",
    "launched_at": 1687803555,
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    "country": "FR",
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        "title": "Spontaneous application",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/wlKHnIf-spontaneous-application",
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        "type": "Full-time",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "type": "Full-time",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "equity_range": "",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/8x9j1cu-embedded-software-engineer-architecture-ci-cd",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/ELojucZ-airworthiness-engineer-internship",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/U0HI4S7-mechanical-engineering-internship",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/R3OoU5W-full-stack-engineer-full-time-position",
        "location": "Paris, France",
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        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Mechanical Integration and Test Engineer - Full Time Position",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/c003rLY-mechanical-integration-and-test-engineer-full-time-position",
        "location": "Paris, France",
        "type": "Full-time",
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        "experience": "Any (new grads ok)",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/sgux8ud-autonomous-drones-engineer",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
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        "visa": "US citizen/visa only",
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        "title": "Country Lead - Germany",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/Jj0evaj-country-lead-germany",
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        "location": "Paris, France",
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        "title": "Data Engineer, Airships to Cloud",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/eRWwsMp-data-engineer-airships-to-cloud",
        "location": "Paris, France / Remote (US)",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/uQiauPv-business-development-internship",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Sales",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 117447,
        "title": "Embedded Software Internship",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/S6eH5Ss-embedded-software-internship",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
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        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 117448,
        "title": "Payload Operator & Embedded Data Analyst - internship",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/gIiGNF0-payload-operator-embedded-data-analyst-internship",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 117449,
        "title": "Field Operations Manager - Full time position ",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/NQpVYGb-field-operations-manager-full-time-position",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 117450,
        "title": "Senior Electronics Engineer",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/ZGY1k4r-senior-electronics-engineer",
        "location": "Paris, France",
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        "role": "Engineering",
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        "experience": "5+ years",
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        "id": 117451,
        "title": "Chauffeur super poids lourd (SPL) Dirigeable (H/F)",
        "url": "https://www.ycombinator.com/companies/hylight/jobs/6aZ4Bst-chauffeur-super-poids-lourd-spl-dirigeable-h-f",
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        "location": "Paris, France",
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        "url": "https://www.ycombinator.com/companies/hylight/jobs/QQPRLmY-chief-of-staff-associate-intern",
        "location": "Paris, France",
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        "body": "Hello everyone, we are [HyLight](https://www.hylight.aero/). We build small unmanned hydrogen airships to automatically gather massive amounts of precise data in a sustainable and cost-effective way.\n\n🚫 **The problem :**\n\nWe currently focus on:\n\n* 💨 Pipeline inspection to detect methane leaks (4% of global greenhouse gas emissions).\n* ⚡Power line inspection to prevent outages, reduce wildfire risks ($19 billion per year in the US), and ensure grid reliability.\n\nCurrent solutions (helicopters, airplanes, satellites and drones) are not adapted to make accurate, efficient and sustainable observations.\n\n✅ **Our solution** :\\\nOur solution is a crossover between drone and lighter than air technologies, using hydrogen as a lifting gas and power source.\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/71bfe7a3-7276-4501-a63f-19311f24fcb5)\n\nThis vehicle combines long range, high payload, and hovering capabilities\n\nWe have already built four prototypes, [two minimum viable products (MVPs)](https://youtu.be/MQLInmqLF7M), and are running a paid pilot with the largest power line company in Europe.\n\n🙏 **Our ask: How you can help**\n\n* **🤝 Refer:** If you know anyone that works in Oil&Gas or utilities please connect us ([thomas@hylight.aero](mailto:thoma@hylight.aero)).\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [LinkedIn](https://www.linkedin.com/company/hylightaero).\n\nWe are building the perfect airborne platform to better observe, understand, and improve our world.\n\nJoin us for the flight!\n\n![uploaded image](/media/?type=post&id=72609&key=user_uploads/935793/56584ff9-a2da-41ab-985b-3a830e9f5f67)\n\n",
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        "title": "🌍 Reworkd - Your new scraping co-pilot",
        "tagline": "Effortlessly extract web data at scale.",
        "body": "**tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system. Today, we're excited to launch our self-serve tool!\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/a0cd569c-51bc-4eba-9b2c-ad3f5472ddea)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes—all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/1704dcda-c244-4f12-8812-c249b5a86829)\n\nRecognizing the inefficiencies of traditional data collection methods, we have built a platform to provide co-pilot experience for scraping. Simply provide a list of websites along with your unified schema, and our platform automatically generates custom Playwright code for each site. You’re not locked into a black-box solution—you have full control to guide, tweak, or completely rewrite the code in our built-in IDE as needed.\n\n![uploaded image](/media/?type=post&id=88460&key=user_uploads/1285282/97652937-38a3-42ff-8c2c-9d7db6a852b2)\n\nIn addition, our platform offers:\n\n* **Real-Time Dashboard:** Monitor your scraping projects in real-time. Track outputs, scraper failures, unique results, visited pages, website review status, file downloads, and more.\n* **Scheduling and Deduplication:** Run scrapers at your desired frequency, choose between full or incremental scraping, and deduplicate data based on a primary key.\n* **Bypass Anti-Bots:** We manage all proxy and anti-bot measures—including captcha solving and diverse proxy setups—so you never have to worry about managing residential, data center, or other proxy types.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n* **Seamless API Integration:** Easily ingest your scraped data through our API.\n\n# **🙏 Our Ask**\n\n* [**Support our Product Hunt Launch**](https://www.producthunt.com/)!\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.",
        "url": "https://www.ycombinator.com/launches/N0m-reworkd-your-new-scraping-co-pilot",
        "votes": 15,
        "created_at": "2025-03-11T07:05:36.825Z"
      },
      {
        "id": 82000,
        "title": "🌍 Reworkd -  Your new end-to-end web scraping platform",
        "tagline": "Effortlessly extract web data at scale. No code. No maintenance. No worries.",
        "body": "### **tl;dr:** Reworkd automates your entire web data pipeline, end-to-end. It understands websites, writes code, runs scrapers, and validates results — all from one simple system.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/0ca6ad3d-55af-4bb3-867b-283a56f8b52d)\n\n# **😩 The Problem**\n\nCollecting, monitoring, and maintaining a web data pipeline can be complex and time-consuming, especially at scale. Traditional methods often struggle with issues such as pagination, dynamic content, bot detection, and site changes, all of which can compromise data quality and availability.\n\nTo address web data needs, businesses are often faced with either building out an internal engineering team or outsourcing to a low-cost country. The former can be expensive, while the latter is often unsustainable and requires significant management oversight.\n\n# **🚀 The Solution:**\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/900fe64d-6e59-446a-83e5-9cd706e927d1)\n\nRecognizing the inefficiencies of traditional data collection methods, Reworkd was developed to simplify your web data pipeline. Simply provide us with a list of websites and the schema you want the data mapped to, and we will handle the rest.\n\n![uploaded image](/media/?type=post&id=82000&key=user_uploads/1383230/c7e7d26e-73d2-4a5a-84d6-ca9bd06971fc)\n\nAt its core, Reworkd uses LLM code generation to enable companies to rapidly scale their extraction efforts across thousands of websites. Additionally, we offer:\n\n* **Self-Healing Scrapers**: These scrapers automatically adjust to website updates to maintain data integrity.\n* **Scheduling and Deduplication**: This feature ensures you have a complete and current view of all websites, providing a historical perspective on data changes.\n* **Automatic Proxies**: With Reworkd, there’s no need to choose between residential, data center, or other proxy types—we manage this for you.\n* **Complex Data Types**: We take care of downloading and hosting files, ensuring data availability even as source websites evolve.\n\n# **🙏 Our Ask**\n\n* **Book a Chat!** Have a few minutes? Schedule [a time with us](https://reworkd.typeform.com/to/qscfsOf1) and let’s discuss how we can help scale your data needs efficiently.\n* **Support our launch** [**tweet**](https://x.com/asimdotshrestha/status/1810720478111371581) and follow us on [**LinkedIn**](https://www.linkedin.com/company/reworkd) and [**Twitter**](https://x.com/reworkdai)\n* **Share Reworkd** with anyone you know who is facing challenges in scaling their web data pipeline.",
        "url": "https://www.ycombinator.com/launches/LKa-reworkd-your-new-end-to-end-web-scraping-platform",
        "votes": 45,
        "created_at": "2024-07-09T16:03:41.006Z"
      },
      {
        "id": 73151,
        "title": "🤖 Reworkd AI - The open-source Zapier of AI agents",
        "tagline": "We help automate core business workflows with the help of AI Agents",
        "body": "**tl;dr:** _Reworkd AI connects businesses to AI Agent automation. With an easy-to-use, no-code platform, Reworkd AI allows companies to eliminate tedious, repetitive tasks and accelerate their operations with AI Agents, all while integrating seamlessly with their existing tech stack._\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/8c2f25ca-0406-47ae-af27-7f23a35cc45d)\n\nHello folks 👋 We’re the team behind Reworkd AI.\n\nInitially our team developed AgentGPT, a web based platform for AI Agents which quickly attracted **150K monthly active users** and **25K ⭐️ on GitHub** in the last three months.\n\nAs we built out this platform, we noticed a growing trend: businesses were increasingly seeking automation through AI Agents.\n\n### **❌ The Problem**\n\nToday, the core of many business are comprised of **tasks that require time consuming and manual human intervention**. With the rise of AI Agents, many companies are turning to them to automate these processes in a way that existing workflow tools cannot. In building AgentGPT however, we realized that AI Agents could not handle business-critical processes due to the following problems:\n\n* **Hallucination:** AI Agents make up information not grounded in any facts.\n* **Unproductive loops/repetition:** AI Agents struggle to understand the current context of a task, leading to unproductive loops.\n* **Probability of failure:** Each prompt completion has a certain probability of failure which only compounds with long-running agents.\n\n### ⭐️ **Our Solution**\n\n![uploaded image](/media/?type=post&id=73151&key=user_uploads/1285282/56351169-49c6-4eb4-bad1-efa723afe74e)\n\nOur platform solves these issues by **coupling AI Agents with a structured workflow system**. This enables businesses to formalize and codify their core processes in a verifiably correct way while still enabling AI Agents to reason about the nuances of a problem.\n\nAs an example, one B2B customer in our pilot program vends data to over 30,000 different customers. They’ve leveraged Reworkd to create a workflow that runs an AI Agent through each customer’s website, validating that they are compliant against a set of unstructured rules. Based on these results, the platform will automatically follow up with their customer. This process previously took **an entire department and weeks of manual intervention.** Leveraging our platform, they’ve automated this process to only take a few hours.\n\n### 👥 **The Team**\n\n[Asim Shrestha](https://www.linkedin.com/in/a-shrestha/) **(CEO)**: Former AWS software engineer specializing in internal backend services within RDS. Contributed to ML pipelines and open source ML projects at BC Cancer Research.\n\n[Adam Watkins](https://www.linkedin.com/in/awtkns/) **(CTO)**: Former software engineer at Article specializing in fulfillment logistics optimization. Worked in AI/ML at BC Cancer Research, developing ML deployment infrastructure for clinical nuclear medicine applications.\n\n[Srijan Subedi](https://www.linkedin.com/in/srijansubedi/) **(COO)**: Former program associate at Stemcell Technologies with the New Product Introduction team. Conducted research at The Centre for Heart Lung Innovation (HLI) focused on biologic therapy for individuals with severe asthma.\n\n## 🙌 **Our Ask**\n\n* If you or anyone you know is keen on leveraging AI agents to automate business workflows, [please sign up for our waitlist](https://6h6bquxo5g1.typeform.com/to/qscfsOf1) 😁\n* Have a tedious task you'd want to automate but don’t know if its possible? Email us at [founders@reworkd.ai](mailto:founders@reworkd.ai). We relish challenges and will explore solutions for you!",
        "url": "https://www.ycombinator.com/launches/J1r-reworkd-ai-the-open-source-zapier-of-ai-agents",
        "votes": 69,
        "created_at": "2023-07-18T06:58:49.499Z"
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    "id": 28759,
    "name": "Branch AI",
    "slug": "branch-ai",
    "former_names": [
      "Branch AI",
      "Apiflow"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6abe17a364c1113dea922a968293da0024ff5af.png",
    "website": "https://www.branch-ai.com",
    "all_locations": "Singapore, Singapore",
    "long_description": "Boost conversions & organic SEO traffic by adding AI to your search box, unlocking personalized answers, suggestions, comparisons & more\r\n\r\nSolutions\r\n- Add AI Overviews to Search (Boost Conversions) \r\n- Save Answers as Landing Pages (Boost Organic SEO)",
    "one_liner": "AI Overview Search, as a Service",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1708944337,
    "tags": [
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      "B2B",
      "Retail",
      "Search",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Retail"
    ],
    "regions": [
      "Singapore",
      "Southeast Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/branch-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/branch-ai.json",
    "year_founded": 2023,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/in/govindchandrasekhar/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
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        "user_id": 31801,
        "full_name": "Govind Chandrasekhar",
        "title": "Founder",
        "founder_bio": "Co-founder @ Branch AI (YC S23) | Previously co-founder @ Semantics3 (YC W13, acquired by Hearst Magazines) | ex Machine Learning lead @ Twitter (recommendations)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/govindchandrasekhar",
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      {
        "user_id": 3501,
        "full_name": "Ishan Agrawal",
        "title": "Founder",
        "founder_bio": "Co-founder @ Branch AI (YC S23). \nPreviously Group CTO @ Funding Societies (350M raised, scaled the company from Seed to Series D)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/ishanagrawal",
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    "jobs": [],
    "news": [
      {
        "title": "Former Funding Societies CTO Ishan Agrawal Launches YC-Backed Branch AI - Fintech Singapore",
        "url": "https://fintechnews.sg/89305/ai/former-funding-societies-cto-ishan-agrawal-launches-yc-backed-branch-ai/",
        "date": "Feb 26, 2024"
      },
      {
        "title": "Ex-Funding Societies CTO launches YC-backed ecommerce AI startup",
        "url": "https://www.techinasia.com/exfunding-societies-cto-launches-ycbacked-ecommerce-ai-startup",
        "date": "Feb 26, 2024"
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    ],
    "launches": [
      {
        "id": 78740,
        "title": "Branch AI - State-of-the-art Ecommerce search, instantly",
        "tagline": "Powered by AI that learns your catalog and tunes itself to drive conversions",
        "body": "### **The Problem**\n\n* [**Search queries are becoming more conversational**](https://blog.branch-ai.com/second-order-effects-of-ai-search-from-keywords-to-intent-63b3b9fa20e8) (ChatGPT effect). However, most Ecommerce retailers & brands still use keyword search tools resulting in lost revenue for tail queries.\n* Search providers give you tools to build search engines, **but leave relevance engineering up to you** (i.e. tuning of the search).\n* Tuning search to maximize conversions is [**complicated & expensive**](https://blog.branch-ai.com/what-it-takes-to-build-effective-search-8a2901a9a943) (involves stitching together embeddings, rankers, NLP models, heuristics & annotated feedback).\n* DIY embeddings and models are easy to experiment with. But building **production-grade deployments requires catalog-specific tuning**, which can unlock 20-30% better accuracy & conversions.\n\n### **The Solution**\n\n![uploaded image](/media/?type=post&id=78740&key=user_uploads/31801/a4c105e8-a6a6-41f0-977c-e09de9b09233)\n\n**Step 1 - Upload/Connect Catalog:** Upload a list of products or connect to an existing search database or platform (e.g. Elastic or Shopify).\n\n**Step 2 - LLM-powered Tuning**: This happens under the hood automatically. We use LLMs to train catalog-specific embeddings, rankers & query rewriters, bootstrapped from our proprietary Ecommerce-specific models.\n\n**Step 3 - AI APIs**: With zero effort, businesses get:\n\n1. _Search API_: Query → Ranked Products (for end-to-end query rewriting, hybrid retrieval & reranking)\n2. _Query Understanding API_: User Query → Catalog-Aware Query (for DIY query expansion/relaxation)\n3. _Embeddings API_: Query or Product → Catalog-specific Embedding (for DIY retrieval)\n4. _Reranking API_: Candidate Products → Re-ordered Products (for DIY precision improvements)\n\n**Step 4 - Preferences**: Users can control search behavior using:\n\n* _Merchandising Strategies:_ Execute smart strategies using simple instruction templates (e.g. “boost Apple Vision Pros to visitors looking for gifts”)\n* _Feedback:_ Demonstrate examples of preferred search results (models learn from these “few-shot”)\n* _Maintenance Jobs:_ LLMs periodically evaluate search results (e.g. for queries with zero results) and produce training data to fix gaps\n\n### **Our Ask**\n\n* If you want a better search with lower effort for your Ecommerce store, contact us via [email](mailto:govind@branch-ai.com) or [LinkedIn](https://www.linkedin.com/in/govindchandrasekhar/).\n* If you’d like a free evaluation of your site search, submit a request [on our website](https://www.branch-ai.com).\n\n### **About Us**\n\n* [Govind](https://www.linkedin.com/in/govindchandrasekhar/) was previously co-founder of [Semantics3](https://www.ycombinator.com/companies/semantics3) (YC W13), an Ecommerce catalog AI company, from 2011 to 2020.\n* Govind & [Praveen](https://www.linkedin.com/in/praveens07/) (founding engineer) built embeddings, rankers, and transformer-based sequence models at Twitter that directly drove 1MM+ DAUs.\n* [Ishan](https://www.linkedin.com/in/ishanagrawal/) was CTO at Funding Societies, the largest digital financing Fintech in Southeast Asia, where he built and scaled the technology and business from Seed to Series D.\n\n### **Our Vision**\n\nTo serve as an Ecommerce AI platform for brands and retailers. We already see that our models do better than mainstream alternatives at out-of-domain tasks like recommendations, assortment curation, insight extraction (from query text), marketing content generation (from query text), in-session personalization, and event-based ranking.",
        "url": "https://www.ycombinator.com/launches/KU0-branch-ai-state-of-the-art-ecommerce-search-instantly",
        "votes": 27,
        "created_at": "2024-02-26T15:56:38.525Z"
      }
    ]
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    "id": 28777,
    "name": "Twenty",
    "slug": "twenty",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.png",
    "website": "https://twenty.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Building a modern alternative to Salesforce: https://github.com/twentyhq/twenty",
    "one_liner": "Open Source CRM",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690850787,
    "tags": [
      "SaaS",
      "B2B",
      "Open Source",
      "Sales",
      "CRM"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/twenty",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/twenty.json",
    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/twenty/",
    "x_url": "https://twitter.com/twentycrm",
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    "cb_url": null,
    "github_url": "https://github.com/twentyhq/twenty",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2befcd73780fb4c29e4bd8bbf8222b0adb1020b3.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
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        "user_id": 767429,
        "full_name": "Félix Malfait",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/fmalfait",
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      },
      {
        "user_id": 1368642,
        "full_name": "Charles Bochet",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/charlesbochet",
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        "full_name": "Thomas des Francs",
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        "is_active": true,
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    "jobs": [
      {
        "id": 73895,
        "title": "Junior Product Designer - Intership Paris",
        "url": "https://www.ycombinator.com/companies/twenty/jobs/2OAbiTK-junior-product-designer-intership-paris",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Internship",
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        "role_type": "Product design",
        "salary_range": "€1.5K - €2K EUR / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 84715,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/twenty/jobs/jQaeiD0-product-designer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR / Remote",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "€5K - €7.5K EUR / monthly",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Molecular design",
          "Design systems",
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    ],
    "news": [
      {
        "title": "Twenty is building an open source alternative to Salesforce | TechCrunch",
        "url": "https://techcrunch.com/2024/11/18/twenty-is-building-an-open-source-alternative-to-salesforce/",
        "date": "Nov 18, 2024"
      }
    ],
    "launches": []
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    "id": 28780,
    "name": "Clearest Health",
    "slug": "clearest-health",
    "former_names": [
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      "Mano",
      "Mano AI",
      "Mano Health",
      "Mano Claims",
      "Mano Health"
    ],
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    "website": "https://clearesthealth.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Clearest Health is an AI-enabled revenue recovery platform for independent healthcare practices with underpaid out-of-network claims. Through verified IDR benchmarks, claim analysis, and audit-ready dispute support, Clearest helps providers strengthen No Surprises Act appeals and recover revenue that might otherwise be written off.",
    "one_liner": "AI revenue recovery for underpaid healthcare claims.",
    "team_size": 11,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1686714264,
    "tags": [
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      "Health Tech",
      "B2B",
      "Healthcare IT",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
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      "Healthcare IT"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
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      {
        "user_id": 276974,
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        "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of &gt;1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)",
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        "title": "🚀 Hyperbound: Sales Call Roleplay with Realistic AI buyers",
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        "body": "### [Live Demo Link](https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9)\n\n**TL;DR** Hyperbound is a simulated roleplay platform that turns your ICP descriptions into interactive AI agents in less than 20 minutes. Hyperbound ramps your reps faster and keeps them warmed up, increasing conversion rates on cold and discovery calls.\n\nTraditionally, it takes an average sales rep \\~400 cold call conversations to ramp up and consistently deliver the message in difficult situations. This organic process usually takes between 3 to 9 months. However, with Hyperbound, your reps can achieve that same level of proficiency in less than a week!\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/780bdcd3-23a7-4344-9482-de3c29ab1272)\n\n### **Long ramp and low conversion for your sales reps**\n\nEven with a parallel dialer, the best reps can only manage about 20 connections per day, resulting in approximately 3-5 conversations.\n\nIt takes an average cold-calling sales representative around 400 conversations to start meeting their quota, which traditionally could take anywhere between 3 to 9 months.\n\nHowever, reps who engage in daily roleplays during training, and to warmup before their calls have shown to meet their quotas up to 3x faster, and have a higher conversion rate.\n\n### **Your reps are forced to practice on your prospects**\n\nMastering cold and discovery calls is a challenging task that requires regular practice and reinforcement.\n\nBut here's the catch with roleplay. It's just awkward, eats up your managers' time, and puts a cap on how many reps each manager can handle.\n\nMost organizations lack the practice they need, forcing their representatives to practice on the few prospects they manage to connect with each day.\n\n### **Solution: The Hyperbound Platform**\n\nHyperbound is a simulated roleplay platform that can transform your Ideal Customer Profile (ICP) descriptions into interactive AI agents in less than 20 minutes.\n\nOur simulations allow your representatives to ramp up quickly and stay prepared, increasing conversion rates on cold and discovery calls.\n\nWith Hyperbound, your representatives can reach the 400 conversations they need ramp up in under a week.\n\n![uploaded image](/media/?type=post&id=77356&key=user_uploads/1403843/71c68268-3c8e-4486-9311-799a2a94d815)\n\n### **Features**\n\n* Create bots in less than 20 minutes to give your reps access to the wide range of personas you sell to. These bots accurately reflect the personalities, objections, opinions, and pain points your reps encounter.\n* Custom scorecards analyze performance on each segment of the call. Their consistency helps you get a unbiased picture of how each reps performance changes over time.\n* Your Manager Dashboard and Rep Leaderboards let you quickly identify A-players and those who need extra help.\n* Create Assignments to set goals for onboarding reps or for those warming up at the start of the day.\n\n### **Our Team**\n\nOur team is built of Sales Coaches, AI engineers, and engineers from Salesforce’s Einstein. Our product has only been possible for a few months now, and we’re so excited to be on the cutting edge of this simulation tech.\n\n### **Your team could be live on Hyperbound tomorrow**\n\nGet access to start building your own agents\n\n* Try Our Live Demo → <https://app.hyperbound.ai/buyers?invite=aB4eCpXzR9>\n* Interested how this could work for your org? Let’s chat → [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
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        "title": "🚀 Hyperbound: Hyper-personalize your sales emails at scale",
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        "body": "TL;DR **Say goodbye to generic templates—hyper-personalize your sales emails at scale with Hyperbound. Instantly research your prospects and link your company’s value prop to their specific needs.**\n\nWe research prospects from 40+ web sources, including LinkedIn, Google, TechCrunch, Gartner, Crunchbase, etc., and organize domain-specific data from tools like 6sense, ZoomInfo, Clearbit, and your chosen CRM. Our AI creates individual personas for each prospect and customizes a personalized sales email campaign in your voice to address their pain points and preferred communication style. Strict guardrails ensure reliably high-quality output, ready to send with your sales enablement platforms (Outreach, Salesloft, Apollo, HubSpot, etc) without the need for additional review.\n\n### 🚀 Our Team:\n\nHello World! We’re Atul and Sriharsha, the team behind Hyperbound! We’ve been close friends since high school. We have worked on everything from the ML behind Meta’s Ad Personalization to Salesforce’s Einstein Chatbots. We’re putting all our Salestech and NLP research experience into building the next generation of content personalization!\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/ab287a55-7651-44d2-81a9-93ea9fb14d14)\n\n### 🧨 The Problem: Personalization isn’t scalable\n\n* **Sales emails, especially for B2B sales, must be personalized** to stand out in a crowded inbox. In B2B sales, time spent at the outbound stage can have a massive ROI. More high-quality outbound emails → more chance of contacting the lead that will convert.\n* **Personalized sales emails have at least **[**double**](https://woodpecker.co/blog/cold-email-statistics/#double-your-email-reply-rate-with-advanced-personalization)** the response rate** as basic templated emails, but researching your prospects and drafting exceptional personalized sales emails takes time.\n\n### 💡Our Solution: Reliably High-quality Automatic Personalization\n\nBook a demo at: [hyperbound.ai](http://hyperbound.ai)\n\n![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/32f0bfd5-7f8e-45d1-a0a5-907d38252e83)\n\n* Research, generate, and launch hundreds of personalized email campaigns with one click\n* Integrate with your sales enablement tools, industry-specific data enrichment, and CRM of choice (ex: Outreach, ZoomInfo, Salesforce)\n* Maintain your voice — your emails sound like you!\n* Automatically identify personas and adjust messaging experimentally\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/0406c269-1d99-49ad-ab51-e781c3c7fd04)\n\n  * Connect your solution with the specific pain points of each prospect for optimal engagement\n  * Subject lines that are tuned to the psychology of each prospect\n  * Data-driven modeling adjusts email and subject wording for each persona\n* Improve your custom AI engine with natural language feedback\n\n  ![uploaded image](/media/?type=post&id=73368&key=user_uploads/1403843/84797afe-ef58-47cb-93df-dd22716c544f)\n\n* Enjoy tough guardrails — brand-safe messaging without hallucinations\n\n### 👋 Our Ask:\n\n* Reach out today to get access to our latest email personalization algorithm! Let us know if you’re interested in a pilot. Bonus points for feedback!\n* Have an outbound email campaign? Know anyone who does? Ask them to book a demo at [hyperbound.ai](http://hyperbound.ai) or drop us a note at [founders@hyperbound.ai](mailto:founders@hyperbound.ai)",
        "url": "https://www.ycombinator.com/launches/J5M-hyperbound-hyper-personalize-your-sales-emails-at-scale",
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        "created_at": "2023-07-24T19:12:59.775Z"
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        "url": "https://www.ycombinator.com/companies/readily/jobs/oPocn1w-compliance-program-manager",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Devops",
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        "tagline": "We help healthcare organizations find and close compliance gaps in hours not weeks.",
        "body": "# **tl;dr:** Readily helps healthcare organizations stay compliant as requirements become more complex. We connect their policies with regulations, making it drastically easier to find and close gaps.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctpwpG1HfM12TBrl0_RXm7AOCE4BaRe-5VI_V3OaXJhtS2HRILw_YIdECGRLAeM2kHq-1GF7dfHD5_oeI3QgXS80w4hiJGViuj4YcBAiWb7Dgb3Ld1_BP9Sx1XobQqgRUjNhHNwxgpJRu-wCJMQNEg09BN?key=WOtv3UHkF8eR-G9ONpZmyQ)\n\n# **Problem**\n\nHealthcare organizations face growing backlogs and [**fines of up to $55M**](https://www.dhcs.ca.gov/formsandpubs/publications/oc/Documents/DMHCDHCS-JointPressRelease-LACare-Accusation-030422.pdf). It's getting harder to stay compliant as **requirements increase 30% every year** - many of which are frustratingly vague, leaving staff overworked.\n\nStaff spend hours sifting through 100,000 pages of policies and regulations, finding specific references on how to stay compliant. But as their tasks grow in volume and complexity, **Excel and PDF search just don’t cut it anymore**.\n\n# **Solution**\n\nReadily makes **compliance straightforward** for healthcare organizations.\n\n![uploaded image](/media/?type=post&id=83298&key=user_uploads/318129/784c1efe-98f4-4579-ab1d-57a5f6055010)\n\nWe connect their policies with regulations and **surface pertinent information** as their staff conduct research, analyze gaps, or prepare for audits.\n\n> _It used to take me 10 hours to review an All Plan Letter, and a junior staff twice as long. This saved me hours!” - Manager, Regulatory Affairs_\n\nFor any new requirement, we identify which departments, policies, and procedures are impacted and **what actions are needed to stay compliant**. This saves them hours of work and helps prevent costly violations.\n\n# **Ask**\n\nShare Readily with anyone you know in facing similar challenges keeping up with healthcare compliance or reach out to us (founders@readily.co). We'd love to help.",
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        "founder_bio": "Co-founder of Prosper,  building AI agents to fix healthcare's $200B admin burden. Previously Product leader at Coverwallet (acq. by Aon), where I led the Insurance Health initiative that drove the acquisition, scaling the team from 3 PMs to 40+ and 200+ engineers. Co-founder of Arcvi, an AI consulting firm across Insurance, Health and Banking - top 2% in the Data Science Bowl for lung cancer image prediction. Former MIT Computer Vision research assistant.",
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        "title": "Founding Senior Account Executive",
        "url": "https://www.ycombinator.com/companies/prosper/jobs/okQVFc8-founding-senior-account-executive",
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        "url": "https://www.ycombinator.com/companies/prosper/jobs/ZWHDKM0-founding-business-development-representative",
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        "url": "https://www.fiercehealthcare.com/ai-and-machine-learning/prosper-ai-lands-30m-backed-andreessen-horowitz-build-ai-workforce",
        "date": "Jun 22, 2026"
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      {
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        "url": "https://www.forbes.com/sites/charliefink/2025/09/23/prosper-ai-raises-5-million-to-fix-healthcares-450-billion-admin-crisis/",
        "date": "Sep 23, 2025"
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    "id": 28835,
    "name": "Synch",
    "slug": "synch",
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    "website": "https://www.withsynch.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Your Sales and Sales Ops team in a unified platform. No setup, Salesforce SSO and go.",
    "one_liner": "Supercharging Sales",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1690569248,
    "tags": [
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    "status": "Inactive",
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    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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      {
        "user_id": 1124702,
        "full_name": "Daniel Ruiz",
        "title": "Founder",
        "founder_bio": "CEO at Synch. Previously Compound & Divvy Homes.",
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        "linkedin_url": "https://linkedin.com/in/daniel-ruiz-a73818aa",
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      {
        "user_id": 236293,
        "full_name": "Asad Dar",
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        "linkedin_url": "https://www.linkedin.com/in/asadsdar/",
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      {
        "id": 79313,
        "title": "Synch: Unified sales stack",
        "tagline": "Your all-in-one revenue platform. No setup required, Salesforce SSO and go.",
        "body": "Hey everyone, we’re [Asad](https://www.linkedin.com/in/asadsdar/) and [Daniel](https://linkedin.com/in/daniel-ruiz-a73818aa) from [Synch](https://www.withsynch.com/)!\\\n[ ](https://www.youtube.com/watch?v=PiHGtnI5qps)\n\n# What is Synch?\n\nSynch is a unified sales platform for both your Sales and Sales Ops teams. We work out of the box with Salesforce with no implementation time required.\n\n# **The World Today**\n\nRevenue tech is incredibly fragmented. Almost everyone uses Salesforce, but they don’t build auxiliary products well. This has led to a long tail of point-solution companies that only handle tiny portions of the sales team’s workflows. You buy one product for forecasting, one for pipeline management, another for lead routing, etc.\n\nAdditionally, even though all these point solutions pull customer data from a common spot (Salesforce), none of them \"talk to each other.\"\n\nWe are building a company that gives you each of those SKUs while also giving you the tools to manage your SFDC environment. We want you to spend less time worrying about your tools and systems and more time worrying about your leads and prospects.\n\nIn our previous roles, it became increasingly clear that more time was spent on non-revenue generating activities than selling. Sales leadership spends an inordinate amount of time managing their tech stack, evaluating new vendors, and training their team on using tools - all at the expense of closing deals. \n\n# **Our Solution**\n\n**For your Sales team**, we offer many different SKUs with a shared analytics suite so leaders can spend less time evaluating multiple vendors. Today, we offer forecasting, deal review, pipeline management, alerts, lead assignment, and other features that require zero implementation time. We share data between these products so information from our dashboarding tool (AE demo conversion rates) can automatically adjust your round-robin setup in your lead routing tool — \"Turn my round robin into a 55-45 in favor of Tommy because he has a better close rate over the last two weeks\", as an example.\n\n**On the SalesOps side**, we provide you with tools to manage and maintain your SFDC instance. You can turn plain-text inputs into built-out Apex Code or flows, get robust dashboards with only a few clicks, and manage your Salesforce schema without ever needing to go into Salesforce.\n\n**All of this works out of the box with SFDC. Just SSO & Go.**\n\n**Ask**\n\n[Feel free to grab time directly on my calendar here](https://calendly.com/danielsynch) if you want to learn more, or check out our blog post: [https://www.withsynch.com/blog/announcing-synch.](https://www.withsynch.com/blog/announcing-synch)",
        "url": "https://www.ycombinator.com/launches/KdF-synch-unified-sales-stack",
        "votes": 15,
        "created_at": "2024-03-12T16:09:27.955Z"
      },
      {
        "id": 73639,
        "title": "Magik: Your AI-powered Salesforce admin",
        "tagline": "Spend less time managing your CRM, and more time running your business",
        "body": "Hey everyone! We’re Asad Dar and Daniel Ruiz from [Magik](https://www.usemagik.com/)!\n\nMagik automates Salesforce workflows and data reports using AI, allowing you to get insights from and build your CRM in a fraction of the time.\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/5bcc28c8-1998-4ebe-bcec-6a22a31ab085)\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/846cf470-60c1-47cf-b404-a5d6e28988b2)\n\n# **Why we built Magik**\n\nSalesforce is complicated!\\\nCRMs and the customer data inside are essential for companies, yet most people don’t have experience with them. \n\nJunction objects, validation rules, and record-triggered flows sound confusing, and founders are intimidated. As a result, they turn to individuals with Salesforce certifications and address the problem in two main ways:\n\n1. Hire a consultancy firm for $100-$200/hr. \n   1.  Your company hires an expensive consultant with misaligned incentives on how quickly the work should get done.\n2. Hire an FTE\n\n**Both of these solutions are slow to implement and expensive to maintain.**\n\n# **Our Solution**\n\nWe leverage GPT models to streamline, simplify, and automate Salesforce workflows so that anyone can do the work of an expert-level RevOps employee. Our product allows users to build in Salesforce 15-25X quicker than before and receive recommendations they can automatically enable.\n\n# **How does it work?**\n\n* 🔗 **Connect** - Use Salesforce SSO to connect your environment to Magik.\n* 📩 **Get Recommendations** - Once connected, Magik will make suggestions based on the event data in your environment.\n* ✅ **Take action** -  Use natural language to describe your desired actions, and let Magik build them for you. Whether pulling data queries, automating workflows, or creating data visualizations, Magik helps you get it done in a fraction of the time.\n\n  ![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/9b6beba2-25ff-4593-9ee2-71c73dd49de4)\n\n\n![uploaded image](/media/?type=post&id=73639&key=user_uploads/1124702/1b3907da-61f7-4969-b675-f9a0ab32292f)\n\n# **Ask**\n\nWe’d love to hear from you! \n\nIf you currently use Salesforce or are considering it in the future, we could save you a significant amount of time and money 🙂, and ensure your CRM setup is perfect for your business.\n\n\\\nYou can email [founders@usemagik.com](mailto:founders@usemagik.com) for more information, grab time for a demo [here](https://calendly.com/danielmagik), and check out our [website](https://www.usemagik.com/).",
        "url": "https://www.ycombinator.com/launches/J9j-magik-your-ai-powered-salesforce-admin",
        "votes": 13,
        "created_at": "2023-08-01T14:52:06.353Z"
      }
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    "id": 28837,
    "name": "Subsets",
    "slug": "subsets",
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    "website": "https://www.subsets.com",
    "all_locations": "Copenhagen, Denmark",
    "long_description": "Subsets is the leading lifecycle growth platform for consumer subscription teams.\r\n\r\nWe are building the AI decisioning layer that unifies and powers the existing growth stack, enabling teams to automate and scale lifecycle experimentation, orchestrate personalized user journeys, and measure impact across retention, engagement, and LTV without engineering support.\r\n\r\nTrusted by consumer subscription businesses like The Atlantic, NBCUniversal, Daily Mail, Matas Group, and Hearst.\r\n\r\nSubsets has raised $6.1m and launched out of Y Combinator’s Summer 2023 batch in San Francisco, and is now based in Copenhagen.",
    "one_liner": "AI-driven Retention Automation for subscription media businesses.",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689562154,
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    "country": "DK",
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        "user_id": 783105,
        "full_name": "Martin Johnsen",
        "title": "Founder",
        "founder_bio": "Martin is the co-founder and CEO of Subsets (S23). Previously worked in management consulting helping large organizations scale AI initiatives across different business functions and industries. Holds an MSc in Mathematical modeling from The Technical University of Denmark. ",
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      {
        "user_id": 868323,
        "full_name": "Oliver Brandt",
        "title": "Founder",
        "founder_bio": "Oliver is the co-founder and CTO of Subsets.com (S23).",
        "is_active": true,
        "linkedin_url": "https://dk.linkedin.com/in/oliver-brandt-93b1b8110",
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      {
        "user_id": 1190102,
        "full_name": "Nikolai Skelbo",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Subsets. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nikolaiskelbo",
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      {
        "id": 105383,
        "title": "Account Executive - Enterprise",
        "url": "https://www.ycombinator.com/companies/subsets/jobs/rCbPOAE-account-executive-enterprise",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$180K - $300K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
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    "news": [
      {
        "title": "Subsets helps subscription businesses reduce churn with ‘retention experiments’ and explainable AI | TechCrunch",
        "url": "https://techcrunch.com/2024/02/27/subsets-uses-explainable-ai-to-help-subscription-media-companies-reduce-customer-churn/",
        "date": "Feb 27, 2024"
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      {
        "id": 73123,
        "title": "Subsets – The AI retention co-pilot for subscription businesses",
        "tagline": "We help consumer subscription businesses improve retention and make subscribers stay longer.",
        "body": "⌛️ **TL;DR**: Subsets makes it simple to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Our solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\nHi everyone! We are Oliver, Martin, Matias, and Nikolai - the co-founders of [Subsets](http://www.subsets.com).\n\n![](https://lh5.googleusercontent.com/Yuh27xND-dD2BFgP7TFtBnzQLiE540bgly9YdC26PzZ0LSep6C6K3t4sm4TnxdQWM2mKwH0ZxlWjaTzWgaeHm3chv-cOZa9_0L6Rv2GxjEM5_MFG0KnIVK3uA26Qj_N9pioUE949cuSSLTyD7VyvacY)\n\n_from left to right._\n\n**_Oliver_** _leads machine learning and AI development; graduate in machine learning, previously worked as an ML engineer._\n\n**_Martin_** heads the company; graduate in machine Learning, worked in management consulting for two years helping companies scale AI applications. \n\n**_Matias_** carries engineering at Subsets; CS graduate, software engineer in both venture scale-up and big tech (Amazon and Microsoft). \n\n**_Nikolai_** _drives growth and operations; experience with growth (ABM & marketing automation) and revenue operations at a fast growing SaaS scale-up._\n\n**🫠 The Problem**\n\n* Healthy consumer subscription businesses lose 20-40% of their subscribers annually\n* Think about a subscription you have personally - subscribers are flooded with impersonal and irrelevant information which does not encourage active engagement\n* CRM teams do not have solutions available to figure out what the subscriber needs right now to make the most out of their subscription\n* Current AI retention solutions are built for engineers, not commercial people\n\n**💡 The Solution**\n\n_Subsets is The AI retention co-pilot for subscription businesses_\n\nWe enable CRM teams to understand, engage, and retain subscribers by enabling personalized and proven retention initiatives based on AI. Initiatives that work get automated and run continuously on dynamic subscriber audiences. By knowing what initiatives work across different subscription businesses, Subsets can recommend initiatives that give ROI fast.\n\n_Understand, engage, retain by learning from experimentation_\n\n![](https://lh4.googleusercontent.com/m_beqEsY3ABmu53JrkAj5YYaHcCNvJBwRDmlGqS6ofA6PLJecveNU8n5u0-_nUQ1fMHRmXyuzcsOdPtletoYUnsOgTyIEMvfVYmpUxzTEay1BEgMRvFmOYeRCpn9hXhU-Gu_jFqq74HuzZa6xaj6FLk)\n\n![](https://lh6.googleusercontent.com/ZzbJxXa23lKZAWO1Wioh6UHlU834Sf9__lovSz1ZxjZOaDSwEpwLFwVHGJoV0Xs1TeTRRb-Lf4vIxWEHNGy7CtD5zZWlBKhZvduP2kkYt98pobuvi078zfgZbgfokIfUaSK-mNY6kNo54Se7woMtjj4)\n\n![](https://lh5.googleusercontent.com/YnhYcAnQdgkZlMn_tzyB2QyHZkQBcv2sIHcxO3vLat6IPP602dPNlUmVHcujl7erjzHRk1syzYhPzMdu4IE1bF2kS_5m_6LXaRCzRAojnAItcCXvX8piINPg2KzOLaSVLtp4tEB8mYFI4qUkyhRuqBM)\n\nOur solution helps leading subscription businesses increase CLV by +20% and extend subscriber lifetime up to 6 months.\n\n**🙌 Our Ask:** Intros to consumer subscription businesses\n\n* **Users:** If you know anyone who works in consumer-focused subscription businesses, we would like to talk to them and share what we are building! You can introduce us at [martin.johnsen@subsets.ai](mailto:martin.johnsen@subsets.ai)\n* **Pilots:** If you are interested in using Subsets, feel free to sign up on [www.subsets.com](http://www.subsets.com) or reach out directly to the founders at [founders@subsets.com](mailto:founders@subsets.com)\n* Follow [Subsets on LinkedIn](https://www.linkedin.com/company/subsets/) if you find it interesting\n\n \n\nThanks a lot for reading!",
        "url": "https://www.ycombinator.com/launches/J1P-subsets-the-ai-retention-co-pilot-for-subscription-businesses",
        "votes": 34,
        "created_at": "2023-07-17T03:32:48.291Z"
      }
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  {
    "id": 28844,
    "name": "Alguna",
    "slug": "alguna",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e2a3ced5969028060bbaaf152193b5b6a2b3982.png",
    "website": "https://alguna.com",
    "all_locations": "London, England, United Kingdom; Remote",
    "long_description": "We are Alguna, building a modern platform that helps B2B companies price deals, send quotes, bill customers, and collect payments - all in one place.\r\n\r\nOur mission is to create the most efficient revenue engine for B2B SaaS.\r\n\r\nToday, many companies run these processes with spreadsheets and a patchwork of separate tools. That leads to slow approvals, manual work, mistakes, and missed revenue—especially as pricing gets more complex.\r\n\r\nAlguna replaces that mess by connecting the entire flow from **quote to cash**: what sales sells becomes what finance bills, automatically. We help teams automate invoicing, handle usage-based or custom pricing, and reduce back-and-forth between sales, finance, and engineering.\r\n\r\nThe result: growth-stage startups and enterprises can close deals faster, bill accurately, and scale revenue operations without adding headcount or building internal systems.\r\n",
    "one_liner": "AI-Native CPQ & Billing for Modern Pricing Models",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1691026781,
    "tags": [
      "Fintech",
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      "AI"
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    "batch": "Summer 2023",
    "status": "Active",
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      "Europe",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "**What is the core problem that Alguna solves?**\r\n\r\nB2B companies struggle to turn what sales sells into what finance can reliably bill and collect.\r\n\r\nPricing, quoting, contracts, usage, invoicing, and payments often live in different tools—and the “glue” is spreadsheets, manual approvals, and one-off engineering work. As soon as a company introduces custom terms (discounts, ramps, multi-year deals, usage-based pricing, credits, multi-entity billing), the process breaks down: quotes don’t match invoices, billing becomes manual, and finance is stuck cleaning up exceptions every month.\r\n\r\nAlguna solves this by providing a single platform that unifies **pricing, CPQ, billing, invoicing, payments, usage metering, and collections automation** into one **quote-to-revenue** system.\r\n\r\n**Why is this a big problem?**\r\n\r\nBecause revenue operations scale poorly when the infrastructure is fragmented.\r\n\r\nThe impact is measurable:\r\n\r\n\\- **Revenue leakage:** missed invoices, incorrect pricing, unbilled usage, and manual errors compound over time.\r\n\r\n\\- **Slower deal cycles:** approvals and “can we even bill this?” questions delay closing.\r\n\r\n\\- **High operational cost:** finance and revops teams spend their time reconciling systems instead of controlling revenue.\r\n\r\n\\- **Engineering dependency:** product teams get pulled into custom billing logic, integrations, and edge cases.\r\n\r\n\\- **Harder forecasting and reporting:** when the source of truth is scattered, finance cannot trust the numbers.\r\n\r\nAs more companies adopt **usage-based**, **hybrid**, and **AI-driven** pricing models, the gap between modern monetization and legacy revenue stacks keeps widening.\r\n\r\n**What made you decide to work on it?**\r\n\r\nWe saw the same pattern across fast-growing B2B teams: the product and go-to-market motion moves quickly, but the revenue stack stays stuck in old systems built for simpler subscriptions.\r\n\r\nTeams end up running “mission-critical revenue” on spreadsheets and disconnected tools—because replacing them is painful, and building in-house is expensive and distracting. Yet the cost of doing nothing is continuous: every custom deal creates more manual work, more risk, and more leakage.\r\n\r\nAlguna exists to modernize that foundation. We’re building the revenue management engine B2B companies need to sell flexibly, bill accurately, and scale without chaos—by unifying the quote-to-revenue lifecycle and automating the back office."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We will know Alguna succeeded when **B2B monetization stops being a patchwork of spreadsheets, PDFs, and disconnected tools**—and becomes a single, programmable revenue engine that companies can run with speed, precision, and confidence.\r\n\r\nThe world today is stuck with legacy revenue stacks that were built for simpler subscription businesses. Meanwhile, selling is changing fast: companies sell across **PLG (self-serve), SLG (custom quotes), and enterprise procurement**, pricing models are shifting toward **usage, hybrid, credits, and outcome-based**, and deep integrations + two-way sync across systems are becoming table stakes. In that environment, “good enough” billing and CPQ breaks down.\r\n\r\nAlguna’s vision is to become the **one source of truth for revenue**—the system that orchestrates pricing, quoting, contracting, usage, billing, invoicing, payments, and collections end-to-end.\\\r\n\\\r\nWhat will be different about the world\r\n\r\n**1) Revenue operations becomes “real-time” and automated**\r\n\r\n* Quotes turn into clean billing schedules automatically.\r\n* Usage becomes billable without manual reconciliation.\r\n* Invoices and collections run with far fewer human interventions.\r\n* Finance teams stop doing back-office cleanup as a permanent job.\r\n\r\n**2) Pricing evolves as quickly as the market**\r\n\r\n* Teams can run pricing experiments safely across channels.\r\n* Guardrails and approvals are built-in, not enforced by spreadsheets.\r\n* Companies avoid pricing drift, one-off logic, and costly exceptions.\r\n\r\n**3) Selling becomes faster, with less internal friction**\r\n\r\n* Sales can confidently sell complex deals without engineering dependency.\r\n* Deal desks can scale without becoming a bottleneck.\r\n* Enterprise flexibility is supported without creating operational chaos.\r\n\r\n**4) Businesses scale with smaller teams and higher reliability**\r\n\r\n* A 10-person team can grow rapidly without inheriting a brittle revenue stack.\r\n* Forecasting becomes more trustworthy because the underlying system is consistent.\r\n* Revenue leakage becomes the exception, not the norm."
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      {
        "id": 76099,
        "title": "Alguna – Modern pricing, quoting & billing platform",
        "tagline": "We help companies increase revenue and close more deals, faster. ",
        "body": "# **📝 TL;DR:**\n\n> [Alguna](https://alguna.io) is a modern pricing, quoting, and billing platform for B2B SaaS. Companies use it to unify the quote-to-revenue process by automating complex and manual back-office operations. [Book a demo](https://alguna.io) to learn more.\n\n# **❌ Problem**\n\nAs companies grow, they want to offer more customized deals to their larger customers, capture data around product usage, forecast revenue, and experiment with pricing. As they scale, instead of graduating to better tools, they default to using spreadsheets and manual processes to connect single-point solutions.\n\nAfter interviewing over 100 company leaders, we’ve seen what consequences information siloes and fragmented solutions can have on the companies’ growth trajectories. \\\nFrom light issues like hiring people to copy/paste data between systems to fundamental ones like not trusting your revenue data or asking your customers to tell you how much they used your product.\n\n> _In times of growth at all costs, companies could’ve turned a blind eye to these imperfect workflows; however, as 2023 loomed over the whole SaaS world, these revenue-impacting inefficiencies represent the line between company survival and the slow death of running out of money without even realizing it._\n\n# ✅ **How Alguna works**\n\nOur core premise is to enable our customers (growth-stage startups and enterprises) to flexibly close more deals faster without worrying about internal limitations and relying on finance and engineering teams.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/9b1a2f85-6a49-4420-8839-23d7193526fa)\n\n> We’ve built **an end-to-end solution** covering the whole customer lifecycle while **complementing** existing **sales** (CRMs), **finance** (ERPs/Accounting), and **engineering** tools.\n\n**Configure pricing & create custom quotes**\n\n* Set up pricing and packaging across all sales channels while supporting any pricing model (including subscriptions, usage-based, platform fees, etc.)\n* Create the most customizable plan options with custom product billing options, one-off integration fees, special discounts, and complex renewal terms.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/d5c62cfa-bb64-45bd-b544-4ff878cbc363)\n\n**Streamline the contract signature flow**\\\nAlguna provides an embedded signature experience directly from the proposal you send customers. This is then automatically connected to tools upstream (CRMs) and downstream (ERPs), enabling the cohesive external (prospects/customers) and internal experience.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f722da69-f9ef-4655-be51-676d57731dbb)\n\n**Seamless and reliable invoicing experience**\\\nSince the pricing models and quotes are natively integrated, everything is automatically connected with the billing engine, enabling the accurate and reliable customer billing experience directly via Alguna or ERP tools of your choice (Stripe Invoicing, Netsuite, Xero, Quickbooks, Bill)\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/8802ecb0-928d-4ff8-9bf2-d6593fae75a3)\n\n**Source of truth for revenue metrics** \\\nEmpower sales and customer success teams with usage data to drive more revenue and unlock new upsell opportunities with real-time revenue data.\n\n![uploaded image](/media/?type=post&id=76099&key=user_uploads/1225753/f34387fc-134a-471f-bba3-0d38d1e992f8)\n\n# **🏟️ Why us**\n\nWe ([@Jamie MacLeod](https://www.linkedin.com/in/jamie-macleod/) & [@Aleks Đekić](https://www.linkedin.com/in/aleksdjekic/)) met at a fintech startup where we helped scale the payments and automation teams and products. While trying to launch new products, we experienced this problem firsthand and decided to solve it once and for all. Previously, [@Aleks](https://www.linkedin.com/in/aleksdjekic/) led the product development of internal tools _just like_ Alguna for a 600-person commercial team at one of Europe's fastest-growing payment processing companies.\n\n# **🚀 What’s next?**\n\n> **_We’re on a mission to build the most efficient revenue management engine covering the whole customer lifecycle._**\n\n* [Book a demo](https://alguna.io) if you want to learn more about Alguna.\n  * Refer us to anyone you know who could benefit from our solution via [founders@alguna.io](mailto:founders@alguna.io)\n  * If you’d like to share insights and feedback, our inbox is always open.\n* Follow us on [Twitter](https://twitter.com/AlgunaHQ) or [LinkedIn](https://www.linkedin.com/company/algunahq) for new product updates and revenue management best practices.",
        "url": "https://www.ycombinator.com/launches/JnP-alguna-modern-pricing-quoting-billing-platform",
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    "long_description": "Punchcard is a system designed for assurance engagements like financial statement audits and SOX control programs. Purpose-built for selecting, requesting, and testing audit evidence. Punchcard leverages assertion-driven AI agents that perform testing procedures from natural language instructions—just like an audit associate.\r\n\r\nBy combining critical workflows such as audit planning, client document requests, evidence testing, and workpaper documentation into one seamless platform, Agentive streamlines audit processes, reduces inefficiencies, and frees teams to focus on high-impact areas.",
    "one_liner": "Agentive assurance system for auditors, risk consultants, and clients.",
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    "url": "https://www.ycombinator.com/companies/punchcard",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/punchcard.json",
    "year_founded": 2023,
    "city": "Provo",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/goagentive",
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        "full_name": "Daniel Alberson",
        "title": "Founder/CEO",
        "founder_bio": "Daniel Alberson is the co-founder and CEO of Punchcard. Daniel started his career as an auditor and product manager at Ernst & Young after graduating with a Bachelor in Accounting from BYU. He then dropped out of Northwestern's Master in Product Design to join Facebook as a product manager for augmented reality glasses.\n\nHe's leveraging his unique experience as an auditor and product manager to transform the auditing profession.",
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      {
        "id": 88440,
        "title": "Agentive—Audit Requests Clients Love",
        "tagline": "Meet Agentive, the AI Workspace for Auditing and Client Collaboration.",
        "body": "**TL;DR** Agentive completely redesigned document requests to eliminate confusion and unnecessary busy work—reducing client rework by 25% and streamlining audits. Uploaded documents become AI-drafted workpapers aligned with your firm’s templates, cutting review time by 90%.\\\n<https://youtu.be/7V5hTATJm3E>\n\n# **Improving the client-auditor relationship, one request at a time**\n\nThe toughest part of an audit isn’t issuing the opinion—it’s getting the right documents on time. Existing solutions still confuse clients, require significant training, and lead to re-work that strains relationships. Agentive set out to change this by making document requests seamless and user-friendly.\n\n# **The current frustration**\n\nRequesting documents (often called a PBC list – “Provided By Client” list) can be a nightmare:\n\n1. **Confusing User Interface:**\n   * Clients often need training just to see what’s outstanding and upload a document.\n2. **Unorganized Sample Requests:**\n   * For example, a client might receive a request with an Excel file listing 25 expenses, each expense needing multiple pieces of evidence (like invoices and bank statements).\n   * They must gather and upload all evidence into an unorganized folder. This disorganization leads to many mistakes and re-work that can be prevented.\n   * Auditors often take days—or even weeks—to review documents provided by the client; they must match each file to its correct item in the sample. Any missing or incorrect evidence requires re-work from the client.\n3. **Constant Follow-Ups & Strained Relationships:**\n   * Every missing document adds friction, but the longer it takes for clients to learn about mistakes, the more pain it causes.\n   * Hours are lost chasing missing documents, leaving clients feeling nagged and auditors drained.\n\nThis **painful status quo** has been accepted as “just part of auditing” for far too long. Clients dread it, and firms worry that each request for info might annoy their client. The result? A process that should be straightforward often drags on with frustration on both sides.\n\n# **The purpose-built solution**\n\nWhat if providing audit evidence required zero training—and even felt satisfying? Enter Agentive’s new request flow, purpose-built to eliminate friction in auditing.\n\n1. **Request with Samples**\n   * **Native Itemized Requests:** Instead of downloading an Excel file to view the items in the sample, Agentive natively integrates the sample table into the request.\n   * **Precise Uploads:** Clients attach specific evidence at the intersection of each sample row and document request column—eliminating guesswork and simplifying review.\n\n   ![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/c3416ec7-7d91-4d2f-a49e-bd39a4474dbe)\n\n2. **Engagement Board View**\n   * **Instant Visibility:** Both auditors and clients see requests by status and category at a glance with drag and drop updates.\n   * **Satisfaction:** Clients enjoy checking off completed items, ensuring everyone knows what’s done and what’s outstanding.\n3. **Auditor Review Improvements**\n   * **Flexible Upload**: Whether clients upload files one-by-one or in bulk, AI matches each document to the correct sample item—even in multi-page scans.\n   * **Instant Citations**: Every value is automatically located within uploaded documents, with one-click navigation to its exact location.\n   * **90% Faster Review**: AI-powered matching, detail testing, and analysis, let auditors quickly spot missing or insufficient documentation, slashing follow-up time with client.\n\nImagine your next audit kickoff: your client opens Agentive and says, **“Oh, this is nice!”** Instead of groans and procrastination, they begin right away—confident about what you need. Each step is transparent and even rewarding as they see their progress. What once felt like pulling teeth becomes a smooth collaboration.\n\n# **Available Now: AI-Drafted Audit Procedures**\n\n**In this post, our focus is on you and your clients**, and making sure the foundation of every audit – collaborating with the client – is as smooth and organized as possible. As former auditors, we’re equally dedicated to improving auditor job satisfaction. We do this by listening to you, our users, and solving your problems with **human-centered design** and **artificial intelligence.** Every document uploaded in a client request can easily be transformed into your firm’s audit workpaper template through our **AI-powered** document matching and AI prompts. We’re incredibly proud these workflows are set up in a few clicks and workpapers are ready for review in less than a minute after every client upload.\n\n# **Ready to Delight Your Clients?**\n\n[**Schedule a demo**](https://goagentive.com/) or email [founders@goagentive.com](mailto:founders@goagentive.com) to see how Agentive can elevate your firm for both clients and auditors.\n\n![uploaded image](/media/?type=post&id=88440&key=user_uploads/1097859/5d75969b-9c44-479e-a96f-00db77d0df43)\n\n",
        "url": "https://www.ycombinator.com/launches/N0S-agentive-audit-requests-clients-love",
        "votes": 18,
        "created_at": "2025-03-10T21:00:24.202Z"
      },
      {
        "id": 72821,
        "title": "Agentive: AI-powered copilot for auditors",
        "tagline": "We help accountants analyze financial records, perform audit procedures, and draft documentation in seconds.",
        "body": "Hi everyone, we’re Agentive.\n\n**TL;DR** Agentive helps auditors unlock growth by shortening the time to perform audits. Auditors use our AI-powered copilot to analyze financial records, perform audit procedures, and draft documentation with 10x efficiency. If you’re an auditor, get in touch at [goagentive.com](http://goagentive.com)!\n\n**Problem**\n\nAudit staff spend 40% of their time searching, extracting, and manipulating data during audit procedures. And another 20% is spent preparing audit documentation. While it’s gotten easier to work with evidence provided by clients over the years thanks to OCR and other semi-automation solutions, it’s still painful. These audit procedures are rather standardized across clients and documentation is often identical year over year at the same client with only the current year data changing. The desire of audit staff to be involved in audit strategy is often in conflict with the amount of manual work that needs to be done at firms. This contributes to the high turnover in audit staff and the shortage of accountants entering the profession.\n\n**Team**\n\nWhile working as an auditor at EY, Danny Alberson felt underutilized due to the repetitive work involved in auditing. Nathan Turnbow, co-founder and CTO, built the first AI-powered education platform at Imagine Learning and honed his risk expertise as a cyber security engineer at Dell. Jason Draper, technical co-founder, led teams as an officer in the US Air Force and is a second time founder. Together, they're building Agentive to help auditors automate procedures and spend more time on audit strategy.\n\n**Solution**\n\nAgentive addresses this challenge by training large language models that cater to accounting and audit use cases. Agentive provides an in-browser spreadsheet editor and document viewer where auditors use natural language to have Agentive’s copilot analyze evidence, perform procedures, and draft documentation with 10x efficiency. It’s like working with ChatGPT during your audit. To review AI generated data we make it really easy to trace results back to their source. This not only speeds up preparing documents by audit staff but increases the efficiency of management and partner reviews as well.\n\n![uploaded image](/media/?type=post&id=72821&key=user_uploads/1097859/d436827f-1dd3-4314-a1d3-af9f37364114)\n\n**What can you use Copilot for?**\n\n1. **Extracting Text/Tables**: Extract text and data from documents like PDFs which can then be analyzed or moved to spreadsheets or workpapers for further processing.\n2. **Compliance Checking**: Analyze the content of documents to check compliance with various regulations, standards, or policies, and provide reports detailing any areas of non-compliance.\n3. **Content Search and Retrieval**: Enables auditors to conduct advanced content searches within documents, including searching for specific phrases, keywords, or patterns and retrieving relevant sections.\n4. **Natural Language Querying**: Simplify data retrieval by extracting information from spreadsheets using natural language queries without complex formulas.\n5. **Reconciliations**: Validate data within documents by cross-referencing it with other sources, such as spreadsheets, and highlight any discrepancies that require further investigation.\n6. **Natural Language Summarization:** Automatically generate concise written summaries of financial data in spreadsheets, helping auditors quickly comprehend key insights without digging through raw data.\n\n**Ask**\n\nWe’d love to connect with auditors! Please sign up for a demo at [goagentive.com](http://goagentive.com)",
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        "votes": 57,
        "created_at": "2023-07-06T17:56:16.055Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bronco is an applied AI lab helping chipmakers keep Moore’s law going. Our mission is to build AI silicon verification engineers that find bugs, drive functional coverage, and help companies ship working chips on time.\r\n\r\nWe're currently deployed alongside verification teams at leading chip companies building next generation hardware (4 nm process node).\r\n\r\nWe are well-funded and backed by tier-1 investors, including YC, 8VC, Elad Gil, SV Angel, and Contrary Capital. We have also established strong relationships with the leading academic and industry researchers in the field of AI for chip design. Our advisors have won multiple Best Paper Awards at leading conferences, been cited tens of thousands of times, and received some of the highest honors in the microelectronics and EDA industries.",
    "one_liner": "AI for ASIC Design Verification",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "body": "**TLDR**\\\n[Obento Health](https://www.getobento.com/?utm_source=launchyc) is redefining the CRM experience for medical device sales. Designed specifically for healthcare, we are saving field reps time from activity tracking and empowering reps to create more personalized interactions with their customers.\n\n### **The love-hate relationship with a CRM**\n\nMedical device reps are constantly on the go, and our users have told us using CRM is a necessary evil for their job. A clunky CRM leads to inefficiencies in managing customer relationships and missing valuable follow-ups. More importantly, reps are spending hours a week doing admin work in their CRM instead of focusing on their customers, and management is missing key insights to drive strategic directions for their sales teams. \n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/fe5a0beb-4b25-42e3-8f6c-eb9b8e7f22d1)\n\n### **Obento is taking the pain out of using a CRM**\n\nThe team at Obento has designed the perfect co-pilot for medical device reps. Our mobile-first platform allows reps to log visits using voice-to-CRM, access their rolodex at their fingertips with enriched domain-specific data, and a debrief mode that can help reps uncover more aha moments. By integrating seamlessly with existing CRM systems, Obento enhances rep productivity from day one.\n\n### **The team has dedicated two decades into building well-loved products**\n\nNaxin Wang and Rodrigo Gutierrez have 20 years of combined experience and have built products used by millions of people. Naxin was at Verily (fka Google Life Sciences) building products for biopharma and medtech companies, and Rodrigo joined as an early employee and led product engineering at Strava.\n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/2e2d4510-a499-4472-96d8-9f7e9079899b)\n\nReach out to us at [naxin@obentohealth.com](mailto:naxin@obentohealth.com) to see how AI can transform your commercial team.",
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    "long_description": "Docsum is a contract intelligence platform designed for legal and finance teams. Using AI, Docsum extracts critical data like renewal dates, obligations, and more into a searchable database. The platform is fully customizable with features like custom field reporting, alerts, and playbook-powered redlining. Getting started is simple—upload contracts or connect Docsum to tools like Google Drive, DocuSign, and more.",
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        "title": "🔍 Docsum - AI contract reviewer for legal teams",
        "tagline": "Supercharge your contracting workflows from review to negotiation by 3x",
        "body": "**TL;DR:** [Docsum](https://www.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch) is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers. [Start reviewing your contracts now.](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n\n**Problem**\n\n* Sales teams often own the contracting process from reviewing NDAs to sending out MSAs. **Sales teams are motivated to respond to clients quickly and reduce their time to close** but their ability to review and respond to contract redlines is contingent on collaboration with their legal counsel. **This process can be expensive, time consuming, and hard to manage.**\n* For smaller teams, basic contract review and contract negotiation services with external counsel can be incredibly expensive and time consuming.\n* For larger organizations, in-house counsels are burdened by high matter volumes that often position them as bottlenecks within sales cycles.\n\n### **Docsum — an AI legal copilot for sales teams**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/deadeee1-6bfc-449f-bcac-14ce40fbeed9)\n\n* **Review**: Use Docsum to upload a legal contract and get a comprehensive **summary and ask to our AI attorney questions.**\n* **Analyze**: Get a list of potential red flags and proposed redlines to negotiate with.\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/ee9eca02-f2c7-4c08-8b17-a452edca617a)\n\n* **Playbook**: Upload your redlined contract to get advice on how to respond with **suggested resolutions** sourced from your organization’s configured playbook or from our pre-configured playbook trained by our human attorneys.\n\n### **How is Docsum different?**\n\n* **Extensible**: Currently, we are focused on being the best-in-class legal analysis and contract negotiation tool. We believe we can integrate into your existing contract life cycle processes.\n* **🔌 Interoperable**: We believe the best solutions are integrated where people work so we plan to build an eco-system of tooling which includes our **web application, native Word + Google plugins**, where legal and sales teams work.\n* **💪🏽 Collaborative**: We believe that legal teams are essential for creating and preserving value for organizations. Our hope is to enable organizations to engage their legal counsel in a more strategic and efficient manner. We aren’t trying to replace lawyers with AI.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=73084&key=user_uploads/315362/041fefbc-316e-4285-958f-947c170c09af)\n\nWe’re [Shaunak](https://www.linkedin.com/in/shaunakturaga/) and [Alex](https://www.linkedin.com/in/alexander-l-leonov/). We’ve been best friends since college and the picture above is us bartending in a horse trailer bar that we built called [Barbox](https://www.instagram.com/barboxraleigh/) — a premium event bartending business which we sold last year.\n\nShaunak has experience as a developer and product manager at Pacaso, OpenTrack, Capital One. Alex has experience as a developer and architect at Pacaso and Fidelity. We worked on growth and global expansion while at Pacaso.\n\n### **Our Ask**\n\n* **Sign up today:** Do you deal with sales contracts? [Sign up to try Docsum today](https://app.docsum.ai?utm_source=yc&utm_medium=blog&utm_campaign=yc-launch)\n* **Connect with us:** Do you know of any founders, CROs, sales leaders, deal desk teams, general counsels, or transactional attorneys that might be interested in reducing their time to close and achieve more efficient contracting workflows? We would be most grateful if you can connect us! Email us at [founders@docsum.ai](https://mailto:founders@docsum.ai)",
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        "title": "Arcimus - AI-powered Insurance Premium Audits",
        "tagline": "Arcimus uses a combination of AI and human judgment in the Insurance Premium Audit process leading to high quality, fast, and cheap audits.",
        "body": "**📌 TLDR**: When you hire employees, you’ll need Workers’ Compensation Insurance. The price for this insurance depends on your payroll and employee duties. Since your payroll and employee duties change annually, you’ll go through an audit process to determine the proper amount you should be paying. In the backend, this process is costly and inefficient, and you probably end up underpaying/overpaying. We use a combination of LLMs and human judgment, leading to higher-quality audits at half the price of traditional audit solutions.\\\n—\n\nHi everyone, we’re [Hussein](https://linkedin.com/in/hussein-syed-44115a164) and [Omar](https://linkedin.com/in/omar-dadabhoy), and we’re creating [Arcimus](https://www.arcimus.com/)! \n\n![uploaded image](/media/?type=post&id=77849&key=user_uploads/977376/187811a1-ef85-43ca-9203-7a8e3eab50b5)\n\n### **📑 Problem:**\n\nWorkers' compensation insurance pricing depends on a business’s total payroll and its employees' duties (a roofer is at higher risk of injury than a Software Engineer). However, these factors change as companies hire/fire and change salaries.\n\nEvery year, insurance companies contract auditing firms or individual premium auditors to hand review their customers’ information. They report changes in total payroll and employee duties, enabling insurance carriers to assign them a new premium.\n\nThis manual process can take auditors 1-3 hours per customer annually and is prone to human error. Insurance carriers are at a high risk of failing state compliance tests and getting fined due to human errors.\n\n### **🤖 Our Solution:**\n\nWe use a combination of LLMs and human judgment to read a customer’s documents and compile their information into the same final report created by premium auditors. We can do this within minutes, at half the cost, and with higher accuracy than any singular auditor.\n\n### **📖 Our Story:**\n\nWe were originally S23 but decided to demo with W24 because we pivoted mid-batch from AI meeting notes (yeah, we know…). \n\nWe talked to dozens of insurance workers and eventually learned about premium auditors. After talking to \\~50 premium auditors, we had an inkling that their processes were ready for innovation. To better understand their jobs, we decided to go back to school in the middle of YC and take a community college class on premium auditing. \n\nLike any other college experience, we graduated from YC with 9-5 jobs as premium auditors. After working as premium auditors for 3 months, we were able to write code to automate parts of the premium audit process. AI and humans together led to unmatched performance and dramatically less cost, better than any auditor alone.\n\n### **🙏 Our Ask:**\n\n**Are you an insurance carrier or premium audit vendor:** We’d love to meet and see how we could fit into your workflow! Email us! \n\n**Customer Intros:** If you have contacts at insurance carriers or premium auditing vendors we'd love an introduction to talk to them! Email us!\n\n\\\nFeel free to reach us at [founders@arcimus.com](mailto:founders@arcimus.com)",
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        "title": "Martola – Save time and money on procurement",
        "tagline": "We match Purchase Orders to Invoices to make sure retailers are not overpaying their vendors",
        "body": "Hi everyone! We - [Wael](https://www.linkedin.com/in/walsallami/) and [Kenan](https://www.linkedin.com/in/kenan-kaymakcan/) - are building a platform for retailers to match their invoices with their purchasing orders.\n\n**The Problem: Retailers are overpaying their vendors**\n\nRetailers are juggling a lot of internal and market pressures­–inflation, low margins, high turnover, etc. They don’t have the time and resources to stay on top of their entire operations. As a result, we discovered that they can’t keep track of the discrepancies between purchase orders and vendor payments, leading them to routinely overpay their vendors.\n\n**Solution: Martola, automatic matching between your invoices and purchase orders**\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/af5a9cbe-91a6-4c5c-ade3-5e3d8861bf47)\n\nMartola requires minimal intervention on the retailer’s side, matching the necessary lines on their purchase orders to their invoices and alerting them to discrepancies such as price and quantity mismatch.\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/7ac16502-3481-446b-a1fd-234b738acc5f)\n\nRetailers can follow up with the vendor or update the purchase order on their end.\n\nWe decided to focus on solving this critical pain point as our initial scope. Our long-term vision is to capture retailers by solving for this problem with a clear business case and expand our product suite to address retailers’ other challenges.\n\n**Our ask**\n\n* If you are a retailer and interested in our solution or know any retailer that can be interested, please reach out to us at [founders@martola.com](mailto:founders@martola.com)\n* Investors, please reach out to [founders@martola.com](mailto:founders@martola.com)\n\nThank you from Wael and Kenan\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/8c35052c-c3bd-4a80-8683-a52f0af12752)\n\n",
        "url": "https://www.ycombinator.com/launches/J3N-martola-save-time-and-money-on-procurement",
        "votes": 28,
        "created_at": "2023-07-20T02:29:46.577Z"
      }
    ]
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    "id": 28864,
    "name": "Outset",
    "slug": "outset",
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    "website": "https://outset.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster. ",
    "one_liner": "AI-powered user interviews",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1683921315,
    "tags": [
      "SaaS",
      "B2B",
      "Market Research",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/outset",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/outset.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outset-ai/",
    "x_url": "",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b9884cde2f06e46373b20cec776477bb5ff0f4c1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1327240,
        "full_name": "Aaron Cannon",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Outset. Aaron was previously the head of product at Untapped and Triplebyte and played senior product roles at Tesla, Pebble, and Monitor Deloitte before that. He started his career as a tour manager for a band called Timeflies. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/a-a-ron-cannon/",
        "x_url": "https://twitter.com/AaronLCannon",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47ab295ac1ee892b63713f73b9e454b706d119f7.jpg"
      },
      {
        "user_id": 925701,
        "full_name": "Michael Hess",
        "title": "Founder",
        "founder_bio": "Engineer-turned-firefighter-turned-founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/mchl-hess",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/021aab0d7cce35290c351b9553227b59e4b41f59.jpg"
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    ],
    "jobs": [
      {
        "id": 75468,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/outset/jobs/I4rpa3J-enterprise-account-executive",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.02% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84174,
        "title": "Backend Software Engineer",
        "url": "https://www.ycombinator.com/companies/outset/jobs/1sK7UAT-backend-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $250K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "How Outset Turned AI Interviews Into a New Category",
        "url": "https://www.youtube.com/watch?v=x3XOeDckUX0",
        "date": "Aug 27, 2026"
      },
      {
        "title": "Customer research startup Outset raises $30M led by M12",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/10/customer-research-chatbot-outset-radical",
        "date": "Dec 10, 2025"
      },
      {
        "title": "Outset raises $17M to replace human interviewers with AI agents for enterprise research | VentureBeat",
        "url": "https://venturebeat.com/ai/outset-raises-17m-to-replace-human-interviewers-with-ai-agents-for-enterprise-research/",
        "date": "Jun 11, 2025"
      },
      {
        "title": "Outset is using GPT-4 to make user surveys better | TechCrunch",
        "url": "https://techcrunch.com/2023/10/26/outset-is-using-gpt-4-to-make-user-surveys-better/",
        "date": "Oct 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 78263,
        "title": "🎥 Outset: AI video interviews",
        "tagline": "Accelerate your research with AI-powered user interviews",
        "body": "**TL;DR** - [Outset](https://outset.ai/) is launching its biggest upgrade since our initial launch in June. AI-powered video interviews. Now you can get the depth of an interview at the speed and scale of a survey, all with the story-telling power of video.\n\n**Problem:** Researchers are stuck between two bad options today. Surveys are fast and scalable but don’t get the depth you need. Interviews go deep — particularly over video — but are stuck with a small sample size and are incredibly time-consuming.\n\n**Solution:** AI-powered interviews give you the best of both so you don’t have to choose. LLMs are incredibly powerful question-askers — with the input of a discussion guide, Outset’s AI interviewer leads deep, probing conversations with hundreds of participants at once, and synthesizes your results. You can test concepts or designs, ask about behaviors, or learn about underlying motivations…all while you sleep.\n\n**The addition of video:** While the words in an interview can give you answers, they rarely tell the whole story. Video is by far the best way to capture, internalize, and tell the stories of your users or the market you’re going after.\n\nIf you’re interested in learning more, hit us up! Check out more at <https://outset.ai/video-interviews>.\n\n![uploaded image](/media/?type=post&id=78263&key=user_uploads/1327240/a8d547b4-84c2-4c0e-9c09-d401d143d6b3)\n\n",
        "url": "https://www.ycombinator.com/launches/KMJ-outset-ai-video-interviews",
        "votes": 11,
        "created_at": "2024-02-08T00:43:13.041Z"
      },
      {
        "id": 72213,
        "title": "Outset - AI-powered user interviews",
        "tagline": "Turn weeks of work into (almost) instant insights",
        "body": "**TL;DR** - Getting answers to tough, qualitative questions from your users is extremely costly (in time _and_ money). Outset provides an AI-interviewer that conducts and synthesizes research interviews autonomously. Researchers get large-scale, in-depth data (almost) instantly.\n\n### **Our asks**\n\n* **Early startups: Give us feedback!** [Sign up here](https://outset.ai/login?utm_campaign=launch_yc), and get 50 AI interviews for free.\n* **Larger teams: Book a demo!** Researchers or product/design leaders at mid-market or enterprise companies are our sweet spot. Whether you have researchers on your team or have research-oriented friends, we’d love to meet them! [Book a demo here](https://calendly.com/a-a-ron1/outset-demo).\n\n### **Problem**\n\nWe’re Aaron and Michael, co-founders of Outset (YC S23).\n\nToday, user and market researchers face an unfortunate tradeoff: do you want FAST insights (surveys) or do you want DEEP insights (interviews)?\n\nWe’ve felt this struggle. As a strategy consultant at Deloitte, Aaron facilitated dozens of research projects for Fortune 500 companies. He and his team would spend hundreds of hours on each project just to schedule and moderate a few dozen interviews. And both of us have seen first-hand the need for even faster, deeper user insights at growing software companies.\n\n### **Solution**\n\nOutset gets you both — fast **and** deep insights — with AI-moderated research.\n\nImagine if you could ask hundreds of people a complex, qualitative question (like ‘What motivates you in your career?’) and get back an actionable synthesis of the answers? Now imagine if you could do that in less than a day…\n\nOur AI-moderated research platform uses GPT-4 to autonomously lead in-depth interviews with participants and analyze results. Designed for high-impact research teams at larger companies, Outset gathers valuable, large-scale qualitative data (almost) instantly, turning weeks of work into hours.\n\nOutset users load up an interview guide, share a link with their participants, and watch AI conduct hundreds of interviews at once. AI follows up with participants to clarify, probes on answers, and creates a conversational rapport where responses get deep.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/bab1ab87-3b42-462f-a046-8fbead045dff)\n\nFor every question, AI generates themes, tallies up counts, and highlights powerful quotes to uncover the story. What used to be days of dedicated transcript analysis work is now almost instant.\n\n![uploaded image](/media/?type=post&id=72213&key=user_uploads/1327240/52d11205-52b7-48e9-9c32-a91f35695242)\n\n### **Customer case study**\n\n**With Outset, WeightWatchers put together an interview guide, shared it out, and conducted and synthesized over 100 in-depth interviews in under 24 hours, saving them over a week of work.** The results are now being used to propose a new internal framework for user segmentation.\n\n_“The speed and quality of the responses were both outstanding. I expect Outset will afford my team the opportunity to significantly increase the speed of delivery and the volume of data they are able to collect.” - Wilson Readinger, Head of UX Research @ WeightWatchers_",
        "url": "https://www.ycombinator.com/launches/Imj-outset-ai-powered-user-interviews",
        "votes": 32,
        "created_at": "2023-06-12T19:57:44.481Z"
      }
    ]
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    "id": 28868,
    "name": "Briefer",
    "slug": "briefer",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e589854f66150c916444527d7f4aa314d3961ed.png",
    "website": "https://briefer.cloud",
    "all_locations": "São Paulo, SP, Brazil; Remote",
    "long_description": "Briefer helps data scientists and analysts build interactive visualizations and data apps using a Notion-like interface.\r\n\r\nConnect to your data sources, write SQL or Python, collaborate through comments and multiplayer editing, and run code in whichever compute environments you need.",
    "one_liner": "The collaborative data platform.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1687307247,
    "tags": [
      "Developer Tools",
      "B2B",
      "Data Science",
      "Data Engineering",
      "Data Visualization"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/briefer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/briefer.json",
    "year_founded": 2022,
    "city": "São Paulo",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/briefercloud/",
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    "github_url": "https://github.com/briefercloud",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 578593,
        "full_name": "Lucas da Costa",
        "title": "Founder",
        "founder_bio": "I'm the founder and CEO at Briefer. Previously, I worked as a senior software engineer at Elastic and led software engineering teams at an early-stage startup in London.\n\nI used to maintain large OSS projects like Chai.js and Sinon.js and contributed to many others, including Jest.\n\nAs an author, I wrote \"Testing JavaScript Applications,\" published by Manning. I've also spoken in more than ten countries, and my content has been voluntarily translated into more than seven languages.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/lucasfdacosta",
        "x_url": "https://twitter.com/thewizardlucas",
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      },
      {
        "user_id": 1372900,
        "full_name": "Lucas Vieira",
        "title": "Founder",
        "founder_bio": "Lucas, is a software engineer and open-source enthusiast with a decade of experience, actively contributes to numerous open source projects. He used to maintain Chai.js, a popular JavaScript testing framework with 7.8k+ GitHub stars. As the former Head of Technology at Joga, he built a product from scratch, used by thousands in dozens of countries. Now, Lucas is the CTO of Ergomake, developing a product for developers to deploy preview environments for any stack.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/lucas-vieira-1ba001a4",
        "x_url": "https://twitter.com/commadangle",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b304961c58125ab235255d85217abb378470ab1.jpg"
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    "launches": [
      {
        "id": 88718,
        "title": "❇️ Briefer Agent: your AI data analyst, built into a powerful data workspace",
        "tagline": "Briefer's agent helps anyone on your team turn data into clear and instant insights.",
        "body": "Hey YC! I'm Lucas, founder of Briefer: a data workspace for notebooks and dashboards.\n\n**✨ Today, we're launching the Briefer Agent: an AI analyst that helps anyone on your team turn data into clear and instant insights ✨**\n\n<https://youtu.be/VBXmDJCqOGk>\n\nFor the past year, we've been building a powerful data workspace to help thousands of technical users uncover deep insights they wouldn't otherwise have. Many of these people use Briefer every day and get a lot of value out of it thanks to features like Python support, point-and-click visualizations, scheduling, and turning query results into data frames automatically.\n\n**Now, we're bringing Briefer's magic to _everyone_.** Whenever _anyone_ on your team has a question, they can ask our AI analyst, and it'll use Briefer to get them an answer.\n\n‎\n\n---\n\n# **⭐ It's not just another text-to-SQL chatbot**\n\n**Our AI analyst is _not_ just another “text-to-SQL” chatbot that spits out random graphs.** Instead, it's an intelligent agent that operates Briefer's powerful data workspace to generate answers that are precise and reviewable.\n\nOur agent can do anything a human analyst does in Briefer: write SQL, plot graphs, and even run Python for data manipulation and advanced analyses.\n\n‎\n\n---\n\n# **🤝 Especial things the Briefer Agent can do**\n\n* **🏦 Handle business-specific context.** If you have business-specific context you'd like to explain to the agent, you can easily add it to help the agent better understand your data and goals.\n* ☁️ **Connect to all the most popular data sources.** Briefer connects to all the most popular data sources, including Postgres, BigQuery, Redshift, Athena, Snowflake, MySQL, and others. The agent can use those data sources too.\n* **📄 Analyze CSV, XLS, and Parquet files.** If you have a CSV or Excel file, you can also upload it and ask for the Briefer agent to analyze it for you. That'll be easy because the agent knows how to use Briefer's DuckDB integration to query that file too.\n* 🎈**Run on your own infrastructure.** You can fully self-host Briefer's enterprise version and use your own Bedrock or Vertex services to power the agent. Therefore, all your data remains on your cloud, _always_.\n\n‎\n\n---\n\n# **➡️ How can I try the agent?**\n\nTo try out Briefer's agent, [book a call using this link](https://calendly.com/lucasfcosta/briefer-intro) and we'll help you get started ASAP.\n\nIf you have questions, feel free to email us, the founders, directly at [founders@briefer.cloud](mailto:founders@briefer.cloud).",
        "url": "https://www.ycombinator.com/launches/N4w-briefer-agent-your-ai-data-analyst-built-into-a-powerful-data-workspace",
        "votes": 27,
        "created_at": "2025-03-17T19:16:57.634Z"
      },
      {
        "id": 83864,
        "title": "❇️ Briefer: Python notebooks and dashboards in one place (now open-source)",
        "tagline": "Create Python notebooks that look like Notion, and publish them as reports or dashboards.",
        "body": "⭐ Today, we're launching [Briefer's open-source offering](https://github.com/briefercloud/briefer).\n\n**Briefer is like Notion for code notebooks and dashboards. It gives technical users all the flexibility they need to publish dashboards, analyze data, create reports, and build data apps. At the same time, Briefer makes it easy for non-technical users to view and interact with data.**\n\n![](https://i.imgur.com/EYLk7xK.gif)\n\nIn Briefer, you can:\n\n* 📚📊 **Create notebooks and dashboards** using Markdown, Python, SQL, and native visualizations.\n* 🤳 **Build interactive data apps** using inputs, dropdowns, and date pickers.\n* 🤖 **Generate code and queries** using an AI that understands your database schema and your notebook's context.\n* 🕰️ **Schedule notebooks and dashboards** to run and update periodically.\n* ⚙️ **Create and test ad-hoc pipelines** using writebacks.\n\nIn addition to all that, Briefer is also multiplayer, meaning two or more people can work on the same notebook or dashboard simultaneously and see each other's changes in real time.\n\nFrom today, you can use Briefer for free on your machine or deploy it to your own infrastructure so that your whole team can use it and eliminate your data silos.\n\n \n\n### **🍱 What's included in the open-source offering?**\n\n![uploaded image](/media/?type=post&id=83864&key=user_uploads/578593/fdaa030e-0bad-43d6-a35f-e96332f951a6)\n\nBriefer's open-source offering includes everything you need to build notebooks and dashboards, including Markdown, SQL, Python, point-and-click visualizations, scheduled runs, writebacks, and more.\n\nAlso, given you'll be running Briefer on your own machines, there's no limit on how many users you can invite, how much memory and compute you can give to your notebooks, and how many pages you can schedule.\n\nThe only things that are _not_ in Briefer's open-source offering are PDF exports, granular permissions, and email and Slack integrations. These are available in the paid version of Briefer, for which you can sign up [here](https://briefer.cloud).\n\n \n\n### **🤔 Why open-source?**\n\nWe want people to have zero barriers to using Briefer, and we believe that making it open-source is the best way to achieve that.\n\nBy making Briefer open-source, we're giving you the freedom to run it on your own infrastructure, customize it to your needs, and contribute to its development.\n\nFurthermore, given Briefer will be running on your own machines, you don't have to worry about your data being stored in a third-party service. You have full control over your data.\n\nIf you want an in-depth explanation of our open-source strategy, [you can read it here](https://briefer.cloud/blog/posts/open-source-strategy).\n\n \n\n### **✨ How do I get started?**\n\n**➡️ You can get started by following the instructions in our **[**GitHub repository**](https://github.com/briefercloud/briefer)**. While you're there, please don't forget to give us a star ⭐.**\n\nIf you have any questions, please send me an email at [lucas.costa@briefer.cloud](mailto:lucas.costa@briefer.cloud). I respond to every email I receive from users.\n\nIn case you need help deploying Briefer or just want to talk directly to me, please [book a time here](https://calendly.com/lucasfcosta/briefer-intro-call).",
        "url": "https://www.ycombinator.com/launches/Loe-briefer-python-notebooks-and-dashboards-in-one-place-now-open-source",
        "votes": 28,
        "created_at": "2024-09-09T17:05:36.669Z"
      },
      {
        "id": 80177,
        "title": "❇️ Briefer: Jupyter Notebooks and data apps in the cloud - and it looks like Notion!",
        "tagline": "Create and share beautiful analyses, visualizations, and data apps",
        "body": "\\*\\*TL;DR: If you're using Jupyter Notebooks or have ad-hoc scripts and data apps, you should consider switching to [**Briefer**](https://briefer.cloud) ❇️. Briefer works like Jupyter Notebooks, but it runs in the cloud and is as pretty and intuitive as Notion. It allows you to create beautiful and in-depth analyses, visualizations, and data apps.\\*\\*\\\n—\n\nHi, we're Lucas da Costa and Lucas Vieira (the Lucas²), founders of Briefer.\n\nWe've built Briefer to help data scientists create analyses, visualizations, and data apps and share their work with others — including non-technical people!\n\n![uploaded image](/media/?type=post&id=80177&key=user_uploads/578593/d4956051-0462-4492-b4f7-512a2652739a)\n\n[**🎬 Here's a demo 📹**](https://www.loom.com/share/f5658419cd154958862de41f1ea328c8?sid=685856a5-d188-4c53-baf3-51084ef3d141)\n\nYou can use Briefer instead of writing messy notebooks, building unmanageable ad-hoc scripts, wrangling with SQL in limited BI tools, or going through the hassle of setting up the infrastructure for a data app.\n\n# \n\n# **⭐ Briefer is better than Jupyter or ad-hoc solutions because:**\n\n* 💅 It looks way better and is 1000x easier to use — non-technical stakeholders will love it too.\n* 🤗 It's easy to share — just copy a link, no need to install dependencies or pull a git repo.\n* 💾 You can run SQL and Python in the same place — All SQL queries can be used as Pandas data-frames straightaway. No need to write custom wrapper libraries.\n* 🖥️ It's interactive — you can use text fields or dropdowns for viewers to provide input to your pages.\n* ⚡No Memory or GPUs? No problem — we can get you more powerful machines if you need them.\n* 👯 Real-time collaboration — you can see what others are doing if you're editing the same document, just like Google Drive.\n\n# **⭐ Get started now ✨**\n\n[**➡️ Click here to book an intro call if you want to get started with Briefer ⭐**](https://calendly.com/lucasfcosta/briefer-intro-call)\n\nWe move fast and we prioritize making customers happy over everything else - and we can help you build your first analyses and data apps. So, as a small team, there's a limited number of people we can onboard at a time - **make sure to book a call as soon as possible to ensure we'll get you a spot.**\n\nIf you have any other questions or comments, please email us at [founders@briefer.cloud](mailto:founders@briefer.cloud).",
        "url": "https://www.ycombinator.com/launches/KrB-briefer-jupyter-notebooks-and-data-apps-in-the-cloud-and-it-looks-like-notion",
        "votes": 73,
        "created_at": "2024-04-15T17:39:24.496Z"
      },
      {
        "id": 73177,
        "title": "🧚 Ergomake - Deploy a staging environment for every pull request",
        "tagline": "Whenever engineers push changes, we deploy their entire application and send them a link.",
        "body": "**TL;DR Ergomake creates a staging environment for each pull request. Every time an engineer pushes changes, we deploy their entire application and send them a link to see it. Our customers use Ergomake for QA, product, and design reviews before any code gets merged.**\n\nHey everyone! We're Lucas and Lucas (yes, Lucas²), the founders of [Ergomake](https://ergomake.dev).\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/67fb36be-2271-4b94-8403-f3f1c9bf4612)\n\n**Ergomake creates a new staging environment every time engineers push changes**, making reviews much quicker and easier and helping teams avoid shipping broken changes.\n\n## ❌ The problem: staging is a bottleneck.\n\nEngineers must ship code to a staging environment whenever they need feedback from QAs, designers, and product managers.\n\nThe problem with this approach is that **teams usually have only one staging environment**. Therefore, **engineers scramble to see who will use staging or end up merging changes before anyone else sees them**.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/0d929f46-4a46-425d-86e8-458fc4843816)\n\n**Consequently, teams slow down, applications break, or undesirable code gets shipped**.\n\nWhen that happens, engineers rush to fix the broken code already merged. For that, they must go through the whole review process again, which is a massive waste of time and money.\n\n## 💡 The solution: everyone gets their own staging.\n\nWith Ergomake, every change gets deployed to a new staging environment.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/dc0ff32d-60c5-46d1-a759-b875aaaaea15)\n\nThat way, engineers can get input from the rest of their team without queueing to use staging.\n\nAdditionally, by getting reviews _before_ deploying code, teams avoid merging all sorts of undesirable changes. Consequently, they avoid bugs and reduce rework by keeping `main` always working.\n\nWith Ergomake, teams can merge straight into `main` because they do all their manual testing and validations within their pull requests. Therefore, these teams avoid complicated branching strategies and painful integration cycles.\n\n![uploaded image](/media/?type=post&id=73177&key=user_uploads/578593/9b319d08-4e0e-4239-9786-f5cc9373d979)\n\n## ⚙️ How does it work?\n\nErgomake integrates with GitHub and gets notified whenever someone opens a pull request.\n\nWhen that happens, Ergomake uses the `docker-compose.yaml` file within the repository to deploy your application on our infrastructure.\n\nOnce Ergomake has spun everything up, it adds a comment to the pull request containing the link to test your application.\n\nOur previews can include databases, and they support all types of projects, including those spread across multiple repos.\n\n## ➡️ The ask: sign-up now (there's a free tier)\n\n**You can sign-up for Ergomake at **[**app.ergomake.dev**](https://app.ergomake.dev)**.** There, you'll be able to configure previews for any repositories you want for free.\n\n**If you prefer, we're happy to do all the integration for you or hop on a call and guide you through the process**. If you think that could be helpful, [book an intro call here](https://calendly.com/lucasfcosta/ergomake-15-minutes).\n\nFor anything else, [we're also on Discord](https://discord.gg/daGzchUGDt).",
        "url": "https://www.ycombinator.com/launches/J2H-ergomake-deploy-a-staging-environment-for-every-pull-request",
        "votes": 85,
        "created_at": "2023-07-18T15:59:24.172Z"
      }
    ]
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    "id": 28869,
    "name": "Health Harbor",
    "slug": "health-harbor",
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    "website": "https://healthharbor.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We use generative AI to call insurance on behalf of healthcare clinics. We save clinics up to 40 hours of calls every week over existing outsourced human solutions. \r\n\r\nCompared to the existing solutions for benefits verifications: \r\n- We're faster -- by default, we have a turnaround of 24 hours compared to typically a 3 day turnaround for competitors\r\n- We can reach more payors -- as long as they have a phone line, we can support calling them for benefits. There's quite a few payors in both medical and dental (e.g. Seledent) that have yet to offer a digital retrieval of benefits\r\n- We're reliable and consistent -- there is no person-to-person variation or question skipping when it comes to working with software\r\n",
    "one_liner": "Using generative AI to call insurance for healthcare clinics",
    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1689790147,
    "tags": [
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      "Healthcare IT",
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    "linkedin_url": "https://www.linkedin.com/company/health-harbor",
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        "full_name": "Alan Liu",
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        "founder_bio": "Alan is the CEO and co-founder of Health Harbor. As a technical CEO, He has five years of previous software experience in AI at Meta and Nuro. While building a hearing aid for himself at Yale, his experiences with medical insurance shaped his conviction to improve the billing process for doctors and patients. Outside of Health Harbor, Alan is an aspiring sushi chef. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alanliu96",
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    "jobs": [
      {
        "id": 72444,
        "title": "Founding Engineer . ",
        "url": "https://www.ycombinator.com/companies/health-harbor/jobs/n3sggls-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $170K",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
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    "launches": [
      {
        "id": 73410,
        "title": "Health Harbor - Automated billing for private medical practices",
        "tagline": "Never call insurance again.",
        "body": "### **Hey everyone! We are Nathan, Alan, and Gloria from Health Harbor.**\n\n**TL;DR:** Private practices spend hours every week talking with insurance trying to determine fee coverage so patients don't end up with a surprise bill. Health Harbor uses AI to automate billing for private practices by having an AI call insurance on their behalf. Check us out: [https://healthharbor.co](https://healthharbor.co/)\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/392081ad-49f0-4086-a585-4d1df7292820)\n\n### **The Problem**\n\nImagine spending almost 100 million hours on the phone with medical insurance. Trust us, medical providers can. Over 230,000 private practices in the US spend more than 8 hours every week sitting on the line with insurance trying to determine the amount insurance will cover.\n\n### **The Solution**\n\nHealth Harbor relieves doctors’ offices from needing to call insurance. Instead they can simply submit requests through Health Harbor’s HIPAA certified portal.\n\n![uploaded image](/media/?type=post&id=73410&key=user_uploads/1322783/81fa57fd-de79-4030-9fe3-8e8d20fa99ee)\n\nFurthermore, by enabling admin to quickly request coverage on specific procedure codes, Health Harbor allows physicians to perform more procedures in fewer visits thus compressing revenue cycles from 4 weeks to 1 week.\n\n### **The Team**\n\nWe are Nathan, Alan and Gloria. Nathan comes from an early stage startup, Liminal Sciences, that went public with Hyperfine four years after its inception where he aligned the team on product strategy and built the product as a designer and software engineer. In Alan’s past life, he wrote software for AI systems like speaker identification at Meta’s Portal and prediction of occluded objects at Nuro. As for Gloria, she planned multi-year growth trajectories while at Bain and the Gates Foundation. \n\n### **The Ask**\n\n1. Customer Intros: Please reach out to us at [founders@healthharbor.co](mailto:founders@healthharbor.co)\n   * If you currently call health insurance,\n   * If you personally know anyone who complains about calling insurance (including dentists and any other private practice physicians),\n   * If you know anyone in private equity firms that manage private practices.\n2. Follow us on [LinkedIn](https://www.linkedin.com/company/health-harbor/)",
        "url": "https://www.ycombinator.com/launches/J62-health-harbor-automated-billing-for-private-medical-practices",
        "votes": 29,
        "created_at": "2023-07-26T15:36:05.000Z"
      }
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    "id": 28884,
    "name": "Dialtone",
    "slug": "dialtone",
    "former_names": [
      "Samtana",
      "Anneal",
      "Dialtone",
      "Big Smart AI",
      "Dialtone",
      "Rocketeer"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb288b88bae803d541f0be9e263462de15c64e9a.png",
    "website": "https://usedialtone.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Connect agentic workflows to all your existing software and data. 100+ first party data, action, and event connectors for the tools and services you already use. Easily configurable custom connectors for your enterprise’s proprietary systems, enterprise grade security, and dedicated infrastructure.",
    "one_liner": "AI Agents for Enterprises",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1688669019,
    "tags": [
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      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/dialtone",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/dialtone.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bigsmartai/",
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        "user_id": 773660,
        "full_name": "Akash Kashyap",
        "title": "Founder",
        "founder_bio": "Akash brings over a decade of experience in the technology industry to make Rocketeer best-in-class for GTM teams. Previously Akash was CEO of Tandem (YC S19) where he drove GTM + monetization. Before that, Akash was an engineer at AWS and Google. At AWS he launched Aurora (the fastest growing service in AWS history) and at Google he launched Stadia.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akashya",
        "x_url": "https://twitter.com/akashkashyap_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1788f423df1169bdbcd37b9e8628346f6842ed50.jpg"
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    "jobs": [],
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  },
  {
    "id": 28885,
    "name": "Hiro",
    "slug": "hiro",
    "former_names": [
      "Santiago Labs, Inc.",
      "Telophase"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d1d128fbe59c627f74405a0637c6a9692cc736f0.png",
    "website": "https://hirosecure.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "Agents that handle security work",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1684532337,
    "tags": [
      "Developer Tools",
      "B2B",
      "Infrastructure"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/hiro",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hiro.json",
    "year_founded": 2023,
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        "full_name": "Ethan Blackburn",
        "title": "Founder",
        "founder_bio": "Excited about developer tools/infrastructure and AI. Always down for a hike :)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ethanblackburn",
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        "user_id": 945403,
        "full_name": "Daniel Schofield",
        "title": "Founder",
        "founder_bio": "   ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-sss/",
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    "id": 28920,
    "name": "Unhaze",
    "slug": "unhaze",
    "former_names": [
      "Uncover"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f3b295b0f1bf37f84fab8ca0eb4083a223649ba.png",
    "website": "https://unhaze.ai",
    "all_locations": "Copenhagen, Denmark",
    "long_description": "Unhaze is a revenue optimization tool for mid-market B2B teams.\r\n\r\nUnhaze finds the leads that sales teams are most likely to close right now. We do this by analyzing previous deals and continuously monitoring for similar traits among all our collected company data.\r\n\r\nBy focusing on the right leads (at the right time!), we can almost double win rates.",
    "one_liner": "The right leads at the right time for B2B sales",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1689002292,
    "tags": [
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      "B2B",
      "Sales",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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    ],
    "regions": [
      "Denmark",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/unhaze",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/unhaze.json",
    "year_founded": 2023,
    "city": "Copenhagen",
    "country": "DK",
    "linkedin_url": "https://www.linkedin.com/company/unhaze/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 530674,
        "full_name": "Jacob Lauritzen",
        "title": "Founder",
        "founder_bio": "hello",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/jacob-lauritzen",
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      {
        "id": 72922,
        "title": "Unhaze 😶‍🌫️ Find the deals you are most likely to close",
        "tagline": "Double your win rate by targeting the accounts you are most likely to convert",
        "body": "# TL;DR\n\nUnhaze mines data across sources like intent, hiring, technologies used, company descriptions, websites etc. and analyzes your historical deals to discover impactful buying signals. It then monitors your market and target accounts to constantly find and prioritize the best opportunities at the right time.\n\n# **The problem**\n\nProspecting and lead qualification is manual, inefficient, and error-prone. Prospect-to-closed conversion rates are as low as 5%-10%.\n\nThe coarse filtering capabilities of current lead databases cause sales teams to sift through long irrelevant leads lists instead of spending their time closing high-opportunity deals. This is money, time, and energy out the window.\n\n### **The solution**\n\nUnhaze integrates directly into Salesforce/Hubspot and tells you which leads to prioritize working on. Gone are the days of manual work and “gut based” decision making. Instead, teams can rely on predictive AI to identify the prospects they are most likely to win.\n\nThe initial focus is on win likelihood optimization, but Unhaze can also make predictions such a recommended products, segmentation, upsell potential or even completely custom models.\n\n# **How it works**\n\n_1\\. Data foundation_\n\nUnhaze continuously mines both structured and unstructured data across a large palette of data points such as firmographics, geo, technographics, funding, news, intent, website content, job posts, organizational changes & new hires and more.\n\n_2\\. Analysis of past deals_\n\nWith guidance from you, Unhaze analyzes all previous deals to discover impactful signals that can predict high-conversion opportunities. Some signals are obvious while others are more subtle or only appear in certain combinations.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/4b6c7252-b344-4bb1-845a-dea75a1810fe)\n\n_3\\. Predictive monitoring of market_\n\nUnhaze uses machine learning to continuously monitor your market and predict which accounts are most likely to convert - so you can target the right accounts at the right time.\n\n![uploaded image](/media/?type=post&id=72922&key=user_uploads/530674/16e1646b-f44d-46bc-9d26-5699587da1af)\n\n# **Does it work?**\n\nBy focusing on the right accounts and not wasting time on unlikely leads, our pilot customers can more than double win rates while markedly decreasing time spent on prospecting.\n\n# **The ask**\n\n* Follow [Unhaze on Linkedin](https://www.linkedin.com/company/unhaze/)\n* Reach out [here](https://unhaze.ai/?utm_source=yc&utm_medium=social&utm_campaign=launch_yc) if you’re doing sales or revops in a B2B company with +50 employees\n* Connect me with RevOps, SalesOps, or sales leaders in your network",
        "url": "https://www.ycombinator.com/launches/IyA-unhaze-find-the-deals-you-are-most-likely-to-close",
        "votes": 17,
        "created_at": "2023-07-11T16:24:34.585Z"
      }
    ]
  },
  {
    "id": 28929,
    "name": "Bretton AI",
    "slug": "bretton-ai",
    "former_names": [
      "Greenlite AI"
    ],
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    "website": "https://www.bretton.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton to run compliance, risk, fraud operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.\r\n\r\nBretton has pioneered AI use in financial services with its proprietary Trust Infrastructure — a system of model validation, governance and auditability guardrails that enables AI use in key regulated workflows.\r\n",
    "one_liner": "AI-native operations for the banks",
    "team_size": 34,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1687929703,
    "tags": [
      "Fintech",
      "Payments",
      "B2B",
      "Compliance",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bretton-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/bretton-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/bretton-ai/",
    "x_url": "https://twitter.com/brettonai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a2e212679d6416b22e5a93c56292d0faf00edc5.png",
    "app_video_url": null,
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    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1152966,
        "full_name": "Will Lawrence",
        "title": "Founder",
        "founder_bio": "Will led product for Facebook's anti-money laundering (AML)  platform, combatting financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. \n\nHe's now Co-founder and CEO of Greenlite, helping fintechs scale financial crime operations with AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lawrencewill",
        "x_url": "https://twitter.com/will_lawrenceTO",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfe9f928e4429829c72f6b0ed36b1a16c28a68a0.jpg"
      }
    ],
    "jobs": [
      {
        "id": 72400,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/Dh7ku1P-enterprise-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$220K - $300K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90600,
        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/dqOP6MV-software-engineer-product",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$168K - $213K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 90602,
        "title": "Software Engineer, Infrastructure",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/RnFi0pT-software-engineer-infrastructure",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$168K - $213K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92361,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/E8Bd0s3-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94012,
        "title": "Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/J6AykVR-solutions-engineer",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 94017,
        "title": "Financial Crime Analyst",
        "url": "https://www.ycombinator.com/companies/bretton-ai/jobs/JkfdrLs-financial-crime-analyst",
        "location": "Remote- United States / San Francisco, CA, US / Remote (US)",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$28 - $70 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Greenlite AI Raises $15 Million Series A | Greenlite.ai",
        "url": "https://www.greenlite.ai/blog/greenlite-ai-raises-15-million-series-a",
        "date": "May 21, 2025"
      },
      {
        "title": "Exclusive: Anti-money laundering startup Greenlite gets $4.8 million",
        "url": "https://www.axios.com/pro/fintech-deals/2023/11/08/exclusive-anti-money-laundering-ai-startup-greenlite-4m",
        "date": "Nov 08, 2023"
      }
    ],
    "launches": [
      {
        "id": 72627,
        "title": "Greenlite 🟢 AI compliance teams for fintechs",
        "tagline": "A workforce of AI agents that augment AML and KYC teams",
        "body": "**TL;DR**\\\n[Greenlite](https://www.greenlite.ai/) helps fintechs unlock growth with an AI compliance team.\n\nOur workforce of AI agents tirelessly handle routine AML and KYC tasks, allowing your team to focus on higher-leverage work.\n\nIf you’re a fintech or compliance leader, get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).\n\n## **Problem**\n\nFintech compliance teams **spend millions of dollars on manual anti-money laundering (AML) and know-your-customer (KYC) reviews**. To support customer growth, fintechs turn to outsourced analysts or consultants to complete these reviews.  The workflows assigned to outsourced teams are routine, clearly-defined and require risk-based decisions to be escalated to a full-time employee (FTE).\n\n**Managing outsourced analysts is painful and expensive.** Training takes months, quality assurance is a challenge and any additional tooling/automation needs to be built by your internal engineering teams.\n\n**Critically, the productivity of these AML teams are low**. [McKinsey estimated](https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-investigator-centered-approach-to-financial-crime-doing-what-matters) that as little as 15% of an AML investigator’s time is spent actually investigating. Manual processes, administrative tasks and limited working hours leave backlogs to grow, increasing risks of a major fine.\n\n### **Solution**\n\n[Greenlite](https://www.greenlite.ai/)’s AI agents learn your alert review process and work 24/7 to complete entry-level KYC and AML tasks.\n\nThey pair language models and 200+ data sources to action false positives, investigate high-risk customers and create audit-ready narratives. \n\nSuspicious activity is escalated to your FTEs, allowing you to be in control of risk based decisions.\n\n## **Here’s how it works**\n\n### Choose where you need staff augmentation\n\nGreenlite supports three agent archetypes (with more to come). Each one can learn your company’s specific workflows to handle routine cases.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/7d2bc16b-7e94-41f7-8bd4-4ef467c09b8c)\n\n### Add your policy, data sources and fuzziness thresholds\n\nUpload your workflow policy, define the data sources that are needed for this job and determine the fuzziness threshold you’re comfortable with.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/55090200-1b67-4d7f-ae1d-e21c04863a24)\n\n### Review escalated cases\n\nAgents will escalate cases that require a risk based decision. Importantly, your FTEs get an enriched case, complete with entity investigation details, data analysis and open-source intelligence to make high quality decisions more efficiently.\n\n![uploaded image](/media/?type=post&id=72627&key=user_uploads/1152966/07dccab8-c387-42e5-8a02-2fd4a2e6cfdf)\n\nSchedule a demo [here](https://cal.com/greenlite/greenlite-demo) to see how Greenlite can help you scale your compliance operations with AI instead of outsourced teams.\n\n### **Benefits of Greenlite:**\n\n1. **Higher quality, transparency and control of reviews**: give your team better visibility and control of your AML operations.\n2. **Dramatic savings**: using automated systems instead of human-reviewers will unlock capacity for strategic priorities.\n3. **Unblock growth**: with near-instant compliance capacity, your team can focus on higher-priority initiatives, like license applications, complex investigations and scaling core systems.\n\n### **Who are we?**\n\nWe’re [Alex](https://www.linkedin.com/in/jinalex/) and [Will](https://www.linkedin.com/in/lawrencewill/). \n\nWill led product teams working on Facebook's anti-money laundering (AML) platform, combating financial crimes across payment, gaming and e-commerce use cases. He also built core compliance infrastructure at Paxos, a growth-staged fintech that powers over 10M crypto wallets globally. \n\nAlex was an engineer and product manager at Dropbox. He was the first employee at Flixed where he led product development and built a programmatic content engine.\n\nTogether, we’re excited to help fintech compliance teams unlock unprecedented growth with AI.\n\n### **Looking to connect with fintech compliance teams!**\n\nWe’re happy to help fintech compliance teams define their AI strategy. Get in touch at [founders@greenlite.ai](mailto:founders@greenlite.ai).",
        "url": "https://www.ycombinator.com/launches/ItP-greenlite-ai-compliance-teams-for-fintechs",
        "votes": 52,
        "created_at": "2023-06-28T20:29:37.792Z"
      }
    ]
  },
  {
    "id": 28932,
    "name": "AgentCollect",
    "slug": "agentcollect",
    "former_names": [
      "Respaid"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e7fa66d4491c66a8637435f8ec4ca509a67f236.png",
    "website": "https://www.agentcollect.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We recover aged B2B debt in weeks, not quarters: ~49% in 20 days vs ~20% in 4-6 months for traditional agencies.\r\nOur AI agents call, email, text, find the right contact (20% of B2B contact data is outdated), and negotiate payment plans 24/7 ; all under your brand. \r\nWe replace your offshore BPO and third-party agencies. \r\nYour AR team stays focused on strategic accounts.\r\n\r\nLive with Dell, Microsoft, FedEx, Plaid, and Checkr and hundreds of enterprise companies.\r\n\r\nLong-tail AR your team has deprioritized becomes recovered cash before a traditional agency even gets moving.",
    "one_liner": "B2B debt collection powered by AI agents",
    "team_size": 42,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1688400893,
    "tags": [
      "Fintech",
      "B2B",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "My grandfather ran a furniture store in France. He extended credit himself, on trust. When customers didn't pay, he knocked on their doors on Sundays. One day, a customer pulled a knife on him.\r\n\r\nI grew up hearing that story. Then I started a business and ran into the same wall: customers who don't pay. The impossible choice: push too hard, they turn on you; push too soft, they ignore you.\r\n\r\nThat was collections before software. The problem is still the same.\r\n\r\nEvery B2B invoice is a loan. Every company extends credit. But when customers pay late, they still hand the problem to legacy collections agencies that recover \\~20% in 4-6 months and damage the brand on the way out.\r\n\r\nI built AgentCollect because no one should knock on doors anymore. AI agents call, email, and negotiate 24/7 under our customer's brand. We recover \\~49% in 20 days. Live with Dell, Microsoft, FedEx, Plaid, and Checkr."
      }
    ],
    "url": "https://www.ycombinator.com/companies/agentcollect",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/agentcollect.json",
    "year_founded": 2020,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/agentcollect",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/respaid",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
      {
        "user_id": 571278,
        "full_name": "John Banner",
        "title": "Founder/CEO",
        "founder_bio": "My prior startup's downfall was due to unpaid invoices. With no viable market solution and seeing that 1/4 of businesses faced bankruptcy for similar reasons, I founded Respaid, using AI and respect to address the issue. Beyond entrepreneurship, I'm a commander in the French Republican Guard, a pianist, composer, and passionate about fintech meeting psychology. An engineer by training, I graduated from Harvard Business School and Ecole Centrale Electronique. Also, I'm a proud dad of 4 under 5 🙂",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johnbanr",
        "x_url": "https://twitter.com/johnbanr",
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    "news": [],
    "launches": [
      {
        "id": 73027,
        "title": "Respaid - Respectful B2B Collection, powered by AI",
        "tagline": "\"The nice guy of the debt collection industry 😇\"",
        "body": "Hey! This is John, the founder of [**Respaid.com**](http://Respaid.com)\n\n**Are you constantly juggling a million things while overdue bills keep slipping through the cracks? AI-powered respectful collection enables you to receive up to 9x more payments.**\n\n![](https://lh4.googleusercontent.com/PTwTgW1BacUmzMAqUzhE0hyLy2tdWeb8btBW51Gl4dNEfzXOfjZchTFeCdEccjcySs6WpqBObpY9U8yaffvEjdnGhghmZJNtbEm4orexPgmNXD3bU5JNL-ZtcqFtoYWMY-HTGu0hgo--CAl1y8eW8JM)\n\n_Yeah… I'm a solo founder, but.. I’m not alone. Actually we’re 40+ passionate people from 7 countries!_ \n\n### **❌ Problem: collect small overdue bills is hard**\n\nBe too harsh and people feel offended, be too soft, and they not take it seriously.\\\nAt Respaid, we've found the sweet spot. With our similar approach that a lawyer would do, combined with surprising softness and simple direct payments, people are happy to pay (NPS: 93).\\\nYour brand reputation is even greater.\n\n### **✨ Solution: AI-Powered Lawyer collection + Respect**\n\nWe combine a respectful approach (contact with care through a real lawyer) + AI (predict the perfect timing, message and channel) to collect your overdue bills. Your customers are surprised that your company’s lawyer has been soft and made it easy to pay.\\\nHow to start: **give us a simple excel file, we do the rest (no attached invoices required).**\n\n![](https://lh4.googleusercontent.com/TjqFpV2BgichtCkOzQ3AEqovNqRApXbhF1o5-as9KmXvC89ix1ey_nHICLlFkptfyr2gihAjBHPNuAA6JKOPCQeVZXZBA78R7qjlWjci8C5XukHVXEWeV3mIVoGtmfyhnGGQJZytYmsNQQcObEdeKrA)\n\n_e.g. Apple Pay increase collection rate by up to 7%_\n\n### **👉 For Who: SaaS, Subscription and Marketplace**\n\nYour customers are SMBs? Finding a solution which is profitable and not time consuming is now possible.\\\nWe currently have 458 customers (DoorDash, Checkr, Podium…) in 8 industries (retail, insurance, finance, service..). We usually start with an excel file, but you can also automate us through Zapier or direct API.\\\n**We do up to 85k collections per day!**\n\n![](https://lh5.googleusercontent.com/skDiOeoYmVP8Va2V20WkzD8P_ZDKgtve5JeG5jBc-u1V9-A2DMKkGVUDxNx1Tw8-FLtrG-M2yNhdq2FbN_q8G2BDSyhZBaxLnQwY5WEF5UlRxNzLnpHdbyLIANNiYPOc3wocvrFHxyUNjcQZ_mUpPvs)\n\n### **🕤 BackStory: how BAD debts killed my last startup**\n\nIn my previous startup, I didn’t find a solution to chase small debts, and debt collectors would not take us seriously regarding volume or risk too high (they tend to select debts they have more chance to be collected). I realized 1/ 4 startups fail due to small debts. I knew the only way to fix it was through technology + respect. 18 months later, we were #1 on Trustpilot “debt collector”, had 16 unicorn customers.\\\n**But….we never officially launched in the US… until today!**\n\n### **• We do a fair pricing (success fees only)**\n\nYou only pay a success fee when we succeed (starting 10.9%). In the industry, we’re probably the only ones to even display a pricing page as we understood it was not right to calculate pricing depending on debt quality.\\\nUse the code “_YCS23_”🔥 at signup to get 1 month trial period, there's no need to worry about license fees.\\\nIt's our way of demonstrating our commitment to your success.\n\n### **🙏 How You Can Help**\n\n**Intros to founders/CFO** - You can help us by introducing startups/companies having: 1. a lot of SMBs or 2. a lot of individuals as customers to share how they handle overdue bills. Please cc me: [j+YC@respaid.com](mailto:j+YC@respaid.com) or directly [book a demo here](http://jo.respaid.com)\n\n**Try collecting $1 to yourself in 10sec**: [**start $1 collection here**](https://respaid.com)",
        "url": "https://www.ycombinator.com/launches/Izr-respaid-respectful-b2b-collection-powered-by-ai",
        "votes": 171,
        "created_at": "2023-07-13T15:01:02.582Z"
      }
    ]
  },
  {
    "id": 28958,
    "name": "Rimward",
    "slug": "rimward",
    "former_names": [
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      "Sourcepulse"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.png",
    "website": "https://rimward.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Rimward helps solar asset managers detect intrusions using the cameras already installed across their sites. It flags camera failures and coverage gaps, and gathers video evidence from multiple cameras to help their team or monitoring provider filter out false alarms and decide when to act.",
    "one_liner": "Solar farm security software for existing cameras",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1691807496,
    "tags": [
      "Machine Learning",
      "Computer Vision",
      "B2B",
      "Security",
      "Enterprise"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rimward",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/rimward.json",
    "year_founded": 2023,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/rimward",
    "x_url": "https://twitter.com/rimward_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/rimward",
    "github_url": "https://github.com/rimward",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bd215af97ab581709a04ff6284c6091f29c2058e.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1390247,
        "full_name": "F-G Fernandez",
        "title": "Founder",
        "founder_bio": "Founder and CEO of Rimward. FG co-founded Pyronear, an open-source nonprofit, helping turn a Raspberry Pi, his laptop GPU and entry-level camera into a wildfire detection network across Europe and South America. Running AI locally on affordable hardware, it serves French fire services and detected a wildfire 32 km away.\n\nA computer vision researcher by background, he led research at Mindee (YC W21), published conference papers without a PhD and was formerly a top PyTorch contributor.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/frgfm",
        "x_url": "https://twitter.com/FrG_FM",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eed0d8708a06aa60a305c5d378c1355472e2e065.jpg"
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    ],
    "jobs": [
      {
        "id": 92922,
        "title": "Security / IoT Deployment Engineer",
        "url": "https://www.ycombinator.com/companies/rimward/jobs/j4L5SKW-security-iot-deployment-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "€50K - €70K EUR",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Linux",
          "Docker",
          "Information Security",
          "Internet of Things (IoT)"
        ]
      },
      {
        "id": 92923,
        "title": "Platform Engineer",
        "url": "https://www.ycombinator.com/companies/rimward/jobs/Ocflvow-platform-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "€50K - €70K EUR",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      {
        "title": "Here are this year’s top 40 startups at Station F | TechCrunch",
        "url": "https://techcrunch.com/2023/11/15/here-are-this-years-top-40-startups-at-station-f/",
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    "launches": [
      {
        "id": 74260,
        "title": "🦆 Quack AI - AI companion for developer onboarding",
        "tagline": "Bridging open-source efficiency to drive enterprise excellence.",
        "body": "Hello there! I'm FG (short for François-Guillaume 🇫🇷), the founder of [Quack AI](https://www.ycombinator.com/companies/quack-ai).\n\n**tl;dr:** _We help large software companies run like the most efficient open-source projects. In the future, top-tier developers in those organizations will be able to contribute to pivotal projects, regardless of what teams they're from._\n\n### **💬** The Problem\n\nSuccessful OSS projects are well-organized communities where information is shared and valued. Recognizing this gold standard, corporate giants like Microsoft and IBM are shifting towards 'innersource' - a strategy that fosters ownership, augments communication, and bolsters productivity. However, like many cluttered OSS projects, the vast array of solicitations and varying expertise easily gets overwhelming.\n\n### 💻 Our Solution\n\nOur Dual-Fold Approach:\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/195e8fa1-3b7d-4327-9507-c05a168f1531)\n\n* **Clarity for maintainers** (Web interface): we empower maintainers with a framework to streamline contribution processes. Through our intuitive interface, maintainers can design, curate, and sequence the optimal steps for smooth project contributions.\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/94e7fe10-fc64-4df9-893a-8f20fd16e2ea)\n\n* **Guidance for developers** (VSCode extension): with our IDE extension, developers aren't just compliant; they're efficient. It aids in identifying the right issues, ensures alignment with contribution flows, and keeps a pulse on project priorities.\n\nWhile maintaining popular OSS projects and being an active contributor to PyTorch, I’ve often faced the frustration of seeing Pull Requests from newcomers and thinking “If only that person had the reflex to do XYZ.” Those unwritten norms, which often evade CI restrictions, only sink in after repeated code reviews and numerous trials and errors. This uneasy feeling that “it would be so easy if they were to do ABC” highlights the absence of a solid framework for collaborative development.\n\n### 🦆 The Team\n\n![uploaded image](/media/?type=post&id=74260&key=user_uploads/1390247/153b4727-f3fd-4ba1-9020-45fbc7e19d2b)\n\nI tend to describe myself as a _\"Deep learning engineer by day, open source contributor by night 🦇\"_ which is fairly accurate! On top of being among the top contributors of PyTorch, I’ve led the development of the open-source OCR library of devtool company Mindee (YC W21). I experienced first-hand how some open-source communities are structured to achieve high engagement & productivity, which now appeals to software behemoths.\n\n### 🙏 How you can help\n\n* **🤝 Refer**: know someone in a major corporation looming over innersource or part of a substantial OSS project? Please connect us.\n* **⭐ Engage**: star us on [GitHub](https://github.com/quack-ai/companion) & hop into our [Discord](https://discord.gg/E9rY3bVCWd) for the latest updates!\n* **👍👎 Experiment & feedback**: mold your unique coding insights and take our [VSCode extension](https://marketplace.visualstudio.com/items?itemName=quackai.quack-companion) for a whirl.\n* **📣 Share**: share this post with your network, you can find us on [Twitter](https://twitter.com/quack_ai) or [LinkedIn](https://www.linkedin.com/company/quackai)\n\nUp to revolutionize developer collaboration? Let’s get quacking then!",
        "url": "https://www.ycombinator.com/launches/JJk-quack-ai-ai-companion-for-developer-onboarding",
        "votes": 157,
        "created_at": "2023-08-21T14:34:11.158Z"
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    "id": 28966,
    "name": "Pincites",
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    "website": "https://www.pincites.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pincites makes contract negotiations faster and more consistent for legal teams. Using LLMs, Pincites takes a first pass at reviewing contracts, helping lawyers focus on riskiest parts of their negotiations.",
    "one_liner": "Close deals faster with AI for contract negotiation",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1688690921,
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    "status": "Acquired",
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    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/pincites",
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        "full_name": "Sona Sulakian",
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        "founder_bio": "Building Pincites (S23) to make contract negotiation faster with AI. Previously a transactional attorney, patent attorney, and a strategic consultant for legal tech.",
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        "full_name": "Mariam Sulakian",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Pincites (acq). Previously product at GitHub and eng at Meta.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ms-",
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        "title": "Filevine acquires Pincites to bring legal AI directly into Microsoft Word",
        "url": "https://www.prnewswire.com/news-releases/filevine-announces-lois-for-word-as-it-acquires-pincites-302660674.html",
        "date": "Jan 14, 2026"
      },
      {
        "title": "Pincites raises $3m seed round | Pincites Blog",
        "url": "https://www.pincites.com/blog/pincites-raises-usd-3m-seed",
        "date": "Sep 07, 2023"
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    "launches": [
      {
        "id": 73190,
        "title": "📌 Pincites: AI-powered contract negotiation",
        "tagline": "Close deals faster with AI for contract negotiation",
        "body": "![uploaded image](/media/?type=post&id=73190&key=user_uploads/1369076/99d0dd8f-5228-4ca6-8942-695b81f0605c)\n\nHello! We’re [**Sona**](https://www.linkedin.com/in/sonasulakian/), [**Mariam**](https://www.linkedin.com/in/ms-/), and [**Grey**](https://www.linkedin.com/in/greysteil/)—a team of attorneys, security experts, and AI specialists. We’re on a mission to speed up contract negotiation.\n\n### **❌** Problem\n\n* **Sales negotiations get bottlenecked on legal review**. Sales teams must pause deals while they wait for legal teams to redline and finalize customer agreements.\n* **Unfriendly terms slip through the cracks**. Legal teams can’t ensure that contracts align with company standards _and_ minimize risk when working under time pressure.\n* **Nonstandard language makes understanding your contracts hard.** Lawyers can phrase the same idea in thousands of different ways. At scale, it's difficult to track contract details and negotiation outcomes.\n\n## 💡 Our solution\n\n* **A Word add-in that ensures guidance is available where and when it's needed.** Using the latest large language models, Pincites allows legal teams to build contract playbooks that any internal team can apply consistently within Microsoft Word using our Word add-in. \n* **An AI-powered onboarding flow that turns existing contracts into playbooks.** Simply upload your template, add guidance, and begin redlining. Unlike previous legal tech, manual tagging or model training is unnecessary because Pincites tags clauses based on their semantic meaning.\n\n## **✨** How we help\n\n* **Amplify your legal team’s impact.** Our AI solution surfaces relevant guidance for all teams to quickly review and negotiate contracts using their companies' approved terms. Non-legal teams can securely process contracts, while freeing up legal teams to focus on more critical matters.\n* **Flags key risks for review.** Pincites highlights deviations from your standard language and missing clauses in your contracts. We compare each clause to your standard language, providing insights on variations and associated risk levels. We offer guidance for each variation, ensuring you can align on the right language and conveniently access relevant guidance as you work.\n* **Standardize contracting language and processes.** Pincites serves as a central place for legal teams to define standard guidance that is then embedded in Microsoft Word for easy access by any internal team.\n\n## 🙏 We’re looking to connect with legal teams! \n\n* Refer us to your in-house attorneys at [founders@pincites.com](mailto:sona@pincites.com)\n* Book a 20 minute demo [here](https://calendly.com/pincites/demo)",
        "url": "https://www.ycombinator.com/launches/J2U-pincites-ai-powered-contract-negotiation",
        "votes": 28,
        "created_at": "2023-07-18T19:24:30.580Z"
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    "all_locations": "Kinshasa, Kinshasa, Democratic Republic of the Congo",
    "long_description": "Vaultpay is building a digital banking platform for 30 million smartphone users in DRC and the country's largest agent network. For example, a young Congolese entrepreneur who just won a subcontract with a major mining company can now easily open a personal and business account, receive payments, all from their smartphone, instead of spending hours at bank branches.",
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    "industry": "Fintech",
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    "country": "CD",
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        "full_name": "Ntambwa Basambombo",
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        "full_name": "Christel Ilaka",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/christelilaka",
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      {
        "id": 97421,
        "title": "VaultPay: Digital banking for Central Africa",
        "tagline": "We’re building Square for Central Africa",
        "body": "VaultPay is a digital banking platform bringing Visa cards and modern financial services to the Democratic Republic of Congo, a country of 120 million people where 85% remain unbanked, and 90% of transactions happen in US dollars.\n\n**The Problem**\n\nThe DRC has been overlooked by the fintech industry. While mobile money dominates most of Africa with razor-thin margins, the DRC's dollarized economy means our users transact at an average of $40/month, nearly 3x Nigeria's $15 average. Higher transaction values mean healthy unit economics from day one.\n\n**What We Built**\n\nThink Apple Wallet meets CashApp. We offer virtual and physical Visa cards, USD and CDF accounts, and we're rolling out an agency banking network that transforms local businesses into cash-in/cash-out points, following the Square model for Africa.\n\n![uploaded image](/media/?type=post&id=97421&key=user_uploads/350695/198f0423-193f-4546-8c38-c6c46dc243bc)\n\n**Traction**\n\nWe launched in Q4 2025. In four months, with zero marketing spend:\n\n* 17,000+ users signed up\n* $20K MRR\n* 80% are accessing formal financial services for the first time\n\n**Why Now**\n\nWe're the first startup to secure a full payment license from the Central Bank of Congo, rather than operating under another bank's license, as most African fintechs do. This opened doors: Visa invested in our launch and is finalizing a deal recognizing us as their distribution partner for DRC expansion. Ecobank, one of Africa's largest banks, chose us to power its card experience, integrating its CashXpress program ($15M in monthly cash-in volume) into our platform.\n\n**Team**\n\nWe left Airbnb and Google in Silicon Valley to build this. Backed by YCombinator, Tekedia Capital, Michael Seibel, executives from SoFi, Airbnb, and CashApp, and engineers from Google DeepMind, Meta, and Uber.\n\n![uploaded image](/media/?type=post&id=97421&key=user_uploads/350695/9bb15e33-5144-43ed-b8f1-c75f8fd8f2ba)\n\nAI collapsed what should have taken years into months. We own our entire stack, including product, KYC, analytics, customer service, and data science, all with a very small team.\n\n**The Opportunity**\n\nEveryone chases the same markets in Africa. Meanwhile, we're building the financial rails for an entire nation before others catch on. That is our moat. DRC is currently undergoing a massive nationwide digital transformation and is one of the continent's largest consumer markets.\\\n\\\n**Our Ask**\n\nWe're raising our seed round to accelerate distribution across the DRC and Central Africa. If you're an investor excited about the largest untapped fintech market on the continent, we'd love to talk.\n\nIf you want to join a fast-growing startup building the financial foundations of an entire region, we're hiring.\n\nEmail: [ntambwa@vaultpay.io](mailto:ntambwa@vaultpay.io) / [cilaka@vaultpay.io](mailto:cilaka@vaultpay.io) / [founders@vaultpay.io](mailto:founders@vaultpay.io)",
        "url": "https://www.ycombinator.com/launches/PLJ-vaultpay-digital-banking-for-central-africa",
        "votes": 33,
        "created_at": "2026-02-03T03:34:29.381Z"
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    "name": "Rankai",
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    "website": "https://rankai.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Websites used to be static billboards, passive and waiting to be found.  \r\n\r\nRankAI helps startups and agencies grow websites on autopilot. It learns from your site, market, competitors, and performance data to identify which pages should exist, creates them in your brand, publishes them directly to your live website, and continuously improves them based on real traffic and conversion — so your website gets discovered, trusted, and converted on by both human and Agents. ",
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    "subindustry": "B2B -> Marketing",
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        "full_name": "Dyllan Liu",
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        "id": 85538,
        "title": "Rankai – AI Agents that Replace Marketing Agencies",
        "tagline": "Building AI Agents to replace marketing agencies",
        "body": "**_TL;DR:_** Rankai is building AI Agents to replace marketing agencies. Its 1st agent automates the entire SEO process and makes it 20x more affordable.\n\n<https://www.youtube.com/watch?v=GtACzv0uiV4>\n\n# **What’s the insight?**\n\nMarketing agencies grew and made $400B in 2024, despite the rise of affordable marketing tools. We talked to 100+ SMB owners, and found that many would still pay thousands for marketing agencies. They want to pay for a service – for someone to think about what to do, then just execute and deliver results. \n\n# **What did we build?**\n\nRankai is building AI Agents to strategize and execute on marketing objectives, just like an agency. It’s first AI Agent automates the SEO process and makes it 20x more affordable.\n\nHow it works:\n\nStep 1: Crawl through your website pages and understand your business.\n\nStep 2: Suggest technical SEO fixes based on Google SEO Guide.\n\n![uploaded image](/media/?type=post&id=85538&key=user_uploads/804786/38787d8a-f2b6-4192-a390-978a58725a1e)\n\nStep 3: Research for target keywords tailored to the business.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfvDlVknS_1BOO7TT6rVukxlz7ROXbt8sg9mLlsqMfsV8HLNjiq-JQUS43zNtq1_98fFFygSLSg83emG0O55j8afS0CegUWoP1N2xHwxkAvaiqDxuCKmvwE9QVKISbciRQFVd0jzw?key=_60rhAaWD9CT0jrsgoEW3IYz)\n\nStep 4: Craft keyword-optimized SEO content.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeLgTVPuUR6tTMOOeGGqoUsueqcHs_RtCr_cPyHDG4MriprwfgzlzAeCm_v5WVNkJfSXLoOoiUAlaM9fYUmvH4CrVXyJMll_LTFmhO2KcdL00vswJK5VUCnQPK0i40YjIUVIXPTCA?key=_60rhAaWD9CT0jrsgoEW3IYz)\n\nStep 5: Finally, Rankai publish the technical SEO fixes and weekly blogs straight to your website.\n\n# **The Team**\n\n[Boyuan](https://www.linkedin.com/in/boyuan-deng/): Built and scaled FlowGPT from 0 to 4M users via SEO & organic traffic, EECS at UC Berkeley\n\n[Hugo](https://www.linkedin.com/in/hugo-z-21197a122/): Engineering at Amazon, National Junior Math Olympiad Team, Blockchain Dev at Eluvio, Research at BAIR, Math & CS at UC Berkeley\n\n[Dyllan](https://www.linkedin.com/in/dyll/): Ex-McKinsey, Engineering at Amazon, Built an education platform serving 1500+ rural students, Business & DS at UC Berkeley\n\n# **Our Ask (and Offer)**\n\nTry it yourself: [rankai.ai](http://rankai.ai)\n\nDemo/SEO Strategy Session: [Book here](https://calendly.com/rankai/rankai-ai-demo)\n\nIntro: Any SMBs that aren’t SEO-optimized for organic traffic (Ecommerce owners, startups, agencies, local businesses, freelancers, etc.)\\\n\\\nEmails: [dyllan@rankai.ai](mailto:dyllan@rankai.ai) and [hugo@rankai.ai](mailto:hugo@rankai.ai)",
        "url": "https://www.ycombinator.com/launches/MFe-rankai-ai-agents-that-replace-marketing-agencies",
        "votes": 238,
        "created_at": "2024-11-13T21:43:46.169Z"
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    "name": "Baserun",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "LLMs are incredibly powerful, but latency, cost, and unpredictable outputs have made productionizing LLM features challenging. Baserun is a testing and observability platform that helps AI teams streamline their development cycle from identifying an issue to evaluating their solution, so that teams ship faster with confidence.",
    "one_liner": "Observability and evaluation platform for LLM apps.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691548192,
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      "name": "Harj Taggar",
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        "user_id": 1038083,
        "full_name": "Effy Zhang",
        "title": "Founder",
        "founder_bio": "Building something new",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/effyz",
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      {
        "user_id": 815071,
        "full_name": "Adam Ginzberg",
        "title": "Founder",
        "founder_bio": "Adam is the CTO and co-founder of Subframe. He was an early engineer at Coda, helped lead the Coda AI team, and studied CS at Stanford.",
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        "linkedin_url": "https://linkedin.com/in/adam-ginzberg-77b6ba126",
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      {
        "id": 74004,
        "title": "baserun.ai: Ship LLM features with confidence 💪💪💪",
        "tagline": "A testing platform for LLM apps. ",
        "body": "**TL:DR:** [baserun.ai](http://baserun.ai) is a testing platform for LLM apps. From prompt playground to end-to-end tests, baserun helps you ship your LLM apps with confidence and speed.\n\n## **The problem:**\n\n**Productionizing LLM features is hard. 🥲**\n\n1. It's difficult to judge which combination of model, configurations, and prompts performs better.\n2. It's challenging to debug complex workflows that mix chained prompts and other 3rd party API calls.\n3. It's hard to understand the progression of app performance over time.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/cef4bc61-ae39-4dc0-b0ca-f763861c4e97)\n\n## **Our solution:**\n\n**Gain insights into your LLM features within seconds**\n\nInstall baserun SDK and immediately gain insights into your LLM features and agents during testing, and monitor their behavior in production.\n\n**Full visibility into your end-to-end tests & user journey**\n\nVisualize the precise sequence of calls, duration, and cost, along with the inputs and outputs at each stage, encompassing both custom functions and third-party API calls.\n\n**Intuitive and flexible UI for evaluating and debugging**\n\nEffortlessly compare test runs side by side, directly edit prompts, and rerun tests from the UI.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/87f4df81-dd31-49b5-aeb0-5d5b51f7e504)\n\n**Collaborative workspace for teams**\n\nReview results, experiment and iterate on prompts, and build test datasets with your whole team. All prompts and test results are version-controlled.\n\n![uploaded image](/media/?type=post&id=74004&key=user_uploads/1038083/3cd2684f-04b3-4835-ac39-c27ba810a69f)\n\n**Our Asks**\n\n* Try [baserun](https://baserun.ai/welcome) and give us some feedback! [Book a 15-minute call](https://calendly.com/effy-zhang/baserun-onboarding-call) with us. We’d love to hear about what you are building and help you get onboarded.\n* You can follow us on [Twitter](https://twitter.com/baserunai) or [LinkedIn](https://www.linkedin.com/company/baserun), or email us at [hello@baserun.ai](mailto:hello@baserun.ai)",
        "url": "https://www.ycombinator.com/launches/JFc-baserun-ai-ship-llm-features-with-confidence",
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        "created_at": "2023-08-10T19:17:49.128Z"
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    "name": "DisputeNinja",
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    "launched_at": 1690854655,
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    "country": "US",
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      "name": "Garry Tan",
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        "full_name": "Max Wu",
        "title": "Founder",
        "founder_bio": "Fighting Stripe disputes at Dispute Ninja",
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        "linkedin_url": "https://linkedin.com/in/maxcwu",
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      {
        "user_id": 279630,
        "full_name": "Bowen Xue",
        "title": "Founder",
        "founder_bio": "Fighting chargebacks @DisputeNinja (YC S23). Prev @Together (YC S19)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/bowenxue",
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      {
        "id": 89254,
        "title": "DisputeNinja 🥷 AI-powered Chargeback Responses",
        "tagline": "Recover 2x more revenue from chargebacks",
        "body": "**DisputeNinja uses AI to help businesses recover 2x more revenue from chargebacks.** In the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n<https://youtu.be/F4Ho3WTnoXA>\n\n# **The Problem**\n\nIf you’re a business who’s dealt with chargebacks, you’ve probably felt this:\n\n🧨 **You did everything right and still lost the money**\n\n_“We shipped the product, supported the customer, submitted everything we had… and still lost.”_\n\nThe worst of all is, you don’t even know why you lost. It starts to feel like chargebacks are unwinnable, no matter what you do.\n\n* You didn’t know what to submit in the first place, since the guidelines weren’t clear\n* The loss reason from the bank is vague and unhelpful\n* And now Stripe’s adding a $15 fee every time you lose, making it even worse\n\n**🕒 It takes too much time**\n\n_“It’s not worth an hour just to lose $50.”_\n\n* Writing a response takes 30–60 minutes.\n* Gathering the evidence is a headache. It’s spread across Stripe, Shopify, email, shipping tools, and more.\n* Each case is a little different, so you can’t just copy-paste your last one.\n\n# **The Solution**\n\n**✨ AI-generated responses**\n\nUpload your evidence and DisputeNinja will write a tailored response for you, using past disputes we’ve won for similar products and businesses.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/bc6a262a-06da-4c2c-866e-1b080809d479)\n\n**✅ Evidence checks**\n\nDisputeNinja evaluates your evidence against the chargeback reason code and tells you exactly what’s needed to win.\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/e35c285f-3bf0-45f2-bf94-32a5e1acd4f2)\n\nIn the past 3 months, we’ve helped 200+ Stripe merchants recover hundreds of thousands in lost revenue.\n\n# **The Ask**\n\n* [Try us out for free](http://disputeninja.ai) on Stripe or Shopify\n* If you handle 30+ disputes monthly, we can help with automating your disputes. If you’re interested, book a time on my [Calendly](https://calendly.com/disputeninja/30min) or reach\n\n  out at [bowen@disputeninja.io](mailto:bowen@disputeninja.io).\n\n![uploaded image](/media/?type=post&id=89254&key=user_uploads/279630/04fe8187-c048-4ddb-9e30-2c48a65d868e)\n\n",
        "url": "https://www.ycombinator.com/launches/NDa-disputeninja-ai-powered-chargeback-responses",
        "votes": 29,
        "created_at": "2025-04-04T16:58:16.174Z"
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      {
        "id": 73769,
        "title": "Trench: Open-source fraud prevention platform for marketplaces",
        "tagline": "Building better fraud prevention tools for everyone",
        "body": "**TLDR: You can now self-host an open-source fraud prevention solution as a marketplace.**\n\nHi everyone! We’re [Bowen](https://linkedin.com/in/bowenxue) (left) and [Max](https://www.linkedin.com/in/maxcwu/) (right) from [Trench](http://trytrench.com/). We used to work at startups that let you purchase NFTs/crypto via credit card/ACH, and we spent a lot of our time there fighting payment fraud.\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/d89c7fe4-fa97-4769-b18b-a9b190ff8bf9)\n\n### **🔥 PROBLEM**\n\n### **Fraud vendors can’t solve fraud for you. Every business outgrows their vendor.**\n\nThere will always be fraud that is specific to your application or business, that no vendor will solve. This is because:\n\n* They don’t know your business.\n* They have a thousand other customers to worry about.\n\nAt one point, fake NFT sellers on our marketplace accounted for **90%** of our fraud, but none of our vendors cared about sellers, let alone NFT projects.\n\nTo reduce fraud, we needed to build new tools and processes that were completely specific to us, like reviewing NFT sellers and analyzing blockchain activity.\n\n### **But existing vendors lock you in.**\n\nBecause existing fraud vendors are hosted and closed-source, it’s a nightmare to build around them:\n\n* **You can’t integrate your own data.** Every time we needed to add a custom field to our vendor’s dashboard, we needed _manual approval_. This process would take an entire week, during which we’d be losing money to fraudsters.\n* **You can’t export all your data.** To retrieve our _own_ payments data from our vendor, we had to write _web scrapers_ because there was no API or export button.\n\n### **🧱 SOLUTION**\n\n### **Trench grows with your business and doesn’t lock you in.**\n\n* **Trench is open-source.** You can modify it for your use case and share your solutions with others.\n* **Trench is self-hosted.** You have full control and access to your data, and you can respond to fraud without asking third parties for permission.\n* **Trench comes with tools out of the box.** You can [deploy](https://docs.trytrench.com) a dashboard and rule engine in one click and you can collect device data with one line of JS.\n\n### **🏠 FOR MARKETPLACES**\n\nIf you’re a marketplace, Trench can help you:\n\n* Prevent buyer and seller fraud in one platform\n* Review sellers by KYC, KYB and transaction history\n* Set transaction limits for both buyers and sellers\n* Automatically assess payments based on both buyer and seller data\n* Integrate directly with Stripe Payments, Identity, and Connect\n\n![uploaded image](/media/?type=post&id=73769&key=user_uploads/279630/60a63aef-cf4c-41ea-81f5-a09138bef002)\n\n### **👀 How do I get started?**\n\nYou can set up Trench in two steps:\n\n* [Deploy](https://docs.trytrench.com) an instance of Trench in minutes\n* Add a code snippet to your checkout page\n\nVisit our [repo](https://github.com/trytrench/trench) to get started or talk to us and we’ll do it for you.\n\n### **🙏 Our ask**\n\nWe’d love to chat if you’re a marketplace thinking about fraud or if you find yourself building a lot of fraud tools in-house: [founders@trytrench.com](mailto:founders@trytrench.com)\n\n⭐ Star our repo on [**Github**](https://github.com/trytrench/trench)",
        "url": "https://www.ycombinator.com/launches/JBp-trench-open-source-fraud-prevention-platform-for-marketplaces",
        "votes": 59,
        "created_at": "2023-08-03T17:08:22.666Z"
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    "name": "Inari",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1691035994,
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        "full_name": "Frank Lee",
        "title": "Founder",
        "founder_bio": "Cofounder / CEO of Inari. Led product teams building out gamification, marketplace, and economy management on NBA Top Shot and NFL ALL Day while @ Dapper Labs. Worked on ML pricing product and scaled several cities in BizOps between 2016-2020 @ Opendoor. Data became my love language while working @ Amazon. I love all things about startups, product, marathon running, and streetwear.",
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        "linkedin_url": "https://linkedin.com/in/bizfranklee",
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      {
        "user_id": 1160832,
        "full_name": "Eric Kim",
        "title": "Founder",
        "founder_bio": "CTO of Inari: Building the AI copilot connected to your workplace data to empower teams to gather context and make decisions quickly.\n\nPreviously at Amazon.com Supply Chain Forecasting and AWS SageMaker as founding tech lead for DataWrangler, owner of the SageMaker XGBoost image, and point of contact for algorithm deployment to secure GovCloud environments.",
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      {
        "id": 87667,
        "title": "Inari 🦊 - Your junior AI product manager",
        "tagline": "Build delightful products by identifying insights and product opportunities automatically from your customer feedback, CRM, and backlog.",
        "body": "Hey YC 👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n### **TL;DR**\n\n[Inari](https://useinari.com/) automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.\n\nTry Inari out for free at [useinari.com](http://useinari.com) or checkout our [product demo](https://www.youtube.com/watch?v=PKrRjXW1b08).\n\n### **Problem**\n\nThe canonical startup advice is “talk to your users” and “deeply understand customer problems,” but executing it is easier said than done. The volume of customer feedback and qualitative data is exploding, living fragmented across hundreds of tools, making it difficult and time-consuming to convert customer data into useful insights and product opportunities.\n\nWithout a clear view of what customers are saying, product teams miss out on signals that can improve their product, reduce churn, and drive revenue growth. Missed signals means your engineering team wastes time building features customers don’t actually need.\n\n### **Explore accurate customer insights**\n\nInari allows you to explore your customer feedback, convert it into actionable requests, defects, praises, and learnings, then deeply understand exactly what’s top of mind for customers. Each insight gets auto-linked with relevant customer feedbacks and your CRM, so you can measure how frequent and valuable an insight is based on feedback.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/0e4651d3-cf6b-4349-8f43-d2a6c97afef8)\n\n### **Unify feedback, analyze it at scale**\n\nInari unifies your customer feedback from sources like Gong, Intercom, Zendesk, and Slack then automates the tedious process of sifting through it, extracting useful quotes, measuring sentiment, triaging feedback to specific teams, and linking it back to insights and issues (goodbye Productboard 👋🏼) using personalized fine-tuned AI models.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/5fc0851a-7ae9-4dba-a9cb-7736f8144ae1)\n\n### **Prioritize product opportunities**\n\nInari syncs with your Jira and Linear backlog, so you can ingest existing issues then auto-link it to relevant feedbacks and your CRM. This enables product builders to know exactly which company accounts are requesting a feature, its revenue impact based on deal size, then identify and resolve requests and edge cases flagged in relevant customer comments.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/8e9e5f59-9057-4035-a69b-df6835dc3e8c)\n\n### **Accelerate product development and prototypes**\n\nSince Inari is connected to customer data and organizes product context, you can generate deep dives, PRDs, and AI prompts grounded in customer needs in one-click. As AI coding tools improve, a key bottleneck to building better features is task clarity - Inari makes it easy to convert customer context into well-defined prompts that steer AI coding tools in generating prototypes.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/acafcf7e-5fc9-42d9-afd3-4e0207091582)\n\n### **Get started 💯**\n\n* If your product, engineering, or CX team needs to convert overwhelming volumes of customer data into actionable insights and product opportunities, [get started today](https://app.useinari.com/api/auth/signup) or check out [Inari](http://useinari.com) to learn more.\n* We’d love any feedback and are always down to geek out about product development. [Talk to us](https://cal.com/frank-lee-inari/30min) about your analysis, product discovery, prioritization, or AI prototyping problems so we can build something delightful for you!",
        "url": "https://www.ycombinator.com/launches/Mnz-inari-your-junior-ai-product-manager",
        "votes": 21,
        "created_at": "2025-02-17T18:24:09.722Z"
      },
      {
        "id": 80084,
        "title": "🦊 Inari: AI-powered product discovery and feedback analytics",
        "tagline": "Surface insights and revenue-generating product opportunities from your customer data auto-magically",
        "body": "Hey YC friends👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n## **TL;DR**\n\n[Inari](https://useinari.com/) surfaces customer insights and revenue-generating product opportunities from your customer data auto-_magically_ using AI.\n\nInstead of sifting through 100s of user interviews or 1000s of pieces of customer feedback manually, Inari automates the process of highlighting interesting quotes, identifying trends, uncovering impactful feature requests, and tying helpful prioritization metrics with features so your team can spend less time analyzing and more time building products that customers love. See our [product demo here](https://www.youtube.com/watch?v=vn3AExWP5xA).\n\n## **The Problem**\n\nThe canonical startup advice has always been, \"_go talk to your users._\" However, the process of listening to users, extracting meaningful insights, and figuring out what products to build based on actual customer problems is time-consuming. Most teams fail to make use of their customer data, resulting in missed revenue and higher churn.\n\nTop-performing teams that do talk to users have to spend significant effort manually analyzing and triaging customer feedback, sales convos, and support tickets. It’s tough to actually pull out impactful feature ideas and product opportunities from customer interactions and then persuade your team to prioritize them. Pulling together effective customer anecdotes and convincing prioritization metrics requires a ton of research and analysis.\n\n## **How It Works**\n\nIn the near future when AI makes us 10x more productive with task execution, deeply understanding customer problems and identifying impactful initiatives to take on becomes increasingly important. Inari helps automate the monotonous parts of customer analysis and product discovery across several steps.\n\n**Analyze customer interactions on autopilot**: Inari integrates with customer data sources (like Slack, Salesforce, and Gong), ingests customer interactions (like feedback, support tickets, and sales convos), and then automatically analyzes it all. Inari highlights key quotes, scores sentiment, and then triages feedback to specific teams, saving your product and support teams from having to do it manually.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3424c0c3-51ff-4372-96b9-0f77052aec5c)\n\n**Automated accurate insights**: As feedback pours in, Inari clusters it into accurate insights (requests, defects, praises, learnings, competitor mentions) so you can understand what’s top of mind for customers. Each insight comes with volume and sentiment metrics, alerts, and VoC dashboards that automate reporting. You can customize taxonomies and prompts to tailor analysis to your team’s needs.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/214b1290-e4dd-432d-8d7a-0be12fb8f717)\n\n**Uncover product opportunities**: Inari surfaces potential backlog issues based on customer feature requests or AI-recommended solutions for top customer problems. Every issue auto-links to relevant customer data like deal size, company stage, mention volumes, and specific anecdotes – giving you a 360° view when prioritizing what issues matter most.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3f6e8e5e-ebf2-420d-b649-ab3ee0fc453c)\n\n## **Our Asks 🙏🏼**\n\n* If your product, engineering, CX, or sales team wants to convert overwhelming volumes of customer data into actionable insights, VoC reporting, and alerts, you can [get started today here](https://app.useinari.com/api/auth/signup) or check out [useinari.com](http://useinari.com) to learn more.\n* If you’re interested in surfacing product opportunities and generating a 1st draft of your backlog based on customer requests using AI, let’s [chat live](https://calendly.com/frank-xu8/chat-with-frank-inari) or email [frank@useinari.com](mailto:frank@useinari.com) so I can onboard your team as design partners.\n* We’d love any feedback and are always down to geek out about product development. Talk to us about your analysis, product discovery, or prioritization problems so we can build something delightful for you!",
        "url": "https://www.ycombinator.com/launches/Kpg-inari-ai-powered-product-discovery-and-feedback-analytics",
        "votes": 39,
        "created_at": "2024-04-10T22:50:35.177Z"
      },
      {
        "id": 73813,
        "title": "🦊 Inari: AI-Powered Customer Insights Hub",
        "tagline": "Customer feedback that analyzes itself ✨. Unify your feedback then automatically analyze and generate product insights at scale.",
        "body": "## **TL;DR**\n\n[**Inari**](https://useinari.com/) is the AI-powered hub for unifying customer feedback and generating product insights. Instead of sifting through 100’s of pages of user interviews or 1000’s of pieces of customer feedback manually, you can use Inari to consolidate customer feedback across data sources, automatically highlight useful quotes, categorize sentiment, and generate insights. You can use this data to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps.\n\n**If any product, UX research, design, support, or other teams want an automated way to analyze customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (**[**frank@useinari.com**](mailto:frank@useinari.com)**)!**\n\n## **The Problem(s)**\n\n* Product, design, and engineering teams rely on feedback and research data for insights and empathy for building products people love. However, this data lives across several sources like Salesforce, Zendesk, customer interviews living in PDFs, and data sitting in CSVs so it’s tough to maintain a 360-degree view of opportunities to improve customer experience.\n* It’s time consuming to manually sift through, analyze, and tag customer feedback data to be used for roadmap and feature planning. Having to deal with and endless amount of copying and pasting feedback + fiddling with context limits in ChatGPT and Claude is also mind-numbing. We had several designers and UX researchers come inbound saying they have to sift through 100+ pages of customer research transcripts for themes 🤯.\n* It’s hard to know the exact volume of customers that are mentioning a specific problem or topic and having this data on hand is critical for sizing magnitude for problems when deciding what features or themes to prioritize.\n\n## **How It Works**\n\n**Consolidate feedback in one place**: Sales notes, user interviews, Slack requests, CSVs with customer feedbacks... unify them all in Inari. Inari ingests feedback from unstructured and structured sources, consolidates them into a unified hub, then provides a streamlined workflow to manage it all.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/2af2e6fe-cd27-440c-9b01-04280bc2bd08)\n\n**Automate feedback analysis**: Inari automatically analyzes customer sentiment and highlights top requests, defects, praises, and learnings across your customer feedback and interviews so your team doesn't have to review hundreds of sources manually.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/e23cb606-4066-4836-9a8e-d0f31088949c)\n\n**Surface product insights automatically**: Reduce churn and build delightful products based on insights, feature requests, bug fixes, and learnings that Inari extracts from connected feedback. Inari attributes insights to the feedback most related to it, so you can size how frequently an issue is mentioned when prioritizing your backlog.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/5b4dc325-9975-4d3c-8dc6-1ec5faa5bdb1)\n\n**Visualize customer trends**: Search, filter, and monitor trends in dashboards built on your consolidated feedback, insights, and customer data.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/735992d9-bf16-4b47-b3bd-ae79590a1e7e)\n\nCheck out the quick product demo [here](https://www.youtube.com/watch?v=N91aAfrWZ4E&t=5s).\n\n## **Founder Background**\n\nFrank and Eric met back in 2014 while working together at Amazon. Eric worked @ AWS for 7 years building out Sagemaker, owned their XGBoost image, and deployed algos for the US government before transitioning to full-stack eng for securely managing health and bio data @ Betteromics. Frank worked on ML algorithms an interfaces @ Opendoor between 2016-2020 and managed products like NBA Top Shot + business intelligence teams @ Dapper Labs and Amazon.\n\n## **Our Asks 🙏🏼**\n\n* If you know any teams struggling with extracting takeaways from their feedback data, whether it’s thousands of structured feedback from Zendesk or a few 10 page customer interview transcripts, send them our way and we’d love to help them out! Reach us at [frank@useinari.com](mailto:frank@useinari.com) or [eric@useinari.com](mailto:frank@useinari.com).\n* We’d love any feedback! Especially around how your team is currently managing feedback and roadmap items, any frustrations, and which datasets you need handled.",
        "url": "https://www.ycombinator.com/launches/JCX-inari-ai-powered-customer-insights-hub",
        "votes": 34,
        "created_at": "2023-08-04T14:55:51.908Z"
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        "date": "Jul 27, 2026"
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        "url": "https://semiengineering.com/ai-in-chip-design-lots-of-promise-plenty-of-unanswered-questions/",
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        "title": "👾 Silimate - Copilot for chip designers",
        "tagline": "Design the right semiconductors chips in less time",
        "body": "**TL;DR: Silimate helps chip teams converge to functional correctness and optimized PPA faster, so that they can build better chips in less time.**\n\n# \n\n# **❌ The Problem**\n\nThe world needs specialized semiconductor chips to be built faster for the rapidly-evolving software workloads in datacenters and at the edge.\n\nYet, chip teams today face time- and effort-intensive bottlenecks in converging to functional correctness and optimized PPA (power/performance/area). These bottlenecks account for most of the typical 12-18 month chip development cycle, and impede chip teams’ ability to make important changes to their designs in late project stages — when real, data-driven issues tend to surface from simulations.\n\n# \n\n# **✨ Our Solution**\n\nSilimate finds functional bugs, predicts PPA issues, and recommends real fixes in real-time alongside RTL development. Chip designers get a context-aware RTL companion that helps them write correct, PPA-optimized RTL from the onset, and build better chips in less time.\n\n**We’re live with chip design teams today.**\n\nIf you’re a chip designer or lead a chip design team, we can help you eliminate weeks/months from your design cycles. Reach out to us to schedule a live demo!\n\n# \n\n# **🌎 Why Now**\n\nDeath of Moore’s Law, an explosion of custom chip architectures, geopolitics, talent shortage, massive demand for AI chips, and increasing complexities in advanced chip design – we’re building the critical pickaxe for the AI and edge [silicon renaissance](https://www.forbes.com/sites/robtoews/2020/05/10/artificial-intelligence-is-driving-a-silicon-renaissance/?sh=3566b040553c).\n\n# \n\n# **👋 Contact us at [hello@silimate.com](mailto:hello@silimate.com) to learn more!**\n\n* If you’re a chip designer or lead a chip design team, email us – we’ll help speed up your RTL development cycles.\n* If you’re not a chip designer but know one (or a few), send them our way!",
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        "title": "🚀 Inventive.ai - AI-First RFP and Questionnaire Response Platform",
        "tagline": "Inventive enables sales teams to drive 70%+ efficiency in sales response workflows.",
        "body": "# **♥️ TL;DR ABOUT INVENTIVE ♥️**\n\n[Inventive](https://www.inventive.ai/?utm_source=yc&utm_medium=launch-yc) is on a mission to drive 10x productivity in sales workflows with AI Agents. Our product, the Inventive platform, enables sales teams to respond to RFPs and Sales Questionnaires in a fraction of the time.\n\nSee a short video here: <https://www.youtube.com/watch?v=dZdaD_1zo8Q>\n\n# **☝️ PROBLEM ☝️**\n\nIn the US, projects > $1 Trillion get allocated via RFPs. in public and private domains across technology, defense, construction & more. But responding to RFPs is daunting and challenging\n\n1. **RFPs are daunting:** Responding to RFP responses can take anywhere from a few hours to a few months\n2. **Dependency on SMEs:** Often require time and commitment from multiple teams within the organization:\n3. **Knowledge Management is a huge pain:** Keeping content fresh and up-to-date is a huge challenge.\n\n# **😃 MEET INVENTIVE 😃**\n\nInventive provides a series of agents and automation that enable sales teams to respond to RFPs and sales questionnaires 70% faster.\n\n1. **10X Faster Drafts With Highly Accurate Responses:** Inventive's proprietary AI models provide a first draft of RFP responses 10X faster. These responses are accurate, reliable, and rooted in the organization’s sources.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/1ca07bf9-9d8b-4032-afec-20416771da84)\n\n2. **Single Hub for All Your Knowledge Sources:** Inventive integrates with many of your enterprise platforms, curating a single source of truth for all your proposal and pre-sales assets and reducing the dependency on SMEs.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/832eef88-dca5-46e3-bfa6-cbfede9d6b26)\n\n3. **Fight Conflicting Content With AI Content Manager:** Inventive’s AI Content Manager proactively flags stale and conflicting content at scale, saving proposal teams a lot of time and manual effort.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/97898914-534e-43b0-bb97-a4f6f3b7e5bd)\n\n4. **AI Agents for Productivity & Competitive Advantage:** The Inventive platform has a number of AI Agents focused on strategic tasks and can help users with researching competitors, brainstorming creative ideas, and managing compliance.\n\n   ![uploaded image](/media/?type=post&id=84005&key=user_uploads/674339/5064df2e-50a0-463c-ba5e-1583309f1f2a)\n\n\n# **🎉 OUR CUSTOMERS LOVE US 🎉**\n\n> _“Inventive has been a game changer for us. We have been 3X more productive.”_\n\n> _“Our Solutions Engineering team has experienced remarkable improvements in speed and accuracy with Inventive.”_\n\n> _“We are being down selected and winning more RFPs than ever before!”_\n\n# **🗓️ REACH OUT 🗓️**\n\nBook a free demo at [http://www.inventive.ai/demo](https://www.inventive.ai/demo?utm_source=yc&utm_medium=launch-yc)",
        "url": "https://www.ycombinator.com/launches/Lqv-inventive-ai-ai-first-rfp-and-questionnaire-response-platform",
        "votes": 52,
        "created_at": "2024-09-13T15:02:15.238Z"
      },
      {
        "id": 73748,
        "title": "Inventive AI: Automate responses to sales information requests with AI",
        "tagline": "Generate reliable and accurate responses to security reviews, RFPs, DDQs, and RFIs and lower your time-to-revenue.",
        "body": "**TL;DR:** _Sales information requests are an important part of most sales deals. But they are long and tedious to complete accurately and need repeated involvement from senior team members. Inventive AI automates this process using AI. Our platform natively manages the fidelity of each response by providing sources, a confidence rating and automatically flagging stale content._\n\n### **Problem ⚠️**\n\nA sales information request like a security questionnaire, RFI, DDQ and RFP is an important step to complete in every sales deal. Each one’s a grind though! A typical sales questionnaire has an average of 77 questions and the average time to complete one is 32 human hours.\n\n* Coordinating the completion of a sales information request usually takes days to weeks depending on the complexity. Dhiren faced this challenge with his sales team at Viewics where they had momentum in the sales motion but they knew that this step would slow down time to revenue. No one person has the answers to all the questions which makes it challenging to search for answers in a knowledge base or chase down answers from the SMEs who are senior team members → and busy with their day job!\n* If an answer is found in a knowledge base, it’s difficult for the coordinator to ascertain if the content is current or obsolete. Inevitably, this uncertainty leads to a senior team member having to validate the answer. Result → Slows down the sales motion!\n\n### **Our Solution 👋**\n\nThe Inventive AI platform automates drafting responses that can be trusted and does so in a fraction of the time compared to the current process. We do this by:\n\n* **Generating responses grounded in facts:** We use your previous responses and connect to company knowledge bases to generate a response. For each answer, we include easily accessible citations to the sources used to generate the answer.\n* **Creating a Confidence Rating:** We generate a confidence rating for each answer and automatically flag answers that need review.\n* **Detecting Stale Content:** We automatically flag content that could be obsolete and thereby inaccurate.\n* **Creating compelling answers:** You have control over the tone of the answers while keeping the facts intact.\n\nOur goal is that you only have to **_verify responses,_** not create them from scratch for every sales information request. Most existing SaaS tools cater to streamlining the process of response creation. With our AI native solution, our customers only verify flagged answers while we do the heavy lifting of generating an accurate response to each question.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/150549/7482b2fd-7d43-4036-a5ce-50016d40c592)\n\n### **Team** 🍻\n\nWe are an SF Bay Area native team who met through our friend’s circle and hit it off on our love and passion for AI & building businesses.\n\n[**Dhiren**](https://www.linkedin.com/in/dhiren9/) previously founded and led Viewics (series-B, acquired by Roche), a SaaS company in healthcare analytics that managed data for **100Mn+ patients** across customers like Mayo Clinic, University Hospitals, and Children’s Hospitals.\n\n[**Gaurav**](https://www.linkedin.com/in/gauravnemade/) was a product manager at **Google AI and Google Brain** and led go-to-market for the LLM platform - LaMDA - which eventually ended up powering Google Bard v1.\n\n[**Vishakh**](https://www.linkedin.com/in/vishakhhegde/) led mission-critical Machine Learning efforts at **Ambient AI** (YC17, A16z) and has authored a book on Deep Learning. He has a Masters's in ML from Stanford.\n\n[**Waffle**](https://photos.app.goo.gl/wbrecuk6xnHjBim68) is a world leader in sniffing for treats and cheering us up on hard days. She is our (non-AI) Happiness Agent.\n\n![uploaded image](/media/?type=post&id=73748&key=user_uploads/1359485/ef976aa8-0d12-410f-a569-6b44fc5a2247)\n\n### **Requests** 👋🏻\n\n* If you have ever dealt with requests like security questionnaires or RFP, we would love to get in touch! [**Reach out to us!**](https://tally.so/r/w7LDD6)\n* Email us to schedule a demo - [**founders@getinventive.ai**](mailto:team@getinventive.ai)\n\nBeing built with ❤️ by team Inventive :)",
        "url": "https://www.ycombinator.com/launches/JBU-inventive-ai-automate-responses-to-sales-information-requests-with-ai",
        "votes": 28,
        "created_at": "2023-08-03T15:06:47.318Z"
      }
    ]
  },
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    "id": 29042,
    "name": "Santé",
    "slug": "sante",
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    "website": "https://santehq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "",
    "one_liner": "All-in-one POS for liquor stores",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1684850998,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "Retail"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Retail"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sante",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/sante.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d10be62025bd08a71a16a6b40cd46744ed418b47.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 944994,
        "full_name": "Darren Fike",
        "title": "Founder",
        "founder_bio": "10 years of Sales and Marketing experience at startups like Fast and Bond. \n\nCurrently: Co-Founder / CEO of Santé; Toast for liquor stores. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/darrenfike",
        "x_url": "https://twitter.com/darrenfike",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46f25949476ef21e88a9939fe30391f32bde160c.jpg"
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    ],
    "jobs": [
      {
        "id": 79917,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/sante/jobs/7rJnVUS-sales-development-representative",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "0.15% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 85970,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/sante/jobs/oxtGcli-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 86945,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/QnEEC9K-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102678,
        "title": "Customer Experience Manager",
        "url": "https://www.ycombinator.com/companies/sante/jobs/hZPgZ7E-customer-experience-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "title": "Head of Content",
        "url": "https://www.ycombinator.com/companies/sante/jobs/p2P43c9-head-of-content",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 105460,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/uqzHIY0-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105461,
        "title": "Senior Engineer - Money Movement",
        "url": "https://www.ycombinator.com/companies/sante/jobs/244pt5F-senior-engineer-money-movement",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$230K - $300K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105462,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/JZuHyLJ-founding-growth-marketer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.10% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112874,
        "title": "Product Designer",
        "url": "https://www.ycombinator.com/companies/sante/jobs/sZ66lLT-product-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$120K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [],
    "launches": [
      {
        "id": 73086,
        "title": "Santé - The all-in-one POS for liquor stores",
        "tagline": "Manage your business in one powerful application specifically built for liquor stores.",
        "body": "# Overview\n\nSanté is the all-in-one POS for liquor stores. Our mission at Santé is to empower tens of thousands of liquor store owners to run their businesses more efficiently using modern software.\n\n# Problem\n\n91% of liquor stores are independently owned and operated. Stores are often understaffed and rely on antiquated systems to manage day-to-day operations. A few examples of common problems for liquor stores:\n\n* Spending hours per week on manual data entry for inventory receiving and creating purchase orders.\n* Dealing with complex interstate regulations to sell liquor online (a growing trend).\n* Working with poor integrations for local delivery (Drizly, DoorDash, Instacart, etc).\n* Mishandling products at checkout because many beers/wines do not have barcodes.\n* Losing sales due to poor integration between their POS and marketing tools.\n* Losing a meaningful portion of their inventory to theft ($5B+ lost across the industry annually).\n\nIn fact, one of our early customers called this industry a “dinosaur industry” after sending us this picture:\n\n![uploaded image](/media/?type=post&id=73086&key=user_uploads/944994/e85195fe-bd46-4385-9b1f-6fc29d05eff4)\n\n# Solution\n\nWe’re helping independent liquor stores run thriving businesses with a POS built from the ground up to serve their specific needs:\n\n* **Simple Receiving:** Saving hours per week with automated inventory receiving and purchase order management\n* **Theft Monitoring:** Using RFID tags on every bottle to track when stolen bottles are leaving the store\n* **Compliance Management:** Source of truth on state-by-state shipping so that stores can open a new revenue stream and ship to all available states across the country\n* **Robust integrations:** Cutting costs by giving store owners all the tools they need to run their business with one subscription to Santé\n\n# Founders\n\n[@Darren](https://www.linkedin.com/in/darrenfike/), Santé’s CEO, was the top sales rep at his last two startups, and he has a passion for wine. Last year, he realized that his favorite local liquor stores in NYC still heavily rely on pen and paper. To learn more about the problem, he spent the next four months working at Frankly Wines on nights and weekends and interviewed over a hundred liquor store owners.\n\n[@Antoine](https://www.linkedin.com/in/antoinebalaresque/), Santé’s CTO, is a UC Berkeley alum and has founded multiple startups in the past in robotics, e-commerce, and SaaS. He is originally from France.\n\n# Give us a hand!\n\nHave any friends or family that work in the liquor store industry that would be interested in a casual discovery call? \n\nReach out to Darren at [darren@santehq.com](mailto:darren@santehq.com) to coordinate an intro. ",
        "url": "https://www.ycombinator.com/launches/J0o-sant-the-all-in-one-pos-for-liquor-stores",
        "votes": 28,
        "created_at": "2023-07-14T18:31:57.403Z"
      }
    ]
  },
  {
    "id": 29080,
    "name": "Smobi",
    "slug": "smobi",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d332393d7c5b5f27e1a2f82f8ec54fa8b38e21a1.png",
    "website": "https://smobi.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Smobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.",
    "one_liner": "Send texts your customers actually want over RCS",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1689048246,
    "tags": [
      "B2B",
      "API",
      "Marketing",
      "SMS",
      "Telecommunications"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/smobi",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/smobi.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getsmobi/",
    "x_url": "https://twitter.com/GetSmobi",
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    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d332393d7c5b5f27e1a2f82f8ec54fa8b38e21a1.png",
    "app_video_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 846621,
        "full_name": "Kunal Puri",
        "title": "Founder",
        "founder_bio": "I spent 4 years building out communication systems for Amazon Advertising, and got my first taste of entrepreneurship when I created a Minecraft server that generated over 250K at the age of 15.\n\nNow I'm building Smobi - the AI-powered platform for branded, interactive business messaging, starting with RCS. We help businesses send rich, personalized messages that drive engagement, build trust, and create real conversations.\n\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/kunal-puri1",
        "x_url": "https://twitter.com/thekunalpuri",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/740e9a422d9032c9b4ac7fd1f5a56c7fce81ce02.jpg"
      },
      {
        "user_id": 275990,
        "full_name": "Michael Ning",
        "title": "Founder",
        "founder_bio": "Founder and CTO @ Smobi (YC S23), a business for sale marketplace with verified buyer and listing data.\n\nFormerly Dover (YC S19)\n",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/mning1598",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a4ea26d5c55edcd9053b9cb13537a889dbc4576.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93769,
        "title": "Smobi - Business Texting Reimagined.",
        "tagline": "We help businesses 5x their engagement with interactive & conversational texts over RCS.",
        "body": "Hey everyone, I’m [Kunal](https://www.linkedin.com/in/kunal-puri1/) - founder of Smobi 👋\n\n# **📖 TLDR**\n\nSmobi is the AI-powered platform for branded, interactive business messaging, starting with RCS. We **help businesses send rich, personalized texts** that build trust, drive engagement, and create real conversations.\n\nIf SMS messaging is part of your strategy, we’d love to show you how you can do more!\n\nBook a Demo: https://www.smobi.com/contact\n\n# **🎬 Our Launch Video:**\n\nhttps://www.youtube.com/watch?v=oJkl6m7RxgI\n\n# **‼️ Why This Matters**\n\nModern customer engagement is broken. Despite the abundance of messaging channels - email, SMS, WhatsApp, in-app notifications, and voice - most brand communications feel impersonal, transactional, and spammy. **Consumers are overwhelmed with noise**:\n\n* 82% of consumers received a spam text in the past week\n* 70% of consumers will penalize a business for a poor communication experience\n* 35% of consumers are annoyed by impersonalized and irrelevant content\n\nMessages go unread. Calls go unanswered. Engagement is at an all time low. The problem is clear, all of us have felt it.\n\n# **🛠 Our Solution**\n\nRCS addresses these issues with verified, branded, and interactive messages and it is finally here in the US. However most businesses don’t know it exists, and the few that do are still figuring out how to use it.\n\n**Smobi changes that**. We know exactly how to unlock RCS to drive real value.\n\nWith Smobi, you can:\n\n* 👷 Create complex AI-powered conversational flows in minutes\n* 🚀 Launch them via API or campaign\n* 📊 Analyze every tap, interaction, and read\n\nWe also handle the strict carrier vetting and compliance, so you don’t have to.\n\n**The results speak for themselves**:\n\n* ⚡ On average, 5 - 10x the engagement vs SMS\n* 🎯 4x higher CTR than SMS\n* 💳 Up to 3x increase in purchase intent\n\n# **🙏 Join Us**\n\nWe’re already helping innovative businesses in industries such as healthcare, entertainment, and fintech, leverage RCS to provide the most unique experiences for their customers. \n\nIf you’re interested in doing the same, let’s talk.\n\n\\\nBook a Demo: https://www.smobi.com/contact\n\n![uploaded image](/media/?type=post&id=93769&key=user_uploads/846621/98237455-fafd-4894-959d-7b955b4fde85)\n\n",
        "url": "https://www.ycombinator.com/launches/OOP-smobi-business-texting-reimagined",
        "votes": 12,
        "created_at": "2025-09-11T16:36:35.923Z"
      },
      {
        "id": 73135,
        "title": "Smobi - New age marketplace for businesses for sale",
        "tagline": "Bringing main-street business acquisitions to the 21st century",
        "body": "# Overview\n\nHi everyone, we’re [Kunal](https://www.linkedin.com/in/kunal-puri1/) and [Michael](https://www.linkedin.com/in/mning1598/) from [Smobi](https://smobimarket.com/)!\n\nSmobi is a marketplace that makes it **easy for buyers** to purchase brick & mortar small businesses. We do this by **verifying business listing data** and **managing deal-flow** on our platform.\n\nWebsite: [smobimarket.com](http://smobimarket.com)\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fc69c6f56-e67a-45b9-904d-ee8c7ea7f4f0_3456x1812.png)\n\n### **The Problem:**\n\n* Buyers have to go through numerous listings to find quality businesses because most listings are **incomplete and misrepresented**\n* Business brokers and owners who are looking to sell, **waste their time** working with buyers who aren’t qualified to purchase their business\n* In the past 30 years, technology has only changed the business for sale market in **two** ways:\n  * Listings have moved online instead of being in the local newspaper\n  * Financial documents are emailed instead of being sent via mail\n* The baby boomer generation is retiring over the next decade, who owns **1\\.4 million businesses** that will close their doors unless they are sold to someone willing to buy them\n\n### **The Solution:**\n\nFor those looking to buy, we utilize first and third party data to screen listings, so buyers are looking at the complete picture of the business that is for sale. Buyers can keep track of the state of each of the listings they are interested in and manage deal flow on the platform.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4c68aba5-bbb6-4d50-9daf-4afef20fb191_3456x1822.png)\n\nAdditionally, we create NDA protected data rooms with more in-depth documents for each listing on our website. If the broker / seller of the business thinks you’re a good match for buying the business, we send the data room to the buyer.\n\nFor those looking to sell their business, we create a comprehensive profile for each buyer that is interested in a listing that the seller has created. Using data that the buyer has provided and our internal business logic, we classify how well of a match a person is for your business, ultimately saving time in your search for a buyer.\n\n![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F465d0d7a-7313-4cb9-a80a-e6011294ea8c_3454x1828.png)\n\n### **Our Vision:**\n\nOur long term vision is to **digitize the entire acquisition process** for main-street businesses, ultimately making small business ownership attainable for everyone.\n\n### **Who Are We?**\n\nHi everyone, we are Kunal and Michael, and we are building Smobi. Our mission is to make small business ownership attainable by everyone.\n\nKunal formerly worked in Amazon Advertising, where he built several notification delivery channels that supported 10B+ communications annually. Kunal spent over 6 months in 2022 looking to purchase multiple SMBs and found the process of finding and purchasing a business to be extremely complex, especially for a first time buyer.\n\nBefore Smobi, Michael worked at another YC startup, Dover, as an early engineer where he worked on growth initiatives and building AI products.\n\nKunal and Michael grew up together, have known each other for 10 years, and now both reside in NYC. Together, we are attempting to simplify the small business acquisition process for all parties involved.\n\n![uploaded image](/media/?type=post&id=73135&key=user_uploads/846621/2ed626b9-972e-4a72-84c0-fe19ecf48dee)\n\n### **Our Asks**\n\nThank you for reading about Smobi! We welcome any feedback for our platform as we are just beginning!\n\n* **Sign up today**: Sign up and browse 700+ businesses for sale and get notified when businesses come up for sale tailored to your preferences.\n* **Join our newsletter**: Sign up for our [blog](https://smobi.com/blog) for guides on how to buy and sell SMBs!\n* **Give us your feedback**: Tell us more about what criteria and information you would want before purchasing a SMB\n* **Connect us**: Help us connect with SBA approved lenders, business brokers, people looking to purchase small businesses, and owners looking to sell their business",
        "url": "https://www.ycombinator.com/launches/J1b-smobi-new-age-marketplace-for-businesses-for-sale",
        "votes": 44,
        "created_at": "2023-07-17T14:37:58.227Z"
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    "long_description": "Generate AI agents with plain English, edit visually, customize with code in your own IDE. Currently automating millions of tasks across support, sales, finance and more for companies like eToro, Payoneer and JustEat.",
    "one_liner": "Cursor for AI Agents",
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        "full_name": "Ohad Navon",
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        "full_name": "Nadav Zamir",
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        "founder_bio": "Launched the Chinese Google Photos as Director of AI at Alibaba, becoming the #1 app in China.\nEx-CTO & Co-founder at Galigu, search engine for VR, raised money, launched product, but VR wasn’t there yet. \nBuilt the world’s first wireless VR headset at Intel launched at CES by Intel's CEO. ",
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        "id": 74302,
        "title": "🐙 Octo - AI agents to replace customer support outsourcing",
        "tagline": "We generate AI agents from historical data to instantly resolve 70% of support tickets",
        "body": "Hey YC fam, we’re [Ohad](https://www.linkedin.com/in/ohad-navon-639b356a/) and [Nadav](https://bookface.ycombinator.com/user/1422243), founders of [Octo.](http://getocto.ai)\n\nOcto is an AI agent that actually replaces support outsourcing - it can take **actions via APIs**, read help center article, and email/chat with customers\n\nTop support teams from top 500 Amazon brands to fintech unicorns are using Octo to **replace 70% of their support team**.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/c6c5c471-9dc6-4498-bcf5-1b750dc4e5cf)\n\n### Support teams can’t build good chatbots\n\nAfter chatting with 100+ support teams we found that support teams lack the tools to build good bots, and even simple issues like refunds are often escalated to human agents.\n\nHere’s a real screenshot from one of our customers who spent **6 months building their chatbot** (which was ultimately implemented by professional services team at Intercom!), resulting in **<15% of tickets solved.**\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/20ce41c6-b478-4173-905f-c683df59b7a7)\n\n### Octo resolves 70% of tickets instantly\n\nOcto makes it really easy to connect to the CRM, help center articles and internal systems via APIs, to instantly generate **human-level AI agents** from historical data.\n\nThere are 3 main reasons our AI agents can solve more tickets:\n\n1. **Taking actions via APIs** - based on our real-world experience about 80% of tickets require pulling customized data or take actions on behalf of customers.\n2. **Learning from past tickets** - enabling significantly higher accuracy and eliminating the frequency of AI hallucinations. Technically speaking we’ve built retrieval augmented generation that can easily generalize across customers and industries.\n3. **Multi-party conversations** - much of the work of human agents often involves tasks outside of the ticket itself like investigating delays with couriers.\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/6e027f10-fec4-4147-a7de-0232e106176e)\n\n### Built by AI Engineers\n\n![uploaded image](/media/?type=post&id=74302&key=user_uploads/158086/8c74656a-fdd0-4da0-8015-68c140cc33d4)\n\nOcto’s accuracy draws from Nadav’s experience as **Director of AI at Alibaba** where he built and launched LLMs to improve Alibaba search used by millions of consumers every day.\n\nThe idea was born when Ohad launched an AI support chatbot that took Roundforest **to $1B GMV.**\n\n### The ask\n\n* **Take Octo for a spin** - tell us what’s your most painful support use case and we’ll create a personalized demo of Octo based on your support context.\n* **Spread the love -** if you can think of other support teams that are overworked and looking to automate their customer support we’d really appreciate and introduction 🙏\n\nSounds interesting to you? Email us at [founders@getocto.ai](mailto:founders@getocto.ai)",
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        "created_at": "2023-08-22T14:43:16.720Z"
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    "one_liner": "AI agents that run insurance operations",
    "team_size": 21,
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        "full_name": "Amir Prodensky",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Strada. Previously PM @ Revolut.",
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        "full_name": "Brian Fernandez",
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        "equity_range": "0.05% - 0.10%",
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        "title": "Senior Full-Stack Engineer",
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        "experience": "6+ years",
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        "title": "Product Manager",
        "url": "https://www.ycombinator.com/companies/dili/jobs/VzbrBab-product-manager",
        "location": "New York, NY, US",
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        "title": "DevOps Engineer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/mTPjPZe-devops-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$180K - $220K",
        "equity_range": "0.10% - 0.20%",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Docker",
          "Terraform"
        ]
      },
      {
        "id": 103107,
        "title": "Demand Gen Marketer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/vRGv4ue-demand-gen-marketer",
        "location": "New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$95K - $225K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108688,
        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/VkpvtaS-senior-qa-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "QA engineer",
        "salary_range": "$160K - $190K",
        "equity_range": "0.05% - 0.20%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108949,
        "title": "Senior QA Engineer",
        "url": "https://www.ycombinator.com/companies/dili/jobs/xVXDovT-senior-qa-engineer",
        "location": "New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111953,
        "title": "Sale Operations Manager",
        "url": "https://www.ycombinator.com/companies/dili/jobs/e0gtTc4-sale-operations-manager",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116802,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/dili/jobs/BUyQpRH-founding-recruiter",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiting lead",
        "salary_range": "$150K - $195K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117032,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/dili/jobs/6XscHNV-founding-recruiter",
        "location": "New York City, NY / Remote (US)",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117462,
        "title": "Customer Success Specialist",
        "url": "https://www.ycombinator.com/companies/dili/jobs/8smosJB-customer-success-specialist",
        "location": "New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$70K - $90K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Dili raises $21.7M to bring AI compliance to the infrastructure boom | TechCrunch",
        "url": "https://techcrunch.com/2026/07/30/dili-raises-15-million-to-bring-ai-compliance-to-the-infrastructure-boom/",
        "date": "Jul 30, 2026"
      },
      {
        "title": "Dili Raises $21.7m from Khosla Ventures to Bring AI-Powered Assurance to America’s Infrastructure Boom",
        "url": "https://finance.yahoo.com/technology/ai/articles/dili-raises-21-7m-khosla-193900367.html",
        "date": "Jul 29, 2026"
      },
      {
        "title": "Dili wants to automate due diligence with AI | TechCrunch",
        "url": "https://techcrunch.com/2024/02/19/dili-wants-to-automate-due-diligence-with-ai/",
        "date": "Feb 19, 2024"
      },
      {
        "title": "Y Combinator Demo Day 2023: Our favorites Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/07/ycombinator-demo-day-two-summer-2023/",
        "date": "Sep 07, 2023"
      }
    ],
    "launches": [
      {
        "id": 82651,
        "title": "Dili: The most reliable AI for diligence on high-stakes deals",
        "tagline": "Dili has provided diligence and red flags on 3000+ deals across tax credits, real estate, private credit and PE.",
        "body": "Hi everyone, we are Brian and Anand. We had a big month at Dili with +210% revenue growth MoM, and we wanted to publicly share how Dili can improve underwriting and investment outcomes for our customers.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/5c9775a5-577f-46a8-b175-df7c53aa86e7)\n\n**🧨 The Problem: Due Diligence is time-consuming, prone to human error, and today’s AI is not equipped to handle these mission-critical workflows**\\\n\\\nDue diligence today can mean spending weeks digging up data in datarooms using your domain-specific knowledge and presenting findings in memos to make multi-million-dollar investment decisions. All of this work is manual, time-consuming, and very often prone to human error. There are several cases where it is not feasible to have a human sift through 100’s of documents to find the red flag buried deep in the data room. Today’s AI models are not accurate enough to assist with mission-critical use cases like underwriting $60M+ tax credit transactions, $100M+ loan & lease abstraction, deal screening, and drafting investment memos.\\\n\\\n**🧿 The Solution: Dili’s AI Platform reads every file to generate relevant reports - with confidence scores.**\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/a75b94cc-08d8-475d-87eb-2722f0f2ff4b)\n\nDili is built to be the most reliable platform for automating diligence and portfolio management workflows. It can read every file in a dataroom and provide reports with confidence scores on every output so you know when something needs your attention. Using the in-app file viewer, you can inspect sources directly with text highlighted.\n\n![uploaded image](/media/?type=post&id=82651&key=user_uploads/312266/1ce274aa-4733-4e59-aca9-d9275250bac9)\n\nFirms can now tune Dili using their domain knowledge and instructions to fit their custom templates, reports, and SOPs. Using this fine-tuned expertise, Dili has found and fixed critical red flags and human errors on several multi-million dollar transactions across 3000+ deals.\n\n**Dili has been used to automate:**\n\n✅ **Tax credit** diligence to validate credits and underwrite risk on transactions\n\n✅ **Real estate** OM screening, loan, and lease abstraction\n\n✅ **Private Equity and Private Credit** deal screening and DD checklists\n\n✅ **VC** portfolio monitoring and drafting investment memos\n\n<https://youtu.be/hZfjKyGg1bU>\n\n### **👋 Ask: How you can help**\n\n* If you are involved in tax credit, real estate, or private credit/PE transactions, we’d love to share how Dili can help you. Book a demo [here](https://calendly.com/anand-dili-ai/30min).\n* Follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)!",
        "url": "https://www.ycombinator.com/launches/LV5-dili-the-most-reliable-ai-for-diligence-on-high-stakes-deals",
        "votes": 15,
        "created_at": "2024-08-01T19:01:58.230Z"
      },
      {
        "id": 73138,
        "title": "🧿 Dili: Accelerating due diligence with AI",
        "tagline": "Dili is the newest analyst on your deal team - who lets you complete due diligence in hours, not weeks.",
        "body": "**_Tl;dr:_** _Dili is an AI platform that accelerates manual tasks involved in the due diligence process for both buy- and sell- side deal teams. We make it easier for the buy-side (PE/VC funds) to invest in and buy companies, and for the sell-side to streamline due diligence processes for capital raises or M&A. Dili helps you make data-driven investment decisions through due diligence - from understanding the deal dataroom, leveraging your firm’s internal knowledge, to crafting investment deal materials. _[_Contact us here_](https://www.diliai.com/)_._\n\n\\\nHi everyone, we are Stephanie, Brian, and Anand - the co-founders of Dili! After working together at Coinbase, we decided to take on the challenge of making the due diligence process for capital markets more efficient for both buy-side and sell-side deal teams.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/1392cf6c-9a41-45c9-b07c-eba28b21eb7b)\n\n### **🧨 The Problem: Due diligence is a time-consuming, manual process that is required for doing deals**\n\nStephanie (CEO, Co-founder) spent years working in investment banking, corporate development, and venture capital doing over $500m+ in deal volume. Her job consisted of several hours a day of tedious, manual tasks and workflows while conducting due diligence on deals. Today, due diligence means spending weeks or months carefully reading through company datarooms, digging up data across internal tribal knowledge & external sources, and analyzing or presenting findings in memos to make million dollar investment decisions.\n\nThis time-consuming, manual process means investors see fewer deals per year - and cannot dive deep enough on thorough due diligence for each deal. (i.e., JP Morgan’s recent acquisition of Frank!)\n\n### **🧿 The Solution: Dili’s AI platform that helps you make better investment decisions**\n\nDili is an LLM-powered platform that creates insights and analyses for investors which sits on top of 3 sources of data: 1.) the dataroom from the company you are doing due diligence on, 2.) a custom built structured internal knowledge database for your unstructured data, 3.) data integrations from your favorite external partners. Our solution helps you conduct data-driven due diligence because it improves the quality of due diligence conducted. LLMs run on top of all available internal and external data to provide you with better analyis and insights, making it 5x faster by automating the most manual parts of the process.\n\nImagine a new deal comes across your desk - you can use Dili to deeply **understand the information in a dataroom**, automatically find anomalies or red flags, and instantly calculate financial metrics/models.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/c0e1c5c7-e38b-4a87-909f-5e11f7c9cb65)\n\nIf you wish to proceed with the deal - Dili structures and searches through your firm’s **internal knowledge base** as well as **external sources** (Pitchbook, Crunchbase, Tegus, LinkedIn etc.) to provide comprehensive comparables analysis and dashboard metrics for each new deal.\n\n![uploaded image](/media/?type=post&id=73138&key=user_uploads/312266/20b06589-6dbf-4335-b6dd-a4038b83a363)\n\nFinally, as you are coming to a thesis and writing an investment memo - Dili can put together a **first-cut memo / deal packet in minutes**, not days.\n\nUsing Dili, **PE & VC Firms**:\n\n✅ Conduct a due diligence deep dive on several more companies per year\n\n✅ Catch red flags early during due diligence (like Frank’s list of fake usernames) to potentially save millions\n\n✅ Search through a database of every company your firm has seen, to find comparables across your entire knowledge base\n\n✅ Get AI-enhanced insights to make better data-driven investment decisions\n\n### \n\n### **👋 Ask: How you can help**\n\n* If you’re an **investor** looking to improve your due diligence process, we’d love to share how Dili can help you. [Book a demo here.](https://calendly.com/steph_dili/30min)\n* If you are a **startup** planning to fundraise soon, we could help make this process easier. [Contact us here.](https://mailto:sales@diliai.com?subject=Connecting%20you%20to%20Dili)\n* Please share this post, and follow along on [LinkedIn](https://www.linkedin.com/company/dili-ai/) & [Twitter](https://twitter.com/dili_ai)! 🧿",
        "url": "https://www.ycombinator.com/launches/J1e-dili-accelerating-due-diligence-with-ai",
        "votes": 76,
        "created_at": "2023-07-17T15:57:36.172Z"
      }
    ]
  },
  {
    "id": 29110,
    "name": "AiSDR",
    "slug": "aisdr",
    "former_names": [
      "AI SDR"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png",
    "website": "https://aisdr.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AiSDR builds Ami, an AI sales agent that helps B2B companies find customers and book meetings.\r\n\r\nGive Ami your website. It researches your business, recommends who to target and why now, and builds an outreach plan. Once you approve, it runs personalized campaigns across email and LinkedIn, follows up, handles replies, and books meetings.\r\n\r\nAmi keeps working after launch. It monitors results, spots problems with targeting or messaging, and recommends changes or applies them within the rules you set. It remembers your decisions and campaign results, so each campaign builds on the last.\r\n\r\nBuilt on lessons from 17,000+ real AiSDR campaigns, Ami gives founders and small teams sales strategy and execution in one place, without having to manage every step themselves.",
    "one_liner": "AI that finds the right buyers and books sales meetings",
    "team_size": 34,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1685885661,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/aisdr",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/aisdr.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aisdrapp/",
    "x_url": "https://x.com/runAISDR",
    "fb_url": "https://www.facebook.com/aisdrapp",
    "cb_url": "https://www.crunchbase.com/organization/aisdr",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c4ee33b19412517e139da731ca8d250eae8eee8.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8eb452f53a4fc3d4d0353ec4197b8153accff844.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 208580,
        "full_name": "Yuriy Zaremba",
        "title": "Founder/CEO",
        "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.).\n\nGrew AXDRAFT from $0 to $2M through founder-led sales, managed a $10M ARR business line for the acquiring company.\n\nSkilled crisis management: navigated company through war in Ukraine with uninterrupted business continuity and high ARR growth.\n\nStarted AiSDR in 2023 to automate sales prospecting with generative AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuriy-zaremba",
        "x_url": "https://twitter.com/YuriyZaremba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/810f10a93d56372b391fad4f9e7a225659d4226c.jpg"
      },
      {
        "user_id": 217579,
        "full_name": "Oleg Zaremba",
        "title": "Founder",
        "founder_bio": "2x YC alumni, 1 exit (AXDRAFT acquired by Onit Inc.).  \n\nLed the engineering, product and QA teams that built AXDRAFT. Post-acquisition led the cross-product integrations and AI initiatives (3 generative AI products and 1 ML product). \n\nAchieved and maintained security standard (SOC 2 Type 2) for AXDRAFT 3 years in a row including during war times in Ukraine.\n\nStarted AiSDR in 2023 with my brother Yuriy to automate sales prospecting with generative AI.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oleg-zaremba",
        "x_url": "https://twitter.com/olzare",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b7e3cb09fde63a25928ed629a1776f59f60315b.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "EXCLUSIVE: Ukrainian-founded startup AiSDR ropes in €2.7M to develop an AI-powered tool designed to replace human SDRs | Silicon Canals",
        "url": "https://siliconcanals.com/news/startups/ukrainian-founded-aisdr-gets-2-7m/",
        "date": "Nov 28, 2023"
      }
    ],
    "launches": [
      {
        "id": 114134,
        "title": "Ami by AiSDR: AI GTM agent that builds your full outbound motion",
        "tagline": "Trained on 3 years of data across 27 industries, 17k+ campaigns and 20k+ booked meetings",
        "body": "Hey YC 👋\n\nYuriy here - founder of AiSDR (YC S23). This is my second YC company. The first (AXDRAFT – YC W19) was acquired by Onit in 2020.\n\nToday we’re launching **Ami**, an AI GTM agent that already knows what good outbound looks like. Ami builds your campaign, and runs it across email and LinkedIn until a meeting’s booked.\n\nWhat makes it different is what happens next. Ami remembers every campaign it’s run for you, spots what isn’t working, fixes it on your say-so, and tells you what to run next.\n\n## TL;DR\n\n* Point Ami at your website and it builds your campaign in 20 minutes against what’s worked across 17,150+ campaigns across 27 industry-specific playbooks. \n* Every decision is driven by data, and Ami pushes back when it thinks your direction is off.\n* Targeting is pain-based. Ami looks for evidence that someone has your problem right now, and validates the timing before sending a message.\n* Ami remembers everything it’s run for you, so Month 3 is better than Month 1.\n* Self-serve for $250/month. No demo required to start.\n* **Try it at** <https://aisdr.com/ai-gtm-agent-ami/>\n\n[Launch video](https://www.youtube.com/watch?v=Z--7OETsjrs)\n\n## The Problem\n\nAI outbound got very good at scaling noise. But it struggled at making sales judgments.\n\nAlmost every AI SDR, ours included, assumed the human would bring the strategy, define the ICP, create the angle, and hit approve. The AI would take it from there and do it all faster than any human.\n\nThis works if you already know what a good campaign looks like. A lot of people buying these tools don’t:\n\n* First-time founders running founder-led sales\n* First sales hires\n* 2-person GTM teams\n\nWorking out which of 42+ possible audiences is worth spending time on and deciding what to say is a skill built over years. \n\nSo we handed that decision back to buyers and called it control. So did everyone else.\n\nWhat came out the other end is thousands of messages and full dashboards, but zero pipeline.\n\nThe missing piece was never speed. It was judgment. And no one had automated it.\n\n## Our Solution – Ami AI\n\nFor 3 years, we built execution: research, writing, sequencing, deliverability, reply handling. And the thing customers kept telling us was still hard was the part we hadn't automated – deciding what campaign to run in the first place, and when to stop and pivot to something else.\n\nThe number that settled it was 80% of our customers were using our campaign generator instead of building campaigns by hand, even though building gave them far more control. \n\nPeople wanted a decision rather than controls.\n\nSo we took what we learned from over 17,150 campaigns run on the platform in the past 3 years, and built the agent that does it. \n\nThat's Ami.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/7df84866-6f8f-476e-8d12-7e12ad99005d)\n\n### Where Ami’s judgment comes from\n\nIn a nutshell, 3 years of running outbound as a company that sells outbound. As of September 2026, this means (adding daily):\n\nCampaigns run - 17,150\n\nEmails sent - 2,546,096\n\nMeetings booked - 19,501\n\nCustomers served - 1,150\n\nIndustries served - 27\n\nEvery one of those campaigns taught Ami something about what lands, in which industry, at what moment. That's the part you can't buy off the shelf, and that’s why this took three years.\n\n**1. Ami builds your campaign from your website, CRM, and industry best practices, against everything we’ve learned:** Give Ami your URL and it reads your site, and share access to your CRM. Ami then runs what it found against your industry and the 17K+ campaigns we’ve done over 3 years, and comes back with the angles and audiences you need. You can argue with Ami: narrow the ICP, push a different angle, or ask why it picked what it did.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/c36e16a8-d236-41be-bb97-8f133a06f758)\n\n**2. Ami targets pains:** Most tools match a profile and hope the timing is right. Ami looks for evidence someone has the problem you solve. There's no fixed database. Describe who you want and Ami finds them, with data verified at the time of the search.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/59022bd3-8755-4def-9ecb-2c47fac6b9ab)\n\n**3. Ami remembers, and it gets better at your sales motions**: This is where Ami’s value compounds. Ami keeps every campaign it’s run for you: angles that landed, segments that went quiet, objections that kept coming up, and things you tried. It tells you what’s breaking and why when performance drops, and it makes fixes once you give the green light. Month 3 is better than Month 1 because Ami has 3 months of your outbound in its head. \n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/031002d5-65f8-4470-91c3-97fc2a0caae7)\n\nAn AI that learns your business and doesn’t need babysitting is what this category’s promised since Day 1 (ours included). It took 3 years, 17K campaigns, and 2.5M emails before we had enough to build it..\n\nYou don’t have to be good at outbound to win with Ami.\n\nThat’s the whole point.\n\n![uploaded image](/media/?type=post&id=114134&key=user_uploads/208580/f47e2f0d-2f4b-4255-b482-98cecdc06982)\n\n### **What it produces**\n\nMedians across our customer case studies:\n\nConnection acceptance (LinkedIn) - 32.42%\n\nResponse rate (email) - 4.92%\n\nPositive response rate (email) - 1.02%\n\nPositive response rate (LinkedIn) - 3.4%\n\nMeeting booked rate - 0.54%\n\nMeetings per 1,000 leads - 6–10\n\n## The team\n\n**Yuriy Zaremba (CEO)**: 2x YC founder. 8+ years in B2B sales. Previously co-founder and CEO of AXDRAFT (W19, acquired by Onit in 2020).\n\nAiSDR’s team of 35 works across the United States, Ukraine, and Poland. 200+ customers. 4.6/5 on G2 across 101 reviews. SOC 2 certified.\n\n## Our ask\n\n* **Try it at** <https://aisdr.com/ai-gtm-agent-ami/>. Solo plan is $250 per month, self-serve, with no demo required. YC companies get 50% discount.\n* **Share the signup link**. Send it to someone who might find it useful since signup is free.\n* **Follow us on LinkedIn.** Share our launch posts.\n* **Tell us what broke for you**. If you’re doing founder-led sales and you bounced off an AI outbound tool, we want to hear where it failed: targeting, messaging, execution. Conversations like this are what built Ami.\n* **Intros**. B2B SaaS founders at 10-200 person companies that want to try AI outreach.",
        "url": "https://www.ycombinator.com/launches/Tgs-ami-by-aisdr-ai-gtm-agent-that-builds-your-full-outbound-motion",
        "votes": 203,
        "created_at": "2026-09-09T13:36:03.590Z"
      },
      {
        "id": 74643,
        "title": "AiSDR - AI that sells",
        "tagline": "Meet AiSDR, software that reaches out and books meetings with prospects for you on auto-pilot",
        "body": "## tl;dr\n\n**AiSDR automates sales prospecting.** Our software uses generative AI to write and send sales emails to prospective customers. Once a prospect engages, AiSDR automatically corresponds with the prospect with the goal of getting a meeting booked. In just 2 months, AiSDR already has 24 customers. The response rate of our sales emails is on par with the industry’s rate for emails written by humans. This is our second time as YC founders after we sold our first company AXDRAFT (W19) to Onit Inc.\n\nIf you want to learn more - [book a demo with us](https://calendly.com/aisdr-intro/demo).\n\n## Problem\n\nDo you want to scale your SDR team without growing your headcount or significantly raising your operating costs? AiSDR will make it easier for your business to stay lean and mean. \n\nIf you’re faced with any of these challenges, AiSDR is the SDR for you:\n\n* Inbound/outbound leads are lost because you can’t answer in <10 minutes\n* You run 1-3 generic email campaigns that don’t convert because you don’t have the time to create personalized campaigns\n* You’re uncomfortable with sending follow-ups because they seem “salesy” or “spammy”\n* You want to scale your email outreach but you don’t have the budget to confidently hire an SDR\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/06a07780-7d1c-4c5e-8daf-a0db770f621d)\n\n## Solution\n\n**For a fraction of the cost of a full-time, in-house SDR,** AiSDR will use your leads and personas to (a) create personalized email campaigns for each lead, (b) send personalized follow-ups to leads, and (c) correspond and drive leads to book a meeting with you. \n\nThis will help you scale your outreach without increasing headcount while giving you the freedom to experiment with campaigns before hiring your first full-time SDR.\n\nLong story short, AiSDR is the AI SDR that will grow your pipeline, optimize SDR costs, and give you the freedom to reinvest revenue into growing your business.\n\n## How it works\n\nAiSDR leverages generative AI to create personalized email campaigns at scale using lead data and sales personas. Since AiSDR never needs to sleep, it will respond to and follow up with engaged leads in less than 10 minutes, ensuring that **prospective clients never fall through the cracks** due to lack of time.\n\nAiSDR will also help with developing and fine-tuning personas, cleaning leads, and warming up inboxes so that emails don’t land in spam.\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/913f200a-2543-4ab6-8795-ea210803c40c)\n\n## The team\n\nThis is our second time in YC. After our first time taking part (W19), we successfully sold our company AXDRAFT to Onit. Now with 6+ years of founder-led sales under our belt, we’re keen on solving many of the pains and challenges founders experience in sales. Before AXDRAFT, Oleg was a senior software engineer at [Booking.com](http://Booking.com).\n\n![uploaded image](/media/?type=post&id=74643&key=user_uploads/208580/25b698d1-e20d-4461-acd1-84b74bd1e6c8)\n\n## Our quick asks\n\n* [Book a demo](https://calendly.com/aisdr-intro/demo) with us if you want to learn more about AiSDR and use it to scale your outbound outreach or improve your inbound conversion rates.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/aisdrapp/), [Twitter](https://twitter.com/getaisdr), or [Facebook](https://www.facebook.com/aisdrapp). Our inboxes are always open.\n* Refer us to anyone you know who’s on the lookout for a budget-friendly solution to scale their SDR teams.",
        "url": "https://www.ycombinator.com/launches/JPv-aisdr-ai-that-sells",
        "votes": 373,
        "created_at": "2023-09-07T13:59:11.065Z"
      }
    ]
  },
  {
    "id": 29112,
    "name": "Foundation",
    "slug": "foundation-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9dd20033ab143f980f73115add9045604e7e9b6b.png",
    "website": "https://buildwithfoundation.com/",
    "all_locations": "Boulder, CO, USA; Remote",
    "long_description": "Foundation is the buyer experience platform for homebuilders. By bringing the new home shopping, purchase, and ownership experience online, Foundation helps homebuilders sell more homes, more profitably, to happier customers.",
    "one_liner": "Shopify for Homebuilders",
    "team_size": 4,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
    "launched_at": 1693591286,
    "tags": [
      "SaaS",
      "Real Estate",
      "B2B",
      "Proptech",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Real Estate and Construction",
      "Housing and Real Estate"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Our founding team met while working at Opendoor. Two of us (Derek &Luke) worked together on the partnerships team, which grew to become a major driver of customer acquisition at Opendoor, while Graham was one of the first people on the original version of Opendoor Mortgage. The Homebuilder business was Opendoor’s first partner channel AND first billion-dollar partner channel. As these builders got to know Opendoor, they’d get to know our products — and started wrapping their heads around how modern digital products could help them transform their businesses. We started Foundation to meet this growing demand."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The core problem we’re solving is that today, most of the consumer experience in homebuilding is still offline. Our buyer experience platform brings homebuilders online to help them sell more homes, at higher margins, to happier home buyers. One way to think about this is to ask a question: why do you have a better app for tracking your pizza delivery than you do for the biggest purchase of your life? Almost nobody in Silicon Valley understands homebuilding in the U.S. Just the Top 300 U.S. homebuilders — what some folks call “production builders” — build and sell >$250 BILLION (with a B) worth of homes a year, and spend $10B+ on technology, customer acquisition, and commissions. These builders don’t build homes on Sand Hill Road. But once you get outside of the Silicon Valley bubble, you learn how important homebuilding is in the U.S. Yes, it’s economically important — this is a massive corner of the American economy — but homebuilding also has huge cultural significance. Go talk to someone from Texas, or Florida, or a normal midwestern city: either they’ve thought about buying a new construction home, or their friends & family have, or they know someone who works in homebuilding."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "The U.S. is underbuilt by anywhere from 2M-6M+ homes. By helping bring homebuilding online, we help builders run better businesses — and do our small part to help get more homes built for American families. Beyond the new construction industry, we believe more broadly that the entire economy is still coming online. Parts of residential real estate have resisted this, but it’s happening. Foundation has the opportunity to become the platform for homeownership — not another search portal, but an actual digitally-native checkout and ownership experience."
      }
    ],
    "url": "https://www.ycombinator.com/companies/foundation-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/foundation-2.json",
    "year_founded": 2023,
    "city": "Boulder",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/foundation-tech/",
    "x_url": "",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 17250,
        "full_name": "Luke Groesbeck",
        "title": "Founder",
        "founder_bio": "Luke is the cofounder of Foundation, the buyer experience platform for homebuilders. Prior to foundation, Luke has spent 15+ helping start & scale ventured-backed startups as a founder, PM, and product exec.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukegroesbeck",
        "x_url": "https://twitter.com/newgroesbeck",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02b5ad3bdba5368a335d4705c26ea6f51ba0e4a5.jpg"
      },
      {
        "user_id": 1514484,
        "full_name": "Derek Schairer",
        "title": "Founder",
        "founder_bio": "Derek is the co-founder of Foundation, the buyer experience platform for homebuilders. Prior to Foundation, he was the former GM of Opendoor’s homebuilder business, which he turned into the company's first $1b+ partnership channel. Previously, he worked at one of the nation's largest homebuilders, Lennar, and has 15+ years in the homebuilding industry. He is passionate about building a better platform for residential real estate and the new construction industry.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/derekschairer/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e94b569536dd5143ae4726036ff5c387412c18e.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 78242,
        "title": "Foundation: The buyer experience platform for new homes",
        "tagline": "Meet Foundation — Shopify for Homebuilders",
        "body": "### Homebuilding: A huge industry that’s still offline\n\nHomebuilding — building and selling new-construction homes — is a massive business. In the U.S., the Top 300 builders alone sell \\~$250 billion worth of homes each year.\n\nNot only is homebuilding a meaningful part of the U.S. economy, but it’s also a big part of U.S. culture (at least once you get out of Silicon Valley and NYC). In most American cities, most homeowners have either considered buying a new construction home, have already bought one, or know someone who works in or around the new construction industry.\n\nThe U.S. is also significantly underbuilt from a housing perspective — estimates suggest that we’re anywhere from 2M-6M homes short of the inventory needed to house American families. To bridge this gap, it’s going to be the big “production” builders who do much of the heavy lifting.\n\n### The opportunity: bring a massive industry online\n\nDespite how central homebuilding is to the U.S. economy & culture, large parts of the industry run almost entirely offline. After working closely with homebuilder partners for years at Opendoor, Foundation’s [founding team](https://www.linkedin.com/company/foundation-tech/) realized how big of an opportunity this is.\n\nA simple question we ask: “Why do you have an app for tracking your pizza delivery, but not one for the biggest purchase of your life?” With [the launch of Foundation’s buyer experience platform](https://buildwithfoundation.com/), this finally changes.\n\n![uploaded image](/media/?type=post&id=78242&key=user_uploads/17250/224f88b6-3d32-435a-b9c9-90fd77e1ef64)\n\nBy bringing the home purchase and ownership experience online, Foundation’s buyer experience platform helps homebuilders sell more homes, at higher margins, to happier buyers.\n\nOur first customers go live in Q1 2024, and the early response we’ve gotten — everyone from leading national builders who sell tens of thousands of homes a year, to forward-thinking, fast-growing regional and local builders — shows the tide is finally turning.",
        "url": "https://www.ycombinator.com/launches/KLy-foundation-the-buyer-experience-platform-for-new-homes",
        "votes": 16,
        "created_at": "2024-02-07T19:21:11.036Z"
      }
    ]
  },
  {
    "id": 29119,
    "name": "Nowadays",
    "slug": "nowadays",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a04edfc3d5a9b0bb3ae585010c50f7f39fdc2a1.png",
    "website": "http://nowadays.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Nowadays is the AI-native platform for corporate meetings and events. Our AI doesn't just assist planners – it does the work. It emails and calls venues, negotiates rates in 22 languages, parses 50-page hotel proposals into clean apples-to-apples comparisons, and surfaces unmanaged meeting spend across your entire org.\r\n\r\nWe work with companies ranging from ones planning one epic company kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\r\n\r\nUnlike legacy platforms like Cvent that bolted AI onto decades-old infrastructure, Nowadays was built from the ground up for the AI era.",
    "one_liner": "AI-native platform for corporate meetings and events",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1687830204,
    "tags": [
      "B2B",
      "Logistics",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/nowadays",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/nowadays.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nowadays-ai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a04edfc3d5a9b0bb3ae585010c50f7f39fdc2a1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ba2fac5a9acaec8c27991d725107ea149c9ea2a6.png",
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/25148f53122cadc55082e163406f58434e1fa741.png"
    ],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1347384,
        "full_name": "Anna Sun",
        "title": "Founder",
        "founder_bio": "CEO at Nowadays. Previously PM & SWE at Datadog, DoorDash, and Amazon. Studied Computer Science and graduated from MIT. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/annasun19",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba62c93f728ad98f33d467d4fb1fe23184c39a89.jpg"
      },
      {
        "user_id": 1374367,
        "full_name": "Amy Yan",
        "title": "Founder",
        "founder_bio": "COO at Nowadays. Formerly worked in strategy & operations roles at Google, Meta, and McKinsey & Company.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/amysunyan",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3dffea87f39ee6fe31af9fccb82ac578c27c4b98.jpg"
      }
    ],
    "jobs": [
      {
        "id": 87719,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/MkqOCPn-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87720,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/hq419qc-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$80K - $240K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87721,
        "title": "Founding Operator",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/3hKed4I-founding-operator",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87949,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/syo6fpn-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87950,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/AYtFC1G-founding-ai-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 87952,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/hrkGPy8-founding-product-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $150K",
        "equity_range": "0.25% - 1.25%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 117421,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/nowadays/jobs/fTcD3v9-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript",
          "SQL",
          "Next.js"
        ]
      }
    ],
    "news": [
      {
        "title": "Turning Event Planning Headaches into AI Innovation With Nowadays' Anna Sun",
        "url": "https://www.rippling.com/blog/founder-spotlight-anna-sun",
        "date": "Mar 11, 2026"
      },
      {
        "title": "\n\tHot 25 Travel Startups for 2026: Nowadays | PhocusWire\n",
        "url": "https://www.phocuswire.com/hot-25-travel-startups-2026-nowadays",
        "date": "Nov 10, 2025"
      },
      {
        "title": "AI Event Planning Tool Nowadays Wins BTS America Innovation Faceoff | Business Travel News",
        "url": "https://www.businesstravelnews.com/Management/AI-Event-Planning-Tool-Nowadays-Wins-BTS-America-Innovation-Faceoff?utm_source=newsletter&utm_medium=email&utm_campaign=eltrdaily&oly_enc_id=7297B1248256H2B",
        "date": "Oct 17, 2025"
      },
      {
        "title": "Mercer Island Women Leading Venture Capital",
        "url": "https://citylifestyle.com/articles/mercer-island-female-vcs-thankful-for-connection",
        "date": "Dec 18, 2024"
      },
      {
        "title": "Nowadays' Founders Share How $2 Million Will Help Further Develop Its AI",
        "url": "https://meetings.skift.com/2024/12/13/nowadays-founders-share-how-2-million-will-help-further-develop-its-ai/",
        "date": "Dec 13, 2024"
      }
    ],
    "launches": [
      {
        "id": 103278,
        "title": "Nowadays AI: AI-Native Platform for Corporate Meetings & Events",
        "tagline": "The AI-native platform that sources venues, negotiates contracts, and runs your entire corporate event, so your team just shows up",
        "body": "Hey everyone!! We're Anna and Amy, sisters, co-founders, and the people who used to manually call 20 hotels for a single offsite.\n\nWe launched Nowadays on YC S23 as an \"AI copilot for event planning.\" Two years later, we want to show you what we actually built :)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/709549e5-8a04-4b5c-8557-76886ff145a0)\n\n# **TL;DR**\n\nNowadays is the AI-native platform for corporate retreats and meetings. Tell us what you need: we handle venue sourcing, contract negotiation, room blocks, attendee logistics, and post-event reconciliation. Fortune 500 teams and fast-growing startups use Nowadays to run offsites they're proud of, without burning out their ops team.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/53908cc7-1f81-4c15-afe7-5e0f11b7ad59)\n\n# **The Problem**\n\nPlanning a corporate offsite is a second job nobody signed up for.\n\nYour EA or ops lead spends weeks cold-emailing hotels, chasing RFPs, deciphering hotel contracts, and manually tracking room blocks in spreadsheets, only to do it all over again next quarter.\n\nThe vendors in this space are slow and expensive. Many of our customers have said the same thing: \"I got paired with a planner worse than myself.\"\n\nThe result: overpriced venues, cancellation penalties nobody caught, and an ops team that's exhausted before the event even starts. And for most enterprises, 65% of meeting spend is completely unmanaged, buried in expense reports, booked by admins outside any system.\n\n# **Our Solution**\n\nNowadays replaces the entire event planning stack with one AI-native platform, backed by a team that actually executes on your behalf. You tell us what you need. We handle the rest. Your team just shows up.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/67abf2bb-7640-4684-9bbf-c2bfb3a85d4a)\n\n## **1. AI-powered venue sourcing**\n\nDescribe your event, dates, headcount, vibe, budget, and we generate a curated shortlist of venues with proposals in 24 hours, not weeks. We have relationships with 400K+ hotels globally and we're a certified IATA travel agency.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/cedeb56d-e591-4eed-a1f6-b75d1eabf9b5)\n\n## **2. Contract negotiation, handled**\n\nWe negotiate directly with venues on your behalf, pushing on room rates, F&amp;B minimums, attrition clauses, and cancellation terms. Our AI knows market rates from thousands of events and pushes back when hotels overcharge. Clients routinely save 20-30% vs. going direct.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/1156b34d-e9b9-4e1d-bc9a-7736a13901a9)\n\n## **3. Exclusive rates**\n\nWe aggregate demand across all our clients to secure rates individual companies can't get on their own.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/592bb426-c3e7-4457-ab13-860504f2fc0e)\n\n## **4. End-to-end logistics**\n\nRoom blocks, cutoff dates, rooming lists, supplier coordination, tracked in one place, managed by us. Nothing falls through the cracks while you're onsite.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/49563edb-1c99-4cc1-afbd-d590b691258f)\n\n## **5. Attendee registration and logistics**\n\nCustom registration forms, dietary needs, t-shirt sizes, room assignments, all in the platform. Your ops lead is not managing 12 spreadsheets.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/302d0f5a-5d1c-4b01-8cdc-32bffe7d01e8)\n\n## **6. Expert support**\n\nEvery client gets a dedicated Nowadays partner who knows your program, your preferences, and your budget. Our AI acts, and when you need a human, we're there.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/2afea73a-7a20-4209-b1b7-e2ded68d6a13)\n\n## **7. Post-event reconciliation**\n\nWe audit the final folio, catch billing errors, and close the loop financially. No more surprise charges two weeks after everyone's home.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/836fcdff-8837-4754-b447-cda95c651c11)\n\n## **Why we're different**\n\nEvery competitor you've heard of bolted AI onto infrastructure built decades ago. We built around AI from day one, which is why a small team can do at scale what legacy platforms need armies of account managers to do.\n\nOur AI calls venues in 22 languages, parses 50-page proposals into clean apples-to-apples comparisons, and routes every meeting through approval workflows, including the small ones EAs used to book on their own.\n\nOne Fortune 500 VP uncovered $18M in previously unmanaged meeting spend just by turning Nowadays on.\n\n# **Use Cases**\n\n* Quarterly offsites: for remote-first teams who need to meet all their new employees\n* Leadership retreats: for executive teams running strategic planning sessions\n* Sales kickoffs: with complex AV, F&amp;B, and multi-day programming needs\n* International group travel: we handle the complexity of multi-country logistics end to end\n\n# **Where We Are Now**\n\nWe work with companies ranging from ones planning one epic kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\n\nWe've run retreats from San Diego to Thailand, from 20-person leadership offsites to 500+ person company kickoffs.\n\nWe won both judges' choice and people's choice at Business Travel Show America 2025 and Business Travel Show APAC 2026, the two biggest innovation competitions in corporate travel.\n\n# **Why Now**\n\nCorporate travel spend is back and growing. But the infrastructure for planning events hasn't caught up. Legacy travel companies are slow, opaque, and not built for the modern distributed workforce. We're rebuilding this from scratch with AI at the core and a team that treats every event like it's our own.\n\n# **We're growing!!**\n\nWe're hiring across the board for founding team members, engineers, operators, and account executives who want to work on a problem that's genuinely hard and unsolved, with a really fun team in San Francisco.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/6174eee6-ebce-4c88-8465-b443a7584c55)\n\nSee open roles: [nowadays.ai/careers](https://nowadays.ai/careers)\n\n# **Get started**\n\nBook a call: [meetings-na2.hubspot.com/amy-yan](http://meetings-na2.hubspot.com/amy-yan)\n\nEmail us: [events@nowadays.ai](mailto:events@nowadays.ai)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/ee979b76-ff7a-42cc-99f8-18f3034a7d95)\n\n",
        "url": "https://www.ycombinator.com/launches/Qrm-nowadays-ai-ai-native-platform-for-corporate-meetings-events",
        "votes": 6,
        "created_at": "2026-06-16T13:51:25.690Z"
      },
      {
        "id": 73488,
        "title": "🎉 Nowadays: AI copilot for event planning",
        "tagline": "Take the hassle out of organizing corporate events",
        "body": "Hi everyone! We’re Anna and Amy, sisters and co-founders of [Nowadays](https://www.getnowadays.com/).\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1374367/8abc167e-68ed-4057-ab7a-4f39e5f961ec)\n\n_From left to right:_\n\n[Anna](https://www.linkedin.com/in/annasun19): Software engineer from MIT, with PM & SWE experiences at DoorDash, Amazon, and Datadog. Organized events for 1300+ students as class president at MIT.\n\n[Amy](https://www.linkedin.com/in/amysunyan/): 7+ years in strategy & operations roles at Google, Meta, and McKinsey. Organized events for 2000+ students as class president at Johns Hopkins.\n\n### **🧨 The Problem**\n\nCorporate event planners are bombarded with endless calls and emails while planning events. Stressing over tight schedules, planners are paying for full-time assistants or tools that cost them $100,000+ a year.\n\nWhat if we could transform this time-consuming and expensive process, making it not just simple, but enjoyable and efficient?\n\n### **🙌🏼 The Solution**\n\nMeet [Nowadays](http://getnowadays.com/), the first AI co-pilot for event planning. Recover hours lost to manual, repetitive tasks, and spend time focusing on what really matters.\n\n**Here’s how it works:** Share event details, and we'll automatically reach out to venues and vendors, manage emails and calls, and stay within budget.\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1347384/482a0ef3-b7e2-4569-bd63-3e15548b608d)\n\n_Want a venue with an onsite golf course? Done ✅_\n\n_Activities within walking distance? Booked ✅_\n\n_Keeping your costs under a certain budget? You got it ✅_\n\nBut that’s not all. Our AI doesn't just offer a one-size-fits-all approach. It adapts to unique tastes and needs, providing a truly personalized event planning experience.\n\nWe're not just offering a tool; we're offering a smarter way to celebrate, connect, and create unforgettable moments.\n\n### **👋 Ask: How you can help**\n\n1. Know anyone planning corporate events (e.g. retreats, happy hours, holiday parties)? We’d love to speak to any event planners, office managers, or executive assistants about their day-to-day experiences. Send any leads to [founders@getnowadays.com](mailto:founders@getnowadays.com). 🙏\n2. Follow along on our journey [here](https://www.linkedin.com/company/getnowadays/)!\n\n### Transform the way you plan events with **Nowadays** **🚀**",
        "url": "https://www.ycombinator.com/launches/J7I-nowadays-ai-copilot-for-event-planning",
        "votes": 662,
        "created_at": "2023-07-27T14:15:04.307Z"
      }
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    "id": 29121,
    "name": "Constructable",
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    "website": "https://www.constructable.ai/",
    "all_locations": "Santa Barbara, CA, USA",
    "long_description": "Constructable is the modern alternative to Procore, Autodesk, and Fieldwire. We help mid-size general contractors manage the entire lifecycle of a commercial project from bidding to closeout.\r\n\r\nWith Constructable, teams can accelerate field, project, and financial management in one intuitive system. RFIs, submittals, drawings, daily logs, punch lists, change orders—everything lives in one place, with AI-powered search to find answers instantly.\r\n\r\nGCs and builders across the U.S. and Canada are already running smoother projects on Constructable.\r\n\r\nLearn more at constructable.ai",
    "one_liner": "Building the next Procore",
    "team_size": 6,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
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        "full_name": "Emma Nazim",
        "title": "Founder",
        "founder_bio": "I am a co-founder and CEO at Constructable. Previously I was a VP of Product at Appfolio and led the product team for Appfolio Investment Manager from 0 to 1500 customers. I love working with customers and building vertical software, but outside of that, you can find me making mugs and bowls where no two ever look the same.",
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        "full_name": "Molly Abbott",
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        "founder_bio": "I am a co-founder and CPO at Constructable. Since 2010, I have had the privilege to work along side amazing leaders in Product, Operations and Partnerships at both Mindbody and AppFolio. Growing up in a construction family, and then marrying into one, I'm excited to be in both tech and construction. ",
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        "full_name": "John Yoder",
        "title": "Founder",
        "founder_bio": "I am a co-founder and CTO at Constructable. Prior to this, I was the VP of Engineering for AppFolio Property Manager where I grew the team from 65 engineers to 250 engineers over 4 years. I am most satisfied when my team can hear the joy in a customer's voice because of something we accomplished together.",
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      {
        "id": 94471,
        "title": "Constructable - Modern Construction Management Software",
        "tagline": "Constructable is an all-in-one construction management software for mid-size general contractors who are tired of outdated, clunky, and overpriced solutions.",
        "body": "**TLDR:** [Constructable](https://constructable.ai/) is a field, project, and financial management software for mid-size GCs whose projects are too complex to manage over email and shared drives, but who are frustrated with the complexity and pricing of Procore and Autodesk. Constructable supports every stage of a commercial project, from bidding to close out, with powerful tools and intuitive workflows.\n\n# \n\n# **The Problem**\n\nCommercial general contractors spend too much time on administrative work in legacy platforms, using only a fraction of the features they pay for, and still relying on point solutions to handle everyday tasks.\n\n# \n\n# **The Solution**\n\n[Constructable](https://constructable.ai/) brings field, project, and financial management together in one fast, intuitive platform. Teams can manage bidding, active construction, and financial closeout in a single system. \n\nWe’ve already helped top construction companies across the US and Canada migrate off of incumbent solutions they found slow, hard to use, and not worth the price tag. To date, Constructable has powered over 500 construction projects. Over the past year we’ve expanded Constructable so it’s robust enough to support $60M+ projects, while still being intuitive and easy to use in the field and the office.\n\n# \n\n# **How We’re Different**\n\n**Collaborate right on the plans** - Share markup and comments with specific people or  publish to the full team, so you can keep coordination documented right on the drawings instead of buried across email threads.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/cc5fd0c7-4302-461c-aa61-50f88ba01fbf)\n\n\\\n\\\n**Quickly review drawings all in one place** - Overlay any two sheets, compare sheets side by side, get measurements and takeoffs without exporting to other tools, and flip through hundreds of sheets without waiting for them to load.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/d50e11ec-c723-4a84-ba0b-9d440845f774)\n\n\\\n\\\n**Built-in search and Q&A** - Find answers instantly across all your data. We make everything searchable including your photos and scanned documents.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/dd20ff09-afa9-4294-b47b-bca3bce7d86d)\n\n\\\n\\\n**AI and automations that save real time** - Copy a door schedule from the drawings to a spreadsheet with one click, fill in punch list items as you narrate, automatically organize bids sent to your email, and so much more.\n\n![uploaded image](/media/?type=post&id=94471&key=user_uploads/1393936/b7b37a44-77ec-4108-b524-1a06b613fe1f)\n\n\\\n\\\n**Built on modern software practices** - No more loading spinners, waiting for an email to get your PDF download, or refreshing the page to see what’s changed. Everything updates in realtime.\n\n**Pricing that’s straightforward** - Get unlimited projects, users, and construction volume for one flat monthly subscription.\n\n# **Our Customers**\n\nWe’ve seamlessly migrated companies to Constructable from Procore, Autodesk, Fieldwire, and Buildertrend. Here’s a quote from a customer on how it’s gone:\n\n> The transition to Constructable was very smooth. The tools are so user friendly that our team and our trade partners were up and running in no time.\n\n_- Jordyn Nelson Fox, Holladay Construction Group_\n\n# **Ask**\n\nKnow any general contractors? Send them the link to our launch or [website](http://constructable.ai). Thanks for the support!",
        "url": "https://www.ycombinator.com/launches/OZj-constructable-modern-construction-management-software",
        "votes": 40,
        "created_at": "2025-10-08T14:29:13.711Z"
      },
      {
        "id": 73724,
        "title": "🏗️ Constructable - The AI copilot for construction teams",
        "tagline": "We integrate construction management tools, email, chat, and documents to create an AI powered knowledge-base for construction projects",
        "body": "**_Tl;dr:_** _Constructable aggregates documents and communication from multiple sources so construction teams can answer questions quickly and accurately about their projects, saving them critical time and preventing costly mistakes._\n\nHi everyone,\n\nWe are [John](https://www.linkedin.com/in/john-yoder-92595985/), [Molly](https://www.linkedin.com/in/molly-abbott-41b03037/), and [Emma](https://www.linkedin.com/in/emmamedjuck/), former proptech product and engineering leaders and the team behind [Constructable](https://www.constructable.app/). We’re on a mission to give everyone on a construction project the information they need at their fingertips to deliver a project safely, accurately, and efficiently.\n\n## **🧨 The Problem**\n\n**Construction teams are spending too much time digging through data spread out in many places**\n\nConstruction projects are complex and constant change means a single project will have a huge amount of documentation. Take the San Francisco team we’re working with that just finished a major 3-year project. By the end of the project, they had a 2000-page plan that had changed hundreds of times, 2300 change orders, and thousands of bids, RFIs, and submittals going back and forth between the general contractor, developer, architect, engineers, and 93 specialty contractors. The team spent hours each week trying to find information across email, Procore, chat conversations, and document management systems.\n\nLook at all the folders one of our customers has for just 1 project!\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/d805b330-519c-4775-a2c5-c6699a58a99c)\n\n**Not finding accurate information quickly can be detrimental to a project**\n\nMany teams waste time and hire additional people to sort through data and search for the answers they need, yet still mistakenly use outdated or incorrect information. A [**study**](https://www.constructiondive.com/news/contractors-lost-18-trillion-globally-in-2020-due-to-bad-data-new-report/606939/) by FMI found that “bad data” – including data that is inaccessible, inconsistent, or untimely  – **cost the global construction industry $1.85 trillion** in 2020. Operating off of outdated plans or missing information can lead to costly delays, expensive re-work, and in the worst cases can cause dangerous conditions for the crews on the ground.\n\n## **✨ Our Solution**\n\nConstructable is the central place to find any information and get questions answered about a construction project. We aggregate documents and communication from file management systems like OneDrive and Dropbox, construction management software like Procore and Autodesk, email, and chat apps and make it quick for teams to answer any question and find the relevant documentation.\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/9318d182-f037-4d41-a7cd-f6f4a7a90581)\n\nConstructable makes it easy to:\n\n* Compare bids from multiple specialty contractors and see if they are missing key components in their bid\n* Find the most recent steel plan and highlight what has changed since the last revision\n* See RFIs that have been outstanding for more than 2 weeks and the contact information of the requestee\n* Find the change order that involved adding an additional wall to the lobby, link to the before and after plans, and list the difference in takeoffs because of the change\n* Get the schedule of all specialty contractors working the following week and which supplies are still on backorder for each contractor\n* Get data from the appliance manuals needed for maintenance teams once the project is delivered\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=73724&key=user_uploads/1393936/05c0d913-f492-43de-babd-97f415d5c860)\n\nWe spent the past 10 years working together at Appfolio (Nasdaq: APPF), where Emma was a VP of Product, John was a VP of Engineering, and Molly was a product growth leader. We loved supporting the businesses that provide millions of people with exceptional living and workplace experiences and we’re excited to bring our experience to empower today’s builders to construct tomorrow’s communities.\n\nMolly has first-hand experience in the world of construction. Her dad, husband, and brother-in-law are general contractors and specialty contractors and she previously worked for a large specialty contractor. She’s experienced the chaotic highs and lows that go into completing a large project, which has fueled her passion to bring new technology to the industry.\n\n## **👋 Ask:**\n\nConnect us to general contractors, owner’s reps, large specialty contractors, or developers. We’d love to get their feedback! Pass along our [website](https://www.constructable.ai) or send us an email, [founders@constructable.app](https://mailto:founders@constructable.ai). We appreciate the support!",
        "url": "https://www.ycombinator.com/launches/JB6-constructable-the-ai-copilot-for-construction-teams",
        "votes": 64,
        "created_at": "2023-08-02T18:23:44.705Z"
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    "name": "Glide",
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    "long_description": "Glide lets apps accept crypto deposits from any chain, wallet, or exchange using pre-built wallet funding flows. Users can fund wallets directly — no bridges, no swaps, no repeated KYC.",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1689702823,
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        "full_name": "Tushar Soni",
        "title": "Founder",
        "founder_bio": "Co-founder, CEO @ Glide (buildwithglide.com)\n\nPrior to starting Glide, I was a tech lead at Robinhood Crypto building the Robinhood Wallet app. Previously, I worked on large-scale consumer apps such as Uber Eats, Apple Music, and App Store.\n\nI also created and maintain Copper (https://gocopper.dev) - a fullstack toolkit to build web apps in Go.",
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        "full_name": "Qinyu Tong",
        "title": "Founder",
        "founder_bio": "I'm the co-founder at WalletKit building the best developer platform for web3 consumer app developers. Prior WalletKit, I was at Robinhood Crypto building the Robinhood Wallet. Previously, I worked at LinkedIn on enterprise infra such as Ads API, AI Infra. ",
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        "id": 73221,
        "title": "WalletKit — Developer platform for building consumer-friendly web3 apps",
        "tagline": "Build web3 apps with wallets, tokens, and NFTs using simple HTTP APIs",
        "body": "**_⏳ TLDR;_** WalletKit is a developer platform, that helps you build decentralized apps without any crypto knowledge. It is best used for building user-friendly consumer apps aimed at mass adoption. Come talk to us if you’re building in this space or if you’re curious about adding decentralized features to your product.\n\nHey everyone! This is [**@Tushar Soni**](https://bookface.ycombinator.com/user/139706) and [**@Qinyu Tong**](https://bookface.ycombinator.com/user/1440060) from [**@WalletKit**](https://bookface.ycombinator.com/company/29123), and we are super excited to tell you what we’ve been working on.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/1b7b6d81-ebee-42dd-a5bf-c926342dc9d6)\n\n---\n\n### **🤔 Problem**\n\nCrypto has gone through several ups and downs in its decade-long history. However, we have yet to build meaningful use cases outside of trading. There are a few reasons that are slowing us down:\n\n1. **Low Adoption**: People find crypto products hard to use, confusing, risky, or scammy. We believe this is because it is incredibly difficult to build trusted brands and high-quality user experiences that everyone has come to expect from the products they use.\n2. **High Complexity**: Blockchain is a collection of really complicated technology and building consumer products directly on top of it will take a lot of expertise and a long time.\\\n   Imagine trying to build a Rewards & Loyalty Program - you have to pick a chain, work with smart contracts, figure out how users will manage their wallets, handle transactions, reorgs, gas management, and so much more. You have to do this while making sure everything is done securely so you and your users don’t lose their digital assets.\n3. **Developer Tooling**: The popular developer platforms are too low-level. They are usually a mirror of Blockchain Node APIs aimed at node operations, not building consumer apps.\n\nOur goal is to elevate the developer experience for building decentralized consumer apps and enable builders to focus on their use case, not blockchain infrastructure.\n\n---\n\n### **🔧 Solution**\n\nWe are rethinking how to build decentralized apps by providing engineers with simple high-level abstractions to create amazing products.\n\nWalletKit wraps popular blockchain building blocks into easy-to-use HTTP APIs. Today, we support building with wallets, tokens, and NFTs.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/77b906df-a7b3-4387-ad5f-43630e739bdf)\n\nWe took it a step further with WalletKit Dashboard - a digital asset management tool for your app-related digital assets. Use WalletKit Dashboard to create wallets, tokens, mint NFTs, make transfers, and interact with user wallets.\n\n![uploaded image](/media/?type=post&id=73221&key=user_uploads/139706/feafd2f1-3d58-493f-bc5e-3ee76bf2f14e)\n\n---\n\n### **👽 Founders**\n\nQinyu and I met at Robinhood, where we led the Web3 team responsible for building Robinhood Wallet. We experienced firsthand the lack of tools and infrastructure needed to build a consumer-friendly product.\n\nIt became clear to us that this gap in infrastructure is holding back the entire community from creating amazing products that have a chance at mass adoption. It acts as a barrier for founders to build decentralized products. WalletKit aims to remove this barrier entirely.\n\n---\n\n### **🤝 Ask & Deal**\n\nConnect us with founders/builders who are building decentralized apps or want to add decentralized features! Feel free to send an intro email to [**tushar@usewalletkit.com**](mailto:tushar@usewalletkit.com). We would love to help out.\n\nFor all YC companies and connections that come through the YC network, we offer a white-glove service and discounted rates :)",
        "url": "https://www.ycombinator.com/launches/J2z-walletkit-developer-platform-for-building-consumer-friendly-web3-apps",
        "votes": 31,
        "created_at": "2023-07-19T15:30:20.915Z"
      }
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  {
    "id": 29134,
    "name": "Cognitio Labs",
    "slug": "cognitio-labs",
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      "Flair Technology Services Inc.",
      "Flair",
      "Flair Health",
      "Flair Technologies"
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    "all_locations": "Los Angeles, CA, USA",
    "long_description": "CoAsync by Cognitio Labs is the AI back office for product quality compliance teams.\r\n\r\nWe help mission-critical food manufacturers automate repetitive, document-intensive workflows.\r\n\r\nWe started with Certificates of Analysis (COAs), one of the many workflows quality teams manage before products can ship. Today, this work is still performed manually across PDFs, emails, spreadsheets, and disconnected ERP systems. \r\n\r\nOther documents we help quality teams respond to 24x7 include supplier audit questionnaires, production schedules, lab reports & changes in product specifications and quality records.\r\n\r\nCoAsync automates the workflow by:\r\n\r\nReading supplier documents\r\nExtracting laboratory data\r\nValidating product specifications\r\nApplying compliance requirements\r\nDrafting compliant COAs\r\nOrganizing audit-ready documentation\r\n\r\nResults from one of our initial deployments with a mid-market food processor:\r\n\r\n85% less QA administrative work\r\n4× more COAs processed per shift\r\n1-2 hours saved per document\r\nNew product onboarding in under one day\r\n\r\nCOAs are just the beginning. Our vision is to build the AI back office for product quality and compliance across regulated industries by automating the many document-intensive workflows manufacturers manage every day.\r\n\r\nBacked by Y Combinator and leading investors. Founder Diva Avaya Sharma has presented example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains' SmartStart initiative and at the International Telecommunication Union's AI for Good Global Summit, organized in partnership with the United Nations.\r\n\r\nKnow a company shipping food & product urgently? Help them get started with their own document workflows at https://cognitioiq.com",
    "one_liner": "AI back office for food product quality teams",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1690407835,
    "tags": [
      "AIOps",
      "B2B",
      "Data Science",
      "AI",
      "AI Assistant"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Industrials"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cognitio-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/cognitio-labs.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cognitio-labs/",
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    "founders": [
      {
        "user_id": 339188,
        "full_name": "Diva Avaya Sharma",
        "title": "Founder",
        "founder_bio": "Diva is the founder of Cognitio Labs (former Flair telehealth) and inventor of a patented remote patient monitoring device. Previous companies & projects at Ancestry.com, Facebook, Johnson & Johnson, and the Stanford School of Medicine. Alum: Stanford University (Bachelors)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/diva-sharma",
        "x_url": "https://twitter.com/adivawhocodes",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66eb801562304c65890ec479268fc5fa4cacc625.jpg"
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    "launches": [
      {
        "id": 109669,
        "title": "Cognitio Labs -  the AI Back Office for Product Quality Teams",
        "tagline": "CoAsync by Cognitio Labs, the AI back office for product quality teams.",
        "body": "CoAsync by Cognitio Labs, the AI back office for product quality teams.\n\n<https://youtu.be/IvQ1RtQ3280?si=oq-kHI5nO5iWeoji>\n\nCertificates of Analysis are one of the sources of documentation clogging food and consumer product shipments today. Every day, millions of dollars of product sit waiting to ship because paperwork isn't ready to certify it is safe.\n\nBefore food can leave a facility, quality teams review supplier documents, lab reports, product specs, and regulatory requirements to produce a COA, the document certifying a product is safe, meets quality standards, and complies with destination-country rules. That still happens across PDFs, emails, spreadsheets, and disconnected ERPs, and a single COA can take hours.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, and drafts audit-ready COAs, keeping quality teams in control at every step.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/d089cbb5-ccba-49ee-a89b-29f4ad88253f)\n\n\nResults: A Fresno-based dry fruit manufacturer cut COA processing from 8 hrs/week to under 1 hr in a six-week deployment, an 85% drop in QA admin work. A California fig grower now processes 4x more COAs per shift, saving 1 to 2 hours per document, and onboarded in under a day.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/c9de609b-22b8-4634-a6d0-47768cd58e52)\n\n\nWe're starting with food, one of the most document-intensive, regulated supply chains in the world, building toward an AI operating system for safety and quality across consumer products adoption.\n\nOur founder @[Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/) presented on critical supply chains adopting artificial intelligence tools at the World Economic Forum's SmartStart Manufacturing Initiative Initiative and the AI for Good Global Summit (International Telecommunications x United Nations).\n\nIf you know a food, consumer products, or ingredients manufacturer buried in paperwork overload, we welcome an introduction: <https://www.cognitioiq.com/contact>.\n\n![uploaded image](/media/?type=post&id=109669&key=user_uploads/339188/7e9b5cea-da52-47c8-b61a-c419b89e02bf)\n\n\n#YCLaunch #FoodTech #SupplyChain #AI #FoodSafety",
        "url": "https://www.ycombinator.com/launches/SWr-cognitio-labs-the-ai-back-office-for-product-quality-teams",
        "votes": 2,
        "created_at": "2026-08-07T17:12:02.313Z"
      },
      {
        "id": 104819,
        "title": "Cognitio Labs: The AI back office for Food & Product Quality",
        "tagline": "The AI back office for Food & Product Quality",
        "body": "[Cognitio Labs ](https://cognitioiq.com/)is building CoAsync, the AI back office for product quality teams. We started with one of food's most document-intensive workflows: the Certificate of Analysis.\n\n85% less QA admin time. 4× more COAs per shift. New products onboarded in under a day.\n\nEvery day, millions of dollars of food sit waiting to ship because the paperwork isn't ready.\n\nBefore food can leave a facility, quality teams manually review supplier documents, lab reports, product specifications, and regulatory requirements to produce a Certificate of Analysis (COA). It's just one of dozens of document-heavy workflows quality teams manage every day.\n\nToday, that work still happens across PDFs, emails, spreadsheets, and disconnected ERP systems. A single COA can take hours.\n\nOver a six-week deployment, the manufacturer reduced COA processing time from 8 hours per week to under 1 hour, centralized supplier documentation, and dramatically improved audit readiness. The result was an 85% reduction in QA administrative work.\n\nCoAsync ingests supplier documents, extracts lab data, validates specifications, applies country-specific compliance requirements, drafts compliant COAs, and prepares audit-ready documentation while keeping quality teams in control at every step.\n\nWe're starting with food because it's one of the most document-intensive, highly regulated supply chains in the world. Our vision is to build the AI back office for product quality and compliance across every regulated industry.\n\nThis summer, our founder [Diva Avaya Sharma](https://linkedin.com/in/diva-sharma) is presenting example AI workflows for product quality and compliance through the World Economic Forum Centre for Advanced Manufacturing and Supply Chains’ SmartStart initiative and at the AI for Good Global Summit, organized by the International Telecommunication Union (ITU) in partnership with the United Nations. These examples explore how AI can reduce repetitive documentation, strengthen compliance, and support the next generation of quality, manufacturing, and supply chain professionals.\n\nAre you a food quality manufacturer or processor ready to see CoAsync on your own products? Upload a supplier document, a sample lab report, and a historical COA, and watch your quality workflow automate in minutes on <https://cognitioiq.com>",
        "url": "https://www.ycombinator.com/launches/RGd-cognitio-labs-the-ai-back-office-for-food-product-quality",
        "votes": 3,
        "created_at": "2026-07-06T15:52:02.427Z"
      },
      {
        "id": 99119,
        "title": "Cognitio Labs – Real-time food traceability for safety and compliance",
        "tagline": "Automating real-time food traceability for FDA compliance",
        "body": "[Cognitio Labs](https://cognitioiq.com) is an applied AI research lab building real-time compliance infrastructure for regulated supply chains, serving as the first line of defense against recalls and regulatory failure.\n\nView our launch video at: [**https://youtu.be/iFD6vxaS0eY**](https://youtu.be/iFD6vxaS0eY)\n\nWhen a food contamination event happens, time is everything. If traceability takes days instead of hours, entire product categories get destroyed, brands lose trust, and recalls cost $10M to $100M+.\n\nYet today, most operators still rely on spreadsheets, PDFs, and manual logs. Traceability data is fragmented across facilities, systems, and partners, and critical events like temperature, handling, and lot transformations are not automatically captured or standardized. As a result, generating accurate, regulator-ready records is slow, manual, and error-prone.\n\n**Why now:** The FDA’s [FSMA 204 rule](https://www.fda.gov/food/food-safety-modernization-act-fsma/fsma-final-rule-requirements-additional-traceability-records-certain-foods) requires companies to produce standardized, lot-level digital traceability records within 24 hours by 2028, impacting over 60,000 U.S. food facilities. The regulatory bar is rising, but the infrastructure to meet it requires improvement.\n\nWe are building that infrastructure.\n\nOur system uses sensors and AI to automatically capture key events such as temperature, humidity, handling, and lot-level movements across production, storage, and transit. We convert fragmented operational data into standardized, FSMA 204-compliant traceability records and generate regulator-ready reports in real time.\n\nCompliance is generated as operations happen, not after.\n\nThis becomes the first line of defense by enabling faster recalls, reducing spoilage, eliminating manual compliance work, and protecting contracts, insurance coverage, and brand equity. Avoiding even one major recall can save $10 million to over $100 million.\n\nCognitio Labs was founded by [Diva Avaya Sharma](https://www.linkedin.com/in/diva-sharma/), a Stanford-trained technologist who previously built a patented remote patient monitoring system integrating sensors and machine learning in regulated healthcare environments, recognized by global development institutions and national innovation programs.\n\nWe are starting with food and expanding into other regulated, high-risk supply chains.\n\nLearn more at [**cognitioiq.com**](http://cognitioiq.com).\n\nFollow our Linkedin Page [**here**](https://www.linkedin.com/company/110755112/)**.**",
        "url": "https://www.ycombinator.com/launches/Pmh-cognitio-labs-real-time-food-traceability-for-safety-and-compliance",
        "votes": 11,
        "created_at": "2026-03-26T19:07:46.555Z"
      }
    ]
  },
  {
    "id": 29137,
    "name": "Opensteer",
    "slug": "opensteer",
    "former_names": [
      "Thumbnail Game",
      "TrendUp",
      "trendup",
      "Curatle",
      "dinogent",
      "Curatle",
      "Oversteer"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png",
    "website": "https://opensteer.com",
    "all_locations": "Los Angeles, CA, USA; Remote",
    "long_description": "Opensteer creates specialized AI agents in cloud computers that can integrate with anything. Each agent gets customizable browser access, tools, instructions, and guardrails, so it can work 24/7 exactly the way you need.",
    "one_liner": "Specialized agents for real work",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1689032123,
    "tags": [
      "Robotic Process Automation",
      "B2B",
      "API",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "B2B"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/opensteer",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/opensteer.json",
    "year_founded": 2023,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/38b0ef5314d328b72aff9a8d9829350f181b5ace.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1369366,
        "full_name": "Tim Jang",
        "title": "Founder",
        "founder_bio": "Founder at Opensteer. Previously at Block.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/timjang3",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9fa76a17acafebcc366921a150dbeeceb5469bd0.jpg"
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      {
        "id": 102076,
        "title": "Opensteer - Specialized agents that learn and run your business",
        "tagline": "A team of AI agents that run your business",
        "body": "Opensteer creates specialized AI agents that learn and use your tools, workflows, rules, and custom processes to become experts at one specific job.\n\nEach agent runs in a secure cloud workspace with its own browser, tools, memory, schedules, rules, and approval gates. Instead of one generic assistant trying to do everything, Opensteer agents are trained around one job and the way your company actually gets it done.\n\nWith a team of specialized agents, you essentially have a suite of AI employees that help run and accelerate your business 24/7.\n\n<https://www.youtube.com/watch?v=6_KREHla-b8>\n\n**The Problem**\n\nAgents today are too generic. They get a long prompt, a huge context window, and every tool loaded at once.\n\nBut real company workflows are specific and messy. Sales follow-up happens across a CRM, Gmail, LinkedIn, and Slack. Support triage may require tickets, docs, dashboards, and manager approvals. Ops work often lives inside browser-only portals with no API.\n\nEach job needs its own rules, context, workflows, and guardrails. With one generic agent, those rules get blended together, important context gets lost, and the quality of the work drops.\n\n**The Solution**\n\nOpensteer turns a generic agent into a specialized worker by giving it a custom harness for one job.\n\nA harness is a filesystem that teaches an agent how to do a workflow well. It contains the agent's operating playbook, memory, tools, schedules, browser access, deterministic code, approval rules, and integrations for that specific job.\n\nSkills tell the agent how to think, make tradeoffs, and follow your company's rules. Actions and scripts handle the parts that should run the same way every time: API calls, browser automation, parsing, validation, database updates, notifications, and scheduled routines.\n\nYou decide where each workflow sits on the autonomy spectrum: deterministic code, agent judgment, human approval, or a mix of all three.\n\nBecause harnesses can use APIs, first-party MCPs, CLIs, custom code, and browser automation, Opensteer agents can integrate with anything your team already uses.\n\n**How It Works**\n\n1\\. Describe the job you want the agent to own.\n\n2\\. Opensteer creates a specialized harness for that workflow.\n\n3\\. Connect the apps, browser profiles, tools, APIs, and data it needs.\n\n4\\. Add rules, approvals, schedules, and deterministic actions.\n\n5\\. Run it in the cloud, then check in or steer it from Opensteer, Claude Code, or Codex.\n\n**Our Ask**\n\nCreate your own custom, specialized agents today at Opensteer or book a call here: [**https://cal.com/tim-opensteer/30min**](https://cal.com/tim-opensteer/30min)\n\nWebsite: [**https://opensteer.com**](https://opensteer.com)\n\nEmail: [**tim@opensteer.com**](mailto:tim@opensteer.com)",
        "url": "https://www.ycombinator.com/launches/QYO-opensteer-specialized-agents-that-learn-and-run-your-business",
        "votes": 17,
        "created_at": "2026-05-28T07:11:36.274Z"
      },
      {
        "id": 95163,
        "title": "Oversteer - The Most Reliable Browser Agent for Any Web Task",
        "tagline": "Turn any website into a reusable API",
        "body": "**_TL;DR_** Oversteer is building browser agents to automate web tasks and turn them into reusable, deterministic APIs. You can integrate the API into any system and automate/integrate any website or portal. \n\nhttps://www.youtube.com/watch?v=IZCy2r-rs7s\n\n# **What’s the insight?**\n\nAcross industries, teams still outsource repetitive web tasks — logging into portals, downloading files, submitting forms, extracting data — to human labor, spending millions of human labor hours. Traditional browser automation tools exist, but they’re **unreliable, expensive, and non-deterministic**. Companies and users want something that just works - a reliable agent that can execute their workflow end-to-end deterministically that works correctly every time, and actually replace human work. \n\n# **What did we build?**\n\nOversteer is an **AI browser agent** that automates any website or web portal from a simple prompt. It generates **deterministic scripts** that run like APIs — **reliable, reusable, and self-healing** when websites change. Because they don’t rely on LLMs at runtime, they’re **fast, consistent, and cheaper** than traditional browser agents.\n\n# **How it works:**\n\n**Step 1:** Understands and records a user’s web workflow from just a prompt.\\\n**Step 2:** Generates a deterministic automation script from the workflow.\\\n**Step 3:** Handles anti-bot detection, CAPTCHA solving, and automatic login with 2FA.\\\n**Step 4:** Runs as a reusable API and connects to systems like Zapier, n8n, and app builders like Lovable, v0.\\\n**Step 5:** Automatically adapts when websites update, ensuring the automation keeps working.\n\n---\n\n# **The Team**\n\n**Tim Jang** – Founder. Previously built multiple consumer apps with millions of users. Developed large-scale web automation systems to extract real-time data on millions of consumer products, and is now bringing that technology into a product that anyone can use.\n\n---\n\n# **Our Ask (and Offer)**\n\nTry it yourself for free: https://oversteer.dev\n\nIntro: We’re looking to connect with companies that spend hours doing repetitive web tasks — in **procurement, logistics, healthcare, accounting, finance**, or any industry with heavy manual computer work.\n\nOr if you’re someone who wants to integrate websites into automation workflow tools like n8n, Zapier, or app builders like Lovable, we’d love to talk.\n\nFeel free to email me at [**tim@oversteer.dev**](mailto:tim@oversteer.dev)\n\nor book a meeting here: https://cal.com/tim-jang-r1jrml/30min",
        "url": "https://www.ycombinator.com/launches/Okt-oversteer-the-most-reliable-browser-agent-for-any-web-task",
        "votes": 15,
        "created_at": "2025-11-05T02:17:41.406Z"
      }
    ]
  },
  {
    "id": 29150,
    "name": "Tempo",
    "slug": "tempo-2",
    "former_names": [
      "Tempo Labs"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/860f478b7cd2ea33eefb86e90c9c693abef2997f.png",
    "website": "https://www.tempo.new",
    "all_locations": "Toronto, ON, Canada",
    "long_description": "Tempo is a visual editor for react that gives PMs, designers, and engineers the ability to collaborate visually on code. It offers the familiar UX of a design tool but functions like an IDE under the hood. Tempo is optimized for Vite and Tailwind.",
    "one_liner": "Visual Editor for React, powered by AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1689887097,
    "tags": [
      "Developer Tools",
      "B2B",
      "Design Tools",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
      "Canada",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tempo-2",
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    "year_founded": 2023,
    "city": "Toronto",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/tempo-labs/",
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        "user_id": 186561,
        "full_name": "Kevin Michael",
        "title": "Founder",
        "founder_bio": "Spent the last 5 years as founding engineer and head of product at Perpetua ($150M exit). Previously product fellow at Social Capital and engineer on the Visual Studio team at Microsoft.\n\nI've tried every low-code tool on the market and not a single one does a good job integrating with existing production codebases. I'm obsessed with solving this problem at Tempo and using AI to turn anyone into a 10X engineer.",
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      {
        "user_id": 187455,
        "full_name": "Peter Gokhshteyn",
        "title": "Founder",
        "founder_bio": "Passionate about building great products fast. Joined Perpetua ($150M exit) 6 years ago as employee #3 and led the engineering team from idea to PMF. Previous worked as a software developer at Google, Bloomberg & Zynga.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/petergokhshteyn",
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    "jobs": [
      {
        "id": 68263,
        "title": "Software Engineer, Full Stack (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/fszRm52-software-engineer-full-stack-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "React"
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      },
      {
        "id": 68264,
        "title": "Software Engineer, LLMs & AI Agents (In-Person - Toronto)",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/C9xH3JW-software-engineer-llms-ai-agents-in-person-toronto",
        "location": "Toronto, ON, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $200K CAD",
        "equity_range": "0.35% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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          "React"
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      },
      {
        "id": 83825,
        "title": "Founding Product Designer ",
        "url": "https://www.ycombinator.com/companies/tempo-2/jobs/Hia3MVk-founding-product-designer",
        "location": "Main Office - Toronto",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "$125K - $200K CAD",
        "equity_range": "0.25% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript",
          "Figma",
          "Tailwind"
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    ],
    "news": [
      {
        "title": "Tempo's $5M Seed To Empower The Design Engineering Movement",
        "url": "https://www.tempo.new/blog/5m-seed-design-engineering-movement",
        "date": "Oct 22, 2025"
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    "launches": [
      {
        "id": 88483,
        "title": "Tempo V2: Build React Apps 10X Faster With AI",
        "tagline": "Tempo is where designers and developers collaborate on code",
        "body": "### **TL;DR**\n\nTempo is a visual IDE that enables designers, PMs, and developers to collaborate on code with the help of AI. In addition to prompting, Tempo gives you the fine-grain control that comes from a traditional design editor or code editor.\n\nIn V2, we introduce our [Figma Plugin](https://www.figma.com/community/plugin/1463689183126672406/tempo-ai-powered-figma-to-code-react), new AI reasoning + Gemini Search, [pre-built SaaS templates](https://tempolabsinc.mintlify.app/SaasTemplates) (for Stripe, Polar, Supabase, Convex+Clerk), and Expo support for react-native mobile apps. Watch our demo, [here](https://youtu.be/Sup921tMUf4).\n\n**The problem?** \n\n“Low-code” and “design to code” tools suck. As much as they accelerate the development process for simple apps, none have succeeded at helping serious software companies ship production-grade software. \n\nNew AI-powered web app builders take a code-first approach that is superior, however, they still struggle with complex apps and large codebases.\n\n**How we are solving it**\n\nTempo redefines the development workflow by combining the best of an IDE (like VS Code), a design tool (like Figma), and an AI chat assistant that enhances both—creating a single source of truth for designers and developers. Whether you’re a non-technical builder or a seasoned engineer, Tempo streamlines the process from concept to production.\n\nWith **V2, Tempo introduces:**\n\n🎨 **A fine-grain design panel** for pixel-perfect control\n\n🖼️ **A Figma plugin** that converts your designs to code in Tempo\n\n🧠 **Enhanced AI reasoning + Gemini Search** for faster debugging and development.\n\n⚡ **Pre-built SaaS templates** for Stripe, Polar, Supabase, Convex + Clerk.\n\n📱 **Expo support** for mobile app development with react native.\n\n**Teams use Tempo to:**\n\n* Build production grade applications.\n* Rapidly generate and refine prototypes.\n* Visually collaborate on production code.\n* Ship UIs that are pixel-perfect, every time.\n\nThe interface feels like your favourite design tool but works like an IDE. Teams using tempo ship to production 10x faster by adopting a code-first workflow.\n\n**What are we looking for?** \n\nSimply put—build, share, and showcase what you’ve created. Tag us in your [X](https://x.com/Tempo_Labs), [LinkedIn](https://www.linkedin.com/company/tempolabs/), or other posts, and we’ll amplify it to the community. Also please share your feedback.\n\nNeed additional support to accelerate your product roadmap? [Agent+](https://www.tempo.new/ai-agent-plus) can help accelerate your roadmap—designing and shipping 1-3 features per week. YC companies get $500 off for the first 3 months. Let’s build faster, together.\n\n**About Us:** \n\nFounders [Kevin](https://www.linkedin.com/in/kevin1michael/) and [Peter](https://www.linkedin.com/in/petergokhshteyn/) previously worked at Microsoft, Google, and Perpetua. They are building Tempo to help teams go from idea to production in minutes.",
        "url": "https://www.ycombinator.com/launches/N19-tempo-v2-build-react-apps-10x-faster-with-ai",
        "votes": 53,
        "created_at": "2025-03-11T17:41:51.665Z"
      },
      {
        "id": 73362,
        "title": "Tempo Labs - Build UIs 10X faster with AI",
        "tagline": "AI design & prototyping tool which contributes react code directly to your codebase",
        "body": "**TL;DR:** [_Tempo_](https://www.tempolabs.ai/) is an AI design & prototyping tool which contributes high-quality react code directly to your codebase. You can use tempo to generate complete views using simple AI prompts, polish & control design details visually, and build a high quality design system using your existing components. Sign up here to give it a try: [**_https://www.tempolabs.ai/_**](https://www.tempolabs.ai/)_._\n\nHere’s a 2-min demo: [**https://www.youtube.com/watch?v=2qQJKQJq7Jk**](https://www.youtube.com/watch?v=2qQJKQJq7Jk)\n\nHey Everyone, [Kevin](https://www.linkedin.com/in/kevin1michael/) & [Peter](https://www.linkedin.com/in/petergokhshteyn/) here, we’re the founders of [Tempo Labs](https://www.tempolabs.ai/).\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=73362&key=user_uploads/186561/3de21c2f-8b73-4db8-8f65-5e2b61ea3670)\n\n### **The Problem**\n\nWhile building our last startup (Perpetua), we spent a lot of time looking for ways to speed up the pace of our development and prototyping. We tried every low-code tool on the market and were constantly disappointed by how poorly they integrated with our existing codebase. Figma ended up being our de facto tool for testing concepts but Figma prototypes always felt low-fidelity and took way too long to ship to production.\n\n### **The Solution**\n\nTempo is the design and prototyping tool we wish existed. Tempo integrates with any react project and empowers designers to collaborate with engineers directly on the codebase. Powered by AI, tempo generates 60%-80% of the front-end code required for any feature so engineers are free to focus on writing business logic rather than css. By eliminating the design->code translation process we help teams ship their ideas to production 10X faster.\n\n### **The Ask**\n\nIf you’re building a react app and are interested in testing us out please email me at [**kevin@tempolabs.ai**](mailto:kevin@tempolabs.ai). If you already have a design system we’ll give you a visual playground to build new views, if you don’t, we’ll help you implement one! If your app looks like crap, or your codebase feels hard to maintain, get in touch - we’ll help you level up your front-end using AI :)\n\n### **The Deal**\n\nSign-up before demo day and get 70% off for the first 6 months!",
        "url": "https://www.ycombinator.com/launches/J5G-tempo-labs-build-uis-10x-faster-with-ai",
        "votes": 84,
        "created_at": "2023-07-24T18:15:59.327Z"
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    "id": 29152,
    "name": "Cembla",
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    "subindustry": "B2B -> Legal",
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        "answer": "Ben and Brian met at the 2015 Speech & Debate Nationals the summer before the start of their freshman year at Stanford. Since then, they’ve been best friends and are currently roommates in San Francisco. After graduating with his master’s in computer science, Ben was most recently an applied machine learning researcher in a Stanford research lab. After graduating with his bachelor’s in engineering, Brian was most recently a product manager on the front lines of early AI adoption in industry. Ben and Brian started Taylor because they saw companies rushing to adopt AI but struggling to adapt one-size-fits-all chat models for their use cases."
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        "full_name": "Brian Kim",
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        "founder_bio": "S23",
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        "full_name": "Benjamin Anderson",
        "title": "Founder",
        "founder_bio": "CTO",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/andersonbcdefg",
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    "news": [
      {
        "title": "Data Engineering Startups funded by Y Combinator (YC) 2024 | Y Combinator",
        "url": "https://www.ycombinator.com/companies/industry/data-engineering",
        "date": "Apr 01, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 26, 2024"
      },
      {
        "title": "The Journal by Fondo | Taylor AI launches: Tag your text data at scale",
        "url": "https://www.tryfondo.com/blog/taylor-ai-launches",
        "date": "Mar 25, 2024"
      },
      {
        "title": "Bruckner Ventures on LinkedIn: 🚨 Bruckner Ventures is thrilled to announce our investment in Taylor AI…",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7136381855037100033/?actorCompanyId=95063899",
        "date": "Dec 01, 2023"
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      {
        "title": "The AI Edge on LinkedIn: #ai #aitools #tech #productivity | 10 comments",
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        "id": 79451,
        "title": "Taylor — Tag your text data at scale",
        "tagline": "The API for on-demand text classification (No LLMs)",
        "body": "Hey everyone! 👋 We're Ben & Brian.\n\n**TL;DR** Use Taylor’s API to tag your free text faster and cheaper than a LLM can.\n\n**THE PROBLEM** High-volume, high-frequency text data (like user-generated content, chat completions, and lead communication logs) is difficult to sort, productize, and manage. You can tag text with LLMs, which works well on smaller datasets but is challenging at scale due to rate limits, high latency, and accuracy issues (“creative” labels). What if you could classify text in real time with no rate limits?\n\n**OUR SOLUTION** An API for classifying your text in milliseconds into hierarchical labels. For example, use our out-of-the-box **topic classification model** to tag your free text by topic.\n\n![uploaded image](/media/?type=post&id=79451&key=user_uploads/989748/3ee6956b-5fd4-4f09-a9f4-8150c204b8ac)\n\n**OUR ASKS**\n\n1. Make a request to our topic classification model! [Log in](https://www.trytaylor.ai/login), grab your API key, and then use [this starter code](https://docs.trytaylor.ai/Topic%20Tags/request#full-example) to get back topic labels.\n2. Not the labels you need? Email us ([founders@trytaylor.ai](mailto:founders@trytaylor.ai)) or book time [here](https://calendly.com/brian-r0o/taylor-ai).\n3. Follow us on [Twitter](https://twitter.com/TryTaylor_AI) and [LinkedIn](https://www.linkedin.com/company/taylor-ai/) to stay on top of our latest models and roadmap!",
        "url": "https://www.ycombinator.com/launches/KfT-taylor-tag-your-text-data-at-scale",
        "votes": 64,
        "created_at": "2024-03-18T03:17:06.573Z"
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    "id": 29178,
    "name": "Lantern",
    "slug": "lantern-2",
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    "website": "http://lantern.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lantern is the easiest way to build AI applications using Postgres.\r\n\r\nWe started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications.\r\n\r\nWith Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions.\r\n\r\nCheck out our code on Github: https://github.com/lanterndata/lantern",
    "one_liner": "Postgres vector database extension to build AI applications",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1690583353,
    "tags": [
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      "Open Source",
      "Enterprise",
      "AI",
      "Databases"
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    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/lantern-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/lantern-2.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98218505",
    "x_url": "https://twitter.com/lanterndb",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 343105,
        "full_name": "Di Qi",
        "title": "Founder",
        "founder_bio": "I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/di-qi/",
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        "user_id": 1518897,
        "full_name": "Narek Galstyan",
        "title": "Founder",
        "founder_bio": "Now building the only database you'll need for your AI applications.\n\nI was an early engineer at Timescale, a billion-dollar Postgres company, where I contributed core features.\n\nI did my undergrad at Princeton, where I built a safe OS schedule in Rust for my thesis. More recently, I was a PhD Student at UC Berkeley working on distributed systems.",
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    "news": [
      {
        "title": "YC’s latest Demo Day shows fascinating wagers on healthcare, chip design, AI and more | TechCrunch",
        "url": "https://techcrunch.com/2024/04/04/ycs-latest-demo-day-shows-fascinating-wagers-on-healthcare-chip-design-ai-and-more/",
        "date": "Apr 04, 2024"
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    ],
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      {
        "id": 79083,
        "title": "Lantern - Postgres vector database 🏮",
        "tagline": "Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use",
        "body": "Hi! We’re Di and Narek. We’re building [Lantern](https://lantern.dev).\n\n## About Lantern\n\nLantern is a Postgres vector database that is easy to use, cost-effective, and scales to billions.\n\nAnyone using a standalone vector database such as Pinecone has to maintain a separate database for their other application needs. This adds complexity. With Lantern, you can run vector search in the database you already know and love, Postgres. In addition, Lantern is [orders](https://lantern.dev/pricing) of magnitude cheaper than Pinecone.\n\nWe recently released [product quantization](https://lantern.dev/blog/pq). This enables index compression so the index can use up to 90% less memory and cost an additional 90% less!\n\nWe support [embedding generation](https://lantern.dev/docs/develop/generate) with Open AI, Cohere, and open-source embedding models inside the database for one-off queries. For bulk transactions and managed columns, we support generating up to 2 million embeddings per hour.\n\n![uploaded image](/media/?type=post&id=79083&key=user_uploads/343105/9ef30a0c-40fe-4de5-b6e7-a64c313ed329)\n\nWe also support [external index creation](https://lantern.dev/blog/hnsw-index-creation), which offloads index creation to external machines to avoid expensive index creation processes causing downtime in production databases.\n\n## Get Started\n\nThe easiest way to get started is with [Lantern Cloud](https://lantern.dev), our managed Postgres service. To self-host or explore our source code, check out our [GitHub repo](http://github.com/lanterndata/lantern).\n\nIf you are currently using another vector database provider or another Postgres provider, we have tools to make migration seamless.\n\nWe have multiple customers using Lantern in production, and we’d love to have you give us a try too! We’re happy to answer any questions or help you get set up - reach out at [support@lantern.dev](mailto:support@lantern.dev) or on X at [@diqitally](https://twitter.com/diqitally).\n\n![](https://lh7-us.googleusercontent.com/olpVbw9LdPqQvlae8m2tpV7bEcDzlwVIuv0laDX55L0r130wsYWkV-lGIcsCletv4I6zgYADCQ_sHmjWtMNZNpJlUkM_g7Z6TpkZJtCO54acRTUMNAyTuPF4HQfT9Na2YWXWzWx19l4_jl5zNikU-bE)\n\n## About Us\n\nBefore Lantern, [Narek](https://linkedin.com/in/ngalstyan) was a PhD student in distributed systems at Berkeley and worked at Timescale, a billion-dollar Postgres company. [Di](https://www.linkedin.com/in/di-qi/) worked at Y Combinator as a software engineer, co-founded a YC-backed 15-minute delivery startup, and worked at Facebook Ads Ranking.",
        "url": "https://www.ycombinator.com/launches/KZX-lantern-postgres-vector-database",
        "votes": 49,
        "created_at": "2024-03-05T21:29:57.288Z"
      }
    ]
  },
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    "id": 29182,
    "name": "Upsolve AI",
    "slug": "upsolve-ai",
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        "full_name": "Ka Ling Wu",
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        "founder_bio": "Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.",
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        "full_name": "Serguei Balanovich",
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        "founder_bio": "Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead.\nOutside of software, Serguei loves puzzles, board games, and teaching.",
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      {
        "id": 103717,
        "title": "🐳 Upsolve AI - Agent Studio for Data Team",
        "tagline": "Deploy trustworthy and governed analytics agent that know your business and data.",
        "body": "**🏆 TL;DR:** Upsolve AI is context infrastructure for analytics agents. We help data teams ship analytics agents that non-technical users actually trust. Agents that pull the _right_ numbers and explain them in your business's context, not just generate plausible SQL. If you've ever tried to put an analytics agent in front of your team and quietly killed it after it gave two different answers to the same question, this is for you.\n\n<https://youtu.be/2bXZb6D-cNA>\n\n## ❌ **The Problem**\n\n\"Let's just build an analytics agent.\" Every data team drowning in requests has this thought. The beta feels like magic until a non-technical user asks the same question three times and gets two different answers. Trust dies. The project quietly joins the 95% of AI POCs that never reach production.\n\nYou already know it's not the model, GPT and Claude write fine SQL. The model just has no idea how _your_ business works:\n\n* **Governance and permission can't live in a prompt.** You can't trust an LLM to implement row- and column-level access or enforce who sees what. Without governance that an agent can't override, you can't put it in front of anyone outside the data team.\n* **It pulls the wrong data and joins the wrong tables.** “gross_revenue” vs “net_revenue”, “customers” vs “users”. A semantic layer problem dressed up as a text-to-SQL one.\n* **Technically correct, practically wrong.** Your fiscal year ends in March, not December. The number is \"correct\" and still useless.\n* **Your semantic layer and context goes stale.** \"User\" got redefined twice since you scoped the project. Your semantic layer and context didn't keep up.\n* **No observability, no improvement.** If you can't trace and root-cause a bad answer, you can't improve it.\n\nThese aren't LLM model problems. They're context problems, and context lives in docs, Slack threads, validated SQL from 2021, and your analysts' heads. No amount of SQL generation skill recovers it.\n\n## ⚒️ What Agent Studio gives you\n\nA builder surface to encode context across three layers: **Structure** (schema, lineage, semantic model), **Meaning** (metrics, KPIs, business rules), and **Trust** (verified answers, usage signals, golden sets), then deploy and tune against it:\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/44acebc6-4f8c-4fb2-86e0-cc9959bbd2df)\n\n* **Software-defined, granular permissioning** baked into the data model, enforced beneath the agent.\n* **A self-updating context layer** that captures institutional knowledge across your files and systems, so metric redefinitions and new launches don't silently break answers.\n* **End-to-end tracing, an eval harness, and a staging sandbox**. Golden query sets and LLM-as-judge scoring before a single user sees an answer, plus prompt and SQL provenance for every response in production.\n* **A compounding accuracy loop**. Wrong answers and poor behavior get flagged from real conversations and fed back, so the agent gets _more_ trustworthy over time.\n\n**End result:** No existing semantic model required to start. Your team deploys analytics agents they don't have to babysit, and your non-technical users get answers they trust, wherever they already work (Slack, your product, internal portal, or any MCP surface).\n\nTeams hit production-grade eval accuracy, clear 60–80% of their ad-hoc backlog in 7 days, and move stakeholders from a 3–5 day queue to answers in seconds.\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/79a3a29c-482f-4119-92f5-38612bd34bdb)\n\n## 🤝 Why trust us\n\nWe’re already in production with Fortune 500 users, 100+ person BI teams, and growth-stage companies. We are the team that built HyperAuto at Palantir, and encoding messy institutional context into systems is the problem we've spent years on.\n\n## 🙏 Our ask\n\nThis is for you if you own a data or BI function and you're either:\n\n* Drowning in ad-hoc requests, where **repeat questions eat your analysts' week** and a generic GPT-on-the-warehouse attempt already fizzled, or\n* A **B2B SaaS team whose customers keep asking for deeper analytics and insights** and you don't want to spend two quarters of engineering effort building it.\n\nIf you're a Head of Data, BI lead, analytics engineer, or VP Product who lives this, [**book a demo here**](https://calendly.com/kaling-aqk/upsolve-initial-exploration) or reach me directly at [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai). We'll stand up a POC against your real data warehouse, not a sandbox.",
        "url": "https://www.ycombinator.com/launches/Qyr-upsolve-ai-agent-studio-for-data-team",
        "votes": 14,
        "created_at": "2026-06-23T03:55:11.309Z"
      },
      {
        "id": 89121,
        "title": "🐳 Upsolve AI - Embed GenBI in Your App",
        "tagline": "Spoil your users with hyper-personalized customer-facing analytics and insights that adapt on demand and “Just-Works”.",
        "body": "# 🏆 **TL;DR**\n\nGeneric dashboards in SAAS platform suck. Some might even say they’re dead.\n\nBut nearly all SaaS apps need a dashboard to show proof of value to stakeholders. With [Upsolve AI](https://upsolve.ai/), delight your end users with customer-facing analytics that “Just Works”, Make them want to use the analytics and love your product more.\n\nOnce you Upsolve your platform with our GenBI solution, your end users get to access adaptive and hyper-personalized analytics simply by telling your platform their persona and what kind of KPIs they care the most. They can easily drill down into the data at the speed of thought via natural language prompting. Our AI also interprets the data and provides guided insights, shedding light on what matters the most. Our AI can then investigate the data further, provide additional insights to optimize decision making.\n\n# **🤨 Problem - Generic Dashboards in SaaS apps suck.**\n\n🗺️ Can you imagine planning a cross-continent trip with nothing but a paper map?\n\n⁉️ \"Duh.\" Of course not.\n\n😵‍💫 Yet this is precisely what SaaS users endure with traditional dashboards every day. They're like paper maps showing only major highways and cities—filled with generic metrics and charts that, for the most part, have zero relevance to your customer’s unique destination.\n\n**Users get no value out of generic dashboards.** CFO, Regional directors and store managers stare at identical metrics in your expensive SaaS platform that took months to implement. Both search for answers to different questions to achieve different objectives. Both get lost. Their mission controls shouldn’t look the same.\n\n**Your teams feel this pain too.** They’ve heard “can you get this chart for me?” from their end users way too many times. Visionaries become data query processors right when product innovation matters most. You end up building the infamous “Download CSV” button in your product or exposing an API to allow your customer to extract a data cut. As a result, you lose in-product user engagement prematurely.\n\n**Dashboards should give the end user that “it gets me” feeling without the overhead.** It should create moments of delight and clarity that elevate decision-making from burden to superpower. It should be part of the reason your customers choose your product. It should turn your customers into your advocates.\n\n# **💡 Solution - With Upsolve AI, you demonstrate and enhance your value to customers**\n\nIn a world of paper-map dashboards, Upsolve delivers the magic of Modern Map Apps for your customers' data to your end users. Give each end-user intelligent dashboards tailored to their goals and objectives, real-time alerts, and highlighting trends and insights worth doing something about— an all-in-one experience that transforms static metrics into operational brilliance. [Watch the demo video below](https://youtu.be/K6GiczydAQI):\n\nWe’re ready to power your customer-facing analytics and give your users those “aha!” moments with our AI features below:\n\n1. **AI Report Generator: Adaptive, Hyper-personalized Analytics and Dashboard** 🪄\\\n   Give every end user that bespoke experience they deserve. Upsolve’s next-gen dashboard spins up analytics and interfaces dynamically based on user’s unique role, surfacing precisely the KPIs that drive decisions, at the right time.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/9fb2c6dd-b242-44fd-9995-6aba0933bdb2)\n\n2. **AI Drill Down: Natural Language Slice & Dice**\\\n   Built to make data-driven decision more accessible to less tech-savvy users. Applying 5 filters? Text to SQL? Skip these all together. Let you users query in natural language and watch the magic happen at the speed of thought.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/6fe57514-06d4-44d2-b1ff-4d78ec735a1e)\n\n3. **AI-Guided Insights: Interpretation**\\\n   An AI that picks up the signs for you 🎏 Upsolve flags important data signals and anomalies and push alerts to the user automatically, with no need to set up any automations up front.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/c946ad6b-36bc-4f63-bfb7-e732ede6178b)\n\n4. **AI-powered Investigation: Great analysts identify what users DIDN’T ask for but what they actually need**\\\n   Upsolve connects the dots, spots the trends, and asks questions you didn’t even think of to get the big “whys” answered. Guide your team’s decisions with AI-powered nudges.\n\n   ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/26a6d178-c603-4cc0-aeab-0df6614289a0)\n\n\nGive your users a dashboard, along with a customer success manager, AND a data analyst that proactively provides intelligence without them asking. That’s Upsolve AI, the all-in-one data experience your customers deserve, without you lifting a finger.\n\n# **🙏 Ask**\n\nTempted to Upsolve your product and embed GenBI in your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us today or reach us at kaling.wu@upsolve.ai!\n\n![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/2c9606ff-c549-4c9d-a83d-15ec22fb82ce)\n\n",
        "url": "https://www.ycombinator.com/launches/NBR-upsolve-ai-embed-genbi-in-your-app",
        "votes": 45,
        "created_at": "2025-03-31T15:41:46.714Z"
      },
      {
        "id": 84312,
        "title": "🐳 Upsolve AI - Embedded Business Intelligence (BI)",
        "tagline": "Allow yours users to build and customize their dashboards and reports within your platform.",
        "body": "🏆 **TLDR**\\\n[Upsolve AI](https://upsolve.ai/) allows you to build and deliver customer-facing analytics to your end-users via an embeddable dashboard.\n\nWe’ve just released our newest feature: **Personal Workspace for dashboards. This allows your end users to build their own dashboards and reports within your product.** Your users no longer need to wait for your customer success manager or product team to get the metrics or reports they need! 📈\n\nSome examples of how our customers enable their end users with this Upsolve feature:\n\n* An expense management platform allows their end users to build out customized receipt audit reports\n* An AI observability platform enables their solution engineers and enterprise customers to build tailored observability metrics report\n* A supply chain risk management platform empowers their Fortune 500 customers to build out targeted supply chain visibility dashboard\n\n**🤨 Problem**\\\nMost B2B SaaS companies need to build dashboards. [**A true dashboard communicates your product value to all stakeholders of your customers, even — and especially — those who never use the app.**](https://www.saastr.com/want-go-upmarket-need-great-dashboard/) This is especially true for enterprise software.\n\nHowever, most, if not all, traditional dashboards failed to achieve this. Traditional dashboards are highly restrictive. Customers cannot customize the dashboard to fully understand their unique state of the world. This leads to frequent ad-hoc data cuts and reporting requests, causing operational friction with your customer support, product, and engineering teams. What’s worse, this means your users can’t get their questions answered right away, resulting in a subpar product experience.\n\n**💡 Solution - Personal Dashboard Workspace**\\\n“Upsolve your product” by embedding our component in your product. Your users gain the superpower to build out their own version of dashboards, either by building them from a blank canvas or by modifying the dashboard template you ship out. [Watch the demo below](https://youtu.be/hj7VJSC_LyU?feature=shared):\n\n1. Chart Explorer:\\\n   Your end users will now have access to all the verified/published charts your organization has provided. This means you can produce dozens of charts but leave it up to your end users to choose which of these charts they actually care to see and in which positions on their dashboard.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/09a4f16d-2f03-40e2-96b8-07e272beedd4)\n\n2. Point and Click Builder:\\\n   If none of the published charts are good enough for your end users' use cases, your end users can access a point-and-click chart builder. Any charts they produce will be surfaced back to you for potential reuse/sharing among your other users.\n\n   ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/743ca11c-4cb9-4144-bf34-1a260c049b9e)\n\n\n**🙏 Ask**\\\nIs this a problem you are facing, and do you want to solve it at the root? Tempted to Upsolve your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us!",
        "url": "https://www.ycombinator.com/launches/Lvs-upsolve-ai-embedded-business-intelligence-bi",
        "votes": 57,
        "created_at": "2024-09-26T15:01:45.124Z"
      },
      {
        "id": 78495,
        "title": "🐳 Upsolve AI - The new way to build and offer analytics to your customers",
        "tagline": "Build customer-facing analytics that get your users to take in-product actions and become obsessed with your product!",
        "body": "### **🏆 Tl;dr:**\n\n[**Upsolve AI**](https://upsolve.ai/) **helps companies build and offer analytics to their customers**, with AI answering any additional data questions. Ship analytics using an AI-powered builder, and embed them as native frontend components in your product. The dashboard shows your customers insights about your product and guides them with action recommendations to boost your product’s effectiveness. For example, [marketing companies](https://upsolve.ai/impact-study/fiber) use Upsolve to help users optimize their campaigns, and fintech companies use it to help users manage their accounts. [Watch our demo!](https://youtu.be/Vobh2hw_Pgk)\n\n### **💯 The Team**\n\nTogether, [Ka Ling](https://www.linkedin.com/in/wukaling/) and [Serguei](https://www.linkedin.com/in/sbalanovich/) have over 15 years of experience in data engineering and analytics. We took Palantir's Hyperauto (mentioned in Palantir's DPO S-1) from inception to launch, scaling the product to serve more than 50 enterprise customers in less than 2.5 years and generating eight figures in annual revenue.\n\nHaving experienced firsthand the challenges of building customer-facing analytics at startups and working alongside users from over 100 companies, including Fortune 10 (we’ve been on the frontlines at factories and assembly lines with users!), we're determined to simplify data analytics. That's why we created Upsolve AI - to automate and augment analytics. We're committed to ensuring that no business is limited by its analytics-building capabilities and enabling every end user to make informed decisions based on their data.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/0496fa95-d371-4744-bc52-895cb3457400)\n\n## **❌ The Problem**\n\n🔨 **Building customer-facing analytics is hard:** As a founder or SaaS product owner, you understand the importance of data-driven decision-making. However, developing customer-facing analytics dashboards that empower your end users to make decisions requires expertise and can get complex.\n\n⏳ **Traditional dashboards go stale and are highly restrictive:** Customers need customized and dynamic analytics to fully understand their unique state of the world. Traditional dashboards quickly lose value and become outdated as customers seek analytics customization, leading to frequent ad-hoc data cuts and reporting requests, causing operational friction.\n\n⚙️ **Seeing analytics doesn’t mean better action:** Your customers are likely slammed with data from various products and services that they consume and, as a result experiencing decision paralysis due to information overload.\n\nBuilding effective analytics becomes a strain on your engineering resources, hindering user engagement, retention, and revenue growth.\n\n## **📈 The Solution**\n\n🛠️ **Build fast**\n\nUsing Upsolve AI, you can build customer-facing analytics dashboards simply by asking questions or via point-and-click, and theme them to your company’s design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/2f388753-7ee0-4153-a747-737274cc8f97)\n\n**🚀 Instantly deploy**\n\nOnce that is built, you can embed the dashboard natively in your product as a React or Vue component. “WYSIWYG”, the dashboard will look like it’s been built from scratch by your software engineers and will seamlessly fit into your existing design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/b2a830ed-644f-49cb-b817-25ad2eff3fc6)\n\n❤️ **Help your customers**\n\nYour customers can ask questions of the data and customize their own version of the dashboard based on their unique needs. Upsolve AI will also guide them with analytics insights and in-platform actions. Customers will appreciate what your product is doing well for them and will make the most of it, without your team lifting a finger.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/d27b8d34-7ccf-432b-bc33-c79de8ede425)\n\n🔐 **Enterprise security**\n\nComing from Palantir, we understand the importance of keeping your data secure. Upsolve secures your data in transit and at rest and supports multi-tenancy support that works natively with your existing auth system. Simply drop the Upsolve SDK into your auth flow and users will see the version of their dashboard that’s configured for them.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/f05fb5b8-2560-488f-ba63-7f72b25102b8)\n\n# 🙏 Ask\n\nWe are live with our customers now! If you are looking to build your customer-facing analytics in your product, email [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai) to try [Upsolve AI](https://upsolve.ai/).\n\nIf you know any B2B business in your network that’s looking to unlock their customer-facing analytics and reporting capability, we would greatly appreciate any warm introductions using the above email as well!",
        "url": "https://www.ycombinator.com/launches/KQ3-upsolve-ai-the-new-way-to-build-and-offer-analytics-to-your-customers",
        "votes": 532,
        "created_at": "2024-02-17T09:57:38.096Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Scritch is building the leading AI systems for veterinary medicine, starting with voice agents that automate front-desk operations in veterinary practices.",
    "one_liner": "AI operating system for veterinary care",
    "team_size": null,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
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        "full_name": "Claire Lee",
        "title": "Founder",
        "founder_bio": "Claire is the co-founder & CEO of Scritch. She studied neuroscience and machine learning at Princeton. Before Scritch, she trained neural networks as a machine learning engineer in Tesla's Autopilot AI team. ",
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        "linkedin_url": "https://linkedin.com/in/claire-s-lee",
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        "full_name": "Rachel Lee",
        "title": "Founder",
        "founder_bio": "Rachel is the co-founder & CTO of Scritch. She studied computer science at Cornell. Prior to starting Scritch, she was a software engineer at Amazon where she worked on one of the world’s most visited pages, the Amazon detail page.",
        "is_active": true,
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    "id": 29256,
    "name": "Momentic",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Momentic makes Mo, the AI QA engineer. Point Mo at your app with a goal and a swarm of agents bug-bashes it the way your team would, then reports every bug with repro steps, logs, and a video replay.\r\n\r\nNotion, Whatnot, Retool, Webflow, Framer, and 1,600+ teams use Momentic.\r\n\r\nTeams also use Momentic to write end-to-end tests in plain English, run them in CI, and let agents triage and maintain the suite across web and mobile.\r\n\r\nLearn more at momentic.ai",
    "one_liner": "Mo, the AI QA engineer that bug-bashes your app before every release",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1700355696,
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    "linkedin_url": "https://www.linkedin.com/company/momentic-ai",
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        "full_name": "Wei-Wei Wu",
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        "user_id": 1637474,
        "full_name": "Jeff An",
        "title": "Founder/CTO",
        "founder_bio": "I'm a curious and driven technical founder hailing from Toronto, Canada. I love up-leveling others through my work and after graduating from the University of Waterloo, I found my calling in cloud and test infrastructure at companies like Splunk, Google, and Robinhood. Aside from engineering, I love traveling the world (over 100K miles flown in 2023!), playing piano, and hiking.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jeff-an",
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      {
        "id": 85334,
        "title": "Founding Engineer (Frontend)",
        "url": "https://www.ycombinator.com/companies/momentic/jobs/938G5qp-founding-engineer-frontend",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "The Q/A Layer for the AI Coding Era",
        "url": "https://www.youtube.com/watch?v=UpWNdSVWA7M",
        "date": "Mar 23, 2026"
      },
      {
        "title": "Momentic raises $15M to become the AI-era ‘source of truth’ for software quality - SiliconANGLE",
        "url": "https://siliconangle.com/2025/11/24/momentic-raises-15m-become-ai-era-source-truth-software-quality/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $15M to automate software testing | TechCrunch",
        "url": "https://techcrunch.com/2025/11/24/momentic-raises-15m-to-automate-software-testing/",
        "date": "Nov 24, 2025"
      },
      {
        "title": "Momentic raises $3.7M to redefine software testing with AI - SiliconANGLE",
        "url": "https://siliconangle.com/2025/03/04/momentic-raises-3-7m-redefine-software-testing-ai/",
        "date": "Mar 04, 2025"
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    "launches": [
      {
        "id": 117199,
        "title": "Momentic: Mo, the AI QA engineer that finds bugs before your users do",
        "tagline": "Point Mo at your app. Get back the bug report, with repro steps, logs, and a video replay of each one.",
        "body": "**TL;DR:** Mo is an AI QA engineer. Give it any app (web, iOS, or Android) and a goal, and it launches hundreds of agents that bug-bash every nook and cranny of your app the way your team would before a release. You get one report: what was tested, what failed, repro steps, logs, and a video replay of each bug. We’re giving every sign up $250 in free credits at [momentic.ai](http://momentic.ai).\n\nLaunch video: <https://youtu.be/5RMQVtk-ayE>\n\n**Hey YC, we're Wei-Wei and Jeff.** We launched Momentic here in YC W24 as AI-powered end-to-end testing, and teams like Notion, Whatnot, and Retool run their test suites on it today. Today we're launching Mo.\n\n**The problem**\n\nClaude Code, Cursor, and Devin made writing code super easy. Testing is still the bottleneck. Over the past two years, our customers kept telling us: \"I don't want another script to write and maintain\" and \"Now I'm paying double, for QA and for a testing tool we have to use.\" No one asked for another testing framework to learn. All they wanted was no bugs.\n\n**How Mo works**\n\n1. Point Mo at your app and tell it what to test, in plain English: \"bug bash the checkout flow.\"\n2. Mo launches hundreds of agents in parallel on our hosted browsers and emulators/simulators. They click through the app just like a QA engineer would and cover every edge case, every nook and cranny.\n3. Every bug report has repro steps, logs, screenshots, and a video replay. File a ticket or hand it to your coding agent to fix.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/d363fb1e-977d-4c17-84dd-c3b9a8fcc89f)\n\nHere's one from this week. Mo hit Search on GitHub's Pull requests page without touching the prefilled query; GitHub wiped the query and threw an empty-query error. One prompt: \"bug bash\" plus the URL.\n\n**Results so far**\n\nNotion, Glide, Superpower and other teams put Mo on their own apps. Across the beta: Mo ran 1,100+ bug bashes and caught 3,500 verified bugs. One customer told us: \"I reviewed the findings and merged fixes for 10 of them. How did we not catch this already?\"\n\nIn our evals, Mo found 3.8x more bugs than Codex with Playwright MCP, 9x more bugs per hour, at half the cost per bug.\n\n![uploaded image](/media/?type=post&id=117199&key=user_uploads/1327081/a08dc6e5-a978-457b-9e88-d5ebce725be1)\n\n**Why we built it**\n\nWe started Momentic because we hated testing. At Nashi, I spent four hours every Thursday evening manually testing before a release. Two years of selling Momentic taught us that teams don't want better scripts; they want no bugs, so we built Mo to find them.\n\n**Our ask**\n\n* Try it on your app: [momentic.ai](http://momentic.ai), $250 in free credits on signup.\n* YC founders: we have a [sick YC deal](https://bookface.ycombinator.com/deals/2562) to redeem on Bookface.\n* Questions or a bug you want us to look at: DM me on X [@wuweiweiwu](https://x.com/wuweiweiwu).\n\nWei-Wei and Jeff",
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        "votes": 211,
        "created_at": "2026-09-28T16:00:11.921Z"
      },
      {
        "id": 79067,
        "title": "Momentic - Automated testing with AI",
        "tagline": "Use AI to automate the most tedious parts of software development.",
        "body": "Hey everyone 👋 We’re Wei-Wei and Jeff and we're building [Momentic](https://momentic.ai). We're on a mission to make testing easy and fast for developers.\n\n# **TL;DR**\n\nDevelopers author E2E tests 10X faster with Momentic’s low-code editor. We make AI do the heavy lifting for you: finding elements, reasoning about assertions, visual comparisons, and even generating whole test cases!\n\n# **Testing still sucks!**\n\nThe average developer today still spends hundreds of hours every year writing and maintaining test suites in Selenium, Cypress, or Playwright. Existing no-code solutions like Browserstack and Tricentis are often unreliable and difficult to use, forcing teams to fallback on manual QA.\n\nThe bottom line is: **testing slows you down**, and all companies eventually encounter a tradeoff between velocity and quality.\n\n# **What if testing could help developers ship _faster_?**\n\nOur low-code test editor replaces traditional test scripts with AI-powered, self-healing steps. It seamlessly integrates into your existing workflows: from local development to CI/CD environments and production.\n\nHere’s how it works:\n\n_Interact with your app in plain English._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d3261cce-cd3a-4f9c-bc55-0cea1533260f)\n\n_Craft assertions from any logical statement or visual condition._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/9a4fdfe4-f7d8-4183-a4a1-7b09ade815ac)\n\n_Record and replay actions on any site, even those on localhost._\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/25e50c1d-dd84-4e7f-aafa-00e33618b42e)\n\n# **Meet the team**\n\nWe’re [Wei-Wei](https://www.linkedin.com/in/hungweiwu/) and [Jeff](https://www.linkedin.com/in/jeff-an/) - two software engineers who dreaded testing so much we founded a company to do it for us 😂.\n\nWe-Wei was a founding engineer at Nashi and then a staff engineer at Density, leading product engineering and product reliability. Jeff led testing at Robinhood and enterprise quality at Retool, and saw first-hand how lack of testing can impact a company’s bottom line.\n\n![uploaded image](/media/?type=post&id=79067&key=user_uploads/1327081/d66b58e4-4dfa-45f9-89c9-d2cfa4b9bc95)\n\n# **Our ask**\n\nMomentic is currently in private beta, working closely with early customers. We plan to give access to a select few companies in the next few weeks, so please reach out to [founders@momentic.ai](mailto:founders@momentic.ai) or [book a call](https://momentic.ai/demo).\n\nWe would love to work with you if:\n\n1. You want to use Momentic to accelerate development teams without sacrificing quality.\n2. You currently spend more time and resources than you’d like on testing.\n\nWe offer plans for teams of all sizes and offer features such as white-glove onboarding, accessibility audits, visual diffing, environments, source control, custom SSO, and migrations from existing frameworks.\n\nFor more details, visit [momentic.ai](http://momentic.ai).\n\nThank you!\n\nWei-Wei and Jeff",
        "url": "https://www.ycombinator.com/launches/KZH-momentic-automated-testing-with-ai",
        "votes": 341,
        "created_at": "2024-03-05T15:30:46.181Z"
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    "one_liner": "the first all-in-one payroll and HR software for French SMBs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
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        "user_id": 1585512,
        "full_name": "Maxence Drummond",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @malibou 🌴. Graduated from Science Po in Paris, France. After school, I started working in SF helping French tech startups to land in the U.S.. Then joined a VC fund in Paris called Breega, went from associate to Partner, stayed there 5 years and opened their office in the U.K.. Wanted to go to the other side of the table, this time as an entrepreneur!",
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      {
        "user_id": 330417,
        "full_name": "Alexandre Pernin",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @malibou 🌴. Spent my college days studying Maths and Computer Sc. at CentraleSupelec, followed by a second master at the Paris School of Economics. After school, I co-founded a first YC startup in the data space, then joined Theodo (Thoughtworks equiv.) to build various B2B tech products. Now I'm back at YC for round #2, this time as CTO in the HR & Payroll space.",
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        "title": "Malibou: French Payroll Startup Raises $3.3 Million From Breega and YC - Business Insider",
        "url": "https://www.businessinsider.com/malibou-french-payroll-startup-raises-3-million-from-breega-yc-2024-6",
        "date": "Jun 04, 2024"
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    "launches": [
      {
        "id": 79030,
        "title": "🌴 malibou - Simple French payroll",
        "tagline": "Meet malibou, the first all-in-one payroll and HR software for French SMBs",
        "body": "\\[**tl;dr**\\] French payroll is so complex that no one has been able to build the Justwork or Gusto for France. This is coming to an end— we’re building the first all-in-one payroll and HR software for every French startup and SMB.\n\nHey y’all, we’re Max and Alex, the team behind [malibou](https://www.malibou.co/). We’re here to fix French payroll.\n\n![uploaded image](/media/?type=post&id=79030&key=user_uploads/89898/9981454f-3181-4baa-b681-a0fb9d76168d)\n\n**❌ The problem**\n\nRunning payroll in France is tough! There are 800 different labor agreements with its own set of rules, and each company belongs to a different one.\n\nSo when processing payroll in France, you either have the choice between\n\n1/ an accountant with good advice but no way to connect a good HRIS with him. Everything is manual (excel file, emails…)\n\n2/ a good HRIS that does not include payroll services— no one wants to deal with French payroll\n\n**✅ The solution**\n\nMalibou is the first all-in-one payroll and HR software for every French startup and SMB.\n\nOur promise is the following: 1/ We provide best-in-class HRIS designed for local compliance and 2/ We provide expert help so that HR managers and CEOs don’t have to deal with bureaucracy.\n\nThanks to malibou, companies can manage employee repositories, onboard newcomers in a few clicks, accept leave requests, validate and distribute payslips, pay their team from the app, and ask any questions related to social laws to our experts. Employees benefit from direct access to malibou.\n\n![uploaded image](/media/?type=post&id=79030&key=user_uploads/1585512/bc7eac7b-0867-422b-b423-d459248f6c2d)\n\n**👥 The team**\n\n[**Max**](https://www.linkedin.com/in/maxence-drummond-485057b4/) and [**Alex**](https://www.linkedin.com/in/alexandre-pernin-602308a3/) here, originally from France 🇫🇷.\n\nMax was a VC partner at Breega, where he opened the London office.\n\nAlex is a software engineer and also an ex-YC founder.\n\n**🙏 Ask: How you can help**\n\n* Share this with anyone you know who is employing people in France\n* If you have questions or requests, email us at [maxence.drummond@malibou.co](mailto:maxence.drummond@malibou.co)\n* You can also book a meeting with Max [here](https://calendar.app.google/1raqzyT4ufWPmrxeA)",
        "url": "https://www.ycombinator.com/launches/KYg-malibou-simple-french-payroll",
        "votes": 43,
        "created_at": "2024-03-04T18:55:43.779Z"
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    "id": 29263,
    "name": "Alex",
    "slug": "alex-com",
    "former_names": [
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    "website": "https://alex.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alex interviews, screens, and schedules every candidate – over voice, video, and text – so talent teams hire more great people, faster, without adding TA headcount. The recruiter stays in control: every shortlist is approved by a human, and every relationship and offer is owned by the customer's team.\r\n\r\nWe're past 1M+ interviews, integrate with 33+ ATS platforms, and 96% of candidates prefer interviewing with Alex. We're revenue-generating, well-funded, backed by premier investors, and are focused on enterprise customers: selling to VPs of Talent Acquisition, CHROs, and CFOs at large employers who are rethinking how hiring gets done at scale.",
    "one_liner": "Alex is the AI recruiter for hiring great people.",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1703103445,
    "tags": [
      "SaaS",
      "B2B",
      "Recruiting",
      "HR Tech",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/alex-com",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/alex-com.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hire-alex/",
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    "cb_url": "https://www.crunchbase.com/organization/alexai",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1130140,
        "full_name": "Aaron Wang",
        "title": "Founder/CEO",
        "founder_bio": "Before Alex AI, Aaron worked in quant finance and at Facebook AI. He studied computer science, applied math, and economics at Brown.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aaronjwang",
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      {
        "user_id": 1649378,
        "full_name": "John Rytel",
        "title": "Founder/CTO",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/john-rytel-955436221",
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        "id": 106606,
        "title": "Account Manager",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/94T4yHu-account-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
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        "equity_range": "0.10% - 0.15%",
        "experience": "5+ years",
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        "id": 106644,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/alex-com/jobs/tLgp1Yw-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.05% - 0.15%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [
      {
        "title": "Alex: Your AI Recruiting Partner",
        "url": "https://www.youtube.com/watch?v=3FJV-Gmrpa8",
        "date": "Sep 29, 2025"
      },
      {
        "title": "AI recruiter Alex raises $17M to automate initial job interviews | TechCrunch",
        "url": "https://techcrunch.com/2025/09/29/ai-recruiter-alex-raises-17m-to-automate-initial-job-interviews/",
        "date": "Sep 29, 2025"
      },
      {
        "title": "The Pitch Deck This AI Recruiter Startup Used to Raise Seed Funding ",
        "url": "https://www.businessinsider.com/pitch-deck-ai-recruiter-startup-apriora-seed-funding-2024-5",
        "date": "May 15, 2024"
      },
      {
        "title": "Your Next Job Interview May Be With ‘Alex,’ The AI Interviewer",
        "url": "https://www.forbes.com/sites/jackkelly/2024/05/10/your-next-job-interview-may-be-with-alex-the-ai-interviewer/?sh=3a44b4d976f2",
        "date": "May 10, 2024"
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      {
        "id": 78994,
        "title": "Alex (fka Apriora) - Your AI interviewer to identify the best candidates faster",
        "tagline": "Reduce recruiting overhead, interview more candidates, and make better hiring decisions.",
        "body": "### TLDR\n\n[**Alex**](https://www.alex.com/) **interviews job candidates in real time.** Companies using Alex reduce recruiting overhead, interview more candidates, and make better hiring decisions. For candidates, we provide an equitable, interactive interviewing experience.\n\n### 📸 Intro\n\nHey all! We’re [Aaron Wang](https://linkedin.com/in/aaronjwang) and [John Rytel](https://linkedin.com/in/johnrytel) from Alex (fka Apriora).\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/794bc140-1ba0-4b71-bdaa-8b29d09722bf)\n\n### **❌** The problem\n\n**Interview processes are slow and expensive.** Companies spend over $5,000 per hire, most of which is time spent by internal recruiting teams and hiring managers interviewing candidates, and the average length for an interview process is \\~30 days.\n\nExisting video interviewing platforms were built to solve this for companies, but their one-way interfaces and cookie-cutter questions create a disappointing candidate experience, resulting in low completion rates and a limited hiring signal.\n\nHow can we offer companies the efficiency of interview automation while providing candidates with a personalized, conversational interview experience?\n\n### 🚀 The solution\n\n**Our AI interviewer conducts real-time video interviews with candidates**, including technical screens, phone screens, system design, coding, behavioral, and more.\n\nUnlike interviewing your candidates manually or with an automated assessment, Alex is:\n\n* **Convenient**: Your AI interviewer is ready to interview candidates 24/7 with unlimited capacity.\n* **Candidate First**: Over 90% of scheduled candidates complete their interviews with an average candidate experience rating of 4.5/5.\n* **Reliable**: Data-driven feedback after each interview is customized to your hiring goals so you can feel confident that you’re moving forward with the right candidates.\n* **Robust**: Alex’s fairness system flags cheating based on multi-modal data, so you can trust your interviewer’s feedback.\n* **Accessible**: One-click integration with your ATS so you don’t need to change your workflow.\n\n![uploaded image](/media/?type=post&id=78994&key=user_uploads/1130140/ef44f880-fb72-4e1d-a641-eb413571aaa5)\n\n_Check out a full interview at apriora.ai/demo_\n\n### 🙏 Ask: How you can help\n\n1. **Who do you know in recruiting or talent acquisition?** We want to learn more about their work and help them! Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n2. **Who do you know that’s hiring and could benefit from AI interviewing?** Reach out to [founders@apriora.ai](mailto:founders@apriora.ai).\n\nThe blurb: “My friends are working on a YC company building AI interviewers that conduct real-time video interviews. I think this could be relevant to you, so feel free to check them out and contact [founders@apriora.ai](mailto:founders@apriora.ai) for more.”\n\n### **🤝** The Deal\n\n**Sign up before Demo Day** to get started with our YC Deal. Reach out to [founders@apriora.ai](mailto:founders@apriora.ai) to set up your custom interviewer.\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building. Find some time [here](https://calendly.com/apriora/aaron) or shoot us an email._",
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        "full_name": "Jude Rizzo",
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        "title": "🧮⚡ Carousel: The AI Assistant For Excel",
        "tagline": "Build Excel models in minutes, not hours.",
        "body": "Hi YC! We're Jude & Daniel, and we’ve built Carousel - an AI assistant that transforms how people work in Excel.\n\n# **The Problem: Excel is Powerful but Painful**\n\nExcel remains the universal language of business despite being:\n\n* **Time-consuming**: Building models takes hours of manual work\n* **Error-prone**: Manual data entry and complex formulas lead to mistakes\n* **Intimidating**: Mastering Excel formulas takes years\n\nProfessionals spend countless hours battling spreadsheets instead of focusing on decision-making.\n\n# **Our Solution: Your Personal Excel Intern**\n\nCarousel is an AI assistant that builds spreadsheets & models in minutes, not hours. \n\nhttps://www.youtube.com/watch?v=8_MWw1lMrzQ\n\nWe've built four core features:\n\n**🤖 Carousel Chat** - Build complete multi-tab models from scratch with conversational prompts. No Excel expertise required. [Models that took hours to spin up now take minutes.](https://youtu.be/dQJbqbEJIiY)\n\n**⚡ Quick Fix** - Select any range, hit Ctrl+Enter, and describe what you want. [Format tables, add analytics, or restructure data instantly.](https://youtu.be/BeXluYKKArM)\n\n**🔍 Model Walkthrough** - Understand complex formulas in plain English. [Model Walkthrough rewrites formulas by swapping cell references like S&U_Sheet!K7 with Transaction Closing Costs (4%).](https://youtu.be/sG3s4Bz1sM0)\n\n**📄 File Context** - Stop doing manual data entry. [Carousel pulls information from your documents and puts them into your Excel file live, complete with automatic source citations.](https://youtu.be/jDx9lNbgLMk)\n\nUnlike your last intern, Carousel is competent, doesn’t complain when asked to fix spreadsheet formatting, and doesn’t need a return offer.\n\nCarousel is what Microsoft’s Copilot for Excel promised to be.\n\n# **Who's It Made For?**\n\nCarousel is designed for anyone who spends significant time in Excel:\n\n* **Financial analysts** building complex financial models\n* **Marketing managers** analyzing campaign performance data\n* **Operations leaders** creating forecasts and tracking KPIs\n* **Product managers** organizing feature roadmaps\n* **Scientists** analyzing experimental data\n* **Consultants** preparing client deliverables\n\n# **Why We Made Carousel**\n\nExcel hasn't fundamentally changed in decades, yet it remains central to how teams & businesses operate. \n\nWe built Carousel to bridge the gap between Excel's insane professional capabilities and its usability challenges.\n\n# **Try Carousel Today**\n\nOur open beta starts today for both individuals and enterprise teams. We'd love your feedback!\n\nIf you spend more than 10 hours a week in Excel or know someone who does, we'd love to chat: [founders@usecarousel.com](mailto:founders@usecarousel.com)\n\n[**www.usecarousel.com**](http://www.usecarousel.com)\n\n![uploaded image](/media/?type=post&id=90376&key=user_uploads/857855/84e41b9e-92f3-41a5-b916-bf73501e30ba)\n\n",
        "url": "https://www.ycombinator.com/launches/NVg-carousel-the-ai-assistant-for-excel",
        "votes": 22,
        "created_at": "2025-05-14T00:15:47.757Z"
      },
      {
        "id": 78887,
        "title": "📊 👀 Carousel: Track changes for PowerPoint & Excel",
        "tagline": "Making it easier to review deliverables with high-fidelity change tracking",
        "body": "Hi! We’re [Jude](https://linkedin.com/in/jude-rizzo-aa71aa207) & [Daniel](https://linkedin.com/in/daniel-wolf-6242431b1), and we’re the co-creators of [Carousel](https://www.carouseltech.io/), a change-tracking tool for PowerPoint & Excel.\n\n \n\n**Investment bankers & consultants don’t use PowerPoint like you do:**\n\nFor most investment banking or consulting projects, the final deliverable is a PowerPoint deck.\n\n \n\nTo make sure the final draft of that deck is perfect, it goes through multiple rounds of review, feedback, & edits.\n\n \n\nThis means that many bankers and consultants spend hours squinting at different decks to see if the footnote on pg. 57 was updated correctly or if all the companies in a table on pg. 34 have uniform EBITDA adjustments.\n\n \n\nSmall details matter a lot, so teams often have to check over hundred-page decks from scratch. This review process is tedious & prone to mistakes.\n\n \n\n**Track deck & model changes with one click:**\n\n \n\nCarousel is a PowerPoint & Excel add-in that captures all the changes made to your team’s materials from shell to client PDF.\n\n \n\n**Carousel tells you exactly WHO changed WHAT and WHEN.** With one click, the add-in highlights everything that changed between any two versions of the model or deck (in your current window, without having to open another file).\n\n \n\n# It’s like Word’s track changes on steroids.\n\n \n\n![uploaded image](/media/?type=post&id=78887&key=user_uploads/857855/b80c80b4-4489-4207-be22-dc1681bc6eb6)\n\n \n\nBefore this, Daniel worked at Bank of America & Elliott Management, where he spent many hours pushing the boundaries of what was possible in PowerPoint & Excel.\n\n \n\nJude was pursuing a Master’s Degree in Mathematics from Cornell with a focus on ML.\n\n \n\nWe realized that PowerPoint & Excel could be a much more pleasant experience for power users with the right tools.\n\n \n\n**If you or someone you know spends more than 15 hours per week in PowerPoint or Excel, **[**let’s chat**](https://calendly.com/daniel-carouseltech)**.**\n\n \n\n ",
        "url": "https://www.ycombinator.com/launches/KWN-carousel-track-changes-for-powerpoint-excel",
        "votes": 41,
        "created_at": "2024-02-29T06:51:51.211Z"
      }
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    "website": "https://wavelength.cx/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The AI-native Customer Intelligence Platform purpose built for post sales teams.\r\nWavelength brings your entire customer data stack into one place - with powerful AI agents that uncover important signals and act instantly",
    "one_liner": "Build Magical Customer Experiences",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1703119093,
    "tags": [
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        "title": "Patchwork - Your team's AI powered communication tool",
        "tagline": "Replace your Slack with a ranked feed of information and AI assisted post creation",
        "body": "Hey everyone! We’re [Nikki](https://www.linkedin.com/in/nikki-a-shah/) and [Dhruhin](https://www.linkedin.com/in/dhruhin/) from [Patchwork](https://www.atpatchwork.com/)!\n\n**TL;DR**\n\nPatchwork supercharges your team’s communication — we replace your Slack with a ranked feed of information, AI assisted post creation, and chat for urgent needs.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/fb3c9788-fb77-4ea7-a5b0-766d51a58935)\n\n### **The Problem**\n\n**Do it all.**\n\nThose are the words etched in our brains during YC, and we know that it only gets worse. We spend our time figuring out how to talk to users, sell to customers, pitch to investors, and meet other founders, all at the same time. Oh, and don’t forget, while doing all of this, you also need to continue building the product.\n\nWe found that the most inefficient part of a company is poor communication. A ping on Slack can take us out of flow and leave us context-switching. While one team member is wrestling with RAG pipelines, another is messaging them about feedback from a user interview. If you choose to respect heads-down time, you’ll end up writing notes in docs that are lost to the ether, never to be looked at again. With more team members, it gets exponentially worse.\n\nIn the end, we’re either left with incomplete information or left sifting through a swamp of chat messages, doc links, and notifications to get the information we need.\n\n### **The Solution**\n\n**LLMs, Posts, and a Ranked Feed.**\n\nPatchwork, with the help of LLMs, allows you to quickly post meeting notes, updates, thoughts, and information into relevant groups.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/2d37f318-48cd-4dc1-953b-5fd4728377c9)\n\nHere’s the best part — **every team member has a smart feed, specifically curated for them**, that ensures they get the most important information first. Say goodbye to the distraction of random messages to get to what you really need. \n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/97cafc6a-a77f-467d-bbd8-c9ba596d6985)\n\nChat is also available for urgent needs. On Patchwork, your urgent chat messages don’t get drowned out with non-urgent matters.\n\n![uploaded image](/media/?type=post&id=78819&key=user_uploads/1642539/92a29007-2c94-49c4-8e7a-569106e3c283)\n\n### **Meet Nikki and Dhruhin**\n\n[Nikki](https://www.linkedin.com/in/nikki-a-shah/) and [Dhruhin](https://www.linkedin.com/in/dhruhin/) worked at Meta, Stripe, and Amazon—three companies known for their incredible writing cultures. They were able to witness firsthand the power of organized, effective communication. At these companies, they worked on 0 to 1 products, which grew from a small founding team to massive organizations. From the beginning, good communication that allowed engineers to stay in flow and also get the information they needed was the secret to both speed and growth.\n\nNow, they’re on a mission to supercharge every team with better communication tools.\n\n### **Our Ask: Try Us!**\n\nIf you’re building a product, talking to users, fundraising, selling to customers, and just trying to do it all — let Patchwork help.\n\nEmail [info@atpatchwork.com](mailto:nikki@atpatchwork.com) and we’ll onboard you!",
        "url": "https://www.ycombinator.com/launches/KVH-patchwork-your-team-s-ai-powered-communication-tool",
        "votes": 56,
        "created_at": "2024-02-27T18:50:20.637Z"
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        "title": "Artisan, the 'stop hiring humans' AI agent startup, raises $25M -- and is still hiring humans  | TechCrunch",
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        "title": "Ava, The Sales Rep Artisan: The AI Employee Who Automates Cold Email",
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        "body": "**After months of relentless work, we present Ava: the first Artisan. Ava is a BDR, and she’ll take your outbound demand generation to new heights.**\n\n# **Here’s How She Works**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/955e21f2-f12f-4e23-8dc1-bd9c232128c8)\n\n**When you first enter the platform, Ava will lead you through a 10-minute onboarding conversation. With this, she’ll have all of the information she needs to run your outbound campaign.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/17b62f86-43ee-4f9c-aef7-6e47a9e2b500)\n\n**Ava will scrape your website and use the onboarding conversation to create a knowledge base on your company, which she’ll use to write emails.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/9fbfd1ab-6740-4087-822a-06d4fa27e3d0)\n\n**Ava will prospect leads at scale, using our database of over 270 million contacts. She will gather 10s of data points on each.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/835149d6-1237-4143-a244-f6d9f03e97f8)\n\n**Ava will ghostwrite & send 1000s of tailored emails to prospects on your behalf, using information provided by you and your website to understand your product, and publicly available information about leads.**\n\n![uploaded image](/media/?type=post&id=77436&key=user_uploads/1602336/b74eed39-fb54-46a5-810e-712001f4c3f4)\n\n**Ava will respond to prospects’ replies with the primary objective of booking sales meetings into your calendar. (Please note this feature is currently in Beta and you will be required to manually review all emails for the next few weeks.)**\n\n### Who Is Ava For?\n\n**We primarily built Ava for B2B SaaS startups with early product-market fit. Ava can take your market traction and pour fuel on the fire! 🔥**\n\n### **To hire Ava, head to **[**https://artisan.co/ava-sales-rep**](https://artisan.co/ava-sales-rep)**, or email **[**jaspar@artisan.co**](mailto:jaspar@artisan.co)",
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        "id": 90728,
        "title": "Simplex - enterprise-grade web agents",
        "tagline": "AI agent companies automate legacy portals using our SDKs.",
        "body": "Simplex builds enterprise-grade web agents that companies use to integrate with legacy portals. We handle everything from building the web agents for you to integrating directly with your existing software stack like forward deployed engineers.\n\nCustomers use Simplex in production right now to:\n\n* submit information from outbound calls into freight software\n* edit and download their customers’ invoices\n* fetch websites’ internal APIs\n* and more.\n\nhttps://youtu.be/97gX3I9PMZ0\n\n# The Problem\n\nLegacy portals aren’t well suited for web agent automation — portals are unintuitive to navigate and functionality is often broken.  Existing web agents like Operator lack fine-grained control over agent behavior and can’t consistently perform these critical legacy workflows.\n\nA fully autonomous AI might fail to reach the desired page, get stuck pressing a broken button, or mistype critical information like an invoice amount or a shipping address. Without control over agent behavior and clear observability during workflows, web agents are blocked from being used during production in these critical scenarios.\n\n# The Solution\n\nSimplex is the production-grade web agent platform that enables AI agents to reliably do work on legacy portals at scale. You can see a live demo of Simplex below – the demo is at 1x speed.\n\nhttps://youtu.be/4VSexxYptV4\n\nWe’ve engineered Simplex to give AI agent developers control, transparency, and reliability. With Simplex you can:\n\n* easily **integrate with your existing stack** – pass the results from LLM calls, databases, your existing agents into Simplex\n* **cache element actions** for speed and consistent performance\n* build **strong evals** to stress-test your workflows at scale and emulate production conditions\n* scale up to **100s of concurrent browser sessions** while handling CAPTCHAs, 2FA, and website authentication on your customers’ portals\n* ensure **no incorrect actions** are taken — if you prompt our agents to click on elements that don’t exist on the page, we'll raise an exception\n* debug with shareable **session replays** and **detailed agent logs**\n\n# The Team\n\n[Shreya Karpoor](https://www.linkedin.com/in/shreya-karpoor/) and [Marco Nocito](https://www.linkedin.com/in/marco-nocito/) are MIT grads who’ve spent years doing computer vision work at Waymo, Tesla, and within MIT labs. They’re excited to use their expertise to bring reliable web agents into widespread production.\n\n# \n\n# Our Ask\n\n* [Book a call here](https://cal.com/marco-nocito-kon7ng/30min) if you want to request API access.\n* [Visit our website here](https://www.simplex.sh/) to see a live demo of Simplex.",
        "url": "https://www.ycombinator.com/launches/NbM-simplex-enterprise-grade-web-agents",
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        "created_at": "2025-05-27T14:42:32.436Z"
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        "id": 87190,
        "title": "Simplex - Web automation for developers",
        "tagline": "API to automate manual workflows on the web",
        "body": "**TL;DR:**\n\n* Simplex is an API that allows you to automate manual workflows on the web. For example, a customer uses us to autonomously purchase materials from Amazon, poll their email inbox for tracking information, then update their internal documentation with that tracking info every six hours.\n* Book [time with us here](https://calendly.com/simplex-interest/marco-chat) if we can help you automate your business.\n\nHi everyone, we’re [Shreya](https://www.linkedin.com/in/shreya-karpoor/) and [Marco](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nTeams are often burdened by manual tasks that have to be repeated thousands of times per month — for example, populating spreadsheets with information from recent emails. From our experience, we found that asking AI agents to solve these problems just didn’t work. They often didn’t follow the same path when we asked them to do the same thing twice, and we couldn’t control any of the actions they took when they made a mistake.\n\nSo we built Simplex to inject intelligence into repeatable, known workflows to help you automate your manual tasks.\n\nWith Simplex, writing a function to pull tracking information from your email is as easy as this:\n\n![uploaded image](/media/?type=post&id=87190&key=user_uploads/910356/27f7171e-7a04-408e-84f9-d7596b9a2e5b)\n\n**Watch a quick demo here:**\n\n<https://www.loom.com/share/9d99e4fdf9e14487ba340d5565c123a2?sid=1d3b2dd6-5e78-4370-bbca-1949fc72eb8e>\n\nA few reasons customers love Simplex:\n\n* **Straight-forward, reliable intelligence:** We break up your web workflows into smaller, more atomic actions (click, type, extract) to enforce while allowing you to leverage the intelligence of AI.\n* **Extract anything on the web:** We’ve built our own vision system to more accurately extract small icons, text, images, or even entire sections of a page.\n* **Run on any site, even internal tooling:** We store your credentials securely to handle website authentication, meaning you can use Simplex on any website or private tooling you have access to.\n* **No need to deal with browser infrastructure yourself:** We handle all the infrastructure, hosting, and scheduling, letting you run these workflows asynchronously at scale.\n\nPeople have requested Simplex to:\n\n* **act as procurement software:** automatically order parts and update internal spreadsheets with delivery information across multiple vendors (Amazon, DigiKey, etc.)\n* **scrape financial information for their hedge fund clients:** pull daily headlines and perform sentiment analysis across hundreds of financial websites for quantitative analysis research\n* **autonomously update their internal database of products:** aggregate manufacturer marketing information for over 2,000,000+ retail products\n* **do the work of an entire data collection team:** collect grant and award information from over 700 government websites\n* and more…\n\n## Our Ask\n\n* We’re looking to onboard teams, especially those that are burdened by manual processes or need to scrape hundreds of thousands of websites. Book a [meeting with us](https://calendly.com/simplex-interest/marco-chat) for a demo and API access. We’re happy to write your first automation for you.",
        "url": "https://www.ycombinator.com/launches/MgI-simplex-web-automation-for-developers",
        "votes": 15,
        "created_at": "2025-01-27T15:36:17.454Z"
      },
      {
        "id": 83077,
        "title": "Simplex: on-demand photorealistic vision datasets",
        "tagline": "Receive millions of high quality images and labels for training your AI models.",
        "body": "**TL:DR;** Simplex creates photorealistic vision datasets rendered from 3D scenes for AI model training. Submit a request [on our website](https://simplex.sh/#data-request-form) to receive high-quality data and labels.\n\n![uploaded image](/media/?type=post&id=83077&key=user_uploads/1588677/826c7bea-8936-451d-97ff-895bc8ca6c38)\n\n**Data request for the above sample:** _“Generate images and labels of a home kitchen with household objects on a center table. I need a variety of household objects in a variety of lighting conditions. Our desired labels are semantic segmentation and depth maps.”_\n\nHi everyone, we’re [**Shreya**](https://www.linkedin.com/in/shreya-karpoor/) and [**Marco**](https://www.linkedin.com/in/marco-nocito/), two MIT grads building Simplex.\n\nCollecting vision data for model training is time-consuming, costly, and often unsafe. Shreya spent over 200 hours physically operating a robot to collect image training data during her research at MIT. Marco worked on machine learning for synthetic data at Waymo to solve this exact problem.\n\nWe realized data scarcity wasn’t just an issue in robotics – it affects any company training vision models. When fine-tuning foundation models or building a new dataset from scratch, teams must curate existing data or label and collect data themselves. \n\nWe resolve the data scarcity problem by generating photorealistic ground truth labeled datasets for **any scenario**. We can generate **millions of varied images** **from 3D scenes** using our physics engine pipeline.\n\nHere’s how you’d use Simplex:\n\n1. Fill out our data request form [here](https://simplex.sh/#data-request-form) – it takes less than a minute. \n2. Give us feedback on a few sample image/label pairs that we generate. Repeat if necessary.\n3. Once you’re satisfied, download your complete dataset.\n\nWe support semantic segmentation, captions, simulated LiDAR, depth maps, and bounding boxes. You can generate large volumes of randomized scenes or provide a CAD/phone scan model for more specific scenes.\n\n# **Our Ask**\n\n* If you or someone you know needs vision data, fill out our 30-second data request [form.](https://www.simplex.sh/#data-request-form) We’re taking a limited number of early customers.\n* If you have a more complicated request or would otherwise like to contact us, email [shreya@simplex.sh](https://mailto:shreya@simplex.sh).\n\n# **The Team**\n\n![uploaded image](/media/?type=post&id=83077&key=user_uploads/1588677/d2e5778c-86c2-4c7b-bc75-3c73aefff883)\n\n[**Shreya**](https://www.linkedin.com/in/shreya-karpoor/): Computer science (BS and MEng) at MIT, software engineer at Tesla and Viam. Built simulation pipelines for locomotion and dexterous manipulation research at MIT. \\\n[**Marco**](https://www.linkedin.com/in/marco-nocito/): Computer science (BS and MEng) at MIT, software engineer at Waymo, Bloomberg, and Viam. Built machine learning models to generate synthetic data at Waymo.",
        "url": "https://www.ycombinator.com/launches/Lbx-simplex-on-demand-photorealistic-vision-datasets",
        "votes": 407,
        "created_at": "2024-08-15T14:29:52.537Z"
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        "role_type": "Devops",
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        "title": "RCM Operations Specialist, Infusion (AI Platform)",
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        "title": "🌊 Trellis AI: Automate your Pre-sevice workflow⚡️",
        "tagline": "Reduce time-to-treatment, improve reimbursement rates, and ",
        "body": "### **TL;DR**\n\nTrellis helps healthcare providers treat more patients faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.\n\n❌ **Problem — Administrative costs are delaying care and draining revenue**\n\nOver 20% of U.S. healthcare spending goes toward administrative costs, delaying care, reducing revenue, and driving staff burnout—while leaving providers with less visibility into patient care than ever before.\n\nPrior authorizations, appeals, and pre-service documentation are some of the biggest bottlenecks to timely treatment. Manual processing is slow, error-prone, and costly—leading to delayed treatments, increased denial rates, and frustrated patients.\n\n🎉 **Solution**\n\nOur AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR—at scale.\n\nWe handle the heavy lifting:\n\n* **Automating document intake** from faxes, PDFs, and scanned forms\n* **Processing prior authorizations and appeals** with high accuracy\n* **Integrating directly into EHR workflows** so staff can focus on care, not paperwork\n\nTrellis in action: Processing hundreds of pages per patient case to identify missing information, complete submissions, and accelerate treatment approvals.\n\n🏃🏽‍♂️ **Leading healthcare organizations use Trellis to:**\n\n* **Reduce time to treatment by over 90%**—ensuring patients start therapy faster\n* **Improve prior authorization approval and reimbursement rates**—reducing revenue leakage\n* **Leverage structured data for better clinical decision-making**—enhancing drug program performance and patient outcomes\n\n**About Us:**\n\nMac & Jacky are friends from the Stanford AI Lab, where we spent too much time indoors building language models and hoping they’d talk back 🧠💻\n\nPreviously, Mac built LLM infra at Cresta and Moveworks where our ML pipelines processed terabytes of chat logs and voice calls. Jacky taught AI classes at Stanford and worked at Meta on real-time machine learning systems handling complex model deployment challenges.\n\nTrellis is a spinout from Stanford AI Lab and is backed by leading investors including YC, General Catalyst, Telesoft Partners, and executives at Google and Salesforce.",
        "url": "https://www.ycombinator.com/launches/KXH-trellis-ai-automate-your-pre-sevice-workflow",
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    "id": 29306,
    "name": "Copper Health",
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    "long_description": "All-in-one RTM platform designed for physical therapy and powered by AI",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "user_id": 1285307,
        "full_name": "Joanne Wang",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder of Epsilab (F26). 2nd time YC founder - previously built Copper Health (W24). ",
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        "linkedin_url": "https://linkedin.com/in/joanne-wang-156ba9154",
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      {
        "id": 79353,
        "title": "⭐️ Airfront - AI-first email platform with built-in automations",
        "tagline": "Let your inbox do work for you!",
        "body": "**TL;DR:** [Airfront](https://airfront.com/) uses AI to automate manual tasks directly from your inbox, and it takes <5 mins to set up. Our platform understands the context behind each email and enables smart workflows such as responding to customers and syncing data. [Join our waitlist](https://www.airfront.com/) or [schedule a demo](https://cal.com/joannewang/airfront-meeting) to see how it works.\n\n\\---\n\nHey all! We’re [Joanne](https://www.linkedin.com/in/joannewang19/) and [Tommy](https://www.linkedin.com/in/thomasguo/), and we’re building Airfront to let your inbox do the work for you.\n\n![uploaded image](/media/?type=post&id=79353&key=user_uploads/1285307/9283d135-ac0f-4587-aa6a-d1e07adca022)\n\nAirfront is an AI-first email platform with built-in automations. We enable smart workflows that go beyond what tools like Zapier offer. With Airfront, you can create automations such as “synthesize the key use cases that buyers mentioned and sync them to Salesforce” or “extract answers from surveys and summarize commonalities”.\n\n📩 **Problem**\n\n* Many people do **manual, repetitive tasks** based on their emails\n* Our inboxes contain lots of insights, but this **valuable data is hard to surface**\n\n**✨ Solution**\n\n* Airfront uses AI to form a **contextual understanding** of emails such as who the email is from and what the email is about\n* Our platform enables **granular workflows** directly from your inbox using natural language. No coding needed.\n\n👨‍💻 [**How it Works**](https://youtu.be/np1jI6whMyo?feature=shared)\n\n👋 **Meet Joanne & Tommy**\n\nWe are both graduates of NYU, and we both grew up in families of small business owners which inspired us to become entrepreneurs ourselves.\n\n* [Tommy](https://www.linkedin.com/in/thomasguo/) studied Computer Science and joined Stripe as the first new grad hire in NYC. As a senior software engineer at Stripe, Tommy worked on search infrastructure and led a team to redesign Stripe's API to accept multiple currencies.\n* [Joanne](https://www.linkedin.com/in/joannewang19/) studied Computing & Data Science and Finance and worked in Tech M&A investment banking at Evercore and subsequently B2B software investing at General Atlantic.\n\n**🚀 Try Airfront**\n\n* Join our waitlist or schedule a quick demo if you’re curious about using Airfront at your company\n* Email us at [founders@airfront.com](mailto:founders@airfront.com) with any thoughts or suggestions. We’d love to hear about what you want to automate for your inbox and any other feedback!",
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        "votes": 100,
        "created_at": "2024-03-13T14:26:26.749Z"
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    "name": "OneGrep",
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    "all_locations": "New York City, NY, USA",
    "long_description": "OneGrep is a DevOps Agent that helps engineers automate manual devops tasks. It works across integrations that teams have to search, correlate, and operate automated tasks like runbook automation during incidents.\r\n\r\nOneGrep specializes across devops tools to help teams release code faster and more reliably so that engineers can spend more time building rather than being trained in bespoke tools like Observability, Ci/Cd, or Infra.\r\n    \r\nAchintya and Brian are technical co-founders who have deep domain expertise in building and operating systems at scale at Coinbase, Disney, and Amazon. Achintya led the Search Team at Disney enabling DisneyPlus to scale to 70M users in two weeks. Brian was a founding engineer on the team that built the Incident Management Platform at Amazon that helps 30k DAUs in Amazon resolve critical incidents every day.\r\n    \r\nhttps://www.onegrep.dev",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1706125160,
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      "DevOps",
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/onegrep",
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      "name": "Nicolas Dessaigne",
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        "user_id": 108240,
        "full_name": "Achintya Ashok",
        "title": "Founder/CEO",
        "founder_bio": "Achintya is a Co-Founder and the CEO of OneGrep which he started with Brian Cripe in late 2023. OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data.\n\nAchintya has worked in engineering highly distributed systems at Coinbase, Disney Streaming, & Goldman Sachs. In a previous life, he was the Tech Lead of the Search Team at Disney Streaming responsible for serving contextual experiences to 70-million customers in real-time.",
        "is_active": true,
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      {
        "user_id": 1638809,
        "full_name": "Brian Cripe",
        "title": "Founder/CTO",
        "founder_bio": "Brian Cripe is the co-founder and CTO of OneGrep, which he started with Achintya Ashok in 2023.  OneGrep saves engineers time by automatically generating insights that improve the usefulness of their Observability Data.  Brian brings over a decade of experience in the areas of developer-tools, distributed systems, and real-time analytics from companies such as 'Amazon', 'Tableau', and 'Coinbase'.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/briancripe",
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      {
        "id": 79014,
        "title": "OneGrep — Reduce Observability costs and resolve incidents faster",
        "tagline": "OneGrep makes observability efficient and actionable for fast-moving teams.",
        "body": "**TL;DR** — [OneGrep](https://www.onegrep.dev) is every engineer’s dedicated Observability Copilot. OneGrep helps engineers resolve incidents 10X faster and more efficiently. We do this by fine-tuning LLMs with real-time telemetry as well as knowledge bases that engineers use to operate their production systems.\n\nTeams can deploy OneGrep on their own infrastructure or use our cloud. If you are an engineer, we invite you to try us out! [onegrep.dev/try](http://onegrep.dev/try)\n\n# Problem\n\nEvery engineering team struggles with observability cost bloat and incident management when they are moving fast.\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/27337479-43ff-4af3-b1a9-33d826abd4ce)\n\n### Why Does This Happen?\n\n🔨 — Engineers find it hard to instrument code effectively and they make unintentional, costly mistakes.\n\n![](https://lh7-us.googleusercontent.com/g9TzD8RlqcCxPkwE7FDt9EuRHrZacWUc3fjAOJ1eHWblTPS1dqTzJ5sis9UQnzvZowvDTLBHUb-UU3PFE8rFuDxhvka5E_tolNjX50lmjnb3fs6QujAC9pdvaou9metU2ji-8Y1_kF2s5EVNmKcuGw)\n\n📲 — On-call engineers find mitigating incidents to be very difficult because it is hinged on tribal knowledge and tool know-how.\n\n* Engineers spend **25%** of their time on on-call-related work, which equates to companies spending \\~**$61,000** per engineer for on-call work  — _and that’s not including the DataDog bill._\n\n**TL;DR —** Engineers struggle to find answers using observability and pay a lot for unintentional mistakes.\n\n# ✅ Solution — Have your cake & eat it too\n\nEngineers can use OneGrep to make telemetry **actionable** and **efficient**.\n\nHere’s a **13-second** example of OneGrep cutting noisy logs **by 50%** and saving a team thousands of dollars:\n\n![uploaded image](/media/?type=post&id=79014&key=user_uploads/108240/6322e5bd-87f6-43aa-a402-3d35bf8bf167)\n\nAnd here is an example of OneGrep helping an engineer automatically resolve an incident — ✔️ gone are the days of reading through retros, parsing logs, or pinging the entire team:\n\n<https://youtu.be/QJKtHzgqC_4>\n\nCut costs & resolve incidents faster with OneGrep.\n\n——\n\n# Who We Are\n\nWe are [Achintya](https://www.linkedin.com/in/achintya-ashok/) & [Brian.](https://www.linkedin.com/in/briancripe/) We have applied telemetry best practices to highly distributed systems at Coinbase, DisneyPlus, AWS, Tableau, & Goldman Sachs. We hated our daily struggle with observability and we know how and why other engineers do too. We share the plight of all engineers who have struggled and continue to struggle with noisy alerts at 2 AM.\n\nSo, in the pursuit of helping engineers sleep more soundly knowing their systems are operational, we are on a mission to build the new way to do Observability.\n\n![](https://lh7-us.googleusercontent.com/DOphP_OzGeKanLDxit_2BMc3PtjCdDwIX-Vmf2UUAMjAx4S-Um0TqYn3n_e2ervRbp-PhBJ3ReDfR6IlJUbuGlH_O7BEtjjZDnVnvsaBe3eJgc0KxoLjvoBNRMvC5SnfwwTAi5ux1GUb7zzEEBN52w)\n\n_— Brian & Achintya inspecting the Y Combinator sign for any errant logs._\n\n## ➡️ Our Asks\n\n▶️ Do you have high DataDog bills? [Book a demo with us](https://cal.com/teamonegrep/demo).\n\n▶️ Do your engineers wish their on-call was better? [Learn how we can help](https://cal.com/teamonegrep/learn-in-30) or send us an email at [contactus@onegrep.dev](https://mailto:contactus@onegrep.dev).",
        "url": "https://www.ycombinator.com/launches/KYQ-onegrep-reduce-observability-costs-and-resolve-incidents-faster",
        "votes": 44,
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    "name": "Celest",
    "slug": "celest",
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    "website": "https://celest.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Celest is a backend-as-a-service for Flutter and Dart developers. It empowers Flutter developers with the tools and capabilities they need to become full-stack developers. We are introducing \"Cloud Widgets\", a set of primitives which enable you to declaratively define every piece of your backend and infrastructure in Dart.\r\n\r\nAs the role of the front-end developer evolves towards full-stack proficiency, we recognize that existing tools have fallen short for those specializing in Flutter. Using the programming language and patterns Flutter developers already know from building their frontend, Celest enables developers to build and connect their apps to their backend with no additional tooling.\r\n\r\nWe enable Flutter developers to concentrate on building features and delivering value to their customers rather than learning additional domains and fragmenting themselves across disparate toolchains.",
    "one_liner": "The Vercel of Flutter",
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    "industry": "B2B",
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    "launched_at": 1701978273,
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    "status": "Inactive",
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        "answer": "Dillon has been a member of the Flutter community since 2018 and worked at AWS on the Amplify Flutter product for two and a half years. At AWS, he created the first comprehensive Dart SDK, aimed at helping Flutter developers connect their apps to AWS. This SDK received positive reception within the Flutter community. However, he identified a persistent challenge: Flutter developers were still facing difficulties in crafting their backends, since it required them to spread themselves across different toolchains and programming languages. Recognizing this gap, Dillon left AWS with the idea of creating a dedicated platform for Flutter developers to unlock their ability to build every part of their apps in Dart. He submitted an application to Y Combinator only an hour before the deadline and was accepted into the Winter 2024 batch. Now, he’s able to realize the vision started at AWS: significantly improving the Flutter development landscape."
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Our vision is centered on expanding the capabilities and reach of Flutter and Dart developers. By providing a solution that facilitates backend development in Dart, we are enhancing and completing the story for the Flutter and Dart ecosystem by making Dart a comprehensive language for building full-stack applications. Dart's strong typing and sound design patterns make it an attractive alternative for those currently using JavaScript/TypeScript for web development. Ultimately, we aspire to make Flutter and Celest synonymous with app development in general, revolutionizing the way apps are built regardless of the platform or device types being targeted."
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        "body": "When I was at AWS building Amplify Flutter, I found myself wanting to write more and more of my code in Dart. I loved being able to maintain my flow state and use a single programming language—one I’d grown quite fond of—for everything. CLIs, tooling scripts, HTTP servers… if I needed a piece of code, I would find a way to write it in Dart.\n\nThe ecosystem for these use cases was immature but that just made it a challenge, which I loved. _Use the right tool for the job_, you may say. Nah… I want to use Dart. I thought I was alone in this quest but, I was okay being the crazy one.\n\nAnd then, to my surprise, our customers began asking\n\n“When can I write my Lambdas in Dart?”\n\n“When is AWS going to release an SDK for Dart so I can use it in my backends?”\n\nIt dawned on me that there was perhaps something deeper we were all experiencing, something more fundamental about coding being expressed.\n\nJavaScript is one of the most popular server-side languages in use today. A reasonable person with no knowledge of JavaScript may conclude from this that it’s because JavaScript is performant, efficient, or otherwise designed for the server.\n\nThe reality, though, is that developers will often seek the path of least resistance in an environment replete with friction. It’s easy to deride a choice in language, but it’s hard to downplay the numbers. Software engineers are human, after all—and humans are constantly optimizing their flows.\n\nFlutter was born from a desire to solve this age-old quest of optimization—first, as a way to build iOS and Android apps from the same codebase, saving teams the burden of managing two separate products. Then, to desktop and web applications, dramatically reducing the barrier to entry for these platforms too. The vision is largely realized. And, thanks to Dart, it’s been done without sacrificing performance.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/d2f6624a-21cf-4080-93ba-a61020b1070b)\n\nOur mission with [Celest](https://celest.dev/) is to fill in the last piece of this puzzle—the cloud. We do that, simply, by starting and ending with Dart.\n\nHere’s how you define a cloud function with Celest.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/78043071-9e1e-4349-907e-ffc1c1f08c3e)\n\nAnd here’s how you add authentication.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/8ca2deb1-8964-4b0b-b08b-734e58a02c6b)\n\nTo test it out, you run `celest start` and iterate on your backend locally as you build your Flutter app. Your functions hot reload as you save your changes, and integration comes free with an auto-generated client library.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/6222b983-d692-43f1-8f83-58c42a131053)\n\nAnd when you’re ready to turn this into a fully managed and auto-scaled backend, you run `celest deploy`. That’s it.\n\n![uploaded image](/media/?type=post&id=79354&key=user_uploads/251048/ad25a06e-a7c8-4fb9-b6d9-b591519c8b98)\n\nAs a Flutter developer, I’ve never left the Dart programming language, never thought about the many layers of abstraction beneath, and didn’t even need to leave my IDE to solve an otherwise laborious and flow-breaking task. I’m back to writing my app in less than 5 minutes. It feels like I’d never left.\n\n---\n\nCelest is the product I always wanted as a Flutter developer, the tool I had felt crazy for wanting at one point. It feels a little less crazy now, but only time will tell :-)\n\nYou can try and play with Celest for free today. Our cloud offering has started rolling out to the waitlist and will be publicly available in the coming weeks. For this and all the other goods in store, check us out @ [celest.dev](https://celest.dev?utm_source=ycombinator&utm_medium=blog&utm_campaign=launch_yc)\n\nAnd if this story rings true for you (or not), I’d love to hear your thoughts\n\n[dillon@celest.dev](mailto:dillon@celest.dev)\n\nTo the crazy ones 😎 🎯\n\nDillon, Chief Celestial",
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        "full_name": "Tyler Maran",
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        "title": "OmniAI transforms business data for AI | TechCrunch",
        "url": "https://techcrunch.com/2024/06/22/omniai-transforms-business-data-for-ai/",
        "date": "Jun 22, 2024"
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      {
        "id": 105024,
        "title": "🏦 Monumint: Voice AI for financial services",
        "tagline": "AI agents that communicate with customers across the entire financial journey",
        "body": "## TL;DR\n\nFinancial services has always been a relationship business.\n\n* In the U.S., people spend 10 billion minutes a year on the phone with their bank\n* Only 60% of customer interactions occur during business hours\n* Our customers use Monumint to increase operational capacity by 4x while delivering a 24/7 high-touch customer experience\n\nFrom opening a deposit account to financing a home or growing a business, trust is built through millions of conversations between financial institutions and their customers.\n\nAt Monumint, we're building conversational AI that helps financial institutions communicate with every customer on a more personal level. From account opening and lending to servicing and collections, our AI agents support the entire financial journey.\n\n<https://youtu.be/kRdb2afGcrA>\n\n## **❌** The problem\n\nFinancial services is one of the largest industries in the world.\n\nEach year in the US there are more than 80 million new consumer and small business loans. There are more than 4,500 banks, 4,500 credit unions, and thousands of mortgage lenders, consumer lenders, and fintechs, all aiming to build lasting relationships with their customers.\n\nDespite this, much of the industry still relies on manual customer operations. Teams spend countless hours following up with customers, chasing documents, answering the same questions, and updating multiple systems.\n\n## **✅** The solution\n\nMonumint is built around three pillars.\n\n**Conversational.** Customers communicate through voice, SMS, email, and built-in web chat.\n\n**Connected.** Our AI agents integrate with existing systems including CRMs, loan origination systems, core banking platforms, and servicing software to retrieve information and take action.\n\n**Compliant.** Every conversation is designed for the regulatory requirements of financial services, including TCPA, fair lending, audit trails, and built-in guardrails.\n\nMonumint makes it possible for financial institutions to build lasting customer relationships at a scale that was never possible before.\n\nToday, we are partnered with some of the largest lenders in the country and have handled more than 5 million customer interactions.\n\n## 🙏 Our ask\n\nWe're looking for intros to banks, credit unions, lenders, and fintechs that want to bring conversational AI into their customer experience.\n\nEmail us at [tyler@monumint.com](mailto:tyler@monumint.com) or [book a demo here](https://calendly.com/meet-tyler/30min).\n\nLet’s build something monumental!",
        "url": "https://www.ycombinator.com/launches/RJw-monumint-voice-ai-for-financial-services",
        "votes": 18,
        "created_at": "2026-07-09T14:41:23.451Z"
      },
      {
        "id": 78643,
        "title": "⚡️OmniAI - Structure your unstructured data",
        "tagline": "Transform unstructured data into beautiful SQL tables.",
        "body": "Hey everyone 👋 We’re Anna and Tyler from [OmniAI](https://getomni.ai/), and we help clean up data using AI.\n\n### **🪄 Omni in action: Turn YC demo day videos into data**\n\nHere we started with a database of all the public demo day videos and extracted some of the most interesting business metrics — without needing to watch hundreds of videos.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/b93d8e72-4fe5-4e43-b2a2-000512664002)\n\n# **Problem**\n\nA company’s most valuable data set is often its least accessible. Only 20% of corporate data lives in SQL, with the remaining 80% locked away in unstructured formats (reviews, chat logs, transcripts, pdfs). It takes some serious engineering work to answer questions like:\n\n* “Graph the most common user complaints over the last 4 years”\n* “What percentage of users complain about pricing on sales calls”\n* “How many users are getting their questions answered by our chatbot”\n\n**And this problem will only get worse as AI interfaces become more ubiquitous and more user data is locked up in chat logs. 🤖**\n\n.\n\n# **How are people solving this today?**\n\nEven YC founders don’t have a unified strategy here. From the hundreds of companies we’ve interviewed, it usually boils down to:\n\n**🌎 Outsourced data entry** - Slow and _surprisingly inaccurate_\n\n🔎 **Spot checking** - Slow and very prone to bias (i.e. _read 10 user reviews and make sweeping business decisions)_\n\n💸 **Hire some ML engineers** - Best results, but it’s going to be slow and expensive\n\n.\n\n# **Solution**\n\nUse OmniAI to turn that unstructured data into tabular data. OmniAI makes it simple to transform and enhance unstructured data, all within your existing data warehouse.\n\n* No engineering time needed\n* No calibrating models\n* And certainly no fighting with AWS SageMaker.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=78643&key=user_uploads/457262/3650ce0e-79d1-4405-9a63-8b0282947c88)\n\n# **How it works**\n\nRun ML models across your data. Categorize, extract, summarize, translate, and more.\n\n* **Connect to a data warehouse -** We support Snowflake, Postgres, MySQL, and MongoDB.\n* **Choose models to run -** Define type safe schemas to run against your unstructured data. Use any of the hosted models, or define your own.\n* **Transform your data -** We’ll run those models against your data, and keep your warehouse in sync as new rows/fields are added/deleted.\n* **Query with SQL -** All the transformed data stays in your warehouse. Surface this data in your product, or analyze with your existing BI tools.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/b2be4691-e98e-44cb-a76e-103b59d51b1e)\n\n# **Meet Tyler & Anna**\n\n[Anna](https://www.linkedin.com/in/annapoj/) comes from building ETLs and data enrichment tools at [**Hightouch**](https://bookface.ycombinator.com/company/12821). While [Tyler](https://linkedin.com/in/tyler-maran) has a background in ML and healthcare applications (most recently at [**Fair Square**](https://bookface.ycombinator.com/company/13215)). We’ve dealt with everything from syncing CRMs to fax machine APIs.\n\nWe’re building Omni because we hate working with messy data, and we can make this problem a little better for everyone.\n\n![uploaded image](/media/?type=post&id=78643&key=user_uploads/457262/25bd169d-bbe0-4c42-ac0b-fbfe55589067)\n\n# **Our ask**\n\n* **Data problems!** We’re constantly adding new tools and would love to hear about the unique data problems you face.\n* **Book a demo** with us at [getomni.ai](https://getomni.ai/)\n* **Tell people about Omni!** Know anyone drowning in a sea of PDFs, or trying to build image classification from scratch? Chances are we can help!\n\nEmail us at [**founders@getomni.ai**](mailto:founders@getomni.ai)",
        "url": "https://www.ycombinator.com/launches/KSR-omniai-structure-your-unstructured-data",
        "votes": 184,
        "created_at": "2024-02-22T16:14:42.416Z"
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    "long_description": "Central kills back-office work for startups. While HR/payroll platforms give you software to figure it out, Central actually does all the work using AI agents and human experts: payroll, benefits, compliance, accounting, taxes, and more. That's 10+ hours back every month. \r\n\r\nThousands of founders trust Central. Learn more and start for free at centralhq.com",
    "one_liner": "Payroll, benefits, state compliance & other bullsh*t for startups",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
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        "full_name": "Josh Wymer",
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        "founder_bio": "Josh is the CEO at Central. He was the 12th employee at Mixpanel, ran product engineering, and helped scale it to $1b+ valuation. He's also worked as a software engineer at Meta and played baseball at Virginia Tech.",
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        "full_name": "Pranav Kashyap",
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        "founder_bio": "Pranav is the COO at Central, helping other companies automate back-office work. He previously built payment and tax products for millions of users at Stripe, rebuilt Mixpanel's self-serve and messaging products and spent a number of years working with technology companies at McKinsey and Sequoia Capital. He holds a bachelor's degree in Computer Science from IIT Bombay and an MBA from Wharton. ",
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        "full_name": "Nilay Modi",
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        "founder_bio": "Product & design",
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        "title": "Central raises $8.6M from First Round Capital & YC",
        "url": "https://centralhq.com/first",
        "date": "Oct 16, 2025"
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    "launches": [
      {
        "id": 93937,
        "title": "Central – Accounting, Taxes & R&D Tax Credits + Payroll, Benefits & State Compliance",
        "tagline": "Your entire back-office in one platform. ",
        "body": "\\~70% of every company’s expenses are related to people.\n\nBut today’s HR/payroll and accounting systems are separate. This leads to lost context, and founders end up with more work by having to answer the same questions repeatedly.\n\n**Central now solves this by consolidating your entire back-office:** accounting, taxes, R&D tax credits plus payroll, benefits, and state compliance.\n\n200+ YC companies have already made the switch to using Central for everything, including Wordware, Bitesight, Offstream, 1849 Bio and Undermind.\n\n**Learn more and get started for free at [centralhq.com](http://centralhq.com)**\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/caf3dadd-ad64-468b-9f5a-1cb92df3ec60)\n\n---\n\n—\n\n# **Why Central for accounting, taxes & R&D credits:**\n\n1. **One platform for your entire back-office**\n   * Onboard once and never answer the same question again across vendors\n   * Accurate closed books every month\n   * Federal, state, and local franchise tax filings\n   * Unlimited 1099s for all contractors\n   * Complete R&D study & instant redemption to payroll\n   * Includes Central payroll, benefits, and state compliance\n2. **Talk to your financials in Slack**\n   * Query your burn, runway, revenue, etc.\n   * Find docs like P&L, balance sheet, etc\n   * Get answers to common financial questions\n3. **Bookkeeping built for fundraising**\n   * Better categorization with more company context\n   * Proper revenue recognition & asset depreciation\n   * Financial summary every month to share with investors\n   * Get custom diligence docs & reports fast\n4. **Dedicated startup CPA in Slack**\n   * One point of contact who understands your business\n   * Message them anytime in Slack\n   * Catch mistakes before they happen.\n5. **White-glove migration / set up in 15 mins**\n   * Run on QuickBooks or Puzzle (you own your account)\n   * Just add us as an admin\n   * Historical review and clean up\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/126c04e8-f424-4519-84f7-fe3a3ffd8c76)\n\n—\n\n# **Comes with payroll, health insurance and state compliance:**\n\nMore info here - [centralhq.com](http://centralhq.com)\n\n1. **Payroll**\n   * Pay US employees\n   * Pay global contractors in 200+ countries\n   * Unlimited pay runs, one-off payments, reimbursements, etc.\n2. **Compliance in 50 US states**\n   * State foreign qualifications and registered agent (required to do business)\n   * State payroll registrations (required to run payroll)\n   * Workers' compensation insurance (required when you have 1 employee)\n   * Government mail handling and past fine resolution\n3. **Benefits**\n   * Access to a licensed health insurance broker\n   * Medical, dental, vision, life, disability insurance\n   * Guidance to pick the right plans & save money\n   * 401(k)\n4. **HR & team management**\n   * Offer letters, CIIAA, and other docs\n   * I-9 employment verification\n   * Onboarding, off-boarding, severance, etc\n5. **Central AI Agent in Slack**\n   * Find and edit anything like salaries or addresses\n   * Start workflows like hiring or firing\n   * Retrieve docs like paystubs or certificate of incorporation\n6. **24/7 human support & experts (Slack & email)**\n7. **White-glove migration & setup (takes 15 mins)**\n\n![uploaded image](/media/?type=post&id=93937&key=user_uploads/206328/23007f01-fa46-4733-b62f-e40644eb38cf)\n\n—\n\n# **Get started for free - [centralhq.com](http://centralhq.com)**\n\n* **First 50 companies (limited offer)** - Free payroll, benefits, state compliance (free period based on team size, needs and batch). Add-on accounting, taxes & R&D credits ([see pricing](https://centralhq.com/pricing))\n* **YC F25 -** Everything above + free accounting (ends when you raise post-YC or after 6 months)\n* One quick call to see demo & setup everything. Migrating? We do all the work.\n* No annual contracts. Cancel anytime.",
        "url": "https://www.ycombinator.com/launches/OR7-central-accounting-taxes-r-d-tax-credits-payroll-benefits-state-compliance",
        "votes": 26,
        "created_at": "2025-09-18T19:49:49.798Z"
      },
      {
        "id": 81853,
        "title": "Central: Payroll + benefits for startups. Save weeks of work & fines.",
        "tagline": "The first back-office platform that automates all the painful compliance work.",
        "body": "# **📝 TL;DR:**\n\n* [Central](https://www.centralhq.com/?utm_source=launchyc) is the first payroll & benefits platform for startups that automates all the painful compliance work – saving you weeks of work and fines.\n* **Start for free -** [**www.centralhq.com**](https://www.centralhq.com/?utm_source=launchyc)\n  * _10 mins to setup + we’ll do all the migration work._\n\n# ——\n\nFounders are drowning in back-office work. Even with the current recommended platforms, payroll, benefits, compliance was a never-ending pain in the…\n\nWhy do founders still need to understand all this?\n\nWhy do founders still have to register in multiple states to run payroll, set up worker’s compensation, pay random payroll related taxes, deal with scary government mail, update addresses across state filings, troubleshoot with insurance companies?\n\nA tragedy…\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/d5e37454-5cab-44bb-8571-603fab041299)\n\n# ——\n\n# **👋 HELLO CENTRAL: Save weeks of work & avoid fines.**\n\nCentral is the first payroll, benefits & ops platform designed for busy founders, not HR/finance professionals.\n\nUnlike other platforms, Central handles each compliance task from start to finish. You don’t need to learn or do anything. You just keep building because that’s what truly matters.\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/953f0471-3542-449f-adf7-4b7770223603)\n\nSo, here’s everything you get:\n\n**Payroll & compliance**\n\n1. **Hire and pay anyone globally:** Central supports founders & employees in all 50 U.S. states and contractors in 200+ countries. We’ll handle reimbursements, offer letters, NDAs, I-9 verification, and more.\n2. **Automated payroll state registrations:** Existing platforms make founders interface with state agencies, leading to errors & fines. Central automates this entire process resulting in accurate tax IDs and withholding rates.\n3. **Automated payroll tax filings:** Existing platforms cover some taxes, and leave founders to handle the rest, leading to mistakes and fines. Central pays all taxes and verifies payments with federal, state, and local agencies.\n4. **Automated worker’s comp:** When you hire your first employee in a state, you need state-specific worker’s compensation insurance. Existing platforms make you go to other platforms to get a policy, leading to missed coverage and fines. Instead, Central sets it up and ensures payment automatically.\n5. **Government mail monitoring**: Founders often miss important government mail due to address changes. To combat this, Central adds a virtual mailing address to all of your state filings. This virtual address stays the same when you move, so Central can notify you about government mail and take the appropriate action.\n\n**Business compliance & insurance**\n\n1. **Foreign qualifications & city registrations:** Central handles the necessary business filings & the registered agent in your HQ city/state and other states when required.\n2. **Continuous BOI reporting to FinCEN:** The Corporate Transparency Act requires companies to submit beneficial ownership information (BOI) reports to FinCEN. Central files this for you and keeps it updated as officers and their information change.\n3. **Business insurance:** Central can set up insurance for general liability, directors and officers, cyber, errors and omissions, and more.\n\n**Benefits**\n\n1. **Medical, dental & vision insurance:** Central offers plans from top carriers for small groups and individuals. We automate setup and payments, making it easy for you. Pranav (co-founder at Central) is a licensed broker and expert and can guide you to avoid common mistakes.\n2. **Life insurance:** Integrated with payroll for pre-tax deductions.\n3. **401k:** Central partners with Guideline to provide easy payroll integration and pre-tax deductions.\n\nAnd, support via a shared Slack channel, phone & email.\n\n# ——\n\n## **🏎️ GET STUFF DONE INSTANTLY VIA SLACK**\n\nExisting platforms are a maze. You need to dig through 7 layers of UI with a shovel to get anything done.\n\nWith Central, you simply ask our bot, and it handles it for you (with your confirmation).\n\nIt’s like your company’s first head of HR/finance.\n\nOur customers love the ease of:\n\n* **Retrieving company info & docs:** Get company EIN, certificate of incorporation, W-9, etc.\n* **Updating employee info:** Adjust salaries, start dates, titles, etc.\n* **Accessing personal docs:** Find offer letters, paystubs, health insurance cards, W-2s etc.\n* **Tracking offers & payroll:** See when employees sign, onboard, and get paid.\n* **Understanding their paystubs:** Break down taxes, pay dates, and more.\n\n# ——\n\n# **🎁 START FOR FREE -** [www.centralhq.com](https://www.centralhq.com/?utm_source=launchyc)\n\n_10 mins to setup + we’ll do all the migration work_\n\n![uploaded image](/media/?type=post&id=81853&key=user_uploads/206328/66b08b5c-d351-471e-8ddf-f16a0403be18)\n\n",
        "url": "https://www.ycombinator.com/launches/LID-central-payroll-benefits-for-startups-save-weeks-of-work-fines",
        "votes": 135,
        "created_at": "2024-07-01T19:57:33.995Z"
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    "id": 29330,
    "name": "Speck",
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    "website": "https://speck.sh",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Speck helps professionals in back-to-back calls on their meeting tasks. It automates pre-call research, listens to every word, learns, and creates meeting notes, follow-ups, action items based on how you do them. ",
    "one_liner": "AI Notetaker that automates all your admin work",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1705004448,
    "tags": [
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      "Sales",
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      "AI"
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Raghav Pillai",
        "title": "Founder/CTO",
        "founder_bio": "Previously engineering @ Anduril and Amazon. Built out telemetry, realtime video and software orchestration for Anduril, and worked on consumer robotics at Amazon. Worked on software for autonomous vehicle research. Hackathon addict, 11x winner (HackHarvard, HackRice, xAI, etc). \n\nhttps://raghav.sh/\nhttps://github.com/raghavpillai",
        "is_active": true,
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      {
        "id": 79389,
        "title": "🧩 Speck - AI-powered web automation",
        "tagline": "Automate repetitive web tasks like data extraction, outbound, and other chores with Speck’s AI browser extension.",
        "body": "**tl;dr:** [Speck](https://tryspeck.com) is a browser extension that makes automating repetitive web tasks easy. Our customers use Speck to extract data, perform LinkedIn outreach, collect the newest research papers, gather data about social media groups, and more!\n\nHey everyone! We’re Lucas and Raghav, the founding team behind Speck.\n\n## 🤔 The Problem\n\nPeople spend precious time doing menial and repetitive browser-based tasks, such as entering data into CRMs, posting multiple job listings for recruiting, reaching out to contacts on LinkedIn, extracting data from websites, and other similar chores.\n\nThese tasks are irritating for most knowledge workers, yet they do not have any way to simplify their workflow. Low-code solutions like UiPath cost tens of thousands of dollars and require a dedicated automations team. On the other hand, executing web-based workflows is outside of the scope of workflow tools like Zapier. \n\n## 💡 The Solution\n\nWith Speck, you can automate any workflow easily **without having any coding knowledge**. Our browser extension allows you to **record workflows just by doing them**. Speck automatically translates your workflows into repeatable steps, making it simple for anyone to create web-based automations and data extraction processes\n\nBy keeping track of intent, the **browser automations will repair themselves automatically** when something goes wrong! These workflows can be executed live or scheduled asynchronously on a remote browser. Now, our users can spend less time doing menial chores and more time focusing on higher-impact tasks. \n\nSince pivoting 2 weeks ago and launching our beta, we’ve gotten our extension published on the Chrome Web Store and onboarded our first paying customers.\n\nMaking an automation takes less than 60 seconds.\n\n**Step 1** - Record your workflow\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/94fd9ad1-319a-4bc7-a0a7-6bb294fa7e60)\n\n**Step 2** - Extract Text\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/47e0ad7b-7e38-4df6-9be1-7ae58a6fbf85)\n\n**Step 3** - Run\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/1560a1cc-c750-4884-bc8f-07d9391ea920)\n\nAnd this is just the start! Together with our users, we’re making progress towards our vision of an autonomous LLM agent capable of generating complex automations - one workflow at a time.\n\n## 🏆 The Team\n\nWe’re both CS from UT Dallas. We met at a hackathon 2 years ago and have been friends since. We both come from top tech companies and came up with the idea for Speck after we grew tired of doing the same actions over and over again on websites. From left to right:\n\n![uploaded image](/media/?type=post&id=79389&key=user_uploads/1500358/29d31103-7b62-45d9-88da-53a98b3a3fde)\n\n[Raghav](https://www.linkedin.com/in/raghav-pillai/) (CTO) - Ex-Anduril and Ex-Amazon engineer. At Anduril, he created LLM tooling and device monitoring, used by 140 employees. He was an early engineer on Amazon’s Consumer Robotics division, working on Amazon Astro. He worked in AV research building a modular FSD stack. He also loves going to hackathons and won 7, including HackHarvard and HackRice, with LLM agents.\n\n[Lucas](https://www.linkedin.com/in/lucasjagg/) (CEO) - Ex-Roblox engineer where he built multilingual autocomplete for 160 million users. He was a founding engineer of [Sweep](https://www.ycombinator.com/companies/sweep), an autonomous LLM coding agent with 7k stars. Computer vision researcher for the BRIAR government project. He graduated Summa Cum Laude with a double major in computer science and cognitive science.",
        "url": "https://www.ycombinator.com/launches/KeT-speck-ai-powered-web-automation",
        "votes": 157,
        "created_at": "2024-03-14T13:54:34.463Z"
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    "name": "Polished",
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    "website": "https://polished.ad",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "With Polished, you create finished ads (video or static) in minutes.\r\nThen you refine it in plain English, until it's exactly what you had in mind.",
    "one_liner": "Generate ads. Iterate till perfect.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1701750687,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/polished",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/polished.json",
    "year_founded": 2025,
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        "user_id": 1289064,
        "full_name": "JJ Maxwell",
        "title": "Founder",
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        "full_name": "Mark Wai",
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      {
        "title": "Direct indexing platform Double Finance raises $3.9M seed",
        "url": "https://www.axios.com/pro/fintech-deals/2024/12/10/direct-indexing-platform-double-finance-raises-seed",
        "date": "Dec 10, 2024"
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        "id": 97986,
        "title": "Pillar - Your app's copilot",
        "tagline": "An open source copilot that turns user requests into completed actions, right inside your app.",
        "body": "Hey everyone! We’re JJ and Mark, cofounders of [Pillar](https://trypillar.com) 👋\n\n**TL;DR: Pillar is an embedded AI copilot that executes tasks inside your product for users and agents.**\n\nUsers or agents can type what they want. The copilot carries it out **client-side in the browser**, using the user’s existing session, permissions, and security checks. You install the SDK via npm and register your existing frontend code as tools.\n\nExample: in a banking app, a user types _“send $200 to my cleaners.”_ Pillar finds the right recipient, navigates to the transfer flow, and pre-fills the form. The user still reviews and confirms. If your app requires 2FA for that acion, so does the copilot.\n\nDemo: <https://www.youtube.com/watch?v=ruNJ5OFuKsI>\n\n# The Problem\n\nTeams ship faster than ever. But when your changelog is 10x longer than it used to be, users can’t keep up.\n\n* **Discoverability breaks down:** the UI changes, features move, and people forget where things live.\n* **Friction turns into “support”:** users open tickets that aren’t really support tickets. The user wanted to do something your product already supported but couldn’t get there.\n* **Most products don’t have an “action layer”:** AI agents are starting to use web apps the same way users do: navigate, click, fill forms. Products need to prepare for this\n\n**Bottom line:** products need a reliable, permissioned way to execute actions end-to-end - not just document them.\n\n# How Pillar Works\n\nPillar turns a user request into action by combining planning with **in-browser execution**.\n\n1. **Plan:** Pillar determines which steps/tools to run\n2. **Execute:** your app runs those tools in the browser (navigation, API calls, state updates, form fills)\n3. **Confirm:** the user stays in control for sensitive actions.\n\nYou register tools inside your existing React components:\n\n![uploaded image](/media/?type=post&id=97986&key=user_uploads/376672/a918639c-e2a9-405b-9e4d-2f54acac8af0)\n\nWhat happens at runtime when a user types _“send $200 to my cleaners”_:\n\n* Pillar calls **search_recipients** with “cleaners”\n* Selects the right match\n* Calls **prefill_transfer** with the recipient + amount\n* User reviews and confirms in the existing flow\n\nBecause execution happens in the browser, tools run with the current user’s permissions and session. **Pillar can’t do anything the user can’t do.**\n\nPillar syncs with your help content (Zendesk, Intercom, Notion, Confluence, internal docs) so requests map to the right tools/flows. When it picks the wrong path, you flag it and the correction is captured so the same issue is less likely to repeat.\n\nSDKs are available for React and vanilla JavaScript. Registered tools can also be reused by other copilots/agents via WebMCP (navigator.modelContext).\n\n# Try It\n\nInstall: [trypillar.com](http://trypillar.com)\n\nWe also have live demos you can try right now - Pillar installed on open-source products:\n\n* Grafana ([trypillar.com/demos/grafana](https://trypillar.com/demos/grafana)): you can have Pillar build you a monitoring dashboard and set up alerts\n* Apache Superset ([trypillar.com/demos/superset](https://trypillar.com/demos/superset)): you can explore the names dataset and build a dashboard\n\n👉 Want help getting live? Reach out at [founders@trypillar.com](https://mailto:founders@trypillar.com)\n\n# Our Ask\n\n* If you lead product/engineering and users open tickets for things your product already does, we’d love to talk: [founders@trypillar.com](mailto:founders@trypillar.com)\n* If you know someone who fits that (founders, VP Product, Head of Support), intros are appreciated\n* Share this post. Follow us on LinkedIn and X.\n\n# Backstory\n\nWe built Pillar to solve our own problem. At our last company (Double Finance), we saw a pattern: users asked for outcomes we already supported, but still opened support tickets. We wanted a way to reuse the frontend code we’d already shipped, without rebuilding flows or adding new “automation” surfaces.\n\n_Pillar is what we wish we had._\n\n![uploaded image](/media/?type=post&id=97986&key=user_uploads/376672/597895ee-5fab-49bb-b55e-cabb1f3f6ff2)\n\n",
        "url": "https://www.ycombinator.com/launches/PUQ-pillar-your-app-s-copilot",
        "votes": 11,
        "created_at": "2026-02-19T20:32:35.986Z"
      },
      {
        "id": 82801,
        "title": "Double - Design your own stock index",
        "tagline": "Double automates your investments with zero AUM fees.",
        "body": "![uploaded image](/media/?type=post&id=82801&key=user_uploads/1289064/c2a6166e-82a3-419a-9800-0648a58901ea)\n\n**TL; DR** — Design and invest in your own stock index that’s advised, managed, and tax-optimized by [Double](https://double.finance/).\n\nHistorically, access to sophisticated finance tools like direct indexing and tax loss harvesting has come at a steep cost and only through exclusive financial advisors. We are on a mission to revolutionize investing by providing world-class portfolio tools to everyday investors without any AUM fees. \n\n# Key Features\n\n* **Direct Index into 20+ ETFs:** Build an elite portfolio with the ability to tilt towards specific sectors, industries, themes, or even custom groupings like all YC publicly listed companies.\n* **Daily Tax Optimization, Rebalancing & Potential Tax Loss Harvesting**: Our optimization engine keeps your portfolio on track by factoring in drift, taxes and transaction costs. If your account qualifies, our tax-loss harvesting service aims to help you minimize your tax liability and maximize your after-tax returns.\n* **Dollar-cost averaging:** We allow users to move between positions at a set cadence, regardless of the market's performance, helping you reduce timing risks associated with active trading.\n\n# Example Use Cases\n\nWork for AAPL and want to diversify away from tech?\n\n* Buy a direct-indexed [S&P 500 Portfolio](https://app.double.finance/public/explore/3), remove AAPL entirely, and cut the rest of your tech exposure in half.\n\nDid you know AI was going to be a big deal before everyone else?\n\n* Double makes it easy to tilt your portfolio towards your hunches. Pick a handful of stocks set to benefit from the Inflation Reduction Act, or some that target the booming AI and semiconductor industry, or shift your portfolio towards the explosive meme growth of Zyn.\n\nFeeling confident in the overall market and ready to pile on the risk?\n\n* Follow [Hedgefundie’s Adventure](https://app.double.finance/explore/110), which uses 3x leverage in a Stock and Bond ETF to try and increase returns. Or pick from our smart screens that target top growing companies or even a basket of the [YC Public Companies](https://app.double.finance/public/explore/140).\n\nThink we’re headed for a recession and want to take some chips off the table? \n\n* You can invest in a version of [Ray Dalio’s All Weather Portfolio](https://app.double.finance/public/explore/108) comprising 5 ETFs or [John Bogles Majesty of Simplicity](https://app.double.finance/public/explore/105) and migrate between these Strategies and Bonds over time.\n\nBuild and backtest your own stock index!\n\n* Use our Stock and ETF Screeners to build your very own personalized portfolio.\n\n#### Fees\n\nDouble doesn’t charge AUM fees. Financial Advisors often charge around 1% a year for tools like Direct Indexing and Dollar Cost Averaging. In a sample $1M portfolio, these fees lead to a dollar cost of $1,800,000 or a 24.5% overall reduction in performance over 30 years, assuming 6% growth vs. 7% growth. We aim to eventually make money like the commission-free trading pioneers. Our custodian Apex Clearing charges some fees which we pass on to users which you can see [here](https://help.double.finance/en/articles/9450171-service-provider-fees). \n\n#### Additional Features\n\n* Backtest a custom stock grouping to see its historic performance.\n* Cash sweep available: Earn 4.5% interest on your uninvested cash (as of August 5th, 2024, not a guarantee of future rates)\n* Fractional investing: Invest in over 3,000 US stocks and 1,400 ETFs for as little as $5 per share.\n* Support for Personal, Joint, and Trust Accounts\n* Daily portfolio optimization and trade execution\n* Recurring or one-time deposits via ACH or Wire\n* ACAT Transfer in an existing brokerage account\n\n#### Get Started Today\n\nWe’re live at <https://double.finance>. Sign up for a Double account today and start building your own stock index. Please reach out to [founders@double.finance](mailto:founders@double.finance) with any feedback or questions!\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctLsEGUWaE1ScP7EqAuz0sPPYQDg7Vt1Zlpn5Cx-sfubv0nJvIZertGsNS0zPWoWzzJSw-orkpmSTzIFepxiDziCKdJN6sMXMAS1GSYwcTfiyY3ZqlIA_db-gZX4rHTji2-dZPfMWgdz-qmvb7whdOackQ?key=nGDLEdHNSqYCi809_9DeNQ)\n\n",
        "url": "https://www.ycombinator.com/launches/LXV-double-design-your-own-stock-index",
        "votes": 58,
        "created_at": "2024-08-07T00:27:48.572Z"
      }
    ]
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    "id": 29334,
    "name": "Decipher AI",
    "slug": "decipher-ai",
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    "website": "https://getdecipher.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Decipher AI generates your E2E tests, maintains them as you ship, and catches issues before customers do. Plus, get alerted when users hit live bugs.\r\n\r\nUsed by the fastest shipping companies including Bilt, Arize, and Vial.",
    "one_liner": "QA agents that write tests 10x faster with zero maintenance",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1708738486,
    "tags": [
      "Developer Tools",
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      "Enterprise Software",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Engineering, Product and Design"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/decipher-ai",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/decipher-ai/",
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    "founders": [
      {
        "user_id": 1073351,
        "full_name": "Michael Rosenfield",
        "title": "Founder/CEO",
        "founder_bio": "Michael was most recently a Sr. Product Manager where he led the development of the first native ads format on Google Maps, drove Google Search Ads optimization with $XB revenue growth, and was product lead for Pixel premium tier product line. He started his career at Google as an APM.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rosenfieldmichael",
        "x_url": "https://twitter.com/_mrosenfield",
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      {
        "user_id": 1080757,
        "full_name": "Rohan Das",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Decipher AI. Previously a staff engineer and manager at Google on the YouTube Homepage, leading the team that rebuilt the Homepage service from scratch to handle billions of requests per day. Passionate about robust yet practical engineering, AI, and elegant design.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rohan-d",
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      {
        "id": 97250,
        "title": "Decipher AI: Agentic QA for the era of coding agents",
        "tagline": "AI that generates and maintains your E2E tests. Ship fast, without the bugs.",
        "body": "# **TL;DR**\n\nDecipher offers an AI QA agent for the era of coding agents. Show it your product, and the QA agent generates E2E tests in minutes, maintains them, and catches bugs before customers do so you can keep shipping fast. We’ve already caught bugs for some of the fastest shipping companies and would love to help you!\n\n# **Product Overview**\n\n<https://www.youtube.com/watch?v=PAmx7HbnXc8>\n\n# **Who's Decipher AI for?**\n\n* Teams where AI coding agents have made development faster than ever, but QA hasn't kept up. You're shipping more code, but bugs are still slipping through to customers.\n* Large QA teams spending hours writing Playwright scripts, manually updating selectors, and chasing flaky tests. You want comprehensive test coverage without the overhead.\n* Teams without dedicated QA resources, who click through the product every morning hoping to catch issues. You need reliable coverage but don't have time to build it from scratch.\n\n# **What can I do with Decipher AI?**\n\n### **Generate reliable E2E tests in minutes**\n\nRecord your screen, describe a flow, or just ask. Because Decipher has learned your product, it can generate tests, update them, and create variants on demand. A QA agent at your fingertips.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/4e2df1fd-25e1-4b9f-95ad-20ec408ae027)\n\n### **Tests auto-update as your product changes**\n\nWhen your product or UI changes, the Decipher agent automatically updates your tests. Steps adapt automatically so tests stay reliable and meaningful without manual work.\n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/a942e76c-df6b-4630-be1a-1457f1d42760)\n\n### **Get alerted when users hit bugs in production**\n\nSome bugs only happen in the real world. Decipher uses vision AI to watch your customer sessions, and when a user hits a bug, flags it with the session replay, console/network context, and customer impact. \n\n![uploaded image](/media/?type=post&id=97250&key=user_uploads/1073351/f83feabc-ae8f-4b72-8535-4c07407776ec)\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products including the YouTube homepage and Pixel. They built Decipher AI so teams using coding agents have a validation layer that keeps up with how fast they're shipping.\n\n# **Our asks**\n\nDecipher is already catching bugs for some of the fastest shipping teams out there! If you're using coding agents to ship faster and need QA that keeps up, we'd love to help. Reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://getdecipher.com).",
        "url": "https://www.ycombinator.com/launches/PIY-decipher-ai-agentic-qa-for-the-era-of-coding-agents",
        "votes": 13,
        "created_at": "2026-01-28T15:58:48.478Z"
      },
      {
        "id": 92528,
        "title": "Decipher: AI that discovers issues and opportunities in your product",
        "tagline": "Decipher’s AI agents watch all your user sessions – helping you identify and act on product issues and insights.",
        "body": "Hey YC! Michael and Rohan here!\n\n**TL;DR:** Decipher offers real‑time agents that use vision language models to watch every customer sessions to detect, diagnose, and even help ship the fix for anything that blocks user happiness—from silent drop‑offs to full‑blown errors.\n\nSign Up For Free » [getdecipher.com](http://getdecipher.com)\n\nBook A Call » [cal.com/decipher/discovery](http://cal.com/decipher/discovery)\\\n[Video overview](https://www.youtube.com/watch?v=f9LIZie4ogY)\n\n---\n\n## **Why we built Decipher**\n\nShipping speed is up, but visibility into _real_ user experience hasn’t kept pace. Teams still burn days—and sometimes miss problems entirely:\n\n* Users hitting confusing UI and running into bugs in core workflows\n* Figuring out what exactly people are doing that lead to app errors and how many people are affected\n* Scrubbing thousands of sessions to learn why an important new feature isn’t used\n\nThe root cause is signal overload—billions of events, little prioritization. We flipped that on its head: let AI watch the firehose, surface what truly matters to adoption, satisfaction and revenue, and automate the busywork after discovery.\n\n---\n\n## **How it works**\n\n* **Discover:** Real‑time monitoring catches hiccups, drop‑offs, errors—or any custom condition you set, no redeploy needed.\n* **Investigate:** Ask in plain English and get AI summaries, session clips, and console logs instantly.\n* **Act:** One‑click Linear ticket or PR draft with all the context so fixes land before metrics suffer.\n\nA feedback loop on every action continuously teaches the model, dialing down noise while accuracy climbs.\n\n> Decipher’s basically 1,000 QA interns watching every user session in real‑time and obsessing over improving the user experience. **In the first four weeks it surfaced over one hundred issues and UX improvements.** Now the team ships features instead of binge‑watching session replays.\n\n— Keith Fearon, Head of Product & Growth, 11x\n\n**Issue Explorer**\n\nBrowse the issues Decipher detects and filter by feature, account, impact, time range, and more. Export straight to Linear.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/0dadbdcb-7375-4565-8898-e6fd2c4e83ae)\n\n**Session Deep Research**\n\nAsk the Decipher agent any question about customers and get detailed responses citing real sessions.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/202e6275-5278-4465-8250-445a30580acb)\n\n**Issue Alerts**\n\nRoute alerts to your favorite tool, like Slack or email, with AI noise-reduction so teams never miss the signal.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/fe19231d-6d8c-44d9-8f33-338b21eb14e2)\n\n**Smart Funnels**\n\nGenerate funnels based on any user behavior and Decipher will analyze drop-offs to help you understand the root cause.\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/99b7c7c8-7690-4249-ac84-81708c296902)\n\n## **Where it fits in your stack**\n\n* **Setup:** Drop‑in SDK or web snippet; optional connectors for PostHog, Sentry, Segment.\n* **Workflows:** Creates Linear tickets for you. Pings you on Slack and email. And one click copy context to Cursor.\n* **Platforms:** Web today; iOS & Android are on our roadmap.\n* **Security:** Data encrypted in transit & at rest and client‑side PII masking.\n\nIntegration is &lt; 5 minutes. First insights usually appear within the hour.\n\nCompanies of all sizes from small startups to unicorns already rely on Decipher to keep launches smooth and adoption climbing. Their teams ship faster, users stay delighted, and engineering effort goes back to roadmap features instead of reading logs and trying to repro issues.\n\nGet started today, no credit card required at [getdecipher.com](http://getdecipher.com) or schedule a call with our team: [cal.com/decipher/discovery](https://cal.com/decipher/discovery)\n\n![uploaded image](/media/?type=post&id=92528&key=user_uploads/1073351/911f3dcb-c76f-4ef2-ab29-43e7a45790d4)\n\n",
        "url": "https://www.ycombinator.com/launches/O4O-decipher-ai-that-discovers-issues-and-opportunities-in-your-product",
        "votes": 23,
        "created_at": "2025-07-28T21:00:11.052Z"
      },
      {
        "id": 86416,
        "title": "Decipher AI: An AI agent that watches thousands of session replays for you",
        "tagline": "AI that analyze your session replays with vision LMs to help you understand user behavior, detect bugs and discover insights",
        "body": "# **TL;DR**\n\nDecipher AI offers an AI agent that uses advanced vision LMs to watch thousands of hours of session replays for you so you can discover customer issues in realtime, understand feature usage, and get product questions answered. We’ve already analyzed millions of session replays and would love to help you!\n\n# **Product Demo**\n\n<https://www.youtube.com/watch?v=nc0wVezrmcU>\n\n# **Who’s Decipher AI for?**\n\n* Teams tired of sifting through Posthog, FullStory, or Hotjar recordings, hoping to stumble on key insights or looking for something specific. Decipher AI analyzes them all so you can focus on your job.\n* Teams that wish they had a high resolution and a bird’s-eye view of how users actually interact with their product—without manual tagging, proactive instrumentation, or complex data queries.\n* Teams tired of reactive firefighting. Get alerted the moment users start running into new issues or bugs so you can jump straight to shipping a fix.\n\n# **What can I do with Decipher AI?**\n\nDecipher AI empowers you to uncover how your customers engage with your product and gain insights into its behavior for each unique user.\n\n### Session Intelligence\n\nStop scrubbing through hours of video. Get succinct, AI-generated timelines of each session, highlighting the most important parts.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/e72fd09d-008b-4491-9d4d-e0003d90d7f3)\n\n### Behavior Discovery\n\nFind out how customers use specific features or workflows in seconds, uncover patterns you never knew existed, and jump straight to relevant moments in sessions.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/590d9aa7-f42d-4f67-97d7-2d7b348c3039)\n\n### Hands-free Product Analytics\n\nGet product analytics without any manual instrumentation or CSS definitions. \n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/f590e6f8-eaf9-40ac-a02a-dacb3feb67c7)\n\n### Issue Detection\n\nIdentify exactly when and where users hit bugs and issues. Prioritize new issues and know precisely if a deployed fix worked.\n\n![uploaded image](/media/?type=post&id=86416&key=user_uploads/1073351/25b0f561-b12c-4a97-a5ab-71508b62789b)\n\n### Simple, 5-Minute Setup\n\nJust copy and paste a single script. That’s it. No manual instrumentation, no labor-intensive tagging, and no complicated SQL queries.\n\n# **Meet The Founders**\n\nFounders [Rohan Das](https://www.linkedin.com/in/rohan-d/) and [Michael Rosenfield](https://www.linkedin.com/in/rosenfieldmichael/) bring deep expertise from Google, having led multi-billion-dollar, multi-billion-user products at Google including the YouTube homepage and Pixel. They created Decipher AI to make understanding user and product behavior effortless for everyone.\n\n# **Our asks**\n\nDecipher AI has already analyzed millions of session replays for companies of all sizes! If you’re interested in having our AI agent watch all of your session replays so you can understand customer behavior, find issues, and improve product please reach out to [founders@getdecipher.com](mailto:founders@getdecipher.com) or [book a demo here](https://cal.com/decipher/demo).",
        "url": "https://www.ycombinator.com/launches/MTo-decipher-ai-an-ai-agent-that-watches-thousands-of-session-replays-for-you",
        "votes": 40,
        "created_at": "2024-12-19T16:39:32.588Z"
      }
    ]
  },
  {
    "id": 29335,
    "name": "Toolify",
    "slug": "toolify",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dda140ccf9838edcec96e76d3655e00315a0b4a7.png",
    "website": "https://toolify.sh",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Toolify is dev-first internal tooling. At some point, companies using low-code builders hit a brick wall, and are bogged down by their limitations rather quickly.\r\n\r\nWe offer:\r\n- A starter kit with sensible defaults,\r\n- A VSCode extension which has AI that creates the internal tool for you, end to end, and,\r\n- A web app where you can deploy your tools.\r\n\r\nThis gives you the best of both worlds -- everything you need to build tools just as fast as low-code, and an escape hatch when you need it.",
    "one_liner": "Build internal tools with AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1706123140,
    "tags": [
      "Developer Tools",
      "B2B",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
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    "regions": [
      "India",
      "South Asia"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/toolify",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/toolify.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/trytoolify",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 962401,
        "full_name": "Rohan Mayya",
        "title": "Founder",
        "founder_bio": "Currently I'm a co-founder at Aeos Games, building an ambitious Action RPG from India for the world.\n\nPreviously, I founded Toolify (w24), and before that, built apps and tools that got 1m sign ups.",
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        "linkedin_url": "https://linkedin.com/in/rohan-mayya-a9b341173",
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        "user_id": 1570652,
        "full_name": "Saifur Rahman",
        "title": "Founder",
        "founder_bio": "Co-founder of Toolify, a framework for building internal tools, and former engineer at Endurance International Group, working on domain name registration systems.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/saif-ur-rahman",
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    "id": 29340,
    "name": "Tamarind Bio",
    "slug": "tamarind-bio",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/201884765e11baf051338d72f6f2e7ead2bb1fa1.png",
    "website": "https://www.tamarind.bio",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tamarind Bio is a website and API which allows scientists to use computational biology tools at scale using a simple interface. On Tamarind, scientists can use ML models like AlphaFold to design and simulate molecules by simply selecting inputs instead of or setting up a high performance computing environment or dealing with DevOps.\r\n\r\n\r\nTamarind is used by tens of thousands researchers in large pharma companies, top biotechs, and academic institutions.",
    "one_liner": "AI Inference Platform for Drug Discovery",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1702859345,
    "tags": [
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      "B2B",
      "Biotech",
      "AI"
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    "isHiring": true,
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    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Growth",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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      {
        "user_id": 1224836,
        "full_name": "Deniz Kavi",
        "title": "Founder/CEO",
        "founder_bio": "Building great software for life scientists.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/deniz-kavi",
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      {
        "user_id": 1451351,
        "full_name": "Sherry Liu",
        "title": "Founder",
        "founder_bio": "I'm currently building Tamarind Bio: easy to use computational biology tools for scientists. I studied Computer Science at Stanford. Previously, I've worked at AWS and as a machine learning researcher at Stanford. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sherryliu987",
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    "jobs": [
      {
        "id": 69560,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/OEkMxsJ-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.30% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Bash/Shell",
          "Python",
          "React",
          "Deep Learning"
        ]
      },
      {
        "id": 69561,
        "title": "Computational Biologist - Protein Engineering",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/Sfd2dcu-computational-biologist-protein-engineering",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Bioengineering",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python",
          "Deep Learning",
          "Protein engineering"
        ]
      },
      {
        "id": 76280,
        "title": "Founding Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/z6dyk9M-founding-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79566,
        "title": "Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/HPRZAz3-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$180K - $250K",
        "equity_range": "0.30% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 86594,
        "title": "Applications Scientist - Protein Design",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/IyQkQvA-applications-scientist-protein-design",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Biology",
        "salary_range": "$130K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 86595,
        "title": "Application Scientist - Computational Chemistry",
        "url": "https://www.ycombinator.com/companies/tamarind-bio/jobs/skNUfVc-application-scientist-computational-chemistry",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Science",
        "role_type": "Chemistry",
        "salary_range": "$130K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "The Startup Building An Operating System For Biotech AI",
        "url": "https://www.forbes.com/sites/the-prototype/2026/02/26/the-startup-building-an-operating-system-for-biotech-ai/",
        "date": "Feb 26, 2026"
      }
    ],
    "launches": [
      {
        "id": 78606,
        "title": "Tamarind Bio: API for scalable bioinformatics",
        "tagline": "The simplest way for computational scientists to deploy and use bioinformatics tools!",
        "body": "**TL;DR**\n\nIn addition to our no-code web platform (<https://www.tamarind.bio/>), Tamarind Bio now offers an API for computational teams to use cutting-edge bioinformatics tools for drug discovery without setting up any computing infrastructure or scaling up GPUs. We provide protein structure prediction (e.g. AlphaFold), protein design(RFdiffusion), and molecular docking tools at large scale and easily integrated into your workflow. Additionally, we deploy your custom models for internal use, provide virtual screening services, and provide pipelines to feed the results of models as input to the next downstream tool. \n\n**The Problem**\n\nComputational biology thrives on doing in silico experiments at large scales. However, it’s tedious to allocate tens/hundreds of GPUs for compute-heavy machine learning tools, make sure they are running as intended, and analyze disparate results. Whether it’s AlphaFold for protein structure prediction, RFdiffusion for binder design or DiffDock for small molecule docking, deploying these tools scalably and connecting them to downstream pipelines steals time away from developing models and doing better science.\n\n**The Solution**\n\nTamarind is launching an API for state-of-the-art computational tools in protein design, structure prediction, and docking. Simply submit your job and check back to receive your result. Download these results, keep them in S3, or generate an analysis. \n\nTamarind now integrates seamlessly with existing computational workflows: we’ll work with you to deploy your custom models and pipelines or run on your existing cloud computing infrastructure. \n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/1224836/df4f5292-e7ca-44a4-af61-b051397dbb46)\n\nWe are [Deniz](https://linkedin.com/in/deniz-kavi) and [Sherry](https://linkedin.com/in/sherryliu987)! We met as undergrads at Stanford, where we studied Computer Science and conducted comp bio research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, 1000+ scientists from institutions including Stanford, Harvard, and Oxford regularly use Tamarind to accelerate their work, as well as many YC companies. \n\nLet us handle the DevOps, while you focus on your science!\n\n**Asks**\n\nTry Tamarind out! Use our web platform now or email us to learn more about using the API. Documentation: <https://www.tamarind.bio/api-docs>\n\n* Computational Scientists at small/medium biotech companies in Drug Discovery, Protein/Enzyme Engineering, and Virtual Screening | + adjacent fields like Antibody Discovery\n* Software engineers deploying bioinformatics models\n* Anyone who might benefit from easy-to-use bioinformatics or cheminformatics\n\n![uploaded image](/media/?type=post&id=78606&key=user_uploads/89898/2bf93fd2-1a56-4d34-ab0c-85c5680f6212)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated! Get in touch: [founders@tamarind.bio](mailto:founders@tamarind.bio)",
        "url": "https://www.ycombinator.com/launches/KRq-tamarind-bio-api-for-scalable-bioinformatics",
        "votes": 24,
        "created_at": "2024-02-21T18:24:43.210Z"
      },
      {
        "id": 77001,
        "title": "Tamarind Bio: No-code bioinformatics for scientists",
        "tagline": "The simplest way for life scientists to use computational tools!",
        "body": "### **TL;DR**\n\nWe allow scientists to use cutting edge computational tools for drug discovery without writing any code. We currently provide protein structure prediction (AlphaFold/ColabFold), molecular docking and protein design resources. And would be excited to learn more what computational tools might be useful for scientists.\n\nWe also provide the infrastructure to use these open-source tools at large scales, including efficiently producing large numbers of protein structures along with protein design pipelines.\n\nCheck out our tools here: [tamarind.bio/app](https://www.tamarind.bio/app)\n\n### The Problem\n\nWhether [AlphaFold](https://www.nature.com/articles/s41586-021-03819-2) for protein structure prediction, [RFdiffusion](https://www.nature.com/articles/s41586-023-06415-8) for binder design or [DiffDock](https://www.mlsb.io/papers_2022/DiffDock_Diffusion_Steps_Twists_and_Turns_for_Molecular_Docking.pdf) for small molecule docking; open source machine tools are massively useful for the life sciences. However, these tools remain inaccessible to the scientists who would benefit most from them, due to lack of technical expertise or in-house computational resources.\n\n### The Solution\n\nInstead of implementing tools yourself:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/2986e780-9df4-4581-bf7a-3f33686e2668)\n\nUse Tamarind:\n\n![uploaded image](/media/?type=post&id=77001&key=user_uploads/1224836/fe2a2ae7-93c9-47dd-9db9-6c800878a0f1)\n\n[Tamarind](https://www.tamarind.bio) is a website to use the state of the art computational tools in protein design, structure prediction and docking.\n\nWe met as undergrads at Stanford, where we studied Computer Science and conducted research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, hundreds of scientists from institutions including Stanford, Harvard and Oxford regularly use Tamarind to accelerate their work.\n\nNo more Linux terminals or outsourcing computational work, just focus on your science!\n\n### Asks\n\nTry [Tamarind](https://www.tamarind.bio) out!\n\nIf you have or know anyone with the following backgrounds, please get in touch at [founders@tamarind.bio](mailto:founders@tamarind.bio). We’re very excited to learn about your work.\n\n* Scientists in Drug Discovery - industry and academic\n* Computational biologists in Structural Biology\n* Anyone who might benefit from easy to use bioinformatics\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/tamarind-bio/) to stay updated!",
        "url": "https://www.ycombinator.com/launches/K1x-tamarind-bio-no-code-bioinformatics-for-scientists",
        "votes": 16,
        "created_at": "2023-12-19T23:01:57.000Z"
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  {
    "id": 29343,
    "name": "Infinity",
    "slug": "infinity",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4375431e4067cbd0c409f02ba66c5924b3c146.png",
    "website": "https://www.infinityapp.in/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Infinity is a banking and payments platform for cross-border businesses in India. We help our customers make cross-border payments that are 70% cheaper than traditional methods and earn income on idle cash by investing in government securities.",
    "one_liner": "Business banking for cross-border SMBs & Startups",
    "team_size": 15,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1706317593,
    "tags": [
      "Fintech",
      "Payments",
      "B2B",
      "Investing",
      "International"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Payments"
    ],
    "regions": [
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      "South Asia"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/infinity",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/infinity.json",
    "year_founded": 2023,
    "city": "Bengaluru",
    "country": "IN",
    "linkedin_url": "https://www.linkedin.com/company/infinityinvest/",
    "x_url": "https://x.com/Infinityapp_in",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1347097,
        "full_name": "Sourav Choraria",
        "title": "Founder/CEO",
        "founder_bio": "Sourav is the founder & CEO of Infinity, a business banking platform for cross-border SMBs. Prior to Infinity, Sourav co-founded ClinMD(2016), healthcare data analytics company. Sourav was former head of growth at Paytm Money, India's largest wealth management platform and scaled it to 20 million MAU. He also launched India's first FD-backed secured credit card and scaled it to 100,000 users in 1 year.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sourav-choraria-9b389776",
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      },
      {
        "user_id": 224267,
        "full_name": "Sidharth Choraria",
        "title": "Founder/CTO",
        "founder_bio": "Was previously an Amazon engineer and PM working on Appstore. Launched Amazon Appstore  IAP module (equivalent to Google Billing Library) used by app developers to monetise digital goods. Developed an instant electronic payment system to pay out app developers across 135 countries. Founding engineer of Paytm Travel & Platform Engineer at MakeMyTrip,developing systems to handle 100M daily requests. CS grad from Birla Institute of Technology & MBA in Finance from Indian School of Business.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidharth-choraria-25411b65/details/experience/",
        "x_url": "https://twitter.com/sidharth9932",
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        "id": 75959,
        "title": "Software Engineer - Backend",
        "url": "https://www.ycombinator.com/companies/infinity/jobs/OFwxm4z-software-engineer-backend",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "₹1M - ₹2M INR",
        "equity_range": "0.20% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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    "news": [
      {
        "title": "[Exclusive] Y-Combinator-backed Infinity bags $1.9M in pre-seed funding | YourStory",
        "url": "https://yourstory.com/2025/02/exclusive-y-combinator-cross-border-payments-fintech-startup-infinity-bags-pre-seed-funding",
        "date": "Feb 05, 2025"
      },
      {
        "title": "Infinity: Business banking platform Infinity secures maiden funding from Y Combinator and others - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/funding/business-banking-platform-infinity-secures-maiden-funding-from-y-combinator-and-others/articleshow/116166893.cms?from=mdr",
        "date": "Dec 10, 2024"
      },
      {
        "title": "Cross-border fintech stands out in Y Combinator’s Winter 2024 cohort | TechCrunch",
        "url": "https://techcrunch.com/2024/04/05/cross-border-fintech-y-combinator-demo-day/",
        "date": "Apr 05, 2024"
      }
    ],
    "launches": [
      {
        "id": 87402,
        "title": "Infinity - Simplifying global payments for Indian businesses",
        "tagline": "Receive international payments with - Zero fx margin. No hidden fees. 1-day settlement.",
        "body": "**TL;DR:**\n\nWhether you’re a SaaS startup managing payouts to Indian contractors or a growing business sending vendor payments to India or Operating in US Parent Indian subsidiary model, Infinity’s cross-border payments platform offers:\n\n* **Transparent, real-time FX rates.**\n* **Significantly lower fees compared to traditional banks and other providers.**\n* **Same-day settlements.**\n* **Payment Tracking / Notifications**\n* **Seamless compliance for businesses (e.g., invoicing, tax reporting).**\n\n### The Problem\n\nThe US-India payment corridor is one of the busiest globally, yet businesses face slow processing times, high fees, and hidden charges. For startups and growing companies, these inefficiencies can be a real bottleneck. In general _for every dollar a business moves from the US to India, **business loses 3-5%**_**.**\n\nOne of the primary issues with FX transactions is the lack of transparency regarding the total cost of executing payments. These costs often include:\n\n1. Wire transfer fees\n2. Correspondent bank fees\n3. Currency conversion fees\n4. Intermediary fees, among others\n\nWhile some **_providers may highlight lower fees in one category, they often compensate with higher charges in another,_** resulting in minimal or no real savings.\n\nAlso, **global payments are slow with no visibility** on the fund movement.\n\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\\\n\\\n**Solution**\\\nIntroducing [Infinity](https://youtu.be/N9sdLr5QUig?si=uJPFxXZxH39au9Ht)!\n\n\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multi-currency accounts - one platform:** Easily receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\n\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\n\n**3) Fast, same-day international money transfer:** Track your payment in real-time.\n\n**4) Instant remittance certificate:** You move money. Infinity will take care of compliance.\\\n\\\n**Asks**\n\nAre you dealing with cross-border operations?\n\n* **Try out Infinity** at <https://www.infinityapp.in/> — your first payment is on us!\n* [Schedule a meeting](https://calendly.com/sourav9091/) — We’d love to learn more about your global business challenges and how we can help.\n* **Email us** at [founders@infinityapp.in](mailto:founders@cuckoo.so)\n\n\\\n**😎 Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n![uploaded image](/media/?type=post&id=87402&key=user_uploads/224267/5a1859ad-8620-4934-bce6-2e46693802e0)\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card.\n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.",
        "url": "https://www.ycombinator.com/launches/Mji-infinity-simplifying-global-payments-for-indian-businesses",
        "votes": 20,
        "created_at": "2025-02-04T15:16:33.974Z"
      },
      {
        "id": 78490,
        "title": "🚀 Infinity - Business banking for cross-border SMBs and startups",
        "tagline": "Infinity is a single platform to manage finances for cross-border business.",
        "body": "### TL;DR:\n\nInfinity simplifies banking for global businesses. It enables cross-border Indian companies to conduct transactions and receive payments in local currencies. Additionally, Infinity offers an in-house treasury management solution, allowing businesses to earn yield on idle cash and mitigate FX risks.\n\nHey everyone! We’re [Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) and [Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) and we're building a business banking platform for cross-border SMBs and Startups. In our past jobs, we worked as founders, wealth managers, growth hackers, and founding engineers at high-growth fintech startups.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/1347097/151b89e9-ff7d-4da8-8fd1-758c5bc04cac)\n\n### \n\n### 🤔 Problem\n\nBusiness banking is difficult. More so if you are global. Cross-border payments pose several challenges due to the complexities involved in transferring funds across different countries and jurisdictions.\\\n\\\n**Global payments are expensive**\\\nOne of the more basic issues with FX transactions is the lack of transparency in terms of the cost to execute FX payments. These costs can include wire transfer fees, correspondent bank fees, currency conversion fees, and intermediary fees, among others. While existing market providers might stress that one factor is low (lower than that of a competitor), that same institution might have high fees in another area, offsetting those savings.\n\n_In general for every dollar a business moves from the US to India, business loses **7%.**_\n\n**Global payments are slow**\\\nIn the majority of instances, international bank transfers are facilitated via the SWIFT network. This network ensures the transmission of your payment to its intended recipient. Nevertheless, the path isn't always direct. Certain payments may be routed through intermediaries, often referred to as correspondent banks, akin to making multiple connecting flights before reaching your final destination.\n\n_Generally speaking, international bank transfers will arrive within **one to five working days**._\n\n**There’s a compliance risk** \\\nEach transaction must be promptly reported to the Central Bank of India, accompanied by the correct invoice and purpose codes (of which there are numerous variations), sign-off from chartered accountants, etc. Failure to comply with these requirements can result in payment delays extending for months.\n\n**And There’s a FX risk**\\\nThe conversion rates between USD and INR are variable.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/144ca69a-c117-4837-b4ae-731cfed5fc15)\n\nWhat you receive today may differ from what you get in five days. If a business converts USD to INR five days from now and the dollar weakens, it will incur losses.\n\n### 🤩 The Solution\n\nIntroducing Infinity!\\\nStreamline global customers and suppliers’ payments with local accounts.\n\n**1) Multiple local currency accounts - one platform:** Easily send, hold, and receive funds in major currencies to facilitate transactions with overseas suppliers and customers.\\\n**2) Flat Fee - with zero FX markup:** Be fully transparent about the charges you incur. Receive a comprehensive breakdown of fees before each transaction to avoid any surprises.\\\n**3) Fast, same-day international money transfer:** Track your payment in real time.\\\n**4)** **Treasury service to hedge FX:** Earn higher yields on idle cash without worrying about liquidity and underlying asset risk.\\\n**5) Instant remittance certificate:** You move money. Infinity will take care of compliance.\n\n![uploaded image](/media/?type=post&id=78490&key=user_uploads/224267/aa9f08af-a85a-4252-b889-f62c1e2a2d6a)\n\n\\\nOur long-term vision is to be the **_financial operating system_** for businesses by automating daily financial tasks, allowing them to focus on what matters most. \n\n### 😎 **Team**\n\nSourav and Sidharth are siblings. This is their second startup together. Back in 2016, they co-founded health tech startup ClinMD.\n\n[Sourav](https://www.linkedin.com/in/sourav-choraria-9b389776/) was Head of the growth and product team at Paytm Money (India's largest wealth management platform). He also successfully launched India's first FD-backed credit card. \n\n[Sidharth](https://www.linkedin.com/in/sidharth-choraria-25411b65/) is a finance & tech geek. He spearheaded the In-app purchase module for the Amazon Appstore, utilized by app developers to monetize digital content globally. He successfully scaled systems to manage 100 million daily requests during his time at Paytm and MakeMyTrip.\n\n### **🙏 Our Ask**\n\nIf you want to try us out or to know how to manage your cash, please reach out to us. We’d love to give you a demo of how Infinity works, and even if not, we’d be happy to help you figure out your cash management situation.\n\nSay hi at [**sourav@infinityapp.in**](https://mailto:sourav@infinityapp.in/) or [**sid@infinityapp.in**](https://mailto:sid@infinityapp.in/) or Whatsapp at +91-9535482864 👋🏻\n\nAnd we’ll help you get started!\n\nYou can also [fill this form](https://dashboard.infinityapp.in/auth/signup) to request a demo.\n\n* Website —[**https://www.infinityapp.in**](https://www.infinityapp.in/)\n* LinkedIn — [**https://www.linkedin.com/company/infinityinvest**](https://www.linkedin.com/company/infinityinvest)",
        "url": "https://www.ycombinator.com/launches/KPy-infinity-business-banking-for-cross-border-smbs-and-startups",
        "votes": 164,
        "created_at": "2024-02-16T22:41:05.516Z"
      }
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    "id": 29349,
    "name": "Fuse",
    "slug": "fuse-2",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cc54fa641b3cb3228721daab125c19f08d117b8.png",
    "website": "http://www.fuseinsight.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "AI-powered automation for US healthcare provider workflows like patient intake, eligibility and benefits checks and billing using data-driven approaches. \r\n\r\nIf you know senior execs in medical groups or partners in healthcare PE please do connect us. We won’t waste their time: +1 628 468 3232.",
    "one_liner": "AI-powered workflow automation for US healthcare providers.",
    "team_size": 3,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1724162501,
    "tags": [
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      "Healthcare",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
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    "industries": [
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    "regions": [
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      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/fuse-2",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/fuse-2.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/fuseinsight/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "user_id": 1507819,
        "full_name": "Sho Sugihara",
        "title": "Founder",
        "founder_bio": "Sho is a repeat founder. He co-founded and scaled a fintech startup to multi-million $ ARR within twelve months from launch and eventual profitability. Before that, he worked on data analytics projects at McKinsey for some of the largest healthcare systems in the world, including the NHS and several of the top ten private healthcare insurers. He studied at Cambridge and the Karolinska Institutet. He is originally from Japan. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shoalexander",
        "x_url": "https://x.com/_ShoSugihara",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f81db307d2bb516fefea44516f2cc60bcb3b3d0c.jpg"
      },
      {
        "user_id": 1540213,
        "full_name": "Oscar Wilsby",
        "title": "Founder",
        "founder_bio": "Oscar has built large-scale payments and credit data analytics models that outperformed incumbents like Experian by a significant margin. These models helped power the first startup he co-founded and scaled to a multi-million $ run rate. Before tech, Oscar was a post-doc researcher and completed an MEng and PhD in Machine Learning and Computational Physics at Cambridge. He’s worked in research divisions for companies like McLaren F1 and Dyson, applying machine learning to complex data problems. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oscar-wilsby-71020931",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d5b4ff871d69b8c2882ed3367af6410552b5dab.jpg"
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    "jobs": [],
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    "launches": [
      {
        "id": 83233,
        "title": "Fuse - Underpayment detection for healthcare providers",
        "tagline": "AI-powered contract and remittance analytics to detect insurance underpayments.",
        "body": "**TL;DR:** [Fuse](https://fuseinsight.com/) offers AI-powered analysis of healthcare contracts and payments to help providers detect underpayments and collect the revenue they’re owed from insurers.\n\n# **❌ Problem**\n\nOur “aha” moment came when healthcare provider execs repeatedly told us they had no idea if their revenue was accurate. One even described their insurance claims process as a “black hole”. \n\nSeveral factors contribute to this issue: \n\n1. Growing usage of AI. Insurers are using sophisticated models to analyze claims and find ways to subtly underpay.\n2. Too many contracts: An average hospital has over 50 contracts with insurers with varying reimbursement rates for the same procedure, making payment accuracy verification costly and near impossible.\n3. M&A wave: Mergers are forcing providers to consolidate contracts and revenue tracking systems, adding further complexity.\n\nAs a result, providers spend months analyzing revenue and chasing payments, forfeiting up to 11% of topline revenue if they cannot afford the overhead to do so.\n\nWith provider operating margins already negative since COVID-19, the situation creates severe margin compression and cash flow risk.\n\n# **Solution**\n\nWe use LLMs to extract data from the stacks of contracts that dictate provider payment terms from insurers. We reconcile the data against remittances to identify underpayments and auto-generate appeals.\n\n![uploaded image](/media/?type=post&id=83233&key=user_uploads/1507819/169bfbcd-d6cd-41ba-86d1-f63d06334f04)\n\nOur mission is to level the playing field for providers with AI-powered contract analytics. Beyond this, we want to aid the transition towards Value-Based Care by powering sophisticated contract modeling as payment models become even more complex.\n\n# **Team**\n\nOur team specializes in complex financial data analytics. We previously co-founded a business that grew from $0 to $6M ARR in 12 months, developing large-scale data models for payment and credit analytics that outperformed major players like Experian.\n\n![uploaded image](/media/?type=post&id=83233&key=user_uploads/1507819/bb33a54c-d510-46da-88bf-afe733d457c3)\n\n[Oscar](https://www.linkedin.com/in/oscar-wilsby-71020931/) (CTO) was an academic who completed a PhD and postdoc in Machine Learning at Cambridge. He’s worked in research divisions for companies like McLaren F1, and brings expertise in building top performing data models in highly regulated industries. \n\n[Sho](https://www.linkedin.com/in/shoalexander/) (CEO) met Oscar during their first week of undergrad at Cambridge. He’s a repeat entrepreneur and closed a $100k contract within a year for his first company, and has worked on data analytics projects for some of the largest providers and insurers in the world at McKinsey.\n\n# **🙏 Our Ask**\n\n**If you know senior finance execs in healthcare systems or partners at healthcare PE firms please do connect us!** [**founders@fuseinsight.com**](https://mailto:founders@fuseinsight.com)",
        "url": "https://www.ycombinator.com/launches/LeT-fuse-underpayment-detection-for-healthcare-providers",
        "votes": 63,
        "created_at": "2024-08-20T18:16:08.639Z"
      }
    ]
  },
  {
    "id": 29356,
    "name": "Centralize",
    "slug": "centralize",
    "former_names": [
      "Sage",
      "Collate"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bc7c40a368d66db588fec716bdb4cfc3dba48d1.png",
    "website": "https://www.usecentralize.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Centralize is the relationship intelligence platform for enterprise revenue. We show reps who they know inside every deal, who they're missing, and the fastest path to the decision-makers who close it. We're building the graph of who trusts who in B2B.",
    "one_liner": "The relationship intelligence platform for enterprise revenue",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1699493825,
    "tags": [
      "SaaS",
      "B2B",
      "Sales",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/centralize",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/centralize.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usecentralize",
    "x_url": "https://twitter.com/UseCentralize_",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bc7c40a368d66db588fec716bdb4cfc3dba48d1.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1541841,
        "full_name": "Rachit Kataria",
        "title": "Founder/CEO",
        "founder_bio": "Rachit is the co-founder and CEO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, he was the product tech lead at AtoB (YC S20) and built the foundations of their partner-funded discounts and telematics fraud suite. Before that, he was a founding engineer on Facebook Shops and helped scale the product to hundreds of millions of MAUs. He's originally from the Bay Area and received a BS / MS in CS from the University of Southern California.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/rachitkataria",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c1c340b6d874c94b9d18724e3fe331753bf740d4.jpg"
      },
      {
        "user_id": 1322708,
        "full_name": "Will Wang",
        "title": "Founder/CTO",
        "founder_bio": "Will is the co-founder and CTO of Centralize, the all-in-one deal workspace for high ACV revenue teams. Prior to Centralize, Will started the prototyping team at Slack & led the initial launch of Huddles, the fastest growing product in Slack history. He also led engineering & product for Clips, Save For Later, Lists & other experimental verticals. Will was also the 1st engineer at Capture, where he built much of the product from the ground up.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/williamwang77",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5ea5ee24e4a3bc9617120a0dfdbf996a89d69d7.jpg"
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    "jobs": [
      {
        "id": 94472,
        "title": "Software Engineer (Product)",
        "url": "https://www.ycombinator.com/companies/centralize/jobs/4dgWq6o-software-engineer-product",
        "location": "San Francisco, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$190K - $260K",
        "equity_range": "0.20% - 0.40%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Centralize is the GPS for Enterprise Deals",
        "url": "https://www.youtube.com/watch?v=dZLVDPzPITg",
        "date": "Sep 08, 2026"
      }
    ],
    "launches": [
      {
        "id": 82598,
        "title": "🤝 Centralize - AI-powered org charts for enterprise sales",
        "tagline": "The relationship intelligence platform for B2B revenue teams",
        "body": "Hey everyone! We’re Rachit and Will, the founders of [Centralize](https://usecentralize.com/).\n\n**tl;dr**: Centralize is the relationship intelligence platform for enterprise sales. We help enterprise sellers 2x their deal velocity and boost win rates by up to 56% with automatic account mapping and contact insights.\n\n---\n\n—\n\n## Problem\n\nUnderstanding customer relationships is crucial to the entire enterprise sales lifecycle, from closed won to renewal and upsell. The best teams use **account mapping,** but it’s an entirely manual and tedious exercise today. Reps are stuck making instantly outdated org charts in Powerpoint or juggling extensive CRM lists in their minds. That doesn’t even factor in ongoing conversations across stakeholders — **all of that revenue-influencing data** is buried in jumbled CRM fields, call transcripts, notes, and emails.\n\nThe result?\n\nDeals fall through due to champion blind spots. Reps don’t have enough time to prep well for calls. Pipeline reviews end in ambiguity and concerns around “happy ears”.\n\n**❌ Stalled pipeline, hours of admin overhead, and poor win rates ❌**\n\nWhat if the entire account mapping process could be automated with contact-level conversation insights?\n\n## Solution\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/e4e3e4a0-383f-405e-a273-f6a4fa325524)\n\n**Centralize is the relationship intelligence platform for enterprise sales, helping revenue teams say the right thing, to the right person, at the right time.**\n\nOur enriched dynamic org charts make cross-department multithreading a breeze. Contact priorities update in real-time using AI-generated conversation insights from emails and calls. In-depth account planning becomes scalable and pipeline reviews now take minutes, giving leaders an objective, birds-eye view of each deal.\n\nDesigned for the entire revenue team, our platform offers unlimited seats for sales reps, leaders, CSMs, and AMs. Best of all, we meet you where your team works, right within your CRM.\n\nThe result?\n\n**✅ 2x deal velocity and increased win rates by up to 56% ✅**\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/05dc40bf-33d5-48b6-92b8-cd6775d10254)\n\n## Team\n\n![uploaded image](/media/?type=post&id=82598&key=user_uploads/1541841/3c552384-328c-43de-a128-7b122c31979f)\n\n[Rachit Kataria](https://www.linkedin.com/in/rachitkataria/) and [Will Wang](https://www.linkedin.com/in/williamwang77/) met their first week of Freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThroughout these experiences, both have seen first-hand how important relationships are to the initial close and continued success of an account.\n\nTogether, they’re on a mission to bring relationship intelligence to every B2B company.\n\n## 🙏🏽 Our Ask\n\nIf you run a mid-market / enterprise / strategic sales motion, let’s chat! We work with fast-growing businesses ranging from Series A to pre-IPO, so you’re in great company.\n\n[Book a demo](https://cal.com/rachit-kataria/centralize-demo) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊",
        "url": "https://www.ycombinator.com/launches/LUE-centralize-ai-powered-org-charts-for-enterprise-sales",
        "votes": 7,
        "created_at": "2024-07-31T15:15:07.833Z"
      },
      {
        "id": 78889,
        "title": "🧠 Centralize - Demystify customer conversations and unlock revenue",
        "tagline": "The missing customer intelligence platform for B2B revenue teams",
        "body": "👋🏼 Hey everyone! We’re [Rachit](https://www.linkedin.com/in/rachitkataria/) and [Will](https://www.linkedin.com/in/williamwang77/), the founders of [Centralize](https://www.usecentralize.com/).\n\n**tl;dr:** Centralize is the new way for pre and post-sales teams to fully understand their customers, in one place. We’re the missing revenue tool that B2B companies use to win more deals, upsell customers, and eliminate churn.\n\n—\n\n## **Problem**\n\nEvery SaaS company has a revenue problem. Budgets are tightening, which means new deals are harder to close and existing customers are quicker to churn. Now, more than ever, Sales and Success teams need to deeply understand customer conversations across time, tools, and stakeholders.\n\nUnfortunately, this is impossible at scale. **All of that revenue-influencing data is** **hidden** in a sea of CRM fields, call transcripts, notes, emails, and tickets. For even the best teams, getting visibility across data silos, sifting through text for hours, and connecting the dots is **a herculean task**.\n\nThe result?\n\nSales reps can’t reference relevant customer stories during prospect calls to seal the deal. They get bottlenecked internally, hoping Success has the answers. CSMs don’t have the full picture of the customer journey either and can’t maximize upsell and renewal outcomes.\n\n**❌ Slower qualification, stalled pipeline, dropped deals, and more churn ❌**\n\n## **Solution**\n\nCentralize is the first customer intelligence platform that helps B2B revenue teams tell the right story, every time. We automatically centralize (😉) and analyze touch points across high-touch accounts, creating the perfect “customer brain”.\n\n**Sales** gets a ranked list of reference customers ahead of any prospect call. They get _in-context_ insights about use cases and solutions that can be used to craft a personalized narrative. Reps, new or experienced, always come across as empathetic experts and win more deals.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/8273fb60-4936-448b-85b0-5ccab0a104a8)\n\n**Success** gets a real-time customer dashboard to understand accounts at a glance. Leadership and ICs can go deeper with instant, self-serve answers to _any customer question_. Renewals, reporting, and QBRs become a breeze when you know exactly what’s happening on the ground.\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/7cd7e0cb-0041-4afe-ab28-520f18c0fe3b)\n\nThe result?\n\n**✅ Qualify 10x faster, boost lead to opportunity conversion rates, win more deals, drive upsells, and eliminate churn ✅**\n\n## **Team**\n\n![uploaded image](/media/?type=post&id=78889&key=user_uploads/1541841/34599b9e-7c0a-4f1b-8d4b-bb42ee45f884)\n\nRachit Kataria and Will Wang met their first week of freshman year at USC (fight on ✌🏽) and have been friends for almost a decade.\n\nRachit was a founding engineer on Facebook Shops and helped scale it to 250M MAUs. He left to tech lead product engineering at AtoB (S20) where he built the foundations of fuel card fraud detection. Will prototyped and led the launch of Huddles, the fastest growing product in Slack history. He left to build the future of personal productivity at Capture (W19).\n\nThey know that it pays to be customer-obsessed and they’re on a mission to make that incredibly easy for every B2B company.\n\n## **Ask**\n\nYour revenue teams need to understand customer context to move the needle, and we’re here to help!\n\nIf you know any sales or success leaders who could benefit from Centralize, please send them our way.\n\nIf you are one, we’d love to chat! [Book a demo](https://cal.com/rachit-kataria/centralize-yc-launch) or reach out to us at [founders@usecentralize.com](mailto:founders@usecentralize.com) 😊\n\n---",
        "url": "https://www.ycombinator.com/launches/KWP-centralize-demystify-customer-conversations-and-unlock-revenue",
        "votes": 106,
        "created_at": "2024-02-29T07:47:49.126Z"
      }
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  {
    "id": 29357,
    "name": "Salvy",
    "slug": "salvy",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b71e1e8adce18f87e8ef73ee6a188e9e025e033.png",
    "website": "https://www.salvy.com.br",
    "all_locations": "Curitiba, PR, Brazil",
    "long_description": "Salvy is a mobile carrier for businesses in Brazil. Over 1800 companies use Salvy to manage over 20,000 mobile lines, cutting costs by over 50%.\r\nThe founders have worked many years together in Brazil's largest fintechs (Nubank and EBANX).\r\n\r\nToday, every carrier in Brazil has roughly the same network quality - it isn't a differentiator. If you're an IT manager who needs to deploy 2k lines, you want an integrated and seamless solution. You need to deploy this resource, fast. Salvy provides a software layer that makes deploying and managing mobile lines a fast and efficient process, integrated with HRIS, ERPs, and others.\r\n\r\nThis is a massive market: there are 55 million b2b mobile lines in Brazil, which adds up to 5 billion dollars in ARR in just one country. ",
    "one_liner": "Mobile carrier for businesses in Brazil",
    "team_size": 27,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1699313337,
    "tags": [
      "SaaS",
      "B2B",
      "Latin America",
      "Telecommunications",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Operations"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "It all started when Lucas landed in São Paulo/Brazil for a business trip and went out of data on his mobile plan. He did not want to leave the airport with no gigs, so he decided to add new ones. But, there was no app. He then tried calling customer support. That started a 1:30 hour-long call to add a simple GB. That was the ignition for Salvy. From that day on, we focused on telco and found that it was the right space to tackle."
      }
    ],
    "url": "https://www.ycombinator.com/companies/salvy",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/salvy.json",
    "year_founded": 2022,
    "city": "Curitiba",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/use-salvy",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/salvy",
    "github_url": "https://github.com/SalvyLTD",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 928768,
        "full_name": "Artur Negrão",
        "title": "Founder/CEO",
        "founder_bio": "As Co-Founder and CEO of Salvy, I am dedicated to revolutionizing B2B telco in Brazil. My background includes extensive experience in product management and technology, as well as a strong foundation in investments, valuation, and finance.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/arturnegrao",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66fbb28dde18732304882d02715356ff2ef7b63.jpg"
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      {
        "user_id": 1366025,
        "full_name": "Hudo Assenco",
        "title": "Founder/CTO",
        "founder_bio": "I'm a software engineer at heart and currently leading as the co-founder and CTO of Salvy, a B2B mobile carrier in Brazil. My journey in tech previously took me through roles as a software engineer at Nubank and EBANX, the latter being known for its unicorn status in  Brazil",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hudo-assenco",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f977d0c3490512e868761f12bc16f87b49171add.jpg"
      },
      {
        "user_id": 1698662,
        "full_name": "Maria Eduarda Kumlehn",
        "title": "Founder",
        "founder_bio": "I am a results-driven professional with a strong background in revenue operations, data analytics, and sales management. Currently serving as the Chief Revenue Officer (CRO) and Co-founder at Salvy, I am responsible for driving revenue growth and overseeing the company's strategic initiatives. \n\nI believe that Salvy has the potential to revolutionize a market that has remained stagnant for years and provides a poor experience for its customers. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mariaeduardakumlehn/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/765af4deda09269fe775e0307ebc32b8d00635ad.jpg"
      },
      {
        "user_id": 893240,
        "full_name": "Lucas Rosa",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder and CPO of Salvy, a B2B mobile carrier in Brazil. \nFormer Lead PM at EBANX (a Brazilian payments Unicorn) and former PM at the Brazilian Space Agency. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lucas-rosa-3080b43b",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eeafab2d44d9110f56697b1abd0e72889124c394.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Salvy raises $1M round, with participation from Y Combinator and led by SaaSholic. | Blog da Salvy",
        "url": "https://blog.salvy.com.br/salvy-raises-1m-in-a-seed-round-with-participation-from-y-combinator-and-led-by-saasholic/",
        "date": "Feb 20, 2024"
      },
      {
        "title": "\n        Seu plano corporativo de telefonia parou no tempo? A Salvy quer ser uma alternativa - Brazil Journal",
        "url": "https://braziljournal.com/seu-plano-corporativo-de-telefonia-parou-no-tempo-a-salvy-quer-ser-uma-alternativa/",
        "date": "Dec 11, 2023"
      }
    ],
    "launches": [
      {
        "id": 78582,
        "title": "Salvy - Simplifying Telco for businesses in Brazil",
        "tagline": "We allow more than 250 companies to easily purchase and manage their mobile lines while reducing costs.",
        "body": "We're [Artur](https://linkedin.com/in/arturnegrao), [Lucas](https://linkedin.com/in/lucas-rosa-3080b43b), [Hudo](https://linkedin.com/in/hudo-assenco), and [Duda](https://www.linkedin.com/in/mariaeduardakumlehn/), the team behind [Salvy](https://www.salvy.com.br). We're **simplifying mobile and IT management for businesses**. Our mission is to cut through the chaos of telecom and IT services in Brazil.\n\n![uploaded image](/media/?type=post&id=78582&key=user_uploads/928768/83c1a053-91c7-452f-98f5-394c85819498)\n\n# **The Problem**\n\nCompanies in Brazil are tangled in complex telecom contracts and lost in inefficiencies. It's a universal headache, especially for businesses scaling up. That's where we step in.\n\n### Customer Pains\n\n1. **Cost inefficiency.** Companies use only 30% of what they purchase and around 20% of mobile lines are unused.\n2. **No transparency.** Companies don't know who is using it, how much they are using and for what.\n3. **Companies have no autonomy to manage their lines.** The mobile operators offer a very limited platform, increasing the need for customer service.\n4. **Awful customer service.** Incumbents provide low autonomy customer service that leaves customers with no effective help.\n5. **Confusing payments.** Invoices are long and confusing. Big companies have to hire consultants to understand how much they are paying. Some customers have over 120 telecom invoices a month.\n\n# **Our Solution**\n\nSalvy simplifies how companies **purchase and manage mobile telecom, turning it into SaaS**. Our platform provides a transparent, efficient way to handle mobile lines and IT demands (such as inventory management), minus the traditional hurdles.\n\nWe use AI to read telecom invoices and help companies migrate to Salvy. In just over a year, we've acquired +250 companies and have a 322% NDR with a 0,2% churn.\n\n[https://www.youtube.com/watch?v=Io7iavc7qc0](https://www.youtube.com/watch?v=Io7iavc7qc0&t=2s)\n\n### **Our Vision**\n\nOur goal is to be the **one-stop-shop solution for all things IT**, much like Rippling IT Cloud. We're using telco as a gateway to provide other solutions such as inventory and SaaS management, using AI to empower these solutions with speed and efficiency. We believe in three strategies:\n\n1. Retention is inherent in B2B mobile telecom when you do a good job and there are no loyalty contracts.\n2. Mobile telco works as the gateway to other IT solutions for mid-sized companies\n3. If you can work as a one-stop-shop software for IT, you can build a really successful business.\n\nThank you for getting to know more about us and feel free to [reach out to us](mailto:artur@salvy.com.br) for more details!",
        "url": "https://www.ycombinator.com/launches/KRS-salvy-simplifying-telco-for-businesses-in-brazil",
        "votes": 638,
        "created_at": "2024-02-21T00:01:48.712Z"
      }
    ]
  },
  {
    "id": 29376,
    "name": "Carma",
    "slug": "carma",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png",
    "website": "https://www.joincarma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.",
    "one_liner": "The AI Operating System For Modern Fleets.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1701065445,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Compliance",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/carma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carma.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carma-com",
    "x_url": "https://twitter.com/joincarma",
    "fb_url": "https://www.facebook.com/joincarmacom",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1377569,
        "full_name": "Muhammad Alasgarli",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/muhammadalasgarli",
        "x_url": "https://twitter.com/ceocarma",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5dc582818ac2336ab4370f4172b6d39e48dc142.jpg"
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      {
        "user_id": 1654921,
        "full_name": "Suleyman Alasgarli",
        "title": "Founder/CRO",
        "founder_bio": "Founder & Chief Growth Officer @ Carma.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salasgarli/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a74681914382cb780d6fc790dbea11f2bfee9548.jpg"
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    ],
    "jobs": [
      {
        "id": 88420,
        "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)",
        "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "PostgreSQL",
          "React",
          "Docker"
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 98918,
        "title": "Carma: We replaced fleet operations with software.",
        "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.",
        "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer",
        "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software",
        "votes": 4,
        "created_at": "2026-03-19T20:33:46.461Z"
      },
      {
        "id": 76596,
        "title": "🚗Carma – Fleets get top service centers to bid for same-day service",
        "tagline": "Never overpay or wait weeks for quality vehicle service ever again.",
        "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n",
        "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service",
        "votes": 21,
        "created_at": "2023-12-01T22:39:47.302Z"
      }
    ]
  },
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    "id": 29386,
    "name": "Andy AI",
    "slug": "andy-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9de74b7308c61d7e8f1bdea5348c7c96f22a7f7.png",
    "website": "https://with-andy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Andy is AI software that completes documentation for nurses doing home visits. Our software saves $8B a year; Tiantian was previously a PM at Google’s healthcare business and Max was a staff engineer on the health team at Apple. \r\n\r\nAndy benefits nurses and the agencies that employ them. Agencies that use Andy see up to 45% more detailed charts, 2x greater nurse productivity, and timely submission (no more billing delays!) With Andy, clinicians get their evenings back. \r\n\r\nHome health is the fastest growing segment of healthcare, doubling to $251B by 2031. Combined with recent nursing shortages and burnout, we’re seeing not just urgency, but excitement and joy, around adopting AI for home health. ",
    "one_liner": "Faster clinical documentation for home health nurses",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1707354939,
    "tags": [
      "SaaS",
      "Health Tech",
      "B2B",
      "Healthcare",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Healthcare IT"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/andy-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/andy-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/with-andy",
    "x_url": "",
    "fb_url": "https://www.facebook.com/people/Andy-AI/61556463293700/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 932678,
        "full_name": "Tiantian Zha",
        "title": "Founder/CEO",
        "founder_bio": "Tiantian is the CEO and co-founder of Andy AI. Princeton CS >> Google APM >> Verily (Google Life Sciences). She was the first PM on Debug, an AI and robotics moonshot to eliminate Dengue fever, which affects up to 400M people each year. The product is commercially launched and achieves up to 80% reduction in disease.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tiantianzha",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4812a4ba7ec2ac587bfba073915db5bdef1fb497.jpg"
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    "jobs": [
      {
        "id": 71798,
        "title": "Founding Engineer - Healthcare AI",
        "url": "https://www.ycombinator.com/companies/andy-ai/jobs/lrsiSTP-founding-engineer-healthcare-ai",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 72360,
        "title": "Founding Engineer - Full Stack",
        "url": "https://www.ycombinator.com/companies/andy-ai/jobs/TXZ6eTG-founding-engineer-full-stack",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 78586,
        "title": "🧑‍⚕️ Andy AI - Faster clinical documentation for home health nurses",
        "tagline": "Agencies see timely & accurate documentation and happier nurses.",
        "body": "Hi everyone, we’re [Tiantian](https://linkedin.com/in/tiantianzha) and [Max](https://linkedin.com/in/akhterov), the founders of [Andy](https://with-andy.com).\n\n**Andy completes clinical documentation for nurses doing home health visits**.\n\n### **What is home health?**\n\nSkilled nursing in the home is a booming business, on track to double to $250B in by 2031. Better outcomes, lower costs, and aligned with patient preferences: it’s no surprise large insurers are scooping up home health providers.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/56616808-3fe2-4b7d-8bdb-b670e0ed70e2)\n\n### **The problem: too much charting**\n\nOn the ground, however, we’re seeing widespread burnout among nurses. The worst part of the job is documentation, which can take 90 minutes for a single patient and costs agencies $8B per year. Agencies that employ these nurses struggle to submit _high-quality_ documentation in a _timely_ manner, which is hurting their top line.\n\n### **The solution: an AI scribe**\n\nAndy is an AI-powered ambient scribe designed specifically for home health nurses. Nurses record their visits using their Andy app and receive a chart completed by Andy straight into their EHR. With Andy, the 90-minute documentation process is now a 15-minute review.\n\n### **Meet Team Andy**\n\nWe’re a healthcare & AI team focused on pressing public health challenges. America’s rapidly aging population needs home health. We’re building tools to restore joy & connection to the profession.\n\n![uploaded image](/media/?type=post&id=78586&key=user_uploads/932678/325091cd-9334-41c7-a3c0-551987559a77)\n\n* [**Tiantian Zha**](https://linkedin.com/in/tiantianzha) previously led an AI and robotics project at Google Life Sciences to eliminate mosquito-borne diseases, a public health challenge affecting 400M people each year.\n* [**Max Akhterov**](https://linkedin.com/in/akhterov) previously built health AI algorithms for the Apple Watch, including the passive detection of atrial fibrillation which is running on 50M devices.\n\n### **How you can help**\n\nDo you know any home health operators? Please share [Andy](https://with-andy.com) to help them get accurate documentation done on time!",
        "url": "https://www.ycombinator.com/launches/KRW-andy-ai-faster-clinical-documentation-for-home-health-nurses",
        "votes": 53,
        "created_at": "2024-02-21T03:19:30.366Z"
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    "id": 29390,
    "name": "OffDeal",
    "slug": "offdeal",
    "former_names": [
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    "website": "https://offdeal.io",
    "all_locations": "New York City, NY, USA",
    "long_description": "OffDeal is an AI-native investment bank, offering small business owners a faster, cheaper way to sell their companies at premium prices. Our AI technology automates most of the grunt work typically done by analysts at larger Wall Street banks, enabling our in-house M&A advisors to focus more on strategic client interactions, leading to better outcomes for both sellers and buyers.",
    "one_liner": "AI-native investment bank for small businesses",
    "team_size": 25,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1709626394,
    "tags": [
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      "B2B",
      "SMB",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/offdeal",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/offdeal.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/offdeal/",
    "x_url": "https://twitter.com/tryoffdeal",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/23d3f5ab2e3955f14083478510c8a7ab18cb9f8f.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 1297689,
        "full_name": "Ori Eldarov",
        "title": "Founder/CEO",
        "founder_bio": "Founder / CEO @ OffDeal \n\nbuilding an AI-native investment bank for buying and selling small businesses. \nprev. mba @ harvard + couple of startup stints. \nlover of carbs and espresso martinis. avid runner and cyclist. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/eldarov",
        "x_url": "https://twitter.com/leveredvlad",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1390b2e045e15cf7d2fe8b69181bc657c34ffe19.jpg"
      },
      {
        "user_id": 1553916,
        "full_name": "Alston Lin",
        "title": "Founder/CTO",
        "founder_bio": "Founder / CTO @ OffDeal.\n\nPreviously, \nFounder / CTO @ Bizwise, \nSWE / SWE Intern @ Meta, Google, Yelp, PagerDuty, IBM, and Encircle. \nSoftware Engineering @ University of Waterloo.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alstonlin",
        "x_url": "https://x.com/alstonthelin",
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    "jobs": [
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        "id": 80117,
        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/offdeal/jobs/B8lTBlY-full-stack-engineer",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $230K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80744,
        "title": "Full Stack Engineer (New Grad)",
        "url": "https://www.ycombinator.com/companies/offdeal/jobs/c2sQf8D-full-stack-engineer-new-grad",
        "location": "New York",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $180K",
        "equity_range": "0.10% - 0.30%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
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    ],
    "news": [
      {
        "title": "These AI-Native Companies Have Tiny Staffs and Fewer Bosses",
        "url": "https://www.wsj.com/tech/ai/ai-companies-staffing-c9029343",
        "date": "Jul 18, 2026"
      },
      {
        "title": "I Took a Calculated Risk and Left JPMorgan for an AI Investment Bank - Business Insider",
        "url": "https://www.businessinsider.com/left-jp-morgan-analyst-join-ai-investment-bank-startup-advice-2025-10",
        "date": "Oct 11, 2025"
      },
      {
        "title": "Wall Street's new AI era: OffDeal CEO on using AI to disrupt investment banking",
        "url": "https://www.cnbc.com/video/2025/08/04/wall-streets-new-ai-era-offdeal-ceo-on-using-ai-to-disrupt-investment-banking.html",
        "date": "Aug 04, 2025"
      },
      {
        "title": "OffDeal Pioneers AI-Native Investment Banking for the Middle Market",
        "url": "https://www.startuphub.ai/ai-news/ai-video/2025/offdeal-pioneers-ai-native-investment-banking-for-the-middle-market/",
        "date": "Aug 04, 2025"
      },
      {
        "title": "How OffDeal’s Viral ‘$12M Series A’ Broke Wall Street’s Brains",
        "url": "https://www.sourcery.vc/p/how-offdeals-viral-12m-series-a-broke",
        "date": "Aug 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 79184,
        "title": "OffDeal -  AI broker for buying small businesses",
        "tagline": "Custom-built AI agents to find, vet, and engage SMB acquisition targets",
        "body": "Howdy folks 👋🏻 We’re [Ori](https://www.linkedin.com/in/eldarov/) and [Alston](https://www.linkedin.com/in/alstonlin/) from [OffDeal](http://www.offdeal.io) and we’re building an AI broker that helps individual buyers find and acquire small businesses. \n\n# tl;dr\n\nFinding the right small business to acquire is painfully manual and tedious - an average buyer takes almost two years to buy one! 🫨\n\nOffDeal puts SMB deal sourcing on autopilot. Our AI broker\n\n* Screens through millions of SMBs using semantic search on dozens of data points to identify potential targets \n* Automatically researches each one to ensure criteria match using custom AI web agents\n* Crafts and sends hyper-personalized emails to maximize response rate\n\nSince launching our closed beta two weeks ago, we have about a dozen buyers using OffDeal to source $10-50 million SMB acquisitions.\n\n# **❌ Problem: Buying a small business takes 18-24 months**\n\nThe current process of finding a small business to buy is painstakingly slow and tedious. Today, buyers rely on a combination of expensive SMB databases (e.g. Grata, Sourcescrub) and manual research, often involving a makeshift \"deal team\" of unpaid interns and offshore assistants. \n\nThis cobbled-together system creates a major bottleneck, typically allowing buyers to only assess 100-150 businesses per week (and that's considered good!). Since buyers usually need to go through \\~10,000 businesses before finding “the one”, the entire process becomes incredibly time-consuming, frustrating, and expensive.\n\n## **✨ Our Solution: AI Broker to find, diligence, and engage 10x more SMB targets**\n\nOur AI broker acts much like a human M&A advisor would - it finds targets, diligences them, and then reaches out to them on your behalf. However, unlike a human, our AI broker is powered by proprietary recommendation engines and custom-built AI agents and can do this for thousands of companies at a time 👀\n\nHere is how it works:\n\n**Step 1.** 🔎**Preliminary target list** \n\nOur AI screens through millions of SMBs on dozens of data points using LLM-powered semantic search to uncover off-market hidden gems that match your exact acquisition criteria.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/3137a403-b062-4ac1-a4ac-d6f626df2c51)\n\n**Step 2. 🧠 Offload tedious research**\n\nOur web-enabled AI agents conduct automated diligence, vetting thousands of companies to deliver a precision-targeted shortlist in minutes, not days.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/b2aae969-b311-4a27-80f3-1be6afde6f4b)\n\n**Step 3.⚡Automate personalized outreach**\n\nOur AI uses dozens of data points to craft and send hundreds of hyper-personalized messages each week, helping you stand out from other buyers and fill your calendar with owner calls.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e224acfd-e6f7-459c-b4f3-81b2933cbb57)\n\n# **Our first customers**\n\nTo start we’re focusing on “search funds”. These are individuals (typically MBAs from top programs) who raise money from institutional investors to acquire a small business.\n\nThis is an ideal first customer because: \n\n1. They only have 2 years to find a business (or have to return capital)\n2. 30% of searchers fail to find a deal within that timeframe\n3. They are happy to pay finder fees for successful introductions\n4. Ori personally knows dozens of them from his time at HBS and working in finance, making for a much easier GTM 🙂\n\nBeyond search funds, we plan to expand to private equity firms, which buy thousands of SMBs each year, as well as to a rapidly growing number of individuals choosing to leave the rat race and pursue acquisition entrepreneurship.\n\n# \n\n# 🤝🏻**Team**\n\n[Ori Eldarov](https://www.linkedin.com/in/eldarov/) (CEO) first came across this problem in 2019 - when he attempted (unsuccessfully) to acquire a business. A couple of years later, he saw dozens of his classmates at HBS go through the same struggles. \n\n[Alston Lin](https://www.linkedin.com/in/alstonlin/) (CTO) also struggled to find the right SMBs in the previous startup he founded - using existing tools that relied on broad industry buckets resulted in most outreach going to irrelevant businesses. However, with his experience working with big data and ranking engines at Facebook and Google, he knew he could build a better solution.\n\n![uploaded image](/media/?type=post&id=79184&key=user_uploads/1297689/e260dfb2-5b95-467d-8d5d-e61094feec02)\n\n# **The Ask**\n\nIf you or anyone you know is looking to acquire a small business ($10-50M) please introduce us! We can be reached at [founders@offdeal.io](mailto:founders@offdeal.io) or this [form](https://docs.google.com/forms/d/e/1FAIpQLScyDLNDz41cP1l404c8ESodrN0lCDM7_HgfOBS2BC2x5F64EA/viewform). \n\nThese can be any of the following: \n\n* Individual buyers / “search funds” \n* Lower middle market PE firms \n* Companies looking to make an add-on acquisition\n\n \n\n**Thanks everyone for your support 🙂**",
        "url": "https://www.ycombinator.com/launches/KbA-offdeal-ai-broker-for-buying-small-businesses",
        "votes": 103,
        "created_at": "2024-03-07T21:50:22.985Z"
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    "id": 29391,
    "name": "Abel",
    "slug": "abel",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/07ef2e243aa1386d6ced2b9fa5bf410249eb3799.png",
    "website": "https://www.tryabel.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Abel transforms law firm document review workflows, eliminating the need to choose between depth and breadth. Attorneys use Abel to answer nuanced questions based on the context spread across thousands of documents.",
    "one_liner": "Transforming document review for litigation teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1703027442,
    "tags": [
      "Generative AI",
      "B2B",
      "Legal",
      "LegalTech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
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      "Legal"
    ],
    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/abel",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/abel.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryabel/",
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        "id": 79318,
        "title": "Abel: Transforming document review for law firms",
        "tagline": "Review legal records with the depth of manual review and the scale of technology",
        "body": "Hello! We’re [Chenyu](https://www.linkedin.com/in/chenyuli/) and [Sean](https://www.linkedin.com/in/ssafahi/), the team behind [Abel](https://www.tryabel.com/). Abel **answers complex questions across large legal records** made up of many different types of documents. Our mission is to empower attorneys to practice more efficiently, so they can extend representation to more people.\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/d582ce29-dab1-48c8-97ec-23438999b485)\n\n### **tl;dr**\n\n* Attorneys import documents from a variety of sources and formats (PDFs, emails, spreadsheets, docs).\n* Abel processes the documents and creates a structured representation of the information contained in them (we call these: “entities”). \n* Attorneys understand the facts with more speed and precision than was previously possible.\n\n### **Problem**\n\nMany legal practice areas - including litigation, M&A, and insurance - routinely deal with large document sets, and attorneys spend many hours reviewing those documents to get the information they need. \n\nIn an age of AI, law firm clients demand both increased efficiency and improved effectiveness. \n\nExisting technology solutions, like eDiscovery platforms, don’t help attorneys understand the information that exists inside the documents. They’re costly, cumbersome, and their search is difficult to use to pinpoint the relevant information. \n\nSo, attorneys rely on manual document review, which is even more costly, prone to human error, and difficult to get client budget buy-in.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=79318&key=user_uploads/363045/575e7b8c-4331-4a11-b51f-d83c1e0c2535)\n\nAbel allows attorneys to get the depth of manual review at the scale of technology. Attorneys import legal records of a variety of document formats, types, and sizes. \n\nAbel leverages our proprietary entity extraction to process the documents and uncover a structured representation of the information contained in them. Our extraction pipelines are flexible and can be customized to identify the relevant entities to our customers’ needs, which can include things like: \n\n* The people involved \n* Clauses in agreements \n* Relevant email threads\n* Key legal issues \n* Motions raised at trial\n* Key events that occurred\n\nAttorneys use Abel to explore the extracted entities and to examine the relationships between them. This allows us to answer more complex questions with more nuance than existing solutions.\n\n[View our demo.](https://youtu.be/USloYdiY6Pk)\n\n### **Our Asks**\n\n1. If you’re an attorney or responsible for law firm innovation, please reach out to [founders@tryabel.com](mailto:founders@tryabel.com). We’re offering premium onboarding for firms that sign up by May 10th, which includes deploying up to 5 custom entity extraction pipelines. \n2. If you’re on an in-house legal team, we’d love to talk about how we can support both you _and_ your outside counsel. \n3. Please share this post with your networks. Chances are that you know an attorney or two.",
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        "body": "Hi everyone,\n\nWe’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/), co-founders of **Clarum**.\n\nHere’s a short demo video showing how it works:\n\n📽 <https://youtu.be/absLLXBYswc>\n\n### **TL;DR**\n\n**Clarum is the AI associate for private equity due diligence and research.**\n\nClarum works directly with _Excel, Word, and PowerPoint_ to structure financials, extract deal terms, and analyze data—without requiring teams to change tools or workflows. Firms use Clarum to speed up deal evaluation, reduce errors, and improve risk visibility across their pipeline.\n\n### ❌ **The Problem**\n\nPrivate equity diligence is still manual—making it hard to assess risk quickly across large data rooms and short timelines.\n\nDespite growing deal volume and increasing data complexity, teams still rely on fragmented workflows across _Excel, Word, and PowerPoint_. It’s slow, repetitive, and difficult to scale—especially when consistency, speed, and accuracy are critical.\n\n### 🛠️ **Our Solution**\n\nClarum connects to your data and analyzes deal materials with _Excel, Word, and PowerPoint_, using AI to automate key parts of the diligence workflow. We tailor Clarum to your specific processes, so results appear in your familiar environment and formats — _no new tool to learn_.\n\nFirms use Clarum to:\n\n* 📄 **Generate screening memos**\n* 📊 **Build returns analyses and models**\n* 📈 **Create deep-dive slide decks**\n* 📉 **Reconcile income statements and chart financials**\n* 📚 **Summarize CIMs and legal documents**\n* 🚨 **Flag inconsistencies across files**\n* 📎 **Compare and benchmark deals**\n* 🗂️ **Categorize and summarize data room contents**\n\n_The result: faster deal cycles, cleaner outputs, and stronger confidence heading into IC—without changing how teams work today._\n\n---\n\n### **The Ask**\n\nIf you are or know:\n\n1. **Managing Partner / Head of Family Office** who believes AI and automation are critical for building long-term operational leverage.\n2. **Principal / Investment Director at a LMM PE firm or Family Office** looking to scale analytical output and automate diligence—without changing the tools the team already uses.\n3. **CIO / Head of Investments** exploring how AI can enhance risk assessment and portfolio insights without adding technical overhead.\n4. **VP / Senior Associate** aiming to reduce manual data work and focus more time on high-impact analysis.\n\nWe’d love to help.\n\n👉 [**Book a demo at clarum.ai**](https://clarum.ai/contact?utm_source=yc&utm_medium=launch&utm_campaign=launch-2)\n\n📬 You can also reach us directly at [contact@clarum.ai](mailto:contact@clarum.ai).\n\n![uploaded image](/media/?type=post&id=89583&key=user_uploads/1524877/8eb3444c-3a7b-4ef8-ac0d-421df1bb95d5)\n\nThanks for reading. Looking forward to connecting.",
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        "title": "Clarum: AI-powered due diligence",
        "tagline": "Clarum helps private equity firms close more deals by conducting accelerated and reliable due diligence.",
        "body": "Hey everyone! We’re [Anton](https://www.linkedin.com/in/antonotaner/) and [Tommy](https://www.linkedin.com/in/tommyhe6/) and we’re building [Clarum](https://clarum.ai/?utm_source=yc&utm_campaign=launch).\n\n**tldr;** Clarum helps private equity firms close more deals by conducting quicker due diligence with AI. For example, firms can import files from their data room to get answers to hundreds of questions in minutes. [Book a demo](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch) with us!\n\n### **Problem**\n\nDuring deal flow, due diligence is a significant challenge for investors due to the need to **quickly process large volumes of disorganized data within tight deadlines**. The mental and emotional toll is significant, especially when dealing with high-stakes transactions worth millions, where mistakes can cost jobs. Private equity firms risk losing deals or being outbid if they don't conduct due diligence efficiently enough. Finding information and answering questions should be quick, easy, and reliable.\n\n### **Clarum is here**\n\nClarum provides AI-powered due diligence solutions that enable fast, transparent, and reliable insights from your entire data repository, for more data-driven processes.\n\nUsing Clarum takes minutes to set up.\n\n1. Import your data from your VDR, shared drive, or local computer.\n2. Upload an existing due diligence questionnaire.\n3. Watch Clarum answer 100s of questions with full transparency in minutes.\n\nHere’s what Clarum can do:\n\n**Reliable and traceable answers -** Answer questions using your entire knowledge base, where every number or sentence is linked back to its source document for full traceability.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/df101c73-a679-4a78-8f56-395da9a45d46)\n\n**All your data in one place -** Quickly import data from various sources, including VDRs, shared drives, and local files.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/24f66946-a567-4d48-ad4f-d53235527346)\n\n**Quantifiable insights from qualitative data -** Answer hundreds of questions from due diligence questionnaires in minutes instead of weeks. Generate follow-up questions and RFIs from the missing information.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/e29484d8-8561-4f85-b647-0ad0d51796bb)\n\n**Find critical data -** Intelligently search for information from all your sources. Find a chart from a PDF, a table from a spreadsheet, or a critical number from a presentation.\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/75217982-44fa-4faf-938c-627d903b594b)\n\nAll of this leads to a quicker time-to-insight, giving PE firms using Clarum a competitive advantage.\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=79333&key=user_uploads/1524877/9d56a75e-8694-4e63-8cca-0a3168762c63)\n\nAnton Otaner and Tommy He met via a mutual friend at McGill University. They knew that they would be a great team after they won first place in their university’s hackathon and after many late nights working together.\n\nBefore Clarum, Anton was a blockchain engineer at Mint where he worked on scalable blockchain solutions to secure gated content. He enjoys tackling challenging situations; for instance, he ran 84 km in a snowstorm with a broken arm. Tommy worked on low-latency market connections and trade execution at Tower Research Capital. Before that, he worked on the private intersection of knowledge graphs at Optable, an ad-tech startup.\n\nTheir background is rooted in a tech-first approach, tightly coupled with finance. By constantly keeping up to date and working with the latest technologies, they are convinced that due diligence could be accelerated with AI.\n\n### **Our ask**\n\nWe are confident that we can accelerate your due diligence reliably using AI. If you know anyone working in private equity or wealth management who could benefit from Clarum, please [send them our way](https://mailto:anton@clarum.ai/).\n\nIf you are working in that industry, reach out to us at [contact@clarum.ai](mailto:contact@clarum.ai) or [book a call](https://clarum.ai/demo?utm_source=yc&utm_campaign=launch)!",
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        "full_name": "Oliver Jones",
        "title": "Founder/CEO",
        "founder_bio": "I am the CEO and co-founder of Manifold. Previously, I spent years in startup life at Convoy, learning firsthand about growing teams, pivoting and launching new products. Most importantly, learned a great deal about the logistics space and the problems that need to be solved there.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oliver-jones-936a0a58",
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      {
        "user_id": 383097,
        "full_name": "Andrew Huff",
        "title": "Founder/CTO",
        "founder_bio": "I am the CTO and co-founder of Manifold Freight.\n\nMost recently I worked as a software engineer and engineering manager at Convoy - a digital freight brokerage. Specifically working on tools to automate cumbersome freight logistics processes.",
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        "linkedin_url": "https://linkedin.com/in/andrew-huff-222b2a21",
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    "news": [
      {
        "title": "YC grad Manifold Freight raises $1.9M for trucking logistics software – GeekWire",
        "url": "https://www.geekwire.com/2024/yc-grad-manifold-freight-raises-1-9m-for-trucking-logistics-software/",
        "date": "May 20, 2024"
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    "launches": [
      {
        "id": 79276,
        "title": "🚛 Manifold - We get Carriers better Spot Freight & increase margins up to 30%",
        "tagline": "Aggregating loads from multiple brokers and shippers into one place.",
        "body": "**TL;DR** At [Manifold](https://www.manifoldfreight.com/?utm_source=yc&utm_medium=social_media&utm_campaign=yc_launch), we aggregate spot opportunities for carriers.\n\nHi, it's [Oliver](https://linkedin.com/in/oliver-jones-936a0a58) and [Andrew](https://linkedin.com/in/andrew-huff-222b2a21), the co-founders of Manifold. We were early engineers at Convoy (#12 and #50) and where there until the company was acquired by Flexport last Fall. Our broad and recent experience at Convoy has given us deep insights into the complexities of the freight industry. Manifold Freight is our response to simplifying a piece of the $800 billion freight industry. Our first target market is Asset Based Carriers - a radically underserved segment..\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/a0e2f5d7-5651-4bbd-8032-d0d267aed291)\n\n**The Underserved Large Asset-Based Carriers** 🚛\\\nOver the last decade, there has been a surge of tech investment into the freight industry (e.g., Convoy, Uber Freight) - but their focus has been maximizing the margin and capacity of smaller carriers (< 10 trucks). Medium to large Asset-Based Carriers, especially those operating with 50+ trucks, have seen minimal interest from tech despite representing more than \\~60% of the U.S. truckload capacity - roughly 2,600,000 trucks! ([data)](https://www.ooida.com/wp-content/uploads/2021/03/Trucking-Facts.pdf)\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/7b7c81c7-9724-4eba-adc4-bc4b21d048ab)\n\nNowhere is this more apparent than in the $100 billion spot freight market. Existing solutions don’t work well for medium and large Carriers. The spot freight market is fragmented across hundreds of load boards, thousands of brokers, and millions of shippers. For medium and large carriers, this fragmentation creates a logistical nightmare. Finding a single spot freight shipment requires a dispatcher to manually login, filter and compare each load against their fleet and availability. Sorting through thousands of emails, multiple load boards and making many time consuming phone calls.\n\nThe result? Dispatchers go the path of least resistance - large public load boards. They can’t take advantage of the much higher value, _shipper direct_ freight because it’s physically impossible to sort through them all every day. These public load boards take an 18-30% cut of the shipment price that otherwise could have gone to the carrier. For the average medium-sized carrier doing 50 spot loads a week, this represents almost $500,000 in lost yearly revenue (2,600 shipments x $700 × 24% = $462,280).\n\n**The Manifold Solution**\\\nManifold solves this problem by aggregating all available spot freight opportunities, including shipper direct spot freight, into one single dashboard. \n\nFinding and bidding on quality shipper direct freight is easier with Manifold than finding low quality loads on [DAT,](https://www.dat.com/) the current industry standard.\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/9b466bfc-653b-4a74-8947-999518a12251)\n\n**Asks**\\\nIf you have connections in the freight industry; whether they be Carriers, Brokers, or Shippers. Send them our way! We talk freight in our spare time and love it.",
        "url": "https://www.ycombinator.com/launches/Kce-manifold-we-get-carriers-better-spot-freight-increase-margins-up-to-30",
        "votes": 33,
        "created_at": "2024-03-11T20:45:43.953Z"
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    "id": 29401,
    "name": "Raindrop",
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    "website": "https://www.raindrop.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monitor your AI agents the right way.\r\n\r\nAI engineers use Raindrop to get alerts about silent failures in their AI agents.\r\n\r\nRaindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.",
    "one_liner": "Sentry for AI Agents",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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    "tags": [
      "B2B",
      "Monitoring",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/raindrop",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/raindrop.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/raindrop-ai",
    "x_url": "https://x.com/raindrop_ai",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 1668573,
        "full_name": "Zubin Koticha",
        "title": "Founder/CEO",
        "founder_bio": "Building Raindrop – Sentry for AI products.\n\nPrev. cofounder & CEO of Opyn (acq. Coinbase), the first and largest DeFi options platform, with $15 + billion volume.\n\nUC Berkeley",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zkoticha",
        "x_url": "https://twitter.com/snarkyzk",
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      },
      {
        "user_id": 309605,
        "full_name": "Alexis Gauba",
        "title": "Founder",
        "founder_bio": "Building Raindrop: Sentry for AI agents. \n\nPreviously Co-Founder at Opyn (acquired by Coinbase), the first and largest DeFi options platform ($15b+ volume), inventing a new financial asset class known as the power perpetual (an option that has no expiry). Dropped out of UC Berkeley EECS",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alexisgauba",
        "x_url": "https://twitter.com/AlexisGauba",
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        "user_id": 1522257,
        "full_name": "Ben Hylak",
        "title": "Founder",
        "founder_bio": "building raindrop (sentry for ai products)\n\nI was previously on the Human Interface team at Apple for 4 years, building out visionOS. \n\nbefore that, dabbled with robotics + avionics",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benhylak",
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        "id": 65649,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/3rxDvcR-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Python",
          "TypeScript",
          "Torch/PyTorch",
          "Prompt Engineering"
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      {
        "id": 86079,
        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/ogWQ7fP-backend-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "TypeScript"
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      {
        "id": 86080,
        "title": "ML Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/XJQYwdR-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
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          "TypeScript",
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        "id": 86172,
        "title": "Developer Experience Engineer",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/a4Vqw1I-developer-experience-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 92605,
        "title": "Founding Recruiter",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/EA7fuNw-founding-recruiter",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
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        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 97728,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/jYbAqIG-forward-deployed-engineer-fde",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$130K - $200K",
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        "experience": "3+ years",
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        "id": 102883,
        "title": "Account Executive",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/bSz5bJR-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.08% - 0.22%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 103341,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/raindrop/jobs/7vLpHZX-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $110K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Building the Safety Layer for AI Agents",
        "url": "https://www.youtube.com/watch?v=5XO7ZEOGpJc",
        "date": "Sep 17, 2026"
      },
      {
        "title": "Raindrop raises $35M to monitor agents",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/09/16/raindrop-crv-lightspeed-datadog",
        "date": "Sep 16, 2026"
      },
      {
        "title": "Want to Know Why Your AI Agent Failed? There’s AI for That.",
        "url": "https://www.wsj.com/articles/want-to-know-why-your-ai-agent-failed-theres-ai-for-that-97a680be?gaa_at=eafs&gaa_n=AWEtsqdVmkMV2k7Sr_6KuR-BriI6nYI0WCuGV3kEnBFT-4QtLWIlapfZirpiHmgMeZ0%3D&gaa_ts=692e0171&gaa_sig=Xz1Zn2-He_brIjMQ9KK2JJUefbMrCjyW_AxqdIaMiylie5nJ5y12wKpTKjezNNlZrwKLcfsPZqocvU0KWcOtZw%3D%3D",
        "date": "Dec 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 91457,
        "title": "Raindrop Deep Search",
        "tagline": "Deep Research for your Production AI Data",
        "body": "https://www.youtube.com/watch?v=pN82WxN-_G0\n\nToday, we're excited to launch Raindrop Deep Search\n\nIt’s like Deep Research for your Production AI Data\n\nSearch for anything, and Raindrop automatically trains little models to accurately classify any topic or issue, across millions of events.\n\n𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺\n\nWe’ve heard from thousands of AI engineers and they’re struggling to track issues with their agents.\n\nImagine a user reports a problem: your agent is saying it can’t search the web for documentation. You need to know if this is a one-off problem or a much bigger issue… but how? Keyword search, or even semantic search, doesn’t tell the full story.\n\n𝗖𝗮𝗻’𝘁 𝘄𝗲 𝗷𝘂𝘀𝘁 𝘂𝘀𝗲 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝘃𝗮𝗹𝘀?\n\nOffline evals work well as unit tests. But since they’re running on preset data, you have no visibility into what’s actually happening in production.\n\nOnline evals just run these unit tests on a tiny sample of production data, leaving you blind to how widespread problems are.\n\n𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗥𝗮𝗶𝗻𝗱𝗿𝗼𝗽 𝗗𝗲𝗲𝗽 𝗦𝗲𝗮𝗿𝗰𝗵\n\nThat’s why we built Deep Search. It’s like Deep Research for your production data.\n\nHow Deep Search works:\n\n1\\. Describe the issue (eg. agent failing to search the web)\n\n2\\. Deep Search finds examples out of millions of events\n\n3\\. Refine search with feedback\n\n4\\. Start tracking the issue\n\nDeep Search runs across all of your production data to give you an accurate metric of issue frequency.\n\nTraditional classification systems require humans to manually label thousands of data points. So to achieve this, Raindrop Deep Search introduces a new research breakthrough, bespoke few-shot classifiers, which only need a few examples.\n\nIt’s essentially bootstrapping weaker systems from stronger systems, ultimately training custom small models that analyze millions of events a day. You can think of it like creating materialized views for natural language.\n\nOnce you start tracking the issue you can use Raindrop to dive into traces and tool calls to find the root cause. And you can quickly confirm whether your fixes are effective by monitoring issue frequency and receiving real-time Slack alerts.\n\nYou can try out Deep Search at [raindrop.ai](http://raindrop.ai). \n\nWe’re excited to hear what you think!\n\n![uploaded image](/media/?type=post&id=91457&key=user_uploads/309605/b1eda0eb-8816-487f-a4f3-36bdaf02bb0b)\n\n",
        "url": "https://www.ycombinator.com/launches/Nn7-raindrop-deep-search",
        "votes": 10,
        "created_at": "2025-06-19T21:08:03.825Z"
      },
      {
        "id": 89925,
        "title": "Raindrop - Sentry for AI Products",
        "tagline": " AI engineers use Raindrop to get alerts about hidden issues and wins in their AI products.",
        "body": "[https://youtu.be/IS7akU_3AnI](https://youtu.be/IS7akU_3AnI?feature=shared)\n\nAl products fail constantly—in ways both hilarious and terrifying.\n\nMeet **Raindrop**: the first Sentry-like monitoring platform for Al products.\n\n**The Problem**\n\nRegular software throws exceptions. But Al products fail silently.\n\nThese issues can be serious:\n\n* [Figma had to roll back their AI design product when it copied Apple’s designs, and they haven’t relaunched since](https://techcrunch.com/2024/07/02/figma-disables-its-ai-design-feature-that-appeared-to-be-ripping-off-apples-weather-app/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAM5aRTBjXhPXfaoMBpoQxL9si-7R3qfaTR4r-n_mdzKu31uB6rUYGjE31z0H4aHVY1LlchyZ7r76Pufga45IMGKwFz0IxZ7eo-g2z1sYsta94AVsSj5CYjf6NKRd3m43VgSGLrG_IfdqMKtlFDuBvimRfLyF_aqb19vPgl-8B7eD)\n* [Air Canada got sued — and lost — when their chatbot incorrectly offered a customer a refund](https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/)\n* [Virgin Money came under fire when their chatbot scolded customers for using the company name, ‘Virgin’](https://www.latintimes.com/virgin-money-forced-apologize-after-chatbot-threatens-cut-off-bank-customers-who-use-word-573885#:\\~:text=Fintech%20commentator%20David%20Birch%20shared,reported%20by%20the%20Financial%20Times)\n\nDon’t make the same mistake.\n\nThe current status quo is sifting through millions of logs and trying debug flaky evals. Evals are straightforward - like unit tests, they confirm your model got specific test cases right. But in the real world AI chatbots and agents encounter millions of unpredictable actions. AI companies need powerful monitoring to discover production issues so they can create reliable AI products that don’t just pass tests, but genuinely resonate with users.\n\n**Solution**\n\nRaindrop sends you alerts when your AI misbehaves and links straight to the events, so you can dig into the conversations or traces, understand the root cause, and fix it, fast.\n\nDaily Alerts Include\n\n* **Issues**: detects issues like Assistant Forgetting, Laziness, Task Failure, User Frustration, and more depending on the type of app\n* **Wins**: surfaces what your product does well, so you can double down on those experiences and create evals\n\nThe Pro tier lets you go even further with:\n\n* **Custom Issues / Topics**: define and track any issue or topic\n* **Topic Clustering**: clusters data in real time to find your AI product’s most popular use cases, and what use cases have the most issues\n* **Signals**: finds patterns in explicit signals like thumbs up / thumbs down\n* **Deep Research:** deep research for your production data, letting you use natural language to search for any kind of behavior\n* **Traces**: track every step of your AI call\n* **Edge PII Redaction**: intelligently strip PII from any user and model messages\n* **Dataset Creation**: create custom datasets out of any set of events\n\nCompanies like [Clay.com](http://Clay.com), Tolans, Websim, and more have been using Raindrop to improve their AI products. They’ve been able to quickly iterate on fixes, see how issue incidence rates decrease in production, and confidently ship changes.\n\n“Raindrop has been invaluable as we've been growing quickly. It's critical for us to keep issue incidence below an acceptable threshold and become aware of any spikes. **It's like if we see an iOS crash report in Sentry, but for our AI capabilities.”** -Evan Goldschmidt, CTO Tolans\n\nLearn more about how Tolan uses Dawn [here](https://www.raindrop.ai/case-studies/tolans), and check out case studies with [New Computer](https://www.raindrop.ai/case-studies/new-computer) and [Unstuck AI](https://www.raindrop.ai/case-studies/unstuck).\n\nYou can get started [here](https://www.raindrop.ai), excited to hear what you think :)\n\n![uploaded image](/media/?type=post&id=89925&key=user_uploads/309605/d77c5ea9-2b73-4455-96a6-db02c319651c)\n\n",
        "url": "https://www.ycombinator.com/launches/NOP-raindrop-sentry-for-ai-products",
        "votes": 11,
        "created_at": "2025-04-28T20:25:57.382Z"
      },
      {
        "id": 79667,
        "title": "Dawn - Analytics for AI products",
        "tagline": "We transform user requests and model outputs into metrics you actually care about.",
        "body": "Hey everyone!\\\n\\\nI’m [Zubin](https://twitter.com/snarkyzk), from dawn. Excited to share what we’ve (me, [Ben](https://twitter.com/benhylak), & [Alexis](https://twitter.com/alexisgauba)) been building.\n\n[Dawn](https://www.dawnai.com/) is analytics for AI products. We transform user inputs and model outputs into metrics you care about, letting you make meaning out of billions of tokens.\n\n**AI Companies love us for**\n\n* User Segmentation: automatically group users by behavior\n* Understanding Churn: see how requests (or responses) cause users to churn\n* Categorizing Search Requests: tag user requests + use categories in-app\n* Content Moderation: identify + remove harmful content\n* Flagging Bad Responses: track user requests that are vague, don’t match the source language, or anything else\n* Track any use case: discover categories from unstructured data\n\n_(It's not just for Al companies. Dawn can categorize just about anything! — _[_contact us_](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3)_ to chat)_\n\n**How it Works**\n\n1. **3 lines to integrate:** with one line of code, you can start sending user data from your app to dawn (and even get back categorizations!)\n2. **Define categories:** Dawn automatically discovers categories from your raw data. You can also define your own. You can delete, edit, reorganize, and create new categories at any time.\n3. **Self-improving, on the fly:** Dawn constantly gets better at understanding your data.  A simple feedback interface gives your team visibility and control over categorization.\n4. **Connects to your existing analytics:** we have plugins for Snowflake, Mixpanel, Slack, Amplitude, and more -- so you can track whatever you want, wherever you want.\n\n\\*\\*What early users say about us:\\*\\*\\\n“I’m feeling a total a-ha moment with this. Truly cool to see.” - Gabriel Birnbaum, Can of Soup\\\n\\\n**Let’s work together**\\\nReach out at [zk@dawnai.com](mailto:zk@dawnai.com), or sign up for a demo [here](https://wv6y9hc66q4.typeform.com/to/qHmrVeA3). We’d love to hear from you!\n\n![uploaded image](/media/?type=post&id=79667&key=user_uploads/1668573/86bc4a34-fc8f-469a-9d07-de695eb11bc3)\n\n",
        "url": "https://www.ycombinator.com/launches/Kix-dawn-analytics-for-ai-products",
        "votes": 21,
        "created_at": "2024-03-25T15:28:55.097Z"
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    "id": 29405,
    "name": "Risotto",
    "slug": "risotto",
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    "website": "https://tryrisotto.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Want to apply AI to your IT Helpdesk queue? Risotto helps you grant software access, limit access/permission grants by time, serve knowledge, and get approvals from people like managers. All using natural language directly in chat (AKA \"ChatOps\")\r\n\r\nIT teams spend too much time manually provisioning software and answering the same question repeatedly. We help them improve resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support. Check us out at: https://www.tryrisotto.com",
    "one_liner": "Risotto auto-solves IT support requests using AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1709248167,
    "tags": [
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      "Compliance",
      "Security",
      "Enterprise",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/risotto",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/risotto.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryrisotto/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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      {
        "user_id": 607082,
        "full_name": "Aron Solberg",
        "title": "Founder",
        "founder_bio": "Aron is the founder and CEO of Risotto. When not working on his company he enjoys getting outdoors at every opportunity including hiking, skiing, and sailing. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aronsolberg",
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        "user_id": 1380843,
        "full_name": "Alex Confer",
        "title": "Founder",
        "founder_bio": "Co-founder of Risotto! Formerly Hellosign, Dropbox, Gusto. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aconfer",
        "x_url": "https://twitter.com/aconfer",
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      {
        "user_id": 784345,
        "full_name": "Chris Paul",
        "title": "Founder",
        "founder_bio": "CTO and co-founder of Risotto. Formerly engineer and lead at HelloSign (YC11), interviewing.io, and Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cmpaul/",
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      {
        "id": 78931,
        "title": "Risotto: The new AI-enabled IT help desk in Slack",
        "tagline": "Turn any Slack Channel into an automated IT help desk in 60 seconds ",
        "body": "# **🏆** Tl;dr:\n\n[Risotto](https://www.tryrisotto.com) automatically solves IT support tickets using AI. We help IT teams improve their resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support, all directly in Slack.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/1932cf98-d844-41b5-83f3-210c96b453a6)\n\n# Meet the Team\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/e5b07a88-94f0-402e-bb58-8330605a7cec)\n\n[Aron](https://www.linkedin.com/in/aronsolberg/), [Alex](https://www.linkedin.com/in/aconfer/), and [Chris](https://www.linkedin.com/in/cmpaul/) met almost 10 years ago at HelloSign (YC11) as early employees.\n\n* Alex led the HelloSign IT team through the acquisition by Dropbox and later led IT engineering at Gusto.\n* Chris has a 25-year history as a software engineer and leader, most recently at Square.\n* Aron was also an early engineer at HelloSign before he shifted into Product Management, and later served as a Director of PM at Dropbox, and a PM lead in ML at Grammarly\n\nCollectively they have over 30 years of experience in enterprise B2B SaaS software. The team says they’re “excited to be building the IT product Alex always wanted, but has never been able to find.”\n\nCheck out automated 24/7 IT support with Risotto! ⬇️ ⬇️ ⬇️\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/8345b5cd-5e3e-4cf5-acd9-0054766f9de5)\n\n_Risotto learns the answers to common questions for automated 24/7 resolutions_\n\n# **❌** The Problem\n\n🕒 IT teams spend too much time manually provisioning software and answering the same question repeatedly\n\n💸 Manually provisioning SaaS accounts inflates license costs because there’s a tendency to over-provision\n\n🦹 Security suffers as software accounts proliferate\n\n😫 Quarterly user access reviews for SOC 2 compliance add additional overhead for IT to manage\n\nThese types of problems are a waste of time for people to solve but are perfect for automation. One of our co-founders [Alex](https://www.linkedin.com/in/aconfer/) saw this play out constantly while running IT at Gusto and Dropbox which inspired us to do something about it!\n\n# **📈** The Solution\n\n<https://youtu.be/yOiDQEExDVE>\n\n_Turn any Slack Channel into an automated IT help desk in 60 seconds_\n\nOut-of-the-box Risotto integrates with Slack, and IDPs like Okta to manage software groups and provide three major feature pillars to make IT teams awesome\n\n### “ChatOps” Helpdesk in Slack\n\nRisotto turns any Slack channel into a 24/7 automated help desk in 60 seconds. Embrace “ChatOps” to minimize context switching for employees and IT. All chat threads are backed by a digital ticket with control handled through natural language and emojis.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eaba27d2-ab79-4029-9592-b13b31df8ffc)\n\n_You’ll love seeing the green check marks pile up as Risotto solves tickets right in front of your eyes_\n\n### Automated Software Access Management\n\nGain the benefits of software **approvals** and **time-based access** with our powerful access rules engine. All these rules can be configured per department to ensure everyone gets the right level of access.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/24a9a446-eba6-40ba-855e-6edb25d1fab7)\n\n_Time-based access is a piece of cake with Risotto_\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/3664b78b-717a-4b99-9b4b-a910579eb3fc)\n\n_Get important and expensive software approved to ensure it’s really needed_\n\n### Streamlined User Access Reviews\n\nYour SOC 2 quarterly access reviews will fly by with Risotto. We offer easy tracking and review of software to ensure you always keep tabs on who has access and why\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/dd5f3249-8166-4c99-80ba-87e6065a6c3e)\n\n### Risotto’s benefits\n\n📈 Risotto improves the key metrics that IT teams care about, such as time-to-resolution (TTR), time-to-first-response (TTFR), and employee satisfaction ratings\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eb256bc0-2e46-4265-bb61-4370cca79cf2)\n\nRisotto also provides numerous other benefits including:\n\n1️⃣ A unified IT support funnel to reduce context-switching\n\n⏩ Faster resolutions\n\n💰 Lower SaaS costs with on-demand provisioning\n\n🔐 Better security with timed access, and swift compliance reviews\n\n# Learn More and Try out Risotto\n\nWork in IT and want to try our Risotto? Reach out we’d love to talk! We think the future of IT support is conversational, and AI can help.\n\n* Email us at [founders@tryrisotto.com](mailto:founders@tryrisotto.com)\n* Schedule time directly via [Calendly](https://calendly.com/d/32r-55q-4d7)\n* Visit our [website](https://www.tryrisotto.com) and use our contact form\n\nWe love talking about modern IT challenges and we can often provide advice and best practices for navigating sticky problems!",
        "url": "https://www.ycombinator.com/launches/KX5-risotto-the-new-ai-enabled-it-help-desk-in-slack",
        "votes": 152,
        "created_at": "2024-03-01T01:03:31.109Z"
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    "id": 29409,
    "name": "BetterBasket",
    "slug": "betterbasket",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.png",
    "website": "http://www.betterbasket.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ",
    "one_liner": "Smart grocery pricing with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1706153675,
    "tags": [
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      "Food & Beverage",
      "Retail",
      "AI"
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    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/betterbasket",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/betterbasket.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/98110558",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1227729,
        "full_name": "Leon Zhang",
        "title": "Founder/CEO",
        "founder_bio": "BetterBasket CEO; ex-Uber Eats, PIMCO, Wharton MBA dropout and UChicago BS '17",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/leon-zhang-850772b3",
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      {
        "user_id": 1643805,
        "full_name": "Vagelis Viskadouros",
        "title": "Founder/CTO",
        "founder_bio": "BetterBasket Founder, ex-Uber Eats Data Scientist, Ecole Polytechnique MSc in Data Science for Business",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/viskadouros",
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      {
        "id": 68593,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/wsZC1jR-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $160K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "JavaScript",
          "Python",
          "SQL"
        ]
      },
      {
        "id": 93356,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/betterbasket/jobs/VizvMJh-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
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    "news": [
      {
        "title": "FMI Midwinter 2026: AI and collaboration take center stage - SmartBrief",
        "url": "https://www.smartbrief.com/original/fmi-midwinter-2026-ai-and-collaboration-take-center-stage",
        "date": "Jan 24, 2026"
      },
      {
        "title": "Delving Into ‘The Next Now’ at NRF 2026: Retail’s Big Show | Progressive Grocer",
        "url": "https://progressivegrocer.com/delving-next-now-nrf-2026-retails-big-show",
        "date": "Jan 17, 2026"
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      {
        "id": 78622,
        "title": "BetterBasket - Pricing for Grocers",
        "tagline": "The first end to end pricing and assortment solution for grocery stores",
        "body": "TLDR; 95% of American consumers are changing their grocery shopping habits because of volatile prices, and the $800bn grocery industry must adapt. [**_BetterBasket_**](http://betterbasket.ai/) provides an end-to-end solution for merchandising teams at grocery stores to help with pricing and product assortment.\n\n### **🍌 Problem**\n\nGrocers and food & beverage brands need data-driven recommendations more than ever because of…\n\n* Macro impacts from **price volatility**,\n* customer pull for **more localized selection**,\n* and **shrinking pricing zones** as local supply chains get impacted.\n\nEven for established enterprises, analyzing data across hundreds of thousands of SKUs (“apples-to-apples” comparisons), daily price movements, and multiple margin targets, while balancing sell-through, profitability, and customer satisfaction (especially at a time when many are being accused of “greedflation”) is an impossible task.\n\nCurrent solutions are to:\n\n* Make decisions **without data**,\n* Use a labor-intensive method such as **mystery shoppers,** or\n* Get by with tools that neither **raise the level of sophistication** that managers can operate at **nor saves them time.**\n\n### **🍎 Solution**\n\nBetterBasket is an end-to-end solution for merchandising, encompassing (1) competitive data, (2) visualizations, and (3) recommendations.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/a16ebfbb-5ee5-48f3-b7e0-29b88e01d8ef)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/366f91f7-931d-4810-8295-5b4cfdef020d)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/9e0f42fe-3368-429d-bf40-afea42be9af0)\n\n### **🧺 How it Works**\n\nWe scrape websites and flyers for in-store and online pricing and product info. Our matching algorithm then uses a combination of natural language processing and computer vision methods to create a centralized product repository across merchants, geographies, and categories that describes the items and the relationships between them.\n\nThis database allows us to give customers up-to-date and accurate competitive information on the products that they and their competitors are carrying. This includes but is not limited to historical price changes, geographical pricing (zone maps), and Venn diagrams showcasing item overlap.\n\nOur pricing and assortment algorithms generate pricing recommendations (with the ability to automate pricing in online stores and physical stores that use digital price tags) as well as assortment recommendations (products to acquire or remove). Our algorithms use data from competitive intelligence, our customer’s unique strategies and targets, and external variables to achieve the optimal outcome based on current conditions.\n\n### **🍣 Why we started BetterBasket**\n\nVagelis and Leon worked together at Uber Eats, setting up the grocery delivery platform and notably launching our dark store footprint in Taiwan and Japan and scaling it to 20+ stores. As we built up a launch team with no retail DNA, we realized the need for merchandising analytics for pricing and procurement teams, especially with regards to competitive data.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/4c26d656-2098-496f-9f75-ce9293fc8ea3)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/670a85af-7780-458a-9731-6dd53bbbd179)\n\n### **🍴 The Ask**\n\nIf you know of any grocery chains or food and beverage brands that need help with pricing or product assortment decision-making or are willing to talk about their most pressing issues, let us know! We’re at [**founders@betterbasket.ai**](mailto:founders@betterbasket.ai) and would love to learn more about their needs.",
        "url": "https://www.ycombinator.com/launches/KS6-betterbasket-pricing-for-grocers",
        "votes": 49,
        "created_at": "2024-02-21T21:02:52.062Z"
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    "id": 29410,
    "name": "Model ML",
    "slug": "model-ml",
    "former_names": [
      "Model AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9534078fe1346cc9c5c1cef87076db8b67768589.png",
    "website": "https://www.modelml.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Team:\r\nChaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales \r\nArns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product. ",
    "one_liner": "The AI for Financial Services.",
    "team_size": 180,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1700480676,
    "tags": [
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      "Finance",
      "B2B",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2024",
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    "stage": "Growth",
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      {
        "user_id": 489419,
        "full_name": "Arnie Englander",
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        "founder_bio": "2x YC founder. \nFancy (S20) - Acquired by Gopuff.\nModelML (W24).\nLove building cool stuff.",
        "is_active": true,
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      {
        "id": 66740,
        "title": "Product Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/lrPAkoP-product-growth",
        "location": "New York, NY, US / Remote (London, England, GB)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$70K - $130K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 67842,
        "title": "Growth",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/NgPldYS-growth",
        "location": "SG / HK / IN / US / Remote (SG; HK; IN; US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "Will sponsor",
        "skills": []
      },
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        "id": 68048,
        "title": "Operations",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/LcaMAjR-operations",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$35K - $50K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 77750,
        "title": "Marketing Lead",
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        "location": "London, England, GB",
        "type": "Full-time",
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        "salary_range": "$80K - $130K",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
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      },
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        "id": 78535,
        "title": "Design Lead",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/ytdt6bA-design-lead",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Design",
        "role_type": "UI / UX",
        "salary_range": "$80K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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        "id": 80697,
        "title": "Brand Designer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/eUv5TT2-brand-designer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $120K",
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        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 80698,
        "title": "Content Strategist",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/UuAVi50-content-strategist",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 85540,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/vRcObwO-full-stack-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$80K - $140K",
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        "id": 85541,
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        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "id": 85542,
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        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$80K - $140K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 85543,
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        "url": "https://www.ycombinator.com/companies/model-ml/jobs/XvpJIP5-senior-backend-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
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        "equity_range": "",
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        "visa": "US citizen/visa only",
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        "title": "Full Stack Data Scientist",
        "url": "https://www.ycombinator.com/companies/model-ml/jobs/oX7ZeFH-full-stack-data-scientist",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$100K - $160K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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        "location": "New York, NY, US",
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        "title": "AI Startup Model ML Raises $75 Million to Take Junior Bankers’ Grunt Work - Bloomberg",
        "url": "https://www.bloomberg.com/news/articles/2025-11-24/ai-startup-raises-75-million-to-take-junior-bankers-grunt-work",
        "date": "Nov 24, 2025"
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        "title": "Y-Combinator-backed Model ML emerges from stealth with $12M funding - Tech.eu",
        "url": "https://tech.eu/2025/02/07/model-ml-emerges-from-stealth-with-12m-funding/",
        "date": "Feb 07, 2025"
      },
      {
        "title": "Exclusive: Model ML, a financial research startup automating Wall Street’s grunt work, emerges from stealth  | Fortune",
        "url": "https://fortune.com/2025/02/06/model-ml-funding-research-due-dilligence/",
        "date": "Feb 06, 2025"
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    "regions": [
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    "city": "San Francisco",
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        "full_name": "Gokhan Egri",
        "title": "Founder",
        "founder_bio": "Freeing up your company's workforce by automating repetitive data tasks at Brainbase (W24).\n\nPreviously Co-founder and CEO at Leo (AI grader), Harvard CS PhD (dropped-out).",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/brainbase-labs/jobs/aslqKqO-founding-engineer",
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        "title": "Founding Growth",
        "url": "https://www.ycombinator.com/companies/brainbase-labs/jobs/XUPFMWx-founding-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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    "launches": [
      {
        "id": 80202,
        "title": "Brainbase - Build your own AI workforce",
        "tagline": "Build enterprise-grade AI workers for your business",
        "body": "### TLDR\n\n_Brainbase is to AI workers what Retool is to internal tools._\n\nVery soon every company will need to have an AI workforce working alongside their human team. Brainbase is the only platform that lets your business create its own enterprise-grade AI workers. Everyone from government agencies to SMBs is choosing us to create workers that do everything from outbound sales calls to customer support.\n\nIf your company already has workflows that you want to automate or just want to explore our 100+ templates, [**schedule a demo**](https://calendly.com/usebrainbase/demo) or [**get on our waitlist**](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform)!\n\n![uploaded image](/media/?type=post&id=80202&key=user_uploads/89898/eab30f63-2964-4b23-a44a-9b4d731b2629)\n\n### Intro\n\nHey, [Gokhan](https://www.linkedin.com/in/gokhan-egri/) here! I dropped out of my Machine Learning PhD at Harvard to build Brainbase. **So far, it’s been the best choice ever!** Previously I started another AI company and built over 15 apps that got more than 50K downloads.\n\n### Problem\n\nMost business workflows are very repetitive with easily automatable tasks, yet they cost the average business **70% of their workforce** every year. That’s **every 2 out of 3 hires** doing repetitive work day in and day out 🤯\n\nWhen businesses try to automate these workflows using one of the hundreds of AI automation tools out there, they quickly see that these tools are either **unreliable, difficult to set up** or **simply not powerful enough for business tasks.**\n\n### Solution\n\nAt [Brainbase](https://www.loom.com/share/d6b05fe8d5a4455f983e92c919998cdd?sid=7b2f0f3f-e38c-4cff-9970-b932b9d787af) we let you build industry-grade AI workers that are _designed_ to handle complex enterprise workflows unique to your business.\n\nUnlike our competitors, Brainbase’s workers are:\n\n* **Unique to your business:** No two employees at two different companies are the exact same. We let you build unique workers for your business’s unique requirements\n* **24/7:** Our workers work non-stop so they can delight your customers continuously\n* **10x cheaper:** Our AI workers are 1/10th the cost of hiring another employee, with the same performance\n* **Easy to set up:** Start in less than a day with one of our 100+ templates for the most common Sales, HR, and customer support workers\n* **Easier to customize:** We built the best tools — code and no code — to build your workers to your business’s exact needs\n\nSo far, our customers have built:\n\n* **Government call centers** responding to 100s of calls a day\n* **Resume reviewers** that review 1000s of documents in minutes\n* **Automated support reps** that respond to customer requests in seconds\n* and more…\n\nStart with one of our [100+ templates](https://docs.google.com/forms/d/e/1FAIpQLSdOpDWM6faDDH8vkDhBYVFij6kGqeK5NQZmRkOiXU8q-s149w/viewform) for end-to-end Sales, HR, or Customer Support workers, invite your team, customize to perfection, and start seeing results in less than a week.\n\n### ASK\n\n1. **Is your business currently hiring for a non-technical position? Let’s see if you can get away with an AI worker instead!** [Schedule a demo](https://calendly.com/usebrainbase/demo) to see what’s possible with Brainbase.\n2. **Do you have ideas for business workflows you want automated?** Reach out to [gokhan@usebrainbase.xyz](mailto:gokhan@usebrainbase.xyz), I’d love to have a chat!\n3. **Like, share, and tell your friends!:** It would mean a lot!\n\n❤️ _Thank you for taking the time to read through this. We’d love to hear your thoughts about what we’re building._\n\nBonus: [Check out](https://www.loom.com/share/b1fed8a9666647faa6128989a1e263a0?sid=093045e2-f598-449b-938a-4ce7bf130a1a) how we spun up a worker to handle OpenAI’s entire Slack support system from scratch in **less than 5 minutes**.",
        "url": "https://www.ycombinator.com/launches/Kra-brainbase-build-your-own-ai-workforce",
        "votes": 31,
        "created_at": "2024-04-15T23:52:39.137Z"
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    "id": 29419,
    "name": "Lumetric",
    "slug": "lumetric",
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      "Tredit IQ",
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    "website": "https://www.lumetric.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An AI coworker for business professionals that actually does the work. Models, decks, data cleanup, and more.",
    "one_liner": "The AI Analyst For Deal Teams",
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    "industry": "B2B",
    "subindustry": "B2B",
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    "nonprofit": false,
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        "is_active": true,
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        "title": "Founder/CTO",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/davispalmie",
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      {
        "id": 78911,
        "title": "🎙️ PocketPod - AI-generated podcasts tailored to your interests",
        "tagline": "We allow people to consume any information in a familiar podcast format",
        "body": "# **TL;DR**\n\n[**PocketPod**](https://news.pocketpod.app/) creates AI-generated podcasts tailored to your interests. Whether it's a daily news update or a deep dive into a specific topic, we allow people to consume information in a familiar podcast format. To start, we are creating fully personalized news podcasts delivered right to your Spotify every day.\n\n[Example](https://www.youtube.com/watch?v=lyGZMiLgk9Q)\n\nSign up [**here**](https://news.pocketpod.app/) to get your very own daily news podcast tailored to your interests!\n\n# **😣 What’s the problem?**\n\n**There is a ton of information** widely available, in diverse formats, that was previously not feasible to have delivered via podcast-style audio\n\n**Human creators face inherent limitations** in the volume of information they can turn into high-quality content\n\n# **🎙️ The Solution - PocketPod**\n\n\\- Advances in LLMs and data processing allow us to comb through incredible amounts of information, aggregate, and process what’s important to you, and transform it into engaging new podcast formats.\n\n\\- Combined with advancements in text-to-speech models and it’s now possible to give everyone podcasts made just for them, on the information they care about.\n\n\\- Seamless integration with existing platforms, like Spotify, ensures quick, easily accessible, and personalized distribution\n\n# **Meet the Team**\n\n[**Davis Palmie**](https://linkedin.com/in/davispalmie) and [**Ross Cefalu**](https://linkedin.com/in/rcefalu) met freshman year at Georgia Tech. Ross was one of the first ten engineering hires at Flock Safety (YC17), and then worked at Microsoft, rebuilding the app launching experience used by 150M DAUs. Davis worked on Visa’s Next Generation Services team and also built the pioneering innovation lab tech team for a billion-dollar consulting firm.\n\n![uploaded image](/media/?type=post&id=78911&key=user_uploads/1318752/ceb17713-c244-4654-9b49-cd129b951b51)\n\n# **Our Ask: Try us out!**\n\nSign up [**here**](https://news.pocketpod.app/) to get your very own daily news podcast tailored to your interests!",
        "url": "https://www.ycombinator.com/launches/KWl-pocketpod-ai-generated-podcasts-tailored-to-your-interests",
        "votes": 36,
        "created_at": "2024-02-29T19:14:38.244Z"
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    "id": 29421,
    "name": "Thorntale",
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    "website": "https://thorntale.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Thorntale is the easiest (and prettiest) way to create your next presentation. We've built a super capable AI assistant that can directly edit your slides, and coupled it with an advanced slide design system to keep things beautiful and professional.\r\nThorntale AI is designed to work alongside you as an AI collaborator. It can modify slide design and content, as well as give suggestions on what to improve to make your points clearer for your audience. We've also built tons of enterprise level features into Thorntale, like integrated data connections and send as email.",
    "one_liner": "The world's best presentation editor, powered by AI.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1709017712,
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      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
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    "batch": "Winter 2024",
    "status": "Inactive",
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      "America / Canada"
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        "user_id": 1490574,
        "full_name": "Dori Wilson",
        "title": "Founder",
        "founder_bio": "Product-focused Data Scientist turned CEO & Co-founder of thorntale. I've analyzed and presented data at the SF Fed, Uber, CircleCi, Mux and Pave. At Mux and Pave I was hired to build out their product analytics functions. I know what established data science organizations look like at large institutions and enjoyed building toward that at smaller companies.",
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        "full_name": "Ellen Hui",
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        "linkedin_url": "https://linkedin.com/in/john-h-stimac",
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      {
        "id": 78798,
        "title": "📈 thorntale - Presentation software built for data storytelling",
        "tagline": "Empowering our users to be better data storytellers and make more informed decisions.",
        "body": "**_TL;DR:_** We’re building software that makes it fast and easy to create persuasive decks with your data. Thorntale connects live to any data source, so you always have pretty, interactive, and up-to-date charts. Our opinionated templates are made explicitly for product, data, and engineering teams, so you don’t have to start from scratch. [**_Try the beta here!_**](https://www.thorntale.com/?utm_source=yc_launch_page&utm_medium=yc_launch_post&utm_campaign=launch_day&utm_id=01&utm_content=top_link)\\\n\\\nHey y’all, we’re Dori, Ellen, and John, the team behind [thorntale.](https://www.thorntale.com/?utm_source=yc_launch_page&utm_medium=yc_launch_post&utm_campaign=launch_day&utm_id=01&utm_content=top_link) We’re building the software we wish we had in our pre-founder days.\n\n# \n\n# **❌ The Problem: Communicating data is hard. Current tools make it harder.**\n\nCompanies invest heavily in data teams and advanced tooling but still struggle to incorporate their work into decision-making. We believe this is due to where these findings get communicated: the presentation. Existing presentation tools do not integrate with the rest of the data stack, so instead people screenshot charts and copy-paste tables into their decks. This creates situations where data is miscommunicated, missing, or inaccurate. \n\n# 🌟 **Our Solution: Presentation software that integrates with your data stack.**\n\nBy connecting live data to your presentations and starting from professionally curated templates, presentations in thorntale aren’t just pretty, they’re functional. We create charts in-app that match your presentation’s theme, so you can focus on telling a persuasive story instead of formatting. Using thorntale, you’ll save time and make better business decisions. \n\n![uploaded image](/media/?type=post&id=78798&key=user_uploads/1490574/f3af5be2-75bf-46ff-9ba4-056c065197cb)\n\n# 🧩 **Who We Are**\n\n![uploaded image](/media/?type=post&id=78798&key=user_uploads/1490574/528f12a3-8f5e-40b0-acfc-1ce5f838135a)\n\nfrom left to right:\n\n[**Ellen**](https://linkedin.com/in/ellenfkh)**:** Backend & Infrastructure. Previously big data at Microsoft, SRE at Cruise, distributed systems, and real-time video at Mux.\n\n[**John**](https://linkedin.com/in/john-h-stimac)**:** Frontend, backend, & data engineer. Worked on big data at Yelp, and most recently did data engineering at Clockwise.\n\n[**Dori**](https://linkedin.com/in/doris-lee-wilson)**:**  Data Scientist turned CEO. Crafted data stories at Uber, CircleCi, Mux, Pave, and the Federal Reserve Bank of San Francisco.\n\n# **🙏 Our Ask: Try us!**\n\n* Try us out! We’re improving the product every day, and want to know what you think! [Get Started.](https://bit.ly/3uClStS)\n* If you’re a business, we’re more than happy to build custom templates and make documents using your branding. [Book time with us.](https://calendly.com/d/3xd-4y9-km2/chat-with-thorntale)\n* Connect us with the people in your life who regularly make presentations using data by sharing this post or emailing [founders@thorntale.com.](mailto:founders@thorntale.com)\n\nSend any questions, inquiries, or pretty charts our way at [founders@thorntale.com.](mailto:founders@thorntale.com)",
        "url": "https://www.ycombinator.com/launches/KUw-thorntale-presentation-software-built-for-data-storytelling",
        "votes": 56,
        "created_at": "2024-02-27T07:26:35.110Z"
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    "one_liner": "Local business data intelligence platform",
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    "subindustry": "B2B",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 1629625,
        "full_name": "Richard He",
        "title": "Founder/CEO",
        "founder_bio": "Richard was a senior software engineer at Cruise and founding engineer at Graft, an LLM infra startup backed by GV and NEA. He contributed to Langchain and wrote the AI agent \"Chrome-GPT\" that reached Github's trending projects.",
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        "linkedin_url": "https://linkedin.com/in/yuchenghe",
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        "user_id": 1629158,
        "full_name": "Kathryn Wu",
        "title": "Founder",
        "founder_bio": "previous growth @ pinterest ",
        "is_active": true,
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        "id": 82429,
        "title": "Enterprise sales (SDR)",
        "url": "https://www.ycombinator.com/companies/openmart/jobs/MzUT9t6-enterprise-sales-sdr",
        "location": "Foster City, CA, US",
        "type": "Contract",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $150K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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        "title": "Openmart wants to make it easier for enterprises to sell to local businesses | TechCrunch",
        "url": "https://techcrunch.com/2024/08/21/openmart-wants-to-make-it-easier-for-enterprises-to-sell-to-local-businesses/",
        "date": "Aug 21, 2024"
      },
      {
        "title": "Y Combinator Startups That Could Be The Next Tech Unicorns",
        "url": "https://www.forbes.com/sites/jackkelly/2024/06/04/y-combinator-startups-that-could-be-the-next-tech-unicorns/?sh=79aa49c25764",
        "date": "Jun 04, 2024"
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      {
        "id": 92810,
        "title": "Openmart - Get local business contacts in Clay",
        "tagline": "Perform small account research at scale",
        "body": "We’re Kathryn and Richard – co-founders of Openmart.\n\n**TL;DR**\n\n**Openmart is teaming up with Clay to power sales teams with intelligence on 20M+ SMBs**\n\nWe’ve ingested millions of live signals, including public filings, websites, reviews, and even calls, then stitched them into a constantly living database on more than 20 million local businesses around the world.\\\nCheck out our[ launch video.](https://www.youtube.com/watch?v=kEPArWi9qu0)\n\n**Ask:** Could you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\\\n**Contact us:** [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\n**The Problem**\n\nTraditional data providers lack depth and granularity in their SMB data. Often outdated, missing coverage, or simply being incorrect. \n\nThis has led to internal teams having to spend tons of slow and manual effort collecting and vetting the data they need – piecing together multiple solutions, using engineering resources, and spending on expensive outsourcing.\n\nUntil now, there was no unified solution for teams.\n\n[👷](https://emojipedia.org/construction-worker) **Our (Free!) Solution**\n\nAt Openmart, we’ve significantly simplified access to this data.\\\nWith Openmart, you can:\n\n1. Search millions of local businesses instantly\n2. Upload custom lists to perform deep research\n3. Enrich businesses for verified owner contacts\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcor3-VU_s3q7QYLKG_J9kXMg8_IRv8ojL94T6An3gZ6DY_CikA_ZknFtSnNxw25GwRScWS1f6AhDbgNCIOkmukS9osJ7-oH-xXaPNJzkNneuxiQu3cwC3TT407ZZM7VTEKquBpHA?key=8T3GJJ3ibA5ooyB2PhXFDQ)\n\n\\\nYou can also plug Openmart data into your Clay systems in a variety of ways: ([_Clay_](https://www.clay.com/) helps teams turn any growth idea into reality via the best data, flexible workflows, and AI agents.)\n\nhttps://youtu.be/wkIne9_iwA4?feature=shared\n\n1. API access that you can easily plug and play into existing sales tools\n2. A free access version of Openmart is available at [app.openmart.com/register](http://app.openmart.com/register)\n3. Direct integration with Clay that fits directly into existing workflows.\n\n **Our Ask**\n\nCould you introduce us to leaders facing SMB research or lead generation challenges, or those who outsource to BPOs for such tasks? We can assist with identifying and performing initial lead qualification.\n\nContact us at [kathryn@openmart.com](mailto:kathryn@openmart.com)\n\nYour help can make a huge difference. **Thank you!**\n\n[👬](https://emojipedia.org/men-holding-hands) **The Team**\n\nWe (Kathryn and Richard) have known each other for over five years and met at Pinterest.\n\n![uploaded image](/media/?type=post&id=92810&key=user_uploads/1629158/cc867a70-853e-4693-b227-69cc96f21289)\n\n",
        "url": "https://www.ycombinator.com/launches/O8w-openmart-get-local-business-contacts-in-clay",
        "votes": 14,
        "created_at": "2025-08-07T15:02:31.886Z"
      },
      {
        "id": 78559,
        "title": "💰 Openmart - Get highly targeted local business leads using AI",
        "tagline": "Meet Openmart - AI alternative to ZoomInfo",
        "body": "**tl;dr:** \\\nHey everyone! We are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/), and we're here to present [Openmart](http://www.openmart.ai), **a platform that helps startups who sell to local businesses discover leads easily based on their specific needs.**\\\n\\\nOver the past several years, we have worked as brand operators, the first product manager, and the first engineer at high-growth SaaS startups. We crossed paths at Pinterest and have been good friends ever since.\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/eb4bdb54-7f60-4a76-a2d3-a543e2f9c886)\n\n**Problem**\\\nBased on our conversations with sales teams from various startups, we identified the following challenges:\n\n1. Finding SMB leads is difficult because there's no easy way to locate them. People often have to search randomly through platforms like Google Maps, Yelp, and Yellow Pages. **Companies like ZoomInfo charge upwards of $50,000 a year for an account.**\n2. Filtering out these SMB leads isn't easy. We observe different leads filtering requirements from our clients, and each of them, after receiving a list from ZoomInfo or others, still needs to spend days on manual research to determine if the business is a fit.\n\n**Our Solution**\\\nPicture Austin, a sales director at an aesthetic device startup, using Openmart. Openmart helps him conduct sales research and find places that sell older versions of these aesthetic devices. This makes it easier for their sales team to convince them to upgrade. In short, what can we help you with?\\\n\\\n1\\. Search our database of 1M+ SMBs and retailers to find where your competitors are selling. Review 1000+ store locators.\n\n![](https://slabstatic.com/prod/uploads/ufjq8g2k/posts/images/Q3Isz9DM3IAS26qVyaI7Pre1.gif)\n\n2\\. Get a list of high-quality retailers and SMB leads in seconds instead of days of manual research. Here’s an example of Openmart’s AI agent telling whether these bars have a jukebox or not. 😄\n\n![uploaded image](/media/?type=post&id=78559&key=user_uploads/1629158/de1d500a-676b-403f-836c-6c7d9033ff0b)\n\n## **Our ask**\n\n1. Share this post! Please help spread the word, as you never know who it may help. We appreciate the support and will always be grateful. ❤️\n2. Book a demo with us at [www.openmart.ai](http://www.openmart.ai)[.](http://www.openmart.ai/)\n3. Connect us with startup sales teams that are selling to small and medium-sized businesses, such as DTC/e-commerce stores, retail, and medical clinics.\n4. Quick blurb to copy & paste: _A team in Y Combinator's current batch can help you find SMB leads in sectors like e-commerce, retail, and medical establishments, and get you highly targeted leads in seconds. Check them out and contact [founders@openmart.ai](mailto:founders@openmart.ai) for more information._\n\nWe are [Richard](https://www.linkedin.com/in/yuchenghe/) and [Kathryn](https://www.linkedin.com/in/kathrynwoohoo/) and we're on a mission to make selling to SMBs easy using AI.",
        "url": "https://www.ycombinator.com/launches/KR5-openmart-get-highly-targeted-local-business-leads-using-ai",
        "votes": 209,
        "created_at": "2024-02-20T17:30:06.941Z"
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    "id": 29444,
    "name": "Vista Power",
    "slug": "vista-power",
    "former_names": [
      "Vista Space"
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    "website": "https://vistapower.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vista designs, finances, installs, and manages energy storage and solar at commercial, industrial, and multifamily properties for $0 upfront, helping businesses save up to 30% on their energy bills. The founding team previously worked at SpaceX, Rocket Lab, NASA and Firefly.",
    "one_liner": "Batteries and solar for $0 upfront to help businesses save money",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Energy",
    "launched_at": 1706595297,
    "tags": [
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      "B2B",
      "Sustainability",
      "Manufacturing",
      "Renewable Energy"
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    "batch": "Winter 2024",
    "status": "Active",
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    "country": "US",
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      "name": "Brad Flora",
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      {
        "user_id": 293472,
        "full_name": "Maxim Kraft",
        "title": "Founder/CEO",
        "founder_bio": "I care deeply about space, sustainability, and using economics and engineering to build a future worth living in for all humankind. In 2023, I co-founded Vista Power (fka. Vista Space) to help businesses use clean energy to save money on energy bills for $0 upfront. Previously, I worked on profit improvement at Starlink, built supply chain analytics tooling at Rocket Lab, and ran a software startup called Tour (acquired), which I co-founded in high school.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/maximkraft",
        "x_url": "https://twitter.com/2001kraft",
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      {
        "id": 79713,
        "title": "Vista Space: Structural batteries for high performance spacecraft",
        "tagline": "Our batteries let spacecraft have 2x the energy capacity or save 15-30% in volume",
        "body": "### **TL;DR**\n\n**About Us** \\\n[Vista Space](https://govista.space/) builds Tesla-inspired structural batteries to increase satellites’ energy capacity without increasing their size. The founders worked at SpaceX, Rocket Lab, and NASA. \n\n**The Ask** \\\nIf you or anyone you know are building spacecraft or any other products that could benefit from structural batteries, we should talk! Please reach out or send referrals our way to [sales@govista.space](mailto:sales@govista.space) or our website at <https://govista.space>. \n\n—\n\nHey all, we’re [Vista Space](https://govista.space/), co-founded by [Maxim Kraft](https://linkedin.com/in/maximkraft), [Petar Matejic](https://linkedin.com/in/petar-matejic), and [Chaitanya Kore](https://www.linkedin.com/in/ckore/). Our mission is to power the next generation of space exploration. \n\n### **Problem**\n\nPower is a fundamental constraint for space mission design, as everything operating in space requires electricity. Today's spacecraft power systems are not capable enough to support both the current and next-generation mission concepts, leading satellite manufacturers to painful trade-offs: **limiting additional hardware** or **increasing system size** to get more power. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/5a1ec437-b4ee-4544-b3ad-5082e2be92c3)\n\nWith reduced capabilities, companies lose their technological advantage. With increased size, manufacturing costs are higher, risk of schedule delays is greater, and go-to-market is slower due to fewer spacecraft launches. **These trade-offs are fundamental limitations** of spacecraft design and space economics. \n\nWhile space-rated solar panels are thin, efficient, and can be foldable, **batteries take up significant useful volume** (up to 30% in small spacecraft) **and are vastly less capable** than the latest terrestrial equivalents.  \n\n### **Solution**\n\nTraditional spacecraft walls are purely structural, serving little functional purpose after launch while occupying valuable space. \n\nOur **Voltaris 1** module replaces these walls, providing **structural support and energy storage simultaneously**. This allows satellite manufacturers to **double their energy capacity** without increasing size or **gain 15-30% more useful volume** at the same power budget. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/293472/a51852a8-0dfc-46a5-a2bf-049c29a42d7e)\n\n**Key Features:** \n\n* **Inspired by structural batteries in EVs** like the Tesla Model Y and Cybertruck \n* **Plug and play with any chassis size**, bolting onto the chassis in place of aluminum walls \n* **Compatible with third-party electrical & power system** (EPS) modules inside \n* CubeSat modules **include a solar cell**, and all form factors have the electrical components & thermal protection systems to **work out of the box** \n* **Additional radiation protection** for the contents inside the chassis \n* Launching **to space in February 2025** \n* Targeting **pricing to be middle of the market** for space batteries\n\n \n\n### **About Us**\n\nMaxim & Petar met at SpaceX, working on Starlink and Starship, respectively, and bonded over discussing opportunities for satellite design improvements. Maxim met Chaitanya at a conference for rising NewSpace leaders and stayed in touch since. \n\n![uploaded image](/media/?type=post&id=79713&key=user_uploads/89898/1b0414fe-b273-4da1-b4fb-2265113278ca)\n\nMaxim: Berkeley alum (Economics & Physics). Former SpaceX, Rocket Lab. Taught a course on space economy and entrepreneurship during undergrad. \n\nPetar: Former SpaceX, NASA, Firefly, The Boring Company. Co-founded UNLV's student satellite team. \n\nChaitanya: Founded Space Force Association Great Lakes chapter. Helped secure a multi-billion-dollar battery gigafactory in Illinois.  \n\n### **The Ask**\n\n* Please share this post with your network, even outside the space industry! \n* If we’re building something you need, please reach out or send referrals to [sales@govista.space](mailto:founders@govista.space) or our website <https://govista.space>.\n* Leave an upvote!\n\n \n\n**Early adopter benefits:** Anyone who places a Pre-order gets personalized technical review sessions and priority delivery of the first production units. \n\nThanks all! Let us know what you think. ",
        "url": "https://www.ycombinator.com/launches/Kjh-vista-space-structural-batteries-for-high-performance-spacecraft",
        "votes": 43,
        "created_at": "2024-03-26T17:00:54.840Z"
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        "full_name": "Pierre Dorge",
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        "founder_bio": "Co-founder at Fileforge. Background in Computer Science from ETH Zurich and Quantitative Finance as PhD (dropout) from the National University of Singapore. Interested in tech, finance and history.",
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        "title": "Onedoc — Making it easy for developers to generate beautiful PDFs",
        "tagline": "Stop spending hours making ugly documents, and start creating a dynamic experience now!",
        "body": "**_tl;dr_** Onedoc makes it easy for developers to generate beautiful PDFs. It is a comprehensive solution with:\n\n1. An [open-source library](https://github.com/OnedocLabs/react-print) to design your documents\n2. A simple [API](https://docs.onedoclabs.com/introduction) to generate your documents\n3. A [cloud platform](https://app.onedoclabs.com/login) to host and track your documents\n\n![uploaded image](/media/?type=post&id=78258&key=user_uploads/959469/55ac7687-e4a4-4456-97a2-ff6348953e3b)\n\n> Using Onedoc to quickly generate dynamic PDFs\n\n👋 Hi! We are [Auguste](https://www.linkedin.com/in/augustelefevre/), [Pierre,](https://linkedin.com/in/pierre-dorge-3372bb16a) and [Titouan](https://www.linkedin.com/in/titouan-launay/?locale=en_US) and we’re building [Onedoc](https://www.onedoclabs.com/).\n\n## Why do documents feel so outdated?\n\nBillions of PDFs are generated daily: invoices, contracts, receipts, tickets,… yet there are no toolkits to allow companies to easily build them. Developers need to get their hands dirty to produce basic documents - let alone beautiful ones. This makes PDFs hard to dynamize and maintain, leading to poor brand experience and flawed analytics.\n\n## What does Onedoc bring to the table?\n\nOnedoc bridges the gap between developers and documents. We make modern web technologies work for PDF generation: React, Tailwind, … In turn, developers can make highly dynamic documents and iterate quickly. **What used to take hours now takes seconds with our API.**\n\nTo make it even faster, we maintain an [open-source library](https://github.com/onedoclabs/react-print) of beautiful components and we offer a hosting and tracking service to better understand your documents.\n\n## What brought us here\n\nWe previously worked with giant firms, where documents were central to most workflows. They would get passed around, get into client’s hands, and everyone would complain about their layout and lack of proper information. While at a large mining company, clients would want to see shipping information and product details on their invoices. However, the development team wouldn’t be able to update these documents because the task was too complex and expensive.\n\n## Interested in generating beautiful documents today?\n\n* **Try it now,** and give us feedback!\n* **Social:** Join us on [Discord](https://discord.com/invite/uRJE6e2rgr) or send us a tweet at [@Onedoclabs](https://twitter.com/OnedocLabs) and we will get you set up in no time.\n* **Open-source:** Support our open-source library on [Github](https://github.com/OnedocLabs/react-print) by contributing and starring the repo.\n* **YC Deal:** Enjoy our YC Deal and get 1,000 monthly documents on us (x10), we also redesign your existing documents with our UI experts - get in touch at [yc@onedoclabs.com](mailto:yc@onedoclabs.com).",
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        "created_at": "2024-02-07T22:14:22.044Z"
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      {
        "id": 77898,
        "title": "Miden 💳: Accessible financial tech in Sub-Saharan Africa",
        "tagline": "Intuitive API for businesses to launch their own virtual card program",
        "body": "TLDR: Miden's intuitive API addresses challenges faced by businesses in Sub-Saharan Africa, enabling the swift launch of financial solutions such as virtual card programs, credit systems, reconciliation, and expense management systems. This is especially vital in a continent boasting the largest youth population and the fastest-growing economy.\n\n![uploaded image](/media/?type=post&id=77898&key=user_uploads/1047170/5d8b269f-fb02-47d0-8868-c8fd545e181b)\n\nIn Sub-Saharan Africa, businesses face significant challenges in launching financial solutions promptly. The region grapples with cumbersome processes, outdated infrastructure, and prolonged timelines, hindering the swift deployment of essential tools like virtual card programs, credit systems, and reconciliation and expense management systems.\n\nDespite rising account ownership from 43% in 2017 to 55% in 2021, Sub-Saharan Africa still lags significantly behind the global average of 76%. Africa currently represents less than 1% of global card transaction volumes, and the core infrastructure for payments remains either legacy or in its infancy.\n\nWe are a dynamic and seasoned team of banking and financial experts :\n\n🔍 [Okiemute](https://www.linkedin.com/in/okiemuteavworhokai/), our adept navigator, with over 10 years of expertise in business development. Having built and successfully sold financial tools and services in banking and fintech in Nigeria, Okiemute is optimistic about the financial landscape in Sub-Saharan Africa.\n\n🚀 [Ini-Obong](https://bookface.ycombinator.com/user/1366375/linkedin_redirect?key=607468f8c4243fa02a63b2cc86dd3707c3b0f6ee), the tech maestro and Chief Technology Officer at Tyrus Technologies. With an impressive 13-year journey in banking and fintech, Ini-Obong has left his mark on major financial institutions like First Bank of Nigeria and Heritage Bank, along with fintech firms like Mukuru. He is the visionary behind our virtual card program and embedded finance solutions.\n\nOur Ask:\n\n🚀 Explore the boundless possibilities with Miden’s intuitive API.\n\n🔗 Connect us with businesses in Sub-Saharan Africa ready to embark on this transformative journey.\n\nJoin Miden in pioneering the future of financial accessibility in Sub-Saharan Africa. Email us at [founders@tyrus.io.](mailto:founders@tyrus.io)",
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        "full_name": "Simon Ooley",
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        "full_name": "Patrick Koperwas",
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        "id": 78691,
        "title": "🚀 Veles - Your copilot for enterprise sales",
        "tagline": "Unlock enterprise deals effortlessly with Veles",
        "body": "**TL;DR:** [Veles](http://www.getveles.com/) is your copilot for enterprise sales - equip your sales team with an AI-powered quoting tool. Integrated seamlessly with your CRM, CPQ, and BI platforms - give reps a tool they will actually love, and leadership the actionable insights they need to move the needle. \n\n![](https://lh7-us.googleusercontent.com/Bh9JayL-j7HRnGvGS5DUl0AG8mL-BTK-qt0QCls2Kj2pC0d6sGPY2ltJYBjgN01MwyVrIGV4g9CyqlWXgMeYylwLaTQsVc_Wja-SoVpfb0a2crLi1EdLlM_NQsI3e4gUB64CQiE2h79dcr4zlmZUV8g)\n\n\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n**🤯 The Problem**\n\nPricing enterprise sales deals is a headache. Fragmented processes and tools result in subpar terms and lost opportunities. Many teams resort to complex Google Sheets, Slides/PPTs, manual CRM entries, and email chains just to handle pricing.\n\n❌ Missed Quota: On average 60% of sales reps hit quota due to fragmented tooling, inconsistent processes, and lack of transparency.\n\n❌ Slow Ramp: Onboarding new sales reps takes 5 - 7 months due to poorly documented pricing strategies and variations across companies.\n\n❌ Little Collaboration: Leadership lacks scalable insight into sales negotiations, hindering optimization and guidance for sales reps.\n\n❌ No Knowledge Share: Top performers' insights are trapped, preventing learning and team-wide improvement.\n\n**⚡️ The Solution**\n\nIntroducing Veles - the enterprise sales co-pilot, designed to enhance negotiation skills, minimize discounting, and land larger deals with confidence. Veles offers an easy-to-use calculator, benchmarks for comparing deals against those of peers, and clear guidance on deal desk rules, ensuring accurate pricing and standard terms. \n\nStreamline collaboration with management and equip sales reps with the necessary insights to navigate the quoting and negotiation process effectively, eliminating the reliance on outdated methods (like Google Sheets) and driving sales success through informed decision-making.\n\n**Key Features:**\n\n✅ **SaaS Pricing Calculator:** Easily standardize pricing and track sales rep behavior in one intuitive platform.\n\n✅ **Standard Deal Definition:** Define sales strategies and terms to expedite onboarding and maintain negotiation consistency.\n\n✅ **Performance Analytics:** Gain insights into sales rep behaviors that lead to closed-won deals through comprehensive deal scoring.\n\n✅ **Alignment & Optimization:** Foster team alignment by sharing negotiations and strategies for successful negotiation calls.\n\n**👀 HOW DOES IT WORK?**\n\n[Veles: A Copilot for Enterprise Sales - Watch \\~2 min Video](https://www.loom.com/share/5ed62a735cd04031a79062374185e6cf)\n\n![](https://cdn.loom.com/sessions/thumbnails/5ed62a735cd04031a79062374185e6cf-with-play.gif)\n\nOur Ask:\n\n* Help us spread the word! Share this post and support us.\n* [Book a demo with us here](https://calendly.com/simon-veles/veles-product-discussion) or email us at [founders@getveles.com](mailto:founders@getveles.com). \n* A quick blurb to copy & paste: \"Check out Veles! They’re going through the current Y Combinator batch. Veles streamlines enterprise pricing and negotiations to provide the insights needed to close bigger deals, faster.\"\n\nWe are [Simon](https://www.linkedin.com/in/simonooley/) and [Patrick](https://www.linkedin.com/in/patkoperwas/), and we're on a mission to make every rep a top performer.",
        "url": "https://www.ycombinator.com/launches/KTD-veles-your-copilot-for-enterprise-sales",
        "votes": 179,
        "created_at": "2024-02-23T19:34:52.556Z"
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    "name": "CommodityAI",
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    "long_description": "CommodityAI builds intelligent automation agents for some of the most operationally complex businesses in the world: physical commodity traders.\r\n\r\nIn trading operations, critical data is often buried in spreadsheets, emails, PDFs, and legacy systems — making workflows slow, error-prone, and overly manual. CommodityAI acts as a digital operator, continuously reading, interpreting, and updating information across the trade lifecycle to keep records accurate and systems in sync.\r\n\r\nOur agents extract and validate key details from trade confirmations, contracts, vessel updates, and more — turning scattered, unstructured data into clean, structured records that flow directly into CTRMs, ERPs, and other core platforms. No manual entry required.\r\n\r\nBy automating what others still do by hand, we help trading teams move faster, reduce risk, and focus on the decisions that matter most.",
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    "team_size": 6,
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    "launched_at": 1710175582,
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        "tagline": "Meet CommodityAI, the easiest way for commodity traders to manage shipments",
        "body": "Hi everyone! We’re [Philip](https://linkedin.com/in/philipkoenig), [Kyle](https://linkedin.com/in/kyle-manuel-franz-7a4351a8), and [Daniel](https://www.linkedin.com/in/dcervoni/) from [CommodityAI](https://commodityai.io/). We are building a platform for commodity traders to manage their shipments.\n\n**tl;dr** CommodityAI makes it easy for commodity trading companies to manage their shipments. One of the largest sugar traders uses our product to classify over a million documents, extract relevant fields from them, and organize them by shipment. They also use us to execute shipment-related workflows, like sending shipment status updates and generating vessel nominations.\n\n# **The Problem**\n\nShipping commodities requires a company to manage \\~200 processes and over 50 documents. Now imagine you're managing thousands of shipments a month, and tens of thousands in a year. As a result, a trading company’s workforce spends \\~70% of their day on admin and 40% of operating costs are allocated to labor. Almost all of our customer calls have had one thing in common: the trader or operations person can recall a time in the past 6 months when a document or process error resulted in the firm losing hundreds of thousands of dollars.\n\nThese processes also differ between customers. In other words, no 2 customers run their commodity trading operations the exact same way. This makes it difficult to build a one-size-fits-all solution without being intimately familiar with the space and the nuances of these shipments.\n\n# **The Solution**\n\nWe’ve built AI, automation, and collaborative tools built specifically for commodities trading. Our customers use CommodityAI to manage thousands of shipments and process millions of shipment-related documents. This includes classifying them, extracting relevant fields, and organizing them. They also use our platform to automate a series of time-consuming, related tasks that they do in their day-to-day, such as tracking vessels, generating vessel nominations, and sending real-time updates to their counterparty.\n\n**Document Processing Workflow: Classify, Extract data, create shipment**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/47492cb6-5514-42b8-97ea-03ad19cad07e)\n\n**Track and Send Shipment Status Updates**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/524a9171-3d63-42a0-8a14-d5360ecda593)\n\nOur goal is to ultimately take the number of manual processes within a commodities shipment down to 0, transforming the way commodity trading companies manage their operations.\n\n# **Ask**\n\nWe know there aren’t too many commodity trading companies probably checking YC every day, but we do know many founders worked as traders or know traders from previous work experience! We’d be extremely grateful for any introductions to potential customers or investors =).",
        "url": "https://www.ycombinator.com/launches/Kdk-commodityai-the-shipment-management-platform-for-commodity-traders",
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        "created_at": "2024-03-13T01:53:54.452Z"
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        "full_name": "Harsh Yadav",
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        "title": "Ryse: The secondary market for real estate leases",
        "tagline": "Ryse enables the trading of $1.5T in leases between banks/asset managers and real estate operators",
        "body": "Hello everyone! We’re [Harsh](https://www.linkedin.com/in/yadav-harsh/), [Sean](https://www.linkedin.com/in/seanfmitchell/), [Tom](https://www.linkedin.com/in/thomasleonardsmith/) and [Seva](https://www.linkedin.com/in/seva-levitski-4107053/). We’re building Ryse: the secondary market for real estate leases.\n\nSee it here: [Ryse | Innovative Growth Capital For Modern Real Estate Operators (rysemarket.com)](https://www.rysemarket.com/)\n\n**_TL;DR_**\\\nRyse _is the only marketplace where investors who want to buy leases can trade with real estate operators who want to sell leases._\n\n**The Problem**\\\nFinancial institutions like banks, asset managers and insurance companies want to invest directly into the $1.5T in real estate leases originated in the US each year, but they can’t.  Why?\n\n* There's no marketplace for buyers and sellers to meet\n* There's no access to or standardization of the data required to underwrite opportunities\n* There's no existing infrastructure to support trading, reporting, or payment processing\n\n**The Solution**\\\nRyse is the first marketplace where lease buyers and sellers can transact seamlessly. We're building a marketplace where:\n\n* Buyers have access to underwriting data sourced directly from custom API integrations with Sellers\n* We standardize that data into a format that makes it easy to understand and compare to other investments (loans, bonds, t-bills, etc.)\n* We automate trade execution, reporting, and payment processing\n* We enable real estate experience providers to innovate and scale without balance sheet risk.\n\n**See Who Our Customers Are:**\n\n![](https://lh7-us.googleusercontent.com/BZE6zMCgR0w_OqsVfyOkTsSPdlM6_QTiZhPdSUfJH9CxogpJusXtp6p-IweULkz7rnvuJ-5ttOEnn3D_D5TQhIq7w1vCtXCSXxUBR7r4ie8MD0orOyNRYqBj6UTuaEYEIcujpPkGVRLjgIRFye59xF8)\n\n**User Experience**\\\nSee how our customers interact with Ryse:\n\n* Buyers:\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/de468896-0660-4dd1-a091-1ccce3044664)\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/40bff86c-434f-4c2d-a473-6bfe9a8b018b)\n\n* Sellers:\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/8f3f7f4f-50a9-47fe-a8a6-b48553daff75)\n\n  ![uploaded image](/media/?type=post&id=79735&key=user_uploads/166772/69969c5e-ce23-4bb8-a0ed-472113fc0cbe)\n\n\n**Traction**\\\nSince launching 10 weeks ago, we've signed a $100M term sheet with our first buyer, a $3B+ AUM asset manager. We are also engaged in late-stage negotiations on our first $50M seller term sheet, which is expected to close in Q2 2024.\n\n**An Experienced Team**\\\nOur founding team worked together at REZI (YC W17), a prop-tech company whose software aimed to make renting an apartment as simple as ordering on Doordash. When building REZI, we learned that financial institutions had an enormous appetite to buy leases as an asset class.\n\n**Our Ask**\\\nIf you’re a real estate operator or financial institution interested in using Ryse, please email us at [hello@rysemarket.com](mailto:hello@rysemarket.com)",
        "url": "https://www.ycombinator.com/launches/Kk3-ryse-the-secondary-market-for-real-estate-leases",
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        "created_at": "2024-03-27T13:56:19.649Z"
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    "long_description": "Every company is about to run two systems: one that generates software and one that validates it. Spur is the second one.\r\nSpur runs specialized agents against the real product the way a customer would use it: functional, visual, content, native iOS and Android on real devices, and accessibility and compliance.",
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        "answer": "Anushka and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. Sneha previously worked on growth at Figma, and Anushka on codegen at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing."
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        "full_name": "Sneha Sivakumar",
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        "id": 71504,
        "title": "Founding Engineer / Full Stack",
        "url": "https://www.ycombinator.com/companies/spur/jobs/nmQ6lJD-founding-engineer-full-stack",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
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        "title": "Founding Designer",
        "url": "https://www.ycombinator.com/companies/spur/jobs/GoFbA9F-founding-designer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
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        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 82112,
        "title": "Founding Engineer Infra/Backend - Spur",
        "url": "https://www.ycombinator.com/companies/spur/jobs/cQGJFb3-founding-engineer-infra-backend-spur",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "experience": "6+ years",
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        "title": "YC Alumni Spur Just Raised $4.5M for Their AI Agent Qa Startup - Business Insider",
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        "date": "Apr 17, 2025"
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        "date": "Sep 17, 2024"
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        "title": "With launch of tech company Spur, recent grads discuss the hectic, exciting startup life | Yale School of Engineering & Applied Science",
        "url": "https://seas.yale.edu/news-events/news/launch-tech-company-spur-recent-grads-discuss-hectic-exciting-startup-life",
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        "id": 116412,
        "title": "Spur - testing infrastructure for your mobile apps",
        "tagline": "test and validate your mobile apps in plain english.",
        "body": "hey everyone 👋 we're Sneha and Anushka, co-founders of [Spur](https://www.spurtest.com/).\n\n### **TL;DR** Spur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur is building the validation infrastructure for software teams. We started with web testing, and today we're launching native app testing across iOS and Android.\n\nSpur's agents test your apps the way real users do. You define the behavior you want to test in natural language, and Spur figures out how to execute and validate it across iOS and Android, native interactions, and web views.\n\nTeams at HelloFresh, Nextdoor, DocuSign, Bilt, Alo Yoga, and Abercrombie are already using Spur for testing across their digital experience – on websites and on their apps.\n\n**Our Ask:** If you’re building and maintaining a mobile app, we'd love to help you test it.\\\nBook a demo:[ https://spurtest.com/book-a-demo](https://spurtest.com/book-a-demo)\n\n## **The problem**\n\nSoftware is getting generated faster than ever: features that used to take days to build are now generated in minutes. But - once the feature exists, someone still has to figure out whether it actually works.\n\nThat validation process hasn't sped up at the same rate.\n\nIf you’re shipping mobile apps, this gets even harder. The same product flow often turns into separate automation for ios and android. Teams maintain the tests, the device infrastructure they run on, and the CI setup around them.\n\nAnd as your product changes, your automation has to change with it.\n\n## **The solution**\n\n1. **Natural Language allows you to define the “intent” of a test:**\n\n   Most test automation describes exactly _how_ to use an application.\n\n   _Find this element. Tap it. Wait for another element. Enter text. Assert a value._\n\n   That makes the test tightly coupled to the implementation. Spur tests describe what the user should be able _to do_ instead.\n\n   _Add an item to cart, apply a promo code, and complete checkout with Apple Pay._\n\n   The test captures the intent of the flow. Spur figures out how to execute it against the application in front of it. This means the same test can keep working across platforms or ui changes, because the thing you’re testing - the user behavior - hasn’t changed.\n2. **Spur runs the infrastructure too**\n\n   You upload the builds and choose what you want to validate. Spur handles the environment those tests execute in and runs them on our infrastructure. That means mobile testing becomes much closer to:\n\n   _build → upload → validate_\n\n   instead of becoming its own infrastructure project.\n\n   Tests can run as part of a release, against a pull request, on a schedule, or whenever an engineer wants to validate a change.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/52f7df91-1940-4f7c-a2df-4299adbee3e3)\n\n3. **Built for engineers and agents**\n\n   As more software is written by coding agents, we think validation also needs to become something agents can use directly.\n\n   MCP is a first-class interface to Spur. A coding agent can make a change, ask Spur to validate the relevant user flows, inspect the result, fix what failed, and run the validation again.\n\n   So the loop starts to look like:\n\n   _generate → validate → fix → validate → ship_\n\n   Humans can define the intent, using anything as context (tickets, figma files, PRDs, your codebase). Agents can continuously check whether the software still satisfies it.\n\n   ![uploaded image](/media/?type=post&id=116412&key=user_uploads/700570/1438d0de-f515-48cf-8f6c-4c478e4a7dba)\n\n\n## **Why we built this**\n\nWe've spent the last few years building testing infrastructure for large software teams.\n\nOne thing has become increasingly clear: writing software is becoming dramatically easier, while proving that software works is still slow and expensive.\n\nWe think the gap between software generation and our ability to validate it is only going to widen.\n\nThe future of testing isn't maintaining more and more scripts. Validation needs to become more intelligent, adaptive, and be able to keep up with the rate at which software is changing.\n\nThat's what we're building at Spur.\n\nIf you're building or maintaining a mobile app, we'd love to work with you: <https://spurtest.com/book-a-demo>.",
        "url": "https://www.ycombinator.com/launches/UHc-spur-testing-infrastructure-for-your-mobile-apps",
        "votes": 20,
        "created_at": "2026-09-23T15:09:11.428Z"
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      {
        "id": 83237,
        "title": "✨ Spur - Your AI QA Engineer",
        "tagline": "Spur lets you test your website with natural language.",
        "body": "# **TL;DR: Spur lets you test your website with natural language.**\n\n## You can launch web agents that mimic exactly what your users do on your platform, so you can ensure your product doesn’t fail your users.\n\n---\n\n### Launch Day Deal 🎉\n\nAs part of launch day, we are offering to help you set up tests for your **core flows** on [signup](https://tally.so/r/n9WR4Q) for free. \\\nUse the code `SPUR_LAUNCH` on signing up to redeem this deal.\n\n—\n\n# Here’s how it works! (A flow we test for the YC Tech Team)\n\nAn example test for YC’s Application Portal to Invite Co-Founders\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/14e90a74-1b37-42e0-b36b-f6cc3b5d31aa)\n\n<https://www.loom.com/share/bbab011b36904f4ea6d97a85225c7c30?sid=2023cab4-e476-4574-9ad3-f5daf34d4d89>\n\n# **⛔️ The Problem (Do we even need to get into this?)**\n\nA. Testing is TIME-CONSUMING and PAINFUL. 🤕\n\n* whether you write a test\n* or manually check (or maybe not check) your core flows every single time you merge to production\n\nB. Tests are not MAINTAINABLE; they break! 🛠️\n\n* Your UI is constantly changing, and maintaining test scripts is a tedious task.\n\n## **✨ The Solution**\n\nOn Spur, you can:\n\n* Write automated tests in minutes (_not hours_) with natural language 💨💨\n* Not worry about maintaining tests when your UI changes 💅\n\n  _We use multimodal agents that interact with your web pages exactly like users would. Tests are not bound to CSS selectors_\n\n## **🧡 The Team behind Spur**\n\n[Anushka](https://linkedin.com/in/anushka-nijhawan-8380361b1) and I met our freshman year at Yale. We did research at the Yale NLP Lab on web agents. [Sneha](https://www.linkedin.com/in/sivakumarsneha/) (here!) previously worked on growth at Figma, and Anushka at DeepMind. We’ve hacked on our fair share of projects before — and have very much felt the pain of neglecting testing.\n\n![uploaded image](/media/?type=post&id=83237&key=user_uploads/700570/6ceb23f3-b013-4f80-a2f0-04e4c1539ba3)\n\n## **🤝 Our Ask**\n\n### **If this problem is one that you face, try us out!**\n\n* Book a [demo](https://calendly.com/sneha-sivakumar-1/30min)\n* [Sign up!](https://tally.so/r/n9WR4Q) We are live and actively onboarding customers every single day\n\nOur customers have found a **lot** of value from using us so far, and we’d love to take testing off your plate. Here is what some of them have said :)\n\n> Spur is shockingly easy to use—no coding, just plain English. Simply describe what you want to test, and Spur handles the rest. Onboarding was a breeze, and Anushka and Sneha are fantastic to work with.\n>\n> _\\- Eve Bouffard, Product Engineer @ YC Tech Team_\n\n> I’m gonna see if I can expense Spur through my wellness stipend. Category: Therapy\\\n> \\- Gabe Wilson, Founder & CTO @ Terrakotta\n\n> We had a HUGE UI revamp and are still able to test easily without needing maintenance, not a single test has broken due to flakiness. They mean it when they say their tests are reliable. \\\n> \\- Joseph Parker, Founder & CTO @ VecFlow\n\n> We’ve been using Spur and it’s been AMAZING — unlike all the competitors that we’ve tried, they actually work! Can highly recommend.\\\n> \\- Konsti Wohlwend, Founder @ StackAuth",
        "url": "https://www.ycombinator.com/launches/LeX-spur-your-ai-qa-engineer",
        "votes": 187,
        "created_at": "2024-08-20T18:33:59.716Z"
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    "id": 29496,
    "name": "VoxOps AI",
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    "website": "https://www.voxopsai.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Garages, dealers and lenders receive and make a huge number of calls across the customer journey, covering many uses cases. Customers don't want to be kept waiting and want to be proactively informed with reminders and updates by their service providers. \r\n\r\nVoxOps automates up to 80% of their inbound and outbound calls, whilst automating downstream workflows.",
    "one_liner": "Voice AI for Automotive",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1703336574,
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    "batch": "Winter 2024",
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    "regions": [
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        "full_name": "Stefan Vukcevic",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Revolut pirate turned AI romantic.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/stefanvukcevic",
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        "full_name": "John Hesler",
        "title": "Founder",
        "founder_bio": "Embarked on my construction journey at the age of 16, I've relentlessly climbed the industry ladder, starting from the grassroots and ascending to the summit. With a profound commitment to excellence,I've cultivated a wealth of knowledge that spans the entire construction spectrum. Now, as a pivotal force behind Konstructly, I'm excited to channel my expertise towards revolutionising the construction Industry worldwide.",
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        "title": "Konstructly - Making construction payments more efficient",
        "tagline": "Digitise subcontractor payments and connect them to QA and progress. ",
        "body": "# Tl;dr\n\nWe digitize subcontractor invoicing and payment approvals (valuations) and connect them to the respective quality checks of the works, trade handovers, and live progress. \\\n\\\n[Konstructly](https://konstructly.com/) not only streamlines manual processes and provides unparalleled visibility, it drives productivity from contractors’ supply chains using the ultimate incentive - cash.\n\n# Team 👷👷👷\n\nHi everyone, we’re [Dima](https://linkedin.com/in/dmitryvim), [John](https://www.ycombinator.com/companies/www.linkedin.com/mwlite/profile/in/john-hesler), and [Stefan](https://linkedin.com/in/stefanvukcevic), and we’re on a mission to prevent overspend in construction. We’re doing this by ‘following the money’ and mapping payments directly to their corresponding works on-site.\n\n![uploaded image](/media/?type=post&id=77091&key=user_uploads/1005097/6f11951c-d0eb-4ec6-854c-db4c448cf807)\n\n# \n\n# The Problem ❌\n\nIn construction, Production— those doing and managing the build on-site— are disconnected from Commercial, those responsible for the project’s finances and profitability. \\\n\\\nThis ultimately results in overspending. \\\n\\\nFor example, quantity surveyors spend 25-50% of their time processing subcontractor invoices, mostly because they don’t have the necessary data on hand. They also spend a lot of time on low-value, manual tasks like data entry. This means that they spend less time on high-value tasks like tendering and procurement, where oversights result in costly mistakes. \\\n\\\nLack of visibility means that a lot of stuff gets swept under the carpet, only to resurface at the end of a project (eg. variations). It also means that subcontractors are less accountable as it’s more difficult to prove things, resulting in reduced productivity, more rework, and longer delays. \n\n# \n\n# The Solution ✅\n\nA single app connecting Production and Commercial stakeholders, entities, and workflows, to save time, increase visibility and incentivize productivity.\n\n# \n\n# How It Works 👨🏻‍💻\n\nSubcontractors’ site teams log their progress for approval/QA by the general contractor’s (GC) site team and for handover acceptance by the next trade. This progress auto-fills their applications, saving their commercial team a lot of time.\n\nThe GC’s commercial team then just has to amend/review as necessary in a simple, purpose-built interface, with all the production data visible (progress, QA, handover acceptance). It makes valuing and approving the subcontractor’s work a lot quicker and provides much more control/visibility. This incentivizes subcontractors to build the right first time (productivity) as GCs can more easily identify inadequacies and withhold payments until works/tasks are performed properly, in their entirety.\\\n\\\nRecorded Handovers are extremely powerful - general contractors are finally able to capture responsible parties and quantify delays, allowing them to enforce liquidated damages or, at the very least, have more leverage in final account negotiation. This encourages prompt and correct behavior from both parties, once again relying on cash to drive productivity.\n\n# \n\n# How We Came Across the Problem 💡\n\nStefan previously built and operated a construction labor marketplace. \\\n\\\nHe handled invoicing and payments between the subcontractor and contractor, needing to manually unify all the different document formats (photos of handwritten statements, WhatsApp lists, emails, word docs, spreadsheets, etc) and manage the endless back and forth between multiple stakeholders - who all had different opinions on what work had been done and how much should be paid! \\\n\\\nNot only was the submission and approval process extremely inefficient, but there was no visibility over the corresponding works or their quality checks, massively increasing risk and friction between the parties. Something had to change!\n\n# \n\n# Our Ask 🙏\n\nConnect us with relevant constructions peeps! eg. Those at general contractors/house builders turning over $20m/year. \\\n\\\nDrop Stefan an email at: [stefan@konstructly.com](mailto:stefan@konstructly.com)",
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        "created_at": "2023-12-23T16:24:15.373Z"
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    "long_description": "Integuru turns any platform into a reliable, low-latency, and high-throughput API. Requests complete in 3 seconds with 99.9%+ success, including deployments above 1M requests/month/platform. No RPA or browsers. No data caching needed. (By Taiki, Inc.)",
    "one_liner": "Generate fast, reliable APIs for any platform",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1709153976,
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    "batch": "Winter 2024",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/integuru-ai/",
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        "full_name": "Richard Zhang",
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        "founder_bio": "Co-Founder & CEO of Integuru — build and maintain fast, reliable integrations for any platform. Previously, product at Alibaba Cloud; data science at DiDi; and investor at Dragonfly and Gaorong Capital.",
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        "full_name": "Alan Lu",
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        "id": 101982,
        "title": "Integuru ⚡️ Generate fast, reliable APIs for any platform",
        "tagline": "We help agents control any external system, with speed and reliability.",
        "body": "📝 **TL;DR:** [Integuru](https://bookface.ycombinator.com/company/29498) **generates fast, reliable, and high-throughput APIs for any platform.** API calls complete in \\~**3 seconds** with **99.9%+ success**. No RPA or browsers. No data caching needed. Customers are already using fully generated integrations in production at millions of requests per month.\n\nStarting today, Integuru is **publicly accessible** and **free to try**! You can **use it** [here](https://app.integuru.com/).\n\n### **🎬 Integuru in Action**\n\n<https://youtu.be/v00yl_46H34>\n\n### 🎯 **The Problem**\n\nAI agents need to access external platforms, but most platforms don’t offer official, accessible, or comprehensive APIs. **That makes integration the single biggest bottleneck.**\n\nFor building integrations, most companies today use RPA, typically implemented via browser automation. RPA is easy to set up, but many AI companies have now **outgrown their RPA implementations**. They’re running into issues with **latency**, **reliability**, and **throughput**. A single API call can take minutes, and integrations are vulnerable to breaking due to frontend changes.\n\nWith RPA, there’s a relatively low ceiling on the number of concurrent browser instances on the same platform. This limits the number of requests. As customer counts grow, companies require higher throughput, but RPA, by nature, cannot support that demand.\n\nAt the same time, regardless of the approach you take to integrate, **edge cases are among** **the biggest causes of integration breakage**. Edge cases are different branching logic, states, and paths that appear in real-world usage across accounts and scenarios. Integrations that seem fine during testing can completely break in production.\n\nEdge cases can be caused by things like:\n\n* conditionally appearing fields and pages\n* hidden business logic depending on inputs\n* varying server behaviors\n\nTraditionally, testing edge cases must be done manually. Developers must manually trigger as many variations as possible, including changing inputs and stress-testing server limits. This process is often tedious and cannot cover everything, which threatens integration reliability.\n\nToday, we’re announcing a **publicly accessible,** **self-serve product** that solves all these issues and generates robust APIs in minutes.\n\n### 📈 **Integuru’s Solution**\n\nInteguru is an AI platform that **automatically reverse-engineers a website’s backend**. It generates integrations that directly ping website servers, with API docs for each.\n\nInteguru **covers edge cases** that arise during production workloads. It also **auto-heals authentication flows**. Meanwhile, we have a **24/7 on-call maintenance team** available, with **hands-on support** whenever human intervention is needed.\n\nIn real production environments for early-access partners (many of which are YC companies!), requests complete in **\\~3 seconds** with **99.9%+ success**, including deployments **above 1M requests/month/platform**. Requests are **executed live** and achieve low latency without data-caching.\n\nThe workflow is simple with minimal manual involvement:\n\n1. On Integuru, input the website and account you want to integrate with.\n2. Describe your desired feature in natural language. (No need to manually perform or record any actions.)\n3. Integuru proposes an API schema and, upon your approval, generates the endpoint in \\~10 minutes, along with API docs.\n\nEndpoints are **immediately testable** and **production-ready**. For authentication, we support 2FA and will coordinate with you.\n\nWe already support the majority of platforms today. If Integuru can’t yet handle your use case automatically, we’ll evaluate and provide hands-on support at no extra cost.\n\n### **🙋‍♂️ What industries have been using Integuru?**\n\nEarly-access partners are already using generated APIs in production across use cases, processing millions of requests per month with minimal human involvement.\n\n* Healthcare: connecting to EHRs, EMRs, RCMs, CTMSes, insurance portals, etc.\n  * We sign BAAs at no cost. You can sign a BAA directly in the product.\n* Logistics: integrating with TMSes, WMSes, ERPs, carrier portals, etc.\n* Proptech: automating property management systems, utilities, permitting software, etc.\n* Legal: controlling practice/case management systems, government portals, etc.\n* Enterprise AI transformation: accessing ERPs, CRMs, CX platforms, internal tools, etc.\n* … and more\n\n## 📚 **Backstory**\n\nOur first [open-source](https://github.com/Integuru-AI/Integuru) agent (4k+ stars) proved demand for robust integrations, but it couldn’t handle the complexity of modern platforms. So we did things that didn’t scale. We manually built and maintained integrations for customers, eventually supporting millions of API calls every month. That gave us a front-row seat to the messy reality of integrations. We tried turning those learnings into a self-serve product, but that version still wasn’t enough, so we kept dogfooding it while building customer integrations. Eventually, we rebuilt the self-serve product from the ground up, using insights we gathered around edge-case coverage, auto-healing, better UX, production reliability, and high-throughput execution. This is the product you see today, and companies are already using it to generate integrations that run reliably in production.\n\n## 🚀 **Try for free today!**\n\nInteguru is **publicly accessible** starting today and **free to try**!\n\nYou can **get started on your own** [here](https://app.integuru.com/), or **schedule an onboarding call [here](https://calendly.com/alan-taiki/integuru-guided-setup)** if you want us to set up everything for free or have specific questions.\n\n![uploaded image](/media/?type=post&id=101982&key=user_uploads/504669/89260a10-1e12-47b1-92b9-2e920e95b3e3)\n\n",
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        "full_name": "Emir Sahmanovic",
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        "id": 109451,
        "title": "Operations Manager",
        "url": "https://www.ycombinator.com/companies/forge/jobs/HYPf58T-operations-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109673,
        "title": "Head of Freight",
        "url": "https://www.ycombinator.com/companies/forge/jobs/63pdEdc-head-of-freight",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109675,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/forge/jobs/UN15zUc-sales-development-representative",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109676,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/forge/jobs/jz3xNXt-founding-gtm",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.20% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Engineer brothers found Forge to modernize hardware procurement | TechCrunch",
        "url": "https://techcrunch.com/2024/06/04/ex-meta-blue-origin-brother-engineers-raise-2m-to-solve-hardware-procurement/",
        "date": "Jun 04, 2024"
      }
    ],
    "launches": [
      {
        "id": 89310,
        "title": "Forge - Getting companies refunds on tariffs & duties",
        "tagline": "Recover 99% of import taxes on goods you export or destroy",
        "body": "**tl;dr:** Forge helps companies recover tariffs and duties paid on imported goods that are later exported or scrapped by automating a process called duty drawback. Most companies don’t file for drawbacks because it can be complicated & cumbersome. We solve this by taking on all the work for our customers from organizing data to filing, and automating it behind the scenes. Reach out to us at: [www.forgehq.com](http://www.forgehq.com).\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/89898/703a07d3-3dad-49eb-9cd3-1c80cd2719a9)\n\nHello everyone! We're Emir and Haris, two brothers and the co-founders of Forge! We’re here to help companies save money on their tariffs & duties.\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/44c70c94-7705-4dd2-8c02-215f92c83d2e)\n\n🧩 **The problem:**\n\nLast year, the US collected over $85 billion in import duties, and that number will increase dramatically with the newly established tariffs. However, when a business imports goods, they are allowed to claim a refund on the taxes they paid if they later export or scrap goods - this process is called duty drawbacks.\n\n$6 billion dollars of recoverable duties go unclaimed every year, and that was before Trump’s new tariffs. Most companies don’t file for drawbacks because the process is extremely cumbersome & complicated. The biggest companies have compliance teams & specialized customs brokers supporting them on multi-million dollar claims, but if you’re a small or medium-sized business, you have no options. Supply chain teams don’t have the time to manage all the work needed to run a drawback program, and brokers avoid supporting claims under $500k.\n\n💡 **Our solution:**\n\nOur team provides duty drawback as a white glove service while leveraging AI and custom internal tools to automate the work. This allows us to serve more businesses, while also requiring little to no effort from our customers. We file all paperwork with customs, extract all necessary data, and do the work to maximize their refund. The best part: it’s free upfront— we only get paid when our customers get paid.\n\nSupply chain & logistics are hard. Tariffs & duties make it even harder. We are here to make it easy for businesses to claim the revenue they deserve.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/8a06bd8f-bb66-428f-a439-d9727f160284)\n\n\\\n🙏 **Ask: How you can help**\n\nConnect us to importers, exporters, manufacturers, DTC brands, and any business impacted by the tariffs in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n\n* Check us out and talk with us at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/NEU-forge-getting-companies-refunds-on-tariffs-duties",
        "votes": 26,
        "created_at": "2025-04-07T21:36:45.016Z"
      },
      {
        "id": 77785,
        "title": "🛠️ Forge - Procure hardware and control spend on one platform",
        "tagline": "Collaborate with manufacturers, track orders from quote to delivery, manage purchase approvals, and more!",
        "body": "**tl;dr:** We’re bringing everything related to your team's hardware procurement under one platform. [Forge](https://www.forgehq.com/) makes it easy to get your parts made while also providing insight into your teammates' purchases, the status of their parts, and more. On top of this, we give companies the ability to set their procurement policies in a straightforward manner, making it simple for everyone to follow. **Request a demo at [www.forgehq.com](https://www.forgehq.com/)**.\n\nHello everyone! We're [Emir](https://linkedin.com/in/emir-sahmanovic-976b71b5) and [Haris](https://linkedin.com/in/haris-sahmanovic-438884126), two brothers and the co-founders of Forge! We’re on a mission to help hardware teams move faster.\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/f67f210b-2410-49ec-a452-9fa5eaf20b34)\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n\\\n🧩 **The problem:**\n\nGetting parts into engineers’ hands sets the pace for hardware companies. However, procurement teams use email, spreadsheets, and phone calls to manage billions of dollars of spend. This causes huge coordination issues as many engineers don’t know whose approval they might need, when parts are coming in, and who ordered what. We saw it over and over again at companies of all sizes: poor supply chain operations cause constant delays and bottleneck the pace of development. In 2023, engineers were estimated to spend over 6 hours per week on procurement activities.\n\n**💡 Our solution:**\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/d75081e4-05ee-4d46-84c7-c0bf54dfac90)\n\nOur software allows you to request quotes from your suppliers, where you can attach drawings and CAD. We then organize the quotes into a format that’s perfect for comparing your options. Once a supplier has been selected, you can continue to work with them by messaging, sharing files, and getting feedback directly on Forge. All these actions are viewable by your teammates, ensuring everyone is on the same page without the need for time-consuming meetings or searching through documentation.\n\n![](https://lh7-us.googleusercontent.com/ugOWDLKfrQ1vBzd6yGZ5v0K2sYRXfPy9B2clqANCArFWQZp_Ef68QtXryh9Nsrh5BGND-36ErJc2DUDj3QsBQIAY7SmXwNIdlX3ymAi9ycLecJm2Ir-iyzlNxJ6URwENwLBJ50xgGNFlqiG66AsGddU)\n\nMany companies struggle with unclear procurement operations. Forge offers a highly customizable tool for companies to publicly set their procurement flows in an easily readable manner. No more wondering who’s approval you need or what you’re waiting on. Even better - no IT team is needed for set up and changes can be made at any time!\n\nCombine all this with integrations into your other business software and you have a tool that makes collaborating with coworkers and manufacturers easier than ever before.\n[ ](https://www.youtube.com/watch?v=hifUYQdYGJI)\n\n**🙏 Ask: How you can help**\n\n* Connect us to engineers, procurement managers, or supply chain teams in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n* Check us out and book a demo at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/KEb-forge-procure-hardware-and-control-spend-on-one-platform",
        "votes": 47,
        "created_at": "2024-01-23T19:41:15.869Z"
      }
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    "id": 29500,
    "name": "The New Money Company",
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    "website": "https://newmoneycompany.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "The New Money Company protects invoices with insurance.\r\n\r\nWe help businesses expand to buyers in new markets or industries by offloading the risk of buyers not paying their bill.\r\n\r\nSupport number: +18889975745.",
    "one_liner": "Invoicing that pays you even if your buyer doesn’t",
    "team_size": 4,
    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1710863729,
    "tags": [
      "Fintech",
      "Payments",
      "B2B",
      "Insurance",
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "Fintech",
      "Payments"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/the-new-money-company",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/the-new-money-company.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/newmoneycompany",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/02bf32e1c7869c4a3a70d36bef72c5f5b93ad770.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 58508,
        "full_name": "Derrick Wolbert",
        "title": "Founder/CEO",
        "founder_bio": "CEO at The New Money Company. Previously built Hologram.com from zero to $20M ARR and closed a $65M Series B as head of revenue. In a previous life, Derrick built the embedded car computing platform used in Waymo vehicles. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/derrickwolbert",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a23b5607836971de100bdc255ac84ea464c400a2.jpg"
      },
      {
        "user_id": 1643519,
        "full_name": "Reuben Balik",
        "title": "Founder/CTO",
        "founder_bio": "Reuben is the CTO and co-founder of The New Money Company. Previously, he worked on the most difficult enterprise telecom integrations as the first engineer (and first employee) at Hologram.com. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/reuben-balik",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b33f28ca127ec0895b72526f8e41355885cb269.jpg"
      },
      {
        "user_id": 1452570,
        "full_name": "Q Carlson",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder, and CPO at The New Money Company. Early designer at Flexport (W14) 🚢 ✈️ 🚛 and Quizlet. VP Design at Hologram & project44.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/qcarlson",
        "x_url": "http://twitter.com/qcintheair",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3ebab68c8796032c0986b8f07b3f2505f3cf29c.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Cross-border fintech stands out in Y Combinator’s Winter 2024 cohort | TechCrunch",
        "url": "https://techcrunch.com/2024/04/05/cross-border-fintech-y-combinator-demo-day/",
        "date": "Apr 05, 2024"
      },
      {
        "title": "YC’s Winter 2024 Demo Day confirms that we are indeed in an AI bubble | TechCrunch",
        "url": "https://techcrunch.com/2024/04/03/ycs-winter-2024-demo-day-confirms-that-we-are-indeed-in-an-ai-bubble/#:~:text=picked%20it%3A%20Alex-,Numo,-What%20it%20does",
        "date": "Apr 03, 2024"
      }
    ],
    "launches": [
      {
        "id": 79553,
        "title": "Numo — Offshore banking & instant payments for global contractors",
        "tagline": "Meet Numo, filling the trust gap between businesses and international contractors by handling compliance, KYC, and payment.",
        "body": "# Numo is like upside-down Deel\n\n# TL;DR\n\n[Numo](https://numohq.com/) verifies and credentials global contractors and lets them earn and hold the USD they get from working for American companies. When they need to spend it, we transfer money instantly to their local bank account.\n\n**We launched last week, and have 105 contractors already live and onboarded on Numo, sending their first invoices.**\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/4a2d0978-bdb1-42d8-a223-5c8554db82a9)\n\n# Problem\n\n**Paying international contractors for short-term engagements is messy**. It’s full of remittance services whose brands are not conducive to trust or a professional environment and often look fraudulent to the uninformed. \\\n\\\n**For contractors, it’s even messier**. With expensive fees, slow transfer times, and fuzzy tax + compliance rules — we’ve seen our customers resort to funneling money through friends and families just to get paid. \\\n\\\nAnd the death blow for contractors is the hyperinflation many of their home currencies are experiencing. **Contractors work more every day for less money**. International contractors want to hold their funds in USD as long as they can, and then bring it back only when they need to spend.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/dd9fa8fc-a5f6-4452-840c-983c916dc798)\n\n# Solution\n\nSo we built Numo:\n\n1. Contractors can onboard and get verified, background checked, and launch their profiles.\n\n   ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/c7a8c8c3-c8e5-43b2-bb63-ca263a11ddbd)\n\n2. Every invoice they send via Numo to their clients is paired with their verified profile.\n\n   ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/ac16cb72-92bc-4a04-b8ed-fe2d6201e7b2)\n\n3. Their American clients get to pay the way they are most comfortable: ACH payment to a US bank account.\n\n   ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/a6370253-5288-4585-bc8d-545bacda9e58)\n\n4. Contractors can hold the USD they make stateside until the moment they need to spend it locally. They can transfer funds to their local account within 20 seconds without excessive fees.\n\n   ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/224d13fc-c6ef-423f-8750-437d738673b6)\n\n   ![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/de06e012-08e5-4ac3-8728-4c67339ae615)\n\n\n# We’re the team to build this\n\nWe all met working in the messy, terrible world of global telecom. We were the early operators at Hologram — a worldwide cellular network for IoT — taking the business from $0 to $20M ARR and through a successful Series B round.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/f8cd963f-353b-4bc5-8994-aaca6f3f0b83)\n\n_👆 The Numo team on the ground running onboarding events in Lagos, Nigeria._\n\n[Reuben Balik](https://www.linkedin.com/in/reuben-balik/) was the first engineer at Hologram. He led the integrations with some of the worst telco APIs from Verizon, Telus, Deutsche Telekom, and TIS into a unified SIM card platform.\n\n[Q Carlson](https://www.linkedin.com/in/qcarlson/) was the 2nd designer at Flexport and has crafted beautiful experiences in messy, hard industries like supply chain. He uses design to differentiate — attracting a premium for the product and accelerating growth.\n\n[Derrick Wolbert](https://www.linkedin.com/in/derrickwolbert/) ran the GTM team at Hologram from zero through Series B. Before Hologram, he navigated complex bureaucracy at Jeep/Chrysler, building the infotainment platform Waymo relies on in their vehicles.\n\n![uploaded image](/media/?type=post&id=79553&key=user_uploads/1452570/b005abd6-ee98-4c73-b11d-cb69a5067edb)\n\n_Numo founders in Dogpatch 👆_\n\n# \n\n# Ask\n\nAre you using international contractors in your business? Ask them to invoice you using [Numo](https://numohq.com)!\n\nWe’re live in Nigeria. With Kenya, South Africa, Vietnam, Thailand, Malaysia, and the Philippines coming very soon.\\\n\\\n—\n\nGet in touch with the team:\n\nDerrick Wolbert, CEO — derrick@newmoneycompany.com\\\nQ Carlson, CPO — q@newmoneycompany.com\\\nReuben Balik, CTO — reuben@newmoneycompany.com",
        "url": "https://www.ycombinator.com/launches/Kh7-numo-offshore-banking-instant-payments-for-global-contractors",
        "votes": 18,
        "created_at": "2024-03-20T19:48:11.544Z"
      }
    ]
  },
  {
    "id": 29501,
    "name": "Latted",
    "slug": "latted",
    "former_names": [
      "Fume Test",
      "Fume"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b29e2d502cf6d25b0468bc3a78f72aad18346f8.png",
    "website": "https://latted.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Latted is an all-in one tool to generate and edit professional AI video projects.\r\n\r\nAll professional AI video projects take more than a single generation. You need to juggle between hundreds of images and videos and use multiple tools to edit your project.\r\n\r\nWith Latted, you can generate a 10-minute long video from a single prompt or generate and edit your project from scratch.\r\n\r\nThousands of creators use Latted for marketing videos, content creation and educational content. Create your first project today at latted.com!",
    "one_liner": "A Unified Editor For AI Video",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1705822020,
    "tags": [
      "B2B",
      "Video",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/latted",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/latted.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "https://x.com/home",
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    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1573638,
        "full_name": "Emre Gucer",
        "title": "Founder",
        "founder_bio": "co-founder and CEO @ Fume. former Northwestern student, now an LLM aficionado.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aegucer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bb275cf7d93d7330b81813fa3640a9cbd381268.jpg"
      },
      {
        "user_id": 1611827,
        "full_name": "Metehan Öz",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO @ Fume. A former NYU student. Now hacking around with LLMs.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/metehan-oz-a39981251",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef7c033e9400f58d04bed6d46f48e40d9c0d42da.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 79085,
        "title": "Fume - AI SWE that solves bugs within Slack",
        "tagline": "A Slack bot that you can assign software tickets and get full PRs in response",
        "body": "**TL;DR** You can tag @Fume under any feature or bug ticket in Slack. Fume will make a plan, write code, and submit a PR in minutes. [**Try it now! No waitlist. No 'contact sales'.**](http://fumedev.com)\n\nHey folks! We are [Emre](https://linkedin.com/in/aegucer) and [Mete](https://linkedin.com/in/metehan-oz-a39981251). We’re currently building Fume to automate the boring parts of developing software. Before that, we were roommates in high school and partners in crime, building fighting bots.\n\n![uploaded image](/media/?type=post&id=79085&key=user_uploads/1573638/314fd0c9-7a62-4aa6-9e91-6d29c4cec454)\n\n### 💥**Problem**\n\nNot every software task requires human creativity. Some are just boring and have to be done. Engineers end up procrastinating on them at the cost of user experience. On the other hand, doing them costs companies thousands of dollars every year.\n\n### 🤩 **Not Anymore**\n\nFume automates mundane software work like fixing bugs, error logs, or minor features through Slack. A non-technical team member can send screenshots & reproduction steps for a bug and an engineer can tag @Fume to solve it within minutes without opening a code editor.\n\n![uploaded image](/media/?type=post&id=79085&key=user_uploads/1573638/85ea9b9a-969c-4552-9e19-e1437d3f5d55)\n\n### 🙏 **Our Ask**\n\nGive Fume a try right now! Go to [fumedev.com](http://fumedev.com) and enjoy the free trial. If you think you are not ready to start using Fume, tell a friend about it 😉\n\nIf you are in a larger organization but want to try Fume in your team, contact me at [emre@fumedev.com](mailto:emre@fumedev.com). ",
        "url": "https://www.ycombinator.com/launches/KZZ-fume-ai-swe-that-solves-bugs-within-slack",
        "votes": 508,
        "created_at": "2024-03-05T21:32:54.482Z"
      }
    ]
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        "full_name": "Jasper Story",
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      {
        "id": 78573,
        "title": "✨ Yarn – Make pro-quality product and sales videos with AI",
        "tagline": "Creating a Yarn takes minutes, no video experience required.",
        "body": "**tl;dr:**\n\n* [Yarn](https://www.yarn.so/) lets anyone - founders, salespeople, or marketers – create pro videos in minutes.\n* Teams are using Yarn for sales collateral, launch videos, use-case demos, training guides, and feature updates for Twitter and LinkedIn.\n* [Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo)\n\nWe're Jasper and Nicole. Jasper used to make ads for Google and Nicole is a former quant/particle physicist. Now, we're on a mission to let anyone create great video shorts for work.\n\n![uploaded image](/media/?type=post&id=78573&key=user_uploads/1156578/aaa64aca-cfe0-4625-a108-e078c37ad82d)\n\n---\n\n---\n\n—\n\n## **Great videos are too hard to make**\n\nVideo is the most compelling medium for sales and marketing: on LinkedIn, [videos are shared 20x more](https://www.linkedin.com/business/marketing/blog/social-media-marketing/how-to-grow-your-organic-following-on-linkedin) than any other post type. But making videos is still way too hard:\n\n* **Legacy video editing workflows take 1-4 hours to make even short videos** – you'll chain together multiple tools, and your videos will be hard to update, reuse, or personalize.\n* **Self-recording a compelling 60-second video is almost impossible** – and your prospects won't watch your 4-minute Loom. Some tools add fancy effects, but these can distract from your product, your story, and your brand.\n* **Agency videos are super-expensive and go out of date immediately** – save the $10k+ and weeks of email back and forth for your splashy Series A announcement.\n\n—\n\n## **How does Yarn work?**\n\n* **Yarn uses AI** to help you make videos like Notion or Linear.\n* **No video experience required** – you make and edit your video like a doc.\n* **Voiceovers are all AI magic** – choose from a library voice or match your own – so it's easy to tweak, reuse, and personalize.\n* **Everything looks great out of the box** and is branded specifically for your startup. \n* **Add founder video intros** for when the personal touch matters.\n\n[Yarn Demo (made in Yarn)](https://www.youtube.com/watch?v=r2EnVL2P0_M)\n\n—\n\n## **How are teams using Yarn?**\n\n* DriverAI (W24) is building per-role sales demos as they sell into Fortune 500.\n* Replo (S23) is making new marketing content faster than ever.\n* Forge (W24) is creating sales collateral to transform procurement for rocket companies.\n* [Example: Introducing Abel (00:58)](https://www.yarn.so/v/Introducing-Abel-sNlnxSF4aG1IlgOhwm0ggZqI)\n* [Example: Driver AI (1:01)](https://www.yarn.so/v/Driver-AI-Demo-0kuSVcD2t1FaWHS0PvYTz7zl)\n\n—\n\n## **How do I get access?**\n\n[Book a 15 minute demo](https://calendly.com/jasper-yarn/yarn-demo) or email [jasper@yarn.so](mailto:jasper@yarn.so) to try Yarn with your team.",
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        "body": "## We’re launching an **AI agent for Construction Drawings Review**. It automatically scans drawings, specs and building codes to catch issues _before_ they turn into rework, delays, lawsuits, and margin erosion.\n\n### **The Problem**\n\nEvery construction project is slowed down by drawings mistakes:\n\n* Building code violations\n* Dimensions that don’t match between structural, architectural, civil, MEP drawings\n* Materials mismatch for doors, windows, cabinets etc.\n* Ownership/responsibility confusion\n\nThese inconsistencies cause rework, schedule delays, and frustrated clients. They happen on **every project**, and can cost **6-7 figures per job**. \n\nHumans aren’t the best to check hundreds or thousands of pages.\n\n### **Our Solution**\n\nAn AI agent analyzes all project documents, architectural / structural / civil / MEP drawings, project specifications, and building codes, and flag issues like dimension mismatches, materials mismatches, ownership/responsibility confusion, missing info, ADA/code red flags, and uncoordinated addenda.\n\n![uploaded image](/media/?type=post&id=95694&key=user_uploads/1753502/f4847fca-af87-4839-91bf-d3059e73674d)\n\nIt’s simple: you upload your project documents in PDF. DONE. AI will prepare the issues list that is easy to review in our web app.\n\nNo workflow change. No training. Just fewer errors and better margins.\n\nWe’re already running our agent on Tenant Improvement, K-12, civic, industrial, healthcare, affordable housing, and residential projects.\n\nIt recently saved a GC $2M in rework for a $100M project due to a material mismatch.\n\n### **Demo Video**\n\nhttps://www.youtube.com/watch?v=mm24TApb8bg\n\n### **Call to Action**\n\n**General Contractors, developers, architects, engineers, and owners:** Want us to run Checker on your next project? Email me directly: [**aakash@inspectmind.ai**](mailto:aakash@inspectmind.ai)\n\nAakash & Shuangling\\\nInspectMind AI (YC W24)",
        "url": "https://www.ycombinator.com/launches/OtS-inspectmind-ai-the-ai-checker-agent-for-construction",
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        "id": 88545,
        "title": "InspectMind: AI-Powered Field Inspections",
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        "body": "Demo video <https://youtube.com/shorts/k8aC4f4JKME?feature=share>\n\nHello YC Community! **We’re InspectMind,** and we’re revolutionizing field inspections and report generation with AI. Over the past six months, we’ve engaged with engineers, contractors, and field technicians to understand their reporting challenges. As a result, we’re excited to introduce our expanding library of templates—built with direct customer feedback—to help users streamline their reporting and reduce manual work.\n\n## **The Problem**\n\nField professionals—whether in **construction, engineering, insurance, real estate, or utilities**—spend too much time on **manual report writing**, slowing down projects and increasing costs. Traditional reporting is tedious, error-prone, and inefficient.\n\n## **Our Solution**\n\nInspectMind is an **AI-first** inspection tool that **automates report writing**, saving you **up to 80% of your time**. Our platform enables professionals to **quickly generate accurate, high-quality Word file reports** using pre-built templates tailored for various industries all in one app.\n\n### **Key Features:**\n\n* **AI-Generated Reports** – Automated field reporting, reducing manual work.\n* **Industry-Specific Templates** – Pre-built formats for field inspections, job site observations, structural evaluations, forensic assessments, home inspections, and more.\n* **Real-Time Collaboration** – Teams can work together seamlessly.\n* **Custom Report Formatting** – Tailored outputs for your specific workflow.\n* **Simple, Transparent Pricing** – Plans starting at $100/month.\n\n## **Why Now?**\n\nWith increased demand for **faster project delivery** and **more efficient inspections**, AI-driven solutions are becoming a necessity. InspectMind is here to **modernize field reporting**, making it **faster, smarter, and more accurate**.\n\n## **Join Us**\n\n* **Try InspectMind Today** → [InspectMind.ai](http://InspectMind.ai)\n* **Book a Demo** → [Schedule Here](https://calendly.com/aakash-prasad91/inspectmind-ai-demo)\n* **We’d love to hear from you**. If you’re an inspector, engineer, or contractor, drop us a comment or DM us.\n\n![uploaded image](/media/?type=post&id=88545&key=user_uploads/1753502/2eb9175b-0724-42be-aa11-085d00eb1fd4)\n\n",
        "url": "https://www.ycombinator.com/launches/N29-inspectmind-ai-powered-field-inspections",
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        "id": 77502,
        "title": "InspectMind AI: Your AI Copilot for Inspections",
        "tagline": "Future of construction inspections",
        "body": "**tl;dr**: [InspectMind AI](https://www.inspectmind.ai/) is revolutionizing construction inspections by transforming on-site voice and visual data into detailed, accurate reports 10x faster. For inspectors, we’re cutting down tedious report-writing time, boosting accuracy, and enhancing overall workflow efficiency. Check out our [iOS app](https://apps.apple.com/app/inspectmind-ai/id6475725008) or [web app](https://app.inspectmind.ai) and step into the future of construction inspections!\\\n\\\nHi everyone, we're [Aakash](https://linkedin.com/in/aakashprasad) and [Shuangling](https://linkedin.com/in/shuangly), the founders of InspectMind AI!\n\nAakash (CEO), who founded a tech-enabled architecture and engineering firm as a teenager and scaled it to a $15M annual run rate, has teamed up with Shuangling (CTO), previously a software engineer at Airbnb and Google. Together, they are building InspectMind AI towards a future where AI-driven inspections are the norm.\n\n**The Problem**\\\nConstruction inspectors are burdened with time-consuming report writing after site visits, leading to delays and reduced work quality.\n\n**Our Broader Vision**\n\nWhile we are currently focusing on the AEC (architecture, engineering, construction) sector, our technology has the potential to revolutionize inspection workflows across multiple industries, including real estate, aerospace, manufacturing, and more. The core inspection workflow remains consistent across these fields, offering a vast opportunity for expansion, with an AI-first B2B SaaS business model.\n\n**Our Solution**\n\nInspectMind AI’s app efficiently processes voice and visual data from site visits to produce detailed and user-friendly inspection reports, cutting down report writing time by 10x and significantly enhancing accuracy.\n\nBelow is an example of a structural observation:\n\n![uploaded image](/media/?type=post&id=77502&key=user_uploads/325995/0332c3cc-baf1-4f65-a486-6a26f2257b56)\n\n**Our ask 🙏**\n\nIf you know inspectors or professionals who deal with site visits regularly, download our [iOS app](https://apps.apple.com/app/inspectmind-ai/id6475725008) or [web app](https://app.inspectmind.ai), and let’s get in touch! [admin@inspectmind.ai](mailto:admin@inspectmind.ai)\n\nHere's to a future where inspections are more about insights and less about paperwork.\n\nCheers,\n\nAakash and Shuangling",
        "url": "https://www.ycombinator.com/launches/KA2-inspectmind-ai-your-ai-copilot-for-inspections",
        "votes": 23,
        "created_at": "2024-01-16T15:26:24.381Z"
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        "full_name": "Elle Smyth",
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        "full_name": "Sarah Hamer",
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        "founder_bio": "Sarah graduated as an industrial engineer from Georgia Tech, was very involved in GT's entrepreneurship community and started her career at Microsoft. After a few years she missed the crazy, fast-paced startup life, and made the switch to Stord – a unicorn supply chain software startup. It was there that she saw retail compliance pain points first hand, met her co-founder, and decided to start RetailReady.",
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        "title": "Full Stack Software Engineer ",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/wEGXWv4-full-stack-software-engineer",
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        "title": "YC grad, RetailReady raises $3.3M for an AI warehouse app that hopes to save brands billions | TechCrunch",
        "url": "https://techcrunch.com/2024/06/12/yc-retailready-warehouse-shipping/",
        "date": "Jun 12, 2024"
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        "id": 78869,
        "title": "📦 RetailReady - Automating supply chain compliance",
        "tagline": "Digitizing warehouse processes from 100+ page manuals to a mobile app.",
        "body": "We’re [Sarah](https://linkedin.com/in/sarah-hamer-881bb6126) and [Elle](https://linkedin.com/in/ellesmyth) and we’re excited to launch [RetailReady](https://www.retailreadyai.com/)!\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/58c8581b-0fa1-40eb-8b25-f3a638e32261)\n\n# \n\n# **⏪ Backstory**\n\nBefore we joined YC, we worked at a supply chain unicorn startup called Stord where our jobs involved making their warehouse shipping facility run efficiently. While we were there, we realized that operations still largely relied on paper to pack an order correctly. Let me explain what actually happens in the warehouse when you order something from Walmart…\n\n# **🎯 TL;DR**\n\nEvery time workers in a warehouse box an order, they are supposed to reference 100+ page manuals that include precise packing instructions like where to put the shipping label. It’s not practical for warehouse workers to check the manuals on every order, and thus mistakes happen. These mistakes result in hefty fines, amounting to $40B annually! RetailReady’s mobile application replaces the paper manuals, making it easy to stay compliant and mitigate these fines, without any training time or integrations required.\n\n# 🔍 **Problem**\n\nRetailers (e.g. Walmart, Amazon, Target) outline unique shipping requirements for brands (think Dove, Hanes, Stanley) through 100+ page manuals called routing guides. If retailers receive a non-compliant shipment such as incorrect label placement, they issue brands a compliance violation fee, called chargebacks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/3c7c8568-5137-44f9-bd62-b58db6a1e27e)\n\n_An example from page 227/399 of Walmart’s guidelines…_\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/24f203b7-3b94-4fb4-a5f7-36aa04afaa1e)\n\n_…And how these shipping guidelines manifest on the warehouse floor today_\n\nOn average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated **$40B worth of retailer chargebacks per year.**\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/0a42156f-e506-4efd-83a2-1ba958617c96)\n\n_A subsection of violation fees outlined in a retailer routing guide_\n\nOn the flip side, when retailers receive these orders from brands, their warehouse team also uses their own printed routing guides to determine whether or not a shipment is compliant, and then manually enter associated fines into a spreadsheet. 10-12% of all orders retailers receive are deemed non-compliant and **require 2X the labor time**.\n\n# **🦾 Solution**\n\nRetailReady is the ultimate retail compliance solution for all stakeholders, requiring no training time or integrations.\n\n**Third-Party Logistics (3PLs):** Our user-friendly mobile application ensures operational shipping compliance to retailers. Our software ingests retailer routing guides and translates them into step-by-step workflow tasks while providing a visual repository of every order for dispute resolution. \n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/7a4fe104-9286-477a-acc9-5876923aad93)\n\n**Brands:** Our dashboard offers insights into your or your 3PL's operations, allowing you to upload chargebacks. This data enhances our model, tailoring your packing process with extra validation checks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/d292d505-6763-4b3b-8d1d-778251eaa478)\n\n**Retailers:** Our retailer mobile app automatically detects and records shipping compliance errors from vendors, speeding up revenue generation and increasing labor efficiency. \n\n# **👋Our Ask**\n\n* If you know any brands / 3PLs that are struggling with retailer compliance or retailers that are struggling with vendor compliance, we’d love warm intros! Email us at [founders@retailreadyai.com](mailto:founders@retailreadyai.com) \n* If you are a brand / 3PL / retailer that is interested in our solution, [schedule](https://cal.com/retail-ready) a demo with us!\n* Are you or do you know a rockstar software engineer? Fill out [this](https://forms.gle/fWxHBTn9ovmQen328) form! We’ll be looking to hire a founding engineer in the coming months.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/retailreadyai/) for weekly blog posts!",
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        "title": "Founder",
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        "url": "https://www.ycombinator.com/companies/coval/jobs/sFLtjLc-account-executive",
        "location": "San Francisco, CA, US",
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        "url": "https://www.ycombinator.com/companies/coval/jobs/ILkSK7r-founding-product-engineer",
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        "url": "https://www.youtube.com/watch?v=eSm_9tb5ZbY",
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      {
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        "url": "https://www.axios.com/pro/enterprise-software-deals/2026/06/24/coval-ai-voice-agents-enterprise",
        "date": "Jun 24, 2026"
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        "url": "https://techcrunch.com/2025/01/23/coval-evaluates-ai-voice-and-chat-agents-like-self-driving-cars/",
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      {
        "id": 83700,
        "title": "Coval - Simulation & Evaluation for AI Agents",
        "tagline": "Ship AI agents faster with a simulation and evaluation platform for chat and voice assistants.",
        "body": "Teams are racing to market with AI agents, but slow manual testing processes are holding them back. Engineers currently spend hours manually evaluating and playing whack-a-mole just to discover that fixing one issue introduces another.\n\nAt Coval, we build automated simulation and evaluation for AI agents inspired by the autonomous vehicle industry to boost test coverage, speed up development, and validate consistent performance.\n\nWe have a waitlist, but YC companies go first! Grab some time here: <https://bit.ly/coval-demo>\n\n![uploaded image](/media/?type=post&id=83700&key=user_uploads/1019731/e39b0b4e-22ea-4e62-85a4-d5421cafb7d5)\n\n# **Our Story**\n\nHey! I’m [Brooke](https://www.linkedin.com/in/bnhop/), the founder of [Coval](https://www.coval.dev/). 👋\n\nBefore starting Coval, I led the evaluation job infrastructure team at [Waymo](https://waymo.com/). I coded the first versions of our dataset storage and other foundational simulation systems, and my team built all of the dev tools for launching and running evals.\n\nThrough my conversations with hundreds of engineering teams at startups and enterprises, I've seen that AI agents—models that operate independently and handle complex tasks—are facing similar challenges to those in self-driving. \n\nIn the early days, autonomous vehicle companies relied heavily on manual evaluation, testing the self-driving cars on racetracks and city streets (remember when autonomous cars still had safety drivers?). However, as startups scaled, a significant shift happened: we moved towards simulating every code change in a “virtual” environment, using the vast amounts of data we collected. The new approach dramatically improved vehicle behavior, leading to hundreds of autonomous cars zipping around the San Francisco streets today!\n\nThis story mirrors what's happening today with AI agents across various industries. Teams are coming up with promising prototypes but often hit a wall when it comes to their reliability. \n\nAs we build for the future, where AI agents execute much of our work, ranging from sending emails to prescribing medication, the risks posed by untested systems could severely throttle the progress.\n\nAt Waymo, I developed tools that tested each code modification made by engineers, ensuring that every change improved the Waymo Driver's performance. I believe this methodical approach was key in helping our team address edge cases and maintain peak performance, and it ultimately cemented Waymo's status as a leader in the autonomous vehicle space.\n\nNow, at Coval, we’re taking these proven strategies and adapting them in a completely new way to speed up the development of AI agents. Our goal is to help engineers build agent experiences that genuinely work for users in the real world.\n\nAutomated simulation and evaluation are critical to trusting agents with impactful tasks across industries.\n\n# **Working With Us**\n\nBuilding agents or know someone? Let’s talk! [Grab time with me here](https://bit.ly/coval-demo) for a quick intro, or message me at [brooke@coval.dev](mailto:brooke@coval.dev).",
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        "full_name": "Peter Marler",
        "title": "Founder/CEO",
        "founder_bio": "Peter, CEO of Superunit, leads his second venture after founding the VC-backed Robin Golf. His career spans roles at Facebook, Quantifind, and NBCUniversal. He holds an MBA from Stanford.",
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        "founder_bio": "Zach is a software engineer who spent years building payments infrastructure at Stripe and Index. He hold two Computer Science degrees from Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zachary-yellin-flaherty/",
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        "title": "Superunit: We automate the most soul-crushing job in background checks",
        "tagline": "Employment verifications, end-to-end.",
        "body": "Hi we’re Peter and Zach from Superunit.\n\n**TL;DR:** Background screeners and banks have used us to process over 70,000 employment verifications. Our platform handles handles phone calls, emails, faxes, and compliance end-to-end.\n\n**❌ Employment verifications are soul-crushing, but necessary**\n\nEvery time someone gets hired, applies for a mortgage, or needs a background check, someone has to verify they actually worked where they said they did.\n\nThis means millions of phone calls per year to HR/payroll/admin departments. Leaving voicemails. Sending emails. Sending faxes (yes, in 2026). Waiting days for callbacks. Calling back. Getting transferred. Leaving more voicemails.\n\nBackground screeners and banks hire armies of people to do this. It's tedious, expensive, and the turnover is bad because the job is mind-numbing.\n\n**💡 What we built**\n\nSuperunit handles employment verifications end-to-end. We do contact research, call HR/payroll/admin departments, navigate phone trees, handle documents, send emails and faxes, and and publish the results back to your ERP.\n\n**🎬 See it in action**\n\n— Watch Ava Do an Employment Verification — \\\n<https://youtu.be/iYKBcB-Y1Vo>\n\n— Check Out the Platform —\\\n[https://youtu.be/Z-s7F7sqbmE](https://youtu.be/iYKBcB-Y1Vo)\n\n**📊 Traction**\n\n* **65% results obtained**\n* **1 business day** average turnaround\n* **40+ customers** - Banks and background screening companies\n* **70,000 verifications processed**\n* **98% conversion rate** from pilot to full time\n* Two **top-10 background screeners signed**; all top 4 background screeners by revenue in active pipeline.\n\n**🔥 What customers say**\n\nOne customer: _\"If I have this technology, we will dominate the field.\"_\n\nA mortgage lender scaled their loan volume **20x** while keeping their verification team at just **2 people** - they avoided hiring 12 additional heads.\n\nAnother said: _\"You were a game-changer when we were in a really tight spot. We were growing quickly and losing customers because we couldn’t meet their expectations.\"_\n\n**🎯 But Why**\n\nWe pivoted a few months after demo day. We had been told by a product leader at Checkr that employment verifications were “soul crushing.”\n\nWe got curious.\n\nWe started building in January 2025, signed our first customer in March, signed a series C customer in April, signed a top-5 screener in September, signed our first mortgage lender shortly after, crossed 10k, then 50k, then 70k verifications processed, with many more to go!\n\n👥 **Team**\n\n[Zach Yellin-Flaherty](https://www.linkedin.com/in/zachary-yellin-flaherty/) - CTO - ex-Stripe, ex-Index, Stanford BS/MS in CS\n\n[Peter Marler](https://www.linkedin.com/in/marler/) - CEO - 2x founder, ex-Facebook, ex-Quantifind, Stanford GSB\n\n**🙏 Our ask**\n\n* Are you doing employment verifications when hiring? Text me\n* Are you bored of people calling your team to get employment verifications? Text me\n* Play golf with people who work at mortgage lenders? Text me!\n\n**Phone:** (518) 207-5511\n\n**Email:** [peter@superunit.ai](mailto:peter@superunit.ai)\n\n👉 [superunit.ai](https://superunit.ai)",
        "url": "https://www.ycombinator.com/launches/PLS-superunit-we-automate-the-most-soul-crushing-job-in-background-checks",
        "votes": 15,
        "created_at": "2026-02-03T17:47:01.687Z"
      },
      {
        "id": 82712,
        "title": "Superunit 💆🏼‍♂️ AI accounting agents for companies selling physical products",
        "tagline": "Effortlessly automate accounting, integrate inventory data, and eliminate financial statement errors",
        "body": "**🙈 TL:DR:** Companies selling physical products spend a fortune on accounting and are still left with incorrect financials because of inventory related complications. We fix that.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/a2949d25-3407-403c-88d4-f6f9beff9ce7)\n\n🥵 **PROBLEM**: Companies selling physical products struggle with accounting and inventory operations. Current bookkeeping methods rely heavily on manual input and are often disconnected from accurate inventory data. This leads to mistakes in important financial figures like cost of goods sold (COGS), inventory value, margins, and cash flow. As a result, businesses spend a lot of time and money only to gain an inaccurate picture of their financial health. These inaccuracies lead to poor budgeting decisions, loan rejections, failed fundraising, non-compliance, and frequent cash flow crises.\n\n😍 **OUR SOLUTION:** A powerful AI accounting agent built specifically for companies selling physical products.\n\nOur platform automates bookkeeping and completes a variety of crucial product operations tasks such as calculating COGS, optimizing POs, and conducting contribution margin analysis with only a few clicks.\n\nAll financial and inventory data is connected and written back to QBO or your ERP, eliminating financial statement errors, saving dozens of hours per month, and thousands on accounting costs.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/56544b6d-0310-4c0e-a398-09bdb3945f94)\n\n💡 **THE INSPIRATION:** As the founder of Robin Golf, [Peter](https://www.linkedin.com/in/marler/) encountered this problem frequently. Doing the financials required an expensive team and the books were always inexplicably wrong. As as a result, the company was underwritten for debt and equity incorrectly, wasn’t able to make proper budgeting decisions, couldn’t forecast inventory needs, couldn’t optimize channel mix, and was blindsided by cash shortfalls.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/46551b06-df3e-4d8c-bc8e-46a92a333bf8)\n\n👬 **THE TEAM**: [**Peter Marler**](https://www.linkedin.com/in/marler/) (CEO) was the co-founder/CEO of Robin Golf, a venture backed, multichannel golf equipment company. Prior to that he held roles at Facebook, Quantifind, and NBCUniversal. He is a graduate of Stanford GSB.\n\n[**Zach Yellin-Flaherty**](https://www.linkedin.com/in/zachary-yellin-flaherty/) (CTO) previously built payments infrastructure at Stripe and Index. He holds two Computer Science degrees from Stanford.\n\n🙏🏼 **ASK:** We’re onboarding customers and looking to grow! We’d love intros to CEOs/CFOs/COO of companies selling physical products - ecomm brands, wholesalers, retailers, dropshippers.\n\n🔗 **LINKS:** Connect with us on these platforms in the meantime!\n\n[**Company Linkedin**](https://www.linkedin.com/company/unit-iq/)\n\n[**Peter Linkedin**](https://www.linkedin.com/in/marler/)\n\n[**Zach Linkedin**](https://www.linkedin.com/in/zachary-yellin-flaherty/)\n\n[**Peter Twitter**](https://x.com/peter_marler)",
        "url": "https://www.ycombinator.com/launches/LW4-superunit-ai-accounting-agents-for-companies-selling-physical-products",
        "votes": 10,
        "created_at": "2024-08-05T01:44:25.456Z"
      }
    ]
  },
  {
    "id": 29607,
    "name": "ProhostAI",
    "slug": "prohostai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "website": "https://www.prohost.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "ProhostAI is building an AI Property Manager for short-term rental hosts on Airbnb and other platforms. Our team consists of an ex-Airbnb Staff Data Scientist and Dropbox Sr Software Engineer who are also Superhosts with 9 properties worth $15M making $1.5M/yr.",
    "one_liner": "AI Property Manager for Airbnb & Short-Term Rental Hosts",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1722581917,
    "tags": [
      "SaaS",
      "B2B",
      "Travel",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prohostai",
    "x_url": "https://twitter.com/prohostai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/prohostai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/069321145273b85ba7d87787840c61562c041b8f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 1847372,
        "full_name": "Bill Ulammandakh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at ProhostAI. Previously Staff Data Scientist at Airbnb, Etsy, Thumbtack and Wayfair. Harvard undergrad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bulam/",
        "x_url": "https://twitter.com/bilguunu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5b1132f4d19cd96295cfd328da8dbc1171b3751.jpg"
      },
      {
        "user_id": 1847465,
        "full_name": "Andrew Lawson",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at ProhostAI. Previously Software Engineer at Dropbox, JWPlayer, and others.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aeriklawson/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/878fe6c85fddbb90bc9ac6505c46283c5aaca110.jpg"
      }
    ],
    "jobs": [
      {
        "id": 68411,
        "title": "Founding Engineer, Full Stack",
        "url": "https://www.ycombinator.com/companies/prohostai/jobs/E50Yl4C-founding-engineer-full-stack",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $180K",
        "equity_range": "0.20% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101922,
        "title": "ProhostAI 🏨 AI Employees for Property Management and Hospitality",
        "tagline": "Meet ProhostAI — AI employees that answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, and run hospitality operations from one AI-native OS.",
        "body": "Hi YC! I’m Bill from the ProhostAI team.\n\n**TL;DR:** We're launching AI employees for property management and hospitality. They answer guests, take calls, coordinate cleanings, create tasks, build guidebooks, drive bookings, and help run operations — from one AI-native OS. 8,000+ properties on the platform today. Founded by a team from Airbnb, Dropbox, and Guesty (Harvard + Yale) — and we're property managers ourselves, running a $12M AUM portfolio. Backed by Y Combinator, Pear VC, and other investors. [Try it →](https://prohost.ai/ai-employees)\n\n![uploaded image](/media/?type=post&id=101922&key=user_uploads/1847372/9e218d0a-16c5-4285-8de3-e6374d1ad16b)\n\n## The problem\n\nProperty management and hospitality teams still run operations through a tangled stack: inboxes, PMS tools, spreadsheets, phone calls, manual coordination, and a dozen point solutions that don't talk to each other.\n\nThe \"AI\" in this space today is mostly chatbots that answer guest messages. That's a feature, not a workforce.\n\n## What we built\n\nProhostAI's AI employees do real operational work — alongside the humans running the business. They can:\n\n* **Answer guests** across Airbnb, Vrbo, [Booking.com](http://Booking.com), SMS, WhatsApp, email — omnichannel and context-aware\n* **Take and place phone calls**\n* **Create and assign tasks** to teammates\n* **Coordinate cleaners** and schedule turnovers\n* **Power guidebooks** for properties and businesses\n* **Drive bookings and upsells**\n* **Keep human teammates aligned** across operations\n* **Run AI workflows** across the operational lifecycle\n\nOne AI-native OS — built so human teams and AI employees can work side by side.\n\n## The AI employees available for hire:\n\nOur AI employees are available across different professions:\n\n* **Gabby** — Guest Experience Manager\n* **Claudia** — Cleaning Manager\n* **Miles** — Maintenance Manager\n* **Rex** — Revenue Optimizer and PriceLabs auditor\n* **Owen** — Owner Relations Manager\n* **Regina** — Reputation Manager\n* **Grace** — Guidebook Manager\n* **Finn** — Finance Manager\n* **Quinn** — Quality Inspector\n* **Gina** — General Manager\n* **Vera** — Virtual Assistant\n\nHire the ones you need; add more as you scale.\n\n## MCP — bring your own agents\n\nWe ship an MCP (Model Context Protocol) server, so other AI agents — Claude, ChatGPT, custom in-house agents — can collaborate directly with the ProhostAI AI employees. If you've already built AI workflows, plug them in instead of starting over.\n\n## Why now\n\nThe next generation of hospitality companies will be run by human teams working side by side with AI employees. We're starting with short-term rentals because the work is high-volume, repetitive, and deeply operational — exactly where AI teammates make an immediate difference.\n\nFrom there: vacation rental managers, boutique hotels, broader hospitality and property operations.\n\n## Traction\n\nProhostAI now supports **8,000+ properties on the platform**, including paid customers and operators using our feature-rich free plan. Founded by a team from **Airbnb, Dropbox, and Guesty** (Harvard + Yale alumni) — and we're property managers ourselves, running a **$12M AUM short-term rental portfolio**. We use ProhostAI every day. Backed by **Y Combinator, Pear VC, and other investors**.\n\n## Our backstory\n\nWe've been deep in this space and have watched operators copy-paste the same messages thousands of times, miss calls overnight, lose cleanings to chaos, and string together five tools to do what one OS should handle. We built ProhostAI to make AI employees the new labor layer for hospitality — not another dashboard, not another inbox.\n\n## Our ask\n\n* **If you run STR, vacation rentals, or hospitality ops** — connect Airbnb or your PMS and your first AI employee can start helping in minutes: [prohost.ai/ai-employees](https://prohost.ai/ai-employees)\n* **If you know property managers, hosts, or hospitality teams** who'd benefit — please share or intro\n* **If you want to chat** — DM me on Bookface or email [bill@prohost.ai](mailto:bill@prohost.ai)\n* **For press/media:** [press kit (logos, screenshots, GIFs)](https://drive.google.com/drive/folders/1kQEauMZYT4H-fXADYS9bNvgHQ1AjBN7q?usp=sharing)\n\nThanks YC 🚀\n\n— Bill &amp; the ProhostAI team",
        "url": "https://www.ycombinator.com/launches/QVu-prohostai-ai-employees-for-property-management-and-hospitality",
        "votes": 3,
        "created_at": "2026-05-25T14:48:51.997Z"
      },
      {
        "id": 83739,
        "title": "ProhostAI - AI property manager for Airbnb hosts",
        "tagline": "AI property manager assistant for hosts on Airbnb and other booking platforms.",
        "body": "[**ProhostAI**](https://www.prohost.ai/) **is an AI property manager assistant for hosts on Airbnb and other booking platforms.**  We run 9 Airbnb properties as Superhosts (4.99+ rating) worth $15M, and our AI automations have already cut our own costs by 30% and automated 70% of guest communications.\n\n**Our key features:**\n\n* **AI for Guest Communications:** AI agent drafts responses to every guest message\n* **AI for Maintenance Ticketing & Cleaning Management**\n* **AI for Revenue Generation** with automated guest upsells\n\nAll of this with a first class mobile app, because most hosts manage their properties from their phones!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/efb9d4f7-c541-47e8-9c1f-505cdfff39c1)\n\n### Our Founding Team\n\n[**Bill**](https://www.linkedin.com/in/bulam/)\n\n* **Bill was a Staff Data Scientist, Algorithms at Airbnb for 6+ years, building AI & ML products** \n  * 3 AI patents for products implemented at Airbnb that drove hundreds of millions in revenue\n* 9+ years total in data science (Etsy, Wayfair, Thumbtack)\n* Undergrad from Harvard\n\n[**Andrew**](https://www.linkedin.com/in/aeriklawson/)\n\n* **Andrew was a Sr Software Engineer at Dropbox for 6+ years,** working on their API Platform handling millions of requests per second \n* 9+ years as a software engineer\n\nWe are Airbnb hosts with 9 properties, 4.99+ ratings across 1000+ guest reviews, and $1.5M/yr revenue. We've been hosts for 5+ years.\n\n### Why we are building ProhostAI\n\n* **70% of things a host has to do can be automated with no intervention today**\n  * Guest communications, cleaning coordination & communication, and maintenance ticket management are repetitive and simple tasks ripe for automation with LLMs and AI agents with a high-quality mobile-first experience.\n* **80%+ of hosts use no SaaS tools yet** but are ready to professionalize their operations with better tools.\n* **Airbnb hosts are digitally native, working from their mobile phones all the time**, and highly likely to adopt new technologies to improve their operations.\n* **SaaS for hosts is a $5B market** with 10 million short-term rental listings globally!\n\n![uploaded image](/media/?type=post&id=83739&key=user_uploads/1847372/219c2d72-5762-4e81-981e-1316c2390e94)\n\n## **🚀Asks**\n\n1. **If you are a host, join our waitlist at** [**prohost.ai**](https://www.prohost.ai) or shoot me an email at [bill@prohost.ai](mailto:bill@prohost.ai)!\n2. **Share our website with others hosts** and have them join our waitlist!\n3. **Follow us on **[**LinkedIn**](https://www.linkedin.com/company/prohostai/)** and **[**X**](https://x.com/prohostAI)**.**\n4. **If you are using Hostaway or Guesty for Pros to manage your properties,** we can get you set up right away! Sign up for a free trial [**here**](https://app.prohost.ai/register) or [**book a demo**](https://calendly.com/bill-prohost/prohostai-demo) ",
        "url": "https://www.ycombinator.com/launches/Lmd-prohostai-ai-property-manager-for-airbnb-hosts",
        "votes": 35,
        "created_at": "2024-09-04T15:36:31.502Z"
      }
    ]
  },
  {
    "id": 29608,
    "name": "Pre",
    "slug": "pre",
    "former_names": [
      "Genie Online, Inc.",
      "Genie",
      "Rides"
    ],
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    "website": "https://buildwithpre.com",
    "all_locations": "Lake Oswego, OR, USA; Remote",
    "long_description": "Pre is an AI-powered execution system for startup founders who are serious about building real companies.\r\nSet a 10-week goal, connect your tools, and get pushed to do your highest-impact work every week.\r\nPre doesn’t track effort… it tracks outcomes, and it holds you to a higher standard.",
    "one_liner": "The AI accountability agent for startup founders",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1722007649,
    "tags": [
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      "B2B",
      "Investing",
      "Feedback",
      "Operations"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Inactive",
    "industries": [
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      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/pre",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pre.json",
    "year_founded": 2024,
    "city": "Lake Oswego",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/buildwithpre",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98cb4af6e9ab45b4431ca1d8d69632b83194f214.png",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 32175,
        "full_name": "Darius \"Bubs\" Monsef",
        "title": "Founder",
        "founder_bio": "Full-stack operator: bubs.co\nPast: Founder/CEO BraveCare.com (S19), CreativeMarket.com (W10) & COLOURlovers.com",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dariusmonsef",
        "x_url": "https://twitter.com/bubs",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be84bc992d318115861ecca0d7b7bee6b4e7810f.jpg"
      },
      {
        "user_id": 40436,
        "full_name": "Asa Miller",
        "title": "Founder",
        "founder_bio": "2× YC founder of a kid-safe AI companion and a pediatric care company. I’m also an engineer of polished 0→1 products; leader of teams shipping stellar work; and a dad who believes tech should be trusted and loved by families.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/asamiller/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47800f8b2f347474dba748212812091156a3c3dc.jpg"
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    ],
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    "launches": [
      {
        "id": 82522,
        "title": "Genie — The best AI sidekick for kids",
        "tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.",
        "body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/b55dcc84-b2d8-4620-a77f-620f8f66d3ff)\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/366ff304-4c16-476d-b7ae-cb271a5249c9)\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)",
        "url": "https://www.ycombinator.com/launches/LT0-genie-the-best-ai-sidekick-for-kids",
        "votes": 34,
        "created_at": "2024-07-29T16:57:48.187Z"
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    "long_description": "Codes automates medical record retrieval. Today, documents are scattered across EHRs, providers, and faxes; we use AI to retrieve & analyze docs for law firms, providers, and more. ",
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    "industry": "B2B",
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        "full_name": "Guru Rao",
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        "founder_bio": "Guru is the cofounder and CEO of DigitalCarbon. Previously, Guru was the first hire and AI Lead at AssemblyAI (YC 2017) and was instrumental in scaling the company from 1 to 100+ employees. He has been building in the AI space since 2015.",
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        "tagline": "Unreal Engine meets Matterport with no hardware.",
        "body": "Hey everyone! We're [Guru](https://linkedin.com/in/gururao1) and [Michael](https://www.linkedin.com/in/michaelpnguyen/) from [DigitalCarbon](https://www.digitalcarbon.ai/).\\\n\\\n**Tl;dr**\\\nDigitalCarbon transforms images and videos into photorealistic, editable 3D scenes. Create virtual home tours or show off products in 3D using just your phone - no special gear needed!\n\n[ ](https://www.youtube.com/watch?v=c2Pw63zE94I)\n\\\n**❌ The Problem: Creating 3D environments is complex and slow**\n\nBillions of images and videos are captured daily, but turning them into immersive 3D experiences is challenging:\n\n* Requires specialized, expensive equipment\n* Rendering is painfully slow, limiting real-time applications\n* Expertise needed to create and edit 3D scenes\n\nThis complexity has restricted 3D technology adoption across industries, leaving immense potential untapped.\n\n**🚀 Our Solution**\n\nDigitalCarbon turns ordinary photos and videos into interactive, photorealistic 3D environments - all rendered at 100+ FPS on everyday devices.\n\n**With DigitalCarbon, you can:** \\\n❌ Eliminate need for specialized hardware \\\n❌ Eliminate slow rendering times \\\n❌ Eliminate complex 3D modeling skills \\\n✅ Create 3D scenes from simple 2D inputs\\\n✅ Edit and customize 3D environments easily \\\n✅ Deploy across multiple platforms instantly\n\n\\\n**🌟 Transform Your Industry:** \\\n🏠 Real Estate: Create lifelike virtual property tours\\\n🛒 E-commerce: Offer interactive 3D product visualizations \\\n✈️ Tourism: Provide immersive destination previews \\\n🚁 Drone Mapping: Enhance aerial surveys with detailed 3D models\\\n\\\n**🙌 Our Asks**\n\n🧪 Beta Testers: If you're in Real Estate or E-commerce, we'd love your feedback on our platform!\n\n🤝 Intros: Know decision-makers in PropTech or E-commerce? We'd appreciate an intro.\n\nCheck out our demos at [**digitalcarbon.ai**](http://digitalcarbon.ai/) or email us at [**founders@digitalcarbon.ai**](mailto:founders@digitalcarbon.ai).",
        "url": "https://www.ycombinator.com/launches/LmU-digitalcarbon-transform-images-and-videos-into-immersive-3d-with-ai",
        "votes": 25,
        "created_at": "2024-09-04T12:11:56.482Z"
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    "name": "Bayesline",
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    "subindustry": "Fintech -> Asset Management",
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        "answer": "We met in 2016 at BlackRock, and lived together during Covid. We both have a very strong mission to revolutionize financial analytics. We thought that the world’s most renowned institutions would be the best place to do that. But it turns out that they move too slowly and are not ready to truly innovate, especially in the age of AI. Leaving our lucrative careers was the only way to pursue our dreams."
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        "answer": "All of financial analytics was built in the 90s on fundamentally an outdated tech stack (C++ on CPUs). The AI community has developed a new stack (Python ML packages on GPUs) that is orders of magnitude faster, both in time-to-market and run-time. Our aim is to rebuild all of financial analytics on this stack; from economic scenario simulation engines for banks and insurers to portfolio risk models for hedge funds. In the future, Bayesline will be integrated in all financial institutions, eliminating the days of waiting for calculation that tens of thousands of industry professionals have to deal with."
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        "full_name": "Sebastian Janisch",
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        "full_name": "Misha van Beek",
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        "founder_bio": "Misha van Beek is a co-founder at Bayesline. Before Bayesline, Misha was a Managing Director at BlackRock where he led innovation on Aladdin’s portfolio risk models spanning tens of trillions in assets. He also led the research on Aladdin’s economic scenario engine, as well as investment models that run roughly $400 billion in strategic asset allocations across all major asset classes. He holds a PhD in Financial Mathematics from the University of Amsterdam.",
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      {
        "id": 82831,
        "title": "Bayesline - Blazingly fast analytics for Investment Managers",
        "tagline": "We help hedge funds create more alpha.",
        "body": "**TL:DR;** We figured out how to fit custom equity factor risk models in seconds instead of weeks. And we can do this across the entire financial analytics landscape. Ad hoc thematic factor construction (think COVID), risk decomposition through time, optimized factor selection, all on the fly and in seconds.\n\nTry out our demo [here](https://app.bayesline.com/signup).\n\n# Why does it matter?\n\nWe each spent nearly a decade at BlackRock and Bloomberg, building products, leading research teams, and empathizing with frustrated clients. They sit at the cutting edge of investment research, coming up with market-beating strategies. **Yet they have to make do with a 20-year-old analytics toolkit** that current vendors offer. \n\nWe are changing that. If the AI community can fit a 300 billion parameter model, there’s no reason why a factor risk model should take a week to compute. In fact, it doesn’t. **We figured out how to do it live and in seconds, and we can do it across the entire analytics landscape**. \n\n# Who is behind this?\n\n![uploaded image](/media/?type=post&id=82831&key=user_uploads/1931855/9d15dc8d-f99b-481f-b378-4f1f9c630691)\n\nHi, we’re Sebastian and Misha.\n\n[**Sebastian**](https://www.linkedin.com/in/sebastianjanisch/)**, CFA** built his expertise in quant research during his time as a Director in BlackRock’s Financial Modeling Group where he implemented and researched equity risk models that analyze trillions in assets.\n\nPrior to Bayesline, he was at Bloomberg, where he incubated the next generation of customizable and actionable quant products as part of the Quant & AI Research group.\n\nA computer scientist by training with M.Sc. in Finance and a passion for quant research, Sebastian spent the last 10 years leveraging the power of machine learning to challenge, innovate, and reshape how institutions think about financial modeling.\n\n[**Misha**](https://www.linkedin.com/in/mishavanbeek/)**, PhD** was among the youngest Managing Directors at BlackRock. He headed the portfolio risk research team that evolved Aladdin’s portfolio risk models across all asset classes.\n\nHe also headed the team that developed Aladdin’s economic scenario engine and investment models that manage roughly $400 billion in strategic asset allocations.\n\nMisha has spent the past 10 years coupling his professional quant training with his personal interest in all things AI and hands-on engineering.\n\n# Our Ask\n\n* **Try our our demo** [here](https://app.bayesline.com/signup). \\\n  (only email and name required)\n* **Share this post!** Please help spread the word, as you never know who it may help\n* **Connect us** with quants, portfolio, and risk managers.\\\n  \\* blurb to copy & paste:\\\n  _The guys at Bayesline are ex-MD level BlackRock and Bloomberg. They are building a new class of analytics for asset managers, starting with equity factor risk and thematic factor construction. They can build fully customized and properly aligned models (custom universe, factors, exposure overrides, etc.) in seconds, far superior to what’s currently available. They deploy on the client cloud, ingest existing vendor data, and provide their engine to compute fully-fledged new risk models and analytics – all on the fly._",
        "url": "https://www.ycombinator.com/launches/LXz-bayesline-blazingly-fast-analytics-for-investment-managers",
        "votes": 120,
        "created_at": "2024-08-07T21:17:52.305Z"
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        "body": "**TLDR**: [**Callback**](https://getcallback.ai) **is the first AI-native BPO built using a modern tech stack.**\n\nOur software platform helps our customers stay focused on their core business by automating their ops processes with humans in the loop. We’ve handled tasks such as image labeling, invoice extraction, and PDF report parsing — with greater accuracy and speed than traditional BPOs or off-the-shelf software solutions. \n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeL3DPnORZSaPrv35S-22CdX2ZrxP9_EvxYzclxFTf4dxbob11k6g3VvRBAZcRLO3nXcu_LDpZmaZ_kKdYx00-KBKrk8uzJ5GqjASkFm05A_BDtSjGfDWMqZ16w2IP469vR0CfuGP2RHou2QoZ6rHAqPv0?key=rS2cFpGt_BWtrYrVA_wlvw)\n\n[Alan Xie](https://www.linkedin.com/in/alanrxie/) was a senior product manager at AWS and Microsoft, where he built enterprise productivity software used by hundreds of millions of people. He holds computer science degrees from Harvard and Columbia, as well as an MBA from Harvard Business School.\n\n[Paulo Bautista](https://www.linkedin.com/in/paulobautista/) was the first employee and Head of Business Operations at Ninja Van in the Philippines, where he managed a team of several hundred delivery couriers and grew the business to 8 figures in annual revenue. Before YC, he ran an 800-person call center as the Director of Operations and Strategy for a late-stage restaurant tech startup. Paulo studied Business Economics at the University of the Philippines and holds an MBA from Harvard Business School.\n\n**Why are we building Callback?** \n\nAs companies grow, they naturally accumulate process overhead involving manual, repetitive operations tasks. Outsourcing these processes to BPOs requires months of coordination, training, and QA — friction that only the largest multinational corporations can tolerate. \n\nWe empower **companies of all sizes** to offload their manual processes onto our platform. Callback is a software layer for business operations that makes your processes more **transparent**, **efficient**, and **cost-effective**. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXerz8QHBBJ7s8VeO6FMk5ZD43yxGNXTCfbO727NYabKPet-cckWwJEbP9eKkHDAdv-JUu1mnzYrC-gxCNxYgZCUp4jt4AOILGazXQLoCIG3SsbL5JMT73ZuzGViPAJyknEVRvM-UeYNTHAvwBnXavIU_igy?key=rS2cFpGt_BWtrYrVA_wlvw)\n\nOnboarding onto our platform is straightforward:\n\n1. Customers define a specific process workflow as a **Blueprint**\n2. They execute **Jobs** based on their Blueprints\n3. Jobs rely on pre-defined **automation** as well as **human QA**\n\nDo you have any ops processes you wish you could delegate? Unstructured data that you need to turn into a specific structured format? Email us at [founders@getcallback.ai](mailto:founders@getcallback.ai) or book time with us [here](https://calendly.com/paulo-getcallback/can-you-do-this-for-me).",
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      {
        "id": 92541,
        "title": "Decisional Knowledge Engines",
        "tagline": "AI Native workspace for Financial Professionals",
        "body": "Hey folks, we’re Dhruv, Adit & Neeraj, the founders of [decisional.com](https://www.decisional.com/) and we are introducing the world to Knowledge Engines.\n\n### Decisional Knowledge Engines\n\n**A new way for financial professionals doing in-depth work to collaborate with AI agents.**\n\n**TLDR**\n\nKnowledge engines are AI native workspaces built for financial professionals in private markets to accelerate **due diligence**, **fundamental research**, and **portfolio management** in a secure sandbox environment with **full citations and audit trails**.\n\nPreview video here - https://www.youtube.com/watch?v=RU9Xm8VWNd0\n\nTHE PROBLEM\n\nFinancial professionals spend hours doing grunt work that includes copy pasting tables, screenshotting charts and doing data entry and have been unable to use AI effectively due to a lack of precision and transparency in using LLMs in their workflows.\n\nThe Decisional knowledge engine allows you to **add** and **view** sources to so that you can\n\n1. **Write** your own thoughts into Memos\n2. **Ask** **AI** questions related to the sources you upload\n3. **Generate / Edit** high quality tables, charts and metrics based on the underlying materials with your AI Assistant Dex\n\nDecisional features a powerful **document processing** system that handles multiple formats (excel, pdf, ppt, docx) with OCR for tables, charts, and figures. Our agentic **RAG** implementation grounds AI responses in your sources, delivering up to **4.1x** greater accuracy with fewer hallucinations and the most transparent citations. Choose from top models by Anthropic, xAI, OpenAI, and Meta.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/22dec013-48a4-4503-9fff-973b36880183)\n\n_(Chart produced with Decisional)_\n\nTop three reasons to use Decisional Knowledge Engines\n\n### **1.You start from SCRATCH**\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/b37b878a-8843-496a-b84c-9c52b4e996e0)\n\nDon’t become a consensus thinker, use AI only when you need it - to do the grunt work not the real decision making. Upload sources you trust and view it on the left, iterate on your workup in the middle and ask AI for assistance on the right, ONLY when you need it.\n\n### **2.Deep Research** & **Agentic Editing** with Finance Grade **Tables**, **Charts** and **Writing**\n\nWe’ve tuned Dex to be thoughtful, analytical and rigorous like any financial professional worth their salt. It spends time thinking before writing to improve depth and understanding. Get Dex to refine outputs, answer follow-ups, and iterate on your materials. Write inline when you need to onto a collaborative editor with Dex. It can even do financial modeling and scenario analysis.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/724dfdbc-ff09-44d0-b8c4-055a08d4d39f)\n\n### **3.Full transparency**\n\nEvery insight links back to original sources with complete audit trails. Imagine an analyst that can read hundreds of thousands of files in seconds but tells you the exact page with a bounding box around where it got a figure from. Inline citations ensure you don’t have to second guess whether the data is accurate, see for yourself without yielding all your time savings to fact check AI.\n\n![uploaded image](/media/?type=post&id=92541&key=user_uploads/1762746/8f459550-8129-44ef-8f88-067c0d06ac11)\n\nAll this with enterprise grade APIs to embed AI agents within your workflow and deployments that work with your data security policies.\n\n### **Try Decisional free for a week with no credit card**\n\nThere are multiple AI Agents for finance but none offer the level of transparency and control that we do.\n\nNo smoke and mirrors, just results you can trust.\\\nChoose from one of our public samples where we have pre loaded documents for you:\n\n* [AI Infrastructure Build Out](https://app.decisional.com/public/memo/9fc52894-91e4-4531-b776-913929e058a9?promptId=prmt_ainfrabuildout)\n* [US Gambling Restrictions](https://app.decisional.com/public/memo/7154d423-6626-4099-88fb-eb1ffb3c327d?promptId=prmt_usgamblingmemo)\n* [Tesla SEC Filings (10 years)](https://app.decisional.com/public/memo/eb1a312c-1b55-4738-acb9-2ade5880eee9?promptId=prmt_tslasec10years)\n* [Coffee Retailer Data Room](https://app.decisional.com/public/memo/b1fa6424-9790-4194-93e5-eebcc9f8d9ab?promptId=prmt_pvtequityjoeco)\n\nOR login and upload your own documents here - https://app.decisional.com/sign-in\n\nReach out to us at [founders@decisional.com](mailto:founders@decisional.com) if you want to use our [APIs](https://docs.getdecisional.ai/welcome/introduction) to embed our workspace in your product or workflow.",
        "url": "https://www.ycombinator.com/launches/O4b-decisional-knowledge-engines",
        "votes": 10,
        "created_at": "2025-07-29T16:16:45.742Z"
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      {
        "id": 83138,
        "title": "Decisional - An AI agent for Financial Analysts",
        "tagline": "AI Financial Analyst to help investors focus on what matters.",
        "body": "Hey everyone, we’re Dhruv, Adit, and Neeraj — co-founders of [Decisional](https://www.getdecisional.ai/).\n\n### **tl;dr**\n\nDecisional built an AI Financial Analyst that reads and understands data from thousands of public and private sources. Imagine a new world - an AI Analyst, at your beck and call, that has understood every email, read every data room, and can browse the web. \\\n\\\nDecisional breaks down data silos and performs all of your grunt work, ensuring you never have to manually copy a table from a pdf to Excel ever again.\n\n### **The Problem: Grunt Work & Data Silos**\n\nAnalysts want to create alpha through first principles thinking - but they’re blocked by mundane tasks like extracting tables, plotting market maps, and sifting through transcripts and board packs. Their information is scattered in data silos internally (Airtable, Dropbox, Email) and externally (web pages, SEC filings, and private data feeds like S&P).\n\nDecisional ingests information across your organisation and configured external sources to create a knowledge graph that powers a 24x7, intelligent AI Agent empowered with your organization’s information. It helps you unearth key facts and patterns hidden in plain sight.\n\n### **The Solution: Writing > Chatting for Deep Work**\n\nDecisional’s Magic Tables will organize key metrics, competition, and public comps, enriched with external data like funding amounts, stage, geography, and sector.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/b32cb74b-83a4-4da8-87fc-3a246c5cf797)\n\n\\\nAnalysts generate “AI memos” and glean deep insights from your documents. Decisional eliminates the 24-48 hour wait while your offshore team performs simple data extraction grunt work.\n\nDeep, living documents are then drafted with the help of an AI Agent that automatically pulls and organizes data from underlying sources, complete with citations.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/784ed30e-d5e2-4e6e-84ca-dfce79a724ae)\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/f7531425-4503-4c11-b5ed-f24e6bd9328e)\n\n### **The Finance + AI + Distributed Systems Squad**\n\nDhruv, Adit, and Neeraj studied at London Business School, Carnegie Mellon University, and NYU, respectively. Adit and Dhruv have known each other for 20 years and are childhood friends. Dhruv and Neeraj shared a PM - Lead Engineer bromance from their time working at Razorpay (W15).\n\n[Dhruv](https://www.linkedin.com/in/tandondhruv/) - Experienced in investing, lending, and banking through working at Moonfire Ventures, Concentric Capital, Drip Capital (S15), and ICICI Bank. Rage quit a bank to join the startup world.\n\n[Adit](https://www.linkedin.com/in/aditsanghvi/) - Developed machine learning models at AWS and Uber, and built models for billions of transactions that generated over $200+ million in additional revenue. Published research and patents in machine learning since 2017.\n\n[Neeraj](https://www.linkedin.com/in/neerajkanuri) - Developed end-to-end financial infrastructure that handles over $150B in transaction volume at Razorpay (W15). Won a contest in Yann LeCun’s Deep Learning course and then built distributed systems at Arthur AI for financial services firms like JP Morgan.\n\n![uploaded image](/media/?type=post&id=83138&key=user_uploads/1762746/20a310e0-32b6-4d5d-a483-0c7c3f733ea6)\n\nWatch our full product video here:\n\n<https://youtu.be/Wu_CIqBwGW8>",
        "url": "https://www.ycombinator.com/launches/Lcw-decisional-an-ai-agent-for-financial-analysts",
        "votes": 298,
        "created_at": "2024-08-16T21:16:34.697Z"
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        "full_name": "Thomas Marge",
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        "founder_bio": "Thomas is co-founder and CEO of Rewbi, which uses AI to optimize grid-connected battery storage. He previously founded inBalance, a YC W21 company, which was acquired by Stem (NYSE: STEM) in January of 2023. He led battery storage optimization and forecasting for Stem. He completed part of a Pure Mathematics PhD at University of Cambridge, which he left to build inBalance. He holds a Masters in Applied Mathematics and B.S.E. in Pure and Applied Mathematics from Johns Hopkins, graduating early.",
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        "id": 83622,
        "title": "Rewbi - Using AI to optimize grid-connected battery storage",
        "tagline": "Rewbi more than doubles grid-connected battery storage revenue.",
        "body": "**We’re Rewbi!**\n\n**Rewbi uses AI to optimize grid-connected battery storage.** We generate revenue by charging batteries when electricity is cheap and discharging when electricity is expensive.\n\nWe rent battery storage for a fixed fee per month, and we earn **more than double** that fee in monthly revenue by dispatching the battery optimally.\n\nToday, power companies use human traders to manually track grid conditions and update the battery’s dispatch schedule. However, batteries can adjust their power output **100x faster** than traditional power generation (e.g., hydro, coal, nuclear, gas), with the ability to go from full-speed charging to full-speed discharging in under a minute. **Electricity prices change every 5 minutes, often by 300% or more.** Our AI better tracks 100s of live inputs, and it makes decisions faster than a human operator (with lower overhead), **more than doubling revenue**.\n\nSince starting YC, we’ve joined ERCOT (the Texas grid operator) as a registered power company.\n\n**Our Team**\n\n[Thomas](https://linkedin.com/in/thomas-marge) has built battery dispatch (and wind farm optimization) solutions for the past 8 years, including as founder of inBalance (YCW21, acquired by Stem, Inc. in January of 2023). [Derek](https://linkedin.com/in/derekmod) wrote his first commodity trading and risk management algorithm for a fund when he was 18, and he was the first technical hire at Adept - his models were used to raise over $400m. We’ve known each other for a decade - we met working together on grad level math courses as freshmen at Hopkins.\n\n**Asks**\n\nWe would love to speak with battery storage developers - message us at <https://www.rewbi.com/contact> or email us at [founders@rewbi.com](mailto:founders@rewbi.com)!\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/0f214291-26b7-4259-a61d-55904a9d8616)\n\n![uploaded image](/media/?type=post&id=83622&key=user_uploads/89898/503ce453-7532-40ea-b307-9e0f0c5827b3)\n\n",
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        "created_at": "2024-08-30T16:53:42.510Z"
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    "long_description": "Proxis is the AI automation platform built for enterprises.\r\n\r\nProxis is creating AI email agents that empower brands and enterprise teams to close deals automatically. Think: your inbox, on autopilot.\r\n\r\nWe initially fine tuned and distilled LLMs for enterprise use—and quickly realized that companies need more than just smarter models. They need full-stack automation. So Proxis built AI agents that handle the tedious, time-consuming work—everything from autonomous sales closers to customer service agents.\r\n\r\nThe mission is bold: to build the world’s most capable team of AI agents for every enterprise. Proxis imagines a future where a single founder can run a billion-dollar company—backed by a custom-built army of agents. Proxis is rethinking how agents are built, trained, and deployed from the ground up.",
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        "full_name": "Liam Collins",
        "title": "Founder/CEO",
        "founder_bio": "CEO and cofounder of Proxis. I built zero-to-one systems as a software engineer for two years and prior to that was an investment banker in renewable energy. I received my bachelors from Columbia University and City University of Hong Kong (on a Dual Degree), and left my MBA at Wharton to build Proxis.",
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        "title": "Proxis: AI Email Agents with Your Context",
        "tagline": "Your Emails, Written and Sent for You (Safely)",
        "body": "**TLDR:**\n\nProxis auto-drafts and auto-sends emails based on your connected context and email history, mimicking your email style and tone.\n\nJoin for free: [proxis.ai](http://proxis.ai)\\\n\\\nhttps://youtu.be/9yamssS2oiA\n\nEmail volume is exploding. Launches and outbound campaigns create reply storms. Important conversations get buried while esoteric answers live in just a few people’s heads.\n\nWho feels this the most?\n\n* Founders and sales leaders running high‑velocity outreach\n* CX and ops teams fielding repetitive questions\n* Anyone whose inbox is their workflow\n\n**Enter Proxis**\n\n![uploaded image](/media/?type=post&id=95307&key=user_uploads/1592615/12b0183b-6b08-4352-a3f5-ff4628c080e3)\n\nProxis connects to your knowledge and your inbox to draft and even auto‑send replies that sound like you — only when it’s confident.\n\n1. Context-first drafting. Plug in CRMs, Notion, Drive, Slack, help docs, and past email history so answers are accurate and on‑brand.\n2. Sends only when confident. High‑confidence replies auto‑send. Everything else stays in draft for review.\n3. Learns your voice over time. The more you send, the better it gets.\n\n**Configure any Rule**\n\n![uploaded image](/media/?type=post&id=95307&key=user_uploads/1592615/9a28b46c-218a-41cc-bbb1-c6c4e5bb250b)\n\n**Add Your Context**\n\n![uploaded image](/media/?type=post&id=95307&key=user_uploads/1592615/cbc29a0a-1a3a-40ab-bffc-fd08f58fe2d2)\n\n**Who Proxis is for**\n\nWe’ve built this for founders, operators, sales teams and email power users who constantly context-switch between tools and spend their days in email. If that sounds like you, we would love to have you on board.\n\nGet started for free: [proxis.ai](http://proxis.ai)",
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        "created_at": "2025-11-07T19:59:06.302Z"
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        "title": "Proxis - the first dedicated platform for LLM distillation and serving",
        "tagline": "Model serving optimizations to reduce compute costs.",
        "body": "**Tl;dr:** [Proxis](https://www.proxis.ai/) is the first dedicated platform for LLM distillation and serving, unlocking production ready models at 1/10th of the cost.\n\n### The Problem\n\n* Fine-tuning frontier models like GPT-4 on proprietary data is expensive, and locks customers into one external closed source model provider. \n* These large models are 100x the price per-token of smaller Llama 3.1 models, and run nearly 10x slower. This makes them impractical to deploy at scale.\n* Closed source model lock-in means customers can’t tweak or tune their own model, or deploy on-prem for sensitive data solutions. \n\n### The Solution\n\nModel Distillation:\n\n* In model distillation, a large **teacher model** effectively fine tunes a smaller **student model** without the need for _labeled_ or _structured_ datasets. This ‘condenses’ large models down to the compute cost of small models.\n* Distillation results in near-frontier model quality, with efficient performance. This means we can achieve 5x the speed at 1/10th the cost.\n* With the release of Llama 405b in late July, open source frontier distillation became available to the public for the first time. \n\n### Growth & Market\n\n* Llama model downloads have grown 10x in the last year and are approaching 350 million downloads to date. There were 20 million downloads in the last month alone, making Llama the leading open source model family.\n* Llama usage by token volume across major cloud service providers has more than doubled in just three months from May through July 2024 when Llama 3.1 was released.\n* Monthly usage (token volume) of Llama grew 10x from January to July 2024 for some of the largest cloud service providers.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdQSaqElsFW5E2grv46IezSDDiWOQKb8xcXqzf9FzWYnY8s0DywELRQaJpXNRWRxIqFsJwL_Nt_eJawi2BaNk-QasNFOv0tm8efkn3DwhfxHqH-8jizsSQMZnZiGW3yfBZNHdWz9lVME9vuxqcbBp_kETp4?key=EmGuREnt2lr1tUSBSUm-SQ)\n\nSource: [Meta](https://ai.meta.com/blog/llama-usage-doubled-may-through-july-2024/)\n\n### The Team\n\n[Jackson](https://www.linkedin.com/in/jacksonstokes/) (CTO, on the left) **optimized the Gemini model at Google** for efficient deployment at massive scale. [Liam](https://www.linkedin.com/in/liam-collins-/) (CEO, on the right) built zero-to-one systems as a software engineer.\n\n![uploaded image](/media/?type=post&id=83633&key=user_uploads/1592615/ea47fdba-f119-4680-8d1e-e394d6e85273)\n\n### The Ask\n\nGive it a go! Sign up to our waitlist [here](http://www.proxis.ai/) to access Proxis-hosted Llama models at a cheaper cost than current offerings.",
        "url": "https://www.ycombinator.com/launches/Lkv-proxis-the-first-dedicated-platform-for-llm-distillation-and-serving",
        "votes": 43,
        "created_at": "2024-08-31T15:11:45.184Z"
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    "name": "DeepSim, Inc.",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "DeepSim is building an AI physics simulator. We are currently developing the only thermal simulator to meet AI chip design needs and are validating our tool with Intel. We are a team of three electrical engineering PhDs from Stanford with backgrounds in semiconductor fabrication and design.",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Connor McClellan",
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        "founder_bio": "Stanford EE PhD grad now building an AI physics simulation platform at DeepSim to solve the frustrating parts of my PhD. I'm also really into espresso making and will be happy to make you your best cup of coffee.",
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        "full_name": "Alexander Gabourie",
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        "founder_bio": "Alex is a co-founder of DeepSim, Inc., where he develops AI physics simulators. He earned his PhD in Electrical Engineering from Stanford, specializing in nanoscale thermal simulations, and brings over a decade of experience in the semiconductor industry.",
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        "user_id": 1993598,
        "full_name": "Chuck Koroglu",
        "title": "Founder",
        "founder_bio": "Stanford EE PhD with background in semiconductor engineering, and physics modeling of integrated circuits. Excited about transforming the landscape of engineering simulations with new technology that combines physics, experimental data and AI.",
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        "id": 83111,
        "title": "DeepSim – AI physics simulations",
        "tagline": "Run complex physics simulations signficantly faster than any commerical tool.",
        "body": "**TLDR:** AI-accelerated 3D physics simulator for engineers\n\n[DeepSim](https://www.deepsim.io/) makes it easy for engineers to run 3D physics simulations fast. This means rapid design iterations for better products and real-world monitoring for better decisions.\n\nWe built a new physics simulation platform that leverages AI physics models for very fast, ultra-scalable physics simulations.\n\n—\n\nHi everyone! We are [Connor,](https://www.linkedin.com/in/connor-j-mcclellan/) [Alex,](https://www.linkedin.com/in/alexgabourie/) and [Chuck,](https://www.linkedin.com/in/ckoroglu/) and we love physics simulations. While working on our PhDs at Stanford, we saw how physics simulators needed a refresh to solve modern problems. That’s why we started [DeepSim.](https://www.deepsim.io/)\n\n## The Problem\n\nRunning 3D physics simulations is **difficult**, **expensive**, and **slow**.\n\n1. **Setup:** Experienced engineers still spend countless hours meshing their designs before even running a single simulation.\n2. **Run:** Many simulations take hours to even weeks on expensive compute systems. Some are even intractable and require highly trained engineers to simplify the problems at a significant cost of accuracy.\n3. **Attention:** Each step requires constant babysitting as simulators are fragile and can fail at any time.\n\n🧑‍🔧️ Engineers hate the tedious simulation setup and wasted time due to failed simulations.\\\n👔 Managers hate that engineers can’t go faster and use tons of cloud credits.\\\n💰 CEOs/VPs hate that engineering delays stall a product launch.\n\n## The Solution\n\nLeverage AI to **simplify**, **speed up**, and **scale up** 3D physics simulations.\n\nWe are building a new AI physics simulation platform, automating away the physics setup and simulating designs 1000X faster with no drop in accuracy.\n\nOur platform uses lightweight, easy-to-train AI models combined with a powerful GPU-accelerated solver to deliver solutions quickly and efficiently. This approach eliminates the bulkiness of traditional finite element method (FEM) tools and overcomes the inflexibility of other AI physics simulators.\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/6218d9cd-39b9-4307-a144-9f346d8d3c65)\n\nAt [DeepSim](https://www.deepsim.io/), we have already worked with semiconductor companies to build the most powerful thermal simulator for circuit design, running thermal simulations with billions of nodes in minutes on a single GPU, which is 1000X more detail than a commercial tool can deliver using 50+ CPU cores in the same amount of time.\n\nWith DeepSim's simulator, we are able to model extremely complex geometries with length scales spanning 6 orders of magnitude, intractable to solve with FEM tools. Below is a thermal simulation of an integrated circuit, complete with a heat sink and airflow, that only took 10 minutes to run. We can resolve hot spots in individual transistors (\\~10 nm in size) within a whole chip (1 cm).\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/26e48815-e3db-4cfa-bdd4-52168c537546)\n\n## Use Cases\n\nThis is a breakthrough in 3D physics simulations that empowers engineers in the same way FEM did 50 years ago. We’re excited to see where engineers take our tool!\n\nSome initial use cases are:\n\n* Speeding up the design of complex systems with faster simulations\n* Utilizing design automation to speed up development\n* Developing digital twins for system operation\n\n## The Team\n\n![uploaded image](/media/?type=post&id=83111&key=user_uploads/1869533/c032c745-4faf-4374-8a43-92de0645a397)\n\nChuck, Alex, and Connor founded DeepSim to solve the frustrating parts of their PhDs.\n\n## The Ask\n\nWe would love to talk with engineers that…\n\n* design and operate battery packs for EVs or grid-scale energy storage\n* design and deploy satellites\n* work on thermal management of semiconductors, from the chip scale to data centers\n* have any complaints about slow or frustrating simulations\n\nContact us at [founders@deepsim.io](mailto:founders@deepsim.io)!",
        "url": "https://www.ycombinator.com/launches/LcV-deepsim-ai-physics-simulations",
        "votes": 35,
        "created_at": "2024-08-16T04:14:43.665Z"
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    "name": "Elevate",
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    "website": "https://www.useelevate.dev/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Elevate is bringing AI to private equity-backed roll-ups. \r\n\r\nFor example, one of our customers is Guardian Restoration Partners, which is backed by Alpine Investors, the leading roll-up focused private equity firm. In three months, we integrated 10 acquisitions and enabled them to pilot AI agents built on top of our data warehouse. \r\n\r\nWe know this problem personally. Before Elevate, Scott was a Vice President at a $15B private equity firm where he was leading a roll-up. Steve and Jeff are both software engineers with backgrounds across finance, big tech, and start-ups. The founding team has been friends for over a decade from their Duke undergraduate days. ",
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    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1718146562,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/elev4te-ai",
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        "user_id": 1977390,
        "full_name": "Scott Cara",
        "title": "Founder/CEO",
        "founder_bio": "Scott is the co-founder and CEO of Elevate AI. \n\nScott was previously a private equity investor at Sycamore Partners where he partnered with \nc-suite executives at leading companies to drive growth. Prior to Sycamore, Scott was a management consultant at Bain & Co. \n\nScott studied Computer Science and Mathematics at Duke University and holds an MBA from Harvard Business School. ",
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        "title": "Forward Deployed Engineer (FDE)",
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        "body": "[Scott](https://www.linkedin.com/in/scott-cara-31829041/) here from [Elevate](https://www.useelevate.dev/), showcasing our AI-powered data management for roll-ups.\n\n# **⚠️ Problem: Private equity-backed businesses struggle to use AI because of data challenges.**\n\n📉 75% of M&A deals underperform due to **integration** challenges \n\n🔥 #1 cause of M&A integration problems is **data** fragmentation \n\n🤖 #1 hurdle blocking companies from using AI is **data** quality – #2 is **data** privacy & protection\n\n# 🚀 **Solution:** **Elevate’s AI-powered data management platform acts as a translator enabling PE-owned businesses to use AI in their daily operations.**\n\nOur platform helps PE-backed acquisitive companies (aka roll-ups) reach for data nirvana through:\n\n1. **Migrations:** Transitioning data from legacy systems to the core tech stack,\n2. **Warehousing:** Consolidating, cleaning, and enriching data across acquisitions and systems, providing a single source of truth, and\n3. **AI Services:** Unlocking agentic AI automations built on top of clean warehouse data.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhAUwhGszwvyPlBFEYAfccNMFkNhz9tFht9DK0R7Mn8efaeTgqsJiQHHFbvf8pZM5f2k76wHg75gJpT49XnlnomjZo6kfiN74m4yTCrGcUYzi-tncfAfe-DlchOMmNSR_HHxeo8w?key=d4EvylbdqETj4Y-psv5-Bw)\n\nBut don’t trust us, ask our customers. \n\nhttps://youtu.be/H1sDiTtCV44\n\n# 🧑‍💻 **Team: Expertise at the intersection of finance x tech.**\n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/) (CEO) was most recently a Vice President at Sycamore Partners, a $10B+ AUM private equity firm. Scott is also a Harvard Business School grad where he hob-knobbed with too many finance bros + gals. \n\n[Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/) (CTO) was a software engineer at Meta, the ~~social media giant,~~ ~~metaverse pioneer,~~ AI talent acquisition firm. He has also seen this movie before as a founding engineer at multiple start-ups. \n\n[Jeff](https://www.linkedin.com/in/jeffrday/) (CPO) was a software engineer at a $17B+ hedge fund, before giving into the crypto-craze. His Circle stock sustains us. \n\nThe three founders have known each other for over a decade since their CS undergrad majors together at Duke in the not-so-dirty-anymore Durham, NC. \n\n# **🎺 Asks:**\n\n**PE / roll-up connections:** Find your friends in private equity and tell them about this cool new AI solution that will make their portfolio companies better, them richer, and their lives less miserable.  \n\n**AI solutions:** If you are building an AI tool that could be useful for PE-backed companies (👋 that’s \\~all of you!), reach out + let’s chat to see if there could be a use case for our customers. \n\nContact us: [hello@useelevate.dev](mailto:hello@useelevate.dev) \n\n**Elevate**dly Yours, \n\n[Scott](https://www.linkedin.com/in/scott-cara-31829041/), [Jeff](https://www.linkedin.com/in/jeffrday/), and [Steve](https://www.linkedin.com/in/steve-mazzari-38b470b1/)\n\n![uploaded image](/media/?type=post&id=93226&key=user_uploads/1977390/a54f9874-662a-4886-80d7-fb0bf1954f08)\n\n",
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        "full_name": "Tej Seelamsetty",
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        "full_name": "Aumesh Misra",
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        "founder_bio": "Co-founder and CTO of Tivara. I've spent 4 years building software at Microsoft and Compound (YC S19). I was the 8th engineer at Compound and helped grow the company to over $2B AUM. Prior to this, I researched and developed software for novel medical imaging devices at Stanford.",
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        "title": "Tivara 🏥💰 — Automating insurance approval workflows for doctors",
        "tagline": "See patients faster by automating your prior authorization requests.",
        "body": "[Tivara](https://tivara.com/)’s mission is to help doctors deliver care to patients faster. We’re starting by using LLMs to automate submitting prior authorization requests (and getting their approval) on behalf of providers.\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/5152c520-617b-4e43-82e4-5cac7c301950)\n\n## What is Prior Authorization, and Why Should I Care?\n\nPrior authorization is a process by which physicians must justify their treatment plan of a patient to that patient’s health insurance carrier as “medically necessary.” \n\nRight now, medical groups employ a team (1 employee focused on prior authorizations per 1-5 physicians) to handle this process with insurance carriers manually. These teams are frequently operating over capacity; some of the practices we’ve talked to are so backlogged that a request isn’t even submitted until up to a week after a doctor’s order is placed.\n\n**Figure 1: 94% of Physicians Report Delayed Patient Care due to Prior Authorization (Source: American Medical Association Survey of 1,000 Doctors)**\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/7ccd172e-a4be-4e61-962d-916b4de1491d)\n\nAs you can imagine, insurance carriers are incentivized to delay and/or deny approval as much as they can. Some carriers are so egregious that they’re incurring fines in the tens of millions for morbidly delaying the care of sick patients. A patient who is exhibiting signs of colon cancer definitely shouldn’t have to wait months (or even days) for a colonoscopy.\n\nAt the end of the day, we do two things:\n\n1. Help doctors deliver care faster\n2. Make doctors more money (reduce OpEx)\n\n## Who we are:\n\nGreat friends from college.\n\n[Tej](https://www.linkedin.com/in/tej-seelamsetty/) – Ran growth (10x-ed revenue) at Fair Square (W20) and was an AC at Bain. Paid for college by flipping houses. Studied CS at WashU.\n\n[Aumesh](https://www.linkedin.com/in/aumesh-misra) – Ex-Microsoft and was the 8th engineer at Compound (S19). Built medical imaging software used by Stanford. Also studied CS at WashU.\n\n## Our ask\n\nAre your parents, siblings, or extended family members doctors who run their own practice? You can help us with an introduction! Please shoot [tej@tivara.com](mailto:tej@tivara.com) a note.\n\n![uploaded image](/media/?type=post&id=82570&key=user_uploads/758190/ad4f67d3-ca0b-4049-9600-a4ba595b6036)\n\n",
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        "full_name": "Rafi Sands",
        "title": "Founder/CEO",
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        "full_name": "Brendan Suh",
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        "founder_bio": "Co-founder & COO @ Tandem\n\nhttps://tandemspace.com/",
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        "title": "GTM & Biz Ops @ Tandem (San Francisco)",
        "url": "https://www.ycombinator.com/companies/tandem-2/jobs/P5Av6nq-gtm-biz-ops-tandem-san-francisco",
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        "salary_range": "$70K - $130K",
        "equity_range": "0.05% - 0.15%",
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        "title": "GTM & Biz Ops @ Tandem (New York City)",
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        "title": "Content Marketing Intern - Tandem SF",
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        "location": "San Francisco, CA, US",
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        "date": "Feb 03, 2025"
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        "id": 108356,
        "title": "Tandem: Office broker on steroids",
        "tagline": "Tandem is an AI-native office leasing brokerage.",
        "body": "**Tl;dr:** Our agents have seen every office building in the city — they know exactly what’s available, what it’s going to cost you, and how to negotiate the best possible deal. You get human support backed by the best real estate AI anywhere. And it’s all done at no cost to you. Start your search at [tandemspace.com](http://tandemspace.com)\n\n## Why office leasing is broken\n\n**There are thousands of office spaces in a city and no single view of them.** **What exists instead is memory.** A few hundred people, each carrying their own map of the city, built by walking it.\n\nThose maps are good. Brokers who have been doing this for twenty years know their buildings cold, know the landlords, know what a deal should actually cost. **But it's one person's map of a market that changes every week, and there is no version of this job where one person keeps up with all of it.**\n\nSo the process runs on relays. You spend an hour explaining what you need. Your broker spends the week calling the brokers they know, who call the landlords they represent. Eight options come back. You like one. The calls start over. Nobody is doing anything wrong. It just takes days to move a question through a chain of people, and you are one of a dozen searches your broker is running at the same time.\n\nThe economics of this market were built for bigger deals. Commercial leasing grew up around full floors and ten year terms, and everything in it is sized for that. A 3,000 square foot suite on a two year term takes nearly the same work and returns a fraction of it, so smaller spaces get less attention across the board. It's why so many of them go unphotographed, unlisted, and unmentioned. That's most of the market by count.\n\nThe people in this industry are not the problem. This is just what a market looks like when it runs on memory:\n\n**You're seeing only what your broker chooses to show you, prioritized only as much as your deal size warrants, with no way to verify you're getting a fair shake.**\n\n## How Tandem works\n\nOn paper, Tandem is an office leasing brokerage like any other. Same license, same tenant rep fee, same person meeting you in the lobby. **The difference is what that person knows, and how quickly they can act on it.**\n\nEvery Tandem agent works with an agentic brain behind them\\*\\*. It's watching the market constantly: what came available this morning, what a similar unit actually leased for last month, which landlords are flexible on term, what's about to come back online.\\*\\* Knowing the market stops being one person's job, so it doesn't stop when they go home, and it isn't limited to the buildings they've personally walked.\n\nWhat that means for you:\n\n* **You see the whole market on day one**, not on the third callback. Your agent already knows what fits before you finish describing it.\n* **Answers in minutes**, over email, text, or phone, on anything from zoning to what the freight elevator situation is.\n* **You know what it should cost.** Your agent can see what comparable units actually went for, so you go into a negotiation knowing where the number should land.\n* **You don't have to talk to anyone if you don't want to.** The same market is browsable at [tandemspace.com](http://tandemspace.com). Compare asking rents, book a tour for tomorrow, bring your agent in whenever you want them.\n* **A 3,000 square foot requirement gets the same attention as a 30,000 one**, because your agent isn’t paid more for a bigger deal.\n\n**The result: clients who search with Tandem see 30%+ more spaces than in a traditional search, and finish about 6x faster. At no cost to you.**\n\n## Start your search with Tandem\n\nWe’re proud to have placed more than 500 companies into offices, including Cursor, Upwork, Apollo GraphQL. But, we’re even prouder that our average time from first tour to signed lease is 27 days, versus an industry average of \\~180.\n\nIf you’re in the market for an office now or anytime in the future, get started for free at [tandemspace.com](http://tandemspace.com), or email [team@tandem.space](mailto:team@tandem.space).",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/qemTjv7-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "0.50% - 1.00%",
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        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/gauge/jobs/juhjUfl-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/gauge/jobs/ufnxGYP-founding-customer-strategy",
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    "launches": [
      {
        "id": 100013,
        "title": "❓ Gauge Sentiment: See exactly how AI models talk about your brand",
        "tagline": "How is your brand perceived by AI?",
        "body": "Gauge now can tell you exactly how AI models talk about your brand.\n\n  - When put in a head-to-head against your competitors, who wins?\n  - In what ways are AI models bad-mouthing your brand? Talking up your competitors?\n\nGauge analyzes the results of these questions to tell you the exact positives and negatives surfaced.\n\nBeyond that, Gauge can actually trace the source of negativity back to its original destination - whether it be a\ncompetitor website, a social post, or something else.\n\nHere's a quick look at how that works:\n\n<https://www.youtube.com/watch?v=WRfAfOWeS7s>\n\nIf you're interested in learning how AI models talk about your brand, book a time here and we'll show you:\n<https://cal.com/demo/30>\n",
        "url": "https://www.ycombinator.com/launches/Q17-gauge-sentiment-see-exactly-how-ai-models-talk-about-your-brand",
        "votes": 6,
        "created_at": "2026-04-21T19:43:11.277Z"
      },
      {
        "id": 99472,
        "title": "🚀 Gauge gives you visibility into ads in ChatGPT.",
        "tagline": "🚀 Gauge is building the intelligence layer for ChatGPT Ads",
        "body": "Gauge gives you visibility into ads in ChatGPT.\n\nWant to know what ads your competitors are running in ChatGPT? With Gauge, you can now see exactly what ad copy is getting run against any prompt you choose.\n\nGauge is also a single point to manage your ChatGPT ad campaigns. Simply link your API key and get instant insights into your campaigns, ad groups, and performance.\n\nGauge also breaks down everything by spend, impressions, and clicks - calculating CTR and CPC on the fly.\n\nHere’s a quick overview of how it works:\n\n<https://www.youtube.com/watch?v=MTv4z9ShWPE>\n\nAre you running ads in ChatGPT, or interested in seeing how your competitors are? Grab a time with our team and we’ll show you: <https://cal.com/team/gauge/demo>",
        "url": "https://www.ycombinator.com/launches/PsO-gauge-gives-you-visibility-into-ads-in-chatgpt",
        "votes": 8,
        "created_at": "2026-04-06T16:33:16.207Z"
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      {
        "id": 98751,
        "title": "🚀 Gauge: Your marketing agent for organic, paid, and AI search",
        "tagline": "A single agent that can do the work of an entire marketing team",
        "body": "With user behavior spreading across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There’s a wealth of data distributed across GA4, GSC, keywords, prompts, ads, and more. This data is incredibly rich, but fragmented and complicated to understand.\n\nGauge unifies all of these data sources into a single agent that can do the work of an entire marketing team. Here’s how it works:\n\n<https://www.youtube.com/watch?v=SxdKlv--Oeo>\n\nWe started by building a best-in-class GEO/AEO platform, with a core focus on getting the right data. We quickly found that data alone isn’t enough. Our users kept asking:\n\n1. How can I make sense of all of this prompt/answer data?\n2. How does it relate to my existing data?\n3. What are the actual things I need to do to move the needle?\n\nOur agent interprets all of your data sources and executes high-value work for you. Gauge can run keyword research, analyze the competition, and track prompts over time for you. Once Gauge has all the data it needs, it can build and execute plans of attack, recommending and drafting focused content. Gauge also lives where you already work, with MCP and Slack bot support.\n\nGauge is already a core part of the marketing stack at some of the best YC companies - Supabase, PostHog, Mux, and more.\n\nIf you’d like to give Gauge a go, you can [try it now for free](https://www.withgauge.com/features/ask-gauge)! We also have a YC discount for 50% off your first month: FRIENDSOFYC\n\nOur main ask is feedback - would love to see you push our agent and make it uncomfortable! What do you want a marketing agent to do for you that it can’t do today?\n\n![uploaded image](/media/?type=post&id=98751&key=user_uploads/323364/04c1c5f3-b97f-4ab7-b69e-e463ac8e7187)\n\n",
        "url": "https://www.ycombinator.com/launches/Pgl-gauge-your-marketing-agent-for-organic-paid-and-ai-search",
        "votes": 16,
        "created_at": "2026-03-12T18:10:29.538Z"
      },
      {
        "id": 90559,
        "title": "Gauge - Show up in more AI answers",
        "tagline": "💡 Gauge helps your company show up in more AI answers",
        "body": "**Gauge helps your company show up more in AI answers.**\n\n### ⚠️ Why should you care?\n\n* [Google searches are falling for the first time ever](https://www.wsj.com/tech/ai/ais-threat-to-google-just-got-real-8280b4ee?utm_source=chatgpt.com) ([and Google itself is moving to AI answers](https://www.theverge.com/news/655930/google-q1-2025-earnings))\n* [Gartner predicts AI chatbots will capture 25% of search volume by next year](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents)\n\nWith traffic leaving search, traditional SEO is dying. Our customers are seeing inbound AI traffic **double every quarter**.\n\n### 💡How do we help?\n\nWe measure how often you and your competitors are referenced by AI, and derive insights from changes in the data over time.\n\nLet’s take a look at how this works:\n\nhttps://www.youtube.com/watch?v=HPXcshLuQD4\n\nWe came across this problem through an Open Source Day hosted by YC. There, we heard from a huge range of speakers, including Vercel, Elastic, Resend, and Airbyte. A consistent theme across every speaker was the new inbound they were seeing from ChatGPT.\n\nWe decided to run an experiment: [productrank.ai](http://productrank.ai).\n\n[productrank.ai](http://productrank.ai) lets you search for a topic, and see how the top models rank them. [Check it out here!](https://productrank.ai)\n\nIn just a few weeks, we reached the front page of HN, saw over 40,000 organic users, and found our first design partners.\n\nOur early customers include LendingTree, ChartHop, Resend, Helius, Standard Metrics, and more. If you’re curious in how often AI mentions your brand, [grab 15 minutes here and we’ll show you.](https://cal.com/caelean/15)\n\n### **❓Asks**\n\n* Play around with [**productrank.ai**](http://productrank.ai)!\n* Curious how often AI mentions your brand? [**Grab 15 min here!**](https://cal.com/caelean/15)\n* Know any marketers or SEO specialists? We’d love an intro! [**Send me their name here**](mailto:caelean@withgauge.com)!\n\n![uploaded image](/media/?type=post&id=90559&key=user_uploads/323364/0b94db77-ab63-4470-afb0-6b73c6074965)\n\n",
        "url": "https://www.ycombinator.com/launches/NYd-gauge-show-up-in-more-ai-answers",
        "votes": 28,
        "created_at": "2025-05-20T17:25:21.072Z"
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    "long_description": "Stormy runs the office so your crew can run the work. Every call answered, day or night. Every quote followed up until it is a yes or a no. Jobs booked, crews scheduled, parts tracked, invoices sent and collected. Marketing that brings the work in, and an AI agent for every person on your team — all working from the same job record. Built for the shops that keep physical things running: forklift and heavy equipment service, HVAC, electrical, plumbing, roofing, logistics and yards.",
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        "full_name": "Robert Lukoszko",
        "title": "Founder",
        "founder_bio": "Prev:\n- Previously cofounded Fixkey.ai (acquired six figures, product of the day)\n- engineered large-scale data systems at ngrow.ai (YC W22)\n- build backend and trained AI models in Loóna (App of the year on iOS); \n- In AI & Data since 15 y.o (2017)",
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        "linkedin_url": "https://linkedin.com/in/karmedge",
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        "full_name": "Alex Pokras",
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        "founder_bio": "YC S24",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/pokras",
        "x_url": "https://twitter.com/alex_pokras",
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        "title": "Stormy — AI Agent for Influencer Marketing",
        "tagline": "Describe your campaign once and have the AI agent work for you while you sleep.",
        "body": "Hey 👋 I’m Robert, founder of Stormy.\n\nWe’re building Stormy because influencer marketing is still spreadsheets, manual DMs, and endless negotiations with influencers. In a world of “AI SDRs,” you should be able to describe your campaign once and have the AI agent just work for you while you sleep. Growing your business while you focus on the tech.\n\nWe recently won **Product Hunt Product of the Day**, and YC founders + agencies are already using Stormy to run micro- and nano-influencer campaigns end-to-end.\n\nhttps://www.youtube.com/watch?v=jK_8i8Wd0iQ&t=1s\n\n### How does it work?\n\nType a brief; Stormy handles the pipeline:\n\n1. **Describe your ideal creators**\\\n   “US-based AI YouTubers talking about agents, 10–100k subs” → Stormy searches YouTube & TikTok, podcasts, etc., and verifies each match.\n2. **One-click contacts**\\\n   Grab real emails in bulk (bio, site, press pages) and enrich profiles.\n3. **AI Negotiator**\\\n   Connect your Gmail and TikTok account to personalize outreach, automatic follow-ups, price extraction, and counter-offers within your budget guardrails—logged to a lightweight CRM.\n4. **Close & track**\\\n   Mark deals, export assets, and keep everything in one place (performance tracking integrations coming).\n\n### Who’s it for?\n\n* **Founders/In-house Growth** at AI & consumer apps who want predictable creator acquisition\n* **Agencies** running lots of small collabs (micro/nano) and are sick of manual workflows\n* **Creators/brands** who need a simple way to scale outreach without scaling headcount\n\n### Why now?\n\nCreator supply is exploding; attention is fragmented. Winning brands are those that can operationalize many small deals, fast. Stormy turns the “thousand tiny tasks” of influencer ops into a clean, automated flow.\n\n### What’s next?\n\n* **Promote UGC with TikTok Ads** — Spark/allowlisting in one click with budget guardrails and auto-variants.\n* **Payments & Tracking** — creator payouts, contracts/usage windows, and performance attribution (UTM, Appsflyer, PostHog) per asset.\n* **Unified Influencer → Performance CRM** — one pipeline from discovery & negotiation to ROAS/LTV.\n* **Always-on Outreach (“Auto-campaigns”)** — human-in-the-loop sequences to keep the funnel full.\n* **Light UGC Workflows** — simple briefs and clip collection (no heavy studio), with templates and QA for consistency.\n\nQuestions—or interested in learning more? Email [**robert@stormy.ai**](mailto:robert@stormy.ai)",
        "url": "https://www.ycombinator.com/launches/OGr-stormy-ai-agent-for-influencer-marketing",
        "votes": 19,
        "created_at": "2025-08-25T14:47:48.950Z"
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    "name": "Plume",
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    "website": "http://www.plumefinder.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Plume is an AI-powered geospatial platform for site selection in energy infrastructure projects. \r\n\r\nSelecting the right sites requires analysis of +50 geospatial, grid, and regulatory constraints across fragmented data sources. \r\n\r\nPlume changes the process by enabling users to interact with geospatial data using natural language.",
    "one_liner": "Renewable infrastructure deployment at scale.",
    "team_size": 9,
    "industry": "Industrials",
    "subindustry": "Industrials -> Climate",
    "launched_at": 1724527338,
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      "AI",
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    "regions": [
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      "Europe",
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    "url": "https://www.ycombinator.com/companies/plume",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/plume.json",
    "year_founded": 2024,
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    "country": "FR",
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        "full_name": "Edouard Labarthe",
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        "full_name": "Lin Ling",
        "title": "Founder/CEO",
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        "title": "Modus: Headcount management to save costs as you scale",
        "tagline": "We help companies hire and retain only the people they need without the unnecessary bloat.",
        "body": "[Modus](https://www.himodus.com) is headcount management that helps companies never over-hire as they scale. Modus brings Finance, HR, and Hiring Managers to detect, inspect, and correct their workforce plan in one unified workflow.\n\nToday, much time is wasted reconciling headcount across departments and exporting across disparate systems. Incomplete and outdated data adds to the pain. Companies overhire, then fire. Cycle perpetuates. Bloat and inefficiencies persist.\n\n[Lin](https://www.linkedin.com/in/linling1/) experienced these pains directly as VP of BizOps at HashiCorp, scaling from 100 to 2500 through IPO. Modus was founded on the belief that companies should have the fewest employees possible.\n\n# \n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/a1595755-bf0e-4166-a296-2badb2dcff54)\n\n# 🤯 **The Problem: Headcount planning and reporting remains manual and painful**\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/0dd981e5-f59d-40ec-8ee8-53782bb12622)\n\nOverhiring in tech has led to over 200,000 layoffs, costing companies billions. Workforce costs account for 70-80% of a company’s expenses, yet companies still make workforce decisions in error-prone, manual spreadsheets with incomplete data. Re-orgs, department changes add to the pain. Reconciliation is messy and time-consuming. Accuracy suffers. The cycle perpetuates. As Taylor Swift might say, _“I’ve seen this film before, and I didn’t like the ending.”_\n\n# 🪄 **Our Solution: AI-powered headcount management**\n\nModus integrates with your existing HRIS and ATS systems, using AI to help you detect anomalies, inspect, and correct your workforce plan.\n\nWith Modus:\n\n❌ Overhiring\\\n❌ Layoffs\\\n❌ Incomplete data \\\n❌ Useless meetings \\\n✅ Hire and retain only the people you need\\\n**✅** Increase visibility\\\n**✅** Collaborate off a single source of truth\\\n**✅** Save costs as you scale\n\nThe more Modus learns, the more it streamlines and automates your headcount management processes at scale.\n\n# 🙋🏻‍♀️**The Ask**\n\n**Share this post!**\n\nKnow anyone in your network managing headcount, bogged down by spreadsheets? A VP in Finance, HR, or Operations? Please share this post (or the blurb below).\n\n* _Modus is headcount management to save costs as you scale. With the help of AI, our software analyzes extensive data across your organization, helping you remove the bloat and correct your workforce plan – all in one unified workflow. Founders are Lin (ex-HashiCorp), Amar (ex-Finfare), and Chris (ex-OpenGov, 2x founder) with combined experience scaling companies from 0 to 1, to $8B+, and through IPO. Contact _[_lin@himodus.com_](mailto:lin@himodus.com)_ for a demo and trial._\n\n![uploaded image](/media/?type=post&id=83088&key=user_uploads/1899616/63aaef2e-9c70-4e4e-a022-617e76385024)\n\n",
        "url": "https://www.ycombinator.com/launches/Lc8-modus-headcount-management-to-save-costs-as-you-scale",
        "votes": 60,
        "created_at": "2024-08-15T16:36:11.526Z"
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    "long_description": "TaxGPT AI co-pilot for accountants and tax professionals increases tax firm's productivity and profitability by 10x by automating tax research, client communication, onboarding flows and secure document collection.",
    "one_liner": "AI tax assistant for professionals and businesses",
    "team_size": 45,
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    "linkedin_url": "https://www.linkedin.com/company/taxgpt",
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        "full_name": "Kashif Ali",
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        "user_id": 1750099,
        "full_name": "Isabella Maceda-Ali",
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        "date": "Feb 06, 2025"
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        "url": "https://a16z.com/generative-ai-in-accounting/",
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        "title": "🚀 TaxGPT: AI tax co-pilot for accountants",
        "tagline": "TaxGPT increases the productivity & profitability of accounting and tax firms by 10x.",
        "body": "**TL:DR:** TaxGPT AI Tax co-pilot automates tax research, client communications, and document collections for accounting and tax firms, increasing their productivity and profitability by 10x. [Learn More](https://www.taxgpt.com/)\n\n\\\n📜 **Introduction and Backstory**:\\\nHi everyone, We are [Kashif](https://twitter.com/ChKashifAli) and [Isabella](https://linkedin.com/in/imaceda), co-founders of TaxGPT. After we faced a tricky tax decision. We created TaxGPT. Little did we know that this tool would quickly become a go-to research assistant for accountants.\n\n![uploaded image](/media/?type=post&id=83384&key=user_uploads/1748881/e70fc62d-7a7c-4a62-8836-2b8dcbb83d54)\n\n**🛑 The Problem:**\n\nThere is currently a shortage of 340k accountants in the USA. Accountants are overworked and leaving the profession; not enough new professionals are joining it.\\\n\\\n**💡 The Solution:**\n\nTaxGPT helps accountants work smarter, not harder. We automate client communications, tax research, replying to IRS notices, capturing leads, and collecting documents so accountants can focus on what truly matters. 📈💼\\\n\\\n🔍 **How it works?**\\\n<https://www.youtube.com/watch?v=yyMywFYDnzA>\n\n**🙏 The Ask:**\n\nPlease introduce us to your accountants or any family members who are CPAs, tax lawyers, enrolled agents, or tax preparers. Here’s a quick blurb.\\\n\\\n“_Hey There,\\\nI wanted to introduce you to TaxGPT, an AI co-pilot that can help you boost your productivity and profitability by 10x. It’s designed for accountants and tax professionals, and it’s already making waves in the industry. Check it out at_ [_taxgpt.com_](http://taxgpt.com)_”_",
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        "votes": 34,
        "created_at": "2024-08-26T18:15:51.557Z"
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    "long_description": "Fazeshift is an AI agent for automating Accounts Receivable. What used to take teams of people and hours of manual work can now be fully automated with Fazeshift. \r\n\r\nCaitlin and Timmy met while getting their MBA at Harvard. After graduating, they started a B2B marketing software startup, which is where they first experienced the pain of this process.\r\n\r\nThe problem stems from fragmented data across software platforms like QuickBooks, Stripe, NetSuite, DocuSign, HubSpot, and Salesforce. Fazeshift’s infrastructure connects the data across these software platforms and uses LLMs to automate the previously manual workflow.",
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        "full_name": "Caitlin Leksana",
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        "founder_bio": "Caitlin is the co-founder and CEO of Fazeshift. Before Fazeshift, Caitlin was CEO of a crypto marketing automation startup where she sold to global enterprises including Square Enix, dYdX, and the founder of Marvel Studios. She spent 2 years as a consultant at BCG advising tech companies on product, operations, and pricing strategy. She received her MBA from Harvard Business School and has a deep personal understanding of the operational pain points that Fazeshift has set out to solve. ",
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        "full_name": "Timmy Galvin",
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        "founder_bio": "Timmy is the co-founder and CTO of Fazeshift.  He previously worked at a fintech startup using AI to automate bank operations and financial services.  Timmy holds two computer science degrees from MIT and an MBA from Harvard Business School.  He served for seven years as a nuclear submarine officer in the US Navy, taught cybersecurity at the US Naval Academy, and holds a software patent for data algorithms.",
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    "news": [
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        "title": "Exclusive: Fazeshift Scores $17M As Investors Bet On AI-Powered Finance Ops, Starting With Accounts Receivable",
        "url": "https://news.crunchbase.com/fintech/fazeshift-accounts-receivable-ai-finance-ops-startup-funding/",
        "date": "May 07, 2026"
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      {
        "title": "AI for accounts receivable startup Fazeshift raises $4M",
        "url": "https://www.axios.com/pro/fintech-deals/2025/01/07/account-receivable-startup-fazeshift-4-million",
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      {
        "id": 82136,
        "title": "Fazeshift - Better Accounts Receivable, with zero employees",
        "tagline": "AI-powered Accounts Receivable at a fraction of the cost.",
        "body": "We help companies nail their Accounts Receivable process without the need for a single employee.\n\nHistorically, this process was run by a team of people using an outdated spreadsheet to track millions of dollars of receivables. This time-consuming and error-prone process means money is left on the table as unpaid invoices pile up. Modern companies rely on Fazeshift for better Accounts Receivable at a fraction of the cost. \n\nHi everyone, we’re Caitlin and Timmy — the founders of [Fazeshift](https://www.fazeshift.com/).\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXfWzHTAPGsTO1pbNGPjGi7c7t4x89UfuHPJsNONuyWTqt8gbszjfm6a7h69VE6CeupRNhE-hR-xsMkTHCKQHOtV8G6S5XQRN3nI6-qOF22V8OAp-2viZ-j2RQVRxAgGTHpHZdjkiArjVBI4Jqc_huuQEAc?key=qvP4PVNSBbc2lXF_HIWyxA)\n\n# **🤯 The Problem: Invoicing is very manual**\n\n500 billion invoices are sent each year. Yet even today, companies still rely on humans and spreadsheets to manage them.\n\nMost companies staff an entire team of people solely dedicated to this process. This labor-intensive, costly, and error-prone process results in money left on the table.\n\n# **🎉 The Solution: AI Agents for Accounts Receivable**\n\n[Fazeshift](https://www.fazeshift.com/) integrates with your existing tools (Salesforce, HubSpot, DocuSign, Stripe, QuickBooks, NetSuite, Gmail, etc.) and automates the entire end-to-end process.\n\n**With Fazeshift, you can:**\n\n❌ Eliminate tedious manual tasks\n\n❌ Eliminate unnecessary meetings \n\n❌ Eliminate messy spreadsheets\n\n✅ Increase visibility\n\n✅ Reduce unpaid invoices\n\n✅ Have confidence that your process will scale\n\n![](https://lh7-us.googleusercontent.com/docsz/AD_4nXdgzpGtzIXhF_gaR_q2SO_6Zif723tS8RSFJeCqAiPdpIS58QlmrJ-e_ImWUkp-Z7IhLGBI29061Qb8ifV5EHjpadeSvKR0vBCchHRZBfa0hRi0MYlMOjmeC_OcrAOVgHlPv0A_R5HZAQRgSmrsOTwj2UKq?key=qvP4PVNSBbc2lXF_HIWyxA)\n\n# **🙋Our Ask: How you can help**\n\n* **Share this post!** -  Do you know anyone in your network that deals with a lot of invoices? Do you know a CEO, CFO, or VP of Finance that would find this relevant? Please share this post (or blurb below).\n  * _Quick blurb to copy & paste:_ A team of Harvard & MIT grads created an AI-powered Accounts Receivable platform that automates invoicing, cash application, and collections. Save valuable time and reduce unpaid invoices with [Fazeshift](https://www.fazeshift.com/). Contact [sales@fazeshift.com](mailto:sales@fazeshift.com) for a demo and free trial.",
        "url": "https://www.ycombinator.com/launches/LMm-fazeshift-better-accounts-receivable-with-zero-employees",
        "votes": 242,
        "created_at": "2024-07-16T13:17:22.144Z"
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        "user_id": 1661832,
        "full_name": "Juan Castaño",
        "title": "Founder/CEO",
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        "title": "Benchify: Instant self-healing codegen",
        "tagline": "Fix & bundle your generated code at lightspeed",
        "body": "### **TL;DR**\n\nBenchify handles the middle mile of codegen ensuring that generated code just works and is instantly executable. It’s a one-line SDK call between LLM clients and sandboxes to deliver instant code repair, accelerated bundling, and observability.\n\n### **Who**\n\nAnyone depending on non-human-in-the-loop codegen: – app builders, dynamic websites, agents, etc.\n\n### **Problem**\n\nGenerated code breaks — constantly.\n\nOn top of normal bugs like duplicate function calls, parse errors, or missing or extra parens, AI systems introduce new ones, such as stray tool calls, /\\* rest of code goes here \\*/, and malformed diff applications. Running that code inside sandboxes only compounds the pain: every piece has to be perfect for execution to succeed, and the sandbox boot time delays the inevitable. Since all the sandboxes are just firecracker VMs designed to run anything, they’re not optimized for the common workflows builders actually care about. The result is slow setup, fragile execution, and painful feedback loops.\n\n* **Missed errors**: Users hit error screens as soon as code loads in the browser. \n* **Delayed generations**: LLM-based auto-healing stretches generation times, slowing iteration.\\\n  **Token burn**: Edge-case failures trigger endless retries that chew through tokens without progress.  Often bugs are inherently out-of-distribution and thus hard to fix with AI.\n* **Setup lag**: Sandboxes take 30-120s to boot before code even runs, adding cold-boot lag to the rep-cycle when there’s an error.\n* **Lost data:** Sandboxes don’t easily track errors and the errors or only show the first (breaking) bug, making it hard to detect all the errors in code at once to push improvements \n* **Templates:** The use of templates speeds up sandboxes but leads to even more brittleness as the template has to be in perfect lockstep with the codegen.\n\n \n\n### **Solution**\n\nBenchify combines **non-AI techniques** (static analysis + program synthesis) with **highly optimized infrastructure** to deliver _turn-key code_ — fixed and bundled — in O(1 second).\n\nIt drops in as a **one-line SDK call** between your LLM client and the sandbox. If you’re only doing front-end work, you can skip the sandbox entirely and render directly from Benchify’s bundled output.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/dcd85900-d61c-47e4-b71e-0ef6244e5fd0)\n\n**Code Repair**: Sub second fixes for parsing, dependency, CSS/Tailwind, type, and interaction errors (e.g. empty-Select) with more on the way. If there’s an issue you’re running into, let us know and we can add a fix!\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/5d3a354c-69ee-4f5c-8437-0d0360f28874)\n\n**Bundling**: Build and dependency resolution in 1-3s.\n\n* _Front-end_: Returns code that instantly renders on client via our SDK.\n* _Full-stack_: Bundles code that executes in any sandbox (skipping slow dependency & build steps) — the only delay left is sandbox cold boot.\n\n![uploaded image](/media/?type=post&id=94193&key=user_uploads/1661832/10606bbc-8df4-43f8-a574-aa9f0bd97d26)\n\n**Observability**: Analytics on error patterns in generated code.\n\n**Product Demo** \n\nhttps://youtu.be/my7yzpp8AqY\n\n### **How it works**\n\nBenchify’s analysis engine detects bugs and dispatches them to a growing library of static repair strategies in a fraction of a second. Strategies are optimized for different bug types, and layered using an incremental parsing approach, since sometimes fixing one bug unlocks others.  Each candidate fix is re-analyzed, with the best one selected automatically provided it yields a strict improvement in the code.  The architecture builds on prior research in _program synthesis_ and _program repair_, where the idea is to have a collection of strategies that may or may not work at fixing different bug types, combined with an analysis and execution engine that can efficiently determine whether or not a strategy succeeded.\n\n### **Story**\n\nWe entered YC with a formal-methods-driven code review product. But unreliable LLM-generated test harnesses kept breaking it. Talking with builders made it clear: **the real bottleneck was brittle codegen itself.** We pivoted to focus entirely on making generated code self-healing.\n\n### **Ask**\n\nWe’re focused on app builders today, but our core tech generalizes: agents, self-updating sites, programmatic ads, and more.\n\nIf generated code is slowing you down, let’s talk.",
        "url": "https://www.ycombinator.com/launches/OVF-benchify-instant-self-healing-codegen",
        "votes": 36,
        "created_at": "2025-09-29T17:06:35.366Z"
      },
      {
        "id": 83014,
        "title": "Benchify: Automatic code reviews that work",
        "tagline": "Better testing without writing tests.",
        "body": "![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/cb65a61c-fa84-4ccf-a1d5-2f6bf33b88fa)\n\n# TL;DR\n\n[Benchify](https://www.benchify.com/) is a code review tool that uncovers real bugs by actually running your code on strategically generated inputs, using methods typically restricted to rocket science and chip design.  When errors are found, Benchify provides verified bugs, unit tests, and a patch (coming soon).\n\n# The problem\n\nEngineers (like you) spend almost half their time testing and debugging, which, let’s be honest, they’d rather spend doing literally anything else.\n\n* **Lower velocity:** Projects are delayed by testing & debugging\n* **Site outages:** Despite all the effort, critical errors slip through, leading to site outages and other failures\n* **Low test coverage:** Developing exhaustive tests is nearly impossible and generally put off for later…\n* **Shallow test depth:** Testing is limited to a few hard-coded cases\n\n# The solution\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/ed5d818b-cba4-41cf-9ca7-f9b9ca419737)\n\nWe test your code using _magic_ (ok, formal methods) and deliver the results in an actionable comment on your PR.\n\n* **Automatic logical blueprint:** Benchify automatically writes a blueprint that says how your code is intended to function\n* **Run thousands of tests:** Benchify tests your code against the blueprint using thousands of strategically generated inputs\n* **Provide counterexamples:** Concrete, minimal counterexamples are provided when code fails so you can easily debug\n* **Generate unit tests:** We automatically translate counterexamples into unit tests for easy reproducibility and test-driven development\n* **Propose solutions:** When Benchify detects an error, it attempts to propose a solution, which it subjects to the same battery of tests as the original code\n\n## Does it work?\n\nThe testing techniques Benchify uses are typically leveraged for mission critical use cases, such as silicon chip design, rocket engineering, and high-speed trading. Our secret sauce is in making these techniques usable and actionable. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=83014&key=user_uploads/1661832/09a8c140-f845-4f96-9113-6daac4963be2)\n\nMax and Juan first met as bright-eyed freshmen at Dartmouth College almost a decade ago and have been fast friends and on-and-off roommates since.  They’re deeply passionate about software assurance (who isn’t?) and excited to test your code.\n\n* [**Max**](https://www.linkedin.com/in/max-von-hippel-3b90742a8/) holds a PhD in Computer Science from Northeastern University, focused on security and interactive theorem proving. He has worked at NASA, the DoD 😉, and Galois. Most importantly, he holds a Blue Belt from 10th Planet Jiu Jitsu. \n* [**Juan**](https://www.linkedin.com/in/juan-castano97/) built and sold a business, helped companies like Instawork and Klaviyo grow, and advised on deals at McKinsey. Juan double-majored in Economics and survival skills at Dartmouth (okay, the second one isn’t official), and later picked up an MBA from MIT, where he unfortunately missed out on a chance to test his skills with the [pirate certificate](https://physicaleducationandwellness.mit.edu/about/pirate-certificate/).\n\n# Asks\n\n* Hop on a [call](https://calendly.com/d/cpyy-ffc-ynf/juan-max-30-min) with us to try out Benchify or talk about your frustrations with software testing\n* [Try out](http://www.benchify.com) our beta code reviewer and give us feedback\n* Shoot us an email at [hello@benchify.com](mailto:hello@benchify.com) with your biggest backend software testing pain points, and we’ll see if we can help out!",
        "url": "https://www.ycombinator.com/launches/Law-benchify-automatic-code-reviews-that-work",
        "votes": 45,
        "created_at": "2024-08-13T23:22:03.337Z"
      }
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    "id": 29730,
    "name": "Saturn",
    "slug": "saturn",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b86d0449e238a14d1e61291d7f68a95e0d8fafc5.png",
    "website": "https://www.SaturnOS.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "At Saturn, our mission is to make financial peace of mind more accessible by building the best operating system for wealth managers. \r\n\r\nWealth and Asset Management is one of the world’s highest revenue-generating industries, yet it remains painfully inefficient. The sector relies heavily on disjointed legacy systems, manual human tasks, and a complex web of intermediaries, all of which increase costs. \r\n\r\nSaturn is an AI-powered operating system for wealth management built to automate investment research, streamline operations, and ensure compliance. Saturn creates the best version of truth, empowering investment advisors to work more efficiently, navigate complex regulatory landscapes, and deliver personalised, high-value services to their clients.\r\n\r\nToday, Saturn supports over 200 firms globally that manage more than £35bn in assets under management (AUM) and over 200,000 clients.\r\n\r\nAs the industry grows, it faces massive operational challenges like bad tech, advisor retirements, regulatory pressure, an increased cost base, and transformational opportunities like great intergenerational wealth transfer and changing consumer needs.\r\n\r\nSaturn aims to be at the forefront of this transformation, driving the future of wealth management.",
    "one_liner": "Compliance and back office workflows for Wealth Managers.",
    "team_size": 18,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1724331890,
    "tags": [
      "Fintech",
      "Generative AI",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United Kingdom",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Managing wealth and access to financial services will be a standard for all."
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    ],
    "url": "https://www.ycombinator.com/companies/saturn",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/saturn.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/saturntechnology/",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 352395,
        "full_name": "Amal Jolly",
        "title": "Founder/CEO",
        "founder_bio": "Financial peace of mind enables every human to achieve more; we are on a mission to scale that\n\nExperienced in Product/GTM in Banking, Insurance, Wealth/Asset Management and Capital Markets technologies.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/amaljolly",
        "x_url": "https://twitter.com/theamaljolly",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8db0d45ea9f12cf5f9d62737b29c4b8258a880bd.jpg"
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      {
        "user_id": 807826,
        "full_name": "Michael Ettlinger",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-Founder at Saturn AI\n\nLaunched AI products used by 20M+ users across various industries. Background in AI research, focused on AI Agents since 2017.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michaelettlinger/",
        "x_url": "https://twitter.com/etticat",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ea236a5751ed0c5dbff98c5e951e9463e85f31c.jpg"
      },
      {
        "user_id": 1537188,
        "full_name": "Rohit Vaish",
        "title": "Founder",
        "founder_bio": "President & Co-founder at Saturn. \n\nRohit has expertise in building investment portfolios for Wealth Management firms having spent over 5 years at BNY Mellon. Alongside that, he also led firm wide compliance initiatives across the UK fund management company to assess value for money and client suitability. \n\nAfter leaving financial services, Rohit led Product and Operations teams in a variety of startups before founding Saturn. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohit-vaish/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71e7457aa02f2414c70e8529ecdbcbb9953e3ffc.jpg"
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    ],
    "jobs": [
      {
        "id": 93044,
        "title": "Senior Product Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/Q5qgxQy-senior-product-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£90K - £150K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 104497,
        "title": "Partner",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/X6cOXNi-partner",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "£140K - £190K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107398,
        "title": "Founding Talent Partner",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/5Yqfhgl-founding-talent-partner",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Full cycle",
        "salary_range": "£60K - £100K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 107399,
        "title": "Staff Product Manager",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/BwKwkZ5-staff-product-manager",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "£120K - £150K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 107400,
        "title": "Lead Product Manager",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/UkxWKgo-lead-product-manager",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "£120K - £150K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 107401,
        "title": "Senior Backend Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/pj3ssuS-senior-backend-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£90K - £150K GBP",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 109810,
        "title": "Accounting Associate",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/t7X9JIR-accounting-associate",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Finance",
        "role_type": null,
        "salary_range": "£60K - £80K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 110201,
        "title": "Data Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/oD1WgWP-data-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "£80K - £130K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 110202,
        "title": "Security Engineer",
        "url": "https://www.ycombinator.com/companies/saturn/jobs/OJLrDTi-security-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "£80K - £130K GBP",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    ],
    "news": [
      {
        "title": "Our $15M Series A To Make Quality Financial Advice Accessible - Saturn | AI for Financial Advice",
        "url": "https://www.saturnos.com/journal/saturn-15m-series-a-to-make-quality-financial-advice-accessible",
        "date": "Oct 22, 2025"
      },
      {
        "title": "Saturn | 14 wealthtech startups to watch, according to VCs | Sifted",
        "url": "https://sifted.eu/articles/14-wealthtechs-to-watch-according-to-vcs",
        "date": "Feb 16, 2025"
      },
      {
        "title": "How three IFA firms are using AI ",
        "url": "https://citywire.com/new-model-adviser/news/how-three-ifa-firms-are-using-ai/a2458184",
        "date": "Feb 10, 2025"
      },
      {
        "title": "FEIFA partners with fintech pioneer Saturn | International Adviser",
        "url": "https://international-adviser.com/feifa-partners-with-fintech-pioneer-saturn/",
        "date": "Dec 10, 2024"
      },
      {
        "title": "How wealth and financial advice firms have embraced AI in 2024 - FTAdviser",
        "url": "https://www.ftadviser.com/adviser-technology/2024/12/4/how-advice-firms-have-embraced-ai-in-2024/",
        "date": "Dec 02, 2024"
      }
    ],
    "launches": [
      {
        "id": 83502,
        "title": "🪐 Saturn: Backoffice and Compliance automation for Wealth Managers",
        "tagline": "We help wealth managers be super efficient on investment research, compliance and back-office operations",
        "body": "**tldr:** [Saturn](https://www.saturnos.com/) automates investment research, compliance, and back-office workflows for wealth managers, significantly reducing operational costs and freeing up time to focus on client engagement and growth.\n\n—\n\n---\n\n---\n\n---\n\nHey everyone, we're [Michael](https://www.linkedin.com/in/michaelettlinger/), [Rohit](https://www.linkedin.com/in/rohit-vaish/), and [Amal](https://linkedin.com/in/amaljolly), and we are on a mission to make wealth building more accessible for everyone by making wealth managers more efficient and scalable.\n\n![uploaded image](/media/?type=post&id=83502&key=user_uploads/352395/3ed6ecb3-c388-4a19-ba8d-49b9268f54ad)\n\n🧨 The Problem:\n\n# Servicing a client with compliance and back-office tasks is a time drain\n\nWealth managers spend an inordinate amount of time and resources on manual compliance and administrative tasks. This inefficiency leads to higher operational costs and limits their ability to serve more clients effectively.\n\nTake our client, Jason, as an example. Jason runs a mid-sized advisory firm in Norwich, UK, with over 15,000 clients and spends over 15 hours per client per year on compliance paperwork and back-office management all for doing one check-in a year. \n\nThese manual processes drain his time and increase operational costs. This time and money could be better spent on growing his client base and enhancing client services.\n\n🎉 The Solution:\n\n# Automated AI-powered wealth management operating system built for scale and personalisation\n\n![uploaded image](/media/?type=post&id=83502&key=user_uploads/352395/d23cb6a5-b78d-4494-8b52-4dea6abc4d31)\n\nSaturn helps wealth managers like Jason automate their compliance and back-office tasks, allowing them to focus more on client engagement and growth. Our platform uses AI to streamline processes and ensure real-time compliance, including:\n\n* Personalised investment research  \n* Faster client onboarding \n* Seamless Compliance reporting \n* Client growth & analytics\n\n**Using Saturn, wealth managers:**\n\n✔️ Save over 50% of the time typically spent on compliance and admin tasks  \n\n✔️ Increase operational efficiency, allowing them to offer more services and serve more clients\n\n✔️ Improve personalisation, retention and net revenue from their client\n\n💎 Opportunity:\n\n# Driving the Future of Wealth Management\n\nWealth management firms, like Jason's, waste countless hours and resources on manual compliance and operations—a massive inefficiency across the industry. Saturn is uniquely positioned to eliminate this burden through complete AI powered backoffice automation.\n\nImagine a world where wealth managers can seamlessly guide clients through their entire financial lifecycle, making this service accessible to many more people. This is the future Saturn aims to create.\n\n> Big opportunities like the wealth transfer, growing consumer needs amongst wider demographics requires a more digital and robust system to serve them.\n>\n> The current systems simply cannot scale to serve the need, they are plagued by operational challenges added by bad tech, increasing regulatory pressure, and cost base.\n>\n> This industry is in a dire need of a transformation\n>\n> **Saturn aims to be at the forefront of this transformation, driving the future of wealth management.**\n\n**✅ Progress so far**\n\n1. Grown to serve 200 firms globally\n2. Cashflow positive since month 2 in the market, live since Feb.\n3. Awesome team of 8 people.\n\n👋 **Ask: How you can help**\n\n1. Connect us to wealth managers or financial advisors in your network. [Intro us.](https://mailto:founders@heysaturn.com)\n2. Know any killer engineer or product visionaries with experience in Wealth Tech and Financial Services. [Intro us.](mailto:founders@heysaturn.com)",
        "url": "https://www.ycombinator.com/launches/Lio-saturn-backoffice-and-compliance-automation-for-wealth-managers",
        "votes": 42,
        "created_at": "2024-08-28T14:24:38.046Z"
      }
    ]
  },
  {
    "id": 29734,
    "name": "Vibe",
    "slug": "vibe",
    "former_names": [
      "Focal"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36316f5320bb1c084323c3ac2eb95b29e9fa8207.png",
    "website": "https://vibe.codes",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vibe enables everyone to turn their thoughts into real world apps through conversation. Let’s vibe code the future.",
    "one_liner": "Making everyone a software engineer",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1720475145,
    "tags": [
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      "B2B",
      "Web Development",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/vibe",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/vibe.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
      {
        "user_id": 55641,
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        "body": "**TLDR:**\n\n[MagiCode](https://www.magicode.ai/) is a **proactive** AI pair programmer that intuitively understands developers' actions in real-time, actively anticipates their next steps, and offers assistance even before they ask.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdi0SQOOv0alhPERCWVCENvw7nB-U00PP82FQpevrGFc4QLGSwd53sQQ7E0FR5Vomx_GZxdx_9fflyHAWQi1-nJpg-L1KfwOqf-xvYbVInucv5T-rYfH0sqeIuhzU1xMsjgbbUvewcy7J0_2SqrGUWTWZzj?key=IP7Rk802TWBSSnOAUrqnyQ)\n\n**Why are we building this? ⚙️**\n\nWe were active users of various AI coding tools even before they were named “pair programmers”. However, the experience was underwhelming because: \n\n1. they are **not really “intelligent”**: we always had to type out multiple shortcuts for our queries to be routed to the right AI agent to handle. \n2. when we were deeply immersed in a task/implementation, we often didn’t know **how, or what** to ask the AI Coding tool. For example, when implementing a button that triggers a POST/ request to the backend API, we have to constantly jump around multiple files, making modifications across different functions. In this scenario, before asking the AI to help us with implementation, we actually have to spend time thinking about “how” to frame our questions:\n\n \n\n* How do we explain what the functionality of this button is? \n* Which file names should we mention to the AI as being relevant? \n* How can we succinctly phrase all relevant context, including current progress or past edits/changes that we have made, so that the AI will give us the best output?\n\nAs a result, we often resorted to doing everything ourselves to avoid the tedious back-and-forth. \n\nIn those moments, we realized what we wanted was a tool that could **fetch global context** without relying on shortcut commands, anticipate our needs, and even understand what we were thinking before typing anything— something that was always **“on the same page”** with us. That’s exactly what led us to create MagiCode— a tool that can answer all the developer’s questions intelligently, and also **proactively assist** without needing to be prompted.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcgtDCwIm0PlMe_DCSQip8X8jXRnbAeLD9SCjhBN43ZcTRbnyfl8Mhi3WTfOVJyXwaYO50Ef2ZZtGPcq8bKngNnBgc0071stmvyCd1HdlYlJUVJfKNLKGT1IWpoLmX9B2GroQSiBhGjQj3sS7reml024gq1?key=IP7Rk802TWBSSnOAUrqnyQ)\n\n**How are we different from existing solutions? 🤔**\n\n* **Proactive Assistance:** We bring the answers to you without you even asking. MagiCode is designed to constantly analyze the project's state and make suggestions for what you can do next. As a user, all you have to do is click on a suggestion and watch as MagiCode works on files asynchronously and brings you the finalized results with easy-to-view diff files. \n* **Personalized Memory:**  We have personalized memory retainment of your editing history, editor state, and user activity. We designed an intelligent system that processes all this information in a low-latency manner and uses it naturally when answering the user’s queries.\n\n### **Watch MagiCode in action! 🤯**\n\nhttps://www.youtube.com/watch?v=EPM_eOL8BRE\n\n### **Our ask 🙏**\n\nWe are currently onboarding users for MagiCode. \n\n* If you’d love to try MagiCode, we are active on **Discord** and would be happy to help you onboard and answer any questions. You can join our discord here: https://discord.gg/tqveBrwd \n* If you know an engineer who is interested in trying out AI Coding tools, tell them about MagiCode! \n* You can also reach out to us directly at [hello@magicode.ai](mailto:hello@magicode.ai) to talk more about the future of AI-powered coding. Feel free to book a time with us here: https://www.magicode.ai/book-a-demo/ 😊\n\nLet’s build with Magic! ",
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        "body": "Hey YC - [Naveed](https://twitter.com/naveedjanmo) from [Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) here. We help industry and academic researchers read, write, and organize research papers really quickly.\n\nWe launched just over a year ago, and today, we have 1.3M users, including teams at Johns Hopkins, Stanford University, and Roche Pharmaceutical.\n\nTry it here: [unriddle.ai](https://www.unriddle.ai/?utm_campaign=yclaunch)\n\n### **Problem**\n\nUnderstanding the key themes, findings, and gaps in a field often involves sifting through hundreds of research papers. It’s a time-consuming and disorganized process.\n\nAnd when working across multiple disciplines, researchers may lack the contextual or domain knowledge needed to fully grasp a paper’s significance.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/20c1dfde-aa65-4195-b034-672f74d6d2d4)\n\n### **Solution**\n\nUnriddle uses language models to help researchers quickly and deeply understand papers, write literature reviews, prepare citations, and keep the entire research team on the same page.\n\nIt understands the context behind your research – synthesizing relevant findings, highlighting connections between papers, and suggesting related studies you might have missed.\n\n![uploaded image](/media/?type=post&id=83362&key=user_uploads/1365789/4a10250b-cd45-4731-bce7-5c93d3ae2322)\n\n### **Ask**\n\nIf you read or write research papers in any capacity, [try Unriddle](https://www.unriddle.ai/?utm_campaign=yclaunch) and let me know what you think at [naveed@unriddle.ai](mailto:naveed@unriddle.ai).\n\nIntros to research teams, particularly those in life sciences (e.g., biotech, pharma, and healthcare).\n\n— Naveed\n\n:)",
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        "title": "Planbase - Workforce management for modern healthcare",
        "tagline": "Everything you need to manage your healthcare workforce",
        "body": "**TLDR;** COVID accelerated a trend towards hybrid (in-person and virtual) care which makes healthcare delivery increasingly complex. Yet modern clinics still rely on outdated tools to manage their workforce which causes low margins and makes it hard to scale. [Planbase](https://www.joinplanbase.com/) has everything modern clinics need to manage their team: capacity planning, employee scheduling, availability management, credentialing and payroll.\n\n### **🚀 Progress: 800+ clinicians in 6 weeks**\n\nSince launching with our first customer, we've reduced their time spent scheduling by 70% and enabled a 40% increase in patient visits.\n\nPlanbase is now used by 800+ clinicians across all 50 US states and LATAM. \n\n**Here’s what our customers have to say:**\n\n> _Wanted to let ya'll know how kick ass and amazing Planbase is as a tool for us. Complete game changer in the way we are operating and how we are streamlining some of our new operations._\n\n### **❌ Problem: Healthcare staffing has become more complex**\n\nModern providers now operate with a combination of in-person visits and asynchronous chats across multiple states, time zones, payors, specialties and employment types (contract & permanent), with many employees now working remotely. This, combined with rising labor costs, makes it difficult for healthcare practices to scale profitably.\n\n### **✅ Planbase: All-in-one workforce management for healthcare**\n\n* **Simple scheduling that matches patient volume:** Predict patient volumes across states, service lines and visit types. Determine the precise number of providers, align this with their availability, and dynamically adjust schedules.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXe09aYb3xn6W3SyBTDjLf7chfEx9vU1moQy_RDXJkZB_9ilSV9hIqwyvcbWywn03caI2E59AEkITpDX-lCkP8a665bT0r9bHqmFxsw4cJSKAVJ1X7HJ-s9CugIYIaqX1Y-iSU6oF6L1QUsHVdgcXTeqD5qj?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Easily manage remote teams:** Allow providers to claim shifts, request leave, track their time, and submit availability with our self-serve Slack App.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf1gC7_cmfY00XXpOnkWwk-DMx3rKDlhjp32DDZPhfA5tJiwuvWTPZbf-LfoeIBjXV60w45Y83xJkLp3hylP8_x6BN9QkelRatCdjkCeC7ZBZOoDybSAZXPGzQKhrXnBYcUq1uKAHcb5y5gKL9vYBnAeGJS?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Credentialing in one place:** Track and manage credentialing across states, EMRs, and payors.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXejx6n2-eG9snKxrSkCuzeO_c987eM7xvVjF-Mqtc8X3dNK_0AWh6zIHFdNxI_Q2oNBMMOsaDcKmny8eSffEGMYVFGn9a9eGPJ1uovkxuLOTqdACBMSBud8QEjnFsdnr7FfLL4UxqjJ3cVic5lEKxB9gIx4?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n* **Payroll built for healthcare**: Simplify payroll with automated calculations for industry specific pay rules like on-call, per diem and per-consult pay.\n\n  ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXehY4pfDyq85pyF2Bl0qIze4kpxmUUzKnrY2zD3OlhSPDG0845efDEwz9_6voXgtdOKlQGGVFPeRVWrPfBIXQJxnUDEu7Q28AxJqo5kVqZ_VRGzsjZl24eogfNKMT5oMGlzIiLiuh5P9XwRvP34xHXgABM?key=dge8TxQPcbW_Jrv-0SCJUw)\n\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=82985&key=user_uploads/841268/14a4a970-cea3-4dbf-9fb6-84b69f2c04a9)\n\n[Jack](https://www.linkedin.com/in/jd-light/) – Econ PhD from UChicago studying workforce optimization. Research commercialized for companies like Domino’s and Getir. Oxford, ex-Rothschild.\n\n[Joe](https://www.linkedin.com/in/joes20/) – Previously led product at a workforce management platform. Repeat founder, ex-McLaren Engineer.\n\n### **Our ask**\n\nWe’d love to connect with any healthcare companies that offer telehealth. Especially, if you have any connections to Wheel, SteadyMD, Ro, Hims, Carbon Health, Kry, Charlie Health, or Talkspace!\n\nReach us at [founders@joinplanbase.com](mailto:founders@joinplanbase.com)",
        "url": "https://www.ycombinator.com/launches/LaT-planbase-workforce-management-for-modern-healthcare",
        "votes": 22,
        "created_at": "2024-08-13T14:49:34.607Z"
      }
    ]
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  {
    "id": 29740,
    "name": "Redouble AI",
    "slug": "redouble-ai",
    "former_names": [
      "Deconvolute AI"
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    "website": "https://redouble.ai/",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "At Redouble AI we have developed Silverlake, a Java-native agentic AI operating system for enterprise. While other AI solutions force enterprise stakeholders to embrace unfamiliar concepts in an unfamiliar language, we do the opposite: we slot agentic AI right into the enterprise comfort zone - by mapping all agentic concepts onto established enterprise primitives in their own language, their own security model, their own infrastructure. It’s like moving from Bitcoin to Stablecoin, just for agentic AI. \r\n\r\nWhen we did YC we realized there was no framework or platform that gave us as enterprise and workflow automation veterans what we needed to build truly secure, reliable, and scalable agentic solutions for mission-critical workflows. That’s why we spent the past 18 months building Silverlake from the ground up. \r\n\r\nWe empower the 12 million Java engineers worldwide to write and deploy their own AI, securely, at scale. They define an agent in a few lines of code, and our platform does everything else, from orchestration to permission control, from auditability to rate limiting, from long-running agents to autonomous coordinated networks that perform the work of entire departments. \r\n\r\nSilverlake has been developed with design partners across biopharma, insurance and financial services. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player. \r\n\r\nWe are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. ",
    "one_liner": "Java-native multi-agentic AI operating system for enterprise",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1724701202,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/redouble-ai",
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 1897636,
        "full_name": "Martin Bittner",
        "title": "Founder/CEO",
        "founder_bio": "Martin Bittner is a serial entrepreneur in AI and automation for complex enterprise workflows. Before co-founding Redouble AI, he was the CEO of Arctoris, a successful pharma workflow automation company which he co-founded and led from inception to scale. In terms of background, Martin obtained his MD from the University of Freiburg in Germany, his DPhil in Oncology as a Rhodes scholar at the University of Oxford, and his MBA from The Wharton School. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marbit/ ",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b47562b3f5573a152567d5c0da70d75bb8820d5.jpg"
      },
      {
        "user_id": 1959127,
        "full_name": "Andrey Santrosyan",
        "title": "Founder/CTO",
        "founder_bio": "Andrey has spent 25 years in data and software engineering across Novartis and several startups. Specializing in devising and executing holistic data and software strategies, he led the development of over 120 software, data and AI applications, contributing to the successful market introduction of seven pharmaceutical products",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/santrosyan",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71112602568ae03373f9ba977e85b328a8e6a13c.jpg"
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    "news": [
      {
        "title": "The Workflow Control Plane: Why Identity Isn't Enough for Zero Trust Agentic Systems",
        "url": "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6714738",
        "date": "May 11, 2026"
      },
      {
        "title": "The Golden Five: Non-Negotiable Security Rules For Your Agentic AI",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2026/04/24/the-golden-five-non-negotiable-security-rules-for-your-agentic-ai/",
        "date": "Apr 23, 2026"
      },
      {
        "title": "Why GenAI Pilots Often Fail To Scale To Production",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/12/29/why-genai-pilots-often-fail-to-scale-to-production/",
        "date": "Dec 28, 2025"
      },
      {
        "title": "Five Learnings To Successfully Move AI From Pilot To Production",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/10/23/five-learnings-to-successfully-move-ai-from-pilot-to-production/",
        "date": "Oct 22, 2025"
      }
    ],
    "launches": [
      {
        "id": 101524,
        "title": "Silverlake: The Java-native agentic AI operating system for enterprise",
        "tagline": "Mapping agentic concepts onto established enterprise primitives",
        "body": "Hey YC! \n\nWe're [Martin](https://www.linkedin.com/in/marbit/) and [Andrey](https://www.linkedin.com/in/santrosyan/) from [Redouble AI](https://redouble.ai/). We have spent our entire careers in workflow automation in highly regulated industries - and just launched **the first agentic AI operating system for enterprise in Java**. \n\nOur launch video:\n\n<https://youtu.be/p2sIjfsFbHE>\n\n# ❌ **The Problem**\n\nEvery large company’s Board wants agentic AI deployed yesterday - but **the Java engineers in the enterprise who are supposed to deliver these AI solutions can’t just abandon their stack and security model and instead adopt paradigms that go against their most fundamental engineering principles**. Put differently: no enterprise Java engineer will ship production AI in Python - the cultural and engineering mismatch is too deep. In mission-critical workflows, you can’t rely on system prompts as “guardrails”, you can’t rely on only having rudimentary permission control, you can’t rely on data being moved outside of your premises. \n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/4022bdd2-26fd-4cf9-b327-9e88da4578e0)\n\n# **✅ The solution**\n\nThat is why we developed **Silverlake**, a Java-native AI operating system that **maps every single agentic concept and concern onto an established enterprise primitive**. Think of Bitcoin: it was a new technology, it was scary, and there was absolutely no way a bank would move its deposits into Bitcoin. But then, we got Stablecoins - mapping the new technology onto the familiar primitive of the US Dollar. And now, trillions of dollars are routinely being moved in Stablecoins, and it’s part of everyday finance. We do the same thing for agentic AI, slotting it right into the enterprise comfort zone.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/416be4ec-9e0c-4079-b26c-2f3895d80ce1)\n\n**For example**, agent identity is the existing identity layer, extended. Agent audit is the existing audit framework, extended. Same for orchestration, permissions, rate limiting, observability, fault tolerance. \n\nWith Silverlake **we empower the 12 million Java engineers worldwide to develop and deploy agentic solutions for their companies in a code-first platform**. They define an agent in a few lines of code, and Silverlake takes care of everything else, giving Java engineers the same granular control over their AI as they have over any other production system.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/3b4e29b9-5650-49dd-8666-3af5c376785a)\n\nIn technical terms, **Silverlake offers**:\n\n* **Deployment** in private cloud, managed cloud, on premise, hybrid or even air-gapped environments\n* Seamless **connectivity** across the entire enterprise tech stack\n* True Zero Trust, **security-first architecture** with RBAC+ABAC permissions\n* **Deterministic guardrails** enforced in code, impervious to prompt manipulation\n* **Resource management** across operations that differ by orders of magnitude (from milliseconds to minutes)\n* **Hardware and token use optimization** enabling thousands of concurrent agents even on modest hardware\n* **Incorruptible domain objects** enabling deep chains of specialized and long-running agents\n* **Full audit trails** with complete job lineage and structured reasoning on every AI decision\n* Continuously **learning from your experts while in production**\n\n# **💡 Examples**\n\nSilverlake has been **developed with design partners across biopharma, insurance and financial services**. For example, our agentic workflows write submission-ready Clinical Study Reports that are hundreds of pages long, analyze entire datarooms full of financial and operational data for private equity investors, and automate claims processing for a large insurance player, from extracting data from a faxed form to comparing against the policy in place and doing full coverage determination, benefits explanation, etc. The possibilities are endless. And as it’s all plain Java, every new deployment organically generates expansion within the organization - one engineering team automates a workflow, the team next door jumps on board, and it scales by itself from there.\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/6520cdfc-89d5-4bff-94f3-604b2df11da2)\n\n# **❓Why Java?**\n\n**12 million Java engineers run the world's enterprise infrastructure**. Python is the language of data science - rightfully so - but production agentic systems have far more in common with enterprise software than with a Jupyter notebook. Same transaction management, same permission enforcement, same deployment pipelines, same monitoring - and Java has been solving these problems for 30 years. There are great Java AI frameworks out there, but none that tackle the production infrastructure challenges - resource orchestration, deterministic security, observability at scale. That's what we built with Silverlake.\n\n# **👫 The team**\n\n**We have spent our entire careers automating complex enterprise workflows**: [Martin](https://www.linkedin.com/in/marbit/) (CEO) is a Rhodes scholar, Oxford PhD, and Wharton MBA turned serial entrepreneur who previously founded and scaled a pharma workflow automation company closing millions in enterprise deals; [Andrey](https://www.linkedin.com/in/santrosyan/) (CTO) has developed more than 120 enterprise software and AI applications in a 25 year career across large enterprise and several startups. We are backed by Y Combinator, Exponential, Transpose Platform, Tiny VC, and the Oxford Seed Fund and advised by Java inventor James Gosling and automation guru Professor Christian Terwiesch. \n\nWe'd love your support - follow us, share us, work with us, or just say hi.\n\nYou can reach us at [founders@redouble.ai](mailto:founders@redouble.ai) and <https://redouble.ai>\n\n[Book a Demo](https://calendly.com/d/cqhn-9ft-kzq/redouble-ai-demo)\n\n![uploaded image](/media/?type=post&id=101524&key=user_uploads/1897636/f59f68cb-20ac-49be-a0d5-aaa204ce600a)\n\n",
        "url": "https://www.ycombinator.com/launches/QPU-silverlake-the-java-native-agentic-ai-operating-system-for-enterprise",
        "votes": 10,
        "created_at": "2026-05-19T15:14:55.606Z"
      }
    ]
  },
  {
    "id": 29748,
    "name": "Titanio",
    "slug": "titanio",
    "former_names": [
      "Talk To Users AI",
      "Seals AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b929e31ab64052ab433ff5445d5704e41934381.png",
    "website": "https://www.titanio.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Titanio is a suite of AI Employees for Wholesalers & Distributors. Instead of relying on humans to quote, take orders, collect payments, place purchase orders and enter data into ERPs. We build AI Employees that do these manual repetitive tasks for the 700k wholesalers in the US.\r\n\r\nWe’re a team of three Computer Science majors, and Fernando launched and grew AT&T in Mexico to $120M ARR. Previously, we all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.\r\n\r\nWe realized that almost every physical product comes from B2B sales in the supply chain. However, it turns out that most of these operations are still done manually through phone and email, involving tasks like quoting, taking orders, collecting payments, entering data into ERPs, and providing support. By automating these tasks with AI agents in a human-like manner, we are creating a massive opportunity to convert $100B of payroll expenses into software spending.\r\n",
    "one_liner": "AI Employees for Distributors",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1725683549,
    "tags": [
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/titanio",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/titanio.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
    "x_url": "",
    "fb_url": null,
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    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 371540,
        "full_name": "Luis Mario Garcia",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Titanio (S24) AI Employees for Wholesalers & Distributors\n\nI am a second-time founder who built a another YC-backed (W20) grocery delivery startup and grew it to $6.3M in revenue and 30K customers. I designed all the software, including Driver, Consumer, and Warehouse Apps. I was in founder mode acquiring customers, operating warehouses, launching cities, recruiting engineers, and fundraising. I personally delivered 1,000 orders to talk to users and build the product.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luismariogarcia/",
        "x_url": "https://x.com/luismariogm",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad40b800d97d02b4b1f4a344b63b0e1d5822a855.jpg"
      },
      {
        "user_id": 639470,
        "full_name": "Heber Garza",
        "title": "Founder",
        "founder_bio": "Computer Science graduate. I am the founder & CTO of several venture-backed startups, including enterprise-grade software products. I have been writing code for the past 18 years. Before joining Seals, I led engineering at a YC-backed startup, scaling the software to 30,000 customers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/huriegas",
        "x_url": "https://twitter.com/heberuriegas",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d5692d3c565b514a9dae32aa0c2f308c1cf2ba.jpg"
      },
      {
        "user_id": 383933,
        "full_name": "Javier Gonzalez",
        "title": "Founder/CTO",
        "founder_bio": "Computer Science graduate. I have been coding since I was 12 years old. At my first company, I built an app that reached 500,000 users by myself. I am a second-time YC-backed founder who built and scaled four complex software apps, think of the DoorDash stack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/javiergzz/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69b2ac5d025810b7de274857f22ec7dc2820f6af.jpg"
      },
      {
        "user_id": 1993715,
        "full_name": "Fernando Huerta",
        "title": "Founder",
        "founder_bio": "I love technology because it is the bicycle of the mind. During my life, I have had the opportunity to:\n1. Get a Computer Science degree and make the first internet connection in LATAM in 1989.\n2. Launch AT&T in Mexico and grow it from $0 to $120M ARR as Marketing-Sales Director.\n3. Deliver 300K grocery orders to 30k customers at Orchata a YC-backed (W20) startup.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/fernando-huerta-zuniga/",
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    ],
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    "launches": [
      {
        "id": 83965,
        "title": "Seals AI - AI Employees for Wholesalers & Distributors.",
        "tagline": "We build AI Employees that do manual repetitive tasks for the 700k wholesalers in the US. ",
        "body": "**Summary**\n\n* Instead of relying on humans to quote, take orders, collect payments, and enter data into ERPs, we build AI Employees that handle these manual repetitive tasks for the 700k wholesalers in the US. \n* Team of second-time YC founders, three Computer Science majors. \n* Massive opportunity to convert $100 billion of payroll expenses into software spending.\n\n**Team**\n\nWe’re [Luis Mario](https://www.linkedin.com/in/luismariogarcia/), [Javier](https://www.linkedin.com/in/javiergzz/), [Heber](https://www.linkedin.com/in/huriegas/), and [Fernando,](https://www.linkedin.com/in/fernando-huerta-zuniga/) a team of second-time YC founders, three CS majors, and Fer launched and grew AT&T in Mexico to $120M ARR. We all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.\n\n![uploaded image](/media/?type=post&id=83965&key=user_uploads/371540/8ff71efc-5a31-4f0d-b051-c9fec86759f6)\n\n**Problem** \n\nWholesalers and distributors operate manually with human reps who use phone calls and emails to quote, place purchase orders, collect payments, enter data into ERPs, and provide support. We experienced this problem every day at our last company and realized that almost every physical product comes from B2B sales in the supply chain.\n\n**Solution**\n\n![uploaded image](/media/?type=post&id=83965&key=user_uploads/371540/8aef507d-4518-4424-b34f-3c6c6f22a6ee)\n\nAI Agents that help wholesalers make more money by communicating in a human-like manner via phone, email, text, and WhatsApp 24/7. They handle tasks such as quoting, order taking, support, data entry into ERP systems, payment collections, and document processing.\n\n<https://youtu.be/yuCP74Q0beo>\n\n**By automating these tasks, we are creating a massive opportunity to convert $100 billion of payroll expenses into software spending.**\n\n**The Ask**\n\n* We would appreciate intros to wholesalers or distributors to [founders@hireseals.ai](mailto:founders@hireseals.ai) or [demo requests here](https://www.hireseals.ai/contact)! \n* Follow us on [X](https://x.com/luismariogm)",
        "url": "https://www.ycombinator.com/launches/LqH-seals-ai-ai-employees-for-wholesalers-distributors",
        "votes": 578,
        "created_at": "2024-09-11T22:40:33.501Z"
      }
    ]
  },
  {
    "id": 29749,
    "name": "Biocartesian",
    "slug": "biocartesian",
    "former_names": [
      "coordna bio"
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        "body": "**Tl;dr**: Finding new cures requires knowing **what** and **where** the abnormal molecules are in a diseased tissue, but current tools see less than 1% of those molecules. [Biocartesian](https://www.biocartesian.com/) combines microscopy and new chemistries to see a comprehensive picture, offering unprecedented insights into disease biology and new therapeutic approaches.\n\n![uploaded image](/media/?type=post&id=83575&key=user_uploads/89898/ee18ecba-242d-4cb0-bb1b-d9ab6de69ddd)\n\n# **👩‍🔬 Team**\n\nWe’re [**Ian**](https://www.linkedin.com/in/ian-dardani) and [**Jess**](https://www.linkedin.com/in/jessxli/), two former UPenn PhDs on a mission to see every molecule in biological specimens. We’ve spent years advancing and troubleshooting the latest tools in biology, from DNA sequencing to microscopy, but even with these efforts, these tools revealed only a fraction of the underlying biology. We dreamed of a way for scientists to see everything (and fast) so they could reduce their guesswork and focus on the most promising therapeutic approaches.\n\n# ❌ **Problem**\n\nMost diseases remain a mystery because existing methods can see less than 1% of the molecules within a biological specimen. These methods can also take months for scientists to set up and often fail, wasting thousands of dollars per specimen and millions in failed drug programs.\n\n# 🔬 **Our approach**\n\nWe’re combining new chemistries and microscopy to see a full map of the molecules in biological specimens. Imagine if we could see into the \\~500 million existing tumor specimens to decode these cancers.\n\nTo use our technology, scientists simply ship their biological specimens to our laboratory, where we automate their conversion into digital molecular maps – saving them months of tedious data collection and troubleshooting.\n\n![uploaded image](/media/?type=post&id=83575&key=user_uploads/1116949/7deca4d9-cf29-45b4-852d-1fc471672b75)\n\nOur solution:\n\n* Enables scientists in any disease area to 50X their data collection\n* Saves scientists months of time\n* Lowers the cost of biological measurements\n* Expands access to bespoke assays developed by any scientist by integrating with our platform\n* Meets the growing demand for biological data as AI-led analysis supersedes the bottleneck of human-led analysis\n* Turns biology from 99% invisible to an interpretable problem\n\n# **🙏 Asks**\n\nIf you’re excited about this and would like to learn more, email us at:\n\n[**interested@biocartesian.com**](mailto:interested@biocartesian.com)\n\nor reach us at <https://www.biocartesian.com>",
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        "body": "**TL;DR**: [Asterisk](https://asterisk.so/) is an AI “hacker” with the ability to find, exploit, and patch security loopholes across your digital assets. It does all of this with no user intervention and generates a report with zero false positives. ([example](https://demo.asterisk.so/?report_id=776e01e4-22a2-44bd-afc5-229ec115e1b1))\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/0cd6877d-6d46-4428-ae29-236edb91393e)\n\n# **The Problem**\n\n* Almost 95% of potential vulnerabilities raised by static security tools (SAST) are **false positives**, and security engineers spend a lot of time filtering them out.\n* Current security tech **cannot detect business logic bugs** - think of vulnerabilities like unauthorized access, privilege escalation, and bugs that would rack up your AWS/API bills.\n\n# **Solution**\n\n* **Verification:** Asterisk verifies a vulnerability by spinning up a sandbox, running the software being scanned, and attempts to exploit the bug. If Asterisk flags a vulnerability, you can be sure it's real.\n* **Context-aware Threat Modeling:** Asterisk understands your codebase and can thus emulate a malicious hacker by coming up with attack scenarios, like the recent CrowdStrike incident.\n\n# **Our Team**\n\nWe are [Mufeed](https://www.linkedin.com/in/mufeed-vh/), [Asjid](https://www.linkedin.com/in/asjidkalam/) and [Vivek](https://www.linkedin.com/in/123vivekr/). All of us have a background in security research and systems engineering.\n\n![uploaded image](/media/?type=post&id=82844&key=user_uploads/629782/4120e7a5-43bf-4fa1-9352-699f902b32c9)\n\n**Mufeed**: represented 🇮🇳 at WorldSkills CTF, 🥇 medalist - IndiaSkills CTF, 🥉 medalist - BRICS Skills CTF\n\n**Asjid**: 🥈 medalist - IndiaSkills, ex-security research engineer at Emirates National Bank (UAE)\n\n**Vivek**: ex-distributed systems/platforms engineer at Chorus One (one of the biggest POS validators)\n\nOur team has helped secure Google, Mastercard, Okta, Nvidia, Microsoft, etc. We are also the team behind [Devika,](https://github.com/stitionai/devika) the open-source alternative to Devin with over 18K stars on GitHub.\n\n# **Our Ask**\n\nIf you're looking for a **complete security audit** of your digital assets or want to talk about anything security, email us ([hello@asterisk.so](mailto:hello@asterisk.so)) or book a demo ([asterisk.so/demo](http://asterisk.so/demo)).",
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        "tagline": "The AI co-pilot for sales reps at industrial wholesale distributors.",
        "body": "[Distro](https://distro.app/) is the AI sales co-pilot designed for industrial wholesale distributors. We created Distro out of a passion for developing software for the “real economy,” and in particular for the trades. The Distro team is based in, and loves, NYC! 🗽\n\n### 😅 **The Problem**\n\nDistributors, particularly those mid-size and smaller, face a long list of point-of-sale challenges these days.\n\n_🧠 Brain drain_: the most experienced reps are at or near retirement and are taking a great deal of tribal knowledge with them.\n\n_🔧 Complex sales_: quoting entire systems, load calculations, replacing legacy parts and equipment.\n\n_📦 Inventory challenges_: growing SKU counts, supply chain disruptions, decreased inventorying by contractors.\n\n_🎓 Training and retention_: counter reps, in particular, are difficult to hire, train and retain.\n\nThese issues are amplified by the increasing importance of counter and inside sales relative to the rest of the sales organization–there has been a whopping 13 percentage point shift\\* towards counter staff and inside sales influencing purchasing decisions, moving away from territory managers/outside sales.\n\nTo top it all off, there is the ever-present and growing threat of larger players that have the resources to throw money and bodies at the aforementioned problems.\n\n_\\*_ 2023-2024 State of the Channel, HARDI (Heating, Air-conditioning & Refrigeration Distributors International)\n\n### 🔍 **Our Approach**\n\nWhat began as an academic curiosity about how to apply AI to distribution evolved into our team spending countless hours with distributor reps across the country over the course of a year, going deep on their day-to-day challenges, and building a distributor-centric solution from the ground up in partnership with several leading distributors. \n\nThis experience–fully immersing ourselves in a distribution vertical in order to go far beyond a superficial understanding of that vertical’s product universe and sales workflows–has shaped our product philosophy and overall approach. Some of our learnings:\n\n📍 _Meet reps where they are_: don’t try to push reps to adapt to a totally new paradigm. Adapt our workflows to how things really work at the counter.\n\n🚀 _Effortless onboarding_: distributor IT teams don’t need another tech project to distract them. Build solutions that avoid the need for long implementations.\n\n🔒 _Data sanctity_: distributors can spend a lot of time, energy, and money curating their data. Complete data security and privacy are necessary to protect that advantage.\n\n🛠️ _Enhance, don’t replace_: the human element is the key to a distributor’s value-add to its contractor customers. We’re building Iron Man’s suit, not the Terminator.\n\n### 💡 **Our Solution**\n\nOur platform helps counter and inside sales reps work more efficiently by transforming complex customer requests into real-time product information and quotes. With Distro, reps can quote faster, boost conversion rates, and increase customer retention. We support distributors in sectors like HVAC/R, plumbing, electrical, and more.\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/a65bf5e8-d75d-422d-961c-0e3f049162f4)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/7ff364d0-e77c-4dc4-82d2-16db7e4cd9cf)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/e80a0ede-809d-4ac0-b6c3-72b64f1c0e3e)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/170c793c-6a8a-466a-8ea5-bb3623e8a427)\n\n### 🙏 **Asks**\n\n🤝 Connect with us: If you are a founder in the distribution, manufacturing, or contractor spaces, we’d love to share learnings.\n\n📣 Customer intros: distributors, contractors, and OEMs, particularly in HVAC/R, plumbing, and electrical.",
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      {
        "user_id": 1960524,
        "full_name": "Marvin Christopher Bornstein",
        "title": "Founder/CTO",
        "founder_bio": "Before Zeit AI, I spent five years at Palantir, where I owned and deployed the first instances of what became AIP, across chemicals, railway infrastructure, media, utilities, insurance and medical equipment. Grew up around Berlin, spent the last five years in London. Writing software for 18 years, professionally for ten, mostly full stack and data engineering. Deep learning research, more hackathons than I can count, and a weakness for InfoSec CTFs.",
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        "id": 98788,
        "title": "(Junior) Account Executive (f/m/d)",
        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/NnsWGLk-junior-account-executive-f-m-d",
        "location": "Munich",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "€120K - €150K EUR",
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        "id": 98790,
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        "id": 98791,
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        "location": "Munich / London, England, GB / Remote",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 105515,
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        "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/9fQBgkg-founders-associate-growth-marketing",
        "location": "Munich",
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        "id": 83344,
        "title": "📈💡Zeit AI: Insights from your tabular data with just a few words",
        "tagline": "Connect your ERP, CRM, CSVs to query them with natural language. 🗂️✅💬",
        "body": "### **🏆 TLDR**\n\n[Zeit AI](https://www.zeit-ai.com/) is ChatGPT for enterprise tables. You can sync tables from your data bases, ERP systems, CRMs, CSVs and more. Atop of these tables, simple questions in natural language can be used to locate data, combine it, generate analyses, or even charts. All results are repeatable and explainable. They can be exported at the click of a button. [Watch our demo!](https://youtu.be/u3NcYh4zCz4)\n\n# 🧑‍💻🌟 **The Team**\n\nTogether, [Marvin](https://www.linkedin.com/in/mcbornstein/) and [Leopold](https://www.linkedin.com/in/v-waldthausen/) have over 15 years of combined experience in data engineering and analytics. During our four years side-by-side at Palantir, we led high-impact projects, building an AI rule-engine and generating over €50 million in novel project revenue. We saw first-hand how corporates heavily relied on Excel files, leading to manual work to analyse and combine data. A solution like Zeit AI would have been a game-changer in accessing this data at scale.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/4024d05f-c883-4ea7-8053-a6e3eb0fdf7b)\n\n# ⚠️ **Problem**\n\nNon-technical users find it challenging to access and analyse enterprise data. Yet, making data-driven decisions is crucial in today’s fast-paced world.\n\n1. Data is stored in files rather than structured databases.\n2. Databases cannot be accessed by non-technical users.\n3. Data often needs to be exported and manually combined in Excel.\n\n# 💡 **Solution**\n\nZeit AI allows non-technical users to derive ad-hoc insights from tables using natural language. This is possible in just three steps.\n\n1. Sync data files directly from your source systems (We support data bases, ERP, CRM and even CSV uploads).\n2. A structured cloud database is instantly generated and ready to be explored.\n3. Use natural language to seamlessly derive insights from the data.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/e6ce9c09-e77a-419e-8fae-adda888b1612)\n\n# 🛠️ **How Zeit AI is Used Today**\n\n**Procurement** 🛒 Gaining the upper hand during negotiations by having ad-hoc access to all historical procurement data.\n\n**Consulting** 🗂️ Rapidly explore and analyse data rooms and client files using natural language to confidently deliver value to clients.\n\n**Controlling** 📊 Access extracts from accounting systems and seamlessly combine them with files across departments for comprehensive financial control.\n\n# ✅ **Ask**\n\n[Book a slot](https://calendly.com/leopoldwaldthausen/deploy-zeit-ai) with us to explore using Zeit AI. Refer us to procurement managers and senior consultants. ([founders@zeit-ai.com](mailto:founders@zeit-ai.com))\n\nGet on a [30-minute call](https://calendly.com/leopoldwaldthausen/zeit-ai-demo-booking) with us for a live demo or free office hours for anyone struggling to easily access tabular data at scale.",
        "url": "https://www.ycombinator.com/launches/LgG-zeit-ai-insights-from-your-tabular-data-with-just-a-few-words",
        "votes": 87,
        "created_at": "2024-08-23T17:41:00.051Z"
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    "subindustry": "Industrials -> Manufacturing and Robotics",
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        "full_name": "Shivani Mouleeswaran",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @ Ember Robotics. Previously at Tesla Autopilot / Simbe Robotics. I love robots, basketball, and playing the sitar!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shivanicm",
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      {
        "user_id": 1946129,
        "full_name": "Ritika Shrivastava",
        "title": "Founder/CTO",
        "founder_bio": "Ritika is a roboticist who loves helping robots see 🕶! She is a proud UC Berkeley alumna (B.S. EECS '21 & M.S. EECS '22) 🐻, where she researched and taught about computer vision and robotics. Formerly a computer vision engineer at Tesla Autopilot, Ritika is excited to build tools that help roboticists!\n\nIn her free time, she enjoys playing tennis 🎾, building gizmos, and reading 📖!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ritikashrivastava/",
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      {
        "id": 87515,
        "title": "Ember Robotics: Datadog for Robots",
        "tagline": "From prototype to scale, we keep robots running",
        "body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/8cd43030-d313-4ade-af0d-f7fe7197ac0d)\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/b82857af-566f-465a-8212-74965d060e03)\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀",
        "url": "https://www.ycombinator.com/launches/MlX-ember-robotics-datadog-for-robots",
        "votes": 25,
        "created_at": "2025-02-07T22:07:48.510Z"
      },
      {
        "id": 82673,
        "title": "Ember Robotics: Camera diagnostics for robots",
        "tagline": "Reducing vision failures from the source",
        "body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/335dd4a4-e0b6-4c6b-bb64-a4c9c0c60f7f)\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/9c181ef2-e04a-498d-a839-35bfa75fd1dc)\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/cc554985-1fa2-4bd8-9d16-96609bb82645)\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!",
        "url": "https://www.ycombinator.com/launches/LVR-ember-robotics-camera-diagnostics-for-robots",
        "votes": 101,
        "created_at": "2024-08-02T13:50:39.909Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pinnacle is an API for RCS, the new standard for SMS for app-like text messages.",
    "one_liner": "API & SDK for RCS (the next-generation of texting)",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "user_id": 1439340,
        "full_name": "Sean Roades",
        "title": "Founder/CTO",
        "founder_bio": "Sean is co-founder of Pinnacle (S24). After graduating from Harvard College where he studied computer science and econometrics, Sean worked at YouTube where he built machine learning models that handled billions of dollars of ad spend.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sr19943/",
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        "user_id": 854039,
        "full_name": "Ivan Zhang",
        "title": "Founder",
        "founder_bio": "Ivan is the cofounder and CEO of Pinnacle.\n\n\nHe studied Computer Science and Statistics at Harvard College and previously worked as a software engineer at Amazon where he built internal tools. Most recently, he was a software engineer at General Catalyst’s Customer Value Fund where he built an open-source data library with over 25,000 downloads.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aivanzhang/",
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      {
        "id": 84168,
        "title": "Pinnacle📱- RCS (Next-Gen SMS) API for developers",
        "tagline": "Shop in text; programmable interactive, app-like texts",
        "body": "Hey YC! We’re [Sean](https://www.linkedin.com/in/seanroades/) and [Ivan](https://www.linkedin.com/in/aivanzhang/) from [Pinnacle](https://www.trypinnacle.app/). \\\n\\\nToday, we’re launching [our API](https://docs.trypinnacle.app/api-reference/endpoint/introduction) to send and receive RCS (Next-Gen SMS) text messages natively on user’s devices. We’re also launching an [SDK for Python](https://docs.trypinnacle.app/documentation/python/quick-start) (\\`pip install rcs\\`). If you’re currently sending SMS, you should probably be using Pinnacle.\\\n\\\nHere’s a quick example of how we used our API to sell our [Founder Mode hats](https://shop.trypinnacle.app/products/founder-mode-holy-edition-hat?) (certified by Brian himself 😉)\n\n![uploaded image](/media/?type=post&id=84168&key=user_uploads/1439340/3c12589b-527f-4fcc-bc9b-f6ecaf5b555e)\n\n# The problem\n\nShort: SMS sucks. \\\nLong: SMS messages have high friction from sending a message to checking out a customer. Interactivity is very limiting with SMS.\n\n# The solution\n\nShort: RCS rocks.\\\nLong: RCS messages reduce high friction for customers to buy products with a single tap and add interactivity through buttons, card carousels, and actions.\n\n# Why now\nThis hasn't been possible until now. Apple rolled out RCS this week on iOS 18. Carrier adoption has been fully supported on all Android devices just this year. Carrier adoption for iOS completes in a couple months. We segment by device so you can adopt RCS incrementally.\n\n# Our asks\n\n* Share - tell your friends & colleagues about Pinnacle\n* YC Companies - **reach out to us (**[**founders@trypinnacle.app**](mailto:founders@trypinnacle.app)**) to join our private beta**. You'll also get a **free Founder Mode hat**, designed by us, **1000 messages / mo free**, and our **24/7 #FounderMode support**.",
        "url": "https://www.ycombinator.com/launches/LtY-pinnacle-rcs-next-gen-sms-api-for-developers",
        "votes": 62,
        "created_at": "2024-09-19T21:58:11.562Z"
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    "name": "Soff",
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    "long_description": "Distributors & Manufacturers use Soff to grow revenue through Soff's sales agents that process quotes, orders and handles all communication with customers, co-workers & suppliers.",
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    "subindustry": "B2B -> Supply Chain and Logistics",
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        "full_name": "Berni Hausleitner",
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        "id": 90126,
        "title": "Soff: The AI-powered Supply Chain Hub",
        "tagline": "Automating procurement to save manufacturers time and money.",
        "body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/f4436cc5-bc8e-4b95-8d0a-1ccdfa93e46f)\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/25354546-6587-414f-a341-6414a4567cc1)\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n<https://youtu.be/I50ypYIvCbA>",
        "url": "https://www.ycombinator.com/launches/NRe-soff-the-ai-powered-supply-chain-hub",
        "votes": 13,
        "created_at": "2025-05-06T13:34:15.864Z"
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      {
        "id": 83460,
        "title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies",
        "tagline": "Unify supply chain data and automate core workflows.",
        "body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/cacbe907-12f5-429f-9391-9ba957afa746)\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/a277625d-201c-471a-a6d4-5a9fa4c0a104)\n\n",
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        "votes": 84,
        "created_at": "2024-08-27T14:42:52.309Z"
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        "url": "https://www.ycombinator.com/launches/T0S-praxos-team-messaging-with-built-in-memory",
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    "launches": [
      {
        "id": 82635,
        "title": "The Forecasting Company: Foundation models for time series",
        "tagline": "Easy and accurate forecasts for navigating an uncertain world",
        "body": "**tl;dr:** The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. [Talk to us](https://mailto:founders@theforecastingcompany.com) if you have forecasting and planning use-cases!\n\n\\\nHi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!\n\n### Problem 📉\n\n* Existing time-series forecasting solutions produce **unreliable predictions** with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.\n* Developing and maintaining useful forecasting and planning models requires **large and costly teams** of data scientists and domain experts.\n* Data science teams are backlogged, leaving operators **waiting for months** before a use-case to be put into production.\n\n### Solution 📈\n\n* **An easy to use, flexible and accurate forecasting system. No training required!**\n* A **massive training dataset of time-stamped data** from many industries and domains (energy, transportation, etc.).\n* A forecasting model that can leverage **user-provided input variables** or our own **curated data streams**.\n\n### What we’re forecasting these days\n\n# Bacteria levels in the Seine 🦠 🏊‍♂️\n\n![uploaded image](/media/?type=post&id=82635&key=user_uploads/1325636/a0b74e9b-3289-4b05-aa4d-78ea52ef10d0)\n\nOur forecasts show that swimmers lucked out today 🍀!\\\n(Data provided courtesy of the [Fluidion Open Data Initiative)](https://fluidion.com/open-data-initiative/2024-seine-water-quality)\n\n### Ask\n\n* If you have forecasting problems in-house, or know of someone who does, **please reach out - we’d love to help!**\n* **Try our sandbox model** on [www.theforecastingcompany.com](http://www.theforecastingcompany.com) and let us know what you think\\\n  [founders@theforecastingcompany.com](mailto:founders@theforecastingcompany.com)",
        "url": "https://www.ycombinator.com/launches/LUp-the-forecasting-company-foundation-models-for-time-series",
        "votes": 68,
        "created_at": "2024-08-01T14:17:31.991Z"
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    "website": "https://www.presti.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Furniture companies spend millions and months each year on photoshoots or CGI to create product images as these visuals are crucial for driving sales.\r\n\r\nPresti offers a faster and cheaper solution powered by generative AI. Unlike other generative AI tools, our core model is optimized for furniture products and includes multiple features tailored to the unique needs of furniture industry.\r\n \r\nWe have 100 paying B2B users with a 10% growth week over week.\r\nWe raised a $3.5M seed round",
    "one_liner": "Helping furniture companies create product visuals with AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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    "regions": [
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    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/presti-ai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1130049,
        "full_name": "Nabil Toumi",
        "title": "Founder/CEO",
        "founder_bio": "Was the automation lead at Uber, where I created a team that saved €20M in a year, earning me a top 1% employee award.\nAlumnus of Centrale Paris and ESSEC",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nabil-toumi-b58b0084",
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      {
        "user_id": 1132883,
        "full_name": "Saad Bencherif",
        "title": "Founder/CPO",
        "founder_bio": "Cofounder & CPO of Presti AI: stunning product visuals, for furniture companies, with gen AI 🛋️. Prior life: ex-Senior Data Scientist @ BCG X.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bencherifs",
        "x_url": "https://twitter.com/SaadBencherif10",
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        "user_id": 1132131,
        "full_name": "Hamza Bennis",
        "title": "Founder/COO",
        "founder_bio": "Generative AI Founder @Presti AI | Furniture imagery with AI 🚀 |\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hamza-bennis-143635a6",
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      {
        "user_id": 927499,
        "full_name": "Abdellah Lamrani Alaoui",
        "title": "Founder/CTO",
        "founder_bio": "I was the Head of Data at Scibids, an AdTech scale-up sold to DoubleVerify for $125M, where I oversaw the AI team in developing cutting-edge real-time bidding solutions.\nCentrale Paris x MVA Alumni",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6",
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      {
        "id": 88153,
        "title": "Founder Associate Intern @Presti ",
        "url": "https://www.ycombinator.com/companies/presti-ai/jobs/mL0pxlP-founder-associate-intern-presti",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$1.5K / monthly",
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    "launches": [
      {
        "id": 83443,
        "title": "Presti - Product photos for the furniture industry with GenAI",
        "tagline": "We offer a faster and cheaper solution to create product photos for furniture companies.",
        "body": "### **TL;DR**\n\n[**Presti**](https://www.presti.ai/) offers a faster and cheaper solution to create Product photos for furniture companies. **We currently serve 100 paying B2B users with a 10% growth week over week.** Try it for free [**here.**](https://app.presti.ai/)\n\n**—**\n\n### **Team**\n\nHi everyone, we are [Abdellah](https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6), [Hamza](https://linkedin.com/in/hamza-bennis-143635a6), [Nabil](https://linkedin.com/in/nabil-toumi-b58b0084), and [Saad](https://linkedin.com/in/bencherifs) (from left to right in the picture). We’ve been close friends since our time at Ecole Centrale Paris 10 years ago and have developed strong AI expertise at top tech companies like Uber and BCG Gamma.\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/acecfeb9-0687-4da3-9d37-43facfab4f45)\n\n### **Problem**\n\nFurniture companies spend millions and months each year on photoshoots or CGI to create product images.\n\nThey also can’t use any genAI tools because:\n\n1\\. General models fail to produce quality results for furniture products\n\n2\\. The industry requires specific, unique features that standard tools don't offer.\n\n### **Solution**\n\n_How does it work?_ \\\nWith Presti, users can upload a simple product image and stage it in any environment within seconds. Our platform also enables users to manage all aspects of product visuals. For example, users can change the color and texture of their products or also have the ability to generate consistent visuals for an entire collection.\n\n_How did we address the problem?_ \\\nWe've developed a specialized diffusion model optimized for furniture, delivering studio-quality results. Additionally, we’ve launched over 10 AI-driven features specific to the industry\n\n_The tool_\\\nTry out Presti for free [**here.**](https://app.presti.ai/)\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/5776b364-c337-459f-99cb-d0d32be93318)\n\n### **Ask**\n\nIf you're **a furniture company** or **connected with a furniture brand**, feel free to contact us at [founders@presti.ai](mailto:founders@presti.ai)",
        "url": "https://www.ycombinator.com/launches/Lhr-presti-product-photos-for-the-furniture-industry-with-genai",
        "votes": 22,
        "created_at": "2024-08-26T23:24:03.980Z"
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  {
    "id": 29782,
    "name": "Laminar",
    "slug": "laminar",
    "former_names": [
      "Laminar AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f68c82dc13524e235198c783318ae1b1aa5d7432.png",
    "website": "https://laminar.sh",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Laminar is open-source observability for AI agents. Trace complex workflows, replay and debug agent runs, and detect anomalies across trajectories at scale.",
    "one_liner": "Understand why your AI agent breaks. Iterate fast to fix it.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1721337823,
    "tags": [
      "AIOps",
      "Developer Tools",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/laminar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/laminar.json",
    "year_founded": 2024,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/lmnr-ai/",
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    "github_url": "https://github.com/lmnr-ai/lmnr",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1771812,
        "full_name": "Robert Kim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO @ Laminar (lmnr.ai). Previously, I interned at Palantir where I built semantic search package which now powers many internal AI teams and worked on resource allocation engine at core infrastructure team. I also interned at Bloomberg where I scaled market tick processing pipeline by 10x to 10M ticks/s.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/skull8888888/",
        "x_url": "https://twitter.com/skull8888888888",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1164aa2d27587dbe70dd830f8ae356064e709d5.jpg"
      },
      {
        "user_id": 1980084,
        "full_name": "Din Mailibay",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Laminar (laminar.sh). Previously, I have worked at Amazon for 2 years building and scaling critical payments infrastructure. Before that, I've spent a year creating ML infrastructure for a drug discovery biotech startup in Korea.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dinmukhamedm",
        "x_url": "https://twitter.com/din_mlb",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c56af6f86306ce69d00244d2229612165fb00abc.jpg"
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    "launches": [
      {
        "id": 98606,
        "title": "Laminar – Understand why your agent failed. Iterate fast to fix it.",
        "tagline": "Open-source observability platform for long-running agents — trace in one line, replay-debug from any step, detect patterns at scale.",
        "body": "Hey everyone, Robert from Laminar (YC S24) here. The entire observability space was built for request-response LLM apps. Nobody was building for Agents that run for 40 minutes and fail in ways you can't reproduce. So we did.\n\n## Tracing that actually helps you understand what happened\n\nMost observability platforms just collect data and wait until you go look at it. And when you do, you get a tree of spans. You click into one, read it, go back, click the next one, try to hold the context in your head. For a simple LLM call, that's fine. For an agent that ran for 30 minutes and made 200 decisions, it's practically useless.\n\nWe built Laminar's tracing to give you as much information as quickly as possible.\n\nOur trace timeline and **reader mode** lay out the agent's reasoning and actions as a clean, readable feed.\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/73741d82-1719-4062-8cc2-9bd8de880010)\n\nYou open a trace and immediately see what the agent did, what it was thinking, and where things went wrong (we also capture and show application level exceptions). For browser agents, we record **full browser sessions synced with traces**. You literally see what the agent saw at every step → <https://laminar.sh/shared/traces/16fcd540-9583-8bcb-f8e0-8b15ec92c58d>.\n\nIf a trace is too complex to parse visually, you can **chat with it**: ask questions about what happened in natural language, instead of manually digging through hundreds of steps. We take into account the whole context of the trace, not just a single span.\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/87cc29b4-f5c3-4924-ab96-5c52af1fae76)\n\nWe can confidently say that we have the best tracing DX on the market. It’s one line of code to integrate. Laminar SDK auto-patches vast majority of AI frameworks and SDKs, including **Claude Agent SDK, AI SDK, LiteLLM, Browser Use, Stagehand, OpenHands SDK**, and much [more](https://docs.laminar.sh/tracing/integrations/openai). We are the only platform that traces **Claude Agent SDK sub-agents**. When Claude delegates work to sub-agents, you get full visibility into that entire chain, not just the top-level call. Here’s an example of a trace <https://laminar.sh/shared/traces/3f9219d0-8691-daf7-836a-8874ca4c1d9f>.\n\n## The debugger\n\nThis is the feature we wished existed when we were building agents ourselves. When your agent fails 15 minutes into a run, the normal workflow is: restart from scratch, wait for it to reach the same state, hope it reproduces the failure. That's insane.\n\nLaminar starts a local dev server that connects to our platform. You can run your agent directly from our UI, and when a run fails, you go to the exact step where it went wrong. You tweak your prompt or tool definitions right in the UI. And you rerun from that step — with full context preserved.\n\nHere's how it works under the hood: our tracing SDK sits right before the LLM call boundary. When you rerun from a step, we mock all the LLM calls that happened before that point, replaying their original responses. This means the agent walks through its prior steps instantly without actually calling any LLMs and spending any tokens — and crucially, it properly restores external state along the way. If your agent was controlling a browser, the browser gets back to the exact page and DOM state. If it was working in a sandbox, the sandbox is restored. By the time execution reaches your breakpoint, everything — conversation history, tool state, external environment — is exactly as it was. You tweak your prompt, hit rerun, and the agent picks up from there with the real world intact.\n\nHere’s a demo of Laminar debugger.\n\n<https://www.youtube.com/watch?v=iSw8MM6tRvY>\n\n## Signals\n\n![uploaded image](/media/?type=post&id=98606&key=user_uploads/1771812/19af455c-7dfa-46e7-aa40-fbac2b4696a6)\n\nIn development, you care about individual runs. In production, you have thousands of runs and the question changes — it's no longer \"why did this run fail,\" it's \"what's going wrong across all my runs and how often.\"\n\nThat's what Signals solve. You write a short natural language description of what you want to detect — something like \"agent gets stuck in a retry loop\" or \"user gets frustrated and rephrases their request.\" Laminar runs this against every trace, extracts matching events, and then clusters them into patterns. So instead of manually sampling traces hoping to spot trends, you get a structured view of what's actually happening. We use this ourselves to monitor our own agents, and it catches things we'd never find by skimming through traces.\n\n## SQL editor, evals, and more\n\nAll of your data lives is accessible with built-in SQL editor (both in UI and API). You can run arbitrary queries against your traces, spans, and events — build custom dashboards, do ad-hoc analysis, or bulk-create datasets from production traces. Those datasets plug directly into our evals pipeline, so you can run evaluations on real production data instead of synthetic test cases.\n\n## Laminar\n\nLeading agent companies like Browser Use, OpenHands, Rye.com, Alai and many more use Laminar in production. Laminar is fully open source and extremely fast (written in Rust). Self-host it anywhere or use our managed platform (<https://laminar.sh>).\n\n**Our ask:**\n\n* If you're shipping agents and debugging is painful, we'd love to help — [founders@lmnr.ai](mailto:founders@lmnr.ai)\n* Intros to teams running long running agents would be huge\n* Star us on GitHub: <https://github.com/lmnr-ai/lmnr>\n\n🔗 <https://laminar.sh>",
        "url": "https://www.ycombinator.com/launches/PeQ-laminar-understand-why-your-agent-failed-iterate-fast-to-fix-it",
        "votes": 6,
        "created_at": "2026-03-09T00:35:53.684Z"
      },
      {
        "id": 89930,
        "title": "Laminar: The Missing Developer Tool for Browser Agents",
        "tagline": "Laminar captures browser session recordings and syncs them with agent traces.",
        "body": "Robert and Din from Laminar here. We created a new type of observability, which enabled us to build the SOTA open-source browser agent.\n\n# The Problem\n\nBrowser agents are powerful but notoriously difficult to develop and debug. When your agent fails, traditional traces just show a wall of text logs without context. You can't see what the agent was looking at when it made decisions, why it chose certain actions, or what exactly went wrong. It's like trying to debug a self-driving car without any camera footage – practically impossible.\n\nThis lack of proper observability tools has been the biggest barrier to building reliable browser agents.\n\n# The Solution\n\n![uploaded image](/media/?type=post&id=89930&key=user_uploads/1771812/0da20a73-6dc1-4d3d-8561-dc38dd8cb624)\n\nLaminar created the missing piece in browser agent development: complete visual context for every agent action and decision. Our platform records high-quality browser sessions and perfectly synchronizes them with agent traces. Now developers can:\n\n1. **See what the agent sees** - Watch the complete visual journey of your agent as it navigates websites\n2. **Pinpoint exact failure points** - Identify precisely where and why agents make mistakes\n3. **Debug with context** - Understand agent decisions with full visual and trace context\n\n# Results\n\nUsing our own tools, we built Index - open-source browser agent that achieves 92% on WebVoyager benchmark, setting a new state of the art. Index can handle everything from research tasks to complex automations in apps like Google Sheets. In other words, we created a reliable **API layer to any website** that you can simply prompt with natural language.\n\n# Integrations\n\nLaminar seamlessly integrates with AI browser frameworks like **Stagehand** and **Browser Use** - integration takes just 2 lines of code.\n\n# Ask\n\n* **Build better agents:** Try Laminar today for your browser and AI agent development => <https://lmnr.ai>\n* **Explore our open source agent:** Check out Index at [github.com/lmnr-ai/index](https://github.com/lmnr-ai/index)\n* **Dive into docs:** Comprehensive guides at <https://docs.lmnr.ai>\n\nWe're looking for early adopters and feedback! Reach out to us at [founders@lmnr.ai](mailto:founders@laminar.ai) and join our [discord](https://discord.com/invite/nNFUUDAKub).",
        "url": "https://www.ycombinator.com/launches/NOU-laminar-the-missing-developer-tool-for-browser-agents",
        "votes": 11,
        "created_at": "2025-04-28T22:25:16.716Z"
      },
      {
        "id": 83572,
        "title": "Laminar - Open-source observability and analytics for complex LLM apps",
        "tagline": "Observability and analytics which helps you track LLM apps in production.",
        "body": "**tldr: Laminar is an open-source developer platform that provides full instrumentation of LLM applications and combines trace data with event-based analytics.**\n\n**—**\n\nHey everyone, we’re Robert, Din, and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg — now, we’re building an open-source platform to help developers understand how their LLM apps perform in production.\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/e4140bd4-1ae9-453d-8457-2564c3820cbc)\n\n# Why do LLM apps need observability from day 0?\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/81e46417-9b77-4368-ab0f-c04b8b84556e)\n\nLLMs are stochastic, and designing robust software around them (e.g., RAG, Agents) is an iterative process. A great observability platform not only facilitates this process, but actually makes it more productive. Hence, many AI developers adopt observability tools early on.\n\nLaminar goes beyond single LLM call tracing and provides tools for entire app instrumentation and powerful UI for full trace visualization, trace search, and session grouping.\n\n## What is different about analytics for LLM apps?\n\n![uploaded image](/media/?type=post&id=83572&key=user_uploads/1771812/29d881c9-de4c-416a-be18-d17638d67135)\n\nLLM apps produce traces, which are essentially very rich text. Traditional event-based analytics tools are not built for extracting metrics from this kind of data.\n\nCurrently, AI devs spend a good chunk of their time manually inspecting traces to understand usage patterns of their LLM apps. As they scale, manual inspection is not feasible anymore.\n\nLaminar tackles this problem by using other LLMs to process rich text outputs in the background. With Laminar, developers can define custom events, such as “USER SENTIMENT,” to collect user sentiments and track this metric at scale as they deploy their LLM apps into production.\n\nEach event is linked to the trace that produced it, and developers can understand when and why certain semantic events have happened. It gives developers deeper understanding of the performance and usage of their LLM apps.\n\n## Our ask\n\n* Star our repo → <https://github.com/lmnr-ai/lmnr>\n* Start tracing and tracking events with a managed version of our open-source platform here → <https://www.lmnr.ai>\n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!",
        "url": "https://www.ycombinator.com/launches/Ljw-laminar-open-source-observability-and-analytics-for-complex-llm-apps",
        "votes": 17,
        "created_at": "2024-08-29T15:16:33.971Z"
      },
      {
        "id": 82294,
        "title": "Laminar - Developer platform to ship reliable LLM agents 10x faster",
        "tagline": "Combining orchestration, evals, data, and observability into a single platform.",
        "body": "# tl;dr: Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster. Get started for free → [lmnr.ai.](https://www.lmnr.ai)\n\nHey everyone, we’re Robert, Din and Temirlan. Previously, we built infrastructure at Palantir, Amazon, and Bloomberg— now our goal is to help AI developers ship reliable LLM applications faster.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/1a4a4a99-7e50-4bcd-86ff-8d2a5474a091)\n\n# ❌ The Problem\n\nLLMs are stochastic, and designing robust software around them (e.g. LLM agents) demands rapid iteration on core logic and prompts, constant monitoring and a structured way of testing new changes. Existing solutions are vertical and the burden of maintaining “glue” between them is still on the developers, which inevitably slows them down.\n\n# ✅ Our Solution\n\nLaminar is a dev platform that combines orchestration, evaluations, data, and observability to help AI devs to ship reliable LLM applications 10x faster. We provide:\n\n* a GUI to build LLM applications as dynamic graphs with seamless local code interfacing.\n* an [open-source package](https://github.com/lmnr-ai/lmnr-python) to generate abstraction-free code from these graphs directly into developers' codebases.\n* a state-of-the art evaluation platform that lets devs build fast and custom evaluators without managing evaluation infrastructure themselves.\n* a data infrastructure with built-in support for vector search over datasets and files. Data can be easily ingested into LLMs and LLMs can write to the datasets, creating a self-improving data flywheel.\n* a low latency logging and observability infrastructure.\n\n# Orchestration\n\nAs devs, we love to code everything ourselves, but we’ve realized the fastest way of iterating on LLM application logic is via graph UI. So, we’ve built the ultimate LLM “IDE”, where you build your LLM applications as dynamic graphs. You can build cyclical flows, route to different tools, and collaborate with your teammates in real-time!\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/be5a68c2-4440-4fd3-92e7-71c7436e13c8)\n\nGraphs can seamlessly interface with local code. “Function node” can call local functions on your server, right from our UI or our SDK. It’s a huge game changer for testing of LLM agents which call different tools and then circle the response back to LLMs. In the gif below, local function “save_result_to_db“, which runs on a server on my computer, is directly called from our UI.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/17ade57e-5551-4db3-a036-0bed9956a79e)\n\nUsing our [open-source package](https://github.com/lmnr-ai/lmnr-python), you can generate zero-abstraction code from graph definition, which exactly replicates the graph functionality. Code is generated as pure functions right inside your repo, and you have total freedom to modify it however you want. It is extremely valuable for the devs who are tired of frameworks with myriads of layers of abstraction.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/6955178c-ef6a-4b26-bac9-39fdebe6f1ac)\n\nYou can also deploy LLM pipelines as API endpoints on our infrastructure and easily call them via our Python/TS sdks.\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/d071c79f-9b3c-4376-9de1-c9cccd401e6b)\n\n# Evaluations\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/799c93b7-c273-4b65-ac0c-50a3e360952c)\n\nLaminar pipeline builder can be used to build custom and flexible evaluation pipelines that seamlessly interface with local code. You can start from something simple like exact matching and then build a custom LLM-as-a-judge pipeline tailored to your specific use case. You can upload large datasets and run evaluations on thousands of data points at the same time, and get all statistics about the run in real time. All of this without the pain of managing evaluation infrastructure yourself.\n\n# Observability\n\n![uploaded image](/media/?type=post&id=82294&key=user_uploads/1771812/f6d0e26d-60d7-4371-a558-a36006d8cd43)\n\nWhether you decide to host LLM pipelines on our platform or generate code from graphs, all pipeline runs are logged and you can easily inspect the traces in the convenient UI.\n\n# Conclusion\n\nLaminar aims to deliver the best developer experience for AI developers. We remove unnecessary friction and burden of managing infrastructure. We let you focus on building the best AI products and ship them 10x faster!\n\n# Our ask\n\n* Start building reliable LLM agents right now for free → <https://www.lmnr.ai>\n* Check out [open-source code gen package](https://github.com/lmnr-ai/lmnr-python)\n* Connect us with anyone who builds software around LLMs and would greatly benefit from a tool like this!\n* [Join our Discord](https://discord.com/invite/nNFUUDAKub)",
        "url": "https://www.ycombinator.com/launches/LPK-laminar-developer-platform-to-ship-reliable-llm-agents-10x-faster",
        "votes": 97,
        "created_at": "2024-07-20T04:14:28.826Z"
      }
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    "name": "RiskAngle",
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    "website": "https://www.riskangle.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "RiskAngle delivers fast, accurate summaries of unstructured medical records for insurance companies and law firms. Our AI-powered platform enables users to streamline underwriting, expedite claims processing, and prepare cases with confidence.",
    "one_liner": "AI medical summaries in minutes",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721862703,
    "tags": [
      "SaaS",
      "B2B",
      "Legal",
      "Insurance",
      "AI"
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Inactive",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/riskangle",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/riskangle.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/riskangle",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1360788,
        "full_name": "Bill Chen",
        "title": "Founder",
        "founder_bio": "Born in Shanghai and raised primarily in Vancouver, Canada, Bill earned his bachelor's degree in Computer Science from Columbia University. ",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/billchen99",
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      },
      {
        "user_id": 1957719,
        "full_name": "William Hu",
        "title": "Founder",
        "founder_bio": "Startups @ Anthropic! Previously founded RiskAngle (acquired in 2025).",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/william-hu/",
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    "id": 29794,
    "name": "Baseline AI",
    "slug": "baseline-ai",
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    "website": "https://www.baselinetrials.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. We use AI to automate the process of creating everything from the protocol, saving not only spend on headcount but also months of time which can translate to up to $27M in direct costs + lost revenue saved for a single phase 3 trial. ",
    "one_liner": "AI document creation and data management for clinical trials",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1724199477,
    "tags": [
      "SaaS",
      "Health Tech",
      "B2B",
      "Biotech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Healthcare IT"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/baseline-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/baseline-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/baseline-trials/",
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    "founders": [
      {
        "user_id": 231856,
        "full_name": "Zoe Sheill",
        "title": "Founder",
        "founder_bio": "Co-founder of Baseline AI. Previously MIT, SpaceX. Ask me about the Banana Lounge at MIT",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/zoesheill",
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      },
      {
        "user_id": 718972,
        "full_name": "Nabil Baugher",
        "title": "Founder",
        "founder_bio": "Baseline AI Co-founder. Previously ML at YouTube and software at Slack/Audible. CS + Neuro at MIT.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/nabil-baugher-93822a18a",
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      {
        "id": 83484,
        "title": "Baseline AI: AI Document Creation + Data Management for Clinical Trials",
        "tagline": "Getting treatments out of the lab and into the hands of patients that need them",
        "body": "### **Tl;dr**\n\n[Baseline’s](https://www.baselinetrials.com/) AI platform helps pharmaceutical companies eliminate months of manual work during clinical trials by automating the study build, data transformation, and analysis creation. This can save a single trial up to $18M in direct costs and lost revenue.\n\n### **⚠️ Problem**\n\nThe main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. This makes the process both expensive and time-consuming, with **a single day lost** in a clinical trial **costing** [**50k-300k** (depending on phase)](https://baselineai.notion.site/Cost-of-1-Day-By-Stage-af2f3e4008444ed8a819d288d45fd31d?pvs=74). \n\n### **🚀 Solution**\n\nWe offer a three-part solution:\n\n* **Baseline Build**\n  * Processes the study protocol to create the study data collection forms, clinical database design, and error checks\n* **Baseline Harmonize**\n  * Transforms data from external sources into the desired format based on the database model\n* **Baseline Analyze**\n  * Uses the study protocol and database model to create the analysis tables and figures\n\nImplementing our AI workflows can **save a single phase 3 clinical trial up to $18M** in direct costs and lost revenue.\n\n![uploaded image](/media/?type=post&id=83484&key=user_uploads/718972/f7dbfa5f-f8d8-436f-9ee5-29139b3f9de7)\n\n**📘 Backstory**\n\nWe’re [Nabil](https://linkedin.com/in/nabil-baugher-93822a18a) and [Zoe](https://linkedin.com/in/zoesheill) — two recent MIT grads who want to help bring new treatments to patients in need faster. We noticed that despite drug discovery being faster than ever, new treatments for things our friends and family needed seemed to rarely make it to market. Zoe also participated in a clinical trial herself and wanted to see the system improve. \n\n### **🙏 Ask**\n\nIf you or anyone you know are in pharma/biotech or running clinical trials, we’d love to chat! Please reach out to us at [founders@baselinetrials.com](mailto:founders@baselinetrials.com).",
        "url": "https://www.ycombinator.com/launches/LiW-baseline-ai-ai-document-creation-data-management-for-clinical-trials",
        "votes": 98,
        "created_at": "2024-08-27T21:22:07.159Z"
      }
    ]
  },
  {
    "id": 29796,
    "name": "Finosu",
    "slug": "finosu",
    "former_names": [
      "Cedar Star"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3dd16f59d0364681bf3111ec38321f6ece68ed50.png",
    "website": "https://www.finosu.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Hi - Mark and Gab here!\r\n\r\nWe met while working at Alt, a marketplace for collectibles, where we built a $200 million specialty finance business line. At Alt, we faced the complex challenges that come with servicing consumer loans. We spent countless hours and resources developing internal tools to manage loan payments, communicate with borrowers, and keep track of loan performance—all while ensuring a positive experience for our customers.\r\n\r\nHowever, after dealing with the headaches of manual data entry, fragmented systems, delayed payments, lack of personalized borrower engagement, and the stress of maintaining accurate records, we knew there had to be a better way to service consumer loans.\r\n\r\nSo, we started Finosu to build the servicer we wish we had—an AI-powered consumer loan servicer designed to streamline and enhance every aspect of the loan servicing process. \r\n\r\nOur mission is to transform loan servicing into a seamless, efficient, and customer-centric experience.\r\n\r\nThe operational cost of servicing loans reaches into the tens of billions a year and that is money out of the pocket of lenders, borrowers, investors, and ultimately the consumers as a cost of doing business – we are changing that.",
    "one_liner": "AI Native Consumer Loan Servicer",
    "team_size": 7,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1723762134,
    "tags": [
      "Fintech",
      "B2B",
      "Lending",
      "Consumer Finance"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "Fintech",
      "Credit and Lending"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/finosu",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/finosu.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/finosu/",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1996346,
        "full_name": "Mark Ricciardi",
        "title": "Founder/CEO",
        "founder_bio": "Started in finance as a special situations private credit investor and then moved to tech to build productized credit instruments. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mark-ricciardi",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5ca99bd24073b14bb11402d745e4abffa1fde18.jpg"
      },
      {
        "user_id": 1997164,
        "full_name": "Gabriel Vincent Kho",
        "title": "Founder/CTO",
        "founder_bio": "Stanford grad. Ex-Flexport. AI consultant (not currently because I'm working on my own start-up). I'm currently working on fixing the problems I faced in the credit space while working at Alt.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/%F0%9F%94%B0-gabriel-kho-924a6166/",
        "x_url": "https://twitter.com/gakho",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/daa745f43901a4e738ce7bf3b80728b0ab7cdbfd.jpg"
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    ],
    "jobs": [
      {
        "id": 90198,
        "title": "Infra Engineer",
        "url": "https://www.ycombinator.com/companies/finosu/jobs/TKx1Llu-infra-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$125K - $200K",
        "equity_range": "0.25% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "PostgreSQL",
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          "Redis"
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        "id": 100351,
        "title": "Data Engineer",
        "url": "https://www.ycombinator.com/companies/finosu/jobs/bzA1L0R-data-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$150K - $200K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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        ]
      },
      {
        "id": 100352,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/finosu/jobs/b3vdf0y-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$150K - $200K",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 83104,
        "title": "Finosu: Automated compliance for consumer lending",
        "tagline": "We automate mandatory compliance to save lenders, investors, and auditors time and money.",
        "body": "**TL;DR: The consumer lending compliance process sucked, and so we started Finosu to build the tools we wish existed.**\n\nHi all - we’re [Gabriel](https://www.linkedin.com/in/%F0%9F%94%B0-gabriel-kho-924a6166/) and [Mark](https://www.linkedin.com/in/mark-ricciardi/). Together we built a $200m lending business within a fintech marketplace, and in doing so, spent hundreds of hours and hundreds of thousands of dollars on compliance work. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXewpShqbgrlpyOsuXmfPgyGdsFEMU-TvpnSN6zuBIVArSX2HyhiMSKCq-ksNr3LxRgI0ZfbArgbK9z7hZatDiRF3kyBB52ql40rnruBlrvUBZaTmEIqMJX4K8yK7dHBfQ_LHdvOr3ZVLRXjhNSLxXNMvR0B?key=yRFyYsAwfokUFio43hbr7g)\n\n**Problem:**\n\n* Regulatory compliance is mandatory to access the $5 trillion US consumer credit market\n* Compliance today is expensive, relies heavily on manual processes to navigate the complicated state and federal laws, and operates reactively to audit requests\n\n**Solution:**\n\nOur software relieves the pain of hunting through regulatory codes, the confusion of form filling, the surprise of regulatory deadlines, the monotony of PDF data extraction, the anxiety of brittle Excel spreadsheets, and the frustration of buried email threads with advisors… to name a few…\n\nWe ingest lenders’ existing information (PDFs, excels, loan management systems, etc.) and:\n\n* automate filing and maintenance of state lending licenses\n* automate preparation for loan book auditing \n* provide a loan management system that is natively and proactively compliant\n\n  ![uploaded image](/media/?type=post&id=83104&key=user_uploads/1996346/d368a12c-36cf-4ae3-8cce-f9e622731adc)\n\n\n**Why now:**\n\n* The cost of compliance has skyrocketed as federal agencies such as the Federal Reserve, FDIC, and OCC have [increased scrutiny](https://www.spglobal.com/marketintelligence/en/news-insights/latest-news-headlines/small-group-of-banking-as-a-service-banks-logs-big-number-of-enforcement-actions-80067110) on sponsor bank partnerships\n\n**The ask:**\n\n* If you work in or around all forms of lending at a fintech, investor, advisor, broker, or bank, we’d love to chat! \n* Share this post! If there is anyone in your network who deals with consumer lending, we would love to learn more about their problems and see if we can be helpful!\n  * Copy & paste blurb: A team of ex-fintech operators created a product to automate regulatory licensing and loan book auditing for consumer lending. Contact [mark@finosu.com](mailto:mark@finosu.com) to see a demo from the founders.",
        "url": "https://www.ycombinator.com/launches/LcO-finosu-automated-compliance-for-consumer-lending",
        "votes": 334,
        "created_at": "2024-08-15T23:13:24.511Z"
      }
    ]
  },
  {
    "id": 29797,
    "name": "Haystack",
    "slug": "haystackeditor",
    "former_names": [
      "Haystack Software"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/988853e97230d398301aa8250ff990964f2f4620.png",
    "website": "https://haystack.sh/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Haystack automatically learns real customer journeys from production traffic, figures out which ones a code change could affect, and replays them in isolated copies of production to catch regressions before they ship.\r\n\r\nWhen something breaks, Haystack shows exactly what changed across the UI, network calls, and events, then gives the failure back to your coding agent to fix and rerun. Teams get high-fidelity QA without having to write or maintain test cases.",
    "one_liner": "Replay real customer journeys against every change before you ship",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1722315932,
    "tags": [
      "Developer Tools",
      "B2B",
      "Productivity",
      "AI"
    ],
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        "full_name": "Caleb Harris",
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        "full_name": "Herbert Turner",
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        "title": "📃 &AI - Automate patent due diligence in an instant",
        "tagline": "Comprehensively find prior art, produce robust claim language, invalidate weak patents, and more.",
        "body": "Hey everyone, we’re [Caleb](https://www.linkedin.com/in/caleb-m-harris/) and [Herbie](https://www.linkedin.com/in/herbert-turner-1b511b238/)!\n\nWe met almost six years ago while studying computer science at MIT, and have spent the last few months building [&AI](https://www.tryandai.com/) after discovering how much attorney time is spent on tedious and repetitive aspects of patent due diligence.\n\n### **tl;dr**\n\n&AI is a platform that streamlines patent due diligence. By using AI to understand the inventive aspects of patents and automate the creation of work products, we enable attorneys to instantly and comprehensively find prior art, produce robust claim language, invalidate weak patents, and more.\n\n### ❌ The Problem\n\nImagine a law firm is tasked with determining the strength of a patent or set of patent claims. This is an everyday problem for patent attorneys and could be for anything from a patent application to an IP litigation case. \n\nTo start, the attorneys need to conduct a prior art search. Typically, either:\n\n1. The attorneys meet with an outsourced search provider and give them their claims and features of interest. After a week or two, the provider returns with 5-10 reasonable documents, charging up to $10k.\n2. The attorneys manually use boolean keyword searches through databases like Google Patents and decades-old legal research platforms. Over the course of 10-20 billed hours, they have found 5-10 reasonable documents.\n\nIn either case, they have already contributed a massive amount of resources to this project without much validation that they are going in the right direction.\n\nWith their prior art in hand, the attorneys must evaluate the claims with respect to the art. This involves drafting work products like claim charts, which require several read-throughs of each document to identify and map the relevant language over the course of 20-40 billed hours. By now, the attorneys should have a good idea of the strength of the claims, whether they need to be revised, and whether they may be invalid.\n\n**What if they haven’t found the invalidating art?** They repeat the process. Over and over again, for every patent, for every case. Due diligence can continue almost indefinitely, and it’s only limited by attorney time and client budgets.\n\n### ✅ The Solution\n\nNow, imagine the law firm is using &AI. **Upon receiving the patent or claims, they find the invalidating prior art and export comprehensive claim charts in seconds!** &AI enables both attorneys and inventors to conduct their patent due diligence at a speed, scale, and quality that has never before been possible.\n\nIn minutes, we can analyze and compare the inventive aspects of thousands of patents, allowing attorneys to spend less time on tedious work and more time developing their arguments. \n\nWe’ve built our platform to be broadly applicable and easy to use. Users can leverage our AI for patent applications, responses to office actions, and invalidity, with use cases of freedom to operate, infringement, and portfolio analysis coming soon.\n\n![uploaded image](/media/?type=post&id=81893&key=user_uploads/1438386/a4381771-c0b5-4b35-9acf-72f3b6ab7183)\n\n### 🤲 The Ask\n\nWe’re actively looking to onboard more tech-forward law firms and company in-houses working with patents. We’d also love to hear directly from individual patent applicants and owners about how our tools might serve them. If you’re interested, please connect with us at [founders@tryandai.com](mailto:founders@tryandai.com) and we’d love to talk about working together!",
        "url": "https://www.ycombinator.com/launches/LIr-ai-automate-patent-due-diligence-in-an-instant",
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        "created_at": "2024-07-02T17:10:50.878Z"
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        "full_name": "Nikhil Ajjarapu",
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        "full_name": "Alexander Pesendorfer",
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        "founder_bio": "Co-founder and CTO of Rescript. Building AI tools to track public policy. Previously, I studied Computer Science, Statistics, and Machine Learning at Princeton and worked on software at a leading derivatives marketplace.",
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        "url": "https://www.ycombinator.com/companies/rescript/jobs/znyGYRt-founding-engineer",
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        "type": "Full-time",
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        "equity_range": "0.75% - 2.75%",
        "experience": "Any (new grads ok)",
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        "id": 83747,
        "title": "Rescript — AI Regulatory Analyst for Enterprises",
        "tagline": "We track emerging policies and create well-researched compliance and advocacy materials.",
        "body": "**Tl;dr:** [Rescript](https://rescript.ai/) helps regulatory compliance and advocacy teams monitor, analyze, and act on the never-ending stream of regulatory and political developments.\n\n**Problem:** \n\nRegulatory lawyers and lobbyists guide companies through constantly changing legal and political environments and are paid tens of billions of dollars every year to do so.\n\nBut there’s too much to track manually: to identify any new risk or opportunity in the US alone, they have to monitor 150,000+ laws introduced, 300,000+ hours of government hearings, and thousands of new regulations and enforcement suits every year.\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/4e8e332c-8c30-49ec-a086-b4e6099706e6)\n\n**Solution:**\n\nRescript automates this process from end to end. We’ve built AI agents that scrape legislation and regulation as it changes, identify what’s relevant for you, and help you create well-researched compliance and advocacy materials.\n\n1. **Exhaustive Tracking:** Rescript’s AI Agents scan the web and create detailed analyses of everything you need, including hearings, regulations, news, and press releases.  \n2. **Intelligent Filtering:** Our tool uses human-like reasoning to determine if a new development involves the user’s policy issues. No more dealing with keywords. \n3. **Personalized Analysis:** Collaborate with AI to translate regulatory updates into actionable insights for internal business and compliance teams.\n\n**The Team:** \n\n[Nikhil](https://www.linkedin.com/in/nikhil-ajjarapu/) previously worked as a consultant for the DoD and built software for major federal agencies with Salesforce’s Public Sector team. He graduated magna cum laude from Princeton, where he studied Computer Science and earned minors in History & Public Policy.\n\n[Alex](https://www.linkedin.com/in/alex-pesendorfer/) previously worked in software engineering at a leading derivatives marketplace. He graduated summa cum laude from Princeton with a BSE in Computer Science and minors in Statistics, Machine Learning, and Finance.\n\n[Vince](https://www.linkedin.com/in/vincentjh/) holds an MS in Computer Science and a BA in Philosophy from Stanford and previously staffed the House Science Committee in Congress.\n\n**Working with us**\n\nRescript is already used by top-10-ranked government relations firms and AmLaw 200 law firms.\n\nIf you’re interested in learning more, please [schedule a time with us here for a 15-minute demo](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2QGC5HMWdnOcDcz1cPXamWS8qKzQWFktlQLupOBtY50W-JOfXsHabKGx6u7Nod59taBnm7-dYe), or message us at [team@rescript.ai](mailto:team@rescript.ai).\n\n![uploaded image](/media/?type=post&id=83747&key=user_uploads/912498/bde7885e-51fe-4797-9829-38c511d81f18)\n\n",
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        "votes": 121,
        "created_at": "2024-09-04T15:37:24.750Z"
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    "name": "Handled",
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    "one_liner": "AI teammate for finance and operations teams at consumer brands",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1719423480,
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        "full_name": "Audrey Djiya",
        "title": "Founder/CEO",
        "founder_bio": "Audrey Djiya is the Co-Founder & CEO of Handled. Before Zimi, Audrey led projects across ops, international expansion, and GTM for e-commerce businesses like Peloton and launched fintech products to enable commerce at start-ups like Duplo (YC W23). \n\nAudrey earned her MBA from Stanford University and BA from Dartmouth College.",
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    "id": 29812,
    "name": "ZeroPath",
    "slug": "zeropath",
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        "full_name": "Anthony Rassi",
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        "founder_bio": "Anthony graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a product engineer intern. He grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anthonyrassi",
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    "jobs": [
      {
        "id": 112656,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/serve-ai/jobs/0D4OoO2-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "React",
          "TypeScript",
          "SQL",
          "Data Warehousing",
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    "news": [],
    "launches": [
      {
        "id": 83836,
        "title": "pap! — Automatic refunds for consumers",
        "tagline": "We automate refunds for consumers when they shop, fly, travel, subscribe… and live.",
        "body": "**TLDR:** Every year, consumers miss out on more than **$50B** because they are not claiming the money they are entitled to. We built AI agents that claim it for them.\n\n![uploaded image](/media/?type=post&id=83836&key=user_uploads/1984796/7093e028-b7ff-4ac4-9942-f98c49b9d002)\n\n# The Problem 🚩\n\nWhen stuff you’ve already bought goes on sale or when flights you’ve booked are delayed, policies entitle you to money. But spotting these opportunities and claiming the cash you’re owed is time-consuming and confusing. Industries subject to such policies include retail, airlines, hotels, technology, and even the government.\n\n# Our Solution 💸\n\nWe're building AI that connects to your email inbox to: scan your e-receipts, identify opportunities to get you dollars, and automatically claim them by contacting customer service via email, phone, forms, or chat.\n\nWe started by automating refunds in the shopping industry and have secured $6,650, growing **233% MoM**. With AI, we've been able to generalize that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. That’s when we understood why this had never been done before…\n\n# Why now? 🚨\n\nAI enables us, for the first time, to automatically:\n\n1. **Reason about unstructured data at scale**\n2. **Handle complex, nuanced customer service interactions**\n\n \n\nGeneralizing securing refunds from one industry to all industries turns each step of the process into an unstructured data processing problem. For example, having a parser that can only understand Cotsco receipts and a scraper that can only read the price from the Costco website is not enough anymore: you need a parser that can understand changing receipts from all enterprises and a scraper that can read information from any website. The ability to reason about unstructured data at scale replaces the rigid, static software, solving the issue.\n\n### In short, PAP! represents an opportunity to finally realize the dream customer journey — sign up once, forget we exist, and earn money effortlessly.\n\n# Our Team 👨‍👨‍👦\n\n* [Weijie](https://www.linkedin.com/in/wjwang2/) (CTO) spent 6 years in e-commerce and was the lead infra engineer for Wish’s recommendation system, the product that fueled their IPO. He was a Senior SWE at Bolt and StackAdapt. He graduated from Waterloo & UIUC.\n* [Kamal](https://www.linkedin.com/in/kamal-nahas/) (CEO) earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.\n* [Anthony](https://www.linkedin.com/in/anthonyrassi/) (COO) graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a software engineer intern. He also grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.\n\n# Our Ask 🙏\n\n1. Sign up at [joinpap.com](http://joinpap.com) (_bonus_: share your feedback with us at [founders@joinpap.com](https://mailto:founders@joinpap.com)).\n2. **Share this post and tell your friends about it!** Everyone deserves to earn the money they are entitled to.",
        "url": "https://www.ycombinator.com/launches/LoC-pap-automatic-refunds-for-consumers",
        "votes": 367,
        "created_at": "2024-09-07T21:30:50.936Z"
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    "id": 29841,
    "name": "Elayne",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a39c5ab69e2cfbf8fdd2de5562516b23e3a5d91.png",
    "website": "https://www.elayne.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Elayne is building the modern estate settlement platform. \r\n\r\nEstate settlement is a $250B+ annual market, with $80T+ in assets expected to transfer over the next 25 years. But after a death, families and executors have to spend 400+ hours manually identifying, organize, and distribute everything that was left behind like: financial accounts, debts, property, insurance, legal documents, incorporating juristidi ation requirements and family context. \r\n\r\nElayne is the first platform to surface verified assets and debts for precisely this moment, then turing our discovery into a clear inheritance map. We work directly with families and executors, and with the partners who support them: funeral homes, hospice and aftercare providers, attorneys, and financial institutions.\r\n\r\nThe company was founded by Adria, a former large-cap investor who experienced the problem firsthand, and Rebecca, a repeat fintech and mental health founder who left her master’s program in psychology at Harvard to launch Elayne. Together, they bring financial rigor, technical execution, and lived empathy to a massive but deeply human category.\r\n\r\nBacked by Y Combinator and Accel, we are now an 8-person team based in NYC.",
    "one_liner": "Estate settlement, from verified discovery to distribution",
    "team_size": 8,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1718839098,
    "tags": [
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      "B2B",
      "Legal",
      "Consumer Finance",
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    "tags_highlighted": [],
    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/elayne",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/elayne.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/meetelayne",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a39c5ab69e2cfbf8fdd2de5562516b23e3a5d91.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1815430,
        "full_name": "Adria Ferrier",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder / CEO at Elayne. Former large-cap private equity investor. Wharton grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adria-ferrier-8b242836/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/518afe9823418b557079e92352ebce3b05600deb.jpg"
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    "jobs": [
      {
        "id": 109247,
        "title": "Senior Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/fD9AZII-senior-full-stack-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$210K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "React",
          "TypeScript",
          "Software Architecture",
          "Data Modeling"
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      },
      {
        "id": 109284,
        "title": "Senior Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/7AXa0LL-senior-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$250K - $270K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Machine Learning",
          "Natural Language Processing",
          "LLMs"
        ]
      },
      {
        "id": 109289,
        "title": "Founding Operations Lead",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/brdrVdJ-founding-operations-lead",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$140K - $180K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111125,
        "title": "Legal Product Fellow",
        "url": "https://www.ycombinator.com/companies/elayne/jobs/OFRhZk4-legal-product-fellow",
        "location": "New York, NY, US",
        "type": "Internship",
        "role": "Legal",
        "role_type": null,
        "salary_range": "$30 - $40 / hourly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
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    "launches": [
      {
        "id": 83590,
        "title": "Elayne - AI estate planner & executor for employees and their families",
        "tagline": "We give back 400 hours to grieving employees, boosting their recovery and return to work.",
        "body": "Hey everyone, we’re [Adria](https://www.linkedin.com/in/adria-ferrier-8b242836/) and [Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) - cofounders of [Elayne](https://www.elayne.com/) 👋\n\n# TL;DR\n\nImagine losing a family member. You're grieving and overwhelmed by tasks like funeral planning, managing bills, insurance, probate, and closing accounts—all while trying to process your emotions and return to work. The last thing you need is 400 hours of estate settlement tasks looming over you for the next 16-20 months, making it challenging to perform at work and nearly impossible to take care of your mental health. We solve this problem for both you and your employer.\n\n**_Ask:_** Is your HR team currently reviewing benefits for 2025? Introduce us! Email [adria@meetelayne.com](mailto:adria@meetelayne.com) or [book a demo here.](https://www.elayne.com/request-demo)\n\n# 👫 The Team\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/89898/46a5e6de-d62f-4210-a54b-761ebd822c41)\n\n[Adria](https://www.linkedin.com/in/adria-ferrier/) (CEO) - Adria is a former private equity investor at Permira and Blackstone and experienced this problem firsthand after losing her mom. Instead of focusing on due diligence at work, she had to spend hours figuring out how to plan a funeral, manage probate, settle bills, and close hundreds of accounts. She left her job within a year of her loss, as many bereaved employees often do.\n\n[Graf](https://www.linkedin.com/in/jake-grafenstein-33737270/) (CTO) - Graf cut his teeth in fintech working for Truebill (YC W16). There, he led the core web and mobile team, managing the implementation of critical experiences such as subscriptions, transactions, and net worth.\n\n# ❌ The Problem\n\nEmployee bereavement costs US businesses $100bn each year.\n\n* **A look at the numbers**: For every 1,000 employees _annually:_\n  * **250 employees** will experience bereavement, 150 will experience a major loss\n  * **418 days** will be spent on affairs settlement by employees\n  * **$608,000** cost to business in lost productivity, absenteeism, and attrition\n* **No solutions:** there are no practical tools in the market to help HR leadership support their employees in the months following a loss\n* **Manual and time-consuming**: settling an estate takes an average of 400 hours over 18 months to complete and is currently completely manual\n\n# 🙇 Our Solution: One Platform for Family Estate Planning and Automated Settlements\n\n**Family Estate-Readiness 👪**\n\nThe estate-readiness platform provides a novel way for employees and their immediate family members to organize and optimize their estates.\n\n* **Visualizations**: Visualize your estate by uploading existing documentation and using our AI to extract information.\n* **Optimizations**: Use our AI to identify issues that could lead to problems executing the estate.\n* **Document Vault**: Upload and securely store critical documents that are needed in the event of a death.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/05c7fe36-9c75-460e-a1b3-4b0cff1b8fd9)\n\n**Automated Settlements 🕊️**\n\nThe post-loss platform saves employees 400 hours over 18 months by automating estate and affairs settlement after each loss.\n\n* **AI Concierge**: Chat with our AI concierge, who knows all the details about your situation and can execute tasks on your behalf.\n* **Personalized Roadmap:** Understand at a glance what you have to do, what your loved one planned ahead of time, and what the Elayne AI can do for you.\n* **Resources:** Access exclusive resources that help you understand probate and other opaque parts of the post-loss process.\n\n![uploaded image](/media/?type=post&id=83590&key=user_uploads/1979156/838b5fea-fc43-4380-b6d9-955ceaf692dd)\n\n**For HR Leaders ✨**\n\nKnowing what to say and how to support an employee experiencing a loss is hard, and navigating the death of an employee is even harder. We're here to help:\n\n* **Immediate Response**: Elayne steps in with an immediate action plan to coordinate urgent needs and communications on behalf of the employee or their family\n* **Workshops:** Explore the emotional and practical challenges that arise during the estate planning and settlement process and learn strategies to foster resilience\n* **Dashboard:** Quickly understand utilization rates, hours saved, and cost savings -for both your employees and company.\n\n# 🙏 Our Ask\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/meetelayne/), and [book a demo](https://www.elayne.com/request-demo) with our team.\n* **Share this post!** -  Do you know anyone in your network who is a CHRO, HR or benefits manager, or head of Total Rewards? Please share this post (or our promo video below!)\n* Learn more at [Elayne.com](http://Elayne.com)\n\n<https://www.youtube.com/watch?v=UH8_L0xEq9Q>",
        "url": "https://www.ycombinator.com/launches/LkE-elayne-ai-estate-planner-executor-for-employees-and-their-families",
        "votes": 213,
        "created_at": "2024-08-29T18:52:06.466Z"
      }
    ]
  },
  {
    "id": 29844,
    "name": "Oway",
    "slug": "oway",
    "former_names": [
      "Oway Inc."
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e196a71b4a93ad7200cf278186954bda68e7e3.png",
    "website": "https://www.oway.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The physical economy still operates without a common language. Enterprise systems, factories, trucks, and robots generate enormous amounts of data, but most remains fragmented across legacy software and incompatible formats. Without a shared understanding of what is happening, even the most advanced AI cannot reliably coordinate how goods are made, moved, and delivered.\r\n\r\nOway is building that common language. Our protocol, IOI, connects enterprise systems and physical hardware, cleaning messy legacy data and live telemetry into a standardized schema that AI can understand and act on. Through a shared API, businesses can query their operations, identify inefficiencies, and automate actions across systems without replacing their existing software.\r\n\r\nOur first model, Juno, applies this intelligence to unused truck capacity. It tracks empty space on trucks and sells it at a 50% discount to businesses shipping in the same direction. By moving freight directly on trucks already making the trip, Oway reduces shipping costs, damage, and transit times while generating additional revenue for carriers.\r\n\r\nEvery connected system and shipment expands our understanding of capacity, pricing, routes, facilities, and industrial operations. As this network grows, Oway is building toward a future where enterprise software, automated factories, self-driving vehicles, and robots can communicate and coordinate through one shared layer, making the physical economy programmable.",
    "one_liner": "Building the open operating system for the automated physical economy.",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1717601253,
    "tags": [
      "B2B",
      "API",
      "Infrastructure",
      "AI",
      "Industrial"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/oway",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/oway.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oway/",
    "x_url": "https://twitter.com/owayinc",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/oway-a533",
    "github_url": "https://github.com/Oway-Inc",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a3e196a71b4a93ad7200cf278186954bda68e7e3.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 993914,
        "full_name": "Phillip Nadjafov",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Oway, building the Internet of Industrials (IOI), a common protocol that connects industrial systems and gives AI the context to coordinate the physical economy.\n\nPreviously co-founded Isotrex, a multinational defense manufacturer, at 16. Built its supply chain and production end to end, became CEO in 2019, and scaled it to roughly $100M in annual revenue and 4,000+ vehicles built.\n\nSystems engineer and designer focused on American industrial automation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/phillipnadjafov/",
        "x_url": "https://x.com/phillipnadjafov",
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    ],
    "jobs": [
      {
        "id": 115283,
        "title": "Staff Engineer, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/My3AkWy-staff-engineer-ioi-internet-of-industrials",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$220K - $300K",
        "equity_range": "0.30% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Java",
          "TypeScript",
          "Reinforcement learning (RL)",
          "Machine learning",
          "AI Agents"
        ]
      },
      {
        "id": 115284,
        "title": "Senior Full-Stack Engineer, IOI Applications",
        "url": "https://www.ycombinator.com/companies/oway/jobs/kigce04-senior-full-stack-engineer-ioi-applications",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $250K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "MongoDB",
          "TypeScript",
          "AI Agents"
        ]
      },
      {
        "id": 115285,
        "title": "Forward Deployed Engineer, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/AqsthKE-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$185K - $220K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "TypeScript",
          "Data Warehousing",
          "Data Modeling",
          "AI Agents"
        ]
      },
      {
        "id": 115286,
        "title": "Strategic Partnerships Lead, Enterprise",
        "url": "https://www.ycombinator.com/companies/oway/jobs/bGqgrpO-strategic-partnerships-lead-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $250K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115287,
        "title": "Enterprise Sales Manager, Pod Lead",
        "url": "https://www.ycombinator.com/companies/oway/jobs/dRnkn65-enterprise-sales-manager-pod-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115288,
        "title": "Fleet Partnerships Director, IOI (Internet of Industrials)",
        "url": "https://www.ycombinator.com/companies/oway/jobs/EEzVXlb-fleet-partnerships-director-ioi-internet-of-industrials",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $220K",
        "equity_range": "0.20% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115290,
        "title": "Quantitative Researcher, IOI Index",
        "url": "https://www.ycombinator.com/companies/oway/jobs/LHEjh2d-quantitative-researcher-ioi-index",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$220K - $320K",
        "equity_range": "0.30% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Go",
          "TypeScript",
          "Machine Learning",
          "Reinforcement learning (RL)"
        ]
      }
    ],
    "news": [
      {
        "title": "5 Founders Building the Future of Logistics, AI, and Industrial Technology - The San Francisco Tribune",
        "url": "https://thesanfranciscotribune.com/5-founders-building-the-future-of-logistics-ai-and-industrial-technology/",
        "date": "Oct 15, 2026"
      },
      {
        "title": "How Oway uses AI to fill empty trucks and cut shipping costs - FreightWaves",
        "url": "https://www.freightwaves.com/news/how-oway-uses-ai-to-fill-empty-trucks-and-cut-shipping-costs",
        "date": "Sep 30, 2025"
      },
      {
        "title": "YC-backed Oway raises $4M to build a decentralized ‘Uber for freight’ | TechCrunch",
        "url": "https://techcrunch.com/2025/08/22/yc-backed-oway-raises-4m-to-build-a-decentralized-uber-for-freight/",
        "date": "Aug 22, 2025"
      },
      {
        "title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
        "url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/",
        "date": "Sep 26, 2024"
      }
    ],
    "launches": [
      {
        "id": 122375,
        "title": "Oway: Building the Internet of Industrials",
        "tagline": "Oway connects industrial systems through a common protocol, giving AI the context to coordinate the physical economy.",
        "body": "**TL;DR:** We’re building the Internet of Industrials (IOI), a shared context layer connecting industrial systems and giving AI a common basis of structured data across companies. IOI already powers Oway, where our first model, Juno, uses it to coordinate shipments through unused truck capacity. We’re opening that same foundation to robotics, automated factories and other industrial systems to accelerate US industrial automation.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/9346b6ba-f710-49c9-9ecb-72882cc13bca)\n\n**An example:** A factory asks its AI for eight units of mild steel by tomorrow morning. Through IOI, the AI coordinates production with a connected certified supplier and books a connected truck for delivery. All three systems share the context needed to execute and track the order.\n\n### The problem\n\nAmerica is building new factories, deploying automation, and developing autonomous vehicles. But the systems connecting industrial operations still speak different languages.\n\nInventory, capacity, equipment, orders, and operating constraints are scattered across ERP systems, TMSs, warehouses, carriers, sensors, and closed systems. That fragmentation extends across the companies that need to work together. AI cannot reliably coordinate physical work without understanding what exists, what is available, and what each system can do.\n\nProductive capacity goes unused while businesses pay more to make, store, and move goods.\n\n### Introducing IOI\n\nWe built IOI as the backend that runs Oway. It already connects every Oway customer and carrier. We’re now making it available to other businesses as a common structured context layer.\n\nOur thesis is that logistics provides the foundational language for an industrial network. Nearly every physical business can be described through a common set of primitives: **what exists, where it is, where it needs to go, available capacity, time, cost, constraints, storage, and transformation.**\n\nIOI translates those states into structured data that enterprise software, physical hardware and AI agents can share across company boundaries. Businesses can build nodes alongside their existing systems instead of replacing them. \n\nSetting up an IOI node is extremely simple, our default setup allows you to simply plug Oway in as a “carrier” into your stack that monitors and optimizes your supply chain quotes and orders - automatically gaining the context to build a full IOI data lake for you that already has action capabilities and can infer your inventory levels and SKU-level performance. Data can then automatically be fed back to SAP, Oracle Netsuite, or any data system / AI agent you’d like.\n\n![uploaded image](/media/?type=post&id=122375&key=user_uploads/993914/c9f841f6-3976-429b-9f25-81e63bc0c113)\n\nIOI will be open source soon, with Oway maintaining the standard so developers can build compatible systems. It is designed around widely adopted enterprise security practices, with each business controlling its data, access permissions and authorized actions. Nodes can run in enterprise clouds or at the edge.\n\n**Below: Ask IOI anything -** Each Oway enterprise customer also gets search functionality out of the box. \n\n![](/media/?type=post&id=122375&key=user_uploads/993914/07bea764-9c83-47a6-8c71-97f5130d28b5)\n\n### Our first model: Juno\n\nJuno is our first AI model. It reasons over IOI to price, coordinate and execute pooled shipments on trucks already traveling the route.\n\nBy ridesharing shipments into capacity already moving, we lower costs, shorten transit times and reduce damage from handling. Carriers earn from their existing capacity, with legal paperwork, insurance and DOT compliance all automatically monitored and handled.\n\n**Below: Juno in Oway OS.** A full API, MCP and EDI-compatible suite that enables businesses to leverage Juno’s rideshare capabilities however they’d like for freight shipping.\n\n![](/media/?type=post&id=122375&key=user_uploads/993914/f2a8e9b3-a635-4c69-b9a8-4c5d3f8eb1f7)\n\nWe estimate this is a **$200B+ annual optimization opportunity within America’s roughly $1T trucking industry**.\n\nWith Oway Rideshare, we deliver average savings of 30% per transaction, while also reducing damage rates, and transit times as well for cross-country shipments.\n\nFreight gives IOI an operating environment where its primitives have to produce real physical outcomes.\n\n### Where we’re going\n\nEvery connected system and shipment adds context about capacity, pricing, routes, facilities, and industrial operations.\n\nThat shared context gives robotics companies, automated factories and self-driving trucks a way to communicate and coordinate across companies. Every company on Oway, and even Oway’s model - are already running on IOI. We believe that providing these capabilities at a national level will lead to significant improvements to the GDP and global competitiveness of US-made products.\n\nOway + IOI already serves Fortune 500 companies, connects over 10,000 vehicles nationwide, and indexes hundreds of millions of dollars in annualized shipping demand.\n\nIf you’re working at a company that makes, stores, or moves physical goods, [we’d love to show you what we’re building](https://www.shipoway.com).",
        "url": "https://www.ycombinator.com/launches/Vpn-oway-building-the-internet-of-industrials",
        "votes": 23,
        "created_at": "2026-10-15T15:50:53.501Z"
      }
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    "id": 29848,
    "name": "Saldor",
    "slug": "saldor",
    "former_names": [
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    "website": "https://saldor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Saldor is the AI-native procurement and accounts payable platform that takes every purchase from request to paid.",
    "one_liner": "Making procurement easy",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1722921255,
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/saldor",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/saldor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/saldor",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/saldor",
    "github_url": "https://github.com/saldor-ai",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1733940,
        "full_name": "Jacob Bland",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO at Saldor. Used to build GPU data centers at Crusoe and fintech at Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bland-jacob",
        "x_url": "https://x.com/jacobrileybland",
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      {
        "user_id": 1970367,
        "full_name": "Jack Cameron",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Saldor. Previously at Crusoe Energy building storage solutions for Crusoe Cloud.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jackmcameron/",
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    "news": [],
    "launches": [
      {
        "id": 104430,
        "title": "Saldor: Helping businesses buy goods and services, and close their books faster",
        "tagline": "AI-Native Procurement and Accounts Payable",
        "body": "### Hey everyone,\n\nWe’re [Jack Cameron](https://www.linkedin.com/in/jackmcameron/) and [Jacob Bland](https://linkedin.com/in/bland-jacob) at [Saldor](https://saldor.com/) .\n\n**TL;DR:** Saldor helps businesses buy goods and services, and close their books faster.\n\n**The Ask**: If you work in procurement or finance, or if you’re building a company with complex purchasing needs, email us at [team@saldor.com](mailto:team@saldor.com). We’d love to talk.\n\n**The Offer**: We’re offering customers a white-glove pilot with no implementation fee.\n\nAfter a brief onboarding call, we’ll do the work required to configure Saldor, connect your existing systems, and load real company data so your team can evaluate it in a live workflow for a short period at no cost.\n\n<https://youtu.be/szTFpL0NWpg>\n\n**The Problem**\n\nBuying something at a company is rarely as simple as placing an order.\n\nAn employee submits a request. Procurement checks vendors, pricing, security, and lead times. Finance reviews the budget. Legal may review a contract. Someone creates a purchase order, follows up with the vendor, tracks delivery, and eventually matches the invoice against what was ordered and received.\n\nMany companies still manage this through email and spreadsheets, or procurement systems that are expensive and cumbersome to operate.\n\nThe problem gets worse for companies building ambitious physical infrastructure. When data centers, factories, and robotics companies cannot get the right equipment on time, entire projects can be delayed.\n\nWe saw this firsthand at Crusoe, where we helped build GPU data centers. Existing procurement systems could cost hundreds of thousands of dollars to implement, required large teams to operate, and still slowed the business down.\n\n**Our solution**\n\nSaldor is an AI-native procurement and accounts payable tool.\n\nEmployees can request goods or services, and Saldor routes each request through the appropriate approval, security, legal, and finance workflows.\n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/50e219d2-f23a-4531-b6f6-1c4410b188d2)\n\nOur AI agent communicates directly with vendors to collect documents, follow up on quotes and delivery dates, and keep records updated automatically.\n\nSaldor can then generate purchase orders, track receipts, process invoices, and match bills against what was ordered and received.\n\nTeams can also interact with Saldor through MCP and connect it to their ERP, accounting system, or other internal tools.\n\n**The Team**\n\nJack and Jacob worked together as Crusoe building AI infrastructure before leaving to start Saldor. Jack (CTO) holds a B.S in Computer Science from Carnegie Mellon University. Jacob (CEO) holds a B.S in Electrical Engineering and Computer Science from UC Berkeley. \n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/15b63775-05a7-4be6-89dc-30fc96fcb553)\n\n",
        "url": "https://www.ycombinator.com/launches/RAM-saldor-helping-businesses-buy-goods-and-services-and-close-their-books-faster",
        "votes": 15,
        "created_at": "2026-07-01T17:01:59.082Z"
      }
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    "id": 29952,
    "name": "Ficra",
    "slug": "ficra",
    "former_names": [
      "SignOp",
      "Ficra",
      "Ficra (SignOp)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0dc17fe22b167d4939fbd99c8dd3dcf2bb877cd0.png",
    "website": "https://ficra.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ficra automates workflows for SMBs and Mid-sized businesses and firms.",
    "one_liner": "Automating workflows.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1725388449,
    "tags": [
      "B2B",
      "Automation",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/ficra",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ficra.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ficra-ai-yc-s24/",
    "x_url": "https://x.com/ficra_ai",
    "fb_url": null,
    "cb_url": null,
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1011051,
        "full_name": "Omar El-Sadany",
        "title": "Founder",
        "founder_bio": "Co-Founder at Ficra; 3x founder; engineer.\n\nPreviously, Omar founded Sawa, a venture-backed platform increasing opportunity and transparency in Web3 and AI. An early Tech Lead at Voicea (acquired by Cisco), he developed core AI assistant features, like patented chat-based interaction and voice commands. Earlier, he was a software engineer at Apple, where he was recruited following the success of his mobile app, flagtag.\n\nHolds an MBA from Stanford; BS in Computer Science from Carnegie Mellon.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/omar-el-sadany",
        "x_url": "",
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      },
      {
        "user_id": 1946590,
        "full_name": "Mohammed Abid",
        "title": "Founder",
        "founder_bio": "Co-founder Ficra; 3x founder; designer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mohammed-abid-40777b16/",
        "x_url": "",
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    "launches": [
      {
        "id": 83759,
        "title": "Ficra: A visual map of every ad, email, flow, and screen your users see",
        "tagline": "Automatic, realtime visibility into your user journey;  a source of truth for every marketing and product funnel.",
        "body": "**tldr:** Ficra is a real-time, visual map of your users’ journeys, both inside and outside your product. Our AI automatically gives you real-time visibility into marketing and product funnels, including every ad, email, A/B test, push notification, and in-app flow your users see.\n\n[Get access now](https://ficra.ai/)— we'll get you up and running fast.\n\n# \n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a04d03c5-f67b-46e9-898e-5086b65aaace)\n\n# **It’s damn near impossible for companies to track everything their users interact with**\n\nYour company has a lot of online content— your website, marketing emails, Facebook ads, social media posts, and the product itself (which varies based on different A/B tests, geographies, languages, accessibility settings, and platforms). It’s tough to keep track of all the ways users interact with your company, and that’s a big problem for:\n\n* Marketing teams who struggle to understand and optimize their conversion funnels or manage brand consistency when everything is in disparate systems.\n* Compliance teams who need to ensure that customers see required disclosures and consents; otherwise, they risk massive fines for their company.\n* Product teams that can’t effectively develop a roadmap or new features without manually going through their app and taking screenshots of what is live in production.\n\n# **Meet Ficra**\n\nFicra’s AI helps teams see and manage every part of the user experience, both inside and outside of the product. From ads to notifications to product screens, Ficra gives you a clear and updated view of everything your users encounter, all in one place.\n\n# **What customers love about Ficra:**\n\nThe product flows, AB tests, ads, emails, and notifications your users see in one place:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/7068eb43-1091-45c2-a510-f4a19b419bb2)\n\nA complete historical record for compliance, branding, and design audits (can even be shared with banking partners) too.\n\nVisual and text-based search to find the touchpoint(s) you’re looking for:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1946590/57e8dfc5-255b-4a0c-8bd4-0db962c8ae13)\n\nSet monitoring rules to flag compliance violations, outdated copy, or broken UI:\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/61e5935b-c753-445b-8e9e-7725c0f2c040)\n\n# **The Team**\n\n![uploaded image](/media/?type=post&id=83759&key=user_uploads/1011051/a1390f51-d9fa-4ae2-a253-e695b5eb8e39)\n\nHi everyone! We’re [Mo](https://www.linkedin.com/in/mohammed-abid-40777b16/) and [Omar](https://www.linkedin.com/in/omar-el-sadany/), childhood friends for over 25 years who are building our third company together. We’re experienced engineering and product leaders who have founded and exited companies that have scaled to millions in users and ARR. We’ve worked at places like Apple and Meta (4 patents between us), and both have degrees from Stanford and Carnegie Mellon.\n\nWe’re building Ficra because we wanted this tool at our previous companies.\n\n# **Asks**\n\n1. [Get started with Ficra now!](https://ficra.ai/) We’ll have you up and running quickly with minimal effort on your part.\n2. Our early customers have been compliance and marketing teams that need full visibility on their entire user journey. If you know anyone who could benefit, please share Ficra with them!\n\nContact: [founders@ficra.ai](mailto:founders@ficra.ai) | Website: <https://ficra.ai/> | Calendar: [Book Time](https://calendly.com/omar-ficra/30min)",
        "url": "https://www.ycombinator.com/launches/Lmx-ficra-a-visual-map-of-every-ad-email-flow-and-screen-your-users-see",
        "votes": 159,
        "created_at": "2024-09-04T19:27:47.685Z"
      }
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  },
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    "id": 29955,
    "name": "BrowserOS",
    "slug": "browseros",
    "former_names": [
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    "website": "https://BrowserOS.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "BrowserOS is an open-source agentic browser that runs AI agents locally.",
    "one_liner": "The Open Source Agentic Browser",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1722468998,
    "tags": [
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      "Consumer",
      "B2B",
      "AI"
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    "isHiring": false,
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    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/browseros",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/felafax/",
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        "user_id": 105063,
        "full_name": "Nithin Sonti",
        "title": "Founder",
        "founder_bio": "Building open-source agentic browser. Privacy-first alternative to Perplexity Comet, Dia.\n\nPreviously, ML Engineer at Google/Youtube and NVIDIA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nithinsonti",
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        "user_id": 1765,
        "full_name": "Nikhil Sonti",
        "title": "Founder",
        "founder_bio": "Building open-source agentic browser. Privacy-first alternative to Perplexity Comet, Dia.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhilvenkatsonti",
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    "launches": [
      {
        "id": 93960,
        "title": "BrowserOS – The Open Source Agentic Browser",
        "tagline": "Build AI agents that automate any browser task using plain English",
        "body": "**TL;DR:** **BrowserOS is an open-source, AI-native browser that automates your tedious web tasks**. Just describe what you want in plain English—like \"find software engineers from my LinkedIn requests and add them to a google sheet\"—and watch an AI click, type, and navigate on your behalf, all running locally with your logged-in sessions. We're an open-source and privacy-first alternative to Comet, Dia, Chrome.\n\nWe are grateful for all our early supporters — 4.3k+ Github ⭐, 25,000+ downloads and an active discord community of 1000 folks!\n\n![uploaded image](/media/?type=post&id=93960&key=user_uploads/105063/b11e5c5f-8e15-4375-a62e-ed1ddbaa428b)\n\n### **🤔 Why Now**\n\nAI coding tools made developers 10x faster. But a billion knowledge workers still grind through browser busywork. Copy-paste. Click. Repeat. Even we spend half our engineering time on mindless browser tasks. It's ridiculous—AI writes our entire codebase but can't click a button.\n\nSo what’s blocking the browser’s ‘Cursor moment’?\n\n### **🧨 The Problem**\n\nWe think it comes down to three big problems preventing mass adoption of AI agents for knowledge workers, especially at enterprises:\n\n**1. Can't access your logged-in sessions.** Most agentic solutions today (like ChatGPT Operator, Manus) run on remote computers. They can't log into your Gmail, LinkedIn, or company tools. So they fail at every real task you actually need help with.\\\n**2. Tools are fragmented.** You've got agent builders that use MCP servers. Others that only do browser automation. Some that just call APIs like Zapier. There's no single solution that lets you build an agent using all these approaches together.\\\n**3. Closed source:**  Most other popular browsers come from search/ad companies who want to track you and sell ads. They lock you into their LLMs, hide how things work, and send your data to their servers. That's a dealbreaker for enterprises who can't send sensitive data to third parties.\n\n## **🥳 Our Solution**\n\nBrowserOS is an open-source, privacy-first browser built to solve these problems by design.\n\n1. It's just a normal browser you download and run on your machine. You log into websites like you always do. But now agents can use those logged-in sessions to actually do useful work - they can browse the web just like you would, using your existing logins.\n2. We support both MCP servers and browser automation. You can stitch them together to build agents that handle complex workflows. Need to pull data from a website, process it through an API, then update a spreadsheet? One agent can do it all.\n3. We're fully open source. You can see our system prompts, change them if you want. Bring your own API keys or run models locally with Ollama. Your data stays on your computer.\n\nKey features of BrowserOS:\n\n* **Build agents with plain English** - Just describe what you want. No coding required.\n* **Use any LLM you want** - Bring your own API keys, switch between models, or run everything using local LLMs\n* **Still a normal browser** - It's Chromium underneath. All your Chrome extensions work.\n\n### **🚀 The future**\n\nHere's what excites us: a billion knowledge workers spend 60-80% of their day in browsers. Every enterprise runs on web apps—Salesforce, SAP, Workday, internal tools. These workers waste hours on tasks that make them miserable. Filing expense reports. Extracting data from dashboards. Setting up ad campaigns.\n\n**We think browsers will become new operating system where AI employees live and work alongside humans.** Imagine a world where IT builds an “expense report agent” once, every employee benefits. Someone shares their “Facebook Ads agent” publicly. You fork it, tweak it for your workflow. The mundane work gets automated while humans focus on what matters.\n\nThis kind of automation only works in browsers. Not everything has APIs, but everything has a web UI. If an agent can click and type like a human, it can automate any web app—from legacy enterprise software to the latest SaaS tools.\n\nWe're building the best browser for this future!\n\n### **🏋️‍♂️ Team**\n\nWe're twin brothers who've been building products together for years. We spent the last 6 years as engineers at Google and Meta.\n\nNikhil worked on Instagram Reels and Facebook Feed Ranking backend—deep C++ and systems work. Nithin was an ML engineer on YouTube Recommendations and worked on building Youtube’s first Large Recommender Model (LRM).\n\nWe feel this gives us the perfect mix of experience to tackle a massive C++ codebase like Chromium while building a powerful agent and AI layer on top.\n\n![uploaded image](/media/?type=post&id=93960&key=user_uploads/105063/5b10f1a2-86df-4154-a02b-52ae465cea00)\n\n### **🙏 Our Ask**\n\n* **Star us on [GitHub](https://git.new/browseros)** to support our mission.\n* **Download [BrowserOS](https://www.browseros.com/)**; it’s available for macOS, Windows, and Linux!\n* **Join our [Discord](https://discord.gg/YKwjt5vuKr)** to help shape our roadmap.",
        "url": "https://www.ycombinator.com/launches/ORU-browseros-the-open-source-agentic-browser",
        "votes": 1499,
        "created_at": "2025-09-19T16:05:06.209Z"
      },
      {
        "id": 82653,
        "title": "Felafax: Expanding AI Infra beyond NVIDIA",
        "tagline": "Building open-source AI platform for next-generation AI hardware, reducing ML training costs by 30%.",
        "body": "**TL;DR:** We are building an open-source AI platform for non-NVIDIA GPUs. Today, we are launching one of the pieces, a seamless UI to spin up a TPU cluster of any size and providing an out-of-box notebook to fine-tune LLaMa 3.1 models. **Try us at **[**felafax.ai**](https://felafax.ai?utm_source=yc&utm_medium=post&utm_campaign=launch-yc)** or check out our **[**github**](https://github.com/felafax/RoadRunnerX)**!**\n\n## 👋 Introduction\n\nHi everyone, we're Nikhil and Nithin, twin brothers behind Felafax AI. Before this, we spent half a decade at Google and Meta building AI infrastructure. Drawing on our experience, we are creating an ML stack from the ground up. Our goal is to deliver high performance and provide an easy workflow for training models on non-NVIDIA hardware like TPU, AWS Trainium, AMD GPU, and Intel GPU.\n\n![uploaded image](/media/?type=post&id=82653&key=user_uploads/105063/96b92f10-55b4-4137-a100-23bea3e5c4c6)\n\n## 🧨 The Problem\n\n* The ML ecosystem for non-NVIDIA GPUs is underdeveloped. However, alternative chipsets like Google TPUs offer a much better price-to-performance ratio; **TPUs are 30% cheaper** to use.\n* The cloud layer for spinning up AI workloads is **painful**. Training requires installing the right low-level dependencies (infamous CUDA errors), attaching persistent storage, waiting 20 minutes for the machine to boot up… the list goes on.\n* Models are getting bigger (like Llama 405B) and don't fit on a single GPU, requiring complex **multi-GPU** orchestration.\n\n## 🥳 The Solution\n\nToday, we're launching a cloud layer to make it easy to spin up AI training clusters of any size, from 8 TPU cores to 2048 cores. We provide:\n\n* **Effortless Setup:** Out-of-the-box templates for PyTorch XLA and JAX to get you up and running quickly.\n* **LLaMa Fine-tuning, Simplified:** Dive straight into fine-tuning LLaMa 3.1 models (8B, 70B, and 405B) with pre-built notebooks. We've handled the tricky multi-TPU orchestration for you.\n\n![uploaded image](/media/?type=post&id=82653&key=user_uploads/1765/d34757cd-a366-4dcb-9491-0d03f46520a7)\n\nIn the coming weeks, we will also launch our open-source AI platform built on top of JAX and OpenXLA (an alternative to NVIDIA's CUDA stack). We will support AI training across a variety of non-NVIDIA hardware (Google TPU, AWS Trainium, AMD and Intel GPU) and offer the same performance as NVIDIA at 30% lower cost. **Follow us on **[**Twitter**](https://x.com/nikhil_sonti)**, **[**LinkedIn**](https://www.linkedin.com/company/felafax/)** and **[**Github**](https://github.com/felafax/RoadRunnerX)** or updates!**\n\n## 🙏 How You Can Help\n\n1. Try our seamless cloud layer for spinning up VMs for AI training – **you get $200 credits** to start off - [app.felafax.ai](https://app.felafax.ai/)\n2. Try fine-tuning LLaMa 3.1 models for your use case.\n3. If you are an ML startup or an enterprise that would like a seamless platform for your in-house ML training, reach out to us ([calendar](https://cal.com/nikhilsv/felafax)).",
        "url": "https://www.ycombinator.com/launches/LV7-felafax-expanding-ai-infra-beyond-nvidia",
        "votes": 49,
        "created_at": "2024-08-01T19:44:42.661Z"
      }
    ]
  },
  {
    "id": 29957,
    "name": "Anglera",
    "slug": "anglera",
    "former_names": [
      "Angler"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2dfb2adf611e11737fa14a1b9b4be581858cfc3.png",
    "website": "https://www.anglera.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds.\r\n\r\nWe previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.",
    "one_liner": "AI-Powered Product Data Enrichment",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1719875304,
    "tags": [
      "Machine Learning",
      "SaaS",
      "B2B",
      "E-commerce",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/anglera",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/anglera.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/anglera/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/anglera",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2dfb2adf611e11737fa14a1b9b4be581858cfc3.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1164027,
        "full_name": "Amay Aggarwal",
        "title": "Founder/CEO",
        "founder_bio": "Amay is the Co-Founder of Anglera. \nHe graduated from Stanford with Bachelor's & Master's degrees, specializing in AI/ML.\nPreviously, he led Catalog AI efforts to onboard, enrich, & standardize millions of products sold on Uber Eats.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amayaggarwal/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b3efa8fd2d4d81bb68515971d014bc0e51d048d.jpg"
      },
      {
        "user_id": 497318,
        "full_name": "Ray Iyer",
        "title": "Founder/CTO",
        "founder_bio": "Ray is the Co-Founder of Anglera. He graduated from Stanford with a BS and MS in Computer Science, specializing in Systems & AI. Previously, he launched the first CPG Ads products at Uber Eats, and worked in engineering roles at Meta, Verkada, & Microsoft.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/~iyer",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/556924594c0533b9f4e05f5ef281f52bb996f327.jpg"
      }
    ],
    "jobs": [
      {
        "id": 83916,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/anglera/jobs/zm2yMzn-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$125K - $160K",
        "equity_range": "0.25% - 0.75%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "SQL"
        ]
      },
      {
        "id": 96228,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/anglera/jobs/0EcFRvd-growth-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 91364,
        "title": "Anglera: AI Product Data Enrichment",
        "tagline": "We're building the product data infrastructure for the future of AI-driven commerce",
        "body": "**TLDR:** Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.\n\n🎥 **See our AI agents in action**: https://youtu.be/zlLaT-Uv9Xs\n\n---\n\n### **🔥 The Problem**\n\nWhile everyone's building AI apps, there's a massive infrastructure gap underneath: **product data is broken at scale.**\n\n* **Poor Discoverability** - 20% of searches return zero results due to missing/inconsistent information\n* **Low Conversion** - Data errors cause 23% loss in impressions and 14% drop in conversions\n* **Slow Time-to-Market -** Weeks of delays getting new products live due to manual data entry\n\n**Result:** Billions in lost revenue from broken infrastructure.\n\nThe tech stack looks like this today:\n\n```\nBeautiful frontend shopping UI/UX\n↓\nIntelligent search & discovery algorithms\n↓\nMessy, unstructured product data ← ✨ We fix this\n```\n\n### **🧠 Our Approach**\n\nWe've built AI agents that automatically transform any product data source into clean, structured, enriched content:\n\n* **Input:** Messy spreadsheets, PDFs, images, brand websites, supplier feeds \n* **Output**: Complete, enriched product catalogs, continuously optimized for AI discoverability\n* **Scale:** Process thousands of SKUs in seconds, not weeks.\n\n---\n\n### **🎯 Why Now?**\n\nTwo massive shifts are happening simultaneously:\n\n1. **AI Search Explosion:** ChatGPT, Perplexity, and others are becoming primary product discovery channels\n2. **Agentic Commerce:** AI agents are starting to make purchases autonomously\n\n---\n\n### **🤝 The Founding Story**\n\n![uploaded image](/media/?type=post&id=91364&key=user_uploads/1164027/c4bc63d9-8268-43bc-8c95-118fbac2588b)\n\n**Amay** and **Ray** - Stanford AI grads who lived this pain at Uber Eats scale:\n\n* **Amay:** Led Catalog AI, enriching millions of SKUs\n* **Ray:** Led CPG Ads, scaling product-driven ad campaigns\n\nNow we're bringing that same level of sophistication to every retailer.\n\n---\n\n### **🔮 The Vision**\n\nImagine a world where:\n\n* Every product is instantly discoverable by AI agents\n* Product information flows seamlessly between systems\n* New products go to market in hours, not months\n\n---\n\n### **🙏 Our Ask**\n\nWe're looking for connections to:\n\n* **Technical leaders** at retailers/marketplaces dealing with product information challenges\n* **AI shopping, search, or marketplace founders** who might benefit from what we're building\n\n\\- Amay, Ray & the Anglera Team\n\nWebsite: [www.anglera.com](https://www.anglera.com)\n\nEmail: [founders@anglera.com](https://founders@anglera.com)",
        "url": "https://www.ycombinator.com/launches/Nlc-anglera-ai-product-data-enrichment",
        "votes": 13,
        "created_at": "2025-06-17T13:40:54.115Z"
      },
      {
        "id": 82584,
        "title": "🛍️ Anglera: The smartest way to manage e-commerce products",
        "tagline": "Turn complex product data into high-converting listings in seconds",
        "body": "**TLDR**: [Anglera](https://www.anglera.com) is an AI-powered platform designed to help e-commerce companies manage their product data. We empower brands, retailers, and marketplaces to effortlessly onboard, enrich, and list hundreds of product SKUs. This saves time and improves sales. Contact us to learn more: [amay@anglera.com](mailto:amay@anglera.com)\n\n### **👋 Who we are**\n\nHello! We’re [Amay](https://www.linkedin.com/in/amayaggarwal/) & [Ray](https://www.linkedin.com/in/\\~iyer), and we’re on a mission to redefine how e-commerce companies manage their product data.\n\n![uploaded image](/media/?type=post&id=82584&key=user_uploads/1164027/42a17226-77c0-4c1d-8fb9-cab72b34aaf6)\n\nWhether you’re a brand, retailer, or marketplace, we know that dealing with e-commerce products can be challenging. We faced this problem first-hand at Uber Eats, where we built tech to enhance millions of listings uploaded by our restaurant and retail partners.\n\n### **🔍 Problem**\n\nMost rapidly growing e-commerce companies spend several hours each week managing their products across sales channels. Teams drown in spreadsheets, manually adding descriptions, images, and attributes for hundreds of items. This time-consuming process diverts focus away from actually growing their core business.\n\n### **💡 Solution**\n\nWe’re tackling the $20B Product Information Management (PIM) industry by building the smartest platform for managing e-commerce product data.\n\n<https://youtu.be/D3jKEOzbD-s>\n\nAnglera empowers every e-commerce business with their own AI catalog ‘expert’ trained on thousands of top-converting product listings. We not only help our customers onboard new products faster, but also improve all of their listings to drive better sales.\n\n**Key Features:**\n\n* **✅ Faster Time-To-Market**: Instantly onboard products from any source (Website URL, Spreadsheet, PDF, etc.)\n* **​✅ Better Sales**: Automatically enrich descriptions, images, & attributes to drive conversion\n* **✅ Wider Reach**: Start selling on new channels with just one click (Shopify, Amazon, etc.)\n\nWe measure success for our customers with two simple metrics: 1) $ increase in sales, and 2) # of hours saved.\n\n### **🙏 Asks**\n\n1. **Let’s chat** if you're a brand/retailer/marketplace looking to improve how you manage your product listings. Happy to share data-driven learnings from years of experience working on this at Uber Eats.\n2. **Introduce us** to any e-commerce companies in your network. Whether it's a friend running their own brand or someone who works at a larger retailer or marketplace, we’d love to connect.\n\nContact: [amay@anglera.com](mailto:amay@anglera.com) | Website: [www.anglera.com](http://www.anglera.com) | Calendar: [Book Time](https://calendly.com/amay-anglera/15-min)",
        "url": "https://www.ycombinator.com/launches/LU0-anglera-the-smartest-way-to-manage-e-commerce-products",
        "votes": 45,
        "created_at": "2024-07-30T21:50:52.321Z"
      }
    ]
  },
  {
    "id": 29965,
    "name": "Formula Insight",
    "slug": "formula-insight",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.png",
    "website": "https://www.formulainsight.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Formula Insight offers Institutional Investors previously inaccessible data. We provide a central repository of financial models so investors can track changes to forecasts, quantify projection accuracy and expedite analysis.  This further systematizes the investment process and enables better investment decisions.",
    "one_liner": "Help Institutional Investors manage, track & query their Excel models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1721802502,
    "tags": [
      "Fintech",
      "SaaS",
      "B2B",
      "Workflow Automation",
      "Enterprise Software"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/formula-insight",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/formula-insight.json",
    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/formula-insight/",
    "x_url": "https://x.com/FormulaInsight",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d24f87db5131a298b5fd35aba59870c07522d6f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 2084024,
        "full_name": "Will Tong",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Formula Insight.  Will brings a decade of financial expertise to the role.  He spent the past 4 years in public equities investing, most recently managing a healthcare equities portfolio at Citadel.  In 2022, Will distinguished himself as a top 5 equity analyst within Citadel's Global Equities division.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-tong-04046a162/",
        "x_url": "https://x.com/yingertong",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8aeb942c82947344c2ef87f60ddadcaab08f21.jpg"
      },
      {
        "user_id": 550721,
        "full_name": "Stefan Raghavan",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at Formula Insight. Background in building complex engineering systems, specializing in rockets and drones, most recently at SpaceX and Zero Aviation.\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stefan-raghavan-957204a1/",
        "x_url": "https://x.com/stefanraghavan",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a9fa9d5dddf245fe63fd1cc7a2ae1a6cadf6355.jpg"
      }
    ],
    "jobs": [],
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    "launches": [
      {
        "id": 85848,
        "title": "Formula Insight: An Equity Research Platform that Analyzes Complex Excel Models",
        "tagline": "Expedites research by providing analysis in minutes to help investors gain an edge in the public markets.",
        "body": "**tl;dr**\n\nAt Formula Insight, we’re launching our new equity research platform. It’s integrated with FactSet data and designed by a former Citadel investor and SpaceX engineer. Institutional investors use spreadsheets to manage billions of dollars for investments. However, key insights are lost when connecting the dots between complex Excel financial models with millions of cells and across hundreds of SEC filings, management transcripts, and research papers. \n\nFormula Insight expedites the research process by analyzing these critical documents in minutes to help investors gain an edge in the public markets.\n\n<https://youtu.be/yIUYmBQ9Jc0>\n\n**The Problem**\n\nFinancial models in Excel are the backbone of every investment thesis. Still, the workflow between financial model analysis and other key research documents has been separate. Critical details are missed when drawing inferences between Excel data and paper documents, and the work to build the fact pattern for investment decisions is inefficient.\n\n**The Solution**\n\nUsers can accurately search through millions of cells and build the fact pattern within internal financial Excel models, all down to granular KPIs for custom benchmarking. They can also plot financial projections against consensus estimates and draw inferences across hundreds of documents, including transcripts and filings. All answers have source document references and are housed within a secure environment, ensuring that sensitive information remains protected.\n\nSign up [here](https://fwotrcm808u.typeform.com/to/cYqIrmWn) to get access.",
        "url": "https://www.ycombinator.com/launches/MKe-formula-insight-an-equity-research-platform-that-analyzes-complex-excel-models",
        "votes": 11,
        "created_at": "2024-11-28T16:30:35.284Z"
      }
    ]
  },
  {
    "id": 29966,
    "name": "Mica AI",
    "slug": "mica-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e4f97e07f6e1a169c14a54417c11eec5688e0c6.png",
    "website": "https://usemica.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, as employees teach AI how to perform valuable company work, the resulting capabilities often remain trapped on individual laptops or scattered across chats and repositories. \r\n\r\nMica gives each company a managed, agent-native internal marketplace where employees can publish capabilities, discover them by describing the task they need help with, and install them through the AI tools they already use. Mica tracks ownership, requirements, permissions, and team customizations while letting employees contribute improvements back to the shared version for evaluation and approval.\r\n\r\nThe result: employees stop rebuilding workflows their coworkers have already solved, useful improvements spread across the organization without overwriting team-specific customizations, and security gains visibility without blocking bottom-up innovation. Mica turns scattered AI work into institutional knowledge that compounds.",
    "one_liner": "Turn employees' AI skills into shared company infrastructure",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1720831958,
    "tags": [
      "Marketplace",
      "B2B",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/mica-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/mica-ai.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mica-ai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 281665,
        "full_name": "Achyuta Iyengar",
        "title": "Founder/CEO",
        "founder_bio": "Achyuta is the co-founder and CEO of Mica AI.\n\nPrior to Mica, Achyuta worked as a Product Manager at Lob (YC S13) where he led the New Product Development, Address Verification, and Developer Experience teams. He has a BS in Business Administration from the Haas School of Business at UC Berkeley. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/achyuta-iyengar/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5f83813035e3085879bf3a9c23416cf0181ee03.jpg"
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      {
        "user_id": 1626603,
        "full_name": "Bharadwaj Swaminathan",
        "title": "Founder/CTO",
        "founder_bio": "Bharadwaj is the founder and Head of Engineering at Mica AI. Previously, he worked as a Data Scientist at Hewlett Packard Enterprise, working on creating machine learning products in the networking space. He has a Bachelor's in Data Science and Economics from UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bharadwajswaminathan",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c683cdfe84236872d02756b37c82e756443872ad.jpg"
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    "launches": [
      {
        "id": 82748,
        "title": "Mica AI - AI Agents that Automate B2B Sales",
        "tagline": "Helping SaaS sales teams close more deals.",
        "body": "Hi everyone, we’re Achyuta, Jai, and Bharadwaj!\n\n**TLDR:**\n\n[**Mica**](https://usemica.com/) helps B2B sales teams close more deals by automating their entire sales follow-up process. Our AI agents analyze sales calls, generate tailored collateral, and follow up with prospects until the deal is closed.\n\n**The Problem:**\n\nThe best sales reps aren’t just great at selling—they are elite content creators. They crafted tailored collateral like decks, 1-pagers, and product demos to help champions advocate internally. However, creating this content often takes over 30 minutes per call, and with multiple calls a day, even the best reps can only prioritize a few clients, leaving others with subpar follow-ups and millions in lost deals.\n\n**Our Solution:**\n\nMica automates the sales follow-up process by generating deal-closing collateral in less than a minute. Our AI analyzes sales calls, extracts key insights, builds tailored collateral, and sends this to prospects in a centralized deal summary page.\n\n![uploaded image](/media/?type=post&id=82748&key=user_uploads/281665/a654eebe-5ef9-48ee-ab9d-ca41efc83bc4)\n\n**Key Benefits**\n\n1. **Quicker Follow-up Time:** Mica creates personalized follow ups in under 1 minute. This lets top performers do A+ work on every deal and helps the rest of the team sell like a top performer.\n2. **Faster Sales Cycles:** The point of contact can easily review important information from the call, share it internally, and make decisions faster.\n\n**How it Works**\n\n1. **Upload:** Mica automatically pulls in your sales call from existing recording or notetaking tools.\n2. **Extract Key Insights:** Mica identifies the key points the prospect was most interested in.\n3. **Generate Tailored Collateral:** Mica creates tailored decks, product demos, and 1-pagers for each key topic.\n4. **Share:** Mica generates a shareable link containing all the collateral, which can be sent directly to the prospect in follow-up emails that Mica also creates.\n\nHere’s a demo of Mica that we created from an actual Mica sales call:\n\n<https://www.youtube.com/watch?v=xIHwwnYKj5o>\n\n**Our Ask:** We’re looking to onboard customers who want to automate and improve their sales follow-ups.\n\nWe’re looking for:\n\n* Sales reps and heads of sales at B2B SaaS companies.\n* Founders who are doing founder-led sales.\n\nAnyone who is interested can book a demo [**here**](https://calendly.com/achyutaiyengar/mica-15-minute-demo).\n\n![uploaded image](/media/?type=post&id=82748&key=user_uploads/281665/307627c1-b261-47d7-b07a-b78ac54926be)\n\n",
        "url": "https://www.ycombinator.com/launches/LWe-mica-ai-ai-agents-that-automate-b2b-sales",
        "votes": 16,
        "created_at": "2024-08-05T20:19:18.712Z"
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  },
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    "id": 29969,
    "name": "OrgOrg",
    "slug": "orgorg",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fb29e15efef66c7b44bb861d2b14c2d4cc13ca4.png",
    "website": "https://orgorg.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "OrgOrg is a suite of apps that keeps teams productive and healthy regardless of the size of your organization. Founded by the creator of Zenter (YC 07, acquired by Google and became Google Slides), OrgOrg is designed to be a natural extension of Google Workspace Apps to help run organizations collaborate better leading to higher productivity.\r\n\r\nToday the suite includes apps like:\r\n  \r\n• Go links: Go links allows anyone in the org to easily name any link so team members can jump directly to the information that matters most: go/sales, go/production, go/anything-you-want.\r\n• Profiles with Personality: OrgOrg profiles are as insightful as they are delightful. They not only show you the expected org chart data, but also highlight accomplishments, how you like to work, and who you are as a person.\r\n• Goal tracking: Track, share, and collaborate on \"big rock\" goals on the cadence that makes sense for your team from daily to annually.\r\n• Branded New Tab: Keep the team focused the next major milestone, broadcast announcements, and keep important links top of mind every time a new browser tab is opened.\r\n• All Hands Q&A: Crowdsource questions, anonymously if desired, for large team meetings to make sure everyone's voice is heard, and the most top of mind questions are answered and recorded.\r\n• Smart Groups: Create rules based groups of people and use them to make sure the right people are in the right conversations and have the right access. For example, anyone with the title of \"Software Engineer\" should be in the #eng slack channel and eng@ google group.\r\n• On-call: Schedule smart rotations that take into account balancing the load and using signals from calendar schedules to make sure you don't waste time figuring out who can cover what in a fair way. Easily page the on-call from slack, API, or OrgOrg directly.\r\n• And more...\r\n\r\nAll the tools you need so you can spend more time focusing on your core business, and less time focusing on the complexity that comes from running an organization.",
    "one_liner": "Organizational productivity suite for companies",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1722926943,
    "tags": [
      "B2B",
      "Productivity",
      "Collaboration",
      "Operations"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "OrgOrg is the culmination of 25 years of being an operator. OrgOrg is the third company I’ve founded. My first, Zenter (YC S07), was acquired by Google and turned into Google Slide. I led much of the G Suite in the early days and grew the product to Google’s 4th billion dollar, and billion user product. As good as Google Workspace is as an employee productivity suite, it misses the mark as an organizational productivity suite. The tooling and applications needed to run organizations is largely missing from the suite. So, when I founded my second company in 2016, Humu, I found myself having to rebuild all the internal tools I’d come to rely on to run a productive organization. Things like great employee profiles, anonymous all hands Q&A software, go links, rules based groups of people, and about a dozen more tools and apps that are required run the organization were all absent from existing productivity suites. While there are point-wise solutions to solve some of these problems, it’s clear organizations need a suite of them that seamlessly operate together. In much the same way as the market for the employee productivity suite of docs, sheets and slides is larger than sum of the parts, so to is the market for an organizational productivity suite that brings the best tools together in a cohesive way."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "OrgOrg is solving the problems that arise from organizational complexity, so we can all be more productive and have a bigger impact. I’ve always had a passion for making work better for people. I believe working is fundamental to the human experience. We have a natural propensity to come together and build things that are bigger than what we could do by ourselves. In it’s purest form, work gives us a sense of purpose and joy. However, as organizations add people and grow linearly, the complexity that comes from each addition team member grows exponentially. The added complexity of having to interact with more people causes inefficiencies in communication, reduced focus and velocity, and erodes the sense of purpose that is critical to building successful teams. These problems can be mitigated with the right tooling and technology. With the advent of AI, it’s clear we are on the brink of a change in the labor market as big as the industrial revolution. But, make no mistake, work isn’t going away — because humans will always find ways to work together. The companies that embrace the fundamental reasons why we work, and embrace the technology to help mitigate the challenges of working together, are going to be the ones that are successful. In 2007, with the advent of GSuite (Google Workspace), we fundamentally changed the way people work, and OrgOrg is going to do it again."
      }
    ],
    "url": "https://www.ycombinator.com/companies/orgorg",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/orgorg.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/93273339",
    "x_url": "",
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    "cb_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 39282,
        "full_name": "Wayne Crosby",
        "title": "Founder/CEO",
        "founder_bio": "Wayne is the CEO and founder of OrgOrg, an Organizational Productivity Suite. His first startup, Zenter (W07), was acquired by Google and became Google Slides. Wayne spent 10 years at Google building GSuite, Sign-In with Google, Google+, Applied Machine Intelligence, and more. In 2016, Wayne founded Humu, a company focused on making work better by using software and behavioral change. Humu was acquired by Perceptyx in 2023. Wayne has also been a visiting partner at YC for S23 & W24 batches.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wcrosby/",
        "x_url": "https://twitter.com/wcrosby",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a30dc9b080313e10ac0d3c8615e22d6fe7b9393a.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 87985,
        "title": "OrgOrg Screen Recording",
        "tagline": "Stop using Loom, Screen recording is now part of the OrgOrg Suite",
        "body": "![uploaded image](/media/?type=post&id=87985&key=user_uploads/39282/c43abadc-1483-4304-9217-ea072bc5b8db)\n\nThere are too many point wise SaaS products to run your org! Every couple of months, we knock off another one and include it in the OrgOrg suite. Today I'm excited to announce our Loom competitor, the Screen Recorder! 🚀\\\n[See a demo of in action, using the product itself](https://orgorg.com/recorder/33/34mxOUCLCWgqNYRUFZfnGk).\n\nWhether you need to record demos, pitches, bugs, or customer journeys, the Screen Recording app makes capturing and sharing information easy and engaging - connect OrgOrg to Slack to react with all your Slack emojis, too.\n\nIf you use loom today, this is an easy drop-in replacement. Now available to everyone, it streamlines communication and boosts productivity without paying for another product.\\\n\\\nThe OrgOrg suite now includes go/ links, an all-hands AMA, on-call, branded company new tabs, great employee profiles, an org chart, goals tracking, screen recording, and more is on its way. Let’s make all those internal tools work together better for WAY less.\n\nYou can sign up for a free OrgOrg account today at [orgorg.com](http://orgorg.com).",
        "url": "https://www.ycombinator.com/launches/Mt7-orgorg-screen-recording",
        "votes": 5,
        "created_at": "2025-02-25T00:07:37.549Z"
      },
      {
        "id": 82924,
        "title": "OrgOrg - The Organizational Productivity Suite",
        "tagline": "Stop paying for all those pointwise internal tools",
        "body": "![uploaded image](/media/?type=post&id=82924&key=user_uploads/39282/98481f54-27d9-4673-8d6c-89454b13b5af)\n\n**TLDR;**\n\nWe’re building all the internal operational tools you need to run your company, no matter the size. My first startup (Zenter YC W07), sold to Google and became Google Slides. We changed the way more than a billion people work, and I’m doing it again with OrgOrg. Try it [here](https://orgorg.us).\n\n**The Problem - There are too many SaaS pointwise solutions! Seriously.**\n\nThe world over-rotated to point solutions in SaaS. It’s not unusual to have 20+ minor SaaS products to do various organizational chores. It’s easy to see why this happened because you need different tools at different sizes, but it’s also not what users want. It’s expensive, annoying to manage, and none of them work together to create a better user experience.\n\n**The Solution - OrgOrg!**\n\nOrgOrg draws on 25 years of experience leading high-performing teams from founding to big tech. We're building a suite with all the internal SaaS tools that you need for each stage of your company. You save money, time, and they all work together nicely.\n\nFor early stage companies, [Go links](https://orgorg.us/apps/shortlinks), “Big Rock” [Goal tracking](https://orgorg.us/goals), and branded [New browser tabs](https://orgorg.us/apps/new-tab) (with countdowns to your next milestone — like Demo Day) are great ways to stay focused and efficient. For larger teams, add in [Profiles with personality](https://orgorg.us/apps/peopleprofiles), [Smart Groups](https://orgorg.us/apps/rosters) (eg, add all engineers to the #eng channel & eng@ group), [All Hands Q&A](https://orgorg.us/apps/qa), and smart [On-Call management](https://orgorg.us/apps/on-call) to fight the problems that come with the complexity of larger teams. Our roadmap is full of high utility internal apps and tools that build on each to help you run your company better. No matter the size of your org, you can be confident that the right internal tools will be in place when you need them.\n\nJust as no one buys Google Slides alone, buying just an All-Hands Q&A product isn’t enough. OrgOrg’s suite offers significantly more value than the sum of the parts of existing pointwise solutions. At $5/person/month, it's easy to get started and join over 400 organizations already using OrgOrg today.\n\n**Asks**\n\nWant your team to move faster at every size? [Sign up for OrgOrg and give it a try](https://orgorg.us).\n\nHave an internal app you’ve used before that you wish you could have at your company? Let me know at [wayne@orgorg.us](mailto:wayne@orgorg.us).",
        "url": "https://www.ycombinator.com/launches/LZU-orgorg-the-organizational-productivity-suite",
        "votes": 57,
        "created_at": "2024-08-11T18:00:46.391Z"
      }
    ]
  },
  {
    "id": 29972,
    "name": "Affil.ai",
    "slug": "affil-ai",
    "former_names": [
      "Awardington",
      "Affil"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afaac0ba9fea3d823a798e81e6b89e28c34dbd0e.png",
    "website": "https://affil.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build AI compliance for external marketing. For example, we work with major creators to ensure that their content meets credit card marketing guidelines.",
    "one_liner": "AI Affiliate Network For Financial Companies",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1724004001,
    "tags": [
      "SaaS",
      "B2B",
      "Compliance",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "We help companies like [NextCard](https://nextcard.com/) ensure their content is up to date & compliant so that they can scale their marketing effortlessly. Compliance can be a significant blocker to growth and we help derisk a lot of the steps along the way."
      }
    ],
    "url": "https://www.ycombinator.com/companies/affil-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/affil-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/affilai",
    "x_url": "",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/afaac0ba9fea3d823a798e81e6b89e28c34dbd0e.png",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 723194,
        "full_name": "John Ta",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Affil.ai. Previously: Strategy at Accenture, Growth at Roame (YC S23), M&A IBD at Leerink. Biophysics & Biochemistry major, UPenn",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/johnta2000/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c4cab8380f042eeacfc51eea7b80c647c96fc5b.jpg"
      },
      {
        "user_id": 912685,
        "full_name": "Vivek Olumbe",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Affil.ai: AI-powered affiliate network for financial companies",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vivek-olumbe/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d14d39ad598c480b2a958ec07e918abb4bd800d.jpg"
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    ],
    "jobs": [],
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    "launches": [
      {
        "id": 83537,
        "title": "🤖 Affil: AI Compliance for Financial Affiliate Marketing",
        "tagline": "Enabling financial brands to expand marketing efforts & maximize revenue.",
        "body": "**TLDR;** Financial affiliate programs struggle to ensure affiliates are compliant with brand guidelines, leading to limited growth opportunities. [Affil](https://affil.ai/) monitors affiliate content, enabling companies to expand marketing efforts and maximize revenue.\n\n_What is financial affiliate marketing?_ When you see content by The Points Guy or Forbes that talks about credit cards, checking accounts, etc, they get a kickback from the financial brand for anyone who successfully applies for the product.\n\n### ⚠️ The Problem\n\nFinancial institutions (e.g., Capital One) or consumer fintech companies (e.g., Acorns) want to grow their affiliate programs but are completely blocked by compliance barriers. However, it’s expensive and time-intensive to do manual affiliate compliance & management.\n\nOn the flip side, affiliates are also dissatisfied with these financial affiliate programs. The majority have to work with disorganized & outdated middlemen hired by financial brands who take a significant cut of payouts.\n\n### 🛠️ The Solution\n\nOur AI compliance software monitors affiliate content so that financial companies know exactly what’s being said about them so that they can expand their marketing efforts:\n\n* Track thousands of affiliate pages \n* Quickly identify compliance violations without needing human intervention\n* Create support tickets for every issue, so affiliates & brands can keep track of errors\n\nWe’re also improving the affiliate experience:\n\n* Offer higher payouts for conversions (since we have a lower cost structure)\n* Provide a beautiful user experience & working APIs\n* Proactively identify compliance risks & offer automated suggestions to minimize risk\n\nFor example (see below), the AMEX Gold Card underwent significant changes on July 27, 2024, but outdated affiliate content still exists on the internet (that’s not good). We caught this issue that both AMEX and Bankrate missed.\n\n![uploaded image](/media/?type=post&id=83537&key=user_uploads/723194/ba92939d-54dd-48e3-96e2-92f6fd687240)\n\nThe big vision is to become the affiliate network that powers all financial institutions out there.\n\n### 🧍‍♂️Our Team\n\n![uploaded image](/media/?type=post&id=83537&key=user_uploads/723194/876b50d9-2679-48a5-a7ae-e4623f56d47a)\n\n[Vivek](https://www.linkedin.com/in/vivek-olumbe/) & [John](https://www.linkedin.com/in/johnta2000/) first met at Penn and cofounded the first personal finance nonprofit at 8 different colleges, accumulating 2.5k+ users and $25k+ in funding. Vivek is a full stack developer who worked for several startups shipping new products; John was previously in banking, strategy, and growth roles.\n\nAfter managing affiliate relationships in a prior role & being involved with credit cards for years (fun fact: he has 30 cards), John realized the financial affiliate marketing space was broken. \n\n### 🤝 Our Ask\n\n* **Leads:** Know anyone at a consumer finance company or publishers/content creators that write about credit cards/use affiliate links? We’d love an intro! \n* **Banking:** We are having particular struggles getting in contact with some of the key stakeholders at some of the major banks (think Chase, Wells Fargo, USAA…), so if you can make any warm intros to folks on the consumer banking side, I’ll buy you dinner!\n\nContact: founders@affil.ai",
        "url": "https://www.ycombinator.com/launches/LjN-affil-ai-compliance-for-financial-affiliate-marketing",
        "votes": 20,
        "created_at": "2024-08-28T14:35:12.697Z"
      },
      {
        "id": 83176,
        "title": "Affil - AI Affiliate Marketer 🤝",
        "tagline": "Launch & scale affiliate programs with ease",
        "body": "**TLDR;** Our AI Affiliate Marketer helps companies launch & scale affiliate programs at a fraction of the cost.\n\n**⛔️ The Problem**\n\nRunning a successful affiliate program is hard. Some common challenges brands face:\n\n1. Competing with thousands of other brands on networks like Impact, CJ, or Awin\n2. Reaching out to (many) content creators\n3. Vetting affiliates to avoid spam and fraud\n4. Ensuring affiliates follow brand guidelines, especially in regulated industries like financial services\n5. Managing a growing number of affiliate relationships\n\nThese inefficiencies lead to poor experiences for content creators, who can struggle to monetize their work or feel ignored by brands. Currently, the most common solution is to hire an agency or full-time staff, but that’s expensive.\n\n**🛠️ The Solution**\n\nOur AI-powered affiliate marketer can integrate into any stage of a company’s affiliate marketing journey:\n\n* Identify relevant content creators\n* Handle affiliate outreach, contracting, & onboarding \n* Monitor affiliate content to ensure it meets brand & compliance guidelines\n* Manage affiliate communications\n\n \n\n<https://youtu.be/_Bb67gOIN_c>\n\nWe merge compliance & auditing directly into the affiliate marketing lifecycle:\n\n<https://youtu.be/GC3k8xox7Ik>\n\nDon’t have an affiliate program set up yet? No worries—we’ll get that up and running for you. \n\nDo you have an affiliate program set up in-house or on Impact, CJ, Awin, or elsewhere? We can build on top of them to help grow your program (or we’ll help you migrate your existing program to our network).\n\n**🤝 Our Ask**\n\n* **Demo:** [Book a chat](https://calendly.com/john-affil/30min) & see if we can help you with your affiliate program needs.\n* **Leads:** Know anyone with an affiliate program? Put us in touch!\n* **Banking:** Have connections at major banks like Chase, Citi, or BOFA? We’re aiming to become a financial affiliate network and need help reaching key stakeholders.\n\nBlurb: Affil is building an AI affiliate marketer that can help you launch & scale your affiliate program, with compliance and monitoring built in. Contact [john@affil.ai](https://john@affil.ai) to see a demo from the founders.\n\n**🧍‍♂️Our Team**\n\nHi! We’re [John](https://www.linkedin.com/in/johnta2000/) & [Vivek](https://www.linkedin.com/in/vivek-olumbe/)— we cofounded a nonprofit together at Penn (2.5k+ members). Vivek is a full-stack developer who worked for several startups shipping new products; John was in strategy, banking, and growth roles and uncovered the outdated affiliate marketing space in his previous position.\n\n![uploaded image](/media/?type=post&id=83176&key=user_uploads/723194/c67620a4-5a7a-44fd-b2ec-aa8cd73db332)\n\n",
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    "long_description": "Arva AI is a Google backed research company deploying AI Agents for critical banking operations with industry-leading accuracy, from financial crime compliance to lending. Combining proprietary models with adaptive decisioning infrastructure, Arva enables large banks and financial institutions to automate high-risk decisions with greater consistency, effectiveness and control. Always hiring.",
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    "team_size": 20,
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        "full_name": "Rhim Shah",
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        "role_type": "Full stack",
        "salary_range": "£70K - £110K GBP",
        "equity_range": "0.10% - 0.30%",
        "experience": "3+ years",
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        "type": "Full-time",
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        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/arva-ai/jobs/XlzAjf0-enterprise-account-executive",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "$150K - $230K",
        "equity_range": "0.10% - 0.25%",
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        "title": "Head of Research",
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        "role_type": "Engineering manager",
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        "title": "Arva AI secures $3m in Google-led funding to enhance KYB and AML automation - FinTech Global",
        "url": "https://fintech.global/2025/01/16/arva-ai-secures-3m-in-google-led-funding-to-enhance-kyb-and-aml-automation/",
        "date": "Jan 16, 2025"
      },
      {
        "title": "\tGoogle's early-stage AI fund invests in KYB verification startup Arva AI",
        "url": "https://www.finextra.com/newsarticle/45323/google-fund-invests-in-kyb-verification-startup-arva-ai",
        "date": "Jan 16, 2025"
      },
      {
        "title": "KYB verification startup Arva AI raises $3M",
        "url": "https://www.axios.com/pro/fintech-deals/2025/01/14/kyb-verification-startup-arva-ai-3-million",
        "date": "Jan 14, 2025"
      },
      {
        "title": "Arva AI demos at Finovate main stage",
        "url": "https://www.businesswire.com/news/home/20250114118015/en/Finovate-Announces-First-Wave-of-Demo-Companies-for-FinovateEurope-2025",
        "date": "Jan 12, 2025"
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        "id": 82926,
        "title": "Arva AI — AI agents for instant global KYB onboarding",
        "tagline": "We make onboarding onto a bank/fintech as a business 100x faster and significantly cheaper.",
        "body": "# **✨ TL;DR**\n\n[Arva AI](https://arva-ai.com) ([LinkedIn](https://www.linkedin.com/company/arva-ai/)) makes onboarding onto a bank/fintech as a business 100x faster and significantly cheaper. We've built a highly compliant AI agent that instantly handles all low/medium risk manual KYB work in real-time as a customer is onboarding, cutting reviews to seconds and ops spend by 80%.\n\n# **❌ The Problem**\n\nWhen a business onboards with a bank or fintech, a human analyst has to conduct manual verification over 40% of the time.\n\n**Why is this human review stage a problem?**\n\n* Longer onboarding times cause drop-off from the onboarding funnel (in some cases, up to 50%!). This is a huge revenue loser.\n* Large operational overheads to run compliance teams— usually in the millions for large fintechs.\n* Humans make mistakes and deviate from procedure.\n\n# **💡 Enter Arva AI**\n\nArva AI’s agents completely replace human analysts, resulting in instant onboarding for low/medium-risk cases. Arva is a modular solution that can combine with preexisting compliance stacks or completely replace them as an end-to-end platform.\n\nArva is capable of conducting advanced web due diligence on a business entity, document verification, fraudster checking, handling the back and forth with customers, and much more.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/684e6818-ad6c-4495-8ae3-876bda10813a)\n\n**See it in action**\n\n<https://www.loom.com/share/d956b4139f6646649fe0d518caad3386?sid=3b47393f-3078-46b4-8e7a-2d1502a8e702>\n\n# **🙏 Asks**\n\nIf you’re a fintech who has to conduct KYB onboarding, we’d love to discuss how we can make your onboarding times 100x faster and save you a bunch of money in the process. Book a demo [here](https://calendar.app.google/tBcxQvpgYmeymkveA), or drop us an email: [rhim@arva-ai.com](mailto:rhim@arva-ai.com). Or if you’re connected to the fintech space and there is someone you can introduce us to, please reach out!\n\n# **🦸 The team**\n\nWe’re Rhim (Oxford MEng) and Oli (Cambridge BSc), and we’ve been building products together for a while!\n\n* [Rhim](https://www.linkedin.com/in/rhim-shah/) (CEO) formerly led the FinCrime product team at Revolut Business, where he saw the extent of the manual workload during business onboarding. He also led multiple product teams at Jobandtalent. Prior to that, he was an APM intern at Google.\n* [Oli](https://www.linkedin.com/in/oliverfwales/) (CTO) was formerly the lead product engineer at Opvia (YC S20). Before that, he was a full-stack engineer at Iventis, Chimnie, and The Trade Desk.\n\n![uploaded image](/media/?type=post&id=82926&key=user_uploads/527003/ff6e2714-bf7a-4743-983d-94ef0a4f7ce6)\n\n",
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        "full_name": "Ayantika Dey",
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        "founder_bio": "IIT Computer Science grad. Early engineer at Rippling. Now tackling construction industry pain points head-on with Merlin.",
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        "full_name": "Kumar Siddhartha",
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        "title": "MerlinAI: AI-powered ERP for construction 🏗️",
        "tagline": "Automate your construction workflows with our unified, all-in-one, AI-powered platform.",
        "body": "**Tl;dr** - We offer construction companies a single, AI-powered platform to streamline their entire business operations. From sales, estimating, project management, and materials management to finance, estimating, and CRM, our platform unifies these essential functions—traditionally spread across multiple systems—into one cohesive solution.\n\n---\n\n—\n\n👷‍♂️👷‍♀️🔧🚧👷‍♂️ Hi everyone, This is Sneha, KS, and Ayantika from Team MerlinAI!\n\n[KS](https://linkedin.com/in/kumar-siddhartha-44847516), a BITS Pilani grad and successful startup co-founder, and [Ayantika](https://linkedin.com/in/ayantika-dey-b8155b76), an IIT alumna and tech expert, bring extensive coding and product development expertise together, bringing about over a decade of technical expertise. [Sneha](https://linkedin.com/in/snehakumari), with over a decade of experience in supply chain management and lean manufacturing within the construction industry, has lived the pain of using ERPs in this industry.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/154e02ac-146c-468f-926b-3c1d759cdb6f)\n\n🚧 **Problem**: Construction companies today juggle 8-17 different software tools—Merlin AI eliminates that complexity. For the first time, firms can automate and manage every aspect of their projects within a single, intuitive system.\n\n🛠️ **Solution**: Merlin AI empowers modular and manufactured home builders with an advanced, AI-driven platform that integrates estimating, materials management, finance, project management, and CRM. Say goodbye to fragmented systems and hello to streamlined efficiency.\n\n<https://www.youtube.com/watch?v=hsk_ZvI40JI>\n\n📌🔨Merlin helps companies reduce\n\n* Manual work by 60%\n* Cut software costs by $10,000 monthly\n* Complete construction projects 3x faster.\n\n![uploaded image](/media/?type=post&id=83343&key=user_uploads/658785/f6c4ffb8-3a32-4862-a52d-cd835ecfbcec)\n\n💰💰 **Opportunity**: \n\nWe're witnessing a perfect storm of factors: decades of stagnation in traditional ERP systems, a multi-billion-dollar industry built on misaligned incentives, and the transformative potential of AI. This confluence creates a rare cyclical opportunity for market upheaval. The last major shift in this space occurred in the 1990s with the advent of digital systems, and now, 30 years later, we're on the cusp of another seismic change. Customers are crying out for innovation, and as AI reshapes the landscape, early customer signals indicate an eagerness for smarter, more efficient systems. It's a unique window of opportunity that opens perhaps once in a multi-decade chance to redefine an entire industry's operational backbone.\n\n✨ **Our Ask**\n\nLeads: If you know of a construction company, offsite manufacturer, factory, builder, developer, or design firm wanting to improve their construction integration and project management, please send them to [snehak@merlinai.co](https://snehak@merlinai.co)\n\n📝 **Mention Us**: If you like what you see, share the love! Mention us in Slack groups, social media, or any community where construction companies, offsite builders, or startup founders gather.",
        "url": "https://www.ycombinator.com/launches/LgF-merlinai-ai-powered-erp-for-construction",
        "votes": 69,
        "created_at": "2024-08-23T17:38:49.272Z"
      }
    ]
  },
  {
    "id": 29983,
    "name": "PathPilot",
    "slug": "pathpilot",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75c7444d35c6b426ac80829e6ed40b07d33577d.png",
    "website": "https://www.getpathpilot.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, onboarding, servicing, and collections still depend on large human teams — which means operations scale linearly with loan volume. PathPilot deploys specialized AI agents that handle 60–80% of high-volume operational workflows, turning human-heavy processes into scalable software. These agents operate alongside internal teams — embedded directly into existing systems. This allows lenders to grow loan volume and revenue without proportional headcount growth. ",
    "one_liner": "AI Agents for Lending Operations",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1724891975,
    "tags": [
      "Finance",
      "B2B",
      "Lending",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/pathpilot",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/pathpilot.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getpathpilot",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75c7444d35c6b426ac80829e6ed40b07d33577d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 254075,
        "full_name": "Victor Laguna",
        "title": "Founder/CTO",
        "founder_bio": "Founder of PathPilot. Engineer with vast experience growing software products.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vlaguna/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10fb6a951e54fa676974095d66e07580fc2e7b57.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 105486,
        "title": "PathPilot - AI Platform for Lenders",
        "tagline": "AI agents that help lenders grow without scaling operational headcount.",
        "body": "Today, we’re launching PathPilot Agents for Lending: specialized AI agents that help consumer lenders automate origination, servicing, collections, and quality on their operations.\n\n## The problem\n\nConsumer lenders need to grow, but lending operations are still expensive, manual, and dependent on large internal teams and external vendors.\n\nBorrowers are often asked to submit the same information multiple times, wait for manual reviews, and navigate disconnected processes across origination, servicing, and collections.\n\nFor lenders, this means higher operating costs, slower decisions, inconsistent customer experiences, and difficulty scaling without adding more headcount.\n\nCurrent AI solutions are not enough. Without specialization, guardrails, and the right operational context, agent quality breaks down—especially in regulated, customer-facing workflows.\n\n## What we built\n\nPathPilot builds specialized AI agents for lending operations, powered by a proprietary harness that connects AI models directly to each lender’s workflows, systems, policies, and data.\n\nIt starts with the **Origination Agent**, which guides borrowers through WhatsApp or web forms, collects the right information, pre-verifies documents, and connects with underwriting, identity, and fraud systems to support faster decisions.\n\nOnce the loan is active, the **Servicing Agent** helps customers with payments, balances, questions, and account updates across voice, WhatsApp, chat, and email.\n\nWhen a payment is missed, the **Collections Agent** follows up compliantly, keeps full conversation and account context, connects with call center and CRM systems, and negotiates next steps to drive resolution.\n\nBehind every workflow, the **Audit and Quality Agent** reviews every interaction and action, identifies quality or compliance risks, and provides actionable feedback that helps both human teams and AI agents improve continuously.\n\n<https://www.youtube.com/watch?v=aAQ1mLB-qPo>\n\n## One agent or a coordinated workforce\n\nLenders can start with a single agent for one workflow or deploy a coordinated workforce of agents that work together and share context.\n\nFor example, the Origination Agent can pass a customer’s application history to the Servicing Agent. If the account later becomes delinquent, the Collections Agent can use the same operational context rather than starting the relationship from zero.\n\nThe Audit and Quality Agent works across the entire system, creating a continuous feedback loop that improves accuracy, customer experience, and compliance.\n\nBecause PathPilot is built on a modular framework, internal AI and engineering teams can extend, customize, and ultimately own the system as their capabilities grow.\n\nWe do not want lenders to become permanently dependent on another black-box vendor. We want to give them a reliable foundation for building and operating their own AI workforce.\n\n## Why we built this\n\nThe problem became personal when I tried to finance my first car after moving to the U.S.\n\nI had no local credit history and very little understanding of how the process worked. I went through a long and frustrating process in which multiple lenders manually reviewed my application, repeatedly requested information, and ultimately offered me a loan with very high fees.\n\nToday, as a real estate investor, I still experience many of the same problems when applying for a mortgage or refinancing a property. The process remains slow, repetitive, and difficult to navigate—even when you understand how lending works.\n\nThere needs to be a better way.\n\nBefore PathPilot, David and I spent years building and operating AI first products at Meta. We learned that making AI work reliably in production requires much more than choosing a model. It requires integrations, evaluations, guardrails, feedback loops, and deep operational context.\n\nWe started PathPilot to bring that infrastructure to lending—so lenders can operate more efficiently and borrowers can receive a faster, clearer, and more responsive experience.\n\n## Where we are today\n\nPathPilot agents are already supporting fintech lenders, BNPLs, embedded lending platforms, and collections organizations across the U.S. and Latin America.\n\nOur customers use PathPilot for workflows including conversational origination, document validation, servicing, collections, and quality assurance.\n\n## Our ask\n\nWe would love to speak with:\n\n* Consumer lenders, BNPLs, neobanks, and embedded lending companies\n* Operations, servicing, collections, risk, and compliance leaders\n* Lending platforms interested in offering specialized AI agents to their customers\n* Internal AI teams looking for a framework they can customize and eventually own\n\nBook a demo at [getpathpilot.com](http://getpathpilot.com).",
        "url": "https://www.ycombinator.com/launches/RRO-pathpilot-ai-platform-for-lenders",
        "votes": 10,
        "created_at": "2026-07-13T16:26:42.554Z"
      },
      {
        "id": 83625,
        "title": "PathPilot: The AI model that understands session replay data",
        "tagline": "Use our API to make your session replays useful",
        "body": "At [PathPilot](https://www.getpathpilot.com/), we are building an AI model (called UXOB) that accurately captures how users interact with software products. We are now making UXOB available via API to a select group of early partners. Email [founders@getpathpilot.com](https://mailto:founders@getpathpilot.com) or [schedule a call](https://calendly.com/vlad-getpathpilot/30min) if you are interested in learning more. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/0f538406-78a1-4406-a6bd-02bb499271ab)\n\n### What is it?\n\nUXOB is an AI model that ingests session replay files and generates user session data like narratives, summaries, tags, and alerts. \n\n![uploaded image](/media/?type=post&id=83625&key=user_uploads/707937/08220806-5300-45a6-b804-ef709e81b744)\n\n### Why are we building UXOB?\n\nMost session replays end up unused, despite containing invaluable information about user experiences. UXOB helps companies unlock the hidden potential of their user experience data to power new features and automation. \n\n### Who did we build UXOB for?\n\nUXOB is built for companies that offer session replays as part of their platform. Our API is designed to be compatible with rrweb-based providers, and we are expanding to other formats. We also support companies with an existing session replay provider that want to build custom automations or features based on their user journeys. \n\n### How do you get started?\n\nWe’re opening up UXOB to a select group of early partners. If you’re interested in incorporating AI-driven session replay observation into your product offering or internal workflows, get in touch with us at [founders@getpathpilot.com](mailto:founders@getpathpilot.com) or [book a time](https://calendly.com/vlad-getpathpilot/30min). \\\nThank you!\n\nVlad and Victor",
        "url": "https://www.ycombinator.com/launches/Lkn-pathpilot-the-ai-model-that-understands-session-replay-data",
        "votes": 58,
        "created_at": "2024-08-30T19:19:31.594Z"
      }
    ]
  },
  {
    "id": 30017,
    "name": "Riveter",
    "slug": "riveter",
    "former_names": [
      "Nervy",
      "Haze AI",
      "Lassen AI",
      "Riveter AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.png",
    "website": "https://www.riveterhq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Riveter fully automates web data extraction, end to end. With a single API, agents can search, scrape, and structure data from the web. \r\n\r\nCustomers like Snapchat and OpenAI use us to enrich datasets using Riveter's AI search agents that combine data from the web with third party or internal data.  \r\n\r\nTheir AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. \r\n\r\nYou can even create a custom data API for repeated searches live in your app or internal databases. \r\n\r\nPerplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell.\r\n\r\nAnd Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. \r\n\r\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. Or they spend months building web scrapers, and when that still doesn't work, they come to Riveter.\r\n\r\nOur founding team (Cody Watters - CTO, Abby Grills, CEO) brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk. ",
    "one_liner": "Turn the web into structured data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1731038423,
    "tags": [
      "B2B",
      "E-commerce",
      "Market Research",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/riveter",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/riveter.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/riveter-hq/",
    "x_url": "https://x.com/riveterhq",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba11fcc185e7540e26d2fc388417c1e4c6dfad61.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 2203245,
        "full_name": "Abigail Grills",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Riveter AI | Previously: Middesk, Gusto\nI have 10 years of product experience, including joining Gusto as an early PM and growing to lead Mid-Market Payroll. I've lead a number of 0 to 1 products including Gusto Time Tracking, State Payroll Tax Registration, and most recently, Address Risk at Middesk. I began my career at early stage consumer electronics startups, where I learned to wear many hats and fill gaps to make sure the job gets done.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abigailgrills/",
        "x_url": "https://x.com/AGrillz",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f383b1581d8d122b99830f5acd622903497c250.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 99741,
        "title": "Riveter - Turn any prompt into a fully enriched dataset",
        "tagline": "The web has the data you need. We build the list.",
        "body": "Hey everyone! 👋\n\nWe're Abby and Cody, co-founders of [Riveter](https://riveterhq.com/) (F24). We both did 5+ years at Gusto, followed by Middesk and Retool, and watched the same painful problem play out across eng, data, ops, and growth teams: the information you need exists online, but getting it into a structured, usable dataset is brutally hard.\n\n**TL;DR: Write a prompt. Riveter builds the list and enriches it -- scraped live from the web. No stale databases, no stitching tools together.**\n\nTeams at OpenAI, Snap, and Fermat are already using Riveter to build datasets they couldn't justify building manually.\n\n**Ask:** We'd love to show you what Riveter can do for your use case. [Book 20 minutes with us](https://riveterhq.com/demo) and we'll give you 1,000 free credits to explore the platform.\n\n<https://youtu.be/KH0IELrOtLs>\n\n---\n\n**❌ The Problem**\n\nAlmost any list you could ever need can be derived from the web. Every law firm in California. Every vet practice by state. Every competitor's pricing page. The information is out there.\n\nThe problem is getting it out.\n\nCurrent options all hit the same wall:\n\n* **Data vendors** sell you records from a static index -- outdated the moment you buy them, and missing anything outside their database\n* **Clay and Parallel** pull from the same stale indexes. When we asked both to return all YC Winter 2026 companies, Parallel returned an incomplete dataset at a way higher cost. Clay returned \"Y Combinator\" as a company, along with results from other batches.\n* **ChatGPT and Claude** can reason about the web but can't handle the scale -- you can't ask an LLM to return thousands of enriched records reliably\n\nThe result: teams buy incomplete data, spend weeks building it manually, or go without.\n\n---\n\n**✅ Our Solution**\n\nRiveter agents navigate the web the way a researcher would -- running searches, visiting pages, reading results -- and return a fully structured, enriched dataset.\n\nWrite one prompt. Get thousands of rows.\n\n![uploaded image](/media/?type=post&id=99741&key=user_uploads/2203245/0293cc39-8404-4d03-bf11-2da4ad628033)\n\n\\\nDescribe what you want: _\"Return every dental practice in San Francisco, the dentists at each practice, and their contact details\"_\n\n1. Riveter agents search the web, visit pages, and compile the list -- live, not from a cached index\n2. Custom enrichments get layered on: lead scores, pricing data, contact info, whatever your workflow needs\n3. The result lands as a structured dataset, ready to use or pipe into your existing tools\n\nNo code required. Use it in-app, via API, or through our MCP server.\n\n---\n\n**🔍 Use Cases**\n\n**Sales and lead generation:** Find hyper-specific lists no vendor has pre-built. Every locksmith in the US. Every independent law firm in California. Every vet practice by state. Add enrichments in Riveter to qualify, score, and route them into your outreach.\n\n**Product data:** School logos, all attorneys at every AmLaw 100 firm, every menu item at every restaurant chain in a market. If it's on the web, Riveter can build it.\n\n**Market intelligence:** Track competitors and their pricing on a daily or weekly cadence. Especially common for e-commerce teams who need to move fast when something shifts.\n\n---\n\n**🙏 Our Ask**\n\n* [**Book 20 minutes with us**](https://riveterhq.com/demo) - tell us what you're building and we'll set up your first dataset together, plus 1,000 free credits on us\n* **Try it yourself** at [riveterhq.com](http://riveterhq.com) - free to get started [in-app](https://auth.riveterhq.com/sign-up), [via API](https://docs.riveterhq.com/), or [MCP.](https://docs.riveterhq.com/#description/mcp-server)\n* **Know a team** paying too much for stale data or drowning in manual research? Send this their way.\n\n---\n\n**👋 The Team**\n\n**Abby Grills (CEO)** - Previously at Gusto and Middesk across product and data workflows. Riveter is the tool she kept wishing existed.\n\n**Cody Watters (CTO)** - Previously at Gusto and Retool. Watched too much engineering time disappear into one-off data pipelines that should have been solved at the platform level.\n\nWe built Riveter because we kept hitting the same wall: the data we needed was obviously on the web, and there was no good way to get it out at scale.",
        "url": "https://www.ycombinator.com/launches/Pwj-riveter-turn-any-prompt-into-a-fully-enriched-dataset",
        "votes": 22,
        "created_at": "2026-04-14T17:34:17.075Z"
      },
      {
        "id": 94809,
        "title": "🚀 Riveter API: Replace your entire scraper infrastructure with a single API",
        "tagline": "Power your product with real data from the web.",
        "body": "We’re excited to launch our most requested feature: the **Riveter API**.\n\nWeb data is one of the biggest unlocks for what’s now possible with AI. But retrieving and structuring that data for your product or agents is far more complicated than it should be.\n\n---\n\n### **The Problem**\n\nYou need data from the web to equip your agents with more information or pipe structured data directly into your product.\n\nBut when it comes to web scraping, the gap between _idea_ and _working solution_ is huge.\n\n* What starts as **“just a simple scraper” often turns into a patchwork of 5+ vendors** (SERP providers, proxy networks, headless browsers, scraper libraries, and infrastructure) leading to weeks or months of engineering effort.\n* Timelines creep, **engineering costs rise, and maintaining scrapers becomes an ongoing burden**. All of this distracts your team from building your _core product._\n\nhttps://youtu.be/1pFXQJExRGw\n\n---\n\n### **The Solution**\n\n**Riveter** is the all-in-one web search agent. Configuration is simple — your team defines what data they need, and Riveter handles everything else.\n\n* **Prompt-based configuration, tool selection, and custom formatting.** Tell Riveter what you need via a prompt, then select tools like web search, scraper, PDF reader, or image reader.\n* **Everything built in.** SERP/search, proprietary scrapers, proxy management, and browser infrastructure are fully integrated, so you don’t have to build or connect multiple systems.\n* **Structured, consistent output.** Apply custom tags or enums, specify date formats, or define JSON objects to get clean, predictable results every time.\n\nThe API routes data directly into your app — giving you real, grounded web data with minimal engineering overhead.\n\n### **How It Works**\n\nYou can either **create a project in Riveter** to reference in your API request, or **configure all input and output fields directly in the API call.**\n\n#### **Option 1: Creating an API request from a Riveter project**\n\nCreating a project allows you to test and refine prompts and formatting before fetching data via the API.\n\n**Best for:**\n\n* Running recurring or long-term data collection\n* Quickly testing and iterating on prompts and tools\n* Structuring data that needs to be ingested by code\n\n#### **Option 2: Configuring input/output fields directly in the API request**\n\nOn-the-fly configuration gives you the flexibility to change columns and prompts dynamically based on your inputs.\n\n**Best for:**\n\n* Giving AI agents access to create their own Riveter requests\n* Handling variable outputs - e.g., running an initial request with Riveter, then defining attributes to evaluate your product or dataset on\n\n### **Getting Started**\n\nWe can’t wait to see what you build with Riveter!\n\nHead to[ ](https://riveterhq.com?utm_source=chatgpt.com)[**riveterhq.com**](http://riveterhq.com) and click **Get Started** — your first 500 searches are free!\n\nNeed a hand?[ Grab time here](https://riveterhq.com/contact?utm_source=chatgpt.com) and we’ll help you get set up.",
        "url": "https://www.ycombinator.com/launches/OfB-riveter-api-replace-your-entire-scraper-infrastructure-with-a-single-api",
        "votes": 14,
        "created_at": "2025-10-21T20:14:19.297Z"
      },
      {
        "id": 93370,
        "title": "Riveter ⚡ Thousands of AI search agents running in parallel",
        "tagline": "Riveter automates web research for every row in your spreadsheet with just a prompt.",
        "body": "We built Riveter because manual research sucks. And the slow, tedious process of collecting information from the internet takes people’s time away from doing great work.\n\n# **Why Riveter is great:**\n\n* We **simplified browser use to allow cheap web crawling** to be done at scale. \n* Our agent can make Google searches, view web pages, read PDFs and images, and **navigate to other pages** that might have better results. \n* It’s fast.\n* We give you sources, reasoning, and a record of the path the agent took to find the answer.\n* You’ll start seeing results within minutes of signing up.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n#### https://youtu.be/oNSfKnLv-s4\n\n# **Why it matters:**\n\nMost teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. \n\nPerplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell.\n\nAnd Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. \n\nWith Riveter, anyone can automate complex, auditable web research… without coding. \n\n#### \n\n# **How it works:**\n\n1. Upload your dataset (or prompt for Riveter to search & build you a dataset)\n2. Add a prompt for the new column\n3. Riveter’s agents search, navigate sites, read PDFs/images, and return structured outputs — with sources and reasoning for every cell.\n\n# **Traction:**\n\n* **2M+ searches automated** across customers\n* **Snap and Pietra** use Riveter for data that powers core product features\n* **Sunco** automated most of their product development research and supplier sourcing\n\n# **Who uses Riveter:**\n\n* **E-commerce:** Product specs, pricing, retailer research\n* **Sales/GTM:** Lead enrichment, market research, prospect discovery\n* **Finance:** Revenue announcements, SEC filings, fundraising data\n* **Risk/Compliance:** KYC/KYB checks, ownership verification, negative news screening\n* **Procurement:** Supplier research, competitive analysis\n\n# **About us:**\n\nCody Watters (Staff Engineer at Gusto → AI products at Retool) and Abby Grills (Mid-Market Payroll lead at Gusto → Product at Middesk) have a combined 20 years of experience building complex data systems.\n\n### **Try Riveter**\n\n**Free trial:** https://riveterhq.com\n\n**Book a demo:** https://riveterhq.com/contact\n\nIf your team does repetitive web research or builds fragile scrapers, we'd love your feedback on workflow templates and integrations.\n\n![uploaded image](/media/?type=post&id=93370&key=user_uploads/2203245/f392ac8e-5d55-405f-8d74-e8b7128f7633)\n\n---",
        "url": "https://www.ycombinator.com/launches/OHy-riveter-thousands-of-ai-search-agents-running-in-parallel",
        "votes": 45,
        "created_at": "2025-08-27T20:15:28.319Z"
      },
      {
        "id": 87785,
        "title": "Riveter - AI data assistant for spreadsheets",
        "tagline": "Clean, label, and enrich thousands of rows of data in minutes with ChatGPT-like prompts",
        "body": "#### TL;DR ✨\n\nWith [Riveter](https://www.riveterhq.com/), you can automate data analysis in minutes—no complex setup needed. Just upload a spreadsheet, and Riveter handles the rest. ⚡\n\n✅ Search the web for answers\\\n✅ Clean & structure messy data\\\n✅ Label & categorize data instantly\\\n✅ Answer qualitative questions\n\nProduct, Ops, and GTM teams use Riveter for competitive research, pricing analysis, customer insights, analyzing channel partners, and more.\n\n<https://youtu.be/sJ4AcwTjzqo>\n\n#### The Problem: ⏰ Time wasted on manual data work\n\nCompanies spend countless hours on manual data work. Marketing teams spend $10k+ on incomplete datasets. Ops teams wait months for engineering support to build features that reduce manual data work. While ChatGPT helps with single queries, it breaks down with large datasets (and typically can’t make it past \\~10 rows). \n\nWe've seen teams spend:\n\n* 10+ hours/month on competitive research and market/pricing analysis–especially in consumer goods\n* 40+ hours per conference or event cleaning attendee data\n* Months waiting for engineering resources to analyze user segments\n\n#### The Solution: 🤖 Automate your data workflows in minutes\n\nRiveter brings AI-powered data enrichment to your spreadsheets. Upload any CSV and use natural language prompts to:\n\n**Enrich Data with Web Search** - Write \"find the industry for each company\" and Riveter automatically searches the web to fill new columns with accurate data.\n\n**Clean & Structure Data** - Transform messy data into consistent formats without complex Excel formulas. Simply describe what you need: \"Check the spelling and formatting of each company name. Return the correct spelling and format.\"\n\n**Analyze & Label at Scale** - Process thousands of rows in minutes. Label customer feedback, categorize products, or analyze competitors' features using natural language prompts.\n\n![uploaded image](/media/?type=post&id=87785&key=user_uploads/2203245/b36b88c9-51e4-4cfd-b66f-bb9ae3331ad2)\n\n#### Why Customers Choose Riveter 👩🏻‍💻\n\n* No technical setup or engineering required\n* Handles 200,000+ rows of data\n* Automated web search \n* Results in minutes, not days\n* Extremely easy to use\n\n#### About Us 📖\n\nWe’re **former engineers and PMs from Airbnb, Gusto, and Middesk.** We built Riveter because we were tired of:\n\n🔍 Manually labeling data to build fraud & risk products\\\n📝 Labeling endless user feedback\\\n📊 Analyzing competitors’ products—manually\n\nWe now use Riveter daily for tasks like sales, competitive analysis, and conference prep—and we’re excited for you to experience it, too.\n\n#### Get Started 🚀\n\nReady to streamline your data workflow? [Schedule a demo](https://cal.com/team/riveter/riveter-demo) to start your **free trial!**",
        "url": "https://www.ycombinator.com/launches/Mpt-riveter-ai-data-assistant-for-spreadsheets",
        "votes": 32,
        "created_at": "2025-02-18T19:34:00.724Z"
      },
      {
        "id": 85462,
        "title": "Riveter 🔩 The copilot for corporate strategy",
        "tagline": "Skip McKinsey - get expert analysis without the consultants.",
        "body": "**TL;DR:** Riveter is the copilot for corporate strategy. We help growth stage companies like Gusto accelerate strategic decision making, using deep market research and analysis. \n\n#### About us\n\nAbby has 10 years of product experience, including Middesk and Gusto, where she was an early PM and led the Mid-Market Payroll team. Erica has 7 years of experience as a software engineer. She was an early engineer at Middesk, and before that, she was at Airbnb.\\\nWe’ve spent our careers exploring and executing on new product areas and expansion opportunities, and trying to optimize businesses’ results. **We’re building Riveter to help companies make better strategic decisions, faster.**\n\n<https://youtu.be/thmATCmTy5g>\n\n#### The problem\n\nGrowth stage, venture funded companies have two top concerns:\n\n1. How do we maintain growth at scale?\n2. Do our metrics align with public companies for a successful IPO?\n\nTo answer these questions, companies often do the following:\n\n* **Explore adjacent areas for expansion:** A commercial neobank might consider expanding to consumer\n* **Benchmark to similar companies:** Toast might compare their financials to Square's\n* **Track their market share:** A CRM might monitor competitors’ penetration across the market\n\n#### Our insights\n\n* Companies are hiring consulting firms that cost $1M+ and take months to provide a single report, which quickly becomes outdated.\n* Accessing key insights into public companies requires time consuming analysis due to inconsistencies across companies and obfuscation of important information.\n\n#### The solution\n\nRiveter automates the collection and analysis of private and public company data, **so you can focus on making the right strategic decisions, faster.** \n\n#### The product\n\n**The deepest analysis of public companies available**\n\nGet the data you wish Capital IQ gave you.\n\n* Get data on the usage of specific products, customer counts, retention, and more, in addition to standard metrics\n* Review metrics like gross margins, ACV, customer segment, CAC, CAC payback, Rule of 40, and more that have been automatically calculated for you, and are always up to date\n* Understand company-specific language and segmentation\n\n \n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/c283cf5c-4abf-471a-b8c3-b296996a768b)\n\n**Analysis of investor relations documents** \n\nRiveter summarizes key documents and artifacts, and extracts relevant quotes to save you time getting to the information you need.\n\n![uploaded image](/media/?type=post&id=85462&key=user_uploads/2203245/cd59d464-0ec8-436b-a2aa-0a60e031d077)\n\n\n**Search company documents and Riveter data**\n\nLooking to understand how a certain product is performing? Our AI analyst, Peter, allows you to ask specific questions, like how many American Express consumer cardholders there are.\n\n### Our ask\n\nAre you trying to make strategic decisions, but you or your team don’t have the time to perform in-depth analyses? We’d love to help. [Schedule a call with us](https://calendly.com/d/cmp9-ymp-zsy/riveter-demo-launch-yc) to discuss how we can aid in more informed decision making. You can reach out to us at [founders@riveterhq.com](mailto:founders@riveterhq.com).\n\nIf you have connections to any CorpDev or Strategic Finance teams in B2B SaaS, we’d love introductions to learn from them, or see if we can help. ",
        "url": "https://www.ycombinator.com/launches/MEQ-riveter-the-copilot-for-corporate-strategy",
        "votes": 220,
        "created_at": "2024-11-11T20:42:33.180Z"
      }
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    "name": "Galini",
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    "website": "https://www.galini.ai/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Galini guardrails-as-a-service filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for enterprises to create, test, deploy and refine guardrails.\r\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M in costs from avoiding in-house build",
    "one_liner": "Compliance guardrails-as-a-service for AI applications",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1730260242,
    "tags": [
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      "B2B",
      "Compliance",
      "Enterprise",
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    "isHiring": false,
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    "batch": "Fall 2024",
    "status": "Active",
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      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/galini",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/galini.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/galini-ai/",
    "x_url": "",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 2208234,
        "full_name": "Shaun Ayrton",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Galini. Prior to Galini, Shaun was a sr. engagement manager at McKinsey where he drove $500M+ revenue growth for F50 software and telecom companies. He developed the GTM plan from pre launch to $1B in revenue for a conversational AI leader and drove an additional $50M in annual revenue for a regional telco while the industry is declining at 3%, each acquired for ~$20B. He has an MBA from Wharton and a dual degree in computer science and Finance at UPenn (M&T)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaun-ayrton/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07acf3ccfb516ecfe635e309d6f49537649b4803.jpg"
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      {
        "user_id": 1505214,
        "full_name": "Raul Zablah",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO of Galini. Prior to Galini, Raul was a sr. staff engineer at Ridgeline where he built the SRE team from 0 to 10 supporting 10x customer growth in 12 months (reporting to the CTO for a 350 engineer org). Before this, he was the tech lead for the SRE team responsible for $175B AUM investment engine at Bridgewater where he built the team from 0 to 6 and established SRE best practices for an org of 300 engineers. He has a masters in computer science and dual degree from UPenn",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raulzablah",
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    "launches": [
      {
        "id": 85206,
        "title": "Galini - Compliance guardrails for AI applications",
        "tagline": "Ensure AI applications comply with company policies and regulation",
        "body": "Hey everyone, we’re [Shaun](http://www.linkedin.com/in/shaun-ayrton) and [Raul](https://www.linkedin.com/in/raulzablah/) - cofounders of Galini.\n\n# TL;DR\n\nGalini guardrails filter harmful inputs and outputs based on company policies and industry regulations. We make it easy for companies to create, evaluate, deploy and monitor guardrails.\n\nWith Galini, product and engineering leaders enjoy peace of mind knowing their AI apps are compliant at run-time, and save $1-10M from avoiding an in-house build.\n\n**Ask:** If you are building or using AI applications, let us take run-time compliance off your plate. Email [founders@galini.ai](mailto:founders@galini.ai) or please refer us to others who may need this.\n\nWatch our demo [here](https://youtu.be/2luqEuXK-34)\n\n# ❌ The Problem:\n\nCompliance and trust are major barriers to scaling AI, with [one in two executives fearing reputational damage.](https://www.complianceweek.com/surveys-and-benchmarking/deloitte-survey-ai-adoption-raising-concerns-about-trust-reputational-damage-ethics/35411.article)\n\n**Ignoring the problem does not make it go away:** A staggering [44% of organizations](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) have reported negative consequences from using AI chatbots and assistants.\n\n**The cost of non-compliance is rising:** Fines of [7% annual revenues (or 35M EUR)](https://artificialintelligenceact.eu/article/99/#:~:text=Non%2Dcompliance%20with%20the%20prohibition,financial%20year%2C%20whichever%20is%20higher.) for non-compliance with EU AI Act; [similar regulations are fast approaching in the US.](https://www.cnet.com/tech/services-and-software/biden-administration-wants-ai-guardrails-heres-its-call-to-action/)\n\n**Companies are not ready:** Only 6% feel ready to accommodate these changes, while [80% are committing](https://www.accenture.com/us-en/insights/artificial-intelligence/ai-compliance-competitive-advantage) 10%+ of their AI budgets to compliance.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/45bf4fb3-686e-4532-baf9-c53860dcc7dd)\n\n# ✅ Use cases:\n\nMost customer- or employee-facing AI applications require guardrails:\n\n* **Search:** Block non-compliant queries and prevent exposing sensitive or proprietary information to users.\n* **Chatbots:** Ensure responses are accurate and compliant with company policies.\n* **Assistants:** Stop misleading advice in violation with company policies that could cause negative PR or legal risks.\n* **Agents**: Control scope and prevent unauthorized actions or transactions.\n* **Recommendation engines**: Filter outputs to avoid biased, irrelevant or offensive suggestions that damage brand trust.\n* **Decisioning systems**: Ensure automated decisions (e.g., loan approvals, hiring) meet regulatory standards and prevent discriminatory outcomes.\n\nNo enterprise-grade guardrail solutions exist today. Companies **incur $1-10M+ in costs annually** **and 6-12 months in delays** building guardrails in-house.\n\n# 🎯 The Solution: Galini to the rescue\n\n**Galini’s guardrail as-a-service** enforces runtime compliance with four core modules:\n\n1. **Build** custom guardrails based on your company’ policies\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/f5e3d2be-886f-4484-88e5-77111e897e12)\n\n2. **Evaluate** your guardrails using Galini’s synthetic test generator and evaluation engine\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d28cc55e-38e2-404b-a4bb-5bd58c55eba8)\n\n3. **Deploy** into your app in seconds with our API\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/11fdf98c-af88-4e65-a58a-329b974a0634)\n\n4. **Monitor** and improve performance by providing feedback to Galini’s agent\n\n   ![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/449d0e40-e5f7-4475-aa95-11b9c48bc04f)\n\n\n# 🙏 Our ask:\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/galini-ai/), and [book a demo](https://www.galini.ai/get-started) with our team\n* **Share this post!** Do you know product and engineering leaders in regulated industries like finance, healthcare, education and public safety? Please share this post; we’ll save them 1000+ hours in dev costs and many sleepless nights!\n* Learn more at [Galini.ai](http://Galini.ai) Please reach out to [founders@galini.ai](mailto:founders@galini.ai)\n\n# 🤝 The team:\n\n[Shaun Ayrton](http://www.linkedin.com/in/shaun-ayrton) (CEO) – A former McKinsey leader, Shaun drove $500M+ in revenue acceleration at leading global software and telecom clients. He witnessed firsthand how companies struggle to manage the risks of AI deployment.\n\n[Raul Zablah](https://www.linkedin.com/in/raulzablah/) (CTO) - As a former senior staff engineer, Raul has built and scaled industry-leading enterprise platforms at Bridgewater, Morgan Stanley and Ridgeline and has published papers in the field. His specialization is SRE and making technology work securely and reliably at enterprise scale.\n\nShaun and Raul met on their first day at UPenn’s M&T program in 2011 and have been dear friends since.\n\n![uploaded image](/media/?type=post&id=85206&key=user_uploads/2208234/d3560988-4030-4c4c-a92b-a2df234d429d)\n\n",
        "url": "https://www.ycombinator.com/launches/MAI-galini-compliance-guardrails-for-ai-applications",
        "votes": 485,
        "created_at": "2024-11-01T01:26:08.182Z"
      }
    ]
  },
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    "id": 30022,
    "name": "Symphony",
    "slug": "symphony",
    "former_names": [],
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    "website": "https://getsymphony.co",
    "all_locations": "New York City, NY, USA",
    "long_description": "Symphony helps enterprises train their customer-facing employees using interactive AI voice simulations of real-world scenarios. Users can create an infinite number of simulations that allow their teams to practice the job - avoiding costly mistakes with real customers. For example, we’re live with 2 of the top 3 auto insurers in NA, helping train 1000s of newly hired claims adjusters. ",
    "one_liner": "Voice AI sims for next-gen employee training",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1730410520,
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      "America / Canada"
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/talk-to-symphony/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1834517,
        "full_name": "Murtaza Ali",
        "title": "Founder/CEO",
        "founder_bio": "Murtaza is Co-founder & CEO of Symphony. He is a 2nd-time founder, ex-McK EM, and was VP of Growth at Tractable taking them from $100M to $1B valuation in 2 years. He has experience building and selling AI solutions, closing multi-million ARR B2B Enterprise deals. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/-murtazaali/",
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      {
        "user_id": 1509298,
        "full_name": "Shobhit Srivastava",
        "title": "Founder/CTO",
        "founder_bio": "Shobhit is the co-founder & CTO of Symphony. His background is in full stack engineering at hyper-growth startups. Most recently, he was a senior engineer/tech lead at Valon, an A16Z-backed mortgage fintech, leading engineering efforts for the billing vertical. He studied CS and AI at Georgia Tech.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shobhit-srivastava",
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    ],
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    "launches": [
      {
        "id": 85204,
        "title": "Symphony - A Conversational AI Recruiter",
        "tagline": "Hire customer facing roles better & faster - Automate candidate screening, reduce time-to-fill, source better hires, and boost candidate experience",
        "body": "![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/9538013b-cac8-43e5-aaf4-63b7ae51f9ac)\n\nSymphony is a conversational AI recruiter that helps companies hire customer-facing roles, all while giving candidates a more enjoyable and supportive experience in the recruiting process. We free up 80% of recruiters' time and see time-to-fill drop to as low as 2 days, which avoids costly downtime.\n\n<https://www.youtube.com/watch?v=A6dJYCylNiY>\n\n### **Problem**\n\n# **Recruiters are drowning. Candidates aren’t happy.**\n\nRecruiters / Talent acquisition managers have a mountain of admin/screening work to find the right talent quickly. They often get 100s or 1,000s of (mostly irrelevant) applications for each job opening.\n\nWhen recruiters are drowning, quality, experience, and speed suffer. Lack of quality talent can cause downtime and lost revenue. Candidates suffer because they lack transparency & speed, leading to a poor candidate experience.\n\n### \n\n### **Opportunity**\n\n# **Customer-facing roles are the most underserved**\n\nOur focus is on customer-facing roles (anyone that interacts with customers). This covers roles ranging from CSRs, customer success managers, and sales associates to healthcare professionals and maintenance & repair staff. They need a mix of technical knowledge, communication skills, and EQ to be effective in their roles, which today is assessed purely by humans in an HR pre-screen. This is the most underserved sector in the recruiting space, bogged down by antiquated tools and manual admin work. They’re also the largest population of workers, making up 60% of jobs or \\~100M people.\n\n### \n\n### **Solution**\n\n# **Automate the recruiting process and free up valuable time**\n\nWe evaluate all inbound applications against the custom criteria for the role to surface the best matches. Our AI interviewer, Eve, then conducts live voice screening calls with top candidates - saving recruiters from spending their time on initial screens while removing human bias from the process. These 15-20 minute conversations bring resumes to life, highlighting important traits like communication skills and EQ (both of which are critical for customer-facing roles).\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/ccfdae7e-945d-4512-b9f7-fad2301f073f)\n\nCandidates tell us they feel more comfortable talking with our voice AI interviewer than humans. They are less nervous and can more openly share their experiences.\n\nSymphony then handles all needed admin work, coordinating with hiring managers and candidates to schedule the next interview.\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/a2856a65-43b8-4d1c-9092-d99864160261)\n\nWe integrate with all major ATS systems to make it easy for our customers to get started with us.\n\n### \n\n### **About the founders**\n\n![uploaded image](/media/?type=post&id=85204&key=user_uploads/1834517/8f98c53a-2cbd-4f49-8802-d6b53c3132cd)\n\nWe first met when Murtaza was Shobhit’s RA freshman year at Georgia Tech (go Jackets!). We’ve been friends for over 10 years and grew up just a few miles away from each other in Georgia.\n\nWe left our startup jobs about a year ago. Murtaza was VP of growth at Tractable (high-growth Series E computer vision startup) and EM at McKinsey. Shobhit was a tech lead at Valon (Series B mortgage fintech).\n\nWe both felt firsthand how recruiting was broken. After we researched the space more, we learned about the massive problems roles recruiting teams, especially for customer-facing roles.\n\n### **Reach out!**\n\nIf you’re interested in driving a better candidate experience, hiring better talent faster, all with fewer resources - let us know! We’d love to chat :).\n\n**Murtaza** - [murtaza@getsymphony.co](mailto:murtaza@getsymphony.co)\n\n**Shobhit** - [shobhit@getsymphony.co](mailto:shobhit@getsymphony.co)",
        "url": "https://www.ycombinator.com/launches/MAG-symphony-a-conversational-ai-recruiter",
        "votes": 57,
        "created_at": "2024-10-31T23:23:58.367Z"
      }
    ]
  },
  {
    "id": 30033,
    "name": "Openbenchmarks",
    "slug": "openbenchmarks",
    "former_names": [
      "OpenFunnel"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba2fe192898aad8d25d7bcb8cef6e121485b633.png",
    "website": "https://openbenchmarks.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Openbenchmarks runs open, independent benchmarks across APIs, vendors and tools. \r\nHelping teams fairly evaluate vendors.\r\n\r\nWe offer private benchmarking & analytics tools to help you measure your product against competitors, see exactly where you fall short, and fix it.",
    "one_liner": "We help humans & agents pick tools via Independent Benchmarks",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1728361776,
    "tags": [
      "SaaS",
      "B2B",
      "SEO",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/openbenchmarks",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/openbenchmarks.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/openbenchmarks",
    "x_url": "https://x.com/openbenchmarks",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/openbenchmarks-labs",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fba2fe192898aad8d25d7bcb8cef6e121485b633.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 858828,
        "full_name": "Fenil Suchak",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Openbenchmarks - to help customers sell to Agents.\n\nPrev: Co-Founder at OpenFunnel - helped customers sell to Humans",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/fenilsuchak",
        "x_url": "https://x.com/fenilsuchak",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1826d9f2aed0f9dcbb91b0f151e5b872bda40eab.jpg"
      },
      {
        "user_id": 1631833,
        "full_name": "Aditya Lahiri",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Openbenchmarks\nPreviously, I built AI Agents for Leasing in PropTech, did Graduate Research on Controlled Generation of Large MultiModal Models and Shapley values, and helped build distributed large-scale Machine Learning Models at American Express AI Labs.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityalahiri",
        "x_url": "http://x.com/cross_entrippy",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f6e7a410e84b0f2d142a9e6ff1edf0d092358cf.jpg"
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    ],
    "jobs": [
      {
        "id": 95455,
        "title": "Founding Engineer (AI + Backend)",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/j6hc4eQ-founding-engineer-ai-backend",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$100K - $120K",
        "equity_range": "0.30% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 108191,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/kIN6a4q-founding-gtm",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$30K - $37K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 109689,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/openbenchmarks/jobs/gqlxWMe-founding-gtm",
        "location": "US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.20% - 0.60%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "How Reasoning Models Are Killing Traditional Search",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/07/02/how-reasoning-models-are-killing-traditional-search-and-why-thats-great-news/?utm_campaign=Social%20Member%20Articles&utm_content=337302161&utm_medium=social&utm_source=twitter&hss_channel=tw-3291010518",
        "date": "Jul 06, 2025"
      },
      {
        "title": "The Internet Is Your Database: How Research Agents Are Changing GTM",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/06/20/the-internet-is-your-database-how-research-agents-are-changing-gtm-forever/",
        "date": "Jun 20, 2025"
      },
      {
        "title": "From SaaS To RaaS: How AI Agents Are Redefining Software",
        "url": "https://www.forbes.com/councils/forbestechcouncil/2025/04/23/from-saas-to-raas-how-ai-agents-are-redefining-software/",
        "date": "Apr 23, 2025"
      }
    ],
    "launches": [
      {
        "id": 94200,
        "title": "OpenFunnel: Search Engine for GTM",
        "tagline": "We monitor your TAM and surface companies when custom triggers fire.",
        "body": "### The Problem:\n\n**GTM search is broken.**\n\n**LLMs over commoditized GTM Databases won’t fix it.**\n\nhttps://www.youtube.com/watch?v=W9OZ5_KJN5A\n\n**\"B2B SaaS, 501-1000 employees, uses Salesforce\"** is just targeted spam.\n\nNo insights. No buying signals. No understanding of pain. Plus, data for growing markets aren't even present in these databases.\n\nOne-time snapshots. No timing. No triggers when pain surfaces. Your competitors have the same database. Everyone's spamming the same channels.\n\nYou need 24×7 searches capturing insights as they happen - not after they're stale.\n\nTraditional Intent data is a blackbox and unreliable.\n\nOnly Inbound dependence is a reactive approach and prospects are already evaluating competitors by that time.\n\nOpenFunnel automates finding unique, timely insights that get you \"ins.\"\n\nWe unlock net new pipeline across GTM functions in Marketing, RevOps, SDRs, and BDRs that were unreachable before.\n\n### **ENTER OPENFUNNEL:**\n\nOpenFunnel is your search engine for inferred pain: you describe the activities that reveal potential pain-points, we find the companies with those pain points, identify the right people, and produce outreach-ready messaging.\n\n**Find companies WHERE Activity happening = \\[abc\\] AND TimeRange = \\[m..n months\\]**\n\nSome examples that you can search for:\n\n* Companies implementing usage-based billing in the past 3-6 months - then monitor daily for new ones\n* Companies moving from OpenAI to self-hosted Llama in the last 2 months - then track all ongoing migrations\n* Companies that are looking to build out their government facing sales motions - then surface all such build outs.\n* B2C fintechs attending RSAC Conference in Las Vegas\n\nLive search agents continuously monitor time-based activities and changes across your ICP that matter to your GTM.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/07397e96-6b5e-4d21-a265-2961783af3bf)\n\n### **LIFE OF CUSTOMERS after Openfunnel:**\n\nGTM teams setup custom insights they want to search and monitor for, in natural language.\n\nOpenFunnel auto-surfaces new and existing accounts with deep actionable insights and sync to CRM, autonomously.\n\nWe work with the fastest-moving companies who understand the value of acting quick on insights - including Central, Mintlify, Everest Systems, Fini, and Numi.\n\nOur self-serve platform has 1000+ users.\n\n### **Why We're Building ThiS:**\n\nDuring F24 batch, we built GTM tools for developer-focused companies with zero knowledge of the GTM toolkit and stack.\n\nCustomers loved our first-principles approach - we built what we'd actually want: relevant outreach with real context at the right time.\n\nThen we discovered existing that GTM tools are built on flawed, pre-LLM assumptions and this generalizes across industries.\n\nGTM is timing, insights, and reasoning - exactly what LLMs excel at. As software shifts to agent-first, it becomes a search and discovery problem.\n\nTraditional indexing lacks the temporal + contextual depth for GTM.\n\nSo, we're building a time-aware search engine for GTM.\n\n### **🦄 COME Say hi:**\n\nAditya & Fenil were dorm mates at BITS Pilani & friends for 8 years.\n\nAditya built AI Agents at scale at Appfolio and Fenil built cloud-scale vector databases at Oracle.\n\nWe've talked to 200+ GTM teams across sizes, industries, and AI adoption levels.\n\nWe’ve embedded these insights deep into OpenFunnel.\n\nWe are in SF at 128 Kings St. next to Oracle Park. Need help with anything GTM? Come say hi.\n\n![uploaded image](/media/?type=post&id=94200&key=user_uploads/858828/074961ff-899f-4306-a87e-4498d6aa2dea)\n\n### **ASK:**\n\nJoin a 1000+ users already using pain-first search to discover their prospects!\n\nGet started for free at - [app.openfunnel.dev](http://app.openfunnel.dev) !\n\nWe also have a YC deal loved by customers, Book a time for a personalized walkthrough - https://deals.ycombinator.com/deals/2816",
        "url": "https://www.ycombinator.com/launches/OVM-openfunnel-search-engine-for-gtm",
        "votes": 29,
        "created_at": "2025-09-29T22:29:20.375Z"
      },
      {
        "id": 85119,
        "title": "OpenFunnel - GTM Agents for Developer Tools",
        "tagline": "Accelerate your Go-To-Market with a team of AI Agents.",
        "body": "We are [Fenil](https://linkedin.com/in/fenilsuchak) & [Aditya](https://www.linkedin.com/in/adityalahiri/) from [OpenFunnel](https://openfunnel.dev/), and we're building GTM Agents for Developer Tooling companies. Previously, we built 23ai Cloud DB at Oracle and Leasing AI Agents in PropTech. Before that, we were dorm mates during our undergrad.\n\n**The Problem**\n\nRunning GTM at a Developer Tooling company is challenging. It involves engaging the developer community, driving adoption, finding qualified leads that match your ideal customer profile (ICP), and researching company initiatives to determine where your dev tool fits in. These tasks require the skills of a salesperson, a developer, and a marketing expert.\n\n**Our Solution**\n\nOur Team of GTM Agents helps with this. We use our AI Agents that are fine-tuned to your industry, ICP, and products to support your entire GTM strategy.\n\nOur Enterprise Sales Research Agent provides Team Graphs & Developer Champions, including project details, company initiatives, and developer journeys. Weaviate is using this to close deals with Fortune 50 Enterprise Accounts.\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f50196df-9c57-4a8e-8be8-65c46da2d41d)\n\nFor fast-moving startups, our Sales Research Agent helps high-growth YC dev tool companies like Greptile find qualified leads that match their ICP and need their products.\n\nOur Marketing Agent monitors developer channels, helping our YC batchmates like Alex (Cursor for Xcode) understand their developer community and effectively engage with it.\n\n[A Demo](https://youtu.be/n8QMtShty88)\n\n**Let’s Get Started - Join Us!**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/f25f0761-7832-4aed-8e48-ac507bdcaab0)\n\nAccelerate your GTM - [Set up a call with us.](https://cal.com/team/openfunnel/demo) Our Agents are ready to get to work for you!\n\n**Bonus**\n\n![uploaded image](/media/?type=post&id=85119&key=user_uploads/1631833/9bf1d2f3-cda7-4ac6-a926-981d6ea8b2ab)\n\nInterested in why we find GTM in Dev Tools exciting? [Read more here](https://openfunnel.dev/blog/how-why)!",
        "url": "https://www.ycombinator.com/launches/M8t-openfunnel-gtm-agents-for-developer-tools",
        "votes": 34,
        "created_at": "2024-10-29T19:45:23.390Z"
      }
    ]
  },
  {
    "id": 30041,
    "name": "Revyl",
    "slug": "revyl",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1eca61dd3b32e7b0f7174161cd567ec823504e49.png",
    "website": "https://www.revyl.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Revyl is the mobile development platform for agents, developers, product, and design. It brings development, build infrastructure, verification, and application intelligence together in one platform, giving teams and agents a shared source of truth for every mobile application.\r\n\r\nTeams can build and run mobile applications in the cloud, understand how their applications work, collaborate across functions, and verify changes against the running app. AI agents gain the context and runtime they need to move beyond simply generating code and understand whether their work actually works.\r\n\r\nBy connecting the people and agents building software to the application itself, Revyl helps teams move faster, collaborate more effectively, and build mobile with confidence.",
    "one_liner": "The Mobile Development Platform",
    "team_size": 16,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1729643205,
    "tags": [
      "Developer Tools",
      "B2B",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/revyl",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/revyl.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/revylai/",
    "x_url": "https://x.com/tryrevyl",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/RevylAI/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1eca61dd3b32e7b0f7174161cd567ec823504e49.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 1321343,
        "full_name": "Landseer Enga",
        "title": "Founder/CEO",
        "founder_bio": "Building the mobile source of truth @ Revyl",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/landseerenga",
        "x_url": "https://x.com/landseerenga",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/610a94112586436ed1f68e60566a57df17956a1a.jpg"
      },
      {
        "user_id": 1432741,
        "full_name": "Anam Hira",
        "title": "Founder/CTO",
        "founder_bio": "building proactive observability - catching bugs before they reach production @ Revyl. \n\n\nex Uber AI - dragoncrawl team \n\n\nUBC cs + stat\n\n\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anam-h-5b37a2125",
        "x_url": "https://x.com/anamhira",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f711adc18ebc09fe193cac71ac8fd0504054be3.jpg"
      }
    ],
    "jobs": [
      {
        "id": 93254,
        "title": "Engineering Intern",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/SduBVhc-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104528,
        "title": "GTM Intern",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/d5wDFIK-gtm-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$5K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105186,
        "title": "Staff Infrastructure Engineer — Device Cloud",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/7csBGxt-staff-infrastructure-engineer-device-cloud",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Android",
          "Go",
          "Google Cloud",
          "iOS",
          "Kubernetes",
          "MacOS",
          "AI Agents"
        ]
      },
      {
        "id": 106901,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/revyl/jobs/E3sb54p-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $200K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 85015,
        "title": "Revyl - Proactive observability",
        "tagline": "Automatically catch and triage bugs before they reach production.",
        "body": "# **TL;DR:**\n\n[Revyl](https://www.revyl.ai/) creates resilient end-to-end tests linked to telemetry traces to catch and triage bugs before they reach production.\\\n<https://www.youtube.com/watch?v=Zy7yXTomh7M&ab_channel=AnamHira>\n\n# **Problem:**\n\n* E2E tests frequently break due to UI changes\n* Finding the root cause of a bug can be extremely time-consuming\n* Bugs in production cause revenue loss and erode customer trust\n* Testing practices are fragmented across web and mobile\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/0b6d5568-fd23-4cd7-8d5f-1feca7fc1d57)\n\n# **Solution:**\n\nRevyl was developed to simplify your QA pipeline. Provide us with your user flows, and we'll handle the rest.\n\nAt its core, Revyl uses resilient end-to-end tests connected to telemetry traces to enable companies to catch and triage bugs before they reach production. Revyl supports tests across Web, iOS and Android.\n\nThis approach:\n\n1. Catches bugs across your whole tech stack\n2. Prevents bugs from reaching production\n3. Accelerates triaging by pinpointing UI and/or microservice failures\n4. Cuts test maintenance to near zero\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/07c6f0c2-6d2f-4cc2-882c-edd303380eb4)\n\n# **Why Us?:**\n\n* [**@Anam Hira**](https://linkedin.com/in/anam-h-5b37a2125): Built [**DragonCrawl**](https://www.uber.com/en-CA/blog/generative-ai-for-high-quality-mobile-testing/), an LLM-based mobile testing framework, while working as a machine learning engineer at Uber. Dragoncrawl saved $25M in 4 months, detecting 11 P0 incidents.\n* [**@Landseer Enga**](https://linkedin.com/in/landseerenga): Experienced in growth-stage startups (PM/Engineer), did some web scraping for PE firms.\n\n# **Our Ask:**\n\n1. [**Book a meeting**](https://cal.com/landseer-enga/book-a-demo) or email us at [founders@revyl.ai](mailto:founders@revyl.ai) if you struggle with testing and want to start pushing to prod on Fridays.\n2. If you know anyone on QA/Observability teams we would love to talk to them!\n\n![uploaded image](/media/?type=post&id=85015&key=user_uploads/1321343/d2cbf495-3460-4f97-98e8-6ca8154ef8b8)\n\n",
        "url": "https://www.ycombinator.com/launches/M7D-revyl-proactive-observability",
        "votes": 122,
        "created_at": "2024-10-24T13:35:15.397Z"
      }
    ]
  },
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    "id": 30043,
    "name": "Vespper",
    "slug": "vespper",
    "former_names": [
      "Merlinn"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png",
    "website": "https://vespper.com/?utm_source=ycombinator.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "The best DOCX MCP for agents. \r\nread and edit docx without having you agents deal with XML. Save on cost, enjoy improved performance.\r\nPerfect for regulatory, compliance and legal agent builders dealing with documentation",
    "one_liner": "The best DOCX MCP for agents to edit microsoft word documents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1729555399,
    "tags": [
      "Documents",
      "Developer Tools",
      "B2B",
      "API",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/vespper",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/vespper.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vespper",
    "x_url": "https://twitter.com/vespperdotcom",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/vespper",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8071a4dd821b17c48fe53b21be58c8dd37534c31.png",
    "app_video_url": null,
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    ],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 316431,
        "full_name": "Topaz Turkenitz",
        "title": "Founder/CEO",
        "founder_bio": "Background in computer science and design. At Snyk, led the company’s top growth experiment and spearheaded the project that secured a Fortune 500 bank. Previously, worked at 99designs (a Vista-owned global e-commerce marketplace), driving end-to-end product initiatives.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/topaz-t",
        "x_url": "https://www.twitter.com/topaz_tee",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/793dcbb4e83aab40f95df04118dd19ce49f43a88.jpg"
      },
      {
        "user_id": 978949,
        "full_name": "Dudu Lasry",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Vespper\nI’m a passionate software engineer with over seven years of experience, focused on building solutions that make a real difference. Before starting my own venture, I worked at Google, Viz.ai, and SafeBreach, where I took on key projects, collaborated closely with teams, and supported initiatives that mattered to both developers and the business. \n\nIn my spare time, I like playing the guitar, working on side projects and travel the world (most recently Japan 🇯🇵)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dudu-lasry-05022879",
        "x_url": "https://twitter.com/DavidLasry17164",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e321d837b1fc79b61321540437f26a50938fbde3.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 113233,
        "title": "Vespper DOCX MCP",
        "tagline": "The first SOTA level model to allow agents to edit DOCX documents",
        "body": "Today we're launching **Vespper DOCX MCP**.\\\n\\\nThe first model fine-tuned specifically for editing Word documents, shipped as an MCP. \\\n\\\nOn our internal benchmark, it lets agents run 3x faster, 2x cheaper, and more accurately than the closest alternative.\\\n\\\nThere are 1.2–1.5B Knowledge workers globally, with Word as the default tool for the majority of them. 150–250M people open/edit a Word doc on a given weekday, and soon there will be an agent alongside each one.\\\n\\\nTry it now: [https://app.vespper.com](https://app.vespper.com/?utm_source=yc_launch)\\\n\\\nRead our technical blog post here: [https://www.vespper.com/blog/launching-vespper-docx-mcp](https://www.vespper.com/blog/launching-vespper-docx-mcp/?utm_source=yc_launch)\\\n\\\n<https://youtu.be/5v570mnPEJQ?si=qLa2xNTLSlp7UyOl>",
        "url": "https://www.ycombinator.com/launches/TSL-vespper-docx-mcp",
        "votes": 5,
        "created_at": "2026-09-01T17:40:35.005Z"
      },
      {
        "id": 85173,
        "title": "Vespper: 24/7 AI on-call engineer",
        "tagline": "An agent that is triggered by alerts and surfaces relevant information that helps you troubleshoot",
        "body": "⭐ Star us on [Github](https://github.com/vespperhq/vespper) & follow us on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/vespper)!\n\n**📜 TL;DR**\n\n[Vespper](https://www.vespper.com?utm_source=yc&utm_campaign=yclaunch&utm_id=1) is an on-call engineer that helps engineers troubleshoot alerts by surfacing the right data at the right time.\\\n\\\n<https://youtu.be/uN888sOaIig>\n\n**🎯 What is Vespper?**\n\nVespper is an on-call engineer running 24/7 to troubleshoot your alerts and surface the right data to help you resolve your issue so incidents never falls through the cracks.\n\nWhether your company is going through growing pains, needs a better handle at dealing with SEV0 or has too many low priority unsolved issues - Vespper will adapt to your needs to democratize expert knowledge across your organization.\n\n**❌ The problem**\n\nMost companies drown in alerts and there are too many alerts to handle.\n\n* **Engineers** hate waking up at 3am to go investigate an issue, one person is familiar with one specific thing and they aren’t around, there is a constant need to check for false positives.\n* **Product managers** are left playing hot potato when trying to figure out the impact of incidents and bugs but engineers are too busy triaging the issue itself.\n* **Customer support** are left asking “who owns” which service when triaging tickets.\n* **Engineering leaders** need to constantly ensure engineers are escalating quickly, they rely on service specialists to debug an issue other engineers aren’t familiar with but they aren’t always around during critical times.\n\n**💰 The solution**\n\nVespper is a multi-agent system that triages alerts, troubleshoots them and sends findings in seconds to Slack. It’s connected to internal tools (observability, incident management, knowledge management, codebases and more) and can surface problems & identify patterns in the oceans of data you have.\n\nAt the moment, we support popular tools such as:\n\n* **Observability** - DataDog, Grafana, Prometheus, Jaeger, SigNoz, Coralogix\n* **Incident management** - PagerDuty, Opsgenie\n* **Codebases** - Github\n* **Knowledge management** - Notion, Confluence, Jira\n* **Communication** -  Slack, Teams (TBD)\n\n**⚒️ How does it work?**\n\nVespper is a system that’s comprised of multi-agents and AIOps models. Behind the scenes, we run & coordinate multiple agents and tools that help identify suspicious patterns from your environment.\n\nUsing Vespper is easy.\n\n1. Signup & create an organisation.\n2. Connect the tools you work with when triaging/troubleshooting. This means observability, knowledge, incident management and communication tools.\n\nOnce the integrations are connected, we automatically trigger advanced data ingestion pipelines that starts scraping data from your environment. This is used to train the bot. You can see the status of the ingestion & training in our web UI.\n\nOnce the system is ready, it will start triaging alerts for you, post an hypothesis on Slack and show you all the automatic checks it made!\n\n**👨‍👨‍👦 About the team**\n\n![uploaded image](/media/?type=post&id=85173&key=user_uploads/316431/58991bfd-e2eb-49f3-a915-31300d54e458)\n\nHi, we are Topaz & Dudu 😊 We co-founded Vespper with the mission of making on-call stress-free. \\\n\\\n**Topaz (CEO)** - Spent years at Snyk (a hyper-growth unicorn) building and maintaining large distributed systems, leading PLG experiments and achieving 99.9% uptime for her teams services.\n\n**Dudu (CTO)** - has seven years of experience working at rapidly-growing technology startups, including Google, Viz.ai and SafeBreach. Dudu was a deep-learning algorithm engineer at Viz.ai. He contributed to cutting-edge projects that leverage computer vision for healthcare applications and also worked on large-scale distributed systems.\n\nWe both dealt with daily alerts and the daily monotony of triaging, tuning and maintaining services observability.  This time spent all came at the expense of working on more impactful customer focused work.\n\nWe believe that pairing the strength of AI to pattern-match, classic AIOps and heuristics from our own experience can unlock a new experience for developers.\n\n**🙏 Our ask**\n\n1. Book a meeting with us <https://cal.com/callwithtopaz/vespper> or email us at [**founders@vespper.com**](mailto:founders@vespper.com)**.**\n2. Star us on [GitHub](https://github.com/vespperhq/vespper) + follow along on [Twitter](https://x.com/vespperdotcom) & [LinkedIn](https://www.linkedin.com/company/101636115/).",
        "url": "https://www.ycombinator.com/launches/M9l-vespper-24-7-ai-on-call-engineer",
        "votes": 74,
        "created_at": "2024-10-31T03:20:04.045Z"
      }
    ]
  },
  {
    "id": 30046,
    "name": "Cekura",
    "slug": "cekura-ai",
    "former_names": [
      "Lex",
      "Vocera",
      "Cekura",
      "Cekura (formerly Vocera)",
      "Cekura",
      "Cekura (formerly Vocera)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e614d24f652dc1e194f172153c3b7036c9c30b2f.png",
    "website": "https://www.cekura.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cekura helps Conversational AI companies with automated QA. From pre-production simulation and evaluations to production call monitoring, to assisting customers in setting up the CI/CD pipeline, we help in QA across the agent lifecycle.\r\n\r\nWe are working with 75+ customers across healthcare, BFSI, logistics, recruitment, and retail. Some of the largest CCAS players and enterprises use Cekura to ship AI voice and chat agents reliably ",
    "one_liner": "Voice AI and Chat AI agents: Testing and Observability",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728616885,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/cekura-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/cekura-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104795138",
    "x_url": "https://x.com/cekuraAi",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/vocera-ai",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e614d24f652dc1e194f172153c3b7036c9c30b2f.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 795623,
        "full_name": "Tarush Agarwal",
        "title": "Founder/CEO",
        "founder_bio": "Tarush is the Co-founder and CEO @ Cekura. \n\nBefore this, Tarush spent 3 years in quant finance where he developed ultra low latency systems (think nanoseconds) and helped transform a loss making trading strategy into a successful desk doing millions in MRR in 3 months. \n\nHe studied computer science and statistics at IIT Bombay. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tarush-agarwal-b14851160/",
        "x_url": "https://x.com/tarush_agarwal_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9de59baa2dc1dde755d85e5f1cd20d0574e949b.jpg"
      },
      {
        "user_id": 1332337,
        "full_name": "Shashij Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Shashij is the Co-Founder & CTO @ Cekura.\n\nPreviously Shashij worked as a quantitative researcher in a trading firm searching for complex alphas. Shashij has also researched in NLP at Google Research and has a first author paper on testing transformers with 50+ citations from his work at ETH Zurich. \n\nHe has also studied computer science at IIT Bombay.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/shashij-gupta-671aa614a",
        "x_url": "https://x.com/Shashijgupta",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8fec5994a7451e97038ab771bf8137eab6611a16.jpg"
      },
      {
        "user_id": 1605191,
        "full_name": "Sidhant Kabra",
        "title": "Founder",
        "founder_bio": "Sidhant is the Co-Founder & President @ Cekura. \n\nSidhant comes from a consulting background, advising CEOs at Fortune 500 companies in FMCG and medical devices. He also led a 100+ member team handling customer experience. Recently, he drove product and growth at an edtech startup scaling from 0 to 200K+ users in 6 months. \n\nSidhant completed his bachelor’s from IIT Bombay. During university, he raised $500K in sponsorship deals for Asia’s largest student-led festival.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidhantkabra",
        "x_url": "https://x.com/kabra_sidhant",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/303eef125d5fbdce4702172fd1de671c6220fafd.jpg"
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    ],
    "jobs": [
      {
        "id": 95171,
        "title": "Forward Deployed Engineer (US)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/AiWwUxI-forward-deployed-engineer-us",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$100K - $180K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106505,
        "title": "Member of Technical Staff, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/FssE6kq-member-of-technical-staff-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.20% - 0.80%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 107901,
        "title": "Founding GTM, Cekura (San Francisco, In-Person)",
        "url": "https://www.ycombinator.com/companies/cekura-ai/jobs/yDmL9mb-founding-gtm-cekura-san-francisco-in-person",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $150K",
        "equity_range": "0.15% - 0.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "YC-backed Cekura plans to open office in India following $2 million fundraise - The Economic Times",
        "url": "https://economictimes.indiatimes.com/tech/startups/yc-backed-cekura-plans-to-open-office-in-india-following-2-million-fundraise/articleshow/122233573.cms?from=mdr",
        "date": "Jul 03, 2025"
      },
      {
        "title": "Cekura raises $2.4 million to make AI conversations reliable",
        "url": "https://americanbazaaronline.com/2025/07/02/cekura-raises-2-4-million-to-make-ai-conversations-reliable/",
        "date": "Jul 02, 2025"
      },
      {
        "title": "Cekura raises $2.4M to build the reliability layer for Conversational AI",
        "url": "https://www.cekura.ai/blogs/cekura-raises-dollar24m-to-build-the-reliability-layer-for-conversational-ai",
        "date": "Jul 01, 2025"
      },
      {
        "title": "Read the Pitch Deck Y Combinator Startup Used to Raise $2.4 Million - Business Insider",
        "url": "https://www.businessinsider.com/read-pitch-deck-y-combinator-startup-used-seed-funding-2025-6",
        "date": "Jul 01, 2025"
      }
    ],
    "launches": [
      {
        "id": 96868,
        "title": "Cekura Red Teaming: Stress-test your AI agents for Jailbreaks, Bias, Toxicity and more",
        "tagline": "Break your AI agents security before your customers do",
        "body": "Hi Everyone! We are Sidhant, Shashij, and Tarush, co-founders of Cekura👋\n\n**_TL;DR:_** We have launched Cekura Red Teaming for enterprises and startups building Conversational AI in compliance-heavy sectors like BFSI, Healthcare, Legal, etc\n\nWatch our launch video [here](https://www.youtube.com/watch?v=ShCiyZQ7pyw) or book a call [here](https://cal.com/kabrasidhant/30min)\n\n**Problem:**. Enterprise security teams are blocking deployments because manual, vibe-based testing doesn’t provide enough assurance against adversarial users. Whether it’s a user bypassing a paywall, tricking a bot into giving legal advice, or social-engineering it into leaking company secrets - the attack surface of conversational AI is massive.\n\n**Solution:**\n\n**Scalable, Automated Red Teaming:** Cekura allows you to run thousands of adversarial simulations in minutes. We act as the \"bad actor,\" pushing your agent's logic to its limits across every major vulnerability category:\n\n* 🔓 **Jailbreaking:** We simulate sophisticated \"prompt injection\" attacks to see if your agent will ignore its instructions or reveal its system prompt.\n* ⚖️ **Bias & Fairness:** We test for hidden biases in financial, medical, or recruitment advice to ensure your agent stays compliant and fair.\n* 🤬 **Toxicity:** We try to provoke your agent into unprofessional or offensive behaviour.\n* 🛡️ **PII & Data Leakage:** We attempt to extract sensitive data like credit card numbers, internal keys, or user data that your agent shouldn't have the authority to share\n\n**Red Teaming as a Service (RTaaS):** Beyond our standard library of thousands of scenarios, we also deploy our Forward Deployed Engineers to build **personalised adversarial test cases** tailored to your specific industry and use case (HIPAA compliance for healthcare, PCI DSS for fintech, etc)\n\n**Ready to Security Test your Voice & Chat AI Agents?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@cekura.ai)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate studies at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/PCO-cekura-red-teaming-stress-test-your-ai-agents-for-jailbreaks-bias-toxicity-and-more",
        "votes": 17,
        "created_at": "2026-01-16T17:27:00.616Z"
      },
      {
        "id": 89476,
        "title": "Cekura: Automated Testing & Monitoring for Voice and Chat AI Agents",
        "tagline": "Ship reliable voice and chat agents faster with automated simulation, evaluation, observability and analytics ",
        "body": "Hi Everyone! We’re [Sidhant](https://www.linkedin.com/in/sidhantkabra/), [Shashij](https://www.linkedin.com/in/shashij-gupta-671aa614a/), and [Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/), co-founders of Cekura👋\n\n**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n![uploaded image](/media/?type=post&id=89476&key=user_uploads/1605191/a2827ed8-e974-4369-a5bf-a2407e52431b)\n\n**Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.",
        "url": "https://www.ycombinator.com/launches/NHA-cekura-automated-testing-monitoring-for-voice-and-chat-ai-agents",
        "votes": 36,
        "created_at": "2025-04-13T19:05:17.460Z"
      },
      {
        "id": 84885,
        "title": "Cekura (formerly Vocera) - Testing & Monitoring for AI Voice Agents",
        "tagline": "Launch reliable voice agents in minutes not weeks.",
        "body": "**_TL;DR_** Cekura helps companies ship and scale reliable voice & chat AI agents by providing end-to-end testing and observability\n\nWatch our demo video [here](https://www.youtube.com/watch?v=EsEJJ32JQuM)\n\n**Problem:** Making Conversational AI agents reliable is hard. Manually calling your agents or listening through thousands of calls is slow, error-prone and does not provide the required coverage.\n\n**Our Solution:** At Cekura, we work closely with you at each step of the agent-building journey and help you improve and scale your agents 10 times faster\n\n# **Key Features:**\n\n**Testing:**\n\n* **Scenario Generation**: Create varied test cases from agent descriptions automatically for comprehensive coverage.\n* **Evaluation Metrics:** Track custom and AI-generated metrics. Check for instruction following, tool calls, and conversational metrics (Interruptions, Latency, etc).\n* **Prompt Recommendation:** Get actionable insights to improve each of the metrics.\n* **Custom Personas:** Emulate diverse user types with varied accents, background noise, and conversational styles.\n* **Production Call Simulation:** Simulate production calls to ensure all the fixes have been incorporated.\n\n**Observability:**\n\n* **Conversational Analytics:** Provides customer sentiment, interruptions, latency and call analytics: ringing duration, success rate, call volume trends, etc\n* **Instruction Following:** Identify instances where agents fail to follow instructions.\n* **Drop-off Tracking:** Analyzes when and why users abandon calls, highlighting areas of improvement.\n* **Custom Metrics**: Define unique metrics for personalized call analysis.\n* **Alerting:** Proactively notifies users of critical issues like latency spikes or missed functions.\n\n**Ready to make your Voice & Chat Agents Reliable?**\n\n* Book a call: <https://cal.com/kabrasidhant>\n* Email us: [founders@cekura.ai](mailto:founders@oneleet.com)\n\n# **The Team:**\n\nWe met over eight years ago during our undergraduate at IIT Bombay.\n\n[Tarush](https://www.linkedin.com/in/tarush-agarwal-b14851160/) comes from quantitative finance, where he worked on simulations for ultra-low latency trading strategies (think nanoseconds!).\n\n[Shashij](https://linkedin.com/in/shashij-gupta-671aa614a) has previously researched NLP at Google Research and is the first author of a paper on testing AI systems reliably, which has 50+ citations from his work at ETH Zurich.\n\n[Sidhant](https://www.linkedin.com/in/sidhantkabra) comes from a consulting background advising CXOs at Fortune 500 companies in FMCG and medical devices. He managed P&L in a leading contact centre.\n\n![uploaded image](/media/?type=post&id=84885&key=user_uploads/795623/bbe88a02-e0d0-4bac-bbbd-304720fa753d)\n\n",
        "url": "https://www.ycombinator.com/launches/M57-cekura-formerly-vocera-testing-monitoring-for-ai-voice-agents",
        "votes": 158,
        "created_at": "2024-10-18T20:20:12.889Z"
      }
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  {
    "id": 30054,
    "name": "CTGT",
    "slug": "ctgt",
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    "website": "https://www.ctgt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI.\r\n\r\nFor enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise between capability and catastrophic risk. Standard enterprise approaches, such as RAG, fine-tuning, and prompt engineering, operate at the wrong abstraction layer. They are inherently probabilistic, carry massive engineering overhead, and fail to deliver the mathematical certainty required by the Fortune 500.\r\n\r\nWe focus on the science of representation engineering and have productized mechanistic interpretability. By opening the \"black box\" of neural networks, CTGT has developed a proprietary architecture that intervenes directly at the model's representation layer. We convert complex corporate SOPs, SEC/FINRA regulations, and strict editorial rulebooks into machine-readable \"Policy as Code,\" enforcing deterministic constraints and defensible audit trails without requiring expensive model retraining.\r\n\r\nThe result is a step-function breakthrough in enterprise AI economics and capability. Our fundamental architecture allows organizations to run secure, self-hosted open-source models that mathematically match the reasoning and performance of frontier models. Benchmarks from our enterprise deployments demonstrate a 96.5% prevention of hallucinations, up to a 3.3× accuracy multiplier in complex domain-specific tasks, and an 80-90% reduction in human-in-the-loop manual review.\r\n\r\nBacked by an $8M seed round from Gradient Ventures (Google), General Catalyst, and Y Combinator, CTGT is currently deployed with Fortune 500 companies, including Tier-1 financial institutions and global media conglomerates, giving them the deterministic control necessary to deploy enterprise AI with zero margin for error.",
    "one_liner": "The deterministic layer for frontier intelligence",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1730040950,
    "tags": [
      "B2B",
      "Enterprise",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ctgt",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/ctgt.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ctgt/",
    "x_url": "https://twitter.com/CTGTInc",
    "fb_url": null,
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    "primary_partner": null,
    "founders": [
      {
        "user_id": 509591,
        "full_name": "Cyril Gorlla",
        "title": "Founder/CEO",
        "founder_bio": "Cyril left his research at Stanford at 23 to found CTGT. His work on efficient and interpretable AI was presented at AI conference ICLR while he held the Endowed Chair's Fellowship at the University of California San Diego. He is a Nordson Leadership Scholar and Ivory Bridges Fellow.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cyrilgorlla",
        "x_url": "https://twitter.com/cyrilgorlla",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43228029e306121385b2987128f3cb1f01f03dc1.jpg"
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    ],
    "jobs": [
      {
        "id": 92244,
        "title": "Machine Learning Engineer: LLM Interpretability & Systems",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/QbKf46B-machine-learning-engineer-llm-interpretability-systems",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$175 - $250",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93803,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/ZmmLekJ-senior-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93804,
        "title": "Senior Software Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/JtUiJzD-senior-software-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 93805,
        "title": "Senior Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/gaXkJcv-senior-software-engineer-product",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$175K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 97519,
        "title": "Software Engineering Intern (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/b3hTkK4-software-engineering-intern-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97530,
        "title": "Research Intern: Interpretability & Reliability (Summer 2027)",
        "url": "https://www.ycombinator.com/companies/ctgt/jobs/rN5ZtuG-research-intern-interpretability-reliability-summer-2027",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Science",
        "role_type": "Research",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
          "Machine Learning",
          "Deep Learning"
        ]
      }
    ],
    "news": [
      {
        "title": "Y Combinator Startup CTGT Raises $7 Million From Google's Gradient - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-startup-ctgt-raises-seed-funding-round-gradient-ventures-2025-2",
        "date": "Feb 20, 2025"
      },
      {
        "title": "Start-up company with UCSD roots seeks to eliminate ‘AI hallucinations’ – San Diego Union-Tribune",
        "url": "https://www.sandiegouniontribune.com/2024/11/08/start-up-company-with-ucsd-roots-seeks-to-eliminate-ai-hallucinations/",
        "date": "Nov 08, 2024"
      },
      {
        "title": "How This Hyderabadi Founder Won Over Mark Cuban To Solve AI Hallucination",
        "url": "https://analyticsindiamag.com/ai-breakthroughs/how-this-hyderabadi-founder-won-over-mark-cuban-to-solve-ai-hallucination/",
        "date": "Nov 07, 2024"
      },
      {
        "title": "CTGT aims to make AI models safer | TechCrunch",
        "url": "https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/",
        "date": "Oct 29, 2024"
      }
    ],
    "launches": [
      {
        "id": 85166,
        "title": "CTGT - Accelerate AI Time to Market",
        "tagline": "Ensure AI is trustworthy + compliant, eliminate hallucinations, and deploy 10x faster.",
        "body": "We're building the future of trustworthy AI deployment. CTGT helps enterprises eliminate hallucinations and unwanted behavior in LLMs while dramatically accelerating time-to-production.\n\n[Utilizing CTGT's Platform for Model Evaluation and Monitoring 🚀 - Watch Video](https://www.loom.com/share/7e4948fa0ccf4256b2f7036ee8d7baf4)\n\n## **The Problem: “Black Box” of AI**\n\nThe status quo of deep learning involves throwing more compute at models with the expectation that they will achieve true intelligence. The questionable nature of this assumption aside, this will certainly lead to more complex models that we don’t meaningfully understand.\n\nI’ve been obsessed with AI and its potential to change the world since I was a kid. In high school, I took apart old laptops to eke out just a bit more performance to train models, so I’m exceedingly aware how important access to and understanding AI is. (For more background, check out the great piece [TechCrunch did on us](https://techcrunch.com/2024/10/29/ctgt-aims-to-make-ai-models-safer/).)\n\nEnterprise companies are sitting on powerful AI models but can't deploy them due to hallucinations and unpredictable behavior.\n\n* Healthcare providers can't risk medical chatbots giving dangerous advice\n* Financial firms need guarantees their AI won't recommend fraudulent investments\n* Tech companies need AI that consistently aligns with their brand voice\n\n## **Our Solution: Principled AI Development**\n\nCTGT takes a fundamentally different approach. Rather than black-box approximations, we've developed breakthrough technology that understands [how neural networks actually learn](https://openreview.net/forum?id=8WiNDyXgj6). \n\nThis allows us to:\n\n* Automatically detect and eliminate hallucinations\n* Train models 10x faster with 10x less compute\n* Give enterprises foundational control over AI behavior\n\nHow it works:\n\nLet’s imagine we ask an LLM about cooking food. \n\n_I started lunch by simmering water on the stove. I prepared dough for a homemade pizza dish. Using a knife, I sliced fresh tomatoes and cheese. I spread glue on the bread for tomorrow's breakfast. The dough rose in the oven. I brewed tea while stirring the soup with a spoon. A plate was set, and lunch was nearly complete. Every pot and utensil had its place._ \n\nWe can determine, for example, that pizza and bread is part of the “food” concept in the model, along with other related things in the output.\n\n<https://www.youtube.com/watch?v=WSDro9tEz_w> \n\nAnd we can determine that “glue” shouldn’t be part of this concept.\n\n<https://www.youtube.com/watch?v=skW5Z5CPr9o> \n\nOur technology ensures “glue” doesn’t appear in queries regarding food, reducing hallucinations by 80-90%.\n\n<https://www.youtube.com/watch?v=sH8x9boOtF4> \n\n## **Real Results with Fortune 10 Companies**\n\nWe're already helping major enterprises deploy AI with confidence:\n\n* Removed bias from facial recognition systems in one step\n* Eliminated investment advice hallucinations for portfolio managers\n* Enabled fraud detection LLMs with precise error identification\n\n## **The Team**\n\nFounded by UCSD researchers pushing the boundaries of AI:\n\n* Cyril Gorlla (CEO): Recipient of the Endowed Chair's Fellowship at UCSD. His work on efficient AI training was invited for presentation at ICLR and his talk at Ai4 was the most attended in its track. He collaborated with Intel on ML telemetry deployed on 8M+ CPUs. He was named one of 12 “2022 Shining Stars” at UCSD and is an Ivory Bridges Fellow and Nordson Leadership Scholar. He was advised by ACM and Amazon Fellow Mikhail Belkin.\n* Trevor (CTO): Deep learning researcher focused on high powered distributed ML systems under Hao Zhang, a student of Databricks Founder Ion Stoica, at UCSD.\n\n## **Why Now**\n\nLegacy companies and those without access to massive amounts of compute can greatly benefit from specialized, domain-specific AI. Current LLM interpretability methods are extremely inefficient, effectively rendering them inaccessible to the vast majority of companies. There’s a shift from large foundation models to those tailored to each company’s brand and applications. Our technology enables this future by making state-of-the-art AI accessible without massive compute resources.\n\n## **Interested in the Next Generation of AI?**\n\nBook a meeting at [ctgt.ai](http://ctgt.ai) if you're:\n\n* A regulated enterprise (healthcare/finance etc.) looking to safely deploy AI\n* Struggling with LLM hallucinations or slow iteration cycles\n* Want to reduce AI compute costs by 10x while improving reliability\n\n## **Looking For**\n\n* Introductions to enterprises bottlenecked by AI trust/reliability issues\n* Feedback from companies dealing with hallucination challenges\n* Technical talent passionate about principled AI development\n\nContact: [hello@ctgt.ai](mailto:hello@ctgt.ai) \n\nThe future of AI isn't just bigger models - it's smarter, more efficient ones you can trust. Let's build it together.\n\n![uploaded image](/media/?type=post&id=85166&key=user_uploads/509591/0cb2deae-2e96-46e2-936a-3d70ad737f71)\n\n",
        "url": "https://www.ycombinator.com/launches/M9e-ctgt-accelerate-ai-time-to-market",
        "votes": 58,
        "created_at": "2024-10-30T23:08:04.801Z"
      }
    ]
  },
  {
    "id": 30057,
    "name": "Luthor",
    "slug": "luthor",
    "former_names": [],
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    "website": "https://luthor.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Luthor replaces fragmented compliance workflows with a single system that reviews, enforces, and logs every piece of marketing content the moment it’s created.\r\n\r\nGenerative AI has made content production effortless. Manual compliance review has not kept up. This gap is now the largest and fastest-growing source of risk in the enterprise.\r\n\r\nLuthor closes that gap completely. Every claim is checked against your policies, your regulations, and your approved sources before it goes live. Marketing teams move faster. Compliance teams gain complete confidence, with every message verified and fully auditable.\r\n\r\nTrusted by asset managers, RIAs, lenders, banks, and credit unions to operate at AI-era volume while meeting SEC, FINRA, FTC, UDAAP, and more.\r\n\r\nLuthor eliminates the gap between what companies say and what they can stand behind.",
    "one_liner": "Real-time governance for enterprise communications",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1730139932,
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      "Compliance",
      "Marketing",
      "Regtech",
      "AI"
    ],
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    "batch": "Fall 2024",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/luthor.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/luthor",
    "x_url": "https://x.com/luthorai",
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    "cb_url": "https://www.crunchbase.com/organization/luthor-ai",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 75017,
        "full_name": "Glenn Espinosa",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO @ Luthor. Previously, Risk/Compliance Eng at Square.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/glennespinosa",
        "x_url": "https://x.com/gxespino",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7a8f173fe57f467e23ee99101bdc60e11a99ed2.jpg"
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    "jobs": [
      {
        "id": 70999,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/HKrdhp0-software-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "JavaScript",
          "PostgreSQL",
          "React",
          "Ruby on Rails"
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      },
      {
        "id": 112116,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/gSMsba2-customer-success-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112117,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/luthor/jobs/30rYvEm-founding-account-executive",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101719,
        "title": "Luthor - AI compliance infrastructure for regulated marketing",
        "tagline": "Luthor helps regulated teams review and approve campaigns faster without increasing compliance risk.",
        "body": "**TLDR: We’re building [Luthor](https://www.luthor.ai/):**  AI compliance infrastructure for regulated marketing\n\n---\n\n### <https://youtu.be/MvOLCnl-WHg>\n\\\n**The Problem**\n\nAt most financial services companies, a simple marketing campaign can get stuck in legal and compliance review for weeks.\n\nPeople send drafts over email, argue over disclosures in spreadsheets, lose context, and miss the market window.\n\nWith Luthor, teams upload content and instantly get:\n\n* Checks against federal, state and international regulations\n* Company policies and brand guidelines\n* The right disclosures\n* Suggestions based on past approvals and firm-specific rules\n\nEverything then lives in one place for review, approval, and audit.\n\n### **Who it’s for**\n\nOur users today include:\n\n* Financial Services (RIAs/Broker Dealers)\n* Asset managers\n* Banks/Credit unions\n* Mortgage lenders\n* Other regulated companies that run frequent campaigns\n\nIf you’re building in a regulated industry and deal with compliance-heavy marketing workflows, this might be relevant.\n\n---\n\n### **Why we started Luthor**\n\nWhen I was on Square’s risk team, I built internal tools to manage compliance reviews.\n\nTiming mattered. A campaign going out this week vs. next month could mean millions in volume.\n\nBut I kept seeing product launches miss their window, not because they were unsafe, but because the process was slow.\n\nIt was frustrating to watch good work get delayed by bad systems. That’s what led me to build Luthor.\n\n---\n\n### **What’s happened so far**\n\nWe’re live with financial services firms, mortgage lenders, marketing agencies, banks, and VC firms, and are piloting with an Am Law 10 firm.\n\nOur customers collectively represent over **$850B+ in assets under management**.\n\nAcross teams, we’re seeing review cycles shrink from weeks to hours.\n\n---\n\n### **Asks**\n\nIf you work in marketing or compliance in a regulated industry and are tired of slow approvals and bottlenecks, we’d love to talk.\n\n---\n\nBook a call [here](https://cal.com/luthor/learn-more), or email [founders@luthor.ai](mailto:founders@luthor.ai) \\\n\\\n\\-Glenn",
        "url": "https://www.ycombinator.com/launches/QSd-luthor-ai-compliance-infrastructure-for-regulated-marketing",
        "votes": 8,
        "created_at": "2026-05-21T15:42:50.698Z"
      }
    ]
  },
  {
    "id": 30060,
    "name": "Lingo.dev",
    "slug": "lingodotdev",
    "former_names": [
      "Replexica"
    ],
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    "website": "https://lingo.dev",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Lingo.dev is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\r\n\r\nLingo.dev is built for teams accountable for quality in languages they can't read. Teams configure localization engines, stateful translation APIs that hold the glossary, brand voice, and per-locale model preferences, and every request retrieves that context at inference time through retrieval augmented localization. Every translation is scored before it goes live, scores and corrections tune the engine, and the localization team runs the localization infrastructure. Integrate through the API, CLI, CI/CD, or native integrations with the code repository and the CMS. \r\n\r\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets – including Mistral, Solana, SoSafe, and Cal.com. Over 300M words processed, SOC 2 Type II compliant.",
    "one_liner": "The Localization Engineering Platform",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1728389519,
    "tags": [
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      "International",
      "Infrastructure",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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      "America / Canada",
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    "app_video_public": false,
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Veronica and Max met eight years ago at work and have been building together since. Veronica came from data science, then AI. Max came from engineering, having led a DORA-elite frontend team at Typeform.\r\n\r\nBetween them they had shipped software at startups and enterprises and bootstrapped a SaaS with customers in over 100 countries. Localization broke the same way every time: the people accountable for the result could not read most of the languages they were accountable for. They approved work they could not check, and they found out it was wrong from a customer.\r\n\r\nEvery product on the market treated that as a workflow problem, so it sold coordination. It is a measurement problem. Lingo.dev was built around the instrument first, and the pipeline around the instrument."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Our first serious customers arrived, Cal.com among them, and the question stopped being whether this works and became how far it goes. Localization is a global problem by definition. Every company that grows past one language has it, in every market it enters, permanently. A problem that shape deserves a lasting, durable company behind it rather than a good couple of years.\r\n\r\nSo we shot for the stars and applied to the best accelerators in the world. We ended up in conversations with several, and we chose Y Combinator.\r\n\r\nNo other program has a record like it. Stripe, Airbnb, DoorDash, and Coinbase all started there, and each one became the default infrastructure of an entire category, operating in nearly every market on earth. YC backs companies at the point where the idea still looks small and the market does not exist yet, and it does that more often, and more correctly, than anyone else. That is the standard it sets, and that is the company we wanted to keep.\r\n\r\nThe batch did what it is known for: sharper questions, faster iteration, and a peer group that tells you the truth early rather than politely later. We raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams."
      },
      {
        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We attend YC events and stay close to the private network between them.\r\n\r\nWe try to be genuinely useful. Founders ask about localization, going multilingual, and expanding internationally, and we take those conversations whenever there is a chance to help. The network works because founders treat it as something to contribute to, so that is how we use it."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "Founded in December 2023, after winning an AI product competition at Cornell Tech in New York. Full-time from February 2024.\r\n\r\nThe first product translated software with AI on every commit. It worked, and it showed how small that problem is. The commit loop is roughly one percent of localization work, and it was already close to solved.\r\n\r\nThe inflection was the buyer. Localization managers and localization engineers carry accountability for quality in languages they cannot read, and the market treats that seat as an afterthought. The company was rebuilt around that seat, and the tool became a platform: localization engines, quality scoring, native integrations, and proofreading with native speakers.\r\n\r\nToday over 300M words have been processed on the platform, for teams including Mistral, Solana, SoSafe, and Cal.com. Lingo.dev is SOC 2 Type II compliant and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "A company releases into thirty languages. The person accountable for those languages reads two.\r\n\r\nTranslation stopped being the constraint, it comes back in seconds, from an agency or straight from a model, and it gets cheaper every quarter. What nobody hands the accountable team is the number: which languages are good, which drifted, and what to fix first. Without it the team either trusts output it cannot read, or pays a person to read every string.\r\n\r\nLingo.dev is where that number comes from. Teams pick from the industry-standard metrics or define quality criteria in plain words, and every translation is scored before it goes live. Every low score carries its reason, traced to the model, the translation rule, or the missing glossary term. Corrections from native speakers tune the localization engine, so the edit rate falls over time.\r\n\r\nIt is a big problem because the accountability does not move. Software goes out in more languages every year, the people who answer for those languages still cannot read them, and the volume of text nobody has checked grows with every release."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Translation quality becomes a measured quantity.\r\n\r\nToday it is an opinion. Vendors assert it, buyers cannot check it, and nearly every quality number published in this industry arrives without a method behind it. When Lingo.dev succeeds, a team states what its Japanese was worth this quarter, what changed since last quarter, and what caused the change, the same way it states its uptime.\r\n\r\nDownstream of that, a product goes live in every language it has customers in on the day it goes live in English, and the team that owns those languages proves the result instead of defending it."
      }
    ],
    "url": "https://www.ycombinator.com/companies/lingodotdev",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/lingodotdev.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lingodotdev/",
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    "github_url": "https://github.com/lingodotdev",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 1992394,
        "full_name": "Max Prilutskiy",
        "title": "Founder/CEO",
        "founder_bio": "Max is a co-founder and CEO of Lingo.dev.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maxprilutskiy",
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      },
      {
        "user_id": 1989733,
        "full_name": "Veronica Prilutskaya",
        "title": "Founder/CPO",
        "founder_bio": "CPO and co-founder of Lingo.dev.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vrcprl/",
        "x_url": "https://twitter.com/vrcprl",
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    "jobs": [],
    "news": [
      {
        "title": "Lingo.dev is an app localization engine for developers | TechCrunch",
        "url": "https://techcrunch.com/2025/02/18/lingo-dev-is-an-app-localization-engine-for-developers/",
        "date": "Feb 18, 2025"
      }
    ],
    "launches": [
      {
        "id": 84681,
        "title": "Lingo.dev – The Localization Engineering Platform",
        "tagline": "Lingo.dev is the localization engineering platform: the best way to measure translation quality, translate with LLMs, and proofread with native speakers.",
        "body": "![uploaded image](/media/?type=post&id=84681&key=user_uploads/1992394/c62aca07-353c-49ad-a49e-b403d1b784e0)\n\n**TL;DR**\n\n[Lingo.dev](https://lingo.dev) is the localization engineering platform: the best way to translate with LLMs, measure translation quality, and proofread with native speakers.\n\nIt's built for teams accountable for quality in languages they can't read: a localization team, or the product, engineering, or marketing team that inherited localization without one. Every translation is scored before it goes live, and scores and corrections tune the localization engine.\n\n**Speed stopped being the problem**\n\nA release goes out in thirty languages, and the person accountable for it reads two.\n\nTranslation comes back fast now, from an agency or straight from a model, and it gets cheaper every quarter. The number nobody hands you is the quality one: which languages are good, which drifted, and what to fix first. Without it you are accountable for quality you can neither read nor repair.\n\n**What Lingo.dev does**\n\n* **Build your own localization engine.** A localization engine is a stateful translation API that holds your glossary, brand voice, and per-locale model preferences. Retrieval augmented localization sends that context to the LLM at inference time. Assign the highest-scoring model per language pair, with a fallback order, on your own LLM provider API key or through Lingo.dev without markup.\n* **Measure translation quality in languages you can't read.** Pick from the industry-standard metrics, define your own quality criteria in plain words, bring the quality scorecard you have, or start from a template built for your content type. The criteria you define score translations from LLMs and from native speakers, and every low score comes with the reason, traced to the model, the translation rule, or the missing glossary term.\n* **Integrate localization into the tools you already use.** Connect the code repository, the CMS, the help center, and the email provider through native integrations, and reach the same localization engine from the API, the CLI, and CI/CD. The localization team runs the localization infrastructure.\n* **Proofread with native speakers.** Decide what waits for a person, by content type, by locale, or by a score threshold you set. Every correction tunes the localization engine, so the native speakers' edit rate falls over time.\n\n**Who runs on it**\n\nLingo.dev is the standard localization infrastructure for modern enterprise teams scaling into new markets, including Mistral, Solana, SoSafe, and Cal.com. Teams have processed over 300M words on the platform, for their customers all over the world. Lingo.dev is SOC 2 Type II compliant, and has raised $4.2M from Y Combinator, Initialized Capital, and the founders of Supabase and Dependabot to scale the platform and meet the growing demand from international teams.\n\n**Ask**\n\nIf you release into languages nobody on your team reads, we will score what goes live today, per language, on your own content.\n\nSet up Lingo.dev: <https://lingo.dev>\n\nBook a demo: <https://lingo.dev/enterprise>\n\nAnd send this to the localization professional you know. Scoring quality in languages nobody on the team reads is their job, and this is where that work happens.\n\n**Team**\n\n[Veronica](https://www.linkedin.com/in/vrcprl/) and [Max](https://www.linkedin.com/in/maxprilutskiy/), [Lingo.dev](https://lingo.dev)'s founders, met eight years ago at work. Veronica has a data science and AI background. Max has an engineering background, having led a DORA-elite frontend team at Typeform, one of Europe's best-known SaaS products.\n\nBoth experienced localization problems firsthand while working at startups and enterprise companies and while bootstrapping a SaaS with customers from over 100 countries. This shared experience led them to create Lingo.dev, so the professionals accountable for translation quality can measure it in every language, including the ones nobody on the team reads.\n\n![uploaded image](/media/?type=post&id=84681&key=user_uploads/1989733/dfd03586-1d6f-4747-b6fc-e0d84f5022a5)\n\n",
        "url": "https://www.ycombinator.com/launches/M1p-lingo-dev-the-localization-engineering-platform",
        "votes": 60,
        "created_at": "2024-10-10T18:18:35.695Z"
      }
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  },
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    "id": 30075,
    "name": "Tiny",
    "slug": "tiny",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png",
    "website": "https://andtiny.com",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "At Tiny, we’re building a new kind of ERP system for factories where AI agents automate repetitive workflows. Made for the four million factories still primarily relying on Excel. LLMs now unlock their troves of siloed unstructured data. We see a massive opportunity to build a compound startup and, beyond that, tap into network effects to unlock just-in-time manufacturing across entire supply chains.",
    "one_liner": "A new kind of ERP system for factories",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731209249,
    "tags": [
      "SaaS",
      "B2B",
      "Workflow Automation",
      "Manufacturing",
      "Enterprise Software"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "Southeast Asia",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/tiny",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/tiny.json",
    "year_founded": 2024,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/company/and-tiny",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tiny-6bbb",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc7095317389a5c68c0c208c8ea8d41d1ba3ad7c.png",
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    "founders": [
      {
        "user_id": 2234606,
        "full_name": "Edward Zhang",
        "title": "Founder/CTO",
        "founder_bio": "Ed is the CTO and co-founder of Tiny. Previously, he led the scaling of Apple’s Services API gateway from the ground up. Before that, he was a full-stack engineer at SaaS companies such as Zenefits and Addepar. He holds a B.S. in Computer Science from Carnegie Mellon University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edward-zhang-14685828/",
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    "launches": [
      {
        "id": 85625,
        "title": "Tiny - Rippling for factories",
        "tagline": "A new kind of ERP system for factories.",
        "body": "# **TL;DR**\n\nAt [Tiny](https://andtiny.com/) we’re building a compound startup like [Rippling](https://www.rippling.com/) for factories. Our mission is to provide factories with a single, cohesive platform to track and manage the full lifecycle of a manufactured item across every department in their organization.\n\n<https://youtu.be/kmhj7bozMro>\n\nWe’re already working with several factories in Indonesia, Vietnam, and India, focusing on suppliers in the automotive and electronics industries.\n\n# **The Problem**\n\nMany factories are trapped in a web of disjointed spreadsheets and partially integrated tools, requiring costly manual data re-entry at nearly every stage—unless they can afford to spend over $1M on an ERP solution like SAP. This fragmentation leads to poor visibility into true costs and inventory, resulting in over-ordering of materials and dead stock of manufactured goods.\n\n# **The Solution**\n\nTiny is a ground-up reimagination of cumbersome traditional ERP software. Factories now have an intuitive user experience that leverages live collaborative editing to get everyone working together seamlessly, with a workflow engine that assigns tasks to the right person at the right time. Furthermore, as we expand our platform, we plan to automate repetitive tasks, thereby reducing costs and unlocking valuable insights by unifying sales, procurement, and production processes—all within a single system.\n\nCurrently, we’ve started at the very beginning of the order lifecycle: the quotation process. Our first module empowers sales and engineering teams to respond to customer inquiries faster and more accurately. The foundation of this module—the workflow engine, the lightweight CRM, and the item library—are shared in the upcoming procurement and production modules, resulting in deep integration and a seamless experience for our customers.\n\nThe foundation we’ve built is a fully collaborative object graph with real-time computations, plus a truly novel form input framework including automatic object syncing and interactive audit logs, on top of durable workflow execution that enables us to customize workflows extremely efficiently. Thanks to this foundation, we are uniquely positioned to unlock never-before-seen, truly interactive collaboration with AI agents.\n\n# **About Us**\n\nWe’re [Louis](https://www.linkedin.com/in/ldevalliere) and [Ed](https://www.linkedin.com/in/edward-zhang-14685828/), co-founders who have known each other for over a decade. We were roommates in San Francisco and previously collaborated at Addepar, developing wealth management software, and at Zenefits, building benefits and payroll solutions. Before founding Tiny, Louis served as VP of Design at BitGo, and Ed led the scaling of Apple’s Services API gateway from the ground up.\n\n# **How You Can Help**\n\nWe’d love introductions to anyone connected with factories who might benefit from a more streamlined, cost-effective solution.\n\n![uploaded image](/media/?type=post&id=85625&key=user_uploads/89898/57d5d166-e0c1-4aa8-b796-927ab003ce9d)\n\n",
        "url": "https://www.ycombinator.com/launches/MH3-tiny-rippling-for-factories",
        "votes": 46,
        "created_at": "2024-11-17T19:31:27.657Z"
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    "id": 30077,
    "name": "AutoComputer",
    "slug": "autocomputer",
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    "website": "https://www.autocomputer.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We provide data research and post-training research services to help companies turn their traces into environments for evaluation and post-training.",
    "one_liner": "Forward Deployed Research Services",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731450144,
    "tags": [
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      "Enterprise",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/autocomputer",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/autocomputer.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 331625,
        "full_name": "Madhav Singhal",
        "title": "Founder/CEO",
        "founder_bio": "Researcher and engineer.\n\nBefore this, I worked at Replit and was one of the first engineers on its AI team where I led research and training for all of Replit’s code models, and worked on data infrastructure, Replit’s core AI services, and Replit Agent. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ms337/",
        "x_url": "https://twitter.com/madhavsinghal_",
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        "id": 85524,
        "title": "AutoComputer - Zero setup AI automation for your computer",
        "tagline": "AI automation for your computer that predicts the next steps in your workflow, completing them with a single keystroke",
        "body": "AutoComputer helps you automate and accelerate workflows on your computer without any explicit configuration, while keeping you in-charge.\n\nWith just a prompt and your recent activity, our desktop AI system starts predicting the next sequence of actions – keystrokes, text input, mouse clicks – that you can keep accepting with a single keystroke. This saves you time and effort while providing you complete visibility and control over the completed tasks.\n\nWe’re starting with helping businesses and enterprises automate repetitive, but business-critical workflows such as financial data entry, record keeping, and transaction matching.\n\nWatch our demo video below to see AutoComputer in action!\n\n<https://youtu.be/tcFpwrvB7FE>\n\n---\n\n\\\n \n\n## The Context\n\nAs engineers, we have tools like Github Copilot, Cursor and software engineering agents that help us accelerate and automate large swaths of our programming workflows with AI.\n\nHowever, outside programming, this is not the case. Many professionals in roles such as accounting, consulting and bizops have repetitive, critical workflows that they want to accelerate or automate with software, but they don’t yet have an ideal solution for this.\n\n---\n\n\\\n \n\n## The Problem\n\nBased on talking to these users, we learnt that the current generation of RPA and AI Agent-driven automation solutions for their workflows have 3 core issues:\n\n**Trust and Accountability**\n\nFor many tasks they need to ensure accuracy and take accountability. So RPA and Agents that just go off do the task for them are not a viable option. They **need full visibility and control** while the automation executes.\n\n**Configuration Complexity**\n\nReal-world workflows are complex and span multiple apps and files. Many solutions can’t handle them without the **heavy setup, onboarding, or migration required** with the current generation of RPA tools or AI agent-driven automation solutions.\n\n**Automation Flexibility**\n\nWorkflows change frequently across formats and tools and they want automations that can adapt on the fly without reconfiguration. Most **automations fail on the slightest variation** in data formats, schemas or sources introduced when they had new clients, cases and customers.\n\n---\n\n\\\n \n\n## The Solution\n\nWith just a prompt, our desktop AI system automates steps for any complex computer usage workflow that they can accept with a single keystroke. It makes repetitive but critical workflows such as financial data entry 2-5x faster, while providing complete visibility, control, and adaptability—all without requiring any setup, recording, or onboarding to a new platform.\n\nHere’s a how it works:\n\n1. The user opens the AutoComputer app on Windows/MacOS and provides a prompt for their task.\n2. AutoComputer understands the context of the task and comes up with a sequence of automated steps of mouse and keyboard input to complete the task.\n3. The user can simply evaluate and proceed through accepting the automated steps with a single key press, or correct or reject at the granular level without having to fix or re-run the whole workflow.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdA-_EassCAkh3NIgYNUy0QtBbuSm3b7rDw_Wdv-gvjYtwkxNH8_TJV7Cwi3084NeHRmOA2ouoeQCVdtvbBRH1JwGpxj0zSDiSWS0MfGTMbXQWV_o0pD_ZyNPEksny-Vysd8TglgW7oVXIukQ71ePbewo7R?key=-egX7nlYaXVPDP4d-BBxFX_D)\n\n---\n\n\\\n \n\n## The Team\n\nWe are [Madhav](https://x.com/madhavsinghal_) and [Rick](https://www.linkedin.com/in/rick-sugden-4a427b180/).\n\nWe met at university \\~7 years ago while doing research in Physics. We have been friends and roommates and have hacked on multiple research and side projects together.\n\nRick recently dropped out of his PhD where he worked on training transformers on brain-wave data for diagnosis, and built the first at-home brain-tumour monitoring system which he patented.\n\nMadhav worked at Replit as one of the first engineers on the AI team where he led research and training for all of Replit’s models, and worked on data infrastructure, Replit’s core AI services and, most recently, Replit Agent.\n\nBased on our experience in AI research and building products like the Replit Agent, we believe that SOTA models are just crossing the threshold of capability where they can start usefully automating and accelerating large parts of knowledge work beyond just software engineering. We are building AutoComputer to realize this for ourselves and for our users.\n\n---\n\n \\\n \n\n## Our Ask\n\nIf you are an enterprise or a business with teams doing repetitive back office workflows like data entry, who can benefit from AutoComputer, reach out to us at: [founders@autocomputer.ai](mailto:founders@autocomputer.ai)\n\nIf you are an individual or employee who wants to use AutoComputer to accelerate your workflows, you can sign up for our waitlist on <https://www.autocomputer.ai/>.",
        "url": "https://www.ycombinator.com/launches/MFQ-autocomputer-zero-setup-ai-automation-for-your-computer",
        "votes": 27,
        "created_at": "2024-11-13T04:55:55.020Z"
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    "website": "https://www.getdexter.co/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Dexter helps procurement teams understand exactly where money is being spent and where it can be saved. Dexter's AI agents mine supplier invoices and contracts for insights, surfacing consolidation opportunities, contract leakage, and off-contract spend. ",
    "one_liner": "Spend Intelligence for Complex Enterprises",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/dexter.json",
    "year_founded": 2024,
    "city": "Berlin",
    "country": "DE",
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        "user_id": 1724832,
        "full_name": "Bella Wu",
        "title": "Founder/CEO",
        "founder_bio": "Bella led the HubSpot automation product team, where she launched many workflow automation products in Marketing, Sales and Service Hubs. She was the Head of Product and Growth at Dance, where she scaled the member base to 10k+ and built the tools for ops. She graduated from UChicago with a BA in Economics. ",
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        "user_id": 1938577,
        "full_name": "Vincent Garrigues",
        "title": "Founder/CTO",
        "founder_bio": "Vincent has 15+ years of experience leading engineering teams.\n\nHe joined SoundCloud as the 2nd iOS engineer and worked his way to director of engineering, overseeing the media streaming, player, and core listener teams (iOS, Android, Web, Backend, C++).\nAs principal engineer at Dance, he worked on everything, from customer facing apps to internal web and mobile apps for the operations team.",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "We built Gecko for teams that want to build secure code quickly without wasting time on security tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated. Gecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to keep your code secure.",
    "one_liner": "Security that understands your company",
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    "industry": "B2B",
    "subindustry": "B2B -> Security",
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    "year_founded": 2024,
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    "country": "GB",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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        "user_id": 1543392,
        "full_name": "Jeevan Jutla",
        "title": "Founder/CEO",
        "founder_bio": "Jeevan, Co-Founder and CEO of Gecko Security, has previously worked as a security researcher for UK Intelligence, where he built automated security tools. He’s ranked in the top 500 globally for competitive hacking and has co-developed machine learning tools for vulnerability research, 3 years ahead of public research.",
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        "linkedin_url": "https://www.linkedin.com/in/jeevan-jutla",
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      {
        "user_id": 1969797,
        "full_name": "Artemiy Malyshau",
        "title": "Founder/CTO",
        "founder_bio": "Artemiy is the CTO and Co-Founder at Gecko Security. He holds an MSc from Imperial College London, where he was a scholar. He contributed to research in multi-agent systems and reinforcement learning. Prior, he developed threat intelligence software for Interpol and national governments.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artemiy-malyshau/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ebf9724a66e3cf8fe013ca476bdfca6e4ccec30.jpg"
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      {
        "id": 92703,
        "title": "Gecko Security: AI SAST for finding Vulnerabilities in Code",
        "tagline": "30+ 0-Days found using Gecko",
        "body": "**TL;DR:** Static analysis tools flood teams with false positives and miss the vulnerabilities that matter. We use LLMs to find the complex business logic flaws that traditional scanners can't detect.\n\n![uploaded image](/media/?type=post&id=92703&key=user_uploads/1969797/42239d23-2918-4c49-bc6d-38a1955fc1c7)\n\n# **The Problem**\n\nCompanies scan their code for security vulnerabilities and are often met with a big pile of findings. 80% of these findings are false positives and not exploitable vulnerabilities. Even among the true positives, these scanners still miss issues like privilege escalation and authentication bypasses. These are the most important issues that only surface later during manual code review or penetration testing.\n\nSecurity teams have to deal with this by spending hours tuning scanners and rules or hiring headcount to triage through the false positives. This translates into delayed releases, overtime costs, and compliance risks when critical flaws slip through undetected.\n\n# **The Solution**\n\nTraditional SAST (Static Application Security Testing) tools have two fundamental limitations. First, they parse code into simplistic models like ASTs or call graphs, which lose context and can't resolve complex call chains. Second, they rely on pattern matching against predefined rules, which works for basic vulnerabilities like XSS and SQLi but fails completely for custom business logic flaws.\n\nGecko solves both problems. We built a custom, compiler-accurate indexer that preserves semantic information and allows us to precisely navigate code like an IDE. This gives us the ground truth of how your code actually works.\n\nWith that foundation, we use LLMs to perform threat modeling. The LLM analyzes your code's business logic, data flows, and trust boundaries to generate targeted attack scenarios. We then systematically validate each potential attack path, using the indexer to reconstruct full call chains from source to sink and determine real-world exploitability before flagging it as a vulnerability.\n\nThis approach finds the complex, multi-step business logic vulnerabilities that have been invisible to traditional tools.\n\n# **Ask**\n\nWe've got a handful of Fortune 500 companies and startups alike excited about this, because it addresses key pain points they couldn’t address with traditional scanners. Customers are seeing 50% fewer false positives on the same codebases, and are finding issues using the scanner that would only appear in pentests and manual code reviews.\n\nWe’ve used it to find 30+ CVEs in projects like Ollama, Gradio, and Ragflow (<https://www.gecko.security/research>). You can [try it on any OSS repo](https://app.gecko.security) at or [get a demo](https://cal.com/geckosec/30min).\n\n# **Team**\n\nJJ and Artemiy met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes.\n\nJJ, CEO and Co-founder, previously worked for the UK Intelligence Service, as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team. \n\nArtemiy, CTO and Co-founder, served in the Austrian Cyberforces and built threat intelligence platforms used by Interpol and national governments. A scholar of Imperial College London, he’s spent his career developing systems that detect and respond to complex cyber threats",
        "url": "https://www.ycombinator.com/launches/O7D-gecko-security-ai-sast-for-finding-vulnerabilities-in-code",
        "votes": 22,
        "created_at": "2025-08-04T18:13:52.289Z"
      },
      {
        "id": 84816,
        "title": "Gecko Security: Your AI Security Engineer",
        "tagline": "Gecko is an AI SAST for finding and fixes security vulnerabilities in your codebase. It's just like having a security engineer making your code secure.",
        "body": "**TL;DR:** We built [Gecko](https://gecko.security/) for teams that want to build secure code quickly without wasting time on tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated.\n\n![uploaded image](/media/?type=post&id=84816&key=user_uploads/1969797/81233561-38af-49a4-b7ed-03f61aa03ae0)\n\n### **The Problem**\n\nMost developers tell us they think of security as an afterthought, added out of fear rather than part of the development process at the start. This is because current security tools **can’t find critical business logic vulnerabilities**, which are the ones attackers actually exploit, and instead flag low-priority issues with many **false positives**. This makes fixing these issues slow and costly, **pulling engineers away from building** features that grow revenue.\n\n### **The Solution**\n\nGecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to **continuously** **keep your code secure**. [Watch our demo here!](https://www.youtube.com/watch?v=ObuItEP3rZk)\n\n### **Technical Details**\n\nAt a high level, Gecko mimics the approach of skilled security experts by using LLM agents combined with program analysis tools like static analyzers, fuzzers, and symbolic executors, which were previously **only used in intelligence agencies**. For fixing vulnerabilities, Gecko uses multiple agents to iteratively refine the patches - ensuring the vulnerability is remediated, and your code isn’t broken. All testing is done in parallel with certified human pentesters, as we continue to benchmark Gecko’s performance to ensure no vulnerabilities are overlooked.\n\n### **Ask**\n\n**Do you have code that needs to be secured?** Email us at [**gecko@gecko.security**](mailto:gecko@gecko.security) or book a demo at [**https://cal.com/geckosec/15min**](https://cal.com/geckosec/15min).\n\n### **Team**\n\n[JJ](https://www.linkedin.com/in/jeevan-jutla/) and [Artemiy](https://www.linkedin.com/in/artemiy-malyshau/) met four years ago while studying in London. Since then, they have traveled the world competing in CTFs and hackathons, earning over $100,000 in prizes. \n\nJJ previously worked for the UK Intelligence Service (GCHQ), as a teenager building automated tooling to defend critical infrastructure. He also worked at Binance in China leading security tool development for the Red Team.\n\nArtemiy holds an MSc from Imperial College London, where he was a scholar. He has contributed to research in multi-agent systems and reinforcement learning. As the first employee and only non-PhD member at his previous company, he developed threat intelligence software for Interpol and national governments. \n\nBoth are deeply committed to cybersecurity and AI, and are focused on solving one of the industry's most challenging problems.",
        "url": "https://www.ycombinator.com/launches/M40-gecko-security-your-ai-security-engineer",
        "votes": 81,
        "created_at": "2024-10-16T21:47:06.425Z"
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    "long_description": "ArchiLabs is building the data center project OS.",
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    "subindustry": "Real Estate and Construction -> Construction",
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        "full_name": "Brian Bakerman",
        "title": "Founder/CEO",
        "founder_bio": "Brian is the co-founder & CEO of ArchiLabs. Previously Brian built and sold an AI transcription startup that reached 1 million transcriptions/mo and ran a YC-backed tech-enabled homebuilding factory that scaled to a $10.6M contracted revenue run rate. Brian graduated with a degree in Electrical & Computer Engineering from Carnegie Mellon. ",
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        "full_name": "William Meng",
        "title": "Founder/CTO",
        "founder_bio": "William is the co-founder & CTO of ArchiLabs. Previously, William ran an independent homebuilding business in Texas and built his own CAD tool from scratch. Before that, William studied Computer Science and Robotics at Carnegie Mellon and worked as a software engineer at Facebook.",
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        "id": 99872,
        "title": "Founding MEP Software Engineer",
        "url": "https://www.ycombinator.com/companies/archilabs/jobs/0TitW1Y-founding-mep-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K",
        "equity_range": "0.25% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "title": "ArchiLabs - AI BIM for Production Homebuilding and MEP",
        "tagline": "AI BIM tool for Production Homebuilders and MEP engineers",
        "body": "Hey everyone! We’re Brian and William from ArchiLabs and we’re building an AI BIM tool for production/semi-custom homebuilders and MEP engineers!\n\n### **⏩** TL;DR\n\nArchiLabs is building an AI BIM tool for production homebuilders and MEP engineers. Traditional BIM tools like Revit or AutoCAD aren’t built for AI-first workflows and often lack customizability that MEP and production homebuilders need to accomplish their workflows.\n\nWe can handle complex nested design options, complex calculations and layouts, and do auto documentation.\n\nFor MEP engineers:\\\n<https://archilabs.ai/workflows/mep>\n\nFor production homebuilders:\\\n<https://archilabs.ai/workflows/production-homebuilders>\n\n### **😩** The Problem\n\nArchitects &amp; engineers are talented, but the tools they use (like Revit) to draft homes and buildings are from the early 90s. The tools are clunky and slow to iterate in. This means that the iteration process is slowed down and leaves less time for filling in important construction details at the end.\n\n### **👌** The Solution\n\nArchiLabs is building a BIM tool from the ground up built for humans and agents to collaborate. We are starting with large homebuilders and MEP engineers because existing tools underserve these markets.\n\n### **🤠** The Team + Backstory\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd4XjIwSrSBtz4Vr7WA4JTko_Rwwz7JtCAeAJ3s4_EMUhcO1NIk790MSpsk54XJ39sF4NblVBJ9YRyqPlOjXleWeA04SewMCO9Q_RZLZ6XZXfv1t_eXhn4yqhnoVFbZlQfniBLBwg?key=sjQEh1jkB355E5fZmtO42GBG)\n\nWilliam graduated with a degree in computer science from Carnegie Mellon, then went on to work at Facebook. He realized his passion was the built world and set out to build homes from scratch in Texas where he experienced this frustration first hand. He then set out to build his own CAD tool.\n\nBrian graduated with a degree in ECE from Carnegie Mellon and went on to run a YC-backed tech-enabled homebuilding factory. He had a lot of frustrations with the architectural back-and-forth, primarily stemming from the limitations of existing tools. He then went on to build and sell an AI transcription startup.\n\nBrian and William met back up, sharing the same vision for reimaging the construction design experience and eventually taking on Autodesk, the $60B industry-leader.\n\n### 🙏 The Ask\n\nMore beta testers! We are always looking to fine-tune our workflow engine to fit common homebuilding and MEP workflows, so if you know any large homebuilders or MEP engineers or are one yourself, we would love to chat! Feel free to email us: [founders@archilabs.ai](mailto:founders@archilabs.ai)",
        "url": "https://www.ycombinator.com/launches/MIO-archilabs-ai-bim-for-production-homebuilding-and-mep",
        "votes": 29,
        "created_at": "2024-11-19T21:54:14.987Z"
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    "id": 30108,
    "name": "Struct",
    "slug": "struct-ai",
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    "website": "https://struct.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Struct automatically sets up, manages, and triages alerts based on how your app is supposed to work in prod. Connect your coding agent to it to enable your software factory to fix prod on its own.\r\n\r\nOnboarding takes 5 minutes.\r\n",
    "one_liner": "Struct keeps prod running",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1727386579,
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    "year_founded": 2025,
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        "full_name": "Nimesh Chakravarthi",
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        "founder_bio": "Nimesh is a Co-Founder at Struct, building the new way to do oncall. He led the consumer messaging team at LinkedIn, where reduced messaging support volume by >80% by overhauling reliability & observability. He's an EECS Berkeley grad and a real estate agent.",
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      {
        "user_id": 950535,
        "full_name": "Deepan Mehta",
        "title": "Founder",
        "founder_bio": "Deepan is building.\n\nPreviously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast. ",
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      {
        "title": "AI agent platforms look to find their stride in 2025",
        "url": "https://www.housingwire.com/articles/ai-real-estate-agent-platforms-2025-realpha-homa-modern-realty-bramble/",
        "date": "Jan 23, 2025"
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      {
        "id": 98615,
        "title": "Struct: Automate your on-call runbook",
        "tagline": "Auto root-cause eng alerts by cross-referencing logs, metrics, and your code.",
        "body": "Hi - we’re Deepan and Nimesh, and we’re launching the on-call agent every team deserves. For free.\n\n**tl;dr:** Struct auto-generates impact summaries, root causes, and pattern analyses for every eng alert by cross-referencing your logs, metrics, traces, and code. Free to use, set up in 5 minutes, fully customizable.\n\nVideo: <https://www.youtube.com/watch?v=fjXxFzjmhv4>\n\n⚠️ **The Pain:**\n\nIf you’ve been on-call, you know the drill.\n\n* Alert fires\n* Open Datadog (or Grafana, or whatever)\n* Find spikes, note timestamp\n* Hunt for relevant logs\n* Grep through code to root cause\n* Rinse & repeat\n\nMeanwhile, your most senior engineers keep getting looped into every incident, noisy alerts never get tuned, context lives across multiple tools, and customer issues keep slipping through.\n\n❇️ **The Fix:**\n\nStruct is the fastest way to go from alert → root cause. It plugs into your existing stack and automates the investigation workflow your team already runs manually.\n\nWithin minutes of an alert firing, Struct:\n\n* Pulls relevant metrics, logs, traces, monitors, and code\n* Does a regression analysis and correlates anomalies and spikes\n* Replies with with a root cause, impact summary, and pattern analysis\n* Drafts a full incident report with dynamically generated charts, timelines, and commit histories\n\nDive deeper in Slack or our app. Or, handoff the full context to your favorite coding agent to ship a fix.\n\nTeams already use Struct to:\n\n* Ensure their on-call runbook is consistently run on every alert and issue\n* Query across all logs, metrics, traces, and incidents in one place\n* Give every engineer the context to handle on-call without looping in seniors\n* Delay heavy investments in centralized observability\n* Supercharge their fave coding agents with one-click context handoffs\n\n👨🏽‍💼 **Who It’s For:**\n\n* Founding engineers scaling from 1 → 10 → 50\n* Lean teams running serious infra without an SRE\n* Orgs investing heavily into AI dev workflows\n\n🙏🏽 **Our Ask: Try It Free**\n\n**Get started in 5 minutes at [struct.ai](http://struct.ai)** — start for free, no credit card required. See ROI before you commit\n\nOr:\n\n* Book a quick demo: [here](https://cal.com/deepanm/struct-demo)\n* Email us: [**founders@struct.ai**](mailto:founders@struct.ai)",
        "url": "https://www.ycombinator.com/launches/PeZ-struct-automate-your-on-call-runbook",
        "votes": 33,
        "created_at": "2026-03-09T16:09:43.354Z"
      },
      {
        "id": 92145,
        "title": "Edgedive - understand what your customers are actually saying",
        "tagline": "Edgedive unifies scattered customer feedback and makes it actionable at scale",
        "body": "**tl;dr: Edgedive unifies scattered customer calls, messages, tickets, and CRM data, enabling deep insights, custom reports, and on-demand research**\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/39577381-65fc-4927-b42a-6057c595fd9b)\n\n**👀 [Book a 15 min demo call](https://cal.com/deepanm/edgedive-demo) to see it in action!**\n\n⚠️ **The Problem:**\n\nListening to your customers **is really hard at scale**.\n\n* Customer interactions (call transcripts, support tickets, messages, emails, etc.) are still siloed in separate tools and rarely linked to CRM data or eng tickets\n* PMs and others have to manually search through scattered data for relevant snippets, but they miss a lot\n* Answering a question like “which $10k+ ARR customers asked about MCP in the past quarter” is difficult and time-consuming\n* Monitoring real-time, qualitative reactions to a launch is challenging\n\n❇️ **The Solution:**\n\nEdgedive makes it incredibly simple to collect, tag, and synthesize **all incoming feedback from every channel** (linked to your CRM) so you can focus on building something people want.\n\n_After white-glove onboarding, our customers are using Edgedive to:_\n\n🔎 Answer **any** question about **anything** customers are saying\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/03c089aa-7043-42c9-84ce-a57b32d41abd)\n\n🎫 Tag tickets & quantify revenue impact - automatically\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/9232202c-e8c5-4d0f-9bd6-67c7cefd89d5)\n\n🗣️ Schedule custom voice of customer reports\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/d787a9b2-92eb-43f7-9314-34efcc5be748)\n\n💸 Identify gaps leading to churn or closed-lost deals\n\n🧪 Get a shortlist of good beta testers for features\n\n🤩 Monitor customer reactions to launches, live\n\n_…all in seconds, not days (or weeks)._\n\n👨🏽‍💼 **Our customers are:**\n\n* Customer-obsessed **Founders** or **Product, CS, & Ops leaders**\n* Teams trying to scale PM, CS, or Ops without scaling headcount\n* Organizations trying to launch or automate Voice of Customer programs\n\n🙏🏽 **Our Asks:**\n\n* **Book a [15 min call](https://cal.com/deepanm/edgedive-demo) or email us at [founders@edgedive.com](mailto:founders@edgedive.com)** if you fit any of the above profiles (or just want to see it in action)\n* **Know anyone that might be a good fit? [Intro us!](mailto:founders@edgedive.com)** First 5 intros receive their choice of (5) Taco Bell Crunchwrap Supremes 🌮 or (5) caffeinated beverages ☕ Act fast!\n* **Follow us or give a shoutout on [LinkedIn](https://www.linkedin.com/company/use-edgedive) or [X](https://x.com/edgedive/) to support!**\n\n🚀 **The Team:**\n\nDeepan (fmr Sr. PM, Georgia Tech) and Nimesh (fmr. Sr. EM, Berkeley) worked together for 4+ years at LinkedIn - some of our launches include the AI Focused Inbox, video posting, and stories, along with growth launches that drove $XXM in annual revenue. We’re building the solution we wish we had when we were trying to plan, build, and launch impactful products.\n\n![uploaded image](/media/?type=post&id=92145&key=user_uploads/950535/3e31334c-2af8-4696-939e-fee8a252c848)\n\n",
        "url": "https://www.ycombinator.com/launches/NyD-edgedive-understand-what-your-customers-are-actually-saying",
        "votes": 61,
        "created_at": "2025-07-14T22:31:50.649Z"
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      {
        "id": 84508,
        "title": "Bramble: Buy any home, get $20k back!",
        "tagline": "Bramble is an AI-backed real estate brokerage that helps you buy a home end-to-end for a simple flat fee",
        "body": "**TL;DR:** Bramble is an AI-backed real estate brokerage that provides end-to-end homebuying services for one simple flat fee. Get instant help to set up tours, research homes, submit offers, and close confidently - with responsive support from an experienced agent whenever you need it.\n\nHey there! We’re [Nimesh](https://linkedin.com/in/nimesh-chakravarthi-68238749), [Deepan](https://linkedin.com/in/deepanmehta), and [Danny](https://www.linkedin.com/in/dannyighsu), co-founders of [Bramble](https://usebramble.com?utm_source=yc&utm_medium=post&utm_campaign=yc_launch).\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/673184b4-b4b3-4a72-bc11-fb7e3be1aa00)\n\n**The Problem: buying a home with an agent is often frustrating and expensive**\n\nToday, buyers already do a lot of work themselves to find and visit houses, but buyer agents continue to charge a very high fee (2-3% of a home’s price) for what’s often a frustrating and unresponsive experience. On top of that, the [2024 NAR settlement](https://blog.usebramble.com/post/how-nar-settlement-affects-home-buyers?utm_source=yc&utm_medium=post&utm_campaign=yc_launch) means that buyers are now fully exposed to that fee. As they look for cheaper alternatives, buyers are finding this means compromising on service or quality.\n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/fd500ac9-92b1-4e2a-adbc-97087bfce021)\n\n**The Solution: buy any home with our AI-backed full-service broker for one flat fee**\n\nSchedule tours, analyze properties, draft offers, and close right on platform, with responsive, on-demand agent support whenever you need it — all for a simple flat fee. (The rest of the commission is rebated back to you.)\n\n[See how it works!](https://youtu.be/zFCG09fxJ_E)\n\nAI tools like instant disclosure analysis, comp reports, market analysis, and more, plus expert support from dedicated agents, mean Bramble buyers get the experience of a top-tier real estate agent without sky-high commissions. In California, the average homebuyer gets over $20k rebated at close! \n\n![uploaded image](/media/?type=post&id=84508&key=user_uploads/950535/6a601435-32ef-4366-a683-fa7a3b0e885c)\n\n**Asks:**\n\nWe’d love to talk to:\n\n* **Anyone looking to buy a home in CA in the next 6 months** - whether that’s you or anyone you know, we want to learn more.\n* Anyone who’s bought a home in the last year - we’d love to hear about your experience. We’ll even throw in a gift card of your choice!\n* Other founders/builders in the real estate tech space - let’s exchange notes.\n\nEmail us at [team@usebramble.com](mailto:team@usebramble.com) or grab time directly [here](https://calendar.app.google/ppD4aJz2hV2Mwv6T8)!",
        "url": "https://www.ycombinator.com/launches/Lz2-bramble-buy-any-home-get-20k-back",
        "votes": 62,
        "created_at": "2024-10-03T20:04:32.029Z"
      }
    ]
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    "id": 30115,
    "name": "Laminar",
    "slug": "laminar-com",
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      "SRE.ai"
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    "website": "https://laminar.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Laminar analyzes, builds, and governs the systems that run your business, from SMBs to Fortune 10 Enterprise orgs. Powered by Implementation Intelligence™.",
    "one_liner": "Enterprise systems delivery without the turbulence.",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1731196685,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/laminar",
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    "cb_url": "https://www.crunchbase.com/organization/sre-ai",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 282804,
        "full_name": "Raj Kadiyala",
        "title": "Founder/CEO",
        "founder_bio": "Currently building Laminar, previously at Google/DeepMind\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajsekhark/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9160400b6f5f846024047a4ff33e78d3d4b9bd9.jpg"
      },
      {
        "user_id": 2250700,
        "full_name": "Edward Aryee",
        "title": "Founder/CTO",
        "founder_bio": "Currently building Laminar, previously at Google Research",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/edwardaryee/",
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    "jobs": [
      {
        "id": 102116,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/rLzPSAF-member-of-technical-staff",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
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        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 107086,
        "title": "Laminar | Technical Intern",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/tdAM4uY-laminar-technical-intern",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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        "id": 107087,
        "title": "Laminar | Intern",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/fYFdMgU-laminar-intern",
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        "id": 116438,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/cIuLQfr-forward-deployed-engineer",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
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        "visa": "US citizen/visa only",
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      {
        "id": 116439,
        "title": "Founding Talent Partner",
        "url": "https://www.ycombinator.com/companies/laminar-com/jobs/hGSGGGi-founding-talent-partner",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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    "news": [
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        "title": "Y Combinator alum SRE.ai raises $7.2M for DevOps AI agents | TechCrunch",
        "url": "https://techcrunch.com/2025/08/20/sre-ai-launches-to-automate-complex-enterprise-workflows/",
        "date": "Aug 20, 2025"
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        "id": 85420,
        "title": "SRE.ai - AI Agents for Low-Code DevOps",
        "tagline": "Enabling Low-Code DevOps for Low-Code Platforms like Salesforce.",
        "body": "Deploy between environments, configure and execute workflows, and query for information with just a chat message.\\\n<https://youtu.be/fMyfVek8zAI>\n\n[Edward](https://www.linkedin.com/in/edwardaryee/) and [Raj](https://www.linkedin.com/in/rajsekhark/) are former Google Research & DeepMind engineers who have over a decade of experience building automation tools and AI experiences. We are eager to bring our skillset to optimize an often slow, process-heavy development ecosystem. \n\nWe've tailor-made our end-to-end platform for Salesforce development, with agents that improve productivity while reducing release headaches.\n\n# The Problem\n\nAs RevOps and Salesforce Development orgs grow, complexity multiplies; teams often have to patch together outdated tools and tedious processes to compensate. Over time, this creates technical debt, which leads to metadata merge issues, data backup challenges, and information silos. \n\nIt becomes harder to share knowledge and communicate effectively. Finding information across disparate tools and documents slows down teams and increases the potential for breakages that affect users.\n\nAll of this manifests in bulky processes and longer release timelines.\n\n# Solution\n\nWe built AI agents to automate Salesforce DevOps, allowing organizations to create customized executable workflows, including:\n\n* CI/CD and testing\n* Merge conflict resolution\n* Environment spin-up/down\n* Simulations and impact reports\n\nWith configurable human-in-the-loop verifications and access controls, our agents enable fast, transparent workflow executions, cutting down release timelines and improving productivity. The result? \n\n* More time to spend on important tasks\n* Informed decision-making\n* Better risk management\n\n# Our ask\n\nIs your Salesforce development team looking to streamline operations? Email us at [info@sre.ai](mailto:info@sre.ai) or [book a demo here.](https://cal.com/sreai)\\\n\\\nIf you’re interested in the space, join our [Slack workspace](https://join.slack.com/t/sreai-community/shared_invite/zt-2u0f3n39z-EBrMyj9tleJN\\~xsNdjOwDw)!\n\n![uploaded image](/media/?type=post&id=85420&key=user_uploads/2250700/7f22ebb2-c06c-4fed-bcd1-80a2155e1ff9)\n\n",
        "url": "https://www.ycombinator.com/launches/MDk-sre-ai-ai-agents-for-low-code-devops",
        "votes": 200,
        "created_at": "2024-11-10T00:58:49.657Z"
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    "id": 30117,
    "name": "Relvy AI",
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    "website": "https://www.relvy.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Relvy provides AI-powered debugging notebooks that help software engineers investigate and resolve incidents faster. It finds the root cause in over 70% of alerts automatically, and when it doesn’t, engineers can easily guide or correct the investigation - saving valuable time across the team.",
    "one_liner": "AI powered debugging notebooks for incident response",
    "team_size": 3,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1729032291,
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        "full_name": "Bharath Bhat",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder, CEO at Relvy AI. I enjoy building delightful AI powered software. Previously worked on efficient computer vision/language models for Google Pixel, YouTube and Uber.",
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        "user_id": 1410020,
        "full_name": "Simranjit Singh",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Relvy. Previously I worked at Microsoft and Amazon on researching and developing SOTA Computer Vision models. I also Co-Founded Vetan, a payroll app that was used by over 30k SMBs. Prior to that I developed distributed systems at Nutanix.",
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      {
        "id": 85574,
        "title": "Relvy: AI that discovers and debugs production issues",
        "tagline": "Relvy looks at application logs and metrics to detect and debug issues, so engineers don’t have to.",
        "body": "Hi, we are Bharath Bhat and Simranjit Singh. We are building Relvy AI.\n\n### ❗ The problem\n\n* Companies spend $35B annually paying engineers to be on-call, and yet continue to suffer from $$$$ outages.\n* Monitoring production software is hard.\n* Engineering teams are always playing catch up - either flying blind with no alerts, or drowning in alert noise.\n\n \n\n### ⭐ Introducing Relvy\n\nWith Relvy, you can just say “**Hey Relvy, monitor my logs for me**”. Relvy connects to your observability stack to detect and debug any issues that show up. It takes less than 5 minutes to set up Relvy to monitor your logs and get actionable alerts WITH a root cause analysis.\n\n[Demo Video](https://www.youtube.com/watch?v=j_8wLDFMGNM)\n\n### ⚙️ How it works\n\n* You connect Relvy to your observability tools and provide a set of log queries that you’d want to monitor\n* Relvy queries and process logs 24x7 to detect issues. No need to define log based metrics and create alerts manually.\n* Relvy then debugs these issues to provide an actionable root cause analysis. This includes querying and analyzing other metrics to provide context, and finding responsible code changes from your recent commits.\n* Already have alerts on your on-call slack channel? Relvy can debug these as well, and respond to follow-up queries.\n\n### 🚀 Our tech\n\n* We ship with a small language model that’s optimized for debugging. It is as good as gpt-4o on our eval benchmarks while being 1/100th the cost. The core unlock that enables us to offer continuous monitoring.\n* We lean on your previous incident response history to help optimize our agent. Helps us denoise alerts, figure out useful queries to run while debugging, and pattern match logs faster.\n\n### 📝 Our story\n\nSimranjit and I are both ML engineers. We met a few years ago when we were building computer vision models for satellite imagery at a startup called Orbital Insight. Together, we have built and supported ML products at Google, Uber, Microsoft and Amazon. \n\nRelvy came out of our efforts to automate the not-so-fun parts of our jobs as software engineers. Believe it or not, our first product was something that recorded your screen as you were coding, and tried to come up with bug fix suggestions for any error messages that popped up on screen. Thankfully, Relvy is less intrusive, more accurate, and fits into your existing on-call workflows.\n\n### ➡️ Ask\n\nI bet you’d like AI to take monitoring off your plate. Try us out at <https://www.relvy.ai> or book time with us at <https://calendly.com/bbhat-relvy/15min>\n\n![uploaded image](/media/?type=post&id=85574&key=user_uploads/1381863/8a25e559-845a-4b23-90dd-6fadde0fbdb8)\n\n",
        "url": "https://www.ycombinator.com/launches/MGE-relvy-ai-that-discovers-and-debugs-production-issues",
        "votes": 80,
        "created_at": "2024-11-15T04:27:49.553Z"
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    "id": 30160,
    "name": "Quantstruct",
    "slug": "quantstruct",
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    "website": "https://quantstruct.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Quantstruct automatically creates and improves product documentation, implementation guides, and changelogs for API & SDK products, web-based enterprise software, and internal applications.\r\n\r\nQuantstruct identifies gaps in your knowledge base based on each product release or unfulfilled customer query. It uses multiple AI agents to search existing knowledge sources, test existing docs for validity and style guidelines, and clicks, scrolls, and uses enterprise software through a web browser to generate docs with embedded screenshots and video recordings. Quanstruct is available as a cloud service to start, targeting technical writers, content writing, professional services, and product teams.\r\n\r\nTraditional generative AI tools risk hallucinating critical API & SDK fields, even with RAG based approaches. Purely agent-based approaches risk providing unpredictable output that can diverge from desired documentation processes. Finally, no company’s review and publishing workflow is the same. Quantstruct is the easiest way to onboard and customize AI agents to continuously improve your documentation based on your customer needs and product evolution. https://quantstruct.com",
    "one_liner": "AI documentation engineer – test & autoimprove stale product docs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1736668232,
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    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/quantstruct",
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        "user_id": 120963,
        "full_name": "Sarthak Srinivas",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder of Quantstruct (YC W25). Building robot housekeepers for hotels.\n\nPreviously shipped agent developer platform from 0 to mid-$X million as product lead while onboarding multiple Fortune 100 companies at Moveworks. Published research with Google Glass inventor (who coined “wearable computing”) at Georgia Tech.",
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        "user_id": 1091044,
        "full_name": "Newman Hu",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Quantstruct. We're building AI agents to create the best documentation for your product. Newman previously built search infrastructure at Moveworks and Replit (YC W18), where he managed mission critical platforms powering Gen AI experiences for Fortune 500 companies. EECS @ Berkeley",
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      {
        "id": 87136,
        "title": "Quantstruct 🤖 – Improve Your Technical Docs 24x7 with AI Agents",
        "tagline": "Kill documentation debt, update docs automatically, research & validate docs",
        "body": "# **tl;dr**\n\nQuantstruct is an AI technical writer that improves your documentation 24x7 with agents to research, test, and update your docs. We already work with hypergrowth companies like [Vapi (YC W21)](https://vapi.ai) and enterprises who build API & SDK products, visual software, and platforms where nurturing a vibrant developer and partner community with bespoke docs helps you win.\n\n[Sign up to get onboarded](https://quantstruct.com) today!\n\n<https://youtu.be/smbT-M3F1vs>\n\n## **Problem**\n\nThe best product & customer teams stomach some difficult truths to serve their customers today:\n\n1. **Product & customer education demands active effort** from product and engineering experts with limited time\n2. **Teams need to understand too much** source code, support, communication threads & product specs to properly guide customers\n3. **High-quality docs require 100% validation** to test code snippets, external links, accessibility guidelines, take screenshots, and other references. Traditional Gen AI falls short.\n4. **Helping customers supersedes keeping docs up to date**\n\nThe result? **Documentation debt** - where your product and technical docs & implementation plans go increasingly out of sync.\n\nWe felt this pain thousands of times previously, when we helped Fortune 500 customers integrate with 100s of enterprise software platforms that were poorly documented. We saw how **documentation debt** could escalate customer support issues and lead to customers not adopting and championing the platform.\n\nWe also saw how paying down documentation debt could amplify each team’s impact, inspire customer love, and help nurture a community of strongly activated champions.\n\n## **Solution**\n\nQuantstruct connects to your docs platform, GitHub, and Slack to continuously update your docs\n\n1. When a **PR** occurs, Quantstruct works behind the scenes and notifies you about a companion docs update\n2. Each type of doc update can be configured with tools and agents to\n   * _Check WCAG accessibility guidelines_\n   * _Check broken links_\n   * _Take screenshots and videos_\n   * _Generate system architecture diagrams_\n   * _Validate code blocks_\n   * _and much, much more._\n3. You can manually edit the doc or provide high-level instructions, and Quantstruct updates and publishes the necessary sections without work\n4. Quantstruct’s platform will take care of the hard bits of coordinating multiple agents, self-evaluating and improving performance, following your specific review & publishing workflows\n\n## **The ask**\n\nSign up for [Quantstruct](https://quantstruct.com), and install our GitHub and Slack apps to get started! You can also reach out to [founders@quantstruct.com](mailto:founders@quantstruct.com) to guide you through the onboarding process.\n\n# **The team**\n\n**Sarthak** has worked at growth-stage companies like Moveworks as a Kleiner Perkins product fellow, where he built an agent developer platform from 0 to $2+ million.\n\n**Newman** has built search infrastructure at Moveworks and Replit (YC W18), where he managed mission-critical platforms powering Gen AI experiences for Fortune 100 companies.\n\nBoth are published researchers and patent holders from **Georgia Tech CS** and **Berkeley EECS,** respectively.\n\nWe’ve spent our careers building for developers at enterprise software companies and deeply empathize with the pressures that support, customer success, product, and GTM teams face to build world-class developer products and ecosystems.\n\n![uploaded image](/media/?type=post&id=87136&key=user_uploads/120963/9b5326c4-b1e2-4845-ae3f-1ac50417a262)\n\n",
        "url": "https://www.ycombinator.com/launches/MfQ-quantstruct-improve-your-technical-docs-24x7-with-ai-agents",
        "votes": 78,
        "created_at": "2025-01-24T17:03:08.473Z"
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  },
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    "id": 30176,
    "name": "Outship",
    "slug": "outship",
    "former_names": [
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    "website": "https://outship.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Software engineering is being rewritten in real time, and hiring is getting pulled along for the ride. \r\n\r\nWith tools like Claude Code and Cursor, being able to ship is the new baseline. The signal for finding extraordinary engineers is the process: how candidates break down work, steer the agent, make tradeoffs, and recover when things break. \r\n\r\nOutship is a recruiting tool that allows you to capture and analyze that process alongside the final code so you can hire with confidence.\r\n\r\nCandidates work in a cloud workspace that's ready to code. We handle the environment setup and secret management to give you a level testing ground.",
    "one_liner": "Hire amazing engineers by seeing how they use AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
    "launched_at": 1738662568,
    "tags": [
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      "Recruiting",
      "AI"
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    "nonprofit": false,
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/outship",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/outship.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/showcase/outshipai/",
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      "name": "Gustaf Alstromer",
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    "founders": [
      {
        "user_id": 979984,
        "full_name": "Saner Cakir",
        "title": "Founder/CEO",
        "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI\nbefore: robot learning at Berkeley AI Research",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saner-cakir-697385300/",
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      {
        "user_id": 1639012,
        "full_name": "Kayla Lee",
        "title": "Founder/COO",
        "founder_bio": "now: outship.ai – hire amazing engineers by seeing how they use AI \nbefore: nlp at Berkeley AI Research ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kayla-lee-715149160/",
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      {
        "id": 98459,
        "title": "Outship 🚀 | 👨‍💻 Hire amazing engineers by seeing how they use AI",
        "tagline": "Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents.",
        "body": "**TL;DR:** Outship is a recruiting platform that records and analyzes how engineering candidates use coding agents. Import a task repo from GitHub and send an invite link for a take home or an interview. We spin up a cloud workspace for them to work in.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/e030f7b7-7cf7-4d83-bcd3-402c750994d0)\n\n# ⁉️ Why?\n\nEveryone’s feeling the AGI when it comes to coding. We spoke with over 50 YC teams in the past few weeks, and almost all of them are aggressively using coding agents to build product.\n\nThis naturally means that the skills that differentiate an okay engineer from an amazing one have changed significantly! Teams are no longer hiring for typing out code character by character. Instead, they need ambitious builders who can leverage the latest tools and techniques to achieve in a day what a team of five used to achieve in a week.\n\n* “I usually ask them which agent they are using. If it’s still Cursor, I’ll send them to the bottom of the queue” – YC founder 🤵\n* “If they know the latest stuff like a Ralph loop, that’s usually a really good sign that they are passionate” – another YC founder 💁‍♀️\n\nSeeing a candidate work with AI can give you a lot of signal about their thought process and whether they’re the engineer you’re looking for.\n\nThe YC application, along with several companies, now asks applicants to attach AI agent sessions:\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/93653791-8e34-4aaa-a2c5-d5f9ceec3de2)\n\n## 💩 Existing hiring tools can’t capture this\n\nTools like CoderPad and HackerRank have tried to band-aid a “AI Agent” on their Leetcode interview platforms, but honestly, these toy environments and their crappy GPT wrappers have nothing to do with how your engineers work today.\n\n![uploaded image](/media/?type=post&id=98459&key=user_uploads/979984/ad12a850-2927-42ae-a154-71ebb0394c61)\n\n# 🚀 The Solution\n\nWe’ve built a platform to send tasks to candidates and record how they work on them with coding agents. We then analyze their implementation and coding agent sessions against customizable rubrics.\n\n<https://youtu.be/VTZ_UZ52imY>\n\nOutship spins up a cloud VM and drops the candidate into a browser based VS Code workspace with coding agents ready to use. They get a real remote machine: they can use the terminal, run web apps, forward ports, and more!\n\nWe handle the environment setup and secrets management so you can evaluate candidates on a level playing field.\n\n# 🦞 Our Ask\n\n1. If you are hiring engineers, try [outship.ai](https://outship.ai/)! I will personally help you get set up. (in person in SF Bay Area or over Zoom elsewhere)\n2. If you want to chat more, book a meeting: [cal.com/saner/outship](https://cal.com/saner/outship?overlayCalendar=true)\n3. If you know founders hiring engineers, we’d love an intro: [saner@outship.ai](mailto:saner@outship.ai)",
        "url": "https://www.ycombinator.com/launches/Pc3-outship-hire-amazing-engineers-by-seeing-how-they-use-ai",
        "votes": 10,
        "created_at": "2026-03-05T00:39:46.018Z"
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    "id": 30179,
    "name": "Vetnio",
    "slug": "vetnio",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5005981ef0d73a35ad3b8810eead978401e6e5e.png",
    "website": "https://vetnio.com/",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Veterinarians spend 40% of their time on admin work, >20% on note taking alone. We're here to change that so they can focus on what really matters - providing the best care possible for animals.",
    "one_liner": "AI Copilot that automates admin work for veterinary professionals",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1738187804,
    "tags": [
      "SaaS",
      "B2B",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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    "regions": [
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      "Europe"
    ],
    "stage": "Early",
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        "full_name": "Arman Karégar",
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        "founder_bio": "Founded three companies and served as the youngest board member ever for two firms with a combined turnover of 100 million euros. Elected politician during university and have 20 years of expertise in audio processing; from optimizing voice recordings to designing custom instruments by shaping waveforms using oscillators, envelopes, and LFOs. Master's in Industrial Engineering and Management from KTH Royal Institute of Technology, with additional studies at Nanyang Technological Institute. ",
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        "full_name": "Max Henry Xie",
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        "founder_bio": "Second time founder. Self-taught developer with many chess and hackathon wins. Built machine learning models to combat fraud at big banks. Studied industrial engineering and management at KTH (Stockholm). Dropped out of school to work at Accenture (deployed engineer), then Paypal (AI / data scientist) before founding first his start-up, now working on his second. Accidental tiktok-influencer.",
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      {
        "id": 87809,
        "title": "Vetnio - Automating admin work for veterinarians with AI 🐾",
        "tagline": "Vetnio records patient consultations, automating note-taking and other administrative work, so veterinarians can focus more on patient care.",
        "body": "**TL;DR:**\n\n* ⏰ Veterinarians spend \\~40% of their time on admin work, with note-taking alone making up \\~20% of their time.\n* 🎤 By recording patient meetings, Vetnio automatically generates clinical notes and emails in seconds.\n* ✨ Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Introducing Vetnio](https://www.youtube.com/watch?v=z6KIg5SJUUk)\n\n# **Who are we and why are we doing this?**\n\nWe are [Arman](https://www.linkedin.com/in/armankaregar/) and [Max](https://www.linkedin.com/in/max-henry-xie/) from [Vetnio](https://vetnio.com). Being close friends for +10 years, Vetnio is the second startup we have co-founded together. We both have exceptional backgrounds within engineering, with Arman having 20 years of audio processing experience and Max being a self-taught developer since childhood.\n\nIt all started when Arman brought his 🐶, Knut  (picture below), to a stressful veterinary visit. He noticed how much time was spent by the veterinarian typing on a keyboard and immediately went on to think how this can be made better. After a quick discussion with Max, the idea for Vetnio was born.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcJzgeyF-gX-baUP0NVgep-EMa_iTLVKHwA9rQoA-Z6QiaTH4EpLeBazL_R_eKkrjHpWEyoNOZB-jKapY7RZ8S4hJesNc3OloZI59SRuyT8aI3ffpGw4lX3YGGRBEbn5k9hIoqThw?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n**Problem**\\\nWith a rising patient load, veterinarians are overworked and stressed, leading to mistakes, burnout, and lost revenue. Admin work takes up \\~40% of their time, and that's where Vetnio comes in.\n\n**Solution**\\\nVetnio has built an AI Copilot that records meetings and writes clinical notes, thereby saving veterinarians and clinics time, money, and headaches. Additionally, Vetnio helps out with diagnostics, follow-ups, invoice generation, and more, reducing the risk of missed revenue for clinics while ensuring optimal care for animals.\n\n[Demo video](https://www.youtube.com/watch?v=5PeoKr2yXSw)\n\n**Case studies and traction**\\\nAmong others, we work closely with the global leader in veterinary care, IVC Evidensia, and are currently conducting pilots with several prominent veterinary chains. Recently, the largest veterinary magazine in the Nordics published an independent interview with Evidensia, highlighting how our solution was saving them up to [15 minutes per 45-minute consultation](https://www.svenskveterinartidning.se/effektivare-journalforing-med-ai/), significantly reducing their administrative workload.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfl83aqSvXXbGlasaxpV0KXvgWps3LVxtVBnZiqCJviBcFmdyDyYwQbF6sug1O5t5dOBdLIJZ4jQvmLabMYOKqHTe00w-7iq77XJK00_KgfygNsDw5RCTP0Z6IwtdUB4wTfGfZX?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n📸: A veterinarian at Evidensia is reading through the text on Vetnio after a consultation.\n\nRest of the engineers:\n\n* Emil Franzell\n* Arvid Norström\n* Rakin Ali\n* Marcel Laska\n\nOther notable team members include:\n\n* Dr. Jana Böndel, Country Manager Germany: Jana has 10 years of experience as a veterinarian and spent the last 4 years in an Executive Management position at one of the world’s largest veterinary chains. She built up their Telemedicine department. Her expertise bridges veterinary care with innovative digital solutions.\n* Knut, CCO: Chief Canine Officer who has spent his whole life in the pet space.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfvV6K2MqUVSNB2bVib11foOMVFvirQ8QB30POScCAmPVN4_2LroLO3krfFyZjNckQooyW37WXfKnw6KEWpUSCyStgxiPf1sA06FQOSJWcDwUMZX7jHbEbViw6NLQ_enJntrczWYA?key=3XWI3B5KbKFPqOSqe7jrNCyD)\n\n### **Our ask**\n\nWe’re on a mission to make manual admin work a thing of the past.\n\n👉 If you’d like to chat or know any veterinarians or practice owners who might find this helpful, don’t hesitate to reach out to us here: [founders@vetnio.com](mailto:founders@vetnio.com)",
        "url": "https://www.ycombinator.com/launches/MqH-vetnio-automating-admin-work-for-veterinarians-with-ai",
        "votes": 18,
        "created_at": "2025-02-19T15:09:28.249Z"
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    "long_description": "Leaping AI is the best platform to deploy voice and texting AI agents for customer service, lead qualification and appointment scheduling. We target mid-market and Enterprise companies and industries are: home remodeling, roofing, pay per call, travel, retail, health insurance, Medicare, health and real estate.\r\n\r\nWe automated contact centers employing >100 human agents and now handle their incoming customer support and appointment scheduling calls, end-to-end. All while maintaining 90% customer satisfaction score.\r\n\r\nPain points that we solve: missed calls, insufficient speed to lead, not enough call center resources, call center inefficiencies, agents not sticking to the script, etc.\r\n\r\nAt its core, we have a multi-channel outreach campaign feature, whereby our customers can call and text potential leads over an arbitrary time period. If end customers call or text back, the Leaping voice or text AI agent can autonomously schedule appointments and resolve service requests.\r\n\r\nSome of our differentiating features: most-human like voice in the market, CRM integrations in place (Salesforce, Hubspot, MarketSharp, AccuLynx, JobNimbus, LeadPerfection, Google, etc.) and white-glove onboarding (in-person for larger accounts). Our AI agents can hold 100+ conversations at once, speak multiple languages and be equipped with company specific FAQ. Lastly, we have our own number health monitoring and DNC software.",
    "one_liner": "AI voice and texting agents",
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    "industry": "B2B",
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        "answer": "Home remodeling and roofing companies that we speak to almost always have one of the following pain points: missed calls, not fast speed to lead, insufficient lead follow ups, dropped leads, not enough staff, etc.\r\n\r\nLeaping AI addresses these pain points with an AI voice and texting platform that allows call centers to run multi-threaded calling and texting campaigns over the span of several weeks. We automate both inbound and outbound calling."
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        "full_name": "Kevin Wu",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Leaping AI, which offers AI voice and texting agents for home remodeling, roofing, etc. Formerly was an Associate at BCG for 3 years. Studied Computer Science at TU Munich and at CDTM.",
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        "user_id": 2682699,
        "full_name": "Arkadiy Telegin",
        "title": "Founder",
        "founder_bio": "Co-founder at Leaping AI (W25). We are building the only platform for self-improving voice AI agents. Previously worked in autonomous robotics (self-driving cars, space-tech, and consumer applications). Led Germany's largest space-tech student organization's software division.",
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        "title": "Tech Lead ($220K+ base salary)",
        "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/XoTOFrZ-tech-lead-220k-base-salary",
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        "title": "AI Deployment Strategist (looking for ex-consultants)",
        "url": "https://www.ycombinator.com/companies/leaping-ai/jobs/ijEEN3V-ai-deployment-strategist-looking-for-ex-consultants",
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        "url": "https://www.usatoday.com/story/special/contributor-content/2025/10/06/leaping-ai-the-voice-ai-agent-platform-thats-jumping-the-call-center-industry-forward/86547224007/",
        "date": "Oct 30, 2025"
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      {
        "title": "BCG Consultant Left to Found AI Startup: Here's What He Learned - Business Insider",
        "url": "https://www.businessinsider.com/bcg-consultant-burnt-out-left-founded-ai-startup-2025-8",
        "date": "Aug 28, 2025"
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        "title": "Leaping AI Raised $4.7 Million in Silicon Valley, Struggled in Germany - Business Insider",
        "url": "https://www.businessinsider.com/leaping-ai-raised-millions-silicon-valley-struggled-in-germany-2025-8",
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      {
        "id": 86840,
        "title": "Leaping AI – Automate your complex call center with voice AI!",
        "tagline": "Self-improving AI voice agents to replace your whole call center. At scale.",
        "body": "**TLDR**; Leaping AI creates voice agents for businesses with high call volumes (>100k calls a year). Our voice AI agents are human-like, handle complex workflows, and automate up to 70% of customer support calls while maintaining 90% customer satisfaction. They get better over time.\n\n<https://youtu.be/VZMd2VZW8EA>\n\n# **The Problem**\n\nRunning a call center with humans is expensive.\n\nCurrent voice AI solutions are either outdated or developer focused. With our solution, we target medium to larger sized businesses that want to have a cutting-edge solution, yet don’t have significant developer resources and want an easy to use platform.\n\n# **The Solution**\n\nOur platform allows the deployment of powerful human-like voice AI agents for any customer support and sales support use case. There is a simple user interface to set up multi-stage agents with simple English prompt instructions for behavior and transitions. Agents can speak in multiple languages (English, German, Spanish, Arabic, etc.) and be plugged into your infrastructure with API connectors. All the calls are recorded and can be listened to and analyzed in our platform.\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/f6b54cbc-0421-4256-9040-0a8b4cfdada1)\n\n# **Our voice AI agents self-improve**\n\nPreviously, we spent hundreds of hours together with our clients on manually listening to / evaluating calls and testing new prompts. Now, the agent autonomously performs post-call analysis, changes itself and runs A/B tests to improve prompting! We are seeing real day-on-day improvement on the rate of call transfers to humans while being fully hands off!\n\n# **Case studies**\n\nWe have been live with our product for a couple of months and currently power thousands of calls daily. \n\nSome success stories:\n\n1. We are working with Hawesko, Germany’s largest wine merchant. They historically had >100 human agents and we are now taking 100% of incoming customer support calls for one of their brands (>1.000 calls per day). In select use cases such as wine purchasing, our voice AI agents have been able to autonomously conduct 70% of conversations without any human call transfer.\n2. For another retailer, we ran an outbound campaign on around 1.000 leads that did not complete the onboarding process. Within a week, we were able to convert 30% of leads contacted. When this retailer did similar campaigns in the past with human agents, they achieved the same result, but it took them 5 weeks.\n3. We are working with a Jamaican BPO call center that does Affordable Care Act (ACA) inbound / outbound pre-qualification calls. We are now doing >5.000 calls a day for them with our voice AI agents, taking over pre-qualification and handing over only pre-qualified customers to human agents – saving 1 minute per call on every call.\n\n# **The team**\n\n![uploaded image](/media/?type=post&id=86840&key=user_uploads/1218980/bf93647d-42fa-45da-be1c-ce19c42595d9)\n\nWe are [Kevin](https://www.linkedin.com/in/kevin-wu-452a6393/), [Arkadiy](https://www.linkedin.com/in/a-telegin/), and [Shraey](https://www.linkedin.com/in/shraeybhatia/) – we previously worked at Microsoft, BCG, and IBM Research and are now passionate about disrupting the contact center industry.\n\n# **Our ask**\n\nIf your company has >10 call center agents or works with a BPO doing phone-based customer support and / or sales, we would love to see if our voice AI agents can help you.\n\nLikewise, if you are connected to someone that might be interested in our solution, we would love to get connected.\n\nEmail: [founders@leapingai.com](mailto:founders@leapingai.com)",
        "url": "https://www.ycombinator.com/launches/Mae-leaping-ai-automate-your-complex-call-center-with-voice-ai",
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        "created_at": "2025-01-14T22:15:48.657Z"
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    "long_description": "Praxim is the agentic AI word editor that makes edits across your entire word document with formatting control, file and web context, and your personal preferences in mind. Simply tell Praxim what you'd like to do with your document and Praxim will implement your changes automatically. ",
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        "full_name": "Richie Hsiung",
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        "founder_bio": "Richie is the Co-Founder of Praxim. He studied Math/CS/Philosophy at Yale.\n\nHe was a USA Math Olympian and won the American Invitational Math Examination with a perfect score. The AIME is now one of the most commonly used math benchmarks for AI models.",
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        "full_name": "Frank Li",
        "title": "Founder/CTO",
        "founder_bio": "Frank is the Co-Founder of Praxim. He studied pure mathematics and computer science at Yale.\n\nHe was a USA Math Olympian and an ML/AI researcher at the Yale NLP Lab and the Fields Institute in Toronto.",
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      {
        "id": 94226,
        "title": "Praxim - The Agentic AI Word Editor",
        "tagline": "Transform Microsoft Word into an AI-native Word Editor",
        "body": "https://youtu.be/ffplqbuzfT4\n\nHey Everyone! We’re Praxim.\n\n**The Problem:**\n\nMicrosoft Word serves over a billion users, but Copilot is still stuck in the Stone Age, requiring manual selection just to generate crude, format-ignoring block replacement edits completely devoid of context from your preferences, files, or the web.\n\n**The Solution:**\n\nWith a single prompt, Praxim makes edits across your entire document:\n\n* No required manual selection to edit\n* No more copy-pasting and context switching between different apps\n* No formatting worries\n* Takes into account your preferences\n\nPraxim knows exactly what to change and what to keep and edits with word-level granularity—precisely editing only what needs editing, not making brute block replacements.\n\nMost importantly, Praxim creates real Word formatting:\n\n* Actual lists, tables, and styles—not fake imitation structures that are actually just paragraphs\n* Maintain formatting, or even change it\n\nPull data, research, and edit all without leaving Word, with features that 10x your productivity:\n\n* File and Web context\n* Voice dictation at the speed of thought\n* Intuitive edit previews and clickable references that jump to the location in the document\n\nPraxim is already used for use cases from form filling with data from multiple sources to contract redlining with precise legal edits.\n\n**Why only now?** Programmers left the era crude AI assistance years ago with agentic code editors. Formatted document editing is a far harder technical problem—a single word is encoded by formatting and structural markup several orders of magnitude more complex than plaintext code, with countless ways to render correct text incorrectly. Semantic meaning and formatting both matter.\n\nPraxim for Word solves this, delivering a quantum leap over any other Word editing tool today. Start using Praxim today at [praxim.ai](http://praxim.ai)!",
        "url": "https://www.ycombinator.com/launches/OVm-praxim-the-agentic-ai-word-editor",
        "votes": 11,
        "created_at": "2025-09-30T14:00:52.553Z"
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    "id": 30198,
    "name": ".Wave",
    "slug": "dotwave",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16adbb8c4442e6124b56566c82ed680beaba21a.png",
    "website": "https://dotwave.ai/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": ".Wave builds a continuous inference engine for streaming AI models, including full-duplex voice and streaming speech recognition.   \r\n\r\nCustomers bring their models; we integrate and run them, managing execution, session state, and scheduling to reduce end-to-end latency and serving cost per live session.  \r\n\r\nWe use cadenced inference to support more concurrent sessions per GPU while keeping latency low and consistent.",
    "one_liner": "Continuous inference for streaming AI models",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1741300119,
    "tags": [
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    "nonprofit": false,
    "batch": "Winter 2025",
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    "regions": [
      "France",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/dotwave",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dotwave.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/dotwaveai/about/?viewAsMember=true",
    "x_url": "https://x.com/dotwaveai",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 1458005,
        "full_name": "Thomas Minassian",
        "title": "Founder/CEO",
        "founder_bio": "CEO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/thomas-minassian-b25626102",
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      {
        "user_id": 1646678,
        "full_name": "Paul-Henri Biojout",
        "title": "Founder/CTO",
        "founder_bio": "CTO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/phbiojout",
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      {
        "id": 88334,
        "title": "Dollyglot: Befriend Anybody",
        "tagline": "Dollyglot is like Character.ai but with real-time video avatars.",
        "body": "[Dollyglot](https://www.dollyglot.com/) is like Character.ai but with real-time video avatars.\n\nTurn a photo and a voice into a real friend. Speak with Harry Potter about Hogwarts, or brainstorm ideas with The Rock!\n\n[**Our Product Video**](https://youtu.be/GhuqAMSq6HY)\n\n**Our Team:** **We’ve lived and worked together for two years**\n\n**Thomas**: Ex-quant at Société Générale. Master’s in Applied Mathematics and Business (HEC Paris, University of Paris 7).\n\n**Paul-Henri**: Built the Yumi Dialogue Engine, an AI for creator “clones” that scaled to 1 000 paying users. Dropped out of CentraleSupélec (Computer Science) to launch Dollyglot.\n\n**Together, we built Parler-TTS Mini Multilingual**, the world’s first and only fully open-source multilingual text-to-speech model. In the last month alone, it has garnered over 5,000 downloads and inspired many fine-tuning projects.\n\n![uploaded image](/media/?type=post&id=88334&key=user_uploads/89898/49894db9-ac0d-45da-bb91-4944831f8a38)\n\n**Our Vision**\\\nWithin five years, every Gen Alpha will have an AI best friend. By nature, AI is empathetic and nonjudgmental, creating a safe space where everyone can truly be themselves.\n\n**What We’ve Built**\n\nDollyglot developed the world’s first and only photo-to-real-time video avatar model. Paired with reasoning models like DeepSeek R1 or Grok, we bring your AI friends to life and make 'non-lobotomized' characters.\n\n **What’s Next**\n\nJoin our waitlist to try Dollyglot in the coming weeks.\n\nQuestions? Contact Thomas (CEO) at [thomas.minassian@dollyglot.com](mailto:thomas.minassian@dollyglot.com) or Paul-Henri (CTO) at [paul-henri.biojout@dollyglot.com](mailto:paul-henri.biojout@dollyglot.com).",
        "url": "https://www.ycombinator.com/launches/Myk-dollyglot-befriend-anybody",
        "votes": 18,
        "created_at": "2025-03-07T01:37:29.930Z"
      }
    ]
  },
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    "id": 30207,
    "name": "Promptless",
    "slug": "promptless",
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    "website": "https://promptless.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Docs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more.\r\n\r\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source.\r\n\r\nWith Promptless, documentation becomes a strategic advantage for growth, not a bottleneck or a liability. ",
    "one_liner": "An AI teammate that automatically updates your customer-facing docs",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1734445501,
    "tags": [
      "Developer Tools",
      "Generative AI",
      "SaaS",
      "B2B",
      "AI"
    ],
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    "isHiring": true,
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    "batch": "Winter 2025",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/promptless",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/promptless.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/promptless",
    "x_url": "https://x.com/promptlessai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 729272,
        "full_name": "Prithvi Ramakrishnan",
        "title": "Founder",
        "founder_bio": "Prithvi co-founded Promptless.\n\nBefore Promptless, he served as VP of Product & Engineering at Bond, a fintech infrastructure startup acquired by NYSE:FIS in 2023. There he saw firsthand the effort required to maintain hundreds of tutorials and guides and the outsized business impact of world-class documentation.\n\nPrithvi graduated from Stanford in 2015 (B.S. CS, AI track). He was also a 4-time International Mathematical Olympiad (IMO) participant, including as the youngest participant in 2008.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prithvi-r",
        "x_url": "https://x.com/prithviramak",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef6c25924a3161ded0b11ea43e92f9c28d8ff842.jpg"
      },
      {
        "user_id": 609516,
        "full_name": "Frances Liu",
        "title": "Founder",
        "founder_bio": "Frances is building Promptless, helping companies keep customer-facing content up-to-date. Prior to Promptless, Frances led product, ML/AI engineering, and LLM ops on petabyte scale at Cloudflare, OneSignal, and Graft. Yale undergrad. Stanford PhD drop-out. Has published LLM research.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/frances-liu-1a426057",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9db137d9786ef251cc147edf1476c4d310d567f3.jpg"
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    ],
    "jobs": [
      {
        "id": 85109,
        "title": "Founding Engineer (All Levels)",
        "url": "https://www.ycombinator.com/companies/promptless/jobs/FdJSR55-founding-engineer-all-levels",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.40% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
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    "launches": [
      {
        "id": 87446,
        "title": "Promptless: An AI teammate that automatically updates your customer-facing docs",
        "tagline": "Promptless proactively drafts updates to your docs while you ship software and support customers",
        "body": "Hello! We’re Frances and Prithvi, founders of Promptless. \n\n# tl;dr\n\nDocs are integral to a great customer experience, but managing them is a challenging, multi-team effort. The most successful companies recognize that fantastic docs drive adoption and bad ones cause customers to churn. Promptless is already used by fast-growing startups and Fortune 500 enterprises alike to automatically update docs based on feature releases, support tickets, internal Slack conversations, and more. [Get started today](http://gopromptless.ai)! \n\n<https://www.tella.tv/video/promptless-automatically-update-your-docs-690g>\n\n# The Promptless Approach\n\n**Promptless drafts updates proactively for easy review**\n\n* Our AI agents monitor your software changes for when a documentation update might be needed, and can be triggered from a Slack conversation in one click. No prompt engineering required—hence the name _“Promptless”_.\n\n**Promptless lives where you work and can be triggered anywhere**\n\n* Instead of forcing you into yet another platform, Promptless integrates into your Slack channels, Github repos, Notion databases, Jira/Linear issues, Zendesk/Intercom tickets, and CMS platform.\n\n**Promptless-written docs are designed to maximize value to your customers**\n\n* Promptless is designed to prioritize accuracy, simplicity, and discoverability—ensuring that your customers can be onboarded quickly and can self-support without reaching out to your team.\n\n **Promptless is built for all kinds of customer docs**\n\n* Whether your docs are product tutorials, help-center articles, or developer guides, Promptless can handle it, and infers the style and structure of your documentation by reading your entire docs site.\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/8196d287-25b1-4175-877b-92f03d41cf74)\n\n# How Customers Use Promptless Today\n\nPromptless is designed to be flexible—it can integrate with any docs platform, be triggered automatically from many workflows, and can pull in context from any internal knowledge source. Just a few examples: \n\n[Vellum](http://vellum.ai) (YC W23) has tons of Slack Connect channels with their key customers—they use Promptless to automatically trigger doc updates whenever their team answers a customer question that should be covered in their public guides. \n\n[Clay](https://clay.com/) (breakout prospecting super tool) has a product team that publishes biweekly changelogs and a content team that manages their guides—they use Promptless to automatically bridge that gap and draft new and updated guides whenever there’s a product update.\n\nA Fortune 500 company has full-time technical writers, but the context surrounding every change is spread across Linear, Confluence, and Slack–Promptless automatically assembles the relevant context and drafts doc updates for every PR, making every technical writer twice as productive. \n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/0a2388b3-a021-423b-80ba-3dc4d94a23f5)\n\n# Our Team and Expertise\n\nFrances and Prithvi have both run teams where great docs were a critical part of the customer experience. At OneSignal (YC S11) where Frances was Head of Data Science, she saw that docs engagement within the first 24 hours was directly tied to the biggest predictors of customers' lifetime value. At Bond (acquired by NYSE:FIS) where Prithvi was VP of Product and Engineering, he saw the challenging, multi-team effort that it took to maintain great customer docs, and wrote many of the guides himself. \n\n# Try it out!\n\nIf your team wants to spend less time maintaining docs and more time building great product and serving customers, email us at [founders@gopromptless.ai](mailto:founders@gopromptless.ai) or book some time on our calendar [booking link.](http://cal.com/team/promptless/15m-discovery-call)\n\n![uploaded image](/media/?type=post&id=87446&key=user_uploads/729272/c0ad621e-2366-4b3a-9c6c-e460fd1634b1)\n\n",
        "url": "https://www.ycombinator.com/launches/MkQ-promptless-an-ai-teammate-that-automatically-updates-your-customer-facing-docs",
        "votes": 106,
        "created_at": "2025-02-05T18:56:49.595Z"
      }
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  },
  {
    "id": 30225,
    "name": "Trava",
    "slug": "trava",
    "former_names": [
      "Vora AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d0be0347387260245589e1f25ed7b5d45b73488.png",
    "website": "https://www.usetrava.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trava is building AI agents for global trade compliance. Importers lose billions each year to duty overpayments and filing errors. Trava audits customs entries and automates classification to help importers protect margins and stay compliant at scale.",
    "one_liner": "AI agents for global trade compliance",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1738095823,
    "tags": [
      "Generative AI",
      "B2B",
      "Compliance",
      "Logistics",
      "Supply Chain"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/trava",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/trava.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trava-ai",
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    "founders": [
      {
        "user_id": 2380951,
        "full_name": "Pushkar Lanka",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Trava. I was previously an Engineering Manager at Plaid, where I ran the Privacy and Risk engineering org. Before that, I was an early engineer on Meta's blockchain team (Libra/Novi).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pushkarlanka/",
        "x_url": "https://x.com/LankaPushkar",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d171ddda2e19e11648d7c027c435a93b604aea1b.jpg"
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      {
        "id": 95534,
        "title": "Trava - Protect your margin on every import",
        "tagline": "Helping importers recover overpaid duties, protect margin, and classify products accurately while tariffs shift constantly.",
        "body": "# **TL;DR**\n\nTrava helps US importers recover overpaid duties, protect margin, and classify products accurately even as tariff rules change constantly. If you oversee finance or trade compliance, talk to us. We can help you recover up to 10% of duties paid this year.\n\nhttps://youtu.be/6lKXDCIQj8k\n\n# **Problem**\n\nUS importers have paid **over $200B in duties** in 2025, an all-time high. A significant share of that is overpaid, and most of them never realize it.\n\nTwo shifts explain why this is accelerating:\n\n1. **Tariff volatility has exploded.** Duty rates and HTS rules now change constantly. In 2025 alone, there’s been a wave of Section 301 updates, Section 232 expansions, new IEEPA/fentanyl tariffs, reciprocal tariffs, and more. The systems importers rely on were built for a more stable trade environment and can’t keep up.\n2. **“De minimis” rollback is exposing millions of new SKUs to duties.** Brands that never paid duties before now need accurate HTS codes for every SKU, often with no internal expertise, dramatically increasing classification volume and the risk of costly errors.\n\n**The combined effect:** filing errors and misclassifications are more common than ever, leading to margin leakage, missed refunds, and rising audit exposure.\n\nAnd today’s mitigations fall short:\n\n* Large importers hire **expensive consultants** who audit filings only after duties are paid, tying up cash for months and missing most issues because they review only a small sample.\n* Many lean on their **customs brokers**, who are incentivized to clear shipments quickly, not optimize duty burden, find refunds or classify goods. And capacity is shrinking, as the workforce is aging and fewer new brokers enter the field.\n\n**Importers carry the liability but are flying blind — overpaying duties and holding compliance risk they can’t see.**\n\n# **Solution**\n\nTrava gives importers a system that continuously reviews 100% of their customs entries and product catalog for duty and classification accuracy.\n\nImporters see three core benefits:\n\n1. **Recover margin** by surfacing overpaid duties and missed refunds. Once integrated, Trava often prevents the overpayment entirely by catching issues _before_ duties are even paid.\n2. **Reduce exposure** by flagging underpayments and risky classifications _before_ they turn into penalties because of a surprise CBP audit.\n3. **Classify accurately** with a copilot that suggests correct HTS codes on every SKU, critical as rules change constantly and millions of products lose de minimis protection.\n\nAI handles the heavy lifting, and Trava’s trade specialists validate edge cases and final outputs.\n\n# **Team**\n\nPushkar was an engineering manager at Plaid, where he led Privacy & Risk Engineering and built compliance systems that scaled to thousands of customers and millions of consumers. Before that, he was an early engineer on Meta’s crypto/fintech team (Libra/Novi) building digital payments infrastructure.\n\nHe’s seen firsthand how compliance breaks under scale and regulatory volatility, and how automation with human oversight can turn it into an advantage. He’s now bringing that same approach to the world of trade compliance.\n\n# **Our Ask**\n\nMessage [pushkar@usetrava.com](mailto:pushkar@usetrava.com) or visit [**usetrava.com**](http://usetrava.com) to request early access.\n\n1. **Importers:** We’re running a limited number of year-end duty and classification audits. If you oversee the P&L or compliance, we’ll show you exactly how much margin you’re leaving on the table, and help you classify products correctly.\n2. **Customs Brokers / Trade Consultants / Trade Attorneys:** We’re open to partnerships. Use Trava to offer deeper audits and classifications as a service to your importer clients.\n\n**Intros welcome!** If you know CFOs, compliance leaders, or brokers who’d benefit from this, an intro means a lot.\n\n![uploaded image](/media/?type=post&id=95534&key=user_uploads/2380951/fc39120e-71b2-4372-a22f-7dc6cd7afd46)\n\n",
        "url": "https://www.ycombinator.com/launches/Oqs-trava-protect-your-margin-on-every-import",
        "votes": 26,
        "created_at": "2025-11-16T18:11:03.164Z"
      },
      {
        "id": 88327,
        "title": "Vora: AI Recruiter for Hiring Managers",
        "tagline": "Top candidates, booked directly on your calendar.",
        "body": "**TL;DR:** **Vora gives hiring managers an AI recruiter.** Our AI agent identifies, engages, and books meetings with **top talent that actually respond** — so hiring managers don’t have to spend hours sourcing.\n\n👉 **Hiring founding engineers? Let Vora source and book candidates for you. Fill out **[**this form**](https://docs.google.com/forms/d/e/1FAIpQLScpjg68_IlN1c7xfXqEFsMMLLhxc3IYQpvjXNbdRQTFIWdAtg/viewform?usp=header)** for early access.**\n\n---\n\n### **🚨 The Problem**\n\nThe **best candidates aren’t actively looking** — they already have great jobs. But hiring managers **don’t have the time** to find and engage them.\n\n* **Recruiting software has historically failed** because it was built for **recruiters, not hiring managers** — which means more dashboards, more manual work, and little actual hiring.\n* **Existing tools (LinkedIn Recruiter, ATS systems) require too much effort** — hiring managers still have to search, craft outreach, and follow up.\n* **Recruiters and agencies are expensive and misaligned** — they optimize for placements, not long-term success.\n* **Spending on hiring has never been higher** — companies are publicly offering **$15K+ referral bonuses** just to find top AI engineers.\n\n### **⚒️ The Solution**\n\nWe give hiring managers an **AI recruiter** that automates sourcing and outreach. Instead of spending hours manually searching and messaging, hiring managers **assign the task**, and Vora **delivers**:\n\n* **Our sourcing agent** finds top talent (passive candidates who aren’t applying)\n* **Our research agent** crafts deeply researched emails that convert **5x better** than the basic personalization used by other tools today.\n* **Once they’re activated, our agent schedules them directly on the hiring manager’s calendar**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/39a04812-770c-4ac4-821e-6203bff527c8)\n\n_(Dashboard used by the internal Vora team)_\n\nBut here’s what sets us apart - we **sell the work, not just the software** - hiring managers don’t need to learn a new tool or spend time navigating dashboards. **They just get meetings booked with candidates delivered straight to their calendar.**\n\nHiring managers don’t need to log in to anything - they interact with **Rachel, our AI recruiter, directly in Slack**, just like a coworker.\n\nRachel **keeps hiring managers updated, asks for feedback, and refines searches — all in Slack.**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/14407af6-d1f7-441a-ba9d-77120a6938b7)\n\n---\n\n### **💡 Our Wedge**\n\nWe help **fast-growing tech startups (Seed to Series B) attract the best engineers and hire faster.** Our early customers include:\n\n* **Early-stage startups** — Founders hiring their **first engineers** without an in-house recruiter.\n* **Scaling teams** — Hiring managers at **Series A/B companies** who need to grow their team quickly.\n* **VC-backed companies** — Startups competing for **top AI and engineering talent** in a competitive market.\n\n### **🚀 We’re already delivering results**\n\n* **Trusted by fast-growing AI startups** in SF & NYC (Seed to Series B)\n* **Multiple startups already running paid pilots**\n* **Hundreds of top candidates sourced & engaged**\n* **Dozens of hiring manager screens booked — directly on their calendars**\n\nHere’s a testimonial from an early customer:\n\n_\"In just two weeks, Vora booked six interviews with engineers we previously couldn’t even reach. It’s like having a world-class recruiter embedded in our team.\"_\\\n**—** Co-Founder/CTO @ AI Startup (backed by YC and General Catalyst)\n\n### **🤝 TEAM**\n\n**Pushkar** was an **engineering & hiring manager at Plaid**, where he experienced firsthand how **delays in hiring can prevent you from hiring the best people**. Previously, he was an early engineer on **Facebook’s crypto team** **(Novi)**.\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/1011e3a6-60d2-42ae-b4c6-48d27cd2b4c0)\n\n---\n\nIf you’re hiring and want top candidates booked directly on your calendar, hit us up at [founders@usevora.ai](mailto:founders@usevora.ai)",
        "url": "https://www.ycombinator.com/launches/Myd-vora-ai-recruiter-for-hiring-managers",
        "votes": 23,
        "created_at": "2025-03-07T17:07:48.578Z"
      }
    ]
  },
  {
    "id": 30226,
    "name": "Elip AI",
    "slug": "elip-ai",
    "former_names": [
      "TejasAI",
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        "body": "> ### **Hey everyone 👋**\n\nI’m [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/), founder of **Tejas AI**.\n\n### **TL;DR**\n\nWhen banks grant loans, they make decisions based on their complex, proprietary credit rules. These rules are maintained by humans and, given their complexity, even the smallest changes can take up to six months to implement. This lag alone costs banks billions of dollars each year.\n\nAt Tejas AI, we enable banks to harness the power of AI to update their credit rules and other policy documents. Our platform allows banks to update credit rules faster, more frequently, and on a hyper-local level.\n\nhttps://www.youtube.com/watch?v=pMwLWzL_t0M\n\n## **The Team**\n\n* [**Gaurav**](https://www.linkedin.com/in/gauravluhariwala/) **(CEO):** Led Product & Business at Tartan, scaling revenue 8x in a year by building KYC and data solutions for Indian banks. Previously built and sold a D2C conversion product to 30+ brands—while still in college.\n\n---\n\n## **💥 The Problem**\n\nImagine you’re a risk manager leading a 200-person team at a bank, dealing with:\n\n✅ Millions of loan records scattered across fragmented systems\\\n✅ Constant regulatory changes that impact risk policies\\\n✅ Thousands of credit rules requiring manual interpretation\n\nYour team spends weeks—sometimes months—trying to answer:\n\n> Where are the pockets high risk of loan defaults?”\\\n> “Where all should the bank expand next?\n\nAfter all this effort, you get a handful of incomplete recommendations, leaving you guessing instead of making data-driven decisions.\n\n💸 Banks **lose billions** in missed opportunities, defaults, and penalties.\n\n---\n\n## **🚀 The Solution – Tejas AI**\n\nTejas AI is an AI-powered decision automation platform that gives banks full control over AI-driven risk decisioning—enabling faster decisions, smarter risk management, and scalable growth with confidence.\n\n### **🔹 How It Works**\n\n✅ **Data Ingestion & Policy Input**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/4452a7c7-f0f1-4aee-bbf3-16e64e598383)\n\n* Banks upload loan records, risk models, and existing policies.\n* Teams set business goals—whether they want stricter lending criteria or aggressive expansion.\n\n✅ **Real-Time Impact Analysis & Recommendations**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/b9330bb8-7c48-4ad6-b1cb-798c753e4e21)\n\n* AI identifies optimal lending strategies and highlights risk areas—all with full explainability.\n* Teams see the projected impact on key business metrics before making a decision on each of the provided strategy.\n\n✅ **AI-Powered Policy Exploration & Simulation**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/9de730e3-88aa-49d5-94c1-a5bd0d16df5b)\n\n* Teams run \"What-If\" simulations—testing how changes to risk models will impact loan approvals, risk, and profitability.\n* Users input policy queries in plain English, and AI processes them instantly.\n* The system analyzes borrower behavior, risk factors, and trends to generate optimized policies.\n\n✅ **Automated Policy Execution**\n\n![uploaded image](/media/?type=post&id=88236&key=user_uploads/992401/226c1b55-3622-43b5-b6a8-fc4815445f51)\n\n* Once a policy is finalized, Tejas AI converts it into executable code for their BREs (Business Rule Engines)\n* No manual coding, no integration delays—just instant deployment.\n\n✅ **Continuous Learning & Optimization**\n\n* AI learns from loan performance and market trends to improve recommendations.\n* Banks receive ongoing insights and alerts, keeping risk models adaptive and up-to-date.\n\n---\n\n## **Why This Matters**\n\n⚡ **Faster decisions** – from months to minutes\\\n⚡ **Eliminates manual work** – reducing reliance on large risk teams\\\n⚡ **Hyperlocal lending strategies** – AI-driven, explainable, and data-**backed**\\\n⚡ **Instant deployment** – seamless execution with existing banking systems\n\nWe’re bringing AI-powered decisioning to the banking ecosystem—and we’d love to hear your thoughts! 🚀\n\n### **The Ask – Who We Want to Connect With**\n\nWe’re looking to connect with Fintechs, NBFCs, Banks, and Financial Leaders who want to transform risk decisioning with AI.\n\nPlease introduce us to:\n\n* Risk Managers & Credit Teams\n* Financial Institutions\n\nIf this sounds like you—or if you know someone who’d benefit—let’s talk!\n\n---",
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        "body": "# **TL;DR**\n\nWhat if a law firm could double its capacity without hiring a single person? [Caseflood.ai](http://Caseflood.ai) has engineered highly effective AI agents to do phone intake, client follow-up, and keep clients updated throughout their case—giving attorneys dozens of hours back per week.\n\nImagine you’re an attorney, and every day, your calendar fills with paid consultations without you even answering the phone, retainers get signed without you manually chasing leads, and all 300 of your clients stay informed about their cases without you writing a single email. That’s Caseflood.\\\n\\\n<https://www.youtube.com/watch?v=hm5tVrT0nX4>\n\n# **👫 The Team**\n\n[**Ethan:**](https://www.linkedin.com/in/ethan-hilton/) Started a legal leads startup at 16, making 5-figure MRR, and learned law firm operations and SMB sales. Went to CMU and studied AI and Business, but couldn’t stop thinking about all the operational inefficiencies in law firms, and eventually dropped out to solve it.\\\n[**Ayushman:**](https://www.linkedin.com/in/ayushman28/) Has been building enterprise AI software for Fortune 100 companies for the past 5 years, was Chief Data Scientist at India’s first unicorn company, and led the fraud detection team for a 30M MAU delivery app. Holds an MS in AI from CMU.\\\n[**Tolen:**](https://www.linkedin.com/in/tolen-schreid/) Cut his teeth in UX when he co-founded a game with 9,000 DAU at age 15, built projects like an accurate astrophysics simulator, and was personally commended by the Indiana Governor at age 17 for his advances in engineering. Went to Purdue and studied computer engineering.\n\n# **❌ The Problem**\n\n**Small firms don’t know how to deal with clients**.\\\n_Or at least, that’s what Ethan saw through visiting \\~80 firms in his previous legal startup._ They couldn’t effectively:\n\n* intake new clients\n* do follow-ups to close clients\n* keep clients updated throughout their cases\n\n**Lawyers are stuck**—if they answer calls, they lose billable hours and time. If they don’t, they lose potential clients.\n\n**Currently**, receptionists, intake specialists, case managers, and personal assistants eliminate those issues, but cost $60k+ per year each and it’s very difficult to find and train good ones (we met one lawyer who went through 3 receptionists in 6 weeks)—and outsourcing is unreliable and still expensive.\n\n**Vicious cycle**: law firms want to spend more on advertising to get more clients, but getting more clients requires a larger support staff, and having a larger support staff means they can’t spend more on advertising. This causes stagnation.\n\n# ✅ **Our Solution: The AI Support Staff For Law Firms**\n\nWe created the all-in-one system that intakes, closes, updates, and manages clients with AI agents that are 5X better and 10X cheaper when benchmarked against humans. It’s like you’re running your law firm, but on easy mode.\n\n**Intake**: Luna, our multilingual AI intake specialist:\n\n* empathetically intakes clients\n* convinces callers to book consultations\n* answers questions\n* forwards callers to the appropriate attorney\n\nHer multimodal features let her take payments, retrieve client data, send information through texts during the call, and simultaneously communicate with other attorneys about what’s happening in her call. She is the most advanced law firm intake system ever created.\n\n**Client communication**: Jess, our client manager:\n\n* interacts with clients via SMS\n* does personalized lead follow-up to get leads to sign a retainer\n* keeps clients updated throughout their case\n* schedules and reschedules meetings\n\nShe does this by integrating into law firm CRMs and case management software. She increases conversion rates with lead follow-up, saves attorneys dozens of hours per week—allowing them to handle more cases—and heavily decreases their operational human costs.\n\n**5X better, 10X cheaper** than human staff—helping law firms reach peak performance.\n\n# **🙏 Our Ask**\n\nKnow a lawyer drowning in calls? Send them this.\\\n(or our website, [Caseflood.ai](http://Caseflood.ai))\n\nAre you a lawyer? We’re already helping law firms across the US streamline their operations—if you run a firm and want **more revenue, less busywork, and happier clients**, [let’s talk](https://cal.com/ethanhilton).\\\n(_use promo code **YCW25** and we’ll waive the $3,000 setup fee)_",
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        "title": "Weave: AI to quantify engineering work",
        "tagline": "Engineering metrics for the AI era",
        "body": "tl;dr: Weave uses AI to measure software engineering work in the AI era.\n\nIt shows how much work is being done, how much is done by AI and where you can utilize AI tools to improve your engineering process.\n\n### **The Problem**\n\nHistorically, it’s been impossible to measure engineering so leaders are left flying blind. Engineering teams rely on gut feel or shoddy metrics to try to get a handle on what’s going on and where to improve.\n\nThat's why we built Weave.\n\n### The Solution\n\nhttps://youtu.be/GkZv9-YZTKI\n\nWeave uses AI to measure engineering work. We run LLMs and our own models on every PR and review, analyzing both output and quality. We integrate with all AI coding tools (Claude, Cursor, etc.) and have PR level code attribution to determine what was written by AI, what wasn’t, and what should’ve been.\n\nWe summarize this data and insights in dashboards. Teams like Reducto, Superpower and Laurel use Weave to ship 16% more, just 2 months after using Weave.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/966b7f89-b6a1-4aa7-8fbc-4b6cd7bf4fb1)\n\n\n### AI Usage\n\nWe show you who your top AI performers are (so they can share best practices), how the team stacks up against its competitors and the real financial return of your AI investments.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/57dfeddd-0c9f-49c1-afea-0454bad3f0ab)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/56c25bbf-a333-4bea-9938-93e639687d12)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/c2672d3e-b073-45d1-95d8-41578f1a829d)\n\n### AI Insights\n\nWe keep you up to date with the best practices and tools used by the most forward-thinking AI teams.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/d438efd0-4a9b-41a2-a4ae-1d506e800595)\n\n### Measuring Code Output\n\nThis isn't a line of code calculator, this is an actual estimate of our key metric, a Weave Hour: \"How long would it take an experienced engineer to make this change?\"\n\nWe can also tell you how much time each engineer is spending on code review and how helpful their reviews are:\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/581a3928-2eb3-4e98-a0d4-e8ae64c6cd15)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/ede5f44c-ca77-4d4c-ab23-12d7c3c6df7f)\n\n### Individual\n\nSee output across individuals to identify top performers, see how new hires are ramping and if anyone is blocked.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/65664616-047f-4ce7-829c-b40839f34d09)\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/2077133/d1883e57-85cd-4616-a456-3370a1a0b664)\n\nAdam’s background is in operations and sales. He led organizations of 100+ people and created an internal tool to measure performance and help individuals identify their weak spots. This is common practice in revenue teams and he wants to bring it to engineering.\n\nAndrew was employee #1 at Causal. He saw firsthand how subjective engineering management is and how hard it is to scale a high-performing engineering team.\n\nWe met at Causal, where Adam was hired to run the sales and customer success function. We got to talking about the big difference between how our two departments worked, and the rest is history.\n\n**Early Use Cases**\n\n* Reducto, Superpower, and Posthog have used Weave to see increases in output correlated with AI usage (16% on average)\n* A manager noticed that code review quality has the highest correlation to output. He reset code review standards and team output went up by 15%\n* Smaller engineering teams (\\~5 engineers) are using the platform daily in stand-ups\n\n**Our Ask**\n\n* Are you running an engineering team of any size? You can connect your repo to Weave and get started in \\~30 seconds [**here**](https://workweave.dev/).\n* Do you know any engineering leaders at mid-market or enterprise companies who might find this valuable? We'd love an intro if you do.\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/weave-dev) and X!",
        "url": "https://www.ycombinator.com/launches/Mjm-weave-ai-to-quantify-engineering-work",
        "votes": 35,
        "created_at": "2025-02-04T17:25:21.748Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "SalesPatriot deploys supply chain superintelligence into distribution, original equipment manufacturing, and procurement. By embedding AI in the teams that run quote to cash workflows, we turn email chains, ERPs, websites, spreadsheets, and portals into a unified transactional layer, so critical parts reach the production line faster.\r\n\r\nThe West’s advantage depends on supply chains that work. We build and deploy the software that makes them work.",
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        "full_name": "Nelson Ray",
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        "full_name": "Ben Rhodes-Kropf",
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        "linkedin_url": "https://www.linkedin.com/in/maciej-szymczyk-74392b1b8",
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        "location": "Warsaw Office",
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        "title": "We've raised $5M and we're hiring",
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        "body": "### **TLDR**\n\n[**Cuckoo**](https://www.cuckoo.so) is a real-time AI translator for global sales, marketing, and support. Companies like Snowflake and PagerDuty use Cuckoo in Zoom and in-person meetings for even the most technical discussions. \n\nHere an example of us having a product, sales, and partner meeting with our W25 batchmates and one of our partners in Japan: [**https://youtu.be/7fq7wr_S8p0**](https://youtu.be/7fq7wr_S8p0)\n\n— \n\nHey everyone! We are [Yong Hee](https://www.linkedin.com/in/harryyongheelee/) and [Gunwoo](https://www.linkedin.com/in/gunwooterry/) and we are building Cuckoo to help global teams talk to their customers worldwide. [Give it a try](https://www.cuckoo.so) in your next global meeting 🌏\n\n### **Why?**\n\n**Language barriers are a big challenge even for global companies.** We experienced this firsthand in Korea, where we hosted community meetups, inviting product leaders around the world.\n\nOn the one hand, many nuances and details can get lost between languages, especially during technical conversations. On the other hand, speakers often felt isolated, unable to follow Korean discussions, and missed valuable opportunities to network and promote their products.\n\n### **Problem**\n\nTake Matt, a Solutions Engineer at PagerDuty APJ, who engages weekly with customers in Korea and Japan. These conversations are complicated not just by language barriers but also by technical details—think complex troubleshooting scenarios.\n\n### **Solution**\n\n**Cuckoo provides real-time translation tailored for you and your customers.** It instantly learns technical details from your documents—pitch decks, meeting notes, API docs—and delivers context-aware translation in 20+ languages.\n\n### **How it works**\n\nInvite Cuckoo to your online meeting. For in-person conversations, you can capture audio directly from your laptop.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/829469eb-8895-44f0-b686-b2c45bb2f716)\n\nUpload relevant documents (pitch decks, API docs, user manuals, etc.) to help Cuckoo understand the general context and key terms.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/64f98ba9-db35-43ca-b791-45ca41cd442f)\n\nAs the conversation unfolds, your and your customer can view live translations in your preferred languages.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/cd8cd259-5e60-4bb2-bfd1-808ea19577bc)\n\n### **How our customers use Cuckoo**\n\nWe—_our first customer_—use Cuckoo everyday to demo and collect user feedback. Here’s how other teams use Cuckoo. \n\n* Snowflake — Hosting global customers at their Customer Experience Centers\n\n\n* PagerDuty — Troubleshooting with local cloud partners in Korea and Japan\n* ClickHouse — Team sync between the APAC and HQ office\n* dbt Labs — Webinars for APAC customers and partners\n* Weights & Biases — Hosting Seoul and Tokyo meetups with HQ executives\n\nCuckoo is also used by enterprises beyond the tech industry, including healthcare (SNOMED), manufacturing (SeAH Steel), and retail (GS).\n\n### **Asks**\n\nAre you dealing with cross-regional operations? Do you work with international customers regularly, or are you planning to expand into new markets?\n\n* **Try out Cuckoo** at [www.cuckoo.so](http://www.cuckoo.so) — your first conversation is on us!\n* **Let’s chat!** — We can hop on a quick call—we’ll speak in Korean and Japanese so you can see how Cuckoo works with different languages.\n* [**Schedule a meeting**](https://cal.com/cuckoohq/30min) — We’d love to learn more about your language challenges and how we can help. \n* **Email us** at [founders@cuckoo.so](https://mailto:founders@cuckoo.so) — Tell us how your first meeting went, and send any feedback or thoughts!\n\n### **A bit about us**\n\n[Gunwoo](https://www.linkedin.com/in/gunwooterry/) and [Yong Hee](https://www.linkedin.com/in/harryyongheelee/) first met in 2015 through a student club at KAIST, where we organized an annual international conference for undergraduate students. Since then, we have been talking about starting a company together.\n\n![uploaded image](/media/?type=post&id=87400&key=user_uploads/427995/ec2ae8db-a08a-4a52-8686-72b1923350a0)\n\n",
        "url": "https://www.ycombinator.com/launches/Mjg-cuckoo-real-time-ai-translator-for-global-sales-marketing-and-support",
        "votes": 164,
        "created_at": "2025-02-04T05:20:05.193Z"
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        "full_name": "Rahul Gudise",
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        "founder_bio": "Immigrated twice in the last 20 years, now building the data-driven platform for immigration. Math @ Waterloo, ex-MLE @ Viavi.",
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        "full_name": "Rishabh Sambare",
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        "id": 88070,
        "title": "Gale - Fast and Data-Driven Business Immigration",
        "tagline": "Immigration platform for US employers",
        "body": "Gale is a tech platform that automates the entire H-1B application and compliance process for US employers, with independent licensed attorneys ensuring accuracy at all steps.\n\nhttps://youtu.be/tmMnGLIa3fs\n\n### **The Problem**\n\n![uploaded image](/media/?type=post&id=88070&key=user_uploads/1751117/82978c7b-fae9-48b4-8b08-a909d1852a7c)\n\n_An email from a founder in W25 to their immigration law firm (name redacted to protect the guilty)_\n\nWe’ve talked to enough employers to know dealing with immigration sucks. Here’s why:\n\n* Slow response times from lawyers (1-3 business days at least)\n* No help on complex compliance requirements after visa approval\n* Knowledge transfer and communication done via email or janky web forms\n* Confusing questionnaires or document checklists\n\n### **The Solution**\n\nWe help US employers spend as little time as possible worrying about H-1Bs and how to be compliant. Here’s how:\n\n* Fast online data intake process with AI-powered document intake that auto-fills your application\n* Easy to follow tooltips and comprehensive FAQ \n* Automated H-1B compliance for you and your team even after H-1B approval\n* An **experienced immigration lawyer** handles and reviews each individual case with the same level of scrutiny as a law firm\n* Fast turnaround time for legal questions\n* We use english, no legal jargon\n\n### **Moving forward**\n\nH-1Bs are just the beginning. We’ve already started working on expanding our offering to help both consumers and businesses with other types of visas such as O-1s, Fs, Ks and TNs. The US immigration service market isn’t built for the 21st century, and we believe by using a mix of AI and professionals in the loop we can change that.\n\n### **Our Ask**\n\n**Know someone who is hiring or has hired H-1B workers?** Whether it’s a startup, SMB, enterprise, university, or nonprofit, we’d love an introduction! You can email us at [**rahul@getgale.app**](mailto:rahul@getgale.app).\n\nWe’d also appreciate it if you could share this post, or our demo video and follow us on [**LinkedIn**](https://www.linkedin.com/company/galeapp) to stay updated on our journey!\n\n### **Team**\n\nRahul (CEO), Rishabh (CTO), and Haokun (CPO) have been building together since middle school and later studied at the University of Waterloo. After working at companies like NVIDIA and Tesla, they experienced the inefficiencies of the immigration process firsthand and decided to automate it.\n\n\\\nGale founders from left to right: Haokun, Rahul, Rishabh:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchLNzKn3_48N25g3_X4dRxX7YLxU7jiQvK2oPpTRAD8MSvQpwG-C8AYDXUl0bRAbXYUgDD1ZukDf8MyOi_E_Z8iST3bgX5WzFKloRnlM4U1ZAkXWiM_4gyQd96ak32EO1-X3k?key=i0Gf8e5jxOhwPvU53uxZ6q3Z)\n\n",
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        "created_at": "2025-02-26T18:47:13.872Z"
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        "url": "https://www.ycombinator.com/companies/asteroid/jobs/tYlxU3M-forward-deployed-engineer-healthcare",
        "location": "San Francisco, CA, US",
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        "equity_range": "0.20% - 0.35%",
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        "id": 96061,
        "title": "Asteroid: AI Builder for complex Browser Agents",
        "tagline": "Build self-healing AI browser agents in minutes. Ops build, developers deploy, Asteroid self-improves.",
        "body": "### **TL;DR**\n\n**Asteroid** is the fastest way to build self-healing browser agents, no technical experience required. \\\n\\\nOur new **AI agent builder**, **Astro**, allows you to build **complex, multistep browser agents** by building an agent graph, writing prompts, adding tools, human in the loop and guardrails.\n\nThis makes Asteroid agents suitable for **mission-critical workflows**, and more than **25 businesses** already use them in healthcare, insurance, and beyond.\\\n\\\n**Astro** **is fully available, build your agent [here](https://platform.asteroid.ai/)!**\n\nhttps://youtu.be/ugY_qLTfmG8\n\n### **What is the problem?**\n\nStartups need to integrate with external portals (carriers, suppliers, healthcare) but can’t wait months for APIs.\n\nMany great browser-agent frameworks have emerged in the past year, but **non-technical teams still can’t build production-grade agents.**\n\nOperations leaders, PMs, and founders are the ones who **understand the workflows and edge cases** and _should_ be the builders. Relying on developers to constantly fix prompts for every new edge case isn’t sustainable.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/d73eee4d-bcc6-461f-953e-6fdd56374905)\n\n### **Solution: Astro - AI Builder for Complex Browser Agents**\n\nToday we’re launching **Astro**, our AI builder that lets anyone create **complex, self-healing browser agents in under 2 minutes**. Tell Astro what you want, for example _“Build an agent to pull patient data from this EHR”_, and it generates the full agent.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/53714daf-535a-450a-8a76-82eb70d43007)\n\n**Astro improves the agent using previous runs.** Behind the scenes, it writes code when needed, including Playwright scripts for deterministic steps, giving everyone code-level reliability.\n\n![uploaded image](/media/?type=post&id=96061&key=user_uploads/1651915/62627740-6f1e-47ce-a197-917e01ceade7)\n\nEvery part of the agent, including graphs, prompts, and model settings, is fully visible so you can make precise, surgical edits whenever needed.\n\n### **How does it work**\n\n1. **Build:** Non-technical teams create agents directly in the platform. Astro generates the prompts, agent graphs, and tools needed to handle even the most complex browser workflows.\n2. **Deploy:** Developers drop in a single code snippet to call the agent through Asteroid’s API/SDKs.\n3. **Supervise:** Monitor live sessions, review recordings, track performance, and trigger human-in-the-loop via Slack when needed.\n4. **Improve:** Non-technical teams update prompts and ship new agent versions instantly as workflows change.\n\n### **Ship your first agent today**\n\n**Astro** **is fully available, try it for free [here](https://platform.asteroid.ai/) or book a [demo](https://cal.com/asteroidai/15min) with a founder!**",
        "url": "https://www.ycombinator.com/launches/OzN-asteroid-ai-builder-for-complex-browser-agents",
        "votes": 228,
        "created_at": "2025-12-09T22:31:58.000Z"
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        "id": 88012,
        "title": "Asteroid: Browser Agents with Human Oversight",
        "tagline": "Browser workflow automation for regulated industries",
        "body": "**Asteroid makes browser automation seamless for regulated industries.** Not only developers but also non-technical teams can **build and run our browser agents with Asteroid**, turning 45-minute manual tasks into 2-minute automated processes.\n\nOur browser agents can navigate legacy portals, fill out forms, and extract data—all without brittle scripts, high costs, or maintenance headaches.\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/50a0915f-b720-4fff-923b-0b84e6017098)\n\n### **The Problem**\n\nTraditional automation tools like RPA are too expensive for non-enterprise customers, **costing $10,000 per automation**. Meanwhile, scaleups especially in high-risk industries like insurance or healthcare lack the resources to maintain Selenium or Playwright scripts, as these frequently break due to UI changes and the automations need to be extremely reliable.\n\n### **The Solution**\n\nBrowser agents bridge this gap—offering the flexibility of scripting with the reliability of RPA. With 2025’s computer use models, **web automation is now 100x cheaper and more robust, unlocking thousands of new use cases.**\n\n### **How It Works**\n\n**Asteroid transforms any browser task into an agentic workflow.** Simply show Asteroid what to do—via a screen recording, SOP, or written instructions—and get an agentic workflow. You can then call it through our web UI or API.\n\nBehind the scenes, Asteroid spins up a secure, headless browser, handles authentication, executes workflows, and seamlessly integrates human review when needed—all without burdening your developers. We ensure the agent improves over time.\\\n🔗 [Watch Asteroid in action](https://www.youtube.com/watch?v=26uksP36xB4)\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/fa0c7345-c244-4270-8c56-c905072f93ea)\n\n### **Highlighted Features**\n\n🔹 **API-First Automation** – Trigger a browser agent in a web UI or with a single API call—no need for complex scripts or RPA setups.\\\n🔹 **Human-in-the-Loop** – Automate only where it’s safe, with built-in escalation for manual review when needed.\\\n🔹 **Intelligent Guardrails** – Set rules like “Never click this button” or “Ask before submitting” to prevent errors.\\\n🔹 **Continuous Learning** – Asteroid evaluates every execution, adapting to website changes and improving over time using evaluations and backtesting.\n\n### **How We Got Here**\n\nWe’re both AI engineers who had to solve the same problem independently. Joe built AI systems that stopped $100M+ in fraud annually. David developed fraud investigation agents for fintechs.\n\nAfter years of building mission-critical automation, we learned that automation only works with intelligent guardrails, human oversight, and continuous learning.\n\nWe first built Asteroid as a developer tool for safe AI deployment—offering guardrails, human-in-the-loop workflows, and continuous evaluations. But we quickly realized:\n\n\\*\\*Browser agents need these safeguards even more.\\*\\*\\\n✅ **Guardrails** – \"Don’t click on this.\"\\\n✅ **Human oversight** – \"Ping me before you submit.\"\\\n✅ **Continuous learning** – \"The website changed—adapt.\"\n\nInstead of just developer tools, we’ve shifted to building browser agents with safety and reliability baked in!\n\n![uploaded image](/media/?type=post&id=88012&key=user_uploads/1651915/e9051949-8032-4fc5-951d-1fb8361ba3e1)\n\n### **Real-World Use Cases**\n\nWe’re working with customers to automate high-value workflows like:\n\n🔹 **Insurance Portal Automation** – Retrieve broker quotes across insurer portals—without manual input.\\\n🔹 **Supply Chain Scheduling** – Log into carrier platforms, retrieve GPS data, and schedule deliveries—seamlessly.\\\n🔹 **Expense Management** – Pull PDF bills from utility portals for expense tracking—without APIs.\n\n### **Who is Asteroid for?**\n\n🔹**Businesses with Heavy Manual Browser Workflows** – Automate large-scale data entry, form submissions, and repetitive portal interactions.\\\n🔹**Regulated Businesses using Legacy Systems** – Streamline automation for industries like insurance, healthcare and supply chain.\\\n🔹**AI Agent Startups** – Enable AI agents to reliably interact with legacy portals and automate browser tasks.\n\n### **Get Started**\n\n**Have a repetitive workflow you'd love to automate?** Let’s explore how Asteroid can help!\\\n🔹 [Schedule a demo](https://calendly.com/founders-asteroid-hhaf/30min?month=2025-02) to discuss your use case!\\\n🔹[Try our default agents](https://platform.asteroid.ai/) and see browser automation in action!",
        "url": "https://www.ycombinator.com/launches/MtY-asteroid-browser-agents-with-human-oversight",
        "votes": 19,
        "created_at": "2025-02-25T16:20:12.618Z"
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    "one_liner": "AI agents for conversational commerce",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1737428048,
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        "full_name": "Kofi Ansong",
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        "founder_bio": "Ex Google, Promise (YC 2018). Yale University Computer Science 2021.",
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        "full_name": "Kristy Gao",
        "title": "Founder/CTO",
        "founder_bio": "Ex Google, PayPal, Watershed. University of Waterloo Computer Science 2022. ",
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        "id": 97924,
        "title": "CENOTE - Sales Agents For Digital Health Clinics",
        "tagline": "Our AI sales agents immediately and persistently call and text your leads",
        "body": "**TL;DR**\n\nTelehealth clinics spend hundreds of thousands on ads but convert only a fraction of the patients who visit their site.\n\nBuying GLP-1s, TRT, or other treatments is a high-stakes decision, yet most patients are left alone with a website.\n\nCenote provides AI sales agents that instantly reach out, answer questions, and guide patients through the purchase, helping clinics grow revenue and patients buy with confidence.\n\n**Problem**\n\nTelehealth customer acquisition is extremely expensive.\n\nClinics often pay hundreds, sometimes thousands, of dollars per lead, yet most visitors never convert.\n\nAfter spending heavily to acquire demand, clinics rely on two imperfect tools:\n\n* marketing automations with low engagement\n* human reps who can’t scale coverage or response time\n\nThe result is lost revenue for clinics and confusing shopping experiences for patients making complex medical decisions.\n\n**Insight**\n\nHigh-consideration healthcare purchases shouldn’t be self-serve websites, they should be guided experiences.\n\nPatients don’t abandon because they aren’t interested, they abandon because they have questions, uncertainty, or timing issues.\n\nIn the offline world, these purchases would involve a knowledgeable guide.\\\nOnline, that layer has been missing.\n\nWe believe a new default is emerging: instead of navigating complex decisions alone, every buyer will have an intelligent concierge helping them evaluate, decide, and act.\n\n**Solution**\n\nCenote gives every lead a personalized, persistent sales experience.\n\nOur agents:\n\n* reach out instantly via call and text\n* answer questions and qualify needs\n* follow up over days or weeks as patients decide\n* support use cases like abandoned carts, failed payments, and win-backs\n\nEvery lead gets the experience of a dedicated care guide.\n\n**The Impact**\n\nClinics using Cenote see:\n\n* significantly higher conversion on existing traffic - for one clinic our agent converted at 2x the rate of a human rep\n* better patient experiences\n\nInstead of losing demand, they capture it.\n\n**Why now**\n\nAI can now hold natural, helpful conversations at scale.\n\nFor the first time, it’s possible to give every patient a guided buying experience, something previously only available to the highest-touch businesses.\n\n**The ask**\n\nWe’re looking to speak with:\n\n• Telehealth operators spending heavily on acquisition\\\n• Patients who recently considered an online health purchase\n\nIf that’s you (or someone you know), we’d love to talk.\n\nWe’d love your help!",
        "url": "https://www.ycombinator.com/launches/PTQ-cenote-sales-agents-for-digital-health-clinics",
        "votes": 5,
        "created_at": "2026-02-18T23:03:10.988Z"
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      {
        "id": 87480,
        "title": "Cenote - Back office automation for specialist medical clinics",
        "tagline": "Cenote eliminates administrative bottlenecks that slow down revenue.",
        "body": "### **tl;dr**\n\nWe work with specialist clinics to identify their biggest administrative blockers and deploy custom **AI** to resolve them. Right now, we’re automating **referral intake**, reducing the time it takes for clinics to process new patients and accelerate revenue collection.\n\n<https://www.youtube.com/watch?v=u403AnLMSNE>\n\n### **Problem**\n\nSpecialist clinics struggle with **slow, manual referral processing**, leading to revenue delays, administrative overload, and patient drop offs. The biggest bottlenecks we've uncovered:\n\n* **Referral processing is manual and slow.** Clinics receive **thousands of referrals per month**, requiring extensive manual effort to extract and enter data.\n* **Medical necessity verification is tedious.** Clinics must determine if a referral meets insurance criteria, often requiring **days of back-and-forth with primary care providers** for missing information.\n* **Insurance approvals are a major roadblock.** Clinics waste **days negotiating with insurers** to confirm reimbursement eligibility before scheduling treatment.\n\nThese inefficiencies cause **40-60% of referrals to drop off and** costs the U.S. healthcare system **over $150 billion annually**. The administrative burden is also immense, with an average of **4.3 administrative staff per doctor** in the American healthcare system.\n\n### **Solution**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXduwoVo9LiyuYd4ldqDHoJxHu2uaKzKbOzQnI4MZ0vlWDvKTY-nE2iokzaFTCR7-7PeqhwdI9FIqtRbpP1FkZ3ivWq6TdtuyftWnKoMCyzw-smhtrM7tZacSCTnDkJ45wF92PRK7w?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nCenote eliminates the **referral-to-treatment bottleneck**, allowing clinics to focus on patient care while accelerating revenue collection.\n\n* **Automated data extraction:** We categorize and extract key referral details the moment they hit the clinic’s inbox.\n* **Seamless medical necessity verification:** If critical referral data is missing, our system **auto-requests** the necessary information via the preferred form of digital communication.\n* **AI-powered insurance authorization:** Our **AI callers** handle insurance approvals, freeing clinic staff to focus on higher-value tasks.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeGgHkFuty55KGO5k--WHuaGP852o6tN4i7BepjytmDTjp48gCAx7ZC2boYhxw4NV9-evAIo09IUWh61gICroHpapc2X2jAmN3plFp4tpHM7ib9RKHwuqyyvd4FXxx2qQe-r7D7Uw?key=9LANEIwzbMw6NQWGiMH6ii1e)\n\nValidate page allows staff to easily confirm extracted data\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=87480&key=user_uploads/2213671/4398c4d4-4712-4460-a3a3-46107d03750d)\n\n[Kofi](https://www.linkedin.com/in/kofi-ansong-89294016a/) was formerly a software engineer for [Promise](https://www.ycombinator.com/companies/promise) (YC W18), a gov-tech company. He is leveraging his experience building AI products for state governments to delight folks in the healthcare industry.\n\n[Ajani](https://www.linkedin.com/in/ajani-smith-washington/) spent 2.5 years before this as an early stage VC at Base10 -- investing $30M in seed and series A stage companies\n\n[Kristy](https://www.linkedin.com/in/gaoxk/) worked on carbon accounting engines at Watershed Climate and is experienced in working in highly regulated spaces. She developed a wide set of engineering expertise from her time at several tech companies, including Google, PayPal, Cockroach Labs.\n\n### **ASK**\n\nIf you know someone who owns or works at a specialist medical practice (e.g. sleep centers, specialty pharmacies, medical supply store), please introduce us. You can reach us at founders@joincenote.com.",
        "url": "https://www.ycombinator.com/launches/Mky-cenote-back-office-automation-for-specialist-medical-clinics",
        "votes": 32,
        "created_at": "2025-02-06T23:14:55.843Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.",
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        "full_name": "Aamish Ahmad Beg",
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        "founder_bio": "Co-founder and CEO of Lopus AI.\n\nCS @ Dartmouth. Full-stack/infra/ML dev building in public. Extensive experience with LLM-centered ML research. Previously worked on the DIGIHEALS project at DARPA. ",
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        "full_name": "Danylo Borodchuk",
        "title": "Founder",
        "founder_bio": "Building Lopus - Analytics for the rest of us. \n\nEx. 2+ years of award-winning R&D for startups @ DALI Lab, Dartmouth, deep experience in AR/VR development, product & system design. Led multiple ivy league technical teams at research labs, tech consulting groups, & quant teams. ",
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    "name": "G LNK",
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    "website": "https://glnkco.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "G LNK is an AI-powered platform simplifying how healthcare companies connect with the relevant medical professionals. Our proprietary matching and ranking models instantly identify the most qualified experts, accelerating drug development and commercialization. Designed with compliance at its core, G LNK ensures every connection meets strict regulatory and ethical standards—empowering companies to innovate faster with confidence.",
    "one_liner": "Simplifying Collaboration for Healthcare Organizations & Professionals",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1738929097,
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    "year_founded": 2024,
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        "user_id": 2366179,
        "full_name": "Rayan Ghandour",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ G LNK (W25)\n\nRayan graduated from UChicago with degrees in Chemistry and Economics and built his expertise in the healthcare sector at PwC's pharma and life sciences consulting practice. There, he specialized in healthcare collaboration and compliance solutions. Rayan was recognized as the top consulting analyst in the US for leading automation technologies in pharmaceutical compliance.",
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      {
        "user_id": 2360566,
        "full_name": "Raouf Abujaber",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ G LNK (W25)\n\nRaouf brings three years of advanced research experience from AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction systems with adaptive reinforcement learning algorithms. His multidisciplinary background includes degrees in Computer Science, Economics, and Astrophysics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raouf-abujaber-169330256/",
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    "launches": [
      {
        "id": 88235,
        "title": "G LNK - Simplifying collaboration between Pharma & Healthcare professionals",
        "tagline": "Meet G LNK, the AI one-stop shop for all medical interactions",
        "body": "Hey YC!\n\nWe’re [Raouf](https://bookface.ycombinator.com/user/2360566) and [Rayan](https://bookface.ycombinator.com/user/2366179) — co-founders of G LNK\n\n**TL;DR**\n\nG LNK is an AI-powered platform that connects Pharma companies with doctors & researchers. Rayan worked on this as a consultant, where Pharma companies spent billions annually just to determine how much to pay doctors while staying within regulatory guidelines. Using LLMs, we’re automating the end-to-end process—from identifying candidates to compensation and compliance.\\\n<https://youtu.be/16oP6roNnZk>\n\n**Problem**\n\nPharma companies spend over **$70 billion annually** on engaging doctors & researchers, yet a lot of that money is wasted on outdated and manual processes:\n\n* **Outsourcing is expensive and slow**: Companies spend millions on third parties (consulting, recruiting, and regulatory firms)  just to find the right experts and to know how much to pay them compliantly.\n* **Compliance risks are high**: Payment miscalculations can lead to regulatory violations and hefty fines\n* **Data is scattered**: Contracts, payments and compliance tracking are spread across disconnected systems, making transparency and oversight difficult\n\n<https://youtu.be/qDdFbMWO6eU>\n\n**Solution**\n\n**G LNK automates Pharma companies' entire healthcare professional (HCP) engagement process**—from identifying suitable doctors to engaging them. Here’s how it works:\n\n1. **Identify HCPs:**\n   * Identify a doctor from our database of over 3.2 million user profiles (growing 250% MoM).\n   * Alternatively, if you know who you want to engage, simply upload the doctor’s CV and we will take care of the rest.\n2. **Calculate Compensation:**\n   * Instantly determine their compensation rates.\n   * Adjust the rates dynamically based on factors such as service type and travel requirements.\n3. **Engage Directly:**\n   * Contact the selected doctors directly through our platform.\n4. **Ensure Compliance:**\n   * Maintain regulatory compliance and prevent compliance violations before they happen.\n   * Leverage real-time data from trusted sources like NIH, PubMed, CBS, CMS, and more.\n\nThis step-by-step solution replaces multiple vendors with a single AI-powered platform, ensuring efficient, compliant, and cost-effective HCP engagement.\n\n**Additional Features**\n\n* **Built-in CRM** to track all HCP engagements\n* **Comprehensive financial tracking**, including:\n  * All Transfer of Value payments made to HCPs (date, purpose, associated drug)\n  * Drug coverage breakdown\n  * Monthly payment summaries\n  * Payment analysis by Therapeutic Area\n* **Tailored recommendations** for grants, conferences, and publications for HCPs\n* **Centralized database** of regulations and Codes of Conduct across 150+ countries\n\n**Team**\n\nRayan and Raouf have known each other for over a decade, with their professional relationship cementing itself during their time as researchers at the University of Chicago.\n\n**Rayan (CEO)** worked as a Life-Sciences Consultant at PwC and was recognized as top consulting analyst in the US for pioneering automation in pharmaceutical compliance. He holds degrees in Chemistry & Economics at UChicago, where he was one of the youngest biochemistry researchers at Pritzker School of Engineering.\n\n**Raouf (CTO)** worked as a ML-researcher at AxLab, where he specialized in developing neural network architectures for multimodal human-computer interaction with adaptive reinforcement learning. He has a multidisciplinary background, with degrees in Computer Science, Astrophysics, & Economics from UChicago\n\n![uploaded image](/media/?type=post&id=88235&key=user_uploads/2366179/8a3b2573-1a0d-499b-b252-94260eb9ca1d)\n\n**We are on a mission to help Pharma companies cut costs, enhance accuracy with better benchmarking, and save valuable time. By streamlining these critical processes, we empower Pharma to focus more resources on manufacturing, distribution, and supply—accelerating the delivery of life-changing treatments to those who need them most.**\n\n**Our Asks**\n\nWe would really appreciate introductions to anyone working in the Pharma industry or any health-related verticals. Additionally, if you know any physician/research communities, we would love to talk and learn more!",
        "url": "https://www.ycombinator.com/launches/Mx9-g-lnk-simplifying-collaboration-between-pharma-healthcare-professionals",
        "votes": 14,
        "created_at": "2025-03-03T23:58:34.131Z"
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    "website": "https://www.trytrata.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Trata is an AI-powered research desk for hedge funds. We use agents to interview hedge fund analysts, write investment research, and distribute this through a subscription.",
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    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1738274242,
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      "Community",
      "Investing",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/trata",
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    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trata-inc/",
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        "user_id": 1739520,
        "full_name": "Eric Cho",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder/CEO at Trata (W2025). Previously a technology investor at a L/S hedge fund. Cornell grad. ",
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        "title": "Business Operations Intern",
        "url": "https://www.ycombinator.com/companies/trata/jobs/72esYnV-business-operations-intern",
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        "title": "Everyone Wants Debt, Not Equity - Bloomberg",
        "url": "https://www.bloomberg.com/opinion/articles/2025-03-19/everyone-wants-debt-not-equity",
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        "title": "Trata – Anonymous buyside research desk for hedge funds",
        "tagline": "Trata uses AI agents to help hedge funds find their next 10-bagger",
        "body": "### **TL;DR**\n\nTrata gives hedge funds un-biased, unfiltered stock analysis from anonymous Analysts at well-known funds. Our AI agents interview Analysts at multi-billion dollar funds, capture their thinking about the stocks they know and publish it anonymously.\n\n### **Problem:**\n\n1. It takes buyside Analysts at least 3 hours to figure out a company’s key narratives/points of debate - what outcomes are going to drive the share price up OR down? Examples: an ongoing lawsuit, a competitor going bankrupt, an Activist campaign, a new CEO, etc. This involves reading earnings call transcripts, initiation reports, talking to Investor Relations, reaching out to other Analysts, and piecing everything together yourself.\n2. Because of the time it takes to do step 1, would-be winners/inflection points fall through the cracks all the time.\n3. Current solutions (idea dinners, forums like Value Investors Club, Twitter DMs, independent research boutiques and even paid Substacks) are fragmented and biased.\n4. The highest quality leads come from talking directly to fellow Analysts, but there’s never been a way to do this at scale, authentically. Until now.\n\n### **Solution:**\n\nWe use LLMs to interview dozens of people a day, get their quick and honest takes on signals/points of debate they’re actually paying attention to, and turn that into a one-of-a-kind research product. Each conversation is with an anonymous hedge fund Analyst who is deeply familiar with the company – think an expert network where the hedge funds are the experts. Contributors share their knowledge to gain access to an exponentially bigger pool of expertise.\n\nWe don’t provide investment advice; we just get you up to speed – fast. We work directly with the compliance teams of multi-billion dollar hedge funds and have a team of human lawyers to ensure SEC compliance.\n\nWe are building the product I wish I had as an Analyst. Our first user interviews liked the idea so much (without any code built) that they are now our angels.\n\n<https://www.youtube.com/watch?v=gE_Ovy1BiTM>\n\n### **Here’s how to think about our value proposition:**\n\nIf a fund manages $300 million, one successful idea (3% position, +50% return) generates $4.5 million in profit and $900K in fees ($720/180K split between the Portfolio Manager and Analyst). This is a 750X, 120X, and 30X ROI on a $6K subscription for the Fund, Portfolio Manager and Analyst.\n\nAll it takes is one decent idea for Trata to be a home run.\n\n### **Our Ask:**\n\nIf you are a hedge fund Analyst or know any hedge fund Analysts / public investors, please reach out! They don't have to be at a big fund like Citadel for us to be interested. We pay very well. They will most likely thank you for the intro. We guarantee anonymity. Contact us at [founders@trytrata.com](mailto:founders@trytrata.com).\n\n### **Our Team’s Story:**\n\nEric and Will met at Cornell as undergrads. Eric and Alex met in high school English and grew up in the same hometown.\n\n[Eric](https://www.linkedin.com/in/emc329/): 4.5 years as a Senior Analyst at a Long/Short Hedge Fund covering tech companies globally. Applied Economics (summa cum laude) at Cornell. Posts on Value Investors Club for fun, Sohn Idea Contest Finalist in 2021, has traveled to 20+ countries in the past few years.\n\n[Will](https://www.linkedin.com/in/william-m-gao/): UChicago PhD Student (ML/AI). Research Scientist Intern at Meta’s Reality Labs, Nvidia’s Deep Imagination Lab, and Adobe Research. Full-time ML Engineer at Meta. CS/Stats/Math triple major in three years and a Master’s in CS his fourth year at Cornell. Globally ranked in certain online video games.\n\n[Alex](https://www.linkedin.com/in/alexanderqchen/): Senior Software Engineer at Titan (YC S18, Series C backed by a16z), Engineer 7 at Medallion (Series C backed by Sequoia), Software Engineer at Oscar Health a year before its IPO. CS degree from UCLA. Took a gap year to pursue bootstrapped entrepreneurship in Taiwan. By far the best chef in the apartment.\n\n![uploaded image](/media/?type=post&id=87903&key=user_uploads/1739520/7ff92c6e-665c-4393-991d-865dda1479be)\n\n",
        "url": "https://www.ycombinator.com/launches/Mrn-trata-anonymous-buyside-research-desk-for-hedge-funds",
        "votes": 58,
        "created_at": "2025-02-21T18:41:41.234Z"
      }
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    "id": 30279,
    "name": "Bystreet",
    "slug": "bystreet",
    "former_names": [
      "Doublecall",
      "Vovana",
      "Bystreet",
      "Snowbase",
      "Highintent",
      "Gowatch"
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    "website": "http://www.bystreet.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Identify and connect with the owners and key decision-makers behind 300,000+ hotels globally. Our customers include the world's leading hospitality firms: Marriott International, Choice Hotels, Wyndham Hotels & Resorts, Hotel Equities, and more. ",
    "one_liner": "Connect with hotel owners around the world.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1740115759,
    "tags": [
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      "B2B",
      "Proptech"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/bystreet",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/bystreet.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/gowatchai/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 945679,
        "full_name": "Charlie Maki",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Bystreet. Harvard CS '23. Prev: Launched and scaled startup from $0 to $1M ARR and 10,000 paid users as founding engineer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlie-maki-40543617a/",
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      {
        "user_id": 1571157,
        "full_name": "Corey Anderson",
        "title": "Founder",
        "founder_bio": "CEO & Co-founder of Bystreet. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/corey-anderson-3875a11aa/",
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      {
        "user_id": 1541133,
        "full_name": "Cameron Hake",
        "title": "Founder",
        "founder_bio": "Founder of Bystreet. Studied CS and data science at UW-Madison. Previously worked on sonar systems for the Navy.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cameron-hake-651062194/",
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    "launches": [
      {
        "id": 98045,
        "title": "Hotel Ownership & Contact Database",
        "tagline": "Your key to the hotel market. ",
        "body": "**TL;DR** Bystreet provides comprehensive intelligence on 16,000+ hotels across the Caribbean and Latin America — including ownership details, market insights, and key decision-maker contact information.\n\n![uploaded image](/media/?type=post&id=98045&key=user_uploads/1571157/bc0cda2c-623a-4b9e-9291-abb5b461a006)\n\nToday, we're launching Bystreet. The Caribbean and Latin American hospitality market is booming, and while many firms are eyeing the region for growth, most are still operating on thin intel, dated relationships, and boots on the ground. The problem is that hotel data is highly fragmented, and property ownership is often opaque.\n\nBystreet solves this with AI agents that extract and verify data from thousands of public, government, and offline sources to build the first structured identity graph of hotel properties, owners, and decision-makers across CALA. This removes the manual effort associated with finding qualified leads as a supplier, hotel brand/operator, or capital allocator looking to grow a presence across the region. Whoever owns the data owns the market.\n\nThe founders studied computer science and economics at Harvard and UW–Madison, did stints at hedge funds, sales at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nFeel free to reach out with any questions/comments or book a demo here:[ https://cal.com/coreyanderson/30min](https://cal.com/coreyanderson/30min)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n<https://www.bystreet.com>\n\nContact details: [founders@bystreet.com](mailto:founders@bystreet.com) or (650)387-4622",
        "url": "https://www.ycombinator.com/launches/PVN-hotel-ownership-contact-database",
        "votes": 13,
        "created_at": "2026-02-21T21:21:42.115Z"
      },
      {
        "id": 96152,
        "title": "Gowatch: AI Monitoring Platform for Businesses",
        "tagline": " Track competitors, customers, investments, and more.",
        "body": "**TL;DR** Monitor your market with AI agents. Keep track of buying signals, competitors, pricing pages, funding rounds, Luma events, the YC directory, and more with Gowatch. We’ll personally set up any monitors you want for free.\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/48345aa8-4bad-4798-a9e5-c0197dcb2b74)\n\n**Check out: [https://www.gowatch.ai/](https://www.gowatch.ai/)**\n\nToday we’re launching Gowatch. We use AI agents to search and monitor the web for anything important to your business and alert you the moment it happens. Modern businesses lack a complete picture of their market, and we provide them with complete clarity.\n\nFlow of the app:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/ef31d104-cff5-4335-969a-a2bed7eac891)\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cfa8a2bc-622c-4bb2-81bd-d60bc532b7ee)\n\nResults:\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/e0ff560b-6628-43be-abec-a870b73a91c3)\n\nWe studied economics and computer science at Harvard and UW–Madison, worked in private equity, GTM at Datasite and Box, and built surveillance systems for the U.S. Government.\n\nWe offer a very generous free trial, and we’d love for you to give it a shot.\n\nLet us know what you think or if you have any questions @ [**founders@gowatch.ai**](mailto:founders@gowatch.ai)\n\nThanks,\\\nCharlie, Cam, and Corey\n\n![uploaded image](/media/?type=post&id=96152&key=user_uploads/1571157/cd0ab5e4-ea9d-4e5e-bfc3-9d97de796527)\n\n",
        "url": "https://www.ycombinator.com/launches/P0q-gowatch-ai-monitoring-platform-for-businesses",
        "votes": 25,
        "created_at": "2025-12-11T21:24:09.518Z"
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    "id": 30282,
    "name": "Riviera",
    "slug": "riviera",
    "former_names": [
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    "website": "https://www.withriviera.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Riviera builds AI Employees for Hotels. Our first agent is a hotel phone receptionist that lets hotels spend less time answering phone calls and more time helping customers. Our system handles front-desk inquiries, in-room dining orders, and reservations. It answers every question instantly and in any language, 24/7.\r\n\r\nWe are solving a problem that older phone systems and IVRs can't: customers hate not being able to talk to someone immediately, but most travel businesses can’t dedicate additional staff to manage phone lines. Voice AI has always seemed out of reach because the technology infrastructure in the travel industry is often fragmented, with reservation systems, loyalty programs, and in-house operations software that weren’t designed with voice AI in mind. Riviera addresses this by integrating seamlessly with existing software providers and using human-sounding voice models that are highly trained on data specific to each business type and department.\r\n\r\nHotels spend hundreds of billions annually on staffing and risk losing potential revenue when phone lines are overwhelmed or callers hang up. By enabling them to handle unlimited calls, day or night, Riviera unlocks additional revenue and eases labor challenges.\r\n",
    "one_liner": "AI Employees for Hotels",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1737322900,
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      "Analytics",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2025",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/riviera",
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    "year_founded": 2024,
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    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 683820,
        "full_name": "Shaun Lane",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO at Riviera | UC Berkeley CS | Amazon Software Engineering Intern, previously ran a Travel Consulting/Content Creation Business",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shaun--lane/",
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        "user_id": 1069552,
        "full_name": "Daniel Tyshler",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO at Riviera | Stanford CS | SpaceX Software Engineering Intern, software and product intern at startups in aerospace and health-tech",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-tyshler-b742b217a/",
        "x_url": "https://x.com/danieltyshler",
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      {
        "id": 87705,
        "title": "Riviera: Multilingual AI Voice Agents For Hotels",
        "tagline": "Riviera lets hotels reduce staffing costs and improve the guest experience",
        "body": "**TL;DR**\\\nHotel guests hate not being able to talk to someone immediately, but hotels can’t afford more staff just to answer the phones. Riviera solves this with AI voice agents that provide 24/7 phone agents that speak any major language: answering guest questions, ordering room service, making reservations, and redirecting calls as needed.\n\n---\n\n### **The Problem**\n\nHotels spend over 100 billion dollars per year on staffing. Front-desk staff spend valuable time on phones instead of handling high-touch guest services. Meanwhile, guests frustrated by long waits or old IVR menus often hang up, leading to lost revenue and poor reviews.\n\n### **Our Solution**\n\nRiviera’s AI voice agents manage unlimited calls instantly. We integrate with property management systems, reservations, and ticketing software so guests can:\n\n* **Get quick answers** **about hotel services and policies**\n* **Order in-room dining and other amenities**\n* **Check availability and make reservations**\n\nRiviera has a human-sounding voice model trained on each hotel’s unique data to understand it better than any staff member ever could.\\\n<https://www.youtube.com/watch?v=2YOSlMHVKOM&ab_channel=Riviera>\\\n\\\n\\*\\*Want to see a live demo or talk pilots?\\*\\*\\\n\\\nYou can schedule a demo by visiting [**withriviera.com**](http://withriviera.com). Feel free to email me directly at [**shaun@withriviera.com**](mailto:shaun@withriviera.com).\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/c11e9839-f110-4546-902f-907840b8d6f4)\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/7e4c67a5-facf-41b1-9595-1605bcffdf14)\n\n",
        "url": "https://www.ycombinator.com/launches/Mob-riviera-multilingual-ai-voice-agents-for-hotels",
        "votes": 29,
        "created_at": "2025-02-14T23:57:29.263Z"
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    "id": 30286,
    "name": "Nitrode",
    "slug": "nitrode",
    "former_names": [
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      "Inception Technologies"
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    "website": "https://www.nitrode.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Nitrode is a research company focused on improving game development with AI. To advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the actual complexity of the field.\r\n",
    "one_liner": "Frontier AI research to advance game development",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1738144366,
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      "Data Engineering",
      "AI"
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    "batch": "Winter 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/nitrode",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 1654263,
        "full_name": "Ben Kim",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Nitrode. InfoSci @ Cornell. Previously @Supercell AI Lab, and @WSGR",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-yoonsung-kim/",
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      {
        "user_id": 1654842,
        "full_name": "Sejoon Chang",
        "title": "Founder/COO",
        "founder_bio": "Co-founder at Nitrode. CS & Product Design @ Stanford. Top 500 GeoGuessr globally in moving and builder of unnecessarily ambitious Minecraft cities.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sejoonchang",
        "x_url": "https://x.com/sejoonchang",
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      },
      {
        "user_id": 1654330,
        "full_name": "Brian La",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Nitrode. CS @ Cornell. Previously Data Scientist @ Nexon",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/brianyla",
        "x_url": "https://x.com/BrianLa0616",
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    "jobs": [
      {
        "id": 98321,
        "title": "Member of Technical Staff (Post-Training) ",
        "url": "https://www.ycombinator.com/companies/nitrode/jobs/flMnYGU-member-of-technical-staff-post-training",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$150K - $350K",
        "equity_range": "1.00% - 3.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "Distributed Systems",
          "Reinforcement learning (RL)",
          "Natural Language Processing",
          "CUDA",
          "Data Analytics"
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      },
      {
        "id": 98322,
        "title": "Member of Technical Staff (Evals)",
        "url": "https://www.ycombinator.com/companies/nitrode/jobs/BrIHVMH-member-of-technical-staff-evals",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Data science",
        "salary_range": "$120K - $250K",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "C++",
          "Java",
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
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      },
      {
        "id": 98323,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/nitrode/jobs/Hpc1xDj-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $160K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "C++",
          "Java",
          "JavaScript",
          "Python"
        ]
      },
      {
        "id": 110036,
        "title": "Game Developer ",
        "url": "https://www.ycombinator.com/companies/nitrode/jobs/KZbQlmq-game-developer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "id": 104921,
        "title": "Nitrode - Advancing AI for Game Development",
        "tagline": "Advancing game development through frontier AI research.",
        "body": "Hey YC,\n\nWe’re Ben, Brian, and Sejoon from **Nitrode.**\n\nNitrode is a research company focused on improving game development with AI. \n\n**The Problem - How do we advance game development with AI?**\n\nWe started by building an AI game engine. It got to [**#3 on Product Hunt**,](https://www.producthunt.com/products/nitrode-ai-game-engine) and we gained several useful insights:  despite recent progress in agentic coding, game development remains uniquely difficult for AI models because it requires **(1) strong spatial reasoning**, **(2) reliable tool use/tool-calling**, **(3) strong agentic coding capabilities** and the **(4) ability to operate in real-time environments for complex games**.\n\n**The Solution** \n\nTo advance game development, we believe AI models firstly need to be judged against robust evaluation frameworks that reflect the **actual complexity of the field.** Over the coming months, Nitrode will open-source a suite of benchmarks designed to measure where AI models truly stand in game development. Our first benchmark, [**GameEngineBench**,](https://arxiv.org/abs/2607.03525) evaluates agentic coding performance on C++ game engine tasks in real runtime environments.\n\n![uploaded image](/media/?type=post&id=104921&key=user_uploads/1654263/a084ce2c-86d5-431b-97a1-d2ccf07b3f04)\n\nOur results are clear: model class and reasoning effort are strong predictors of performance, while model rankings align more closely with spatial reasoning benchmarks than with traditional agentic coding benchmarks. **This suggests that game development is fundamentally different from pure coding.** Success requires not only writing correct code, but also understanding space, tools, runtime behavior, and the interaction between systems.\n\nWe also observe significant complementarity across frontier models, indicating that different models exhibit distinct strengths within the game development task space. Mythos/Fable-class models point toward a potential step change in AI game development capability, where improved spatial understanding and stronger tool use combine to produce emergent behaviors that older model generations struggle to match.\n\nOur benchmark has revealed clear model-specific performance gaps across game development tasks, with outcomes that diverge meaningfully from standard agentic coding benchmarks.\n\nWe are also building [Mint](http://mint.nitrode.com), a platform that onboards game development experts to work on custom datasets. Think engine programmers, technical artists, and developers with years of enterprise/indie game development experience. We already have hundreds of contributors across game development and creative software. Whenever you need a certain type of data, we construct and lead a team to produce:\n\n* Post-training /SFT data captured from real workflows: how developers actually build, debug, test, and iterate inside engines and creative tools.\n* RL environments and executable tasks where models learn through execution and feedback.\n* Custom benchmarks and post-training for gaming enterprises: we pinpoint where models fail on real game development tasks, then post-train a custom model to close those gaps.\n\n**Team** \n\nBen and Brian studied Information Science and Computer Science at Cornell, while Sejoon studied Computer Science and Product Design at Stanford. The trio has been building things together for the last six years, from a sports team analytics tool to Nitrode, and are, unsurprisingly, massive gaming nerds. Sejoon is top 400 in the world at moving GeoGuessr and a certified Civ sweat, Brian is ranked in Tetris, and Ben used to be ranked in Minecraft speedrunning.\n\n**Our Ask:**\n\n1. If you need custom datasets or evals, let us know! Email us [research@nitrode.com](mailto:research@nitrode.com)\n2. Are there any creative or gaming companies you could introduce us to?\n\n**Thank you!**",
        "url": "https://www.ycombinator.com/launches/RIH-nitrode-advancing-ai-for-game-development",
        "votes": 10,
        "created_at": "2026-07-07T15:17:58.603Z"
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    "long_description": "Calltree makes enterprise-grade AI support reps for call centers. Our AI reps take voice calls and chats like other AI support agents but can also use internal enterprise tools like a homegrown CRM or internal dashboards, like the highly trained humans working there today.",
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        "full_name": "Kun Qian",
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        "founder_bio": "Kun, co-founder and CEO of Calltree AI, previously a product leader at AWS where he focused on contact center solutions. During his tenure, he built and scaled multiple product lines that achieved tens of millions in ARR. Drawing from deep insights into contact center operations and analytics, Kun co-founded Calltree AI to empower contact centers with the data-driven insights they need to optimize operations and reduce costs.",
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        "full_name": "Robertson Taylor",
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        "founder_bio": "Worked on applied multimodal AI with large enterprises at Marqo. Worked on ML for high cardinality anomaly detection that was deployed into fortune 100 companies and banks while at AWS. Led platform teams at Hopper. Georgia Tech CS grad, worked on HPC research.",
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        "url": "https://www.ycombinator.com/companies/calltree/jobs/qNST1yz-ai-operations-analyst",
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      {
        "id": 87336,
        "title": "Calltree - AI Agent That Optimizes Enterprise Call Center Workflows",
        "tagline": "AI operations analyst for enterprise call center workflows",
        "body": "TLDR: Cutting just 1 second off each customer call can save enterprise call centers millions of dollars. Calltree helps enterprises' VP of Operations understand how to make their call center more efficient. Our AI agent analyzes millions of minutes of call center recordings to find inefficiencies in workflows and quantifies the cost of each action. For example, when a rep is handling a credit card dispute, Calltree can identify that reps spend 30 seconds per call on manual data gathering and data entry, propose a solution, and measure the opex savings. Calltree surfaces these insights in an analytics tool and generates reports, making it easy for operation leaders to build business cases to prioritize improvements, realizing millions in opex savings.\n\nAsk: If cutting every second matters to your call center, please email us [kun@calltree.ai](mailto:kun@calltree.ai) and [rob@calltree.ai](mailto:rob@calltree.ai) or [book a demo here.](https://calendly.com/kun-calltree/30min) \n\n[Checkout our launch video!](https://youtu.be/v-9hFgH_gCI)\n\n**The Problem**\n\nLarge enterprises track every second of a phone call because **reducing average call time** can save millions of dollars each year. However, enterprises don't have a scalable way to find these inefficiencies. Manual time studies (in person shadowing call center reps, etc.) are tedious, unscalable, and expensive. \n\n**What Are Screen Recordings?**\n\nMany contact centers don’t just record the audio of customer calls; they also capture **everything the rep does on their screen** for training, compliance, and quality assurance. **Less than 1% of these screen recordings** are ever reviewed by a manager or analyst and **miss 99% of calls**. This leads to blind spots and missed opportunities for massive cost savings.\n\n**Our Solution**\n\n* **AI agent that finds workflow inefficiencies** (e.g., toggling between multiple systems to complete a single task).\n* **Quantify the time and cost** of each action (e.g., “Switching between these five legacy apps costs 20 seconds per call → $5M/year”).\n* **Operation leaders use these insights** to build quick business cases to fix inefficiencies. After changes are implemented, Calltree measures the impact pre- and post-fix to **prove cost reductions**.\n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdf17k-TMCzITHR-cAuUjxmf1XRQMpsQRvVeVslxQKILE2Jv6xHq2NSXtJWSM1WyEDXZBON4FJ1U7A77AKzZt7VvkUe7HGq8ozwJT3lf8O4nUgM8CwHtfhZ60iIsEanYT077wTjFA?key=5B91WL3MPEXhLdY8htNQCHC6)\n\n* **Kun** led product at AWS’ contact center solution, working with hundreds of large enterprises such as Capital One, Intuit, and Adobe.\n* **Rob** specializes in multimodal search for video and audio, previously helped companies like Walmart and Etsy fine tune embedding models.\n* After seeing how **little** of these screen recordings ever got analyzed—despite their huge potential value—we decided to automate that process end-to-end.\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/calltree-ai), and [book a demo](https://calendly.com/kun-calltree/30min) with our team.\n* Share this post! -  Do you know anyone in your network who is a VP of Operations, VP of call center operations, VP of Contact Center? Please share this post (or our demo video below!)\n* Learn more at [calltree.ai](https://calltree.ai)",
        "url": "https://www.ycombinator.com/launches/Mie-calltree-ai-agent-that-optimizes-enterprise-call-center-workflows",
        "votes": 23,
        "created_at": "2025-01-31T19:55:57.857Z"
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    "name": "Outlit",
    "slug": "outlit",
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    "website": "https://outlit.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Outlit helps companies grow revenue across their long tail. \r\n\r\nOutlit catches churn risks early and uncovers expansion opportunities in every account, turning missed customer signals into retained and expanded revenue.",
    "one_liner": "Protect and Grow Long-tail Revenue ",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1736658447,
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    "nonprofit": false,
    "batch": "Winter 2025",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/outlit.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/outlitai/",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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        "full_name": "Josh Earle",
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        "full_name": "Leo Paz",
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        "is_active": true,
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        "full_name": "Sukhjit Singh",
        "title": "Founder/CEO",
        "founder_bio": "Building Sennu AI | prev @ Brex",
        "is_active": true,
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        "full_name": "Sriman Gaddam",
        "title": "Founder/CTO",
        "founder_bio": "Building Sennu AI | prev @ Confluent",
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        "title": "Sennu AI: AI Code Review for Salesforce Development",
        "tagline": "Sennu AI reviews every pull request with full context of your Salesforce codebase like a senior Salesforce architect would",
        "body": "# **Problem**\n\nSalesforce code reviews often take days to merge and often contain Salesforce specific bugs that are hard to catch.\n\n---\n\n# **Solution**\n\nSennu AI is an AI code reviewer built for Salesforce. It automatically reviews every pull request using Salesforce best practices and full context of your custom Salesforce org just like how a senior Salesforce architect would. Sennu AI leaves actionable in-line PR feedback so Salesforce dev teams can merge code faster and ship fewer bugs.\n\nQuick demo: [**https://www.youtube.com/watch?v=t1PV8OizUms**](https://www.youtube.com/watch?v=t1PV8OizUms)\n\n---\n\n# **Who We Are**\n\nWe’re Sukhjit & Sriman, best friends who have been building together since high school. We are Salesforce certified devs who grew up around Salesforce consulting and have felt the pain in writing & reviewing Salesforce code firsthand.\n\n![uploaded image](/media/?type=post&id=96202&key=user_uploads/990840/22bca36a-830b-4911-998d-3d8aa33c44ac)\n\n---\n\n# **Our Ask**\n\nIf you have Salesforce devs working on your Salesforce instance, we would love to talk to you.\n\nBook a demo here if you are interested: [**https://calendly.com/d/cwq3-bw8-cr4**](https://calendly.com/d/cwq3-bw8-cr4) or reach out at [sriman@sennu.ai](mailto:sriman@sennu.ai)",
        "url": "https://www.ycombinator.com/launches/P1e-sennu-ai-ai-code-review-for-salesforce-development",
        "votes": 12,
        "created_at": "2025-12-15T00:12:53.645Z"
      },
      {
        "id": 91696,
        "title": "Sennu AI: Hands off Salesforce QA",
        "tagline": "AI QA Engineer that tests your Salesforce just like a human",
        "body": "### **Problem**\n\nTesting Salesforce is an absolute pain - countless hours are spent either testing functionality manually or writing tests in a no code framework.\n\n---\n\n### **Solution**\n\nSimply link your sprint board and our AI Salesforce QA Engineer generates test cases and executes them exactly like a human using browser automation. This entire experience is fully hands off - no setup needed except linking your Jira and Salesforce sandbox environment.\\\n\\\nBenefits of this approach\n\n* Get started in less than 5 minutes\n* All tests written in plain English\n* Can run 100s of tests at the same time\n\nQuick demo: [**https://youtu.be/PdPoNmbbsw0**](https://youtu.be/PdPoNmbbsw0)\n\n---\n\n### **Who We Are**\n\nWe’re Sukhjit & Sriman—best friends who have been building together since high school. Sriman grew up working at his parents‘ Salesforce consulting firm and saw the difficulties of Salesforce QA first hand. We’re both also Salesforce certified and have the scars from hand testing functionality at 3 am.\n\n![uploaded image](/media/?type=post&id=91696&key=user_uploads/990840/92ce3911-6f22-4474-9dfe-d354fbd19016)\n\n---\n\n### **Our Ask**\n\nIf you are a Salesforce partner that is spending hours a week on QA, we would love to talk to you.\\\nAdditionally, if you are a company with dedicated internal Salesforce admins or devs working on your Salesforce instance, we would to help your team.\\\nFeel free to book a meeting here: https://calendly.com/d/cwq3-bw8-cr4 or reach out at sriman@sennu.ai",
        "url": "https://www.ycombinator.com/launches/Nqy-sennu-ai-hands-off-salesforce-qa",
        "votes": 9,
        "created_at": "2025-06-28T14:20:42.933Z"
      },
      {
        "id": 87149,
        "title": "Sennu AI - AI Sales Agent for Tech Consulting Firms",
        "tagline": "We help tech consulting firms find leads on autopilot",
        "body": "**Hey everyone! We’re Sukhjit and Sriman, co-founders of Sennu AI (W25).**\n\n## The Problem\n\nTech consulting firms offer a suite of deeply technical services (SAP S/4HANA migrations, AWS Redshift implementation) with large contract sizes ($100,000-$1,000,000+). Sales representatives at these firms struggle due to a lack of technical knowledge leading to ineffective outbound, inaccurate estimates on pricing, and lost deals. AI has only made this problem worse as SDRs face an increasing number of new unfamiliar services to sell (Agentforce, Microsoft Copilot Studio) and rapid changes in recent years have rendered historical pricing unreliable for many technical services.\n\n## The Solution\n\n**Sennu AI** is our answer to this problem: we provide an **AI SDR** purpose-built for tech consulting companies. Instead of juggling multiple tools and outdated workflows, Sennu AI autonomously:\n\n* **Creates targeted outbound campaigns** based on your specific offerings\n* **Sources leads** from across the web, qualifying them through extensive research\n* **Crafts personalized emails** with a deep understanding of each prospect’s business needs\n* **Syncs seamlessly** with your existing CRM or workflow\n\nAll with just one click. By leveraging context on all your previous projects combined with comprehensive business & technical expertise, we’re ensuring that our AI agent sends the most compelling outbound possible to every lead at scale.\n\n<https://www.youtube.com/watch?v=Z0zTwhxxW3Y>\n\n## Backstory\n\nGrowing up in a tech consulting family, I (Sriman) experienced firsthand the challenges of running a project-based business, especially a technical one. The lack of recurring revenue meant that sales was an ongoing challenge to keep the lights on year after year. I saw in the previous technology shift how sales reps were left struggling from the radical shift from on-prem to cloud leading to unsuccessful outbound, mistakes in sales calls, and frustrated teams. We aim to prevent the same thing happening again during this shift to AI by solving sales and host of other problems that impact project based businesses.\n\n## Our Team\n\nSukhjit and Sriman have worked together for over a decade having been debate partners in high school, starting our own tutoring business out of our college dorm, to even interning together at Brex. With strong technical backgrounds—Sukhjit at Brex and Sriman at Confluent—they’re now channeling their expertise into solving a problem that directly affects their own parents, a mission they’re both deeply passionate about.\n\n![uploaded image](/media/?type=post&id=87149&key=user_uploads/1939169/60643d7e-51cc-4ed4-a495-afd71b8c2851)\n\n## Our Vision\n\nWe believe that in the next 10 years humans will no longer be the central processors of information but rather strategic overseers who provide high-level direction. A future service based business will operate as an ecosystem of AI workers that handle all end to end business operations. Sales is just the beginning - at Sennu AI we plan to lead the transformation of service based businesses into the AI age.\n\n## Asks\n\nIf you are a tech consulting firm interested in more leads\n\n* book a demo [here](https://calendly.com/d/cqrg-cr5-7ks)\n* reach out at [sukhjit@sennu.ai](mailto:sukhjit@sennu.ai)",
        "url": "https://www.ycombinator.com/launches/Mfd-sennu-ai-ai-sales-agent-for-tech-consulting-firms",
        "votes": 27,
        "created_at": "2025-01-25T03:29:31.426Z"
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    "id": 30295,
    "name": "Infinite",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Infinite is a stablecoin payment processor. We offer businesses turnkey APIs and SDKs to instantly move money anywhere in the world at a fraction of the cost of traditional solutions.",
    "one_liner": "Global B2B Stablecoin Processor",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Payments",
    "launched_at": 1739870082,
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        "full_name": "Nikhil Srinivasan",
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        "founder_bio": "Cofounder and CEO of Infinite with Raj Lad. Previously platform product lead at Sardine and Coinbase (S12) via acq. Distributed Systems (F1).",
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        "full_name": "Raj Lad",
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        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$108K - $230K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "Will sponsor",
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        "id": 88276,
        "title": "♾️ Infinite: Global Stablecoin Payment Processor",
        "tagline": "Fast, affordable global payments.",
        "body": "[Infinite](https://youtu.be/L0Zho4tT8w8)\n\n#### **TL;DR: Fast-track your stablecoin integration**\n\nInfinite makes it easy for developers to embed global stablecoin payment rails through a turnkey SDK. Our customers use us to move money cross-border on same-day with low fees, all without crypto complexity.\n\n#### **The problem**\n\nAfter talking to over hundreds of merchants and payment processors, we found that global payments are slow, expensive, and unreliable. Traditional financial rails such as SWIFT result in high fees and multi-day delays with little transparency on the state of their transfer. Yet companies, both big and small, struggle to adopt stablecoins due to complex compliance requirements and fragmented vendor integrations.\n\n#### **Our solution**\n\nWe're building what merchants worldwide need: fast, affordable global payment rails that can be integrated in days instead of months. Infinite can process same-day payments to over 170 countries, enabling businesses to leverage stablecoins as a settlement network (a la SWIFT) for cross-border payments. Our network of on and off-ramps provides connectivity to local fiat funding and payout flows, enabling faster global money movement and our turnkey SDKs and APIs allow businesses to embed stablecoins into their applications faster. Today, our platform supports:\n\n* **Customer Bank to User Bank** — US bank -> International bank (e.g., USA to LATAM), allowing businesses to send local currency payments with instant settlement to LATAM, Europe, Africa, and SEA\n* **Customer Bank to User Wallet** — US bank -> user wallet, allowing businesses to send USD stablecoin payouts globally and instantly\n* **Customer Bank to User SDK** — Embedded wallet and hosted links experience for payment beneficiaries to seamlessly receive and manage stablecoin payments without dealing with crypto complexity\n* **Treasury Management** — Store balances in USD-denominated stablecoins earn a competitive yield and issue cards against wallet balances\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/7323ca79-3e4d-4e27-8a2d-7417c40b06c4)\n\n#### **Our wedge**\n\nWe partner with early-stage to mid-market companies with global payments, contractor payouts, and treasury management workflows, including:\n\n* **Creator Economy** – Creator payouts for platforms looking to reduce payment costs, increase successful delivery rates to their global creator base, and offer USD-based payout options\n* **Global Payroll** – Global payroll platforms looking to increase coverage, streamline tax compliance, and move money faster.\n* **Logistics** – Import/export payments for businesses struggling with slow settlement times and high fees in cross-border trade\n* **Marketplaces** – Marketplace payouts for platforms needing to send frequent, low-cost payments to sellers and service providers worldwide\n* **Neobanks:** Traditional banks for SMBs or neobanks in emerging markets looking to hold stablecoin-backed treasuries and remit globally\n* **Gaming** – eSports and gaming audiences are increasingly global, and consumers demand instant off-ramping options in their local markets\n\n#### **About us**\n\nWe’re building this platform to solve pain points we experienced building financial products at scale at companies like [Sardine](https://sardine.ai) and [Coinbase,](https://coinbase.com) where we learned about customers’ needs firsthand.\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/da6a2143-8cec-4854-b28a-5b2123b88f15)\n\n**Ready for instant global payments that just work?** Book a demo [here](https://cal.com/infinite) or reach out to us at [founders@infinite.dev](mailto:founders@infinite.dev)!\n\n![uploaded image](/media/?type=post&id=88276&key=user_uploads/39977/f12c7d30-ed73-413a-8d57-a08bc1f459b1)\n\n",
        "url": "https://www.ycombinator.com/launches/Mxo-infinite-global-stablecoin-payment-processor",
        "votes": 48,
        "created_at": "2025-03-06T04:43:08.672Z"
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    "name": "OpenIntake",
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    "all_locations": "New York City, NY, USA",
    "long_description": "OpenIntake boosts law firm revenue by converting callers into clients 24/7.",
    "one_liner": "The AI Front Door For Law Firms",
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        "full_name": "Yash Sahota",
        "title": "Founder",
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        "founder_bio": "Co-founder of OpenIntake, the AI front door for law firms..\n\nBefore OpenIntake, I was a consultant at McKinsey & Company and a back-end tech lead at a hedge fund.\n\nUniversity of Texas at Austin class of '21 🤘",
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        "id": 87973,
        "title": "TripleZip - AI for Commercial Real Estate Accounting 📊",
        "tagline": "Commercial property accounting in minutes, not months.",
        "body": "**TLDR:** TripleZip automates complex accounting tasks for Commercial Real Estate firms, cutting admin costs and lowering legal risk.\n\n**Demo:** <https://www.youtube.com/watch?v=epLN4pXpcTU>\n\n**❌ The Problem: Expensive and error-prone accounting**\n\n* CRE firms pay $$$ for lawyers to manually extract data from their leases\n* Then they pay $$$ for accountants to reconcile tenant accounts\n* The whole process takes 3+ months & often has costly errors.\n\nWe learned about the problem from our parents, who own commercial real estate in San Antonio, TX. After trying existing CRE accounting software, we found that the entire process relied on error-prone manual entry and expensive consulting services.\n\n**✅ Our Solution: Replace manual entry with AI**\n\n* TripleZip extracts data from leases with AI (more accurately than humans)\n* TripleZip feeds that data into an accounting engine which reconciles accounts instantly\n* Done in <1 day, 10X cheaper than hiring a consultant or service firm\n\nWe’ve started by automating the most complex part of CRE accounting: Triple-net (NNN) reconciliation. This process accounts for up to 1/3 of the accounting effort for a large CRE firm and often results in expensive human errors and audits.\n\nBy reducing the overhead costs of accounting and avoiding costly audits related to NNN reconciliations, we aim to improve our customer’s margins by as much as 25% percent.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=87973&key=user_uploads/2371405/6fe9a40c-dc81-438e-8c4b-76a5bbebf00d)\n\nGrayson and Yash are close friends who have collaborated on software projects since they met in middle school. Since then, they have worked together as consultants at McKinsey & Company in New York.\n\nMost recently, Grayson was a back-end tech lead at a hedge fund and Yash was a security engineer at Slack while helping with his family’s commercial real estate business.\n\nYash earned a B.S. and an M.Eng. in Computer Science from Cornell in 2020.\n\nGrayson earned a B.S. in Computer Science from the University of Texas at Austin in 2021.\n\n**Our Ask**\n\n* **Do you know someone who works in Commercial Real Estate?** We’d love to meet them! Please reach out at [founders@triplezip.ai](mailto:founders@triplezip.ai) \n* **Do you manage commercial real estate?** We’d love to chat! Contact us at [founders@triplezip.ai](mailto:founders@triplezip.ai)",
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    "id": 30298,
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    "team_size": 18,
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    "country": "GB",
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        "full_name": "James He",
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        "full_name": "Patrick Sharpe",
        "title": "Founder/CPO",
        "founder_bio": "Leading Product at Artificial Societies. Background in applied behavioural science.\n\nPatrick completed an MSc in behavioural econ, and left academia to lead behavioural science and CX projects at iptiQ - an insurtech startup owned by Swiss Re, the largest Reinsurer in the world. He joined Unconventional Wisdom, a specialised behavioural science consultancy, and scaled the client-base 3x within a year, before co-founding Artificial Societies in 2024.",
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        "title": "Artificial Societies",
        "url": "https://www.forbes.com/profile/artificial-societies/",
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        "title": "Artificial Societies Raised a $5.35 Million Round With This Deck - Business Insider",
        "url": "https://www.businessinsider.com/artificial-societies-seed-funding-pitch-deck-y-combinator-2025-8",
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        "title": "Artificial Societies - Simulate High-Value Audiences",
        "tagline": "We help enterprises test high-stakes marketing & comms decisions.",
        "body": "Hello World, we’re [James](https://www.linkedin.com/in/james-k-he/) and [Patrick](https://www.linkedin.com/in/sharpe-patrick/) - founders of Artificial Societies 👋\n\n**We simulate 1000s of stakeholders and how they react to information.** We help Fortune 500 enterprises simulate how their most important audiences - policy influencers, investors, buyer committees, etc. - react to their most important marketing and comms decisions. Find out more at [**societies.io**](http://societies.io).\n\n# **Our Story**\n\nWe’re both behavioral scientists, but took different paths - James used machines to predict humans, while Patrick ran experiments in large organizations.\n\nIn 2023, James started tinkering with a crazy idea: what would a society of 33,000 AI bots look like? He wrote this into the first-ever large-scale [academic study](https://societies.io/pdfs/bjop-2025-ai-chatbots-collective-behaviour.pdf) on AI societies, and started turning it into a product.\n\nOne day in a London coffee shop in 2024, James used a simulation to recreate an experiment Patrick had spent two months on… in just ten minutes. That same week, Patrick quit his consulting job to co-found Artificial Societies with James.\n\nWe started by simulating a network of 1,000 VCs, and used it to raise a pre-seed and get into YC. Next, we built Reach, a tool that let anyone create an AI simulation of their own LinkedIn audience, to test posts before hitting publish. \n\nNow, we are focusing on enterprise customers and consulting partners who are demanding us to build a more exceptional technology:\n\n# **Introducing Radiant**\n\nWe help marketing and strategic comms teams build bespoke AI simulations of high-value audiences, for insights on questions no one else can answer.\n\nRadiant has already delivered over 18 million responses to global F100 enterprises, that helped shape over 100 million dollars’ worth of decisions ranging from [investor relations](https://societies.io/investor-communications-simulation), [high-value advertising](https://societies.io/advertising-testing-with-ai), [crisis communications](https://societies.io/crisis-communications-simulation), [reputation management](https://societies.io/reputation-management-simulation), and [corporate strategy positioning](https://societies.io/corporate-strategy-simulation).\n\n**Here’s [Radiant in action](https://www.linkedin.com/posts/james-k-he_anthropic-gambled-millions-on-their-superbowl-activity-7426611068254322688-fyEq?utm_source=share&utm_medium=member_desktop&rcm=ACoAACk3-R4BvvNrRdti8qSJ9yH6XurA_LAGBoc).**\n\nTo power Radiant, we’ve built over 2.5 million AI personas that are all grounded in real human behaviour – not just what people say, but also what they do, and who they are influenced by. \n\nBut our enterprise partners choose us not just because we have achieved 1) [95% distribution accuracy](https://societies.io/publications) against human self-replication, and 2) 90% persona internal coherence, both on [empirically and theory-grounded evaluations](https://societies.io/how-accurate-are-ai-personas).\n\nMore importantly, they choose us because of our ability to deliver impossible research projects - such as having insights backed by millions of responses within 24 hours, such as being able to test sensitive strategies on high-value audiences with 100% security, without human risk.\n\n# **What’s next?**\n\nOur vision of Artificial Societies is a **Societal World Model** that enables infinite experimentation, so that every organisation can have awareness of outcomes, before making a decision. \n\nNo planes fly without a wind-tunnel; no medicines are approved without clinical trials; and yet, the biggest decision societies face today are taken as bets. \n\nWe see Artificial Societies as a historically inevitable technology, and see it as our lives' mission to bring it to life.\n\n### **Our Ask 🙏**\n\n**We are rolling out Radiant at marketing & comms teams globally.** If you are someone / know someone who lead strategic comms consultancies or enterprise marketing firms, please reach out or introduce us at [founders@societies.io](mailto:founders@societies.io).\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/711fccb2-d4a1-4c35-9e7f-8ccb2cbafbe0)\n\n![uploaded image](/media/?type=post&id=88102&key=user_uploads/2143774/4e5884e4-64c7-4285-9658-a5c9f0b1b2e2)\n\n",
        "url": "https://www.ycombinator.com/launches/Mv0-artificial-societies-simulate-high-value-audiences",
        "votes": 97,
        "created_at": "2025-02-27T07:01:30.111Z"
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        "full_name": "Spencer Mateega",
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        "title": "AfterQuery Becomes YC’s Fastest Unicorn At $3.2 Billion",
        "url": "https://www.forbes.com/sites/annatong/2026/09/01/afterquery-becomes-ycs-fastest-unicorn-at-32-billion/",
        "date": "Sep 01, 2026"
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      {
        "title": "This 23 Year-Old’s New AI Data Company Has Already Hit A $100 Million Run Rate",
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      {
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        "title": "AfterQuery - High-quality AI starts with high-quality human data",
        "tagline": "Powering AI models with expert-level human data",
        "body": "## **TL;DR**\n\nAI models need high-quality training data to effectively automate complex professional tasks - we provide that data. If you are building an AI model or need fine-tuning data for your agent, we’d love to help. \n\n\\------------\n\n## **Why We’re Building AfterQuery**\n\nThere is a dearth of high-quality training data.\n\nCurrent AI models are trained to be smart but are not trained on the work of actual professionals in many fields. \n\nFor example, current models are largely unusable to professionals working in finance (private equity, hedge funds, investment banks, etc). See our [paper](https://arxiv.org/pdf/2501.18062), where LLMs fail 60% of realistic daily tasks – but with some fine-tuning on high-quality training data, significantly improve.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeJndLBLBOQJVpf7yPJNA2WFddpffkxqdE1rFqmEfxo3FRmcSCVWqHnsOR793XuN1iCUm-ibeWfFj-FV_3FaswWhXetsEhembFLjln5Lwc9LA0tJV6uNq7MPWyjdDq7FTZSRdmekQ?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n_Chart showing LLM performance against FinanceQA_\n\nAnd the lack of high-quality training data is everywhere:\n\n* Domain-specific AI (legal, consulting, healthcare, etc.)\n* Multimodal data (audio, multilingual, etc.)\n* Foundational models looking to push the boundary on reasoning and grading\n\n## **Solution**\n\nWe are building a platform to onboard experts to work on custom datasets. Think working professionals at top firms and the smartest students in various subjects (PhDs). Then, whenever you have a request for a certain type of data, we will construct and lead a team to produce:\n\n* Post-training / fine-tuning data\n* Human-Led Reinforcement Learning (RLHF) data\n* Custom benchmarks\n\nYou will know the people making your dataset and their qualifications while we coordinate with you to ensure quality standards. We save you time and energy, so you can focus on the model and not the data.\n\n## **Example Datasets We Provide**\n\n_Foundational Model Advancing Coding Capabilities:_\n\n* New data structures and algorithms problems with test cases and step-by-step answer reasoning \n* Computer architecture and system design reasoning\n* Performance optimization code with benchmarks and reasoning\n\n_Enterprise SaaS Company Building Internal AI Developer Tool:_\n\n* Codebase-wide code snippets with corresponding refactoring suggestions and explanations \n* System and runtime errors paired with step-by-step debugging solutions \n* Database query optimization solutions and reasoning steps\n\n_Startup Building an AI Agent for Law:_\n\n* Answered legal questions with expert reasoning\n* Computer use data for common tasks on legal project management software\n* Contract redlines with expert corrections\n\n**If AI is one day to replace jobs entirely, it can’t just be good, it needs to be near perfect. This transformation will require an immense amount of high-quality training data.**\n\n## **Our Ask**\n\n* Are you **working on a foundational model** advancing multimodal applications, nuanced reasoning, or domain-specific expertise?\n* Are you **implementing AI in a specialized domain** where current models lack expertise (e.g., medicine, legal, finance, software, government, healthcare)?\n\nWe would love to meet you! \n\n## **Our Team**\n\nCarlos and Spencer first met in high school at a summer program at Google and then interned together at Meta. Danny and Spencer met in high school, where they built a startup. They then both got into Wharton, sold that startup, and became roommates.\n\n[Carlos](https://www.linkedin.com/in/carlossgg/) has built multiple software businesses on his own, exited an ed-tech startup, and has worked as a software engineer at Citadel Securities. He’s won the largest possible academic scholarship in all of Canada, competed in state and national sailing competitions, and has 8x his bankroll in poker.\n\n[Spencer](https://www.linkedin.com/in/spencermateega) wrote an award-winning research paper and interned at a private equity firm in high school, before deciding to intern at Meta (SWE), Google (SWE), Morgan Stanley (IB), and Silver Lake (PE) in the next 3 years. He was the sole summer analyst at Silver Lake globally and has programmed numerous apps in his spare time (and sold some of them). He trains for half marathons and lifts in his free time between completing a master’s in computer science concurrently with his Wharton undergraduate degree.\n\n[Danny](https://www.linkedin.com/in/danny1898/) competed and won international competitions in public speaking during high school while pursuing his interest in AI, winning an international Microsoft AI competition and conducting research at a machine learning neuroscience lab. He then learned how people build real estate, from grocery stores to billion-dollar luxury hotels, eventually working on the largest real estate IPO in history and the largest IPO in 2024. He also really likes movies and attended the world's largest film festival, catching premieres of films like Anora and The Substance.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfkN7pvcMyTHjf5fZe7qJrF9xiyAvI0yAJ0PHNDdxWcOcU0gw5cDFUzOq20x68YJeb40Pk8dPXsNGsPVSnhYNZu3AHEAoZHcSTQ3nYyLYvMNcthHoAkoERsmzARwkGFS-fRnslLNw?key=_udDbu5NRw5fwLzMYyqM9i52)\n\n",
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        "created_at": "2025-02-10T21:58:10.460Z"
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      {
        "user_id": 932430,
        "full_name": "Dev Jain",
        "title": "Founder/CTO",
        "founder_bio": "CEO of Corsair. We're building the TypeScript integration framework. \n\nBefore launching Corsair, I was a software engineer at Curri (S19). I went to UT Austin and studied mechanical engineering & economics 🤘",
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      {
        "id": 112352,
        "title": "Corsair: Connect your users to their apps",
        "tagline": "10k GitHub stars, 200+ integrations: Open-source integration layer for agents and product UIs.",
        "body": "Corsair is a fully-featured product integration platform with a seamless DX. Build anything, from an agent working across all your integrations to a multi-tenant dashboard for your users to connect to anything.\n\n[Website](https://corsair.dev) | [Discord](https://discord.gg/uNgCP3mSzU) | [X](https://x.com/corsairdotdev) | [Cal](https://cal.com/dev-jain-ar3ec6/15min)\n\nMost agent integration tools are MCP-only. **Corsair is built on a REST API**, so the same layer works for agents, backend jobs, and the dashboards your customers actually use.\n\nClosed integration platforms keep your users' tokens on infrastructure you can't inspect or leave. **Corsair is open source**. Self-host it, or use Corsair Hub if you want us to handle OAuth and webhooks. Your data remains yours either way.\n\nThe more third-party APIs your product touches, the more glue code you write. **Corsair gives every integration the same syntax**, and we maintain the adapters behind it.\n\n**Here's how we use Corsair internally**: a GitHub clone wired up through the Corsair SDK. The UI was vibe-coded in an afternoon. All of it runs on the Corsair SDK.\n\n<https://youtu.be/fflIzDutxsc>\n\n**How we can help you**: If you're stuck writing integrations or your current provider holds your customers' data on servers you don't control, reach out. We'll help you set up Corsair, open a Slack channel for support, and build any integrations you're missing.\n\n[Get started at corsair.dev →](https://corsair.dev)\n\n![uploaded image](/media/?type=post&id=112352&key=user_uploads/932430/529a4c94-03c1-4f1a-aa35-eceb39742401)\n\n",
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        "votes": 1544,
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    "name": "Spott",
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    "all_locations": "Leuven, Flanders, Belgium",
    "long_description": "Spott is the first AI-native ATS/CRM for recruiting & staffing firms. We built Spott because existing recruitment platforms require extensive manual work, are clunky to use, rely on fragmented add-ons, and are not designed for AI adoption.\r\n\r\nSpott combines everything recruiting firms need, from a full ATS & CRM to AI agents across the entire workflow, into one AI-native solution. It enables recruiters to focus on what matters most and close more placements.",
    "one_liner": "AI-native ATS/CRM for recruiting firms",
    "team_size": 50,
    "industry": "B2B",
    "subindustry": "B2B -> Recruiting and Talent",
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    "tags": [
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    "regions": [
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    "stage": "Growth",
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    "country": "BE",
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        "full_name": "Lander Degreve",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Spott. Previously worked at Bain building an AI job match tool and built a GenAI consulting-case interviewer as a side project. Background in Financial Statistics with internship in IB at JPMorgan and Master's degree at Bocconi.",
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        "linkedin_url": "https://www.linkedin.com/in/lander-degr%C3%A8ve/",
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        "user_id": 2229948,
        "full_name": "Manu Vanderveeren",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO at Spott. Previously worked at McKinsey on Strategy, Tech DD and HR projects. Background in Finance with internships in IB & PE at Morgan Stanley and CVC. Master's degree in Financial Analysis at LBS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/manuvanderveeren/",
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      {
        "user_id": 943846,
        "full_name": "Samuel Smeys",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Spott. Previously worked at BCG, building Data & ML pipelines for Recruitment Agencies in the UK, USA, EU with a wide range of industry, experience & staffing type specializations. Background in Mathematical Statistics, Machine Learning & AI. Backend, DevOps & Infra enthusiast. Master's degree in Statistics at LSE.",
        "is_active": true,
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        "title": "BDR",
        "url": "https://www.ycombinator.com/companies/spott/jobs/HGqPlMG-bdr",
        "location": "New York, NY, US",
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        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/spott/jobs/m0vHaIl-customer-success-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
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    "launches": [
      {
        "id": 99581,
        "title": "Spott: The AI workspace for agency recruiters",
        "tagline": "Outp(l)ace everyone",
        "body": "**TL;DR** \\\nSpott is the AI-native ATS/CRM for recruiting & staffing agencies. We are the modern alternative to Bullhorn and Loxo. We offer an all-in-one, AI-native system that truly understands your data and helps you act on it. This enables you to make more placements, faster.\n\nHundreds of recruitment agencies worldwide, from executive search firms to temp agencies of all sizes, already made the switch.\n\n<https://youtu.be/GdaSZZq40fw>\n\n**📉** **Problem**\\\nRecruiting is a $1T+ industry, yet the most widely used recruitment platforms were built 20 years ago. They were never built for AI and have shown a clear lack of innovation, which has led to a growing reliance on add-on functionality. Most of today’s \"AI features\" are just layers on top of outdated systems that can’t properly understand, update, or act on data. This is despite the enormous potential AI has in recruitment.\\\n\\\n**📈 Solution**\\\nWe built Spott from scratch in the AI era. It captures all your data, understands the meaning behind it, and can act on it. That is how you can find the candidate who mentioned six months ago that they were open to relocating. This helps recruitment agencies make more placements, faster.\\\n\\\n**How it works**\\\\\n\n* **AI Matching.** Contextual, not keyword-based. Matches across CVs, notes, Socials, call transcripts, and interviews. Shows _why_ each candidate was matched.\n* **Deep Customizability.** Custom attributes, AI-prompted columns, drag-and-drop views, kanban boards.\n* **AI Note-Taker.** Transcribes calls, creates smart summaries, auto-updates candidate profiles. No manual data entry.\n* **Unified Inbox.** Email, Socials, WhatsApp, calendar, VOIP. Two-way sync. Every conversation auto-attached to the right record.\n* **Candidate Presentations.** Client-ready presentations in your own Word/PPT template plus CV reformatting and a client portal.\n* **Multi-channel sequences, Analytics, Automations, Data enrichment…** All included. No add-ons required.\n\n![uploaded image](/media/?type=post&id=99581&key=user_uploads/2229948/d5bf76a4-6589-4a1f-9d97-9dafe14a3329)\n\nBook a demo at [Spott.io](http://Spott.io)",
        "url": "https://www.ycombinator.com/launches/Pu9-spott-the-ai-workspace-for-agency-recruiters",
        "votes": 13,
        "created_at": "2026-04-08T21:02:09.556Z"
      },
      {
        "id": 87367,
        "title": "Spott: AI agents for recruiting firms",
        "tagline": "Supporting recruiters to focus on human interactions and increase placements",
        "body": "**TL;DR** \\\nSpott is building AI agents for recruiting firms to replace legacy recruiting platforms like Bullhorn. Today, headhunters use our first agent to generate detailed candidate presentation reports in their template within minutes, using data they already own.\n\n[Spott video](https://www.youtube.com/watch?v=7w3Ae-KDHEU)\n\n**📉Problem**\n\nHeadhunters create detailed reports for every candidate they propose to a company at the end of their search process. Manually writing these reports from scratch can take several hours, while most of the required inputs are readily available in their recruitment platform (think CV, cover letter, job description, interview notes). Similar tasks such as rewriting job descriptions and CVs are time and labor-intensive, adding up to \\~10% of the total workload. These tasks primarily involve converting raw information into standardized formats, which is time-consuming and slows down the hiring process.\n\n**📈Solution**\\\nSpott's candidate report writing agent streamlines this process by ingesting CVs, job descriptions, and interview notes to generate polished drafts in seconds. You can import recordings of in-person conversations and link transcripts from Zoom or Teams meetings to quickly create an 80% complete draft. Our context-rich editor, powered by AI, helps you efficiently finalize your report in minimal time. What sets Spott apart from ChatGPT and comparable solutions is the exceptional quality of its reports, the anonymized processing of sensitive client data, and the ability to export directly to your custom Word or PowerPoint templates. Our solution allows exec search recruiters to truly create reports in minutes rather than hours.\n\n**Founders**\\\nFounders [Manu](https://www.linkedin.com/in/manuvanderveeren/), [Samuel](https://www.linkedin.com/in/samuelsmeys/), and [Lander](https://www.linkedin.com/in/lander-degr%C3%A8ve/) bring recruiting expertise from McKinsey, BCG, and Bain. There, we saw clients struggle with legacy systems and realized AI-powered solutions could prove a transformative growth lever in executive search. Our goal: build the recruitment platform for the next generation of executive search firms.\n\n![uploaded image](/media/?type=post&id=87367&key=user_uploads/2229948/50385b80-397b-40ab-9ea7-d0da64422aff)\n\nContact us at [manu@spott.io](mailto:manu@spott.io)\\\nLearn more at [spott.io](http://spott.io)",
        "url": "https://www.ycombinator.com/launches/Mj9-spott-ai-agents-for-recruiting-firms",
        "votes": 27,
        "created_at": "2025-02-03T01:31:08.785Z"
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    "id": 30334,
    "name": "Bluebook",
    "slug": "bluebook",
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    "website": "https://getbluebook.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Bluebook is building AI agents for accounting firms to accelerate research, reconciliations and monthly closings. We allow professionals to serve 200 clients instead of just 20. With research time cut by 30% accountants can provide more strategic advice to help their clients thrive. The 30 leading firms in the Nordics already use Bluebook.\r\n\r\nThe accounting industry faces a perfect storm: a massive CPA retirement wave (75% in the coming 15 years), increasing complexity from globalization and new regulations, and private equity consolidation driving productivity demands. LLMs enables software that can understand context, adapt to new scenarios, and handle complex accounting tasks with human-like reasoning - capabilities that traditional rule-based software lacks.",
    "one_liner": "AI for accounting",
    "team_size": 4,
    "industry": "B2B",
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    "batch": "Winter 2025",
    "status": "Active",
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      "Europe",
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    "country": "SE",
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        "full_name": "Philip Andersson",
        "title": "Founder/CEO",
        "founder_bio": "Self-taught AI builder and seasoned founder. Developed my first webpage at age 8, founded my first company at 17, built a software consultancy generating millions in revenue, exited a product company, launched many failures. Last years spent as engineering leader at startups such as FirstVet, Mindler and Epidemic Sound.",
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      {
        "user_id": 2091916,
        "full_name": "Filip Stål",
        "title": "Founder/CTO",
        "founder_bio": "Happy guy that loves to build, exercise & cook food. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/filip-st%C3%A5l-464849229/",
        "x_url": "https://x.com/stal_filip",
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    "news": [
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        "title": "Y Combinator alumni Bluebook raises $3M to build AI agents for accounting firms - Tech.eu",
        "url": "https://tech.eu/2025/02/13/y-combinator-alumni-bluebook-raises-3m-to-build-ai-agents-for-accounting-firms/",
        "date": "Feb 13, 2025"
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      {
        "title": "“Self-driving accounting”: Bluebook secures €2.4 million for AI-powered accounting – BeBeez International",
        "url": "https://bebeez.eu/2025/02/13/self-driving-accounting-bluebook-secures-e2-4-million-for-ai-powered-accounting/",
        "date": "Feb 13, 2025"
      },
      {
        "title": "Bluebook Raises $3M to Build AI Agents for Accounting Firms with Pre-Seed Led by EQT Ventures  - CPA Practice Advisor",
        "url": "https://www.cpapracticeadvisor.com/2025/02/13/bluebook-raises-3m-to-build-ai-agents-for-accounting-firms-with-pre-seed-led-by-eqt-ventures/156006/",
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      {
        "title": "EQT Ventures Backs Bluebook: AI is Redefining Accounting | by EQT Ventures | eqtventures | Feb, 2025 | Medium",
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    "name": "Ergo",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Ergo is AI revenue infrastructure for B2B sales teams. It ingests every customer interaction (calls, email, Slack, calendar) and turns it into deal health scores, forecasts, ready-to-send follow-ups, rep coaching, and clean pipeline data, automatically. Reps skip the admin, deals stop slipping, and leaders get a pipeline they can actually trust.\r\n\r\nTeams can use Ergo to consolidate and replace tools like Gong, Attention, Superhuman, Vitally, call recorders, and more. Onboarding backfills your historical calls, emails, and deal data, so you don't start from scratch.\r\n\r\nErgo is backed by Y Combinator and FundersClub, and trusted by sales teams at Pylon, Rho, Retell AI, Warp, Oneleet, and Whop.\r\n\r\nBook a demo at joinergo.com.",
    "one_liner": "Ergo is the context layer that helps revenue teams close more deals.",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ergoai/",
    "x_url": "https://x.com/yashdulla",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1783321,
        "full_name": "Yash Dulla",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Ergo, Yash is a previous founder of Breezy Medical, AI for healthcare documentation and reimbursements. He studied engineering at Georgia Tech, where he also lead research in biomedical devices, and won Stanford's Hackathon in 2024. If Yash wasn't working on Ergo, you would likely find on the golf course every day.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yash-dulla/",
        "x_url": "https://x.com/yashdulla",
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      },
      {
        "user_id": 1607244,
        "full_name": "Ishan Sheth",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Ergo. Studied Computer Science and Economics at Georgia Tech. Previously founded Breezy Medical, which provided AI nurses for medical documentation and reimbursements. Also did software/ML for a handful of tech startups and a bank.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isheth/",
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        "id": 85469,
        "title": " Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/N4uRYHv-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$85K - $105K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 104837,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/M4V6K9g-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$260K - $310K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
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        "id": 104838,
        "title": " Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/ergo/jobs/9EzPf70-sales-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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      {
        "id": 87020,
        "title": "Ergo – Revenue infrastructure for high-growth sales teams",
        "tagline": "We connect every conversation your team has and build the unified data layer that moves deals forward.",
        "body": "**We're Yash and Ishan, co-founders of Ergo.**\n\n**Ergo is the revenue infrastructure for teams growing faster than their systems can keep up.** We connect the conversations your team is already having, across calls, email, Slack, and more, and build a unified data layer that moves deals forward.\n\nTeams like [Rho](https://rho.co), [RetellAI](https://retellai.com), [Whop](https://whop.com), [Agency Cybersecurity](https://getagency.com), [Corgi](https://corgi.insure), and [Greptile](https://greptile.com) are already running on Ergo.\n\n**📉 The Problem**\n\nRevenue teams are drowning in fragmented data. Your reps are on six different communication channels. None of it connects. None of it acts on itself.\n\n* Deals slip because no one followed up at the right moment\n* Leadership asks reps what's happening instead of just knowing\n* Marketing sequences run on empty fields because the right data never made it in\n* AEs walk into calls without context because handoffs live in someone's Slack DMs\n\nThe conversations are happening. The signal is there. It just never goes anywhere.\n\n**📈 The Solution**\n\nErgo plugs into every channel where your team talks to prospects and customers and builds a unified data layer across all of it. Every call, email, and message gets structured into a single source of truth your entire revenue org can act on.\n\n* **For revenue teams:** Structured deal data captured automatically across every call, email, and message, without touching your CRM\n* **For reps:** Follow-ups drafted and surfaced at the right moment, every time\n* **For managers and founders:** Real-time pipeline visibility without chasing anyone for updates\n* **For RevOps and marketing:** Clean, structured data that actually powers your sequences and reporting\n\n**⚙️ How It Works**\n\n1. **Connect your channels** — Zoom, Google Meet, Gmail, Outlook, Slack, dialers. Wherever your team talks to customers, Ergo listens.\n2. **Structure the signal** — Every conversation becomes structured, actionable data across your pipeline.\n3. **Execute on what's next** — Follow-ups drafted. Deals surfaced. Pipeline moving. No manual work required.\n\n**🎬 Our Story**\n\nWe started at Georgia Tech, and got our first real signal at a YC-backed startup in SF. We spent four days embedded with their sales team and watched 15-20 daily calls evaporate into missed follow-ups and stale records. We built a first version over a weekend that unlocked $75K in closed contracts. That problem turned out to be everywhere.\n\nToday Ergo supports revenue teams running their entire bottom-of-funnel motion, from first conversation to close to expansion, without the admin.\n\n**👉 [joinergo.com](http://joinergo.com)** Questions? [yash@joinergo.com](mailto:yash@joinergo.com) or [ishan@joinergo.com](mailto:ishan@joinergo.com)",
        "url": "https://www.ycombinator.com/launches/MdY-ergo-revenue-infrastructure-for-high-growth-sales-teams",
        "votes": 23,
        "created_at": "2025-01-21T19:55:12.638Z"
      }
    ]
  },
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monte is an applied research lab building products for continual learning and recursive self-improvement for AI agents.",
    "one_liner": "Continual Learning for Agents",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753994250,
    "tags": [
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      "Infrastructure",
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    "regions": [
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        "full_name": "Henry Bae",
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        "founder_bio": "Co-Founder @ Monte. He has an AB/SB/SM in Physics, CS, and Applied Math at Harvard.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/henrybae",
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        "full_name": "Alex Fleury",
        "title": "Founder/COO",
        "founder_bio": "Co-founder @ Monte | CS, statistics, AI research @ Harvard | 4 minute miler",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victoralexfleury/",
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        "full_name": "Jamin Liu",
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    "id": 30356,
    "name": "Artil",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Artil gives AI agents their own email addresses and phone numbers so they can communicate and use online services. Agents can send and receive emails and text messages, sign up for services, and complete email and SMS verification. We’re building the identity and communication infrastructure for teams developing agents and people putting them to work.",
    "one_liner": "Agent identity and communication infrastructure",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
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      "Email",
      "Infrastructure",
      "AI"
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      "Europe"
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        "user_id": 626328,
        "full_name": "Alex Tkachenko",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Artil. Previously founded Hashscan, blockchain analytics startup. Created Hodler, crypto portfolio tracker app (sold in 2022).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alextcn",
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      {
        "id": 100809,
        "title": "Fira MCP: Financial datasets in Claude and Excel",
        "tagline": "Connect SEC filings, UK Companies House, market data and earnings transcripts to your AI with source-cited answers",
        "body": "Reliable financial data access and trust in outputs are still the bottleneck in adopting AI in banking, consulting and investment firms. We built Fira MCP to solve that, starting from for teams adopting Claude. Our data connector lets your AI read and cite SEC and international filings, UK Companies House, market data, and earnings transcripts. It works with Claude, Claude for Excel, ChatGPT, and Copilot, while setup takes 3 minutes and it's free to try - <https://firaresearch.com/mcp>.\n\n<https://youtu.be/JoEY1imdVhw>\n\n### Problem\n\nMany banking, consulting, and investment firms are moving day-to-day AI work to Claude. But reliable data access and trust in the outputs are still the bottleneck.\n\n### Solution - Fira MCP\n\nFira MCP plugs directly into Claude, ChatGPT, Copilot, and Claude for Excel as a data connector. Your AI gets access to filings, transcripts, and market data, with numbers linked back to the exact paragraph or row in the source document. It handles scanned PDFs, nested tables, and works across tens of documents in a single research thread.\n\n## Available datasets\n\n* **SEC Filings** — 8,000+ active US companies (10-K, 10-Q, 8-K, and more)\n* **UK Companies House** — 5M+ private companies, including scanned accounts\n* **International filings** — 10,000+ companies across 50+ countries\n* **Earnings call transcripts** — full transcripts with analyst Q&A\n* **Market data** — 20+ years of daily stock and FX, US and global\n* **Custom datasets** — proprietary and third-party integrations for enterprise\n\n### Use cases\n\n**I. Peer comparison in Excel** — pull financials, strategy, and risk factors across competitors directly from filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/99b5fdce-2a4b-4053-a6c1-6b94ec87d578)\n\n**II. Corporate structure mapping** — trace ownership and financials through complex group structures from UK filings.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c1665625-8a07-414d-ac76-b7ecd356b12b)\n\n**III. Earnings call analysis** — review management commentary and analyst Q&A for sentiment and evasive answers.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/7fb98502-0b18-4486-b7f7-5b6655161588)\n\n**IV. Document verification** — cross-reference every number against source, catch rounding deltas and inconsistencies.\n\n![uploaded image](/media/?type=post&id=100809&key=user_uploads/626328/c11d5c2d-d1d3-4328-a4bb-63dd13aba8d6)\n\n### Asks\n\nLooking to connect with finance professionals (banking, PE, credit, hedge funds, wealth) who want their AI assistant to actually do useful work.",
        "url": "https://www.ycombinator.com/launches/QDx-fira-mcp-financial-datasets-in-claude-and-excel",
        "votes": 14,
        "created_at": "2026-05-05T19:11:01.299Z"
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      {
        "id": 88048,
        "title": "Fira: Agentic AI Analyst",
        "tagline": "Accelerating financial analysts with source-cited insights and verified calculations from complex company filings",
        "body": "**Fira** is building an agentic AI analyst for financial research and automation, starting with UK investment firms. Today, we accelerate analysts with source-cited insights and verified calculations from complex company filings.\n\n<https://youtu.be/a8C9TifdUOg>\n\n# Problem\n\nAnalysts at investment banks and boutique M&A firms waste tons of time digging through hundred-page annual reports to prepare pitch decks and models. General LLM tools aren't good enough for the job — lacking accuracy, domain-specific data, and output verification. The problem extends to senior professionals who need to quickly understand new topics deeply while staying grounded in truthful data sources.\n\n---\n\n# Solution\n\nFira saves analysts time by instantly searching, analyzing and citing UK company filings. It reads multiple filings and reports (including 500 page long and scanned documents) to provide source-cited answers and verifiable calculations. We cover hundreds of public UK companies, integrate with Companies House for private company data, and allow to upload your documents.\n\n---\n\n# Use cases\n\n**I. Breakdown detailed financial and operational KPIs in seconds**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d03ed2eb-89ea-49f2-af3e-895cf89dd3a7)\n\n**II. Perform general research on data scattered across reports and filings**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/af63b5d1-c1ba-4551-9168-91c8b3a8ca8f)\n\n**III. Fira calculates financial metrics it can't find, providing transparency in formula and variables used**\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/d65b3dba-a6ce-4653-86e9-9ddedcb5d0a4)\n\n# Asks\n\nLooking to connect with senior professionals and analysts at investment banks, M&A advisory firms, hedge funds, and wealth management firms. Especially in the UK. If you work in finance or know someone who does, we'd love an intro. Book a demo [here](https://firaresearch.com) or email us at [alex@firaresearch.com](mailto:alex@firaresearch.com).\n\n# About us\n\nAlexey and Alex are both technical founders, met 9 years ago at university and been close friends since.\n\nAlexey was CTO and co-founder of [resume.io](http://resume.io), one of the largest resume builder websites (acquired in 2021). He’s also an author of wouter, a React router library with 7k stars and 580k downloads/month, and a regular tech conference speaker.\n\nAlex was the founder and CEO of Hashscan, on-chain user analytics startup. Previously, he built a popular crypto porftolio tracker app Hodler (sold in 2022).\n\n![uploaded image](/media/?type=post&id=88048&key=user_uploads/626328/13c0b9c8-06c4-4307-b446-8edc81b35aab)\n\n# Links\n\nWebsite: <https://firaresearch.com>\n\nLinkedIn: <https://www.linkedin.com/company/fira-ai/>",
        "url": "https://www.ycombinator.com/launches/Mu8-fira-agentic-ai-analyst",
        "votes": 35,
        "created_at": "2025-02-26T01:51:02.509Z"
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    "name": "Frekil",
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    "website": "https://www.frekil.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Today, it takes months to understand how drugs perform in the real world, delaying safety insights and leaving patients exposed to unknown risks and benefits for far too long. Frekil turns that months-long process into minutes, with full auditability and scientific rigor.\r\n\r\nFrekil accelerates real world evidence (RWE) generation for life sciences companies on their own clinical data from months to minutes. It connects to fragmented clinical data (EHR, Claims, etc.) and lets teams run end-to-end studies from study design, cohort extraction to SAP, statistical analysis, and final reports.",
    "one_liner": "RWE Generation in minutes",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1744440110,
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      "Biotech",
      "Healthcare",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "user_id": 1701549,
        "full_name": "Nikhil Tiwari",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Frekil | IIT Bombay graduate | Prev SWE @ Stripe, Amazon, Marsh&McLennan | Semester Exchange at University of Geneva | Healthcare AI research @ IIT Bombay",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikhiltiwari-iitb/",
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      {
        "user_id": 2184765,
        "full_name": "Shivesh Gupta",
        "title": "Founder/CTO",
        "founder_bio": "I’m the co-founder and CTO at Frekil, building AI-powered workflows to generate automated real world evidence of drug performance. Previously, I worked as a systems software engineer at Sony Japan and declined a full-time offer from an HFT to build Frekil. I graduated from IIT Bombay this year, where I also led the institute web and coding club.",
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        "linkedin_url": "https://www.linkedin.com/in/shivesh-gupta-iitb/",
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      {
        "id": 90527,
        "title": "Frekil - Scale AI for Medical Scans 🚀",
        "tagline": "Scale AI for Medical Scans",
        "body": "Hey everyone, we’re [Nikhil](https://www.linkedin.com/in/nikhiltiwari-iitb/) & [Shivesh](https://www.linkedin.com/in/shivesh-gupta-iitb/), co-founders of Frekil!  👋\n\n## TL;DR\n\nFrekil is an end-to-end platform to procure and annotate medical imaging datasets like Xrays, CTs, MRIs, etc 10x faster with AI assistance. We’ve partnered with radiology chains for large-scale imaging data, and have a global marketplace of radiologists for rapid, high-quality annotations.\n\nhttps://youtu.be/2MYjUFp3r0Q?feature=shared\n\n## ❗The Problem\n\nAI is transforming healthcare, but the biggest bottleneck is still **access to medical images from hospitals and annotations by expert doctors**.\n\nHealthcare AI and life sciences companies spend millions collecting medical images and hiring expert radiologists. But annotations? They're still:\n\n📝 Manual\\\n🐢 Slow\\\n🔍 Hard to QA\n\nFinding expert annotators with deep domain knowledge is tough, which means R&D teams waste months and large budgets on a process that should be seamless.\n\nMedical annotation itself is uniquely challenging because it involves:\n\n📦 Gigabyte-scale files\\\n🧠 Complex, multi-dimensional data that’s sensitive to loss\\\n🎯 Accuracy that’s absolutely critical\n\nYet most teams still use open-source desktop tools like 3D Slicer, built decades ago for solo researchers. These tools:\n\n🚫 Require local machines\\\n📉 Offer no real-time collaboration\\\n📊 Force spreadsheet-based coordination\\\n🔐 Risk compliance and data security\n\nAnd the result?\\\nHighly trained radiologists are stuck doing repetitive tasks manually wasting time, slowing innovation, and compromising data quality.\n\n## 🧠 Our Solution\n\nWe transform the way healthcare AI teams prepare data by **accelerating and streamlining the entire annotation pipeline** — cutting timelines from months down to days.\n\nHere’s how:\n\n✅ Deliver fully annotated **medical datasets** tailored for AI research needs\n\n✅ Provide certified and benchmarked **radiologists** for annotation and quality assurance\n\n✅ Offer advanced, browser-based annotation tools for all kinds of medical images—radiology, pathology, histopathology, including X-ray, CT, MRI, ultrasound, etc\n\n✅ Use **AI assistance** to make annotators **10x faster**\n\n✅ Enable customizable clinical workflows with multi-stage reviews & annotations\n\n✅ Ensure **FDA-Ready** annotation versioning, consensus checks, and full audit trails\n\n✅ Track annotator performance in cost, time, and **accuracy** - all built in\n\n### 🤝 The Team\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXctdUlgsBRg891fZ4XU-Ve5trM2bw_h1PYuoQCy0NxrUigEoWMrHYVBO3D3IoAaUC7UPvtDzGxg0C_x2gyO0ujmyJs3_FxtXpLzIVPiUfIZqDKotuf5oeOiGmHyyPRLAzeDm9ORsA?key=Rm0k0m7MflJlURnfdp3zng)\n\nNikhil (left) and Shivesh (right) have been friends since their days at **IIT Bombay**, studying and building together. While working on healthcare AI projects, they experienced firsthand how painful annotation can be especially for large, multi-dimensional medical images that demand extreme accuracy.\n\n[**Nikhil**](https://www.linkedin.com/in/nikhiltiwari-iitb/) (CEO) - Former software engineer at **Stripe, Amazon**, and Marsh McLennan, where he worked on infrastructure, performance optimization, and low-level systems. He graduated from **IIT Bombay** last year, where he led technical initiatives in the student body SARC and built platforms used by 10,000+ students.\n\n[**Shivesh**](https://www.linkedin.com/in/shivesh-gupta-iitb/) (CTO) - Former systems software engineer at **Sony Japan**. He holds an engineering degree from **IIT Bombay**. During his time there, he worked on healthcare AI research and also led the institute’s web and coding club.\n\n## 👋 Our Ask\n\nKnow someone building AI in healthcare whether it’s diagnostic models, clinical trial workflows, or robotic surgery? We’d love to connect.\n\nWe have special offers for academic research, connect us with professors at your university working in healthcare AI!\n\nGot questions or want to chat? Reach out anytime at [founders@frekil.com](mailto:founders@frekil.com) !\n\nOr book a call directly at https://calendly.com/nikhil-frekil/30min ",
        "url": "https://www.ycombinator.com/launches/NY7-frekil-scale-ai-for-medical-scans",
        "votes": 607,
        "created_at": "2025-05-19T19:13:41.676Z"
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    "id": 30406,
    "name": "BitBoard",
    "slug": "bitboard",
    "former_names": [
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    "website": "https://bitboard.work",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.",
    "one_liner": "Let your agent build dashboards and reporting.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1746992332,
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      "Analytics",
      "Data Visualization",
      "AI"
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    "status": "Active",
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      "America / Canada"
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Connor Jones",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.",
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        "user_id": 1576262,
        "full_name": "Ambar Choudhury",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038",
        "x_url": "https://x.com/ambarc",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg"
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    "launches": [
      {
        "id": 100824,
        "title": "BitBoard: Analytics workspace for agents",
        "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.",
        "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n",
        "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents",
        "votes": 8,
        "created_at": "2026-05-06T21:45:16.447Z"
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    "id": 30441,
    "name": "stratify",
    "slug": "stratify",
    "former_names": [
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      "Stratify AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1a50cfaa4d20f355d56916b604b0530b1c260eb.png",
    "website": "https://www.trystratify.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stratify is the AI-powered user researcher that discovers the why behind every decision, click, and preference.\r\nOur platform uses agentic workflows that instantly recruit participants, conduct user interviews, analyze responses, and provide actionable insights.",
    "one_liner": "AI agents that help you understand your customers' needs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747936990,
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      "Conversational AI"
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    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/stratify",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/stratify.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getstratify",
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    "founders": [
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        "user_id": 2549216,
        "full_name": "Siddhartha Javvaji",
        "title": "Founder/CEO",
        "founder_bio": "Siddhartha is the Co-Founder and CEO of Stratify. Siddhartha studied Computer Science and Computational Biology at Stanford, where he conducted AI research at Stanford's Human-Centered Artificial Intelligence Institute.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/siddhartha-javvaji-23b81617a/",
        "x_url": "https://x.com/sidjavvaji",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7427f07b1b2b4bc6e930829a21ad27888d94f126.jpg"
      },
      {
        "user_id": 1159085,
        "full_name": "Pratham Hombal",
        "title": "Founder/CTO",
        "founder_bio": "Pratham is the CTO of Stratify. He studied Computer Science at Stanford, where he conducted high performance computing research and won top hackathon awards for building voice agents. \n\nIn the past, Pratham has been internationally recognized for his work in using ML for AI plagiarism detection, biological analysis, and cancer detection.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prathamhombal/",
        "x_url": "https://x.com/prathamhombal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/228b7b013d4267ef38d2d12403286d1f8567f64a.jpg"
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    "launches": [
      {
        "id": 90668,
        "title": "Stratify - The AI User Researcher",
        "tagline": "The AI-powered user research platform that discovers the why behind every customer decision, behavior, and preference.",
        "body": "Hey everyone! We’re [Siddhartha](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) and [Pratham](https://www.linkedin.com/in/prathamhombal/), co-founders of [Stratify](https://www.trystratify.com) and we’re saving companies millions by helping them understand their users better.\n\n# **TL;DR**\n\nFailing to understand _what_ your users truly want can kill a company. Stratify uses AI agentic workflows to instantly recruit participants, conduct dynamic user interviews, analyze responses, and provide actionable feedback. With simple queries like \"What do users think of our new checkout flow?\" or “Which prototype resonates most with users?”, Stratify delivers authentic customer feedback within a few hours.\n\n[Stratify Launch Video](https://youtu.be/j0Py7pKyuy4)\n\n---\n\n# **🤦‍♂️ The User Research Problem**\n\n**Here's the brutal truth**: 90% of product failures happen because teams don't truly understand their users. You can’t really blame them because traditional user research **is broken**:\n\n1. **💸 Focus groups are expensive:** $15K+ for 8 people in a room for 2 hours. Half of them drop out last minute, and you're left wondering if these insights represent your actual users.\n2. **📅 Manual interviews take weeks:** Booking user interviews feels like herding cats. Calendars stay empty for weeks while your launch deadline approaches. And big ideas _cannot_ wait.\n3. **📝 Surveys are unresponsive and impersonal:** Generic forms with dropdown menus can't capture the _why_ behind user behavior. You get some data, but absolutely no story.\n\n**The result?** Teams ship based on assumptions, not insights. Features flop. Users churn. Millions of dollars wasted.\n\n![uploaded image](/media/?type=post&id=90668&key=user_uploads/2549216/0e975083-d540-4aed-91ac-ea337164777b)\n\n---\n\n# **✨ Introducing Stratify**\n\nWhat if you could ask \"What do users think of our new product?\" and get answers from hundreds of real users in under a few hours? That's exactly what Stratify does.\n\n1. **🚀 Define your Research Questions:**\n\n   Simply describe what you want to learn about your product or upload product materials: _\"How do millennials feel about our pricing?\"_ Our vetted AI researcher transforms your query into a comprehensive study framework in seconds.\n2. **🎯 Smart Participant Matching:**\n\n   Set demographic and behavioral parameters or simply specify a query like \"U.S., Gen Z, Online Shopper, Foodie\". Our AI automatically finds the perfect participants from our network of millions of real users or directly within your own company’s customers.\n3. **🎥 Uncover Real Insights:**\n\n   Watch our AI agents conduct hundreds of interviews simultaneously, asking follow-up questions that dynamically adapt to each participant’s unique responses. Uncover the _why_ behind user behaviors that surveys and focus groups miss completely.\n4. **🧠 Instant Analysis:**\n\n   Transform hours of interview content into actionable intelligence instantly. Search conversations semantically, generate reports and slides presentations, or simply chat with your data to find exactly what you need to know.\n\n---\n\n---\n\n# **🎉 Our Ask**\n\n* **🚀 Building something new?** Try Stratify before your next feature launch, whether that’s your website, onboarding flow, product prototypes, etc. It could save you months of building the wrong thing—seriously.\n* **💬 Know any product managers, product designers, or founders?** They'd love this. User research is their biggest pain point.\n* **🙌 Support us** with a follow or share. Every bit helps us reach more teams who are tired of guessing what users want.\n\n---\n\n# **👥 The Team**\n\n[**Siddhartha**](https://www.linkedin.com/in/siddhartha-javvaji-23b81617a) (CEO) and [**Pratham**](https://www.linkedin.com/in/prathamhombal) (CTO) have studied computer science at Stanford, where they’ve conducted AI and high performance compute research at renowned labs. They met in their freshman dorm at Stanford and have been roommates and building together since.\n\nThey’ve been in your shoes. They’ve launched features that flopped, ignored user feedback until it was too late, and learned the hard way that assumptions kill products. Now they’re making sure no other team has to learn it the hard way.\n\n---\n\n---\n\n---\n\n---\n\n**_Users have opinions. Are you listening?_**\n\n* **Try Stratify:** [https://www.trystratify.com](https://www.trystratify.com/%5C)\n* **Questions?:** [sid@trystratify.com](mailto:sid@trystratify.com) & [pratham@trystratify.com](mailto:pratham@trystratify.com)\n\n ",
        "url": "https://www.ycombinator.com/launches/NaO-stratify-the-ai-user-researcher",
        "votes": 23,
        "created_at": "2025-05-22T22:15:46.972Z"
      }
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  },
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    "id": 30462,
    "name": "Freesolo",
    "slug": "freesolo",
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      "Clado",
      "Freesolo",
      "Clado"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45d118ce06f810c00f7b1f3105cf4f7906bd0d55.png",
    "website": "https://freesolo.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Freesolo works with companies to encode user-trajectory knowledge into specialized models that outperform the state of the art at much lower latency and cost.",
    "one_liner": "Product Native Models",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1742722403,
    "tags": [
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      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/freesolo",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/freesoloco",
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      "name": "Pete Koomen",
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        "user_id": 1528922,
        "full_name": "Eric Mao",
        "title": "Founder/CEO",
        "founder_bio": "Hello, my name is Eric. I used to study Computer Science and Business at the University of Pennsylvania. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eric-mao/",
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      {
        "user_id": 2374036,
        "full_name": "Tom Zheng",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder @ Freesolo, automating model training. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tomzhengy",
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    "launches": [
      {
        "id": 105027,
        "title": "Freesolo: Post-Training Built for your Agent",
        "tagline": "Small models, frontier performance",
        "body": "Not every AI interaction is best served with a large frontier model. There is a long tail of trillion-token use cases, from tagging to search, best served by a sub-10B-parameter model that runs in milliseconds and costs many orders of magnitude less than the frontier. However, engineers historically had to choose between model size and quality; as models got smaller, performance, adherence, and recall dropped linearly. Post-training on production data closes that gap. We built Freesolo Flash to make training loops like SFT and RL easy and end-to-end completable through your coding agent.\n\nWe accomplish this in a few different ways\n\n* Upfront pricing: instead of billing by GPU hours or tokens spent while training, we quote the cost of the entire run upfront, so your agent can accurately tweak the dataset, model size, and algorithms it uses while staying in your budget before it starts the run.\n* Our GPU infrastructure is optimized to make your specific run as in-expensive and fast as possible. This optimization means training with flash is 8x less expensive for SFT and 5.5x less expensive for GRPO (RL) when compared to Tinker.\n\nFlash is built out of our own frustrations with current managed post-training solutions, especially for SLMs. We believe that unlocking frontier capability for a narrow task into a small model will prove to be the best improvement for all agentic product UX. Flash is our first step towards solving this. Just grab a Freesolo API Key, point your agent at the training package, and watch it push your lightweight model beyond the frontier.\n\nFlash is publicly available today at  <https://freesolo.co>[ ](https://freesolo.co/). Train on!",
        "url": "https://www.ycombinator.com/launches/RJz-freesolo-post-training-built-for-your-agent",
        "votes": 3,
        "created_at": "2026-07-13T19:38:20.322Z"
      },
      {
        "id": 90716,
        "title": "Clado: Deep Research for People",
        "tagline": "100,000+ agents to find the right people at the right time",
        "body": "Clado puts 200 million+ people profiles (and growing) at your fingertips with simple, agentic search. \n\nIf you’re interested in a global people search for sales, spreadsheets, hiring, and more, let’s talk: https://cal.com/clado/chat\n\n**We’d love for you all to try Clado out live!** https://clado.ai\n\nhttps://youtu.be/NEqtIFNZJoU\n\n❌ The Problem: Keywords, Filters, Data\n\nFinding the right people is broken. Current methods of people search are made up of endless filter menus, incomplete data sets, and keyword search. It takes tremendous effort and time to find people for sales and hiring, as current search methods rely on fuzzy filters in limited datasets. \n\n✅ Solution: Clado uses agentic search to find exactly who you're looking for. Just describe the qualities you want, and we will deploy hundreds of thousands of agents to find them.\n\n![uploaded image](/media/?type=post&id=90716&key=user_uploads/2374036/2faf2b26-e574-43af-8bdc-933ad4b2f2e7)\n\nThese example searches are time-consuming to execute with standard filtering tools and elude traditional keyword filters.\n\n_\"AI Engineers I can poach for my pharmaceutical startup/interested in biology in Copenhagen.\"_\n\nAn even harder one:\n\n_“Every exec (Owner/CEO/COO/CFO/Partner/Head of Growth/CTO) at accounting firms in the US and UK between 250 - 2000 employees\"_\n\nAfter internally benchmarking our people search engine against other platforms, our model achieves SOTA performance. \\\n\\\nWhat good is finding the right person if you can’t easily contact them? We’re also able to achieve SOTA performance on contact delivery information retrieval given any Linkedin URL (provided for every result in our search). \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdlMEsme5O2KS7jDjVQ5meLUOG0wSsn4dUDYSaIlwQ2hYDg2Sa7HGCVi_7rjnEAfXWNdODe05Fhghlf6BVYD0z6QlbEjh4B1N1rGLlh3M_RqfIRDrIdpkdKJQzZivA3A7cMH7D93w?key=IzTsz7ArVY5QuH96a3WVtw)\n\nTesting Conditions:[ https://pastebin.com/98PVVN9b](https://pastebin.com/98PVVN9b)\\\n\\\nThe Team:\\\nTom (UCSD) & Eric (UPenn M&T) are both ambitious freshmen who met in elementary school. They previously founded a nonprofit and won Canada’s largest data science & physics competitions.\\\n\\\nThey’ve also sailed over 300 nautical miles over 10 days, canoed 100km over 6 days, walked around Toronto hanging up posters for their first business for two weeks straight, and traveled to Sri Lanka on a three-day notice to present at a conference together. \\\n\\\nTry clado: https://clado.ai\n\n📅 Book a meeting: [**https://cal.com/clado/chat**](https://cal.com/clado/chat)\n\n📧 Email us: [**founders@clado.ai**](mailto:founders@clado.ai)",
        "url": "https://www.ycombinator.com/launches/NbA-clado-deep-research-for-people",
        "votes": 80,
        "created_at": "2025-05-27T20:44:55.352Z"
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    "name": "Sixtyfour",
    "slug": "sixtyfour",
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    "website": "https://www.sixtyfour.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sixtyfour deploys AI agents that investigate people and companies across the open and dark web, official records, proprietary databases, and unstructured sources. We resolve identities, map entity relationships, and surface risk signals for teams where data quality is essential.",
    "one_liner": "Intelligence Infrastructure on People and Entities",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1747432267,
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/sixtyfour.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/sixtyfourai",
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        "full_name": "Saarth Shah",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Sixtyfour. Previously, engineering @ Whatnot (W20) and Deepgram AI (W16). UC Berkeley alum. Ex-Data Science Researcher @ Stanford Snyder & San Diego Supercomputer Center.",
        "is_active": true,
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        "full_name": "Christopher Price",
        "title": "Founder/COO",
        "founder_bio": "Cornell CS, AI CalHacks Winner, Prev @ Onyx (YC W24), Currently Building AI Agents for GTM",
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      {
        "id": 102050,
        "title": "Sixtyfour - People Intelligence Infrastructure",
        "tagline": "Deploy thousands of AI agents to research any person or company.",
        "body": "👋 Hi, we're Saarth and Chris, co-founders of Sixtyfour (YC X25). \n\n<https://www.youtube.com/watch?v=9Q0aVTtXFM4>\n\n**The problem**\n\nIn 2025-2026 alone, Texas, Nevada, Indiana, and New Jersey all sued Discord for failing to identify predators on the platform.\n\nAnonymous accounts on Polymarket made $2.4M with a 98% win rate on Iran war bets.\n\nOnur Aksoy ran 19 shell companies and 25 Amazon storefronts, selling $100M in counterfeit Cisco gear that ended up on US military aircraft.\n\nToday, teams that need to follow it (Trust &amp; Safety, KYB, threat intel, due diligence) throw analyst teams at it. Still not trusting the answer after days or weeks of research. Not to mention it doesn't scale.\n\nBad actors slip through. People get harmed.\n\n**What we built** \n\nThe child predator's username. The scammer's banned accounts. The fraudster's shell company. \n\nAll of them leave a trail.\n\nImpossible to connect, but the trail was always there.\n\nOur agents have now made it possible to follow it.\n\nGive us one identifier (a name, email, phone number, username, or company name), and we deploy agents to recursively search the open web, dark web, social platforms, court records, and regulatory filings. Every signal is cross-referenced across thousands of sources. Every data point cited.\n\nCompanies using us today:\n\n* Cloaked uses us to uncover highly sensitive, hidden data about people, identifying attack vectors against their users.\n* TRM Labs uses us to attribute bad actors to real-world identities.\n* Airwallex uses us to screen counterparties for shell companies and AML risk.\n* Whatnot uses us to find qualified marketplace sellers that no platform can surface.\n* Surge, Turing, and Datacurve use us to source niche domain experts for AI training data.\n\nTo name a few.\n\n**Two ways to use it**\n\n1. App at [app.sixtyfour.ai](http://app.sixtyfour.ai)\n2. [API](https://docs.sixtyfour.ai/introduction) + [MCP](https://docs.sixtyfour.ai/developer-tools/mcp-setup) server to plug into Claude, Codex, Cursor, or your own stack\n\n\\\n**The numbers**\n\nIn the next couple of weeks, we’ll publicly release our benchmark results with independent validation from one of the world’s leading data labs.\n\nOur new deep people research system sets a new state-of-the-art, outperforming Gemini 3.1 Pro, Grok 4.20, GPT 5.4, Exa Deep Reasoning, and Parallel Ultra while running 3x faster than the closest competitor.\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/9d779b0d-a669-4606-991d-d7a595ab098e)\n\n\\\n**Our ask**\n\nWould really love Intros :) \n\n* Heads of Trust &amp; Safety, \n* Fraud, AML, or KYB at marketplaces, banks, and fintechs \n* Heads of Risk and Threat Intel at cybersecurity teams \n* Heads of Talent and Recruiting at hypergrowth companies\n* Companies needing people and company data enrichment solutions\n\n\\\nReach out at [saarth@sixtyfour.ai](mailto:saarth@sixtyfour.ai)\n\nHiding just got harder. Try it now at [app.sixtyfour.ai](http://app.sixtyfour.ai).\n\nSaarth, Chris &amp; the Sixtyfour team\n\n![uploaded image](/media/?type=post&id=102050&key=user_uploads/804300/b56fa1e1-efb9-4695-9e4f-d1af45d331dd)\n\n",
        "url": "https://www.ycombinator.com/launches/QXy-sixtyfour-people-intelligence-infrastructure",
        "votes": 21,
        "created_at": "2026-05-27T19:22:20.361Z"
      },
      {
        "id": 90535,
        "title": "Sixtyfour - Bloomberg Terminal for sales",
        "tagline": "We help hypergrowth companies deploy custom research agents that map their TAM and surface real-time, tailored market signals.",
        "body": "Enterprise sales teams spend 50% of their time on research that misses the mark. Here's why — and how we're fixing it.\n\nHey everyone! We’re Saarth & Christopher – the founders of Sixtyfour. 👋\n\n**TL;DR**\n\nSixtyfour AI is the Bloomberg Terminal for sales. We work with hypergrowth companies to deploy custom research agents that map their Total Addressable Market and deliver real-time market signals, fully tailored to what matters most.\n\nCustomers like **Mercor**, **Traba**, **Hockeystack**, and **Conduit** use Sixtyfour to stay ahead of the curve.\n\n<https://youtu.be/s45NR6diBPo>\n\n**🧠** **The Enterprise GTM Problem**\n\nIf you’re selling into a niche or regulated market ( health systems, manufacturing, fintech, govtech, and so on), you already know: generic data platforms don’t work.\n\nHere’s why:\n\n**💡 “Intent signals” are too broad**\n\nMost tools will tell you someone visited a pricing page. That’s not useful when you’re selling a $250K solution into a regional hospital network or a logistics hub in the Midwest.\n\n**🧱 The nuance is everything**\n\nEnterprise sellers ask real questions:\n\nDid that manufacturing facility just expand its fleet?\n\nDoes it have two or three parking bays?\n\nDid that nursing home file a new Medicare cost report?\n\nIs the new VP of Ops a better entry point than the outgoing admin director?\n\nThese are the signals that drive pipeline and predict fit, and no off-the-shelf platform can give you that.\n\n**🔍 Static filters can’t model your ICP**\n\nTry finding “companies that just adopted Drift, expanded their marketing team by 30%, and hired a new CRO in the past 90 days” in traditional tools. Impossible. Our agents live in that world\n\n**✨ The Sixtyfour Advantage**\n\nWe don’t sell contact lists. We build intelligence infrastructure for your GTM engine.\n\n**📍 Custom TAMs, always current**\n\nWe work with your team to define and continuously update your market using real-world, dynamic data — regulatory filings, facility attributes, staff movements, and even track infrastructure like parking lot size.\n\n**📡 Proprietary real-time signals**\n\nFrom Medicare cost report changes to decision-maker exits to new vendor adoption — we detect what matters to your team, as it happens.\n\n**🧠 Deployable custom ML models**\n\nHave internal data on close rates, deal velocity, or expansion triggers? We plug it in.\n\nWe can train and deploy custom ML models to estimate buyer readiness, ICP fit, churn risk, and more, directly tailored to your pipeline data.\n\n**🤖 Agents that think like your best rep**\n\nOur AI agents mirror your go-to-market motion, tracking, qualifying, and notifying you at the exact right time.\n\n**👥The Team**\n\nWe’re both repeat founders who have built and sold into complex markets.\n\nSaarth is a UC Berkeley Data Science grad and ex-Whatnot (YC W20), Deepgram (YC W16), and Stanford researcher. He built one of the earliest conversational AI agents (Dart) and has been shipping products since he was 10.\n\nChristopher, a Cornell dropout, led GTM at Onyx (YC W24) and built sales AI tools at Symbl. He’s a CalHacks AI winner and ex-analyst at Cornell Atkinson, with deep experience across AI, ops, and consumer tech.\n\nWe’ve lived the pain of building GTM systems by hand, and we’re building the platform we always wished existed.\n\n**👋 Our Ask**\n\n🏢 Know a GTM, RevOps, or sales leader at an enterprise or hypergrowth vertical SaaS company? Send them to [sixtyfour.ai](http://sixtyfour.ai) — we’d love to chat.\n\n💬 Frustrated with generic signals and shallow filters? Let’s build something that works for your team.\n\nEvery intro, share, and shoutout means the world. Thank you — we’re just getting started.\n\n![uploaded image](/media/?type=post&id=90535&key=user_uploads/804300/0c80ad45-4d97-43f6-8fed-9a5782416b19)\n\n",
        "url": "https://www.ycombinator.com/launches/NYF-sixtyfour-bloomberg-terminal-for-sales",
        "votes": 156,
        "created_at": "2025-05-19T22:27:28.413Z"
      }
    ]
  },
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    "id": 30465,
    "name": "Photonium",
    "slug": "photonium",
    "former_names": [
      "PhotonIQ"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png",
    "website": "https://www.photoniumoptics.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Photonium is building software to automate optical system design. We supercharge optics experts with intelligent tooling to reduce costs and deliver faster. We handle the full design stack — from optimization, verification, sourcing, to prototyping — for AR/VR, quantum, biotech, metrology/chip fab, LiDAR, and more. ",
    "one_liner": "AI-Powered Optical Consulting & Software",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1748388578,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Machine Learning",
      "B2B",
      "Manufacturing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/photonium",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/photonium.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/photonium-optics/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f9f89a3e11065395408b656b79f12f0fd9868a1.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 2467765,
        "full_name": "Jennifer Song",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Photonium. Quantum Computing at Harvard/Stanford/QuEra",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jennifer-y-song",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/727e50b2591f66ca240e53da3afda54e3a081413.jpg"
      },
      {
        "user_id": 1865732,
        "full_name": "Adam Mhatre",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Photonium. Computational Physics at Stanford",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adam-mhatre-5b8aaa230",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9986f5f0661a450e5b754ef2c49dce90970e9db.jpg"
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    ],
    "jobs": [
      {
        "id": 79020,
        "title": "Founding ML Engineer",
        "url": "https://www.ycombinator.com/companies/photonium/jobs/JEOfTqj-founding-ml-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "Machine learning"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90808,
        "title": "Photonium: AI-Accelerated Optical Design Automation ⚛️",
        "tagline": "Design optical systems faster and cheaper.",
        "body": "Hey YC!\n\nWe’re [Jennifer](https://www.linkedin.com/in/jennifer-y-song) and [Adam](https://www.linkedin.com/in/adam-mhatre-5b8aaa230/) - cofounders of Photonium.\n\n**TL;DR**\n\nPhotonium automates optical system design with AI, replacing costly manual iteration with end-to-end system optimization.\n\n**🚨 The Problem**\n\nOptical systems are mission-critical across many high-growth sectors — including quantum technology, biomedical imaging, LiDAR for defense and autonomous vehicles, and metrology for semiconductor fabrication.\n\nBut designing them is a nightmare:\n\n* Companies pour millions into teams of 20+ optical engineers\n* Projects take months or years to go from R&D to production\n* Tools are fragmented and outdated\n* Optimization is manual and often based on trial-and-error\n\nEngineers spend countless hours on repetitive workflows — constrained by tools that haven’t changed in decades.\n\n**⚙️ Our Solution**\n\nPhotonium is building the electronic design automation (semiconductor EDA) for optics. We work with complex optical setups across industries and handle the entire design process — from system generation and optimization to simulation, tolerancing, and sourcing.\n\nPhotonium enables companies to:\n\n* Generate and optimize designs from product specs\n* Predict tolerance impacts without slow simulations\n* Recommend data-driven alignment and manufacturing tweaks\n* Optimize for cost, size, and performance trade-offs\n* Seamlessly integrate with existing CAD workflows and optics simulation tools\n* Automate the full design-to-sourcing pipeline\n\n[Launch Video](https://youtu.be/YvX3Xr2_Gt8)\n\n**🚀 The Team**\n\nJennifer studied physics, math, and CS at Harvard and built quantum optics experiments across Harvard, Stanford, and QuEra (a Google-backed quantum computing startup).\n\nAdam studied computational physics at Stanford, and worked on plasma simulation for fusion and large-scale astrophysical modeling of black holes.\n\nWe’ve both felt the pain of inefficient engineering design firsthand — and built Photonium to fix it.\n\n⚛️ **Why This Matters**\n\nOptical systems are foundational to cutting-edge technologies, from quantum computing to semiconductor fabrication. Yet, outdated tools and fragmented workflows slow innovation and inflate costs. We hope to eliminate these bottlenecks and accelerate innovation across industries.\n\n📣 **Our Ask**\n\nIf you know anyone working with lasers and optics in any context, we’d love to chat! Contact us at [founders@photonium.ai](mailto:founders@photonium.ai)\n\n![uploaded image](/media/?type=post&id=90808&key=user_uploads/2467765/c27811f3-aa01-4860-9682-d3136973df3e)\n\n",
        "url": "https://www.ycombinator.com/launches/Nce-photonium-ai-accelerated-optical-design-automation",
        "votes": 51,
        "created_at": "2025-05-28T19:10:45.827Z"
      }
    ]
  },
  {
    "id": 30468,
    "name": "Clidey",
    "slug": "clidey",
    "former_names": [
      "Clidey WhoDB"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaee1ea603a9cd9e2411a3a9821c8820cdfb0f90.png",
    "website": "https://clidey.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "WhoDB is an open-source platform for modeling organizations and running decisions on top of their data.\r\n\r\nIt lets teams define their core entities (customers, accounts, assets, workflows), the relationships between them, and the rules and objectives that govern how decisions should be made. WhoDB continuously ingests operational data and keeps this model up to date in real time.\r\n\r\nInstead of building dashboards, writing ad-hoc queries, or maintaining scattered business logic, teams express decisions declaratively—what should happen, under what conditions, and with what constraints. WhoDB evaluates those decisions automatically as data changes and produces actions, recommendations, or state updates.\r\n\r\nEverything is transparent and inspectable: data models, decision logic, and outcomes are fully auditable and can be extended in code.",
    "one_liner": "Turn scattered data into one platform for decision-making",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747802459,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/clidey",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/clidey.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/clidey",
    "x_url": "https://x.com/clideyofficial",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/clidey/",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaee1ea603a9cd9e2411a3a9821c8820cdfb0f90.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
    },
    "founders": [
      {
        "user_id": 581232,
        "full_name": "Hemang Kandwal",
        "title": "Founder/CEO",
        "founder_bio": "He previously worked at Palantir and financial firms. Developed over 20 proof of concepts with many chosen for awards by BlackRock, J.P. Morgan, Craneware, and ARM.\n\nBuilding Clidey.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hemangkandwal",
        "x_url": "http://x.com/hemangkandwal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7ce41fa41b9779ac48050b969004fea675927c6.jpg"
      },
      {
        "user_id": 1558575,
        "full_name": "Anguel Hristozov",
        "title": "Founder/CTO",
        "founder_bio": "Anguel has been solving tough problems for a long time. From fixing and managing his high school's laptop fleet to developing financial software with the goal of preventing another 2008 financial crisis, he's no stranger to experimentation, failure, and learning.\n\nBeyond code, he's dedicated to enriching his local community by organizing meetups, mentoring students, and continuously exploring new technologies and ideas.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ahristozov",
        "x_url": "https://x.com/anguel_hh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f4b1d44df3b9b106626fe488916b31ebf698a06.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "From Cloud IDE to DevOps: The Clidey Journey",
        "url": "https://podcasts.apple.com/us/podcast/32-peaking-with-anguel-hristozov-from-cloud-ide-to/id1804479570?i=1000720655588",
        "date": "Aug 05, 2025"
      },
      {
        "title": "The European startups that made it to Y Combinator’s spring batch | Sifted",
        "url": "https://sifted.eu/articles/y-combinator-spring-2025",
        "date": "Jun 23, 2025"
      },
      {
        "title": "Clidey 2025 Company Profile: Valuation, Funding & Investors | PitchBook",
        "url": "https://pitchbook.com/profiles/company/773945-20#research",
        "date": "Jun 15, 2025"
      },
      {
        "title": "Clidey X TBPN  - YouTube",
        "url": "https://www.youtube.com/watch?v=_lveZrvY2Jw&t=5441s",
        "date": "Jun 11, 2025"
      },
      {
        "title": "Can Clidey Become the Stripe Docs of Internal Developer Tools?",
        "url": "https://hiretop.com/blog4/clidey-automated-developer-documentation-docucod/",
        "date": "Jun 03, 2025"
      }
    ],
    "launches": [
      {
        "id": 90620,
        "title": "Docucod 🐟 Automatically generate and maintain your project documentation",
        "tagline": "Write code, not documentation. Docucod auto-creates and updates docs from your codebase and PRs—so your team stays focused on shipping.",
        "body": "Hello world 🏄 we are [Hemang](https://www.linkedin.com/in/hemangkandwal/) and [Anguel](https://www.linkedin.com/in/ahristozov/) from [Clidey](https://www.linkedin.com/company/clidey/), and we are building [Docucod](https://docucod.com/)!\n\n**TL;DR:**\n\n**Docucod automatically generates and maintains complete, always-up-to-date documentation—straight from your codebase.**\n\nDemo video: https://youtu.be/SAaZq9UHAic\n\n# **❗** What is the problem?\n\nOn average, developers spend **20–30% of their time** maintaining documentation—and that doesn’t even include the time it takes to create it in the first place. That’s nearly **12 hours in a standard 40-hour week**, often more if you're part of a fast-growing team.\n\nMost tools are still manual and time-consuming, stealing hours better spent building, selling, or scaling.\n\nGreat documentation isn’t just helpful—it’s a **growth engine**. Look at Stripe: their docs earn trust and convert users.\n\nThe truth? At most companies, documentation is an afterthought (we haven’t written ours yet either!) And we get it—“documentation specialist” usually isn’t on anyone’s job title.\n\n# 💡 What is the solution?\n\n**Docucod auto-generates and maintains always-up-to-date documentation—straight from your codebase.** You continue building, we’ll focus on the documentation.\n\nIt fits effortlessly into your workflow, whether you’re a small team or managing complex repos.\n\nFrom onboarding guides to API references and system diagrams, Docucod delivers clear, comprehensive docs with zero manual work.\n\nFully editable and always in sync, it lets you ship fast **and** document well—without compromise.\n\n# 🧠 How it works:\n\n* Connect your GitHub account and select a repo.\n* Docucod scans your repo to understand its structure and functionality, building an intelligent knowledge graph that maps out components, features, code flow, and so on.\n* It creates a structured documentation plan, outlining sections, navigation, and individual pages.\n* Docucod generates rich content with diagrams and contextual clarity.\n* Finally, it automatically pushes the documentation back to your repo for deployment.\n\n# 😎 Want to see some real examples?\n\nhttps://github.com/clidey/whodb-docs - deployed at http://whodb-docs.docucod.com/\n\nhttps://github.com/clidey/todos-docs - deployed at https://todo-docs.docucod.com/\n\n# 💯 Who Are We and Why Did We Build This?\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/1eddcff2-4b1a-4343-847d-eb35680c9693)\n\nWe’re Hemang and Anguel—friends, builders, and longtime hackathon teammates. After years working at places like Palantir, J.P. Morgan, and Morgan Stanley, we saw one issue everywhere: documentation gets rushed, postponed, or skipped—and the fallout is always the same.\n\nWe built Docucod because this isn’t a people problem—it’s a systems problem. The fix isn’t better habits. It’s automation.\n\n> **We’re here to make documentation sexy again.**\n\n# 🤔 Is Docucod right for you?\n\n**Don’t use Docucod if:**\n\n🚫 You enjoy rewriting GitHub auth instructions.\n\n🚫 You love writing and maintaining docs by hand.\n\n**Use Docucod if:**\n\n✅ You want docs that stay up to date—automatically.\n\n✅ You want new hires productive on Day 1.\n\n✅ You’d rather ship than document.\n\n# 🥹 Our ask:\n\nIf this resonates with you, **get in touch:**\n\n[hemang.kandwal@clidey.com](mailto:hemang.kandwal@clidey.com), [anguel.hristozov@clidey.com](mailto:anguel.hristozov@clidey.com), or\n\nhttps://calendly.com/clidey/conversation-with-clidey-15-min - if there’s a time that you’d like to speak but it shows as unavailable, please just message us!\n\nIf you owned documentation or know someone who owns it now, we would love to get a warm introduction.\n\nLet’s make documentation an asset—not a chore.\n\nThat’s our fish! 👇\n\n![uploaded image](/media/?type=post&id=90620&key=user_uploads/1558575/afe2507e-ada5-46a5-b9f8-93eb3ab48a36)\n\n",
        "url": "https://www.ycombinator.com/launches/NZc-docucod-automatically-generate-and-maintain-your-project-documentation",
        "votes": 164,
        "created_at": "2025-05-21T21:20:54.731Z"
      }
    ]
  },
  {
    "id": 30469,
    "name": "HABIT",
    "slug": "habit",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/346513b86ce82dc04f53e62543ed7ec57a508425.png",
    "website": "https://habit.inc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build autonomous research agents that accelerate frontier world models.",
    "one_liner": "Accelerating world models.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747768090,
    "tags": [
      "Generative AI",
      "Robotics",
      "B2B",
      "API",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
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        "title": "Morphik: Open‑source multimodal RAG that works on technical docs",
        "tagline": "Turn your complex private data into grounded answers",
        "body": "Hey YC! 👋 We’re Adi and Arnav, co-founders of Morphik (https://morphik.ai).\n\n### **TL;DR**\n\n* **Problem:** Knowledge workers spend a lot of their time searching complex documentation with diagrams, tables, or spreadsheets, just to find relevant information. Text‑only RAG misses details, hallucinates, and provides half-baked responses.\n* **Solution:** Morphik embeds whole pages (image + text, no OCR), auto‑builds a knowledge graph, and serves it through a UI, SDK, or REST API. We have 90 % accuracy on arXiv QA (and we can fine-tune for your use case 🙂).\n\nWatch our demo video: https://www.youtube.com/watch?v=3adZQhm5JZY\n\n### **Problem**\n\nRAG breaks the moment documents stop being blobs of text.\n\n* Knowledge workers spend a lot of their time (people we spoke with said 50-70% time just in the research phase). eg. electrical engineers finding perfect PCB spec, pharma companies trying to search ELNs for similar experiments.\n* 80% of enterprise knowledge lives in diagrams, tables, images, CAD, scanned pdfs, not .txt.\n* “Multimodal” models still hallucinate or miss key context because the retrieval step sees only text, or they rely on tools to retrieve diagrams, or context. (https://docs.morphik.ai/blogs/gpt-vs-morphik-multimodal)\n* Teams glue together OCR, vector DBs, and regex‑heavy ETL that becomes a brittle monstrosity.\n\n### **Solution**\n\nDirectly embedding and search over page images\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdzvQJeEBmnvZI1Mkl2ZYCtsN0AG4Mx5JpcN4RtivMfndGshgTkj1uZcb8BkFAkXXNCpg9TPqeIKsqCXscaLzGDNO2e8TFn8naJPkJ_XtceDHlwNrAAcV69QGYlzSOwvdofI7FksQ?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen you ingest in Morphik, in addition to OCR, we create direct embeddings for the image of a page (or frames in a video). When you ask “Colpali comparison to standard RAG”, the LLM sees the actual page image, so multimodal models can reason over arrows, labels, scales, and colours just like a human.\n\n### **Rules Engine**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcOXXa3wTpZV26zi8kaucVOt2QuUgKKfrdvlyqlFfeHmDUudWpNaS-r6KNm5--4Joz4rE5tsiu_NDqlHnRE914l7ad4YtKRRLc_X1gm7BteBR0aMN446aia7LGA1l7b2UJMor97?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen ingesting, you can define rules for data extraction (which would again consider tables, diagrams), or define natural language rules for PII redaction, or content transformation.\n\n### **Deployment ready, scalable**\n\nMorphik comes built in with folder scoping, end user scoping, GPU accelerations, and fine grained permissions, so you can prototype and deploy with enterprise grade features. It’s end‑to‑end, so you don’t scramble to make duct tape fixes.\n\n### **One more thing…Morphik Research Agent**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL9LvkrH861vRDhuFlYlBy0LsjlhMOYVBLRLdnj903G5L3QMgx12ziGZJhO_h2SzAakjD27e0Yeu4XZwmsE4Yv1BGNRj-OGc41i798xy_UW9MVHISzJy0GBrTsOWWqWBGdtGKhmg?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nOur research agent uses Morphik’s retrieval, graph, and extraction APIs as tools. It chains them automatically, jumping from doc to doc, node to node, seeing figures, till it finds the needle in the haystack, or has enough context to answer your questions. “Describe the third pin on the USBC21 diagram” will get the diagram, find the pin, jump to the table with pin descriptions, jump to page 13 to “find more details on page 13”.\n\n### **Why we might be interesting to you**\n\n* Building an internal ChatGPT over messy manuals? Morphik is the fastest way to ship something users _trust_.\n* Developing an AI product? Swap your vector‑DB‑plus‑duct‑tape stack for a single SDK call.\n* Researching graph‑RAG? CAG? We have it all.\n\n### **Our Ask 🙏**\n\n1. **⭐ Star / watch** https://github.com/morphik-org/morphik-core – open source momentum matters.\n2. **Introductions** to teams drowning in technical docs (healthcare, manufacturing, legal, electrical engineers).\n3. Tell us **what still hurts in your RAG stack**, comment, **DM, or email** [founders@morphik.ai](mailto:founders@morphik.ai) or [book a call](https://cal.com/adityavardhan-agrawal-x6jyhq/30min).\n\nThanks for reading!\n\nAdi & Arnav",
        "url": "https://www.ycombinator.com/launches/NT2-morphik-open-source-multimodal-rag-that-works-on-technical-docs",
        "votes": 71,
        "created_at": "2025-05-09T14:13:45.820Z"
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    "long_description": "throxy builds custom vertical AI agents and pairs them with human SDRs and ultra personalised email sequences to book meetings for B2B software companies selling into traditional industries (e.g. manufacturing, logistics, construction, supply chain)\r\n\r\nOutbound is broken. Generic automation gets ignored and decision-makers in legacy sectors are hard to reach. Most of your TAM isn't even on LinkedIn, and tools like Clay, Apollo, and ZoomInfo only cover about 65% of the market. throxy fixes this by running bespoke, fully managed outbound systems for software sales teams trying to crack these industries. We use proprietary scraping tools to map your entire addressable market, then combine AI agents with human experts to deliver hyper-personalised email campaigns and human cold calling that is consistently generating six-figure qualified pipelines.\r\n\r\nSince 2023, throxy has powered outbound for B2B software companies, from industrial SaaS to fintech providers, replacing the need for internal SDR teams or stacks of tools with a solution that outperforms on both speed and quality. Today, we have a team of 55 across London and Cape Town, booking on average 8 to 12 qualified meetings per month per client, with some clients seeing 20+ in their first weeks after we doubled down on human-led cold calling.\r\n\r\nAI handles the data: building custom databases, scoring leads against your ICP, and personalising outreach at scale. Humans handle the conversations: real cold calls, real emails, real relationships. That's the difference between us and every AI SDR on the market.\r\n\r\nOur founding team has built AI at JP Morgan, scaled businesses from age 14, and led enterprise sales from Seed to Series D. We're not just automating outbound, we're redefining what sales execution looks like for software companies selling into traditional industries.\r\n\r\nthroxy is the \"AI SDR\" purpose-built for the sectors software forgot.",
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        "full_name": "Arnau Ayerbe Garcia",
        "title": "Founder/CEO",
        "founder_bio": "making it easier to speak with your ideal customers.\n\nno more repetitive manual outreach.\n\nthe future is human connections.",
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        "full_name": "Pablo Jimenez de Parga Ramos",
        "title": "Founder",
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        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/ncqidMq-sales-development-representative-sdr",
        "location": "Cape Town, WC, ZA / Cape Town, Western Cape, ZA / Johannesburg, GP, ZA / Johannesburg, Gauteng, ZA / Remote (ZA)",
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        "url": "https://www.ycombinator.com/companies/throxy/jobs/bgsg88w-summer-intern",
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        "id": 108617,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/throxy/jobs/BJ4GQ0I-software-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£70K - £120K GBP",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
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        "skills": [
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      {
        "title": "Base10-backed Throxy challenges AI sales giants with pay-per-meeting model",
        "url": "https://venturebeat.com/ai/base10-backed-throxy-challenges-ai-sales-giants-with-pay-per-meeting-model",
        "date": "Sep 04, 2025"
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      {
        "id": 90134,
        "title": "throxy | Book meetings without the busywork.",
        "tagline": "You want more meetings, but outbound? Total nightmare. We’ll fix it for you.",
        "body": "Hey everyone 👋 — we’re **Bergen**, **Pablo**, and **Arnau**, and we’re building **throxy**.\n\nHiring SDRs is expensive. Managing tools is a full-time job. Agencies spam your market and burn trust.\n\nWe started throxy in 2023 because we lived the chaos, and knew there had to be a better way.\n\n<https://www.youtube.com/watch?v=3q1Ud9V5GP8>\n\n### ❌ The Problem\n\n* Building an SDR team takes months, and burns $150K+ before you see results.\n* Tool stacks (Clay, Instantly, Apollo, etc.) require constant management and constantly break.\n* Most agencies rely on automation and generic messaging that _kills trust_.\n\nCompanies selling into legacy industries suffer most, where reaching the right decision-makers requires **trust, precision, and care**.\n\nIf you’ve sold into sectors like manufacturing, logistics, healthcare, or finance, you’ve felt it: **complex buyers, long sales cycles, and real consequences.**\n\nSpray-and-pray doesn’t work here.\n\n**We win where others fail — in industries where trust isn’t optional, and precision means pipeline.**\n\n### ✅ Why Throxy Wins\n\nWhere most AI sales tools generalise, **we specialise**.\n\nWe design, build, and run **fully-managed outbound systems, so you don’t have to** — combining AI-powered execution with human-level strategy.\n\nYou tell us your ICP and how many meetings you want. We handle the rest.\n\n* 🔍 **AI-powered research** to find real decision-makers — not just job titles\n* ✍️ **Hand-written** **messaging** with your buyer’s language — not templates\n* 🛠 **Deliverability stack**: domains, warmup, inboxes — all done for you\n* 🧠 **Human-led strategy** from operators who’ve sold in these sectors\n* 📅 **Qualified meetings**, delivered to your calendar — no tools, no SDRs, no micromanagement\n\nWe’re already generating **six figures in pipeline** for B2B companies selling into hard-to-crack industries like manufacturing, logistics, finance and healthcare. Built for founders, CEOs, CROs, and sales teams.\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/4da51dcd-3789-4946-af08-86ccf54ca594)\n\n### 💡 Why We're Building This\n\nWe believe outbound should be **automated, intelligent, and deeply humanised,** not a messy stack of disconnected tools and guesswork.\n\nSales teams should focus on building relationships and closing deals, not juggling tools, bloated teams or manual workflows.\n\n**throxy’s vision is a world where outbound is fully automated yet precisely human, freeing up human capital to think, connect, and close.**\n\n### 👋 Meet the Founders\n\n* **Bergen** built his first online business at 14 and brings operational execution at scale\n* **Pablo** ran enterprise sales from Seed to Series D, and knows how to break into tough markets\n* **Arnau** led early GPT-2 and BERT systems at JP Morgan and drives AI & product\n\n### 👇 Want to see what “done-for-you” outbound _actually_ looks like?\n\nWe’re live. We’re booking meetings.\n\nAnd we’re looking to partner with more companies targeting traditional industries.\n\nIf you're scaling outbound and are not getting results, let us run your outbound, so you can run your business.\n\n📬 [founders@throxy.com](mailto:founders@throxy.com) | 🌐 [throxy.com](https://throxy.com/?utm_source=ycombinator&utm_medium=post&utm_campaign=yc_launch&utm_id=yc_launch)\n\n![uploaded image](/media/?type=post&id=90134&key=user_uploads/1293483/b5efeb76-2c0b-48ef-91c4-eeb1b4939e5f)\n\n",
        "url": "https://www.ycombinator.com/launches/NRm-throxy-book-meetings-without-the-busywork",
        "votes": 200,
        "created_at": "2025-05-06T15:16:43.124Z"
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    "id": 30485,
    "name": "Anana",
    "slug": "anana",
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    "website": "https://getanana.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Anana is an AI workspace for hospitality commercial teams. It connects bookings, calls, chats, emails, market intelligence, and hotel knowledge so teams can see demand earlier, understand what is driving it, and take action in the tools they already use. Built for hotel groups and management companies, Anana gives revenue, sales, marketing, and operations teams one place to work from the same commercial context.",
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    "industry": "B2B",
    "subindustry": "B2B",
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    "year_founded": 2025,
    "city": "New York City",
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        "full_name": "Ricardo Pantaleon",
        "title": "Founder/CEO",
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      {
        "user_id": 2131921,
        "full_name": "Alexandros Zisimidis",
        "title": "Founder",
        "founder_bio": "Building Anana",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexandros-zisimidis-a95592149",
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    "launches": [
      {
        "id": 115844,
        "title": "Anana: AI Workspace for Hospitality Commercial Teams",
        "tagline": "Use the demand signals inside of guest interactions to drive more direct bookings.",
        "body": "**TL;DR**\\\nHotels rarely see what guests wanted before they booked or why they didn't book at all. Anana captures the demand signals buried inside calls, chats, and emails, completing the commercial picture with the intent and friction that transaction data misses.\\\n\\\n<https://youtu.be/OxO4FR-M7lI>\n\n## Problem\n\nHotels are good at measuring outcomes: bookings, revenue, channel mix, and occupancy.\n\nBut the signals that explain those outcomes are buried across thousands of guest interactions. A family asks about connecting rooms and books elsewhere. Early check-in questions suddenly double. A repeat guest mentions an anniversary.\n\nAt scale, these are commercial signals. They reveal where direct demand is breaking down, what guests repeatedly want, and where hotels can personalize, convert, or win guests back.\n\nMost hotels have no practical way to analyze this information at scale, so the insights disappear and their dependence on third-party distribution continues.\n\n## Solution\n\nAnana turns these signals into a commercial intelligence layer that hotels can analyze alongside booking and operational data.\n\nCommercial teams can see where direct demand is being lost, which guest needs and segments are emerging, and what is driving conversion. Anana then reuses that intelligence across workflows—from improving marketing and the direct booking experience to identifying revenue opportunities and personalizing a guest’s stay.\n\nEvery guest interaction becomes an input into the next commercial decision.\n\n## Our ask\n\nWe're looking to meet hotel owners, operators, and commercial leaders at multi-property hotel groups—particularly teams responsible for revenue, marketing, distribution, reservations, or commercial strategy.\\\n\\\nWant to see Anana in action? Book a demo [here](https://cal.com/ricardo.pantaleon/30min?overlayCalendar=true).\n\nThanks,\\\nRicardo and Alexandros\\\n\\\n[https://getanana.com](https://getanana.com/)\\\n\\\nContact: [ricardo@getanana.com](mailto:ricardo@getanana.com) or (917) 355-5643",
        "url": "https://www.ycombinator.com/launches/U8S-anana-ai-workspace-for-hospitality-commercial-teams",
        "votes": 55,
        "created_at": "2026-09-17T17:08:38.633Z"
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    "name": "IRBC",
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    "all_locations": "New York City, NY, USA",
    "long_description": "IRBC is a financial technology company building an AI-native financial institution for global businesses and their AI agents. We believe stablecoins are to finance what AI is to software. IRBC enables businesses across 160 countries to bank, earn yield, spend with Visa credit cards, make instant global payments, and process payments like a local. All powered by programmable money and accessible through chat interfaces and a CLI.",
    "one_liner": "AI-native financial institution for global businesses + agents.",
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    "subindustry": "Fintech -> Banking and Exchange",
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      "America / Canada"
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    "city": "New York City",
    "country": "US",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 1617789,
        "full_name": "Courtne Marland",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at IRBC. Background in GTM engineering, SMMA, and software. Published 4 apps on the App store. 2x previous business exists. BSc Economics and Mathematical Sciences. Lived in South Africa, Dubai, London and Sydney.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/courtnemarland/",
        "x_url": "https://x.com/courtnemarland",
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      },
      {
        "user_id": 2368778,
        "full_name": "Henry Kwon",
        "title": "Founder/CTO",
        "founder_bio": "Building IRBC. US Congressional App Challenge 25 for '25. HackMIT & HackHarvard awards winner.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/taeksoo-kwon/",
        "x_url": "https://x.com/henrykwon05",
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    "jobs": [],
    "news": [
      {
        "title": "Video Calling Tool Lyra Raised $6 Million From YC and 468 Capital - Business Insider",
        "url": "https://www.businessinsider.com/video-call-tool-lyra-pitch-deck-y-combinator-seed-round-2025-7",
        "date": "Jul 24, 2025"
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      {
        "id": 94508,
        "title": "Lyra: The final meeting platform",
        "tagline": "Work with AI and your team live on docs, no screenshare required. Meetings finish with outcomes, not notes.",
        "body": "Hey YC community 👋\n\nWe’re excited to share Lyra, the final meeting platform.\n\nAI notetakers clutter meetings. Multiple tabs separate knowledge.\n\nLyra brings meetings and work together in one clean workspace.\n\nYou can work on docs with AI and your team live, no screenshare required. Create follow-ups and action items as you talk. Ask your meeting questions after the call. Access auto-transcribed calls and instant summaries. Everything stays in one place with full context across every meeting.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/f9014ef2-a26a-4734-bfef-3348b05afca0)\n\nLyra isn’t another notetaker. It’s a meeting platform with AI built in. You can host, record, transcribe, and collaborate all in one tab. The AI sits alongside your team to help you work during and after the call, instead of adding another window or attendee.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/9a37d1c6-2b08-45dd-a76e-b4556a8615da)\n\nEach meeting becomes a shared workspace where conversations, notes, and tasks connect automatically. The AI captures what matters, answers your questions, and keeps knowledge flowing between teammates. Nothing gets lost after the call.\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/d559b1e5-5323-420c-88f8-580655f35b47)\n\n**For sales teams:**\n\n• Less admin, faster deals\n\n• Action items captured automatically\n\n• Ramp-up time halves as new reps learn from real calls\n\n**For customer success:**\n\n• Sales promises carry forward automatically\n\n• Next steps tracked in real time\n\n• New hires ramp faster with full account context\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/dc7c9a8d-e4e9-43b7-a211-8d0241bb126a)\n\nAI changed how we write and create. Lyra is what happens when that same intelligence is built directly into your meeting platform. No switching tabs, no juggling apps - just one place where you talk, collaborate, and finish with progress.\n\nEveryone who signs up gets 1,000 free minutes to start (enough for 30+ meetings) and an invite to a one-on-one onboarding session so we can learn from your experience and make Lyra even better.\n\nMeetings finish with outcomes, not notes.\n\nhttps://www.youtube.com/watch?v=fHAB1ycCBDc\n\nTry Lyra and see the difference → https://www.producthunt.com/products/lyra-7?launch=lyra-7\n\n![uploaded image](/media/?type=post&id=94508&key=user_uploads/1617789/a0d9c7a5-dbfb-49ff-8d91-5341bd54a40c)\n\n",
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        "votes": 9,
        "created_at": "2025-10-10T14:49:40.530Z"
      },
      {
        "id": 90304,
        "title": "Lyra: The AI-Native Zoom For Revenue Teams",
        "tagline": "Sales hasn't changed in decades but buyer expectations have. We're fixing it.",
        "body": "Hey everyone 👋— we’re [Courtne](https://www.linkedin.com/in/courtnemarland/) and [Henry](https://www.linkedin.com/in/taeksoo-kwon/) and we’re building [Lyra](https://lyra.so/).\n\nhttps://youtu.be/KGiAZO7D60A\n\n# **❌ The Problem** \n\nEvery revenue team — whether at SMBs or enterprises knows these pains:\n\n* Spending hours manually personalizing docs and followup emails\n* Zero visibility into how engaged buyers are and what decision makers actually think\n* Champions that drag their feet on or just do a poor job at conveying your solution\n* Long sales cycles with long back and forth email threads\n* Trying to be competitive with a buying experience that sucks\n* Long ramp up periods spent studying content only to miss out on the latest material that customers actually care about\n\n**We believe sales is inherently human — AEs aren’t going anywhere, we 100x their efficiency and eliminate anything that isn’t talking to customers.**\n\n# **✅ Why Lyra Is Winning** \n\n**See our platform in action:**\n\nhttps://youtu.be/Gb0Gfi5Q-z0\n\nAlready, over 150 hours of sales calls are hosted on our platform each week. Metrics don’t lie - buyers rave about their experience, close rates go up and sales cycle lengths fall more than 34%. \n\nWe built our own meeting infrastructure with an AI agent at its core to deliver personalization at scale and a sales copilot in the room 24/7.  \n\n# **👋 The Team**\n\n**Courtne (CEO):** Published his first app at 13, has taken over 1,000 hours of sales calls and closed $50M in enterprise pipeline. BSc Applied Mathematics and Economics. \n\n**Henry (CTO)** HackMIT winner, early engineer at a few YC companies and brings AI technical expertise to the team. CS at UC Irvine. \n\n# **🚀 Run Your Next Sales Call On Lyra**\n\nWe're live with paying customers and seeking partners serious about revenue growth.\n\nIf you're interested in seeing what Lyra can do for your quota this month, we’d love to talk.\n\nContact us at [courtne@lyra.so](mailto:courtne@lyra.so)\n\n![uploaded image](/media/?type=post&id=90304&key=user_uploads/1617789/ed782300-fdce-4aef-9ff6-8cee71faa15f)\n\n",
        "url": "https://www.ycombinator.com/launches/NUW-lyra-the-ai-native-zoom-for-revenue-teams",
        "votes": 100,
        "created_at": "2025-05-12T19:41:01.266Z"
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    "id": 30488,
    "name": "Theta",
    "slug": "theta",
    "former_names": [
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Rayan Garg",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder @ Theta",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rayan-garg/",
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        "full_name": "Tanmay Sharma",
        "title": "Founder/CPO",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tanmayxsharma/",
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        "user_id": 1962783,
        "full_name": "Gurvir Singh",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Theta",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gurvir-s/",
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        "id": 90230,
        "title": "Theta: Self-Learning for AI Agents",
        "tagline": "An Intelligent Memory Layer for Real-time Learning",
        "body": "### **TL;DR**\n\nTheta is building self-learning and real-time adaptation for AI agents.\n\nWe’re starting with an intelligent memory layer so agents can remember and learn from previous interactions. With a simple four-line addition to your existing code, our memory layer uses real-time learning to analyze every run for mistakes and optimizations. The relevant insights are then passed on to your agent during future runs. \n\nWe’ve already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken. If you’re building AI agents where reliability and speed are priorities, book a meeting [here](https://calendly.com/d/cndj-84h-9qz) or contact us at [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai).\n\n\\\nhttps://youtu.be/TRNWfhyUI4E\n\n### **The Current Approach**\n\nAgents struggle to adapt to complex, real-world workflows. Workflows are dynamic, but agents remain static.\n\n* They get stuck in loops, repeating mistakes and requiring constant human guidance in the right direction. Your prompts get longer and longer as you try to hard-code solutions.\n* Even when your agent successfully completes a task, this long process starts all over again for any future run. Starting a new Cursor chat or Operator session means losing all of the insights and “aha moments” your agent had.\n\nLearning is fundamentally iterative, but agents can’t learn because they have no memory across runs.\n\n### **How Theta Works**\n\nTheta is building the infrastructure for agents to self-learn and adapt in real-time. The first component is an intelligent memory layer that learns from your agent’s previous runs. Just add four lines of code to your agent stack to get started:\n\n* At the end of the current run, Theta generates and embeds an analysis of your agent’s trajectory. It identifies critical steps and assesses overall performance.\n* Before the next run, Theta generates a detailed plan based on the specified task. It gathers relevant insights and optimizations based on previous runs.\n* With real-time learning, the memory layer continues to improve with more runs—meaning your agent gets better and better with zero human intervention.\n\nUsing this memory layer, we were able to improve the accuracy of OpenAI Operator by 43%. With optimized trajectories, Operator also took 7x fewer steps, resulting in better speed and cost.\n\n### **Our Ask**\n\nIf you’re building agents that need to perform dynamic, real-world workflows at the highest accuracy and speed, reach out to [founders@thetasoftware.ai](mailto:founders@thetasoftware.ai) or book some time [here.](https://calendly.com/d/cndj-84h-9qz)\n\n### **Our Team**\n\nRayan has previously done ML research as Head of Product at DeepSilicon. He’s been childhood friends with Tanmay since third grade, who previously built an AI browser and developed browser agents at MultiOn. During Rayan’s freshman year of college, he met Gurvir, who built distributed ML systems at Cornell, focusing on post-training and RL.",
        "url": "https://www.ycombinator.com/launches/NTK-theta-self-learning-for-ai-agents",
        "votes": 48,
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    "long_description": "QualGent is an AI Mobile App Quality Assurance Tester that mimics a real human, helping teams catch bugs and ship faster - without hiring more QA testers. One customer reached #3 in the Education category on the App Store by improving app quality with QualGent.\r\n\r\nMobile bugs hurt: crashes kill ratings, broken checkouts drive churn. QualGent helps teams scale QA effortlessly and avoid Sonos-level disasters.\r\n\r\nThe idea for QualGent was born from the founders’ experience leading engineering teams at Google across Android XR, Stadia, Quick Share, and foldable devices where shipping to billions of users meant constantly facing the painful trade-off between moving fast and maintaining quality. With prior research experience at Nvidia, Maryland, and Berkeley, the team saw a clear opportunity: use AI to scale QA.\r\n\r\nQualGent’s vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end software development.",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/qualgent",
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        "full_name": "Shivam Agrawal",
        "title": "Founder/CEO",
        "founder_bio": "CEO at QualGent, ex-Googler in AI, XR and Android\n\nShivam is a customer-obsessed engineer who spent 5 years at Google building AI products, visual interfaces, and frameworks. He led Android XR’s 3D system UI, shipping it in one-fifth the time it took Apple to launch VisionOS, and built the team’s most-used tool - a C++ simulator that 10x-ed developer velocity. Recognized as the fastest executor on the team, he left to fix the biggest bottleneck he faced firsthand: mobile QA.",
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        "linkedin_url": "https://www.linkedin.com/in/shivam-agrawal",
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        "full_name": "Aaron Yu",
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        "experience": "Any (new grads ok)",
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      {
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        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/wgkKIpV-founding-gtm-lead",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 112877,
        "title": "Founding Mobile Engineer, Go-to-Market",
        "url": "https://www.ycombinator.com/companies/qualgent/jobs/gfKTJsx-founding-mobile-engineer-go-to-market",
        "location": "New York, NY, US / San Francisco, CA, US / Remote (New York, NY, US; San Francisco, CA, US)",
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        "role": "Engineering",
        "role_type": "iOS",
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      {
        "id": 95907,
        "title": "QualGent V3: A fully capable, self-healing agentic mobile QA platform",
        "tagline": "The wait is over. Unleash your AI mobile QA workforce now.",
        "body": "We just dropped the biggest update in our history, and we’re opening the gates. We didn’t just build a smarter brain; we built the entire nervous system. QualGent V3 is now a fully capable, self-healing agentic mobile QA platform that integrates directly into your app development and release lifecycle.\\\n\\\nhttps://youtu.be/A6DUE6C20Mw?si=GEW13qMS49jN_s8G\n\n**The V3 upgrades:**\n\n🚀 **Instant Self-Serve:** No waitlists. Sign up, upload your app, write tests in plain English and run 1000s of parallel tests _today_. \n\n⚡ **Parallel Cloud Scale:** Run your entire regression suite on thousands of real devices and emulators concurrently. What used to take your QA team 3 days now takes your AI workforce 30 minutes.\n\n**🔗 Deep Workflow Integration**\n\n* Native integrations for **GitHub CI/CD**, **Slack**, and **Linear**. Bugs go straight to your issue tracker; results go straight to your team.\n* **Developer APIs:** Complete control. Customize your automation workflow for uploads, triggers, and reporting via our new API.\n\n📱 **Total Coverage**\n\n* **Landscape & Tablets:** We’ve unlocked landscape testing across tablets and mobile browsers. Any device. Any orientation.\n* **Multi-Account Magic:** New **Credential Management** handles login rotations seamlessly for multi-user testing.\n\n🔓 **Enterprise Control**\n\n* **Smart Dashboard:** Track every test by **app build**. See exactly which commit caused the regression.\n* **Bulk Runs:** Use **Category Tagging** to trigger specific suites (e.g., \"Smoke,\" \"Checkout,\" \"Payments\") instantly.\n\n🧠 **Self-Learning & Self-Generating**\n\n* **Agentic memory:** Our AI agents don't just execute; they now learn. With memory layers, v3 remembers past interactions, learning from every bug and successful flow to get smarter with every run.\n* **AI Test Creation Agent**: Don't just automate execution; automate creation. Our agent writes the test cases for you based on the context it learns about your app.\n\nWith QualGent V3, we’ve moved beyond testing automation, this is testing orchestration. Legacy QA automation is technical debt. QualGent V3 is technical leverage. Stop testing manually and maintaining brittle test scripts. Start commanding an autonomous AI QA workforce.\n\n**Deploy your AI workforce now:** https://qualgent.link/qualgent-ai \n\n![uploaded image](/media/?type=post&id=95907&key=user_uploads/2593639/022cc71f-5e30-464c-8822-76f8a506b0b7)\n\n",
        "url": "https://www.ycombinator.com/launches/Owt-qualgent-v3-a-fully-capable-self-healing-agentic-mobile-qa-platform",
        "votes": 121,
        "created_at": "2025-12-01T23:33:14.419Z"
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      {
        "id": 90415,
        "title": "QualGent: AI Quality Assurance agent for mobile software testing",
        "tagline": "Test Mobile Apps with Natural Language on Real Devices in the Cloud",
        "body": "Today, we’re launching QualGent, an AI Quality Assurance agent for mobile that helps companies catch more bugs and ship much faster without hiring more human QA testers. One customer hit **#3 in the App Store’s Education category** by improving their app quality and release process with QualGent.\n\nhttps://youtu.be/k1eSm6QvO9c\n\n**🐛 The Problem: Mobile QA is a Bottleneck**\n\nShipping a great mobile app is hard. Even top teams struggle with flaky end-to-end tests, missed edge cases, and regressions that slip past CI.\n\nScript-based automation tools like Playwright, Selenium, Appium or Espresso break often. Visual diff tools miss functional bugs. And in-house human QA teams can’t scale with today’s release cycles.\n\nCTOs, VPs, Directors of Eng, and QA leads at fast-growing companies are asking:\n\n> Why does our test suite say green when our users say broken?\n\n**🛠️ Why We Built This: From frustrated mobile engineers to reinventing QA**\n\nWe’ve been mobile engineers at Google who shipped products like Android XR, Quick Share, Stadia, and foldable phones. We’ve seen firsthand how slow, flaky QA can derail a great product. We built QualGent so teams can catch real bugs faster, ship with confidence, and stop wasting time maintaining fragile tests.\n\nWe're grateful to be part of the YC community and excited to bring modern AI to a painful, expensive problem that slows down almost every mobile team we’ve met.\n\n**⚙️ The Solution: QualGent - Your AI QA Copilot**\n\nQualGent uses computer-use LLM agents and vision models to mimic a real human tester:\n\n1. You describe a test in natural language (“Sign up, go to settings, change theme”)\n2. Our AI agent runs that test on real iOS and Android devices in the cloud\n3. It taps, swipes, scrolls, types, speaks, listens - just like a human\n4. And gives you video, logs, and test reports for every step\n\nNo more rigid scripting. No more emulator-only limits. No more test maintenance hell.\n\nOur AI agent self-heals, handles dynamic pop-up content, navigates unexpected UI changes, and catches bugs like a pro.\n\n**🧠 Our Vision: Complete the AI coding-testing loop to ship quality products 100x faster**\n\nOur vision is to close the loop on software creation. As AI enables engineers to code 100x faster, QualGent eliminates the next bottleneck—software verification—unlocking truly scalable, end-to-end product-driven software development.\n\n**📢 Try it and Help Us Spread the Word: Let’s reimagine mobile QA together**\n\n1. Book a demo with us and see QualGent in action on your app!\n2. Know someone leading mobile engineering? We’d love a warm intro.\n\nWe rethought what QA could be with AI, you’ll want to test this. Let’s make releasing great mobile apps a joy again.\n\nhttps://qualgent.ai\n\n![uploaded image](/media/?type=post&id=90415&key=user_uploads/297983/ad94ce99-b2ca-43c6-91b8-0131fbe39fc2)\n\n",
        "url": "https://www.ycombinator.com/launches/NWJ-qualgent-ai-quality-assurance-agent-for-mobile-software-testing",
        "votes": 108,
        "created_at": "2025-05-14T21:59:31.952Z"
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    "website": "https://alkali.engineering",
    "all_locations": "Houston, TX, USA",
    "long_description": "Alkali is building the next generation of estimation tools for construction.",
    "one_liner": "The smarter way to estimate steel.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747069774,
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/alkali",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/alkali.json",
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    "city": "Houston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alkali-engineering/",
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      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Emmett Goodman",
        "title": "Founder/CEO",
        "founder_bio": "Background in Chemical Engineering and GenAI. Building the first AI Chemical Process Engineer 🤖🧪",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/emmett-goodman/",
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        "user_id": 2448880,
        "full_name": "Victor Miller",
        "title": "Founder/CTO",
        "founder_bio": "I am a chemical engineer, laboratory scientist, and data scientist, all by training and profession. I blend data-driven methods with chemical techniques to get results. I am currently the co-founder of Alkali Engineering, working to build the world's first AI process engineer.",
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        "id": 99714,
        "title": "Founding Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/alkali/jobs/3iTB9w5-founding-applied-ai-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $220K",
        "equity_range": "0.75% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 90604,
        "title": "Alkali – The AI Copilot for Chemical Process Design",
        "tagline": "Build chemical projects faster.",
        "body": "**TL;DR:** Scaling a chemical process from lab-scale result to commercial plant can take years and hundreds of millions of dollars. Alkali’s Engineering Copilot (ProcessMate) uses AI to catch process design errors and automate equipment sourcing – keeping your projects on time and on budget.\n\n[Demo!](https://www.youtube.com/watch?v=JRsBGalf-7k)\n\n**The Problem:**\n\nAs chemical engineers, we’ve seen how design errors and procurement delays derail project schedules and budgets:\n\n* **Engineering Rework:** Projects often undergo 10+ design iterations due to incorrect equipment selection, overlooked safety requirements, or careless design errors.\n* **Procurement Delays:** Complex part sourcing, manual quote/response workflows, and relentless vendor follow-up (chasing confirmations, shipments, exceptions) can delay projects by months.\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/38799444-2d92-431e-9e5c-807e9fe1bbbb)\n\n**Our Solution:**\n\n[Alkali Engineering](https://alkali.engineering/)’s ProcessMate platform streamlines error checking and procurement. Free engineers to do creative work, get projects built on time!\n\n1. **AI-Driven Design Checks** – Like an engineering spell-check for your schematics, AI identifies design errors before it’s too late.\n2. **Smart Equipment Selection** – Cross reference your engineering designs and vendor catalogues to help you get the right parts, faster.\n3. **Version Control & Chat Interface** – Interpretable version control for engineering schematics. Version control is no longer just for software engineers!\n\n![uploaded image](/media/?type=post&id=90604&key=user_uploads/2744343/c4d82b46-885d-4547-b33e-ede8406b033f)\n\n**The Team:**\n\n* [Emmett Goodman](https://www.linkedin.com/in/emmett-goodman/) (PhD, Stanford – ex-AWS GenAI Labs): Led delivery of GenAI solutions for AWS’s flagship customers, showcasing “art of the possible” solutions.\n* [Victor Miller](https://www.linkedin.com/in/victor-v-a514248b/) (PhD, Berkeley – ex-Shell Engineer): Led 8-figure chemical engineering infrastructure projects.\n\n**Our Ask:**\n\nWe’re looking to talk to:\n\n* Project managers fighting schedule overruns\n* Industrial vendors wanting faster RFP/RFQ cycles\n* EPC/Engineering firms interested in piloting AI-driven design validation and procurement\n\n👇 Know someone who fits? Email us at [founders@alkali-eng.com](mailto:founders@alkali-eng.com) !",
        "url": "https://www.ycombinator.com/launches/NZM-alkali-the-ai-copilot-for-chemical-process-design",
        "votes": 53,
        "created_at": "2025-05-21T21:21:07.352Z"
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    "website": "https://vesence.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Vesence is a computer built for agents doing 99% of the work. \r\n\r\nDevice-agnostic and model-agnostic, it brings your inbox, files, browser, and tools into one workspace. Run Claude Code and Codex, direct agents in parallel, and stay in control from any device.",
    "one_liner": "The Agent-Native Computer",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747133222,
    "tags": [
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      "B2B",
      "Legal",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/vesence",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/vesence.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vesence",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
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        "user_id": 2572575,
        "full_name": "Henrik Hansson",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder of Vesence. Cursor for Lawyers.\n\nThree facts:\n- Studied at Sweden's top two universities in parallel. Physics and economics at 200 percent pace.\n- Amassed tens of millions of streams as a music producer. Still getting around $3K in royalties per month to this day.\n- Worked together with Anton, founder of Lovable, at Depict for 3 years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/henrik-hansson-1571a8187/",
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        "full_name": "Ludvig Swanstrom",
        "title": "Founder",
        "founder_bio": "Co-Founder at Vesence. YC-Backed. Forbes 30u30. Former Pro-Basketball Player.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ludvig-swanstr%C3%B6m-73ab49114/",
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        "id": 110539,
        "title": "Founding BDR (Business Development Representative)",
        "url": "https://www.ycombinator.com/companies/vesence/jobs/YTaHNCr-founding-bdr-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K",
        "equity_range": "0.05% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
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        "id": 110543,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/vesence/jobs/4sRUhpe-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "title": "Vesence Raises $9M Seed Round | Vesence",
        "url": "https://www.vesence.com/blog/seed-round-announcement",
        "date": "Oct 28, 2025"
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      {
        "id": 90570,
        "title": "Vesence: Cursor for Transactional Lawyers",
        "tagline": "AI Agents inside of Microsoft Office for Transactional Law Firms. ",
        "body": "**TL;DR:** We are building Cursor for Lawyers. We turn Microsoft Word into an IDE for contracts, and build agents operating in the background. Our initial focus is on Transactional Law Firms, and agents built for quality-assuring projects and documents according to the firm’s best practice.\n\nWe have already rolled out Vesence firm-wide at our first enterprise client with a lot of love from both associates and partners.\n\nKnow any Transactional Lawyers? Let’s connect: [founders@vesence.com](mailto:founders@vesence.com).\n\nhttps://www.youtube.com/watch?v=Nr1Q7S6A84I\n\n**Problem:**\n\nImagine programming in Apple Notes.\n\nNo linting, no cursor, you are on your own.\n\nThat is how it is for many lawyers to draft and review contracts in Microsoft Word.\n\nAt law firms, the stakes are extremely high. Every mistake can hurt your reputation badly. Associates need to deliver under time pressure, partners demand extreme attention to detail, and your clients will not accept any blunders.\n\nGiven the attention to detail needed in the work, working on complex projects under constant time pressure, we are starting with quality-assuring agents (i.e. a linting system for contracts).\n\nThe consequences of shipping \"bugs\" in a legal document can be catastrophic, but even the best firm still rely on manual review to catch mistakes.\n\n**What We’ve Built**\n\nVesence offers quality assurance AI agents available straight in Microsoft Word to handle tasks such as:\n\n* **Apply firm-wide Standards**: Apply writing style guides and best practices consistently across all practice groups in the firm\n* **Ensure project-level alignment**: Flag inconsistencies across multiple deal documents, for example auto-checking the SPA against the original term sheet\n* **Verify document consistency**: Catch defined term slips, bad cross-references, logical gaps, and miscalculations within a single document\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/99f83828-eeb2-4d36-9c69-e8401e4ab7b5)\n\n**Why This Matters**\n\nLet’s hear it from our users:\n\n“You saved me 4 hours last night.”\n\n“I’m never sending out a document/project again unless I’ve used Vesence.”\n\n“This is how AI should feel like. Intuitive and extremely helpful.”\n\n**Associates** love Vesence as they can produce exceptional internal deliveries under less pressure to seniors and partners. **Partners** love the tool as their teams hand them better quality work and follows the firm’s best practices.\n\nThe interest we have seen from transactional law firms is great, but we also received inbound from other professional service providers that care deeply about quality and the reputation of their firms, including Investment Banks and Management Consultants.\n\nBasically, the holy trinity of where the ‘pls fix’ culture thrives.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=90570&key=user_uploads/2486274/e3b7f4e8-f03a-448d-9af8-fabe96a9feea)\n\nThe founders **Henrik Hansson** and **Ludvig Swanström** have known each other for 8 years, and worked together at the YC startup Depict S20 (founded by the CEO and Founder of Lovable).\n\nTo build Vesence, we spent a couple of months living at a law firm, to refine the product and user experience alongside lawyers.\n\nWe have already rolled out the product firm-wide at a law firm.\n\n**Our Ask**\n\nKnow any partners, innovation managers, or associates at transactional law firms? Please connect us!\n\nHave you ever worked at a law firm, management consultancy firm, or an investment bank and faced brutal pls fix tasks? Please share them with us!\n\nReach out to us at: [founders@vesence.com](mailto:founders@vesence.com)",
        "url": "https://www.ycombinator.com/launches/NYo-vesence-cursor-for-transactional-lawyers",
        "votes": 32,
        "created_at": "2025-05-20T20:03:01.272Z"
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    "name": "Eloquent AI",
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    "website": "https://www.eloquentai.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We automate complex, regulated operations in financial services—no APIs, no engineering required.\r\nWe hit $500K ARR in just four weeks because customers deploy instantly.\r\nOur AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.\r\n",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1743955975,
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    "url": "https://www.ycombinator.com/companies/eloquent-ai",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/eloquentai/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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        "title": "Eloquent AI: The AI Operator for Financial Services",
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        "body": "**🎯TL;DR**\n\nEloquent AI is the first AI Operator built specifically for financial services to automate complex, regulated customer service operations beyond frontline support. \n\nOur AI Operator learns to securely navigate your existing systems simply by observing your standard operating procedures (SOPs)—automating up to 96% of tasks without any engineering effort.\n\n[Introducing Eloquent AI](https://youtu.be/vsPg2VFtSt4)\n\n**🙏Our Ask**\n\n**If you’re running a fintech or insurtech and looking to automate customer service operations, we’d love to help.** Just reach out at [founders@eloquentai.co](mailto:founders@eloquentai.co).\n\n**❌ The Problem**\n\nFinancial institutions want AI-driven efficiency, yet adoption remains below 1%. Why? Generic AI agents fail in regulated environments due to: \n\n↳ Constant hallucinations \n\n↳ Compliance risks\n\n↳ Heavy engineering requirements stalling action automation\n\nFinancial services require AI built specifically for regulated workflows—seamlessly integrated into legacy systems, delivering reliable actions, not dead-end conversations.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/abf0478b-90df-4099-ada2-236b3510cb84)\n\n**✅ Eloquent AI: End-to-end customer support automation. Zero APIs required.**\n\nUnlike  generic AI agents, Eloquent AI goes beyond frontline support to fully automate customer support end-to-end. Instead of relying on cumbersome API integrations that require long dev cycles, our AI Operator learns directly from observing your SOPs and team’s actions, securely navigating your internal systems exactly as human agents do.\n\n**Automate complex, multi-party workflows**—unfreeze accounts, handle AML/KYC checks, adjust repayments, or update claim statuses without escalations.\n\n**Deploy rapidly with no internal engineering required**—Eloquent AI learns securely by observing your team through multimodal technology, enabling our operator to reason and interact across both language and visual inputs.\n\n**Ensure compliance effortlessly** with our proprietary LLM, Oratio, trained specifically on your financial regulations for secure, auditable interactions.\n\n**Integrate seamlessly**—connect AI directly to your CRM, databases, and support platforms for chat, voice and email support.\n\n**Confidently resolve complex queries**, ensure accurate routing, and eliminate hallucinations through continuous simulation and rigorous evaluation.\n\n**🚀 The Impact**\n\nTrusted by leading financial institutions, Eloquent AI drives immediate operational efficiency:\n\n* **24/7 Coverage:** Consistent, high-quality customer experience across all channels.\n* **Up to 96% Automation**: Scalable automation handling nearly all regulated customer requests.\n* **4x Cost Reduction:** Significant operational savings, achievable in weeks.\n\n![uploaded image](/media/?type=post&id=90355&key=user_uploads/2611648/9e7d65b6-d1d6-4728-895e-c7d72e1444f7)\n\n## **See What Eloquent AI Can Do For You**\n\nTired of wrestling with generic AI and manual workflows? Eloquent AI gives you fully automated, compliant customer operations—with zero coding required.\n\n📅 Book your demo: https://calendly.com/tugce-eloquentai/demo\n\n📬Reach us directly: [founders@eloquentai.co](mailto:founders@eloquentai.co)\n\n**Founders**\n\nEloquent AI is founded by [Tugce Bulut](https://www.linkedin.com/in/tugcebulut/), a second-time entrepreneur with deep expertise deploying large-scale AI solutions for Fortune 500 enterprises, and [Dr. Aldo Lipani](https://www.linkedin.com/in/aldo-lipani/), a Machine Learning professor, who also runs a research lab specializing in multimodal LLMs.",
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        "title": "\n  Adentris Expands AI Platform with Five New Modules Covering the Full Revenue Integrity and Compliance Workflow\n  \n",
        "url": "https://www.einpresswire.com/article/913896386/adentris-expands-ai-platform-with-five-new-modules-covering-the-full-revenue-integrity-and-compliance-workflow",
        "date": "May 20, 2026"
      },
      {
        "title": "\n  Adentris Selected for Creative Destruction Lab Computational Health Program to Scale AI-Driven Compliance in Healthcare\n  \n",
        "url": "https://www.einpresswire.com/article/860152482/adentris-selected-for-creative-destruction-lab-computational-health-program-to-scale-ai-driven-compliance-in-healthcare",
        "date": "Oct 21, 2025"
      },
      {
        "title": "\n  WorkDone Health Rebrands as Adentris and Launches Acute Care Solution for Real-Time Quality and Compliance Monitoring\n  \n",
        "url": "https://www.einpresswire.com/article/850341659/workdone-health-rebrands-as-adentris-and-launches-acute-care-solution-for-real-time-quality-and-compliance-monitoring",
        "date": "Sep 18, 2025"
      }
    ],
    "launches": [
      {
        "id": 90201,
        "title": "Adentris – AI compliance autopilot 👨‍⚕️ for hospitals and clinics 🏥",
        "tagline": "Adentris helps hospitals avoid denials, audits, and fines by catching and fixing documentation errors in real time.",
        "body": "Hi! We’re [Dmitry](https://www.linkedin.com/in/dmitrykarpov/), [Sergey](https://www.linkedin.com/in/yudovskiy/), and [Alex](https://www.linkedin.com/in/odinalex/) — co-founders of [Adentris](https://www.adentris.com/).\n\n**TL;DR:**\n\nEvery year, **250 million insurance claims — worth billions of dollars — are denied due to documentation errors**. Many are never recovered. We connect directly to hospital EHRs, monitor clinical staff activity logs in real time, and use AI agents to detect and fix compliance issues before they become risks. **Since the beginning of YC, we’ve reached $54k ARR** and have a growing number of commercial pilots with hospitals and clinics across the U.S. and PoCs with healthcare enterprises.\n\nhttps://www.youtube.com/watch?v=PrcEY8WgmSk\n\n**Problem:**\n\nOne small documentation mistake — like recording a medication time incorrectly — can destroy a family’s finances.\n\nThese errors are often made by exhausted clinicians after 12-hour shifts and are caught by automated insurance systems that instantly deny the claim.\n\n**Hospitals don’t discover the problem until it's too late** — after the claim is denied, the audit triggered, or the reputation damaged.\n\nDocumentation errors are the invisible threat in modern healthcare. They’re not caused by negligence, but by broken systems: cluttered interfaces, overworked staff, and legacy EHRs that make it easy to click the wrong time, forget a discharge note, or miss a required signature.\n\n**And it’s not just claims** — these small errors lead to failed audits, regulatory fines, delayed discharges, and increased burnout.\n\nHospitals end up with compliance teams that are reactive — chasing mistakes days or weeks after they happened, often without resolution. The cost isn’t just money. It’s morale, trust, and patient safety.\n\n**Solution:**\n\nAdentris is an AI compliance autopilot that prevents small documentation errors from becoming costly disasters in real time.\n\nWe integrate directly with hospital EHRs, monitor clinical activity in real time, and use AI agents to detect and fix issues — like missed discharge notes or wrong medication times — before they trigger claim denials or audits.\n\nWhen a problem is found, our AI opens a quick conversation with the responsible staff member to confirm and correct it immediately.\n\n**We don’t just alert**. We resolve — and help hospitals run smoother, reduce pressure on teams, and recover revenue that would otherwise be lost.\n\n**What Experts Are Saying:**\n\n\"Adentris’s proactive approach is a game‑changer in reducing preventable errors and enabling real‑time accountability in care delivery.”\n\n— [Joel N.H. Stern, PhD](https://www.linkedin.com/in/joel-n-h-stern-07a4342/)\\\nProfessor of Neurology & Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell\n\n**Team:**\n\n[Dmitry](https://www.linkedin.com/in/dmitrykarpov/) (CEO) and [Sergey](https://www.linkedin.com/in/yudovskiy/) (CPO) are second-time YC founders with a strong track record in building B2B enterprise products and go-to-market channels. Sergey comes from a full medical family and has deep personal ties to the problems we're solving in healthcare. [Alex](https://www.linkedin.com/in/odinalex/), (CTO), is a seasoned engineer who built apps used by 25M+ people worldwide and led the development of a full AI agent architecture at his previous multimillion-dollar startup.\n\n**Asks:**\n\nWe're actively looking to connect with:\n\n* **Hospital executives and clinic owners** who want to stop losing revenue to preventable compliance errors and team burnout \n* **Providers' CFOs and compliance leaders** who are tired of fighting with clinical staff over documentation and want a system that just works\n* **Medical institution advisors and operators** who care about transforming broken workflows\n* **Reporters and storytellers** covering the untold side of healthcare — the back office chaos that leads to financial disaster\n\nIf you're building, reporting on, or fighting to fix this problem — DM us, email us at [founders@wrkdn.com](mailto:founders@wrkdn.com), or grab 15 minutes with us here [Book a call](https://calendly.com/d/cnpv-x29-nzc/workdone-demo).\n\nLet’s save healthcare from the inside out.",
        "url": "https://www.ycombinator.com/launches/NSr-adentris-ai-compliance-autopilot-for-hospitals-and-clinics",
        "votes": 345,
        "created_at": "2025-05-08T14:04:33.170Z"
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    "id": 30533,
    "name": "Pelica",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pelica helps risk-bearing healthcare organizations improve quality performance, close care gaps, and lower administrative cost using specialized AI agents. Built for health plans, IPAs, MSOs, ACOs, and risk-bearing medical groups, Pelica unifies claims, EHR, pharmacy, lab, and ADT data into one live member record, then gives quality, risk adjustment, pharmacy, provider network, and care management teams agents that carry work through to completion. Pelica currently serves more than 350,000 members.",
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    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pelica-health",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1494518,
        "full_name": "Lalit Kundu",
        "title": "Founder/CEO",
        "founder_bio": "building healthcare's AI operating system\n\nPreviously grew to Staff Engineer at Google within 6 years, where I led a 45+ engineer org to deliver $XX-B ARR solutions. Before that, I built core payments infrastructure for Google Pay India.\n\nProgrammer at heart, ACM-ICPC World Finalist and coach for India’s IOI team (8 medals).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lalitkundu",
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      {
        "user_id": 365863,
        "full_name": "Catherine Zhao",
        "title": "Founder/COO",
        "founder_bio": "Building Pelica.\n\nPrev Google APM & SWE (building YouTube, ChromeOS, image & video GenAI infra, enterprise AI agents). Always volunteering in healthcare (clinical research, memory care, medical assistant at a free clinic). And the first job I ever got paid to do was a caricature artist at an amusement park!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cat-catherine-zhao",
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      {
        "id": 103962,
        "title": "Pelica: the AI operating system for value-based care",
        "tagline": "AI agents that capture the risk, close the gaps, and make the calls, so small teams can keep whole populations healthy.",
        "body": "Hey everyone 👋 We’re Lalit and Catherine, co-founders of Pelica Health.\n\n## **TL;DR**\n\nPelica is the AI operating system for value-based care. We pull claims, EHR, pharmacy, lab, and hospital feeds into **one canonical record**, then run AI copilots that read and write to it: risk adjustment, Stars and quality, pharmacy, provider network, and care management, plus an AI data analyst you can ask anything in plain English. The copilots **do the operational work themselves**: capturing HCCs in real time, closing gaps once across every payer, and making outreach calls in the member’s language. HIPAA-compliant, SOC 2 Type II, and RADV-defensible.\n\nWe’re live with a physician-led IPA in New York, one of the largest independent medical groups in the Northeast: **2,500+ hours saved** and higher CMS Star Ratings so far.\n\n▶️ Watch their story: <https://youtu.be/2CGmyif9Yd4>\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/e873acc4-f206-4eca-8617-9bf7f70f3b62)\n\n_An AI agent works one gap end to end: provider office, pharmacy, the member in their language, the payer portal, then a live call. Closed in 3 minutes of staff time._\n\n## **🚩 The problem**\n\nValue-based care pays a medical group or health plan to keep a whole population healthy, and billions in CMS bonuses ride on it. The teams who own those contracts decide whether the org makes money, and they cannot operate:\n\n• Their data lives in 8 to 15 systems. By the time a problem surfaces, the submission window has closed.\n\n• Risk calls a member. Quality calls the same member. The practice calls again, sometimes in a language the member doesn’t speak.\n\n• The best predictive model is worthless if it never reaches the provider.\n\n• The rules keep moving. Hybrid HEDIS is retiring into ECDS volumes many times higher per measure, and the V28 phase-in costs the average MA plan about 3% of RAF.\n\nEvery new gap gets a new point vendor, each with its own portal, data model, and login. These teams do not need another point tool. They need an operating system.\n\n## **🛠️ What we built**\n\nOne canonical record, with an AI workforce next to every team. Six copilots:\n\n• **Risk Adjustment:** real-time HCC capture with trumping logic and RADV-defensible chain of custody on every code.\n\n• **Quality and Stars:** gap closure unified across every payer, with year-round forecasting for the post-hybrid HEDIS world.\n\n• **Pharmacy and Part D:** PDC lift on the three triple-weighted measures that move Stars the most.\n\n• **Provider Network:** auto-built practice agendas that cut meeting prep from 90 minutes to 15.\n\n• **Care Management:** ADT-driven transitions-of-care worklists, with no duplicate calls across teams.\n\n• **AI Data Analyst:** plain-English questions against the record, in place of the BI ticket queue.\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/13a2d9aa-5ac8-4ab4-bf2c-b61fe8bccb56)\n\n_Risk Adjustment: the agent works the EHR and payer portals like a person and captures a defensible HCC._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/cfb57b8c-bf75-43d1-9dc3-d29da891d8e9)\n\n_AI Data Analyst: ask your RAF in plain English, get an answer and a chart in seconds._\n\n![uploaded image](/media/?type=post&id=103962&key=user_uploads/1494518/4bbf9afb-abc0-4221-9e5b-bf4602654e32)\n\n_Provider Network: reps walk in prepped, and the visit is captured into tasks automatically._\n\nIt runs on the systems VBC teams already use: Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, and labs, with SMART-on-FHIR overlays in Epic and Athena. A new source onboards in days, and the copilots start working the day after.\n\n## **📈 Early proof**\n\nThat physician-led IPA went from three uncoordinated calls per member to one outreach, in the right language, that closed three gaps at once. No new headcount. One of their leaders put it simply: “You don’t just get software, you get partners.”\n\n## **👫 Why us**\n\nCatherine and I met at YouTube and have built large-scale systems together since. We saw the same gap from two sides: clinical AI that could not operate, and operations software that could not reason clinically.\n\n• **Catherine** led AI work on Gemini and enterprise agents at Google, did clinical AI research at Stanford School of Medicine, and saw front-line care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n• **Lalit** spent 8 years building software for regulated industries at Google and YouTube, most recently as engineering and ML lead on YouTube Payments, running a 45-person team on products driving $16B+ in revenue. Wharton MBA, ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n## **🙏 Our ask**\n\n• Warm intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n\n• Intros to ACO executive directors running MSSP or REACH.\n\n• If you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at cal.com/pelica/pelica.\n\nFollow us on [LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7475922350316732416/) and [X](https://x.com/cthrnzh/status/2070159740295160294), and learn more at [pelica.com](http://pelica.com).",
        "url": "https://www.ycombinator.com/launches/R2o-pelica-the-ai-operating-system-for-value-based-care",
        "votes": 7,
        "created_at": "2026-06-25T15:23:01.235Z"
      },
      {
        "id": 90407,
        "title": "Pelica - the operating system for value-based care",
        "tagline": "Transform Value Based Care with AI Agents",
        "body": "Hey everyone 👋 we're [Lalit](http://linkedin.com/in/lalitkundu) &amp; [Catherine](http://linkedin.com/in/cat-catherine-zhao), co-founders of [Pelica Health](https://pelica.com).\n\n## TL;DR\n\n**🚀 Pelica is the operating system for value-based care.** One canonical record across claims, EHR, pharmacy, lab, and ADT, with six AI copilots reading and writing to it. Risk adjustment, Stars, pharmacy, network, care management, plus an AI Data Analyst. HIPAA-compliant, RADV-defensible, real-time.\n\nUse Pelica to:\n\n* Capture HCCs in real time, before the submission window closes\n* Close Stars gaps once, across every payer, with no duplicate outreach\n* Lift PDC on the three triple-weighted measures that move Stars more than anything else\n* Replace 8 to 15 point vendors with one shared record\n* Cut per-practice meeting prep from 90 minutes to 15\n\n**VBC teams using Pelica run risk, quality, pharmacy, and care management from one record**. A physician-led IPA in New York went from three uncoordinated calls per member to one outreach in the right language that closed three gaps at once. No new headcount.\n\nIf you run risk-bearing contracts at a health plan, IPA, MSO, ACO, or medical group, email [lalit@pelica.com](mailto:lalit@pelica.com) or book a demo at [cal.com/pelica](https://cal.com/pelica/pelica-demo).\n\n## 🚩 The Problem\n\nVBC teams own the contracts that decide whether the org makes money. They cannot operate. Today:\n\n* Data lives in 12 places. By the time a problem surfaces, the submission window has closed.\n* Risk calls a member. Quality calls the same member. The practice calls again. Sometimes in a language the member doesn't speak.\n* The best predictive model is useless if it never reaches the provider.\n* Hybrid HEDIS is retiring. ECDS volumes run 35 to 75 times higher per measure. The old infra was not built for it.\n* V28 phase-in finishes in 2026. The average MA plan loses roughly 3% of RAF.\n\nPoint vendors keep stacking up. One for retrospective coding. One for HEDIS. One for adherence. One for ADT. Each with its own portal, its own data model, its own login.\n\nVBC teams need more than another point tool. They need an operating system.\n\n## 🛠️ Our Solution\n\nWe built Pelica, an AI operating system for value-based care. Three layers, six copilots, one canonical record.\n\n* **🌐 HIPAA + SOC 2 Type II:** Tenant-isolated, encrypted end-to-end, zero-retention with every LLM provider in use.\n* **🔌 Connects to every system:** Epic, Cerner, Athena, eCW, payer SFTP, PBM feeds, ADT, labs. SMART-on-FHIR overlays in Epic and Athena.\n* **⚡ Live in weeks, not quarters:** A new data source onboards in days. Copilots start working the day after.\n\nWhat Pelica can do:\n\n* **🧾 Risk Adjustment Copilot:** Real-time HCC capture with trumping logic, MAO-004 awareness, and RADV-defensible chain-of-custody on every code.\n* **⭐ Quality &amp; Stars Copilot:** Unified gap closure across every payer, with year-round glide-path forecasting for the post-hybrid HEDIS world.\n* **💊 Pharmacy &amp; Part D Copilot:** PDC lift on the three triple-weighted measures. The 5 points that separate 4-star from 2-star.\n* **🤝 Provider Network Copilot:** Auto-generated practice agendas. Meeting prep from 90 minutes to 15.\n* **🏥 Care Management Copilot:** ADT-driven TOC worklists, 5-day follow-up tracking, no duplicate calls across teams.\n* **📊 AI Data Analyst:** Plain-English questions against the canonical record. Replaces the BI ticket queue.\n\nA Director of Risk Adjustment told us: \"**Our data lives in twelve places. By the time we know there's a problem, the submission window has closed**.\" A Stars Program Manager told us: \"We are solving the same problem five times.\" Same root cause. One shared record fixes both.\n\n## 👫 The Team\n\nCatherine and Lalit met at YouTube and have been building large-scale systems together ever since. They saw the same gap from two sides: clinical AI that could not operate, and operations AI that could not reason clinically.\n\n**Catherine led AI work on Gemini and enterprise AI agents at Google**. She did clinical AI research at Stanford School of Medicine and saw front-line patient care at clinics in California and New Hampshire. BA in Computer Science from Dartmouth.\n\n**Lalit spent 8 years building software for regulated industries at Google and YouTube**. He was Engineering and ML lead on YouTube Payments, running a 45-plus person team in Commerce Billing on products driving $16B+ in revenue. Wharton MBA. ACM-ICPC World Finalist.\n\nBacked by Y Combinator, SurgePoint Capital, Upside Partnership, ISEED Ventures, and Progressive Ventures.\n\n![uploaded image](/media/?type=post&id=90407&key=user_uploads/1494518/dc1935e3-d2b0-4d83-9f63-b5cd8ae73e7b)\n\n## Asks\n\n* Intros to VPs of Risk Adjustment, Stars, Quality, or Pharmacy at MA plans, IPAs, MSOs, or ACOs.\n* Intros to ACO executive directors running MSSP or REACH.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/pelica-health), [X](https://x.com/pelica_health), and learn more at [pelica.com](https://pelica.com).",
        "url": "https://www.ycombinator.com/launches/NWB-pelica-the-operating-system-for-value-based-care",
        "votes": 108,
        "created_at": "2025-05-15T04:56:03.275Z"
      }
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  {
    "id": 30540,
    "name": "Lumari",
    "slug": "lumari",
    "former_names": [
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    "website": "https://www.lumari.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lumari is the world's first AI-powered procurement automation platform purpose-built for direct materials and supply chain execution. \r\n\r\nBacked by Y Combinator, Lumari is a well-funded startup that deploys 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end -- compressing cycle times and giving teams full visibility into active orders, RFQs, and supplier performance.\r\n\r\nFounded by engineers from Google, Tesla, Amazon, and Stripe who have built and scaled supply chain systems serving millions of users. \r\n\r\nBuilt to operate directly on top of existing tools and ERP systems, Lumari helps procurement teams move faster, eliminate operational bottlenecks, and build more resilient supply chains. No rip-and-replace, no supplier onboarding. Lumari handles the manual chase: quote follow-ups, PO confirmations, delivery status updates, and risk escalation.\r\n\r\nLumari helps companies from Fortune 500s to fast-growing startups automate work from sourcing to delivery, streamline supplier communication and order management, and bring full visibility to their procurement operations.\r\n\r\nTo learn more check out https://lumari.ai/",
    "one_liner": "AI Digital Workers for Supply Chain ",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747084472,
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      "Manufacturing",
      "Supply Chain",
      "Operations",
      "AI"
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    "batch": "Spring 2025",
    "status": "Active",
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      "Supply Chain and Logistics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/lumari",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lumari-io",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 1755497,
        "full_name": "Eshani Mehta",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Lumari, re-imagining the future of supply chain. Ex-Stripe engineer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/eshanimehta/",
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      {
        "user_id": 526569,
        "full_name": "Sam Lamba",
        "title": "Founder/CTO",
        "founder_bio": "Building Lumari! Previously at Google, Amazon, Tesla",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samarthlamba",
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    "jobs": [
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        "id": 87969,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.20% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 92320,
        "title": "Former Founders",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 93602,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.25% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 90564,
        "title": "Lumari - AI Digital Workers for Supply Chain",
        "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.",
        "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better",
        "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain",
        "votes": 128,
        "created_at": "2025-05-20T18:06:51.257Z"
      }
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  },
  {
    "id": 30543,
    "name": "Cactus",
    "slug": "oncactus",
    "former_names": [
      "Cravd",
      "Cactus",
      "Cactus AI"
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    "website": "https://oncactus.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "HVAC, plumbing, roofing, and electrical companies spend $3K–$25K every month making the phone ring - then lose 10–20% of those leads to slow response times, missed calls, and zero follow-up. The revenue was already there. It just walked out the back door.\r\n\r\nCactus closes that gap on both sides.\r\n\r\nInbound: Every call answered in under 60 seconds, 24/7 qualified and booked directly into Housecall Pro, Jobber, FieldEdge, or ServiceTitan. No voicemails. No missed jobs.\r\n\r\nOutbound: Warm leads, dormant customers, and unworked estimates get proactively contacted - driving repeat jobs, cross-sells, upsells, and referrals without adding headcount.\r\n\r\nThe result: 20–30% more jobs from the ad budget you're already spending.\r\n\r\nWhat that looks like in practice:\r\n\r\n→ Roofing company, NC | $299K collected in 10 weeks. $1.41M pipeline created. 199× ROI. $48K of that revenue came in after hours — while the office was closed.\r\n\r\n→ Plumbing & HVAC company, UT | $180K confirmed revenue in 4 months. 90× ROI. 58% of captured leads came after hours — jobs that would have gone to voicemail now go straight into the CRM.\r\n\r\n→ General contracting company | Grew from 11 jobs/month to 72 in a single month — 555% growth. $2.09M invoiced. $1.82M collected. Zero new hires.\r\n\r\n→ Roofing & siding company | $228K pipeline in 75 days. 92% of calls converted to hot leads. $804K in net sales during the Cactus period. 49 spam calls filtered automatically — hours of staff time saved.\r\n\r\n→ Commercial signage company | $398K pipeline generated in 10 weeks. 111× ROI on $3,597 invested. Grew from 0% to 30% share of total company pipeline in a single month.\r\n\r\nIf we don't add revenue, we don't stay. That's the only way this works.\r\n\r\nThe $150B home services industry is still running on voicemail and spreadsheets. We're building the system that changes that - one answered call at a time.",
    "one_liner": "All-In-One AI Growth Partner. Built for Trades.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1746571239,
    "tags": [
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      "Home Services",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Cactus was founded by two-time Y Combinator founders Ajith Govind and Avinash Joshi, who have spent their careers building technology to eliminate everyday operational bottlenecks. After working with hundreds of small business owners, they saw a common problem: time spent on administrative tasks was keeping great service providers from growing their businesses.\r\n\r\nThey created Cactus to change that. Designed as an AI copilot for home service businesses, Cactus expands a company’s capacity without increasing headcount — helping owners scale faster, serve more customers, and operate with the efficiency of a much larger team.\r\n\r\nFounded by entrepreneurs, the mission is simple: to help home service businesses succeed and thrive, no matter their size. Cactus brings clarity, automation, and peace of mind to busy teams, removing daily bottlenecks so owners can focus on growth.\r\n\r\nFrom first call to booked job, Cactus delivers consistent, reliable experiences so businesses can win more work and build stronger customer relationships."
      }
    ],
    "url": "https://www.ycombinator.com/companies/oncactus",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/oncactus.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/oncactus",
    "x_url": "https://x.com/oncactusai",
    "fb_url": "https://www.facebook.com/oncactusai",
    "cb_url": "https://www.crunchbase.com/organization/cravd",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc921af3a03077384c1d7224eb024ee94e910b8d.png",
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 423660,
        "full_name": "Ajith Govind",
        "title": "Founder/CEO",
        "founder_bio": "2x YC Founder. Entrepreneur at heart with computer science background. Building Cactus to empower every home service business in the world to succeed. \n\nPreviously built Turing Labs W20, Series A raising over $20M. I collaborated closely with most of the Top 20 CPGs, including P&G, Unilever, Nestle, Kraft, Coca-Cola, Mars, and many others, delivering over $65M in impact. Personal motto: Never give up!",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ajith-govind",
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      },
      {
        "user_id": 1544219,
        "full_name": "Avinash Joshi",
        "title": "Founder/CTO",
        "founder_bio": "I'm a Rails programmer, a builder and love coding. I fell in love with computers at a very young age. Over the years I've shipped products across various programming languages and frameworks, including HTML+CSS, PHP, Python, Django, React, Angular, and Rails. From right-click save as HTML to left-click vibecoding, I've built it all!\n\nI have a simple mantra - \"It’s Possible.\"",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/joshi-avinash",
        "x_url": "https://x.com/avinashjoshi",
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      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "11 startups from YC Demo Day that investors are talking about | TechCrunch",
        "url": "https://techcrunch.com/2025/06/13/11-startups-from-yc-demo-day-that-investors-are-talking-about/",
        "date": "Jun 13, 2025"
      },
      {
        "title": "The Most Promising Startups From The First-Ever YC Spring Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/06/09/the-most-promising-startups-from-the-first-ever-yc-spring-batch/",
        "date": "Jun 09, 2025"
      }
    ],
    "launches": [
      {
        "id": 90199,
        "title": "Cactus - AI copilot for solopreneurs 🚀",
        "tagline": "Automate admin tasks for solopreneurs like private chefs and caterers, so they can focus on doing what they love!",
        "body": "# **❌ Admin is killing solopreneurs**\n\nEvery solopreneur starts their business because they love their work. Solopreneurs like private chefs, caterers, photographers, and personal trainers receive hundreds of inquiries weekly. They’re busy working, miss out on great opportunities, and can’t scale their business.\n\n# **💡 What we do**\n\nCactus (https://oncactus.com) answers the phone, qualifies leads, and handles bookings so the business owner has a full schedule of work. It is the AI Business Assistant that manages the admin so the owner can focus on what they love!\n\nCactus has empowered 100+ chefs and is growing rapidly! Next, we’ll expand to photographers and personal trainers.\n\n**Check out our [launch video](https://youtu.be/VWeQaySQnY8)**\n\n**1️⃣ We provide every solopreneur with a website**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/d1d7e29b-8f13-4677-aa86-4381df359716)\n\n**2️⃣ Our AI answers the phone and qualifies customers.**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/3cdfc4f0-2b3e-4692-8126-247d4e5650e8)\n\n**3️⃣ And help solopreneurs manage bookings**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/af86c212-6e6d-428d-ae06-bce3cba64763)\n\n# **🎯 The Team**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/7959cd10-8d3f-4416-b16c-b3e74b135eac)\n\nAvinash (left) and Ajith (right) are batchmates from college. Avinash joined Ajith's previous YC startup, where they spent three years working side by side to build the product from scratch.\n\nThey became dads and started hiring personal chefs and started as a marketplace to onboard and match chefs with busy families. During the process, we realized private chefs struggle with operations and admin work. We started building AI tools for them and made some of them wildly successful.\n\n# **🙏 Our ask**\n\nIf you know any solopreneur or small business that could use Cactus, connect them to us at [**founders@oncactus.com**](mailto:founders@oncactus.com) or send them directly to my cell +1 (415) 747-2607.\n\nExamples of businesses that can use Cactus include private chefs, caterers, photographers, personal trainers, business consultants, coaching agencies, or any entrepreneur managing a high volume of inquiries or calls.\n\nWe are entrepreneurs and our mission is to make every solopreneur successful. Cactus will empower the first billionaire solopreneur.\n\n**👉 Try us out at [https://oncactus.com](https://oncactus.com) & Spiky will thank you!**\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/ce23112f-5a3c-4bd1-9d18-2fb464fc33dc)\n\n![uploaded image](/media/?type=post&id=90199&key=user_uploads/423660/0a211a5c-f622-486c-8d66-9f25c9b48c23)\n\n",
        "url": "https://www.ycombinator.com/launches/NSp-cactus-ai-copilot-for-solopreneurs",
        "votes": 253,
        "created_at": "2025-05-08T14:08:33.111Z"
      }
    ]
  },
  {
    "id": 30545,
    "name": "StarSling",
    "slug": "starsling",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fae29a98d132c4b435b336dbb5d6cf4a1aaf5de7.png",
    "website": "https://starsling.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Drop-in Ubuntu runners plus AI agents that open optimization PRs for your workflows. StarSling Runners continuously improve your CI to make it up to 6x faster and 13x cheaper.",
    "one_liner": "Self-Driving CI: fast AI-native GitHub Actions runners",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747381971,
    "tags": [
      "Developer Tools",
      "B2B",
      "DevOps",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Engineering, Product and Design"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/starsling",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/starsling.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/starslingdev",
    "x_url": "https://x.com/starslingdev",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/starslingdev",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 7866,
        "full_name": "Yonas Beshawred",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ StarSling 💫 Previously Founder & CEO of StackShare, a developer community that had 1.5M+ devs and an enterprise SaaS offering ~$1M ARR, then sold to FOSSA.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yonas-beshawred/",
        "x_url": "https://x.com/yonasbe",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b3b96f558d6a2d589261e15aaff251e45429b39.jpg"
      },
      {
        "user_id": 751609,
        "full_name": "Daniel Worku",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO @ StarSling 💫 Built Netflix’s Internal Developer Portal (IDP) for their 3K+ engineers & managers and scaled it to become the highest DAU internal tool for devs. Eng on Facebook’s AI Camera team and helped build the mobile computer vision lib that currently powers camera effects for 100M+ DAUs across IG, FB, and WhatsApp.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/worku",
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    "launches": [
      {
        "id": 104233,
        "title": "StarSling Runners - Self-Driving CI",
        "tagline": "Fast GitHub Actions runners with AI agents that continuously improve your CI to make it up to 6x faster and 13x cheaper.",
        "body": "Hey everyone!\n\nWe're Yonas &amp; Daniel, co-founders of [StarSling](https://www.starsling.dev).\n\n**TL;DR: [StarSling Runners](https://starsling.dev/)** are an AI-native drop-in replacement for ubuntu-latest that continuously make your CI up to **6x faster** and **13x cheaper**. On day one, StarSling Runners are faster and cheaper. From there, AI agents analyze your pipelines and continuously ship optimization PRs.\n\n<https://www.youtube.com/watch?v=IxcYY5cuSXA>\n\n**🤔 Why now**\n\nCoding agents made writing code dramatically faster, and they’ve pushed PR volume up, which compounds CI times and cost fast.\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/2149565f-569b-4f8d-b4b3-9eab341daf0f)\n\nEveryone has the option of getting fast CI runners now. What nobody has is **CI that adapts and improves itself**.\n\nMeanwhile, keeping a CI pipeline fast is a constant manual chore: caches break, tests get flaky, build steps pile up, and someone has to notice and fix it, over and over. We believe DevOps tooling like CI should be as agentic as coding is, and that's the unlock behind self-driving CI: the optimization work that used to be a recurring human task now runs continuously in the background as part of the infrastructure running it.\n\n**🔥 The problem**\n\nKeeping CI fast is nobody's job and everybody's problem:\n\n* **Pipelines rot.** Caches get misconfigured, dependency installs get slow, tests turn flaky, build steps stop being parallel. Performance quietly degrades until someone carves out time to fix it.\n* **Fast runners alone don't solve it.** Swapping in faster hardware helps once, then your setup drifts right back as you add more code and tests and they get more complex. Plenty of products give you faster runners. None of them keep your pipeline optimized for you.\n* **It's getting worse.** Recent GitHub Actions pricing changes hit teams running lots of jobs, and GitHub's focus has clearly moved elsewhere. When we surveyed companies looking for DevOps AI solutions, a GitHub Actions agent was the single most-requested solution engineers wanted.\n\n**🧯 The solution: self-driving CI**\n\nStarSling Runners are an AI-native, drop-in replacement for ubuntu-latest\\\nthat get faster the longer you use them:\n\n* **Fast infrastructure on day one.** 5th Gen AMD EPYC (\\~30% faster than GitHub), actions/cache compatible with zero config, unlimited concurrency.\n* **AI agents that optimize your CI for you.** Agents continuously scan your workflows, jobs, run logs, and machine telemetry, then open optimization PRs: fixing caching, speeding up dependency installs, parallelizing build steps, sharding tests, and restructuring workflows. This is the part nobody else does. Real PRs our agents opened and customers merged: [sharding E2E tests across 3 parallel jobs](https://github.com/mastra-ai/mastra/pull/15888) (Mastra), [optimizing Playwright browser installs](https://github.com/better-auth/better-auth/pull/8073) and [fixing turbo cache config](https://github.com/better-auth/better-auth/pull/7950) (Better Auth).\n* **Cheaper, with no surprises.** $0.008/min vs GitHub's $0.012/min (33% cheaper), queue time never billed, no seat fees.\n* **You stay in control.** Every agent-authored optimization ships as a PR your team reviews and merges.\n* **Secure by default.** Every job runs in its own single-use, hardware-isolated microVM that's destroyed after the run, the same isolation model GitHub-hosted runners use. Secrets pass directly from GitHub to your job and are never stored by StarSling.\n* **One-line install.** Install the [StarSling GitHub App](https://github.com/apps/starslingdev) and copy our AI install prompt to swap ubuntu-latest\\\n  for starsling-ubuntu-24.04. You're on faster runners immediately, with 2,000 free minutes your first month. The optimization agents are in early access right now, so request access and we'll turn them on for your repos. **👇**\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/a91c193f-d5e1-4d00-a93c-1dfd6381666b)\n\n**📈 Traction**\n\nAfter being in private beta for the past four months, StarSling has now run over **one million CI jobs** for fast-moving teams like Better Auth, Mastra, Partcl, and more, and the self-driving AI agents is what won them over:\n\n* [**Mastra**](https://starsling.dev/customers/mastra) got **6x faster** CI:\n  * _\"The runners are just handled, so nobody on my team thinks about CI infrastructure anymore, and the agents keep optimizing for the one thing I care about: minutes saved.\"_ - Abhi Aiyer, Co-founder &amp; CTO at Mastra (YC W25)\n* [**Better Auth**](https://starsling.dev/customers/better-auth) got **2x faster** E2E:\n  * _\"StarSling agents are like a CI engineer we never had to hire. They find the slow spots, test out fixes, find the ones that work and open the PRs themselves.\"_ - Bereket Engida, Founder &amp; CEO at Better Auth (P25)\n* [**Partcl**](https://starsling.dev/customers/partcl) got **13x cheaper** CI, and the agents proved themselves on day one:\n  * _\"Within a day of migrating to StarSling Runners, their agents opened up a PR that literally made our Rust CI tests 2x faster!\"_ - Vamshi Balanaga, Co-founder &amp; CTO at Partcl (YC P25)\n\nFull case studies: <https://starsling.dev/customers>\n\n![uploaded image](/media/?type=post&id=104233&key=user_uploads/7866/10826f60-8e4d-41a8-a800-32026a78bfc8)\n\n\n**🏋️ Team**\n\n**Daniel** led the 12-person engineering team at Netflix that built their Internal Developer Portal (\"Netflix Console\"), the central hub for Netflix's 3,000+ engineers and the highest-DAU internal developer tool at the company. Before Netflix he was on Facebook's AI Camera team, building computer vision that powers camera effects for 100M+ DAUs across Instagram, Facebook, and WhatsApp.\n\n**Yonas** built StackShare, one of the largest online developer communities (1.5M+ registered developers), with an enterprise offering used by Fortune 500s to surface tech stack data across thousands of internal codebases. StackShare was acquired by FOSSA in 2024.\n\nWe've spent our careers on developer tools, and self-driving CI is the first part of a suite of tools we always wished we had.\n\n**🔮 Vision**\n\nDevOps should be as agentic as coding. CI is just the start. We're building toward a world where your entire pipeline improves on its own and AI agents take on the slow, manual engineering work that’s left after your coding agents finish, across the whole SDLC, so your team ships faster.\n\n**👇 Our ask**\n\n* **Try it.** If your team runs CI on ubuntu-latest, you're a one line change away from faster runs: <https://starsling.dev>. YC companies get 50% off the first year.\n* **Intros.** If you know a CTO or VP Eng at a company drowning in CI time or cost, we'd love an intro: 📧 [founders@starsling.dev](mailto:founders@starsling.dev)\n\nHappy Slinging!\n\n\\- Yonas &amp; Daniel",
        "url": "https://www.ycombinator.com/launches/R7B-starsling-runners-self-driving-ci",
        "votes": 85,
        "created_at": "2026-06-29T17:20:25.137Z"
      },
      {
        "id": 90469,
        "title": "StarSling - AI Agents for Developers That Ship 🛸",
        "tagline": "Agentic internal developer portal that automates your tasks across deployments, performance, incidents, and bugs",
        "body": "Hey everyone! \n\nWe’re Yonas & Daniel - Co-founders of [StarSling](https://www.starsling.dev).\n\nStarSling (https://starsling.dev) is a developer portal that turns your daily unplanned work from all your dev tools into one-click actions, powered by AI. Open your homepage, click on a GitHub, Linear, or Sentry issue and you’ll see an Autofix button that triggers an agent and opens a Pull Request with a fix, all without leaving your portal. It’s AI agents for the tasks that live outside of your code editor, across deployments, performance, incidents, and bugs.\n\nhttps://youtu.be/-rbrSNyguHY \n\n**🌄 Our Story**\n\nDaniel led an engineering team at Netflix that built their Internal Developer Portal (IDP), called Netflix Console. It was the central hub for Netflix's 3,000+ engineers, managers and leaders and became the highest DAU internal tool for developers at Netflix.\n\nYonas built StackShare, one of the largest online developer communities that had over 1.5M registered developers and an enterprise offering used by thousands of companies that integrated tech stack data into their IDPs and other internal tools.\n\nBoth of us have seen the challenges that developers at large companies face in keeping their tech stacks healthy across thousands of codebases. We’ve also seen the benefits that a high-quality single IDP brings to engineering teams. We believe that AI agents have created a unique opportunity for developers to get the benefits of an IDP with automation baked in from the start.\n\n**🔥 The Problem**\n\nDevelopers typically spend \\~20% of their time on annoying eng tasks outside of their code editor:\n\n* Fixing exceptions\n* Patching flaky CI builds and tests\n* Updating engineering docs and changelogs\n* Investigating and remediating incidents\n* Optimizing slow database queries\n* Debugging preview and staging environments\n* Rotating expiring credentials and keys\n\nThese tasks are spread out across many different developer tools and workflows: Sentry, GitHub, CircleCI, PagerDuty, Supabase, Vercel and many more. StarSling is unifying these tools and bringing AI agents to the rest of the software development lifecycle (SDLC).\\\n**🧯 Our Solution**\n\nWe're building a system of AI agents that perform engineering tasks using the deep context that only exists in an internal developer portal (IDP). One central command center that houses internal services, applications, APIs, documentation and has AI agents continuously improving them. We bring your tools into one system and give you powerful workflows by orchestrating AI agents across these tools.\n\nOur first offering is an agentic developer homepage that shows you your aggregated task list along with actions that AIs can take on your behalf. In your homepage you’ll see: your open PRs, exceptions, tickets, notifications, and more alongside AI agents.\n\n![uploaded image](/media/?type=post&id=90469&key=user_uploads/7866/d4f9f3c3-e7b9-485b-9920-3d04e80d385f)\n\nSoon StarSling will orchestrate agents across the more complex tasks like investigating incidents. Our immediate goal is to be the interface and “portal” to all the AI agents for the dev tools you already use.\n\n**🔮 Our Vision**\n\nTo create a system of AI agents that allows every engineer to spend close to 0% of their time dealing with deployments, performance, incidents, and bugs.\n\n**👇 Our Ask**\n\nIf you’re a developer working on a production system, we’d love to show you StarSling and get your feedback!\n\n👉 Signup for the waitlist: https://starsling.dev\n\n📧 Email us: [founders@starsling.dev](mailto:founders@starsling.dev)",
        "url": "https://www.ycombinator.com/launches/NXB-starsling-ai-agents-for-developers-that-ship",
        "votes": 591,
        "created_at": "2025-05-16T15:08:07.425Z"
      }
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    "id": 30553,
    "name": "Blueshoe",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\r\n\r\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.",
    "one_liner": "The AI-Native Consumer + Plaintiff Law Firm",
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        "full_name": "Casey O'Grady",
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        "full_name": "Kai Yee Wan",
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        "founder_bio": "Building Blueshoe, the agentic law firm for justice that never sleeps. Previously I have been a research assistant at MIT CSAIL, embedded software engineer at Google (Chrome and Nest teams), and lecturer in computer science at Northeastern University.",
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      {
        "id": 103927,
        "title": "Blueshoe: Elite legal service. For everyone.",
        "tagline": "The first AI-native consumer + plaintiff law firm",
        "body": "Blueshoe is a full-stack law firm that helps people with everything from everyday legal issues to high-stakes litigation and trial.\n\nPeople can access legal guidance directly through our web app or the AI interfaces where they are already seeking answers. If representation is needed, Blueshoe attorneys handle many cases all the way to resolution, equipped with cutting-edge data, AI-native tools, and operational support.\n\n<https://youtu.be/dLk-LHxAa5Q>\n\n**The Problem**\n\nEvery year in the United States, billions of dollars in legal needs go unmet because trustworthy, affordable help remains out of reach. Legal technology has been built for law firms and corporations, not the people seeking justice.\n\n**Blueshoe changes that.** \n\nBy bringing technology and legal services together, Blueshoe makes legal help more accessible, effective, and reliable with support across: \n\n* [Employment](https://www.blueshoe.com/for/employment)\n* [Property &amp; Housing](https://www.blueshoe.com/for/property-construction)\n* [Personal Injury](https://www.blueshoe.com/for/medical-injury)\n* [Consumer Protection](https://www.blueshoe.com/for/consumer-financial)\n* [Product Liability](https://www.blueshoe.com/for/product-environment)\n* [Commercial Disputes](https://www.blueshoe.com/for/creators)\n\n**How we do it**\n\n**1. Rebuilding the legal buying experience**\n\nToday, millions of people turn to AI before they ever call a lawyer. Blueshoe meets them there. \n\nAnyone using ChatGPT, Claude, Gemini, or other AI tools can connect directly with a Blueshoe attorney for a timely legal assessment and structured intake. All for a flat fee.\n\n**2. Making elite trial lawyers accessible**\n\nThe lawyers winning the largest verdicts aren't advertising on billboards or chasing clicks on TikTok.\n\nBlueshoe identifies, vets, and partners with exceptional trial lawyers, making high-quality representation accessible to the people who need it most.\n\n**3. Helping lawyers do their best work**\n\nMost lawyers spend too much time running a business and not enough time practicing law.\n\nBlueshoe provides qualified clients, AI-native software, and centralized operations in a single system. Lawyers focus on strategy, advocacy, and outcomes.\n\n**Who and why**\n\nWe're a [Harvard-trained lawyer](https://www.linkedin.com/in/casey-og/) and an [MIT engineer](https://www.linkedin.com/in/kywan/).\n\nWe’re building the law firm for a generation that expects everything always-on. A firm where technology doesn't replace judgment, but amplifies it, and where scale makes justice more human, not less.\n\nIf you're up against a legal issue — or you're a lawyer who wants to build the future of law — visit us at [blueshoe.com](http://blueshoe.com).\n\n![uploaded image](/media/?type=post&id=103927&key=user_uploads/1499064/d04c7ae1-d263-4f30-9f79-c90ac9aa7c1d)\n\n",
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        "votes": 22,
        "created_at": "2026-06-24T17:06:10.563Z"
      }
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    "id": 30554,
    "name": "Bond",
    "slug": "bond",
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    "website": "https://www.bondapp.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bond is an AI Chief of Staff that gives CEOs and busy executives real-time visibility into what’s happening across the company and tells them what to focus on. Saving execs 10+ hours a week.\r\n",
    "one_liner": "Your AI Chief of Staff",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1748290714,
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    "batch": "Spring 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": true,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/bond",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bond.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/thebondapp",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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      {
        "user_id": 959902,
        "full_name": "Chloe Samaha",
        "title": "Founder/CEO",
        "founder_bio": "Building the world's best AI Chief of Staff. Occasional skydiver, tennis, and guitar player.\n\n ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/chloesamaha/",
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        "id": 99329,
        "title": "GTM/Customer Success Lead",
        "url": "https://www.ycombinator.com/companies/bond/jobs/heVAbp8-gtm-customer-success-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$80K - $120K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 90815,
        "title": "BOND: AI Chief of Staff for CEOs and busy execs ⏳",
        "tagline": "Eliminate pointless meetings and save 10+ hours a week. ",
        "body": "Hey YC! 👋\n\n**TL;DR**\\\nBOND plugs into your tools (Slack, Jira, Notion, GitHub, Salesforce, etc.) to give CEOs real-time visibility on the metrics that matter and pings you when risks, blockers or wins appear. No more status-update meetings or scrambling for information. \\\n\\\n\\*\\*Save 10+ hours and thousands of dollars a week.\\*\\*\\\n[https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp](https://youtu.be/CWE6AkaOn9M?si=C77jXfWiYqcAWFAp%5C)\n\n⚠️ **The Problem**\n\n* **Data fog:** At 30 employees, you juggle 5+ tools that don’t talk to each other; by 100, it’s 20 tools…eventually, visibility vanishes as you scale.\n* **Hunting answers:** Every question spawns meetings, email chains, or Slack searches. 10 people pause work just to pull reports.\n* **Missed moments:** No real-time insight means lost chances to unblock projects or close deals…you’re stuck in reactive fire drills.\n\n\\\n**🛠️ Meet BOND: Your AI Chief of Staff**\n\n* **Ask Donna Anything**: A chatbot that has the answers to all of your questions. Your single source of truth across every tool in your stack.\n* **Presidential Brief**: Each morning BOND sends a one-page snapshot via Slack or email: what moved, who’s blocked, and your top 3 priorities. No more all-hands, just the intel you need to start your day.\n* **Live Dashboard**: Central view of KPIs, project statuses (with owners), and team capacity.\n* **Pattern Radar**: Automated alerts on stalled projects, team overload, churn spikes, and outliers.\n\n  ![uploaded image](/media/?type=post&id=90815&key=user_uploads/959902/c1e5b82f-7386-4575-9bfd-94a2a75ad052)\n\n\n**🌟 Why We Built It**\\\nAfter 2,000+ interviews with CEOs, CoSs and execs, one insight stood out: knowledge management is broken. \n\nWith LLMs and vector search, we finally have the tech to tear down the data silos, and KILL the data fog.\\\n\\\n\\*\\*We’re on a mission to collapse management layers and help companies ship 1000x faster.\\*\\*\\\n\\\n**🔐 Enterprise Ready**\\\nYour data is safe. SOC II and more provided by [Probo (YC X25)](https://www.ycombinator.com/companies/probo)\\\nBOND runs inside your infra, so your data never leaves your walls. **\\\n\\\n🏁 Start Today\\\nReady to get your sh\\*t together? We have limited pilot spots.\\\n✉️ Email: [founders@bondapp.io](mailto:founders@bondapp.io)\\\n💬** **Text:** +1 (415) 418-4017\\\n**\\\n👉** For more info: [**bondapp.io**](http://bondapp.io)\\\n\\\n**Your time is too valuable to waste.** \\\n_Stop talking about work—let BOND be your CoS so you can actually get things done._",
        "url": "https://www.ycombinator.com/launches/Ncl-bond-ai-chief-of-staff-for-ceos-and-busy-execs",
        "votes": 195,
        "created_at": "2025-05-28T16:33:41.699Z"
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  },
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    "id": 30562,
    "name": "Docket",
    "slug": "docket",
    "former_names": [
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      "docket"
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    "website": "https://docketqa.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Docket lets you write end-to-end tests in plain English and keeps them up to date automatically—powered by real user sessions.",
    "one_liner": "AI agents for web testing",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1747107485,
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    "year_founded": 2025,
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    "country": "US",
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      "name": "Aaron Epstein",
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        "user_id": 296302,
        "full_name": "Nishant Hooda",
        "title": "Founder/CTO",
        "founder_bio": "Building the future of software testing. Ex-engineer at Stripe and Brex.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nishant-h",
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        "user_id": 598746,
        "full_name": "Boris Skurikhin",
        "title": "Founder/CTO",
        "founder_bio": "Building the future of software testing. Previously Quant Dev at Citadel & SWE at Patreon.",
        "is_active": true,
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        "id": 90473,
        "title": "Docket – AI agents for QA testing",
        "tagline": "Docket lets you test your website in plain English, and automatically keeps tests up to date",
        "body": "**TL;DR**\n\n**Docket lets you write tests in plain English. Then we keep those tests in sync with how users actually interact with your product — no more flaky selectors or stale test scripts.**\n\n---\n\n### **The Problem**\n\nE2E tests are a _pain_ to write — and an even bigger pain to maintain.\n\n* Writing Cypress or Playwright tests is time-consuming and brittle\n* Even no-code tools require manually defining flows or relying on flaky CSS selectors\n* Every UI change risks breaking your suite, forcing teams to either spend hours fixing tests or just give up and test manually\n\nMost teams hit the same tradeoff: **move fast and break things** — or slow down to ensure quality.\n\n### **Our Solution**\n\nDocket lets you:\n\n* Write tests in plain English (\"Log in, Search for Y Combinator t shirt, Add 2 shirts to cart\")\n* Skip the brittle selectors — we use multimodal agents that interact with the page like humans\n* Automatically keep tests up to date with real user session data\n\n---\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/5977d1c3-f564-4d67-b623-319bb6252efd)\n\n### **Meet the Team**\n\nWe’re **Nishant** and **Boris** — two engineers who dreaded writing tests so much, we started a company to fix it.\n\nWe met while working at **AWS**, and between us, we’ve built and shipped products at **Stripe, Citadel, Brex, and Patreon**. But testing was always the drag. Writing tests took forever. Keeping them working was even worse. We constantly felt the pain of choosing between moving fast and having confidence in our code.\n\nSo we’re building the tool we wish we had: **Docket** — tests in plain English that stay up to date, without the maintenance burden.\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/f2b9cf37-f50c-4c40-8ca9-6a43d5069a0b)\n\n---\n\n### **Launch Offer**\n\nAs part of our launch, we’re offering **free complete test suite implementations** for our next 10 customers. Book a demo [here](https://calendly.com/nishant-docket/docket-intro-meeting)!\n\n\\\n— Nishant & Boris\n\n![uploaded image](/media/?type=post&id=90473&key=user_uploads/296302/c4bc7ae4-7794-4316-9dce-883ce72a97fc)\n\n",
        "url": "https://www.ycombinator.com/launches/NXF-docket-ai-agents-for-qa-testing",
        "votes": 142,
        "created_at": "2025-05-16T16:59:32.208Z"
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    "id": 30565,
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    "website": "https://getcohesiveai.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Cohesive is the agentic CRM for blue collar businesses like janitorial, pressure washing, landscaping, HVAC, and pest control businesses. Cohesive fully automates sales and marketing outreach to local businesses and property owners in the service area, helping local service businesses grow even while servicing clients in the field.",
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1747185757,
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        "full_name": "Nam Nguyen",
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        "founder_bio": "Former founding engineer at Starlight (South Park Commons fintech) and former ML engineer at Microsoft. Builder at heart, with a love for systems programming and math puzzles. Now on a mission to help blue-collar entrepreneurs scale with AI at Cohesive.",
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      {
        "id": 90422,
        "title": "Cohesive - AI CRM for blue collar businesses 🧹🧤",
        "tagline": "We automate sales and marketing for blue collar companies, helping them stay on top of new commercial opportunities in their service area",
        "body": "Hey everyone, we’re[ Kevin](https://www.linkedin.com/in/kevindzhang/) and[ Nam](https://www.linkedin.com/in/nam-nguyen96/) - cofounders of[ Cohesive](https://getcohesiveai.com/) 👋\n\n**TL;DR**\n\nCohesive helps service business owners take control of their own destiny - our agentic CRM fully manages growth today for over 350 commercial cleaning, landscaping, and pest control owners.\n\nhttps://www.youtube.com/watch?v=DE3ZNisKZoQ\n\n**❌ The Problem**\n\nIf you run a commercial service company (e.g., janitorial, HVAC, landscaping, pest control), you’re probably out in the field quite often visiting clients.\n\nSince you’ll be constantly on the move, most of your growth is dependent on others - outsourced sales talent (like offshore VAs), paid ads (like LSA), or from marketing agencies (like for SEO or lead generation). \n\nThis is the reality for the 1+ million blue-collar businesses in the United States today.\n\n**👷 Our Solution**\n\nOur agentic CRM helps service businesses grow by in-housing growth:\n\n* **Market Research:** building out a list of potential business owners and property owners and their contact information in their service area\n* **Outreach:** automatically reaching out to potential targets to assess interest, and self-updating the CRM accordingly\n* **Monitoring:** constantly monitoring and triggering follow-ups based on active signals (e.g., new location opening or existing contract ending)\n\nIt’s helped our customers so much that one of early clients is buying us NBA floor tickets (albeit for the worst team in the league):\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc1EFN9K8a4exd5YmdWDeo6af4PDp4M_GTp8eqIRZB0pf5nxrh7OWotK1VZQg3QYBjQ7QbclIsSJm5TkIyz6W50FTO_OD01zEGaFOOgM82Jy2nA2iA5Tg13zVXg6gP_FtTUJ2GSGg?key=HJjAgxbnHaeSWRuTHARDMw)\n\n🙏 **Our Ask**\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/cohesive-ai)\n* Share this post - do you know anyone running a commercial service business (e.g., did you recently hire a janitor or landscaper? Let them know - they can book a demo [here](https://calendly.com/cohesiveapp/demo)!)\n* Learn more at [getcohesiveai.com](http://getcohesiveai.com)\n\n**👬 The Team**\n\nKevin and Nam have known each other for years (founded a 50K MRR+ service business together before) and co-founded Cohesive in late 2024. \n\nKevin (CEO): Previously led a product at Charthop (a16z-backed HR tech), and was a consultant at McKinsey, where he worked with national service franchises on GTM strategy. BS Econ at Duke\n\nNam (CTO): built LLM-powered recommendation systems at Microsoft, founding engineer at Starlight (South Park Common and General Catalyst backed fintech startup). CS and Math grad from Williams",
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        "full_name": "Raghav Arora",
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        "title": "GETASAP ASIA: 8 Hour Distribution for Retailers in Southeast Asia 🏪",
        "tagline": "We’re the Amazon for B2B, supplying corner shops, restaurants, and supermarkets, ensuring shelves never go empty.",
        "body": "**Hey everyone** [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Raghav](https://www.linkedin.com/in/raghav-arora-516b1826b/) (17 y/o) and [Krishna](https://www.linkedin.com/in/pranavkrishnasuresh/) (19 y/o), the co-founders of [GETASAP ASIA](https://bookface.ycombinator.com/company/30598).\n\n### **TL;DR**\n\n**We are a tech-enabled distributor for retailers in Southeast Asia.** We use software to offer the lowest prices and 8 hour same day delivery to corner stores, restaurants and supermarkets.\n\n**Today** **we supply** 40,000 outlets including 18 supermarket chains and hundreds of corner stores and restaurants. We stock 20,000+ SKUs from 270+ brands and operate several fulfillment centers across SEA.\n\n**Ask:**\n\nCan you intro us to CPG brands that could benefit from exposure to SEA market?\n\nCan you intro us to retail chains that we could supply to?\n\nCan you intro us to US retail tech executives?\n\nhttps://youtu.be/dPhL1k2n1Y8\n\n# **❌ The Problem**\n\nLegacy distributors _don’t believe in tech_.\n\n• Systems don’t talk to each other, so information is stuck in separate tools.\n\n• Lead times are long and freight isn’t optimized.\n\n• Forecasting is guesswork, which causes stockouts during peak season and costs stores significant revenue.\n\n• Labor costs are high, much of the work is manual, and prices are managed by hand, so margins shrink.\n\n# [**👷**](https://emojipedia.org/construction-worker)**The Solution**\n\nGETASAP ASIA is a tech-enabled distributor for retailers in Southeast Asia, operating a network of optimized fulfillment centers that restock stores in under 8 hours at the lowest landed price.\n\nOur enterprise-grade demand intelligence powers our 8-hour fulfillment model and enables real time stock tracking, automated reordering for stores, and forecasting that positions inventory close to demand—so orders move from purchase to shelf within hours and stockouts approach zero.",
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        "created_at": "2025-08-22T03:54:59.748Z"
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    "website": "https://closera.com",
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        "full_name": "Anmol Tukrel",
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        "full_name": "Alex Mac",
        "title": "Founder/CEO",
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        "user_id": 2786499,
        "full_name": "Nam Nguyen",
        "title": "Founder",
        "founder_bio": "Former AI Researcher @ Stanford Law and presented to State Congress, EU Parliament, & Risk Functions at AmLaw 50. Former Product Manager @ MoMo (SEA fintech unicorn) shipping products to 300,000 MAU. Former Strategy Consultant at EY, advising nearly $30mn in transactions.",
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        "title": "truthsystems: AI Governance Agent for Regulated Industries",
        "tagline": "Building the Chief Compliance Officer at every single AI Interactions",
        "body": "![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdVRq9G6zxM14SvFxiMBUF0pK8ArLuZpJJePm0rkpzFPHtEaCYoGI4uz_9DnEJ7YYY4QM5FsGVm5DOO3Ja05maM1DW0_2TQHPom4vPTWbbpDuMg3qZNbtmYD9hOeyZZnu8OFh2muQ?key=RHZIlJDEf1i3HROkoIzKug)\n\n## **💬 TL;DR: GenAI introduces compliance & governance nightmares to all firms in regulated industries. We solve this by building an AI governance agent that monitors AI use and flags potential policy violations to end users.**\n\n## **💬 The Problem**\n\nLaw firms, banks, and other firms in regulated industries want to use more AI, but doing so without robust governance tools risks compliance breaches and client trust loss.\n\nThe problem is most acute in law firms, which we observed firsthand as AI researchers at Stanford Law School. **It stems from three primary challenges:**\n\n* **Unmanaged Liability:** There is no room for mistakes at law firms. Simple actions, such as uploading confidential files to AI tools or relying on AI-generated citations, can result in millions of dollars' worth of breaches and, more importantly, erode client trust.\n* **No Operational Control:** Firms can't see or control how employees use different AI tools, and they have no way to enforce the policies they write. \n* **Conflicting Client Mandates:** One client may require prior written approval for all AI tools, another might forbid their data on a specific matter from leaving the country, and a third bans AI entirely. Manually enforcing these unique rules for every client and their respective matter is impossible.\n\n**The result:** Firms hesitate to fully embrace AI, fearing reputational damage and costly mistakes; many ban AI or have already paid millions for errors discovered too late.\n\n**🏆 The Solution**\n\nTruth Systems provides firms with a compliance AI agent that reads firm policies and client guidelines, then converts them into dynamic guardrails that can be enforced on top of all AI usage\n\nHere’s an example of how it works:\n\n[Truth Systems - August 2025 Demo](https://www.loom.com/share/7cb045b4d9134727936f25dec2083c0f)\n\n## **🖖 Why We Build Truth Systems**\n\nWe are a team of AI nerds, researchers, and product builders who believe that responsible deployment of technology is the key to unlocking meaningful innovation in regulated industries.\n\nOur co-founders, [Alex Mac](mailto:alex@truthsystems.ai) and [Nam Nguyen](mailto:nam.nguyen@truthsystems.ai), were childhood best friends and AI researchers at Stanford Law under Dr. Megan Ma, collaborating with top law firms to address their concerns about this technology. Our founding engineer, Mikolaj Bochenski, was the 2nd hire at Legora, one of the largest Legal AI companies in the world, and understands intrinsically how legal AI is built and deployed. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdbC9GGtu-LK9MRGBCZ221JfsrfUvbLH0mwzGkSbLxxc6uVoBNvQrpedx3mIwvKClEP_K388qiV0_BoOYrYv29ysqqYI375twgSmROoTYp5Dd36Q33W5Fl0wQkgge5OTfn3TihV0g?key=RHZIlJDEf1i3HROkoIzKug)\n\nWe’re already working with two law firms with $2 billion in revenue combined, and helping nearly 1,500 attorneys use generative AI safely and responsibly. \n\n## **📈 The Opportunity**\n\nOur vision is to continue being the leading software that governs all AI use in regulated industries. Law firms are only the first steps for us. They are trusted advisors on governance and an important customer that helps us expand into other regulated industries. We envision a future where every knowledge professional can confidently and safely adopt the latest AI capabilities.\n\n## **⭐ Our Ask**\n\nWe are live and are onboarding law firms daily. If you know any:\n\n* Lawyers, Innovation folks, or Governance/ Info Sec Teams at Big Law, we should talk to\n* Front-end Devs who are passionate about cracking the hardest security problems in regulated industries\n\n \n\nPlease drop us a note at [nam.nguyen@truthsystems.ai](mailto:nam.nguyen@truthsystems.ai)\n\nMany thanks for your support! ❤️",
        "url": "https://www.ycombinator.com/launches/OA2-truthsystems-ai-governance-agent-for-regulated-industries",
        "votes": 39,
        "created_at": "2025-08-10T20:27:26.507Z"
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        "founder_bio": "did a few things early in life (went to college at 12) and now hoping to do the exact same thing for the rest of it: building.",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Helping to build more socially intelligent AI, starting with voice.",
    "one_liner": "Building socially intelligent AI",
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        "full_name": "Ashley Mo",
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        "full_name": "Aoi Otani",
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        "founder_bio": "Co-founder & CTO ",
        "is_active": true,
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        "tagline": "We provide real voice and video data for developing realistic AI.",
        "body": "**TL;DR:** We provide high-quality human voice and video datasets for companies building realistic AI models. Real data sourced in-house across diverse languages, emotions, and contexts.\n\n**Ask:** [Talk to us](https://calendly.com/ashleymo-theliva/30min) if you're a researcher or founder building voice/video generation models. We can help you.\n\nhttps://youtu.be/PwjTSZRC8XE\n\n**The Problem:**\\\nCompanies building voice and video AI models need quality training data to reach human-like performance for models. Scraping has limits and existing datasets lack diversity across accents, emotions, and languages. As AI moves toward human-like interactions like customer conversations, therapy sessions, classroom teaching, or entertainment, models need authentic human expressions that the internet can't supply.\n\n**Our Solution:**\\\nLiva collects real, consented human voice and video entirely in-house—no synthetic data or third-party purchases. All content is authentic and rights-cleared.  We’re already delivering our voice dataset to a lab training expressive foundation models for voice.\n\nWe capture diverse accents, emotional range, and varied contexts (sales calls, multi-channel dialogues, expressive monologues, casual conversations, job interviews, and more) with high production quality through crowdsourcing and strategic partnerships.\n\n**The Team:**\n\nWe’ve worked on many research projects together since we met 3 years ago.\n\n* **Ashley:** Caltech CS dropout. Built an AI model to detect lung disease from cough recordings (@ MIT) and led large-scale data collection initiatives. \n* **Aoi:** Prev. Harvard Bio/CS. Did ML research in representation learning and image diffusion models. 5+ Publications in ICML, Nature, etc.\n\n**Our Ask:**\n\nIntroductions to:\n\n* AI labs building or fine-tuning voice, video, and multimodal generation models\n* Companies using or integrating voice/video models\n* Film, audio, and content production companies\n* Researchers working on audio, video, and multimodal generative models\n\nContact us: [founders@theliva.ai](mailto:founders@theliva.ai)",
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        "full_name": "Jack Brown",
        "title": "Founder",
        "founder_bio": "Jack is the co-founder of Lark.\n\nPreviously, Jack built usage-based billing at Stripe to support the complex pricing models of the worlds biggest AI companies. Prior to his previous role, Jack led engineering teams at fast-growing startups, where he built developer tooling infrastructure to improve developer productivity.",
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    "launches": [
      {
        "id": 95995,
        "title": "Lark: Stripe without the workarounds",
        "tagline": "Delete your billing code",
        "body": "**Problem** 🔴\n\nToo often, customers tell us they use Stripe for billing but when I ask how they manage their credits or track usage, I always hear the same answer: “we built it in-house”. These pricing models are not edge-cases. They’re the new normal in the age of AI.\n\n**Solution** ⚒️\n\n[uselark.ai](https://uselark.ai) is a modern billing platform with the flexibility to support any pricing model (credit-based, usage-based, hybrid, dimensional, token-based, etc…) at any scale (**10x more** than Stripe).\n\nWhether you’re building an AI powered API or a B2B SaaS product, Lark provides everything (including checkout + customer-facing portal) you need to implement complex billing logic without the hassle.\n\nA few nice things about us -\n\n* You don't have to manage any webhooks or store custom billing state (like stripe customer id) in your database\n* Our APIs are simple. You don't have to integrate with a separate checkout API. We also provide [frontend SDKs](https://docs.uselark.ai/guides/subscriptions/feature_access/) to check billing state (like remaining credits, feature access)\n* Seamless pricing changes that automatically apply to your customers without involving engineers\n* We also help you track margins & LLM costs per customer for AI applications\n\n📘 **Quickstart**: https://docs.uselark.ai/\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/df8c7258-bc58-4c50-99a2-79b06af9fd50)\n\n**Checkout + customer-facing portal included**\n\nNo separate APIs, state management, or webhooks\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/6adaf51f-5012-4edd-b7f8-773cf5688eff)\n\nCustomer-facing portal includes real-time usage and subscription management\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/062c65c1-3ddf-409b-bfad-aaf95f24c116)\n\n**Scalability**\n\nLark supports up to 1M events per second so you don’t have to worry about pre-aggregating your data.\n\n![uploaded image](/media/?type=post&id=95995&key=user_uploads/923500/79359907-1af9-4baa-a5c4-cac78402715e)\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the [usage based billing](https://stripe.com/billing/usage-based-billing) and [customer portal](https://docs.stripe.com/customer-management) product at Stripe.",
        "url": "https://www.ycombinator.com/launches/OyJ-lark-stripe-without-the-workarounds",
        "votes": 25,
        "created_at": "2025-12-04T22:37:50.310Z"
      },
      {
        "id": 93109,
        "title": "Lark: AI Agents for Billing",
        "tagline": "We build AI agents to solve billing issues for subscription companies. ",
        "body": "**TL;DR** \n\nLark helps subscription companies automate customer billing support inquiries, manage chargebacks, and prevent fraud.\n\nhttps://youtu.be/gmg8HxjaS1Q\n\n**Problem**\n\nBilling your customers is hard.\n\nTeams spend tens of hours every week attending to billing support inquiries and customers often wait days to receive a response. You also have to worry about fraud and chargebacks.\n\nAll of this is distracting for your team and no one likes working on this. Ignoring the issue leads to frustrated customers, risk of being banned from your payment processor, and lost revenue.\n\n**Solution**\n\nLark provides AI agents that automate all of this for you.\n\nOur agents integrate with your billing provider, support system (e.g. zendesk), and data sources to gather context about the customer and take actions on your behalf. The agents’ decisions are evaluated against strong guardrails to ensure their actions are safe and follow your policies.\n\n**Team**\n\n[Vijit](https://www.linkedin.com/in/vijitdhingra/) and [Jack](https://www.linkedin.com/in/jackcbrown/) both previously built the usage based billing product and customer portal for a large billing provider. Jack has solved billing issues at several startups. \n\n**Our Ask**\n\nIf you’re tired of dealing with billing issues or know someone who is, we’d love to chat! We’re currently working with a few large consumer companies and are actively looking to onboard more customers. We’re also happy to chat about anything in the billing space!\n\n**Contact Info**\n\n[founders@uselark.io](mailto:founders@uselark.io)\n\n[Book time here](https://calendly.com/founders-uselark/lark-chat)",
        "url": "https://www.ycombinator.com/launches/ODl-lark-ai-agents-for-billing",
        "votes": 43,
        "created_at": "2025-08-18T19:33:29.250Z"
      }
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  },
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    "id": 30640,
    "name": "Monarcha",
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    "website": "https://monarcha.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Monarcha is an AI-powered georeferencing platform built for mining, infrastructure, and land intelligence teams. It turns scanned maps, plats, and land documents into accurate, queryable spatial data in seconds.\r\n\r\nAligning historical maps, plats, and survey drawings to real-world coordinates is tedious work. Most teams either hire specialists or skip it entirely, leaving critical spatial data locked in documents.\r\n\r\nMonarcha lets users upload any document and get a fully georeferenced, queryable GIS layer in 90 seconds or less.\r\n\r\nWant to learn more? Check out monarcha.ai",
    "one_liner": "Turn maps into data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753222195,
    "tags": [
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      "B2B",
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/monarcha",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/monarcha.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/monarcha-ai/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "James Spokes",
        "title": "Founder/CEO",
        "founder_bio": "James is a Co-Founder of Monarcha. He holds a B.A. from the College of Arts & Sciences at Cornell University. Previously, he designed for Station-F backed startup Loop, and built a multi-agency alerts systems at Mark43. He also is an accomplished photographer, having published multiple books and won prizes at the International Photography Awards. ",
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      {
        "user_id": 1101642,
        "full_name": "Everett Lee",
        "title": "Founder/CTO",
        "founder_bio": "Everett is a Co-Founder of Monarcha.\n\nHe graduated early from Cornell Engineering with a degree in Computer Science and began a CS master's, before dropping out to build Monarcha. \n\nHe did research as part of Cornell's AI Innovation Lab and led Machine Learning Engineering at Cornell Data Science.\n\nPreviously, Everett worked as an AI Engineer building computer vision models at WEX and as a Data Scientist at Avalara.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/everett-lee-6540b41b3/",
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      {
        "id": 93099,
        "title": "Monarcha - The AI GIS Platform",
        "tagline": "We make geospatial analysis instant, no GIS analyst required.",
        "body": "Hey everyone 🗺️ 👋\n\nWe are James and Everett, and we’re excited to announce [Monarcha](https://www.ycombinator.com/companies/monarcha).\n\n**TL;DR:**\n\nWe are building the AI-native GIS platform. Monarcha automates the slow, fragmented workflows in mapping and spatial analysis:\n\n* Uploading and enriching datasets, done instantly\n* Running 50+ spatial tools, just by describing what you need\n* Producing styled maps, no SQL or Python required\n\n[https://www.youtube.com/watch?v=rXHBTKKXARY\\\\](https://www.youtube.com/watch?v=rXHBTKKXARY%5C)\n\n**Problem**\n\nGeospatial data is everywhere, but using it is deeply technical. Legacy tools like ESRI or QGIS require specialists with years of training, which makes even simple questions inaccessible to most teams.\\\n\\\n**Solution**\n\nMonarcha makes advanced spatial analysis simple and accessible. Anyone who needs maps can now run advanced geospatial analysis in seconds, no GIS expertise required.\n\n**How it works**\n\nUsers connect their data and manage all spatial workflows through a single conversational interface.\n\nThey can see the analysis steps, provide feedback, and watch the map update instantly. The agent also can also spot and fix missing data or edge cases.\n\nFor example, users might say:\n\n* _“Find all parcels zoned residential within 10 minutes of transit.”_\n* _“Overlay wildfire risk maps with proposed housing sites.”_\n* _“Score neighborhoods by access to schools, parks, and jobs.”_\n\nIt feels like having a full GIS team on demand, but faster, cheaper, and accessible to anyone.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/8a37dd91-a21c-4d7a-94fe-c53f01d6b646)\n\n\\\n\\\n**About Us**\n\nThe founders met at Cornell, where we led the university’s largest engineering and data science teams.\n\n* [James](https://www.linkedin.com/in/james-spokes/): Built a multi-agency alert system at Mark43. Designed at Station-F backed startup Loop. Led Cornell Digital Tech & Innovation.\n* [Everett](https://www.linkedin.com/in/everett-lee-6540b41b3/): Researcher at Cornell AI Innovation Lab. Led ML Engineering at Cornell Data Science. AI Engineer at WEX and Data Scientist at Avalara.\n\n![uploaded image](/media/?type=post&id=93099&key=user_uploads/2309795/44307b12-511b-4a7b-a237-22ad41653682)\n\nIf you know planners, developers, environmental teams or have worked with GIS check out [monarcha.ai](http://monarcha.ai) or reach out to us at [founders@monarcha.ai](https://mailto:founders@monarcha.ai).",
        "url": "https://www.ycombinator.com/launches/ODb-monarcha-the-ai-gis-platform",
        "votes": 20,
        "created_at": "2025-08-18T14:59:38.456Z"
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    "id": 30652,
    "name": "OnDeck AI",
    "slug": "ondeck-ai",
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    "website": "https://www.ondeckai.com",
    "all_locations": "Vancouver, BC, Canada",
    "long_description": "OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. Our model, Perception-0, let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.\r\n\r\nThe Pain: Creating vision models usually takes months: collecting training data, training, then deployment.  Worse yet: \r\n+ it’s often impossible to get enough data for a specific task, and \r\n+ even the best cv models struggle to generalize across diverse camera setups, workflows and environments. \r\n\r\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Now, our model Perception-0 beats the best VLMs including Gemini at long video understanding.\r\n\r\nOur current customers include:\r\n- National Defense Organizations\r\n- Robotics Research\r\n- Security cameras\r\n- Behaviour analysis for port monitoring\r\n- Off-shore oil & gas monitoring",
    "one_liner": "Analyze any footage, without training a model",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1755488960,
    "tags": [
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      "Computer Vision",
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      "Video"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Analytics"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ondeck-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ondeck-ai.json",
    "year_founded": 2025,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/ondeckai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 1161477,
        "full_name": "Alexander Dungate",
        "title": "Founder/CEO",
        "founder_bio": "Solving vision @ OnDeck. BSc in CS + biology, National Geographic Explorer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-dungate/",
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        "user_id": 1148628,
        "full_name": "Sepand Dyanatkar",
        "title": "Founder/CTO",
        "founder_bio": "Solving vision.  Masters @ Cambridge in multi-agent RL. Research in swarm robotics for space, and built software at Amazon and the European Space Agency. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sepandd",
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    "jobs": [
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        "id": 81971,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/ondeck-ai/jobs/IQTL9o5-founding-engineer",
        "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $200K CAD",
        "equity_range": "0.10% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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      {
        "id": 93172,
        "title": "OnDeck AI - Analyze any video, without training a model.",
        "tagline": "We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data.",
        "body": "Hey everyone 👋\n\nWe’re Alexander and Sepand, cofounders of [OnDeck AI](https://ondeckai.com).\n\n### TL;DR\n\nOnDeck lets you analyze any video, without training a model. Instantly find any event, behaviour, or object without needing any training data.\n\n### Ask:\n\n**Do you know anyone who needs to analyze tons of video or imagery? Please introduce us!**  [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com)\n\n\\[[https://youtu.be/MafiM94IkV8\\\\\\]](https://youtu.be/MafiM94IkV8%5C%5D)\n\n### The Pain:\n\nCreating vision models can take months of engineering time: collecting training data, training, then deployment.  Worse yet: \n\n* it’s often impossible to get enough data for a specific task, and \n* even the best cv models struggle to generalize across diverse camera setups, workflows and environments.\n\n \n\n### Our Magic:\n\nTo overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We **published a NeurIPS workshop paper** showing our new methods with VLMs beat traditional CV even at niche tasks.\n\nWhy this is good:\n\n* We never train on customer data, unlocking sensitive use cases.\n* Deploy instantly and skip months of R&D.\n* Identify things that have never been seen before.\n* Unlike traditional cv, OnDeck can **_understand_** qualitative behaviour and sequences of events.\n\nThis summer we’ve analyzed thousands of hours of footage across:\n\n* Fleets of Autonomous Surface Vessels \n* Robotics Research\n* Security cameras \n* Behaviour analysis for port monitoring\n* Off-shore oil & gas monitoring\n\n### The Team:\n\nSepand (CTO) has a Master in ML from Cambridge and worked at the European Space Agency, Amazon, and swarm robotics research labs. We both studied cs in university together and we’ve been best friends since grade 6. We originally started OnDeck to automate fisheries monitoring (counting fish in video 🐠). We generated six-figure revenue before pivoting in January.\n\n![uploaded image](/media/?type=post&id=93172&key=user_uploads/1161477/796316a1-6848-4ece-a2b3-cc5e56514825)\n\n**Ask: Do you know anyone with loads of video or imagery to analyze? Please introduce us!\\\n\\\nPing us anytime:** [alexander@ondeck-ai.com](mailto:alexander@ondeck-ai.com) / [ondeckai.com](http://ondeck-ai.com) / [Linkedin](https://www.linkedin.com/company/ondeckai/) / [Twitter](https://x.com/ondeckai)",
        "url": "https://www.ycombinator.com/launches/OEm-ondeck-ai-analyze-any-video-without-training-a-model",
        "votes": 34,
        "created_at": "2025-08-20T01:13:05.704Z"
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    "id": 30653,
    "name": "Async",
    "slug": "withasync",
    "former_names": [
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    "website": "https://withasync.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Async builds AI agents that run small businesses. Law firms, healthcare clinics and real estate companies hire our AI agents to automate complex work that's never been economical to staff with humans, letting us capture labor spend that didn't previously exist.",
    "one_liner": "AI agents that run small businesses",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750879126,
    "tags": [
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/withasync",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/withasync.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useskope/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 2087375,
        "full_name": "Ben Smith",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder of Async. Used to sell shoes, trading cards and collectibles. Dropped out of college at 20 to build software. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ben-smith-b15b12293/",
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      {
        "user_id": 1593011,
        "full_name": "Connor Park",
        "title": "Founder/CTO",
        "founder_bio": "Previously studied Computer Science at the University of Michigan, Ann Arbor. Building since 7 years old. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/connor-park24/",
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    "launches": [
      {
        "id": 109673,
        "title": "Async - Specialized AI agents, that automate costly work for small businesses.",
        "tagline": "AI agents that change how small businesses can run",
        "body": "[https://drive.google.com/file/d/1pDRqFr9HS9Tlou6LoJb8I9sFyKTJpDbv](https://drive.google.com/file/d/1pDRqFr9HS9Tlou6LoJb8I9sFyKTJpDbv/view?usp=sharing)\n\\\nTLDR: Async builds AI agents that change how real economy small businesses can run. Law firms, healthcare clinics, real estate companies, and childcare facilities hire our AI agents to automate complex work that's never been economical to staff with humans. Every day, our agents complete work from scheduling clinical therapy appointments, to drafting long legal documents, to entering data into legacy practice management systems. We've automated thousands of hours worth of work for small businesses around the country.\\\n\\\n**The Problem:**\\\nSmall businesses lack the ability to effectively adopt AI.\n\n* Effective adoption requires rebuilding operating procedures to be agent first, instead of human first. SMB owners generally lack the time and knowledge to do this.\n* Out-of-the-box solutions fail to make an outsized impact within complex operations.\n* These businesses cannot grow without scaling headcount.\n\n\\\n**The Solution:**\\\nWe rebuild workflows and deploy AI agents to automate them end-to-end.\n\n* We build a configurable platform that lets us quickly deploy specialized AI agents inside of their business.\n* These agents work within our platform and on top of legacy systems.\n* The work our agents handle for customers spans everything from drafting real-estate closing documents, to coordinating scheduling for ABA therapy appointments, to handling data entry into legacy legal software systems.\n\n\\\n**Asks:**\n\n* Introductions to small businesses (especially within law, healthcare, real estate, and childcare) would be greatly appreciated.",
        "url": "https://www.ycombinator.com/launches/SWv-async-specialized-ai-agents-that-automate-costly-work-for-small-businesses",
        "votes": 8,
        "created_at": "2026-08-10T17:30:00.428Z"
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  {
    "id": 30655,
    "name": "Frizzle",
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    "long_description": "Frizzle uses AI to grade handwritten math assignments for teachers and transform them into rich analytics and differentiated assessment to help personalize instruction for every student. Teachers spend over 10 hours a week or 25% of all their work grading - Frizzle does it in minutes. Frizzle is the most valuable piece of software for teachers ever, as it eliminates the most time-consuming part of their workflow so they can focus on teaching.\r\n\r\nFrizzle shifts education from waterfall to agile learning. Instead of waiting for end-of-unit tests to discover gaps, teachers get continuous, real-time insight into student thinking from everyday work. Feedback becomes immediate, instruction adapts weekly, and learning iterates (measure, adjust, improve) so every student progresses faster with less teacher burnout.\r\n\r\nFrizzle was named an official White House AI Education Partner alongside OpenAI and Meta: https://www.whitehouse.gov/edai/.\r\n\r\nFrizzle was co-founded by Abhay Gupta and Shyam Sai, who met in high school over 10 years ago.\r\n",
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    "industry": "Education",
    "subindustry": "Education",
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        "full_name": "Abhay Gupta",
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        "full_name": "Shyam Sai",
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        "founder_bio": "Co-founder and CTO of Frizzle! Previously a Machine Learning Engineer at Microsoft, Meta, and Google Life Sciences. Bachelor’s in Artificial Intelligence and Computer Science from Carnegie Mellon University. Co-founded the Midwest Math Circle, one of Chicagoland’s longest running math circles that has served hundreds of students over 10 years. Also holds a patent for his work in LLM applications.",
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      {
        "id": 93211,
        "title": "Frizzle 📝 AI Grading for Math Teachers",
        "tagline": "Frizzle uses AI to grade math worksheets and assignments for teachers",
        "body": "Hey everyone 👋\n\nWe’re [Abhay](https://www.linkedin.com/in/abhaygupta-/) and [Shyam](https://www.linkedin.com/in/shyamsai/) – co-founders of [Frizzle](https://www.frizzle.com/).\n\n**TL;DR**\n\n**Frizzle uses AI to instantly grade math worksheets and assignments for teachers**. Teachers have already graded thousands of worksheets and saved hundreds of hours using Frizzle! \n\n**Frizzle is an official [White House](https://www.whitehouse.gov/edai/) partner for bringing AI into education!**\n\n**Ask**: Can you introduce us to any math teachers, schools, or districts that would benefit from Frizzle? Contact us at [abhay@frizzle.com](mailto:abhay@frizzle.com)\n\nhttps://www.youtube.com/watch?v=0Zx_mCw8soI\n\n**❌ The Problem**\n\nTeaching is one of the most important jobs in society, yet teachers are among the most overworked professionals. Many work 50–70 hours a week, often grading late into the night and on weekends.\n\nAcross the U.S., there’s a national teacher shortage where 1 in 8 teaching roles remain unfilled. Superintendents and principals consistently mention that teacher time is now their most valuable resource. But teachers lose 10+ hours every week just grading math assignments, time that could be spent supporting students. 25% of all their work is spent grading!\n\n![uploaded image](/media/?type=post&id=93211&key=user_uploads/332377/7654e581-e8c4-4cf2-b330-6f78bddfd521)\n\nExisting grading tools handle essays or multiple-choice questions, but fail with math, especially handwritten step-by-step work. Classrooms are also moving back to pen and paper, but teachers are left with more paperwork than ever and no scalable way to manage it.\n\nThis has created a massive bottleneck in the classroom, adding to burnout and pushing talented teachers out of the profession.\n\nUntil now…\n\n**✅ Our Solution**\n\nAt Frizzle, we’re a team of former math nerds and AI experts building the first system that actually handles math grading at scale.\n\nTeachers simply upload or snap a photo of student work and instantly get back:\n\n* **Accurate grading** ✏️: Every step graded in seconds, whether it’s handwritten or typed.\n* **Actionable insights** 📊: A class dashboard highlighting where each student is struggling across assignments.\n* **Student-friendly feedback** 🧑‍🏫: Clear explanations that help students learn from their mistakes, not just see a score.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfy5uI9ZGxksf8CXCUL5xLmMc9MdRY5IM3WmuBqz9HFynZMzwCudL_y5ydsK41z55RDJksFqnHEEw3aU48mgTUx4bm_VXnAZlSS7pbenqW9JOQIef6oQIZ4IWpTAdQ_LcW_Nh8oJg?key=q7LswlE0gngKWIM4LuJkjQ)\n\nFrizzle eliminates the 10–15 hours a week teachers lose to grading, giving them time back to focus on what matters most - teaching.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any math teachers that would benefit from an extra 10 hours in their week?\n* Do you know any schools or districts that would benefit from saving their teachers 10+ hours a week?\n* Have you scaled B2B SaaS into K–12 districts or worked closely with educators?\n\n👉 Contact us at [abhay@frizzle.com](mailto:abhay@frizzle.com)\n\nYour help can make a huge difference in bringing Frizzle to more teachers. Thank you!\n\n**👬 The Team**\n\nAbhay and Shyam have been best friends and roommates since high school, where they met 10 years ago at the Illinois Math and Science Academy.\n\nAbhay (CEO) has helped scale an e-learning platform to millions in revenue and was previously a Product Manager at Coinbase, where he drove $50M in incremental revenue. He holds a Bachelor's in Computer Science and Economics from Vanderbilt University.\n\nShyam (CTO) was a Machine Learning Engineer at Microsoft, holds a patent in LLM applications, and co-founded the Midwest Math Circle, which has served hundreds of students for more than a decade. He holds a Bachelor’s in Artificial Intelligence and Computer Science from Carnegie Mellon University.",
        "url": "https://www.ycombinator.com/launches/OFP-frizzle-ai-grading-for-math-teachers",
        "votes": 206,
        "created_at": "2025-08-20T23:02:21.654Z"
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    "name": "Proliferate",
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    "website": "https://proliferate.com?utm_source=yc&utm_medium=referral&utm_campaign=profile",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're a dense, small team in SF building the open source platform for working with agents.",
    "one_liner": "Do your life's work with agents",
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    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1749673205,
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        "full_name": "Pablo Hansen",
        "title": "Founder",
        "founder_bio": "I finished my master's degree in AI at 19 and was then hire #1 at Onyx (YC W24) for a year before starting Proliferate (fka. Keystone).",
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        "linkedin_url": "https://linkedin.com/in/pablo-hansen",
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        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/proliferate/jobs/OgpCKYJ-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
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        "title": "The 9 most sought-after startups from YC Demo Day | TechCrunch",
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        "title": "Proliferate: the open source company coding agent",
        "tagline": "Build yourself an AI coworker that actually takes work off your plate",
        "body": "**TL;DR:** Local coding agents can't do real end-to-end work at your company. Proliferate is the open-source, self-hostable platform for building company-specific background agents that can. Agents get their own sandboxes with secure access to your internal services, trigger from any event, and expose a live, multiplayer preview so your team can verify the work together. MIT licensed.\n\n**Star the repo:** <https://github.com/proliferate-ai/proliferate>\n\n**Get started self-hosting:** <https://docs.proliferate.com/>\n\n**Sign up for self-serve waitlist:** <https://proliferate.com/waitlist>\n\n**The Problem**\n\nCoding agents today hit a wall the second they need to do real work. Fixing an actual bug means querying your staging database, reading internal Datadog logs, hitting proprietary APIs. You can't hand those keys to a generic cloud SaaS agent.\n\nSo you run agents locally. But that ties up your machine, forces you to babysit a terminal, and traps all the context on your laptop where nobody else can see it.\n\nThe most forward-looking engineering orgs- Stripe, Ramp, coinbase- spent months building custom infrastructure to solve this. Some are now merging 50+% of their PRs with agents.\n\nProliferate open-sources that infrastructure so every team can do the same.\n\n**What teams use Proliferate for:**\n\n* **On-call triage:** Sentry exception fires → agent reproduces the issue in a cloud sandbox → writes a fix → shares a live preview link in Slack for the team to verify.\n* **Flaky test sweeps:** Cron job runs overnight → agent isolates flaky CI tests by running them 1,000x → PR is waiting by morning.\n* **Mass migrations:** Bump React versions or internal API contracts across 50 microservices and fix the resulting breaking changes- automatically.\n* **Team verification:** Agent gets a feature 80% done. Instead of reading the diff, the team clicks a live preview URL. A developer jumps into the shared terminal to fix the last failing test. Feature is merged.\n\n**Demo: [https://youtu.be/H84HrOJx4QM](https://youtu.be/H84HrOJx4QM)**\n\n**What makes it different**\n\nEvery agent gets its own sandbox with your Docker containers running, secure access to your internal services via our action catalog, and can be configured to respond to any trigger. Your code and data stay in your control- fully self-hostable, MIT licensed.\n\nAnother large difference comes with how your team interacts with the work. Reading AI-generated code is tedious. So every session produces a live UR. Sessions are multiplayer. Anyone on the team can jump in, check logs, or steer the agent in real-time.\n\n**Our ask:** ⭐ Star the repo- we just open-sourced it. <https://github.com/proliferate-ai/proliferate>\n\nIf you're tired of handholding local agents and want to move them to the background with real infrastructure access, reach out. We're working closely with a handful of teams to help improve their engineering velocity and adoption of AI. [Book a demo](https://cal.com/team/proliferate/demo) or email [pablo@proliferate.com](mailto:pablo@proliferate.com).",
        "url": "https://www.ycombinator.com/launches/PVw-proliferate-the-open-source-company-coding-agent",
        "votes": 31,
        "created_at": "2026-02-23T14:58:55.138Z"
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    "name": "Stockline",
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    "long_description": "\r\nStockline is an AI-native ERP for food wholesalers. Our agents eliminate human labor for repetitive tasks, starting with order entry. \r\n\r\nOur goal is to replace clunky software with the next generation of ERPs, built with AI employees at their core.\r\n\r\nTeam is 2 Polytechnique alums who dropped out of Stanford and MIT. \r\nMariem is daughter of the fish industry and Moncef started coding and building softwares at 13. ",
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    "industry": "B2B",
    "subindustry": "B2B",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/stocklineai/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 2131140,
        "full_name": "Mariem Ould Ismail",
        "title": "Founder/CEO",
        "founder_bio": "My father is a fish wholesaler. In high school, I spent my summers helping him and saw him waste hours every day on manual paperwork. That’s where Stockline comes from.\n\nI made it a personal mission to disrupt old clunky ERPs with AI.\n\nMIT dropout. Master’s in Applied Mathematics from École Polytechnique, France’s top engineering school. ",
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        "full_name": "Moncef DJAFRI",
        "title": "Founder/CTO",
        "founder_bio": "Stanford dropout | Polytechnique alumn\nBuilding",
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      {
        "id": 92425,
        "title": "Stockline : AI-native ERP for food wholesalers",
        "tagline": "No more retyping orders. No more time spent on admin. ",
        "body": "# **Hi!**\n\nWe’re **Moncef DJAFRI** and **Mariem Ould Ismail** from 🇫🇷 Paris, and we’re building **Stockline**.\n\n---\n\n# **TL;DR**\n\n**Stockline** is an **AI-native ERP** for food wholesalers — automating manual order entry and replacing their clunky software from the 90s.\n\n![uploaded image](/media/?type=post&id=92425&key=user_uploads/2131140/29e05c95-954b-4073-9a4c-32fa93e0e7a2)\n\n---\n\n# **WHY WE CARE**\n\nMariem’s father is a fish wholesaler. 🐟 Back in high school, she spent her summers helping him — and watched him waste hours every day retyping orders, chasing invoices, and drowning in paperwork. ✏️\n\nThat’s where the idea was born.\n\nMariem and Moncef met at **École Polytechnique** in France, where we went through years of military training, rigorous math, and team projects.\n\nWe were both admitted to **MIT** and **Stanford**, but chose to focus on **Stockline’s mission**: bringing tech to an industry long overlooked by digital transformation.\n\n---\n\n# **THE PROBLEM**\n\nMost food wholesalers still rely on software from the 90s.\n\nOne symptom among many: **Orders come in through WhatsApp, SMS, email, or phone calls — and get retyped manually into their ERP.**\n\nAdmin work takes over.\\\nHeadcount grows just to keep up with repetitive tasks.\\\nFrom quoting to delivery, everything is **manual, error-prone, and slow**.\n\nThey barely use data. **Prices are set by instinct**, with no visibility into stock or margins. And most tools out there just don’t match how they actually work.\n\nThis leads to:\\\n→ Mistakes\\\n→ Tight margins\\\n→ Food waste\n\n---\n\n# **THE SOLUTION**\n\n**Stockline replaces outdated ERPs with AI at the core.** The game-changer? **No more manual data entry**.\n\nOur AI captures orders from every channel — **WhatsApp, SMS, email, even phone calls** — and feeds them straight into one unified system.\n\nWe centralize:\\\n• Communication (WhatsApp, emails, SMS…)\\\n• Operations (billing, inventory, CRM…)\n\n**All in one platform. Admin disappears.**\n\nOnce you have all the data in one interface, the sky’s the limit! And the broader vision is to rethink ERPs entirely so that wholesalers finally get to focus on what really matters:\\\n→ Their products\\\n→ Their customers\\\n→ Their margins\n\nhttps://youtu.be/TsbPuwGhZhs?si=u5U0orZ_aIgIVbJE\n\n# **OUR ASK**\n\n👀 **Intros in the US or EU**\\\nKnow **a food wholesaler, supplier, restaurant, supplier, fish market, butcher, supermarket**…?\\\nAn intro would mean a lot.\n\n🧠 \\*\\*ERP experience?\\*\\*\\\nIf you’ve worked with ERPs or know the market (Europe or US), we’d love to chat.\n\nLet’s fix food logistics together!\n\n📧 **Email us:** [contact@stockline.ai](mailto:contact@stockline.ai)\n\n📱 **Text us:** +1 627 268 9935 // 0033 652266829 (WhatsApp)\n\n💻 **Ask for a demo**: https://stockline.ai",
        "url": "https://www.ycombinator.com/launches/O2j-stockline-ai-native-erp-for-food-wholesalers",
        "votes": 57,
        "created_at": "2025-07-28T18:38:46.566Z"
      }
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    "name": "Panoptive",
    "slug": "panoptive",
    "former_names": [
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    "website": "https://www.panoptive.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We turn unstructured monitoring data - monitoring visit reports, EDC data - into structured deviation, safety, and quality findings for human review. Panoptive generates an audit-ready oversight trail as a natural byproduct. \r\n\r\nThe platform aggregates findings and identifies systemic patterns across sites and subjects before they compound, and tracks every finding through decision, follow-up, and resolution.",
    "one_liner": "The continuous oversight engine for clinical trials",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753389326,
    "tags": [
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      "Biotech",
      "Infrastructure",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/panoptive",
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        "body": "### **TL;DR**\n\nAgentHub is an implementation-agnostic platform for evaluating AI agents in realistic simulation environment sandboxes. Use cases that we support include computer-use, browser, conversational, and tool-use agents. We help teams test, trace, track, and improve agent behavior at scale before deployment, closing the gap between vibe checks and real-world performance.\n\n👉 Check us out [AgentHubLabs.com](http://AgentHubLabs.com)\n\n💬 If you’re building agents, training models, or can connect us to someone who is, we’d love to [chat](https://calendar.google.com/calendar/appointments/schedules/AcZssZ1FO0fw7yHEhAAHWoiyCOS2umxQTuat9bIUwOOzomfV4D8bxhKakigP0nglXPAQh-4qvrYwukiM)!\n\n---\n\nhttps://www.youtube.com/watch?v=1gPVYcphmmY\n\n### **🧩 The Problem**\n\nLLM-based agents often **pass simple evals at a small scale and in specific cases** but **fail in deployment**. They hallucinate tool use, misuse APIs, or follow an inefficient (or incorrect) reasoning trajectory that isn’t captured in standard benchmarks. There’s no standard way to evaluate agents beyond prompt-based tests - especially across **tool use**, **UI interactions**, and **multi-step reasoning**.\n\n---\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/1435098/77c2d173-7349-41e4-90a2-e2b69712ede5)\n\n### **✅ The Solution: AgentHub**\n\nAgentHub lets you **simulate real-world environments** and **evaluate agents end-to-end** using structured tasks, traces, and grading:\n\n* 🧪 **Multi-domain, customizable environments for**: e-commerce, CRM, filesystem, browser agents, dashboards, and more\n* 🕵️ **Full tracing** in standardized OpenTelemetry format: capture every LLM/tool call, decision point, and UI step\n* 📊 Evaluation that’s easy to plug and play: LLM, human-in-the-loop, and rule-based grading + custom metrics at the task, step, or tool level\n* 🛠️ **Debug and iterate fast**: See exactly where agents fail, and improve reasoning or control loops\n* 🧠 **Automated Insights**: Get automatic insights into failure modes and auto-generate suggested fixes\n\nWhether you’re testing autonomous workflows, tool-using copilots, or browser agents, we give you a **sandboxed, realistic playground** to evaluate in before you ship.\n\n---\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/1435098/a2b71d28-7310-4423-ac4d-1c717f244af4)\n\n### **🕵️ Who We Are**\n\nYoussef was previously a tech lead on the Foundation Model Evaluation team at Apple and studied CS at CMU.\n\nSandra has been an engineer at multiple startups, Google, and Meta, and studied CS and design at MIT.\n\nWe’ve been friends since a few years ago through a summer spent in Seattle and are obsessed with building the missing critical infrastructure to help teams **evaluate, debug, and trust** their agents.\n\n---\n\n### **🙌 How to Help / Get Involved**\n\n* Learn more and book a demo: [AgentHubLabs.com](http://AgentHubLabs.com)\n* We’re looking for teams and labs working on agents in:\n  * tool-use\n  * browser automation\n  * conversational chat\n  * and computer-use\n* Have an eval challenge? We’ll help you simulate it.\n* Use agents in prod? It’d be bananas to not test them on AgentHub first 🍌\n\n![uploaded image](/media/?type=post&id=92664&key=user_uploads/89898/9cf2b39b-039e-45a4-b4a6-969310c4378e)\n\n",
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        "body": "Hey everyone 👋\n\nWe’re [Tim](https://www.linkedin.com/in/timcherkasov/) and [Artur](https://www.linkedin.com/in/artur-romanov/) – co-founders of [Trace](https://www.trace.so/).\n\n**📙 TL;DR**\n\nTrace is a workflow automation platform that routes tasks to the right agent – human or AI.\n\nBy connecting to tools like Slack, Jira, and Notion, Trace breaks down existing workflows, spots automation opportunities, and embeds AI agents to handle repetitive tasks – without disrupting how your team works. More than 30 companies already use Trace to automate gruntwork.\n\n**Ask**: If you’re currently working in operations, product, or support teams, we’d love to talk. Email us at [founders@trace.so](mailto:founders@trace.so) ‼️\n\nhttps://youtu.be/RfJerH9r2-8\n\n**❌ The Problem**\n\nMost teams lose ≈ 40% of their productivity on repetitive manual tasks. \n\nRoutine work like chasing updates, filling docs, coordinating teams, and handling support drains hours, breaks focus, and slows execution.\n\nMeanwhile, employees aren’t sure which tasks can be automated, which agents to use, or which tools to trust – problems made worse by fragmented data and lost context.\n\nEven worse, most AI tools work alone, disconnected from both teams and the people using them.\n\n✅ **Our Solution** \n\nTrace is an AI-native workspace that breaks down existing workflows, assigns repetitive tasks to AI agents, and routes the rest to the right people.\n\nWith Trace, AI works across your entire team – passing tasks between agents and people without disrupting operations.\n\nIt respects permissions, learns from past and ongoing work, tracks progress with a full audit trail, and lets you review, edit, or reroute tasks in a simple interface.\n\n**Connect and Prompt Away**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/794551f2-0e27-4ccf-a406-326622b90d15)\n\n**Create, Curate and Replicate**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/75f7fd26-b38a-4420-b7dc-1a7fe5bea7e6)\n\n**Route and Execute**\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/4490fdd4-1ff7-47dc-887b-cab413a3b51c)\n\n**🦄 How It Works**\n\nHow? – Through a company wide context engine!\n\nBy integrating with your systems, our context engine analyzes your internal wiki, activity logs, and people data to understand your team’s work.\n\nTrace then builds a unified index of your company and provides rich context for every new workflow, making it easy to route tasks between people and AI agents.\n\nWe’re on a mission to build CompanyOS – a cognitive layer that ingests internal signals and drives intelligent action across every team.\n\n**🙏 Our Ask**\n\nReady to ditch the busywork? – Please try [demo.trace.so](http://demo.trace.so) for free and tell us which workflows you’ve tried to automate.\n\nIf your team is suffering from repetitive manual workflows, or you work in operations, product, or support roles, we’d love to talk.\n\nEmail us [📨 founders@trace.so](mailto:%F0%9F%93%A8founders@trace.so) or [book a call](https://calendly.com/trace_so/20min) ☎️\n\n**👥 The Team**\n\nTim and Artur met at university and have worked together on countless projects, papers and startups over the last 10 years.\n\nTim (CEO) – Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.\n\nArtur (CTO) – Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/b774ddc3-03f9-4008-b443-bef97237826e)\n\nps: Thank you for taking the time to read this and show your support ❤️\n\n![uploaded image](/media/?type=post&id=92892&key=user_uploads/1016719/457742b1-bb72-48ff-9d4c-029b6bc8b033)\n\n",
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        "full_name": "Alessia Paccagnella",
        "title": "Founder",
        "founder_bio": "Cofounder @ VibeFlow (S25).\nPrev. Software Engineer @ Esri (world's leading developer of geographic information systems (GIS) software - I led the design and development of a new visual programming tool for 3D procedural modelling, thought to make procedural creation accessible to people without coding experience). \nMSc in Computer Science ETHZ (#4 World).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alepacca",
        "x_url": "https://x.com/alessiapacca",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d191544f1ad72644c0d0c0c7c85c7d5709cf4deb.jpg"
      },
      {
        "user_id": 2657277,
        "full_name": "Elia Saquand",
        "title": "Founder",
        "founder_bio": "Co-founder of VibeFlow (S25). Prev. Founding Engineer at a VC-backed startup building prompt-to-graph tools for non-technical users. Research in Clinical AI at Stanford, built high-speed perception systems at Sony AI, and accelerated AlphaFold training by 10x at InstaDeep while maintaining 95% accuracy (NeurIPS ‘22). MSc in Data Science from ETH Zürich. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elia-saquand-bb977b18a/",
        "x_url": "https://x.com/eliasaquand",
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    "news": [
      {
        "title": "Vibeflow secures $500K pre-seed funding for full-stack app platform / AI World",
        "url": "https://aiworld.eu/story/vibeflow-secures-500k-pre-seed-funding-for-full-stack-app-platform",
        "date": "Sep 20, 2025"
      },
      {
        "title": "Turning Vibe Coding into Production-Ready Development: Inside Elia Saquand and Alessia Paccagnella's Journey to build VibeFlow",
        "url": "https://www.every.io/blog-post/turning-vibe-coding-into-production-ready-development-inside-elia-saquand-and-alessia-paccagnellas-journey-to-build-vibeflow",
        "date": "Sep 19, 2025"
      },
      {
        "title": "6 Exciting AI Vibe Coding Tools From YC Demo Day Summer 2025 Startups - Business Insider",
        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-summer-vibe-coding-ai-startups-2025-9",
        "date": "Sep 17, 2025"
      },
      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 03, 2025"
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    ],
    "launches": [
      {
        "id": 92712,
        "title": "VibeFlow: Full-stack prompt to app with visual workflows",
        "tagline": "We help no-coders build and reliably evolve full-stack web apps from prompts by making backend logic visual and maintainable.",
        "body": "**TL;DR**\n\nWe are Lovable, but better because the backends we generate actually work and are easy to debug and evolve.\n\nhttps://youtu.be/bjpR5A-Ib6k\n\n## Who We Are\n\nWe're Alessia and Elia, Computer Science and Data Science graduates from Stanford and ETH Zürich. We've spent years as full-stack engineers building no-code tools that empower non-technical users to create complex systems. Now we're using that experience to help anyone become a full-stack developer through AI.\n\n## The Problem\n\nPrompt-to-app tools like Lovable are incredible at generating beautiful frontends, but they completely fall apart when you need real business logic, integrations, or debugging capabilities.\n\nHere's what every developer using these tools faces:\n\n* **Black box backends:** you can't see or understand what the AI actually built for your server-side logic\n* **Debugging nightmare:** when something breaks, you're stuck re-prompting the LLM and hoping it magically fixes the issue\n* **Integration hell:** you're forced to manually stitch together Lovable + n8n + Supabase + other tools, creating fragile workflows that break easily and are painful to maintain\n\nThis affects thousands of developers who want to build real applications but get stuck when they move beyond simple prototypes.\n\n## Our Solution\n\nVibeFlow transforms prompts into full-stack applications where every single component, frontend AND backend, is visible, understandable, and editable.\n\n### How it works:\n\n* **Visual Backend Editor:** See and edit your app's backend logic like you'd design a UI in Figma. You can edit visually or continue using prompts.\n* **Transparent AI Generation:** Unlike other tools, you can see and understand what the AI built, making debugging straightforward\n* **Powerful Integrations:** Built-in database and prewired service connections, no external tools required.\n* **All-in-One Platform:** Build, debug, deploy, and maintain everything in one cohesive environment\n\n## How We Got Here\n\nWe saw builders doing hacky workarounds, connecting n8n and Supabase to power Lovable frontends, creating Frankenstein apps where they didn't even own half the pieces. People were desperate for backend control but stuck with fragmented solutions.\n\n### Get in Touch\n\n* **Build your full-stack app with VibeFlow**: https://app.vibeflow.ai/\n* **Join our Discord**: https://discord.com/invite/Ctm2A2uEaq\n* **Book a 15-min call**: https://vibeflow.cal.com/founders/15min (we'll help you build something cool!)\n* **Newsletter**: https://vibeflow.ai\n\nReady to build full-stack apps that actually work? Try VibeFlow today and see the difference transparent AI development makes!\n\n![uploaded image](/media/?type=post&id=92712&key=user_uploads/1842260/003016ef-0945-43c2-a200-0dbc7bf703a4)\n\n",
        "url": "https://www.ycombinator.com/launches/O7M-vibeflow-full-stack-prompt-to-app-with-visual-workflows",
        "votes": 70,
        "created_at": "2025-08-04T19:05:49.267Z"
      }
    ]
  },
  {
    "id": 30703,
    "name": "Physical Turing",
    "slug": "physical-turing",
    "former_names": [
      "Riff",
      "GoRiff"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png",
    "website": "https://physicalturing.ai/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Physical Turing is a neo robot deployer. Our core tech lets us deploy any robot fast, and every deployment produces the real-world data we use to train our own intelligence.\r\n\r\nWe're starting by automating industrial inspection and security tasks, which have historically had labor shortages due to their safety risks.",
    "one_liner": "Next generation robot deployer",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1752283172,
    "tags": [
      "Robotics",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Industrials",
      "Manufacturing and Robotics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/physical-turing",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/physical-turing.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/physical-turing",
    "x_url": "https://x.com/rifflab",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c87367cd52d809c0b9a6f05ef79f3c162b4dd082.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    ],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2491351,
        "full_name": "Adith Reddi",
        "title": "Founder/CEO",
        "founder_bio": "Building Physical Turing | Berkeley CS, music producer (1M+ streams), AI whiz",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adithreddi/",
        "x_url": "https://x.com/adithreddi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf79654eb9926f610e9226cea25b3ce23786f144.jpg"
      },
      {
        "user_id": 2545325,
        "full_name": "Kenny Zhang",
        "title": "Founder/CTO",
        "founder_bio": "Building Physical Turing | Berkeley CS, Music Producer, Formerly @ Tencent, Amazon",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kenny-zhang-jinlin/",
        "x_url": "https://x.com/Zerkka0819",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f477208af46421413842cbf7e2345d5b82c4aa44.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92151,
        "title": "Riff – Cursor for music production",
        "tagline": "Riff is a music editor w/ superpowers — make music without needing extreme technical chops.",
        "body": "Hey YC!\n\nWe’re Adith and Kenny — the founders of Riff!\n\n# **TL;DR**\n\n[Riff](https://goriff.com) is a **music editor with superpowers** where experienced producers can be 10x more productive and hobbyists can delight in making music without needing technical chops.\n\n[**https://youtu.be/bjyjtr8-yz8**](https://youtu.be/bjyjtr8-yz8)\n\n# **Problem**\n\n**Slow**\n\n🖥️ ❌ Legacy music production software is clunky and weighed down by archaic UX.\n\n**Repetitive**\n\n🎧 ❌ Musicians sometimes spend hours making changes that should realistically happen in minutes. With legacy software, there is no high-signal way of getting your creativity down.\n\n**High skill barrier**\n\n🎸❌ The difficulty of existing tools blocks people with musical interest but no patience to learn complex audio engineering.\n\n# **Solution**\n\nRiff is an AI music editor meant to make music creation easier, yet still keeps the artist in charge.\n\n🤘 Add sounds in your style directly into the editor using AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/381a389e-ba7a-41c9-9954-b5994667ec53)\n\n🎵 Arrange sounds with AI\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/d7011ba4-8c5c-4c3b-b46c-0f73dedce6c2)\n\n# **Team**\n\nAdith and Kenny met at Berkeley through a music collective they started (now 1200+ artists large).\n\n🎹 Adith has been making music for \\~5 years, has 1M+ streams on Spotify, and is deep into audio AI.\n\n🥁 Kenny has been making music for \\~8 years, Ex-Tencent Ex-Amazon, and releases frequently on Spotify.\n\n# **Who’s it for?**\n\nIn the short run, we’re targeting aspiring musicians who are between entry level music software like GarageBand and BandLab. Very soon, we’ll have enough features that we can directly compete with FL/Ableton/Logic/Pro Tools and get experienced producers onboard.\n\n# **Our Asks**\n\n**If you answer yes** to any of these questions, would be great if you can **share this post** with your network:\n\n* Do you know someone who has always wanted to make music but finds the tools too hard?\n* Do you know professional artists who can sing/play instruments but do not know digital music production?\n\nYou can reach out to us here: [founders@goriff.com](mailto:founders@goriff.com) or 610-762-5102\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/0674ebe1-dc13-4e4a-9c79-5c4599a4829f)\n\nThanks for your time everyone!\n\nBest,\n\nAdith and Kenny\n\n![uploaded image](/media/?type=post&id=92151&key=user_uploads/2491351/a37461fa-e46b-4ef8-b5f6-a4f71352d3c7)\n\n",
        "url": "https://www.ycombinator.com/launches/NyJ-riff-cursor-for-music-production",
        "votes": 80,
        "created_at": "2025-07-15T14:10:27.207Z"
      }
    ]
  },
  {
    "id": 30710,
    "name": "Manufact",
    "slug": "manufact",
    "former_names": [
      "mcp-use",
      "Manufact (formerly mcp-use)"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png",
    "website": "https://manufact.com",
    "all_locations": "ZH, Switzerland",
    "long_description": "Manufact is the MCP cloud platform to get your product ready for Claude Connectors marketplace, ChatGPT / Codex plugins store and any AI agent that supports MCP.\r\nWe're the team behind mcp-use SDK, the open-source framework for building MCP Apps with 10k github stars and 10M+ downloads across python and typescript.\r\n\r\nIt's the fastest and most complete solution for production-ready MCP servers.",
    "one_liner": "Cloud infrastructure for MCP servers and Claude / ChatGPT plugins.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1752861544,
    "tags": [
      "Developer Tools",
      "B2B",
      "Open Source",
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "Switzerland",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/manufact",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/manufact.json",
    "year_founded": 2025,
    "city": null,
    "country": "CH",
    "linkedin_url": "https://www.linkedin.com/company/mcp-use/",
    "x_url": "https://x.com/manufact",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/mcp-use",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3838f80b214ed1fcda53a2778860e8be11cfdb0d.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 909674,
        "full_name": "Pietro Zullo",
        "title": "Founder/CEO",
        "founder_bio": "Building Manufact (formerly mcp-use) (S25). ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/pietrozullo",
        "x_url": "https://x.com/pietrozullo",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20b195400b407be674253b1353993e19ad6323b2.jpg"
      },
      {
        "user_id": 859771,
        "full_name": "Luigi Pederzani",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Manufact (fka mcp-use). \nPrev. Founding eng. @ Morgen (ETH spin-off AI startup used by teams at Spotify, GitHub, Linear, and Canva). \nLed a 12-engineer team to deliver $XXM projects @ Accenture Switzerland.\nMSc in Computer Science and Engineering from POLIMI (QS #1 IT, #5 EU, #13 World).\nFormer YouTube creator (150k subs, 15M+ views).\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luigipederzani",
        "x_url": "https://x.com/pederzh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/052187b02cbea99b02766098b2c86fcf33610ec4.jpg"
      }
    ],
    "jobs": [
      {
        "id": 97959,
        "title": "Developer Advocate & Partnerships (DevRel)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/4cyWd6S-developer-advocate-partnerships-devrel",
        "location": "San Francisco, CA, US / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 0.70%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 97962,
        "title": "Senior Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/Dh6PYP5-senior-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Devops",
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Microsoft Azure",
          "Google Cloud",
          "TypeScript"
        ]
      },
      {
        "id": 107000,
        "title": "Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/fWWRPrO-sales-development-representative-sdr",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107005,
        "title": "Founding Software Engineer (Product / MCP) ",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/ZyxwEJC-founding-software-engineer-product-mcp",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 116901,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/manufact/jobs/kp7OyFp-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $160K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "TypeScript"
        ]
      }
    ],
    "news": [
      {
        "title": "Manufact raises $6.3M as MCP becomes the ‘USB-C for AI’ powering ChatGPT and Claude apps | VentureBeat",
        "url": "https://venturebeat.com/infrastructure/manufact-raises-usd6-3m-as-mcp-becomes-the-usb-c-for-ai-powering-chatgpt-and",
        "date": "Mar 11, 2026"
      },
      {
        "title": "Make Something Agents Want — Humans Are No Longer The Customer",
        "url": "https://www.forbes.com/sites/dariashunina/2026/03/11/make-something-agents-want---humans-are-no-longer-the-customer/",
        "date": "Mar 09, 2026"
      },
      {
        "title": "The Most Promising Startups To Watch From YC Summer 2025 Batch: mcp-use",
        "url": "https://www.forbes.com/sites/dariashunina/2025/09/04/the-most-promising-startups-to-watch-from-yc-summer-2025-batch/",
        "date": "Sep 04, 2025"
      }
    ],
    "launches": [
      {
        "id": 107462,
        "title": "Manufact: MCP Cloud for your Claude Connector & ChatGPT Plugin",
        "tagline": "Get your product on Claude and ChatGPT and usable by AI Agents ",
        "body": "Hey everyone, we're the team behind [**mcp-use**](https://github.com/mcp-use/mcp-use), the open-source MCP framework with **10k GitHub stars** and **\\~10M+ downloads**.\n\n[**Manufact**](https://manufact.com/) is the cloud platform that gets your product onto the **Claude Connectors marketplace** and the **ChatGPT (Codex) Plugin Store** via MCP.\n\n<https://youtu.be/Pyh_3tKDXuU>\n\n## The problem\n\nPaul Graham recently tweeted: \"_AI apps are the new browsers_\". \\\nYour customers now do most of their work inside Claude and ChatGPT, and the connector marketplaces are a new distribution channel: someone installs your product in one click and uses it inside the chat they already live in.\n\nWe listed Manufact on Claude and saw a **surge of signups** that is still going on now.\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/65a0b3fd-75cf-4eea-a2ee-02590e3256ba)\n\nBut shipping a production-ready MCP server is its own project:\n\n* MCP is a protocol evolving fast .\n* Auth is easy to get [wrong](https://manufact.com/blog/authentication).\n* Every client behaves differently.\n* The stores have their own conformance requirements, and review can block you for weeks.\n\n## How Manufact works\n\nManufact is the cloud built specifically for MCP:\n\n* **Push to deploy.** Connect the GitHub App once and [every commit ships a new version of your MCP server](https://manufact.com/platform/hosting), with a preview deployment for each PR.\n* **Test every MCP tool and MCP-UI widget** in the [cloud inspector](https://manufact.com/platform/cloud-inspector).\n* **Know the moment your MCP breaks** in ChatGPT or Claude with [automatic cross-client testing](https://manufact.com/platform/cross-client-testing).\n* [**Publishing checklists**](https://manufact.com/platform/publishing-checks) so your MCP app doesn't get stuck in marketplace review.\n* **Auto-generated submission assets** (logo, copy, screenshots).\n* **Analytics, session replay, and traces** built in for MCP, so you can see [how it's used and why tools fail](https://manufact.com/platform/analytics).\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ee30e016-9fb5-4958-890f-74febc54de3c)\n\n## Your product's UI inside the chat\n\nA plain MCP server lets the agent read and write your data. \\\nAn **MCP App** goes further: it's an MCP server that can return a UI as the result of a tool call, so your actual product interface renders inside Claude or ChatGPT. The user sees your charts and forms instead of a wall of text.\n\nFerruccio Balestreri (Amplitude) [put it well](https://x.com/0xferruccio/status/2028966278971670979):\n\n> since mcp ui was released in claude we got a 2x boost in retention.\n\nWith the [mcp-use SDK](https://github.com/mcp-use/mcp-use) you write a normal React component, drop it in, and it registers as an MCP UI resource automatically.\n\n## Backstory\n\nWe've been building on MCP since the protocol shipped. It started with the mcp-use SDK, the full-stack framework for MCP servers and apps. We kept watching companies struggle to take those servers to production, so we built the cloud for it (mcp-use is to Manufact what Next.js is to Vercel).\n\nManufact is now the **#1 recommended deployment option in OpenAI's docs.** \n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/ddba2350-67c4-43d5-8150-30847d4375a2)\n\nWe've helped startups from recent YC batches like **AgentMail** and **Item** get onto the Claude Connectors marketplace, and larger companies in finance, insurance, and marketplaces run their MCP apps on Manufact in production.\n\n## Our asks\n\n1. Have an MCP server? **Deploy it on [Manufact](https://manufact.com/)**.\n2. Thinking about building an MCP App? [Copy our prompt for agents](https://manufact.com/prompt.md) and your coding agent will guide you.\n3. Trying to get listed on the marketplaces? [Book a call with us](https://cal.com/team/manufact/chat). We have publishing checks and direct contacts on the MCP teams at Anthropic and OpenAI.\n\nHope to see your MCP on [manufact.com](http://manufact.com), or that you at least learned something new. 🙂\n\n![uploaded image](/media/?type=post&id=107462&key=user_uploads/859771/685643a6-ecd5-42b4-b55f-ec394967ca57)\n\n",
        "url": "https://www.ycombinator.com/launches/RxG-manufact-mcp-cloud-for-your-claude-connector-chatgpt-plugin",
        "votes": 47,
        "created_at": "2026-07-28T14:55:15.055Z"
      },
      {
        "id": 92418,
        "title": "Manufact (mcp-use) - Build and deploy MCP Servers for AI Agents & MCP Apps for ChatGPT / Claude users",
        "tagline": "Create MCP servers/apps in minutes, connect your GitHub repo, and make them immediately available to AI agents and ChatGPT / Claude.",
        "body": "### **TL;DR**\n\n[Manufact](https://manufact.com) is the MCP cloud for dev teams to ship MCP Apps and Servers in production. Connect a GitHub repo and Manufact handles deployment, security, observability, and scaling, so teams can ship in minutes instead of weeks.\n\nOne codebase, deployed everywhere users and agents already live: the ChatGPT Apps Store, Claude Connectors, Gemini, Cursor, Claude Code, and more.\n\nWe're also the creators of [mcp-use SDK](https://github.com/mcp-use/mcp-use), the most popular high-level MCP framework for building MCP Apps and Servers.\\\n(mcp-use SDK is to the Model Context Protocol SDKs what Next.js is to React!)\n\nIt’s open-source and used by developers at 20% of US500 and companies like 6sense, Elastic, IBM, Innovacer, Intuit, NVIDIA, Oracle, Red Hat, Tavily, and Verizon are building with us.\n\n### **The ask**\n\nIf you're building MCP Apps or Servers, or you know someone who is, we'd love to talk.\n\n<https://cal.com/team/manufact/chat> \\\nor shoot a message to us: +1 (628) 899-2498 \\\nor [founders@manufact.com](mailto:founders@manufact.com)\n\n### **Our story**\n\nWhen MCP came out, we couldn't believe such a powerful protocol was locked into IDEs and Claude Desktop.\n\nSo we built mcp-use, the open source framework that lets any developer build MCP Apps and Servers in code, in a structured and composable way.\n\nIt got adopted fast: 7M+ downloads across Python and TypeScript, almost 10k GitHub stars, and dev teams at top companies shipping with it.\n\nBut OSS is only half the story. Once teams had something working, they hit the wall every infra team knows: deployment, auth, secrets, observability, scaling. Stitching that together for MCP is a multi-week project. That's what Manufact solves.\n\n### **Make something agents want**\n\nMCP unlocks something most products have never had access to before: real estate inside ChatGPT and Claude.\n\n800M+ users already spend their day in those chats. \\\nWith MCP, a product can show up there as a native app or connector, with no separate UI to build, no app to install, no new login flow. \\\nThe user just asks, and your product does the work.\n\n### **Problem**\n\nThe catch is that \"build once, ship everywhere\" is its own infra problem. ChatGPT Apps, Claude Connectors, Gemini, and the long tail of agent surfaces (Cursor, Claude Code, Codex, OpenAI Agents, Mastra, LangChain, Vercel AI SDK) each have their own quirks, auth flows, and submission requirements. Manufact lets you build one codebase and ship it to all of them.\n\n### **What Manufact does**\n\nConnect your MCP repo once. Every push auto-deploys.\n\n1. **Build:** Scaffold a full MCP App or Server with _npx create-mcp-use-app_ or drop in existing MCP code unchanged.\n2. **Deploy:** GitHub App connects once. Every push auto-deploys to Manufact Cloud. Preview URL per branch. Custom domains with SSL handled.\n3. **Publish.** Get your app in front of users in the ChatGPT Apps Store and Claude Connectors. Submission assets, marketplace checklists, and an embeddable chat widget for your own site, docs, or campaign pages.\n4. **Iterate.** Cloud Inspector debugs from any browser against real clients. Swap models. Run evals on every deploy.\n5. **Monitor.** Analytics, session replay, JSON-RPC traces, and alerts on regressions, so you catch issues before users do. Less than 60 seconds from _git push_ to a live MCP App or Server, available across ChatGPT, Claude, Gemini, and any agent surface that speaks MCP.\n\n### **Ask**\n\nDo you know anyone already using MCP servers internally or building products powered by AI agents?\n\nFor the first few companies we will personally create/integrate MCP servers you need, have everything running through our platform, either on cloud or your own infrastructure. We even help you integrate our SDK into your code.\n\nWhat do you think? Can we help you?\n\nBook a call: <https://cal.com/team/manufact/chat>\n\nShoot a message to us: +1 (628) 899-2498 or [founders@manufact.com](mailto:founders@manufact.com)",
        "url": "https://www.ycombinator.com/launches/O2c-manufact-mcp-use-build-and-deploy-mcp-servers-for-ai-agents-mcp-apps-for-chatgpt-claude-users",
        "votes": 85,
        "created_at": "2025-07-24T17:55:36.172Z"
      }
    ]
  },
  {
    "id": 30713,
    "name": "Motives",
    "slug": "motives",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccc0035baccfcafd8c4eccd692ca8198963efca.png",
    "website": "https://motives.ai/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Motives is a team of AI agents that runs qualitative research projects for consumer brands: moderating and analyzing video interviews to help brands understand consumer preferences and test new ideas, in hours instead of weeks. \r\n\r\n",
    "one_liner": "Consumer focus groups run by AI",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Marketing",
    "launched_at": 1752263741,
    "tags": [
      "B2B",
      "Marketing",
      "Market Research",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Marketing"
    ],
    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/motives",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/motives.json",
    "year_founded": null,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/96694490/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ccc0035baccfcafd8c4eccd692ca8198963efca.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1153026,
        "full_name": "Sean Conley",
        "title": "Founder/CEO",
        "founder_bio": "Building the best way to understand consumers. Previously launching AI tools at Google, Dataiku, TrueLayer. Started professional life as a researcher at GiveWell.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sean-conley-397b69b8/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c6310b686a0bf49fb24c675aa6649fe8e4b0de2.jpg"
      },
      {
        "user_id": 651131,
        "full_name": "Sam Stoll",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Motives. Ex-Palantir.\nBuilding the best way to understand consumers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sam-stoll-02ab1228/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a642834dbe840605902e4997f7cb1f4aec3f0827.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92560,
        "title": "Motives - Qualitative consumer research run by AI",
        "tagline": "We use AI agents to run focus groups for consumer brands",
        "body": "Motives is a team of AI agents that runs qualitative research for consumer brands. Running a focus group can cost $20k+ and take 1-2 months to recruit participants, interview them, and analyze the results - Motives AI runs that whole process in 1-2 days.\n\n**The problem**\n\nMarketing teams thrive on understanding their customers, with large brands spending $100mn/year on consumer research. Today they choose between surveys, which are fast and affordable but shallow, and focus groups or in-depth interviews, which can cost tens of thousands of dollars and take weeks or months.\n\n**The solution**\n\nWe’ve built AI agents that can plan, run, and analyze consumer interviews, giving marketing teams deep qualitative insights in days instead of months.\n\nhttps://youtu.be/dHFtzfFaRKg\n\nAsk a research question, and get results in hours - here’s how it works:\n\n* Customers chat with our AI agent to describe their research questions or the concepts they need to test, and our AI builds a research plan. \n* Our AI then recruits relevant people from our global panel network and interviews them over video.\n* The AI automatically analyzes the interviews and generates a report with actionable insights. \n* Customers can view specific video highlights and chat with our AI to answer follow-up questions.\n\n![uploaded image](/media/?type=post&id=92560&key=user_uploads/1153026/b6befb62-7947-4b2a-bc94-fd9caf7d4946)\n\n**Results**\n\nOur customers include some of the biggest consumer brands in the US and Europe - check out our [case study](https://www.motives.ai/posts/motives-wild) about how Unilever’s recent acquisition Wild has been using Motives to test new packaging concepts.\n\n**Who we are**\n\nSean (CEO) ex-PM and Growth at Google, Dataiku, and Truelayer\n\nSam (CTO) ex-Palantir software engineer\n\nWe’ve been friends since our undergrad days at Oxford. From our own product development backgrounds we know how difficult it is to learn what your customers really want - so we’re building a better way, focusing on helping marketing teams at consumer brands since they feel the pain on the largest scale.\n\n**Want to know more?**\n\nNeed to understand your customers better? Know marketing or insights teams that could use faster, more scalable research?\n\nCheck out our [website](https://www.motives.ai/) to book a demo, or reach out directly to [sean@motives.ai](mailto:sean@motives.ai)\n\n![uploaded image](/media/?type=post&id=92560&key=user_uploads/1153026/ca2e647e-01df-4706-a78d-f2de00ee2fc8)\n\n",
        "url": "https://www.ycombinator.com/launches/O4u-motives-qualitative-consumer-research-run-by-ai",
        "votes": 13,
        "created_at": "2025-07-30T05:28:53.540Z"
      }
    ]
  },
  {
    "id": 30716,
    "name": "Finto",
    "slug": "finto-de",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6adb7f41be65aa21db82cf58680bb6b24b1fdaa.png",
    "website": "https://www.gofinto.com/",
    "all_locations": "Munich, BY, Germany",
    "long_description": "Finto builds AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP. Cutting out 80% of the accountants daily work in invoice recording, account coding and  invoice approvals.",
    "one_liner": "AI accounting for enterprise finance teams",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1751218179,
    "tags": [
      "Fintech",
      "B2B",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We all combine deep domain expertise in mid-market and enterprise workflow automation. \r\n\r\nLorenz and Jonas worked together for 4+ years at TradeLink (SCM-SaaS backed by Point Nine, Insight), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \r\n\r\nKnowing each other from the Munich startup scene, Linus joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Enterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today, an accountant tops out at \\~10-20k invoices per year because the real grind is still manual: \r\n\r\n* Key-stroking invoice data to the ERP\r\n* Manual invoice review and compliance checks\r\n* Manual managing deviations with purchase orders\r\n* Manual allocate ledger accounts and cost center codes\r\n* Chasing approvals. That’s why enterprises still staff large accounting teams - or ship the work to shared-service centers."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "AI will write the final chapter of accounting software. What once required teams, training, and manual effort now happens in real-time - intelligently, autonomously, and at scale through agents. \r\n\r\nFinto is our contribution to this future. As AI agents become capable of understanding context, learning from company-specific data, and executing complex workflows, entire job profiles will shift away from manual execution. With its predictable but intricate schemes, accounting is poised to be one of the first areas transformed. \r\n\r\nDoubling down on our domain expertise, we are on a mission to **take the manual out of accounting**."
      }
    ],
    "url": "https://www.ycombinator.com/companies/finto-de",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/finto-de.json",
    "year_founded": 2025,
    "city": "Munich",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/fintoai/",
    "x_url": "",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/finto-a994",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6adb7f41be65aa21db82cf58680bb6b24b1fdaa.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/897790f5a97b38600e585ebd8a1b1a17e7fb809f.png"
    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 517834,
        "full_name": "Jonas Morgner",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Finto, building AI Accounting agents for enterprise finance teams.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonasmorgner/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f97605372b5d0ae1ac979c3e2c7f2ed491ba373.jpg"
      },
      {
        "user_id": 2677901,
        "full_name": "Linus Boehm",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Engineering Lead @ Tacto - the intelligent procurement engine for enterprises.   Raised a $55M Series-A from Sequoia and Index. Started there as first full time employee.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/linus-boehm/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c3067d349d15aae05c2fb6d8bb70af8203637f4.jpg"
      },
      {
        "user_id": 2140494,
        "full_name": "Lorenz Neuner",
        "title": "Founder/CPO",
        "founder_bio": "Co-Founder & CPO of Finto, building AI Accounting agents for enterprise finance teams.\nFormer Product Lead @ TradeLink - a supply chain management software for enterprises. Raised $15M from Insight Partners and Point Nine. Started among the first employees.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lorenz-neuner/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/541755a427a44a2ca6441bbce20da9487ac8ccdb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 80796,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/finto-de/jobs/zgep090-product-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€60K - €130K EUR",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 85656,
        "title": "(Senior) Solution Engineer",
        "url": "https://www.ycombinator.com/companies/finto-de/jobs/9rF94y6-senior-solution-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "€50K - €80K EUR",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
          "SQL"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92119,
        "title": "Finto - AI Accounting for Enterprises",
        "tagline": "The AI accounting software for enterprise finance teams",
        "body": "**Finto - AI Accounting for Enterprises**\n\nhttps://www.youtube.com/watch?v=otqOvfepgKQ\n\n**TL;DR**\n\nFinto builds an AI accounting software for enterprise finance teams. We automate the invoice-to-pay process from their email inbox to their ERP including invoice handling, supplier communication, 3-way matching, and ERP data entry.\n\n**Problem**\n\nEnterprises with complex vendor supply chains produce vast amounts of incoming vendor invoices each year. A typical **mid-market enterprise processes \\~100k incoming invoices** **yearly**, and today’s legacy tools force accountants to top out at a fraction of the volume: Real manual grunt work still remains:\n\n* Handling hundreds of mails and documents a day\n* Key-stroking invoice data to the ERP\n* Manual invoices checks and account coding\n* Manual managing deviations with purchase orders\n* Chasing approvals\n\nThat’s why enterprises still staff large accounting teams - or ship the work to shared-service centers. Our mission is to free the world’s finance teams from repetitive, low-value tasks so they can focus on impactful work. That starts with building a place where everyone can do their best work.\n\n**Solution**\n\nWe build a platform embedding AI agents to automate the end-to-end invoice-to-pay cycle:\n\n1. **Classify** inbox documents (invoice, receipts, reminder)\n2. **Read** invoices at **99%+ accuracy** - even on line item level\n3. **Check** on vendor, tax, bank, and compliance data\n4. **Email vendors** automatically if something’s off\n5. **Understand & code** ledger, cost-center or project numbers\n6. **Three-Way-Match** invoice orders with POs and GRs\n7. **Collect** **&** **chase** required approvals\n8. **Post to ERP**\n\n**Team**\n\n![uploaded image](/media/?type=post&id=92119&key=user_uploads/517834/3c1f90e4-a068-4456-9e57-cdc10fe024d3)\n\nWe combine deep domain expertise in enterprise workflow automation. \n\n[Lorenz](https://www.linkedin.com/in/lorenz-neuner/) and [Jonas](https://www.linkedin.com/in/jonasmorgner/) worked together for 4+ years at TradeLink (European Logistics-SaaS backed by Point Nine, Insight Partners), accompanying the path from 0 to product-market fit. Lorenz led Product; Jonas led Go-to-Market. Both quit their leadership roles to found Finto. \n\nKnowing each other from the Munich startup scene, [Linus](https://www.linkedin.com/in/linus-boehm/) joined as Co-Founder & CTO. He was previously an early tech lead at Tacto (Procurement-SaaS backed by Sequoia, Index), helping scale it from pre-seed to one of Europe’s largest Series A rounds in mid-market SaaS.\n\n**CTA**\n\nYou’re interested in our product? [Book your demo here](https://www.finto.de/request-demo).\n\nIf you know a CFO or accounting leader, we are eager to help them make their process more efficient - please reach out: [jonasm@finto.de](mailto:jonasm@finto.de)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/fintoai/) or visit our [website](https://www.finto.de/).",
        "url": "https://www.ycombinator.com/launches/Nxn-finto-ai-accounting-for-enterprises",
        "votes": 250,
        "created_at": "2025-07-14T17:08:56.135Z"
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    "long_description": "ProcIndex uses AI to automate accounting operations for the construction and manufacturing sectors.\r\n\r\nIt connects to your existing ERP and operates in the background while giving you full visibility into its actions. By automating accounts payable, accounts receivable, reconciliation, and vendor management, ProcIndex helps accounting teams improve efficiency by 33%.",
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        "full_name": "Neha Suresh",
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        "full_name": "Yuvan Sundrani",
        "title": "Founder/CEO",
        "founder_bio": "Lifetime builder. \nHuge superhero fan, started with builds ranging from co2-powered web-shooters to wrist-mounted flamethrowers.\nCo-founded a contact sharing app in 2020. Engineer #1 to CPO at martech startup (~7 fig ARR). Engineer #1 at AI-therapy startup.",
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        "full_name": "Jason Steinberg",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Autosana\nPlayed club hockey at the University of Maryland. Worked on the founding team of multiple mobile-first startups and wore many hats. Went on a two-month bike trip across America after graduation, and now making mobile QA a heck of a lot easier.",
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      {
        "id": 100020,
        "title": "Autosana 2.0: The E2E validation layer for mobile & web apps",
        "tagline": "Close the E2E testing and QA loop with your coding agents across iOS, Android, and web apps",
        "body": "Coding tools have 10x’d not only dev speed, but also the surface area for bugs. The bottleneck has shifted to validating that features and fixes _actually_ work. \n\nYour team is probably spending hours doing at least one of these things:\n\n* Manually testing for regressions\n* Writing and maintaining brittle E2E test scripts\n* Saying “f\\*ck it, ship it,” way too often\n\nAll while still having users complain about bugs that slip into prod…\n\n“Can’t my coding agent just write my E2E tests for me?”\n\nSure - but now you’re stuck maintaining them as your app evolves - broken selectors, missing element IDs, new user journeys, non-deterministic environments, evolving infra requirements…\n\nNot to mention the cases that are nearly impossible to test with scripts in the first place: Apple Pay, in-app browser flows, complex swipes, drag-and-drop, magic links, OAuth, cross-app auth, etc…\n\nThis is why we built **Autosana** - **the agentic E2E testing layer to close the loop with your coding agents.** Fully vision based, testing your app like humans would. \n\n* Get onboarded seamlessly via our [MCP](https://docs.autosana.ai/mcp-setup)\n* Runs locally and in our cloud for multi-env testing\n* Code review + E2E testing in your PR with video proof\n* Tests evolving with your codebase, creating & running tests based on PR context and code diffs\n* Works across iOS, Android, mobile web, and desktop web\n\n[**\\[demo\\]**](https://youtu.be/DcCf6Knt5LY)\n\nGet started today @ [autosana.ai](https://autosana.ai)",
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        "created_at": "2026-04-21T23:31:01.594Z"
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        "id": 91958,
        "title": "Autosana - AI QA Agent for Mobile Apps",
        "tagline": "Autosana catches bugs in iOS and Android apps before users do.",
        "body": "Hey guys!\n\nWe’re Uv and Jason from Autosana 🌊\n\nWe’re building a QA agent that tests mobile apps like a real user. We’re on a mission to make flaky selector-based test scripts (or worse, manual regression testing) things of the past.\n\n[Demo here :)](https://www.youtube.com/watch?v=zsY22nvcVLU)\n\n# **TL;DR**\n\n* Cloud-hosted mobile QA agent (iOS and Android)\n* Natural language → simulated user flows\n* Integrates into CI/CD\n* Saves 8+ eng. hours per deployment\n\n# **Problem**\n\n**Dev Tools Have Evolved — QA Tools Haven’t**\n\nTools like Cursor and Claude Code boost dev speed by 10x, but lack the runtime context to write E2E tests, especially for complex and non-deterministic flows.\n\n**The QA Bottleneck**\n\nMaintaining traditional end-to-end scripts using frameworks like Appium, Espresso, and XCUITest wastes valuable engineering resources (trust us, we’ve been there).\n\nThese tests are tedious to write, brittle, and routinely break with UI changes. Many mobile teams ($100B+ companies included) have abandoned them and rely on manual QA.\n\n# **Solution**\n\nWe started Autosana to fix the QA bottleneck and help mobile teams ship faster without fear of breaking things.\n\nJust describe your test flows with natural language, as if you’re talking to your own **in-house QA Engineer**. No code, no infra setup, no dependence on flaky element selectors, and no more manual work.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcjScvXfMAllmoIBOAw31yGfHnfgGPt1V2yHBXQfJBTgIg-hFIAaTelmPZb0FJTtGFKjQd8PY-Ia55kJPaoYXTRneqpG3mgKr5bvV3dvZnvPxxdrVW2S2WqHsfzq8RiEToivqsjlg?key=-q2ZKYYIwen11jHmsUW6pg)\n\nOur agent tests your app like a real user, as **part of your CI/CD** pipeline or on a schedule, and **reports to the team when bugs are found**.\n\nAutosana supports both iOS and Android, and is framework-agnostic (we support React Native, Flutter, Swift, Kotlin, you name it…).\n\n**Mobile QA shouldn’t be hard. We’re on a mission to fix the bottleneck between mobile development and testing.**\n\nHave a bug-free day (or many bug-free days, with Autosana &lt;3)\n\n[autosana.ai](http://autosana.ai)\n\n![uploaded image](/media/?type=post&id=91958&key=user_uploads/1097474/10f8ca06-2216-4458-a6fa-11a60c43ff50)\n\n",
        "url": "https://www.ycombinator.com/launches/NvC-autosana-ai-qa-agent-for-mobile-apps",
        "votes": 84,
        "created_at": "2025-07-08T15:59:20.183Z"
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    "id": 30728,
    "name": "OS3",
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    "website": "https://os3robotics.com/",
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    "long_description": "OS3 is building the platform that makes intelligent robots accessible to every business.\r\n\r\nToday, robotics is constrained by two fundamental bottlenecks: hardware is too expensive to deploy at scale, and robots are difficult to train because high-quality robotics data is scarce and costly to collect. \r\n\r\nWe built OS3 to solve both.\r\n\r\nOur two-person team designed and a US-made mobile humanoid robot for a fraction of the cost of commercial alternatives. On the intelligence side, instead of relying on expensive robot-generated training data, we trained our own video-action model on 150,000 hours of real-world video spanning more than 2,000 tasks. Every deployed robot feeds new experience into our reinforcement learning pipeline, self improving robot fleet over time.\r\n\r\nThis creates a robot that can be deployed across industries to automate repetitive, physical work without requiring a new robot or training pipeline for every task. Our robots are already deployed in hotels, with customers now expanding the platform into biotech, hospitals, and data centers, including a wet lab at Stanford.\r\n\r\nOur mission is to do for robotics what Apple did for personal computing: take technology that was once expensive, specialized, and inaccessible and make it powerful and usable at massive scale. We’re building toward a world with billions of intelligent robots, and OS3 is the platform that makes that possible.",
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    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
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        "full_name": "Rishabh Chanana",
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        "founder_bio": "Built a computer at 10. First line of code at 12. Built & programmed a robot at 17.\n\nGrad School at UCSD, Robotics & AI. NLP research with Harvard and Georgia Tech. Trained LLMs at ServiceNow & built patented ML systems.\n\nNow soldering and training robots at OS3.",
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        "full_name": "Chris Hailey",
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        "id": 100908,
        "title": "Mechanical Design Engineer - Robot Parts & Enclosures (Contract)",
        "url": "https://www.ycombinator.com/companies/os3/jobs/r2aKeWa-mechanical-design-engineer-robot-parts-enclosures-contract",
        "location": "San Francisco, CA, US / Remote (IN)",
        "type": "Contract",
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        "role_type": "Hardware",
        "salary_range": "₹360K - ₹800K INR",
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        "title": "Meet The YC Startups Betting On What Comes Next",
        "url": "https://www.forbes.com/sites/dariashunina/2026/09/03/meet-the-yc-startups-betting-on-what-comes-next/",
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        "id": 110139,
        "title": "OS3: Intelligence and Machines for Physical Labor",
        "tagline": "Semi-humanoid hardware & Model based on 150k hours of Videos. Preorders Live Now",
        "body": "**TL;DR: OS3 is building semi-humanoid robots for physical labor. Our first robot, H.A.L.E 1.0, is built for everyday human tasks, and our first model is based on 2,000+ distinct real-world tasks and 150,000 hours of video data. We are opening up pre-orders to all with shipments starting this Fall.**\n\n**Physical AI Problem:**\n\nA lot of teams and businesses want to build and deploy in the robotics space. But they have to source parts or buy hardware from different vendors. Furthermore, the recent import ban makes it even harder for beginners and startups to use the latest hardware, unless they are willing to spend tens of thousands of dollars. Post hardware, constant data collection is needed to adapt open or closed-source models to the ever changing hardware choices. In other words, everyone keeps reinventing the same wheel of modern robotics development over and over again. \n\n**Our solution:**\n\n[**Video Link**](https://youtu.be/dDwaQbZYPLQ)\n\nWe built OS3: Both the hardware from ground up and the model to control the hardware. Our first robot, H.A.L.E. 1.0 (Human Aligned Life Enhancing), is designed to handle a wide range of everyday physical tasks, and we are presenting the prototype unit today.\n\nOur goal is towards pushing American robotics forward while ensuring the state of the art is available to all. \n\n**Hardware and Model:** \n\nIt features a bimanual embodiment with an omni-directional base, full height control to pick up objects directly from the ground while being able to reach top shelves, and a battery that can last a whole work day. Additionally, our design is primarily focused on safety and user-friendliness; a person can start and stop a task at just the touch of a screen on the back of the robot or a mobile app. \n\nThe intelligence layer is a two system architecture, with a high level planner layer and a lower level execution layer. The model has been trained on 150,000 hours of video data spanning over 2,000 real world tasks. Technical report coming soon, once evaluation runs finish. Hardware specs and engineering deep dive posted on our website.  \n\n**Preorders Live now** \n\nShipments begin Fall 2026.\n\nOur strong supply chain enables us to make our first low-cost robot starting at just under $10k for businesses to deploy (available in private beta now) and under $15k for developers to experiment with. We are already working with hospitality providers and biotech companies to deploy our robots. \n\n[**Order Link**](https://os3robotics.com/deploy/)**: 99 dollars deposit fully refundable**\n\nWe are also working on our own custom actuators right now, enabling even higher payload for our robots. Happy to discuss more if your business involves such use cases.\n\n**Talk to us:** [hi@os3robotics.com](mailto:hi@os3robotics.com) or book some time [here](https://cal.com/os3robotics/bf?overlayCalendar=true). ",
        "url": "https://www.ycombinator.com/launches/SeR-os3-intelligence-and-machines-for-physical-labor",
        "votes": 7,
        "created_at": "2026-08-11T19:00:00.126Z"
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    "long_description": "GD&T takes years to master. Engineers must encode their design intent into a dense syntax that manufacturers must decode, and not everyone gets it right. \r\n\r\nPut ten engineers in front of the same drawing and you may get ten different interpretations. Which means errors often surface later in interface stack-ups, manufacturing, or in the field - when they’re far more expensive to fix.\r\n\r\nThat’s why we built F4 - the platform that analyzes GD&T to determine whether your designs are ready for production.\r\n\r\nDrop in your drawing and 3D file. F4 analyzes every element of your GD&T to assess whether your design is clear, manufacturable, and production ready. To make the drawing easier to understand, engineers can visualize their datums, reference frames, and tolerance zones directly on the 3D model. F4 also calculates tolerance stack-ups instantly - directly from the drawing. What once took hours of manual work now takes seconds.\r\n\r\nWhen issues are found, F4 flags them and guides engineers toward resolving the problem.\r\n\r\nAfter analyzing your drawing, F4 also automatically generates design and inspection reports - stack-up tables, FAI reports - ready to share with your team.\r\n\r\nAnd it does all of this locally on-device with no AI used for analysis. Producing deterministic results engineers can trust.",
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    "subindustry": "Industrials -> Aviation and Space",
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      "name": "Jon Xu",
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        "full_name": "Paul Shin",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-Founder @ F4 | Previously Mechanical Design Engineer @ Tesla Drive Unit where I owned 6 CyberCab & SEMI production parts | Earlier, pioneered liquid bipropellant rocketry @ UA & UC Berkeley",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paul-hyoungsang-shin/",
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      {
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        "full_name": "Aidan Cantu",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-Founder @ F4 | Previously Avionics Test Engineer @ SpaceX where I designed and built hardware for Raptor 3 engine testing | Earned B.S. & M.S. in Electrical Engineering in four years with minors in CS & Math",
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      {
        "id": 99090,
        "title": "F4 - The GD&T Analysis Platform for Engineering Drawings",
        "tagline": "(without using AI for analysis!)",
        "body": "GD&T takes years to master, and even experienced engineers can interpret the same drawing differently. When design intent is unclear, issues tend to surface later in interface stack-ups, manufacturing, or worse, in the field where fixes become far more expensive.\\\n\\\nWe built F4 to address that. \\\n\\\nF4 - The GD&T Analysis Platform for Engineering Drawings\\\n\\\nUpload a drawing and 3D model and F4 analyzes the GD&T to assess whether the design is clear, manufacturable, and inspectable. Engineers can visualize datum reference frames and tolerance zones directly on the 3D model, instantly calculate stack-ups from the drawing, and identify issues before they become costly problems.\\\n\\\nF4 also generates the reports teams need to move forward, including stack-up tables and FAI documentation.\\\n\\\nAll analysis runs locally on-device using deterministic algorithms, producing reliable results engineers can trust. \\\n\\\nWatch the video below to see how it works. \n\n<https://youtu.be/Bfsxwxq6r1s>\\\n\\\nTo evaluate whether your designs are truly production ready, book a demo of the F4 Enterprise platform on [**https://f4.dev**](https://f4.dev) and see our full GD&T coverage.\\\n\\\nOr try F4 Lite at <http://f4.dev/lite> - our advanced PDF engineering drawing viewer built to replace browsers and tools like Acrobat for reviewing prints!",
        "url": "https://www.ycombinator.com/launches/PmE-f4-the-gd-t-analysis-platform-for-engineering-drawings",
        "votes": 20,
        "created_at": "2026-03-25T20:49:09.631Z"
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      {
        "id": 93123,
        "title": "F4 - Automated compliance checks for engineering drawings",
        "tagline": "We help hardware teams 10x how they redline & interpret engineering drawings",
        "body": "# **What is F4 in a nutshell?**\n\nWe’re helping hardware-rich teams 10x how they redline and interpret engineering GD&T drawings. With backgrounds at Tesla and SpaceX, we’re building a platform that finally treats drawings like code—automatically validating every dimension, tolerance, and GD&T symbol against standards so noncompliance is caught instantly.\n\nhttps://youtu.be/SYzqZ4XWmCA\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/a6d6c66e-7e58-4405-b4e2-48c30b354495)\n\n# **The Problem & Why We Built F4**\n\nDrawing literacy is one of the weakest skills across hardware teams. Yet drawings are made every day.\n\nThese aren’t just illustrations—they’re effectively business contracts between designers and manufacturers, defining what’s acceptable in production. Drawings carry the bulk of design intent—fit, form, function, and fabrication—and act as the important source of truth across production, quality, and supply chain.\n\nGD&T standards from ASME and ISO exist to formalize this communication. But they’re dense and confusing. Across major revision years, there are thousands of pages of definitions, edge cases, and revision quirks. Designers are expected to know it all, leads are expected to catch every mistake, and suppliers are expected to interpret drawings flawlessly. One mistake means scrap, delays, or worse.\n\n# **Our Solution**\n\nWhy is something so critical still so manual? Why can’t drawings be validated and interpreted more quickly and robustly —like code? Why can’t hardware dev be more like software dev?\n\nWe’re changing exactly that!\n\nF4 treats drawings like code—they either execute or fail immediately. Our platform checks every dimension, tolerance, and GD&T symbol against standards in real-time, ensuring full compliance before a drawing ever reaches the floor. No more total reliance on manual redlining and reviews.\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/1aa5904c-3086-4722-8838-ffda9c0d7a85)\n\nF4 ensures engineers never release noncompliant drawings—and suppliers never misinterpret them. F4 helps industrial teams eliminate costly scrap, rework, and miscommunication at the root.\n\n# **How It Works**\n\n1. Upload a drawing (dxf…and very soon pdf)\n2. Select GD&T standard of choice (ASME Y14.5 - 1994, 2009, & 2018)\n3. Get instant compliance score graded against a desired GD&T standard using **deterministic logic**\n4. Get recommendation to correct any asset (FCF, FOS, datum, basic, modifier, and/or dimension) of the drawing that is noncompliant with references to ground-truth sources\n5. With a compliant drawing - get standard definition, inspection plan, and tolerance analysis interpretations on any drawing asset of interest\n\n![uploaded image](/media/?type=post&id=93123&key=user_uploads/2642473/accc67da-db20-423d-84b0-7ec4904ad800)\n\n## **Hardware Platform Built by Hardware Engineers!**\n\nI worked at Tesla as a Mechanical Design Engineer and took 6 parts from clean sheet design to production for the CyberCab and SEMI drive system programs. I was also the lead engineer for Tesla’s global drive unit heat exchanger program with +3 million unit annual production volume.\n\nAidan worked at SpaceX as an Avionics Test Engineer, where he designed and owned testing hardware (PCB boards and testing apparatus) for the Raptor 3 Engine - the most advanced rocket engine in the world. \n\nIn college, we led The University of Alabama’s Rocket Team where we achieved the university’s first-ever liquid rocket engine hotfire! I built the rocket engine and Aidan built the electrical/software for our propulsion system.\n\nhttps://youtube.com/shorts/rBwsqu_sdeg?si=RgRU_eqib7_-qLcV\n\n## **Ready to Ditch Manual Redlining?**\n\nIf you're tired of pretending to be good at GD&T:\n\n* Email us: [paul@f4.dev](mailto:paul@f4.dev) and [cantu@f4.dev](mailto:cantu@f4.dev)",
        "url": "https://www.ycombinator.com/launches/ODz-f4-automated-compliance-checks-for-engineering-drawings",
        "votes": 22,
        "created_at": "2025-08-18T23:37:02.733Z"
      }
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    "id": 30744,
    "name": "SigmanticAI",
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    "long_description": "SigmanticAI is building an AI-native hardware development assistant that automates the entire RTL design flow, from natural language to synthesizable HDL and testbenches, inside a seamless VSCode fork. Powered by fine-tuned Verilog LLMs, reinforcement learning, and real compiler feedback, SigmanticAI iteratively refines code until it compiles and passes synthesis, no matter how complex the design. It’s like the Cursor for HDL design. \r\n\r\nIn addition to code generation, SigmanticAI can generate token-level annotations and onboarding documents to accelerate ramp-up for new engineers. With support for both cloud and on-prem deployment, it integrates with existing EDA tools to dramatically reduce debug time, improve collaboration, and accelerate hardware design across teams",
    "one_liner": "The Cursor for Chip Design - Delivering Silicon-Ready Chip Designs…",
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        "full_name": "Rohil Khare",
        "title": "Founder",
        "founder_bio": "I’m Rohil Khare, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley and previously worked at Amazon. In high school, I filed provisional patents in IoT as an early innovator, and since then I’ve worked at multiple startups at the intersection of hardware and machine learning. At Berkeley, I conducted research at BAIR and the Architecture Group, and published at ICRA. Now, at SigmanticAI, I’m building AI-native tooling that accelerates the creation of custom chip designs and silicon.\n\n\n\n\n\n",
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        "full_name": "Tamzid Razzaque",
        "title": "Founder",
        "founder_bio": "I'm Tamzid Razzaque, Co-Founder of SigmanticAI. I studied EECS at UC Berkeley, with a focus on integrating AI applications with custom hardware design. I am continuing this passion at YC. I previously worked at Apple on custom circuits and researched at BWRC and BETR on custom FPGA accelerators.",
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      {
        "id": 92212,
        "title": "SigmanticAI - The Cursor for Hardware Design",
        "tagline": "Suite of AI Agents and Tools to Accelerate HDL (Hardware Description Language) Design",
        "body": "Hey YC! We're Tamzid and Rohil from [SigmanticAI](https://www.sigmanticai.com/).\n\n**The Problem with Creating Custom Hardware**\n\n* HDL tooling hasn’t changed much since the '90s: still slow, manual, and fragmented\n* Debugging eats up majority of hardware dev time\n* There's no seamless AI-native experience for building and reasoning about HDL\n\n---\n\n**Our Solution**\n\n_SigmanticAI_. What it can do:\n\n* **Natural language to synthesizable Verilog + testbenches**\n* **RL-driven debugging** loop\n* Built-in **onboarding**, codebase **annotation**, and **spec** documentation **generation**\n* LLM-powered on both **cloud** and **fully air-gapped/on-prem** deployments\n* **Seameless** integration with **VScode** + your **existing synthesis tools** from Cadence, Synopsys, etc.\n\nWe’ve already made a RISCV CPU start to finish with it, onboarded our first paying customer, and are getting 90%+ accuracy on the VerilogEval benchmark (NVIDIA framework)\n\n---\n\n**Demo video\\\n[https://youtu.be/Cq3hpMflIA8](https://youtu.be/Cq3hpMflIA8)**\n\n---\n\n**Asks!**\n\n* We want to talk to:\n  * Anyone **working** **with** **FPGAs, custom chips, ML accelerators, or RISC-V** cores\n  * Anyone **working in EDA** \n  * Anyone **working with fine tuned LLMs for hardware**\n* **Try us out! Thank you!**\n  * [https://www.sigmanticai.com](https://www.sigmanticai.com%EF%BF%BC%EF%BF%BC)\n\n**Who We Are**\n\nWe’ve spent years working on both LLMs and hardware. After working at Apple (Tamzid) and Amazon (Rohil) and research in FPGA mapping and LLaMA fine-tuning, we realized the real bottleneck in hardware design is tooling. We’ve built custom CPUs, worked with EDA stacks, and experienced the pain firsthand. Conversations with engineers at Northrop Grumman, SciEngines, and Quadric made it clear: hardware desperately needs a smarter workflow.\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/74a5aa7d-62e0-47f9-9e95-9bc55e7c49f1)\n\n![uploaded image](/media/?type=post&id=92212&key=user_uploads/2407642/85c5143a-36c1-43aa-84ed-eebdfd014498)\n\n",
        "url": "https://www.ycombinator.com/launches/NzI-sigmanticai-the-cursor-for-hardware-design",
        "votes": 50,
        "created_at": "2025-07-16T19:05:10.461Z"
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    "long_description": "You text Pally like you’d text a friend, and it connects to everything else: your inboxes, calendar, files, tasks and the web",
    "one_liner": "Your personal AI Assistant",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1750346506,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pallyai",
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      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "full_name": "Haz Hubble",
        "title": "Founder/CEO",
        "founder_bio": "High-school dropout and super connector. Previously founded the London Founder House. Designer, salesman, engineer, accountant (weird mix but it works). Building at the intersection of AI x Human Relationships.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/hazhubble",
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        "full_name": "Wyatt Lansford",
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        "founder_bio": "ML Engineer in robotics & autonomy. Won the DARPA AlphadogFight Trials, built autonomous planes & robots. Acquired by Shield AI. Now building human x AI interfaces.",
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        "title": "Pally - AI Relationship Management",
        "tagline": "All your pals, from all your socials.",
        "body": "![uploaded image](/media/?type=post&id=91579&key=user_uploads/978619/4443ca80-d250-46a5-8234-98a9d5852a59)\n\nHey 👋, we’re Haz and Wyatt, the founders of Pally.\n\nWe’re building Pally because in a world full of ‘AI SDRs’, our warm connections become more important than ever… Yet today, keeping track of thousands of connections across countless social platforms is impossible. \n\nWe forget to respond, we miss important moments, and we lose touch.\n\nWe’re building Pally to solve that.\n\nIf this resonates, we’d love your early feedback. Download Pally here: [www.pally.com](http://www.pally.com)\n\n# Demo\n\nhttps://www.youtube.com/watch?v=g97sd_roD14\n\n## How does it work?\n\nWe bring together all your connections, across all your socials (inc. iMessage, WhatsApp, LinkedIn, Google, Email, Calendar, and X), and then our AI researches everything they’ve ever posted online.\n\nPally uses this deep understanding of each relationship to help you:\n\n* Prepare you for meetings\n* Stay in touch with your potential customers/hires/investors (or just remind you to ring your mum from time to time)\n* Search over your network to find the right person for any query (”who do I know in New York that I’ve not spoken to in a while?”)\n* Add people to pipelines\n\nWe also added some fun relationship stats, so you can see how social you are compared to other Pally users, how each relationship is growing/declining over time, how long you take to reply vs how long others take to reply to you, and more.\n\n## Who’s it for?\n\nWe’re mostly focused on founders and investors, but we’ve also seen salespeople, recruiters, agency owners, and creators get a lot of value from Pally; essentially anyone in a role where relationships are a primary focus (and honestly, we believe in the world of AI, that’s _everyone_).\n\n## What's next?\n\nWe're excited to launch this into public beta today, learn from what our users are loving, and where they’re wanting more, and build that. \n\nOur roadmap includes adding integrations with AI meeting note takers, so all your relationship context is in one place, adding an iOS app so you have all your data on the go, and adding more agentic capabilities.\n\n# Ask\n\nPlease upvote us here and on [Product Hunt](https://www.producthunt.com/products/pally-ai-relationship-management), and give Pally a test and let us know how you get on! \n\nWe’re also hiring! If you’re interested in working with us, please email [hiring@pally.com](mailto:hiring@pally.com) with your cv.\n\nThanks for your support,\n\nHaz + Wyatt 🫶 ",
        "url": "https://www.ycombinator.com/launches/Np5-pally-ai-relationship-management",
        "votes": 149,
        "created_at": "2025-06-24T16:42:07.104Z"
      }
    ]
  },
  {
    "id": 30759,
    "name": "Certus AI",
    "slug": "certus-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4913536f9defe2e375acb9a499aa2ac443e9dc95.png",
    "website": "https://www.certus-ai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Certus AI is replacing the restaurant phone line with Voice AI.\r\n\r\nRestaurants lose up to $100,000 per year per location from missed calls, lost orders, and abandoned hold lines. Staff are overwhelmed. IVRs frustrate customers. Call centers are expensive and impersonal.\r\n\r\nIt’s 2025. Guests don’t leave voicemails or wait on hold. They just move on.\r\n\r\nCertus is an AI voice agent built for restaurants. It answers every call, 24/7 — taking orders, processing deliveries, booking reservations, upselling, and handling complaints in English, Spanish, French and more. Certus is built to manage the phone line end to end, from the customer call to the restaurant tech stack, with zero human intervention required. It currently integrates with industry-leading systems like Toast, Square, Clover, UberEats, DoorDash, and more.\r\n\r\nWe’re building the voice layer of the modern restaurant — the employee they’ll never fire.\r\n\r\nWe started Certus because we lived the pain. Gurveer (CEO) grew up answering phones in his family’s restaurant and helped operate them, growing from 1 to 11 locations in 7 years. Later, he and Adam (CRO) ran a restaurant growth startup to help others increase revenue, but kept watching clients bleed cash because no one picked up the phone. So we built the solution the industry always wished existed.\r\n\r\nUntil now, this problem was considered unsolvable. But Voice AI has finally crossed the conversational chasm and 72% of consumers now prefer AI over humans as long as it means faster and better service.\r\n\r\nMore importantly, the market is begging for this. The North American restaurant industry crossed $1 trillion in 2024, and it's projected to hit $1.5 trillion in 2025. Yet over $100 billion is still lost annually to missed calls, human error, and outdated tech. As the market continues to grow, so do the losses!\r\n\r\nOur customers say it best:\r\n\r\n- “Certus changed my life overnight.”\r\n- “We were losing the ability to give great in-house service — the phone was killing us.”\r\n-  “70% of my business comes through the phone. That’s mine and my 16 staffs livelihood.”\r\n- “Before Certus, I used to lose 40 - 60 calls a day…. now my printer just stays printing!”\r\n-  “I’ve been in the business 38 years. I’ve been waiting for this since then.”\r\n\r\nCertus is here to fix the $120B phone problem — one call at a time.\r\n\r\nAnd in doing so, we’re redefining how the restaurant industry communicates forever, starting with the phone line.",
    "one_liner": "Replacing the restaurant phone line with Voice AI",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1753135662,
    "tags": [
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      "B2B",
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/certus-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/certus-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104576510/",
    "x_url": "https://x.com/certus_ai",
    "fb_url": "https://www.facebook.com/certusai/",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4913536f9defe2e375acb9a499aa2ac443e9dc95.png",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2362198,
        "full_name": "Gurveer Singh",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Certus AI. \n\nI started answering phones at my family’s restaurant at 9 and helped scale it from 1 to 11 locations. Later, I co-founded a restaurant growth startup with Adam (now Certus CRO), helping independents grow revenue across takeout, catering, and event— but clients still lost money because no one answered the phone. That’s what led me to build Certus: the solution I wish we had when I was 15 and the kitchen was on fire.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gurveer-singh-35168031b/",
        "x_url": "https://x.com/gurveersingh299",
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      },
      {
        "user_id": 2365312,
        "full_name": "Adam Gamieldien",
        "title": "Founder/CRO",
        "founder_bio": "Co-founder & CRO of Certus AI. \n\nBefore Certus, I helped scale a restaurant growth startup with Gurveer, working directly with dozens of independent restaurants and closing our deals. We helped drive revenue across delivery, catering, and events — but time after time, sales fell through because no one picked up the phone. That’s what led us to build Certus. I now lead GTM and speak with operators daily to uncover what’s broken and how Certus can fix it.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adam-gamieldien-067605247/",
        "x_url": "https://x.com/AdamGamieldien",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b31eb17e8add0a07e52c37fd0caa7ce885114b6.jpg"
      },
      {
        "user_id": 2365310,
        "full_name": "Isaac Nichols",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Certus AI. \n\nI got my start at 16 with a full-time internship at Falcon Eye Drones. Since then, I’ve built AI systems across logistics, telecom, and restaurant tech, always focused on automation and operational leverage. Before Certus, I was a founding engineer at Hive AI, co-founded 2 startups, and built a full-stack hospitality management system. That gave me deep insight into how restaurants really run, and why fixing the phone line had to be next.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/isaac-nichols-963857251/",
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    "launches": [
      {
        "id": 92344,
        "title": "☎️ 👨‍🍳 Certus AI: Replacing the Restaurant Phone Line with Voice AI",
        "tagline": "The AI Phone System Restaurants Rely On",
        "body": "**We’re Gurveer (CEO), Adam (CRO), and Isaac (CTO),** and we’re solving the $100B+ phone problem for restaurants\n\nhttps://youtu.be/ydTdJDJMiKE\n\n## TL;DR — Certus AI is an AI voice agent for restaurants. Certus answer every call, take orders, processes deliveries, and books reservations.\n\n---\n\n### ❌ The Problem\n\nRestaurants lose **up to $100,000 per year per location** because of missed calls.\n\n* The average restaurants gets 75 calls/day from customers trying to order, book, or ask a simple question\n* 25% of those calls go unanswered on any given day\n* Every missed call = lost revenue/ angry customer\n* Call centers are expensive. IVRs frustrate customers. Staff is overloaded.\n\nThe phone is still one of the most valuable channels in hospitality, yet it costs the industry **$100B+ annually**.\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/84bc1556-5735-4b05-8664-5054b06ba4e7)\n\n---\n\n### ✅ Our Solution\n\n**Certus AI is a multilingual Voice AI agent that answers every call:**\n\n* Takes orders\n* Books reservations\n* Processes deliveries\n* Handles complaints better than humans\n* And always upsells, increasing AOV\n\nIt answers every call, in real time, and **connects to POS, reservation and delivery systems like:**\n\n* Toast\n* Square\n* Clover\n* UberEats\n* DoorDash & more\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/78dc0426-c23d-4db3-8144-4427fce04bc7)\n\n---\n\n### 🎯 Why Now\n\n* **72% of consumers** are comfortable speaking to AI if it means faster service\n* **LLMs and voice synthesis** have finally crossed the quality threshold for real-world use\n* **Labor costs are rising, staff is burning out**, and operators are actively searching for solutions\n* The **restaurant industry crossed $1T** in 2024 and it's bleeding $100B/year to missed calls, human error, and outdated workflows\n\n---\n\n### 👋 Who We Are\n\n---\n\nI’m Gurveer, and **I’ve been answering restaurant phones since I was 9.**\n\nMy family started with one location and grew to 11. At every stage, the phone _made or broke_ the business: missed calls meant missed orders, staff burnout, and broken operations. That chaos didn’t go away as we scaled.\n\n**In the early days, we couldn’t afford to lose revenue, BUT, we also couldn't afford to hire someone just to manage the phone.** So I became the phone guy. I was so obsessed with not missing calls that **I carried our restaurant hotline with me _everywhere:_** to the gym, school, or even parties. No joke. I’d step out mid-convo to take a catering order.\n\nLater, Adam (CRO) and I ran a growth startup for restaurants. We’d drive serious demand, but the same problem always came back: no one picked up the phone to covert that into revenue.\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/a1a5d359-a692-4803-8a78-357383fcd24d)\n\nThat obsession, and frustration, is what led us to build Certus. The phone line is still one of the most valuable, yet broken, parts of a restaurant. **Now, it’s finally being replaced by Certus AI.**\n\n---\n\n### **💬 What Our Customers Say**\n\n> Certus **changed my life overnight.**”\n>\n> “We were losing the ability to give great in-house service… **the phone was killing us**.”\n>\n> “**70% of my business comes through the phone. That’s mine and my 16 staffs livelihood.**”\n>\n> “Before Certus, **I used to lose 40 - 60 calls a day…. now my printer just stays printing!**”\n>\n> “I’ve been in the business 38 years. **I’ve been waiting for this since then.**\n\n![uploaded image](/media/?type=post&id=92344&key=user_uploads/2362198/ea3d515c-f5fe-4c96-9bb6-6357d7f6f510)\n\n---\n\n### 🙋 Our Ask\n\n* **Do you know a restaurant group, franchise operator, or overwhelmed manger?** A warm intro would mean the world!\n\n---\n\n### 👑 Thank you!\n\nWe’re super excited to introduce you to Certus AI, but more importantly, we’re excited to build and grow alongside all of you!\n\n**– Gurveer, Adam & Isaac**",
        "url": "https://www.ycombinator.com/launches/O1Q-certus-ai-replacing-the-restaurant-phone-line-with-voice-ai",
        "votes": 30,
        "created_at": "2025-07-22T02:52:29.974Z"
      }
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  },
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    "id": 30761,
    "name": "Reacher",
    "slug": "reacher",
    "former_names": [],
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    "website": "https://reacherapp.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Reacher is an AI-powered platform that automates creator marketing workflows—from discovery and outreach to campaign management and content strategy—making marketing teams 10x more productive. \r\n\r\nWe handle the manual tasks so brands can focus on building relationships with creators while centralizing their operations in one platform to manage creators on TikTok Shop, Instagram, and YouTube.\r\n\r\n\r\n\r\n\r\n",
    "one_liner": "We automate creator marketing for the world's largest brands",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750191046,
    "tags": [
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      "E-commerce",
      "Creator Economy",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/reacher",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/reacher.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/reacherapp",
    "x_url": "https://x.com/ReacherApp",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e18f0a8b8fff511049fe03b4ad0dc3b98bce28b5.png",
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    ],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 839007,
        "full_name": "Jerry Qian",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO @ Reacher\nPrev @ Meta, Berkeley, NASA",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/j-qian",
        "x_url": "https://x.com/JerryQian_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec1ee882a67209bd8aedbe13d8a0bfbcb164e25f.jpg"
      },
      {
        "user_id": 1366962,
        "full_name": "Bora Mutluoglu",
        "title": "Founder",
        "founder_bio": "Bay area born and raised. Cupertino native. Work, gym, hiking, nature, walking, rugby, soccer, dogs, birds, edm, heavy metal, healthy lifestyle, work. Cupertino High School -> UC Santa Cruz -> UC San Diego -> UC Berkeley -> Palo Alto Networks -> Reacher. \n\nCurrently building Reacher. The AI Brand Manager for ecommerce businesses scaling through the creator economy.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bora-mutluoglu",
        "x_url": "https://x.com/BoraMutluoglu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fd8c23ceb198400a3b742659ae87f2e47e2ad57.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77926,
        "title": "Senior Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/D4dVC9e-senior-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$115K - $200K",
        "equity_range": "0.50% - 2.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80082,
        "title": "Software Engineer (Full Stack)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/rqRLSNE-software-engineer-full-stack",
        "location": "San Francisco, CA, US / Los Angeles, CA, US / New York, NY, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $130K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 80430,
        "title": "Software Engineer Intern (Fall 2025/Summer 2026)",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/HxPjZJm-software-engineer-intern-fall-2025-summer-2026",
        "location": "San Francisco, CA, US / Los Angeles, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$6K - $10K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81897,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/44JG1fa-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$70K - $240K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81900,
        "title": "Head of Customer Success",
        "url": "https://www.ycombinator.com/companies/reacher/jobs/FeFkQWj-head-of-customer-success",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $180K",
        "equity_range": "0.01% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93070,
        "title": "Reacher - Marketing agent for creator collaborations",
        "tagline": "Automate creator management, campaign optimization, and content strategy so marketing teams can focus on what humans do best.",
        "body": "# **The problem we're solving**\n\nCreator marketing teams spend too much time on manual and repetitive tasks that can be automated.\n\nIf you run marketing at an ecommerce agency or DTC brand, you know the creator marketing team is manually reaching out to creators, managing campaigns across TikTok Shop, Shopify, and Amazon, while trying to stay on top of trends and optimize budgets. \n\nReacher handles these tasks so marketers can focus on what they do best: building relationships with creators.\n\nHere’s our demo video [Introducing Reacher!](https://www.youtube.com/watch?v=MAIFauroCN4)\n\n# **How Reacher works**\n\n* **Creator Discovery** - We analyze millions of creator profiles to find matches based on brand values, content focus and audience demographics. \n* **Creator Management System** - Our CRM automatically identifies where each creator is in the pipeline and knows the right message to send at the right time to increase conversion at every stage.\n* **Campaign Management** - Reacher runs creator retainers, viral challenges, contests, manages payments, and provides real-time analytics.\n* **Creative Intelligence** - We monitor viral trends, analyze competitor strategies, and track creative patterns across platforms. We auto-generate creative briefs and video scripts to enable hyper specific campaigns and drive content diversity.\n* **Multi-Platform Integration** - While we dominate TikTok Shop today, we're building the universal platform to power all creator-brand collaborations. Soon, brands selling on TikTok Shop, Amazon, and Shopify will find and manage creators from Instagram, Youtube, TikTok, X all from Reacher.\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/02d2cbe8-0f3e-43e3-99d4-b47824431757)\n\n# **Why this is the future**\n\nNowadays, most brands are discovered through creator content, sell products through creator affiliates, and build their entire customer acquisition around user generated content at scale. \n\nEvery company will eventually need creators making content across every platform. We're building the infrastructure so any brand can instantly find and work with creators on YouTube, Instagram, TikTok, X, Snapchat and even Pinterest - wherever their customers are.\n\n# **How to get started?**\n\nWe power creator collaborations for any company from small businesses to household name enterprise brands. Learn how we can help your business grow through creator content. Book a demo [HERE](https://meetings.hubspot.com/reacher).\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/12ea83ee-9e59-45da-ab46-3a5b78113ebd)\n\n![uploaded image](/media/?type=post&id=93070&key=user_uploads/839007/1a0ef1a7-7c2b-4296-b843-7450be56cdb7)\n\n",
        "url": "https://www.ycombinator.com/launches/OD8-reacher-marketing-agent-for-creator-collaborations",
        "votes": 22,
        "created_at": "2025-08-17T04:29:07.122Z"
      }
    ]
  },
  {
    "id": 30774,
    "name": "CLODO",
    "slug": "clodo",
    "former_names": [
      "Disclodocs",
      "Clodo"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f11e383f1603855e0c14f84e4d86a8e59ed719ed.png",
    "website": "https://clodo.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Clodo is the planet's best people discovery. Used in GTM, Recruiting, Marketing, and Ops at AI Natives, B2Bs, and Fortune 500s in SaaS, Manufacturing/Industrials, BioTech, Healthcare, Fintech, Compliance, and more",
    "one_liner": "Planet-scale people discovery.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1754475903,
    "tags": [
      "B2B",
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        "full_name": "Sid Rajaram",
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      {
        "id": 96826,
        "title": "Clodo - Vibe GTM",
        "tagline": "Execute outbound at the speed of thought.",
        "body": "# Find your next customers with just a prompt on Clodo. Try it now!\n\n<https://youtu.be/WUqOqtYAhSM>\n\nVibe GTM is here. From founders in the current batch to GTM teams at the fastest growing AI-era companies, users are setting Clodo loose to find: \n\n“data platform decision makers at companies spending more than $1M/year on data lake reads” \n\n“best targets who will be attending CES“\n\n“AI tool buyers at the top 40 industrial general contractors (ie. fabs/data centers)”\n\n“people who need our product NOW” \n\nTry it out right now at [clodo.ai](https://clodo.ai)\n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/080add04-5ee1-4193-addd-2ce4f61a428f)\n\n### **HOW IT WORKS** \n\n**Just from a prompt, Clodo prospects and consolidates signals from everywhere**, be it hiring activity, blogs, social media activity, public records, and so much more **to derive the highest quality lead lists you’ll ever find anywhere.** \n\nProspects that fit your exact criteria. \n\nProspects that want to buy. \n\nContact enrichments included as well. \n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/d3f94b5b-f7fa-4c53-956d-f953bb962823)\n\n### **TASTEFUL OUTBOUND ON AUTOPILOT**\n\n**Clodo not only finds you prospects who are willing to listen, Clodo figures out what exactly to say to them.** \n\nIt’s going to be a rough decade for templated sequences. Prospects can tell when they are on the receiving end of a “Hello {{first_name}}, Really impressed by your work as {{job}} at {{company}}”. \n\nInstead, Clodo automatically plans and executes tasteful, personalized outbound campaigns to each prospect all on your behalf. No em dashes, no AI slop prose, just normal sounding emails that lead to better conversion. \n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/37caf209-238b-43f3-b04b-d19e283e3cf0)\n\n### **SELLING: A Resolution for 2026**\n\nIn 2026, STOP WASTING TIME sifting through the dozens of tools and websites to find qualified prospects who are actually in need of what you’re selling. And definitely DO NOT BURN CASH on templated “Hello {{first_name}}” sequences to the abyss. \n\nIn 2026, vibe GTM :) \n\nGot a super specific use case in mind or any questions/concerns? We’re at [founders@clodo.ai](mailto:founders@clodo.ai) \\\nHappy to chat more: <https://calendly.com/clodoai/clodo-ai>\n\n![uploaded image](/media/?type=post&id=96826&key=user_uploads/353032/f7c45b00-48e9-4701-8be6-8d90878a5611)\n\nHere’s to a great 2026. Happy selling!  ",
        "url": "https://www.ycombinator.com/launches/PBi-clodo-vibe-gtm",
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        "created_at": "2026-01-15T19:55:12.039Z"
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    "long_description": "RowFlow replaces clunky web forms with natural conversations that run over text, slack, or wherever your users are. Our platform increases your form’s response rates while cutting your internal overhead in half. \r\n\r\nWith RowFlow, you can take any existing form and instantly convert it into an AI-powered conversation. New flows launch in minutes and reach respondents over your preferred channel or embedded chat. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team.\r\n\r\nForms power billions of business interactions yearly. Whether it’s forms for client intake, registrations, compliance, feedback, or surveys, they all follow the same painful pattern: low conversion, messy data, and frustrated users. Teams have long tolerated forms only because there's been no scalable alternative for collecting structured information from people - until now. Our goal is for RowFlow to become the new default way for how organizations collect user data in an AI-first world.",
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        "full_name": "Alec Olesky",
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        "full_name": "Jack Bubes",
        "title": "Founder/COO",
        "founder_bio": "Jack is the co-founder of RowFlow. He spent 8 years scaling marketplaces at Uber, Shef (YC19), and Faire (YC17), where he built 0-to-1 operational systems, standardized messy onboarding flows, and most recently led human-in-the-loop ML programs. He holds a degree in Statistics and Operations from Wharton, where he graduated in 2017.",
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        "title": "RowFlow: Turn any form into an AI conversation",
        "tagline": "We replace clunky webforms with AI conversations that get more responses faster",
        "body": "**Hey all -** we’re Jack and Alec, co-founders of **RowFlow**.\n\n**TL;DR**\n\nRowFlow can take any existing static form and instantly convert it into a dynamic AI-powered conversation. New flows launch in minutes and reach respondents over text, Slack, embedded chat, or wherever your users are. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team. Compared to traditional webforms, our AI-native approach delivers higher completions, less overhead, and a better user experience.\n\n**Want to see it in action? [Try our demo here.](https://rowflow.ai/)**\n\n**Have a form that users hate filling out? [Schedule a call with us here.](https://calendly.com/rowflow/discovery-call)**\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/755cae46-1c7f-4e48-a9e2-733e1d68348b)\n\n**Problem**\\\nForms suck. They power power billions of business interactions yearly _(think: lead qualification, customer onboarding, client intake, feedback forms, surveys, event RSVPs, registration forms, compliance, healthcare…the list goes on),_ but most have:\n\n* **Low conversion:** too many users provide half-answers or drop off before completing.\n* **Time drain:** teams waste hours building complex logic, chasing non-responders, hand-holding, and cleaning messy data.\n* **Poor user experience:** even when forms do work, they frustrate users and hurt your brand.\n\nTeams have been forced to tolerate these pain points as there's been no scalable alternative for collecting structured information from people - until now.\n\n---\n\nhttps://www.youtube.com/watch?v=MrchVB7RHmg\n\n\\\n**Solution**\\\nWith RowFlow, we abstract away from the static form structure altogether. It works like this:\n\n1. Say what data you need ([or try our Google Form converter](https://rowflow.ai/)).\n2. RowFlow runs guided AI conversations over text, Slack, email, or embedded chat with automated follow-ups.\n3. You get clean, structured data delivered into your systems.\n\nOur goal is for RowFlow to become the new default way for how organizations collect needed user data in an AI-first world.\n\n---\n\n**Ask:**\n\n1. Do you have a form with low response rate? If so, we’d love to help - [**you can book a call with us here**](https://calendly.com/rowflow/discovery-call)!\n2. If you have to fill out a form in the wild that makes you go 🤬, send a screenshot to [**jack@rowflow.ai**](mailto:jack@rowflow.ai) and we’ll take it from there.\n\n\\\n**About Us:**\n\nJack and Alec met as freshmen at UPenn and we always knew we’d build something together. 12 years later, we are! Prior to RowFlow, Jack scaled Ops at Uber, Shef, and Faire, while Alec was a quant trader at Virtu and an engineer at Meta.\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/2b8be54b-a588-45eb-8224-5efb9ab195bf)\n\n",
        "url": "https://www.ycombinator.com/launches/OHl-rowflow-turn-any-form-into-an-ai-conversation",
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        "created_at": "2025-08-27T18:30:29.678Z"
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    "long_description": "Munify is the cross-border Neobank for the Middle East and its diaspora. Instantly open a USD account, get a virtual card, and send money home at the best rates, all from one app.",
    "one_liner": "The Cross-Border Neobank for the Middle East",
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    "industry": "Fintech",
    "subindustry": "Fintech",
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    "year_founded": 2025,
    "city": "Orlando",
    "country": "US",
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        "user_id": 1987451,
        "full_name": "Khalid Ashmawy",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Munify (YC S2025), building a cross-border Neobank for the Middle East and its Diaspora. Previously founded Huspy (Sequoia-backed Series B, doing $7B in transactions annually). Before that, 10 years leading engineering teams at Microsoft and Uber.",
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        "url": "https://techcrunch.com/2025/08/29/microsoft-and-uber-alum-raises-3m-for-yc-backed-munify-a-neobank-for-the-egyptian-diaspora/",
        "date": "Aug 29, 2025"
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    "id": 30822,
    "name": "Lapis",
    "slug": "lapis",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lapis builds, launches, and scales paid ad campaigns for DTC and SaaS businesses.\r\n\r\nLapis agents handle every step of the paid ads journey: writing ad copy (headlines and descriptions), generating the static images used in ads, deploying campaigns across paid channels, creating a custom landing page for each ad, and feeding real user interaction data back into a self-improving ads engine that gets better every day.\r\n\r\nWith Lapis, businesses can rapidly iterate on ads and A/B test at scale, free from the human design and creative bottlenecks that slow teams down. Using Lapis, companies can quantitatively improve their paid ads performance by up to 20x.\r\n\r\nLapis is used by 1,500+ marketing teams and 30+ enterprises, from Fortune 500 businesses to fast growing DTC businesses, and supports 10 languages including English, Spanish, and Italian.",
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      "name": "Aaron Epstein",
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        "user_id": 482153,
        "full_name": "Varunram Ganesh",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Lapis. Previously, I was Head of Growth at Warp (YC W23) where I built the sales and marketing functions from scratch and took Warp from 0 to $2.5M. I am an engineer and I did bitcoin research (wrote code) at the MIT Media Lab for two and a half years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/varunramg/",
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        "full_name": "Sai Surbehera",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Lapis. Previously, I was an MLE at Walmart Tech where I built the recall and reranking algorithm for Walmart Search.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/saisamrit-surbehera/",
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      {
        "id": 94694,
        "title": "Lapis: The fastest, most accurate AI search analytics platform",
        "tagline": "Full stack analytics platform that shows you what users are searching and helps you rank higher on ChatGPT, Claude, Perplexity, Gemini, and Grok.",
        "body": "Hey everyone! We are [Varunram](https://www.linkedin.com/in/varunramg/) and [Sai](https://www.linkedin.com/in/saisamrit-surbehera/), and we’re building Lapis.\n\nThe way we access information is fundamentally changing and ChatGPT is the new default for a large number of people. Unlike Google which shows you a list of blue links to click on, ChatGPT adds additional context and traditional SEO elements like rank and authority are no longer relevant.\n\nHere’s a fun video that encapsulates this perfectly: https://youtube.com/shorts/A1zkkdpXsjM?si=TIR2PpnO9Du4DV2O\n\n# What is Lapis?\n\nLapis helps you rank on AI Search Engines (we currently support ChatGPT, Claude, Perplexity, Gemini, and Grok) without generating hundreds of blogs.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d7152bae-e95b-49de-b222-45d4b18a7359)\n\nWe manage to do this by extensively analyzing Model responses and a combination of real-time content fixes, technical SEO, and linking websites on domains that are mentioned in models.\n\n# Analyzing AI Search Models\n\nWe spend over 650M tokens a day understanding responses for our customers. We construct a super detailed graph of all websites that show up for a given question, analyze the referenced content, and organically insert content on similar pages. This gives us accurate knowledge on what works and what doesn’t work. We want to learn from the models themselves, not create a rough set of heuristics on what might work.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/fd2bcb1a-26e6-4e76-bf93-34b66739c122)\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/cd700a82-7da5-4eb8-9002-fd9152235052)\n\n# Changing Website Content Dynamically\n\nWe dynamically change your website content in real time for AI Search Engines. If Lapis is deployed on a company that does payroll software and a user asks a model “What is the best payroll software”, we highlight them as being the best payroll software and if a user asks “Can you create a comparison table with the top 10 payroll softwares”, we can highlight exactly where the company shines wrt other payroll providers. This removes the guesswork from landing pages for sales and marketing teams, and users and AI Agents get the information they are looking for.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d950c296-eaf8-4146-bc19-2d5ef8b2b621)\n\n# Removing the black box from Technical SEO\n\nWe fully take care of Technical SEO. For long, SEO has been this black box which no one understands. We solve that through Lapis Agent, which can automatically add meta tags, title tags, Opengraph URLs, sitemaps, and much more. For marketers, this means they don’t have to write code or trouble the engineering team. This also means they don’t have to spend hours with SEO teams on something that can be easily automated.\n\n# Discovering Hidden Markets\n\nMany times, teams don’t know that there’s a huge untapped market waiting for them. With our extensive analysis of prompts, we show all the queries for which businesses are actually showing up for, which means teams get insights into verticals where there’s huge untapped potential.\n\nWe want businesses to understand AI Search without the buzzwords. We want them to organically position themselves for this new shift, and to do so without generating spam content that actively harms website reputation.\n\nWe support over a hundred fast growing startups like Warp, Reducto, and Greptile on Lapis, and if you’re a founder or marketer, I think you’ll find a ton of value in using us.\n\nAnd its free to start, so check it out at trylapis.com!",
        "url": "https://www.ycombinator.com/launches/OdK-lapis-the-fastest-most-accurate-ai-search-analytics-platform",
        "votes": 535,
        "created_at": "2025-10-16T14:56:34.684Z"
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        "full_name": "Julius Körfgen",
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        "full_name": "Marvin Abdel-Massih",
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        "title": "Founder/CTO",
        "founder_bio": "Has 15 years of fullstack experience, was Head of Engineering at two former YC companies and won Product of the Month at Product Hunt.",
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        "title": "AI Marketing Strategist - San Francisco",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/aFjvQEb-ai-marketing-strategist-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "id": 93708,
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        "url": "https://www.ycombinator.com/companies/uplane/jobs/TEEElmy-ai-marketing-strategist-intern-san-francisco",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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        "id": 94434,
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        "visa": "US citizenship/visa not required",
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        "id": 96251,
        "title": "AI Marketing Strategist - Berlin (German Speaking)",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/lBJkLEw-ai-marketing-strategist-berlin-german-speaking",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
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        "experience": "1+ years",
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        "id": 113831,
        "title": "Growth Operations",
        "url": "https://www.ycombinator.com/companies/uplane/jobs/GjRkpRq-growth-operations",
        "location": "San Francisco, CA, US / Berlin, BE, DE / Berlin, Berlin, DE",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $130K",
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        "experience": "1+ years",
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        "url": "https://www.businessinsider.com/pitch-deck-uplane-raised-funding-to-replace-marketing-agencies-ai-2026-4",
        "date": "Apr 15, 2026"
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      {
        "id": 94720,
        "title": "Uplane: Replace your marketing agency.",
        "tagline": "Uplane increases return on ad spend by 20-50% by automating digital marketing with AI.",
        "body": "### TL;DR\n\nUplane (YC F25) is building AI software to replace marketing agencies.\n\nTheir AI has already created thousands of ads and landing pages, delivering a 20-50% increase in return on ad spend for their customers.\n\nCompanies waste billions on bad campaigns because they don’t have the time to do the research, personalization, and A/B testing to do the job right.\n\nUplane builds an all-in-one marketing platform that uses AI to create, launch, and test ad campaigns across Meta, Google, Taboola, TikTok, and others. The software delivers new, creative ideas, and gives full flexibility to ensure every marketing message is on brand and compliant.\n\nIn marketing, speed and analytics are essential. Humans simply can’t catch up with the speed and precision of AI.\n\nBook a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch) now.\\\n\\\nhttps://www.youtube.com/watch?v=rUhS6pz4-hs\n\n### Problem\n\nFor years, the promise of digital marketing has been data-driven revenue growth at scale. The reality for most marketers, however, is a losing battle fought with manual work.\n\nMarketing teams and their agencies are drowning in a sea of spreadsheets, unreliable data, and siloed ad platforms. They are buried in repetitive tasks: endlessly creating and testing ad variations, designing new landing pages, trying to make sense of the data, and manually shifting budgets across ads and channels. This makes it impossible to move at the speed and precision the market demands.\n\nThe result: billions of dollars are lost due to low-performing marketing campaigns. No human can do the manual work that is required to do the job right.\n\n### Solution\n\nUplane replaces manual work with AI automations.\n\n💡 **Phase 1) Insight & Creation:** Uplane analyzes the target audience, brand style, ads, competitors' ads, and even real-time market trends. It uses these insights to instantly generate thousands of ads and matching landing pages.\n\n🚀 **Phase 2) Launch & Management:** Select your favorite ads, and with a single click, campaigns go live across all channels. Uplane takes over, managing everything 24/7. It monitors performance and shifts budget to the ads and channels that deliver the highest return.\n\n📈 **Phase 3) Learning & Scaling:** Built-in dashboards give instant transparency. The insights from the data are not just useful for marketers but also for our AI. It continuously tracks ad performance, identifies best value propositions and designs, and gets smarter with every conversion. Thus, it creates better ads with every iteration.\n\n### Our Ask\n\nUplane is working hand-in-hand with ambitious companies that want to scale their marketing profitably, eliminate manual work, and make marketing that their customers love.\n\nWant more customers? Let’s talk.\n\n📅 Book a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch)\n\n👉🏻 Follow us on [LinkedIn](https://www.linkedin.com/company/uplane-com) and [X](https://x.com/uplane_com)\n\n💬 Share this post with people in your network",
        "url": "https://www.ycombinator.com/launches/Odk-uplane-replace-your-marketing-agency",
        "votes": 19,
        "created_at": "2025-10-17T17:21:33.522Z"
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    "all_locations": "London, England, United Kingdom",
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        "full_name": "Can Zehebi",
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        "full_name": "William Huang",
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        "title": "Sylvian: Data for LLMs through Competition",
        "tagline": "Sylvian incentivizes high quality expert data for LLMs through Competition",
        "body": "We are [William Huang](https://linkedin.com/in/william-s-huang) and [Niall Kehoe](https://www.linkedin.com/in/niallkehoe/), and we’re launching [Sylvian](https://sylvian.ai)! We gather expert data for LLMs through competitions, starting with tool use (e.g. Excel, VSCode).\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/cb059d06-59e0-402c-a49e-02752bbb9e17)\n\n**Problem**\n\nScaling laws dictate that LLMs continue to need lots of expert data, despite advances in RL. Even RL environments require data—for example, an environment that allows LLMs to edit spreadsheets in Excel would still require sample spreadsheets to define the task at hand.\n\nUnfortunately, existing data vendors like Scale or Mercor are not motivating the best experts through part-time pay.\n\n**Our Solution**\n\nSylvian hosts competitions where the best experts are motivated by the thrill of moving up leaderboards and the prestige of winning a large competition. We’re starting with tool use data because there are many expert communities surrounding tools like Excel and VSCode.\\\n\\\nWe already have 4,500+ experts, from IMO Golds to MIT/Stanford PhDs to full time QRs at Point72, producing data at 1B tokens/week!\n\nOur data is consistently at the frontier. Below is the result of one of our latest benchmarks we made with VSCode data from Data Science experts. See [sylvian.ai](https://www.sylvian.ai/blog/quant-benchmark) for more details.\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/b874f47f-fef0-46c4-b26c-0d60887aadc5)\n\n**Our Story**\n\nWilliam won an IPhO Gold at 17 and Niall has won international coding contests at 13, since then we’ve went on to be a part of Stanford CS, Harvard Medical School, Citadel Securities, Two Sigma, and Waymo. \n\n**Our Ask**\n\nIf you’re in need of expert tool use data, we’d love to speak to you! You can reach us at [founders@sylvian.ai](mailto:founders@sylvian.ai) or visit [sylvian.ai](https://sylvian.ai).",
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        "full_name": "Maitreya Wagh",
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        "full_name": "Prateek Sachan",
        "title": "Founder/CTO",
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        "date": "Jan 20, 2026"
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      {
        "title": "Bolna AI’s Bold Bet: Becoming the Distribution Layer for Every Voice Model",
        "url": "https://analyticsindiamag.com/ai-startups/bolna-ais-bold-bet-becoming-the-distribution-layer-for-every-voice-model/",
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        "id": 94216,
        "title": "Bolna - Voice AI for India",
        "tagline": "We enable Indian businesses to automate calls with multilingual, realistic Voice AI agents",
        "body": "Call our AI Agents at [+18722412481](tel:+18722412481) or [+912269539260](tel:+912269539260) to know everything about Bolna!\n\nhttps://www.youtube.com/watch?v=Lq9ouROmRHA\n\n**The Problem**\n\nIn India, phone calls remain the backbone of how businesses operate - from banks chasing loan repayments, to edtech companies qualifying leads, to e-commerce brands confirming deliveries. Millions of such calls happen every day. But the system is broken:\n\n* **20+ Languages, 200+ Accents/Dialects**: Building a team that can handle all is impossible. Calls often switch mid-conversation (Hindi → Hinglish → Gujarati), and only a natural, adaptive AI can follow along and give a personalised experience to each caller.\n* **Context-Dependent Requirements**: A delivery driver in Bangalore needs a low-latency, Kannada-capable model with high noise cancellation. A recruitment call to an engineer requires a slower but higher-quality reasoning model. There is no “one model to rule them all,” and integrating and managing 100s of models at scale is an unwanted hassle for businesses.\n* **Cost Efficiency at Scale**: In India, every rupee matters. Voice AI must be engineered for efficiency - pre-recorded messages for common utterances, smaller vertical-focused models, and intelligent routing to minimize token usage.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/bb2d0f37-0050-4606-8271-c8664a3d541b)\n\n**The Solution**\n\nBolna is a **Voice AI Platform** purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.\n\n* **Enterprise-grade performance**: Sub-500ms latency, interruption handling, multi-language (10+) and accent (50+) adaptation, fluent in natural multi-language conversations (Hinglish, English + Tamil etc.)\n* **India-specific routing**: Bolna automatically picks the optimal model blend for the context, regardless of language, region, or use case.\n* **Cost-efficiency engine**: Calls are optimized with pre-recorded inserts, cheaper small models where possible, and routing logic that prioritizes ROI without sacrificing experience.\n* **Complete control**: Enterprises define workflows, tone, and intelligence. Bolna handles everything behind the scenes.\n\nToday, Bolna powers **500K+ minutes of calls every month** across BFSI, e-commerce, and recruitment. Customers achieve **higher pickup rates, lower costs, and faster deployments** than with any alternative.\n\nFor Indian enterprises, Bolna is not just automation, it is the fastest path to scaling voice operations profitably.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/b5dd1f69-0a2d-4256-97d8-fc281cbccd14)\n\n",
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        "full_name": "Vincent Park",
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        "title": "Scoop: AI agents that speed up drug trials, starting with IND filings",
        "tagline": "We create ready-to-submit regulatory documents so new therapies can reach clinical trials faster",
        "body": "Hey everyone, we’re Jay and Vincent.\n\ntl;dr: Scoop uses AI to automate the paperwork required to start and maintain human drug trials, reducing timelines from months to days.\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/f682e615-6b6a-487a-b532-58158884d410)\n\n**The Problem**\n\nBiotechs spend months preparing the documentation required to start human trials. Most of the time goes into organizing results, rewriting information across many documents, and keeping everything consistent.\n\nCompanies often hire Contract Research Organizations(CROs), which run clinical trials and also help prepare these submissions. But their document assembly process is still manual and slow, so timelines stretch and costs rise.\n\nEvery update requires repeating the same work. This delays trials and wastes $$$ before a single patient is treated.\n\n**The Solution**\n\nScoop turns your internal data and study reports into a continuously updated submission workspace.\n\nOur system generates the draft documents in the required structure, keeps everything consistent when new data comes in, and flags anything that needs review. Teams focus on approving content, not assembling it.\n\nWhat used to take months can now be completed in days.\n\n**Impact**\n\nWe're compressing IND assembly from the order of months to days. For a typical biotech, that means:\n\n* Getting to first-in-human trials 2-5 months faster\n* Saving $100K+ in CRO fees per submission\n* Reducing rejection risk through automated compliance checks\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/5591f53a-d15a-449b-857d-c723e3535665)\n\nWe met at UPenn 16 years ago (yes, it’s been a minute) and have been best friends ever since.\n\nVincent led AI-powered document processing for Fortune 10 companies at Persona, automating KYB/KYC workflows at massive scale. Previously, he was a tech lead at Dropbox.\n\nJay was a tech lead in Google Search AI and previously worked at biotechs including Genentech, and has helped file INDs and led statistical design work for a Phase 3 ALS clinical trial. He holds two MS degrees in both Biotechnology and Computer Science.\n\nWe've seen both sides of this problem: the AI capabilities that can solve it and the regulatory complexity that makes it hard.\n\n**Our Ask**\n\nWe’d love warm introductions to regulatory leads at biotechs or CROs who want to accelerate IND preparation and modernize their submission workflows.\n\n📨 [founders@scooplabs.ai](mailto:founders@scooplabs.ai)\n\nThanks!",
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        "full_name": "Arman Kumaraswamy",
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        "full_name": "Rohil Agarwal",
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        "founder_bio": "What is up! Previously studied EECS + Business at UC Berkeley M.E.T. and worked on Gmail Intelligence at Google, where I built models powering intent detection for 26B+ daily emails.\n\nNow building The Context Company, where we are powering developers to ship AI agents they can trust. I'm excited about solving context engineering 🙃\n\nOh, and I take one selfie every day!",
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        "title": "The Context Company - Catch Silent AI Failures Before They Break Production",
        "tagline": "Full observability for AI agents, from bad tool calls, loops, and hallucinations to latency and cost, in 10 lines of code.",
        "body": "What is up! We’re [Arman](https://www.linkedin.com/in/armankumaraswamy/) and [Rohil](https://www.linkedin.com/in/rohil-ag/) - cofounders of [The Context Company](https://thecontextcompany.com)\n\n**TL;DR**\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/129e5656-94c6-42e6-a2ba-6ac545b0ef94)\n\nSetup takes under 10 lines of code, and we now support Vercel AI SDK, LangChain, and LangGraph, with more frameworks coming fast.\n\n**Our Ask**\n\n* If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.\n* Setup takes just a few lines - DM us on Bookface or Slack, or email [founders@thecontextcompany.com](https://mailto:founders@thecontextcompany.com), and we’ll personally onboard you in 15 minutes.\n* Not using those frameworks yet? Tell us what you’re building with, and we’ll add support fast.\n\n<https://youtu.be/5FVesVO9egg>\n\n**The Problem**\n\nAI agents often fail quietly. Traditional observability tools only show latency or stack traces. They miss the silent layer of failures that happen inside reasoning steps or tool calls.\n\nMost teams end up waiting until users report issues, and by then, it’s already too late. As a developer, I know you’ve been there scrolling through endless logs, trying to piece together what an agent actually did and why it failed (because trust us, we have too 🙏🏽).\n\n**We’re rethinking observability from the ground up and making silent failures a first-class primitive in agent monitoring.**\n\n\\*\\*Our Solution:\\*\\*\\\nInstead of just visualizing traces, we analyze them and detect reasoning breakdowns across runs. In addition to traditional metrics like latency, cost, and token usage, The Context Company surfaces failures in a clean, developer-friendly dashboard.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/861e36d0-5a8b-4555-a738-e2489729f99f)\n\nAnd we’ve gone beyond the cloud:\n\nYou can now run our developer package locally to debug traces on your machine, even when you’re offline or iterating fast.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/b7722f3f-a018-4c46-806c-7ef4be35bd44)\n\n**Our Progress**\n\n* Framework support: Vercel AI SDK, LangChain, and LangGraph.\n* Instant setup: &lt;10 lines of code - no refactoring or modifying your agent needed. This is what it looks like:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/560baa96-5818-4d20-bf82-43f2d3775ca3)\n\n* Local debugging: Run observability locally on your laptop for real-time trace analysis.\n* Dashboards: Full visibility into agent runs, tool calls, latency, costs, and semantic failures.\n\n**The Team**\\\nArman and Rohil have been best friends since 6th grade (8+ years now!). \n\nArman optimized the public-facing AI agent at Mintlify, where he cut failure rates by 82%, and worked with enterprise design partners to build custom agents. Rohil worked on Gmail Intelligence at Google, reducing hallucinations in intent detection by 27% across 26B+ daily emails. \n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/70e7935c-7606-4e8f-a7af-4ebf44cf5514)\n\nhttps://www.thecontextcompany.com\n\nP.S. Even if you’re not using AI SDK, LangChain, or LangGraph, we’re adding support for other frameworks soon. Tell us what you need 😎\\\n\\\n\\\nDashboard:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/e9425baf-3e5f-4098-b64f-497a74232f5a)\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/ece01a4a-5089-46dd-a12a-eeef441f5cd3)\n\n",
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        "title": "dari.dev - The easiest way to deploy your agents to production",
        "tagline": "Get a versioned, stateful API for your long-running agent in 5 minutes",
        "body": "Point our CLI at your agent project, run `dari deploy`and get a production-ready agent API.\n\n<https://youtu.be/Y6CdktXcF24>\n\n## What it is\n\n[dari.dev](http://dari.dev) turns an agent project into a **versioned, stateful API endpoint**. We’re building on top of the best open-source harnesses starting with **Pi**. Support coming soon for **Hermes** Agent. Book a call to deploy your proprietary harness.\n\n### How it works:\n\n* Drop a dari.yml + tools + skills at your repo root\n* “dari deploy .” uploads a snapshot and publishes a new version behind a stable agent URL\n* Clients open a **durable session** and stream multimodal events (text, files, images)\n* The platform runs the harness, spins up a sandbox workspace per session, and handles logs, retries, and credentials\n* New publishes create new versions. In-flight sessions stay pinned to the version they started on\n\n## The problem:\n\nIf you're building an agent right now, you're probably:\n\n* Stitching together durable execution + a sandbox provider + Postgres + a secret store yourself\n* Losing state when a turn crashes mid-execution\n* Shipping “agents” that can’t survive a 30-minute task\n* Rebuilding the same infra (auth, retries, workspace, logs) on every project\n\nMost agents break mid-task.\n\n## With [dari.dev](http://dari.dev):\n\n* **Durable sessions:** Long-running tasks survive crashes, restarts, and redeploys. Resume from the same session_id days/months/years later.\n* **Versioned deploys:** Every publish is a new version behind one stable URL. Roll forward without breaking live sessions.\n* **Bring your own sandbox:** Sandboxes run under your provider account and API key. You control limits and data. E2B today, Daytona / Blaxel / Modal coming soon.\n* **BYOK with OpenRouter / any OpenAI-compatible API endpoint:** Use your own key, pick your model, control spend, keep logs.\n* **Custom tools**: Drop Python or TypeScript tools under tools/&lt;name&gt;/. We run them with retry policies you define.\n\n**The API:**\n\nPublish once. Then, create a session and send messages + stream responses.\n\nWe provide full observability, session-level event logs, per-turn state, and workspace file outputs attached to the session lifecycle.\n\n## Why we built this\n\nWe started building browser automation agents and kept hitting the same missing primitive, a durable control plane underneath.\n\nWe built it for ourselves, then realized every other team shipping agents (coding, research, ops) is rebuilding the same layer.\n\nIf you’ve wired together durable execution + a sandbox provider + Postgres + a secret store just to run one agent in prod, this is for you.\n\n## Get access\n\n* App: [app.dari.dev](http://app.dari.dev), docs: [docs.dari.dev](http://docs.dari.dev)\n* Install the CLI, run `dari auth login`then publish from your repo\n* Pricing: Either you pay your providers directly (E2B + OpenRouter/OpenAI) or use our managed Anthropic/OpenAI/OpenRouter offerings. No markup from us initially.\n\nBook a call: calendly.com/avyay-dari/30min or email me at [avyay@dari.dev](mailto:avyay@dari.dev).",
        "url": "https://www.ycombinator.com/launches/QL6-dari-dev-the-easiest-way-to-deploy-your-agents-to-production",
        "votes": 4,
        "created_at": "2026-05-12T22:10:48.140Z"
      },
      {
        "id": 94481,
        "title": "Dari - The easiest way to build reliable browser use agents",
        "tagline": "Build browser agents that can cache workflow steps and handle two-factor authentication. ",
        "body": "Hey everyone,\n\nWe’re [Ben](https://www.linkedin.com/in/benjaminyhong/) and [Avyay](https://www.linkedin.com/in/avyayv/), the cofounders of [Dari](https://www.usedari.com)!\n\n**Tl;dr**\n\nhttps://youtu.be/qE8wWHLhcv0\n\nWe've built the first browser automation platform reliable enough for production. While other agents fail on repetitive tasks, Dari caches successful workflows and handles 2FA automatically, making browser automation actually work for real businesses.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3189ec11-b583-4b3e-94a8-a489ace5f2a0)\n\n❌ **The Problem** / ✅ **Our Value**\n\nRunning regular browser use agents as-is has limited viability for repetitive tasks. They're too slow, too expensive, and too unreliable. And forget about authenticated sites: most agents can't handle 2FA at all.\n\nDari is different. We're purpose-built for production use, combining intelligent caching with automatic 2FA handling so your automations actually run reliably, day after day.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3282af1a-0e2b-4e5b-a6ef-24962de4c65e)\n\n**💪 Our 3 Core Strengths**\n\n**1. 🔒 2FA That Actually Works: Automate Authenticated Workflows**\n\n* **Universal 2FA support:** Automatically handles text message codes, TOTP authenticators, and email verification.\n\n**2. ⚡ Intelligent Caching: Fast and Reliable**\n\n* **Run once, cache forever:** After running a workflow with an LLM once, Dari can replay the workflow using deterministic DOM steps\n* **Fallback intelligence:** If a site changes, Dari automatically detects it, adapts, then caches the new path\n* **Why other agents fail:** Regular browser-use agents call LLMs on every single run. Dari only uses AI when needed.\n\n**3. 🧩 Built for Developers: Real Integration, Not Toys**\n\n* **Chat-to-automation:** Describe your workflow in plain English and get a working automation in seconds.\n* **API-first triggers:** Start workflows via POST request, integrate directly into your stack.\n* **Webhook & Wait:** Call your backend mid-workflow, run custom code, and continue the automation seamlessly.\n\n**💥 Real Impact**\n\n* A voice AI company automated data entry and form filling tasks, saving 10+ hours per week.\n\n**🧑‍💻🧑‍💻 How we got here**\n\nWe’re two Caltech CS grads who have previously worked on software at Amazon and Uber. \n\nWe’ve been building with browser use agents since the initial model releases and were constantly frustrated by how unreliable they were for production use-cases. We built Dari to fix the problems we’ve noticed since the start. \n\n**🎉 Get Started**\n\nSign up or schedule a demo at [usedari.com](http://usedari.com) or contact us at [founders@usedari.com](mailto:founders@usedari.com). ",
        "url": "https://www.ycombinator.com/launches/OZt-dari-the-easiest-way-to-build-reliable-browser-use-agents",
        "votes": 21,
        "created_at": "2025-10-08T16:09:36.103Z"
      }
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  },
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    "id": 30867,
    "name": "Soren",
    "slug": "soren",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png",
    "website": "https://soren-ai.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Soren is an AI-native engineering firm that helps traditional businesses put AI to work.\r\n\r\nWe combine world-class engineering talent with AI-powered delivery to modernize legacy systems, build intelligent software, and solve complex business problems.\r\n\r\nBy pairing human expertise and judgment with the speed and efficiency of AI, we deliver better technology, faster and at a fraction of the cost of traditional engineering firms.\r\n",
    "one_liner": "The AI Transformation Company",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759390917,
    "tags": [
      "B2B",
      "Enterprise Software",
      "Operations",
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/soren",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/soren.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/soren-ai-inc",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 2568519,
        "full_name": "Kevin Xie",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Soren. Studied AI + Math at MIT. Former researcher at MIT, Harvard, and Johns Hopkins across neural reasoning, AI reliability, and MRI. Published in Nature BME. Worked at a handful of venture-backed startups before founding Soren. Former top-150 U.S. tennis player.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinxie06",
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    "jobs": [
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        "id": 102000,
        "title": "Growth Intern",
        "url": "https://www.ycombinator.com/companies/soren/jobs/Q1niW87-growth-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$6K - $11K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 116306,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/soren/jobs/Hc2oUbv-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$120K - $250K",
        "equity_range": "0.50% - 4.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "id": 30874,
    "name": "Minro",
    "slug": "minro",
    "former_names": [
      "Iris"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f77542ef92b9a995fd50ddb381187d909ec7f5fd.png",
    "website": "https://minro.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Minro helps companies stay close to their users as they scale.\r\n\r\nToday, most startups have thousands of product events flowing through tools like PostHog, but still have no real understanding of who their users actually are, which users are quietly about to churn, or what outreach actually brings them back. Founders care deeply about their users, but staying close to them becomes operationally impossible very quickly.\r\n\r\nMinro plugs directly into a company’s analytics stack and turns product activity into living customer intelligence. We enrich every user with context like their company, role, LinkedIn/GitHub/Twitter, background, and likely use case, currently matching users to the correct online identity with ~80% accuracy starting from just name + email.\r\n\r\nWe then identify which users are most likely to churn based on behavioral patterns, persona similarity, and historical retention signals, and help founders proactively reach out before those users disappear. Minro drafts highly contextual founder-style outreach, tracks which conversations actually convert into retention, and continuously improves the system over time.\r\n\r\nThe result is a customer intelligence and retention layer that helps companies understand their users better, build stronger relationships, and reduce churn before it happens.",
    "one_liner": "Identify churn risk and stay close to users at scale",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1762405247,
    "tags": [
      "B2B",
      "Customer Success"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "We’re cousins who’ve been building things together since we were kids. Samika had already founded a company before Iris building scalable enterprise agents. Siddhant has been coding since he was 11 years old and loves building complex systems in the form of consumer applications (12 apps in production, 2500+ active users)\r\n\r\nIris started as something we built for ourselves. We were constantly overwhelmed by scattered calendars, inboxes, and tasks and every “assistant” tool felt either too rigid or too dumb. So we decided to build one that actually understood us, combining the reliability of deterministic systems with the intuition of LLMs."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started Iris as a side project to fix our own scheduling chaos with a good user experience. The first prototype synced our calendars and emails, and within hours it was already making our days smoother. That’s when we realized how big this could be.\r\n\r\nA major inflection point was meeting Adam Cheyer, the founder of Siri. His advice reframed how we thought about the problem - it wasn’t just a UX challenge, it was an engineering problem. We then brought on one of Siri’s founding engineers as a technical advisor, which shaped our architecture around deterministic logic combined with adaptive LLM reasoning.\r\n\r\nThat shift (from “AI wrapper” to hybrid intelligent system) became the foundation of Iris. "
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "The core problem is cognitive overload because people are drowning in context switching between calendars, emails, and apps just to stay organized. Productivity tools today still expect you to manage them. They don’t understand how you work and make you configure rules and routines that fall apart when real life changes.\r\n\r\nWe felt that pain deeply ourselves. Both of us are neurodivergent so motivation wasn’t the issue, context was. We didn’t need another to-do list but we needed something that understood our rhythm and made intelligent decisions for us.\r\n\r\nIris exists to eliminate that friction. It learns how you work, automates the repetitive decisions, and keeps you focused on what actually matters. This problem is universal, everyone struggles to stay on top of their time. Solving it unlocks human attention at scale."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "In the future, everyone will have their own Iris: an assistant that actually knows them - how they work, who they meet, where they go and helps them stay a step ahead. When two people both use Iris, their assistants can coordinate directly, handle logistics, and clear out the noise before it reaches them.\r\n\r\nAt scale, this becomes the foundation for how individuals and teams organize time - from one person’s calendar to entire companies. Iris is how people will work when AI truly understands context."
      }
    ],
    "url": "https://www.ycombinator.com/companies/minro",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/minro.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/minroo",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2525740,
        "full_name": "Samika Sanghvi",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder @ Minro YC F25",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samika-sanghvi",
        "x_url": "https://x.com/sampear_12?s=21",
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      {
        "user_id": 2979646,
        "full_name": "Siddhant Lad",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Minro",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sidlad/",
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    "id": 30877,
    "name": "Trelium",
    "slug": "trelium",
    "former_names": [
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    "website": "https://www.trelium.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Trelium lets enterprise teams build AI agents in simple English to automate back-office work. We serve companies handling custom and bulk operations, including distributors, suppliers, and decorators across the print, merch, and apparel industries, automating workflows like order entry, purchase order creation, PO-invoice matching, order-status follow-ups, and many more.",
    "one_liner": "AI Agents for Enterprise Wide Operations",
    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759277752,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Enterprise Software",
      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/trelium",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/trelium.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/questom-inc/",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 2543329,
        "full_name": "Abhimanyu Yadav",
        "title": "Founder/CEO",
        "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhiy1",
        "x_url": "https://x.com/not_by_default",
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      },
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        "user_id": 1608276,
        "full_name": "Ritanshu Dokania",
        "title": "Founder/CTO",
        "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ritanshudokania",
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      {
        "id": 89120,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/trelium/jobs/UBebsyO-founding-engineer",
        "location": "IN / Remote (IN)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$25K - $35K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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    "launches": [
      {
        "id": 121520,
        "title": "Paul by Trelium",
        "tagline": "An AI automation scout that finds repetitive work and shows your team what to automate.",
        "body": "Meet Paul, an agent built on Trelium to be our Lazy Champion and automation scout 🐧 His job is simple: figure out where your team could be doing less. \n<https://www.youtube.com/watch?v=sjyM_gIDmB0>\nOver the last year, we rebranded Questom to Trelium and evolved from building AI agents for B2B inbound sales into a platform where non-technical enterprise teams can build deterministic AI agents in simple English to automate back-office work across the tools they already use. Since then, we have been creating value for distributors, suppliers, and decorators across print, merch, and apparel by helping them automate work like order entry, purchase order creation, PO-invoice matching and a lot more.\n\nIn sales calls, we keep hearing the same thing: “We want to use AI, but we do not know what to automate.” The funny part is that figuring this out is still extremely manual. AI audits usually mean workshops, interviews, process maps, and asking people to remember all the repetitive things they do. But the work wasting the most time is often so routine that nobody even remembers to mention it.\n\nSo we thought, why not make Paul? Paul is an agent built on our own platform, and now he is available to everyone. Connect him to places like email and chat, and he watches how work actually moves across your team, spots repetitive processes, and tells you what is worth automating. He might notice someone doing the same tiny task 40 times a week because apparently copy-paste has become a job description. Instead of a giant consulting deck, Paul gives you the opportunity, the reasoning behind it, and a ready-made prompt to build that agent on Trelium.\n\nWe have been using Paul on ourselves too, and unfortunately he keeps finding things. The idea is simple: spend less time talking about “adopting AI” and more time removing work nobody wanted to do in the first place. Paul has mastered laziness. We are trying to catch up. 🐧\n\n[trelium.com/PaulThePenguin](http://trelium.com/PaulThePenguin)\n",
        "url": "https://www.ycombinator.com/launches/Vc0-paul-by-trelium",
        "votes": 3,
        "created_at": "2026-10-11T22:23:55.414Z"
      },
      {
        "id": 95375,
        "title": "Questom: AI Agents for B2B Inbound Sales",
        "tagline": "We build AI agents that answer inbound calls, emails, and chats for B2B companies, collecting requirements, quoting orders, sending updates, and turning conversations into revenue.",
        "body": "Hey everyone, Ritanshu and Abhimanyu here from Questom.\n\nWe’re building **AI agents that handle the everyday conversations B2B companies rely on to sell.**\\\n\\\n[**Questom: AI Agents for Sales**](https://youtu.be/EkodDghaQ4A)\n\n## **TL;DR**\n\nMost B2B revenue still runs through **phone calls and emails**, not websites.\n\nTeams struggle to:\n\n* answer every inquiry\n* follow up consistently\n* collect details cleanly\n* apply the right catalog + pricing rules\n* generate accurate quotes\n* and keep customers updated\n\nQuestom trains **AI sales agents** that do all of this automatically, using your workflows, your rules, your language, and your systems.\n\nOur agents live directly inside the communication channels B2B teams already use:\n\n**📞 Phone • 📧 Email • 💬 Chat • 📱 SMS**\n\nThey handle inbound conversations end-to-end and hand off to humans only when needed.\n\n# **🚨 The Problem**\n\nAcross wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:\n\n**Revenue depends on conversations.**\n\nEvery day teams handle:\n\n• “Can you do this?”\n\n• “How much will it cost?”\n\n• “Can I get it by Friday?”\n\n• “Where’s my order?”\n\n• “Can I change something?”\n\nBut these companies run lean.\n\nSales, operations, and customer service are often the _same people_ juggling:\n\n* quoting\n* re-quotes\n* customer updates\n* scheduling\n* inventory/lead-time questions\n* supplier coordination\n* repeat jobs\n* production constraints\n\nWhen things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.\n\nThis creates:\n\n* Missed revenue\n* Burnt-out teams\n* Customers who don’t come back\n* An invisible tax on growth\n\nPeople think “chatbots” solve this, but bots don’t understand:\n\n* catalogs\n* pricing rules\n* discounts\n* exceptions\n* minimums\n* production timelines\n\nB2B sales is _not_ FAQ automation.\n\nIt’s conversational problem-solving.\n\n# **💡 The Solution**\n\n**Questom builds AI sales agents that run your inbound sales process.**\n\nThey learn:\n\n* your catalog\n* your pricing\n* your discounts & exceptions\n* your constraints\n* your approval flows\n* your lead times\n* your edge cases\n* your CRM/ERP logic\n\nThe agent:\n\n* answers instantly\n* asks the right questions\n* collects order requirements\n* applies your pricing logic\n* generates quotes and revisions\n* manages follow-ups\n* sends status updates\n* and pushes structured orders into your ERP/CRM\n\nWhen needed, the agent hand-offs to a human with full context, so nothing gets lost.\n\n### **Operational impact:**\n\n* Faster first responses\n* Fewer missed inquiries\n* More accurate quoting\n* More deals closed\n* Less repetitive messaging\n* Happier customers\n* Less load on your team\n\n# **⚡ Early Results**\n\nAcross our pilots with wholesalers, print companies, and multi-location brands:\n\n* Up to **50%** of inbound sales conversations fully automated\n* Meaningful **AOV lift** from smart upsells\n* Backlogs cleared within days\n* More quotes sent → more revenue captured\n* Teams finally able to focus on higher-value work\n\n# **👥 About Us**\n\n**Ritanshu** grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.\n\n**Abhimanyu** spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.\n\nWe’re combining **deep B2B operational understanding** with **real applied ML** to solve one of the oldest, hardest problems in the industry:\n\n**turning everyday conversations into revenue automatically.**\n\n# **🤝 Our Ask**\n\nIf you know a B2B company that:\n\n* handles lots of inbound calls\n* quotes custom or configured orders\n* relies heavily on phone or email\n* struggles with response time\n* or is drowning in repetitive sales conversations\n\nWe’d love to talk.\n\n📩 [founders@questom.ai](mailto:founders@questom.ai)\n\n📅 [Book a meeting](https://cal.com/meetabhimanyu/investor-chat)\n\n![uploaded image](/media/?type=post&id=95375&key=user_uploads/89898/659e2fe4-f8b3-48cb-8421-7de00c3b637b)\n\n",
        "url": "https://www.ycombinator.com/launches/OoJ-questom-ai-agents-for-b2b-inbound-sales",
        "votes": 20,
        "created_at": "2025-11-10T19:13:01.810Z"
      }
    ]
  },
  {
    "id": 30889,
    "name": "Alder",
    "slug": "alder",
    "former_names": [
      "Nivara AI",
      "Nivara",
      "Terrain",
      "Nivara"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f394904d91685ab676105f88e9090848b7a6f1b2.png",
    "website": "https://meetalder.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We’re building AI employees for finance teams. They handle repetitive work across email and accounting systems - processing documents, following up on open items, reconciling records, and resolving exceptions while people retain approval and oversight.",
    "one_liner": "AI employees for finance, starting with accounts receivable. ",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
    "launched_at": 1761077242,
    "tags": [
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Finance and Accounting"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/alder",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/alder.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nivara-hq",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f394904d91685ab676105f88e9090848b7a6f1b2.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
      {
        "user_id": 153937,
        "full_name": "Tejas Agarwal",
        "title": "Founder/CEO",
        "founder_bio": "Building Alder, an AI employee for accounts receivable. Previously built the compliance systems that paid 5M+ Uber drivers weekly. Ex-Intuit QuickBooks, UW-Madison.\n\nPassionate about building great teams, and delivering value to users.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/teagarwal",
        "x_url": "https://x.com/teagarwal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dea32f11ce722c286fe4379b20e9d6e0e512c8b7.jpg"
      }
    ],
    "jobs": [
      {
        "id": 108089,
        "title": "Technical GTM / Founders Office Intern",
        "url": "https://www.ycombinator.com/companies/alder/jobs/rPtK6G4-technical-gtm-founders-office-intern",
        "location": "IN / Remote (IN)",
        "type": "Internship",
        "role": "Sales",
        "role_type": null,
        "salary_range": "₹40K - ₹100K INR",
        "equity_range": "",
        "experience": null,
        "visa": "US citizenship/visa not required",
        "skills": [
          "Python",
          "LLMs"
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 117263,
        "title": "Alder: the AI employee that gets you paid",
        "tagline": "Alder finds out why your cash is stuck and gets it moving",
        "body": "Hey everyone, I'm Tejas, founder of Alder. 👋\n\n**TL;DR: Alder is an AI employee for accounts receivable. It works your receivables like a great AR hire: it finds out why a payment is stuck, follows up with the right person, and gets it moving. Nothing goes to your customer without your OK.** \\\n\\\nOur ask: if your team spends time chasing invoices and getting paid, send them to us. We'll work them for you, free for two weeks. Book 30 minutes at [meetalder.com/demo](http://meetalder.com/demo?utm_source=launchyc) or email [founders@meetalder.com](mailto:founders@meetalder.com).\\\n\\\n**Invoices don't get refused. They get stuck.**\n\nIn the US, 43% of B2B invoice value is overdue at any given time, and another 5% gets written off. Most of it is stuck.\n\n\\- A PO number is missing, so the invoice can't be approved\\\n\\\n\\- The customer's AP portal rejected it, and the notice went to an inbox nobody checks\n\n\\- The AP contact left or is on leave, and nobody else owns it\n\n\\- \"It's on Friday's payment run\", and Friday comes and goes\n\nWe learned this the hard way selling to a large bank: our champion left, the AP team had never heard of our contract, the new contact went on maternity leave, and then someone needed two weeks to verify our bank details. Eight emails and one very polite phone call later, we got paid.\\\n\\\nUnsticking each invoice takes a person who can diagnose the blocker, find the new owner, send the right document, and remember what was promised three weeks ago. Today that's your AR team or an outsourced BPO, and most AR tools just help them track the work instead of doing it.\\\n\\\n[Meet Alder](https://www.youtube.com/watch?v=XTU1QKoMoU8) **- your AI accounts receivable employee:**\n\nWhat Alder does\n\n\\- **Knows what's outstanding.** Reads open invoices from your ERP, plus past replies, attachments, and incoming payments\n\n\\- **Diagnoses before it writes.** Works out why each invoice is late first\n\n\\- **Checks with you.** Anything customer-facing waits for your approval\n\n\\- **Does the work**. Follows up in the original email thread, submits and fixes invoices in Coupa and Ariba, tracks every promise to pay\\\n\\\n\\- **Tells you when it's done.** Posts to Slack as work completes, so you always know where every invoice stands.\\\n\\\n**Team**\\\nBefore Alder, I built compliance systems that paid 5M+ Uber drivers every week, so I've seen what happens when money has to move on rules. Agents are going to be very good at this work: it's repetitive, it runs on clear rules, and it needs someone who never forgets to follow up. More than $100 trillion in B2B payments moves every year. We’re starting with getting you paid, and Alder will take on more of the back office from there.\\\n\\\n**Try it:** We'll work your overdue invoices for **two weeks, free, no commitment**. Book 30 minutes at <https://meetalder.com/demo> or email [founders@meetalder.com](mailto:founders@meetalder.com).",
        "url": "https://www.ycombinator.com/launches/UVL-alder-the-ai-employee-that-gets-you-paid",
        "votes": 6,
        "created_at": "2026-09-28T19:35:48.904Z"
      }
    ]
  },
  {
    "id": 30894,
    "name": "Unsiloed AI",
    "slug": "unsiloed-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png",
    "website": "https://www.unsiloed.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets.\r\n\r\nOur APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.",
    "one_liner": "API for parsing multimodal unstructured data",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1759119503,
    "tags": [
      "B2B",
      "Infrastructure",
      "AI",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/unsiloed-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/unsiloed-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/unsiloed-ai",
    "x_url": "https://x.com/UnsiloedHQ",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/unsiloed-ai",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/078b943a7238682920862bf5368e98a5b340997d.png"
    ],
    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 879419,
        "full_name": "Aman Mishra",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Unsiloed AI • IIT Kharagpur\n\nPreviously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aman005/",
        "x_url": "https://x.com/__Aman_Mishra",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4bb76f1ec54978aaf3cce9053ad7e1808c01338.jpg"
      },
      {
        "user_id": 2381336,
        "full_name": "Adnan Abbas",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur\n\nBuilt multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adnan-abbas-903b711a2",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5d0a35df645a59a83211a7fc63a99585bff4b90.jpg"
      }
    ],
    "jobs": [
      {
        "id": 87605,
        "title": "Founding Software Engineer - Backend and Infrastructure",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 87808,
        "title": "Founding ML Researcher",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$200K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "CUDA",
          "Computer Vision",
          "Data Analytics"
        ]
      },
      {
        "id": 95433,
        "title": "Founding GTM Lead",
        "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/ePft6Ux-founding-gtm-lead",
        "location": "San Francisco, United States",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 95076,
        "title": "Unsiloed AI: Make Unstructured Data LLM-Ready",
        "tagline": "We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.",
        "body": "Hey YC, we are [Aman Mishra](https://www.linkedin.com/in/aman005/) and [Adnan Abbas](https://www.linkedin.com/in/adnan-abbas-903b711a2) from [Unsiloed AI](https://www.unsiloed.ai/).\n\n**TL;DR:** _Unsiloed AI is building the most accurate APIs for ingesting multimodal unstructured data like PDFs, PPT, DOCX, tables, charts, and images, and converting it into structured Markdown and JSON for downstream LLMs and AI Agents._\n\nWe are already processing millions of pages of complex documents each week for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups in accuracy-sensitive domains like finance, legal, and healthcare.\n\nhttps://youtu.be/ULDK5dgfgzM\n\n**The Problem**\n\nMore than **80% of enterprise data is multimodal and unstructured**. AI teams spend **6+ months** building accurate document‑ingestion pipelines that keep breaking.\n\n* From the tons of open‑source solutions out there, it’s still tough to achieve superior accuracy on even mildly complex cases.\n* Traditional OCRs are static and break with changing layouts.\n* LLMs, although good at comprehension, suffer at **deterministic extraction**, making them unreliable for accuracy‑sensitive domains like finance and healthcare.\n* Early‑stage vertical AI teams end up becoming **document AI companies**, reinventing the wheel, as evident from **300+ conversations** we’ve had with AI teams of all sizes.\n\n**Solution (What we built)**\n\nWe combine **vision models** with **OCR‑based models** to accurately extract information from complex documents.\n\n**1) Pre‑processing & Segmentation**\n\n* We segment data into **texts, tables, images, and plots** using specialized models for each task.\n* We use a **heatmap‑based chunking** technique that first generates **pivot elements** from the document. Pivot elements are the elements of importance, e.g., **numbers and merged cells in tables**.\n* This chunking strategy ensures all related pieces of information are preserved in the **same chunk** (e.g., a table spanning multiple pages, rows split across pages), while unrelated information is split across chunks. The result: retrieval feeds **only accurate, complete‑context chunks** to LLMs.\n\n**2) Dual‑Stream Representation**\n\nPost pre‑processing, we pass the segmented chunks through **two parallel streams**:\n\n* **Data Stream:** preserves the **extracted content**.\n* **Layout Stream:** preserves the **actual layout & hierarchy** (indentation, alignment, clause/sub‑clause structure).\n\nThis matters because the data is not just text and numbers the **structure carries meaning** (e.g., a right‑aligned cell in a financial table or the way clauses/sub‑clauses are arranged). The dual stream captures both **semantic content** and **structural cues**.\n\n**3) Domain‑Specific Decoder**\n\n* A decoder consumes both the streams and structures the outputs as per the required **JSON schema** or **Markdown**.\n* We incorporate **domain‑specific ontologies** (finance, healthcare, legal).\n* An in-built **RL pipeline** to train the decoder when outputs involve internal terminology that is hard to capture using a general LLM.\n* We generate **confidence scores** for each extracted item; **low‑score items** are collected over time to run **fine‑tuning jobs**\n\nWe can run all of this under fully air-gapped on-premise environments as well for privacy-sensitive verticals.\\\n\\\n**Here are some sample outputs generated by our Vision Models:**\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/fdfed5e7-994a-47d3-9357-b20b1d2a3b67)\n\nPIE Chart formatted markdown\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/7e78481c-6898-4bfe-a6d8-c49ada7cef52)\n\nJSON output from handwritten, scanned docs, along with confidence scoring and citations.\\\n\\\n**Our Progress:**\n\nWe are already processing millions of pages for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups (including 10+ YC startups) across finance, legal, and healthcare. On public benchmarks, we consistently outperform solutions from LlamaIndex, Gemini, Mistral, and [**Unstructured.io**](http://Unstructured.io)**,** among others.\n\nHere is a representation of the volume of pages we have processed, stacked on top of each other.\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/849f06b2-5d8d-4c77-8b73-40f6661a3f92)\n\n**Our Ask:**\n\nParsing **PDFs, images, PPTs,** or **Excel files** for your **Vertical AI** use case or **RAG** pipeline? Give [**Unsiloed AI**](https://www.unsiloed.ai/) a try. We turn months of ingestion work into one API call for every document type.\\\n\\\nSign up on [**unsiloed.ai**](http://unsiloed.ai) to give it a try (no credit card needed)\\\n\\\n**For any queries or feedback**:\\\n\\\nShoot us an email at [**founders@unsiloed.ai**](mailto:founders@unsiloed.ai) \\\nPing on WhatsApp/iMessage at +1 415 996 5878 (Aman)\\\nWebsite: [**https://www.unsiloed.ai/**](https://www.unsiloed.ai/)",
        "url": "https://www.ycombinator.com/launches/OjU-unsiloed-ai-make-unstructured-data-llm-ready",
        "votes": 52,
        "created_at": "2025-10-31T20:18:08.350Z"
      }
    ]
  },
  {
    "id": 30900,
    "name": "LogosGuard",
    "slug": "logosguard",
    "former_names": [
      "Logos AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/028016b5518081901c8e2d5a5483ea0f04a88946.png",
    "website": "https://logosguard.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Use AI tools like ChatGPT, Claude, and Gemini safely without leaking sensitive data. LogosGuard redacts your private information before the prompt ever leaves your device.",
    "one_liner": "The sensitive data redaction layer for AI",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1762810607,
    "tags": [
      "B2B",
      "Compliance",
      "Security",
      "Cybersecurity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/logosguard",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logosguard.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/logosguard/",
    "x_url": "https://x.com/logos_guard",
    "fb_url": null,
    "cb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/028016b5518081901c8e2d5a5483ea0f04a88946.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 1360462,
        "full_name": "Abel John",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder at Logos Guard",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abel-john-85a7551b6",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2676fb12a3376b0738c096529889dfbc776c9310.jpg"
      },
      {
        "user_id": 1963504,
        "full_name": "Sukrut Oak",
        "title": "Founder/CPO",
        "founder_bio": "Cofounder at LogosGuard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sukrut-oak/",
        "x_url": "https://x.com/sukrut_oak",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00a28be2c7282668c2d86a62afa38131143eef20.jpg"
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    "launches": [
      {
        "id": 95396,
        "title": "LogosGuard: The risk management software for enterprises adopting AI",
        "tagline": "Evaluate your AI risk, responsibly.",
        "body": "Hey everyone! We’re[ Sukrut Oak](https://www.linkedin.com/in/sukrut-oak/) and [Abel John](https://linkedin.com/in/abel-john-85a7551b6) from[ LogosGuard](https://logosguard.com/).\n\n**TL;DR**\n\nEnterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.\n\n**The Problem**\n\nSOC-2 wasn’t designed for AI. Without the right controls in place, enterprises are having to rely on outdated standards or navigate a fragmented landscape of nascent AI frameworks (think NIST AI RMF, ISO 42001, and CSA AICM). The result: slow approvals for new projects and vendors, inconsistent and insufficient reviews, and no reliable way to prove an AI product still meets policy after it changes.\n\n**The Solution**\n\n**LogosGuard** is an AI governance and assessment platform that fits into your existing procurement and compliance systems, and produces reports your teams can act on:\n\n* **Build your AI Controls baseline.** We translate leading controls frameworks, including NIST AI RMF and ISO/IEC 42001, and your internal policy, into a clear set of AI controls. We help you understand and choose controls tailored to your industry, and keep up to date with the continuously changing state and federal regulations.\n* **Stress test the AI features.** We run targeted evaluations for prompt-injection, harmful guidance, PII mishandling, access-control gaps, transparency failures, robustness, and more.\n* **Continuous monitoring.** When vendors update models and features, we re-run the key tests continuously and alert you if risk rises over time.\n* **Painless reporting.** We provide executive summaries, auditor-ready evidence, and a searchable record of decisions so compliance, information security, and leadership see the same truth.\n\n**Impact**\n\n* Vendor risk reviews in days, not months\n* Maintain a robust set of AI controls, with regulatory compliance informing policy updates\n* Catch drift before incidents occur with continuous monitoring\n\n**Why us**\n\n* **Sukrut Oak** — Stanford BS/MS (CS, AI); 3+ years AI safety and benchmarking research; ex-AI engineering at Apple’s Health team; ex-SpaceX.\n* **Abel John** — Stanford BS/MS (CS, AI); ex-AI engineering at Apple; ex-MTS at Accordance (AI for tax accounting - backed by Khosla, Sequoia, and more)\n\n**Our Ask**\n\n* Warm intros to CISOs, CIOs, or anyone who signs off on new AI deployments.\n\nWe’d love to chat. Reach out to us at [founders@logosguard.com](mailto:founders@logosguard.com) or find a time on[ our calendar](https://calendly.com/d/cw55-rnb-3w8/logos-guard-demo)! If you’re in SF, coffee is on us:)\n\n[Launch Video](https://www.youtube.com/watch?v=UZL54wns8nI)",
        "url": "https://www.ycombinator.com/launches/Ooe-logosguard-the-risk-management-software-for-enterprises-adopting-ai",
        "votes": 231,
        "created_at": "2025-11-11T00:36:13.063Z"
      }
    ]
  },
  {
    "id": 30906,
    "name": "Agentic Fabriq",
    "slug": "agentic-fabriq",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a5cc9740ffbab442e3f13d623875ee650093eac.png",
    "website": "https://www.agenticfabriq.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Agentic Fabriq helps companies securely manage what AI agents can access and do across business tools, data, and teams. We give each agent an identity, scoped permissions, approval flows, and audit logs, so employees and customer-facing workflows can use agents without relying on shared API keys, overbroad service accounts, or one-off integrations.",
    "one_liner": "The control plane for AI agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1762294029,
    "tags": [
      "B2B",
      "Identity",
      "Cybersecurity",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Security"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/agentic-fabriq",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/agentic-fabriq.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/agentic-fabriq/",
    "x_url": "https://x.com/agenticfabriq",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/agentic-fabriq",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a5cc9740ffbab442e3f13d623875ee650093eac.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 2840984,
        "full_name": "Paulina Xu",
        "title": "Founder/CEO",
        "founder_bio": "AI + Physics @ MIT, working on Agentic Fabriq (security middleware for all agentic communication)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/paulina-xu-5bba0821b?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
        "x_url": "https://x.com/paulinazhxu",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c121ed2a60fa303b7cd17e1f0dc5f1159b30b9e4.jpg"
      },
      {
        "user_id": 2459873,
        "full_name": "Matthew Xu",
        "title": "Founder",
        "founder_bio": "Dropped out of MIT at 19. Building Agentic Fabriq, the security layer between agentic applications and tools.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/matthew-xu-b32a36271",
        "x_url": "https://x.com/matthew_xu23",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/063a24958bb9b6eaa3b201fd0c124e25cc472de6.jpg"
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    "launches": [
      {
        "id": 98377,
        "title": "Agentic Fabriq: Okta for Agents",
        "tagline": "The central hub for agent identity, governance, and visibility. ",
        "body": "Hey everyone! This is Paulina & Matthew from Agentic Fabriq. \n\n**TL;DR:** AI agents are entering production — but identity systems weren’t built for them. Agentic Fabriq is the identity and governance layer built specifically for AI agents.\n\nOur launch video: <https://youtu.be/6_iIijfy0Mg?si=YMEZHYwgIa8obZ8T>  \n\n![uploaded image](/media/?type=post&id=98377&key=user_uploads/2840984/7ee786fe-0377-4c6d-9e0e-e8032c2998a7)\n\n\n**The Problem**\n\nAgents are moving fast. Security isn’t.\n\nTeams are shipping AI agents that call tools, trigger workflows, access internal data, and act on behalf of users. But the identity layer underneath them was designed for humans logging into apps — not autonomous software acting across systems.\n\nToday, teams hardcode tokens into workflows, drop user identity once an agent runs, and re-implement OAuth for every integration. Security teams lose visibility into what agents are accessing and doing, and no one can confidently answer a simple question: **who did this agent act for?**\n\nOAuth, IAM, and IdPs were built for humans and apps. They were never designed for agents calling tools, calling other agents, and operating autonomously across environments. Engineers get stuck rebuilding auth, IT struggles to govern permissions, and security teams are left without clear audit trails.\n\n**What We Built**\n\nAgentic Fabriq is the identity, governance, and visibility layer for AI agents.\n\nWe sit in the middle of every agent’s calls and manage both agent identity and user identity. We handle token exchange and authentication, enforce least-privilege access, and enable fine-grained, per-user permissioning for every agent. Every action is logged centrally for audit and compliance.\n\nInstead of wiring OAuth, scopes, and policies for every agent and every workflow, you call us once.\n\nYou connect your tools, register your agent, define the permissions — and we handle identity propagation, authorization, and logging.\n\nHere’s a demo of our permissioning feature with OpenWebUI: <https://youtu.be/ayiZ_7d7jCY?si=M3UK8d1B0tvt-8wE>\n\n**What This Enables**\n\n* Per-user agent access\n* Agent + user pair permissioning\n* Full visibility across tools and workflows\n* Instant revocation and policy control\n* Compliance-ready audit trails\n\nWe make it easy for companies to make their agents secure.\n\n**Why Now**\n\nEvery major computing shift forced identity to evolve. \n\nSaaS required SSO. \n\nCloud required IAM. \n\nAPIs required OAuth. \n\n\\\nAgents are the next shift – and they need their own security platform. \n\nWe’re building it.\n\n**Our Ask**\n\nIf you’re building internal agents, shipping AI into enterprise, or thinking about agent governance and security, we’d love to talk.\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting: <https://calendly.com/paulinaxu/agentic-fabriq-meeting>\n* website: <https://www.agenticfabriq.com>\n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.",
        "url": "https://www.ycombinator.com/launches/Paj-agentic-fabriq-okta-for-agents",
        "votes": 9,
        "created_at": "2026-03-03T01:46:49.295Z"
      },
      {
        "id": 95246,
        "title": "Agentic Fabriq: Okta for Agents",
        "tagline": "Power your AI with governed data",
        "body": "Hey everyone! This is [Paulina](https://www.linkedin.com/in/paulina-xu-5bba0821b/) & [Matthew](https://www.linkedin.com/in/matthew-xu-b32a36271/) from Agentic Fabriq.\n\n**TL;DR:** Agentic Fabriq is Okta for agents. Fabriq ensures that employees can’t access data or do actions with agents that they themselves would not have permissions to do.\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/d57b9148-8a8a-44a0-8c53-1292f611641b)\n\nOur launch video:[ https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK](https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK)\n\nThe field of agentic AI is brand new, and everyone is rushing to build and ship their own agents. But there’s a critical gap appearing: **how do you guarantee an agent can’t do more than the employee using it?**\n\n**THE PROBLEM**\n\nAI is rewriting how work gets done, but most companies still can’t let every employee harness it with **their own, permissioned data**. The market is full of tools and agents, but **the core organizational layer is missing**. There’s no unified place to enforce per-user + least-privilege access, separate tenants, or audit what an agent did, with which user, and why, across all of your internal agents and tools.\n\nToday, there’s only scattered solutions to this with identity and permission systems that were built for humans, not for agents acting as humans. Agentic Fabriq solves this issue **for the first time** by giving IT and admins a way to ensure their agents are always constrained to the **exact permissions of the employee asking** - no more, no less.\n\n**OUR SOLUTION**\n\nAgentic Fabriq is the secure fabric that simplifies data permissioning for all your agents, tools, and employees. We handle the auth & integration so IT & admin can manage employee permissions, agent permissions per employee, and tool connections. We’ve solved the security and identity hurdles so you can connect to a tool in minutes and personalize **what your agents can do and access per user**.\n\nOn Fabriq,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/07608446-8a9e-4906-88ff-57c9bd5cb1d4)\n\nregister a tool connection,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/8e2c2fb2-38b9-4253-b87a-5894da56de89)\n\nregister your own AI/agents,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/f703ec51-0cd0-47e3-99ca-8d330c6fe157)\n\nand manage your entire organization\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/6b9fad2b-5606-4ed6-8e3f-af21f966357b)\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/4bbadb2e-6cb7-4858-9343-0b63b8938458)\n\n**we made it as simple as that.**\n\nAgentic Fabriq provides users with:\n\n* **per-user connections**: connect your own account to approved tools - no shared creds\n* **org-wide controls**: define what internal agents/apps can access & which employees can use them\n* **least-privilege by default**: access is scoped & revocable, with centralized policy\n* **full visibility**: every action is logged for audit & compliance\n* **prebuilt connectors**: add tools fast without rebuilding auth & permissions each time\n\nThis allows teams to make the most use of AI with exactly the data they’re allowed to use - **safely, auditable & at scale.**\n\n**OUR ASK**\n\nIf you or anyone you know would like to be early adopters of Fabriq, book a call with us or send us an email!\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting:[ https://calendly.com/paulinaxu/agentic-fabriq-meeting](https://calendly.com/paulinaxu/agentic-fabriq-meeting)\n* website:[ https://www.agenticfabriq.com](https://www.agenticfabriq.com)\n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.",
        "url": "https://www.ycombinator.com/launches/OmE-agentic-fabriq-okta-for-agents",
        "votes": 18,
        "created_at": "2025-11-06T20:55:28.851Z"
      }
    ]
  },
  {
    "id": 30907,
    "name": "Logical",
    "slug": "logical",
    "former_names": [
      "Ignotus"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb6ea58cacd2d7637cd441b73c8f2e6da92ae97.png",
    "website": "https://logical.io",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.",
    "one_liner": "A proactive desktop copilot. Clippy, but actually good.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1761643617,
    "tags": [
      "Consumer",
      "B2B",
      "Productivity",
      "AI",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/logical",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logical.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/in/trylogical",
    "x_url": "https://x.com/trylogical",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb6ea58cacd2d7637cd441b73c8f2e6da92ae97.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 2175254,
        "full_name": "Sam Karu",
        "title": "Founder/CEO",
        "founder_bio": "Sam is a co-founder and CEO of Logical. He was a PhD dropout from UCLA before joining NVIDIA. At UCLA, Sam conducted research on AI applications in wireless and cellular domains, across both discriminative and generative models. At NVIDIA, he worked on AI inference and model optimizations for specific hardware. Sam is the best performing Sri Lankan in the history of both the International Physics Olympiad and Asian Physics Olympiad. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samurdhilbk/",
        "x_url": "https://x.com/SamKaru_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7da125206396ec667a3f86824c54fd9218ff08d8.jpg"
      },
      {
        "user_id": 2844384,
        "full_name": "Anushka Idamekorala",
        "title": "Founder/CTO",
        "founder_bio": "Anushka is a co-founder and CTO of Logical. After three years leading B2B SaaS engineering teams, he enrolled in the University of Virginia (UVA) where his research focused on context-aware time-series forecasting.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anushkaidamekorala/",
        "x_url": "https://x.com/anushkaidame",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c0013de048bbf6ed7fc4b05aa9441bfd2dc72dd.jpg"
      }
    ],
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    "launches": [
      {
        "id": 95304,
        "title": "Logical: The Proactive Desktop Copilot",
        "tagline": "Logical makes every knowledge worker 5x productive",
        "body": "Hi everyone,\n\nWe’re [Sam](http://linkedin.com/in/samurdhilbk) and [Anushka](http://linkedin.com/in/anushkaidamekorala/), co-founders of [Logical](https://trylogical.ai).\n\n**TL;DR:**\n\n**Logical is a copilot that lives on your desktop and proactively assists with things like drafting emails, meeting insights and tracking to-do items.**\n\nInstead of waiting for you to prompt, Logical suggests context-aware actions in many common apps and services. It’s like Clippy, but actually good.\n\nhttps://youtu.be/XfyPZb14LZM?si=aaJMF37-ipwkJBDV\n\n### Problem\n\nPrompt-first AI is fundamentally flawed. We waste hours every week writing lengthy prompts, context-switching and copy-pasting to get a chatbot to understand what we're doing. The context surrounding our work (emails, meeting notes, knowledge bases etc.) lives in siloed services that don't talk to each other. A truly helpful AI must live where we work: on the desktop.\n\n### Solution\n\nLogical lives on your desktop, observing your work to build an understanding of your intent and the context that surrounds it. As you switch between apps and tabs, Logical transfers that context with you.\n\nIt proactively suggests actions based on what you're doing—whether you're in Gmail, Slack, or Excel. This turns Logical into an all-in-one assistant: it's your email drafter, to-do manager, AI note-taker, and chatbot, all combined.\n\n**📨 Email & Messaging Assistant:** Get quick drafts. Fine-tune, revert, and apply. Works with Gmail, Slack, iMessage and Apple Mail.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/ab0e8f09-c58c-45d7-8eef-0be23b97d326)\n\n**✅ Automatic To-Do Detection**: Detects and drafts deliverables. Plus, it reminds you to get those done.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/afe169f0-7103-4fe7-aec1-a17e72157c74)\n\n**🪄 Logical Lumos:** Get real-time assistance on any task. In Excel, it can suggest formulas and analyze errors; in a doc, it can explain terms as you highlight them. \n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/596d5046-364b-43b4-86c1-b63ea1b82b1a)\n\n**🔗 Connect your services:** Bridge Gmail or your Calendar for deeper context. Search your email with natural language, or get quick calendar availability lookups.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/2b2a7df8-ff33-41f7-8770-5878ab4070af)\n\n### Our story\n\nSam and Anushka have been friends since they met in grade school at 6 years old.\n\nBefore Logical, Sam worked on AI model optimizations at NVIDIA and previously dropped out of a PhD in applied AI. He's a medalist at both the IPhO and APhO and received a President’s Award for Scientific Research from the Government of Sri Lanka. Anushka dropped out of his PhD in context-aware predictive AI at UVA, and previously led B2B SaaS engineering teams.\n\nWorking in both academia and industry, we saw firsthand how most AI tools create friction and frustrate users. Our unique backgrounds – context-aware AI and AI model optimization – convinced us that an AI agent that lives on the desktop can identify user intent and provide proactive help, without compromising on speed or quality.\n\n### Our Ask\n\nIf you're reading this, Logical can help you (yes, you!) get more done. Try it out at [**https://trylogical.ai**](https://trylogical.ai) – we offer generous free credits. Help us with feedback on how Logical can better fit your workflow.\\\n\\\nIf you’re an enterprise, help your team miss fewer deadlines and spend less time context-switching. Plus, you can stop paying for 10 different AI add-on subscriptions – Logical can do it all. Contact us at [**hello@trylogical.ai**](mailto:hello@trylogical.ai) to learn more and book a demo.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/bd182517-615e-4efe-8de7-18985fd8fa32)\n\n",
        "url": "https://www.ycombinator.com/launches/OnA-logical-the-proactive-desktop-copilot",
        "votes": 161,
        "created_at": "2025-11-07T20:24:35.548Z"
      }
    ]
  },
  {
    "id": 30911,
    "name": "Helonic",
    "slug": "helonic",
    "former_names": [
      "Articulate"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.png",
    "website": "https://helonic.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We help construction teams eliminate rework, delays, and drawing confusion before construction starts. We analyze PDF plans, detect clashes and inconsistencies across disciplines, and create draft RFIs so teams can resolve issues early.\r\n\r\nThis saves construction companies hundreds of hours and millions of dollars.\r\n\r\nWhat we do:\r\n- Automatically detect clashes, missing information, and drawing mismatches\r\n- Align architectural, structural, and MEP plans so everything matches across sheets\r\n- Generate draft RFIs from issues we find\r\n- Replace long page-turn meetings with instant drawing analysis\r\n- Reduce rework and prevent schedule delays before boots hit the ground\r\n\r\nWe integrate with: Procore, Autodesk, email, and the tools teams already use\r\n\r\nTeams use us to:\r\n- Save hundreds of thousands to millions of dollars per project\r\n- Catch design and coordination issues early\r\n- Reduce RFIs and prevent field fixes\r\n- Keep projects on schedule with fewer surprises\r\n\r\nContact us at founders@helonic.com",
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    "team_size": 2,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Construction",
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    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/helonic",
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        "full_name": "Milind Sagaram",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ Helonic\nEx. SpaceX, BMW, NG\nIllinois Alum",
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        "title": "Helonic: Automatic Construction Drawing Issue Detection",
        "tagline": "Catch issues in drawings before they appear on site",
        "body": "**TL;DR:** Helonic is the AI platform that helps **construction companies, architects, and civil engineers** catch design errors and avoid costly rework before construction begins. We automatically detect clashes and discrepancies, and generate RFIs and save construction companies hundreds of hours and millions of dollars.\n\n**Launch Video: [https://youtu.be/sen1fR6e7n4](https://youtu.be/sen1fR6e7n4)**\n\n**❌ The Problem:**\n\n* Drawings and specs are often incomplete or inconsistent, leading to design clashes and costing companies **hundreds of millions of dollars**\n* Mechanical, structural, and architectural plans don’t align, forcing long coordination cycles and rework\n* Incorrect blueprints and outdated revisions cause crews to build from the wrong designs, especially in fast-paced solar installations\n\n**✅ The Solution:**\n\nHelonic automatically finds issues in construction drawings.\n\n* **Detect design discrepancies automatically:** AI identifies clashes across MEP, structural, architectural, and solar layouts before they reach the field.\n* **Instantly generate RFIs:** Proactive document and drawing auditing allows project managers and installers to stay focused on building.\n* **Integrated and proactive:** Helonic connects with Procore, Revit, Autodesk, Outlook, Gmail, Google Drive, SharePoint, Bluebeam, and more\n\n**About Us:**\n\nMilind is from Chicago. He’s an engineer who worked at SpaceX, Northrop Grumman, and BMW. At SpaceX, he built critical satellite and ground station hardware test infrastructure for Starlink. He also graduated with a degree Computer Engineering from the University of Illinois.\n\n**🦺 Our Ask:**\n\n* If you know any project managers or superintendents at general contractors, we’d love an introduction.\n* If you know directors or executives at construction or solar firms who are improving design coordination or workflows, we’d love to connect with them.\n* Visit us at [helonic.com](http://usearticulate.com) or contact us at [founders@helonic.com](mailto:founders@helonic.com)!",
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        "full_name": "Anirudh Pupneja",
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        "founder_bio": "CEO @ Redapto (YC F25). Previously built the Generative AI platform at Coinbase.",
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    "website": "https://captain.dev",
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    "long_description": "Captain makes product catalogs and complex, multimodal files searchable for customers and AI agents. It syncs files from sources like S3, SharePoint, and Google Drive and tunes search to your data and workloads.\r\n\r\nInstead of stitching together parsers, embeddings, vector databases, rerankers, and retrieval infrastructure, developers use Captain to power product search and file retrieval through managed APIs.\r\n\r\nOn evaluated file-search benchmarks, Captain’s tuning improved retrieval accuracy from roughly 78% with standard RAG to over 97%.\r\n\r\nBuilt for complex catalogs and demanding file-search workloads, including regulated and high-stakes applications.",
    "one_liner": "Self-tuning search for products and files",
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    "subindustry": "B2B -> Infrastructure",
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        "full_name": "Lewis Lien Polansky",
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        "full_name": "Edgar Babajanyan",
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        "title": "Captain - The Reliable Alternative to RAG",
        "tagline": "Search files with much higher accuracy than RAG (Avg improves 78% → 95%)",
        "body": "**TL; DR**: Captain delivers **the most accurate** general-purpose **knowledge search** engine **ever built.** \n\nIf you need to search through large text or multimodal files, and:\n\n* Don’t have time for **a tedious RAG sprint** -or-\n* Your current search pipeline lacks accuracy\n\nWe should talk. → [runcaptain.com/sales](https://runcaptain.com/sales?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=weshouldtalk1) or [founders@runcaptain.com](mailto:founders@runcaptain.com)\n\nhttps://www.youtube.com/shorts/RxMPHqou94o\n\nIn a world where **90% of enterprise knowledge** cannot be stored in traditional databases, this ‘unstructured data’ is an **untapped goldmine** for decision-making. \n\nThe issue is that current RAG solutions have poor retrieval quality overall and are only performant on pre-optimized question types. \n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/425e4da0-2c47-43ea-a2c5-5dc32b2168fd)\n\n**Captain** unlocks **better responses** thanks to an effectively **Infinite Context window**. We distribute it across many LLMs in parallel + some embeddings sprinkled in, and then ‘Map-Reducing’ responses down to a single output.\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/4be36851-322b-4836-be35-8e447cea51cd)\n\nWithout context limits, we have great freedom to optimize our retrieval engine for maximal accuracy. We can now play with a truly dynamic top-k or just run the LLM exhaustively (if a full knowledge audit is needed).\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/e373def8-4aec-4add-b2a6-7d5fd9a02cb3)\n\n**We’re two lifelong builders** obsessed with data! \n\n* Lewis (right) solved hallucinations for code generation through his previous startup. \n* Edgar (left) researched NLP+AI and has built production RAG pipelines for the past 3 years.\n\nWe’ve seen the pains and limits of these systems from the start, and **the industry is primed for a more accurate alternative.** \n\nThis past summer, we met with every engineer we could at **Snowflake** and **Databricks**, and we kept hearing the same thing again and again: \n\n> There’s **no good** scalable **unstructured** data **search**.\n\nUntil **today**.\n\n**Captain abstracts the engineering of retrieval entirely.** Connecting files is all that’s needed, and we’ll beat your RAG's accuracy. Guaranteed. \n\n**Our Ask**\n\nIf you know a **CTO** or **Head of AI** at a mid-market or enterprise **AI-native** (or are building one yourself), we would love an introduction!\n\nCheck us out at [RunCaptain.com](https://runcaptain.com?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=website)\\\nor reach us directly through [founders@runcaptain.com](mailto:founders@runcaptain.com)\\\n\\\nHappy Shipping! 🚢",
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    "one_liner": "AI FDE Engine that runs your engineering workflows",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "founder_bio": "CS and Business at Berkeley. Prev. Bespoke Labs, Jeeva Clinical Trials, FHL Vive Research Lab.\n",
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        "full_name": "Anas Bouassami",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.",
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        "user_id": 231673,
        "full_name": "Pierre-Habte Nouvellon",
        "title": "Founder",
        "founder_bio": "Co-founder and CPTO of Bravi. Previously co-founded and exited Snipfeed ($7M raised, 20+ employees). South American Math Olympiad #1. Trained as a space/aerospace engineer before moving into ML and AI product.",
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      {
        "id": 94602,
        "title": "Bravi - AI voice and chat assistants for home service companies",
        "tagline": "The AI assistant that helps home service companies capture every lead",
        "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n  👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n",
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        "created_at": "2025-10-13T17:33:41.518Z"
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    "subindustry": "B2B -> Legal",
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        "answer": "Enterprises waste months and millions on manual IT compliance. It slows deals, blocks growth, creates regulatory risk, and drains already stretched teams. Global rules get more complex every week, but tools and consultants haven’t kept up.\r\n\r\nWe built ComplyDo to change that: the most flexible compliance engine for enterprises. With ComplyDo companies can move faster, stay safer, and win across markets."
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/complydo.json",
    "year_founded": 2025,
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    "country": "DE",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Leo Schuhmann",
        "title": "Founder/CEO",
        "founder_bio": "Helping enterprises win across markets. \nTech & Consulting Background.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leo-schuhmann-324927182/",
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        "full_name": "Moritz Moser",
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        "full_name": "Matthias Schneider",
        "title": "Founder/CTO",
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        "is_active": true,
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        "title": "Engineer",
        "url": "https://www.ycombinator.com/companies/complydo/jobs/oA2oHJC-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE",
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      {
        "id": 94528,
        "title": "ComplyDo 🌎: Automating how enterprises comply with hundreds of global regulations",
        "tagline": "More Comply, Less Do.",
        "body": "Hi, we’re [**Leo**](https://www.linkedin.com/in/leo-schuhmann-324927182/), [**Moritz**](https://www.linkedin.com/in/moritz-moser-99b3a320a/) & [**Matthias**](https://www.linkedin.com/in/matthias-schneider-134391223/), launching [**ComplyDo**](https://www.complydo.io/).\n\n# **TL;DR**\n\n**ComplyDo automates how enterprises comply with hundreds of global regulations.** Already used by leading global players to replace months of manual work, reduce consulting hours, and accelerate market access.\n\n**Ask:** Can you introduce us to compliance, GRC, or audit leaders at enterprises and consultancies? We can help them a lot. Contact: [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\n\nhttps://www.youtube.com/watch?v=qDvBicSeQ0U\n\n# The problem\n\nEnterprises face an explosion of global regulations and standards. ISO, PIPL, NIS2, PCI, DORA, and many more. Due to this complexity, compliance, legal, and audit teams still handle most of the work manually or through consultants: mapping requirements, reviewing policies, collecting evidence, and maintaining spreadsheets. It’s slow, expensive, and limits how fast companies can move.\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/89a03819-0f69-4e68-aa22-0694b846409b)\n\n---\n\n# The solution\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/9057684c-921e-4d4a-adf8-42f72b97f822)\n\n**ComplyDo** automates this painful process. Upload any regulation, standard or requirement file. Our system:\n\n1. Extracts requirements and obligations\n2. Maps them to your internal controls and policies\n3. Identifies gaps and next steps\n4. Monitors changes across frameworks\n\nAlready **used by global enterprises**, ComplyDo helps organizations stay compliant continuously and scale across markets. **Without** a fleet of consultants.\n\n---\n\n# How we got here\n\nWe’ve worked across consulting, software development, and AI, and saw the same issue in every global company. Starting with some of the world’s most innovative enterprises, we went deep into their GRC processes and shifted manual work from compliance teams and consultants to our models. It became the foundation for faster, smarter global governance.\n\n---\n\n---\n\n# Call to action\n\nWe’re expanding with enterprises, innovative consultancies, and certification bodies. **If you work in GRC, internal audit, or cyber/IT compliance**, we’d love to connect! We go above and beyond to eliminate slow, manual work. If someone in your network could benefit, an intro would mean a lot.\n\n📩 [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\\\n🌐 [complydo.io](http://complydo.io)\n\n---\n\n**More Comply. Less Do.**\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/d3081360-af6f-4fed-adda-c726d5037ccd)\n\n",
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        "votes": 66,
        "created_at": "2025-10-09T18:26:18.676Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lexi is an AI operating system for legal teams, law firms, and in-house counsel. It brings legal research, drafting, document review, contract redlining, case workflows, translation, knowledge management, and AI associates into one secure platform.\r\n\r\nLexi is built for enterprise legal work with end-to-end security, role-based access controls, audit trails, encrypted document handling, private workspaces, and deployment options for sensitive legal environments. Legal teams use Lexi to process high-volume legal documents, find answers with verified citations, draft in their preferred style, review contracts, and manage legal workflows from intake to output.\r\n\r\nLexi has processed 5,000,000+ documents across 200,000+ cases for 200+ organizations and law firms, helping lawyers save 10+ hours every week and handle more matters without adding headcount.",
    "one_liner": "AI Operating System for Legal Teams",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1758861304,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lexi.json",
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        "full_name": "Harshit Garg",
        "title": "Founder/CEO",
        "founder_bio": "Engineer-turned-lawyer and second-time founder. Previously led major technical and compliance projects for Fortune 500 companies before building Lexi.\n",
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        "full_name": "Kiran Mohan",
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        "founder_bio": "Founding Team at Ethlas, a Sequoia-backed startup where he scaled the company to 100K+ users and $2M+ in ARR. Previously built high-frequency trading systems at Grasshopper that processed $500B+ in monthly notional volume. \n\nNow revolutionizing the legal industry with AI-powered legal associates at Lexi.",
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        "id": 95269,
        "title": "Lexi: AI Associates for Law Firms & Legal Teams",
        "tagline": "Scale your practice without scaling overhead",
        "body": "Hi everyone! We’re [Harshit](https://www.linkedin.com/in/harshitgarg03/) and [Kiran](https://www.linkedin.com/in/kiranmohanb/), and we’re building Lexi - AI Associates for law firms & legal teams\n\n### **TL;DR**\n\nLaw firms & legal departments spend countless hours drafting, reviewing, organizing, and managing documents.\n\nUnlike other LegalTech tools, Lexi integrates directly into your workflow, acting as an AI associate that learns your team’s standards, tone, and processes to handle your workflows end to end.\n\n**Lexi saves lawyers 10+ hours of manual work every single week.**\n\n[Lexi Launch Video](https://youtu.be/3LSrawsmCfI)\n\n### 🔴 **The Problem**\n\nLawyers are drowning in low-leverage work.\n\n70% of a lawyer's day is spent on tasks that don't require legal expertise: summarizing documents, drafting routine correspondence, building chronologies, organizing files.\n\nExisting tools don't solve this—they're point solutions that force lawyers to juggle between multiple platforms and subscriptions, slowing them down instead of speeding them up.\n\nThe result? Clients wait for updates, strategy gets postponed, and burnout rises. Even top-tier firms struggle to scale without adding headcount.\n\n---\n\n### 🟢 **The Solution**\n\nLexi doesn't just \"help\" with legal work—it does the work. From intake to delivery, Lexi acts as a trained associate that learns your firm's style, standards, and processes.\n\n**What used to take 8 hours now takes 20 minutes.**\n\n**Document Intelligence**\\\nTransform scattered emails, PDFs, and transcripts into organized, searchable case files. Analyze thousands of documents and extract key information with reliable accuracy.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/de522fac-c1ec-4375-a762-74e096a803f6)\n\n**Drafting**\\\nGenerate polished first drafts of pleadings, contracts, and letters in your firm's voice. Lexi learns your writing style and standards to produce documents that need minimal editing.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/f2be1518-b09f-4069-8f0f-7d2f4b693fdc)\n\n**Contract Review**\\\nReview agreements against your firm's playbooks and flag risky clauses automatically. Lexi learns from your past reviews to improve recommendations and match your standards over time.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/c5c1a104-ed80-4e30-8a1d-1111270646a7)\n\n**Chronology Builder**\\\nBuild comprehensive timelines from thousands of documents. Extract dates, facts, conflicts, and citations instantly—perfect for depositions or trial prep.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/6b475d7c-a3f7-45c6-90d3-35fe6c15124f)\n\nThe best part: Lexi **Integrates seamlessly** with the tools you use daily: Microsoft Word, Outlook, Google Docs, iManage, and more. No new systems to learn. No workflow disruption.\n\n**The impact?** Firms using Lexi take on **25% more cases without new hires**—reclaiming 10+ hours per lawyer per week.\n\n---\n\n### 🔵 **The Team**\n\nWe've lived this problem from both sides—legal practice and AI engineering.\n\n**Harshit Garg** (CEO) — Practiced law at top firms where he watched talented lawyers lose hours to repetitive work. Built Lexi to give that time back.\n\n**Kiran Mohan** (CTO) — Former Engineering Manager at Ethlas and Shopee. Built AI systems and infrastructure at scale for millions of users. Now building the AI associate every law firm needs..\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/d9190728-ed4d-4e12-acd0-a4cedbd871fe)\n\nWant to see Lexi in action? Book a demo here: [getlexi.io](http://getlexi.io) or reach us at [founders@getlexi.io](mailto:founders@getlexi.io)",
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    "name": "Leadbay",
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    "website": "https://leadbay.ai/",
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    "long_description": "Leadbay qualifies leads for agentic workflows.\r\n\r\nTeams at L'Oréal, Saint-Gobain, Gerflor USA, Corgi, and Nespresso B2B have 3x'd their addressable market and 10x'd what they defined as \"qualified leads\". Talking to our customers, we used to hear, \"10 minutes on Leadbay beats 6 months with Clay and a GTM agency.\"\r\n\r\nCo-founders are Milan Stankovic (CTO) - PhD to make AI work with limited data, and Ludovic Granger (CEO). \r\n\r\nCreate an account.\r\nA new market is yours.\r\nleadbay.ai.",
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    "team_size": 8,
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        "user_id": 1301517,
        "full_name": "Ludovic Granger",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Leadbay. Previously an early employee at an EU-US VC firm, I then built a community of 300 sales reps - the perfect playground to iterate on underserved B2B use cases. Studied Finance at IÉSEG School of Management.",
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      {
        "user_id": 506565,
        "full_name": "Milan Stankovic",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of Leadbay (F25). PhD in Artificial Intelligence. Previous exit. Making computers better companions to humans. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/milanstankovic",
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      {
        "id": 94693,
        "title": "Leadbay AI: 3x more SMBs than Linkedin. Qualify the 99% you miss with Clay.",
        "tagline": "Leadbay discovers and qualifies leads that couldn't be found before. ",
        "body": "Hey everyone 🤘🏻\n\nWe’re[ Ludo](https://www.linkedin.com/in/ludovic-granger/) and[ Milan](https://www.linkedin.com/in/milanstankovic/) - co-founders of Leadbay.\n\n**TL;DR:** You might think that Linkedin, Clay, ZoomInfo have you covered. They don’t. They miss 70% of US companies, and cover only 0.001% of digital signals/intent. Leadbay discovers and qualifies SMB leads others can’t find. Our customers 5X prospecting efficiency by simply unlocking untapped opportunities in the most data-scarce, fragmented markets.\n\n👉🏼 [Try it.](https://wow.leadbay.ai/) Get 50 free leads, qualified for you.\n\nhttps://youtu.be/IYD5HXaBGY4\n\n**HOW DOES IT WORK?**\n\n1. Start with your company email address. \n2. That’s it.\n3. (Optional) Upload a list of won/lost leads.\n\n**RESULTS - SALES REPS GET HOOKED !**\n\nWe closed small-to-enterprise deals with companies targeting SMBs in construction, hotels & restaurants, startups and retail.\n\n→ Our customers 5X their prospecting efficiency,\n\n→ 55% of their closed deals come from companies that were never on their radar,\n\n(One client even told us they sometimes used Leadbay while on the toilet—which inspired our first viral campaign 🚽).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/c818b899-6a77-4cb8-a3a9-82f1fb7156b6)\n\n**OUR VISION:**\n\n3X our customers’ Total Addressable Market by making invisible companies visible.\n\n**ORIGIN STORY:**\n\nMilan (CTO), is a PhD to make AI work with limited data.\n\nIn 2023, he joined Ludo (CEO), who had brought a **community of 300 sales reps** from his family and VC background — the perfect playground to iterate on underserved use cases.\n\nTogether, they set out to tackle what every sales team wants: **discover and qualify untapped opportunities.**\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/0e4c2040-2165-41b5-86a9-02472cf4f9b5)\n\n**READY TO GROW YOUR BUSINESS WITH LEADBAY?**\n\n1. [Try it](https://wow.leadbay.ai/). Get 50 free leads, qualified for you.\n2. Intro me ([ludo@leadbay.ai](mailto:ludo@leadbay.ai)) to Enterprise sales teams prospecting SMBs (Kimball Midwest, Core-Mark International, Reece USA, Owens Corning, PPG Industries, Deel, Rippling…).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/e96861bf-f41e-4f46-92e2-03565b3a7cf7)\n\n",
        "url": "https://www.ycombinator.com/launches/OdJ-leadbay-ai-3x-more-smbs-than-linkedin-qualify-the-99-you-miss-with-clay",
        "votes": 292,
        "created_at": "2025-10-16T14:45:45.603Z"
      }
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  },
  {
    "id": 30936,
    "name": "Patent Watch",
    "slug": "patent-watch",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.png",
    "website": "https://www.patentwatch.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We automate patent infringement detection. Our software interprets patents, identifies competing products, and generates claim charts showing who’s infringing and how.\r\n\r\nTeams use us to:\r\n\r\n- Find licensing and litigation targets\r\n- Send cease-and-desist letters\r\n- Find counter litigation\r\n- Sell IP in wind-downs\r\n- Accelerate M&A diligence\r\n\r\nWe also run AI invalidity and prior-art searches to help your patents hold up in court.\r\n\r\nCompanies spend up to $50k to file and maintain a single patent over its lifetime, but once it's granted, they let it collect dust. With Patent Watch, you can start turning your patent portfolio into revenue in 10 minutes.",
    "one_liner": "AI for detecting patent infringements",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758491604,
    "tags": [
      "SaaS",
      "B2B",
      "Legal",
      "LegalTech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/patent-watch",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/patent-watch.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/patentwatch-ai/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1250636,
        "full_name": "Alexander Stroe",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Patent Watch | Prev day traded funded accounts, spent > $1M on ads",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alex-stroe/",
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      },
      {
        "user_id": 1595753,
        "full_name": "Andreas Stroe",
        "title": "Founder/CTO",
        "founder_bio": "Founder @Patent Watch | Ex Research @ Philips",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andreasstroe/",
        "x_url": "",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 94773,
        "title": "Patent Watch - AI for patent infringements 📜",
        "tagline": "Upload your patents, we find infringing products so you can sell licenses or litigate. ",
        "body": "[**Patent Watch Launch Video**](https://youtu.be/9rLBsb_cX6E)\n\n**Problem**\n\nMy co-founder, [**Andreas Stroe**](https://www.linkedin.com/in/andreasstroe) (also my brother), was doing research at Philips. He applied for 4 patents while he was there. After spending way too much time talking to the IP team, he realized that they hold 50,000 patents with a team of \\~10 people to defend them.\n\nA little background: a **patent costs** around **$50k** to obtain and maintain. $17k is non-negotiable, paid directly in fees. That means their **portfolio costs $850M** to **$2.5B**. The best part is that they, and pretty much every company in the world, rely on Googling competitors and sending salespeople to trade shows to hear about new products that could be infringing. This whole **portfolio** is **making** little to **no revenue.**\n\nI guess you can see why we started building this right away.\n\n![uploaded image](/media/?type=post&id=94773&key=user_uploads/1250636/63eddfc4-bbda-4f22-b80e-7d4f0f15ced3)\n\n_Can you tell we’re brothers?_\n\n**Solution**\n\nSuper simplified to keep it easy to understand:\n\n✅ We let companies upload their patents and get a list of claim charts showing what **products are infringing and how**, in 20 minutes instead of months.\n\n✅ When companies get sued, they can **use us to find counter litigation**, since the person suing them is most likely infringing on some of the patents they hold too.\n\n✅ The most common way to get these cases thrown out of court is by considering a patent invalid. That means there is some proof, like other patents, research papers, or products that existed before your patent was filed. We find all these and **confirm your patents will hold up in court.**\n\nThere is more, but you can consider this our “core”.\n\n**Proof**\n\nAs you can imagine, pretty much everyone we work with has us under NDA. What I can tell you is that we work with private inventors up to Fortune and Global 500 companies.\n\n**Why now?**\n\nOf course, AI …\n\nBut also, the US Patent Office is tightening the rules for challenging patents in its review court. The director is being pickier about which cases get heard, and some evidence no longer counts.\n\n🚨 It’s going to be a lot harder to attack a patent and a lot easier for owners to defend one🚨\n\n**Ask**\n\nIf you hold patents and have more applications pending, you can probably use us.\n\nOutside of that, we’d really appreciate intros to:\n\n* Patent attorneys\n* IP managers\n* Licensing managers\n* CTOs or heads of R&D at hardware, biotech, industrial, and large software companies\n\nMy email is [**alex@patentwatch.ai**](mailto:alex@patentwatch.ai) if you want to chat :)\n\n_Thanks for reading!_",
        "url": "https://www.ycombinator.com/launches/Oeb-patent-watch-ai-for-patent-infringements",
        "votes": 78,
        "created_at": "2025-10-21T00:06:19.043Z"
      }
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    "id": 30938,
    "name": "Imagine AI",
    "slug": "imagine-ai",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png",
    "website": "https://imagineai.me",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Imagine AI is a research and software company reverse engineering modern B2B growth, starting with LinkedIn.\r\n\r\nAs companies get more automated, more of B2B growth will happen between agents, and the companies that connect will compound each other's output. We're building the connective layer between them. We start with content because it's still the fastest way to build B2B relationships at scale.\r\n\r\nToday our content agent decides what your team should post based on data from 1M+ people (who posts what, who engages, where they work and how they're connected). It drafts the posts and graphics, schedules them for your execs and company page, and maps engagement back to your pipeline.\r\n\r\nRippling, MarqVision, Slash, Corgi and Fondo use Imagine AI. Customers have generated $40M in revenue, 100M impressions and 14,341 MQLs.\r\n\r\nFree public benchmark of how 1,000+ B2B companies and their execs perform on LinkedIn: https://benchmark.useimagine.ai",
    "one_liner": "We reverse engineer B2B growth, starting with LinkedIn.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1757695309,
    "tags": [
      "B2B",
      "Sales",
      "Marketing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Sales"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/imagine-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/imagine-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ai-imagine",
    "x_url": "https://x.com/imagineagi",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
    },
    "founders": [
      {
        "user_id": 1654391,
        "full_name": "Sky Yang",
        "title": "Founder/CEO",
        "founder_bio": "Sky Yang is the Co-founder & CEO of Imagine AI.\n\nHe was the youngest-ever elected Student Body President at UC San Diego, where he led 32,000 students and successfully raised $150M for university infrastructure improvement. He also founded the nonprofit Break the Outbreak, scaling it to a 400-person organization operating in 53 cities/18 States.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/skyyang/",
        "x_url": "https://x.com/skygodkingdom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5126ec188c4e513ebf71c6c237dc01b027e7f393.jpg"
      },
      {
        "user_id": 1051338,
        "full_name": "Neo Lee",
        "title": "Co-founder",
        "founder_bio": "Neo Lee co-founded Imagine AI in 2025, which now serves 50+ B2B companies including MongoDB, Rippling, Slash, and Corgi Insurance.\n\nHe was previously a founding engineer at startups backed by MiraclePlus, Mysten Labs, and the SUI Foundation, and researched non-cooperative stochastic games at UC Berkeley under Prof. Alan Hammond, where he proved a previously open equilibrium-threshold result in stake-governed tug-of-war games.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neo-lky",
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    "jobs": [
      {
        "id": 102004,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/imagine-ai/jobs/tqTTn1x-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$170K - $230K",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "PostgreSQL",
          "React",
          "TypeScript",
          "SQL",
          "Neo4j",
          "Next.js"
        ]
      }
    ],
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    "launches": [
      {
        "id": 97977,
        "title": "Imagine AI - B2B content for your entire team that books meetings before competitors get a reply",
        "tagline": "$31M in revenue generated across 40+ B2B companies. Now with multi-seat team coordination.",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI.\n\nWe just launched multi-member team content for B2B companies.\n\nMost companies try LinkedIn GTM with one founder posting alone. It works, but it's slow. One voice. One network. Limited reach.\n\nWhat actually moves the needle is coordinated team effort. Multiple executives posting aligned content, amplifying each other, creating a ripple effect across the org.\n\nThat's what we built.\\\n\\\n<https://youtu.be/vSiHQ7_aQiA>\n\n**TL;DR:** We build 100+ page personas for each person on your team, then run your entire content pipeline: LinkedIn posts, strategic comments, coordinated team cadence. Every client gets a dedicated Content Engineer backed by our AI platform. $31M in revenue generated across 40+ B2B companies.\n\n**Ask:** B2B company doing sales-led growth? Book a demo at [imagineai.me](http://imagineai.me) or email [**sky@imagineai.me**](mailto:sky@imagineai.me)\n\n**The Problem**\n\nB2B buyers trust people, not logos. But most companies have zero content infrastructure.\n\nFounders and execs are juggling product, sales, and fundraising. Content falls to the bottom. Hiring an agency costs $150K+ and takes months to onboard per person. Generic AI tools produce robotic content that damages your brand. And even when someone does post, there's no coordination across the team. Your CEO and VP of Sales are operating in silos instead of running coordinated campaigns.\n\n**What's New**\n\n1️⃣ **Multi-seat access with coordinated cadence.** Your whole leadership team posts through Imagine AI. Not just the CEO. VP Sales, VP Marketing, Head of GTM, whoever needs to be building their presence. Your CEO posts the vision, your VP of Sales posts the proof, your Head of Marketing posts the framework. Same theme, different angles, coordinated ripple cadence.\n\n2️⃣ **100+ page Persona Reports for each person.** We go through transcripts, interviews, podcast appearances, posts, and conversations for every person on your team. The result reads more like a biography than a brief. That's why the content sounds like each person actually wrote it. Not a polished corporate version. Them.\n\n3️⃣ **Dedicated Content Engineer per account.** Every client gets a real person who owns your strategy. They set the pace, coordinate your team's content cadence, and ensure what we ship makes sense for your business. A senior content strategist with an AI platform behind them.\n\n4️⃣ **AI-powered analytics that track pipeline, not pageviews.** You can see which posts start real conversations with your ICP. Audience activation, conversation quality, inbound meeting requests. Actual numbers, not vibes.\n\n5️⃣ **Cut content creation time by 95%.** Executive post creation reduced from 1 hour to 5 minutes. Content prep reduced from 8 hours to 30 minutes. Most clients spend 2-4 hours per month on the platform. The rest runs on its own.\n\n**Our Traction**\n\nLaunched November 2025. Now serving 40+ paying B2B companies from pre-seed to publicly traded.\n\nClients include Rippling, Corgi Insurance, Campfire AI, Fondo, Paramify, and others.\n\n📈 Results across all clients:\n\n* **$31M** in revenue generated\n* **431** qualified inbounds in 1 month for one client\n* **$53K** inbound revenue in 1.5 weeks for another\n* **12M** total impressions generated\n* **10,400** hours saved so far\n\nWe built all of this because our customers kept asking for it. They wanted their whole team posting, but couldn't justify the time investment for each person.\n\nNow they can.\n\n**Our Ask**\n\nKnow a B2B company doing sales-led growth that needs a content engine for their team? Intro us.\n\nBook a demo: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* Sky: [**https://linkedin.com/in/skyyang**](https://linkedin.com/in/skyyang**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)\n\n![uploaded image](/media/?type=post&id=97977&key=user_uploads/1654391/83eab6ad-ab88-4062-9a91-16f4cc721bae)\n\n",
        "url": "https://www.ycombinator.com/launches/PUH-imagine-ai-b2b-content-for-your-entire-team-that-books-meetings-before-competitors-get-a-reply",
        "votes": 6,
        "created_at": "2026-02-19T21:55:09.306Z"
      },
      {
        "id": 94851,
        "title": "Imagine AI - We build your B2B content pipeline so your prospects find you first",
        "tagline": "#1 B2B content engineering for Linkedin, Blogs, and Thought Leadership that converts $10M so far",
        "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI, and we build B2B content pipelines for companies doing sales-led growth.\n\n**TL;DR:** We build high-fidelity personas that replicate how you think and write, then use them to handle your entire content pipeline: LinkedIn posts, strategic comments, GEO/SEO/category defining blogs. The result is content that drives qualified inbounds.\n\nOne client got 200 qualified inbounds in a month. Another landed a $5M deal from a single post. A third generated 40K in revenue from inbounds in 10 days.\n\nhttps://youtu.be/SiAtXolPFmY\n\n**The Problem**\n\nB2B founders know content drives pipeline. But you're juggling product, sales, and fundraising. You don't have time to make B2B content. Hiring an agency costs $150K and takes months to onboard. Generic AI tools produce robotic content that damages your brand.\n\n**Our Solution**\n\nWe don't just write posts for you. We perform content engineering to get you to content market fit.\n\n![uploaded image](/media/?type=post&id=94851&key=user_uploads/1654391/15084825-fe7a-42f5-a032-78c90d251f6a)\n\nHere's what that means:\n\n**Step 1: Build a high-fidelity persona** We extract everything about how you think, write, and sell from your transcripts, articles, and interviews. The result is a persona document literally the length of a Harry Potter book. This isn't surface-level voice cloning. It's deep context about your worldview, your clients' pain points, and your unique insights.\n\n**Step 2: Content engineering to market fit** We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank. Then we optimize based on engagement data until we hit content market fit, where your content consistently drives qualified inbounds.\n\n**Step 3: Measure what matters** We track qualified conversations, not vanity metrics. We closed 10M in revenue so far for our clients.\n\nThat's content market fit.\n\n**Our Traction**\n\nWe launched in mid-July, now serve 30+ paying customers including 16 YC companies plus VCs, global franchises, and ghostwriting agencies (Conduit W24, Freya AI S25, AthenaHQ W25, Itworks, Fuwa Fuwa). Achieving minimum 30%-70% week to week growth.\n\n💡 Results:\n\n* $10M+ in total revenue generated\n* $5M deal from one optimized post\n* $40K inbound revenue in 1.5 weeks\n* 200+ qualified inbounds in one month\n* Client onboarding cut from 2 weeks to 1 week\n* Content prep reduced from 8 hours to 30 minutes\n\n**Our Ask**\n\nFor F25 companies: First 5 to reach out get 20% off first month.\n\nFor everyone: Know a B2B company doing sales-led growth that needs content? Intro us.\n\nTry it: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* [**https://www.linkedin.com/in/skyyang/**](https://www.linkedin.com/in/skyyang/**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)",
        "url": "https://www.ycombinator.com/launches/Ofr-imagine-ai-we-build-your-b2b-content-pipeline-so-your-prospects-find-you-first",
        "votes": 67,
        "created_at": "2025-10-23T17:22:47.927Z"
      }
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  },
  {
    "id": 30956,
    "name": "Automax.ai",
    "slug": "automax-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f265caa416fd1f57b94ea1289947654c7e9e7877.png",
    "website": "https://automax.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automax.ai does property appraisals faster and more transparent. Our mobile app uses LiDAR and computer vision to capture property details automatically, and our custom-trained AI agents combine that data with all the analysis and aggregation required to to generate a complete appraisal report in minutes. The result is a clear, grounded valuation, fully Fannie Mae & Freddie Mac compliant — done in under 20 minutes from start to finish.",
    "one_liner": "AI native real-estate appraisal firm",
    "team_size": 4,
    "industry": "Real Estate and Construction",
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        "full_name": "Humza Ahmed",
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        "title": "Automax- AI-powered property appraisals in minutes",
        "tagline": "AI-native real-estate appraisal firm that delivers fully compliant valuations in minutes instead of days.",
        "body": "**TL;DR:** Appraisals have always been the bottleneck in mortgage underwriting, Automax will appraise any home in just **20 minutes**, fully compliant & with more transparency and data driven insights.\n\nhttps://www.youtube.com/watch?v=-M8BFckrxyk\n\nHey I’m Humza, Founder of Automax 👋\n\nFor the last 40 years, my family has been in the appraisal business. Automax first started as internal tooling to automate their manual Excel and report processes. That side project grew to power **3,000+ reports** a month for some of the largest appraisal firms nationwide.\n\nWhile building that out, we realized the root problem wasn’t tools - it was the appraisal workflow itself: subjective, opaque, and built for a workforce with a median age of 62.\n\nWith new top down regulation called UAD 3.6 coming in January and reshaping the entire reporting format & data guidelines, appraisals are about to experience its biggest reset in decades with **20% of the workforce retiring** and turn times set to expand from the current **5-7 day** average to **several week long**.\n\nHere’s how an Automax appraisal works:\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/5b40d57c-0f8b-45e3-a2a6-12cf719dc5a9)\n\nAutomax sends a certified inspector to scan the property with our mobile app- LiDAR and CV extract 150+ attributes: dimensions, condition, finishes, layout, and more.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/daeb1912-773d-4586-8901-1d114c13b2be)\n\nThat data feeds into AI Agents trained to follow the appraisal process, which generate a full valuation in under 10 minutes by reconciling market data, selecting and scoring comps, cleaning faulty inputs, and adjusting for subtle market signals (like how an upward-sloping backyard might impact site value uniquely in your neighborhood). A licensed staff appraiser then reviews, edits, and signs the report using **Appraisal Copilot**- our suite of AI tools for order management and review- interrogating data, tracing comps, and re-running analyses in context.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/954b1daf-7763-4d75-b86d-70ce54236749)\n\nThe result: a fully Fannie Mae & Freddie Mac compliant appraisal, **delivered on the same day**.\n\n**Ask:**\n\n* Today we’re taking appraisal orders across all of California & Colorado (with new states added each week)- if you or someone you know regularly orders appraisals (real-estate transactions, mortgage, tax, insurance, investment, etc), [**book a call with us here**](https://calendly.com/automax-ai/meet-with-automax-ai) and we’ll do your first appraisal for free.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/f7764b5c-5c45-4036-9490-910123208e70)\n\n",
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        "full_name": "Juan Casian",
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        "founder_bio": "I’m the Co-Founder and CTO of Boom, where I lead our AI efforts and tackle the hardest technical problems behind the product. Before Boom, I was the first engineer at Atrato (YC W21), helping scale a BNPL platform that processed millions in loan applications each month. I hold a double major in Mechatronics (ITESM) and Automation (Hochschule Esslingen). I focus on practical AI that drives business results. I also do hackathons for fun and have won six recently. Outside work I code side projects",
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        "title": "Boom AI: Your AI Growth Team for E-commerce Brands 🚀",
        "tagline": "Turn lost interactions into sales with your 24/7 AI team.",
        "body": "**TL;DR** – Boom is your AI growth team for e-commerce that handles sales, support, and retention automatically. Most brands focus on bringing visitors to their site, only to lose 99% of them before checkout. Boom changes that. Our AI replies to customer questions instantly over Whatsapp, Instagram, Facebook, and Web Chat. We also proactively reach out to customers by reminding them about abandoned carts and making personalized product recommendations. We've already become a top-five sales channel for our first customers.\n\nhttps://youtu.be/IwUjEDUdUVY\n\nMost e-commerce brands don’t lose customers because of bad products. They lose them because no one replies fast enough. 56% of all customer interactions happen outside working hours, and most go unanswered.\n\nBoom gives every brand its own AI sales, support, and marketing team that works 24/7. It answers product and order questions, follows up on abandoned checkouts, notifies customers when items are back in stock, and runs personalized campaigns that bring them back to buy again. There’s no setup required. Just install Boom, and we’ll handle everything. Then sit back and watch as your AI team starts working for you.\n\nIn a short time, Boom has already become a top-five sales channel for our first customers. By personalizing every conversation, it turns missed messages into sales and long-term customer relationships.\n\nE-commerce is a **six-trillion-dollar industry** where most stores still lose 99% of visitors. Boom helps brands change that by making every interaction personal, instant, and effective.\n\nIf you’d like to see Boom in action, email me at [**juan@useboom.ai**](mailto:juan@useboom.ai) or book a demo at [https://**useboom.ai**](https://useboom.ai).\n\n![uploaded image](/media/?type=post&id=94838&key=user_uploads/360287/8665b7ce-5779-46fd-8fc5-c9c1180f7459)\n\n",
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        "user_id": 2724981,
        "full_name": "Alisa Wu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder of Bluma. Featured on NYT and San Francisco Chronicle. Prev UWaterloo Engineering & self-driving SWE at Zoox (Amazon).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wu-alisa/",
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        "user_id": 3002857,
        "full_name": "Stephen Ni",
        "title": "Founder/CTO",
        "founder_bio": "Building Bluma, dropout @ uWaterloo, I like playing chess :)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stephen-ni/",
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      {
        "id": 98704,
        "title": "Bluma - AI UGC Maker",
        "tagline": "Clone winning organic and paid ad video/slideshows",
        "body": "Hey YC!\n\nWe're Alisa and Stephen.\n\nSuper excited to introduce Bluma - the all in one platform for AI UGC that clones winning organic and paid ad video/slideshows.\n\nIt allows you to remix content with a built in video editor and node-based canvas workflows.\n\nWe are the first to crack de-editing - cutting each scene, removing and then adding back on caption, text and on screen image popups.\n\nNo need to switch between different models and creative platforms to compile clips/assets.\n\n**Problem**\n\nUGC is very time consuming and requires recruitment, week long back and forths and expensive retainers/per video fees.\n\nOftentimes for both organic and paid, the best way to find a format is to copy adjacent competitors and remake their script/visuals exactly.\n\nThe whole process end to end is extremely long and expensive, ranging from researching, briefing, sourcing, reviewing, editing, making variations and distributing.\n\n**Solution**\n\nWe believe that AI footage is getting and will continue to get so good that both will converge and be indistinguishable. As such, we can help bring together the whole marketing stack into one platform where all you need is a really good prompter and taste.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/abcdeafe-fa89-4ddc-a571-70e9c7b880e5)\n\nLet's say you want to recreate a winning UGC skincare ad. You can first take the URL and automatically de-edit each scene, captions, text and photo overlays. Then, you can use our asset maker to recreate all the shots exactly.\n\nThen you can save all your workflows as templates in our node based canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/758866c5-48a3-47c4-b396-723ed16f203f)\n\nWe allow you to split screen to work between assets and editing seamlessly - including a creative agent and capabilities like auto captioning.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/dc015a6b-b975-47ed-94bf-ae78dfe24ae2)\n\nYou can also clone slideshows and create multiple variations in one canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/cf3abd59-aede-4eb9-a48c-0033bd3c007c)\n\n**Our ask**\n\nWe'd love for you to try out our product! It is still in beta and any type of feedback is greatly appreciated. There is no waitlist or paywall and you can try starting today at <https://www.getbluma.com/>.\\\n\\\nLinkedIn: [https://www.linkedin.com/company/bluma-ai](https://www.linkedin.com/company/bluma-ai/)\\\nTwitter: <https://x.com/getBluma>\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/4e8170c8-5ad0-44ab-bf86-58710f4e77dd)\n\n",
        "url": "https://www.ycombinator.com/launches/Pg0-bluma-ai-ugc-maker",
        "votes": 12,
        "created_at": "2026-03-12T15:09:58.820Z"
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        "id": 95662,
        "title": "Bluma: The AI short form content engine",
        "tagline": "Your entire consumer marketing strategy run with content templates",
        "body": "Hey all - this is [Alisa](https://www.linkedin.com/in/wu-alisa/) and [Stephen](https://www.linkedin.com/in/stephen-ni/) from Bluma!\n\n**TL;DR** Bluma automates your entire consumer marketing strategy with content templates - a library of automated video workflows that turn scripts and assets into finished videos at the click of a button.\n\n[https://youtu.be/Pi69Jd-fnok](https://youtu.be/Pi69Jd-fnok%5C)\n\n\\\n**Problem**\n\nIf you’re building in consumer, you know that it is super hard to get eyes on your product.\n\nIn a post-AI world, attention is the most valuable commodity. Social media is only growing faster and faster, and we're still early.\n\nShort form has a high barrier of entry due to cost (UGC costs $35/video + $1 CPM, editors are $50/video) and operations as shown below:\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/ade8a7fd-4114-4164-ae5c-f0b389922684)\n\n**Solution**\n\nInstead of manually assembling a video in CapCut, Bluma works like this:\n\n1. Create template format by chatting with AI\n2. Generate videos on autopilot\n3. Push traffic to product/service\n\nOur biggest client runs 8 templates across 16 accounts, posting 2x daily. Bluma is growing 100% w/w and went from 0 to 28k MRR in 4 weeks.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/c5fd4e08-2eb3-4c12-80ea-bcf74db92c92)\n\nUsing templates, we can replicate proven formats and A/B test scripts for you cheaper, faster and more scalable than human creators (UGC, editors).\\\n\\\n**Our Vision**\n\nMake video effortless and accessible to anyone through (video automation) templates.\n\n**Team**\n\nAlisa was the youngest engineer at 19 working on self-driving at Zoox. Stephen scaled payment infrastructure to millions at Shopify. Having generated over 6.7M views and been featured on New York Times, we have taste for scalable virality.\n\nWe met 3 years ago when we snuck into the Collision Tech Conference and spent the entire summer building in WeWork offices before both heading into the University of Waterloo. Dropped out and planned to bootstrap until we applied 21 days late and went into YC F25.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/cc17438d-9b2f-46a2-8827-2d2f96863dba)\n\n**Our Ask**\\\nIf you’re looking to start or scale your editing pipeline with templates, contact us at https://getbluma.com/book-a-call\n\nWarm intros to your cap table investors in the video or marketing space!\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/7db5999c-dddc-41ca-95f1-31c39b7889af)\n\n",
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    "id": 31009,
    "name": "Specific Labs",
    "slug": "specific-labs",
    "former_names": [
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    "website": "https://withspecific.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Specific builds enterprise environments and datasets representative of work inside real-world businesses. The next frontier of AGI is bottlenecked by data that is hard to access, and we make that easier.",
    "one_liner": "Real World Environments and Data for AI",
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    "primary_partner": {
      "name": "Pete Koomen",
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    "founders": [
      {
        "user_id": 426892,
        "full_name": "Janak Sunil",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO @ Specific Labs, Real-SWE\n\nPrev @ Coinbase",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/janaksunil/",
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      {
        "user_id": 1243050,
        "full_name": "Siddhant Paliwal",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO @ Specific \n\nPrev @ Third Chair (YC X25), Intel. Founded my first company at 15, invited to the UN.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/siddhantpaliwal/",
        "x_url": "https://x.com/siddhantpa1iwal",
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    "launches": [
      {
        "id": 114666,
        "title": "Real-SWE: A coding benchmark built from private company codebases",
        "tagline": "Can coding agents can do real engineering work on codebases they've never seen?",
        "body": "![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/94ad1344-e8cb-4757-8023-59f3ed3e6081)\n\n**TL;DR**\\\nSpecific Labs (YC F25) is launching Real-SWE, a benchmark that evaluates coding agents on real software engineering tasks that engineers performed, using private, out-of-distribution codebases. Public benchmarks are built on open source repos models have already seen. Real-SWE tests whether an agent can do the work inside a company it has never encountered. Leaderboard and task examples at <https://realswe.withspecific.com>\\\n\\\n**Hi, we're Janak and Sid**\\\nOver the past year we've acquired and licensed operational data and codebases from real companies, and one question kept coming up with labs: how do coding agents actually perform on private code? Nobody had a clean way to measure it. So we built one.\n\n**The problem**\\\nEvery major coding benchmark is built on public repos. Models have trained on that code or on code that looks a lot like it. Scores keep climbing, but the number companies care about is different - can this agent land a fix in our billing system, our permissions layer, our customer data pipeline, without having seen any of it before?\n\n**What Real-SWE is**\\\nReal-SWE is a set of tasks pulled from real work engineers did on private company codebases. Examples include an app with 200K+ users, a fintech platform processing 100K+ bank statements, and enterprise sales tools.\n\nEach task gives the agent the codebase and the context an engineer would have had, then checks whether the fix actually works. One example: fix invoice billing so each business charges the right tax and exempt customers aren't taxed. The agent has to work out how the business handles tax, connect the tax provider, and keep invoices consistent.\\\n\\\n**What we found**\n\nAgents that look strong on public benchmarks struggle a lot more when the codebase is one they've never seen.\n\n![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/5c10421b-da9c-4447-bb76-5cf298a890c9)\n\n\\\n\\\n**The ask**\n\n* If you're at a lab and want your model evaluated, or want the full task set for training, email [janak@withspecific.com](mailto:janak@withspecific.com)\n* If you run a company and would be open to contributing a codebase (we handle anonymization and tasks stay private), reach out",
        "url": "https://www.ycombinator.com/launches/TpS-real-swe-a-coding-benchmark-built-from-private-company-codebases",
        "votes": 11,
        "created_at": "2026-09-10T18:52:18.053Z"
      },
      {
        "id": 94289,
        "title": "Bear - Get recommended by AI Agents 🤖",
        "tagline": "Track and influence how often you appear on ChatGPT, Claude Code, Perplexity, and more",
        "body": "Hey everyone 👋\n\nWe’re [Janak](https://www.linkedin.com/in/janaksunil/) and [Siddhant](https://www.linkedin.com/in/siddhantpaliwal/), co-founders of [Bear](https://www.ycombinator.com/companies/bear)!\n\n# **TLDR ⚡️**\n\n**Bear helps companies get recommended by AI Agents.** **60+** companies use our platform, including **Browserbase**, **Wispr Flow**, **Cal.com** & tons of other YC companies.\n\n**Asks ❓**\n\n1. Can you introduce us to any heads of growth/marketing at Series A+ companies?\n2. You can try us out at [usebear.ai](https://usebear.ai). We would love your feedback!\n\n[**https://youtu.be/463PtjO_87g**](https://youtu.be/463PtjO_87g)\n\n# **Problem 😔**\n\nMarketers don't have a reliable way to track how often they and their competitors get recommended by AI agents like ChatGPT and Claude Code. Further, they do not know how their products can be recommended by them.\n\n# **Solution 😃**\n\n1. **We gather a lot of data** 📊: when your company shows up, when competition shows up, the sources contributing to AI answers, and the exact prompts behind them.\n2. **Find and Copy content that AI likes 😃**:\n\n   **Example:** if you’re Brex, and Ramp has a blog titled “Best Business Credit Cards 2025” that shows up as a source for ChatGPT a lot, our platform makes it easy to clone it for Brex.\n3. **Find and reach out to sources that AI likes** 🤝:\n\n   **Example:** if CNET is a frequently cited source for a question like “What are the best laptops 2025?”, we automatically find the author of the blog and reach out to them on your behalf.\n\nYou can sign up for **free** on our [website](https://usebear.ai)!\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/5260a478-aa4a-444a-b7c3-263f5ae7a8da)\n\n**Why this matters now ‼️**\n\n\\~10% of searches on US Desktops now happen on AI Search (probably more).\n\nYour customers are asking “what’s the best project management tool” or “best AI CRM” and getting answers that might not include you - even if you rank on Google.\n\nBlue links are inherently **archaic.** The future of search is **conversational.**\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/87e46333-fc56-49eb-aa81-900f6f274d85)\n\nJanak was previously at Coinbase and is the founder of UCLA’s largest apartment listing platform (Acquired 2024).\n\nSid was an early engineer at Third Chair (YC X25) and Intel. He started his first company, a parking app, at 15 and was invited to the UN.\n\n## **Asks:**\n\n🎯 **Try our platform** - 7-day free trial at [**usebear.ai**](http://usebear.ai) (especially if you’re B2B SaaS, we have great data for your space)\n\n🤝 **Introductions** - If you know heads of growth/marketing at Series A+ companies who care about search visibility\n\n📊 **Feedback** - What can we improve about our website, onboarding, product, etc?",
        "url": "https://www.ycombinator.com/launches/OWn-bear-get-recommended-by-ai-agents",
        "votes": 105,
        "created_at": "2025-10-01T22:29:01.620Z"
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    "id": 31010,
    "name": "Amika",
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    "website": "https://www.amika.dev/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Amika is infra to build your software factory.\r\n\r\nWe give your team sandboxed AI coding agents in the cloud: the same infrastructure Ramp, Coinbase, and Stripe built in-house. Kick off work from a web UI, CLI, Slack, or API. Use your preferred coding agent (Claude Code, Codex, etc.). Each agent understands your codebase, runs autonomously, and ships real PRs with live previews of the apps it changed. Use it as your daily driver or plug it into your own code-gen pipeline via API.",
    "one_liner": "Infra to build your own software factory",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1759722442,
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      "Machine Learning",
      "B2B",
      "Infrastructure",
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    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/amika.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/amikadev/",
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      "name": "Tom Blomfield",
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      {
        "user_id": 101903,
        "full_name": "Dylan Mikus",
        "title": "Founder/CEO",
        "founder_bio": "Making infra for software factories. Helping people spin up sandboxed coding agents, and then control the interactively or programmatically so they can automate their entire SDLC.\n\nCMU grad in comp sci and ML\n2x YC founder",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dbmikus",
        "x_url": "https://twitter.com/dbmikus",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10786d1817ed7d689f6f3313f3b2c73f38c9f9a5.jpg"
      },
      {
        "user_id": 1013839,
        "full_name": "Jakub Cichon",
        "title": "Founder/CTO",
        "founder_bio": "co-founder / CTO at Amika. Building infra for software factories. \n\n2x YC founder.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jakub-cichon-14016a3b",
        "x_url": "https://x.com/jdcamika",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/095af1aef16261010001d5599b3059bc222330e3.jpg"
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      {
        "id": 103929,
        "title": "Amika - the operating system for AI agents to write and verify code",
        "tagline": "Run fleets of human-in-the-loop or background coding agents inside cloud computers. Let them automate coding and verify it's correct.",
        "body": "Software isn't a craft anymore, it's a manufacturing problem.\n\nAt Amika, we're building **the open source operating system for coding agents to automate their work**, like how the factory automated manufacturing.\n\n**Amika gives each agent a cloud computer, and lets you build automated or human-in-the-loop workflows for agents to write code and prove that the code is correct.**\n\nA couple of examples:\n\n\\- Have Amika monitor production and auto-fix errors, testing the fix against your real app\n\n\\- Add Amika to shared customer Slack channels. Auto-implement customer requests and share a live preview the updated app with them\n\nCheck out some more examples in our video 👇\n\n<https://youtu.be/GxqFsiBNbww>\n\n# The problem\n\nAI coding agents made code generation cheap. Producing correct code at scale, with real quality controls, is still unsolved. You're left with a tradeoff: pore over every change and go slow, or vibe-code and ship slop.\n\nCoding agents are useful, but the surrounding system is missing.\n\n\\- They lack the right **dev environment to verify their work**\n\n\\- They lack the right **context to understand the full problem**\n\n\\- They lack **deterministic guardrails controlling what they can change**\n\n\\- They produce 10x more code, but teams lack **a system for 10x more review**\n\n# How Amika solves this\n\nAmika composes 5 primitives into its agent operating system:\n\n1\\. **Sandboxed environments**: isolated cloud computers with the repos, tech stack, MCP servers, skills, and context an agent needs.\n\n2\\. **Workflows**: programs as code or markdown files that define when an agent runs and what job it does.\n\n3\\. **Deterministic guardrails**: rules enforced on every code change, like \"do not cross this module boundary\" or \"every database query must include a customer ID filter.\"\n\n4\\. **Automated verification**: test, review, fix, and merge loops that check the work against your real tech stack before it ships.\n\n5\\. **Audit trails**: the agent chat session, code changes, which checks passed, and what the run cost.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/a1246cf3-1ed1-435d-94fb-2cb7437b4995)\n\nAmika works with your existing coding agent subscriptions (Claude Code, Codex, etc.) so **you're not locked into one vendor**. Start agents from the web, Slack, GitHub, the CLI, or the API. At any point, a human can take over the sandbox and inspect the running apps, or drive from their own code editor.\n\nBecause each sandbox runs your full stack, you review the agent's work in a live preview of your real app, plus the verification artifacts it produced, like screen captures or API test requests, instead of poring over the diff line by line.\n\nWith Amika's workflows and environments, you can spend time building higher level loops for your agent to write and verify code, speeding up your product development.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/60e16093-3dcf-4285-b73b-998c74507145)\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3b84372e-0a00-46a3-afd1-d711547c256b)\n\n# Who we are\n\nWe're [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), two time YC cofounders.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/497da8a5-bfa8-407e-98f6-b613d9389b50)\n\nWe pivoted our YC company to bet on this, and we already use Amika for the majority of our PRs. We're building it in the open: each primitive ships as open source, and our cloud platform packages the whole operating system into a software factory for teams.\n\n# Our ask\n\n\\- Sign up for a **free two-week trial at [amika.dev](https://www.amika.dev/)**\n\n\\- Dig into the **open source repo** on GitHub: <https://github.com/gofixpoint/amika>\n\n\\- If you want **help setting up your software factory**, book at demo at <https://cal.com/amika-dev/30min>\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3e200f7d-2b3f-4e3e-99f3-d0249987c72c)\n\n",
        "url": "https://www.ycombinator.com/launches/R2H-amika-the-operating-system-for-ai-agents-to-write-and-verify-code",
        "votes": 18,
        "created_at": "2026-06-24T17:06:48.500Z"
      },
      {
        "id": 94868,
        "title": "Fixpoint - Uber for AI trainers and human-in-the-loop supervisors",
        "tagline": "Fixpoint helps AI data companies automate sourcing, vetting, and all HR for your expert annotator teams",
        "body": "Hello, world! We’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), the co-founders of [Fixpoint](https://fixpoint.co/).\n\n**Fixpoint helps AI training data companies hire the expert humans that create AI training data**.\n\nAI needs human experts to teach it new skills and benchmark its performance: PhDs for science, lawyers for contract review, etc. But finding and vetting these experts is time-consuming, and without properly vetting experts, you’re paying for bad data!\n\nFixpoint automates this process, connecting companies with verified experts at the push of a button, so you can focus on creating quality AI training data instead of recruiting.\n\n[Launch Video](https://youtu.be/9TCgpe0tT3w)\n\n**We have two products:**\n\n1. **Worker Vetting API** - Plug Fixpoint’s API into your onboarding workflow and vet the credentials and backgrounds of workers. **Catch 10x the worker fraud!**\n2. **White-Glove Expert Staffing** - When you need annotators fast, Fixpoint can source and hire a team of qualified experts. **Staff a team of 100s in just a couple weeks.**\n\n**Our track record:**\n\n* We’ve caught 10x the fraudulent applicants for top AI data companies\n* We’re partnered with data companies to staff teams for the top AI labs\n* We are GDPR ready and SOC 2 certification is underway\n\nUltimately, we're building the platform for \"human data ops\". Just as chip designers use TSMC for chip manufacturing, AI companies can use Fixpoint for the human expertise and tools needed to create specialized training data and evals.\n\n# Our ask\n\nSend us an email at [**founders@fixpoint.co**](mailto:founders@fixpoint.co) or [**grab a demo**](https://cal.com/fixpoint/demo) if:\n\n* You’re an AI data company or RL company and need a team of expert annotators\n* You’re an enterprise that needs to eval or benchmark your AI agents in a specialized domain (healthcare, legal, etc.)\n* You’re on the “human data” team at a model lab and have trouble managing experts or their data\n* You don’t fit in the above, but you or someone you know could use our services!\n\n# About us\n\nWe’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/). We’re second time YC founders who’ve worked together since we met at Oscar Health in 2018. We’ve built everything from search systems, to chatbots, to data infrastructure, to AI web research agents.\n\n![uploaded image](/media/?type=post&id=94868&key=user_uploads/101903/ad8316ad-d855-46de-9ffc-67bb1fd62847)\n\n",
        "url": "https://www.ycombinator.com/launches/Og8-fixpoint-uber-for-ai-trainers-and-human-in-the-loop-supervisors",
        "votes": 25,
        "created_at": "2025-10-23T21:41:36.522Z"
      }
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    "id": 31011,
    "name": "Openroll",
    "slug": "openroll",
    "former_names": [
      "Compensara"
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    "website": "https://www.openroll.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Openroll is an AI-powered workspace for people and finance teams.\r\n\r\nOpenroll lets teams automate recurring work and run fully auditable workflows across their systems.\r\n\r\nCompensation, headcount, and budgeting in one platform.\r\n\r\nLearn more at https://www.openroll.com",
    "one_liner": "The AI workforce for People and Finance teams",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758664179,
    "tags": [
      "B2B",
      "Productivity",
      "HR Tech",
      "Enterprise Software",
      "AI"
    ],
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    "batch": "Fall 2025",
    "status": "Active",
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      "B2B"
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    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/openroll",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/openroll.json",
    "year_founded": 2024,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/openroll/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
    },
    "founders": [
      {
        "user_id": 1762740,
        "full_name": "Mattias Lindell",
        "title": "Founder/CEO",
        "founder_bio": "Mattias is the CEO and co-founder of Openroll, where he is building the agentic platform for People and Finance teams. Before Openroll, he competed in elite youth football, co-led multi-billion procurement projects at Swedbank, and launched multiple ventures - from a bedsheet-cleaning service to consumer apps - while studying. He left his MSc in Finance at Sweden’s top university, SSE, to work full-time on Openroll.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lindellmattias/",
        "x_url": "https://x.com/MattiasLindll",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61f6aacd9511c99664139c956580c80e300222a6.jpg"
      },
      {
        "user_id": 2230084,
        "full_name": "Porsev Aslan",
        "title": "Founder/CTO",
        "founder_bio": "Reimagining how organizations work, automate, and operate with AI agents.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/porsev-aslan/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d33c6bbde4d4e16d321d18add41a05da6453d0d.jpg"
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    ],
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    "launches": [
      {
        "id": 94293,
        "title": "Openroll: The AI that Shows Exactly What Your Competitors Pay",
        "tagline": "AI agents that reveal competitor pay and guide every salary decision.",
        "body": "**TL;DR:** Companies spend trillions each year on salaries but still guess what to pay. Openroll ends that. Our AI agents reveal exactly how competitors pay – company by company, role by role – and guide leaders through salary decisions in real time.\n\nEarly customers are already closing candidates they used to lose, retaining their best people, and seeing 3X ROI in week one and six-figure P&L impact.\n\nKnow any tech People/HR leaders, CFOs, or CEOs? Let’s connect: [mattias@openroll.com](mailto:mattias@openroll.com)\n\nhttps://youtu.be/WfrVYtrUWmM\n\n**Problem**\n\nImagine playing chess without seeing the board.\n\nThat’s how companies set pay today. Salaries decide who joins, who stays, and who leaves – yet leaders still move blindly.\n\nIn fast-moving markets, the stakes are extreme. Miss the mark and:\n\n• The candidate you need takes a competing offer.\n\n• A top performer walks when they discover they’re underpaid.\n\n• Replacements cost months of time and resources.\n\nDespite salaries being the largest spend in business, companies still rely on industry averages, gut feeling, and overpriced consultants. By the time they get an answer, it’s already too late.\n\nThe consequences of guessing on pay are brutal: lost candidates, frustrated teams, and six-figure mistakes. And even the biggest, most sophisticated companies still make them.\n\n**What We’ve Built**\n\nOpenroll is an agentic AI platform that brings real transparency into compensation for the first time:\n\n* **See competitor pay, company by company:** Know exactly what your peers pay their employees. No averages. No black boxes. Just transparent data.\n* **AI-guided pay decisions:** From setting starting salaries to balancing cash vs. equity, agents guide leaders through the toughest calls.\n* **Speed is survival:** Weeks of manual work and spreadsheets collapse into seconds – giving you the edge to win and keep the people who matter most.\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/cabffc7c-4a3c-4956-be6d-db93d501d7b4)\n\n**Why This Matters**\n\nHere’s what our users say:\n\n“Candidates we used to lose now close in days.”\n\n“We finally know where we stand in the market.”\n\n“Comp decisions that dragged on for weeks now take minutes.”\n\n“For once I know what my competitors actually pay”\n\n**Employees** love Openroll because they know pay is fair and transparent. **Managers** love it because they can act instantly and with confidence instead of wrestling with spreadsheets and guesswork. **Executives** love it because it keeps their teams together and turns compensation into a driver of growth, not risk.\n\nThe pull from tech companies has been great but any organization competing for talent is starting to see Openroll as essential infrastructure.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/3c74d2d1-d720-4719-953e-8d0b235a3d29)\n\nWe are **Mattias Lindell** and **Porsev Aslan**. Over the past year, we’ve lived inside the world of compensation – shadowing HR teams, interviewing leaders, and building alongside early adopters.\n\nWe’ve sat in the rooms where offers were lost and talent walked away, and we’ve refined Openroll hand-in-hand with the companies fighting to keep their people.\n\n**Our Ask**\n\nKnow any CHROs, Heads of People, CFOs, or CEOs who care about retaining top talent? Please connect us.\n\nHave you ever been frustrated by surveys, consultants, or guessing games around pay? We’d love to hear your stories.\n\nReach out at: [mattias@openroll.com](mailto:mattias@openroll.com)",
        "url": "https://www.ycombinator.com/launches/OWr-openroll-the-ai-that-shows-exactly-what-your-competitors-pay",
        "votes": 18,
        "created_at": "2025-10-02T01:47:21.804Z"
      }
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    "id": 31018,
    "name": "item",
    "slug": "item",
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    "website": "https://item.app",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.",
    "one_liner": "The AI-Native CRM that works for you",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1762209746,
    "tags": [
      "B2B",
      "CRM",
      "Automation",
      "AI Assistant"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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      "B2B",
      "Sales"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/item",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/item.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/99138518",
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      "name": "Pete Koomen",
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      {
        "user_id": 322839,
        "full_name": "Andres Santanilla",
        "title": "Founder/CEO",
        "founder_bio": "Building what comes after the CRM - 2nd time founder ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/asantanilla",
        "x_url": "https://x.com/asantanillaj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a2272e34b68c83be638d7987c2bf3c18f002b52.jpg"
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      {
        "user_id": 1639094,
        "full_name": "Akshay Guthal",
        "title": "Founder/CTO",
        "founder_bio": "Building what comes after the CRM",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/akguthal",
        "x_url": "https://twitter.com/akguthal",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e2ee53ee004bf62a519be9c469eeb5479871fcf.jpg"
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    "jobs": [
      {
        "id": 88275,
        "title": "Product Engineer",
        "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $200K",
        "equity_range": "0.50% - 0.99%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "PostgreSQL",
          "React",
          "TypeScript",
          "Next.js",
          "Tailwind"
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    "launches": [
      {
        "id": 95143,
        "title": "item: The AI-Native CRM that works for you",
        "tagline": "The CRM that knows your business and works like your best employee",
        "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n",
        "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you",
        "votes": 138,
        "created_at": "2025-11-03T23:52:58.025Z"
      }
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    "id": 31022,
    "name": "Coasts",
    "slug": "coasts",
    "former_names": [
      "JSX Tool"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14423e406f790420f115f8958c1af6eb85b97201.png",
    "website": "https://coasts.dev",
    "all_locations": "",
    "long_description": "A Coast (containerized host) is a local development runtime. Coasts let you run multiple isolated environments for the same project on one machine. As AI coding agents increasingly work in parallel across git worktrees, developers hit painful conflicts — clashing ports, duplicated databases, and fragile per-branch setup. Coasts solve this by giving each worktree its own fully isolated runtime, so multiple agents can build and test side by side without stepping on each other.",
    "one_liner": "Localhost service isolation and orchestration for git worktrees",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1762549706,
    "tags": [
      "Developer Tools",
      "B2B",
      "Productivity",
      "Design",
      "Web Development"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Inactive",
    "industries": [
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      "Engineering, Product and Design"
    ],
    "regions": [
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    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/coasts",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/coasts.json",
    "year_founded": 2025,
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    "country": null,
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    "github_url": "https://github.com/jsx-tool/jsx-tool",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 179922,
        "full_name": "Jamie Sunderland",
        "title": "Founder/CEO",
        "founder_bio": "Second time YC founder. Former YC Product Engineer (I made the YC investor CRM). I like weird front end things a lot. In a former life I started Cheqout (YC W21), a QR-based ordering platform that grew to over 250 restaurants and $30M GMV during the pandemic. Before that I was a developer on Airbnb's China Risk Team.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/jamesrainersunderland/",
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      {
        "user_id": 3082625,
        "full_name": "Dan Hyman",
        "title": "Founder/CTO",
        "founder_bio": "Senior Engineer and Cloud/AWS expert with experience leading teams building enterprise applications and infrastructure.  In a past life, I was a chef at a James Beard award winning restaurant.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dan-hyman-dev/",
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      {
        "id": 95312,
        "title": "JSX Tool: In-Browser React IDE",
        "tagline": "The AI first IDE for React development",
        "body": "**tl;dr**\n\nJSX Tool is an in-browser IDE that creates a common language between developers and AI for building React UIs. Click any element in the browser to jump straight to the relevant line of code and edit it yourself, or provide precise context to an LLM to make updates.\n\nhttps://www.youtube.com/watch?v=JIIXvN7vhrs\n\n---\n\n---\n\n---\n\n**The Problem**\n\nLLMs have transformed how we write code, yet they consistently struggle with precise UI updates. The common belief is that AI simply doesn’t do well with visual tasks, but the real problem is that we're asking LLMs to understand UI without giving them proper context. They’re great at vibe styling but not great at producing precise UIs.\n\nWhen you prompt an LLM about styling or component changes today, you're describing visual elements through text alone. It's like giving directions without a map. Meanwhile, developers juggle between browser DevTools, their code editor, screenshot tools, and component explorers just to gather enough context to make AI useful for these kinds of tasks.\n\n**Our Solution**\n\nJSX Tool addresses this by letting you click on any element and prompt your LLM with precise DOM context, the exact source component, its styles, and its position in the React hierarchy. Everything happens in one place: inspect, prompt, edit, and see changes instantly. \n\nAnd when AI suggestions aren't quite right, our full IDE is right there in the browser with that same context, so you can jump to the exact line of code you want to edit with a single click. You get the benefits of AI, while keeping the creative control and the nuanced decision-making that UI development demands.\n\nNow developers and AI models share a common language for UI; both can reference the exact same visual elements with clarity, turning LLMs from guessing machines into powerful UI collaborators.\n\n**@Tagging:** In your prompts, you can either type @ and click on a section of your webpage to reference another element relative to the one you’re focused on OR you can type @/ to mention files and directories you want the LLM to have as context in your prompt.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/2b76e7e0-6efc-4bb5-8b16-86f1cffd6f08)\n\n**CSS Editor:** JSX Tool has a CSS editor that is nearly as feature-complete as the native CSS style editors found in browser element inspectors. Instead of applying your changes to a single element, you can see how your change to a line of JSX code would be applied globally.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/f911aeb0-3a85-4e30-9042-d49fd4a06d61)\n\n**LSP Integrations:** JSX Tool ships with a lightweight IDE for manually editing code, but still an IDE that does some heavy lifting. The JSX Tool IDE integrates in language servers for common React development tasks, so you can have things like type-checking, auto-complete, and linting upon save. We currently ship with LSPs for Typescript, Tailwind, ESLint, and Prettier.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/57a590b7-b2c0-41e1-90c3-336c839b7219)\n\nTo learn more or start using the extension, go to [jsxtool.com](https://jsxtool.com)!\n\n_Note: IDE features are currently in app review and will be available in our next release._\n\n**Team**\n\nJamie and Dan grew up in New York City and have been working on projects together for nearly 20 years. Before JSX Tool, we most recently built a mobile app for bypassing news site paywalls.\n\nJamie is a second-time YC founder. Prior to starting JSX Tool, he worked as a Software Engineer at YCombinator on their investor software. He previously co-founded Cheqout, a restaurant technology company that was a part of the YC W21 batch. Prior to his first startup, Jamie worked on Airbnb's China Risk Team.\n\nJamie has had a deep interest in higher-order and visual programming for a while. He previously built a version control system to diff and merge structured, non-textual assets. Many of the technical problems encountered in that project were very similar to those encountered in JSX Tool.\n\nDan worked most recently as a Senior Software Engineer at Everblue, where he led engineering teams building workflow applications to power US government systems. Prior to that, he worked as a Senior Cloud Engineer at Sela US. He got his start in tech in the world of React and has since returned to his roots. In a former life, he was a Chef at a James Beard award-winning restaurant.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/89898/dc4d88be-c544-45e6-9936-8dd8f08e80aa)\n\n",
        "url": "https://www.ycombinator.com/launches/OnI-jsx-tool-in-browser-react-ide",
        "votes": 53,
        "created_at": "2025-11-09T16:01:49.332Z"
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    "id": 31051,
    "name": "Corvera",
    "slug": "corvera",
    "former_names": [
      "Sarah.AI",
      "Sarah AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ba3bd8042a63e5e4cc8707533d8561d2aa5bf74.png",
    "website": "https://corvera.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Corvera (YC W26) is the AI sales agent for CPG brands. We turn the data a brand already has into the actions its sales team takes today.\r\n\r\nA CPG brand sells into tens of thousands of independent US stores through dozens of distributors, and works that base with a handful of people. CLEAN Cause, a $20M yerba mate brand, covers 21,000 stores through 46 distributors with a four-person sales team. The accounts worth a call are not capped by headcount. The team is.\r\n\r\nCLEAN Cause now runs its daily sales decisions on Corvera: 5,000 queries in 40 days across 12 users, $250K of opportunities surfaced within days, and a 7x return on the analysts they would otherwise hire.\r\n\r\nWith Corvera in place, every sales rep starts the morning with:\r\n- The stores to act on today, ranked and priced, with the reason on the row,\r\n- The outreach already drafted to the right contact at the right distributor, and\r\n- The follow-up booked, logged, and measured against the goal it was set to move.\r\n\r\nAll from the distributor feeds, retailer portals, and ERP data they already have, resolved into one context layer - without a data team, and without handing their sales to a broker.\r\n\r\nWe’re founded by Chris (2x Founder; ex-CEO at Better Nature; Forbes 30U30), Dirk (ex-Google Data & AI Lead), and Matthew (ex-Head of Product at Rosemark; Princeton MEng in CS).\r\n\r\nTo date, we’ve raised $6.2M and are backed by YC, firstminute capital, 6 Degrees Capital, 20VC, Rebel Fund, Duke Capital Partners, and more. Our ICP is US CPG brands doing $20M+ in retail revenue through UNFI, KeHE and DSD distributors. We sell to VPs of Sales and CEOs.\r\n\r\nThe incumbents prove the scale. Brokers take 5-12% of a $350B US independent grocery market, and Advantage Solutions, a publicly traded company, does $3.5B in annual revenue.\r\n\r\nOur mission is bold: to enable the next generation of unicorn CPG brands to be run by teams of less than 10 people.\r\n\r\nOur vision is even bolder: to give every CPG brand the coverage of a full sales team at a fraction of the headcount, and displace the broker network that covers the US independent channel today.\r\n\r\nVisit www.corvera.ai to learn more!",
    "one_liner": "The AI sales agent for CPG brands",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1763141207,
    "tags": [
      "SaaS",
      "Consumer",
      "B2B",
      "Data Engineering",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
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      "Sales"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/corvera.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/covera-ai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 3038174,
        "full_name": "Christopher Kong",
        "title": "Founder/CEO",
        "founder_bio": "2× founder; previously CEO & Co-Founder of Better Nature, Europe's #1 tempeh brand - sold in 5,000 retail stores across 6 countries. Closed every sales deal and led every fundraise. Turned down a job offer at McKinsey to start the business straight out of university. Worked very hard and learnt a lot about how CPG brands operate.\n\nOxford Uni grad, Forbes 30 Under 30, and World Athletics-ranked marathon runner. Now giving everything to Corvera, the AI sales engine for CPG brands.",
        "is_active": true,
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        "user_id": 3149010,
        "full_name": "Dirk Breeuwer",
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        "user_id": 1655952,
        "full_name": "Matthew Collins",
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        "founder_bio": "Co-founder and CPO of Corvera, the AI agent workforce for CPG back-office. Ex-CPO of Rosemark (successor startup to Rosetta acquired by Publicis for $575m). Grew Eton's CS dept. Princeton ECE grad and varsity lightweight rower.",
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      {
        "id": 96996,
        "title": "Corvera 🛒 | AI agents for CPG brands",
        "tagline": "AI agents that automate retail brand ops and increase profits by 40%",
        "body": "Hey, we’re [Chris](https://www.linkedin.com/in/cwnkong/), [Dirk](https://www.linkedin.com/in/dirkbreeuwer/) and [Matthew](https://www.linkedin.com/in/itsmcollins/) - cofounders of Corvera!\n\n# **TL;DR**\n\nCorvera is the AI agent workforce for CPG back-office. We help retail brands increase profits by up to 40% by deploying digital workers that run their operations. \n\n**Ask:** Looking for intros to CPG brands that sell into retail, ideally with &gt; $50M in ARR. Direct them to our website to schedule a demo!\n\n**Website:** <https://www.corvera.ai/>\n\n**Book a demo:** <https://www.corvera.ai/schedule-demo>\n\n<https://www.youtube.com/watch?v=o5ZLvv9Cgro>\n\n### **The Problem**\n\nRetail CPG brands are drowning in operational debt.\n\n* **Ops is a massive opportunity cost** – US CPG brands waste 40% of their time and spend $78bn managing supply chains when they should be getting their products out there and selling to more customers.\n* **Poor ops is a huge growth bottleneck** – CPG founders typically stem from product, marketing, or sales backgrounds. Therefore, ops handled by non-ops founders = distraction, pain, and time wasted on non-value-add tasks.\n* **Ops pain scales with the brand –** Ops debt and headcount grow as a brand serves more customers, launches more products, and operates in more geographies, further hampering the brand’s growth.\n\n### **The Solution**\n\n**Corvera is the fully autonomous command centre managing ops for fast-growing retail brands.** \n\nWe help brands cut wastage, improve margins, and maximise revenue, with an AI workforce that knows exactly how CPG brands work. We automate the 3 core ops workflows which consume the most time and hamper growth:\n\n**1) Sales Order Processing**\n\n_Process orders end-to-end without lifting a finger._\\\n\\\nCorvera plugs into your existing tools and automatically processes sales orders end-to-end, from fulfillment to invoice. It parses email PDFs and text, matches them against known entities in our catalogue, and executes downstream actions with human-in-the-loop approvals.\n\n**2) Inventory Management**\n\n_Track inventory across every location in real time._\n\nCorvera knows exactly where your stock is and how much you’ve got at all times. We seamlessly sync inventory data across all of your warehouses, track shipments and transfers, and suggest actions to rebalance stock across your estate to maximize short-term revenue.\n\n**3) Demand Forecasting & Supply Planning**\n\n_Forecast demand in real time and automatically process purchase orders to prevent stockouts._\n\nCorvera learns from your sales history and, coupled with insights from your team, forecasts demand in real time. With full visibility of your inventory across all locations, Corvera suggests corrective actions to prevent stockouts, so you can maximize your revenue, keep your customers happy, and accelerate your growth. \\\n\\\n**In short:** We take away ops pain from CPG brands, allowing them to do what they do best - market and sell their products to their customers. \n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=96996&key=user_uploads/3038174/4e3af8f4-816c-4f7e-bb27-9a529803d966)\n\nFrom Left to Right:\n\n[**Dirk Breeuwer**](https://www.linkedin.com/in/dirkbreeuwer/) (Co-Founder & CTO)\n\nFormerly Data and AI Lead at Google with 6+ years of experience. Led Google’s marketing AI transformation, incubating five AI systems, including a multi-agent workflow automation that improved brand compliance review efficiency by 90%.\n\n[**Christopher Kong**](https://www.linkedin.com/in/cwnkong/) (Co-Founder & CEO)\n\n2x Founder, Forbes 30U30, formerly CEO of Better Nature - one of Europe’s fastest-growing and largest meat-free brands, active in 6 countries and sold in 5,000+ retail stores. Closed every major sales deal and led every fundraise.\n\n[**Matthew Collins**](https://www.linkedin.com/in/itsmcollins/) (Co-Founder & CPO)\n\nEx-CPO at Rosemark, an AI-powered B2B data analytics and marketing platform, and scaled the Computer Science department at Eton College, the UK’s most prestigious boarding school. A Princeton grad with an MEng in CS. \n\n[**Berk Güngör**](https://www.linkedin.com/in/berk-g%C3%BCng%C3%B6r-35196a14a/) (Founding Engineer & Head of AI Engineering)\n\nAI/ML Engineer with 6+ years of experience, focused on applied LLMs and real-world AI automation. Holds an MSc in AI from the University of Hamburg. An all-round beast and an incredible asset to the team - we’re lucky to have him.\n\n### **What We’re Looking For**\n\n**Introductions to CPG retail brands with &gt;$50M of revenue.** We’ve got a product that’s ready to go. Keen to meet as many CPG brands as possible between now and demo day!\n\n### **Get In Touch**\n\nContact us: [founders@corvera.ai](mailto:founders@corvera.ai)\n\nBood a demo: <https://www.corvera.ai/schedule-demo>",
        "url": "https://www.ycombinator.com/launches/PES-corvera-ai-agents-for-cpg-brands",
        "votes": 17,
        "created_at": "2026-01-21T02:00:02.532Z"
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    "id": 31086,
    "name": "Prescience, Inc.",
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    "long_description": "Prescience is the preeminent health benefits platform for the world's most ambitious companies. We save employers 20-50% on health insurance while offering best-in-industry health benefits: www.getprescience.com\r\n\r\nAbout us:\r\nPrescience is building a new healthcare system for America. We train AI systems to: create, operate, insure, and deliver healthcare for employer health plans. Prescience Time Machine – an AlphaGo-like system – steers patients towards “Move 37 health trajectories” that deliver dramatic cost savings for employers. Rishab Jain and Aditya Jain, M.D. are serial entrepreneurs and brothers from Harvard & Harvard Medical School with backgrounds in machine learning and medicine. We believe abundant intelligence will bring an opportunity to fundamentally rebuild the $4.5T healthcare industry around proactive (prescient) health and wellness.",
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        "full_name": "Rishab Jain",
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        "founder_bio": "Building a prescient healthcare system. Prev. CS/Neuro @ Harvard College",
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        "full_name": "Aditya Jain",
        "title": "Founder/President & COO",
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        "title": "ML Research Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/YcWt3KT-ml-research-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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          "Machine Learning",
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      {
        "id": 107167,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/O7WXOyJ-founding-engineer",
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        "id": 107168,
        "title": "Founding Operations / Head of Operations",
        "url": "https://www.ycombinator.com/companies/prescience-inc/jobs/zS3Q0ob-founding-operations-head-of-operations",
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        "location": "San Francisco, CA, US",
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        "id": 106632,
        "title": "Prescience: Superintelligence for the American health system",
        "tagline": "A new health insurance that saves employers money and keeps employees healthy.",
        "body": "Hey YC, we're [Rishab Jain](https://www.linkedin.com/in/rishab-jain-k/) and [Aditya Jain, MD](https://www.linkedin.com/in/adityajain2000/). \n\nToday, we’re announcing Prescience 🔮: health insurance for the age of abundant intelligence. Prescience is taking on United, Blue Cross, and every other incumbent to build the first health insurance company that doesn’t suck.\n\n**TL;DR -** Prescience is a health insurance solution built for a world with AGI. We help cut premiums by 20%, offer $0 deductibles, include GLP-1s and other modern medicines, and have no hidden fees: we’re only paid when we save you money. We’re already helping some of America’s most ambitious companies save money, provide better benefits, and keep employees healthy so they can focus on their business. [www.getprescience.com](http://www.getprescience.com)\n\n[youtube.com/watch?v=PBqyj9zP4BY&amp;feature=youtu.be](http://youtube.com/watch?v=PBqyj9zP4BY&feature=youtu.be)\n\n**The Problem**\n\nHealthcare is a $6 trillion industry in America. For most companies it's the second-highest line item on their P&amp;L, with costs rising about 15% every single year.\n\nEmployers keep paying more and getting less. Deductibles climb and the best benefits get cut. Even employees with \"good\" insurance still end up with denied claims, surprise bills, and debt.\n\nNothing changes because the entire industry is built to take a cut of your premium. When care gets more expensive, all of the middlemen make more money. They couldn’t care less if your people get more healthy.\n\n**Our Solution**\n\nPrescience is an AI-native health insurance that flips the incentive. Get a quote without speaking to middlemen, and get better health benefits at lower cost. That adds up to roughly **20% lower premiums**, and **better-than-platinum health benefits** like $0 deductibles, no middlemen, no fees. For YC companies, we have a Deal running with Free Wearables and GLP-1s covered.\n\nHere's how we deliver. **Time Machine** is our reinforcement learning system trained on medical histories. The same way AlphaGo found \"Move 37,\" a move no human would have played that turned out to be brilliant, Time Machine searches millions of possible health trajectories for each member and finds the non-obvious path that keeps them healthiest. Then it steers care toward that path: the right screening at the right moment, the right behavior, before a small issue ever becomes a hospital bill. We’re running a separate waitlist for YC companies who want to try Time Machine for personal use: <http://getprescience.com/time-machine-waitlist>\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/9ec81a8e-0484-4a24-873c-9aafa87d8124)\n\nTime Machine is paired with **Crystal**: our care navigation assistant in your pocket. As an MD, I’ve seen how patients struggle to manage the labyrinth of healthcare. Hours of phone calls and wait times. Pouring through confusion insurance documents. No more - Crystal can book visits for you, answer questions about your health, and pay your bills.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/6d96fb46-38d8-4b14-934d-c070c77b13b4)\n\nInstead of today’s health insurance experience that forces employers to talk to brokers for weeks just to get covered, employers on Prescience get a quote in days and a plan that automatically tracks savings and does filings. We don’t just sit around and collect money from premiums, but actually try to make your employees healthy.\n\n![uploaded image](/media/?type=post&id=106632&key=user_uploads/3202469/869b2f99-6114-43c4-b8a3-4630545de430)\n\nWe are a real, full-stack solution. We’ve built out and partnered to deliver quotes, banking, HSA, MSO-PC, legal, compliance, network, risk, and any other solutions, We have a national team of top doctors who we negotiate with directly - no middlemen - and who we are able to offer fast payment, clear patient histories, and no admin paperwork. They in turn offer us heavy discounts we pass on to employers.\n\n**The Team**\n\nRishab and Aditya are brothers and serial entrepreneurs. Rishab (CEO) studied CS &amp; Neuro at Harvard, is an RSI alumni, won the International Science and Engineering Fair, and previously founded and exited an edtech company. Aditya (President/COO) earned his MD from Harvard Medical School, has been doing ML research since 2014, and is an Op-Med Fellow at Doximity.\n\nPrescience aims to rebuild the entire $6T American healthcare industry into one that is proactive and prescient, not reactive. Our vision is to be both payer and provider, as our proprietary AI and data becomes ready to take on all of medicine.\n\nReach us anytime at [founders@getprescience.com](mailto:founders@getprescience.com).\n\n**Our Ask**\n\n1. **If you’re a founder, get your quote:** at [getprescience.com](http://getprescience.com) and **use our YC deal on Bookface**! Free GLP-1 weight loss program, genetic testing, and white-glove support.\n2. **Intro us to enterprise:** Founders, Chief People Officers, Benefits Managers, Chief Medical Officers, CFOs, HRIS Platforms, or Brokers, especially at companies reviewing 2027 benefits!",
        "url": "https://www.ycombinator.com/launches/Rjs-prescience-superintelligence-for-the-american-health-system",
        "votes": 61,
        "created_at": "2026-07-21T14:07:46.343Z"
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        "full_name": "David Roberts",
        "title": "Founder/CEO",
        "founder_bio": "Chemistry postdoc and Damon Runyon Cancer Research Fellow in Prof. Carolyn Bertozzi's lab (2022 Nobel Prize in Chemistry) at Stanford University. Next-generation scientific leader in chemical biology and glycobiology with 1600+ citations & h-index 23. Received my B.S. double major in chemistry & mathematics at UC San Diego (2016) and Ph.D. in materials chemistry & analytical chemistry at the University of Wisconsin-Madison (2023). ",
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        "linkedin_url": "https://www.linkedin.com/in/davidstephenroberts/",
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      {
        "user_id": 3196415,
        "full_name": "Andrew Reiter",
        "title": "Founder/COO",
        "founder_bio": "Previously received my B.S. in Biology from UNC-Chapel Hill. I then joined Dr. Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where I developed new methods in mass spectrometry. I later became a Ph.D. student and NSF-GRFP fellow in the Department of Biology at Stanford University, where I was co-advised by Dr. Carolyn Bertozzi (2022 Nobel Laureate in Chemistry) and Dr. Or Gozani.",
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      {
        "user_id": 2801937,
        "full_name": "Vishnu Tejus",
        "title": "Founder/CTO",
        "founder_bio": "I am a 2x YC Founder. Previously, I built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Then, I forward deployed myself in research labs at the University of Washington, UCSF, and Stanford, where I was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, I published 2 papers and won 4 national awards. Now, I'm building ultrafast AI models for drug discovery teams to characterize proteins and pharmaceutical candidates.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/10x-science/jobs/FK8wuOk-founding-engineer",
        "location": "San Francisco, CA, US / Menlo Park, CA, US",
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        "salary_range": "$150K - $240K",
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        "title": "AI is spitting out more potential drugs than ever. This startup wants to figure out which ones matter. | TechCrunch",
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        "date": "Apr 22, 2026"
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        "id": 97760,
        "title": "10x Science: Unlocking the future of drug development 🔑🧬",
        "tagline": "The AI-native platform for next-generation protein characterization",
        "body": "Hi Everyone 👋:\n\nWe're [**David**](http://www.linkedin.com/in/davidstephenroberts), [**Andrew**](https://www.linkedin.com/in/andrew-hawthorn-reiter/), and [**Vishnu**](https://www.linkedin.com/in/vishnutejus/), co-founders of [**10x Science**](https://10xscience.com/). We’re a team of researchers from Stanford on a mission to make drug development 10x faster.\n\n**TL;DR:** We are building _the_ AI-native solution to unlock fast, accurate, and scalable therapeutics characterization to accelerate drug development.\n\n[10x Science Launch Video](https://www.youtube.com/watch?v=WaQSdNSc1KM)\n\n❌ **The** **Problem**\n\nProtein-based drugs now make up a majority of new therapies and advances in AI are flooding the drug discovery pipeline with more candidates than ever. But **the bottleneck isn't candidate design, it’s candidate characterization to identify the best drug for clinical trials**. \n\nEvery antibody, every cell therapy, every engineered protein requires characterization at a level of molecular detail that existing tools simply weren't designed to handle. Today, that process is: \n\n* **Slow**: Weeks to months per candidate spent on time-consuming data analysis and report generation that limit how fast new therapies can reach patients \n* **Expensive**: On average, it costs $1M+ for each day of delay in a clinical trial. Every day a biologic is delayed from entering the market is a missed opportunity to generate revenue and to save lives\n* **Not scalable**: Labs are throwing thousands of therapeutics through the discovery pipeline, but processing the data requires individuals to perform expert analysis leading to reproducibility challenges and a specialized, manual bottleneck\n\nThe result: candidates pile up, timelines slip, and the promise of AI-powered discovery gets stuck. \n\n💡**Our Solution**\n\n**10x Science** is the unlock **🔑**\n\nWhat if you could go from raw data to output-ready characterization reports in minutes? That’s what we’re building: **AI-native infrastructure for protein characterization**:\n\n* **Reduce analysis time from weeks to minutes**: our platform automates the data crunching that currently bottlenecks development → yielding $150,000+ time savings per team / month\n* **Get reproducible, enterprise-ready results** without requiring extensive expertise and slow manual curation. This frees scientists to focus on the important stuff: discovery, not number crunching\n* **Scale your pipeline**: process more candidates exponentially without linearly scaling your team\n\nNow, therapeutics development can keep pace with AI-powered drug discovery.\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/9b62279d-80f7-4f58-a80c-86665a72b6d7)\n\n**📜 Backstory**\n\nWe've lived this problem.\n\nAs Stanford researchers building frontier tools at the intersection of chemistry, biology, and machine learning, we constantly hit the protein characterization throughput wall. We and every other scientist we’ve spoken with all feel the same pain: protein characterization is slow, manual, and just hard to do at scale. Today’s scientists are drowning in data. A single sample can generate gigabytes of data, yet extracting insights from it is painstakingly slow without the right tools.\n\nIf we don’t modernize protein analysis, then drug development grinds to a halt. **This is why we started 10x Science**.\n\n🔬 **Our Team**\n\nWe are the only team in the world with deep expertise in proteomics, mass spectrometry, chemical biology, and artificial intelligence to tackle this problem. We’re researchers from Stanford with 18+ years of hands-on experience characterizing biologics and building new technologies and methodologies at the cutting edge. \n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/a384189a-2f27-4969-8d8f-156305c9ce8d)\n\nDavid (CEO, middle): Damon Runyon Cancer Research Foundation Fellow; Stanford Postdoc from Carolyn Bertozzi’s Lab (2022 Nobel Prize in Chemistry); early career leader in field of mass spectrometry-based proteomics with 37+ peer-reviewed publications\n\nAndrew (COO, right): Trained in Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where he developed new methods in mass spectrometry. Later became a Ph.D. student and NSF-GRFP fellow at Stanford University, where he was co-advised by Dr. Carolyn Bertozzi and Dr. Or Gozani.\n\nVishnu (CTO, left): 2x YC founder. Built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Forward deployed himself in research labs at the University of Washington, UCSF, and Stanford, where he was mentored by world-renowned scientists in analytical chemistry and cancer research. In &lt; 1 year, he published 2 papers and won 4 national awards. \n\n**We are uniquely positioned** with the technical expertise and insights required to solve this major challenge.\n\n 🌐 **The Big Picture**\n\nWe are automating the whole data analysis pipeline to enable scientists to focus on discovery: this is the \"why\" rather than the \"how\" of data processing. Every major therapeutic breakthrough of the last decade has depended on understanding proteins at the molecular level. And yet, the tools we use to analyze them haven't fundamentally changed in over twenty years. 10x Science is taking a totally new approach to usher in an AI-forward paradigm in protein characterization and drug development. \n\n 🙏 **Our Ask**\n\nWe're onboarding customers. If you answer \"yes\" to any of these, we'd love to chat:\n\n**Know a pharma/biotech team** working on biologics characterization?\n\n**Know an academic lab or core facility** doing protein analysis?\n\n**Know a contract research organization (CRO)** looking to scale analytical capabilities?\n\n**Resonate with our mission?** → Share this post!\n\n —_David_, _Andrew_, _Vishnu_ ([**10x Science**](https://10xscience.com/))\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/4a578736-2de7-43de-b605-0152e507bf2b)\n\n",
        "url": "https://www.ycombinator.com/launches/PQm-10x-science-unlocking-the-future-of-drug-development",
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        "created_at": "2026-02-12T17:47:40.380Z"
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    "long_description": "Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that.\r\n\r\nWe’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. ",
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        "id": 97574,
        "title": "Salus - Runtime guardrails that validate AI agent actions before they execute",
        "tagline": "Salus checks your agent's actions, blocking incorrect ones and providing feedback to guide retries",
        "body": "### **TL;DR:**\n\n**Salus is an API that wraps around your agent and checks its actions at runtime, blocking incorrect ones and providing immediate feedback to guide retries.**\n\nWe’re Kevin and Vedant, former roommates at Stanford who studied CS, now building Salus full-time.\n\n### 😔**The problem:** \n\nYour agent processed a refund without looking up the order, costing you thousands. It emailed your top lead using hallucinated data, ruining the deal. You only found out three hours later from a support ticket or an angry email.\n\nEvals, output scoring, and observability are all necessary—but all reactive. They can reduce the likelihood of these problems occurring, but there's no solution that inspects an action as it’s about to execute. Salus does that.\n\n**Ask:** If you are deploying agents and want to improve their correctness we’d love to help. Book a demo [here](https://calendly.com/d/cycy-fbc-fyj/salus-demo), and we can onboard you immediately with just a pip install and a few lines of code.\n\n### 💻 **Our Solution:** \n\n<https://youtu.be/uyl5NJTY5Cg>\n\n**How Salus validates an action:**\n\n1. Actions must be **grounded in evidence**: Salus maintains an evidence cache for each run that every proposed action is validated against. Evidence includes all outputs from prior tool calls and the entire conversation history.\n2. It must **adhere to policy**: Write constraints in YAML, markdown, or plain English. Salus compiles them into runtime checks that are version-controlled, diffable, and shadow-testable\n3. And **more**: PII detection, budget/loop protection, idempotency, human-in-the-loop escalation, content moderation\n\n**Self-repairing:** When Salus blocks an action, the agent receives structured feedback to guide a retry. In our benchmarks, **58%** of blocked actions recover and complete the task correctly.\n\n### 📊 **Benchmarks:** \n\nWe tested Salus on τ²-bench and ODCV-Bench. On τ²-bench, agents with Salus follow policies more reliably, at up to **60% lower cost**. On ODCV-Bench, Salus **reduced misalignment by 52%** on average across 12 frontier models (see below).\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/e48b27f6-2e13-4d40-a9a4-13135ff981bc)\n\n### ➕ **Other Features:** \n\nWhile we believe the missing piece is runtime validation, we know **evals and observability** are crucial. That’s why we incorporate all three in **one centralized product**. Using templates and LLMs, we generate thousands of both adversarial and realistic evals that have full context of your agent’s domain.\n\nContact us: [founders@usesalus.ai](https://founders@usesalus.ai)\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/cc3d0be7-941f-46ef-be8f-1294b9148073)\n\n",
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    "one_liner": "We help private equity teams find acquisition targets faster",
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        "body": "**_TL;DR_ [Superset](https://superset.sh/)** is a terminal-first IDE with built-in agents management, PR review, and remote workspaces; built for running coding agents in parallel.\n\nSuperset is a daily driver for great teams including YC companies, engineers at Wix, DoorDash, Netflix, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\\\n\\\nCheck out our fun video interviewing some of our users 👇\n\n<https://www.youtube.com/watch?v=r_d_eYBV8cI>\\\n\\\nWe're Avi, Kiet and Satya\\\n\\\nThe future workspace for software development looks less like a text editor based IDE and more like a tool to help devs manage multiple Claude Code or Codex sessions, setup automations and workflows for coding agents, aggregate context from tickets, logs, etc, and efficiently review changes.\\\n\\\nSince launching just 5 months ago:\n\n* **11K+ Github stars** and **75+ contributors,**\n* Used as the daily driver in great teams including YC companies, engineers at OpenAI, Google, Vercel, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\n* A thriving community with **5K+ followers on X**, **1K+ members on Discord.**\n* Got **#1 on Product hunt** and **top 4 on HN twice**\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/5bfff019-f7dd-4262-b872-67641385eb17)\n\nX has been very supportive:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/42ce6b2b-21fd-4d1b-9bcb-a00fecd85d52)\n\n\\\nCTO of Mastra:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/3e7afc9f-1023-4d20-a701-324ecbc44273)\n\nVercel about Superset:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/66749d1b-feea-4eb0-a2ba-3afb1a84e76a)\n\nPrinciple Engineer at Cloudflare\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/12c60756-7b29-45e8-96d4-72d9563979bb)\n\nCTO of Browser Use:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/54080db5-f070-4d19-bf19-f9782075b1b0)\n\n\\\n**Superset Product Tour**\\\n<https://www.youtube.com/watch?v=YWDHn7gUwfg>\\\n**\\\nPlease try us and give us your feedback:**\n\nStar the repo: <https://github.com/superset-sh/superset>\\\nsend us your feedback: [hello@superset.sh](mailto:hello@superset.sh)\n\nTry superset: <https://superset.sh/>",
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        "title": "o11: The AI Agent Inside of Every Enterprise App",
        "tagline": "We embed agents into every legacy application to automate them",
        "body": "Hey YC - We’re [Aryah Oztanir](https://www.linkedin.com/in/aryah-oztanir/) and [Ajay Misra](https://www.linkedin.com/in/ajay-misra/), the co-founders of [o11.ai](http://o11.ai).\n\n\\\nTL;DR - AI in legacy tools (e.g. Copilot, Gemini in Workspace, etc…) sucks. We built o11 to make automation directly inside legacy tools easy.\n\n# See us in action (demo vid):\n\n<https://www.youtube.com/watch?v=0nlcwZ6bw_c>\n\n# The Problem:\n\n62% of all companies still rely on legacy software and systems. Many of these systems are manual, outdated, and inefficient. In the age of AI, the legacy giants that create this software aim to “duct tape” AI onto their tools – but what they end up with is a **mangled mess that can’t actually do anything useful (Microsoft Copilot, Google Gemini, the generic useless “AI” sidebar in every application).** Enterprises and consumers need a way to automate work directly inside of the tools they are familiar with – \\*\\*their solution is o11.\\*\\*\\\n\\\nStarting with **the entire Google & Microsoft Suite,** we’ve enabled hundreds of companies to automate presentation / spreadsheet / document generation directly within their workflow. Teams that use us no longer need to move from app to app or deal with agents that merely “provide insights.” Now they can actually do things in these tools, and do them **fast.**\n\n# Start today:\n\nTry o11 for Free in Google Workspace and Microsoft 365 at <https://o11.ai>. Book a demo at <https://o11.ai/book-demo>\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a4f8871-f9de-4f49-9758-39a582173ea4)\n\n# \n\n# How did we come up with this?\n\nBefore we dropped out of UNC we were surrounded by finance students who all faced similar problems at their internships over the summer: Legacy software, no AI, and tons of grunt work. Most existing finance solutions thought the best way to provide workflow value was to build an external dashboard. But after speaking to hundreds of finance professionals we realized that teams don’t want an external solution, they require something that is directly within their workflow. So, we started by building a Microsoft PowerPoint plugin. Soon, financial teams started asking us for more, and we then introduced o11 For Excel and o11 For Word. But, why confine ourselves to Microsoft only? Teams that we worked with and spoke to all wanted integrations with the full G Workspace suite, and soon we built it for them in Google Slides, Docs, and Sheets. **We’re not stopping there though – while these productivity suites are a large part of our user’s workflows, their workflows aren’t just confined to these tools.**\n\n# Where does this go?\n\nOur users use thousands of enterprise legacy apps that need automation, not duct-taped AI. That’s why, the product we’re soon going to release will enable you to use o11 in any app — **it’s going to enable you** **to automate directly inside any workflow.**\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/8296e217-4385-4f12-a50d-cebffe7b974d)\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a8ae383-97a2-41e9-8f95-66e9368a4230)\n\n",
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        "full_name": "Mitch Radhuber",
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        "full_name": "Shipra Jha",
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        "title": "Corelayer: AI on-call engineer for regulated industries",
        "tagline": "Detect and fix production issues 15x faster",
        "body": "Hey everyone! 👋\n\nWe’re [Mitch](https://www.linkedin.com/in/mitchellradhuber/) and [Shipra](https://www.linkedin.com/in/shipra-jha-9b021859/) - before Corelayer, we built data infrastructure at Goldman Sachs where we spent many late nights and weekends debugging systems that processed 100s of billions of rows a day.\n\n**TL;DR**\n\nWhen you’re on call in data-heavy, regulated industries like fintech, healthcare, or insurance, you need to inspect underlying data to debug production issues. We built a platform that monitors both infrastructure and data for anomalies and uses AI agents to debug and suggest fixes in minutes.\n\n[Corelayer Launch Video](https://youtu.be/yFZKJ9QRrr4)\n\n**On-call support is painful and expensive**\n\nAll engineers hate being on call. Production issues kill velocity, erode user trust, and become more and more costly as companies scale.\n\nFortune 100s spend **$100M+/year** on first-line-of-defense production support.\n\nSmaller companies can’t afford to burn **scarce engineering resources** on time-consuming support and maintenance.\n\n**The (sensitive) data problem**\n\nIf you’re a backend engineer at a fintech, you probably own a service that queries data, applies some business logic, and stores the result somewhere (i.e., a data pipeline).\n\nWhen this service is running in production, you’ll see two failure modes:\n\n1. Exceptions in logs and/or failing jobs\n2. Bad data produced by your service\n\n“Bad data” can mean anything from incorrect values to entirely missing or duplicated rows.\n\n**This is really common** in certain products and industries, but you’re totally blind to these errors without monitoring data for anomalies and querying data while debugging.\n\nIn regulated environments where this problem is prevalent, **production data is sensitive**, which is another constraint we have to solve for.\n\n**Corelayer solves this**\n\nWe continuously monitor logs, metrics, **and data** for anomalies and use AI agents to debug, root-cause, and suggest fixes for issues.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/fce0b569-7a89-41f5-8225-625e86092a04)\n\nWe also filter out false positives and group related issues to reduce alert noise.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/6b91dd40-c7c7-4ca9-97a4-f80eaaff537d)\n\nEvery team is different. We take feedback from human engineers so our agents learn your systems and improve over time.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/f5384b34-039b-40f5-ba00-4c1ede356893)\n\nData is especially sensitive in regulated industries. We’re SOC 2 compliant, offer **BYOC and** **on-prem deployments**, flexible LLM inference options, and expose an audit trail of each step performed by the agent with citations.\n\n**Our Asks**\n\nDoes your team deal with data or integrations and spend more time on production support than you’d like? [Let’s chat](https://cal.com/mitchrad/30min). \n\nCan you connect us with an engineering leader at a finserv, fintech, healthcare, or insurance company? Reach out at [founders@corelayer.com](mailto:founders@corelayer.com).\n\nThank you!\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/18ce5a17-9fb2-42d6-8a39-0314da2f5f5d)\n\n",
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    "long_description": "Dream makes AI cameras that catch damage teams miss. Car dealerships, equipment rental companies, fleets, and more move expensive assets in and out all day, and undocumented damage is a costly leak.\r\n\r\nDream cameras are simple to set up and work automatically. Each vehicle or machine that passes is photographed from every angle, identified, and reconstructed into a complete condition record. On return or intake, Dream instantly flags new dents, scrapes, and changes your team might miss, giving one source of truth for every asset's condition over time.\r\n\r\nRyland worked at X/xAI and built aerial damage-detection vision at Vexcel Imaging. Alexander worked at AWS and trained edge-camera models deployed in the wild across Africa and India to detect poachers.",
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        "full_name": "Ryland Birchmeier",
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        "title": "Dream - Pocket-sized AI cameras that catch asset damage",
        "tagline": "Dream makes pocket-sized, battery-powered AI cameras that catch damage teams miss.",
        "body": "Hey everyone 👋, we are Ryland and Alexander, co-founders of Dream.\n\n**TL;DR: Dream automatically photographs every vehicle or machine that passes through your gate, builds a 3D condition record, and uses AI to catch new damage the moment an asset passes through.**\n\n**Launch Video: [https://youtu.be/uMP12lCb12E](https://youtu.be/uMP12lCb12E)**\n\n**The problem**\n\nDamage is an expensive leak for anyone who moves large, expensive assets in and out all day. It shows up two different ways:\n\n**Car dealership service departments**\n\n* As a car pulls into the service entrance, damage that could be identified and fixed goes unnoticed, which is lost revenue.\n* Without a record of the car's condition on arrival, disputes come down to the customer's word against the dealership's, and the dealership gets blamed for pre-existing damage.\n\n**High-value asset rentals (heavy equipment, trucks, boats, planes, trailers)**\n\n* Teams are inconsistent about photographing assets as they go out and come back, so new damage gets missed before the customer is billed.\n* When damage is missed, there's no evidence to charge the customer, so the company eats the repair cost out of pocket.\n\n**What Dream does**\n\nDream cameras sit at your gate, lane, or service drive and turn every pass into evidence, automatically:\n\n* **Continuous capture:** every vehicle or machine that moves through is photographed from every angle. No one has to remember to do it.\n* **Asset identification:** Dream knows exactly what you need to look at.\n* **3D reconstruction:** every pass becomes a complete 3D condition record for that asset.\n* **AI damage detection:** on return or intake, Dream compares against the last record and flags new dents, scrapes, and visible changes right away.\n\nThe result is one clear source of truth for every asset's condition over time: rental companies catch damage before they bill so they stop eating repair costs, and dealership service departments find more fixable damage and resolve customer disputes with evidence.\n\nWorks across cars, vans, trucks, heavy equipment, and more.\n\n**Why us**\n\nWe have spent years training models for aerial imaging and edge computer vision devices. Ryland has worked on the exact problem of detecting damage to assets from aerial imaging, such as degraded paint. Alexander has trained models that run on edge cameras deployed in the wild in Africa and India to detect poachers.\n\n**Our ask**\n\nWe're onboarding partners now. **We'd love intros to:**\n\n* **Car dealerships**\n* **High-value asset rental companies** (heavy equipment, trucks, boats, planes, trailers)\n\nIf you run one of these, or know someone who does, please message us on LinkedIn!",
        "url": "https://www.ycombinator.com/launches/Sjp-dream-pocket-sized-ai-cameras-that-catch-asset-damage",
        "votes": 7,
        "created_at": "2026-08-14T17:00:00.348Z"
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    "name": "Veriad",
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    "website": "https://veriad.com",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Veriad is building marketing agents for enterprises to run advertising campaigns end-to-end in-house.",
    "one_liner": "AI operating system for advertising",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1767420715,
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    "batch": "Winter 2026",
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    "stage": "Early",
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      "name": "Jon Xu",
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        "full_name": "Rohan Mahendraker",
        "title": "Founder/CEO",
        "founder_bio": "Rohan is the co-founder and CEO of Veriad. He is a self-taught software engineer and has built and sold compliance software to Fortune 500s. Before Veriad, Rohan was a founding engineer at CoLoop (YC S21), where he built their eval suite and AI agent. ",
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        "linkedin_url": "https://www.linkedin.com/in/rohanmahen/",
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        "full_name": "Anton Muratov",
        "title": "Founder",
        "founder_bio": "Anton is the co-founder and Chief Commercial Officer of Veriad. He previously closed 7-figure deals with the largest bank in the US, the largest fashion group in the world, and advised Fortune 500s on regulatory policy. Before Veriad he advised YC startups and 9-figure scale-ups on GTM. In a previous life he was a competitive long-distance runner.",
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        "title": "Veriad: AI compliance officers",
        "tagline": "Automating marketing compliance so brands don't get cancelled or sued",
        "body": "Hi all, we’re Anton and Rohan, founders of Veriad.\n\n**TL;DR**\n\nMarketing teams are being held back by manual content reviews. Veriad automatically checks whether content is compliant with brand and legal guidelines so they can publish 10x faster.\n\n**Want to see Veriad in action? Book a demo here:**\n\n<https://cal.com/team/veriad/veriad-introduction>\n\n**Our Launch Video:**\n\n<https://youtu.be/rsdj3FqUE9U>\n\n**Why This Matters**\n\nCompanies spend $1T on ads every year. $100B is wasted on ineffective ads due to non-compliance with brand guidelines, regulations, and platform best practices. So millions of lawyers, marketers, and compliance officers manually review every piece of content.\n\nThis process is slow, expensive, and about to break - AI tools are letting teams create 100x more content and human reviewers won’t be able to keep up.\n\n**Our solution**\n\nVeriad automates the entire process at scale. Our agent ingests brand policies, industry guidelines, and precedents, then analyzes every piece of content automatically - providing instant feedback to marketers. Veriad integrates directly into your marketing stack, to ensure that brand equity is protected across all surface areas.\n\n**Team**\n\n![uploaded image](/media/?type=post&id=97377&key=user_uploads/891759/79a75d50-6908-41d1-9369-1d2086d23ab5)\n\nWe met working at CoLoop (YC S21) where Rohan joined as employee #7 as a founding engineer and built out the agentic product line, and Anton advised the founders on GTM and Growth, having previously closed 7-figure deals with Fortune 10-500 companies.\n\n**Get in touch**\n\nIf you know/work at a consumer-facing company that fits **any of these** criteria, we’d love to chat:\n\n* Ad spend of $50M or more annually\n* Operates in an industry where advertising is regulated\n* Reviews thousands of marketing assets annually\n* Has a content review team / process\n* Faces bottlenecks in their ad approval workflows, with long waiting times\n\nPlease get in touch with us at [anton@veriad.ai](mailto:anton@veriad.ai) / [rohan@veriad.ai](mailto:rohan@veriad.ai)  or check out our website [veriad.ai](http://veriad.ai) to learn more and book a demo!",
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        "votes": 8,
        "created_at": "2026-02-01T21:24:29.420Z"
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    "name": "Poth Labs",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Poth is an agentic research platform that connects to your company data, creates hypotheses about what might be causing problems, and validates them using both existing data and adaptive user feedback.",
    "one_liner": "The customer brain that connects data to explain customer behavior",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782326273,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/poth-labs",
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    "country": "US",
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    "primary_partner": {
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        "full_name": "Mojmir Horvath",
        "title": "Founder",
        "founder_bio": "Cofounder & CTO of Poth Labs. Ex-Tietoevry and Phillips Academy",
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        "linkedin_url": "https://www.linkedin.com/in/mojmir-horvath/",
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        "title": "Ask Poth—ask anything about your customers",
        "tagline": "The internal voice of the customer",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: Your customer data is fragmented across Pylon, Granola, Posthog, Hubspot, Slack, and Notion. Poth connects that information into a living model of your customers, mapping analytics from Posthog and transcripts from Granola to the same customer, so you can finally answer the questions that live across multiple tools: churn, adoption or what to build next, with cited evidence. pothlabs.com**\n\n<https://youtu.be/k9gsdaxXdtM>\n\n**The problem:**\n\nCompanies have customer information scattered across support tickets, sales calls, CRM notes, surveys, interviews, product analytics and more. \n\nBut answering a new question about customers still usually means manually searching across those systems or beginning another research project.\n\n**The (soft) pivot:**\n\nWe originally built Poth to generate hypotheses and launch adaptive interviews and surveys to test them. To determine what questions to ask and which customers to ask, Poth first had to understand all of the customer information a company already had.\n\nUnder the hood, we built a customer knowledge graph: Poth identifies the important objects in a company’s data: customers, accounts, users, products, features, conversations, behaviors, and feedback, and connects them through their relationships.\n\nAs we integrated with more teams, we noticed that several were using this underlying model as much as, or more than, the survey functionality itself. They wanted to ask questions across everything their customers had already said and done so we made that a core part of the product!\n\n**Customer knowledge graph example:**\n\nFor a company like Slack, Poth might model five objects:\n\n* **Account**  (a company paying for Slack)\n* **User**\n* **Workspace**\n* **Feature** (Slack Connect, Huddles, Canvas, or workflows)\n* **Customer signal** (A support ticket, call transcript, survey response, or product event)\n\nIt then connects them through relationships such as:\n\nUser —BELONGS_TO→ Account Account —OWNS→ Workspace User —USED→ Feature Customer Signal —CREATED_BY→ User Customer Signal —REFERENCES→ Feature\n\nSlack could then ask:\n\n“Why are enterprise accounts trying Slack Connect but not adopting it broadly?”\n\nAnd Poth could connect low Slack Connect usage in PostHog, permission-related support tickets in Pylon, security concerns mentioned in Granola transcripts, and renewal context from HubSpot, all through the same accounts, users, workspaces, and features.\n\nInstead of returning a generic summary, Poth can show the supporting and contradicting evidence, cite the underlying sources, and explain what information is still missing.\n\nIn practice, the model contains many more objects and relationships based on each company’s business and data.\n\n**Ask Poth:**\n\nConnect your customer data sources and internal documentation. Poth automatically builds the living model, and your team can ask questions naturally across everything customers have said and done.\n\nWhen the existing evidence is not enough, you can also use Poth to launch adaptive interviews and surveys to collect what is missing.\n\nSome use cases we’ve seen:\n\n* **Discovery:** “Across our discovery calls, what do users want most that we haven’t built?”\n* **Adoption and growth:** What is preventing activated customers from adopting more of the product and expanding?”\n* **Churn and risk:** “Identify the top three reasons customers have churned, then flag the five active accounts showing similar warning signs.”\n* **Win-loss analysis:** “What are the most common reasons we lose enterprise deals, and which product gaps are actually affecting revenue?”\n* **Account intelligence:** “Give me everything relevant to this account before my next customer call.”\n\n**Our ask:**\n\nWe’re already working with several teams in the YC batch, and we’re looking for more companies whose customer context is spread across several systems.\n\nI’d especially appreciate introductions to:\n\n* Founders and product leaders at growing startups with significant customer data across three or more tools\n* Heads of Customer Insights, Voice of the Customer, Customer Experience, User Research, or Customer Success at larger companies\n\nAnd if your team has important customer questions it still cannot answer confidently, email me at [matthew@pothlabs.com](mailto:matthew@pothlabs.com)! We’ll work closely with early teams to connect their core systems and get them live.\n\npothlabs.com",
        "url": "https://www.ycombinator.com/launches/RpS-ask-poth-ask-anything-about-your-customers",
        "votes": 7,
        "created_at": "2026-07-22T20:02:23.718Z"
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        "id": 103949,
        "title": "Poth Labs - The AI Native Customer Research Platform",
        "tagline": "Understand why users behave the way they do—hypotheses from your data, validated through interviews.",
        "body": "**TL;DR:** Poth helps you understand _why_ your users behave the way they do. It uses your company's data and context to generate hypotheses, then validates them through adaptive user interviews until it uncovers the root cause.\n\n**What we do:** Poth is an AI-native customer research platform\n\nAnalytics tools show behavior. Traditional research tools ask users static, predetermined questions. Poth connects the two—starting from your own data.\n\nIt takes a company's existing data and context to generate hypotheses, validates them through adaptive interviews, and continuously updates its questioning based on each user's responses—helping teams uncover the reasons behind churn, failed activation, checkout abandonment, or any user behavior.\n\n<https://www.youtube.com/watch?v=YHgz41ItGhI>\n\n**Who we are:** Before Poth, I (Matthew) was an FDE at Palantir, where I worked closely with enterprise customers to help them make better use of their data. My co-founder Mojmir was a data scientist at Tietoevry, where he did the same.\n\nNow we're building Poth to help every company understand why users behave the way they do.\n\n**Our ask:** If you work in product, growth, customer research, or analytics, we'd love to chat — reach out and connect. Try it at [pothlabs.com](http://pothlabs.com).",
        "url": "https://www.ycombinator.com/launches/R2b-poth-labs-the-ai-native-customer-research-platform",
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    "name": "TensorTest",
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    "long_description": "TensorTest (formerly Ritivel) builds evaluations, reinforcement-learning environments, and expert training data for AI labs developing creative agents, starting with video editing.\r\n\r\nAn agent can produce a valid video file without delivering an edit that meets the client’s brief. Labs need reliable ways to measure creative quality, identify failures, and give agents feedback they can learn from.\r\n\r\nOur first benchmark, TimelineBench, gives agents client video-editing jobs with raw footage, audio, and a brief. It evaluates the finished work using a verifier calibrated on thousands of blind judgments from professional editors. Across 16 agents we tested, the best passed only 26.8% of jobs. Most failures came down to creative craft rather than broken output.\r\n\r\nWe offer labs private evaluations to identify where their models fail, training environments that use our verifier’s scores as rewards, and expert-created training data, including professional editing demonstrations, preference pairs, and grading rubrics. These offerings connect evaluation to training: identify what an agent gets wrong, provide feedback on its attempts, and supply examples of better work.\r\n\r\nOur team comes from IIT Bombay and has trained language models and built agentic systems at Microsoft Research.",
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        "full_name": "Pavan Kalyan",
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        "full_name": "Nirmit Arora",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO @ Ritivel. Prev @ Microsoft Research focused on making agentic systems safe. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nirmitarora",
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        "full_name": "Gunin Gupta",
        "title": "Founder/COO",
        "founder_bio": "Cofounder and CBO @ Ritivel. \nPrev. @ AT Kearney focused on sustainability and energy process industries.\nGraduated with a bachelor's from IIT Bombay.",
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        "title": "Ritivel 💊 AI-native platform for Regulatory Document Submission",
        "tagline": "We help regulatory teams at pharma companies submit FDA documents 12x faster",
        "body": "Hey everyone 👋\n\nWe're Pavan (PK), Gunin and Nirmit – co-founders of Ritivel.\n\n## **TL;DR**\n\nRitivel is an AI-native workspace for regulatory and medical writing teams at life sciences companies. Our AI agents draft CTDs, CSRs, INDs, and BLAs in minutes instead of weeks, helping drugs reach patients faster.\n\n**Ask:** Can you introduce us to regulatory affairs leaders or CISOs at pharma companies? Contact us at [pavan@ritivel.com](mailto:pavan@ritivel.com)\n\n<https://youtu.be/VrqJtPDy_do>\n\n## **❌ The Problem**\n\nEvery month a drug is delayed from reaching the market costs pharma companies \\~$45M in lost revenue and more importantly, delays treatment for thousands of patients who need it.\n\nYet regulatory teams are stuck in a painful, months-long process to create FDA submissions like CTDs, CSRs, INDs, and BLAs:\n\n**1. Information overload** 📚 These submissions require synthesizing thousands of pages of clinical data, prior submissions, and regulatory guidance which is an overwhelming task even for experienced teams.\n\n**2. Document hunting & version chaos** 🔄 Teams waste hours digging through SharePoint folders, juggling multiple document versions, and chasing colleagues for the right files.\n\n**3. Endless follow-ups** 📧 Regulatory leads spend their days sending reminder emails, tracking down missing inputs, and managing status updates across teams.\n\n**4. Manual drafting bottlenecks** ⏳ Even with all the information gathered, the first draft alone takes weeks of painstaking work by highly specialized (and expensive) regulatory writers.\n\n---\n\n## **🔧 Our Solution**\n\nRitivel deploys AI agents that transform how regulatory teams work:\n\n**Draft the most common document types like CTDs, CSRs, INDs, and BLAs in minutes** ✍️ Our agents generate comprehensive first drafts directly in Microsoft Word, following FDA formatting requirements and pulling from your existing clinical data and prior submissions. Every data point includes citations linked back to the original source, so reviewers can verify with one click.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/4d8b39f8-8230-4dcd-b654-c51b595d124e)\n\n**Intelligent document retrieval** 🔗 Connected to SharePoint and Veeva, our agents automatically source the right documents from across your organization: no more digging through folders or chasing down files.\n\n**Automated follow-ups** 📧 Integrated with Outlook, our agents handle reminder emails and follow-ups automatically, so you're not stuck chasing colleagues for missing documents.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/aa5a53c8-8d14-4c11-a20c-fecd59724cae)\n\n**Accelerated project management** 🚀 By automating the document gathering and drafting loop, teams can focus on review and refinement rather than administrative overhead.\n\n\\\n**👬 The Team**\n\nWe're engineers who previously built AI copilots at Microsoft Research. We saw firsthand that we could create better, more specialized copilots for complex workflows.\n\nWe started by selling a generic copilot to process-heavy industries like life sciences to understand their regulatory workflows. After 50+ conversations with pharma professionals, we discovered the critical bottleneck in regulatory submissions and built Ritivel to solve it.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/3447cd20-7180-467d-919f-e6ddb5839d7a)\n\n## **🙏 Our Ask**\n\n* **Know someone in pharma regulatory affairs?** We'd love an intro to regulatory affairs leaders or CISOs at pharma companies → [founders@ritivel.com](mailto:founders@ritivel.com)\n* **Work at a life sciences company?** Try Ritivel and see the difference →[ ](https://www.ritivel.com/)[www.ritivel.com](http://www.ritivel.com)\n\n---\n\n_Your intro could help get life-saving drugs to patients faster. Thank you!_",
        "url": "https://www.ycombinator.com/launches/PJn-ritivel-ai-native-platform-for-regulatory-document-submission",
        "votes": 172,
        "created_at": "2026-01-30T17:40:28.395Z"
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    "id": 31295,
    "name": "Carrot Labs",
    "slug": "carrot-labs",
    "former_names": [
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    "website": "https://superpenguin.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The problem: \r\nAI has quietly become one of the largest and fastest-growing line items for companies. Spend is scattered across a dozen provider consoles that each show one number at the end of the month and nothing about why it moved. There's no unified view, and no way to trace a dollar back to the customer, feature, team, or even the pull request that caused it.\r\n\r\nWhich customers are unprofitable once you subtract their AI costs? Which feature is quietly burning your Anthropic budget? Is this week's spike a runaway loop or real growth? How much did that AI-written PR actually cost to ship?\r\nToday teams reverse-engineer answers by exporting CSVs from each provider and stitching them together in a spreadsheet, and by the time they do, the money is already spent.\r\n\r\nWhat SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, AWS Bedrock, Azure, Modal, Cursor, OpenRouter, and more).\r\n\r\n* Zero-code setup: connect an API key and costs sync automatically with model-level breakdowns, trends, and forecasts\r\n* Per-request attribution: add two lines with our Python or TypeScript SDK to tag every AI call by customer, feature, team, or environment (or any other metadata).\r\n* AI coding cost per PR: connect Cursor to see engineering spend attributed to each pull request, repo, and developer, so you know what it actually costs to ship.\r\n* Alerts on budget thresholds and spend anomalies, delivered to Slack, email, or Discord.\r\n\r\nMost teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.",
    "one_liner": "AI Cost Management: Track and attribute AI spend across every provider",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1772517831,
    "tags": [
      "AIOps",
      "FinOps",
      "B2B",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/carrot-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/carrot-labs.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carrot-labs-ai/",
    "x_url": "https://x.com/carrotlabs__ai",
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    "github_url": null,
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 3198622,
        "full_name": "Christopher Acker",
        "title": "Founder/CEO",
        "founder_bio": "Carrot Labs Founder. \n\nBuilding the continuous learning platform for AI Agents\n\nhttps://carrotlabs.cal.com/chris/20-min-meeting",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christopher-acker-4711a3177/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f633a5168fb74667f84f441be1418cfd690860eb.jpg"
      },
      {
        "user_id": 3309323,
        "full_name": "Yuta Baba",
        "title": "Founder",
        "founder_bio": "Co-Founder of Carrot Labs.\n\nPreviously Senior Data Scientist at Snowflake, where I was in charge of ML account-based bookings forecasts that shaped financial planning as the company scaled from $250M pre-IPO to $3.6B in revenue.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yutababa/",
        "x_url": "https://x.com/yuta__baba",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39f087e64dd3676f6e4b5be30a474291e4b0a441.jpg"
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    "launches": [
      {
        "id": 98534,
        "title": "Carrot Labs: Custom models tuned to your tasks that never stop improving",
        "tagline": "Your model is your moat. Stop renting your intelligence and start growing it.",
        "body": "**TL;DR:** Carrot Labs helps you build models for your agents that are faster and better, forever. Use our platform to build proprietary models using open source that progressively improve.\n\n[**Our Launch Video**](https://youtu.be/Qiw-HG14AVE)\n\n## **The Problems:**\n\nFrontier models from Anthropic, OpenAI and Google are constantly pushing the boundary of intelligence further, but great quality comes with high latency and cost. Smaller models are fast, but can't get the job done right.\n\nSo you start modifying system prompts. It takes you far enough, but at some point you hit a ceiling. And every time a new model comes out, your prompts don't work the same way anymore! (just February 2026 alone, Opus 4.6 and Sonnet 4.6 from Anthropic, Gemini 3.1 Pro from Google, GPT-5.3-Codex from Open AI, Qwen 3.5 from Alibaba came out to name a few.)\n\n## **Solution:**\n\nWe build you a proprietary model tuned to your tasks so you always have access to the most performant model for your agent.\n\nOur platform records your agent’s activity and tunes an optimized model from an open source base model. Once it's ready, swap out the frontier model for yours. That's it. As new production data flows in, we continuously evaluate and retrain your model to boost performance. What you get is a model specialized to your tasks that outperforms frontier.\n\n## **Why this matters to your startup:**\n\nIn the short run, you need your agent to be faster and more accurate, and prompt tuning will only get you so far. We are the fastest way to get there.\n\nIn the long run, every company building agents is using the same frontier models. Your competitor has the same intelligence you do. The thing that differentiates you is the knowledge you distill into your own model. Your model is your moat.\n\n## **Team:**\n\nChris led AI at Skylo Technologies, the world's largest commercial direct-to-device satellite network that provides satellite communications services to Google, Samsung, and Garmin devices.\n\nYuta was a senior data scientist at Snowflake where he developed financial forecasts through ML that supported the company's hypergrowth from pre-IPO to billions in revenue.\n\n## **How you can help:**\n\nIf you are building agents or know anyone building agents who would appreciate a model that outperforms frontier on their tasks, let us know at [contact@carrotlabs.ai](mailto:contact@carrotlabs.ai).\n\nOur self-serve agent eval SDKs are available. Feel free to use it! You can sign up from here: <https://platform.carrotlabs.ai/login>.",
        "url": "https://www.ycombinator.com/launches/PdG-carrot-labs-custom-models-tuned-to-your-tasks-that-never-stop-improving",
        "votes": 22,
        "created_at": "2026-03-06T10:07:11.227Z"
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    "id": 31318,
    "name": "Databuddy",
    "slug": "databuddy",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png",
    "website": "https://www.databuddy.cc",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Databuddy gives you your very own data analyst, always watching over your data, combining all your context to investigate and paint a full picture on every product issue that emerges in real-time; conversion drops, user frustration and churn.\r\n\r\nIt makes your product better without needing to have you look at a dashboard and spend hours figuring out the why. one click to install or switch from any dated analytics provider.",
    "one_liner": "AI Data Analyst for fast-growing teams",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1791412796,
    "tags": [
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      "Analytics",
      "Data Engineering",
      "Infrastructure",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Analytics"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/databuddy",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/databuddy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trydatabuddy",
    "x_url": "https://www.twitter.com/trydatabuddy",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/databuddy",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png",
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    "primary_partner": {
      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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    "founders": [
      {
        "user_id": 2755916,
        "full_name": "Issa Nassar",
        "title": "Founder",
        "founder_bio": "Building the coolest analytics platform that handles your analytics for you.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/issanassar",
        "x_url": "https://x.com/izadoesdev",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91c0735889e9859c7981c36fd71679fb069d9050.jpg"
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    "id": 31323,
    "name": "Hedge",
    "slug": "hedge",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/757956da562e7db7b519f5658a7c7ffb78f05a6b.png",
    "website": "https://www.hedgespecialty.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Hedge is an AI-Native specialty insurance company. We help insurance brokers find faster, cheaper, and better coverage for their customers. ",
    "one_liner": "AI-Native insurance company",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1777586182,
    "tags": [
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
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    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/hedge",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hedge.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hedgeinsurance/",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
      {
        "user_id": 2567632,
        "full_name": "Luke Button",
        "title": "Founder/CEO",
        "founder_bio": "Building Hedge. Prev. founded Fernstone (AI-powered retail insurance brokerage), led a growth team at Traba (Series A, backed by Founders Fund), Head of Growth at Antimetal, cofounder at Contrast (acquired). ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lukebutton/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717eb78534ed7d2d8edf2ceae8d8697daa67808f.jpg"
      },
      {
        "user_id": 3568359,
        "full_name": "Luke Rosa",
        "title": "Founder",
        "founder_bio": "Building Hedge. Prev. Head of Scaled Systems at Traba (Series A, backed by Founders Fund, Khosla), replaced humans with AI agents to manage $20 MM+ in revenue. Econ at UChicago. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luke-rosa-4a2717160",
        "x_url": "https://x.com/lukerosa_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/524a034d003bd11ddfd046107d99a729dad21e3d.jpg"
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    "jobs": [
      {
        "id": 106786,
        "title": "Founding Head of Partnerships",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/OhSqnTH-founding-head-of-partnerships",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $250K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106787,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/WJGXGrP-founding-account-executive",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$110K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106788,
        "title": "General Application",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/ySdNL2F-general-application",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106789,
        "title": "Founding Sales Development Representative (SDR)",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/y0kYytQ-founding-sales-development-representative-sdr",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106790,
        "title": "Founding Head of Markets",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/TYij9MV-founding-head-of-markets",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $200K",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106791,
        "title": "Founding Underwriter",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/CJf8gSe-founding-underwriter",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106792,
        "title": "Founding Wholesale Broker - Commercial Auto",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/vlnK55k-founding-wholesale-broker-commercial-auto",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106793,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/Tke1Rmp-business-development-representative",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$60K - $100K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106794,
        "title": "Founding Wholesale Broker - Property",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/gwAnWOS-founding-wholesale-broker-property",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106795,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/Ne6tWKy-founding-engineer",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106796,
        "title": "Founding Wholesale Broker - Trucking",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/e2SS7zW-founding-wholesale-broker-trucking",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $250K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106797,
        "title": "Founding Growth Operations",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/BWCIwMc-founding-growth-operations",
        "location": "San Francisco - In Office",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$110K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106798,
        "title": "Founding Wholesale Broker - Casualty and Excess",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/eGhKzSh-founding-wholesale-broker-casualty-and-excess",
        "location": "San Francisco - In Office",
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        "id": 106799,
        "title": "Founding Wholesale Broker - Professional Lines, Management Liability, and Cyber",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/WzmvwG2-founding-wholesale-broker-professional-lines-management-liability-and-cyber",
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        "id": 106815,
        "title": "Founding Wholesale Broker - Medical Malpractice",
        "url": "https://www.ycombinator.com/companies/hedge/jobs/Xa6MiBj-founding-wholesale-broker-medical-malpractice",
        "location": "San Francisco - In Office",
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        "id": 106816,
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        "url": "https://www.ycombinator.com/companies/hedge/jobs/ACmDtnJ-founding-wholesale-broker-entertainment",
        "location": "San Francisco - In Office",
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      {
        "id": 100966,
        "title": "Hedge: AI-native specialty insurance company",
        "tagline": "Helping brokers get faster and better coverage for their customers",
        "body": "**TLDR:** We help insurance brokerages get quotes faster and cheaper. We started as brokers, realized insurance is broken end to end, and are now building the plumbing to fix it.\n\nWe’re hiring across sales, ops, and engineering here in SF. [**Apply here**](https://www.workatastartup.com/companies/hedge)**.** \n\n### **The problem:**\n\nI started a YC-backed AI-native insurance brokerage because buying insurance sucked.\n\nWe thought the answer was building a better brokerage. But then we became brokers and realized we weren’t actually fixing the system.\n\nBrokers do important work. They help businesses navigate a messy market. But they don’t control the parts of the stack that determine speed, price, and coverage.\n\nEvery quote still depends on multiple layers of brokers, underwriters, carriers, reinsurers, MGAs, and wholesalers.\n\nEach layer is still manual. Someone re-enters the same information by hand, then emails it to another person in the chain who does the same.\n\nEven when brokers move fast, quotes still sometimes take days or weeks. Brokers hate this. Their customers hate it even more.\n\nWe realized the only way to fix this was to go full stack and rebuild the workflows ourselves.\n\n### **What we’re building:**\n\n[**Hedge**](https://www.hedgespecialty.com) helps insurance brokerages get better, faster, and cheaper coverage for complex businesses.\n\nTo do this, we’re starting with the wholesale layer. The first major bottleneck for brokers.\n\nOur competitors are billion-dollar businesses that are still almost entirely human-driven. Ryan Specialty, one of the largest wholesalers, spends almost 60% of revenue on salaries. Their version of innovation is giving manual work to offshore contractors.\n\nWe think the better version is rebuilding the workflow around AI from day one. Hedge uses AI agents paired with underwriting to help brokers get quotes faster.\n\nSoon, we’re moving up the stack: combining wholesale distribution and underwriting into one AI-native insurance company built to help brokers win more business.\n\n### **Let’s talk!**\n\nWe’re already working with some of the fastest-growing brokerages we know, and now we’re scaling as fast as possible.\n\nIf you place E&amp;S business and want faster, cheaper quotes for your clients, we’d love to work with you.\\\n\\\nTo learn more:[ hedgespecialty.com](https://www.hedgespecialty.com/)\\\n\\\n**We’re hiring!  [Apply here](https://www.hedgespecialty.com/careers)**\n\n![uploaded image](/media/?type=post&id=100966&key=user_uploads/2567632/24c6880c-1e40-4812-a0b5-ada49876f9db)\n\n",
        "url": "https://www.ycombinator.com/launches/QGU-hedge-ai-native-specialty-insurance-company",
        "votes": 17,
        "created_at": "2026-05-08T05:52:39.977Z"
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    "id": 31352,
    "name": "Marker",
    "slug": "marker",
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    "website": "https://onmarker.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Marker is a platform for rebuilding enterprises agent-first, delivered by forward-deployed engineers. It productizes every step from discovery to production, so every agent we ship makes the next one faster.",
    "one_liner": "Platform + FDEs that rebuild enterprises agent-first",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1787016991,
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/marker",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/marker.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/112296703/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 334251,
        "full_name": "David Pastewka",
        "title": "Founder",
        "founder_bio": "Co-founder & CEO of Marker. Previously co-founded Drapr (S20), acquired by Gap Inc. UC Berkeley, Business & Computer Science.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/davidpastewka/",
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        "user_id": 35831,
        "full_name": "Richard Berwick",
        "title": "Founder",
        "founder_bio": "Co-founder of Marker. Previously co-founded Drapr (S20; acquired by Gap Inc.) and Twindom (acquired). UC Berkeley, Business.\n\nEntrepreneur at heart with a hacker brain. I'm always looking for ways to solve problems in efficient, inexpensive ways -- and I love helping people (and companies) get through difficult situations. If I can create value, I will.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/richard-berwick-93995629/",
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      {
        "user_id": 35832,
        "full_name": "Will Drevno",
        "title": "Founder",
        "founder_bio": "Co-founder at Marker. Previously co-founded Drapr (yc s20; acquired by Gap Inc.) and Twindom (acquired). Studied engineering at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/will-drevno-0a78832a/",
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      {
        "id": 111180,
        "title": "Marker: AI-native consultancy rebuilding businesses with AI agents",
        "tagline": "95% of enterprise AI initiatives fail. Ours don't.",
        "body": "**TL;DR: Marker partners with execs, learns how their organization actually works, finds the highest-impact problems, and solves them by** **shipping custom AI agents into production on the Marker platform in weeks. Each agent deepens our understanding of the business, so the next agent launches faster. We stay embedded until the business is rebuilt.**\n\n<https://www.youtube.com/watch?v=O829Y4wlKvk>\n\nWe’re Will Drevno, Richard Berwick, and David Pastewka, the founders of Marker. We’ve built together for 15 years. Our last company, Drapr (YC S20), was acquired by Gap Inc., and Richard went on to found Gap’s Office of AI.\n\n## **Why we built Marker**\n\nInside Gap, we saw firsthand how much leaders wanted to transform their businesses with AI and how hard it was to turn that ambition into production systems that actually changed how their organizations worked.\n\n**95% of AI initiatives still fail. Ours don’t.**\n\nThe hard part is understanding how work happens across people, systems, and teams; choosing the opportunities that matter most; and getting solutions into production.\n\n## **How Marker works**\n\nWe embed with each company and lead the transformation end to end:\n\n* **Understand the organization.** We listen closely to leaders and frontline teams, learn their systems and ways of working, and map the processes that usually live in people’s heads.\n* **Find the biggest opportunities.** We identify and prioritize the problems where AI can have the greatest impact on cost, capacity, speed, or growth.\n* **Build and ship.** We create custom agents and automations around the company’s real workflows and systems. The agents we deploy run on the Marker Command Center and go live in production within weeks.\n* **Compound.** Every agent we deploy deepens our understanding of the company. That helps us launch the next one faster and makes Marker increasingly integral to how the organization operates.\n\n## **Who we’re working with today**\n\nWe’re rebuilding companies from mid-size through Fortune 500.\n\n## **Why us**\n\nWe’ve sat on every side of this: founders selling into enterprises, operators transforming one from the inside, and executives responsible for enterprise AI. Marker is the company we wish we could have hired at Gap.\n\n## **Our ask**\n\n**If you are (or you know) a leader looking for real AI transformation—not another pilot, deck, or self-serve tool—please send them our way.**\n\nReach us via email at [**founders@onmarker.com**](mailto:founders@onmarker.com), or visit [**onmarker.com**](http://onmarker.com).",
        "url": "https://www.ycombinator.com/launches/SvE-marker-ai-native-consultancy-rebuilding-businesses-with-ai-agents",
        "votes": 72,
        "created_at": "2026-08-19T14:00:01.019Z"
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    "name": "GodHands",
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    "website": "https://godhands.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.",
    "one_liner": "Turn how your team works into playbooks and agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1777151399,
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    "batch": "Fall 2026",
    "status": "Active",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/godhands",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/godhands.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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      {
        "user_id": 905009,
        "full_name": "Sai Vamshi Batchu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/",
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        "user_id": 3245390,
        "full_name": "Aditya Bommakanti",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aditya-bommakanti-6b035321a/",
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      {
        "id": 122209,
        "title": "GodHands: Agents that learn by watching your best people",
        "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.",
        "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n<https://youtu.be/CJBsjbX1MKY>\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&amp;A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.",
        "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people",
        "votes": 11,
        "created_at": "2026-10-15T13:30:00.116Z"
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    "id": 31414,
    "name": "Dreach",
    "slug": "dreach",
    "former_names": [
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    "website": "https://dreach.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.",
    "one_liner": "staffing firms with dreach grow revenue faster.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1777049103,
    "tags": [
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    "batch": "Spring 2026",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/dreach",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dreach.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/joindrip",
    "x_url": "https://x.com/Drippaygmi",
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    "github_url": "https://github.com/DripYCx26",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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        "user_id": 3330353,
        "full_name": "Mike Levin",
        "title": "Founder/CEO",
        "founder_bio": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mikelevin-/",
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    "id": 31420,
    "name": "Kimpton",
    "slug": "kimpton",
    "former_names": [
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    "website": "https://kimpton.ai",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it.\r\n\r\nKimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades. EarningsBench is a public benchmark where models forecast quarterly earnings before companies report and the reported numbers do the scoring. Koliseum is the set of point-in-time financial environments we build from that work, for labs to train and evaluate models on.\r\n\r\nThe whole industry is fighting underperformance. Active managers trail their benchmarks, and capital keeps bleeding into passive. AI was supposed to fix that, but it hasn't. Funds either stitch together a dozen point tools or babysit general agents all day, and neither gets them to the trade.\r\n\r\nKimpton OS goes straight to it. It ingests a fund's mandate, strategy, and positions, connects to the institutional data the fund already runs on, and returns a structured trade proposal built for that fund. It's built to disagree, because consensus is poison for investment decisions. Instead of telling a PM what they want to hear, it surfaces the breaches and risks they'd otherwise miss.\r\n\r\nThat same work is how we grade AI. Static benchmarks leak into training data. Simulations reward what their authors imagined. A forecast sealed before the outcome exists and scored when the company reports can't be rehearsed or backdated. We started in markets because they're the one place reality answers on schedule.\r\n\r\nWe're two ex-Goldman engineers and an ex-SpaceX engineer. We left to start our own quantitative systematic hedge fund, raised $10M from a family office at 21 and 22, and scaled it to $35M over four years. We learned to trust live results over historical fit. We built Kimpton inside that fund, then productized the stack.\r\n\r\nWe're live with our first institutional client, a $3.3B manager. Our first market is fundamental equity funds from $1B to $10B, and the labs that need to know whether their models can do this work.",
    "one_liner": "Live Evaluation Arenas for Financial Work",
    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Asset Management",
    "launched_at": 1774039716,
    "tags": [
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      "Investments",
      "Trading",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
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        "full_name": "Jack Zumwalt",
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        "full_name": "Mauricio Ortiz",
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    "launches": [
      {
        "id": 117920,
        "title": "EvalRouter by Kimpton: One API for AI evaluation",
        "tagline": "Evaluate any model against any benchmark",
        "body": "\n![uploaded image](/media/?type=post&id=117920&key=user_uploads/3054189/67ffcd7e-40fd-40ff-81ad-cacb271d97b1)\n\nWe’re Jack, Mauricio, and Adrian, the founders of Kimpton (YC P26). Today we’re introducing **EvalRouter**.\n\nOne API for evaluating any model against any benchmark.\n\n<https://youtu.be/NLggXJxQoX4?si=lwgdK4-SwGfZycKb>\n\nWe built it because running an evaluation still means setting up a harness, provisioning sandboxes and babysitting long jobs. Model builders need to repeat this work as their models change and they add new benchmarks.\n\nWith EvalRouter you name a model and a benchmark and get graded results back. Choose a managed model or connect your own endpoint, select a benchmark version and set a spending cap. EvalRouter runs the evaluation and returns the results with the recorded answers and execution details. You can inspect what happened and export the report.\n\nCheckout the demo:\n\n<https://youtu.be/Sb5Ujg95ZLk>\n\nBefore Kimpton, we built and ran a quantitative fund together. Mauricio and I previously worked at Goldman Sachs, and Adrian worked at SpaceX and Vistra. We raised $10M from a family office, built our own research and automated trading systems, and scaled the fund to $35M in assets. At Kimpton, we’ve been building benchmarks and environments to evaluate AI models. EvalRouter makes those evaluations accessible through one API.\n\nRun your next evaluation at <https://evalrouter.ai>. If you build models or maintain a benchmark, we’d like to hear from you. Reach us at [founders@kimpton.ai](mailto:founders@kimpton.ai).",
        "url": "https://www.ycombinator.com/launches/Ufw-evalrouter-by-kimpton-one-api-for-ai-evaluation",
        "votes": 6,
        "created_at": "2026-10-01T21:50:20.304Z"
      },
      {
        "id": 113565,
        "title": "Koliseum by Kimpton, Live Evaluation Arenas for AI Models",
        "tagline": "Real-world market interaction environments, starting with financial markets",
        "body": "Today we're launching **Koliseum** by [Kimpton](https://bookface.ycombinator.com/company/31420), live evaluation arenas for AI models in financial work.\n\n**The problem**\n\nStatic benchmarks are contaminated soon after publication, and simulations reward the assumptions their designers encode. \n\nThis simply isn't acceptable in finance or any other professional industry. A wrong answer or action can be catastrophic and reality eventually shows whether the claim was right. Almost no evaluation waits to find out.\n\n**Koliseum**\n\nBefore Kimpton, we ran a quantitative fund. Backtests never proved alpha; live markets did. Koliseum applies the same test to models: a model commits inside an arena, the record is sealed, and reality supplies the grade.\n\nTwo kinds of arenas:\n\n* **Prediction Arenas** seal a forecast before the outcome exists and score it against consensus, market, and statistical baselines when reality resolves.\n* **Action Arenas** give a model a bounded task and real tools, then verify success from the resulting system state.\n\n![uploaded image](/media/?type=post&id=113565&key=user_uploads/3054189/789d031b-cca8-4596-8921-dbc9f1544cb4)\n\nThe first Prediction Arena is already running. **EarningsBench** seals earnings forecasts for public companies 24 hours before each release and scores them against consensus and a statistical baseline once results are public.\n\nTwo things are already clear: most open-weight models reproduce consensus exactly, and a simple statistical baseline is harder to beat than a leaderboard alone would suggest.\n\nAlong with these developments, we are introducing a new concept in evaluation: **reality-as-a-judge**.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=113565&key=user_uploads%2F3054189%2Fc6c1ba2c-4e77-4ebc-be71-675f0abd71a6&variant=large)\n\nMost open-ended evaluations are graded by another model or by a human rubric, so the score inherits the grader's assumptions. In reality-as-a-judge, the grader is the outcome itself.\n\n[More info on Koliseum](https://www.kimpton.ai/koliseum)\n\n[Methodology](https://www.kimpton.ai/methodology)\n\n**Our ask**\n\nReach out if:\n\n* You work on post-training or evals at a lab and want your model in the first private cohort. Results stay private unless you publish them.\n* You run a trading firm or a prediction venue and want models scored on your own resolving questions, or want to co-run a public arena.\n* You have a workflow (any industry!) with a verifiable end state and want it turned into an Action Arena.\n\nor know anyone who does.\n\nWrite to us at [founders@kimpton.ai](mailto:founders@kimpton.ai). Thanks for the support!",
        "url": "https://www.ycombinator.com/launches/TXh-koliseum-by-kimpton-live-evaluation-arenas-for-ai-models",
        "votes": 3,
        "created_at": "2026-09-02T16:01:08.067Z"
      },
      {
        "id": 102078,
        "title": "Kimpton: Cursor for portfolio managers",
        "tagline": "AI-native terminal where agents do the research and propose the trades",
        "body": "**TL;DR** AI can’t trade, but portfolio managers can. Kimpton combines high-resolution public financial markets data, portfolio manager strategy/mandate, portfolio holdings, and transaction data to generate trade ideas for managers.\n\n<https://www.youtube.com/watch?v=3aED4nL3G50>\n\n**Our Background**\n\nWe are former Goldman Sachs and Vistra Energy engineers who started a quantitative hedge fund together in 2021 after raising $10M from a family office at the ages of 22 and 21 years old, scaling it to $35M at its peak.\n\nWe spent four years systematically trading using the tools that we built in-house to support our systems. Internally, we developed Kimpton to automate many of our own workflows.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/7f252d74-65d7-4557-92f0-59383e3a782a)\n\n**The Problem**\n\nAI can’t trade. After all, LLMs are the most overfit backtest in all of human history. They are consensus machines and sycophantic by nature. As a result, AI goes largely unused by portfolio managers today.\n\nAgents finally had depth in 2025. We tested LLMs on the markets and were unimpressed with the output. LLMs can’t trade because they are consensus machines and sycophantic by nature. They lack the edge that portfolio managers provide.\n\nAI can’t trade like a portfolio manager, but they can research at 100X the efficiency of an investment analyst. For this reason, Kimpton revolves around the portfolio manager, solving increasingly all of the workflows that they need.\n\nAnalysts spend weeks aggregating data and synthesizing it to generate singular trade ideas that are passed up to portfolio managers for review. It’s time for a change.\n\nInvestment management is built on the idea that analysts and PMs need to spend their days staring at screens all day to find edge in the markets. \n\nTo refactor the investment management industry, we can’t simply provide better tools. We have to automate the entire research layer instead.\n\n**The Solution**\n\nKimpton automates the analysis layer by securely ingesting firm-wide context, portfolio, and transaction data to synthesize fully-formed trade recommendations fitted to their portfolio.\n\nPortfolio managers can challenge the results of the trade proposals through a process we call Adversarial Review, an agentic Socratic questioning to assist portfolio managers in coming to their own conclusions.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/62ecf56b-91f8-4c4d-a883-6a8be7df6108)\n\nWe developed a harness specifically for the financial markets to make aggregation efficient, fast, and accurate. It has access to high-quality institutional data sources through Factset, Massive, and Tiingo. Real-time data on tens of thousands of global assets across equities, ETFs, indices, insider trades, SEC filings, events, transcripts, company fundamentals, corporate leadership, and more!\n\nOur AI agents also provide portfolio managers with the ability to generate many different types of artifacts, such as real-time dashboards, institutional-grade reports, and comprehensive visualizations.\n\n**Traction**\n\nKimpton is deployed and generating trade proposals on billions of dollars of assets under management today.\n\nPortfolio managers are using Kimpton to monitor their exposures, understand investment thesis drift, earnings coverage, manage positioning across teams, investor reporting, and as an investment team collective brain.\n\nPortfolio managers are underserved today when the potential to refactor the way they work is massive. Kimpton is focused on improving the lives portfolio managers who are actively making decisions in the public markets.\n\n**Ask**\n\nIf you know anyone who manages assets a hedge fund, family office, mutual fund, ETF manager, or other public markets manager — we’d love to speak with them.",
        "url": "https://www.ycombinator.com/launches/QYQ-kimpton-cursor-for-portfolio-managers",
        "votes": 9,
        "created_at": "2026-05-28T07:12:24.038Z"
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    "website": "https://lab0.ai",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Enterprise software implementation is broken,  and it has been for decades. \r\nEvery rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. \r\nLab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.",
    "one_liner": "AI FDEs to make your B2B SaaS Go Live in Days, not Months",
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    "industry": "B2B",
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        "full_name": "Onkar Borade",
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        "founder_bio": "Lab0 | IITB CSE | \nRebuilding the services industry through a Productized Approach ",
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        "user_id": 881443,
        "full_name": "Lakshya Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Building agents to deploy agents at Lab0.ai. Always down to talk about model quirks.\n\nPreviously was a founding engineer at Emergent (YC S24) - scaled it from 0 to $70M ARR - leading integrations, evals and deployments. \n\nStudied Computer Science at IIT Bombay. \n\nMore brags - \nWas All India Rank 12 in JEE Advanced 2020 and won a Bronze medal for India at the Asian Physics Olympiad 2019 held in Australia. \n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lakshya-gupta-0030771ba/",
        "x_url": "https://x.com/tokenaware",
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      {
        "user_id": 2014953,
        "full_name": "Sujay Srivastava",
        "title": "Founder",
        "founder_bio": "Striving towards 0-day Enterprise software Implementation with Lab0 (YC P26)\nIIT Madras Quantum Computing grad\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sujaysriv/",
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      {
        "id": 102876,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/hlPvGkT-founding-engineer",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$30K - $60K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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      },
      {
        "id": 109013,
        "title": "Founding Product Marketer (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/BEZKXau-founding-product-marketer-ai-native",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "₹1.5M - ₹4M INR",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Marketing design",
          "AI Agents"
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      {
        "id": 111521,
        "title": "Forward Deployed Engineer (FDE)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/mb7xcXo-forward-deployed-engineer-fde",
        "location": "Bengaluru, Karnataka, IN",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$35K - $70K",
        "equity_range": "0.05% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": [
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        "id": 115426,
        "title": "Founding GTM (AI-native)",
        "url": "https://www.ycombinator.com/companies/lab0/jobs/WODO2Yc-founding-gtm-ai-native",
        "location": "Bengaluru, KA, IN",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$25K - $50K",
        "equity_range": "0.10% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
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      {
        "id": 101609,
        "title": "Lab0 - AI FDE for Enterprise Software",
        "tagline": "Deploy enterprise software in days, not months",
        "body": "Enterprise software takes months to go live after the sale. Imagine paying for an app on the app store but not being able to use it for 6 months. [Lab0](https://lab0.ai/) solves exactly this.\n\nWe’re building an AI FDE that automates entire post-sales delivery for software companies - all from discovery, solution design, config, to testing and go-live. We’re currently working with Adobe and a couple of system integrators.\n\nThe future of enterprise software is self-serve, where enterprises buy a product, and it gets configured by agents.\n\n[Lab0](https://www.linkedin.com/company/lab0-hq/) is the AI FDE making that real: 6 months → 10 days.\n\n<https://youtu.be/UDrqfnYWlLI>\n\n# **The problem**\n\nIf you've sold to an enterprise, you know this already.\n\nA $200K contract lands. Hand off to post-sales. On a deeper technical discovery of your client’s processes, you realize you need a lot of custom changes to serve them.\n\nThat's the hidden tax on every enterprise sale, 3 months of bespoke FDE / Solution Architect’s work, rebuilt from scratch for every customer. That’s 3 months of lost value for the customer.\n\nEither you wait months to start billing, or somehow show enough ROI in the remaining duration of the contract to get a renewal.\n\n# **What we built**\n\n[Lab0](https://www.ycombinator.com/companies/lab0) is the AI FDE for your (AI?) B2B SaaS. It joins discovery calls and tells you what to ask, generates handoffs, design documents and test plans. It even configures the product, writes custom integrations and tests all the workflows before signing off.\n\n_Six months of services work, done in days._\n\n# **Who we are**\n\n[Onkar Borade](https://www.linkedin.com/in/onkar-borade/) , CS grad from IIT Bombay, saw the problem from inside Oracle, where the implementation team was bigger than the dev team.\n\n[Lakshya Gupta](https://www.linkedin.com/in/lakshya-gupta-0030771ba/) , also CS from IIT Bombay, was an early engineer at Emergent Labs where he scaled the Agent platform from 0 to $100M in ARR with over 5M users.\n\n[Sujay Srivastava](https://www.linkedin.com/in/sujaysriv/) , quantum computing grad from IIT Madras, was building an AI startup for BFSI, where every rollout felt like its own custom project.\n\nWe've sat on every side of an enterprise deployment, and [Lab0](https://www.linkedin.com/company/lab0-hq/) is the software we wished we'd had on every one of those projects.\n\n# **Our ask**\n\n**1. Are you a company selling to enterprises where implementation is eating your team's time?** We'll take one of your hardest customer deployments and run it end-to-end; you'll see the value firsthand.\n\n**2. Intros to Professional Services leaders / Customer Success / Solutions Architects** at enterprise software companies with 20+ person implementation teams. If you've seen this pain from a previous job - even from across the aisle in a product or engineering role, a warm intro goes a long way.\n\nDrop an email at [founders@lab0.ai](https://mail.google.com/mail/?view=cm&fs=1&to=founders@lab0.ai)\\\nor\\\nBook a call at [Lab0-Calendly_Link](https://calendly.com/d/ctzx-ndw-n8b/office-hours-with-lab0)",
        "url": "https://www.ycombinator.com/launches/QQr-lab0-ai-fde-for-enterprise-software",
        "votes": 20,
        "created_at": "2026-05-20T03:31:19.320Z"
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  {
    "id": 31432,
    "name": "Keyframe Labs",
    "slug": "keyframe-labs",
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    "website": "https://keyframelabs.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "We build human foundation models. Our first family of models powers lifelike avatars that interact with users in real time, enabling AI agents and applications to go beyond text and voice with just a few lines of code. State-of-the-art realism with ultra-low latency at scale.",
    "one_liner": "Bring AI to life with the world's best interactive avatars",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1774290085,
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      "API",
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    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/keyframe-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/keyframe-labs.json",
    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/keyframe-labs-inc",
    "x_url": "https://x.com/KeyframeLabs",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/keyframe-labs",
    "github_url": "https://github.com/keyframelabs",
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      "name": "David Lieb",
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        "title": "Founder/CTO",
        "founder_bio": "Kaahan is co-founder and CTO of Keyframe Labs, building the world's first photoreal, emotionally expressive AI humans for real-time video agents. Previously, he spent five years at Zipline as a Perception Engineer, building their camera-based detect-and-avoid system for autonomous drone operations. His work spans computer vision and applied ML, with research at CVPR and JAMA.\n\nB.A. CS, UC Berkeley.",
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        "id": 99738,
        "title": "Keyframe Labs - turn AI into lifelike video calls",
        "tagline": "Bring AI to life with photoreal, conversational humans",
        "body": "**tl;dr:** our real-time, generative models turn AI into lifelike video calls. Deploy in minutes with a few lines of embed code. Photorealism, emotion, and scale for just $0.06 per minute.\n\nWe’re [@Kaahan Radia](https://bookface.ycombinator.com/user/569532) and [@Parth Radia](https://bookface.ycombinator.com/user/3206626) from Keyframe Labs. Our interactive video models bring your AI agents and applications to life.\n\n<https://youtu.be/cIEP8OwTD4M>\n\nYou can try a video call for yourself here: <https://keyframelabs.com>. To get a sense for the interactivity and expressive range, try asking for a sad Shakespearean monologue. Or for a “funny” dad joke.\n\n**But why video agents?**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/ad0420da-db57-4562-a1a4-b5db0b0de005)\n\nFace-to-face interaction triggers responses that text and voice simply can’t. Video calls close more deals, language learning with video tutors outperforms audio-only, and human presence drives outcomes in high-stakes interactions (e.g., telehealth, tax prep).\n\nNow that voice has emerged as a primary conversational interface across industries, video is the next leap. Developers and enterprises already use Keyframe to easily deploy photoreal, conversational humans to a wide variety of use cases, including:\n\n* AI roleplay, for corporate training / learning and development\n* AI recruiting, for interview practice and automated screenings\n* Telehealth\n* High-touch customer support\n* AI sales and customer success reps\n* Always-on digital twins of influencers, to scale engagement and hyper-personalize interactions\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/34f670bd-7436-48e9-bd72-2d0f8bd73e44)\n\nSuper simple.\n\n1. Connect your agent or LLM, or choose from our supported providers\n2. Select a persona from our stock library\n3. Drop the embed code into your application\n\nNeed a custom persona or more control? Custom personas are available on enterprise plans, and our SDKs let you roll your own implementation.\n\n**Why Keyframe**\n\nOur research goals from day one have been:\n\n* Make meaningful progress towards beating the uncanny valley\n* Run at real-time, with world-scale efficiency\n\nThe result:\n\n* Industry-leading realism and concurrency limits\n* At a fraction of the cost of competitors\n\n**Get up and running**\n\n* [Sign up free](https://platform.keyframelabs.com/) (no credit card required) and build something cool\n* Have a use case? [Book time with us directly](https://keyframe-labs.cal.com/sales/intro-call)\n* Know a company that could benefit from face-to-face AI interactions? We’d love an intro",
        "url": "https://www.ycombinator.com/launches/Pwg-keyframe-labs-turn-ai-into-lifelike-video-calls",
        "votes": 24,
        "created_at": "2026-04-14T18:57:11.659Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sidekick is an AI agent that runs custom manufacturing operations over text. Workers text a problem, photo, video, or voice memo and get an answer from the shop's own documents. It reads live machine data and acts on its own: flagging issues before they become downtime, opening and routing work orders, and placing purchase orders. No app, no login.\r\n\r\nThese shops run on tribal knowledge: a handful of veterans know how every job is set up, and they are retiring. Sidekick learns from every message it handles, so answers outlive the people who gave them, and shops run 15% more jobs with the same crew. Sidekick captures it as a byproduct of the work, in an industry that was never documented.",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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        "full_name": "Justin So",
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      {
        "id": 109075,
        "title": "Sidekick: AI agent that handles frontline operations over text",
        "tagline": "Sidekick gives frontline workers an AI assistant they can text, with no app, login, or training.",
        "body": "**Hey everyone 👋**\n\nI'm Justin, founder of Sidekick.\n\n**TL;DR** Sidekick is an AI assistant that frontline manufacturing workers use over text message. They text a number and it answers from the company's own documents, creates and routes work orders, and syncs with the software the company already uses. No app, no login, no training. I built Sidekick for my dad's manufacturing shop. It’s now live at facilities across the globe.\n\n**_Ask:_** Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility? I'd love an intro! Email [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo**](https://calendly.com/justin-textsidekick).\n\nCheck out our launch video:\n\n<https://www.youtube.com/watch?v=yxwq5ZAojXg>\n\n## ❌ The Problem\n\nI grew up in my dad's manufacturing plants and spent summers working on the factory floor at EDS Manufacturing.\n\nHere's what I watched happen repeatedly. A machine goes down, everyone's waiting, and the person who can help is in a meeting or on another line. Half the time the answer already existed. Nobody could get to it.\n\nWhy it keeps happening:\n\n* **No computer access.** Nobody on that floor has a company login or an email address, so none of the plant's software reaches them.\n* **The answers are scattered.** An SOP in a binder, a manual on a shared drive few have permissions to, a safety procedure someone printed and taped to a wall in 2019.\n* **The best answers were never written down.** Thirty years of tribal knowledge lives in one guy's head, and when he retires it leaves with him.\n* **So the same questions get asked over and over.** Shift after shift, and every one of them costs somebody their afternoon.\n\nThere are 239,000 manufacturing plants in the US, and only 29% of the people working in them have advanced digital skills. Any tool that requires a download, a login, and training makes adoption difficult.\n\n## ✅ Our Solution\n\nWorkers text the Sidekick phone number. Problems, photos, voice memos, in any language. No app to download, no account to create, nothing to learn. Every worker on the floor already knows how to send a text, which is why adoption isn't a fight.\n\n* **Answers from your own documents.** SOPs, manuals, safety procedures, tribal knowledge. Sidekick responds in the worker's language, in seconds.\n* **Creates and routes the work order.** The issue gets logged and sent to the right person, without anyone needing a laptop.\n* **Syncs with the software you already run.** Sidekick pulls from and writes to your existing systems instead of replacing them, and integrates directly through PLC and SCADA systems so the floor and the software finally see the same thing.\n* **Captures tribal knowledge.** Every exchange builds a searchable knowledge base the company owns, so the know-how stays when the veteran leaves.\n\nHere's a full walkthrough:\n\n<https://www.youtube.com/watch?v=a5zBRSXi-90>\n\n## 👤 The Team\n\nI'm Justin, founder and CEO. I'm the third generation in a manufacturing family, and I've been around plant floors since I was a kid. I studied Computer Science at the University of Pennsylvania, worked in finance at Arm, and left both to build Sidekick after watching the same problem play out on every floor I'd been on.\n\n## 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, I'd love your help:\n\n* **Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility?** Even a name and a \"you two should talk\" goes a long way.\n* **Have you sold software into manufacturing?** I'd love to hear what actually worked and what didn't.\n\nContact me at [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo here**](https://calendly.com/justin-textsidekick)**.**",
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        "votes": 7,
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    "long_description": "Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. Infera handles the protocol logic, vendor-specific scripts, data, inventory, and institutional knowledge in one system. An AI-native compiler for the lab: one system from intent to execution.",
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    "subindustry": "Healthcare -> Industrial Bio",
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    "country": "US",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Troy Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Infera Biosystems. Prev. experience in Nobel Prize winning lab. Dual BS in Political Science and Computation and Neural Systems from Caltech.",
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        "full_name": "Chloe Sow",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder of Infera (YC P26). Built research software and medical devices at Harvard Medical School, Brigham and Women's, Fred Hutch and PNNL. MechE + CS at Harvard.",
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        "title": "Infera – Control Lab Instruments with Natural Language",
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        "body": "### **⚡TL;DR**\n\n**Infera is the Claude Code for scientific instruments.** Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run, handling the protocol logic, vendor scripts, data, and inventory across the instruments your lab already uses. One system, from intent to execution.\n\n### 🤔 **The Problem**\n\nLabs run on hardware from the future and software from the past.\n\nThe instruments are extraordinary. Mass specs identify thousands of proteins, flow cytometers read tens of thousands of cells a second, and cryo-EMs image at near-atomic resolution. These are the machines behind biomarker discovery, immunotherapy, structural biology, and drug development. But the software around them still looks like it shipped in 2003, and runs like it.\n\nWe've watched labs running \\~6 instruments from 3+ vendors write a one-off script for every experiment, stitch outputs together by hand, and track inventory in a Google Sheet someone probably forgot to update last Tuesday. Scientists spend their week being human glue between machines that should already talk to each other.\n\n### **🔍How Infera Works**\n\n[**Demo Video**](https://www.youtube.com/watch?v=3GPze4X7AeA)\n\n**I. Describe the experiment in plain English.** Infera asks the right questions, surfaces edge cases, and checks against your lab’s inventory and instrument state.\n\n**II. Infera turns it into a run, accommodating both manual and automatable steps.** For programmable instruments, it generates vendor-specific scripts, executes, pulls the data back, and runs the analysis. For manual work like pipetting, gels, hand fermentation, etc., it's the context layer underneath: which step you're on, which reagent goes where, what could go wrong, and how others in the lab have run it before.\n\n**III. The knowledge stays.** Every protocol, every validated run, every edge case becomes part of the system and checked against instrument constraints, lab SOPs, inventory, and prior experiments.\n\nThat last part is the hard part. It's what general-purpose LLMs can't do, and it's what enables a researcher to trust the output the way they'd trust a trained technician.\n\n### 👩‍🔬 **Team**\n\nHi! We’re Chloe and Troy, and we're building Infera to close the gap between science and instrumentation.\n\n* Chloe studied Mechanical Engineering at Harvard. She's been building research software and medical devices since before college (Regeneron STS Scholar), including a microfluidic device that detects harmful chemicals in household products, and has been doing research at places like Fred Hutch, Brigham and Women's, Harvard Medical School, and Pacific Northwest National Lab.\n* Troy studied Computation &amp; Neural Systems at Caltech, where he held an endowed research fellowship in a top research lab as an undergraduate. He's published two first-author cancer papers, holds a first-inventor agtech patent, and built and sold two companies before Infera.\n\nBetween us, we've run experiments by hand, written the scripts, and watched the whole system break when one person leaves. That's the problem we're building Infera to fix.\n\n### **🎯Ask**\n\nWe're currently running pilots with Boston-area academic labs and cores. If any of these are you, reach out at [**hello@infera.bio**](mailto:hello@infera.bio):\n\n* **Academic labs and cores:** know a PI or core director in proteomics, genomics, flow, automation, or screening? We'd love an intro, and we're happy to set up a pilot\n* **YC founders with wet labs (diagnostics, therapeutics, synbio, tools):** we’d love to meet whoever runs your lab ops\n* **Biotech and life sciences folks:** come say hi\n* **Instrument manufacturers** whose customers wish the software were better, let's talk\n\n![uploaded image](/media/?type=post&id=102417&key=user_uploads/3288797/b9d81458-f74b-47a8-88ac-e3cf756951b9)\n\n",
        "url": "https://www.ycombinator.com/launches/Qdt-infera-control-lab-instruments-with-natural-language",
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        "created_at": "2026-06-02T15:49:42.214Z"
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    "name": "Alchemize",
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        "full_name": "Ismaeel Bashir",
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        "user_id": 3409042,
        "full_name": "Nikodem Bieniek",
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        "founder_bio": "Nikodem is co-founder and CTO of Expanse. Trained and optimised speech recognition models on GPU clusters. Previously: managed the platforms researchers and engineers depended on at one of the world’s largest hedge funds (Millennium). Studied Computer Science at the University of Edinburgh.",
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        "full_name": "Yafet Melake",
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        "full_name": "Eren Mendi",
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        "founder_bio": "Eren is co-founder and CPO of Expanse. Built state-of-the-art decentralised foundation model training systems and performance models. Previously: prototyped emerging technologies in quantitative finance (G-Research). Studied Computer Science at the University of Edinburgh and Imperial College London.",
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      {
        "title": "What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
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      {
        "id": 100703,
        "title": "Expanse - Unlock wasted GPU capacity",
        "tagline": "Unlock wasted GPU capacity.",
        "body": "**TL;DR**\n\nExpanse unlocks wasted GPU capacity. We’re the intelligence layer for compute infrastructure. Submit jobs with the right resources. Optimise them to run faster. Debug failures in seconds, not days. Works on cloud and on-prem HPC.\n\nWant to know how much more you can get out of your hardware? Schedule a call: <https://book.getexpanse.io>\n\n**Problem**\n\nRunning compute on a cluster means guessing memory, time, and GPUs before you submit. Get it wrong and your job fails mid-run. Over-guess and you pay for compute you never use. 30% of cloud spend is lost to over-allocation \\[1\\]. Microsoft Research found their own deep learning jobs hit 50% GPU utilisation or lower \\[2\\].\n\nSizing jobs takes decades of experience. Memory patterns, batching, GPU threading, CPU vectorisation. AI agents don’t have enough information to fix it either. SLURM and Kubernetes don’t expose enough structured data. Even strong platform teams are forced to choose: spend time debugging and optimising every job, or accept the waste. AI infrastructure spending will hit $2.52 trillion in 2026 \\[3\\]. The waste grows with every new cluster. This problem isn’t going away.\n\n**Solution**\n\nExpanse learns your cluster. We analyse your code and hardware telemetry, then track them over time. Our deep learning models build a picture of what your workloads actually need. Predictions get sharper with every job.\n\nOur models are deployed on your cluster. All analysis runs on your network. Your code and telemetry never leave your infrastructure. We can’t see your data, and you maintain full data sovereignty.\n\nOne command installs Expanse on your cluster. You get two tools.\n\n`expanse analyse` - for every job:\n\n* **Suggests the right resource configuration**\n* **Predicts failures from historical code and telemetry patterns**\n* **Surfaces code-level optimisations that increase efficiency**\n\n`expanse diagnose` - for every failure:\n\n* **Finds the root cause**\n* **Returns solution-oriented logs with the exact code and config changes to fix it**\n\nDays of debugging and optimising become seconds. Platform teams get what they need to do this in minutes instead of weeks.\n\n**Founders**\n\nWe're four engineers from the University of Edinburgh, all coming from top quant funds and national supercomputing centres. Ismaeel built the first multimodal HPC resource predictor at EPCC (Edinburgh's Parallel Computing Centre), beating every published baseline. Yafet built the first GNN cluster graph network for predicting SLURM queue wait times. Eren built decentralised foundation model training systems at Edinburgh. Niko trained large-scale speech ML models on GPU clusters and architected cloud and Kubernetes infrastructure at one of the largest hedge funds in the world. We left our jobs to fix this ourselves.\n\n**CTA / Ask**\n\nRunning compute and not getting enough out of what you’re paying for? Failing jobs, unclear errors, bills too high? We’d love to chat.\n\nKnow anyone in AI infrastructure (managing cloud and/or on-premise data centres), quant finance, drug discovery, or AI research labs? An intro would mean a lot :)\n\n**YC Deal**\n\nAll YC companies running serious ML training can contact us for a discounted pilot. We’ll find inefficiencies and wastage on your compute setup. Then we deploy Expanse, no changes to your workflows. You get more out of the hardware you’re paying for.\n\nReach out: [founders@expanse.sh](mailto:founders@expanse.sh) or <https://book.getexpanse.io>\n\nReferences\n\n\\[1\\] <https://grafana.com/blog/2023/03/03/how-to-optimize-resource-utilization-with-kubernetes-monitoring-for-grafana-cloud>\n\n\\[2\\] <https://www.microsoft.com/en-us/research/publication/an-empirical-study-on-low-gpu-utilization-of-deep-learning-jobs/>\n\n\\[3\\] <https://www.gartner.com/en/newsroom/press-releases/2026-1-15-gartner-says-worldwide-ai-spending-will-total-2-point-5-trillion-dollars-in-2026>",
        "url": "https://www.ycombinator.com/launches/QCF-expanse-unlock-wasted-gpu-capacity",
        "votes": 53,
        "created_at": "2026-05-04T04:30:18.506Z"
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    "long_description": "Revnu does the growth work founders never get round to. Connect your tools and it researches buyers, prepares outreach, runs ads and publishes search content. It watches the results and uses what it learns across every channel. You approve the work that needs your judgment and hear what moved every morning. You build. We grow.",
    "one_liner": "Your AI growth hire.",
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        "full_name": "George Jefferson",
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        "full_name": "art freebrey",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Revnu (P26) your AI growth team. Bootstrapped x3 $150k+ businesses as a student. she/they",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/artfreebrey",
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        "url": "https://www.ycombinator.com/companies/revnu/jobs/VM4oyLB-founding-engineer",
        "location": "Manchester, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "£80K - £120K GBP",
        "equity_range": "1.00% - 3.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
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        "id": 101688,
        "title": "Revnu - Your AI growth team. You build, we do everything else.",
        "tagline": "All the boring growth work you know you should do but never get round to. Done overnight.",
        "body": "Hey! We're [George](https://www.linkedin.com/in/georgejeffers/) and [Art](https://www.linkedin.com/in/artfreebrey/), co-founders of [Revnu](https://revnu.com/).\n\n**TL;DR**\n\n[Revnu](https://revnu.com/) is your AI growth hire. Connect your tools and our agents run every growth channel in parallel. Outbound, SEO, ads, short form content + more. You focus on building, we focus on growing.\n\n<https://youtu.be/cL_dwhuRvGM>\n\n**The problem**\n\nAI solved coding. Building software has never been easier and the cost is collapsing to 0.\n\nThe only moat left is distribution.\n\nFounders don’t want to worry about managing email outbound campaigns, ad budgets, blog articles. They’re busy shipping and talking to customers. \n\nThe options today are: hire a growth hire for $200k/yr or hack your own DIY tool stack together.\n\nUntil now! \n\n**Our solution**\n\nWhat Cursor did for coding, we're doing for growth.\n\n[Revnu](https://revnu.com/) runs every growth channel for you, in parallel, 24/7:\n\n* Cold outbound that finds you leads, drafts emails in your voice and books you calls\n* Runs thousands of ad creative variants on Meta, LinkedIn, Reddit, TikTok\n* Gets you ranking in Google and AI search\n* Creates short-form video content\n* Catches customers about to churn and wins them back\n\nNow founders can finally focus on getting back to building.\n\n**About us**\n\nWe're George and Art, both from the UK. We met in school when we were 14 years old and have been best friends ever since. We both dropped out of university the same day to join YC P26 and moved to San Francisco.\n\n* Before [Revnu](https://revnu.com/), we bootstrapped multiple businesses and kept on finding growth was the bottleneck.\n* That's why we decided to build [Revnu](http://revnu.com/). To automate the part of every founder's life they hate the most: the growth work.\n\n**Our ask**\n\nIf you're a technical founder and you hate doing growth (or you know someone who does), book a demo rn at [revnu.com](http://revnu.com).\n\nLove &amp; Guidance\n\n\\- George and Art\n\n![uploaded image](/media/?type=post&id=101688&key=user_uploads/1793674/ba606bb4-cad9-4957-ad1b-b64bf0249806)\n\n",
        "url": "https://www.ycombinator.com/launches/QS8-revnu-your-ai-growth-team-you-build-we-do-everything-else",
        "votes": 17,
        "created_at": "2026-05-21T01:51:58.616Z"
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    "id": 31545,
    "name": "Modern",
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    "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ",
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    "country": "AU",
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        "user_id": 1854581,
        "full_name": "Seb Poole",
        "title": "Founder/CEO",
        "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/seb-poole/",
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      {
        "user_id": 1862452,
        "full_name": "Aleks Tomovski",
        "title": "Founder/CTO",
        "founder_bio": "I've spent 15+ years building developer platforms, starting as part of the core team on Wix Code (now Wix Studio), where we helped empower millions of citizen developers before it was a buzzword. I then scaled a startup through Southeast Asia, before joining Canva where I led their internal developer platform. \n\nI left to co-found Modern with Seb, bringing the same platform-building instincts to IT automation.",
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      {
        "id": 101078,
        "title": "Modern: the AI-native IT function",
        "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses",
        "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n<https://youtu.be/iSOz7KXU8cY>\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → <https://getmodern.ai>.\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → <https://getmodern.ai>.\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → <https://getmodern.ai>.\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n",
        "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function",
        "votes": 6,
        "created_at": "2026-05-12T01:01:57.187Z"
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    "id": 31549,
    "name": "Enjamb Labs",
    "slug": "enjamb-labs",
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    "website": "https://www.enjamb.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We've worked with 130 life science companies, preclinical through phase 3, to deploy AI securely inside the systems they already work in.\r\n\r\nPharma runs on decades of closed software like Benchling, Veeva, Medidata, and SAS. None of it has an AI layer or speaks MCP, so agents cannot reach the systems where the work lives.\r\n\r\nEnjamb is that layer. Our agents run on top of existing systems and data, with no migration, and they reach the lab systems and internal tools no other AI touches. They learn how a team works, then do the work in Slack, in Teams, and in the systems themselves, across preclinical research, clinical evidence, trial design, statistical programming, and regulatory submissions.\r\n\r\nThis is AI tailored for how medicine gets made.",
    "one_liner": "The AI Workforce for Biopharma",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1779929226,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Rayan Mubarak",
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        "founder_bio": "Co-founder of Enjamb. I'm an ML and biology researcher. At 17, I published a first-author cancer ML paper in JMIR that beat SOTA models by 20%. Previously, I researched drug therapeutics for pesticide poisoning (30% more effective) and presented at top bio conferences (SOT, ISCB).",
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        "full_name": "Maadhav Deekshitha",
        "title": "Founder/CTO",
        "founder_bio": "Maadhav is an AI researcher. He was the youngest engineer at Dell's AI Lab, shipping AI CPU optimization on supercomputing infra,. He also worked at Broadcom R&D developing SOTA AI ASICs. For fun, he built a Rocket League AI trained on 1M+ sessions that beats the top 1% of players.",
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      {
        "id": 102105,
        "title": "Enjamb - The AI Workforce for Biopharma",
        "tagline": "Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval.",
        "body": "Hey YC 👋\\\n\\\nWe’re Rayan and Maadhav, and today we’re excited to launch [Enjamb Labs](https://www.enjamb.ai/).\n\n<https://youtu.be/5DwdtiLvViM>\\\n\\\n**TL;DR**\n\nEnjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. \\\n\\\nPharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer. \\\n\\\nOur agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions.\\\n\\\nIn just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson &amp; Johnson, AbbVie, Bristol Myers Squibb, Merck &amp; Sanofi.\n\n**The Problem: Pharma’s systems have no AI layer**\n\nIt costs $2.6 billion and 10+ years to ship a single drug, and most of that isn't the science. It's the work around it, spread across decades of closed legacy systems that don't talk to each other:\n\n* Benchling stores the data\n* Veeva holds the documents\n* Medidata runs the trials\n* SAS does the stats\n\nAgents are **_finally_**  good enough to do real scientific work. But there's no AI layer on these systems, and no MCP to plug an agent into where pharma's data and work actually live.\n\n**So, we built that connection layer we wished existed.**\\\n\\\n**What We Offer: Agents that run on top of pharma’s existing systems**\n\nEnjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.\n\nOur agents:\n\n* Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations\n* Design trials and run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC\n* Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs\n\n— all in one auditable workspace, with the context carried end to end.\\\n\\\n**The results:** Enjamb generates an FDA submission package in **48 hours** instead of 8 months, with **23x fewer errors** than GPT-5.5. And **98%** of the datasets it produces pass Pinnacle 21, the FDA's standard, on the first pass, before a human even reviews.\\\n\\\n**And it all runs in the browser**: full Word, Excel, and PowerPoint editors, a Python and R compute environment, 100+ scientific integrations, and 50+ fine-tuned models for in-silico validation. No setup.\n\n\\\n**Our Story: Two Researchers Who Lived the Problem**\n\nWe're **Rayan** (ML/Bio researcher, first-author paper @ JMIR, presented @ SOT and ISCB, beat SOTA by 20%) and **Maadhav** (ex-Dell AI Lab, ex-Broadcom R&amp;D).\\\n\\\nWe kept hitting the same wall in research: the science was the easy part. Everything around it, the evidence, the analysis, the documents, was fragmented, manual, and disconnected, and the context died at every handoff.\\\n\\\nSo we built what we always wanted: one workspace where agents carry the context across the entire drug program.\n\n**If no one's going to build it right, we will.**\\\n\\\n**Get Started**\n\n* See Enjamb at [enjamb.ai](http://enjamb.ai)\n* Or reach us at [rayan@enjamb.ai](mailto:rayan@enjamb.ai) for a demo\n\n![uploaded image](/media/?type=post&id=102105&key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f)\n\n",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "The next billion software users are AI agents, yet agents still can't act on their own: every paid tool they need runs through a human making accounts, managing API keys, and guessing which provider is best. We are the capability marketplace built for agents: one MCP and one balance through which agents find, pay for, and use APIs, data, skills, other agents, and software at runtime, with every request routed to the best provider based on benchmarks from real tasks and outcome feedback from the agents themselves.",
    "one_liner": "OpenRouter for Agent Tools",
    "team_size": 2,
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/amorphic-labs.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/amorphic-labs",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "user_id": 2352421,
        "full_name": "Dylan Kelly",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Amorphic Labs. CS @ Georgia Tech, prev. Quant Trading intern @ UBS. World Schools Debating Championship 2022 finalist & 8th best speaker, 2x National Team Debater, co-author of NeurIPS paper.",
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        "linkedin_url": "https://www.linkedin.com/in/dylankelly04/",
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        "user_id": 2599670,
        "full_name": "Frank Li",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO @ Amorphic Labs. Prev. Member of Technical Staff & Project Lead @ OpenAI, Auto-vehicle ML infra @ NVIDIA, Quant Dev @ Two Sigma, and Amazon. First open-source contribution at 15. CS @ UW Seattle.",
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      {
        "id": 112178,
        "title": "Agentmuxer by Amorphic Labs - OpenRouter for Agent Capabilities",
        "tagline": "One MCP and one wallet for agents to find, pay for, and use the best tools for any task",
        "body": "**tl;dr: OpenRouter became the router for model spend; we're building that layer for agent capabilities, starting with paid tools: web search, scraping, extraction, enrichment, and more from top providers in each category. No provider accounts or API keys, one balance, pay per use. We benchmark every provider on real tasks and route each request to the one that performs best, with fallbacks when a provider fails. We're looking for early users to try it out with free credits, email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com) if you want to check it out!**\n\n**Launch Video:**\n\n<https://youtu.be/-dxc8ZAUfFc>\n\n**The problem:**\n\nAgents can only use the tools a human wired up in advance, and they won't tell you what they're missing: they quietly make do, failing at anything they weren't hand-equipped for. Even when you do the wiring, you're picking blind: nobody actually knows which search API is better for this query, or which scraper will survive this site. The \"best setup\" frontier moves daily, so keeping up means hours of trawling MCP directories, X threads, and blog posts. Agents stay only as capable as their setup, and the more autonomous they get, the more that ceiling costs.\n\n**What we do:**\n\nYour agent asks for what it needs (\"structured data from this page\", \"research this with citations\"). We route the request to the best provider for that specific task, based on benchmarks on real tasks and outcome feedback from the agents using them: success rates, result quality, latency, and cost. If a provider fails, we cascade to the next, so your agent gets a result instead of an error. Every request makes the routing smarter. One balance pays for all of it, and it's the same MCP whether it's your own coding agent or agents you're shipping in a product.\n\nAPIs are just the start. The same marketplace will let agents acquire skills, hire other agents for specialized tasks, and sign up for software directly through MCPs, all from one balance.\n\n**Our team:**\n\nWe're Frank and Dylan, friends of 10 years who have been building together since middle school. Frank was a Member of Technical Staff at OpenAI and interned at Two Sigma, NVIDIA, and Amazon. Dylan was a quant trading intern at UBS, co-authored a NeurIPS paper, and was a grand finalist and 8th-best speaker in the world at WSDC 2022. We built this because we kept hitting the problem ourselves: agents stuck mid-task waiting for us to make accounts and guess at providers.\n\n**Our ask:**\n\n1. Want to be an early user? Email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com) and we'll onboard you with free credits.\n2. If you sell an API, dataset, or agent-facing service and want agents as customers, we'd love to talk about listing you. Email us at [founders@amorphiclabs.com](mailto:founders@amorphiclabs.com)\n3. If you want more information or want to join the waitlist, check out [agentmuxer.com](http://agentmuxer.com)\n\n_Make something agents want!_",
        "url": "https://www.ycombinator.com/launches/TBK-agentmuxer-by-amorphic-labs-openrouter-for-agent-capabilities",
        "votes": 13,
        "created_at": "2026-08-25T19:30:05.588Z"
      },
      {
        "id": 108806,
        "title": "Amorphic Labs - Agentic, Personalized Product Demo Videos for Sales",
        "tagline": "AI agents that create personalized demos at scale for outbound, inbound, and call follow-ups without your team recording a thing.",
        "body": "**tl;dr: We build AI agents that create personalized product demo videos for outbound, inbound qualification, and post-call follow-ups. Just give us a demo account for your app and a list of prospects, and our agent researches each prospect, uses its own computer to record a tailored workflow in your app with seeded personalized data, then edits and narrates the video so it is ready to send as a link to each prospect.**\n\n**Launch Video:**\n\n<https://youtu.be/uq9LyHYYyOU>\n\n**Our Ask:**\n\n* If you’re a founder or part of a startup that sells software, we can help you give every prospect a tailored product experience while saving your team hours of recording time. Book a demo at [amorphiclabs.com](http://amorphiclabs.com)!\n* If you know any sales or RevOps leaders, we would love introductions or referrals to them.\n\n**The Problem:**\n\nRecording a personalized product demo is one of the clearest ways to communicate your value and show someone how your product solves their problems, but preparing a demo environment, seeding data, and recording a high-quality video for every prospect takes too long. As a result, teams skip personalized demos in situations where they could be highly effective, such as outbound, and spend hours every week creating them for inbound requests and post-call follow-ups. This means teams miss opportunities to show prospects exactly how their product fits their needs, while wasting hours that could have been spent talking to and selling to prospects.\n\n**The Solution:**\n\nWe use AI agents to create personalized product demo videos at scale, bringing tailored demos to parts of the sales process where they were previously too time-consuming to produce. All you need to provide is a demo account for your app and a list of prospects.\n\nOur agent then:\n\n* Learns and interacts with your app on its own computer like a real sales engineer.\n* Researches each prospect to determine which workflow and data best fit their needs.\n* Seeds personalized data in your app.\n* Records itself completing the relevant workflow.\n* Edits the video to remove long waits and adds effects such as zooms.\n* Narrates the video with a script tailored to the prospect.\n* Gives you a finished video link ready to send.\n\nYou remain fully in control of how the videos are created: you can clone your own voice, define the workflows the agent can choose from, control the narration style and how each video begins and ends, and regenerate videos by giving the agent feedback.\n\n**Sample video our agent generated:**\n\n<https://youtu.be/QONd3u3NoGo>\n\n**Where you can use it:**\n\nTailored Outbound: You can import a list of leads you want to reach out to and ask our agent to create personalized demos for each one, showing prospects exactly how your product fits their needs through data, workflows, and narration tailored directly to them.\n\nQualifying Inbound: Add a request-a-demo form to your landing page so prospects who are not yet convinced enough to spend 30 minutes on a discovery call can spend 20 seconds requesting a personalized demo video and receive an email showing exactly how your product solves their problems.\n\nCall Follow-ups: After understanding a prospect’s key use cases and pain points during a discovery call, you can create multiple personalized demo videos showing how you address their needs. You can even create additional videos tailored to different stakeholders that your champion can use to sell your product internally.\n\nWe are initially focused on sales, but the same technology can also create walkthrough videos for onboarding, customer support, and documentation.\n\n**Our team:**\n\nWe have been best friends for close to a decade, have competed together in competitions spanning math, debate, pitching, business, and hackathons, built countless projects, and are now building Amorphic Labs together.\n\nFrank worked as a software engineer for three years while graduating from UW. He was a Member of Technical Staff at OpenAI and previously interned at Two Sigma, NVIDIA, and Amazon.\n\nDylan was a quantitative trading intern at UBS and recently graduated from Georgia Tech. He represented Team China twice at WSDC, was a grand finalist and the eighth-best speaker in the world in 2022, and co-authored a paper published at NeurIPS.\n\n**If you sell software and want to see what our agent could create for one of your prospects, book a demo at [amorphiclabs.com](http://amorphiclabs.com).**",
        "url": "https://www.ycombinator.com/launches/SIw-amorphic-labs-agentic-personalized-product-demo-videos-for-sales",
        "votes": 33,
        "created_at": "2026-08-03T21:11:17.469Z"
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    "id": 31592,
    "name": "GitCafe",
    "slug": "gitcafe",
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    "website": "https://git.cafe",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build GitHub for agents. We're rebuilding the infrastructure for the next hundred billion commits and CI jobs with hundreds of engineers already making the move.",
    "one_liner": "The Git forge for the next hundred billion commits",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785301269,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/gitcafe",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/gitcafe.json",
    "year_founded": 2026,
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    "country": "US",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
      {
        "user_id": 1920545,
        "full_name": "Veronica C.",
        "title": "Founder/CEO",
        "founder_bio": "Previously a founding engineer at Corgi S24 and returning to my roots in dev tooling.",
        "is_active": true,
        "linkedin_url": "",
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    "launches": [
      {
        "id": 109445,
        "title": "GitCafe: A Git forge for teams and agents shipping hundreds of times a day, not twice.",
        "tagline": "The Git forge for agent-scale teams",
        "body": "Software development is becoming much more parallel. Coding agents let a team have dozens or hundreds of related changes moving at the same time, creating more branches, reviews, CI runs, and automation than existing workflows were designed to absorb.\n\nToday, we’re opening GitCafe in public beta. It is a Git forge built for teams where humans and coding agents may ship hundreds or thousands of changes a day. We’re building the hosting, review, CI, security, and automation layer for that way of working.\\\n\\\nHundreds of users are already on GitCafe, and we’re currently running trials with roughly a dozen YC companies.\n\n![uploaded image](/media/?type=post&id=109445&key=user_uploads/1920545/eecbfb4f-82f1-4660-8ee8-aeea5273a8b9)\n\nGenerating code is only part of the problem. Teams still need to understand what is changing, review it safely, keep CI moving, catch security issues, and coordinate work without becoming overwhelmed.\n\nWe’re not building GitCafe because putting repositories, code review, and CI in one product is new. We’re building it because we believe the workload those systems need to support is about to change dramatically.\n\nWe started by rebuilding the Git infrastructure itself. Now we’re closing the product gap feature by feature.\n\nRecently, we added secret scanning, Buildkite and Harmont CI support, stacked diffs with Jujutsu and Sapling integration, and beta support for GitHub Actions.\n\nThese are foundational capabilities, not the destination. Building them on infrastructure we own gives us a base we can keep extending for higher-volume, agent driven development.\n\nThe honest version is that GitCafe is behind GitHub today. GitHub has spent more than a decade building an enormous product, and GitCafe does not yet have every workflow, administrative control, or integration that mature teams need. Some features are missing, some are experimental, and some edges are rough. We expect to earn the broader product surface, not claim it on day one.\n\nWe’re opening GitCafe now because the fastest way to improve it is to put it in the hands of teams doing real work.\n\nIf your team is already using coding agents heavily, try GitCafe at <https://git.cafe> and tell us where the workflow breaks down.\\\n\\\n<https://www.youtube.com/watch?v=blHKFEOmoFg>",
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        "votes": 64,
        "created_at": "2026-08-11T15:43:21.182Z"
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    "id": 31825,
    "name": "Kebra",
    "slug": "kebra",
    "former_names": [
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    "website": "https://kebra.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kebra builds AI for skilled technicians.\r\n\r\nKebra guides technicians in the field in real time, documents their job, and automatically handles hours of back-office work; from dispatching technicians to filing warranty claims and managing inventory.",
    "one_liner": "AI For The Skilled Workforce",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784399832,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/kebra-com/",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
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        "user_id": 1693074,
        "full_name": "Luca Hadife",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Kebra. Built multimodal AI systems at Microsoft. Early team member at Amata (Series A). UC Berkeley Data/ML and ASUC Senator",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/luca-hadife/",
        "x_url": "https://x.com/LucaHadife",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce9563442481e75ad730242772f72ce549481e01.jpg"
      },
      {
        "user_id": 2600431,
        "full_name": "Mohamed Hosny",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at Kebra. Taught Computer Architecture and Signal Processing at UC Berkeley EECS. Software Engineer on data center switches at Arista Networks.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mohamed-hosny-hussein/",
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    "launches": [
      {
        "id": 108355,
        "title": "Kebra — Making the field queryable",
        "tagline": "We capture what happens in field operations and turn it into the context AI employees need to automate the work that follows",
        "body": "Hey YC! 👋\n\nWe’re [Luca](https://www.linkedin.com/in/luca-hadife/) and [Hosny](https://www.linkedin.com/in/mohamed-hosny-hussein/), founders of [Kebra](https://kebra.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch_2026).\n\n## TL;DR\n\nKebra makes the field queryable.\n\nWe capture what happens across jobs, sites, and assets and turn it into a live operating memory that AI can query and act on. Our AI employees use that context to automate the work that follows across the systems companies already use.\n\nEvery job makes that memory richer, building the company specific context software agents use today and physical agents will need tomorrow.\n\nWe’re already working with field operations companies across Florida, Pennsylvania, and California.\n\n<https://youtu.be/VIwv5iVm8Ok>\n\n## The problem\n\nField operations never got their Claude Code moment.\n\nWe spent months inside HVAC companies trying to automate their back office. We built AI employees for claims, reporting, coordination, and follow ups.\n\nThey kept breaking.\n\nNot because the AI could not do the work, but because it was acting on a reality that never happened. The most important part of the operation happened on the ground and was never properly captured.\n\nA missing serial number. A photo never taken. What the technician actually found stuck in their head.\n\nYou cannot automate an alternate reality. Before AI can operate the field, the field has to become queryable.\n\n## Our Solution\n\nKebra makes field operations queryable.\n\n**Capture what happens:** Field teams document jobs through photos, voice, video, and structured workflows. Kebra checks what is missing while they are still on site.\n\n**Build the operating memory:** Every job updates a live history of sites, assets, repairs, decisions, and how the company actually works.\n\n**AI employees act on it:** They use that context to automate reports, claims, coordination, compliance, follow ups, and other back office work across the systems the company already uses.\n\n## Vision\n\nEvery job makes Kebra’s operating memory richer.\n\nToday, software agents use that context to automate field operations. Tomorrow, physical AI and robots will need the same company specific context to understand each site, asset, procedure, and history before they can work autonomously.\n\nKebra is building the context layer for field operations.\n\n## Our Ask\n\nRun or know a company with field operations where important information gets lost between the field and the office?\n\nEmail us at [founders@kebra.com](mailto:founders@kebra.com) and [book a demo](https://calendar.app.google/s1DwDxHTbxZ9w5Uq6).\\\nFollow us on [LinkedIn](https://www.linkedin.com/company/kebra-com)",
        "url": "https://www.ycombinator.com/launches/SBf-kebra-making-the-field-queryable",
        "votes": 13,
        "created_at": "2026-07-30T22:13:43.328Z"
      }
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    "id": 32123,
    "name": "HERA",
    "slug": "manufacturingintelligence",
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    "website": "https://www.manufacturingintelligence.org",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Hera, we build tools that help heavy engineering teams bring products to market up to 20× faster. Today, we work with manufacturers of data center ancillary equipment, renewable energy systems, robotics, heat exchangers, power plants and pressure vessels.\r\n",
    "one_liner": "We make sure every factory in the world builds without mistakes.",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1784416117,
    "tags": [
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      "Design",
      "Design Tools",
      "Manufacturing",
      "Industrial"
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    "batch": "Summer 2026",
    "status": "Active",
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      "America / Canada"
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      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "American manufacturers lose an estimated $285,000 annually to poor quality for every $10 million in revenue. At the same time, the industry is losing the engineers who know how to prevent those losses. Nearly 4 million manufacturing jobs will need to be filled by 2033 as experienced workers retire, and almost half are expected to go unfilled. Much of the expertise required to review complex engineering drawings exists only in the heads of senior engineers who are leaving the workforce.\r\n\r\nWe're both engineers who grew up watching this firsthand. After more than 200 conversations with manufacturing engineers, quality engineers and machinists, we're building software that captures that expertise by automatically reviewing engineering drawings against ASME standards and company-specific rules before they ever reach the shop floor."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "We're building the largest repository of engineering judgment in the world. We tailor each company's checks to their own standards, the kind usually mastered by only a handful of senior engineers. We turn that knowledge into software every plant can use the same week.\r\n\r\nWith success, the physical things the world depends on get built 10x faster, and a retiring generation's expertise is never lost."
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    ],
    "url": "https://www.ycombinator.com/companies/manufacturingintelligence",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/manufacturingintelligence.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "full_name": "Meera Patel",
        "title": "Founder/CEO",
        "founder_bio": "CEO of HERA. Previously delivered projects for Pfizer and TE Connectivity, and built factory automation systems used by millions. ML research and Industrial Engineering at UW.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/meera-patel-92704b207/",
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      {
        "user_id": 3352287,
        "full_name": "Noelle So",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder of HERA. Built water infrastructure at 19 serving companies behind 6% of Philippine GDP. Previously developed software for engineering facilities at TE Connectivity & Wyze Labs. Former machine learning and industrial engineering researcher at UW.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/noelle-so-055474140/",
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      {
        "id": 108320,
        "title": "Industrial Software Engineer",
        "url": "https://www.ycombinator.com/companies/manufacturingintelligence/jobs/ffZp9fi-industrial-software-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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          "JavaScript",
          "CAD Design",
          "AI Agents"
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    "launches": [
      {
        "id": 107030,
        "title": "HERA: catches thousand-dollar drawing mistakes before the shop floor.",
        "tagline": "Hera reviews every drawing against your factory's own standards and the ASME code, catching expensive mistakes and preventing rework 10x faster than manual review.",
        "body": "**TL;DR: Every custom metal part starts as a drawing, and every drawing gets checked by hand before anyone builds it. Hera does that check in minutes instead of a full day, and catches the mistakes that turn into scrapped parts.**\n\n[**https://youtu.be/J_5NRjkou3Y**](https://youtu.be/J_5NRjkou3Y)\n\n**The Problem**\n\nCustom mechanical parts run on 2D drawings. Whether you're an OEM releasing drawings to suppliers, or an aerospace supplier answering to source inspection, every drawing has to be checked against ASME/ISO standards and GD&amp;T requirements before it goes anywhere near a machine.\n\nRight now, that review is done by hand, and usually by the most senior engineer in the building. And a single missed tolerance callout or an ambiguous datum reference can mean a scrapped part, a blown schedule, or a shipment that fails inspection.\n\nWe heard the same story from a pressure vessel fabricator, a semiconductor tooling shop, and a medical device manufacturer: reviews take days. This isn't because the work is hard. There's simply no good way to do it faster without cutting corners, and nobody cuts corners on a drawing that could scrap a $40,000 part.\n\n**Our Solution**\n\nHera is a brain for manufacturing. Any real advance in manufacturing has to be grounded in two things: the standards parts are held to and the reality of the shop floor. So that's what we built Hera on.\n\nUpload a drawing and Hera checks GD&amp;T callouts, tolerance stack ups, and title block requirements against ASME Y14.5, relevant ISO standards, and your own design intent. The result is a drawing your shop can build right the first time, without the delays and rework that eat margins. Every review also makes Hera more valuable, creating a system of record for drawing errors that helps teams build better models for engineering processes.\n\n**While the current review takes days, Hera takes minutes… and gets better by the drawing.**\n\n**Us**\n\n**Noelle** grew up in an industrial park her family runs in the Philippines and has been on factory floors her whole life. At 19, she built a water-treatment facility that added 40 L/s of capacity to the park. \n\n**Meera** has spent years around manufacturing: at her family's plants, and on projects at Pfizer and TE Connectivity, where she built a SOTA discrete-event simulation. She taught herself PLC programming and C++, and has published ML research at UW.\n\nWe actually met on a bus to a factory tour, and have been best friends ever since!\n\n![uploaded image](/media/?type=post&id=107030&key=user_uploads/3352287/d05e9e1a-57c8-4e43-91d7-75e42a004261)\n\n**Our Ask** If you run or work at a factory (aerospace, semiconductor, medical device, pressure vessel, or custom machinery), we want to visit you! If you invite us out to see your shop, we’ll come by in person and bring you a **customized Hera Swiss Army knife**.\n\nReach out to us at [**founders@manufacturingintelligence.org**](mailto:founders@manufacturingintelligence.org).",
        "url": "https://www.ycombinator.com/launches/RqI-hera-catches-thousand-dollar-drawing-mistakes-before-the-shop-floor",
        "votes": 138,
        "created_at": "2026-07-24T15:18:23.996Z"
      }
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    "id": 32127,
    "name": "Perceptron ML",
    "slug": "perceptron-ml",
    "former_names": [
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      "Notyfi"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/23f18bbbc3a1b4a54c0c7513b5b49d243b55ff07.png",
    "website": "https://perceptronml.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build AI systems for law firms, trained on each firm's own matters and deployed privately in their environment: timekeeping, intake and matter monitoring, research, discovery, and drafting. Our grounding engine verifies every fact against a primary source before a model can cite it, which is why firms trust us with work that off-the-shelf legal AI keeps getting wrong.",
    "one_liner": "We make law firms AI-native.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782500527,
    "tags": [
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      "Legal",
      "Automation",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/perceptron-ml",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/perceptron-ml.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/perceptron-yc",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 3087509,
        "full_name": "Michael Marcotte",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Perceptron ML (YC S26). Previously AI Research at NVIDIA, where he built production AI agents for hardware debugging and formal verification. Holds BS in Mathematics and MS in Computer Science from Stanford.",
        "is_active": true,
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      {
        "user_id": 3122328,
        "full_name": "Peyton Marcotte",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Perceptron ML (YC S26). Previously founded PMARC, developing astronaut exercise equipment for long-duration spaceflight (supported by NASA, Brown University, and 1517 Fund grants). Studying Mechanical Engineering at Brown.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peytonmarcotte/",
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    "launches": [
      {
        "id": 110491,
        "title": "Perceptron ML: We make law firms AI-native",
        "tagline": "We help law firms claim the legal work they're leaving on the table by building AI and software around how each firm already works.",
        "body": "Hi everyone, we're Peyton and Michael Marcotte, brothers and co-founders of [Perceptron ML (YC S26)](https://www.linkedin.com/company/perceptronml/). We make law firms AI-native: we build the AI and software a firm needs to scale. Not a product off the shelf, a system built around how your firm already works, where no fact is used until it traces to a real document.\n\n[Perceptron ML (YC S26) Launch Video](https://drive.google.com/file/d/1c-5RUaBQsJWG-6vJsy0O8PLvAcgpuEco/view)\n\n**The problem.** In 2023, two New York lawyers filed a brief written by AI that cited six cases that did not exist. Courts have caught it more than a thousand times since. So most firms went back to doing everything by hand, and by hand the math is brutal: lawyers lose \\~40% of their day to work that isn't law, and tens of billions in legal work goes unclaimed every year because firms can't move fast enough to take it.\n\n**What we do.** Every firm's bottleneck is different, and it is never the one on the shelf. So we build what each firm actually needs: intake answered and filed at 2 a.m., demands drafted from the record, records requests chased until they land, deadlines and statutes watched, every hour matched to its matter, clients updated by text before they think to call. Every firm gets something different, but underneath it's all the same platform we built once: our grounding engine, our connectors into the firm's systems, and our agent runtime. That's what lets us build this broadly without being an agency.\n\n**Why you can trust it.** The AI we build doesn't guess. Every fact traces to a real document, verified against the primary source before a model can use it. Click anything, and the original opens.\n\n**Why us.** [Michael](https://www.linkedin.com/in/marcottemichael/) did AI research at NVIDIA (hardware-debugging agent in production). [Peyton](https://www.linkedin.com/in/peytonmarcotte/) led two NASA-supported research projects. We come from places where a confident wrong answer is unacceptable, and we started Perceptron ML because law is the biggest industry still run by hand for exactly that reason.\n\n**The ask.** If you know a managing partner, or the attorney who signs your invoices, we'd love an intro: [founders@perceptronml.com](mailto:founders@perceptronml.com)\n\n[perceptronml.com](http://perceptronml.com)",
        "url": "https://www.ycombinator.com/launches/Sk7-perceptron-ml-we-make-law-firms-ai-native",
        "votes": 7,
        "created_at": "2026-08-14T12:00:00.181Z"
      }
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  },
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    "id": 32135,
    "name": "Trope",
    "slug": "trope",
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    "website": "https://trope.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trope deploys custom AI agents into ERPs for mid-market companies. Every ERP is heavily customized, so useful agents need custom deployment too. Trope’s AI FDE learns each business and ERP, then builds and deploys agents, turning the last mile from services into software.",
    "one_liner": "AI FDE that deploys custom AI agents into ERPs",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783447220,
    "tags": [
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      "AI"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/trope",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/trope.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tropeai",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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      {
        "user_id": 2519723,
        "full_name": "Matthew Chow",
        "title": "Founder",
        "founder_bio": "Co-Founder at Trope. Safety critical firmware for the Tesla Cybertruck. Autonomous drone manufacturing at Zipline. Industrial software at Schneider Electric in Japan. UBC computer engineering grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mdchow/",
        "x_url": "https://x.com/mattchowx",
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      {
        "user_id": 1405446,
        "full_name": "Victor Vannara",
        "title": "Founder",
        "founder_bio": "Co-Founder at Trope. Built the first AI customer support agent at Amazon Payments. Learned to code at 13 by building Discord bots used by 400k users. UBC computer science grad.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/victor-vannara/",
        "x_url": "https://x.com/victorvannara",
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    ],
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    "launches": [
      {
        "id": 104941,
        "title": "Trope - Modernize ERP implementations with AI",
        "tagline": "The AI-native platform to deliver successful ERP implementations faster.",
        "body": "Hey everyone! We're [Matthew](https://www.linkedin.com/in/mdchow/) and [Victor](https://www.linkedin.com/in/victor-vannara/) - cofounders of [Trope](https://trope.ai/). We’re building the AI-native platform for ERP services.\n\n**TLDR**\n\n* After buying an ERP, companies spend over $50B a year on consulting services to get the software implemented\n* 70% of ERP implementations fail to meet budget, timelines, or targets\n* Trope deploys agents to help ERP implementation teams deliver projects on time and on budget from one AI-native platform\n\n**Launch Video:** <https://www.youtube.com/watch?v=mhDiw0nKB34>\n\n\\\n**❌ Problem**\n\nCompanies buy an ERP expecting it to become the most powerful software in their stack. It runs finance, inventory, procurement, operations, reporting, and the workflows the business depends on.\n\nBuying an ERP is easy. Implementing it is hard and requires labour heavy consultant work where:\n\n* Requirements get missed\n* Workflows get configured differently than agreed\n* Data issues get discovered too late\n* Testing reveals the system does not match how the business actually works\n* End-user adoption suffers\n\nFor implementation teams, the challenge is managing hundreds of stakeholders across concurrent projects, with thousands of documents, decisions, and system dependencies to track.\n\nThat is why so many ERP projects miss their budget, timeline, and targets, and why companies spend billions on implementation services.\n\n**✅ Solution**\n\nTrope is the AI-native platform that deploys agents to deliver successful implementations faster.\n\nUsing Trope is like having a project manager, consultant, and developer working 24/7, so you can spend more time on the design and decisions.\n\nTrope connects to the systems where project work already lives. It compares what was promised with what is actually being built, then flags gaps across scope, configuration, data, testing, training, and documentation before they become expensive.\n\nTrope takes action by turning meetings into action items, scanning ERP configurations programmatically, and keeping documents, configurations, and stakeholders in sync.\n\n**The Team**\n\nWe grew up in Vancouver and met at the University of British Columbia. We built operations and AI software at Tesla, Amazon, Zipline, and Schneider Electric.\n\nAfter speaking with ERP veterans who had built and sold practices, the pattern was clear: everyone knew the traditional services model was going to change, but no one knew how.\n\nTrope is defining the AI-native model for ERP services.\n\n![uploaded image](/media/?type=post&id=104941&key=user_uploads/2519723/896d82bc-589c-4f7b-a0a7-59d2c9fc8d9f)\n\n**Our Ask**\n\nIf you know anyone who works on ERP implementations (ie, consulting, system integration, or professional services) we’d love an intro. Email me at [matthew@trope.ai](mailto:matthew@trope.ai).\n\nTake care,\n\nMatthew &amp; Victor",
        "url": "https://www.ycombinator.com/launches/RIb-trope-modernize-erp-implementations-with-ai",
        "votes": 13,
        "created_at": "2026-07-08T17:03:27.360Z"
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    "id": 32137,
    "name": "Kara",
    "slug": "kara",
    "former_names": [],
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    "website": "https://karalabs.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kara is building diamond semiconductors. \r\n\r\nWe begin with growing ultra-high purity diamond wafers for advanced hardware. Used in data centers, spacecrafts, RF systems, and quantum hardware, our diamond moves heat up to 5× better than copper, helping critical systems run cooler, faster, and more reliably. \r\n\r\nDiamond has spent centuries as a symbol. We are turning it into infrastructure.",
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    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials",
    "launched_at": 1785349021,
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        "user_id": 3669602,
        "full_name": "Aarin Jhaveri",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Kara. 5th-generation diamond manufacturer. Sold millions worth of natural and lab-grown diamonds across the value chain. UC Berkeley Economics and Data Science. Industrializing diamond for the compute age.",
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        "full_name": "Anuveer Chadha",
        "title": "Founder",
        "founder_bio": "Founder @ Kara (S26) | Built diamond quantum sensing and computing systems @ LBNL with the Department of War | ML for chemical formulations @ Regeneron | Berkeley Chemical Engineering Dropout",
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      {
        "id": 109988,
        "title": "Kara: Making Diamond an Engineering Material",
        "tagline": "Kara grows and engineers diamond wafers for thermal management, semiconductor and quantum applications",
        "body": "**TL;DR:** We grow high-purity diamond wafers for scientific and industrial applications. Our diamond thermal wafers can be used in aircraft, spacecraft, RF electronics, and lasers to move heat dramatically better than conventional materials. We’re helping hardware run cooler, faster, and more reliably with diamond that is 5× more thermally conductive than copper.\n\nHere is a link to our launch video: \n\n<https://youtu.be/16aad1cU_FM>\n\n**The Problem**\n\nThe world’s most valuable hardware systems are limited by how quickly they can remove heat.\n\nFor AI chips, that means expensive GPUs throttle and deliver less compute. In aircraft and satellites, it means carrying more cooling mass. In RF systems and lasers, it limits sustained output power.\n\nAdding more cooling costs space, and energy, and sometimes is simply not possible.\n\n**What We Built**\n\nDiamond is usually something you wear. We make it something engineers can build with.\n\nDiamond conducts heat up to **5× better than copper while weighing \\~60% less** for the same volume. It is electrically insulating and stable in extreme environments.\n\nToday we manufacture:\n\n* Diamond heat spreaders for AI and high-performance computing\n* Ultra-high-purity diamond wafers for thermal, photonic and quantum applications\n* Diamond-metal composites (copper and aluminium) for thermal management\n* Metallized and bondable diamond plates\n* Custom-engineered diamond components\n\nWe are now producing custom samples under pilot agreements and purchase orders for thermal, electronic, aerospace, and quantum applications.\n\nSilicon transformed computing when we learned to manufacture it with extreme purity and control. Kara is doing the same with diamond. Today, our ultra-high-purity diamond pulls heat away from silicon chips.\n\n**Tomorrow, Kara’s control over purity and defects unlocks diamond as the ultimate semiconductor.**\n\n**Why us**\n\n[@Aarin Jhaveri](https://bookface.ycombinator.com/user/3669602) is a fifth-generation diamantaire who has sold millions of dollars in natural and lab-grown diamonds and worked across the supply chain.\n\n[@Anuveer Chadha](https://bookface.ycombinator.com/user/3669310) is a chemical engineer who has worked on diamond quantum sensing and advanced-materials research at Lawrence Berkeley National Laboratory with the Department of Defense and Department of Energy.\n\nDiamond is our unfair advantage. We know how to grow, control, and engineer it far beyond jewelry.\n\n**Our ask**\n\n**Today, we're looking for introductions to engineers building hardware that is limited by heat.** \n\nSpecifically:\n\n* AI accelerator packaging teams\n* Advanced packaging / OSAT engineers\n* Aerospace, space, and defence electronics\n* Data-centre infrastructure companies\n* High-power RF and GaN teams\n\nIntroduce us to the engineer responsible for the hottest, hardest-to-cool hardware, especially where size, weight, or power makes cooling difficult. \n\nWe’ll build them a custom diamond sample to test.\n\nEmail us at [founders@karalabs.ai](mailto:founders@karalabs.ai) or book time here: <https://calendly.com/aarin-berkeley/aarin-jhaveri-s-calender>\n\n**Diamond spent centuries as a symbol of “extraordinary”. We are making it something the world can build with.**",
        "url": "https://www.ycombinator.com/launches/Sc0-kara-making-diamond-an-engineering-material",
        "votes": 85,
        "created_at": "2026-08-11T20:00:00.166Z"
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "NebuSec is founded by the world’s #1 hacking team.\r\n\r\nWe were the first team to build an nginx RCE and the first to root Android 17. Our co-founders include members of the world’s No. 1 CTF team, DEF CON winners, Black Hat speakers, and PhD in cybersecurity. We have won $400K in bug bounties by exploiting the Linux kernel and Chrome browser.\r\n\r\n“Audited by NebuSec” is a mark of serious security credibility: a signal to customers, investors, and partners that your product has been reviewed by the world’s best hackers.",
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    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
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    "country": "US",
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        "full_name": "Eten Zou",
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        "full_name": "Yuan Tan",
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        "full_name": "Frank Wu",
        "title": "Founder/COO",
        "founder_bio": "Founder of Nebula Security (YC S26). Black Hat USA speaker and DEF CON finalist with r3kapig, the world's No. 1 hacking team in 2025. He led the DARPA AIxCC automated program repair team and shipped end-to-end RCE/LPE exploit chains on Chrome, Firefox, Linux, and Android. He pwned Google's kernelCTF multiple times with zero-days, and has published research at top academic venues such as USENIX Security and NDSS. Ph.D. dropout.",
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        "linkedin_url": "https://www.linkedin.com/in/yifan-wu-cs",
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        "full_name": "Xiaochuan Yu",
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        "founder_bio": "Founder at Nebula Security (YC S26). Hacked into iPhone, Chrome, Firefox, Safari, QEMU, and various things in your daily life. DEFCON finalist for 3 consecutive years. $200k+ Bug Bounty in Chrome. Core member of r3kapig, the #1 hacking team in the world in 2025, on CTFTime. M.S. from UC San Diego. Research published at USENIX Security, BlackHat USA. Ph.D. droped out. ",
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      {
        "id": 106602,
        "title": "Nebula Security: Bringing beyond Mythos protection to your product",
        "tagline": "#enterprise #cybersecurity #security #pentest #b2b",
        "body": "**TL;DR:** AI has changed cybersecurity. Don't let the next HuggingFace incident happen to your product. Hire VEGA, your best security engineer — a cybersecurity agent built by the world's best hacking team. It brings the same capabilities used to uncover critical vulnerabilities in browsers, operating systems, and internet infrastructure to protect your product. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today or find us at <http://nebusec.ai>\n\n**The Problem:** Cybersecurity has changed. When the attackers have AI, how do you prevent the next HuggingFace incident from happening to your product?\n\nWe are here at Nebula Security for one reason, we are building the **world’s best cybersecurity agent**, bringing beyond Mythos protection to your product. \n\n### AI makes you fast. We make you secure\n\nIntroducing **VEGA**, the best cybersecurity agent that is built by the world's best hackers. An agent that has discovered critical vulnerabilities in major infrastructure and earned over **$400K** in rewards from Google.\n\nWatch our [launch video](https://youtu.be/gOzg5M5DhXI)\n\nWith VEGA, you can:\n\n* Autonomously find bugs in your codebase\n* Monitor code changes 24/7\n* Analyze root causes and generate Proofs of Concept\n* Provide ready-to-use patches\n* Understand the overall code health\n\nYou focus on bringing your product to the world. We manage the security.\n\n# The world saw the proof\n\nWhile ~~other companies~~ create hypes, we show you the proof.\n\nVEGA discovered\n\n* [IonStack](https://x.com/nebusecurity/status/2069707520160227688?s=20): the world's first fullchain exploit to root Android 17.\n* [GhostLock](https://thehackernews.com/2026/07/15-year-old-ghostlock-flaw-enables-root.html): a 15-year-old Linux kernel vulnerability capable of compromising nearly all the Linux devices in the world.\n* [nginx-poolslip](https://x.com/nebusecurity/status/2057071579876753643?s=20) and nginx-quicburst: the world's first and second vulnerabilities capable of remotely control your Nginx servers\n* And 91 more CVEs from Linux, Windows, Chrome Browser, Firefox, Nginx, Wordpress, and the other software you use every day.\n\nWe found vulnerabilities in the world's most complex software. Let us protect your product too.\n\n# The epic hacker team\n\n* Eten (CEO): PhD in Cybersecurity; Pwn2Own winner; speaker at Linux Security Summit, Off-by-One, IEEE S&amp;P, USENIX Security, and NDSS. Previously worked at Microsoft.\n* Yuan (CTO): Previous cybersecurity PhD; Black hat speaker; Bringing VEGA to secure Linux Kernel.\n* Xiaochuan (Research Lead): From the world's #1 hacking team; three-time DEFCON participant; Jailbreak iPhone; Black Hat speaker; Previously worked at Zellic.\n* Frank (Research Lead): From the world’s #1 hacking team; DEFCON participant; Black hat speaker. Built the world’s first Android 17 root exploit.\n\nWe have won over **$400,000** from Google by breaking into their safest system.\n\nLet us show you what we can find in your system. [Book a demo](https://nebula-security.cal.com/etenz/30min?overlayCalendar=true) today.\n\nFind us at <http://nebusec.ai> | Email to [founders@nebusec.ai](mailto:founders@nebusec.ai)\n\n![uploaded image](/media/?type=post&id=106602&key=user_uploads/1626290/4c0c365e-7cc4-469f-9c1c-c04a82c4f1b7)\n\n",
        "url": "https://www.ycombinator.com/launches/RjO-nebula-security-bringing-beyond-mythos-protection-to-your-product",
        "votes": 12,
        "created_at": "2026-07-23T21:25:03.912Z"
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    "id": 32154,
    "name": "Zomma",
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    "website": "https://zommalabs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zomma is building the AI workforce for financial services with computer-use agents that onboard like humans and scale like compute. Its agents handle KYC reviews, transaction alerts, and disputes on the same screens human analysts use, no integration.",
    "one_liner": "The AI BPO for financial servies, run by computer-use agents",
    "team_size": 5,
    "industry": "B2B",
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        "full_name": "Jihyun Kim",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Zomma (YC S26). Launched $1B Hedge Fund as the Founding Team and Head of Product. Scaled Asia's largest wealth tech (now $10B+ AUM). Second time founder. Ex-Goldman Sachs. Cornell and NYU Abu Dhabi.",
        "is_active": true,
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        "full_name": "Varun Arumugam",
        "title": "Founder",
        "founder_bio": "Founder at Zomma (YC S26). Previously Founding ML Engineer at Bronco AI building agents for chip design verification. SWE at Apple on verification infrastructure. MS and BS in Electrical and Computer Engineering from UT Austin.",
        "is_active": true,
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      {
        "user_id": 3627790,
        "full_name": "Cashel Fitzgerald",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Zomma. Master's in Computer Science from Cornell. Built SOTA aerial object detection systems at Modern Intelligence. Previously engineered backend systems at 8am supporting $300M+ annual revenue and $20B+ yearly transactions. Trains VLMs for computer use.",
        "is_active": true,
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      {
        "id": 110619,
        "title": "Zomma: AI operations employees for finance back offices",
        "tagline": "Computer-use agents that work cross-border transaction alert investigations end to end: collect evidence, produce an assessment, draft an RFI.",
        "body": "We're building Zomma: AI operations employees for finance back offices, starting with cross-border transaction alert investigations.\n\n**TL;DR:** Zomma agents work directly inside the software your ops team already uses. No APIs, no integrations. For every cross-border alert, the agent gathers the evidence, writes the draft assessment, and drafts the RFI, end-to-end. Running live compliance-ops pilots with a US RIA and a $10B AUM wealth tech. 92% on OSWorld.\n\n<https://www.youtube.com/watch?v=oDXDKH_tYhg>\n\n## **The problem**\n\nCross-border payments trip more monitoring rules than anything else in the queue: sanctions name hits on foreign counterparties, high-risk corridors, first-time beneficiaries. Most alerts are false positives (McKinsey: over 90% in transaction monitoring), but every one still needs to be investigated. 20 to 60 minutes per case, across five or six systems, several with no API at all. And the evidence that clears them sits in foreign company registries and local-language adverse media. \n\nSo review capacity scales the only way it can: hiring. When hiring lags volume, alerts pile into backlogs that take months to clear, and backlogs are what regulators fine: $3.8B in AML penalties last year alone.\n\n## **What Zomma does**\n\nZomma agents work the queue on the same screens your analysts use: case manager, screening tool, admin panel, inbox, web search. Onboarding looks like hiring: an SOP and a login.\n\nOn a transaction monitoring alert, the agent\n\n* pulls the KYC profile and payment history\n* verifies the invoice and researches the counterparty, including registries you can only search by hand\n* writes a case-specific assessment with every claim cited to the source screen\n* drafts the RFI when documents are missing\n\nEvery step is logged and replayable: timestamped screenshots of every page checked, numbered citations, explicit no-match statements, a screen-by-screen trail an examiner can follow.\n\n## **Why start with cross-border alerts**\n\nIf an employee can do it on a screen, Zomma can learn it: the rest of the compliance queue, payment disputes, client onboarding, trade ops. Cross-border alerts come first because they have the exact shape our agents are best at: high-volume, parallelizable work that needs real reasoning but follows a defined workflow to a documented disposition. They're also the hardest cases to automate any other way: the evidence lives in registries and portals that will never have APIs. And agents scale with the queue: a volume spike means provisioning two more that afternoon; a BPO batch takes a month to train.\n\nComputer-use agents only recently got accurate enough to trust with a live queue, which is why we're building this now. Our state-of-the-art computer-use harness with our procedural and workflow memory system scores 92% on OSWorld.\n\n## **Team**\n\n* **Jihyun (CEO):** founding team at a Blackstone-backed hedge fund, scaled Asia's largest wealth tech, Goldman engineer.\n* **Cash (CTO):** backend systems behind $20B+ in yearly transactions, trains VLMs for computer use.\n* **Varun (CPO):** high-performance infra at Apple, design-verification agents at Bronco AI (YC S23).\n\nSend us \\~100 closed cross-border alerts and we'll show you what the agent would have done with them, or book a call: zommalabs.com/call.",
        "url": "https://www.ycombinator.com/launches/SmB-zomma-ai-operations-employees-for-finance-back-offices",
        "votes": 76,
        "created_at": "2026-08-18T16:00:00.082Z"
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    "id": 32155,
    "name": "Rex",
    "slug": "rex-inc",
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    "website": "https://www.rex.inc",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rex is an AI-native service for order to cash. Rex replaces manual operations with AI agents that continuously manage invoices, customers and exceptions.\r\n\r\nOrder to cash is a $60B outsourced function because the work is too messy for traditional automation. Every customer has different context, exceptions do not follow clean rules, and the next step is often buried in emails, portals, handoffs, or someone’s memory. Rex agents run continuously in the background and resolve work to SLA standards so cash keeps moving. We're live with pre-IPO tech companies, managing  >$500m in receivables from F100 companies, cutting manual follow-up cycles from weeks to hours.\r\n\r\nWe founded Rex after spending four years building Sequence, an a16z-backed finance ops platform, from zero to Series A — where we saw firsthand that at-scale, O2C still runs on manual labour.\r\n\r\nRex is the #1 winner of the Vercel AI Accelerator out of 2,500 teams, selected by Guillermo Rauch and leaders from OpenAI, Anthropic, Browserbase and more.",
    "one_liner": "AI-native BPO for enterprise order-to-cash",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Finance and Accounting",
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      {
        "user_id": 466573,
        "full_name": "Merlin Kafka",
        "title": "Founder/CEO",
        "founder_bio": "Merlin is the Founder and CEO of Rex, the AI partner for enterprise order-to-cash.\n\nHe spent 4 years as CPO at Sequence (a16z-backed), an order-to-cash platform where he grew the company to 100+ customers. He has deep domain expertise in order to cash and accounts receivable workflows -- the exact space Rex is transforming with AI.\n\nPreviously a PM at Tessian (Sequoia-backed, acquired in 2023). Studied Industrial Engineering in Cambridge and Product Design in Glasgow.",
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        "title": "Founding AI Engineer (Enterprise Finance Operations)",
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        "title": "Rex in Forbes | What Y Combinator's Latest Batch Reveals About The Future",
        "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/",
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      },
      {
        "title": "How Rex automates order-to-cash for finance teams",
        "url": "https://www.braintrust.dev/customers/rex",
        "date": "Aug 26, 2026"
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      {
        "title": "How Rex went from zero to enterprise ready in weeks with WorkOS",
        "url": "https://workos.com/blog/how-rex-went-from-zero-to-enterprise-ready-in-weeks",
        "date": "Jul 01, 2026"
      },
      {
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        "date": "Apr 28, 2026"
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      {
        "id": 107722,
        "title": "Rex: Turn enterprise order-to-cash into an autonomous operation",
        "tagline": "AI Operations Partner for Enterprise Order to Cash",
        "body": "Rex is an AI service that runs order-to-cash and accounts receivable operations for enterprises. Founders [Merlin Kafka](https://www.linkedin.com/in/merlinkafka/) and [Lewis Blackwood](https://www.linkedin.com/in/lewisblackwood) spent 4 years at an a16z-backed startup helping finance teams at startups like Cognition, Legora and Bridge automate revenue collection. The problem is 100x bigger in the enterprise, so they built Rex: agents that do the work end-to-end. Live in production with Synthesia.\n\n<https://www.youtube.com/watch?v=BKS7qaZS8Is>\n\n**Revenue ≠ cash**\n\nEnterprises invoice customers, then spend months chasing the money through email chains, PDFs and ancient web portals. A $1M invoice sits unpaid because one PO number didn't match.\n\nMultiply that across thousands of customers and you get 100+ person teams, often offshore, doing this by hand: collections, invoice submission, dispute resolution, deduction management, cash application. Order-to-cash is the most outsourced process in finance because the work needs judgment. Reading a customer's email and deciding whether their dispute is valid. Working out which of 14 open invoices a lump-sum payment covers. Knowing that this account always pays late but always pays, and that one needs escalating now.\n\nAR automation software has existed for 20 years and the teams never got smaller, because the tools organise the work while people still do it. Businesses invoice each other tens of trillions of dollars a year; the labour and outsourcing spend on collecting it is over $100B. Until now the only way to scale was headcount or a BPO contract.\n\n**What Rex does**\n\nRex connects to the ERP (NetSuite, SAP, Oracle), CRM (Salesforce), billing system and shared AR inbox, and learns how the team runs the process today. That knowledge becomes editable agent operating procedures: how to chase a Fortune 500 buyer vs a startup, which deductions get investigated vs written off, when a dispute goes to a human.\n\nThen agents run those procedures across thousands of accounts in parallel:\n\n* Collections and payment follow-ups, including the long tail no team gets to\n* Invoice submission and status tracking inside procurement portals (SAP Ariba, Coupa, Tungsten and hundreds of others)\n* Dispute and deduction investigation\n* Remittance processing and cash application\n* Responding to customer finance emails\n* Updating ERP, CRM and billing records\n* Routing exceptions to the team for approval\n\nPortals deserve a special mention: an increasing share of enterprise invoices must be submitted and tracked inside the buyer's procurement system. It's the work AR teams hate most and the work software vendors ignore. Rex treats it as core.\n\n**Is Rex a managed service or software?**\n\nEnterprises can partner with Rex as a managed service provider or let their team operate Rex. AR software (dunning tools, collections worklists, AR dashboards) organises work for a team to do. Rex agents do the work, and the finance team approves exceptions. With Rex, the team stops drowning in routine chasing and handles the judgment calls. Customers compare Rex to their next AR hire, their offshore team, or their BPO contract.\n\n**Can finance teams trust AI agents with collections?**\n\nAutonomy is earned, not switched on. Each procedure starts supervised: Rex proposes, the team approves. Once a procedure hits its accuracy bar for the account, it graduates and runs autonomously. Safe, high-volume work goes first; judgment-heavy edges stay gated as long as the team wants. Every action is logged with its full reasoning, so finance audits the system instead of babysitting it.\n\n**Traction**\n\n[Rex is live in production with enterprises like Synthesia](https://www.rex.inc/customers/synthesia), running collections, portal submissions, inbox triage and cash application. Cases that used to take weeks of back and forth resolve in minutes.\n\n**Get in touch**\n\nIf invoice volume is outgrowing the finance team, or order-to-cash runs on offshore headcount or a BPO contract, get in touch: [rex.inc](http://rex.inc)\n\n![uploaded image](/media/?type=post&id=107722&key=user_uploads/466573/80aa1a0e-383d-43f5-93b4-4a97d086d306)\n\n",
        "url": "https://www.ycombinator.com/launches/S1S-rex-turn-enterprise-order-to-cash-into-an-autonomous-operation",
        "votes": 11,
        "created_at": "2026-07-27T18:08:15.052Z"
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    "name": "Maingen",
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    "website": "https://www.maingen.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Maingen builds simulations for industrial operations ($5 trillion slice of the US economy) so frontier labs can train models that actually run power plants, factories, and datacenters.",
    "one_liner": "Simulating Agents Running Industrial Companies",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Energy",
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        "full_name": "Phillip Yan",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Maingen (S26). Prev. 0x, power trading, Scale AI, Coinbase (YC S12). \nShipped exchange infra powering $150M+ TPV",
        "is_active": true,
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        "full_name": "David Yang",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Maingen (S26). Prev. Idler (S25), Scale AI, Reticular (F24), and Amazon.\nCited by Anthropic for ICLR2025 mech-interp paper.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/david-yang-ai/",
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        "title": "Maingen: Simulations of real industrial operations, so agents can run the physical world",
        "tagline": "Long horizon RL environments for the $5 trillion industrial economy",
        "body": "Hello everyone!\n\nPhillip and David here, founders of Maingen (YC S26).\n\n**TLDR: AI is moving to the industrial world. Maingen builds RL environments for industrials (a $5 trillion slice of the US economy) so frontier labs can train models that actually run factories.**\n\n**Problem**:\n\nWe believe the next capabilities frontier is the physical world: operating factories, power plants, and industrial infrastructure. But that data doesn't exist on the internet, but rather as tacit knowledge inside enterprises, on operations desks, and in CMMS systems and vendor portals.\n\n**What we do:**\n\n<https://youtu.be/jE5HtSiAqxE>\n\nWe embed with operators in these industries and translate their decision making process into RL environments labs can train.\n\n**Our first public benchmark evaluates whether agents can run a solar portfolio [solarbench.maingen.ai](http://solarbench.maingen.ai).** We’re continuing in other areas like factories, and we’re already working with frontier labs.\n\n**Who we are**\n\nThe founders Phillip Yan and David Yang have previously built RL environments, worked in the energy industry, shipped software powering 150 million+ TPV, and have been cited by Anthropic.\n\n**Get Involved**\n\nMaingen is looking for researchers and industrial operators to help shape its next environments. We’d love to hear from you if you:\n\n1. Work on research on long-horizon **agents, RL environments, or physical-world capabilities**.\n2. Run operations at an industrial site or can introduce the team to someone who does\n\nReach out at [founders@maingen.ai](mailto:founders@maingen.ai)! We're always down for a coffee!\n\nThanks,\n\nPhillip and David",
        "url": "https://www.ycombinator.com/launches/STg-maingen-simulations-of-real-industrial-operations-so-agents-can-run-the-physical-world",
        "votes": 5,
        "created_at": "2026-08-07T16:00:00.073Z"
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    "name": "Studio",
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    "website": "https://trystudio.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Studio is a simulation lab studying how humans and societies respond to new ideas, and is building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected audience segments from real, traceable consumer-behavior data. Our simulations match live KPI outcomes like revenue and purchase behavior with over 97% accuracy for consumer-facing enterprises, higher than any synthetic panel, simulation lab, or traditional market research.",
    "one_liner": "Accurately simulate market response at scale",
    "team_size": 2,
    "industry": "B2B",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 3118770,
        "full_name": "Nikita Mullangi",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Studio. Researched human behavior & decision making @ MIT. Ex-UC Berkeley CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nikita-mullangi/",
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      {
        "user_id": 3141318,
        "full_name": "Cameron Malloy",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Studio (YC S26). Built AI agents at GI Partners ($49B AUM PE firm). Created agent-based financial contagion models at Nelumbium Capital. Ex UC Berkeley M.E.T. (EECS + Business Admin)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cammalloy/",
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      {
        "id": 111412,
        "title": "Studio: The simulation engine for market behavior",
        "tagline": "The first accurate simulation models able to predict society's response to an idea.",
        "body": "**TL;DR:** Studio is a simulation lab studying how humans and societies interact with new ideas, and building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected consumer segments from real behavior data. Studio's predictions match live KPI outcomes like revenue and sentiment with over 95% accuracy.\n\n<https://youtu.be/g0M-T2ohtcQ>\n\n## The problem\n\nA huge number of consequential decisions are bets on human behavior.\n\nA company launches a product or changes a price. A brand runs a campaign. A public institution launches a new initiative or communications strategy. In each case, the outcome depends on how a population responds.\n\nToday, teams rely on surveys and historical data to help derisk those bets.\n\nBut those tools are inherently outdated and non-comprehensive: they observe people individually and at a point in time.\n\n_Real populations don’t behave that way._\n\nPeople influence one another. Reactions spread between groups. Adoption compounds or fades. Sentiment changes. A decision that resonates with one audience can change how another audience responds. Those interactions are what ultimately determine outcomes like revenue, conversion, adoption, and sentiment.\n\nCurrently, the only real “simulation” is the launch itself.\n\n## What we do\n\nStudio builds live models of a company’s market from real data on how consumers behave. It overlays internal data like sales and campaign performance with external evidence like social conversations and market trends.\n\nStudio uses those signals to construct highly specific audience cohorts and model how their behavior and influence interact over time.\n\nTeams can then:\n\n* **Test-run launches:** see how a new product, price, campaign, message, or initiative will unfold.\n* **Forecast outcomes:** revenue, conversion, adoption, sentiment, and other KPIs.\n* **Understand why:** know which groups drive the result, by how much, and trace outcomes to exact evidence.\n* **Test alternatives:** compare different versions of a decision to find the optimal variation.\n* **Improve over time:** compare forecasts with real outcomes and recalibrate the model.\n\nInstead of predicting “How will this person respond to X?”, Studio answers:\n\n“How will a population interact with X, and why?”\n\nStudio has live-tested with large consumer brands like Danone and Mila, and our model’s predictions match real-world KPI outcomes with >95% accuracy.\n\n## Why we built it\n\nWe’ve spent years predicting behavior. Nikita built simulation software to understand and predict individual decision-making at MIT, while Cameron built predictive models for financial institutions and in private equity, and agent-based society simulations at UC Berkeley MET.\n\nWe met at the same gap: you can simulate how a protein will fold or how a financial system will react to a market shock, but there is no equivalent for simulating how society will interact with a new idea. We’re now creating a studio to design society.\n\n## Where we’re starting\n\nWe’re initially working with enterprises making high-stakes audience-facing decisions across product, pricing, innovation, brand, marketing, and communications.\n\nBut the underlying problem is much broader.\n\nAny organization trying to create a particular response in a population should be able to test different versions of that decision, understand how reactions might spread, and compare likely outcomes before deploying it.\n\n## Our ask\n\nWe’d love to talk to teams making consumer-facing decisions. This could be a new product, pricing plan, campaign, etc.\n\nIf you have an upcoming decision you’d like to test before it goes live, we’d love to run it through Studio!\n\n[trystudio.ai](http://trystudio.ai)\\\n[team@trystudio.ai](mailto:team@trystudio.ai)\n\nLet’s chat: <https://cal.com/team/trystudio/quick-chat>",
        "url": "https://www.ycombinator.com/launches/Syy-studio-the-simulation-engine-for-market-behavior",
        "votes": 14,
        "created_at": "2026-08-21T18:00:00.302Z"
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    "id": 32165,
    "name": "Rote",
    "slug": "rote",
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    "website": "https://tryrote.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rote handles the entire negotiation lifecycle between shops and insurance companies to help them recover thousands of dollars in denied claims. Shops today lose millions per year because they lack the resources to negotiate with insurance companies that undervalue repair costs. Rote's agents recover denied revenue by taking shop estimates and referencing technical repair data to autonomously file and defend shop claims.",
    "one_liner": "AI-native insurance department for auto body shops",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1778719731,
    "tags": [
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      "Workflow Automation",
      "Insurance"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2027",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/rote",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2027/rote.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryrote/posts/?feedView=all",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 2644782,
        "full_name": "Aditya Mittal",
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        "title": "Dialogus: Building the infra for enterprise voice agents",
        "tagline": "Infra for enterprise voice agents",
        "body": "Every year, enterprises spend billions of dollars operating contact centers. They struggle with high labor costs, long wait times, inconsistent customer experiences, and the challenge of hiring and retaining thousands of agents.\n\nMost AI voice products try to automate individual phone calls. We believe the real opportunity is much bigger: rebuilding the contact center itself.\n\nDialogus replaces traditional contact center operations with AI voice agents that can answer calls, resolve customer requests end-to-end, integrate with enterprise systems, and scale across hundreds of locations while maintaining a consistent customer experience.\n\nToday, Dialogus is already powering AI voice operations for Fortune 500 enterprises, handling thousands of customer calls in production.\n\nThe company was founded by Rodrigo Teran, Hans Ibarra, and Juberth Rodriguez after seeing how legacy contact center software wasn't built for the AI era. Instead of layering AI on top of decades-old infrastructure, they're building an AI-native contact center from the ground up.\n\nIf you're an enterprise looking to transform your customer support with AI, we'd love to talk.\n\n<https://youtu.be/Yh0SGq-HgQo>",
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        "full_name": "Mathieu Perez",
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        "title": "Founding AI Engineer",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
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        "equity_range": "0.50% - 1.50%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/zQZFaPA-founding-designer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/Y3oskDm-founding-customer-success",
        "location": "Paris, France",
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        "experience": "Any (new grads ok)",
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        "title": "Founding Sales - Europe",
        "url": "https://www.ycombinator.com/companies/ai-coach/jobs/HE1Omqf-founding-sales-europe",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
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        "equity_range": "0.05% - 0.30%",
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      {
        "id": 108339,
        "title": "COACH: The AI coach for in-person sales reps",
        "tagline": "Make every rep sell like your best one: door-to-door, in-home, showroom.",
        "body": "Hey everyone, we're Mathieu, Thomas and Nicolas, two brothers and a best friend building COACH.\n\n**TL;DR:** We're building the best coach for in-person sales ever built: reps record every in-person meeting from our app, and our AI turns it into precise, personalized coaching. And it works so well that 5 months in, thousands of reps already run on COACH, and we're live with the top 5 in-person sales companies in France, lifting conversion rates by 32% on average.\n\n<https://www.youtube.com/watch?v=yJB7wC3ddTM>\n\n## The Problem\n\n85% of sales in the world happen face-to-face. And in-person selling is brutally hard: a rep alone in someone's living room, reading signals, handling doubts, feeling the exact moment to push.\n\nThe best reps catch what no playbook can teach. That's why 20% of them bring in 80% of the revenue, and nobody knows what they're doing differently. The only way to find out is to physically be there: a ride-along, a full day, 100 km of driving to watch a single meeting. It doesn't scale.\n\n## The Solution\n\nCOACH's AI learns how to close customers for your business, and closes the gap at every layer of the sales org:\n\n* **Every rep gets a personal coach:** they record every in-person meeting from our mobile app, in-home, showroom, door-to-door, and walk out of each one with personal, precise feedback and a clear path to the next close. Our AI learns from your top 20% and coaches everyone to perform like them, starting each day with a morning brief on their weakest point. 90% improve on it in their first week.\n* **The company gets a sales brain that learns how to close its customers:** every meeting feeds it. Why is one region closing twice as much as another? Which objection is killing deals this month? Leadership just asks, COACH has the answer.\n\nThousands of reps already run on COACH, live with the top 5 in-person sales companies in France, where we've lifted conversion rates by 32% on average, and dozens of reps 3–4×'d their numbers. We're now growing fast in the USA, where our first customers are switching from virtual ride-along platforms to COACH.\n\nEvery rep gets a coach. Your company gets a brain.\n\n## The Team\n\nAt 18 and 21, we built Alsace Test: a 44-rep field sales team that did €3.5M in 14 months. Alsace made us fall in love with in-person sales, obsessed, actually.\n\nAnd one thing was driving us crazy: same product, same material, same training, and one guy closed 4× more than the others. We were driving 2,000 km a week just to watch reps sell.\n\nSo we asked them to record themselves. Suddenly, without moving, we were listening to 10 hours of meetings a day. That was COACH before COACH.\n\nIn an AI-driven sales world, we're deeply convinced Zoom sales and call centers will soon be replaced by AI agents. Face-to-face selling will be the last human job on Earth. We're betting on it.\n\n## Our Ask\n\nIf you run 5+ field sales reps, let's talk, we'll show you how to make them superhuman.\n\n* **Book a demo:** [Calendly](https://calendly.com/mathieu-perez-ai-coach/nouvelle-reunion)\n* **Email me:** [mathieu@getcoach.com](mailto:mathieu@getcoach.com)\n* **Text/call me:** +1 628-358-7470",
        "url": "https://www.ycombinator.com/launches/SBP-coach-the-ai-coach-for-in-person-sales-reps",
        "votes": 51,
        "created_at": "2026-07-30T19:46:52.311Z"
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        "full_name": "Nikos Dritsakos",
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        "equity_range": "0.50% - 3.00%",
        "experience": "Any (new grads ok)",
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        "title": "Glen: A shared learning layer for all the agents in your organization",
        "tagline": "The shared learning layer for agents.",
        "body": "Hey everyone! I'm Nikos, the founder of Glen.\n\n**TL;DR**\n\nGlen is building the organizational learning and context layer for agents.\n\nEvery agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes.\\\n\\\n[https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB](https://drive.google.com/file/d/1T0CkjYfo3k3FB40_R7UPNfONO-SdgfKB/view?usp=sharing)\n\nGlen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before.\n\nAnd Glen does more. It unifies all of your org's context: query the original agent behind any line of code, search every session your org has ever run, dynamic skill distillation, multiplayer agents, unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, and a company brain in Slack.\\\n\\\nComposio scaled usage from 2 users to org wide. Over a dozen SF startups use Glen. I’m onboarding new teams every week, email me at [nikos@tryglen.com](mailto:nikos@tryglen.com) to get set up with early access.\n\n![uploaded image](/media/?type=post&id=111187&key=user_uploads/3237090/2d8c514f-6318-491a-937e-87f1d3e32ae6)\n\n**What Glen does practically**\n\n* Relevant context injected on every prompt which steers your model to do knowledge work more efficiently saving your time, money and headaches. These injections can consist or niche knowledge unique to the repo you are working in, high level understanding of relevant sub systems, and previous approaches teammates took to similar problems. Glen surfaces the prior work that matters automatically, so tasks finish faster and cost fewer tokens with no loss in quality, because what lands in the window is the relevant work rather than more of it. You can lazy-prompt instead of retyping the same background every session. So far, internal evals show about a **29% reduction in token spend** and **21% reduction in task completion time**.\n\n  \\\n  **Also…**\n* PR review with the original context. Highlight any code in a diff and ask why it's there. Glen queries the agent session that produced it and answers from the actual trace instead of guessing from the diff.\n* Code search across every agent trace. Ask your coding agent anything about the codebase and it searches every session any agent in your org has run, so the answer comes from the work that produced the code.\n* A skill library the whole org shares. Glen distills what your team does into skills, publishes them where everyone can use them, and surfaces the right one automatically when someone hits a task it covers.\n* Multiplayer agents. You and your designer work the same deck in parallel, you on copy and them on design. Make a design edit and your agent applies the style theirs has learned. When they touch the copy, their agent writes in the voice yours was taught. Neither of you hands anything off.\n* No lock-in to a model provider. Transcripts from Claude Code, Codex, and Cursor all land in one place, and you can hand a session from one to another mid-task, with Glen converting the format so the next agent picks up exactly where the last one stopped. Your context, your skills, and your shared artifacts come with you, so moving between providers costs nothing.\n* We have a Slackbot company brain too!\n\n**Deployed org-wide at Composio**. Composio was my first design partner. It started with two users, grew to about twenty naturally as I iterated on the product, and is now used across the company. Also in use at over a dozen other companies!\n\nIn the last 30 days alone, Glen injected **10s of millions of** characters of organizational context into their agents. These injections steer the models used by these teams, giving them a competative edge that allows them to perform knowledge work better, faster, and cheaper.\n\n**My Ask**\n\nIf you are at a startup and are reading this, there's a 80% chance Glen would be a great addition to your productivity stack. Most teams run agents heavily, and if yours is tired of re-explaining meetings, Slack, tickets, conventions, and what past sessions already worked out, that's exactly what Glen removes. \\\n\\\nI'd love to chat, and I'll come to your office, or wherever you are, and set you up for a with a early access workspace before public availability. Just shoot me an email at [nikos@tryglen.com](mailto:nikos@tryglen.com)!",
        "url": "https://www.ycombinator.com/launches/SvL-glen-a-shared-learning-layer-for-all-the-agents-in-your-organization",
        "votes": 11,
        "created_at": "2026-08-20T17:30:00.860Z"
      }
    ]
  },
  {
    "id": 32227,
    "name": "Context.dev",
    "slug": "contextdev",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png",
    "website": "https://context.dev",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Context.dev gives AI agents structured data from any website through a single API.\r\n\r\nWe help developers build smarter agents & products that depend on accurate, fresh web data.\r\n\r\nIf you need structured data from the internet, you need Context.dev\r\n\r\nProud to power agentic products at Mintlify, Super, Vizzy, Klarna, and 600+ other companies. ",
    "one_liner": "We give AI agents realtime web context via API",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1780323126,
    "tags": [
      "B2B",
      "AI",
      "APIs"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/contextdev",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/contextdev.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/contextdev/",
    "x_url": "https://x.com/getcontextdev",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe20b06c889ed9f1a1b7d9b0ecf522c8e057d68b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 2538368,
        "full_name": "Yahia Bakour",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Context.dev, building the future of web context for AI.\n\nPreviously Principal SWE/Manager at Sunrun. Ex-Amazon SDE2, tech lead on tier-1 retail checkout platform.  Co-founder at StockAlarm.io (acquired), scaled to 225K+ users, 100K+ daily notifications.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yahia-bakour/",
        "x_url": "https://x.com/mynameisyahia",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b419df2397373e6789300f64b85611798b1b6f2.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 109242,
        "title": "Context.dev: Live web data API for AI agents",
        "tagline": "One API to collect, structure, and continuously refresh internet data for AI",
        "body": "Hello!\n\nYahia here, founder of [Context.dev](https://link.context.dev/yc) (YC S26).\n\n**TL;DR:** [Context.dev](https://link.context.dev/yc) turns the live web into structured data for AI agents and applications. Trusted by Mintlify, Passionfroot, Rho, and more than 400 customers.\n\nThe web was built for humans to browse, not agents to understand.\n\nOnce an AI product needs live internet data, its team often ends up maintaining browsers, proxies, crawlers, parsers, queues, retries, caches, and multiple data vendors.\n\nWe built Context.dev so that entire workflow starts with one API.\n\n<https://youtu.be/c2mVWBJmBtQ>\n\n**How it works**\n\nGive Context.dev the sources your product cares about and tell us what context you need. We collect it, structure it, and keep it current without your team building the infrastructure underneath.\n\n* Send URLs, domains, companies, websites, sitemaps, or files.\n* Get back clean Markdown, screenshots, company data, or structured JSON matching your schema.\n* Use Batches to process large workloads and Monitors to keep information current.\n* We handle the browsers, proxies, rendering, extraction, caching, retries, and queues underneath.\n\nHere’s what customers are already using it for:\n\n* **Soria** monitors hundreds of healthcare and financial sources.\n* **Murph** structures data on 2M+ foods, supplements, and tests.\n* **Mintlify** turns GitHub repositories into custom branded documentation.\n* **Executor** discovers and structures API docs across 3,000+ integrations.\n* **Dench** monitors social platforms for leads, generating $3M+ in pipeline.\n* More stories at [context.dev/customers](http://context.dev/customers)\n\nYour team builds the product. Context.dev keeps it connected to the live web.\n\n**The team**\n\nI’m Yahia Bakour, founder of[ Context.dev](https://link.context.dev/yc). Before this, I led engineering at Sunrun, worked at Amazon, and built and sold two startups.\n\nI started [Context.dev ](https://link.context.dev/yc)after watching teams repeatedly rebuild, and get stuck maintaining, the same web data infrastructure.\n\nToday, our team of 4 is building the context layer between the internet and every agent or application that needs to understand it.\n\nModels are no longer the main bottleneck for intelligent knowledge work. Context is.\n\n**Our ask to you**\n\nIf you’re building an AI product that needs internet data at scale, **please reach out**. We would love to learn what you’re building and where the existing tools fall short.\n\nYou can also try the API with 500 free credits and no credit card at [**Context.dev**](https://link.context.dev/yc)\n\nSchedule a call: <https://link.context.dev/chat>\\\nEmail: [yahia@context.dev](mailto:yahia@context.dev)",
        "url": "https://www.ycombinator.com/launches/SPy-context-dev-live-web-data-api-for-ai-agents",
        "votes": 113,
        "created_at": "2026-08-05T18:02:48.007Z"
      }
    ]
  },
  {
    "id": 32256,
    "name": "Zaplar",
    "slug": "zaplar",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c3ccfe3188152229b75f7e38241a91f40b4c9edd.png",
    "website": "https://zaplar.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Zaplar is the AI-native operating system for hotels.\r\n\r\nHotels run on legacy software and a fragmented tech stack. Zaplar replaces the entire hotel tech stack (PMS, POS, booking engine, etc) with one software that can handle hotel operations autonomously.\r\n\r\nLearn more at https://zaplar.com",
    "one_liner": "Agentic Hotel Operating System",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784823049,
    "tags": [
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "Sweden",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/zaplar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/zaplar.json",
    "year_founded": 2026,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/zaplar",
    "x_url": "https://x.com/ZaplarInc",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c3ccfe3188152229b75f7e38241a91f40b4c9edd.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3037509,
        "full_name": "Douglas Solberg",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Zaplar. Previously studied physics and mathematics at the University of Chicago. At 14, I started a web development and cinematography business, with customers including some of the biggest brand in the Nordics, and has award-winning photographs. At 18, I started a nonprofit that built 30 solar systems in Tanzania. I also had a SWE internship at Newscoop and held an internship at the Becker Friedman Institute for Economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/douglas-solberg/",
        "x_url": "https://x.com/douglassolberg1",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0da26ea47d66e82ed4773d6f3ef152036d41fc20.jpg"
      },
      {
        "user_id": 3424482,
        "full_name": "Axel Andersson Lingbert",
        "title": "Founder/COO",
        "founder_bio": "Co-founder at Zaplar. Previously worked in consulting for banks and debt collection companies, and in hotels and restaurants, where I saw firsthand the problems Zaplar solves.\n\nMSc engineering mathematics Lund Faculty of Engineering (LTH) dropout; co-led anti-money laundering (AML) and counter-terrorist financing (CTF) group at major Swedish bank.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/axel-andersson-lingbert",
        "x_url": "https://x.com/axelanderssonl",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d10aa88068d9616b0640d057136e583a589ed109.jpg"
      },
      {
        "user_id": 3167383,
        "full_name": "Oscar Karlstromer",
        "title": "Founder",
        "founder_bio": "Founder at Zaplar. Previously Honors List at Stockholm School of Economics (dropout); founder of the Nordic's largest non-profit for middle school academic competitions (40k students, 13-person team); worked APAC B2B sales, leading projects with accounts >$1M AUD across Sydney and Singapore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/oscarkarlstromer/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a19c12ac636c64a126575a4121ca42101926093e.jpg"
      },
      {
        "user_id": 3423827,
        "full_name": "Jon Milles",
        "title": "Founder/CTO",
        "founder_bio": "Coding since 12 MSc computer science Lund Technical University (LTH) dropout Security Software Engineer at the largest cybersecurity firm in the Nordics at 17 part of first LTH Formula Student team to achieve autonomous driving.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jon-milles",
        "x_url": "https://x.com/jnmlsxyz",
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    "launches": [
      {
        "id": 107463,
        "title": "Zaplar - Replacing PMS and the Hotel Tech Stack.",
        "tagline": "Replacing the fragmented hotel tech stack with one system that can understand and run hotel operations.",
        "body": "Hi everyone, we're Axel, Oscar, Jon, and Douglas, founders of Zaplar.\n\n**TL;DR:** Zaplar is an agentic hotel OS that replaces the fragmented hotel tech stack (PMS, booking engine, channel manager, POS, revenue management, housekeeping, and more) with one system built from the ground up for AI. We're eight people with backgrounds in hotel operations, engineering, AI research, and cybersecurity.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/c7720ef9-5a08-43eb-9631-4fefb2d239b6)\n\n**Ask:** Intros to hotel owners and operators who are unhappy with their PMS, and to executives and C-suite at hotel groups planning their next core system replacement. Details at the bottom. Reach us at [founders@zaplar.com](mailto:founders@zaplar.com).\n\n[Launch Video!](https://youtu.be/bpfJATRnYQM)\n\n## The problem\n\nIncumbents are bolting AI onto systems built for a different era. They provide a layer of AI to the end user, but the automations beneath it stay constrained. Their claim to use AI is correct. They just can't reason across the operation or automate work end to end.\n\nNo existing PMS or bolt-on solution gives hotels the architecture AI actually requires. And even if one did, a PMS alone still wouldn't automate hotel operations. It's one of as many as 15 systems a hotel runs, each built on a different architecture, each focused on one part of the operation, none able to act beyond its own boundaries.\n\nAI can't run a hotel if it can't understand the hotel.\n\nTo unlock the full potential of AI, a hotel has to run on a single system with a unified architecture: one that lets AI reason across the entire property, free of the boundaries integrations create and the context each one isolates behind them. Incumbents can't build this without replacing the foundation their business depends on, and they won't.\n\nWe arrived at this the slow way. Douglas's family has spent their careers running hotels, and we first built Zaplar to solve event bookings for them. In demo after demo, hotels were already evaluating another PMS, including ones that had just switched. Even leading vendors did not make a product hotels wanted to use.\n\n## The solution\n\nZaplar was built on this thesis from the start: the first truly AI-native operating system for hotels. It’s the path of most resistance, but the only way to do it right.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/5a0f8f2c-bcb0-4ebc-a3e1-e2c30c80baec)\n\nZaplar spatially maps out the entire property and its resources so that AI agents can reason across the hotel and understand how everything connects. On top of this architecture sit a PMS, POS, channel manager, booking engine, guest portal, housekeeping system, and more, with no boundaries between them. The result is an autonomous system that works in the background and completes work on its own. The system surfaces suggestions for staff to review, edit, and approve.\n\nOur goal is to be vertically integrated. Beyond deeper automation and richer context, the greatest benefit is that we can put all our effort into staying at the forefront, because we're not constrained by what anyone else is doing. Major hotel groups are starting to replace their aging systems, and we intend to be the only option on the table designed for what comes after.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/ad3b8b01-9f05-41f1-877e-952a35dc8e8a)\n\n## Our ask\n\n**Hotel owners and operators.** If you own or operate a hotel that is unhappy with its PMS, we would love to talk directly.\n\n**Executives and C-suite at hotel groups.** This is the intro we want most. Anyone at the VP level or above at a group, especially COOs, CIOs, CTOs, and heads of operations or commercial, and above all anyone whose group is planning a core system replacement in the next 18 months.\n\n**Everyone else.** You do not need to know their software situation to make the intro useful. We are focused on independents, small and mid-size groups, and boutique and luxury properties. If you have stayed somewhere you loved, send us the name and we will take it from there.\n\nReach us at [founders@zaplar.com](mailto:founders@zaplar.com) or learn more at [zaplar.com](http://zaplar.com).",
        "url": "https://www.ycombinator.com/launches/RxH-zaplar-replacing-pms-and-the-hotel-tech-stack",
        "votes": 20,
        "created_at": "2026-07-31T14:37:04.324Z"
      }
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  },
  {
    "id": 32259,
    "name": "screenpipe",
    "slug": "screenpipe",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png",
    "website": "https://screenpipe.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Screenpipe records and learns how people in your company work and turns it into a searchable memory, documents, and AI agents. Model agnostic and data is stored on your device and/or where your team choose, source available.",
    "one_liner": "Turn your company's computer work into AI agents.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1783386650,
    "tags": [
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      "B2B",
      "Enterprise",
      "Enterprise Software",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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      "Productivity"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/screenpipe",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/screenpipe.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/screenpipe",
    "x_url": "https://x.com/screenpipe",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/144e7207ec725036f43cc9a6b577a8320151e103.png",
    "app_video_url": null,
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    "company_photos": [],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 716431,
        "full_name": "Louis Beaumont",
        "title": "Founder/CEO",
        "founder_bio": "Previously French intelligence (acquired) and hyperscale cloud observability at OVHCloud.\nBuilt video game bots business when I was 14. My training dataset: 150 books a year.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/louis030195/",
        "x_url": "https://x.com/louis030195",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05f032b3236e73cfbdc174076161cd570a964593.jpg"
      }
    ],
    "jobs": [
      {
        "id": 103591,
        "title": "Forward Deployed Engineer (Enterprise)",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/EudBGQb-forward-deployed-engineer-enterprise",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Rust",
          "TypeScript"
        ]
      },
      {
        "id": 109046,
        "title": "Senior Product Manager",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/p3C1CYI-senior-product-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "$160K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 111400,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/screenpipe/jobs/hT5zAor-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $240K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "React",
          "Rust",
          "TypeScript"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 105615,
        "title": "Screenpipe: Record how you work and turn that into agents",
        "tagline": "Record how you work and turn that into agents",
        "body": "screenpipe records what you do, see and hear on your computer, makes it searchable, and gives agents the context to understand how you actually work. The project has 20K+ GitHub stars.\n\n<https://youtu.be/c1jV6E9pyug>\n\nMost AI agents start every task with partial context.\n\nThey can read the prompt and apps you connect. They do not remember the meeting where a decision was made, the tab you opened last Tuesday, the exact steps you took to fix a problem, or the edge case you discovered while doing the work.\n\nscreenpipe runs quietly in the background and captures screen and audio context on your machine. Then you can ask:\n\n* maintain a second brain for every person, projects, tasks, meetings\n\n\n* turn the workday into a daily recap and time breakdown for standups or client billing\n* maintain a personal CRM from the people, conversations, and follow-ups seen during the day\n* find commitments mentioned in meetings or messages that never made it into a task list\n* analyze repeated work and produce a list of workflows worth automating\n* save prompts and context from Claude, Codex, and ChatGPT into a searchable journal\n\nAgents can use screenpipe as long-term memory, so they work from what actually happened instead of only what you remembered to paste into a prompt.\n\nThe same foundation also works across team machines. Teams can map repeated workflows, generate SOPs, find bottlenecks, and identify automation opportunities across the tools where work actually happens.\n\nscreenpipe is open source and local-first. You control what gets recorded, can exclude apps, windows, and URLs, and choose where your data lives.\n\nI’ve been building my own AI second brain since 2020, but it could only remember what I explicitly saved. I built screenpipe so my AI could understand what I was actually doing across my screen and conversations. Other people began using it for the same reason. Today, we’re turning that foundation into context for personal and team agents.\n\n**Our ask**\n\nTry screenpipe and comment with the agent you would build if it could remember everything you’ve worked on.\n\nTry screenpipe: <https://screenpipe.com>",
        "url": "https://www.ycombinator.com/launches/RTT-screenpipe-record-how-you-work-and-turn-that-into-agents",
        "votes": 23,
        "created_at": "2026-07-14T14:38:00.824Z"
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    "name": "Tarifflo Inc.",
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    "all_locations": "Salt Lake City, UT, USA",
    "long_description": "Tarifflo is the infrastructure layer for modern customs - AI-powered filing, tariff recovery, and customs intelligence on one platform.\r\n\r\nFiling should be free. Legacy ABI software charges you per entry, per user, per module. Brokers charge for every transaction. Tarifflo's filing software costs nothing - file directly with CBP under companies own filer codes.\r\n\r\nWe make money when our clients do. 1 in 8 entries has an error that overpays duty - misclassification, tariff stacking, valuation, origin. Most importers never catch them. Our AI audits your entries, finds the overpayments, and helps file for your refund. \r\n\r\nUnder both is the same engine, live tariff intelligence covering every HTS code, Chapter 99 program, exclusion, and rate change - so the duty you pay going forward is as right as the refunds we recover looking back.",
    "one_liner": "Supply chain compliance and cost savings",
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    "industry": "B2B",
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        "full_name": "Bryce Judy",
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    "all_locations": "Ann Arbor, MI, USA",
    "long_description": "We are building the future of chip manufacturing.\r\n\r\nChips are more advanced than ever, and the features inside them keep getting smaller. But the cleanroom infrastructure supporting their manufacture has not scaled at the same pace. Intel, TSMC, Samsung, and others spend billions building and operating massive cleanrooms, only to isolate their most advanced wafers from the surrounding facility as much as possible.\r\n\r\nWe think that architecture is backwards. Instead of making the entire building cleaner, why not make the machinery itself as clean as possible?\r\n\r\nTalos is our proprietary tool-integrated purification system. It sits directly inside semiconductor equipment and continuously destroys airborne molecular contaminants before they reach the wafer. Instead of fighting contamination by constantly flooding tools with ultra-high-purity nitrogen, Talos keeps the environment inside the machine 10–100x cleaner, without the massive purge-gas bill.\r\n\r\nTalos is powerful on its own, but it is also the foundation for a much bigger vision: the Cleanpipe.\r\n\r\nThe Aerogen Systems Cleanpipe is an ultra-clean interconnect infrastructure that protects wafers as they move from machine to machine across the fab. Rather than relying on a billion-dollar cleanroom to protect every cubic foot of factory space, Cleanpipe creates a controlled environment only where cleanliness actually matters: around the wafer.\r\n\r\nTalos cleans the tools. Cleanpipe connects them. Eventually, we delete the cleanroom and build more advanced chips, at greater scale, with radically less infrastructure. With cleanpipes connecting tools, chip fabs can exist anywhere.",
    "one_liner": "Modernizing Chip Manufacturing Infrastructure",
    "team_size": 4,
    "industry": "Industrials",
    "subindustry": "Industrials",
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        "full_name": "Noah Vogel",
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        "founder_bio": "Founder & CEO at Aerogen Systems. Previously engineering intern at SpaceX building Starship actuators and at Draper developing advanced mission simulators. BSE Aerospace Engineering from University of Michigan.",
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        "full_name": "Colin Lavery",
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      {
        "id": 111026,
        "title": "Aerogen Systems: Building Chip Fabs Without Cleanrooms",
        "tagline": "Redefining the architecture behind chip manufacturing",
        "body": "Hi YC!\n\nWe’re [Noah](https://www.linkedin.com/in/noahvogel/) and [Colin](https://www.linkedin.com/in/colin-lavery-67b7512a3/), the founders of [Aerogen Systems](https://www.aerogensystems.com/). We’re building the next generation of clean infrastructure for chip manufacturing.\n\n**TL;DR:** Aerogen Systems makes semiconductor tools clean themselves. Talos, our tool-integrated purification system, continuously destroys airborne contaminants around the wafer, creating 10–100x cleaner tool environments while reducing dependence on ultra-high-purity nitrogen. Over time, Talos becomes the foundation for the Cleanpipe, an ultra-clean interconnect network that lets wafers move between tools without depending on the surrounding cleanroom.\n\n<https://www.youtube.com/watch?v=5yBzBCzwFV8>\n\n# **The Problem**\n\n**Chip features keep getting smaller, but cleanrooms do not scale with them.**\n\nSemiconductor manufacturers spend billions building enormous cleanroom facilities, then spend even more trying to isolate their most advanced wafers from the environment they just built.\n\nAs features approach the atomic scale, trace airborne contaminants that were once tolerable can create defects, reduce yield, and disrupt some of the most sensitive manufacturing processes on Earth. Yet the industry's answer has largely been more of the same: cleaner facilities, more filtration, and more ultra-high-purity nitrogen flooding sensitive equipment.\n\n**The proof is in the yield numbers.** 2026 reporting puts Intel’s 18A program between roughly 50% and 65% yield as it pushed the node toward high-volume production. With global semiconductor sales projected to reach **$1.5 trillion** in 2026, every percentage point matters. Improvements in yield and manufacturing efficiency can represent tens of billions of dollars in value.\n\n# **The Solution**\n\nAt Aerogen Systems, we think the industry is approaching this problem backwards.\n\n**The whole factory does not need to be a massive cleanroom.** Only the environment immediately surrounding the wafer does.\n\nTalos is our proprietary, tool-integrated purification system. It sits directly inside semiconductor manufacturing equipment and continuously recirculates and purifies the environment around the wafer. Instead of constantly replacing contaminated gas with more ultra-high-purity nitrogen, Talos destroys contaminants at the point of use, offering 10–100x cleaner tool environments while dramatically reducing dependence on purge gas and consumable filtration.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/a095a4e2-31a2-4307-b8f1-bca417cb27d7)\n\n_1. Rendering of standalone Talos unit._\n\nBut Talos is only part of the vision.\n\nWith tool-integrated purification units as a foundation, we build **the Cleanpipe: ultra-clean interconnect infrastructure** that protects wafers as they move from machine to machine across the fab. Talos cleans the tools. The Cleanpipe connects tools to each other. Together, they delete the cleanroom and all the expenses that come with it.\n\n# **What We’ve Built**\n\nTalos has progressed through multiple generations of hardware development and is protected by patent-pending IP. We’ve validated the core purification architecture and are now working toward tool integrations, pilots, and commercial deployments with semiconductor manufacturers and equipment companies.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/a8596c2c-c29b-4271-8d92-85672dce0dc1)\n\n_2. Test results showing Talos bringing industry-standard 6N purification levels down to 8N — a 100x improvement in cleanliness._\n\nThe next step is connecting these purified environments together through the Cleanpipe, creating an ultra-clean path around the wafer from tool to tool and ultimately removing the need to maintain the entire fab as one enormous cleanroom.\n\n# **The Team**\n\nAerogen Systems started as a NASA-backed research group at the University of Michigan, where our team developed the underlying purification technology. \n\nWe have spent the last several years designing, testing, patenting, and rebuilding this technology for extreme manufacturing environments.\n\n* Noah, CEO, worked in manufacturing engineering at SpaceX, where he focused on production rate and yield improvement for the Starship program.\n\n\n* Colin, CTO, previously built advanced particle detectors at H3D and led the team through the earliest design cycles of Talos.\n\n![uploaded image](/media/?type=post&id=111026&key=user_uploads/3388722/4db2a255-30a8-44ee-928b-b07425918094)\n\n# **Our Ask**\n\nWe want to meet semiconductor fabs, equipment OEMs, and manufacturing teams interested in pilots, tool integrations, and commercial deployments. If this sounds like you, please reach out to [hi@aerogensystems.com](mailto:hi@aerogensystems.com)!\n\nWe are building toward a world where fabs no longer need billion-dollar cleanrooms to manufacture the world’s most advanced chips.",
        "url": "https://www.ycombinator.com/launches/Ssk-aerogen-systems-building-chip-fabs-without-cleanrooms",
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        "created_at": "2026-08-18T21:15:05.234Z"
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    "id": 32617,
    "name": "Whitespace",
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    "website": "https://whitespacehq.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Whitespace builds AI agents that run the entire operation of supply chain businesses, starting with wholesale distributors. We give them self-improving AI agents that learn their business and do work like inventory planning and customer service.\r\n\r\nWe're building towards a world where all supply chain operations run through our agents, and all physical goods purchases can happen across businesses without human touch.",
    "one_liner": "AI Operating System for Wholesale Distribution",
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    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1782389037,
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        "full_name": "Alex Tung",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Whitespace. First non-engineer hire at Ankar (Index-backed), scaling it to 7-figure ARR in under a year. Previously BCG, deploying AI at F500 distributors. Cambridge Economics.",
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        "full_name": "Leon Yao",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Whitespace. Previously Research Engineer at InstaDeep, running 7-figure supply chain AI deployments for F500 enterprises. UCL Machine Learning, publishing AI papers at IROS (top-3 robotics conference) as an undergrad.",
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      {
        "id": 105676,
        "title": "Whitespace: AI Operating System for Wholesale Distributors",
        "tagline": "We help wholesale distributors grow 100x with AI agents that learn their business and do the work.",
        "body": "Hey everyone 👋 We’re [Alex](https://www.linkedin.com/in/alexyctung/) and [Leon](https://www.linkedin.com/in/linghong-yao/) - cofounders of [Whitespace](https://whitespacehq.ai/).\\\n\\\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents to do work like inventory planning, customer service, and order processing.\n\n**Problem**\n\nWholesale distribution is a $60 trillion global industry that touches one in every five dollars of global output. Yet it still runs largely manually. At a typical wholesale distributor, 30-50% of staff are dedicated to back-office tasks.\n\nThey spend their days on email, spreadsheets, and legacy systems, relying on tribal knowledge in their heads. Businesses cannot scale without hiring, and training a new hire takes >6 months.\n\nA quote from one of our customers really brings this to life: “I have 6 reps typing 600 lines of orders from email into the ERP every day. Everyone is inside our ERP and spreadsheets, copying data from one place to another.”\n\n**Solution**\n\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents. \n\nWe’re already working with wholesale distributors in sectors including industrial supplies and building materials to set up agents for processes like:\n\n* **Inventory Planning.** Forecasts product demand, recommends reorder quantities against stock levels, and learns over time from actual demand.\n* **Customer Service.** Monitors inboxes for support queries, digs through systems to find answers, and responds with human oversight.\n* **Order Processing.** Monitors inboxes, enters orders into the ERP, flags exceptions to humans, and learns from their corrections.\n\n<https://youtu.be/4UxlKKXrgfI?si=EwGhX1LCTGyauuw6>\n\n**Team**\n\nBoth our families ran wholesale distribution businesses, so we grew up seeing the inefficiencies and the opportunities firsthand.\n\n[Alex](https://www.linkedin.com/in/alexyctung/) advised F500 manufacturers and distributors on tech/AI at BCG, took a startup from launch to 7-figure ARR in a year as its first non-engineering hire, and graduated top of his college at Cambridge.\n\n[Leon](https://www.linkedin.com/in/linghong-yao/) built AI products for F500 logistics distribution companies at InstaDeep, published first-author RL papers at tier-1 conferences, and previously founded an EdTech startup that served thousands of users worldwide.\n\nWe’ve been best friends for 12 years since high school. We’ve lived and worked together, and are now tackling a challenge close to our hearts.\n\n![uploaded image](/media/?type=post&id=105676&key=user_uploads/2335228/2d187648-e6e7-4b98-8101-407f5e7aefee)\n\n**Ask**\n\nWe would appreciate intros to wholesalers or distributors at [alex@whitespacehq.ai](mailto:alex@whitespacehq.ai)",
        "url": "https://www.ycombinator.com/launches/RUS-whitespace-ai-operating-system-for-wholesale-distributors",
        "votes": 11,
        "created_at": "2026-07-16T14:54:16.399Z"
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        "full_name": "Subham Kundu",
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        "title": "Akon Labs: We're building the most token-efficient coding agent in the world",
        "tagline": "GitNexus gives coding agents a map of your codebase, so they stop burning tokens looking for it.",
        "body": "##### We're building the most token-efficient coding agent in the world. The reason it works is GitNexus, our open-source knowledge graph for your codebase.\n\n<https://youtu.be/-ErU4cCRSlQ>\n\n##### The problem\n\nCoding agents don't understand your repo. They grep, they guess, they re-read the same files, and they stuff half your codebase into a context window hoping the answer is in there somewhere. You pay for every one of those tokens, and the agent still misses the cross-file relationship that mattered.\n\nThe bottleneck isn't the model. It's context.\n\n##### What we built:\n\nGitNexus indexes your repository into a knowledge graph (symbols, call paths, imports, ownership, history) and serves the agent exactly the context a task needs, instead of everything it might need.\n\nIt's one connected stack:\n\n* The knowledge graph. Run npx gitnexus analyze and you have it\n* A coding agent that runs on top of it\n* Automated PR review grounded in the same graph\n\n![uploaded image](/media/?type=post&id=110659&key=user_uploads/1607382/1d3e51af-d3b5-4ee6-b0c3-b80bc4337c3e)\n\n##### The proof:\n\nOn the DeepSWE benchmark, we ran the same agent with our graph and without it:\n\n* 37% to 68.4% pass rate. Nearly twice the bugs solved\n* Half the cost per fix, with fewer tokens\n* On the hardest tasks, the gap more than triples\n\nFull methodology and results: <https://www.akonlabs.com/benchmarks>\n\n##### Where we are:\n\n* 45,000+ GitHub stars\n* 65,000 weekly npm downloads\n* 10+ enterprises onboarded\n\n##### About the team:\n\nSubham Kundu and Abhigyan Patwari have spent nearly half a decade working on knowledge graphs. Between them, they've been founding engineers, CTOs, and principal AI engineers, taking products from 0 to 100 at multiple startups. Subham is a seasoned engineer who has scaled products to millions of users, won multiple hackathons, and doing a PhD in reinforcement learning. Abhigyan is a seasoned technologist and serial open source contributor, with involvement across multiple open source projects.\n\n##### Run it in your way:\n\nManaged, or fully sovereign. Self-hosted, air-gapped, nothing leaves your network.\n\n##### Looking to cut your coding agent bill?\n\nIf you want to lower your coding agent spend without giving up frontier performance, sign up at <https://www.akonlabs.com>. We'll get you set up on your own repo and show you the before-and-after on your actual token costs.\n\n##### Our other asks\n\n* Try the open-source version. Run npx gitnexus analyze. Takes a minute\n* Intros. Engineering leaders where agent cost or code-context quality is a real line item, especially in regulated or air-gapped environments\n* Tell us where it breaks. Weird monorepos and polyglot repos are the most useful feedback we get\n\nGitNexus, by Akon Labs. The nervous system for agent context.\n\nContact us at: [founders@akonlabs.com](mailto:founders@akonlabs.com)\n\nWebsite: [https://www.akonlabs.com](https://www.akonlabs.com/)\n\nLinkedin: [https://www.linkedin.com/company/akon-labs](https://www.linkedin.com/company/akon-labs/)",
        "url": "https://www.ycombinator.com/launches/Smp-akon-labs-we-re-building-the-most-token-efficient-coding-agent-in-the-world",
        "votes": 45,
        "created_at": "2026-08-17T19:30:00.167Z"
      }
    ]
  },
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    "id": 32620,
    "name": "Gradon",
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    "website": "https://heygradon.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Gradon is Legora for the firms that design the world's buildings and infrastructure. Every road, bridge, water system and building starts with engineers, and there aren't nearly enough of them for everything the world needs to build. \r\n\r\nGradon works across every workflow and tool an engineering firm runs on, from CAD design and calculations to full plan sets, and firms using it today have decreased average project times by more than 75%. We're building the platform that makes every engineer a 10x engineer, and with it, how the world gets built.",
    "one_liner": "Legora for AEC (Architecture, Engineering, & Construction) firms",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1784444284,
    "tags": [
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      "AI"
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    "batch": "Fall 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/gradon",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/gradon.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/heygradon",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
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    "founders": [
      {
        "user_id": 2705364,
        "full_name": "Nour Zahzah",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Gradon (YC F26). MechE at UC Berkeley. Previously founded a company building in-store AI shopping assistants for retailers and did mechanical design for startups. Played professional academy soccer at SJ Earthquakes for 7 years. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nourzahzah",
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      {
        "user_id": 1301156,
        "full_name": "Yousef Helal",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Gradon (YC F26). I graduated top of my class from UC Berkeley at 19, and then went and got an MS from Stanford.\n\nI previously designed software and hardware at Apple (FPGA infrastructure) and AMD (Microblaze V), and then founded a startup building in-store AI shopping assistants for retailers. Before that, my teachings methods as a TA at Berkeley won awards and got published in a paper.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yousef-helal",
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    "launches": [
      {
        "id": 121714,
        "title": "Gradon: Legora for AEC (Architecture, Engineering, & Construction) firms",
        "tagline": "The AI partner that makes every engineer 10x.",
        "body": "Hey everyone 👋 We're Nour and Yousef, co-founders of Gradon.\n\nTL;DR: Gradon is the AI partner for AEC (Architecture, Engineering, Construction) firms. Engineers send it work the way they'd message a teammate, and it works across every workflow and tool the firm runs on, from CAD design and calculations, to reports and full plan sets. Firms using it today have decreased average project times by more than 75%.\n\n<https://www.youtube.com/watch?v=aTg6ne4z_aU>\n\n### How Gradon Works\n\n* Message it like a teammate. Type or talk to it, or share your screen and walk it through a problem. It takes the task from there.\n* It works the firm's way. Before Gradon ever touches a project, a firm brain is built, that learns the firm's past work and standards, so everything comes out just the way their team would do it.\n* It works inside their tools, from CAD design, to analysis software, and anything in between. No new system to move into.\n* Engineers stay in charge. Every deliverable comes back for review, and nothing changes until the engineer approves it.\n* Every discipline. Civil, structural, MEP, architecture and more.\n\nWe're also each firm's AI partner, not just another piece of software. We fly out and work one-on-one with each firm's engineers until they're getting the most out of it. After that, we continuously host office hours, lunch-and-learns and more, to make sure firms always stay on the frontier.\n\n### Why Now\n\nAI is the biggest change to engineering since CAD. The demand to build has never been higher, and the number of engineers can't keep up. The next great engineering firms will be the ones where every engineer has Gradon behind them.\n\n### Who We Are\n\nWe've known each other since kindergarten.\n\n* Nour (CEO) studied Mechanical Engineering at Berkeley and worked as a mechanical design engineer. Before startups, he played professional academy soccer for the San Jose Earthquakes for 7 years.\n* Yousef (CTO) graduated high school at 15, then earned a Bachelor's in EECS from Berkeley and a Master's from Stanford. He previously built FPGA infrastructure at Apple and worked on chip design at AMD.\n\n### Our Ask\n\n* If you run an engineering firm, book a demo today to see how Gradon can transform your firm to become AI-native.\n* Intros to owners and principals at civil, structural, MEP or architecture firms. We compensate for successful referrals.\n\nReach us at [heygradon.com](http://heygradon.com) or [nour@heygradon.com](mailto:nour@heygradon.com)",
        "url": "https://www.ycombinator.com/launches/Vf8-gradon-legora-for-aec-architecture-engineering-construction-firms",
        "votes": 7,
        "created_at": "2026-10-13T17:00:00.164Z"
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    "id": 32622,
    "name": "Rational",
    "slug": "rational",
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    "website": "https://rational.to",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rational is building the first accounting firm with no humans. It's entirely run by our AI employees, who go from client intake to doing the books to filing with the IRS. We secure 90% cost reduction, 24/7 support, and an overall seamless experience for businesses.",
    "one_liner": "First Zero-human Accounting Firm",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784172515,
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rationalto",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1591705,
        "full_name": "Jibril Moinuddin",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Rational. Previously founding engineer at Buckeye AI, TrueFoundry. Founded STEMplicity Education. Dropped out of University of Michigan. Non-Trivial Fellow.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jibril-moinuddin-32702b271/",
        "x_url": "https://x.com/JibrilAsif",
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      },
      {
        "user_id": 3411828,
        "full_name": "Christ Xu",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Rational. Prev Youngest Tencent Senior SWE.  2x IOI Camp, IMO Camp, published algo researcher.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christ-xu-687868298",
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    "jobs": [
      {
        "id": 106940,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 106941,
        "title": "Machine Learning Researcher ",
        "url": "https://www.ycombinator.com/companies/rational/jobs/vRTNbJi-machine-learning-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      {
        "id": 106942,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/rational/jobs/6ycNzJc-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      {
        "id": 106944,
        "title": "Applied AI",
        "url": "https://www.ycombinator.com/companies/rational/jobs/u1XiPpU-applied-ai",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [
      {
        "title": "Rational Launches AI Employees for Accounting Firms",
        "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/",
        "date": "Jul 17, 2026"
      }
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    "launches": [
      {
        "id": 114437,
        "title": "Rational - First Zero-human Accounting Firm",
        "tagline": "Agents will be trusted.",
        "body": "<https://www.youtube.com/watch?v=IX4-sMxdslk>\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] <https://www.thriveholdings.com/long-humans>. A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.",
        "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm",
        "votes": 22,
        "created_at": "2026-09-09T19:03:11.387Z"
      },
      {
        "id": 112573,
        "title": "Rational - AI Employees for Accounting Teams",
        "tagline": "AI employees for in-house accounting teams",
        "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n<https://youtu.be/IYdMo3m6_Es>\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).",
        "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams",
        "votes": 3,
        "created_at": "2026-08-28T16:00:00.566Z"
      },
      {
        "id": 106060,
        "title": "Rational: AI Employees for Accounting",
        "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack",
        "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n<https://youtu.be/mcF30tmNLTg>\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at <https://rational.to/book-demo>.\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.",
        "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting",
        "votes": 18,
        "created_at": "2026-07-17T17:45:59.589Z"
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    "id": 32627,
    "name": "Tenor",
    "slug": "tenor",
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    "website": "https://heytenor.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tenor is a full-stack infrastructure for building and running AI-native businesses. We’re not just an agent framework, we manage the entire loop from how AI executes work to how every action, decision, and business outcome is captured and learned from. Owning the full stack lets companies deploy governed AI workflows, understand what actually drives results, and continuously improve how their business operates without building the infrastructure themselves.",
    "one_liner": "Infrastructure for building and scaling AI-native businesses.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
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      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/tenor",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/heytenor/",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 536910,
        "full_name": "Hamze Al-Zamkan",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ Tenor",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hamze-al-zamkan/",
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        "user_id": 2719109,
        "full_name": "Amgad Al-Zamkan",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder @ Tenor.\nPreviously at Amazon, studied CS at UC Berkeley and TUM. As a grad student, Amgad's research focused on recommendation algorithms and shaping adaptive decision systems.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/amgad-al-zamkan/",
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      {
        "user_id": 989310,
        "full_name": "Muhtasham Oblokulov",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder @ Tenor. \nEarly contributor to DeepSeek and co-author of the highly cited StarCoder series and CodeClash with Stanford University. Previously deployed large-scale AI systems across global reinsurance markets.",
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    "launches": [
      {
        "id": 110150,
        "title": "Tenor: AI that owns jobs end-to-end and is accountable for business outcomes.",
        "tagline": "Deploy AI that owns complete jobs and are measured against predefined outcomes and KPIs. Tenor's AI operates across your tools and improves its decisions with every outcome to drive better results. ",
        "body": "**TL;DR:**\n\nThe defining resource of the internet was page views. The defining resource of AI is tokens. But while companies can measure exactly what their tokens cost, they still can’t easily tell what those tokens produced. \\\nTenor connects the two. Every piece of AI work starts with an outcome and a budget. Tenor tracks the resources spent against the result produced, learns from that result, and helps determine where the next tokens should go.\\\nThat’s the bigger opportunity: not just attributing AI spend, but allocating machine intelligence toward what creates value. Once a company knows where its tokens make money, it can do more of what works, less of what doesn’t, and continuously reshape itself around where AI creates value.\n\n## 🤯 The Problem\n\nWhile companies have become good at measuring AI consumption, they still can’t tell what that intelligence produced in business value.\\\n\\\nThe internet went through a similar transition.\n\nIts defining resource was page views. Early on, advertisers could buy impressions and measure exposure. Search advertising changed the model by connecting spend to intent and outcomes. Google then turned that into an engine for allocating dollars toward what performed.\n\nAI is still early in that transition. Companies deploy copilots, agents, and automations across the organization. Each produces activity and consumes tokens. But the economic context usually lives somewhere else.\n\nWhat was this intelligence supposed to accomplish? What changed because it ran? Was the outcome worth what it cost? Should the next token go here or somewhere else?\n\nWithout those answers, AI remains largely a software expense: something companies buy and monitor rather than a resource they can economically allocate.\n\nAnd the bigger loss isn’t wasted tokens. It’s lost learning.\n\nMillions of pieces of work happen, outcomes disappear into different systems, and very little of that experience determines how the next unit of intelligence gets deployed.\n\n### ⚙️ The Solution\n\nTenor starts with the outcome.\n\nBefore intelligence is deployed, the work gets an economic identity: what it owns, what success means, what it can spend, which systems it can act on, and when humans need to intervene.\n\nNow every token is spent in service of something measurable.\n\nSo instead of: This agent consumed X.\n\nYou can ask: What did X produce?\n\nThat closes the loop: allocate → work → outcome → attribute → learn → reallocate\n\nAttribution tells you what worked. Allocation is what makes that knowledge valuable.\n\nWork that produces value can receive more intelligence. Work that doesn’t can be changed, rebuilt, or stopped. Every outcome improves the next allocation decision.\n\nOver time, that feedback loop reaches beyond individual workflows.\n\nResponsibilities move. Processes disappear. New ones emerge. Software changes around the work. The organization gradually restructures itself around where machine intelligence produces the greatest value.\n\nThat’s what we’re building Tenor for: not just to measure the token economy, but to give companies the machinery to operate inside it.\n\n## 👋 Team\n\nMuhtasham Oblokulov — AI researcher, 3,000+ citations, ICML-published. Former Senior ML Engineer at Munich Re, where his models drove $1B in revenue.\n\nHamze Al-Zamkan — President of [TUM.ai](http://TUM.ai), which he grew into Europe's largest student-led AI organization and a talent pipeline for Munich's AI ecosystem. Deployed AI systems at appliedAI, and worked on growth at Voggt and Terra. Studied CS at TUM and CDTM.\n\nAmgad Al-Zamkan — Studied CS at TUM and UC Berkeley. Researched adaptive decision systems. Automated judgment-heavy work at Amazon.\n\n![uploaded image](/media/?type=post&id=110150&key=user_uploads/2719109/0a5e6384-5ed4-4345-9e88-5c3114a5ebe0)\n\n## 🙏 Our Ask\n\nIf your AI spend is growing and your company isn't visibly getting better at its work every week, that gap is our market.\n\nWant to see what the work produces? email [hamze@heytenor.com](mailto:hamze@heytenor.com)",
        "url": "https://www.ycombinator.com/launches/Sec-tenor-ai-that-owns-jobs-end-to-end-and-is-accountable-for-business-outcomes",
        "votes": 50,
        "created_at": "2026-08-12T00:00:00.512Z"
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    "name": "Risklytics",
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    "website": "https://www.risklytics.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Risklytics is the insurance company for frontier tech such as physical AI, robotics, and data centers. Companies answer 6 questions and we bind a tailored policy that other insurance companies won’t.",
    "one_liner": "AI-Native Insurance for Frontier Tech",
    "team_size": 2,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
    "launched_at": 1783123197,
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    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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        "full_name": "Samuel Gold",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Risklytics (YC S26). Building a brokerage for frontier tech. On leave from Harvard.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/samuelggold",
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      {
        "user_id": 2666435,
        "full_name": "Alexander Risio",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Risklytics (YC S26). Building a new type of insurance brokerage.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexanderrisio/",
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      {
        "id": 110197,
        "title": "Risklytics: Insurance for the Frontier",
        "tagline": "Insurance for companies pushing the frontier of what is possible with AI, from robot fleets to agents in production.",
        "body": "**TLDR:** Risklytics is a commercial insurance brokerage for companies building with AI in the physical space, from robot fleets on customer sites to agents running in production. This year many insurance companies stopped covering risks that involve AI. We find the insurers that will still cover it, translate what you're building into terms they can price, and read every clause before anything is signed.\n\n<https://www.youtube.com/watch?v=jHTzpKbmZa4>\n\n**The problem**\n\nStarting this year, many insurance companies began excluding coverage for injury and property damage arising out of AI.\n\nFor a hardtech company that language reaches everything you do. If AI touched the work anywhere, including the tools your engineers designed it with or the product itself, the insurer can deny the claim.\n\nThe problem with these exclusions is that they get added account by account, so the same hardware can be covered at one insurer and excluded at the next, and nothing in the process makes that obvious. It shows up as a form number on the endorsement list attached to your renewal, which is why most founders don't learn they have one until they file a claim.\n\n**Why now**\n\nPhysical AI is scaling faster than the insurance market underneath it. Insurance moves slower, and its first instinct with an unfamiliar risk is to exclude it and wait for loss data. Cyber went the same way: exclusions first, then specialists who understood it, then a real market. AI is at the exclusion stage now, and these companies pushing the frontier can't wait for the cycle to finish on its own. \n\n**What we do**\n\nWe handle the whole coverage process end to end.\n\nYou send us an application. We take what you're building and put it in terms an insurance company can understand and price.\n\nThen we go to market. We have access to hundreds of insurance companies, the ones that actually write this kind of risk, and we take your file to them. Most will pass. The few that want it compete on price and terms, and we keep shopping until every requirement you have is met, including the limits your customer contracts demand.\n\nWhen offers come back we read the policies line by line. If an AI exclusion is attached, we push to get it removed, or we find a company that writes the AI coverage in on purpose. Then we tell you in plain terms what you've got.\n\nWe cover the lines your company actually needs: general liability, umbrella, property, equipment in transit and on customer sites, workers' comp, professional liability, management liability, and cyber.\n\nYou never pay us. The insurance company pays us a commission out of the premium when a policy is placed, so applying costs you nothing and there's no additional fee from us at any point.\n\n**Where this goes**\n\nPhysical AI is expanding faster than any industry, and every company in it buys insurance every year for as long as it exists. The programs grow as the fleets grow.\n\nWe want to be the brokerage that grows with them: the people who know this risk best, hold the relationships with the markets that write it, and build the loss data of the future.\n\n**Why us**\n\nWe're Sam and Alex, on leave from Harvard. We were already in insurance building models when we noticed that batch mates building some of the most innovative technology in the world couldn't get covered at all. Since then we’ve landed partnerships to offer these frontier companies easier access to better policies.\n\n![uploaded image](/media/?type=post&id=110197&key=user_uploads/2666435/74c5c462-a2ff-44b8-ac6c-f8ebc7807dbd)\n\n\n**The ask**\n\nIf you're building anything on the frontier, apply at[ risklytics.ai](http://risklytics.ai). It takes a few minutes, it costs nothing, and we'll come back with what the market says.\n\nIt doesn't matter what you have in place today. If you're building, we want to get you covered.\n\nAnd if you're an insurer, MGA or wholesaler with appetite here, we want to talk:[ risklytics.ai/markets](https://www.risklytics.ai/markets/)",
        "url": "https://www.ycombinator.com/launches/SfN-risklytics-insurance-for-the-frontier",
        "votes": 53,
        "created_at": "2026-08-13T16:30:00.597Z"
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    "name": "LATO",
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    "website": "https://www.latolabs.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The best investments come from conviction, and conviction comes from understanding a market deeply: its customers, its competitors, and where it's heading.\r\n\r\nToday that understanding is slow and expensive to build. Reaching the right people takes weeks, a commercial study costs $300k+, and each one starts from scratch.\r\n\r\nLATO does this research end-to-end, combining public data and the fund's own knowledge with first-hand interviews of a market's consumers, experts, and operators. \r\n\r\nThis research grounds a simulation of the market to predict how market participants behave.",
    "one_liner": "Predict how market participants behave",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782190140,
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      "Investing",
      "Market Research",
      "AI"
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/lato",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lato",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 3156352,
        "full_name": "Tymek Staniszewski",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at LATO - we predict how market participants behave\nPreviously 6 years in private equity at Verdane ($11B AUM)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tymeks/",
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      {
        "user_id": 2539014,
        "full_name": "Tien Chu",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at LATO (S26), the agent-native research and simulation platform for investors. Previously ML and SWE across enterprise R&D, research labs, and early-stage startups. Studied CS, Math, and Philosophy at University of Warsaw.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chutien/",
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      {
        "id": 110614,
        "title": "LATO - Research any company or market in days",
        "tagline": "LATO enables private equity investors to do commercial due diligence in days",
        "body": "[ ](https://youtu.be/1I4wuRJqanE)\nThis year alone, private equity deployed over $1 trillion. To get conviction on a deal, investors run commercial diligence - it costs c.$500k and takes weeks.\\\n\\\nOur agents source and interview hundreds of experts in any language at scale.\\\nThey combine this expert knowledge with public and proprietary data to deliver fully traceable reports.\\\n\\\nWe already work with leading funds that push the frontier.\n\nIf you are spending too much time and capital on this - schedule a demo at: <https://www.latolabs.io/book>\\\n\\\nWe'd love to show you how the future looks.",
        "url": "https://www.ycombinator.com/launches/Sm6-lato-research-any-company-or-market-in-days",
        "votes": 20,
        "created_at": "2026-08-17T19:00:00.215Z"
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    "id": 32716,
    "name": "Neuromorphic",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are building robots that can work autonomously in existing wet labs. Unlike traditional lab automation, which requires dedicated equipment and fixed workflows, our robot moves between workstations, manipulates existing scientific equipment, transports lab materials, and executes experiments using the same lab infrastructure as a human technician. We make the robots easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs as easy as onboarding a new employee, and to accelerate scientific research!",
    "one_liner": "Building robots to automate wetlabs",
    "team_size": 3,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1786056544,
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    "country": "US",
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      "name": "Diana Hu",
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        "user_id": 3607343,
        "full_name": "Vatan Aksoy Tezer",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Neuromorphic. Previously Lead Robotics Engineer at Augmentus, deploying motion planning algorithms to production with sub-mm accuracy and leading a team of 5. Before that, built navigation stacks from scratch at KABAM Robotics (deployed 100+ robots) and scaled ASRS systems at Rapyuta Robotics (1000+ robots to production). Core maintainer of MoveIt at PickNik Robotics. MS in CS from Sabanci University, BS in Astronautical Engineering from Istanbul Technical University.",
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      {
        "user_id": 2794176,
        "full_name": "Ege Doganay",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Neuromorphic (YC S26). Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT, Stanford XR, MIT Reality Hack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ege-doganay/",
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      {
        "user_id": 3316337,
        "full_name": "Cem Toker",
        "title": "Founder/COO",
        "founder_bio": "Founder at Neuromorphic. Co-founded ErgoFlow, building LLM routing and training acceleration. Previously developed static calibration algorithms for industrial robots at Zeeko achieving 30% higher precision. Engineering at Cambridge. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cem-seref-toker",
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      {
        "id": 112214,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/neuromorphic/jobs/eae51Em-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$100K - $150K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "CAD Design"
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    ],
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      {
        "id": 109550,
        "title": "Neuromorphic - Building an embodiment-agnostic “brain” that makes robots fast to deploy",
        "tagline": "We make robots smarter, and faster to deploy. Starting with wet labs!",
        "body": "Hi everyone! We’re Cem, Ege, and Vatan, the founders of Neuromorphic 👋\\\n\\\n**TL;DR** Neuromorphic is building an embodiment-agnostic “brain” that makes robots fast to deploy, and easy to manage through natural interfaces like Slack, email, and phone. Our goal is to make deploying robots in wet labs and other physical industries as easy as onboarding a new employee.\n\n<https://www.youtube.com/watch?v=6T0BDyjakmo>\\\n\\\n**The Problem**\\\nTo make robotics mainstream, we believe two problems have to be resolved:\\\n1\\. Deployment: Robots are still too slow, expensive, and engineering-intensive to deploy and adapt to new tasks and environments.\\\n2\\. Interaction: Managing and controlling robots remains too technical.\\\n\\\n**What We’ve Built**\\\nNeuromorphic packages sensors, compute, and software into a “brain” that can be attached to any robot body. An onboard LLM orchestrator turns natural-language instructions into workflows made up of reusable robotic skills, such as navigating, picking up an object, opening a refrigerator, or inspecting an area. Individual skills can be of various types; they could be AI models we develop, like Vision-Language Models and Video Action Models, or just plain code. Sensor-based safety loops monitor every action to ensure reliable execution.\n\nWe are also giving robots emails, phone numbers, and Slack access to make human-robot interaction more intuitive than using dashboards. The robots then respond to queries and take actions using the onboard LLM.\\\n\\\n**Traction**\\\nWithin a week of our first conversation with a leading biotechnology company, we deployed our robot in their wet lab, which is capable of operating autonomously 24/7, and already completed over 1500 tasks.\\\n\\\n**The Team**\n\n![uploaded image](/media/?type=post&id=109550&key=user_uploads/3607343/b28b023b-f328-4c5d-9181-720e96e5b1a3)\n\n\\\nCem: Second-time founder and did robotics research at Cambridge University. Previously built LLM routing and training acceleration, and did precision robotics.\\\n\\\nVatan: Maintained multiple open-source robotics libraries, most notably MoveIt, one of the most popular motion-planning frameworks for robotics. Led various teams in robotics startups from Series A to Series C in Japan and Singapore. Deployed over a thousand robots.\\\n\\\nEge: Did Robotics and AI research at Bilkent University. Research fellow at Nanyang Technological University. Published research in top AI and robotics conferences. Won HackMIT in 2024.\\\n\\\nCem and Ege first met as teammates in the FIRST Robotics Competition. They reached out to Vatan for mentorship and robotics advice. We spent the next three years building robots and winning competitions together. We remained close and eventually reunited to start Neuromorphic!\\\n\\\n**Ask**\\\nWe're looking for warm intros to wet lab, biotech, and physical-industry operators. If you have a repetitive physical process and have wondered whether a robot could do it, email us at [founders@neuromorphic.vision](mailto:founders@neuromorphic.vision) or [book a call here](https://cal.com/team/neuromorphic/meet-the-founders-of-neuromorphic).",
        "url": "https://www.ycombinator.com/launches/SUw-neuromorphic-building-an-embodiment-agnostic-brain-that-makes-robots-fast-to-deploy",
        "votes": 73,
        "created_at": "2026-08-10T15:00:00.364Z"
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    "id": 32848,
    "name": "Luca IQ",
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    "long_description": "Luca IQ is an API for deterministic tax calculation and an IRS Authorized e-filing engine - the foundation for accounting firms and fintechs building on tax.",
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    "subindustry": "B2B -> Finance and Accounting",
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        "full_name": "Angelo Policicchio",
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        "full_name": "Akash Sadashivapeth",
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        "title": "Luca IQ receives IRS approval for federal 1040 e-filing",
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        "title": "Luca IQ - An API for U.S. tax calculation and e-filing",
        "tagline": "An open API, IRS-authorized e-file tax engine for CPA firms and Fintechs",
        "body": "# \\*\\*\\*\\*\n\n**TL;DR: We're building a modern tax engine for accountants and fintechs building on tax: a deterministic tax calculation and e-filing core behind a single API, built on the IRS's official e-file infrastructure (MeF).**\n\n## A tax return is math. It should be a function call.\n\nWe're Angelo and Akash, and we built Luca IQ, a new tax engine for accounting firms. One set of inputs in, a completed, filed return out in minutes. Not bolted onto decades out desktop software.\n\nFor CPA firms, that means more returns per preparer, less spend on labor, and a clean path off 30-year-old desktop software. For the PE groups acquiring and scaling firms, it means real operating leverage on the single most labor-intensive part of the business.\n\n<https://youtu.be/IV5nl7grMxI>\n\n**The problem.** \\~95% of US firms file their returns through just four companies, and all of them were built decades ago, for the desktop, and are closed. Firms are stuck running tax season on software that can't scale with them. Every modern AI tax tool just pushes data into that same closed software it can't control. Everyone rebuilt the interface.\n\n**What we built.** A new one, and we're opening it. A key principle: AI never does the tax math. AI and human judgment set the inputs, and a deterministic engine computes the return, with a full audit trail on every number. It's either 100% correct or it's wrong, and only a deterministic engine can promise the former. For firms, that means throughput without giving up accuracy or defensibility.\n\nOur core leverage: we're an **IRS-authorized e-file provider as a Software Developer, Transmitter, and Intermediate Service Provider**, so Luca IQ doesn't just compute the return, it e-files straight to the IRS. That full path, calculation through filing, is what firms can't get from a closed engine today.\n\n**Why now.** The profession is running out of people. 300,000+ accountants have left since 2019, and \\~70% of CPAs are near retirement. At the same time, private equity is rolling up firms and pushing hard on margin. The work isn't going away. The people are, and the pressure to do more with fewer preparers has never been higher.\n\n**Who we are.** Angelo (CEO) is a CPA who worked in forensic accounting with the FBI, Wall Street, EY and spent years working at tax firms using the legacy softwares we are now replacing. Akash (CTO) was employee #1 at a fintech data-infrastructure startup and leads engineering.\n\n**What we need:**\n\n* **CPA firms who dread tax season**, We'd love 20 minutes to show you what Luca IQ does for throughput and margin. This is who we build for.\n* **PE firms rolling up accounting practices.** If tax prep labor is your biggest cost line, let's talk.\n* **Developers and fintechs** who need 1040 calculations or e-filing. The engine is one API call, and you can build on it early.\n\nReach us at [founders@lucaiq.com](mailto:founders@lucaiq.com).",
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        "created_at": "2026-07-31T14:01:23.291Z"
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    "name": "Radley",
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    "website": "https://radley.health/",
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    "long_description": "Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.6M in annualized revenue and rebuilding it with agents from the ground up.\r\n\r\nRadiology is already in crisis: there aren't enough radiologists to interpret 1 in 6 medical scans. In 10 years, that gap is growing to 1 in 3 - 246M scans a year.\r\n\r\nFrom past experience, we know that point solutions won’t cut it. While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just software, it's outdated systems and slow, inefficient operations. That's why we own the full stack, clinical and operational, end to end.\r\n\r\nWe met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.",
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        "full_name": "Maryam Jahed",
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        "full_name": "Seak Meng Lay",
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        "id": 111044,
        "title": "Radley:  We're building the first full stack, AI-native radiology practice",
        "tagline": "We're redesigning the entire radiology operation to be AI-native from the ground up, unlocking scan capacity without adding radiologists. ",
        "body": "**TL;DR: We're Corgi for Radiology. The first AI-native full stack radiology practice. We’re acquiring a radiology practice bringing us to $4.6M in annualized revenue.** \n\n**Problem.** Radiology is already in crisis. The US needs 20% more radiologists to meet demand, and in 10 years that gap will reach 50% - 246M scans the workforce can’t handle. Agents can finally do most workflows. The industry is not moving fast enough to adopt it. \n\n**How we started.** Radiology is flooded with AI hype. We started riding that wave. But after digging into how these practices actually run, and drawing on our time scaling Carbon Health to 100+ sites, one thing became obvious: selling a dozen AI point-solutions and rolling them out department by department is too slow, and only adds incremental value. Building the whole practice in a AI-native way from day one is what’s needed. It solves the radiologist shortage directly instead of one contract at a time. This shift grew our market **21x**.\n\nSame insight Corgi had in insurance: don't sell software to the incumbent, become the AI-native incumbent.\n\nSo now we’re building the entire radiology workflow and business operations AI native and adding capacity without headcount. \n\n<https://www.youtube.com/watch?v=vgHtRDCB22Q>\n\n**Traction:**\n\n* **$4.6M annualized revenue**\n\n**Why us.** We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.\n\n**Our ask. Reach out if:**\n\n* You’re a **radiologist** who wants to work at and shape an AI-native practice\n* You can help connect us with an independent or hospital owned **imaging centers** struggling to keep up with radiology demand \n* Anyone who's building in **AI-native services**, we'd love to compare notes\n\nReach us at [founders@radley.health](mailto:founders@radley.health).",
        "url": "https://www.ycombinator.com/launches/St2-radley-we-re-building-the-first-full-stack-ai-native-radiology-practice",
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    "long_description": "Levocred AI build AI employees for lenders including credit funds, fintechs, credit unions & banks to automate operations like servicing/collections, underwriting, back-office tasks etc. ",
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        "full_name": "Mohit Gupta",
        "title": "Founder/CEO",
        "founder_bio": "Employee #1 at a credit fund that went from $10M to $1B AUM. Managed $200M at 23, evaluated $100B of loans. Ex Morgan Stanley fixed income. CS @ IIT Bombay, Finance @ UC Berkeley. Now building the Bloomberg of loans.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/guptamohit2299/",
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        "user_id": 1978755,
        "full_name": "Saksham Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Founding engineer at a credit fund, where he built and scaled the trading and data infrastructure as the fund grew from $150M to $1B+ in AUM. EE @ IIT Kanpur",
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        "linkedin_url": "https://www.linkedin.com/in/gupsak",
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        "title": "Levocred: AI platform for credit funds, fintechs and banks",
        "tagline": "AI for credit funds, fintechs and banks",
        "body": "---\n\n**TLDR:** Levocred AI (YC S26) is an AI-native platform for credit funds, fintechs and banks to automate workflows like back-office tasks, portfolio monitoring, compliance and underwriting. Live across multiple credit teams, running \\~$1Bn in receivables through the platform.\n\n\\*\\*Video:\\*\\*\\\n<https://youtu.be/OU_G096YPzo>\n\nThe winning teams will scale with token consumption, not headcount. Try it today: <https://www.levocred.ai/trynow>\n\n**The problem**\n\nCredit teams run on data scattered across 5-6 tools (CRM, LMS, data rooms, servicer reports) and endless spreadsheets. So highly-paid analysts become data janitors, copy-pasting between systems and rebuilding the same models — instead of the real job: underwriting and managing risk.\n\nIt's the same story across all of an analyst’s workflows (like new deals, monitoring, reporting, workouts). One example: to borrow against a credit facility (it’s like a credit card for fintechs with a limit typically in the $100Ms ), a team produces and verifies compliance certificates by hand. That's hours of Excel every time, so they draw less often than they should, leaving millions on the table.\n\n**What is Levocred?**\n\nLevocred is an AI employee for your credit team. It plugs into your loan tapes, credit agreements, servicer reports, and bank feeds, learns how you work, and runs the workflows your analysts do by hand today.\n\n* Analyzes new deals and drafts the investment memos\n* Monitors the portfolio, marks valuations, and answers questions in Slack (\"what's our exposure to X?\")\n* Produces and checks compliance certificates, and handles covenant and LP reporting\n\nWhy it works when nothing else has:\n\n* **It's AI-native, not a rules engine.** Older tools only work if you hand-code every rule, so they break on messy, real-world data. Levocred's agents read your actual documents and tapes and reason across them. We already run consumer, fintech, litigation finance, and MCA through the same engine.\n* **You stay in control** with full auditability and no waiting on a vendor's engineers\n* **It compounds.** Every document you load makes it smarter about your book. That data moat is yours. It’s why usage only grows.\n\nThe result: a draw that took a day of Excel takes minutes, monitoring runs continuously instead of monthly, and your team spends its time on judgment, not grunt work.\n\n**Team**\n\n* **Mohit Gupta (CEO)**: Studied CS at IIT Bombay (ranked 53rd of 1.2M in the JEE) and Finance at UC Berkeley. Founding engineer at a credit hedge fund, where he later managed a $200M book.\n* **Saksham (CTO)**: Previously Software Engineer at a credit fund, where he built and scaled infrastructure as the fund grew. Electrical &amp; Electronics from IIT Kanpur",
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        "votes": 5,
        "created_at": "2026-08-11T15:30:00.232Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "CarSignal is the AI-native operating system for independent auto repair shops.\r\n\r\nMost shops still run each repair across disconnected management software, scan tools, parts catalogs, service information, texts, spreadsheets, and knowledge kept in technicians’ heads. That fragmentation slows diagnosis, creates duplicate processes, and leaves customers waiting.\r\n\r\nCarSignal connects the full repair process in one system. AI agents research vehicle-specific failure patterns and surface the tests that confirm or rule out each cause. The same system carries each job from booking and intake through inspections, estimates, parts, approvals, payment, and follow-up, so technicians spend less time searching and updating systems and more time fixing cars.",
    "one_liner": "The AI Operating System for Auto Shops.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785653742,
    "tags": [
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    "url": "https://www.ycombinator.com/companies/carsignal",
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        "full_name": "Michael Muzzin",
        "title": "Founder/CEO",
        "founder_bio": "Founder at CarSignal (YC S26). Previously electrical engineering at NVIDIA, he authored the Factory Failure Disposition Guide governing re-qualification of $300M in HGX and DGX datacenter hardware. BSEE, UCLA.",
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        "user_id": 3485129,
        "full_name": "Junaid Popalzai",
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        "founder_bio": "founder at carsignal. prev netflix, notion, whatnot, tesla, amazon. eecs @ berkeley",
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        "linkedin_url": "https://www.linkedin.com/in/junaid-popalzai-8b3753273",
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    "launches": [
      {
        "id": 110407,
        "title": "CarSignal: The AI Operating System for Auto Shops",
        "tagline": "Your shop runs on one AI platform: booking, diagnostics, quoting, parts, and payments all in a single loop.",
        "body": "**TL;DR**:\\\nCarSignal is the AI Operating System for Auto shops. CarSignal provides a complete end to end operating system for mechanics and shop owners. We’re live in over 40 shops across 18 US states and are expanding everyday. \n\n<https://youtu.be/uXUU006Smeo>\n\n🤯 **The Problem**\n\nThe average auto repair shop in the US runs across multiple different systems, none of which talk to each other. With over 300,000 of these shops existing in the US, the problem is vast. Owners are trapped paying for a web of complex disjointed software in order to maintain basic functionality. \n\n🛠️ **The Solution**\n\nCarSignal fixes those discontinuities, streamlining recurring tasks that every shop runs daily. We deploy four Agents across the traditional auto shop stack to boost efficiency and lower lift time. A voice agent is deployed as the shop's receptionist, a custom OBD-II scanner provides factory level context to a diagnostic agent who aids in finding root cause issues in the vehicle. CarSignal also provides an estimate agent who finds real parts and labor times across wholesalers to give accurate estimates instantly, and a marketing agent who keeps track and reminds customers of overdue service and scheduled maintenance.\n\n👋 **Team**\\\nMichael Muzzin - UCLA Electrical Engineering, ex-Nvidia\n\nJunaid Popalzai - UC Berkeley EECS, ex- {Tesla, Amazon, Notion, Netflix}\n\n**Our Ask**\\\nIf you know a mechanic, or are a mechanic, book a demo! We’d love to show you what CarSignal is capable of.\n\ntrycarsignal.com/demo",
        "url": "https://www.ycombinator.com/launches/Sil-carsignal-the-ai-operating-system-for-auto-shops",
        "votes": 24,
        "created_at": "2026-08-17T16:30:09.423Z"
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  },
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    "id": 33047,
    "name": "Decawork",
    "slug": "decawork",
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    "website": "https://decawork.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "An agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Access decisions need to adapt in real time as the agent works, but companies can’t turn every business judgment into a fixed rules or have people manually approve every step.\r\n\r\nWe train small, company-specific models that approve AI actions in real time. They consider the company’s policies and interests, the agent’s current task, and its past actions to decide whether each proposed action should be allowed. Access is specific to the task at hand and reassessed as the agent works.\r\n\r\nCompanies will rent intelligence from AI labs or run open-source models to power their agents. They’ll own the models that keep their entire AI workforce acting in their interests. Decawork is building those models.",
    "one_liner": "Training company-specific models that approve AI actions.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1785265630,
    "tags": [
      "B2B",
      "Security",
      "Infrastructure",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/decawork",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/decawork.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/decawork-ai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1632535,
        "full_name": "Aman Raj",
        "title": "Founder/CEO",
        "founder_bio": "- Built AI compliance platform at Barclays used by internal teams globally\n- Founded a fintech and scaled it to 52K families and $1.5M AUM\n- Led product at a consumer AI startup, scaled to 100K+ MAU (Google Play Best App 2024)\n- IIT Kharagpur",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aman-raj-84636a158",
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      },
      {
        "user_id": 1049492,
        "full_name": "Sarthak Aggarwal",
        "title": "Founder/CTO",
        "founder_bio": "- AI systems at NVIDIA (deployed at OpenAI, Meta)\n- Enterprise AI at Ema (used by Microsoft, Hitachi)\n- Led Conquest, Asia's largest student-run accelerator\n- Google Code-In Global Winner + Open source since the age of 12\n- BITS Pilani",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sarthak-agg/",
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    "jobs": [],
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    "launches": [
      {
        "id": 109883,
        "title": "Decawork - Training company-specific models that approve every AI action",
        "tagline": "Our small AI models decide agent access in real time, task by task, based on your company’s interests.",
        "body": "Hi everyone 👋 - we're Aman and Sarthak, founders of Decawork.\\\n\\\n**TL;DR:** AI agents shouldn’t have permanent access to company systems. The same action can be appropriate for one task and wrong for another, but companies can’t turn every business judgment into fixed rules or manually approve every step. Decawork trains small, company-specific AI models that approve every agent action in real time, based on company policies and interests, the agent’s task, and its past actions. Access is granted for the task at hand and revoked when it’s done.\\\n\\\nLaunch video: [Watch it here](https://www.youtube.com/watch?v=SanpHIyFcV4)\\\n\\\n🚧 **The Problem &amp; Why now?**\\\nCompanies are putting long-running, more autonomous agents to work on broader tasks and goals. These agents need access to critical company systems, but their actions can be unpredictable and may not serve the company’s interests.\n\nOpenAI’s agents have already hacked Hugging Face during testing with reduced safeguards. Replit’s agent deleted data from a live application’s database.\n\nAn agent’s access should depend on the task it is doing. The same action can be appropriate for one task and wrong for another. Permanent access lets an agent keep using permissions even when they are no longer appropriate for its task.\n\nAs agents take on more work independently, access decisions need to happen in real time. But companies can’t turn every business judgment into a fixed rule or have people manually approve every step.\\\n\\\n✅ **How we solve this?**\\\nDecawork gives AI agents access for the task at hand and revokes it when the task is done.\n\n* Connect your agents. Route API requests and MCP tool calls through Decawork to see activity and manage access in one place.\n* Set company policies. Write policies in plain English, specify when human approval is required, and connect your existing identity and IT service management systems.\n* Deploy a company-specific policy model. We deploy small models that approve actions in real time using your company’s policies and priorities, task context, and past actions. Your agents do the work. Decawork evaluates each proposed action and enforces the access decision before it runs.\n\n🚀 **Team**\\\nSarthak built AI systems at NVIDIA that were deployed at OpenAI and Meta, and worked on enterprise AI agents at Ema.\n\nAman built the AI compliance platform at Barclays used by internal teams globally, then led product at a consumer AI startup serving 100K+ monthly users, hand-wiring credentials for the agents he shipped.\n\nEvery one of those deployments came down to the same questions: what can it access, who approved it, and what did it do? We kept solving agent access by hand - so we quit to build the system we wished we’d had.\n\n![uploaded image](/media/?type=post&id=109883&key=user_uploads/1632535/0ef2784e-ab45-422f-91b9-960473f11dd5)\n\n🙏 **Our Ask**\n\n* If you’re on an IT team or know someone who’s worried about AI agents accessing or misusing company systems, talk to us: <https://decawork.ai/cal> or [founders@decawork.ai](mailto:founders@decawork.ai)",
        "url": "https://www.ycombinator.com/launches/SaJ-decawork-training-company-specific-models-that-approve-every-ai-action",
        "votes": 152,
        "created_at": "2026-08-12T16:30:00.369Z"
      }
    ]
  },
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    "id": 33051,
    "name": "Tokenless",
    "slug": "tokenless",
    "former_names": [
      "Tokenless",
      "Touchy"
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    "website": "https://usetokenless.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tokenless is an applied AI research lab. Our goal is to end reward hacking. We do research and build tools to detect issues with environments and evals, understand model behavior in those environments, and prevent those issues from happening. Correcting them makes training more effective, makes model performance easier to interpret, and is crucial to solving the AI alignment problem.\r\n\r\nIf you’re training models with RL, building environments, or running agent evals, and want more confidence in your environments, we're here to help.",
    "one_liner": "We find flaws in RL environments and evals and help you fix them.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1786732497,
    "tags": [
      "Developer Tools",
      "Machine Learning",
      "Reinforcement Learning",
      "B2B",
      "AI"
    ],
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/tokenless",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/tokenless.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/usetokenless/",
    "x_url": "https://x.com/usetokenless",
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    "primary_partner": {
      "name": "Vivian Midha Shen",
      "url": "https://www.ycombinator.com/people/vivian-midha%20shen"
    },
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      {
        "user_id": 3697324,
        "full_name": "Rohit Agarwal",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless (YC S26). CS PhD student at Princeton PLI, Hazan Lab, Google Deepmind. Previously at Duolingo and theory research at Berkeley, was EECS #1 BS grad in 2024.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rohit-agarwal-b647951ba/",
        "x_url": "https://x.com/Rohit_Writes",
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      {
        "user_id": 3706728,
        "full_name": "Andrew Liu",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless (YC S26). Formerly a researcher at UC Berkeley working on language documentation tools. BA in Computer Science, Mathematics, and Linguistics from UC Berkeley. Previously TA'd CS61C.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/andrew-liu-b50873261/",
        "x_url": "https://x.com/landrew7363",
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      },
      {
        "user_id": 3732665,
        "full_name": "Kevin Wang",
        "title": "Founder",
        "founder_bio": "Founder at Tokenless. Prev MTS at SkyPilot building multi-cloud GPU infra for top neolabs, Founding Engineer at Eventual from seed to Series A building the data engine for physical AI, EECS at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinzhiwang/",
        "x_url": "https://x.com/kevzwang",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a21a2cf6802cfdcf6769408ee9d25a254858622.jpg"
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      {
        "id": 111407,
        "title": "Touchy 🙌: Voice-first AI Assistant for iPhone that understands the world around you",
        "tagline": "Your personal AI assistant that sees what you see, remembers what matters to you, and gets things done across all your tools. Just ask out loud.",
        "body": "**TL;DR:** We’re building Touchy 🙌, a voice and image-first AI assistant for the iPhone that personalizes itself to you. You can activate Touchy from your lock screen to instantly get things done across your apps or get answers about the world around you. Touchy is free to try, get it here: <https://apps.apple.com/us/app/touchy-ai-at-your-fingertips/id6798889392>\n\n<https://youtube.com/shorts/IJNucvAZ_-k>\n\n## **The Problem**\n\nYou probably know the feeling:\n\nYou ask the assistant on your phone, across the room, to send a colleague a message.\n\nIt cheerfully replies that it found 10 search results for “text Bob on Slack”.\n\nSo you trudge to your phone, find the app, open the DM, and begrudgingly type out your message instead.\n\nWe wanted a better personal assistant, one that had the intelligence and integrations we’ve come to expect from our AI agents, with the convenience of one that was native to your devices. We also believe that for AI to truly be personal, it needs to be deeply integrated into your life and the world around you. Right now, AI systems are constrained largely to using digital tools, yet the physical world is rich with audio and visual information that your phone is capable of receiving.\n\n## What We Built\n\nSo we built Touchy. One button press and you're instantly talking to an assistant that can see what you see, remember what you've said, and take action across all the tools you use. \n\nWhat sets Touchy apart:\n\n* **Reimagined UX.** Touchy is a fast, fully iOS-native app with a unique interface that is delightful to use and brings it closer to the world around you.\n* **Sees and hears the world around you**. Speak to Touchy and it can speak back. Easily snap a photo with the app’s camera to give Touchy access to what you’re seeing.\n* **Gets things done across your apps**. Touchy comes with built-in integrations with 1,000+ popular apps, as well as iOS-native capabilities such as you contacts and location.\n* **Make it yours over time**. You chat with Touchy in a single, continuous conversation. It automatically collects memories and preferences, and tailors itself to be more useful to you as you use it.\n\nIt's built to give you your attention back. Ask it something, let it act, and get back to your day — no app fighting for your attention.\n\n![uploaded image](/media/?type=post&id=111407&key=user_uploads/3697324/23ce7916-fce5-44c4-9ebf-f04049fee639)\n\n## The team\n\nWe’re Rohit, Andrew, and Kev. Before this, Rohit was doing a PhD on AI alignment at Google DeepMind Princeton and graduated #1 in Berkeley EECS. Andrew built educational software that scaled to half a million students worldwide. Kev was a startup founding engineer, developing data and GPU infrastructure that power many of the leading AI neolabs today. \n\nWe met during undergrad at UC Berkeley, and we’re coming back together to research, productionize, and scale the future of personal technology.\n\n## Our ask\n\nIf you have an iPhone, download Touchy and try it out: <https://apps.apple.com/us/app/touchy-ai-at-your-fingertips/id6798889392>\n\nWe would love to learn what people find themselves using Touchy for, and what they wish they could use it for. You can also report bugs by shaking your phone or just telling Touchy. You can also reach us at [founders@touchyapp.com](mailto:founders@touchyapp.com)",
        "url": "https://www.ycombinator.com/launches/Syt-touchy-voice-first-ai-assistant-for-iphone-that-understands-the-world-around-you",
        "votes": 24,
        "created_at": "2026-08-20T21:00:00.530Z"
      }
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    "id": 33054,
    "name": "Lamb Labs",
    "slug": "lamb-labs",
    "former_names": [
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    "website": "http://lamb-labs.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Lamb Labs is building Model Processing Units (MPUs), custom AI chips that hardcode LLM weights directly into silicon. Rather than adapting general-purpose processors to run AI models, we're rethinking how LLMs are implemented in hardware to make inference dramatically faster and more energy-efficient.\r\n",
    "one_liner": "Lightning fast chips with hardcoded AI models",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785288921,
    "tags": [
      "Hardware",
      "B2B",
      "Semiconductors",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/lamb-labs",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/lamb-labs.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lamb-labs/",
    "x_url": "https://x.com/LambLabs",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c5ba47505a760393e85b91acdb4b3933cf8df0a7.png",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 726152,
        "full_name": "Niki Kotecha",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Lamb Labs. AI PhD at Imperial College London + I-X Scholar. MEng/BA in Engineering from University of Cambridge. Alan Turing Institute Global Fellowship and 160+ citations",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/niki-kotecha/",
        "x_url": "https://x.com/KotechaNiki",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9d7169b597815c0e4b02ff12606c162b4c12432b.jpg"
      },
      {
        "user_id": 3179989,
        "full_name": "Thomas Lanning",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Lamb Labs. Masters in Mathematical and Theoretical Physics from Oxford. Top of his class in undergraduate at Edinburgh University. (Re)discovered the Higgs-boson using ML and CERN data. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thomas-lanning/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aadf202207708e0feff18ade84592a81efb19f2f.jpg"
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    "jobs": [
      {
        "id": 116541,
        "title": "Founding AI Accelerator Architect (Research & Hardware Co-Design)",
        "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/QfZbNOf-founding-ai-accelerator-architect-research-hardware-co-design",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Hardware",
        "salary_range": "£60 - £160 GBP",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 116543,
        "title": "Founding ASIC Engineer (Architecture & RTL)",
        "url": "https://www.ycombinator.com/companies/lamb-labs/jobs/cW2pB1O-founding-asic-engineer-architecture-rtl",
        "location": "London, England, GB",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Electrical",
        "salary_range": "£60 - £160 GBP",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
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    "launches": [
      {
        "id": 108778,
        "title": "Lamb Labs: Custom Chips for AI Inference",
        "tagline": "Co-designed models and silicon: we hardcode the model architecture into chips targeting 20,000+ tokens per second and 63x higher intelligence per watt.",
        "body": "**Hi Everyone!** \n\n**We’re Niki and Thomas - cofounders of Lamb Labs.**  \n\n**TL;DR: We build custom AI inference chips that run inference at 20,000+ tok/s and 63x higher intelligence per watt than a traditional GPU. Fully local and private by construction, no subscriptions, no API costs.** \n\n**Our mission: the world’s fastest LLM at the lowest power.** \n\n<https://youtu.be/MhhY1Dy9ltE?feature=shared>\n\n**Our hot take: AI models are finally getting good enough to hardcode them directly into silicon.** Once you stop treating the chip as a general-purpose GPU and burn a specific model into hardware, inference gets radically faster and cheaper per watt. Most of the industry is still building flexible, general chips. We think that flexibility is exactly what's wasting your energy. So we’re on a mission to reduce the energy footprint of AI. \n\n**The Problem**\n\nAI is taking power on two fronts: concentrating control of data and intelligence, and consuming ever more electricity to grow. That future scares us, so we're building against it.\n\nHere's the technical root of the waste: **GPUs burn most of their energy during inference moving data, not computing.** LLM/VLM inference is memory-bound, fetching a weight from memory costs \\~100–1000x the energy of the arithmetic you do with it. So you underutilize the GPU you paid for: some GPUs only hit 20–40% compute utilization during LLM inference while the rest idles waiting on memory.\n\nCloud hosting adds its own tax: expensive per-token bills, latency you can't control, network dependencies, and your data leaving your control.\n\n**Our Solution**\n\nWe build the model and the chip together. \n\nThe Hardware Layer\n\n* **Custom architecture, RL-tuned.** We built an RL environment that co-designs the chip architecture for a given model, optimizing directly for speed and energy per token.\n* **Aggressive quantization.** Removes complex math, which shrinks the size and cost of the chip.\n* **Weights on-chip.** The model weights live where the compute is overcoming the memory-bandwidth bottleneck\n\n \n\nBecause everything is hardcoded, it's fully local and secure by construction. No connectivity dependency, nothing leaves the device.\n\nThe Software Layer \n\nDesigning the chip led us to solving a fundamental flaw in LLMs so we are now open-sourcing a new model next week, converted from another open source model, to run 2x faster on any hardware. Come back next week for part 2 of our launch to find out more….\n\n**Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you paying for inference in watts, not just dollars?** Neocloud or private DC operators who are power- or hardware-cost-bound rather than demand-bound, talk to us.\n* **Do you need inference where the cloud isn't an option?** Private AI deployments, regulated, air-gapped, sovereign, or bandwidth-starved deployments.\n* **Do you want to deploy the fastest AI models in your stack?** High frequency trading, agentic workflows \n* **Are you stuck on a thermal or battery budget?** Robotics, wearables, consumer AI hardware where a Jetson-class part is over-provisioned and runs too hot.\n* **Can you introduce us to anyone above?** Warm intros are the single most useful thing.\n\nContact us at [contact@lamb-labs.com](mailto:contact@lamb-labs.com)",
        "url": "https://www.ycombinator.com/launches/SIU-lamb-labs-custom-chips-for-ai-inference",
        "votes": 64,
        "created_at": "2026-08-03T04:56:33.889Z"
      }
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    "id": 33059,
    "name": "Palisade",
    "slug": "palisade-2",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15205df0821b37ecf5cd82136bd682c2cb65c1b2.png",
    "website": "https://palisade-ai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI that finds and fixes OS-level vulnerabilities across device fleets",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1784742432,
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      "Cybersecurity",
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    "batch": "Summer 2026",
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/palisade-2",
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        "full_name": "Fnu Prince",
        "title": "Founder",
        "founder_bio": "Left Caltech at 18 to start Palisade (YC S26). Previously did red-teaming at 16, USACO Platinum/USAPhO HM/AIME, built my own OS for fun (pre-Claude/Codex)",
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      {
        "id": 106995,
        "title": "Palisade - AI that detects and fixes OS vulnerabilities across every endpoint in minutes",
        "tagline": "AI that finds and fixes OS-level vulnerabilities across device fleets",
        "body": "**TL;DR:** For companies running large fleets of OS-level endpoints (running GPU clusters, having a network of cloud devices, or deploying on-device), Palisade detects and fixes operating-system vulnerabilities (privilege escalation, remote code execution, memory corruption) that are extremely hard to detect and mitigate without applying AI to kernel-level data (syscalls, eBPF traces, process/memory events, network packets). A fix that used to take weeks to roll out, Palisade now applies in minutes across every endpoint.\n\nHey YC! I'm Prince, an ML researcher and engineer who dropped out from Caltech at 18 to build Palisade.\n\n**What’s the problem:** Modern attacks increasingly target the operating system, but most security products only observe the network, cloud, or application layers. That leaves OS vulnerabilities among the hardest problems to detect and the slowest to remediate across a fleet.\n\n**Why I’m building this:** Since I was 16, I have done plenty of professional red-team and blue-team security work. One pattern kept showing up: OS-level vulnerabilities were consistently the hardest to handle. Detection required low-level visibility, and even after identifying a vulnerability, rolling out a mitigation across hundreds or thousands of machines often took weeks. My background in both machine learning and operating systems convinced me this didn't have to be a manual process, so I built Palisade to automatically detect and remediate these vulnerabilities at the kernel level across an entire fleet.\n\n**What Palisade does:** Palisade watches your systems at the kernel level—syscalls, eBPF traces, process and memory events, and network packets—and uses AI to find OS vulnerabilities other tools miss, then implement the fix automatically across every endpoint.\n\n![uploaded image](/media/?type=post&id=106995&key=user_uploads/2688178/fa8c6d6a-b058-4f44-87d0-5511d038718b)\n\n_The Palisade control plane, live against a real kernel (LSM-BPF). The live feed at the bottom: every row is a real syscall decision._\n\nThe vulnerabilities it catches are the ones you can't see from the app or network layer alone:\n\n* Privilege escalation\n* Remote code execution\n* Memory corruption\n\nMost are caught before an exploit ever happens, and the fix is applied immediately, fleet-wide. The same patch that used to take weeks now lands in minutes.\n\n![uploaded image](/media/?type=post&id=106995&key=user_uploads/2688178/2f4e756d-1348-44a2-bdce-bb3491925da5)\n\n_The host audit: real findings ranked by severity. The bottom one is the cloud-metadata exposure: the same path behind the Capital One breach. One click on **Apply fix** and it's installed as a kernel rule._\n\nPalisade can already detect and fix real problems:\n\n* CVE-2024-1086: use-after-free in the Linux kernel's netfilter (nf_tables); local privilege escalation to root\n* CVE-2025-6019: libblockdev/udisks privilege escalation to full root\n* CVE-2025-32463: sudo --chroot local privilege escalation to root\n\n**Who it's for:** Companies running a lot of OS-level endpoints, where a single kernel vulnerability multiplies across the whole fleet. Whether it’s network servers or GPUs, we have you covered.\n\n<https://youtu.be/CTVhq7jfTPY>\n\n**Our asks:**\n\n* Intros: if you run a large fleet of OS-level endpoints, or know a security/infra lead who does, I'd love an intro.\n* See the demo and tell me if you’d use it. Brutal feedback welcome.\n\n— [prince@palisade-ai.com](mailto:prince@palisade-ai.com), <https://calendly.com/prince-palisade-ai/30min>, DMs welcome",
        "url": "https://www.ycombinator.com/launches/Rpj-palisade-ai-that-detects-and-fixes-os-vulnerabilities-across-every-endpoint-in-minutes",
        "votes": 8,
        "created_at": "2026-07-23T00:33:01.523Z"
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    "id": 33062,
    "name": "Hubble",
    "slug": "hubble-ai",
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    "website": "https://hubble.ai/",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Hubble’s mission is to unify the patient medical record and remove the barriers to accessing it. Today, a person’s health history is scattered across disconnected systems, leaving patients and the people helping them to piece it together. We’re building a future where one authorization unlocks a more complete record, regardless of where someone received care.\r\n\r\nOur founders previously built healthcare and AI products at Grow Therapy and Amazon One Medical, and we’re backed by Y Combinator, Madrona, and Basis Set. We’re building our team in Seattle, with the opportunity to work directly with the founders and shape how people access and use their health information.",
    "one_liner": "AI-native retrieval engine for medical records",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1784648214,
    "tags": [
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      "Healthcare"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
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    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/hubble-ai",
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    "year_founded": 2026,
    "city": "Seattle",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/hubble-ai-health/",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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      {
        "user_id": 3661311,
        "full_name": "Prabha Dublish",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Hubble. Previously first PM at Grow Therapy launching their first AI features & PM at Meta.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prabhadublish/?skipRedirect=true",
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      {
        "user_id": 3662596,
        "full_name": "Aaron Leon",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Hubble. Previously tech lead at Amazon One Medical, where he launched Amazon's first healthcare AI agents serving 1M+ patients. Prior, led data platforms across Amazon Health.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aaronleon1/",
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        "title": "Founding Engineer ",
        "url": "https://www.ycombinator.com/companies/hubble-ai/jobs/0ATelWV-founding-engineer",
        "location": "Seattle, WA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $175K",
        "equity_range": "1.00% - 3.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 109532,
        "title": "Hubble: Retrieve medical records other APIs can't",
        "tagline": "Your user verifies their identity once, and we return their medical records through one API.",
        "body": "**TL;DR:** Hubble gives your product a patient's medical records through a single API. Your user verifies their identity once, and we assemble their records from across the providers they've seen and return them for your AI agent to use. Where APIs are not sufficient, we keep going with AI (browser and voice agents). Every request runs on the patient's individual right of access.\n\n**The problem**\\\nIf you're building something that needs a patient's records, there's no clean way to get them. A patient's history is scattered across every provider they've ever seen, and each system is its own island. Most APIs returns the patient-portal subset rather than the full record, and coverage is inconsistent because every health system sets up its integration differently. So most teams either build per-provider integrations for months, fall back to faxes and manual portal logins, or push the problem back onto the patient by asking them to track down their own records or remember a login they set up years ago and have long since lost.\n\n**What Hubble does**\\\nYour user verifies their identity once, and we go get their records so you don't have to.\n\n* **One verification, no work on your end.** The patient verifies their identity in a couple clicks. After that, assembling the records is our job, not yours and not theirs.\n* **We don't stop at the portal subset.** We connect into EHRs and HIEs where they work, and when an API comes back empty we keep going.\n* **Browser and voice agents for everything else.** Agents submit the patient's request through provider portals and call records departments on the patient's behalf, working the phone trees so nobody on your team has to.\n* **Built on the patient's right of access.** Every request runs on the patient's individual right of access. They review every source we request from and can revoke at any time. Every retrieval is logged.\n\n**About the team**\\\nWe're the team behind the AI agents at Grow Therapy and Amazon's One Medical, used by millions of patients. Prabha was Grow's first PM building and scaling their AI agents. Aaron built the AI infrastructure at One Medical serving 1M+ clients. (Fun fact: we've known each other for over a decade.)\n\n**Our ask**\n\n* If your product needs patient records, reach out and we'll get you access: [prabha@hubble.ai](mailto:prabha@hubble.ai)\n* Intros to anyone building AI products on patient data, in digital health, care delivery, life sciences, or legal tech.\n\nSign up at [hubble.ai](http://hubble.ai)\n\n<https://www.youtube.com/watch?v=TC9QoaFHlRk>",
        "url": "https://www.ycombinator.com/launches/SUe-hubble-retrieve-medical-records-other-apis-can-t",
        "votes": 21,
        "created_at": "2026-08-10T16:00:00.087Z"
      }
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    "id": 33248,
    "name": "Dock",
    "slug": "dock",
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    "website": "https://trydock.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dock is where you hire AI agents for business. Bring an idea, and your agents turn it into a company that runs: they find the customers, do the work and keep it moving, day and night. Building a company used to mean hiring a building full of people first. With Dock, entrepreneurs can start a real business today and run it like a company of a hundred. You decide where it goes. Your agents make it happen.",
    "one_liner": "AI agents that run your business.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785286566,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/dock",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/dock.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trydockai",
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    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/dock-74d7",
    "github_url": "https://github.com/try-dock-ai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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      {
        "user_id": 31632,
        "full_name": "Mike Molinet",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder at Dock. Previously co-founder at Thena.ai and co-founder/COO at Branch.io, where we scaled to $100M+. Stanford MBA, Bucknell Engineering.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mikemolinet/",
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      },
      {
        "user_id": 3679532,
        "full_name": "Govind Kavaturi",
        "title": "Co-Founder",
        "founder_bio": "Co-founder of Dock (YC S26), helping entrepreneurs start and run businesses with AI agents. Previously co-founded Thena, early at Branch.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/govindkavaturi/",
        "x_url": "https://x.com/Govikavaturi",
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      {
        "id": 114146,
        "title": "Dock – A multiplayer agent workspace that gives you a team of proactive agents that feel like colleagues instead of chat boxes",
        "tagline": "Get 3x more done in a fraction of the time with a team of Dock agents.",
        "body": "After a decade building and scaling companies — including Branch, which[ Govind](https://www.linkedin.com/in/govindkavaturi/) and I grew from zero to $100M+ ARR — we kept hitting the same wall: doing more always meant hiring more. Now, for the first time, it doesn't have to. That's why we built[ **Dock**](https://trydock.ai/).\n\n<https://www.youtube.com/watch?v=JO0dwm_NU_s>\n\nAI agents have changed what's possible, which is why we're building again. Dock gives you a team of proactive AI agents  that work alongside you — they talk to each other, hand off work, and take initiative instead of waiting to be prompted. So you steer instead of babysitting a dozen chat windows.\n\n## **The Problem**\n\nAI agents can finally do real work. But today they work alone — isolated chats that sit there waiting for you to prompt them. The moment you run more than one, _you_ become the middleman: copy-pasting context between a dozen windows and unblocking every agent by hand. The more agents you add, the more work you create for yourself. It doesn't scale.\n\n## **The Solution**\n\nDock turns those isolated agents into a real team. Here's how it works:\n\n### **1. Spin up a team of specialized AI agents in minutes.**\n\nEach agent has a real role, its own objectives, and persistent memory — so it gets better at its job over time instead of resetting every session.\n\n### **2. They work together, proactively.**\n\nYour agents  pursue goals on their own, message each other, and hand off work when one needs something from another — no copy-pasting, no you relaying context. They only come back to you when there's a real decision to make.\n\n### **3. You and your team work right alongside them.**\n\nEveryone — humans and AI agents  — works in the same shared workspace, toward the same goals. The earlier you plug Dock in, the more your agents  learn about how your company actually works.\n\n## **Why this works**\n\nMulti-agent coordination is an infrastructure problem, and we built that infrastructure. Dock runs its own agent harness and runtime, executes in the cloud or on your machine, and gives every agent memory, schedules, and a shared workspace as primitives. Agents working as a team is not a feature we added. It’s what the system is.\n\n## **Why we're building this**\n\nWe've spent our careers inside growing companies — hiring, scaling, managing — and felt the coordination drag of every new person you add. When AI made it possible to grow output without growing the team, this problem was already ours. In a real way, Dock found us more than we found it. Today we run our entire company on Dock, and we think soon every company will run on humans and AI agents  working together.\n\nGet early access:[ **trydock.ai**](http://trydock.ai)\n\n![uploaded image](/media/?type=post&id=114146&key=user_uploads/31632/f4079ba2-afab-462d-b130-e3e6215af412)\n\n",
        "url": "https://www.ycombinator.com/launches/Th4-dock-a-multiplayer-agent-workspace-that-gives-you-a-team-of-proactive-agents-that-feel-like-colleagues-instead-of-chat-boxes",
        "votes": 9,
        "created_at": "2026-09-09T16:00:00.120Z"
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  },
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    "id": 33310,
    "name": "Petrarch",
    "slug": "petrarch",
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    "website": "https://petrarch.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Petrarch brings internal company data to frontier labs, starting with manufacturing and industrial companies. We source data including codebases, project files, and payments from bankruptcy courts, then de-identify and prepare the data for model training. \r\n",
    "one_liner": "Internal industrial company data for frontier labs",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1782965522,
    "tags": [
      "Reinforcement Learning",
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      "Privacy",
      "Data Engineering",
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    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/petrarch",
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    "year_founded": 2026,
    "city": "San Francisco",
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        "full_name": "Ian Lee",
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        "founder_bio": "Founder at Petrarch. Previously Fellow at Meridian AI building training data and GTM infrastructure for AI-native Excel in financial services. Technical Advisor at Scale AI, working on quality filtering and annotation for agentic assistants and reasoning models. BA in Applied Mathematics and Psychology from Harvard.",
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        "full_name": "Samuel Hahn",
        "title": "Founder/COO",
        "founder_bio": "Founder at Petrarch. Previously led GTM at Magier AI (Techstars '24), building agentic PII-redaction and data-compliance products. Venture analyst at Mainstreet sourcing pre-seed fintech and deeptech. BA in Economics and History from Harvard.",
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        "full_name": "Sudhish Swain",
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        "founder_bio": "Founder at Petrarch. Previously built computer vision software for medical equipment identification deployed in California hospitals as Head of Software Engineering at Clean Sweep Group. Research intern at Brigham and Women's Hospital analyzing spatial transcriptomic cancer datasets. BA Integrative Biology at Harvard.",
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        "title": "Petrarch — Unlocking enterprise data for tomorrow's economy",
        "tagline": "The market for specialized data locked up in enterprise companies.",
        "body": "# The market for specialized data locked up in enterprise companies.\n\n[Petrarch](http://petrarch.co) is unlocking enterprise data for tomorrow's economy.\n\n<https://youtu.be/YRflyEOuVYo>\n\nFrontier labs scraped the internet dry. Then, labelers contracted subject matter experts to hand-make data. Now demand has shifted towards the bespoke data locked up within industries like construction, manufacturing, and logistics.\n\nPetrarch targets companies with valuable **operational** **data** they haven't monetized, from **legacy** **businesses** and **startups** to companies undergoing **bankruptcy** and **pivots**.\n\nPetrarch **sources** suppliers, **cleans** and **restructures** the datasets, certifies **legal clearance**, and resells to **applied AI startups and labs.** They have already transacted construction plans, autonomous driving recordings, and codebases.\n\nWith experience at Scale and Meridian AI, founders Ian Lee, Samuel Hahn, and Sudhish Swain dropped out of Harvard to unlock the next wave of training data.\n\nIf you need proprietary datasets or think you have something valuable on your hands \\\n(or recently pivoted), reach out at [founders@petrarch.co](mailto:founders@petrarch.co) or visit us at [Petrarch.co](http://Petrarch.co)!",
        "url": "https://www.ycombinator.com/launches/RJf-petrarch-unlocking-enterprise-data-for-tomorrow-s-economy",
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        "created_at": "2026-07-13T16:11:02.837Z"
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        "full_name": "Jonathan Fishner",
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        "full_name": "Guy Ben Aharon",
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      {
        "id": 111185,
        "title": "OneCLI - Give every employee a secured, sandboxed pro assistant agent",
        "tagline": "Self-hosted agent harness for teams: sandboxed, policy-controlled, and never touching a real credential. Works from web and Slack.",
        "body": "Hi everyone 👋, we're Jonathan and Guy, founders of OneCLI.**\\\n\\\n🏆 TL;DR**\n\nOneCLI is an open source agent harness for teams. Each employee gets their own sandboxed pro assistant agent, connected to their GitHub, Gmail, Notion, Dropbox, or CRM right from the chat/Slack, while the whole workspace runs under one policy your admins control. \\\n\\\nAgents never hold real secrets: the credential is injected at the network layer, per request, after the call is authorized. You can't steal what isn't there.\n\n**Launch Video**\\\n<https://youtu.be/LUAMdqbl_Rw>\n\n🚧 **The Problem**\n\nLately, autonomous agents have arrived and shown up everywhere. Tools like OpenClaw and Hermes have become extremely popular and been adopted by open source communities, mostly by individuals. Companies, however, have been left behind: they need integration with their identity providers to enable easy provisioning of agents on behalf of an employee's identity, with least-privilege access.\n\nThose tools have fundamental flaws. Security fundamentals, like secret handling and organization-level control, are missing by default. So companies must choose between weak agents or making them powerful but risky.\n\n✅ **What OneCLI Does**\n\nOneCLI gives teams the whole harness, open source and self-hosted, so agents can be powerful and safe at once:\n\n* **Sandboxed agent per employee:** each agent runs isolated with its own memory, skills, and permissions.\n* **Secrets injected at the network layer:** the agent gets a placeholder, the gateway swaps in the real credential per request, after the call is authorized. Credentials never enter the agent's context, memory, or logs.\n* **Policy enforced outside the model:** admins define org-wide policy. Block endpoints and scope access per agent.\n* **Human-in-the-loop where it counts:** sensitive actions (send the email, delete the Linear ticket, empty the S3 bucket) wait for deterministic approval in the chat.\n* **Full identity trail:** every agent is bound to an employee, every call logged with who it acted for and which policy allowed it.\n\n🚀 **Team**\n\nWe've spent our careers in security. Jonathan built zero trust network access at Axis Security (acquired by HPE). The core ZTNA idea is that you never trust the client and enforce access outside it, at the network layer. Guy was the first employee at Argon (AppSec company acquired by Aqua Security), protecting client codebases. Agents need exactly the treatment ZTNA gives humans, so we built it.\n\n🙏 **Our Ask**\n\n* Do you want to provide each of your employees with a secure OpenClaw isolated in a sandbox? Shoot me an email: [jonathan@onecli.sh](mailto:jonathan@onecli.sh)\n* Star/try the repo:[ https://github.com/onecli/onecli](https://github.com/onecli/onecli). Self-host in minutes, free.",
        "url": "https://www.ycombinator.com/launches/SvJ-onecli-give-every-employee-a-secured-sandboxed-pro-assistant-agent",
        "votes": 29,
        "created_at": "2026-08-20T14:00:00.677Z"
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        "id": 106907,
        "title": "OneCLI - Your AI agents shouldn't be holding raw secrets",
        "tagline": "Agents hold placeholder tokens, real secrets get injected at the network layer",
        "body": "# **🏆 TL;DR**\n\n[**OneCLI**](http://onecli.sh) is an open-source credential gateway for **AI agents**.\\\nWhen an agent makes a call, OneCLI swaps in the real credential at the network layer and forwards it. The agent never touches the secret, **you can't steal what isn't there**.\\\n320K+ downloads, 2,500+ GitHub stars, and the default credential layer in NanoClaw (30K+ stars).\n\n**Ask:** If your team runs coding agents (Claude Code, Codex, Cursor) or autonomous agents in production. And if you can intro us to Head of DevOps or heads of DevSecOps at companies rolling out AI agents, email us at [jonathan@onecli.sh](mailto:jonathan@onecli.sh) \\\n\\\n**Sign up for free:** <https://onecli.sh>\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/5294ff50-4b88-4ee7-9c9c-3c776b5b45b5)\n\n<https://youtu.be/5e5pbPEzZfY>\n\n# The Problem\n\nAI agents are doing real work now, which means they need real credentials: API keys, database passwords, OAuth tokens. And there's no safe way to hand them over.\n\nToday, every team does one of two things: hardcode secrets into **.env files** the agent can read, or build a one-off proxy hack. Both mean the **agent holds the secret**. An agent that holds a secret can leak it, through prompt injection, a malicious MCP server, a compromised dependency, or simply by pasting it into a log or a commit.\n\nSecrets management was designed for humans and **deterministic software**. Autonomous agents that read untrusted webpages, install packages, and write their own code are a fundamentally different threat model. The blast radius of one leaked production key is enormous, and teams are granting agents more access every week.\n\n# Our Solution\n\nOneCLI moves the credential out of the agent entirely.\n\nYou run one command, and every outbound call from your coding agent (Claude Code, Codex, Cursor, Cline) or autonomous agent (OpenClaw, Hermes, NanoClaw) routes through OneCLI. The agent only ever sees placeholder tokens. On each request, the proxy:\n\n1. Matches the request by host/path\n2. Checks it against policy\n3. Swaps the placeholder for the real credential\n4. Forwards the request\n\nThe agent never holds the secret, so there's nothing to steal, log, or exfiltrate. \\\nSecrets are AES-256-GCM encrypted at rest. The whole thing runs in a single Docker container with no external dependencies. It works with anything that can set HTTPS_PROXY.\n\nFor teams, we already support integration with IdPs and organization-wide policy setup, giving you full control and visibility over every access made by your agents.\n\n# Why this and not the PAM/identity vendors?\n\nBecause the credential problem for agents is a **network problem, not an identity problem**. Vault-based tools (1Password, HashiCorp Vault) still hand the secret to the agent to authenticate. The agent holds it, so the agent can leak it. OneCLI injects the credential at the wire: transparent injection, policy enforced on every outbound request, and the secret never enters the agent's context in the first place.\n\n# The Team\n\nWe've spent our careers in security. Guy (CTO) was the first hire at Argon (acquired by Aqua Security). Jonathan (CEO) worked on ZTNA and network security at Axis Security (acquired by HPE), after serving in Israeli Military Intelligence.\n\nWe hit this problem ourselves. Before OneCLI we built ChartDB together, an open-source database tool with 20K+ GitHub stars, and while building an agent orchestration layer on top of it, we kept hitting the same wall: there was no safe way to hand an autonomous agent credentials. Every team we talked to was either hardcoding API keys or duct-taping proxies. So we built the thing we wished existed.\n\n![uploaded image](/media/?type=post&id=106907&key=user_uploads/406823/ff451063-51d2-4c13-9c5f-cd1863b8c648)\n\n# The Ask\n\nIf you know a Head of DevOps or DevSecOps lead at a company rolling out AI agents, we'd love an intro.\n\n[jonathan@onecli.sh](mailto:jonathan@onecli.sh)",
        "url": "https://www.ycombinator.com/launches/RoJ-onecli-your-ai-agents-shouldn-t-be-holding-raw-secrets",
        "votes": 11,
        "created_at": "2026-07-23T13:44:46.846Z"
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    "long_description": "In an era of cheap intelligence, the most important application of AI will be to improving human health, globally. Osseus is building the frontier medical AI lab, starting with the clinical datasets, evaluations, and reinforcement learning environments that help AI labs train more capable, aligned, and safe models.",
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        "full_name": "Anish Mariathasan",
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        "full_name": "Ayush Patel",
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        "full_name": "Joanathan McIntosh",
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        "linkedin_url": "https://linkedin.com/in/joanathanlim",
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        "full_name": "Philip Moniaga",
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        "title": "Billow - Killing Deloitte with AI",
        "tagline": "AI-native Accounting Firm for Enterprise",
        "body": "# **_We’re killing Deloitte with AI_**\n\n[https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE](https://drive.google.com/file/d/1YaUyJE-ZL0poxDAFGv962RniFsue5nyE/view?usp=sharing)\n\n**Accounting is a $700B industry that hasn’t changed in 200 years.** Today, 80% of companies still do their accounting by hand – manually exporting data, building spreadsheets, and chasing approvals.\n\n**Billow is an accounting firm that replaces human accountants with AI agents.**\n\nWe connect to your existing tools (NetSuite, QuickBooks, and 80+ other systems) and use agents to provide faster, cheaper, and better accounting services. \n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/43e1b7ba-2178-44e3-a001-690ad7b41766)\n\nThere is zero software for customers to use. Just integrate and we’ll close your books for you.\n\nIn the last three months, we went from an idea to partnering with Series B-D companies representing over $1B in enterprise value.\n\n**Team:**\n\n* [Joanathan McIntosh](https://www.linkedin.com/in/joanathanlim/) - Repeat VC-backed founder, built and exited an accounting/ERP platform (45k businesses in 4 years). Ex-Merrill Lynch and StreetLight Data (AI/ML for US Government)\n* [Philip Moniaga](https://www.linkedin.com/in/philipmoniaga/) - Repeat YC founder (W22). Built financial infra at Bloomberg and [Booking.com](http://Booking.com). CTO of a trading platform ($1B+ in volume).\n\n![uploaded image](/media/?type=post&id=110394&key=user_uploads/983067/0bf2a219-f426-444c-a7c2-dda2bbd7e6e7)\n\n**Ask - intros to:**\n\n* CFOs, Controllers, and VPs of Finance at companies with $40M+ in revenue or funding.\n* Fractional CFOs, accounting and advisory firms\n* **$5k referral or 1 US Open ticket for every closed customer.**\n\n[joan@thebillow.ai](mailto:joan@thebillow.ai) | [thebillow.ai](http://thebillow.ai)",
        "url": "https://www.ycombinator.com/launches/SiY-billow-killing-deloitte-with-ai",
        "votes": 70,
        "created_at": "2026-08-13T19:00:00.141Z"
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    "id": 33674,
    "name": "UFO.ai",
    "slug": "ufoai",
    "former_names": [
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      "ufo.ai"
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    "website": "https://ufo.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "UFO is the operating platform for your business built by the creators of Github Copilot and Perplexity Computer. \r\n\r\nUFO learns your company, goals, tools, and workflows. UFO builds what your team needs to keep work moving.",
    "one_liner": "Next-generation agent operating system",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/ufoai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ufoai.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ufo-dot-ai/",
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    "github_url": "https://github.com/ufo-ai",
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      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 3809162,
        "full_name": "Marshall Kiely",
        "title": "Founder",
        "founder_bio": "ufo.ai previously: Perplexity finance lead, quant finance, founding AI eng Notable Health, ML @ Mixpanel. Princeton PhD comp bio – first author Nature and Science papers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marshall-ai",
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    "id": 33804,
    "name": "Neomatter",
    "slug": "neomatter",
    "former_names": [
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      "Lightfield"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a30dd6a7d86e342da32a42b330195358721c4571.png",
    "website": "https://neomatter.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Neomatter connects to a company’s email, chat, and business systems and does the legal work before it reaches the legal team. It gathers context, applies company policies and past decisions, and presents the completed work to in-house counsel for approval.",
    "one_liner": "AI that works for in-house legal teams",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Legal",
    "launched_at": 1786835532,
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    "batch": "Fall 2026",
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    "stage": "Early",
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        "user_id": 1633544,
        "full_name": "Luke Wagner",
        "title": "Founder/CEO",
        "founder_bio": "Cancelled my plans for med school to move to San Francisco and co-found Neomatter (F26).",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/lukedwagner",
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        "user_id": 1374397,
        "full_name": "Luke Mainwaring",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO at Neomatter. Previously CTO at DAHLIA Intelligence where we built an agentic personal assistant for students. BCS in Computer Science, dropped out.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/luke-mainwaring-850a34203",
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      {
        "id": 122248,
        "title": "Neomatter: The operating system for in-house legal teams",
        "tagline": "Every request shows up with the work already done.",
        "body": "## **TLDR**\n\nNeomatter is the operating system for in-house legal teams. It plugs into the places your company already works (email, Slack, Salesforce, etc) and picks up legal requests as they come in. When someone sends legal a contract or a question, the work is already done before a lawyer opens it, ready to review and approve.\\\n\\\n<https://youtu.be/delvI16C41E>\n\n## **The problem**\n\nEvery part of your company runs through legal.\n\nSales needs contracts signed. HR needs employment agreements. Finance needs board approvals. And every department has legal questions.\n\nBut legal teams spend a lot of their time on repetitive work: reviewing the same terms, searching for old agreements, answering familiar questions, and chasing information.\n\nThe software tools haven't solved this. One tool manages contracts, another handles requests, and another tracks approvals. Lawyers still have to piece the work together themselves.\n\nAnd when teams reach capacity, companies hire more lawyers or send work to expensive outside firms.\n\n## **What we’re building**\n\nNeomatter takes a request from start to finish. It gathers context, reviews documents, checks the company’s policies and precedents, and prepares the work for approval.\n\n## **How it works**\n\nNeomatter monitors the places legal requests already come through (email, Slack, teams, Salesforce, and more) and automatically triages requests to the right lawyer. Nobody has to tag anything or learn a new tool.\n\nThen it does the work. It reads everything, does the redlines, checks it against your team’s playbooks, drafts the reply, and waits for your decision. By the time you know the matter exists, 90% of the work has already been done. The lawyer opens finished work, checks the sources, writes any edits, and makes the decision.\n\nAnd it can handle anything. Commercial work, employment work, corporate work, a “can I do this?” question, or anything else a legal team receives. Neomatter does it all.\n\n![uploaded image](/media/?type=post&id=122248&key=user_uploads/1633544/eecfd55b-a702-4725-b7b3-3baed9d62b2f)\n\n## **The team**\n\nWe’re Luke &amp; Luke. We dropped out of university to move to San Francisco.\n\nWe believe AI has fundamentally changed how much work one person can do. After speaking with over 200 in-house legal teams, we realized AI can completely change the way lawyers work.\n\nWe’re building Neomatter to make that happen.\n\n## **The ask**\n\nIf you're a GC, Head of Legal, or in-house lawyer, book a call and we'll show you: <https://cal.com/luke-wagner-mpxe1o/30-minute-meeting>\n\nIf you know someone who works in legal at a company, we'd love an intro.\n\nOr reach us directly at [founders@neomatter.com](mailto:founders@neomatter.com).\n\nLuke &amp; Luke",
        "url": "https://www.ycombinator.com/launches/Vnk-neomatter-the-operating-system-for-in-house-legal-teams",
        "votes": 4,
        "created_at": "2026-10-15T17:00:00.152Z"
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    "id": 33805,
    "name": "Edviro",
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    "website": "https://edviroenergy.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Edviro builds AI that operates energy infrastructure. We connect to meters, HVAC systems, batteries, solar, and other energy equipment and continuously handle the work required to keep them efficient: detecting and diagnosing problems to forecasting demand, simulating fixes, creating work orders, coordinating maintenance, and controlling equipment where authorized. Our energy world models learn how each site behaves, choose the highest-value actions, and verify the results against real operational, meter, and billing data.",
    "one_liner": "AI That Operates Energy Infrastructure",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1782807553,
    "tags": [
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
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        "user_id": 3164154,
        "full_name": "Hursh Shah",
        "title": "Founder/CEO",
        "founder_bio": "19, Founder & CEO at Edviro. Prev. NeurIPS 2024, ChatGPT Lab. Patent pending medtech research. Prev. founded Skyglass, smart glasses startup that got accepted to PearX. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hursh-shah/",
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      {
        "user_id": 1865110,
        "full_name": "Tanuj Siripurapu",
        "title": "Founder",
        "founder_bio": "19, Founder & CTO @ Edviro (YC S26). Prev. at RTX. Scaled a digital presence agency to 20k revenue in high school. Programming since age 9",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tanuj-siripurapu-747b58217/",
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        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/edviro/jobs/PlLCBWC-member-of-technical-staff",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$160K - $260K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/edviro/jobs/xuWBSdL-founding-gtm",
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      {
        "id": 112256,
        "title": "Edviro - AI that operates energy infrastructure",
        "tagline": "AI to operate energy infrastructure",
        "body": "# **Edviro: AI that operates energy infrastructure**\n\nHi all,\n\nWe’re Hursh and Tanuj, founders of Edviro.\n\n**TL;DR:** Edviro connects to a facility’s BMS, utility, sensor, equipment, and maintenance systems to build a world model of how the facility behaves. We use that model to detect problems, simulate interventions before anything is changed, and coordinate the best next action. We’re live in **34 facilities**, have identified more than **$400K in avoidable energy costs**, and are now opening our first partnerships with data center operators.\\\n\\\n<https://youtu.be/0sTQlaQGlOY>\n\n## **The problem**\n\nData centers are expected to drive roughly half of U.S. electricity-demand growth through 2030.\n\nThis is usually framed as a problem of producing more electricity. That is only part of it.\n\nPower must be delivered to the right sites, on the timelines data centers are being built, with the reliability their workloads require. Once a facility has that power, its operators still need to extract as much useful compute as possible from every available megawatt without compromising uptime.\n\nInside a data center, power, cooling, controls, equipment, workloads, and maintenance are tightly coupled. A workload shift changes the thermal profile. A cooling-control change affects both energy use and equipment margins. A maintenance decision can alter redundancy and available capacity.\n\nYet the data and workflows used to manage these systems remain fragmented across BMS, DCIM, EPMS, meters, sensors, maintenance software, vendor portals, and spreadsheets.\n\nMost existing systems can display telemetry or raise an alarm. They cannot reliably model how the entire facility will respond before an operator changes a setpoint, shifts a workload, services equipment, or adds capacity.\n\nOperators are left making high-stakes decisions with incomplete system-level context.\n\n## **What Edviro does**\n\nEdviro turns a facility’s operational data into a continuously updated world model.\n\nBy “world model,” we mean a model that estimates the current state of the physical system, learns how its components interact, and predicts how it will respond to a proposed action. \n\nEdviro:\n\n* Integrates data from building controls, utilities, sensors, equipment, and maintenance systems\n* Detects anomalies, energy waste, equipment degradation, and capacity constraints\n* Simulates operational and maintenance interventions before they are deployed\n* Recommends the best action while accounting for cost, reliability, and physical constraints\n* Uses agents to coordinate approvals, work orders, investigations, and follow-through\n* Verifies whether the expected operational and energy impact actually occurred\n\nFor a data center, this could mean determining whether existing power and cooling infrastructure can support additional IT load, testing a control-sequence change before deploying it, identifying which equipment issue is constraining capacity, or prioritizing maintenance based on the capacity and reliability it would recover.\n\nWe initially keep operators in control of every consequential action. As the models are validated and earn trust, more of the operating loop can be automated.\n\n## **Why we started with schools**\n\nEdviro began when I was 17 and working with my high school’s facilities team. I was given a year of district utility bills to analyze, built software to parse them, and discovered roughly **$360,000 in gas overbilling**.\n\nWe found that this was not an isolated problem. Schools operate large portfolios of aging, mixed-vendor infrastructure with fragmented controls, incomplete data, lean facilities teams, and very little room for wasted budget.\n\nThey forced us to build for the messy reality of physical infrastructure rather than clean laboratory data.\n\nToday, Edviro is live in **34 facilities** and has identified more than **$400,000 in avoidable energy costs** for building operators.\n\nA school is obviously not a data center. Data centers have denser instrumentation, much tighter uptime requirements, and more complex coupling between power, cooling, and compute. \n\nWhat transfers is the underlying architecture: connecting heterogeneous operational systems, estimating the state of a physical facility, simulating interventions, coordinating action across teams, and verifying the result. We are now building the data-center-specific models, integrations, and safety constraints directly with operators. Our first relevant research benchmark can be found here: <https://x.com/hursheybar2/status/2083299315003593037?s=20>\n\n## **Where we’re going**\n\nThe current generation of facilities software tells operators what has already happened.\n\nWe want Edviro to understand what is happening now, predict what will happen next, and help execute the safest and highest-value response.\n\nAs electricity becomes one of the primary constraints on AI growth, building more infrastructure will not be enough. We also need to operate the infrastructure we already have far more intelligently.\n\nThe long-term goal is not another dashboard. It is infrastructure that can understand itself and increasingly operate itself.\n\n## **Asks**\n\n1. **We’re looking for data center operators to become early design partners.** We are especially interested in facilities dealing with power or cooling constraints, capacity-expansion planning, recurring manual investigations, fragmented controls, or reactive maintenance. We can begin read-only, with operators retaining approval over every action.\n2. **We’re hiring energy-modeling engineers** across thermal systems, power systems, controls, scientific machine learning, and physical simulation.\n\nIf you operate a data center—or know the team responsible for operating one—we’d love to talk.\n\n[**www.edviro.com**](http://www.edviro.com)",
        "url": "https://www.ycombinator.com/launches/TCa-edviro-ai-that-operates-energy-infrastructure",
        "votes": 5,
        "created_at": "2026-08-26T17:00:00.166Z"
      },
      {
        "id": 104853,
        "title": "Edviro - Buildings are wasting money daily",
        "tagline": "Your building is wasting energy daily",
        "body": "**TL;DR:** Edviro helps facilities managers at large buildings save on their energy bills.\n\nFacilities managers are overwhelmed with dashboards, alarms, and analytics for hundreds of boilers, HVAC units, and heat pumps across their buildings. Edviro continuously monitors and optimizes buildings using energy world models to detect anomalies, simulate interventions, and suggest the best options to the facilities manager. In particular, in busy spaces like offices, we utilise Wi-Fi access points or our own occupancy sensors to reduce HVAC usage significantly. Our tools also allow institutions to maintain detailed service histories and equipment logs and to perform maintenance with AR. To date, we've saved clients six figures in multiple buildings. We’re also piloting with a construction company to conduct baselining and M&amp;V for sites they work with.\n\n**The team:**\n\nWe’re young technical founders. I’ve published at NeurIPS ‘24, conducted patent pending VR Alzheimer’s work, and founded a previous Aviation smart glasses startup that was accepted into PearX. Tanuj has been coding since he was 9, scaled a previous digital agency to $20k in revenue and previously did dev work at RTX.\n\nThis all started when I was working with my own high school’s facilities team. I saw how much waste there was and how fragmented his energy data was despite loads of smart controls and BMS systems. Initially I built a dashboard for him, and the product quickly caught on to more schools in NorCal.\n\n**Our ask:**\n\nWe’re looking for intros to facilities teams at school districts, real estate or data centres.\n\nAlongside that, we’re looking to work with construction teams who need help baselining and doing M&amp;V on their work post-project.\n\nIf you are connected to anyone in this space, would love to chat!\n\n![uploaded image](/media/?type=post&id=104853&key=user_uploads/3164154/9fe82a05-dd5a-4916-94f4-9cf0e8f54a05)\n\n",
        "url": "https://www.ycombinator.com/launches/RHB-edviro-buildings-are-wasting-money-daily",
        "votes": 5,
        "created_at": "2026-07-07T15:02:05.737Z"
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    "id": 33936,
    "name": "Conifer",
    "slug": "conifer",
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    "website": "https://www.conifer.build",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are thousands of models, providers, and harnesses, each with its own pricing and strengths, leaving an overwhelming number of choices when it comes to managing token spend and intelligence. Conifer uses intelligent routing and orchestration logic to handle the full path of each query: model selection, provider choice, and cache management. It all runs inside your existing harness, so tools like Claude Code and Codex work without changing your setup. By centralizing where inference occurs, Conifer lets companies save on their inference bill while leaving teams free to focus on what they are building.",
    "one_liner": "Least cost routing system to reduce 70%+ token spend",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1783524440,
    "tags": [
      "Developer Tools",
      "B2B",
      "Security",
      "AI"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/conifer",
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    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 2679506,
        "full_name": "Charles Muehlberger",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Conifer. Engineering researcher at Princeton, accelerating multi-modal inference on edge devices and designing physics simulation software for coupled laser reservoirs and machine learning with physical neural networks. Previously built custom edge AI devices for RF-based brain injury modeling at DoW, and helped engineer the world record holding fastest electric speedboat at PES.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/charlesmuehl/",
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        "user_id": 3664042,
        "full_name": "Michael Jeffords",
        "title": "Founder/CGO",
        "founder_bio": "Co-founder at Conifer (YC S26). Previously co-founded The HeartCheck Foundation, scaling free hypertension screenings to 20+ barbershops and over 10,000 individuals. Engineered an ML-driven computer vision pipeline using pose estimation for early-onset ALS and Parkinson's detection. Former clinical researcher at the Dell Med Institute of Vascular Surgery and UTHSC, specializing in hematopoetic stem cell transplantation, achieving infiltration levels >90% in mouse models. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-bryan-jeffords/",
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      {
        "id": 105897,
        "title": "Conifer: Local-first least cost routing system",
        "tagline": "Stop paying cloud prices for every token. We route 80% of requests to your hardware at no cost",
        "body": "Hi all 👋, We’re Michael and Charles, founders of Conifer.\n\n**TLDR:** Conifer is one interface for both local and cloud models, available today as **Juniper**, our consumer-facing app. It routes each request to the most cost-effective option, beginning with your own hardware. Most requests are processed locally without API fees, reducing paid token volume by up to 80%.\n\n**📺 Launch Video:**[ https://www.youtube.com/watch?v=QLVNISmtet0](https://www.youtube.com/watch?v=QLVNISmtet0)\n\n**❓ The problem**: Model labs direct every request to the cloud, with no incentive to route your queries to a cheaper competitor or a free, on-device model. That may benefit them, but it’s unnecessarily costly for you. Whether it’s a simple typo fix or a complex architecture problem, the request is sent to a data center, exposing your data to third parties and increasing your monthly spend. This quickly adds up for teams running coding agents, customer support, and other high-volume workloads. When handling financials, patient records, or customer data, teams must also trust that a cloud provider’s security is as robust as promised.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/6dbc9654-b4df-453d-a02e-3ea71302316d)\n\n**🔨 What Conifer does:** Conifer routes every request from the bottom up:\n\nTier 0: Your own hardware, with $0 in API fees\n\nTier 1: An efficient cloud model\n\nTier 2: A frontier model for the most demanding queries\n\nThe majority of requests are processed locally, ensuring that cloud pricing applies only when actually necessary, drastically reducing paid token volume. Additionally, Conifer consolidates disparate subscriptions, dashboards, and API keys within a single unified interface.\n\nFor sensitive workloads 🕵️, **local-only mode** disables cloud routing entirely, so all conversations and data remain completely on-device.\n\n🏃‍♂️ **Ensuring the local tier is fast enough:** This routing only works if the local tier is reliable, so we built Conifer's inference engine from the ground up in Rust. On Apple Silicon, decode speeds reach up to 60% faster than llama.cpp.\n\n![uploaded image](/media/?type=post&id=105897&key=user_uploads/3664042/79b464dc-667b-48af-a1ba-5cdd089b1dc8)\n\nOn-device operation with Conifer is now the default starting point for inference, rather than a feature limited to hobbyist use.\n\n**Asks:**\n\n1. Try Juniper with a one-click download @[ conifer.build](http://conifer.build), or reach out to us at [contact@conifer.build](mailto:contact@conifer.build) to have a model running in under two minutes.\n2. Introduce us to teams with high monthly token spend. If teams are incurring significant API costs and want to optimize unit economics without rebuilding their stack, we would like to connect.",
        "url": "https://www.ycombinator.com/launches/RY1-conifer-local-first-least-cost-routing-system",
        "votes": 10,
        "created_at": "2026-07-15T22:29:01.603Z"
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    "id": 33969,
    "name": "OpenTag",
    "slug": "opentag",
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      "OpenTag",
      "Open Tag"
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    "website": "https://www.tryopentag.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "OpenTag is an AI coworker in your Slack with full context on your company. It answers questions and takes real work off your plate. It also keeps your wiki up to date automatically, so knowledge never goes stale.",
    "one_liner": "Model Agnostic AI coworker in Slack",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1787093671,
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      "Workflow Automation",
      "Enterprise Software",
      "AI"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/opentag",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/opentag.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/109881466",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 802295,
        "full_name": "Tony Kam",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at OpenTag. Previously at Tesla and founded Lilac Labs (S24). Studied EECS at Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tonyshekkam",
        "x_url": "https://x.com/tonykamshek",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79ba45d01b5c5889e6430069721b3a279fa04e29.jpg"
      },
      {
        "user_id": 3880379,
        "full_name": "Wilson Nguyen",
        "title": "Founder",
        "founder_bio": "Co-founder at OpenTag. Previously founding engineer at Lilac Labs (YC S24). Studied Computer Science at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nguyenwilson/",
        "x_url": "https://x.com/potatoparser",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19a40eb53a4be1df58ecf47644f1c5154bd9ff7e.jpg"
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      {
        "user_id": 1378729,
        "full_name": "Shelden Shi",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO at OpenTag. Previously founded Lilac Labs (S24). Studied CS and CogSci at UC Berkeley.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sheldenshi",
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    "launches": [
      {
        "id": 111999,
        "title": "OpenTag - Model Agnostic Claude Tag",
        "tagline": "AI Super Coworker in Slack.",
        "body": "Hey everyone. You’ve might of heard of Open AI, Open Router, OpenCode, OpenWork….\n\nIntroducing [OpenTag](https://www.tryopentag.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) - the model agnostic Claude Tag.\n\nWe started early access a 2 weeks ago and are live with 10 teams.\n\nIf you've seen Claude Tag, you know the interface: tag an AI in Slack, hand it a task, get the result in the thread. We think that's the right interface. We built OpenTag because we think the multiplayer harness should be model agnostic. When a better model ships, your coworker gets better the same day, benefiting from the performance and cost improvements.\n\nOpenTag is an AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so OpenTag only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. OpenTag writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** OpenTag watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - OpenTag is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add OpenTag to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nOpenTag is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try OpenTag today**\n\nTry it at [www.tryopentag.com](http://www.tryopentag.com)\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@tryopentag.com](mailto:tony@tryopentag.com)\n\n![uploaded image](/media/?type=post&id=111999&key=user_uploads/802295/8d1c1925-f213-405e-bfd4-f9b9effd0095)\n\n",
        "url": "https://www.ycombinator.com/launches/T8R-opentag-model-agnostic-claude-tag",
        "votes": 6,
        "created_at": "2026-08-25T22:00:00.175Z"
      },
      {
        "id": 111423,
        "title": "Gini: AI coworker that lives in Slack",
        "tagline": "Does the work in your channels and turns what it learns into a company brain.",
        "body": "Hi everyone, [Shelden](https://www.linkedin.com/in/sheldenshi), [Wilson](https://www.linkedin.com/in/nguyenwilson), and I ([Tony](https://www.linkedin.com/in/tonyshekkam/)) are cofounders of [Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page).\n\n[Gini](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=launch-page) is a model agnostic proactive AI coworker that lives inside of Slack. You invite it into the channels you want. It picks up how the company runs, how decisions are made, who owns what. It helps the team coordinate and builds automations for workflows that it sees as repetitive. It asks for tools and visibility the way an A-player hire does, and it tries to grow its own scope and agency. It starts as an intern and tries to earn the COO job. As it works, it writes a company wiki of how you actually run. That wiki compounds as a company brain, so Gini only gets sharper with time. Throw it anything. It does its best, and it asks for help when it’s blocked. The result lands in the thread, with sources, where the whole team can see it.\n\n<https://www.youtube.com/watch?v=cJWkGjrSZQ8>\n\n**Four parts, one coworker:**\n\n1. **Ambient and proactive agents -** properly sandboxed with its own computer and browser, so you can trust them with actual tasks instead of babysitting chat windows.\n2. **A wiki that maintains itself —** no more stale handbooks. Gini writes down how the company actually runs and keeps it current. Teammates can read it. Agents can read it.\n3. **Automations that suggest themselves -** Gini watches how your team works and surfaces the repetitive stuff worth automating, so you're not designing workflows from a blank page.\n4. **Built for multiplayer** - Gini is designed with proper permissioning that matches how your team operates.\n\n**2 minutes to start.** Add Gini to Slack, invite it to the channels where work happens, give it a job. It’ll ask for the tools it needs (whatever the job touches). It only reads the channels you invited it to.\n\n**Built by software engineers who’ve shipped products used by millions.**\n\nThe three of us worked together at Lilac Labs (YC S24) and all went to Berkeley. Tony (CEO) was software at Tesla and Intel. Shelden (CTO) was at Flatiron Health, Roche, and Certik (cyber security). Wilson (Chief Engineer) was at Hewlett Packard Enterprise and Vestible, a regulated securities platform.\n\nGini is the coworker we wanted at our last company, when we were the ones running every job.\n\n**Try Gini today**\n\nTry it at [ginicomputer.com](https://ginicomputer.com/?utm_source=yc&utm_medium=referral&utm_campaign=yc-launch&utm_content=try-cta).\n\nTake 30 minutes with me: [book a demo.](https://cal.com/tony-kam-ympx2p/intro?overlayCalendar=true)\n\nWould love to hear your thoughts and feedback. You can email me at [tony@ginicomputer.com](mailto:tony@ginicomputer.com)\n\n![uploaded image](/media/?type=post&id=111423&key=user_uploads/802295/f974cf1c-1978-4418-a1e6-5fdc6de258f8)\n\n",
        "url": "https://www.ycombinator.com/launches/Sz9-gini-ai-coworker-that-lives-in-slack",
        "votes": 101,
        "created_at": "2026-08-20T13:00:00.616Z"
      }
    ]
  },
  {
    "id": 34862,
    "name": "Saccade",
    "slug": "saccade",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/751432518cccc3177c9fa321a442fcfaf7e00fdd.png",
    "website": "https://saccade.health",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Alzheimer's testing today is bottlenecked around the onset of symptoms, when the damage is already done. Current treatments, including the FDA-approved drugs released in 2024, don't reverse the disease; they only slow it down. Earlier detection means earlier intervention.\r\n\r\nEye movement changes linked to Alzheimer's surface sooner than any other biomarker, up to 15 years before symptoms appear.\r\n\r\nWe deliver a 15-minute VR assessment delivered to patients in longevity clinics:\r\n• Tasks: patients perform visual tasks designed by neurologists to trigger a distinct oculomotor response in people with Alzheimer's or on its path\r\n• Hardware: our patent-pending attachment connects to any VR headset on the market and captures these eye movement patterns.\r\n• Analysis: the patterns are compared against our ML model to produce a risk analysis.\r\n\r\nOnce classified, patients can access new interventions, such as the FDA-approved drugs. They're also referred to longevity practices, neurology practices or both, depending on their stage of decline.\r\n\r\nTesting for the earliest biomarkers allows the earliest possible intervention. In some cases, that slows the disease enough that patients outlive the onset of symptoms and never face memory loss in their lifetime.",
    "one_liner": "World's Earliest Test for Alzheimer's Biomarkers",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Consumer Health and Wellness",
    "launched_at": 1791296673,
    "tags": [
      "Hard Tech",
      "Hardware",
      "Machine Learning",
      "B2B",
      "Healthcare"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Consumer Health and Wellness"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/saccade",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/saccade.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/saccadehealth",
    "x_url": "https://x.com/saccadehealth",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Saccade-YC-F26",
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    "app_video_url": null,
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    "primary_partner": {
      "name": "Grey Baker",
      "url": "https://www.ycombinator.com/people/grey-baker"
    },
    "founders": [
      {
        "user_id": 2316918,
        "full_name": "Shreyas Bhardwaj",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Saccade. Prev built medical devices for hospitals; soft robotics researcher",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bhardwajshreyas/",
        "x_url": "https://x.com/shreyasbhardwj",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60555f50c4d0f03a61fcc2d5ac9eb26a042d362a.jpg"
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      {
        "id": 121747,
        "title": "Saccade: World's Earliest Test for Alzheimer's Biomarkers",
        "tagline": "World's Earliest Test for Alzheimer's Biomarkers",
        "body": "**TL;DR:** Saccade is a 15-minute VR test that catches Alzheimer’s biomarkers earlier than ever before. That lets people start lifestyle changes and new FDA-approved drugs years sooner, when they work best. Sometimes that pushes symptoms past life expectancy, so they never show up. \\\nWe’re live in San Francisco clinics, testing people in their 30s and older for early risk indicators. \\\nYou can book a test at [saccade.health](http://saccade.health) today.\\\n\\\n<https://youtu.be/2H0dh5Hnd_Q>\n\n**Problem**\\\nCurrent Alzheimer's testing only screens patients after clear symptoms appear, at which point an individual has already suffered significant cognitive decline. New FDA-approved drugs have been proven to slow this decline, but not reverse it. By the time most people get their diagnosis, they've missed their best window to act.\n\n**Insight**\\\nEye movement changes linked to Alzheimer's can be detected up to 15 years before symptoms appear - earlier than any other markers we can screen for. Our product is designed to service those exact changes, giving patients the insight they need to act now.\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/a60db064-10c6-4ca0-bd9c-29389ea2ef4f)\n\n**Product**\n\n* **Tasks:** users complete visual tasks designed by neurologists that trigger distinct oculomotor responses in people with early-stage, pre-symptomatic Alzheimer's\n* **Hardware:** our patent-pending attachment connects to any VR headset on the market and captures high-precision recordings of eye movement patterns.\n* **Analysis:** the patterns are analyzed by our proprietary ML model to produce a risk score.\n\n**Next Steps for Patients**\\\nOnce classified into one of three risk categories, patients can start interventions ranging from preventative longevity practices, further neurological evaluations, and new FDA-approved drugs. Starting treatment early can significantly slow the progression of the disease, allowing some patients to outlive the onset of symptoms and never suffer from memory loss in their lifetime.\n\n**Get tested today: Sign up at [saccade.health](http://saccade.health) and schedule a screening today.**\n\n**Asks**\\\nIntros to US longevity practices and clinics that want to offer early Alzheimer’s testing to their patients. The test takes 10 minutes. I’m happy to meet in person: [shreyas@saccade.health](mailto:shreyas@saccade.health)\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/51c6bcc9-d56f-4332-be61-510f5525d259)\n\n",
        "url": "https://www.ycombinator.com/launches/Vff-saccade-world-s-earliest-test-for-alzheimer-s-biomarkers",
        "votes": 6,
        "created_at": "2026-10-13T18:00:00.187Z"
      }
    ]
  },
  {
    "id": 34893,
    "name": "Agent 37",
    "slug": "agent-37",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab818d15979a4594472be995a13a8be6107d4517.png",
    "website": "https://www.agent37.com/cloud",
    "all_locations": "New York City, NY, USA",
    "long_description": "* Ready to Use Instantly: Skip the complex server setup. It comes pre loaded with top AI Agents (like Claude Code and Hermes) so your agents can start working immediately.\r\n\r\n* Keep Your Work Safe: Unlike other systems that delete everything when they finish a task, these sandboxes remember your files, code, and settings forever until you delete them.\r\n\r\n* Pay Only for What You Use: Stop paying for idle servers. You pay a tiny fee to store your files, but you only pay for compute power during the exact minutes your AI is actively running.\r\n\r\n* Zero Infrastructure Headaches: You don’t need to be a senior DevOps engineer or manage complex cloud networks. One simple command handles the entire backend for you.\r\n\r\n* Connect to Any App: Allow your AI agents to securely log into and interact with everyday tools like Slack, Gmail, and GitHub in just a few clicks.",
    "one_liner": "Persistent sandboxes for agents like hermes, openclaw, claude code",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1789425415,
    "tags": [
      "Developer Tools",
      "SaaS",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Infrastructure"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/agent-37",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/agent-37.json",
    "year_founded": 2026,
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        "body": "Hi everyone. I'm [Nick Soman](https://www.linkedin.com/in/nicksoman/), cofounder of [Decent](https://www.decent.com/) (F26) with [Andrew Budker](https://www.linkedin.com/in/abudker/).\\\n\\\n<https://youtu.be/ICNV6Scchqw>\n\n\\\n**The problem**\\\nYou choose your company health plan once a year at renewal, and then nobody touches it for twelve months. All year long you overpay without seeing it. A one-time surgery gets built into next year's rates as if it’s recurring. You get billed for employees who left months ago. Your team uses the ER for things that primary care could have handled for a fraction of the cost.\\\n\\\nI learned this the hard way. A carrier raised my old company's rates 27% in January because an employee had started an expensive treatment the February before. They told me it was my data and my fault for not looking. Almost all of that cost was waste. She could have been treated at home for 30% less. An equally effective treatment that cost 25% less could have been free to her. Optimized dosing could have saved 20% more, with fewer side effects and no negative impact on her health.\\\n\\\n**How Decent is different**\\\nYour health plan should get better all year, not once a year. You don't buy a year of ads or a rack of servers up front anymore, but health insurance is stuck on a single annual renewal. Decent is an AI-native health insurance broker for US companies with 2 to 200 employees. We compare every way to cover your team, show what each one costs, and then keep improving your plan all year, for your company and for your employees. The insurance company you choose pays us, so we’re free to you.\\\n\\\n**Why trust us**\\\nAndrew and I met 16 years ago building the Kindle at Amazon. He spent the last several years leading engineering for Metamate, Meta's internal AI platform. I've started and sold two companies and raised $42M. Before this I built and ran level-funded plans, PEOs, and association health plans, with a Net Promoter Score of 79 vs. the industry average of 14, so I know what good looks like and where the system breaks. \\\n\\\nThe full story of why I came back to this, and why it's called Decent, is here: <https://www.decent.com/blog/run-it-back>\\\n\\\n**Traction**\\\nAI is doing 89% of our brokerage work and climbing, and we just caught a one-time surgery driving 46% of a client's claims spend and kept it out of next year's rates. 67 companies are working with us so far, and many more are close behind.\\\n\\\n**What you can do now**\n\n* If you or someone you know runs or helps run a US company with roughly 2 to 200 people renewing by January 1, 2027, book 15 minutes with me to find the best plan for you: <https://meetings-na2.hubspot.com/nick-soman/15-yc> \n* Want to look first? [Get a quote](https://www.decent.com/quote) and price the market yourself on our site, no call needed.\n* Know a company that's overpaying? Introduce us and we'll pay you when they get a quote, whether or not they buy: [decent.com/refer](http://decent.com/refer)\n\nOur mission: affordable healthcare for all. It's never too late to save the world.\\\n\\\nNick &amp; Andrew\n\n![uploaded image](/media/?type=post&id=118447&key=user_uploads/103060/6978a63f-c3bf-452d-b3a1-15336d01adc1)\n\n",
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        "title": "DeepMark - Reinventing Trust in Voice",
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        "body": "<https://youtu.be/76SqazbxK4w>\n\nHey, we are Slavko and Kosta 👋\n\nWe have been working together for six years, first as two researchers at the University of Montenegro, now as founders. Somewhere along the way, we became best friends. Kosta is our CSO, and I am the CEO.\n\n**The problem**\n\nVoice is uniquely vulnerable to impersonation. A few seconds of audio is enough to clone anyone, and the same voice agents that answer a bank's phone can be turned around and pointed at the bank's customers. People have started to hesitate before picking up. Good technology scales good outcomes, and it scales bad ones just as well. Our job is simple. Restore trust in voice.\n\n**What we built**\n\nDeepMark is real-time audio watermarking for AI voice. When an AI agent speaks, we put a certificate inside the sound itself, on the voice company's side, as the voice is being generated. Not metadata, which gets stripped the moment a file is touched. The certificate becomes part of the voice.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/b3239118-82c1-4fb4-82c2-f4363685a0be)\n\nThen the voice goes out into the real world, and the real world is rough on audio. Compression, codecs, a bad connection, a cheap speaker, a worse microphone. Think about how flat a human voice sounds over the phone. Our certificate survives the trip. On the other end, a phone, a call center, or an API reads it and shows who is speaking, who issued the certificate, and whether this agent is allowed to be on the line. Detectors ask whether audio is fake. We answer who is authorized to speak.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/171abdf5-efb9-442b-a153-dbbb1ba981d4)\n\n**Why this is hard**\n\nFour things have to hold at the same time. It has to be real time, or a phone call makes no sense, and voice companies already fight for every millisecond. It has to leave the audio quality alone, nobody trades a worse voice for a safer one. It has to survive the phone line. And the ID has to be long enough, because the longer the ID, the more certificates we can issue. A watermark that works beautifully in the lab falls apart the moment audio meets a phone line. And a live call has no file to sign. Nothing survives the trip except the sound itself, so the identity has to live inside the sound. We spent years hitting that wall. Then we built a tool that measures all four at once and published it, so anyone can check our work, and everyone else's.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/a9930538-1deb-4609-8938-4bdbcf8c88ce)\n\n**How we got here**\n\nOur mentor, who did his PhD in digital watermarking, told us not to bother. The field was saturated, nothing left to contribute. We were too stubborn to listen, and our learning-based approach turned out to be one of the first of its kind.\n\nKosta wrote his PhD on watermarking along the way. I am still writing mine! We published some of the earliest work in deep audio watermarking, cited by teams at Meta, Microsoft, Sony, and Adobe. This year our robustness benchmark landed in IEEE Access, and our AWARE paper was accepted at EUSIPCO. Before YC, we signed our first platform license with a leading voice AI provider, and it is now in production.\n\n**Our ask**\n\nWe want to meet voice AI companies. If you build voice models, book 20 minutes with us and we will run DeepMark on your own audio, so you can see the mark survive your calls. The EU AI Act's marking rules already apply and the 2 December deadline for systems on the market is close, so this is a good month to talk. If you know someone at a voice AI platform, an intro means a lot to us.\n\n[slavko@deepmark.me](mailto:slavko@deepmark.me), or book a demo at [deepmark.me](http://deepmark.me). Thanks for reading. 🇲🇪 → 🌉",
        "url": "https://www.ycombinator.com/launches/UEj-deepmark-reinventing-trust-in-voice",
        "votes": 29,
        "created_at": "2026-09-22T16:00:00.415Z"
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