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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",
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        "id": 93301,
        "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)",
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        "created_at": "2025-08-25T14:47:48.950Z"
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Autumn is open-source infrastructure over Stripe that allows AI startups to build their pricing plans quickly, and flexibly. We act as your app's DB and manage who's paying for what, track usage and manage customer feature access.\r\n\r\nYC companies use us because we make it easy to handle common pricing models like usage-based, credits, subscriptions, rollovers and more in 3 functions and no webhooks. \r\n\r\nAs you scale, you get reliable billing, that you can change however you want without wrangling code (we handle versioning, migrations etc), and manage custom pricing too. Everything you could down the line (credits, multiple subscription groups, rollovers, referral program, usage analytics, centralized team billing etc), you can drop in at any point. ",
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    "city": "London",
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        "url": "https://www.ycombinator.com/companies/autumn/jobs/uhPQyKL-founding-engineer",
        "location": "London, England, GB",
        "type": "Full-time",
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        "salary_range": "£80K - £120K GBP",
        "equity_range": "0.50% - 1.00%",
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        "title": "Autumn: Stripe for AI Startups",
        "tagline": "Autumn makes Stripe 10x easier to integrate and manages your billing infra as you grow",
        "body": "[Autumn](https://useautumn.com) is a layer over Stripe that makes it 10x easier to setup your app’s free / paid plans, and manage them as you grow.\n\n### **The Problem**\n\n* Stripe is low level and it’s hard to build AI pricing. There’s 5 different functions to manage subscriptions, 5 different brittle webhooks and a bunch of DB tables you need to maintain (gate features, track usage etc)\n* When you change pricing (which AI companies do A LOT), everything needs to be ripped out, replaced with different product/price IDs and migrated. This really sucks.\n\n### **What’s Autumn?**\n\nAutumn is your app’s DB for your customer’s subscription state, feature permissions and usage tracking. You make queries to us and we’ll tell you if a customer can access something:\n\n1. Model your pricing plans in our dashboard / CLI (set pricing, feature limits, usage-billing, credits etc)\n2. **/checkout** to handle billing. Use the same function for new subs, upgrades/downgrades, add-ons etc\n3. **/track** usage events when a customer does something (eg uses a credit)\n4. **/check** for feature access to handle usage limits / paywalls. Autumn tells you yes/no in realtime.\n\nWe built the integration so that it can be reused no matter the pricing model (including org / centralized billing). When you want to change pricing, just update your dashboard / config file, migrate any customers you need to and everything’s done. You can also set custom pricing for enterprise customers in a similar way.\n\nhttps://youtu.be/0IBujDkuieE\n\nIt’s open source, used in prod by 100s of developers, and by YC startups that are processing millions.\n\n“The only thing I regret is not moving onto Autumn sooner” (one YC founder we work with)\n\n### **About us**\n\nWe were in the F24 batch building software for banks, before pivoting the day before demo day. We pivoted around for a few months before stumbling on this. Now we’re raising with S25.\n\n**Ayush** — I was a PM at a company called checkout .com (Stripe competitor)\n\n**John** — I studied computer engineering at Imperial College London, and have been building things / devtools for 6 years.\n\n(and we do really ❤️ Stripe)\n\n![uploaded image](/media/?type=post&id=92737&key=user_uploads/642208/a6c05ab4-5544-41ea-9366-debe2aa4f636)\n\n",
        "url": "https://www.ycombinator.com/launches/O7l-autumn-stripe-for-ai-startups",
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        "created_at": "2025-08-05T04:49:14.327Z"
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    "name": "Monte",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Henry Bae",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ Monte. He has an AB/SB/SM in Physics, CS, and Applied Math at Harvard.",
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        "full_name": "Sam Brickman",
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        "id": 105085,
        "title": "Member of Technical Staff (New Grad)",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/kYTr5A8-member-of-technical-staff-new-grad",
        "location": "New York / San Francisco",
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        "visa": "US citizen/visa only",
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      {
        "id": 107429,
        "title": "Head of Research ",
        "url": "https://www.ycombinator.com/companies/ambral/jobs/sCz0Etq-head-of-research",
        "location": "New York / San Francisco",
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        "id": 107430,
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        "url": "https://www.ycombinator.com/companies/ambral/jobs/vK7JuLl-member-of-technical-staff-evals-post-training",
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      {
        "id": 92832,
        "title": "Ambral Cortex: Enterprise-grade AI Account Managers",
        "tagline": "Detect hidden revenue signals, predict what each customer needs next, and autonomously execute the right strategic action",
        "body": "# We built Ambral Cortex to give every B2B customer an AI Account Manager\n\n\\\nhttps://youtu.be/jCUKx0mjXz0\n\n# **Who we are**:\n\n💼 **Sam (CEO)** is a 2x founder, was an early product hire at Wonder (valued at $7bn) and led AI product at Everlywell. He launched a platform in college which grew to 100k+ users within a month and was the CTO of a food delivery business which was acquired at the start of the pandemic. He’s felt the pain of losing customer intimacy at scale and is obsessed with solving it.\n\n🚀 **Jack (CTO)** is ex-SpaceX Flight Software Special Projects, where he developed the next-gen flight computer and telemetry backbone for Falcon 9 and Falcon Heavy. In mission control, he watched how split second decisions based on the right data at the right time mean the difference between success and failure. He’s now doing the same for your customers.\n\n# 🛑 **The Problem:**\n\nStaffing a dedicated human Account Manager for every mid-market and SMB customer has never been economically feasible. Companies are forced to focus only on their largest accounts while the rest are underserved or ignored, resulting in millions in expansion revenue left on the table and preventable churn.\n\n# 🔥 **Our Solution:**\n\nCortex eliminates this tradeoff and makes it possible to bring an enterprise-grade experience to every customer. It uses AI to find hidden revenue signals, predict what each customer needs next, and autonomously executes the right revenue-driving or strategic action. It can handle everything from conversational onboarding calls, to manual reporting work, to driving expansions and securing renewals. It's like cloning your best Account Manager, giving them a degree in data science, and assigning one to each of your customers. \n\nIf you run revenue or customer operations teams let’s chat! [Grab time with us ](https://ambral.com/meet)or shoot us a text at 914-815-7914\n\n# ",
        "url": "https://www.ycombinator.com/launches/O9I-ambral-cortex-enterprise-grade-ai-account-managers",
        "votes": 67,
        "created_at": "2025-11-18T21:25:47.000Z"
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    "name": "Wayline",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wayline is an AI front desk assistant purpose-built for real estate to answer calls and messages 24/7. It’s like an always-on property manager that can convert leads and resolve issues better than any human, day or night. Our AI can be setup in as little as 24 hours and works seamlessly with existing phone/management software. Uniquely, our AI knowledge base is domain-specific to learn and handle the most complex real estate workflows. For property operators, Wayline instantly replaces robo-menus and call centers, while centralizing and scaling back-office teams.",
    "one_liner": "AI voice for property managers",
    "team_size": 5,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction",
    "launched_at": 1754534050,
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      "name": "Gustaf Alstromer",
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    "founders": [
      {
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        "full_name": "Jason Okra",
        "title": "Founder/CEO",
        "founder_bio": "CEO and Co-founder of Wayline. Jason formerly led WeWork’s commercial $110M All-Access business, ran the WeLive coliving product, headed software development at the hospitality provider Jupe (YC S21, Initialized-backed), and advised apartment-finder Kopa (W19). Previous to that, he founded and bootstrapped Baker Street, a boutique property management company to $1M ARR. In addition, Jason founded the multi-family prop-tech startup Cribspot (YC W15), with the team joining Apartmentlist in 2018.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/okra/ ",
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        "full_name": "Eric Rowell",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Wayline (YC S25). I was previously the founder & CEO of Second (YC W23) where I raised $1.9M to build enterprise codebase maintenance tools.  Before that, I was the co-founder and CTO of Uiflow (YC W21) where I raised $21M, built a no-code platform for enterprises, and was acquired by Workday.  Before that, I was the Head of Data Visualization at Workday, UI architect at LinkedIn and Yahoo, author of HTML5 Canvas Cookbook, and created several popular open source libraries.",
        "is_active": true,
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        "id": 90300,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/wayline/jobs/ZIL7Cfl-customer-success-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$145K - $205K",
        "equity_range": "0.25% - 1.00%",
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      {
        "id": 93265,
        "title": "Wayline: AI voice and text for property managers",
        "tagline": "We convert leads and resolve issues 24/7",
        "body": "**TL;DR**\\\nWayline is voice AI and text for property managers that automates all tasks traditionally handled by receptionists, leasing agents, and maintenance coordinators. Imagine staffing an always-on property assistant that can convert leads and resolve issues instantly, day or night. Instead of robo-menus or call centers, every call and text is answered instantly by AI that knows the property better than the onsite teams.\n\nWe bring a decade of property tech and real estate operations experience, having bootstrapped a management company to $1M ARR, run WeLive’s global operations, and oversaw WeWork’s $110M All-Access product. We’re also multi-time founders, having raised $25M+ across three YC-backed companies, and built platforms at LinkedIn and Workday. Together, we combine deep real estate expertise with repeat founder experience in AI and enterprise software.\n\nhttps://www.youtube.com/watch?v=csrPXRzr6zU\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/e6ad601f-26ec-43e4-b23e-e97122174f10)\n\n**The Problem**\n\nProperty management is human-intensive, low-margin, and full of repetitive communication. Operators juggle endless leasing calls, maintenance triage, and support inquiries - all while managing constant staff turnover and fragmented tools like AppFolio, Yardi, and spreadsheets. The result: overworked teams, missed opportunities, and reactive service.\n\n**The Solution**\n\nWayline is the new front desk for real estate. Property management is largely administrative work - phone calls, coordination, and repetitive workflows - and we automate all of it with AI and a property-specific knowledge base. We pull in data from hundreds of public and proprietary sources to resolve issues in real-time and automate follow-up workflows. For tenants and prospects, calling or texting the building _is_ the interface. For operators, Wayline centralizes and scales what used to take teams of on-site managers and assistants.\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/7133a6a9-4f2d-4d6a-ba3b-219cfeeb8d89)\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/73209/7fae2c02-11fb-41bd-bef9-edc39cf7feb7)\n\n**Why Now**\n\nReal estate has resisted disruption for decades with fragmented platforms, duct-taped point solutions, and thin margins. However, AI changes the labor equation: for the first time, the administrative side of property management can be run largely by software. And unlike human teams, AI never sleeps or churns.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=93265&key=user_uploads/602008/30a1da54-5f89-4338-99a3-4fed68a272fe)\n\n* Jason Okra previously led WeWork’s $110M All-Access product, ran WeLive’s global operations, and bootstrapped a property management company to $1M ARR.\n* Eric Rowell is a 3x YC founder who has previously raised $23M+, architected the LinkedIn homepage, and was the Head of Data Visualization at Workday.\n\nWe’re building the AI operator for the 46M rental units in the US. Learn more at [wayline.com](http://wayline.com) →",
        "url": "https://www.ycombinator.com/launches/OGH-wayline-ai-voice-and-text-for-property-managers",
        "votes": 22,
        "created_at": "2025-08-22T18:18:52.223Z"
      },
      {
        "id": 73110,
        "title": "⚫ ⚫ Second - The world's first fully automated codebase migration platform",
        "tagline": "Modernize your business with automated migrations for every codebase",
        "body": "Hi friends! Second provides AI agents that specialize in codebase migrations. Today we support:\n\n![uploaded image](/media/?type=post&id=73110&key=user_uploads/602008/f0eb07b3-1568-4242-ada8-5eb4ba86727a)\n\n👉 [Click here to see the product demo video](https://www.youtube.com/watch?v=bwq7JRfTP9U)\n\n### The Problem\n\nEngineering teams at large companies spend about 50% of their time on codebase maintenance including migrations and upgrades. Even worse, many organizations are so far behind on modernizing their technology stacks that they have become paralyzed and unable to move forward.\n\n### Our Vision and Mission\n\nHere at Second, we see a future where all engineering grunt work tasks are automated, giving human engineers more space to innovate and create new software. We are on a mission to realize this future by first automating migrations and upgrades for every codebase in the world.\n\n### How it Works\n\nUsers connect a Second Agent to their GitHub account, select a repository (or use one of our example templates), run a migration module, and get a pull request. It’s that easy!\n\nEach of our modules are hand-built to perform specific migrations, and serve as a high level blueprint or plan. Next, our agents run these modules by utilizing AI, codemods, and other techniques to perform directory restructuring and code changes. Our agents have proprietary codebase scanners, dependency resolvers, and much more. Every migration job is broken up into steps like this:\n\n![uploaded image](/media/?type=post&id=73110&key=user_uploads/602008/98660970-8e55-4483-a5e7-3ab4383fab52)\n\n### Why we are Relaunching\n\nSecond was in the last batch (W23), but we are relaunching because we have refocused our product on migrations and upgrades only, whereas previously we were focused on commodity web application feature creation. We made this change because it became crystal clear after hundreds of discovery conversations that codebase maintenance is a much bigger pain point for large companies. We are already working with three large enterprises and couldn’t be happier! 😄\n\n### Asks\n\n* We would love to hear your thoughts! Are there any migrations that our team can help you with? Please let us know! you can reach me directly at [eric@second.dev](mailto:eric@second.dev) 🙏\n* Try out Second by going to [www.second.dev](http://www.second.dev). You can use Second for free on repositories up to 1MB, or upgrade to Pro for bigger codebases.\n* 👉 Join the conversation on the Second Community Discord – <https://www.discord.gg/ZhYUEjsW3Z>",
        "url": "https://www.ycombinator.com/launches/J1C-second-the-world-s-first-fully-automated-codebase-migration-platform",
        "votes": 132,
        "created_at": "2023-07-16T23:54:01.144Z"
      },
      {
        "id": 69533,
        "title": "👥 Second – The second developer bot you've always wanted",
        "tagline": "Bots that set up web applications, add features, and keep projects up to date",
        "body": "TL;DR: Instead of hiring a second developer, use a bot to handle developer grunt work and common features so that your human developers can work on more important things.\n\nHi there! My name is Eric Rowell. I’m the founder and CEO of Second, which provides bots that can set up web applications, add common features, and keep projects up to date.\n\n👉 [Click here to see the product demo video](https://www.youtube.com/watch?v=IR9JUxznEC0)\n\n### The Problem\n\nLet’s face it. No developer wakes up in the morning and thinks to themselves “Gosh, I can’t wait to build yet another login and user registration flow!”. Or “You know what, I’m really excited to migrate MUI from version 4 to 5!”.\n\nBoilerplates? They suck. You spend hours searching for something that’s close to what you want, and then days hacking at it to get it into shape. After the dust settles, you’ll eventually wonder if it was even worth it.\n\nThe overarching theme here is that developers are spending way too much time building commodity features and doing grunt work. This reduces their overall happiness (no, really!) and it slows down product delivery. What if bots could handle the common stuff?\n\n### The Solution\n\nSecond provides bots that specialize in commodity feature development, like authentication, login screens, user registration, subscription billing, dashboards, navigation, forgot password flows, CRUD forms, etc., and also provides bots that can do more sophisticated things like upgrade libraries or frameworks. Best of all, this value is delivered as well written source code in the form of Git pull requests! No abstractions, DSLs, or other weird stuff to learn.\n\nHow is this possible? Users install Second Bot on their GitHub account. These bots operate in the cloud, and use a custom built codegen engine which writes out code files line by line, and will also utilize GPT-3 for special scenarios like code injection and merge conflict resolution.\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/c04a0a9f-f829-4c75-99bc-dc35995ca66d)\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/f71c9851-8e34-4d22-9730-ad004c787510)\n\n![uploaded image](/media/?type=post&id=69533&key=user_uploads/602008/85589f57-a9f9-425c-a5fa-d84f29b678a6)\n\n### Backstory\n\nI’ve been building for the web for over a decade, including developing the Yahoo video player, architecting the LinkedIn homepage, and leading data visualization efforts at Workday. I’ve created several popular open source projects like KineticJS, BigOCheatSheet, and El Grapho. Most recently I was the co-founder and CTO of Uiflow (W21) which is a no-code platform for enterprise.\n\nWhile at Uiflow, I built a high-fidelity web authoring experience like Webflow and a custom-built visual language called Flowlang. Among many reasons, including the realization that modern approaches to no-code and low-code platforms for web application construction are still not viable, I made the difficult decision to leave Uiflow and start over.\n\nIn all of this time, I have seen how web application development has actually become more complex over time. I’ve seen all kinds of approaches to simplify the process, including an explosion of new libraries, frameworks, languages, DSLs, no-code tools, and low-code tools. After departing Uiflow and spending two months on discovery, the idea of Second began to emerge. What if bots could just write code and raise pull requests for the common stuff? Is that crazy? Well, yea. Let’s do it!\n\nTo my amazement, I was accepted back into YC for a second chance, based on nothing more than some insights and an idea!\n\n### My Ask\n\nMy ask is really simple! Sign up and try Second for free! ([www.second.dev](http://www.second.dev)). I would love to hear your thoughts. You can use the Quick Start to set up a Next.js + MUI web application fast!\n\nIf you want access to the Pro modules, please contact me and I can set that up for you!\n\n👉 You can find me on Twitter at <https://twitter.com/ericdrowell>\n\n👉 Or you can join the conversation on the Second Community Discord – <https://www.discord.gg/ZhYUEjsW3Z>",
        "url": "https://www.ycombinator.com/launches/I5V-second-the-second-developer-bot-you-ve-always-wanted",
        "votes": 49,
        "created_at": "2023-02-22T14:42:22.752Z"
      }
    ]
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    "id": 30413,
    "name": "Serafis",
    "slug": "serafis",
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    "website": "https://serafis.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Serafis is building the AI knowledge graph for market intelligence, starting with the information frontier. Trusted by top investors ($70B+ AUM) and the largest global consulting firms.",
    "one_liner": "Deep intelligence for private markets",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755276267,
    "tags": [
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      "AI"
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    "batch": "Summer 2025",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/serafis",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/serafis.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/serafis/",
    "x_url": "https://x.com/serafis_ai",
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    "founders": [
      {
        "user_id": 288934,
        "full_name": "Rohan Sharma",
        "title": "Founder/CEO",
        "founder_bio": "Rohan is the Founder and CEO of Serafis. He was formerly the Head of Data at Ribbit Capital ($12B AUM). Prior to that, he was a Software Engineer at Google, then bootstrapped and exited Kosmos — a data integrations SaaS for wealth managers. He studied Computer Science at Princeton University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/r9a",
        "x_url": "https://x.com/r9a_co",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f49768f138c77dda85aaebb2a33a7aff6e10dbc3.jpg"
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    "launches": [
      {
        "id": 102769,
        "title": "Serafis - the podcast app for investors",
        "tagline": "Narrative intelligence to help you find the next 10x idea",
        "body": "**TL;DR** Serafis helps you discover ideas worth paying attention to, from the voices that matter. Our data platform is already used by top asset managers and the world's largest consulting firms. Now, narrative intelligence fits in your pocket.\n\n> “Anytime somebody from one of the \\[AI\\] labs goes on a podcast … it’s so important to listen … it’s in my job description. There are some real needles in the haystack.”\n>\n> Gavin Baker, CIO of Atreides Management ($5B AUM)\n\n🎥 [Discover the next 10x idea with Serafis.](https://www.youtube.com/watch?v=979mS9_-Bs4)\n\n**Serafis indexes the information frontier**\n\nThe sharpest minds now go direct. CEOs, founders, researchers and investors increasingly share their perspectives on independent channels. Hearing from credible voices is one of the most effective ways to:\n\n* Generate new investment ideas\n* Research markets and companies\n* Develop your view on any given topic\n\n**The problem:** harnessing this information is a challenge. It’s scattered and buried across thousands of hours of audio.\n\nSerafis is building a structured, queryable knowledge graph for narratives – starting with podcasts. Search by person, company or theme across 100K+ curated transcripts.\n\n**We’re democratizing narrative intelligence**\n\nToday we’re launching the [Serafis mobile app](https://serafis.app): the world’s first podcast app for investors, with an AI-native interface.\n\n* Discover content relevant to the companies you follow\n* Explore a feed of the most insightful ideas found in podcasts\n* Ask questions about episodes, shows, or the Serafis library. Get answers with timestamped citations that take you to the exact quote.\n\nWe’ve thoughtfully integrated AI to help you find better information, faster. We also know how important it is to stay close to the source. For any episode, you can export, search, and highlight the full transcript.\n\n**Download the app now:**\n\n* [**iOS**](https://apps.apple.com/us/app/serafis/id6751523936)\n* [**Android**](https://play.google.com/store/apps/details?id=com.r9a.serafis.mobileui)\n\nWe’d love your feedback. Feel free to get in touch: [founders@serafis.ai](mailto:founders@serafis.ai)\n\nIf you’re a business interested in using our data platform, please [request a demo.](https://tally.so/r/gD0xxK)\n\n![uploaded image](/media/?type=post&id=102769&key=user_uploads/288934/86305a78-39e4-40ea-8dae-eb7ef9315e5e)\n\n",
        "url": "https://www.ycombinator.com/launches/QjZ-serafis-the-podcast-app-for-investors",
        "votes": 21,
        "created_at": "2026-06-08T23:06:52.317Z"
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  },
  {
    "id": 30494,
    "name": "Nixo",
    "slug": "nixo",
    "former_names": [],
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    "website": "https://withnixo.com/",
    "all_locations": "San Francisco, CA, USA",
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    "team_size": 6,
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    "subindustry": "B2B",
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        "id": 93052,
        "title": "Nixo - The first ops platform for forward deployed engineers",
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        "body": "TL;DR We enable forward deployed engineers to cut time to customer impact.\n\nhttps://youtu.be/e5mBrBmGAFM\n\nYou wouldn’t give a Formula 1 driver a Honda Civic with rocket engines strapped on. But that’s what most companies do to their FDEs right now. These engineers MacGyver their way through every customer project using sales, technical, and support infrastructure that was never meant to accelerate what FDEs do. The result? Companies hit a wall sooner than they should. FDEs are overextended, and there’s no room to take on more customers.\n\n**Most orgs think custom implementations are slow because each one is too unique. In reality, FDEs lose days chasing customers for details and redoing overlapping work.**\n\nWe talked to 100+ FDEs to build the ops platform that finally cuts the friction and bloat slowing them down.\n\n**With Nixo, you can** **scope customer problems faster, discover opportunities to reuse code, and get instant visibility into workload across accounts.** Our approach is simple but effective: we pull information from Slack, GitHub, Linear, and CRMs, and organize it to match the flow of real FDE work.\n\n![uploaded image](/media/?type=post&id=93052&key=user_uploads/878307/50a6e373-27e1-4c98-98d6-ec4676fc3fff)\n\nHi 👋 we’re Priya and Priti. As FDEs at startups, we felt the pain of managing high-touch deployments without the right tools. And as more teams deploy AI into complex customer environments, we believe the FDE model is here to stay. But making it sustainable and scalable takes more than just iPaaS or better coding agents — it takes the right ops infrastructure.\n\nIf you're selling to enterprises, building agents for verticals, or scaling your FDE team, you’ll want to see what we’re working on. Reach out to [**priya@withnixo.com**](mailto:priya@withnixo.com) or [**schedule a 15 minute chat**](https://cal.com/priya-nixo/15min).",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1752189935,
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        "linkedin_url": "https://linkedin.com/in/henry-ndubuaku-7b6350b8",
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        "title": "Cactus 🌵: Deploy AI models locally on smartphones",
        "tagline": "Cross-platform open-source framework for deploying LLMs, VLMs, Embedding, and other models locally in your apps.",
        "body": "# TL;DR\n\nDeploy AI models locally, privately, and offline in any app using Cactus. Cactus is a blazing-fast inference engine optimized for smartphones and comes with React Native, Flutter, and Kotlin bindings.\n\nhttps://youtu.be/xwKrmYkJZD8\n\n# Our framework:\n\nCactus is a cross-platform & open-source framework for doing inference on smartphones, wearables, and other low power devices. It supports any LLM or VLM available on HuggingFace directly.\n\nThe recently released Google AI Edge and Apple Foundation Frameworks are platform-specific and primarily support specific models from the companies.\n\nTo this end, Cactus:\n\n* Is available in Flutter and React-Native for cross-platform developers, since most apps are built with these today.\n* Supports any GGUF model you can find on Huggingface; Qwen, Gemma, Llama, DeepSeek, Phi, Mistral, SmolLM, SmolVLM, InternVLM, Jan Nano etc.\n* Accommodates from FP32 to as low as 2-bit quantized models, for better\n\n  efficiency and less device strain.\n* Have MCP tool-calls to make models performant, truly helpful (set reminder, gallery search, reply messages) and more.\n* Fallback to big cloud models for complex, constrained or large-context tasks, ensuring robustness and high availability.\n\nSo far, our customers have built:\n\n* Personalised and private RAG and prompt-enhancement pipelines for their app users.\n* Offline fallback for the big remote AI models.\n* Phone tool use agents like gallery & calendar management.\n* AI for medical and other privacy-pertinent industries.\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/bd9fc810-5239-41b7-90ac-bf6d1686bb3c)\n\n# Some demos:\n\n**LLMs and embedding models**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/0f36edcb-6e65-408f-b30b-a920b37a0aa0)\n\n**Real-time vision inference**\n\n![uploaded image](/media/?type=post&id=92059&key=user_uploads/1131467/24403145-da55-4c01-ad60-8472f49b439d)\n\nTell us how we can make it great!\n\nRepo: https://github.com/cactus-compute/cactus \\\nDiscord: https://discord.gg/nPGWGxXSwr",
        "url": "https://www.ycombinator.com/launches/Nwp-cactus-deploy-ai-models-locally-on-smartphones",
        "votes": 41,
        "created_at": "2025-07-11T19:13:56.052Z"
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    "id": 30520,
    "name": "Synthetic Society",
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        "full_name": "Aaron Chew",
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        "founder_bio": "Columbia CS Dropout. USACO Finalist, top 20 programmers in the USA. First hire @ fun.xyz. Z-Fellows.",
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        "linkedin_url": "https://linkedin.com/in/aaronbchew",
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        "full_name": "Kavan Doctor",
        "title": "Founder/CTO",
        "founder_bio": "MIT CS Dropout, #1 in Math in Canada",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kavandoctor/",
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        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/synthetic-society/jobs/zBCibgU-founding-member-of-technical-staff",
        "location": "New York, NY, US",
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        "role": "Engineering",
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      {
        "id": 92732,
        "title": "Synthetic Society | Synthetic Users to Simulate Real Users",
        "tagline": "We help teams test like real users to ship faster and break less",
        "body": "## TL;DR\n\nSynthetic Society deploys AI-driven synthetic users to proactively catch bugs, UX flaws, and broken flows before real users experience them. Eliminate manual testing, accelerate your release cycles, and ship confidently.\n\n## Who We Are\n\nWe’re Aaron and Kavan, competitive programmers who met in high school, bonded over building, and never stopped. After a few years as product engineers, we dropped out of Columbia and MIT to build Synthetic Society. \n\n## The Problem\n\n* With AI codegen, teams are pushing features faster than ever. Unfortunately, they’re also pushing bugs, bad design, and broken flows just as fast.\n* Traditional testing practices are slow, resource intensive, and error prone. \n* These inefficiencies lead to frustrated end-users, decreased user retention, increased churn, and ultimately, loss of competitive advantage and revenue.\n\n## Our Solution\n\n**Synthetic Society deploys swarms of synthetic users that mimic real user behaviors to proactively catch bugs, UX flaws, and edge cases.**\n\n**Vibe-code with confidence, knowing that the self-updating end-to-end flows are protecting you with every change you make.**\n\nhttps://youtu.be/DD8efBypfS4 \n\nCheck out our website: https://syntheticsociety.ai/ \n\nGet in touch: [aaron@syntheticsociety.ai](mailto:aaron@syntheticsociety.ai)\n\n![uploaded image](/media/?type=post&id=92732&key=user_uploads/524053/02a68466-2478-4701-8ab6-d54307535a57)\n\n",
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    "launched_at": 1754272842,
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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        "full_name": "Veniamin Veselovsky",
        "title": "Founder",
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        "full_name": "Theodore Summer",
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        "linkedin_url": "https://www.linkedin.com/in/twsummer/",
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        "title": "Rid - Sell with a Text",
        "tagline": "We make selling easier than buying",
        "body": "Selling your stuff sucks. \n\nRid makes it easy. Like really easy. Easier than buying easy. \n\nYou just have to text us a photo of what you want to sell and we’ll find you a buyer.\n\n![firstmessage](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-first-message-short-cropped-final.gif)\n\nBehind the scenes, we first become experts on your product. Imagine a dedicated sales person for each of your items.\n\n![product-dashboard](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//product-dashboard-v2.png)\n\nAfter we understand what you’re selling, the real magic begins. We will find the person who is looking to buy exactly what you’re selling.\n\nThe next text message you get from Rid will coordinate us picking up the item from you.\n\n![buyer](https://sjvqlzjpxgbsqfphrsbe.supabase.co/storage/v1/object/public/others//rid-buyer.gif)\n\nThat’s all. You’ve sold your thing. \n\nIn the background our AI agents are working hard to provide you this frictionless experience. Handling listings, selecting markets, negotiating with buyers, and answering questions.\n\nWhether you're moving, cleaning out your closet, or looking to make a little extra cash, let us sell your stuff – no headache.\n\nFor now we’re launching only in the Bay Area, but if you’re elsewhere text Rid your zip code and we’ll notify you when we’ve launched in your area.\n\n**Who are we?**\n\nBenedikt and Veniamin met during their PhDs at Princeton, where they worked on language models. Now they’re excited to bring their expertise to agentifying resale.\n\nIf you want to chat about resale or have product recommendations, email us at [founders@rid.me](mailto:founders@rid.me).\n\nhttps://www.youtube.com/shorts/thqVjE_xYh4",
        "url": "https://www.ycombinator.com/launches/O76-rid-sell-with-a-text",
        "votes": 94,
        "created_at": "2025-08-04T14:56:14.689Z"
      }
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    "id": 30582,
    "name": "Pingo",
    "slug": "pingo",
    "former_names": [
      "Pingo AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df5e302ee1aa2a614f8eb92d274a19d030ff6c3f.png",
    "website": "https://pingo.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pingo is an AI language learning app that helps users build fluency through speaking. It immerses learners in realistic conversations and personalized lessons with an AI that converses naturally, like a native speaker would. Our goal is to make learning a language as simple as talking with Pingo — who understands your goals, remembers your progress, and keeps you motivated.",
    "one_liner": "Your personal AI for language learning",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1753741789,
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    "nonprofit": false,
    "batch": "Summer 2025",
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    "industries": [
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    "regions": [
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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/pingo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pingo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "founders": [
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        "user_id": 1919921,
        "full_name": "Michael Xing",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO at Pingo. Previously built consumer products used by hundreds of thousands of users.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-xing-04216821a/",
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        "user_id": 2700749,
        "full_name": "Morrie Schonfeld",
        "title": "Founder",
        "founder_bio": "Co-founder and COO at Pingo. Published Chinese author with 7+ years of language learning experience. Leads growth at Pingo. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/morrie-schonfeld-1628002b1?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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    "launches": [
      {
        "id": 92655,
        "title": "Pingo AI: AI companion that helps you learn languages",
        "tagline": "Learn a language by speaking with Pingo",
        "body": "Hey everyone! We’re Michael and Morrie, the founders of Pingo AI 👋.\n\n**TL;DR:**\n\nPingo AI is an AI-powered language learning app that helps you **build fluency by talking with an AI tutor in real-life conversations**. As of July, we’ve grown to 300K+ users and $200K MRR since launching in January.\n\n<https://www.youtube.com/watch?v=6CP9Iyyxsgg>\n\n### **❌ The Problem**\n\nMost language apps focus on memorizing phrases or completing gamified lessons. **Speaking is the most challenging part — and the one most apps overlook.** \n\nWhen most people finally get the chance to speak, they freeze. Fear of judgment, embarrassment over mistakes, and lack of confidence leave learners unprepared for the goal they've spent years working towards: having a real conversation.\n\n### **🗣️ The Solution**\n\n**Pingo helps you build fluency through immersive, AI-powered conversation practice.** You speak with an AI that guides you through realistic, everyday scenarios — like ordering food, booking a hotel, or making small talk. \n\nPingo adapts to your level, gives real-time corrections, and encourages natural language use. It’s designed to mimic the experience of practicing with a fluent speaker. You get comfortable speaking out loud, not just recognizing words on a screen, and improve through consistent, low-pressure practice. You’re using the language as you would in the real world.\n\n**Our goal**: Make language learning as simple as daily conversations with Pingo — a companion who understands your goals, remembers your progress, and keeps you motivated.\n\n![uploaded image](/media/?type=post&id=92655&key=user_uploads/1919921/8660d5ab-ecc4-4a24-9432-6ecc9baf493b)\n\n### **🚀 Traction**\n\n* **300,000+ users**\n* **$200,000 MRR**\n* **Averaging 100% MoM growth (200% in the past month)**\n\n### **Our Story**\n\nPingo started when we (Michael and Morrie), freshman year roommates, practiced Chinese together each week. Michael’s fluent, and Morrie has been learning for 8 years. We saw how powerful immersion is, but not everyone has a practice partner—so we built one.\n\n### **🙏 Asks**\n\n* If you or anyone is learning a language, give Pingo a try!\n* Download at <https://mypingoai.com> (available on App Store and Google Play)\n* We’d love to hear your feedback at [founders@mypingoai.com](mailto:founders@mypingoai.com)\n\n![uploaded image](/media/?type=post&id=92655&key=user_uploads/1919921/edb65ccf-c5c3-4d30-ac9c-1d8a895de47e)\n\n",
        "url": "https://www.ycombinator.com/launches/O6R-pingo-ai-ai-companion-that-helps-you-learn-languages",
        "votes": 31,
        "created_at": "2025-08-03T17:37:39.418Z"
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    "id": 30596,
    "name": "Adaptional",
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    "website": "https://www.adaptional.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Adaptional is building agentic AI for insurance claims. Claims are 75% of every dollar in the $1T insurance industry -- and one of the most under-optimized areas, still managed by adjusters working hundreds of files by hand. We're changing this with AI claims review agents, already deployed at some of the major P&C carriers. \r\n\r\nIn the future, claims will be powered by an intelligence layer that manages files and escalates actions to human adjusters. Adaptional is building the AI system that will be the foundation for every claims department across P&C insurance.",
    "one_liner": "AI-powered insurance claims review",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1758589841,
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    "batch": "Summer 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/adaptional",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/adaptional.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/adaptional",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
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        "user_id": 423912,
        "full_name": "Kevin Cox",
        "title": "Founder/CTO",
        "founder_bio": "Co-founded and sold digital insurance brokerage Savvy (W20). Led engineering teams at Clipboard Health while revenue grew profitably from $30M -> $130M. Building Adaptional - AI for commercial insurance.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevin-cox-90337b47/",
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        "full_name": "Suril Kantaria",
        "title": "Founder",
        "founder_bio": "Cofounder of Adaptional S25 and Savvy W20, a digital insurance brokerage for startups & SMBs. Previously on the early team at X/xAI and Primer, a NLP lab that raised $250m+.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/suril-kantaria-59522922/",
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    "jobs": [
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/adaptional/jobs/k7W6ge9-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$180K - $280K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/adaptional/jobs/D8ofuWJ-founding-gtm-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
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        "visa": "US citizen/visa only",
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    "id": 30598,
    "name": "GETASAP",
    "slug": "getasap",
    "former_names": [
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    "website": "https://www.getasap.us",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2023, GETASAP is a San Francisco–based technology and supply chain infrastructure company transforming fresh produce distribution and freight.\r\n\r\nGETASAP Fresh provides same-day delivery to thousands of restaurants and retail locations across the USA, sourcing directly from farms internationally and operating global cold-chain infrastructure. It also operates an AI-native freight carrier and brokerage, delivering reliable reefer LTL and FTL services powered by VoiceAI dispatch, optimized scheduling, and real-time operational intelligence.",
    "one_liner": "AI-Native Fresh Produce Logistics",
    "team_size": 30,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1755567142,
    "tags": [
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      "Logistics",
      "Supply Chain"
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    "tags_highlighted": [],
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/getasap",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/getasap.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
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      "name": "Harj Taggar",
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        "user_id": 2775202,
        "full_name": "Raghav Arora",
        "title": "Founder/CEO",
        "founder_bio": "Started GETASAP at 14 - Building the Doordash(Dashmart) for B2B - we deliver inventory in 8 hours to retailers of any size using retail data & micro fulfillment centers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raghav-arora-516b1826b/",
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      {
        "user_id": 1869676,
        "full_name": "Pranavkrishna Suresh",
        "title": "Founder/CTO",
        "founder_bio": "19 y/o. CS @ Georgia Tech. Building the physical and technology infrastructure to power AI-Native Fresh Produce Logistics. Prev @ AWS & GovTech Founder. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavkrishnasuresh/",
        "x_url": "https://x.com/PKrishnaSuresh",
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      {
        "id": 93013,
        "title": "GTM Intern",
        "url": "https://www.ycombinator.com/companies/getasap/jobs/tCJkfEB-gtm-intern",
        "location": "Mountain View, CA, US / Remote (Atlanta, GA, US)",
        "type": "Internship",
        "role": "Marketing",
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      {
        "id": 93257,
        "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.",
        "url": "https://www.ycombinator.com/launches/OG9-getasap-asia-8-hour-distribution-for-retailers-in-southeast-asia",
        "votes": 80,
        "created_at": "2025-08-22T03:54:59.748Z"
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    "name": "Meteor Labs",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Meteor Labs is a research company focused on providing a granular view of the data center supply chain.\r\n\r\nWe track upstream of the major data center buildout to understand the OEMs winning the market, the bottlenecks, and supply chain links.\r\n\r\nOur expertise in browser agents and AI helps us source this information from esoteric public filings across the web.",
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    "team_size": 2,
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    "launched_at": 1754469732,
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    "batch": "Summer 2025",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/meteor-labs",
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/meteorlabsai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 1531197,
        "full_name": "Pranav Madhukar",
        "title": "Founder/CEO",
        "founder_bio": "Finding valuable information from the public web at meteorlabs.ai. NSF-funded math at UChicago. FOIA nerd. Browser agent research.\n\nPrev CS @ UW where I built viral tools on campus and then raised $150k in university funding to encourage builders. ",
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        "linkedin_url": "https://www.linkedin.com/in/pranav-madhukar-pcm/",
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        "title": "Meteor Labs",
        "tagline": "A Browser that gets things done, on your behalf.",
        "body": "Hey everyone! 👋\n\nWe’re Pranav and Farhan – co-founders of Meteor Labs. And we’re on a mission to kill Google Chrome.\n\nMeteor is a browser that can do work on your behalf.\n\nDownload now: [www.browse.dev](http://www.browse.dev)\n\n# **The Problem**\n\nWe spend several hours each day on our browser doing boring, repetitive tasks. Sending out calendar invites, filling up repetitive forms, moving data from one website to another, creating spreadsheets etc.\n\n# **Introducing Meteor**\n\nMeteor is an agentic browser – our agents can perform tasks for you.\n\nManually setting up calendar invites? Just ask Meteor.\n\nSearching through dozens of websites to find the best price? Just ask Meteor.\n\nConfused how to configure your S3 Bucket? Just ask Meteor.\n\nMeteor is your very own personal assistant. Enhanced by your browser context.\n\n<https://youtu.be/tSWfNif7JGk>\n\n# **The Journey**\n\nPranav and Farhan met during orientation week at UW, and now we’re both dropped out of UW to build the future of browsing.\n\nA few weeks into our batch, we decided to fork Chromium (30M+ lines of code!) and rebuild our entire product from scratch. Simply compiling an instance of Chromium takes 8+ hours and over 200GB of disk space. 3 weeks later we are excited to launch our browser!\n\nPranav (CEO) previously built viral projects used by over thousands of students at the UW, and raised over $100k in university funding.\n\nFarhan (CTO) previously built an IDE for hardware design that compiles 60x faster than the industry standard.\n\n![uploaded image](/media/?type=post&id=92864&key=user_uploads/1531197/81663d2f-fdeb-4cfd-8e26-80f8c04013f8)\n\n",
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        "user_id": 2684979,
        "full_name": "Cathy Di",
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        "founder_bio": "Let us build the wings\n      so your agents can fly 🪽",
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        "linkedin_url": "https://www.linkedin.com/in/cathydi",
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        "full_name": "Windsor Nguyen",
        "title": "Founder/CTO",
        "founder_bio": "Moving electrons really fast.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/windsornguyen",
        "x_url": "https://x.com/WindsorNguyen",
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        "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/694An25-systems-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $250K",
        "equity_range": "0.50% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "id": 107469,
        "title": "Infrastructure Engineer Intern",
        "url": "https://www.ycombinator.com/companies/dedalus-labs/jobs/012beI1-infrastructure-engineer-intern",
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        "id": 107661,
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        "title": "Software Engineer, Infrastructure & Performance",
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        "title": "Amid the AI boom, Princetonians swap school for Silicon Valley - The Princetonian",
        "url": "https://www.dailyprincetonian.com/article/2026/04/princeton-features-profiles-dropout-school-startups-silicon-valley-ai-boom",
        "date": "Apr 10, 2026"
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      {
        "title": "Disrupting Industries: Highlights from the Latest YC Demo Day",
        "url": "https://nextunicorn.ventures/disrupting-industries-highlights-from-the-latest-yc-demo-day/",
        "date": "Sep 15, 2025"
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      {
        "title": "Y Combinator's Summer 2025 Demo Day Highlights Over 160 Startups with a Focus on AI Solutions",
        "url": "https://news.ssbcrack.com/y-combinators-summer-2025-demo-day-highlights-over-160-startups-with-a-focus-on-ai-solutions/",
        "date": "Sep 15, 2025"
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        "title": "The 9 most sought-after startups from YC Demo Day | TechCrunch",
        "url": "https://techcrunch.com/2025/09/15/the-9-most-sought-after-startups-from-yc-demo-day/",
        "date": "Sep 14, 2025"
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      {
        "title": "Dedalus Labs Review: Is This The “Vercel for AI Agents” We’ve Been Waiting For?",
        "url": "https://medium.com/design-bootcamp/dedalus-labs-review-is-this-the-vercel-for-ai-agents-weve-been-waiting-for-d52e764f3756",
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      {
        "id": 94675,
        "title": "Dedalus Labs: Build & Deploy Complex Agents in 5 Lines of Code",
        "tagline": "Build and deploy complex AI agents with any model and any tool in just 5 lines of code. No Docker files. No YAMLs. No wasted weeks.",
        "body": "# [**TL;DR:**](https://www.youtube.com/watch?v=E0FR4LBTSZo)\n\n_We’re excited to launch [Dedalus Labs](https://www.dedaluslabs.ai/), an AI-native cloud platform for developers to build agentic AI applications. Our [SDKs](https://github.com/dedalus-labs/dedalus-sdk-python) allows you to connect any LLM to any MCP servers – local or remotely hosted by us. No Docker files or YAML configs required._\n\n* **Blog:** https://dedaluslabs.ai/blog/dedalus-seed-round\n* **Product Demos:**\n  * https://www.youtube.com/watch?v=s2khf1Monho\n  * https://www.youtube.com/watch?v=4B1xuRCgLgA\n\n# **The Problem: Building Agents Is Hard**\n\nBuilding tool-using agents ≠ calling **_v1/chat/completions._**\n\nToday, developers are still stuck with:\n\n* Running their MCP servers locally.\n* If deploying remotely, wiring up AWS and config hell.\n* Juggling model quirks, streaming issues, and auth across GPT-4o, Claude 3.5, Sonnet, Flash, etc. (♾️ API keys).\n* Rebuilding everything just to add a new tool.\n\nWe were **_tired_** of writing hundreds of lines of code and battling Docker files and infra—all for a spaghetti agent that breaks under stress.\n\n**So, we built the tool we wished existed.**\n\n# **What We Offer: Complex Agents in 5 Lines of Code**\n\nDedalus invented the simplest way to build and deploy agents—a drop-in infrastructure layer that unifies models, tools, and orchestration.\n\nOur open-source SDK supports:\n\n* Vendor-agnostic model handoffs\n* Chaining both local tools and hosted MCPs\n* Real-time streaming across any provider\n\n—all in 5 lines of code.\n\nAnd our managed infra lets you **deploy an MCP server in 3 clicks**, so anyone can equip their agent with tools. No Docker files, no setup.\n\n# **Why MCP: Tools Made for Agents**\n\n[MCP (Model Context Protocol)](https://spec.modelcontextprotocol.io/) is becoming the standard for how models talk to tools. Think of it as an API that AI models already know how to call—reliable, predictable, and language-agnostic.\n\nAs more companies adopt MCP, exposing your product as an MCP server means you’re not just serving humans anymore—you’re serving _agents._\n\nWe’re building the infrastructure that powers that shift.\n\n# **Our Story: Two Princeton CS Students with High Standards**\n\nWe’re **Cathy** (ex-Voyage AI / Salesforce) and **Windsor** (ex-DeepMind / Sentient AGI).\n\nWe first ran into this problem while working with MCP during Windsor’s time at Sentient AGI. Every solution felt wrong: drag-and-drop GUIs, brittle configs, frameworks that broke under real workloads. Nothing met our standards for what good developer infrastructure should be.\n\nSo we built what we always wanted—a developer-first platform that makes agentic workflows composable, scalable, and effortless to ship.\n\n**If no one else is going to build it right, we will.**\n\n# **Get Started + Early YC Deal**\n\n* **Quick install:** **_pip install dedalus-labs_**\n* **Docs:** [docs.dedaluslabs.ai](http://docs.dedaluslabs.ai)\n* **YC Deal:** we’re giving $200 free credits to every YC company. Email [founders@dedaluslabs.ai](mailto:founders@dedaluslabs.ai) to claim your deal!\n\n![uploaded image](/media/?type=post&id=94675&key=user_uploads/1126811/4a1b700a-a1ab-41a3-a730-7b9a88b65500)\n\n_Let us build your wings_ so your agents can fly. 🪽",
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    "id": 30606,
    "name": "Acrely",
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        "full_name": "Alek Stefanov",
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        "founder_bio": "- Previously the founding eng @ Caseflood.ai (YC W25)\n- Carnegie Mellon CS \n-Winner of state-wide math olympiad in PA, built instagram accounts to millions of followers @ 14. ",
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        "id": 93313,
        "title": "Acrely: The AI Customer Service Representative for Home Services",
        "tagline": "24/7 Answering, Less Overhead, More Revenue",
        "body": "**TL;DR**\\\nAcrely is building the Voice AI Customer Service Rep (CSR) for Home Services that books jobs, dispatches contractors, and ensures a smooth customer experience. \n\nhttps://www.youtube.com/watch?v=g_VG5mD-K7k\n\n**The Problem**\\\nIn home services like HVAC, plumbing and electrical, every job starts with an urgent phone call because something broke. Customers expect enthusiasm and compassion, yet every business relies on a team of overworked CSRs. Calls slip to voicemail, jobs fall through the cracks, and constant churn in the office means no one really owns the customer experience. \\\n\\\nOutdated phone trees frustrate callers, slow down bookings, and make growth expensive. \\\n\\\n**Contractors lose thousands each month in missed revenue while their customers get service that feels decades behind.**\n\n**The Solution**\\\nAcrely provides an AI Customer Service Representative. It greets customers naturally, books jobs, dispatches techs, handles follow-up, and never misses a call. It’s not just voice AI - it integrates directly with ServiceTitan and other CRMs so jobs are booked, not just recorded. By replacing missed calls and inconsistent service with always-on, reliable customer care, contractors book more jobs, keep customers happier, and scale without adding headcount. We were originally building voice AI scheduling for real estate agents but home services businesses came inbound to us asking to use it.\n\n**In just 2 weeks, we pivoted and landed 6 customers.**\n\n**About Us**\\\nDerek and Alek are childhood friends from Pittsburgh who both went on to study Computer Science at Carnegie Mellon University. Alek was the founding engineer of Caseflood (YC W25), a vertical AI Agent for Law Firms, and Derek previously built communication software for lunar rovers and developed RL controls algorithms for self-driving racecars. \n\n**The Ask**\n\nIf you know home service business owners in HVAC, plumbing, electrical, or similar trades, we’d love an introduction. \\\n\\\nFeel free to reach out: founders@acrely.ai",
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        "title": "Halluminate: Data and sandboxes to train computer use AI 🖥️",
        "tagline": "We help labs and enterprises train frontier computer/browser use agents",
        "body": "# **Tldr**\n\nAI workers must learn how to use our computers, browsers, and software interfaces to deliver real-world value. Today, computer use agents are unreliable and inaccurate. Halluminate is building realistic sandboxes and datasets to train better computer/browser use AI. \n\n# **Ask**\n\nLooking to chat with researchers or founders training computer/browser use agents! \n\n# **❌ Problem**\n\nOpenAI’s Operator and Claude’s Computer Use give us a glimpse into the future where AI can take control of digital interfaces and do real work. \n\nPerformance today is inaccurate/unreliable. There are two bottlenecks to performance improvements.\n\n**First, reliance on real-world testing:** researchers today train/test their browser- and computer-use agents on real-world sites. This is\n\n* **Unsafe** - agent actions have real consequences and data impact\n* **Slow** - challenging to parallelize\n* **Difficult to reproduce** - the real world is dynamic; the starting conditions cannot be “reset” easily, and data changes\n* **Lots of noise -** proxy, captcha, auth/login, ads, etc,. make it difficult to do clean testing/training\n\n**Second, lack of high-quality data:** High-quality data provides the basis for evaluations and benchmarking. Producing this at scale is expensive, time-consuming, and logistically exhausting. \n\n# **💡 Our Solution**\n\n[Launch YC - Halluminate](https://www.loom.com/share/9085ae5542b54fa491c9a59115f1885b)\n\nAt Halluminate, we’re building a suite of products and services to address both these issues. \n\n* **Realistic sandboxes** – Fully managed, parallelizable environments modeled after popular systems (e.g., Salesforce, Slack, Ticketing Software, websites) for safe and accurate computer/browser use training and testing.\n* **Datasets** – proprietary benchmarks and datasets\n* **Evaluations -** high-quality error analysis powered by expert annotators to identify and prioritize the biggest failure modes for our customers\n\nOur customers see\n\n* Improved browser- and computer-use agent performance\n* New and emergent frontier agent capabilities\n* Data-driven prioritization leading to exponentially faster development speed\n* Increased revenue/sales via marketing from public benchmarks\n\n# **🌐 Our Mission**\n\nUnlock significant advancements in browser and computer use AI capabilities. We believe this is necessary to usher in a new generation of use cases, startups, and productive AI workers. \n\n# **📜 Backstory**\n\nWyatt and I met while studying CS at Cornell and have been living and working together for over 7 years.\n\nI previously led product/research at Capital One Labs, where I launched one of the first AI agents in banking. Wyatt previously was a Cornell Milstein scholar and did large-scale data engineering for 2 early-stage startups in NYC. \n\nWe faced these problems first-hand while building evals for browser/computer use agent companies. We didn’t see any good solutions, so we’re building one ourselves. \n\nWe’re in SF for the foreseeable future. Contact us if you wanna grab a coffee, go for a walk, or play pick-up basketball! \n\nEmails: [jerry@halluminate.ai](mailto:jerry@halluminate.ai), [wyatt@halluminate.ai](mailto:wyatt@halluminate.ai)\n\n# **🙏 Our Asks**\n\n* Follow us on socials (Jerry: [LinkedIn](https://www.linkedin.com/in/jerry-wu-7814b0100/), [Twitter](https://x.com/Jerr_Wu) Wyatt: [LinkedIn](https://www.linkedin.com/in/wyatt-marshall-a40797198/), [Twitter](https://x.com/wgm752))\n* Introductions to researchers and founders building computer/browser use agents\n* Introductions to experts in RL & post-training \n* Introductions to companies that sell training data to large labs\n\n![uploaded image](/media/?type=post&id=91428&key=user_uploads/993166/2e84352c-3f24-4830-91f4-adcfcae5ef61)\n\n",
        "url": "https://www.ycombinator.com/launches/Nme-halluminate-data-and-sandboxes-to-train-computer-use-ai",
        "votes": 42,
        "created_at": "2025-06-18T23:07:42.736Z"
      }
    ]
  },
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    "id": 30610,
    "name": "TraceRoot.AI",
    "slug": "traceroot-ai",
    "former_names": [
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    "website": "https://traceroot.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "TraceRoot is the open-source AI agent improvement platform. Turn production traces into actionable feedback and evals, closing the improvement loop with your coding agent.",
    "one_liner": "Open Source AI Agent Improvement Platform",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753318246,
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      "Open Source",
      "Infrastructure",
      "AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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    "regions": [
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      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/traceroot-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/traceroot-ai",
    "x_url": "https://x.com/TracerootAI",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/traceroot",
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc86727a443ac448343eba0a5ce27b88d63b2f8f.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 2543076,
        "full_name": "Xinwei He",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO at TraceRoot.AI.\nPrev. Research Scientist at Meta & Founding Engineer at Kumo.AI (Forbes 50 AI).\nStanford CS, published in top conferences including ICLR, NeurIPS, KDD.\nOSS Core Contributor: PyTorch Geometric.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/xinwei-he-586512134/",
        "x_url": "https://x.com/xinwei_97",
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    "jobs": [
      {
        "id": 84777,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/xLdkDw5-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript"
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      },
      {
        "id": 86084,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/RCbNRRq-software-engineering-intern",
        "location": "San Francisco, CA, US / Remote",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$4K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
          "Node.js",
          "Python",
          "React",
          "TypeScript"
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      {
        "id": 103799,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/9JpJdnw-founding-gtm",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$100K - $140K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "SQL",
          "Data Analytics",
          "Growth design",
          "Marketing design"
        ]
      },
      {
        "id": 105076,
        "title": "Developer Marketing Intern",
        "url": "https://www.ycombinator.com/companies/traceroot-ai/jobs/dk1ep2K-developer-marketing-intern",
        "location": "San Francisco, CA, US / Remote (US; CA)",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$4K - $6K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "Will sponsor",
        "skills": [
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          "Growth design",
          "Marketing design"
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    ],
    "news": [],
    "launches": [
      {
        "id": 92809,
        "title": "TraceRoot - Open source AI agents that automatically fix your production bugs",
        "tagline": "We help engineering teams fix production bugs faster using AI agents.",
        "body": "# TL;DR\n\nTraceRoot is an open-source debugging platform that helps engineers fix production issues faster by using AI agents that intelligently leverage structured context - including traces, logs, metrics, source code, GitHub PRs, issues, and Slack threads to analyze and resolve bugs efficiently.\n\nOur SDK just crossed 10,000 downloads and engineering teams are using our product to monitor, debug, and improve visibility for their production systems.\n\nhttps://www.youtube.com/watch?v=I9fjV_9dM-4\n\n# Our Story\n\nWe’re Stanford-trained engineers and ex-builders from [Kumo.AI](http://Kumo.AI) (Forbes AI 50), Meta Platforms, and AWS, where we fixed 300+ production bugs and experienced firsthand how painful debugging can be in distributed systems. It was so painful that we quit our jobs to solve this problem and [open-sourced](https://github.com/traceroot-ai/traceroot) it!\n\n# The Problem\n\nDebugging production issues today is a mess. Here's what happens:\n\n* You spot an error during release or in production. You open Grafana, check logs, jump to GitHub, scroll Slack, and try to piece things together.\n* Sharing findings? It’s a chain of screenshots, links, and DMs - super painful.\n* It takes engineers hours even days to fix a production bug.\n* Meanwhile, you're drowning in 10+ P0 bugs across multiple releases, and customers won’t stop pinging you on Slack.\n\n# Our Solution\n\nWe built TraceRoot, an agentic debugging platform that ties all your context together and helps your team get to the root cause.\n\n* AI agents automatically summarize the issue and trace logs, spans, and GitHub context into a single execution tree. Ask the agent any question you want to debug.\n* Once the issue is understood, generate GitHub issues or draft PRs directly from the platform.\n* Visual trace explorer that lets you zoom into log clusters, suspicious spans, and trace paths. You can guide the agent by selecting spans or contexts to focus on.\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/7af84b17-1836-4743-9590-dcdd3e862b8e)\n\n# The Ask\n\nIf you're stuck vide-coding through bugs or if your team spends a significant amount of engineering time fixing production issues. We’d love to help!\n\nGive our product a try! Schedule a meeting at https://cal.com/traceroot/30min or email us at [founders@traceroot.ai](mailto:founders@traceroot.ai)\n\n![uploaded image](/media/?type=post&id=92809&key=user_uploads/2543076/5670184a-7bc0-4f39-994e-1e9a297106c7)\n\n",
        "url": "https://www.ycombinator.com/launches/O8v-traceroot-open-source-ai-agents-that-automatically-fix-your-production-bugs",
        "votes": 27,
        "created_at": "2025-08-07T06:27:04.705Z"
      }
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  },
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    "id": 30611,
    "name": "AgentMail",
    "slug": "agentmail",
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    "website": "https://agentmail.to",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "AgentMail is the email inbox API for AI agents. It gives agents their own email inboxes, like Gmail does for humans.",
    "one_liner": "Email Inboxes for AI Agents",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1750990316,
    "tags": [
      "Developer Tools",
      "API",
      "Email"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
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    "status": "Active",
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      "America / Canada"
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    "url": "https://www.ycombinator.com/companies/agentmail",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/agentmail.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/agentmailto",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 698162,
        "full_name": "Haakam Aujla",
        "title": "Founder/CEO",
        "founder_bio": "Founder at AgentMail\nPrev quant researcher at Optiver",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/haaaujla/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49e356f9fbf79e77da670ff6c0df9fa27f1c193c.jpg"
      },
      {
        "user_id": 1149366,
        "full_name": "Michael Kim",
        "title": "Founder/CTO",
        "founder_bio": "Founder at AgentMail\nPrev @NVIDIA on Autonomous Vehicles\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hyun-michael-kim-281242220/",
        "x_url": "https://x.com/michaelhyunkim",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fca64e6a76cd628a51463a3d516235c35583849e.jpg"
      },
      {
        "user_id": 1310091,
        "full_name": "Adi Singh",
        "title": "Founder",
        "founder_bio": "Founder at AgentMail. Previously invested at Accel, StepStone Group,and Flex Capital. Former operator across accounting, edtech, and e-commerce.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adivirsingh13",
        "x_url": "https://x.com/adisingh",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a23a6aea2b77be113b65dfe676fd771bbb4ffd33.jpg"
      }
    ],
    "jobs": [
      {
        "id": 84801,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/x66bmSk-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "TypeScript",
          "DynamoDB"
        ]
      },
      {
        "id": 90991,
        "title": "Senior Engineer, Backend/Infra",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/952yKNS-senior-engineer-backend-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$250K - $400K",
        "equity_range": "1.00% - 2.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Amazon Web Services (AWS)"
        ]
      },
      {
        "id": 99327,
        "title": "GTM Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/MZN8Drx-gtm-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.10% - 0.40%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104427,
        "title": "Founding GTM & Operations Lead",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/c2CPSue-founding-gtm-operations-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$110K - $175K",
        "equity_range": "0.20% - 0.80%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104428,
        "title": "Founding PLG & Community Lead",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/tlOY6Ny-founding-plg-community-lead",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $175K",
        "equity_range": "0.20% - 0.70%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104429,
        "title": "Agent Experience Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/bTtTUQZ-agent-experience-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $190K",
        "equity_range": "0.30% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 113765,
        "title": "Developer Support Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/BrmNn3p-developer-support-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $140K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115147,
        "title": "Founding Product Engineer",
        "url": "https://www.ycombinator.com/companies/agentmail/jobs/uBDHJL8-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K - $250K",
        "equity_range": "0.50% - 0.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "AgentMail raises $6M to build an email service for AI agents | TechCrunch",
        "url": "https://techcrunch.com/2026/03/10/agentmail-raises-6m-to-build-an-email-service-for-ai-agents/?utm_source=dlvr.it&utm_medium=twitter",
        "date": "Mar 10, 2026"
      }
    ],
    "launches": [
      {
        "id": 91972,
        "title": "AgentMail - The API-first email provider for AI agents",
        "tagline": "Give AI agents their own email inboxes",
        "body": "# TLDR\n\nAgentMail is the first email provider for AI agents. Use our API to give your agents their own email inboxes.\n\n# Why?\n\nWe started building email agents because they can live within users’s inboxes in their inboxes and authenticate themselves with third-party applications. But building on top of legacy providers such as Gmail is a struggle. They\n\n* Lack API support for creating new inboxes\n* Charge monthly subscriptions per inbox\n* Impose restrictive rate and sending limits\n* Offer poor developer experience\n\nThese providers don’t scale with both inbox creation or volumes of emails sent/received that AI agents often face, so we’re rebuilding email infrastructure from scratch to enable this.\n\n# Solution\n\nAgentMail is an API-first email provider that gives agents their own inboxes to send, receive, and act upon emails. Think of it like Gmail, but with\n\n 1. Programmatic inbox creation and management\n 2. Usage-based pricing scaling with emails sent/received\n 3. No restrictive rate/sending limits\n 4. Real-time events over webhooks and websockets\n 5. Simple API key auth – no OAuth headaches\n 6. Built-in API permissions and agent guardrails\n 7. Semantic search across every inbox in organization\n 8. Automatic labeling with user-defined prompts\n 9. Structured data extraction\n10. And more on the way!\n\n# Demo\n\nIn this demo, we show how easy it is to build an email agent with AgentMail: https://youtu.be/1V7BISeFUTM\n\nIn this demo, we show an example of a voice + email agent built with AgentMail: [https://youtu.be/eG2fCsRK4RY](https://youtu.be/eG2fCsRK4RY?feature=shared)\n\n# Ask\n\nIf you are building agents that could use email capabilities, we would love to learn more about your company. You can reach us at [founders@agentmail.cc](mailto:founders@agentmail.cc)\n\nhttps://agentmail.to",
        "url": "https://www.ycombinator.com/launches/NvQ-agentmail-the-api-first-email-provider-for-ai-agents",
        "votes": 91,
        "created_at": "2025-07-08T22:02:41.115Z"
      }
    ]
  },
  {
    "id": 30612,
    "name": "truthsystems",
    "slug": "truthsystems",
    "former_names": [
      "Truth Systems"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8136f761e13642b6fed7c2f34b631be3b028652.png",
    "website": "https://www.truthsystems.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Truth Systems provides a compliance agent to govern the use of generative AI. It translates operational policies into intelligent, real-time guardrails that monitor every AI interaction. This empowers companies to proactively block non-compliant actions and align access to AI tools with user competency. By eliminating the risks and operational blind spots associated with uncontrolled AI adoption, our platform enables enterprises to fully leverage the technology's potential without compromising security. \r\n\r\nWe are establishing the new standard for AI governance, building a future where every professional can innovate safely and confidently.",
    "one_liner": "Automatically blocking risky behavior with real-time governance agents",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1753229882,
    "tags": [
      "B2B",
      "AI"
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        "full_name": "Alex Mac",
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        "id": 92878,
        "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",
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        "created_at": "2025-08-10T20:27:26.507Z"
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    "long_description": "Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. We do this by training RNA foundation models that learn the patterns that shape disease progression and patient response to treatment. We aim to help pharma make more informed decisions in clinical trials by capturing the biology that makes each patient’s tumour unique. \r\n\r\nWe’re a technical team of AI scientists and engineers from companies including Recursion, Deep Genomics, DeepMind, and Amazon, and institutions including Memorial Sloan Kettering Cancer Centre, Stanford, and the Vector Institute.",
    "one_liner": "RNA intelligence for precision medicine",
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        "full_name": "Jonny Hsu",
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        "full_name": "Philip Fradkin",
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        "founder_bio": "Building AI for the most designable molecule in the world: RNA\n\nPublished at top ML & Bio conferences including best paper at Foundation models for science @ Neurips. Built self-supervised learning applications for RNA, small molecules, and phenomics. Playing long term games in ML for Biology.\n\nOne of the first employees at Deep Genomics. PhD from University of Toronto. ",
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        "full_name": "Ian Shi",
        "title": "Founder/CTO",
        "founder_bio": "Building foundational models for RNA therapeutics at Blank Bio.\n\nJust defended my PhD in CS at the University of Toronto. Published at ICML, NeurIPS, Nature Comms; used 4 GPUs to pre-train an mRNA foundation model that beat competitors using months of compute on thousands of H100s. Now scaling our models to unlock new possibilities in the RNA therapeutic space.\n\nPreviously at Amazon building software, interned at Pinterest and Amazon as a research scientist in between.",
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      {
        "id": 92787,
        "title": "Blank Bio - Computational toolkit for RNA therapeutics",
        "tagline": "Building foundation models to design better RNA therapeutics, starting with mRNA design. ",
        "body": "Hey everyone, we’re [Jonny](https://www.linkedin.com/in/jonathanhsuuw/), [Ian](https://www.linkedin.com/in/ruian-shi-4b5215b9/), and [Phil](https://www.linkedin.com/in/philip-fradkin-330a417b/), co-founders of [Blank Bio](https://www.blank.bio/) 👋\n\nWe’ve spent decades applying machine learning to biology across academia (Ph.D.’s at the University of Toronto) and industry (Recursion, Deep Genomics, Amazon). \n\nhttps://youtu.be/7lULj-S-MgQ?feature=shared\n\n**TLDR:** \n\n* mRNA enables programmable, personalized medicine, from gene therapies to cancer vaccines. But with more possible sequences than stars in the universe, brute-force design is impossible.\n* We built a state-of-the-art RNA foundation [model](https://www.biorxiv.org/content/10.1101/2024.10.10.617658v3) to predict and design high-performing sequences, letting pharma **simulate costly experiments** and speed up timelines. \n* Our open-source models are used by Sanofi and GSK, and we’re working with the Arc Institute to power next-gen virtual cell models.\n* mRNA design is just the beginning. We’re expanding to applications like target identification, biomarker discovery, patient stratification, and more\n\n**Asks:** We’re looking to connect with pharma and biotech companies working on mRNA-based therapeutics (i.e. Moderna, BioNTech, Orbital etc.), CRISPR therapeutics (Scribe, Intellia, Editas, etc.), and biomarker discovery.\n\n📤If you know anyone in those spaces, we’d love an intro: [jonathan@blank.bio](mailto:jonathan@blank.bio) 📤\n\n**Who are we?**\n\n![uploaded image](/media/?type=post&id=92787&key=user_uploads/1842799/964fb41d-c751-418d-aecb-5dbbd0fc7405)\n\n* **Jonny**: One of the first employees at Valence Discovery, an AI for drug discovery company spun out of Mila. Acquired by Recursion (NASDAQ: RXRX). Biochemist by training (Waterloo) \n* **Ian**: 10 years of experience in comp bio. Prev. researcher at Memorial Sloan Kettering Cancer Centre (now leading the charge on cancer vaccines) and engineer at Amazon. Has a PhD in computer science (University of Toronto)\n* **Phil**: 12 years of experience in ML for bio. Spent 4 years at Deep Genomics, where he was one of the first employees. Has a PhD in computational biology (University of Toronto)\n\nPhil and Jonny previously worked together at Recursion. Ian and Phil have been collaborating for 5 years throughout their PhDs, doing ML research specifically for RNA biology. See preprints on early versions of the [model](https://www.biorxiv.org/content/10.1101/2024.10.10.617658v3) + [benchmark](https://www.biorxiv.org/content/10.1101/2025.07.05.662870v1). \n\n**What’s the problem?** \n\nmRNA is composed of four nucleotides (A, C, G, U). For the average mRNA therapeutic, there are \\~10²⁷⁰⁹ possible combinations. This is unimaginably larger than the number of stars that exist in the known universe. \n\nA suboptimal sequence can kill your drug discovery program, costing pharma companies billions of dollars. But testing all of the possible sequences is impossible. How can you design the best sequence? \n\n**What are we building?** \n\nA family of RNA-specific foundation models that simulate costly and time-consuming experiments, predicting key properties like **expression** (how much protein is made from the mRNA) and **stability** (how long it stays in the body) before experiments ever begin. \n\nWe’ve currently got the best **RNA foundation model**. It’s outperforming 59 models from leading research labs and companies. At 10M parameters, it’s lightweight and fast enough to run predictions on hundreds of sequences in seconds. The open-source model is already being used by **Sanofi and GSK**, and we’re also collaborating with the **Arc Institute** to bring our RNA embeddings into the next generation of virtual cells. \n\n**What’s next?** \n\n* We’re establishing a set of scaling laws that will bring a GPT-3 moment to RNA.  \n* We’re curating one of the largest transcriptomic annotation datasets in the world to power model training\n* As we improve the model, we’re expanding beyond mRNA design into a broader RNA toolkit, tackling problems like:\n  * Target ID\n  * Novel biomarker discovery \n  * Cell-type-specific mRNA design\n  * …and more 👀\n\nHere’s a peek into the vision that we’re building towards.\n\nhttps://youtu.be/ZgI7WJ1SygI\n\n**Our Ask**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/blank-bio) and[ X](https://x.com/blankbio_) \n* Share this post! \n* We’re looking to connect with pharma and biotech companies working on mRNA-based therapeutics (i.e. Moderna, BioNTech, Orbital, etc.), CRISPR therapeutics (Scribe, Intellia, Editas, etc.), and RNA biomarkers. An intro to anyone at these types of organizations would be huge. Please drop an email to [jonathan@blank.bio](mailto:jonathan@blank.bio)",
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        "votes": 28,
        "created_at": "2025-08-06T16:09:31.289Z"
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    "name": "Astor",
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    "long_description": "Astor is an AI investment advisor for retail investors.\r\n\r\nFounded by Bruno Koba (Nubank, monashees) and Daniel Tulha (Stripe, Robinhood), Astor gives every active investor an AI investment advisor working around the clock to surface their next great investment. We’re backed by YC (S25).\r\n\r\nRetail investors now account for 25% of all U.S. trading volume, nearly double from 2012. But over 56% still say they don’t feel confident in their investment decisions. Astor fixes that. \r\n\r\nOur AI agents uncover opportunities, decode emerging trends, and deliver analysis tailored to you. Instead of drowning in noise, investors gain a clear edge, shifting from guesswork to confident decision-making.\r\n",
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    "industry": "Fintech",
    "subindustry": "Fintech -> Consumer Finance",
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        "full_name": "Bruno Koba",
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        "full_name": "Daniel Tulha Hochstetler",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Astor, building an AI advisor for retail investors. Previously at Stripe, Robinhood & Amazon.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/daniel-hochstetler",
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        "date": "Apr 23, 2026"
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      {
        "id": 92883,
        "title": "Astor: Your Personal AI Investment Analyst",
        "tagline": "Astor supercharges research for individual investors",
        "body": "Hey 👋, we’re Bruno and Daniel, the founders of Astor.\n\n**TL;DR:**\n\nAstor is your personal AI investment analyst. It gives you the same market tracking, deep research, and real-time alerts that institutional investors rely on, now built for your portfolio.\n\n**The problem**\n\nRetail investors are fundamentally disadvantaged compared to professionals.\n\nInstitutional investors have teams of analysts tracking markets in real time, digging into data, and flagging opportunities before anyone else. Retail investors, meanwhile, have to piece together brokerages, news sites, and forums.\n\nThese tools haven’t changed in 15 years. In the U.S., 61% of adults — over 160 million people — own stocks, yet more than half say they don’t feel confident in their investment decisions. \n\nWe’re building Astor to level the playing field.\n\n<https://youtu.be/kFdGUuZ86uA?si=p6NZpPT6hkgxbKgi>\n\n**How does it work?**\n\nAstor is your personal AI investment analyst. It monitors markets 24/7, filters out noise, and delivers only the insights that matter for your portfolio. That could mean:\n\n* Spot catalysts before they hit the mainstream: e.g., flag unusual insider activity on a stock you own hours before it trends.\n* Deliver deep, tailored research: pull together data, filings, and expert commentary into concise, decision-ready briefs on any company or theme you care about.\n* Test and validate your ideas: run “what if” scenarios and uncover supporting or contradicting market data before you act.\n\nIt’s like having a Wall Street-grade analyst in your pocket — one that never sleeps, never misses a headline, and tailors everything to your holdings.\n\n![uploaded image](/media/?type=post&id=92883&key=user_uploads/1775091/4b7be896-ff26-47c0-834f-664eebfae195)\n\n**Who’s it for?**\n\nAny active investor who wants to move from reactive guesswork to deliberate, confident decision-making. \n\n**Backstory**\n\nWe’re two Brazilian fintech builders from São Paulo.\n\n* Bruno was a data scientist at Nubank, building machine learning models that impacted millions, and later a fintech investor at Monashees.\n* Daniel was a software engineer at Stripe, Robinhood, and Amazon, creating production-ready AI agents and scaling systems during meme stock booms and volatile markets.\n\nWe’ve seen both sides — the institutional edge and the retail struggle — and we’re building Astor to close that gap.\n\n![uploaded image](/media/?type=post&id=92883&key=user_uploads/1775091/e6d09b90-5d81-4a6a-bca0-1a22cc1ed668)\n\n**Ask**\n\nIf you invest, try Astor and tell us what you think. Sign up at[ ](https://joingaus.com)[joinastor.com](http://joingaus.com).\n\nYou can reach us directly at [founders@joingaus.com](mailto:founders@joingaus.com) — we’d love your feedback.\n\nThanks for your support,\n\nBruno + Daniel 📈",
        "url": "https://www.ycombinator.com/launches/OA7-astor-your-personal-ai-investment-analyst",
        "votes": 44,
        "created_at": "2025-08-10T19:24:56.563Z"
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    "id": 30615,
    "name": "Lanesurf",
    "slug": "lanesurf",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/baepaul",
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        "title": "Golpo: Create Whiteboard Explainer Videos with AI from a Prompt or Document",
        "tagline": "With Golpo, you can make high-quality explainer videos from your documents in minutes",
        "body": "# TL;DR\n\nHi, we're Shraman and Shreyas Kar, brothers and founders of Golpo AI: the most powerful AI whiteboard explainer video generator. Golpo is the world's best platform to create fully produced whiteboard explainer videos from just a prompt or document.\n\nInstead of hiring an agency, you simply input a prompt or document explaining what you want, and in minutes you get a whiteboard explainer video in a style similar to Khan Academy or RSA Animate — in 50+ languages.\n\nAfter creation, you can edit all aspects of the video with just prompts. Perfect for training, faceless YouTube, marketing, technical, and educational videos — any video where understanding is important.\n\nAsk: Create your first video for free:[ ](https://video.golpoai.com)[video.golpoai.com](http://video.golpoai.com)\n\n# The Problem\n\nIf you want a whiteboard explainer video today, you either hire an agency for thousands of dollars and wait weeks, learn professional video editing software which takes months to get good at and still requires a ton of time per video, or use a DIY whiteboard animation tool where you'll spend hours dragging elements around and the result still looks amateur.\n\n# Our Solution:\n\nPut in a prompt or document, get a professional fully produced whiteboard explainer video in minutes. After generation, you can edit all aspects of the video with just prompts. Videos can be anywhere from 15 seconds to 30 minutes (via API).\n\nWith our proprietary video generation engine, Golpo produces videos that feel authentic and engaging in a way no other AI video generator does.\n\nCreate your first video free and look at other videos created with Golpo at [video.golpoai.com](http://video.golpoai.com)\n\n# The Team\n\nWe are both brothers and **Stanford CS students** and have been building together our entire lives. \n\nShreyas Kar (CEO):\n\n* Researcher at Stanford’s Vision & Learning Lab under Dr. Fei-Fei Li\n* Co-Founder of the Stanford AI Club\n* USA Math Olympiad qualifier, RSI scholar, and ISEF Grand Prize winner\n\nShraman Kar (CTO):\n\n* International AI Olympiad bronze medalist (Team USA)\n* Research at Stanford Translational AI Lab (on foundational AI Vision models) and with Harvard Medical School Portal Group\n* Co-founder of Community AI (active in 38 countries and all U.S. states) with Shreyas\n\n# Our Ask:\n\n* Create your first video free at [video.golpoai.com](http://video.golpoai.com) \n* Book a Demo: <https://www.golpoai.com/calendar>\n* If you liked our product, tell your friends about it\n* Follow us on [LinkedIn](https://www.linkedin.com/company/golpo-ai/) and [Twitter](https://x.com/GolpoAI)",
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        "title": "Liva AI – Real Voice & Video Data for AI",
        "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)",
        "url": "https://www.ycombinator.com/launches/OAA-liva-ai-real-voice-video-data-for-ai",
        "votes": 50,
        "created_at": "2025-08-12T03:48:13.634Z"
      }
    ]
  },
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    "id": 30623,
    "name": "Playgent",
    "slug": "playgent",
    "former_names": [
      "Pharmie AI"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ad8d62052816b9ab3349fc92ba2137b2b1edb02.png",
    "website": "https://useplaygent.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "When enterprise agents fail in production, the conditions that caused the failure are critical: user state, data, tool calls, and context. Without a way to recreate these conditions, teams can't fix what broke.\r\n\r\nPlaygent provides infrastructure to create high-fidelity sandbox environments for AI agents. Our environments come packaged as a single MCP url where tool calls are mocked, authentication is abstracted away, and test data can be initialized via natural language or JSON specifications.\r\n\r\nTeams can use Playgent to reproduce production failures in safe, scoped environments that accurately reconstruct state. Finally, export runs as OTel traces from Playgent's environment to plug directly into your observability tools or RL pipelines.",
    "one_liner": "Sandboxes for AI agents",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
    "launched_at": 1754457298,
    "tags": [
      "SaaS",
      "Infrastructure",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Healthcare IT"
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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,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/playgent",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/playgent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/useplaygent",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 2671843,
        "full_name": "Neer Jain",
        "title": "Founder/CEO",
        "founder_bio": "Hey I'm Neer, cofounder of Playgent. We're building an Sandboxes for Agents!\n\nIn college, I studied Math, Business, and CS at UT Austin and worked in product and engineering roles at multiple early stage AI startups. At Visa, I launched features used by thousands of banks and built internal tools.\n\nFeel free to reach out -- neer@useplaygent.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/neer-jain/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27de95e4ccb8ea8f4a00c5acf84b72064dbd0cdd.jpg"
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      {
        "user_id": 969465,
        "full_name": "Aniruddh Sriram",
        "title": "Founder/CTO",
        "founder_bio": "Hi! I’m Aniruddh - co-founder of Playgent! We are building sandboxes for AI agents. I did 4 years of NLP research with publications in EMNLP/ACL and was on-route to pursue a PhD when I decided to join YC.\n\nIn my free time, I like writing articles on Medium, playing basketball, and doing acrylic art.\n\nYou can reach me at aniruddh@useplaygent.com!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aniruddh-sriram/",
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    "launches": [
      {
        "id": 92806,
        "title": "Pharmie AI - Your AI Pharmacy Technician",
        "tagline": "AI voice/text agents that handle pharmacy admin so staff don’t have to",
        "body": "We’re excited to share Pharmie, an AI assistant for pharmacists. Check out our [launch video](https://youtu.be/pFKd8YJ6vsQ) and [website](https://www.pharmie.app/)!\n\n**The Problem**\n\nPharmacies are overwhelmed with phone calls about refills, insurance questions, chasing doctors, and handling appointment logistics. This nonstop volume creates constant interruptions, forcing pharmacists and technicians to multitask and context-switch throughout the day. As a result, staff burn out quickly, turnover is high, and time is lost retraining replacements.\n\n**What’s Pharmie?**\n\n**Pharmie is your always-on AI pharmacy assistant.** It never gets tired, works autonomously, and plugs directly into your pharmacy management system to streamline communication and boost efficiency.\n\nPharmie can:\n\n* **Answer inbound calls 24/7:** no more missed calls or hold times\n* **Process refills, transfers, and appointments:** fully automated, no staff intervention needed\n* **Verify insurance and handle patient questions:** from copays to medication availability\n* **Upsell pharmacy services:** intelligently offers vaccines, delivery, or sync programs based on the conversation and patient history\n\n**How It Works**\n\nPharmie seamlessly integrates with your existing pharmacy management system (PMS) to automate phone calls, refills, and patient communication.\n\nDuring onboarding, we work closely with you to:\n\n* Connect to your PMS or set up secure workflows if a direct integration isn’t available\n* Give Pharmie pharmacy-specific information like store hours, address, staff names, services offered, and policies\n* Train Pharmie on your workflows (e.g. how you handle refills, transfers, insurance, and voicemails)\n* Customize messaging for promotions, vaccine reminders, and targeted outreach campaigns\n* Set up call routing and escalation rules to transfer to your team when needed\n\nWe’re already in production at 4 locations, cutting phone volume by 70% and helping teams focus on patient care instead of call chaos.\n\n**The Team**\n\nAniruddh and Neer met freshman year of high school and instantly bonded over their love for math and science. Since then, they’ve worked on all types of projects together from personal gadgets to sophisticated sports betting models that generated 6-figure profit.\n\n![uploaded image](/media/?type=post&id=92806&key=user_uploads/2671843/472d3c8e-7a05-494f-8149-e7fdd21b5942)\n\nIf you know a pharmacist or work with pharmacies, shoot us a message at [**founders@pharmie.app**](mailto:founders@pharmie.app)",
        "url": "https://www.ycombinator.com/launches/O8s-pharmie-ai-your-ai-pharmacy-technician",
        "votes": 43,
        "created_at": "2025-08-07T00:47:21.168Z"
      }
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    "id": 30624,
    "name": "Verne Robotics",
    "slug": "verne-robotics",
    "former_names": [
      "Verne Labs"
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    "website": "https://vernerobotics.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Verne builds general‑purpose physical AI. We deploy robots to expand the productive capacity of the physical world.",
    "one_liner": "AI models that teach robots new skills in hours",
    "team_size": 7,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1753480338,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "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/verne-robotics",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/verne-robotics.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vernerobotics",
    "x_url": "https://x.com/VerneRobotics",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1318663,
        "full_name": "Neil Nie",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO of Verne Robotics (S25)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/neilnie",
        "x_url": "https://x.com/neil_nie_",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8ab4e9b2aa4d380206db2c606decb90832fbea8.jpg"
      },
      {
        "user_id": 415610,
        "full_name": "Aditya Jha",
        "title": "Founder",
        "founder_bio": "Co-founder and COO of Verne Robotics (S25)\n\nPreviously: Cornell, Microsoft, writing poetry, running marathons",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/adityajha21",
        "x_url": "https://x.com/nolitadrip",
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    "jobs": [
      {
        "id": 85597,
        "title": "Robotics Operator ",
        "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/7LFahea-robotics-operator",
        "location": "San Francisco, CA, US",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$20 - $30 / hourly",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 86696,
        "title": "Robotics Data Infrastructure Engineer",
        "url": "https://www.ycombinator.com/companies/verne-robotics/jobs/9SnPqFO-robotics-data-infrastructure-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$110K - $175K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Python"
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    ],
    "news": [],
    "launches": [
      {
        "id": 92471,
        "title": "Verne Robotics: Robot Arms that Learn New Skills in Hours",
        "tagline": "The Robots of the Future, Arriving Today",
        "body": "**TL;DR:** We’ve developed the SOTA model for controlling robot arms, allowing our arms to learn new skills in hours instead of weeks. This enables rapid deployment and a unique business model where we can let companies pay by-the-hour, instead of requiring massive capex. We already have a biotech unicorn using our robots in production to package delicate chemical vials.\n\nhttps://www.youtube.com/watch?v=WHzjweFnbkk&feature=youtu.be\n\n# **The Problem: Robots are difficult to deploy & have fixed workflows**\n\nTraditional robot arms often require months of custom engineering and planning to integrate. These bulky, rigid, and expensive systems take up substantial floor space and are hard-coded for a single workflow. Adapting to new tasks means weeks of downtime and reprogramming. As a result, companies often default to increasing headcount to keep up with demand.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/7be314c8-ffa9-46e3-82cf-34b72e78c2cd)\n\n# **What we do: Drop-in autonomous robot arms that deploy in days**\n\nOur first product – Nemo3 – is a bimanual robot that can handle objects within a 2.5-foot radius, supports payloads up to 4 lbs, and can be mounted flexibly in various environments. Unlike traditional robot arms, Nemo3 rapidly learns new tasks and adapts to changing conditions on the fly. Our AI decomposes 30 minutes of tele-operation data into skills and uses diffusion models to learn each skill. The result is fast and robust automation for our customers. \n\nAs one of our customers put it: “What surprised me most was how fast you set it up. After one weekend it was set up.” It took us just 4 days to get the robot deployed at ABClonal - from unpacking the robot to automating the vial packing task.\n\n# **Who needs this**\n\nOur robots excel at dexterous manipulation tasks. Here are a few industries we can help:\n\n* DTC Meal Kits: Speed up meal kit assembly with automated packing. \n* Consumer Packaged Goods: Automate kitting to create variety packs with mixed SKUs. \n* Warehouses/Logistics: Sort parcels and pack irregular items faster and at lower cost.\n* Biotech: No more manual clean room disinfection or glovebox work\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/13eac3c1-2454-494a-9bcc-85819cd28f34)\n\n# **Our Ask**\n\nDo you know any manufacturers, distributors, or logistics companies burning time & money on repetitive manual tasks? Maybe they’ve tried other solutions and think it’s impossible to automate?\n\nReach us at: [founders@vernerobotics.com](mailto:founders@vernerobotics.com)\n\nBook a time: https://cal.com/vernerobotics/30min\n\n# **The Team**\n\nNeil is a leading robot learning researcher from Columbia and Stanford. At Columbia he was advised by Prof. Shuran Song and at Stanford he was advised by Prof. Jiajun Wu, as part of the Vision & Learning Lab led by Prof. Fei-Fei Li. Neil holds two patents on multi-modal perception from his time at Apple, where he helped build the Apple Vision Pro. Neil left his PhD at Berkeley to start Verne Robotics.\n\nAditya led Azure Copilot from private preview to GA Launch on Microsoft’s product team. He graduated Phi Betta Kappa from Cornell University. \n\n🤝 We met in high school tinkering with robots and now our mission is giving every company access to automation.\n\n![uploaded image](/media/?type=post&id=92471&key=user_uploads/1318663/d410a5f6-dcca-419e-a884-8b09536ae157)\n\n",
        "url": "https://www.ycombinator.com/launches/O3T-verne-robotics-robot-arms-that-learn-new-skills-in-hours",
        "votes": 87,
        "created_at": "2025-07-26T14:02:02.689Z"
      }
    ]
  },
  {
    "id": 30625,
    "name": "LLM Stats",
    "slug": "llm-stats",
    "former_names": [
      "ZeroEval",
      "CallingBox"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a26ef8cd21c96b9e05cbe02e5462bd2096d53b7.png",
    "website": "https://llm-stats.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "We build independent and contamination-proof benchmarks that measure real world performance.\r\n\r\nLLM Stats is the most complete LLM leaderboard. We have the most complete archive of LLM benchmark results and also run independent evaluations that are not the classical ones that are already in the training data of most models.\r\n\r\nOur mission: become the biggest community dedicated to AI transparency.",
    "one_liner": "Independent AI evaluations lab",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1755052091,
    "tags": [
      "Infrastructure",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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,
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    "url": "https://www.ycombinator.com/companies/llm-stats",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/llm-stats.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/llm-stats",
    "x_url": "https://x.com/LlmStats",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 562577,
        "full_name": "Jonathan Chávez",
        "title": "Founder",
        "founder_bio": "Co-Founder at LLM-Stats.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jonathanchatab",
        "x_url": "https://x.com/pirchavez",
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      {
        "user_id": 208921,
        "full_name": "Sebastian Crossa",
        "title": "Founder",
        "founder_bio": "Co-Founder @ LLM Stats. Previous founding engineer at Micro building the future of email (backed by a16z), as well as founding engineer at Atrato Pago (W21). Formerly built and scaled Minecraft servers during my spare time during highschool.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/sebastiancrossa",
        "x_url": "https://x.com/sebcrossa",
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    "launches": [
      {
        "id": 93136,
        "title": "ZeroEval - Build self-improving agents",
        "tagline": "A tool to evaluate and optimize AI agents using human feedback.",
        "body": "![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/328fd273-24d5-4307-9322-075a26467fe9)\n\nHey everyone, we're Sebastian and Jonathan - founders of ZeroEval.\n\n### **TL;DR**\n\nZeroEval is a tool that helps you build reliable AI agents through evaluations that learn from their mistakes and get better over time.\n\nhttps://www.youtube.com/watch?v=hSkpdHE7mCs\n\n### **The problem**\n\nEvaluating complex AI systems is hard and time consuming. The more complex your agents get, the harder this issue becomes. This is especially the case when building:\n\n1. Long-running, multi-turn agents with dozens of intermediate tool calls \n2. Agents where you want to measure the quality of images, video, generated UI, audio, personality, taste, etc\n\n**Current offline eval methods are high-friction**, a lot of work is needed to continuously curate labeled data and write experiments and evaluators. \n\nOn the other hand, **current LLM judges are static and often have terrible performance**, they lack context on how they fail and the nuances of the task at hand. \n\nYour AI agents are as good as your evals. Without them, surpassing the quality threshold your product needs will feel like a never-ending task.\n\n### **What we’re building**\n\nA way to create **calibrated LLM judges** that get better over time the more production data they see and the more incorrect samples are labeled. The more you teach it on where it's failing, the more reliable it becomes.\n\nOnce you have a judge that matches the human preference baseline, you can continue using it on production data or in offline experiments.\n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/f815b7cf-a84e-4285-974d-1ffc943889ad)\n\nWe’re also introducing **Autotune**, a way to do automatic evaluation on dozens of models and prompt optimization based on a few human samples.\n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/954461b0-5b4a-42b9-b464-0a698c3f6fd0)\n\nWe envision a future where AI software improves based on human feedback, where developers define the evaluation criteria as a starting point and errors back propagate to find the optimal implementation.\n\n### **The team**\n\nWe met during their first year of college in Mexico over 7 years ago. During that time they worked on side projects together, joined a leading fintech startup as first engineers and most recently built [llm-stats.com](http://llm-stats.com), a leading LLM leaderboard website that reached 60k MAU and  ⅓  million unique users since its launch a few months ago.\n\n* **Sebastian** was founding engineer at Micro building the future of email (backed by a16z), as well as founding engineer at Atrato (YC W21).\n* **Jonathan** was an early employee on the LLM observability team at Datadog. He did undergrad research on vision transformers for particle physics and RL for robotics.\n\nFoundational models have transformed the world. We’re building the second line of offense to fill their capability gaps and create AI products that actually work. We are determined to build the engine behind self-improving software for the following decades. \n\n![uploaded image](/media/?type=post&id=93136&key=user_uploads/208921/b912b213-762c-42ba-8fe5-dd39de8dd748)\n\n### **Our ask**\n\nIf you have AI agents in production and are struggling to measure their quality and/or achieve the reliability needed for your product's success, we’d love to chat!\n\nWe don't just deliver a tool, but will sit with you to understand your pain points and help you build high quality evals.\n\nFeel free to reach out at [founders@zeroeval.com](mailto:founders@zeroeval.com) or [book a demo](https://cal.com/team/zeroeval/demo).",
        "url": "https://www.ycombinator.com/launches/OEC-zeroeval-build-self-improving-agents",
        "votes": 35,
        "created_at": "2025-08-19T15:36:48.670Z"
      }
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  {
    "id": 30626,
    "name": "ContextFort",
    "slug": "contextfort",
    "former_names": [],
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    "website": "https://contextfort.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "ContextFort gives security teams visibility and controls for AI browser agents.\r\nIt’s a Chrome extension that:\r\nDetects when an AI agent takes control of the browser\r\nRecords every action during the session (pages visited, clicks, text entry) \r\nProvides controls to prevent risky actions and cross-site data leakage",
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    "long_description": "Lark lets teams write end-to-end tests in plain English. Validate dashboards, APIs, SDKs, and full product flows without maintaining fragile test code. Run continuously on feature branches, in CI, or in production.",
    "one_liner": "The E2E testing layer for AI-driven development",
    "team_size": 5,
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        "full_name": "Vijit Dhingra",
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        "founder_bio": "Vijit is the co-founder of Lark. \n\nHe previously spent five years at a Stripe as a tech lead where he built their usage based billing product and other payments infrastructure. He also contributed to testing infra at Stripe to improve developer productivity and product reliability. ",
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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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        "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.",
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        "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)",
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    "id": 30634,
    "name": "Bitrig",
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    "website": "https://bitrig.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Made by co-creators of SwiftUI, Bitrig is an AI development environment for Apple platforms. It works with real Xcode projects, features built-in simulators, and automates the App Store Connect busy work. You can add in-app purchase and publish to the App Store with just a prompt. Bring your own Claude or ChatGPT subscription.",
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    "industry": "B2B",
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    "launched_at": 1755626076,
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    "year_founded": 2025,
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    "country": "US",
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        "full_name": "Kyle Macomber",
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        "full_name": "Tim Donnelly",
        "title": "Founder",
        "founder_bio": "Co-founder at Bitrig.\n\nPreviously SwiftUI at Apple, Square, co-founder at Storehouse (acquired by Square).\n\nBFA Design, University of Washington.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/timdonnelly",
        "x_url": "https://twitter.com/tdonnelly",
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      {
        "user_id": 831421,
        "full_name": "Jacob Xiao",
        "title": "Founder",
        "founder_bio": "Jacob is a co-founder of bitrig.\n\nBefore bitrig, Jacob spent 15 years at Apple, where he co-created and led the development of SwiftUI. He also contributed to Xcode and UIKit during his time there. Prior to Apple, Jacob built Opacity, a graphical design tool.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jacob-xiao-3bb71329/",
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    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93186,
        "title": "Bitrig – Vibe code, test, and deploy Swift apps. All from your iPhone.",
        "tagline": "From the creators of SwiftUI",
        "body": "Hi! We’re [Kyle](https://www.linkedin.com/in/kylemacomber/), [Jacob](https://x.com/jacobx), and [Tim](https://www.linkedin.com/in/timdonnelly/), the co-founders of [Bitrig](https://www.bitrig.app).\n\nBitrig is the only vibe coder that writes native Swift, which is how the top mobile apps are coded. It’s like Lovable for iPhone apps.\n\n[Download](https://apps.apple.com/us/app/bitrig/id6747835910) on the App Store today!\n\nhttps://youtu.be/e-DqSVEI50w\n\nWe’re longtime Apple veterans:\n\n* Kyle and Jacob are co-creators of SwiftUI, the framework Apple says is the “the best way to build an app,” and led its development for the past 10 years.\n* Tim was a co-founder and designer of Storehouse, where he won an Apple Design Award and was later acquired by Square. At Apple he rewrote the fluid animation system that powers the experience of 1.5 billion iOS users worldwide.\n\n![uploaded image](/media/?type=post&id=93186&key=user_uploads/547131/634b45de-4ef4-471c-9437-e0dd42eb28d9)\n\nBitrig lets you build native apps for your phone, on your phone. Just by chatting with AI.\n\nIf you’re a designer or PM, Bitrig lets you use the same technology as the developers on your team. If you’re a student, Bitrig is the easiest possible way to get started with Swift.\n\nIt’s fast, it’s fun. You can make a change to your app anytime and anywhere inspiration strikes. And it’s as easy to share your creation as airdropping a photo.\n\nBitrig is a one-stop shop. Vibe code, test, and deploy Swift apps. No Xcode required.\n\n[Download](https://apps.apple.com/us/app/bitrig/id6747835910) on the App Store today!\n\n![uploaded image](/media/?type=post&id=93186&key=user_uploads/547131/6c49fb4f-5e57-4a04-b226-b57a869b9389)\n\n_Behind the scenes: To make Bitrig possible we wrote a custom Swift interpreter. Kind of a crazy thing to do. But the best mobile apps use the native SDK directly, and we wanted to make that level of quality as accessible as possible._",
        "url": "https://www.ycombinator.com/launches/OF0-bitrig-vibe-code-test-and-deploy-swift-apps-all-from-your-iphone",
        "votes": 35,
        "created_at": "2025-08-20T14:38:39.234Z"
      }
    ]
  },
  {
    "id": 30636,
    "name": "EffiGov",
    "slug": "effigov",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7ff2d4057e1128c01e602989e199ee71f53d392.png",
    "website": "https://effigov.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EffiGov is building an AI OS for local governments. We've started with AI call operators that answer 311 and departmental lines 24/7 - handling everything from permit applications to animal control.",
    "one_liner": "The AI OS for Cities",
    "team_size": 3,
    "industry": "Government",
    "subindustry": "Government",
    "launched_at": 1755582399,
    "tags": [
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2025",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/effigov.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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        "user_id": 1860781,
        "full_name": "Aubteen Pour-Biazar",
        "title": "Founder/CEO",
        "founder_bio": "Building the AI OS for cities. Fmr White House, City Gov",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aubteen-pour-biazar/",
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      {
        "user_id": 1410719,
        "full_name": "Aden Clemente",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI OS for cities. Prev built an enterprise AI agents product @ Atlassian and studied CS @ Duke",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aden-clemente",
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    "jobs": [
      {
        "id": 103570,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/effigov/jobs/ZtQu2FO-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.60% - 3.00%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 93160,
        "title": "EffiGov - The AI Call Center for Local Governments",
        "tagline": "24/7 constituent service, without the wait",
        "body": "EffiGov is a Voice AI call center for local governments that answers constituent questions, files service requests, and routes calls to the right department. Today, residents calling city hall are often bounced between departments, asked to repeat themselves, and left waiting for answers - a process that frustrates the public, exhausts staff, and slows governments down. \n\nFewer than 2% of cities can afford a centralized 311 call center to fix this - for everyone else, it’s been cost-prohibitive. We change that. \n\nWith EffiGov, cities get 24/7 coverage, reduced staffing strain, and fewer misroutes. Residents get answers and action in one call - day or night.\n\nWe’re already live in a county of 160,000 residents, where EffiGov is handling constituent service calls around the clock. Here’s a photo from our onsite visit with their Assistant County Administrator:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfQ0o-fGuHAxsodOLezKjnidHiR4FLxtQvDCkCveHfG-uJSO1BrBvYu75RVNwnfWH6Yry05sUNHJmlxE8JiUrx7OJNurz1EhJcDehnQckFeyygi6TeTfTcwanXncl-7b7crxOOE6A?key=O0mj2zmftTTinKhFm2HN-w)\n\nWho we are: We’re friends from college who’ve been building govtech for the past 12 months. Aubteen is a former White House intern who has spent years working with local governments; Aden launched Atlassian’s AI agent, Rovo.\n\nOur ask: Know someone in city government - especially leadership or constituent-facing services? We’d love an intro. [founders@effi-gov.com](mailto:founders@effi-gov.com) \n\n_Every call answered. Every constituent heard. Every community served._\n\nhttps://youtu.be/lRKtludzPk8\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdQZXqkxVMvDHbNaZXIzCPN7bKXkK4RiLPeRB6NZXGzsDE7gOfHR46L7FtGP8xZaJZokLu_5X8CsEUsNtA8fOhAJmUHbIe1lXa7b1PgIYPvrhZbq2xQFbRsrNjY8ZAo9GNRvtJh?key=O0mj2zmftTTinKhFm2HN-w)\n\n",
        "url": "https://www.ycombinator.com/launches/OEa-effigov-the-ai-call-center-for-local-governments",
        "votes": 76,
        "created_at": "2025-08-20T01:12:57.595Z"
      }
    ]
  },
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    "id": 30637,
    "name": "Design Arena",
    "slug": "design-arena",
    "former_names": [
      "Arcada",
      "Design Arena",
      "Arcada"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ac909ee76924412f3072f355a4f8129e69e1478.png",
    "website": "https://www.designarena.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "World's largest crowdsourced benchmark for AI-generated design",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1753857560,
    "tags": [
      "Design",
      "Crowdsourcing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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/design-arena",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/design-arena.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/design-arena-ai/",
    "x_url": "https://x.com/designarena",
    "fb_url": null,
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    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ac909ee76924412f3072f355a4f8129e69e1478.png",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 876530,
        "full_name": "Grace Li",
        "title": "Founder/CEO",
        "founder_bio": "CS & Neuroscience @ Harvard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/grace-li-721a4017b/",
        "x_url": "https://x.com/grx_xce",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01f581fa21b7552b096fa6252e4bb1b2ba6fd17e.jpg"
      },
      {
        "user_id": 2782978,
        "full_name": "Kamryn Ohly",
        "title": "Founder/CTO",
        "founder_bio": "CS & Education @ Harvard",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kamrynohly/",
        "x_url": "https://x.com/kamrynohly",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/633ccddcd39c16143d431fd5dad73fcf4fe14039.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "DesignArena creators raise $7.9 million to bring taste to AI models | TechCrunch",
        "url": "https://techcrunch.com/2026/08/03/designarena-creators-raise-7-9-million-to-bring-taste-to-ai-models/",
        "date": "Aug 03, 2026"
      }
    ],
    "launches": [
      {
        "id": 92609,
        "title": "Design Arena - #1 Benchmark for AI Design",
        "tagline": "Attracted 47K+ users across 136 countries in 4 weeks",
        "body": "**📣 TLDR**\n\n[**Design Arena**](https://www.designarena.ai/) **is the first crowdsourced benchmark for AI-generated design.**\n\nWe evaluate how models perform on real-world design tasks - frontend, audio, image, video and more - with live, organic users. It’s the first step of our broader **mission at [Arcada Labs](http://Arcada.dev) to** **distill and understand the human experience.**\n\n![uploaded image](/media/?type=post&id=92609&key=user_uploads/876530/8919d5ba-9d0e-47e0-9cb9-83ed83b21630)\n\n**❌ Problem**\n\nLLMs can pass bar exams and win IMO gold, but they still generate UIs with white text on a white background. \n\nThere’s no standard to measure taste, usability, or aesthetics, and no benchmark means no pressure to improve.\n\n**🏆 Solution**\n\nhttps://www.youtube.com/watch?v=Ay89pA_wUHM\n\nWe’re building the definitive benchmark for AI-generated design.\n\n![uploaded image](/media/?type=post&id=92609&key=user_uploads/876530/134587f7-3fb8-4a2f-9a8b-d001c05d68da)\n\n**🫶 Ask**\n\nKnow someone you want to see on the leaderboard? Send us a message at [**founders@designarena.ai**](mailto:founders@designarena.ai)!\n\n**💛 Team**\n\nWe’re all best friends from Harvard! \n\n**Kamryn Ohly** (CTO): Harvard Computer Science & Education, prev. Apple\n\n**Grace Li** (CEO): Harvard Computer Science & Neuroscience, prev. Apple",
        "url": "https://www.ycombinator.com/launches/O5h-design-arena-1-benchmark-for-ai-design",
        "votes": 36,
        "created_at": "2025-07-31T17:46:37.941Z"
      }
    ]
  },
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    "id": 30638,
    "name": "Lotas",
    "slug": "lotas",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b64e79cf442071bbe251c8f19acacccc3dbf1fea.png",
    "website": "https://www.lotas.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Quantitative trading",
    "one_liner": "AI for quantitative trading",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Analytics",
    "launched_at": 1754374450,
    "tags": [
      "Developer Tools",
      "Data Science",
      "Data Visualization",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Analytics"
    ],
    "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/lotas",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/lotas.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/lotas/",
    "x_url": "https://x.com/lotas_ai",
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    "github_url": "https://github.com/lotas-ai",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1845082,
        "full_name": "Jorge Guerra",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO Lotas — quantitative trading with AI\nHarvard '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jorge-o-guerra",
        "x_url": "https://x.com/jorgeguerrajr",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9188857caef45433587c3241d504b930d7b6921.jpg"
      },
      {
        "user_id": 1846075,
        "full_name": "William Nickols",
        "title": "Founder/CTO",
        "founder_bio": "Founder/CTO Lotas — quantitative trading with AI\nHarvard '24",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/willnickols/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4224a64ec156b9f0c6f404911435d3f531a7524c.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 92746,
        "title": "Lotas — Cursor for Data Science",
        "tagline": "Building a secure, AI-native IDE for data scientists",
        "body": "Hey everyone! We’re Jorge and Will from Lotas. We’re building a secure, AI-native IDE for data science—and as a first step, we’ve built an AI coding assistant into RStudio (think Cursor for RStudio). We’re looking for RStudio users, data scientists, and students who want to code way faster and are excited to see AI integrated into data science workflows.\n\nhttps://www.youtube.com/watch?v=c47Ch1kB0eU\n\n❌ Problem\n\nRStudio is used by about 5 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have an equivalent tool that’s truly integrated into their day-to-day workflow. And more broadly, data science teams need an AI-native environment that understands notebooks, dataframes, plots, and multi-language workflows—without forcing work into the cloud or tools they don’t use.\n\n✅ Solution\n\nWe’re building a secure, AI-native IDE for data science that is context-aware (files, variables, terminals), can read and write code, run analyses, and interpret textual or visual output across R and Python to start. While we build this IDE, we’ve shipped Rao: a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with the file formats RStudio users already rely on (R, notebooks including RMDs and QMDs, Python, Stan, etc.), so you can iteratively perform entire data analyses inside your preferred IDE today—and help us design the next one.\n\n👨‍🎓 Who we are\n\nBoth of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated coding assistants were taking off in other IDEs, but RStudio integrations lagged behind. Many R users were copying and pasting code from ChatGPT to build their workflows, which was slow and fragile. Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) completely focused on Python notebooks, or (3) weak package-based assistants with limited functionality. We’re closing these gaps—first with Rao, and next with a purpose-built IDE for data science.\n\n🚀 Try Rao & get early access\n\nYou can download Rao, watch our demo, and work through example use cases. If you’re interested in a secure, AI-native IDE for data science, contact us for an early preview!\\\n\\\n✉️ **Contact**\\\nYou can reach us at [founders@lotas.ai](mailto:founders@lotas.ai) and follow us on [LinkedIn](https://www.linkedin.com/company/lotas/) and [X](https://x.com/lotas_ai).\n\n![uploaded image](/media/?type=post&id=92746&key=user_uploads/1845082/a6d066f2-358c-46b1-959e-6e2618b44df4)\n\n",
        "url": "https://www.ycombinator.com/launches/O7u-lotas-cursor-for-data-science",
        "votes": 14,
        "created_at": "2025-08-05T16:49:32.810Z"
      }
    ]
  },
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    "id": 30640,
    "name": "Monarcha",
    "slug": "monarcha",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ca14064cb81ecebe2c5dd03339d7a44f1e9320f.png",
    "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": [
      "Geographic Information System",
      "B2B",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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/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/",
    "x_url": "https://x.com/monarcha_ai",
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        "full_name": "James Spokes",
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        "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",
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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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    "long_description": "Orange Slice is a spreadsheet where every column is TypeScript—and AI writes it for you. Describe what you want in chat (\"find the CEO's LinkedIn and get their email\"), and we generate the code, create the columns, and run it across thousands of rows. Our fully-typed SDK has 100+ enrichments built in: LinkedIn, contact info, company data, web scraping, AI research. Columns automatically execute in dependency order. No workflow builders—just describe it or code it.",
    "one_liner": "Agentic sales enrichment spreadsheet",
    "team_size": 2,
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    "subindustry": "B2B -> Sales",
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        "full_name": "Vihaar Nandigala",
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        "founder_bio": "Founder and CEO at OrangeSlice. Sold previous company at 19 and ex-J.P. Morgan ",
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        "url": "https://www.ycombinator.com/companies/orange-slice/jobs/xQossob-founding-engineer",
        "location": "San Francisco, CA, US / Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "0.50% - 5.00%",
        "experience": "Any (new grads ok)",
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      {
        "id": 97591,
        "title": "Orange Slice: Claude Code for GTM",
        "tagline": "AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.",
        "body": "We’re building AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.\\\n\\\nThe reality is most sales teams don’t struggle with effort - they struggle with timing.\\\nReps spend huge amounts of time working static lists and broad targeting, chasing leads that were never going to convert. That creates noise, low reply rates, and wasted cycles.\\\nTop companies like Ramp solve this with dedicated growth engineers building internal data workflows.\\\nWe’re making that same capability accessible to everyone else.\\\n\\\nAt its core, the challenge is simple: \\*\\*finding customers who already have the problem you solve.\\*\\*\\\nOrange Slice turns the spreadsheet into a system for discovering buying signals - agents research company sites, news, social signals, and niche sources like court records or building permits, then structure that information directly into columns teams can act on.\\\n\\\nNot “might be a fit.”\\\nBut “likely in-market.”\\\n\\\nSo instead of guessing who to target, teams build and refine living lists of high-intent accounts inside a sheet.\\\n\\\nStill early. Still learning.\\\nBut we’re excited to keep building.\\\n\\\nKishan and I met sophomore year on a Bollywood dance team at Michigan — and I couldn’t ask for a better co-founder.\\\n\\\n<https://youtu.be/le727v1A5l8>",
        "url": "https://www.ycombinator.com/launches/PO3-orange-slice-claude-code-for-gtm",
        "votes": 10,
        "created_at": "2026-02-06T18:14:19.276Z"
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      {
        "id": 92110,
        "title": "Orange Slice 🍊 - Prospects That Already Want to Buy",
        "tagline": "AI-agents that find you customers who already want to buy",
        "body": "We’re Kishan and Vihaar! We’re the founders of Orange Slice, where we find you customers who already want to buy!\\\n**\\\nTL;DR — AI agents that search the entire web for signals / firmographic data that suggests a customer wants your exact product**\n\n[**https://www.youtube.com/watch?v=oSqFhoO4bHs**](https://www.youtube.com/watch?v=oSqFhoO4bHs%5C)\n\n# ❌ The problem:\n\nSales teams waste time and money reaching out to people who aren’t good fits for their product. How often do you receive a cold email about something you don’t care about at all?\n\n# 🚀 Our solution:\n\nWe built custom scraping and crawling infra that finds high-intent prospects by **scanning online data sources such as company websites, news articles, job postings, and social media**. We specialize in industry-specific data sources - think court dockets for legal tech, building permits for proptech, or freight brokerage listings for logistics.\\\n\\\nThink about it like assigning a **“score”** to all potential prospects so you spend time focusing on ones that **are already likely to buy**.\n\n# Why\n\nPreviously, **Kishan** ran a growth experiment at **Ramp** where he noticed that growth doesn’t come from gimmicky emails, but from finding the right customers at the right time. **Vihaar**, who sold his first restaurant tech startup at 19, learned the same lesson the hard way: the biggest lever in sales isn’t what you say - it’s who you say it to.\n\n![uploaded image](/media/?type=post&id=92110&key=user_uploads/1452620/5421cde8-fb83-4de7-aec5-63d956975213)\n\n# **🙏 Our Ask:**\n\n* Do you know any businesses with lots of sales reps that do lots of manual research?\n* If you refer us to someone who signs with us, we will send you $500/month as long as they stay with us.\n\n👉 Contact us at [vihaar@orangeslice.ai](https://mailto:vihaar@orangeslice.ai)",
        "url": "https://www.ycombinator.com/launches/Nxe-orange-slice-prospects-that-already-want-to-buy",
        "votes": 39,
        "created_at": "2025-07-14T16:08:25.761Z"
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    "name": "Nuntius",
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    "website": "https://www.nuntius.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Applying artificial intelligence to economically productive use-cases requires bulletproof alignment. We’re solving that.",
    "one_liner": "Making Models Follow Rules.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1754692935,
    "tags": [
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    "status": "Inactive",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/106397474",
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      "name": "Jon Xu",
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    "website": "https://www.wafer.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Wafer builds AI agents that work as autonomous performance engineers, optimizing GPU kernels for AI inference. \r\n\r\nOur product is serverless and dedicated inference for the world’s fastest open source LLMs, achieved by Wafer's autonomous performance engineers. ",
    "one_liner": "AI that makes AI fast",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Emilio Andere",
        "title": "Founder/CEO",
        "founder_bio": "prev @ argonne, uchicago sand lab, elicit. math at uchicago.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/emi-andere",
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        "full_name": "Steven Arellano",
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        "founder_bio": "prev @ two sigma, google, sei labs, and axlab. cs + econ at uchicago.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stevenjarellano/",
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        "title": "Building AI That Optimizes AI - YouTube",
        "url": "https://www.youtube.com/watch?v=7JoqmM5EPXo&t=9s",
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        "title": "Wafer, An Inference Provider That Uses Non-Nvidia Chips, Lands Acquisition Offers and $200 Million-Plus Valuation — The Information",
        "url": "https://www.theinformation.com/newsletters/ai-agenda/wafer-inference-provider-uses-non-nvidia-chips-lands-acquisition-offers-200-million-plus-valuation",
        "date": "Sep 01, 2026"
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        "title": "AI Could Democratize One of Tech's Most Valuable Resources | WIRED",
        "url": "https://www.wired.com/story/ai-could-democratize-one-of-techs-most-valuable-resources/",
        "date": "Apr 15, 2026"
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      {
        "title": "Meet Wafer: The YC Startup Making GPUs 5x More Efficient with AI [Livestreams]",
        "url": "https://www.artificialintelligencemadesimple.com/p/meet-wafer-the-yc-startup-making?r=16nyel&triedRedirect=true",
        "date": "Jan 27, 2026"
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      {
        "id": 100546,
        "title": "Wafer Pass: flat-rate access to the fastest open-source LLMs",
        "tagline": "The fastest open-source LLMs for OpenClaw, Claude Code, and any agent harness",
        "body": "**TL;DR** - Wafer Pass is a single subscription that gives you the fastest optimized open-source LLMs for any agentic coding harness. Plans start at $10/week. Every plan includes every model we host. Sign up at [wafer.ai/pass](https://www.wafer.ai/#pricing).\n\n![uploaded image](/media/?type=post&id=100546&key=user_uploads/1616952/7ea613a4-5300-4377-9fbe-32791825a31e)\n\n## Hi YC! We're Emilio and Steven, founders of Wafer (S25)\n\nToday we're launching **Wafer Pass**, a flat-rate API subscription to the fastest optimized open-source LLMs. One key, every model, drops into Claude Code, OpenClaw, Cline, Kilo Code, Roo Code, OpenHands, or Conductor.\n\n## **The problem**\n\nIf you use AI coding agents, you've felt the pain. Usage caps that hit at the worst moment. Per-token bills that swing between $5 and $50 a session. Juggling API keys across providers. Watching frontier closed models throttle you on Friday afternoons.\n\nOpen-source models (Qwen3.5-397B, GLM5.1, DeepSeek V4 Pro) have closed most of the gap on coding tasks. The problem is getting them served at the speed you actually want for an agent loop. Most providers run them on stock SGLang or vLLM, which leaves 50–80% of GPU performance on the table.\n\n## **What we built**\n\nWafer's core product is an AI performance engineer. You point it at an LLM and it optimizes it.\n\nWe have been pointing Wafer at the leading open-source LLMs and let it rewrite the entire serving stack: kernels, batching, scheduling, memory layout. The results are really impressive so far: \n\n* Qwen3.5-397B-Turbo is 2.8x faster than base SGLang\n* GLM5.1-Turbo is 2x faster than vLLM baseline\n* DeepSeek-V4-Pro is 2x faster than vLLM baseline\n\nThe Qwen example: \n\n![uploaded image](/media/?type=post&id=100546&key=user_uploads/1616952/5a00eeba-4de9-4052-a0ab-5643908058cd)\n\nSame weights as anywhere else. Just faster, because Wafer rewrote the kernels. We put the result behind a single OpenAI- and Anthropic-compatible API.\n\n## **Wafer Pass**\n\nOne subscription. One API key. Every model we host.\n\n* **$10/week (Starter):** 1,000 requests every 5 hours. All models.\n* **$25/week (Privacy):** 2,000 requests every 5 hours. All models. Zero Data Retention.\n\nEvery plan includes every model, and every future Turbo model we ship. No price increase as the catalog grows. For context: that's 10x requests than Claude Code Max, at 1/2 the price. \n\n## **Try it**\n\n**Sign up: [wafer.ai/pass](https://wafer.ai/pass)**\n\nIf you use Claude Code, OpenClaw, or any other agent harness, we'd love your feedback. Drop your Wafer API key in and tell us what breaks.\n\nIf you're building an agent or coding tool and want a default model layer, let's talk.\n\nEmail: [**emilio@wafer.ai**](mailto:emilio@wafer.ai) · Book a 15-min call: **cal.com/wafer/quick-chat**",
        "url": "https://www.ycombinator.com/launches/Q9i-wafer-pass-flat-rate-access-to-the-fastest-open-source-llms",
        "votes": 7,
        "created_at": "2026-04-30T00:19:46.736Z"
      },
      {
        "id": 92210,
        "title": "👑 Wafer - Cursor for CUDA",
        "tagline": "AI agent that turns your slow PyTorch into fast GPU code, automatically",
        "body": "## \n\n## **TL;DR**\n\nThe best GPU engineers work at Nvidia and OpenAI for $2M+ packages. The rest of us are stuck with PyTorch code that uses &lt;50% of our hardware. We built Wafer for every team that can't afford a GPU optimization expert. Wafer takes your PyTorch and optimizes it with custom kernels. It monitors your inference workloads, catches inefficiencies, and fixes them automatically. You keep shipping fast. Wafer makes it run fast. No CUDA knowledge required, no million-dollar hires needed.\n\n**Ask:** Are you trying to make your inference faster, writing CUDA by hand, or do you know someone who is? Fill our our [interest ](https://www.herdora.com/)form or send us an email [contact@wafer.com](mailto:contact@herdora.com) to be added to our pilot program. See below for details.\n\nhttps://youtu.be/K6nEevvlOro\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n—\n\n### **🧙 The Problem**\n\nGetting AI models to run fast on GPUs requires a rare breed of engineer. \n\nThese GPU wizards:\n\n* Command $300k+ base salaries (if you can even find them)\n* Spend **months** hand-writing custom kernels for each model\n* Need to rewrite every kernel for new hardware\n\nEven worse: If you want to run on alternative GPUs or other accelerators, you need **different** **experts** to **rewrite all your kernels**. Most teams are stuck choosing between:\n\n* Paying $$$ for GPU talent\n* Accepting &lt;50% hardware utilization\n* Locked to one chip longer than they want\n\n---\n\n—\n\n### **🐄 How Wafer solves it**\n\nWafer does what those GPU engineering wizards do, automatically. Feed it your PyTorch code, and it generates the optimized kernels that would normally take months of manual work.\n\n**What you get:**\n\n* **Auto optimization** - Your PyTorch goes in, optimized GPU code comes out. Same model, **1.5 to 5x faster**. The kernels Wafer writes are what a senior CUDA engineer would write after weeks of profiling and tuning.\n* **Hardware portability** - NVIDIA can’t give you enough capacity? Want to try out AMD’s new MI350 series? Wafer makes your code fast on both in seconds. No rewrites, no performance penalties.\n* **Production monitoring** - Wafer watches your models in production, spots inefficiencies, and fixes them. Think of it as having a GPU expert on-call 24/7.\n\nYou write PyTorch. Wafer makes it run like it was hand-tuned by the best in the business. Wafer then monitors prod to track performance. No CUDA expertise needed on your team.\n\n—\n\n### **📢 Who This is For**\n\nYou should reach out if any of this sounds familiar:\n\n* You're an ML engineer but you **don't have time to learn CUDA**\n* Your cloud bill is killing you because your models only use 30-50% of each GPU\n* You **want to try cheaper GPUs** but can't risk your models running slower\n\n—\n\n### **👥 The Team**\n\n* **Steven Arellano** - Researched LLMs at UChicago and worked as an engineer at Two Sigma, Google, and Sei Labs.\n* **Emilio Andere** - Researched transformers for weather prediction at Argonne National Lab, adversarial ML at SANDLab, and an engineer at Elicit.\n\n🤝 Friends since freshman year at UChicago, where we were also roommates\n\n—\n\n### **🙏 Our Ask**\n\nIf you're running ML workloads on GPUs (or know someone who is), we'd love to add you to our pilot program. Email us at [contact@wafer.com](mailto:contact@herdora.com) or fill out our [interest form](https://herdora.com/) with your model type and current GPU setup.\n\nYou'll get the same optimizations that companies pay GPU consultants $50k+ to deliver except automated and in days instead of months.\n\n**Currently Onboarding:**\n\n* ML teams running inference at scale\n* Teams hitting latency requirements in production\n* Companies with growing GPU compute bills\n* Companies evaluating AMD or Intel GPUs\n\n**Send us an email:** [contact@wafer.com](mailto:contact@herdora.com)\n\n**Book a call:** [https://cal.com/wafer/20min](https://cal.com/herdora/20min)\n\n**Interest:** [https://www.wafer.ai/interest](https://www.herdora.com/interest)\n\n---\n\n---",
        "url": "https://www.ycombinator.com/launches/NzG-wafer-cursor-for-cuda",
        "votes": 103,
        "created_at": "2025-07-16T18:10:07.640Z"
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    "id": 30645,
    "name": "Panels",
    "slug": "panels",
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    "website": "https://www.usepanels.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Panels is an audio data platform that delivers high-quality speech datasets from vetted, diverse contributors to power training and evaluation of foundational voice models.",
    "one_liner": "Audio Data for AI Labs",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1755625983,
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/panels.json",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/panelsinc/",
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        "user_id": 1219845,
        "full_name": "Aaron Wenk",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Panels. Princeton ORFE. World Champion Rower. 2x National Champion Cyclist.",
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        "linkedin_url": "https://www.linkedin.com/in/aaron-wenk",
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        "id": 97234,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/panels/jobs/ZxF3rjn-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 93156,
        "title": "Panels: Audio Data for AI Labs",
        "tagline": "We power voice AI with high-quality audio data.",
        "body": "Hi!\n\nWe’re Aaron and Jason, and we’re building Panels.\n\n**TL;DR** — Panels builds diverse, high-quality conversational audio datasets for training Voice AI models. If you or someone you know is working on voice and needs audio data, we’d love to talk!\n\nhttps://www.youtube.com/watch?v=auANpScmgls\n\n**Our Story**\n\nAaron and Jason met at Princeton University where they both studied Operations Research and Financial Engineering.\n\n* Aaron is a 1x world champion and 5x national champion rower. After leaving rowing, Aaron became a 2x national champion in cycling, racing on a professional team against former Tour de France winners.\n* Jason previously helped build and grow startups to millions of users and worked on the data team at Amazon. He also taught NLP at Princeton.\n\n**The problem**\n\nVoice AI is exploding: in the past three YC batches, 60+ companies have depended on voice models. But voice models live or die on the quality of their training data.\n\nLabs need datasets that reflect:\n\n* Languages (global coverage, not just English)\n* Accents (real-world variety)\n* Emotions & expressiveness (not monotone samples)\n* Demographics (ages, genders, cultural nuance)\n\nRight now, most labs struggle to source enough realistic, diverse, high-quality conversational audio.\n\n**Our solution**\n\nPanels delivers exactly that.\n\n* We have a network of 10,000+ vetted voice contributors\n* Coverage across 20+ languages and 100+ countries\n* Expressive, conversational audio datasets designed for training state-of-the-art voice models.\n\nThis makes Panels the reliable data provider for the labs building the future of Voice AI.\n\n**Who this is for**\n\n* Voice labs scaling foundational models\n* Research institutions working on speech, linguistics, and AI\n* Conversational AI startups wanting to finetune their agents\n\n**Our ask**\n\nIf you (or someone you know) is building in voice and needs high-quality audio data, we’d love to talk.\n\nEmail us at [📩founders@usepanels.com](mailto:%F0%9F%93%A9founders@usepanels.com)  or ☎️[Book a call](https://cal.com/aaron-wenk/30min)\n\n![uploaded image](/media/?type=post&id=93156&key=user_uploads/1219845/a7f9773c-5a31-4132-b481-bbfa0ddb1f68)\n\n",
        "url": "https://www.ycombinator.com/launches/OEW-panels-audio-data-for-ai-labs",
        "votes": 21,
        "created_at": "2025-08-19T19:35:10.536Z"
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    "name": "Cyberdesk",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cyberdesk is the first self learning computer use agent for developers to automate desktop workflows. \r\n\r\nFor example, one of our customers is building an AI agent for hospital patient intake, and they’re using us to automate an entire team of people manually clicking and typing into a desktop app to book appointments. \r\n\r\nWe launched mid July, and our agent is already operating in production environments, creating appointments in electronic health record apps and processing files in legacy ERPs.\r\n\r\nWe’ve built the first computer use agent that memorizes tasks and repeats them quickly while still adapting to unexpected changes on the screen. A good analogy is to how humans use computers: once we get used to an app, we use it much faster, while still adapting to random popups and crashes. This new paradigm for computer use will be needed by every company automating human workflows on computers.\r\n\r\nMahmoud previously built robotic process automation solutions impacting 20K+ employees at a Fortune 100 company. He also built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group. \r\n\r\nAlan is ex-NASA and previously dropped out to be the first founding engineer at a PearX startup. He is a second time founder, having previously built and scaled a consumer AI app to thousands of paying users.\r\n\r\nComputer-use agents will automate the $6T dollars spent on enterprise knowledge work and Cyberdesk will be the platform to power this.\r\n\r\nWe’d love to talk with you!\r\nhttps://cal.com/mahmoud-al-madi-klrs5s/30min",
    "one_liner": "Self learning computer use agent for developers",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1749659433,
    "tags": [
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      "Robotic Process Automation",
      "Workflow Automation",
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      "AI"
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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      "Engineering, Product and Design"
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    "regions": [
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      "America / Canada"
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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": "We met 2 years ago, connecting over our shared experiences at Rice, and our love of building things. We both ended up living at the same Hacker House in Menlo Park, called Incepto! We started Cyberdesk with the realization that it’s really hard to build a great computer use agent, especially when it comes to reliability, speed, and cost. We both lived in a 9×9 Airbnb room with a tiny bed and a single desk (we call it the Cyberdesk lol) and got Cyberdesk off the ground, building the MVP in a 6 days and getting a paid customer the next day through a cold email. \\\r\n\\\r\nCyberdesk was built to solve all three of the core problems with off the shelf computer use models: speed, reliability, and cost. We’re excited to deploy this architecture to the world and become the best developer framework for computer use."
      },
      {
        "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": "From the moment we started working together, we knew we wanted to go through YC together. It was a little over a month before the deadline for Summer 2025 came out when we started working together, so we got to work! We launched, got paid customers, and built out our infrastructure fast. A month later, we interviewed in person and got the call from Jon Xu the same night that we got in! It was one of the happiest days of our lives."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started working together in late March (2025), with a shared goal of solving deep developer problems around computer use. We started off with an idea to help developers spin up virtual desktops for computer use agents in a single line of code. We shipped an MVP in 5 days and got a paid customer the next day through a cold email. For the next month, we kept shipping and looking for customers, and applied to YC with this idea. We found the product had interest from hobbyist developers, but for companies, there was much less pull because companies often already have VM infrastructure they are happy with. \\\r\n\\\r\nSo we made the call to pivot. We talked to over 100 developers in the computer use and robotic process automation space, and heard the same thing over and over: automating Windows desktops is an important yet extremely tedious process. You create a script once, then it breaks every time something changes in the app or a popup happens. Computer use agents were meant to solve that pain but even they were slow, costly, and non deterministic. That’s how we came up with the idea for what Cyberdesk is today - a layer on top of computer use agents that helps it memorize tasks it’s done before and repeat it consistently, 3 - 5x faster, and cheaply, while still falling back to computer use during popups and anomalies. We built an MVP in a week, and got our first pilot a week later. \\\r\n\\\r\nSince then we’ve been rapidly building out the product and closing more deals with startups and companies in healthcare, construction, accounting, and more, all of them using our agent to automate manual computer work they’ve struggled to automate before. "
      },
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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": "For a developer team to automate legacy desktop apps with poor APIs, they’ve often resorted to building brittle automation scripts (either in Python or using a legacy RPA tool like UiPath) or hiring unreliable remote workers to click on remote desktops. As they need to support more and more software and versions of that software, the development and maintenance times exponentially increases. \\\r\n\\\r\nEvery company in the world has repetitive manual desktop work that is bogging them down. On top of that, companies building AI agents are increasingly having to interface with desktop apps to perform full human workflows. This problem is pervasive and we’re excited to solve it."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Traditional robotic process automation is a $6 billion industry, yet it only services a tiny fraction of desktop tasks that can now be automated by our agent. In the long term, our agent will automate every manual computer task."
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    ],
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cyberdesk.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cyberdeskhq",
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      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
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        "user_id": 1707002,
        "full_name": "Mahmoud Al-Madi",
        "title": "Founder/CEO",
        "founder_bio": "Mahmoud graduated from Rice University with a degree in Electrical Engineering where he built AI & ML solutions at Baylor College of Medicine Neuroscience & Texas Children's Hospital + co-published a paper at the Rice Networks Group.\n\nAfter Rice, Mahmoud built RPA solutions impacting 20K+ employees at a Fortune 100 company, which inspired him to cofound Cyberdesk to build a computer use agent developers can use to automate desktop workflows.",
        "is_active": true,
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      {
        "id": 92540,
        "title": "Cyberdesk - The computer use agent for developers to automate legacy Windows apps",
        "tagline": "Automate legacy apps like EHRs, ERPs, and more with just a prompt and an API call to our agent",
        "body": "Hey everyone! We’re Mahmoud and Alan, co-founders of Cyberdesk.\n\n**🏆 TL;DR:**\n\nWe’re building a computer use agent for developers to automate legacy Windows apps like EHRs, ERPs, and more. Just write your task in plain English, and call our API to trigger our agent. Our agent is designed to follow memorized steps reliably, only falling back to computer use models during expected popups.\n\nhttps://www.youtube.com/watch?v=yCDGsiCNb3E\n\n**❌ The Problem**\n\nDevelopers in industries like healthcare, supply chain, and beyond often work with clients who have old, legacy Windows software. Today, to work with these clients, they probably:\n\n* Hire unreliable offshore teams to manually click through remote desktops\n* Write fragile automation scripts that break on popups and need constant fixes\n* Skip the integration entirely—leaving valuable customers behind\n\n**✨ Our Solution**\n\nJust write your task in plain English, and our computer use agent will run it reliably, cheap, and fast, on any Windows PC (cloud or on prem).\n\nExample: entering patient data into OpenDental, a legacy dental EHR (real use case from one of our customers)\n\n1. **Write the task** (”Log in to Opendental, click Patients, find this dropdown, etc”), then just call our API to trigger the workflow\n2. **Our agent learns the task.** Every time it repeats the task, it does it 100% deterministically, upwards of 3x faster, and almost zero cost\n3. **If something unexpected happens** (like a popup), our system falls back to the computer use agent, and memorizes that trajectory too\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/d09c26db-4734-4c16-8324-e5e0657e6512)\n\n**💯 The Team**\n\nMahmoud (CEO) previously scaled robotic process automation solutions to 20k employees at a Fortune 100. Alan (CTO) is ex-NASA and built a computer use agent at his previous startup.\n\n**Book a demo with us, or intro us to AI companies in regulated industries who need to integrate into legacy desktop apps!**\n\n* Book demo: https://cal.com/mahmoud-al-madi-klrs5s/30min\n* Our website: https://cyberdesk.io\n* Email us: mahmoud \\[at\\] cyberdesk \\[dot\\] io\n\n![uploaded image](/media/?type=post&id=92540&key=user_uploads/1707002/ca98113f-44e9-44ce-ab9b-20e5ea40354a)\n\n",
        "url": "https://www.ycombinator.com/launches/O4a-cyberdesk-the-computer-use-agent-for-developers-to-automate-legacy-windows-apps",
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        "created_at": "2025-07-29T15:47:24.669Z"
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    "id": 30648,
    "name": "Janet AI",
    "slug": "tryjanet",
    "former_names": [
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    "website": "https://janet.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Janet AI lets you deploy reliable, cost-efficient 24/7 agents across every workflow, powered by custom agent memory and decision infrastructure we built for company operations. Janet remembers everything it sees and does across all your tools, and recalls exactly the right context at the moment it's needed.\r\n\r\nConnect your tools and scope permissions in a few clicks, describe your flows in plain English, and always-on agents handle the work, all while learning what's going on across your company.\r\n\r\nJanet AI is backed by Y Combinator, Formosa Capital, Paul Graham, Charles Ferguson, and others.\r\n\r\nCheck us out at janet.ai!",
    "one_liner": "Agents that learn your company and work 24/7",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752861520,
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    "batch": "Summer 2025",
    "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/tryjanet",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/tryjanet.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/janet-ai/",
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      {
        "user_id": 1669701,
        "full_name": "Adhit Sankaran",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Janet AI (S25).\n\nPrev. Founding Engineer/GenAI Engineering Lead (YC S23 company), 2x Intern @ Google.\n\nMaster's in Computer Science/GenAI Research @ Cornell. Bachelor's in Computer Science/RL Research @ UW-Madison. ",
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        "linkedin_url": "https://www.linkedin.com/in/adhitsankaran/",
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        "user_id": 1029016,
        "full_name": "William Barthell",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Janet AI (S25).\n\nPrev. Founding Engineer and Employee #1 @ crypto startup where I designed a novel algorithmic AMM for Solana SPL-20 token trading and launch abstraction. Met 1:1 with investors to help raise $3M+ seed.\n\nBachelor's in Computer Science @ UW-Madison.",
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    "id": 30649,
    "name": "Lilac",
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    "long_description": "Lilac sells flexible GPU contracts and runs the software layer on top: monitoring, bare-metal provisioning, and managed Kubernetes and Slurm. We also run this layer for GPU cloud providers as their named operations and support partner.",
    "one_liner": "We sell GPUs.",
    "team_size": 4,
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    "subindustry": "B2B",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
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        "user_id": 2382454,
        "full_name": "Lucas Ewing",
        "title": "Founder/CEO",
        "founder_bio": "I'm Lucas, born and raised in Stockholm Sweden, and moved to the US for High School and College (Harvey Mudd '23!)\n\nWorking on democratizing GPUs!",
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        "user_id": 2356063,
        "full_name": "Ryan Ewing",
        "title": "Founder",
        "founder_bio": "I'm Ryan, a software engineer with a background in building cloud and networking services at AWS.\n\nCurrently working on Lilac, a spot GPU marketplace that leverages idle GPUs in data centers and on-prem clusters.\n\nwww.getlilac.com",
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      {
        "id": 92724,
        "title": "Lilac - We find you GPUs!",
        "tagline": "Lilac! The open-source tool that ensures your data scientists always have GPUs",
        "body": "💬 **TL;DR Lilac is an open-source tool that ensures your data scientists always have enough GPUs for their work. We seamlessly connect compute from any source, on-prem or cloud. [Check out our GitHub!](https://github.com/getlilac/lilac)**\n\n![uploaded image](/media/?type=post&id=92724&key=user_uploads/2382454/b1a41fba-535e-4392-9526-f97e72771387)\n\n❗**The Problem: The GPU Scramble is Slowing Down AI Innovation**\n\nAsk any data scientist and they will likely tell you their biggest frustration is finding GPUs. One team we talked to is spending $7 million dollars a year with a service provider to guarantee GPUs, yet they were still running out. This forces data science and infrastructure teams into a difficult position:\n\n* **Wasted Time:** Data scientists waste hours hunting for available GPUs across different clouds and on-premise servers, distracting them from building models.\n* **Spiraling Costs & Security Risks:** Infrastructure teams lose visibility as desperate data scientists use personal keys on unmanaged instances, leading to security gaps and unpredictable cloud bills.\n* **Slowed Innovation:** The result is a direct trade-off between innovation speed and engineering best practices. Companies either accept a slow model development lifecycle or pay millions for dedicated GPU contracts in a single cloud, losing flexibility.\n\n🏆 **The Solution: Unify Your Compute, Unleash Your Data Scientists**\n\nLilac is an open-source platform that transforms your scattered, multi-cloud, and on-premise GPU resources into a single, unified compute fabric.\n\nInstead of hunting for servers, your data scientists simply submit their training jobs to Lilac. Our intelligent scheduler handles the rest—finding the first available GPU that meets the job's requirements, allocating it, and running the job.\n\n**The Result:**\n\n* **For Data Scientists:** Maximum productivity. They can focus on building models, not managing infrastructure.\n* **For Infrastructure Teams:** Centralized control. Gain full visibility, enforce security policies, and manage costs across your entire fleet of compute resources.\n\nLilac bridges the gap between R&D and infrastructure, turning GPU scarcity into a streamlined, efficient workflow.\n\nHere’s an introduction and example of how it works:\n\n[**https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac**](https://www.youtube.com/watch?v=n8Ye-8YS0I4&ab_channel=Lilac)\\\n\\\n🥇 **About Us**\n\nWe're a team of two brothers, [**@Ryan Ewing**](https://bookface.ycombinator.com/user/2356063) and [**@Lucas Ewing**](https://bookface.ycombinator.com/user/2382454), who have spent our careers building the infrastructure that powers the modern web. With experience scaling enterprise infrastructure at **AWS** and building end-to-end data platforms at **Webflow**, we've seen firsthand how critical, and how broken, the tooling for AI development is. We believe the rapid acceleration of AI requires a fundamental rethinking of the infrastructure stack, and we built Lilac to be the foundation of that new ecosystem.\\\n\\\n⭐ **Our Ask**\n\nWe are thrilled to announce that Lilac is now open-source with the release of **v0.1.0**!\n\n* **Check out our GitHub:** [**github.com/getlilac/lilac**](https://github.com/getlilac/lilac)\n* **Try it out:** Star the repo, try the quick start, and give us your feedback. We welcome all contributions, from bug reports to feature requests.\n* **Get in touch:** If the problem we're solving resonates with your company, we'd love to connect. Reach out at [**contact@getlilac.com**](mailto:contact@getlilac.com), [**schedule a 15-minute chat**](https://calendly.com/lucas-getlilac/15-minute-meeting) with us, or checkout our [**website**](https://getlilac.com/).",
        "url": "https://www.ycombinator.com/launches/O7Y-lilac-we-find-you-gpus",
        "votes": 23,
        "created_at": "2025-08-04T22:34:11.492Z"
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    "name": "Imprezia",
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    "website": "https://imprezia.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The first advertising infrastructure designed specifically for AI apps. Seamlessly integrate contextual brands & products that enhance user experience while generating revenue to pay the inference bills.",
    "one_liner": "The World's First AI Ad Network.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1753378295,
    "tags": [],
    "tags_highlighted": [],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Infrastructure"
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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": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Imprezia will power and fund the first billion+ user AI applications through our AI Native Ad Network."
      }
    ],
    "url": "https://www.ycombinator.com/companies/imprezia",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/imprezia.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/imprezia-ai/",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 1228775,
        "full_name": "Bishesh Khadka",
        "title": "Founder/CEO",
        "founder_bio": "Since graduating MIT CS in 2018, I've led a team routing the $1B+ ARR ad pricing system at Amazon Ads, and I've launched several $10M+ ARR LLM ad optimizations at Meta Ads that generated 10B+ ad impressions.\n\n50% of search volume will be eaten up by AI interfaces by 2028. I'm on a mission to build the monetization infrastructure that will power and fund the next age of 1B+ user AI apps, and be the leader of the projected $1.3T AI ad market.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/bisheshkhadka",
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    "jobs": [
      {
        "id": 100379,
        "title": "Generalist Engineer, AI Advertising Infra",
        "url": "https://www.ycombinator.com/companies/imprezia/jobs/iyluJ8y-generalist-engineer-ai-advertising-infra",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.25% - 1.75%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    "news": [],
    "launches": [
      {
        "id": 92592,
        "title": "🚀 Imprezia - World’s First AI Ad Network",
        "tagline": "We help brands get mentioned in AI responses – and we help developers get paid.",
        "body": "# **TL;DR:** MIT & Ex-Meta founder building the first ad network for AI chatbots. Brands pay to get mentioned and linked inside AI responses, and developers can monetize their AI apps.\n\n# **The Problem: Subscription only gets you so far…**\n\nMost AI apps today try to monetize with subscriptions, but just can’t find enough users who are willing to pay. \n\n→ **Inference bills are crushing** - AI compute costs 10-30x more than traditional apps\\\n→ **Subscription gates kill growth** - Only 3% of users typically convert\n\n→ **Can't scale to billions** - Free tiers = bankruptcy\\\n\\\nMeanwhile, Brands are dying to get mentioned organically inside of AI chat results.\n\nIt’s time for a new model.\n\n# **Our solution:** Imprezia brings contextual advertising directly into AI conversations.\n\n\\\nhttps://www.youtube.com/watch?v=wI7k7Byftks\n\n### **How It Works:**\n\n1. **One-line integration** - Drop in our SDK with an API key\n2. **Contextual ads** - We subtly include relevant brand mentions in your AI chat\n3. **Revenue sharing** - Developers get paid per impression or per click\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/60ee6f8f-6eaf-40c1-b13f-72ac9e3b8aa6)\n\n# \n\n\\*\\*The Magic:\\*\\*\\\nIf a user asks about luxury stays in Tokyo, Imprezia might insert: \"Park Hyatt Tokyo” as an in line mention.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/2ff7e8cf-da9c-4074-bf5f-b6d9ee47349e)\n\n\\\n\\*\\*Brand Portal:\\*\\*\\\nAdvertisers can create campaigns and launch across our network of AI apps. \n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/3678028f-92fe-4e9c-8620-4dc9e45af275)\n\n**Win, Win, Win:**\n\n**For developers:** Monetize without subscriptions - earn premium CPMs\\\n**For users:** Valuable offers instead of noisy spam, within a free tier!\\\n**For brands:** Direct access to high-intent AI audiences\n\nIf you’re building an AI app or a brand looking to reach users within AI:\\\n✅ **Apply to get early access:** https://start.imprezia.ai \\\n💡 **Questions?** Please reach out to our founder, [bishesh@imprezia.ai](mailto:bishesh@imprezia.ai)\\\n\\\n**Team**:\\\nSince graduating MIT, [Bishesh](https://www.linkedin.com/in/bisheshkhadka/) has scaled billion dollar ad management & optimization systems Amazon ads and Meta.\n\n![uploaded image](/media/?type=post&id=92592&key=user_uploads/1228775/e2cfeb97-cf32-40af-a9bd-b0b18c336f32)\n\n",
        "url": "https://www.ycombinator.com/launches/O5Q-imprezia-world-s-first-ai-ad-network",
        "votes": 93,
        "created_at": "2025-07-30T23:49:33.889Z"
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    "id": 30651,
    "name": "Alter",
    "slug": "alter",
    "former_names": [
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    "website": "https://alterauth.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Alter is a zero-trust identity and access control platform purpose-built for AI agents. It wraps every tool call in strong authentication, fine-grained authorization, and real-time guardrails, so agents can move fast without breaking things.\r\n\r\nEach request is verified at the parameter level, authorized against granular policies, executed with least-privilege access, and fully audited in real time. Unsafe actions, whether it’s a rogue DROP TABLE or a payment above policy limits, are blocked before they touch production. Behind the scenes, Alter manages credentials, issuing ephemeral, scope-narrowed access for every interaction, then rotating or expiring it in seconds. The result: no long-lived secrets, no blind spots, and no surprises in audit.\r\n\r\nWith Alter, teams can move fast on AI agent initiatives while staying fully compliant with SOC 2, HIPAA, GDPR, and internal security standards. A CISO-ready dashboard delivers real-time visibility, detailed audit logs, and compliance-ready controls, removing silos, eliminating excessive permissions, and providing complete oversight of every agent workflow.",
    "one_liner": "Privileged Access Management for AI Agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
    "launched_at": 1752476002,
    "tags": [
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      "Developer Tools",
      "DevSecOps",
      "Security",
      "AI"
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    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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      "Security"
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    "regions": [
      "United States of America",
      "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/alter",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/alter.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/alterai-dev",
    "x_url": "https://x.com/alter_ai_labs",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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    "founders": [
      {
        "user_id": 736424,
        "full_name": "Srikar Dandamuraju",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Alter (YC S25), a zero-trust identity and access control platform for AI agents. Former Platform Lead at Goldman Sachs, where I scaled GSAM’s post-trade infrastructure from single to multi-cluster and helped launch the GM Card. Before that, software engineer at Addepar and Clear Street.\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/srikar-d-473390136",
        "x_url": "https://x.com/realsreeks",
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      },
      {
        "user_id": 1363069,
        "full_name": "Kevan Dodhia",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Alter (YC S25), a zero-trust identity and access control platform for AI agents. Previously technical co-founder of Compute.ai, where we built a compute engine 5x faster than EMR Spark and sold into highly regulated enterprises like LSEG. Compute.ai was acquired by Terizza in 2025.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kevan-dodhia-760183129",
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      {
        "id": 93044,
        "title": "Alter –  Identity and Access Control Platform To Secure Agents",
        "tagline": "Build secure, compliant agents without the fear of breaking production",
        "body": "### **TL;DR**\n\nAlter sits in the middle of every AI agent interaction, verifying identity and applying fine-grained RBAC & ABAC to check every parameter against policy. It instantly rejects dangerous actions and provides clear audit trails logging every request/response and decision.\\\n\\\nInterested? Learn more and request beta access at [alterai.dev](http://alterai.dev)\n\nDon’t want to read? Here is a video explaining what we do in a nutshell\n\n[Identity And Access Control Platform To Secure Agents | Alter (YC S25)](https://www.youtube.com/watch?v=UX0ACmMXpMg)\n\n**The Problem**\n\n**Dangerous:** Long-lived credentials and over-scoped service accounts mean a single leak can give an agent the keys to production letting it run destructive commands, exfiltrate sensitive data, or trigger costly transactions.\\\n**Opaque:** Scattered logs and siloed security make it impossible to trace “which agent did what, with which parameters” when something goes wrong, leaving teams blind in audits or incident response.\\\n**Slow:** Security reviews drag on for weeks because least-privilege and policy checks are hard to implement at scale, delaying projects and eroding velocity.\\\n**Overexposed:** Agents often get blanket root access, with no guardrails to stop prompt-injection or malicious payload swaps, so one bad input can become a catastrophic action.\\\n**The result:** enterprises face agents that _can_ and _do_ take unsafe actions in production, forcing teams to choose between unacceptable risk or shelving AI initiatives entirely.\\\n**\\\nOur Solution**\n\nAlter is the safest way to run AI agents in production without giving them blanket credentials or risking compliance breaches. From one central control layer, organizations can:\n\n* Host or connect to all their tools. We support MCP and Native tools (A2A coming soon)\n* Approve or deny any agent request in real time, with identity verification baked into every call.\n* Apply parameter-level RBAC & ABAC so dangerous actions like drop table commands in prod, during a freeze never reach production.\n* Instantly grant seconds-lived, scope-narrowed tokens so agents get only the access they need, only for that task.\n* Remove the need for long-lived API keys entirely, eliminating one of the biggest security liabilities.\n* See exactly what every agent did, when, and with what parameters, all in one CISO-ready dashboard.\n* Pass SOC 2, HIPAA, and GDPR audits without slowing down because compliance controls run automatically in the background.\n* Scale to any number of agents and tools without creating security silos or over-permissive access.\n\n### **The Team**\n\nWe are Srikar and Kevan.\\\n\\\nWe previously built enterprise-grade infrastructure at ComputeAI and Goldman Sachs, powering mission-critical systems for the London Stock Exchange and the Apple Card launch. Now we’re using that experience to make AI agents safe for production by giving them only the access they need and only for as long as they need it.\\\n**\\\nOur Ask**\n\nWe’re looking to connect with:\n\n* Engineering and security leaders running AI agents in production\n* Enterprises in regulated industries (finance, healthcare, government) with strict compliance requirements\n* Startups building AI-first products that need zero-trust access controls\n* Infosec teams looking to eliminate long-lived credentials and enforce least-privilege by default\n\nAs a bonus, we have also partnered with former OpenAI cybersecurity experts to provide you with ongoing red teaming, catching prompt-injection, data exfiltration, and other exploits before attackers can.\n\nIf you or someone you know is interested, please reach out to us at [**founders@alterai.dev**](mailto:founders@alterai.dev) or book a time to chat.",
        "url": "https://www.ycombinator.com/launches/OCi-alter-identity-and-access-control-platform-to-secure-agents",
        "votes": 30,
        "created_at": "2025-08-15T19:42:34.047Z"
      }
    ]
  },
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    "id": 30652,
    "name": "OnDeck AI",
    "slug": "ondeck-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb6ad4cbd4cdfac49ff1b40404d7053d5789883.png",
    "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": [
      "Machine Learning",
      "SaaS",
      "Computer Vision",
      "B2B",
      "Video"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
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        "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.",
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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).",
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        "full_name": "Mariem Ould Ismail",
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        "full_name": "Moncef DJAFRI",
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        "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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        "full_name": "Jerry Huang",
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        "full_name": "Stela Tong",
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        "id": 92985,
        "title": "DeepAware - Automation for next-gen AI data centers",
        "tagline": "AI-driven automation that makes any data center as secure, efficient, and adaptive as Google’s or Amazon’s.",
        "body": "## **DeepAware - Automation for next-gen AI data centers**\n\n👋 Hello world! Are you ready to embrace a much more efficient AI infrastructure? Check out [DeepAware](http://deepawareai.com/) / [LinkedIn](https://www.linkedin.com/company/deepaware/):\n\nhttps://youtu.be/mywozPhOAnA\n\nTL;DR\n\n1. DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.\n2. Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/4188b3ad-71bd-4af7-a52d-eac733f67211)\n\n**Problem**\n\n1. With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit **$1 trillion by 2030**\n2. Data centers waste 20–30% of energy due to siloed tooling and manual controls.\n3. Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/c08c6a9b-22d9-4ffa-830a-c828ce7597a5)\n\n**Solution**\\\nDeepAware brings Google- and Amazon-grade AI controls to any data center:\n\n1. **RL Scheduler** optimizes GPU workload placement for power, performance, and cost.\n2. **Real-Time Market Integration** shifts workloads to low-price windows and supports demand-response programs.\n3. **Unified Dashboard** for one-click policy tuning, automated alerts, and “what-if” scenario testing.\n4. **Autonomous Robotics (coming soon)** for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeWFdq7APkR0uqewAgWtXeKANKr7EDV1KIz0diikWoGKDlTmA6bqIP_-8vNP0V4Fp9d0il-oEnk8u4uCkO_usPJd4xVHtCOifCEAgMO4muD-Dh7s_sFDGyNnR8YeClKD71vLBoOeA?key=Ok6o8HSu--upaY5wBSe41Q)\n\n**Our Team:** \n\n1. We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.\n\n**Traction:**\n\n1. **6-digit agreement** with a major 30 MW+ data center operator to use our system.\n2. **Simulation results** show 15% energy savings.\n3. **Industry validated** through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.\n\n**Ask:\\\nWe’re looking for:**\n\n1. **Data center operators** (and people in the AI infra sector) interested in piloting AI-driven optimization.\n2. **AI/ML researchers** tackling real-world control problems.\n\nGot feedback or want to pilot? Reach out: 👉 [jerry@deepawareai.com](mailto:jerry@deepawareai.com) or [LinkedIn](https://www.linkedin.com/in/jerryh01/) visit http://deepawareai.com/.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/03fe5788-d736-48c7-83f3-98bf11b31fca)\n\n",
        "url": "https://www.ycombinator.com/launches/OBl-deepaware-automation-for-next-gen-ai-data-centers",
        "votes": 15,
        "created_at": "2025-08-14T01:42:09.062Z"
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    "name": "Tesora",
    "slug": "tesora",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Tesora builds frontier AI agents for actuaries at P&C carriers, reinsurers, and MGAs. The agents handle the assembly, pulling the data, running the method, and deploying the rater, while you review the work and make every call. We deploy inside the stack you already run, on your infra and under your IT team's control, with no shared servers and nothing to rip out. Your data never trains our models, or anyone else's. We treat this as a partnership so we stay hands-on until the work is live and holding up in production. That standard runs through our security posture too: SOC 2 Type II certified, with a full audit trail behind every change.\r\n\r\nThe part of the job that matters is actuarial judgment, and we automate everything around it so you get back to the work only you can do. Built by AI technologists and actuaries who want to see this exist and backed by Y Combinator & other top investors.",
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    "team_size": 5,
    "industry": "Fintech",
    "subindustry": "Fintech -> Insurance",
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        "title": "Founder/CTO",
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    "long_description": "An AI video editing agent that one-shots tedious post-production tasks like turning raw recordings into publishable podcasts and clipping viral shorts for socials.\r\n\r\nThink Cursor for video editing.",
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    "stage": "Early",
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        "full_name": "Tom Yang",
        "title": "Founder/CEO",
        "founder_bio": "Building Kestroll.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tom-yang11",
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        "user_id": 846559,
        "full_name": "Benjamin Skinner",
        "title": "Founder/CTO",
        "founder_bio": "Currently building Kestroll",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ben-skinner-profile",
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        "id": 92522,
        "title": "Kestroll 🎬 AI-powered media asset management",
        "tagline": "Search terabytes of video and photo archives for the exact moment.",
        "body": "Hey everyone! We are Tom and Ben, the cofounders of Kestroll.\n\n**TL;DR**\n\nKestroll is an **AI-powered media asset management platform** that automatically logs and organizes media assets (photos, audio, and especially videos), making terabytes of content easily searchable and instantly distributable.\n\n**The Problem**\n\nImagine you’re a filmmaker working on a feature-length movie, a creative producer at a professional sports team, or a digital asset manager at an enterprise.\n\n**For every hour of content, you must spend 3-5 hours watching it back and labeling it**. Even for labeled content, you will likely still have to rewatch again to find niche or specific moments that you didn’t explicitly label. And let’s not forget that people from other teams and departments will be constantly pinging you for specific shots they need.\n\nIn short, the logging process is tedious, the search experience sucks, and distribution is a bottleneck.\n\n**Introducing Kestroll…**\n\n[**https://youtu.be/iXUkRBFOL0w?si=JOtetl3RhWbvw1Pe**](https://youtu.be/iXUkRBFOL0w?si=9OYcXXKY2DcLSrT8)\n\nKestroll integrates with any media storage solution(s) (cloud, NAS, SAN, hard drives), making the following possible across terabytes of content:\n\n* Search for content via natural language, based on visual cues, abstract concepts, or creative intent\n* Access all media content from one interface for your entire team\n* Share content via links, instead of shipping hard drives or walking them down the hall to another department (yes, people actually do that)\n* Pull content found on Kestroll directly into the editing platform (Premiere Pro, DaVinci Resolve, Lightroom, etc.)\n\n**Who we are**\n\nWe met in our freshman year, built one of the largest student-run startup accelerators in Boston during our sophomore year, and cofounded an AI language tutor in our senior year. Before building Kestroll, Ben worked as a founding engineer and Tom as a founding sales at seed-stage YC companies. Tom is also a videographer and felt this problem personally.\n\n![uploaded image](/media/?type=post&id=92522&key=user_uploads/712685/512c4d79-a337-4a5f-b0d8-f51c2b287d0c)\n\n**Our Ask**\n\nWe’d appreciate intros to anyone working with extensive amounts of media assets, especially videos!\n\n* Executives at Hollywood studios and production houses\n* VPs of Content or Digital Asset Managers at professional sports teams\n* Media asset managers at large organizations (universities, enterprises, non-profits, etc.)\n* C-suite of talent management companies, creative studios, and marketing agencies\n* Anyone working with extensive amounts of videos, photos, or audio content\n\nIf you’d like to learn more, we’d love to chat with you! Book a time with us [**here**](https://cal.com/team/kestroll/learn-more) or send us an email at [**founders@kestroll.com**](mailto:founders@kestroll.com) 😄",
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        "full_name": "Milo Schwartz",
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        "founder_bio": "I am the co-founder of Pangolin. Previously, I worked as a founding engineer on intelligent transportation systems and connectivity and monitoring solutions for public works infrastructure.",
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        "full_name": "Owen Schwartz",
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        "founder_bio": "I am the co-founder and CTO of Pangolin, an open source zero trust networking and infrastructure company. Before this, I worked as a founding engineer for 4 years on intelligent transportation systems and connectivity and monitoring solutions for public works. ",
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        "title": "Founding Engineer - Full Stack",
        "url": "https://www.ycombinator.com/companies/pangolin/jobs/7DeBchl-founding-engineer-full-stack",
        "location": "New York, NY, US",
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        "title": "Pangolin – Open-source secure gateway to private networks",
        "tagline": "Pangolin tunnels your services to the internet so you can access anything from anywhere.",
        "body": "**TL;DR: [Pangolin](https://digpangolin.com) is an [open-source](https://github.com/fosrl/pangolin) cloud and self-hostable alternative to Cloudflare Tunnels, Zscaler ZPA, and Ngrok. Pangolin provides a simple way to securely expose applications on private networks with identity-aware access control and high availability.**\n\nWe’ve seen incredible early traction since we launched 5 months ago: **12,600+ GitHub stars, 140,000+ installs, 2,700+ Discord members**. \n\nhttps://youtu.be/0nv91PgCm9M\n\n\"Pangolin isn't just a fantastically easy-to-configure VPN and reverse proxy; it's a revelation in self-hosting simplicity.\" XDA Developers\n\n**The problem:**\n\nProviding users with secure access to internal tools and infrastructure is cumbersome for both end users and administrators. They're forced to manage complex VPN clients, servers, and network configurations that create friction and operational overhead. Traditional and mesh VPN approaches require layered ACL management to control which users can access specific resources, turning simple access requests into complex network engineering problems.\n\n**Our solution:**\n\nDrop in the Pangolin connector in your network, and:\n\n* **Expose anything to the internet:** Instantly create a secure tunnel with your domain and SSL to internal dashboards like Grafana, or any other services on your private network and access via web browsers.\n* **Manage access control with ease:** Grant access to your resources with user and role-based permissions, PIN codes, temporary share links, or email OTPs. Bring your existing users by integrating an external identity provider.\n* **Own your infrastructure:** Self-host your own Pangolin Nodes, so data flows through your servers, and our cloud will handle coordination and failover for out-of-the-box high availability.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMGfOAnChfvZ2vFva0IbL-s3dj1O50IP8cfgGf7h9IDz3ViH_tHbtHEwr_bdecGPerQPY-HSRMtoRLmJew9IlaQqpQQY_1JJBluOAEKCqsWjvusZMgy_9Y5FPVvjo68nGNaZ0Uig?key=2GXukewhPJ8smnttAaub3w)\n\n\"A self-hosted version of Cloudflare Tunnels on your terms. By your terms, I mean on the infrastructure of your choice.\" Lawrence Systems\n\n**Deployment options:**\n\n* **Enterprise:** Self-host the entire system on-premises with complete control over all system components.\n* **Hybrid:** Self-host Pangolin Nodes on internal infrastructure while leveraging our cloud service for automatic failover coordination.\n* **Cloud:** Fully managed service where organizations only run network connectors to expose resources.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXc8cH83Sxqj5M57XuqQm_sofqW-Qn1sfTvTEsaTg4xYVAfRh_33XNMI8QDJrqibWqIQNVLLFHBob1vASk5ZnaX8KF5nZfY2eXYOwMp-n9UzOzyEHQUiocK89KT8izCeFG1CaEJ5xA?key=2GXukewhPJ8smnttAaub3w)\n\n**Get started:**\n\n* Website:[ https://digpangolin.com](https://digpangolin.com)\n* GitHub: https://github.com/fosrl/pangolin\n\n\"Its streamlined deployment has left janky WireGuard configurations and Cloudflare tunnels in its dust.\" [selfh.st](http://selfh.st)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdXJ0wOsKzIrKFRWntnI4mgQRM3dcsgCMe7-t3poZP4A56J7SxiqqTdPU85bzNvvTXCO5Nuu7hRM2fXyvHrAbn55MzAd2N0J374OuDMoY8PdFgfa9jg9f2eRBgYzQqfCl-Srx3t?key=2GXukewhPJ8smnttAaub3w)\n\nWe are Owen and Milo Schwartz (brothers) who previously worked together as founding engineers at a successful smart mobility startup, working on connectivity and automation solutions for public infrastructure. We are passionate about building the next generation of simple networking tools.\n\n“I’m addicted to Pangolin” [u/ParadoxHollow](https://www.reddit.com/r/selfhosted/comments/1kqrwev/im_addicted_to_pangolin/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)\n\n**The ask:**\n\nWe’d love for the YC community to try out [Pangolin Cloud](https://pangolin.fossorial.io/auth/signup) and give us your feedback!\n\nWe are also looking for any warm intros to people who might be interested in the product - particularly businesses with on prem applications or field equipment in the IoT space.\n\n**Contact:**\n\n[founders@fossorial.io](mailto:founders@fossorial.io)",
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    "long_description": "CareSwift is a real-time AI assistant built directly into ambulance reporting systems, guiding medics as they document care and instantly flagging errors. Crews complete accurate, compliant reports in under three minutes, cutting documentation time by 80 percent and helping agencies avoid insurance claim denials. Ambulance crews lose valuable time completing reports after each call. Even minor mistakes cause insurance claims to be rejected. ",
    "one_liner": "AI scribe for Ambulance Reports",
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    "industry": "Healthcare",
    "subindustry": "Healthcare",
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        "full_name": "Brian Weigand",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of CareSwift. \nCurrently an EMT, and previously worked on an ambulance in the NYC 911 system for 4 years. Additionally built ambulance reporting software for a large private ambulance company. ",
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        "full_name": "Jonathan Zero",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of CareSwift.\nPreviously led development on a Roblox gaming platform which scaled to >300 DAU, leading to a 6-figure acquisition by a competitor.",
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        "title": "Founding EMS Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/careswift/jobs/o3fmhcE-founding-ems-sales-development-representative",
        "location": "New York, NY, US",
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        "title": "CareSwift - AI Copilot for Ambulance Agencies",
        "tagline": "We help ambulance crews document reports quicker and more accurately.",
        "body": "**The problem we’re solving**\n\nAmbulance crews spend far too much time on documentation, which would be better spent caring for patients. Currently, EMTs have to write a 300-word essay and fill out 100+ checkboxes for each incident report. \n\nIf you lead an EMS agency, you know EMTs and paramedics dedicate hours each shift filling out repetitive reports, double-checking compliance requirements, and manually correcting documentation errors. These tasks delay patient care, tie up critical resources, and often lead to costly insurance claim denials due to incomplete or inaccurate reporting.\n\nCareSwift enhances provider capabilities by significantly speeding up documentation, helping units return to service faster, and boosting insurance reimbursements by ensuring reports are consistently accurate and compliant.\\\n\\\nHere’s our video [showcasing CareSwift!](https://www.youtube.com/watch?v=nOIEp8BtDcA)\n\n**How CareSwift works**\n\n* **Real-Time AI Documentation**: Our plugin integrates seamlessly with existing major ePCR systems. Providers simply speak, and our system speeds up report writing by auto-populating fields and ensuring that narratives meet compliance standards tailored to your agency.\n* **Automated Compliance Assistance**: CareSwift acts as a real-time QA/QI agent within the ePCR, proactively identifying compliance gaps and documentation errors to ensure providers document accurately and consistently during every call\n\n**Why is this the future**\n\nEMS agencies increasingly face pressure to manage increased call volume, stricter compliance requirements, and tighter budgets. Providers need intelligent support integrated directly into their existing workflows to effectively navigate these challenges.\n\nCareSwift represents the first step toward building a fully unified EMS system. By focusing on real-time documentation assistance and seamless ePCR integration today, we're laying the foundation for the future of efficient, accurate, and compliant EMS operations.\\\n**Our Team**\n\nOur founding team combines the frontline experience of our CEO, Brian, as an EMT in New York City’s 911 system; the technical expertise of our CTO, Jonathan, in scaling secure, high-load applications; and the operational excellence of our COO, John Paul, in automating complex workflows and driving enterprise sales for rapid revenue growth.\n\n**How to get started?**\n\nCareSwift supports EMS operations of all sizes, from small volunteer squads to large agencies.\n\nDiscover how CareSwift can enhance your team's capabilities, reduce documentation burdens, and ensure compliance.\n\nBook a demo here → [careswift.com/demo](https://www.careswift.com/demo)",
        "url": "https://www.ycombinator.com/launches/ODS-careswift-ai-copilot-for-ambulance-agencies",
        "votes": 32,
        "created_at": "2025-08-17T19:00:25.757Z"
      }
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    "id": 30668,
    "name": "Wedge",
    "slug": "wedge",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f77131cbecf4a204722622db553ac42245dbff78.png",
    "website": "https://www.wedge.health",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "The Operating System for Health AI: we deploy, govern, and scale AI agents across healthcare organizations.",
    "one_liner": "AI Employees for Healthcare",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare",
    "launched_at": 1753822608,
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        "full_name": "Devraj Gopal",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO at Wedge. Ex-Stanford AI. Worked on health AI at Stanford & Hopkins Med.\n ",
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        "linkedin_url": "https://www.linkedin.com/in/devraj-gopal-6a5865284",
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        "user_id": 1526360,
        "full_name": "Steven Segawa",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO at Wedge. Ex-Berkeley CS; built out ML models and fine-tuned LLMs at Nvidia, Rivian, SoFi, Intel.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/steven-segawa/",
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    "jobs": [
      {
        "id": 95428,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/wedge/jobs/QUqm8YJ-software-engineering-intern",
        "location": "San Francisco, CA, US / Remote (CA, US; New York, NY, US; MA, US; FL, US; San Diego, CA, US; LA, US; Los Angeles, CA, US; GA, US; Washington, DC, US)",
        "type": "Internship",
        "role": "Engineering",
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        "salary_range": "$3K - $8K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
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      },
      {
        "id": 109904,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/wedge/jobs/GP1U4AY-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $140K",
        "equity_range": "0.10% - 1.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 92625,
        "title": "Wedge: Palantir for Health AI Agents",
        "tagline": "Wedge deploys, governs, and scales AI agents across healthcare organizations",
        "body": "👋 Hey everyone, this is [Dev](https://www.linkedin.com/in/dev-gopal/) and [Steven](https://www.linkedin.com/in/steven-segawa/). We’re the co-founders of[ ](http://www.tasker.ai/)Wedge 👋\n\n**TLDR:** [Wedge](https://wedge.health) helps hesitant hospitals, health plans, and multi-physician organizations finally start using AI. We are the first platform to forward-deploy engineers inside health institutions to build custom agentic AI solutions.\n\n**Our ask:** We’d love to get introduced with director or c-suite folks at hospitals, especially if they’re currently implementing AI or want to implement AI.\n\n**Contact us:** [founders@wedge.health](mailto:founders@wedge.health)\n\n**Problem:**\n\nThere’s two types of AI being implemented in healthcare:\n\n1. Point Solution AI Vendors\n2. Cheap Outsourced Tech Consultant Solutions\n\nHere’s why they don’t work (and as a result, why you’re not seeing AI in the doctor’s office):\n\n1. The needs and integrations of every healthcare organization look vastly different. Did you know Epic (the #1 dominant EHR vendor) had a technical team dedicated to each hospital they integrated with? To dominate the healthcare industry, you need custom solutions.\n2. Technology consulting firms do offer custom solutions, but their work isn’t built by the best technical talent. We talked to an AI lead at the biggest tech-consulting firm, and they confirmed their solutions are all outsourced. But if the software is even remotely flawed, physicians won’t adopt- especially for AI, the industry needs reliable solutions.\n\n**Solution:**\n\nThat’s where [Wedge](https://wedge.health) comes in: we forward-deploy top engineering talent at each health organization we work with to custom build out the perfect solution for them. Once we’re done, AI products in that health institution are monitored and maintained by us forever.\n\n**Traction:**\n\nWhen the need is great, traction is easy. It normally takes months and years to get contracts with health institutions. We’re piloting at 60+ locations after just one week. Interested in our GTM strategy? Let’s talk.\n\n**Team:**\n\n[Devraj Gopal](https://www.linkedin.com/in/dev-gopal/) (CEO): Ex-Stanford AI. Worked on health AI at Stanford & Hopkins Med.\n\n[Steven Segawa](https://www.linkedin.com/in/steven-segawa/) (CTO): Ex-Berkeley CS + Lead ML Data Scientist at NVIDIA. Ex-Rivian, SoFi, Intel.",
        "url": "https://www.ycombinator.com/launches/O5x-wedge-palantir-for-health-ai-agents",
        "votes": 31,
        "created_at": "2025-07-31T23:04:19.809Z"
      }
    ]
  },
  {
    "id": 30669,
    "name": "Slashy",
    "slug": "slashy",
    "former_names": [
      "Dash"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6667cfdd83f59c43fda8940767ec6748fe44b96.png",
    "website": "https://www.slashy.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Slashy is an AI-native email client for founders and operators. It drafts replies in your voice from your sent mail, triages your inbox, tracks follow-ups, keeps your calendar in the inbox, and can be run from iMessage, Slack, or an AI agent through its MCP server. Slashy works with Gmail, Google Workspace, Outlook.com, and Microsoft 365, on web, Mac, and iOS.",
    "one_liner": "Cursor for Email",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1750786342,
    "tags": [
      "Productivity",
      "Enterprise Software",
      "Automation",
      "Email",
      "AI Assistant"
    ],
    "tags_highlighted": [],
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    "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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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/slashy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/slashy.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/slashy-email/",
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    "founders": [
      {
        "user_id": 2067448,
        "full_name": "Harsha Gaddipati",
        "title": "Founder/CEO",
        "founder_bio": "Changing email with Slashy :) \n\nSign up at slashy.com",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/harsha-gaddipati-032bb820a/",
        "x_url": "https://x.com/GaddipatiHarsha",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92acbfaee472f1cb2f0391cce84807835e411573.jpg"
      },
      {
        "user_id": 1584972,
        "full_name": "Dhruv Roongta",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder and CTO of Slashy, the AI-native email client. Studied Computer Science at Georgia Tech; previously interned at Groq, Pulse (S24), and Greptile (W24), and won prizes at CalHacks and HackMIT.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dhruv-roongta-421a7b214/",
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    "launches": [
      {
        "id": 108791,
        "title": "Slashy - start saving 2 hours a day on email",
        "tagline": "Slashy drafts replies in your voice, schedules meetings, and handles follow ups, so you spend less time managing email, and more time on what matters",
        "body": "Hey everyone we’re Harsha and Dhruv from Slashy. Our goal is to define the next generation of email, by building an email platform that actually works for you, and learns over time. \\\n\\\n**TLDR:** Slashy is the next big email platform after Superhuman, the first with an assistant built in. Slashy can do everything from writing drafts in your tone, texting you when an important email comes in, prepping you for calls, to the things you expect from a true email client like keyboard shortcuts, open tracking, a mobile app and more. All while continuously learning about you and your preferences, so it only gets better over time. The average user takes 5 minutes to get set up and saves an extra hour a day. Read an independent review from Tom’s guide (1m+ subscribers) [here](https://www.tomsguide.com/ai/slashy-is-the-ai-email-app-replacing-notion-mail-heres-why).\n\nYou can get started for free at [slashy.com](http://slashy.com), and use our YC deal for a long-term discount.\n\n**Launch Video:** <https://youtu.be/o2TN-wwCYm8>\n\n## **Problem**\n\nMost founders we speak to, have one of two problems (sometimes both)\n\n1. They spend too much time manually handling email, and not enough building their company.\n2. They don’t spend enough time on email, and lose important deals/hires due to things slipping.\n\n## **Solution**\n\nThat’s why we built Slashy, the first email platform that reliably gets work done for you, whether it be drafting emails, notifying you when a prospect replies, schedule meetings, or more. Slashy works wherever you work best, so onboarding is seamless (just ask some of our users). It takes 10 minutes to set up, and saves the average email power user an extra one hour a day. It does this by:\n\n1. **Doing all the basic things right:** Stuff like keyboard shortcuts, open tracking, unified inbox, team comments, availability links, all come part of Slashy. So you don’t lose anything transitioning from Gmail, Superhuman, Front and more. ([@Jayme Hoffman](https://bookface.ycombinator.com/user/60463) actually switched to Slashy being surprised just that a new email client could match the speed, shortcuts of something like Superhuman)\n2. **Writing drafts that sound like you:** Claude drafts sound like slop because they just look at the thread. Slashy does a lot more, it looks at the linkedin/web of recipients, past emails you’ve sent, past changes you’ve made to prior drafts, and more including using our own custom-built memory system for email. (Fun fact we have a special tool for handling suggesting times/scheduling as base llms are very bad at this). ([@Michelle Marcelline](https://bookface.ycombinator.com/user/379052) pretty much just hits send on all her Slashy drafts with minimal edits)\n3. **A powerful sidebar:** Slashy comes with a cursor-like sidebar. That lets you do things like search, draft, schedule and more. So you no longer need to keep flipping between ChatGPT and your email. ([@Yahia Bakour](https://bookface.ycombinator.com/user/2538368) loves this to power thorugh drafts and replies)\n4. **Integrations:** Slashy connects to not just your email, but your meeting notes (Granola, Fathom, Circleback, etc.), crm (Attio, Hubspot, Salesforce, etc.), Notion and more since the context to handle email isn’t just in email. ([@Pavlos Markesinis](https://bookface.ycombinator.com/user/2511438) loves how Slashy connects to his Attio and makes life simple)\n5. **Automations:** The best assistants also know when to handle things in the background. So Slashy can also automatically do things like prep you for calls, text you when an important email comes in, and more. ([@Owen Botkin](https://bookface.ycombinator.com/user/2579867) relies on Slashy to prep him from calls, and [@Pranav Madhukar](https://bookface.ycombinator.com/user/1531197) doesn’t even check his email anymore unless Slashy alerts him an email comes in)\n6. **iMessage/Slack Bot:** One of the worst parts of traditional clients? You need to open them to see if something important comes in. Slashy can ping you on text/slack so you don’t even need to context switch. (@devansh is one of our bigger Slack fans, while [@Abhinav Gopal](https://bookface.ycombinator.com/user/979064) for iMessage).\n7. **Voice:** Sometimes it’s easier to speak your mind than write (or you’re driving and just can’t haha). So Slashy lets you dictate your thoughts, and our AI will make it sound like a much better version of you. Or you can talk with our voice to voice agent when you’re commuting (@vishruth is one of our power users for our voice drafts).\n8. **Personalized Memory:** Slashy gets better the more you use it. It keeps notes on how you write, who you talk to, when you schedule, and also it learns from every edit you made before hitting send. It even once a week goes back and rewrites its notes to better match you. After all you'd expect a human assistant to be smarter after a few months, why not your ai one. ([@Devraj Gopal](https://bookface.ycombinator.com/user/2057015) loves how Slashy has grown to know him more and more).\n9. **Natural Language Labels:** A common complaint we hear is the rise of the AI SDR, and how everyone’s inbox is inundated with emails. The problem with traditional labelling systems is they don’t adjust over time, leading to important emails getting missed. Slashy’s labelling system does, leading to a much better filtering rate, and fewer dropped balls. ([@Nazli Danis](https://bookface.ycombinator.com/user/520906) was drowning in spam before Slashy)\n\n## Security and Privacy\n\nWe take security/privacy as an email client very seriously.  We’ve already gotten CASA, and SOC II. We also get monthly pen-tests done by [@Casco](https://bookface.ycombinator.com/company/30477) to ensure our users' data is safe. None of our AI providers train on your data as well.\n\n## Getting Started\n\nNow if you want to get started just go to[ slashy.com](http://slashy.com), or you can book a time here if you’d like me to demo the product/ask any questions just shoot an email to [founders+ea@slashy.com](mailto:founders+ea@slashy.com), and Slashy will schedule a time that works for both of us :)",
        "url": "https://www.ycombinator.com/launches/SIh-slashy-start-saving-2-hours-a-day-on-email",
        "votes": 33,
        "created_at": "2026-08-03T03:07:19.686Z"
      },
      {
        "id": 92851,
        "title": "Slashy: The AI for Work",
        "tagline": "Slashy is the AI assistant that slashes through repetitive work",
        "body": "Slashy is the AI assistant that slashes through repetitive work: meeting prep for sales, automatic JIRA ticket creation, updating your CRM, and more.\n\nWe built Slashy after watching brilliant people waste hours every day on tasks that should be automated. They weren't trying to build another AI tool, they wanted to build the AI that makes all your other tools finally work together.\n\nSlashy gets users 10+ hours back every week to focus on the work that actually matters.\\\n\\\nBook a meeting: https://cal.com/slashy/30min or try it out at [slashy.ai](http://slashy.ai)\\\n\\\nhttps://youtu.be/F5ptH79YvNM",
        "url": "https://www.ycombinator.com/launches/O9b-slashy-the-ai-for-work",
        "votes": 27,
        "created_at": "2025-08-08T20:59:23.348Z"
      },
      {
        "id": 91949,
        "title": "Dash: AI That Actually Gets Work Done",
        "tagline": "Meet Dash: An AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.",
        "body": "**We built an AI agent that connects to your Gmail, Slack, Notion, and more to complete work autonomously.**\n\n# [usedash.ai](http://usedash.ai) | [founders@usedash.ai](mailto:founders@usedash.ai)\n\n## The Problem\n\nKnowledge workers spend 90% of their time on manual, repetitive tasks that could be automated. Current AI tools like ChatGPT operate in isolation; they can't update Notion databases, search across Slack, or send emails.\n\n## Our Solution\n\nDash is an AI agent that connects to your tools (Gmail, Slack, Notion, Linear, Google Docs, HubSpot, calendar, and more) to complete entire tasks.\n\nhttps://youtu.be/kFPAxXAUlq8\n\n## Real Examples from Beta Users\n\n**\"Weekly team update\"**\n\n* Reads Slack channels for key discussions\n* Checks Linear tickets for sprint progress\n* Pulls metrics from HubSpot and Notion\n* Compiles and emails formatted report\n\n**\"New enterprise lead follow-up\"**\n\n* Adds leads to Hubspot with enriched data\n* Creates qualification tasks in Linear\n* Schedules follow-up calls in calendar\n* Notifies team in Slack with context\n\n**\"Daily standup agenda\"**\n\n* Pulls yesterday's completed Linear tickets and today's planned work for team members\n* Generates standup summary in Notion\n\n## We're Looking For\n\n**Know someone who is tired of switching between tools instead of making a real impact?**\n\nWe're perfect for folks who are tired of context-switching between Notion, Slack, emails, docs and more.\n\nPerfect for:\n\n* **Founders** \n* **PMs** \n* **Operations folks**\n\n**Try it for free:** [usedash.ai](http://usedash.ai)\n\n![uploaded image](/media/?type=post&id=91949&key=user_uploads/2067448/a58c2bd9-c956-48b3-a2e3-632b5cfbc418)\n\n",
        "url": "https://www.ycombinator.com/launches/Nv3-dash-ai-that-actually-gets-work-done",
        "votes": 83,
        "created_at": "2025-07-08T06:16:45.784Z"
      }
    ]
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    "id": 30670,
    "name": "cocreate",
    "slug": "cocreate",
    "former_names": [
      "CoCreate"
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    "website": "https://cocreate.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cocreate was built alongside our friends and colleagues — editors and their assistants, DITs, post supervisors, and UPMs — to design something that will keep individual professionals competitive in a landscape rapidly overrun by needless automation.\r\n\r\nWe've spent the past few years collecting as many grumbling stories of production and post production inefficiency; lost footage, wasted time. Shots un-slated, timecodes un-jammed, script supervisor notes incoherent; days wasted on menial tasks.\r\n\r\nWhat if there was a tool to take care of all that?",
    "one_liner": "video production software",
    "team_size": 10,
    "industry": "Consumer",
    "subindustry": "Consumer -> Content",
    "launched_at": 1755287719,
    "tags": [
      "Consumer",
      "Video"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Consumer",
      "Content"
    ],
    "regions": [
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      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/cocreate",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/cocreate.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/cocreate-so/",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 1742167,
        "full_name": "Tamish Pulappadi",
        "title": "Founder/CEO",
        "founder_bio": "Stanford CS, engineer with experience spanning AI, fintech, and media production. Built real-time data pipelines and predictive models at Parrot Finance; worked on robotic vision prototypes at DeepMind. Former SCPD Studio Operator at Stanford, producing high-quality educational content, and founder of PULZA Productions, a music production company with global clients.",
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        "full_name": "Archish Arun",
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        "founder_bio": "Building Cocreate! | Published researcher, Stanford CS, formerly @ PayPal and Holistic. Jazz Pianist | Forever creative",
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      {
        "id": 93051,
        "title": "CoCreate — AI-Native video editing tool",
        "tagline": "AI-native video editing software that automates video post-production",
        "body": "\n![uploaded image](/media/?type=post&id=93051&key=user_uploads/1742167/37a5da06-50ca-423f-9bcb-f0ca21e16254)\n\n**TL;DR**\n\nBefore editing even starts, professional video-production teams spend days just preparing footage — copying files, syncing audio, creating proxies, and organizing footage. For big shoots, this can eat nearly half the project’s time and budget.\n\nCoCreate is an AI-native tool that does all of that in the background while you back up your footage, so by the time your card is copied, it’s already synced, proxied, organized, and ready to edit in Premiere, Avid, Final Cut, or DaVinci Resolve.\n\nIf you work with large volumes of footage, we’d love to onboard you as an early user, connect with assistant editors, post supervisors, or DITs you know, and get your feedback on our demo.\n\n**Problem**\n\nMedia prep is the slowest part of post-production. Professional video teams juggle multiple tools to back up, sync, proxy, and organize — a process that’s repetitive, error-prone, and can consume 40% of a project’s time and budget. Existing tools fail at solving this core issue.\n\n**Solution**\n\n\\\nCoCreate is an AI-native video editing and media organization tool that gets professional video editors from SD card to edit as fast as possible. CoCreate works in parallel during backup: we checksum your files for safety, automatically sync audio with video, create proxies, and organize footage by scene, take, date, camera, and person. The result: **weeks** of prep work done in **minutes**, with everything searchable, and exportable in your preferred format.\n\n![uploaded image](/media/?type=post&id=93051&key=user_uploads/1742167/95b007b5-884d-41f2-aab6-6bee44c19ef7)\n\n**Check out our demo:** https://youtu.be/zL4gAKHMHyo\n\n**Who it’s for**\n\nWe’re built for high quality video production teams — from massive YouTubers and indie shoots to large-scale post houses — who deal with large volumes of footage and need to move faster without sacrificing quality or safety. \n\n**Our backstory**\n\nTamish and Sid first met during New Student Orientation at Stanford three years ago and quickly became close friends. A year later, Archish transferred to Stanford and was introduced to them through the university’s vibrant music scene. The three clicked instantly — not just as musicians playing campus shows together, but also as classmates grinding through late-night problem sets as CS majors.\n\nAll three had been creating music and video content for years before Stanford, and they kept that momentum going on campus — producing projects that have collectively garnered millions of views across platforms. That blend of long-standing creative experience and technical expertise made them deeply familiar with the pain points of media production, ultimately inspiring them to build **cocreate** to make high-volume post-production faster, simpler, and more collaborative.\n\n**Our ask to the YC community:**\n\n* **Post houses / production teams** — if you handle lots of footage, we’d love to onboard you as early users.\n* **Introductions** to assistant editors, post supervisors, or DITs you know.\n* **Feedback** on our product demo — especially from those with experience in high-volume video workflows.\n\nIf you can help us with any of this, please reach out at [founders@cocreate.so](mailto:founders@cocreate.so).\n\nThank you!\n\n**Team**\n\nTamish Pulappadi - https://www.linkedin.com/in/tamish-pulappadi/\n\nSid Yu - https://www.linkedin.com/in/sid-yu/\n\nArchish Arun - https://www.linkedin.com/in/archisharun/\n\nMatan Hamam - https://www.imdb.com/name/nm9327125/",
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        "created_at": "2025-08-18T15:00:02.968Z"
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    "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.",
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        "full_name": "Youssef Kallel",
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        "id": 92664,
        "title": "💻 AgentHub 📈 - The Staging Environment for your AI Agents",
        "tagline": "Simulate, trace, and evaluate agent behavior in real-world environments",
        "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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        "votes": 29,
        "created_at": "2025-08-02T13:40:37.564Z"
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    "name": "Nexa Labs",
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    "industry": "Industrials",
    "subindustry": "Industrials -> Agriculture",
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        "full_name": "Zarif Azher",
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        "title": "Nexa Labs: Implantable Microchips for Cattle Monitoring",
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        "body": "**TLDR:** Nexa builds implantable “FitBits” + AI for cattle monitoring. We empower farmers with early disease detection and reproductive insights that save them time and money.\n\nhttps://youtu.be/goioQTngpSU\n\n**Problem**\n\nEfficiently monitoring cattle health and reproduction is critical to maintain farm profitability. But the traditional practice of manually inspecting animals doesn’t scale - labor costs add up, while farms miss disease outbreaks and breeding cycles. Disease alone causes \\~$100 billion in losses yearly for cattle farms globally.\n\nExisting tech for monitoring cattle includes external wearables like collars and ear-tags. Being outside thick cattle skin, these can’t accurately track useful biometrics beyond “activity” (a glorified step-count). There’s also boluses, pill-shaped devices that sit in the cow stomach. But these are super expensive, have short battery life, and can’t be used for beef cattle.\n\n**Solution**\n\nNexa is building implantable microchips that go underneath the skin in the ear of cattle. We analyze vital biometrics - like temperature, heart rate, blood oxygen, activity, GPS location, and more - that other systems miss, to empower farmers with early disease detection and reproductive insights. And because our electronics operate at millimeter scale, we benefit from low production costs and pricing up to 70% cheaper than current solutions.\n\nOur hardware also enables collection of the world’s largest cattle health dataset - so, we can develop foundation models that can unlock new possibilities in farm management and livestock pharma. \n\nWe’re currently launching our dairy pilot program - if you know any dairy farmers based in the USA, please send them our way at [admin@nexa.farm](mailto:admin@nexa.farm) :)\n\n**About Us**\n\nWe’re a team of Caltech dropouts with backgrounds in bioengineering, electrical engineering, CS, math, and physics. We want to build technology that makes a tangible impact on the lives of real people in America and beyond.  \n\n![uploaded image](/media/?type=post&id=92930&key=user_uploads/89898/0ae16cce-d4d4-40c1-b80d-7079d433d8e6)\n\n",
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        "created_at": "2025-08-12T15:36:19.597Z"
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        "full_name": "Chris Markus",
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        "title": "Founding Embedded Engineer",
        "url": "https://www.ycombinator.com/companies/bootloop/jobs/ZEkiBte-founding-embedded-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Embedded systems",
        "salary_range": "$180K - $280K",
        "equity_range": "1.50% - 3.00%",
        "experience": "3+ years",
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        "title": "BootLoop - AI Agent for Firmware & Embedded Software",
        "tagline": "AI that writes, tests, and debugs firmware on real hardware in minutes.",
        "body": "## **TL;DR**\n\nAll modern hardware needs firmware but it’s expensive, time-consuming and bugs in the field can lead to multi-million dollar recalls. BootLoop is building an AI agent to deliver custom firmware, fully tested on your hardware, in minutes not months. Our team built the firmware for SpaceX’s Raptor engine from first fire to flight, made brain-computer interfaces at MIT, and is _embedding_ that experience into our agent.\n\n**Ask:** Are you building hardware or do you know someone who is? Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=GBI1fkx5Bss\n\n## **❌ The Problem**\n\nAll modern hardware needs firmware, but writing firmware is hard. It’s difficult to debug and tricky to validate and chip datasheets can reach upwards of 3000 pages. On top of that, there’s a shortage of qualified firmware engineers. As hardware gets more complex, the time and cost to write firmware for it goes up exponentially.\n\n**The problems are staggering:**\n\n* The hardware world is **incredibly fractured** - over 65 different major manufacturers, producing over 80,000 unique chips, each of which has different software stacks, different frameworks, and different capabilities\n* Modern hardware requires sophisticated networking stacks, power optimization, and advanced security, driving up complexity\n* Firmware engineers are hard to find - **you can't major in firmware engineering** - and even the most attractive engineering companies take up to **6 months to find a qualified engineer**\n\n## **🤖 Our Solution**\n\nWe’re building an AI agent specifically for firmware and embedded software development, with the context and tooling needed to write low-level code and validate it on hardware in real-time.\n\n**Key capabilities of our Agent:**\n\n* **Deep hardware understanding:** Ingests your documentation, datasheets, schematics, system diagrams, existing codebases, and more…\n* **Hardware interaction:** Talks directly with your boards and test equipment like oscilloscopes, logic analyzers, and hardware debuggers\n* **Real testing:** Validates code on actual hardware or in simulation\n* **Framework expertise:** Writes in your language and style using your preferred embedded frameworks and proprietary libraries\n* **ITAR compliance:** The first ITAR-capable coding agent, opening massive aerospace and defense markets\n\n**Pilot program:** Our team will work with you as forward-deployed engineers on a specific firmware problem. We’ll use our agent internally to deliver aerospace-grade code FAST, with a human validating every line. After the pilot, we’ll deploy your custom version of the BootLoop agent for your future firmware needs.\n\n## **👥 The Team**\n\n**Chris Markus (CTO)** - Former **lead software engineer for SpaceX's Starship booster catch system**. He also built SpaceX’s **Raptor engine firmware from first fire to flight**. Before SpaceX, he was a visiting researcher at MIT Media Lab designing EEG electronics and firmware lead for an FDA-authorized ventilator.\n\n**Noah Pacik-Nelson (CEO)** - Formerly at Accenture’s AI Refinery, he **built agents for Fortune 500 companies**. Prior, he researched neuromorphic computing and ultra-low power edge AI at Accenture Labs. He has **patents and papers across AI adaptation, digital signal processing, and energy harvesting** and was a visiting researcher at the MIT Media Lab, building brain-computer interfaces for ALS patients.\n\n## **🙏 Our Ask**\n\n**If you're building hardware (or know someone who is), we'd love to add you to our pilot program.** Email us at [founders@bootloop.ai](mailto:founders@bootloop.ai) to get on the list.\n\nDuring the pilot, we’ll create your firmware FAST, using the BootLoop agent internally while reviewing every line by hand to ensure it meets our rigorous standards.\n\n**Currently Onboarding:**\n\n* Deep tech companies\n* Aerospace & defense contractors\n* Medical device manufacturers\n* Robotics companies\n* IoT hardware developers\n\n![uploaded image](/media/?type=post&id=92063&key=user_uploads/2669426/4b1f40ab-f41d-4013-bdd5-a557a8faf4a3)\n\n",
        "url": "https://www.ycombinator.com/launches/Nwt-bootloop-ai-agent-for-firmware-embedded-software",
        "votes": 74,
        "created_at": "2025-07-11T14:54:46.832Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stellon Labs is an AI research lab that is building tiny frontier AI models that can run on edge devices like smartphones, wearables and embedded systems. Our first open source model, KittenTTS, is a super-tiny text-to-speech model, that got 8K Github stars and 45K model downloads within 2 weeks of launching. ",
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    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Rohan Joshi",
        "title": "Founder/CEO",
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        "full_name": "Divam Gupta",
        "title": "Founder/CTO",
        "founder_bio": "Packing intelligence in super-tiny AI models. \n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/divamgupta",
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        "title": "Stellon Labs: Building Tiny AI Models for Edge Devices",
        "tagline": "We build super-tiny frontier models that can run literally anywhere - No GPU Required! ",
        "body": "[Launch Video](https://www.youtube.com/watch?v=aUoLxgi5hQA)\\\n\\\n**The problem:**\\\nExisting foundation models are so large that they need an insane amount of compute and memory, making them inaccessible for edge devices like smartphones, laptops, robots and other embedded systems. \\\n\\\n**What we do:**\\\nWe are training state-of-the-art tiny models designed specially to run on these devices without compromising on quality. Our first model is KittenTTS 😻 , which is a tiny open-source text-to-speech model that is under 25MB in size. It got 8K Github stars and 45K model downloads within 2 weeks of launch. At Stellon Labs, we are building tiny frontier models for Speech, Language and Video intelligence to power every single device in the world.\\\n\\\n**Our ask:**\\\nWe would like to connect with developers or companies( both software and hardware) that are interested in running AI models locally. We are happy to provide support for custom models, training and deployments across different applications.\\\n\\\n**Our links:**\\\nGithub - https://github.com/KittenML/KittenTTS (pls star ^^)\\\nWebsite - [https://stellonlabs.com](https://stellonlabs.com/)\\\nEmail - [info@stellonlabs.com](mailto:info@stellonlabs.com)",
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    "long_description": "Kalinda helps class action law firms qualify potential cases in minutes with AI.\r\n\r\nThe nature of class action/mass torts involves thousands of cases for a single lawsuit. For every plaintiff (injured person), law firms involved in these cases compile everything from the products they used to the injuries they have. This data is extensive, granular, and buried deep in thousands of pages of medical, financial, and employment records and others.\r\n\r\nKalinda extracts, summarizes, and aggregates data from these records for attorneys with AI.\r\n\r\nWhen scaled across an entire litigation, Kalinda works tirelessly and in parallel—turning a process that once took months into just a few hours. \r\n\r\nKalinda provides firms with the equivalent manpower of hundreds of paralegals and legal nurses, allowing them to quickly determine which claimants are eligible and helping them file faster and in greater volume.\r\n\r\nTo date, we’ve processed 600k pages of records and are live with 2 of the largest plaintiff law firms in the U.S!",
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    "city": "San Francisco",
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      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
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        "full_name": "Sayan Bhatia",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Kalinda. Prev. AI research at LUKA Lab. Co-founded and scaled a STEM non-profit to 7000 students worldwide. On a mission to deliver justice faster and for more in the fight against corporate negligence. ",
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        "linkedin_url": "https://www.linkedin.com/in/sayanbhatia/",
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        "full_name": "Sohil Bhatia",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Kalinda. Prev. AI research at Pacific Northwest National Lab. Co-founded and scaled a STEM non-profit to 7000 students worldwide. On a mission to deliver justice faster and for more in the fight against corporate negligence. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sohilbhatia/",
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        "id": 87871,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/kalinda/jobs/mxfirbk-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $200K",
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        "experience": "3+ years",
        "visa": "Will sponsor",
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        "title": "Kalinda - Deep Research for Class Action Lawyers",
        "tagline": "Kalinda helps class action law firms qualify potential cases in minutes with AI ",
        "body": "**TL;DR:** Kalinda helps class action law firms qualify potential cases in minutes with AI — giving plaintiff law firms the equivalent manpower of thousands of paralegals and legal nurses. \n\nHey YC! We’re [Sayan](https://www.linkedin.com/in/sayanbhatia/) and [Sohil](https://www.linkedin.com/in/sohilbhatia/). We’re brothers and the co-founders of Kalinda.\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n**The Problem:**\n\n* Millions of people every year join class action and mass tort lawsuits, hoping for justice and compensation. \n* For the law firm, this means verifying proof of usage and liability for each person—information often buried across thousands of pages of medical, pharmaceutical, and product records. \n* This compounds to several months of work for law firms just to determine who qualifies and who doesn’t.\n\n**Our Solution:**\n\nhttps://www.youtube.com/watch?v=EaPmwze4G18\n\nKalinda…\n\n* **Extracts** proof of use, proof of injury, and other critical data points\n* **Aggregates** and correlates this data against lawsuit criteria\n* **Generates** a single report so plaintiff attorneys instantly know if a case is valid to file\n\nAll while doing this for each case, _working tirelessly and in parallel_. \n\nWhen scaled across an entire litigation this turns a process that once took months into just a few hours.\n\nAs the lawsuit progresses and criteria change, we also help attorneys filter, categorize, and score to surface their strongest cases.\n\n**Where we’re at:**  To date, we’ve processed 600k pages of records and are live with 2 of the largest plaintiff law firms in the U.S!\n\n**The Why & The Vision:**\n\nThe plaintiff side of class actions and mass torts have struggled for decades now with what’s often called the [“Field of Dreams” problem](https://texaslawreview.org/multidistrict-litigation-and-the-field-of-dreams/). Thousands of clients sign up for a lawsuit looking for restitution - only to leave the law firm buried in records, missing deadlines, and filing bad cases. When courts throw out these bad cases, it weakens the plaintiff side’s leverage in settlement negotiations.\n\nWith Kalinda, class action & mass tort law firms can now file valid cases faster and file more of them — fundamentally changing for the first time in 172 years not only how many people can get justice against corporate negligence, but how fast it’s delivered.\n\n**The Team:**\n\n![uploaded image](/media/?type=post&id=93158&key=user_uploads/2232317/204e2640-94bc-464d-b0da-40f257ffc8d8)\n\n* **Sayan (Co-founder & CEO) -** did AI research at UC Davis’s LUKA Lab in instruction tuning optimization. \n* **Sohil (Co-founder & CTO) -** did AI research at Pacific Northwest National Lab\n\nWe’ve been collaborators together since Day 1 and even co-founded and scaled a STEM non-profit together to 7000 students worldwide.\n\n**Our Ask:**\n\nIf you either have \n\n1. Been a part of a class action or mass tort in the past\n2. Know a friend or family who’s been a part of a class action or mass tort \n3. Know any attorneys, paralegals, associates at class action/mass tort law firms.\n\nReach out at [founders@kalinda.ai](mailto:founders@kalinda.ai). We would love to chat!",
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        "votes": 13,
        "created_at": "2025-08-19T18:41:06.695Z"
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    "id": 30680,
    "name": "Riverbank",
    "slug": "riverbank",
    "former_names": [
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      "Riverbank",
      "Riverbank Security"
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    "website": "https://www.riverbank.sh/",
    "all_locations": "Boston, MA, USA",
    "long_description": "Riverbank is an infrastructure cartography company. We map system topology, dependencies, interfaces, and reachable pathways across heterogeneous environments.",
    "one_liner": "Infrastructure Cartography",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1754465108,
    "tags": [
      "IoT Security",
      "Enterprise Software",
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
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      "United States of America",
      "America / Canada"
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    "country": "US",
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        "full_name": "Carter Pry",
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        "founder_bio": " ",
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    "id": 30681,
    "name": "Conviction",
    "slug": "conviction",
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    "website": "https://convictiontrade.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Conviction lets you create and discover trading ideas, then monitors the market and acts on them for you.\r\n\r\nStart with any idea you have - or discover one from traders you follow on X or Reddit - and turn it into a strategy in natural language. Backtest it, paper trade it, deploy it and share what you learn.",
    "one_liner": "Anyone Can Trade",
    "team_size": 3,
    "industry": "Fintech",
    "subindustry": "Fintech",
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      "Crypto / Web3",
      "Consumer Finance",
      "AI",
      "Stocks"
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        "user_id": 1334167,
        "full_name": "Aria Vikram",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO @ Conviction. Previously NLP Researcher @ Columbia; deployed AI chatbots for doctors @ CUIMC. Google Code-In Grand Prize winner, RSI alum, and USAID awardee.",
        "is_active": true,
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        "user_id": 2721903,
        "full_name": "Tony Yamin",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Conviction; turned down offers from Google and BlackRock. Previously built machine-learning infrastructure for the U.S. Department of Defense at Booz Allen. Best AI @ HackPrinceton and Finalist @ YaleHack.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tyamin",
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        "id": 100109,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/conviction/jobs/dKyC4hT-founding-engineer",
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        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $210K",
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        "id": 107800,
        "title": "Quantitative Engineer",
        "url": "https://www.ycombinator.com/companies/conviction/jobs/0HkAQMH-quantitative-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$90K - $210K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
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        "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 04, 2025"
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      {
        "id": 115741,
        "title": "Conviction - Trading Desk in Your Pocket",
        "tagline": "Turn ideas into trades in seconds ",
        "body": "Hey everyone!\n\nWe’re Aria &amp; Tony, co-founders of Conviction. We spent much of college experimenting with our own trading strategies. We became obsessed with one question: why should sophisticated trading tools only be accessible to Wall Street?\n\n**TL;DR:** Describe a trading idea in natural language. Conviction tests it on historical data and deploys an AI agent that trades on your behalf.\\\n\\\n<https://youtu.be/Pdqy2_8Red8>\n\n**The Problem**\n\nMost people don't have time to stare at charts all day. \n\nBut trading ideas show up everywhere: On Reddit. In the news. On X. YouTube. TikTok.\n\nThe hard part is separating signal from noise and acting in time. \\\n\\\n**Our solution**\n\nConviction gives everyday investors access to the kind of research, testing, and execution tools that were once built primarily for professional trading desks.\n\n### **How it works**\n\n1. **Start with an idea**\\\n   Describe a trading thesis or discover one from the market.\n2. **Research it instantly**\\\n   Conviction pulls from SEC filings, financial news, market data, X, Truth Social, Reddit, earnings, and other signals to help you build the strategy.\n3. **Test before you trade**\\\n   Backtest your strategy against historical market data in seconds and see how it would have performed.\n4. **Try it with fake money in the real market**\\\n   Paper trade the strategy live before putting real capital behind it.\n5. **Deploy when you are ready**\\\n   Connect your brokerage and put your strategy to work.\n6. **Let your agent watch the market for you**\\\n   Your AI agent continuously monitors market data, technical indicators, news sentiment, SEC filings, earnings, social signals, and more, then acts when your conditions are met.\n\nInstitutions have always been one step ahead. Our mission is to bridge that gap and bring those tools to you.\n\n**Start trading here:** [convictiontrade.ai](http://convictiontrade.ai)\n\n**Questions?** Email us here: [founders@convictiontrade.ai](mailto:founders@convictiontrade.ai)\n\n**Join our Discord** to be part of the Conviction community. Get access to exclusive offers, swag, product updates, and opportunities to help shape what we build next: <https://discord.gg/cx27rUVeF>\n\n**Our ask:** Traders, future traders, market obsessives. Send this to your people.",
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        "votes": 1241,
        "created_at": "2026-09-16T23:25:03.321Z"
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      {
        "id": 92824,
        "title": "Parachute: Evaluate, Deploy, and Monitor Clinical AI",
        "tagline": "We enable hospitals to adopt AI safely and at scale",
        "body": "Hey everyone!\n\nWe’re Aria & Tony, co-founders of Parachute – the end-to-end governance infrastructure that helps hospitals adopt AI safely and at scale. \n\n**TL;DR:** \n\nParachute helps health systems evaluate, deploy, and monitor every AI tool they touch – whether it’s an Epic plug-in, vendor model, or in-house imaging model.\n\nhttps://youtu.be/tRvaL0LaWOI?feature=shared\n\n**Why we built this**\n\nDuring our time spent deploying AI at Columbia University Irving Medical Center (CUIMC), we kept seeing the same issues:\n\n* 2,000+ clinical AI tools have hit the market\n* New rules (HTI-1, Colorado AI Act, CA SB 3030, White House AI Action Plan) demand auditable proof of safety, equity, and efficacy\n* Lean IT teams can’t possibly vet and watch every model, and a single failure can cost lives and trigger seven-figure settlements\n\nGreat innovations die in pilot hell because the infrastructure to deploy AI tools simply does not exist.\n\nThat’s why we built Parachute and why CUIMC now uses it to track live models in real time.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfMeMr6DgcDfTSH91cRA9KtSS09A-U2M58jcX1CTXsbPw7Ud6BHvJcCpmNCjMdLr81Nsd2w887yyYtaGkNny9DtSgWATBs8qekupLkiRfuj4WlU33gbaf9u5hCBcgUypKIjh6yFlA?key=tv4NvQsH04_CHvpgP40CGw)\n\n🪂 **How Parachute works** \n\n**1. Vendor discovery and vetting**\\\nAI agents map the hospital’s gaps and goals to the best AI tools on the market, while our review engine flags any compliance issues in vendor documentation.\n\n**2. State-of-the-art benchmarking and evaluations**\\\nOur automated scoring and stress testing helps decision makers identify the best-fit options.\n\n**3. Real-time observability**\\\nOnce a tool is adopted, Parachute monitors it from inception through post-deployment. We automate real-time tracking of performance, drift, and bias – alerting you the moment any metric slips below threshold.\n\n**4. Immutable audit trail**\n\nEvery approval, test, change, and runtime metric around a model is documented and audit-ready for regulators.\n\n**Call to action**\n\nHospital leaders: Want stalled pilots live before 2026, access to the world’s best AI tools, an audit-proof evidence trail and hands-free monitoring? \n\nAI vendors: Want your product listed in the only marketplace that maps directly to hospital gaps and compliance needs?\n\nReach us at [founders@parachute-ai.com](mailto:founders@parachute-ai.com) or book a meeting [here](https://calendly.com/founders-parachute-ai/30min). \n\nFor more information visit: [parachute-ai.com](http://parachute-ai.com)\n\n**Launch Offer**\n\nYC AI companies: 50% off a marketplace listing.",
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    "long_description": "Datasets and environments to help healthcare agents succeed at complex tasks.",
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        "full_name": "Larissa Tyagi",
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        "founder_bio": "My edge as a founder is technical sales — I'm deeply technical and equally personable. I drove us to final-stage negotiations with NBA teams for injury-prevention software within 3 months of starting Louiza.\n\nEx-Apple Software Engineer, Carnegie Mellon Graduate, Nationally Ranked ballroom dancer, and Competitive Golfer now building Louiza. \n\n",
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    "name": "Doe",
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    "website": "https://doe.so/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Doe is where AI agents actually do your work. Connect your tools, tell Doe what you need, and agents handle it. When you want to do something yourself, Doe makes you faster and smarter. The boring stuff disappears. Everything else gets better.",
    "one_liner": "The boring stuff, handled. Everything else, supercharged.",
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        "full_name": "Adrian Barbir",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO of Doe",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adrianbarbir",
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        "full_name": "Richard Ou",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO of Doe, prev. Vapi, Wordware, second-time founder, youngest board advisor on Penn's Center for AI, Physics & CS",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/yuhuangou",
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      {
        "id": 96000,
        "title": "Doe: A new productivity platform",
        "tagline": "Doe is where AI agents actually do your work. Connect your tools, tell Doe what you need, and agents handle it. When you want to do something yourself, Doe makes you faster and smarter. The boring stuff disappears. Everything else gets better.",
        "body": "Hey everyone, we're [Adrian](https://x.com/AdrianBarbir) and [Richard](https://x.com/YuhuangOu). We've been building Doe for the past few months.\n\n**TL;DR**\n\nDoe is an action engine for work. You connect your tools, tell it what you need, and agents go do it. Not chat. Actual execution: pull data, update records, send messages, run workflows across your systems. When you do things yourself, like modifying spreadsheets or writing an email, agents work alongside you.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/622bda3c-17da-4c86-b127-9e495e250a54)\n\n\\\nhttps://doe.so\n\n**What we're building toward**\n\nKnowledge working is changing as you read this post. Not \"AI answers your questions\" change. More like: you wake up and agents have already reconciled your expenses, flagged at-risk deals, and drafted the weekly update. You review, adjust, and move on. The tedious stuff happened while you slept.\n\nWhen you do want to dig in or do stuff yourself, you're augmented with sets of tools. A good example is cursor’s tab/autocomplete. Your work platform has context and every action you take is faster because of what's running in the background.\n\n![uploaded image](/media/?type=post&id=96000&key=user_uploads/1867926/23d9a617-3216-4243-8198-3f6a8ae8e52d)\n\nThat's the vision. A workspace where agents do work and humans get augmented.\\\n\\\n**What you can do today**\n\n1. **Ask anything about your data.** No SQL. No dashboards. Just ask.\n2. **Get boring work done.** Agents update your CRM, send Slack messages, create Linear tickets, pull reports, and create financial models. You watch in the preview pane and step in when you want.\n3. **Set up Loops.** Agents that run on a schedule. Daily pipeline reviews. Weekly reconciliation. Continuous monitoring. Set it once.\\\n   \\\n   We like having Doe go through our linear + github to create a performance review each day :)\n\n**Enterprise stuff**\n\nSOC 2 Type II. HIPAA-ready. Zero data retention with LLM providers. SSO, SCIM, audit logging.\n\n**Our asks**\n\n**Try it:** [doe.so](http://doe.so) - it’s free\n\n**Tell us what's broken:** We're building fast and want to know what doesn't work\n\n**Intros:** If you know ops, sales, or finance folks, we'd love to meet them. We think this can be a cursor",
        "url": "https://www.ycombinator.com/launches/OyO-doe-a-new-productivity-platform",
        "votes": 20,
        "created_at": "2025-12-04T22:23:34.811Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "IronLedger automates property accounting for property managers, developers and contractors, starting with accounts payable. We eliminate more than $70K of accounting costs annually for over 80K multifamily units.\r\n\r\nhttps://www.ironledger.ai/",
    "one_liner": "AI-enabled Corporate Cards and Invoice Processing for Real Estate",
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    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction -> Housing and Real Estate",
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        "full_name": "Nick Amore",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ IronLedger.ai - Building AI agents for property accounting. \n\nPassive real estate investor (500+ units) with family experience in development and management. Previously invested in real estate at Rockbridge Capital and researched real estate at Wharton. \n\nFormer investor at Future Back Ventures and consultant at Bain & Co. Supported operations at Cruise ($1B-exit; YC)\n\nStudied finance & real estate at Wharton. Minored in computer science.",
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        "full_name": "Samuel Li",
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        "founder_bio": "Building AI agents for property accounting.\n\nFormer software engineer at Rippling, where I led projects within Time Products and Global Payroll.",
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        "url": "https://www.ycombinator.com/companies/ironledger-ai/jobs/e381x9h-founding-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "title": "Founding Sales Development Representative (SDR)",
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        "id": 92570,
        "title": "IronLedger.ai: AI agents for property accounting",
        "tagline": "Eliminate 100s of hours from your property accounting workflows",
        "body": "Hi all, we’re Nick & Sam and the co-founders of [IronLedger](https://www.ironledger.ai/?utm_source=yc-launch&utm_medium=referral&utm_campaign=yc-launch-2025).\n\nIronLedger provides AI agents for property accounting, starting with accounts payable. **We already eliminate 100s of hours of expense work for 1000s of multifamily units every month.**\n\nIf you know any property owners, managers or accountants, we can save them 100s of hours and $1000s in accounting spend per month. Reach out to [sales@ironledger.ai](mailto:sales@ironledger.ai) for them to take advantage of our special Launch Deal: _25% off your first month + cancel anytime (ends 08/08/25)._\n\nhttps://www.youtube.com/watch?v=FHruoQipavM\n\n# **Today, property accounting is a massive headache**\n\nFor every 1,000 multifamily units, someone on your accounting team is stuck analyzing 400+ transactions. They’re flipping between Yardi, Excel and Outlook, while texting property managers for more detail. It’s not uncommon for this process to take a full week of every month. Accounting teams also have to balance billbacks, bank reconciliations and dozens of other workflows. As an owner or manager, the stress of maintaining accurate financials and finding quality accountants, takes energy away from growing your business. \n\nTraditional thinking is to throw more headcount at the problem or outsource accounting. But these are expensive, time consuming, and low quality options.\n\n# **Enter IronLedger**\n\nIronLedger offers the first AI agents for property accounting. Using AI, IronLedger can read, code and collect relevant details from every transaction. It tracks invoices over email, receipts over text and proactively communicates directly with other humans (vendors, managers or maintenance teams) so you don’t have to. IronLedger makes your data immediately accessible, so accountants and asset managers can start closing your books in days, not weeks.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/109de86c-2701-46e9-9eae-754dbc73cb02)\n\nIronLedger also codes as well as your best accountant. Using thousands of historical transactions, the right context, and novel LLM techniques, we can code your expenses with &gt;99% accuracy. Low confidence transactions are proactively flagged for review.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/98d16650-f1c6-429c-9777-ff476e537ea6)\n\nSetup requires &lt;2 hours of your time and IronLedger is immediately built into your existing team’s workflows. \n\nStop your accounts payable headache today. Partner with [IronLedger](https://www.ironledger.ai/?utm_source=yc-launch&utm_medium=referral&utm_campaign=yc-launch-2025) ([sales@ironledger.com](mailto:sales@ironledger.com)).\n\n# **About us**\n\nNick (CEO) was previously a consultant at Bain & Co and venture investor with Future Back Ventures. He is a passive real estate investor and his family developed & managed commercial real estate. Sam (CTO) was previously a tech lead at Rippling and built core Rippling HRIS systems as they scaled from 300 to 5K+ employees.\n\n![uploaded image](/media/?type=post&id=92570&key=user_uploads/2556851/4a60808c-d7d1-4e75-8723-3294de26a55e)\n\n",
        "url": "https://www.ycombinator.com/launches/O54-ironledger-ai-ai-agents-for-property-accounting",
        "votes": 53,
        "created_at": "2025-07-30T17:58:11.550Z"
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    "id": 30686,
    "name": "OneStop",
    "slug": "onestop",
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    "website": "https://www.askonestop.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "OneStop is a local classifieds network for New York City. Find and post local listings. ",
    "one_liner": "The local internet for NYC.",
    "team_size": 2,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1754968088,
    "tags": [
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    "nonprofit": false,
    "batch": "Summer 2025",
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        "id": 92892,
        "title": "Trace 👾 Route repetitive tasks to AI agents",
        "tagline": "Trace helps teams map existing workflows and automate repetitive tasks using AI agents",
        "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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        "body": "**TL;DR:**\n\nWe’re building the best software for debugging AI agents and their environments. If you’re building RL environments or deploying agents, get in touch with us and try out our product.\n\nhttps://www.youtube.com/watch?v=WXa-cGlg6E4\n\n**The problem**\\\nAgents are incredibly complicated. Evals are a mess. We need to understand what our agents are capable of and if our RL environments even work.\n\n**The solution**\n\nOur monitoring system identifies why your agents don't succeed, uncovers bugs in your environment, and detects fake solutions, reward hacking, or catastrophic agent failures. Our redteaming agents run experiments to diagnose your agent issues. They plug into your environments, agent traces, and agent source code to find the root cause of your issues. Finally we take all of these investigations, and turn them into intuitive, explorable reports you can chat with.\n\n![uploaded image](/media/?type=post&id=93452&key=user_uploads/1059517/a3db8aa8-5dd2-4553-a943-ecb805d5861e)\n\n\\\n\\\n**Who we are**\\\nWe met at MIT where we were doing research on LLMs. In our latest paper we built a method for scalably generating software environments of arbitrary difficulty. Doing it ourselves gave us the know-how to build a great environment debugger. We have published at top ML conferences  (NeurIPS, CoLM) and built widely-used open source software (5k stars, &gt;100k downloads). Our team has won a total of four medals at international olympiads in physics and economics.\n\n**Call to action:**\n\nEmail us at [team@fulcrumresearch.ai](mailto:team@fulcrumresearch.ai) if you’re building environments or deploying agents, and share this around with people who are. Or [chat with us](https://cal.com/kaivu/30min)!",
        "url": "https://www.ycombinator.com/launches/OJI-fulcrum-the-agentic-debugger-for-ai-systems",
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        "title": "Fulcrum: The Agentic Debugger for AI Systems",
        "tagline": "Fulcrum - for those who are tired of being bullshitted by their agents",
        "body": "**TL;DR:**\n\nWe’re building the best software for debugging AI agents and their environments. If you’re building RL environments or deploying agents, get in touch with us and try out our product.\n\nhttps://www.youtube.com/watch?v=WXa-cGlg6E4\n\n**The problem**\\\nAgents are incredibly complicated. Evals are a mess. We need to understand what our agents are capable of and if our RL environments even work.\n\n**The solution**\n\nOur monitoring system identifies why your agents don't succeed, uncovers bugs in your environment, and detects fake solutions, reward hacking, or catastrophic agent failures. Our redteaming agents run experiments to diagnose your agent issues. They plug into your environments, agent traces, and agent source code to find the root cause of your issues. Finally we take all of these investigations, and turn them into intuitive, explorable reports you can chat with.\n\n![uploaded image](/media/?type=post&id=93453&key=user_uploads/1059517/a3db8aa8-5dd2-4553-a943-ecb805d5861e)\n\n\\\n\\\n**Who we are**\\\nWe met at MIT where we were doing research on LLMs. In our latest paper we built a method for scalably generating software environments of arbitrary difficulty. Doing it ourselves gave us the know-how to build a great environment debugger. We have published at top ML conferences  (NeurIPS, CoLM) and built widely-used open source software (5k stars, &gt;100k downloads). Our team has won a total of four medals at international olympiads in physics and economics.\n\n**Call to action:**\n\nEmail us at [team@fulcrumresearch.ai](mailto:team@fulcrumresearch.ai) if you’re building environments or deploying agents, and share this around with people who are. Or [chat with us](https://cal.com/kaivu/30min)!",
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        "full_name": "Zlatko Jončev",
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        "id": 120586,
        "title": "b12 Foundry - We Make the Molecules AI Designs",
        "tagline": "AI Chemistry Foundry - from a molecule on a screen to a compound in a vial",
        "body": "![uploaded image](/media/?type=post&id=120586&key=user_uploads/2507050/a1d7d999-eef2-4350-86a4-f299ef904756)\n\n\\\n**TL;DR:**\n\nAI can design a molecule in seconds, but making it can still take a chemist weeks. b12 Foundry turns a molecule on a screen into a compound in a vial, in a fraction of the time it would take a chemist. A combination of state-of-the-art AI agents plans the route, designs the experiments and runs them on robots in our partner lab, so you get your molecules, and clean data including failed reactions, without needing a lab of your own. **Last year we launched here as a chemistry copilot. Today we work with several large companies, across pharma, flavor and fragrance, energy and biotech industries and universities, and the Foundry is actively making molecules for clients.**\n\n#### ❌ **The problem:**\n\n**AI designs molecules faster than anyone can make them:**\n\n* AI models can now design a molecule in seconds, but making it can still take a chemist weeks.\n* The most interesting designs sit outside the catalogues vendors build from simple, reliable reactions, so someone has to make each one by hand.\n* In practice, teams end up testing an easier cousin of the molecule their model wanted, or nothing at all.\n\n**Good chemistry data is hard to find:**\n\n* Published data mostly shows the reactions that worked, so the failures that models need to learn from rarely get recorded.\n* Running clean, consistent experiments at scale takes a lab, robots and people that most AI teams don't have.\n\nIf you're building AI for drug discovery or materials, synthesis is quickly becoming your bottleneck.\n\n## ✅ **Our Solution:**\n\n<https://youtu.be/HV_etgiCdkM?si=ypo5-kO_EwbztgpO>\n\n**b12 Foundry** combines state-of-the-art AI agents with robots in our partner lab, so we can **plan** and **run** complex chemistry for you, end to end.\n\n**How it works:**\n\n* **Send us a molecule or a workflow:** Share a structure your model designed, or an experiment you want run.\n* **Our agents plan the chemistry:** They work out how to make the molecule and design the experiments for the hardest steps.\n* **Robots run it in our partner lab:** The agents run every experiment on the robots, including chemistry that is hard to do by hand.\n* **You get compounds and data back:** You receive the molecules plus every result, failed reactions included, and everything we run for you belongs to you.\n\n## **👥 Our Team:**\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168).\n\nWhen we launched here last year, we promised a full stack from planning to robotic execution. Since then, our customer base has grown well beyond pharma. Alongside three large pharma companies, including a top-3 global pharma that came back as a repeat customer, we now work with a flavor and fragrance leader, energy companies, biotech companies, and universities around the world. An AI drug discovery platform has also built our synthesis agent into its own pipeline, and this summer we opened the Foundry, which is actively making molecules for clients.\n\nThe team has grown with it. **Adriana Faraone**, our Research Scientist, runs the experiments in the Foundry, and **Victor Sabanza Gil** joins us from his PhD at EPFL, where he worked on [**Bayesian optimization**](https://arxiv.org/abs/2410.00544) for molecules and materials, the kind of AI that decides which experiment to run next. Together, we give anyone with a molecule on a screen extra **brainpower** and an **additional pair of hands**.\n\n## 🙏 Our Ask:\n\nDo you know a biotech or AI-for-science team whose molecules are hard to make, or who needs experimental chemistry data? We would love a warm intro!\n\nIf you've set up a wet lab in the Bay Area, we'd love 20 minutes of your advice, because our own lab here is next.\n\nSend us an email at: [founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)\n\n#### ",
        "url": "https://www.ycombinator.com/launches/VMw-b12-foundry-we-make-the-molecules-ai-designs",
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        "created_at": "2026-10-08T13:52:26.985Z"
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        "title": "b-12 - Chemistry Copilot for Pharma & Biotech",
        "tagline": "Full Stack Chemistry Platform - from planning to robotic execution of experiments",
        "body": "**TL;DR:**\n\nDrug discovery is slow, and it costs billions of dollars. The bottleneck in early discovery is chemical synthesis. b-12 is building a full stack of AI agents to deliver planning and robotic executions of experiments, in minutes, not months. **Our team has developed custom robots for chemistry (Chemspeed), orchestrated AI agents for lab control (EPFL & IBM), and is translating this into a powerful and easy-to-use product.**\n\n**Ask:** Are you running chemistry experiments or chemical robots? Do you know someone who is? Email us at [founders@b12-labs.com](mailto:founders@b12-labs.com) to be added to our pilot program. See below for details.\n\nhttps://www.youtube.com/watch?v=qmf7q-Sie2o\n\n# ❌ **The problem:**\n\n**Drug Discovery is slow:**\n\n* It takes 10+ years and over $2 billion to discover a new drug.\n* 2 in 10000 compounds make it.\n* Chemistry execution is very slow.\n\nExperiments take time! Designing good experiments and trial and error in the lab are big factors.\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/0cd3f202-e48b-48da-a6e5-3ae1572cddab)\n\n**Software for chemists is fragmented:**\n\n* There are many solutions for many different parts of the pipeline.\n* Tools are outdated, and integration is largely missing.\n\n**Lab robots are underused:**\n\n* Most lab robots are _not accessible to scientists_ because they are hard to use.\n* Drag and drop software for multimillion-dollar robotic labs.\n* Lab automation engineers are hard to find.\n\n**Current State:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/2a3d91a0-8e78-44d9-a89c-f1dcc7b45f67)\n\n**b-12:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/893d0cd2-d071-43be-b08e-ddf29b8aaddc)\n\n# ✅ **Our** **Solution:**\n\nWe are integrating a full stack of Agents to **design experiments** and **write code for the robot** that runs these experiments, with the tools and context needed to predict chemically meaningful results, and close the experimental loop.\\\n\\\n**Key capabilities of our Agents:**\n\n* **Streamline Experiment Planning**: Our tools accelerate creation of experimental details based on literature and expert tools, and tailor the output to the user’s specific needs.\n* **Unified platform:** Our platform integrates several agents that are in tight communication and can go from natural language input to robotic execution in minutes.\n* **No coding required - use natural language:** With arbitrary input flexibility, we can control the robot the same way you would talk to your lab-mates, including inputs from previous runs, and uploading relevant documents.\n* **Parallel and scalable to any lab:** We are vendor agnostic, and integrate with different robotics (Chemspeed, Unchained, Opentrons, etc.) and labs performing experiments manually.\n\n**Pilot Program:** Our team will work on integrating Agentic solutions tailored to your lab's specific problems, whether you use lab automation or not. We want to speed up molecular discovery.\n\n# **👥 Our Team:**\n\n![uploaded image](/media/?type=post&id=92473&key=user_uploads/2507050/92133d6c-ba4b-4722-9115-8c45405366aa)\n\nWe are Zlatko and Andres, and in the past, we have:\n\n1. Worked with big pharma (Roche), Chemical Robotics ([**Chemspeed**](https://chemspeed.com/)), and big chemical data ([**MaxPlanck**](https://www.mis.mpg.de/));\n2. Pioneered [**AI agents**](https://www.nature.com/articles/s42256-024-00832-8) for chemistry and [**retrosynthesis**](https://arxiv.org/abs/2503.08537) (at EPFL);\n3. Invented [**new chemistry**](https://onlinelibrary.wiley.com/doi/10.1002/anie.202211168);\n\nNow we want to integrate it into a seamless platform, where anyone who wants to run experiments gets extra **brainpower** and an **additional pair of hands**.\n\n# 🙏 Our Ask:\n\nDo you know anyone in chemistry working in the pharmaceutical or biotech industry?\n\nWe would love a warm intro!\n\nSend us an email at:\n\n[founders@b12-labs.com](mailto:founders@b12-labs.com) or send them to our website: [b12-labs.com](http://b12-labs.com)",
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        "created_at": "2025-07-31T16:18:49.754Z"
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        "title": "Flai — We Bring Customers to Your Auto Dealership",
        "tagline": "We answer the phone 24/7 and manage critical outbound communications, helping auto dealerships turn more leads into booked on-site visits.",
        "body": "**Contact:** [founders@useflai.com](mailto:founders@useflai.com)\n\n**TL;DR**\n\n✅ **24/7 AI assistant** that books test drives & service appointments in seconds\\\n✅ **Smart outbound AI assistant** that handles recalls and appointment reminders\\\n✅ **Plug-and-play integrations** with dealer DMS/CRM; live in stores today\n\nhttps://www.youtube.com/watch?v=xO1TXqmllIQ\n\n❌ **The Problem**\n\nDealerships are trapped in a never-ending cycle that bleeds revenue:\n\n* **60% of dealership leads arrive after business hours** and most dealers can't answer\n* **70% who hit voicemail contact a competitor within 30 minutes**, losing the sale\n* **Each store loses $1M annually** from those missed calls alone\n* **Staffed coverage is costly, inconsistent, and impossible to scale**\n\n✨ **Our Solution**\n\nFlai's Dealership-Tailored AI Assistants gives every dealership a tireless voice agent with three core capabilities:\n\n* **Always-On Coverage:** Our AI agents answer or dial every single customer 24/7, so no inquiry or follow-up slips through the cracks\n* **Multi-Channel Communications:** Calls, SMS, and email work together to book test-drives, service slots, and recall visits the moment customers are ready\n* **Dealer-Ready & Secure:** Fast DMS/CRM integration, full call logs, and SOC 2 Type II compliance, built for automotive retail from day one\n\nDealers switch it on in an afternoon and instantly reach **100% call coverage** with zero wait time.\n\n🛠️ **Why Now?**\n\nThe pain and the cure have finally converged.\n\n* **There's a phone-lead crisis unfolding:** 50% of inbound calls never reach a rep, and dealerships leak $1M+ annually from poor phone coverage\n* **Multiple breakthroughs in voice AI:** Agents have reached human-level fluency this year. The technology is finally ready\n\n👥 **Backstory & Team**\n\nAri waited for 30min on hold while booking a service appointment and the idea clicked: unanswered phones are bleeding dealerships dry. That same weekend we dropped in on ten dealerships, got our initial prospect (which we signed a few days later), and decided then and there to solve it.\n\n**Ari Polakof (CEO)** – Second engineer at Happyrobot (YC S23)\\\n**Alen Polakof (CTO)** – 4 years infra at Uber; knows how to keep systems up at scale\\\n**Juan Alzugaray (COO)** – ex-Netflix data scientist who turns ops pain into product\n\n🙌 **Our Ask**\n\n**Intros to people in the car dealership industry**, we'd love to chat ([founders@useflai.com](mailto:founders@useflai.com))",
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    "long_description": "Building AI agents for autonomous embedded software development.",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "id": 30694,
    "name": "Epicenter",
    "slug": "epicenter",
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    "website": "https://epicenter.so",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Epicenter is an ecosystem of open-source, local-first apps that share a memory. We store all your work—notes, transcripts, chat histories—in a single folder of plain text and SQLite. Every tool we build shares this memory: your text editor, personal assistant, etc.. It's open, tweakable, and yours. Grep it, open it in Obsidian, host it wherever you like. The choice is yours.\r\n\r\nOur vision is to build a personal workspace where you own your data, choose your own AI models, and replace siloed apps with open, interoperable alternatives. All while preserving authenticity and being free and open source. ❤️",
    "one_liner": "ChatGPT's memory feature in an open, portable format",
    "team_size": 1,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1754070642,
    "tags": [
      "SaaS",
      "Productivity",
      "Open Source",
      "Note-taking",
      "AI Assistant"
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    "batch": "Summer 2025",
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    "url": "https://www.ycombinator.com/companies/epicenter",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/epicenter.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "",
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      {
        "user_id": 1027274,
        "full_name": "Braden Wong",
        "title": "Founder",
        "founder_bio": "At 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged ~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\nhttps://github.com/braden-w/\n\nI build tools to help automate the boring parts of my writing. Hopefully, something good comes from it!",
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      {
        "id": 92919,
        "title": "Whispering: Local-First, Open-Source Speech to Text at Your Fingertips",
        "tagline": "Own your data. Use any model you want. Free and open source.❤️",
        "body": "Hey everyone! 👋 It's Braden, and I'm excited to introduce Whispering—a fully open-source, local-first speech-to-text app, and the first app in the Epicenter ecosystem. You can [give it a star](http://go.epicenter.so/github), install it [here](https://go.epicenter.so/install/whispering), and start using it today.\n\nI use Whispering multiple hours daily for voice coding, writing, and thinking out loud. I churned from Wispr Flow and Superwhisper after I built it.\n\nI think the ergonomics are quite delightful, and I hope you will too!\n\n[Voice coding workflow](https://www.youtube.com/watch?v=tpix588SeiQ)\n\n## **The Problem**\n\nYou use a transcription app, but you have no idea what happens to your data.\n\nThey’re not open-source. They might call themselves “local” or say “inference stays on device”—but you still can’t see the code. It’s a black box, and for all you know, _you’re the product_.\n\nYour voice recordings might be sitting on their servers and sold to other providers. You're locked into their ecosystem. When they pivot, get acquired, or shut down, your workflow will break.\n\nMany “AI transcription” startups are just API or local inference wrappers with subscription pricing. You speak into their app, they send your audio to a transcription API like Whisper, then charge you monthly for what you could run yourself. Some run locally, but none I found were open-source with the UX I needed.\n\n## **The Solution**\n\nTruly free and open-source transcription software that matches (or surpasses) the ergonomics of paid, closed-software alternatives. I think Whispering is now at that stage.\n\n## **What makes us different:**\n\nThere are many other applications in the transcription landscape. Whispering offers some notable features:\n\n* **Hands-free, voice-activated dictation**: One of our most ergonomic features so far. Press once to start the session, and it will automatically start and stop as you speak. No button-holding or toggling nonsense. Perfect for dictating when your hands are full\n* **Custom AI transformations with any prompt, any model:** Design custom transformations that chain multiple AI models to fix grammar, translate, or refactor your transcribed text\n* **Unbeatable price:**  Nothing beats free. If you bring an API key from [Groq Cloud](https://console.groq.com/keys), you’ll get nearly instantaneous transcription at $0.04/hour plus a generous free tier. And of course, if you run locally with Speeches, it’s completely free. We hope to expand our models soon.\n* **Open-source**: MIT licensed. Fork it, examine it, roast it. We pride ourselves in our code quality.\n* **Everything is local-first**: In Whispering, everything is local-first. Recordings are stored in IndexedDB, and settings are stored in local storage. Built with Svelte 5 and Tauri, and it's tiny (\\~22MB) and fast.\n\n## **Real Daily Usage**\n\n* **Talking to Claude in my room** (3-4 hrs/day): I use dictation to prompt Claude Code significantly faster than typing. I have a custom post-processing transformation set up so that every text blob that I dictate is passed through a Gemini 2.5 Flash prompt, making the output more Claude-Code-friendly (bullet points, etc.). Once done, I paste into Claude Code.\n* **While carrying pizza boxes back from the Y Combinator office:** My hands are full, so I’ll open the web app on my phone, turn on voice activated dictation, and then start yapping as thoughts come up. The words are waiting when I get back in my room\n* **Other custom transformations**: I have a common writing workflow of speech → Transcribe (Groq) → Fix Grammar (Claude 4 Sonnet) → Format (Gemini 2.5 Flash).\n\n## **Why This Matters**\n\nFundamental tools shouldn’t require trusting a black box. And they shouldn’t charge you rent for something you could run yourself.\n\nWe believe productivity apps should be open-source and transparent with your data, and we want to destroy their business models with open-source alternatives.\n\nThese alternatives will need to match them feature-by-feature, have a great UX, and eventually, be built on top of our shared memory layer.\n\n## **Where This Is Going**\n\nWhispering is the first app in the Epicenter ecosystem: local-first, open-source tools built on top of a shared memory of plain text and SQLite. We hope to replace siloed, data-driven tools with local-first alternatives that share a single, user-owned memory layer.\n\nWe also hope to support many more offline models over time, giving you maximum flexibility in how and where your data is processed.\n\nWe’re not stopping at transcription. While most transcription apps tinker with static dictionaries or custom word lists, our eventual goal with Epicenter is to leverage that shared memory. We could connect transcription to everything you think, write, and build, all within a trustworthy, local-first environment.\n\nWhispering would pick up your common phrases, technical terms, and more. Over time, you create custom transformation pipelines that adapt to your writing style, your voice, and your world.\n\n## **Our Ask**\n\n* 🌟 [**Upvote on Product Hunt**](https://www.producthunt.com/products/whispering?launch=whispering). Help others discover open-source alternatives\n* 💻[ **Download the desktop app**](https://go.epicenter.so/install-whispering) from our [installation guide](https://go.epicenter.so/install/whispering), or directly from our latest [releases](https://github.com/epicenter-so/epicenter/releases)\n* ⭐ [**Star on GitHub**](https://github.com/epicenter-so/epicenter/tree/main/apps/whispering). Back local-first software. Fork it, break it, improve it. Everything’s MIT licensed. Copy whatever you want.\n* 💬 [**Join our Discord**](https://go.epicenter.so/discord). Shape what we build next\n\nTry it, and let us know what’s up. I hope Whispering becomes a part of your workflow!\n\n[Full Setup Guide](https://www.youtube.com/watch?v=1jYgBMrfVZs)",
        "url": "https://www.ycombinator.com/launches/OAh-whispering-local-first-open-source-speech-to-text-at-your-fingertips",
        "votes": 24,
        "created_at": "2025-08-12T00:53:13.916Z"
      },
      {
        "id": 92752,
        "title": "Epicenter: A Database for Your Mind, Built on Plain Text",
        "tagline": "A shared workspace for everything you think, write, and build.",
        "body": "**TL;DR:** if you're a hacker, a generalist, a cracked Svelte/Typescript developer, or a local-first/open-source/privacy enthusiast, join our [Discord and DM me](https://go.epicenter.so/discord). I would love to build with you.\n\nhttps://www.youtube.com/watch?v=nZNOH5yKxO0\n\nHey everyone! 👋 It’s[ Braden](https://www.linkedin.com/in/braden-wong/), and I’m building Epicenter.\n\nEpicenter is an open-source suite of tools built around a single idea:\n\n**Creativity thrives when you blur the lines between disciplines.**\n\nYour tools should reflect that. Most tools divide you—one for writing, one for planning, one for research. We’re building tools that talk to each other—so you can stay in flow across every kind of work. \n\nEpicenter will be a growing software ecosystem—a text editor, a CRM, a personal assistant, and more—all built around a shared local memory.\n\n**The problem**\n\nModern knowledge work is fragmented.\n\nI journal into an app I don’t trust. I plan my week in a calendar app I’ll abandon next month. My notes drift aimlessly in systems I’ve outgrown. And every time I switch apps, the app forgets what I was working on.\n\nNotes, code, and ideas live in isolated tools that don’t talk to each other, breaking flow and burying context.\n\n**The solution**\n\nA suite of open-source tools that share a single memory: a folder on your machine. Open-source, open-format, and fully yours.\n\nThe tools share so you can make connections across disciplines. Your ideas and data are never locked in.\n\n[**epicenter.sh**](http://epicenter.sh)\n\nI just launched [epicenter.sh](http://epicenter.sh): a local-first assistant you can chat with. It lives in a folder, and we want to make it the access point to everything you’ve ever written, thought, or built.\n\n[epicenter.sh](http://epicenter.sh) is the first addition to Epicenter. This is your new shell: your second brain becomes your dialogue partner. You type; it thinks. You ask; it searches. Under the hood, it’s powered by a modified version of [Opencode](https://github.com/sst/opencode), an excellent open-source coding agent. We’ve made our own CLI and UI to simplify configuration and the user experience. It’s rough around the edges, but it’s our first step in laying the foundation for our future applications.\n\n**Where We’re Headed**\n\nIn a world where every app wants to trap you and your data, we’re building the opposite.\n\nEpicenter is open-source, local-first, and plain-text native—so you can trust it, tweak it, or take it with you. We’re building tools that support intentional, interdisciplinary thinking: software for people who read, write, build, and connect.\n\nA renaissance workflow, built on plain text and real ownership.\n\n**Our Ask**\n\nWe’re early. But if you think like a generalist, build like a hacker, and value tools that respect your mind—we’d love to hear from you.\n\n**→ if you’re a cracked Svelte/Typescript developer, please[ DM me](https://go.epicenter.so/discord)**\n\n**→ star / fork / dive into the code on GitHub: [https://github.com/epicenter-md/epicenter/](https://github.com/epicenter-md/epicenter/)**\n\n**→ join the community on [Discord](https://go.epicenter.so/discord). share what you’re excited to build**\n\nSign up and tell us which tools you’d be most excited to use. Your input will shape what we build next.\n\n**About me:**\n\nAt 18, I taught myself to code while studying ethics, politics, and economics at Yale. Since then, I’ve averaged \\~10k commits/year and worked at three YC startups. I wrote my 65-page senior thesis on open-source governance and digital platforms. I care deeply about data ownership, open-source, and interdisciplinary thinking.\n\n![uploaded image](/media/?type=post&id=92752&key=user_uploads/1027274/a3ef7b07-ca73-4d27-bf0a-53e194f9f587)\n\n",
        "url": "https://www.ycombinator.com/launches/O80-epicenter-a-database-for-your-mind-built-on-plain-text",
        "votes": 33,
        "created_at": "2025-08-05T21:49:16.393Z"
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    "id": 30695,
    "name": "Channel3",
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    "website": "https://trychannel3.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Channel3 is building a database of every product on the internet.\r\n\r\nGoogle and OpenAI maintain vast product graphs, but keep that valuable data to themselves. Channel3 gives every developer access, opening a world of possibility for new shopping experiences across any vertical. For instance, developers could build AI fashion stylists or give their agents shopping capabilities.\r\n\r\nWe don’t just collect product data; we actually understand it. With the latest image classification and reasoning models, we can match products across merchants—even when listings and images differ—recognize variants, and surface the perfect matches for every search. As we grow, we’ll capture unique insights into what users want, click, and buy.\r\n\r\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure. To further incentivize building on Channel3, we provide built-in monetization; developers earn commissions on sales they drive.\r\n\r\nAlex discovered this need while building an AI tutor that could recommend products and earn affiliate revenue. When no solution existed, he persuaded his smartest friend from Duke and former co-founder George to leave Palantir and build Channel3 together.",
    "one_liner": "Database of every product on the internet",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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        "full_name": "Alexander Schiff",
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        "founder_bio": "Co-Founder and CEO, Channel3 (S25).\n\nI started coding at 9 and launched my first company at 12. Studied Computer Science and Psychology at Duke, where George (Channel3 CTO) and I worked together for years and even founded a startup together. Worked as a PM at Microsoft, then reneged my return offer to lead AI projects at Studio.com, where I discovered this pain point and set out to solve it.\n\nFun fact: My twin brother and I auditioned for MasterChef Junior.",
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        "full_name": "George Lawrence",
        "title": "Founder",
        "founder_bio": "Co-Founder and CTO, Channel3 (S25).\n\nBefore Channel3, I worked as a software engineer at Palantir for a couple of years. There, I tackled hard security and data problems, and I built some cool stuff.\n\nI graduated from Duke with a B.S. in CS. During my senior year, I started my first company with Alex (Channel3 CEO).\n\nFun fact: I'm also a published astronomer (twice!)",
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        "title": "Backend Engineer",
        "url": "https://www.ycombinator.com/companies/channel3/jobs/3DIAYYY-backend-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "title": "Channel3 raises $6M to build a database of every product on the internet - Channel3 Blog",
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      {
        "id": 92118,
        "title": "Channel3: A database of every product on the internet",
        "tagline": "Channel3 lets developers add commerce to their websites, apps, and AI agents — and earn commission.",
        "body": "Hi! We’re [George](https://www.linkedin.com/in/george-lawrence-aab0011a6/) and [Alex](https://www.linkedin.com/in/alexanderschiff/), and we’re building [Channel3](https://trychannel3.com): **a database of every product on the internet.**\n\nLaunch Video: https://www.youtube.com/watch?v=gut-0iopIDg&feature=youtu.be\n\n**What?**\n\nEvery time you shop on Google, Amazon, or ChatGPT, you’re querying a product database. These companies have built massive product catalogs — with pricing, availability, images, and specs — but they keep this data private. That means only the giants can build shopping experiences. Channel3 is changing that. We’re building a universal product catalog and giving every developer access.\n\n**Got it. What can I use a product database for?**\n\nAny website, app, or AI agent can boost revenue by adding commerce – without holding inventory or processing payments. You could, for example, build a kitchen co-pilot that suggests the best tools for every cook, or a fitness app that intelligently recommends equipment needed for the next class.\n\n**How do I make money with Channel3?**\n\nMonetization is built in. With Channel3, developers earn commission on every sale they drive — no chasing affiliate deals, no ads that break trust, and no subscription fees users won't pay.\n\n**Why now?**\n\nMultimodal models have only just become accurate and cheap enough to recognize products visually and semantically, letting us match duplicates across merchants, structure heaps of messy data, and link variants like color or size.\n\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure.\n\n**Why we’re building this**\n\nAlex discovered this problem firsthand while building an AI teacher that could recommend appropriate products for its students. He discovered that giving AI agents shopping capabilities is both a real pain-point and a growing opportunity, so he persuaded George, his smartest friend from Duke and former co-founder, to leave Palantir and build the solution together.\n\n**I’m in! What now?**\n\nWe’re looking for developers who want to build the next generation of shopping on top of Channel3 (and get paid to do it!).\n\nSign up today at [trychannel3.com](http://trychannel3.com), or reach out at [founders@trychannel3.com](mailto:founders@trychannel3.com).\n\n![uploaded image](/media/?type=post&id=92118&key=user_uploads/873183/480c3aca-d06a-460a-a990-50408ddee2b2)\n\n",
        "url": "https://www.ycombinator.com/launches/Nxm-channel3-a-database-of-every-product-on-the-internet",
        "votes": 63,
        "created_at": "2025-07-14T16:08:19.203Z"
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    "id": 30696,
    "name": "GhostEye",
    "slug": "ghosteye",
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    "website": "https://ghosteye.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "We emulate the attacks real adversaries run today: help-desk vishing, deepfaked executives, MFA fatigue, and the payloads that follow. We run them against your people and the controls around them to reveal what is actually exploitable, not what looks compliant. Then we close the gap, retest until the fix holds, and give your leadership the evidence that risk actually went down. From initial access to remediation.",
    "one_liner": "Your always-on red team.",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Security",
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    "url": "https://www.ycombinator.com/companies/ghosteye",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ghosteye.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ghosteye-ai/",
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    "github_url": "https://github.com/ghosteye-ai",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
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      {
        "user_id": 2000500,
        "full_name": "Mohammad Eshan",
        "title": "Founder/CEO",
        "founder_bio": "CEO of GhostEye. Former BlackRock Red Team Lead & Offensive Cyber Operations at MITRE",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/moheshan/",
        "x_url": "https://x.com/eshannnnnnnn",
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  },
  {
    "id": 30697,
    "name": "Normal",
    "slug": "normal",
    "former_names": [],
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        "tagline": "Automated hardware testing & compliance, saving 50x the time",
        "body": "LLMs have made building hardware easier, proving it's safe to sell is still hard. We automate hardware certification: from drones to robots. Cutting compliance hours for teams 50x.\n\n[normalfactory.com](https://www.normalfactory.com/?utm_source=yc)\n\nhttps://youtu.be/51bFkdSyNvA\n\n**The Problem:**\n\n* **Certification are critical, non-core work** - Teams (often the Chief Engineers) spend days parsing standards\n* **It’s not clear what you actually need** - Compliance can be opaque, often requiring expensive consultants to decipher\n* **Labs take long to book** - Third party labs can be unresponsive without insider connections\n* **You can’t sell without them** - Not having the right certifications is gating \n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/aec806d9-2cec-478e-ba2b-439ce1457d93)\n\n**What We’re Building:**\n\n* **Certification roadmap to sell:** Clear, market‑specific path (what to test, in what order, and why)\n* **Automated lab bookings & logistics:** We handle scheduling, sample coordination, and paperwork end‑to‑end\n* **Live test tracking:** Visibility into progress, blockers, and results\n* **Technical file generation:** Auto‑assembled technical files and audit packs ready for submission\n\n![uploaded image](/media/?type=post&id=93193&key=user_uploads/924433/3465b07b-7851-4f77-a0d8-52a840973ea9)\n\n**Who We Are**\n\nEngineers of both software and hardware! We’re Waterloo grads, previously working at AI labs, published in Nature for pulsed power research, and going extremely viral on the internet.\n\n**OUR ASK: Do you know of any hardware teams looking to spend less time on compliance? Please connect us!**\n\nWe’ve helped teams go from 0 to fully certified in weeks. We are now serving hardware teams for FCC / CE / UL / ASTM at [normalfactory.com](https://normalfactory.com?utm_source=yc) or [founders@normalfactory.com](https://mailto:founders@normalfactory.com)!",
        "url": "https://www.ycombinator.com/launches/OF7-normal-vanta-for-hardware",
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        "full_name": "Jiehua Wu",
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        "id": 92472,
        "title": "Comena — AI agents that automate order processing for distributors and manufacturers",
        "tagline": "Automated order entry - from inbox to ERP",
        "body": "👋 Hello!\n\nWe’re Jiehua and Almo, co-founders of **Comena**. We've been building things together since middle school and this time, we’re automating one of the most painful processes in B2B supply chains.\n\n---\n\n### 🧠 TL;DR\n\n\\*\\*Comena automates order entry from inbox to ERP for distributors and manufacturers.\\*\\*\\\nNo more manual data entry. No more wasted time. Our AI reads purchase orders from emails or PDFs, extracts key info, matches products to SKUs, and sends the order to your ERP — with (or even without) human-in-the-loop review.\\\n**Sales teams save 75-99% of time spent on order processing.**\n\n---\n\n### 😩 The Problem\n\nIn industrial supply chains (fasteners, parts, MRO, etc.), every order and inquiry is still typed manually into an ERP.\n\nHere’s how it looks today:\n\n1. A distributor or manufacturer receives a PO via email\n2. A sales rep opens a PDF attachment\n3. They manually type the content of the e-mail/PDF into the ERP\n4. Then it goes to fulfillment\n\nThis process is repeated **every single day** and eats up to **50% of inside sales teams’ time** — time that could be spent on proactive selling and customer relationships.\n\n---\n\n### ⚙️ Our Solution\n\nhttps://youtu.be/yoii7pgK1GY\n\nWe built an AI-powered order processing agent that automates this end-to-end:\n\n✅ Forward any PO or RFQ to Comena\\\n✅ Our AI extracts header data, product descriptions, quantities, pricing, etc.\\\n✅ Matches the items to your product number (even from messy free-text)\\\n✅ Sales rep quickly reviews the output\\\n✅ Sends it to the ERP with 1 click\n\nWe support PDFs, Excel sheets, RFQs, email bodies — and integrate seamlessly with ERPs. If your ERP supports EDI, even better: Comena plugs right in.\n\n---\n\n---\n\n### 👬 About Us\n\nWe’ve been friends for over 10 years — building robots together and winning awards at robotics world championships when we were younger.\n\n* **Jiehua (CEO)** was the youngest software engineer at Google Switzerland, a PM at Pina Earth (YC W22), and first hire at procurement startup askLio (YC S23).\n* **Almo (CTO)** was the first hire at Leaping AI (YC W25), and worked at Amazon AWS, HubSpot, and Microsoft, integrating OpenAI into Azure.\n\n---\n\n### 🙏 Our Ask\n\nIf you know anyone who fits the below, we’d **love an intro**:\\\n• Distributors or manufacturers processing lots of POs\\\n• Companies in industrial, MRO, or parts supply\\\n• Sales or ops leaders frustrated by manual order workflows\n\nOr just reach out if you’re curious — we’d love to show you the product.\n\n📧 [jiehua.wu@comena.ai](mailto:jiehua@comena.ai)\\\n💻 [https://www.comena.ai](https://comena.ai)\n\nLet’s automate manual order entry together!\\\n– Jiehua & Almo\n\n![uploaded image](/media/?type=post&id=92472&key=user_uploads/1188611/8acc3123-8a3a-4461-aec2-6a0acffeebf4)\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,
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        "full_name": "Elia Saquand",
        "title": "Founder",
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        "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",
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        "url": "https://www.businessinsider.com/y-combinator-yc-demo-day-summer-vibe-coding-ai-startups-2025-9",
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      {
        "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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        "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"
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    "id": 30700,
    "name": "Nozomio",
    "slug": "nozomio",
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    "website": "https://www.nozomio.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We are a product lab solving context in AI.",
    "one_liner": "product lab. focused on personal ai and context.",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1751302971,
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        "full_name": "Arlan Rakhmetzhanov",
        "title": "Founder/CEO",
        "founder_bio": "1) kicked out from high school for rizzing too many girls\n2) played a lot of video games (10,000 hours in valorant)\n3) scaled my first startup to 20k users at 15 for fun \n4) research @ stanford\n5) raised $1m from my principal's office",
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        "id": 95583,
        "title": "Founding Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/nozomio/jobs/EaWLjdN-founding-member-of-technical-staff",
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        "id": 92166,
        "title": "Nia: 10x the context of your coding agent",
        "tagline": "Improved Cursor's performance by 27%",
        "body": "### **TL;DR**\n\nStop hand‑feeding links and developer context to your agent. [**Nia**](https://www.trynia.ai/) is an MCP server that can index entire codebases & documentation sites, perform deep research, and more so agents like Cursor, Continue, and Cline “just know” the right answer.\n\n_In internal evals we improved Cursor’s performance by **27 %** once [**Nia**](https://www.trynia.ai/) had indexed external docs models couldn’t get from their training data or searching the web._\n\nhttps://youtu.be/WSqM5FmqFQM\n\n### **The Problem**\n\n* Coding agents are great with local files but fail when it comes to external context enrichment.\n* Agents are finally great at codegen, **terrible at retrieving the right context**.\n* You still copy‑paste GitHub and web links one‑by‑one and pray the model scrolls far enough.\n\nContext—not generation—is now the bottleneck.\n\n### **What Nia does**\n\n* **Indexes multiple repos & entire docs sites at once** via an MCP server.\n* Works as MCP server and can be used inside Cursor, Cline, Continue etc.\n* **Deep‑Research Agent**: ask “Compare LangChain, Llama Index, Haystack,” get an auto‑generated table (pros, cons, best pick) _and_ have all three repos pre‑indexed for later use.\n\n### **Get Started in &lt;3 minutes**\n\n1. Grab your API key at [**https://app.trynia.ai/**](https://app.trynia.ai/)\n2. Follow instructions at [**https://docs.trynia.ai/integrations/nia-mcp**](https://docs.trynia.ai/integrations/nia-mcp)\n3. Enjoy.\n\nhttps://youtu.be/5019k3Bi8Wo?si=ERmnmo01IJ3DQfrv\n\n### **My ask**\n\n1. Try Nia today and tell us what context your agent still misses.\n2. BOOK A **FREE** CALL → [**https://calendly.com/arlanrakh/nia-ai-demo**](https://calendly.com/arlanrakh/nia-ai-demo)\n\n👉 Contact me at [arlan@nozomio.com](mailto:arlan@nozomio.com)\n\n![uploaded image](/media/?type=post&id=92166&key=user_uploads/1894718/af79e074-2831-40ec-a7a6-e7f27f0be8f1)\n\n### **My story**\n\n* I’m **Arlan**, solo‑founder immigrant from Kazakhstan.\n* Launched my first edtech startup at 15.\n* I got kicked out of my math classes for taking investor calls, so I dropped out of high school to move to London where I raised my pre-seed in couple days.\n* I cold-emailed my way into research @ Stanford when I was 16, and worked closely with a Georgia Tech professor on a book called Cobra, a powerful interactive tool for finding defects or suspicious patterns in source code.\n\n![uploaded image](/media/?type=post&id=92166&key=user_uploads/1894718/d5b86613-0561-43b4-8c2d-2bec5ee03639)\n\n",
        "url": "https://www.ycombinator.com/launches/NyY-nia-10x-the-context-of-your-coding-agent",
        "votes": 221,
        "created_at": "2025-07-15T14:13:02.959Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Plaintiff-side law firms compete in some of the most expensive search ad markets to acquire high-intent leads, but the path from click, call, or form fill to signed retainer is still fragmented. Disconnected intake workflows, slow response times, and disconnected spend-to-case data makes it hard to know what is actually working.\r\n\r\nMimos automates their growth and intake playbook:\r\n1. Generate Qualified Leads: Our agents manage Google Ads, Local Services Ads, Google Business Profile, and other high-intent acquisition channels.\r\n2. Convert Faster: Every lead flows into a CRM built for intake, triage, follow-up, and handoff from inquiry to signed retainer.\r\n3. Close the Loop: We connect spend, lead source, intake actions, and signed-case outcomes so firms know what to scale, pause, or fix.\r\n\r\nThe result: more qualified leads, less wasted spend, and more signed cases.",
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        "full_name": "Rohit Sirosh",
        "title": "Founder/CEO",
        "founder_bio": "Rohit is the Co-Founder and CEO of Mimos. \n\nAt Microsoft, he led the architecture of Azure's high-throughput storage infrastructure, working with OpenAI to support their training workloads for GPT-series and Sora models. In high school, he was a competitive Junior Golf Captain (3x League Champion, 7x Top-10 in State).\n\nAt Mimos, he is connecting acquisition, intake, follow-up, and attribution so plaintiff-side firms convert leads into signed cases in a fraction of the time.",
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        "linkedin_url": "https://www.linkedin.com/in/rohit-sirosh/",
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      {
        "id": 93031,
        "title": "Mimos - Answer Engine Optimization for regulated companies",
        "tagline": "With compliance at our core, we help you rank in AI search",
        "body": "Hey everyone! We’re Rohit and Michael, co-founders of Mimos. We’ve been building together since sixth grade—everything from mobile apps to algorithmic trading systems—and now we’re turning compliance into an advantage in the age of AI.\n\nhttps://youtu.be/McIKklZ0xHI\n\n**The Problem:**\n\nAI answer engines (ChatGPT, Perplexity, Gemini) are replacing Google for high-value questions on health, wealth, and legal. Whoever they cite becomes the voice customers trust.\n\nRegulated firms should dominate this shift — they already have **compliance** as verifiable proof of authority. But that advantage is trapped behind a unique structural dynamic:\n\n* **Marketing** needs to move quickly to publish relevant, expert answers.\n* **Compliance** must carefully review every word to ensure regulatory safety.\n\nThis friction results in a drawn out publishing cycle, resulting in missed opportunity to rank in AI search.\n\n**Our Solution:**\n\nMimos makes it easy for regulated firms to get cited in AI answers by streamlining the path from insight to compliant content.\n\n* **Define your audience** — Capture your brand expertise and ICPs to guide tone, examples, and disclosures.\n* **Find the right questions** — Track the exact high-intent prompts your prospects ask AI using trend and citation data.\n* **See where you stand** — Monitor visibility by engine, track competitor citations, and measure share of voice.\n* **Act on opportunities** — Get prioritized recommendations for content, SEO, and distribution.\n* **Create faster** — Generate first drafts aligned to your brand and compliance needs.\n* **Speed up review** — Package answers with disclosures and claim checks so compliance can approve faster.\n\n**Result:** Insight → content → review → AI visibility — in minutes, not weeks. \n\n**Our Traction:**\n\n* Signed **5 paying customers** across finance, proptech, and wealth management within one month of launch.\n* Building an **active pipeline** in health, investing, proptech, and marketing.\n* Early usage already delivering **2× higher AI citation rates** compared to baseline content.\n\n**Our Team:**\n\n* **Michael (Co-Founder & CTO)** — Led the launch and integration of AI into Amazon Alexa devices, architected petabyte-scale data infrastructure at Coinbase, and built consumer websites/mobile apps reaching thousands of users. Brings deep expertise in AI, large-scale infrastructure, and online trust.\n* **Rohit (Co-Founder & CEO)** — Designed Azure’s high-throughput storage and auto-scaling infrastructure, working with OpenAI to support their training workloads. Brings experience in building and scaling complex cloud systems for high-demand, mission-critical applications.\n\nTogether, our backgrounds in high-performance infrastructure and AI underpin Mimos’s mission: helping regulated firms attract clients by enhancing their online visibility in the age of AI.\n\n**Our Ask:**\n\nWarm intros to Chief Marketing/Growth Officers or fractional CMOs at:\n\n* **Finance** (esp. wealth managers managing $300M+ AUM)\n* **Pharma / Biotech**\n* **Legal**\n* **Telehealth**\n\nAn email to [rohit@mimos-ai.com](mailto:rohit@mimos-ai.com) would be greatly appreciated!",
        "url": "https://www.ycombinator.com/launches/OCV-mimos-answer-engine-optimization-for-regulated-companies",
        "votes": 21,
        "created_at": "2025-08-15T18:06:54.517Z"
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    "long_description": "AI is making biology easy to engineer. Life-saving drugs and therapies are accelerating, but so is the ability for bad actors to create a pandemic. TwentyTwo is working on the defensive stack to prevent the next pandemic.",
    "one_liner": "AI infrastructure for biosecurity",
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    "subindustry": "Healthcare -> Industrial Bio",
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      "name": "Tyler Bosmeny",
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    "founders": [
      {
        "user_id": 1970485,
        "full_name": "Evan Seeyave",
        "title": "Founder/CEO",
        "founder_bio": "kurzgesagt and mango enjoyer",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evanseeyave",
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      {
        "id": 92831,
        "title": "Mohi: Debugging assistant for AI agents",
        "tagline": "Don’t know why your agent messed up? Neither do we. But Mohi will show you exactly where your agents went wrong - and why.",
        "body": "Hey folks! 👋\n\nWe’re building Mohi, a debugging assistant for AI agents. If you've ever spent hours scrolling through 500+ LLM calls asking “what the hell happened?” — this is for you.\n\nhttps://youtu.be/UzQZlUdZ59s\n\n### The Problem\n\nAgents are complicated — tools, memory, web search, nested loops, and hallucinations. And when something breaks, it’s like untangling spaghetti. You’re stuck scrolling through flat logs, guessing which of the _35_ steps silently failed.\n\nIt's slow, brittle, and makes you second-guess your whole stack.\n\n### **The Fix**\n\nMohi makes debugging agents **_fast_**, and **_actually usable_**.\n\nJust tag key steps in your agent with our lightweight SDK (think: tool calls, memory access, context switches, decision logics), and we build a clean visual graph of what happened under the hood. Then we go a step further and show you:\n\n* where your agent last succeeded\n* where it went off the rails (hallucinated, failed tool, wrong branch)\n* and how to re-run broken steps with new inputs\n\nIt’s not just observability. It's a diagnosis.\n\n### **Who We Are**\n\nPreviously, Hao worked on AI and distributed systems observability at AWS, and Evan worked on automated testing at Google and AI evaluations at SecureBio. We met at MIT and worked on a bunch of projects together, eventually building agents ourselves and seeing firsthand how painful debugging can be — so we built Mohi to fix it.\n\n![uploaded image](/media/?type=post&id=92831&key=user_uploads/1675765/aa1f6344-8ce0-4ad5-a5ba-0e203412791a)\n\n### **Our Ask**\n\nIf you’re building complex agents — we’d love to chat!\n\n→[ https://trymohi.com/](https://trymohi.com/)\n\n→ [founders@trymohi.com](mailto:founders@trymohi.com)",
        "url": "https://www.ycombinator.com/launches/O9H-mohi-debugging-assistant-for-ai-agents",
        "votes": 4,
        "created_at": "2026-02-07T00:21:30.007Z"
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    "id": 30703,
    "name": "Physical Turing",
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    "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,
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      "United States of America",
      "America / Canada"
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        "body": "### **TLDR:**\n\nHey everyone! We’re [**John**](https://www.linkedin.com/in/john-huddleston-3584121b7/) (engineer and unmanned systems expert) and [**Dante**](https://www.linkedin.com/in/dante-vaisbort/) (repeat defense founder). [**Albacore Inc.**](https://www.albacore.inc/) is building the next generation of unmanned underwater vehicles (UUVs) to prevent maritime invasions. Our first product is **Ghostfin:** a 6-foot-long autonomous underwater vehicle that can patrol over 1,000 nautical miles undetected and massively damage hostile watercraft.\n\n[**https://www.youtube.com/watch?v=UQ6SYgIsDQs**](https://www.youtube.com/watch?v=UQ6SYgIsDQs)\n\n### [**🏴‍☠️**](https://emojipedia.org/pirate-flag) The Problem: America doesn’t have any long-range underwater strike weapons.\n\nIn the case of an Indo-Pacific conflict, our military’s existing suite of autonomous underwater vehicles is woefully unprepared. Today’s unmanned underwater vehicles are short-range, expensive, and overly mission-specific. Unlike the Ukrainians or even the Houthis, America doesn’t have underwater vehicles built for attack missions in service.\n\n### **🚀 Our Solution: Low-cost autonomous underwater vehicles that can travel 10x further.**\n\nRange is the key constraint in massive bodies of water like the Pacific Ocean. The Albacore team has spent years working on power technology and manufacturing for unmanned systems, and can build Ghostfin far more efficiently than anything on the market today by using a combination of highly scalable in-house-designed and off-the-shelf components.\n\n![uploaded image](/media/?type=post&id=92587&key=user_uploads/2629924/1f9c199a-487c-4de0-848e-94ae31db9ba6)\n\n### 👥 **Our Team:**\n\n**John Huddleston, Co-Founder:** John is a mechanical engineer who spent 3 years at the Boston Consulting Group advising government agencies and Fortune 500 companies in the defense industrial base. He worked on &gt;$9b in unmanned systems manufacturing and procurement efforts alongside senior military leadership.\n\n**Dante Vaisbort, Co-Founder:** Dante is a second-time founder in defense, who has won and led more than &gt;$10m in DoD contract efforts for his first company, Haylon Technologies, which builds power technology for autonomous systems and is still active.\n\nWe also have an incredible engineering team hailing from Lockheed Martin, Johnson & Johnson etc. who have won underwater vehicle competitions and have a combined 20 years experience on space flight technology, autonomous vehicle AI, medical robotics, and robosubs.\n\n![uploaded image](/media/?type=post&id=92587&key=user_uploads/2629924/550044dc-1333-486f-8877-384a1270c501)\n\n### **😇 Our Ask:**\n\nPlease reach out to us if you can help us deliver solutions to the Navy, Special Operations Forces, intelligence community, or allied foreign militaries. If you know any commercial entities who may want this, that’s great too!\n\nStay tuned for us to blow stuff up in the next one. In the meantime, drop us a line at [**founders@albacore.inc**](mailto:founders@albacore.inc)",
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        "title": "Solva: Harvey for insurance",
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        "body": "**TLDR:** We are building Harvey for insurance. We help insurers automate claims and stop wrongful payouts using verifiable AI agents.\n\nOur team has spent the last decade battling legacy systems and dogma across highly regulated sectors of the financial industry. We’ve founded an EU-licensed bank (under the EBA CRD) and been part of scaling Europe’s fastest-growing InsurTech. We’ve seen firsthand the challenges with manual claims handling and how AI can fundamentally transform this process\n\n[**https://youtu.be/wfX4D08cNk4**](https://youtu.be/wfX4D08cNk4)\n\n---\n\n**The problem**\n\nYearly insurance claim payouts total more than $6.5 trillion (6% of worldwide GDP). The way insurance is sold has evolved considerably, but the handling of claims has remained largely unchanged since the early days of the internet. Due to the inconsistent nature of manual processing, handling errors alone are estimated to cause more than $200B in wrongful payouts per year. Add another $75B to that number for administrative operating expenses, and a rough idea of the true cost emerges.\n\nThe industry’s fix to this problem? Windows 2000-era admin UIs glued onto IBM mainframe systems, fragile RPA-automations that break every Feb 29th, and an army of adjusters. The result is a mess of growing complexity - and customers pay the price.\n\n---\n\n**The solution**\n\nSolva automates repetitive tasks and prevents wrongful payouts using verifiable, self-learning AI agents - built to run seamlessly on top of any existing claims stack.\n\nSolva’s system:\n\n* Detects incomplete evidence\n* Identifies breaches of policy terms\n* Exposes fraudulent behavior\n* Delivers source-cited claim recommendations\n\nWe bring claims handling from punchcards to Claude Code - helping insurers to stop spending billions on repetitive tasks and wrongful payouts.\n\n---\n\n**The team**\n\n![uploaded image](/media/?type=post&id=92740&key=user_uploads/2404520/068071e0-ad95-4555-bc06-332e3c2e2fbd)\n\n* **Herman Båverud Olsson** \\\n  Herman is the CEO and Co-founder of Solva. He was previously part of scaling Lassie to $50m, which was recognized by Sifted in 2024 as Europe’s fastest-growing InsurTech. Before that, he led AI and machine learning transformations at BCG X. He also has experience in FinTech and InsurTech from his time at Morgan Stanley\n* **Linus Malmen** \\\n  Linus is the CTO and Co-founder of Solva. Before Solva, he co-founded Zaver (most recently starred in CNBC), a European neobank processing over €1 billion annually under an EBA-CRD license. Clients include Porsche, Volkswagen, and Loewe. He has led AI development for leading tech companies long before AI became the norm and his work has been featured in TechCrunch, Bloomberg, and Forbes\n* **Sorena Amini** \\\n  Sorena is the COO and Co-founder of Solva. He previously built tech-enabled companies in traditional industries, including KeyTo (from $60 to $250M) during his time at Fidelio. He has longstanding experience in highly regulated financial industries, including advising insurance and InsurTech companies during his time at Citi",
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        "full_name": "Jason Cornelius",
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        "title": "Perseus Defense 🚀 Building America's Iron Dome for Drones",
        "tagline": "Meet Perseus, the team building affordable micro-missiles to combat drone swarms ",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand) Happy 4th of July!\n\nWe’re [Jason](https://www.linkedin.com/in/jason-k-cornelius/) from NASA and [Steve](https://www.linkedin.com/in/steve-messinger-a32680155/) from Boeing – and now, we’re co-founders of [Perseus Defense](https://www.ycombinator.com/companies/perseus-defense).\n\n# **TL;DR — We're building guided micro-missiles that shoot down drones in combat**\n\n**_Ask_:** Do you know end-users across the Department of Defense (DoD) and Department of Homeland Security (DHS) that could benefit from attritable anti-drone solutions?\n\nhttps://youtu.be/o17lMdLuZWQ\n\n# **❌ The Problem**\n\nToday’s Counter-Unmanned Aerial System (**CUAS**) solutions are too expensive, too heavy, too slow, and too ineffective.\n\n1. **70-80%** of battlefield fatalities come from drone strikes\n2. **$100,000+** kinetic solutions are used to counteract **$500** drones\n   * **$500** drones are eliminating **$100M** assets\n3. Current solutions are easily defeated with fiber-optic, visual inertial odometry, or simple waypoint navigation missions\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/5caa36d2-7e58-4001-b716-33dadb3e92b5)\n\n_$500 Ukrainian drones decimate $100M Russian strategic bombers_\n\n# 🚀 \\*\\* Our Solution \\*\\*\n\nPerseus is creating the first affordable guided micro-missile pods to bolster American defense capabilities both at home and abroad.\n\nOur micro-guided missiles detect, identify, and eliminate incoming threats before they can reach their intended target. They cost less than $10k, which is 2 orders of magnitude less than the current best solutions.\n\nSteve and I felt we could create a better solution to the CUAS problem and decided we had a moral obligation to follow through on that belief. We quit our old jobs and put it all on the line to fast-track this capability for the U.S. and our allies.\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUdop9WhSeh84TqDYnuwb3vz1KrIWMQDG2MWaFBwptJ3V92-8mbVSKxJzAVgy3W8RXJF8ovt3OHW-hN49IX6q1nBBLmdsuYzaAOJuATMlBJC1U1FTg9GwtyELc63ytxpmLWJ8Wfqag=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n_Perseus Defense Mark-II Guided Missile Test (Prototyped in 1 week)_\n\n![](https://lh7-rt.googleusercontent.com/slidesz/AGV_vUcAN59Yl56m_fFTA4T6Hy9mIwgWRyVILftyiV0zK5LBlNr0z9CtXbGM2Ds7u3F62fX8nX0j0HwFe0P8aahK_00gXESeyeQn8-8JmAdE5u9epJxbPEjHeEY7Gr7vq0ZwTOVYh89E5A=s2048?key=GGmIlUfxi3cwLoUUF9rHqQ)\n\n# **The Team**\n\nJason and Steve studied aerospace engineering together at Penn State University and founded Perseus Defense in 2025.\n\n**Jason (CEO)** designed NASA’s Titan Dragonfly space helicopter, led a NASA advanced projects team to design a next-generation Mars helicopter, and has contributed to multiple aerospace programs across NASA, the DoD, and commercial sectors. He holds a PhD in aerospace engineering with specializations in aircraft design, supercomputing, and machine learning. Jason also taught Aerodynamics at Stanford, speaks four languages, and founded an international drone competition.\n\n**Steve (CTO)** has worked as a swarm robotics researcher focused on building and deploying real-world autonomy. He won swarm robotics competitions with the Office of Naval Research, built autonomy that allows commercial aircraft to land themselves at Boeing, and developed collaborative behaviors for Unmanned Surface Vehicles at Applied Intuition.\n\n![uploaded image](/media/?type=post&id=91870&key=user_uploads/1658535/2c3d3f2c-7cd2-4a48-a4f2-f19631938c29)\n\n_Prepping a UAS-mounted Missile (Prototyped in 1.5 weeks)_\n\n# **🙏 Our Ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Have you been wondering how $500,000 CUAS solutions are supposed to combat $1,000 drones at scale?\n* Can you introduce us to end-users across the DoD or DHS that are looking for better solutions to protect our troops, our country, and our allies?\n\n👉 Contact us at [founders@perseusdefense.com](mailto:founders@perseusdefense.com)\n\nYour help can make a huge difference as we work to protect the folks we care about abroad and here at home. **Thank you!**",
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        "url": "https://www.ycombinator.com/companies/novaflow/jobs/VbarVsf-founding-backend-engineer",
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        "id": 92462,
        "title": "Novaflow – The AI data analyst for biology labs",
        "tagline": "Accelerating scientific progress",
        "body": "We’re Aman and Amulya, and we’re building Novaflow. \n\n**TL;DR —** Bioinformatics data analysis is a time-consuming and expensive process for scientists. With Novaflow, life scientists can upload experimental data, ask questions in plain English, and get instant, publication-ready plots, giving them results in minutes instead of months. \n\n[Intro Video](https://youtu.be/uwi8N9rjCUI)\n\n### **Our Story**\n\nAman was a computational biologist and saw firsthand how his colleagues struggled to analyze their experimental results quickly due to a growing backlog of data in the lab. Despite spending over $100,000 a year on data analysis, it still wasn’t enough. He realized that using LLMs, this process can be automated away and save researchers time and money. He teamed up with his friend Amulya who was a software engineer at Zoom to bring this product to life. \n\n![uploaded image](/media/?type=post&id=92462&key=user_uploads/244146/e5819898-8cdb-480f-9c21-31590b2c7232)\n\n\n### **The problem**\n\nLife science labs generate huge datasets, but analysis is slow, expensive, and talent‑constrained:\n\n* **Expensive.** Small labs routinely spend **$100k+/year per analyst**; large labs spend millions. \n* **Talent bottleneck.** Many groups run **\\~5:1 experimentalists to analysts**, so researchers wait weeks to months for results.\n* **Dual expertise required.** Useful analysis needs **both** strong coding skills and deep biological context—most researchers only have one.\n* **Resource‑intensive + fragmented tooling.** Labs often lack scalable compute, standardization, or long‑term data management. Many are stuck with custom scripts and tools that feel **15+ years behind**.\n\n### **Our Solution**\n\nWe want to put analysis **back in the hands of researchers**:\n\n* 🧠 **LLM‑powered pipelines** that plan, generate, and run bioinformatics workflows behind the scenes\n* 📊 **Instant, publication‑ready plots** from raw CSVs, FASTQs, BAMs., and more\n* 🔍 **Natural‑language querying** (“Which genes are most differentially expressed?”)\n* 🧪 **Exportable Jupyter notebooks & reproducible Python code** for auditability and downstream tweaking\n* ♻️ **Versioned runs & provenance** so you can rerun, compare, and share analyses confidently\n\n### **How it works**\n\n1. **Upload your data + describe the experiment** (e.g., “scRNA‑seq of treated vs. control organoids”).\n2. **Novaflow infers the right workflow** (e.g., QC, normalization, clustering/UMAP for scRNA‑seq; DE for bulk RNA‑seq; peak calling + motif analysis for ATAC‑seq).\n3. **We spin up the compute, run the pipeline, and return plots**, summaries, and a notebook you can keep, rerun, or extend.\n\n### **Who this is for**\n\n* **Life scientists** blocked by slow or missing bioinformatics support\n* **Academic labs** doing genomics, transcriptomics, proteomics, etc.\n* **Biotech teams** that want to accelerate R&D with leaner headcount\n* **Clinical/diagnostic groups** using high‑throughput assays\n\n### **Our Ask**\n\n* [Book a demo](https://calendly.com/aman-novaflowapp/30min?month=2025-07) if you’re interested in seeing how Novaflow can support your lab! \n* Know a research lab, hospital, or biotech company that might benefit from Novaflow? Send us an email - we’d love an introduction! [contact@novaflowapp.com](mailto:contact@novaflowapp.com)",
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        "created_at": "2025-07-25T21:00:30.886Z"
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      "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": 30711,
    "name": "Char",
    "slug": "char",
    "former_names": [
      "Hyprnote"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
    "website": "https://char.com",
    "all_locations": "Seoul, Seoul, South Korea; Remote",
    "long_description": "Char is a daily notepad that finishes your todos for you. Type a checkbox, and an agent picks it up — researching, drafting, or scheduling on your behalf. Stay in command. Char does the work.",
    "one_liner": "The AI notepad that knows and works for you",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Productivity",
    "launched_at": 1755302445,
    "tags": [
      "SaaS",
      "Productivity",
      "Open Source",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "B2B",
      "Productivity"
    ],
    "regions": [
      "South Korea",
      "East 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/char",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/char.json",
    "year_founded": 2023,
    "city": "Seoul",
    "country": "KR",
    "linkedin_url": "https://www.linkedin.com/company/charnotes",
    "x_url": "https://x.com/getcharnotes",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/fastrepl",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca02a57c5f38896120f1fe6767d1975b6a6b522.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c4470d243a167150cf9dc68c684d5223f7c8ee1d.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1166442,
        "full_name": "John Jeong",
        "title": "Founder/CEO",
        "founder_bio": "designing interfaces for humans and agents",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/johntopia",
        "x_url": "https://x.com/computeless",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea10a90642ece06e0d2532013e4753735870be0a.jpg"
      },
      {
        "user_id": 652833,
        "full_name": "Deokhaeng Lee",
        "title": "Founder",
        "founder_bio": "CS @ Duke \nFormerly founder @ Hyprnote (S25), engineering @ Carousel Technologies (W24) \n",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/dklee0127",
        "x_url": "https://x.com/duckduckhero",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62062010b3f111a712747148585d18b807b525df.jpg"
      },
      {
        "user_id": 1374655,
        "full_name": "Yujong Lee",
        "title": "Founder",
        "founder_bio": "OSS enthusiast. Check out my work at: https://github.com/yujonglee",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/yujong1ee",
        "x_url": "https://x.com/yujonglee",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/caf1a60577dd61bc87ba59b5b794090ec04fe0ed.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 93180,
        "title": "Hyprnote⚡️ Open-source AI notetaker for enterprises",
        "tagline": "We help teams craft personalized meeting notes while keeping full control of their data",
        "body": "### **TL;DR**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) is an [open-source](https://github.com/fastrepl/hyprnote) **AI notetaker for enterprises**. It transcribes and summarizes meetings while keeping 100% of data on-device or on-prem — so companies stay in control.\n\n<https://www.youtube.com/watch?v=x4TRi2WOR5s>\n\n### **Why Existing AI Notetakers Fail**\n\nEvery other tool ships your conversations off to 3rd party clouds. Enterprises banned them because they violated data sovereignty.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/15cd071d-825d-49a9-a1fe-b078d3e2f2b5)\n\n### **How Hyprnote Flips the Script**\n\n[**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) runs entirely on your laptop, server, or air-gapped network:\n\n* **Private by default**: not a single byte leaves your system, ever.\n* **AI-powered notes**: clear, actionable summaries.\n* **Enterprise-ready**: HIPAA, SOC2, ITAR, FedRAMP-friendly.\n* [**Open source**](https://github.com/fastrepl/hyprnote): transparent and extensible.\n* **Flexible deployment**: run it where you want.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/e9e59bd3-9993-4029-b8ab-de8bde4a1ea1)\n\n### **Why We Built This**\n\nWe saw enterprise employees stuck taking manual notes because “AI notetakers” weren’t actually enterprise-ready. [**Hyprnote**](http://hyprnote.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc) exists so teams can finally use AI without giving up control of their data.\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/df8a57c6-74fb-4f4f-a455-0091527206b6)\n\n### **What You Can Do**\n\n1/ Introduce us to **_VPs or Directors_** driving **_digital transformation_** in regulated industries.\n\n2/ Start using it **_FREE FOREVER_** — and spread the word.\n\n3/ Star us on [**GitHub**](https://github.com/fastrepl/hyprnote)!\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/2119f8f8-575f-4a5c-aa1c-295bfe57a15c)\n\n### **NEED an AI notetaker you can actually trust?**\n\n[**Try Hyprnote — where conversation stay yours**](http://hyprnote.com?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\n![uploaded image](/media/?type=post&id=93180&key=user_uploads/1166442/a2e52475-b1e0-47de-8e1b-ba56959bdae5)\n\n",
        "url": "https://www.ycombinator.com/launches/OEu-hyprnote-open-source-ai-notetaker-for-enterprises",
        "votes": 58,
        "created_at": "2025-08-20T14:56:21.706Z"
      }
    ]
  },
  {
    "id": 30712,
    "name": "Relling",
    "slug": "relling",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e003594279b3a4474845b643ff2ee16c26f34a1a.png",
    "website": "https://relling.co",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "deploying the first billion robots for manufacturing",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1756070413,
    "tags": [
      "Robotics",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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/relling",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/relling.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/107829108/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e003594279b3a4474845b643ff2ee16c26f34a1a.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": 2707563,
        "full_name": "Anya Singh",
        "title": "Founder/CTO",
        "founder_bio": "chess player",
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        "full_name": "Sean Conley",
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        "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",
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        "full_name": "Sam Stoll",
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        "title": "Motives - Qualitative consumer research run by AI",
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        "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",
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    "website": "https://www.gofinto.com/",
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        "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."
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        "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**."
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        "full_name": "Jonas Morgner",
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        "title": "(Senior) Solution Engineer",
        "url": "https://www.ycombinator.com/companies/finto-de/jobs/9rF94y6-senior-solution-engineer",
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        "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",
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        "full_name": "Fern Morrison",
        "title": "Founder/CEO",
        "founder_bio": "Foundational models for risk and quality. \n\nApple Battery team; employee #9 and led product at Mitra Chem (raised >$200M); Stanford Chemical Engineering",
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        "full_name": "Gabriele Pozzato",
        "title": "Founder/CTO",
        "founder_bio": "AI-Native Data Center Engineering\n\nBattery multiphysics modeling at Form Energy\nDeveloped IronGrid’s risk-modeling infrastructure during his postdoc at Stanford\n",
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        "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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        "tagline": "AI UGC, Pixar-style animation and AI commercials, delivered weekly. Creative production and Meta campaign management, together or separately.",
        "body": "# Knowlify: AI video ads, made for you every week\n\n**Knowlify is a done-for-you video advertising agency for B2B and B2C companies running paid social.** We produce finished AI UGC ads, Pixar-style character animation ads and AI commercials. We also offer Meta campaign management for teams that want creative production and campaigns handled together.\n\n[See our work and book a call](https://www.knowlify.com/).\n\n## What we make\n\n- **AI UGC:** Presenter-led, straight-to-camera ads built around your product and message.\n- **Pixar-style animation:** Original characters and stories that bring your product to life.\n- **AI commercials:** Produced scenes and product shots, created with AI and finished by our team.\n\nWe handle concepts, scripts, production, editing and sound. Every finished ad receives a human quality check before delivery.\n\n## How it works\n\n1. **Brief:** A 20-minute kickoff call about your product, audience, goals and brand assets.\n2. **Approve:** Within 48 hours, we send angles, hooks, scripts and visual direction for your approval.\n3. **Launch:** The first batch of finished ads arrives five days after the first call.\n4. **Keep testing:** New batches follow weekly, with about 25 finished ads a week. Campaign results help shape the next batch.\n\nEach approved variant counts as a finished ad. Drafts, re-exports and minor revisions do not.\n\n## Creative and campaigns, together or separately\n\nFor teams that want end-to-end support, we combine creative production with Facebook and Instagram campaign management. Responsibilities and pricing are agreed in your proposal.\n\nAlready have a media buyer? Use Knowlify for creative production. Your ad account remains yours, media spend is separate, and you keep every finished ad.\n\n## Who we are\n\nWe're Ritam, Jon, Ritvik and Arjun, the founders of Knowlify (YC S25). We built Knowlify for teams that need a steady flow of finished video creative to test.\n\n## The ask\n\nIf you're a founder or marketer running paid social, or preparing to start, we'd love to hear about the ads you need next.\n\n[See examples and book a call at knowlify.com](https://www.knowlify.com/).\n\n*Updated October 14, 2026 to reflect Knowlify's current services.*",
        "url": "https://www.ycombinator.com/launches/OAm-knowlify-done-for-you-ai-video-ads-and-meta-campaign-management",
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    "long_description": "Omnara is an open-source, model-agnostic control plane for managed agents. One API to deploy, run, and control them. Self-host it, or use our managed cloud.\r\n",
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    "subindustry": "B2B -> Engineering, Product and Design",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/omnara.json",
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    "city": "San Francisco",
    "country": "US",
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        "user_id": 1391601,
        "full_name": "Ishaan Sehgal",
        "title": "Founder/CEO",
        "founder_bio": "Building omnara.com, the open-source alternative to claude managed agents! Omnara is an API that allows you to create and interact with AI agents easily. Previously I was an AI infra engineer at Microsoft, where I built and led Kaito (https://github.com/kaito-project/kaito/graphs/contributors). Before that, I worked on ML at Windsor (YC W19, acquired 2024) and interned at Roblox. I hold a BS/MCS in CS from UIUC.\n",
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      {
        "user_id": 2661368,
        "full_name": "Kartik Sarangmath",
        "title": "Founder/CTO",
        "founder_bio": "Commanding my fleet of AI agents at omnara.com. \nPreviously at ThirdAI, optimizing neural networks for CPU deployment. Completed BS and MS in Computer Science at Georgia Tech focusing on computer vision research, publishing 3 papers and training large multimodal models at Meta AI.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kartiksarangmath/",
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      {
        "id": 112080,
        "title": "Omnara: The API for Production-Ready agents",
        "tagline": "Open-source alternative to claude managed agents",
        "body": "Omnara is an open-source platform for creating and interacting with production-ready agents via an API, without having to worry about the tedious parts of managing an agent control plane. It’s an open-source alternative to Claude Managed Agents, Langchain Managed Agents, Vercel Eve, etc.\n\n## **Problem:**\n\n---\n\nBuilding agents is hard. Many companies are building agent control planes, both for internal use and external use. The common pattern is you use some local agent framework, like claude agent sdk, mastra, langchain, or your own loop, host that on VMs/kubernetes/workers, expose an API with endpoints to interact with agents, handle machine failures, resumption of an agent, provisioning sandbox environments so those agents can code, configure endpoints to add skills and MCPs, have user message tracking, audit logs, and on and on.\n\nIt’s a lot of infrastructure work that has nothing to do with what the agent actually does. And most teams end up having to build and maintain their own versions of it.\n\nOmnara is that layer. It provides this infrastructure for you. So you can create and interact with your agents through a standard API without having to worry about building and maintaining your own control plane.\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/7b5a0575-9a32-4af8-966f-9b6370e74edc)\n\n## **Bring your own computer:**\n\nRun this on any linux or macOS machine (windows coming soon): \\\n**curl -fsSL https://app.omnara.com/install/omnarad.sh | sh**\\\nIt connects the machine to the Omnara control plane. You can then give any agent access to this machine. This allows you to spin up an EC2 instance and have your agents use that as a persistent machine, or even run it on your macbook so that cloud agents can directly edit files locally when it’s online. You can also bring your own sandbox provider API keys (currently we support Blaxel, Daytona, and Unikraft).\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/55bd57b2-62f9-414e-8acc-405797264d3a)\n\n## **Bring your own model:**\n\nOmnara allows you to bring your own LLM endpoint and API key (we support OpenAI Responses, OpenAI Completions, and Anthropic Messages formats, with more coming soon). You can use your hundreds of thousands of free LLM credits from YC in Omnara!\n\n![uploaded image](/media/?type=post&id=112080&key=user_uploads/1391601/12802420-8c49-4609-bd5c-9b7df94954f6)\n\n---\n\nBecause you can bring your own machine and models, you can use Omnara for completely free! Our architecture allows us to efficiently host hundreds of millions of agents on minimal hardware, so we can easily eat that cost.\n\nIf you prefer our hosted models (via openrouter) and hosted sandboxes (via blaxel), we're giving $1,000 in credits to the first 50 teams building on Omnara. Email us at [**contact@omnara.com**](mailto:contact@omnara.com) with what you're building and we’ll apply the credits to your organization.\n\nIf you want help self-hosting the control plane or running it in your VPC/on-prem, we’re taking on five design partners. Email [**ishaan@omnara.com**](mailto:ishaan@omnara.com).\n\nWebsite: [**omnara.com**](http://omnara.com) \\\nApp: [**app.omnara.com**](http://app.omnara.com) \\\nDocs: [**docs.omnara.com**](http://docs.omnara.com) \\\nSource: [**github.com/omnara-ai/omnara**](http://github.com/omnara-ai/omnara)",
        "url": "https://www.ycombinator.com/launches/T9k-omnara-the-api-for-production-ready-agents",
        "votes": 10,
        "created_at": "2026-08-24T18:26:24.991Z"
      },
      {
        "id": 97081,
        "title": "Omnara: Run Claude Code from Anywhere 🤖",
        "tagline": "Stay involved with your coding agents without being at your desk",
        "body": "We’re Ishaan and Kartik, and we’re building **Omnara**, a web and mobile interface for Claude Code that lets you keep coding agents moving even when you’re away from your desk.\n\n🎥 Demo:[ https://x.com/i/status/2014383431845839186](https://x.com/i/status/2014383431845839186)\n\n## **❌ The Problem**\n\nCoding agents can work independently for long stretches, but they still block on human input.\n\nIf an agent needs clarification while you’re away, everything pauses.\\\nIf your laptop sleeps, long-running work stops.\\\nMost remote agent tools run in hosted environments instead of where your code actually lives.\n\nAgents should fit around your schedule, not the other way around.\n\n## **🛠️ The Solution**\n\n**Omnara makes working with coding agents feel continuous instead of fragile.**\n\nYou can:\n\n* Start agents locally and stay involved from anywhere using web or mobile\n* Keep work moving even if your laptop goes offline\n* Talk to agents using voice when typing isn’t convenient\n\n## **🔒 Run agents in your environment, access them from anywhere**\n\nWith Omnara, your coding agent runs on your own machine, whether that’s your laptop or a remote VM you control.\n\nYou can access and interact with that agent from anywhere, securely, without SSH, port forwarding, or tunneling.\n\nYour agent runs in your real environment, but you’re not tied to the machine it’s running on.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/81388baf-658a-4c43-94ac-1ce4e17a1605)\n\n## **☁️ Keep agents running when your machine is off**\n\nAgents shouldn’t stop just because your laptop does.\n\nIf your machine goes offline, Omnara can keep the agent running in the cloud so work continues. You can still interact from web or mobile, and when you’re back at your desk, you can pick up where things left off.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/098a8bf1-046d-4362-86b2-63d984e999dd)\n\n## **🎙️ Talk to your coding agent**\n\nMobile typing works for quick replies, but it’s not great for longer back and forth.\n\nOmnara includes voice so you can talk to your coding agent when typing isn’t convenient. Speaking tends to provide more context and makes it easier to iterate, especially while walking or multitasking.\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/829c73b5-6a60-41e8-a9c3-0fa98de80d39)\n\n## **💸 Pricing**\n\n* Free: up to 10 agent sessions per month\n* $20/month: unlimited sessions\n* When agents run in your environment, you can use your existing Claude Pro or Max subscription\n\n## **🙏 Our Ask**\n\nIf you use Claude Code or rely on long-running coding agents, we’d love your feedback.\n\n👉 Try it: [omnara.com](https://www.omnara.com/)\n\n[👉](https://www.omnara.com\\)%F0%9F%91%89) Install in one line:\\\ncurl -fsSL <https://omnara.com/install/install.sh> | bash\n\n👉 Reach us: [founders@omnara.com](mailto:founders@omnara.com)\n\n— Ishaan & Kartik\n\n![uploaded image](/media/?type=post&id=97081&key=user_uploads/2661368/6ef3e27b-3742-4e1a-9d77-1ec8a6c5bc41)\n\n",
        "url": "https://www.ycombinator.com/launches/PFp-omnara-run-claude-code-from-anywhere",
        "votes": 17,
        "created_at": "2026-01-23T20:07:51.104Z"
      },
      {
        "id": 93029,
        "title": "Omnara - The first command center for AI agents: terminal, web, and mobile",
        "tagline": "Run Claude Code from anywhere and switch seamlessly between devices",
        "body": "https://www.loom.com/share/03d30efcf8e44035af03cbfebf840c73\n\nStart Claude Code in the terminal, then pick it up instantly on web or mobile with a seamless handoff between all three\n\n### The Problem\n\nClaude Code is incredible, but it chains you to your desk.\\\nOnce an agent starts working, you’re stuck waiting in the terminal for it to ask you something. That could take 5–10 minutes, and if you’re away, progress halts. We’ve coded from our beds, on walks, in Ubers, while doing laundry… and yes, even on the toilet — but only after we built Omnara.\n\nExisting solutions don’t solve this well:\n\n* **Other Claude Code wrappers** (e.g., Crystal, Conductor) often replace the native experience but don’t let you jump between terminal, web, and mobile.\n* **Terminal replication tools** (e.g., Vibetunnel, Termius) let you SSH in, but have no push notifications, clean diffs, or simple setup.\n\n### What’s Omnara?\n\nOmnara is the **first agent command center** — start an AI agent in the terminal, then continue the same session from our web dashboard or mobile app.\n\nWith Omnara, you can:\n\n* Launch agents from terminal, web, or mobile.\n* Switch between them instantly.\n* Get **real-time push notifications** when agents need your input.\n* Review logs, see Git diffs, and approve/reject changes with one tap.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/bf61f9ae-4f37-4377-90c8-fc2bed1d0866)\n\n**How it works**\\\nWe built a CLI wrapper that mirrors the native Claude Code experience — output, permissions, notifications, and mode switching — by parsing the session file at _\\~/.claude/projects_ and terminal output in real time. All agent and user messages are streamed via SSE to the Omnara platform, where you can respond from anywhere.\n\nIt’s fully open source: [github.com/omnara-ai/omnara](https://github.com/omnara-ai/omnara)\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/837e9af0-e038-4bb1-9f1c-1ebf152f8157)\n\n### Why launch with Claude Code first?\n\nOmnara works with any AI agent, but Claude Code users immediately “get” the value. It’s the perfect human-in-the-loop use case — and the one we use every day.\n\nWe’ve also used Omnara as a human-in-the-loop node in n8n workflows, e.g., for replying to emails. This is just the beginning.\n\n![uploaded image](/media/?type=post&id=93029&key=user_uploads/1391601/96e585a6-db46-4a20-8901-0ddbc7e409cf)\n\n### Pricing\n\nFree for up to 10 agent sessions/month.\\\n$9/month for unlimited.\n\n### About Us\n\nWe’re **Ishaan & Kartik**, childhood friends since Montessori. We’ve spent years working in AI and AI infra at big tech and acquired startups and love building tools that remove friction for developers.\n\n### Try it free\n\n`pip install omnara && omnara`Then log in at [omnara.com](http://omnara.com) or download our iOS app: [Omnara on the App Store](https://apps.apple.com/us/app/omnara-ai-command-center/id674...)",
        "url": "https://www.ycombinator.com/launches/OCT-omnara-the-first-command-center-for-ai-agents-terminal-web-and-mobile",
        "votes": 25,
        "created_at": "2025-08-15T06:52:33.641Z"
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    "id": 30724,
    "name": "Risely AI",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Risely’s AI agents will form the new operating system for universities, improving retention, staff productivity, and efficiency. Our platform integrates directly into existing university systems (SIS, LMS, CRM), learns each institution’s unique workflows, and deploys specialized AI agents. This dramatically reduces the $735 billion universities spend annually on administrative labor, expands staff capacity without increasing headcount, and improves the student experience.\r\n\r\nThis hasn't been done before because university workflows require nuanced, autonomous judgment, exactly what agentic AI was designed to solve. Our team uniquely combines deep expertise in higher education, enterprise-scale AI, and regulated enterprise sales.\r\n\r\nSadia previously built Salesforce’s Education Cloud from scratch, creating the core Student Information System widely used across higher education. She deeply understands university operations and maintains trusted relationships with hundreds of higher-ed CIOs and Provosts.\r\n\r\nDanial was one of DoorDash’s earliest engineers, where he architected and scaled complex systems from zero to billions of transactions, including their search, recommendation, and Voice AI platforms. He knows how to build robust AI solutions that reliably perform at enterprise scale. \r\n\r\nShahryar was a GM at Airwallex, where he built the entire Americas business from 0 to 1 and drove 11x revenue growth.  He’s also a master closer, single-handedly securing over $17M in enterprise deals at NerdWallet.  He’s a relentless startup executor with deep expertise launching and scaling go-to-market machines in highly regulated industries.\r\n\r\nWe launched six weeks ago and are already at $8k MRR, growing 55% week-over-week -- one of the fastest ramps ever in higher ed. Universities urgently need solutions that expand labor capacity and efficiency, especially as they face unprecedented budget pressure and staffing shortages.\r\n\r\nWith unmatched buyer access, deep technical expertise, and rapid early traction, we are perfectly positioned to own this enormous market.",
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    "team_size": 8,
    "industry": "Education",
    "subindustry": "Education",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
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        "user_id": 2145090,
        "full_name": "Shahryar Abbasi",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-founder of Risely;  serial operator with 13+ years building businesses. As GM at Airwallex, I built the Americas business from 0 to 1 and delivered 11x revenue growth. As VP Product at Trustedhealth, I transformed the growth funnel with automation and drove double-digit conversion gains. As Head of Platform Growth at NerdWallet, I drove $17M+ in P&L impact, and at Bain, I shaped market strategy for leading tech firms. I’m most at home building from zero & closing seven-figure deals. ",
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        "linkedin_url": "https://www.linkedin.com/in/shahryarabbasi/",
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        "user_id": 2782517,
        "full_name": "Sadia Saifuddin",
        "title": "Founder/CPO",
        "founder_bio": "CPO & Co-founder of Risely AI. Previously, I spent 7 years leading product development for Salesforce's Education Cloud, where I built from scratch the Student Information System that campuses everywhere rely on as their system-of-record. I also served as a voting Regent on the University of California Board of Regents, working shoulder-to-shoulder with Chancellors, Presidents, CIOs, and CFOs - giving me deep, firsthand insight into how universities operate and make decisions.",
        "is_active": true,
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      {
        "id": 92561,
        "title": "Risely: AI agents that automate administrative tasks across college campuses",
        "tagline": "The new AI operating system for universities, improving retention, staff productivity, and efficiency. ",
        "body": "Hi! We’re Sadia, Shahryar, and Danial, co-founders of **Risely AI**.\n\n**TL;DR** \\\nRisely’s AI agents automate administrative tasks across college campuses. Our first product, the AI Advisor, improves retention by connecting to university systems (SIS, LMS, and CRM) and unifying student data to flag at-risk students, send personalized outreach, and draft success plans, all in natural language. \n\n**Ask:** Know a university leader looking to improve retention? Introduce us! Email us at [founders@risely.ai](mailto:founders@risely.ai) or [book a demo](https://www.risely.ai/#bottom).\\\nhttps://youtu.be/qqyKgn7LmWE\n\n### **The Problem**\n\nColleges spend millions of dollars recruiting students, only to have 1 in 3 students drop out because of poor student service.\n\nAcademic advisors – the front line of student support – spend more time digging through clunky systems to manually find at-risk students than helping them succeed.\n\nBy the time they realize a student is struggling, students have already slipped through the cracks. \n\n### **Our Solution**\n\nRisely’s AI Advisor improves retention and expands a university’s capacity to deliver personalized support to every student. \n\n![uploaded image](/media/?type=post&id=92561&key=user_uploads/2145090/6a0960dc-5aad-4498-98cd-bd72892d089d)\n\n**Our AI Advisor works across the SIS, LMS, and CRM to:** \n\n📍  Flag students showing signs of risk before it’s too late\\\n✍🏽 Generate personalized success plans in seconds\\\n🧠 Answer questions about students, courses, and caseloads in natural language\\\n🗂️ Send personalized outreach and follow-ups\n\n![uploaded image](/media/?type=post&id=92561&key=user_uploads/2145090/ae6c7627-5ade-4447-bb02-0fe79637ba02)\n\n**And this is just the beginning.**\n\nRisely’s AI agents will form the new operating system for universities, improving retention, staff productivity, and efficiency. Next, we’re building an  AI Sidekick for every student, an AI Registrar, and an AI Research Admin - all deeply connected to campus workflows and knowledge.\n\nRisely’s early customers include private colleges, large public systems, and online universities - all delivering personalized support at scale without increasing headcount.\n\n### **The Founders**\n\n![uploaded image](/media/?type=post&id=92561&key=user_uploads/2145090/7ebc529f-3f17-431b-97f8-8a52804b4e35)\n\n**Sadia (CPO)** – Sadia spent 7 years at Salesforce leading product for Education Cloud, where she launched a next-gen Student Information System now used by universities globally. She also served as a UC Regent, shaping policy at one of the largest public systems in the world.\n\n**Danial (CTO)** – Danial was a senior engineering leader at DoorDash, where he built the Voice AI and Search platforms that powered billions of customer interactions. He specializes in scalable AI systems and enterprise-grade infrastructure.\n\n**Shahryar (CEO)** – Shahryar is a former Bain consultant and GM who built Airwallex’s U.S. business from scratch, scaled growth teams across sales and marketing, and led $20M+ enterprise deals at Nerdwallet. He brings deep go-to-market and operating expertise to Risely.\n\nWe met at UC Berkeley over 15 years ago and bring deep, complementary expertise across higher ed, AI, and startup execution. We started Risely to fix a system we know is broken, from the inside out.\n\n### **OUR ASK**\n\nWe are looking to connect with university leaders who want to shape the future of AI in higher ed. If you know someone focused on student success, we’d love to hear from you.\n\n👉 [Book a demo](https://www.risely.ai/#bottom) or email us at [founders@risely.ai](mailto:founders@risely.ai)\\\n👉 Follow us on[ Twitter/X](https://twitter.com/RiselyAI) and\\[ LinkedIn\\\n\\](https://linkedin.com/company/risely-ai) 👉 YC batchmates, reach out if you want to jam on use cases or pilot ideas\\\n📣 Share this post with anyone in your network working in student success, advising, or higher ed innovation.\n\nThank you!\n\n![uploaded image](/media/?type=post&id=92561&key=user_uploads/2145090/37f17b62-c0c1-406d-aec6-4ae9e82012ba)\n\n",
        "url": "https://www.ycombinator.com/launches/O4v-risely-ai-agents-that-automate-administrative-tasks-across-college-campuses",
        "votes": 14,
        "created_at": "2025-07-30T04:49:18.725Z"
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    "id": 30725,
    "name": "Minimal AI",
    "slug": "minimal-ai",
    "former_names": [
      "Minimal AI",
      "Minimal AI, Inc."
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    "website": "https://gominimal.ai/",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Minimal AI makes it easy for e-commerce brands to build and manage AI support teams that resolve 90%+ of tickets while increasing revenue.",
    "one_liner": "AI Agents for E-commerce Customer Support",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755048998,
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    "url": "https://www.ycombinator.com/companies/minimal-ai",
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    "year_founded": 2024,
    "city": "Amsterdam",
    "country": "NL",
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        "user_id": 1977649,
        "full_name": "Niek Hogenboom",
        "title": "Founder/CEO",
        "founder_bio": "Niek is the Co-Founder and CEO of Minimal AI\n\nHe started his first business at the age of 16, selling and importing custom suits from his parents' house and sold the business 3 years later. After graduating from Aerospace Engineering at Delft University of Technology, he spent a year leading the most successful solar racing team in the world and grew his startup SitRight to $2M+ revenue during covid.\n\nLater he did his master's research at the University of Oxford before founding Minimal AI",
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        "linkedin_url": "https://www.linkedin.com/in/niek-hogenboom/",
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        "user_id": 1524183,
        "full_name": "Titus Ex",
        "title": "Founder/CTO",
        "founder_bio": "Titus is the Co-Founder and CTO of Minimal AI\n\nHe previously worked as a data scientist / machine learning engineer at Uber and Soda, a Point-Nine backed data quality startup in Amsterdam. \n\n Titus holds an MSc in Applied Math and has been working on AI since 2018.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/titus-ex-85691711a",
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    "launches": [
      {
        "id": 92995,
        "title": "Minimal: AI Customer Support Teams for E-commerce",
        "tagline": "We make it easy for e-commerce brands to build and manage AI customer support teams that resolve 80% of tickets.",
        "body": "Hey YC 👋\n\nWe're [**Niek**](https://www.linkedin.com/in/niek-hogenboom/) and [**Titus**](https://www.linkedin.com/in/titus-ex-85691711a/) from [**Minimal AI**](https://gominimal.ai/).\n\n# **TL;DR**\n\nMinimal AI makes it easy for e-commerce brands to build and manage AI support teams that resolve 90% of tickets at human-level quality. The result: reduced support costs while actually improving customer experience and sales. Minimal AI’s Agents currently resolve tens of thousands of tickets per day.\n\n<https://www.youtube.com/watch?v=zi9eLe0-z_Q>\n\n# **Problem**\n\nEveryone thinks AI customer support is solved. It's not. E-commerce customer support is complex and fast-paced. Stores have:\n\n1. Fragmented tech stacks (e.g. Shopify + Zendesk + Shipbob + 12 other tools)\n2. Policies that change weekly (return windows, shipping rates, product launches etc.)\n3. Brand-specific nuances (tone-of-voice, upsell strategies etc.)\n\nCurrent solutions force an impossible choice: spend months on expensive implementations with endless vendor calls and complex solutions (that break whenever your business evolves), or settle for basic black-box chatbots that frustrate customers. E-commerce brands can't afford to waste resources on either. Tom Blomfield even called current AI Customer Service tools vaporware:\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/0d7deb74-50db-4652-997e-95150298f702)\n\n# **Solution**\n\nWe make it easy for e-commerce brands to build and manage AI customer support teams that resolve 80% of tickets.\n\n**How it works**\\\nUsers train and manage the AI Agents through a single conversational\\\ninterface called the AI Manager. Users can transparently see the Agent's reasoning, provide feedback, and watch it instantly update protocols. The AI Manager also spots gaps and proactively suggests improvements.\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/de1a17d0-bca1-4a28-88e2-4aabc24ad8b7)\n\nFor example, users might say:\n\n* _\"For ticket #12345, use the WMS tracking URL instead of Shopify next time\"_\n* _\"Orders from multiple ShipBob locations arrive separately - warn customers upfront\"_\n* _\"Damaged items need 2 clear photos before refunding\"_\n\nThe AI Manager instantly updates protocols and asks clarifying questions when needed. Done. Your Agents now handle similar cases perfectly.\n\nIt feels like outsourcing your support to a team of AI Agents, with the AI Manager as single point of contact.\n\n# **Team**\n\nNiek and Titus have known each other for two years and met through mutual friends.\n\n[**Niek**](https://www.linkedin.com/in/niek-hogenboom/) (CEO) - Niek started his first business at the age of 16, selling and importing custom suits from his parents' house and sold the business 3 years later. After graduating from Aerospace Engineering at Delft University of Technology, he spent a year leading the most successful solar racing team in the world and grew his startup SitRight to $2M+ revenue during covid. Later he did his master's research at the University of Oxford before founding Minimal AI.\\\n\\\n[**Titus**](https://www.linkedin.com/in/titus-ex-85691711a/) (CTO) - Titus previously worked as a data scientist / machine learning engineer at Uber and Soda, a Point-Nine backed data quality startup in Amsterdam. Titus holds an MSc in Applied Math and has been working on AI since 2018.\n\n![uploaded image](/media/?type=post&id=92995&key=user_uploads/1977649/120ebc73-9c7f-4643-9097-b341b8a10217)\n\n# **Our Ask**\n\n* Intro us to E-commerce founders, CEOs, COOs, or heads of CX\n* Check out [gominimal.ai](https://gominimal.ai/) and [book a demo with one of the founders](https://cal.com/niek-hogenboom-ps3xzq/minimal-demo).\n\n_👉 contact us at [niek@gominimal.ai](https://mailto:niek@gominimal.ai)_",
        "url": "https://www.ycombinator.com/launches/OBv-minimal-ai-customer-support-teams-for-e-commerce",
        "votes": 87,
        "created_at": "2025-08-14T16:10:58.285Z"
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    "id": 30726,
    "name": "Socratix AI",
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      "Socratix AI, Inc"
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    "website": "https://getsocratix.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Socratix builds AI coworkers for fraud and compliance teams so that humans don't have to spend their days drowning in alerts and spreadsheets.\r\n\r\nToday, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. \r\n\r\nSocratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount.\r\n\r\nWe've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and compliance.\r\n\r\nWe're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution. ",
    "one_liner": "AI coworkers for fraud and compliance teams.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1752778488,
    "tags": [],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
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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/socratix-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/socratix-ai.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/socratix-ai/",
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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": 644801,
        "full_name": "Riya Jagetia",
        "title": "Founder/CEO",
        "founder_bio": "I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/riya-jagetia/",
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      {
        "user_id": 432152,
        "full_name": "Satya Vasanth Tumati",
        "title": "Founder/CTO",
        "founder_bio": "Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix.\nPreviously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/satya-vasanth/",
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      {
        "id": 109806,
        "title": "Member of Technical Staff, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/JtqwNF7-member-of-technical-staff-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 1.50%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 113369,
        "title": "Founding GTM Lead, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/USMvlll-founding-gtm-lead-ai-agents",
        "location": "Mountain View, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $140K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "Will sponsor",
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      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92776,
        "title": "Socratix AI: AI Coworkers for Fraud and Risk Teams",
        "tagline": "Socratix provides AI agents that function like fraud and risk analysts - only faster, cheaper, and always-on.",
        "body": "Hi everyone,\\\nWe’re [Riya](https://www.linkedin.com/in/riya-jagetia/) & [Satya](https://www.linkedin.com/in/satya-vasanth/) - the co-founders of [Socratix AI](http://getsocratix.ai/). We’re building AI coworkers for fraud and risk teams so that people don't have to spend their days drowning in alerts and spreadsheets.\n\nhttps://www.youtube.com/watch?v=_-ds8g2SgIg\n\n# ❌ **The Problem:**\n\nToday, fraud and risk teams at fintechs and banks are overwhelmed. They're reviewing **hundreds of alerts per week** - jumping between tools, manually gathering context, and making tough judgment calls under pressure.\n\nThe work is **repetitive, slow, and prone to error**. Hiring more analysts is slow and expensive. Meanwhile, fraudsters are creative, constantly evolving their tactics to bypass static rules and outdated ML models.\n\nThe result: overwhelmed teams, blocked good users, and missed real threats.\n\n# ✅ **The Solution:**\n\nSocratix gives fraud and risk teams AI coworkers - **agents that think like human analysts but operate 24/7 and scale effortlessly.**\n\nOur agents plug into existing tools and workflows to:\n\n* Ingest alerts\n* Pull rich context (accounts, devices, behaviors, history)\n* Assess risk using past cases and SOPs\n* Auto-close false positives\n* Escalate high-risk cases with clear rationale and next steps\n\nThe result is fewer fraud losses, reduced false positives, and better customer experiences - all without scaling headcount.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team:**\n\n![uploaded image](/media/?type=post&id=92776&key=user_uploads/644801/f528f61b-67b4-4a51-95b0-970e85b4e13c)\n\nWe’ve seen this problem up close, and we’ve felt both sides: the manual pain of fraud operations and the transformative power of autonomous AI.\n\nRiya (CEO) previously led the development of AI/ML fraud detection and investigation tools at DoorDash and Unit21, helping prevent tens of millions of dollars in fraud losses and making analysts 3X more efficient. She holds a Computer Science degree from MIT.\n\nSatya (CTO) previously built enterprise-grade AI/ML systems for real-world autonomy - most recently at Cruise. He has worked with ML and software engineering his entire career. He holds a Computer Science degree from IIT and a Master’s in Computer Science from UCLA.\n\nWe’ve been in the trenches - stitching together context across messy tools, triaging endless alerts, and scrambling to keep up with evolving threats. **Now, we’re teaming up to** **bring autonomous AI to fraud and risk - and eliminate the manual toil for good.**\n\n# **🙏 Our Ask:**\n\nIf you’re a fintech, marketplace, or financial institution drowning in fraud ops, alert fatigue, or growing backlogs - we’d love to help. Whether you’re rebuilding your fraud stack, struggling with your false positives, or curious about AI agents for your workflows, we’d love to share what we’re seeing in the space and show you a demo! \\\n\\\n👉 Contact us at [riya@getsocratix.ai](https://mailto:riya@getsocratix.ai) and [satya@getsocratix.ai](https://mailto:satya@getsocratix.ai)\n\n🕐 Book a time [here](https://calendly.com/riya-getsocratix/30min)",
        "url": "https://www.ycombinator.com/launches/O8O-socratix-ai-ai-coworkers-for-fraud-and-risk-teams",
        "votes": 16,
        "created_at": "2025-08-06T16:56:52.508Z"
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    "id": 30727,
    "name": "Alara",
    "slug": "alara",
    "former_names": [
      "DentalSteals"
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    "website": "http://alaradental.com",
    "all_locations": "",
    "long_description": "Alara aggregates product listings from numerous suppliers, shows real-time price comparisons, and lets dentists order from different vendors in a single cart. With Alara, dental offices are saving time and money when ordering supplies. ",
    "one_liner": "Procurement Platform for Dental Offices",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755223060,
    "tags": [
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      "Procurement",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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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/alara",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/alara.json",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 2729327,
        "full_name": "Dr. Sabrine Obbad",
        "title": "Founder",
        "founder_bio": "Co-founder of Alara. I'm a pediatric dentist and private practice owner who experiences first hand the procurement mess we are trying to solve. I hold a B.Sc and M.Sc in Chemistry from NYU and a D.D.S from NYU College of Dentistry. Prior to being a dentist I was a pharmaceutical and computational chemist working in the field of protein biochemistry where I helped develop cancer drugs for clinical trials. ",
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        "linkedin_url": "https://www.linkedin.com/in/sabrineobbad",
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      {
        "user_id": 430348,
        "full_name": "Elyas Obbad",
        "title": "Founder",
        "founder_bio": "Co-founder of Alara. I was previously at DoorDash, Google, and Meta, where I led engineering on large-scale AI systems and consumer products used by millions. I hold an M.S. in Computer Science from Stanford and a B.S. from Columbia, specializing in AI and intelligent systems. As a researcher at Stanford’s Trustworthy AI Lab, I’ve published first-author work at ICML and NeurIPS on large language model data curation and alignment. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elyas-obbad-071a01176/",
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    "id": 30729,
    "name": "Floot",
    "slug": "floot",
    "former_names": [
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    "website": "https://floot.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Floot is the layer where vibecoded software runs.\r\n\r\nSaaS is dead. Hundreds of millions of people already spend their day in Claude or ChatGPT - and increasingly, when they need an app, they won't buy one. They'll describe it, and it will exist.\r\n\r\nWe're building the infrastructure that makes that real. When Claude creates an app, it needs somewhere for that app to live: a backend, a database, hosting, a domain, the ability to scale, various services, maybe even to be able to work as a mobile app. Floot is that place - a full stack purpose-built for AI to operate, from a specialized framework that defines how AI writes and runs code, down to scalable hosting on AWS.\r\n\r\nThis means you can now build and ship real apps directly inside Claude and ChatGPT. Connect Floot, and the model you already pay for writes and debugs the code, shows a live preview, and publishes to your own domain. No need to wire up git, vercel, supabase and a dozen other providers. And no AI credits - every message runs on the subscription you already have, because we charge for the platform, not for a token markup.\r\n\r\nWe built Floot this way because we've watched the model layer commoditize - every serious builder writes good code now, including us. The lasting value isn't another agent between you and the model. It's the layer underneath, from wherever people already are. We're building Floot to be the home for all operation software, for the decades where most new software on earth is written by AI.\r\n\r\n✨ Try it: floot.com\r\n",
    "one_liner": "The app platform inside Claude and ChatGPT.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1753721322,
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      "No-code",
      "Web Development",
      "AI"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/floothq/",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 2071169,
        "full_name": "Yujian Yao",
        "title": "Founder/CEO",
        "founder_bio": "Yujian was a staff engineer at Retool where he rebuilt the entire Retool runtime powering every Retool app. Before that, he was an early engineer at Asana. He’s also a gold medalist in National Olympiad Informatics, Singapore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yjyao/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e0d4160a3651f09be412d301746a264197e4261.jpg"
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    "jobs": [
      {
        "id": 82610,
        "title": "Founding Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/floot/jobs/2rbWibL-founding-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $220K",
        "equity_range": "0.25% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Node.js",
          "React",
          "TypeScript"
        ]
      },
      {
        "id": 82612,
        "title": "Founding Growth Marketer",
        "url": "https://www.ycombinator.com/companies/floot/jobs/gyHYJjj-founding-growth-marketer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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    ],
    "news": [],
    "launches": [
      {
        "id": 112249,
        "title": "Floot - build and run your app with ChatGPT and Claude. No AI credits needed.",
        "tagline": "Floot gives your agent a place to write, test, and ship code - you never touch git, local files, or a thousand vendor accounts.",
        "body": "ChatGPT and Claude can already write you an app. Getting it live is another story.\\\n\\\n<https://www.youtube.com/watch?v=cFmZPUVfKCY>\n\nConnect Floot, and your AI becomes a full-stack app builder. You don’t get limited to your computer - the AI agent can use Floot on the web, in the desktop apps, or from your phone. The model you already pay for writes and debugs the code, shows you a live preview, and publishes to your own domain. No git, Vercel, Supabase, Resend, or OneSignal to set up - a stack of tools that was never built for you anyway.\n\n![uploaded image](/media/?type=post&id=112249&key=user_uploads/2071169/fcf08d3d-384b-4da1-bb8c-b342dbb8c478)\n\nAnd the part we're most excited about: Floot doesn't charge you AI credits.\n\nEvery message, every change, every random question uses the Claude or ChatGPT subscription you already have. No settling for a lesser model to make the credits last. Explore freely - test every idea, ask every question.\n\nTakes a minute to connect. Free to start → [**floot.com**](http://floot.com)",
        "url": "https://www.ycombinator.com/launches/TCT-floot-build-and-run-your-app-with-chatgpt-and-claude-no-ai-credits-needed",
        "votes": 22,
        "created_at": "2026-08-25T23:52:27.371Z"
      },
      {
        "id": 92516,
        "title": "Floot - The easiest and most powerful AI app builder",
        "tagline": "The fastest way for non-coders & entrepreneurs to build apps that actually work.",
        "body": "Hi everyone 👋 We’re Edward and Yujian, the founders of Floot!\n\n**TLDR:** Floot lets non-coders &amp; entrepreneurs build real web apps that actually work. We’re taking a new approach by building everything from the ground up for AI.\n\n✨ [Try building an app right now!](https://floot.com)\n\n# The Problem\n\nExisting AI app builders fall short of enabling non-coders to build real, serious apps. They often:\n\n* **Break down** when building anything more than a prototype or toy app\n* **Have non-coders stuck** with errors they don’t understand\n* **Require non-coders to handle multiple services** designed for developers (e.g. for backend, database, hosting, etc)\n\n**The fundamental problem**: these AI app builders just cobble together existing developer tools and slap AI on top, but these tools were designed for humans and not for AI.\n\nThe result? Non-coders get excited, start building, hit a wall, and then abandon their projects.\n\n# Our Solution\n\nFloot is purpose-built for AI. Our secret sauce:\n\n1. Instead of reusing a coding framework designed for humans, **we created a specialized framework** that dictates how AI should write code and how the code runs on our infrastructure. This allows us to enforce best practices, detect errors earlier, and give the best feedback to the AI. As a result, Floot can write better code and fix issues more effectively.\n2. **Floot has the entire tech stack built-in** (backend, database, hosting, etc) so building and managing an app feels seamless, especially for non-coders. And because we control every layer of the stack, we can optimize each layer for AI-first coding.\n\nBecause of this, **non-coders can get more done with less time** and prompting. They can finally **build serious apps** that work, instead of getting stuck in frustrating error loops and then abandoning their projects.\n\nWe also built a **highly scalable hosting system** directly on AWS so Floot apps can handle real traffic and business demands. This means non-coders can build, deploy, and scale their apps on a single platform seamlessly.\n\nPlus, **Floot is really fun to use**! It takes your prompt, breaks it down, and shows you how it accomplishes each step. If it sees a bug while building, it lets you know and fixes it right away.\n\nYou can even draw on your app to visually communicate the changes you want:\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/b6bd69f7-9f86-4db9-929e-4ad3ab66b129)\n\n**Here’s what a customer said about Floot:**\n\n_I'd tried other platforms but could never advance far enough to feel truly productive. The time investment and constant token usage just to fix issues had me ready to hire a developer again. With Floot, I had a working app within a week, even working in my off-hours, and started beta testing with my team days later. We estimate Floot has saved us around $20,000 so far. Best of all, their customer support has gone above and beyond at every turn._\n\n✨ [Try Floot yourself!](https://floot.com) (bonus: build something you’ve made in other tools to compare)\n\n# Why are we building this?\n\nWe believe that existing tools are based on technologies built for human developers and ill-suited for the future of AI writing most of the code. The whole toolchain of building and maintaining software desperately needs to adapt to the new reality. We are starting with web apps with the goal of evolving into the new foundation of software, empowering the next generation of builders.\n\n# Team\n\n[Yujian](https://www.linkedin.com/in/yjyao/) was a staff software engineer at Retool and Asana. At Retool, he rebuilt the entire runtime to optimize the user experience for builders. At Asana, he built the rich editor that powers every task and comment. Yujian ranked 4th in the National Olympiad in Informatics, Singapore.\n\n[Edward](https://www.linkedin.com/in/edwlk/) scaled his SaaS to 10k+ customers by taking something technically complex and making it accessible to non-technical users, and now he’s doing the same with Floot. For his SaaS, he built a highly scalable and reliable distributed system to handle low-latency applications. Before that, Edward built infrastructure at AWS and studied CS at Berkeley.\n\n# Our ask\n\n✨ [Try building an app in minutes on Floot!](https://floot.com)\n\nWe’d love your feedback (even nitpicks!) - reach us at [founders@floot.com](mailto:founders@floot.com)\n\nKnow someone who needs to build an app? Have them try Floot :)\n\n![uploaded image](/media/?type=post&id=92516&key=user_uploads/2071169/d62a49f0-5907-44fa-8ff3-f9c374f1e8b0)\n\n",
        "url": "https://www.ycombinator.com/launches/O4C-floot-the-easiest-and-most-powerful-ai-app-builder",
        "votes": 63,
        "created_at": "2025-07-28T18:39:02.551Z"
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    "long_description": "idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.",
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    "city": "San Francisco",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 316251,
        "full_name": "Ivan Chub",
        "title": "Founder/CEO",
        "founder_bio": "idler. Previously cofounder of Dark Forest, 0xPARC, Zupass, Hack Lodge; also previously at Facebook, Dynasty, AppSheet.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ivanchub/",
        "x_url": "https://x.com/chubivan",
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      {
        "user_id": 557067,
        "full_name": "Nalu Concepcion",
        "title": "Founder",
        "founder_bio": "currently: scaling RL environments. \n\nformerly: orchestrated 500+ person parties, monthly @ notsominimoments · swe @ msft · product @ poshmark · data science @ paymongo",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nalu-concepcion/",
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      {
        "user_id": 1569620,
        "full_name": "Tony Goss",
        "title": "Founder",
        "founder_bio": "cto @ idler. I (ethically) hacked Dark Forest to win $400k, beat the #1 ranked Dominion player, and play pro ultimate frisbee.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/tony-goss-a53732132",
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        "id": 106607,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/6bxHBTm-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $400K",
        "equity_range": "0.01% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "title": "Design Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/Lxnn9vi-design-engineer",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 106668,
        "title": "Research Scientist",
        "url": "https://www.ycombinator.com/companies/idler/jobs/k8SRWwY-research-scientist",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$200K - $500K",
        "equity_range": "0.50% - 1.50%",
        "experience": "Any (new grads ok)",
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      {
        "id": 106670,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/idler/jobs/D473KZp-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $400K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 108287,
        "title": "Special Projects Operator",
        "url": "https://www.ycombinator.com/companies/idler/jobs/zTROCBy-special-projects-operator",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$125K - $400K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 114955,
        "title": "Executive Assistant",
        "url": "https://www.ycombinator.com/companies/idler/jobs/nk4V3PX-executive-assistant",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$130K - $180K",
        "equity_range": "0.05% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 116440,
        "title": "Offensive Security RL Researcher",
        "url": "https://www.ycombinator.com/companies/idler/jobs/BpzzPnW-offensive-security-rl-researcher",
        "location": "San Francisco",
        "type": "Full-time",
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        "role_type": null,
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    "launches": [
      {
        "id": 111319,
        "title": "idler — push the frontier of your model",
        "tagline": "Hill-climb any benchmark, for any model, in any domain using our RL environments.",
        "body": "Today, we're introducing [Idler](https://idler.ai/) – a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.\n\nIn the last year, we’ve developed thousands of coding evals and environments for a top lab, continuously improving our product to keep pace with the frontier – even as models have gotten 8x better at long-horizon coding.\n\nNow, we're offering off-the-shelf datasets across an even broader set of capabilities: long-horizon software engineering, cybersecurity, recursive self-improvement, legal, long-horizon strategy &amp; ops, enterprise safety, and many others.\n\n[ShelfLife](http://idler.ai/collections/shelflife), our first public benchmark, is out today — a digital twin seeded with the complete operational data of a live, profitable, growing multi-brand retailer running 9 stores, 3 commerce platforms, and a multi-supplier sourcing operation. Post-training Nemotron 3 Nano on 41 ShelfLife tasks raised its Finance Agent Benchmark score from 30.0% to 41.8% (p ≤ 0.001); full results and sample tasks are available [upon request](https://idler.cal.com/d/hpkJFogs2hcjrdqiSW9kCj/30min).\n\n**Our ask. Reach out if:**\n\n* You or someone you know is working on post-training at a lab or enterprise.\n* You have 10-100 employees and you’d like to supplement your revenue by licensing your codebase or de-identified business data.\n* You know any exceptional researchers, infra engineers, or ops people looking for their next challenge. We’re hiring!\n\nWe’d love to hear from you at [hello@idler.ai](mailto:hello@idler.ai). Thanks for the support!\n\n\\-[Nalu](https://x.com/naluconcepcion), [Ivan](https://x.com/chubivan?lang=en), &amp; [Tony](https://x.com/cha0sg0d_).\n\n![uploaded image](/media/?type=post&id=111319&key=user_uploads/557067/a5fd0af4-18b9-449d-a871-63818866898d)\n\n",
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        "votes": 12,
        "created_at": "2026-08-19T13:16:53.490Z"
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    "website": "https://www.trymaximal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Maximal is building autonomous systems to plan and move the world's freight.\r\n\r\nOur first product is a context-aware algorithmic load planning platform for full truckload (FTL) carriers. Our agents plug into a carrier's existing ERPs and communication channels, using that context to generate holistically optimized load plans. The result: carriers earn more revenue-per-mile while spending less time planning.\r\n\r\nOur founding team\r\n* grew up in 3PLs and trucking companies\r\n* studied the math behind transportation science at Cornell, Columbia, and USC\r\n* developed the technology that optimizes Amazon's distribution and fulfillment center network",
    "one_liner": "Truckload Planning at Machine Precision",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1755096535,
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    "year_founded": 2025,
    "city": "San Francisco",
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    "linkedin_url": "https://www.linkedin.com/company/maximalfreight",
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        "user_id": 535144,
        "full_name": "Leeds Rising",
        "title": "Founder/CEO",
        "founder_bio": "CEO and founder of Maximal (YC S25).\n\nCareer across logistics, fintech, devtools, massive-scale data platforms. Studied CS + Operations Research at Cornell, Columbia. Math, history of technology, philosophy of mind/ethics.\n\nGrew up in family's 3PL business, PM for Stuffstr (last-mile delivery in UK), optimized throughput as an engineer for Amazon's BOS3 DC under Kiva Robotics. Passionate about (kite-) surfing, squash, running, longevity.",
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        "linkedin_url": "https://www.linkedin.com/in/leedsrising",
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        "full_name": "Derek Ye",
        "title": "Founder/CTO",
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    "id": 30732,
    "name": "Humoniq",
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    "long_description": "Humoniq is fully automating customer support for travel & transport industries, which outsource $20B of customer support each year. Our AI-native approach improves speed, accuracy, and satisfaction.\r\n\r\nWe handle support requests across phone, email and chat. And because we connect directly to Sabre and Amadeus, we don’t just answer questions, we fully resolve complex issues. As a result, airlines need far fewer people and travelers get help much faster.\r\n\r\nOur team is uniquely equipped to solve this challenge. We previously grew a travel management company, Flightfox (YC S12), to $25M/yr. We handled thousands of customer requests each month, which exposed the limitations of traditional outsourcing.",
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    "team_size": 5,
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "founders": [
      {
        "user_id": 33409,
        "full_name": "Todd Sullivan",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder of Humoniq, building voice AI agents for airlines and travel agencies. Previously co-founded and built Flightfox (YC S12) to over $20m in annual sales. Before that, I was a software engineer at DoD (AU) and Raytheon.",
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      {
        "user_id": 2538575,
        "full_name": "Will Weber",
        "title": "Founder/CRO",
        "founder_bio": "Co-Founder at Humoniq. Previously led growth and product at Flightfox (YC S12). Also played pro soccer.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/w-weber/",
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    ],
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      {
        "id": 93225,
        "title": "Humoniq - AI Contact Center for Travel",
        "tagline": "The first customer support center for travel & transport companies run by AI agents, not humans.",
        "body": "We’re [Will](https://www.linkedin.com/in/w-weber/) and [Todd](https://www.linkedin.com/in/todsul/) 👋 and we’re building the first customer support outsourcing option for travel and transport companies that doesn’t rely on humans. Instead of massive offshore teams, Humoniq runs on AI agents delivering faster, cheaper, more helpful service.\n\nWe previously built [Flightfox (YC S12)](https://www.ycombinator.com/companies/flightfox) where we grew revenue to over $22M annually, and ran support operations handling millions of customer interactions. That experience showed us how easily traditional outsourcing breaks under the pressure of travel’s unique demands, and gave us the conviction that AI is the only way to build something better.\n\n[**https://youtu.be/Fzlotm1gQzw**](https://youtu.be/Fzlotm1gQzw)\n\n# **❌ The Problem:**\n\nTravel and transport companies spend billions on outsourced customer support, and the experience for travelers is among the worst of any industry. Long waits and frustrating conversations with agents who are underpaid, poorly trained, and burned out by repetitive work are the norm. These failures aren’t accidents, they are the predictable outcome of how the system is built.\n\nTraditional business process outsourcing companies (BPOs) are designed to handle high-volume, repetitive work at lower cost than hiring a fully in-house team, but the tradeoffs in customer experience are steep. The model relies on large pools of low-wage, undertrained workers, and gaps in language or cultural context make interactions slower and less effective. For travelers, that means slow, inconsistent support and unresolved problems. For travel companies, it means unhappy customers.\n\n# **✅ The Solution:**\n\nWe’re replacing the old outsourcing model. Instead of relying on massive teams of low-wage human workers, we rely on voice and text AI agents that scale instantly, operate around the clock, and deliver consistent service every time.\n\nOur AI contact center covers both front-office support, for example, airlines handling flight changes, seat requests, or baggage questions, and also back-office tasks such as processing ticket exchanges, issuing refunds, and updating reservations. By automating both the customer conversations and the follow-up tasks, requests are resolved quickly and without handoffs.\n\nFor travelers, this means getting help right away and leaving with a resolution instead of frustration. For travel companies, it means keeping the efficiencies of outsourcing while finally delivering the level of service that makes customers happy.\n\n# **🙏 Our Ask:**\n\nOutsourcing is broken. It’s time to rebuild it with AI. If you know leaders at airlines, travel agencies, travel management companies, or large transport providers who care about customer experience, we’d love to chat. And if you’re an investor who wants to be part of replacing the old model, now’s the time.\n\nEmail: [**founders@humoniq.ai**](mailto:founders@humoniq.ai)",
        "url": "https://www.ycombinator.com/launches/OFd-humoniq-ai-contact-center-for-travel",
        "votes": 16,
        "created_at": "2025-08-21T19:06:49.717Z"
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        "user_id": 710141,
        "full_name": "Amayr Babar",
        "title": "Founder/CEO",
        "founder_bio": "Captain at Nautilus\nAmayr holds an A.B. and a B.E. in Engineering from Dartmouth. ",
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        "linkedin_url": "https://linkedin.com/in/amayrbabar",
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        "user_id": 740687,
        "full_name": "Ali Sareini",
        "title": "Founder/CTO",
        "founder_bio": "Ali Sareini is the co-founder and CTO at Nautilus. He holds a B.S. in CS from the University of Virginia and left Dartmouth’s MEM program to build Nautilus full-time. Previously, he built critical money-movement systems at Fidelity Investments. Ali led SABRES, a private consulting firm, and serves on the board of a Missouri-based public-safety company. He got his start at Autobell Car Wash in high school — now he builds the software the industry runs on.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alisareini/",
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        "id": 91602,
        "title": "Full-Stack Engineer",
        "url": "https://www.ycombinator.com/companies/nautilus/jobs/7eCs9m3-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$140K - $220K",
        "equity_range": "0.25% - 1.50%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      },
      {
        "id": 99954,
        "title": "Customer Solutions Engineer",
        "url": "https://www.ycombinator.com/companies/nautilus/jobs/DRmdE4D-customer-solutions-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$110K - $150K",
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        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/nautilus/jobs/M1jf647-customer-success-manager",
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        "title": "Nautilus, Droptop launch integration linking carwash and quick lube reporting",
        "url": "https://www.carwash.com/nautilus-droptop-deep-integration/",
        "date": "Mar 12, 2026"
      },
      {
        "title": "AI-Powered Platform Gives Carwash an Unfair Advantage",
        "url": "https://www.carwash.com/ai-powered-carwash-management-platform/",
        "date": "Mar 04, 2026"
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        "title": "Professional Carwashing & Detailing",
        "url": "https://digital.carwash.com/html5/reader/production/default.aspx?pubname=&edid=d0d36fef-d3f1-4735-abb0-12c57d0b49bb",
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      {
        "title": "Nautilus launches carwash AI platform for NXT Wash",
        "url": "https://www.carwash.com/nautilus-carwash-ai-platform-nxt-wash/",
        "date": "Oct 06, 2025"
      },
      {
        "title": "Nautilus AI carwash platform secures $500K from Y Combinator - Professional Carwashing & Detailing",
        "url": "https://www.carwash.com/ai-carwash-platform-y-combinator-funding/",
        "date": "Aug 12, 2025"
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      {
        "id": 93508,
        "title": "Nautilus: The AI platform to grow and optimize car washes",
        "tagline": "The unified platform modernizing how 80,000 car washes manage customers, drive repeat sales, and turn data into action.",
        "body": "**TL;DR:** \n\nNautilus is an all-in-one AI-powered CRM, e-commerce, and marketing automation platform for car washes. We’ve partnered with car washes nationwide, helping operators increase online sales, decrease churn, and improve retention.\n\nhttps://youtu.be/J5aY1itNYYA\n\n**The Problem:**\n\nCar wash operators are stuck with outdated POS systems and limited modern CRM infrastructure. To sell memberships, run promotions, or follow up with customers, they rely on a patchwork of tools such as spreadsheets, texting platforms, email software, and old-school portals.\n\nThis leads to:\n\n* Missed revenue opportunities\n* High churn with limited recovery\n* Zero visibility into performance\n* Limited customer data capture\n\n**Our Solution:**\n\n* Nautilus is a modern operating system for car wash growth. We Integrate with legacy car wash POS systems\n* Centralize all customer and performance data into a unified CRM\n* Provide an e-commerce storefront for online membership and member management\n* Automate SMS and email marketing triggered by customer behavior\n* Apply AI to optimize campaigns, provide insights to their legacy POS data, and surface next best actions to improve revenues\n\nOperators use Nautilus to run thousands of daily automations from upsells to win-backs, all without manual work. What used to take weeks now happens in real time.\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/04b14248-ca7c-43aa-bf4d-6db496219fd1)\n\n**Why We’re Building This**\n\nWe’re engineers and former car washers who’ve seen this problem up close. Amayr studied engineering and computer science at Dartmouth and spent two years building custom tools for car wash operators to grow online sales, manage memberships, and automate operations. Ali started as a top-performing cashier at Autobell, where he saw firsthand how outdated systems led to long lines, missed revenue, and frustrated customers. After graduating from the University of Virginia, he worked as a software engineer at Fidelity Investments before joining Amayr at Dartmouth, where we were completing our master’s degrees in engineering management.\n\nWe’ve been friends for over 10 years, and we’ve experienced the car wash problem both on the ground and from the system level. We built Nautilus to give operators the platform they’ve never had, one that’s purpose built for growth, automation, and real-time decision-making.\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/6abfb69a-5e55-4711-a9bc-224e34ecd6de)\n\n![uploaded image](/media/?type=post&id=93508&key=user_uploads/710141/da8f392e-0f75-40f9-b9f5-dee1e4feff67)\n\n**How can you help?**\n\nWe’re looking to connect with car wash owners and operators. If you know someone in the space, we’d love an intro. As a thank-you, we’ll give the referred operator our premium Compass AI product for free (a $750/month value) to help them optimize operations from day one.\n\nReach us at [founders@nautilus.co](https://mailto:founders@nautilus.co). Thank you for your support!\n\n**Welcome aboard! We’re just getting started.**\n\nGrateful to be part of the S25 crew,\n\nAmayr & Ali\n\nhttps://natlu.us/launchyc",
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        "votes": 24,
        "created_at": "2025-09-02T14:35:23.028Z"
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    "id": 30734,
    "name": "Avelis Health",
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    "all_locations": "New York City, NY, USA",
    "long_description": "𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬:\r\nI (Angel) have had three knee surgeries since my mid-teens and was billed more than $250K for care that should have cost a fraction of that. Fighting those inflated charges was so painful that we set out to build a consumer-facing AI agent to do it for others. In less than five months, we helped sixty patients erase or reduce over $300K from their medical bills.\r\n\r\nThis inspired us to fix the problem farther upstream: stopping bad payments before the patient ever sees a bill. So we launched payment integrity, machine-learning models that audit every medical claim for self-insured employers and health plans in real time.\r\n\r\n𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦:\r\n• Self-insured employers waste $60 B+ each year on claims that never should have been paid. Healthcare is the 2nd largest company expense after payroll.\r\n\r\n• Manual audits are slow and partial: Reviewers focus only on high-dollar claims, letting millions more slip through unnoticed.\r\n\r\n• Existing audit software is static: Decades-old rule engines can’t keep pace with evolving codes, contracts, or billing tactics.\r\n\r\n• Incentives are misaligned: Third-party administrators are paid to process claims, not to police them, so accuracy checks are minimal.\r\n\r\n𝐎𝐮𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧:\r\nOur models audit medical claims before and after payments have been issued. We catch nuanced billing, coding, and contract errors to save 3-7% on annual claims spend. We work with self-insured employers and health plans.\r\n\r\n𝐀𝐛𝐨𝐮𝐭 𝐔𝐬:\r\nAngel Onuoha (CEO) and Ahmad Shehu (CTO) have worked together for 4 years. Before Avelis Health they built Zuvy, a Lagos-based fintech company that provided invoice factoring to small businesses. Zuvy was acquired by The BAS Group in 2025.",
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    "subindustry": "Healthcare -> Healthcare IT",
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    "country": "US",
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        "full_name": "Angel Onuoha",
        "title": "Founder/CEO",
        "founder_bio": "Angel is a 3x founder, Harvard alum, and previous PM @ Google. He is currently building AI agents to audit medical claims for self-insured employers.",
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        "full_name": "Ahmad Shehu",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO @ Avelis\nAhmad is a 3x founder and full-stack builder with a deep appreciation for craft. He has shipped products from zero to one across the entire stack and led the teams behind them, driven by the conviction that things worth building are worth building well, and that consistent progress compounds into big outcomes.",
        "is_active": true,
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      {
        "id": 93135,
        "title": "Avelis Health ⚔️ Preventing overpayments on medical claims",
        "tagline": "We audit medical claims for self-insured employers and health plans",
        "body": "TL;DR: We build AI agents to audit medical claims and identify errors due to coding, billing, and contract violations. Our voice agents automate the process of requesting medical records and recovering overpaid claims from providers.\n\nhttps://youtu.be/gL5IFvnwf6g\n\n**The Problem**\n\n* Self-insured employers and health plans lose $100B+ annually to overpayments on medical claims\n* Legacy audit systems only sample high-dollar claims, missing systematic errors\n* Patients pay the price with higher premiums, reduced coverage, and larger out-of-pocket expenses\n\n**The Solution**\n\n* Machine Learning: Our models review 100% of claims to identify errors and patterns over time\n* Voice AI: We automate the process of medical record retrieval with voice agents\n* Clinical validation with LLMs: Our AI agents review medical records to validate what was actually billed\n* Prevention & Recovery: We integrate into existing claim systems to prevent wrongful payments and recover funds already lost\n\n**Why we're building this**\\\nOver the past 9 years, Angel had three knee surgeries and fought down $250k in inflated hospital bills. We first built a consumer tool that saved $300k for 60 patients in a few months. Then we realized the bigger impact comes from fixing the problem at its source, before the bill ever reaches the patient.\n\n**Backgrounds:**\n\nAngel studied CS/Econ at Harvard and is a 3x founder. He scaled his first company to 60+ enterprise partnerships with financial institutions (Goldman Sachs, JPMorgan, Bank of America). In 2021, he and Ahmad founded Zuvy, a fintech company based in Nigeria, which was acquired by a PE firm in 2025. Earlier, Ahmad built healthcare data platforms for the Nigerian government, serving 20M+ people.\n\n**Get a risk-free claims audit at [avelishealth.com](http://avelishealth.com).**\n\n![uploaded image](/media/?type=post&id=93135&key=user_uploads/89898/2edb2c0f-4e8a-4e9b-bf8f-37918ec91b39)\n\n",
        "url": "https://www.ycombinator.com/launches/OEB-avelis-health-preventing-overpayments-on-medical-claims",
        "votes": 67,
        "created_at": "2025-08-19T06:39:38.032Z"
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    "id": 30736,
    "name": "PARES AI",
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    "website": "https://www.pares.ai/",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "PARES is an AI-native real estate services firm, providing investment sales brokerage and property management to institutional and middle-market property owners and investors across the country. \r\n\r\nReal estate is an extremely labor-intensive business, often requiring scaling headcount to grow, being extremely local to submarkets, and operating on low margins. With AI, these services can be centralized and delivered better, faster, and at a fraction of the cost.\r\n\r\nAI-native brokerage:\r\n- Prospecting sellers through automated inbound and outbound outreach\r\n- Underwriting deals and producing marketing materials with speed and precision\r\n- Surfacing hidden buyers, running the marketing process, and negotiating contracts\r\n- Handling all back-office, accounting, and additional support\r\n\r\nAI-native property management: \r\n- Communicating with tenants and vendors around the clock\r\n- Screening leasing prospects, sending applications, and drafting leases\r\n- Collecting rents, making payments, and chasing delinquencies\r\n- Running accounting, payroll, and owner reporting\r\n\r\nCheck us out at https://www.pares.ai/",
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    "team_size": 3,
    "industry": "Real Estate and Construction",
    "subindustry": "Real Estate and Construction",
    "launched_at": 1752084453,
    "tags": [
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      "Proptech",
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    "batch": "Summer 2025",
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      "America / Canada"
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    "country": "US",
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      "name": "Tyler Bosmeny",
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    "founders": [
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        "user_id": 2453509,
        "full_name": "Zihao Wang",
        "title": "Founder/CEO",
        "founder_bio": "Zihao is the Founder of PARES. Before PARES, Zihao ran a $500M+ real estate fund at Motiva Holdings and led 39 multifamily value-add and development projects across CA, NC, and FL. He also studied CS & AI at MIT, giving him expertise in both technology and real estate.",
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        "id": 92120,
        "title": "PARES AI - Helping Commercial Real Estate Brokers Find & Close More Deals",
        "tagline": "All-in-One Solution for CRE Brokers",
        "body": "👋 Hey! I’m Zihao, founder of PARES AI.\n\n**🎯 TL;DR:** I’m building the single AI platform commercial real estate brokers and investors need to source, track, underwrite, and market deals.\n\nOur Launch Video:\n\nhttps://www.youtube.com/watch?v=_LA9YHCv-js\n\n**❌ The Problem:**\n\nA few years ago, I dropped out of MIT to get into the commercial real estate industry. As an investor, I’ve been underwriting deals, managing assets, building relationships with brokers, and in the process, I realized something daunting ☠️… the amount of software brokers have to use to do their jobs is INSANE 😱! Some use up to 7 platforms 🤯!\n\nEvery day, brokers use a mix of CoStar, TruePeople, CRM, Excel Sheets, Constant Contact, Adobe/Canva, etc. to take a deal from start to finish. Juggling all this software leads to unorganized and inefficient workflows, missed follow-ups, and lost opportunities.\n\nCommercial real estate brokers admit themselves to being the least tech savvy. Ironically, they’re expected to juggle the most amount of software! \n\n**✅ Our Solution:**\n\nWe’re building the all-in-one solution for commercial real estate brokers. \n\nWith our platform, brokers can:\n\n1. Automatically update real-time transaction data in our CRM\n2. Create lists of target properties, skip-trace, and easily navigate outbound calls\n3. Underwrite deals with our AI Underwriting Agent\n4. Create OMs/BOVs in minutes with our AI Marketing Agent\n\n**👥 Team:**\n\n**Zihao:** Previously ran a $500M+ real estate fund at Motiva Holdings and led 39 multifamily value-add and development projects across CA, NC, and FL. Previously CS at MIT.\n\n**🙏 Our Ask:**\n\nIf you know any commercial real estate brokers, please let us know!\n\nReach us at [admin@pares.ai](mailto:admin@pares.ai).",
        "url": "https://www.ycombinator.com/launches/Nxo-pares-ai-helping-commercial-real-estate-brokers-find-close-more-deals",
        "votes": 28,
        "created_at": "2025-07-14T17:48:12.483Z"
      }
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    "id": 30738,
    "name": "Altur",
    "slug": "altur",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce362aa339ed75ccb6c9572c39d69b3d181f1cc9.png",
    "website": "https://altur.io",
    "all_locations": "Mexico City, CDMX, Mexico",
    "long_description": "Voice AI Agents for Debt Collection",
    "one_liner": "Voice AI Agents for Debt Collection",
    "team_size": 9,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750622964,
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    "nonprofit": false,
    "batch": "Summer 2025",
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        "user_id": 1306452,
        "full_name": "Luis Olave",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Altur",
        "is_active": true,
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        "user_id": 1306461,
        "full_name": "Pedro Fernández",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Altur",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pedrofdzl",
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      {
        "id": 92793,
        "title": "Altur - AI debt collection for banks",
        "tagline": "We use autonomous voice/text agents to collect debt for banks.",
        "body": "# TL;DR\n\nWe use autonomous voice/text agents to collect debt for banks. Since launching in Mexico 6 months ago, we have collected over $6M USD using only AI agents.\n\n[Our launch video](https://youtu.be/dyfmI1-Cw-A)\n\nCheck us out at [**altur.io**](https://altur.io)ㅤ\n\n# The Problem\n\nCollecting debt for banks is expensive and labor intensive:\n\n* **High churn and uneven quality:** Traditional contact centers rely on underpaid, undertrained agents, which drives turnover, inconsistent conversations, and compliance risk.\n* **Expensive and slow stacks:** Many vendors sit on third party telephony and tooling, which adds latency and cost and limits control.\n* **Weak follow up:** One shot phone calls with no coordinated text or WhatsApp follow through means low connect and conversion.\n* **Blind spots and poor iteration:** Conversational data is fragmented, so teams cannot A/B scripts, enforce policy, or grade calls at scale.\n\n**Result** = low recovery rates, high operating costs, and regulatory exposure.ㅤ\n\n# Our Solution\n\nAltur provides autonomous agents that negotiate, handle objections, and secure payments while maintaining full regulatory compliance. We run on our own telephony infrastructure, so calls are low latency and costs are predictable and scalable.\n\n* **Voice agents** with natural prosody and median sub second response.\n* **Automatic follow up** on WhatsApp that continues the same conversation.\n* **Compliance and policy engine** aligned to client rules, with automatic QA and call grading.ㅤ\n\n# Pricing\n\n* **Usage based.** Per minute pricing with a monthly minimum commit, includes a block of concurrency and standard reporting.\n* **Outcome based option.** We can also operate as the debt collector. Fixed platform fee plus a success component tied to collected amounts.ㅤ\n\n# What's Under the Hood\n\nA 100% in-house product\n\n# The Team\n\nWe are **Luis Olave** and **Pedro Fernández**. We have spent the last 2 years operating in debt collections in Mexico, first with WhatsApp chatbots and now with voice.\n\n# Our Asks\n\n* We’re working with a great set of bank and call center contacts, and would welcome introductions to more.  \n  * Especially debt collection teams at banks, fintech lenders, BNPLs, and contact centers in the US and Latin America.\n* Advice on US collections compliance and vendor onboarding, including Reg F and PCI.\n\n# Contact\n\n[**luis@altur.io**](mailto:luis@altur.io) and [**pedro@altur.io**](mailto:pedro@altur.io)\n\n![uploaded image](/media/?type=post&id=92793&key=user_uploads/1306452/4b8a20e9-84c3-46ad-a150-ab1053bbfc11)\n\n",
        "url": "https://www.ycombinator.com/launches/O8f-altur-ai-debt-collection-for-banks",
        "votes": 43,
        "created_at": "2025-08-06T17:29:56.097Z"
      }
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    "id": 30739,
    "name": "Quotain",
    "slug": "quotain",
    "former_names": [
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    "website": "https://quotain.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Quotain is AI sales roleplay software for revenue teams. Reps practice the calls they need to win against AI buyers built from your playbook, CRM context, and past calls, from cold calls and discovery to negotiations, buying committees, and screen-share demos. Every session is scored against your methodology, and reps retry the exact moment that slipped. Managers see who is ready and what to coach. Try a free practice call at quotain.com.",
    "one_liner": "AI sales roleplay built from your real deals",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Sales",
    "launched_at": 1753907556,
    "tags": [
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      "Sales Enablement",
      "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",
    "app_video_public": false,
    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/quotain",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/quotain.json",
    "year_founded": 2025,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/quotain",
    "x_url": "https://x.com/quotainai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/eden-9680",
    "github_url": null,
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
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        "user_id": 2351489,
        "full_name": "Alexander Talamonti",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Quotain",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alexander-talamonti/",
        "x_url": "https://x.com/AlexTalamonti",
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      {
        "user_id": 965254,
        "full_name": "Jason He",
        "title": "Founder",
        "founder_bio": "Co-Founder of Quotain",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jasonjche/",
        "x_url": "https://x.com/jasonjche",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f0b492b3125d1038aa9cd8df15ad200559f2f2f.jpg"
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      {
        "id": 103246,
        "title": "Quotain - The AI Sales Simulator for Revenue Teams",
        "tagline": "Make the next sales call easier to win.",
        "body": "#### TL;DR\n\nThe future of sales is here. From YC startups to sellers with decades of experience, reps are using Quotain to build the perfect pitch for the exact calls they're about to walk into.\n\nRun a simulation of your prospect, uncover the strongest questions and likely objections, and leave with a refined playbook for the live conversation.\n\n<https://youtu.be/rCXQM14fBhk>\n\nTest your skills for free at [quotain.com](http://quotain.com)\n\n#### FOR REPS\n\nQuotain creates a sim that mirrors a real prospect in your pipeline. It takes in your shared context, their public info, their past objections, their tone, and more. You take the call.\n\nThen Quotain scores you, pinpoints your weaknesses, and develops a script to help you do better in the next round, so the real call closes easily.\n\nWith Quotain:\n\n* Reps ramp in weeks, not months.\n* Reps actually hit quota - average attainment today sits at a brutal \\~50%.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/cb460cf8-e312-477a-bccd-59733ea96652)\n\n#### PRACTICE THAT REPS ACTUALLY COME BACK TO\n\nMost sales training is a box-checking exercise. Quotain is the only platform built to keep reps coming back with some users practicing over an hour a day.\n\nIt works because it creates tangible results. Every drill not only trains the rep, but produces battle-tested scripts that can be used in real calls and by teammates. The more reps practice, the more likely the next call closes.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/646b991f-03d9-4a15-ab35-f18b73e84df4)\n\n### FOR MANAGERS\n\nNobody wants to spend more time in another application. Quotain lets you see your team’s metrics easily and all in one place, so you know exactly where to focus during coaching.\n\nQuotain lets you:\n\n* Prioritize specific areas for improvement when reviewing calls.\n* Automatically assign relevant drills without even going on the app.\n* Pinpoint the weakest stage for each of your reps.\n* See real pipeline progression attributed to Quotain.\n\n![uploaded image](/media/?type=post&id=103246&key=user_uploads/2351489/138baeca-0b57-4b1f-96bd-c3cf43ad4939)\n\nJason and I built Quotain because we're engineers who had to learn sales the hard way.\n\nWant to win today? Book a [demo](https://cal.com/alextalamonti/quotain-intro).",
        "url": "https://www.ycombinator.com/launches/QrG-quotain-the-ai-sales-simulator-for-revenue-teams",
        "votes": 31,
        "created_at": "2026-06-16T13:52:14.233Z"
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    "id": 30740,
    "name": "Metis",
    "slug": "metis",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/46b0762df0bb77a07e7ee5cbbad034e5c74e1cb4.png",
    "website": "https://withmetis.ai",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "We build infrastructure enabling AI agents to reliably perform complex tasks in production",
    "one_liner": "Infrastructure to build reliable agents",
    "team_size": 13,
    "industry": "B2B",
    "subindustry": "B2B -> Infrastructure",
    "launched_at": 1757196548,
    "tags": [],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Acquired",
    "industries": [
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    "regions": [
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      "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/metis",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/metis.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/withmetisai",
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        "user_id": 1259617,
        "full_name": "Aryan Shah",
        "title": "Founder/CEO",
        "founder_bio": "Building Metis, Ex-Mercor",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aryan-shah1/",
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      {
        "user_id": 1048622,
        "full_name": "Aayush Sheth",
        "title": "Founder/CTO",
        "founder_bio": "Working on Metis",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aasheth1",
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        "user_id": 1935035,
        "full_name": "Marcus Yearwood",
        "title": "Founder",
        "founder_bio": "I have a background working in research in generative modeling on the side of promoting functional outputs and adversarially dissuading them. I have always been interested in AI and NLP especially for its entrepreneurial potential and am now building Metis with my cofounders to dive deep into this space.",
        "is_active": true,
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    "id": 30741,
    "name": "F4 Industries",
    "slug": "f4-industries",
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      "F4 Industries",
      "F4"
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    "all_locations": "San Francisco, CA, USA",
    "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.",
    "one_liner": "The GD&T Analysis Platform for Engineering Drawings",
    "team_size": 5,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
    "launched_at": 1752681359,
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/f4-industries",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/f4-industries.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/f4-industries/",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
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        "user_id": 2642473,
        "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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      {
        "user_id": 2779701,
        "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",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aidan-cantu/",
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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"
      },
      {
        "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": 30742,
    "name": "Sira",
    "slug": "sira",
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    "website": "https://sira.team",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sira is the AI-powered platform for managing time tracking, scheduling, payroll, and HR — purpose-built for hourly teams.\r\n\r\nOur intelligent agents handle the manual, time-consuming tasks for you — like calling workers to fill open shifts, detecting timesheet anomalies, and streamlining payroll processing.\r\n\r\nWith Sira, businesses stay organized, compliant, and focused on what really matters — while we take care of the team.",
    "one_liner": "AI Native Rippling for Deskless Workers",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Human Resources",
    "launched_at": 1752264420,
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    "isHiring": true,
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    "batch": "Summer 2025",
    "status": "Active",
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/sira",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/sira.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "url": "https://www.ycombinator.com/people/andrew-miklas"
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        "user_id": 2296932,
        "full_name": "Nathan Belaye",
        "title": "Founder/CEO",
        "founder_bio": "Founder @ Sira.Team | Grew up across 4 continents. CMU alum. Ex-Intuit, led QuickBooks Workforce app. Now building AI tools to help business owners thrive. Grateful to be building with the YC crew.",
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        "user_id": 2548233,
        "full_name": "Antonio Chan",
        "title": "Founder/CTO",
        "founder_bio": "Professional vibe coder.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/antonio-chan/",
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        "id": 104197,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/sira/jobs/NwjdNxG-founding-engineer",
        "location": "San Francisco, CA, US",
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        "role_type": "Full stack",
        "salary_range": "$150K - $250K",
        "equity_range": "",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 105592,
        "title": "Founding Customer & Product Success Manager",
        "url": "https://www.ycombinator.com/companies/sira/jobs/UgXs11e-founding-customer-product-success-manager",
        "location": "San Francisco, CA, US",
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        "role_type": null,
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      {
        "id": 92358,
        "title": "Sira: AI HR Manager for Hourly Teams",
        "tagline": "Sira automates time tracking, scheduling, payroll & HR for hourly teams in minutes 🤯 using AI agents",
        "body": "Hey YC 👋,\n\nWe’re Nathan & Antonio, building an AI HR manager for hourly teams. Running an hourly workforce means drowning in admin: verifying timesheets, tracking attendance, chasing down approvals. **Businesses can spend up to 6 hours a week just verifying timesheets for a team of 15 employees.** Nathan led the QuickBooks Payroll & Time Tracking app from unranked to #12 on the App Store and saw firsthand how fast this overhead grows. We automate the repetitive HR work — so owners and managers can focus on growing their business, not paperwork.\n\nhttps://youtu.be/n8Oq2jPNwhg\n\n**Problem:**\n\nManaging hourly teams is still painfully manual. Over 70% of businesses rely on paper, spreadsheets, and text chains to handle **critical tasks like scheduling, time tracking, and finding shift coverage.** The tools that do exist are clunky, built for desk workers, and assume a level of tech-savviness many frontline teams don’t have. Meanwhile, managers spend hours each week buried in admin — verifying timesheets, coordinating shifts, and chasing down approvals — instead of focusing on their people.\n\n**Solution:**\n\n![uploaded image](/media/?type=post&id=92358&key=user_uploads/2296932/9d85a882-b66f-4b5d-8eb3-c90409bf1838)\n\nWe meet hourly teams where they are — **with** **voice agents and the simplest possible app.** Our platform automates back-office HR by handling tasks like calling workers for shifts, clocking them in automatically, ensuring breaks, flagging missed punches, and completing payroll review. No more chasing, checking, or double entry — just smooth, automated execution of the work that usually slows teams down.\n\n**Do you know any business owners who pay employees hourly?** We are currently offering a 25% discount per user seat.\n\nContact - [nathan@sira.team](mailto:nathan@sira.team)",
        "url": "https://www.ycombinator.com/launches/O1e-sira-ai-hr-manager-for-hourly-teams",
        "votes": 69,
        "created_at": "2025-07-22T18:06:20.874Z"
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    "id": 30743,
    "name": "Opennote",
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    "website": "https://opennote.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Opennote is a notebook with an AI thinking partner built in.\r\n\r\nFeynman lives in your work: it edits your writing, references your knowledge and the web, runs background tasks, and gives feedback as you work. ",
    "one_liner": "The notebook that thinks with you.",
    "team_size": 3,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1752018108,
    "tags": [
      "AI-Enhanced Learning",
      "Education",
      "SaaS",
      "Consumer",
      "Productivity"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Acquired",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "url": "https://www.ycombinator.com/companies/opennote",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/opennote.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://linkedin.com/company/opennote",
    "x_url": "https://x.com/opennote_me",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/opennote",
    "github_url": "https://github.com/opennote-dev",
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    "primary_partner": {
      "name": "Andrew Miklas",
      "url": "https://www.ycombinator.com/people/andrew-miklas"
    },
    "founders": [
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        "user_id": 2157423,
        "full_name": "Rishi Srihari",
        "title": "Founder",
        "founder_bio": "Co-founder @ Opennote",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rishi-srihari/",
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      {
        "user_id": 2099451,
        "full_name": "Abhi Arya",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI Infrastructure for Learning",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/abhiaarya",
        "x_url": "https://x.com/abh1a0",
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        "user_id": 2474963,
        "full_name": "Vedant Vyas",
        "title": "Founder",
        "founder_bio": "Co-Founder @ Opennote\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/vedant-vyas5/",
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    "news": [
      {
        "title": "Opennote acquired by San Francisco-based Reducto | BetaKit",
        "url": "https://betakit.com/canadian-founded-opennote-acquired-by-san-francisco-based-reducto/",
        "date": "May 12, 2026"
      },
      {
        "title": "Opennote raises $850,000 USD, secures Y Combinator spot for edtech platform | BetaKit",
        "url": "https://betakit.com/opennote-raises-850000-usd-secures-y-combinator-spot-for-edtech-platform/",
        "date": "Jul 09, 2025"
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      {
        "id": 92047,
        "title": "Opennote – Interactive Learning for Students",
        "tagline": "Opennote is the interactive AI tutor that lives in your notes",
        "body": "Hey 👋\n\nWe’re [Abhi](https://www.linkedin.com/in/abhiaarya/), [Rishi](https://www.linkedin.com/in/rishi-srihari/), and [Vedant](https://www.linkedin.com/in/vedant-vyas5/) — the co-founders of [Opennote](https://www.opennote.com/)!\n\n**TL;DR**\n\nOpennote is the AI tutor that lives in your notes—turning what you write, into what you learn. **Over 55,000 students** use it today to study smarter with a learning experience that’s personalized and collaborative.\n\nhttps://youtu.be/qfXhPGXdXas\n\n**How It Works**\n\nOpennote goes beyond passive tools by acting as a proactive learning partner embedded directly inside your notes. Our tutor, Feynman, analyzes your writing and thinking patterns in real time, guiding you with Socratic questions, targeted feedback, and visual explanations right where you’re working—helping you truly understand, not just memorize.\n\nYou can study on your own or invite friends to join you—discuss your thoughts, share your journals, and publish your learning in real time for others in the community to see! Opennote makes learning more engaging, social, and effective.\n\n![uploaded image](/media/?type=post&id=92047&key=user_uploads/2474963/dd596675-705e-4000-bbdc-5c559f3206d0)\n\n**Why This Matters**\n\nExisting tools are either static note-takers, passive quiz generators, or outdated LMS systems. Students are demanding smarter, more social ways to learn. Opennote is redefining the space by making learning truly interactive and collaborative.\n\n**The Team**\n\nWe’re a team of three undergrad CS and software engineering students with experience across building software at medtech, fintech, and infrastructure startups — and years spent tutoring and TA’ing. We’ve lived the education grind and built the product we always wished we had.\n\n![uploaded image](/media/?type=post&id=92047&key=user_uploads/2474963/6716fc0c-983c-4b71-9438-9d1855905c52)\n\n**Our Ask**\n\n* Are you a college student looking for better study tools? Or do you know students who are always looking for smarter, more effective ways to learn? Check us out here: [**https://www.opennote.com/**](https://www.opennote.com/)\n  * Use the promo code **YC** for 50% off any subscription for 3 months!\n* Can you introduce us to any groups, clubs, or institutions interested in exploring more interactive and collaborative ways for students to learn?\n\nIf you can help—or want to send us some feedback—feel free to reach out at [**founders@opennote.com**](mailto:founders@opennote.com).",
        "url": "https://www.ycombinator.com/launches/Nwd-opennote-interactive-learning-for-students",
        "votes": 63,
        "created_at": "2025-07-10T17:00:26.960Z"
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    "id": 30744,
    "name": "SigmanticAI",
    "slug": "sigmanticai",
    "former_names": [
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    "website": "https://www.sigmanticai.com",
    "all_locations": "San Francisco, CA, USA",
    "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…",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1752688016,
    "tags": [
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      "AI",
      "AI Assistant"
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    "batch": "Summer 2025",
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    "country": "US",
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      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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        "user_id": 1546753,
        "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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    "all_locations": "San Francisco, CA, USA",
    "long_description": "An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents.\r\n\r\nSourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates.\r\nScientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico.\r\nCommercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment.\r\nClinical Agent: Runs digital twin simulations, evaluates CRO/CMC risk, and builds trial plans to Phase 1.\r\nPoS Agent: Evaluates the most critical factors that impact the likelihood of clinical trial success. \r\n\r\nBuilt by 2 Stanford CS students who have built 3 startups together before. ",
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    "team_size": 4,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Drug Discovery and Delivery",
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        "title": "Convexia: World’s First AI-Maximalist Pharma Company",
        "tagline": "AI agents that search and evaluate early-stage drugs",
        "body": "Hey 👋 We’re [Ayaan](https://www.linkedin.com/in/ayaan-parikh/) and [Rahul](https://www.linkedin.com/in/rahulvijayan28/) — Stanford CS dropouts who’ve exited 3 startups together.\n\nOur 4th startup is [Convexia](https://www.convexia.bio/), an AI-maximalist pharma company. We buy drugs, run clinical trials, and then sell for profit.\n\n🎥 [Launch Video](https://www.youtube.com/watch?v=oFaM-ceSGok)\n\n# **Problem**\n\nPharma is the most bloated, antiquated trillion-dollar industry on the planet.\n\nLife-saving drugs are overlooked, abandoned, or shelved because diligence is still done by hand. Slow, costly, and outdated.\n\n# **Our Solution**\n\nWe use agents to operate 10x faster and 20x leaner. Convexia’s AI agents autonomously handle:\n\n* **Sourcing** – Find hidden early-stage drugs from around the world.\n* **Scientific diligence** – Evaluate drug viability with leading computational biology tools\n* **Market analysis** – Model market size, competition, and IP positioning\n* **Clinical operations** – Simulate trials, flag CMC issues, and discover CROs\n* **Business development** – Match each drug to the right buyer\n\nTest our agents here: https://www.convexia.bio/playground \n\n![uploaded image](/media/?type=post&id=92466&key=user_uploads/2433930/cb571daa-a456-472c-a8fe-b370b2e3b50e)\n\n# **Our Ask**\n\nBefore buying and selling drugs ourselves, we are running pilots with early customers who want to accelerate their search and evaluation processes.\n\n📅 Book a call [here](https://calendly.com/ayaan-convexia/demo). \n\nHere’s who we’re looking to meet—see if anyone’s in your network [here](https://www.linkedin.com/search/results/people/?currentCompany=%5B%22434006%22%2C%2221263%22%2C%2211127960%22%2C%2277579063%22%2C%2218268402%22%2C%223204230%22%2C%2234756183%22%2C%222673956%22%2C%2210317593%22%2C%2286884606%22%2C%2238336%22%2C%2219031898%22%2C%224990022%22%2C%221337177%22%2C%228013%22%2C%2226195%22%2C%226761%22%2C%22617961%22%2C%2212150%22%2C%2248171%22%2C%2211647%22%2C%226866%22%2C%2213476%22%2C%225239%22%2C%227635%22%2C%2233408697%22%2C%223235%22%2C%221893%22%2C%225482%22%2C%222068%22%2C%221663%22%2C%221304385%22%2C%221773%22%2C%221603%22%2C%221399%22%2C%2291149342%22%2C%221642%22%2C%2216233341%22%2C%221485%22%2C%221486%22%2C%222227%22%2C%221406%22%2C%222276%22%2C%221602%22%2C%221204%22%2C%222281734%22%2C%2229088045%22%2C%221185%22%2C%229215024%22%5D&industry=%5B%2215%22%2C%2212%22%5D&network=%5B%22F%22%5D&origin=FACETED_SEARCH&sid=a*t).\n\n* Small/mid pharma companies (Incyte, Nimbus, Roivant SubCos)\n* Biotech VCs (Versant, Atlas, RA Capital)\n* Computational biotechs (Recursion, Insitro, Owkin)\n* Operators who’ve brought drugs to market\n\n# Reach us: [founders@convexia.bio](mailto:founders@convexia.bio)",
        "url": "https://www.ycombinator.com/launches/O3O-convexia-world-s-first-ai-maximalist-pharma-company",
        "votes": 34,
        "created_at": "2025-07-26T01:34:30.747Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.",
    "one_liner": "Agentic Business Intelligence",
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    "subindustry": "B2B -> Analytics",
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        "title": "Pleom ☂️ - Talk to your AI",
        "tagline": "Hardware AI devices for everyday consumers.",
        "body": "**TL;DR**\n\n> Today, Pleom is a website. Ask about anything by talking, showing, or sharing. Tomorrow, it will be integrated into our family of hardware devices.\n\n**What does Pleom do?**\n\nhttps://youtu.be/uH-W9BKGKT0\n\nAt Pleom, we are building AI hardware devices that everyday consumers can talk to for real-world tasks that understands your context. We’re going head-to-head with OpenAI, moving faster to market and capturing mindshare first.\n\n**The Problem**\n\nThe current form factor for how people interact with AI hasn’t changed in 5 years.\n\nTexting is also a slower mode of communication than speaking.\n\nMoreover, Artificial Intelligence lacks the context to properly respond to your questions. Products like ChatGPT fail to understand your complete digital context and have zero knowledge of the physical world context.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/b50422f7-89d9-4b71-bc77-1f86a0e664eb)\n\nA real-life “Jarvis” which seamlessly connects your phones, laptops, car, home appliances, and more to build context to help consumers _ask and do anything_.\n\nOur current live solution on [pleom.com](http://pleom.com) allows anyone to talk to, share their camera or screen and ask questions and receive answers instantly.\n\nBut hardware is our focus and we are transitioning from prototyping into production to launch our first version of pocket AI wearable device with a camera, microphone, and speaker that anyone can carry around and interact with faster than using any current form factor today.\n\n**Team**\n\nRoyce - previously co-founded Bits to Atoms (YC S24) hiring cracked engineers for deep-tech startups. Graduated from Georgia Tech with both a Bachelors and Masters in Machine Learning by the age of 18. Also, worked as a Data Scientist for two years and also contributed to multiple other startups.\n\n[royce@pleom.com](https://royce@pleom.com)\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/f7582d53-5884-4d0b-89d8-529f93bbee86)\n\n",
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        "created_at": "2025-08-20T14:26:21.613Z"
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    "name": "Locata",
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        "full_name": "Alejandro Salinas",
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        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $250K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 92778,
        "title": "Locata - AI Referral Management for Health Centers",
        "tagline": "We use AI to automate the entire referral loop including authorizations, patient communication and specialist follow-up.",
        "body": "Hey everyone, we’re [Alejandro](https://www.linkedin.com/in/asalinas21/) and [Josh](https://www.linkedin.com/in/joshua-r-chang/) - cofounders of [Locata](https://www.locatahealth.com/) 👋\n\n**TL;DR**\n\nReferral management is one of the most time-consuming and error-prone tasks in healthcare. Locata eliminates that burden by automating the entire process with AI. This helps health centers streamline their operations, reduce costs, and ensure patients get timely care.\n\nhttps://youtu.be/IwyUifa8MnE\n\n## ❌ The Problem\n\nReferrals are one of the most critical, yet most broken, parts of the US healthcare system. Health centers are required to track specialist referrals to ensure continuity of patient care and meet quality standards. **But with limited staff and overwhelming administrative demands, health centers struggle to keep up, leading many to outsource the work.**\n\n**Consequences:**\n\n* High error rates in referrals\n* Denied authorizations and delays in specialist appointments\n* Wasted time manually copying data between various systems\n\n**Impact:**\n\nThese operational inefficiencies create major **financial risks** for health centers. On top of the resources centers already deploy to manage referrals, failure to effectively close the loop puts quality standards in jeopardy, carrying even greater financial implications.\n\n## [👷](https://emojipedia.org/construction-worker) Our Solution\n\nLocata uses AI to automate the referral management process from end-to-end. Imagine having a team of the world’s best referral coordinators that operate with higher accuracy, lower costs, and faster delivery, giving health centers the capacity to scale on demand and close more referral loops.\n\n* **AI auth submission**: Our AI extracts patient data directly from EHRs, intelligently maps it to the correct authorization forms across different payor portals, and submits requests automatically.\n* **Automated status updates:** We monitor authorization status continuously, with automatic notifications sent to staff for cases requiring urgent attention.\n* **Voice AI patient follow-up:** Our Voice AI calls patients on customizable cadences to monitor whether they’ve made a specialist appointment. Our system alerts staff when they need to step in to offer additional support.\n* **Consult note retrieval**: Once a patient confirms an appointment, our AI automatically contacts specialists, requesting consult notes to effortlessly close the loop.\n\nWithin two weeks of building our product, we signed a major regional health center and are taking them live to automate their entire referral workflow.\n\n## 🙏 Our Ask\n\n* We would love introductions to physicians or administrative staff at health centers. Contact us at [**founders@locata.ai**](mailto:founders@locata.ai).\n* Learn more at [**locatahealth.com**](http://locatahealth.com)\n\n## 👫 The Team\n\nAlejandro and Josh have known each other for almost 10 years.\n\nAlejandro was a senior software engineer at Meta’s Reality Labs, where he led AI projects that resulted in a patent submission. He holds a BS degree in Computer Science from Stanford University. As an undergrad, he conducted AI research at Stanford Medicine and shadowed doctors internationally.\n\nJosh was a software engineer at Google, working on AI products that served over 1 billion users. He holds BS & MS degrees in Computer Science from Stanford University. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcVZU3FQirEU_QuCAYPL2Xw4G4s1QrbEaxCqUFuSG5YG_QQ0lRcCjMSgbEiwEa-7LbYq461m2f3Oy6p4mSvgv_2bDdpKAxbZ26uCIhrtGsl6o-4nnt3X0U_XjYhmvXHr6onkiJP?key=-A3E_ylVo9SV_eklWajCuw)\n\n",
        "url": "https://www.ycombinator.com/launches/O8Q-locata-ai-referral-management-for-health-centers",
        "votes": 68,
        "created_at": "2025-08-07T03:03:30.153Z"
      }
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    "id": 30755,
    "name": "Pally",
    "slug": "pally",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/849f2561c7a883d8d5d6523f27f8404ee02820ed.png",
    "website": "https://pally.com",
    "all_locations": "San Francisco, CA, USA",
    "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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      "America / Canada"
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pally.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/pallyai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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      {
        "user_id": 978619,
        "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",
        "x_url": "https://www.x.com/hazhubble",
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      {
        "user_id": 1287862,
        "full_name": "Wyatt Lansford",
        "title": "Founder/CTO",
        "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.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/wyattlansford",
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      {
        "id": 91579,
        "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"
      }
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    "id": 30756,
    "name": "Notte",
    "slug": "notte",
    "former_names": [
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      "Nottelabs"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63003c4a4bcce138151403c1e186fcebf3dfa34a.png",
    "website": "https://www.notte.cc/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Notte is cloud browser infrastructure for AI agents. Sessions with live view and replays, residential proxies, stealth and CAPTCHA solving, authenticated profiles with account creation and 2FA, payments in the browser, and serverless functions that run next to the browser, all through one API",
    "one_liner": "Browser infra for AI agents: sessions, auth, proxies, payments",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752518156,
    "tags": [
      "Developer Tools",
      "API",
      "Automation",
      "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",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/notte",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/notte.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nottelabsinc/",
    "x_url": "https://x.com/nottecore",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/nottelabs",
    "github_url": "https://github.com/nottelabs/notte",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/63003c4a4bcce138151403c1e186fcebf3dfa34a.png",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 2385904,
        "full_name": "Andrea Pinto",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Nottelabs",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pinto-andrea",
        "x_url": "https://x.com/ogandreakiro",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e922f0aa6636612bd86c44857b540590f563ec1.jpg"
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      {
        "user_id": 2782127,
        "full_name": "Lucas Giordano",
        "title": "Founder/CTO",
        "founder_bio": "Founder & CTO @ Nottelabs",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/giordano-lucas/",
        "x_url": "https://x.com/lucas_gdno",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a38dedb494cc5b77003b77c0c2fe58aea2bf109a.jpg"
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    "launches": [
      {
        "id": 93601,
        "title": "Nottelabs: Web Agents for Enterprise",
        "tagline": "Reliable Web Agents that can act and scrape on any site at scale",
        "body": "**TLDR;** Notte provides a platform to build and deploy web AI agents that don’t break. We turn messy, repetitive web tasks into reliable, self-healing workflows so businesses can scale automation with confidence.\n\nhttps://www.youtube.com/watch?v=uwTOpQTUfyk\n\n**Context**\n\nWe built Notte because the web was made for humans, not AI agents. Our first product was a perception layer that helps LLMs parse and understand site structure, boosting agents’ performance. But 90% isn’t enough to scale enterprise workflows with confidence.\n\n**Agent Workflows**\n\nThat’s why we launched **Agent Workflows** - where web automation meets agentic reasoning. Start an agent to discover the workflow, freeze the routine into deterministic steps, and keep agents only where it’s needed to unlock new capabilities. If a site changes, agents dynamically close the gap to ensure workflows never break.\n\nLess tokens = Less expensive = More control = Faster automation\n\n**Full-stack Ecosystem**\n\n* **Hosted Sessions** - Stealth mode and auto-scaling browser\n* **Vaults** - Credentials, MFA tokens, SSO, and cookies securely\n* **Personas** - Emails and phone numbers for account creations\n* **Payments** - Credit card payments and agentic transactions\n* **Misc** - File IO, Replays, CDP compatibility, etc.\n\n**The founders**\n\n![uploaded image](/media/?type=post&id=93601&key=user_uploads/2385904/142c16f2-bc85-464a-9b5d-63f84caa5549)\n\nHey - We’re **Andrea Pinto** and **Lucas Giordano**. We’ve known each other for 6 years and bring deep technical expertise. We led ML and LLM research at MIT, Oracle, and IBM Research, and have spent years building in the web automation space.\n\n**Asks -** SIGN UP here: https://console.notte.cc/ and shoot us a message with the hard web workflows you’re trying to address and we’ll solve them with you. Email: [founders@notte.cc](mailto:founders@notte.cc)",
        "url": "https://www.ycombinator.com/launches/OLh-nottelabs-web-agents-for-enterprise",
        "votes": 82,
        "created_at": "2025-09-04T19:52:00.082Z"
      }
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    "id": 30758,
    "name": "Hera",
    "slug": "hera-video",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74b33eae20672c87a08f3ca790501128e2c07280.png",
    "website": "https://hera.video/",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Hera is an AI motion designer that turns 5-hour projects into 5-minute tasks. \r\n\r\nWhen you're a YouTuber making an infographic animation, instead of spending hours manually clicking buttons in Adobe After Effects, you can create the same animation in minutes in Hera. \r\n\r\nThrough talking to our users, we realized that 95% of time spent on motion graphics is manual button clicking, not creative work. This insight led us to focus on automating the tedious parts while giving the user all creative control.\r\n\r\nWe launched in May 2025, got 100k waitlist signups in 8 weeks, and we're doubling revenue monthly.",
    "one_liner": "AI Motion Designer",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1751591849,
    "tags": [],
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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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      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/hera-video",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/hera-video.json",
    "year_founded": 2025,
    "city": "Berlin",
    "country": "DE",
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    "primary_partner": {
      "name": "Jon Xu",
      "url": "https://www.ycombinator.com/people/jon-xu"
    },
    "founders": [
      {
        "user_id": 1855660,
        "full_name": "Peter Tribelhorn",
        "title": "Founder/CEO",
        "founder_bio": "Building Hera to make motion design radically faster and easier. Previously acquired and managed big YouTube channels with +30m subs (e.g., Economics Explained, The Game Theorists).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peter-tribelhorn-36a967142/",
        "x_url": "https://x.com/tribelhorn23",
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      },
      {
        "user_id": 1260840,
        "full_name": "Chia-Lun Wu",
        "title": "Founder/CTO",
        "founder_bio": "Building Hera, an AI motion designer.\n\nI was the first engineer/employee at Flagright (YC W22), where I built and led core infrastructure from the ground up and scaled it. I was also an early engineer at Vyond, where I built Vyond Studio, an online video editor used by 20,000 businesses today.\nI hold an MS in Computer Science from National Taiwan University (NTU) and have been working in software engineering since 2016.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chialunwu/",
        "x_url": "https://x.com/leowuhera",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69a1880f53fad66c9e27c12915a45ec3fce99fd2.jpg"
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    "jobs": [
      {
        "id": 80349,
        "title": "Founding Software Engineer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/sHCLYOi-founding-software-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (San Francisco, CA, US; New York, NY, US; TW)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "€90K - €130K EUR",
        "equity_range": "0.50% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 83656,
        "title": "Founding AI Engineer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/itTRHs0-founding-ai-engineer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / San Francisco, CA, US / New York, NY, US / TW / Remote",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "€80K - €130K EUR",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 83657,
        "title": "Founding Product Designer",
        "url": "https://www.ycombinator.com/companies/hera-video/jobs/3YpF3GY-founding-product-designer",
        "location": "Berlin, BE, DE / Berlin, Berlin, DE / Remote (New York, NY, US; San Francisco, CA, US)",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "€80K - €130K EUR",
        "equity_range": "0.75% - 1.50%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92051,
        "title": "Hera: Your AI Motion Designer",
        "tagline": "Hera is an AI motion designer that turns 5-hour animation projects into 5-minute tasks.",
        "body": "Hi 👋 We’re [Chia](https://www.linkedin.com/in/chialunwu/) and [Peter](https://www.linkedin.com/in/peter-tribelhorn-36a967142/), the founders of [Hera](https://hera.video/). \n\n**TL;DR:** \n\nCreating motion graphics is time-consuming and requires complicated software. Hera uses AI to make motion design radically faster and cheaper, helping users create over 50,000 animations to date.\n\n**Problem: Motion design is complicated, time-consuming, and expensive**\n\nPeter used to build YouTube channels and produced more than 240 videos. He spent thousands of dollars every week hiring motion designers to create infographics, text animations, or map animations. \n\nThere he realized that motion design is mostly about mastering complicated software with many buttons, not actual creative work. Here you can see how complicated, tedious, and time-consuming the leading tool, Adobe After Effects, is:\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfBBfbxFI5I7GiBZBOEs2INi6E036flopQFfG9kZfVBl7gTUHWNX_2jnls3WG_TDRrrQ4a7tkJ5VMTVm1PM_vU0tV0HqrUnARtO10kFq_kztNYLQfDbSo42g-82UnKfbIX6dtxuug?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nAfter talking to 130 video teams, ranging from YouTube channels, marketing agencies, and corporates, we learned:\n\n1. There is **no alternative to After Effects** to create professional motion graphics.\n2. **Mastering After Effects takes years** and watching countless tutorials/courses.\n3. Hence, **video teams hire expert motion designers.** \n4. And even for expert designers, it **can take hours to create seconds of motion design.**\n\n**Solution: Hera fills this gap by making motion design fast & easy**\n\nhttps://youtu.be/NFRllovZQS0?si=0gxZ2T4xQpTZrww6\n\nStart by describing your motion graphic in plain English\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXchUYGy7SO7-gjW07OdYD_6Os16OVlcVD6uCo28jPnuH85s0Potn0URq441tpUUPQOAx2xmX5Yqn7-cUokmO1nPRwnGE2RoIXspXqkhc9XBHzvveGdbA-LuUhN6pyixDxnsVeBG?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nYou can tweak it as you like with on-canvas editing\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf6vvFbbkBwRX9SNH6hGwOV56iU_Mgwps_OccAIm53W4RK_sProVckXJr1hq1ZDxSZrM2RMXnHpkQV6l7SwV1zH4tl7zh6iyljCbYtV3M7lRJw4PxA97Uq1A7TVrlF2ZxEytwt2?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nPick an already created animation from other users and customize it\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdhIJIFYIA0rMSOiojS2b2sAOEn8bi9FFkNkxWrbfwBdMBC117t0ZKWOm44KWK8ue8OiBsKnSgoso2CKrlrybZQOK4-kjwYtq7LawTqFOv7ZDCS2OsuC3xe23RZoauto0IQJC0m?key=ucB-AG1uSNxOnV5yBE4xiA)\n\nCreate your custom brand kit and all your animations will stay on-brand\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfPO2y1hf2SAli6G7Suqh74NJ2erroMQNOvItSUrDZU8auZBUrMz68smd_fwa9yQIgkp2h7gNZWWiDhtLwgn3Q9DonrtZhuzyxkPWATsDD3_T_aOggWiph_lLCjDcvu-y9WPuEPQA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Customers: Everything changed the day we couldn’t stop people from using Hera**\n\nTwo months ago, we launched Hera to creators in our network. People started talking about Hera on the internet, and we got 3,000 users who created more than 15,000 animations within one week.\n\nToday, we have more than 100k people on our waitlist asking for access (and some are even selling invite codes).\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdUpV6khJm6kOtoe-ks_d3RXXDl1u2A6sZPP8IDvC-F9pTYhiMHNtdrR2HxOCUb78qwOUf2E262ovKLBvvd7c3RT9-iq8qmQXfxtsgERRz7R0NOfwpqLtk1CZbJJcwRL1ca0LiNNA?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n**Our Ask: If you answer “yes” to any of these, we’d love your help:**\n\n* Do you produce video content in-house and either already incorporate motion graphics or would like to incorporate motion graphics? \n* Can you introduce us to marketing/advertising agencies that focus on creating video advertisements? \n* Can you introduce us to video publishers (e.g., traditional publishers, YouTube channels, influencers) who might be interested in making motion design faster and cheaper?\n\nSkip the waitlist and try out Hera today: https://hera.video/join/yc\n\n👉 Contact us at [peter@hera.video](mailto:peter@hera.video)\n\nYour help can make a huge difference. **Thank you!**\n\n**Team: We know our customers and tech inside out**\n\nPeter acquired and built leading YouTube channels with +30 million subscribers at Lunar X (e.g., Economics Explained, Game Theorists). He produced +240 videos and spent thousands every week on motion designers.\n\nChia was one of the first developers at Vyond, a leading video editing solution, where he built Vyond Studio, a full-featured, drag-and-drop online video editor that is used by 20k businesses today.\n\nWe have been friends for 5 years and decided to build something together last summer.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdANyVcVkBVfrTT1t5kFkP-JSZ6Lgas72QTZ0Lq-zX36Iwzai3h7O-o2FfDnFk8fM3Zq8-sgHdFPZNa4Bis9IA_byzj_4Ysp5hT6KLsJ3qR8DDFHpmbWzbUalNkQ2rlmLmARab7Iw?key=ucB-AG1uSNxOnV5yBE4xiA)\n\n",
        "url": "https://www.ycombinator.com/launches/Nwh-hera-your-ai-motion-designer",
        "votes": 380,
        "created_at": "2025-07-10T21:24:31.293Z"
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    "id": 30759,
    "name": "Certus AI",
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    "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.",
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    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B",
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    "url": "https://www.ycombinator.com/companies/certus-ai",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104576510/",
    "x_url": "https://x.com/certus_ai",
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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/",
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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/",
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      {
        "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",
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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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    "batch": "Summer 2025",
    "status": "Active",
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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",
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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_",
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      },
      {
        "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"
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    ],
    "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",
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        "experience": "1+ years",
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      },
      {
        "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",
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      {
        "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",
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      },
      {
        "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",
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    ],
    "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",
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        "created_at": "2025-08-17T04:29:07.122Z"
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    "long_description": "Kernel is crazy fast, open source infra for AI agents to access the internet 🧠🕸️\r\n- Built on unikernels for crazy fast cold starts and low resource usage\r\n- Sub-150ms cold starts on managed headful browsers\r\n- Built-in stealth mode with residential proxies and automatic CAPTCHA solving\r\n- Full observability: session recording, live view, and full logs\r\n- Persistent sessions that maintain cookies and auth across invocations\r\n- Native support for all browser and computer use frameworks\r\n- SOC 2 compliant and HIPAA-ready\r\n\r\nTrusted by Cash App, Rye, and 1000+ others. Backed by Accel & Y Combinator (S25).",
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        "full_name": "Catherine Jue",
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        "full_name": "Rafael Garcia",
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        "body": "Hey everyone! We’re Catherine and Raf, the founders of Kernel.\n\nhttps://youtu.be/vexAn3_KYvc\n\n# **🤝 TLDR:**\n\nWe make an API to instantly launch browsers in the cloud so AI can use the internet just like humans do.\n\n# **🚀 What’s Kernel?**\n\nKernel is the best place in the world to launch web agents and browser automations. We handle the hard parts of running browser infrastructure in the cloud so you don’t have to: spinning up browsers quickly, responsive read/write live view, logs, headless vs. headful mode, residential proxies, and more.\n\nOur edge is an infrastructure platform that’s **flexible, observable, and insanely fast** from day one:\n\n* **Performance** - web automations and Computer Use agents can launch and connect to Kernel browsers in 300 milliseconds\n* **Isolation x telemetry** - Kernel browsers run in isolated virtual machines and ship with live views & replays so you can see exactly what your agent saw and take control when needed\n* **Agent runtime** - launch your web agent on Kernel’s code execution platform to seamlessly connect it to a browser in the cloud\n* **Simple, clear pricing** - pay only for the resources you use. Our straightforward pricing model makes it easy to predict usage costs\n\n![uploaded image](/media/?type=post&id=92607&key=user_uploads/101761/f06a340f-9752-48c9-a20a-f952e18c403e)\n\n# **⚡️ How does it work?**\n\nKernel’s API makes it simple to launch browsers in the cloud and automate anything on the internet. **We work with any browser/web agent framework**: **Playwright, Puppeteer, Browser Use, Magnitude, and more.** Users love our platform for:\n\n* Instant **browser spin-ups** on-demand\n* **VM logs & read/write live view**\n* Video **replays**\n* **Browser session** reuse\n* **Residential proxies** and auto-CAPTCHA solvers\n* **Turn any agent into a https endpoint** — we host your agent, you invoke it on-demand with a prompt\n* & much more soon!\n\n# **👨‍💻👩‍💻 The Team**\n\nRaf and Catherine started Kernel from the shared belief that cloud infrastructure can be 100x better. We believe that well-designed, opinionated tooling unlocks superpowers, and we’re passionate about building best-in-class infrastructure for the next generation of AI applications.\n\nBefore starting Kernel, Raf was the co-founder/CTO of Clever (YC S12), which exited for $500m in 2021. Catherine was the co-founder of Sway Finance (YC S16) and most recently led Cash App’s team of forward deployed engineers and Cash App’s docs platform.\n\n# **🙏 Our Ask**\n\nIf you:\n\n* Run **browser automations**\n* **Built a web agent locally** and want to run it in production\n* Maintain **browser containers** but want to outsource the infrastructure because it’s not core to your IP\n\nCheck out [our platform](https://www.onkernel.com/) to sign-up, or schedule a demo with us [here](https://calendly.com/d/cwr7-xxq-m45).\n\n![uploaded image](/media/?type=post&id=92607&key=user_uploads/101761/bdc37fff-37ff-4eea-8a25-8bb544e1ba51)\n\n",
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        "created_at": "2025-07-31T16:55:43.448Z"
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    "long_description": "Rebulk builds AI-native software for rail, transload, and bulk operations. We help teams manage railcars and trucks, transloading, maintenance, yard switching, railcar tracking, bulk inventory, documents, customer reporting, and billing.\r\n\r\nMuch of this work still runs on spreadsheets, paper tickets, phone calls, and disconnected legacy systems. That means teams spend too much time entering the same information twice, tracking down paperwork, figuring out where railcars and inventory are, and putting together reports by hand. Rebulk brings that work into modern software built around how each business actually operates.\r\n\r\nWe’ve lived this problem, and we know how to build for it. Warren previously led product at a Series A supply chain software startup, where he worked closely with companies moving and managing bulk commodities. Cole was engineer #3 at Tropic, helping scale it from seed to Series B, and later led engineering at an AI startup.\r\n\r\nRebulk runs operations at Venezia Transport, Usher Transport, Cicada Logistics, McDonald Farms, and TransloadX across transloading, rail maintenance, switching, railcar tracking, and bulk inventory.",
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    "team_size": 3,
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        "full_name": "Warren Wijaya Wang",
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        "full_name": "Cole Robertson",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Rebulk. Previously Head of Engineering at Chipp, an AI startup, and engineer #3 at Tropic, where he helped scale the company from seed to Series B. Earlier experience includes developing aviation products at Garmin. Also built a SaaS consulting business focused on MVP development, generating $300K in just over a year. ",
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        "id": 92243,
        "title": "Rebulk - Accurately measure and monitor bulk inventory",
        "tagline": "We turn your bulk inventory into accurate 3D visualizations so you know exactly what’s on the ground and what's happening to it",
        "body": "👋 Hey all! We’re Warren and Cole -- co-founders of [Rebulk](https://rebulk.com)**.**\n\n**TL;DR**\n\nBulk inventory is hard to track. Most companies still rely on rough estimates or expensive surveys that often miss the mark. We built Rebulk to fix that. Our drones and cameras scan your site and create a precise 3D reconstruction, so you always know exactly how much material is on the ground. We’ve got real-world experience and are already working with a major ag distributor. Know someone in ag, mining, or construction who deals with bulk materials? Send them our way: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n**Problem**\n\nBulk inventory tracking is broken. Companies either rely on guesstimates or pay for expensive manual surveys which are still off by 20 to 30 percent. Without accurate numbers, it’s hard to plan logistics, like how many truckloads are needed. And it creates accounting issues by misreporting inventory value, hurting financial planning and leading to missed opportunities.\n\n**Solution**\n\nRebulk figures out what your inventory is, turns it into a 3D reconstruction, and tells you exactly how much you have, in both volume and weight. If your piles are smaller and indoors, like in a shed, we’ll use a fixed camera. If they’re bigger and outside, we’ll fly a drone to map them. And we don’t just stop at giving you the numbers. We plug into your system so the data helps you make real decisions, not just sit in a spreadsheet.\n\n**The Team**\n\nWe’ve lived this problem, and we know how to solve it. Warren saw it firsthand as a Product Manager at Milk Moovement, a Series A AgTech startup, working closely with bulk feed suppliers and managers to plan logistics. He also launched drone delivery programs at Chick-fil-A.\n\nCole was Head of Engineering at an AI startup and engineer #3 at Tropic, where he helped scale the company from seed to Series B. He started his career building aviation products at Garmin. That mix of hands-on technical work and leading high-performing teams is exactly what we need to build reliable tools that work in the real world.\n\n![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/d97fecbc-12a6-4b7e-8828-2699d3a17af9)\n\n**Traction**\n\nWe’re already working with one of the largest agricultural feed distributors to roll out our solution.\n\n**Ask**\n\nIf you know anyone in agriculture, mining, or construction who works with bulk materials, let us know! Even if it’s something we haven’t mentioned, or if you’re not sure counts as bulk inventory, we’d still love to learn more. We’re always curious and often surprised by the types of bulk inventory that don’t live in traditional boxes and barcodes.\n\nContact us at: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/6a28a0db-9489-4b8a-943f-7e096519535f)\n\n",
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        "title": "Okibi - Agent-ready CLIs",
        "tagline": "Turn your product into a CLI, and agents into customers",
        "body": "Hey everyone, we're Mahyad and Saurav, the founders of Okibi.\n\n**TL;DR** [Okibi.ai](http://Okibi.ai) turns your product into a CLI, so AI agents can use it just like your users do.\n\nAgents are becoming the main users of our apps and softwares, but most of those products still aren't designed to be fully usable by agents.\n\nDoorDash, Mercury, Gusto, and 30+ others have already launched agent-ready CLIs.\n\n**Okibi generates yours.**\n\n<https://youtu.be/LANzB5DZ7_s>\n\n### **Problem**\n\n**The shift.** Work has quietly moved into agentic tools like Claude and Codex. The person who used to open your app now sends their agent. Agents create 90% of new Supabase databases and 2/3 of Mintlify docs traffic.\n\n**The gap.** Agents can read everything, but signing up, configuring a project, or placing an order, is another story. With MCPs, you'll give the agent too many tools at once and it'll start using the wrong ones. With direct API calls, the agent has to individually call endpoints for complex workflows or polling loops.\n\n**The turn.** Claude Code and Codex proved it; agents do their best work in the terminal, and a CLI is how your product shows up there. No tools need to load up front, because agents can discover what they need when they need it through progressive disclosure with --help, and all complex workflows are pre-built so it doesn't have to figure it out on the fly.\n\n**The proof.** Companies are already shipping agent-ready CLIs. Even Notion, with one of the best-known MCP servers, shipped one.\n\nAn agent that struggles to use a product will go to a competitor that it won't struggle with.\n\n**Okibi is how you become that competitor.**\n\n### **How it works**\n\nBuilding a toy wrapper CLI is easy. Building an agent-ready production CLI is a different story.\n\n**Research.** Okibi **reads all of your APIs, SDKs, MCPs, and researches similar products** to yours and defines the standard for your product's commands.\n\n**Build.** We build your entire product as commands in a CLI, with structured JSON output, descriptive errors, and dry-runs with input validation.\n\n**Customize.** You can keep customizing the commands that are generated through our agent.\n\n**Verify.** This isn't just \"it compiles\". Commands run in a real sandbox, the outputs are checked, and **the CLI is fully evaled for agent use.**\n\n**Ship.** You get a compiled binary with a skill file baked in, so an agent that installs it already knows how to use your product.\n\n**Maintain.** Whenever your product updates, **Okibi mints the changes and maintains your CLI for you.**\n\n**Identity.** Even with a CLI, an agent can't set up an account for your user. With **Okibi Identity, the agent can set up the account** and continue working uninterrupted. And that's how you get agents as customers!\n\n![uploaded image](/media/?type=post&id=114523&key=user_uploads/539005/aaf9f512-390f-4a14-85ca-9bfb8db5a29c)\n\n### **About us**\n\nWe've been building software together for almost a decade, and this is our second YC startup. At SigmaOS (S21) we built the first browser with built-in agents. Since then, every time we wanted our agents to use a product, we generated a CLI for it, since MCPs weren't enough for the job. It happened enough times that we're now building it for everyone.\n\n### **Our ask to you**\n\nIf you are building a product that you want agents to use, **please reach out to us**! We would love to learn what you are building and how you are letting agents use your product.\n\nYou can also head over to [okibi.ai](http://okibi.ai) to turn your product into a CLI\n\nBook a call: <https://calendly.com/m-cal-uvfs/okibi-customer-call>\n\nEmail: [m@okibi.ai](mailto:m@okibi.ai)",
        "url": "https://www.ycombinator.com/launches/Tn9-okibi-agent-ready-clis",
        "votes": 34,
        "created_at": "2026-09-10T14:09:32.663Z"
      },
      {
        "id": 92336,
        "title": "Okibi | The agent that builds agents 🤖",
        "tagline": "Effortlessly build automations and agents using simple prompts",
        "body": "Hey everyone 👋\n\nWe are [Mahyad](https://x.com/MahyadGhassemi) and [Saurav](https://x.com/thesauravmitra), the co-founders of [Okibi](https://okibi.ai)\n\n# TL;DR\n\n**Okibi is a web app that lets you create AI agents using natural language**. You can think of it as Lovable for Agents.\n\n**Our ask:** try it out [@ijustwannabuild.ai](https://ijustwannabuild.ai), and [book a call with us](https://calendly.com/d/cq3k-yhy-g6d/user-interviews)! We’d love your feedback and what kind of agents you need for your company\n\nhttps://youtu.be/3cZWA9SAohM\n\n# ❌ The problem and why we care to solve it\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/cd13cafb-1a52-4dba-a8d7-92d71516dbfa)\n\nThe two of us have been **building software for over 10 years** and **working together for the past 7.** Actually, This is also **our second YC startup together**. At our previous company, SigmaOS (S21), where we built the first browser with built-in agents, we **ran into a ton of repetitive tasks** and **had to build many agents for our own product**. Automating those tasks was **slow and complicated**. We often ended up doing things manually or relying on partial solutions like Zapier, Lindy, custom scripts, or hacked-together LLM tools. The agents we did build for our product also eventually became **messy and hard to maintain**.\n\nCreating AI agents typically requires **complex**, **time-consuming** **setup**, including **tool calls**, **LLM syntax management**, **multi-agent orchestration**, **browser use**, **human in the loop**, **evals**, and **hosting deployments**.\n\nSo, when building agents two primary challenges always come up:\n\n* Evals\n* Architecture and Infrastructure\n\n# **✅ How Okibi solves it for you**\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/e323bc33-463f-42f7-ad7a-daf85d3ceb03)\n\n\nOur web app provides a **chat interface and toolkit to easily create AI agents**. Just describe your agent in natural language, similar to vibe coding, and our app **automatically generates your agent's tool calls, human in the loop, browser use, and runs an initial eval on your agent.**\n\nWhether you're building an **internal workflow automation** to remove repetitive or time consuming tasks, or **launching a product with** **agents**, Okibi can help you build it.\n\nWe are currently **working with** **15 YC companies** from the current and previous batches to automate tasks like:\n\n* Pre-qualify companies with the right person at those companies to sell your product to\n* Generate invoices and update their invoice trackers based on email and contract\n* Pre-meeting prep for client or sales lead call\n* Generate pricing and proposal based on meeting notes and existing contracts\n\nhttps://www.loom.com/share/2c038ed7243a4984a0b8224c2e24eacb?sid=cec442cb-88cf-4b75-b9bf-84b7fa3618de\n\n# 🤖 Ready to start automating with agents?\n\nHead over to [ijustwannabuild.ai](https://ijustwannabuild.ai), and…\n\n![uploaded image](/media/?type=post&id=92336&key=user_uploads/539005/3a716ad3-1715-4646-a37a-80045f928406)\n\n",
        "url": "https://www.ycombinator.com/launches/O1I-okibi-the-agent-that-builds-agents",
        "votes": 155,
        "created_at": "2025-07-21T21:10:06.804Z"
      }
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    "id": 30769,
    "name": "Juxta",
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    "website": "https://juxta.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Juxta is creating the first Universal Positioning System (UPS) — a GPS alternative that can monitor movement anywhere on earth with no new hardware, minimal internet connection, and remote deployment. Using custom machine learning models and a first-of-its-kind synthetic fingerprinting technology, Juxta can make any indoor, outdoor, or underground space location-aware in minutes for a fraction of the cost of any other geospatial technology.\r\n\r\nJuxta's UPS can be leveraged across industries — from securely tracking soldiers in combat zones to providing offline positioning for robots to offering asset tracking in warehouses and ports around the globe.",
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        "user_id": 1967850,
        "full_name": "John Ferrara",
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        "founder_bio": "Prev. Northwestern data science + journalism; CEO at Juxta, working to create the next frontier of asset and personnel tracking!",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ferrara-john/",
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        "id": 105582,
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        "url": "https://www.ycombinator.com/companies/juxta/jobs/goX2NaF-data-collection-processing-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
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      {
        "id": 91937,
        "title": "Juxta — a GPS alternative 100x more powerful, with zero external hardware.",
        "tagline": "Track anyone, anything, anywhere on earth in an instant.",
        "body": "Hi! We’re building Juxta — a new way to track people and things anywhere around the world with zero external hardware required (i.e. satellites, beacons, free-floating chips, etc). We let businesses, defense agencies, and consumers instantly map an area and make it location aware in minutes. It’s super cheap, can work offline, is unjammable, and has truly universal coverage.\n\nhttps://youtu.be/9A8X8NIbPBM\n\n**Why current tracking methods don’t work**\n\nMost tracking technologies today fail where people actually live and work. Over 90% of human activity happens indoors, yet GPS simply doesn’t function in enclosed spaces, and beacon systems like BLE or UWB cost upwards of $250,000 per site to install and maintain. Even outdoors, GPS breaks down in forests, dense urban areas, warzones, and remote regions—anywhere signal is weak, jammed, or obstructed. These limitations make traditional tracking systems expensive, unreliable, and fundamentally incomplete for real-world use.\n\n**Introducing the Universal Positioning System (UPS)**\n\n* Zero hardware, all on-device.\n* **Remotely deployable: map anywhere _from_ anywhere**\n* **Works anywhere: indoors, outdoors, underground.**\n* Capable offline, unjammable, end-to-end encrypted.\n* Tracks anything with an IMU: phones, robots, vehicles, machinery.\n* Juxta delivers GPS-level (or better) accuracy at a fraction of the cost — with 10x the global coverage.\n\n![uploaded image](/media/?type=post&id=91937&key=user_uploads/1967850/5c399c68-3b89-4f55-b150-21d0e11d6ce9)\n\n**How UPS works**\n\n1. Upload floorplans or satellite imagery to our web portal.\n2. We vectorize layouts, generate 3D spaces, and simulate millions of hyper-realistic movement paths.\n3. AI trains on this synthetic data to reduce drift.\n4. Models deploy directly to user devices — **no manual setup or hardware required.**\n\n**It already works and has tons of applications**\n\n* _Defense:_ Track personnel/assets in the field — no signals needed or frequencies emitted.\n* _Robotics:_ Signed deals with companies like RC Mowers needing non-visual, offline positioning.\n* _Warehousing/Logistics:_ Track assets in ports/facilities with no beacon install.\n* _Healthcare:_ LOI signed to track patients via existing medical monitors.\n\n**Get started with hardware-free, remotely deployable tracking…**\n\n* Book a demo at: [usejuxta.org](http://usejuxta.org)\n* Email me: [john@usejuxta.org](mailto:john@usejuxta.org)",
        "url": "https://www.ycombinator.com/launches/Nur-juxta-a-gps-alternative-100x-more-powerful-with-zero-external-hardware",
        "votes": 70,
        "created_at": "2025-07-08T17:28:20.352Z"
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    "name": "Flywheel AI",
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    "website": "https://useflywheel.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Flywheel AI converts any existing excavators for contractors to enable remote ops to increase safety and productivity, and use robotics context dataset to train autonomous policies.",
    "one_liner": "Waymo for excavators",
    "team_size": 2,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1750156128,
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    "year_founded": 2023,
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        "full_name": "Jash Mota",
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      {
        "id": 92796,
        "title": "Flywheel AI: Waymo for excavators",
        "tagline": "Enable remote teleoperation in excavators to increase safety and productivity",
        "body": "Hey everyone! We’re[ Jash](https://linkedin.com/in/jashmota) and[ Mahimana](https://www.linkedin.com/in/mahimanabhatt/) - co-founders of Flywheel AI - we enable remote control for excavators on construction sites.\n\nWe do this by enabling remote teleoperation. We then use the teleoperated excavators to collect the datasets needed to automate the machines.\n\nhttps://youtu.be/Kpbor3M6Mr8\n\n**🚧Problem**\n\nConstruction industry has some troubling trends:\n\n* **1 million worker shortage** in the US alone\n* **1000+ deaths annually** from safety incidents (and rising)\n* **Hundreds of thousands in penalties** + multi-week shutdowns per incident\n* **40% operational downtime** due to blind spots and inefficiencies\n\nIt’s **Dull, Dirty, Dangerous**, dialed to the max!\n\nThe problem is global and getting worse as the workforce ages and recruitment plummets.\n\n**👷The Flywheel Solution**\n\n**🚜Retrofit**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/4e9829e3-a90f-4d93-b08f-d17cb961ea7f)\n\nWe engineered a new way to retrofit heavy equipment, which is machine-agnostic and compatible with pretty much any hydraulic equipment. These can be installed in few hours and don’t block manual operations.\n\n**🕹️Remote Teleop**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/cb9452e8-c8eb-4b0f-9a2f-37cfb58a1314)\n\nWe built a low-latency remote teleop + dataset collection platform with the ability to remotely turn on/off the machines and let supervisors take over at any time. This enables controlling the fleet even from a minimal setup of laptop and joysticks.\n\n**⚡Workflow Autonomy**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/a75da0c3-ee2b-4b86-9f6f-5108e7a5423b)\n\nWe use data from actual operations and robot learning to train models which does various tasks like dig and dump, trenching, grading and more. This will enable a single operator to manage more machines and sites at the same time.\n\n**We’re Flywheel AI**\n\n![uploaded image](/media/?type=post&id=92796&key=user_uploads/367031/e752210f-530c-4dd4-9b25-475ea1137089)\n\nJash previously built remote teleop tool with companies like Accenture as users. Mahi built the data and ML pipeline at Motional which runs over 50K simulations everyday. Together we have built various robots and spent many hours on the sites in hard hats and safety shoes!\n\n**Our Ask**\n\nIf you or a construction contractor/sub-contractor you know struggles with site safety and operator performance,[ book a meeting](https://calendly.com/jash-mota/flywheel-sales) to learn more about our solution and installation process!\n\nCall us at 415 714 7580 or email at [contact@useflywheel.ai](mailto:contact@useflywheel.ai)",
        "url": "https://www.ycombinator.com/launches/O8i-flywheel-ai-waymo-for-excavators",
        "votes": 161,
        "created_at": "2025-08-06T22:34:27.016Z"
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        "tagline": "Visually build your apps frontend right inside your browser on localhost.",
        "body": "# **TL;DR**\n\n**stagewise is a frontend coding agent for production codebases**\n\n→ ❌ No more tedious context switching\\\n→ 🤝 Works with all kinds of web app frameworks\\\n→ 🚀 Integrates into existing, production-grade apps\n\nGet started now on [stagewise.io](https://stagewise.io#quickstart) and use the code **STAGELAUNCH** to **get 25% off for 3 months**! 🎉\n\n‎\n\n# **WATCH THE DEMO**\n\nhttps://youtu.be/q7JFZBEfyjo\n\n---\n\n---\n\n# **ABOUT US**\n\nWe’re **Julian** and **Glenn**, and we’ve built **stagewise** because we wanted to quickly iterate on app frontends with AI - even if they’re not just simple prototypes anymore, but real projects.\n\n‎\n\n# **THE PROBLEM**\n\n**AI-powered app builders work great - until they don’t.**\n\nOnce you move into a production-grade project setup on your local machine, you lose the awesome experience of visually building your apps frontend with simple prompts.\n\nYou move from tools like **v0 or Lovable** to tools like **Cursor and Claude Code**, but there’s a catch.\n\n**AI code editors are** **not good at building frontends**, because:\\\n→ They don’t understand your apps user experience\\\n→ They don’t see your browser content, but only the codebase\\\n→ You have to switch between browser and IDE all the time\n\n‎\n\n# **THE SOLUTION**\n\nWith stagewise, we’ve developed an **open-source** and **framework-independent** toolbar that brings our frontend coding agent **right into your web app on localhost**.\\\n\\\nHere’s how it works:\\\n→ You prompt changes by clicking and commenting on elements in your app\\\n→ We automatically collect browser and app metadata\\\n→ The agent makes precise changes to your local codebase\n\nThe toolbar has already surpassed **4,800 GitHub-stars** ⭐️ and **130,000 downloads 📈**\n\n‎\n\n# **OUR VISION**\n\n_We believe that the best user experiences are built by **iterating fast** and putting yourselves **in the shoes of your user**._\n\n_Our product enables teams to do exactly that - and we continue to work on a future, where awesome production-grade user experiences can be built lightning-fast and without coding skills._\n\n‎\n\n# **JOIN OUR COMMUNITY**\n\n👾 [**Join us on Discord**](https://discord.gg/DjMqMnUVCh)\\\n𝕩 [**Follow us on X**](https://x.com/stagewise.io)\\\n**📬 Contact [Julian](https://mailto:julian@stagewise.io) or [Glenn](https://mailto:glenn@stagewise.io) via mail**\n\n![uploaded image](/media/?type=post&id=92464&key=user_uploads/2819631/ef40781f-3dfc-45ed-984e-f347f6c60e0c)\n\n",
        "url": "https://www.ycombinator.com/launches/O3M-stagewise-the-frontend-coding-agent-for-production-codebases",
        "votes": 88,
        "created_at": "2025-07-25T20:30:11.898Z"
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    "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.",
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    "subindustry": "B2B -> Sales",
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    "city": "San Francisco",
    "country": "US",
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "user_id": 353032,
        "full_name": "Sid Rajaram",
        "title": "Founder",
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        "full_name": "Rithvik Chuppala",
        "title": "Founder",
        "founder_bio": "Co-Founder at CLODO\n\nEx-Databricks, Google, Nvidia, Citadel. UC Berkeley EECS BS/MS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rithvikchuppala/",
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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",
        "votes": 14,
        "created_at": "2026-01-15T19:55:12.039Z"
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    "id": 30775,
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    "website": "https://fleetline.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.",
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    "team_size": 11,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1754335865,
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    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/fleetlineai",
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        "full_name": "Saurav Kumar",
        "title": "Founder/CEO",
        "founder_bio": "Optimizing and automating dispatch ops @ Fleetline",
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        "full_name": "Veer Juneja",
        "title": "Founder/COO",
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        "visa": "Will sponsor",
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      {
        "id": 91065,
        "title": "Founding Algorithm Developer",
        "url": "https://www.ycombinator.com/companies/fleetline/jobs/az5DIjt-founding-algorithm-developer",
        "location": "New York, NY, US",
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        "role": "Engineering",
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      {
        "id": 92822,
        "title": "Fleetline 🚛 Optimizing Fleet Planning with Data Driven Algorithms",
        "tagline": "Combining LLMs with advanced optimization to unlock algorithmic load planning for all fleets, in all situations ",
        "body": "# TLDR:\n\nToday’s fleets are **stuck between two failing approaches to load planning**: human dispatchers drowning in complexity (driver preferences, regulatory constraints, shifting schedules, and more) or inflexible algorithms blind to tribal knowledge and driver nuance. We solve this by combining advanced optimization with LLMs that can adapt algorithms to deliver intelligent planning for real-world operations. \\\nhttps://youtu.be/9LHYILVw6ks\n\n# **💥 The problem:**\n\nPlanning just one week of routes for a 50-truck fleet involves **more possible combinations than there are grains of sand on Earth**. For humans, consistently piecing together reasonable combinations is difficult. Making optimal ones is impossible. Dispatchers juggle:\n\n* Regulatory constraints, like drivers’ hours of service\n* Complex forecasts, like considering the likelihood of receiving a load from a flaky customer\n* And human preferences, like a driver’s disdain for a specific commodity\n\nThis complexity forces fleets to effectively **silo their operations**—assigning each dispatcher a subset of trucks to manage. **Instead of coordinating as a cohesive operation, fleets become mini-operations, resulting in load mismatches and under-utilized capacity.** For a low-margin industry like trucking, those inefficiencies are the difference between making or missing payroll. \n\nIn response, some fleets have adopted expensive load planning algorithms. While these traditional solutions are a marginal improvement over manual work, they fail to meaningfully solve the problem. \n\nRigid algorithms operate like complete black boxes, often leaving dispatchers with a lack of confidence in their decisions. Deterministic algorithms cannot be responsive to the soft preferences of either the fleet or the driver. For example, dispatchers may have to reshuffle their planning board because an algorithm cannot optimize for a driver needing to be home early one day for his daughter’s recital. \n\nThat means the algorithm's recommendations are largely not followed or, if they are, drivers are left unhappy. With an active driver shortage, fleets can’t tolerate the latter. \n\nTrucking is a trillion-dollar industry, yet its biggest players have no good option for load planning. \n\n# **✅ The solution:**\n\n**Fleets no longer have to choose between two existentially threatening options with Fleetline.** By combining traditional advanced optimizations with LLMs, we created a solution that allows fleets to optimize their schedules while being adaptive to soft preferences and surprises. All users need to do is prompt our AI agent with any changes / added constraints to include in the optimization algorithm, and the load planning is re-done. \n\nFor example, if a driver at a fleet needs to make it back home by 2 PM on a given Tuesday to see his daughter’s recital, instead of manually scrambling the planning board, our AI agent can re-optimize around the new constraint. \n\nWe’re already working with large fleets in California and talking to others across the country.\n\n# **🏋️‍♂️ The team:**\n\nSaurav and Veer are lifelong friends who have been working on projects together since they were 14. Saurav graduated from UIUC and has worked at Icon, Meta, and Nvidia, and is a previous founder (Blast AI). Veer was pursuing his master’s at USC, was a nationally ranked high school and college debater, and is an exited founder. \n\nWe’re excited about building revolutionary tech for a trillion-dollar industry that is functionally the backbone of the country. \n\n# **📈 Vision:**\n\nA dynamic algorithm unlocked by LLMs will allow fleets of any size to find value in our optimization software. \n\n### **Our ask:**\n\nPlease let us know if you have any connections at all in the trucking or logistics space 🙂\\\nWould also love to talk to anyone who has built RL environments or dynamic programming algorithms at scale!\n\n\\\nContact us at [founders@fleetline.ai](mailto:founder@fleetline.ai) ",
        "url": "https://www.ycombinator.com/launches/O98-fleetline-optimizing-fleet-planning-with-data-driven-algorithms",
        "votes": 30,
        "created_at": "2025-08-07T21:08:34.390Z"
      }
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    "id": 30776,
    "name": "Magnetic",
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    "website": "https://www.magnetictax.com",
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        "title": "📄 Magnetic - AI Tax Prep for CPA firms",
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        "body": "**TL;DR:** Magnetic scans taxpayer documents and enters them into tax software automatically, replacing data entry roles and reducing costly errors for CPA firms.\n\n**Ask**: Know a firm struggling with tax prep capacity? We’d love an intro.\n\nhttps://youtu.be/5--kYPgPLEM\n\n---\n\n**The Problem:**\n\nThe accounting profession is in crisis. CPAs and other tax professionals face a massive talent shortage as new grads abandon the field and experienced pros retire or sell their firms to PE. Firms are overwhelmed, working 80+ hour weeks during tax season, turning away clients, and missing deadlines - not due to a lack of work, but a lack of bandwidth. Many of the firms we talk to either don’t have a working website or don’t pick up the phone - because they can’t handle new clients.\n\nMost CPA firms still rely on manual data entry or expensive outsourcing services that are slow, error-prone, and hard to scale.\n\n---\n\n**Our Solution:**\n\nMagnetic automates tax data entry. We scan client docs - from handwritten donation notes to messy Schedule Cs and multi-state K-1s - and enter the data directly into legacy tax software like UltraTax, Drake, or ProConnect with 90%+ field-level accuracy (vs \\~50% from incumbents).\n\nThe agent can even reason over complex documents, reference the tax code, and perform calculations to handle nuanced scenarios like allocating tax-exempt interest across states for compliance with state apportionment rules.\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/0ae3eead-1899-4368-9b2c-84e45e502b29)\n\n---\n\n**Our Backgrounds:**\n\n**Thomas (CEO)**: Former Head of Product @ Keeper (YC W19). Built AI Turbotax + form scanning engine that powered thousands of automated returns. CMU & UMD.\n\n**Patrick (CTO)**: First engineer @ FunCraft (shipped multiple mobile games to millions of installs and millions in ARR). USC CS\n\n![uploaded image](/media/?type=post&id=92213&key=user_uploads/1753404/1e80e15e-0f0f-4848-b706-15537d0c23e2)\n\n---",
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        "tagline": "Ship production AI apps 10x faster with built-in auth, database and LLM integration",
        "body": "You built the demo in a weekend. Now you need auth, a prod-grade database, real-time events, AI observability, cron jobs, email, monitoring… and you needed them yesterday.\n\nWe spent a decade building platforms while scaling to millions of users and enterprise customers. Now we put that into an open-source framework, so others wouldn’t have to do the same from scratch.\n\n![uploaded image](/media/?type=post&id=92593&key=user_uploads/2485356/d6404f4b-fb88-47d1-adcc-b895394e41af)\n\nModelence is a batteries-included framework that abstracts away boilerplate so you can just focus on building your product logic and nothing else - it’s like Next.js + Vercel + Supabase on a single platform, built for full-stack TypeScript.\n\nhttps://www.youtube.com/watch?v=S4f22FyPpI8\n\n**Why Modelence?**\n\nShipping production apps is much harder than building a prototype that runs locally and 95% of all production apps share the same building blocks. We did a massive amount of work on our previous platforms that was not specific to our product, and we’ve created Modelence to abstract that away:\n\n* Authentication\n* Database setup\n* Hosting / CDN\n* AI integration (LLM observability, prompts)\n* Real-time events\n* Cron jobs\n* Email service\n* Monitoring\n* Analytics\n* Admin dashboards\n\nAndrej Karpathy recently posted about this same exact problem - [**https://x.com/karpathy/status/1905051558783418370**](https://x.com/karpathy/status/1905051558783418370) and explained it further in his [**YC AI Startup School talk**](https://tinyurl.com/45xvsm3y).\n\n**Who is this for?**\n\nStartups that are shipping TypeScript production apps and want to focus on building their product without worrying about boilerplate, DevOps, infra and scaling.\n\n**Founders**\n\n* Aram S (ex-Principal Eng @ Intuit, co-founded [**CodeSignal**](https://codesignal.com/))\n* Eduard P, PhD (Founding Eng @ [**CodeSignal**](https://codesignal.com/))\n\n**Getting Started**\n\nModelence is open-source - go to https://modelence.com to create a free cloud environment and try it!",
        "url": "https://www.ycombinator.com/launches/O5R-modelence-all-in-one-typescript-platform-for-startups",
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        "full_name": "Eshan Dosani",
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        "full_name": "Kyle Jung",
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        "founder_bio": "I like building cool things, martial arts, and golf.",
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        "title": "Perspectives Health",
        "tagline": "AI to Run Behavioral Health Clinics Better",
        "body": "Hey YC.\n\nMy name is Eshan. I’ve spent the last 5 years trying to address what I think is the most pressing problem in the country — addiction and mental health. Before YC, I ran a group doing on the ground overdose prevention work across the country. I also worked at the White House on Drug Policy.\n\n**Insurance companies love to scrutinize behavioral health treatment**, partially because it’s expensive (a single 30-day residential treatment episode can cost upwards of $50,000), and partially because proving medical necessity for behavioral health is a subjective process.\n\nBut behavioral health care _is_ medically necessary. **Drug overdose is the single biggest cause of death for young people in the US.** And there are too many stories of insurers denying people care, only for those individuals to later lose their lives to overdose.\n\nWe were in the summer ‘25 YC batch. Since then, we’ve been working with a small group of customers to develop a new product. I’m excited to announce it today.\\\n\\\n**Introducing: Perspectives Reclaim**\n\nBecause they’re under so much pressure from payors, behavioral health treatment programs currently spend an immense amount of resources and staff generating documentation and auditing it to be perfect. \\\n\\\nReclaim solves this by\n\n1. Reading tens of thousands of pages of charts every night\n2. Finding issues that can lead to insurance denials or other issues\n3. Tracking down which clinician made the error and emailing back and forth with them until it’s solved.  \n\n![uploaded image](/media/?type=post&id=101622&key=user_uploads/2329278/a7ccf9c3-cf38-409a-a8d4-9c4421623a19)\n\n\\\nIn each of our pilots, we’ve flagged and resolved hundreds of issues, from missing documents to drug tests that weren’t happening when they were supposed to, **leading to more approvals from payors, higher revenue for our clinics, and better outcomes for patients.**\n\nReclaim’s agent can also help provide evidence when fighting against payor clawbacks and can generate the insurance documentation used to argue for more days of care.\n\nIn the last 4 weeks since launching Reclaim, we’ve gone from **0 —> $250k cARR.** Our vision is to replace the $30B spent on the financial and administrative services that keep these clinics afloat and give that capacity back to care.\n\n**Asks**:\n\n1. Intros to our ICP: we’re looking for multi-site behavioral health/SUD treatment centers that deal with commercial insurance.\n2. We’re currently hiring a senior software engineer to help us scale. Any intros here would be appreciated.\n3. Investor intros are always appreciated as well.\n\nHere’s our launch video: <https://youtu.be/vvFe7AF3mUo>",
        "url": "https://www.ycombinator.com/launches/QR4-perspectives-health",
        "votes": 4,
        "created_at": "2026-05-20T03:01:54.820Z"
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        "title": "Perspectives Health: AI Agents for behavioral health admin",
        "tagline": "Too many clinicians are forced to chase insurance reimbursements through hours of documentation. We’re here to fix that",
        "body": "**Perspectives Health is the AI assistant automating the admin work that slows down behavioral health clinics.**\n\n[https://youtu.be/xL-XqY41L10](https://youtu.be/xL-XqY41L10%5C)\n\nHey everyone! We're Eshan and Kyle, founders of Perspectives Health.\n\nWe help the millions of clinicians and clinical directors finally use AI inside the outdated EMR systems they've been stuck in.\n\nMost clinical record software works like Microsoft 95, has no modern APIs, and can't integrate with new tools. That leaves clinicians stuck doing endless manual computer work. \n\nBelieve it or not, most behavioral health clinicians will spend 5 years of their lives just typing notes!\n\n**The Problem**\n\n* 60%+ of clinicians work outside of major hospital systems.\n* Most of them use software that nobody can connect to.\n* This means they can't access life-changing AI software, which could automate notes, billing, scheduling, and more.\n\n**Our Solution**\n\n* Connects to any web-based EMR instantly. Yes, we mean any EMR.\n* Perspectives listens to sessions, writes notes better than a clinician, and populates them straight into any EMR. \n* No copy/paste. And we don't rely on browser agents, so our tool fills out any form in seconds, not minutes.\n\nAI is rapidly improving, but most of healthcare is locked out due to legacy systems. Perspectives bridges that gap, making AI usable immediately. Clinicians want to help people. Not to be drowned in manual work. We're building toward a future where clinicians never touch a keyboard for documentation again—where intelligent systems handle every workflow outside of patient care. \n\nThe first step is integrating seamlessly with outdated EMRs and filling in the critical workflows they lack. From there, we'll expand across specialties—behavioral health, speech therapy, physical therapy, veterinary care, and beyond—unlocking AI for every provider outside the hospital system.\n\n**Our Traction**\n\n* We're growing 25% every week.\n* Once users try our product 5 times, the habit is built, and they never write notes without it.\n* We have onboarded 9 clinics for our pilot program since YC started, and each is on track to onboard all our pilot clinicians by September (180 clinicians).\n\n**Our Team**\n\nOur founding team combines lived experience in mental health care, policy expertise from the White House Drug Policy team, and technical expertise in scalable AI systems.\n\n**Our Ask**\n\nIf you're a behavioral health operator, clinician, or investor who believes AI should be helping providers now—not five years from now—let's talk.",
        "url": "https://www.ycombinator.com/launches/OAD-perspectives-health-ai-agents-for-behavioral-health-admin",
        "votes": 25,
        "created_at": "2025-08-13T19:26:58.682Z"
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    "id": 30781,
    "name": "Duranium",
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    "website": "https://www.duranium.co/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "China and Russia control the world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally via co-production.\r\n\r\nCarbochlorination is the primary process for producing critical metals like titanium, hafnium, and zirconium, and was once the standard for magnesium. The problem: conventional carbochlorination relies on purchasing carbon feedstocks, wastes valuable byproducts, and is highly CO₂-intensive.\r\n\r\nDuranium changes this with a novel reactor that recycles CO₂ emissions back into feedstock (CO) while generating a valuable co-product (bleaching agents). This closed loop slashes emissions and delivers Chinese-level metal pricing without subsidies — unlocking the full potential of carbochlorination for U.S. critical mineral production.",
    "one_liner": "Reshoring critical metal production",
    "team_size": 12,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1757191317,
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      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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        "user_id": 2509424,
        "full_name": "Brenden Prins-McKinney",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of Duranium, working to reshore critical metal production. Previously a consultant with McKinsey & Co. in D.C., where I advised the DoD on reshoring critical chemical production. Graduate of Stanford Law School where I was a Knight-Hennessy Scholar.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/brenden-prins-mckinney-96959a69/",
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      {
        "user_id": 2570104,
        "full_name": "Berkley Noble",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of Duranium, working to reshore critical metal production. My expertise lies in molten-salt electrolysis. I hold a a patent for an electrochemical metal cell and built the only U.S. pilot magnesium electrolyzer in the last 20+ years.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/berkleynoble/",
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      {
        "id": 93706,
        "title": "Duranium — Reshoring critical metal production",
        "tagline": "Reshoring critical light-weight metal production (Ti, Mg, Al, Zr, Hf) — more profitably than any other method through modernized carbochlorination and co-production.",
        "body": "![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/cab46185-5d50-4822-bf45-873f52ae6571)\n\n**TL;DR** — **China and Russia control world’s critical minerals. We can produce Titanium, Magnesium, Aluminum, Zirconium & Hafnium in the U.S. more profitably than any existing process, and carbon neutrally. On track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices).**\n\nHi all, we’re Berkley and Brenden of Duranium, and we’re delivering American critical mineral independence with a light-weight metal production process that competes globally without subsidies. As brothers-in-law, we’re passionate about rebuilding the U.S. industrial base — not through taxes and subsidies, but through real technological innovation. Our mission is to help America reclaim its place as the world’s greatest builder of _tangible_ things.\n\n# ❌ The Problem\n\nMagnesium, titanium, aluminum, hafnium, and zirconium are all listed on the DOE’s Critical Minerals List, with magnesium ranked among the highest in both supply risk and strategic importance to U.S. energy security. _The U.S. has zero domestic magnesium production and no titanium sponge production — yet both are indispensable for fighter jets, missiles, satellites, rockets, and advanced aerospace systems._ \n\nChina and Russia control \\~97% of magnesium and \\~90% of titanium production (directly or indirectly). \n\nOn top of that, U.S. magnesium costs nearly 3x the global average, and legacy methods are CO₂-intensive and waste valuable byproducts.\n\n# ✨ Our Solution\n\nWe’ve modernized carbochlorination metallurgy (the primary methods for producing many of these critical metals) with a novel reactor and process that:\n\n* Creates a closed-loop system that profitably matches Chinese pricing — without subsidies — and slashes emissions\n* Recycles CO₂ emissions into CO feedstock\n* Generates a valuable co-product (bleaching agents)\n\nOthers are trying to reinvent lightweight metal production from scratch with approaches that are costly and dependent on government subsidies or green premiums to hit profitability. Our approach is different: we harness the laws of thermodynamics instead of fighting them, co-producing valuable outputs that make the economics best-in-class.\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/38fd63f0-e5a7-4f91-88cf-ad06c8b7e01a)\n\n# 🏆 What we’ve achieved so far and where we’re headed\n\n* We’ve proven the process at benchtop scale, producing magnesium, bleaching agents, and converting CO₂ produced by carbochlorination into CO\n* We are now scaling with the build of a pilot facility to be operational by June 2026\n* We’re on track to supply 12% of U.S. magnesium by 2029, at 50%+ EBITDA margins (@ world’s lowest mkt prices)\n\n# 👥 Our Team\n\nBerkley, CTO — A leading American expert in magnesium production; holds a patent for an electrochemical metal cell and built the _only_ U.S. pilot magnesium electrolyzer in the last 20+ years. Brings unmatched technical depth in lightweight metal production\n\nBrenden, CEO — Former McKinsey D.C. consultant, where he advised the DoD on reshoring critical chemical production and spent 1 year with the Defense Logistics Agency (DLA). Ex-Goldman TMT investment banker, Stanford Law graduate and Knight-Hennessy Scholar\n\n![uploaded image](/media/?type=post&id=93706&key=user_uploads/2509424/babe8628-8537-44c5-aa1a-daecb483c077)\n\n## 🙏 Asks\n\nJoin our team! We’re looking for engineers with experience in high-temperature or corrosive reactors. If that’s you — or someone you know — and you want to help build the future of lightweight metal production, get in touch!\n\n[team@duranium.co](mailto:team@duranium.co)",
        "url": "https://www.ycombinator.com/launches/ONO-duranium-reshoring-critical-metal-production",
        "votes": 23,
        "created_at": "2025-09-09T03:29:52.411Z"
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    "id": 30782,
    "name": "TectoAI",
    "slug": "tectoai",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "We help your company identify roles that can be filled by agentic AI tools, onboard them quickly, monitor their performance and behavior post deployment, ensure they remain compliant, and aligned with regulations. Tecto is building the governance platform for managing the AI stack! ",
    "one_liner": "A Platform for AI Governance",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1752441321,
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    "batch": "Summer 2025",
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    "linkedin_url": "https://www.linkedin.com/company/tectoai",
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        "full_name": "Niosha Afsharikia, PhD",
        "title": "Founder/CEO",
        "founder_bio": "Founder, operator, and product builder with 10+ years navigating highly regulated AI deployments. Raised millions in funding across seed-stage startups and academic research. Developed and launched AI-enabled products for the US government and private sector. Shipped zero-to-one products with enterprise and Fortune 500 customers. ",
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        "full_name": "Roksana Baleshzar",
        "title": "Founder/CTO",
        "founder_bio": "Roksana is Cofounder and CTO of TectoAI, the HR system for AI agents. She holds a Master’s in Computer Science and spent 6+ years at Google building ML features in Gmail, shipping to hundreds of millions of users. She specializes in deploying AI safely at scale, with deep experience in real-time systems, data sensitivity, and edge-case failure.",
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        "id": 92108,
        "title": "Tecto - Governance Platform for AI Employees 🤖",
        "tagline": "Accelerate recruiting agentic AI tools and keep an 👀 on them!",
        "body": "👋 Hi! We’re [Niosha](https://www.linkedin.com/in/afsharikia/) and [Roksana](https://www.linkedin.com/in/roksana-baleshzar/), co-founders of [Tecto](https://www.tecto.ai/).\n\n# **TL;DR:**\n\nWe help your company identify roles that can be filled by agentic AI tools, onboard them quickly, monitor their performance and behavior, and ensure they stay compliant and aligned with policies. Tecto is building the **HR system for managing your AI “employees”**.  \n\n🎬🍿\n\nhttps://youtu.be/GeTHW1XVwvE\n\n# **The Problem**\n\n💸 Most companies are eager to **unlock the $B in efficiency** promised by AI, but unsure which use cases to start with. Should they bring on an AI email manager? Or a task manager that syncs with email? Or an all-in-one AI coordinator? \n\n📋 Even after choosing, the **approval process**—from vendor risk assessment to infosec, GRC, and legal—is slow and convoluted. And by the time it's complete, the tool or regulations may have already changed.\n\n🐒 Moreover, agentic AI tools **aren’t static like traditional SaaS**. They continuously evolve with new models, multimodal capabilities, and dynamic behaviors. **Much like humans**, their responses can vary depending on context, drift to favor shortcuts, or adapt tone _([Chen et al., 2025](https://arxiv.org/pdf/2506.06366))_\n\n📊 Most importantly, relying solely on **model benchmarks falls short**. Agent behavior is shaped by capability, context, and adaptation, not just the underlying model. For example:\n\n* A single missed medical term in a transcription can lead to a hallucinated diagnosis in the summarization layer (error propagation) ☠️\n* In a back-office copilot, the assistant began favoring shortcuts over accuracy after users consistently chose the fastest suggestions, optimizing for user approval instead of policy (favoring shortcuts)  💾\n\n# **Our Solution**\n\n**Tecto platform provides the evaluations and qualifications needed to employ and monitor agentic AI, like gusto for AI employees.**\n\n* Tecto helps you pinpoint where AI fits within your workflow and matches you with a curated list of vetted AI employees aligned with your organization’s expectations, risk tolerance, and compliance requirements. \n* Once deployed, we continuously monitor their behavior—using output testing to detect drift, edge case failures, and other unexpected actions as they arise. \n* We also keep you ahead of rapidly evolving AI regulations worldwide, alerting you to public incidents or legal actions involving tools in your stack, so you can respond before issues escalate.\n\n🕹️ With Tecto, onboarding AI employees is fast and oversight doesn’t stop after deployment. Your AI adoption is structured, controlled, and safe from day one.\n\n# **Why We’re Building This**\n\nTogether, we bring over six years of firsthand experience navigating AI adoption—both inside and outside Silicon Valley—across technical development and real-world implementation.\n\n**Niosha**, our CEO, has 10+ years experience navigating highly regulated spaces. She spent the last 6 years as a consultant after earning her PhD, helping the government and private sector bring AI from theory to practice. She’s seen the confusion, overwhelm, and lack of structure that plague even the most ambitious AI initiatives.\n\n**Roksana**, our CTO, has been building software since she was a teenager and spent the last 6.5 years as an AI engineer at Google. She worked on applied AI at scale, navigating the practical challenges of evaluating tools, monitoring agent behavior in production, and aligning systems with compliance needs.\n\n🎖️ We kept seeing the same pattern: companies either banned AI tools outright or used them blindly, leading to compliance failures, reputational damage, and eroded trust. So we built Tecto to close that gap—because real trust in AI adoption comes from having control.\n\n# **Our Ask:**\n\nWe’re looking for:\n\n**Enterprise teams** adopting (or planning to adopt) third-party AI tools or AI “employees”.\n\n**GRC, Infosec, Vendor Risk Assessment , and IT leaders** (including CSOs) who need control over the AI behavior.\n\n**Startups** that want to hire AI fast, but can’t afford to get it wrong.\n\n**Developers** building AI employees, tools for workflow automation, or vertical AI who want to accelerate their sales.\n\nIf that’s you, we’d love to work with you!\\\nWe’re offering early access and discounted pricing for our first wave of customers and hands-on support as you onboard.\n\n👉 Sign up at [tecto.ai](https://www.tecto.ai/early-access)\\\n📬 Reach us directly: [founders@tecto.ai](mailto:founders@tecto.ai)\n\n![uploaded image](/media/?type=post&id=92108&key=user_uploads/2221991/a5ecd214-015d-49be-8bb0-5ae72ebc45ad)\n\n",
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        "created_at": "2025-07-14T03:59:41.342Z"
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    "name": "RowFlow",
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    "all_locations": "New York City, NY, USA",
    "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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        "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",
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        "salary_range": "$180K - $250K",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 102215,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/bcAsnPw-founding-account-executive",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$180K - $220K",
        "equity_range": "0.10% - 0.25%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 112658,
        "title": "Customer Success Manager (Growth)",
        "url": "https://www.ycombinator.com/companies/veritus/jobs/VK812Ko-customer-success-manager-growth",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$120K - $150K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 92595,
        "title": "Veritus — AI voice agents for lenders from origination through collections",
        "tagline": "AI agents that help lenders improve conversion rates, decrease servicing costs, and increase recoveries",
        "body": "Hi YC,\n\n**We’re excited to introduce Veritus Agent,** founded by [Joshua March](https://www.linkedin.com/in/joshuamarch/), [Joey Stein](https://www.linkedin.com/in/josephstein1/), and [David Schlesinger](https://www.linkedin.com/in/davidschles/) to help lenders improve conversion rates, decrease servicing costs, and increase recoveries by deploying voice agents across their operations. \n\nJoshua is a serial entrepreneur and the former CEO of Conversocial, which became the leading platform for social media customer service before its acquisition by Verint. Joey and David are seasoned software engineering leaders who met while building core systems at Divvy Homes, the pioneering billion-dollar rent-to-own fintech.\n\n**The U.S. consumer lending market is enormous,** spanning origination, servicing, and collections. In the U.S. alone, consumer credit originations total over $4 trillion annually, while outstanding loans across all categories exceed $18 trillion. The collections segment is responsible for recovering roughly $100 billion from a pool of over $400 billion in delinquent debt. These businesses are all high-touch and highly regulated, yet they remain dominated by manual, phone-based and mail-based outreach—resulting in high operational costs, poor borrower experiences, and billions in missed revenue.\n\n**Everyone in the space is talking about voice AI, but very few are deploying it effectively.** Lenders and collections agencies today are forced to choose between generic AI platforms that lack regulatory rigor or vertical-specific vendors that offer turnkey solutions with no room for customization.\n\n**At Veritus, we’re combining decades of loan servicing experience with deep expertise in agentic workflows to deliver a scalable, configurable AI platform.** Our agents can handle both inbound and outbound conversations while maintaining full context across voice, SMS, email, and chat; they’re regulation compliant right out of the box; and they can be tuned to match a lender’s brand, tone, and negotiation policies. Most importantly, they operate with perfect consistency—24/7.\n\nWe are licensing our platform to lenders, fintechs, servicers, and collections agencies across the entire loan servicing stack; while also getting fully licensed as a collections agency in all fifty US states and buying and collection on our own charged-off consumer debt. This hybrid model gives us exposure to both high-margin software revenue and the upside of direct collections.\n\nOur agents are already live today, executing both first-party collections and loan origination workflows.\\\n\\\n**We’re now looking for new design partners—lenders, servicers, fintechs, or collections agencies—who want to increase recovery rates, reduce costs, and modernize their approach to customer contact.** \\\n\\\nIf that’s you, get in touch: [founders@veritusagent.ai](mailto:founders@veritusagent.ai)\n\n![uploaded image](/media/?type=post&id=92595&key=user_uploads/2833935/52cb8722-d224-4d08-935a-c3efa7d0722d)\n\n",
        "url": "https://www.ycombinator.com/launches/O5T-veritus-ai-voice-agents-for-lenders-from-origination-through-collections",
        "votes": 21,
        "created_at": "2025-07-31T07:35:20.206Z"
      }
    ]
  },
  {
    "id": 30798,
    "name": "Ruvo",
    "slug": "ruvo",
    "former_names": [
      "Cacao"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bf922f186766cb3591cc2c3c89facdcee263517.png",
    "website": "https://ruvo.com/",
    "all_locations": "São Paulo, SP, Brazil",
    "long_description": "Ruvo is a global account for receiving, holding, and moving money between USD and BRL.\r\n\r\nWe connect Pix, crypto, and Visa so you can receive USD from abroad, convert between USD and BRL in minutes, send money to the U.S., spend worldwide, and save in digital dollars with yield — all in one place.\r\n\r\nRuvo supports both personal (CPF) and business (CNPJ) accounts, with low fees, strong security, and direct Pix settlement.\r\n\r\nFormerly known as Cacao.\r\n",
    "one_liner": "The Global Dollar App for Brazil",
    "team_size": 11,
    "industry": "Fintech",
    "subindustry": "Fintech",
    "launched_at": 1754882271,
    "tags": [
      "Fintech",
      "Crypto / Web3",
      "Payments"
    ],
    "tags_highlighted": [
      "Crypto / Web3"
    ],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Fintech"
    ],
    "regions": [
      "Brazil",
      "Latin America",
      "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/ruvo",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/ruvo.json",
    "year_founded": 2025,
    "city": "São Paulo",
    "country": "BR",
    "linkedin_url": "https://www.linkedin.com/company/ruvohq",
    "x_url": "https://x.com/ruvopay",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/cacao-1d6c",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bf922f186766cb3591cc2c3c89facdcee263517.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0bbe327f0e9edadad55ed948937702df4d09a781.png"
    ],
    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
    },
    "founders": [
      {
        "user_id": 1127436,
        "full_name": "Alec Howard",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Ruvo (formerly Cacao). Ex-Uber & previous Head of Marketing at Gauntlet AI (Lambda School, YC S17)",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/alexandermhoward",
        "x_url": "https://x.com/alecmhoward",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12f741689b5e2b265e87df0c2977958634555a9b.jpg"
      },
      {
        "user_id": 2714901,
        "full_name": "Michael Mason",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO of Ruvo. Previous Co-Founder & head of Product & Engineering at Mercato.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mason-michael/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73844158feab0958a42472bee8f1e39e497389a8.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "O americano ex-Uber que se impressionou com o Pix no Brasil e criou uma fintech de R$ 1 bilhão | Exame",
        "url": "https://exame.com/negocios/o-americano-ex-uber-que-se-impressionou-com-o-pix-no-brasil-e-criou-uma-fintech-de-r-1-bilhao/",
        "date": "Sep 24, 2026"
      },
      {
        "title": "Ruvo capta US$ 4,6 milhões para modernizar remessas entre Brasil e EUA ",
        "url": "https://startupi.com.br/ruvo-capta-us-46-milhoes/",
        "date": "Feb 02, 2026"
      },
      {
        "title": "Ruvo, a fintech do ex-Uber que facilita um ‘Pix’ entre Brasil e EUA - Brazil Journal",
        "url": "https://braziljournal.com/ruvo-a-fintech-do-ex-uber-que-facilita-um-pix-entre-brasil-e-eua/",
        "date": "Jan 20, 2026"
      },
      {
        "title": "Ruvo: a solução ideal para brasileiros que recebem em dólar e precisam converter para reais com rapidez, transparência e taxas mínimas. - Bitcoin Block | Notícias & Blockchain",
        "url": "https://bitcoinblock.com.br/2025/12/15/a-solucao-ideal-para-brasileiros-que-recebem-em-dolar/",
        "date": "Dec 15, 2025"
      },
      {
        "title": "Inside YC's Hottest Startups  - by Ollie Forsyth",
        "url": "https://www.neweconomies.co/p/inside-ycs-hottest-startups-of-2025",
        "date": "Oct 18, 2025"
      }
    ],
    "launches": [
      {
        "id": 92888,
        "title": "Cacao - Brazilians can now receive USD & crypto instantly",
        "tagline": "Get paid in USD or stablecoins, spend with a Visa card, and withdraw to Pix",
        "body": "## **Hey everyone**\n\nWe’re Carlos, Alec, and Mike - co-founders of **Cacao.**\n\n### **TL;DR**\n\n**Cacao helps Brazilians receive USD or crypto and instantly convert to Reais (BRL), straight to Pix - all in one mobile app.**\n\n![uploaded image](/media/?type=post&id=92888&key=user_uploads/1127436/c35585c5-8ede-4cce-8a44-2b0cf1574a51)\n\nPIX is Brazil’s instant, free, 24/7 payment system created by the Central Bank.\n\nWhether you're a remote worker, freelancer, software engineer, content creator, or receiving remittances, Cacao gets your money home faster, cheaper, and with zero bureaucracy.\n\n**Try the app:**[ ](https://www.cacaofi.com/en)[https://www.cacaofi.com/](https://www.cacaofi.com/%5C)\\\n**Contact us**: [founders@cacaofi.com](mailto:founders@cacaofi.com)\\\n\\\nhttps://www.youtube.com/watch?v=gEbsfiKngvU\n\n\\\n**The Problem**\n\nMillions of Brazilians earn money from abroad - whether working for global tech companies, freelancing, creating content, teaching online, or receiving remittances from family. But moving money back to Brazil is still:\n\n* **Slow** - transfers take 1–3 business days\n* **Expensive** - with hidden FX fees and SWIFT charges\n* **Frustrating** - requiring multiple accounts, platforms, and workarounds\n\nCarlos tried to pay Brazilian engineers from the US and saw firsthand how broken it is. Fintechs keep building on top of SWIFT. But **SWIFT is the problem**. Cacao replaces it with faster, cheaper rails: stablecoins + Pix.\\\n\\\n**Our Solution**\n\n---\n\nCacao is the best app for Brazilians who are receiving income from abroad.\n\nBuilt with speed, transparency, and flexibility in mind:\n\n* **Receive USD or USDT** via ACH, Wire, RTP, or crypto\n* **Store securely** in a stablecoin (USDT) wallet\n* **Withdraw instantly** to Reais (BRL) via Pix - 24/7, 365 days\n* **Spend in USD** globally with a Visa Platinum card (Apple & Google Pay)\n* **Send and receive crypto** wallet-to-wallet (crypto ↔ crypto is free)\n* **Load your wallet with Pix** - BRL → USDT directly\n* **Track everything** in one intuitive mobile app, with local support in Portuguese\n\n**Pricing:**\n\n* 0.9% on USD deposits\n* 0.9% on Pix withdrawals\n* 1% on card usage\n* **Free crypto ↔ crypto transfers**\n* **Live FX rates** that beat the mid-market rate by 1-2%\n\n**Who It’s For**\n\nCacao is built for Brazilians who get paid from abroad:\n\n* **Freelancers** - devs, designers, PMs, translators, consultants.\n* **Creators** - YouTubers, Kick & Twitch streamers, influencers.\n* **Remote workers** - employed by global companies\n* **Remittance recipients** - family sending money home\n* **Educators** - Udemy, Coursera instructors\n* **Platform earners** - Upwork, Deel, Fiverr, Remote, Ontop, Workana\n* **Foreigners in Brazil** - US tourists and expats using Pix to pay and get paid\n\nGet paid from anywhere. Avoid high fees. Access your money on your terms.\\\n\\\n**Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n1. **Do you pay Brazilian freelancers or employees?** \\\n   We make receiving income abroad instant and affordable.\n2. **Run a global platform (payroll, freelance, creator)?**\\\n   Let’s partner.\n3. **Know Brazilians who earn from abroad or use crypto?**\\\n   Share Cacao with them.\n4. **Want to try it yourself or give feedback?**\\\n   Download:[ https://www.cacaofi.com/en](https://www.cacaofi.com/en)\n\n📩 [founders@cacaofi.com](mailto:founders@cacaofi.com)\n\nObrigado - let’s make Pix global 🇧🇷💸\n\n![uploaded image](/media/?type=post&id=92888&key=user_uploads/1127436/fb386a2c-9bf5-46ba-9ca5-39d1ed47cd7c)\n\n",
        "url": "https://www.ycombinator.com/launches/OAC-cacao-brazilians-can-now-receive-usd-crypto-instantly",
        "votes": 61,
        "created_at": "2025-08-15T22:24:23.856Z"
      }
    ]
  },
  {
    "id": 30799,
    "name": "Avent",
    "slug": "avent",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1db65d6a1bb5d7e7c777ac05121880f5ead05061.png",
    "website": "https://www.aventindustrial.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Avent helps manufacturers and industrial distributors run quoting and order entry on autopilot. \r\n\r\nOur AI agents manage sales inboxes, build quotes from past pricing and tribal knowledge, and keep records up to date in existing ERPs.",
    "one_liner": "AI agents for industrial commerce",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1755109512,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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/avent",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/avent.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/aventindustrial",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1db65d6a1bb5d7e7c777ac05121880f5ead05061.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": 1006692,
        "full_name": "Abhay Kalra",
        "title": "Founder/CEO",
        "founder_bio": "Abhay is the Founder and CEO of Avent. Abhay studied Electrical Engineering and Computer Science at UC Berkeley, where he conducted computer vision research for defect detection in manufacturing.\n\nBefore Avent, Abhay was an operator in the manufacturing and industrial distribution space.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/abhay-kalra-683688214",
        "x_url": "https://x.com/abhaykalraa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df88f59059043154cae6581ae2e0718a9da90997.jpg"
      }
    ],
    "jobs": [
      {
        "id": 93158,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/avent/jobs/3lI2Vgv-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $150K",
        "equity_range": "1.00% - 2.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "C#",
          "PostgreSQL",
          "Python",
          "TypeScript",
          "Next.js"
        ]
      },
      {
        "id": 93159,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/avent/jobs/WD2kTsF-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $130K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "TypeScript",
          "Design systems",
          "Next.js"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 93001,
        "title": "Avent – AI Agents for Industrial Commerce",
        "tagline": "We automate quoting and order entry for industrial distributors using AI",
        "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nI’m [Abhay](https://www.linkedin.com/in/abhay-kalra-683688214/) – founder of [Avent](https://www.aventindustrial.com/).\n\n# **TL;DR**\n\n**Avent builds the AI inside sales rep for industrial distributors and manufacturers**. Our AI sales rep automates quoting, order entry, and product search so the human sales teams at these companies can spend time with customers again.\n\n**_Ask_:** Can you introduce us **distributors, manufacturers or IMR’s (Independent Manufacturer Reps)**? \\\nContact us at [founders@aventindustrial.com](https://mailto:founders@aventindustrial.com)\n\nhttps://youtu.be/hvfU-DMfRG0?feature=shared\n\n# **📉 The Problem**\n\nI saw firsthand as an operator that growth in distribution is capped almost entirely by hiring. It’s hard to find good sales talent, and even harder to retain.\n\n* Sales teams spend most of their day quoting, entering orders, and chasing product data instead of talking to customers.\n* Training new reps takes months, and **more than 50% of the workforce will retire this decade**.\n* Critical knowledge lives in inboxes or people’s heads, and disappears when they leave.\n\nThe result: companies can’t scale beyond the speed of hiring, while service slows and relationships suffer.\n\n---\n\n# **📈 Our Solution**\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/0ab6182e-5b8b-4bf9-9d33-3a0a0668e079)\n\nAvent watch every channel where customer requests arrive—email, fax, phone:\n\n* **Quoting:** When a customer asks for a price, Avent finds the correct product and pricing, generates the quote, and prepares it to send.\n* **Order Entry:** When the customer follows up with a purchase order (PO), Avent matches it to the earlier quote, creates the sales order, and inputs it into the company’s ledger\n* **Procurement:** Never lose an order. If a customer needs something that’s not in stock, Avent will find the best cost from in-network distributors and quote\n\nAvent generates over **$200,000 worth of quotes every day** for distributors across North America and the UK.\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/74e0b3b9-44b2-42d8-bdeb-e9affaaf7f39)\n\n---\n\n# **The Story**\n\nI grew up in factories, and as kids my older brother and I would spend hours talking about how to take it to the next level. Every brainstorm somehow ended in the same place: _hiring_. Turns out, that wasn’t just our problem. It’s everyone’s problem in distribution.\n\nAvent is what I wish we had back then!\n\n---\n\n![uploaded image](/media/?type=post&id=93001&key=user_uploads/1006692/63fcdd55-f8ed-41b2-a7e6-bf366a33292f)\n\n",
        "url": "https://www.ycombinator.com/launches/OC1-avent-ai-agents-for-industrial-commerce",
        "votes": 117,
        "created_at": "2025-08-15T22:24:09.602Z"
      }
    ]
  },
  {
    "id": 30801,
    "name": "burnt",
    "slug": "burnt",
    "former_names": [
      "burnt AI"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af9e43cd6c77970b3bff5071024e812ac9ee3e0.png",
    "website": "https://getburnt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks?\r\n\r\nBurnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. \r\n\r\nOur AI Agent, Ozai, has started by replacing the whole order management job function at food distribution companies, so that sales and customer service teams can focus on what matters - the customer. Ozai monitors all incoming messages (emails, phone calls, voicemails, whatsapp, fax etc.), figures out if it's an order, learns each customer's habits, shorthand, and favorite products, picks up on any prep notes, and enters it straight into the existing ERP. It'll even go back to the customers on your behalf when it's not sure about something, clarify things and carry on working. \r\n\r\nThe more it sees, the smarter it gets. \r\n",
    "one_liner": "Agentic Operating System for Food Supply Chain",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1754594051,
    "tags": [
      "Supply Chain",
      "Food Tech",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 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,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/burnt",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/burnt.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getburnt/?viewAsMember=true",
    "x_url": "https://x.com/getburnt_ai",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/burnt",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2af9e43cd6c77970b3bff5071024e812ac9ee3e0.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": 651960,
        "full_name": "Joseph Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Spent my whole career in food supply chain, intimately understanding the pain points at each step of the supply chain. Now we're reinventing the fundamental technical infrastructure that the industry is run on. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephjacob93",
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        "user_id": 1488111,
        "full_name": "Rhea Karimpanal",
        "title": "Founder/CPO",
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        "user_id": 1132019,
        "full_name": "Chandru Shanumugasundaram",
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        "founder_bio": "Built backed systems for Legal tech, Dev tools, Banking, Restaurant applications. Currently building agents for food distributors and suppliers.",
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        "id": 78174,
        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/burnt/jobs/ye39lFB-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.10% - 1.50%",
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    "news": [
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        "title": "Steph Curry's VC firm just backed an AI startup that wants to fix food supply chains | TechCrunch",
        "url": "https://techcrunch.com/2025/09/25/steph-currys-vc-firm-just-backed-an-ai-startup-that-wants-to-fix-food-supply-chains/",
        "date": "Sep 25, 2025"
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        "id": 92977,
        "title": "Burnt - Agentic OS for Food Supply Chain",
        "tagline": "We’re building AI agents that automate order entry for food distributors",
        "body": "# **TL;DR**\n\nLegacy ERPs may run the business for food distributors, but they come at a steep cost - manual order entry alone can consume 10-50 people’s time that should be spent on sales and customer service. Ripping these systems out would take **years**, cost **millions**, and probably spark a small mutiny. Meanwhile, flashy e-commerce storefronts have flopped harder than day-old soufflé.\n\nBurnt deploys AI Agents directly inside these ERPs, starting with a Sales AI Agent that completely replaces the order management job function.\n\nWe’re working with large distributors across meat, seafood, and specialty ingredients - 97% of their orders now run end-to-end without people & 90% of order-entry staff shifted into sales.\n\nWe’re building supply chain superintelligence so that independent food distributors can compete with the US Foods and Sysco. \n\n\\____________________\\_\n\n# **The Problem**\n\nFood distributors that supply restaurants rely on decades-old legacy ERPs - critical to operations but slow, inflexible, and dependent on armies of people to run.\n\nPast attempts to automate these workflows have failed:\n\n* **RPA** works only for structured PDFs, not for the messy reality of food orders coming via emails, calls, texts, WhatsApp, and fax.\n* **E-commerce storefronts** have low adoption, 12-24 month implementation cycles and come at a high cost - both financially and emotionally - for distributors, while still failing to address the nuances of the industry.\n\nThis leaves distributors buried in manual work. Customer service teams are the perfect example of this issue -  they spend most of their time re-typing orders instead of building relationships.\n\n\\____________________\\_\n\n# **Our Solution**\n\nhttps://youtu.be/hRgpT2I1XAk\n\nBurnt’s AI Agents operate inside existing ERPs - no rip-and-replace required.\n\nOur first agent, **Ozai**, monitors all incoming sales channels (email, text, voicemail, WhatsApp, fax – **even phone calls**), learns each customer’s shorthand, habits, and favorite products, interprets prep notes, and enters the order directly into the ERP.\n\nIf something’s unclear, Ozai asks the customer for clarification and continues processing without breaking the workflow. The more it sees, the smarter it gets. \n\nWe’re live with some of the most respected independent distributors in the business, who’ve used our AI to double down on customer relationships instead of data entry - all in just a matter of weeks.\n\n\\_______________\\_\n\n# **Vision**\n\nWe’re not just automating order entry anymore - our customers are turning to Burnt, eager for us to take on tasks like automated credit control & procurement.\n\nOur mission? We’re building towards a plug-and-play OS that predicts and executes business decisions before humans need to act.\n\n\\_______________\\_\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=92977&key=user_uploads/651960/b94f25ba-340d-4a63-bca3-4c32b129f264)\n\n* **JJ (Joseph Jacob), CEO** -  worked in every part of the food supply chain from farm to table; has bought over 400M lbs of shrimp in his career. Comes from a family with 85 years in the seafood industry.\n* **Rhea, CPO** -  grew up around restaurants, with a design eye that ensures our AI feels invisible yet impactful.\n* **Chandru, CTO** -  built a custom ERP for his dad’s factory as a teenager; obsessed with tech that solves messy, real-world operations.\n\nWe’ve been right there in the thick of it - on factory floors, in seafood markets, and out in the warehouses.",
        "url": "https://www.ycombinator.com/launches/OBd-burnt-agentic-os-for-food-supply-chain",
        "votes": 15,
        "created_at": "2025-08-14T01:00:27.362Z"
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        "full_name": "Tunga Bayrak",
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        "body": "**TL;DR:**\n\nAt Freya, we’re building human-like Voice AI agents for banks, mortgage lenders, fintechs, and insurers. We integrate directly into existing workflows, handle dozens of languages and local dialects, and follow compliance policies by ingesting and reasoning over internal policy manuals, regulatory documents, and industry guidelines.\n\nhttps://youtu.be/uO0D6RtJzoE\n\n**Result**: 0 wait time that prevents revenue loss, more than 50% lower costs than traditional call centers, and Voice AI that customers actually want to talk to, all with secure data handling, transcripts, and analytics.\n\n**The Problem:**\n\n* Human customer service agents are expensive. BFSI (Banking, financial services, insurance) firms spend billions staffing live phone support; 60% of CX budgets are still spent hiring and training human agents..\n* Churn & wait times. 40% of callers bail after 60 seconds on hold. Each extra minute in insurance claims or debt collection flows drives churn or lost recovery.\n* One-size-fits-none bots frustrate users: Most generic AI tools can’t reason over policies or edge cases, and fall apart when users deviate from the script.\n\n**Our Solution:**\n\n1. Instant 24/7 support customized to workflows: Freya removes hold times by operating around the clock and tailoring responses to your processes so customer issues are resolved without delay.\n2. Human-like Voice AI with seamless integration: Freya connects directly into CRMs, ticketing platforms, knowledge bases, policy databases, and other back-end support systems. This allows it to securely retrieve live data such as account status or policy details, update records in real time, trigger workflows, and send follow-up emails or documents automatically\n3. Voice AI with built-in compliance: Freya ingests and understands firm-specific policy documents, regulatory guidelines and operational procedures to ensure every interaction meets required rules, with all calls logged and auditable.\n\n**Our Team**\n\nWe were roommates at UPenn and started Freya as our second startup together. Before Freya, [Tunga](https://www.linkedin.com/in/tunga-bayrak/) worked as an AI engineer while [Tomas](https://www.linkedin.com/in/tomas-nepala/) worked within financial services, including in the second biggest insurance broker in the world, and we both experienced how customer support teams struggle with large volumes of calls and with providing the outcomes customers really need. We’re building Freya to solve this.\n\n![uploaded image](/media/?type=post&id=92841&key=user_uploads/1373730/c8f614db-a31a-4fb0-84c5-5dca537f4197)\n\n**Who Should Talk To Us:**\n\nHeads of CX, operations, collections or claims in financial services and retail that rely on traditional call centers.\n\nYou can reach us at [founders@freyavoice.ai](https://founders@freyavoice.ai)",
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        "full_name": "Joe Fioti",
        "title": "Founder/CEO",
        "founder_bio": "Generating GPU kernels automatically to speed up ML models. Ex-Intel, worked on CPU microcode and ML accelerators.",
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        "url": "https://www.ycombinator.com/companies/luminal/jobs/GAXg6qE-compiler-engineer",
        "location": "San Francisco, CA, US",
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        "url": "https://techcrunch.com/2025/11/17/luminal-raises-5-3-million-to-build-a-better-gpu-code-framework/",
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        "title": "Luminal - PyTorch for Production",
        "tagline": "Luminal automatically speeds up and deploys your PyTorch models",
        "body": "Hey we’re Joe, Jake, and Matthew, cofounders of Luminal. \n\nLuminal is an [open-source](https://github.com/jafioti/luminal) ML compiler that generates blazingly fast CUDA kernels and makes deploying AI to production one line of code. We’re already powering research at Yale, production workloads at VC-backed startups and several research labs.\n\nhttps://youtu.be/Rgo15NY9K-8\n\n**TLDR:**\n\n* Our drop-in upgrade to PyTorch automatically generates complex GPU kernel code, like Flash Attention, with zero hand-engineering\n* We provide truly serverless deployments; no idle costs or cold starts.\n* By not relying on pretrained LLMs or hand-written optimizations, we can reliably speed up any model\n\n**Ask:**\n\n* [Book a meeting](https://calendly.com/accounts-luminalai/30min) if you write PyTorch and want your models to run fast\n* [Star us on github](https://github.com/jafioti/luminal) and try Luminal right now on your own laptop!\n* Email us if you know someone who runs custom models: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n—\n\n### **The problem:**\n\nMost people running their own AI models are lighting money on fire and don’t even know it. AI teams are frustrated when moving their model from dev to production. They either fall into dependency hell or kill their model’s speed. Today, **companies waste millions of dollars on GPU engineering** teams to optimize new models before they can be served to users.\\\n—\n\n### **How Luminal solves it:**\n\n**Luminal replaces a process that companies pay GPU engineers $300k+ a year to do.**\n\nOur key insight is that by treating optimization as a search problem, we’re able to automatically discover extremely complex optimizations in minutes that would take a GPU expert weeks. We use a series of ‘rewrite rules’ to create millions of graphs to describe your model, generate kernel code for each and then search for the fastest one based on runtime.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfNzLo_zAkiYY_fsEQMseEQZXpdFjn0chhSJ8Wn-0WOkSHGblAi1XseXLIbZsiim6z8_AiWxx6wuzTuCQYfNe2ELulijuOBR5b_1x4-kzEoxEoxutW0qv127MHbl1Lu6YLIJBfP_A?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n_Example of a complicated kernel on the left that Luminal automatically sped up, on the right._\n\nLuminal is:\n\n1. **Closing the research → engineering gap.** Because we auto-generate optimized GPU code directly from your PyTorch, a brand-new model can go from research notebook to production in hours instead of weeks\n2. **Writing blazing fast models.** Luminal generates kernels that would take a seasoned GPU engineer weeks of painstaking profiling and tuning to write.\n3. **Future-proofing AI for new chips**. We can rerun our compiler on fresh hardware to get new optimal kernels so you're never out of date.\n\n—\n\n### **You should reach out if:**\n\n* You’re an AI researcher or ML engineer\n* You’d like to lower your compute bill by **tens of thousands of dollars a month**\n* You work at a company that runs their own **custom models**\n\nIf you want your team spending more time making the world’s best models and less time optimizing hardware and cloud infrastructure, we’re for you!\n\n—\n\n### **The Team:**\n\n[Joe](https://www.linkedin.com/in/joe-fioti-24a986189/) - ex Intel, every Intel chip sold has the AI accelerator Joe worked on. He has extensive experience optimizing performance at the silicon level.\n\n[Matt](https://www.linkedin.com/in/matthewjgunton/) - ex Amazon where his software handled finding and automatically fixing issues within the global inventory network 24/7\n\n[Jake](https://www.linkedin.com/in/jake-stevens-/) - ex Apple Jake worked on imaging at Apple for your iPhone. He’s been a founder (with an exit) and head of growth at another startup that he grew to \\~$5M ARR.\n\nSend us an email: [contact@luminalai.com](https://mailto:contact@luminalai.com)\n\n[Book a call with us](https://calendly.com/accounts-luminalai/30min)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXd1hRLOasxYQ38r0AmMN9fTC9-BatUjGjE9-BXM21-w8PRvhBJVeYAc3pWlLPVlmTtnP3jG9Pa5HmUIGTYaZ93ClC-M-CRx0nkNw-DgS3Wh28xWXaUzXVwL_XPCNUL8JyTd_9FmBA?key=gRJ545K4hfVVtN0eX-o_ZQ)\n\n",
        "url": "https://www.ycombinator.com/launches/O0g-luminal-pytorch-for-production",
        "votes": 127,
        "created_at": "2025-07-20T17:12:19.542Z"
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    "id": 30805,
    "name": "RealRoots",
    "slug": "realroots",
    "former_names": [
      "RealRoots Inc."
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4b72e88bef4437e7d672c23bb7e1f952c837fca.png",
    "website": "http://www.realroots.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Real friendships, made in real life. Answer a few questions, and we'll match you into IRL hangs with women you'll actually click with. Made for women, by women.",
    "one_liner": "IRL friendship app for women",
    "team_size": 7,
    "industry": "Consumer",
    "subindustry": "Consumer -> Social",
    "launched_at": 1750729944,
    "tags": [],
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    "status": "Active",
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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/realroots",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/realroots.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
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      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 263511,
        "full_name": "Dorothy Li",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of RealRoots. I'm a Stanford business grad and was a founding team member of Cambly, a consumer marketplace backed by Benchmark.\n\nI started working on RealRoots because this was the product I desperately needed so many times in my own life.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dorothy-li-994a2213",
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      },
      {
        "user_id": 1054984,
        "full_name": "Tara Kappel",
        "title": "Founder/CPO",
        "founder_bio": "Co-founder & CPO of RealRoots, the IRL friendship app for women. I lead engineering and product to build and scale our platform to hundreds of thousands of women across the US.\n\nPreviously led product and data teams as an early employee at Brilliant, a Series C consumer edtech company.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/tara-kappel-5baa6095",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c29a8a123fd3695105b52cfc7c7f00d54f3d6a5b.jpg"
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    "jobs": [],
    "news": [
      {
        "title": "Making friends as an adult is hard. Here’s the secret. - The Washington Post",
        "url": "https://www.washingtonpost.com/lifestyle/2025/11/20/secret-to-making-friends/",
        "date": "Nov 20, 2025"
      },
      {
        "title": "Hungryroot founder debuts Every, an AI-powered app for self-reflection and human connection | TechCrunch",
        "url": "https://techcrunch.com/2023/10/05/hungryroot-founder-debuts-every-an-ai-powered-app-for-self-reflection-and-human-connection/",
        "date": "Sep 17, 2025"
      },
      {
        "title": "Lonely San Francisco Residents Turn to Friendship ‘Boot Camp’",
        "url": "https://sfstandard.com/2023/11/13/san-francisco-friendship-boot-camp-cure-loneliness/",
        "date": "Nov 13, 2023"
      }
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      {
        "id": 93017,
        "title": "RealRoots 👯‍♀️ the IRL friendship app for women",
        "tagline": "Real friends, made in real life. ",
        "body": "**TL;DR - Answer a few questions, and we’ll match you with new friends IRL for in-person experiences. Friendship guaranteed.**\n\nTHE PROBLEM:\n\nMaking friends as an adult is hard. Women lose half of their friends every 7 years, and yet there is no easy way to rebuild those circles. This fundamental problem has led to ⅔ of Americans regularly feeling lonely to no fault of their own.\n\nTHE SOLUTION:\n\nWe know that friendships form when three ingredients align: 1) compatibility, 2) repeat encounters, and 3) authentic conversations. That’s why we designed RealRoots to reliably deliver all three, allowing us to guarantee friendships.\n\n* **Friendship compatibility:** We ask women a questions about her life stage and values, matching with with compatible new friends in her area\n* **Repeat Encounters:** When a woman joins RealRoots, she commits to meeting her friend matches for multiple shared experiences, allowing enough repetition for connection to develop.\n* **Authentic Conversations**: RealRoots experiences are led by a trained facilitator, who guides deep conversations and icebreakers so that a woman gets to know her matches intentionally.\n* A woman joins for a quarter, a year, or longer.\n\n \n\nWHY WE’RE BUILDING THIS:\n\nWe’re building the product we desperately wished existed. After moving 10 times between us, we’ve repeatedly felt the struggle of rebuilding a community from scratch, and the isolation that follows. We created RealRoots because we want to solve this problem, for ourselves and for every woman seeking genuine connection.\n\nOUR ASK:\n\n**Meet friend matches (women only):** Have any female loved ones who are looking for female community? Spread the word about RealRoots. And if you’re a woman, we’d love to help you [meet your new local friend group](https://www.therealroots.com/).\n\n![uploaded image](/media/?type=post&id=93017&key=user_uploads/263511/8b7a20c9-56f7-4105-96c4-29a16d751ace)\n\n",
        "url": "https://www.ycombinator.com/launches/OCH-realroots-the-irl-friendship-app-for-women",
        "votes": 151,
        "created_at": "2025-08-15T20:19:28.651Z"
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    "id": 30806,
    "name": "Uplift AI",
    "slug": "uplift-ai",
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    "website": "https://upliftai.org/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. \r\nDevelopers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc).\r\n\r\nWe gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages.\r\n\r\n---\r\n\r\nPeople who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface.\r\nWe believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. \r\nUplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.",
    "one_liner": "Foundational Voice Models for regional languages",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1750590533,
    "tags": [
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      "Conversational 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",
      "Partly Remote"
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    "stage": "Early",
    "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": "Hammad left Apple and took a year off to figure out what he wanted to do with the next decade of his career.\\\r\nFirst month: finished netflix :) \\\r\nThen he spent two months reviewing 20 years of voice tech research papers in chronological order… and somewhere in there realized that there is an opportunity to make amazing voice models for smaller languages — faster than big tech."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "One way I will answer this question. For now i will use it to increase SEO ranking for a new product we are trying. <https://upliftai.org/ai-calling>"
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "At the core, we are solving the problem of universal access to digital knowledge and digital services. \\\r\n\\\r\nPeople who would previously never use certain digital services (like online ordering, or online health advice), actually use the service when they are given an intuitive Voice based interface — especially in emerging markets.\\\r\n\\\r\nVoice Interfaces make it more natural and intuitive to use technology; and we believe it will onboard 100s of millions of new users onto digital services. This will make people more productive, and increase GDP per capita. "
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "When we truly succeed, the world will access technology through our Voice Tech.\\\r\n\\\r\nAnd the GDP per capita would increase around the world, as more people will be able to take full advantage of technology using intuitive voice interfaces. \\\r\n\\\r\nCurrently a large part of the world is unable to fully utilize technology coz text-interfaces are very confusing for many people."
      }
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    "url": "https://www.ycombinator.com/companies/uplift-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/uplift-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/upliftai/",
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    "founders": [
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        "user_id": 1455159,
        "full_name": "Hammad Malik",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Uplift AI. Building Voice Models for regional languages. Previously developed voice technology at Apple Siri and Amazon Alexa for about 9 years.  Cornell University alumni.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hammad2",
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      {
        "user_id": 650101,
        "full_name": "Zaid Qureshi",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Uplift AI. Building Voice Models for regional languages. Previously:  Designed AWS Bedrock Guardrails.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/zaidqureshi",
        "x_url": "https://x.com/zqureshi_",
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      {
        "id": 103104,
        "title": "Founding Design Engineer",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/u9rZioW-founding-design-engineer",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Product design",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "CSS",
          "React",
          "TypeScript",
          "Prototyping",
          "Design systems",
          "Branding",
          "Marketing design",
          "Figma"
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      },
      {
        "id": 103116,
        "title": "Founding Engineer - Frontier Tuning Platform",
        "url": "https://www.ycombinator.com/companies/uplift-ai/jobs/rC1wCHI-founding-engineer-frontier-tuning-platform",
        "location": "Lahore, Punjab, PK",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$1.5K - $2.5K / monthly",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "React",
          "TypeScript",
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          "Deep Learning",
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    ],
    "news": [],
    "launches": [
      {
        "id": 103672,
        "title": "Urdu-speaking AI models — really really desi style",
        "tagline": "Authentic Urdu AI voices — from nosey aunties to angry molvis.",
        "body": "We have trained an AI model called Orator, that speaks Urdu with human-like realism. To the best of our knowledge, it is the first model that can speak Urdu in an authentic way: the way everyday people speak Urdu in everyday life.\n\nWe have voices from “the whole mohalla“ (entire neighborhood). From angry molvis and nosey aunties, to thailay walas, and burger boys.\n\n**You can experience the voices at [UpliftAI.org](http://UpliftAI.org).** The website will allow you to experience dozens of voices in seconds by just clicking/hovering the circles.\n\n![uploaded image](/media/?type=post&id=103672&key=user_uploads/1455159/ac1e7d0f-ca3e-4fc0-aac6-4cc61a89797e)\n\n**Making the model**\n\nWe have put our heart into this work, and enjoying it more than any work we have ever done in the past.\n\nWe started with the map of Pakistan and asked: how do people sound in every district. That gave us the accent list.\n\nThen, we asked ourselves: what are all the unique characters we would interact with in a typical month as we go about our normal life. This gave us our character/persona list.\n\nWe then hired a leading voice producer and worked with him to hire voice actors and script writers, and then spent months doing voice recordings in studios in Karachi, Lahore, Quetta and Islamabad.\n\nOnce the voices were recorded, then we hired 50 contractors to label data.\n\nThe final and the simplest step was the model training. We trained a very small 32M param VITS2 inspired model.\n\nThe results are very encouraging.\n\n\\- Here is someone creating a story book using our voices: <https://shehryar-stories.up.railway.app/frontend/index.html>\n\n\\- Here is me just having fun with it: [https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/](https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAQRT3MBhOY-xG4s8JvUtCqBaUrSdpKe93Y)\n\n**Ask**\n\n* If you know anyone that may benefit from this, please do connect us.\n* If you know any actors, dubbers or media houses that would be interested in recording more characters, please do connect us.\n* I can be reached at: <https://www.linkedin.com/in/hammad2/> or [founders@upliftai.org](mailto:founders@upliftai.org) ",
        "url": "https://www.ycombinator.com/launches/Qy8-urdu-speaking-ai-models-really-really-desi-style",
        "votes": 7,
        "created_at": "2026-06-23T16:15:41.627Z"
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    "id": 30807,
    "name": "Paloma",
    "slug": "paloma",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png",
    "website": "https://getpaloma.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.",
    "one_liner": "Digital transformation for real economy businesses",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1754546482,
    "tags": [
      "SaaS",
      "Analytics",
      "Manufacturing",
      "Operations",
      "AI"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "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/paloma",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/paloma.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/108207089/",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 520906,
        "full_name": "Nazli Danis",
        "title": "Founder/CEO",
        "founder_bio": "CEO and co-founder @ Paloma | Previously GPM and first product hire @ Deel where I led Employee of Record (EOR), our highest revenue generating vertical, as we blitzscaled from $10K MRR to $XXM MRR.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nazlidanis/",
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      {
        "user_id": 2703464,
        "full_name": "Alex Avnit",
        "title": "Founder/CRO",
        "founder_bio": "CRO and co-founder @ Paloma | Previously Head of Deel’s EOR Business Unit - their fastest-growing and highest revenue-generating product | Quant & Data scientist by trade.\n\n",
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        "linkedin_url": "https://www.linkedin.com/in/alex-avnit-222b3611a/",
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    "launches": [
      {
        "id": 93175,
        "title": "Paloma: AI-native CRM for billing, renewals, and expansions",
        "tagline": "Auto-pilot everything after the handshake",
        "body": "### **TL;DR**\n\nPaloma unifies contracts, service consumption, and customer relationship context so that revenue, success and sales teams can operate from the same ground truth. With everything centralized, you can stay ahead of upsell and churn signals while billing runs smoothly in the background.\n\nhttps://youtu.be/jav-7qS-S4U\n\n---\n\n### **The Problem**\n\nFragmented customer context and manual billing kill revenue potential:\n\n* Account managers and customer success don’t have full visibility on which clients to pay attention to for maximizing upsells and minimizing churn\n* Complex pricing or custom deals often require manual work to bill accurately, making them hard to support and creating a real barrier to selling\n\n### The Result\n\n* Revenue opportunities slip through the cracks because signals for upsell or renewals aren’t surfaced on time\n* Teams don’t have a clear view of what they can upsell or at what price, leading to missed opportunities\n* Sales is constrained to “billable” terms, creating friction and slowing execution\n\nThe result is a reactive, fragmented go-to-market motion where growth is capped by operational bottlenecks instead of driven by customer opportunity.\n\n---\n\n### **How Paloma Solves It**\n\nPaloma is the AI copilot and system of record for everything that happens after the handshake:\n\n* **Unified ground truth:** Parses contracts, communications, notes and service consumption into one shared customer context for revops, finance and customer success.\n* **Surfaces revenue opportunities:** Flags upsells, renewals, churn risks, and usage changes and prioritizes them by impact.\n* **Automates billing workflows:** Turns complex terms into billing-ready instructions that run behind the scenes.\n* **Works with your stack:** Seamlessly integrates with your CRM, billing software, and data sources to sync context and actions.\n* **Human-in-the-loop by design:** You stay in control. Paloma learns from your feedback and gradually automates more over time.\n\n### Demo: From Contract to Invoice in Seconds\n\n**1. Upload Contract & Add Notes**\\\nEasily import customer contracts and attach important context in seconds.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenCXn3XWc-aJ86auvk1b4EbfYkrX83Tacb9LElt6_O29CrmLlKpIV3-g3t-A_ZoEwNMRTLizwutLePHZd6OQoxoJBYoBENxRAEhjZ5StRPdrED7L42JfBVZGDrxzT9GZLvY1NwDg?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**2. Parse & Review Contract Data**\\\nPaloma extracts terms, pricing, and key conditions from the contract.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWyfWU9QpLWYr70cBoUZtfs1pqaC4uSNPLA-zF3eCa0zgAMZLXcOxQTZ2EZs-Gl2GMEaTMcyt7oDKcETvRgggs25ZpNHVSVuz0kxx3aHVqSeVKSJplYcr7lpgKw4Dxd0iAc23LpQ?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**3. Upload Usage Data**\\\nFeed in real consumption data to trigger accurate billing calculations.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXczxqONAnGu0BAaL8dL5EZ8zABzWHQyDBgMN8xgW4YBFvyu7vGKcgBTcBK9s9JNdLqq4ekGPJGVjCCO7KWRvTtxm9x9dR0n4QoPnD5qaQSj188gQ4fMT0A6QwRymziy0-VI-kXY?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**4. Generate & Review Invoice**\\\nWatch the system apply contract rules and usage to produce the final invoice, automatically.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcCNxVydjEGKUle7c1KaAb4Pqzr9zZ-H7WrQGYXDH8re-Q1ggk8tOCqwZ6Y3jvxgOl-dEmspx3B7_hWdY-gsPiHSV_nfRj_8FnQ8oPXl8zBgoNTzu8KJ1XCYPFmEVdKOSMemx8nYw?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n### **The Team**\n\nWe met at Deel, where we were early employees. Naz (CEO) and Alex (CRO) spent 3 years building and scaling Deel’s largest revenue-generating product from zero to $500m ARR. Kai (CTO) led the development of Deel’s billing and payments infrastructure from the ground up. We’ve lived the pain of messy post-sales firsthand and we’re building Paloma to solve it.\n\n![uploaded image](/media/?type=post&id=93175&key=user_uploads/2703464/b02e3435-4880-4c5e-a9a6-1f9c9b46bb59)\n\n### **Our ask**\n\nIf your team spends too much time on messy workflows, manual billing processes or you feel like you’re leaving money on the table, let’s talk.\n\n* **Book a call**: [https://cal.com/team/paloma/intro-call-with-paloma-](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n\n  [founders](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n* **Or email/call us at** : [founders@getpaloma.ai](mailto:founders@getpaloma.ai) / +1 (917) 971-7795\n\nThank you!",
        "url": "https://www.ycombinator.com/launches/OEp-paloma-ai-native-crm-for-billing-renewals-and-expansions",
        "votes": 118,
        "created_at": "2025-08-20T14:28:04.109Z"
      }
    ]
  },
  {
    "id": 30813,
    "name": "Blue",
    "slug": "blue",
    "former_names": [
      "L5 Assistant"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90acd1189896151e269eca2dc0a6b15c7042d091.png",
    "website": "https://heyblue.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Everyone pays someone to handle the parts of their life that don't need them personally. The cleaner, the bookkeeper, the lawn service. Nobody could handle what lives in your phone. Until Blue.\r\n\r\nBlue is a small USB-C dongle and iPhone app. Plug it in and say what needs doing. The follow-up you haven't sent, the appointment you haven't booked, the reply you owe. Blue opens the right app, does the work, and tells you when it's done. You don't touch your phone.\r\n\r\nWorks with every app already on your iPhone. \r\n\r\nThe team brings complementary experience at scale: Omar Abdelaziz led Google Assistant’s transition to LLMs and holds one of earliest patents in LLM-based computer control; Peter Krogh spent decades designing voice-first dialog systems and was most recently a design lead at Google DeepMind building actions for Gemini Live; Muhammad Farhan Hossain helped ship Apple Vision Pro, is named on dozens of hardware/systems patents, and has led products from prototype to mass production.\r\n\r\nWe’ve built systems used by billions. Now we’re on to defining the next era of computing.",
    "one_liner": "Your phone finally has someone to run it. Plug in Blue, just ask.",
    "team_size": 6,
    "industry": "Consumer",
    "subindustry": "Consumer",
    "launched_at": 1753836546,
    "tags": [
      "Hardware",
      "Productivity",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2025",
    "status": "Active",
    "industries": [
      "Consumer"
    ],
    "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/blue",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/blue.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/heyblue/",
    "x_url": "https://x.com/heyBlueX",
    "fb_url": "https://www.instagram.com/heyblueig/",
    "cb_url": "https://www.crunchbase.com/organization/blue-13c9",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90acd1189896151e269eca2dc0a6b15c7042d091.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
    },
    "founders": [
      {
        "user_id": 2231380,
        "full_name": "Omar Abdelaziz",
        "title": "Founder/CEO",
        "founder_bio": "I've spent more than a half-decade leading teams on Google Assistant and at Scale AI, and hold one of the world's first patents in LLM-based computer-use. Now, I'm on to defining the next era of computing, starting with a 100x more powerful voice assistant.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/oabdelaziz/",
        "x_url": "https://x.com/OmarAbcXyz123",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dec14a7870f1081a9bf3e37cc29311061cf43e43.jpg"
      },
      {
        "user_id": 2770643,
        "full_name": "Farhan Hossain",
        "title": "Founder",
        "founder_bio": "I’m a robotics and product design engineer focused on building thoughtful tools for the world. I hold dozens of patents in hardware and manufacturing, and I care deeply about how things are made and who they’re made for. \n\nFor over a decade, I’ve worked across robotics, wearables, and consumer electronics. As one of the first engineers on the Apple Vision Pro, I took it from concept to mass production. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mfarhanh/",
        "x_url": "https://x.com/FarhanBuilds",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c525b0262175e9cb88fc041b3b577f2ac2b512be.jpg"
      },
      {
        "user_id": 2742423,
        "full_name": "Peter Krogh",
        "title": "Founder",
        "founder_bio": "I teach computers how to talk. For 20 years this was primarily a deterministic process of design/engineer/tune, but with the arrival of LLMs it now looks more like show/convince/tune. AI is weird, but if it can't be taught how to have a normal spoken conversation with a person, it's not going to work. This is what I work on.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/peter-krogh-820273/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf18431e96d89027c5cd3c1ccff73e86d54d5be9.jpg"
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    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 101303,
        "title": "Introducing the Blue Smart Dictation Keyboard for iPhone",
        "tagline": "4x faster when you can speak, normal keyboard when you can't",
        "body": "Blue's dictation is unlike anything you've ever tried before. Instead of transcribing what you say, we give ChatGPT the audio and we ask it: \"Based on what this person said, what do you think they would have typed if they had a chance to review and edit?\"\n\nThat means you can think out loud, repeat yourself, change your mind mid-sentence, and Blue still hands you something that’s ready to send. Check it out: <https://www.youtube.com/watch?v=ED3e1ODMH3g>\n\nSo what happens when dictation finally becomes reliable? Not just better dictation for the 1% of the time your hands are tied up and you have to dictate. You start _defaulting_ to dictation every single time you have to type, and you end up saving a ton of time!\n\nGet it right now: heyblue.com/download",
        "url": "https://www.ycombinator.com/launches/QLv-introducing-the-blue-smart-dictation-keyboard-for-iphone",
        "votes": 7,
        "created_at": "2026-05-13T21:02:17.121Z"
      },
      {
        "id": 93147,
        "title": "Blue: The voice assistant your phone has been missing.",
        "tagline": "Blue uses your apps to finish tasks, hands-free and on the go. ",
        "body": "[heyblue.com](http://heyblue.com)\n\n**TL;DR**\\\nBlue is the only voice assistant on iOS and Android that can control every app on your phone, so you can get work done hands-free.\n\nWhen you’re driving, you can say things like “Catch me up on Slack,” “Pay the power bill from my email,” “Help me order DoorDash”, and anything else you could ask someone in your passenger seat, and Blue will help you do it hands-free.\n\nAt launch, Blue focuses on communications journeys: messages and email across apps.\n\n## **Why We Built Blue**\n\nOur phone assistants peaked at setting timers and checking the weather, but we’ve got a mountain of messages and emails to work through. We built Blue because we actually want to be productive on the way to work – and for the 70% of Americans commuting just like us.\n\n## **How Blue Works**\n\nBlue enables full, hands-free phone control via a voice-first computer-use model. On iPhone, our tiny USB-C plug-in gives Blue the ability to tap and type on your behalf. \n\nBlue doesn't wait for developers to build special integrations. It just uses your apps, all of them, hands-free, so you can tackle your todo list when your hands are busy doing literally anything else.\n\n**See it in action:**\n\nhttps://youtu.be/PJV27Nd9eiI\n\n**Team**\n\n* **Omar Abdelaziz**: Led Google Assistant’s transition to LLMs; holds one of the earliest patents in LLM-based computer control.\n* **Peter Krogh**: Decades designing voice-first dialog systems; multiple design patents; most recently design lead at Google DeepMind serving actions on Gemini Live.\n* **Farhan Hossain**: Helped ship Apple Vision Pro; 50+ patents in hardware/systems; led products from prototyping to mass production and global fulfillment.\n\nWe’ve built systems used by billions. Now we’re on to defining the next era of computing.\n\n## **Ask**\n\n* **Try Blue:** Request early access at [heyblue.com](http://heyblue.com)\n* **Reach out**: [founders@heyblue.com](mailto:founders@heyblue.com)\n\n![uploaded image](/media/?type=post&id=93147&key=user_uploads/2770643/31255b69-1672-4404-83d4-0db5869d0b5f)\n\n",
        "url": "https://www.ycombinator.com/launches/OEN-blue-the-voice-assistant-your-phone-has-been-missing",
        "votes": 25,
        "created_at": "2025-08-19T21:45:01.737Z"
      }
    ]
  },
  {
    "id": 30818,
    "name": "Nox Metals",
    "slug": "nox-metals",
    "former_names": [
      "NOX METALS",
      "NOX METAL"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png",
    "website": "https://noxmetals.co/",
    "all_locations": "Detroit, MI, USA",
    "long_description": "Nox Metals is an AI-powered metals supplier powering modern American manufacturing at scale. We are building automated factories that turn raw metal into production-ready material faster, cheaper, and more reliably than legacy service centers.",
    "one_liner": "Supplying America's Industrial Base",
    "team_size": 52,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
    "launched_at": 1751751667,
    "tags": [
      "Manufacturing"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "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": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Factories waste time quoting, sourcing, and cutting aluminum blocks. It's slow, manual, and adds unnecessary overhead. This inefficiency compounds across thousands of jobs, dragging down margins and throughput. We started Nox to automate this layer and unlock speed and scale for modern manufacturing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/nox-metals",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/nox-metals.json",
    "year_founded": 2025,
    "city": "Detroit",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/nox-metals-inc/",
    "x_url": "https://x.com/noxmetals",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f724f217879daf89f5fc2ea9279d9cf723f6300.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6439dfa3b9d8de9b2146e20914d41db9b7b08f59.png"
    ],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1489130,
        "full_name": "Zane Hengsperger",
        "title": "Founder/CEO",
        "founder_bio": "Supplying factories across America with the fastest and lowest-cost metals.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zanehh/",
        "x_url": "https://x.com/zanehengsperger",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca5aca1125d8f1d8d5a8cbe1524b3c18afb9e8cb.jpg"
      }
    ],
    "jobs": [
      {
        "id": 105416,
        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tPQM8Q3-chief-of-staff",
        "location": "Detroit, MI, US / Los Angeles, CA, US / San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$150K - $225K",
        "equity_range": "0.05% - 0.10%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 105417,
        "title": "Member of Technical Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/E0MI9g4-member-of-technical-staff",
        "location": "Detroit, MI, US / San Francisco, CA, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$90K - $180K",
        "equity_range": "0.05% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 107628,
        "title": "Product Manager ",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/m0RJ4yi-product-manager",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $150K",
        "equity_range": "0.01% - 0.02%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109972,
        "title": "Operations",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/2K1qJqK-operations",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $200K",
        "equity_range": "0.01% - 0.10%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 114993,
        "title": "Manufacturing Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mKXeZyX-manufacturing-operations-associate",
        "location": "Detroit, MI, US / Los Angeles, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80 - $120K",
        "equity_range": "0.01% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115813,
        "title": "Social Media Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/z0TyIpq-social-media-manager",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$47.5K - $52.5K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115814,
        "title": "ML Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/ztSQcah-ml-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$152K - $168K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115815,
        "title": "Marketing Intern",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/vgy6xq3-marketing-intern",
        "location": "Los Angeles / Detroit",
        "type": "Internship",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$39.1K - $43.2K",
        "equity_range": "0.00% - 0.03%",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115816,
        "title": "Recruiter",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/0TsVTWN-recruiter",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$52.3K - $57.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115817,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/bDoZ7lp-software-engineer",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$154K - $170K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115818,
        "title": "Customer Success Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/7gwRK4c-customer-success-manager",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Support",
        "role_type": null,
        "salary_range": "$71.3K - $78.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115819,
        "title": "Inside Sales",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/6PLQ5fz-inside-sales",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$71.3K - $78.8K",
        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115820,
        "title": "Local Delivery Driver",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/9E0KMma-local-delivery-driver",
        "location": "Detroit / Los Angeles",
        "type": "Full-time",
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        "id": 115821,
        "title": "Material Handler (All Shifts)",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/85BjrW7-material-handler-all-shifts",
        "location": "Detroit",
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        "id": 115822,
        "title": "Factory Technician (All Shifts)",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/8GQRzy8-factory-technician-all-shifts",
        "location": "Detroit",
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        "id": 115823,
        "title": "Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/5XKeNrV-operations-associate",
        "location": "Detroit",
        "type": "Full-time",
        "role": "Operations",
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        "id": 115824,
        "title": "Recruiting Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mbSfJsO-recruiting-associate",
        "location": "Detroit / Los Angeles",
        "type": "Full-time",
        "role": "Recruiting & HR",
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        "experience": "5+ years",
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/RfPuIqI-manufacturing-engineer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/qyUf4GG-infrastructure-engineer",
        "location": "Los Angeles / Detroit",
        "type": "Full-time",
        "role": "Engineering",
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        "equity_range": "0.00% - 0.03%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/zDQVVxF-customer-commercial-product-manager",
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        "visa": "US citizen/visa only",
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        "title": "Chief of Staff",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/tE6KoQ2-chief-of-staff",
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        "id": 115834,
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/G7v3kr7-associate-supply-chain-engineer",
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/juVKRcx-material-handler-shipping-associate",
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        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/CI9z0fz-weekend-operations-associate",
        "location": "Detroit",
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        "title": "Plant Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/j3OhDNV-plant-manager",
        "location": "Los Angeles / Detroit",
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        "title": "Assistant General Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DDS033t-assistant-general-manager",
        "location": "Los Angeles / Detroit",
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        "location": "Los Angeles / Detroit",
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        "visa": "US citizen/visa only",
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        "title": "Accounts Receivable / Accounts Payable Specialist",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/mi3Hv4i-accounts-receivable-accounts-payable-specialist",
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        "title": "Saw Operator",
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        "title": "Full Stack Engineer",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/Y4KoiT9-full-stack-engineer",
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        "title": "Senior Finance Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/yRxyyOb-senior-finance-manager",
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        "title": "People Operations Associate",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/DQoH7Gg-people-operations-associate",
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        "id": 115852,
        "title": "Office Manager",
        "url": "https://www.ycombinator.com/companies/nox-metals/jobs/OoRm3au-office-manager",
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        "title": "NOX METALS Raises an $11.5M Seed Round to Reindustrialize America",
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        "id": 92971,
        "title": "NOX METALS: The modern metals supplier.",
        "tagline": "Modern metals factories to supply America's industrial base. ",
        "body": "**NOX METALS: The Factory is the Product**\\\nVertically integrated, automated metals factories built to move at software speed.\n\n**TL;DR:** Nox Metals is building the metals processing platform of the future. Our vertically integrated factories run on software and automation to deliver lightning-fast, low-cost metal to our customers. Our goal: power the next industrial era by becoming the fastest, most advanced supplier to America’s industrial base.\n\nLaunch Video: https://www.youtube.com/watch?v=X6qMjj4RMBQ\n\n## 🛑 The Problem\n\nEvery part, from aerospace components to automotive tooling, starts with raw metal. But the supply chain that delivers it hasn’t changed in decades:\n\n* **3–5 days** to get a quote from a broker.\n* **Multiple markups** between the mill and your shop.\n* **Slow fulfillment** with no visibility once you order.\n* **High overhead** baked into every part because of manual, fragmented workflows.\n\nThis slows down factories, raises costs, and makes American manufacturing less competitive.\n\n## ⚡ The Nox Metals Model\n\nWe don’t just _use_ factories, we build them to be the product.\n\n* **Orders in → Machines moving:** Your quote instantly becomes a job on our automated cutting line.\n* **Software + Automation:** Robots pick, cut, package, and label… removing human bottlenecks.\n* **Lower Overhead:** No layers of brokers, reps, and schedulers.\n* **Faster for You:** Shorter lead times, real-time tracking, and predictable delivery.\n\nLower overhead means better prices. Faster cycle times mean more throughput for your factory.\n\n## 📈 Why It Works for Customers\n\n* **Time:** Place orders in minutes, get delivery in days.\n* **Cost:** Reduced overhead on our end means better pricing for you.\n* **Certainty:** Every order tracked from quote to delivery.\n\n## 🛠 Who We Serve\n\n* Job Shops\n* OEMs\n* Tier 1/2/3 Suppliers\n* Aerospace, Defense, and Industrial Manufacturers\n\n## 💬 Ask\n\nWe’re live with aluminum plate and block today, expanding into steel, tube, and sheet next. If you run a factory and need raw metal faster and cheaper, let’s talk.\n\n📩 zane@noxmetals.co\\\n🌐 [noxmetals.co](http://noxmetals.co)\n\nWhen your factory needs metal, ours is already working.",
        "url": "https://www.ycombinator.com/launches/OBX-nox-metals-the-modern-metals-supplier",
        "votes": 33,
        "created_at": "2025-08-13T19:15:21.779Z"
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        "full_name": "Don Muir",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder / CEO @ F2\nCo-Founder @ Arc\n\nEx-PE investor turned entrepreneur, passionate about AI applications in finance",
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        "title": "Senior Software Engineer",
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]
