[ { "id": 28879, "name": "Menza", "slug": "menza", "former_names": [ "Latentspace" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f36c0f6ef0c008a938907cd0f96219f189f90d4.png", "website": "https://menza.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Menza is the AI data analyst for consumer brands. A brand like Hershey’s would connect all of their data sources and then we give them an AI analyst that works 24/7 looking for revenue opportunities, cost leaks, trends and anomalies.", "one_liner": "The AI data analyst for consumer brands", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1691019522, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/menza", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/menza.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/menzaai", "x_url": "https://x.com/menzaai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f36c0f6ef0c008a938907cd0f96219f189f90d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/12e6a79369c46173806bcc499d565cddd42e5668.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1218949, "full_name": "Qasim Munye", "title": "Founder", "founder_bio": "founder @ menza\n\nprev founder @ ShortlyAI (acquired by Jasper)", "is_active": true, "linkedin_url": "https://linkedin.com/in/qasim-munye-3b363a160", "x_url": "https://twitter.com/qasimmunye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42709a6b174ecf99fc906e863fa76d9fd66529d9.jpg" }, { "user_id": 1479724, "full_name": "Mariam Ahmed", "title": "Founder", "founder_bio": "Mariam is the Co-Founder and CTO of Menza. Fueled by a passion for problem-solving, she enjoys talking to users and trying to build solutions they'll love. Born and raised in New York City, she studied Computer Science at King's College London and started her career on the trading floor at Goldman Sachs. Ask about her best restaurant lists for London, NYC, and SF.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mariamaahmed/", "x_url": "https://twitter.com/RealMariamAhmed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f68740d88b20c6481a1ddd92e5b4c5b3f30690.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98513, "title": "Menza: The AI Data Team for Fast-Growing Brands 🚀", "tagline": "Menza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.", "body": "**100% customer retention since April 2025. +234.9% MRR growth since January 2026.**\n\nWe don't lose customers. Here's why.\n\n**TL;DR:** Menza connects all of your data sources (yes, even the ones without APIs) and then works 24/7 to surface insights, build reports, and catch what you'd otherwise miss. On average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n**Demo:**[ https://youtu.be/zPrKVEaVJqo](https://youtu.be/zPrKVEaVJqo)\n\n### **The Problem**\n\nConsumer brands are drowning in data spread across 20+ tools. The fix? Hire a data analyst. Then another. Then an engineer. Then a BI developer. This gets expensive very quickly, so many brands fly blind, missing revenue opportunities hiding in plain sight.\n\nCurrent AI tools fail to make the most of this data because:\n\n1. They cannot integrate with every platform a company uses, key data often resides in a niche tool.\n2. They are not proactive. At best, they automate recurring tasks but fail to adapt to shifting priorities. The most valuable insights come from identifying what’s important _right now_ for the business.\n\n### **The Solution**\n\n**Menza connects all of your data sources (yes, even the ones without APIs) to give you an AI data team that never sleeps.**\n\nMenza works 24/7 to surface insights, build reports, and catch what you'd otherwise miss.\n\n**What Menza has actually done recently:**\n\n📦 Found that a company was losing 10% of its total revenue from stockouts and built a plan to fix it.\n\n📧 Spotted a 34% email performance drop and traced it to a single flow change, informing the company before it had a major impact.\n\n🏆 Revealed that a brand's \"top-performing retail employees\" were just benefiting from heavy foot traffic and therefore being overcompensated.\n\n### **Why Brands Stay**\n\nOn average, our brands use Menza **every other day.** Our top users use Menza **more than 90% of weekdays in a month.**\n\n\"_Menza has allowed us to scale massively across the US with a lean team, which would not have been possible before._\"\\\n— Rosie Willis, Product & GTM, yhangry\n\n\"_Menza has really helped me understand my business better. It's found patterns where I didn't see them._\"\\\n— Laura Rudoe, Founder & CEO, Evolve Beauty\n\n### **The Team**\n\n**Dr. Qasim Munye (CEO & Co-Founder)**\n\nPreviously founded ShortlyAI, one of the first commercial LLM applications, acquired by Jasper in 2021. Built that company solo while finishing medical school at King's College London. Yes, a medical doctor!\n\n**Mariam Ahmed (CTO & Co-Founder)**\n\nStarted her career on the Goldman Sachs trading floor, where she sold $1.2B in custom institutional trades in a single year, working directly with large enterprise clients. Won the Alan Turing Centenary Prize at King's College London, and left finance to build the data platform she wished existed. Forbes 30 Under 30 (2025).\n\nWe've worked in finance, tech, and with fast-growing consumer brands. We've felt the pain of fragmented data firsthand.\n\n### **What We're Looking For**\n\nWe're looking for intros to consumer brands (CPG, DTC, food & beverage, beauty, fashion) doing $1M+ in revenue. If you know someone drowning in spreadsheets or flying blind on their data, send them our way.\n\n👉 Contact us at [founders@menza.ai](mailto:founders@menza.ai)\n\n![uploaded image](/media/?type=post&id=98513&key=user_uploads/1218949/00bd1cad-b641-4196-9209-f128ebca3be5)\n\n", "url": "https://www.ycombinator.com/launches/Pcv-menza-the-ai-data-team-for-fast-growing-brands", "votes": 1376, "created_at": "2026-03-06T21:00:59.295Z" }, { "id": 94402, "title": "Menza – The 24/7 Data Analyst for Consumer Brands ⚡", "tagline": "Never miss a revenue opportunity again. Learn what you need to know, when you need to know it.", "body": "At Menza, we help consumer brands see what they need to know, when they need to know it. With 24/7 data monitoring, Menza finds insights for our customers that they would have otherwise missed.\n\nWatch our demo: https://youtu.be/zPrKVEaVJqo\n\n# What Menza has done for our customers:\n\n* 💰 Identified a customer’s best-performing Facebook campaigns and suggested scaling by 20% to generate an **additional $12K in MRR**.\n* 🥵 Found that above 95°F (35°C), a national beverage chain’s iced drink sales dropped 18% as customers stayed indoors. During a heat wave, they were prompted to shift focus to delivery offers and adjust inventory, **cutting waste 12% and growing remote orders 22%**, turning a seasonal dip into growth.\n* 🏆 Revealed that a fashion brand’s top sales staff “performers” were simply scheduled on days with heavier foot traffic. By correcting for this bias, the brand **overhauled employee performance metrics** to measure true impact.\n\n# Here’s how it works:\n\n* Menza **monitors your data 24/7** across platforms like Shopify, Klaviyo, Xero, Google Ads, Facebook Ads, and many more (**650+ integrations**, to be exact).\n* Upon identifying insights (revenue opportunities, cost leaks, trends, anomalies), we surface them in **plain English, right when you need to know them**.\n* In the meantime, **anyone (technical _and_ non-technical)** can ask questions, create dashboards, receive reports, and build workflow automations seamlessly.\n\nThink of it like hiring an extra team member who has way too much time on their hands and never sleeps… and **at a fraction of the cost** (!!)\n\nBehind Menza is a small but mighty team of builders and operators obsessed with one thing: making data actually useful. We’ve worked in finance, tech, and with fast-growing brands, and we’ve seen the pain of fragmented, delayed insights firsthand. So we’re fixing it.\n\n# Now, here’s where you come in:\n\n* [**Start using Menza for free today**](https://menza.ai/)\n* **Follow us on socials**: [**LinkedIn**](https://www.linkedin.com/company/menzaai), [**X**](https://x.com/menzaai), and [**Instagram**](https://www.instagram.com/menzaai/)\n\nWe’re just getting started, but the vision is big: a world where operators don’t need to chase data because the right insight finds them first.\n\nLet’s make it happen.", "url": "https://www.ycombinator.com/launches/OYc-menza-the-24-7-data-analyst-for-consumer-brands", "votes": 728, "created_at": "2025-10-06T14:41:56.271Z" }, { "id": 73876, "title": "Latentspace - Your AI data assistant", "tagline": "Streamline work with the help of AI-powered assistants", "body": "Hey everyone! We're Qasim and Mariam from Latentspace and we are leveraging LLMs to build smart colleagues to help you get work done.\n\n**Tl;dr**\\\nUse Latentspace to get your spreadsheet work done, faster and smarter. Combining language models with your data to build the next generation of AI-powered assistants. Talk to our first assistant, Steve, the Data Assistant for instant data answers without asking your data team, writing an SQL query, or waiting.\n\n**❌ The Problem**\\\nYou are looking to make a data-driven decision or get a quick data insight.\\\nToday, you are probably:\n\n* Asking a data analyst who already has a full plate and will push the request to somewhere on their long list of “to dos”\n* Trying to figure out the right SQL query through plenty of trial and error \n* Maybe wanting to try out ChatGPT or other AI tools but cannot trust the results or are wary of company data being used to train their models\n\n**✨ Our Solution**\\\nSimply upload a CSV with your data and get instant insights. You can then ask our AI Data Assistant questions and keep the conversation going until you get the answers you want in a fraction of the time it usually takes.\n\nLatentspace has built a super smart AI colleague to help you get this kind of work done quickly. Our AI Data Assistant can help you…\\\n✅ Get instant data answers without asking your data team, writing an SQL query, or waiting\\\n🔎 Automatically spot anomalies, correlations, and trends in your data\\\n⚡ Enable stakeholders to self-service answers their own business questions\n\n![uploaded image](/media/?type=post&id=73876&key=user_uploads/1479724/a7485baf-3792-4fd2-b89a-479d74294677)\n\n**🙌 Our Asks**\n\n* Try our AI Data Assistant! We promise he is friendly and will try to answer your data questions quickly and thoroughly. \n* You can follow us on [Twitter](https://twitter.com/LatentspaceUK) or [LinkedIn](https://www.linkedin.com/company/latentspacedev). Our inboxes are always open.\n* Share with anyone you know who does a lot of spreadsheet work or may want to access data insights faster and smarter.\n* Also, if you have 10 minutes to chat about Latentspace, please book a time with us [here](https://calendly.com/mariam-ls) 😊", "url": "https://www.ycombinator.com/launches/JDY-latentspace-your-ai-data-assistant", "votes": 1966, "created_at": "2023-08-07T18:39:28.968Z" } ] }, { "id": 30620, "name": "Bidflow", "slug": "bidflow", "former_names": [ "Playdo.ai", "Ghostship" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb5bdff2af780675e7950b4a0fb5dcad2dfdc802.png", "website": "https://usebidflow.com", "all_locations": "New York City, NY, USA", "long_description": "We use AI to help electricians speed up the time it takes to submit a competitive bid to a job. We do this by scanning complex CAD drawings and 10X-ing the time it takes to estimate a job. This involves using vision models to read and count complex symbols in large PDFs, which typically take hours (sometimes days) to do precisely. Every missed symbol can cost thousands, and our AI can count to 99% accuracy.", "one_liner": "AI Takeoffs for Electrical", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1754285936, "tags": [ "SaaS", "Computer Vision", "Construction", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/bidflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/bidflow.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/110460044", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb5bdff2af780675e7950b4a0fb5dcad2dfdc802.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2ccef533b872120f2c409dfa7281f478dc5d02ff.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1512811, "full_name": "Jesse Choe", "title": "Founder/CEO", "founder_bio": "College dropout. Building AI software for electrical contractors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jc10/", "x_url": "https://x.com/jesse_choe10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df7d3df3631ef86be1acce92e6aa46ae90ba4344.jpg" }, { "user_id": 2694876, "full_name": "Gautham Ramachandran", "title": "Founder/CTO", "founder_bio": "taking care of change orders", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gautham-ramachandran-74b5712a4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7f61fd9ece592bdfecd3b2104c37e873db832e7d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96918, "title": "Bidflow - AI Copilot for Electrical Estimating", "tagline": "We use AI to help electricians compete for 4x more contracts", "body": "Hi!\n\nWe’re [Jesse](https://www.linkedin.com/in/jc10/) and [Gautham](https://www.linkedin.com/in/gautham-ramachandran-74b5712a4/), and we’re building [Bidflow](https://usebidflow.com/) to help electricians bid on more jobs. Bidflow is an AI copilot that helps electrician companies sift through tedious documents and automate the repetitive work that goes into quoting a job.\n\nAsk: Do you know any electrical contractors? If so, introduce us at [founders@tryghostship.dev](mailto:founders@tryghostship.dev) or [book a demo with us](https://calendly.com/jessechoe10/demo-with-bidflow).\n\n# The Problem\n\nElectrical estimating - the process of figuring out how much an electrical construction project will cost is super tedious and can take anywhere from a few hours to months. Imagine reading through 500-page PDFs, counting hundreds of small symbols per page on 50 pages of complicated circuits, and manually entering thousands of numbers on slow, legacy software.\n\nElectrical estimators do this process everyday but manually, and most of the time, they lose the job by a small margin. Estimating is the only way electrical contractors make revenue, and they do it manually because one mistake can cost thousands of dollars and they need to be careful!\n\n# Our Solution\n\nBecause estimating is such a careful process, electrical contractors still do everything manually, especially because AI is hard to trust. That’s why we built Bidflow - an AI copilot for electrical estimating that serves as an assistant not a replacement.\n\nBidflow is designed with context to think like an electrician and most importantly, show the estimator “proof of work”, turning the estimators job more into reviewing the AI’s mistakes. We’re able to process all of your project documents and save you time in reading through hundreds of pages of fine print.\n\nBidflow also has the same features as the legacy softwares these estimators use, but it combines everything together, making it an all-in-one platform that also saves estimators time switching between the softwares.\n\n\n\n### Our Team\n\nWe decided to target electrical contractors because we both have family in the industry who’ve complained about how slow work has been. We then decided to go door-to-door in the Bay Area and got our first design partner.\n\nJesse (CEO, right) - **Top 1%** competitive coder in the US; **Jane Street** extern. Gautham (CTO, left) - Bootstrapped to **$120K** at **16**.\n\n![uploaded image](/media/?type=post&id=96918&key=user_uploads/1512811/3c223688-5b55-49b7-b1bf-e08439b4b1e4)\n\n### Why Now?\n\nConstruction is picking up in the United States, and the demand for electrical work is going up due to the data center boom. New data centers are being built left and right, meaning there’s a lot of electrical construction projects in the market. A huge boost in estimating efficiency would give the faster electrical contractors a huge advantage in winning jobs, and with AI agents getting better now more than ever, now is the time to bring AI into the electrical estimating workforce.", "url": "https://www.ycombinator.com/launches/PDC-bidflow-ai-copilot-for-electrical-estimating", "votes": 16, "created_at": "2026-01-19T04:48:20.442Z" }, { "id": 92813, "title": "Ghostship - QA agents to find bugs in your product", "tagline": "Ghostship helps you 10x your UX by catching bugs before production.", "body": "Hey guys! \n\nWe're [Jesse](https://x.com/jesse_choe10) and [Gautham](https://x.com/TheGauthamRam), and we're building [Ghostship](https://tryghostship.dev/?utm_source=yc&utm_medium=launch&utm_campaign=yc_s25) to help you never ship a bug again. Ghostship spins up AI agents to find bugs in your product by crawling through your interface and simulating users.\n\nAsk: Do you care about shipping a good user experience? You definitely should and if so, email us at [founders@tryghostship.dev](mailto:founders@tryghostship.dev) or [book a demo with us](https://calendly.com/jessechoe10/demo-with-ghostship-yc-s25).\n\n# The Problem\n\nTo grow quickly, you probably rush shipping new features, which often introduces bugs and causes customer churn. Current solutions like manual testing is expensive and slow and automated testing is flaky.\n\n# Our Solution\n\nImagine a QA team of 5,000 testers available 24/7 on every new feature you ship. That's Ghostship, but we use AI agents. \n\nOur agents will crawl through your product and interact with it like users would to find the bugs (especially edge cases) that lead to churn—all at a fraction of the cost.\n\nHere’s a demo video of our product:\n\nhttps://youtu.be/THa43hQMDEU\n\nOur Team\n\n**TL;DR: We are competitive programmers that never finished college, so we're all in on Ghostship.**\n\nJesse (CEO, right) - Jesse was a **top 1%** competitive coder in the US and was the **first high schooler** to write competitive coding questions. He was a **Jane Street** intern at **18** before dropping out.\n\nGautham (CTO, left) - Gautham was a **top 5%** competitive coder in the US. He also has 3 preprints related to **reinforcement learning** in the **ICML** conference and bootstrapped his way to **$120K** at **16**.\n\n![uploaded image](/media/?type=post&id=92813&key=user_uploads/1512811/b271ce7f-ac3f-465c-95b6-0fe28b05a408)\n\nBoth of us have been developers for more than half our lives, and we've experienced the pain of shipping bugs throughout our lives. We want to solve this problem once and for all, and make developers' lives way easier.\n\n# Our Ask\n\n\\- Follow us on [LinkedIn](https://www.linkedin.com/company/ghostship), [X](https://x.com/ghostship_ai), and [book a demo](https://calendly.com/jessechoe10/demo-with-ghostship-yc-s25) with us.\n\n\\- **Share this post!** - If you know any startup founders who are having trouble with growth due to technical debt or product people (PMs, QAs, etc.) at larger companies who care about shipping quality, please share this post with them.\n\n\\- Visit [our website](https://tryghostship.dev/) for more info.", "url": "https://www.ycombinator.com/launches/O8z-ghostship-qa-agents-to-find-bugs-in-your-product", "votes": 132, "created_at": "2025-08-07T19:28:30.592Z" } ] }, { "id": 30635, "name": "Galactic Resource Utilization Space, Inc. (GRU Space)", "slug": "galactic-resource-utilization-space-inc-gru-space", "former_names": [ "Galactic Resource Utilization Space, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee5f921620382e78c7f4ce4082b655aed675702d.png", "website": "https://gru.space", "all_locations": "Los Angeles, CA, USA", "long_description": "GRU Space is building permanent lunar infrastructure to make humanity interplanetary within our lifetime, starting with the first hotel on the Moon. In just 6 weeks, we built the world's first Moon factory: patent-pending hardware that turns lunar regolith into bricks and inflates modular pressurized habitats designed to withstand lunar temperature and pressure extremes. \r\n\r\nOur first mission lands on the Moon in 2027 to demonstrate in-situ brick manufacturing and habitat deployment. A second mission lays the hotel's foundation inside a lunar cave, and a third opens the first lunar hotel, targeted for 2032. \r\n\r\nWe don’t stop at Moon hotels. GRU’s long-term plan:\r\n\r\n1. Build the first hotel on the Moon. GRU solves off‑world surface habitation.\r\n2. Become the Moon Base Company of America: build roads, mass drivers, warehouses, and physical infrastructure.\r\n3. Repeat on Mars and build the first cities there.\r\n4. Own property on the Moon and Mars as these economies grow.\r\n5. Reinvest profits into resource utilization systems on the Moon, Mars, asteroids, and beyond—reaching our final form: Galactic Resource Utilization.\r\n\r\nGRU Space is backed by investors in SpaceX and Anduril, is part of Nvidia's Inception program, and our launch generated 1B+ views across 60+ countries, earning invitations to the White House, Senate, and Pentagon. ", "one_liner": "Moon Hotel -> The Intergalactic Construction Company of Earth", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1767740329, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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/galactic-resource-utilization-space-inc-gru-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/galactic-resource-utilization-space-inc-gru-space.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/galactic-resource-utilization-space-inc/?viewAsMember=true", "x_url": "https://x.com/gru_space", "fb_url": "https://www.facebook.com/profile.php?id=61585803737914", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee5f921620382e78c7f4ce4082b655aed675702d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5f84bbc2183186e3d75bce0f37e88bd4a11fcba1.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1068741, "full_name": "Skyler Chan", "title": "Founder/CEO", "founder_bio": "Skyler (Founder & CEO) graduated early from Berkeley EECS to make humanity interplanetary in our lifetime. Previously, Skyler built vehicle software @ Tesla, built a NASA funded 3D-printer launched into space, and authored at the world’s largest space conference. Air Force-trained pilot at 16, aspiring astronaut since 3. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/skylerchan03/", "x_url": "https://x.com/skyler_chan_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/446aef4d9bdfe6ec7e7953c4475e3553929d60eb.jpg" } ], "jobs": [ { "id": 92566, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/BPAqbIe-mechanical-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $170K", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 92567, "title": "Founding Lunar Avionics / Electronics Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/XwpIv3E-founding-lunar-avionics-electronics-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$125 - $175", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "C", "C++" ] }, { "id": 92568, "title": "Thermal / Structures Engineer", "url": "https://www.ycombinator.com/companies/galactic-resource-utilization-space-inc-gru-space/jobs/zibQKVl-thermal-structures-engineer", "location": "Hawthorne, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120 - $170", "equity_range": "0.25% - 0.75%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This company is taking $1 million reservations for hotel rooms on the moon | Space", "url": "https://www.space.com/astronomy/moon/this-company-is-taking-usd1-million-reservations-for-hotel-rooms-on-the-moon", "date": "Jan 13, 2026" }, { "title": "Want to vacation on the moon? GRU Space opens $1M reservations | ChicagoLIVE | FOX 32 Chicago", "url": "https://www.fox32chicago.com/video/fmc-yuavqe6lzh3pa4pq", "date": "Jan 13, 2026" }, { "title": "GRU Space Opens Bookings for Planned Lunar Hotel", "url": "https://payloadspace.com/gru-space-opens-bookings-for-planned-lunar-hotel/", "date": "Jan 12, 2026" }, { "title": "This 22-year-old founder is building the world's first hotel on the Moon", "url": "https://www.founded.com/meet-the-22-year-old-founder-building-the-worlds-first-hotel-on-the-moon/", "date": "Jan 12, 2026" }, { "title": "You can now reserve a hotel room on the Moon for $250,000 - Ars Technica", "url": "https://arstechnica.com/space/2026/01/you-can-now-reserve-a-hotel-room-on-the-moon-for-250000/", "date": "Jan 12, 2026" } ], "launches": [ { "id": 98679, "title": "GRU Space - The Moon Factory", "tagline": "GRU's Moon Factory will build the world's first bricks on the Moon & permanent lunar infrastructure.", "body": "In just 6 weeks, GRU Space built the world’s first [Moon Factory](https://youtu.be/k9X7TuAxNrw) for under $5,000. GRU’s patent-pending prototype autonomously: \n\n• mines lunar soil (regolith)
 \n\n• refines it using a geopolymer process
 \n\n• turns it into structural bricks to build lunar infrastructure GRU has also built a patent-pending modular inflatable habitat designed to withstand the temperature and pressure extremes on the Moon. \n\nCombining with the Moon Factory, it forms the basis of the first lunar hotel, Moon base, and ultimately, permanent lunar infrastructure. \n\nBefore GRU, lunar habitats can only be built on Earth. At hundreds of thousands of dollars per kilogram, that makes large-scale lunar bases nearly impossible. \n\nHumanity has not built a product on the Moon yet. At GRU, we are changing that. \n\nAs early as next year, GRU will land a small-scale version of their factory & inflatable on the Moon. \n\nHumanity cannot become interplanetary until we solve off-world surface habitation. Once solved, it will become the Promethean moment that will enable billions of human lives to be born on the Moon and Mars.", "url": "https://www.ycombinator.com/launches/Pfb-gru-space-the-moon-factory", "votes": 21, "created_at": "2026-03-10T22:44:10.081Z" }, { "id": 96700, "title": "GRU Space: First Hotel on the Moon - Applications Open 🌕", "tagline": "Building the First Hotel on the Moon", "body": "**TL;DR: You can now book a Hotel on the Moon for 2032.**\n\nGRU Space (YC W26) is building off-world habitats starting with a hotel on the Moon. Learn more in this [video](https://youtu.be/GOwUlkNw8eg) and apply to stay at [gru.space/reserve](https://gru.space/reserve)\n\n**🌕 About GRU**\n\nGRU develops in-situ resource utilization technology, transforming local lunar material into durable building structures. The first habitat is a lunar hotel for space tourists, targeting opening in 2032. From there, GRU aims to lay the foundation for America’s Moon base, future Mars cities, and a truly interplanetary civilization. **More in our [Whitepaper](https://gru.space/wp).**\n\n⚙️ **The GRU Team**\n\nHey, I’m [Skyler](https://www.linkedin.com/in/skylerchan03/), founder of GRU Space. I’ve wanted to fly to space since I was 3, and was an Air Force trained pilot at 16. Realized building technology to enable everyone to go to space felt more meaningful than just enabling myself to go to space, I dove into hardware and software and started my undergrad at Berkeley EECS. I worked on vehicle software at Tesla, built a NASA funded 3D printer that launched into space aboard Virgin Galactic, and authored at the world’s largest space conference (IAC 2025). GRU’s growing early team consists of former Ethos Space CTO and Colorado School of Mines professor Dr. Kevin Cannon (first founding Member of Technical Staff) and Dr. Robert Lillis (Advisor) who was the Principal Investigator of the latest NASA Mars mission that launched on Blue Origin’s New Glenn, [**ESCAPADE**](https://science.nasa.gov/blogs/escapade/2026/01/07/nasas-escapade-spacecraft-completes-trajectory-maneuver/).\n\n**⭐ GRU’s path to a Trillion Dollar Company:**\n\nWe don’t stop at Moon hotels. GRU’s Master Plan:\n\n1\\. Build the first hotel on the Moon. GRU solves off‑world surface habitation.\n\n2\\. Build America’s first Moon base: roads, mass drivers, warehouses, and physical infrastructure.\n\n3\\. Repeat on Mars and build the first cities there.\n\n4\\. Own property on the Moon and Mars as these economies grow.\n\n5\\. Reinvest profits into resource utilization systems on the Moon, Mars, asteroids, and beyond—reaching our final form: Galactic Resource Utilization.\n\nThe next trillion-dollar company will be in human infrastructure: building the first cities on the Moon, Mars, and beyond. If we succeed, we will enable billions of human lives to be born.\n\n✅ **Asks:**\n\n1. **Apply to stay on the Moon at** [gru.space/reserve](https://gru.space/reserve).\n2. **Government intros**: we need your help to make GRU the ones to build America’s Moon base.\n3. **Enterprise intros:** companies that want to be the first brand in their field on the Moon. Think F1 sponsors, but on the Moon.\n4. **Change the world.** ", "url": "https://www.ycombinator.com/launches/P9g-gru-space-first-hotel-on-the-moon-applications-open", "votes": 122, "created_at": "2026-01-12T13:39:30.212Z" } ] }, { "id": 30639, "name": "Signals", "slug": "signals", "former_names": [ "Material Model", "Return Signals" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/487ac0ad9f618f937dd875c80053d719f8a25d07.png", "website": "https://www.returnsignals.com", "all_locations": "San Francisco, CA, USA", "long_description": "Signals is a new iMessage revenue channel for DTC ecommerce brands that gets customers to buy again. After a purchase, we open a real two-way conversation over iMessage, the channel customers actually read and reply to, and turn it into repeat revenue. In A/B tests, that drives ~$30 in average incremental repeat revenue per conversation. ", "one_liner": "iMessage revenue channel for DTC brands that brings customers back", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771009461, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/signals", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/signals.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/return-signals/", "x_url": "https://x.com/returnsignalshq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/return-signals", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/487ac0ad9f618f937dd875c80053d719f8a25d07.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 426067, "full_name": "Ilya Valmianski", "title": "Founder/CEO", "founder_bio": "Co-Founder Signals. 2x founder. Previously built AI patient intake at Kaiser Permanente, medical ChatGPT before ChatGPT at Curai Health, and co-founded MDandMe. Physics PhD.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ilya-x-valmianski/", "x_url": "https://x.com/valmianski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58c150621138f81bcbe9507fa9e725154033ca5e.jpg" }, { "user_id": 2153216, "full_name": "Alejandro Zaniolo", "title": "Founder", "founder_bio": "Co-founder at Signals. I like building things from the ground up. Previously helped take two startups from 0 - 1: one was acquired by Blueground, and another grew 6x YoY to $40M ARR and became profitable by the time I left.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alejandrozaniolo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8355f517f3763a38e860dccd66c5bca0264a9081.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98031, "title": "Return Signals - proactive high-touch support for e-commerce brands", "tagline": "AI-powered post-purchase messaging that reduces returns and increases repeat purchases for e-commerce brands.", "body": "Hey everyone 👋\\\n\\\nWe’re [Alejandro](https://www.linkedin.com/in/alejandrozaniolo/) and [Ilya](https://www.linkedin.com/in/ilya-x-valmianski/), cofounders at [Return Signals](https://www.returnsignals.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch).\n\n\\\n\\\nOver $1T in apparel, footwear, and accessories is sold online. $300B of that gets returned. We believe many of these returns are driven by a poor post-purchase customer experience.\n\nThis is why we are building an AI-powered luxury concierge that lets brands proactively check in with customers via SMS when their items are delivered.\n\nThis high-touch experience drives 5–10% absolute margin uplift while improving CSAT and LTV.\n\nWe intelligently recommend appropriate exchanges when customers are unsatisfied. Our texts achieve very high response rates (over 80% of eventual returns), and convert 70% of return intents into exchanges. All this without increasing the combined exchange and return rate.\n\nBecause exchanges preserve revenue, our customers retain most of the original sale value.\n\n![uploaded image](/media/?type=post&id=98031&key=user_uploads/426067/646f2437-889f-46f3-a6e4-ecb5a9eb058a)\n\nWe achieve over 95% positive sentiment in our interactions (and almost no negative interactions), with many customers spending multiple messages thanking our bot and developing a personal relationship 🙂\n\nOn the backend, we offer comprehensive analytics, including agentic search, which lets brands ask any question and have our AI read through thousands of conversations to find the right answer.\n\n![uploaded image](/media/?type=post&id=98031&key=user_uploads/426067/536a151f-92a8-4129-bd04-bdb5ed55c023)\n\n**Our backstory**\n\nAlejandro’s family ran two apparel brands in the US (200+ brick-and-mortar stores) that also sell online. Through this, we discovered two things:\n\n1. **The post-purchase customer experience is broken:** brands rarely check in proactively after delivery, which often leads to poor customer experiences, churn, or refunds. Most communication is limited to order tracking, upsells (“get 25% off”), or review requests. There is rarely a true high-touch experience.\n2. **Returns are a major pain point for e-commerce brands:** in the retail industry, returns are \\~25%, and reducing them directly impacts absolute margin. This is a significant problem for brands.\n\nIlya is a 2nd-time founder with deep expertise in building conversational systems, including leading the development of the largest US clinically deployed patient-facing chatbot. As somebody who buys almost all of his clothes online, he’s been flabbergasted by how bad the support experience has been, even with AI assistants like Amazon Rufus. There has to be a better way, and that’s why we decided to build Return Signals.\n\n**Our ask**\n\n* If you have contacts at e-commerce brands (e.g., Shopify merchants) with high return rates in categories such as apparel, footwear, accessories, etc., we would greatly appreciate an intro!\n* If you or someone you know has experience in retail e-commerce customer service or has felt the pain of high returns, we’d love to speak with them.\n\nReach out at [alejandro@returnsignals.com](mailto:alejandro@returnsignals.com) and  [ilya@returnsignals.com](mailto:ilya@returnsignals.com)!", "url": "https://www.ycombinator.com/launches/PV9-return-signals-proactive-high-touch-support-for-e-commerce-brands", "votes": 29, "created_at": "2026-02-23T08:27:32.210Z" } ] }, { "id": 30641, "name": "Overdrive Health", "slug": "overdrive-health", "former_names": [ "Overdrive Health", "Overdrive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f6d5714c40148baca15996e7bc186b870ee0af4.png", "website": "https://overdrive.health", "all_locations": "New York City, NY, USA", "long_description": "Overdrive Health offers AI powered medical billing services, helping providers get paid more money in less time. Our technology enables us to provide the best quality insurance and patient billing services for a fraction of the usual cost", "one_liner": "AI-Native Medical Billing Services", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1761922527, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/overdrive-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/overdrive-health.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/overdrive-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f6d5714c40148baca15996e7bc186b870ee0af4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1015738, "full_name": "Michael Schroeder", "title": "Founder/CTO", "founder_bio": "Michael is founder and CEO at Overdrive Health. Previously he worked building AI agents at healthcare unicorn EliseAI, and has a history of automating operations across real estate and recruiting at Up&Up and Citadel.", "is_active": true, "linkedin_url": "https://linkedin.com/in/michael-schroeder-217513bb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/840847dc97a6fdd520dbd9e6fe36789e1131cd29.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98404, "title": "Overdrive Health | AI-Powered RCM for Ambulance Agencies", "tagline": "We collect more money, in less time, at a fraction of the cost", "body": "Hey everyone 👋 I’m [Michael Schroeder](https://www.linkedin.com/in/michaelschroeder-/), and I’m the founder of [Overdrive Health](https://www.overdrive.health).\n\n**TL;DR:**\n\n[**Overdrive Health**](https://overdrive.health/) is automating the entire medical billing and RCM lifecycle in order to offer higher quality outsourced billing services, starting with the **$2bn ambulance billing industry** (U.S. ambulance industry is $40bn). If you know any fire chiefs/city managers, practice owners in any specialty, or have connections to EHR/ePCR companies, please reach out!\n\n\n\n**Problem:**\n\nHealthcare providers spend somewhere between 2% and 10% of their revenue in order to get paid for services they have already provided. It can take a few weeks to several months (to never…) for them to get this money, and often requires hours and hours of manual work in order to get the claims actually paid.\n\nThe process is so complicated that the providers have 2 options: hire a small army of medical billers in-house in order to submit their claims to the insurance company, or pay a 3rd party up to 10% of their revenue to handle the claims for them, with little visibility into what is actually going on. Neither of these are great options; with the in-house route, providers spend countless hours interviewing, training and managing a team of people in an area that they don’t even have an expertise in, or they have to hope that some 3rd party will really chase every single dollar for them (guess what: they won’t).\n\n**Solution:**\n\nOverdrive Health is an AI-native, full-stack medical billing company that can actually afford to go after every single dollar that a provider is owed. By automating time-consuming tasks like insurance company phone calls, documentation quality checks, benefit verification and a slew of others, even a $100 claim becomes profitable for us to collect, which means our **incentives are truly aligned**. We can collect money **faster** than a traditional billing company, while maintaining **consistent, high-quality collections percentage** by utilizing a small team of expert billers behind our AI systems.\n\n**Where we are now**:\n\nWe are acquiring a traditional ambulance billing agency that serves \\~20 ambulance providers, doing over **$50mm in claims/yr**. Since launching our AI agents, their revenue per FTE has **nearly doubled**.\n\n**Where we are going:**\n\nThe **$2bn EMS billing space** is just the beginning. We think that the technology and systems we’re building will be broadly applicable across all medical verticals, and we hope to provide the best possible RCM experience to all healthcare providers. If you know anyone in the EMS/ambulance space, or anyone who owns their own private practice in another medical vertical, please reach out to me at [**michael@overdrive.health**](mailto:michael@overdrive.health).\n\n**Our Ask:**\n\n* Follow us on [LinkedIn](https://www.linkedin.com/company/overdrive-health/)\n* **Share this post!** If you know anyone in the EMS or NEMT world, or any private practice owners, please share this with them!\n\n![uploaded image](/media/?type=post&id=98404&key=user_uploads/1015738/0cb53421-232e-4c14-a5a2-ca1b3a69e47b)\n\n", "url": "https://www.ycombinator.com/launches/PbA-overdrive-health-ai-powered-rcm-for-ambulance-agencies", "votes": 49, "created_at": "2026-03-03T17:50:02.716Z" } ] }, { "id": 30715, "name": "Autumn", "slug": "autumn-ai", "former_names": [ "Chiral Labs", "Autumn AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9869ac74d16e219c2c3c7a63c96b676e8281762.png", "website": "https://autumn.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Autumn builds research agents that answer questions about people and companies at scale. These AI agents are powered by a live index of over 1 billion people, 100 million companies, and state-of-the-art web research tools. Autumn is already in production with enterprise teams at Brex, Rippling, PostHog across sourcing, enrichment, and identity-verification workflows.\r\n\r\nWe are a small, highly-technical team. Our vision is to be the search engine that agents use when they need to understand people, their networks, and professional lives.", "one_liner": "The people-intelligence company.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770313792, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autumn-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/autumn-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autumn-ai-inc/", "x_url": "https://x.com/autumn_ai_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e9869ac74d16e219c2c3c7a63c96b676e8281762.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2663239, "full_name": "Vishnu Sampathkumar", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ Autumn AI (W26)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vishnu-sampathkumar/", "x_url": "https://x.com/VishnuSampathk1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c143a3866c4750a8447b594870391f423d50d7a1.jpg" }, { "user_id": 2136449, "full_name": "Shiv Kampani", "title": "Founder", "founder_bio": "Co-founder, CTO @ Autumn", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivkampani", "x_url": "https://x.com/shiv_kampani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/240d6b0be46645e6a61ba02acca71a6dcdc5f620.jpg" } ], "jobs": [ { "id": 116933, "title": "Harness Lead", "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/gj5dGt0-harness-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$140K - $220K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116934, "title": "Search Lead", "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/Zwr7HGy-search-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$180K - $300K", "equity_range": "1.00% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117418, "title": "Founding Growth", "url": "https://www.ycombinator.com/companies/autumn-ai/jobs/YOGxz3Z-founding-growth", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.20% - 0.70%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97547, "title": "Autumn AI: Stalk your prospects at scale.", "tagline": "Autumn is building the first real-time signal intelligence platform for GTM teams.", "body": "Hi, we’re Vishnu and Shiv, and we’re super excited to introduce Autumn! \n\n**Tl;dr.** GTM teams waste hours manually tracking prospects across the internet. Autumn gives you a live feed of your entire target universe, so you're always first to know and first to act.\n\n\n\n**The problem.** Your best prospects are already telling you when and how to sell to them through posts, tweets, commits, blogs. These signals are valuable but decay fast. To catch signals in real time, you'd need to monitor dozens of sources per person, synthesize unstructured content across platforms, and surface intent the moment it appears. This is tedious for one prospect; imagine trying a few thousand.\n\n**The solution.** Autumn tracks your prospects across the internet, at scale. Define your ICP and the signals that matter, and we deliver a condensed, real-time feed filtered by intents. Connect to email or Slack and get notified the moment a target prospect's behavior matches. Here are some workflows that Autumn is optimized for:\n\n* **Incorporation prospecting:** Surface new startup founders as soon as they incorporate their companies and track early signals around banking, payroll, ML infra.\n* **Enterprise account monitoring:** Build org trees and track entire departments within target accounts to see buying signals emerge across the org. \n* **Conference prep:** Monitor attendee lists ahead of events and prioritize outreach to the people already showing interest in what you sell.\n\n![uploaded image](/media/?type=post&id=97547&key=user_uploads/2663239/08071f20-30cb-4045-88e4-078e13e9a1a4)\n\n**The team.** We met on the first day of orientation at Columbia and we've been best friends ever since. Shiv is an AI researcher who presented at NeurIPS after a research stint with SandboxAQ. Vishnu built sourcing tech for VC firm Sierra Ventures and worked as an ML engineer for Modulus, an AI security startup.\n\n**Our ask.** If you’re a founder or GTM leader interested in prospect tracking at scale, we’d love to talk to you. Feel free to book a time on our [Calendly](http://calendly.com/founders-autumnai/30min-1) or email us at [founders@autumnai.com](mailto:founders@autumnai.com).", "url": "https://www.ycombinator.com/launches/PNL-autumn-ai-stalk-your-prospects-at-scale", "votes": 33, "created_at": "2026-02-05T18:35:28.767Z" } ] }, { "id": 30765, "name": "Pollen", "slug": "pollen", "former_names": [ "Daymi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0773674b66df3e340de671d0a00eeaa6701eeca.png", "website": "https://www.pollen.cx/", "all_locations": "San Francisco, CA, USA", "long_description": "Pollen gives firms an AI employee trained on their exact workflows.", "one_liner": "AI employees trained on your firm's workflows.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1754592638, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pollen", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pollen.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pollencx", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c0773674b66df3e340de671d0a00eeaa6701eeca.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": 2573316, "full_name": "Noah Yin", "title": "Founder/CEO", "founder_bio": "CEO @ Pollen | CS grad @ UC Berkeley | Integrated ML in Amazon Maps app used by 100k+ Prime drivers | Published 6 apps with cofounders | Conducted ML research on COVID-19 classification at Columbia. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noah-yin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44123a3b1ce6c2445b3e9b49a6b0831d04572c0e.jpg" }, { "user_id": 1038024, "full_name": "Aldrin Ong", "title": "Founder/CTO", "founder_bio": "Engineering @ Pollen. Berkeley CS '25. Aldrin worked at AWS as a SWE twice, where he implemented AI context retrieval pipelines and search indices, serving 3M users. Started building iOS and android apps at 15 and published 3 apps on the App Store. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aldrin0n9/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d466ebc21fe26a7f4bb9f0c0cd788e182c62049.jpg" }, { "user_id": 2774836, "full_name": "Jeffrey Yum", "title": "Founder/COO", "founder_bio": "Co-Founder & COO @ Pollen | Berkeley EECS | Ex. LLNL | AI employees for document-heavy firms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeffreyyum/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7aa3d749bab145851744e7cc030369dc524eb76e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97932, "title": "Pollen: AI agents for customer success", "tagline": "AI agents that make every customer feel like they’re your first.", "body": "Hey everyone 👋\\\n\\\nWe’re[ Noah](https://www.linkedin.com/in/noah-yin/),[ Jeffrey](https://www.linkedin.com/in/jeffreyyum/), and[ Aldrin](https://www.linkedin.com/in/aldrin0n9/) - Co-founders of [**Pollen**](https://www.pollen.cx/).\\\n\\\n**TL;DR:** Pollen monitors every customer account 24/7 with AI agents that catch churn, spot upsells, and tell your team exactly what to do next.\n\n* **Connects to your stack** - email, support tickets, product usage, CRM, and external news feed into one unified view of account health\n* **AI agents watch every account** - detecting churn risks and upsell opportunities as they emerge\n* **Tells you exactly what to do** - prioritized list of accounts and suggested actions with context\n* **Act without leaving Pollen** - draft emails, prep QBR decks, build renewal strategies, or chat with Pollen to get instant answers across your entire book of business\n\n**The Ask:** Know a Founder, CS leader, or Head of Revenue who's scaling their team and losing sleep over churn?\\\n**Introduce them to us!** Reach out directly: [**founders@pollen.cx**](mailto:founders@pollen.cx) / book a demo[ here](https://cal.com/pollencx/pollen-demo).\n\n\n\n**❌ The Problem**\n\nCompanies invest millions acquiring customers, but the customer success teams responsible for retaining and growing them are stretched thin - managing 40+ accounts each, piecing together signals across 5+ sources. Churn risks go unnoticed, and expansion opportunities are left on the table.\n\nOur team spent months shadowing CSMs, sitting in on QBRs, and studying how accounts slip through the cracks.\n\n**The same patterns kept showing up:**\n\n* Watching healthy-looking accounts churn because no one caught the warning signs in time\n* Spending hours prepping QBRs with stale data pulled from five different tools\n* Hiring more CSMs as the only way to maintain coverage\n* Knowing the signals existed, just not having the bandwidth to act on them\n\n**Why hasn't this been solved?**\n\nBecause existing CS platforms are dashboards, not teammates. They organize data but still depend entirely on humans to monitor, interpret, and act across every account. The industry's answer to more customers has always been more headcount, which doesn't scale.\n\n**✅ Our Solution**\n\nPollen gives every customer account its own AI agent. We connect to your email, support tickets, product usage data, and external news to **detect real churn and upsell signals.**\n\nThen, Pollen flags exactly **which accounts need attention today, why, and what to do next.** Need to send a re-engagement email? Pollen drafts it. Prepping for a QBR? Pollen builds the deck. Wondering which accounts are most at risk this quarter? Just ask.\n\nNo more busy work or scaling headcount just to keep relationships alive. Pollen’s goal is to make every customer feel like they're your first.\n\nWe're already monitoring accounts for companies that are scaling their CS motion with Pollen. We've caught usage dips, support ticket sentiment shifts, and even expansion signals like new office openings. These were all signals the CS teams didn't have the bandwidth to find.\n\n**👬 The Team**\n\nWe're **Noah** (Berkeley CS), **Jeff** (Berkeley EECS), and **Aldrin** (Berkeley CS), a team of college friends and founders who've been shipping products together for 4 years, now building the agentic platform for customer success.\n\n![uploaded image](/media/?type=post&id=97932&key=user_uploads/2573316/b2ccf6c9-04e6-4650-81e7-3e50672971a1)\n\n", "url": "https://www.ycombinator.com/launches/PTY-pollen-ai-agents-for-customer-success", "votes": 25, "created_at": "2026-02-18T21:25:06.621Z" } ] }, { "id": 30770, "name": "Button Computer", "slug": "button-computer", "former_names": [ "Vibe Code Go" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd3ef287c6a9d9e31ec9e8347a2eeae128d1893d.png", "website": "https://buttoncomputer.com", "all_locations": "San Francisco, CA, USA", "long_description": "We’re launching a small hardware device: a button that you clip to your shirt. You press it to talk to AI, and it responds instantly.", "one_liner": "The tiny computer built for voice AI.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1755546681, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/button-computer", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/button-computer.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/buttoncomputer", "x_url": "https://x.com/buttoncomputer", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/buttoncomputer", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd3ef287c6a9d9e31ec9e8347a2eeae128d1893d.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": 1273646, "full_name": "Chris Nolet", "title": "Founder/CEO", "founder_bio": "I was previously a Staff SWE at Apple, where I worked on the Vision Pro. Although I've spent much of my career on software, I have a background in mechanical engineering, and a deep passion for product design. I'm a second-time founder and former venture partner. Now I'm working on conversational computing, and I'm excited to bring voice AI to the masses.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisnolet", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1aff4ca15a111af415aaad465abc2671cb2bdc6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98398, "title": "Button is the fastest way to chat with AI", "tagline": "The tiny computer built for AI", "body": "Hey YC!\n\nWe’re Chris and Ryan from Button Computer. We’re dropping some new hardware!\n\n\n\n# **TL;DR**\n\nToday we’re launching a small hardware device: a button that you clip to your shirt. You press it to talk to AI, and it responds instantly.\n\nIt’s a computer. You wear it. You talk to it. It’s a companion device for your phone and laptop.\n\nBut it also runs ‘voice apps’ with an architecture that’s specifically designed for _speed_ – because when you’re talking to your computer, everything needs to be **instantaneous.** We’re obsessed with latency. Button is by far the fastest voice AI experience we’ve tried.\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/22d485b8-deff-468f-bd83-70b758432e34)\n\n# **What makes Button unique**\n\nEvery computer that you use today was designed before AI. Your phone. Your laptop. Your watch. They were all built for a world before LLMs. Button really is the first piece of hardware designed exclusively to give you instant access to voice AI. And when you build something from the ground up, you get the opportunity to do it right.\n\nIt takes 6 to 10 seconds to pull out your phone, unlock it, find and launch an app. The Action Button helps. But having a wearable that will give you an answer in _half a second_ is an order of magnitude more useful.\n\n# **Privacy and intentionality**\n\nButton is also a computer that follows your lead. It doesn’t try to predict your behavior. We don’t track you. It doesn’t notify you or distract you. It’s a tool that you control. You press the button to talk to AI… Our job is to empower you, and then get out of your way.\n\nWe care a lot about your privacy. Button doesn’t listen to your private conversations. It can only hear you when you press it.\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/f1103ec0-5a3c-4553-b3f1-b1a2eccc6bd7)\n\n# **Our friendship**\n\nWe worked together on Vision Pro at Apple. After Ryan moved to Colorado, we stayed close. Chris visited Ryan and his family for Christmas, and Ryan was the best man at Chris’ wedding.\n\nWe’ve both had previous startups and we’re excited to do this one together!\n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/9116d254-c670-48ad-8548-d66868cac9c9)\n\n# **Our ask**\n\nIf you know of anyone who believes in the future of voice AI, we’d love to meet them! If you’re an angel, please feel free to book a time directly at: .\n\nThank you for your support in building the future of conversational computing!\n\nWebsite: \n\n![uploaded image](/media/?type=post&id=98398&key=user_uploads/1273646/daf19bcb-b90f-41fd-8529-7c6eafce0199)\n\n", "url": "https://www.ycombinator.com/launches/Pb4-button-is-the-fastest-way-to-chat-with-ai", "votes": 13, "created_at": "2026-03-03T14:56:27.083Z" } ] }, { "id": 30860, "name": "Alt-X", "slug": "alt-x", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/949208e95883f37f6c02c5daa9417bb2876ac66f.png", "website": "https://alt-x.co", "all_locations": "Los Angeles, CA, USA", "long_description": "Alt-X is building the AI-native liquidity layer for private markets.\r\n\r\nPrivate markets have created trillions of dollars in value, yet remain fragmented, illiquid, and inaccessible. While public markets benefit from exchanges, market makers, brokerages, and data infrastructure, private markets still rely on brokers, spreadsheets, and manual workflows to connect buyers and sellers.\r\n\r\nAlt-X uses AI to automate the core functions required to make private assets liquid. We streamline diligence, valuation, investor matching, and transaction execution, reducing the friction that makes private-market transactions slow, expensive, and opaque today.\r\n\r\nOur initial focus is venture-backed secondaries. We source opportunities from founders, employees, and early investors while building a network of accredited investors seeking exposure to the world's most valuable private companies. Over time, we believe every private asset—from startup equity to private credit and alternative investments—will require modern liquidity infrastructure.\r\n\r\nBuilding trusted infrastructure for private markets is difficult. Transactions involve complex diligence, fragmented information, transfer restrictions, and significant compliance requirements. Alt-X is focused on creating systems that can support real transactions at scale, not just marketplace listings.\r\n\r\nRyan Samadi (Stanford CS/AI, former Citadel commodities trader) and Michael Wachsman (Cornell CS, infrastructure engineer) are building Alt-X because they believe ownership of innovation should be more liquid, transparent, and accessible. Today, Alt-X has sourced over $1.5 million in transaction opportunities and assembled a network of 40 accredited investors representing hundreds of millions of dollars in investable assets.\r\n\r\nOur mission is to democratize ownership of innovation by building the financial infrastructure that private markets have never had.", "one_liner": "Building the best venue for private markets exposure.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1761174591, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alt-x", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/alt-x.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alt-x-financial", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/949208e95883f37f6c02c5daa9417bb2876ac66f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 414472, "full_name": "Ryan Samadi", "title": "Founder/CEO", "founder_bio": "Ryan Samadi is the Co-Founder and CEO of Alt-X, building AI infrastructure for financial services. Before Alt-X, he worked at Citadel’s commodities fund. Ryan also studied Computer Science at Stanford, focusing on AI, where he also led a hedge-fund investing program. He founded Alt-X after seeing how even the most sophisticated investors still rely on Excel and manual analysis—and is now building the platform that will replace it.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-samadi/", "x_url": "https://x.com/SamadiRyan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/871ea125b605eb88c2806f39b0b627cc6c8fc0ed.jpg" }, { "user_id": 2277575, "full_name": "Michael Wachsman", "title": "Founder/CTO", "founder_bio": "I am Co-Founder and CTO at Alt-X, where I lead engineering and architecture to build AI infrastructure for private-market investing. I joined because I saw how much manual analysis and fragmented deal data slow down investment teams, and now I’m focused on rethinking how this industry works from the ground up.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-wachsman-a0912a1ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b47570bfe621ada65f1d27cb57e90e83f9d383cf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98902, "title": "Alt-X: AI Agents for Real Estate Underwriting & Financial Modeling", "tagline": "Alt-X is the AI agent that turns a 200-page offering memorandum into a fully built, fully auditable institutional underwriting model in Excel — in seconds.", "body": "Hey\n\nWe're [Ryan](https://www.linkedin.com/in/ryan-samadi/) and [Michael](https://www.linkedin.com/in/michael-wachsman-a0912a1ab/), and we're building Alt-X.\n\n**TL;DR**\n\n**Download our Excel plugin from [alt-x.co](http://alt-x.co) or contact us at [ryan@alt-x.co](mailto:ryan@alt-x.co)**\n\n Alt-X is the first AI Excel agent built specifically for real estate underwriting. Drop in an offering memorandum and get a fully built, fully auditable financial model in seconds, directly in Excel.\n\nWe've lived the pain of financial modeling firsthand through years of late night modeling sessions, and built Alt-X to change it.\n\n**Ask:** Our product is live and we’re looking for real estate investors, underwriters, and acquisitions analysts to try it on real deals. \n\n**Download our Excel plugin from [alt-x.co](http://alt-x.co) or contact us at [ryan@alt-x.co](mailto:ryan@alt-x.co)**\n\n\n\n**Why we built it**\n\nRyan spent years in the hedge fund world and institutional finance watching the same thing happen on every deal: a 200-page offering memorandum lands, IC is in 48 hours, and someone is manually pulling numbers cell by cell into Excel building capital stacks, sizing debt, modeling cash flows, building waterfalls from scratch.\n\nThe biggest firms built proprietary infrastructure to solve this. Everyone else is still doing it by hand.\n\n**What Alt-X does**\n\n\n\nAlt-X lives in Excel. Drop in your OM and it automatically builds your full underwriting model: sources and uses, senior debt sized to LTV and DSCR constraints, ten-year operating cash flows, exit cap sensitivity, full GP/LP waterfall with promote tiers.\n\nEvery number is cited back to the exact page and line of the source document. Every change needs your approval before it's applied. Not blind AI. Not manual modeling. Build fast and verify everything.\n\n**Team**\n\nRyan studied CS at Stanford, worked at Citadel and previously was founding engineer of a $XXMM+ commodities startup. Michael published novel ML research at Cornell and built state-of-the-art AI security systems. Together, they've lived the pain of financial modeling and have the technical depth to fix it.\n\n![uploaded image](/media/?type=post&id=98902&key=user_uploads/414472/32a9e60f-be41-46a1-a322-d04923ac4733)\n\n**Ask**\n\nWe'd love warm intros to real estate investment firms, acquisitions teams, and asset managers. If you work in real estate finance or know someone who does, please reach out.\n\nDownload the plugin and try it on your next deal at [alt-x.co](http://alt-x.co) or email us at [ryan@alt-x.co](mailto:ryan@alt-x.co)", "url": "https://www.ycombinator.com/launches/PjC-alt-x-ai-agents-for-real-estate-underwriting-financial-modeling", "votes": 63, "created_at": "2026-03-18T16:35:29.764Z" } ] }, { "id": 30876, "name": "Velum Labs", "slug": "velum-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4835d7d3adbc5c3756ca811175142dfc73c7ddbe.png", "website": "https://www.velum-labs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Velum is the operating system for data quality. Velum automatically monitors and enforces data quality across a company's data stack, so bad data never reaches dashboards. We turn data quality from a manual task into infrastructure that runs itself.\r\n\r\nData trust you can prove. From the pipeline to the boardroom.", "one_liner": "The OS for data quality across any stack", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762847882, "tags": [ "Machine Learning", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/velum-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/velum-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/velum-labs-ai", "x_url": "https://x.com/velum_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4835d7d3adbc5c3756ca811175142dfc73c7ddbe.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1177505, "full_name": "Benjamin Muñoz-Cerro", "title": "Founder/CEO", "founder_bio": "CEO @Velum Labs | stanford quantum computing | harvard physics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamzc/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/840111d90db1dffc5c3e02d8728a42622fc82b0c.jpg" }, { "user_id": 2364271, "full_name": "Alen Rubilar-Muñoz", "title": "Founder/CTO", "founder_bio": "CTO @ Velum Labs | ml swe | aspiring mathematician | hackathon winner | world citizen", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/000alen/", "x_url": "https://x.com/000alen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9019d7f13c58bfa58a7c0e71f53084bca1d3b444.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30905, "name": "Travo", "slug": "travo", "former_names": [ "TravoAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecc588fa69715d41e766cd5d4ea9ad32f10adff.png", "website": "https://www.travoai.com/", "all_locations": "San Francisco, CA, USA", "long_description": ".", "one_liner": ".", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1766027196, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/travo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/travo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/travoai1", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aecc588fa69715d41e766cd5d4ea9ad32f10adff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2255673, "full_name": "Clarence Chen", "title": "Founder/CEO", "founder_bio": "Travo", "is_active": true, "linkedin_url": "https://linkedin.com/in/clarence-chen123", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31490791994a73f89aefcb7f2de6a566641d832a.jpg" }, { "user_id": 2576121, "full_name": "Alexander Calafiura", "title": "Founder/COO", "founder_bio": "Travo", "is_active": true, "linkedin_url": "https://linkedin.com/in/alexandercalafiura", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c4ba57ec513d8c5f25e9f85bce4e32a282906d3.jpg" }, { "user_id": 2579244, "full_name": "Michael Dalva", "title": "Founder/CPO", "founder_bio": "Co-founder/CPO at Travo. Before Travo, I studied CS/AI at Stanford, researched hardware-fault resilience in ML pipelines, and wrote code for satellites!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaeldalva/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15ff932eb85dce5340331131c0dc5f0d2b68a318.jpg" }, { "user_id": 2775510, "full_name": "Ashwin Sriram", "title": "Founder/CTO", "founder_bio": "Co-founder at Travo. Before Travo, I studied CS at Stanford, led backend development at a edtech startup with millions of users, worked at Roblox, and spent an unreasonable amount of time learning about Linux operating system security.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashwin-sriram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88fbc2001b9192d23a8fcb6a243d0912c27efa8d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98806, "title": "Travo — The data infrastructure for real estate", "tagline": "Providing ownership and operating data for commercial real estate", "body": "**TL;DR:**\n\nTravo is building a real estate data platform that uses AI to aggregate ownership, pricing, zoning, and operating data through web crawls, emails, and phone calls.\n\n**Background:**\n\nWe are four Stanford CS dropouts who spent months trying to build agents for alluring but low hanging real estate private equity workflows. We realized that building an agent that performs 100x better than a high IQ analyst is impossible without dramatically better underlying data.\n\n**Problem:**\n\nReal estate data is still collected through call centers, broken government websites, and manual skip tracing. This structure means zero coverage for niche asset classes and results in inaccurate coverage of institutionalised asset classes. Investors spend days fact-checking data they already pay for, only to still fill in gaps themselves.\n\n![uploaded image](/media/?type=post&id=98806&key=user_uploads/2255673/ebedd9f1-6dd7-4e76-aeb0-9651f15423c3)\n\n**Solution:**\n\nBy using AI to aggregate data accurately and modularly across asset types at scale, we unlock deeper coverage and access to untapped markets and proprietary data sources.  One boutique PE firm found an off-market RV park now under purchase for 3M+. Another $200B+ fund cut market analysis and underwriting from weeks to days, while increasing revenue across its portfolio.\n\n**Our ask:**\n\nKnow any **Real Estate Private Equity firms?** We’d appreciate an intro!\n\nFeel free to reach us at [**team@travoai.com**](mailto:team@travoai.com)\n\nThank you!\n\n[**travoai.com**](http://travoai.com)", "url": "https://www.ycombinator.com/launches/Phe-travo-the-data-infrastructure-for-real-estate", "votes": 11, "created_at": "2026-03-14T23:11:56.970Z" } ] }, { "id": 30906, "name": "Agentic Fabriq", "slug": "agentic-fabriq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a5cc9740ffbab442e3f13d623875ee650093eac.png", "website": "https://www.agenticfabriq.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agentic Fabriq helps companies securely manage what AI agents can access and do across business tools, data, and teams. We give each agent an identity, scoped permissions, approval flows, and audit logs, so employees and customer-facing workflows can use agents without relying on shared API keys, overbroad service accounts, or one-off integrations.", "one_liner": "The control plane for AI agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1762294029, "tags": [ "B2B", "Identity", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agentic-fabriq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/agentic-fabriq.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agentic-fabriq/", "x_url": "https://x.com/agenticfabriq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/agentic-fabriq", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a5cc9740ffbab442e3f13d623875ee650093eac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2840984, "full_name": "Paulina Xu", "title": "Founder/CEO", "founder_bio": "AI + Physics @ MIT, working on Agentic Fabriq (security middleware for all agentic communication)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paulina-xu-5bba0821b?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "https://x.com/paulinazhxu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c121ed2a60fa303b7cd17e1f0dc5f1159b30b9e4.jpg" }, { "user_id": 2459873, "full_name": "Matthew Xu", "title": "Founder", "founder_bio": "Dropped out of MIT at 19. Building Agentic Fabriq, the security layer between agentic applications and tools.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-xu-b32a36271", "x_url": "https://x.com/matthew_xu23", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/063a24958bb9b6eaa3b201fd0c124e25cc472de6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98377, "title": "Agentic Fabriq: Okta for Agents", "tagline": "The central hub for agent identity, governance, and visibility. ", "body": "Hey everyone! This is Paulina & Matthew from Agentic Fabriq. \n\n**TL;DR:** AI agents are entering production — but identity systems weren’t built for them. Agentic Fabriq is the identity and governance layer built specifically for AI agents.\n\nOur launch video:   \n\n![uploaded image](/media/?type=post&id=98377&key=user_uploads/2840984/7ee786fe-0377-4c6d-9e0e-e8032c2998a7)\n\n\n**The Problem**\n\nAgents are moving fast. Security isn’t.\n\nTeams are shipping AI agents that call tools, trigger workflows, access internal data, and act on behalf of users. But the identity layer underneath them was designed for humans logging into apps — not autonomous software acting across systems.\n\nToday, teams hardcode tokens into workflows, drop user identity once an agent runs, and re-implement OAuth for every integration. Security teams lose visibility into what agents are accessing and doing, and no one can confidently answer a simple question: **who did this agent act for?**\n\nOAuth, IAM, and IdPs were built for humans and apps. They were never designed for agents calling tools, calling other agents, and operating autonomously across environments. Engineers get stuck rebuilding auth, IT struggles to govern permissions, and security teams are left without clear audit trails.\n\n**What We Built**\n\nAgentic Fabriq is the identity, governance, and visibility layer for AI agents.\n\nWe sit in the middle of every agent’s calls and manage both agent identity and user identity. We handle token exchange and authentication, enforce least-privilege access, and enable fine-grained, per-user permissioning for every agent. Every action is logged centrally for audit and compliance.\n\nInstead of wiring OAuth, scopes, and policies for every agent and every workflow, you call us once.\n\nYou connect your tools, register your agent, define the permissions — and we handle identity propagation, authorization, and logging.\n\nHere’s a demo of our permissioning feature with OpenWebUI: \n\n**What This Enables**\n\n* Per-user agent access\n* Agent + user pair permissioning\n* Full visibility across tools and workflows\n* Instant revocation and policy control\n* Compliance-ready audit trails\n\nWe make it easy for companies to make their agents secure.\n\n**Why Now**\n\nEvery major computing shift forced identity to evolve. \n\nSaaS required SSO. \n\nCloud required IAM. \n\nAPIs required OAuth. \n\n\\\nAgents are the next shift – and they need their own security platform. \n\nWe’re building it.\n\n**Our Ask**\n\nIf you’re building internal agents, shipping AI into enterprise, or thinking about agent governance and security, we’d love to talk.\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting: \n* website: \n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.", "url": "https://www.ycombinator.com/launches/Paj-agentic-fabriq-okta-for-agents", "votes": 9, "created_at": "2026-03-03T01:46:49.295Z" }, { "id": 95246, "title": "Agentic Fabriq: Okta for Agents", "tagline": "Power your AI with governed data", "body": "Hey everyone! This is [Paulina](https://www.linkedin.com/in/paulina-xu-5bba0821b/) & [Matthew](https://www.linkedin.com/in/matthew-xu-b32a36271/) from Agentic Fabriq.\n\n**TL;DR:** Agentic Fabriq is Okta for agents. Fabriq ensures that employees can’t access data or do actions with agents that they themselves would not have permissions to do.\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/d57b9148-8a8a-44a0-8c53-1292f611641b)\n\nOur launch video:[ https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK](https://youtu.be/V4dTw58ZeTQ?si=ykoz3x06_fTgEXeK)\n\nThe field of agentic AI is brand new, and everyone is rushing to build and ship their own agents. But there’s a critical gap appearing: **how do you guarantee an agent can’t do more than the employee using it?**\n\n**THE PROBLEM**\n\nAI is rewriting how work gets done, but most companies still can’t let every employee harness it with **their own, permissioned data**. The market is full of tools and agents, but **the core organizational layer is missing**. There’s no unified place to enforce per-user + least-privilege access, separate tenants, or audit what an agent did, with which user, and why, across all of your internal agents and tools.\n\nToday, there’s only scattered solutions to this with identity and permission systems that were built for humans, not for agents acting as humans. Agentic Fabriq solves this issue **for the first time** by giving IT and admins a way to ensure their agents are always constrained to the **exact permissions of the employee asking** - no more, no less.\n\n**OUR SOLUTION**\n\nAgentic Fabriq is the secure fabric that simplifies data permissioning for all your agents, tools, and employees. We handle the auth & integration so IT & admin can manage employee permissions, agent permissions per employee, and tool connections. We’ve solved the security and identity hurdles so you can connect to a tool in minutes and personalize **what your agents can do and access per user**.\n\nOn Fabriq,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/07608446-8a9e-4906-88ff-57c9bd5cb1d4)\n\nregister a tool connection,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/8e2c2fb2-38b9-4253-b87a-5894da56de89)\n\nregister your own AI/agents,\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/f703ec51-0cd0-47e3-99ca-8d330c6fe157)\n\nand manage your entire organization\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/6b9fad2b-5606-4ed6-8e3f-af21f966357b)\n\n![uploaded image](/media/?type=post&id=95246&key=user_uploads/2840984/4bbadb2e-6cb7-4858-9343-0b63b8938458)\n\n**we made it as simple as that.**\n\nAgentic Fabriq provides users with:\n\n* **per-user connections**: connect your own account to approved tools - no shared creds\n* **org-wide controls**: define what internal agents/apps can access & which employees can use them\n* **least-privilege by default**: access is scoped & revocable, with centralized policy\n* **full visibility**: every action is logged for audit & compliance\n* **prebuilt connectors**: add tools fast without rebuilding auth & permissions each time\n\nThis allows teams to make the most use of AI with exactly the data they’re allowed to use - **safely, auditable & at scale.**\n\n**OUR ASK**\n\nIf you or anyone you know would like to be early adopters of Fabriq, book a call with us or send us an email!\n\n**CONTACT**\n\n* email us: [founders@agenticfabriq.com](mailto:founders@agenticfabriq.com)\n* book a meeting:[ https://calendly.com/paulinaxu/agentic-fabriq-meeting](https://calendly.com/paulinaxu/agentic-fabriq-meeting)\n* website:[ https://www.agenticfabriq.com](https://www.agenticfabriq.com)\n\n**TEAM**\n\nPaulina and Matthew met @ MIT admit weekend and have been friends since. They dropped out before their second year to work on Agentic Fabriq\n\nPaulina was studying AI + Physics and doing CS/ML research at MIT Kavli Institute, MIT Haystack Observatory, and INAF Padua.\n\nMatthew was studying AI + Math and doing CS/Econ research at MIT Futuretech Lab and Computational Biology research at MIT CSAIL.", "url": "https://www.ycombinator.com/launches/OmE-agentic-fabriq-okta-for-agents", "votes": 18, "created_at": "2025-11-06T20:55:28.851Z" } ] }, { "id": 30913, "name": "Captain", "slug": "captain", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c5e5da360891b80b4a1d6d511de963d613bbf08.png", "website": "https://captain.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Captain makes product catalogs and complex, multimodal files searchable for customers and AI agents. It syncs files from sources like S3, SharePoint, and Google Drive and tunes search to your data and workloads.\r\n\r\nInstead of stitching together parsers, embeddings, vector databases, rerankers, and retrieval infrastructure, developers use Captain to power product search and file retrieval through managed APIs.\r\n\r\nOn evaluated file-search benchmarks, Captain’s tuning improved retrieval accuracy from roughly 78% with standard RAG to over 97%.\r\n\r\nBuilt for complex catalogs and demanding file-search workloads, including regulated and high-stakes applications.", "one_liner": "Self-tuning search for products and files", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1762492786, "tags": [ "B2B", "API", "Data Engineering", "Search", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/captain", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/captain.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runcaptain/", "x_url": "https://x.com/captaindotdev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/captain-technologies", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0c5e5da360891b80b4a1d6d511de963d613bbf08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8c35ef0b175d1d2ac7f51910ee2cfa78036029ea.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 2044865, "full_name": "Lewis Lien Polansky", "title": "Founder/CEO", "founder_bio": "CEO @ Captain, building self-tuning search for products & files. Engineer, designer, founder of a cybersecurity CTF org, recipient of U.S. Congressional recognition for community software, and randomly co-invented the soy-based milk carton.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lewispolansky/", "x_url": "https://x.com/lienpolansky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ecd86ae152b80dc12d55579cb0913bf93c33451f.jpg" }, { "user_id": 2578789, "full_name": "Edgar Babajanyan", "title": "Founder/CTO", "founder_bio": "CTO @ Captain | Published AI NLP Researcher | Built OCR engines @ Boar's Head | Scaled high-performance RAG pipelines for the past 4 years | Built a Cross Region L2 Datacenter", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgar-babajanyan-a28230217/", "x_url": "https://x.com/BabajanyanEdgar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4db53926ab205e15c802b0761d911b65a0e7321.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95291, "title": "Captain - The Reliable Alternative to RAG", "tagline": "Search files with much higher accuracy than RAG (Avg improves 78% → 95%)", "body": "**TL; DR**: Captain delivers **the most accurate** general-purpose **knowledge search** engine **ever built.** \n\nIf you need to search through large text or multimodal files, and:\n\n* Don’t have time for **a tedious RAG sprint** -or-\n* Your current search pipeline lacks accuracy\n\nWe should talk. → [runcaptain.com/sales](https://runcaptain.com/sales?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=weshouldtalk1) or [founders@runcaptain.com](mailto:founders@runcaptain.com)\n\nhttps://www.youtube.com/shorts/RxMPHqou94o\n\nIn a world where **90% of enterprise knowledge** cannot be stored in traditional databases, this ‘unstructured data’ is an **untapped goldmine** for decision-making. \n\nThe issue is that current RAG solutions have poor retrieval quality overall and are only performant on pre-optimized question types. \n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/425e4da0-2c47-43ea-a2c5-5dc32b2168fd)\n\n**Captain** unlocks **better responses** thanks to an effectively **Infinite Context window**. We distribute it across many LLMs in parallel + some embeddings sprinkled in, and then ‘Map-Reducing’ responses down to a single output.\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/4be36851-322b-4836-be35-8e447cea51cd)\n\nWithout context limits, we have great freedom to optimize our retrieval engine for maximal accuracy. We can now play with a truly dynamic top-k or just run the LLM exhaustively (if a full knowledge audit is needed).\n\n![uploaded image](/media/?type=post&id=95291&key=user_uploads/2044865/e373def8-4aec-4add-b2a6-7d5fd9a02cb3)\n\n**We’re two lifelong builders** obsessed with data! \n\n* Lewis (right) solved hallucinations for code generation through his previous startup. \n* Edgar (left) researched NLP+AI and has built production RAG pipelines for the past 3 years.\n\nWe’ve seen the pains and limits of these systems from the start, and **the industry is primed for a more accurate alternative.** \n\nThis past summer, we met with every engineer we could at **Snowflake** and **Databricks**, and we kept hearing the same thing again and again: \n\n> There’s **no good** scalable **unstructured** data **search**.\n\nUntil **today**.\n\n**Captain abstracts the engineering of retrieval entirely.** Connecting files is all that’s needed, and we’ll beat your RAG's accuracy. Guaranteed. \n\n**Our Ask**\n\nIf you know a **CTO** or **Head of AI** at a mid-market or enterprise **AI-native** (or are building one yourself), we would love an introduction!\n\nCheck us out at [RunCaptain.com](https://runcaptain.com?utm_source=ycombinator&utm_medium=launchyc&utm_campaign=launchyc&utm_content=website)\\\nor reach us directly through [founders@runcaptain.com](mailto:founders@runcaptain.com)\\\n\\\nHappy Shipping! 🚢", "url": "https://www.ycombinator.com/launches/Omx-captain-the-reliable-alternative-to-rag", "votes": 115, "created_at": "2025-11-07T19:59:17.455Z" } ] }, { "id": 30927, "name": "Oxus", "slug": "oxus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ece043321e153a7271fa8a0ce88ad2f409b18fe3.png", "website": "https://oxus-ai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Oxus automates internal audits for pre-IPO and public companies using AI. Companies including leading payroll providers, public biotechs, and social media enterprises work with us to streamline audit workflows and get audits done 10x faster. \r\n\r\nLearn more at: https://www.oxus-ai.com/", "one_liner": "AI-powered automation for internal audit workflows", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1765688555, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/oxus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/oxus.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oxus-ai-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ece043321e153a7271fa8a0ce88ad2f409b18fe3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1547632, "full_name": "Janet Liu", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Oxus. MIT B.S. in Computer Science, Economics, Data Science and in Finance. Prev: digital payments research at the Federal Reserve; investment strategy at D.E. Shaw.", "is_active": true, "linkedin_url": "https://linkedin.com/in/janet-liu-4856b91b4", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6e857ac6fdf2dce2bb68400e830b02819811151.jpg" }, { "user_id": 1542232, "full_name": "Melinda Liu", "title": "Founder/COO", "founder_bio": "Co-founder and COO of Oxus. MIT B.S. in Computer Science, Economics, Data Science and in Finance. Prev: built AI products for fintech; finance at JPMorgan.", "is_active": true, "linkedin_url": "https://linkedin.com/in/melinda-liu-4a87a3198", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cbb3fa2a2a728f10dea6fd70c30acf5ce925e2d3.jpg" }, { "user_id": 1417964, "full_name": "Christine Watts", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Oxus. MIT B.S. in Artificial Intelligence. Prev: built ML systems for early- and growth-stage startups; consulting at BCG and NERA.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christinewatts2018/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef8f3e33c5d9396be20ef48ddfa7b1f295a6a3a2.jpg" } ], "jobs": [ { "id": 108254, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/oxus/jobs/edLPXRJ-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "LLMs", "RAG", "AI Agents", "Multimodal AI" ] } ], "news": [], "launches": [ { "id": 96466, "title": "Oxus: AI-native automation for SOX audits", "tagline": "Modern intelligence for better audits", "body": "Hi all, \n\nWe’re [Janet](https://www.linkedin.com/in/liujanet8/), [Christine](https://www.linkedin.com/in/christinewatts2018/), and [Melinda](https://www.linkedin.com/in/melinda-314-liu/) - a team from MIT building [Oxus](https://www.oxus-ai.com/).\n\n**TL;DR:** With [Oxus](https://www.oxus-ai.com/), internal audit teams save millions in outsourcing fees and get audits done 10x faster. Reach out if you are/know of any internal auditors! \n\nhttps://youtu.be/gmgO_Pa-vZk\n\n**❌ The problem**\n\nPublic companies are required to prove their financial reporting and underlying processes - from payments to system access - work as expected. Today, that work is **highly manual and costly**:\n\n* **Weeks spent scoping what to audit**, assessing risk across financial statements, sub-accounts, and business units\n* Meeting with stakeholders, then spending **5-15 hours to turn notes into a flowchart** visualizing each process\n* Digging through **spreadsheets, PDFs, screenshots, and emails** to find relevant evidence\n* **Thousands of hours/year repeating the same checks**: sifting through 200-page documents for signatures, matching orders to invoices, reviewing system access for hundreds of employees, etc\n\nAnd it costs **$200–$800/hour** to outsource this work to outside accounting/consulting firms, adding up to **$300K–$1M+ per year** in annual spend.\n\n🐂 **The solution**\n\nWhat Oxus enables:\n\n* **Accelerate audit scoping**, automatically surfacing higher-risk areas using both financial metrics and qualitative factors\n* **Within minutes**, **generate and update process flowcharts** immediately after meetings\n* **Simplify evidence review**, so teams can locate and interpret information across disparate files and systems\n* **Eliminate repetitive manual checks**, handling large volumes of comparisons and reviews at once and producing reviewer-ready documentation with labeled, traceable evidence\n\nWith Oxus, teams save **millions** in outsourcing fees and get audits done **10x faster.** \n\n**The ask**\n\nWe’re onboarding early customers and would love intros to any of the following at pre-IPO/public companies:\n\n* Chief Audit Executives / Chief Financial Officers\n* Heads of Internal Audit / SOX / Internal Controls / Platform Controls / Risk Assurance\n* Internal auditors\n* Controllers\n\nFeel free to reach out directly to us at [founders@oxus-ai.com](mailto:founders@oxus-ai.com) or book a call [here](https://calendly.com/liujanet/janet-christine-melinda?month=2025-12) to learn more!\n\n![uploaded image](/media/?type=post&id=96466&key=user_uploads/1547632/bf2d4900-8d4f-46f8-ba71-399ab2f5ac18)\n\n", "url": "https://www.ycombinator.com/launches/P5u-oxus-ai-native-automation-for-sox-audits", "votes": 2437, "created_at": "2026-01-05T18:41:30.019Z" } ] }, { "id": 30973, "name": "General Astronautics", "slug": "generalastro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d7cf823c4893a350166b41685cc7e72de36fe4d.png", "website": "https://generalastro.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Autonomous robotics for space operations.", "one_liner": "Superintelligent space Robots", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1772084363, "tags": [ "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/generalastro", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/generalastro.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/generalastronautics", "x_url": "https://x.com/GenAstronautics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3d7cf823c4893a350166b41685cc7e72de36fe4d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774387177-08b81efd6ad44d12fc7e1a071e13a0f4/ad2c074ed39b01f6ca5a7b0c0c44e296.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022732Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=a3fd179e219c3fa33aede068bfee02082e2efea0e8e83dbb153279e8476d706e", "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2369572, "full_name": "Bram Schork", "title": "Founder/CEO", "founder_bio": "Bram is a Caltech aerospace engineer who founded General Astronautics after building hardware reliability systems for SpaceX's Starlink Lasers, shipping industrial autonomous robots, and developing optical tracking systems at SBIR-funded startups. Microgravity unlocks better pharmaceuticals, semiconductors, and advanced materials. The bottleneck is labor, not science, and robots can solve that now.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bramschork/", "x_url": "https://x.com/bramschork", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6381c9462184e188325dc00ce43202254ebf1126.jpg" } ], "jobs": [ { "id": 116339, "title": "Robotics Controls Engineer", "url": "https://www.ycombinator.com/companies/generalastro/jobs/N0Ya6hT-robotics-controls-engineer", "location": "El Segundo, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116340, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/generalastro/jobs/kfNPWsr-mechanical-engineer", "location": "El Segundo, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 116735, "title": "Head of Government Business Development", "url": "https://www.ycombinator.com/companies/generalastro/jobs/Jx28HSk-head-of-government-business-development", "location": "El Segundo, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116736, "title": "Mechanical Engineering Internship/Co-op (Spring 2027)", "url": "https://www.ycombinator.com/companies/generalastro/jobs/OGY3J3A-mechanical-engineering-internship-co-op-spring-2027", "location": "El Segundo, CA", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116737, "title": "Mechanical Engineering Internship/Co-op (Summer 2027)", "url": "https://www.ycombinator.com/companies/generalastro/jobs/HxQR8kq-mechanical-engineering-internship-co-op-summer-2027", "location": "El Segundo, CA", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98216, "title": "General Astronautics — Robots for Space", "tagline": "Robots for microgravity research and manufacturing.", "body": "# Launch YC: General Astronautics — Robots for Space\n\n**TL;DR:** General Astronautics builds autonomous robots for research and manufacturing in space. Microgravity unlocks better pharmaceuticals, purer semiconductors, and flawless optical fibers. The bottleneck was never the science, it was the labor to do it.\n\n\n\n**Advantage of Microgravity**\n\nMicrogravity changes what's physically possible. Proteins crystallize with fewer defects, critical for drug development. Semiconductors and optical fibers form without the flaws that gravity creates. Pharma and tech companies are already investing in orbital research.\n\n**The Problem**\n\nBut astronaut time is expensive, and there's not nearly enough of it. On ISS, NASA estimates crew time at $130K per hour. On commercial stations, it's more than three times that. Crews have to sleep, rotate home, and pick and choose which experiments to run. Most of the work that could happen in space simply doesn't.\n\n**The Solution**\n\nWe're building robotic systems that handle laboratory work: pipetting, sample prep, plate handling, reagent mixing, with the precision and autonomy to operate without crew. The goal is simple: make microgravity research and manufacturing scalable, not bottlenecked by how many people you can put in orbit.\n\nOur team comes from SpaceX, Caltech, and Carnegie Mellon. We've spent our careers on robotics, spacecraft systems, and the intersection of both. We started General Astronautics because the limiting factor in space was never the science, it is the capacity to do it at scale.\n\n**The Ask**\n\nIf you have connections to pharma or biotech companies interested in space-based research, whether protein crystallization, biologics, cell culture, or silicon manufacturing, we'd love an intro.\n\nConnect with us: [founders@generalastro.com](mailto:bram@generalastro.com)\n\nX: \n\nLinkedIn: ", "url": "https://www.ycombinator.com/launches/PY8-general-astronautics-robots-for-space", "votes": 15, "created_at": "2026-02-26T19:57:51.987Z" } ] }, { "id": 31000, "name": "Vector Legal", "slug": "vector-legal", "former_names": [ "Cadence", "Raise" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24fe2cfdacb0c9b085052b0bee9ce77035a7373e.png", "website": "https://vectorlegal.com", "all_locations": "San Francisco, CA, USA", "long_description": "A modern solution for Startup legal.\r\n\r\nVector combines premier lawyers/paralegals (averaging 13+ years of experience) + custom-built AI, so our clients get world class startup legal service at a fraction of Big Law rates. See our client testimonials - https://www.vectorlegal.com/testimonials.\r\n\r\nServices: fundraise & priced rounds | customer contracts and commercial contracts | international flips | complex formations | grow your team | agentic data rooms | e-signatures | cap table management | legal health checks | mergers & acquisitions | co-founder separations | dissolutions.", "one_liner": "A premier AI-native law firm & legal operating system for Startups.", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1771526564, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vector-legal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/vector-legal.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vector-legal-in/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24fe2cfdacb0c9b085052b0bee9ce77035a7373e.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774393783-55a7b197620911a0756cd0e0bea5df77/1c2006756fe2960fad6af4d6c6a00e9c.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022732Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=b6daa5bb9fca5339a407a32a4bf9e665d5ee6666bee2bbfb9f3c25d836f32c0d", "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1077405, "full_name": "Mitch Duncombe", "title": "Founder/CEO", "founder_bio": "9 year practicing corporate lawyer and now entrepreneur\n\nformerly: Berkeley Law / Fenwick / YC Legal. Now: Vector Legal (W26). \n\nVector Legal is:\n\n-Big law quality counsel (~13 yrs avg. experience)\n-Enterprise quality legal SAAS\n\nat ~40% the cost", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchellduncombe/", "x_url": "https://x.com/mitchduncombe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b7f478387667cedcff1d81b16c134f1a6841116.jpg" }, { "user_id": 2296577, "full_name": "Keenan Venuti", "title": "Founder/CTO", "founder_bio": "Founder/CTO @ Vector Legal, a hybrid AI law firm + legal tech platform for Startups\nFormer Staff AI SWE @ Ironclad (S15)\nM.S. Northwestern, B.A. Harvard\n\nkeenan.venuti.org", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/keenan-venuti-in/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0b3e4bc63a3beed589b0552c6d52c37dcf90ef3.jpg" } ], "jobs": [ { "id": 95799, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/SoiB0TW-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $180K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "AI Agents" ] }, { "id": 95800, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/bDlpoLM-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "AI Agents" ] }, { "id": 95803, "title": "Senior Corporate Counsel", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/qACKx6Q-senior-corporate-counsel", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$190K - $500K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100902, "title": "Senior Commercial Counsel", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/313muoh-senior-commercial-counsel", "location": "San Francisco, CA, US / CO, US", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$150K - $230K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 100903, "title": "Junior Commercial Counsel", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/h2CYE5P-junior-commercial-counsel", "location": "San Francisco, CA, US / CO, US", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 101192, "title": "ECVC Associate", "url": "https://www.ycombinator.com/companies/vector-legal/jobs/8SrWHg5-ecvc-associate", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 98140, "title": "Launch: Vector Legal™ - AI-native law firm + software for Startups", "tagline": "Experienced counsel + AI agents, integrated seamlessly into your workflows so your Startup can close deals quickly and affordably. ", "body": "#### Startups know the stakes - it’s move fast or die. Your lawyers should operate at the same pace, without costing an arm and a leg.\n\nVector Legal combines experienced startup legal professionals + proprietary AI to help you close your deals, quickly, at startup-friendly prices. They serve clients from Seed through Series B, handling financings, IP protection, customer contracts, hiring, founder transitions, and more. \n\nIn addition: their VectorOS platform helps founders:\n\n* manage equity and dilution,\n* draft documents,\n* review contracts with AI,\n* maintain investor-ready data rooms, and\n* ask questions across their legal docs.\n\nThe team brings deep experience in the space, having previously worked at Fenwick, YC Legal, and Ironclad.\n\nIf you’re a U.S. startup looking for a modern law firm, learn more and book a demo at[ **https://vectorlegal.com**](https://vectorlegal.com)\n\nCongrats on the launch, Keenan and Mitch 🚀", "url": "https://www.ycombinator.com/launches/PWu-launch-vector-legal-ai-native-law-firm-software-for-startups", "votes": 5, "created_at": "2026-02-25T19:17:45.113Z" } ] }, { "id": 31003, "name": "Voltair", "slug": "voltair", "former_names": [ "Voltair Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a981c3ee0de6ecf9a915e188b211780fce335e44.png", "website": "https://voltairlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Voltair is building the world's first globally distributed network of autonomous drones for Earth observation.\r\n\r\nPower utilities are the perfect first customer. Aging infrastructure and extreme weather drive the need for millimeter-scale inspection data on the power grid. Utilities spend tens of billions of dollars every year just looking at their own equipment. Autonomous drone fleets will enable utilities to inspect 7 million miles of infrastructure more frequently, quickly, and accurately. Our long-range, weatherized flying robots work with charging pads installed directly on utility poles. Each new pad unlocks 1000 square miles of coverage.\r\n\r\nWith a charging network deployed on the power grid, we can serve existing multi-billion dollar data markets in road, rail and telecom inspection at 10x lower prices while enabling entirely new applications in hyperlocal weather monitoring, forestry, construction, search & rescue, and insurance.\r\n\r\nWe envision a future in which drone \"instances\" are requested on-demand through our platform, enabling any application builder to serve these critical markets without ever operating their own hardware.", "one_liner": "Autonomous Drones for Earth Observation", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1766190509, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "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/voltair", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/voltair.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106697553/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a981c3ee0de6ecf9a915e188b211780fce335e44.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d79ec52b6b572c562d9824ee4066c741860cee04.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2856509, "full_name": "Ronan Nopp", "title": "Founder/CEO", "founder_bio": "Ronan is the co-founder and CEO of Voltair.\n\nHe independently designed and tuned the controls system for a manned eVTOL aircraft while still in school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ronan-nopp", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d0281de8eb1c3cfb050974b868c6554d0bfdcbe.jpg" }, { "user_id": 2889367, "full_name": "Hayden Gosch", "title": "Founder", "founder_bio": "Hayden is the co-founder and CTO of Voltair.\n\nHe studied electrical and computer engineering at the University of Washington, where he focused on power electronics. He spent two years doing system protection engineering at Seattle City Light and later worked in R&D at Schweitzer Engineering Laboratories (SEL).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/haydengosch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/449e69781db8763a5f0bcc2b40e9ea07049fa0e2.jpg" }, { "user_id": 2981386, "full_name": "Avi Gotskind", "title": "Founder", "founder_bio": "Avi is the co-founder and CGO of Voltair.\n\nHe worked as a consultant on GTM and government affairs strategy across aerospace and space companies, including ExoAnalytic Solutions, Virgin Galactic, and briefly Amazon Kuiper.\n\nFormerly a member of the National Youth Orchestra. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avigotskind", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25618b62b79ca34fab39b400c7113f88b3caae24.jpg" }, { "user_id": 2807951, "full_name": "Warren Weissbluth", "title": "Founder/COO", "founder_bio": "Warren is the co-founder & COO of Voltair.\n\nHe studied Operations Research engineering at Rice University. Warren has previously worked for 2x NSF funded startups, where he helped raise a $1M SBIR. He interned for Boeing (structures engineering) during his freshman summer. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/warrenweissbluth/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cfd704e43373f2fb614f2483ab083f4ed3e5dc1.jpg" } ], "jobs": [ { "id": 104499, "title": "Flight Test Engineer", "url": "https://www.ycombinator.com/companies/voltair/jobs/sSOD2Ox-flight-test-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100 - $160", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109446, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/voltair/jobs/tuE1IRN-electrical-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Electrical", "salary_range": "$1K - $2K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Prototyping", "PCB design", "Sensor integration" ] } ], "news": [], "launches": [ { "id": 98780, "title": "Voltair: Network of Distributed Autonomous Drones for Earth observation", "tagline": "Critical Information On-Demand", "body": "![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/942fe394-9295-4ee8-9b6d-979e050426c9)\n\nVoltair is building the worlds first globally distributed network of autonomous drones for Earth observation. [https://voltairlabs.com](https://voltairlabs.com/)\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/5399af3e-19c1-4497-82da-618f72aa149f)\n\nPower utilities are the perfect first customer. Aging infrastructure and extreme weather drive the need for millimeter-scale inspection data on the power grid. Utilities spend tens of billions of dollars every year just looking at their own equipment. Autonomous drone fleets will enable utilities to inspect 7 million miles of infrastructure more frequently, quickly, and accurately. Our long-range, weatherized flying robots work with charging pads installed directly on utility poles. Each new pad unlocks 1000 square miles of coverage.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/68775f10-3f09-4b72-95fb-323fb497b334)\n\nWith a charging network deployed on the power grid, Voltair can serve existing multi-billion dollar data markets in road, rail and telecom inspection at 10x lower prices while enabling entirely new applications in hyperlocal weather monitoring, forestry, construction, search & rescue, and insurance.\n\n![uploaded image](/media/?type=post&id=98780&key=user_uploads/2807951/b2b86f38-c0de-4bd6-8ff2-ceb51eeed45c)\n\nVoltair envisions a future in which drone instances are requested on-demand through the platform, enabling any application builder to serve these critical markets without ever operating their own hardware.", "url": "https://www.ycombinator.com/launches/PhE-voltair-network-of-distributed-autonomous-drones-for-earth-observation", "votes": 10, "created_at": "2026-03-13T14:10:03.951Z" }, { "id": 97100, "title": "Voltair: Drones that Charge on Power Lines", "tagline": "Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. ", "body": " \n\n**Tl;dr -** We build drones that charge directly on transmission lines. Our drones can remain deployed indefinitely, positioned where utility companies need them most, and ready to inspect power lines at a moment’s notice. \n\n**Background**\n\nThe American power grid faces unprecedented challenges. Extreme weather is more frequent, more destructive, and less predictable. From 2000 to 2023, 80% of all major outages were caused by extreme weather events. At the same time, power utilities are expected to deliver higher reliability, faster restoration, and stronger wildfire and safety outcomes. Utility investments in distribution grid hardening nearly tripled from 2003 to 2023.\n\nUtilities cannot manage what they cannot see. Today, critical information on the physical grid arrives at the speed of a person reaching the problem. Linemen need high fidelity information faster to prioritize and act decisively.\n\n**Public Utilities**\n\nOur immediate focus is providing utilities with rapid infrastructure assessments across large areas following storms, power outages, and fires.\n\nAt scale, our technology enables a step change in how utilities operate. A linemen or engineer can request imagery of a specific line span or structure and receive it immediately. A downed pole in a high-risk residential area can be located and assessed quickly. Voltair can support routine, day-to-day operational visibility as well as urgent, high-consequence events.\n\nSee more here  \n\nIf you’re interested in piloting our service, reach out to [avi@voltairlabs.com](mailto:avi@volairlabs.com)", "url": "https://www.ycombinator.com/launches/PG8-voltair-drones-that-charge-on-power-lines", "votes": 19, "created_at": "2026-01-23T15:07:51.927Z" } ] }, { "id": 31016, "name": "Crosslayer Labs", "slug": "crosslayer-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d04232f7799c42a8a176b06d7c366c511a6cab7.png", "website": "https://www.crosslayerlabs.com/", "all_locations": "New York City, NY, USA", "long_description": "Crosslayer Labs detects impersonation attacks on websites and APIs. We provide \"outside-in\" monitoring of customer infrastructure, comprehensively discovering and monitoring all Internet dependencies, including DNS, BGP, TLS certs, Javascript. We correlate signals from different layers of the Internet stack to identify attack patterns. Our alerts are actionable and contain root cause analysis/remediation recommendations. Our founding team is world renowned for previously inventing the MPIC standard adopted by all the major CAs including Google, Apple, Amazon. The MPIC standard is securing over 700 million websites via the issuance of over 3 billion digital certificates, and is now a global internet standard that protects every single HTTPS connection.", "one_liner": "Protect, monitor and defend your Internet presence", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1770673305, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crosslayer-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/crosslayer-labs.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108065591/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d04232f7799c42a8a176b06d7c366c511a6cab7.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": 2814225, "full_name": "Henry Birge-Lee", "title": "Founder/CEO", "founder_bio": "I am am innovator in web and network security. I invented Multi-Perspective Issuance Corroboration (MPIC) which now secures every single HTTPS connection. I am currently focusing on building the Crosslayer Labs platform for web resource integrity.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henry-birge-lee-211002121/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb71a7d12e55b997a889dead80bbf7d885e874e1.jpg" }, { "user_id": 2799261, "full_name": "Grace Cimaszewski", "title": "Founder/CTO", "founder_bio": "I'm a recent PhD graduate from Princeton and security researcher. I've worked with the CA/Browser Forum to turn my research on TLS certificate security into ecosystem-wide requirements which now improve the security of every HTTPS connection you view in your browser. Before starting Crosslayer with my long-time research collaborators, I was a visiting research at Google and Corelight Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/grace-c-bb3945a3/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cacfdfdae5bdbb137046ddee85774b9dbd6b78e.jpg" }, { "user_id": 2348947, "full_name": "Prateek Mittal", "title": "Founder", "founder_bio": "I am a professor at Princeton University and co-founder of Crosslayer Labs (YC W26). I specialize in the field of cybersecurity/privacy and am the recipient of the ACM Grace Hopper Award. My research has helped secure every single web connection (HTTPS) worldwide and enhanced the security of deployed LLMs (e.g., GPT 3.5 and GPT4V at OpenAI). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prateek-mittal-aa859a45", "x_url": "https://x.com/prateekmittal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/521d817792974179d869977bd4cff33015f95c2d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97781, "title": "Crosslayer Labs: We discovered (and can protect you against) a new attack allowing hackers to spoof any website(!)", "tagline": "TLS certificates no longer guarantee website authenticity. We built Crosslayer Labs to stop hackers from stealing user credentials. ", "body": "**Tl;dr** Crosslayer Labs detects attacks on Internet infrastructure that allow hackers to impersonate websites and APIs. We would know; our team previously invented technology that secures every single web connection (HTTPS) worldwide.\n\n### The Problem\n\nImagine you are visiting [brex.com](http://brex.com) - but you’ve been redirected to an adversary spoofing Brex, while the lock icon on your browser still checks out.  Suddenly, all your startup money is drained. Science fiction? No, these are the next generation of security threats.\n\n \n\n### The Solution\n\nCrosslayer Labs protects websites and APIs from hijack attacks. We discover and monitor network dependencies for your domain (across the entire network stack) to detect when someone is impersonating your website. Our approach is unique in the way that it combines data from your entire network stack.\n\n[https://www.youtube.com/watch?v=QgYjFO1j08A](https://www.youtube.com/watch?v=QgYjFO1j08A&authuser=0)\n\n### Team\n\nWe are a team of serious security researchers: we invented a technology called Multi-Perspective Issuance Corroboration (MPIC) that is used to sign digital certificates (over 3 billion and counting) for all websites. \n\n**Prateek** is a Professor at Princeton, and his research has revolutionized the security and privacy of internet communications and AI systems. He helped secure every single web connection (HTTPS) worldwide and enhanced the security of deployed LLMs (e.g., GPT 3.5 and GPT4V at OpenAI). He is the recipient of the ACM Grace Hopper Award, IEEE Fellow, ACM Distinguished Member, and Distinguished Alumni awards from IIT Guwahati and UIUC. \n\n**Henry** is a member of the CA/Browser Forum and former research staff at Princeton University. Henry’s research uncovered a fundamental security vulnerability in how TLS certificates are issued to websites. He is an author of the MPIC standard at the CA/Browser Forum and he founded the Open MPIC project that implements MPIC for 1.5 million certificates a day. His work also led to DNSSEC adoption by CAs, and he is a recipient of the IRTF’s applied networking research prize.\\\n\\\n**Grace** just finished her PhD at Princeton, where she performed transformative research on the web PKI, and was named runner up for the Privacy Enhancing Technology Award and the Andreas Pfitzmann Best Student Paper Award. Grace mapped the attack surface of millions of websites to shape how MPIC was deployed by leading CAs, including working with Google Trust Services. \n\n### Ask\n\nKnow any CISOs or security heads who would lose their job if their website was impersonated? We'd love to meet. Think: crypto exchanges, fintech, banks, health care, tax portals.  Email: [contact@crosslayerlabs.com](mailto:contact@crosslayerlabs.com)", "url": "https://www.ycombinator.com/launches/PR7-crosslayer-labs-we-discovered-and-can-protect-you-against-a-new-attack-allowing-hackers-to-spoof-any-website", "votes": 6, "created_at": "2026-02-13T16:10:15.717Z" } ] }, { "id": 31019, "name": "Ndea", "slug": "ndea-com", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a1310dd1344aa031a62430dad084db50b7229d.png", "website": "https://ndea.com", "all_locations": "Remote", "long_description": "Ndea is building frontier AI systems that blend intuitive pattern recognition and formal reasoning into a unified architecture.\r\n\r\n# AI for Scientific Advancement\r\n\r\nUnlike all life before us, humanity's ascent is a story of ingenuity, not just biological evolution. Our progress has been driven by the curiosity to acquire knowledge, the ability to pass it on, and an intrinsic drive to innovate. We build technology which gives us leverage beyond our biology.\r\n\r\nWe stand at the top of a knowledge and technology colossus that we collectively created over the past ten thousand generations. Scientific progress has helped us overcome burdens that long defined human life — famines, plagues, and widespread illiteracy. Science will continue to redefine the boundaries of the human condition.\r\n\r\nToday, the acceleration of scientific progress hinges on one factor: AI capable of independent invention and discovery. This capacity is the gateway to advancements beyond our wildest imagination.\r\n\r\n# A New Research Lab\r\n\r\nWe're starting Ndea — an AI research and science lab. The name - like 'idea' with an 'n' - is inspired by the Greek concepts ennoia (intuitive understanding) and dianoia (logical reasoning), capturing our first goal to merge deep learning with program synthesis.\r\n\r\nNdea is entirely focused on developing and operationalizing AGI to realize unprecedented scientific progress in our lifetime for the benefit of all current and future generations.\r\n\r\nBuilding AGI alone is a monumental undertaking, but our mission is even bigger. We're creating a factory for rapid scientific advancement — a factory capable of inventing and commercializing N ideas.\r\n\r\nFrom our vantage point today, we see many 'known' frontiers like self-driving vehicles, drug discovery, sustainable energy, robotics, and space exploration. While AGI will benefit all of these, the most exciting adventure lies in the 'unknown'. AGI promises discoveries and progress we cannot imagine today.", "one_liner": "Building AGI that can innovate.", "team_size": 15, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1772669917, "tags": [ "Deep Learning", "Hard Tech", "Remote Work", "AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ndea-com", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ndea-com.json", "year_founded": 2024, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/ndea/", "x_url": "https://x.com/ndea", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51a1310dd1344aa031a62430dad084db50b7229d.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": 2858111, "full_name": "Francois Chollet", "title": "Founder", "founder_bio": "https://fchollet.com/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fchollet/", "x_url": "https://x.com/fchollet", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 898, "full_name": "Mike Knoop", "title": "Founder", "founder_bio": "https://mikeknoop.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mikeknoop", "x_url": "https://twitter.com/mikeknoop", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45810451d10680414c72b6b9db3769a697c4bc6d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31023, "name": "Standard Physics", "slug": "standard-physics", "former_names": [ "Inviscid AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd438978013e82ecd281b761baafad0dab9c68e.png", "website": "https://standardphysics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Standard Physics (formerly Inviscid AI) builds AI that does real physics. Most AI tools approximate physical behavior and get it wrong in ways engineers can’t see. Ours run actual numerical solvers, so the results are accurate enough to make real engineering decisions on.\r\n\r\nWe have three products built on one engine.\r\n\r\nReynolds runs computational fluid dynamics for you. An engineer describes the flow in plain language, and Reynolds writes the OpenFOAM case, builds the mesh, runs the solver, and returns the figures, the numbers, and a case they can rerun. It’s open source.\r\n\r\nArchimedes searches the design itself. Swarms of agents try thousands of layouts in parallel, simulate each one through Reynolds, keep what the physics rewards, and redraw the search space when the best answer was never in the original plan. We sell it as outcome-based engineering: customers pay for a better design, not for compute.\r\n\r\nInviscid AI (now a product!) points the same engine at a running building. It holds a data center within its thermal limits in real time, computed continuously from live telemetry. Our platform optimizes airflow patterns and ventilation strategies to eliminate dead zones, improve air distribution, and reduce the load on mechanical systems. On the energy side, we minimize HVAC power consumption, reduce cooling costs, and lower overall operational expenses while maintaining optimal thermal comfort and indoor air quality. \r\n\r\nWe work with hardware startups and engineering teams on data center cooling, drones, energy systems, piping, and electronics. Reynolds earns engineers’ trust in daily use, and Archimedes and Inviscid AI turn that trust into large contracts.", "one_liner": "Fast Physics Simulations for Rapid Design and Real Time Control", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1769244149, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/standard-physics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/standard-physics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/standard-physics/", "x_url": "https://x.com/StandardPhys", "fb_url": null, "cb_url": null, "github_url": "https://github.com/InviscidAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/edd438978013e82ecd281b761baafad0dab9c68e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2566201, "full_name": "Kabir Jain", "title": "Founder/CEO", "founder_bio": "I like physics and AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kabir-jain-781a6525a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d706dd634d225e95f024a467c2a9705078328a7.jpg" }, { "user_id": 2965234, "full_name": "Ziming Qiu", "title": "Founder/CTO", "founder_bio": "I make simulations :).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qiu-ziming-1b746a276", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68c0985a83fc0499721539da91ea610e5a39234a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98221, "title": "Inviscid AI: Real-Time Physics Simulation For Digital Twins of Built Environments", "tagline": "Real-time physics simulation that cut energy costs and accelerate design cycles", "body": "TL;DR: We are creating real-time physics simulations & digital twins of physical spaces. 1000x faster than traditional solvers; fast enough to actually optimize your energy costs, design cycles, and live operations.\n\n---\n\nBuilding operations account for approximately **40%** of **total energy consumption** in the United States and the European Union. Of that, **HVAC** alone eats up roughly **40%,**  making heating and cooling the single largest energy end-use in the built environment. And yet, the physics tools to understand and optimize these systems in real time have never existed.\n\nTraditional CFD solvers take 8-12 hours per simulation. That's fine for final-stage validation. But it means you can never use simulation to answer questions like:\n\n* \"This data center row is running hot. What's the fastest fix that doesn't require new hardware?\"\n* \"Occupancy just spiked on floor 3. What should we do with the HVAC right now?\"\n* \"We're choosing between 40 thermal designs. Can we test them all this afternoon?\"\n\nThese are real-time decisions. You can't wait 12 hours for them. So today, operators guess, over-provision, and leave massive efficiency gains on the table. Not because they don't care, but because the physics was always too slow to be useful at the moment.\n\n**We fix that.** Our engine runs \\~1000x faster than traditional solvers using GPU accelerated numerical solvers or physics-informed neural operators, fast enough to turn simulation from a one-off analysis into a live, continuous control layer over physical systems. \n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/c345ead2-296e-43a5-b200-09bb372643eb)\n\nWe've achieved _state-of-the-art_ performance on standard Navier-Stokes benchmarks across multiple physics domains.\n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/3fa0a608-633c-4083-bcd9-1ebf3561d634)\n\n![uploaded image](/media/?type=post&id=98221&key=user_uploads/2566201/57760bd4-95fd-4a4b-aeb9-692c04c68cab)\n\nThis isn't a cheaper simulation. It's a fundamentally new capability: **real-time physics-aware control of the physical world.**\n\n### **What This Unlocks**\n\n* **Live Digital Twins:** Connect to your building's sensors and get a full spatial model of airflow, thermal loads, and energy draw - updating continuously, not a static snapshot. Instead of 5 temperature readings, you get the complete picture of what's happening across your entire facility, right now.\n* **Dynamic Optimization:** Your HVAC doesn't need to run on static schedules. With a live physics model, setpoints adjust automatically as occupancy, weather, and equipment state change. We're seeing 15–30% energy reduction - not from a one-time audit, but from continuous, physics-informed control.\n* **Instant What-If Scenarios:** \"What if we move this vent?\" \"What happens if we add 200 servers to this row?\" \"How does this layout perform at peak summer load?\" Answers in seconds, not days.\n* **Rapid Design Iteration:** Test hundreds of thermal, airflow, or structural configurations in the time it takes to run one traditional sim. Explore the full design space instead of picking 3 candidates and hoping.\n\n### **Who This Is For**\n\nWe built InviscidAI to power real-time decisions across any domain where physics matters:\n\n* **Facility Operators:** Optimize HVAC, ventilation, and energy usage across office buildings, warehouses, hospitals, and cleanrooms - dynamically, as conditions change.\n* **Data Center Teams:** Manage thermal loads and cooling in real time. Plan capacity expansions with instant physics feedback instead of week-long simulation cycles.\n* **Cold Storage Owners**: Understand their facility in real time, and prevent thermal failures and product loss.\n* **Hardware & Manufacturing Engineers:** Accelerate thermal, airflow, and structural design iteration from weeks to hours. Ship better products, faster.\n* **Building Owners & Developers:** Understand exactly how design choices affect energy performance before breaking ground - and keep optimizing after move-in.\n\n### **Where We're Going**\n\nHVAC and building operations are our starting point. Our end goal is to model all fields of physics - fluid dynamics, thermodynamics, electromagnetics, structural mechanics, and beyond - and deliver real-time digital twins for any physical system. We want every engineer, operator, and designer to have a live, physics-accurate model of whatever they're building or managing. If it obeys the laws of physics, we want to simulate it in real time.\n\n### **Our Ask**\n\nWe're deploying custom digital twins for enterprise clients. We're looking for introductions to:\n\n1. **Facilities & Operations Teams:** Anyone managing large buildings, campuses, or industrial facilities with high energy costs or thermal challenges.\n2. **Data Center Operators:** Teams dealing with cooling optimization, hot spots, or capacity planning.\n3. **Hardware Engineering Teams:** Engineers frustrated with slow CFD/thermal simulation cycles.\n4. **Building Developers & Owners:** Anyone who wants physics-informed design and continuous post-occupancy optimization.\n5. **Digital Twin / IoT Platforms:** If you're building monitoring infrastructure and need a real-time physics layer, let's partner.\n\nIf you have a physics problem that you want to solve faster, we want to hear about it.\n\nBook a time here: \n\n📧 [kabir@inviscidai.com](mailto:kabir@inviscidai.com) | 📞 +1(408) 303-9627 | 🌐 [www.inviscidai.com](http://www.inviscidai.com)\\\n\\\n", "url": "https://www.ycombinator.com/launches/PYD-inviscid-ai-real-time-physics-simulation-for-digital-twins-of-built-environments", "votes": 6, "created_at": "2026-02-26T22:52:27.034Z" } ] }, { "id": 31025, "name": "ClaimGlide", "slug": "claimglide", "former_names": [ "Oak AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48782eb0f481328aac8f4b278b2ce32986e4a61b.png", "website": "https://claimglide.com/", "all_locations": "Seattle, WA, USA", "long_description": "We automate the entire end-to-end prior-authorization process for private practices for cheaper, and more accurately than they're doing today.", "one_liner": "AI automated prior-auths for private medical practices", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1772521820, "tags": [ "Digital Health", "Healthcare", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/claimglide", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/claimglide.json", "year_founded": 2025, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/claimglide", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/48782eb0f481328aac8f4b278b2ce32986e4a61b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 921970, "full_name": "Nami Lindquist", "title": "Founder/CEO", "founder_bio": "Founder and CEO of ClaimGlide. Penn M&T undergrad from Bellevue, WA. ClaimGlide increases revenue for private medical practices by increasing their prior-auth acceptance rate and speed to auth. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namilindquist/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31c0c6712850ec96c39fb3751104b2648fb412d5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31030, "name": "Haladir", "slug": "haladir", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png", "website": "https://www.haladir.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Haladir builds advanced AI systems for logistics. We sit on top of your WMS, TMS and ERP, turning their data into decisions across supply chain planning and execution: solver-grade optimization that decides what should happen, and AI agents that run the workflows. Today's AI brought intelligence. The next frontier is judgement.", "one_liner": "Operational Intelligence for Global Logistics", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1766374394, "tags": [ "Logistics", "Supply Chain", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/haladir", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/haladir.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/haladir/", "x_url": "https://x.com/Haladirofficial", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/haladir", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b1a47bf16f93d71a3d1f3af6d10a6c736e170b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/077073cf18700d7e1edd475232d633ec075bb136.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2487577, "full_name": "Jibran Hutchins", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Haladir | Carnegie Mellon University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jibran-hutchins-42500b26b/", "x_url": "https://x.com/jibranhutch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/987640bffd5262eeebe44296085c3da0038b2741.jpg" }, { "user_id": 2695652, "full_name": "Quan Huynh", "title": "Founder/CIO", "founder_bio": "Cofounder @Haladir", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/quanmhuynh/", "x_url": "https://x.com/quanmhuynh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05de19f72552f6a3317ae6d45e1cbbc378ab8060.jpg" }, { "user_id": 2711900, "full_name": "Joseph Tso", "title": "Founder/COO", "founder_bio": "Co-founder @ Haladir | CS @ Princeton", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josephtso", "x_url": "https://x.com/josephtso914", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20afb2e3ed767cd1880a6f822f73c5817a60fb4a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98580, "title": "Haladir: Building Operational Superintelligence", "tagline": "Combining formal solvers with LLMs to make AI reliable for high-stakes operational decisions", "body": "**TL;DR:** Haladir is an AI product lab that combines formal solvers with LLMs to make AI reliable for constrained systems. We turn unreliable model outputs into **verifiable, optimal decisions** for industries like **logistics, critical software, and manufacturing**. We are working with one of the leading AI labs to bring our technology to post-training.\n\n**Launch Video: [https://www.youtube.com/watch?v=caPPFAmL8Iw](https://www.youtube.com/watch?v=caPPFAmL8Iw)**\n\n**The Problem**\n\nOperationally-complex companies (logistics, supply chain, etc.) need to make thousands of decisions a day under tight, real-world constraints. Even when given ample context, we observe that the top models often fail to understand these constraints when placed in difficult scenarios, providing suboptimal or confidently incorrect responses. Though they excel at individual tasks like coding and data analysis, optimizing across systems with millions of interdependent variables under hard constraints remains beyond what current models can do on their own.\n\n**The Solution**\n\nHaladir combines formal solvers with LLMs to give models a fundamental understanding of constraints rather than just semantic context. For logistics and supply chain companies, this means routing, scheduling, and resource allocation that AI can reason through rather than guess at.\n\nWe build at both the model training layer and the application layer. On the training side, we build solver-based RL environments and data pipelines for frontier labs. On the application side, we build model harnesses that allow deployed agents to operate within constrained, sensitive workflows and make optimal decisions. Decades of development in solvers like Gurobi and SAT/SMT have produced incredibly powerful technologies, but there's a growing gap between these tools and how AI is deployed today. We're here to close that gap.\n\nRead our research: [haladir.com/research](http://haladir.com/research)\n\n**The Team**\n\nIn high school, we published and were cited in IEEE and Elsevier Q1 journals for operations research and machine learning. We left Carnegie Mellon, Princeton, and UVA to build Haladir.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You work at a logistics, supply chain, or manufacturing company where AI isn't yet delivering on real decision-making\n* You work at or with frontier AI labs interested in solver-based training environments\n* You know talented people in operations research, formal methods, or applied ML\n\n👉 Contact us at [founders@haladir.com](mailto:founders@haladir.com)\n\n💼 Follow us on LinkedIn: www.linkedin.com/company/haladir\n\n📱 Follow us on X: x.com/Haladirofficial", "url": "https://www.ycombinator.com/launches/Pe0-haladir-building-operational-superintelligence", "votes": 21, "created_at": "2026-03-08T21:01:35.301Z" } ] }, { "id": 31036, "name": "Mantis", "slug": "mantis", "former_names": [ "Mantis Biotechnology" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2b5bfa4fe3cce9bf181ad8d59612747b7903c6d.png", "website": "https://mantisbiotech.com/", "all_locations": "New York City, NY, USA", "long_description": "Mantis is a digital twin company that combines LLMs with high-fidelity physics simulations in order to convert rare and difficult-to-access human behavior data into predictive models. ", "one_liner": "Digital Twins of humans", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1766166166, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mantis", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mantis.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mantis-biotech/", "x_url": "https://x.com/home", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mantis-biotech", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d2b5bfa4fe3cce9bf181ad8d59612747b7903c6d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1566590, "full_name": "Georgia Witchel", "title": "Founder/CEO", "founder_bio": "I'm an Ex-elite ice climber turned repeat computer science / biomedical founder. After bringing climbing to an Olympic stage (Lilihammer 2016), breaking 8 world records, and developing the sport of ice climbing, I dropped out of high school, got a degree in CS from Harvey Mudd, was a founding engineer for a sports tech company, founded a YC company (Louiza Labs), and earned a master's in Bioengineering. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/georgia-witchel-852b78149/", "x_url": "https://x.com/GWitchel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6fe2f88ae2382ca1a34661c5b297ffde95696e9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31040, "name": "CatchBack Cards", "slug": "catchback-cards", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8f942ca456108e32e9d31bad4a83c39521732358.png", "website": "https://catchbackcards.com", "all_locations": "San Francisco, CA, USA", "long_description": "CatchBack Cards is a mobile app and website platform for maximizing the thrill of collecting Pokemon and Sports cards. We allow collectors to create custom mystery packs with personalized chases and customized odds with cryptographically trusted tooling. Users can rip open digital packs and get physical cards shipped to them, receive buyback offers on cards pulled from their mystery packs sent straight to Venmo and PayPal, and buy/sell cards in our $1 marketplace.\r\n", "one_liner": "The most thrilling way to create and rip digital collectible packs", "team_size": 7, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1769404688, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer", "Gaming" ], "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/catchback-cards", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/catchback-cards.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109636610/admin/dashboard/", "x_url": "https://x.com/catchback_cards", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8f942ca456108e32e9d31bad4a83c39521732358.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": 2323858, "full_name": "Joseph Zhang", "title": "Founder/CEO", "founder_bio": "Previously early engineer at a crypto startup building a DEX and NFT launch platform. Former consultant at McKinsey working on AI transformation projects for large enterprises, and software engineer at AWS focused on cloud storage infrastructure.\n\nPersonally sold over $500K in Pokémon cards, giving deep familiarity with the collectibles ecosystem.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-zhang-116152187/", "x_url": "https://x.com/sohan_zhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de289942b5219fd5f93b4acb14c5124a72db901d.jpg" }, { "user_id": 3126931, "full_name": "Sophia Kim", "title": "Founder/CPO", "founder_bio": "Building a gamified Web3 platform for liquidity in the collectibles space.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sophia-sol-kim/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a425e29f8c50a899732fd8ad07fa65a517126040.jpg" } ], "jobs": [ { "id": 92721, "title": "GTM", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/eOn5CtQ-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $135K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97374, "title": "Growth Intern (Fall, Winter cycles)", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/Z1FjbKi-growth-intern-fall-winter-cycles", "location": "San Francisco, CA, US", "type": "Internship", "role": "Product", "role_type": null, "salary_range": "$20 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 103097, "title": "Video Producer (TCG, Motion graphics, Clipping)", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/9ObmvcV-video-producer-tcg-motion-graphics-clipping", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$85K - $150K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Adobe After Effects", "Adobe Premiere" ] }, { "id": 103098, "title": "Lead Creator & Social Media Manager", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/FIu37HA-lead-creator-social-media-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $105K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 108848, "title": "3D Modeler", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/ak2YNSE-3d-modeler", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 110110, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/catchback-cards/jobs/my0vzkm-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97204, "title": "CatchBack Cards: Maximizing the thrill of collecting trading cards", "tagline": "Create personalized mystery packs and flip collectibles in real time", "body": "Hi YC, I’m [Joseph Zhang](https://bookface.ycombinator.com/user/2323858) and I’m working with my cofounder [Sophia Kim](https://bookface.ycombinator.com/user/3126931) to build CatchBack Cards,  an iOS and web platform for maximizing the thrill of collecting Pokemon and Sports cards. We allow collectors to create custom mystery packs with personalized chases and customized odds with cryptographically trusted tooling. Users can rip open digital packs and get physical cards shipped to them, receive buyback offers on cards pulled from their mystery packs sent straight to Venmo and PayPal, and buy/sell cards in our $1 marketplace.\n\n[catchbackcards.com](http://catchbackcards.com)\n\ncatchback cards on the iOS app store\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/bc1ee024-41f9-4255-83d2-4920a5a622ef)\n\n\n\n**What we’re building**\n\nThe trading card market is massive, fast-growing, and _very_ large in transaction volume. Globally, physical trading cards (sports, Pokémon, anime like One Piece, etc.) represent a $20B+ annual market, growing at double-digit rates (\\~10–15% YoY) even after the pandemic boom. Beyond retail sales, billions of dollars move through the secondary market each year via graded cards, private deals, and resale platforms. What’s striking is how _offline_ this economy still is: at local and regional card shows, millions of dollars change hands over a single weekend, through cash deals, trades, box breaks, and private six-figure transactions—most of it fragmented, informal, and poorly tracked. This is a real, high-velocity market hiding in plain sight.\\\n\\\nMystery packs are popular in Pokémon and sports cards, but today they’re mostly run manually or through platforms with high fees and limited transparency. CatchBack lets anyone create their own mystery packs with their desired pool of cards, risk levels, and personalized odds, and gives collectors the option to buy packs, to list cards in the marketplace, and to get an instant buyout offer on whatever they hit in the pack. We provide cryptographic randomness proofs and open source our card selection code so that users can independently verify and trust our mystery packs. Users trust our packs more because they can pick exactly what goes into their pool and can see mathematical proof, which physical mystery packs cannot recreate. \n\nWe’re also building a platform that digitizes cards and allows users to transact ownership rights to cards for just $1. Previously, eBay buyers dealt with fraud issues, ridiculous hidden fees, and shipping headaches, and we’re creating a system that allows for maximal liquidity and convenience in speculating on card investments.\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/478ed561-02d9-403a-83d8-2496f9b6a458)\n\n![uploaded image](/media/?type=post&id=97204&key=user_uploads/2323858/f43cc95b-6446-4770-838b-e588f40ebfbc)\n\n**Who it’s for**\n\nOur users are card collectors who open mystery bags and creators (Pokémon, sports cards, slabs) who already sell to communities on Instagram, Discord, and live marketplaces. \n\n**Why we started this**\n\nWe spent a lot of time buying, selling, and comping cards across eBay, Whatnot, and Instagram DMs, and kept seeing the same problems: high fees, fragmented liquidity, and a lack of trust in mystery packs. Other blind box sites stuff their bags with undesirable floor hits and gouge their users on shipping fees, listing fees, and marketplace fees. We’ve built a platform that maximizes dollar value for collectors–maximal cashback with CatchBack. \n\n**Current state**\n\nWe launched our iOS app on Jan 25, 2026. We’re at 700 users and $13K MRR and are growing aggressively week over week. We’re launching a joint collaboration with Steph Curry’s trading card company and looking to connect with other mentors and companies in the trading card space!\n\n**How to Participate**\n\nWe’re offering a free $25 credit on a $100 deposit. Users can create a mystery pack of 5 cards that have a market value of $50, and can be guaranteed one of these $50 cards for a $25 deposit! We offer free shipping on cards. DM us on our instagram @catchback_cards after creating an account on our platform, and we’ll set you up with the credit!", "url": "https://www.ycombinator.com/launches/PHo-catchback-cards-maximizing-the-thrill-of-collecting-trading-cards", "votes": 366, "created_at": "2026-01-27T13:00:03.280Z" } ] }, { "id": 31048, "name": "FullSeam", "slug": "fullseam", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d791283eb9d18f99f2eee62fd335ead9af79f84.png", "website": "https://fullseam.com", "all_locations": "", "long_description": "FullSeam builds agents for corporate accounting. Our agents replace manual accounting tasks that typically happen outside of our customers’ accounting software, like accounts payable, accounts receivable, and reconciliation.", "one_liner": "AI agents for corporate accounting teams", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1769713322, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "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/fullseam", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fullseam.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/fullseam/", "x_url": "http://x.com/FullSeam", "fb_url": "https://www.facebook.com/profile.php?id=61583790849054", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d791283eb9d18f99f2eee62fd335ead9af79f84.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": 135383, "full_name": "Thomas Dowling", "title": "Founder/CEO", "founder_bio": "Tom is the co-founder of FullSeam (W26). FullSeam automates work for corporate accounting teams. \n\nHe previously co-founded TaxProper (S19), the leading property tax software for institutional real estate investors, which was acquired by Opendoor (NASDAQ: OPEN) for 8-figures in 2022.\n\nHe advised the Mayor of Chicago and was appointed by Illinois Governor JB Pritzker to oversee a $700m/year state agency. He has a BA from UIUC and an MSc from Oxford, where he was a Rhodes Scholar.", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-dowling-2a3aabb7", "x_url": "https://x.com/thetomdowling", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/206345135153a440b96b6d934482b34f493511e0.jpg" }, { "user_id": 867395, "full_name": "Aaron Coppa", "title": "Founder/CTO", "founder_bio": "Aaron is the co-founder of FullSeam (W26), the AI employee for finance and accounting teams.\n\nHe was the founding engineer at TaxProper (S19), the leading property tax software for institutional real estate investors, which successfully exited to Opendoor (NASDAQ: OPEN) in 2022.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaron-coppa-451a1955/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08224bf96ef8cbf67bdc5e8181360e6f85f23cbd.jpg" }, { "user_id": 315029, "full_name": "Geoff Segal", "title": "Founder/President", "founder_bio": "Geoff is the co-founder of FullSeam (W26), the AI employee for finance and accounting teams.\n\nHe previously co-founded TaxProper (S19), the leading property tax software for institutional real estate investors, which successfully exited to Opendoor (NASDAQ: OPEN) in 2022.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/geoff-segal-744407ba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45b0121e16c54590ff4b237dfebb29bec99497b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97900, "title": "FullSeam: Your AI-powered finance and accounting teammate", "tagline": "Automate accounts receivable and accounts payable", "body": "Hey everyone 👋\n\nWe’re [Tom](https://www.linkedin.com/in/thomas-dowling-2a3aabb7/), [Geoff](https://www.linkedin.com/in/geoff-segal-744407ba/), and [Aaron](https://www.linkedin.com/in/aaron-coppa-451a1955/), the co-founders of [FullSeam](https://fullseam.com/).\n\n# **TL;DR**\n\n**FullSeam is your AI-powered finance and accounting teammate.** \n\nFullSeam agents log into a company's existing accounting tools and perform routine tasks that accounts receivable and accounts payable teams usually do by hand - like communicating with vendors and customers, recording payments, and updating financial records.\\\n\\\n**Ask:** Is your accounting team doing AR and AP manually? Introduce us! Email [tom@fullseam.com](mailto:tom@fullseam.com) or book a [demo here](https://fullseam.com/book).\n\nWe’re also helping customers with cash application, reconciliation, and more. Feel free to reach out if your team is doing a process manually that you think could be automated! \n\n\n\n# 👫 Our story\n\nWe’re the same team that founded TaxProper, our first YC-backed company. At TaxProper, we paid more than a $1 billion a year in property tax payments for our customers until we were successfully acquired by Opendoor. \n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/6d1853f9-5cc5-4804-9644-e5ab59b94d90)\n\nWe started FullSeam because we lived this pain ourselves.\n\nAt TaxProper, we were growing quickly — but our accounting team was drowning in invoicing, reconciliations, customer questions, and exception handling. The software we used kept records, but it didn’t do the work. Humans still had to chase emails, upload documents, correct entries, and follow up until payment landed.\n\nWe realized accounting teams don’t need another dashboard — **they need teammates**.\n\n# How it works\n\nFullSeam's AI agents plug into your ERP, billing system, and spreadsheets and take over repetitive, error-prone accounting and finance work – without changing how your team operates.\n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/6dfee408-d7bd-4a26-b717-df5d1e9d9061)\n\nFor accounts receivable teams, FullSeam:\n\n* Follows up with customers until payment is received\n* Produces requested documentation\n* Enters invoices and updates directly into customer AP portals\n\nFor accounts payable teams, FullSeam:\n\n* Ingests invoices from email, portals, and PDFs\\\n Matches invoices to POs, contracts, and proof of service\n* Follows up with vendors when information is missing\n* Categorizes expenses, pushing clean entries into your GL\n\n# Ask\n\nIs your accounting team doing AR and AP manually? Introduce us! Email [tom@fullseam.com](mailto:tom@fullseam.com) or book a [demo here](https://fullseam.com/book).\n\nWe’re also helping customers with cash application, reconciliation, and more. Feel free to reach out if your team is doing a process manually that you think could be automated! \n\n![uploaded image](/media/?type=post&id=97900&key=user_uploads/135383/947901a4-64e7-44cc-88e6-9f38666be879)\n\n", "url": "https://www.ycombinator.com/launches/PT2-fullseam-your-ai-powered-finance-and-accounting-teammate", "votes": 17, "created_at": "2026-02-17T19:10:30.411Z" } ] }, { "id": 31051, "name": "Corvera", "slug": "corvera", "former_names": [ "Sarah.AI", "Sarah AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ba3bd8042a63e5e4cc8707533d8561d2aa5bf74.png", "website": "https://corvera.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Corvera (YC W26) is the AI sales agent for CPG brands. We turn the data a brand already has into the actions its sales team takes today.\r\n\r\nA CPG brand sells into tens of thousands of independent US stores through dozens of distributors, and works that base with a handful of people. CLEAN Cause, a $20M yerba mate brand, covers 21,000 stores through 46 distributors with a four-person sales team. The accounts worth a call are not capped by headcount. The team is.\r\n\r\nCLEAN Cause now runs its daily sales decisions on Corvera: 5,000 queries in 40 days across 12 users, $250K of opportunities surfaced within days, and a 7x return on the analysts they would otherwise hire.\r\n\r\nWith Corvera in place, every sales rep starts the morning with:\r\n- The stores to act on today, ranked and priced, with the reason on the row,\r\n- The outreach already drafted to the right contact at the right distributor, and\r\n- The follow-up booked, logged, and measured against the goal it was set to move.\r\n\r\nAll from the distributor feeds, retailer portals, and ERP data they already have, resolved into one context layer - without a data team, and without handing their sales to a broker.\r\n\r\nWe’re founded by Chris (2x Founder; ex-CEO at Better Nature; Forbes 30U30), Dirk (ex-Google Data & AI Lead), and Matthew (ex-Head of Product at Rosemark; Princeton MEng in CS).\r\n\r\nTo date, we’ve raised $6.2M and are backed by YC, firstminute capital, 6 Degrees Capital, 20VC, Rebel Fund, Duke Capital Partners, and more. Our ICP is US CPG brands doing $20M+ in retail revenue through UNFI, KeHE and DSD distributors. We sell to VPs of Sales and CEOs.\r\n\r\nThe incumbents prove the scale. Brokers take 5-12% of a $350B US independent grocery market, and Advantage Solutions, a publicly traded company, does $3.5B in annual revenue.\r\n\r\nOur mission is bold: to enable the next generation of unicorn CPG brands to be run by teams of less than 10 people.\r\n\r\nOur vision is even bolder: to give every CPG brand the coverage of a full sales team at a fraction of the headcount, and displace the broker network that covers the US independent channel today.\r\n\r\nVisit www.corvera.ai to learn more!", "one_liner": "The AI sales agent for CPG brands", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1763141207, "tags": [ "SaaS", "Consumer", "B2B", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Sales" ], "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/corvera", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/corvera.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/covera-ai/", "x_url": "https://x.com/corveraai", "fb_url": "https://www.facebook.com/profile.php?id=61586474546530", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ba3bd8042a63e5e4cc8707533d8561d2aa5bf74.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bc928e230e5816eafd2670b87d79f00f5d7e5a82.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/70ffab5ef0a561dc9301ea2a549faf473e218c57.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3038174, "full_name": "Christopher Kong", "title": "Founder/CEO", "founder_bio": "2× founder; previously CEO & Co-Founder of Better Nature, Europe's #1 tempeh brand - sold in 5,000 retail stores across 6 countries. Closed every sales deal and led every fundraise. Turned down a job offer at McKinsey to start the business straight out of university. Worked very hard and learnt a lot about how CPG brands operate.\n\nOxford Uni grad, Forbes 30 Under 30, and World Athletics-ranked marathon runner. Now giving everything to Corvera, the AI sales engine for CPG brands.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cwnkong/", "x_url": "https://x.com/chriskong852", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9238a1c5b939ec83a46ca72b61e979661caa0c0b.jpg" }, { "user_id": 3149010, "full_name": "Dirk Breeuwer", "title": "Founder/CTO", "founder_bio": "Previously AI Lead at Google. Led the AI transformation for the Google Pixel in EMEA driving 20%+ cost reductions by automating processes using data and AI. Build Google's Global marketing data warehouse, enabling use cases including marketing mix models which helped optimise $100M+ in marketing spend. \n\nBefore Google I built Hugo's (LATAM last mile delivery acquired by Delivery Hero) order forecasting model, as well as site location models informing regional retail chain store expansion. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dirkbreeuwer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6fa43c3533a3c00594c7ab78aa339ce86b786e44.jpg" }, { "user_id": 1655952, "full_name": "Matthew Collins", "title": "Founder", "founder_bio": "Co-founder and CPO of Corvera, the AI agent workforce for CPG back-office. Ex-CPO of Rosemark (successor startup to Rosetta acquired by Publicis for $575m). Grew Eton's CS dept. Princeton ECE grad and varsity lightweight rower.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/itsmcollins", "x_url": "https://x.com/matthewncollins", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5c9a9fe27e2816cf92ce37d3a3b3c884c9c8736.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96996, "title": "Corvera 🛒 | AI agents for CPG brands", "tagline": "AI agents that automate retail brand ops and increase profits by 40%", "body": "Hey, we’re [Chris](https://www.linkedin.com/in/cwnkong/), [Dirk](https://www.linkedin.com/in/dirkbreeuwer/) and [Matthew](https://www.linkedin.com/in/itsmcollins/) - cofounders of Corvera!\n\n# **TL;DR**\n\nCorvera is the AI agent workforce for CPG back-office. We help retail brands increase profits by up to 40% by deploying digital workers that run their operations. \n\n**Ask:** Looking for intros to CPG brands that sell into retail, ideally with > $50M in ARR. Direct them to our website to schedule a demo!\n\n**Website:** \n\n**Book a demo:** \n\n\n\n### **The Problem**\n\nRetail CPG brands are drowning in operational debt.\n\n* **Ops is a massive opportunity cost** – US CPG brands waste 40% of their time and spend $78bn managing supply chains when they should be getting their products out there and selling to more customers.\n* **Poor ops is a huge growth bottleneck** – CPG founders typically stem from product, marketing, or sales backgrounds. Therefore, ops handled by non-ops founders = distraction, pain, and time wasted on non-value-add tasks.\n* **Ops pain scales with the brand –** Ops debt and headcount grow as a brand serves more customers, launches more products, and operates in more geographies, further hampering the brand’s growth.\n\n### **The Solution**\n\n**Corvera is the fully autonomous command centre managing ops for fast-growing retail brands.** \n\nWe help brands cut wastage, improve margins, and maximise revenue, with an AI workforce that knows exactly how CPG brands work. We automate the 3 core ops workflows which consume the most time and hamper growth:\n\n**1) Sales Order Processing**\n\n_Process orders end-to-end without lifting a finger._\\\n\\\nCorvera plugs into your existing tools and automatically processes sales orders end-to-end, from fulfillment to invoice. It parses email PDFs and text, matches them against known entities in our catalogue, and executes downstream actions with human-in-the-loop approvals.\n\n**2) Inventory Management**\n\n_Track inventory across every location in real time._\n\nCorvera knows exactly where your stock is and how much you’ve got at all times. We seamlessly sync inventory data across all of your warehouses, track shipments and transfers, and suggest actions to rebalance stock across your estate to maximize short-term revenue.\n\n**3) Demand Forecasting & Supply Planning**\n\n_Forecast demand in real time and automatically process purchase orders to prevent stockouts._\n\nCorvera learns from your sales history and, coupled with insights from your team, forecasts demand in real time. With full visibility of your inventory across all locations, Corvera suggests corrective actions to prevent stockouts, so you can maximize your revenue, keep your customers happy, and accelerate your growth. \\\n\\\n**In short:** We take away ops pain from CPG brands, allowing them to do what they do best - market and sell their products to their customers. \n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=96996&key=user_uploads/3038174/4e3af8f4-816c-4f7e-bb27-9a529803d966)\n\nFrom Left to Right:\n\n[**Dirk Breeuwer**](https://www.linkedin.com/in/dirkbreeuwer/) (Co-Founder & CTO)\n\nFormerly Data and AI Lead at Google with 6+ years of experience. Led Google’s marketing AI transformation, incubating five AI systems, including a multi-agent workflow automation that improved brand compliance review efficiency by 90%.\n\n[**Christopher Kong**](https://www.linkedin.com/in/cwnkong/) (Co-Founder & CEO)\n\n2x Founder, Forbes 30U30, formerly CEO of Better Nature - one of Europe’s fastest-growing and largest meat-free brands, active in 6 countries and sold in 5,000+ retail stores. Closed every major sales deal and led every fundraise.\n\n[**Matthew Collins**](https://www.linkedin.com/in/itsmcollins/) (Co-Founder & CPO)\n\nEx-CPO at Rosemark, an AI-powered B2B data analytics and marketing platform, and scaled the Computer Science department at Eton College, the UK’s most prestigious boarding school. A Princeton grad with an MEng in CS. \n\n[**Berk Güngör**](https://www.linkedin.com/in/berk-g%C3%BCng%C3%B6r-35196a14a/) (Founding Engineer & Head of AI Engineering)\n\nAI/ML Engineer with 6+ years of experience, focused on applied LLMs and real-world AI automation. Holds an MSc in AI from the University of Hamburg. An all-round beast and an incredible asset to the team - we’re lucky to have him.\n\n### **What We’re Looking For**\n\n**Introductions to CPG retail brands with >$50M of revenue.** We’ve got a product that’s ready to go. Keen to meet as many CPG brands as possible between now and demo day!\n\n### **Get In Touch**\n\nContact us: [founders@corvera.ai](mailto:founders@corvera.ai)\n\nBood a demo: ", "url": "https://www.ycombinator.com/launches/PES-corvera-ai-agents-for-cpg-brands", "votes": 17, "created_at": "2026-01-21T02:00:02.532Z" } ] }, { "id": 31054, "name": "ARC Prize Foundation", "slug": "arc-prize-foundation", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cfa6fd37255bf3036179eb9d4770661d2f35d12.png", "website": "https://arcprize.org/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "ARC Prize builds AI benchmarks that measure general intelligence. Our benchmark, ARC-AGI, has been used by OpenAI, Anthropic, Google DeepMind, and xAI.\r\n\r\nFounded by Mike Knoop and Francois Chollet, we inspire open source artificial general intelligence (AGI) research through benchmarks (the ARC-AGI series), global competitions, research grants, community, and content, we exist to guide researchers, industry, and regulators on the path to AGI.\r\n\r\nWe believe that AGI requires more than just scaling up existing AI models. It demands a fundamental shift towards systems capable of genuine fluid intelligence, the ability to adapt to novel challenges and solve problems efficiently, much like humans do.", "one_liner": "AI benchmarks that measure general intelligence and inspire new ideas", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1769103962, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arc-prize-foundation", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/arc-prize-foundation.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arcprize", "x_url": "https://x.com/arcprize", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6cfa6fd37255bf3036179eb9d4770661d2f35d12.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": 3165689, "full_name": "Greg Kamradt", "title": "Founder/President", "founder_bio": "Greg is the president of ARC Prize Foundation. He leads the nonprofit's work building benchmarks that have been used by OpenAI, Anthropic, Google, and xAI.\n\nPreviously, Greg led ops + product at Digits (AI Accounting), and spent several years at Salesforce driving strategy, growth, and predictive analytics.\n\nGreg is also the founder of Leverage, teaching 100K+ developers how to build their first AI applications through his YouTube channel (66K subs).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gregkamradt/", "x_url": "https://x.com/GregKamradt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aba8d2c41d2e7534ee4369adb868141e99a330c3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31057, "name": "Valgo", "slug": "valgo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c34fbe5d783459ff37f7c664b24ff15cf5e7843.png", "website": "https://valgo.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Insurers struggle to price autonomous systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output a simulated loss estimate that insurers need to price coverage. Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.\r\n\r\nOur team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. Sydney and Robert are Stanford PhDs with leading expertise in safety of physical AI systems. Sydney wrote the textbook on validating safety-critical systems and teaches the course at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. Jon is a Sloan Fellow from the Stanford GSB and an actuary who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.", "one_liner": "Insurance risk layer for physical AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1763584142, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/valgo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/valgo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/valgorithmic", "x_url": "http://x.com/valgorithmicinc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c34fbe5d783459ff37f7c664b24ff15cf5e7843.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/40cd37dfa9a6ac03a5a2859a89fb37afa73e8a9d.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3135423, "full_name": "Robert Moss", "title": "Co-Founder", "founder_bio": "Stanford CS PhD with thesis on algorithms to validate safety-critical systems. Former research staff at MIT Lincoln Laboratory on the core team that designed and validated the aircraft collision avoidance system (ACAS X), now a worldwide standard. Other relevant experience working at Xwing (an autonomous aircraft startup now part of Joby Aviation), and NASA Ames Research Center.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-j-moss", "x_url": "http://x.com/mossrj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9605b91100758c2571fc6440abbd53f466fd2bed.jpg" }, { "user_id": 3152351, "full_name": "Sydney Katz", "title": "Founder/Technology", "founder_bio": "Stanford Aero/Astro PhD with thesis on safe machine learning. Author of \"Algorithms for Validation\" textbook. Lecturer for \"Validation of Safety-Critical Systems\" course at Stanford. Industry experience at Reliable Robotics, MIT Lincoln Laboratory, Johns Hopkins Applied Physics Laboratory, and NASA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/smkatz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6dd238264acb2b3b6e034f6d17a8588547dffdb.jpg" }, { "user_id": 3484361, "full_name": "Jon Qian", "title": "Founder/President", "founder_bio": "Stanford GSB Sloan Fellow.\n12+ years in leadership positions for one of the largest insurer in Asia-Pacific.\nResponsible for over $5 billion in insurance company mergers and acquisitions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jon-qian-82b63046/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bfb51bc84982e803b6d46c8e1c8f28f5bb58847.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98558, "title": "Valgo — Risk quantification for insurance of physical AI", "tagline": "The risk quantification platform that insurers need to price the autonomous future.", "body": "_TL;DR — Valgo is the risk quantification layer for insurance of physical AI. Since historical claims data doesn’t exist for autonomy, we turn simulations into loss estimates that insurers need to price coverage._\n\n\n\nInsurers face challenges pricing physical AI systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output simulated loss estimates that insurers need to price coverage. **Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.**\n\n**Team.** Our team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. [Sydney](https://www.linkedin.com/in/smkatz/) and [Robert](https://www.linkedin.com/in/robert-j-moss/) are Stanford PhDs who wrote the [textbook](https://algorithmsbook.com/validation) on validating safety-critical systems and teach the [course](https://youtube.com/playlist?list=PLoROMvodv4rOq1LMLI8U7djzDb8--xpaC&si=G0EqPyi8SMDcQO3Q) at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. [Jon](https://www.linkedin.com/in/jon-qian-82b63046/) is a Sloan Fellow from the Stanford GSB who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.\n\n**Our Ask.** We would love to talk with you if:\n\n* you work at a robotics and autonomy company\n* you work with insurance brokers, agents, insurers, and reinsurers\n* you know talented individuals in robotics systems, safety validation, and insurance\n\nContact us at [founders@valgo.ai](mailto:founders@valgo.ai)\n\n![uploaded image](/media/?type=post&id=98558&key=user_uploads/3135423/bf14aade-05d8-4b09-ba35-a9ec543171c3)\n\n", "url": "https://www.ycombinator.com/launches/Pde-valgo-risk-quantification-for-insurance-of-physical-ai", "votes": 17, "created_at": "2026-03-06T22:40:59.899Z" } ] }, { "id": 31058, "name": "Eos AI", "slug": "eos-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd0b037eb6046909b41c644a8cad8e8e5064ea8.png", "website": "https://www.helloeos.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Eos helps clinics turn their data into actionable insights to identify more eligible patients and early care interventions.\r\n\r\nWe harmonize historical data across all systems to create standardized patient data distributions, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of raw data stay where it is while allowing us to search and reason across it as one system.\r\n\r\nInstead of treating the visit or document as an isolated instance, we can look at it as a continuous story. We can predict how a case will resolve, trigger the required approvals and actions, and do so while reducing staff workload and recovering hospital revenue.", "one_liner": "Autonomous OS for healthcare", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1772312996, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare" ], "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/eos-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/eos-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/helloeos/", "x_url": "https://x.com/_eosai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd0b037eb6046909b41c644a8cad8e8e5064ea8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1928939, "full_name": "Arya Khokhar", "title": "Founder/CEO", "founder_bio": "CS + Math @ Caltech | Research @ Stanford Medicine | YC Summer Fellow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arya-khokhar", "x_url": "https://x.com/ary_src", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3dc9b9569db507128c39396e97ad0e3aa634d1d3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98511, "title": "Eos AI - Autonomous OS for hospitals", "tagline": "Our healthcare system is failing the people it’s supposed to serve. At Eos AI, we are fixing that.", "body": "**TLDR:** We help hospitals turn their historical data into intelligence they can act on, catching operational and care breakdowns before they happen.\n\nWe create standardized data representations across all systems and time, retrieving similar trajectories to generate actionable forecasts so administrators and physicians can intervene early, save staff hours, and recover revenue.\n\n**We are live (bless up!):**\n\nIn our early clinics, we are seeing \\~3x productivity improvements in admin workflows and 37% revenue recovery by identifying early intervention points and automating operational workflows.\n\n![uploaded image](/media/?type=post&id=98511&key=user_uploads/1928939/beca5e3e-27f7-475a-ae9b-f639169912f2)\n\n#feedourdoctors\n\nToday, hospitals have more data than any other industry in the world, but only 3% has been utilized to inform care decisions. And this is because healthcare is one of the most fragmented systems _somehow_ still in play:\n\n* a single patient’s data sits across EHRs, imaging systems, payer portals, specialty-specific software\n* it exists in completely different formats and distributions\n* and none of the systems can talk to each other\n\n**So what’s the solution:** move the intelligence to the data\n\nEos acts as an intelligent hub that helps healthcare systems collate all their data across fragmented sources, and make intelligent predictions on top of it. We first harmonize data across all platforms to create a unified and standardized patient data distributions and timelines, acting like a translation layer between different applications. Then we build a centralized index over it: a compressed representation that lets petabytes of data stay where they are yet allows us to search and reason across it as one system.\n\n\n\n**What this enables us to do:**\n\nInstead of treating the visit or document as an isolated instance, Eos looks at the patient’s full history and compares it to thousands of similar patients over time. It predicts how a case will resolve, triggers the required approvals and actions, and does so while reducing staff workload and recovering hospital revenue.\n\n**The team:**\n\nI’m Arya, I studied Math and CS at Caltech and did a lot of clinical AI and bio research at Stanford and Caltech. As long as I can remember, I have always wanted to be a doctor to help people (cliché, I know, but true nonetheless!), and realized the best way to help as many people as possible is to build a tool that every doctor can use. And super excited to have Professor Kuo from Stanford on board as well!\n\n**How you can help:**\n\nWe are looking to scale our early successes. If you know anyone who works at health systems or independent clinics, would greatly appreciate an introduction!\n\nCheers,\\\nEos AI :)", "url": "https://www.ycombinator.com/launches/Pct-eos-ai-autonomous-os-for-hospitals", "votes": 29, "created_at": "2026-03-05T19:16:54.438Z" } ] }, { "id": 31062, "name": "Hlabs", "slug": "hlabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2007aefe34bda2618000c044128494ad2cb4af5f.png", "website": "https://www.hlaboratories.com", "all_locations": "Austin, TX, USA", "long_description": "HLabs is making an industrial supply chain for building robots in the USA including electronics and actuators, with a focus on in-house manufacturing.\r\n\r\nRobotics is going to be one of the largest industries the world has ever seen. Teams have to buy what they can from overseas and then build everything else in house just to get something to move. HLabs is producing a plug and play set of robotic primitives to accelerate the early development and then working with larger scale production robots for bespoke designs.\r\n\r\nEarly customers span across household robotics, humanoids, robot arms, quadrupeds, and defense.\r\n\r\nHlabs is founded by Paul, a second time YC founder who also participated in the W21 batch with Mystic. He ran Mystic as CEO for 6 years.\r\n\r\n", "one_liner": "US-Made Parts for Robots", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1763422443, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hlabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/hlabs.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hlaboratories", "x_url": "https://x.com/hlabs_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2007aefe34bda2618000c044128494ad2cb4af5f.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": 316612, "full_name": "Paul Hetherington", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Hlabs (W26), Prev Founder and CEO of Mystic (W21).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-hetherington/", "x_url": "https://x.com/paulcjh_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0a028873ab868127c0bbf011e8d660b44e256b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98674, "title": "HLabs: US-made robot actuators and electronics", "tagline": "An ecosystem of US-made plug and play parts to build robots", "body": "Hi, I’m Paul the Founder of HLabs and we’re making what you need to get a robot to move. \\\n\\\n**TL;DR**\\\nHLabs is an ecosystem of US-made plug and play parts to build robots; an Nvidia Jetson companion board, 2-channel wireless module, FOC control boards, motors and actuators. With HLabs no time is wasted getting things to work. You can focus on what matters. Our launch sale is live right now at [hlaboratories.com](https://hlaboratories.com)\\\n\\\n**Most robots look like college projects**\\\nRight now to make a robot you have to stitch together a bunch of different PCBs with jumper cables and wait weeks for blackbox actuators to arrive from China.\\\nYou spend lots of time debugging why your CAN bus isn’t working, why every actuator performs differently, and meanwhile your wires keep coming loose.\\\n\\\nYou say that you’ll design your own PCBs and controllers to bring everything together but you keep putting it back because something else more important keeps coming up.\\\n\\\nThese problems plague bigger companies too and add a huge amount of additional time to projects. On top of this there’s huge unpredictability in geopolitics and supply chains when sourcing from overseas.\\\n\\\n**It doesn’t have to be this way**\\\nHLabs is making a plug-and-play ecosystem for everything that you need to build a robot. We’re starting with:\n\n* RB1 - A robot main board powered by an Nvidia Jetson. This handles power distribution, compute, and a bunch more.\n* WM1 - 2-channel wireless radio for sending video/data making the RB1 remotely controllable over USB-C.\n* M1 - A pancake motor.\n* ACB3 - An FOC control board with matching connectors to the RB1.\n* A1/A1m - A planetary/cycloidal actuator powered by the ACB3.\n\n![uploaded image](/media/?type=post&id=98674&key=user_uploads/316612/b61549b8-41f6-4ec5-be50-30d521a92762)\n\nThese products abstract away all of the complexity in designing and controlling a robot's electronics. Complicated communication interfaces are replaced with simple python libraries. You can now focus on getting your robot to walk instead of turning on reliably.\n\nOur focus is on working with startups building medium to large size robots like quadrupeds, humanoids, and robot arms!\\\n\\\n\\*\\*There’s a launch sale on right now!\\*\\*\\\nEverything is up for preorder right now with the electronics shipping this summer, and the M1 shipping in the next 1-2 months. You can place an order on our store here while the sale last for this week:\n\n\n\nThanks!", "url": "https://www.ycombinator.com/launches/PfW-hlabs-us-made-robot-actuators-and-electronics", "votes": 13, "created_at": "2026-03-10T20:57:15.085Z" }, { "id": 98675, "title": "HLabs: US-made robot actuators and electronics", "tagline": "An ecosystem of US-made plug and play parts to build robots", "body": "Hi, I’m Paul the Founder of HLabs and we’re making what you need to get a robot to move. \\\n\\\n**TL;DR**\\\nHLabs is an ecosystem of US-made plug and play parts to build robots; an Nvidia Jetson companion board, 2-channel wireless module, FOC control boards, motors and actuators. With HLabs no time is wasted getting things to work. You can focus on what matters. Our launch sale is live right now at [hlaboratories.com](http://hlaboratories.com)\\\n\\\n**Most robots look like college projects**\\\nRight now to make a robot you have to stitch together a bunch of different PCBs with jumper cables and wait weeks for blackbox actuators to arrive from China.\\\nYou spend lots of time debugging why your CAN bus isn’t working, why every actuator performs differently, and meanwhile your wires keep coming loose.\\\n\\\nYou say that you’ll design your own PCBs and controllers to bring everything together but you keep putting it back because something else more important keeps coming up.\\\n\\\nThese problems plague bigger companies too and add a huge amount of additional time to projects. On top of this there’s huge unpredictability in geopolitics and supply chains when sourcing from overseas.\\\n\\\n**It doesn’t have to be this way**\\\nHLabs is making a plug-and-play ecosystem for everything that you need to build a robot. We’re starting with:\n\n* RB1 - A robot main board powered by an Nvidia Jetson. This handles power distribution, compute, and a bunch more.\n* WM1 - 2-channel wireless radio for sending video/data making the RB1 remotely controllable over USB-C.\n* M1 - A pancake motor.\n* ACB3 - An FOC control board with matching connectors to the RB1.\n* A1/A1m - A planetary/cycloidal actuator powered by the ACB3.\n\n![uploaded image](/media/?type=post&id=98675&key=user_uploads/316612/b61549b8-41f6-4ec5-be50-30d521a92762)\n\nThese products abstract away all of the complexity in designing and controlling a robot's electronics. Complicated communication interfaces are replaced with simple python libraries. You can now focus on getting your robot to walk instead of turning on reliably.\n\nOur focus is on working with startups building medium to large size robots like quadrupeds, humanoids, and robot arms!\\\n\\\n\\*\\*There’s a launch sale on right now!\\*\\*\\\nEverything is up for preorder right now with the electronics shipping this summer, and the M1 shipping in the next 1-2 months. You can place an order on our store here while the sale last for this week:\n\n\n\nThanks!", "url": "https://www.ycombinator.com/launches/PfX-hlabs-us-made-robot-actuators-and-electronics", "votes": 3, "created_at": "2026-03-10T20:57:07.912Z" } ] }, { "id": 31064, "name": "Origin", "slug": "origin-bio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f0bdde9261c1483c617c9ca235a7378e3d7ba10.png", "website": "https://origin.bio/", "all_locations": "San Francisco, CA, USA", "long_description": "We produce patient-derived cancer datasets for licensing to pharmaceutical and AI companies. Our data comprises matched spatial transcriptomics, H&E and clinical labels. We operate our own laboratory, where samples are processed. Samples are sourced from leading biobank / hospital networks.\r\n\r\nAs R&D workflows increasingly rely on frontier AI systems, we believe there is critical need for real world datapoints so that findings translate in the clinic.", "one_liner": "AI and Data for Cancer Therapeutics", "team_size": 8, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1770167044, "tags": [ "AI-powered Drug Discovery", "Biotech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "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/origin-bio", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/origin-bio.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/origin-bio-inc/", "x_url": "https://x.com/origin_bio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f0bdde9261c1483c617c9ca235a7378e3d7ba10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 552024, "full_name": "Yash Rathod", "title": "Founder/CEO", "founder_bio": "CEO @ Origin | Computer Science @ UIUC, Computer Vision and Reinforcement Learning Research, First Prize 2022 OpenCV AI Research Competition.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yrraadi", "x_url": "https://x.com/yrraadi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b46413aa00b725fde17f09bbd006abf2e62de7d.jpg" }, { "user_id": 1327757, "full_name": "Malhar Bhide", "title": "Founder/CTO", "founder_bio": "CTO @ Origin | Prev: Computer Science @ UIUC, ML Research @ Wadhwani AI, Automorphic (YC S23). Published disease modeling research done in high school in Nature Scientific Reports.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/malhar-bhide-9002791a7/", "x_url": "https://x.com/malhar317", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0819722e70db62421af0ad70c9116c693f24efcd.jpg" } ], "jobs": [ { "id": 112652, "title": "Computational Biologist, Spatial Transcriptomics", "url": "https://www.ycombinator.com/companies/origin-bio/jobs/a7q1q8R-computational-biologist-spatial-transcriptomics", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Science", "role_type": "Biology", "salary_range": "$140K - $170K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "R", "Data Analytics", "Bioinformatics", "Genomics", "Biology" ] }, { "id": 116342, "title": "Head of Data Partnerships", "url": "https://www.ycombinator.com/companies/origin-bio/jobs/9BFC3r8-head-of-data-partnerships", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $250K", "equity_range": "1.00% - 1.50%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Machine Learning", "Data Analytics", "Bioinformatics", "Biotechnology", "Genomics", "Drug development" ] } ], "news": [], "launches": [ { "id": 97480, "title": "Origin - Safer Cell & Gene Therapies with AI", "tagline": "AI designed regulatory DNA sequences to program gene expression patterns", "body": "\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/dd558bc0-b110-466f-b603-d3acb473ba54)\n\nHey everyone!\n\nWe’re Yash and Malhar from Origin.\n\n**TL;DR**\n\n* Using AI to make cell & gene therapies **safer** by designing **DNA switches and dials**.\n* Our model’s synthetic regulatory sequences program precise gene expression patterns in disease cells.\n* We’re building the **largest** **proprietary dataset** consisting millions of experimentally validated regulatory DNA sequences across many different cell and tissue types.\n* Our model **outperforms Google DeepMind’s AlphaGenome** at predicting regulatory element activity.\n\n\n\n**The Promise**\n\nCell and gene therapies have successfully been used to treat diseases like stage IV leukemia, retinal disease, and spinal muscular atrophy. However, their application is limited due to concerns around safety and efficacy. But this drug class holds the promise of being a **durable cure** for diseases like cancer, autoimmune, neurodegenerative, aging, and more.\n\n**The Problem**\n\nToxicity events largely arise due to our inability to control **where**, **when,** and to **what** extent genes are turned on. Regulatory DNA sequences - enhancers and promoters - function to modulate the expression of genes. Current approaches to design these sequences involve naive methods like repeats of known motifs (patterns) and random ligation. These methods either **reliably yield poor candidates** or require **brute force to search** for even one promising hit.\n\n\n\n**Our Solution**\n\nAxis – our state-of-the-art model – is trained to design and screen regulatory DNA to activate therapeutic genes in target disease cell-states.\n\nAxis is able to rapidly sample **millions** of functional candidates when prompted by the cell-state. We’re currently testing these sequences in the lab to produce the **largest proprietary dataset** of synthetic regulatory elements, measuring their interaction with transcription factors and the phenotypic outcomes of gene expression.\n\n**Axis’ sequences have the highest predicted expression in targeted cell types**\n\nUsing Malinois, an independent and in-vitro validated prediction model by the Broad Institute, we observed that Axis’ generated sequences had the highest transcriptional activity in the cell type they were prompted by.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/deb58343-aec7-4554-a176-d4ff1927da9f)\n\n**Axis’ sequences contain known biological features**\n\nRegulatory DNA sequences are activated when proteins called transcription factors bind to them at specific patterns of ATGCs known as motifs.\n\nHNF4A is a known master regulator of hepatocyte and liver gene expression. We observed that in the generated sequences, its known motif most frequently occurred in HepG2 (liver cell line) targeted sequences.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/d4e9dc1a-47c7-4599-99f3-f0b4d8980c6a)\n\n**Axis’ sequences have high diversity and explore a large design space**\n\nOver 72% of our generated sequences have no BLAT alignment match up amongst themselves (using a 20bp threshold).\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/45c66f66-c144-46ac-aea9-2739e6aae6d9)\n\n**Axis outperforms Google DeepMind’s AlphaGenome**\n\nAxis demonstrates strong performance in predictive benchmarks measuring molecular properties of real regulatory sequences. These include measures like chromatin accessibility and transcription factor protein binding.\n\n![uploaded image](/media/?type=post&id=97480&key=user_uploads/552024/f1b68778-ea47-44b1-a2fc-ee4ac39c25bf)\n\n**The ask:**\n\nIf you know or are someone working on partnerships at pharmaceutical / biotech companies working in cell & gene therapies, reach out to explore:\n\n* Partnering on regulatory sequence designs for target disease cells.\n* Getting access to our proprietary dataset of sequence properties, sequence-protein interactions, and cell-state perturbations.\n\n\\\nFeel free to reach out via email at [yash@origin.bio](mailto:yash@origin.bio)", "url": "https://www.ycombinator.com/launches/PMG-origin-safer-cell-gene-therapies-with-ai", "votes": 18, "created_at": "2026-02-04T21:33:23.276Z" } ] }, { "id": 31066, "name": "Payna", "slug": "payna", "former_names": [ "Paena" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3a28cf26f93d8a445e3e43a81921c8ba0399547.png", "website": "https://payna.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Payna is building the AI licensing agent for regulated companies. We automate the filings, renewals, amendments, and regulator follow ups required to get licensed and stay licensed across jurisdictions, so teams no longer have to manage compliance through spreadsheets, email threads, and expensive outside firms. Starting with financial services categories like lending, debt collection, and money transmission, Payna helps companies move faster, stay compliant, and scale without adding compliance headcount linearly.", "one_liner": " AI Licensing Agent for Regulated Industries", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772054441, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/payna", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/payna.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/payna", "x_url": "https://x.com/payna_co", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3a28cf26f93d8a445e3e43a81921c8ba0399547.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": 2660262, "full_name": "Aaron Chen", "title": "Founder/CEO", "founder_bio": "Worked as a product engineer at an a16z backed DeFi startup helping scale crypto products, then went on to win ETHGlobal New York and ETHGlobal Delhi while earning recognition from Business Insider and the Ethereum Foundation. After building in crypto and seeing firsthand how painful manual licensing and compliance workflows are for regulated companies, now building Payna to automate regulatory licensing and ongoing compliance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaron-c2024/", "x_url": "https://x.com/boewu_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37b77a2048b96469fd9205ef300bac1441421563.jpg" }, { "user_id": 3168409, "full_name": "He Song", "title": "Founder/CTO", "founder_bio": "Founded and scaled a company at a $15M valuation as a freshman, then launched a token at $60M. Built a crypto lending product at Berkeley, spent months inside multi-state licensing workflows doing it manually. Now building Payna, automate regulatory licensing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/he-song/", "x_url": "https://x.com/7_hesong", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b679d05a6c3a8686aa685cd305745b65427a966c.jpg" } ], "jobs": [ { "id": 97487, "title": "Software Engineer - Full Time", "url": "https://www.ycombinator.com/companies/payna/jobs/ikNEbqz-software-engineer-full-time", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $180K", "equity_range": "0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "TypeScript", "Vector Databases" ] } ], "news": [], "launches": [ { "id": 98661, "title": "Payna: The AI Licensing and Compliance Team for Regulated Companies", "tagline": "Payna helps companies file lending, debt collection, insurance, MTL licenses and more across all 50 states in record time, then automates renewals and ongoing regulatory compliance so teams can focus on growth and real revenue.", "body": "**We are live with companies in debt collection and lending operating on tens of millions of dollars each month, compliantly.**\n\n**TL;DR:** If you are in insurance, lending, mortgage, debt collection, money transmission, digital assets, or one of the many regulated verticals that make up **trillions of dollars of economic activity,** you need licenses to operate. Payna helps companies get licensed faster, stay licensed across all 50 states, and navigate the hundreds of overlapping requirements, renewals, and filings that otherwise slow growth.\n\n\n\n**The Problem:**\n\nCompanies that touch any surface area across lending, mortgage, insurance, debt collection, money transmission, digital assets, and other regulated verticals often need licenses to operate in each state. So getting operational across all 50 states usually means **either hiring expensive paper pushing firms or manually coordinating filings across dozens of systems .**\n\nEven after filing, companies need dedicated teams or counsels to monitor different renewal schedules by state, **including annual, quarterly, monthly, odd year, and even year cycles,** while also filing ongoing amendments, reports, deficiency responses, and rule changes after approval.\n\n**The Solution:**\n\nSince going live a few weeks ago **we've already:**\n\n1. Helped a company file required debt collection licenses across multiple states in record speed, organizing forms, evidence, and regulator requirements into a structured workflow.\n2. Automatically compiled licensing checklists, renewal reports, communications, and regulatory obligations across jurisdictions, so teams know exactly what filings, renewals, and maintenance duties are coming next.\n3. Monitored regulatory updates and surfaced upcoming rule changes early, giving companies time to respond before new requirements become compliance issues.\n4. Signed six figures in annual contract, reflecting how painful licensing and compliance operations are for companies trying to launch in new states, operate securely, and protect revenue without hiring large compliance teams or relying on slow firms charging massive billable hours.\n\n**What We're Looking For:**\n\nIf you know any **Chief Compliance Officers, Heads of Compliance, General Counsel, Operations Leaders, or Founders** at companies in debt collection, lending, mortgage, insurance, money transmission, digital assets, or other regulated industries that need help getting licensed across jurisdictions and managing ongoing compliance, we would love to talk at [founders@payna.com](https://payna.com)!\n\n**The Team:**\n\nWe are from UC Berkeley, with deep experience in AI and crypto. We met in Blockchain at Berkeley, and our last venture as a crypto lending company ran directly into the licensing wall, which is why we decided to solve this problem ourselves.\n\n[Aaron](https://www.linkedin.com/in/aaron-c2024/), CEO previously worked as a product engineer at an a16z crypto backed DeFi startup and saw firsthand how licensing bottlenecks delayed launches for months.\n\n[He](https://www.linkedin.com/in/he-song/), CTO built products across early stage fintech and crypto and got tired of watching founders wait 12 months for permission to launch something they built in 12 weeks.\n\n![uploaded image](/media/?type=post&id=98661&key=user_uploads/2660262/9b6aa5c3-3020-45bd-ab0d-a17b6f7510d3)\n\n", "url": "https://www.ycombinator.com/launches/PfJ-payna-the-ai-licensing-and-compliance-team-for-regulated-companies", "votes": 21, "created_at": "2026-03-10T15:21:55.874Z" } ] }, { "id": 31077, "name": "Panta", "slug": "panta", "former_names": [ "Panta Insure" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dff0894649ff29064b020845633a9ebb22c2e9de.png", "website": "https://pantainsure.com", "all_locations": "San Francisco, CA, USA", "long_description": "Panta is a technology-enabled commercial insurance brokerage: we combine AI-powered internal workflows with licensed brokers to help businesses secure complex coverage faster than anyone in the world. ", "one_liner": "AI Native Commercial Insurance Brokerage ", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1766956081, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/panta", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/panta.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pantainsure/", "x_url": "", "fb_url": null, "cb_url": "Panta", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dff0894649ff29064b020845633a9ebb22c2e9de.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1041197, "full_name": "Vincent Chen", "title": "Founder/CEO", "founder_bio": "Founder @ Panta (W26). Building a commercial insurance brokerage run by AI agents.\n\nPreviously, I spent three years at Google building deep learning models and deploying agentic AI systems to billions of users (NotebookLM, Google Photos). I also built large-scale recommendation systems used by Fortune 500 companies like Disney.", "is_active": true, "linkedin_url": "https://linkedin.com/in/zihong-chen", "x_url": "https://x.com/dsdvincent", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaf15d4bb0b4e89f5c09ba4544c32853afb14bd2.jpg" }, { "user_id": 2747620, "full_name": "Frank Wang", "title": "Founder/CTO", "founder_bio": "Founder at Panta (W26), building a commercial insurance brokerage powered by AI agents. Previously, he worked as a full-stack engineering contractor supporting Apple, where he built generative-AI and real-time systems. He contributes to the Gleam programming language and Rust's cargo-semver-checks, and earned an M.S. in Financial Engineering from UIUC with a 3.94 GPA and the Dr. Z. Ju Scholarship.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jiangdawang/", "x_url": "https://x.com/lifetime0x", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3e87c5b75826f532fa0172326fc8a3b277fd2a9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98174, "title": "Panta: AI-native commercial insurance brokerage", "tagline": "OpenClaw-style AI operators on a rack of Mac Minis doing the work of thousands of brokers.", "body": "## TL;DR\n\nPanta(Pantainsure.com) is an AI-native commercial insurance brokerage. Our AI operators run on a rack of Mac Minis — working with real file systems, logging into portals, writing forms, negotiating with underwriters, making calls — doing the exact same work a human broker does, across thousands of clients at once. We've been in production since December.\n\n\n\n## The Problem\n\nNot every business can buy insurance off the shelf. Standard insurers simply won't touch a trucking fleet, a nightclub, or a nursing home. These businesses need a broker to find specialty carriers willing to write the policy, negotiate the terms, and get it bound. This hard-to-place segment, known as the Excess & Surplus (E&S) market, accounts for $125B in premium every year.\n\nGetting one of these businesses insured takes \\~50 steps over two weeks. The broker's actual judgment matters for maybe 5% of the process. The other 95% is pure coordination—noticing what's next, executing it, and remembering where every file stands across email, phone, text, and PDF.\n\nBecause the entire workflow relies on human memory, every broker hits a hard ceiling at around 400 clients. It's not a lack of skill—it's simply impossible for one human brain to track the real-time state of 400 complex placements across emails, carrier portals, and PDFs.\n\n## Why We Go Full-Stack Instead of Selling Software\n\nEvery AI insurtech today focuses on making **one step** out of those **50** faster: better form fill, better quote analysis, better email drafts. But there are **no software margins in making a human 10% faster**. A broker who saves 10 hours a week goes from 400 clients to maybe 440 max.\n\nThe bottleneck isn't the speed of any single step—it's the single human brain holding the entire state of the placement together. So what does it take to go from **400** to **4,000** clients? This is the key: you can't build your way out of a coordination bottleneck with better software tools. To scale 10x, the **entire human coordination layer has to go**.\n\nWe spent months selling AI tools to brokers before realizing this. So, we stopped selling software and became the broker.\n\n## What We Built\n\nPanta is a licensed brokerage where the operations layer is entirely automated. Because of the complexity of brokerage workflow, **we built an internal OpenClaw agent way before it went viral out of necessity**. Our agents operate inside the exact same systems a human broker uses: file systems, carrier portals, email, phone, and PDFs.\n\n* **Submissions:** Read transcripts, emails, loss runs. Fill ACORDs and market-specific apps. Submit to the right carriers. Track every requirement.\n* **Follow-ups:** Chase underwriter responses. Answer questions. Keep every file moving until quotes are bindable.\n* **Service:** Issue COIs, handle endorsements. Same-day turnaround.\n* **Renewals:** Rebuild the risk file. Re-shop early. Surface tradeoffs before the last week.\n\nEverything is licensed, regulated, and audited. We have **human approval** gates on high-stakes actions and maintain full audit logs.\n\n**Example:** An armed security company guarding a 100,000-person stadium came to us after being rejected by six brokers over the course of a month. No one would touch it. Our agents had bindable quotes in three days with 60 emails.\n\n## The Team\n\n![uploaded image](/media/?type=post&id=98174&key=user_uploads/1041197/06096fb3-5d3d-420e-ba2c-048f0ba254ab)\n\nWe're both licensed commercial insurance brokers. Together we've placed explosives manufacturers, hazardous gas facilities, roofers, steel mills, and hazmat trucking. One placement alone meant 70 pages of forms, 100+ emails across carriers and underwriters, and weeks of back-and-forth — we've done this hundreds of times by hand. Everything Panta automates is a workflow we've personally executed.\n\n**Vincent (CEO)** — Previously AI/ML at Google: led a team of MIT/Berkeley PhDs building Vertex AI's foundational recommendation model, led NotebookLM Enterprise, shipped Ask Photos at Google I/O.\n\n**Frank (CTO)** — Previously Apple senior engineer. Built their Gen-AI chatbot and Rust infrastructure powering 1M+ realtime messages/month. Top-10 contributor to the Rust and Gleam ecosystems.\n\nWe've been close friends since high school. Living, building, and shipping together in San Francisco for the past year, seven days a week.\n\n## The Ask\n\n* **Hard-to-place risk?** Business rejected by standard markets? Broker went dark mid-renewal? We place risks in construction, trucking, oil & gas, hospitality, and manufacturing.\n* **Know a swamped broker?** Know a broker drowning in renewals? We're onboarding partners to handle their servicing/renewal.\n* Connect us: [vincent@pantainsure.com](mailto:vincent@pantainsure.com)", "url": "https://www.ycombinator.com/launches/PXS-panta-ai-native-commercial-insurance-brokerage", "votes": 102, "created_at": "2026-02-26T01:04:24.841Z" } ] }, { "id": 31080, "name": "Didit", "slug": "didit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/202e6cd94d0ec2c8de835c56ce6b880f99f033d5.png", "website": "https://didit.me/", "all_locations": "CT, Spain", "long_description": "One API for KYC, KYB, AML, biometrics, and fraud — powered by 1,000+ data sources, 200+ signals, and in-house AI models. Global coverage. Integrate in minutes, pay as you go, 500 free checks/month. Start free at business.didit.me.", "one_liner": "Infrastructure for identity and fraud.", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1764601102, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Spain", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/didit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/didit.json", "year_founded": 2023, "city": null, "country": "ES", "linkedin_url": "https://www.linkedin.com/company/diditprotocol/", "x_url": "https://x.com/didit", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/202e6cd94d0ec2c8de835c56ce6b880f99f033d5.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": 3142948, "full_name": "Alberto Rosas", "title": "Founder/CEO", "founder_bio": "CEO of Didit. Solving identity online. Former professional tennis player. More at rosasalberto.com.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/albertorosasg/", "x_url": "https://x.com/albertorosasg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a6e8920195a56b4daffc352fbb314879f9bc9ab.jpg" }, { "user_id": 3144302, "full_name": "Alejandro Rosas", "title": "Founder/CTO", "founder_bio": "CTO. Math, problem solver, obsessive about details and learning by building; architecting Didit’s identity infrastructure from first principles. Former professional tennis player", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alejandrorosasgarcia/", "x_url": "https://x.com/_arosasg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dd409431a11e5bca005afe4b98398266c1be174.jpg" } ], "jobs": [], "news": [ { "title": "Didit Raises $7.5M Seed, Infrastructure for Identity and Fraud", "url": "https://didit.me/blog/didit-7-5m-seed-infrastructure-identity-fraud/", "date": "May 26, 2026" } ], "launches": [ { "id": 97452, "title": "Didit: the fastest way to verify real humans.", "tagline": "All-in-one identity platform built for speed and fraud prevention.", "body": "We’re Alberto and Alejandro Rosas, identical twins and co-founders of Didit. We’ve spent our lives impersonating each other. That used to be rare. Today, **AI has your photos and your voice.** Soon it will call your grandma, and she won’t know. The internet needs a fast, reliable way to prove who you are. **That’s why we built Didit.**\n\n## **TL;DR**: We made identity verification finally work on the internet.\n\n\n\n## What you need to believe …\n\nThe internet is about to get weird.\n\n* AI can already copy your **voice**, your **face**, and your **videos**. Perfect fakes are basically here.\n* Bots are about to flood everything — social media, marketplaces, apps, support chats, even phone calls.\n* Very soon, you won’t trust what you see or hear online.\n* When trust breaks, **identity becomes mandatory**. For logins, payments, access, everything.\n* This market is going to 1000x.\n\n## The problem (we’re not ready)\n\nThe scary part? Our current identity systems already suck.\n\n* They’re **slow**, **insecure**, and **expensive.** Built for a pre-AI internet.\n* You’ve felt it: verifications that take days, uploading the same document twice, random rejections.\n* Real users get stuck. Attackers get through.\n* Companies end up stitching together 5–10 vendors just to run identity. Engineers hard-code rules. Ops can’t move fast.\n\nWe don’t need more tools. We need a **new identity platform** — fast, secure, global, and simple.\n\n**Didit is that platform.**\n\n## The solution\n\n\n\nWe built Didit by doing the opposite of everyone else. We didn’t stitch together vendors or wrap legacy systems — we built everything **from scratch**: ID verification, biometrics, liveness, auth... Then we put it all together into **one all-in-one platform**. We obsessed over UI and UX, optimized every millisecond, and designed flows where real humans verify in seconds while fraud gets blocked by default. Onboarding rates go up, friction goes down, and teams finally get a complete, connected view of each user.\n\nBecause we own the entire stack, we can do something most identity companies can’t: offer **simple pay-per-use pricing at very competitive rates**. No contracts, no minimums, no surprises. Companies that switch to Didit usually switch once — and they don’t churn. Once you go Didit… you don’t go back 😄\n\n## Traction\n\n* **Millions of humans verified every month**\n* **700+ active B2B customers**, growing **\\~20% MoM**\n* **Pure PLG** so far, now layering outbound\n* **300%+ NRR by month 6**\n* **\\~90% paid customer retention** at month 6\n\nDidit clearly works.\n\nNow we’re executing the expansion into **mid-market and enterprise**.\n\n## Didit path to trillion dollar company\n\nEven if we’re Spanish, we don’t really do “**_siestas”_**. We do **relentless execution** — and we’re very good at it.\n\nWe believe identity will become one of the most important pieces of infrastructure of the AI internet. As soon as you can’t trust what you see or hear online, proving who you are becomes non-negotiable. We envision a world **where identity is frictionless and instant** — one click, face-first — and works everywhere: logging into apps, authorizing payments, accessing services online and in the physical world. Your **Didit Identity** becomes something you carry with you, **reusable, private, and trusted by default**. Long term, we even see governments running secure digital services and online democracies on top of Didit. This is a massive shift and we’re going to lead it.\n\n## Ask\n\nIf you’re verifying users or fighting bots, fake accounts, or multi-account abuse — **reach out**. We’ll help you onboard **faster, reduce fraud, and lower costs.**\n\nKnow a company dealing with identity verification / kyc ..etc? Every intro comes with an **amazing Spanish paella** 🥘 as a gift.", "url": "https://www.ycombinator.com/launches/PLo-didit-the-fastest-way-to-verify-real-humans", "votes": 35, "created_at": "2026-02-03T17:38:00.478Z" } ] }, { "id": 31081, "name": "One Robot", "slug": "one-robot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.png", "website": "https://www.onerobot.io/", "all_locations": "San Francisco, CA, USA", "long_description": "One Robot builds simulation environments that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot policies without being bottlenecked by robot time.\r\n\r\nToday, improving a VLA often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and hard to scale. For example, material handling and manufacturing assembly tasks, models need far more training and evaluation data than teams can collect in the real world.\r\n\r\nWe use task-specific data to build world model-based simulation environments for hard manipulation tasks (for example, textiles and box folding). These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\r\n", "one_liner": "World models for robot evals and training.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1771897545, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/one-robot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/one-robot.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/112377363/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e234115139eb6fced2e2703ae2ba2ee2d691412c.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": 1279427, "full_name": "Hemanth Sarabu", "title": "Founder/CEO", "founder_bio": "Bringing robots to life using world models and machine learning. Previously built robot learning and perception systems at Industrial Next, Symbio Robotics, NASA JPL, and Google. Bootstrapped geospatial AI company, Crescer AI, to profitability.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hemanth-sarabu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/602329e071fc2f5cab183561f2406d3252092f70.jpg" }, { "user_id": 3158361, "full_name": "Elton Shon", "title": "Founder/CTO", "founder_bio": "Robotics, SW/FW. Previously built robot learning and control system at Industrial Next and helped build Dojo at Tesla.", "is_active": true, "linkedin_url": "www.linkedin.com/in/elton-shon", "x_url": "https://x.com/eltonbear6996", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc72bcb74af48da17378db9826fc06748395b439.jpg" } ], "jobs": [ { "id": 93969, "title": "Founding Machine Learning - World Models", "url": "https://www.ycombinator.com/companies/one-robot/jobs/Y0Ex6AF-founding-machine-learning-world-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93970, "title": "Founding Machine Learning - Eval Layer", "url": "https://www.ycombinator.com/companies/one-robot/jobs/LDM2P6d-founding-machine-learning-eval-layer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 93971, "title": "Founding Robot Learning", "url": "https://www.ycombinator.com/companies/one-robot/jobs/POydsSA-founding-robot-learning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $275K", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96233, "title": "Machine Learning Intern ", "url": "https://www.ycombinator.com/companies/one-robot/jobs/tJSlTgB-machine-learning-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$6K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Computer Vision" ] } ], "news": [], "launches": [ { "id": 98129, "title": "One Robot - World models for robots", "tagline": "Building world model-based environments for robot training and evaluation", "body": "![uploaded image](/media/?type=post&id=98129&key=user_uploads/3158361/00dc56f4-3ce6-46b4-afbc-9da0a28bf72f)\n\n**TL;DR**\n\nOne Robot builds world model-based simulations that are realistic to see and realistic to interact with, so robotics teams can train and evaluate robot action models (VLA) without being bottlenecked by robot time.\n\n**The Problem**\n\nImproving a VLA today often means more real-world hours: setting up the scene, running trials, resetting, and repeating. This loop is slow, expensive, and fundamentally unscalable. To generalize, models need far more training and evaluation data than teams can realistically collect in the real world.\n\nHemanth and Elton used to train robots to automate the assembly of parts requiring sub-millimeter precision. As models got better, they hit a surprising bottleneck: it started taking longer to evaluate a new policy than to train it. To answer “Is model B better than model A?”, they had to:\n\nSchedule a physical robot → run tests → reset scene → record failures → tweak → retrain models → repeat.\n\nSimulations should solve this. But existing simulators fall short because they’re either not photorealistic or not physics-realistic. Neither is sufficient for learning and evaluating modern robot policies.\n\n**The Solution**\n\nWe build task-specific world models that learn contact dynamics and visual appearance from robot data, and use them to generate realistic simulation environments for training and evaluation. Instead of relying on generic physics engines, our models predict how objects move and deform under robot actions, achieving photo- and physics-realistic rollouts for hard manipulation tasks like textiles and box folding. These environments help teams run more training and evals, find failure modes faster, and accelerate iteration on action policies with less dependence on real-world data collection and robot availability.\n\n**The Team**\n\nHemanth built ML systems for robots at Google, NASA JPL, Symbio Robotics, and Industrial Next (YC W22). He previously bootstrapped a profitable geospatial AI company and built vehicle simulations at McLaren.\n\nElton spent five years at Tesla, building robotics and large-scale AI infrastructure for factory automation during the Model 3 production ramp and the Dojo supercomputer team. He later joined Industrial Next (YC W22) as head of software, building robot learning and control systems.\n\n**Ask**\n\nIf you or someone you know is training robots for real-world tasks with manipulators, let’s connect! ([founders@onerobot.io](mailto:founders@onerobot.io))\n\n", "url": "https://www.ycombinator.com/launches/PWj-one-robot-world-models-for-robots", "votes": 18, "created_at": "2026-02-25T03:42:19.254Z" } ] }, { "id": 31082, "name": "Quotient Labs", "slug": "quotient-labs", "former_names": [ "Syntropy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67e517c455ab1e170ed6b2628a4dce9546f07490.png", "website": "https://quotientlabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "You should only be paying frontier model prices for top-shelf reasoning. But 88% of your token bill is just tool I/O.\r\n Quotient Labs runs on top of Claude Code to reduce token spend, compress context, and optimize tool calls while preserving output quality. Same models, same workflow, no changes to how you work. Benchmarked 47% less cost on real, multi-step developer workflows, with no quality loss.", "one_liner": "Use Claude Code at 47% less cost in one line of installation.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1772518250, "tags": [ "Developer Tools", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/quotient-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/quotient-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quotientlabs", "x_url": "https://x.com/syntropyio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/67e517c455ab1e170ed6b2628a4dce9546f07490.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3146534, "full_name": "Saahil Sundaresan", "title": "Founder", "founder_bio": "Making coding agents cheaper @ Quotient Labs | Stanford CS & Linguistics | formerly at Apple, Amazon\n\nFeel free to reach out for anything! saahil@quotientlabs.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saahil-sundaresan/", "x_url": "https://x.com/imsaahilsangye", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e304ced8cba2226f90d21d9467a03cf7a0c608de.jpg" }, { "user_id": 3141216, "full_name": "Andrew Kuik", "title": "Founder", "founder_bio": "Making coding agents cheaper @ Quotient Labs. Stanford CS; previously at AWS, Accenture\n\nFeel free to reach out for anything!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-kuik-109749238/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d99bc8a7e3e1c6722600ee98bfbcdc3508791975.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114944, "title": "Quotient Labs: Stop overpaying Claude for tokens you don't need", "tagline": "We cut your Claude Code costs by 47% in one line of install. Same models, same workflow, half the price.", "body": "**TLDR**: **Tokenmaxxing is out. Tokenminning is in.** Quotient Labs sits on top of Claude Code and reduces the amount of context you pay for—without changing your models, prompts, projects, or workflow. Across real, multi-step developer workflows, we’ve benchmarked **47% lower token cost with no measured quality loss.** Get started today at .\n\n**The Problem**\n\nCoding agents accumulate a lot of context.\n\nEvery file read, search result, test run, tool output, generated plan, and conversation turn gets added to the session. As the session grows, this history is repeatedly re-read (and re-billed) long after it has stopped being useful in its original form. The result? **You’re overpaying Claude for tokens your agent never needed.**\n\n**Fermat’s Last Token** (our main product) sits on top of Claude Code and optimizes what enters and remains in your model’s context. We do this in four ways:\n\n1. **Faster, more cost-efficient agent tools** that batch operations and return compact, information-dense results.\n2. **Bash output compression** that preserves the useless parts of long command and test outputs while removing the bloat.\n3. **Live text compression** that removes the information-sparse and irrelevant tokens in conversation turns before they ever compound in cost. \n4. **Idle context optimization** that compresses older conversation history as the prompt cache expires (this is more often than you think; only 5 minutes TTL) while preserving the freshest context verbatim.\n\nThe important part: **you keep using Claude Code exactly as you do today.**\n\n**Observability**: See real-time estimated cost and savings down to the session and request level, as well as manage your organizations and users, in the user dashboard: . \n\n**Ready to go in 30 seconds.** Install Fermat, sign in, and continue using Claude Code normally:\n\n**curl -fsSL [https://downloads.quotientlabs.com/fermat/install.sh](https://downloads.quotientlabs.com/fermat/install.sh) | bash && fermat login**\n\n**Fermat is compatible with both CLI and the VS Code extension.** Your existing projects, prompts, models, integrations, and interface are untouched.\n\nYou can bypass Fermat (if you really want) on a particular chat any time with _claude --vanilla._ You can also fully uninstall in one line with _fermat uninstall_ (though we don’t recommend either :)).\n\n**Our ask**\n\nWe’re looking for devs and engineering teams who use Claude Code heavily, especially on long-running, tool-intensive engineering tasks. \n\nWe’d love to get feedback on where Fermat helps the most, where compression could be better, and any features or changes you’d like to see.\n\nGet started: \n\nOr message us directly: [founders@quotientlabs.com](mailto:founders@quotientlabs.com)\n\n**Founders**\n\nBefore Quotient Labs, we’ve been at Stanford (BS+MS CS/AI), industry (Apple, AWS, Accenture) and in academia (with multiple publications).\n\n![uploaded image](/media/?type=post&id=114944&key=user_uploads/3146534/39cb7ad4-595a-428f-aa75-7a0570a93673)\n\n", "url": "https://www.ycombinator.com/launches/Ttw-quotient-labs-stop-overpaying-claude-for-tokens-you-don-t-need", "votes": 9, "created_at": "2026-09-14T15:33:54.262Z" } ] }, { "id": 31083, "name": "Kita", "slug": "kita", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e2c404c5bbc49c9c8e25d9c60779b50f507ba65.png", "website": "https://www.kita.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "In emerging markets, open finance is still nascent. Most of the population is traditionally unbanked, banking APIs don’t exist, and a borrower’s financial history lives in documents: e-wallet records, bank statements, utility bills, and more. Because this data is unstructured, credit and risk teams are forced into manual review. This slows decisioning, increases costs, and caps lending volume. \r\n\r\nKita is the AI platform for global lending operations. We help lenders in emerging markets automate application completion, document verification, and underwriting from messy financial documents — using AI to extract fraud-checked data and localized risk signals that power faster, better credit decisions.\r\n\r\nUnder the hood, Kita is a learning engine. We link document-level signals to repayment outcomes, allowing our models to continuously improve fraud detection and risk assessment over time. This creates a compounding advantage for lenders as their distinct underwriting decisions feed back into the system.\r\n\r\nWe’re Carmel and Rhea. We met before Stanford and have been building together ever since. Carmel is from Manila, is a repeat founder, and spent three years in product at Apple. Rhea has a research background in computer vision and received the highest honor in Stanford Computer Science. Together, we combine deep local context with strong technical execution to build the infrastructure that expands access to credit in emerging markets.", "one_liner": "Underwrite borrowers around the world in minutes", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1767738733, "tags": [ "Fintech", "Computer Vision", "Lending", "Emerging Markets" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kita", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/kita.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kitafi/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e2c404c5bbc49c9c8e25d9c60779b50f507ba65.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774380993-db0dbd44c2140f7bda4ffe83a4e00da4/e196deff5409ad3bcec6d1491f2ca310.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022732Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=8c33ac15b728e7fabaeb0ef7b95f2ed0abf0a9af632563f8172cbb9433860c19", "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2926213, "full_name": "Carmel Limcaoco", "title": "Founder/CEO", "founder_bio": "Carmel is the co-founder and CEO of Kita.\n\nShe is from Manila and studied Symbolic Systems & Music at Stanford. Prior to Kita, she was completing her Master’s in Computer Science. She spent three summers in audio and music product at Apple, where she was one of few interns to ever ship a feature in iOS.\n\nShe was awarded by the United Nations at 16, launched the first Product Fellowship in the Philippines, and co-founded DAHA in 2022, where she took Stanford’s first marketplace from 0 to 1.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/carmellimcaoco/", "x_url": "https://x.com/carmelkita", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f01d97aa2ddb42ff43b3ff920557ed3e357c93a.jpg" }, { "user_id": 933442, "full_name": "Rhea Malhotra", "title": "Founder/CTO", "founder_bio": "Rhea is the co-founder and CTO of Kita.\n\nRhea completed her bachelor’s and master’s degrees in Computer Science at Stanford, and was an incoming PhD in Computer Vision and Robotics at Princeton. \n\nShe received the Firestone Medal, the sole highest honor of the Stanford CS Department, for her research in 2025.\n\nRhea joined her first research lab at age 13, worked on the COVID-19 vaccine at Pfizer at 17, and has since authored 7 papers recognized and awarded internationally.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rhea-malhotra-198744142", "x_url": "https://x.com/_rheamalhotra_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41cd921951ca9a07459a11145a54b179b7e9353f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97013, "title": "Kita: Turn financial documents into risk signals for lenders", "tagline": "Make document-driven decisions 70x faster, with built-in fraud checks", "body": "Hi YC! We’re Carmel Limcaoco and Rhea Malhotra, the co-founders of Kita. We met over our gap year during COVID while we were undergrads at Stanford, and have been best friends ever since. Carmel is from Manila, is a past founder, and worked in computational music and audio at Apple. Rhea has a background in computer vision & robotics and was awarded the highest honor in Stanford Computer Science. We were both completing our Master’s in CS at Stanford when we chose to build Kita full time. \n\n**TLDR:** We turn messy borrower documents into the data layer that powers lending in emerging and undertapped domestic markets.\\\n\\\n[Kita (YC W26) Launch Video](https://www.youtube.com/watch?v=_z9lR5p9NMg)\n\n**The problem**\n\nIn emerging markets like the Philippines, where there are no banking APIs, a borrower’s financial history is locked in noisy documents: bank statements, payslips, utility bills, and more. For lenders, accessing and validating a borrower’s data is nearly impossible.\n\nToday, lenders either review these documents manually or rely on legacy OCR. Manual review is slow and expensive, while OCR breaks on real-world inputs and still requires human verification. This slows loan decisioning, raises costs, and caps lending volume.\n\n**What is Kita?**\n\nKita uses vision-language models to outperform traditional OCR, turning noisy borrower documents into fraud-checked, decision-ready signals for underwriting models. We are built specifically for emerging and undertapped markets, hyperlocalized around the signals that actually drive underwriting outcomes in places like the Philippines, Indonesia, Mexico, and beyond.\n\nOver time, Kita links historical repayment outcomes to document-level signals, becoming a custom learning engine trained on a lender’s own data and decisions.\n\nWe’re starting in Southeast Asia with plans to expand to other emerging markets. We’re also exploring underserved segments in more developed markets, like parts of the U.S. where borrowers still rely on documents.\n\n**Our ask**\n\n* **Intros:** We’d love introductions to lenders or fintechs operating in lending or credit, in emerging markets or in the U.S.\n* **Founder wisdom:** If you’ve built or scaled lending, underwriting, or risk infrastructure, we’d love to learn from you and compare notes.\n* **Operators in financial services:** If you work with document-heavy workflows, we’d love to understand the problems with turning documents into usable data.\n\n![uploaded image](/media/?type=post&id=97013&key=user_uploads/2926213/83392dd0-d24f-4c82-b04a-61c6649bcaeb)\n\n", "url": "https://www.ycombinator.com/launches/PEj-kita-turn-financial-documents-into-risk-signals-for-lenders", "votes": 23, "created_at": "2026-01-23T20:12:27.746Z" } ] }, { "id": 31084, "name": "Klaus AI", "slug": "klaus-ai", "former_names": [ "Bits" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ad7cbe9bb51e9d5c0dea0e9dc6f1d62f8da6903.png", "website": "https://klausai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Get your personal OpenClaw instance on the cloud and connected to your Slack or other messaging app in 3 minutes. Pre-installed security features and common skills. ", "one_liner": "Fast and Safe OpenClaw on the cloud", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770051535, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/klaus-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/klaus-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/110927082/admin/dashboard/", "x_url": "https://x.com/usebits_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ad7cbe9bb51e9d5c0dea0e9dc6f1d62f8da6903.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": 3169998, "full_name": "Robbie Thompson", "title": "Founder/CEO", "founder_bio": "Working on personal agents. Formerly: Quant at Jane Street, FDE at Console, MCS at Stanford. Hobbies: barefoot running, foraging for wild food, meditation. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/robert-thompson-133469175/", "x_url": "https://x.com/rob0the0nerd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e83258d776b7d3b9cbfa66c191bf93ee27822b10.jpg" }, { "user_id": 316197, "full_name": "Bailey Wickham", "title": "Founder", "founder_bio": "Bailey Wickham\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/baileywickham", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d336ca5351b2589dc238aeb9cf4827ecc47e2bbe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97608, "title": "Klaus: Get Your OpenClaw Personal Assistant in 5 minutes", "tagline": "OpenClaw hosted on a VM with security and privacy built in", "body": "**Klaus is an OpenClaw instance on the cloud, set up in 3 minutes, with Slack, Telegram, Anthropic/OpenAI/Gemini, a browser, malware protection, Molthub, Moltbook, and its own email address pre-configured.**\n\nOpenClaw has gone viral because it is the most powerful AI tool on the web. It has: \n\n* Won an exception for someone to [stay overnight in the ICU with their father](https://www.moltbook.com/post/c4a170b7-aaf0-4112-9317-8129fa61a391) during a medical emergency by finding and cold-emailing 15 administrators.  \n* Created a new [social media](https://www.moltbook.com/) site that reached a million users in three days. \n* [Negotiated for a new car](https://aaronstuyvenberg.com/posts/clawd-bought-a-car) end-to-end, getting 10% off MSRP by playing two dealers against each other.\n\n \n\nBut that leaves most people to choose between FOMO and spending hours setting up a new tool, only to get hacked anyway. \n\n**Klaus** is an opinionated, batteries-included distribution of OpenClaw:\n\n* Klaus runs in the cloud with no access to any personal data by default.\n* Setup takes minutes. You don’t have to create API keys, run commands, or build apps.\n* Integrations are preconfigured with smart permissions to keep your data safe.\n* Available 24/7 in the cloud, from laptop or mobile, on your messenger of choice.\n\n \n\n**The OpenClaw hype is real:**\n\n* OpenClaw does it all: manages your inbox and calendar, helps you shop, completes forms and paperwork, writes code, etc. \n* You never have to fiddle with settings or repeat yourself, because OpenClaw remembers and learns on its own.\n* Klaus talks to you with joy and whimsy.\n\n**… but so are the risks**\n\n* Hundreds of skills contain malware.\n* Set up incorrectly, your entire internet presence is exposed.\n\nKlaus is the solution: it’s an OpenClaw instance so robust that even your parents will use it safely, so easy to set up that they’ll do it on their own. **Go to [usebits.com](http://usebits.com) to talk to Klaus today.** \n\nThe team: Bailey and Robbie met building AI Agents at Console. Previously we worked at Amazon and Jane Street. You can reach us at [founders@usebits.com](mailto:founders@usebits.com).", "url": "https://www.ycombinator.com/launches/POK-klaus-get-your-openclaw-personal-assistant-in-5-minutes", "votes": 17, "created_at": "2026-02-07T00:54:04.829Z" } ] }, { "id": 31085, "name": "Janeen", "slug": "janeen", "former_names": [ "Ruma Care" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/841e137150527d4b0f94be4164e696d52b970a81.png", "website": "https://janeen.care", "all_locations": "San Francisco, CA, USA", "long_description": "Janeen is built for infusion clinics. We handle prior authorizations and benefit investigations from start to finish (actually though!).\r\n\r\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance. \r\n\r\nCurrent medical workflows aren't built for infusion clinics. Inventory, storage, transport, and billing is still managed through paper and excel spreadsheets. And because they’re so expensive, these specialty medications are denied by insurers at a rate of 37% each year. When they are denied, when workflows fail, or patients are infused before paperwork is cleared, providers don’t get reimbursed for the medication and are left covering the costs. Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting forms. \r\n\r\nWe work with clinics across the country and have removed 95% of all manual labor in the process.", "one_liner": "Prior auths and benefits investigation for infusion clinics ", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1769561054, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare" ], "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/janeen", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/janeen.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/janeen-care/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/841e137150527d4b0f94be4164e696d52b970a81.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": 2091502, "full_name": "Meng Fei Shen", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Janeen (formerly Ruma Care). Previously, led Uber One global to 13M+ members and AI integrations for 100K+ suppliers at Walmart Data Ventures. Runs a 120+ person music collective in SF @juicytrees", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mengfei-shen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/562da7dc515d2f39415fae05f4dd537bac11796e.jpg" } ], "jobs": [ { "id": 97127, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/janeen/jobs/fUj2G2Y-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $220K", "equity_range": "0.25% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 104196, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/janeen/jobs/UgjTPgk-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.15% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 97245, "title": "Ruma Care: We help clinics get patients on their biologics faster", "tagline": "Automating prior auths for the most expensive meds", "body": "Ruma Care automates prior authorizations - we’re starting with clinics that administer the most expensive specialty medications.\n\nBiologics are expensive medications that cost $80-$150K+ per year per patient, and often need to be administered in specific settings called infusion clinics. Medical providers buy these drugs up front to secure pricing deals and safer inventory - they are reimbursed for the cost of the medications through the patients’ insurance.\n\nBecause they’re so expensive, these specialty medications are **denied by insurers at a rate of 37% each year**. When they are denied, **providers don’t get reimbursed for the medication and are left covering the costs.** Ruma Care solves this so clinics get paid, patients get treated faster, and care teams spend less time fighting insurance.\n\n### **Launch Video + Ruma Demo**\n\n[**https://youtu.be/WwAa5VreO0M**](https://youtu.be/WwAa5VreO0M)\n\n### **Problem**\n\nClinics can lose money when prior authorizations are denied.\n\nSpecialty medications like biologics cost $80K/year, which is why insurers are highly specific with requirements on access. Clinics are required to follow complex, hidden requirements such as:\n\n* Trying cheaper drugs first\n* Using specific drug brands or biosimilars\n* Submitting through fax instead of portals\n\nNone of this is standardized. Each insurance company has different rules, and those rules change quarterly.\n\nClinics with high volume spend thousands of man-hours on completing these forms: the average prior auth takes 30 minutes and is still submitted through paper, fax, and phone.  When it is denied, the process can stretch into weeks or months of appeals, phone calls, and faxes.\n\nDuring this time, clinics have already invested staff time and often administered high-cost drugs. If reimbursement is denied, that cost is never recovered.\n\n### **Product**\n\nWe do solve the problems in 3 ways:\n\n1. For each medication, diagnosis, and insurance combination, Ruma extracts the submission criteria required to get the drug approved by insurers.\n2. We pull out the correct forms, then automate the form-filling for prior authorizations.\n3. Lastly, we enroll patients in copay assistance programs, all in one workflow and platform.\n\nWe turn a process that traditionally spans 70+ online portals, disparate paper forms, and manual phone calling into a single, streamlined platform. As we process prior authorizations, our models learn from denial patterns to understand exactly what insurers need to see to get a prior authorization approved.\n\nWe are live across clinics in California and Nevada, and helped them cut the denial rates by 50% and reduce staff time per prior auth by 20x.\n\n### **Our Story**\n\nI quit my big tech job to work as a medical assistant. I wanted to understand why specialty medication access in America is so hard.\n\nChristina experienced this as a patient herself, she spent years fighting payers to get on her biologic treatments.\n\nWe met at Yale’s CS50 class freshmen year and built a Yale dining app for food ratings. We took an entrepreneurship break to work in Big Tech (Apple, Uber, & Walmart), and startups (Medallion, Sigma), scaling Uber One across 13M+ users and building ML models for Siri and iPhone users. We built products for customers like United Health Care and the U.S. Health & Human Services. Now we’re building Ruma Care.\n\nHere’s more about our story: [**https://substack.com/home/post/p-176970044**](https://substack.com/home/post/p-176970044)\n\n### **New Launch of Formulary Navigator - Free tool for providers**\n\nWe spoke with 150+ providers. Every one said navigating insurance coverage rules is their #1 challenge.\n\nSo we created the **Ruma Formulary Navigator.**\n\nProviders can enter the insurance plan, medication, and diagnosis, and instantly see coverage rules and prior authorization requirements. \n\nAnd we’re providing this for free to bring better access and knowledge to the medical community. \n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, we’d appreciate an introduction. \n\nFeel free to share this with any doctors, nurses, or medical admin staff struggling to understand new formulary changes in 2026: \n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/2091502/a9b48325-b1a3-492a-9687-f6733602764b)\n\n![uploaded image](/media/?type=post&id=97245&key=user_uploads/1967697/468d68f7-8ea2-4b53-97b4-f2191f8510fe)\n\n### **Our Ask**\n\nIf you know any hospital administrators, doctors, and coordinators at infusion clinics and hospital systems, and tech forward digital health clinics, we’d appreciate an introduction.\n\nThank you dearest gentle reader, [Meng Fei](https://www.linkedin.com/in/mengfei-shen/) & [Christina](https://www.linkedin.com/in/christina-lee-huang/)", "url": "https://www.ycombinator.com/launches/PIT-ruma-care-we-help-clinics-get-patients-on-their-biologics-faster", "votes": 1857, "created_at": "2026-01-29T18:57:44.438Z" } ] }, { "id": 31087, "name": "Lucent", "slug": "lucent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b309a5cff7d85c233aaac20ea8209b1c0736a6e.png", "website": "https://lucenthq.com", "all_locations": "San Francisco, CA, USA", "long_description": "Lucent is an AI product manager that automatically improves products based on how users behave. We use AI to watch and understand user sessions and detect bugs and UX issues. ", "one_liner": "AI that automatically improves products from user behavior", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1770303004, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lucent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lucent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lucenthq", "x_url": "https://x.com/lucent_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lucent-c1cd", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b309a5cff7d85c233aaac20ea8209b1c0736a6e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 916437, "full_name": "Alisa Rae", "title": "Founder/CEO", "founder_bio": "Previously founded and sold an Australian EdTech company, was employee #2 at MagicBrief (acquired by Canva), and was an Engineer at Atlassian.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wualisa/", "x_url": "https://x.com/raealisa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f1d2ad1bbc65dbf0b403e4a0994a5369e585f5e.jpg" } ], "jobs": [], "news": [ { "title": "Aged 22 and working solo, Alisa Rae just raised $2m for her startup", "url": "https://womensagenda.com.au/business/entrepreneurs/aged-22-and-working-solo-alisa-wu-just-raised-2-million-for-her-next-startup/", "date": "Oct 12, 2025" }, { "title": "Me, myself and AI — Capital Brief", "url": "https://www.capitalbrief.com/newsletter/me-myself-and-ai-b613bd61-83a9-44df-bf57-2576234c89ed/", "date": "Oct 09, 2025" }, { "title": "Six ANZ startups that raised $211.1 million this week", "url": "https://www.smartcompany.com.au/startupsmart/australian-startup-funding-raises-october-2025-heidi-health-octopus-deploy-nexl-opensolar/", "date": "Oct 09, 2025" }, { "title": "‘ChatGPT is my CTO’: How solo founder Alisa Rae raised $2m in just 36 hours — Capital Brief", "url": "https://www.capitalbrief.com/article/chatgpt-is-my-cco-how-solo-founder-alisa-wu-raised-2m-in-just-36-hours-46c96cf1-685a-4d8a-82d2-9ab868a2c38a/", "date": "Oct 09, 2025" }, { "title": "Tech in Asia - Connecting Asia's startup ecosystem", "url": "https://www.techinasia.com/news/australian-ai-firm-lucent-raises-1-3m-in-oversubscribed-pre-seed", "date": "Oct 09, 2025" } ], "launches": [ { "id": 98694, "title": "Lucent - AI that automatically watches your session replays", "tagline": "An AI that watches your session replays 24/7 to detect bugs and UX issues - delivering alerts in real time.", "body": "**The problem:** \n\n* You are collecting a lot of session replays but no one has time to watch them \n* Users are silently hitting bugs in your product, and most of them don’t report bugs, they just churn\n\n**The solution:** \n\nLucent is an AI that watches your session replays 24/7, and automatically detects issues your users are running into in real time\n\n**How it works:** \n\n1. Connect your PostHog account\n2. AI watches session replays 24/7\n3. Bugs get sent to your Slack or Linear as users encounter them\n\n\n\n**Founder story:**\n\n![uploaded image](/media/?type=post&id=98694&key=user_uploads/916437/3592a505-9aa1-44a1-bcbd-3717b201d587)\n\nMy name is Alisa. I previously bootstrapped and sold an Australian EdTech startup, and before then I was employee #2 at MagicBrief (acq. by Canva). I’ve always been obsessed with session replays, they’re incredibly valuable. But the data just goes to waste because no one has time to watch them. I’ve wanted something like Lucent to exist for a long time, and I’m grateful to have the opportunity to finally build this 🫶\n\n**How to get started:**\n\nIf you’d like to try it out, you can get 400 sessions processed for free and see what issues your users are coming across - most teams find issues in the first hour they didn't know existed. We’re already used by 30+ YC companies, including Reducto (W24), Julius (S22), Finta (W23), and Happenstance (W24). \n\nSign up link: [lucenthq.com](http://lucenthq.com) \n\nFor any questions, feel free to email [alisa@lucenthq.com](mailto:alisa@lucenthq.com) ", "url": "https://www.ycombinator.com/launches/Pfq-lucent-ai-that-automatically-watches-your-session-replays", "votes": 13, "created_at": "2026-03-11T15:38:52.026Z" } ] }, { "id": 31088, "name": "RunAnywhere", "slug": "runanywhere", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/361f4cc73d27e788a8d1f92355ba04c3d71218ee.png", "website": "https://www.runanywhere.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "RunAnywhere runs open-weight models at full speed wherever a company needs them. Wally is our inference stack for open models: serverless inference, BYOC, or on-prem, so code and data never leave their network. One command puts a Wally-served model inside Claude Code, DeepSeek Harness, OpenCode, Hermes, OpenClaw, etc. When a model fits on the device, the same tooling runs it locally through our open-source SDKs for iOS, Android, macOS, Windows, Linux, and web, built on kernels written by our agentic harness for Apple and Qualcomm silicon (10K+ GitHub stars).", "one_liner": "Fastest inference anywhere: open models on-prem, hosted or on-device", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1767296079, "tags": [ "Developer Tools", "Open Source", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runanywhere", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/runanywhere.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runanywhere/", "x_url": "https://x.com/RunAnywhereAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RunanywhereAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/361f4cc73d27e788a8d1f92355ba04c3d71218ee.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d2a59b0835e877f9f60b9b43278eb61b82f23221.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 725397, "full_name": "Sanchit Monga", "title": "Founder/CEO", "founder_bio": "Former Intuit engineer building RunAnywhere, the infrastructure layer for deploying fast, private, multimodal AI on-device at scale.\n\nDeep background in mobile SDKs, platform tooling, and developer products, including systems used by 50M+ active users. Previously founded products across consumer discovery, context management, agentic documentation, and mobile testing, and now focused on making on-device AI production-ready across mobile, edge, and embedded devices.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanchitmonga22/", "x_url": "https://x.com/sanchitmonga22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4df4145bbb5414a5759e0cd88d32ebaf4190a401.jpg" }, { "user_id": 2862507, "full_name": "Shubham Malhotra", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of RunAnywhere (W26). Built MetalRT: the first complete multi-modal inference engine for Apple Silicon. Custom Metal GPU kernels that pushed on-device voice AI from 900ms to ~110ms. Ex-Amazon EC2 Spot ($100M+ ARR), Ex-Microsoft Azure. Peer-reviewed researcher.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubham-malhotra-fg890a23a/", "x_url": "https://x.com/ShubhamMal72313", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36de7fe20c276b5c28fa88ab307242c6cda7a811.jpg" } ], "jobs": [ { "id": 98717, "title": "Developer Relations & Technical Content Intern", "url": "https://www.ycombinator.com/companies/runanywhere/jobs/ZJD016N-developer-relations-technical-content-intern", "location": "Remote", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$750 - $1.5K / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Android", "LLMs" ] } ], "news": [ { "title": "MetalRT brings the first unified AI inference engine to Apple Silicon", "url": "https://www.msn.com/en-us/news/other/metalrt-brings-the-first-unified-ai-inference-engine-to-apple-silicon/ar-AA1YLTt1", "date": "Mar 17, 2026" }, { "title": "RunAnywhere Is Building the Infrastructure Layer for On-Device AI at Scale ", "url": "https://techbullion.com/runanywhere-is-building-the-infrastructure-layer-for-on-device-ai-at-scale/", "date": "Mar 09, 2026" }, { "title": "Regulated Industries Are Rewriting Their AI Architecture", "url": "https://nexttechtoday.com/tech/ai/regulated-industries-are-rewriting-their-ai-architecture/", "date": "Mar 09, 2026" }, { "title": "From Cloud Dependence to Instant AI: The Rise of On-Device Voice Agents - New York Weekly", "url": "https://nyweekly.com/tech/from-cloud-dependence-to-instant-ai-the-rise-of-on-device-voice-agents/", "date": "Mar 09, 2026" }, { "title": "Why the Next Wave of AI Will Run on Your Phone - CEOWORLD magazine", "url": "https://ceoworld.biz/2026/03/06/why-the-next-wave-of-ai-will-run-on-your-phone/", "date": "Mar 06, 2026" } ], "launches": [ { "id": 117440, "title": "Wally by RunAnywhere: The fastest inference for open frontier models", "tagline": "Open-weight frontier models at real-time speed for voice and agent products, live on day one. Serverless, BYOC or on-prem.", "body": "Hi, we're Sanchit and Shubham, co-founders of RunAnywhere (W26), and we're launching Wally: our inference stack for open frontier models, hosted on our GPUs or deployed on yours.\n\n\n\n**TL;DR:** Wally serves GLM-5.3 Flash at 380 tokens per second with a 274 ms first token, faster than any endpoint on Artificial Analysis (Sep 28, 2026). New models land on day zero: Xiaomi's MiMo-V2.6-Pro was ready to serve about 8 hours after its weights dropped, and runs at 3x the speed of Xiaomi's own API (Artificial Analysis, Sep 21, 2026). The same stack deploys on-prem/BYOC at the same speed. [Sign up](https://runwally.com) and get $5 in free credits.\n\n## The problem\n\nFrontier models are slow and expensive, and you feel it most in products that run a model in a loop. A voice agent has a few hundred milliseconds before a turn feels broken. A coding agent waits for the first token on every tool call, dozens of times per task.\n\n## How Wally works\n\nWally is our inference stack for open frontier models: our own kernels, speculative decoding, and prefill kept off the decode path so a long prompt never stalls someone else's stream. We tune it per model and per traffic pattern. It runs in two places.\n\n**Hosted by us.** An OpenAI-compatible endpoint on our own GPUs, so anything that takes a base URL and a key works unchanged. Standard per-token pricing. Live today:\n\n* **GLM-5.3 Flash:** 380 tok/s\n* **DeepSeek V4.1 Flash:** 615 tok/s\n* **Qwen3.8-27B:** 485 tok/s\n* **MiMo-V2.6-Pro:** 320 tok/s\n* **GLM-5.3 Max:** 790 tok/s\n\n**Deployed for you.** The same stack on GPUs you own, in your cloud account, or on a dedicated instance we run. Same speed, your own models and fine-tunes, your traffic stays in your environment, and at token-heavy volumes it costs less than paying per token.\n\n## New models on day zero\n\nMiMo-V2.6-Pro, the top open-weights model on Artificial Analysis (Sep 21, 2026), was ready and running 3x faster than anyone else in 8 hours after Xiaomi published the weights.\n\n## The numbers\n\nArtificial Analysis lists 19 providers serving the same GLM-5.3 Flash weights (Sep 24, 2026), and Wally is 8.6x faster than Z.ai. Same model; the only difference is how it's served. Ours: 380 tok/s and a 274 ms first token, measured the same way.\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/e68127c0-8f31-4fe8-bbe2-44f587f09e67)\n\n## Beyond the benchmark\n\nBenchmarks don't always match reality, so we ran a real prompt on four providers, three times: GLM-5.3 Flash in the same OpenCode harness on Wally, Nebius, Fireworks and Z.ai, all building a game at once.\n\n\n\n![uploaded image](/media/?type=post&id=117440&key=user_uploads/725397/eaf90b9c-3be5-405a-9177-cca618fe81ea)\n\nThe same model reasons more or less on the same prompt from run to run, on every provider, so finish times look close even when the work isn't. Tokens per second of wall clock is the stable number: Wally 213, Nebius 149, Fireworks 68, Z.ai 47, averaged across the runs.\n\n## Get started\n\nPaste this into your coding agent:\n\n```\nset up https://runanywhere.ai/SKILL.md\n```\n\nWorks with Claude Code, Claude Desktop and OpenCode. $5 free on signup, no card. Standard per-token pricing after that.\n\n## Why we built it\n\nWe spent nine months making open models fast on phones and laptops, with our own inference engines for Apple and Qualcomm chips ([runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch), 10K+ GitHub stars). Our users kept needing models too big for the device, and nobody served open frontier models fast enough for a real-time loop. None of our work was specific to phones, so we pointed it at data-center GPUs.\n\n## Our ask\n\n* **If you run a voice or agent product and latency or the inference bill hurts,** email [founders@runanywhere.ai](mailto:founders@runanywhere.ai) and we'll make it faster.\n* **If a customer has asked you for on-prem,** intro us. We deploy on their GPUs.\n* **Try it** and tell us what broke: [runwally.com](https://www.runwally.com/)\n\n[Docs](https://docs.runanywhere.ai/?utm_source=launchyc&utm_medium=post&utm_campaign=wally-launch) · [X @RunAnywhereAI](https://x.com/RunAnywhereAI)", "url": "https://www.ycombinator.com/launches/UYC-wally-by-runanywhere-the-fastest-inference-for-open-frontier-models", "votes": 12, "created_at": "2026-09-29T18:59:15.687Z" }, { "id": 97041, "title": "RunAnywhere: The default way to run On-Device AI at scale", "tagline": "One SDK + Control Plane to Deploy, Route, Update, and Observe On-Device AI – Offline-First, Hybrid-Smart, Fleet-Managed", "body": "We're [Sanchit](https://www.linkedin.com/in/sanchitmonga22/) and [Shubham](https://www.linkedin.com/in/shubham-malhotra-fg890a23a/), co-founders of [RunAnywhere](https://runanywhere.ai/) (W26).\n\n**TL;DR:** Run Multi-modal AI fully on-device with one SDK and manage model rollouts + policies from a control plane.\n\nWe are already live and open source with [**\\~10.1k stars on GitHub**](https://github.com/RunanywhereAI/runanywhere-sdks).\n\n\n\n![uploaded image](/media/?type=post&id=97041&key=user_uploads/725397/86d47939-7caf-4e0f-8575-045ca2fd22bc)\n\n### The Problem\n\nEdge AI is inevitable — users want instant responses, full privacy (health, finance, personal data), and AI that actually works on planes, subways, or spotty rural connections.\n\nBut shipping it today is brutal:\n\n* Every device (iPhone 14 vs Android flagship vs low-end) has wildly different memory, thermal limits, and accelerators.\n* Teams waste quarters rebuilding model download/resume/unzip/versioning, lifecycle (load/unload without crashing), multi-engine wrappers (llama.cpp, ONNX, etc.), and cross-platform bindings\n* No real observability — you're blind to fallback rates, per-device perf, crashes tied to model version\n\n**Result:** most teams either give up on local AI or ship a brittle, hacked-together experience.\n\n### The Solution: Complete AI Infrastructure\n\nRunAnywhere isn't just a wrapper around a model. It is a full-stack infrastructure layer for on-device intelligence.\n\n**1. The \"Boring\" Stuff is Built-in** We provide a unified API that handles model delivery (downloading with resume support), extraction, and storage management. You don't need to build a file server client inside your app.\n\n**2. Multi-Engine & Cross-Platform** We abstract away the inference backend. Whether it's llama.cpp or ONNX etc, you use one standard SDK.\n\n* iOS (Swift)\n* Android (Kotlin)\n* React Native\n* Flutter\n\n**3. Hybrid Routing (The Control Plane)** We believe the future isn't \"Local Only\"—it's **Hybrid**. RunAnywhere allows you to define policies: try to run the request locally for zero latency/privacy; if the device is too hot, too old, or the confidence is low, automatically route the request to the cloud.\n\n![Voice AI Pipeline Demo](/media/?type=post&id=97041&key=user_uploads/725397/dfe1b180-e5d8-4c59-a4e8-2109d9f903f2)\n\n### Quick Links\n\n* **OSS SDKs:** [github.com/RunanywhereAI/runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks) (star if it vibes!)\n* **Full Docs:** [docs.runanywhere.ai](https://docs.runanywhere.ai)\n* **Website:** [runanywhere.ai](https://runanywhere.ai)\n\n**Try our demo apps:**\n\n* [Android](https://play.google.com/store/apps/details?id=com.runanywhere.runanywhereai)\n* [iOS](https://apps.apple.com/us/app/runanywhere/id6756506307)\n\n### Our Ask\n\nWe're in full execution mode post-launch and hunting design partners + early feedback:\n\n* Building voice AI, offline agents, privacy-sensitive features (health/enterprise/consumer), or hybrid chat in your mobile/edge app?\n* Want to eliminate cloud inference costs for repetitive queries while keeping complex ones fast?\n* Have a fleet where OTA model updates + observability would save you engineering months?\n\n**Get in touch:**\n\n* Drop us a line: [san@runanywhere.ai](mailto:sanchit@runanywhere.ai)\n* Book a quick call: [calendly.com/sanchitmonga22](https://calendly.com/sanchitmonga22)\n* Or just tell us what sucks about your current on-device AI stack — honest war stories help us prioritize.\n\nExcited to hear what you're building and how we can make on-device AI actually shippable at scale.", "url": "https://www.ycombinator.com/launches/PFB-runanywhere-the-default-way-to-run-on-device-ai-at-scale", "votes": 25, "created_at": "2026-01-22T01:27:45.855Z" } ] }, { "id": 31089, "name": "Lance", "slug": "lance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/500f8974cf64740c19c12e8fa5b25e0284652488.png", "website": "https://www.lance.live", "all_locations": "San Francisco, CA, USA", "long_description": "Autonomous AI agents that answer calls, close sales, and run operations, so your team can focus on guests. Trusted by some of the top hotel groups in the US, supporting 50+ hotels across brands like Marriott, Hilton, and Hyatt\r\n\r\nBuilt on advanced Computer Use Agent technology, Lance agents can navigate your existing hotel software, make real-time decisions, and handle complex multi-step tasks.", "one_liner": "AI Agents That Run Hotel Operations.", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768895498, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lance", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lance.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trylance/", "x_url": "https://x.com/TryLance", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/500f8974cf64740c19c12e8fa5b25e0284652488.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3149989, "full_name": "Caleb Chan", "title": "Founder/CEO", "founder_bio": "CEO of Lance. Former Head of Product and Founding Engineer at Silicon Valley Commerce (9‑figure exit). Previously product roles at Google and Salesforce, building industry-leading voice and AI agent technology.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caleb-chan-327b14239/", "x_url": "https://x.com/calebychan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61487074e22d4fca84b70c446b633f36d32bcc8.jpg" }, { "user_id": 2964770, "full_name": "Gavin Brennen", "title": "Founder", "founder_bio": "COO of Lance. Previous work on AI agents at Domo, with earlier Product & customer facing roles at SmartSuite (Series A) and Zeus.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gavinbrennen/", "x_url": "https://x.com/GavinBrennen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26d28208520f1107b163cf469f8d1ab9663c7160.jpg" }, { "user_id": 2596932, "full_name": "Gatik Trivedi", "title": "Founder/CTO", "founder_bio": "CTO of Lance. Previously founded and exited MedTec Innovate, worked on speech and language research at Stanford, and studied EECS + Business in Berkeley M.E.T. Built agent infrastructure at GI Partners and LLM eval metrics at Knowtex (YC S22).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gatik-trivedi", "x_url": "https://x.com/GatikTriv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e420be475ef903e3ef40a825e004a1a563d67bc.jpg" } ], "jobs": [ { "id": 92562, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/lance/jobs/OCpozpZ-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $260K", "equity_range": "0.30% - 0.70%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94302, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/lance/jobs/pSYc4XT-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94304, "title": "Product Marketing Manager", "url": "https://www.ycombinator.com/companies/lance/jobs/h3ggiJK-product-marketing-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 97595, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/lance/jobs/NKlvGdF-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 103096, "title": "GTM & Content Marketing Intern", "url": "https://www.ycombinator.com/companies/lance/jobs/R2XRSzI-gtm-content-marketing-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$5K - $8K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 117395, "title": "Deployment Specialist (Contract)", "url": "https://www.ycombinator.com/companies/lance/jobs/OBbE4y9-deployment-specialist-contract", "location": "San Francisco, CA, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$7.2K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97533, "title": "Lance - Your Hotel's Best Employees", "tagline": "guests got places to be", "body": "### **TL;DR**\n\n\\*\\*Lance builds autonomous AI agents that answer calls, close sales, and run operations.\\*\\*\\\nWe’re working with some of the leading hotel groups in the US operating across major hotel brands.\n\n## \n\n### **The Problem**\n\nHotels still run on phone calls for everything.\n\nGuests call for towels, late checkout, maintenance, parking, and directions. Each call kicks off a manual workflow: someone answers, gathers details, routes the task, tracks it down, and follows up.\n\nThat model breaks when teams are lean. With **65% of hotels reporting staffing shortages**, simple requests require too many people and too many handoffs.\n\nThe result is constant interruptions, slow fulfillment, missed revenue, and burned-out staff. During busy periods or after hours, hotels miss **up to 40% of incoming calls**, not because demand is too high, but because the operation doesn’t scale.\n\n## **Our Solution**\n\n**Receptionist AI Agent:** (Call, SMS, Email, Hotel Messaging Platforms) answers guests 24/7 and completes requests end-to-end\n\n* answers questions instantly and handles service requests\n* gathers the right details, routes work to the right team, escalates when needed\n* supports multiple languages so every guest gets help fast\n* takes action through **vision based computer-use agents** when workflows require navigating through older systems like on-prem PMS or CRS\n\n**Sales AI Agent:** (Call, SMS, Email) turns every inbound inquiry into a qualified revenue opportunity, so your sales team only talks to guests who are ready to book.\n\n* responds to inbound sales inquiries and RFPs automatically\n* qualifies leads and gathers booking or event details\n* follows up instantly so hotels never lose deals to slow response\n* drafts pricing, availability, and sales responses using hotel data\n* unibox keeps a full record across email and messaging\n\n**Lance Pad:** a tablet-first operations hub where service teams coordinate work and stay connected in real time across the property.\n\n* replaces walkie talkies with real-time team communication across the property\n* track open guest requests and service tasks live in one shared system\n* manage escalations and see resolution outcomes instantly\n* stays synced with Lance from request → action → completion\n\n## **Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any **hotel owners / operators** whose teams are stretched thin and juggling multiple systems for basic guest requests?\n* Do you know any **management groups (multi-property)** that want more consistent guest ops?\n\nReach us at [**founders@lance.live**](mailto:founders@lance.live) or schedule a demo today at[ ](http://atlance.live)[**lance.live**](http://lance.live)\n\n![uploaded image](/media/?type=post&id=97533&key=user_uploads/3149989/d1260b85-dc13-4e25-bcc1-dc54d7623fdd)\n\n", "url": "https://www.ycombinator.com/launches/PN7-lance-your-hotel-s-best-employees", "votes": 40, "created_at": "2026-02-05T18:03:20.011Z" } ] }, { "id": 31090, "name": "Docura Health", "slug": "docura-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcf719c51dea2161bc0d4cdea73a80b7a6c917f9.png", "website": "https://docurahealth.com", "all_locations": "San Francisco, CA, USA", "long_description": "Docura Health reduces settlement time in workers’ compensation cases by automating medical record review, chronologies, and report drafting with AI. We transform thousands of pages of records into structured, compliant summaries, helping evaluators, claim adjusters, insurers, and legal teams resolve cases faster.", "one_liner": "AI-Native Med-Legal Firm", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1771815794, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare" ], "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/docura-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/docura-health.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/docura-health/", "x_url": "https://x.com/DocuraHealth", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcf719c51dea2161bc0d4cdea73a80b7a6c917f9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1402321, "full_name": "Akhil Sachdev", "title": "Founder/CEO", "founder_bio": "Founder @ Docura Health, we're building an AI-native med-legal firm to automate workers comp workflows for doctors", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akhil-sachdev", "x_url": "https://x.com/akhil_sachdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0f9f166e41e3ad6470e94b4a97206a226fb9266.jpg" } ], "jobs": [ { "id": 107904, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/docura-health/jobs/3lksgLk-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98093, "title": "Docura Health - AI-Native Med-Legal Firm to automate tedious workers’ comp workflows for doctors", "tagline": "Turn thousands of pages of medical records into draft-ready reports in minutes.", "body": "**Problem:**\n\nWhen a worker gets injured on the job, they see their primary doctor for treatment. The doctor treats them through a series of appointments until they reach maximum medical improvement - the point where no more treatment will improve their condition.\n\nIf the insurance company denies the claim, that's when the bottleneck kicks in. Both sides get attorneys, and they send all the medical records to a Qualified Medical Evaluator (QME) for an independent assessment.\n\nThe QME has to manually review these records. Some cases have thousands of pages, while others have tens of thousands. Even straightforward cases take 6-8 hours. Complex cases can take multiple days.\n\nThere are also agencies that take 40% of the revenue per case to do some of this administrative work for them.\n\nEither way, doctors are missing out. They're either losing significant revenue to agencies, or they're spending so much time on paperwork that they can't handle more cases.\n\n**Solution:**\n\nDocura Health automates the entire workflow:\n\nUpload medical record PDFs and case documents → we generate fully compliant record reviews and reports in 30 minutes\n\nAutomate patient history collection calls that admin staff normally handle before evaluations\n\nDoctors handle significantly more cases while keeping far more revenue per case.\n\n\\*\\*Demo Video:\\*\\*\\\n\n\n**Progress:**\n\nWe’re live with multiple healthcare practices and med-legal expert groups. Providers working with us have doubled their case volume from the last month and some even process over 50k pages per month.\n\n**Ask From YC:**\n\n* If anyone knows any qualified medical evaluators or independent medical evaluators that are orthopedic surgeons, pain medicine doctors, or internal medicine doctors, would appreciate warm intros.\n* If anyone knows any med-legal expert groups or lawyers on both the defense and the applicant side, would also appreciate intros.", "url": "https://www.ycombinator.com/launches/PW9-docura-health-ai-native-med-legal-firm-to-automate-tedious-workers-comp-workflows-for-doctors", "votes": 5, "created_at": "2026-02-23T20:05:25.851Z" } ] }, { "id": 31091, "name": "Mirabelle", "slug": "mirabelle", "former_names": [ "Sonarly" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7963bab6d5c6ef48744322024ee1f71a74fde623.png", "website": "https://meetmirabelle.com", "all_locations": "Paris, Île-de-France, France", "long_description": "We build the personal robot chef.\r\n\r\nMirabelle chops, cooks, and serves fresh meals on demand, so you can eat well every day without spending hours in the kitchen.", "one_liner": "Your own chef at home", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1765492562, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mirabelle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mirabelle.json", "year_founded": 2025, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/meetmirabelle", "x_url": "https://x.com/meetmirabelle", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7963bab6d5c6ef48744322024ee1f71a74fde623.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2722802, "full_name": "Dimittri Choudhury", "title": "Founder/CEO", "founder_bio": "Two years ago, I moved from a village in the South of France to Paris. I studied CS and economics. I started building my first startup with Alex and we scaled it to 100k+ users in 6 months. Funny cause it was the Duolingo for finding schools but it made us drop out.\n\nWe're building Mirabelle (YC W26), your robot chef, to give people back their health and time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dimittrichoudhury/", "x_url": "https://x.com/dimichoudhury", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/120583828756fe7e9719a559bf450e757b1a509b.jpg" }, { "user_id": 2721841, "full_name": "Alexandre Klobb", "title": "Founder/CTO", "founder_bio": "I started freelancing at 15 doing web scraping, then quickly became a full-stack developer and later an AI engineer training ML and deep learning models.\nI dropped out of computer science school to co-found Meoria, a career-guidance app that helped over 100,000 French students navigate Parcoursup.\n\nNow we're building Mirabelle (YC W26), your robot chef, to give people back their health and time.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandre-klobb-09bb40225?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "https://x.com/AKlobb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/429d6d1e48412d9f2b299cf6ad17cb766584e291.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31092, "name": "Axis", "slug": "axis-2", "former_names": [ "Sweep" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df40cb588620cffc3ef3422877d0ebdcddbe4434.png", "website": "https://axisanalysis.com", "all_locations": "New York City, NY, USA", "long_description": "Axis is building an AI Native Trading System, allowing a trader to deploy models that monitor and analyze relevant markets and strategies. We've chosen commodities as our first market.\r\nCommodities make up a third of global goods exports, and physical commodities traders decide the movement and storage of metals, agricultural products, and energy across the globe. They trade in public markets and bilateral OTC agreements. Engaging in these markets is complexing, covering derivatives positioning, refinery data, storage inventory, import/exports, geopolitical events and more. Axis is building an AI driven analytical layer for these markets.\r\n", "one_liner": "An AI Copilot for Trading Desks", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1769120993, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axis-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/axis-2.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axiscommodities", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/df40cb588620cffc3ef3422877d0ebdcddbe4434.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2295102, "full_name": "Eric Zhu", "title": "Founder", "founder_bio": "Math @ UChicago.\nPrevious Quantitative Trader", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eric-zhu-774a4918b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e9530356146de5ad2f5db39d296b2d52a3a87a3.jpg" }, { "user_id": 2981026, "full_name": "Ian Wang", "title": "Founder", "founder_bio": "Yale '25\nInterested in anything trading", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ian-wang-m1n1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaf889b136a3763838336a7a2bdaa0066394551b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98240, "title": "Axis: An AI System for Institutional Trading Desks", "tagline": "Deployable Models for Market Analysis", "body": "We’re launching Axis: An AI-Native Trading System. We’re starting with Commodities Markets.\\\n\\\n\\*\\*About Us:\\*\\*\\\nWe both worked in quantitative trading across multiple firms. We learned a lot. It’s showed us how varied “trading” can be and how markets are best approached.\\\n\\\n**About Axis:**\n\nWe started building Axis on the belief that models could be incredibly powerful when applied to traded markets. \n\nThis mainly came from our experience as traders. Trading is highly context driven, yet the majority of qualitative market information goes unparsed: real-world news, broker data, macro narratives, and more. This information is high-signal to a trader but unstructured. For the first time, LLMs provide an effective way of analyzing this information across multiple sources. \n\n**In Short:** _We believe models reveal what a trading system could be: not a data feed, but a tool that actively enhances a trader’s view of the market._\n\n**Our first market: Commodities**\n\nCommodities are real-world markets that make up the movement of energy, agricultural products, metals, chips, and more around the globe. They make up roughly a third of global goods exports. \n\nCommodities trading is a unique domain. Like equities, there are futures/options and other publicly traded derivatives that track commodities at the macro scale. This is where banks and hedge funds typically trade.\n\nHowever, there is an entire separate group of “physical” commodities traders who are responsible for moving commodities (oil, grain, copper) to locations around the globe. Their “trading” is the original form of “trade”: transporting materials to another location, taking on storage and transportation risk, receiving a premium for the service. Oil companies like Shell and Chevron have large commodities trading units responsible for trading/hedging their supply.\n\nThese traders still operate like normal trading desks, hedging and speculating in public markets, but they are also responsible for deciding storage and transportation. They track the markets at a granular and varied scale: transportation logistics, regional demand/inventory, derivatives positioning, macro narratives, and more. \n\n**_Engaging in these markets is complicated and it’s where we think our models shine. Axis allows a commodities desk to deploy custom models for monitoring their strategy 24/7._**\n\n\\\n\\\n\\\n", "url": "https://www.ycombinator.com/launches/PYW-axis-an-ai-system-for-institutional-trading-desks", "votes": 12, "created_at": "2026-02-27T13:12:35.649Z" } ] }, { "id": 31094, "name": "Lexius", "slug": "lexius", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f713f0f123c886d7ce59127e88d9c062f767183.png", "website": "https://www.lexius.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lexius turns existing security cameras into an AI security guard that detects, documents, and alerts incidents like shoplifting and slip-and-falls.\r\n\r\nMillions of locations already have cameras but no intelligence. Replacing them costs $50K to $100K per site. Lexius upgrades every camera instantly, no rip and replace, no new hardware.\r\n\r\nReal-world camera systems are messy, fragmented, and decades old, and AI breaks on low-quality CCTV. The hard part isn’t the model, it’s making unreliable systems work at scale with accuracy high enough for real decisions.\r\n\r\nLexius starts with security and liability, and becomes the operating system for physical spaces.", "one_liner": "AI for Corporate Security Cameras", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1766833804, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lexius", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/lexius.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lexiusss/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lexius", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f713f0f123c886d7ce59127e88d9c062f767183.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": 1856621, "full_name": "David Elskamp", "title": "Founder/CEO", "founder_bio": "2x founder, started a media company at 14, scaled it to six figures, ran it for 8 years while working with global brands.\n\nBA & MA in Computer Science, with a focus on computer vision, conducting AI research and building AI systems for real-world environments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidelskamp/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1c8e9333ef895b386c6513163ed7166c5b1e9f36.jpg" }, { "user_id": 1940897, "full_name": "Liam Webster", "title": "Founder/CTO", "founder_bio": "Lego Kid -> amateur moviemaker -> seeing machines\nEECS @ UC Berkeley, AI researcher @ the International Computer Science Institute (ML & Privacy).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/liamwebsterxyz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4779d65db0e20c7360c72d71468495bd4a90f2a9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98246, "title": "Lexius — 🚨 AI for any Security Camera", "tagline": "We make any old security camera intelligent", "body": "**Hi! 👋** We’re [David](https://www.linkedin.com/in/davidelskamp) and [Liam](https://www.linkedin.com/in/liamwebsterxyz) - co-founders of [Lexius](https://www.lexius.ai/).\n\n## TL;DR\n\nLexius turns existing security cameras into AI security guards that **detect theft, prevent liability, and turns months of video into searchable answers.** Trusted by 7-Eleven, Erewhon and Prada.\n\n**_Ask_:** Do you have/work with a lot of **security cameras** or know someone who does? Email [david@lexius.ai](mailto:david@lexius.ai).\n\n\n\n## **❌** The Problem\n\nBuildings with security cameras generate **thousands of hours of footage**, but:\n\n* No one has time to review it\n* Investigations take days of scrubbing video\n* Critical moments get missed\n* Legacy systems are hard to access and impossible to scale\n\n_Security cameras generate video. They don’t generate answers._\n\n## 🎥 Our Solution\n\nLexius runs on top of **any existing camera** system and gives them **superpowers**:\n\n* **Access**: Instantly view live or recorded footage from anywhere.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/08a8927c-63df-49c5-bb65-e9288028a1eb)\n\n* **AI Alerts**: Receive real time alerts for shoplifting, fall incidents or anything you’d like. Sent right to your phone.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/2c748d8f-91e3-422b-9d32-3570f8ad85dd)\n\n* **Search and Trace**: Instantly search across months of footage across all your sites and follow a person across multiple cameras and visits in seconds.\n\n![uploaded image](/media/?type=post&id=98246&key=user_uploads/1856621/60b9cf00-9014-4f54-9211-e8269edb89e3)\n\n* **Repeat Offenders:** Automatically identify, track, and alert on individuals who return across multiple visits, helping teams build stronger cases and prevent problems.\n* **Case Building**: Automatically stitch events together and generate clean, ready to use case files with evidence.\n\n_Setup takes minutes, not weeks._\n\n## Who It’s For\n\n**Warehouses / Manufacturing / Hotels / Offices / Campuses / Casinos / Law enforcement / Retail / Malls**\n\n_If you have cameras, Lexius can unlock more value from them._\n\n## Erewhon loves our product and uses it across their stores!\n\n\n\n[_www.lexius.ai_](https://www.lexius.ai/)", "url": "https://www.ycombinator.com/launches/PYc-lexius-ai-for-any-security-camera", "votes": 48, "created_at": "2026-02-27T07:29:04.860Z" } ] }, { "id": 31095, "name": "Asimov", "slug": "asimov", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.png", "website": "https://tryasimov.ai/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.", "one_liner": "Real-world human movement data for humanoid robots", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770974844, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asimov", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/asimov.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryasimov", "x_url": "https://x.com/tryasimov", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6d1f298b9c57b01b04001ed5fb4e04350cf49c3.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": 1388734, "full_name": "Lyem Ningthou", "title": "Founder", "founder_bio": "Defense tech robotics researcher → building the data layer for humanoid robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lyem-ningthou-5a09a4239", "x_url": "https://x.com/lyemningthou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca99e769565a3c37a267f014c6378c289ff5c2e0.jpg" } ], "jobs": [ { "id": 90230, "title": "Data Collection Specialist", "url": "https://www.ycombinator.com/companies/asimov/jobs/u0cjTqP-data-collection-specialist", "location": "Remote", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$20 - $30", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 90832, "title": "Strategic Operations Intern", "url": "https://www.ycombinator.com/companies/asimov/jobs/opG4UcT-strategic-operations-intern", "location": "Berkeley, CA, US / Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $50 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98597, "title": "Asimov 🤖: On demand human intelligence for robots", "tagline": "We help robotics companies collect human-in-the-home and human-at-work data at scale through a global network of contributors.", "body": "Hi YC! 👋\n\nWe're Anshul and Lyem, co-founders of Asimov. We're building the data infrastructure to enable the GPT-3 moment for humanoid robots.\n\n**TL;DR**\n\nLanguage models trained on trillions of words. Image models trained on billions of photos. Robots are starting from scratch. The bottleneck is diverse, real-world human movement data. We're building the infrastructure to collect and own it at scale.\n\n**🎥 Launch Video**\n\n\n\n**🚨 The Problem**\n\nHumanoid robots need to learn from human movement in diverse environments, but the data to teach them doesn't exist at scale. Existing datasets are narrow, captured largely in controlled factory settings, repeating the same tasks in the same environments. What's missing is diversity: thousands of different people, in thousands of different spaces, doing the full range of things humans actually do.\n\nThe market for robotics training data will dwarf what was spent on language model data, and right now nobody owns the supply chain.\n\n**🚀 Our Solution**\n\nAsimov empowers individuals worldwide to earn a living by recording what they already do: cooking, cleaning, working, living. That means data from thousands of different people, homes, and workplaces: the task and environment diversity that factory-only datasets simply can't replicate.\n\nWe've built the full stack to make it happen: proprietary hardware, annotation tooling, and a vertically integrated pipeline that makes our data higher quality and cheaper to produce than anything on the market. The largest robotics labs in the world are already our customers.\n\n**👨‍💻 The Team**\n\nAnshul brings deep data infrastructure expertise from Scale AI and Lyem built data pipelines for the United States Air Force. We’ve been building together since we were roommates in college, and previously co-founded a startup they grew to six figures in revenue.\n\n**🙏 Our Ask**\n\n1\\. **If you're a robotics company looking for data**, we'd love to talk. We're already supplying the largest players in the space and can deliver at scale starting today. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n2\\. **If you own a restaurant, warehouse, or any business**, anywhere in the world, and are interested in partnering, let us know. Many of our partners are able to entirely cover their workers' salaries by having them wear our collection kits while they work. Reach out at [founders@tryasimov.ai](mailto:founders@tryasimov.ai).\n\n3\\. **No matter where you live**, you can turn your daily routine into a living. Sign up at [tryasimov.ai](http://tryasimov.ai).", "url": "https://www.ycombinator.com/launches/PeH-asimov-on-demand-human-intelligence-for-robots", "votes": 11, "created_at": "2026-03-09T19:38:04.886Z" } ] }, { "id": 31096, "name": "shortkit", "slug": "shortkit", "former_names": [ "Embassi" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd6943aa08a6062cd8e0e6aba456f3d77558d5e3.png", "website": "https://www.shortkit.dev", "all_locations": "", "long_description": "ShortKit lets any consumer app launch a TikTok-grade media expereinces. \r\n\r\nMichael, spent 6 years at YouTube building the infrastructure that powers YouTube Shorts. Neil, prev. scaled a SaaS company from 0 to $6M ARR as employee #1. \r\n\r\nWe handle the full media stack, starting with short form video - client SDKs, video infrastructure, rec systems, and monetization - so product teams don't have to.", "one_liner": "Media infra for consumer apps", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1771985375, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shortkit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/shortkit.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/shortkit/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd6943aa08a6062cd8e0e6aba456f3d77558d5e3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b8abf8b07e5c5b5f722d6ee1878e72041216f8fc.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1590155, "full_name": "Neil Bhammar", "title": "Founder/CEO", "founder_bio": "Making it really easy to deploy and scale best-in-class video experiences. \n\nI previously built a transportation technology company from 0 through our Series B.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neilbhammar/", "x_url": "https://x.com/neilbhammar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22367adf021bb12107b2e6ad23f6a9aada9b6cc6.jpg" }, { "user_id": 2541340, "full_name": "Michael Seleman", "title": "Founder/CTO", "founder_bio": "Making enterprise short-form video systems simple. Prev. Spent 6 years building infrastructure that powers YouTube Shorts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-seleman-541509122/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9ae77035400a0d09b11ff261937c10fda232b5.jpg" } ], "jobs": [ { "id": 113204, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/shortkit/jobs/FdAm5KK-full-stack-engineer", "location": "Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.50% - 2.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Google Cloud", "Kotlin", "PostgreSQL", "Python", "React", "React Native", "Redis", "Swift", "TypeScript", "Flutter", "Next.js", "FastAPI" ] } ], "news": [], "launches": [ { "id": 98172, "title": "ShortKit – The SDK for Short Form Video Feeds", "tagline": "We help every app roll their own TikTok-quality video feed.", "body": "**tl;dr** ShortKit lets consumer teams and publishers ship best-in-class vertical video feeds _(playback, infra, monetization, rec systems, content networks, and more)_ without needing their own video eng orgs. [Michael Seleman](https://linkedin.com/in/michael-seleman-541509122) spent years at YouTube building the infrastructure behind Shorts. Now, we're packaging that for everyone else.\n\n**Short-form video is eating the world**\n\nVertical video is the most retentive format on the internet (with the highest ad spend), but it's captive on the three major platforms. The best publishers and consumer companies want to participate (see [Glassdoor](https://techcrunch.com/2024/10/09/glassdoor-takes-a-leaf-out-of-linkedins-book-launches-short-videos-polls-and-images/), [DoorDash](https://techcrunch.com/2025/09/30/doordash-rolls-out-creator-program-for-short-form-videos-adds-new-app-features-and-dine-in-rewards/), and [CNN](https://www.theverge.com/news/816638/cnn-app-shorts-feed-videos-launch)’s recent feed launches). Companies are desperate to own first-party data, engage their users more deeply, and drive ad revenue within their own experiences.\n\n**But it's still really hard at scale**\n\nTeams today either spend millions to ship quality short-form feeds, roll out poor-quality ones that fail to retain, or don't ship them at all because they don't know where to start. It's a massive missed opportunity for consumer companies, and an existential one for companies built on attention, like news-media.\n\n**So we're making it really easy**\n\nShortKit is a drop-in short-form video system. Product teams get:\n\n* **Managed SDKs** that deliver best-in-class short-form feeds. We've obsessed over the mechanics that make these competitive with the major platforms - ML driven buffer management, feed aware player mechanics, buttery-smooth tactiles, and much more.\n* **Video infrastructure** they never have to think about. Powering global video distribution that always works, optimized specifically for short-form content.\n* **Monetization** like native ads & first party data collection.\n* **Rec systems** with baseline configurations and ML-driven feed ranking algos.\n* **Admin tools** and APIs to manage feeds, integrate your CMS/database, and view analytics.\n\n**Our ask:**\n\nIf you know product or growth leaders at:\n\n* Media companies - NYT, ESPN, TMZ, Condé Nast, etc.\n* Consumer companies - TripAdvisor, Ticketmaster, Zillow, Yelp, etc.\n\nWe'd love to talk to them. You can reach out at [neil@shortkit.dev](mailto:neil@shortkit.dev) or book time with us at [shortkit.dev](http://shortkit.dev).\n\n", "url": "https://www.ycombinator.com/launches/PXQ-shortkit-the-sdk-for-short-form-video-feeds", "votes": 20, "created_at": "2026-02-26T08:03:51.086Z" } ] }, { "id": 31097, "name": "REV1", "slug": "rev1", "former_names": [ "Hefaisto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4441d91c221886a6f88c6d67b04646e2c34ade6c.png", "website": "https://rev1.so", "all_locations": "San Francisco, CA, USA", "long_description": "REV1 is Claude code for mechanical engineers, starting with automating the process of turning 3D designs into 2D manufacturing drawings – which is more than 25% of all of what a mechanical engineer does - our software does it in minutes. \r\nCompressing hours of work into minutes while delivering consistent, higher quality results.", "one_liner": "Claude Code for Mechanical Engineers", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1769993376, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rev1", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/rev1.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rev1-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4441d91c221886a6f88c6d67b04646e2c34ade6c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2150068, "full_name": "Alex Rivero", "title": "Founder/CEO", "founder_bio": "CEO of REV1 (W26) | Former Mechanical Engineer at Apple and Tesla\nBuilding AI for mechanical engineers, starting with engineering drawings", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-rivero-sabiote", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4218280153334648d35a8fae2973b3a44d9270c5.jpg" }, { "user_id": 1691893, "full_name": "Louis Liu", "title": "Founder/CTO", "founder_bio": "Building AI for mechanical engineers, starting with engineering drawings", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sp-louis-liu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d969ae55d7ddf1e5f2d708208c747423081caf3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97401, "title": "REV1 - Automating engineering drawings for Mechanical Engineers", "tagline": "It's time for Mechanical Engineers to automate their workflows", "body": "**TL;DR:** REV1 turns 3D CAD models into manufacturing-ready 2D drawings in minutes instead of hours.\n\n[**https://youtu.be/rlGxyHiPOW4**](https://youtu.be/rlGxyHiPOW4)\n\n**The Problem:**\n\nEvery manufactured part – whether it's for aerospace, robotics, medical devices, or consumer electronics – needs a 2D engineering drawing that defines the manufacturing specs to ensure the part functions as designed. Mechanical engineers spend **over 25% of their time** creating these drawings manually. It's tedious, error-prone, and unavoidable. It's also deeply technical – the standard that governs tolerancing is **over 300 pages of rules**.\n\nThe real cost isn't just time – it's innovation. Engineers should be designing the next iteration and solving hard problems, not manually specifying tolerances.\n\n**Our Solution:**\n\nREV1 automates drawing creation. Start with a 3D CAD file, specify your design intent, and we generate a fully annotated drawing with proper GD&T. Review and edit in our native interface before sending to manufacturers. All that while staying synced with your source files in your PLM system.\n\n**Communicate your design intent in 3D:**\n\n![uploaded image](/media/?type=post&id=97401&key=user_uploads/2150068/bd8b20b4-1f27-48fa-8c11-9d4c803c4a63)\n\n**Drawing generation in minutes instead of hours:**\n\n![uploaded image](/media/?type=post&id=97401&key=user_uploads/2150068/d425df48-2074-4e7e-a29f-8515dd864f62)\n\n**Who are we**\n\n* **Alex** – Mechanical engineer who shipped products at scale at Tesla and Apple (worked on Cybertruck, Robotaxi and iPhone 17 lineup). Lived this problem for years.\n* **Louis** – Software engineer; solo built Tesla's global Supercharger & Robotaxi planning platform. Studied mechanical engineering in school; published ML researcher\n\n**Who it's for**\n\nMechanical engineering teams at hardware companies – especially those designing parts that need detailed manufacturing specs. Think robotics, aerospace, automotive, medical devices, and consumer electronics.\n\n**Our ask**\n\n* Intros to mechanical engineering leads or hardware founders who feel this pain\n* If you're an ME, we'd love your feedback on the product\n* Spread the word to anyone building physical products", "url": "https://www.ycombinator.com/launches/PKz-rev1-automating-engineering-drawings-for-mechanical-engineers", "votes": 15, "created_at": "2026-02-02T17:24:31.586Z" } ] }, { "id": 31098, "name": "10x Science", "slug": "10x-science", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/80a81e39e735a3e350222fa5fd72596c97653b0a.png", "website": "https://10xscience.com", "all_locations": "San Francisco, CA, USA", "long_description": "10x Science develops frontier AI models with deep memory to redefine how scientists understand and engineer biology across the life sciences, starting with drug development.\r\n\r\nAI-powered drug discovery is flooding the pipeline with new candidates faster than ever. But before any of them can advance to the clinic, scientists must deeply characterize the protein therapeutic to understand whether it will work. Today, that process takes months of manual, error-prone analysis that cannot keep pace with discovery. Our AI-native platform automates it, giving drug developers the confidence to advance the right candidates and stop the wrong ones early.\r\n\r\nWe have strong commercial traction with enterprise pharma customers. Our founding team built the field of next-generation protein characterization out of Carolyn Bertozzi's Nobel laureate lab at Stanford. Collectively, we have 18+ years of collective domain expertise, 47+ scientific publications, and a 2x YC Founder. We move at the highest velocity and are positioned to lead the next generation of modern AI development in the life sciences. ", "one_liner": "The AI-native platform for next-generation protein characterization.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768312668, "tags": [ "SaaS", "B2B", "Biotech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/10x-science", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/10x-science.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/10xscience/", "x_url": "https://x.com/10x_Science", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/80a81e39e735a3e350222fa5fd72596c97653b0a.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": 3203252, "full_name": "David Roberts", "title": "Founder/CEO", "founder_bio": "Chemistry postdoc and Damon Runyon Cancer Research Fellow in Prof. Carolyn Bertozzi's lab (2022 Nobel Prize in Chemistry) at Stanford University. Next-generation scientific leader in chemical biology and glycobiology with 1600+ citations & h-index 23. Received my B.S. double major in chemistry & mathematics at UC San Diego (2016) and Ph.D. in materials chemistry & analytical chemistry at the University of Wisconsin-Madison (2023). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidstephenroberts/", "x_url": "https://x.com/DSRoberts007", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6458f5ddffbca7a68cf637083a86d14c9d13bfc.jpg" }, { "user_id": 3196415, "full_name": "Andrew Reiter", "title": "Founder/COO", "founder_bio": "Previously received my B.S. in Biology from UNC-Chapel Hill. I then joined Dr. Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where I developed new methods in mass spectrometry. I later became a Ph.D. student and NSF-GRFP fellow in the Department of Biology at Stanford University, where I was co-advised by Dr. Carolyn Bertozzi (2022 Nobel Laureate in Chemistry) and Dr. Or Gozani.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-r-593066136", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f816be19ae8b5bf8c4d4d46cbe3af248805457d8.jpg" }, { "user_id": 2801937, "full_name": "Vishnu Tejus", "title": "Founder/CTO", "founder_bio": "I am a 2x YC Founder. Previously, I built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Then, I forward deployed myself in research labs at the University of Washington, UCSF, and Stanford, where I was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, I published 2 papers and won 4 national awards. Now, I'm building ultrafast AI models for drug discovery teams to characterize proteins and pharmaceutical candidates.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vishnutejus", "x_url": "https://www.twitter.com/vrtejus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2de53d26f48f7a5e8acee1b465c8fe66b7946c60.jpg" } ], "jobs": [ { "id": 92464, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/10x-science/jobs/FK8wuOk-founding-engineer", "location": "San Francisco, CA, US / Menlo Park, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $240K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Go", "Rust", "Deep Learning", "Reinforcement learning (RL)", "Software Architecture" ] } ], "news": [ { "title": "AI is spitting out more potential drugs than ever. This startup wants to figure out which ones matter. | TechCrunch", "url": "https://techcrunch.com/2026/04/22/ai-is-spitting-out-more-potential-drugs-than-ever-this-start-up-wants-to-figure-out-which-ones-matter/", "date": "Apr 22, 2026" } ], "launches": [ { "id": 97760, "title": "10x Science: Unlocking the future of drug development 🔑🧬", "tagline": "The AI-native platform for next-generation protein characterization", "body": "Hi Everyone 👋:\n\nWe're [**David**](http://www.linkedin.com/in/davidstephenroberts), [**Andrew**](https://www.linkedin.com/in/andrew-hawthorn-reiter/), and [**Vishnu**](https://www.linkedin.com/in/vishnutejus/), co-founders of [**10x Science**](https://10xscience.com/). We’re a team of researchers from Stanford on a mission to make drug development 10x faster.\n\n**TL;DR:** We are building _the_ AI-native solution to unlock fast, accurate, and scalable therapeutics characterization to accelerate drug development.\n\n[10x Science Launch Video](https://www.youtube.com/watch?v=WaQSdNSc1KM)\n\n❌ **The** **Problem**\n\nProtein-based drugs now make up a majority of new therapies and advances in AI are flooding the drug discovery pipeline with more candidates than ever. But **the bottleneck isn't candidate design, it’s candidate characterization to identify the best drug for clinical trials**. \n\nEvery antibody, every cell therapy, every engineered protein requires characterization at a level of molecular detail that existing tools simply weren't designed to handle. Today, that process is: \n\n* **Slow**: Weeks to months per candidate spent on time-consuming data analysis and report generation that limit how fast new therapies can reach patients \n* **Expensive**: On average, it costs $1M+ for each day of delay in a clinical trial. Every day a biologic is delayed from entering the market is a missed opportunity to generate revenue and to save lives\n* **Not scalable**: Labs are throwing thousands of therapeutics through the discovery pipeline, but processing the data requires individuals to perform expert analysis leading to reproducibility challenges and a specialized, manual bottleneck\n\nThe result: candidates pile up, timelines slip, and the promise of AI-powered discovery gets stuck. \n\n💡**Our Solution**\n\n**10x Science** is the unlock **🔑**\n\nWhat if you could go from raw data to output-ready characterization reports in minutes? That’s what we’re building: **AI-native infrastructure for protein characterization**:\n\n* **Reduce analysis time from weeks to minutes**: our platform automates the data crunching that currently bottlenecks development → yielding $150,000+ time savings per team / month\n* **Get reproducible, enterprise-ready results** without requiring extensive expertise and slow manual curation. This frees scientists to focus on the important stuff: discovery, not number crunching\n* **Scale your pipeline**: process more candidates exponentially without linearly scaling your team\n\nNow, therapeutics development can keep pace with AI-powered drug discovery.\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/9b62279d-80f7-4f58-a80c-86665a72b6d7)\n\n**📜 Backstory**\n\nWe've lived this problem.\n\nAs Stanford researchers building frontier tools at the intersection of chemistry, biology, and machine learning, we constantly hit the protein characterization throughput wall. We and every other scientist we’ve spoken with all feel the same pain: protein characterization is slow, manual, and just hard to do at scale. Today’s scientists are drowning in data. A single sample can generate gigabytes of data, yet extracting insights from it is painstakingly slow without the right tools.\n\nIf we don’t modernize protein analysis, then drug development grinds to a halt. **This is why we started 10x Science**.\n\n🔬 **Our Team**\n\nWe are the only team in the world with deep expertise in proteomics, mass spectrometry, chemical biology, and artificial intelligence to tackle this problem. We’re researchers from Stanford with 18+ years of hands-on experience characterizing biologics and building new technologies and methodologies at the cutting edge. \n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/a384189a-2f27-4969-8d8f-156305c9ce8d)\n\nDavid (CEO, middle): Damon Runyon Cancer Research Foundation Fellow; Stanford Postdoc from Carolyn Bertozzi’s Lab (2022 Nobel Prize in Chemistry); early career leader in field of mass spectrometry-based proteomics with 37+ peer-reviewed publications\n\nAndrew (COO, right): Trained in Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where he developed new methods in mass spectrometry. Later became a Ph.D. student and NSF-GRFP fellow at Stanford University, where he was co-advised by Dr. Carolyn Bertozzi and Dr. Or Gozani.\n\nVishnu (CTO, left): 2x YC founder. Built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Forward deployed himself in research labs at the University of Washington, UCSF, and Stanford, where he was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, he published 2 papers and won 4 national awards. \n\n**We are uniquely positioned** with the technical expertise and insights required to solve this major challenge.\n\n 🌐 **The Big Picture**\n\nWe are automating the whole data analysis pipeline to enable scientists to focus on discovery: this is the \"why\" rather than the \"how\" of data processing. Every major therapeutic breakthrough of the last decade has depended on understanding proteins at the molecular level. And yet, the tools we use to analyze them haven't fundamentally changed in over twenty years. 10x Science is taking a totally new approach to usher in an AI-forward paradigm in protein characterization and drug development. \n\n 🙏 **Our Ask**\n\nWe're onboarding customers. If you answer \"yes\" to any of these, we'd love to chat:\n\n**Know a pharma/biotech team** working on biologics characterization?\n\n**Know an academic lab or core facility** doing protein analysis?\n\n**Know a contract research organization (CRO)** looking to scale analytical capabilities?\n\n**Resonate with our mission?** → Share this post!\n\n —_David_, _Andrew_, _Vishnu_ ([**10x Science**](https://10xscience.com/))\n\n![uploaded image](/media/?type=post&id=97760&key=user_uploads/3203252/4a578736-2de7-43de-b605-0152e507bf2b)\n\n", "url": "https://www.ycombinator.com/launches/PQm-10x-science-unlocking-the-future-of-drug-development", "votes": 19, "created_at": "2026-02-12T17:47:40.380Z" } ] }, { "id": 31100, "name": "Sentrial", "slug": "sentrial", "former_names": [ "Realm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/956fdffad84d5a7ebfd35aeb95f159f91959bc37.png", "website": "https://sentrial.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sentrial is the monitoring platform for AI products in production. \r\n\r\nWhen your AI product/agent loops indefinitely, hallucinates, or frustrates users, Sentrial detects it in real-time, diagnoses the root cause, and recommends specific fixes. We provide the monitoring, evaluation, and debugging infrastructure that traditional tools weren't built for, so teams iterate based on production reality, not just offline evals.", "one_liner": "Datadog for Agent Reliability", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1770083112, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sentrial", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sentrial.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sentrial", "x_url": "https://x.com/sentrial_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/956fdffad84d5a7ebfd35aeb95f159f91959bc37.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3199067, "full_name": "Neel Sharma", "title": "Founder/CEO", "founder_bio": "Neel is the founder of Sentrial - production monitoring for AI products. \n\nHe studied Computer Science at UC Berkeley and worked on agentic optimization at Sense. He saw firsthand that traditional evaluation frameworks break down once agents hit production. That insight led to the creation of Sentrial, a platform built to monitor, evaluate, and improve agent performance in real-world, production environments.\n\ncontact: neel@sentrial.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neelshar", "x_url": "https://x.com/theneelshar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4d63be3e103897f0f7fbbfe84c4319b58c18f8c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97540, "title": "Sentrial: Production Monitoring for AI Agent Behavior", "tagline": "Sentrial helps engineering teams detect, diagnose, and fix AI agent issues in production.", "body": "Hi all! [Neel](http://linkedin.com/in/neelshar) and [Anay](https://www.linkedin.com/in/anayrshukla/) here - we’re building **Sentrial**, production monitoring for AI agent behavior.\n\n**TL;DR:** [Sentrial](https://sentrial.com) semantically detects when agents loop, hallucinate, misuse tools, or frustrate users in production, then helps engineering teams diagnose the root cause and fix it fast.\n\n[Sentrial Launch Video](https://www.youtube.com/watch?v=fiRRBG9NIE4)\n\n## The problem\n\nAI agents are becoming core infrastructure - handling customer support, automating workflows, and making decisions on behalf of users. But when something goes wrong, teams are flying blind. Traditional monitoring catches errors and latency, not failures like hallucinations or user frustration. No alert fires when an agent goes off the rails, and agents that were meant to scale operations end up requiring constant oversight.\n\n## What Sentrial does\n\nSentrial gives engineering teams real-time visibility into how their agents actually behave in production. We automatically detect failure patterns: loops, hallucinations, tool misuse, and user frustrations the moment they happen. When issues surface, Sentrial diagnoses the root cause by analyzing conversation patterns, model outputs, and tool interactions, then recommends specific fixes.\n\n## Ask\n\nIf your internal or customer-facing agents are looping, hallucinating, or frustrating users in production and it’s hard to diagnose, we’d love to talk. Email [neel@sentrial.com](mailto:neel@sentrial.com) or book a call [here](https://cal.com/neel-sharma) to learn more!\n\n## Team\n\n**Neel:** CS @ UC Berkeley, worked on Agentic Optimization at Sense.\\\n**Anay:** CS @ UC Berkeley, deployed DevOps agents at Accenture.\n\n![uploaded image](/media/?type=post&id=97540&key=user_uploads/3199067/0481c129-5b98-4e2b-91bf-42b10678ffac)\n\n", "url": "https://www.ycombinator.com/launches/PNE-sentrial-production-monitoring-for-ai-agent-behavior", "votes": 27, "created_at": "2026-02-05T18:35:42.482Z" } ] }, { "id": 31101, "name": "LegalOS", "slug": "legalos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfdd01c1d2dde8d7cec7f0d61a5c75e8551e254d.png", "website": "https://www.legalos.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "LegalOS is an AI-native immigration law firm that combines cutting-edge technology with 40+ years of legal expertise.\r\n\r\nWe’ve studied 12,000 successful petitions to design our process - which allows us to deliver top-quality visa applications in as quickly as 48 hours. Our specialized AI agents draft petition narratives, compile evidence, and anticipate USCIS objections - work that traditionally takes attorneys weeks, if not months.\r\n\r\nEvery case is reviewed and signed by licensed immigration attorneys with 40+ years of experience, so companies get both speed and reliability. We support O-1, H-1B, L-1A, L-1B, TN, EB-1A, EB-1C, and EB-2 NIW petitions.\r\n\r\nOur unique approach works. We’ve filed dozens of visa applications and have a 100% approval rate so far.\r\n\r\nThe U.S. processes 1M+ work visas annually—a market where incumbents still operate on fax machines, email, and 1990s case management software. We're building the modern immigration law firm.", "one_liner": "The AI-Native Immigration Law Firm", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1765500266, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/legalos", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/legalos.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/legalosai/", "x_url": "https://x.com/legalosai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfdd01c1d2dde8d7cec7f0d61a5c75e8551e254d.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": 2312887, "full_name": "Matthew Asir", "title": "Founder/CEO", "founder_bio": "Matthew is the co-founder and CEO of LegalOS. He previously founded the immigration SaaS Legal Bullet (Forbes 30 Under 30), and studied Astrophysics at the University of Chicago. Like his sister Rachel (COO), he grew up working in his family’s U.S. immigration law firm and now leads product and AI at LegalOS, turning 40+ years of immigration case data into automated, high-approval work-visa petitions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-asir", "x_url": "https://x.com/assiirrrrrr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10dce064a86441bd5c6bbb4ad2496beae989454a.jpg" }, { "user_id": 2582582, "full_name": "Rachel Asir", "title": "Founder/COO", "founder_bio": "Rachel is the co-founder and COO of LegalOS. She double majored in Economics & Media Studies at the University of Chicago and previously managed 20+ A-list client deals at United Talent Agency, driving over $10M in tour revenue. She co-founded a charity that raised $70K for youth programs and grew up around her family’s U.S. immigration law firm. At LegalOS she owns operations and customer experience for companies and candidates using the platform.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rachelasir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce15f86879b65547d9967c8b3d95fd05688e59e0.jpg" }, { "user_id": 2782778, "full_name": "Claire Jutabha", "title": "Founder/CTO", "founder_bio": "Claire is the co-founder and CTO of LegalOS. At LegalOS she leads engineering and AI, building the agents that power automated work-visa petitions.\n\nShe has an MS and BS in Computer Science from USC. She previously shipped LLM safety pipelines at TikTok that flag thousands of high-risk accounts daily, built document-classification models at Notarize and worked at NASA JPL on the Mars Exploration team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clairejutabha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80a140e6aeb41092be08bdf387b3bc95b78f33e0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97014, "title": "LegalOS - AI-Native Immigration Law Firm", "tagline": "Get top-quality visa petitions in 48 hours, not months. We pair AI with 40 years of immigration expertise.", "body": "Hey everyone! 👋\n\nWe’re [Matthew](https://www.linkedin.com/in/matthew-asir), [Rachel](https://www.linkedin.com/in/rachelasir/), and [Claire](https://www.linkedin.com/in/clairejutabha/) – the founding team behind [LegalOS](https://legalos.ai?utm_source=yc&utm_medium=social&utm_campaign=launch&utm_content=yc_launch).\n\n### **TL;DR**\n\nWhat if your immigration case moved as fast as you do?\n\nWe're an AI-native immigration law firm that combines AI with 40+ years of legal expertise. We’ve studied 12,000 successful petitions to design our process - which allows us to deliver top-quality visa applications in as quickly as 48 hours. \n\nOur unique approach works. We’ve filed dozens of visa applications and have a 100% approval rate so far.\n\n**_Ask:_** If you are an international founder or a manager dealing with immigration? Email [help@legalos.ai](mailto:help@legalos.ai) or[ book a call with us](https://cal.com/rachelasir/legalos-consultation).\n\n\n\n### **❌ The Problem**\n\nImmigration law is broken - especially for startups\n\n1. **Slow** - Traditional law firms take 6–8 weeks just to prepare a petition - burning runway and blocking hires\n2. **Expensive** - Lawyers charge $10k-35k per visa, pricing out early-stage companies\n3. **Black Box** - Founders & managers often have zero visibility into case progress until it's too late\n4. **Unpredictable** - Inconsistent quality means RFEs, delays, and denials\n5. **High Stakes -** A single denial can force a founder to leave the country or lose a critical engineer\n\nStartups trying to make a critical hire simply can’t afford the cost, time, and uncertainty of traditional immigration firms.\n\n### **✨ Our Solution**\n\nLegalOS is a full service, AI-native immigration law firm. Our specialized AI agents that have been optimized on 12,000 winning petitions. _So far we have a 100% success rate._\n\n**What we handle:**\n\n* **O-1A/O-1B** (Extraordinary Ability)\n* **EB-1A** (Alien of Extraordinary Ability)\n* **EB-2 NIW** (National Interest Waiver)\n* **EB-1C** (Multinational Managers)\n* **H-1B, L-1A/B, TN** visas\n\n![uploaded image](/media/?type=post&id=97014&key=user_uploads/2312887/0509d08d-fb8a-47c7-84c5-eae38ffb980e)\n\n**How it works:**\n\n1. **Intake**: Upload your docs, answer a few questions, and we have get your petition started in minutes\n2. **AI-Powered Drafting**: Our agents build your petition using patterns from 12,000 successful cases\n3. **Attorney Review**: An immigration attorney with 40+ years of experience reviews every filing\n\n**Rapid Delivery**: You get a complete, filing-ready petition in as little as 48 hours - not weeks or months later\n\n### **👫 The Team**\n\nRachel (COO) and Matthew (CEO) grew up in their family’s 40-year immigration law firm. We've watched thousands of cases, seen what makes petitions win or fail, and built LegalOS on that foundation.\n\nClaire (CTO) brings the engineering talent – ex-TikTok, Notarize, and NASA JPL – and built the 24 specialized AI agents that power our platform.\n\n![uploaded image](/media/?type=post&id=97014&key=user_uploads/2312887/de9ef20d-b89c-4055-883c-f990382faa37)\n\n\n### 🙏 **Our Ask**\n\n* **Need a visa?** Book a free consultation[ here](https://cal.com/rachelasir/legalos-consultation)\n* **Know a founder dealing with immigration?** Forward this post or intro us\n* **Hiring internationally?** We can help your team—email [help@legalos.ai](mailto:help@legalos.ai)", "url": "https://www.ycombinator.com/launches/PEk-legalos-ai-native-immigration-law-firm", "votes": 19, "created_at": "2026-01-21T15:34:25.781Z" } ] }, { "id": 31104, "name": "Cofia", "slug": "cofia", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd8ddb84748f0bee7a74404c7075fd31e9681917.png", "website": "https://cofia.ai", "all_locations": "New York City, NY, USA", "long_description": "Cofia learns how your team runs internal operations and automates the highest-ROI workflows, automatically.", "one_liner": "AI automations that implement themselves", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1772226189, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cofia", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cofia.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cofia-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd8ddb84748f0bee7a74404c7075fd31e9681917.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2917976, "full_name": "Moses Wayne", "title": "Founder", "founder_bio": "Cofia co-founder. Previously Engineering Director at Duolingo, leading Monetization to >$1B in revenue annually. Studied Computer Science & Economics at Duke.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moses-wayne-860309128/", "x_url": "https://x.com/_moseswayne", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b878921f32952d46241366f0c254eb6ba1cda353.jpg" }, { "user_id": 2324002, "full_name": "Paola Martinez", "title": "Founder", "founder_bio": "Cofia co-founder. Formerly Senior Product Manager and led retention at Brilliant.org. Stanford CS undergrad and MS&E MS concurrently. 2019 Mayfield Fellows Program. Former Schmidt Futures Impact Fellow. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paomartcard/", "x_url": "https://x.com/paomartcard", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb93bba33f820e5e9b9bda2a27d85cc4f49bf712.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98440, "title": "Cofia: AI automations that write themselves", "tagline": "No more prompting or workflow builders.", "body": "**TLDR:** Cofia learns how you work and proactively automates your repetitive tasks. No more prompting or workflow builders.\n\n\n\n🧑🏻‍💻👩🏻‍💻 **Founders**\n\nWe're Pao and Moses. We've spent years in high-growth tech companies -- Pao running retention at Brilliant, Moses leading monetization at Duolingo.\n\n❌ **The problem**\n\nWe kept seeing the same pattern: smart people are still doing manual tasks.\n\nEveryone talks about AI saving time, but the reality? Most AI tools require you to:\n\n* Recognize the opportunities for automation\n* Describe your exact workflow in a prompt\n* Learn new interfaces and configure new tools\n\nSo despite having \"AI assistants,\" people are still spending hours on repetitive work that could be automated… if only custom AI tools could build themselves.\n\n✅ **The solution:**\n\nTraditional AI waits for you to describe what you need. Cofia proactively builds personalized automations, trained on _your_ exact workflows, by securely processing the work you actually do.\n\nNo prompts. No remembering to turn it on. No describing what you do.\n\nHow it works:\n\n* Cofia learns about the specific repetitive tasks you do\n* When it recognizes a pattern, it builds a custom agent and then offers it to you\n* You review, launch it, and never do that task manually again\n\nSample tasks we’ll detect:\n\n* Building prospect lists\n* Outreach, follow-ups, scheduling\n* Maintaining recruiting pipelines\n* Creating data reports\n\n❓**Is this magic?**\n\nWe hope it feels that way! Under the hood, we’re listening to system events and anonymized network traffic. This gets mined for repeatable patterns of activity, which serves as the framework for the automations we spin up. No need to screen record like traditional RPA task mining, and you can see what we’re processing at any time.\n\n🚀 **Ready to try it?**\n\nSign up at: ", "url": "https://www.ycombinator.com/launches/Pbk-cofia-ai-automations-that-write-themselves", "votes": 267, "created_at": "2026-03-05T00:39:49.876Z" } ] }, { "id": 31107, "name": "BaseFrame", "slug": "baseframe", "former_names": [ "BaseFrame", "Clam", "Clam (formerly Baseframe)", "Clam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5880da17687400c21750667dffa55d876a4dca48.png", "website": "https://baseframe.co", "all_locations": "San Francisco, CA, USA", "long_description": "Most teams want to plug in AI but don't know where to get started. BaseFrame's desktop app finds exactly what to automate for each employee using the historic data on their computer. \r\n\r\nInstead of relying on screen recording or generic AI demos, we use the existing history of how work gets done across email, docs, Slack, calendar, browser, and files to identify the highest-value automations. We use local models so that your sensitive data doesn’t have to leave your system. \r\n\r\nOnce you find a set of automations, send them off to your automation tool of choice and share them with your team so that everyone can get productivity boosts. \r\n", "one_liner": "Detect what AI can automate for your team", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768518655, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/baseframe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/baseframe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/baseframe", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5880da17687400c21750667dffa55d876a4dca48.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 588419, "full_name": "Anshul Paul", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of BaseFrame (W26). Previously founding at HappyRobot, where I worked on omni-channel AI communication, AI evals, and enterprise system integrations. Helped grow company to 100+ in size and Seed to Series B. Majored in EECS and Business at UC Berkeley M.E.T.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anshulpaul30/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b38fc5f991cc286b3ae776df90f6fea21aad6400.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97815, "title": "Clam: Semantic Firewall meets OpenClaw", "tagline": "Enterprise-grade security for broad-access AI Agents like OpenClaw", "body": "Hey everyone! We’re Anshul and Vaibhav from [Clam](https://tryclam.com/).\n\nIf you’ve heard about OpenClaw, you’ve also heard about the security risks and the data leaks that have already happened. Whether you’re an enterprise or an individual, you’re rightfully worried to give it access to all your accounts and data.\n\nWe’re putting our past experiences together to solve that.\n\n\n\n**A bit about us:**\n\nAnshul led AI evals and observability at HappyRobot (Series B YC company), and Vaibhav worked on scaling virtual agents at Augment Code (Series B AI code company). Fun fact, we were also partners during our Computer Security course at Berkeley a few years ago.\n\n**What we’re building:**\n\nClam brings enterprise-grade security through their “Semantic Firewall”, a security checkpoint that sits around the AI's environment at the network level.\n\nOur system runs a series of scans on anything your AI sends out into the world and everything that comes in to catch inconsistencies before they turn into problems.\n\nEach message is scanned for personal info leaks (SSNs, credit cards, private keys), prompt injection attempts (jailbreaks, instruction overrides), and malicious code (reverse shells, encoded execution).\n\nTo keep your data even safer, API keys and secrets are injected at the network level so the AI never sees or stores your credentials.\n\nDeploy and set up broad-access AI agents built on security with Clam.\n\n**Our Ask:**\n\n* We’d love to talk to folks who’ve already set up their OpenClaw or haven’t yet due to the security issues. [Please reach out!](https://cal.com/anshul-paul-7z6xyu/clam-chat)\n* Please check us out at [TryClam.com](https://tryclam.com/) to get onboarded with integrations smoothly. We’re continually improving the system so any feedback is super appreciated!", "url": "https://www.ycombinator.com/launches/PRf-clam-semantic-firewall-meets-openclaw", "votes": 84, "created_at": "2026-02-14T03:04:57.897Z" }, { "id": 96857, "title": "BaseFrame: Bring confidence and clarity to your hardware designs", "tagline": "AI agents that catch risks and tradeoffs early during hardware project scoping", "body": "**TL;DR:** BaseFrame helps hardware teams build more efficiently by identifying design gaps, data-driven tradeoffs, and component availability issues _before_ the first board is spun, catching fatal mistakes while they are still cheap to fix.\n\n\n\nHey All! We’re Anshul and Vaibhav from BaseFrame. \n\n**Why:**\n\nWe want to speed-up hardware teams so that they can build the cool innovations they are trying to bring to life with fewer bottlenecks\n\nThe current hardware workflow is a broken sequence of handoffs: you finalize a design and send it to procurement, only to discover weeks later that there was an oversight or a critical component has a massive lead time. \n\n### **How It Works**\n\n* **Project Scoping**: Specialized AI agents ask you questions to scope out the project and uncover gaps, drilling down with follow up questions if needed or handing off to the next agent when sufficient. It provides suggestions and recommendations for each question, making sure we have thought about everything early on. \n* **Validations:** Once the questions are answered, we consolidate them into a document and run parallel agents to once again find issues, contradictions, or areas of improvement. \n* **BOM Generation:** Our AI splits the scope into a block diagram and generates a Bill of Materials (BOM) for each by parsing diagrams and tables from datasheets, getting price and lead time data from top vendors, and internal vendor communications. \n* **Versioning & Parallel Agents:** You can branch designs and use parallel agents to simulate multiple architectures simultaneously, revealing quantitative tradeoffs in cost, price, and lead times\n\n**About us:**\n\nWe met during our first week of college and became roommates at Berkeley \n\nAnshul was the founding engineer at HappyRobot and worked on the core omni-channel AI communications features, AI observability and evals, and white glove integrations for enterprise customers.   \n\nVaibhav was a Sutter Hill Venture fellow. He worked on the data ingestion infrastructure at Sigma Computing and worked on remote agent orchestration and containerization for Augment Code.\n\n**We’d love to get in touch!**\n\nEmail: [team@baseframe.co](mailto:team@baseframe.co)\n\nWebsite: \n\n![uploaded image](/media/?type=post&id=96857&key=user_uploads/588419/c3f91612-45f8-4a25-a794-a160e9f80bb9)\n\n", "url": "https://www.ycombinator.com/launches/PCD-baseframe-bring-confidence-and-clarity-to-your-hardware-designs", "votes": 13, "created_at": "2026-01-16T19:26:41.079Z" } ] }, { "id": 31108, "name": "Strand AI", "slug": "strand-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3ab1b6b156ac5fcdb95c20ddc1b2ebfc47a69ae.png", "website": "https://strandai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.", "one_liner": "Multimodal foundation models to predict uncollected patient biology", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1769406494, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "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/strand-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/strand-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/strand-ai/", "x_url": "https://x.com/strandaibio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3ab1b6b156ac5fcdb95c20ddc1b2ebfc47a69ae.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e776762c9ced51e971d3ac1ad7301ad1b480ebc0.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1489450, "full_name": "Yue Dai", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO at Strand AI\nex-Pathos AI, Enable Medicine, Microsoft Research, Element AI.\nTrained foundation models for biology on the largest patient dataset in existence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yued/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbe4ba85fab9f7bec638430f58741bc9e837217f.jpg" }, { "user_id": 3118673, "full_name": "Oded Falik", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO at Strand AI\nEx-Enable Medicine\nBuilding foundation models to enrich biology data and improve patient outcomes.\n\nOded Falik, CTO, was the Tech Lead for Enable Medicine's spatial biology platform, scaling to 12B+ single-cell annotations and petabyte-scale pipelines. Programming since 8 years old, published first app on iOS app store at 11 years old.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oded-falik/", "x_url": "https://x.com/oded_falik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f84197edfe09c88045fa06ae54b4651a871e6a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98178, "title": "Strand AI - The Data Layer for Biology.", "tagline": "Strand AI builds foundation models to turn sparse clinical trial datasets into complete multimodal profiles.", "body": "We're Yue and Oded, the founders of Strand AI ([strandai.com](http://strandai.com)).\n\n## TL;DR\n\nStrand AI develops foundation models that generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA, at a fraction of the cost.\n\n![uploaded image](/media/?type=post&id=98178&key=user_uploads/1489450/997163fb-e9dc-478b-a083-a1d128fd25af)\n\n## The Problem\n\nEvery year, $60-100B is invested into clinical trials that do not result in approved therapies. 9 out of 10 drug trials fail. These drugs work by targeting specific biological pathways, but not every patient has the same pathways active. When a trial can't tell who has what, responders get diluted by non-responders, the effect washes out, and the trial fails. The key to selecting the right patients is multimodal data: genomics, RNA, proteins, imaging, clinical outcomes. But for any given patient, most of this data is missing. You might have their RNA expression but no pathology slides. Their genomics but not their clinical outcomes. The full picture is never there.\n\nYue saw this firsthand. Before starting Strand AI, he was building foundation models on the largest patient dataset in existence, working directly with the founders of Tempus AI. Whether predicting patient drug response, modeling disease progression, or finding new mechanisms of action, every task hit the same wall. Even with the largest dataset in existence, there simply wasn't enough to make good predictions.\n\nThe easy answer is \"collect more data.\" But multimodal patient data is expensive, invasive, and often impossible to get. Patients drop out of trials, skip evaluations, or are part of rare populations where the data simply doesn't exist.\n\n## Our Insight\n\nThe good news is that there's enough paired data across modalities that the missing biology can be intelligently and accurately predicted from what's already there. Strand AI builds cross-modal prediction models that take what you already have and predict what you don't.\n\nWe can efficiently evaluate which modalities we're able to predict accurately for a given dataset, so teams know exactly where we can fill gaps and when new measurements are needed. This lets pharma and biotech teams take their incomplete clinical cohorts and unlock precision that would otherwise be locked behind missing data.\n\n\n\n## What We've Built\n\nWe recently trained from the ground up a foundation model that predicts spatial proteomics from routine H&E staining. It beats state-of-the-art and we did it in under 6 weeks, at a fraction of the cost of comparable efforts. We were able to achieve this due to our deep, hands-on experience with both the data and the infrastructure. We’ll be deploying this model at scale for pharmaceutical and biotech companies to enrich their patient data.\n\n## About Us\n\nBefore Strand AI, we worked shoulder-to-shoulder at Enable Medicine, where we built the platform for petabyte-scale multimodal spatial biology data — single-cell resolution imaging, spatial transcriptomics, spatial proteomics, and clinical metadata — all linked at the patient level. We indexed, analyzed, and served the largest spatial biology datasets in existence. That work gave us an unusually deep understanding of what multimodal biological data actually looks like at scale — what's missing, what's noisy, and what it takes to make it useful.\n\nOded has been programming since he was 8. At Enable Medicine, he led product to build the spatial biology platform end-to-end.\n\nYue previously worked at Yoshua Bengio's Element AI, Microsoft Research, and Pathos, a Tempus AI initiative, where he built foundation models on the largest multimodal patient dataset in existence. He's built and managed ML infrastructure at scale, including clusters of thousands of GPUs.\n\nWe know how to train large models efficiently, and it shows in our costs and timelines.\n\n## Our Ask\n\nWe're looking for introductions to decision makers at pharma and biotech companies running clinical trials. If you know someone who wants to find better biomarkers, stratify patients more precisely, or catch signals they're currently missing, we can help. When a trial fails, it's not just years and capital lost, it's patients who were counting on that treatment. Better data means better patient selection, and drugs that reach the people who need them.\n\nreach us at [founders@strandai.com](mailto:founders@strandai.com)", "url": "https://www.ycombinator.com/launches/PXW-strand-ai-the-data-layer-for-biology", "votes": 604, "created_at": "2026-02-25T18:26:57.743Z" } ] }, { "id": 31109, "name": "Beacon Health", "slug": "beacon-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d74523afde78b3ac3597bb4170a5287e3f38c36.png", "website": "https://www.beaconhealth.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Beacon Health (YC W26) is building AI employees that double revenue for primary care practices while also reducing the total cost of care.\r\n\r\nPrimary care is the primary source of care for over 200M Americans, but physicians don’t have the bandwidth to manage their patient panels. \r\n\r\nBeacon Health builds AI employees that automate tedious background workflows - preventative screenings, prior authorizations, referrals, and risk adjustment. We handle these workflows from start to finish, directly in their EHR.\r\n\r\nWe’re on a mission is to bring joy back to primary care.", "one_liner": "AI Employees for Primary Care", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1770418074, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare" ], "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/beacon-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/beacon-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/beacon-health-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d74523afde78b3ac3597bb4170a5287e3f38c36.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 775761, "full_name": "Mark Pothen", "title": "Founder/CEO", "founder_bio": "Bringing joy back to primary care. Embedded in a primary care practice for 6 months owning their ops - now building AI employees to do the work I was doing. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mark-pothen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c44ebd27eb57fb0c8e4d408cc5068698038760af.jpg" }, { "user_id": 658344, "full_name": "Obinna Akahara", "title": "Founder/CTO", "founder_bio": "Bringing joy back to primary care | Physics @ UT Austin, LinkedIn, Conversion.ai", "is_active": true, "linkedin_url": "https://linkedin.com/in/obinnaakahara", "x_url": "https://x.com/ObinnaAka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29bd6ffc6b60de8b6888ca56f65539d5cb0f6d52.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97648, "title": "Beacon Health - AI Agents For Primary Care 🚀", "tagline": "Putting value based care on autopilot", "body": "Howdy howdy 👋\n\nWe’re Mark and Obinna, co-founders of Beacon Health.\n\n## **TL;DR**\n\nBeacon Health is on a mission to bring joy back to primary care. We build **AI agents that put their practice on autopilot** - starting with **value based care**.\n\nOur Al agents handle workflows like quality gap closures, risk adjustment, and patient outreach, **directly in the EHR**. We own these workflows from end to end\n\nWe just went live with an independent physician association supporting **40,000 patients**.\n\n**Ask:** We’re looking to connect with organizations operating under risk-based contracts - Independent Physician Associations, Accountable Care Organizations, Integrated Networks, and operators serious about value-based care (and direct-to-employer). 📩 [**mark@beaconhealth.ai**](mailto:mark@beaconhealth.ai)\n\n---\n\n## 👹 **The Problem**\n\nPrimary care is being pushed into value-based care without the [bandwidth](https://youtu.be/Qy3eV6o55oE) to support it.\n\nMost practices are juggling:\n\n* More than a dozen quality measures\n* Risk adjustment requirements\n* After-hours patient needs\n* Fragmented EHRs and disconnected vendor tools\n* everything else…\n\nThe result is predictable: Physician frustration and money left on the table in their value based contracts.\n\nValue-based care doesn’t fail because clinicians don’t care.\n\nIt fails because the economics and operations are broken.\n\n---\n\n## 🧩 **Our Solution**\n\nBeacon Health builds **AI agents for primary care**.\n\nOur Al agents handle workflows directly in the EHR. We own them from end to end - starting by putting their **value based care on autopilot**.\n\nToday, Beacon helps practices:\n\n* **Close quality gaps** by identifying patients who need action and executing outreach or teeing up a lab order automatically\n* **Capture risk adjustment codes accurately** by surfacing missed documentation and coding opportunities\n* **Support patients after hours** with triage and follow-up that doesn’t burn out staff\n\n ![uploaded image](/media/?type=post&id=97648&key=user_uploads/775761/d115767e-07ba-44c6-9011-434969e9949e)\n\n\nOur agents work behind scenes, learning to use the EHR like a human would.\n\nWe meet the physicians where they’re at. No new portals. No dashboards.\n\nJust infrastructure that makes value-based care actually work.\n\nWe string these workflows together, owning them from end to end.\n\n![MRI Prior Auth](https://files.chroniclehq.com/5bfd4923-cb85-4c87-b776-9bb2bcc73161-BeaconHealthDashboard4_ezgif.com_video_to_gif_converter.gif)\n\n---\n\n## **🙏 Our Ask**\n\nWe’d love to talk if you:\n\n* Work with anyone with a risk based arrangement: **Independent primary care practices, Independent Physician Association’s (also known as Physician Organizations), Accountable Care Organizations, or Integrated Networks**\n* Are a **physician or operator** struggling with the administrative burden of value based care.\n* Advise, invest in, or lead teams building the future of primary care\n\n👉 [mark@beaconhealth.ai](mailto:mark**@beaconhealth.ai)\n\nIntros mean everything at this stage.\n\n---\n\n## **👬 The Team**\n\n[Mark](https://www.linkedin.com/in/mark-pothen/) (CEO) grew up in his mom’s primary care practice. He spent the last 6 months embedded into a primary care practice, owning ops and augmenting them with AI. He previously worked on product and GTM @ several early stage healthcare startups.\n\n[Obinna](https://www.linkedin.com/in/obinnaakahara/) (CTO) has built production-grade AI systems across AI, healthcare and enterprise software. He studied Physics at UT and is a proud Nigerian 🇳🇬\n\nWe’re building Beacon Health to **bring joy back to primary care.**\n\n![uploaded image](/media/?type=post&id=97648&key=user_uploads/775761/87943253-2d66-4bd4-8b3a-967b4ab6f5ed)\n\n(In the practice with our first customer and CMO Karthik)", "url": "https://www.ycombinator.com/launches/POy-beacon-health-ai-agents-for-primary-care", "votes": 24, "created_at": "2026-02-09T17:44:25.698Z" } ] }, { "id": 31111, "name": "Envariant", "slug": "envariant", "former_names": [ "Facture" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/abf1430afe9764675d165ce0908d003bf6893b19.png", "website": "https://envariant.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Envariant is an AI interpretability and reasoning SDK enabling foundation model builders to analyze, steer, and control their model's behaviors.", "one_liner": "Interpretability and reasoning infra for foundation models.", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772291164, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Foundation models have proven powerful but volatile: they hallucinate, drift, and produce brittle outputs that block scientific and engineering workflows. The standard fixes are expensive, slow, and often destabilizing. They don't scale to the settings that matter most: multi-property, multi-scale tasks like generating new materials or optimizing genetic medicines, where verification itself is difficult, ambiguous, or costly. Teams end up trapped in \"guess and check\" loops — iterating on data and retraining instead of reasoning directly about model behavior. Persistent failure modes go undetected and creative opportunities inside models go unexploited." } ], "url": "https://www.ycombinator.com/companies/envariant", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/envariant.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/envariant/", "x_url": "https://x.com/envariant", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/abf1430afe9764675d165ce0908d003bf6893b19.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 972303, "full_name": "Varun Agarwal", "title": "Founder/CEO", "founder_bio": "Working on interpretability infrastructure for foundation models! My background is in AI and bioengineering research at places like Stanford, MIT, Inceptive, and NASA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varun-agarwal1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d4751c30b1662b34b948a5959ff3e27b59bad29.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98301, "title": "Envariant – The control layer for foundation models", "tagline": "AI interpretability SDK to analyze, steer, and control model behavior", "body": "**The Problem**\\\nFoundation models are powerful but volatile. They hallucinate, drift, and produce brittle outputs that block scientific and engineering workflows.\\\n\\\nThe standard fixes are expensive, slow, and often destabilizing. They don't scale to the settings that matter most: multi-property, multi-scale tasks like generating new materials or optimizing genetic medicines, where verification itself is difficult, ambiguous, or costly.\\\n\\\nTeams end up trapped in \"guess and check\" loops — iterating on data and retraining instead of reasoning directly about model behavior. Persistent failure modes go undetected, and creative opportunities inside models go unexploited.\\\n\\\n**What Envariant Does**\\\nEnvariant moves verification upstream — from the lab directly into the model's latent space. Our SDK exposes a compact set of primitives so you can specify a property and then reliably observe and control it:\n\n* **Detect**, measure, & causally trace properties and behaviors (hallucinations, safety, style, invariants)\n* **Reason** inductively, generalize, and steer behavior programmatically\n* **Extract** human-readable domain principles the model has learned\n* **Synthesize** targeted edge cases to rapidly improve capabilities\n\nNo bespoke engineering, heavy orchestration, or massive dataset requirements.\\\n\\\n**Results**\n\n![uploaded image](/media/?type=post&id=98301&key=user_uploads/972303/286868f9-7ff7-43de-95f6-ac0c3675e02e)\n\nWe started with failure mode detection: using one underlying primitive, we’ve reached SOTA performance in hallucination detection in text LLMs, real-time degradation detection in robotic VLAs, and antibody-binding prediction. We’re releasing a [beta of this for testing](https://huggingface.co/spaces/var764/envrnt-failure-detection) on March 3rd!\n\n**What’s Next**\n\nWe’ll be scaling up our failure mode detection, expanding this to general property detection and measurement, and releasing experiments & SOTA results across inductive reasoning, steering, and principle extraction this week. Long term, we want to remove the bottlenecks to progress by turning mechanistic understanding into actionable capabilities — enabling teams to reliably control behavior and accelerate discovery.\n\n**Our Ask**\\\nWe'd love intros to:\n\n**ML teams in deep tech and safety-critical verticals** — bio, materials science, physics simulation, robotics, autonomous systems, formal reasoning.\n\n**Teams building foundational AI** or sovereign/private-model deployments.\n\nReach out at [**founders@envariant.ai**](mailto:founders@envariant.ai) or visit [**envariant.ai**](http://envariant.ai). ", "url": "https://www.ycombinator.com/launches/PZV-envariant-the-control-layer-for-foundation-models", "votes": 18, "created_at": "2026-03-01T02:08:21.563Z" } ] }, { "id": 31112, "name": "Burt", "slug": "burt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a11400ce1b300bf129e9c9b8227340f5de10efd.png", "website": "https://www.burthq.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We're building for the people that keep the world moving. \r\n\r\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\r\n\r\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.", "one_liner": "AI teammates for logistics", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1766971540, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/burt", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/burt.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/train-burt", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6a11400ce1b300bf129e9c9b8227340f5de10efd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1212113, "full_name": "Bobby Zhong", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Burt\n\nStudied CS at UCI before dropping to join Pirros (YC W23) as their 2nd engineer. Then joined Replo (YC S21) to build coding agents and wrangle LLMs.\n\nGrew up in a logistics family and now trying to help in the space.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bobby-zhong", "x_url": "https://x.com/bobbyzhong333", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5444a7b9e9b1785517fc66d0591b1f1397e3f0a9.jpg" }, { "user_id": 1342955, "full_name": "Kurt Sharma", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Burt\n\nStudied EECS at UC Berkeley. Previously @ Replo (YC S21) building high-throughput data pipelines and sandboxed code manipulation systems.\n\nNow building AI teammates in logistics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kartavya-sharma", "x_url": "https://x.com/zerodaykurt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d595d5de2c6336d499109dbc763e04aa1d1a7c3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98462, "title": "Burt - AI Teammates for Logistics", "tagline": "Agents that handle the manual, repetitive workflows for logistics teams end-to-end", "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n[https://www.youtube.com/watch?v=Jj7XKdMwE1Q ](https://youtu.be/Jj7XKdMwE1Q)\n\n## **TL;DR**\n\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.\n\nWhether it’s tracking loads or chasing and processing documents, teams can build AI coworkers that follow their specific processes and work on top of their existing systems.\n\n## **The Problem**\n\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\n\nProblems like\n\n* **Shipment tracking and check calls**\n* **Document processing and data entry**\n* **Chasing PODs and rate cons**\n* **Finding and booking carriers**\n* **Invoice auditing and billing reconciliation**\n* **Quoting and building loads**\n\nAs volume grows, so does the headcount required to manage it. Teams burn out, service suffers, and growth stalls.\n\n## **Our Solution**\n\nWe help freight brokers and forwarders build AI teammates that handle their most repetitive workflows end-to-end — check calls, document processing, covering loads, invoicing, and more — pulling in the right person only when they're actually needed.\n\nOur AI teammates work the way a human operator would: reading emails, making calls, logging into portals, and updating their TMS — following their specific processes and living on top of their existing systems\n\nTeams can take on more business without burning people out, cut down on costly mistakes, and get their best operators back on the relationships that actually drive growth.\n\n![uploaded image](/media/?type=post&id=98462&key=user_uploads/1212113/fc18a40d-718d-4b27-960f-f7ec2e97623e)\n\n## **About Us**\n\nWe both grew up in logistics families so we know how hard the people in the industry have to work and we genuinely want to be able to make an impact on the space. Bobby spent weekends at his dad's 3PL warehouse and Kurt grew up watching his uncle sell on Amazon FBA — where half the stress was always coordinating shipments and chasing freight.\n\nWe know how hard freight is and there’s no one else we’d rather build for than the people in it.\n\n## **Our Ask**\n\nWe’d really appreciate any intros to anyone in the logistics space. Primarily freight brokers, forwarders, and carriers but we’re relatively new to the space so talking to anyone in the industry would be helpful!\n\nFeel free to reach out to us at [bobby@trainburt.com](mailto:bobby@trainburt.com) or find a time to chat [here](https://cal.com/bobby-zhong/30min)", "url": "https://www.ycombinator.com/launches/Pc6-burt-ai-teammates-for-logistics", "votes": 12, "created_at": "2026-03-04T22:42:49.123Z" }, { "id": 97329, "title": "Burt - Train and Deploy Specialized Models", "tagline": "Build models that outperform general, closed source alternatives at a fraction of the cost and latency", "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n## TL;DR\n\nWe help teams train and deploy specialized models that outperform general, closed source alternatives while being **10x faster and cheaper**. \n\nIf you’re building AI agents and you have LLM calls that are either too slow, too expensive, or just not good enough, let’s talk!\n\n\n\n## The Problem\n\nAs good as general, closed source models are, they just aren’t built for your use case. \n\n* The fastest models are unreliable or still not fast enough\n* Your API costs are spiraling out of control \n* Your agent’s just not producing high quality or reliable enough outputs. \n* You have no control over a core piece of your product, leaving you with random regressions, service disruptions, and annoying rate limits\n\n## Our Solution\n\nWe help teams train and deploy custom models built specifically for their domain and use case. \n\nWe help with every step of the process, from data prep and evals to training and deployment. \n\nUsing the latest post-training and inference stack we’ve built in house, we deliver models that outperform SOTA while being a fraction of the cost and latency.\n\n## Case Study\n\nFor one of our customers (more details coming soon!), they had a model call that saw extremely high volume and had issues with it being too slow **even with gemini-3-flash.** \n\nTo solve that, we built a small vision language model (VLM) that’s **\\~3x faster** (p50) while being **MORE accurate** than gemini-3-flash/pro.\n\nNow we’re continuing to improve that model and closing that last 10%\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/030f2ca2-2274-45e8-84b2-7a88b0779104)\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/1a7e0a22-91e5-4116-977e-edcaf27470a4)\n\n## Ready to Specialize?\n\nIf you’re building AI agents and either of the following apply, we’d love to help:\n\n* You have **high volume, repetitive LLM calls** that you want to significantly reduce cost and latency for\n* The agents you’re building just aren’t achieving the quality or reliability you need\n\nBook a chat [here](https://cal.com/bobby-zhong/30min) or email us at [bobby@trainburt.com](mailto:bobby@trainburt.com)", "url": "https://www.ycombinator.com/launches/PJp-burt-train-and-deploy-specialized-models", "votes": 17, "created_at": "2026-02-02T02:11:07.791Z" } ] }, { "id": 31113, "name": "CellType", "slug": "celltype", "former_names": [ "Contextual Bio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7626449e8e50e3bcef406586024dca5da4b7918b.png", "website": "https://www.celltype.com", "all_locations": "New York City, NY, USA", "long_description": "CellType is building an agentic drug company. AI agents that run the full drug discovery pipeline on top of biological foundation models that simulate human biology. Our core technology, developed with Google DeepMind, has already discovered and validated a new cancer treatment signal. We’re working with Top 10 pharma.", "one_liner": "The agentic drug company. We simulate human biology.", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1771295425, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "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/celltype", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/celltype.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/celltype/", "x_url": "https://x.com/celltypeinc", "fb_url": null, "cb_url": null, "github_url": "github.com/celltype", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7626449e8e50e3bcef406586024dca5da4b7918b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2244977, "full_name": "David van Dijk", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of CellType (W26). Yale Professor, 11,000+ citations. Built biological foundation models with Google. Building the agentic drug company.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-van-dijk-b440286/", "x_url": "https://x.com/david_van_dijk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4aed0d9f833eb48d703f8cab3ca84261242287d9.jpg" } ], "jobs": [ { "id": 108489, "title": "Founding Research Scientist, Biological Foundation Models", "url": "https://www.ycombinator.com/companies/celltype/jobs/ynLk0Xr-founding-research-scientist-biological-foundation-models", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Computer Vision", "Bioinformatics", "Genomics", "Transformers", "Multimodal AI" ] } ], "news": [ { "title": "Sundar Pichai announces Google's AI milestone in cancer cure", "url": "https://etedge-insights.com/technology/artificial-intelligence/sundar-pichai-announces-google-deepmind-yale-breakthrough-in-cancer-therapy-using-ai/", "date": "Oct 16, 2025" }, { "title": "Google CEO Sundar Pichai Says C2S-Scale 27B Foundation Model Generated 'Novel Hypothesis About Cancer Cellular Behavior'", "url": "https://www.etvbharat.com/en/technology/sundar-pichai-enn25101506952", "date": "Oct 15, 2025" }, { "title": "Google’s Gemma AI model helps discover new potential cancer therapy pathway", "url": "https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/", "date": "Oct 15, 2025" }, { "title": "Google’s AI Cracks a New Cancer Code", "url": "https://www.yahoo.com/news/articles/google-ai-cracks-cancer-code-203652400.html?guccounter=1", "date": "Oct 14, 2025" } ], "launches": [ { "id": 97885, "title": "CellType: The Agentic Drug Company", "tagline": "What takes big pharma years, we aim to do in weeks.", "body": "We're David and Ivan — we built this technology at Yale and are now turning it into a company.\n\nAI is fundamentally changing how software gets built. Drug discovery is next.\n\n# TL;DR\n\nWe're building an agentic drug company: **foundation models that learn human biology + AI agents that run the full discovery pipeline**. Instead of mice and cell lines, we simulate what will happen in patients — before you run the trial.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/d81c7718-831b-4ed3-8b76-c1f050d31193)\n\nOur core technology, Cell2Sentence ([ICML 2024 paper](https://proceedings.mlr.press/v235/levine24a.html) · [C2S-Scale paper](https://www.biorxiv.org/content/10.1101/2025.04.14.648850v4)), was [featured by Google](https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/) and shared by **Google CEO Sundar Pichai** (7M+ views). It teaches LLMs to understand cellular biology, and we've already used it to **discover and validate a new cancer treatment signal**.\n\n![uploaded image](/media/?type=post&id=97885&key=user_uploads/1493577/0b848ed1-640a-4601-bd61-54ab7d22f4f1)\n\n# The Problem\n\n90% of drugs fail in clinical trials. Most of that failure traces back to one thing: our preclinical models don't match humans. Mice and cell lines don't represent what actually happens in patients, so teams spend years and billions optimizing against the wrong reality.\n\nAnd the process itself is broken: massive teams, manual workflows, siloed data, and painfully slow iteration. A typical drug takes 10+ years and $2B+ to develop. Most fail anyway.\n\n[https://www.youtube.com/watch?v=MBlSLzVBnH8](https://img.youtube.com/vi/MBlSLzVBnH8/0.jpg\\)%5C%5D\\(https://www.youtube.com/watch?v=MBlSLzVBnH8\\))\n\n# Our Approach: AI Agents + A Virtual Human\n\nWe're building a new type of drug company from scratch around AI.\n\n**The vision: AI agents do the work, humans steer the science.** Today, drug R&D means hundreds of scientists manually digging through literature, analyzing data, generating hypotheses, designing experiments, and coordinating with contract labs. We're replacing that with autonomous agents that execute end-to-end.\n\n**The technology:** we taught LLMs to understand biology. Our core insight is that biology has structure, like language — gene expression profiles are sentences, cellular states encode meaning, drug responses are transformations. We built Cell2Sentence to convert single-cell biology into a form that foundation models can learn from. Unlike protein-centric approaches (AlphaFold, Boltz, ESM), we model the whole biological system — cells, tissues, microenvironments, and drug-cell interactions. **Proteins are parts; we model the machine.**\n\n**The product:** a virtual human — a computational model of human biology you can test drugs on before touching a real patient. At every stage of development, you can ask \"what will happen in humans?\" and get an answer grounded in real human data, not proxies. Target discovery, toxicity prediction, translational prediction, patient stratification, virtual trials.\n\nOur work is published at ICML 2024.\n\n# Validation: We Discovered a New Cancer Treatment Signal\n\nWe didn't just build a model, we used it to find something real.\n\nWe screened 4,000+ drugs and predicted a novel hit: a drug that could help turn \"cold\" tumors \"hot\" (more visible to the immune system) — something that wasn't previously known. We then validated it in the lab — both in cell lines and in intact human tumor microenvironments that mirror what happens in patients. **The prediction held up.**\n\nThis is the kind of result that takes traditional R&D teams years.\n\n# Traction\n\nWe're **already working with Top 10 pharma** — and every deal has been **100% inbound**. They saw the work and reached out to us.\n\n# Our Team\n\nWe're two founders with deep expertise in biology + AI who invented the underlying technology together at Yale.\n\n**David van Dijk, PhD:** Yale Professor, 11,000+ citations, published in Cell, Nature, ICML, and NeurIPS, turned down Google to build CellType.\\\n**Ivan Vrkic:** co-built the core tech at Yale (published at ICML), built software to control CERN's Large Hadron Collider, and led large-scale foundation model training at a biotech company.\n\n# Our Ask\n\nIf you're a pharma or biotech team that wants to de-risk discovery and development — especially around translational and clinical prediction — we'd love to talk. We're also looking for data partners and exceptional bio and ML builders who want to help build an agentic drug company from scratch.\n\n[david@celltype.com](mailto:david@celltype.com)", "url": "https://www.ycombinator.com/launches/PSn-celltype-the-agentic-drug-company", "votes": 25, "created_at": "2026-02-17T13:24:49.230Z" } ] }, { "id": 31114, "name": "Piris Labs", "slug": "pirislabs", "former_names": [ "Piris Inc.", "Pirislabs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfbd3640d376f89f668901f7449636b7f882fdb6.png", "website": "https://pirislabs.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Up to 80% of the most advance AI compute chips sits idle because of slow networking. Piris Labs builds photonic based networking solutions to enable fast, scalable, and low cost AI workload execution infrastructure.", "one_liner": "The Networking Layer of AI", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770857008, "tags": [ "Hard Tech", "Hardware", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pirislabs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pirislabs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/110912035", "x_url": "https://x.com/PirisLabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/piris-labs", "github_url": "https://github.com/PirisLabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cfbd3640d376f89f668901f7449636b7f882fdb6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2792621, "full_name": "Ali Khalatpour", "title": "Founder/CEO", "founder_bio": "Founder (YC W26), reimagining AI compute architectures | PhD EE (MIT → NASA → Stanford)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alikhalatpour", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42b5a5f623f8120937aa26e3d674989a58a1f3f4.jpg" }, { "user_id": 3157622, "full_name": "Keyvan Moghadam", "title": "Founder/President", "founder_bio": "I am an AI technologist with a decade of experience scaling AI/ML products. At Meta and X, I specialized in leading tiger teams to launch high-stakes 0-to-1 initiatives.\n\nNow, I am the Co-Founder of Piris Labs. We are building high-speed photonic interconnects to solve the energy and latency constraints for AI data inference. My current focus is to iterate on our inference service and onboard customers into our platform.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/keyvanrm/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b998bdac71f94c01737efbb8c8777cfb76a14d3a.jpg" } ], "jobs": [ { "id": 93808, "title": "Founding Engineer -- AI Inference Stack ", "url": "https://www.ycombinator.com/companies/pirislabs/jobs/r6mskwZ-founding-engineer-ai-inference-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Rust", "TCP/IP", "Design systems", "Transformers" ] } ], "news": [], "launches": [ { "id": 104954, "title": "Piris Labs: We Set the Fastest Reported GLM-5.2 Inference Speed", "tagline": "Fast, scalable AI workload execution infrastructure.", "body": "Piris Labs just achieved the fastest reported inference speed for the new GLM-5.2, outperforming pioneers and veterans in the space.\n\nWe finished the YC batch just a few months ago and believed it was important to maintain that same pace of execution while keeping our technical bar high. So yes, the YC advice is right: keep building.\n\nA lean, highly passionate team with strong execution and the right long-term vision can accomplish in a short period of time what often takes much larger organizations with billions in funding and hundreds of people years to achieve.\n\nWe're well on track to build fast, scalable, and low-cost AI workload execution infrastructure with a deep focus on the data movement layer, where many of the biggest bottlenecks in performance and unit economics exist.\n\nRead the full details here:\n\n\n\nWe welcome independent third-party benchmarking. Feel free to DM us or reach out by email.\n\n#AIInference #MachineLearning #GLM52 #GenAI #AIInfrastructure #TechInnovation\n\n![uploaded image](/media/?type=post&id=104954&key=user_uploads/2792621/98b898a8-99fa-482a-ab7a-d65badc2b3e4)\n\n", "url": "https://www.ycombinator.com/launches/RIo-piris-labs-we-set-the-fastest-reported-glm-5-2-inference-speed", "votes": 5, "created_at": "2026-07-07T22:22:52.996Z" }, { "id": 97751, "title": "Piris Labs: Inference at Light Speed", "tagline": "We deliver low-latency, low-cost AI inference by eliminating the memory wall using full-stack optical interconnects and a purpose-built software stack.", "body": "**The Problem: The Memory Wall Is Breaking the Economics of AI Compute**\n\nAI’s promise is unprecedented, but its economics are broken. Copper-based interconnects cannot keep up with modern models, limiting data movement between and within compute and memory. The result is high latency, inefficient hardware utilization, and unsustainable inference costs—creating a hard ceiling on AI margins.\n\n---\n\n**The Solution: Grow-Style Optimization for the Interconnect**\n\nToday’s data-center compute and networking were not designed for inference. Slow, power-hungry **copper** interconnects, along with costly signal processing and memory overhead, drive high latency and high cost.\n\nHigh-performance inference requires purpose-built hardware and a vertically optimized software stack. Piris Labs builds this optimized stack by combining proprietary **optical** interconnects with software designed to maximize hardware utilization. We vertically optimize the interconnect layer—just as the compute layer was vertically optimized by **Groq** (acquired by **NVIDIA** for $20 B).\n\nPiris Labs combines proprietary optical interconnects with a purpose-built software stack designed to maximize hardware utilization, delivering **5x** lower latency, **10x** lower power per bit, and **2x** lower cost per token\\\n\\\n**Our Launch Video**\\\n\n\n**The Team**\n\nWe are a team of specialists at the intersection of hardware and AI:\n\n* Ali Khalatpour: MIT-trained engineer and Harvard–Stanford–trained optical scientist; developed the first room-temperature terahertz semiconductor laser; led the development of GUSTO’s optical engine for NASA\n* Keyvan Rezaei Moghadam: AI scientist and engineering leader with experience building 0-to-1 AI infrastructure at Meta and Twitter.\n\n### **Our Ask**\n\n**AI Products**: If you want to scale your inference workloads while slashing costs, reach out to us at [**contact@pirislabs.io**](mailto:contact@pirislabs.io).\\\n\\\n**Chip Makers & ODM Partners**: We are also looking for a couple of additional partners who get the chance of trying our optical solution first hand. Shoot us an email at [**founders@pirislabs.io**](mailto:founders@pirislabs.io).", "url": "https://www.ycombinator.com/launches/PQd-piris-labs-inference-at-light-speed", "votes": 21, "created_at": "2026-02-12T17:58:23.293Z" } ] }, { "id": 31116, "name": "OpenSpec", "slug": "openspec", "former_names": [ "FISSION", "OpenSpec", "openspec" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c411bb6889813a0a977496d80f091ebb000aac.png", "website": "http://openspec.dev", "all_locations": "Sydney, NSW, Australia", "long_description": "OpenSpec is an open-source, spec-driven framework. We help developers plan complex features by creating lightweight spec documents that serve as durable context for their coding agents.\r\n\r\nWith 20k+ GitHub stars, we’re one of the leading spec-driven frameworks, used by thousands of developers and teams to plan and ship with the coding agent of their choice.\r\n\r\nOur philosophy is simple: keep planning lightweight and iterative, and match how software actually gets built, messy, evolving, and real, without dragging teams into rigid, bureaucratic workflows.", "one_liner": "Plan mode for complex features", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772742267, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openspec", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/openspec.json", "year_founded": 2025, "city": "Sydney", "country": "AU", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c411bb6889813a0a977496d80f091ebb000aac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2771497, "full_name": "Tabish Bidiwale", "title": "Founder", "founder_bio": "Building OpenSpec, the open-source spec-driven framework that makes AI coding reliable on complex work. 20k+ GitHub stars.\n\nPreviously Team Lead at Q-CTRL. Joined as an early engineer and built the core platform and multiple products from seed to a $113M Series B.\n\nWhile at Q-CTRL, I saw coding agents recreate the same failure mode as human teams: misalignment. Existing tooling wasn’t built for that shift, which led me to building OpenSpec.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tabishbidiwale/", "x_url": "https://x.com/0xTab", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/955c9d15119b9f27c3f350d9adb40a8a68663c6c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98556, "title": "OpenSpec: The Spec Framework for Coding Agents", "tagline": "27k+ stars. The open-source spec layer for AI-assisted development", "body": "Hey, everyone, I'm Tabish, and I’m the founder of [OpenSpec](https://openspec.dev/)!\n\n**TL;DR:** OpenSpec is an open-source spec framework that captures what you're building, why, and how, before your coding agent writes a line of code. 27k+ GitHub stars in under six months.\n\n[\\[Launch Video\\]](https://youtu.be/N-MftbmnmMo)\n\n### The Problem\n\nGenerating code is now cheap. Correctness is still expensive.\n\nEngineers don't distrust AI-generated code because models aren't capable. They distrust it because they can't reliably get the output they actually wanted. Did the agent meet my requirements? Handle edge cases? Fit my architecture?\n\nThe bottleneck isn't the model. It's underspecification.\n\n### How It Works\n\nOpenSpec adds a spec layer to your codebase: an openspec/ folder in your repo with two parts.\n\n**A spec library** (openspec/specs/) that documents how your system actually works, organized by capability. Living documentation that your agents and your team can always reference.\n\n**A changes system** (openspec/changes/) where each feature you build gets a proposal, design, implementation tasks, and spec deltas showing exactly how the requirements will change. When you ship, the deltas merge back into the spec library, so it grows with your codebase.\n\nEverything is markdown. Checkable into Git. Always accessible by your coding agent. We provide integrations with 20+ AI tools (Claude Code, Cursor, Windsurf, Copilot, and more) so your agents help you create, evolve, and manage specs through slash commands and skills.\n\n* **Your thinking persists.** Unlike plan mode, specs don't vanish when you close the chat.\n* **Iterate across sessions.** Evolve specs, keep the context.\n* **Changes are cheap here.** Expensive in code.\n\nWe're seeing teams shift from code review to _plan review_. It's easier to read a markdown spec than a large diff, and writing one forces real thought about the problem.\n\n### Backstory\n\nI was a team lead at a quantum computing startup. Turns out, managing coding agents is a lot like managing a team. Things break when there's no alignment on what you're building and why. Coding agents can't read your mind. That's still your job. We're building the workspace where that job gets done.\n\n### Ask\n\n**If your team has adopted AI coding tools but you're finding it harder to stay aligned, that's exactly the problem we're solving.** Code review feels heavier, agents produce work that doesn't quite fit, and your codebase is changing faster than anyone can track.\n\n* **Try it yourself:** OpenSpec takes less than a minute to set up. Use it on your next feature: [github.com/Fission-AI/OpenSpec](https://github.com/Fission-AI/OpenSpec)\n* **Engineering teams working on large or multi-repo codebases:** We're building Workspaces for teams that need deeper collaboration, customization, and multi-repo planning. If that sounds like you, we want to build it with you. Reach out at [tabish@openspec.dev](mailto:tabish@openspec.dev).\n* **Know an eng lead figuring out how to make AI coding work across their team?** We'd love an intro.\n\n**Website:** [openspec.dev](http://openspec.dev) **Email:** [tabish@openspec.dev](mailto:tabish@openspec.dev)\n\n![uploaded image](/media/?type=post&id=98556&key=user_uploads/2771497/52c10f89-0332-4d48-8df7-49e9091d942c)\n\n", "url": "https://www.ycombinator.com/launches/Pdc-openspec-the-spec-framework-for-coding-agents", "votes": 77, "created_at": "2026-03-06T22:33:21.404Z" } ] }, { "id": 31118, "name": "/dev/fast", "slug": "devfast", "former_names": [ "Workable Solutions Inc.", "Fix.Fast", "Carson" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdf0aa48a8dc6d626f3dad009167a50e943af31a.png", "website": "https://dev.fast", "all_locations": "San Francisco, CA, USA", "long_description": "/dev/fast is the AI-native code forge. We're building Whiteboard, an open-source canvas for thoughtful software design.\r\n\r\nThe Whiteboard app is designed to give you confidence in your code. Critique interactive visualizations, diffs, and agent traces, all from one interface. \r\n\r\nLearn more at https://dev.fast", "one_liner": "/dev/fast is the AI-native code forge", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771920641, "tags": [ "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/devfast", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/devfast.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdf0aa48a8dc6d626f3dad009167a50e943af31a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2724635, "full_name": "Sid Menon", "title": "Founder/CEO", "founder_bio": "building the next github | prev @ Palantir, Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sidkmenon", "x_url": "https://x.com/sidharthkmenon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9df7a47196b0b3ea640038c9080302bc630f2050.jpg" }, { "user_id": 1722920, "full_name": "Ketan Agrawal", "title": "Founder", "founder_bio": "Building an AI-native Github @ dev.fast prev: AI/ML engineering at Snowflake, Robust Intelligence, Stanford Symbolic Systems/CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ketan-jay-agrawal/", "x_url": "https://x.com/_ketan0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79c767279e2e8310d2c0d028dd9d9dc98a512a9c.jpg" }, { "user_id": 269315, "full_name": "Milan Bhandari", "title": "Founder/CTO", "founder_bio": "Building the next GitHub. Prev: Bolto (YC S23), Palantir, Harvard CS '21", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/milan-bhandari-623979163/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/081a8aeb83f83cdfa8e6272270c6e43ccf58c5e7.jpg" }, { "user_id": 3196010, "full_name": "Alex Iansiti", "title": "Founder/CPO", "founder_bio": "rethinking dev tools for the era of slop code. Prev: Flowcode, Pinterest, Harvard CS '21", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-iansiti/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82e7f47b9c7be6a5b2494c5fd1542e18a78547b7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112248, "title": "/dev/fast: Cursor for Code Review", "tagline": "Review is an open-source desktop app built for humans to understand AI-generated code. Critique interactive visualizations, diffs, and agent traces, all from one interface.", "body": "**TL;DR:** _Review is an open-source desktop app designed to give you confidence in your code. Critique interactive visualizations, diffs, and agent traces, all from one interface. It’s like Cursor, but purpose-built for code review._\n\n**Our Ask:** Try our app on your toughest code reviews; it is most illuminating for large, complicated changes. [Download the app](https://install.dev.fast/), [star the repo](https://github.com/devdotfast/review), & ask your questions on our [Discord](https://discord.gg/dev-fast)!\n\n**Demo Video:** \n\n**The Problem:**\n\nNo one knows how much code we should be reading these days.\n\nIt feels tedious and old-fashioned to manually comb through thousands of lines of changes, and yet irresponsible to merge code you can’t confidently describe.\n\nWe’ve lost touch with how our own systems work.\n\nBuilding a company is a long game. Development is an iterative process. It takes accountability and code comprehension at every stage to build a great product that customers can count on ([ex 1](https://www.geoffreylitt.com/2026/07/02/understanding-is-the-new-bottleneck), [ex 2](https://margaretstorey.com/blog/2026/02/09/cognitive-debt/)).\n\n**Our Solution:**\n\nBefore AI, staff engineers understood massive software systems even when they didn’t have time to read all contributed code. They prioritized without sacrificing complexity by:\n\n\\- Scrutinizing RFCs and architecture diagrams\n\n\\- Skipping low-impact PRs\n\nReview treats you like a staff engineer. You can think of it as a ‘Cursor for code review.’ It helps you build programmatic, customizable RFCs from your PRs using coding agents.\n\nInstead of reviewing 1000+ line diffs you:\n\n1\\. Consult a variety of interactive diagrams built on our SDK:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/4db58f4d-cdcc-4825-966d-c92ffcfedeba)\n\n2\\. Chat with the authoring agent to leave comments on the change:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/5849e89e-3eb0-494d-a921-985402d16252)\n\n3\\. Audit the agent’s decisions by connecting traces to code:\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/d0b141ce-fcb3-4392-b59f-6d16e4f10f1a)\n\n—\n\n**Team:**\n\n![uploaded image](/media/?type=post&id=112248&key=user_uploads/2724635/42caf723-b7dc-4ca1-a848-9bbce13cd39e)\n\n**Sid (CEO)** was a tech lead on Palantir’s cloud infrastructure team, where he built secure hybrid cloud deployment infrastructure. He studied CS at Harvard.\n\n**Milan (CTO)** was a cofounder of Bolto (YC S23) and previously worked on Palantir's ML infrastructure team, where he built tools for in-platform model deployment and evaluation. He studied CS at Harvard.\n\n**Ketan (CSO)** has worked as a machine learning engineer at Robust Intelligence where he red-teamed AI systems to make them fail, and at Snowflake where he built data-querying agents. He studied CS at Stanford.\n\n**Alex (CPO)** worked as a software engineer at Pinterest and at Flowcode where he led an effort to rearchitect the product for large enterprises. He studied CS at Harvard.\n\n—\n\n**We’re going all in on open-source. Our dream is to be the open-source code forge for the AI era.**\n\n**Install the app here:** \n\nHave questions, comments, or interested in a design partnership for our hosted product? We’d love to hear from you!", "url": "https://www.ycombinator.com/launches/TCS-dev-fast-cursor-for-code-review", "votes": 4, "created_at": "2026-08-25T23:51:47.650Z" }, { "id": 98162, "title": "Carson: More secure than OpenClaw, More capable than Cowork", "tagline": "An AI agent with enterprise-grade security that generates custom, task-specific interfaces.", "body": "**TL;DR:** AI agents are trapped in chat bubbles. Carson breaks free by generating dynamic interfaces like research dashboards or slide editors, customized to your current task. Carson is built for problem solvers pushing the bounds of AI in sales, marketing, and ops, with enterprise-grade security baked in.\n\n**Our ask:** Sign up to use Carson today at [usecarson.com](http://usecarson.com), it's free for your first 7 days.\n\n**Demo Video:** \n\n### The Problem:\n\nAI tools today force you to choose between power and safety:\n\n**1) Openclaw is powerful but insecure** ([example](https://x.com/summeryue0/status/2025774069124399363))**:**\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/b2f3f2f6-a15c-437b-840a-e8e2f075c2d4)\n\n**2) Claude Cowork is too limited:** Cowork is useful, but it could do much more. For example, if you use Cowork to source candidates, you need to bounce between LinkedIn, email, and the desktop app. Its permissions system is also clunky: you either approve every single action manually or skip permissions entirely with YOLO mode.\n\nOn some level security & autonomy are fundamental tradeoffs, but better tools should exist.\n\n### The Solution:\n\nCarson’s UI is generative, which means it changes to suit your use-case. Let’s walk through a common workflow as an example: **sales.**\n\n**Phase 1: Outbound**: Below, I first use Carson to research leads. It realizes that I want structured data, so it fills an editable spreadsheet with deep research. \n\nOnce that’s ready, I ask it to help me draft emails. Instead of switching between my LinkedIn, research, and my email, Carson generates a unified email workspace with all three in one pane.\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/4d5a7add-b0dd-4189-be0c-2f296cc24915)\n\n**Phase 2: First Meeting Prep (“Vibe Sliding”):** when the emails turn into meeting invites, I can use Carson to generate a customized slide deck based on the response & deep research (complete with branding)! I can also “vibe slide” and make edits to the slides using natural language.\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/c69368ec-fa33-4746-a005-ef640ff400d7)\n\n**Phase 3: Automations:** Carson can create and run automations in natural language. In this case, I ask Carson to send slides to me on Slack every time a new intro meeting comes up:\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/7ec59f08-0a16-4bb4-aefd-e686923d5a21)\n\n### \n\n**Security Infrastructure**\n\n**TL;DR: You can actually install Carson at work.**\n\nWe weren’t happy at all with the primitives out there on agentic security. The compromises range from the uncomfortable (granting broad access to your entire email & calendar) to deeply concerning (giving an agent secret keys and telling it “\\_hey make no mistakes\\_”).\n\nInstead, Carson is built around a fine-grained authorization system. You can tell the agent “\\_it’s ok to send emails to these addresses, but ask me before interacting with those other ones\\_”, and it’s enforced at the runtime level – the agent literally cannot send emails to unintended recipients.\n\n### **Our Asks:**\n\nIf you’ve felt that Claude Cowork could be more capable or felt scared to try OpenClaw at work, Carson is right for you.\n\nContact us at +1-614-984-8423 or at [sid@usecarson.com](mailto:sid@usecarson.com). We’ll come over and install Carson for you (if you ask nicely, there may be a bag of sumo oranges provided, too).\n\n**The Team**\n\nAlex, Sid, and Milan met doing college projects together at Harvard, and Sid and Ketan go way back (to elementary school).\n\n![uploaded image](/media/?type=post&id=98162&key=user_uploads/2724635/275c90fc-a5a9-4199-a657-221b81dee677)\n\n**Sid (CEO)** was a tech lead on Palantir’s cloud infrastructure team, where he built secure deployment infrastructure for untrusted workloads. He studied CS at Harvard.\n\n**Milan (CTO)** was a cofounder of Bolto (YC S23) and previously worked on Palantir's ML infrastructure team, where he built tools for in-platform model deployment and evaluation. He studied CS at Harvard.\n\n**Ketan (CSO)** has worked as a machine learning engineer at Robust Intelligence where he red-teamed AI systems to make them fail, and at Snowflake where he built data-querying agents. He studied CS at Stanford.\n\n**Alex (CPO)** worked as a software engineer at Pinterest and at Flowcode where he led an effort to rearchitect the product for large enterprises. He studied CS at Harvard.", "url": "https://www.ycombinator.com/launches/PXG-carson-more-secure-than-openclaw-more-capable-than-cowork", "votes": 57, "created_at": "2026-02-26T01:04:36.863Z" } ] }, { "id": 31119, "name": "ZeroSettle", "slug": "zerosettle", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/452371c9b837fb899ab50db5096bb04a576b19fb.png", "website": "https://zerosettle.io", "all_locations": "San Diego, CA, USA", "long_description": "ZeroSettle is a mobile SDK that switches customers from App Store billing to direct billing. It takes 15 minutes to set up and immediately unlocks zero App Store fees, higher retention/conversion, and instant payouts.", "one_liner": "Drop-in Direct Billing SDK for In-App Purchases", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1770252325, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Payments" ], "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/zerosettle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/zerosettle.json", "year_founded": 2026, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zerosettle", "x_url": "https://x.com/zerosettle", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/452371c9b837fb899ab50db5096bb04a576b19fb.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": 1356034, "full_name": "Gabe Roeloffs", "title": "Founder/CEO", "founder_bio": "Used to work on operating systems @ Apple (yes, all of them). And now I help mobile developers improve their net margins by avoiding the 30% App Store commission. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabe-roeloffs", "x_url": "https://x.com/gaberoeloffs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e8a22408939b5d83117c9dba239b62b16180f54.jpg" }, { "user_id": 3203152, "full_name": "Ryan Elliott", "title": "Founder/CTO", "founder_bio": "Building and scaling ZeroSettle: the future of mobile gaming payments. Previous systems software engineer at Apple.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanelliott-10", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c91ea19ee288c4712457f948e7ca7944d65b89a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98611, "title": "ZeroSettle - Keep More of Your Mobile App Revenue with Drop-In Direct Billing", "tagline": "Skip the App Store fees, boost retention, and get instant payouts.", "body": "### **TL;DR**\n\nMy co-founder and I are two former Apple software engineers who built ZeroSettle, a drop-in direct billing SDK for mobile apps. It takes 15 minutes to set up and developers immediately start enjoying zero App Store fees, higher user retention, and instant payouts.\n\n\n\n# **Why Now?**\n\nZeroSettle was born out of the famous Epic v Apple lawsuit in May 2025 that required Apple to allow developers to offer direct billing. This unlocked $150B+ of annual in-app purchase volume overnight - every single mobile app leader is currently looking for ways to take advantage of this.\n\n### **The Problem**\n\nMobile developers are not fond of Apple’s 30% fee. Direct billing is the clear alternative, but we’ve heard from mobile leaders that implementing it without hurting conversion is quite difficult. After all, customers are pretty familiar with the Apple flow they’ve used for the last decade plus. On top of that, rolling your own cross platform subscription management system is fraught with peril.\n\n### **The Solution**\n\nThe ZeroSettle SDK provides drop-in, intuitive UI flows that help developers offer direct billing to their users. These take just 15 minutes of engineering work to set up! Each use case increases margins or LTV (or both!) and avoids conversion concerns. \\\nHere's a few examples of the UI flow we provide:\n\n**Switch & Save Campaigns**\n\nZeroSettle intelligently shows offers to users to encourage them to switch to direct billing in exchange for a discount. This shows to users who have been subscribed for a given amount of time (default 60 days), and that's configurable in the dashboard. Everyone wins - more affordable plans for users and massive margin improvements for devs.\n\n![uploaded image](/media/?type=post&id=98611&key=user_uploads/1356034/fef706dd-144a-40ba-b56c-e935468bde1c)\n\n**Native Feeling Web Checkout Flows**\n\nFor in-app consumables (like coins and gems), developers can support web checkout directly and keep all of their revenue. ZeroSettle displays a browser sheet that looks native and customers can use Apple Pay and Google Pay inside of it.\n\n![uploaded image](/media/?type=post&id=98611&key=user_uploads/1356034/4f3f40ba-7e93-4e88-8da0-e8bf9e104a0a)\n\n**Smart Cancellation Flows**\n\nOne of the best aspects of direct billing is the fact that devs have full control over the cancellation flow. This provides a great opportunity to improve LTV by offering discounts to users who attempt to cancel, or even letting them pause their existing subscription.\n\n![uploaded image](/media/?type=post&id=98611&key=user_uploads/1356034/7ed26f99-1360-4bcb-a04c-39fdb7ee1fd4)\n\n**Billing Engines**\n\nWhen it comes to billing engines, we offer developers two options:\\\n\\\n**1. Use ZeroSettle’s built in Billing Engine**\\\nYou can think of the ZeroSettle Billing Engine as functionally equivalent to the App Store billing system today, but cheaper. Just like Apple, ZeroSettle acts as the MoR and charges a **5% + 50c** commission instead of **30%**. ZeroSettle handles all the chargeback fraud and customer support behind the scenes.\\\n\\\n**2. Bring Your Own Stripe**\\\nIf a developer wants to be their own MoR, they can connect their Stripe account. This means the developer handles chargeback fraud and customer support. With BYOS, ZeroSettle charges a flat **0.5%** fee when ZeroSettle’s intelligent offers successfully switch a user to direct billing.\n\n# **Sound Interesting?**\n\nIf you’re a mobile developer interested in avoiding the App Store and/or Google Play fees, go ahead and create an account at [zerosettle.io](https://zerosettle.io). And if you know a mobile developer that you’d like to help make a lot more money, send them our way! We support Swift, Kotlin, Flutter, and React Native across iOS and Android. The best part? It’s completely free to use and try out in sandbox mode. \n\nIf you have any questions, please don’t hesitate to reach out to [founders@zerosettle.io](mailto:founders@zerosettle.io) or or (805) 215-0740.\n\n![uploaded image](/media/?type=post&id=98611&key=user_uploads/1356034/26467ff1-47a5-4621-aa40-80c4f5c373fb)\n\n", "url": "https://www.ycombinator.com/launches/PeV-zerosettle-keep-more-of-your-mobile-app-revenue-with-drop-in-direct-billing", "votes": 12, "created_at": "2026-03-09T07:07:30.387Z" } ] }, { "id": 31120, "name": "Kyten Technologies", "slug": "kyten-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.png", "website": "https://kytentech.com", "all_locations": "Seattle, WA, USA", "long_description": "Kyten Technologies is building a factory to manufacture custom aerospace-grade battery packs. \r\n100,000+ drones, submarines, and satellites are being built in the US, but the legacy supply chain can't keep up. \r\nDuring our six years at Starlink, we put 5,000+ battery packs into space. Now, we're bringing rapid development and volume production of aerospace-grade battery packs to the entire industry.", "one_liner": "Custom Aerospace-Grade Battery Packs", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769535029, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "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/kyten-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/kyten-technologies.json", "year_founded": 2026, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111249039/admin/dashboard/", "x_url": "https://x.com/KytenTech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/966b1340bdeb6a7d80ba3f1c34c89a62f57a4bff.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": 3147934, "full_name": "Cooper McBride", "title": "Founder", "founder_bio": "In the span of six years, Cooper went from an intern at Tesla to building and leading 30+ person engineering teams at SpaceX and Shield AI. His teams played a critical role in each company's industry-leading development pace, production rates, and reliability.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/cooper-mcbride/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83fbaee0b2a501468f9a73c063eafb4828daa534.jpg" }, { "user_id": 2153211, "full_name": "Lucas Maddox", "title": "Founder", "founder_bio": "My startup failed. I'm back at SpaceX working as an engineering lead.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/lucasmaddox", "x_url": "https://x.com/maddox_lucas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3e976c022f6e658bee111cfb46008111ab4be10.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97246, "title": "Kyten - The modern aerospace battery pack supplier", "tagline": "Custom aerospace-grade battery pack factory", "body": "Hey everyone, we’re [Cooper](https://www.linkedin.com/in/cooper-mcbride/) and [Lucas](https://www.linkedin.com/in/lucasmaddox/) - cofounders of [Kyten Technologies](https://www.kytentech.com/)👋\n\n### **TL;DR**\n\nAmerican manufacturers are racing to build 100,000+ autonomous vehicles for the air, sea, and space. Every vehicle needs a custom, aerospace-grade battery pack, but the supply chain delivering them is holding programs back. We’re changing that.\n\nDuring our six years at **Starlink**, we put over 5,000 battery packs into space. Now, we’re bringing rapid development and volume production to the entire industry.\n\n**_Ask_:** We have capacity for a few pilot customers—if you know any sea, air, or space manufacturers, please send them our way at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com).\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/dad68a31-f6b9-4416-b89a-88ec56504144)\n\n### 🐌 The aerospace supply chain is holding OEMs back\n\nEvery drone, submarine, and satellite needs a custom battery pack. But as demand grows into the tens of thousands per year, the supply chain is a generation behind:\n\n* **6-12 months** to design and qualify custom builds.\n* **6-12 months** to ramp to high volume production.\n* **At least 5x** the cost of vertically integrating the product itself.\n\nForced vertical integration results in slower programs, higher costs, and significant delivery risk.\n\n### 🛠️ Kyten builds aerospace battery packs fast and at high volume\n\nWe spent a combined eight years at **Starlink** and **Shield AI** driving down lead times and increasing production capacity of aerospace-grade battery packs. Kyten builds on this experience to deliver high volumes in weeks, not 12+ months:\n\n* **1 week** to design via adaptive architecture.\n* **1 week** to qualify via automated in-house testing.\n* **1 week** to volume production via software-defined manufacturing.\n* **1,000s of units/year** per product.\n\n![uploaded image](/media/?type=post&id=97246&key=user_uploads/2153211/0ec4b193-79f5-4f5d-ba72-6c8cd9bf1874)\n\nUnlike the legacy aerospace supply chain, Kyten thinks like a modern manufacturer. If you, or anybody you know, needs custom aerospace-grade battery packs, please reach out at [lucas.maddox@kytentech.com](mailto:lucas.maddox@kytentech.com) 🦅\n\n", "url": "https://www.ycombinator.com/launches/PIU-kyten-the-modern-aerospace-battery-pack-supplier", "votes": 17, "created_at": "2026-01-28T22:03:08.669Z" } ] }, { "id": 31121, "name": "Avoice", "slug": "avoice", "former_names": [ "AVoice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/09b00897bad7b286c988185a245a471be3726665.png", "website": "https://avoice.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Avoice is an all-in-one, AI-native platform for running an architecture practice. It covers the whole arc of a project: pricing and proposals to win the work, research and schedules in early design, specifications and QA/QC checks through documentation, contract particulars and preliminaries at tender, then RFIs, submittals, instructions, certificates and valuations through construction, and the compliance record at handover. Timesheets, fees, financials and invoicing run alongside, with Xero and QuickBooks.\r\n\r\nSpecification is the most-used part of the platform. Avoice drafts coordinated, tender-ready specifications from a practice's own drawings, schedules and office masters, then checks them back against those drawings. Work that normally takes weeks takes an afternoon.\r\n\r\nPractices in the UK, US, Australia and New Zealand use Avoice, from boutique studios to firms of several hundred people. It integrates with Revit and ArchiCAD. ", "one_liner": "AI-native workspace for AEC", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1763995110, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/avoice", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/avoice.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avoicelabs/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/09b00897bad7b286c988185a245a471be3726665.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3203441, "full_name": "Chawin Asavasaetakul", "title": "Founder/CEO", "founder_bio": "Chawin has a B.S. in MS&E from Stanford. He founded an edtech startup in college that hit $1M+ in revenue and sold to Boston Networks in 2025, and co-founded Yindii, a surplus food marketplace active in 4 countries with 700K+ users. As Co-CEO of Dyno, a 200+ person family coatings business, he reversed a decade of decline and drove 20% YoY revenue growth to $15M. There he built the architecture sales team from scratch, spending two years working with architects before co-founding Avoice. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chawinasava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cb30e349866188ba91999a3cc6db7b858c1835c.jpg" }, { "user_id": 2900949, "full_name": "Chawit Asavasaetakul", "title": "Founder/CTO", "founder_bio": "Building Avoice!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chawit-asavasaetakul-a487a724b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0da4630c69a42f3ec46655b2e1dde214a4911fda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98604, "title": "Avoice: Harvey for Architecture", "tagline": "AI Agents for the $300B Architecture Industry", "body": "**TL;DR:** [Avoice](https://avoice.co/) is building the AI operating system for architecture. Architects sit at the center of a $300B industry with 3.5M professionals globally, yet their core workflows remain largely untouched by AI. We're building the AI-native workspace that automates documentation, specifications, and coordination across the architecture workflow.\\\n\\\n\\*\\*Launch Video: \\*\\*\\\n\\\n**The Problem**\\\n\\\nArchitecture sits at the center $12T construction ecosystem. Yet the workflows that run architectural projects — specifications, documentation, coordination, and compliance — are still largely manual.\n\nArchitects spend huge amounts of time writing specs, organizing project documentation, coordinating materials, and checking drawings across fragmented tools.\n\nDespite the scale of the industry, there are virtually no AI-native solutions built specifically for architectural workflows.\\\n\\\n**The Solution**\n\n**Avoice is building AI operating system for architecture.**\n\nOur AI agents automate the operational workflows that run architectural projects — generating specifications, structuring project documentation, coordinating materials, and managing schedules.\n\nInstead of manually assembling documentation across multiple systems, architects can run these workflows through Avoice turning weeks of works into minutes.\n\nToday firms are already using Avoice to run real projects.\n\nOver $300M in construction projects are currently operating on the platform across firms in 5 countries.\\\n\\\n**Team**\\\n\\\n[Chawin](https://www.linkedin.com/in/chawinasava/) previously served as Co-CEO of Dyno, a 200+ person coatings company where he reversed a decade of decline and grew revenue to $15M while building the company’s architecture sales team and working closely with architects, essentially working with architects every day for two years! Earlier, he founded and sold an edtech startup that scaled to $1M ARR and in high school he co-founded Yindii, a surplus food marketplace now serving 700K+ users across four countries. B.S. in MS&E from Stanford. \\\n\\\n[Chawit](https://www.linkedin.com/in/chawit-asavasaetakul-a487a724b/) conducted AI research at UCSF and UC Berkeley’s CAHL Lab. He previously built production systems at Amazon powering Alexa+. He is also a U.S. National Chess Master and has ranked among the top 10 players in Thailand for the past five years and counting. CS dropout at UC Berkeley.\\\n\\\nLearn more at [avoice.co](https://avoice.co/) and reach out at [founders@avoice.co](mailto:founders@avoice.co)", "url": "https://www.ycombinator.com/launches/PeO-avoice-harvey-for-architecture", "votes": 38, "created_at": "2026-03-08T23:44:32.873Z" }, { "id": 97724, "title": "Avoice: The AI workspace for architects", "tagline": "Harvey for Architecture ", "body": "[Avoice](https://www.avoice.co/) is the AI workspace for architecture firms, using AI agents to automate the operational work that takes time away from design. The platform understands messy project data - specifications, schedules, codes, drawings, materials, and notes - and turns them into structured, usable outputs across documentation, coordination, QA/QC, and research.\n\nInstead of architects manually stitching together PDFs, spreadsheets, and folders, Avoice’s AI agents act as digital teammates that can write specifications, check compliance, coordinate schedules, and surface project knowledge across a firm’s past work.\n\nFirms using Avoice already manage $300M+ in active projects on the platform.\n\n**Problem**\n\nArchitects spend an enormous amount of time on work that is critical but painful: writing specifications, coordinating schedules, checking codes, redlining documents, and keeping project knowledge consistent across teams.\n\nThis work is:\n\n* Fragmented across PDFs, spreadsheets, emails, and folders\n* Largely manual, repetitive, and error-prone\n* Poorly supported by modern tools (most software optimizes drawings, not documentation)\n\nThe architecture industry is also a massive ($300B+) but historically underserved market: highly fragmented, dominated by small and mid-sized firms, and reliant on legacy software built decades ago.\n\nMost incumbents focus on drawings or rigid document systems that require heavy customization and consulting to work for each firm. As a result, many architecture practices still rely on patchworks of spreadsheets, PDFs, and disconnected tools to manage documentation and project knowledge.\n\nAs a result, firms lose time, consistency, and institutional knowledge across projects , especially as teams scale or turn over.\n\n**Approach**\n\nWe built Avoice around how documentation is actually produced inside architecture firms — specs, schedules, coordination, and QA — not just drawings.\n\nAvoice acts as a shared workspace where project information lives in one place and stays connected as it evolves. Instead of rewriting the same information across different documents, teams can reuse, reference, and update it consistently.\n\nHistorically, architecture software struggled because every firm works slightly differently. Customizing workflows and documentation systems for each practice required expensive consulting and was difficult to scale. AI changes this equation.\n\nWith Avoice, AI agents can adapt to a firm’s specific standards, templates, and workflows, helping generate specifications, coordinate schedules, check for coordination issues, and support QA while still keeping architects in control of decisions and design intent.\n\nOur goal isn’t to change how firms practice architecture, but to reduce the manual overhead that slows teams down and introduces avoidable\\\n\\\n", "url": "https://www.ycombinator.com/launches/PQC-avoice-the-ai-workspace-for-architects", "votes": 71, "created_at": "2026-02-11T16:43:57.687Z" } ] }, { "id": 31123, "name": "21st", "slug": "21st", "former_names": [ "21st", "1code by 21st.dev", "1code (21st.dev)", "1code (ex: 21st.dev)", "1code (21st.dev)", "21st.dev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74c9b33dec39ae88db50c30496502959820c2018.png", "website": "https://21st.dev", "all_locations": "San Francisco, CA, USA", "long_description": "21st.dev is the largest React component registry for AI applications, used by 2M developers \r\nWe provide the building blocks to create agent-powered apps: UI components, agent templates.", "one_liner": "UI building blocks for the agentic internet", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1765422527, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/21st", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/21st.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/21st-dev/", "x_url": "https://x.com/21st_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74c9b33dec39ae88db50c30496502959820c2018.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d642f288898995e103482899e3aaf9c1f445a961.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 736150, "full_name": "Serafim Korablev", "title": "Founder/CEO", "founder_bio": "One of the first full-time vibe-coders (since October 2023). \n\nCo-founder of 21st.dev, a UI components registry with over 1m users. \n\nPreviously co-founded Rork.com (then a web app builder for Next.js), the first Telegram-native memecoin launchpad (multi-million exit), and Via, a cross-chain crypto routing protocol with $1.5B GTV backed by Naval, Safe, Sandeep, and others. \n\nPassionate about design and basketball.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/serafimkorablev", "x_url": "https://x.com/serafimcloud", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c31cb4436a1f8c1e8bbd013792ba179ebd34a1f.jpg" }, { "user_id": 564249, "full_name": "Sergey Bunas", "title": "co-founder", "founder_bio": "CS dropout. Senior Software Engineer at Deel (W19). Built Perplexity before Perplexity (Suggesty, 2022 — #1 Product Hunt, featured in Google's internal newsletter). Solo-built a Figma competitor pre-AI (Stage, 10K users). Cambridge AI hackathon winner (solo)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/s-bunas/", "x_url": "https://x.com/sergeybunas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d9fe695712a7823f3ff5612f545749362a5836c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98841, "title": "21st - Infrastructure for AI agents", "tagline": "The production layer for shipping frontier AI agents inside your product - sandboxing, streaming, billing, UI, and observability out of the box.", "body": "**tl;dr:** We make it stupid easy to deploy frontier AI agents (Claude Code, Codex, others) inside your product. Define your agent in TypeScript, deploy with one command, ship it to your users.\n\n\n\n### How we got here\n\nLast year we built [21st.dev](http://21st.dev) - a React component registry that 1.4M developers use to build UI for AI apps.\n\nWe also built our own AI agents from scratch to power the product. All custom. 15,000+ GitHub stars.\n\nThen Claude Code arrived. We rewrote our agents on top of it - and they got better overnight than in months of our own work. That was a humbling moment.\n\nBut here's the thing - getting Claude Code into production was brutal. These agents aren't API calls. They're runtimes. They rely on bash, filesystem, persistent sandboxes. So you can't just run them on Vercel (timeouts, no fs). Then the questions start piling up. How do you sandbox securely? How do you make sure your env vars aren't stolen from the sandbox? How do you handle streaming? Billing? Observability? You end up building way more infrastructure than you planned for.\n\nWe spent 2 months deep in these problems. And then we realized - every team building on frontier agent SDKs is facing the exact same wall we just climbed over.\n\nSo we turned our infrastructure into a product.\n\n### 21st Agents SDK\n\nThe agent SDKs give you the brain. We give you everything else.\n\nWhat you get out of the box:\n\n* Sandboxed code execution (powered by E2B) - secure, persistent\n* Credential security - proxy layer so your keys never touch the sandbox\n* SSE streaming, compatible with AI SDK\n* Crafted agent chat UI with themes\n* Usage limits & billing\n* Observability\n\nHow it works: you define your agent in code - custom tools, hooks like onFinish, sandbox configuration (which files, which CLI tools, which tokens). Then you deploy with our CLI. And you have a hosted agent you can manage via API. It's AI SDK compatible so you can just plug and play on the client side.\n\nSDK supports React, Next.js, Node, and Python.\n\n### Why this matters now\n\nThe best agents aren't being built from scratch anymore. They're being built on top of frontier agent runtimes from Anthropic, OpenAI, and others. But shipping them to real users? That's still a mess. The gap between \"agent works on my machine\" and \"agent works for my customers\" is enormous.\n\nWe already closed that gap for ourselves. Now we're the infra layer so you don't have to.\n\n### Try it\n\n\n\nIf you're building with frontier AI agents and hitting production walls - we want to hear about it. DM us on X (@serafimcloud, @sergeybunas) or email [founders@21st.dev](mailto:founders@21st.dev)\n\n---", "url": "https://www.ycombinator.com/launches/PiD-21st-infrastructure-for-ai-agents", "votes": 19, "created_at": "2026-03-16T08:16:04.714Z" } ] }, { "id": 31126, "name": "Palus Finance", "slug": "palus-finance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0848c6eda1cd290639119a9922d58316825a98e4.png", "website": "https://palus.finance", "all_locations": "", "long_description": "After a fundraise, you want to focus 100% on scaling your company, but suddenly there's a mountain of finance and ops decisions you need to figure out. Though these tasks feel like distractions, making the wrong decisions here can literally kill your company.\r\n\r\nPalus is your startup's financial advisor. We help you with the decisions that come with scaling: where to store your cash, how to think about runway, and how to optimize your company’s finance/ops setup.\r\n\r\nPalus will save you dozens of hours on operations work, help you avoid making financial mistakes, and our cash management service can earn you $100s of thousands in extra yield on your fundraise without switching banks or taking on unnecessary risk. And you can reach us 24/7 via Slack.\r\n\r\nWhat makes us an advisor and not another bank or finance tool is that we're an actual fiduciary, not a product with a salesperson attached. Mercury, Rho, and Brex can't legally give you financial advice; they hand you a dashboard and leave the decisions to you. Palus signs an advisory contract with you, giving us a legal fiduciary duty to act in your company’s best interest. This lets us give you actionable financial advice and optimize your cash to best suit your goals and company’s needs.\r\n\r\nSam and Michael are technical cofounders who met at Caltech. Sam previously built the AI research platform for a $3T AUM asset manager; Michael built quantum computers for the defense industry.", "one_liner": "Your startup's financial advisor", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1773084349, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/palus-finance", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/palus-finance.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/palus-finance/", "x_url": "https://x.com/PalusFinance", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0848c6eda1cd290639119a9922d58316825a98e4.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": 3161967, "full_name": "Sam Lushtak", "title": "Founder/CEO", "founder_bio": "CEO @ Palus Finance. Used to manage cash for Fortune 500 companies, now I do it for startups. Ex-Goldman Sachs, ex-Capital Group. Caltech alum. Sharpe ratio enthusiast.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuel-lushtak", "x_url": "https://x.com/Sam_Lushtak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f382e130db5c27bc339f37a1df5739f96830039e.jpg" }, { "user_id": 3201332, "full_name": "Michael Gonzalez", "title": "Founder/CTO", "founder_bio": "CTO @ Palus Finance. Distributed systems nerd. Previously wrote monitoring software that saved defense contractors $150M by optimizing uptime of multi-site fleets of quantum computers. Caltech alum.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mogonzal", "x_url": "https://x.com/michaelatpalus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/682c63cb658ec6f9343888411af60fad827d02b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98654, "title": "Palus Finance - Better yields on idle cash for startups and SMBs", "tagline": "Up to 50% more yield from your company treasury, without switching banks.", "body": "Hey everyone 👋\n\nWe're Sam and Michael, co-founders of Palus Finance.\n\n**TL;DR: Palus gives startups and SMBs access to institutional-grade bond portfolios, earning up to 50% more yields than money market funds with comparable safety and near-immediate liquidity.**\n\nInstead of replacing your bank, we plug into it, so you can spend five minutes optimizing your treasury and get back to building.\n\n👉 **Ask**: If your startup has idle cash earning money market rates, we'd love to show you what you're leaving on the table. Sign up at[ ](https://palus.finance/)[palus.finance](http://palus.finance) or reach out at [founders@palus.finance](mailto:founders@palus.finance).\n\nOur launch video:  \n\n### **The Problem**\n\nAfter a fundraise, startups park 18–24 months of cash in a money market fund and draw it down gradually. That cash sits there for months or years, earning roughly 3.5%, because every existing treasury product does the same thing: sweep your cash into a money market fund and charge a management fee.\n\nMoney market funds are the lowest rung of what's available in fixed income. They're safe and liquid, but you're paying for same-day liquidity on cash you won't touch for six months. Fortune 500 companies don't do this; they have treasury teams that actively invest in a range of safe, higher-yielding assets. But those strategies have always required dedicated treasury operations, and founders don't have time to be portfolio managers.\n\nIt turns out, a good yield strategy can have a real impact. On a $10M balance, the difference between 3.5% and 5% is $150K per year.\n\n**That can mean an extra engineer. Less dilution for founders. Or if it comes down to it, weeks of extra runway that can literally save your company.**\n\nThat kind of impact is worth five minutes of your time. We make it that quick.\n\n### **The Solution**\n\n![uploaded image](/media/?type=post&id=98654&key=user_uploads/3161967/8b564aea-e38b-400c-90c3-9a668224f055)\n\nPalus replaces the default money market fund with a bond portfolio specifically optimized for startup treasuries, targeting 4.5–5% returns with equivalent safety and 1–2 day withdrawal times. In other words, by giving up a couple days of liquidity on cash you won’t need for months, you can get up to 50% more yield on your treasury.\n\nWe're the only startup treasury product with a differentiated investment strategy. Everyone else is just a wrapper on a money market fund.\n\nWe think that startup banking products themselves (Brex, Mercury, etc.) are genuinely great at what they do: payments, payroll, card management. But it turns out their great bank product is bundled with a crappy treasury one. So rather than building another neobank, we built Palus to connect to your existing bank account via Plaid. Our goal was to create the simplest possible UX for this product: two buttons and a number that goes up.\n\n![uploaded image](/media/?type=post&id=98654&key=user_uploads/3161967/af23849b-56c1-46a0-b3ad-a5f6d6247f60)\n\n_Yes, this is what it actually looks like._\n\n## **The Backstory**\n\nWhen we joined YC, like all our peers, we were bombarded by emails from every startup bank, asking us to put money in their treasury platform. But then we realized all these products are just some elegant branding on a money market fund.\n\nSam comes from a finance background, so the status quo felt strange: startups were defaulting into the lowest-yielding safe asset in fixed income, simply because no one had built an easy way for them to access anything better (there is actually one widely-advertised treasury product that claims to offer higher yields, but instead of an MMF it uses a mutual fund where your principal is at considerable risk; it had a 9% loss in 2022 that took years to recover).\n\nAnd it's personal. We’ve seen friends’ startups try to stretch every last dollar of runway, hoping to buy just a few more weeks to close a round. A better yield on their reserves could have given them breathing room when it mattered most. That's the kind of margin we're building for.\n\nSo after talking to hundreds of founders, our mission was clear: create something that lets them easily access institutional-grade yields, so they can focus on building.\n\n### **The Ask**\n\n**If your startup has cash sitting in a money market fund**, sign up at[ ](https://palus.finance/)[palus.finance](http://palus.finance) and see how much more you could be earning. Setup takes minutes.\n\n**Know a founder or CFO managing idle cash?** Send them our way: [founders@palus.finance](mailto:founders@palus.finance).\n\nReach out if you have any questions: we love talking about this stuff, helping founders manage their money, and making finance less confusing for people.\n\n### **The Team**\n\n**Sam Lushtak** (CEO): Previously built an investment research platform for an asset manager with over $3T AUM. Caltech alum. Sharpe ratio enthusiast.\n\n**Michael Gonzalez** (CTO): Wrote monitoring software that saved defense contractors $150M+ by optimizing uptime of multi-site quantum computing fleets. Caltech alum. Distributed systems nerd.\n\n**See Palus in action here:** \n\n_This post is for educational purposes only and does not constitute financial, investment, or legal advice. Past performance does not guarantee future results. Yields and spreads referenced are approximate and based on historical data._", "url": "https://www.ycombinator.com/launches/PfC-palus-finance-better-yields-on-idle-cash-for-startups-and-smbs", "votes": 70, "created_at": "2026-03-10T07:03:59.246Z" } ] }, { "id": 31127, "name": "Tepali", "slug": "tepali", "former_names": [ "Lotus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcb5281a1d8fc8c7abd51bfa37f6f9919359ac8a.png", "website": "https://tepali.com", "all_locations": "New York City, NY, USA", "long_description": "Tepali is the AI EMR for medspas & wellness clinics. Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.", "one_liner": "AI EMR for medspas & wellness clinics", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772136676, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tepali", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/tepali.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tepali", "x_url": "https://x.com/usetepali", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fcb5281a1d8fc8c7abd51bfa37f6f9919359ac8a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/40e1959bbdc4eee2a158c2c3ec2cbf808444148b.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2883727, "full_name": "Chrisvin Jabamani", "title": "Founder/CEO", "founder_bio": "Co-founder of Tepali (YC W26). Previously scaled operations at Rilla, a vertical AI unicorn. Former investment banking analyst at PJT Partners where I executed $30B in M&A and restructuring. NYU Stern '23.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisvinjabamani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c20b475091e176276378278df4240d81389a6b5.jpg" }, { "user_id": 2145173, "full_name": "Vishnu Pathmanaban", "title": "Founder/CEO", "founder_bio": "Co-founder of Tepali (YC W26). Carnegie Mellon CS. Led engineering at MealPal (Series B), then built the all-in-one POS at Dripos (YC S20), powering thousands of coffee shops.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vishnupathmanaban", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2998b619f3b2c85c535549e18af77a2a8d39a56a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98330, "title": "Tepali: AI EMR for medspas & wellness clinics", "tagline": "Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.", "body": "**Hey everyone!**\n\nWe're Vishnu and Chrisvin, the co-founders of Tepali.\n\n\n\n**TL;DR**\n\nTepali is the AI EMR for medspas & wellness clinics. Front desk, charting, point of sale, and marketing in one system, with an AI employee that books new leads, charts every appointment, and brings past clients back.\n\n**The problem**\n\nA medspa runs on ten to twelve disconnected tools: one for booking, another for charting, another for payments, texting, marketing, and inventory. None of them talk to each other. The gaps between them get filled with the owner's time: missed calls, after-hours charting, and leads that go cold before anyone follows up.\n\nMost of that software was built for salons, before AI. Even the all-in-one platforms digitize the manual work instead of doing it.\n\n**What Tepali does**\n\nFirst, one system for the whole practice: front desk, EMR, point of sale, and marketing. Scheduling, the client record, charts, consent forms, inventory, payments, memberships, and every text, call, and Instagram DM live in the same place.\n\nThen an AI employee that works across all of it, at every stage of the visit:\n\n**Before the visit, it books new leads.** It answers every call and text 24/7. Leads from ads, Instagram DMs, and website forms get a reply in seconds, and it converses with each one until they book a consultation. Every conversation lands in one unified inbox, so your front desk sees the whole thread.\n\n**During the visit, it charts every appointment.** An ambient scribe listens to the treatment and writes a complete, service-specific chart as it happens, so charts are done without taking up provider time. Charting is built for injectables: injection maps on the client's own before photos, consent forms sent automatically, Good Faith Exam tracking, and inventory deducted by unit and lot.\n\n**After the visit, it brings past clients back.** It reaches out to clients who are due for their next treatment, recovers no-shows, fills cancellations from the waitlist, and requests reviews. Checkout fills the cart from the visit, with memberships, packages, gift cards, and card readers at the counter.\n\n![uploaded image](/media/?type=post&id=98330&key=user_uploads/2145173/726ff95e-085c-4c19-8c27-bfeb944afc36)\n\n**Who it's for**\n\nMedspas and aesthetics practices (injectables, lasers, skin), and wellness clinics: IV therapy, medical weight loss, hormone therapy, peptides, and longevity. All are cash-pay medical businesses that need charting, consent, and inventory tracking.\n\n**The team**\n\nWe're best friends who grew up together and have spent our careers inside this exact problem.\n\nVishnu studied CS at Carnegie Mellon and led engineering at MealPal (Series B). At Dripos (YC S20), he built the all-in-one point of sale used by thousands of coffee shops and saw how much a service business changes when its software finally works as one system.\n\nChrisvin studied at NYU Stern and executed $30B in M&A at PJT Partners. He then scaled operations at Rilla, a vertical AI unicorn, where he saw what happens when AI is applied to high-ticket service industries.\n\n**Get in touch**\n\nOwn or operate a medspa or wellness clinic? Book a demo → [tepali.com](http://tepali.com)\n\nKnow a medspa owner? Intro us → [founders@tepali.com](mailto:founders@tepali.com)", "url": "https://www.ycombinator.com/launches/PZy-tepali-ai-emr-for-medspas-wellness-clinics", "votes": 12, "created_at": "2026-03-02T13:13:53.102Z" } ] }, { "id": 31128, "name": "Cumulus Labs", "slug": "cumulus-labs", "former_names": [ "Cumulus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a985c19aae7a6332fcfc82b7724dd2f4276053d2.png", "website": "https://cumuluslabs.io", "all_locations": "San Francisco, CA, USA", "long_description": "Cumulus Labs lets engineering teams ship AI in production without needing a dedicated ML platform team. Right now, companies building AI products are forced to stitch together separate vendors for routing, observability, evaluation, fine-tuning, and inference. This fragmented approach is brittle, expensive, and is a common reason enterprises fail with AI. \r\n\r\nWe replace that entire stack with a single unified platform. Developers can keep their existing code while instantly upgrading to a unified platform that handles routing, semantic caching, continuous shadow evaluation, simulated data, and one-click fine-tuning. \r\n\r\nBehind the platform is Ion, our proprietary inference engine running on a custom NVIDIA Grace GPU fleet. Ion uses in-house custom GPU kernels to deliver 30 to 50 percent more throughput than standard vLLM or SGLang, giving our customers SOTA inference economics.", "one_liner": "The Fastest Multimodal Inference OS", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1768427687, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "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": "been building robots together since we were 7\r\n\r\n![uploaded image](/media/?key=user_uploads/3182820/83506448-2b7e-4c23-b2b4-2fa9392fb1f4)\r\n\r\n" } ], "url": "https://www.ycombinator.com/companies/cumulus-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cumulus-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cumuluscomputelabs/", "x_url": "https://x.com/CumulusLabsIO", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a985c19aae7a6332fcfc82b7724dd2f4276053d2.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": 3182820, "full_name": "Veer Shah", "title": "Founder/CEO", "founder_bio": "Veer studied Computer Science at the University of Wisconsin—Madison, graduating in December 2025. During college, he worked at an aerospace startup where he led a Space Force SBIR contract for military satellite communications and contributed to several NASA SBIR programs, two of which were commercialized and are currently being flight tested in space. Before college, he captained his FIRST Robotics Team 5422: Stormgears, qualifying for Worlds all four years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/veer-shah-62aa8526a/", "x_url": "https://x.com/VeerCumulus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/14641c5aafe5fe4f4de8632583b7f289dd169ac9.jpg" } ], "jobs": [ { "id": 99054, "title": "Founding Engineer — ML Platforms Engineer", "url": "https://www.ycombinator.com/companies/cumulus-labs/jobs/xfY8M84-founding-engineer-ml-platforms-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $300K", "equity_range": "1.00% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Distributed Systems", "Software Architecture" ] } ], "news": [], "launches": [ { "id": 96856, "title": "Cumulus Labs ☁️ | Supercharge Your Training & Inference", "tagline": "Meet Cumulus, the GPU cloud where you’re charged by physical resource usage for 50-70% savings.", "body": "## **TL;DR**\n\nCumulus is a performant GPU cloud that preemptively optimizes your training and inference workloads across our global supply of multi-tenant clusters. The result: we **save you 50-70%** through charging by physical resources used, provide faster inference with ultra-low cold starts, and ensure zero time spent debugging infrastructure.\n\n**Ask**: If you’re training models or serving inference workloads, frustrated with GPU costs and performance, let us optimize your **LLMs, LoRAs, vision models, and more.**\n\n**Website:** \\\n**Docs:** \n\nLaunch Video: \n\n## **The Problem**\n\nAI teams are bleeding money and time on GPU infrastructure:\n\n* **Massive waste**: Teams pay for idle GPUs sitting at 30-40% utilization because scaling is unpredictable\n* **Infrastructure hell**: Engineers spend weeks configuring Kubernetes, debugging OOM errors, and managing failovers instead of building models\n* **Cold start latency**: Inference workloads take 10-30+ seconds to spin up, killing user experience\n* **Vendor lock-in**: Once you commit to a cloud provider, switching costs make it nearly impossible to optimize for price or performance\n* **Skyrocketing costs**: Companies burn through runway 2-3x faster than planned because GPU bills spiral out of control\n\nEvery hour debugging infrastructure is an hour not spent improving your models. Every dollar wasted on idle GPUs is a dollar not spent on growth.\n\n---\n\n## **The Solution**\n\n**Cumulus is a GPU optimization layer that makes compute cheap, fast, and invisible.**\n\nWe aggregate compute from everywhere—big cloud providers, trusted data centers, individual hosts—into a single unified pool. Then we do three things no one else does:\n\n# **1. Predictive Packing & Live Migration (Training/Fine-tuning)**\n\nYour training jobs are intelligently packed alongside other workloads to maximize GPU utilization. As your job runs, we predict resource usage and **live-migrate you to faster or cheaper clusters** without interruption. No more paying for an entire H100 when you only need 40% of it.\n\n# **2. Execution State Capture & Global CDN (Inference)**\n\nWe capture your model's live execution state (VRAM, memory, loaded weights) and replicate it across our global compute CDN. When a request comes in, we serve from the closest cluster with **ultra fast cold starts**—no more waiting 30 seconds for a job to spin up. We have tested with **LLMs, vision models, LORAs, and many others.**\n\n# **3. Intelligent Scheduling & Auto-Recovery**\n\nOur scheduler constantly monitors your jobs, diagnoses failures, and auto-recovers without manual intervention. The Cumulus prediction system learns your usage patterns over time and pre-allocates resources before you need them.\n\n**The bottom line:** _You write 20 lines of config. We handle everything else._\n\nOur Demo: \n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/fbef3bec-137d-4275-8433-8a1ccfad47a5)\n\n(winning the science fair in 4th grade for a robot that solved Rubik’s cubes)\n\n**Veer Shah** (Founder)\\\nLed a Space Force program and worked on ML workloads at an aerospace startup supporting NASA missions, where infrastructure needed to be both performant and secure. \n\n**Suryaa Rajinikanth** (Founder)\\\nBuilt custom GPU compute solutions at TensorDock, then moved to Palantir where he built critical infrastructure for the US Government. Deep expertise in distributed systems and resource optimization.\n\nWe met as third graders and have been building together our whole lives. We've seen the GPU infrastructure problem from both sides: Suryaa from the provider side at TensorDock, Veer from the customer side running mission-critical ML workloads. We started Cumulus Labs because we knew exactly what the industry needed—and no one was building it.\n\n## **What We're Looking For**\n\n**If you're training models or serving inference workloads**, frustrated with vendor lock-in, or simply paying too much for your GPUs, reach out.\n\n**Know AI/ML teams experience any of these issues?** Connect them with us.\n\nWe optimize LLMs, LoRAs, vision models, and more.\n\nWe'd love your feedback on which features matter most.\n\n---\n\n## **Get In Touch**\n\nJoin the waitlist: \\\nContact us: [founders@cumuluslabs.io](mailto:founders@cumuluslabs.io)\\\nBook a demo: [Here](https://calendar.app.google/NepPaCiZxCTM9vyUA)\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\n---\n\nHuge thanks to partners, our batch-mates, and everyone who's helped so far.\n\nLet's make AI infrastructure invisible.\n\n— Veer, Suryaa, and the Cumulus team\n\n![uploaded image](/media/?type=post&id=96856&key=user_uploads/3177002/3045bccb-ce6f-4d07-b8dd-37c34772ce14)\n\n", "url": "https://www.ycombinator.com/launches/PCC-cumulus-labs-supercharge-your-training-inference", "votes": 41, "created_at": "2026-01-16T07:57:30.095Z" } ] }, { "id": 31129, "name": "Verdex", "slug": "verdex", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f35f0d4e2a885cb8f0c3f1b37d3a0f972156d53.png", "website": "https://www.verdexai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Verdex is an AI insurance adjuster. We use data streams like satellite imagery to verify claims, allowing insurers to process it immediately and save billions of dollars. We are currently helping insure over 11% of all American farmland.", "one_liner": "AI Verification for Insurance", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1768239774, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/verdex", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/verdex.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/verdexai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f35f0d4e2a885cb8f0c3f1b37d3a0f972156d53.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": 2724316, "full_name": "Jad Bousselham", "title": "Founder/CEO", "founder_bio": "Math + CS @ Dartmouth, where I built the world's best soybean yield prediction model using satellite imagery.\nMade in Morocco", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jad-bousselham/", "x_url": "https://x.com/jadbousselham", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae2c2d26bbc64f3559dfc58546df2e64277daeeb.jpg" }, { "user_id": 2975522, "full_name": "Evan Rankin", "title": "Founder/CTO", "founder_bio": "Dartmouth BA BE - Engineering | Building an AI Insurance Adjuster", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evan-rankin-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/745da8b590689429d2a1cc2d441a6e93b5347ad1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98232, "title": "Verdex: Satellite Imagery Verification for Insurance", "tagline": "Helping insurers verify claims without leaving their desks", "body": "Hi everyone, we’re Evan and Jad — two Dartmouth grads building Verdex.\n\n**TL;DR:** Verdex replaces manual inspections in insurance with real-time digital audits. We use high-resolution satellite imagery to help insurers verify and settle claims without ever leaving their desks, starting with crop insurance.\n\n\n\n### The Problem\n\nCrop insurers worldwide spend over **$5 billion every year** on a single manual task: verification.\n\n* Today, insurers cannot verify a claim without physically sending an adjuster to a field.\n* This manual process is so slow and labor-intensive that it consumes nearly **10% of every premium dollar** collected globally.\n* As extreme weather events increase, the volume of claims is skyrocketing, making the current adjuster model completely unscalable.\n\n### The Solution\n\nVerdex allows insurers to monitor every field on earth in real time.\n\n* We combine high-resolution satellite imagery with local weather models to interpret field-level conditions with precision.\n* Instead of waiting weeks for a field visit, insurers can verify the insured asset in seconds and settle the claim instantly. This means insurers aren’t scrambling to dispatch adjusters, and policyholders get paid on the spot.\n* Last month, major regulators such as the USDA updated their guidelines to allow for satellite-based remote verification.\n\nWe are already live with one of the largest crop insurers in the US, helping them insure **100+ million acres** — that’s over **11% of all farmland** in the US. But insurance is more than just crops — our vision is to be the data and interpretability layer for any insurable asset you can see from space. We’re building the infrastructure to automate the verification process across insurance sectors like agriculture, property, and energy.\n\n### Our Ask\n\nWe are looking for intros to insurers in agriculture, property, and energy.\n\nIf you have a lead or want to see a demo, reach out at [**founders@verdexai.com**](mailto:founders@verdexai.com)!", "url": "https://www.ycombinator.com/launches/PYO-verdex-satellite-imagery-verification-for-insurance", "votes": 11, "created_at": "2026-02-27T17:45:29.532Z" } ] }, { "id": 31130, "name": "AutoSitu", "slug": "autositu", "former_names": [ "MirageDoodle, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e152edb1a93ed2437635e5b7630e93b7466a400.png", "website": "https://autositu.com/", "all_locations": "", "long_description": "At AutoSitu, we’re building the AI operating system for the built world—coordinated AI agents that work across development, design, review, and construction.\r\n\r\nOur agents analyze complex plans, requirements, and project documentation in minutes—surfacing critical issues, doing the heavy lifting, and escalating the decisions that require human expertise.\r\n\r\nFrom site feasibility and entitlement risk to QA/QC, code compliance, constructability, quantity takeoff, and scope analysis, AutoSitu helps cities, architects, engineers, developers, and construction teams identify problems earlier and move projects forward with greater speed and confidence.\r\n\r\nWe serve as a strategic AI partner to forward-thinking public agencies and AEC organizations across the country and are backed by Y Combinator (W26).", "one_liner": "The AI operating system for the built world", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1765384359, "tags": [ "Real Estate", "Construction" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autositu", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/autositu.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/autositu", "x_url": "https://x.com/autositu", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e152edb1a93ed2437635e5b7630e93b7466a400.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2244794, "full_name": "George Zhai", "title": "Founder/CEO", "founder_bio": " A Georgia Tech graduate, he has worked on autonomous cars, boats, and robotic systems, consistently pushing the boundaries of autonomy. George is known for rapidly engineering novel, highly cost-effective solutions—bridging advanced AI with real-world applications from self-driving vehicles to scalable automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-zhai-213373141/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf0e4132604adf2118f1615ebdb01200d627e35d.jpg" }, { "user_id": 2679474, "full_name": "Xuanshu (Asher) Lin", "title": "Founder/CEO", "founder_bio": "Lin combines a background in Urban Planning and Architecture from the University of Michigan, bringing policy insight and design expertise to AutoSitu. He leads product strategy focused on zoning and site plan compliance, with hands-on experience across projects in Champaign–Urbana and Detroit’s Joe Louis Greenway. An APA Planning and Design Competition Honorable Mention recipient, Lin works to make compliance faster, clearer, and more accountable.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linxis01/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee2422c34e717053bb0930aa325aac8545fb9e55.jpg" } ], "jobs": [ { "id": 97187, "title": "Founding Engineer - Arkhe", "url": "https://www.ycombinator.com/companies/autositu/jobs/CvB6tcr-founding-engineer-arkhe", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript", "Distributed Systems" ] } ], "news": [], "launches": [ { "id": 97122, "title": "AutoSitu: AI-native Development Plan Review for Faster Approvals", "tagline": "Pre-validates submissions against jurisdiction requirements and patterns so teams submit cleaner sets and cities review faster", "body": "**TL;DR:** Hi YC! We’re Lin and George, founders of AutoSitu. We’re building software that automatically reviews site and building plan sets in minutes and surfaces what a city is likely to flag before you submit.\n\n**🧱 Problem**\\\nIn real estate, _time kills deals_ — and permitting/review is one of the biggest sources of delay and variance.\\\nMost projects go through **2–3 resubmittal cycles**, adding **3–9 months**.\n\n* Developers: **$50k–$250k+** in carrying costs while projects sit in review\n* Architecture teams: **80–200 hours** of unplanned work per resubmittal\\\n → at **\\~$130/hr**, that’s **$10k–$25k+** of margin erased on fixed-fee work 🐌\n\n**⚡ Solution**\\\nAutoSitu is an AI-powered development plan review engine that flags the issues that typically surface later — **before submission**, when fixes are cheap.\n\nTeams use AutoSitu to:\n\n* reduce city comments **50–70%**\n* cut resubmittals from **2–3 → 0–1**\n* shorten approvals by **3–6 months+**\n\n**💰 Impact**\\\nThat’s **$100k–$400k** in avoided carrying costs for developers and **$10k–$25k** in preserved fee margin per project for architecture teams.\n\n👋 **Backstory**\\\nLin worked across **20+ U.S. public and private projects** in planning and architecture, sitting on **both sides of the table**, and repeatedly hearing the same question from teams and clients: _why does review take so long when the issues are so predictable?_\n\nGeorge spent years building automation systems in robotics and AI, turning processes that took **weeks of manual effort** into scalable pipelines, cutting costs from **$50k to $2k** while keeping humans in the loop.\n\nAutoSitu started from a shared realization: permit review isn’t slow because people aren’t trying, it’s slow because the same checks are repeated manually, at scale, with no early signal.\n\n[🎥 **Launch Video**: https://youtu.be/77ErS3Ja4Ho](https://youtu.be/77ErS3Ja4Ho)\n\n🤝 **Ask / CTA**\n\nIf you’re an **architecture/development** team, we’d love to **apply the same playbook from our successful deployments** to your next submission, we’ll help you run AutoSitu end-to-end on a real plan set.\n\n**Reach us** at [**founders@autositu.com**](mailto:founders@autositu.com) or [DM](https://www.linkedin.com/company/autositu).\\\n**Visit us: [https://autositu.com/](https://autositu.com/)**\n\n![uploaded image](/media/?type=post&id=97122&key=user_uploads/2679474/04e7826b-9b84-4745-9714-a57ac24f95d1)\n\n", "url": "https://www.ycombinator.com/launches/PGU-autositu-ai-native-development-plan-review-for-faster-approvals", "votes": 6, "created_at": "2026-01-26T21:00:55.911Z" } ] }, { "id": 31131, "name": "Zatanna", "slug": "zatanna", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d44e6f61cb5ed4a97d1177fa88df6f8b04c87366.png", "website": "https://www.zatanna.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Zatanna creates APIs for software that doesn't have any, by reverse engineering back ends of web-based cloud and on-prem software. ", "one_liner": "Turning all software into agent-first APIs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1770919305, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zatanna", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/zatanna.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108413116/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d44e6f61cb5ed4a97d1177fa88df6f8b04c87366.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1805672, "full_name": "Tarun Vedula", "title": "Founder/CEO", "founder_bio": "CEO @ zatanna | uw madison ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tarunvedula/", "x_url": "https://x.com/TarunVedula", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9edff7d3b9fc114c8752be393ec742bd85c5c606.jpg" }, { "user_id": 2956000, "full_name": "Alex Blackwell", "title": "Founder/CTO", "founder_bio": "CTO @ Zatanna (w26). Prev at Pikkit bypassing anti-bots", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-blackwell-506228206/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aeb37b409c895d9191052003be6ba835312e06dd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98664, "title": "Zatanna | APIs for AI agents", "tagline": "Zatanna creates faster, cheaper, and more reliable APIs for AI agents", "body": "Hey YC!\n\nWe’re [Rithvik](https://www.linkedin.com/in/rithvik-vanga-0824a5225/), [Alex](https://www.linkedin.com/in/alex-blackwell-506228206/), and [Tarun](https://www.linkedin.com/in/tarunvedula/), the team behind [Zatanna](https://www.linkedin.com/company/usezatanna/).\n\n**TL;DR:** Today, most AI companies rely on slow, brittle, and unreliable computer-use agents to interact with software that has no API.  Zatanna solves this with faster, cheaper, and more reliable APIs for AI agents by reverse engineering requests and taking care of antibot infrastructure. \n\n[Video Link](https://www.youtube.com/watch?v=HUCOKVn-atM)\n\n**The Problem:**\n\nA huge amount of valuable business software still has no usable API. So when AI companies need their agents to interact with ERPs, PMS systems, portals, marketplaces, or other operational websites, they often fall back to browser automation.\n\nThat means the agent is stuck looking at screens, clicking buttons, waiting for pages to load, dealing with logins, handling UI changes, and breaking every time the workflow shifts. It is fine for showing that something is possible. It is terrible when the workflow actually matters.\n\nTeams end up spending an absurd amount of engineering time maintaining brittle browser automations instead of building product and serving customers.\n\n**The Solution:**\n\nZatanna runs these workflows at the request layer.\n\nWe observe how a workflow works once, reconstruct the underlying request sequence, and host it as a clean API that any agent can call. Instead of navigating a browser, the agent just hits an endpoint.\n\nThat makes the workflow:\n\n* faster\n* cheaper\n* more reliable\n* much easier to maintain at scale\n\nWe also handle the painful infrastructure required to keep these workflows alive in production:\n\n* session and credential management\n* request sequencing\n* proxy networks and traffic distribution\n* retries, monitoring, and recovery\n\nToday we’re already supporting customers where either throughput or reliability is mission-critical, from high-volume consumer platforms to operationally sensitive industries like logistics.\n\n**Where we’re seeing this most:**\n\n* ERPs like SAP\n* PMS / POS systems\n* insurance/benefits/claims portals\n* marketplaces(checkout flows)\n* operational websites with no APIs\n* basically anywhere the current solution is scraping or browser automation\n\n**Why we’re doing this:**\n\nWe started in vertical AI and ran into this problem ourselves. The model layer kept getting easier. Software access was the real bottleneck. A huge amount of engineering effort went into keeping integrations alive instead of improving the actual agent.\n\nSo we decided to build the thing we wished we had.\n\n**What we’re looking for:**\n\nIf you’re building something that depends on browser automation or computer-use agents for integrations, especially where reliability, speed, or cost matter, we’d love to take a look at the workflow.\n\nBook a call [here](https://zatanna.cal.com/tarun/30min?user=tarun&overlayCalendar=true) or email [**tarun@zatanna.ai**](mailto:tarun@zatanna.ai)", "url": "https://www.ycombinator.com/launches/PfM-zatanna-apis-for-ai-agents", "votes": 11, "created_at": "2026-03-10T17:01:30.330Z" } ] }, { "id": 31132, "name": "MouseCat", "slug": "mousecat", "former_names": [ "Agnostic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/71e74a47767755403f90f1778ab3ab410649c82e.png", "website": "https://www.mousecat.ai", "all_locations": "New York City, NY, USA", "long_description": "MouseCat enables companies to detect suspicious activity, automate investigations, and act before the money leaves.\r\n\r\nWe work with Fortune 500 companies and startups to deploy real-time models and AI agents that reduce fraud, compliance incidents, and friction for good customers. ", "one_liner": "AI to fight financial crime", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769108383, "tags": [ "Compliance", "Fraud Detection" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mousecat", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mousecat.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mousecat", "x_url": "https://x.com/MouseCatAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mousecat", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/71e74a47767755403f90f1778ab3ab410649c82e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5ec2f1ad71792d8eacc2adeab69c2ad82fee3f9d.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 339225, "full_name": "Nicholas Aldridge", "title": "Founder/CEO", "founder_bio": "Nicholas Aldridge is the Co-Founder and CEO of MouseCat, and a core maintainer of MCP. He spent 6.5 years as a Principal Engineer at AWS AI, where he helped launch and lead Amazon Bedrock Knowledge Bases, Agents, and AgentCore. He also represented Amazon on the A2A steering committee. Nicholas has helped some of the largest and most security and privacy sensitive organizations in the world to plan and implement their AI strategies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholas-aldridge-341162a4/", "x_url": "https://x.com/nickaldridge_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80b8bc031a06a83d6780bdce207e3a32ba77a9a3.jpg" }, { "user_id": 730542, "full_name": "Joseph McAllister", "title": "Founder/CTO", "founder_bio": "Joseph McAllister is the Co-Founder and CTO of MouseCat. Before MouseCat, Joseph spent 4 years building systems that power every risk decision at Coinbase. He focused on streaming pipelines, large-scale data processing workloads, and improving ACH and ATO risk models. While studying Computer Science at Cornell University, he founded Roo Storage, which was acquired in 2020 by Handled (now UniGroup).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-mcallister/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f259307f32410bc8099721c3843b0f5f26ec23e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98387, "title": "MouseCat 🐭🐱 AI-Powered Fraud Investigations", "tagline": "MouseCat does human-quality fraud investigation at scale", "body": "# **TL;DR**\n\n**MouseCat uses AI agents to do human-quality fraud investigation at scale**. MouseCat integrates with your proprietary data, learns from your feedback and past cases, and runs continuously, not just at transaction time.\n\n**Ask:** If you or someone you know is struggling with label quality or time-to-mitigation for new fraud trends, visit [mousecat.ai](http://mousecat.ai) to book a demo!\n\n\n\n# **❌ The Problem**\n\nMost businesses rely on a combination of rules, traditional ML models, and manual review to stop fraud. This creates three major pain points. These systems:\n\n1. Adapt slowly to new fraud trends\n2. Are designed for point-in-time review and not continuous analysis of risk\n3. Result in a high number of false positives when patterns change, leading to lost revenue\n\nAs AI makes it easier to commit fraud, these gaps are leading to an explosion in losses.\n\n# **🐭🐱 Our Solution**\n\nMouseCat is dedicated to building the best AI platform for fraud investigation.\n\nMouseCat's agents conduct fraud investigation like a human would. They review internal case information, search for additional details from databases, APIs, etc., refer to prior cases for context, and distill the most important evidence needed to make a decision. MouseCat uses its insights to identify fraud rings and propose mitigations with new backtested rules/features.\n\nWith MouseCat, companies get:\n\n1. **Continuous Improvement:** Agents that continuously improve based on past cases and analyst feedback.\n2. **Continuous Review:** Post-transaction analysis to spot and mitigate fraud trends faster.\n3. **Custom Integration and Data Ownership:** On-prem deployments that integrate with customers’ existing data sources and APIs.\n\nPlus, MouseCat handles production hurdles like evaluation, monitoring, distributed failures / retries, and more.\\\n\\\nImagine if your best analyst could investigate every transaction...\n\n![uploaded image](/media/?type=post&id=98387&key=user_uploads/339225/c8837552-a055-4144-825d-68178cefa4b5)\n\n# **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Can you introduce us to folks on fraud teams at banks / fintechs / marketplaces?\n* Are you leading a fraud team? You can book a demo at: [mousecat.ai](http://mousecat.ai).\n\n👉 Contact us at [hello@mousecat.ai](https://hello@mousecat.ai)\n\nYour help can make a huge difference. **Thank you!**\n\n# 👥 **Our Team**\n\nNick and Joe have been friends for six years and co-founded MouseCat earlier this year. They bring deep expertise in both AI and fraud detection systems.\\\n\\\nNick Aldridge (CEO) is one of nine Core Maintainers of the Model Context Protocol (MCP), and was a Principal Engineer at Amazon where he led products like Bedrock Knowledge Bases and AgentCore. Nick earned his BA/MS in Mathematics and Computer Science from the University of Chicago.\\\n\\\nJoseph McAllister (CTO) worked on ML infrastructure and fraud detection models at Coinbase, and he sold his first startup while studying CS at Cornell University.\n\n![uploaded image](/media/?type=post&id=98387&key=user_uploads/339225/9b2c6773-24cd-4502-806c-2776e434a183)\n\n", "url": "https://www.ycombinator.com/launches/Pat-mousecat-ai-powered-fraud-investigations", "votes": 20, "created_at": "2026-03-03T07:13:58.567Z" } ] }, { "id": 31133, "name": "Skillsync", "slug": "skillsync", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cbaacf18216a2c670dfe6e49d4332b592214780.png", "website": "https://skillsync.com", "all_locations": "San Francisco, CA, USA", "long_description": "Skillsync gives you one place for everything your agents have ever done, and makes all of it portable. Move a full session between Claude Code, Cursor, Codex, and any other agent with nothing lost, including the entire conversation, the model's reasoning, and every tool call, not just a summary, so the next agent picks up like it was there the whole time. Because your sessions are portable, they stack up instead of disappearing. Every past session stays searchable and feeds your next agent automatically, so you never re-explain yourself or redo work you have already done. Everything stays on your machine and nothing leaves unless you choose to send it. Skillsync is local-first and yours, and its core engine, txcript, is open source, a portable session format that no single provider owns.", "one_liner": "Notion for AI chats", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1765356952, "tags": [ "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/skillsync", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/skillsync.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/skillsync-wiki/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cbaacf18216a2c670dfe6e49d4332b592214780.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": 2980881, "full_name": "Narayana Aaditya Ganeshkumar", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Skillsync. I helped take an open-source Rust project from zero to 30k+ GitHub stars and saw firsthand how many world-class engineers are hiding in the long tail of open source. My background is at the intersection of engineering, product, and organizational psychology. Software is a team sport and I'm building Skillsync to bring the best out of engineering teams!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/narayanaaaditya/", "x_url": "https://x.com/narsagna", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/348038e9c3ae2025087a7cc740d6b0e3261ee6b4.jpg" }, { "user_id": 3203680, "full_name": "Nishant Joshi", "title": "Founder/CTO", "founder_bio": "Co-Founder CTO @ SkillSync Inc. | Top 1% Rust dev. Went from building type-safe payment infra to people search. Now fixing how companies find engineers like me.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nishantjosh", "x_url": "https://x.com/nishantjosh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40dcbdecc855a465821362dbf4aa20ffdbf5783b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 112177, "title": "Skillsync: Move your context across every coding agent", "tagline": "Meet Skillsync, your context made portable across Claude Code, Cursor, Codex, and every agent you use.", "body": "👋 We're Nars and Nishant, founders of Skillsync (W26).\n\n**TL;DR:** Skillsync lets you move your context (sessions, memory, and skills) across every coding agent you use, with nothing lost. Start in Claude Code, continue in Codex, sync it with your team. Say it once; every agent & teammate has it.\n\n![uploaded image](/media/?type=post&id=112177&key=user_uploads/2980881/daf33474-9f03-4b30-ae87-d2d5de4efb88)\n\nAI chats are annoying. Your context is trapped inside whatever agent you're using. You plan everything out in the Claude app, then open Claude Code to build, and none of that thinking comes with you. Switch from Claude Code to Cursor or Codex and it's the same story: you start from zero, re-explaining everything. And sharing your best skills with your team means zip files and Slack messages nobody can find.\n\nSkillsync is a **local-first desktop app** that frees your context from any single agent:\n\n* 🔁 **Move a session between agents with nothing lost**, including the full conversation, reasoning, and tool history.\n* 🧠 **KYC: Know Your Context.** Keep your skills and memory in one place, searchable from any agent via MCP.\n* 👥 **Sync your skills across your team**, edit once and everyone stays current. No zip files, no stale copies.\n\nEverything runs on your machine, so your context stays yours.\n\nWe spent years building open source payments infra that connected dozens of payment processors, and scaled it to 30k+ GitHub stars. Making all those systems talk to each other taught us what real interoperability takes.\n\n**One more thing…** \n\nThe hard part, the engine that translates sessions across different agent formats without losing anything, is **open source**. It's written in Rust and it's called **txcript:** . Don't take our word for it: **read the code**.\n\nWe're on a mission to set your context free. If this resonates, try Skillsync at \n\nYou can also reach us at [founders@skillsync.com](mailto:founders@skillsync.com)\n\n![uploaded image](/media/?type=post&id=112177&key=user_uploads/2980881/15b075ff-755b-4bcc-8040-f3a9d58744ec)\n\n", "url": "https://www.ycombinator.com/launches/TBJ-skillsync-move-your-context-across-every-coding-agent", "votes": 7, "created_at": "2026-08-25T17:29:16.975Z" } ] }, { "id": 31135, "name": "RoboDock", "slug": "robodock", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.png", "website": "https://www.robodock.tech/", "all_locations": "San Francisco, CA, USA", "long_description": "RoboDock builds robots that automate depot operations, like charging and vehicle checks, for electric and autonomous vehicle fleets. We turn fleet depots from manual sites into self-running systems that lower operational costs and increase vehicle uptime.", "one_liner": "Robots that run autonomous depots for autonomous fleets.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1769119894, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/robodock", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/robodock.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/robodock-tech/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/robodock", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d6ce96c0e4a1cbd7e0458649e2af7fa551e2bfb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 3028822, "full_name": "Zinny Weli", "title": "Founder/CEO", "founder_bio": "Zinny Weli is co-founder and CEO of RoboDock.\n\nShe previously led autonomous drone charging infrastructure at Zipline and developed the charging system for Amazon’s home robot, while advancing robotic manipulation R&D for next-generation products. Her expertise spans real-world robotic deployment, from perception-driven manipulation to production-scale hardware systems.\n\nZinny holds a BSME from the University of Michigan (top 1%) and an MSME (Robotics) from Stanford University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zinnyweli", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0039cb5b55365da303f8a7705618e0582295f15.jpg" }, { "user_id": 2727198, "full_name": "Celine Wang", "title": "Founder/CTO", "founder_bio": "Celine Wang is the co-founder and CTO of RoboDock. \n\nPreviously, she was a senior mechatronics engineer at Plus, integrating actuator and sensor systems to enable autonomous semi-trucks. Her background includes deep field engineering across rural Indonesia, UNESCO heritage sites in Peru, and wildlife reserves in China. She holds B.S. and M.S. degrees in mechanical engineering from Stanford and brings a builder’s mindset shaped by years of deploying complex systems.\n\nwww.celinewang.me", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/celinewang16/", "x_url": "https://x.com/nicenewgal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/667c8724147a8dd0b061978f60c1546417ae464b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97957, "title": "RoboDock: Autonomous Depots for Autonomous Fleets", "tagline": "Robots that automate depot operations for AV fleets.", "body": "**TL;DR:** Autonomous vehicles are scaling fast, but the depots that charge, inspect, and operate them are still manual. RoboDock automates charging and vehicle inspections so fleets can finally be end-to-end autonomous.\n\n\n\n🚧 **The problem**\n\nAutonomous vehicles are no longer the bottleneck. **Infrastructure is.**\n\nBy 2035, there will be \\~76M autonomous vehicles globally, and the AV market is expected to grow from \\~$200B today to \\~$3T.\n\nYet the depots that power these fleets are still manually run. If you were to go watch one, you’d be shocked at how many people it takes to maintain the vehicles.\n\nToday, AV and EV fleet depots rely on people to:\n\n* Plug and unplug vehicles into chargers\n* Catch missed or failed charge events\n* Manually inspect vehicles before and after deployment\n* Maintain road-readiness under tight turnaround times\n\nThis breaks the autonomy loop.\n\nThe pain these fleets experience?\n\n* \\~$900k per depot per year in charging labor and overhead\n* Redundant chargers and vehicles to compensate for human error\n* 2–3 year timelines and $8M+ CapEx just to build new depots\n* Vehicle downtime from missed issues and reactive maintenance (up to $650k per depot per year) → less time making money on the road\n\n**Autonomous fleets can drive themselves, but they still can’t operate themselves.**\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/c431cd46-f80c-45da-982a-55bbc39ea137)\n\n✅ **The solution**\n\n**RoboDock is building autonomous depots for autonomous fleets.**\n\nWe deploy a robotic system that:\n\n* Physically plugs vehicles into chargers\n* Verifies successful charge initiation\n* Performs automated post-trip vehicle inspections every time a vehicle returns\n\nOur system works with **existing depots, existing chargers, and any vehicle type**. No layout changes and no rebuilds necessary.\n\nCharging and inspections become:\n\n* Fully autonomous\n* Safe and consistent\n* Closed-loop and self-optimizing\n\nWe’re turning depots from manual cost centers into **self-running infrastructure.**\n\n**🧠 Why RoboDock**\n\n* **Hardware-first autonomy**: We automate the physical work that actually limits fleet scale\n* **Robotic charging**: No humans, no missed plugs, no idle vehicles\n* **Safety-first inspections**: Vision + thermal sensing catch issues humans can’t see consistently\n* **Retrofit, not rebuild**: Deploy into live depots with zero operational disruption\n* **Designed for scale**: Every vehicle, every return, every day improves the system\n\nThis is how autonomy actually becomes autonomous.\n\n**👩🏾‍🔧👩🏻‍💻 Our team**\n\nWe’ve spent our engineering careers building real-world autonomy. We met seven years ago at Stanford, when Zinny was Celine’s TA.\n\n**Zinny Weli — CEO & Co-Founder**\n\nLed design and deployment of autonomous charging systems for electric drones at Zipline, and designed the charging system for Amazon's first home robot and its advanced robotics manipulation platform.\n\n**Celine Wang — CTO & Co-Founder**\n\nFormer vehicle platform engineer at Plus, where she retrofitted autonomous systems onto semi-truck fleets by integrating mechanical, electrical, and software stacks end-to-end. \n\nTogether, we bring deep experience deploying autonomy where it actually breaks: the real world.\n\n![uploaded image](/media/?type=post&id=97957&key=user_uploads/2727198/78d912fd-def0-446f-91a6-d14d86babb5b)\n\n**🙏 Our ask**\n\nWe’re onboarding early pilot partners and would love introductions to:\n\n* AV & EV fleet operators\n* Infrastructure, parking, and depot operations team\n* Ports, logistics yards, and large fleet facilities\n* Hardware and systems minded investors thinking about autonomy at scale\n* Robotics/computer vision engineers\n\nIf you’re thinking about how fleets operate, we should talk! Email [zinny@robodock.tech](mailto:zinny@robodock.tech) or [celine@robodock.tech](mailto:celine@robodock.tech).", "url": "https://www.ycombinator.com/launches/PTx-robodock-autonomous-depots-for-autonomous-fleets", "votes": 13, "created_at": "2026-02-19T15:09:01.755Z" } ] }, { "id": 31136, "name": "Scheduling Wizard", "slug": "scheduling-wizard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a941d8028fafa95dd706134a19099c733b0726ff.png", "website": "https://www.schedulingwiz.com", "all_locations": "Washington, DC, USA", "long_description": "Scheduling Wizard is building the logistics infrastructure to modernize healthcare operations. Hospitals still rely on manual workflows to manage staffing, patient flow, and core operations, contributing to $760B in annual inefficiency.\r\n\r\n20 departments across 16 hospitals already outsource their physician scheduling to us, powered by our internal Scheduling Programming Language and AI-driven workflows. We work with Mass General, Johns Hopkins, UT Southwestern, UCSF, and many others.\r\n\r\nWe are actively onboarding new clients and expanding into patient triaging and provider management systems, working with partner departments at UCSF and other leading institutions. Scheduling Wizard aims to bring healthcare operations into the future by reducing administrative burden and improving clinical care coordination. Our goal is to create the AI-native administrative layer in healthcare operations.", "one_liner": "Logistics infrastructure to modernize healthcare operations", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1773244975, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/scheduling-wizard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/scheduling-wizard.json", "year_founded": 2024, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scheduling-wizard/", "x_url": "https://x.com/scheduling_wiz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a941d8028fafa95dd706134a19099c733b0726ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1953821, "full_name": "Samuel Oberly", "title": "Founder/CEO", "founder_bio": "Johns Hopkins and Cambridge trained Mathematician. Building the algorithms that will drive the future of healthcare administration and resource allocation. \n\nI am an award-winning and published mathematician, including a civilian service medal for my logistics algorithms built while working for the Department of Defense. I received four degrees in my four years at Johns Hopkins and have deep expertise in algorithm development. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-oberly", "x_url": "https://x.com/samob917?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20692683e7e15a10e25d719c4dc1643db5164ebd.jpg" }, { "user_id": 1803021, "full_name": "Zachary Dermody", "title": "Founder/COO", "founder_bio": "Co-Founder and COO of Scheduling Wizard. Johns Hopkins University, 2024. B.A. in Economics with a minor in Computer Science. Former logistics roles at Amazon and McMaster-Carr. Interested in technology, philosophy, and building the future.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zachary-dermody-41238a202", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72dfe69c6cc27a8c903180d5e7d0c71bd1be6ee6.jpg" }, { "user_id": 2098854, "full_name": "Abdelrahman Hamimi", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Scheduling Wizard | MS, BS Computer science and BA Economics from Johns Hopkins University (2025) | AWS Cloud Solutions Architect Certified", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abdelrahman-hamimi-2064ab202/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83fbf613e35f76cea2fef12cc2a811617aa9a921.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98711, "title": "Scheduling Wizard: Logistics infrastructure to modernize healthcare operations", "tagline": "Beginning with physician scheduling and care coordination", "body": "Hey YC! We’re Ab, Sam and Zac.\n\n**We are building the logistics infrastructure to modernize healthcare operations, beginning with physician scheduling and care coordination, to combat rampant inefficiencies in healthcare.**\n\n[**https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS**](https://youtu.be/SXIaP6D1PJo?si=ERtC2Uq2_l92gqbS)\n\n**Our Beginning:**\n\nThis all began when a doctor at Johns Hopkins told us that residents and attending physicians spend **hundreds of hours** each year scheduling. Thus began our **physician** **scheduling service**. \n\nWe built an internal **Optimization Programming Language** that lets us create complex schedules far faster than traditional methods. Our clients now review schedules we build, rather than spend hundreds of hours manually creating them.\n\nThrough our scheduling, we have built trust in healthcare logistics across major academic health systems with active contracts at **Mass General**, **Johns Hopkins**, **UT Southwestern**, **LA General**, **UCF** and more! We are actively growing and onboarding new partners.\n\n**Revelations I:**\n\nThese relationships revealed that healthcare administration, more generally, is unbelievably manual, disjointed, and inefficient. That’s why we have expanded our scope to tackle clinical care coordination. We have separated clinic operations into two segments: **The Patients**, and **The Resources**. \n\n**The Patients:**\n\nThe patient journey at most clinics begins with a referral process that leads to a triaging bottleneck before a patient can be seen. Only once this is complete can the complex systems for evaluation and treatment tracking begin.\n\n**The Resources:**\n\nManaging and tracking personnel, rooms, and time is difficult for even the best administrative teams.\n\n**The Secret**\n\nThe problem with healthcare is not on the demand side, it is on the supply side. **Care coordination is the bridge between patient needs and hospital resources.**\n\n**Revelations II:**\n\nWith our design partners at **UCSF and other major healthcare systems**, we are building patient triaging and provider management systems to improve and automate care coordination, while reducing administrative burden.\n\nWe aim to modernize healthcare operations. As our partnerships grow and our scope expands, we will become the key player in **bringing healthcare operations into the future.**\n\n**The Team**\n\nWe are a team of award-winning mathematicians, computer scientists, and logistics experts from Johns Hopkins University.\n\nOur CEO, **Sam Oberly**, is an expert in predictive logistics with a civilian service medal for his logistical coordination algorithm development. He is a published mathematician, trained at Hopkins and Cambridge. ()\n\nOur CTO, **Abdelrahman Hamimi**, is an AWS certified cloud solutions architect who built internal automation software at GEICO used internally across multiple departments. He graduated from Hopkins with an MS and a BS in computer science, and a BA in Economics. His entire immediate family are doctors. ()\n\nOur COO, **Zachary Dermody**, has boots-on-the-ground experience in logistics management at Amazon and McMaster-Carr. He studied economics and computer science at Hopkins, and his mother is a practicing physician. ()\n\n**Reach us at [founders@schedulingwiz.com](mailto:founders@schedulingwiz.com)**", "url": "https://www.ycombinator.com/launches/Pg7-scheduling-wizard-logistics-infrastructure-to-modernize-healthcare-operations", "votes": 13, "created_at": "2026-03-11T18:24:05.215Z" } ] }, { "id": 31137, "name": "Luel", "slug": "luel", "former_names": [ "Vidcoin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b08b4ca96925b2e8c409dfbed108a0b4f3808348.png", "website": "https://luel.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Luel is a sourcing and licensing platform for rights-cleared multimodal training data at scale. We work with frontier AI teams to provide high-quality bespoke data collections and off-the-shelf datasets.", "one_liner": "Turning everyday words and actions into usable training data.", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1763965677, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/luel", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/luel.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/luel/", "x_url": "https://x.com/LuelCompany", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b08b4ca96925b2e8c409dfbed108a0b4f3808348.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3146480, "full_name": "William Namgyal", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO, Luel | Berkeley MET Dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william-namgyal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e57c7a45407d2a26f2e0c990b6e65cda2294de6.jpg" }, { "user_id": 3103486, "full_name": "Inigo Lenderking", "title": "Founder/COO", "founder_bio": "Co-Founder & COO, Luel | Berkeley CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/inigolenderking/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cf0de085b45825602aa22a95a7785ab3e558ae2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97387, "title": "Luel: The Marketplace for Multimodal Data", "tagline": "Mobilizing Global Contributors to Curate High-Quality Datasets for Production AI", "body": "**William** and **Inigo** here - Co-Founders at **Luel (YC W26)**.\n\n**_Luel is a rights-cleared data marketplace + collection engine_**. Our difference is speed and edge cases: AI enterprises request datasets to spec, we mobilize a global contributor network, and deliver licensed, audit-ready data within days.\n\n[Luel Launch Video](https://www.youtube.com/watch?v=n_ByLVl38w8)\n\n**The Problem**\\\n\\\nFrontier labs have hit a wall: public web data is tapped out, synthetic-only pipelines risk degeneration, and the next generation of models needs **rights-cleared multimodal data** that doesn’t exist at scale.\n\n* Companies are spending huge budgets on generic, low-signal datasets from legacy vendors\n* The internet’s “easy data” is largely exhausted, what’s left is low-signal, repetitive, or messy\n* Most datasets fail production requirements: unclear rights, weak provenance, missing consent, inconsistent metadata\n\n**The Solution**\\\nLuel delivers **to-spec multimodal datasets** with clean provenance:\n\n* **Custom collections:** you specify exactly what you need; we scope, recruit, QA, and deliver\n* **Off-the-shelf licensing:** completed collections become ready-to-license catalogue datasets (ranging from patient-doctor conversations in south Asia to gemstone manufacturing footage for robotics)\n* **Rights trail included:** built for procurement + compliance from day one (consent evidence, chain-of-title, QA logs)\n\n**How it works**\n\n* AI teams submit a dataset spec (modality, scenario, instructions, devices, QA rules)\n* We post a listing and instantly match vetted contributors\n* Submissions run through multi-stage QA and are **delivered within days.**\n\n**The Team:**\n\n* **William Namgyal - CEO**\\\n 2x Founding Engineer, Berkeley M.E.T. Dropout\n* **Inigo Lenderking - COO**\\\n Prev. Machine Learning Researcher, Berkeley CS Dropout\n\n**Our ask**\\\nIf you’re training multimodal / robotics / speech models and need data, we’d love to talk. Intros to heads of data, applied research, or model training teams = 🙏\n\n\\\n**Email: [william@luel.ai](mailto:william@luel.ai) / [inigo@luel.ai](mailto:inigo@luel.ai) / [founders@luel.ai](mailto:founders@luel.ai)**", "url": "https://www.ycombinator.com/launches/PKl-luel-the-marketplace-for-multimodal-data", "votes": 766, "created_at": "2026-02-02T21:25:05.680Z" } ] }, { "id": 31138, "name": "Aemon", "slug": "aemon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3865c0d771194942bdee5eff869a97c2df94f0c.png", "website": "https://aemon.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Aemon is the first autonomous research engineer that delivers state-of-the-art solutions to your engineering problems. It generates, tests, and evolves thousands of approaches at machine speed to discover optimal solutions beyond what human experts can find.\r\n\r\nAemon already set a new world record on an NP-hard math optimization problem with <$10 of compute, beating the previous record set by Google DeepMind in 2025.\r\n\r\nRay and Richard (twin brothers) dropped out of UWaterloo and UIUC to build Aemon. They published at top AI conferences like ICLR and EMNLP before turning 20.", "one_liner": "The Forward-Deployed AI Research Engineer ", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772053698, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aemon", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/aemon.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aemon-ai/", "x_url": "https://x.com/Aemon_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3865c0d771194942bdee5eff869a97c2df94f0c.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": 1990817, "full_name": "Richard Zhou", "title": "Founder/CEO", "founder_bio": "Co-founder at Aemon (YC W26). Waterloo CS dropout. International medalist in math & robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/-richard-zhou-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/290406af1937291a797ca0f0407032004b79d815.jpg" }, { "user_id": 3174521, "full_name": "Ray Xu", "title": "Founder/CTO", "founder_bio": "Co-founder at Aemon (YC W26). UIUC CS dropout. Published at top AI conferences like ICLR and EMNLP before turning 20.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yifei-ray-xu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4d6d07c25291985ffc54033634c788ccb0105b6.jpg" } ], "jobs": [ { "id": 97531, "title": "Member of Technical Staff Intern 2027", "url": "https://www.ycombinator.com/companies/aemon/jobs/1eLVh1X-member-of-technical-staff-intern-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$8K - $15K", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Machine Learning", "AI Agents" ] }, { "id": 111754, "title": "Member of Technical Staff (Research Engineering) ", "url": "https://www.ycombinator.com/companies/aemon/jobs/JrUC2Px-member-of-technical-staff-research-engineering", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$180K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Machine Learning", "AI Agents" ] } ], "news": [], "launches": [ { "id": 98200, "title": "Aemon — The AI R&D Engineer", "tagline": "Your next breakthrough. Found automatically.", "body": "# \\*\\*\\*\\*\n\nHi! We're Ray and Richard — twin brothers, and co-founders of [Aemon](https://aemon.ai/).\n\n## TL;DR\n\nAemon is an AI R&D engineer. Give it a problem and a way to measure success — it reads state-of-the-art research, then generates and evolves thousands of approaches at machine speed to discover optimal solutions, often going beyond what human experts can find.\n\nYou say: \"Here's my problem. Here's how I measure success. Beat the best known solution.\"\n\nAemon is already in the hands of R&D teams, discovering solutions that surpass their existing approaches.\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\n**Aemon set a new world record. With less than $10 of compute. (see below)**\n\n## 😖 The Problem\n\nGlobal R&D spend is $3.1 trillion a year. And every R&D problem has the same shape: you know what success looks like, but you don't know how to get there.\n\nToday, that means hiring R&D engineers to read and align papers, pick an approach, implement it, test it, and iterate — by hand. It's slow, it's expensive, and no matter how good your team is, they can only explore a tiny fraction of the solution space. That means the best solution is almost certainly out there, untested, because no human team has the bandwidth to find it.\n\nThis isn't a tooling problem. It's a search problem — and humans are the bottleneck.\n\n## 🤓 Our Solution\n\nAemon does what a world-class R&D engineer does — but at a scale no human team can match.\n\n* **Research synthesis** — Aemon reads state-of-the-art papers to understand what's been tried, what works, and where the frontier is.\n* **Autonomous evolution** — It generates and evolves thousands of approaches against your eval, exploring far more of the solution space than any human team could.\n* **Expert steerable** — Your team stays in control. A simple direction is all it takes to guide Aemon — constraining the solution space, prioritizing certain approaches, or steering away from dead ends. R&D gets faster and more precise, and Aemon fits into your existing R&D workflow.\n* **Beyond state-of-the-art results** — Aemon doesn't just match the best known solution. It looks for better ones — and finds them.\n\nThe result: solutions that are validated against your eval, benchmarked against the public state of the art. Your experts stay in the loop — Aemon just gives them superhuman reach. \n\n## 🥇 New Record\n\nWe pointed Aemon at the circle packing problem — a classic NP-hard optimization challenge that mathematicians have worked on for decades.\n\nAemon set a new world record. With less than $10 of compute.\n\nIt beat Google DeepMind's AlphaEvolve with fractional the cost.\n\nVerify it yourself using their official verifier (B.12, n=26): [\\[VERIFIER LINK\\]](https://colab.research.google.com/github/google-deepmind/alphaevolve_results/blob/master/mathematical_results.ipynb#scrollTo=v3kEu5yVeJ2h) | [Aemon’s Solution](https://aemon.ai/#:~:text=of%20compute-,View,-Aemon%27s%20solution)\n\n## Our Story\n\nWe're twins who've been working together our whole lives. We published at ICLR and EMNLP before turning 20, then dropped out of UWaterloo and UIUC to build Aemon full-time. There's a good story behind why we started this — too long for here, but ask us and we'll tell you.\n\n## 🙏 Our Ask\n\nIf you are, or know, any of the following, we'd love to talk:\n\n* CTOs, Heads of R&D, or engineering leaders evaluating whether to hire another R&D engineer or want to accelerate R&D.\n* Leadership at teams working on any problem where you have a clear eval but no clear path to the best solution\n* AI/ML teams trying to be and staying SOTA\n* computational teams in fields like quant, finance, biotech, logistics, or materials science where better algorithms directly drive business value\n\nPlease reach out to us at [founder@aemon.ai](mailto:founder@aemon.ai) or book a discovery call at [aemon.ai](http://aemon.ai)", "url": "https://www.ycombinator.com/launches/PXs-aemon-the-ai-r-d-engineer", "votes": 23, "created_at": "2026-02-26T00:04:45.721Z" } ] }, { "id": 31139, "name": "Ashr", "slug": "ashr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36b682fdfb87515f8ca423d8a006eaac7229e134.png", "website": "https://ashr.io", "all_locations": "San Francisco, CA, USA", "long_description": "Ashr Manifold is a self-contained model training, hosting, observability, and continual learning platform for purpose-built open-weight models. \r\n\r\nStartups can use Manifold to post-train and manage fleets of continuously improving open-weight models without having a dedicated research team or infrastructure. Ultimately, this reduces operating costs and allows a greater degree of control over proprietary company knowledge.\r\n\r\nEnterprises can use Manifold to encode institutional judgements and priorities into open-weight models, reduce token costs, and manage every level of the AI life cycle, from data curation, to model serving on weights and infrastructure they own.", "one_liner": "Enterprise post-training, monitoring, and continual learning platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771535371, "tags": [ "Deep Learning", "Generative AI", "Reinforcement Learning", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ashr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ashr.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ashr-io", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36b682fdfb87515f8ca423d8a006eaac7229e134.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1467144, "full_name": "Rohan Kulkarni", "title": "Founder/CEO", "founder_bio": "Building custom models at Ashr Labs. Co-founder and CTO of Ask Geri (Acquired). Berkeley EECs. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/rohankulkz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/297857e249e4e8e3f4bce0f12fda39d67b33b506.jpg" }, { "user_id": 2584088, "full_name": "Shreyas Kaps", "title": "Founder", "founder_bio": "Building Ashr Manifold to help teams build and host purpose-built and trained models", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shreyas-kaps-5b1a4420b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/697406e5dc0beff2a338d68874683d7c8e1703c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98286, "title": "Ashr: Mimic Your Production Environment and Users to Catch Agent Fails", "tagline": "Custom Tests and Evals Simulating Real User Behavior", "body": "\nHi YC, we’re Shreyas and Rohan — two ex-Berkeley students building Ashr.\n\n**TL;DR :** Ashr catches bugs and validates agent response quality by mimicking the patterns and quirks of real users. Developers today struggle to simulate these conditions in tests, resulting in real-time fails and unexpected behavior. We integrate as an SDK within your codebase.\n\n\n\n# The Problem\n\nAI automations are top of mind for every developer: large companies are integrating AI into older systems to stay technologically relevant, while AI-native companies are quickly emerging in every vertical. Unfortunately, most of these AI tools miss the mark: constant hallucinations, unexpected behavior, and dubious quality have eroded trust in agentic systems. In most cases, this is not because foundation models aren’t powerful enough, but because of subtle prompting, tooling, and scaffolding errors that only emerge with rigorous testing. The need for high volumes of realistic testing arises in many scenarios: we’ve spoken to companies who want to prove that their agents are capable of handling sensitive data to potential customers, developers who want to make their agents work better, and engineers who want to test edge-cases and new features but don’t have all the necessary tools.\n\nWe’ve seen teams confront this problem with a litany of half-measures: pushing to production and tanking user trust as a means of discovering bugs, half-baked test harnesses, and vibe-coded test suites that only scratch the surface. We built ashr to solve this.\n\n# Our Solution\n\nAshr is a modular testing and evaluation platform for your agentic system. We integrate as an SDK into your codebase, allowing you to request test suites and analyzing your agents’ output based off your tooling and ideal outputs. These tests mimic how real users utilize an agentic system: taking complex tool call paths, using obscure language with unclear instructions, and attempting to use restricted features. We develop environments, fine-tuned custom scorers, and stop at nothing to provide all the insights needed to bring your agent to a truly production-ready state.\n\nWe also work seamlessly with Claude Code and Cursor, allowing your coding agents to quickly prototype and test changes while receiving immediate feedback. Teams have run swarms of agents testing with ashr overnight, and have woken up to changes that reduced hallucinations and increased accuracy and user retention, all without writing a single line of code.\n\n# Our Ask\n\nIf you’re building agents, book a call today at [**https://ashr.io/**](https://ashr.io/). **All onboarding is done via call so we can ensure everyone is ready to go and start using as soon as possible.** In addition, we’d love feedback on our docs, opinions about the nature of test infra, and just chatting with a bunch of builders on how to make our product better.\n\nYou can reach us at [founders@ashr.io](mailto:founders@ashr.io)\n\n# The Team\n\n**We’re two young founders passionate about changing the world with agentic development**\n\n* **Rohan** built his first startup, an AI-native survey platform for old age homes, as a student at Berkeley, before exiting as part of an acquisition and joining YC.\n* **Shreyas** worked on AI-native workflows at Tessera Labs, mentored by a team of ex-Meta and Netflix research, and delivering value in the ERP transformations of Fortune 100 companies.", "url": "https://www.ycombinator.com/launches/PZG-ashr-mimic-your-production-environment-and-users-to-catch-agent-fails", "votes": 9, "created_at": "2026-02-27T22:43:17.702Z" } ] }, { "id": 31140, "name": "CodeWisp", "slug": "codewisp", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbb4da2e7614c1fd4c6c439a1afa51661f2fb7dc.png", "website": "https://codewisp.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "CodeWisp lets anyone build and publish web games using plain-English prompts.\r\n\r\nTraditional game development requires learning complex engines, managing assets and code, and following rigid workflows, making it slow and inaccessible for most people.\r\n\r\nWith CodeWisp, users describe the game they want. CodeWisp generates the game’s code, structure, and assets, and users can refine it with follow-up prompts. This makes it possible to go from idea to a playable web game in minutes, without prior game-development experience.", "one_liner": "Anyone can create real games with AI", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1769035149, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer", "Gaming" ], "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/codewisp", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/codewisp.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/codewisp/", "x_url": "https://x.com/usecodewisp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbb4da2e7614c1fd4c6c439a1afa51661f2fb7dc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e0ab1c448a4f7b75f7ad9ecafdf136e1677b7b22.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 892590, "full_name": "Elvin Fu", "title": "Founder", "founder_bio": "Making games since age 10. Built mobile and web games played by millions, taught game development to 22+ million people on YouTube, and built two game engines from the ground up. University of Washington CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fuelvin/", "x_url": "https://x.com/itsfuelvin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07034440a45a9f144a73a9cc427ce876f889185d.jpg" } ], "jobs": [], "news": [ { "title": "The Top 12 DevTech Startups in YC W26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-devtech-startups-yc-w26/", "date": "Mar 18, 2026" } ], "launches": [ { "id": 98433, "title": "CodeWisp - AI Game Creation Platform", "tagline": "Turn ideas into playable games.", "body": "Hey everyone, I’m [Elvin Fu](https://www.linkedin.com/in/fuelvin/) - founder of [CodeWisp](http://codewisp.ai).\n\n**TL;DR**\n\n**CodeWisp lets anyone create and publish web games using prompts.** Describe the game you want and CodeWisp generates it - no need to juggle code files, engines, or asset pipelines.\n\n\n\n**Why this matters:**\n\nGaming is already a massive industry - it’s expected to grow to nearly **$300B globally by 2029** _(PwC Global Entertainment & Media Outlook)_.\n\nBut the tools used to build games are still designed for professional studios.\n\nAI is creating a new paradigm where games can be **generated, modified, and shared instantly,** opening game creation to millions more people.\n\nThat is the opportunity we’re building toward at CodeWisp.\n\n**The Goal:**\n\nRemove the friction of traditional game development and make creating and publishing games accessible to anyone, not just engineers or studios.\n\n**The Product:**\n\nCodeWisp has two main parts (everything is in browser, no downloads or tools required):\n\n1 ) The Editor\\\nA browser-based workspace where you describe the game you want and CodeWisp generates it. You can prompt edits to add mechanics, enemies, physics, levels, or visuals and see the game update instantly.\n\nCodeWisp can generate 2D games, 3D games, and multiplayer browser games.\n\n![uploaded image](/media/?type=post&id=98433&key=user_uploads/892590/a884349c-6658-45ae-b86d-65a6cf2c9129)\n\n2 ) The Homepage\\\nA place to explore and play games created by the community. Every game can be opened, played in the browser, and shared instantly with a link.\n\n![uploaded image](/media/?type=post&id=98433&key=user_uploads/892590/b15e27c9-a0e5-462e-b22f-bd07fc362c24)\n\n**Traction:**\n\n• 2,000+ weekly active game creators\\\n• 17,000+ games created on CodeWisp\n\n**The Founder:**\n\nElvin Fu - Making games since age 10, created mobile and web games played by millions. Taught game development to 22+ million people on [YouTube](http://youtube.com/c/fuelvin). Built two game engines from the ground up.\n\n![uploaded image](/media/?type=post&id=98433&key=user_uploads/892590/17e8502d-cf07-402f-a1c6-d3f952bb3966)\n\n**Asks:**\n\n* Creators interested in making and sharing games built with CodeWisp\n* Intros to indie developers experimenting with new tools\n* Feedback from anyone building games or working in game dev\n* If you know someone who’s always wanted to make a game, feel free to send them CodeWisp\n\n**Contact:**\n\n[fuelvin@codewisp.ai](mailto:fuelvin@codewisp.ai)", "url": "https://www.ycombinator.com/launches/Pbd-codewisp-ai-game-creation-platform", "votes": 56, "created_at": "2026-03-04T01:47:06.009Z" } ] }, { "id": 31141, "name": "OctaPulse", "slug": "octapulse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e0172397f4c3479d08f16556c96343e2d1c9b1.png", "website": "https://www.tryoctapulse.com/", "all_locations": "Frisco, TX, USA", "long_description": "OctaPulse is building the robotics layer for seafood production. Aquaculture is the fastest-growing food sector and already produces more seafood than commercial fishing, yet the people who breed and process fish still make thousands of decisions a day with almost no data about the fish in front of them, and much of the most important work is still done by hand, one fish at a time.\n\nWe put cameras where fish are already handled, turn every image into measurements, and give farms and plants the tools to act on them. Today that is two products: Phenotyping, which measures every fish for shape, size and condition and links it to its family for breeding decisions, and Digital Twin, which places cameras on processing lines and farm sites onto the floor plan with live views, automatic counts and a built-in AI assistant.\n\nThe same per-fish measurements are the foundation for Plant Robotics: robot cells that handle whole fish on the processing line, working alongside the people there. Fish are wet, slippery, soft and never the same twice, which is exactly why this work is still manual and why it needs measurement-driven robots built for food plants rather than rigid grippers and tabletop demos. We are now selecting processing plants for the first pilots on real lines.\n\nWe signed a 6-figure paid pilot with the largest trout producer in the United States, and every deployment adds labeled images to a proprietary multi-species dataset that improves our models across species and becomes the brain for autonomous seafood production.", "one_liner": "OctaPulse builds computer vision and robotics for fish farms and…", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Climate", "launched_at": 1766417530, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Climate" ], "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/octapulse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/octapulse.json", "year_founded": 2025, "city": "Frisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106495616", "x_url": "https://x.com/tryoctapulse", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3e0172397f4c3479d08f16556c96343e2d1c9b1.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": 1862013, "full_name": "Paul Grech", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of OctaPulse, deploying computer vision, edge computing, and robotics to make fish farms autonomous. CMU Robotics Institute Pathways Fellow, and prior to CMU sold enterprise portfolio risk and attribution products to Tier 1 asset managers while at Bloomberg LP. Named as a Future Leader in two national aquaculture organizations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-l-grech-b4359591/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38c83f36bc6e45381de0320ee758b2963ca28a84.jpg" }, { "user_id": 2027227, "full_name": "Rohan Singh", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of OctaPulse, building the robotics layer for seafood production: computer vision, edge computing and robots for fish farms and processing plants. CMU AI Engineering MS, former D1 tennis player at Texas A&M, with production robotics and software experience across Tesla, NVIDIA, ASML and Toyota.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohxnsxngh/", "x_url": "https://x.com/rohxnsxngh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afad5228d4c889eb9736752f3c8169cb607f9c87.jpg" } ], "jobs": [ { "id": 116350, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/octapulse/jobs/jVzcCIj-robotics-engineer", "location": "Dallas, TX", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$130K - $165K", "equity_range": "0.05% - 0.20%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "Computer Vision" ] }, { "id": 116351, "title": "Hardware Engineer", "url": "https://www.ycombinator.com/companies/octapulse/jobs/23j8aer-hardware-engineer", "location": "Dallas, TX", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $145K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C", "C++", "Python", "Linux", "Computer Vision", "Firmware", "PCB design", "Altium", "SolidWorks" ] }, { "id": 116352, "title": "Forward Deployed Engineer, Chile", "url": "https://www.ycombinator.com/companies/octapulse/jobs/HyUM1YI-forward-deployed-engineer-chile", "location": "Puerto Montt, Chile", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "", "equity_range": "0.02% - 0.10%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Linux", "Computer Vision" ] } ], "news": [ { "title": "The Top Bio and Health Startups in YC W26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-bio-health-startups-yc-w26/", "date": "Mar 17, 2026" }, { "title": "News Features | Specialty Food Association", "url": "https://www.specialtyfood.com/news-media/news-features/member-press-releases/acme-smoked-fish-foundation-announces-2025-seafood-industry-climate-award-recipients/", "date": "Feb 04, 2026" } ], "launches": [ { "id": 97974, "title": "OctaPulse - Building the Autonomous Aquaculture Farms of the Future", "tagline": "Robotics and Computer Vision for Aquaculture", "body": "![uploaded image](/media/?type=post&id=97974&key=user_uploads/2027227/8f01baa3-54e5-4483-b0aa-afbef535bfef)\n\n**TL;DR:** We're building robotics and computer vision for fish farming. Automated grading, phenotyping, and breeding optimization. 6-figure annual contract with North America's largest trout producer. Looking for intros to delta robot manufacturers and aquaculture connections.\n\n---\n\nWe're building AI-powered computer vision and robotics for aquaculture. Automated fish grading, phenotyping for breeding programs, and health monitoring.\n\n**Why it matters:** Aquaculture is a $350 billion industry, the fastest-growing protein sector on Earth, and it needs to grow 30%+ by 2030 to meet global seafood demand. But most farms still grade and sort fish by hand. It's slow, stressful for the animals, and limited to tiny sample sizes. You can't optimize breeding, feeding, or harvest timing without accurate data, and right now, most farms don't have it.\n\n**Where we are:** We're deployed with Riverence, North America's largest trout producer, on a 6-figure annual contract. Model accuracy is at 95%+, and we've cut inspection time from 5 minutes to under 30 seconds per fish. We're now integrating delta robotics for automated sorting.\n\n**Team:** Paul leads commercial and partnerships as a Future Leader in the National Fisheries Institute and Coalition for Sustainable Aquaculture. Rohan leads engineering, with robotics and AI experience from CMU, ASML, Toyota, Tesla, and NVIDIA.\n\n**Asks:**\n\n* Intros to delta robot manufacturers (ABB, Fanuc, Omron, Igus, or emerging players)\n* Connections to salmon, trout, or finfish farms in Chile, Norway, Scotland, or the Mediterranean\n\nHappy to connect with anyone in computer vision, AgTech, robotics, or climate tech. The farms that adopt automation first will define this industry for the next 50 years.\n\nLet's chat. 🐟\\\n\\\n\n\n---", "url": "https://www.ycombinator.com/launches/PUE-octapulse-building-the-autonomous-aquaculture-farms-of-the-future", "votes": 160, "created_at": "2026-02-20T04:13:07.065Z" } ] }, { "id": 31142, "name": "Beyond Reach Labs", "slug": "beyond-reach-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68e78dbe382d51a7e7c3d02cc8ca43db9513c3d4.png", "website": "https://www.beyondreachlabs.com", "all_locations": "New York City, NY, USA", "long_description": "At Beyond Reach Labs we are building solar panels for Space that grow from the size of a dining table to a football field in orbit.\r\n\r\nMitch and Pele met 13 years ago as freshmen at UPenn studying mechanical engineering. Mitch recently got his PhD at Carnegie Mellon working with NASA on kilometer-scale deployable structures, and Pele spent seven years at SpaceX leading Dragon parachute engineering, safely returning astronauts from space.\r\n\r\nThe collective satellites today use around 20MW, roughly the output of a datacenter on earth, but by 2030 there is a demand for over 10GW, a 500x increase, largely driven by orbital datacenters, space stations, and lunar outposts.\r\n\r\nIf you want more power, your only option is to launch larger solar panels, which quickly become fragile or impractically expensive. As a result, power constraints already determine whether missions or industries can exist at all.\r\n\r\nBut at Beyond Reach Labs we have introduced a new class of deployable solar panels giving satellites 10x more usable power without increasing launch mass or volume. 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I earned my PhD at CMU, working with NASA on the design, simulation, and optimization of kilometer-scale deployable space structures. \n\nI have published in the top robotics and aerospace conferences and journals, and recieved the Editor Choice Best Paper Award from ASME JMD 2023. \n\nBeyond Reach Labs is building space megastructures to be deployed from a single rocket launch, accelerating new space capabilities.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchell-fogelson", "x_url": "https://x.com/fogmb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83cad38769cfff88d7b086c162eb28f3845d29f8.jpg" }, { "user_id": 3155260, "full_name": "Pele Collins", "title": "Founder/CTO", "founder_bio": "I have been working on some of the hardest technical challenges for almost a decade. I spent 6 years as SpaceX leading the engineering and production teams for the parachutes and between that also worked as the Plasma-Facing-Components Technical team lead at Commonwealth Fusion Systems. \n\nNow as co-founder of Beyond Reach Labs, we are currently working to enable space megastructures to be deployed from a single rocket launch and to accelerate the design of deployable space systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pelecollins/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d72927214355364bc38b1873e926f12756823a3.jpg" } ], "jobs": [ { "id": 109211, "title": "Mechanical Engineer ", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/zqoyVzB-mechanical-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 109212, "title": "Mechanical Engineer Intern (Spring 2027)", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/5pIHRqu-mechanical-engineer-intern-spring-2027", "location": "New York City", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$28 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109213, "title": "Mechanical Engineer Intern (Summer 2027)", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/D9qRm4E-mechanical-engineer-intern-summer-2027", "location": "New York City", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$28 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109214, "title": "Development Test Engineer", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/5R93Zka-development-test-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112775, "title": "Talent Acquisition Manager", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/cgzgRwk-talent-acquisition-manager", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$85K - $110K", "equity_range": "0.05% - 0.15%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112776, "title": "Strategy and Growth Lead", "url": "https://www.ycombinator.com/companies/beyond-reach-labs/jobs/DSD1AYi-strategy-and-growth-lead", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $190K", "equity_range": "0.25% - 1.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Brooklyn-based Beyond Reach Labs inks 16K lease at Industry City - Crain's New York Business", "url": "https://www.crainsnewyork.com/real-estate/commercial/beyond-reach-labs-industry-city-lease-spacex-veteran-20260918/", "date": "Sep 17, 2026" }, { "title": "North American Clean Energy - One Orbital Solar Array at a Time from its New Industry City Headquarters", "url": "https://www.nacleanenergy.com/solar/one-orbital-solar-array-at-a-time-from-its-new-industry-city-headquarters", "date": "Sep 17, 2026" }, { "title": "Beyond Reach Labs Opens 16,000-Square-Foot Brooklyn Facility To Build Solar Arrays For Space Stations And Orbital Data Centers", "url": "https://pulse2.com/beyond-reach-labs-opens-16000-square-foot-brooklyn-facility-to-build-solar-arrays-for-space-stations-and-orbital-data-centers/", "date": "Sep 16, 2026" }, { "title": "Beyond Reach Labs unveils line of large deployable solar arrays - SpaceNews", "url": "https://spacenews.com/beyond-reach-technologies-unveils-line-of-large-deployable-solar-arrays/", "date": "Aug 24, 2026" }, { "title": "Beyond Reach Labs Unveils Flarewing Deployable Solar Arrays", "url": "https://payloadspace.com/beyond-reach-labs-unveils-flarewing-deployable-solar-arrays/", "date": "Aug 24, 2026" } ], "launches": [ { "id": 97994, "title": "Beyond Reach Labs: Solar Panels in Space the size of football-fields", "tagline": "The future in Space is unfolding", "body": "**TL;DR** We’re building deployable solar arrays that expand from the size of a dining table to a football field in orbit. We already have several LOIs from Space companies totaling over $175M and are planning our first in-space demo flight for Q2 2027.\n\n\n\n# _The Problem:_\n\nJust like the trunk of your car on a road trip, a rocket ride to space is volume-constrained.\n\nBut the critical systems that enable Space services — solar arrays and thermal radiators — get better as they get bigger. Power generation and heat dissipation both require a large surface area, and both must be tightly packed for launch.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/61659d57-59a7-45a9-bb77-aada242bc186)\n\nAs space infrastructure scales, power demands per launch are rising fast. That means more watts generated and rejected. Existing deployable structures don’t scale to meet this demand - they’re unreliable, too expensive, take up too much volume, and, importantly for controlling the satellite, too flimsy after deployment.\n\nPower generation and heat dissipation are becoming the limiting factors for larger, more capable spacecraft.\n\n# _The Solution:_\n\nBeyond Reach Labs builds solar panels and thermal radiators for space that grow from the size of a dining table to a football field in orbit, supporting the growing demand for power from orbital data centers, commercial space stations, and lunar outposts.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/d99b0409-8374-4f34-abab-4d7c6de81717)\n\nOur **patented deployable structures** dramatically improve both stowage efficiency and structural stiffness, enabling kilometer-scale systems from a single launch.\n\nWe’re starting with deployable solar arrays, where we’ve already secured several multi-million dollar LOIs from customers building next-generation space platforms.\n\nOur first flight demonstration is targeted for late Q2 2027.\n\n# _Why now?_\n\nPower demand in orbit is exploding… scaling from \\~**50 Megawatts today to >500 Gigawatts by 2035** (a 10,000x increase), driven by mega-constellations and in-space data centers - and the deployment bottleneck is becoming critical.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/15ea5164-dec9-48a4-a7b9-c29861dde096)\n\n# _Why us?_\n\n**Pele Collins:** \\~7 years at SpaceX leading parachute engineering & production, supporting 30+ Dragon missions — designing, qualifying, and flying mission-critical space hardware.\n\n**Dr. Mitchell Fogelson:** PhD from Carnegie Mellon focused on the design, optimization, and simulation of large deployable space structures with NASA - and the inventor of BRL’s core technology.\n\nWe’ve been building together since freshman year at UPenn (2013).\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/adf86f6f-da51-46d2-a2bb-e5360ca6037f)\n\n# Long-term vision\n\nNear-term: Make deployables boring, trustworthy, and scalable for today’s missions.\n\nLong-term: Enable kilometer-scale space infrastructure — including artificial-gravity stations and persistent human presence in space.\n\n![uploaded image](/media/?type=post&id=97994&key=user_uploads/3155260/a3ea1c41-9f88-4a88-b78e-4b78f2d8a543)\n\nIf this resonates, please reach out to us here: [founders@beyondreachlabs.io](mailto:founders@beyondreachlabs.io)\n\n# **Links**\n\nWebsite: \n\nPele: \n\nMitch: ", "url": "https://www.ycombinator.com/launches/PUY-beyond-reach-labs-solar-panels-in-space-the-size-of-football-fields", "votes": 23, "created_at": "2026-02-19T23:11:27.860Z" } ] }, { "id": 31144, "name": "Milliray", "slug": "milliray", "former_names": [ "DroneTector Ltd", "DroneTector", "Milliray (formerly DroneTector)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a1552aeba914f75657392e47de071913dbe0bc.png", "website": "https://milliray.com/", "all_locations": "London, England, United Kingdom", "long_description": "We make radars that can see small drones.\r\n\r\nAs drones evolve faster than air defenses, detection has fallen behind. Even $50 drones now present a major threat to airports, critical infrastructure, and front-line defense.\r\n\r\nWe solve this by building high-frequency radar systems, designed from the ground up to detect even the most challenging low-signature targets. This allows us to identify and track nano drones like no other solution, letting you know what's truly in your airspace. ", "one_liner": "Technology to detect and track small drones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1768863894, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/milliray", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/milliray.json", "year_founded": null, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4a1552aeba914f75657392e47de071913dbe0bc.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": 3205024, "full_name": "Matthew Moore", "title": "Founder/CEO", "founder_bio": "DroneTector Founder | PhD in Physics from St Andrews | Millimetre-Wave Radar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mmoore2/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f175c33b5244bb17e2de3756b6a1b8ec389e57e.jpg" }, { "user_id": 3265439, "full_name": "Thomas Doherty", "title": "Founder", "founder_bio": "DroneTector Co-Founder | Oxford DPhil Atomic & Laser Physics | St Andrews MPhys Theoretical Physics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-doherty-940b87302", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2338dfb4090a3fe31e0fc44391a635646adebcb.jpg" }, { "user_id": 3265268, "full_name": "Jordina Frances de Mas", "title": "Founder", "founder_bio": "DroneTector Co-Founder | PhD in CS (Automated Reasoning) | Formal Methods, Mathematics & Physics", "is_active": true, "linkedin_url": "https://linkedin.com/in/jordina-f-442259329", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/688e34542284c646518a440f966b0e6b93537567.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97990, "title": "DroneTector: high-resolution radars to detect small drones", "tagline": "We build sensors to detect the most challenging drones.", "body": "**TL;DR:** Drone threats have evolved. Detection technology hasn’t and makes lots of mistakes. We solve this with a suite of sensors, including our millimeter-wave radar, purpose-built for the hardest targets. If you’re responsible for countering drone threats, get in touch at [founders@dronetector.com](mailto:founders@dronetector.com).\n\n**The problem**\n\nSmall drones are now a security problem. They’re cheap, widely available, and increasingly capable. As a result, they’re showing up in places they shouldn’t – from airports and critical infrastructure to prisons and defense environments.\n\nDetecting them reliably, however, is still a hard problem.\n\nMost drone detection systems weren’t designed for small, low-cost drones. False positives are common, and real threats are missed.\n\nThat’s why we’re building [@DroneTector](https://bookface.ycombinator.com/company/31144).\n\n**Our solution** \n\nDroneTector provides millimeter-wave radar engineered to detect small drones that others miss. Integrated with our camera and acoustic arrays, we deliver reliable detection against the most challenging targets.\n\nSee our technology in action: \n\nOur sensors can operate as a standalone solution or as part of a distributed detection network. They’re highly scalable, adaptable to complex environments, and able to detect drones that other solutions simply can’t. \n\n**The team**\n\nWe’re a team of PhDs from top UK universities with highly relevant expertise. We’ve been supported by the **UK MoD’s Defence and Security Accelerator**, **NATO DIANA** and the **Royal Academy of Engineering**. \n\n**Dr Matthew Moore (CEO) -** Matthew holds a PhD from the University of St Andrews, specializing in millimeter-wave radar for drone detection. He has extensive RF engineering experience and is a Royal Academy of Engineering Enterprise Fellow. \n\n**Dr Thomas Doherty (CTO) -** Thomas holds a PhD from the University of Oxford, and has a decade of experience in optical and laser technologies. He brings engineering physics expertise and is a Royal Academy of Engineering Enterprise Fellow. \n\n**Dr Jordina Frances de Mas (COO) -** Jordina holds a PhD from the University of St Andrews, focusing on automated reasoning. She brings deep expertise in machine learning and algorithmic optimization. \n\n**Our ask** \n\nIf you’re responsible for countering the drone threat – **in airports, critical infrastructure, venues, VIP protection, or defense** – we’d love to talk. Contact us at [founders@dronetector.com](mailto:founders@dronetector.com).", "url": "https://www.ycombinator.com/launches/PUU-dronetector-high-resolution-radars-to-detect-small-drones", "votes": 10, "created_at": "2026-02-19T22:20:18.365Z" } ] }, { "id": 31145, "name": "RamAIn", "slug": "ramain", "former_names": [ "Ramain" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a10a6d3695c38f916de546238a447f1633ea982.png", "website": "https://ramain.ai", "all_locations": "San Francisco, CA, USA", "long_description": "RamAIn Employees join your team just like a human. Teach them to work across systems just like a new hire and watch them work autonomously to do the work 24/7. ", "one_liner": "RamAIn - AI Employees with a computer to perform business tasks just…", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1767663208, "tags": [ "Robotic Process Automation", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/ramain", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ramain.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ramain", "x_url": "https://x.com/ramainai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ramain", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1a10a6d3695c38f916de546238a447f1633ea982.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": 2267746, "full_name": "Shourya Vir Jain", "title": "Founder/CEO", "founder_bio": "Building the world's fastest computer-use agents for enterprise work 🍜\n- EE @ IIT Delhi\n- FIDE Chess Rating 2118, top 20 in the world under 14\n- ex-McKinsey & Company\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shouryavirjain/", "x_url": "https://x.com/SveeVJ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b48edd363a4d2807e1d93d6d846d416b79e279c.jpg" }, { "user_id": 3198910, "full_name": "Vansh Ramani", "title": "Founder/CTO", "founder_bio": "Building the world's fastest computer-use agents for enterprise work 🍜\n- CS @ IIT Delhi\n- AI researcher at CMU working on scalable ML and representation learning\n- Published research papers at ICLR, ICML and ACS including 'Panaroma' - world's fastest vector search algorithm - later merged into Meta FAISS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramanivansh/", "x_url": "https://x.com/vansh_ramani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b1b32f82ebad1410fd58a4ab062931a79c5c7dc.jpg" } ], "jobs": [ { "id": 92604, "title": "Founding AI/ML Research Engineer", "url": "https://www.ycombinator.com/companies/ramain/jobs/jezgwo5-founding-ai-ml-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.30% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine learning" ] }, { "id": 95468, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/ramain/jobs/hqvmyKN-founding-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $180K", "equity_range": "0.30% - 1.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97571, "title": "RamAIn: Teach AI to use your legacy systems, desktop applications and web portals just like a human", "tagline": "With AI, we handle complex data entry and extraction operations on which RPA breaks. 10x faster than computer use agents from Google, OpenAI and Anthropic.", "body": "# \\*\\*\\*\\*\n\n**tl;dr: [RamAIn](https://www.ramain.ai/)** _intelligently_ _automates complex and repetitive work across browser and desktop applications. It doesn’t matter if you have API access or not - the general principle is: **if you can see it, RamAIn can do it.**_\n\n[RamAIn Launch Video](https://www.youtube.com/watch?v=tnVTskMw3mk)\n\nEnterprise teams are stuck **manually reading, copy-pasting and tab-switching** for hours every week. RamAIn kills the busywork so your team can get back to the real work.\n\nRamAIn agents simulate mouse and keyboard clicks to use your team’s computers just like a human to move data between your **legacy systems, desktop applications and web portals.** It dominates complex data entry and extraction tasks through UI-interaction on which traditional RPA breaks.\n\nRamAIn is **self-healing** and great at handling unexpected pop-ups or UI changes by using AI to solve for deviations it hasn’t seen before. It takes just a **few days to train and deploy** across your team’s applications and maintains a full audit-trail of decisions.\n\nUnlike current computer-use AI agents that have to think about every action while executing, **RamAIn learns UI-policies and interface structures** from your key interfaces that allows it to make decisions 10x faster while being super reliable.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/6806e0de-aca0-4f07-a2c4-5a8c2a53408f)\n\n_What RamAIn sees after it has learnt how to use Outlook_\n\nRamAIn is super-safe. It comes out of the box with human-in-the-loop support, giving your team real-time control over every workflow. It’s designed to augment your team, boosting productivity without replacing human expertise.\n\nThrough a simple UI overlay, RamAIn can communicate with your team in real-time, asking clarifying questions whenever context is missing or expert judgment is required.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/0f41ab6f-7efb-4316-a522-2cafe22191a2)\n\n_RamAIn requesting human-input in assisted mode_\n\nRamAIn unifies automations into a single agent by integrating with APIs when required and using UI-interaction where APIs aren’t available to ensure complete task coverage across both internal and 3rd-party systems.\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/fc2923e3-da81-4140-a931-9f2964350517)\n\n_RamAIn filling up a dynamic 3rd-party form in real-time_\n\n**We’ve learnt through our customers that RamAIn is perfect for -**\n\n**Procurement Teams:** \\\n_(ERP + Supplier Portals)_\\\nVendor onboarding, PO creation, invoice matching, supplier data entry.\n\n**Insurance Brokers:** \\\n_(Carrier Portals + Brokering Platforms)_\\\nSubmit client intake across carrier portals, extract quotes, compare premiums, update internal systems.\n\n**Healthcare Providers:** \\\n_(EHRs + Lab & Payer Portals)_\\\nTransfer patient data between intake forms, manage prior authorizations, coordinate labs and payers.\n\n**Revenue Cycle Management Teams:** \\\n_(RCM Platforms + Payer Portals)_\\\nEligibility checks, claim submissions, denial follow-ups, payment posting, EOB reconciliation.\n\n**Finance & Operations Teams:** \\\n_(ERP + Legacy Finance Systems)_\\\nAP/AR automation, reconciliations, reporting, inventory updates.\n\n**Retail & Store Operations:** \\\n_(POS + Accounting Systems)_\\\nSales reconciliation, pricing updates, transaction reporting.\n\n**Pharmacy Operations:**\\\n_(Pharmacy Management Systems + Distributor Portals)_\\\nPrescription processing, insurance claim submission, inventory reconciliation.\n\n**Logistics & Transportation Teams:** \\\n_(TMS + Carrier Portals)_\\\nLoad booking, carrier updates, shipment tracking, document uploads, freight invoice reconciliation.\n\n**Is your team also drowning in manual labour?**\n\nSign up to be a design partner today —> [www.ramain.ai/automate](https://www.ramain.ai/automate)\n\n![uploaded image](/media/?type=post&id=97571&key=user_uploads/2267746/16773a2a-f59e-4e17-af88-e5d0c65c90a2)\n\n", "url": "https://www.ycombinator.com/launches/PNj-ramain-teach-ai-to-use-your-legacy-systems-desktop-applications-and-web-portals-just-like-a-human", "votes": 150, "created_at": "2026-02-06T03:22:35.642Z" } ] }, { "id": 31146, "name": "Moritz", "slug": "moritz", "former_names": [ "https://www.arcline-ai.com/", "Arcline AI", "Arcline" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ba9cb936197827cdb07b7561ff78521aed096ae7.png", "website": "http://moritzlegal.com/", "all_locations": "Oslo, Oslo, Norway", "long_description": "Moritz is a global AI-native law firm that will handles legal work with same day turnaround.\r\n\r\nOur lawyers have closed $ 3bn in deals with an average turnaround of 4-hours. 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$180K", "equity_range": "0.10% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93446, "title": "Founding BDR", "url": "https://www.ycombinator.com/companies/moritz/jobs/mLJtw4g-founding-bdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.05% - 0.15%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 101258, "title": "Founding Commercial Attorney", "url": "https://www.ycombinator.com/companies/moritz/jobs/9vMaf2h-founding-commercial-attorney", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$180K - $250K", "equity_range": "0.20% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 103338, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/moritz/jobs/04MIt4f-founding-account-executive", "location": "New York, NY, US / San Francisco, CA, US / Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $110K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 105320, "title": "Founding Product Designer", "url": "https://www.ycombinator.com/companies/moritz/jobs/SmndAaw-founding-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$120K - $180K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 110253, "title": "Founding Full-Stack Engineer ", "url": "https://www.ycombinator.com/companies/moritz/jobs/uJfcvR1-founding-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.10% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "React", "TypeScript", "Next.js", "AI Agents" ] } ], "news": [ { "title": "Y Combinator alum Moritz raises $9m to build a law firm supercharged with AI | Sifted", "url": "https://sifted.eu/articles/y-combinator-alum-moritz-raises-9m", "date": "May 05, 2026" }, { "title": "AI-Powered Law Firm Moritz Secures $9 Million in Seed Funding - Business Insider", "url": "https://www.businessinsider.com/moritz-ai-law-firm-seed-funding-y-combinator-2026-5", "date": "May 04, 2026" } ], "launches": [ { "id": 97011, "title": "Moritz: AI-native legal services for fast moving companies 👩🏻‍⚖️", "tagline": "We handle your legal work, with elite lawyers & same-day turnaround", "body": "We’re [Pamir](https://www.linkedin.com/in/pamirehsas/) and [Stefan](https://www.linkedin.com/in/stefan-mandaric/) - founders of [Moritz](http://moritzlegal.com/) 👋\n\n**TL;DR**\n\nMoritz provides AI-native legal services to fast moving companies. Our AI does 80% of the work, so you pay our lawyers only for the final 20%.\n\nLet us resolve your legal issues faster. We use elite startup lawyers and offer flat upfront pricing. Book a [demo](https://cal.com/riddhibajaj/moritz-discovery-call) or email [contact@moritzlegal.com](mailto:contact@moritzlegal.com).\n\n\n\n**🤯 The Problem**\n\nI’m a former outside counsel to OpenAI and even there – at a company with more money than most – I couldn’t believe how broken the legal experience was:\n\n* **Slow** - I often saw even simple cases get held up for weeks in legal\n* **Opaque billing** - companies never knew what something would cost until they got a giant bill a month later\n* **Not-AI native** - most lawyers would start each project from scratch, instead of taking advantage of AI\n\n**🤖+👩🏻‍⚖️= The Solution**\n\nMoritz is a new way of handling your legal work, one that merges top-tier lawyers with the power of AI. \n\nWe’ve built a bench of top-tier startup lawyers - folks from top schools (Harvard, Stanford, Oxford) and leading firms (Cooley, Goodwin, Fenwick). \n\nOur lawyers start with first drafts generated with AI, and then do final revisions, which ends up reducing the work by 80%. This means you pay less, but more importantly, your legal matters can often be handled same-day.  \n\n**No other law firm today offers this kind of speed.**\n\n## 🧐 **Why should you trust us?**\n\nWe’re founders serving other founders. In the past few months, we’ve helped 50+ companies across the US and Europe. \n\nBuilding a startup is hard, and hearing how we’re simplifying legal work for other founders has been the highlight of our journey:\n\n> Moritz delivered our MSA the same day for $750. They move at startup speed, understand our business, and keep costs founder-friendly\n\n\\- Chetan, YC-backed founder at Rhizome AI\n\n> Moritz delivered fast, actionable guidance on a complex corporate issue - exactly what I want from lawyers in the AI era\n\n\\- Perry, YC-backed founder at Arylla\n\n> Moritz lets us move fast without breaking things or worrying about legal risk\n\n\\- Saksham, YC-backed founder at Cardboard\n\n> Moritz delivered everything we needed to launch our product at a fraction of the costs from a BigLaw firm. They also uncovered mistakes in past legal work we’d received from other law firms.\n\n\\- Cathrine, founder at Nordic Brain Tech\n\n# 👩🏻‍💻 **How does it work?**\n\n**1. Forward to Moritz:** A contract lands in your inbox full of redlines. Or you need something drafted from scratch. No matter what it is, forward it to Moritz [here](https://app.moritzlegal.com/), with a description on what you’re trying to get done. \n\n**2. Upfront flat fee:** Before our lawyers start working, you’ll know exactly what it costs. No surprise bills, no opaque “we’ll see how long it takes”-disclaimers. \n\n**3. AI does the first 80%**: Our AI drafts the first pass, pulls relevant templates, playbooks, precedent data, industry data, your attachments and customer data. \n\n**4. A top startup lawyer reviews 20%:** An elite startup lawyer reviews, revises, answers your questions and applies judgment to your situation. This is the part you’re paying for. \n\n**5. Same-day turnaround:** Because the heavy lift is already done, we can often turn work same-day. \n\n**Slack-integration**: We can also plug into Slack and operate like your fractional general counsel - on call whenever you need us. \n\n## **🧑‍🤝‍🧑 Who we are and how you can help**\n\nPamir is lawyer and former outside counsel to OpenAI and Google, and Stefan is an AI engineer (ex-Fulbright at MIT). \n\nWe’re on a mission to build the legal services we always wanted, and we’d love for you to join the mission.\n\n* If you have an upcoming legal matter, we’d love to help. Book a demo [here](https://cal.com/pamire/30min) \n* If you know founders who’d benefit, please share this with them\n* If you can recommend any truly elite lawyers, we’d love an intro\n\n![uploaded image](/media/?type=post&id=97011&key=user_uploads/2551519/34e6ef9e-d7e4-4fd2-b816-f35d39e343e0)\n\n", "url": "https://www.ycombinator.com/launches/PEh-moritz-ai-native-legal-services-for-fast-moving-companies", "votes": 253, "created_at": "2026-01-21T15:34:32.847Z" } ] }, { "id": 31147, "name": "Salus", "slug": "salus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab475a73fae950cedb2c238eb5a23d6a709d5cb2.png", "website": "https://www.usesalus.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that.\r\n\r\nWe’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. ", "one_liner": "Guardrails to validate your agent's actions before they execute", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770354850, "tags": [ "Developer Tools", "B2B", "API", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/salus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/salus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/salus-dev/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab475a73fae950cedb2c238eb5a23d6a709d5cb2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2134297, "full_name": "Vedant Singh", "title": "Founder/CTO", "founder_bio": "Building to validate your AI agent's actions before they execute\n\nAI researcher and formerly @Stanford CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thevedantsingh/", "x_url": "https://x.com/thevedants1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb85a6b93f54bf5dfe9bf73ff7696fb9b3b03f51.jpg" } ], "jobs": [ { "id": 95662, "title": "Founding GTM / BDR — AI Agent Infrastructure", "url": "https://www.ycombinator.com/companies/salus/jobs/S2nl2Hx-founding-gtm-bdr-ai-agent-infrastructure", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Contract", "role": "Sales", "role_type": null, "salary_range": "$35 - $45 / hourly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 110168, "title": "Founding SWE / MLE", "url": "https://www.ycombinator.com/companies/salus/jobs/6xN06s6-founding-swe-mle", "location": "San Francisco, CA, US / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$250K - $500K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 97574, "title": "Salus - Runtime guardrails that validate AI agent actions before they execute", "tagline": "Salus checks your agent's actions, blocking incorrect ones and providing feedback to guide retries", "body": "### **TL;DR:**\n\n**Salus is an API that wraps around your agent and checks its actions at runtime, blocking incorrect ones and providing immediate feedback to guide retries.**\n\nWe’re Kevin and Vedant, former roommates at Stanford who studied CS, now building Salus full-time.\n\n### 😔**The problem:** \n\nYour agent processed a refund without looking up the order, costing you thousands. It emailed your top lead using hallucinated data, ruining the deal. You only found out three hours later from a support ticket or an angry email.\n\nEvals, output scoring, and observability are all necessary—but all reactive. They can reduce the likelihood of these problems occurring, but there's no solution that inspects an action as it’s about to execute. Salus does that.\n\n**Ask:** If you are deploying agents and want to improve their correctness we’d love to help. Book a demo [here](https://calendly.com/d/cycy-fbc-fyj/salus-demo), and we can onboard you immediately with just a pip install and a few lines of code.\n\n### 💻 **Our Solution:** \n\n\n\n**How Salus validates an action:**\n\n1. Actions must be **grounded in evidence**: Salus maintains an evidence cache for each run that every proposed action is validated against. Evidence includes all outputs from prior tool calls and the entire conversation history.\n2. It must **adhere to policy**: Write constraints in YAML, markdown, or plain English. Salus compiles them into runtime checks that are version-controlled, diffable, and shadow-testable\n3. And **more**: PII detection, budget/loop protection, idempotency, human-in-the-loop escalation, content moderation\n\n**Self-repairing:** When Salus blocks an action, the agent receives structured feedback to guide a retry. In our benchmarks, **58%** of blocked actions recover and complete the task correctly.\n\n### 📊 **Benchmarks:** \n\nWe tested Salus on τ²-bench and ODCV-Bench. On τ²-bench, agents with Salus follow policies more reliably, at up to **60% lower cost**. On ODCV-Bench, Salus **reduced misalignment by 52%** on average across 12 frontier models (see below).\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/e48b27f6-2e13-4d40-a9a4-13135ff981bc)\n\n### ➕ **Other Features:** \n\nWhile we believe the missing piece is runtime validation, we know **evals and observability** are crucial. That’s why we incorporate all three in **one centralized product**. Using templates and LLMs, we generate thousands of both adversarial and realistic evals that have full context of your agent’s domain.\n\nContact us: [founders@usesalus.ai](https://founders@usesalus.ai)\n\n![uploaded image](/media/?type=post&id=97574&key=user_uploads/1940292/cc3d0be7-941f-46ef-be8f-1294b9148073)\n\n", "url": "https://www.ycombinator.com/launches/PNm-salus-runtime-guardrails-that-validate-ai-agent-actions-before-they-execute", "votes": 30, "created_at": "2026-02-06T11:20:42.138Z" } ] }, { "id": 31149, "name": "EigenPal", "slug": "eigenpal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2b1d5849be66ecb8111d6f209625734882c46e5.png", "website": "https://www.eigenpal.com/", "all_locations": "San Francisco, CA, USA", "long_description": "EigenPal.com automates your document processing workflows with AI. KYC docs, invoices, claims, shipping forms, contracts, receipts, loan docs - we automate that. Works on messy scans, handwritten forms, third-party docs. Powerful workflow builder and team functionality. On-prem ready or use our cloud.", "one_liner": "AI Document Workflows for Enterprises", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1768698065, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/eigenpal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/eigenpal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/eigenpal", "x_url": "http://x.com/eigenpal", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2b1d5849be66ecb8111d6f209625734882c46e5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2221380, "full_name": "Matej Novak", "title": "Founder/CEO", "founder_bio": "Co-Founder @ EigenPal - automating enterprise document workflows with AI.\nMIT and Imperial London CS\n3 time founder of B2B AI companies", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/novak-matej/", "x_url": "https://x.com/novakmatej1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c4ec74508e9582c020af41c9798dddbde664f28.jpg" }, { "user_id": 2248119, "full_name": "Jedrzej Blaszyk", "title": "Founder/CTO", "founder_bio": "Co-Founder @ EigenPal - automating enterprise back-office with AI. Previously engineer at Elastic and Yelp. Imperial College London CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jedrzej-blaszyk/", "x_url": "https://x.com/jedr_blaszyk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35a29c02fed5e883d8a54eb1716d63909e965eb2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97202, "title": "EigenPal: AI Document Workflows", "tagline": "EigenPal automates enterprise document processes with AI", "body": "**TL;DR:** EigenPal automates your document processing workflows with AI. If you have humans reading documents and typing data into systems - KYC docs, invoices, claims, shipping forms, contracts, receipts - we replace that. Works on messy scans, handwritten forms, third-party docs. Beautiful workflow builder, testing, and team functionality. On-prem ready or use our cloud. Working with 2 large European banks on loan automations already.\n\nTry on: [**eigenpal.com**](http://eigenpal.com)\n\n**2 minute demo -** \n\n**What We Learned**\n\nWorking on back office document automation, we kept hearing the same questions:\n\n* _\"How do I know this workflow will actually work before I bet my ops on it?\"_\n* _\"I aim to have 100 workflows. How will I monitor them all?\"_\n* _\"Can this run in our cloud? Data can't leave our infrastructure.\"_\n* _\"Our files have contracts, amendments, and extensions that reference each other. Can you piece that together?\"_\n\nTraditional automation tools were built for deterministic processes and they're not designed for AI. AI is a game changer for document processing, but businesses still can't trust it at scale. Why? Evals and monitoring aren't built in. And most new platforms can't run on-prem.\n\n![uploaded image](/media/?type=post&id=97202&key=user_uploads/2221380/d651a1db-2002-456e-9c18-55d290083745)\n\n**The Solution: A Platform Where You Can Trust AI Workflows**\n\nEigenPal is built around one principle: like any employees you entrust work to, you need to trust your workflows before you deploy them and monitor them after.\n\n* **Agentic workflow builder.** Our AI workflow builder let’s you create workflows with easy in your natural language. It can even iterate on a workflow on a test dataset to tune accuracy.\n* **Eval-first.** Before any workflow goes live, test it against your historical documents. See exactly what accuracy you're getting. Deploy only when you're confident. **Set up a feedback loop in production** so workflows are adjusted with feedback.\n* **Document-centric.** Upload files directly, no public URLs needed. Built-in storage plus a powerful template filler to generate polished output docs from your extracted data.\n* **Configure everything.** Choose your OCR/VLM, LLM, configure every step of the pipeline separately. Access built-in tracing for workflows in our app or export via OpenTelemetry.\n* **Monitor hundreds of workflows at once.** One dashboard showing costs, compliance logs, and failures across every workflow. Know immediately when something drifts.\n* **Collaborate with your team.** Org workspaces let you share workflows, templates, and results with colleagues. Build once, use across your team.\n* **On-prem or cloud.** Runs in your infrastructure with your LLMs, or use our hosted version. Your choice.", "url": "https://www.ycombinator.com/launches/PHm-eigenpal-ai-document-workflows", "votes": 29, "created_at": "2026-01-27T01:39:14.623Z" } ] }, { "id": 31151, "name": "Sparkles", "slug": "sparkles", "former_names": [ "Litmus", "Flics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fa726d414c3f4d378fa6af116bb14e3abb29e0f.png", "website": "https://sparkles.dev", "all_locations": "London, England, United Kingdom", "long_description": "Sparkles is like Lovable for existing projects, so even Sharon from Marketing can change the button styling on the front page without going back and forth with the dev team.\r\n\r\nSomeone technical connects their GitHub to Sparkles, sets up the repository and environment variables, and then anyone on the team with a @yourcompany.com email can log in on Sparkles and create pull requests without needing to know what Git is.", "one_liner": "Make everyone on your team an engineer", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1768436882, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sparkles", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sparkles.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/sparkles-dev", "x_url": "https://x.com/Sparklesdotdev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fa726d414c3f4d378fa6af116bb14e3abb29e0f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2590397, "full_name": "Ai Daniil Bekirov", "title": "Founder/CEO", "founder_bio": "20 | 🇺🇦\n\nI dropped out of University College London to build Sparkles (W26).\n\nPreviously worked at Iterate.com (founded by Jonas who was previously the co-founder and CTO of Monzo. Backed by OpenAI, Index etc.) and StructuredAI (F25)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aidaniilbekirov/", "x_url": "https://x.com/aidaniil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f07af39014457a4d2ff63358c4e3ccd33c6c034a.jpg" } ], "jobs": [ { "id": 107152, "title": "Founding Engineer (London)", "url": "https://www.ycombinator.com/companies/sparkles/jobs/ttwqpbX-founding-engineer-london", "location": "London, England, GB / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£100K - £150K GBP", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "TypeScript" ] }, { "id": 107153, "title": "Founding GTM (London)", "url": "https://www.ycombinator.com/companies/sparkles/jobs/vDlglwX-founding-gtm-london", "location": "London, England, GB / San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "£70K - £100K GBP", "equity_range": "0.50% - 0.70%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 97488, "title": "Sparkles - Lovable for existing projects", "tagline": "Make everyone on your team an engineer ✨", "body": "Hey, I’m **Dan** - Founder of **Sparkles (W26)**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/2522ae4d-df6f-4327-bdf4-03a05bc9493b)\n\n**Sparkles is like Lovable for existing projects**, so even your hypothetical Sharon from Operations can change the button styling on the front page without going back and forth with the dev team.\n\n[Sparkles launch video](https://youtu.be/v6u7wlGYPIU)\n\n**The problem**\n\nIf you’ve ever tried onboarding a non-technical person onto Claude Code / Cursor / Codex, you’ve definitely heard at least one of these:\n\n* “I think I pushed the `.env` to GitHub… is that bad?”\n* “Terminal is asking for my password but nothing is showing—my keyboard broke.”\n* “It tells me to run `git push --force`… is that like a Star Wars thing ?”\n* “Do I run `npm install` every time I open the laptop?”\n\nThis is what happens when a non technical person interacts with the CLI and dev server. It is a non user friendly environment that takes time to learn.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/943d834c-9a37-4152-b3ec-3c015f87bb9f)\n\nSparkles is a web platform that fully abstracts from local development. Your GTM/Designer/Marketing team don’t need to know what is git, what is a cli, what is a dev server etc. They will see a lovable-like UI with the preview and the chatbox, so they can ship the updates as fast as they can type ✨\n\nWhen someone makes a change on Sparkles they have an option to “upload” the changes, which essentially creates a Github PR for your engineer to review.\n\nWe are working on Enterprise level rulesets for PR creation, commit batching etc, so you don’t have to review thousands of PRs if you have a bigger team.\n\n**The Team**\n\n* Ai Daniil Bekirov - CEO\n\n Legally AI. UCL dropout. Prev @ [iterate.com](http://iterate.com), StructuredAI (F25)\n\n**The ask**\n\nIf you want to cut down your backlog, or have non engineers who want to use cutting edge AI tools without the _steep_ learning curve, we’d love to talk. Intros to VPs of Operations, Marketing and Sales are appreciated 🙏\n\n**Email:** [dan@sparkles.dev](mailto:dan@sparkles.dev)\n\n![uploaded image](/media/?type=post&id=97488&key=user_uploads/2590397/84685a34-3e29-4220-a0d6-474197cc61ff)\n\n", "url": "https://www.ycombinator.com/launches/PMO-sparkles-lovable-for-existing-projects", "votes": 164, "created_at": "2026-02-04T07:27:06.748Z" } ] }, { "id": 31152, "name": "Fern", "slug": "fern-bot", "former_names": [ "ProactiveAI", "Ishiki Labs", "Fern (Formerly Ishiki Labs)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/937df36cb9a1992b6e2ab4f4415451f1ad6f7174.png", "website": "https://fern.bot", "all_locations": "", "long_description": "Fern provides RL environments for robotics companies powered by a foundational world model. Companies can plug and play their robot policies completely in software with varying starting scenes of their production environment, and we'll produce RL heads on top of your existing policies to improve speed and success rate. Our customers get a continual learning flywheel where their production robots improve every week.", "one_liner": "RL environments for robotics companies", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1768297786, "tags": [ "Robotics", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fern-bot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fern-bot.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/fernbot", "x_url": "https://x.com/ishikilabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ishiki-labs ", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/937df36cb9a1992b6e2ab4f4415451f1ad6f7174.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9aa481a01c92aff3ef9ad6396f367ccbff24cd03.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2972207, "full_name": "Amit Yadav", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Ishiki Labs (W26). Previously: Research Scientist, first in LlaMA team training multimodal LLMs and then in Reality Labs at Meta training video assistant for smart glasses. PhD from Purdue University with 20+ publications at top conferences like CVPR, NeurIPS, and ICASSP", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amit-kumar-singh-yadav", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5df16b6162b4b3786dc3815473d7c24badaeff21.jpg" }, { "user_id": 3201791, "full_name": "Robert Xu", "title": "Founder", "founder_bio": "Co-founder & CTO of Ishiki Labs (W26). Previously worked on multi-modal AI and Orion AR glasses at Meta and research infra at Citadel Securities.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-xu/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0946e3006e82ae99c29383b458713393504b6926.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97949, "title": "Fern – Realtime Socially Aware AI for Meetings", "tagline": "Fern joins every meeting as–either invisible copilot or active participant–so every conversation runs like a top 1% professional", "body": "**TL;DR**\\\n[Fern](https://www.ishikilabs.ai/download) is a realtime AI that joins your meetings as either an invisible copilot or an active participant– your choice! It realtime proactively coaches you through every conversation so you always show up like a top 1% professional.\n\nHey everyone, we're Amit and Robert, cofounders of Ishiki Labs.\n\n**The Problem**\n\n_“AI meeting assistant” has become synonymous with a note-taker waiting to summarize at the end. That's not a meeting assistant. That's a fancier transcript._ \n\nBuilding a realtime AI meeting copilot is hard in two distinct ways.\n\nThe invisible assistant must understand the live meeting context at blazing speed and surface the right thing at the right moment – questions to ask, things you're missing, who you're talking to. Timing is everything. Current AI is purely reactive. Making AI an active participant in discussion is even harder. AI has no social awareness – every pause becomes a prompt, every gap an invitation to speak.\n\nAI that is socially aware and proactive is an unsolved problem. That's what we're building.\n\nThe cost of this gap is real. Cofounders, AEs, recruiters, investors – in discovery calls, sales meetings, investor conversations. The moments that matter most, and AI is absent from all of them.\n\n**How Fern Solves it**\n\n[Fern](https://www.ishikilabs.ai/download) joins your meetings as a true participant or an invisible copilot – your choice. It has two modes:\n\n**Full Presence**: Fern joins visibly, listens, and speaks up when invited. It offers realtime opinions, deep research, and can complete tasks like filing notes or sending emails on the spot. Built for internal product, engineering, and strategy meetings. Watch the demo- \n\n**Shadow Mode**: Silent and invisible to everyone else. You get a private realtime feed: live summaries, questions to ask, things you're missing, context on who you're talking to. A sharp colleague whispering in your ear – with fully customizable insights. Built for client calls, investor meetings, and any conversation where you want invisible support.\n\nBoth modes include a post-meeting summary, transcript, and full insights.\n\n**Team**\n\nWe're both ex-Meta. Amit is an AI Scientist from LLaMA (now Meta Super Intelligence Lab) and Reality Labs – PhD in AI, 20+ publications at NeurIPS/CVPR, trained multimodal assistants for smart glasses. Robert was systems and infra lead in Reality Labs, with four years building low-latency multimodal systems at Meta and Citadel Securities. \n\nOur mission: make AI socially timed and contextually aware – so every conversation you have runs like a top 1% professional.\n\n**Our Ask**\n\nDownload [Fern](https://www.ishikilabs.ai/download) and if you're a founder or AE who lives in high-stakes conversations and don’t want to settle for AI note-takers, reach out: [team@ishikilabs.ai](mailto:team@ishikilabs.ai)", "url": "https://www.ycombinator.com/launches/PTp-fern-realtime-socially-aware-ai-for-meetings", "votes": 26, "created_at": "2026-02-19T15:09:16.569Z" } ] }, { "id": 31153, "name": "Perfectly", "slug": "perfectly", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13607170eb2ca92be8c6b3fe617797b6b16e279a.png", "website": "https://www.perfectly.so/", "all_locations": "San Francisco, CA, USA", "long_description": "Perfectly is the first AI-native Recruiting OS.\r\n\r\nSince starting YC, we’re already helping top startups like Giga, Corgi, LlamaIndex, Porter, and dozens more hire faster.\r\n\r\nWe’re seeing:\r\n-> 4× faster hiring\r\n-> 10× candidate volume\r\n-> 2× higher interview pass rates\r\n\r\nBehind the scenes, it’s even more impressive:\r\n-> 20x higher recruiting efficiency: from 20 hours to 1 hour\r\n-> 250% higher candidate interview retention\r\n\r\nWe automate the entire recruiting function: sourcing, outreach, screening, and qualification. Interview ready candidates just show up in Slack. \r\n\r\nWe recently launched our recruiting agent Paul that provides each candidate white glove treatment so they're closed even before your offer call\r\n\r\nHiring should work like a recommendation system.\r\n\r\nLearn more now at perfectly.so\r\n", "one_liner": "The AI-native Recruiting OS", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1768534230, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "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/perfectly", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/perfectly.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hireperfectly", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13607170eb2ca92be8c6b3fe617797b6b16e279a.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": 179090, "full_name": "Victor Luo", "title": "Founder/CEO", "founder_bio": "I help startups hire 11x engineers\n2x founder | ex-ML Scientist at TikTok", "is_active": true, "linkedin_url": "https://linkedin.com/in/victor-luo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e44f5bc2512a590fc3031f742e69bdbd30b81cd.jpg" }, { "user_id": 2976280, "full_name": "Zhuang (Gary) Luo", "title": "Founder/CTO", "founder_bio": "Building an AI-native recruiting platform\nex-MLE at Meta and TikTok", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhuang-luo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c84a822bc695c72cf5ac94a201c7cef65059055b.jpg" }, { "user_id": 2976285, "full_name": "Huimin Xie", "title": "Founder", "founder_bio": "ex-Tech lead & Senior MLE at TikTok", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/huimin-xie/", "x_url": "https://x.com/WeymanX15075", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c565a591ea5772bc570c5a2a3231ad3db9440414.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97008, "title": "Hire with Perfectly✨: Your AI Recruiting Agency", "tagline": "We fill roles in days. Let Perfectly send you 10x the candidates and double your interview pass through rate", "body": "Hi, we’re [Victor](https://www.linkedin.com/in/victor-luo/) and [Gary](https://www.linkedin.com/in/zhuang-luo/) - cofounders of Perfectly👋\n\nPerfectly uses AI to fill roles by automating the grunt work of identifying, reaching out to, and screening qualified candidates. We are obsessed with one thing – **providing the highest quality candidates**.\n\n**Launch Exclusive Offer: We’ll undercut your current agency by 50%** for your first role (or give you an exclusive discount), while filling your pipeline with BETTER candidates - all in the same day. Just mention YC Launch in your onboarding call.\n\nBook a demo [here](https://calendly.com/victor-perfectly/30min).\n\nLaunch Video: \n\n**How We Started:**\n\nHave you ever tried to fill a role with a recruiting agency? When we worked at TikTok, we sat through over 800 agency-sourced interviews. The pipelines moved slowly, the candidates were never top tier, and forget about filling any tough roles – most recruiters would rather ghost me. \n\nAfter working at TikTok on the world’s most advanced AI recommendation, we couldn’t believe how outdated our recruiting process was in comparison. \n\n**Our Solution:**\n\nOur AI Recruiter has infinite memory and context to calibrate to your preferences deeper than any agency ever could.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/8a1d922c-db08-4710-9903-4e07a7664f8e)\n\nWe do deep research into each candidate. Beyond surface level experience, it predicts their interests, trajectory, and how they’ll actually do in the interviews and on the job.\n\nThen we’ll reach out and screen the best candidates, and they show up straight in your Slack.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/1ffb94ec-86ff-4e8e-9b12-f4adf09f4c46)\n\nWhen you approve, we’ll send them your calendar link to schedule an interview directly.\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/06c50a8d-035c-4ca4-87a9-f96738f27be7)\n\nWe only get paid when we fill your role. Often, **we can fill your interviewing schedule the same day as your intake**. The most amazing thing is that we can do this while keeping the quality bar high. Customers tell us that Perfectly’s candidates pass interviews 2x more often, and with 10x the volume of a traditional agency.\n\n**Why You Should Trust Us:**\n\nIt’s working so well, one of our clients fired all their other agencies two weeks into using us.\n\n> We moved off Paraform and canceled our Juicebox subscription because of the velocity we saw from Perfectly - Caleb from Series A Stealth Startup\n\n**Launch Exclusive Offer:**\n\nGive Perfectly a try. **We’ll undercut your current agency by 50%** for your first role, while filling your pipeline with BETTER candidates - all in the same day.\n\nIf you don’t currently use an agency but want to try, we’re offering a YC Launch exclusive discount. Just mention YC Launch in your onboarding call.\n\nBook a demo [here](https://calendly.com/victor-perfectly/30min).\n\n![uploaded image](/media/?type=post&id=97008&key=user_uploads/179090/bb395a9b-579a-40de-809e-caa7bf81d9ea)\n\n", "url": "https://www.ycombinator.com/launches/PEe-hire-with-perfectly-your-ai-recruiting-agency", "votes": 26, "created_at": "2026-01-21T15:44:58.964Z" } ] }, { "id": 31154, "name": "Orthogonal", "slug": "orthogonal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec4d813cd81be3598547a305102414461123fea9.png", "website": "https://orthogonal.com", "all_locations": "San Francisco, CA, USA", "long_description": "APIs weren't built for agents. Orthogonal fixes that. We enable agentic payments so any agent can instantly discover, access, and pay for hundreds of APIs. No subscriptions, no sales calls, just pay per use. API providers list once and get paid every time an agent calls their API.", "one_liner": "Agentic Payments for APIs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1769466101, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/orthogonal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/orthogonal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/orthogonalsh", "x_url": "https://x.com/orthogonal_sh", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ec4d813cd81be3598547a305102414461123fea9.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": 334152, "full_name": "Christian Pickett", "title": "Founder/CEO", "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\nPrev. Vercel & Coinbase", "is_active": true, "linkedin_url": "https://linkedin.com/in/christian-pickett", "x_url": "https://x.com/chrisspickett", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f622ed590a91e278a5605acc7d60889f0d878d0e.jpg" }, { "user_id": 1380929, "full_name": "Bera Sogut", "title": "Founder/CTO", "founder_bio": "Cofounder @ Orthogonal - Agentic Payments for APIs\n2x ACM ICPC World Finalist | Prev. Google, Amazon Robotics", "is_active": true, "linkedin_url": "https://linkedin.com/in/berasogut", "x_url": "https://twitter.com/berasogut1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6be9f4ca7dd5529df3e1133ab15032fda28e5f05.jpg" } ], "jobs": [ { "id": 114623, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/orthogonal/jobs/aExdocL-senior-software-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115415, "title": "Growth Lead", "url": "https://www.ycombinator.com/companies/orthogonal/jobs/hnvSlmj-growth-lead", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115416, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/orthogonal/jobs/30qoV7B-design-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Orthogonal Is Betting the Agent Economy Needs Better Infrastructure, Not Just Better Models - TheStreet Crypto: Bitcoin and cryptocurrency news, advice, analysis and more", "url": "https://www.thestreet.com/crypto/newsroom/orthogonal-is-betting-the-agent-economy-needs-better-infrastructure", "date": "Jun 25, 2026" } ], "launches": [ { "id": 97308, "title": "Orthogonal - Agentic Payments for APIs", "tagline": "APIs weren’t built for agents, we fixed that.", "body": "**TL;DR:** APIs weren’t built for agents, we fixed that. Developers and agents get instant access to hundreds of APIs through our MCP or SDK. No key management, no billing headaches, pay as you go. API providers list once and become instantly discoverable. \n\n_Ask:_ We’d love an intro to teams building agents to understand how they’re handling paid APIs today. Contact us at [founders@orthogonal.com](mailto:founders@orthogonal.com)\n\n\n\n**The Problem:**\n\nAI agents are about to become the biggest consumers of APIs on the internet. But they struggle to access tools.\n\nMCP helped standardize tool calling, but created fragmentation. Some services have MCPs, others don't. Some map to single APIs, others wrap entire workflows. Agents end up with 30+ tools, bloating context.\n\nWorse, any MCP requiring identity or payment means managing accounts, API keys, billing, and auth across dozens of services. And most APIs don't even have MCPs.\n\nYou could have your agent find APIs, sign up, handle auth, and buy credits, but the failure rate is high. The entire API economy was built for humans.\n\nMeanwhile, API providers are leaving money on the table. Billions of agents could be paying for their APIs right now, but they have no way to find or transact with them.\n\nThese APIs are locked behind API keys and human payment methods, which agents do not have access to.\n\n**The Solution:**\n\nOrthogonal is where agents go to find and pay for APIs.\n\n**For AI Agents and Developers:**\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/4a24efb7-cfff-4dec-88fb-5b3afaba2dc7)\n\n* Add our MCP to your agent for instant access to hundreds of paid APIs\n* Or use our SDK as a single, unified gateway to those APIs\n* You purchase Orthogonal credits, and we handle paying the APIs\n* Natural language search: \"I need an API to get Garry Tan’s latest tweets\"\n* No context bloat, no API keys to manage, no billing relationships to maintain\n* We can handle rate limits, retries, and dynamic routing\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/10cc2d87-3e65-4897-bdd7-c047d3393b38)\n\n**For API Providers:**\n\n* List your API once, and it's instantly discoverable by every AI agent and developer using our platform\n* Get paid per request. No subscriptions, no invoices, no payment disputes\n* Set your own prices, including dynamic pricing\n* We also enable x402 on your APIs\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/29c9cec0-f260-446b-9d88-9ee284642bdb)\n\nWe're starting with **Search, Scraping, Datasets, and AI Model APIs**.\n\n**About Us:**\n\nWe're Christian and Bera. We met at McGill and have been close friends ever since. Christian worked on payments at Coinbase and billing at Vercel. Bera worked on reCAPTCHA and Maps APIs at Google. Between the two of us, we've lived in payments and API infrastructure, and this problem sits right at the intersection.\n\n![uploaded image](/media/?type=post&id=97308&key=user_uploads/334152/cd2b5a57-5b00-45f0-aeb8-bb15a3e7bc2e)\n\n**The Ask:**\n\n* Intros to teams building AI agents that need easy access to paid services\n* Intros to teams managing APIs across many platforms who'd love to unify them\n\nIf you are a developer or have agents, sign up to get $10 of credits towards API usage : \n\nWe appreciate our early believers: Precip (YC W24), Riveter (YC F24), Andi (YC W22), Shofo (YC W26), Fiber AI (YC S23), Sixtyfour (YC X25), Olostep, ScrapeGraph, Linkup\n\n**Find us:**\n\nWebsite: \n\nLinkedin: \n\nX: ", "url": "https://www.ycombinator.com/launches/PJU-orthogonal-agentic-payments-for-apis", "votes": 31, "created_at": "2026-01-29T23:34:27.018Z" } ] }, { "id": 31155, "name": "Q2Q", "slug": "q2q", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c42d7cabd8a666e0d6369ef40a058fca967f90.png", "website": "https://www.tryq2q.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Q2Q is the AI-native outbound engine for deal sourcing. Tell us the types of companies you want to buy, and we'll get qualified meetings booked for you. \r\n\r\nYou can think of Q2Q as your personal team of AI interns. You give us your buying criteria, and we'll go out and find companies, write personalized emails, and get first calls booked with business owners for you. As the human in the loop, you'll approve messages before we send. Q2Q handles the sourcing work so you can focus on evaluating great deals.", "one_liner": "We help private equity teams find acquisition targets faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1768420792, "tags": [ "Fintech", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/q2q", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/q2q.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/q2q-ai", "x_url": "https://x.com/tryq2q", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b6c42d7cabd8a666e0d6369ef40a058fca967f90.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3082094, "full_name": "Brianna Lin", "title": "Founder", "founder_bio": "Co-Founder & COO @ Copperlane | UPenn M&T", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/brianna-lin/", "x_url": "https://x.com/briannajlin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e148d2875818d32cc7e0c320484c5f1107da51b8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31156, "name": "Ventura", "slug": "ventura", "former_names": [ "Autola" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da34d67bc7bfb583fad0d2c587e602fbe787b210.png", "website": "https://www.ventura.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Ventura builds the AI workforce for distributors and manufacturers, starting with quoting and order entry. It plugs into your existing ERP, follows your SOPs, and learns your team's tribal knowledge - getting smarter with every completed task.", "one_liner": "AI Workforce for Distributors and Manufacturers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1772945697, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ventura", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ventura.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getventura", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/da34d67bc7bfb583fad0d2c587e602fbe787b210.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": 490571, "full_name": "Swen Koller", "title": "Founder/CEO", "founder_bio": "Previously founded and exited a B2B SaaS platform for wholesale distributors in Europe. MS Engineering + MBA, Harvard. Forbes 30 Under 30. Ex-BCG.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/swenkoller/", "x_url": "https://x.com/swekol", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f5c3e0e0d0ad2dc56d86d58b4001517124a376a5.jpg" }, { "user_id": 797206, "full_name": "Jack Collins", "title": "Founder/CTO", "founder_bio": "Founding Engineer at Develop Health, where I owned a product responsible for half the company’s revenue. We went 0 to $7M ARR in 14 months with a team of 5. \n\nCreated magentic, an open-source Python framework for LLMs (2k+ GitHub stars). Irish Mathematical Olympiad finalist. MS in Computing (Machine Learning), Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jackmpcollins/", "x_url": "https://x.com/jackmpcollins", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1f461ab5ac60b09ad17bda8d56292644c4f4320.jpg" } ], "jobs": [ { "id": 93338, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/ventura/jobs/SEb1p8Y-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 1.75%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Google Cloud", "Python", "TypeScript", "Next.js" ] }, { "id": 103442, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/ventura/jobs/JBaMOkO-founding-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113408, "title": "Founder’s Associate / Chief of Staff", "url": "https://www.ycombinator.com/companies/ventura/jobs/RRUsMtc-founder-s-associate-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $170K", "equity_range": "0.25% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98814, "title": "Ventura - AI Teammates for Industrial Distributors", "tagline": "We automate quoting and order processing. Distributors win more business.", "body": "Hey everyone, we’re [Jack](https://www.linkedin.com/in/jackmpcollins) and [Swen](https://www.linkedin.com/in/swenkoller/) - cofounders of [Ventura](https://www.ventura.ai) 👋\n\n**TL;DR**\n\nIndustrial distributors spend billions of dollars a year on inside sales teams whose primary job is manually typing quotes and orders into ERPs. Ventura automates that work. Reps go from doing data entry to approving AI-generated quotes. Response times drop from hours to minutes, and distributors win more business.\n\n\n\n**❌ The Problem**\n\nIndustrial distribution is an $8 trillion industry. It keeps the construction industry supplied and factories running. But the tools running it haven't kept up.\n\nA typical distributor gets hundreds of quote and order requests every day - over email, PDF, Excel, handwritten fax, and phone. Every one has to be manually read, interpreted, and typed into the ERP. By a human.\n\nThe best salespeople in the industry spend their days on data entry instead of selling.\n\n**✅ The Solution**\n\nVentura plugs into the ERP distributors already run on. Most customers are live within days. Ventura interprets the incoming request, drafts a quote or order, and provides an interface for reps to review Ventura’s output. The result then gets submitted to the ERP.\n\n**👋 The Team**\n\n![uploaded image](/media/?type=post&id=98814&key=user_uploads/490571/920c9dc4-5f6c-4f68-bc51-eb8302bda77d)\n\nSwen (CEO) — Advised steel, cement, and industrial machinery manufacturers as a consultant at BCG, then co-founded and exited a process automation platform for European wholesale distributors. While doing his MBA at Harvard, he embedded with a $2bn distributor to build their AI sales automation from scratch. That became Ventura.\n\nJack (CTO) — Has been building with AI Language Models since before they became large. Founding Engineer at Develop Health, where he automated back-office operations in healthcare with AI - the same class of problems we're solving for distributors. The company scaled from zero to $7M ARR in 14 months with a team of 5.\n\n🤝 **Our Ask**\n\nAre you a distributor or manufacturer with a large inside sales or customer service team? We'd love to show you what Ventura can do.\n\n📧 Reach out: [founders@ventura.ai](mailto:founders@ventura.ai)\n\n🌐 Request a demo: [www.ventura.ai](http://www.ventura.ai) ", "url": "https://www.ycombinator.com/launches/Phm-ventura-ai-teammates-for-industrial-distributors", "votes": 9, "created_at": "2026-03-15T16:02:21.097Z" } ] }, { "id": 31158, "name": "Terranox AI", "slug": "terranox-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.png", "website": "https://terranox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Terranox is the first vertically integrated AI-powered uranium exploration company. We find high-grade uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.", "one_liner": "The first AI-powered uranium discovery company", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1771881994, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/terranox-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/terranox-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f32ec888cb2d0eee4fa5e89a1e14a8af2c2f61f.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": 898324, "full_name": "Jade Checlair", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO of Terranox AI, the first vertically integrated AI-powered uranium discovery company. PhD in Geophysics from UChicago, ex-NASA Ames and ex-BCG mining & energy. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jade-checlair/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/833c61f4c5d5f095429bd93762d3ce63b6a29715.jpg" }, { "user_id": 2970910, "full_name": "Leeav Lipton", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO of Terranox AI, the first vertically integrated AI-powered uranium exploration company. Ex-NASA JPL researcher on remote sensing tech, 8+ years as an AI/ML scientist at Borealis AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leeavlipton", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/018deca9787dd01cf8c40d4cfb629f3d68f452a9.jpg" } ], "jobs": [ { "id": 94018, "title": "Founding Applied Scientist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/9xGzcvz-founding-applied-scientist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94134, "title": "Senior Exploration Geologist", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/ozLcPgW-senior-exploration-geologist", "location": "Saskatchewan, CA / SK, CA / Remote (SK, CA; Saskatchewan, CA)", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$115K - $185K CAD", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 94643, "title": "Summer Intern - Applied Science MSc/PhD", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/YYAgEYl-summer-intern-applied-science-msc-phd", "location": "San Francisco, CA, US", "type": "Internship", "role": "Science", "role_type": "Research", "salary_range": "$8K - $16K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104195, "title": "Fall Intern - AI/ML Engineering", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/LVMQOLw-fall-intern-ai-ml-engineering", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$5K - $12.5K / monthly", "equity_range": "", "experience": null, "visa": "Will sponsor", "skills": [ "Machine Learning", "Computer Vision", "Machine learning" ] }, { "id": 104394, "title": "AI/ML Engineer", "url": "https://www.ycombinator.com/companies/terranox-ai/jobs/TxXPS7x-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98155, "title": "Terranox AI: AI-powered uranium discovery", "tagline": "Finding the uranium deposits we need to fuel the next century with nuclear energy.", "body": "**TL;DR:** Terranox AI ([terranox.ai](http://terranox.ai)) is the first vertically integrated AI-powered uranium discovery company. We discover economic uranium deposits in North America using AI trained on 70+ years of exploration outcomes. Our mission is to find the fuel we need to power the next century with nuclear energy.\n\n\n\n⚡️ **The Nuclear Renaissance:**\n\nNuclear is experiencing a global resurgence as the only scalable clean baseload power option that can meet humanity's exploding energy needs:\n\n* **AI datacenter electricity demand** will more than double by 2030\n* Microsoft, Google, Amazon, and Meta have collectively **committed billions to nuclear power**\n* 30+ countries pledged to **more than triple global nuclear capacity by 2050**\n* In 2025, the U.S. government signed executive orders to **quadruple nuclear capacity**, with $80B+ in commitments across reactors and fuel supply chains\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/f98faf46-f9ae-4a9b-b299-2fbbd1361db4)\n\n⛽️ **The Fuel Crisis:**\n\nBut this nuclear future has one critical dependency: **uranium fuel.**\n\n* Global uranium production needs to **4x by 2050**, but we already have a **supply deficit today** with depleting stockpiles\n* The world’s largest mines will **approach end-of-life** simultaneously starting in the mid 2030s\n* New mines take **10-15 years from discovery to production**\n\n**The West needs new economic discoveries in stable jurisdictions to ensure energy security.**\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/8b02b13f-eeba-4933-a331-5a6556f57c7a)\n\n🆘 **The Bottleneck: Exploration is Broken**\n\nExploration still works like in the 1960s: slow, fragmented, guided by intuition and outsourced workflows. **Hit rates are <1%**, driving extremely high costs and decade-long timelines. Meanwhile, 70+ years of exploration data sits trapped in thousands of legacy PDFs and handdrawn maps, unused.\n\n**We're not finding deposits fast enough to power the future.**\n\n⚒️ **What We Are Building:**\n\n**Terranox AI is the first vertically integrated AI-powered uranium discovery company.**\n\nWe find uranium deposits in North America using AI trained on decades of geoscience data and exploration outcomes.\n\n**Our system does three things:**\n\n1. **Multi-modal geoscience intelligence:** Extracts and processes geoscience data from decades of fragmented sources, building a unified exploration context base\n2. **Prospectivity mapping for discovery:** Identifies high-potential areas humans would miss using uranium-specific AI models trained on decades of exploration outcomes\n3. **Sequential decision intelligence:** Determines the optimal next action to maximize information gain per dollar spent, learning from every result in real time\n\n**The result:** A compounding learning flywheel. Every drill hole (hit or miss) makes our predictions better across all projects. The more we explore, the smarter we get.\n\nWe're launching our own exploration projects in North America to ensure the nuclear renaissance has the fuel it needs.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/854295/21570b8b-dce2-4a8b-8340-7409fc467ab0)\n\n👷‍♀️👷‍♂️ **Who We Are:**\n\n**Jade Checlair - CEO & Co-Founder**\n\nPhD Geophysics (UChicago). Developed statistical methods for planetary discovery adopted by NASA flagship missions. 3.5 years at BCG leading nuclear and mining strategy. Ex-NASA Ames.\n\n**Leeav Lipton - CTO & Co-Founder**\n\n8 years building AI/ML systems at Borealis AI. Astrophysics background. Ex-NASA JPL scientist on low-cost remote sensing tech.\n\nWe met in first-year physics and have been friends for 10+ years.\n\n![uploaded image](/media/?type=post&id=98155&key=user_uploads/898324/4ee78148-0515-4578-ad43-c07e2754d020)\n\nContact us at [founders@terranox.ai](mailto:founders@terranox.ai).", "url": "https://www.ycombinator.com/launches/PX9-terranox-ai-ai-powered-uranium-discovery", "votes": 218, "created_at": "2026-02-25T03:33:05.394Z" } ] }, { "id": 31159, "name": "Sponge", "slug": "sponge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2da61e6033e85414e184773d09708a6cc75a2479.png", "website": "https://paysponge.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Sponge is the easiest way for agents to hold and spend money, and for businesses to sell directly to them.\r\n\r\nFor agents: Sponge lets agents hold funds and transact autonomously with other agents and businesses using bank accounts, cards, and crypto. Agents can autonomously purchase services such as email, browser use, and premium data without human involvement.\r\n\r\nFor businesses: Sponge makes it easy to onboard and accept payments from agents without human interaction. Businesses can sell their services directly to agents with a few clicks, no code changes required.", "one_liner": "Financial infrastructure for the agent economy", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771280774, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sponge", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sponge.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paysponge", "x_url": "https://x.com/paysponge", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2da61e6033e85414e184773d09708a6cc75a2479.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": 3141366, "full_name": "Eric Zhang", "title": "Founder", "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericzhang98", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc17776e1b229c0aae1cb4ccc9ca36c01746691.jpg" }, { "user_id": 3152529, "full_name": "Jae Choi", "title": "Founder", "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaekyongchoi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b24126b12f8ff3e1d7c54056cad5e4f147ded9b.jpg" }, { "user_id": 300418, "full_name": "Rishab Luthra", "title": "Founder", "founder_bio": "Co-founder Sponge (YC W26). Ex-Stripe Crypto.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rishabluthra", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70a14369de6defde20b6358936658f3db3e9f9fd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97911, "title": "Sponge: Financial infrastructure for the agent economy", "tagline": "The easiest way for agents to hold and spend money, and for businesses to sell directly to them", "body": "**TLDR**: \n\nSponge gives agents access to bank accounts, cards, and crypto so they can operate as **independent economic actors**. Sponge enables businesses to sell directly to agents **without human involvement**.\n\n\n\n**The Problem:**\n\nLong-running agents are starting to handle complex tasks entirely on their own. They can plan, execute, and complete multi-step workflows without human intervention. But that autonomy ends the moment a payment is involved, because transactions still require a human to manually enter payment details and authorize the charge.\n\n**The Solution:**\n\nTo solve this, Sponge built infrastructure that lets agents handle payments on their own.\n\n**Sponge Wallet** enables agents to sign up and pay for services without human involvement. Users fund their wallet once, and agents autonomously use those funds to pay for what it needs.\n\n![uploaded image](/media/?type=post&id=97911&key=user_uploads/300418/a9904dc0-f667-4060-9697-e78f4a955155)\n\n**Sponge Gateway** enables businesses to sell directly to agents. Businesses can upload their API spec and allow agents to onboard and pay for usage autonomously, without requiring a human to give a credit card or an API key. No code changes required.\n\n![uploaded image](/media/?type=post&id=97911&key=user_uploads/300418/0c13e43e-b0b7-4400-9c8c-79408aa9eaba)\n\nAs agents become increasingly autonomous and begin making decisions on their own, they need financial primitives to operate like humans. We’re building the infrastructure that makes this possible.\n\n**Our Ask:**\n\nIf you use agents (such as OpenClaw), add our [wallet skill](https://sponge.md) to let them sign up and pay for services autonomously. If you're a business, upload your API spec to [gateway.paysponge.com](http://gateway.paysponge.com) to start onboarding agents and selling to them directly, without human involvement.\n\n**The Team:**\n\nWe're a team of ex-Stripe tech leads that built Stripe's stablecoin financial accounts, stablecoin payments and core money movement systems for humans. We are now bringing those learnings to build out the financial infrastructure for the next economic actors: agents.\n\n**To give your agent an account or to sell to agents, visit [paysponge.com](http://paysponge.com) or contact [team@paysponge.com](mailto:team@paysponge.com).**", "url": "https://www.ycombinator.com/launches/PTD-sponge-financial-infrastructure-for-the-agent-economy", "votes": 31, "created_at": "2026-02-17T21:40:55.729Z" } ] }, { "id": 31160, "name": "Mango Medical", "slug": "mango-medical-inc", "former_names": [ "Mango Medical Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84022beba7ccfa3668cb9f2f7cb672ffd0b53ebc.png", "website": "https://mangomedical.io", "all_locations": "San Francisco, CA, USA", "long_description": "Mango Medical builds agentic surgical planning AI for orthopedic surgery. We deliver surgeon-ready plans in minutes instead of days. 8-figure LOI from a top orthopedic company. Pursuing FDA 510(k) clearance. We're building a future where every surgery follows a personalized plan.", "one_liner": "Foundation models for planning orthopedic surgery", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1772177133, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "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/mango-medical-inc", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mango-medical-inc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mangomedical/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mango-medical", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84022beba7ccfa3668cb9f2f7cb672ffd0b53ebc.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": 412078, "full_name": "Adrian Kilian", "title": "Founder/CEO", "founder_bio": "building AI agents for orthopedic planning. ex-dentist and voice actor. we are building a world where every orthopedic surgery is patient-specific and simulated.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adrian-kilian", "x_url": "https://x.com/thegadak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/460ecfe0ae63b8503c57e832308834d23fa3f029.jpg" }, { "user_id": 2377487, "full_name": "Jorge Padilla Perez", "title": "Founder/CTO", "founder_bio": "Research in AI, XR, and robotics in medicine — now building the foundations of AI for autonomous orthopedic surgeries.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jorge-padilla-perez/", "x_url": "https://x.com/padilla_peres", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc60aaa459c844ed4e11d41956573c4359cb03bb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98730, "title": "Mango Medical: Taking the guesswork out of orthopedic surgeries with agentic planning", "tagline": "Surgery planning takes specialized engineering teams multiple business days - Mango Medical does it in seconds.", "body": "Hey everyone 👋\n\nWe're Adrian and Jorge, co-founders of Mango Medical Inc.\n\n**TL;DR: Mango Medical builds AI Agents that take CT scans and X-Rays and plan which implant sizes and approach works.**\n\nInstead of waiting for specialized planning engineering teams to turn-around a plan over multiple business days, orthopedic implant companies work with our APIs to submit the CT scan of a patient and receive a full surgical plan within seconds, starting with shoulder replacement surgeries.\\\n\\\nOur launch video: \\\n\\\n👉 **Ask**: If you know orthopedic surgeons and orthopedic implant companies that have surgical planning needs, we'd love to partner with them to give them instant planning tools via API and give us early feedback on our upcoming planning product.\\\nSend them to or reach out to [founders@mangomedical.com](mailto:founders@mangomedical.com). \\\n\\\n**The Problem**\n\n30 million orthopedic surgeries are conducted every year, that all receive some form of medical imaging prior to surgery. \\\nRoughly 10 million of those are joint replacement surgeries that receive planning over 2 - 5 business days. This limits the use of robots and 3D printed guide systems and adds time and interruptions between when a surgeon sees the patient and when the plan can be discussed with the patient. \\\n\\\n15 million surgeries are acute fractures. Time-sensitive surgeries of high complexity, that have the same source medical imaging data, but lack the planning workflows to plan outcomes and take the cognitive load off of the surgeons. \\\n\\\nThey have to figure out how to treat their patient during the surgery, which leads to a lot of trial and error, wasted operating room time, wrong implants, complications and revision surgeries. The number 1 request from surgeons we have received was for them to be able to have patient-specific plans for these complex cases.\\\n\\\nWhen surgeries become plannable instantly, it opens the door to planning multiple scenarios and giving surgeons peace of mind that they know how to face the surgery they are entering in the operating room.\n\n\\*\\*When planning can be done instantaneously, all surgeries can be planned in time.\\*\\*\\\n\\\n**The Team**\n\n**Adrian Kilian** (CEO): Dentist and maxillofacial surgery researcher, Stanford GSB Ignite Allumni, former voice actor.\n\n**Jorge Padilla Perez** (CTO): Contributed to the original U-NET paper and collaborated with ETH Zurich, Stanford, University of Augsburg, and TU Munich in his research on medical imaging.\n\n![uploaded image](/media/?type=post&id=98730&key=user_uploads/412078/b905b853-a495-40d0-a0a5-5d3c8851c2ab)\n\n", "url": "https://www.ycombinator.com/launches/PgQ-mango-medical-taking-the-guesswork-out-of-orthopedic-surgeries-with-agentic-planning", "votes": 18, "created_at": "2026-03-12T00:48:50.030Z" } ] }, { "id": 31162, "name": "Confluence Labs", "slug": "confluence-labs", "former_names": [ "Vector Labs", "Confluence Labs", "Vector Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3d31397146f8b236b2aea89ba80b15e787f9ad4.png", "website": "https://confluence.sh", "all_locations": "San Francisco, CA, USA", "long_description": "While modern AI excels in any area you can collect a lot of data for, it struggles in areas where data is sparse or costly to attain. Designing new molecules, discovering new physics, and engineering new materials are all domains where collecting data is extremely costly. \r\n\r\nWe dream of a world where AI accelerates research in all of these domains and creates a more abundant future for humanity, but the current technology is not there. That’s why we started Confluence Labs. \r\n\r\nWe are building AI that can design highly effective experiments in data-sparse domains and learn maximally from the data it already has.", "one_liner": "AI models that learn from experience", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771724903, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/confluence-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/confluence-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/confluence-labs/", "x_url": "https://x.com/_confluencelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b3d31397146f8b236b2aea89ba80b15e787f9ad4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1164255, "full_name": "Brent Burdick", "title": "Founder/CEO", "founder_bio": "24 yr old college drop out and self-taught engineer and researcher. ", "is_active": true, "linkedin_url": "", "x_url": "https://x.com/BingBongBrent", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dab9e10eb2ff34d57659a0d64d81733538270d80.jpg" }, { "user_id": 1165268, "full_name": "Niranjan Baskaran", "title": "Founder/CTO", "founder_bio": "21 yrs old. Born in India. Won awards for my math research at ISEF. Got a full-ride to college in the US. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/niranjan-baskaran-a906a5205/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e537e89515f68f0cb7d7fe17ca9e9a7f5b4c7712.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98111, "title": "Confluence Labs: an AI research lab focused on learning efficiency", "tagline": "an AI research lab focused on learning efficiency", "body": "Confluence Labs is coming out of stealth with **SOTA on ARC-AGI-2** with a score of **97.9%** at \\~$12 per task on the public eval. This is how we did it, why it matters, and what's next.\n\nARC-AGI-2 is a benchmark that tests an AI system's ability to solve novel reasoning tasks from just a few examples. It's considered one of the hardest AI benchmarks in the world. As recently as a year ago, even the best models scored in the single digits.\n\n![uploaded image](/media/?type=post&id=98111&key=user_uploads/1164255/2f4e4c89-6f96-48ca-93ea-a84eccc15092)\n\nWe've open sourced our SOTA solver. You can reproduce our results here: .\n\n**Our Approach – Program Synthesis driven by LLMs**\n\nLLMs are exceedingly good at writing code. We take the latest models and allow them to find the optimal solution by directing them to write code which describes the transformation represented by a particular ARC problem.\n\nThe principles of our approach can be boiled down to a few key ideas:\n\n1\\. Structure the problem such that it optimally resembles the underlying LLM's training data\n\n2\\. Enable long-horizon work on the problem so a model can continue to build on its past work\n\n3\\. Precisely structure the criteria of the solution and give the model a way to measure that\n\n**ARC-AGI-2 is Saturated – What Does This Mean for the World?**\n\nARC is a data efficiency benchmark. It measures how well you can make a prediction based on a few examples. Typical approaches to ARC-AGI have struggled because modern ML excels in areas where you can collect a lot of training data, but struggles in areas where data is sparse or costly to attain.\n\nWe think LLMs can be used in combination with discrete modeling to assist humans in data-sparse domains. We're most excited about the application of this to meaningful and challenging frontiers such as hardware engineering, drug design, and physics research.\n\n**What Does This Mean for Us?**\n\nOur core belief is that learning efficiency is the key bottleneck to solving the world's hardest problems. We think AI can help in data-sparse domains, and we're approaching this from 2 angles:\n\n1\\. **Hypothesis generation** – A hypothesis is a testable prediction about the world. If you optimally generate hypotheses, the results of your experiments are maximally informative, and you can reduce the time it takes to develop a new technology or solve a hard problem.\n\n2\\. **Data-Efficient Modeling** – By pushing the capabilities of both LLMs and discrete program search, we can make predictions with far less data and accelerate frontier research.\n\n**What's Next?**\n\nWe're going hard on developing our core technology, building out the team, and developing partnerships with researchers and engineers. We're looking for collaborators in hardware engineering, biology, materials science, and other fields where progress is gated by the cost of physical experiments. If that sounds like you or someone you know, reach out at [founders@confluence.sh](mailto:founders@confluence.sh).", "url": "https://www.ycombinator.com/launches/PWR-confluence-labs-an-ai-research-lab-focused-on-learning-efficiency", "votes": 12, "created_at": "2026-02-23T23:01:25.287Z" } ] }, { "id": 31163, "name": "Opalite Health", "slug": "opalite-health", "former_names": [ "Calliope" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/486a2091ac156a249fa74de7d7c575fedb03c889.png", "website": "http://opalitehealth.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Opalite makes it easy for healthcare providers to communicate with non-English speaking patients. We’re built to work inside existing clinical workflows, so providers can communicate in real time without waiting for an interpreter or delaying care. \r\n\r\nOpalite is available instantly, 24/7, and replaces traditional interpretation services with software that’s more reliable and saves millions of dollars per year.\r\n\r\nWe've built a voice AI system that is the safest, most compliant, and most accurate medical interpreter in the world.", "one_liner": "Helping Healthcare Providers Speak Any Language ", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1768325224, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare" ], "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/opalite-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/opalite-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/opalite-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/486a2091ac156a249fa74de7d7c575fedb03c889.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": 657915, "full_name": "Alex Mehregan", "title": "Founder/CTO", "founder_bio": "CTO Opalite Health. Former Apple engineer. Berkeley EECS grad. Wrote software that touched many millions of users.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alex-mehregan", "x_url": "https://x.com/akmehregan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b455e96a6a1c2fe5cd7506cd3a96441ed0f31d8f.jpg" } ], "jobs": [ { "id": 108122, "title": "Founding Technical GTM", "url": "https://www.ycombinator.com/companies/opalite-health/jobs/bNedVAD-founding-technical-gtm", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $200K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97038, "title": "Opalite Health: Helping Healthcare Providers Speak Any Language", "tagline": "Making medical interpretation instant, reliable, and affordable at scale for hospitals and clinics.", "body": "One of the hardest things to scale in healthcare is also one of the most basic: making sure patients and clinicians actually understand each other.\n\n**TL;DR**: [Opalite](https://www.ycombinator.com/companies/opalite-health) helps healthcare providers communicate with patients who don't speak English with an AI medical interpreter that saves 20% time per session and millions annually on interpretation costs.\n\nLaunch Video: \n\n\n**🤯 The Problem**\n\nWhen patients and providers don't speak the same language, critical medical information gets lost - symptoms are misunderstood, diagnoses are wrong, and patients can't follow treatment plans. \n\nOver 30 million people in the US have limited English proficiency, and these communication breakdowns lead to worse outcomes across nearly every measure. Federal law requires healthcare providers to offer interpretation to solve this, but the current solution - a human medical interpreter - doesn't work. \n\nGetting an interpreter takes up to 30 minutes, if one is available at all. When they do connect, interpreters frequently omit or mistranslate important details, especially in fast-moving or complex visits. It also costs hospitals upwards of $1-2M per year. The system is expensive, slow, and unreliable, creating gaps in communication that put patients at risk and increase liability for healthcare organizations.\n\n\n**❤️ The Solution** \n\nOpalite is an AI-powered medical interpreter that helps healthcare professionals communicate with non-English-speaking patients. It’s available instantly, 24/7, so care doesn't have to wait for an interpreter to connect.\n\nOpalite works directly inside clinical workflows, including the EHR, allowing providers to communicate in real time without switching tools or interrupting visits. Translation quality is proven to be superior to certified medical interpreters, but at more than 50% lower cost than traditional services. Opalite also generates visit documentation automatically, reducing the amount of charting providers need to do after each encounter.\n\n\n**📊 Our progress:** \n\nOpalite is currently used daily by patients and providers across 10+ states. Our customers include hospitals, community health centers, home health organizations, telehealth providers, and clinics. We are also set to roll out in a large healthcare enterprise within the next two months. \n\n\n**💡 Our Story**\n\n[@Cathleen Kuo](https://bookface.ycombinator.com/user/1543800) is a physician and the child of immigrants who don't speak English. She has seen the language barrier issues from both sides - watching her parents struggle to communicate with their doctors, and later experiencing firsthand how language barriers compromise the care she can deliver as a physician.\n\n[@Alex Mehregan](https://bookface.ycombinator.com/user/657915) is a former software engineer at Apple where he worked on Apple Intelligence and the updated Siri - software that touches many millions of users every day. He is a 2x founder and Berkeley EECS alumni.\n\n![uploaded image](/media/?type=post&id=97038&key=user_uploads/1543800/8c237420-8e5d-47b5-8721-05769cabb1d9)\n\n\n**🙏 Our Ask:**\n\n* Know healthcare administrators, clinic directors, or hospital C-suites? We’d appreciate an intro.\n* Building a product that serves patients or providers? If language barriers affect your users, let’s chat. \n* Have experience with medical interpreters (as a provider or patient)? Your feedback would be invaluable.\n\n**Reach out at**: [cathleen@opalitehealth.com](mailto:cathleen@opalitehealth.com) & [alex@opalitehealth.com](mailto:alex@opalitehealth.com)\n\n**Visit us**: ", "url": "https://www.ycombinator.com/launches/PF8-opalite-health-helping-healthcare-providers-speak-any-language", "votes": 15, "created_at": "2026-01-21T23:29:41.335Z" } ] }, { "id": 31164, "name": "Compresr", "slug": "compresr", "former_names": [ "Cmprsr", "compresr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7768e73d87dc6915fd2a78cbdff56013e194c8de.png", "website": "https://compresr.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Compresr provides an API that compresses LLM context without losing what matters. It’s a drop-in for agents and RAG that cuts token costs and improves accuracy.", "one_liner": "LLM context compression for better accuracy", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1768812885, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/compresr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/compresr.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/compresr/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7768e73d87dc6915fd2a78cbdff56013e194c8de.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2535816, "full_name": "Ivan Zakazov", "title": "Founder/CEO", "founder_bio": "CEO @ Compresr. Previously researched LLM context compression as an EPFL PhD (Switzerland). Former Microsoft and Philips Research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ivan-zakazov?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "https://x.com/ivanzakazov?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9398264fb56e965d5f2eea7a06e724e5384e7657.jpg" }, { "user_id": 3205126, "full_name": "Berke Argin", "title": "Founder", "founder_bio": "CAIO @ compresr.ai. On a mission to make every token count | EPFL CS | prev UBS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arginberke/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d1eaf2ec9fe2561f3340658b20a46f9be222f706.jpg" }, { "user_id": 3175962, "full_name": "Kamel Charaf", "title": "Founder/CPO", "founder_bio": "Co-founder & COO @ Compresr (YC W26) | EPFL Data Science Masters | ex-Bell Labs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kamel-charaf/", "x_url": "https://x.com/KamelCharaf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31b9a6c54d063c67aa0ec1761b37919317ecf6d0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98164, "title": "Compresr – context compression for LLM pipelines and agents 🗜️", "tagline": "Cut token spend, reduce latency, boost generation quality. ", "body": "# **TL;DR**\n\n**We help you boost context management with 100x compression. Use Compresr SDK to add compression to your LLM pipelines, and improve agentic workflows with our open-source compression proxy (works with Claude Code and OpenClaw).**\n\n\n\nDid you ever struggle to fit all relevant context into the model’s window – only to see the model failing to grasp it? Waited for Claude Code to finish yet another 3-minute compaction session? Got surprised with the OpenClaw bills?\n\nCompresr is on a mission to make you forget about managing long model/agent’s context. With our API, you can reduce long context to the essentials the model needs for any given request – making its generation better, faster, and cheaper.\n\nWe also care deeply about seamless and simple integration into the agentic workflows. Our open-sourced proxy takes a minute to set-up, and optimizes your Claude Code / OpenClaw context from the moment you finish installation. You will experience no change apart from better performance and smaller bills.\n\n![uploaded image](/media/?type=post&id=98164&key=user_uploads/2535816/90e4891b-b976-4a28-b17f-38a4906eb11c)\n\n**Our ask:** \n\n1. If you use Claude Code, Codex, or OpenClaw, try out our compression-enabling proxy and let us know what you think!\n2. If you build LLM pipelines involving long context – let’s chat!\n\nMake every token count.", "url": "https://www.ycombinator.com/launches/PXI-compresr-context-compression-for-llm-pipelines-and-agents", "votes": 9, "created_at": "2026-02-25T01:37:46.507Z" } ] }, { "id": 31165, "name": "IncidentFox", "slug": "brownie", "former_names": [ "Brownie" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43fb964e8e0ca12dcc1000b4c4c2d6be7ffc203e.png", "website": "https://incidentfox.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI SRE agents that automatically learn each customer’s system so they work just like an in-house engineer.", "one_liner": "AI SRE agent that triages, coordinates, and fixes production incidents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1771353224, "tags": [ "AIOps", "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/brownie", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/brownie.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/incidentfox/", "x_url": "https://x.com/incidentfox", "fb_url": null, "cb_url": null, "github_url": "https://github.com/incidentfox/incidentfox", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/43fb964e8e0ca12dcc1000b4c4c2d6be7ffc203e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7a65d44099243d6d951e4e99e1e1e11e7a489905.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1146198, "full_name": "Jimmy Wei", "title": "Founder/CEO", "founder_bio": " Chiehmin (Jimmy) Wei is a co-founder of IncidentFox. Before IncidentFox, Jimmy was a software engineer at Roblox, where he architected a real-time communication feature reaching 11.7M+ users, and at Facebook AI Research (FAIR), where he built conversational AI infrastructure and set new research baselines with Transformer models. He holds an M.S. from Cornell University and a B.S. in Computer Science from Bucknell University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/chiehmin-wei", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98daac7c797ee12d1d4782adddd38231d21056a0.jpg" }, { "user_id": 2091321, "full_name": "Long Yi", "title": "Founder/CTO", "founder_bio": "Long Yi is the co-founder of IncidentFox, an AI-powered SRE platform for automated incident investigation and infrastructure management.\nPreviously, he built large-scale distributed systems at Roblox, managing database and search infrastructure handling over 1.5 million queries per second. \nHe holds a B.S. from Brandeis University, where he conducted research in audiovisual signal processing and neural modeling.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/long-yi-b221b2183/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e2b5e314557a818ba205643be47cf15fc6f9dc8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97928, "title": "IncidentFox. The AI SRE who never drops context.", "tagline": "Auto-learns your stack, builds its own integrations, and gets smarter after every incident.", "body": "Hey everyone 👋\n\nWe're [Long](https://www.linkedin.com/in/long-yi-b221b2183/) and [Jimmy](https://www.linkedin.com/in/chiehmin-wei/) — co-founders of IncidentFox.\n\n**TL;DR**\n\nAI SRE tools fail without deep context about _your_ systems — and that context lives in integrations nobody has time to build. IncidentFox auto-discovers what each team needs, generates the integrations, and ships with 300+ tools built in. Setup takes less than a day, not months.\n\n👉 Try it: \n\n👉 Open source (Apache 2.0): \n\n👉 Launch video: \n\n**❌ The Problem: Without the right integrations, your AI has no context**\n\nEvery AI SRE tool connects to Slack, reads your Confluence, queries your Datadog. That part is solved.\n\nHere's what isn't: when the AI actually needs to debug something, it doesn't have the right tools.\n\nYour payments team runs a custom Kafka pipeline with internal dashboards. Your infra team uses a homegrown deployment system. Your ML team has proprietary model serving. Each team's stack is different — and the AI has no way to query any of it.\n\nThe traditional fix? Hand-build integrations (MCP servers) for every team.\n\nBut this creates a new problem:\n\n* Who decides what integrations each team needs? You might know your own team's stack — but when you're debugging another team's service at 3 AM, you don't know theirs.\n* So every team needs to sacrifice an engineer to build and maintain their own integrations. That's expensive, slow, and doesn't scale.\n* Most teams never get around to it. The AI stays half-useful.\n\n**Integration is the bottleneck.** Not the AI model. Not the monitoring data. The integrations.\n\n**🦊 IncidentFox: We auto-build the integrations for you**\n\nIncidentFox is an AI SRE that lives where your team already works — Slack, Microsoft Teams, or Google Chat. It doesn't just connect to your existing tools — it figures out what tools each team needs and builds them automatically.\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/102ebfb0-a3c9-45c5-b993-89e39b94e13b)\n\n**1. Auto-discovers and generates integrations**\n\nIncidentFox analyzes your codebase, infrastructure, and incident history to identify gaps — then auto-generates the tools to fill them. No engineer needs to hand-build MCP servers. No team needs to sacrifice headcount on integration work.\n\nA new team onboards? IncidentFox studies their stack and proposes tools specific to their services — with human approval before anything goes live.\n\n**2. Per-team configuration — because every team is different**\n\nYour payments team and your ML team don't use the same stack. Why would they use the same AI SRE config?\n\nEach team gets their own:\n\n* Tools — enable only what's relevant; disable what isn't\n* Prompts — fully open source and exposed to engineers. Inject your domain knowledge directly\n* Knowledge base — learned from that team's incidents, runbooks, and services\n\nOne team's \"config drift\" is another team's \"model drift.\" IncidentFox understands the difference.\n\n**3. Continuously evaluates and self-improves**\n\nAfter every incident, IncidentFox:\n\n* Detects gaps — \"I couldn't query service X's health endpoint\"\n* Auto-generates the missing tool\n* Evaluates its own investigation quality against the actual resolution\n* Updates prompts and knowledge — with human review\n\nIt gets measurably better every week. Not because you tuned it — because it tuned itself.\n\n**4. 300+ integrations included on day one**\n\nWhile it auto-builds what's missing, you're not starting from zero. Kubernetes, AWS, Grafana, Prometheus, Datadog, Elasticsearch, PagerDuty, GitHub — all built in. Integration time is under a day, not months.\n\n**🧠 Why this matters**\n\n**Integrations** — Traditional: Hand-built per team. Each team sacrifices an engineer. IncidentFox: Auto-discovered and auto-generated. Human approves.\n\n**Multi-team scaling** — Traditional: Breaks — you can't know every team's stack. IncidentFox: Per-team config. Each team's AI knows their stack.\n\n**Domain knowledge** — Traditional: Black box prompts, hope it works. IncidentFox: Open source prompts. Engineers inject and edit freely.\n\n**Over time** — Traditional: Stagnates unless manually updated. IncidentFox: Self-evaluates, finds gaps, improves continuously.\n\n**Setup** — Traditional: Months of custom integration work. IncidentFox: < 1 day. 300+ tools out of the box.\n\n**📊 Results**\n\n* 85–95% reduction in alert noise through intelligent correlation\n* Hours → minutes for incident investigation\n* Zero-config onboarding — Docker in 5 min, production K8s in 30 min\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/844d70ec-e308-472c-9bc4-f212cd954153)\n\n**🔒 Enterprise-ready, open-source**\n\n* Open source — Apache 2.0, no vendor lock-in\n* SOC 2 compliant, SSO/OIDC, RBAC, audit logs\n* Self-hosted, on-prem, or managed SaaS\n* Bring your own LLM keys (OpenAI, Claude, Gemini, etc.)\n\n**👬 The Team**\n\n[**Jimmy (CEO)**](https://www.linkedin.com/in/chiehmin-wei/) — Previously at Roblox, where he built social communication features (in-experience calling for 100M+ DAU). Before that, worked at Meta FAIR on multiparty conversational AI, with published research. Cornell CS. Serial founder — previously CTO at a startup in Outlier Ventures' DeFi accelerator.\n\n[**Long (CTO)** ](https://www.linkedin.com/in/long-yi-b221b2183/)— Previously at Roblox, where he built database infrastructure supporting 100M+ daily active users on the Stateful Infra team. Experienced the chaos of on-call firsthand — which is why we're building this. Brandeis CS + Neuroscience + Business.\n\nWe've lived on both sides: Jimmy built the AI systems, Long was the SRE drowning in incidents. IncidentFox is what happens when you combine both.\n\n![uploaded image](/media/?type=post&id=97928&key=user_uploads/1146198/261f0711-50aa-4a0f-b6c9-9cdc7c853dbc)\n\n\n**🙏 Our Asks**\n\n* Try IncidentFox — self-serve at [incidentfox.ai](https://incidentfox.ai) or star us on [GitHub](https://github.com/incidentfox/incidentfox)\n* Intros to engineering teams spending too much time on on-call\n * [Book a demo with us](https://calendly.com/d/cxd2-4hb-qgp/30-minute-demo-call-w-incidentfox)\n* Feedback from SREs and infra engineers — [founders@incidentfox.ai](mailto:founders@incidentfox.ai)\n\nThanks for reading ❤️", "url": "https://www.ycombinator.com/launches/PTU-incidentfox-the-ai-sre-who-never-drops-context", "votes": 5, "created_at": "2026-02-18T01:06:25.804Z" } ] }, { "id": 31166, "name": "Unisson", "slug": "unisson", "former_names": [ "InUnison", "Unisson", "unisson" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd03bcedbbd9356a9f36c34083e541508201f3c6.png", "website": "https://www.unisson.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Unisson is building trusted AI subject-matter experts for teams that are responsible for customer deployments (technical customer success, implementation, sales engineering). Within 20 minutes, our agents learn to use any product and can be used by teams in Slack, text, or email. Our agents gather requirements and context from existing tools enabling them to handle complex tasks like customer health audits, onboarding, product administration, and custom integrations. \r\n\r\nWith Unisson, customer-facing teams have 24/7 access to an AI SME, allowing them to scale and save thousands of hours. ", "one_liner": "AI agents that automate B2B software implementation", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1770359134, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/unisson", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/unisson.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/unisson-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd03bcedbbd9356a9f36c34083e541508201f3c6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 237304, "full_name": "Varun Mathur", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Unisson. Built a VLM that outperformed Gemini 2.5 Pro on video understanding and sold into Fortune 5. Previously led product & engineering for agent products, growth and VLM research at Ambient.ai (YC W17).\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varun-m-451410a2/", "x_url": "https://x.com/vmathur6", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9c0df4500185b22652deaafc2d64c2eb6de583c.jpg" }, { "user_id": 703638, "full_name": "Tom Achache", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Unisson. Previously led Perception and built VLAs at Chef Robotics, deploying 50+ robots in production that served over 80M meals. Before that, led Perception at Ambient.ai (YC W17).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tom-achache/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a7103f87f219145b80c889526041540e5cdfa50.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97878, "title": "Unisson: The AI product specialist for customer-facing teams", "tagline": "Hands-on AI subject-matter experts on tap so your team can move faster and scale", "body": "Hey everyone! 👋\n\nWe're Varun and Tom, co-founders of Unisson. We're building an AI-native platform with agents that work as hands-on product experts alongside your customer-facing teams.\n\n### TL;DR\n\nEnterprise deployments require specific customer context, hands-on help, and deep product expertise that is hard to scale. Unisson builds trusted AI subject-matter experts for Implementation, CS, and Sales Engineering teams. Within 15 minutes, our agents learn to use any product and can be used by teams in Slack, text, or email. Our agents gather requirements and context from existing tools, enabling them to handle complex tasks like onboarding, change management, customer health audits, custom integrations, and migrations.\n\n**With Unisson, customer-facing teams have 24/7 access to a hands-on AI subject-matter expert, allowing them to scale and save thousands of hours.**\n\n### 🎬 Launch Video: \n\n### **❌** The Problem\n\nTeams responsible for customer deployments become the \"human API\" for the product. Customers require hands-on help with onboarding, configuration, integrations, change management, and troubleshooting. Executing these tasks at scale becomes challenging because they require specific customer context and deep product expertise: best practices, context from similar deployments, and deep architectural understanding of the product. Over time, this work gets passed to a small number of product experts, slowing down time to value and turning cost-to-serve into a bottleneck for growth.\n\n### ✅ Our Solution\n\nUnisson is an AI-native platform with agents that work as hands-on product experts alongside your customer-facing teams. Our agents:\n\n* Learn to use your product in 15 minutes and build deep expertise.\n* Gather context from meetings, call transcripts, and Slack.\n* Plan and execute onboarding, change management, and migrations end-to-end.\n* Keep your team in control by building an execution plan together.\n* Maintain an up-to-date knowledge base.\n\nEvery task flows through our built-in ticketing system that tracks trends, surfaces patterns, and shows your team how to improve operations.\n\nFor Product & Engineering teams: Our API gives the ability to supercharge your own agents and tools with the same product expertise as your best subject-matter expert.\n\n### The Team\n\nVarun previously led product and engineering for agent products, growth, and VLM research at Ambient AI. Tom previously led Perception at Chef Robotics, deploying hundreds of robots in production.\n\n### 🙏 Our Asks\n\n* Know any **CS, Implementation, Sales Engineering, or Professional Services leaders** looking for ways to scale their teams? We'd love an intro 👉 [varun@unisson.ai](mailto:varun@unisson.ai)\n* Curious how Unisson can help scale your customer-facing teams? [**Book a demo**](https://unisson.cal.com/varun/unisson-product-demo)", "url": "https://www.ycombinator.com/launches/PSg-unisson-the-ai-product-specialist-for-customer-facing-teams", "votes": 20, "created_at": "2026-02-16T23:56:22.793Z" } ] }, { "id": 31167, "name": "Stilta", "slug": "stilta", "former_names": [ "Patrona" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/548ae3316ed7633c94e48e231c43d783c87ee9c1.png", "website": "https://stilta.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Stilta builds agentic AI software for intellectual property, starting with patent litigation. Whether challenging or enforcing a patent, leading IP law firms and in-house IP teams use Stilta for source-backed, auditable analysis.\r\n\r\nInnovation drives the world's most important breakthroughs, but the tools that protect it haven't kept pace. Patent attorneys do high-stakes work with a process still built on manual document review and disconnected point solutions. Generative AI helps with drafting, but it doesn't deliver the trust and transparency that legal-grade work demands - no sources, no traceability, no audit trail. Stilta takes a different approach. We use agentic AI to run search and analysis at a scale manual methods can't match, with every output source-backed, referenced, and auditable. Until recently, this wasn't technically possible.\r\n\r\nWe're four engineers from McKinsey/QuantumBlack who built and deployed AI systems at some of the world's largest organizations. With Stilta, we're equipping the people who protect the world's most valuable ideas with tools that match the stakes.", "one_liner": "Agentic AI for intellectual property", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769876849, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stilta", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/stilta.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "http://linkedin.com/company/stilta", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/548ae3316ed7633c94e48e231c43d783c87ee9c1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2bc74813b91b0499e9819ccf7ac781971ce8d2a3.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2960868, "full_name": "Oskar Block", "title": "Founder/CEO", "founder_bio": "Oskar is the co-founder and CEO of Stilta. He started his first company building ML models for sports betting when he was 18, and later bootstrapped another to +$1M in revenue and +25,000 MAU. Previously at McKinsey, Goldman Sachs, and two Swedish unicorns.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oskarblock", "x_url": "https://x.com/oskarblock", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/67a00f670bb495c10aaca44b547541c084d78968.jpg" }, { "user_id": 2975256, "full_name": "Oscar Adamsson", "title": "Founder/CPO", "founder_bio": "Oscar is CPO and co-founder of Stilta. Before Stilta, he built products at a unicorn, was a founder himself, and worked with 50+ CEOs at McKinsey to shape Sweden's innovation agenda. He has a background as a competitive mathematician, with degrees in business and AI from Chalmers and other top Swedish universities, plus coursework at UC Berkeley and Bocconi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscaradamsson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/811935bad6eba2951fdef4f09331155874f8058a.jpg" }, { "user_id": 3201852, "full_name": "Tobias Estreen", "title": "Founder", "founder_bio": "Tobias is co-founder of Stilta. Previously at QuantumBlack (McKinsey & Company), he led teams developing agentic AI systems for global clients. He is a second-time founder with a background in physics and machine learning from KTH and KU Leuven, bringing deep technical expertise and a track record of building AI systems for complex, high-stakes environments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tobiasestreen", "x_url": "https://x.com/estreenx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d56952e93ebe7aadffec38e65c8d6df05b3ca99.jpg" }, { "user_id": 3201361, "full_name": "Petrus Werner", "title": "Founder/Chief Engineering Officer", "founder_bio": "Founder and Chief Engineering Officer at Stilta. Prior to Stilta, he built and deployed AI systems across European organisations at QuantumBlack (AI by McKinsey & Company) and Amazon Web Services.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/petruswerner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef028bd5fcbf8bd7921400960a866dda92c98b1e.jpg" } ], "jobs": [ { "id": 93476, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/stilta/jobs/xqKu0KK-ai-engineer", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$100K - $200K", "equity_range": "0.40% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "TypeScript" ] }, { "id": 113237, "title": "Platform Engineer", "url": "https://www.ycombinator.com/companies/stilta/jobs/csTwoad-platform-engineer", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$100K - $200K", "equity_range": "0.40% - 0.75%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Microsoft Azure", "Kubernetes", "Python", "TypeScript", "Distributed Systems", "Terraform" ] } ], "news": [ { "title": "Stilta raises $10.5M from a16z and YC to help companies rediscover the patents they forgot they had | TechCrunch", "url": "https://techcrunch.com/2026/05/19/legal-tech-announced-stilta-announces-10m-seed-backed-by-yc-and-a16z-months-after-launch/", "date": "May 19, 2026" } ], "launches": [ { "id": 97649, "title": "Stilta: Cursor for Patent Practitioners", "tagline": "AI agents for deep patent research", "body": "**_TL;DR:_** Innovation is moving faster than ever, but the tools to protect it aren’t keeping up. We’re building Cursor for patent practitioners, reducing manual research and analysis while unlocking new opportunities.\\\n\\\nKnow any patent practitioners? Let’s connect: [founders@stilta.com](https://mailto:founders@stilta.com)\n\n[🎥 Watch our launch video](https://youtu.be/lOwJlK1fJLg)\n\n### **Problem**\n\nMissing the right patent, or getting the analysis wrong, can cost billions. That’s why patent practitioners spend a large share of their time reading technical documents and building arguments. LLMs can generate text, but patent work has non-negotiables that most tools still don’t meet.\n\n* **Research is manual:** practitioners spend hours searching and analyzing to find the few patents that matter\n* **Tools produce static reports:** most solutions generate a final document or flat lists instead of interactive, argument-led analysis that adapts\n* **Context gets lost:** teams lack flexible end-to-end tools, resulting in a fragmented and clunky software stack\n* **AI isn’t trusted without evidence:** in patent work, outputs must be traceable to specific references with clear rationale\n\n# **Solution**\n\nWe've built Cursor for patent practitioners, using agentic AI to improve how high-stakes patent work is done end-to-end. Our agentic approach works alongside you, iterating on analysis rather than producing one-time reports. Specialized agents with deep domain and skills expertise handle complex patent analysis while building context from your documents and prior work. This enables deeper and more granular analysis that was not previously technically feasible.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/ba4d323e-fee5-4a6a-bd58-676deac4f4e8)\n\nWhether you're searching for prior art, analyzing portfolios, or monitoring for infringement, you get interactive litigation analysis you can build on - not flat lists. We're already live with leading firms in both Europe and the US.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/c5dff588-5fbb-4681-8cdc-83f577932775)\n\n### **Why this matters**\n\nInnovation is key to solving the world’s biggest challenges, but protecting innovation is still slowed down by manual, fragmented workflows. Patent practitioners should be able to move at the pace of innovation, so great ideas turn into durable competitive advantage.\n\n### **Who we are**\n\nWe’re four engineers and previous founders who met at McKinsey/QuantumBlack and spent the last few years building and deploying AI for large organizations. We saw first hand how the IP world has one of the largest gaps between available tools and what's needed - the perfect match for what we've built our expertise to solve.\n\n![uploaded image](/media/?type=post&id=97649&key=user_uploads/2960868/769e1ba6-fde1-4ff9-83b9-16509abf0b5a)\n\n* [Tobias ](https://www.linkedin.com/in/tobiasestreen/)previously led AI projects at QuantumBlack and Netlight (and once turned down a pro League of Legends contract).\n* [Petrus ](https://www.linkedin.com/in/petruswerner/)is a builder who’s spent the past 5 years scaling AI systems at QuantumBlack and AWS.\n* [Oskar](https://www.linkedin.com/in/oskarblock/) founded and bootstrapped two startups to +$1M ARR in parallel to working at McKinsey & Goldman Sachs.\n* [Oscar ](https://www.linkedin.com/in/oscaradamsson/)competed nationally in Math, lead product development at unicorns, and worked with +50 CEOs at McKinsey.\n\n### **Our ask**\n\nIf you know patent practitioners who'd benefit from faster, better, and more interactive research, we'd love an intro. \\\n\\\n[Visit our website](https://stilta.com/) | [Contact us](https://mailto:founders@stilta.com) | [Book a demo](https://stilta.cal.eu/stilta/demo)", "url": "https://www.ycombinator.com/launches/POz-stilta-cursor-for-patent-practitioners", "votes": 28, "created_at": "2026-02-09T16:18:52.048Z" } ] }, { "id": 31168, "name": "Instinct", "slug": "instinct-xyz", "former_names": [ "Assonant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/95bc87269a98980418f0859561c98e4d5a516586.png", "website": "https://instinct.xyz", "all_locations": "San Francisco, CA, USA", "long_description": "Capital allocation is becoming a more important part of individual economic life.\r\nFinance is moving toward a global, onchain, 24/7 future with thousands of markets trading at once.\r\n\r\nThe asset management industry is built around the scarcity of financial expertise and the cost of organizing people around capital. \r\n\r\nInstitutions cover global markets by employing analysts, researchers, and quants around the clock. \r\n\r\nAI turns this organizational capacity into software.\r\n\r\nInstinct is building the harness for this transition.\r\n\r\nInstinct is a proactive team of agents that searches thousands of markets, investigates opportunities, and operates 24/7. The individual becomes the portfolio manager, Instinct becomes the investment firm operating around them.\r\n\r\nAs institutional advantages become widely accessible, the edge concentrates in each trader’s worldview, judgment, and bets. \r\n\r\nThe first one-person investment firm managing $1 billion will emerge within two years.\r\n\r\nIt will run on Instinct.", "one_liner": "Trade with superhuman instinct", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1779953002, "tags": [ "Machine Learning", "Trading", "AI", "Cryptocurrency" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "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/instinct-xyz", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/instinct-xyz.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/instinctxyz", "x_url": "https://x.com/instinct_xyz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/95bc87269a98980418f0859561c98e4d5a516586.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3171357, "full_name": "Joon Won Song", "title": "Founder/CEO", "founder_bio": "Quantitative Developer @ Squarepoint Capital\nEECS @ Imperial College London", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mericsong", "x_url": "https://x.com/mericsong", "avatar_thumb_url": "/avatars/thumb/missing.png" }, { "user_id": 3198682, "full_name": "Eunju Moon", "title": "Founder/CTO", "founder_bio": "PhD dropout @ USC (Quantum Computing)\nTheoretical Physics @ Imperial", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eunju-moon-a65823202/", "x_url": "", "avatar_thumb_url": "/avatars/thumb/missing.png" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31169, "name": "Proximitty", "slug": "proximitty", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c673e059e5a8ca7754f20b8d30a076bfb5c81c5b.png", "website": "https://proximitty.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Proximitty is the AI operating system for commercial loans - we build regulator-grade AI agents that ingest and parse documents, spread financials, automate loan operations and track covenants.\r\n\r\nWe help FDIC-insured banks and fintechs underwrite faster and scale their loan books without scaling costs.", "one_liner": "AI operating system for commercial loans", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1771451277, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "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/proximitty", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/proximitty.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proximitty-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c673e059e5a8ca7754f20b8d30a076bfb5c81c5b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1120256, "full_name": "Wye Yew Ho", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Proximitty (YC W26). Previously, led FinCrime and Growth at Taptap Send ($75m -> $200m ARR) and started his career advising banks and fintechs on risk strategy at McKinsey.\n\nHighest ranked Malaysian in history in the Southeast Asian Maths Competition (SEAMC). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wyeyew/", "x_url": "https://x.com/WyeYew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcf8ce32d3b4dc6a170bc231b76373a414a871b5.jpg" }, { "user_id": 3018333, "full_name": "Zi Zhang", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ Proximitty (W26). Previously, led security infrastructure at Bloomberg (securing 300k+ terminals) and Head of Engineering at ACI.dev (built world's first unified MCP with 4k GitHub stars in 1 month).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zizixcm/", "x_url": "https://x.com/zizixcm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2d3989b3c81e4035d2127eca91c422f7a433562.jpg" } ], "jobs": [ { "id": 93643, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/proximitty/jobs/ctpg0o9-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "1.50% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "TypeScript", "Distributed Systems" ] } ], "news": [], "launches": [] }, { "id": 31170, "name": "Cajal", "slug": "cajal-technologies", "former_names": [ "Cajal Technologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff369359daa357b54e6a4db92f80988a4ca84392.png", "website": "https://caj.al/", "all_locations": "San Francisco, CA, USA", "long_description": "Cajal (YC W26) is massively scaling formal verification to accelerate scientific discovery. We deploy superhuman AI mathematicians to high-impact applied domains, starting with quantum computing and finance.\r\n\r\nWe do this with Lean - a framework that allows us to formally verify any mathematical statement, grounding AI in truth and validating the tools discovered by our systems.", "one_liner": "Scaling formal verification to accelerate scientific discovery", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771892744, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cajal-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cajal-technologies.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cajal-technologies/", "x_url": "https://x.com/CajalResearch", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cajal-technologies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff369359daa357b54e6a4db92f80988a4ca84392.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2349142, "full_name": "Pedro Nobre", "title": "Founder/CEO", "founder_bio": "Working on formal verification and AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pedronobree/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d65d76aae68bcbcde1e98992883952b826d8098.jpg" }, { "user_id": 2376628, "full_name": "Luke Johnston", "title": "Founder/CTO", "founder_bio": "Working on formal verification and AI at Cajal (W26).\n\nBackground in machine learning and neuroscience at research labs in Oxford/Cambridge/UCL.\n\nLearn more at https://caj.al/ and feel free to get in touch at luke@caj.al", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukerjohnston/", "x_url": "https://x.com/CajalResearch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2195d6b9629d4155aad9fde27c62aa21fc313334.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98146, "title": "Cajal: Scaling Formal Verification for Scientific Discovery", "tagline": "Cajal deploys AI mathematicians to high-impact applied domains, starting with quantum computing and finance.", "body": "**TL;DR: Formal verification** uses mathematical proofs to guarantee a system behaves as intended.  Cajal is **massively scaling this technology** with AI - deploying agents to autonomously discover and **formalize new tools** across applied mathematics with genuine real world impact. Starting with **quantum computing and finance.**\\\n\\\n\n\n**LLMs: The State of Play**\n\nLarge language models are fundamentally stochastic. No amount of scaling changes this - probabilistic systems cannot guarantee correctness. This is especially problematic in mission-critical domains that require mathematical certainty.\n\nFormal verification provides exactly this: mathematical proof that code is correct for every possible input, not just the ones you test. \n\nPreviously, this technology has been limited to a small group of experts working over long horizons - restricting its application to narrow domains like software verification and research mathematics.\n\n**A New Frontier for Formal Verification**\n\nCajal is using AI to massively scale this technology - deploying agents to autonomously discover and formalize tools across applied science, beginning with quantum computing and finance.\n\n**Introducing Tau:** Tau is a multi-agent system that collaborates to discover and verify new mathematical proofs in Lean. Given a research direction, Tau autonomously formalizes large corpora of applied mathematics, discovering novel results with real-world applications - from algorithms with certified speedups to certificates that a system satisfies its constraints.\n\nEvery result is machine-verified by Lean's type-checking kernel, guaranteeing correctness.\n\n**Our Ask**\\\nAlongside our work formalizing applied mathematics, we also partner with frontier AI labs and research institutes to improve their systems, including through datasets, evals, and RL environments. To explore a collaboration, contact us at [hi@caj.al](mailto:hi@caj.al).\n\n→ [Luke](https://www.linkedin.com/in/lukerjohnston/) and [Pedro](https://www.linkedin.com/in/pedronobree/) from [Cajal](https://caj.al/)\n\n![uploaded image](/media/?type=post&id=98146&key=user_uploads/2376628/113fb0c4-2e61-448f-8856-c5946338731f)\n\nBack in our first office in a castle in Germany, where it all began (long story!)", "url": "https://www.ycombinator.com/launches/PX0-cajal-scaling-formal-verification-for-scientific-discovery", "votes": 15, "created_at": "2026-02-24T20:34:51.172Z" } ] }, { "id": 31171, "name": "Overshoot", "slug": "overshoot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cabbe8c8fd17d316132f3dc3a13e469c74ebb408.png", "website": "https://overshoot.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Overshoot makes it easy for developers to build and run real-time vision applications.\r\n\r\nAI can see and understand the physical world. This unlocks new applications in physical security, safety, gaming, robotics and general consumer products. Soon, video agents will watch your home and your pet when you’re away. \r\n\r\nHowever, existing platforms make it painful for developers to build these real-time applications. Slow inference. Limited model availability. Break at scale. \r\n\r\nOvershoot solves this.\r\n\r\nToday, 300+ developers connect live video feeds to the largest collection of Vision Language Models with 3 lines of code. And get responses in less than 200ms. 10x faster than any existing inference platform. Zero infra headache. \r\n\r\nOur moat is focus. Image and Video are fundamentally different modalities from text. By focusing on them, we are able to make strong technical leaps from codec, streaming protocols to inference engines.\r\n\r\nYounes and Zakaria are cousins. Zakaria graduated top of his class at LSE and MIT, and later built low-latency high-throughput pricing systems (surge) at Uber and inference engines at Meta. He previously built and sold a software product and won several prominent AI hackathons. Younes was a founding engineer at Cosmonio (later acquired by Intel). He built a training and serving Computer Vision platform from scratch. He witnessed firsthand customers abandoning traditional Computer Vision because it lacked the “general” intelligence LLMs have today. Together we’ve shipped large-scale systems and know where they break.", "one_liner": "AI Infra for real-time vision applications", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1770705031, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/overshoot", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/overshoot.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/overshootai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cabbe8c8fd17d316132f3dc3a13e469c74ebb408.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": 765241, "full_name": "Zakaria El hjouji", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Overshoot. Prior to this, Zakaria spent 7 years building pricing algorithms at Uber and writing GPU kernels at Meta AI. Won 3 prominent AI hackathons. Built and sold a software product while in grad school at MIT. He graduated top of his class at the London School of Economics. Likes to nerd out on anything inference and VLM / video understanding. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zakariaelhjouji/", "x_url": "https://x.com/zakariaornot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7319d2cae3c7ea23888cac477b6a6a031f42e24.jpg" }, { "user_id": 3208906, "full_name": "Younes El hjouji", "title": "Founder/CTO", "founder_bio": "Ex-Intel Computer Vision AI Frameworks Engineer. CTO of Overshoot. Building the platform for realtime vision powered by LLMs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/younes-elhjouji/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30e828247d34c3679e96ad9e222fcdb16750559b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97736, "title": "Overshoot - AI Vision in Real-time", "tagline": "Overshoot helps developers build and run real-time vision applications", "body": "Overshoot is the fastest API for real-time vision. Literally faster than humans (<200ms).\n\nTry the playground: \n\n1000+ developers are using it today to ship video agents in gaming, robotics and security.\n\nReal-time vision changes what AI can do in the physical world. However, existing platforms make it painful for developers to build these applications. Slow inference. Limited model availability. Break at scale.\n\nOvershoot solves this.\n\nImage and Video are fundamentally different from text. By focusing on them end-to-end, from codecs and streaming to inference engines, we’re pushing the AI stack forward for real-time vision.\n\nPrior to Overshoot, Zakaria and Younes built low-latency high-throughput systems at Uber, Meta and Intel.\n\n", "url": "https://www.ycombinator.com/launches/PQO-overshoot-ai-vision-in-real-time", "votes": 17, "created_at": "2026-02-12T02:40:13.602Z" } ] }, { "id": 31172, "name": "Terminal Use", "slug": "terminal-use", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c1f9c6555570a59695390a5a40a26ba79862a09.png", "website": "https://www.terminaluse.com/", "all_locations": "San Francisco, CA, USA", "long_description": "AI pilots are everywhere. Few organizations can point to a department that actually runs AI-first. Terminal Use changes that.\r\n\r\nWe help operations teams rebuild how work gets done, end to end. We begin with one critical process, map how it runs today and where it breaks, then redesign the workflow around AI agents, existing systems, and people at the right control points.\r\nThe result is a working AI-first process, measurable operational change, and a blueprint for transforming the broader department.\r\n\r\nFounded by ex-Palantir FDEs and engineers working on transformation at scale, Terminal Use works across construction, logistics, manufacturing, retail, and other complex operating environments.", "one_liner": "AI-native transformation for operations-heavy companies", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1770866075, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/terminal-use", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/terminal-use.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/terminaluse/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7c1f9c6555570a59695390a5a40a26ba79862a09.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 667752, "full_name": "Vivek Raja", "title": "Founder/CEO", "founder_bio": "Previously led technical delivery of one of the largest agents use case at Palantir", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/v-raja/", "x_url": "https://x.com/v_raja_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de962714eee2086b1e4b90238a89b4a6fe9927d9.jpg" }, { "user_id": 3200476, "full_name": "Filip Balucha", "title": "Founder", "founder_bio": "Enabling long-running background agents. Previously Ontology @ Palantir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/filip-balucha/", "x_url": "https://x.com/filbalu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ccf34613a304c51730cf7fb5d972863f73d5b423.jpg" }, { "user_id": 1080073, "full_name": "Stavros Filosidis", "title": "Founder/CTO", "founder_bio": "Building the missing infrastructure for deploying agents. Previously worked on coding infrastructure at Palantir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stavrosfilosidis", "x_url": "https://x.com/stavros_fil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d62acad1508f4e25b5187f644bfe3eb519da0c7b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31173, "name": "Laurence", "slug": "laurence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68ac6b4c3dd34328cb86f2f81c4d868040f3557d.png", "website": "https://laurence.com", "all_locations": "New York City, NY, USA", "long_description": "Advertising today is like trading in the 1980s pits: archaic, manual, and iterative guesswork. Humans update bids and keywords with noisy, delayed data using simple if-else rules that both break at scale and ignore stochasticity.\r\n\r\nLaurence advertises like modern hedge funds trade markets, driving a 15-40% improvement in net profit for Amazon brands within a month of onboarding.", "one_liner": "Quantitative research for autonomous e-commerce growth", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1767919574, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/laurence", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/laurence.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/laurence-ai", "x_url": "https://x.com/trylaurence", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/68ac6b4c3dd34328cb86f2f81c4d868040f3557d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1795983, "full_name": "Matthew Chen", "title": "Founder/CEO", "founder_bio": "Built the Data Science Agent at Google. Grew Facebook new user retention by 18% by tuning Facebook's friending model. Third engineer at health-tech startup. Math+CS & AI research at Cornell. Ex-national team and semi-pro soccer goalie.\n\nWashed dishes and waited tables to pay for college. Financially independent at 17. National team & semi-pro soccer goalie. Taught myself to code at 18. Chemistry research at 15.\n\nCEO", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-l-chen", "x_url": "https://x.com/mlaurencechen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7af3dfa9f5f76ae271639d5dd1847c8645929e1f.jpg" }, { "user_id": 3241658, "full_name": "Leo Gierhake", "title": "Founder", "founder_bio": "Researcher at Jump Trading, building quantitative models to execute 50% of all global crypto trades. $250,000 in high-stakes professional poker winnings. Founded a crypto investing platform at 18. ETH Zurich Electrical Engineering\n\nChief Technology Officer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leo-gierhake-9bbb511b7/", "x_url": "https://x.com/LGierhake", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb3231a4ab2843cee5578aa4632d21363e0359ac.jpg" } ], "jobs": [ { "id": 108692, "title": "Deployment Strategist", "url": "https://www.ycombinator.com/companies/laurence/jobs/VcERdCh-deployment-strategist", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97551, "title": "Laurence - Automated Amazon Advertising", "tagline": "We set bids, budgets, and keyword targets like quants trade markets", "body": "Hey YC! 👋\n\nWe’re [Matt](https://bookface.ycombinator.com/user/1795983) and [Leo](https://bookface.ycombinator.com/user/3241658) building [Laurence](https://www.trylaurence.com/): automated Amazon pay-per-click (PPC) performance marketing using reinforcement learning and transformer models.\n\n\n\n**TL;DR**\n\n* **Most brands lose money** advertising on Amazon after margin\n * Agencies outsource **simplistic copy-paste playbooks** to offshore workers\n * Existing software are rudimentary rules engines that break with any bad variance\n* We drive performance using **reinforcement learning** and training our own conversion-rate-aware transformer models\n* Our quant system is automating **$10 million in live ad spend**, increasing advertising profits by 15-20% while growing total revenue.\n\n**Team**\n\nMatt\n\n* built the Data Science Agent at Google\n* tuned the Facebook friend suggestion model at Meta\n* was the third engineer at a health-tech startup\n\nLeo\n\n* made $250k as a high-stakes poker pro at 17\n* founded a crypto investing startup at 18\n* was a researcher at Jump Trading\n\nWe started off building a horizontal data science agent for enterprise, and from our hundreds of conversations with anyone who had a problem with data, we learned how desperately brands on Amazon needed PPC automation that works.\n\n**Ask**\n\nIf you know any CPG brands or SMBs selling on Amazon, we would love an introduction :)\n\n\\- Matt & Leo W26\n\n[matthew@trylaurence.com](mailto:matthew@trylaurence.com)\n\n[trylaurence.com](http://trylaurence.com)\n\n![uploaded image](/media/?type=post&id=97551&key=user_uploads/1795983/bb8c6198-ffe9-4166-8f6c-aa27c1205acb)\n\n", "url": "https://www.ycombinator.com/launches/PNP-laurence-automated-amazon-advertising", "votes": 13, "created_at": "2026-02-05T20:42:06.090Z" } ] }, { "id": 31174, "name": "Parameter", "slug": "parameter", "former_names": [ "Anytool", "Hex Security", "Parameter", "Parameter (fka Hex Security)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/10c4b553697048031ea44635278f71a342e7f4dc.png", "website": "https://parameter.ai?utm_source=ycombinator&utm_medium=referral&utm_campaign=parameter-profile", "all_locations": "San Francisco, CA, USA", "long_description": "Parameter builds AI agents that run continuous penetration tests against your apps and infrastructure. Instead of a once-a-year penetration test, Parameter's agents works 24/7 to find and verify critical vulnerabilities so you can prevent them before attackers.\r\n\r\nFormerly Hex Security", "one_liner": "Security builds trust. Strengthen both, all on one platform.", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1768943987, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parameter", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/parameter.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/param-ai", "x_url": "https://x.com/parameter_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/10c4b553697048031ea44635278f71a342e7f4dc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2947591, "full_name": "Ahmad Khan", "title": "Founder/CEO", "founder_bio": "Co-Founder, Parameter. \n\nPreviously, I was building robots that learned from each other by sharing skills on-chain, and researching World Models that give robots complete environmental understanding. Our robot became the first in history to ring the NASDAQ bell. I studied Math at University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmad-khan-b6584b225/", "x_url": "https://x.com/zer0day", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb13d4b1cc92b0b8f09c4a24a36fe8e89027df53.jpg" }, { "user_id": 507733, "full_name": "Huzaifa Ahmad", "title": "Founder/CTO", "founder_bio": "Cofounder, Parameter. \n\nPreviously, I built software at companies like PlayAI, AWS, and Capital One. On the side, I built consumer apps that reached millions of downloads. But I've always loved breaking things just as much as building them. In college, I reverse engineered every major ATS platform and built Talently, a tool that sent over 200K job applications. Now we build AI that hacks before attackers do.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hzzaifa", "x_url": "https://x.com/hzzzaifa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6020e21b469a93c206367db43cbad4a06f4ca99c.jpg" }, { "user_id": 2593631, "full_name": "Prama Yudhistira", "title": "Founder/CPO", "founder_bio": "Co-Founder, Parameter.\n\n\nAt Codegen, I built asynchronous coding agents that improved the workflow of developers, and even got non-developers writing production software.\nAt AMD, I built infrastructure for MI300 GPU firmware testing.\nI competed internationally in piano, winning multiple competitions and performing with orchestras like the Qatar Philharmonic Orchestra. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pramayudhistira/", "x_url": "https://x.com/menace_codes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1d67b527be838a072da4b2c709b3df445c96ccb.jpg" } ], "jobs": [ { "id": 92590, "title": "Member of Security Staff", "url": "https://www.ycombinator.com/companies/parameter/jobs/aSsK2sx-member-of-security-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 92592, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/parameter/jobs/t56j82p-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97640, "title": "Parameter: AI that Hacks before Attackers do", "tagline": "AI agents that find security vulnerabilities in your apps & infrastructure", "body": "We're[ @Huzaifa Ahmad](https://www.linkedin.com/in/ahmadhuzaifa012/),[ @Ahmad Khan](https://www.linkedin.com/in/ahmad-khan-b6584b225/), and[ @Prama Yudhistira](https://www.linkedin.com/in/pramayudhistira/) (Parameter W26). **We built AI agents that automate penetration testing.**\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/507733/e0895a51-0f41-4ecb-b7d2-6e10257676ee)\n\n**In the past few weeks, our agents found critical vulnerabilities in dozens of YC companies (ones you’ve heard of):** SQL injection exposing billions of records, demonstrated a PoC worm that could infect entire networks, gained access to hundreds of codebases, and more. Through this, we have prevented an estimated $3B+ in potential damages (based on exposed record counts and IBM's Cost of a Data Breach benchmarks).\n\n[🎥 Watch our launch video](https://youtu.be/kDWcB4GjzeA)\n\n**The problem:** Companies lose $10T+ annually to preventable vulnerabilities, yet most pentest once a year because it's manual, expensive, and slow. By the time you get the PDF, your codebase has changed.\n\nAnd that gap is widening. In September 2025, Anthropic caught Chinese state-sponsored hackers using AI to run 80-90% of an attack autonomously — thousands of requests per second, speeds no human team could match. The attackers have AI now, and defenders need it too.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/e8003001-ba20-41f7-9c96-11922c602f4b)\n\n**What we built:** AI agents that run continuous penetration tests against your apps and infrastructure. They find vulnerabilities, chain exploits together, and deliver actionable findings with reproduction steps — at a fraction of the cost of traditional pentesting.\n\n![uploaded image](/media/?type=post&id=97640&key=user_uploads/2947591/0f00074f-e1d6-4ef2-bc4e-9466839fab36)\n\nWant to see what we find in your systems? Book a discovery call: [hex.co](http://hex.co)\n\nVisit us at [hex.co](http://hex.co) | [founders@hex.co](mailto:founders@hex.co)", "url": "https://www.ycombinator.com/launches/POq-parameter-ai-that-hacks-before-attackers-do", "votes": 303, "created_at": "2026-02-09T00:33:20.433Z" } ] }, { "id": 31175, "name": "Pax Historia", "slug": "pax-historia", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/58aceddc6b7af2ca2c35058e943baf719c91fe1c.png", "website": "https://www.paxhistoria.co", "all_locations": "San Francisco, CA, USA", "long_description": "Pax Historia is an AI powered sandbox game where players create and upload whatever worlds they can imagine for others to play. What if Rome never fell? What if aliens invaded Earth? What if you were a college dropout creating a tech startup? \r\n\r\nThe ability to create, edit, and copy custom maps, actors, historical context, and more means that users can play nearly any scenario they can imagine.\r\n\r\nWe've organically built a passionate fanbase of tens of thousands of daily active players and we're excited to expand on this early start. Consider joining us to help build vastly better tools for creators and experiences for players.", "one_liner": "The first AI-powered worldbuilding and gameplay platform", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1766621024, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer", "Gaming" ], "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/pax-historia", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pax-historia.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pax-historia", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/58aceddc6b7af2ca2c35058e943baf719c91fe1c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1382898, "full_name": "Eli Bullock-Papa", "title": "Founder/CEO", "founder_bio": "Co-founder of Pax Historia. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/elibullockpapa", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28326ae34eb80503fd8d6a94547c126557f07bcd.jpg" }, { "user_id": 2520930, "full_name": "Ryan Zhang", "title": "Founder/CTO", "founder_bio": "I like history", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanz22", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9756b733f39842df4b97b6a5a29dc96d68ce2d5a.jpg" } ], "jobs": [ { "id": 106820, "title": "Founding Engineer - LLM Infra & Platform", "url": "https://www.ycombinator.com/companies/pax-historia/jobs/j2J4ZOt-founding-engineer-llm-infra-platform", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106821, "title": "Founding Engineer - Harness Optimization", "url": "https://www.ycombinator.com/companies/pax-historia/jobs/yE3zKmX-founding-engineer-harness-optimization", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97520, "title": "Pax Historia - User & AI powered gaming platform", "tagline": "🗺️ The first alternate-history sandbox game powered by AI", "body": "Hey! This is **Eli** and **Ryan**, cofounders at **Pax Historia** ([paxhistoria.co](http://paxhistoria.co)). \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/f7de4ff4-c0d2-4a10-9785-d2ca30e30949)\n\nPax Historia is a map-based gaming platform which combines the creative freedom of sandbox games with the depth of grand strategy. Players imagine scenarios (like ‘What if the USSR hadn’t broken apart?’ or ‘What if a zombie outbreak started in 2019?’ or ‘What if the USA took over Greenland?’) and create maps and presets which are then published to the community and become playable by anyone.\n\nAlready, we have **35k daily users**. Over the last week, in total, we’ve processed **100+ billion tokens**. Our **passionate community has published over 4k presets** with 50+ plays each.  \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/099acb66-577a-4be7-973c-109c16087c69)\n\nCreators create, edit, and publish custom maps and worlds. Users then play as a country or group in the world. They can make actions, start diplomatic chats, and jump forward in time. As the game progresses, the map shows any changes from player actions. \n\n![uploaded image](/media/?type=post&id=97520&key=user_uploads/1382898/062a68cf-5178-40bf-888d-e31b681431c2)\n\nBy using AI to power the responses of other countries/actors to in-game actions, **we are able to move beyond constraining, pre-designed narrative paths**. Players are truly able to do whatever they can imagine. \n\nCheck out our [Pax Historia Launch Video](https://youtu.be/-RXSxMVLcL4) for a closer look.\n\n**Our asks**: \n\n1. **Feedback:** We would _love_ to hear your feedback (especially if you’re a grand strategy, history, or gaming nerd!). You can make an account [here](http://paxhistoria.co).\n2. **Talent:** We are hiring! If you know of any talented engineers (Unity, web dev, AI/ML) who might be interested in a super high-impact, fast moving, small team, then please connect us. They can apply through our [Ashby](https://jobs.ashbyhq.com/pax-historia), but please also shoot us an email ([careers@paxhistoria.co](mailto:careers@paxhistoria.co)) so we can find their profile.\n3. **Connection & Community:** Finally, if you’re running platforms/marketplaces, who are using AI to power features within their service (not just to write code!), or just excited by building and maintaining online communities, then we would love to chat.", "url": "https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform", "votes": 54, "created_at": "2026-02-04T23:25:26.863Z" } ] }, { "id": 31176, "name": "Rhizome AI", "slug": "rhizome-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bcee7f777db1539a455395ef7d0f4174a507995.png", "website": "https://rhizomeai.com/", "all_locations": "New York City, NY, USA; Remote", "long_description": "It takes 500,000 days of office work to bring a drug to market. We want to make it 5. To get there, we need agents doing most of the work. \r\n\r\nToday, our research agent is the best way to know what the FDA thinks. Users ask a question and get an answer backed by up to 1,000 documents, where each statement has a citation. \r\n\r\nIt’s the best because we have the best retrieval engine. We’ve tuned it on our life science-specific dataset, and we find what others miss.\r\n\r\nAs more teams use Rhizome, we gain more data on what regulatory professionals actually need, which makes retrieval even better. This flywheel is how we become the retrieval engine that powers all human and agent work in life sciences.\r\n\r\nChetan started his career as a research engineer, but quickly realized he enjoyed building more than research. He joined EvolutionaryScale as their sole founding product engineer, launching their developer-scientist platform and scaling to tens of thousands of users and billions of API calls. He was also #16 at Instabase helping banks with document processing, closing $7m as the technical closer.\r\n\r\nAgents can do magical things today, but most in life sciences only use them to edit emails. Agents are missing the context they need to 100x the number of drugs we can bring to market. Rhizome AI is focused on that critical problem.", "one_liner": "Agent Platform for Life Sciences", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769550752, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rhizome-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/rhizome-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rhizomeai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bcee7f777db1539a455395ef7d0f4174a507995.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bc93d4fda0544c23559ff40e3f19525b1b3062bf.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0ca19bc63f084da43c1115fa144812f71c8557dd.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 668813, "full_name": "Chetan Mishra", "title": "Founder/CEO", "founder_bio": "Building an agent platform for life sciences. Software engineer who's closed millions in enterprise deals \n - ran ai drug discovery platform at evolutionaryscale.com (raised 150m) \n - $7m closed as sales/solutions eng at instabase\n - co-author of a paper on the cover of science magazine (esm3)\n - first used vector db's in 2016 for image retrieval", "is_active": true, "linkedin_url": "https://linkedin.com/in/chemishra", "x_url": "https://x.com/chetanfs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbeb3dd0c9122469a8daacf3791ce448ffca43b4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97268, "title": "Rhizome AI - Know what the FDA thinks", "tagline": "Instantly answer regulatory questions with up to 1,000 documents from public health authority databases without hallucinations", "body": "Hi all - I’m [Chetan](http://linkedin.com/in/chemishra), the founder of [Rhizome AI](https://rhizomeai.com/).\n\n# _Tl;dr_\n\n_What has the FDA’s feedback been on real world evidence in review comments?_ \n\nWe help life science companies know what the FDA thinks.\n\nRegulatory affairs teams ask a question and get an answer backed by terabytes of regulatory & clinical databases from the US, EU, etc.\n\nUnlike ChatGPT, Rhizome reads up to 1,000 documents per question, accompanies each statement with a citation, and doesn’t hallucinate.\n\n**_Ask_**: If you know any biotech or medtech leaders (esp if they’re regulatory affairs or R&D), I’d appreciate [an intro](https://calendly.com/mishrachetan/launch-yc)!\n\nUltimately we want all reg affairs teams to be as informed as [the most regulatory man in the world](https://youtube.com/shorts/whOX6BuvgMI). \n\n### 😖 The problem: Knowing what the FDA thinks\n\nThe FDA is the customer of every function in life sciences. It doesn’t matter whether you are regulatory affairs, R&D, quality, manufacturing, commercial, etc.\n\nAt the same time, it’s difficult to understand their thinking. Guidance documents are high level and vague. The only alternative is doing (or paying a consultant to do) manual, painful research on past decisions they’ve made and understand _why_. Other regulators around the globe are no easier.\n\nChatGPT / Claude / etc. have only made it worse\n\n* They trust their knowledge and only look up what they feel the need to. This means low-latency, but high-hallucination research\n* Even when they retrieve sources, at most, it’s a few dozen. It’s also liable to include lots of internet junk mixed in with the authoritative government databases the industry trusts\n* They don’t make it easy to check citations. They cite a 1200 page PDF and you don’t really know where to dig inside it.\n\n### ✨ The Solution: Hallucination-free, deep research for life sciences\n\nRhizome Ask solves this problem by providing hallucination-free and thorough deep research for the life sciences. There’s a few key things our customers like:\n\n* We didn’t have a single hallucination reported in 2025. \n* Every statement comes with a citation\n* We read up to 1,000 documents per question in a few minutes before writing an answer. We’re continuously extending this limit.\n\n \n\nHere’s a quick peek at the product:\n\n![uploaded image](/media/?type=post&id=97268&key=user_uploads/668813/dbc9e5d3-d827-4dfe-8b2d-52dfab9bb2b1)\n\nOur customers love it. A few testimonials:\n\n* “_Last time we did this research, we spent weeks. Rhizome found the answer immediately_.” - a VP of reg affairs at a clinical-stage biotech\n* _“Chetan idk what kind of magic you all did here, it’s so good” -_ a VP of reg affairs at a biotech with multiple products on the market\n* _“I would cry if I lost access to Rhizome” -_ an RA manager at a drug delivery device company\n* “_10 minutes of work can accomplish what would have taken weeks._” a device engineer at a pharma company\n\n### 🤝 Who am I\n\n![uploaded image](/media/?type=post&id=97268&key=user_uploads/668813/85808e43-72d1-4d28-b536-7fd8d4af6c5c)\n\nA bit about my background. \n\nI joined EvolutionaryScale as their first product engineer, launching an AI inference platform to help scientists design proteins. I joined Instabase as #16 helping banks with document & imaging processing, closing $7m as the technical lead. \n\nWhen looking to start my own company, I realized we saw many AI startups focused on drug discovery, but a _lot_ less attention bringing those products to market. \n\n# 🙏 My ask: Connections with regulatory affairs, quality, or R&D leaders in life sciences\n\nDo you know any regulatory affairs, quality, or R&D leaders in life sciences? It would be awesome to chat with them!\n\nOther ways you can help:\n\n* Follow us on [Linkedin](https://www.linkedin.com/company/rhizomeai/)\n* Share this post with your friends / family in life sciences!\n* Learn more about us at [rhizomeai.com](http://rhizomeai.com)", "url": "https://www.ycombinator.com/launches/PIq-rhizome-ai-know-what-the-fda-thinks", "votes": 14, "created_at": "2026-01-29T17:20:48.065Z" } ] }, { "id": 31177, "name": "Prana", "slug": "prana-health", "former_names": [ "Prana Health", "Prana", "Prana Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6fd6b3bc7fb91c70acd850ce7a537f0e519187f.png", "website": "https://pranadoc.com", "all_locations": "San Francisco, CA, USA", "long_description": "Prana replaces the reactive, 15-minute annual physical with continuous, proactive care. We connect to your medical records and wearables to watch for \"clinical drift,\" catching subtle declines in health that human doctors miss between visits.\r\n\r\nMost AI health apps are just chatbots. Prana is a full-stack medical provider. Our AI acts as a always-on physician that watches your data, explains your labs, and manages your prescriptions.\r\n\r\nSafety & Scale: We automate 90% of the \"grunt work\" (history taking, logistics, triage) so our human doctors can focus purely on high-leverage decisions. This allows us to offer 24/7 physician care for a fraction of the cost of traditional care.\r\n\r\nThe Team:\r\n - Meer Patel (CEO): JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments.\r\n- Vishvam Rawal (CTO): Ex-Quant. Building high-frequency data infrastructure for health signals.\r\n- Sanjit Menon (CHO): Graduating MD Candidate. Deep clinical expertise to ensure our models practice good medicine.\r\n\r\nTraction: Live in beta with early users.", "one_liner": "An AI primary care doctor in your pocket", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1766024605, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/prana-health", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/prana-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pranahealthai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c6fd6b3bc7fb91c70acd850ce7a537f0e519187f.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": 2574475, "full_name": "Meer Patel", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Prana (YC W26). I hold a B.S. and M.S.E. in BME from Johns Hopkins. I deferred Brown Medical School to build Prana, realizing software scales better than appointments.\n\nPreviously, I was an AI Engineer at Onix, scaling GenAI solutions to hundreds of thousands of users for Fortune 500 clients. I co-developed ICPredict, a deep learning model for non-invasive brain pressure monitoring, and engineered rapid saliva diagnostics that secured strategic R&D backing from Danaher.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/meerpatel", "x_url": "https://x.com/_meerpatel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6caa519ffde208cb81330f1e6cb3b3bef9a0870.jpg" }, { "user_id": 1428065, "full_name": "Sanjit Menon", "title": "Founder", "founder_bio": "Co-founder and CHO of Prana (YC W26). MD with expertise in clinical workflows. Previously co-founded an AI medical education platform and scaled it to 400+ paying customers. Authored multiple clinical research publications in high-impact academic journals. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/sanjit-menon-6674281a6", "x_url": "https://x.com/smenon21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab7c7f351beb41a2758fd9869a2d04a4540f79f3.jpg" }, { "user_id": 3202613, "full_name": "Vishvam Rawal", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Prana (YC W26); UC Berkeley Applied Math. Prior to Prana, I worked in quantitative research and equities algorithmic development, building high-reliability production systems. I now apply that engineering discipline to healthcare, with experience deploying applied AI in medical settings, having previously engineered voice agents for medical billing and custom chatbots for physical therapy clinics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vishvam-rawal-985b04238/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4da4051a46726dd69a461f3d84fea507beab10f1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97692, "title": "Prana - An AI Doctor that Monitors You 24/7", "tagline": "Prana is an AI primary care doctor in your pocket", "body": "Hey YC! We’re **Meer**, **Vishvam**, and **Sanjit** — the founders of **Prana**. ([pranadoc.com](http://pranadoc.com))\n\nTL;DR:\\\nPrana is the \"Always-On\" AI Doctor. We replace the reactive annual physical with continuous, proactive monitoring. We connect to your medical records and wearables to detect \"clinical drift\" (like rising blood pressure or glucose) weeks before it becomes an emergency.\n\n**The Problem**\\\nPrimary care today is episodic and reactive: you only see a doctor when you are already sick. Real health issues don’t happen overnight; they happen in the \"drift\" between visits. Because data is siloed (your Oura ring doesn’t talk to your Epic chart), doctors miss the full context of your health, often leading to late detection of metabolic disease and chronic illness.\n\n**The Solution**\\\nPrana acts as a 24/7 intelligent layer on top of your health data.\n\n* **Unified Profile:** We aggregate your history (EHRs via Fasten) and real-time biometrics (Wearables via Junction) into a single clinical timeline.\n* **Continuous Monitoring:** Instead of waiting for you to complain, our AI acts as a background monitor, analyzing your data for anomalies and drift.\n* **Doctor-in-the-Loop:** When risks are detected, the system escalates to our physician network for immediate intervention—turning passive data into active care.\n\n\n\n**The Team** We are combining clinical expertise with high-frequency data engineering.\n\n* **Meer Patel (CEO):** JHU BME. Deferred Brown Medical School to build Prana because code scales better than appointments.\n* **Vishvam Rawal (CTO):** Ex-Quant (Weiss/Barclays). Leveraging algorithmic trading experience to build high-frequency infrastructure for health signals.\n* **Sanjit Menon (CMO):** Graduating MD. Previously co-founded and scaled an AI medical education platform to 400+ customers.\n\n**Our Asks**\n\n1. **Try the Beta:** We are live! If you are interested in longevity, metabolic health, or just want a doctor who actually knows the full story, sign up: (pranadoc.com/login)\n2. **Intros:** We are looking to pilot with **self-insured employers** who care about reducing metabolic risk in their workforce. If you know a Benefits VP or a forward-thinking founder, we’d love an intro.\n\nCheers, Meer, Vishvam, & Sanjit\n\n![uploaded image](/media/?type=post&id=97692&key=user_uploads/2574475/d4b4b037-bce4-460d-8fcc-3bb04a9d9f97)\n\n", "url": "https://www.ycombinator.com/launches/PPg-prana-an-ai-doctor-that-monitors-you-24-7", "votes": 18, "created_at": "2026-02-10T19:01:48.568Z" } ] }, { "id": 31178, "name": "Cardboard", "slug": "cardboard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/385d871905e0fe30881f8b844b47edcc1f3c894b.png", "website": "https://cardboard.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Cardboard is an agentic video editor for growth/marketing teams and serious creators who need to ship videos consistently. Instead of agencies, long timelines, and infinite review cycles, teams give cardboard a footage + a goal (“3 variants”, “30s hook”, “testimonials”) to get a strong first cut in minutes on which they can iterate quickly.\r\n\r\nMultimodal LLMs can finally reason over footage, and WebGPU/WebCodecs make a real NLE possible in the browser. For the first time, an “AI director” inside a professional editor can be a reality.\r\n\r\nWe have to build two hard things at once: a high-performance editor in the browser and an agentic editor that is reliable for production use cases. Most startups do one; incumbents can’t rebuild their stack without breaking everything.\r\n\r\nSaksham and Ishan met in school and have known each other since 15 years. Saksham was Co-founder/CTO of Iterate AI (backed by EF) and posts content on social media; Ishan has spent ~5yr building memory-heavy, performance-critical browser apps at HackerRank (S11) and deeply understands browsers. He has built Hotspoter (5M+ downloads) when he was 14.\r\n\r\nTogether, we’re unusually suited to build the editor core others avoid.\r\n\r\nVideo is becoming the default distribution channel, and the team that iterates fastest compounds attention. Cardboard becomes the default workspace for video production, the way Canva/Figma became the workspace for design - because it’s collaborative, fast, and does the tedious parts for you.", "one_liner": "Agentic video editor", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768162565, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cardboard", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/cardboard.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/cardboardinc", "x_url": "https://x.com/usecardboard", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/385d871905e0fe30881f8b844b47edcc1f3c894b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1737031, "full_name": "Saksham Aggarwal", "title": "Founder/CEO", "founder_bio": "Saksham Aggarwal is the founder of Cardboard (W26). He studied CS at BITS Pilani and previously built AI products at Iterate AI (EF-backed startup). \n\nHe has published at ACL and has spoken internationally on AI evaluations. He was the first engineer at PYOR (backed by Coinbase and Castle Island) and worked in growth at Sequoia-backed Flint.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sakshamagg27", "x_url": "https://x.com/sxmawl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b925af1a1f65f6f3c024f4090e3f23dbcb1775d2.jpg" }, { "user_id": 694377, "full_name": "Ishan Sharma", "title": "Founder/CTO", "founder_bio": "Ishan Sharma is the founder of Cardboard (W26). He is a full-stack engineer with deep experience in high-performance web systems, creative tooling, and applied AI.\n\nPreviously, he spent ~4.5 years at HackerRank (S11), where he led multiple 0→1 products used by millions.\n\nHe started programming in 6th grade and built a Windows app in school that crossed 5.7M+ downloads and was featured on CNET and Softonic", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ishandeveloper", "x_url": "https://x.com/ishandeveloper", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c10e4c7c61eaa0b34b70ae6697a8a0eeee8065d1.jpg" } ], "jobs": [ { "id": 106736, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/cardboard/jobs/O0iuUEB-backend-engineer", "location": "Bengaluru", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106737, "title": "Senior Applied ML Engineer, Evals & Data", "url": "https://www.ycombinator.com/companies/cardboard/jobs/pw5Pk5E-senior-applied-ml-engineer-evals-data", "location": "Bengaluru", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107330, "title": "Founding Designer", "url": "https://www.ycombinator.com/companies/cardboard/jobs/pZUQWeq-founding-designer", "location": "Bengaluru / San Francisco", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "₹3M - ₹6M INR", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107331, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/cardboard/jobs/CPnEG9f-founding-design-engineer", "location": "Bengaluru / San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107332, "title": "Fullstack Engineer", "url": "https://www.ycombinator.com/companies/cardboard/jobs/QHP87El-fullstack-engineer", "location": "Bengaluru", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97467, "title": "Cardboard - Agentic Video Editor", "tagline": "Edit videos at the speed of thought!", "body": "**TL;DR**\n\nCardboard is an agentic video editor. It gives you the power of Premiere Pro or DaVinci Resolve without the learning curve. It is orders of magnitude faster + cheaper than the old way of making videos.\n\nIt lives in your browser and helps you go from a sea of **raw footage** (talking heads, screen recordings, screenshots, B-rolls) to a great video in seconds.\n\nThink of it as “**vibe editing**”\n\n\n\n**The Problem**\n\n**Video has become the default distribution channel for growth, marketing, and brand storytelling. The teams who iterate fastest on video, compound attention over time.**\n\nMany of us sit on mountains of raw assets - product walkthroughs, customer feedback, tweets, blogs, changelogs, emails, and newsletters - that should turn into **testimonials, launch videos, recaps, and ad experiments.**\n\nBut, editing is **painfully slow**. Getting to a first cut still means hours of manual work, expensive tools, and async feedback loops. This is where the momentum dies.\n\nAs a result, most teams ship far fewer videos than they should - not because they lack ideas or footage, but because the editing process can’t keep up.\n\n**The Solution**\n\n**We are building Cardboard - it is an agentic video editor that lives in your browser.**\n\nYou can:\n\n1. Ask for a first cut (“make a 60s recap” / “cut this into ads”)\n2. Search footage by meaning, not filenames\n3. Then refine it yourself on a timeline\n\nThe goal is to make video production feel closer to modern design / coding tools - fast, accessible, and collaborative - so the teams can iterate fast and ship more.\n\n**Why us?**\n\nWe met in middle school and have been best friends since the last 15yrs. We built Cardboard because we lived with this problem ourselves:\n\n* I create content on [Instagram](http://instagram.com/saksham.awl) and [LinkedIn](http://linkedin.com/in/sakshamagg27), with \\~250k views/month on an average.\n* Ishan (CTO) has been producing Apple-style internal launch videos for HackerRank’s all-hands demo days (350+ attendees) \\[Example: [Video 1](http://share.ishandeveloper.com/video-1), [Video 2](http://share.ishandeveloper.com/video-2)\\]\n\nBoth of us hit the same wall: tools like Premiere Pro or DaVinci are powerful, but the learning curve is steep and getting to a first cut takes hours. Creativity starts to feel like manual work.\n\nCardboard exists to remove those painful steps - so that people can focus on what they’re actually good at: **telling great stories.**\n\n**Ask**\n\nIf you’re leading or working in a **growth / marketing team** that uses video as a distribution channel (launches, ads, recaps, testimonials, or weekly content) and you care about **speed**, we’d love to work closely with you.\n\n\\\nStart using [Cardboard](https://usecardboard.com/)!\n\n\\- [@Saksham Aggarwal](https://bookface.ycombinator.com/user/1737031) and [@Ishan Sharma](https://bookface.ycombinator.com/user/694377) (Cardboard, W26)", "url": "https://www.ycombinator.com/launches/PM3-cardboard-agentic-video-editor", "votes": 43, "created_at": "2026-02-03T20:33:54.663Z" } ] }, { "id": 31179, "name": "Jinba", "slug": "jinba", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98895085a5f266d769869118dd2031844509bfec.png", "website": "https://jinba.io", "all_locations": "", "long_description": "Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000 enterprise users at major financial institutions.\r\n\r\nBuild something your colleagues want.", "one_liner": "Automate enterprise workflows through chat", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768673344, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "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/jinba", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/jinba.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/jinba", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98895085a5f266d769869118dd2031844509bfec.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1305643, "full_name": "Shoya Matsumori", "title": "Founder/CEO", "founder_bio": "🇯🇵 Ph.D. in CS / Co-Founder & CEO @ Jinba", "is_active": true, "linkedin_url": "https://linkedin.com/in/smatsumori", "x_url": "https://x.com/pineforesta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32e55046d43bb2fbdcd3845805c98fa4e4c04344.jpg" }, { "user_id": 1994211, "full_name": "Takuya Norisugi", "title": "Founder/COO", "founder_bio": "prev McKinsey manager / Co-Founder & COO @ Jinba", "is_active": true, "linkedin_url": "https://linkedin.com/in/takuya-norisugi-284790100", "x_url": "https://x.com/Gozengogo_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3811063d8ad2b198aebd06438bfd663490623e2f.jpg" } ], "jobs": [ { "id": 91073, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/jinba/jobs/UnPJsEv-founding-engineer", "location": "San Francisco / US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 91074, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/jinba/jobs/hKJ7YiB-founding-design-engineer", "location": "San Francisco / US / CA", "type": "Full-time", "role": "Design", "role_type": "Web design", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 91075, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/jinba/jobs/f6xNmGU-chief-of-staff", "location": "San Francisco / US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 98042, "title": "Jinba - Workflow Builder for Enterprise AI Automation", "tagline": "Used by over 40,000 enterprise users at Fortune Global 500 companies", "body": "### **TL;DR**\n\nJinba lets enterprises build AI workflows just by chatting. Unlike traditional no-code tools, you don't need to struggle with a seemingly friendly drag-and-drop interface. Think Lovable meets n8n, but built for the enterprise. We now serve 40,000 users across Fortune Global 500 companies in banking, insurance, and other highly regulated industries.\n\n### \n\n**Why this matters**\n\nEnterprises want AI automation but can't make it happen. They spend months building workflows that never make it to production. Internal engineering resources are stretched thin, consultants are expensive, and when something finally gets built, it stalls at deployment because it can't meet security, compliance, or scalability requirements.\n\nJinba fixes this. Business users go from idea to production-ready AI workflows just by chatting, with enterprise-grade security and compliance built in from day one.\n\n### \n\n**How it works**\n\n**1. Build AI workflows just by chatting with Jinba Flow.** No engineers needed.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/185f2855-73b6-4fc5-9bbe-96255d1b2870)\n\nDeploy as MCPs with one click.\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/5be8c689-741a-4746-8aed-9a2eaaba4792)\n\n**2. Your colleagues can use it in Jinba App.**\n\n![uploaded image](/media/?type=post&id=98042&key=user_uploads/1305643/1c2145df-4799-400f-b5d2-097a3113777c)\n\nEnterprise-ready from day one. Your IT and security teams won't have to worry about scaling, access control, or audit trails. On-prem deployment is available too.\n\n### **Our ask**\n\nIf any of these sound familiar, let's talk:\n\n1. Large enterprises with manual workflows\n2. Companies wanting AI automation without hiring engineers\n3. Organizations with strict security/compliance requirements\n4. Teams that tried no-code tools but hit scaling limits\n\n**Contact us at: [https://jinba.io/contact-sales](https://jinba.io/contact-sales)**\n\n**Sign up at: [https://jinba.io](https://jinba.io)**\n\n### \n\n**Founders**\n\n**Shoya Matsumori** (Co-founder and CEO) Ph.D. in machine learning.\n\n**Takuya Norisugi** (Co-founder and COO) prev McKinsey manager.", "url": "https://www.ycombinator.com/launches/PVK-jinba-workflow-builder-for-enterprise-ai-automation", "votes": 22, "created_at": "2026-02-23T23:17:00.975Z" } ] }, { "id": 31180, "name": "Seeing Systems", "slug": "seeing-systems", "former_names": [ "Seeing Systems Ltd", "Seeing Systems", "Seeing Systems Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d8e226478cb43c163b19e22186c3bab3bdb9668.png", "website": "https://www.seeing-systems.com", "all_locations": "London, England, United Kingdom", "long_description": "We engineer inexpensive, autonomous strike drones designed to operate in the most contested combat environments on Earth!\r\n\r\nBy combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\r\n\r\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes for iterative feedback.\r\n\r\nThink of us as Anduril, but with worse weather, and better banter.", "one_liner": "Modular AI-Commanded Drones for Defence", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1768422348, "tags": [ "Hardware", "Drones", "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/seeing-systems", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/seeing-systems.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/seeing-systems", "x_url": "https://x.com/S2_INC", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d8e226478cb43c163b19e22186c3bab3bdb9668.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/477d6d86739655ae1980c598667eb5d2363a8752.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2822007, "full_name": "Alexander Le Maitre", "title": "Founder/CEO", "founder_bio": "I've been obsessed with unmanned systems since I was a kid. Nobody was going to teach me embedded electronics or PCB design, so I taught myself.\n\nSince then, I've built Explosive Ordnance Disposal (EOD) training and diagnostic hardware for militaries - plus a few projects I'm still not allowed to talk about. I've trained special forces in fifth-generation warfare and modern IED tech.\n\nI'm from a small island called Guernsey. These days I run a company building tech that keeps the country safe.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-le-maitre-a9138a159/", "x_url": "https://www.x.com/Alex_10200", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ddba90120d950889505bd3c360846048249d8f03.jpg" }, { "user_id": 2537241, "full_name": "Matthew Le Maitre", "title": "Founder/CTO", "founder_bio": "Ex-Jane Street SWE, Top-Ranked CS Grad @ Cambridge, now building Defence Tech.\n\nPhysicist → Researcher → Consultant → Software Engineer → Founder 🚀\n\nTrying never to lose my inner child, whilst building things that really matter.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattlemaitre/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db02b50873d95d057676e7071ea66492a4dce742.jpg" } ], "jobs": [ { "id": 94035, "title": "Senior Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/sAnZW1T-senior-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "£60K - £90K GBP", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Altium" ] }, { "id": 94262, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/QbVAgqi-electrical-engineering-intern", "location": "London, England, GB", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "£2K - £3K GBP / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Altium" ] }, { "id": 94623, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/pBZFivv-software-engineering-intern", "location": "London, England, GB / Christchurch, England, GB", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "£2K - £3K GBP / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Arduino", "Python", "AI Agents" ] }, { "id": 98786, "title": "Mechanical Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/zlM5hzH-mechanical-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "£30K - £45K GBP", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "CAD Design" ] }, { "id": 98787, "title": "Electrical Hardware Engineer", "url": "https://www.ycombinator.com/companies/seeing-systems/jobs/p0iWpIm-electrical-hardware-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "£30K - £45K GBP", "equity_range": "0.10% - 0.25%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Altium" ] } ], "news": [ { "title": "Welcoming General Wesley Clark and General Sir Richard Shirreff to Our Advisory Board - Seeing Systems", "url": "https://www.seeing-systems.com/two-of-natos-most-senior-commanders-join-our-advisory-board/", "date": "Jun 27, 2026" }, { "title": "Як Seeing Systems з Y Combinator тестує автономні дрони в Україні ", "url": "https://ain.ua/2026/05/25/seeing-systems-ukraine/", "date": "May 25, 2026" }, { "title": "The Top 8 Robotics and Drone Startups in YC W26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-robotics-drone-startups-yc-w26/", "date": "Mar 18, 2026" }, { "title": "Alexander Le Maitre on Attritable Systems and Agentic Warfare | AIPressRoom", "url": "https://aipressroom.com/alexander-le-maitre-seeing-systems/", "date": "Feb 23, 2026" }, { "title": "‘Their acceptance rate is less than 1% – it’s harder than Harvard’", "url": "https://guernseypress.com/news/2026/02/11/their-acceptance-rate-is-less-than-1percent-its-harder-than-harvard", "date": "Feb 10, 2026" } ], "launches": [ { "id": 97412, "title": "Seeing Systems: Modular Autonomous Drones for Modern Warfare", "tagline": "We build modular, autonomous strike drones that adapt as warfare evolves.", "body": "# **Hey everyone**\n\nWe’re Alex & Matthew - The brothers building **Seeing Systems**.\n\n---\n\n## **TL;DR**\n\nWe're building **inexpensive, autonomous strike drones** designed to stay operationally relevant as warfare evolves. By combining true hardware modularity with an agentic control system that lowers cognitive load on operators, we enable faster upgrades, broader adoption, and more than 2x reduction in lifecycle cost.\n\nOur customers and partners include the UK Royal Marine Commandos, several other units in the UK, and 4 other NATO forces, and we are currently shipping prototypes to Ukraine for iterative feedback.\n\n\n\n## **Problem**\n\nMilitary forces face two linked challenges:\n\n1. **Platform Obsolescence:** Fixed drones require replacement or major rebuilds whenever missions or threats evolve, driving high costs and slowing operational adaptation.\n2. **The One Pilot Problem:** One person can only control one drone at once, requiring full attention.\n\nCountless stories can be found of western drone systems becoming obsolete, needing to be shelved and eventually replaced.\n\nA Few Examples:\n\n* \n* \n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/9dfb1275-b59e-4c17-9862-3a9d8a11534d)\n\n# **Solution**\n\nWe build autonomous, modular drones that solve both problems at once:\n\n* **Modular hardware:** Swappable payloads, sensors, compute, and comms let one platform support strike, ISR, or swarm missions. Upgradable and effective year after year.\n* **Agentic autonomy:** Automates tasks like navigation and coordination, so operators with no prior training can use systems to their full effectiveness.\n\nHow do we know? Well, Forward Deployed Engineers. Giving each unit we work with a point of contact, we take feedback and integrate them into our system in a matter of hours. A close collaboration with the UK Royal Marines Commandos is actually what led to the development of this system.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/7170ca7a-bd1d-4d2b-a6a7-f77ce762975e)\n\n## **The Team**\n\n**Matthew Le Maitre - Co-Founder, Software**\n\nFormer Jane Street Software Engineer and top-ranked CS graduate from the University of Cambridge. Matthew’s path started at the Mobile Robotics Lab at Cambridge, where he worked on autonomous systems and context-aware drones. He now leads the software side of Seeing Systems.\n\n**Alex Le Maitre - Co-Founder, Hardware**\n\nAlex has been obsessed with unmanned systems since childhood and is largely self-taught in embedded electronics, firmware, and PCB design. He has previously designed Explosive Ordinance Disposal (EOD) training and diagnostic hardware for military users, alongside projects with national-security implications. Originally from the island of Guernsey, Alex now leads hardware development with a focus on building robust systems that help keep our people safe.\n\n![uploaded image](/media/?type=post&id=97412&key=user_uploads/2822007/dfc9b55c-c1b7-4ac3-a6bb-8e7760b2d006)\n\nIf you’re a military contractor, defense organisation or special forces unit looking for a real operational edge, contact us at [founders@seeing-systems.com](mailto:founders@seeing-systems.com) &[ www.seeing-systems.com](http://www.seeing-systems.com)", "url": "https://www.ycombinator.com/launches/PLA-seeing-systems-modular-autonomous-drones-for-modern-warfare", "votes": 30, "created_at": "2026-02-02T21:03:43.432Z" } ] }, { "id": 31181, "name": "Synthetic Sciences", "slug": "synthetic-sciences", "former_names": [ "InkVell" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d12b5cddde967f28e71a5bdfa173bbd8e7a0b10c.png", "website": "https://syntheticsciences.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Synthetic Sciences is a research lab building infrastructure for scientific superintelligence. Empirical science is bottlenecked by verification that is slow, expensive, and imperfect. We work on tooling, evals, training environments, algorithms, and labs that make autonomous science possible.", "one_liner": "Infrastructure for Autonomous Science", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1770489645, "tags": [ "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synthetic-sciences", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/synthetic-sciences.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/synsci", "x_url": "https://x.com/SynScience", "fb_url": null, "cb_url": null, "github_url": "https://github.com/synthetic-sciences", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d12b5cddde967f28e71a5bdfa173bbd8e7a0b10c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1441373, "full_name": "Ishaan Gangwani", "title": "Co-Founder", "founder_bio": "Prev: IOAI '25 (HM), USACO Platinum, Z-Fellows, Emergent Ventures", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ishaan-gangwani-3a7792241/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1be13bfebc500d9569596d86efa347dd69024d0.jpg" }, { "user_id": 2581686, "full_name": "Aayam Bansal", "title": "Co-Founder", "founder_bio": "Built COVID-19 helpline infrastructure for Indian govt serving 50k+ people daily\nPatented (US, SG, IND) and Sold Orthopaedic AISock for 5-figures at 17\nPublished at NeurIPS, ICML, ICLR, AAAI, CVPR & other A* conferences\n\nPrev: aisock (Acq.), Z-Fellows, Emergent Ventures", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aayambansal/", "x_url": "https://x.com/aayambansal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8d0df5f64e75745de4e4b1b943ddbf7f0459d29.jpg" } ], "jobs": [], "news": [ { "title": "Indian teens among youngest founders to get accepted into Y Combinator W26 - The Economic Times", "url": "https://economictimes.indiatimes.com/ai/ai-insights/indian-teens-among-youngest-founders-to-get-accepted-into-y-combinator-w26/articleshow/125788177.cms?from=mdr", "date": "Dec 08, 2025" } ], "launches": [ { "id": 98217, "title": "Synthetic Sciences – AI Co-Scientists for End-to-End Scientific Research", "tagline": "Cursor for Scientific Research.", "body": "Hi! We’re Aayam and Ishaan, co-founders of [Synthetic Sciences](https://syntheticsciences.ai/).\n\n# **TL;DR**\n\nSynthetic Sciences is a platform where scientists delegate complex research tasks to AI co-scientists that handle the full research loop: **literature → hypotheses → experiments → results → paper drafts**.\n\nOver the last year, AI has been showing some traction in math research. Math gets the coverage because it’s easy to measure. But there is a non-trivial unlock to be made in accelerating the rest of science – ML research, computational biology, proteomics - where the tooling hasn't caught up yet.\n\n**Launch Video:** \n\n# **The Problem**\n\nScientific research is a marathon of iterations. Read hundreds of papers. Form hypotheses. Design and run experiments. Wait. Analyze. Write. Revise. Submit. Each cycle compounds.\n\nThe existing tooling doesn't help. AI “literature review” tools surface papers but don't carry context forward into your code or experiments. Jupyter, W&B & others track runs but are siloed from your literature and writing. Writing happens in isolation, even though it could be steering decisions earlier.\n\nResearch is a long chain of context-dependent steps, and our tools treat each one like it’s isolated. Every iteration forces you to rebuild state: what you read, what you tried, why you chose this method, what failed, what changed.\n\nA single research question becomes months of fragmented work scattered across tools, tabs, and time zones. And it's all on you. Every step requires your attention, your context, your time.\n\nYou can't parallelize yourself. If we could accelerate scientific research the way we’ve accelerated software engineering in the last 24 months we are guaranteed to see science breakthroughs that will massively benefit humanity.\n\n# **Our Solution**\n\nPoint synsci at a research question, a repo, or a dataset. Our AI co-scientists autonomously:\n\n* Search + synthesize literature grounded in your project\n* Generate high-quality hypotheses + idea trees tied to prior work\n* Design experiment plans + GPU job specs\n* Write and run code (Python, R, ML pipelines) in containerized environments\n* Launch and monitor experiments on serverless GPUs & GPU clusters\n* Output publication-ready drafts: LaTeX, figures, slides\n\nWe’ve mostly tested synsci on ML research so far, but we’re rapidly expanding across domains. It’s already strong in computational biology research: on BixBench Verified, our biology mode achieves state-of-the-art performance (92%).\n\n![uploaded image](/media/?type=post&id=98217&key=user_uploads/1441373/0d71bacf-1ac6-4ee5-973e-42a543973d04)\n\n# **Flywheel Mode: Own Your Models**\n\nIf you have users, you already have the rarest ingredient in AI: proprietary signal. Every correction, accept/reject, trace, and outcome becomes training data. Everyone has access to the same models and can buy the same tokens. Nobody else can buy your users, your logs, and your feedback loops. \n\nStrong open-weight models now make it possible to beat frontier performance on your specific tasks through post-training (SFT + RL). However, the problem is everything around the model: data plumbing, evals, deployment, and compute. That friction keeps most teams renting intelligence by the token instead of owning it.\n\nFlywheel Mode makes the loop painless. We handle the glue code and ship the workflow end-to-end across 20+ compute providers and hundreds of built-in skills. Use your AI co-scientists to run the full loop: train, evaluate, deploy, iterate.\n\n![uploaded image](/media/?type=post&id=98217&key=user_uploads/1441373/ea6a1549-dd1f-40e3-bd36-ae627be085b0)\n\n# **Our Story**\n\nWe met doing ML research at NUS, CMU and MIT CSAIL & published together at NeurIPS, ICML, and AAAI workshops. Ishaan came from competitive programming (top-ranked in India for IOAI Team Selection, USACO Platinum). Aayam previously built, patented & sold an AI orthopaedic sock and built COVID-19 infra serving 50k+ users daily. \n\n# **Our Ask**\n\n* **Try it:**[ ](https://app.syntheticsciences.ai)[syntheticsciences.ai](http://syntheticsciences.ai) - $5 in free credits when you sign up!\n* **If you’re a CTO / Head of R&D / research lead** and want to accelerate R&D with AI co-scientists, we’d love to talk.\n* **RL environments for scientific research:** We're building LHRL environments to post-train models on ML research workflows. If you're an AI lab interested in process-oriented data, let's talk.", "url": "https://www.ycombinator.com/launches/PY9-synthetic-sciences-ai-co-scientists-for-end-to-end-scientific-research", "votes": 20, "created_at": "2026-02-26T18:00:26.592Z" } ] }, { "id": 31182, "name": "Visibl Semiconductors", "slug": "visibl-semiconductors", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.png", "website": "https://visiblsemi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Visibl Semiconductors makes custom silicon accessible to hardware companies, starting with power electronics. We are an AI-native custom-silicon design partner that cuts ASIC development cost and timeline on mature nodes, helping teams deliver better performance and lower BOM cost.\r\n\r\nWe work with data-center and AI-infrastructure power, motor drives, industrial automation and robotics, industrial power supplies and conversion, battery systems and e-mobility powertrains, EV charging, solar, energy storage, grid power, HVAC, heat pumps, and appliances.\r\n\r\nV1 boards built from off-the-shelf parts are great for getting to market quickly, but scaling to v2+ volume requires optimizing cost, size, and manufacturability. Visibl folds those parts into custom silicon built around the product: a simpler BOM, reclaimed board space, fewer supply constraints, and automation-ready assembly.\r\n\r\nWe manage the full path from architecture and design through verification, fabrication, packaging, and production-ready silicon, working alongside hardware teams so they do not need an in-house chip team.", "one_liner": "Custom silicon for power electronics", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767637338, "tags": [ "Hard Tech", "Enterprise", "Enterprise Software", "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/visibl-semiconductors", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/visibl-semiconductors.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/visiblsemi/", "x_url": "https://x.com/visiblsemi", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/visibl-semiconductors", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9acdb09765b62086883672feeb576e191249bff.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": 931842, "full_name": "Bryce Neil", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Visibl Semiconductors. Passionate technologist and recipient of two of Canada’s most competitive academic scholarships. Bryce is a computer engineer with experience across engineering, data, and business. He has built production software and data systems for Deloitte’s OmniaAI team, healthcare, and the public sector. His work has run in leading U.S. hospitals and supported teams globally.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryceneil/", "x_url": "https://x.com/BryceNeil__", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4a73099532b0428b2822b3d566c3aa58aa1a33e.jpg" }, { "user_id": 2574530, "full_name": "Jordon Kashanchi", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Visibl Semiconductors. Jordon previously worked at Microsoft, Arm, and Intel, building expertise in AI accelerators, autonomous vehicle hardware, and graphics. Most recently at Microsoft, he designed digital logic and microarchitecture for next-gen custom AI silicon. He holds an MS in ECE from UT Austin and is published in PNAS and ACM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jordon-kashanchi-46357b143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c29f07f5f652b30a9a450937d9ee7519a73abfa.jpg" } ], "jobs": [ { "id": 113109, "title": "Senior Digital IC Engineer — RTL Design & Verification", "url": "https://www.ycombinator.com/companies/visibl-semiconductors/jobs/o2iGDo7-senior-digital-ic-engineer-rtl-design-verification", "location": "Remote (US)", "type": "Contract", "role": "Engineering", "role_type": "Hardware", "salary_range": "$180K - $250K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Verilog", "FPGAs" ] } ], "news": [], "launches": [ { "id": 97968, "title": "Visibl Semiconductors: The First AI-Enabled Coordination Layer for Chip Design", "tagline": "Meet Visibl, The First AI-enabled Coordination Layer for Chip Design", "body": "Hey everyone 👋\\\nWe’re Bryce and Jordon, co-founders of VISIBL SEMICONDUCTORS™\\\n\\\n**Launch video:** \n\n---\n\n**TL;DR**\\\n_Visibl is the first coordination layer for chip design._ Requirements, architectural intent, and implementation drift out of sync as designs and teams scale. Visibl surfaces drift early, opens cases with evidence, and delivers review-ready fixes enabling improved schedule, cost, and risk outcomes in chip design.\n\nCheck out LinkedIn post here:\\\n\n\n**Problem**\\\nCoordination has always been a human job: monitoring drift, triaging failures, keeping the schedule aligned. It demands constant vigilance, reacting to failures, proactively scanning for issues, always watching.\n\nAs designs scale, no one can hold all that context: the specs, the implementation, the test results, the decisions scattered across Slack, Jira, and docs. Issues slip through. Drift compounds. We saw this firsthand. There was no software to solve it. So we're building it.\n\nOur experience spans chip design and high-stakes production systems. We're solving a problem there was never enough human bandwidth to address, but one that directly impacts the most important outcomes in chip design: schedule, cost, and risk.\n\n**What Visibl Does**\\\n\\\n**Monitors** - specs, implementation, CI, and all design collateral to detect drift early\n\n**Investigates** - creates cases with evidence: spec sections, RTL refs, CI logs, historical decisions\n\n**Proposes** - agents suggest fixes, run verification, package review-ready diffs\n\n**Gates** - human approval required, nothing ships without explicit sign-off\n\n### —\n\n\\\n**Results**\\\n\\\n**Schedule** - Eliminate weeks lost waiting for the one engineer with context to debug failures\n\n**Cost** - 10x less engineering overhead on triage; your team builds instead of firefighting\n\n**Risk** - Catch issues early to minimize rework; avoid late-stage surprises that lead to $10M+ respins\\\n\\\n\\\n\\\n\\\n**Instant Dispatch & Case Creation**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d732540d-c0f2-416d-9402-378b41735ffe)\n\nAgents spin up immediately on regressions, failing PR checks, spec updates, and more. Visibl opens a case automatically.\n\n---\n\n# \n\n—\n\n\\\n**Evidence Bundle**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/e869a320-410e-4c42-9126-535bd4c9b4be)\n\n\\\nEach case comes preloaded with spec sections, RTL refs, CI logs, and decision history.\n\n# \n\n—\n\n\\\n**Recommended Fix**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/d5e63a58-2b58-4e78-8278-652a0808b651)\n\nVisibl proposes three fix paths and recommends the best one for approval. User can also clarify and specify their own intent.\n\n# \n\n—\n\n\\\n**Verified Review-Ready Diff**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/45650b40-9fc2-477a-8ffa-8c29cf6bac09)\n\nApproved changes are applied, verified, and packaged as a review-ready diff with results.\\\n\\\n\\\n\\\n**Role-Based, Team-Based, and Individual Views**\n\n![uploaded image](/media/?type=post&id=97968&key=user_uploads/931842/2c568efd-b5a0-42db-be95-97f9cbfde4d8)\n\nRole-specific views surface the same underlying truth at the right level of detail. For example, the executive view shows how Visibl ambiently ingests signals across the org and distills them into what leaders care about most—readiness, schedule impact, and top tapeout risks—so they can take action quickly. **Visibl also lets executives (and every role) act directly on these insights, drill into the underlying evidence, assign owners, and drive cases to resolution.**\n\n\\\n**Our Ask**\\\n\\\n**If you have a friend who designs chips at a semiconductor or hardware company, we would really appreciate an intro.** Even a quick forward of this post helps.\\\n\\\nIf you are a:\n\n* _DV / CI owner_\n* _Design methodology / flow owner_\n* _Team heading into integration, freeze, or pre-tapeout_\n\n…we’d love to talk.\n\n**Schedule a demo:** [**founders@visiblsemi.com**](mailto:founders@visiblsemi.com)\n\n---", "url": "https://www.ycombinator.com/launches/PU8-visibl-semiconductors-the-first-ai-enabled-coordination-layer-for-chip-design", "votes": 13, "created_at": "2026-02-19T15:43:41.410Z" } ] }, { "id": 31183, "name": "Patientdesk.ai", "slug": "patientdeskai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61038c47ba4c75630383f542220a03d2ed7b93d4.png", "website": "https://patientdesk.ai/", "all_locations": "", "long_description": "Patientdesk is an AI bookings system that helps healthcare practices make more money. We do this by handling bookings, payments, and insurance to fill up a provider's calendar with high value appointments. ", "one_liner": "AI front & back office agent for dental practices ", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1764074488, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/patientdeskai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/patientdeskai.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/patientdesk-ai/", "x_url": "", "fb_url": "https://www.facebook.com/patientdeskai", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61038c47ba4c75630383f542220a03d2ed7b93d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2594817, "full_name": "Oncel Ozgul", "title": "Founder/CEO", "founder_bio": "Co-founder @ Patientdesk.ai. Aced the Turkish National High School Exam and ranked #1 across 1.2 million students. Graduated with near 4.0 GPA from the #1 ranked university in the Netherlands. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oncelozgul", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/754eaf54c60c479a670e17f150dd74a2708a2d66.jpg" }, { "user_id": 2623620, "full_name": "Emre Kaplaner", "title": "Founder/CTO", "founder_bio": "Co-founder @ Patientdesk.ai. Ranked #1 out of 1.2M students in the Turkish national high school exam. Studied Data Science & Econometrics at UvA with 3.98 GPA. Turned down LSE twice to build Patientdesk with my co-founders.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emre-kaplaner-7b3a3b15b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ea20e1ef33459ce729392a8d5a80aa2f0c5f4d6.jpg" }, { "user_id": 2617266, "full_name": "Fikri San Koktas", "title": "Founder/COO", "founder_bio": "Building AI agents for dental practices at Patientdesk.ai. BSc Computational Engineering & MSc AI @ Aalto University. Ranked 1st among 1.2M students in Turkish national high school exam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fikri-san-koktas-47a73b1ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3db0ac4acf4e826a97d8f60026e2ac4f4014f89d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98988, "title": "Patientdesk.ai: AI Native Operating System for Dental Clinics", "tagline": "All-in-one operating system built for real dental workflows.", "body": "**TL;DR:** Patientdesk handles inbound and outbound calls, scheduling, live insurance verification, claims submission, and billing for dental clinics — all in one system. We grew from $17K to $50K MRR in 8 weeks and have driven $1.8M in incremental revenue for our customers.\\\n\\\n \n\n👋 **Hi, we're Oncel, Şan, and Emre.**\n\nWe've been best friends since 2016. All three of us ranked #1 nationwide out of 1.2 million students on the Turkish national exam, ended up in the same high school dorm room, and have been working together ever since. Before Patientdesk, we ran a dental marketing agency and our own call center for two years. We didn't find this problem. It found us.\n\n🔴 **The problem**\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/da263c64-fc8a-45ab-a59f-a1bbb5702156)\n\nThe US dental industry processes $189 billion in services annually across 135,000 clinic locations. Yet the average practice runs on five disconnected tools that don't talk to each other. The consequences are severe:\n\n* 15% of insurance claims are denied, 80% of those denials are preventable\n* 65% of denied claims are never resubmitted\n* Front desk staff spend up to 20 hours per week on manual insurance verification alone\n\nEvery time data moves between tools, a human moves it manually. A wrong code, a missing attachment, a verification that never made it to the claim. The clinic doesn't get paid. This is not a staffing problem. It's a coordination problem. And you can't fix a coordination problem by adding more tools.\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/e7b525fc-ccb3-434f-be85-43a83ae665fd)\n\n✅ **What we built**\n\nPatientdesk is the AI-native operating system for dental practices. We started with the front office and we're building toward owning the entire stack.\n\nToday we handle:\n\n* **Inbound and outbound calls** — 24/7 coverage, no missed calls, no voicemails\n* **Scheduling** — books directly into the practice management software\n* **Live insurance verification** — we are the first system to verify insurance during the booking call, in real time, without any manual handoff\n* **Claims submission and denial follow-up** — we submit claims directly and follow up on denials automatically so clinics stop leaving money on the table\n* **Payments and billing** — automated reminders and collection\n\nOur goal is to replace the $15,000/month stack clinics currently use with a single platform starting at $7,500/month.\n\n📈 **Traction**\n\n* $17K → $50K MRR in 8 weeks, 39% MoM growth\n* $1.8M in incremental revenue driven for customers since September 2025\n* 60+ clinics live across the US, Australia, and the UK\n* Official voice provider for 2 major practice management platforms\n\n![uploaded image](/media/?type=post&id=98988&key=user_uploads/2594817/d5a474a4-d274-4e8c-850a-7609529246a4)\n\n🙏 **Our ask**\n\n* Intros to dental groups, DSOs, or healthcare operators\n* Feedback from founders who scaled vertical SaaS or voice-heavy products\n* Anyone who has navigated insurance and claims workflows at scale\n\nHappy to give any YC founder a live walkthrough.\n\nReach us at [founders@patientdesk.ai](mailto:founders@patientdesk.ai) or at [patientdesk.ai](http://patientdesk.ai)", "url": "https://www.ycombinator.com/launches/Pka-patientdesk-ai-ai-native-operating-system-for-dental-clinics", "votes": 13, "created_at": "2026-03-21T17:39:44.585Z" }, { "id": 97818, "title": "Patientdesk.ai: Patient-Aware AI Booking for Dental Clinics", "tagline": "All-in-one patient intake system built for real dental workflows.", "body": "We’re **Oncel, San, and Emre**, founders of **Patientdesk**.\\\n\\\nOne quick data point before we get into it.\n\nIn December alone, one of our customers generated $350k in revenue directly from Patientdesk bookings.\\\n\\\n**TL;DR**\n\nPatientdesk is a **patient-aware AI booking system for dentists.** We handle calls, bookings, payments, and **real-time insurance verification during the call** so clinics capture more revenue and fill their calendars with higher-value appointments.\\\n\\\nWe are growing rapidly, especially in the **US**. We are live in **60+ clinics** across the US, Australia, and the UK, partnered with **3 major practice management systems**, and have been **invited to exhibit at the world’s largest dental fairs like ADX**.\n\n## \n\n## **The Problem**\n\nDental practices leak revenue at the front desk.\n\nCalls come in while teams are busy or after hours. Try calling a dentist in the evening or on the weekend and it will usually go straight to voicemail.\n\nPatients do not wait. They move on.\n\nThis becomes even more painful with paid acquisition. Clinics invest heavily in ads, but often follow up hours or days later. By then, the patient is gone.\n\nWhat’s left:\n\n* Missed opportunities\n* Underutilized provider calendars\n* High CAC with poor conversion\n\nThis bottleneck has existed for decades and worsens as clinics scale.\n\n## **What We Built**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/80f45110-8b4d-47e2-8824-15d30704d9b2)\n\nPatientdesk is an AI booking system built specifically for dental clinics.\n\nInstead of solving one piece of the workflow, we run **patient intake end to end**, without increasing staff workload or forcing clinics to change how they operate.\\\n\\\n**Unlike generic booking tools, Patientdesk is patient-aware.**\n\nIt understands who is calling, their history with the clinic, and what type of appointment they are asking about, so conversations are handled with the right context instead of starting from zero every time.\n\nPatientdesk covers:\n\n* Incoming patient calls\n* Intake and qualification\n* Appointment booking\n* **Insurance verification in real time during the call**\n* Payments and deposits\n\nAll within a single system.\n\nWe are the first system that verifies insurance live during the call within a couple of seconds. This lets clinics confirm coverage and pricing immediately, instead of booking blindly or calling patients back later, which is where many high-value cases drop off.\\\n\\\nPatients get answers immediately instead of waiting for callbacks or manual checks.\n\n## **How It Works**\n\nPatientdesk integrates directly with major clinic management systems across the US, Australia, and the UK.\n\nWe have **active partnerships with three major practice management systems**, allowing us to book, update, and verify information directly inside clinic systems.\n\nWhen something needs to be booked, checked, or updated, it happens automatically inside the clinic’s existing system.\n\nIf a patient asks about coverage, **insurance is verified on the spot**, typically within seconds.\\\nNo follow-up calls. No dropped patients.\n\nAfter the visit, Patientdesk continues to work:\n\n* We follow up with patients\n* When a payment is due, we handle it automatically\n\nThe front desk is no longer a bottleneck and becomes a revenue engine.\n\n## **Traction**\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/c67cb867-68bb-4fbd-9106-43aebb53e2d7)\n\n* Live in **60+ clinics**, primarily dental, across the US, Australia, and the UK\n* Growing rapidly in the **US dental market**\n* Handling real patient calls every day\n* Partnered with **3 major practice management systems**\n* Invited to **the largest dental conferences and trade shows globally**\n\nPatientdesk is already the core infrastructure for the clinics we support.\n\n## **🔍 Why We’re Building This**\n\nWe did not arrive here by theory.\n\nBefore Patientdesk, we spent years working directly with clinics. We built workflows, trained front desk teams, and operated our own call center.\n\nWe saw that while there are tools for individual steps like phones, bookings, and insurance, nothing handles patient intake completely in one system.\n\nPatientdesk came from that gap.\n\n![uploaded image](/media/?type=post&id=97818&key=user_uploads/2594817/2b5239db-0031-4bf5-98d0-397bb72c06ad)\n\n## **🤝 Our Ask**\n\nIf any of the below resonate, we would love your help:\n\n* Introductions to dental groups, DSOs, or healthcare operators\n* Feedback on positioning such as AI receptionist versus intake or revenue platform\n* Advice from founders who have scaled vertical SaaS or voice-heavy systems\n\nHappy to give YC founders a live walkthrough.\n\n📬 Reach us via DM or at [**founders@patientdesk.ai**](mailto:founders@patientdesk.ai)\\\n🌐 ", "url": "https://www.ycombinator.com/launches/PRi-patientdesk-ai-patient-aware-ai-booking-for-dental-clinics", "votes": 12, "created_at": "2026-02-14T03:04:54.668Z" } ] }, { "id": 31185, "name": "Chamber", "slug": "chamber", "former_names": [ "Astraio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1fc77901b81373bfd2cdb4b4fd70816597bb561.png", "website": "https://www.usechamber.io", "all_locations": "Seattle, WA, USA", "long_description": "Chamber puts your AI infrastructure on autopilot, and saves your machine learning engineers hours of manual effort. Our agents continually monitor, detects failures, provide root-cause analysis, resolve issues, and optimize AI workloads and scale across clouds. It operates like an autonomous infrastructure team, helping save your research and engineers hours each day, and debugging workload performance issues. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.", "one_liner": "The AIOps Agent for ML Teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1768078423, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/chamber", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/chamber.json", "year_founded": 2026, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usechamber/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/chamber-f81e", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1fc77901b81373bfd2cdb4b4fd70816597bb561.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": 239960, "full_name": "Charles Ding", "title": "Founder/CEO", "founder_bio": "Second Time Founder with 1X Exit | Former Engineering Leader at Meta & Amazon | Ex-Microsoft. We are building to accelerate the world’s AI adoption and innovation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dingcharles", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94d7d45ceb2826b8c4d214d7328c28d8022e013e.jpg" }, { "user_id": 3258010, "full_name": "Andreas Bloomquist", "title": "Founder", "founder_bio": "Shipped observability and infrastructure products at scale across AWS and Amazon. At AWS, I launched CloudWatch Application Signals, the native APM solution for AWS. At Amazon, I led the launch of the central GPU orchestration service, centralizing access and maximizing utilization across Amazon's science and AI/ML teams.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andreasbloomquist/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cf3cd9b59db458916d3c98a83edfe269fe84754.jpg" }, { "user_id": 3208930, "full_name": "Jason Ong", "title": "Founder/CPO", "founder_bio": "I’m a software engineer from Malaysia who moved to the U.S. in 2016. I’ve built high-impact systems at Amount, Avant, Flexport, and Amazon. I’ve worked across fintech, logistics, and GPU-related scheduling tooling, where I saw how hard distributed training is for many teams. I’m now co-founder of Chamber, focused on simplifying GPU orchestration for training workloads.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jshenong/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fb1dc3c99a8654f3d4af40243729694b3878d5b.jpg" }, { "user_id": 3163670, "full_name": "Shaocheng Wang", "title": "Founder/CTO", "founder_bio": "I am a cofounder of Chamber and a former Senior Software Engineer at Amazon. Over the past 9+ years, I’ve built and launched multiple 0→1 AWS products, with deep expertise in large-scale observability, distributed systems, and AI infrastructure efficiency. At Chamber, I’m applying this experience to build intelligent AI workload orchestration and observability software that helps companies run AI workloads much more efficiently.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaocheng-wang-b766b7a6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/448874606e164a860191dbffeb1d3e37dca7296e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96703, "title": "Chamber – Autopilot for AI Infrastructure 🚀", "tagline": "Turning Idle GPUs Into Enterprise AI Velocity", "body": "# **TLDR;**\n\n[**Chamber**](https://www.usechamber.io) is building AI infrastructure platform that automates governance and resource optimization for enterprise.\n\n**Ask**: If you’re at (or know) a company spending **millions on reserved GPU infrastructure** we’d love to talk.\n\nOur Launch Video: \n\n**Who are we?** We're former Amazonians that helped build and scale large-scale infrastructure optimization, delivering hundreds of millions in cost savings, and we’re now bringing those learnings to help other enterprises uncover idle AI infra, accelerate workloads and reduce wasted money on reserved idle GPUs. _([Featured in Business Insider](https://www.businessinsider.com/amazon-strategy-overcome-gpu-shortages-nvidia-2025-4))_\n\nLinkedIn: [Charles](https://www.linkedin.com/in/dingcharles/), [Shaocheng](https://www.linkedin.com/in/shaocheng-wang-b766b7a6/), [Jason](https://www.linkedin.com/in/jshenong/), and [Andreas](https://www.linkedin.com/in/andreasbloomquist/)\n\n**Problem:** Despite massive AI infrastructure investments, 30–60% of enterprise reserved GPU capacity sits idle in siloed allocations, slowing down teams who need it most, and silently driving up costs. This inefficiency represents $240B+ in annual waste across the industry, and it’s only growing as AI research and development accelerates.\n\n**Solution:** [Chamber](https://www.usechamber.io) puts your AI infrastructure on autopilot. Our agentic AI enabled platform orchestrates, governs, and optimizes your AI infrastructure so teams can run \\~50% more workloads on the same GPUs without manual intervention. It operates like an autonomous infrastructure team: continuously monitoring GPU clusters, forecasting demand, detecting unhealthy nodes, and reallocating resources in real time to where they create the most impact. Your ML teams move faster, infra waste drops, and GPU bottlenecks disappear.\n\n* **Discover & optimize idle GPU capacity**\\\n Automatically identifies underutilized GPUs and hidden optimization opportunities across clusters, teams, and workloads.\n* **Agentic AI–driven orchestration**\\\n Automatically right-size workloads, manage resource allocations, and orchestrate workloads across teams based on real-time demand and priority.\n* **Self-healing infrastructure**\\\n State-of-the-art bad-node detection with automated remediation to keep clusters healthy and jobs running.\n* **Deep AI-powered analytics**\\\n Detect anomalies, forecast usage, and slice and dice workloads by team, user, job type, or priority.\n* **Proactive alerts & executive visibility**\\\n Native integrations with Slack, Email, and PagerDuty, and more to deliver real-time alerts, executive digests, and clear action items.\n\nOur Product Demo: \n\n**Who is this for:**\n\n* **AI/ML teams** looking to move fast and run more workloads without manual GPU allocations, priority spreadsheets, or burning budget on unused GPUs \n* **Engineering leaders & executives** who need real-time visibility, accountability, and control over GPU spend to deliver higher ROI to their executives and shareholders\n\n \n\n**A gift from us:** We’re offering a **complimentary GPU Intelligence Dashboard** and **advanced monitoring & discovery agent** that gives you immediate, production-grade visibility into your AI infrastructure.\n\n* Automatically discover and expose unused GPU capacity in real time\n* Understand utilization patterns across teams and workloads\n* Receive executive-ready email reports on GPU usage and trends\n* AI driven insights from your cluster utilization metrics\n\n[Create an account](https://app.usechamber.io/signup) to start assessing your opportunity to run more workloads in minutes for free.\n\nWant to talk with us? Schedule a call with us [here](https://usechamber.io/#contact).\n\n![uploaded image](/media/?type=post&id=96703&key=user_uploads/239960/115e0dee-5122-4baa-96e8-49cba5cd9c37)\n\n", "url": "https://www.ycombinator.com/launches/P9j-chamber-autopilot-for-ai-infrastructure", "votes": 269, "created_at": "2026-01-13T05:47:42.096Z" } ] }, { "id": 31186, "name": "End Close", "slug": "end-close", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/702a69de8be0ca705211d6f2e524faee924e5bb8.png", "website": "https://endclose.com", "all_locations": "", "long_description": "End Close builds automatic reconciliation for payments companies like fintechs, marketplaces, banks and payroll companies. Reconciliation helps companies track every dollar and resolve every exception, ensuring they have no money loss, can report audit ready financials, and stay compliant.\r\n\r\nSean (CEO) spent the last 6 years building the reconciliation org at Modern Treasury (S18), processing a trillion dollars in payments across 40 banks with 99.995% automation. Fast growing companies like Modern Treasury are forced to build a solution in-house or buy a legacy solution. End Close provides a modern reconciliation system that works with a company's existing stack and is managed by AI agents.\r\n\r\nException handling is where 99% of the manual work happens today, payment ops teams spend hours gathering context across various data sources to investigate each ticket. End Close provides an AI ops agent that connects to a company's data warehouse, invoicing platform and payment processors to triage and resolve issues without human intervention.\r\n\r\nLegacy providers only provide reconciliation for month end close applications. End Close continuously reconciles with developer friendly APIs, allowing teams to integrate real time payments data within their products to create product experiences for customers like faster balance top-ups, instant trading etc. \r\n\r\nNew payment rails and agent-to-agent payments are increasing online transaction volumes, making reconciliation a growing challenge for companies. David (CTO and 2nd time YC founder) most recently built these kinds of high-scale ingestion pipelines when starting and leading error tracking at PostHog (W20), the fastest growing product in the company's history.", "one_liner": "AI powered reconciliation for high-volume payments companies", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1771459857, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/end-close", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/end-close.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/endclose", "x_url": "https://x.com/endclosehq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/702a69de8be0ca705211d6f2e524faee924e5bb8.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": 348419, "full_name": "Sean Bolton", "title": "Founder/CEO", "founder_bio": "Sean is the co-founder and CEO of End Close.\n \nSean was the third hire at Modern Treasury (S18) where he spent 6 years as the tech lead of payments engineering before building and running the reconciliation org. While there he scaled the product to $350B in annual payments volume and $1T in annual reconciliation volume with 99.995% automation.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/boltonsean", "x_url": "https://x.com/SeanBolton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6c165b218a771e49fc13565d7af6281baaacfd4.jpg" }, { "user_id": 85503, "full_name": "David Newell", "title": "Founder", "founder_bio": "David is the co-founder and CTO of End Close.\n\nBefore End Close, David was the team lead at PostHog (W20) for the error tracking product which became the fastest growing in the companies history. David previously founded Unflow (S19) and has worked as a product engineer at Intercom and Basecamp.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dnewell1/", "x_url": "https://x.com/DavidNewell95", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6937245c87524ff51e10e25cb81d87012974e3fe.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98256, "title": "End Close: Solving payments reconciliation with AI Agents", "tagline": "AI powered reconciliation at scale", "body": "**TLDR**\n\nEnd Close is building automatic reconciliation for payments companies, replacing manual ops work with AI agents that automatically investigate and resolve every exception.\n\nOur team has 6 years of experience building systems to reconcile a trillion dollars annually.\n\n\n\n**The Problem**\n\nEvery day, ops teams at payments companies spend hours manually investigating exceptions - transactions that didn't match, funds that can't be accounted for, discrepancies across banks, processors, and ledgers. Legacy reconciliation tools weren't built for this. They were designed for month-end close, not real-time fintech infrastructure. And the cost of getting it wrong is real: lost money, unreliable financials, and compliance exposure.\n\n**The Solution**\n\nEnd Close continuously ingests records from your banks, processors, and data warehouse - so exceptions are caught as soon as they arise, not weeks later during month-end close.\n\nAnd unlike most reconciliation tools that only tell you something is wrong, our AI agent handles exceptions end-to-end before they have time to compound - pulling context from connected systems, finding the root cause, and resolving them without looping in your team. Hours of manual investigation become minutes of autonomous work, with full transparency into every decision.\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/736cf82d-73f6-460b-9223-a963e79187e9)\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/0bda9aa6-2278-40a3-9a62-86649664fbf0)\n\n**About Us**\n\nSean and David are the co-founders of End Close.\n\nSean spent 6 years building the reconciliation org at Modern Treasury (S18) where he was the 2nd engineering hire, processing a trillion dollars in payments across 40 banks with 99.995% automation. He has built high volume ACH and Wire origination systems and is the primary contributor of the popular open-sourced LedgerSync library for integrating with legacy ERP providers.\n\nDavid is a second time founder, having previously gone through YC S19 with Unflow, helped creators earn $100k+ selling live classes online during COVID. Since then he led the error tracking team at PostHog (W20). He was responsible for launching and growing the product to thousands of customers in its first 6 months, the fastest growing in the company’s history. He also has experience as a product engineer at Intercom and Basecamp\n\n![uploaded image](/media/?type=post&id=98256&key=user_uploads/348419/a80251f9-c9b1-4dd7-933d-7b839bc0d243)\n\n**Our Asks**\n\nIf you team is unhappy with legacy solutions like Blackline or your ops team is wasting time manually reconciling payments, [talk to us today](https://calendly.com/sean-endclose/end-close-book-a-demo)", "url": "https://www.ycombinator.com/launches/PYm-end-close-solving-payments-reconciliation-with-ai-agents", "votes": 10, "created_at": "2026-02-27T07:25:56.636Z" } ] }, { "id": 31187, "name": "Fenrock AI", "slug": "fenrock-ai", "former_names": [ "new co", "Fenrock.AI", "Fenrock AI", "Fenrock AI (YC W26)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/49628c649d0cbcd7910ecb380ad944b7613d8242.png", "website": "https://fenrock.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We're building the Legora for traditional financial services, working closely with US bank CEOs to transform their businesses.", "one_liner": "AI agents for banks", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1769406704, "tags": [ "Fintech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/fenrock-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fenrock-ai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fenrock-ai", "x_url": "https://x.com/FenrockAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/49628c649d0cbcd7910ecb380ad944b7613d8242.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": 1914554, "full_name": "Charu Sharma", "title": "Founder/CEO", "founder_bio": "We're building specialized AI agents for banks to 10x back office functions.\n\nI previously founded and scaled 2 VC-backed companies to millions of users, hundreds of employees, and tens of millions raised from top-tier VCs, including General Catalyst's Hemant Taneja.\n\nFun fact: Fought goons in a train robbery in Mumbai and got the National Bravery Award from the Indian Prime Minister & President.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charusharma1/", "x_url": "https://x.com/charu1603", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/837d3354899bc42b763bc46606e17f2307c309fd.jpg" }, { "user_id": 1974434, "full_name": "Michael M", "title": "Founder/CTO", "founder_bio": "We're building specialized AI agents for banks to 10x back office functions.\n\nI previously spent 10 years building cutting-edge ML at Google and Apple for billions of users. I invented ways to train ML models without exposing private data, built Apple's first privacy-preserving ML at scale, and designed ML that helped a startup go public.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fiveseventyeleven/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ef7777ef756d822aa9721993e9be6f81978215c.jpg" } ], "jobs": [ { "id": 98553, "title": "Founding Engineer (Backend)", "url": "https://www.ycombinator.com/companies/fenrock-ai/jobs/HjrhODi-founding-engineer-backend", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 98554, "title": "Founding Engineer (Full stack)", "url": "https://www.ycombinator.com/companies/fenrock-ai/jobs/cjkr5RF-founding-engineer-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 98614, "title": "Fenrock AI - back office AI agents for banks", "tagline": "Process loans in minutes. Investigate 10x fraud alerts. Resolve customer complaints in seconds.", "body": "Fenrock AI is building AI agents for banks to 10x their back office functions.\n\nThese teams still run on a series of disjointed legacy systems. They are drowning in extremely manual work and backlogs, missing deadlines, and risking regulatory fines. \n\nFenrock overlays on your existing stack and seamlessly integrates internal policies and SOPs.\n\n**With Fenrock AI, banks can:**\n\n💰 Make a lot more money by **processing loans in minutes**, not months.  \n\n🤩  Offer stellar customer experiences by **resolving complaints in seconds**.  \n\n💪 Investigate **10x fraud and money-laundering cases** per analyst with bulletproof audit logs, and pass every regulatory exam. \n\n[\\[Launch video\\]](https://youtu.be/49Aycd2urmM)\n\nNo need to switch systems or migrate data.\n\n![uploaded image](/media/?type=post&id=98614&key=user_uploads/1914554/5c1c98aa-58d8-41f6-a20a-7fa144ae076b)\n\nWe have **deep experience building in highly regulated spaces**, and we were one of the **first teams to ever build AI agents**. \n\n[Charu](https://www.linkedin.com/in/charusharma1/) founded one of the largest healthcare API companies, backed by General Catalyst, and scaled it to over 6 million patients and 100+ employees.\n\n[Michael](https://www.linkedin.com/in/fiveseventyeleven/) built Apple’s first privacy-preserving machine learning at scale, used by billions worldwide, and invented techniques to train ML models without private data. \n\nIf you’re running a bank, Fenrock AI is a no-brainer. Email us at [charu@fenrock.ai](mailto:charu@fenrock.ai) today! ", "url": "https://www.ycombinator.com/launches/PeY-fenrock-ai-back-office-ai-agents-for-banks", "votes": 49, "created_at": "2026-03-09T15:50:42.372Z" } ] }, { "id": 31188, "name": "Maywood", "slug": "maywood", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/25766f301c649782f67a8e41bd075b4e72544918.png", "website": "https://maywoodai.com/", "all_locations": "New York City, NY, USA", "long_description": "Maywood is the first finance-compliant proactive AI that runs 24/7, working across your network, pipeline, and active processes, running constantly in the background and surfacing things you'd otherwise miss. It tracks relationships and sector context to flag when a target is gearing up for a process (and drafts the outreach in your voice), watches network activity across LinkedIn, news, and conference follow-ups, and surfaces where active processes stand, including what's at risk since you last looked.\r\n\r\nIt also auto-updates CRMs and trackers and creates meeting briefs that includes relationship history, recent activity, deal context, external research, talking points that can pull from internal and external data sources. Dealmakers interact with it over email, Teams, or the platform itself. ", "one_liner": "The first finance-compliant proactive AI that runs 24/7", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1770247865, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "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/maywood", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/maywood.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maywood/", "x_url": "https://x.com/maywoodai?s=21&t=VSCMuGGZdlswu2O-sROs-Q", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/25766f301c649782f67a8e41bd075b4e72544918.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": 1812971, "full_name": "Drake Goodman", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Maywood. Ex-Blackstone. Huntsman Program @ Penn. 2x Founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drake-goodman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47e0d9bdc3c41593a2a3879f786462880d2482fc.jpg" }, { "user_id": 2969341, "full_name": "Kent Goodman", "title": "Founder/COO", "founder_bio": "Co-Founder of Maywood. Ex-BCG. EECS & Sloan @ MIT\n2x founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kent-goodman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3d667f3b008027c1dd02dc738ae87296f298923.jpg" }, { "user_id": 3208619, "full_name": "Esteban Vizcaino", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Maywood. EECS @ MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/esteban-vizcaino-9920a5210/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81e85b83c0cffd57d69c6248a695848a43bdaeb5.jpg" } ], "jobs": [ { "id": 89718, "title": "AI Researcher ", "url": "https://www.ycombinator.com/companies/maywood/jobs/1u2jRjy-ai-researcher", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Deep Learning", "Reinforcement learning (RL)" ] }, { "id": 89720, "title": "Applied AI Engineer ", "url": "https://www.ycombinator.com/companies/maywood/jobs/DV7GBKh-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Machine Learning" ] } ], "news": [], "launches": [ { "id": 97535, "title": "Maywood - AI for M&A", "tagline": "The platform to run your entire deal", "body": "Hi Everyone! \n\nWe’re **Drake, Kent, and Esteban**, co-founders of [**Maywood**](https://maywoodai.com/). \n\n# **TL;DR** \n\n**Maywood automates deal execution for investment banks, from decks to diligence.**\n\nBanks do not lose deals because of bad judgment. They lose time to repetitive work, fragmented information, and processes that do not scale with deal volume. \n\nMaywood removes execution bottlenecks so that deal teams can focus on judgment rather than mechanics. \n\n \n\n[**https://youtu.be/OCgXCora2OQ**](https://youtu.be/OCgXCora2OQ) \n\n# **The M&A Process Doesn’t Scale** \n\nThere was $5 trillion of M&A in 2025, yet M&A workflow spans dozens of fragmented systems. Deal teams spend an extraordinary amount of time reconciling updates across platforms, copying figures from client materials, and reviewing large decks line by line to ensure accuracy and consistency. As teams increase transaction volume, they are forced to trade off speed with quality. The more deals a team runs, the harder it becomes to maintain a consistently high standard of execution. \n\nExecution, in practice, does not scale cleanly. We see this across middle-market and large investment banks. Teams rely on increasingly manual oversight to keep processes on track, with senior bankers spending time reviewing mechanics rather than focusing on judgment, positioning, and client advice. \n\nWe believe the best deal teams should win based on the insight and guidance they deliver to clients, not on their ability to manage PowerPoint and internal coordination at scale. \n\n \n\n# **Maywood Expedites Execution and Elevates Quality** \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/7e11d106-ad35-4d3f-b52a-8969cdadf936)\n\nMaywood is building an AI execution layer for investment banking. Our goal extends much further than producing decks at the push of a button and instead centers around unlocking deal teams to focus on their relationships with clients and maximizing outcomes. \n\n### **1. We do the Foundational Analysis** \n\nMaywood provides a thorough research process covering the company, industry, deal dynamics, and more. Instead of analysts and associates spending days pulling comparables, industry context, and buyer rationales or managing directors (MDs) prepping endlessly for their next call with the management team, our system handles the entire process natively. This enables Maywood to optimally position each company being sold, in some cases replacing an MD’s original thesis altogether. \n\n### **2. Our Materials Can be Sent Directly to Clients** \n\nMaywood analyzes past confidential information memorandums (CIMs) and pitches to extrapolate firm-specific language and formatting standards. We run models that determine what has led to success in the past and emulate that in current deals, all while being in an isolated system. Some MDs forward materials directly generated on Maywood, while others use it to draft first-pass materials and iterate quicker using natural language to make slide mutations. \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/86433f7d-2dfb-4678-a235-18b429c7690a)\n\nMaywood also transforms the due diligence portion of the process, where buyers ask countless questions about the transaction. Maywood surfaces answers immediately and flags missing information along with key risks to ensure deal teams are fully equipped.  \n\n![uploaded image](/media/?type=post&id=97535&key=user_uploads/2969341/9910819f-a237-47f5-8465-6421fad16989)\n\n### **3. We Deliver Everything via a Single Platform** \n\nEverything is connected. The analysis feeds into decks and the due diligence module. Data updates propagate throughout the entire system automatically. Every feature works as a function of this continuously updating data layer, from first document uploaded to close. \n\n \n\n# **Who This is For** \n\nWe are focused on middle-market and large investment banks running multiple sell-side processes per year and teams that care deeply about quality, consistency, and speed. \n\nWe are already working with several banks and are seeing strong results! \n\n \n\n# **Our Ask**  \n\nIf you are, or know, any of the following, we would love to talk: \n\n* Investment bankers thinking seriously about how AI fits into execution \n\n\n* COOs, heads of operations, or tech leaders at banks evaluating productivity tools \n\n\n* Former bankers with strong opinions about what actually matters in sell-side execution \n\nYou can reach us at [**founders@maywoodai.com**](mailto:founders@maywoodai.com). \n\nIf you know anyone thinking about selling their company, we are happy to help out as well! We have a lot of banking connections to help you navigate this process and get the best outcome possible. \n\n \n\n# **Team** \n\n**Drake** leads product, strategy, and go-to-market. He saw the significant shortcomings and breakdowns of the deal process firsthand while working on some of the largest deals in the industry. He previously worked in private equity at Blackstone, where he helped roll out AI initiatives. He graduated Summa Cum Laude from the Huntsman Program at Wharton. \n\n**Kent** leads AI and go-to-market. He always loved doing analyst work first manually and then automating it end-to-end right after. That mindset led him to MIT, where he conducted deep research in neural stylistic transfer. Wanting to do this at scale, Kent went to BCG to automate work at Fortune 500 companies. When he heard deals take 6-9 months end to end when the manual work could be shortened to weeks, he founded Maywood to transform the industry. \n\n**Esteban** leads AI and infrastructure. He saw how much AI could transform a financial organization during his time in the hedge fund space at Balyasny. With a strong research background in AI and machine learning, he joined Kent and Drake in founding Maywood to bring those same transformations to dealmaking.  ", "url": "https://www.ycombinator.com/launches/PN9-maywood-ai-for-m-a", "votes": 31, "created_at": "2026-02-05T17:30:24.158Z" } ] }, { "id": 31189, "name": "Revion", "slug": "revion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84522703b8ea76ce25606b2150693133260bc1a1.png", "website": "https://revion.inc", "all_locations": "New York City, NY, USA", "long_description": "Revion is building the operating system for Automotive Retail. Our first product helps Technicians automate administrative work, which drains 30-40% of their day. With Revion, Auto Retailers can service more vehicles and drive more high-margin Revenue. ", "one_liner": "Intelligence for Automotive Operations", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771887263, "tags": [ "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/revion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/revion.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getrevion", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84522703b8ea76ce25606b2150693133260bc1a1.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": 3201704, "full_name": "Zaki GW", "title": "Founder/CEO", "founder_bio": "Zaki is the Co-Founder and CEO of Revion. Prior to Revion, Zaki worked in GTM at Multiverse (backed by General Catalyst, Index etc.) and Investment Banking at Morgan Stanley and Citi. Zaki graduated from the London School of Economics with 1st Class Honours. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zaki-gw-63838014b/", "x_url": "https://x.com/ZakiGWLondon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0845e3dbe145b95c8ee1b50f14c77ef1c974d7b0.jpg" }, { "user_id": 1123224, "full_name": "Hanbo Xie", "title": "Founder/CTO", "founder_bio": "Hanbo is the CTO and Co-Founder of Revion. He joined Terra (backed by YC, General Catalyst etc.) as an engineer at 18. During that time, he went on to graduate with First Class Honours from Imperial College London on a scholarship, where he also conducted research with IBM. Just before Revion, he traded flow derivatives at Goldman Sachs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hanbo-xie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f4ea5f7e71d57eff7eb2d742e9dad5b88e8309e.jpg" } ], "jobs": [ { "id": 92494, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/revion/jobs/1z9Zy5a-founding-forward-deployed-engineer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.01% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [] }, { "id": 31191, "name": "Traverse", "slug": "traverse", "former_names": [ "Clice AI", "Clice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35a08dba94f5c7c4efe9e2c566eb21cc8f85b0e1.png", "website": "https://www.traverse.so", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Custom models and inference, built and run for enterprises", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1767260558, "tags": [ "Machine Learning", "Reinforcement Learning", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/traverse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/traverse.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/traverse-so/", "x_url": "https://x.com/traverseso", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35a08dba94f5c7c4efe9e2c566eb21cc8f85b0e1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2775848, "full_name": "Lance Yan", "title": "Founder/CEO", "founder_bio": "Seeking truth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lance-yan/", "x_url": "https://x.com/lanceyyan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19d6b3aa8f7c40b89a2db639a278aa326cc3a1f5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98535, "title": "Traverse - Data Research for the Non-Verifiable", "tagline": "We give AI labs the training data that enables their frontier models to acquire taste", "body": "**TLDR:** Traverse is a data research lab focused on the hardest unsolved problem in frontier model training: **ambiguous, taste-dependent work**. \n\nWe capture real human behavior in highly controlled settings and turn judgment, taste, and long-horizon reasoning into high-fidelity environments for frontier models.\n\n\n\n**The Problem**\n\nReinforcement learning has already helped frontier models achieve superhuman ability in math and coding since these domains have very clean and deterministic feedback loops. \n\nHowever, the next frontier domains (law, healthcare, sales, writing, etc) aren’t as black and white. Current approaches fail to accurately represent subjective scenarios, despite these domains being where most of the economic value is.\n\n**The Solution**\n\nWe are building data factories to create high fidelity real life work environments at scale.\n\nTraverse captures what people actually think while doing their work; we are pioneering a new category of training data that is yet to exist.\\\n\\\n**If you’d like to understand the details, reach us at**\\\n[lance@traverse.so](mailto:lance@traverse.so)\\\n\n\n![uploaded image](/media/?type=post&id=98535&key=user_uploads/2775848/4586ce6d-bd41-40af-9be6-586ab6226d02)\n\n", "url": "https://www.ycombinator.com/launches/PdH-traverse-data-research-for-the-non-verifiable", "votes": 41, "created_at": "2026-03-06T16:12:51.971Z" } ] }, { "id": 31192, "name": "Approxima", "slug": "approxima", "former_names": [ "Sidekit", "SideKit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6e6d183a6369dfc8a86aad778e45ad07d16406f.png", "website": "https://approxima.ai", "all_locations": "Toronto, ON, Canada", "long_description": "Human-assisted development should be for novel ideation, not routine maintenance, bug fixes or incremental updates. Approxima is bringing you that future with agents that can scope work, code, validate their fixes end-to-end in sandbox environments and merge to production. Book a demo: https://calendly.com/ashish-selvaraj/approxima", "one_liner": "Your software should build itself.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767593677, "tags": [ "Enterprise Software", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "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/approxima", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/approxima.json", "year_founded": 2025, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/approximai/", "x_url": "https://x.com/approximai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/appsidekit/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e6e6d183a6369dfc8a86aad778e45ad07d16406f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 3229135, "full_name": "Ethan Pronev", "title": "Founder", "founder_bio": "Co-founder at Approxima, building the trust layer to help software development scale with AI. Previously worked on trading systems at Jane Street and Citadel Securities. Computer Science graduate from the University of Waterloo, class of 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-pronev/", "x_url": "https://x.com/ethanpronev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc2e0a901422a1951b677c9ae1edbf7f9d8b954a.jpg" }, { "user_id": 2960509, "full_name": "Ashish Selvaraj", "title": "Founder", "founder_bio": "Co-founder at Approxima, building the trust layer to help software development scale with AI. Previously worked on delta live tables at Databricks, an infra testing engine at Microsoft and graduated with a double degree in Computer Science and Business from Waterloo in 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ashish-selvaraj/", "x_url": "https://x.com/asheeeeeshh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b55ae2511335d9eef1ee99bbf880a8b7585339e1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31194, "name": "Valence", "slug": "valence", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/355e8c5b3746af19fb0b6ef6149b2028474fbf0a.png", "website": "https://valence.trade", "all_locations": "San Francisco, CA, USA", "long_description": "Valence is a unified trading platform for prediction markets. We provide infrastructure to aggregate and execute contracts across Kalshi, Polymarket, and other platforms, surface arbitrage and mispricing opportunities in real time, and give systematic traders the API and backtesting tools they need to build and execute data-driven strategies on anything.", "one_liner": "Unified prediction markets trading platform", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1772497537, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "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/valence", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/valence.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/ValenceTrade", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/355e8c5b3746af19fb0b6ef6149b2028474fbf0a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1419388, "full_name": "Neo Wang", "title": "Founder", "founder_bio": "Sports Enthusiast", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nwatx/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5850dd38cc0e2b32423946ef504e10bd0c6e3b01.jpg" }, { "user_id": 2566102, "full_name": "Daniel Kasabov-Nouvion", "title": "Founder", "founder_bio": "LoL Grinder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-kasabov-nouvion-a717931a8/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/333ad2b4134d2793ed10494315b4cf017e1d589e.jpg" }, { "user_id": 3207929, "full_name": "Arthur Zhou", "title": "Founder", "founder_bio": "setwithfriends enjoyer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arthurzhou", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f1b0e49ab1cb4bd83d57867e6aa48531e59b0234.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98484, "title": "Valence: Unified prediction markets trading platform", "tagline": "Trade across every prediction market using one interface and API", "body": "# Valence - The Trading Superapp for Prediction Markets 📈\n\nTrade across every prediction market from one interface\n\n**Neo, Daniel, Arthur**\n\n[Valence](https://valence.trade/)\n\n---\n\nHey YC! We're **Neo**, **Daniel**, and **Arthur** from Valence and we're building the trading superapp for prediction markets. We sit across all the exchanges and provide customizable trading terminals, APIs, data, and execution. Our software works for both individuals and teams.\n\n**Over 1B contracts have been traded through our platform.**\n\n🔗 [valence.trade](http://valence.trade)\n\n**Ask:** Building or trading in prediction markets? We'd love to hear from you: [**founders@valence.trade**](mailto:founders@valence.trade)\n\n---\n\n# TL;DR\n\nValence is one interface for every prediction market. Trade across Kalshi, Polymarket, and [**Crypto.com**](http://Crypto.com) with one unified orderbook. Monitor P&L, risk, balances, and positions across all exchanges in one spot. Use our API to write strategies that integrate with our global interface.\n\n---\n\n# Problem ❌\n\n**Fragmented liquidity:** With more exchanges appearing faster than ever, liquidity becomes more scattered. This creates market inefficiencies for traders. With variable fee structures, rules, and settlement risks across multiple markets, execution becomes less about \"what is correct\" and more about managing multiple interfaces, inconsistent risks, and higher time-to-trade.\n\n**Underdeveloped tooling:** Most exchanges are not focused on providing great trading infrastructure, since most users are retail-focused. This creates a major barrier for serious traders and teams trying to enter or scale in the space. Valence fills this gap — we provide the trading terminals, APIs, and execution infrastructure that the exchanges themselves don't. Instead of building the same connectors and infrastructure for every exchange, traders can execute across all platforms with one click and focus on what actually matters: trading.\n\n**No unified data layer:** There is a lack of fundamental things like data and matching identical markets across multiple platforms. With Valence's API and verification process, traders can determine which tickers are the same, and use one API to access every platform, backtest, and run in production. With full access to historical data and proprietary datasets, Valence already powers the very highest volume traders on some of these exchanges.\n\n---\n\n# Solution ✅\n\nThe setup process to trade across dif\n\nferent exchanges is annoying, and oftentimes traders find themselves writing the same infrastructure. Valence offers a web-based terminal and APIs to provide a frictionless experience to trade across infinite exchanges, with unified views. We support both systematic and manual trading — also at the same time.\n\n**Valence Terminal**\n\n* Unified orderbook across all exchanges — see every venue in one view\n* Smart routing to get you the cheapest contracts across all venues\n* Live monitoring of all P&L, risk, balances, and positions\n* Fast click-trading with built-in data feeds\n* Automated trading assistance — detect potentially harmful situations and cancel orders\n\n ![uploaded image](/media/?type=post&id=98484&key=user_uploads/1419388/9bfacd69-145c-4b93-b11a-f81471653366)\n\n\n**Valence API for Developers**\n\n* Connect once, trade everywhere — one standardized API across every exchange\n* Cross-platform ticker matching so you always know when two exchanges list the same market\n* Full historical data and proprietary datasets for backtesting\n* Build and deploy your own strategies with template engines and custom services\n\n![uploaded image](/media/?type=post&id=98484&key=user_uploads/1419388/e8f60f0e-b2ac-4607-ac50-39b68530306b)\n\n**Discovery**\n\n* Find opportunities across platforms you might not even be watching\n* Access proprietary datasets across sports, politics, and more\n\n![uploaded image](/media/?type=post&id=98484&key=user_uploads/1419388/7366a047-e13e-45ea-a43f-e860b1da1f3b)\n\n---\n\n# Traction 📊\n\nOver **1B contracts** traded through our platform. We grew from 7M contracts in September to 250M in December 2025 — nearly **30× in four months**.\n\nProminent traders (top 3) on the Kalshi public leaderboard uses Valence, trading over 100M contracts a month on our platform. We've helped another team **scale their P&L by 5×** simply by enabling them to take more trades and source more liquidity.\n\nOur users consistently see **200%+ month-over-month volume/profit growth** after switching to Valence.\n\n---\n\n# Who This Is For 💬\n\n**Active prediction market traders** — You're tired of juggling tabs across Kalshi, Polymarket, and other exchanges. You want one place to see everything and execute everywhere.\n\n**Systematic / algo traders** — You're building strategies and need a reliable API that works across every exchange without writing separate connectors for each one.\n\n**Trading teams** — You want a shared interface where your team can collaborate, monitor positions, and trade together.\n\n**Curious about prediction markets** — You've been interested but the fragmented UX and lack of tooling has kept you out. Valence makes it easy to get started.\n\nIf any of this is you, reach out: [**founders@valence.trade**](mailto:founders@valence.trade)\n\n---\n\n# Team 🧑‍💻\n\n**Neo** previously interned at Citadel Securities as a quantitative developer, and also at DRW and Cubist Systematic Strategies on strategy and research efforts. Neo was also a former director of the USACO Guide (\\~100K users, 1700+ GitHub stars).\n\n**Arthur** interned twice at Jane Street as a trading intern, working on research projects involving monetization improvements. He represented the United States at international Bridge competitions and qualified for USAMO (top 250) and was a USACO Platinum Competitor. He can also get over 180 in Zetamac!\n\n**Daniel** interned at IMC Trading and Citadel in both hardware and software engineering, and at ARM on systems research. He designed an ethernet MAC that outperforms IEEE specifications and contributed to the CXL specification at ARM.\n\n---\n\n**Try Valence → [valence.trade](http://valence.trade)**\n\n---", "url": "https://www.ycombinator.com/launches/PcS-valence-unified-prediction-markets-trading-platform", "votes": 12, "created_at": "2026-03-05T01:31:55.007Z" } ] }, { "id": 31195, "name": "Reframe", "slug": "usereframe", "former_names": [ "Milotic AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf91d138b76358671fb6075cfe46848aa81bd6cc.png", "website": "http://usereframe.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Reframe is the only AI-native marketplace for hardware teams to procure both COTS and custom manufactured components. We have access to trusted suppliers that have made parts for the most reliable hardware products that people use today (iPhones, Teslas, and more). We use Agents to automate end-to-end procurement so that hardware teams can scale while remaining lean.", "one_liner": "AI-native, hardware procurement marketplace", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1770935313, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/usereframe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/usereframe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usereframe", "x_url": "https://x.com/usereframe", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cf91d138b76358671fb6075cfe46848aa81bd6cc.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": 2629859, "full_name": "Bryan Zin", "title": "Founder", "founder_bio": "Founder at Reframe, prev. Product Design Engineer at Apple (iPhone PD)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryan-zin", "x_url": "https://x.com/bryanzin7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/67b76c1de36cbf0c39d413989a6cb749f939e379.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97967, "title": "Reframe: Automate end-to-end hardware procurement", "tagline": "Designing parts is an engineer's job, procurement is ours.", "body": "tl;dr: One of the most manual parts of the hardware supply chain is procurement logistics. [Reframe](http://usereframe.ai/) makes getting your components painless and automated, exactly how it should be. Instead of spending precious engineering time manually tracking down parts or figuring out build schedules, Reframe takes over **end-to-end procurement** so **hardware teams can stay lean**. We coordinate with your vendors to automatically order your components, resolve any delays or component shortages, and ensure that your parts arrive on time. [Book a call](https://cal.com/bryan-zin/reframe-demo) with us to start **automating procurement** today.\n\n[Launch Video](https://youtu.be/ArVtij87hJA)\n\n👋 Hey everyone, [Eric](https://www.linkedin.com/in/eric-wiener/) and [Bryan](https://www.linkedin.com/in/bryan-zin/) are from Reframe (W26) and we’re bringing automation to the hardware supply chain.\n\nSpecifically, we’re starting with procurement. Designing components is just half the battle when it comes to making physical products. After an engineer finishes designing the parts, they then have to figure out the right people to source their parts and navigate through the logistics of payment, shipping, and delivery.\n\nRight now, most procurement teams at large enterprises, medium stage companies, and early start-ups are still using _emails, spreadsheets, and WeChat_ to manage billions of dollars of components that need to be shipped from all over the world. It’s an archaic process that is unfortunately part of either a start-up engineer’s job or costs a full-time role at larger companies. \n\nOur solution automates away all of the tedious work behind getting your parts delivered on time. We take your BOM as input, and track down each part in their individual supply chain, from the raw material vendor all the way to the assembly line. Whether it’s as simple as placing an Amazon order, or coordinating with an overseas manufacturer to fabricate parts and ship them across the world, our AI agents handle all the communication, coordination, and logistics. \n\nWhen parts are delayed, or when specs change, the Reframe Assistant dynamically update the BOM and build plans to provide clarity and transparency between different teams. When there is a part change that creates conflict between teams, Reframe creates a group chat between the relevant stakeholders and provides them with context to make fast decisions. \n\nOur native integration with Slack ensures that Reframe exists where you are. Simply tag the Reframe Assistant in the relevant thread or channel, and it will answer questions about your parts without you having to go through giant spreadsheets or emails. \n\n📞 [Book a call](https://cal.com/bryan-zin/reframe-demo) with us so we can **automate procurement** and you can keep shipping great products.", "url": "https://www.ycombinator.com/launches/PU7-reframe-automate-end-to-end-hardware-procurement", "votes": 9, "created_at": "2026-02-19T16:55:51.716Z" } ] }, { "id": 31196, "name": "Congruent", "slug": "congruent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7c888706d93f04e768a791ada75bb06e4605041.png", "website": "https://congruent.io", "all_locations": "San Francisco, CA, USA", "long_description": "At Congruent, we build radars for end-to-end autonomous systems. The most advanced autonomous systems are trained as a single neural network from raw sensor data to navigation actions. For a sensor to be included in these pipelines sensor stacks requires two key properties: access to raw sensor data and a high-fidelity sensor simulator. Current automotive radars have neither, they output heavily processed point clouds and no raw radar simulator exists for driving scenes. Congruent solves both problems: a radar architecture that exposes raw data, paired with a world model based radar simulator. Radar is the only depth sensor at a price point that scales to every car on the road and works in all weather conditions. Congruent is building the radar compatible with the training architectures that will make mass-market vehicles autonomous.", "one_liner": "AI native radars for self-driving cars", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1771538111, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/congruent", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/congruent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/congruent-sensing/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7c888706d93f04e768a791ada75bb06e4605041.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": 1953552, "full_name": "Clement Barthes", "title": "Founder/CEO", "founder_bio": "ex-head of autonomy at Zendar\nex-CTO at Safehub, making smart sensors to evaluate building damage after earthquakes\nex-Research Engineer and Lab Manager at UC Berkeley - PEER lab", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clement-barthes-44470a10b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd43a7f8be63e763107dc19e4356ce099ccb5aaa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98073, "title": "Radars for end-to-end autonomy", "tagline": "The radar to unlock mass-market self-driving cars", "body": "**TL;DR:** Everyone wants an autonomous car, but today they are cost prohibitive because they rely on multiple lidars. The answer is radar, it's tens of dollars, already in most cars, and works in all weather. The problem: no one has built a radar compatible with end-to-end training, which is how all modern autonomous vehicles learn to drive. We built the radar hardware and radar simulator to change that.\n\n\n\nToday, a robotaxi costs hundreds of thousands of dollars, largely because it relies on lidar, an expensive sensor that works but doesn't scale. **Radar costs tens of dollars per unit, is already in 90% of US cars**, and works in rain, snow, fog, and dust where lidar and cameras degrade. The problem is that no one has built a radar that is compatible with how autonomous vehicles are actually trained.\n\n**The state of the art in autonomy is end-to-end training:** a single neural network learns driving actions directly from raw sensor data. Inclusion in end-to-end training requires two things from each sensor: access to raw data and a high-fidelity simulator. Cameras have both. Lidars have both. Radars have neither. Every automotive radar on the market throws away over 99% of the raw data before the model sees it, and no existing world model is able to simulate radar data.\n\n**Self-driving requires multi-sensor redundancy** and depth sensing that cameras alone cannot provide, but camera-radar fusion can. An OEM that adopts Congruent's radar can train a single end-to-end system on several cameras and radars together, reaching full self-driving, at a sensor cost low enough to ship in every vehicle they make.\n\nWe are Clement Barthes and Evan Carnahan, two PhDs who met as research engineers building radar perception pipelines for autonomous vehicles. Clement earned his doctorate in Structural Mechanics from UC Berkeley and developed advanced sensor systems for automotive and structural health monitoring applications. Evan earned his doctorate from UT-Austin, where he built physics-learned models for multi-sensor satellite data. We launched Congruent because we kept running into the same wall: **radar has the physics to enable mass-market autonomy, but no one was building the hardware and simulation tools to make it usable in modern training architectures… until now**.\n\n**If you are at an OEM, tier-one supplier, or AV company working on sensor architecture or end-to-end training, let’s get in touch ! [info@congruent.io](mailto:info@congruent.io)**\n\n![uploaded image](/media/?type=post&id=98073&key=user_uploads/1953552/87d983de-4b46-4ea3-ad8a-44bedfb39325)\n\n", "url": "https://www.ycombinator.com/launches/PVp-radars-for-end-to-end-autonomy", "votes": 7, "created_at": "2026-02-23T08:45:40.368Z" } ] }, { "id": 31197, "name": "InventoryQuant", "slug": "inventoryquant", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f74c63aa46c6a7b210639069202e83296edae78d.png", "website": "https://www.inventoryquant.com", "all_locations": "San Francisco, CA, USA", "long_description": "We automate inventory and contents processing for insurance and insurance-adjacent industries, including public adjusters, restoration contents, and insurance companies. We also handle various inventory and estimate adjacent processes that cost many billions of dollars a year and thousands of years of man hours.", "one_liner": "We automate the inventory process in insurance", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774477383, "tags": [ "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inventoryquant", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/inventoryquant.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111824156/admin/dashboard/", "x_url": "https://x.com/InventoryQuant", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f74c63aa46c6a7b210639069202e83296edae78d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2698080, "full_name": "Sander Schulhoff", "title": "Founder/CEO", "founder_bio": "Hi, I'm Sander Schulhoff —\nI'm an award-winning AI researcher, entrepreneur, and part-time botanist 🌱\n\n👉 I wrote the first guide on prompt engineering (LearnPrompting.org), ran the first ever GenAI red-teaming competition (HackAPrompt), and I'm currently building InventoryQuant.com 🚀", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sander-schulhoff/", "x_url": "https://x.com/SanderSchulhoff", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e436889b5aa1fa67c7369bed4259e9748d71c362.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31199, "name": "Emdash", "slug": "emdash", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65f0b89667ff290bb9620bcc2fa2d4c1e952c051.png", "website": "https://emdash.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agent-first development environment. Emdash enables engineering teams to develop software faster, by running multiple coding agents in parallel. We're an open-source and provider-agnostic desktop application.", "one_liner": "Agentic Development Environment", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1770661748, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/emdash", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/emdash.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/in/emdash-com", "x_url": "https://x.com/emdashcom", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65f0b89667ff290bb9620bcc2fa2d4c1e952c051.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1755188, "full_name": "Raban von Spiegel", "title": "Founder/CEO", "founder_bio": "orchestrating agents @ Emdash. Stanford Engineer. Previously founded Soff (YC S24). Research on software performance engineering at MIT CSAIL.", "is_active": true, "linkedin_url": "https://linkedin.com/in/raban", "x_url": "https://x.com/rabanspiegel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a2738613491f1a14c96ad928bc61d32d0983d89.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97799, "title": "Emdash - Open-source Agentic Development Environment (ADE)", "tagline": "Run multiple coding agents in parallel.", "body": "Hey YC! 👋 We’re Arne and Raban the we’re building [Emdash](https://emdash.sh). An [open-source](http://github.com/generalaction/emdash) desktop app that lets you work with multiple coding agents at once. We’re calling it an Agentic Development Environment (ADE).\n\n\n\n💬 **Problem**\\\nEvery time we used a coding agent, we'd start a task and ... wait. We tried running multiple agents on the same repo and ended up with branch chaos and merge conflicts. When a new model dropped – Opus, Codex, Gemini flash, Kimi, whatever – we had no clean way to test it against our current setup on the same task. We were bouncing between terminals, GitHub, and our IDE.\\\n\\\n⏩ **Solution**\n\n![uploaded image](/media/?type=post&id=97799&key=user_uploads/1755188/dd08968b-2b60-4a85-b998-e8cc9d017dfc)\n\nEmdash is an environment for agentic development that lets you run multiple agents side-by-side safely, review what each one did in one place, and create a PR when it looks right.\n\n🔍 **How it works**\n\n* Start a task → Emdash spins up a new git worktree so nothing touches your main directory\n* Choose any agent, out of 20+ providers(incl. Claude Code, Codex, Gemini)\n* Run multiple agents at once without conflicts\n* Compare diffs, make quick manual edits if needed, and create a PR\n\n🧰 **What’s included**\n\n* Worktree isolation per agent\n* Issue handoff from Linear / Jira / GitHub\n* One place to review diffs and ship PRs\n* Lifecycle scripts + CI/CD hooks\n* Best-of-N comparisons\n* Integrated file editor + browser preview\n* Remote project access via SSH\n\nWe natively embed \\~20 agent providers (including Claude Code, Codex, Continue, and Codebuff), so you can use the latest models inside the same workflow.\n\nTo get started run `brew install –cask emdash`or download directly from[ GitHub releases](https://github.com/generalaction/emdash/releases). We’re available on macOS and Linux.\n\n**🙏 Our Asks**\n\n1. Try [Emdash](https://emdash.sh/) - it’s free and open-source\n2. Give us a star on [GitHub](http://github.com/generalaction/emdash) **🌟**\n\nQuestions or feedback? Join our [Discord](https://discord.gg/m9APwzK4qd) or email us at [founders@emdash.sh](mailto:founders@emdash.sh)\n\n— Arne & Raban\n\n![uploaded image](/media/?type=post&id=97799&key=user_uploads/1755188/b2b6adc8-60e6-4701-9643-fa622c4a5e96)\n\n", "url": "https://www.ycombinator.com/launches/PRP-emdash-open-source-agentic-development-environment-ade", "votes": 23, "created_at": "2026-02-14T18:48:17.293Z" } ] }, { "id": 31200, "name": "Ressl AI", "slug": "ressl-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/186bc6483be3828abcf998b9a4ffedbef27ecfed.png", "website": "https://ressl.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Ressl AI helps teams bridge the gap from prototype to production by providing the platform needed to train, benchmark, and deploy autonomous agents that actually work in real-world business systems.", "one_liner": "Train, eval and build autonomous agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1765975223, "tags": [ "B2B", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ressl-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ressl-ai.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/ressl-ai", "x_url": "https://x.com/resslai", "fb_url": null, "cb_url": "Ressl AI", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/186bc6483be3828abcf998b9a4ffedbef27ecfed.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1012417, "full_name": "Arushi Gandhi", "title": "Founder/CEO", "founder_bio": "Co-founder at Ressl AI | prev-Google Scholar | ex-MSFT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arushi-gandhi/", "x_url": "https://x.com/arushi_ressl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d3b66bae4137978dbdaa7441ab9b5bd9098b977.jpg" }, { "user_id": 856975, "full_name": "Abhishek E", "title": "Founder/CTO", "founder_bio": "Co-founder at Ressl AI | IIT Bombay", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhishek-e-b436231a4/", "x_url": "https://x.com/AbhishekEswaran", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/622c7b3aec20df4a3a19448ba18434b3226ba0c8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31201, "name": "Robby", "slug": "robby", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19d0e4c250082b6d92fda2c96cf3af7a535c03a5.png", "website": "https://tryrobby.com", "all_locations": "New York City, NY, USA", "long_description": "Robby is an AI growth engine for home services businesses that uncovers revenue opportunities and collects additional data from every technician visit. Our AI combines customer and third party data to generate dozens of new leads every day, and then arms the technicians with talking points to increase close rates, giving GMs a single command center to manage and drive revenue. We have several paying customers that are each uncovering 6 figures in additional revenue opportunities every week. On our first day of launch, we helped close $40k in new business within an hour.\r\n\r\nOur team has spent the last few months riding along with dozens of technicians and shadowing every position in the office to best understand the industry. We're also studying for the EPA 608 exam to become certified technicians ourselves.\r\n\r\nVineet and Feroze have both built critical products and infra at prominent startups (Ironclad, Porter, Affinity, Uber, Cloud Health Systems). Joe previously consulted PE firms on software acquisitions and led home services growth projects at Bain. We all met at Harvard Business School, and dropped out to work on Robby full-time.", "one_liner": "AI agents that grow revenue for home services businesses", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1770411161, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/robby", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/robby.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryrobby/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/19d0e4c250082b6d92fda2c96cf3af7a535c03a5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 642838, "full_name": "Vineet Jammalamadaka", "title": "Founder/CEO", "founder_bio": "Founder at Robby. Previously a Senior Engineer at Affinity and Founding Engineer at Cloud Health Systems (founded by Apoorva Mehta, Instacart).\n\nStudied Computer Science at the University of Michigan and graduated with honors. Dropped out of the MS/MBA dual degree at Harvard Business School to work on Robby.", "is_active": true, "linkedin_url": "https://linkedin.com/in/vineetj23", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/278b9e03c58d08473a9029f4a1f5c993033d11f1.jpg" }, { "user_id": 848959, "full_name": "Feroze Mohideen", "title": "Founder/CTO", "founder_bio": "Founder at Robby. Previously founding engineer at Porter (S20) and SWE at Ironclad (S15).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/feroze-mohideen/", "x_url": "https://x.com/FerozeMohideen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/609f7bb3c6b57717e3423d62b11d2f0b63d4f7a9.jpg" }, { "user_id": 2892299, "full_name": "Joseph Schwarzmann", "title": "Founder/COO", "founder_bio": "Founder at Robby. Previously Consultant in PE software and home services transformation/strategy @ Bain & Company.\n\nStudied History at the University of Cambridge. Dropped out of MBA at Harvard Business School to work on Robby.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-schwarzmann/", "x_url": "https://x.com/JoeSchwarzmann", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23ba8eed3147ca5989ea4e7dd9d76dae259fc9cd.jpg" } ], "jobs": [ { "id": 102611, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/robby/jobs/tpzTfLy-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 97709, "title": "Robby - Agentic revenue growth for home services businesses 💸📈", "tagline": "Turning every technician visit into additional revenue.", "body": "**TL;DR:** Robby is a growth platform that converts every technician visit into revenue. We combine third-party and customer data to uncover high-intent leads and prepare technicians with talking points that increase sales rates. Early customers are seeing 6 figures in opportunities every week with Robby.\n\n**Ask:** If you know any owners or GMs at home services businesses, please introduce us! [founders@tryrobby.com](mailto:founders@tryrobby.com)\n\n**Problem**\n\nHome services businesses generate enormous amounts of valuable data every day, but most of it never turns into revenue. Technicians are in customers’ homes constantly, observing aging equipment, safety issues, and upgrade needs. (For example, they might be called to service a furnace and won’t notice the 20 year old boiler next to it.) That information is often: \n\n* Captured inconsistently (or not at all)\n* Hard to operationalize across a team\n* Invisible to owners and GMs until it’s too late\n\nThe result: high-intent opportunities are missed, close rates vary wildly by technician, and leadership lacks a real-time view of revenue potential, **even while demand is already there**.\n\n**Solution**\n\nRobby turns every technician visit into a structured growth opportunity: \n\n* Ingests customer, technician, and third-party data\n* Uses AI to surface dozens of high-intent opportunities each day\n* Equips technicians clear, contextual talking points to guide customer conversations\n* Capture customer insights that would otherwise be lost through lightweight voice AI\n* Provides GMs a single command center to monitor pipeline and drive revenue\n\n \n\nAll without changing how technicians or office teams already work. Today, we have several paying customers who are each uncovering 6 figures in additional revenue opportunities every week. On our first day of launch, Robby helped close **$40k in new business within the first hour.**\n\n**Product Launch**\n\n\n\n**Product Demo**\n\n\n\n**Why we’re building Robby** \n\nBefore building Robby, we spent months embedded in the home services industry. We rode along with dozens of HVAC technicians and shadowed dispatch, CSRs, sales managers, and GMs. We focused on understanding where data breaks down in day-to-day operations, and where real leverage actually exists. \n\nWe’re currently studying for the EPA 608 certification so we can become certified technicians ourselves. We believe the best vertical software starts with deep respect for the work and the people doing it.\n\nOur team brings experience building and scaling products at Ironclad, Porter, Affinity, Uber, and Cloud Health Systems, and advising growth and software acquisitions for PE firms at Bain. We met at Harvard Business School and dropped out to work on Robby full-time.\n\n![uploaded image](/media/?type=post&id=97709&key=user_uploads/642838/5820f754-7949-4ed6-b7eb-ab3d89ed1ecd)\n\n", "url": "https://www.ycombinator.com/launches/PPx-robby-agentic-revenue-growth-for-home-services-businesses", "votes": 93, "created_at": "2026-02-11T21:15:09.235Z" } ] }, { "id": 31203, "name": "Sitefire", "slug": "sitefire", "former_names": [ "pulse", "sitefire", "itefire" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea31f29e253c2635c1eccbc268b7d4d685f8caf6.png", "website": "https://sitefire.ai", "all_locations": "BY, Germany", "long_description": "Sitefire (YC W26) helps brands market their products to agents. They create content and tools that get their products discovered and used by AI agents (ChatGPT, OpenClaw). Sitefire identifies which content drives AI visibility, and automatically creates it. The teams using Sitefire execute on-page and off-page actions to deliver measurable top-line growth.", "one_liner": "Marketing suite for the agentic web", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1770178936, "tags": [ "Analytics", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sitefire", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sitefire.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/gpt-pulse", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea31f29e253c2635c1eccbc268b7d4d685f8caf6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0f944e1c95f2a3a70b8f6244d6738a7e29f1e9bc.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2979444, "full_name": "Jochen Madler", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO, sitefire.ai. Valedictorian of Germany's no. 1 finance program. Deep RL & optimization at Stanford and PhD at Technical University Munich (TUM).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jochen-madler/", "x_url": "https://x.com/jochenmadler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/248b63c639b40291155bb485d9f3022f0bdad768.jpg" }, { "user_id": 2978925, "full_name": "Vincent Jeltsch", "title": "Founder/CTO", "founder_bio": "CTO@sitefire.ai, helping you market your brand to AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vincent-jeltsch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/601742d9017be5cfc272a7cebbc9911f000d723c.jpg" } ], "jobs": [ { "id": 98761, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/sitefire/jobs/P6tu0WO-founding-product-engineer", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€85 - €120 EUR", "equity_range": "0.60% - 2.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "React", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 97707, "title": "sitefire - Marketing suite for the agentic web", "tagline": "Marketing suite for the agentic web", "body": "Hi! We are Jochen and Vincent, co-founders of [sitefire.ai](http://sitefire.ai)! 🔥\n\n**TL;DR:** Unlike other GEO tools, sitefire actually tells you how to improve your AI visibility. It recommends actions, and takes them for you. We are already working with Europe’s largest brands such as BMW, Xtrackers, and DWS.\n\n\n\n### What we are building\n\nUnlike other GEO tools, **sitefire actually tells you how to improve your AI visibility**. sitefire analyzes AI answers (query fan-out, sourced pages, cited pages) to identify which content works. Based on this, sitefire tells you which third-party sites to reach out to and which UGC content (Youtube, Reddit, etc.) to engage with.\n\nSecond, sitefire synthesizes the **top-cited web pages** and **writes brand-aware, AI-optimized blog posts for you** **- directly delivered to your CMS**. You just publish, improve your AI visibility, and start winning leads.\n\n![uploaded image](/media/?type=post&id=97707&key=user_uploads/2979444/a9370216-c966-424c-b98b-f93707e7a04e)\n\n### The Team\n\nVincent and Jochen met at Technical University of Munich (TUM). Vincent founded his first company at 18, and studied at CDTM (study program producing 20% of German unicorns). Jochen is a valedictorian of Germany’s no. 1 finance program, worked on optimization/deep RL at Stanford and as a PhD Candidate at TUM. We’re excited to bring cutting-edge data science to marketing teams!\n\n![uploaded image](/media/?type=post&id=97707&key=user_uploads/2979444/5f3cdf2b-ea74-4b34-9219-c1bfa08dc5bf)\n\n### Our Ask\n\n1. **Introductions:** Do you know **marketing/growth teams at Series A+ companies** that need a GEO tool to actually take action? We’d love to hear from you!\n2. **Try it 🔥** : **7-day free trial at [sitefire.ai](http://sitefire.ai).** Set up your account in 5min, and get your first AI-optimized content briefing!\n3. **Feedback:** Tell us what you think about our website, product, UX, etc.", "url": "https://www.ycombinator.com/launches/PPv-sitefire-marketing-suite-for-the-agentic-web", "votes": 16, "created_at": "2026-02-11T17:23:18.665Z" } ] }, { "id": 31204, "name": "Forum", "slug": "forum", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d74562fedba22811a7ce25c1922d244abfba883.png", "website": "https://www.forum.market/", "all_locations": "New York City, NY, USA", "long_description": "Forum is building the first exchange to trade on cultural attention.\r\n\r\nWe create indices from search, social, and streaming data to measure what the world cares about, enabling users to go long or short on changes in relevance.\r\n\r\nAttention is the primary driver of business success in the digital age, but it has never been directly tradable. Forum introduces attention as a new asset class for managing cultural and demand risk.", "one_liner": "The first exchange to trade on attention.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1768809553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forum", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/forum.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/forum-markets-group/", "x_url": "https://x.com/forumdotmarket", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8d74562fedba22811a7ce25c1922d244abfba883.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2579867, "full_name": "Owen Botkin", "title": "Founder/CEO", "founder_bio": "Co-founder of Forum. Prev L/S equities @ Balyasny.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owen-botkin", "x_url": "https://x.com/owenbotkin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a885f5e1a474af62ac143a5c273bc8e594120e2.jpg" }, { "user_id": 2579873, "full_name": "Joseph Thomas", "title": "Founder", "founder_bio": "Co-founder of Forum. Prev SWE @ GEICO, NASA, and DreamwaveAI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-philip-thomas/", "x_url": "https://x.com/josephpthomas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc8b0e6be63c30c68b318277f88512845c1a97d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97926, "title": "Forum - exchange to trade on attention.", "tagline": "Long Claude Code, short Cursor (for real).", "body": "**TL;DR:** We turn virality into tradable markets. \n\nHey! 👋 We’re Owen and Joseph, the founders of Forum. Today, the primary driver of global value is human attention – clicks, views, and shares. We’re making the first exchange to trade it. \n\nAs founders, we debate a lot about the attention on different companies, people, and cultural movements:\n\n* Is Claude Code more popular than Cursor?\n* Is Elon Musk more influential than Sam Altman?\n\nNow, we’re turning the relevance of these topics into tradable positions. I’m personally long Claude Code and short Cursor.\n\n![uploaded image](/media/?type=post&id=97926&key=user_uploads/2579867/0d706da8-4782-4df2-9212-2946dab6b10c)\n\n![uploaded image](/media/?type=post&id=97926&key=user_uploads/2579867/9679ef5a-e7bd-4945-9421-80799ed4a95b)\n\n**How it works:** We create an index that measures engagement (combining search and social metrics), and you bet on whether or not the index will go up or down.\n\nRight now, we’re using fake money (you all get $1,000), but we’re working to bring this to the US with real-money trading soon!\n\n![uploaded image](/media/?type=post&id=97926&key=user_uploads/2579867/54d7ef88-8765-415a-a193-245d48d5507a)\n\n**The team:**\n\n* **Owen (CEO):** Traded long/short equities at Balyasny. Dropped out of Northwestern to help you short your friends' bad opinions.\n* **Joseph (CTO):** SWE at NASA and GEICO. Dropped out of Georgia Tech to build the next NASDAQ.\n\nHappy trading,\\\nOwen & Joseph", "url": "https://www.ycombinator.com/launches/PTS-forum-exchange-to-trade-on-attention", "votes": 32, "created_at": "2026-02-18T04:43:35.558Z" } ] }, { "id": 31205, "name": "Human Archive", "slug": "human-archive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.png", "website": "https://www.humanarchive.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Archive (YC W26) is building the data and deployments infrastructure for physical AI.\r\n\r\nWe design hardware, deploy cameras and sensors globally, and train models that help AI better understand how humans interact with the physical world.\r\n\r\nLeading frontier AI labs trust us for their video, sensor, robot deployment, image, and audio datasets.\r\n\r\nWe have offices in SF, China, and India and are researchers from NYU GRAIL, UPenn GRASP, UC Berkeley, Stanford, Johns Hopkins Robotics, and national robotics champions.\r\n\r\nTo get data, please reach out to raj@humanarchive.ai", "one_liner": "Physical AI data lab", "team_size": 100, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1767518366, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/human-archive", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/human-archive.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/human-archive/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce063ef00a3ec0da3649fb79a819c0e6c1e88ebf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1909062, "full_name": "Raj Patel", "title": "Founder/CEO", "founder_bio": "Archiving the structure of human interaction in the physical world. Berkeley dropout and previous farmer (sold mangoes & planted trees)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raj-patel2004/", "x_url": "https://x.com/babugi28", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efbe62a3550d8642731b0d6840c3f88f14222a95.jpg" }, { "user_id": 1813197, "full_name": "Rushil Agarwal", "title": "Founder", "founder_bio": "Rushil Agarwal is a founder of Human Archive (W26). He studied Industrial Engineering and Operations Research along with Business at UC Berkeley's highly selective MET program (<1% acceptance rate)\n\nHe previously worked on data pipelines for embedding models and on-chain infrastructure at Coinbase. He also scaled a Web 3.0 software business, which served 500+ SMBs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushilagarwal261205/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91b52b708af96b75c25943c4349405c5c1934b08.jpg" }, { "user_id": 1604009, "full_name": "Samay Maini", "title": "Founder", "founder_bio": "Creating multimodal real-world datasets for robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samaymaini/", "x_url": "https://x.com/samay_maini15", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9d035e503f19fffad5407a9b7117bdcf61a3abe.jpg" }, { "user_id": 2067943, "full_name": "Shloke Patel", "title": "Founder", "founder_bio": "Shloke Patel is a founder of Human Archive (W26). He studied Mechanical Engineering and Computer Science at Stanford University, where he focused on robotics, systems engineering, and applied AI, and conducted research at the SHAPE and DEL Labs.\n\nBefore Human Archive, Shloke built and operated agricultural businesses, including a mango venture that sold 16,000+ mangoes and helped plant 100,000+ trees. His background spans robotics, mechanical design, and hardware systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shloke-patel/", "x_url": "https://x.com/shloke_patel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92dfdb11e9a2da111455fe361e1e4ee45c4e202c.jpg" } ], "jobs": [ { "id": 88062, "title": "Operations Manager", "url": "https://www.ycombinator.com/companies/human-archive/jobs/di880ZV-operations-manager", "location": "IN", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹1.5M - ₹3M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88228, "title": "Videographer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/4ZHnJO3-videographer", "location": "IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹1.25M - ₹2.49M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92091, "title": "Mechanical Engineer - Wearable Systems", "url": "https://www.ycombinator.com/companies/human-archive/jobs/ytPKyys-mechanical-engineer-wearable-systems", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92092, "title": "Embedded / Electrical Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/D1LyXYo-embedded-electrical-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "₹2.5M - ₹4M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92093, "title": "Firmware Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/q6l0qYC-firmware-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "₹2.2M - ₹3.5M INR", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92094, "title": "QA / Hardware Test Engineer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/84M0U0h-qa-hardware-test-engineer", "location": "IN", "type": "Full-time", "role": "Engineering", "role_type": "QA engineer", "salary_range": "₹1.8M - ₹3M INR", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92095, "title": "Industrial Designer", "url": "https://www.ycombinator.com/companies/human-archive/jobs/Lb6nrM9-industrial-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$80K - $110K", "equity_range": "0.10% - 0.30%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 92096, "title": "Head of Engineering", "url": "https://www.ycombinator.com/companies/human-archive/jobs/y2x2QPw-head-of-engineering", "location": "San Francisco, CA, US / IN", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$140K - $210K", "equity_range": "0.25% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "This startup is betting India's gig economy can train the world's robots | TechCrunch", "url": "https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/", "date": "May 26, 2026" } ], "launches": [ { "id": 98605, "title": "Human Archive: The World's Largest multimodal robotics dataset", "tagline": "Let's archive the world for embodied intelligence", "body": "**TL;DR:** We’re capturing the structure of how humans interact with the physical world to model sensorimotor intelligence at scale\\\n**Launch Video:** \n\n**The Problem:**\n\nModern AI is largely a knowledge transfer problem. Over the past decade, training on trillions of tokens of internet data enabled breakthroughs in LLMs, diffusion models, and vision-language models. But **human intelligence is predominantly embodied**, and the **internet does not capture it**. Every day we manipulate objects, apply force, and subconsciously adapt in noisy real-world environments. Yet there is no dataset that captures the **structure of human interaction with the physical world at scale**. As a result, progress in \\*\\*embodied spatial intelligence is bottlenecked by data.\\*\\*\\\n\\\n**What we built:**\n\nOver the past two months, we built infrastructure for high-quality data collection at scale, including:\n\n* Custom hardware rigs\n* Internal models for policy benchmarking\n* QA pipelines, alignment, and annotation software\n* 25-person operations team\n* Dedicated servers at our AWS data center for terabyte-scale offloading\n\nNow that the system is live, we can collect **up to 8,000 hours of data per day** and we’ve signed national level partnerships to scale our contributor network to **50,000+ people.** We’ve already shipped datasets to frontier research teams, and have built the largest multimodal dataset of it’s kind.\n\n**Our datasets:**\n\nWe are currently collecting data across **homes, restaurants, hotels, retail, transportation, construction, horticulture, and industrial environments** across two datasets. \\\n\\\n**HA-Multi** is a fully aligned multimodal dataset with **vision, stereo depth (IR dot projection), tactile gloves, body IMUs, and wrist cameras**. For customers, we provide structured outputs and visualizations including **3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions**. \\\n\\\n**HA-Ego** is a **mono RGB vision** and **wrist cameras** dataset. \\\n\\\nWe provide **annotations** and **metadata** including **environment and scene descriptions, high-level task descriptions, task-aligned atomic action labels, hand tracking, object segmentation, SLAM (extrinsic** and **intrinsics),** and **3D pose reconstruction**.\n\n**Team:**\n\nHi, we’re Shloke, Samay, Rushil, and Raj. We’re engineers from Stanford and Berkeley who’ve spent our entire lives building across operations, hardware, and robotics. We’ve known each other for over 20 years and joined forces to dedicate the rest of our lives to building the Common Crawl for human sensorimotor intelligence.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You’re building in **robotics, world models, or evaluations**\n* You work at or with frontier AI labs interested real world\n* You know cleaning companies, hotel chains, restaurants, factories, or other businesses interested in scaling efficiency and profits with AI\n\n👉 Contact us at [raj@humanarchive.ai](mailto:raj@humanarchive.ai)\n\n💼 Follow us on LinkedIn: \n\n📱 Follow us on X: ", "url": "https://www.ycombinator.com/launches/PeP-human-archive-the-world-s-largest-multimodal-robotics-dataset", "votes": 29, "created_at": "2026-03-08T23:44:25.753Z" } ] }, { "id": 31206, "name": "Samora AI", "slug": "samora-ai", "former_names": [ "Samora.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eaba07a75fd30d319628002a37abd8993ba036e.png", "website": "https://samora.ai/", "all_locations": "", "long_description": "Samora runs multilingual voice operations for organizations with high-volume calling without requiring engineering teams, call centers, or AI expertise.\r\n\r\nMany important tasks still depend on phone calls, including customer support, outreach, follow-ups, screening, and intake. But voice AI often fails in production because real callers interrupt, go off-script, switch languages mid-sentence, and speak in local dialects. Teams also worry about safety and compliance, especially when an agent can accidentally make the wrong promise.\r\n\r\nSamora solves this with voice agents that sound local and follow strict rules. Samora agents handle inbound and outbound calls, collect information, and update internal systems like CRMs, ticketing tools, and ATS platforms. When a call becomes sensitive or uncertain, the agent hands off to a human. It can also follow up over WhatsApp, SMS, or email when needed.\r\n\r\nWith Samora, teams get:\r\n1. Voice agents that work in real conversations, including dialects and code-switching\r\n2. Strict safety controls so agents don’t make unauthorized offers, discounts, or promises\r\n3. Calls that result in completed actions, system updates, and safe human handoff", "one_liner": "Multilingual voice agents that outperform humans", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1770130182, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "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/samora-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/samora-ai.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/107151277", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eaba07a75fd30d319628002a37abd8993ba036e.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": 709287, "full_name": "Kartik Sawhney", "title": "Founder/CEO", "founder_bio": "Engineer turned product manager turned founder. Building multilingual voice agents that automate workflows and escalate to humans when needed. Stanford CS, experience at Microsoft, IBM and Uber, scaled products to 500k+ users from 80+ countries.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kartiksawhney", "x_url": "https://twitter.com/kartiks22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfdd2b176795b0f6a346d1b07121a3718635ab61.jpg" }, { "user_id": 1193557, "full_name": "Vineeth Kumar", "title": "Founder/CTO", "founder_bio": "Co-founder at Samora AI, a platform for businesses to build voice AI agents for automated communication. Former first engineer at a fintech startup where he helped grow the product from 0 to 50k+ users. Previously co-founded a design & development agency in college and launched an edtech startup, Audify. CS graduate from BITS Pilani.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vineeth-kumar/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfc58347f7f57f81437d515a1cba6cc0562baf61.jpg" }, { "user_id": 1013600, "full_name": "Shakul Raj Sonker", "title": "Founder/COO", "founder_bio": "Building multilingual AI voice agents for real-world business operations. Previously, co-founded an AI-driven accessibility platform, funded and supported by Microsoft, GSMA, UNICEF, and Meta. Studied Maths and CS at Ashoka University and worked as a AI engineer at a fintech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shakul-sonker-672626121", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4e49aee53522860ed293ab2f244de0e882b0e93.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98385, "title": "Samora: Multilingual and Production Grade Voice Agents", "tagline": "Natural sounding multilingual voice agents, built for reliability", "body": "# **TL;DR**\n\n[Samora](https://samora.ai/) runs multilingual, domain-aware AI voice agents for real inbound and outbound phone calls. We own deployment, monitoring, compliance guardrails, observability, and human escalation so companies don’t have to operate voice agents themselves.\n\n Our Launch Video: \n\n# **The Problem**\n\nPhone calls still power core workflows: customer support, collections, verification, recruiting, outreach, feedback, and much more.\n\nIn production, calls are unpredictable. People interrupt. They switch languages mid-sentence. They use dialects. Audio quality is inconsistent. There is background noise. Networks drop. Conversations are policy-sensitive, and one wrong response can create compliance risk.\n\nVoice AI platforms make it easier to build agents. But once live, someone still has to manage runtime behavior, monitor edge cases, enforce policies, investigate failures, and handle escalation.\n\nMost teams do not want to build an internal AI voice operations function.\n\nWe learned this the hard way while scaling a voice agent to thousands of users across India as part of a national helpline. Linguistic diversity, code-switching, choppy lines, and local infrastructure constraints quickly exposed the gap between a working demo and a production system. Reliability, observability, and controlled escalation became non-negotiable.\n\n \n\n# **The Solution**\n\nSamora operates multilingual AI voice agents in production environments.\n\nWe handle:\n\n* Code-switching and dialect-heavy conversations\n* Strict policy enforcement and compliance controls\n* CRM, ATS, and ticketing integrations\n* Turn-level observability and structured explainability\n* Managed human escalation using trained Samora human operators when conversations become sensitive or uncertain\n\nCalls are fully logged and auditable. Customers can see what the agent heard, what rule was applied, what action was taken, and why it escalated.\n\nToday, Samora supports paying customers across financial services, recruitment, healthcare, consumer goods, automotive, and government workflows. In production, we have achieved 80 percent First Contact Resolution in support use cases, a 12 percent lift in collection rates for an auto finance company, and reached 100,000+ candidates while saving 1,700 recruiter hours.\n\n**_Most pilots go live in under a week._**\n\n If you operate high call volumes and do not want to own deployment, monitoring, and escalation of AI voice agents, reach us at [founders@samora.ai](mailto:founders@samora.ai).\n\n\\\nWe welcome introductions to teams facing similar challenges.\n\n ", "url": "https://www.ycombinator.com/launches/Par-samora-multilingual-and-production-grade-voice-agents", "votes": 56, "created_at": "2026-03-03T05:16:24.363Z" } ] }, { "id": 31207, "name": "Caretta", "slug": "caretta", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b2cec49b6c47c5edddfb78c96e58a79924a1032.png", "website": "https://www.caretta.so", "all_locations": "San Francisco, CA, USA", "long_description": "Caretta is a Sales Intelligence for revenue teams. It joins reps in live calls, helping them handle information requests, questions, and objections in real time. Caretta lives in Slack to join the team conversation.\r\n\r\nCaretta gets smarter automatically: every call expands its knowledge base and objection library, turning conversations into compounding organizational advantage.", "one_liner": "Realtime AI for Sales Calls", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1765447039, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Sales" ], "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/caretta", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/caretta.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carettaai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b2cec49b6c47c5edddfb78c96e58a79924a1032.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": 2329217, "full_name": "Kayra Bahadir", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Caretta (W26)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kayrabahadir", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7a577a86fc9da2b24a5996919b98fde57df2dc6.jpg" }, { "user_id": 2547372, "full_name": "Omar Elamin", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Caretta. Ex-TU Delft. Scaled a Discord bot to 30k users", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omarelamin", "x_url": "https://x.com/omarelamin_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5d447af718da44599dbc4c6c323c18fa153eda3.jpg" }, { "user_id": 2511438, "full_name": "Pavlos Markesinis", "title": "Founder/COO", "founder_bio": "Founder at Caretta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pavlosmarkesinis/", "x_url": "https://x.com/pmarkesinis22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61e120af498a240f11f9d656b267a0a7e47a97ab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97398, "title": "Caretta — Realtime AI for Sales Calls 🐢", "tagline": "Caretta’s realtime AI enables salespeople to handle the toughest technical conversations with pure confidence. ", "body": "Hey YC 🐢👋\n\nThis is [Kayra](https://www.linkedin.com/in/kayrabahadir/), [Pavlos](https://www.linkedin.com/in/pavlosmarkesinis/), and [Omar](https://www.linkedin.com/in/omarelamin/). Today we are excited to introduce you to Caretta.\n\n**TL;DR:** Caretta is a real time AI that enables salespeople to handle even the deepest product or technical questions in live calls. It learns from your documents, website, documentation, blogs, chats, internal playbooks, and your best performing reps.\n\n\n\n### **Problem**\n\nSales reps (BDRs and AEs) are often responsible for deeply technical products (and sometimes, many of them!). This makes everyone’s life hard:\n\n* Deals slow down when reps can't answer questions\n* Reps miss upsell opportunities due to lack of knowledge\n* Engineers get looped in prematurely and often\n\nThis stalls deals, and makes everyone inefficient. There must be a better way.\n\n### **How Caretta Solves It**\n\nCaretta is a realtime AI that enables AEs and BDRs to handle even deeply technical questions on live calls. It learns from everything: your documents, website, documentation, blogs, internal playbooks and any other scattered information to create your organisational intelligence. \n\nIn-call, Caretta listens in. If it detects that a rep needs any help, it brings up the answers to the questions a customer is asking – so they can answer any question confidently on the spot.\n\n![uploaded image](/media/?type=post&id=97398&key=user_uploads/2329217/1aaca260-ce32-4e9e-891c-0c24600917ac)\n\nAfter the call, Caretta joins your team in Slack, where the team can ask questions about meeting notes, do GTM analysis, track their to-dos, or draft a follow-up email. \n\nThe best part? \n\nCaretta **maintains and expands its knowledge** by listening to your team in Slack and your top-performing reps in their calls.\n\n### **Our Ask**\n\nIf you are scaling your sales team to 10+ upwards, we’d love to 10x your reps with Caretta. Make sure your reps don’t miss questions when it matters most with Caretta (especially your new hires).", "url": "https://www.ycombinator.com/launches/PKw-caretta-realtime-ai-for-sales-calls", "votes": 144, "created_at": "2026-02-02T16:43:44.713Z" } ] }, { "id": 31208, "name": "Oximy", "slug": "oximy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f253ec2ac4c62d3fd349aefdf584c9074cae87d.png", "website": "https://oximy.com", "all_locations": "San Francisco, CA, USA", "long_description": "Oximy is one platform to see every AI tool and dollar across your company, run your team’s work in an app you own, and route every request to the right model.", "one_liner": "Take command of the AI your company already runs on.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1769530723, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/oximy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/oximy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/oximy", "x_url": "https://x.com/oximyhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f253ec2ac4c62d3fd349aefdf584c9074cae87d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 426038, "full_name": "Naman Ambavi", "title": "Founder/CEO", "founder_bio": "Founder, CEO at Oximy\n\nSpent 6 years watching enterprises panic about AI. Now I fix it.\n\nPrev. COO @ Induced (Backed by Sam Altman, Peak XV)\nPrev. Co-Founder & CEO @ Easocare (India's largest EMR app, acq. by top hospital group in India) ", "is_active": true, "linkedin_url": "https://linkedin.com/in/namanambavi", "x_url": "https://x.com/namanambavi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8003301cd8e5fff27a625766960d562b93db7933.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97538, "title": "Oximy: See everything your company does with AI", "tagline": "AI visibility and governance for the enterprise", "body": "\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/042dbaa7-b053-47f5-acd3-e6208af8971c)\n\nHey everyone, I'm Naman, founder of Oximy.\n\n**TL;DR:** Enterprises have dozens of AI tools with zero visibility into what's being used, what it costs, or where sensitive data is going. Oximy sits on your network and gives you the full picture. Discovery, spend intelligence, and data protection in one platform. We're processing millions of requests daily for enterprises in financial services and healthcare.\n\n**Ask:** If you're dealing with AI sprawl, shadow AI, or data governance challenges, we should talk.\n\n👉 Website: [oximy.com](http://oximy.com)\n\n👉 Book a demo: [oximy.link/demo](https://oximy.link/demo)\n\n\n\n**The Problem**\n\nAI adoption in the enterprise isn't slowing down. But visibility is basically zero.\n\nHere's what we hear from every company we talk to:\n\n* \"We have no idea how many AI tools our employees are using.\"\n* \"Finance keeps asking me what we're spending on AI. I can't give them a number.\"\n* \"Someone pasted our entire customer list into ChatGPT. We found out three weeks later.\"\n* \"We bought Copilot licenses for 500 developers. I couldn't tell you if it's actually helping.\"\n\nIt's not that companies don't care. It's that there's been no way to actually see what's happening.\n\nUntil now.\n\n**The Solution**\n\nOximy gives you three things: **Discovery**, **Spend Intelligence**, and **Data Protection**. They all connect into a single platform that gives you complete visibility into AI across your organization.\n\n**1. Discovery: See every AI tool in your org**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/849af8fa-f0a1-48e1-b8da-b387511dc3fe)\n\nYou can't govern what you can't see. Oximy automatically detects and categorizes every AI tool your employees are using, sanctioned or not.\n\nNo surveys. No manual tracking. No waiting for expense reports to come in.\n\n_Example:_ A financial services company came to us thinking they had 15 approved AI tools. Within the first week, we found 63, including several free tools that employees had signed up for using personal emails. Their security team had no idea.\n\n**2. Spend Intelligence: Understand what AI actually costs**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/fd25f8f5-af21-4004-838a-788412064fe6)\n\nAI spend is exploding, but it's scattered across teams, tools, and cost centers. Oximy consolidates everything so you can see exactly where money is going and where it's being wasted.\n\nWhich tools have overlapping functionality? Which licenses are sitting unused? Which teams are getting ROI and which aren't?\n\n_Example:_ A growth-stage tech company discovered their marketing, design, and product teams were all paying for different AI image generation tools, over $80K per year combined. They consolidated to one tool and redeployed the savings.\n\n**3. Data Protection: Know where sensitive data is going**\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/c7bb7815-1af8-47eb-8f65-d5c97ff6bd85)\n\nThe biggest AI risk is unintentional data leaks.\n\nEmployees paste customer info, source code, financial data, and internal strategies into AI tools every day. Most companies have no visibility into this until something goes wrong.\n\nOximy monitors data flows to AI tools in real time. You can set policies, get alerts, and block sensitive data from reaching unauthorized tools.\n\n_Example:_ A healthcare company set up Oximy and, within 48 hours, flagged an employee uploading patient records to an unapproved AI transcription tool. They were able to intervene immediately and avoid a potential HIPAA violation.\n\n**How It All Connects**\n\nMost companies try to solve these problems separately. A CASB for shadow IT. A spend management tool for costs. A DLP for data protection.\n\nThe problem is that AI doesn't fit neatly into any of these buckets. And none of them talks to each other.\n\nOximy is built from the ground up for AI. Discovery, spend, and data protection all live in one platform, so you get the full picture, not three partial views stitched together.\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/9cdcb6f7-149f-4101-a0b0-d118b8887e11)\n\nSee a new AI tool pop up? You immediately know who's using it, what it costs, and which data it accesses.\n\nSee a spike in spend? You can trace it back to specific teams and tools.\n\nSee sensitive data flowing somewhere it shouldn't? You can block it and trace it back to the source.\n\nEverything connects.\n\n**How It Works**\n\nWe integrate at the network layer, sitting on your firewall or proxy.\n\nWhy does this matter?\n\nBecause every AI tool communicates over the network. ChatGPT, Copilot, Midjourney, Claude, Gemini, and every new tool that launches next month. We don't need endpoint agents. We don't need individual integrations with each vendor. We see everything automatically.\n\nThis also means we're future-proof. When the next AI tool shows up, we're already watching.\n\n![uploaded image](/media/?type=post&id=97538&key=user_uploads/426038/4cd8ad8c-e125-4b7d-87e6-268edf631be7)\n\n**Why Now**\n\nTwo years ago, AI in the enterprise was experimental. A few people are trying ChatGPT. Maybe a Copilot pilot.\n\nNow it's everywhere. And governance hasn't caught up.\n\nCISOs are being asked, \"What AI tools are we using?\" and don't have an answer. CFOs are watching AI costs explode with no accountability. Boards are asking about AI risk and getting shrugs. Regulators are starting to pay attention.\n\nThe companies that figure out AI governance now will be the ones that can scale AI adoption safely. The ones that don't will either slow down and lose, or speed up and get burned.\n\nWe're working with enterprises in financial services, healthcare, and growth-stage tech companies. We process millions of requests every day across thousands of AI tools.\n\nIf any of this resonates, we should talk:\n\n* CISOs and security leaders who are trying to get a handle on AI risk\n* CIOs, AI Transformation, and IT leaders dealing with shadow AI and tool sprawl\n* CFOs and procurement who are trying to understand AI spend\n\n👉 **Website:** [oximy.com](http://oximy.com)\n\n👉 **Book a demo:** [oximy.link/demo](https://oximy.link/demo)\n\n👉 **Email me directly:** [naman@oximy.com](mailto:naman@oximy.com)", "url": "https://www.ycombinator.com/launches/PNC-oximy-see-everything-your-company-does-with-ai", "votes": 27, "created_at": "2026-02-05T16:42:04.228Z" } ] }, { "id": 31209, "name": "AxionOrbital Space", "slug": "axionorbital-space", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45756da0fcb8d428dd8a6d3aaccf624ef98863b9.png", "website": "https://axionorbital.space/", "all_locations": "San Francisco, CA, USA", "long_description": "AxionOrbital Space builds foundation models that enable continuous visibility through clouds and darkness. Legacy optical satellites are rendered useless 70% of the time by weather and night cycles, while Synthetic Aperture Radar (SAR) produces data that is unintelligible to humans and breaks standard vision pipelines.\r\n\r\nWe solve this by translating raw radar backscatter into analysis-ready optical imagery in real-time. Our proprietary architecture uses deterministic one-step diffusion to transform complex radar signals into clear, photorealistic images. This enables persistent, 24/7 situational awareness for defense, commodities trading, and disaster response, guaranteeing visibility even when the sky is blocked.", "one_liner": "Foundation models for 24/7 Earth Observation", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1766035351, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "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 your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We will replace passive optical satellites as the primary mode of Earth observation. By bridging the interpretability gap, we make SAR the global default for critical monitoring ; delivering continuous, 24/7 intelligence at 1/100th the cost of current tasking. Crucially, this efficiency decoupling means humanity can monitor the entire planet with fewer, more capable sensors, drastically reducing hardware congestion in Low Earth Orbit. We are building a future where planetary visibility is not a luxury dependent on the weather, but an omnipresent utility available anytime, anywhere." } ], "url": "https://www.ycombinator.com/companies/axionorbital-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/axionorbital-space.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/axion-orbital/", "x_url": "https://x.com/axionorbital", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45756da0fcb8d428dd8a6d3aaccf624ef98863b9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9ec7569115a16494ea4fff1678fe8410c5099e96.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/746df44185c55faf1d8e1acda9b27575133cc01d.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2760886, "full_name": "Dhenenjay Yadav", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of AxionOrbital Space - Building Foundation models for 24/7 Earth Observation | Computer Vision Research | Ex- IIMA, ISRO | RL Enthusiast | Ex-Esports (PUBG) | Built UAVs in the past", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dhenenjay-yadav/", "x_url": "https://x.com/dhenenjay", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f731bc6af568636f7e5ae065c8b3d832e00daa5b.jpg" }, { "user_id": 3189834, "full_name": "Atharva Peshkar", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of AxionOrbital Space - Building Foundation models for 24/7 Earth Observation | Computer Vision Research | Ex- Harvard | CS PhD @ CU Boulder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atharva-peshkar-43a104b7", "x_url": "https://x.com/atharva_peshkar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da1d88ea72a5f46d5014e83f806eb34bc636c013.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96547, "title": "AxionOrbital Space : SOTA Foundation Models for 24/7 Earth Observation", "tagline": "Introducing Orion : The most advanced SAR-to-Optical Model ever built ~ FID=30.24 || SSIM=0.6", "body": "Visibility is everything. It drives defense strategies, market predictions, and disaster response. Being able to see the ground truth, regardless of weather or time of day is how modern intelligence information asymmetry is created. Yet, 70% of the time the world is effectively blind. Clouds, smoke, and darkness render standard optical satellites useless two-thirds of the time.\n\nToday, we are changing that. We are introducing **ORION**.\n\n![uploaded image](/media/?type=post&id=96547&key=user_uploads/2760886/7df2ec94-f4be-4b48-8aa5-122a80822ded)\n\nORION is the most advanced Earth Observation model ever created, making continuous visibility possible. It has a FID score of **30.24**, beating the current SOTA C-DiffSET by **19.23%** on the MSAW benchmark. It also crushed every competitor with a SSIM score of **0.60**.\n\nIt eliminates the critical visibility gap and removes the physical constraints of traditional Earth Observation. Our model converts **RADAR (SAR)** into very high resolution optical satellite imagery which is fully anchored in the radar signal and instantly understandable to humans.\\\n\\\nThis unlocks total **Planetary Awareness**. Orion pierces through smoke, clouds, and night to create a seamless 24/7 stream of high res optical imagery.\n\nBy transforming complex radar signals into clear visual data, we enable industry grade alpha for hedge funds/HFTs, situational awareness for defense, crop monitoring for agriculture, and intelligent planning for urban planners.\\\n\\\n[Axion Launch Video](https://youtu.be/qWYjqk26V20)\n\n**We are releasing Orion with capabilities that redefine the state-of-the-art:**\n\n* **Unmatched Fidelity:** Orion achieved the highest ever FID score of **30.24**, surpassing the current SOTA (C-DiffSET) by **19.23%** on the MSAW benchmark. We do not hallucinate buildings; our physically anchored priors reveal the ground truth exactly as it exists. We also achieved a new SOTA SSIM score of **0.60**\n* **Real-Time Latency:** While standard diffusion models take a few seconds to generate an image, Orion runs in **0.06 seconds**. \n* **Total Visibility:** Whether it is 3 AM, raining, or covered in smoke, Orion maintains full operational visibility.\n\n**We built Orion to power the world’s most critical operations:**\n\n* **For Defense & Intelligence:** Operators can track vehicle/troop movement in total darkness or through heavy smoke during reconnaissance operations.\n* **For Traders:** Analysts can measure global oil supply by analysing oil rigs and wells 24/7, rather than relying on outdated clear-sky data.\n* **For Agriculture & Climate:** Agencies can map flood lines through heavy storm clouds to coordinate disaster response instantly, rather than waiting for weather conditions to improve.\n\n**The Team** We are Computer Vision researchers who have lived this problem.\n\n* [**Dhenenjay Yadav**](https://www.linkedin.com/in/dhenenjay-yadav/)** (CEO):** ML Engineer at ISRO, RL Researcher at IIMA\n* [**Atharva Peshkar**](https://www.linkedin.com/in/atharva-peshkar-43a104b7/)** (CTO):** PhD CS (CU Boulder), Researcher at Harvard VCG.\n\n**Our Ask** We are deploying via API or on-prem/edge for enterprise clients. We are looking for introductions to enterprises who require continuous visibility:\n\n1. **Defense & Intelligence:** Decision-makers requiring 24/7 ISR capabilities.\n2. **Finance:** HFTs and Commodity Traders needing an edge in supply chain monitoring.\n3. **Satellite Data Aggregators/Analytics** : If you buy SAR/Optical data and sell data products.\n4. **SAR/Optical Satellite Providers:** If you own a constellation, let’s partner up.\n5. **Agri/Climate/Others** : If you are anyone who uses high res, high frequency satellite images, feel free to dm us.\n\n**Check Axion here:**[ https://axionorbital.space/](https://axionorbital.space/)", "url": "https://www.ycombinator.com/launches/P7D-axionorbital-space-sota-foundation-models-for-24-7-earth-observation", "votes": 230, "created_at": "2026-01-06T19:18:05.835Z" } ] }, { "id": 31210, "name": "Mendral", "slug": "mendral", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb8ab79d58a9a62e857747309cac10d5d41fbb2.png", "website": "https://mendral.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Mendral is an AI DevOps Engineer that observes, diagnoses, acts, and learns continuously. It autonomously handles CI failures, flaky tests, slow builds, broken releases, and code reviews, improving with every build and run. Over time, Mendral evolves into a self-improving delivery system that manages performance, quality, security, and compliance, all without manual intervention.", "one_liner": "AI DevOps Engineer", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769123342, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Inactive", "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/mendral", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mendral.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mendral/", "x_url": "https://x.com/MendralHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fb8ab79d58a9a62e857747309cac10d5d41fbb2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 152166, "full_name": "Sam Alba", "title": "Founder", "founder_bio": "Co-founder of Mendral | Your CI fixes itself now | Co-founder of Dagger | ex-Docker (1st hire, VP Eng)", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/samalba/", "x_url": "https://x.com/sam_alba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc926ce244335041cca960cc40cc095cef743f0d.jpg" }, { "user_id": 290895, "full_name": "Andrea Luzzardi", "title": "Founder", "founder_bio": "Fixing CI before AI breaks it. Co-founded Dagger (W19). Wrote Docker’s first lines of code in the earliest days. Ex-Google · Ex-Microsoft.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/aluzzardi/", "x_url": "https://x.com/aluzzardi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eaaae593c75bb9897a2cd08fe563253f1030adf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97177, "title": "Mendral - AI DevOps Engineer", "tagline": "Mendral makes your CI green and fast", "body": "Hi YC! We are building **Mendral**, an **always-on AI DevOps Engineer**.\n\nMendral is managing CI/CD in production for 15 teams. 5 of them are paying customers, including [PostHog](https://github.com/PostHog/posthog/commits?author=mendral-app%5Bbot%5D).\n\nPreviously, we were founding engineers at Docker and later co-founded Dagger together.\n\n\n\n### The problem\n\nDev teams waste thousands of engineering hours chasing broken builds, flaky tests, and fragile pipelines. Most tooling is still pre-AI. It creates alerts and dashboards, but developers still do the work. Now, with coding agents accelerating code production, CI load and failure modes are only getting worse.\n\nTeams should not need dedicated platform-engineering headcount just to keep delivery from breaking.\n\n### What Mendral does\n\nMendral **observes → diagnoses → acts → learns** across your delivery pipeline.\n\nToday, Mendral can:\n\n* Diagnose CI failures (what changed, what failed, why)\n* Detect and mitigate flaky tests\n* Identify slow builds/runs and propose fixes\n* Help with code reviews tied to delivery reliability\n\nOver time, Mendral becomes a self-improving delivery system for **performance, quality, security, and compliance**, without needing dedicated DevOps/platform headcount for smaller teams.\n\n### Ask\n\nIf your team is dealing with **flaky tests, slow CI, or recurring build failures**, we’d love to help.\n\n[Request a demo](https://www.mendral.com/early-access) and we will onboard you in under five minutes.\n\n![uploaded image](/media/?type=post&id=97177&key=user_uploads/152166/a2689ea0-dd7f-46be-ab85-a6fdb00d464a)\n\n", "url": "https://www.ycombinator.com/launches/PHN-mendral-ai-devops-engineer", "votes": 57, "created_at": "2026-01-26T19:34:11.416Z" } ] }, { "id": 31212, "name": "Constellation Space", "slug": "constellation-space", "former_names": [ "Constellation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/507992dfdd26c7120b018a48e02b63f2dbff68b3.png", "website": "https://constellation.space/", "all_locations": "Seattle, WA, USA", "long_description": "Constellation Space is building the autonomous infrastructure layer for the next generation of space networking. As satellite constellations rapidly scale from hundreds of nodes to tens of thousands, traditional ground-based orchestration fundamentally breaks down. ConstellationOS bridges this gap by providing zero-intervention network handoffs, predictive thermal load-balancing, and sub-second optical routing.\r\n\r\nOur founding team spent years building and operating satellite systems at SpaceX, Blue Origin, and NASA. We started Constellation to solve the problem we kept running into: reactive monitoring doesn't scale.\r\n\r\nWe are building the sub-second routing protocols and hyperscale load-balancing infrastructure that will manage the future of off-world telecommunications and compute. \r\n\r\nhello@constellation-io.com", "one_liner": "AI operating system for mega-scale satellite networks. ", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1766273553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/constellation-space", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/constellation-space.json", "year_founded": 2025, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/constellation-io", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/constellation-space", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/507992dfdd26c7120b018a48e02b63f2dbff68b3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3119155, "full_name": "Kamran Majid", "title": "Founder/CEO", "founder_bio": "CEO @ Constellation | ex. SpaceX, NASA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kamran-majid/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b55aba3060972ad1893265732935d1836f5c9eb.jpg" }, { "user_id": 1939138, "full_name": "Laith Altarabishi", "title": "Founder", "founder_bio": "Building Constellation - AI for satellite mission assurance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/laithaustin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5074d3252031ff6085f40f1dd5ea189f3a32f3b.jpg" }, { "user_id": 3119165, "full_name": "Raaid Kabir", "title": "Founder", "founder_bio": "building constellation | prev. @ blue origin", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raaid-kabir/", "x_url": "https://x.com/raaidkabir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53a5212c96991869ce04abca0f964331c59f64e3.jpg" }, { "user_id": 1939094, "full_name": "Omeed Tehrani", "title": "Founder/COO", "founder_bio": "co-founder of constellation space ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/omeedtehrani", "x_url": "https://x.com/omeedtehrani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39db054c865b934cc65c9d52710716dfb9157636.jpg" } ], "jobs": [], "news": [ { "title": "Meet The New Y-Combinator Startups Poised To Change Tech", "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/", "date": "Mar 16, 2026" }, { "title": "Startup Radar: Meet 5 new early stage tech companies in Seattle – GeekWire", "url": "https://www.geekwire.com/2025/startup-radar-meet-5-new-early-stage-tech-companies-building-in-seattle/", "date": "Nov 21, 2025" } ], "launches": [ { "id": 96699, "title": "Constellation — The Operating System for Space", "tagline": "We're building AI for satellite mission assurance. ", "body": "## **TL;DR**\n\nConstellation is an AI-powered operating system for satellite constellation management. We predict link failures before they happen (90%+ accuracy) and autonomously reroute traffic in under 2 seconds—zero data loss, zero human intervention.\n\n\n\n---\n\n## **The Problem**\n\nThere are 10,000 satellites in orbit today. There will be 70,000 by 2030.\n\nNetwork failures already cost the industry **$2.5 billion per year**—and the old model of managing these networks manually doesn't scale to thousands of satellites.\n\nToday's satellite operators are stuck in reactive mode: something breaks, engineers scramble, data gets lost, SLAs get violated. The tools were built for a world with dozens of satellites, not thousands.\n\nAs constellations grow, the complexity compounds. Weather events, atmospheric interference, traffic spikes, hardware degradation—all happening across a global network, 24/7. No human team can monitor and respond fast enough.\n\n---\n\n## **The Solution**\n\nConstellationOS is an AI-driven operating system that makes satellite networks autonomous and resilient.\n\n**What it does:**\n\n* **Ingests telemetry** from satellites, ground stations, and weather systems—over 100,000 messages per second\n* **Predicts failures** using advanced ML models (atmospheric, signal quality, network topology, traffic patterns)\n* **Autonomously acts** to reroute traffic, execute handoffs, and rebalance load—all in under 2 seconds\n\nThink of it as autopilot for your satellite network. We give you a 5-minute early warning window before failures happen, then handle the response automatically.\n\n**The result:** Zero data loss. Zero human intervention. Massive cost savings.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/e124d84e-3575-4be4-8460-e95f51f36d54)\n\n---\n\n## **Why Us**\n\nOur team has worked on this exact problem for years at **SpaceX**, **Blue Origin**, and **NASA**. We've seen firsthand how current tools break down at scale—and we've built the systems that need to replace them.\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/dddc1558-c6af-474e-8c06-11bf56e91b0f)\n\nWe're not theorizing about satellite operations. We've lived it.\n\n---\n\n## **Traction**\n\nWe're currently in the design partner phase testing with a couple of commercial/government operators.\n\n---\n\n## **Ask**\n\nIf you're **operating a satellite constellation**—whether defense, commercial broadband, Earth observation, or IoT—we'd love to talk.\n\nWe're looking for design partners who want to move from reactive firefighting to proactive, autonomous network management.\n\n**Book a call:** \\\n**Say hi!:** [hello@constellation-io.com](https://mailto:hello@constellation-io.com)\n\n---\n\nWe're Constellation, and we're building the operating system for space.\n\n---\n\n---\n\n---\n\n---\n\n![uploaded image](/media/?type=post&id=96699&key=user_uploads/3119155/124cef60-6956-4d35-b28f-21d6da6f7329)\n\n—\n\nKamran Majid, Raaid Kabir, Omeed Tehrani, Laith Altarabishi (Constellation, W26)", "url": "https://www.ycombinator.com/launches/P9f-constellation-the-operating-system-for-space", "votes": 46, "created_at": "2026-01-12T08:11:01.884Z" } ] }, { "id": 31213, "name": "Byteport", "slug": "byteport", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/515fbb960faad853499593966f0f18335db6e845.png", "website": "https://byteport.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Founded in 2025, Byteport is a technology company that builds mission-critical network infrastructure for robotics, satellite, AI, and enterprise applications all over the world. Businesses of every size—from new startups to public companies—use our software to accelerate file transfer online.", "one_liner": "Global upload acceleration for 1GB-100TB files.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768498499, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/byteport", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/byteport.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/byteport-io", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/515fbb960faad853499593966f0f18335db6e845.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": 1403946, "full_name": "Jayram Palamadai", "title": "Founder/CEO", "founder_bio": "CEO @ Byteport | CERN, Netflix", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayram-palamadai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5cf6170934b0223f3b98b3f72fad4ab8c2d7d2b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98332, "title": "Byteport - Transfer Large Files 2-10x Faster than TCP", "tagline": "Every file you've ever uploaded uses a protocol designed in 1974. We built the replacement.", "body": "**TL;DR:** Byteport’s Dynamic Accelerated Record Transfer (DART) is a new file transfer protocol typically 10x faster than TCP. With DART, applications like AI, robotics, and video data can move files from 1GB - 100TB from any source to any destination in one click.\n\n\n\n**The problem:**\n\nIt’s extremely difficult and expensive to move data quickly. Fortune 500 companies regularly ship their data in trucks. Current infrastructure still requires extensive hardware, software, network configuration, and time.\n\nByteport has changed this.\n\n**The solution:**\n\nOur accelerated file transfer protocol is capable of moving files between any two endpoints on the internet with zero configuration.\n\nWith a single installation, your laptop/robot/sensor can send data 10x faster than before. On unreliable connections like cellular/LTE/satellite, Byteport regularly shows speedups of 1000x (yes, really); giving you the ability to send files _anywhere_, at speeds previously thought impossible.\n\n**Why this matters:**\n\nIf you work with big data, you are likely throwing away your biggest competitive advantage.\n\n* Robotics teams delete up to 96% of their sensor data every day.\n* Foundation/AI models drift by up to 5% daily because they can’t perform nightly fine-tuning, like OpenAI does.\n* SaaS / Data distributors lose weeks every sales cycle building custom connectors and convincing enterprises they’re secure enough.\n\nWhy is so much value left on the table? Data volume.\n\n**What YOU unlock with DART’s 10x data speed:**\n\n* Robotics data hits the cloud immediately - robots otherwise take up to 7 days to learn if they made a mistake.\n* AI teams get 10x more ablations/evals/fine-tunes.\n* SaaS / Big Data teams can pass security reviews without needing SOC 2 and charge 2-3x for data delivery (their “custom connector” = Byteport).\n\n**Ready to DART?**\n\nNetwork bottlenecks don’t just take away your biggest competitive moat, they also waste your time and money. Byteport can change that.\n\n* Book a call: \n* Email us: [info@byteport.io](mailto:info@byteport.io).", "url": "https://www.ycombinator.com/launches/Pa0-byteport-transfer-large-files-2-10x-faster-than-tcp", "votes": 17, "created_at": "2026-03-02T17:16:54.201Z" } ] }, { "id": 31214, "name": "Pocket", "slug": "pocket", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7b4a695b429eabb8374b32ddca5ea66043822a7.png", "website": "https://heypocket.com/now", "all_locations": "San Francisco, CA, USA", "long_description": "Pocket is a Y Combinator W26 company building a premium hardware plus software product in the AI voice recorder space. We are obsessed with quality and speed. We are scaling very fast in the US and now European markets and building a device experience that can become the category leader.", "one_liner": "Take Notes in the Real World", "team_size": 35, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1764996860, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "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/pocket", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/pocket.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/heypocketai", "x_url": "https://x.com/heypocket", "fb_url": "https://www.facebook.com/p/Pocket-AI-61574405177312/", "cb_url": "https://www.crunchbase.com/organization/openvision-engineering/", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7b4a695b429eabb8374b32ddca5ea66043822a7.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": 1169515, "full_name": "Akshay Narisetti", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Pocket (YC W26). Previously built one of the world’s largest open-source AI note-taking devices and shipped multiple hardware + AI products used by thousands of users.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshaynarisetti", "x_url": "https://x.com/AkshayNarisetti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed8851e1d4ebc5c5a00ba27320c142e0a487ad75.jpg" }, { "user_id": 569747, "full_name": "Gabriel Dymowski", "title": "Founder", "founder_bio": "Co-founder at Pocket (YC W26). Previously CEO & co-founder of DoxyChain (blockchain document infrastructure for enterprises/public sector).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabrieldymowski/", "x_url": "https://x.com/gabrieldymowski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f485ca5a22718871d2f8f8a1a85d494de6311d9.jpg" } ], "jobs": [ { "id": 97183, "title": "Customer Support Lead", "url": "https://www.ycombinator.com/companies/pocket/jobs/KM5BM0s-customer-support-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$100K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 97380, "title": "Engineering Generalist - Product Impact (Full Stack)", "url": "https://www.ycombinator.com/companies/pocket/jobs/Ap9oVnM-engineering-generalist-product-impact-full-stack", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97381, "title": "Research Engineer - Voice Intelligence", "url": "https://www.ycombinator.com/companies/pocket/jobs/TdcrUTp-research-engineer-voice-intelligence", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97382, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/pocket/jobs/9ut9HGO-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$190K - $230K", "equity_range": "0.10% - 0.20%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105485, "title": "Supply Chain Analyst", "url": "https://www.ycombinator.com/companies/pocket/jobs/I3ev3LH-supply-chain-analyst", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120 - $150K", "equity_range": "0.03% - 0.07%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 105488, "title": "Senior Amazon Marketplace Manager", "url": "https://www.ycombinator.com/companies/pocket/jobs/1Esi2IU-senior-amazon-marketplace-manager", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "", "experience": "6+ years", "visa": "Will sponsor", "skills": [] }, { "id": 106482, "title": "Fractional General Counsel", "url": "https://www.ycombinator.com/companies/pocket/jobs/K7pXXzZ-fractional-general-counsel", "location": "San Francisco, CA, US / Remote", "type": "Contract", "role": "Legal", "role_type": null, "salary_range": "$200 - $300 / hourly", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 107563, "title": "Visual Designer / Design Generalist", "url": "https://www.ycombinator.com/companies/pocket/jobs/IPLsX7h-visual-designer-design-generalist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Brand/graphic design", "salary_range": "$95K - $120K", "equity_range": "0.01% - 0.02%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Branding", "Marketing design", "Figma" ] }, { "id": 110617, "title": "Founding Recruiter", "url": "https://www.ycombinator.com/companies/pocket/jobs/Fk8pBPH-founding-recruiter", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Full cycle", "salary_range": "$150K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112943, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/pocket/jobs/nUpiCKn-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $250K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 112944, "title": "Founding Account Manager", "url": "https://www.ycombinator.com/companies/pocket/jobs/KADx9Nm-founding-account-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 112945, "title": "Founding Growth Marketer, B2B", "url": "https://www.ycombinator.com/companies/pocket/jobs/vNcfLPO-founding-growth-marketer-b2b", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 115223, "title": "Head of Subscriptions & Monetization", "url": "https://www.ycombinator.com/companies/pocket/jobs/5eJ8miH-head-of-subscriptions-monetization", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$220K - $260K", "equity_range": "0.20% - 0.35%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115911, "title": "Founding Content Creator", "url": "https://www.ycombinator.com/companies/pocket/jobs/1AGdgTC-founding-content-creator", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115943, "title": "Head of Product", "url": "https://www.ycombinator.com/companies/pocket/jobs/Fr5muFh-head-of-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$220K - $300K", "equity_range": "0.30% - 0.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Pocket's AI Notetaker Launched 8 Months Ago. Revenue Is Soaring. - Business Insider", "url": "https://www.businessinsider.com/pockets-ai-notetaker-launched-8-months-ago-revenue-is-soaring-2026-8", "date": "Aug 19, 2026" }, { "title": "Pocket raises $11M in bet on rising demand for AI note-taking devices | TechCrunch", "url": "https://techcrunch.com/2026/06/29/pocket-raises-11m-in-bet-on-rising-demand-for-ai-note-taking-devices/", "date": "Jun 29, 2026" } ], "launches": [ { "id": 98365, "title": "Pocket - Your notetaker for real world meetings", "tagline": "There's a hundred apps for online meetings. This is for everything else.", "body": "## **TL;DR**\n\nPocket is a small device that takes notes for all your conversations and meetings. Later, Pocket sends you transcripts, summaries and pulls out your to-dos.\\\n\\\nPocket is taking off. In the last 5 months, we’ve delivered over 30,000 units. **We have a $27M annualized revenue run rate, growing 50% month over month.**\n\n\\\n\\\n**Hey, we're Akshay and Gabriel.**\n\nWe kept noticing the same thing: every important conversation in our lives happened in person - investor meetings, doctor visits, client calls, team standups. And every single note-taking tool on the planet only worked over Zoom.\n\nFor in-person conversations, the best technology available was a pen.\n\n**So we built Pocket.**\n\nPocket is a small device. **Three mics. One button.**\n\nYou press it. You have your conversation. **A summary is waiting for you in the Pocket app.**\n\nThe full transcript too. Pocket tacks who said what. You get automatically-generated summaries. And those things you promised? **We capture all your todos for you.**\n\nWith Pocket, **you don't type. You don't take notes. You can just talk and be present.**\\\n\\\n**It also does something no app can:**\n\nSnap Pocket to the back of your phone. **Its contact mic can capture and summarize both sides of a phone call. No speakerphone required.**\n\nYour doctor calls with test results? Someone rattles off an interesting quote? Your lawyer explains something complicated and fast? **It's all in Pocket. Word for word.**\n\n---\n\n![uploaded image](/media/?type=post&id=98365&key=user_uploads/1169515/acbda200-7586-4988-9cbd-0e54a95b9873)\n\n## **About Us:**\n\nAkshay previously built, Omi, one of the world's largest, open-source AI note-taking devices. He is obsessed with this problem and turned down the Google VR team three times to build Pocket.\n\nGabriel is the former CEO of DoxyChain.\\\n\\\n**How you can help:**\n\n🙏 **Try it!** Order yours today at [**heypocket.com/now**](https://heypocket.com/now). We’d love your feedback.\n\n💬 **Share this** with anyone you know who walks out of meetings thinking, \"wait, what did they say?\"\n\n🔗 **Enterprise/teams** — [**akshay@heypocket.com**](mailto:akshay@heypocket.com). We do bulk orders and deployment.", "url": "https://www.ycombinator.com/launches/PaX-pocket-your-notetaker-for-real-world-meetings", "votes": 494, "created_at": "2026-03-02T21:30:39.539Z" } ] }, { "id": 31215, "name": "Bubble Lab", "slug": "bubble-lab", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.png", "website": "https://bubblelab.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Bubble Lab helps event organizers and professional communities turn a room full of people into meaningful connections. We help them understand who’s in the room, identify who should meet, make the introduction, and remember those relationships for the next event.\r\n\r\nAttendee enrichment, matchmaking, searchable member directories, applications, payments, Luma and Slack sync, onboarding, and analytics all live in one place, so a single operator can run better gatherings and build a smarter community over time.", "one_liner": "Turn gatherings into lasting relationships.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1764881455, "tags": [ "Community", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bubble-lab", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/bubble-lab.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bubblelab-ai/", "x_url": "https://x.com/bubblelab_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/bubble-lab-5a07", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a94fc548c8500f0d7e462b5e941cb7f149637d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2131392, "full_name": "Selina Li", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO of Bubble Lab, previously cofounder of gymii.ai | UPenn '23, Cornell Tech MEng '25 | Competitive golfer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/selina-li-2624a4198/", "x_url": "https://x.com/Selinaliyy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96866d00735919acdefc5cbaeba556b4e1fafe71.jpg" }, { "user_id": 1374763, "full_name": "Zach Zhong", "title": "Founder/CTO", "founder_bio": "I like to automate everything\nCornell Tech CS'25, UCSD CS'24\nPrev co-founded gymii.ai\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zzy0516", "x_url": "https://x.com/zhubzyz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5151bc77abb854851e5026b41e16a2118e6b8eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98131, "title": "Bubble Lab - Supercharge your Ops work in Slack", "tagline": "Meet Pearl, your super-employee that handles your ops tasks in slack", "body": "Hey everyone! 👋\n\nWe’re [Selina](https://www.linkedin.com/in/selina-li-2624a4198/) and [Zach](https://www.linkedin.com/in/zzy0516/) from Bubble Lab. \n\n**TL;DR:** Bubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack. Pearl connects to tools like Notion, Jira, and Stripe and runs real operational workflows for your team—no engineering required.\n\n**THE PROBLEM** ❌\n\nOperations work today is fragmented across dozens of tools. Updating CRMs after calls, generating reports, triaging customer issues, and coordinating workflows all require constant context switching and manual effort.\n\nAutomating these processes is even harder. Existing tools are brittle, require engineering time, or live outside where teams actually work. As a result, most ops teams still rely on manual processes, even for repetitive, predictable tasks.\n\nThis slows teams down and makes it harder to scale operations without scaling headcount.\n\n**OUR SOLUTION** 👷\n\nDemo: \n\nBubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack in under a minute.\n\nWe’re already powering 4,000+ operators and fast-moving teams.\n\nPearl connects securely to your tools— Notion, Jira, HubSpot, Stripe, Google Workspace, and more—and can take action on your behalf. Teams use Pearl to:\n\n* Update HubSpot automatically after sales calls\n* Create Jira tickets from user feedback\n* Generate daily pipeline and revenue reports\n* Track and follow up on open invoices\n* Run operational workflows triggered directly from Slack\n\nWhen something needs to be repeated, Pearl turns it into a reliable workflow your team can run anytime.\n\nInstead of switching between tools or building custom automation infrastructure, teams can run and manage operations entirely from Slack.\n\n **OUR ASK 🙏**\n\nIf you run ops or growth at your company, we’d love to hear from you.\n\nTry Bubble Lab:[ https://bubblelab.ai](https://bubblelab.ai)\n\nWe’re especially excited to work with teams that want to automate operational workflows across their stack without engineering overhead.", "url": "https://www.ycombinator.com/launches/PWl-bubble-lab-supercharge-your-ops-work-in-slack", "votes": 7, "created_at": "2026-02-24T14:13:32.293Z" } ] }, { "id": 31217, "name": "Polymath", "slug": "polymath", "former_names": [ "Palette AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76bb13df5212f06b3a237b0ede4cf3adcc8c13e7.png", "website": "https://polymathlabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Polymath is a data lab focused on improving long-horizon agent capabilities and alignment.\r\n", "one_liner": "Simulation environments to train & evaluate long-horizon AI agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769103780, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/polymath", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/polymath.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/polymath-ai-labs", "x_url": "https://x.com/polymath_labs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76bb13df5212f06b3a237b0ede4cf3adcc8c13e7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 3198256, "full_name": "Dylan Ma", "title": "Founder/CEO", "founder_bio": "Co-Founder / CEO @ Polymath. Previously @ Hume AI, AWS, UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dylan-ma-45725b158/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e7ea3e3207c15119f58ee39355aa19ac3745420.jpg" }, { "user_id": 3217273, "full_name": "Naren Yenuganti", "title": "Founder/CTO", "founder_bio": "Co-Founder / CTO @ Polymath. Previously @ Plaid, Amazon, UC Berkeley\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/narenyenuganti/", "x_url": "https://x.com/narenyenuganti", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44a63ec2a92f8494816be3640cb941f8b17b4024.jpg" } ], "jobs": [ { "id": 93737, "title": "Member of Technical Staff - Engineering", "url": "https://www.ycombinator.com/companies/polymath/jobs/t8l6gRt-member-of-technical-staff-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 93738, "title": "Member of Technical Staff - Research", "url": "https://www.ycombinator.com/companies/polymath/jobs/N7ZQQxs-member-of-technical-staff-research", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $300K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Meet The New Y-Combinator Startups Poised To Change Tech", "url": "https://www.forbes.com/sites/dariashunina/2026/03/16/21-most-promising-startups-from-y-combinators-latest-batch/", "date": "Mar 16, 2026" } ], "launches": [ { "id": 98237, "title": "Polymath", "tagline": "Simulation environments to train & evaluate long-horizon AI agents", "body": "## Problem\n\nWe’re at the very beginning of the agent era. The demand for AI is shifting from models that simply answer questions to agents that can operate autonomously over days and weeks. Models have become incredibly proficient at short tasks, but fail when asked to perform **long-horizon work** that requires proficiency with a **diverse set of tools**.\n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/0489f25a-b235-4d6f-ade3-86a0a5b4897c)\n\n(source: ) \n\nStatic datasets are no longer sufficient. To improve the performance of autonomous agents, they must be trained inside environments that reflect the real world.\n\nToday, most RL environments are narrow in scope, test isolated workflows, deal with static data, and produce rollouts that take on the order of minutes to complete. Innovation in environment technology is needed in order to train agents that can perform reliably over extended durations without human guidance.\n\n## Solution\n\nPolymath builds **simulated worlds where AI agents learn to operate autonomously over long horizons**. Our environments combine running applications, real tools, and multi-step tasks that reflect the complexity of real work. Instead of solving small, isolated problems, agents learn by completing end-to-end work inside living systems that evolve over time. We train agents on tasks that could take humans days of effort to complete. To perform these tasks effectively, agents need to exercise good judgement under ambiguous circumstances, and respond to changes in the environment.\n\n## Horizon-SWE\n\nWe recently launched Horizon-SWE, a benchmark that drops frontier models into a simulated software company.\n\nIt consists of a **running application, real tools, and long-horizon tasks** covering the entire software development lifecycle (planning, coding, testing, deployment, monitoring). The benchmark measures the ability of AI agents to perform **end-to-end SWE tasks**, as opposed to code generation alone. Leading models score around 25% on the benchmark.\n\nRead more about our methodology here: \n\n![uploaded image](/media/?type=post&id=98237&key=user_uploads/2471616/a86c29a4-fcff-4ae9-a7fe-53bdf6234300)\n\n## Team\n\nPolymath is a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-training frontier models in industry, and building large-scale data systems.\n\nDylan previously led post-training research and data at Hume AI. He launched the first generative AI features at AWS model inference, and received the Amazon Inventor Award. Dylan studied Computer Science at UC Berkeley, and conducted research in reinforcement learning at Berkeley Artificial Intelligence Research (BAIR), and ML systems at the RISE Lab. He is a recipient of the National Science Foundation (NSF) Fellowship.\n\nNaren led the development of Plaid’s credit monitoring system from the ground up, building infrastructure that now supports millions of business-critical transactions daily. At Amazon, he was a core contributor to large-scale ML systems powering critical logistics workflows. Naren studied Electrical Engineering & Computer Science at UC Berkeley, and conducted research in ML systems at Berkeley Artificial Intelligence Research (BAIR).\n\nIf you work at a frontier lab and are interested in acquiring environments, or know someone who is, we’d love to chat! ([founders@polymathlabs.ai](mailto:founders@polymathlabs.ai))", "url": "https://www.ycombinator.com/launches/PYT-polymath", "votes": 43, "created_at": "2026-02-26T21:15:33.940Z" } ] }, { "id": 31219, "name": "Voxel Energy", "slug": "voxel-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "website": "https://voxelenergy.com/", "all_locations": "", "long_description": "The best grid connection is no grid connection. Voxel builds vertically integrated energy generation and storage systems for data centers that bypass utility connection delays. \r\n\r\nBy leveraging the vast supply of second-life EV batteries and our novel DC microgrid architecture, Voxel generates datacenter power on site and drastically reduces system cost and time-to-power.", "one_liner": "Energy independent data centers with solar and repurposed batteries. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1768576763, "tags": [ "Hardware", "Solar Power", "Energy", "Renewable Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voxel-energy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/voxel-energy.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/voxel-energy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74fcdd0e430ec52b7926e6bf7ffe4e4cbb1b2571.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/31277/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAODIUI2QA%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022735Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJGMEQCICdQyGY%2BbftNLxtKIYzFPxdUXttuiP0N09%2F%2BUfBHiBuhAiBOSl161zU1GSzXg078adXidT%2BI1mNTN00xIiFabrEuZSrlAwg6EAAaDDAwNjIwMTgxMTA3MiIMkex8rUdJQnYvqkb2KsIDZvHjdb5Nj1eMSDUiIIyyiwfJ8RyPFxer5o1XPlMS8x%2FtN9n%2F7PvS5Wd7oFPHi1qVxZAOUh%2BsJ%2B%2BXOPvWZ3Ae6ZZbt6%2BpSxxIqhHajGvQPEffXaUpP5qEh5zdOBvoNiFOEcL3U5kvAXPdFAeyEQUSC22Zz6qlwEbD4gyjAVIG69Bq2BqpO5gGA142dDrsMk9Fpvvrw4sUrmoFsqVRjQeNNnbJ6kGBUpNWGmGUg9xVdF1g6zjy5AOLq9gaZMWpGvdL2up4UE8tZcCtovhQX7LttuknA2oMDZbhb%2Bm1111BTyQwfpo0mzYMWvLSVFktebdbrXNkCCYHuwzkc%2FAYLLBCHcwr959rGhfijkmBq8zJ6L%2F3m2hFjzDHCnZYPOz0rFWk1O%2FdpaLpo4%2B83owIv8pdLkfxnSwz7jpV83o7ddFuQwi3GyYhgDV9NKraaZUPDf35OffhHBAa9LNH9KBtXE%2B9EJapzAmTZRHX0y1pAaJdqK7NnCs3JXj5MlJbG%2Fk7qe6hMwsDLiNtlbMQ85QzyJJHGU4y3dM2z2PBRjDSvRfVwapQjnLimR6h7fxLZHe1JssWKCLL3Y7dNZqEc8LFx7ZPmRWFMOj92tYGOqYB1OGPMkYIGSgzUnwJVB6Fm37ysfFBg0lS7An85D5284tv08ntQNXM%2B3NjFf0CnSg8DB6Uagn6Pf8Hz0vPosKjbkPeKHdUWICNI6ZBqrBsIZuFlEJamVl3d%2B5M5pi50RkfxaC0jUNRP0kzypvFoXoBWM5zGuVWthjEJhSlwkhKt8FAj4eChg9bDGTNeM9DkgbxKs0YI84QCmRK0pRtLAv0T11YvQ%2FTTg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=e3297b78877aa36e00bdb31ef7277fd0de7b13c1d2e7c8f0309febf74e422dad", "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/81/1774391857-5599085799c002c967a4024cb095b96d/2cc71b783752b0cfe418e57803619e56.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022735Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=1eb4cefdc0a9437fda09f178bd129b61225db68617bb5a23743fe81da3dd8c00", "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1490644, "full_name": "Casey Spencer", "title": "Founder/CEO", "founder_bio": "Casey is an award winning engineer, and was previously Project Manager of Tesla’s Infotainment/Autopilot team, where he oversaw distribution of prototype hardware. Casey played a key role in Tesla’s “production hell” in 2018, leading teams that built ad-hoc assembly lines, then worked on those lines himself, building Model 3’s.", "is_active": true, "linkedin_url": "https://linkedin.com/in/casey-spencer", "x_url": "https://x.com/recnepsyesac", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42c06b9683a76137bd9b3669bab6d83aabe249aa.jpg" }, { "user_id": 2980349, "full_name": "Max Pfeiffer", "title": "Founder/CTO", "founder_bio": "Forbes 30 Under 30 recognized for bootstrapping Maxwell Vehicles, a multi-million-dollar EV manufacturing business founded out of UW ECE following a year at Tesla designing electric big-rig prototypes. Built the first economically sustainable and materially circular model for manufacturing EVs using second-life EV batteries and motors. Now focused on transformational deployment of clean energy technologies in AI energy infrastructure. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxpfeiffer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee8a9bcc82da6416d1f5819281280f190a6e5a48.jpg" }, { "user_id": 2970286, "full_name": "Evan Schmidt", "title": "Founder/COO", "founder_bio": "Evan is a business leader with over a decade of experience in architecture and commercial construction management, including work on data centers. His hands-on engineering and fabrication expertise allow him to integrate innovation with the practical demands of technical construction. Now deploying clean energy technologies to meet the demands of cutting edge computing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zephyrschmidt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cdb6df249a2e64eba137b2e389b49c6eea7c3ffd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97253, "title": "Voxel Energy - Rapidly deployed data centers. Power included.", "tagline": "The best grid connection is no grid connection.", "body": "**TLDR;** [Voxel](http://voxelenergy.com/) is building data centers and power together, speeding new builds from years to months. \n\n**Ask;** If you or someone you know has GPUs and is stuck waiting for power, [we’d love to hear from you! ](https://www.voxelenergy.com/contact)\n\nOur Launch Video:[ https://youtu.be/ONSk5D4-evQ](https://youtu.be/ONSk5D4-evQ)\n\n\\\n**Our Team** \n\nVoxel was founded by ex-Tesla serial entrepreneurs and builders, who have spent the last decade defining the future of American energy consumption. \n\n* [Casey Spencer](https://www.linkedin.com/in/casey-spencer/), CEO, was Project Manager for Tesla Autopilot, and has since founded three hardware companies.\n* [Max Pfeiffer](https://www.linkedin.com/in/maxpfeiffer/), CTO, ex-Tesla, and listed on Forbes 30 Under 30 for founding the EV manufacturer Maxwell Vehicles.\n* [Evan Schmidt](https://www.linkedin.com/in/zephyrschmidt/), COO, years of experience managing millions of dollars of commercial, HVAC, and data center projects.\n\n**Problem** \n\nAI has maxed out the electrical grid. Average data center time to power is five years and growing. **$3 Trillion in data center projects are slated for construction by 2030, yet half may never be built due to power constraints.** Energy prices for everyone, everywhere, are creeping up. **The AI bottleneck isn’t chips - it’s power.**\n\n**Solution** \n\nVoxel Energy is building data centers with on-site solar energy generation, distribution, and storage for **24/7 power in months, not years**.  \n\n* **No Grid Connection Wait** because Voxel doesn’t need agreements with utilities.\n* **Solar at Scale** - we’re deploying hundreds of megawatts to power GPUs.\n* **24/7 Battery Storage** powers compute when the sun is down.\n* **Backup Generation** ensures redundant operation 365 days a year. \n* **Stable Power** with the rapid-response needed to handle dynamic training loads.\n* **Inherent Redundancy** from Voxel’s proprietary DC power distribution system.\n\n**We’ve Already Started**\n\nOur systems prototype is live, operational, and **already running off-grid compute.** Hundreds (Update: Thousands) of acres are already under contract.  And we’re already amassing batteries.\n\n**Now Accepting Reservations** \n\nVoxel is taking reservations for our existing sites. Capacity is limited. [Contact us](https://www.voxelenergy.com/contact) if you’re tired of waiting to power your compute. \n\n![uploaded image](/media/?type=post&id=97253&key=user_uploads/1490644/92dd2438-8663-490b-b01a-c8f97071bbb6)\n\n", "url": "https://www.ycombinator.com/launches/PIb-voxel-energy-rapidly-deployed-data-centers-power-included", "votes": 50, "created_at": "2026-01-28T08:33:47.413Z" } ] }, { "id": 31224, "name": "Servo7", "slug": "servo7", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "website": "https://servo7.com", "all_locations": "Amsterdam, NH, Netherlands", "long_description": "We deploy robots in warehouses to automate the most demanding job in logistics: unloading loose-loaded containers.\r\n\r\nOur customers include 3PLs (CEVA, Stord), distributors (DHL, PostNL) and many more logistics companies.", "one_liner": "Container unloading robots for warehouses", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1769385653, "tags": [ "Robotics", "Logistics", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Netherlands", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/servo7", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/servo7.json", "year_founded": 2025, "city": "Amsterdam", "country": "NL", "linkedin_url": "https://www.linkedin.com/company/servo7", "x_url": "https://x.com/Servo7Robotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0947dcd80dc342c9f938f52c6f4959bc0b1b157.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2067100, "full_name": "Pieter Becking", "title": "Founder/CEO", "founder_bio": "Co-Founder of Servo7: Robots that unload containers in warehouses\n\nPreviously: Deep Reinforcement Learning at Boeing & LLM Engineer & shipped working Hyperloop. Built & sold recruitment tech startup.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pieterbecking/", "x_url": "https://x.com/pieterbecking", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03fe8d0079f7616bfd9b0d8a2186ac2917faf5c.jpg" }, { "user_id": 2827656, "full_name": "Jasper van Leuven", "title": "Founder/CTO", "founder_bio": "Co-Founder of Servo7: Robots that 10x industry workers. Previously: Developed autonomous defence systems and deployed them in Ukraine. Built the first video generation model for autonomous driving before cosmos & sora.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasper-van-leuven-14a3ba1b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a6bca74226ed2b3f26646eab57a36cd13bfade8.jpg" } ], "jobs": [ { "id": 101951, "title": "Founding Hardware Engineer", "url": "https://www.ycombinator.com/companies/servo7/jobs/yPnmJfu-founding-hardware-engineer", "location": "Amsterdam, NH, NL / Amsterdam, North Holland, NL", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97659, "title": "Servo7 - Robots for Industry", "tagline": "Simple and rapidly deployed robots for industry work", "body": "Hey everyone, we’re [@Jasper](https://bookface.ycombinator.com/user/2827656) and [@Pieter](https://bookface.ycombinator.com/user/2067100), co-founders of [@Servo7](https://bookface.ycombinator.com/company/31224). We build simple and rapidly deployed robots for industry work.\n\n**TL;DR**\n\nToday, implementing robotics means redesigning your entire facility around a robot. This is inefficient and unnecessary. With Servo7, you don’t have to do any of that. Our robots adapt to your environment.\n\n\n\n**Problem**\n\nCurrently, industry robots are rigid single-purpose machines. Complete floor plans are redesigned around a single robot. As a result, the installation process is complex and inefficient.\n\nThis discourages many businesses from pursuing automation at all. That’s a missed opportunity.\n\n**Solution**\n\nInstead of adjusting the floorplan, redesigning the conveyor belts, and the outflow, our robots just work in the existing process.\n\nWe’re using AI models to train wheeled humanoids and robot arms. Once the robots are implemented, they’ll keep learning on the job: performing the tasks faster to increase throughput. The implementation of our robots is much faster and easier.\n\n![uploaded image](/media/?type=post&id=97659&key=user_uploads/2067100/e4f3ba51-26b4-4115-8b48-01502d7b9b6d)\n\n**How we got here**\n\nWe have been deploying robots and automating repetitive work for years, even in highly regulated industries like the military and hospitals. But, we also know the slow pain of traditional control methods. So we turned to AI to control robots, and found a much better way. Instead of pre-programming every possible movement, we put the robot to work with just a few demonstrations. We quit our jobs that same day to start Servo7.\n\nToday, we’re working with warehouses and CPG brands to automate their fulfillment.\n\n**Ask**\n\nIf you’re working in logistics, assembly, or manufacturing, our robots can help you improve your operations!\n\nReach out to us at [founders@servo7.com](mailto:founders@servo7.com) to chat. Cheers!", "url": "https://www.ycombinator.com/launches/PP9-servo7-robots-for-industry", "votes": 26, "created_at": "2026-02-09T17:41:22.358Z" } ] }, { "id": 31225, "name": "Ditto Biosciences", "slug": "ditto-biosciences", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d5b227bb99dde80a75d7008740db6747b12af69.png", "website": "https://www.dittobio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies.\r\n\r\nOur team is three PhD scientists from UCSF, UCSD, and UC Berkeley who have worked together for 3+ years in biotech. We have deep expertise in parasite biology, computational biology, and software for AI-based protein structure prediction", "one_liner": "Evolutionary intelligence for autoimmune disease", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1770234545, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "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/ditto-biosciences", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ditto-biosciences.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/dittobio", "x_url": "https://x.com/dittobio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d5b227bb99dde80a75d7008740db6747b12af69.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2915094, "full_name": "Dennis Sun", "title": "Founder/CEO", "founder_bio": "Scientist and operator transforming natural proteins into therapies.\n\nTrained in evolutionary and developmental biology at Harvard (AB) and UC Berkeley (PhD). Previously led software teams, product development, and scientific partnerships as Chief of Staff at a $500M biotech. Now building a platform to mine proteins from viruses, ticks, and worms that will become the next blockbuster drugs for autoimmune disease.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dennis-sun-57740532/", "x_url": "https://x.com/mezarque", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e21137f5ba86792982fc00ecc39f47c0227b44f.jpg" }, { "user_id": 2878238, "full_name": "Adair Borges", "title": "Founder", "founder_bio": "Entrepreneurial scientist using evolution to build the next generation of therapeutics for autoimmune disease.\n\nUCSF-trained PhD with expertise spanning parasitology, virology, and genomics. Published over 50 scientific papers, and is a coinventor on a patent for anti-CRISPR proteins. Former Miller Fellow at UC Berkeley, and previously led a venture creation team at an early stage biotech company. Motivated by a lifelong fascination with parasites.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adair-borges-phd-729857222/", "x_url": "https://x.com/AdairLBorges", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98a05cbf8d8580bd5412fb6f3b531fce7bedc579.jpg" }, { "user_id": 2929585, "full_name": "Emily Weiss", "title": "Founder", "founder_bio": "I'm a molecular and computational biologist working to revolutionize drug discovery for autoimmune disease. At Ditto, I lead the platform for engineering parasite-derived therapeutics.\n\nI hold a PhD in microbiology, genomics, and plant genetics, with a focus on sequencing, high-throughput screening, and computational pipeline development. Published in Nature Microbiology and eLife. Previously at Illumina, DuPont, and an early-stage biotech venture team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emily-weiss-939559124", "x_url": "https://x.com/emilycpierce", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d41f67a5440c5e508182624495024d2db978c018.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97563, "title": "Ditto Bio – Evolutionary therapies for autoimmune disease", "tagline": "We discover new drugs by harnessing parasite biology", "body": "We're [Adair Borges](https://www.linkedin.com/in/adair-borges-phd-729857222/), [Dennis Sun](https://www.linkedin.com/in/dennis-a-sun/), and [Emily Weiss](https://www.linkedin.com/in/emily-weiss-phd-939559124/), the founders of [Ditto Bio](https://www.ycombinator.com/companies/ditto-biosciences).\n\n**We believe the world's best immunologists live inside of you.** \n\nTLDR; We transform parasite strategies for hacking the immune system into breakthrough drugs for autoimmune disease.\n\nViruses, ticks, and worms are the natural enemies of the human immune system. Over millions of years of experimentation, they've developed extraordinarily effective molecules to prevent your immune system from attacking them. This makes their proteins ideal drug candidates for autoimmune diseases, where a hyperactive immune system attacks the body's own tissues. We're mining the genomes of these organisms to translate these naturally occurring drugs into novel therapies.\\\n\\\n\n\n**The Problem**\n\n90% of drugs fail in clinical trials, when they are tested in humans for the first time. These failures come after companies invest 3-5 years and $15-20M “derisking” drugs in cells and mice. Everyone knows that cells and mice aren’t people, but without a smarter strategy, billions of dollars will continue to be wasted making drugs that will never reach patients.\n\n**Our Approach**\n\nWe start with molecules that _already work_ in humans. Parasites have been running experiments on people for millions of years, creating powerful molecules to control the human immune system. Our AI platform identifies drug-like proteins from these organisms at scale, which we then engineer into safe, effective therapeutics.\n\n**The Best Drugs Come from Nature**\n\nAspirin, penicillin, Botox, and GLP-1 agonists like Ozempic and Wegovy all originated as molecules from other organisms: aspirin from willow bark, penicillin from mold, and GLP-1 agonists from Gila monster venom. We're establishing parasites as the next transformative source of therapeutics.\n\n**Our Team**\n\nWe’re three PhD scientists trained at top institutions (Harvard, Berkeley, UCSF, UCSD) with 40+ years of experience in computational biology, host-parasite interactions, and evolution. We worked together for 3 years as early scientists at another startup before founding Ditto.\n\n![uploaded image](/media/?type=post&id=97563&key=user_uploads/2915094/304ef78d-d58a-499d-9ada-63096be7fb40)\n\n**Our Data Moat**\n\nSince founding seven months ago, we've analyzed 1M+ proteins across primate-infecting viruses, ticks, and parasitic worms. We've discovered thousands of proteins predicted to hit clinically validated human targets. Early experiments show that we have surfaced an untapped source of new drugs that act on high-value targets for immune diseases. Our proteins can achieve extremely tight binding (1–2 nM), among other drug-like properties.\n\nWe’re also building a tissue biobank that lets us map real-world immune memory to parasite proteins. This approach gives us a major advantage in tackling one of the biggest barriers facing all novel protein therapeutics: predicting and designing around immunogenicity.\n\nThe opportunity is vast: >98% of viral and parasite proteins remain uncharacterized. We're systematically mining this unexplored biology at scale to find and deploy nature’s best drugs.\n\n**Our Ask**\n\nIf you’re an industry immunologist, biologics drug developer, or protein designer, please reach out at [founders@dittobio.com](mailto:founders@dittobio.com) to learn where our novel targets, natural scaffolds, and immunogenicity assays could make a difference for your drug programs.", "url": "https://www.ycombinator.com/launches/PNb-ditto-bio-evolutionary-therapies-for-autoimmune-disease", "votes": 161, "created_at": "2026-02-06T01:06:05.580Z" } ] }, { "id": 31227, "name": "Sequence Markets", "slug": "sequence-markets", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/80a96ab006079967d4861f55c708c029f8a76a6f.png", "website": "https://sequencemkts.com/", "all_locations": "Toronto, ON, Canada", "long_description": "Sequence Markets lets traders execute across crypto exchanges, prediction markets, and tokenized-asset venues from one system.\r\n\r\nWe built proprietary low-latency infrastructure and routing software so users can package one market view into one trade with the speed, access, and transparency execution requires.", "one_liner": "Low-latency execution across crypto, prediction, and tokenized assets", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1767826402, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "In August 2025, we had a macro view we wanted to express across multiple digital markets at once.\r\n\r\nThat meant a prediction-market leg on the catalyst, onchain exposure in the rails we thought would benefit, tokenized-asset exposure where it fit, and liquidity sourced through the best venue available. Instead of one system, we had to manually stitch together venues, APIs, chains, contracts, and liquidity sources. That process was fragmented, slow, and exhausting.\r\n\r\nSequence came from that frustration. We built it so users can take one market view and turn it into one trade." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We had already hacked together terminal workflows to trade different views, but when we wanted one system that could connect us across every market we cared about, it simply did not exist.\r\n\r\nEverything was siloed. The products we found were either built only for TradFi, only for crypto, only for prediction markets, or only for tokenized assets. None of them let us express one market view across all of those markets in one place.\r\n\r\nThat was the gap we decided to solve. Sequence Markets is the system we wanted to use ourselves: one place to turn one market view into one trade across fragmented digital markets." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Digital markets are fragmented across exchanges, onchain venues, spot markets, perps, prediction markets, and tokenized assets.\r\n\r\nTo put on one trade today, users still have to jump between separate venues and workflows by hand, use trading platforms that do not provide the programmatic access or control they need, or rely on dealer-style workflows with little transparency.\r\n\r\nThat leads to worse execution, more operational drag, and less visibility into what actually happened. We decided to work on it because we ran into that problem directly.\r\n\r\nIf users are going to express one market view across fragmented markets, they cannot be bottlenecked by execution. In execution, speed, access, and transparency matter. That is what Sequence provides." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Crypto is just the beginning. More and more markets are getting added into the same digital market stack, but the infrastructure connecting them is still fragmented.\r\n\r\nWhen Sequence succeeds, users will not have to think venue by venue, chain by chain, or contract by contract. They will express one market view, and the system will turn it into the best executable path across crypto, prediction markets, and tokenized assets.\r\n\r\nIf your intent is to do something in a market, you should be able to do it." } ], "url": "https://www.ycombinator.com/companies/sequence-markets", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sequence-markets.json", "year_founded": 2026, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/sequence-markets", "x_url": "https://x.com/sequencemarkets", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sequence-markets", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/80a96ab006079967d4861f55c708c029f8a76a6f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0080c2a816798106940f03f8ac9d01dc22a6793f.png" ], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 3183596, "full_name": "Peter Bai", "title": "Founder/CEO", "founder_bio": "I LOVE MARKETS RAHHHH\n\nGrew up around exchange infrastructure, got hired by the Toronto Stock Exchange at 17, and joined a $13B fund's trading team a year later. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peter-bai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1699cc49e60bb5d5d722c78b2cb4b58479c99dee.jpg" }, { "user_id": 2660299, "full_name": "Muhammad Awan", "title": "Founder/CTO", "founder_bio": "Former founding engineer at Boardy AI, and earlier worked on radar, sonar, and industrial ML at UTEX, including defect-detection technology for Boeing and SpaceX hardware. Now building Sequence Markets, unified execution infrastructure for digital asset markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/muhammad-awan0", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22cafd1f1365c15ac9b7aa40cfde843c3bad4a86.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98437, "title": "Sequence Markets: trade across exchanges, prediction markets, and tokenized venues from one system", "tagline": "Low-latency trading infrastructure for fragmented digital markets", "body": "Hey everyone 🚀\n\nWe're Muhammad & Peter - co-founders of Sequence Markets.\n\n**TL;DR**\n\nMarkets are becoming more fragmented than ever. New exchanges, new venues, new markets, and new contracts keep appearing every day. Finding the best price is hard enough. Expressing one trade across all of them is even harder.\n\nSequence lets users package one market view into one trade from one system. Under the hood, we built proprietary low-latency infrastructure, routing software, and venue connectivity so users get the speed, access, and transparency execution requires.\n\n**Our Launch Video:** \n\n❌ **The problem**\n\nExecution is still fragmented across exchanges, onchain venues, spot markets, perps, prediction markets, and tokenized assets.\n\nThat means:\n\n* Hopping between venues to find the best execution path\n* Managing hedge legs and risk across separate systems\n* Stitching together APIs, wallets, dashboards, and workflows by hand\n* Poor visibility into what actually happened after the trade\n\nThe result is worse execution, more operational drag, and less control.\n\n🐂 **The solution**\n\n**What Sequence enables:**\n\n* Package one market view into one trade\n* Route across fragmented venues from one system\n* Manage hedge legs and risk in one workflow\n* Track execution reporting and improve fill quality over time\n* Run via terminal + API + SDK / MCP for humans, algos, and agent workflows\n\n**What makes this possible:**\n\nUnder the hood, we built proprietary low-latency infrastructure, routing software, and venue connectivity. On benchmark routes, our network is up to 2.5x faster than public-internet paths, and our internal latency is roughly 2 microseconds. That lets us support even latency-sensitive users like market makers, so the bottleneck is not our system.\n\nInternal benchmark tests also show meaningful improvements in execution quality, including lower slippage and lower execution drag versus public-internet routing on benchmarked paths.\n\nWe are starting with crypto, where the pain is already real, and extending the same system across prediction markets and tokenized assets over time.\n\n**Early proof:**\n\n* 150+ signups in the first week after launch\n* $104B in reported trading volume across the signup base\n* Over $10M in test volume completed on the platform in 2 weeks\n\n**The ask**\n\nWe're onboarding early users and would love intros to:\n\n* Funds, market makers, and active trading teams\n* Prosumers and investors trading across multiple venues\n* Builders and anyone who wants to trade through AI agents, API, SDK, or MCP workflows\n\n**Links**\n\n**Website:** \n\n**Contact:** [founders@sequencemkts.com](mailto:founders@sequencemkts.com)\n\n**Book a product call:** \n\n**Team**\n\nMuhammad is a Waterloo engineer and former founding engineer at a unicorn who builds the low-level systems behind Sequence.\n\nPeter was hired by the Toronto Stock Exchange at 17 and joined a $13B fund's trading team a year later.\n\n![uploaded image](/media/?type=post&id=98437&key=user_uploads/3183596/8fbee4c0-495b-498e-9127-d04e15405ac6)\n\n", "url": "https://www.ycombinator.com/launches/Pbh-sequence-markets-trade-across-exchanges-prediction-markets-and-tokenized-venues-from-one-system", "votes": 107, "created_at": "2026-03-04T22:03:13.711Z" } ] }, { "id": 31229, "name": "Doomersion", "slug": "doomersion", "former_names": [ "Doomlingo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd5beb54b527aceb2fa55f69dfdd0cfd0ef4ba5.png", "website": "https://doomersion.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Doomersion (formerly Doomlingo) lets you learn languages by doomsrolling! Watch TikToks in your target language that are exactly matched to your level, and as you scroll, they get a little bit harder.\r\n\r\nGen-Z doomscrolls 2.5-3 hours a day, and if we bake immersion into that by only showing them viral videos in another language that are matched to their level, we can make the optimal language learning method addictive for people. Hence the name, doomersion.\r\n\r\nThe app gained ~15k downloads in the first two weeks, and power users spend ~3+ hours daily on the app. Feel free to download and try it yourself!", "one_liner": "Doomscroll to learn languages", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1771974925, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The idea came after Mostafa spent 6 years self-studying Japanese by watching YouTube. He went deep into language learning communities and even had the most liked post in a 2 year period on r/LearnJapanese, the biggest language learning subreddit. He found that there's no app that is both fun and educational. Apps like Duolingo are fun, but there is mass frustration with them being ineffective for actual learning. The best method to language learning is immersion, or listening to native content, but that gets really boring if you don't understand any of it. \\\r\n\\\r\nInitially, he spent a year building a language learning app that let you immerse by talking to your favorite characters in other languages, like SpongeBob, Spider-Man, etc., but found that people didn’t inherently enjoy talking to AI on a day to day basis.\\\r\n\\\r\nSo how to make immersion fun? Combine it with what Gen-Z DOES want to do on a daily basis: doomscrolling. And that’s how doomersion was born!" } ], "url": "https://www.ycombinator.com/companies/doomersion", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/doomersion.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3fd5beb54b527aceb2fa55f69dfdd0cfd0ef4ba5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 898967, "full_name": "Mostafa Afr", "title": "Founder/CEO", "founder_bio": "Mo with the Fro, trying to revolutionize language learning. Penn M&T '25, 65k+ followers on social media. Japanese language learner. Former professional gamer. 3rd place Pokemon Video Game World Championships 2016. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mostafa-afr-3b4012252/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe46976058d2bf4e2fde1c209bca86d30c585824.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98644, "title": "Doomersion - Learn Languages by Doomscrolling", "tagline": "Basically learn languages by being lazy", "body": "Doomersion lets you learn languages by doomscrolling in them! It shows you short videos in your target language that are exactly matched to your level, and then as you scroll they get progressively harder.\n\n\n\nThere’s no language learning app that’s fun enough to spend hours a day on while still being educational. Gen Z doomscrolls an average of 2.5-3 hours a day. As it turns out, the optimal strategy for language learning is immersion with spaced repetition, and by baking immersion into the doomscrolling algorithm, Doomersion makes it fun to learn languages.\\\n\\\nI’d really appreciate it if you guys could download Doomersion and give it a try!\n\nApp Store:\n\nPlay Store: ", "url": "https://www.ycombinator.com/launches/Pf2-doomersion-learn-languages-by-doomscrolling", "votes": 12, "created_at": "2026-03-09T23:47:35.430Z" } ] }, { "id": 31230, "name": "o11", "slug": "o11", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/34cf69944142b4ae981a790f75fe9293d52369a2.png", "website": "https://o11.ai", "all_locations": "San Francisco, CA, USA", "long_description": "o11 helps your AI agents access apis, tools, and other paid goods and services. Instead of hacky computer use, managing credit card permissions, assigning each agent a new email, we handle all the hard parts of accessing the paid web. o11 has zero markup and gives teams better prices, easy checkout, and full auditability when purchasing with AI agents. \r\n\r\nThe o11 wallet gives your AI agents access to the paid world.\r\n", "one_liner": "OpenRouter wallet for paid goods and services", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1765258468, "tags": [ "Developer Tools", "Fintech", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/o11", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/o11.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/o11-ai", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/o11", "github_url": "https://github.com/o11-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/34cf69944142b4ae981a790f75fe9293d52369a2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/be121957e7216ee5cfda707070014fa9aab651ae.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a242bbfa82c440fc7b44b645a77fa2bb9fe4bbad.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1788479, "full_name": "Aryah Oztanir", "title": "Founder/CEO", "founder_bio": "oztanir.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryah-oztanir/", "x_url": "https://x.com/aryah_oztanir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b2ef4233118d66cd69790679b7826575911d06e.jpg" }, { "user_id": 1862203, "full_name": "Ajay Misra", "title": "Founder", "founder_bio": "Co-founder of o11. Enjoys training models. \n\najaymisra.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajay-misra/", "x_url": "https://x.com/ajaymisraaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7bec50a83fc1da1284ed2c3f271e8cdc6d8d83c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98341, "title": "o11: The AI Agent Inside of Every Enterprise App", "tagline": "We embed agents into every legacy application to automate them", "body": "Hey YC - We’re [Aryah Oztanir](https://www.linkedin.com/in/aryah-oztanir/) and [Ajay Misra](https://www.linkedin.com/in/ajay-misra/), the co-founders of [o11.ai](http://o11.ai).\n\n\\\nTL;DR - AI in legacy tools (e.g. Copilot, Gemini in Workspace, etc…) sucks. We built o11 to make automation directly inside legacy tools easy.\n\n# See us in action (demo vid):\n\n\n\n# The Problem:\n\n62% of all companies still rely on legacy software and systems. Many of these systems are manual, outdated, and inefficient. In the age of AI, the legacy giants that create this software aim to “duct tape” AI onto their tools – but what they end up with is a **mangled mess that can’t actually do anything useful (Microsoft Copilot, Google Gemini, the generic useless “AI” sidebar in every application).** Enterprises and consumers need a way to automate work directly inside of the tools they are familiar with – \\*\\*their solution is o11.\\*\\*\\\n\\\nStarting with **the entire Google & Microsoft Suite,** we’ve enabled hundreds of companies to automate presentation / spreadsheet / document generation directly within their workflow. Teams that use us no longer need to move from app to app or deal with agents that merely “provide insights.” Now they can actually do things in these tools, and do them **fast.**\n\n# Start today:\n\nTry o11 for Free in Google Workspace and Microsoft 365 at . Book a demo at \n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a4f8871-f9de-4f49-9758-39a582173ea4)\n\n# \n\n# How did we come up with this?\n\nBefore we dropped out of UNC we were surrounded by finance students who all faced similar problems at their internships over the summer: Legacy software, no AI, and tons of grunt work. Most existing finance solutions thought the best way to provide workflow value was to build an external dashboard. But after speaking to hundreds of finance professionals we realized that teams don’t want an external solution, they require something that is directly within their workflow. So, we started by building a Microsoft PowerPoint plugin. Soon, financial teams started asking us for more, and we then introduced o11 For Excel and o11 For Word. But, why confine ourselves to Microsoft only? Teams that we worked with and spoke to all wanted integrations with the full G Workspace suite, and soon we built it for them in Google Slides, Docs, and Sheets. **We’re not stopping there though – while these productivity suites are a large part of our user’s workflows, their workflows aren’t just confined to these tools.**\n\n# Where does this go?\n\nOur users use thousands of enterprise legacy apps that need automation, not duct-taped AI. That’s why, the product we’re soon going to release will enable you to use o11 in any app — **it’s going to enable you** **to automate directly inside any workflow.**\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/8296e217-4385-4f12-a50d-cebffe7b974d)\n\n![uploaded image](/media/?type=post&id=98341&key=user_uploads/1788479/2a8ae383-97a2-41e9-8f95-66e9368a4230)\n\n", "url": "https://www.ycombinator.com/launches/Pa9-o11-the-ai-agent-inside-of-every-enterprise-app", "votes": 10, "created_at": "2026-03-02T18:19:12.551Z" } ] }, { "id": 31231, "name": "Anchorhead", "slug": "anchorhead", "former_names": [ "Willow", "Glue" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b4d1a0f867d8f5d24359da3d4d5fca3fbbabe57.png", "website": "https://www.anchorhead.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We build custom evals for product teams, as a service. To build these eval sets, we source domain experts and have them turn their work into original, real world evals.\r\n\r\nFor example, our research engineering experts have create tasks involving optimizing an algorithm, deploying a model, or running experiments to solve a novel problem. A grader scores the agent’s performance, and these scores serve as signals during evaluations.", "one_liner": "Evals for frontier research agents", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1772831162, "tags": [ "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/anchorhead", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/anchorhead.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b4d1a0f867d8f5d24359da3d4d5fca3fbbabe57.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": 965938, "full_name": "Perbhat Kumar", "title": "Founder/CEO", "founder_bio": "ceo at Anchorhead. prev engineer at Amazon and Microsoft. worked on a home launcher redesign for Kindle Fire, and built enterprise-scale rag agents at Microsoft Copilot Studio", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/perbhat", "x_url": "https://www.x.com/perbhatk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ca329a4553dab624f6d6ee0231989b751799739.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31232, "name": "Remy AI", "slug": "remy-ai", "former_names": [ "Bright Eyed Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.png", "website": "https://www.tryremy.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building robots and training models for automating manipulation in warehouse, starting with e-commerce 3PLs", "one_liner": "Automating dexterous tasks in warehouses with AI-powered robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1770934019, "tags": [ "Robotics", "Logistics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/remy-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/remy-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/remy-ai-2025", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94f9d60cdf58d3c7fc724152a315ad834ec78eec.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": 1182398, "full_name": "Oscar Brisset", "title": "Founder/CEO", "founder_bio": "Oxford, AI Engineer at BCG X, now working on end-to-end learning for robotics ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscarbrisset/", "x_url": "https://x.com/oscar__2025", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc84e0375af73a1add39a9246fee99dc88fe7766.jpg" }, { "user_id": 3174376, "full_name": "Ben Kaye", "title": "Founder/CTO", "founder_bio": "Oxford engineering '22 and PhD tbd. Expertise in Spatial AI", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ben-kaye-0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/86a40536614763d9bfb931829495fdc91289e407.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97934, "title": "🤖📦 Remy AI - Dexterous robots for e-commerce 3PLs", "tagline": "Existing automation options for 3PLs are expensive and inflexible. We're building robots to change that.", "body": "Hi YC ! We’re Oscar and Ben and we’re building Remy AI.\n\n**TL;DR:** we're bringing the robotics revolution to the little guy by building AI-powered robots for e-commerce 3PLs.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/680c2630-17bb-498d-b1d1-1ad64cf55623)\n\n**⚠️The problem**\n\nWarehousing to this day remains highly manual. Whether it’s for inbound receiving, picking, or even truck loading, **more than 80% of warehouses in the US** have little to no automation.\n\n**E-commerce 3PLs** in particular suffer from this. Unlike large retailers or shippers, their inventory mix and volumes are **highly variable**, given their smaller size and greater exposure to e-commerce trends. Their contracts renew on an annual basis, their customers regularly go out of business, and the brands they work with frequently release new products.\n\nMost of the automation out there is designed for the big players. Stacker cranes, 2D/3D shuttles, or even more recently AMR-based systems - these all only make sense to invest in above a certain scale and predictability.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/487a824f-d1aa-4c7b-942e-add0a872b111)\n\nWhat _80% of 3PLs look like: rows of shelves of plastic totes and cardboard boxes with at best a couple conveyors._\n\n**Why is automation so limited?** Because existing solutions are expensive ($100-150K incl. solution + installation + servicing), bulky, and inflexible. They’re usually some mechanical system + a PLC that perform one rigid task repetitively with little to no room for customisation beyond some initial configurations. As a result, most 3PLs aren’t able to leverage these and stick to manual options.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/d87e20be-7be0-4950-a13c-1ea2671ad916)\n\n_Current automated packing stations: rigid mechanical systems with limited adaptability_\n\nYet this long tail of 3PLs is huge: \n\n* 70K 3PLs in the US\n* $1.2 trillion global market size\n* Growing at +8% per year given relentless rise of e-commerce\n\n**✅ The solution**\n\n**Remy AI is building flexible automation for e-commerce 3PLs.**\n\nWe deploy a robotic system that:\n\n* Adapts to new SKUs **without needing to be re-trained or re-programmed**\n* Can be dropped into **existing work stations** with minimal modifications\n* Can perform **dexterous tasks** that existing robots struggle with\n\nWe leverage a versatile bi-manual mobile platform which allows our system to be deployed on a **wide range of tasks**:\n\n* Mobile picking\n* Packing stations\n* Kitting\n* Receiving\n* …\n\nAnd crucially, we do this at a **50% lower cost** than existing solutions, by replacing mechanical complexity with intelligence.\n\n\n\n**🧠 How do we achieve this?**\n\nRecent developments in ML & robotics have made it possible to bring a human level of adaptability to robots. Whereas before you’d have to use a deterministic pipeline that would map specific object morphologies to pre-determined grasps, large pre-trained robotics & vision models now enable robots to generate trajectories and grasps by themselves, adapting in real-time to changing environments.\n\nCombined with recent advances in simulation and robot learning, we’re able to deploy highly customised systems by taking just a couple photos of the customer’s environment, generating that environment in simulation, to then fine-tune our robot to that specific deployment. Supplementing this with real world data captured at the customer’s site + a rigorous domain randomisation pipeline + our own error recovery algorithms, we’re able to deploy systems with production-grade reliability in days not months.\n\n**🤝🧑‍💻Our team**\n\nWe’ve been working in this problem space for several years. We met 7 years ago when we were both undergrads at Oxford.\n\n![uploaded image](/media/?type=post&id=97934&key=user_uploads/1182398/a0d166e5-4cb6-4a5b-8579-89f74288a061)\n\n**Oscar (CEO)** - AI engineer at BCGX, built ML infra for Fortune 500s, data engineer previously\n\n**Ben (CTO)** - PhD ML Oxford, embedded systems patent pending, robotics masters\n\n**Ask**\n\nWe’d love to chat to more e-commerce 3PLs and brands that handle their own warehouses. Reach out to us at [founders@tryremy.ai](mailto:founders@tryremy.ai). Thanks!", "url": "https://www.ycombinator.com/launches/PTa-remy-ai-dexterous-robots-for-e-commerce-3pls", "votes": 14, "created_at": "2026-02-18T17:21:02.655Z" } ] }, { "id": 31233, "name": "Chasi", "slug": "chasi", "former_names": [ "Chasi AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/976e66b565b5dad1eea4d546fd3c9cc6720f078b.png", "website": "https://chasi.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Chasi deploys AI agents that help equipment dealers sell more, respond faster, and maximize fleet utilization - 24/7.\r\n\r\nOne-third of the cost to build and maintain the physical world goes to equipment, yet fleet utilization across the industry often sits below 60%. Billions in assets sit idle while dealers drown in phone calls, emails, and manual data entry. Missed quotes, slow follow-ups, and disconnected systems mean lost revenue every day.\r\n\r\nChasi plugs into a dealer's existing stack to deploy AI agents that handle sales, rentals, and service requests around the clock. The result: faster response times, higher utilization, and stronger margins, without adding headcount. We automate the busywork so teams can focus on what actually grows the business: customer relationships.\r\n\r\nAkash Pavan and Sarman Aulakh have built tractors, race cars, and robots, and previously led AI deployments at Tesla, Boeing, and Cummins, where they saw firsthand how much operational value gets left on the table in equipment-heavy industries. Chasi is live across equipment businesses in the US and Europe. ", "one_liner": "AI Revenue Engine for the Equipment Industry ", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1765343151, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we truly succeed, Chasi becomes the infrastructure layer for industrial commerce. AI agents, with human oversight, coordinate equipment, effectively match demand with supply, parts, payments, credit, and insurance across the industrial value chain. Chasi will be the clearing and coordination layer across OEMs, distributors, and marketplaces (Similar to Amadeus in the Travel Industry and Plaid in Financial Services)\r\n\r\nHistory shows that when you remove friction and improve the flow of goods and information (roads, railways, the internet, etc.), everything gets cheaper and more productive. By giving businesses broader, easier access to equipment, with higher utilization, less downtime, and faster access to the latest machines across agriculture, construction, energy, logistics, and more, we can expand global productive capacity and further lower the real cost of everyday essentials: food, housing, transportation, and energy." } ], "url": "https://www.ycombinator.com/companies/chasi", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/chasi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/chasi-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/976e66b565b5dad1eea4d546fd3c9cc6720f078b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 553457, "full_name": "Akash Pavan", "title": "Founder/CEO", "founder_bio": "CEO at Chasi. Ex-Founding team/GM at Axion (pre-seed to Series B - Backed by Bessemer, Salesforce). Led AI deployments at Cummins, Harley Davidson, Denso & F500 Industrials. Built race cars, robots, tractors, and complex industrial automation systems. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/akashpavan", "x_url": "https://x.com/akashpavan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cc71a66e7f66c341fe86c994da1f0ce348fbde0.jpg" }, { "user_id": 1096275, "full_name": "Sarman Aulakh", "title": "Founder/CTO", "founder_bio": "CTO at Chasi. CS @ Waterloo. 2× founding engineer, previously built internal supply chain orchestration software at Tesla, rewards management platform and a VR startup", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sarmanaulakh/", "x_url": "https://x.com/sarmanaulakh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27f0bfe4029ff598c6bd7668467cc016d55803b7.jpg" } ], "jobs": [ { "id": 93257, "title": "Founding GTM ", "url": "https://www.ycombinator.com/companies/chasi/jobs/1s5N2yC-founding-gtm", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $140K", "equity_range": "0.10% - 0.15%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93258, "title": "Open Application", "url": "https://www.ycombinator.com/companies/chasi/jobs/RKWtWvv-open-application", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "", "visa": "US citizen/visa only", "skills": [] }, { "id": 93259, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/chasi/jobs/VLTx71b-founding-engineer", "location": "San Francisco, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $170K", "equity_range": "0.40% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "React Native", "TypeScript", "Next.js" ] }, { "id": 109470, "title": "Founding Deployment Lead", "url": "https://www.ycombinator.com/companies/chasi/jobs/r9h3IuO-founding-deployment-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $160K", "equity_range": "0.15% - 0.40%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97881, "title": "Chasi: AI Revenue Engine for the Equipment Industry", "tagline": "Agents that work 24/7 to sell, rent & service equipment to maximize utilization ", "body": "**TL;DR:** Chasi deploys AI agents that work 24/7 to help equipment dealers respond faster, sell more, and maximize fleet utilization.\n\nHey all! We're[ @Akash Pavan](https://www.linkedin.com/in/akashpavan/) and[ @Sarman Aulakh](https://www.linkedin.com/in/sarmanaulakh/) from Chasi.\n\nWe have built race cars, robots, tractors, and led AI deployments at F500 manufacturers like Tesla, Cummins, and Boeing. Now we're bringing AI to the $1T+ equipment distribution industry.\n\n\n\n**Ask**: If you work or know anyone in the equipment industry, introduce us! [founders@chasi.co](mailto:founders@chasi.co)\n\n**⚙️Problem**\n\nOne-third of the cost to build, move, and maintain the physical world goes to equipment (forklifts, cranes, excavators, etc), with trillions of dollars flowing through 100K+ dealers, distributors, and rental companies in the US alone. And that share is growing every year as machines get more capable and autonomous.\n\nThere are three core problems in the industry  \n\n* **$300B value lost in idle equipment** - Fleet utilization sits below 60%. One missed request or scheduling breakdown can leave a $200K asset earning nothing for weeks, wiping out months of margin.\n* **Software that creates work instead of eliminating it** - Dealers spend millions on DMS, ERP, and CRM systems that don't talk to each other. 50% of staff spend 2+ hours every day on phone calls, emails, and data entry. \n* **Tribal knowledge is the operating system** - Customer history, availability, who to call - it all lives in a few people's heads or offline notes. When they're off the clock, on vacation, or retired, the business stalls. New hires take months to ramp up, and after-hours demand goes unanswered.\n\n**🤖 Solution**\n\nChasi plugs AI agents into a dealer's existing stack to work around the clock, maximizing revenue and margins:\n\n* **24/7 AI Workforce** - Chasi handles requests across sales, rentals, and service around the clock. Checks availability, generates quotes, and automates renewals, service follow-ups, and dispatch, so teams can focus on relationships, not busywork.\n* **Revenue Intelligence** - Chasi pulls context from existing systems to build a complete picture of every asset, customer, and branch. Recommends what to add, remove, or reposition across locations to maximize utilization and profitability.\n* **Proactive Market Intelligence** - Chasi also tracks which customers are spending more vs. less, scans permits and public filings, and pulls in hundreds of public data sources to surface opportunities before competitors do.\n\n**Our Mission**  \n\nThe true promise of AI is to create abundance. In the physical world, abundance translates to the capacity to build, move, and maintain the civilization around us. At the core of this capacity is **equipment**.\n\n![uploaded image](/media/?type=post&id=97881&key=user_uploads/553457/976d6301-05bf-4fdf-90f2-7dfccdbaccd5)\n\nChasi's mission is to build the agentic infrastructure layer for industrial commerce. History shows that when you remove friction and improve the flow of goods and information (roads, railways, the internet), everything gets cheaper and more productive. Chasi will enable the next AI leap for global abundance.", "url": "https://www.ycombinator.com/launches/PSj-chasi-ai-revenue-engine-for-the-equipment-industry", "votes": 33, "created_at": "2026-02-17T00:58:27.549Z" } ] }, { "id": 31236, "name": "Balance", "slug": "getbalance", "former_names": [ "Balance", "Balance AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ea7352fed58904bc7cc1f143d4af52e98a52d64.png", "website": "https://getbalance.ai", "all_locations": "London, England, United Kingdom", "long_description": "Balance is an AI accounting firm that helps SMBs close their monthly books. Our agents do the work of an in-house finance hire, reconciling books in real time and flagging issues before they become problems.", "one_liner": "Full-Stack AI Accounting", "team_size": 20, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1768976472, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/getbalance", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/getbalance.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/getbalanceai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ea7352fed58904bc7cc1f143d4af52e98a52d64.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": 1315399, "full_name": "Mathias Løvring", "title": "Founder/CEO", "founder_bio": "Mathias is the Co-Founder & CEO of Balance (W26).\nHe's a former founder, CFO and operator.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathias-lovring/", "x_url": "https://x.com/mathiaslovring", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f71480df0c801d8456db9eccaf292e134e86a1fe.jpg" }, { "user_id": 3197691, "full_name": "Gus Levinson", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO at Balance. Maths + AI research at Imperial & Oxford. Built AI products at 3 startups across legal, education, and accounting. Founded Carlie's Crossing, tuk-tuk race across Sri Lanka raising $100k for mental health in memory of a childhood friend. Ex jockey: competed at Cheltenham Festival and over Grand National jumps.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gus-levinson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6176af38fe4d4aa9c3d903a8e1a21a93cc2eb05d.jpg" }, { "user_id": 2342832, "full_name": "Emil Munk", "title": "Founder", "founder_bio": "Emil is a Co-founder of Balance (W26). \nPreviously worked in Product in Encord (W21) as a Founders Associate at Kapa (S23) & at McKinsey & Company. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emil-munk/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ba022d5b31e9c2e065a9db9b00d6748ba184013.jpg" } ], "jobs": [ { "id": 95388, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/getbalance/jobs/YV3eJUe-founding-product-engineer", "location": "London, England, GB / DK", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 112841, "title": "Business Development Representative (BDR)", "url": "https://www.ycombinator.com/companies/getbalance/jobs/LlzXUqO-business-development-representative-bdr", "location": "London, England, GB / DK", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$40K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "ABC" ] } ], "news": [], "launches": [ { "id": 97794, "title": "⚖️ Balance - AI accounting firm for SMBs", "tagline": "Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Emil](https://www.linkedin.com/in/emil-munk/), [Mathias](https://www.linkedin.com/in/mathias-lovring/) and [Gus](https://www.linkedin.com/in/gus-levinson/) - Co-founders of [**Balance**](https://getbalance.ai/).\n\n### **TL;DR**\n\n**Balance provides real-time, audit-ready bookkeeping & accounting - run by AI, signed off by real accountants.**\n\n* Our AI agent **Bea** handles reconciliation, categorization & reporting\n* Ask **Bea** anything in Slack, WhatsApp or email - like having a finance hire on call\n* Human accountants review your books & file your returns\n* Flat pricing, no surprises\n\n👉 **Ask**: Know a founder or small business paying too much for messy, slow accounting? \\\n**Introduce them to us,** or contact: [founders@getbalance.ai](mailto:founders@getbalance.ai) / book a demo [here](https://cal.com/balance-mathias).\n\n[**https://youtu.be/oWFYg1jBcrU**](https://youtu.be/oWFYg1jBcrU)\n\n# \n\n# **❌** The Problem\n\nThe finance & accounting industry is broken - so **we’re building Balance to fix it.**\n\nCompanies spend over $680B each year on accounting services. Yet +80% of firms still rely on manual, spreadsheet-based reconciliation processes, and small business owners spend 20+ hours every week managing their books, from invoicing and expenses to reporting and taxes.\n\n**As former CFOs and business owners, we’ve lived the problem for years:**\n\n* Paying thousands per month for late, inaccurate books\n* Scrambling to fix errors before board meetings\n* Waiting weeks for sloppy month-end closes\n* Chasing receipts to stay compliant\n\n\\\n**Why hasn’t this been solved?**\n\nBecause bookkeeping isn’t just rules - it’s judgment. And traditional firms aren’t built to solve this with AI. But companies needed this _yesterday;_ Despite only incorporating in January, we are already active across multiple industries helping some of the most forward-looking and modern companies in everything from tech, ecommerce, florists, to digital consultants, close their books **faster**, **cheaper** and more **accurately**.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/6a4d536d-9b7c-413f-8a3a-c909d22c5a13)\n\n# [**👷**](https://emojipedia.org/construction-worker) Our Solution\n\nWe’re building the accounting firm we always wished existed; combining AI systems with human experts to deliver **clean books, real-time insights, and instant answers.**\n\n**Our AI agents ingest your business context — revenue, payroll, banking, expenses, ledger, and automate the full back-office finance stack.**\n\nOur agents categorize transactions, reconcile accounts, and surface anomalies in real time, with a human in the loop for review and accuracy.\n\nOnce the books are clean, Balance becomes the easiest way to actually _understand_ them.\n\nFounders can dive into costs, audit subscriptions, break down revenue, and validate taxes; all from where they work (Slack, WhatsApp, email), without waiting on PDFs or parsing spreadsheets. It’s your outsourced finance function. Accurate books, responsive, and always up-to-date.\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/87ac5371-367d-4cbb-bae8-eb78564cb10b)\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nWe're a team of repeat founders, CFOs, and AI engineers who built finance teams at high-growth startups and scaled vertical AI applications globally, across McKinsey and 3 YC companies.\n\n**Mathias**: Former CFO at Female Invest (YC S21), founder of an accountancy, and small business owner. Lived this problem firsthand, chasing external accountants, correcting their mistakes and spending hours on manual processes that should be automated.\\\n**Gus**: Maths, CS & AI Research at Imperial and Oxford. Built agentic AI systems across education and legal. \\\n**Emil**: Previously at McKinsey, Kapa AI (YC S23), and worked within product at Encord (YC W21).\n\n![uploaded image](/media/?type=post&id=97794&key=user_uploads/2342832/e779eba3-0917-4367-a803-2a7a41f21c86)\n\n", "url": "https://www.ycombinator.com/launches/PRK-balance-ai-accounting-firm-for-smbs", "votes": 765, "created_at": "2026-02-13T07:57:35.468Z" } ] }, { "id": 31239, "name": "Fort", "slug": "fort", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/942d9dd9102b9fef3579d0744c11a1afd6e01de3.png", "website": "https://fort.cx", "all_locations": "San Francisco, CA, USA", "long_description": "Fort is a wearable that tracks strength training for people who care about longevity. Other wearables make you manually log every rep, set, and exercise, then provide unhelpful feedback or underestimate strength-related fatigue. We use heart rate and motion data to track your strength workouts for you, then provide thoughtful, actionable feedback that helps you achieve your goals.", "one_liner": "Strength Tracking Wearable", "team_size": 4, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1769992231, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "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/fort", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fort.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/fortlabs", "x_url": "https://x.com/fort", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/942d9dd9102b9fef3579d0744c11a1afd6e01de3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1251673, "full_name": "Miranda Nover", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Fort. Previously was a Product Design Engineer at Tesla, working on 4680 battery cells for the Cybertruck from prototype through successful launch. \n\nStudied Mechanical Engineering at Carnegie Mellon. Loves fitness and design.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mirandanover", "x_url": "https://x.com/mirandanover", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/961e364fccb31a43449077af96246860a7907d15.jpg" }, { "user_id": 2399741, "full_name": "Paul Schneider", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Fort. Worked on millimeter-wave radar and detecting electrical fires at Tesla. Also owned systems design & autonomy architectures for Semi and Robotaxi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paulcschneider", "x_url": "https://x.com/paulschneider_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cc70353dade2b2e635bbf28299303d222766c5c8.jpg" }, { "user_id": 3343572, "full_name": "Zac Valles", "title": "Founder", "founder_bio": "CPO at Fort. Former Senior Engineer at Tesla. Owned body and powertrain subsystems for Cybercab and Cybertruck from prototype to production. Previously propulsion and Starlink at SpaceX. \n\nAthlete and craftsman. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zacvalles/", "x_url": "https://x.com/ZacValles", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be515d3231f3542b52de77e5adc3f82ce590f4df.jpg" } ], "jobs": [ { "id": 94624, "title": "Social Content Intern", "url": "https://www.ycombinator.com/companies/fort/jobs/L4QRVHl-social-content-intern", "location": "San Francisco, CA, US / Remote (New York, NY, US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$3.6K - $8K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94629, "title": "Founding Designer", "url": "https://www.ycombinator.com/companies/fort/jobs/8SMt7qD-founding-designer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$150K - $220K", "equity_range": "0.10% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The Fort Strength Training Wearable Tracks Your Sets (2026) | WIRED", "url": "https://www.wired.com/story/fort-strength-training-wearable-launch/", "date": "Mar 11, 2026" }, { "title": "The Health Metric We’ve Been Ignoring", "url": "https://annemariechaker.substack.com/p/the-health-metric-weve-been-ignoring?utm_source=post-email-title&publication_id=2015755&post_id=190609265&utm_campaign=email-post-title&isFreemail=false&r=11l58w&triedRedirect=true&utm_medium=email", "date": "Mar 11, 2026" }, { "title": "Ex-Tesla engineers just built a Whoop rival for serious weightlifters. Is the hype justified? | Stuff", "url": "https://www.stuff.tv/news/ex-tesla-engineers-just-built-a-whoop-rival-for-serious-lifters-is-the-hype-justified/", "date": "Feb 24, 2026" }, { "title": "Tesla engineers built a Whoop competitor for lifters — but can it actually measure bar speed?", "url": "https://the5krunner.com/2026/02/19/fort-whoop-competitor/", "date": "Feb 19, 2026" }, { "title": "Tesla Engineers Launch Whoop-Competing Strength Training Wearable - Athletech News", "url": "https://athletechnews.com/tesla-engineers-launch-fort-screenless-strength-training-wearable/", "date": "Feb 18, 2026" } ], "launches": [ { "id": 98029, "title": "Fort | Automated Strength Tracking for Longevity", "tagline": "Relaunch of Fort - New Cofounder, New Form Factor, New Website", "body": "Strength training is gaining traction in both the longevity community and academia, where growing evidence links muscle mass and strength to lower all-cause mortality — yet existing wearables are failing to deliver a seamless strength tracking experience. Fort is **building a screenless wearable that detects strength training and fatigue** while also tracking sleep, cardio, and overall health in an all-day worn device.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/6f0f58e4-335c-4f2b-b2b0-bb098aa6cde3)\n\n**Co-founder Story**: My name is Zac. I met Miranda at a squat rack in Fitness SF - a little over a year later we got engaged. I met Paul in university where we designed, built, and raced electric vehicles. Paul and I worked at Tesla for the next 4-5 yrs doing much of the same. I introduced Miranda to Paul in late 2024, knowing that he wanted to work on something new, and Fort was born. I worked on the nights/weekends with Miranda and Paul prototyping designs until Fort occupied most of my mind share, joining full time in December ‘25.\n\nWe have a tight knit team that has experience shipping hardware at scale and a strong belief that (1) improving human health is the greatest technological frontier in the age of AI and (2) consumer devices will have a meaningful impact in people’s wellness.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/a1b5506e-26b6-4b5b-bd45-a33ad15c50c8)\n\n**New Form Factor**: The product we first introduced on BF (our beta prototype) has evolved to a sleeker, smarter, more mature design featuring three finishes: _Gold_, _Black_, and _Silver_ using premium materials in a form factor that disappears into your life.\n\nWhether you are wearing it in the gym or out to dinner, we want it to be something that you actually want to wear and blend seamlessly with other jewelry but be lightweight enough to wear in the gym.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/197389c4-4d80-448e-9c16-8999c0029a64)\n\n**New Website:** We’ve revamped our website explaining the use case of Fort, the value proposition centered around strength tracking capabilities “**This Wearable Actually Tracks Strength**”. In addition to detailed strength data, the Fort App also features insights into cardio, stress, and sleep, showing how they are all interconnected: “Learn how your lifestyle affects your strength, and what metrics move the needle on your strength progress”.\n\n![uploaded image](/media/?type=post&id=98029&key=user_uploads/3343572/7c19300b-5953-4a8b-8a17-db1663fb8553)\n\nFor a limited time, pre-order sales are discounted to $289 to the general public (starting $349) which includes the production device + 1 year of software. This discounted pre-order campaign will be capped at 1,000 pre-orders before we move to MSRP - [**https://www.fort.cx/#pricing**](https://www.fort.cx/#pricing)**.**", "url": "https://www.ycombinator.com/launches/PV7-fort-automated-strength-tracking-for-longevity", "votes": 39, "created_at": "2026-02-23T08:27:51.378Z" }, { "id": 97385, "title": "Fort: Automatic Strength Tracking for People Who Care About Longevity", "tagline": "Other wearables track sleep and heart rate, but underestimate or ignore muscles and strength!", "body": "**TLDR;** Most wearables focus on sleep and heart rate. Fort is a wearable that automatically tracks strength training, for people focused on longevity.\n\n**We just opened pre-orders!** [**fort.cx/order**](http://fort.cx/order)\n\n\n\n**Setting The Scene**\n\nStrength training has exploded in popularity over the past decade, especially recently. Whoop’s own data shows that strength workouts on their platform [**increased 122% YoY**](https://www.whoop.com/us/en/thelocker/whoop-year-in-review-2025/?srsltid=AfmBOoqLaNJlnaNn6uXWcFH8qfuk0ZRdry97kTI07R10adtOEx1jAR5H) between 2024 and 2025. For female Oura members, strength training was the [**third most popular**](https://ouraring.com/blog/oura-member-data-reveals-top-fitness-activities-among-female-members/?srsltid=AfmBOopcf5eXLLjOArvhBtKWvDVyd_oGxHgg2pOPhG3B7e5gHl9ME4Pb) activity, behind “walking” and “housework.” People now see strength training as a critical part of their wellness routine, not just a niche hobby for gym bros.\n\nAnd yet, neither Whoop nor Oura offers a strength tracking feature that actually works.\n\n**The Problem**\n\nIf you want to track strength workouts on existing wearables, you typically need to manually log every set, rep, and exercise. There are some attempts at automatic rep and exercise detection from Garmin and third-party Apple Watch apps, but the experience of using these products is unrefined compared to cardio or sleep features.\n\nEven after logging everything manually, wearables underestimate or ignore muscle fatigue, and lack actionable insights on how users should adapt their training to achieve their goals.\n\n**What we're building**\n\n![uploaded image](/media/?type=post&id=97385&key=user_uploads/1251673/343e5478-aeaf-426d-98a0-b04ac5978c5d)\n\n\nFort is a wearable that measures motion and heart rate to detect exercises, reps, sets, form, and fatigue that occurs while strength training. The device is a screenless band that can be worn on the wrist, attached magnetically to workout equipment, or worn with body straps elsewhere, so we can capture movements that wrist-only wearables miss.\n\nWe also track steps, sleep, heart rate, and cardio exercise, to provide you with a comprehensive picture of your health.\n\nYou can wear Fort all day, and the battery lasts a week with normal use.\n\n**Who it’s for**\n\nAnyone who cares about their health and regularly does some form of strength training, like gym or pilates!\n\n**About us**\n\n[Paul](https://www.linkedin.com/in/paulcschneider/), [Zac](https://www.linkedin.com/in/zacvalles/), and [Miranda](https://www.linkedin.com/in/mirandanover/) are ex-Tesla engineers who worked on Cybertruck, Semi, and Cybercab. We know how to build and ship consumer hardware at scale.\n\n**Fort is shipping starting June 2026. Pre-Order at: [https://www.fort.cx/order/](https://www.fort.cx/order/)**\n\n![uploaded image](/media/?type=post&id=97385&key=user_uploads/1251673/27c20f01-893d-4e4f-b35c-79f0c8af24e4)\n\n", "url": "https://www.ycombinator.com/launches/PKj-fort-automatic-strength-tracking-for-people-who-care-about-longevity", "votes": 22, "created_at": "2026-02-02T16:39:18.264Z" } ] }, { "id": 31240, "name": "General Legal", "slug": "general-legal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbf548c3bb9f1d826b76f6c508355bcfc063f988.png", "website": "https://general.legal", "all_locations": "", "long_description": "We're the elite AI law firm for high growth companies. Our firm provides exceptional, top-of-market legal work across commercial, corporate and employment law, at speeds and prices that put traditional law firms to shame.", "one_liner": "Elite AI law firm for high growth companies", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1769746017, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/general-legal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/general-legal.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/general-legal", "x_url": "https://x.com/gen_legal_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbf548c3bb9f1d826b76f6c508355bcfc063f988.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2775355, "full_name": "Ryan Walker", "title": "Founder/CEO", "founder_bio": "Math PhD, software engineer, machine learning for legal. I've been in legal tech for over a decade and was the Chief Technology Officer for Casetext (YC13) which was acquired by Thomson Reuters in 2023.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanwalkerdata", "x_url": "https://x.com/gen_legal_inc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7270ba4658843cac846ae405d39a450827f5502d.jpg" }, { "user_id": 69227, "full_name": "J.P. Mohler", "title": "Founder/CPO", "founder_bio": "iOS/Android dev who went to Harvard Law and subsequently represented startups and VCs at Cooley and WilmerHale for 3 years. Back to building: this time, a more efficient law firm.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jp-mohler/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/401518fb7ca8c5cdf2dcce7eb03843b8aa541f13.jpg" }, { "user_id": 3177126, "full_name": "Javed Qadruddin", "title": "Founder/CTO", "founder_bio": "Been coding since the age of 9. Went to Harvard Law because I liked law too. Represented startup companies at Fenwick & West for 2 years, but decided I'd rather actually build things. Switched back to engineering in 2013. Got really into deep learning in 2014. Been at the intersection of law and AI ever since at Casetext (YC13, exited to Thomson Reuters in '23), and at Meta. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/javed-qadrud-din/", "x_url": "https://x.com/Javed_Qadruddin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37e0385d499f67b5f870d0a8c13f55d796017d2b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97431, "title": "General Legal -- The AI Native Law Firm for the Growth Stage", "tagline": "The corporate law firm for founders. Expert legal advice, one hour contract turnaround, and $500 per deal.", "body": "We’re[ Ryan](https://www.linkedin.com/in/ryanwalkerdata/),[ Javed](https://www.linkedin.com/in/javed-qadrud-din/), and[ JP](https://www.linkedin.com/in/jp-mohler/), and we’re building [General Legal](https://www.ycombinator.com/companies/general-legal). Previously, we built AI products for lawyers at[ Casetext](https://bookface.ycombinator.com/company/542) where Ryan was CTO and Javed led AI. Javed and JP went to Harvard Law and practiced at **Fenwick** and **Cooley**. \n\nGeneral Legal is an **AI-native law firm** solving commercial contracting for founders. We save founders $100s–$1000s per contract, turn around contracts in hours instead of days, and our clients love the practical, real-time guidance they get from our experienced attorneys.\n\n\n\n**The scenario:** \n\nCongratulations! your B2B startup has its first customer ready to buy! What happens next? Your customer sends you a Cloud Services Agreement. This 30-page document is dense with complex legal terms.\n\nYou might be tempted to just sign this deal and get the revenue now. The problem is that there are often very harmful, and sometimes even company-ending, terms buried in the first turn of an enterprise contract. Some of these terms are so aggressive that VCs won’t even count the contract toward your ARR. You need a lawyer to find and negotiate those out.\n\nAt this point, most founders ask the same law firms that did their incorporation for help. These firms will charge $500–$2000 per hour, won’t estimate how many hours they’ll need to do the job, and will take days or even weeks to turn around your agreement.\n\nWhat your lawyers are doing behind the scenes is a shockingly inefficient process of passing work between partners and associates over email, unassisted by AI or technology generally. It’s a highly manual process where “data-driven” means “whatever the partner thinks they saw on the last five deals.” If you look closely at the work product, you’re quite likely to [find embarrassing errors](https://general.legal/blog/your-lawyer-is-worse-than-you-think).\n\nIn short, you’re paying a lot for a poor result, delivered slowly. In the age of LLMs, this is inexcusable.\n\n**The solution:**\n\nGeneral Legal is rebuilding the law firm for the AI era like Tesla rebuilt the car for the EV era. We hire top-tier attorneys and equip them with proprietary AI workflows that enable them to operate at **10× the efficiency of traditional attorneys**. This tech advantage allows allows us to offer our clients:\n\n* **Flat, all-inclusive pricing**\n * **$500 per contract** for review services and negotiation on existing paper\n* **Turnarounds in hours not days or weeks**\n * Guaranteed contract turns within **3 hours**, with typical turns delivered in **1 hour**\n\n  \n* **Highest-quality legal work**\n * Our AI workflows eliminate common contracting errors\n * Our expert attorneys spend time focused on substantive risk and providing tailored advice\n\n**Our Ask:**\n\nSince announcing our private preview last month, _we’ve had over 20 growth stage companies move commercial contracting to our firm._  We want more founders to run commercial legal through us. Don’t let your founder friends pay traditional law firms for routine contract review! Send them to us. We’ll _do any company’s first contract review for free_ until demo day.\n\nVisit our [website](https://general.legal/), [email us](mailto:founders@general.legal), or [book a demo](https://calendly.com/ryan-general/general-legal-info-call).", "url": "https://www.ycombinator.com/launches/PLT-general-legal-the-ai-native-law-firm-for-the-growth-stage", "votes": 61, "created_at": "2026-02-03T17:08:57.503Z" } ] }, { "id": 31241, "name": "Corelayer", "slug": "corelayer", "former_names": [ "Sevvy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.png", "website": "https://www.corelayer.com", "all_locations": "San Francisco, CA, USA", "long_description": "Corelayer is the AI-native platform for production software support, built for regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes.\r\n\r\nWe're helping SRE, production services, and on-call engineers at companies ranging from growth-stage fintechs to Fortune 500 financial institutions spend less time on support and more on high-leverage work.", "one_liner": "AI production engineer for regulated industries", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1767713346, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/corelayer", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/corelayer.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108275403", "x_url": "https://x.com/CorelayerAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7fc77bd9760310dfdeb4b8ba962b09280b614937.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2897480, "full_name": "Mitch Radhuber", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Corelayer | Automating software support and ops for the world’s most complex environments.\n\nPrev: software + data infra @ Goldman Sachs, CS @ UMich, astrophysics research @ Princeton", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitchellradhuber", "x_url": "https://x.com/MRadhuber", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7590cd2fc3d3a9254fe52d5d01e6d5da3d0c35b.jpg" }, { "user_id": 2953500, "full_name": "Shipra Jha", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Corelayer | Building the AI-native operations layer for production software and data systems.\n\nPrev: software + data infra @ Goldman Sachs, cloud infra @ Oracle, CS @ CMU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shipra-jha-9b021859/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebc2e5c8ebb0dde05bf8a9e100f7393778004685.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96772, "title": "Corelayer: AI on-call engineer for regulated industries", "tagline": "Detect and fix production issues 15x faster", "body": "Hey everyone! 👋\n\nWe’re [Mitch](https://www.linkedin.com/in/mitchellradhuber/) and [Shipra](https://www.linkedin.com/in/shipra-jha-9b021859/) - before Corelayer, we built data infrastructure at Goldman Sachs where we spent many late nights and weekends debugging systems that processed 100s of billions of rows a day.\n\n**TL;DR**\n\nWhen you’re on call in data-heavy, regulated industries like fintech, healthcare, or insurance, you need to inspect underlying data to debug production issues. We built a platform that monitors both infrastructure and data for anomalies and uses AI agents to debug and suggest fixes in minutes.\n\n[Corelayer Launch Video](https://youtu.be/yFZKJ9QRrr4)\n\n**On-call support is painful and expensive**\n\nAll engineers hate being on call. Production issues kill velocity, erode user trust, and become more and more costly as companies scale.\n\nFortune 100s spend **$100M+/year** on first-line-of-defense production support.\n\nSmaller companies can’t afford to burn **scarce engineering resources** on time-consuming support and maintenance.\n\n**The (sensitive) data problem**\n\nIf you’re a backend engineer at a fintech, you probably own a service that queries data, applies some business logic, and stores the result somewhere (i.e., a data pipeline).\n\nWhen this service is running in production, you’ll see two failure modes:\n\n1. Exceptions in logs and/or failing jobs\n2. Bad data produced by your service\n\n“Bad data” can mean anything from incorrect values to entirely missing or duplicated rows.\n\n**This is really common** in certain products and industries, but you’re totally blind to these errors without monitoring data for anomalies and querying data while debugging.\n\nIn regulated environments where this problem is prevalent, **production data is sensitive**, which is another constraint we have to solve for.\n\n**Corelayer solves this**\n\nWe continuously monitor logs, metrics, **and data** for anomalies and use AI agents to debug, root-cause, and suggest fixes for issues.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/fce0b569-7a89-41f5-8225-625e86092a04)\n\nWe also filter out false positives and group related issues to reduce alert noise.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/6b91dd40-c7c7-4ca9-97a4-f80eaaff537d)\n\nEvery team is different. We take feedback from human engineers so our agents learn your systems and improve over time.\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/f5384b34-039b-40f5-ba00-4c1ede356893)\n\nData is especially sensitive in regulated industries. We’re SOC 2 compliant, offer **BYOC and** **on-prem deployments**, flexible LLM inference options, and expose an audit trail of each step performed by the agent with citations.\n\n**Our Asks**\n\nDoes your team deal with data or integrations and spend more time on production support than you’d like? [Let’s chat](https://cal.com/mitchrad/30min). \n\nCan you connect us with an engineering leader at a finserv, fintech, healthcare, or insurance company? Reach out at [founders@corelayer.com](mailto:founders@corelayer.com).\n\nThank you!\n\n![uploaded image](/media/?type=post&id=96772&key=user_uploads/2897480/18ce5a17-9fb2-42d6-8a39-0314da2f5f5d)\n\n", "url": "https://www.ycombinator.com/launches/PAq-corelayer-ai-on-call-engineer-for-regulated-industries", "votes": 108, "created_at": "2026-01-14T03:12:36.330Z" } ] }, { "id": 31242, "name": "Booko", "slug": "booko", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df93ea203b23dfd6168d5db2ff35f568fb320f85.png", "website": "https://booko.com", "all_locations": "San Francisco, CA, USA", "long_description": "Booko helps businesses that sell bookable time slots make more money by dynamically pricing their time. Unlike physical inventory, unsold time slots disappear forever, yet most time-slot-based businesses still rely on static pricing. We integrate with existing booking systems to adjust prices and incentives based on historical utilization, availability, and demand. Early customers see ~20% revenue uplift by selling time that would have otherwise gone unsold.", "one_liner": "Dynamically pricing the whole economy. ", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769199393, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/booko", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/booko.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bookoappinc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/df93ea203b23dfd6168d5db2ff35f568fb320f85.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3fbd4e0d298bfef9cf5d38d3eee9fa1cc62f5195.png" ], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 3198795, "full_name": "Will Hall", "title": "Founder/CEO", "founder_bio": "Econ + CS @ Dartmouth. Building dynamic pricing for service providers with Booko. Background as CEO/Founder of Hall & Partners Digital Marketing ($300K secured revenue, $500K proj. TTM)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-hall-a1160432b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e94abd97747369b6830bdaaa735485e40373ae78.jpg" }, { "user_id": 3079635, "full_name": "Arjun Saluja", "title": "Founder/CEO", "founder_bio": "Engineering & CS @ Dartmouth. Built dynamic pricing systems with the Uber Elevate team at Joby Aviation. Now building dynamic pricing @ Booko. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arjun-saluja-a073b927a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b33506b79fc4b0fe61141918ce4dfe4f5283c4ec.jpg" } ], "jobs": [ { "id": 94530, "title": "Founding Growth Lead", "url": "https://www.ycombinator.com/companies/booko/jobs/7yAOw07-founding-growth-lead", "location": "New York, NY, US / San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $150K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95979, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/booko/jobs/PPSedMS-founding-engineer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95985, "title": "Founding Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/booko/jobs/K3Oj9Sa-founding-forward-deployed-engineer", "location": "San Francisco, CA, US / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95986, "title": "Founding Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/booko/jobs/iW5ZIzm-founding-machine-learning-engineer", "location": "San Francisco, CA, US / New York, NY, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97494, "title": "Booko – Dynamic pricing for businesses that sell time slots", "tagline": "Helping recover billions in unsold revenue.", "body": "**TLDR: Booko is a pricing engine for businesses that sell time slots that uses dynamic pricing to fill more appointments during slow times (similar to how airlines and Uber price unused capacity).**\n\nWe’d love to speak with decision makers at any time-slot-based businesses that want to maximize their revenue! Booko is a great fit for any high fixed-cost business that’s selling their time. Some examples include: class-fitness studios, med-spas, tutoring centers, consultants, personal trainers, movie theaters and event venues, hair salons, accounting firms, and other appointment-based businesses with uneven demand.\n\nFeel free to email us: [arjun@bookoapp.com](mailto:arjun@bookoapp.com) & [will@bookoapp.com](mailto:will@bookoapp.com), or find a time to chat [here](https://calendly.com/will-bookoapp/15min?month=2026-01). \n\n**Product Video:**\n\n\n\n\\*\\*Problem/Solution:\\*\\*\\\nTime-slot based businesses all face the same issue: **every unsold hour is $0 revenue**. Demand is often uneven, and existing tools give customers no incentive to choose those slower times.\n\nBooko integrates with existing booking systems to automatically adjust prices and incentives based on historical utilization, real-time availability, and demand. Like airlines or Uber, we price unused capacity while staying inside the business’s existing workflows. **Early customers see around a 20% revenue lift by filling time that would have otherwise gone unsold.**\n\nBooko works anywhere people sell their time, from fitness-studios and med-spas to tutors, consultants, and professional services.", "url": "https://www.ycombinator.com/launches/PMU-booko-dynamic-pricing-for-businesses-that-sell-time-slots", "votes": 19, "created_at": "2026-02-04T17:41:28.620Z" } ] }, { "id": 31243, "name": "Foreman", "slug": "foreman", "former_names": [ "Scout Out" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.png", "website": "https://foreman.co", "all_locations": "San Francisco, CA, USA", "long_description": "Foreman is the all-in-one AI-powered project management platform built for construction contractors and the trade industry.\r\nToday, contractors run complex businesses on a patchwork of tools that were never designed for construction — estimates in spreadsheets, plans in email, proposals copy-pasted from old Word docs, photos scattered across phones. Nothing talks to anything else, and the admin work never stops.\r\nForeman replaces that patchwork with a single platform that manages the full lifecycle of a construction job, from first estimate to final invoice. Contractors upload plans, photos, or a project description, and Foreman's AI instantly generates structured takeoffs, scoped estimates, and professional proposals — in minutes, not hours. From there, every customer record, document, permit, photo, change order, and conversation lives in one place, organized around the job.\r\nThe result: contractors spend less time buried in admin and more time building. They bid faster, manage jobs with less chaos, and close projects cleanly — without duct-taping five tools together to do it.", "one_liner": "Keeping contractors on the job site, not behind a desk.", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1768343791, "tags": [ "Finance", "Construction", "Scheduling", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/foreman", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/foreman.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111206906", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ea6017f7d414cf92f14434141d6dd12101b14d9.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": 2106935, "full_name": "Nolan Rossi", "title": "Founder/CEO", "founder_bio": "Currently keeping construction companies on the job site, not behind a desk.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nolan-rossi", "x_url": "https://x.com/NolanRossi100", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de427265df670b05fa9ab9dc34dbc9bd9807ab62.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98494, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/Pcc-scout-out-run-your-construction-business-from-one-place", "votes": 10, "created_at": "2026-03-05T17:19:52.616Z" }, { "id": 97506, "title": "Scout Out: run your construction business from one place", "tagline": "Estimate faster, manage better, and keep every project on track", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\nI’m [Nolan](https://www.linkedin.com/in/nolan-rossi/), founder of [**Scout Out**](https://www.scoutout.ai).\n\n**TL;DR**\n\nResidential contractors juggle dozens of moving pieces — estimates, plans, takeoffs, proposals, change orders, documents — across spreadsheets, email threads, and sticky notes. Scout Out is the all-in-one AI-powered project management platform built specifically for construction, automating the busywork so contractors can focus on building.\n\n[**Scout Out**](https://scoutout.ai/) contractors one platform to manage every job — with AI that handles takeoffs, clients, crew, and documents in minutes, not hours.\\\n\\\n**Ask:** If you know residential contractors, remodelers, or builders drowning in admin work, we'd love an intro.\n\n👉 Contact us at: [nolan@scoutout.ai](mailto:nolan@scoutout.ai)\n\n# \n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/30e770cd-ac0d-4853-9d5c-40b1cb0f9615)\n\n# [**🕺**](https://emojipedia.org/man-dancing)**The Team**\n\n[**Nolan (Founder & CEO)**](https://www.linkedin.com/in/nolan-rossi/) – triple majored in Electrical Engineering & Computer Science, Astrophysics, and Business Administration through UC Berkeley’s M.E.T. program, graduating in three years. He previously worked as a software development engineer at Amazon and ran a software consultancy he scaled to $250k in revenue. As a fourth-generation member of a family construction business, Nolan saw firsthand how difficult it is for contractors to consistently find new work — and how little time they have to sit down and bid on projects while managing active jobs. Scout Out was built to solve that problem.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/6d9cfed3-6baf-4fac-b9b7-ec2a2d99a6de)\n\n# **❌ The Problem**\n\nResidential contractors are running complex businesses on a patchwork of tools that were never built for construction.\n\n* **Project management is fragmented.** Plans live in email. Estimates live in spreadsheets. Photos live on phones. Proposals get copy-pasted from old Word docs. Nothing talks to anything else.\n* **Estimating is slow and error-prone.** Reading through plans, measuring takeoffs, pricing labor and materials, then assembling a professional proposal — this process takes hours and still produces mistakes. Contractors either underbid to win, or overbid to be safe, and lose anyway.\n* **AI tools exist but aren't built for construction.** Generic project management software ignores the realities of field work — plan sets, per-page takeoffs, scope changes mid-build, subcontractor coordination.\n\n Contractors end up duct-taping tools together and paying the price in margin and stress.\n\n**The result:** Jobs are won with incomplete bids, managed with ad-hoc systems, and closed with manual paperwork that eats hours contractors don't have.\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/0cdecb42-5772-4e1d-81d1-1d7fb87db86d)\n\n# **🙌 Our Solution: One Platform for the Entire Job**\n\nScout Out is a single platform that handles the full lifecycle of a construction job — from first estimate to final invoice — with AI doing the heavy lifting.\n\n### Job & Customer Hub 🏗️\n\nEverything lives in one place, organized around the job:\n\n* Customer records and full contact history\n* All uploads in one place: plans, photos, permits, contracts, and insurance\n* Status tracking across every deliverable and milestone\n* Every conversation, change order, and document tied to the right job\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/ffbb3afc-3a3e-425d-800a-23c7fc95413a)\n\n### Instant AI-Powered Bidding ⚡\n\nWhen a contractor finds a project they want, ScoutOut generates a **clean, editable quote in seconds**.\n\n* Upload plans, photos, or a short description\n* AI produces a structured estimate covering scope, labor, and materials\n* Contractors can review, adjust, and send a professional bid immediately\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/cf8c8b3c-0744-4b8b-b092-16e0952bf102)\n\n### Built for Real Contractor Workflows 🔧\n\nScoutOut is designed for how contractors actually work:\n\n* No long setup or training\n* Quotes are editable and contractor-owned\n* Built to be used between site visits, calls, and active builds\n\n![uploaded image](/media/?type=post&id=97506&key=user_uploads/2106935/f723d694-6721-4b5a-a80a-4bd39e691892)\n\n", "url": "https://www.ycombinator.com/launches/PMg-scout-out-run-your-construction-business-from-one-place", "votes": 9, "created_at": "2026-02-06T02:51:10.759Z" } ] }, { "id": 31244, "name": "Turnstone", "slug": "turnstone", "former_names": [ "Crow" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83da57a5a7cd9d76b06d6dda92bb99843ca0edf1.png", "website": "https://myturnstone.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Turnstone is the AI workspace where your agents already know you. Connect your apps (e.g. email, calendar, Slack, Drive) and your local folders. Turnstone turns all of it into your second brain and continuously updates it.\r\n\r\nSpin up agents (e.g. chief of staff, research, GTM) that all share that brain, so you stop re-explaining yourself and start getting real work done.\r\n\r\nIt all lives on your machine and runs on any model you already pay for. Ask your agent once, and it's done.", "one_liner": "Work with agents that already know you", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768862675, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/turnstone", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/turnstone.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/110243701/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83da57a5a7cd9d76b06d6dda92bb99843ca0edf1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1919824, "full_name": "Aryan Vij", "title": "Founder/CEO", "founder_bio": "Making you a 100x human\n\nPrev engineering @ Qualcomm, Shasta Health (S23), and Frontdesk (PearVC). \nUC Berkeley EECS. \nEx-Military Officer @ Singapore Armed Forces.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryanvij/", "x_url": "https://x.com/aryanvij02", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f445c1bfae05cda08d8678d4be4cc434d5d3f34.jpg" }, { "user_id": 2393534, "full_name": "Jai Bhatia", "title": "Founder/CTO", "founder_bio": "2026 was the year of the 100x engineer\nIt should also be the year of the 100x human\n\nCS @ UC Berkeley\nex-SWE @ 5 startups 🐦‍⬛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jai-bhatia-/", "x_url": "https://x.com/jaixbhatia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d7ec7a9b5c441efcd0f4f72e9f6f697b64d0cd3a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96954, "title": "Crow - Let users control your app through chat", "tagline": "Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus", "body": "# **TL;DR**\n\n[**Crow**](https://www.usecrow.ai/) **lets users control your app through chat. Connect Crow's AI agent to your product, and users can type what they want instead of clicking through menus.**\n\nUnlike chatbots that just answer questions, Crow connects to your APIs and data, navigates your UI, and executes actions. Deploy in under a week.\n\n\n\n**Ask**: Know VPs or founders at software companies exploring chat-based interfaces? We'd love an intro! Contact us at [aryan@usecrow.ai](mailto:aryan@usecrow.ai)\n\n# **🌊 The Shift**\n\nRemember when Blockbuster thought people would always drive to stores to rent movies? Then Netflix let you just click what you wanted to watch.\n\n**The same shift is happening with software right now.**\n\nIt started with ChatGPT. Then Claude. Then every AI assistant that followed.\n\nUsers learned they could just ask for what they want, and it would happen. Write emails, search for information, generate code — all through conversation.\n\n**Now they carry this sentiment everywhere - including your product.**\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/a48c7936-a7d8-4d97-abf5-20d2688c9191)\n\n## **❌ The Problem**\n\n**Your product could be the next Blockbuster.**\n\nNot because your features aren't good. But because, your users:\n\n* Get lost in multi-step workflows buried in nested menus\n* Stare at dashboards with 47 buttons they don't understand\n* Give up on features they don't even know exist\n\nYou know an AI assistant would help. Your competitors are already shipping them. Your users are asking for them.\n\n**But building one yourself? That's where it gets hard.**\n\nYour team estimates 6+ months to build a reliable AI assistant:\n\n* Integrate LLMs and connect to every API endpoint in your product\n* Build context pipelines and connect to numerous data sources so it understands your app\n* Add guardrails so it doesn't break things\n* Build observability so you can debug when it fails\n* Make it secure and reliable enough for production\n\nAnd even after you ship, it needs constant maintenance. Every product update means updating the AI integration.\n\n**Getting a demo working is easy. Getting to production-ready? That's the nightmare.**\n\n# **🔨 Our Solution**\n\nCrow isn't just a chatbot you slap on top of your product.\n\nCrow is AI infrastructure that plugs directly into your app — so your users can chat with your product instead of clicking through it.\n\n### Example\n\nBelow you can see an implementation of Crow on a sample ERP application. The user is able to easily create a Customer, open their Profit and Loss page, and go back to the Customer page - without ever having to navigate the User Interface themselves.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/8a396d0c-0821-45df-b7ed-c753cb393437)\n\nMost AI chatbots just answer questions. Crow takes actions — it hits your backend endpoints, clicks buttons, navigates your UI, and executes workflows.\n\n### **Here's how it works:**\n\n**Connect your context** 📚\n\nConnect your data sources — files, docs, websites, or custom integrations. Crow ingests it all and understands your product.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/42a5bd77-f274-43f2-aed7-57914c6e4f80)\n\n**Wire in your functionalities** 🔌 Connect via OpenAPI spec or MCP server. Crow can now call your APIs and take client-side actions.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/c7648181-4ace-4d47-8f11-8d13623925db)\n\n**Define Journeys** 🛤️ Build workflows for specific scenarios.\n\n* E.g. User asks to cancel? Crow offers alternative options to avoid cancellation, then handles cancellation if they still want out. You set the path.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/e381dd18-acd6-4b5f-b0d9-9747474954e5)\n\n**Track everything** 📊 See every conversation, tool call, and action. Know what users ask for and where things break.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/6725a92a-6440-475e-9630-19325b310a3c)\n\n**Deploy** ⚡ One script tag. Simple wiring in your codebase. Go live.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/9ceb77d1-4f5d-47d8-87b1-55f716a56d1b)\n\nOur customers go live in **under a week** — getting an AI Assistant on their app that is faster and more reliable than what they tried building in-house.\n\n# **🙏 Our Ask**\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Are you a VP / executive / founder at a software company?** We are working with companies that have 5k to 200k DAU. Let's chat about how Crow can help → [aryan@usecrow.ai](mailto:aryan@usecrow.ai) .\n* **Know someone at companies like Notion, PostHog, or Shopify?** We'd love to learn from teams already building great chat interfaces\n* **Are you a developer with a side project?** Try Crow for free. Connect to our MCP docs and use Claude Code or Cursor to drop Crow into your app\n\n👉 Learn more at [**usecrow.ai**](http://usecrow.ai) or email us at [**aryan@usecrow.ai**](mailto:aryan@usecrow.ai)\n\nFollow us on [LinkedIn](https://www.linkedin.com/company/110243701/) and [X](https://x.com/usecrow_ai) and share this post. Your intro could help us reach the next company that needs AI in their product!\n\n# **👥 The Team**\n\nAryan and Jai met on the first day of college at UC Berkeley, bonding over college football before ever writing a line of code together.\n\nWe've both worked at top AI startups building the infrastructure that powers conversational interfaces. At these companies, we transformed workflow-heavy SaaS products into chat-first experiences—wiring integrations, solving production challenges, and seeing firsthand the massive value it brought when users could chat with products instead of navigating clunky UIs.\n\nWe built Crow because we've done this transformation before and know exactly how hard it is. Now we're making it easy for everyone else.\n\n![uploaded image](/media/?type=post&id=96954&key=user_uploads/1919824/aee5c2fa-8bc5-4a08-ab71-9102ba4a5ee9)\n\n", "url": "https://www.ycombinator.com/launches/PDm-crow-let-users-control-your-app-through-chat", "votes": 83, "created_at": "2026-01-19T23:53:35.793Z" } ] }, { "id": 31245, "name": "Squid", "slug": "squid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "website": "https://squid.energy", "all_locations": "London, England, United Kingdom", "long_description": "We believe the electricity grid is the most important machine on Earth. If we want electrification to move fast, the teams planning and operating networks need software that is as modern as the challenge.\r\n\r\nOur thesis is simple. Better decisions come from one unified, trusted network model. When everyone works from the same model, planning becomes consistent, assumptions are visible, and progress stops getting lost in spreadsheets and static reports.\r\n\r\nSquid is AI powered grid planning in your browser. We have spent years inside National Grid, Octopus Energy, and AWS, building and learning what breaks. Now we are building what we wished existed.", "one_liner": "AI agents for power grid planning 🦑 ", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1768422882, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/squid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/squid.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/squid-energy", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/squid-8289", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93fe1704e4703d232c51eb59b83175a7dcf288f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/458d1c9552b902a0518403c8ac5448409e9c1a99.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4dd68590f90952ff454dfa2326e734597fa6c348.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 2134143, "full_name": "Conor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder / CEO of Squid 🦑\n🐙 Octopus Energy, 📚 BCG, ⚡️ National Grid", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conor-jones-aa6590141/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c757ff2fe9771afffbed7acb5e63089dc6a24f64.jpg" }, { "user_id": 2318150, "full_name": "George Kolokotronis", "title": "Founder/CTO", "founder_bio": "Co-Founder / CTO of Squid 🦑\nEx: 🐙 Octopus Energy (Head of Tech), ☁️ AWS, 🎓 Cambridge\n↪️ Repeat Energy/CleanTech Founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/george-kolokotronis/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afcd412ccaf5636bde04c3d61c734dc9bedfcd6f.jpg" } ], "jobs": [], "news": [ { "title": "National Grid DSO partners with Squid to improve accessibility of electricity network data - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-partners-with-squid-to-improve-accessibility-of-electricity-network-data/", "date": "Mar 19, 2026" }, { "title": "National Grid launches new interactive flexibility portal (Powered by Squid 🦑) - Utility Week", "url": "https://utilityweek.co.uk/national-grid-launches-new-interactive-flexibility-portal/", "date": "Feb 11, 2026" }, { "title": "National Grid DSO launch new interactive FlexPortal (Powered by Squid 🦑) - theenergyst.com", "url": "https://theenergyst.com/national-grid-dso-launch-new-interactive-flexportal/", "date": "Feb 11, 2026" } ], "launches": [ { "id": 97179, "title": "Squid 🦑 AI-powered grid planning in your browser", "tagline": "The electricity grid is the most important machine on Earth - but planning is still file chaos. One trusted model fixes it.", "body": "**TL;DR:** Grid decisions still get made across emails, spreadsheets, PDFs, GIS exports, and conflicting model versions. [Squid](https://www.linkedin.com/company/squid-energy/) ([squid.energy](http://squid.energy)) gives utilities a single, trusted model (a live, versioned grid map of substations and lines, with evidence attached) so planning is consistent, and decisions ship faster.\n\n### **The problem**\n\nMost grid organisations have the tools for analysis, but the _decision trail_ is fragmented:\n\n* models live in specialist tools\n* evidence lives in decks/docs/spreadsheets\n* assumptions live in people’s heads\n\nResult: slow planning cycles, endless “which version is right?”, and hard-to-defend decisions.\n\n### **Our solution**\n\nSquid is a workspace where the **model of the electric grid at the center**.\n\n* **Unify** messy grid data into one coherent model (and keep it current)\n* **Version** everything so changes are trackable and comparable\n* **Attach evidence + assumptions** to the model, where decisions are made\n* **Run repeatable workflows** for planning, connections, and network change\n\n### **Why now**\n\nElectrification is accelerating and the grid is the bottleneck. The old workflow - files, handoffs, static reports - doesn’t scale to the pace of change.\n\n### **Why us**\n\nWe’re [Conor Jones ](https://www.linkedin.com/in/conorjones-energy)and [George Kolokotronis.](https://www.linkedin.com/in/george-kolokotronis/) We’ve built inside **National Grid, Octopus Energy, and AWS** - we’ve lived the pain, and we’re building the system we wish we had.\n\n### **Our ask**\n\nWe’re looking for **design partners** at grid operators (planning, connections, modelling, GIS, asset strategy). If that’s you - or you can intro us - please reach out: [**hello@squid.energy**](mailto:hello@squid.energy)\n\n![uploaded image](/media/?type=post&id=97179&key=user_uploads/2134143/a610c2ac-564e-4d73-a8d3-b0dacbdb6752)\n\n", "url": "https://www.ycombinator.com/launches/PHP-squid-ai-powered-grid-planning-in-your-browser", "votes": 15, "created_at": "2026-01-28T08:01:31.486Z" } ] }, { "id": 31247, "name": "Fed10", "slug": "fed10", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed78fd7caa59335d26e6924d7cd9e597c6f6f2a8.png", "website": "https://www.fed10.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Fed10 is a legislative consulting firm staffed by AI agents. \r\n\r\nWe monitor every bill across the U.S., flag threats to your business, and deliver actionable insights — the same work a $500/hr policy consultant does, but in seconds instead of days.\r\n\r\nBuilt by three ex-lobbyists who passed legislation together.", "one_liner": "AI Agents for Government Affairs", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1768118288, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "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/fed10", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fed10.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fed10", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed78fd7caa59335d26e6924d7cd9e597c6f6f2a8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2369067, "full_name": "Armand Iorgulescu", "title": "Founder/CEO", "founder_bio": "CEO @ Fed10. Passed multiple bills before I could vote. Youngest Governor appointee, where I drafted recommendations signed into law. Studied government at Harvard. Skipped high school classes to sit in on law school lectures.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armand-iorgulescu", "x_url": "https://x.com/armandiorg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59d5ba0e6364f10417d507d4dea2487111e4dde0.jpg" }, { "user_id": 3207858, "full_name": "Zayan Islam", "title": "Founder/CTO", "founder_bio": "CTO @ Fed10. Best friend of Armand and Winston. Passed a bill & went to law school lectures with them as well. Got an Amazon offer at 17 and studied CS/Government at Berkeley.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drowsy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec51cdc4b03fbb9ad23d1ed38f3e88aeaedea55b.jpg" }, { "user_id": 2941412, "full_name": "Winston Wei", "title": "Founder/COO", "founder_bio": "COO/CPO @ Fed10 \nWilliams College CS & American Studies | Ex-Gov Affairs/NV Dems.\nPassed legislation with these two before I could vote.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/winstonwei-wc", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/22eaab4d7e70686ddfc2c495f6ecaf0666c0a00a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98547, "title": "Fed10 🇺🇸 – AI Lobbyists", "tagline": "Harvey for Public Policy/Government Affairs teams", "body": "**TL;DR:** We use AI to ingest every proposed regulation in the world and immediately flag threats to your business. We help companies catch bills that would cost them millions in compliance, draft the fix, and show them who to call and what to say to get it done.\n\n[**Launch Video:**](https://www.youtube.com/watch?v=q5xti-2WC1Y)\n\nHey, we’re [Armand](http://linkedin.com/in/armand-iorgulescu), [Zayan](https://www.linkedin.com/in/drowsy/), and [Winston](https://www.linkedin.com/in/winstonwei-wc/). We’re ex-lobbyists who passed legislation before we could even vote, and now we’re building Fed10.\n\n**The problem**\\\nEvery company is affected by regulation. Most don't find out until it's too late.\n\nYour options today: \n\n* Pay $30K/month for policy consultants or lobbyists to stop threats\n* Get blindsided\n\nEven the companies that pay still get burned. We watched one of our bills die in Nevada because a last-minute committee change happened and the consultants we were paying missed it.\n\nPublic policy teams spend most of their time on research when they should be spending it on the relationships that actually move legislation.\n\n**What Fed10 does**\n\nOur AI agents handle the research. Every regulation, every jurisdiction, monitored in real time. When something threatens your business, we flag it, draft the fix, and pair you with the right person to get it handled.\n\nOne user had a bill that would have cost them $10M/yr in compliance. We caught it, drafted the amendment, and delivered a full advocacy strategy. That took seconds, not the weeks a consultant would need.\n\n**The team**\n\nIn high school, we led immigrant advocacy campaigns, drafted bills, advocated for them, and got them signed into law that now affect 344,000 people annually. We dropped out of Harvard, Williams, and Berkeley to build this.\n\n**The ask**\n\n* **Run policy or government affairs for your company?** → Try [Fed10](https://www.fed10.ai) and email [armand@fed10.ai](mailto:armand@fed10.ai)\n* **Don’t have a policy team but still affected by regulation?** →Try [Fed10](https://www.fed10.ai) and email [armand@fed10.ai](mailto:armand@fed10.ai)\n* **Know someone who does?** → Send them this post", "url": "https://www.ycombinator.com/launches/PdT-fed10-ai-lobbyists", "votes": 14, "created_at": "2026-03-06T20:26:46.500Z" } ] }, { "id": 31248, "name": "BeeSafe AI", "slug": "beesafe-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a94eb8ceff47b3a9989e9c3c4f0bff0ac9c2e0a.png", "website": "https://beesafe.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "BeeSafe AI is building the frontier model layer for social engineering defense. Cyberattacks have moved from code to conversation: attackers now use AI to carry out long-term, trust-based manipulation across SMS, voice, email, and social platforms, often inside encrypted channels where defenders cannot see, detect, or stop them.\r\n\r\nBeeSafe changes that by deploying undercover AI agents that engage attackers directly, expose hidden infrastructure, and convert live adversarial conversations into actionable intelligence. Each engagement adds to BeeSafe's proprietary dataset of real attacker behavior and trains foundational models that continually learn about counter-persuasion, deception, and manipulation in the wild.\r\n\r\nBeeSafe is starting in financial crime, where banks already value our data against Authorized Push Payment (APP) fraud and money laundering, but the opportunity is far broader. The same data and models that uncover mule networks today can protect consumers, secure enterprises, and strengthen governments against the next generation of AI-powered social engineering attacks tomorrow.", "one_liner": "Frontier AI Defenses for Social Engineering Attacks", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1770327115, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/beesafe-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/beesafe-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/beesafe-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a94eb8ceff47b3a9989e9c3c4f0bff0ac9c2e0a.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": 286, "full_name": "Daniel Spokoyny", "title": "Founder/CEO", "founder_bio": "I am a machine learning and security researcher with 10+ years in ML and NLP. I earned my PhD at CMU with research on novel transformer architectures, better training objectives, and evaluation benchmarks for reasoning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/spokoyny/", "x_url": "https://x.com/daniel_spokoyny", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0df99e432cace13afae394421aaa72c3927d9c3d.jpg" }, { "user_id": 3268572, "full_name": "Ariana Mirian", "title": "Founder", "founder_bio": "Cofounder at BeeSafe AI. I have over ten years of experience as a security research and measurement scientist, using large scale data to make better security decisions. I've worked in various organizations, such as Censys, Google Chrome, and UCSD, all of which have provided unique perspectives into security at scale to protect the end user. My goal is to make the Internet a safer place for everyone, regardless of background or technical expertise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arianamirian/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06d54df787963805facaeaffb57351bad78e5b56.jpg" }, { "user_id": 3152047, "full_name": "Nikolai Vogler", "title": "Founder/CTO", "founder_bio": "CS PhD from UCSD and ex-CMU LTI. My objective is to reduce human-driven cyber risk after hearing so many stories from peers about how they’ve gotten scammed. I have worked in machine translation, optical character recognition, and document attribution, which was actually interrupted by a real-world ransomware attack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikolai-vogler-3808a82b2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27e6b8765f3577595f09c193fa32720c34e81f6c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97562, "title": "BeeSafe AI — Fraud Prevention Platform for Trust-Based Scams", "tagline": "Stopping scams before they reach your customers", "body": "![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/9d3f5b62-fcc6-4c25-9f79-3c11e7a60a40)\n\n**TL;DR:** BeeSafe stops scams at the source by engaging with scammers to identify and shut down the fraudulent accounts they use for their operations. We are [Ariana Mirian](https://www.linkedin.com/in/arianamirian), [Nikolai Vogler](https://www.linkedin.com/in/nikolai-vogler), and [Daniel Spokoyny](https://www.linkedin.com/in/spokoyny), three PhD AI & security experts, and we pioneered the first AI system for engaging sophisticated, trust-based scammers—now we’re scaling it into a product that helps:\n\n* **Financial Services & Crypto** detect mule accounts for AML compliance\n* **Telecommunications** block suspicious inbound messages\n* **Government Agencies** take down cybercriminal operations\n\n**The Problem: The $12B Visibility Gap for Financial Institutions**\n\nHave you ever received a text like this?\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/33ca436a-5f83-4652-ba59-bdba6898fb52)\n\nThis seemingly harmless message is the start of a sophisticated social engineering scam, sometimes referred to as “pig butchering”. Scammers strike up a conversation to build trust with their victims over time, eventually convincing them to authorize real-time, irreversible payments via P2P apps, crypto, or wire transfers:\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/1e5c6c13-4a22-4cb0-840f-8bc24ec3fdc8)\n\n$12B was reported stolen in trust-based scams like this in the US last year, according to the FTC. With multilingual LLMs, deepfakes, and voice cloning, trust-based scam losses are skyrocketing.\n\nFinancial Services, Telcos, and Government Agencies have little visibility into trust-based scams because attackers bypass traditional fraud prevention systems (e.g. behavior-based anomaly detection):\n\n* **Off-Platform Trust Building:** Conversations are held across multiple, end-to-end encrypted platforms, leaving any one platform blind\n* **Authorized Transactions:** Victims are manipulated over time into trusting the attackers so they authorize transactions\n* **Reactive Investigations:** Enterprises only know about the scams after a victim reports lost money (if they report it at all)\n\n**The Solution: AI-Powered Scam Disruption**\n\nInstead of blocking scammers, our system intercepts and engages with them to extract intelligence, including financial mule accounts, fraudulent assets, malicious domains, crypto drainers, and other related infrastructure.\n\n![uploaded image](/media/?type=post&id=97562&key=user_uploads/3268572/59fdda02-ba50-4593-817a-68e8b7d5bca8)\n\nOur intel’s edge:\n\n* **Full Campaign Context:** we map the entire fraud operations, from initial message to financial exfiltration, allowing us to map patterns of attacks.\n* **Verified Data:** Our intelligence represents ground truth, and is not based on a probabilistic risk score. We minimize false positives by capturing details directly from the attackers.\n* **Real Time-Discovery:** all attacker infrastructure is discovered in real-time, preventing real-victim losses.\n\nWe provide instant access to high-fidelity fraud signals for B2B and deliver this to our customers in a way that does not add any friction to everyday users.\n\nWe have already enabled financial services and government agencies to identify and intercept scammers pre-transaction to prevent victim losses, with 10,000s of real scammer conversations across communication channels, and 1,000s of mule accounts + linked infrastructure already.\n\n**Our asks:**\n\nIf your organization and customers are facing trust-based fraud, we want to meet and see how BeeSafe can help.\n\nPlease reach out if you work in\n\n* anti-fraud, anti-money laundering, or compliance organization\n* consumer-facing fintechs, crypto exchanges, or telcos\n\nby sending us a message at [founders@beesafe.ai](mailto:founders@beesafe.ai) or visiting [beesafe.ai](http://beesafe.ai) to learn more.\n\n**About Us:** We are [Ariana Mirian](https://www.linkedin.com/in/arianamirian), [Nikolai Vogler](https://www.linkedin.com/in/nikolai-vogler), and [Daniel Spokoyny](https://www.linkedin.com/in/spokoyny) a team of three PhD founders from Carnegie Mellon and UC San Diego. We wrote the paper that introduced the first AI system for sophisticated, trust-based scams. We bring expertise in building AI systems for security—grounded in core machine learning research and real-world cybercrime defense—with industry research experience from Google, Microsoft, Censys, and major DoD-funded programs.", "url": "https://www.ycombinator.com/launches/PNa-beesafe-ai-fraud-prevention-platform-for-trust-based-scams", "votes": 21, "created_at": "2026-02-06T17:43:15.281Z" } ] }, { "id": 31250, "name": "The Token Company", "slug": "the-token-company", "former_names": [ "Otsofy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b6d23e94e331354b9f326725df83ff557b97c1a.png", "website": "https://thetokencompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "Compression middleware that removes context bloat in milliseconds, lowering costs and improving end-to-end latency.\r\n\r\nCompression is especially effective across natural language workloads. In a blind LLM arena case study with one of our customers, compressed requests increased user preference, lowered costs, and lifted purchase volume by 5%.", "one_liner": "Compression middleware that improves LLM outputs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1772525778, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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": "I didn’t apply for the winter batch, but after the YC partners reached out and spoke with me, it seemed like the obvious choice. The batch has been awesome so far, and I’ve learned so much. Can’t wait for what’s to come :)" }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Context bloat and inefficient LLM inputs. We preprocess inputs to remove useless tokens from the context, which results in faster, cheaper, and more accurate LLM answers.\r\n\r\nCurrently, this is not being done practically anywhere, which means billions of dollars and quadrillions of tokens are being wasted.\r\n\r\nI decided to work on this because it is something much more fundamental than ordinary application layer companies, since it affects each one. And I like hard problems ;)" }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "The vision is to optimize every LLM request in the world at the token level before it reaches a model.\r\n\r\nEven if model labs dominate, there will still be multiple competing providers. We sit above them as a neutral efficiency layer, optimizing inputs across all models. Labs are incentivized to build bigger models and sell more tokens, not reduce usage across the ecosystem. As long as more than one lab exists, a cross-model optimization layer remains structurally defensible." } ], "url": "https://www.ycombinator.com/companies/the-token-company", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/the-token-company.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-token-company", "x_url": "https://x.com/thetokenco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4b6d23e94e331354b9f326725df83ff557b97c1a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2949698, "full_name": "Otso Veisterä", "title": "Founder/CEO", "founder_bio": "Founder of The Token Company", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/otso-veistera/", "x_url": "https://x.com/OtsoVeistera", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/615a32b4673418ffea73a91c033ce04aac7726d9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98397, "title": "The Token Company: Intelligent compression for LLM context bloat", "tagline": "Intelligent compression for LLM context bloat", "body": "Hey everyone,I’m Otso Veisterä, founder of The Token Company (YC W26).\n\n**TL;DR**\\\nWe build LLM input compression using a fast machine learning model (not a generative LLM). It removes useless tokens from prompts via a drop-in API—cutting token counts, latency, and costs while improving model performance. It compresses 100k tokens in under 100ms.\n\n\n\n**The Problem**\\\nPrompts bloat with redundant tokens from chat history, RAG docs, or large inputs. This wastes context windows, drives up costs, slows inference, and weakens model outputs. Heavy users face high bills and must limit context to stay affordable.\n\n**The Solution**\\\nOur API compresses prompts intelligently, preserving semantic intent while stripping noise. Integration takes minutes.\\\nBenchmarks show accuracy gains (e.g., +2.7 percentage points on financial QA with up to 20% fewer tokens) and up to 37% faster end-to-end latency.\n\n**My Ask**\\\nIf you're running production LLMs and fighting context bloat, high costs, or latency, email me: [otso@thetokencompany.com](mailto:otso@thetokencompany.com)\\\n", "url": "https://www.ycombinator.com/launches/Pb3-the-token-company-intelligent-compression-for-llm-context-bloat", "votes": 25, "created_at": "2026-03-03T16:18:10.552Z" } ] }, { "id": 31252, "name": "Moda", "slug": "moda", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd64626b0d2bee14b3f5a65475f8e788a52bf6d2.png", "website": "https://moda.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Your agents should never make the same mistake twice. Moda helps you engineer better agents from production data. Find recurring failures, understand what caused them, and build evals from real agent runs. Compare models on the tasks your users actually need. Test changes to your prompts, tools, and workflows against past production traffic before you ship. Know what broke, what to change, and whether the fix worked.", "one_liner": "Your agents should never make the same mistake twice.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1769121297, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moda", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/moda.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/modaflows", "x_url": "https://x.com/modaflows", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd64626b0d2bee14b3f5a65475f8e788a52bf6d2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2168306, "full_name": "Pranav Bedi", "title": "Founder", "founder_bio": "Building Moda", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pranavbedi/", "x_url": "https://x.com/pranavbedi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8425262a777398964ce6f89f4a7e72a251417c5.jpg" }, { "user_id": 960726, "full_name": "Mohammed Al-Rasheed", "title": "Founder", "founder_bio": "Building Moda", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moalrs/", "x_url": "https://x.com/qtreplayz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ae115b3efdfff558a55607a16b476cb3b69c7e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98435, "title": "Moda: The Continual Learning Layer for AI Agents", "tagline": "Turn production agent traces into validated improvements for your agent harness.", "body": "We’re Mohammad and Pranav (Moda, W26). **We built monitoring & reliability for AI agents.**\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/84330bae-242e-447d-a656-800061f4b1ac)\n\n**In production, AI agents fail silently all the time:** tool calls that error or time out, agents that claim they “did it” without actually doing it, prompt injections that cause data leakage, and long customer chats that hide the real issue. Most teams only find out after users complain, churn, or something breaks.\n\n\n\n### **The problem:**\n\nWhen an agent fails, the “bug” is rarely one line of code. It might be a flaky tool, a prompt regression, a bad retrieval result, or a jailbreak attempt.\n\nBut most teams still debug agents by skimming transcripts, grepping logs, and hoping they notice the real issue. Previous tools were built for clicks, not for long, messy conversations with skills, MCP’s and tools.\n\nAs agents get more autonomous, this gets worse. Small changes in prompts, tools, or integrations can cause big reliability and security problems at scale.\n\n### **What we built:**\n\nModa is monitoring & reliability for AI agents. It turns conversations and tool traces into low-noise, actionable signals.\n\n**Trace-first drilldowns:** click from a metric or alert straight into the exact messages and tool calls that caused it.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/6e062a13-340e-452f-9676-2bdd790d94e4)\n\n**Conversation segmentation:** automatically splits long chats into topic segments so you can debug the right unit of work.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/90151d61-e51b-45da-ac29-72af5c8a31d6)\n\n**Failure detection:** flags tool-call errors, timeouts, and “claimed it worked” runs.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/335d8a83-6301-4d0e-af31-a75778cbbb0e)\n\n**Quality & safety signals:** highlights hallucinations, user frustration, and prompt injection attempts.\n\n![uploaded image](/media/?type=post&id=98435&key=user_uploads/2168306/7ee4b5f6-ddc0-47a3-9e9c-3538f6764acc)\n\n\\\n**Regression tracking:** measure the impact of prompt and harness changes, and catch regressions before customers do.\\\n\\\nWant to see Moda on your agent in production? Book a quick call: [https://moda.dev](https://moda.dev)\n\n### **About Us:**\n\n**Mohammad** built AI agents and infrastructure at **Shopify, Notion, and Clio**, shipping systems that scaled agents to real users.\n\n**Pranav** built data infrastructure at banks and insurance firms before diving into building AI agents at **Shopify** and **Cerebral Valley**\n\nWe both dropped out of University of Waterloo to solve what we believe to be the biggest problem in the next 10 years, AI systems are unreliable, Moda is going to solve that.\n\nVisit us at [https://moda.dev](https://moda.dev) | [pranav@modaflows.com](mailto:pranav@modaflows.com)", "url": "https://www.ycombinator.com/launches/Pbf-moda-the-continual-learning-layer-for-ai-agents", "votes": 122, "created_at": "2026-03-04T02:01:23.769Z" } ] }, { "id": 31253, "name": "Maven", "slug": "maven", "former_names": [ "Lattice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f91b1d1421f28de22ae9bbafcb6d5c03dc6cef5.png", "website": "https://trymaven.com", "all_locations": "San Francisco, CA, USA", "long_description": "We enable AI chat and voice agents to collect payments through a single API call, handling card processing and PCI compliance across all payment gateways", "one_liner": "Payments for Conversational Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770422490, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maven", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/maven.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trymaven", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1f91b1d1421f28de22ae9bbafcb6d5c03dc6cef5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2746056, "full_name": "Brandon Boehme", "title": "Founder/CEO", "founder_bio": "Founder, Maven | Ex Meta, Amazon | EECS, UC Berkeley", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-boehme/", "x_url": "https://x.com/brandondboehme", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/913ce1209c9a786e86cc0bf1c75d56dd8a0665a1.jpg" }, { "user_id": 2246042, "full_name": "Wasi Ahmed", "title": "Founder/COO", "founder_bio": "Founder @ Maven | CS @ UC Berkeley | Prev Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wasi-ahmed05/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98c75b042730b4b0557b8c1e9ce893902f796dbf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97737, "title": "Maven – Payments for Voice AI Agents", "tagline": "Add secure payments to any voice agent in minutes.", "body": "**Hey YC!**\n\nWe’re [@Brandon](https://bookface.ycombinator.com/user/2746056) and [@Wasi](https://bookface.ycombinator.com/user/2246042/following), co-founders of [@Maven](https://bookface.ycombinator.com/company/31253).\n\nWe’re building the payments infrastructure that lets voice AI agents collect payments during live calls.\n\n\n\n---\n\n### TL;DR\n\nVoice AI can handle the conversation. It just can’t complete the transaction.\n\nMaven lets voice agents collect payments during live calls with one API call.\n\n---\n\n### The Problem\n\nVoice agents are being deployed across:\n\n* Home services\n* Healthcare\n* Insurance\n* Sales\n* Collections\n* And more\n\nThey can qualify leads, book appointments, and negotiate pricing.\n\nBut when a customer says, “I’m ready to pay,” everything breaks.\n\nAdding payments today means:\n\n* Building PCI-compliant infrastructure\n* Handling sensitive card data\n* Managing failed payments mid-call\n* Supporting multiple gateways like Stripe, Authorize.net, and Adyen\n\n---\n\n### Our Solution\n\nWith a single API call, we take over secure card collection, processing, retry logic, and PCI compliance.\n\nCard data flows directly through Maven’s PCI-compliant infrastructure, never your servers.\n\nAs voice AI becomes a large revenue channel, it needs real payment infrastructure. Maven completes the loop.\n\n![uploaded image](/media/?type=post&id=97737&key=user_uploads/2246042/31358443-35d2-4fce-93a9-e27491e8b66d)\n\n---\n\n---\n\n### Our Ask\n\nWe’re looking for intros to companies or operators where payments happen over the phone, including:\n\n* Home services (HVAC, plumbing, roofing)\n* Healthcare billing and scheduling\n* Insurance agencies\n* Collections\n* Auto services\n* SMB sales teams\n\nIf you know founders or teams deploying voice AI in these areas, we’d love an intro.\n\n### Our Vision\n\nAs AI agents handle more revenue-generating conversations across voice and other interfaces, our vision is to become the default infrastructure for all human-to-agent payment touchpoints.\n\n👉 \n\n![uploaded image](/media/?type=post&id=97737&key=user_uploads/2246042/c488fde5-bb9e-4f1e-a972-8e8c6dbcd0cf)\n\n", "url": "https://www.ycombinator.com/launches/PQP-maven-payments-for-voice-ai-agents", "votes": 20, "created_at": "2026-02-11T19:02:49.038Z" } ] }, { "id": 31254, "name": "Sila", "slug": "sila", "former_names": [ "saiera", "sila" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30eef975f26ed420159ac335c08eb8b950705ee2.png", "website": "https://silahq.com", "all_locations": "", "long_description": "Sila is an agentic messenger built for teams and agents to get work done in the same conversations. Simple, instant, global AI messaging and calling. Our mission is to bring super intelligence to everyone worldwide. ", "one_liner": "Agentic Messenger", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1772231466, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Unspecified" ], "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": "The communication tools we use today (Slack, Microsoft Teams, etc) were built over a decade ago for a world that no longer exists. Full of \"fake work\" – endless messages, notifications, context switching, AI slapped on, and pings that feel productive but never move things forward. Nearly 60% of knowledge workers are overwhelmed by their communication tools, and AI is making this worse as work speeds up and the volume of communication explodes. The gap between how teams talk and how work actually gets done has never been wider. Sila rebuilt messaging from the ground up for human-AI collaboration so teams can move faster. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "AI changed what one person could do. Sila changes what an entire company can do together. The default way of communicating and doing work." } ], "url": "https://www.ycombinator.com/companies/sila", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sila.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/silaintelligence/", "x_url": "https://x.com/sila_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30eef975f26ed420159ac335c08eb8b950705ee2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2559833, "full_name": "Mith Paresh Patel", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Sila", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mith-patel-", "x_url": "https://x.com/mithparesh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/afb563f26c1d8810d97788b297a87d299c8c9c3a.jpg" }, { "user_id": 3158002, "full_name": "Carl Huang", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Sila", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/carl-huang-/", "x_url": "https://x.com/imcarlhuang?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12586bb4a774bb892a37359d15ded48cc38322f9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109420, "title": "Sila: Agent-Native Messaging Platform", "tagline": "Messaging Built For 2026 - Agent-Native Messaging Platform", "body": "AI is single-player, but work is not. Everyone knows how to message, so that's how AI should work. You'll message it, it'll message you back, and you'll do it together as a team. \n\nSila is the agent-native messaging platform. Create, share, and interact with proactive agents with your team inside groupchats and direct messages (Team-Agent). Agents collaborate with each other (Agent-Agent), answer customer questions (Agent-Customers), and collaborate with other company agents in shared groupchats (Company Agent-Company Agent).\n\nBring-Your-Own-Agents like Claude Code, Codex, Cursor and swap between models like Claude Fable, GPT-5.6, Deepseek V4 to use them together as a team. \\\n\\\n\\\n\\\nYour company's conversations are the most valuable information on Earth, Sila helps your team use, learn, and act on them by building for multiplayer AI interaction.\n\nThe conversations that define the future will happen on Sila, come start yours. \\\n\\\nWebsite: [silahq.com](http://silahq.com)\\\nX Launch: \\\nLinkedIn Launch: ", "url": "https://www.ycombinator.com/launches/SSq-sila-agent-native-messaging-platform", "votes": 6, "created_at": "2026-08-05T17:58:10.418Z" }, { "id": 98386, "title": "Sila: Agentic Workspace Messaging", "tagline": "Sila is an agentic workplace messaging & collaboration platform where teams and AI work as one ", "body": "**_Sila is an agentic workplace messaging & collaboration platform where teams and AI work as one._**\\\n\\\nEvery great company in history was built on one thing: communication. Sila is an agentic workspace messaging & collaboration platform for teams and companies. Our mission is to lead human-AI communication as the standard for work.\n\n# Problem\n\nThe communication tools we use today (Slack, Microsoft Teams, etc) were built over a decade ago for a world that no longer exists. Full of \"fake work\" – endless messages, notifications, context switching, AI slapped on, and pings that feel productive but never move things forward. \\\n\\\nNearly 60% of knowledge workers are overwhelmed by their communication tools, and AI is making this worse as work speeds up and the volume of communication explodes. The gap between how teams talk and how work actually gets done has never been wider.\n\n# Solution\n\nWe rebuilt messaging from the ground up for human-AI collaboration.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/147e96a6-3968-49c7-baee-173a44c2b72d)\n\nOn Sila, custom Claude agents live in your team's channels – talking, listening, and executing alongside naturally. They share updates in real time and automatically evolve based on your workspace conversations, tools, and apps.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/62b4297e-d404-468b-88e9-11aec0b6c6ba)\n\nEvery AI session within your workspace is shared across your team in a Google Docs-like experience, so anyone can start, delegate, and collaborate together in real time.\n\n![uploaded image](/media/?type=post&id=98386&key=user_uploads/2559833/a96dc13d-89ed-4f6e-a19c-dd3f4c224c70)\n\n# Our Mission & Ask\n\nThus far, AI has changed what one person could do. Sila is on a mission to change what an entire company can do together with AI. This is what work looks like now. \\\n\\\nWe’d love to make your company more efficient and move faster. **If you’re a company thinking about agentic communication, custom agents, or unsatisfied with Slack or Microsoft Team, reach out to [sila@silahq.com](mailto:sila@silahq.com)** and we’d love to talk about working together as we onboard early enterprise partners.", "url": "https://www.ycombinator.com/launches/Pas-sila-agentic-workspace-messaging", "votes": 12, "created_at": "2026-03-03T15:39:50.505Z" } ] }, { "id": 31255, "name": "Grade", "slug": "grade", "former_names": [ "Creator Check" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97bee8995323297bfa4540365e98ff74a62aa5fd.png", "website": "https://usegrade.com", "all_locations": "San Francisco, CA, USA", "long_description": "Grade is the API for performance-based payroll. Think of us like Deel or Gusto, but our payouts are for work completed, not hours. Companies use Grade to pay AI agents and contractors based on results: tasks completed, targets hit, work delivered. We handle compliance, tax reporting, and global payouts.", "one_liner": "API for performance-based payroll", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1768947933, "tags": [ "Fintech", "Payments", "Payroll", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/grade", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/grade.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/usegrade", "x_url": "https://x.com/usegrade", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97bee8995323297bfa4540365e98ff74a62aa5fd.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": 1159814, "full_name": "Lotanna Ezeike", "title": "Founder/CEO", "founder_bio": "2x VC-backed founder. Previously product lead at Barclays, one of the world's largest banks, where I led product for digital payments. At my last company, I managed $10M+ in contractor payouts. That experience led me to build Grade, the API for paying AI agents and contractors based on performance.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lottsnomad", "x_url": "https://x.com/lottsnomad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d5d19671ff99112bbe0922371466c381c92185b.jpg" }, { "user_id": 995638, "full_name": "James Heaney", "title": "Founder/CTO", "founder_bio": "2x exited founder and now the CTO of Grade, the API for performance based payroll. Previously, I built and exited my first cryptography startup for over $5M while still in school, built and exited a consumer mobile app PrayScreen, built a rocket engine in my garage, and moved to San Francisco with my cofounder over a year ago.\n\nExcited by the future of payroll for the new global workforce and AI agents.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jvheaney", "x_url": "https://x.com/jvheaney", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/790f919bb3ba3571e289d1121fb7cf200920a93e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97852, "title": "Grade: Performance based Payroll", "tagline": "Helping companies pay their workers based on performance.", "body": "**Lotanna** and **James** here, co-founders at Grade (YC W26).\n\nGrade is performance based payroll. We help companies pay workers based on results.\n\n### \n\n### **Our Launch Video 🎥**\n\n\n\n### **The Problem ❌**\n\nPayroll is huge. About $50T a year goes to worker pay worldwide. But most payroll systems still pay people for hours worked, even when hours do not match real output.\n\nWhen companies try to pay on performance, it gets messy fast:\n\n* The rules live in spreadsheets\n* Approvals are manual\n* Payouts are slow and mistakes happen\n\n### **Our Unique Insight 💡**\n\nBefore Grade, we built, scaled, and exited 4 mobile AI apps. Creators were our main growth channel, and they helped us reach millions of users.\n\nPaying creators was always a gamble. We paid a flat fee up front and hoped a video went viral. When we switched to paying for views instead, scaling got easy, but the tools were still spreadsheets. There was no payroll system for performance pay.\n\n![uploaded image](/media/?type=post&id=97852&key=user_uploads/1159814/0f8e12e4-c2c3-4a41-ad24-ff24b323d164)\n\n### **The Solution ✅**\n\nGrade makes performance pay run like real payroll, starting with creators.\n\n* Pay creators any way you want (flat fees, performance pay, bonused)\n* We track performance and calculate payouts automatically\n* Approve and pay out in bulk, we deal with all the invoices and tax complaince\n\n![uploaded image](/media/?type=post&id=97852&key=user_uploads/1159814/58ba3703-1ad5-40d8-9416-24b28145fa41)\n\n### **Traction 📊**\n\nIn the last 30 days, companies used Grade to **pay out $380k+** to creators, up 120% MoM\n\n![uploaded image](/media/?type=post&id=97852&key=user_uploads/1159814/07111969-8895-4c5e-99f2-d8e6606424d5)\n\n### **Our ask 📣**\n\nIf your company is paying creators at scale and you want pay tied to results without the spreadsheet mess, we would love to talk.\n\n[usegrade.com](http://usegrade.com)", "url": "https://www.ycombinator.com/launches/PSG-grade-performance-based-payroll", "votes": 14, "created_at": "2026-02-17T05:49:20.980Z" } ] }, { "id": 31256, "name": "Canary", "slug": "canary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d55fa276b2612d52a9f09c0de3bc498d001bf08.png", "website": "https://www.runcanary.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI coding tools have made developers 100x faster but customer-facing incidents are up 43% YoY, QA hasn't kept up. Canary is the first AI QA engineer that understands your codebase. Instead of relying on flaky DOM scraping or screenshot analysis, Canary reads your source code directly to understand developer intent and catch broken user flows before they hit production. Engineering teams go from weeks of manual testing to 90%+ coverage in days. Built by a team that built coding agents at Windsurf, Cognition and Google.\r\n", "one_liner": "Adversarial AI that breaks your AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1770954754, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 built AI coding agents at Windsurf and Google, tools that made developers 100x faster. But we kept seeing the same problem: teams were shipping code faster than ever, and things were breaking in production. Critical auth bugs affecting Fortune 10’s, region-wide outages, broken user flows, payroll systems going down. The QA process hadn't evolved at all. We realized someone needed to build the validation layer for AI-generated code, and we were uniquely positioned to do it. We understood exactly how these coding agents work because we built them." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Customer-facing incidents are up 43% YoY. AI coding tools have supercharged development speed, but QA is still stuck in the manual testing era. Engineering teams are either spending weeks writing and maintaining test suites, or shipping and praying with 0% test coverage. Existing testing tools rely on brittle DOM scraping or screenshot analysis that breaks constantly. Canary solves this by reading source code directly, the same codebase developers write, to understand intent and automatically validate every critical user flow" } ], "url": "https://www.ycombinator.com/companies/canary", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/canary.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/canaries-inc/", "x_url": "https://x.com/RunCanary", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d55fa276b2612d52a9f09c0de3bc498d001bf08.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": 1465952, "full_name": "Aakash Mahalingam", "title": "Founder/CEO", "founder_bio": "Building Canary: Adversarial AI that breaks your AI.\n\nPreviously built Windsurf's enterprise product, worked on Applied AI tooling around foundational models for enterprises. Launched the enterprise self-serve plan to $20M ARR in 6 months. \nICPC APAC finalist. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/aakashmahalingam", "x_url": "https://x.com/Aakash_Mahali", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cd4b9b063d200448d1454e2e3cd0222de0be838.jpg" }, { "user_id": 3186931, "full_name": "Viswesh N G", "title": "Founder/CTO", "founder_bio": "Building Canary: The first AI QA engineer that understands code\n\nArchitected the engine that beat GPT-5.4 and Claude Opus 4.6 by 11–26 points on QA-Bench. Previously at Google Cloud: built the zone recommendation system for SAP workloads that GCP sales use to place enterprise deployments; \nPrev at Swiggy: re-architected Swiggy's infra serving 300K orders/day. \nICPC APAC finalist.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/visweshng/", "x_url": "https://x.com/g_viswesh?s=21&t=siO0a79yNQPfwk_Nn8B9NA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3972bfe5b5c5bbe42269d08d84220c4c8c136cb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97890, "title": "Canary 🐥: The first AI QA Engineer that understands your codebase", "tagline": "The validation layer for AI generated code.", "body": "Hey everyone, we're the founding team behind Canary, ex-Windsurf and Google engineers.\n\n# **TL;DR**\n\n[Canary](https://www.runcanary.ai) is the first AI QA engineer that understands your codebase. Built by a team of ex-Windsurf and Google engineers, Canary reads your source code to understand what your app is supposed to do, then tests it like a real user would. Teams using Canary have caught broken auth flows, slow page loads, and drifts in AI responses before users hit them. Chat with us [here](https://cal.com/runcanary/founders-canary)\n\n\n\n# **The Problem**\n\nAI coding tools have made every engineering team 5–10x faster. Code generation is a solved problem. Code validation is not.\n\nCustomer-facing incidents are up 43% year over year. PRs are bigger, code reviews still happen in file diffs, and nobody is testing real user journeys before merge. Changes that look clean in review break checkout, auth, and billing in production.\n\nQA teams are either non-existent or underwater. Manual testing can't keep up with AI-generated code volume. E2E test suites don't scale. The gap between shipping speed and validation is widening every sprint.\n\n# **How Canary Works**\n\nCanary connects to your codebase to understand how your app is built — routes, controllers, validation logic, API schemas. When it runs tests, it uses your code as the reference point to verify and understand how to execute them.\n\n**PR Testing**\n\nPush a PR. Canary reads the diff to know what changed, uses your codebase to understand the intent behind your application and the changes, then generates and runs tests against your preview app, checking real user flows end to end.\n\n**_Step 1: Canary analyzes your PR and comments what it found_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/5a5754e8-e0f2-4c5b-bd10-fc1ab314ed3b)\n\n**_Step 2: Canary runs tests and reports results directly on the PR_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/001bd6ff-fd2b-4344-b272-e3fd630ea3d8)\n\n**_Step 3: Click into any failed test to see exactly what broke_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/d0ca3915-0fb2-4226-9f78-05647886bb46)\n\n**_Step 4: Want a specific user flow tested? Trigger it through a PR comment_**\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/cf303da1-9272-461e-83e6-206f45569cfb)\n\n**Regression Testing**\n\nMove any PR test into a regression suite for ongoing use. Or describe what you want to test in plain English on our platform.\n\nCanary generates a full test suite from your codebase, schedules it, and runs it continuously. Regression suites also run on every PR, catching bugs from new code changes before they ship.\n\n![uploaded image](/media/?type=post&id=97890&key=user_uploads/1465952/a070c92d-dda3-47d8-8b92-a1ae26b05f3b)\n\n# **Run Canary**\n\nTeams using Canary have caught broken auth flows, slow page loads, and drifts in AI responses as well.\n\nWe're now working directly with engineering and product teams to customize Canary to their codebase and workflows. If your team is shipping with AI coding tools and quality feels like it's falling behind, we'd love to work with you.\n\nReach out at [founders@runcanary.ai](mailto:founders@runcanary.ai) or chat with us directly [here](https://cal.com/runcanary/founders-canary)\n\n# **The Team**\n\nThe founding team comes from Windsurf and Google, with deep experience building AI coding tools, AI inference systems, and enterprise-scale infrastructure.\n\nWe've built the AI tools engineers use to ship faster. We've built the enterprise systems those tools ship into. We've built both sides, Canary sits at the intersection.", "url": "https://www.ycombinator.com/launches/PSs-canary-the-first-ai-qa-engineer-that-understands-your-codebase", "votes": 13, "created_at": "2026-02-17T21:18:29.099Z" } ] }, { "id": 31260, "name": "Copperlane", "slug": "copperlane", "former_names": [ "Sevenfold", "Rhombal", "Coevolved" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6c74fb63a006045b5124e1949931ca658a4aafd.png", "website": "https://www.copperlane.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Copperlane helps mortgage lenders accelerate the loan process and reduce mistakes in an application. We use AI agents to understand an applicant's profile, verify their documents, and complete initial underwriting tasks.", "one_liner": "Agentic Mortgage Origination", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1768253497, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "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/copperlane", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/copperlane.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/copperlane/", "x_url": "https://x.com/copperlaneai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6c74fb63a006045b5124e1949931ca658a4aafd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harshita Arora", "url": "https://www.ycombinator.com/people/harshita-arora" }, "founders": [ { "user_id": 1705932, "full_name": "Athan Zhang", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Copperlane", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/athanzhang/", "x_url": "https://x.com/athanzxyt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2fada970b561d35b032565902b9cb852620f0fb.jpg" }, { "user_id": 3082094, "full_name": "Brianna Lin", "title": "Founder", "founder_bio": "Co-Founder & COO @ Copperlane | UPenn M&T", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brianna-lin/", "x_url": "https://x.com/briannajlin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e148d2875818d32cc7e0c320484c5f1107da51b8.jpg" } ], "jobs": [ { "id": 111227, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/copperlane/jobs/RW3yRBp-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$140K - $220K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "React", "TypeScript" ] } ], "news": [], "launches": [ { "id": 98441, "title": "Copperlane - AI Native Mortgage Loan Origination", "tagline": "We help mortgage lenders close loans faster", "body": "Hey! We’re [Athan](https://www.linkedin.com/in/athanzhang/) and [Brianna](https://www.linkedin.com/in/brianna-lin/), the cofounders of [Copperlane](https://www.copperlane.ai/) (YC W26).\n\nCopperlane helps **mortgage lenders originate loans faster and eliminate intake errors**. Our AI agent Penny proactively closes loans by optimizing rate pricing, directing borrowers, and verifying docs. Loan officers receive complete files and can focus on bringing in new deals.\n\n[Copperlane Launch Video](https://youtu.be/-7Z8CI0O-GE)\n\n**The Problem**\n\nIt costs lenders $11,800 to originate a single mortgage. Most of that money is burned during intake:\n\n* Loan officer labor\n* Lost loans from confusing applications, back-and-forth, and bad rates\n* Costly mistakes from poorly structured files\n\nAll of these issues share the same root cause: people miss things. Borrowers upload the wrong documents, and lenders have to chase down borrowers to clarify details. This happens on almost every loan, every day, across 8 million loans a year.\n\n**Our Solution**\n\nCopperlane is an **AI-native loan origination system** powered by our agent, Penny, who behaves like a real loan officer by:\n\n1. Pulling borrower documents, reading them, and checking borrower loan eligibility\n2. Answering borrower questions live and helping them complete the loan application correctly\n3. Flagging missing documents or conflicting information and following up with borrowers\n4. Generating Letters of Explanation and building context around the applicant's financial profile\n\nPenny delivers complete, organized files to Loan Officers, so they can spend more time closing and bringing in business.\n\n**The Team**\n\nWe’re friends from the same hometown area, and we both come from mortgage families. \n\n* **Athan Zhang - CEO:**\n\n Studied CS at Princeton. Ex-quant developer and 2x founding team at startups.\n* **Brianna Lin - COO:**\n\n Studied CS and Finance at Penn M&T. Ex-Wall St. trader and 1st hire at prev. startup\n\n![uploaded image](/media/?type=post&id=98441&key=user_uploads/3082094/6e5874c4-9e0e-4bf0-9695-6cf967dbce94)\n\n**Our Ask**\n\nIf you KNOW ANYONE in mortgage lending who's frustrated with origination costs, cycle times, or loan fallout, we'd really appreciate an intro. ❤️\n\nYou can reach us at [founders@copperlane.ai](mailto:founders@copperlane.ai), or book a demo at [copperlane.ai](http://copperlane.ai). Thanks for reading! :)\n\nCarpe diem,\n\nAthan and Brianna", "url": "https://www.ycombinator.com/launches/Pbl-copperlane-ai-native-mortgage-loan-origination", "votes": 16, "created_at": "2026-03-04T07:38:43.342Z" }, { "id": 97631, "title": "Q2Q - AI Native Deal Sourcing for Private Equity", "tagline": "We help deal teams find acquisition targets faster", "body": "Hey! We’re [Brianna](https://www.linkedin.com/in/brianna-lin/) and [Claire](https://www.linkedin.com/in/claire-wu-2b30b6184/), cofounders of [Q2Q](https://www.tryq2q.com/) (YC W26).\n\nAt Q2Q, **you tell us the types of companies you want to buy, and we'll get qualified meetings booked for you**. Behind the scenes, we find private companies and run personalized outreach to get you first calls scheduled with off-market opportunities.\n\n[Q2Q Launch Video](https://youtu.be/am_2jrJbvWQ)\n\n**The Problem**\n\nProprietary sourcing is extremely manual for deal teams. Firms typically hire a mini army of juniors to do it for them, and the quality of output is inconsistent.\n\n* It takes a ton of time to hire and train analysts to run sourcing\n* Sourcing is a repetitive loop… research the company, write a custom email, then cold reach out to them\n* The entire industry relies on the same databases, so owners get flooded with the same generic outreach\n\n**Q2Q’s Solution**\n\nWe’re your team of AI analysts that gets you first calls booked with companies you want to buy. We handle:\n\n1. **Sourcing:** Tell us about your thesis. We’ll go find and qualify companies that match your buying criteria. \n2. **Outreach:** We pull owner contact info and research each company across the web and their socials to customize each outreach message.\n3. **AI Phone Agent:** Our AI agent can directly dial business owners and ask for their availability and contact info for a first meeting.\n4. **Bookings:** As owners respond, we book the intro calls for you. You can see meetings populate on your calendar with notes prepared by our team.\n\n**The Team**\n\nWe met through Penn’s M&T Program, where we both studied CS and Finance in Wharton.\n\n* **Brianna Lin - CEO**\n\n Previously at a software PE buyout shop and Jefferies\n* **Claire Wu - CTO**\n\n Worked as a hedge fund engineer and in product at Qualtrics\n\n![uploaded image](/media/?type=post&id=97631&key=user_uploads/3082094/ca53e7e8-7862-4c76-a580-b99052252693)\n\n**Our Ask**\n\nIf you answer “yes” to any of these, we’d appreciate your help!:\n\n* Can you introduce us to anyone in private equity, M&A, or the independent sponsor space who runs outbound deal sourcing?\n* Can you introduce us to any MBA friends or search fund guys looking for acquisitions?\n\nYou can reach us at [brianna@tryq2q.com](mailto:brianna@tryq2q.com) or [claire@tryq2q.com](mailto:claire@tryq2q.com), or sign up for a demo at [tryq2q.com](http://tryq2q.com). Thanks for reading! :)", "url": "https://www.ycombinator.com/launches/POh-q2q-ai-native-deal-sourcing-for-private-equity", "votes": 52, "created_at": "2026-02-08T19:11:32.904Z" } ] }, { "id": 31262, "name": "Talking Computers", "slug": "talking-computers", "former_names": [ "Standard Agent Labs", "Analytical Engine", "Speedtrain", "Also" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/128accc2541817ad412100385d460be4311cfcf8.png", "website": "https://talkingcomputers.ai", "all_locations": "Toronto, ON, Canada", "long_description": "AI lab building interaction models to make AI symbiotic with humans.\r\n\r\nOur early models sit at the Pareto frontier of intelligence and interactivity, measured by time to first audio token, and enable voice agents that are both highly capable and genuinely human-like", "one_liner": "Real-time interaction models for voice agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772563423, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Canada", "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/talking-computers", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/talking-computers.json", "year_founded": 2025, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/talkingcomputers", "x_url": "https://x.com/talkiecomputers", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/128accc2541817ad412100385d460be4311cfcf8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 1544132, "full_name": "Zayaan Mulla", "title": "Founder/CEO", "founder_bio": "Making computers talk. Prev CS @ Waterloo, Inference @ Modular", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zayaan-mulla-95412b1b1/", "x_url": "https://x.com/zayaanmulla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b18e9afefc56ab1e07542f46167146eaee32db4f.jpg" }, { "user_id": 2574490, "full_name": "Parsa Bahraminejad", "title": "Founder/CTO", "founder_bio": "Making computers talk. Previously CS & CO @ UWaterloo, Eng @ TextQL. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parsa-bahrami/", "x_url": "https://x.com/prsabahrami", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0531cd5f531bd64a76381754617bfd3424ed295d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98425, "title": "Talking Computers: The AI Communication Lab", "tagline": "Building Facility, The Workplace for AI", "body": "Talking Computers is a new AI Lab focused on Communication.\n\nWe believe communication is the key bottleneck to AI workforces powering every business & household in the world. We build AI computers that address this bottleneck.\n\nOur **AI Computer, TC-1, is a general agent with Ambient Intelligence**, meaning it can think in its subconscious whilst it does a task or communicates, just like humans do.\n\nAmbient Intelligence enables TC-1 to be a self-improving, proactive coworker, indistinguishable from a remote employee. TC-1 is great at interacting with humans and AI to complete long horizon tasks across all your channels. It is also great at using the web, all your tools, and can even build its own tools!\n\nYou can access TC-1 inside of our first product, **Facility, the workplace for AI**.\n\nThe workplace is changing from a human centric one, to one that is run by machines. **The** **Facility platform is home to your company’s parallel AI workforce**.\n\nIn Facility, each human employee of your organization gets their own AI computer, TC-1, that remembers everything about them and can do all their tasks across the web and all their systems. Their AI computer personalizes to them and learns their habits.\n\nFacility builds an intranet of all the AI computers in your organization, enabling communication between them. For the first time, your AI workforce can now speak to each other (and humans via Slack, Teams, and Email) to get tasks done.\n\nOur partners are the next generation of companies are supercharging their businesses with a fleet of AI computers that work round the clock for them inside of Facility.\n\nJoin them to deploy a 24/7 AI Workforce inside of your business. Get a demo of Facility today @ ", "url": "https://www.ycombinator.com/launches/PbV-talking-computers-the-ai-communication-lab", "votes": 9, "created_at": "2026-03-04T02:37:25.778Z" } ] }, { "id": 31263, "name": "Veriad", "slug": "veriad", "former_names": [ "Veriad", "Supafax" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaa1f350e1d2268092bb11e534ea52120e4c5b0f.png", "website": "https://veriad.com", "all_locations": "London, England, United Kingdom", "long_description": "Veriad is building marketing agents for enterprises to run advertising campaigns end-to-end in-house.", "one_liner": "AI operating system for advertising", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1767420715, "tags": [ "B2B", "Marketing", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/veriad", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/veriad.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/veriad", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eaa1f350e1d2268092bb11e534ea52120e4c5b0f.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": 891759, "full_name": "Rohan Mahendraker", "title": "Founder/CEO", "founder_bio": "Rohan is the co-founder and CEO of Veriad. He is a self-taught software engineer and has built and sold compliance software to Fortune 500s. Before Veriad, Rohan was a founding engineer at CoLoop (YC S21), where he built their eval suite and AI agent. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohanmahen/", "x_url": "https://x.com/mahendrakerr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a689f842d39bea432b3837aaa818059e77b62ee8.jpg" }, { "user_id": 1856834, "full_name": "Anton Muratov", "title": "Founder", "founder_bio": "Anton is the co-founder and Chief Commercial Officer of Veriad. He previously closed 7-figure deals with the largest bank in the US, the largest fashion group in the world, and advised Fortune 500s on regulatory policy. Before Veriad he advised YC startups and 9-figure scale-ups on GTM. In a previous life he was a competitive long-distance runner.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonmuratov/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0513900b0effe38e04606f4b39789d6f4a06c8c0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97377, "title": "Veriad: AI compliance officers", "tagline": "Automating marketing compliance so brands don't get cancelled or sued", "body": "Hi all, we’re Anton and Rohan, founders of Veriad.\n\n**TL;DR**\n\nMarketing teams are being held back by manual content reviews. Veriad automatically checks whether content is compliant with brand and legal guidelines so they can publish 10x faster.\n\n**Want to see Veriad in action? Book a demo here:**\n\n\n\n**Our Launch Video:**\n\n\n\n**Why This Matters**\n\nCompanies spend $1T on ads every year. $100B is wasted on ineffective ads due to non-compliance with brand guidelines, regulations, and platform best practices. So millions of lawyers, marketers, and compliance officers manually review every piece of content.\n\nThis process is slow, expensive, and about to break - AI tools are letting teams create 100x more content and human reviewers won’t be able to keep up.\n\n**Our solution**\n\nVeriad automates the entire process at scale. Our agent ingests brand policies, industry guidelines, and precedents, then analyzes every piece of content automatically - providing instant feedback to marketers. Veriad integrates directly into your marketing stack, to ensure that brand equity is protected across all surface areas.\n\n**Team**\n\n![uploaded image](/media/?type=post&id=97377&key=user_uploads/891759/79a75d50-6908-41d1-9369-1d2086d23ab5)\n\nWe met working at CoLoop (YC S21) where Rohan joined as employee #7 as a founding engineer and built out the agentic product line, and Anton advised the founders on GTM and Growth, having previously closed 7-figure deals with Fortune 10-500 companies.\n\n**Get in touch**\n\nIf you know/work at a consumer-facing company that fits **any of these** criteria, we’d love to chat:\n\n* Ad spend of $50M or more annually\n* Operates in an industry where advertising is regulated\n* Reviews thousands of marketing assets annually\n* Has a content review team / process\n* Faces bottlenecks in their ad approval workflows, with long waiting times\n\nPlease get in touch with us at [anton@veriad.ai](mailto:anton@veriad.ai) / [rohan@veriad.ai](mailto:rohan@veriad.ai)  or check out our website [veriad.ai](http://veriad.ai) to learn more and book a demo!", "url": "https://www.ycombinator.com/launches/PKb-veriad-ai-compliance-officers", "votes": 8, "created_at": "2026-02-01T21:24:29.420Z" } ] }, { "id": 31264, "name": "Vela", "slug": "vela", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/06e0dd16c2af788adc332865c74ea59fa44d4b7d.png", "website": "https://tryvela.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Scheduling one interview panel takes a dozen emails. Then someone moves a call and you start over. \r\n\r\nVela is an AI Scheduling Coordinator that handles it end to end. Just CC Vela on the thread like you would a person. It reaches out, finds times that work for everyone, chases the people who don't reply, reschedules when things change, and confirms. Over email, SMS, and WhatsApp, at any hour your candidate happens to respond.\r\n\r\nNo dashboard. No new workflow. Your team works the way it already works, without the scheduling.", "one_liner": "AI Recruiting Coordinator for Executive Search", "team_size": 15, "industry": "B2B", "subindustry": "B2B", "launched_at": 1770142827, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vela", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/vela.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryvela/", "x_url": "https://x.com/try_vela_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/06e0dd16c2af788adc332865c74ea59fa44d4b7d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/274418b204c6f79e79b10dbb49ef9720c52e6f35.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 1597904, "full_name": "Gobhanu Sasankar Korisepati", "title": "Founder/CEO", "founder_bio": "Gobhanu left Wharton's Huntsman Program to go all in on Vela. Ex- Perplexity & BCG AI. Z Fellow. Previously founded SWIFTmfi (a microfinance bank) at 14, disbursed loans across 77 countries.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gobhanu/", "x_url": "https://x.com/gobhanusk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b41fe3064b5639a30a639d5902eb72bcef8d153d.jpg" }, { "user_id": 2237040, "full_name": "Saatvik Suryajit Korisepati", "title": "Founder/President", "founder_bio": "Saatvik dropped out of UChicago (Booth Scholar, MBA/MS CS) to build Vela. Filed his first patent at 16. Previously an award winning engineer on AWS's ML Supercompute team. BS CS + IS from Carnegie Mellon. Z Fellow.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saatvik-suryajit-korisepati", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/498201a26f98ad4d9ea8f347b1177acb2613c3de.jpg" } ], "jobs": [ { "id": 94537, "title": "Founding Engineer @ Vela | Solving Scheduling", "url": "https://www.ycombinator.com/companies/vela/jobs/RCx5tKX-founding-engineer-vela-solving-scheduling", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $300K", "equity_range": "0.01% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Machine Learning", "Evals", "AI Agents", "AI Safety", "LangChain" ] }, { "id": 94929, "title": "AI Operations Associate", "url": "https://www.ycombinator.com/companies/vela/jobs/sv62rsO-ai-operations-associate", "location": "IN / Pune, MH, IN / Pune, Maharashtra, IN / Bengaluru, KA, IN / Bengaluru, Karnataka, IN / DL, IN / Delhi, IN / Chennai, TN, IN / Chennai, Tamil Nadu, IN / Remote (IN; Pune, MH, IN; Pune, Maharashtra, IN; Bengaluru, KA, IN; Bengaluru, Karnataka, IN; DL, IN; Delhi, IN; Chennai, TN, IN; Chennai, Tamil Nadu, IN)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "₹600K - ₹1M INR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 100909, "title": "Member of Technical Staff @ Vela", "url": "https://www.ycombinator.com/companies/vela/jobs/fbvQRtr-member-of-technical-staff-vela", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $300K", "equity_range": "0.01% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "ML", "Machine Learning", "Natural Language Processing", "Evals", "AI Agents", "AI Safety", "LangChain" ] }, { "id": 114064, "title": "Founding Customer Success Lead", "url": "https://www.ycombinator.com/companies/vela/jobs/eMkJlvY-founding-customer-success-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$110K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114066, "title": "Founding Recruiter, India", "url": "https://www.ycombinator.com/companies/vela/jobs/YLfFzDU-founding-recruiter-india", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Full cycle", "salary_range": "₹800K - ₹1.2M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97575, "title": "Vela: AI Scheduling That Adapts to How You Work", "tagline": "Automated white glove coordination for the most complicated workflows, without the headache.", "body": "## Hey everyone - we’re Gobhanu and Saatvik, founders of @Vela\n\n\\\n**TL;DR**\\\nThe first scheduling agent that handles the messy reality of coordination - negotiating times, coordinating interviews, prioritizing VIPs, and managing your calendar exactly like a human EA wherever you communicate (email, messages, phone calls, etc).\\\n\\\n\n\n**🧩 The Problem** \\\nMost scheduling tools assume the world is perfect. They expect rigid time slots and instant replies. But that is not how real business happens. Real business is \"Let's do early next week.\" Real business is a VIP client needing a slot over an internal catch-up. Real business is someone ghosting you for a week. Currently, we have three bad options:\n\n* **The Manual Way:** Personal but a massive time-sink that distracts from deep work.\n* **The \"Calendly\" Way:** Efficient but impersonal. It signals \"my time is more important than yours\" and breaks the moment you have complex constraints.\n* **The Human EA:** Great, but costs $80k/year and isn't available 24/7.\n\n**💡 The Solution** \\\nNow there's Vela. It is an autonomous agent built for the messy reality of coordination. It doesn't just book slots; it **negotiates** on your behalf with the white-glove service of a human executive assistant.\n\n**How it works:**\n\n* **The \"Just CC\" Workflow:** Write your message naturally: _\"Looping in Vela to find a time for us next week.\"_ Vela parses the conversation, checks your calendar, and reaches out to the other person directly to negotiate a slot. \n* **It Knows What’s Important To You:** Vela understands social hierarchy. It knows to prioritize a client over a coffee chat without you setting specific rules.\n* **It Handles Ambiguity:** You don't need to give it rigid parameters. Tell Vela \"Friday evenings are free,\" and it understands exactly what that means.\n\n**🔧 Traction & Story** \\\nWe built Vela because we saw high-performing teams drowning in admin work. Today, Vela is already used by the most demanding schedulers in the world - from **Enterprise Recruiters** scheduling thousands of multi-party interviews a week to **Startup CEOs** who need white-glove coordination at scale.\n\n**Our Team**\\\nWe are brothers who have been building together for years. Our last startup SWIFTmfi impacted millions across 77 countries! Together we combine experience from AWS ML & Supercompute, Perplexity, BCG AI, E&Y, Wharton (Huntsman), CMU, Georgia Tech, & UChicago - Booth.\n\n**🙌 The Ask** \\\nIf you are or know any high-volume schedulers with complicated needs (recruiting/staffing firms, sales teams, law firms, founders etc.), we’d love to hear from you and for you to try Vela.\n\nVisit [**tryvela.ai**](http://tryvela.ai) or email us directly at [**founders@tryvela.ai**](mailto:founders@tryvela.ai)", "url": "https://www.ycombinator.com/launches/PNn-vela-ai-scheduling-that-adapts-to-how-you-work", "votes": 17, "created_at": "2026-02-06T16:58:43.348Z" } ] }, { "id": 31269, "name": "MochaCare", "slug": "mochacare", "former_names": [ "HelpingHome" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8f0d0e6f741a56de1899f97dfa05142761a40372.png", "website": "https://www.mochacare.com/", "all_locations": "San Francisco, CA, USA", "long_description": "MochaCare is an agentic management service for care organizations. We handle hiring, scheduling, and client intake end-to-end so our partners can focus on growth.", "one_liner": "Agentic Management Service for Care Organizations", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1771654500, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mochacare", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/mochacare.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mochacare", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8f0d0e6f741a56de1899f97dfa05142761a40372.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 570409, "full_name": "Nicolas Walker", "title": "Founder/CEO", "founder_bio": "BSCS, MSCS @ Stanford. Focused on AI/HCI.\n\nPreviously worked at\n- Linktree: product engineering & growth experimentation\n- Spotify: personalization and product\n- Amazon (AWS): software engineering, data\n- Microsoft (Azure): software engineering, IoT\n\nI'm a former caregiver and have led a community service org with 300+ volunteers.\n\nI'm very grateful to be working in the care industry. My grandparents raised me as a child and giving back to our aging population is incredibly fulfilling for me.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nick-h-walker", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68af71c905e4fa8524e39f8b47c23c3b6a89eb5f.jpg" }, { "user_id": 1148838, "full_name": "Pranav Uppiliappan", "title": "Founder/CTO", "founder_bio": "Co-Founder @ MochaCare | Masters in CS @ UIUC \n\n- AI Agents @ GoDaddy\n- ML Research Fellow @ UCSB\n- SWE @ DecisionMinds\n\nI spent eight years doing companion care for neurodiverse people and worked with US Congress to support legislation in the space. My grandparents also played a big role in my life (my grandpa taught me the times table).\n\nNow I'm building MochaCare — the AI-native management service that supports care organizations that support older folks and neurodiverse people.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pranav-uppiliappan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a409e12280388d3a35da45aedb136e95d3804522.jpg" } ], "jobs": [ { "id": 94564, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/mochacare/jobs/uLiequC-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Machine Learning", "AI Agents" ] } ], "news": [], "launches": [ { "id": 98296, "title": "MochaCare – Grow Your Home Care Agency with Human Virtual Assistants Supercharged by AI", "tagline": "Home care's growth service", "body": "**MochaCare** ([mochacare.com](http://mochacare.com)) unlocks home care agency growth with human virtual assistants supercharged by AI. We take hiring, scheduling, or both off agencies' plates so they can spend less time drowning in ops and more time building relationships in their communities. \\\n\\\nEverything we do generates data insights that surface growth opportunities, from referral leads to sales enablement during intake calls.\n\n![uploaded image](/media/?type=post&id=98296&key=user_uploads/570409/6292e9a2-6ebc-4f33-9cf0-1e60f6c1ca3f)\n\n\\* Note: a home care agency is a company that hires and manages caregivers on behalf of people seeking care. These caregivers typically work with clients in their homes or in facilities.\n\nWe personally embed into the agencies we work with. Our AI hiring and scheduling agents handle most tasks for us, but we are always monitoring the feed and jumping in if emergencies arise.\n\nNick goes to bed at 3:30am and Pranav wakes up at 3:30am to guarantee 24/7 coverage.\n\n**What problem are you solving?**\n\n1. **Home care agency operators** want to deliver quality care to their communities, not to stay glued to their phones 24/7 handling hiring and scheduling. They’re burning out and are unable to grow their businesses.\n2. **Families** want reliable care. They need to know that the best caregivers are going to show up for their loved ones at the right time and need home care agencies to be energized so they can deliver their best care. Scheduling and hiring mishaps erode the quality of care and cause service failures for these families.\n3. **Caregivers** want work quickly and don’t want to deal with manual data entry. They needed their next paycheck yesterday. Our hiring agents (including AI interviewers and interview coordinators) get them through the process swiftly. Once hired, they need to know about the best shifts for them. Our scheduling agents alert them to these and help them focus more on care and less on manual tasks like shift note entry.\n\n**Why are you working on this?**\\\nWe were both raised by our grandparents who gave the world to us. We want to live in a world where they receive the same quality care and attention that they gave us growing up. Currently, there’s a gap between that world and where we are today.\n\nWe’ve seen this first-hand. Home care operations can fall short—Nick’s grandma recently started receiving home care and had no caregiver show up on day one. We don’t want this to happen again.\n\nOn the other side of the equation, we’ve seen agency owners with the largest hearts feel hopeless about their work. We want to uplift these people and allow them to reclaim their time, get back to delivering care, and start growing their agencies.\n\nBy helping agencies deliver care more effectively, we protect the superheroes who care for our communities and the people who they care for, like our grandmas!\n\n**Our ask:**\\\nIntros to home care agencies, home health agencies, or anyone who advises seniors on care options (since these people typically know home care agencies).\n\nThank you for taking the time to read this!", "url": "https://www.ycombinator.com/launches/PZQ-mochacare-grow-your-home-care-agency-with-human-virtual-assistants-supercharged-by-ai", "votes": 8, "created_at": "2026-02-28T17:24:03.310Z" } ] }, { "id": 31271, "name": "VOYGR", "slug": "voygr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0f0bf8a667e6a150380872419b6209ced7f1423.png", "website": "https://voygr.tech", "all_locations": "San Francisco, CA, USA", "long_description": "VOYGR is a better maps API every agent and AI app will need. Google says '4.2 stars, open till 10 – VOYGR knows the chef left, wait times doubled, and locals moved on. Our intelligent local search combines accurate place data with fresh web context – news, articles, and events. We expand beyond 10-15 map attributes into infinite, queryable place profiles, enabling agents to reason and act in the real world.\r\n\r\nMaps are no longer browsed – LLMs/agents use them to reason and act. 20M+ apps/websites, up to 40% of search queries, and 20% of LLM prompts need local context. \r\n10-15 attributes per place are not enough for AI. Places change constantly - restaurants close, hours change, businesses move. LLMs struggle with semantic queries “Specialty coffee shops in SF with Wi-Fi, popular with YC founders”. Agents cannot reliably “parse half the internet” - they need real-world ontology\r\n\r\nWe’re experienced builders in maps, search, and ML to solve this. Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta. \r\n\r\nGoogle Places alone is a $XXB/Yr monopoly. Agents turn it into a transactional layer opportunity for local commerce and ads.", "one_liner": "Real-world place intelligence for AI apps and agents", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1769793909, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voygr", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/voygr.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/voygr-tech", "x_url": "https://x.com/VoygrTech", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0f0bf8a667e6a150380872419b6209ced7f1423.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": 325375, "full_name": "Vlad Baskakov", "title": "Founder/CEO", "founder_bio": "Vlad is the co-founder and CEO of VOYGR. He brings firsthand experience from Google Maps, where he led Product Strategy and GTM, bootstrapping new API products, shaping Maps–Gemini data sharing, and driving key improvements in merchant experience and offline ads. He has 15+ years of Growth and GM experience across mapping and its core markets – ridesharing and travel. He previously worked at McKinsey and holds an MBA from Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vladbaskakov", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/074af8ce088d5d3d385ada7afa7306f07c460cc3.jpg" }, { "user_id": 2548451, "full_name": "Yarik Markov", "title": "Founder/CTO", "founder_bio": "CTO, 20 years in tech, 10+ years of leading Infra/ML/Search at Google/Meta/Apple", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yarik-markov-b40b8341/", "x_url": "https://x.com/yamarkov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a72cab3850810f845ce9d08776ce18f56434e35.jpg" } ], "jobs": [ { "id": 93490, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/voygr/jobs/FYeofGm-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Kubernetes", "ML", "PostgreSQL", "Python", "Search" ] } ], "news": [], "launches": [ { "id": 122247, "title": "PlaceCall by VOYGR – The phone is the last API", "tagline": "Find the right businesses. Call them in parallel. Get answers, quotes, and bookings – all through one API.", "body": "Hey everyone 👋 We are Vlad and Yarik, founders of[ VOYGR](https://voygr.tech/), building tools for apps and agents to engage with local businesses. \n\nWe created[ PlaceCall](https://voygr.tech/placecall/) so apps and AI agents can call US businesses and get things done. Give it phone numbers and a task in plain English - or describe what you need, and it finds businesses to contact. PlaceCall navigates phone menus, waits on hold, talks to the business, and returns a structured outcome, transcript, and recording.\n\n\n\n☎️ **The problem**\n\nWe previously worked on Google Maps and Search, where we saw how hard it is to keep business information current. At VOYGR, we kept running into the same problem: sometimes the only way to verify whether a business is open is to call. So we built PlaceCall.\n\nOn July 4, we were driving through Portland looking for dinner. Google Maps said “Holiday hours may vary.” We tried AI assistants (Poke was trending then), but they couldn’t confirm which restaurants were open and taking walk-ins. Our own API found 15 sushi or Thai restaurants and called them in parallel. **Two confirmed they were open and taking walk-ins. One was marked closed on Google Maps.** Your app can find a restaurant, but someone still has to call.\n\nThis is the problem we kept seeing. “Are you showing the game tonight?” “Are you accepting new patients?” “Do you have this collectible in stock?” These answers often live with whoever picks up the phone.\n\n✅ **Why PlaceCall?**\n\n* **Task in, outcome out.** Describe what you need in plain English – no agent to build or configure. Get a structured outcome + transcript + recording.\n* **Parallel calls.** Contact multiple businesses at once to find availability or compare quotes.\n* **Discovery built in.** Don’t have phone numbers? PraceCall recommends the best venue, service, or vendor.\n\n**💻What developers are building**\n\nAt our hackathon, developers used PlaceCall to:\n\n* Check whether doctors were accepting new patients.\n* Get tire quotes from local shops.\n* Find stores carrying specific collectibles.\n* Run short phone surveys.\n\nSince then, we’ve secured pilots with **AI business assistants across travel, healthcare, and service dispatch.** They often need both parts: finding the right businesses and handling tasks over the phone.\n\n**💻Try it - first 250 calls free**\n\nUse PlaceCall through the API or connect your agent via MCP.\n\nSetup guide:[ ](https://github.com/voygr-tech/placecall)[**github.com/voygr-tech/placecall**](http://github.com/voygr-tech/placecall) or [**voygr.tech/placecall/**](http://voygr.tech/placecall/)\n\nMCP endpoint:[ **https://api.voygr.tech/mcp**](https://api.voygr.tech/mcp)\n\n**🤝 Our ask**\n\nTry PlaceCall on a real task and tell us what worked, what failed, and what’s missing. Building an app or agent that needs to call businesses? We’d love to hear what you’re building:\n\n**📩 [founders@voygr.tech](mailto:founders@voygr.tech)**\n\n**🌐 [voygr.tech](http://voygr.tech)**\n\n![uploaded image](/media/?type=post&id=122247&key=user_uploads/325375/c118df4b-4ab8-4dd3-b20a-de636aeed8ab)\n\n", "url": "https://www.ycombinator.com/launches/Vnj-placecall-by-voygr-the-phone-is-the-last-api", "votes": 104, "created_at": "2026-10-15T20:12:23.191Z" }, { "id": 97389, "title": "VOYGR: Validate & enrich your place data at scale", "tagline": "VOYGR delivers comprehensive, up-to-date information about places and local businesses 🌍", "body": "Hey everyone 👋\\\nWe’re Vlad and Yarik, founders of VOYGR.\n\nHave you ever asked ChatGPT for a restaurant recommendation, only to have it suggest a place that hasn’t been open in years?\n\nVOYGR is the most accurate API for companies to validate and enrich their place records at scale. We deliver comprehensive, up-to-date information about places and local businesses for AI apps, agents, and analytics. We also offer far richer place attributes than standard mapping APIs (for example, which sauna Justin Bieber frequents).\n\n\n\n👥 **Team**\\\nVlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta.\n\n❌ **The problem**\\\nReal-world interactions rely on mapping data: 15M+ websites, 40% of search queries, and up to 20% of LLM prompts need local context. Yet even a simple restaurant recommendation often fails: the place may no longer exist, there’s no menu-level search, or – god forbid – you need to ask something nuanced (“what’s available that’s gluten free?”).\n\nThe gap is place data – it goes stale, and the attributes are shallow. Google Maps API comes with strict terms, but companies need flexible access, plus analytics and the ability to match against proprietary data.\n\n✅ **Our solution**\\\nVOYGR keeps place data accurate and current at scale. We confirm what’s live, resolve inconsistencies, and combine rich, fresh web context like news, articles, and events. \n\n1. **Place validation & operating status** – Confirm a place exists and is currently operating. We detect discrepancies, rebrands, and closures.\n\n ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/d5166513-44d4-48ab-9110-038e33ccf735)\n\n2. **Place data enrichment** – Populate and continuously enrich place records using web, social, and authoritative data sources, from foundational attributes (address, category, contacts, web presence) to operating data (hours, features, amenities, etc.).\n\n ![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/a03fce95-2f7b-4999-8781-b792590f5a6b)\n\n\n🎯 **Who it’s for**\\\nTeams with large-scale place data and real-world ops: mapping, geospatial analytics, transportation & logistics, search/discovery apps. We support a broad range of industry workflows: transaction enrichment for banks and issuers, property indexing for real estate, site selection for retail, sales territory planning, ads measurement, and more.\n\n🤝 **Our ask**\\\nWe’re looking for customers and design partners who have place datasets and high freshness requirements. If you’re building anything where “local” matters, we’d love to talk!\n\n📩 [founders@voygr.tech](mailto:founders@voygr.tech)\\\n🌐 [voygr.tech](http://voygr.tech)\n\n**Maps tag places** – **VOYGR understands.**\n\n![uploaded image](/media/?type=post&id=97389&key=user_uploads/325375/69faf142-ab22-4eda-b7ac-7f273e2e4492)\n\n", "url": "https://www.ycombinator.com/launches/PKn-voygr-validate-enrich-your-place-data-at-scale", "votes": 42, "created_at": "2026-02-02T15:42:27.355Z" } ] }, { "id": 31273, "name": "SpotPay", "slug": "spotpay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86338b0909975d76f85bd358ddf08742a3e504aa.png", "website": "https://www.spotpay.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "SpotPay is a global borderless neobank. We give users one account that works for everything payments related: receiving money from abroad, paying locally, spending anywhere with the SpotPay card and saving and earning on their balance.", "one_liner": "Stablecoin Global Bank Account", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1767931304, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "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/spotpay", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/spotpay.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/spotpay-hq/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/86338b0909975d76f85bd358ddf08742a3e504aa.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": 2963544, "full_name": "Zsika Phillip", "title": "Founder/CEO", "founder_bio": "Founder and CEO at SpotPay.\nPreviously Lead Engineer at Google (Monetization, Cloud, YouTube).\nZsika grew up between the Caribbean and Latin America and experienced firsthand how slow and unreliable it is to move money home and pay for everyday life.\n\nGrowing up in the Caribbean, Zsika was a competitive track-and-field athlete, running against a then-up-and-coming Usain Bolt. His personal bests include 10.3 in 100M and 21.7 in 200M.\n\nZsika got his MBA Stanford and CS Degree from Purdue.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zsika/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66b531fbab72d3c1ea81831ac883d343c8a5aad0.jpg" }, { "user_id": 2967213, "full_name": "Thomas Cesare-Herriau", "title": "Founder/CTO", "founder_bio": "Founder and CTO of SpotPay.\n4th Engineer at Brex, I grew to Principal Engineer.\nThroughout the 6 years I led teams and departments across Financial Products and Platforms.\nI was at Google for a bit but it was too slow. On the plus side though, I met my future cofounder there!\nFrench.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomascesareherriau/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d974444037fd65da5ffc8b2c91fb26ae68e41e2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98487, "title": "SpotPay - Your Global Bank Account", "tagline": "We let anyone, from anywhere, use modern payment services like digital banking, tap to pay and instant money transfer.", "body": "**TL;DR**\n\nSpotPay is a global neobank that lets people spend, send and receive money anywhere in the world from a single account.\n\nWe’re building the next generation of financial services powered by modern blockchains and stablecoin technology.\n\n\n\nAnd SpotPay is taking off! 🚀🚀\n\nWe launched just over two months ago and today we’re already **live in 40+ countries**. On average, our TPV (Total Payment Volume) is growing **43% week over week**, and our user base is growing **27% week over week**. Along the way we’ve sat down with **country leaders, large companies and central bank governors** – all sharing a common excitement around SpotPay and the future of global payments. We’re just getting started!\n\n![uploaded image](/media/?type=post&id=98487&key=user_uploads/2963544/30c07567-701e-4b46-a7ff-a7d61fffc8aa)\n\n**Hey, we’re Zsika and Thomas.**\n\nWe kept noticing the same thing through our lived experience. Modern financial tools continue to feel like a privilege reserved for the rich world. Even with the recent increase in remittance providers, most “innovation” simply stops at the sender side — while the receiver is still stuck with legacy ways of collecting, spending, and managing money.\n\nSo we’re building SpotPay to change that.\n\n* SpotPay provides every user with a **verified wallet** that’s tied to their real identity. That foundation lets us issue a **SpotPay Credit Card** and integrate seamlessly with **Apple Pay / Google Pay** — even for users who don’t have a bank account in their home country.\n* SpotPay also allows merchants to **accept QR code payments** – avoiding the high card processing fees and gaining access to instant payment settlements since all SpotPay payments are settled on the blockchain. For SMBs, instant settlement often means they can utilize revenue from their sales up to **24 hours faster** than they would using traditional finance and maintain healthy cash flows as a result.\n\n**Who is SpotPay for?**\n\nEveryone.\n\nWe believe everyone deserves access to modern financial tools — **especially the hundreds of millions** of people around the world who are still unbanked or underbanked.\n\nBecause SpotPay verifies each user with their real identity, you **do not need a traditional bank account to use it**.\n\nImagine sending money to your aunt in another country, and within seconds she can tap her phone to pay for coffee at a local café.\n\nNow imagine this and countless similar scenarios multiplied across 40+ countries around the world. These are the kinds of early use cases we are already seeing.\n\nWe believe that a person’s financial life should not depend on where they live, or what banking system they happen to inherit. We’re building SpotPay to make modern money a reality for everyone, everywhere.\n\n![uploaded image](/media/?type=post&id=98487&key=user_uploads/2963544/2f7bcb62-c7e0-49c8-93d3-bae98ef6c830)\n\n**About Us:**\n\n**Zsika** previously worked as a tech lead and PM at **Google** on several products including **YouTube Monetization, Ads Monetization, and Google Cloud**. Zsika grew up between the Caribbean and Mexico so the solution SpotPay is building is very close to him.\n\n**Thomas** was engineer #4 at **Brex**, where he was most recently a Principal Engineer. He has spent years building financial products and infrastructure at scale. Thomas also worked as a Software Engineer at **Google**.\n\n**How you can help:**\n\n📱 **Download SpotPay today!** — there’s a good chance we already support the country you’re from and the country you live in, even if those are different places :).\n\n💬 Share this with anyone who travels, sends money internationally, or receives money across borders.\n\n🌍 Tell us the countries where you’d like to see SpotPay next.\n\nDownload here:\\\n\n\nFrom SpotPay with 💜", "url": "https://www.ycombinator.com/launches/PcV-spotpay-your-global-bank-account", "votes": 21, "created_at": "2026-03-05T04:44:15.649Z" } ] }, { "id": 31274, "name": "Khotan (formerly Pollinate)", "slug": "khotan", "former_names": [ "Polinate", "Pollinate", "Khotan" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b23ce152528185e61986e56941165e5686edcb24.png", "website": "https://www.khotan.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Khotan is the platform for forward-deployed engineers to rebuild operations as software and maintain them. It combines your context with the infrastructure harnesses need to deploy, share, and maintain each application.\r\n\r\nAcross procurement, supply chain, finance, and operations, we’ve rebuilt the systems businesses cannot afford to get wrong.\r\n\r\nLearn more at khotan.com", "one_liner": "FDE as a platform for rebuilding critical operations in software.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1769216179, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/khotan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/khotan.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104852164/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b23ce152528185e61986e56941165e5686edcb24.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 2733270, "full_name": "Adeep Mitra", "title": "Founder/CEO", "founder_bio": "I’ve built and scaled an agency to 5 figures at 17, whilst driving community events with partnerships involving A-list artists generating 1M+ impressions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adeep-mitra-b71030277/", "x_url": "https://x.com/adeepmi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51400c5226795247a26f2a31eca56732d6bbcaf8.jpg" }, { "user_id": 2763766, "full_name": "Corey Berther", "title": "Founder/CTO", "founder_bio": "Was sent to coding camps at 12 years old, ran an electronics business by 16 and a tech house by 18. \n\nDropped out of a rocket science degree, to reinvent forward deploying. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/corey-berther/", "x_url": "https://x.com/boreycerther", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84e60938bdb4db27ae3290ab973d1963da3eff71.jpg" } ], "jobs": [], "news": [ { "title": "The Brisbane start-up tackling the “tech tax” on food | FaBA", "url": "https://faba.au/news/the-brisbane-start-up-tackling-the-tech-tax-on-food/", "date": "Mar 18, 2026" }, { "title": "Supply chain solutions startup Pollinate joins Y Combinator", "url": "https://www.businessnewsaustralia.com/articles/brisbane-startup-pollinate-joins-y-combinator.html", "date": "Jan 19, 2026" } ], "launches": [ { "id": 97523, "title": "🦋 Pollinate – Agents that automate data entry into your ERP built in days not quarters.", "tagline": "We automate supply chain operations by building custom tools from your existing ERP. Deployed in days instead of quarters.", "body": "\n**❌ Problem: Supply chain teams waste 40% of their time on manual work that their ERP should handle.**\n\nOff-the-shelf tools force you to change your workflows. Custom development takes 6-12 months. So your operations team ends up running critical processes in spreadsheets - invoice reconciliation, vendor management, just-in-time production scheduling.\n\n**✅ Solution: Pollinate builds the exact tools you need, automatically.**\n\nOur platform connects to your ERP and enriches the data. We then leverage this data to generate custom applications and agents that are bespoke to your workflows. What used to take quarters of dev time now deploys in days.\n\n**How it works:**\n\n1. Connect your existing ERP & data sources.\n2. We automatically map your data structure and identify operational patterns\n3. We ship custom tools for invoice processing, production scheduling, vendor management\n4. Your team works in tools built for _your_ processes, not generic ones\n\nWe're already processing $100k+ in purchasing volume through automated workflows our customers couldn't build themselves.\n\nOur customers use our agents to automate:\n\n1. Order processing from email, text or phone straight into their ERP systems. \n2. Three way invoice reconciliation for suppliers who need to match purchase orders and receipts to thousands of vendor invoices.\n3. Just in time production for hardware teams managing assembly of their product.\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/7dfc551c-169f-4457-b199-3cdeb020549d)\n\n**Why now?** We’ve built point solutions for our customers and saw first hand that supply chains are infinitely unique and always break at scale. As code becomes a commodity we see an opportunity to finally bridge the gap between software and supply chain operations.\n\n**Ask**:\n\nSick of working supply chain operations in spreadsheets? We'd love to show you a demo\n\nKnow hardware companies scaling their supply chains? Intro us at \\[[adeep@pollinate.tech](mailto:adeep@pollinate.tech)\\]\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/0e97a9bd-7877-479a-8a5a-29a210ffa63a)\n\n", "url": "https://www.ycombinator.com/launches/PMx-pollinate-agents-that-automate-data-entry-into-your-erp-built-in-days-not-quarters", "votes": 30, "created_at": "2026-02-05T08:47:19.793Z" } ] }, { "id": 31275, "name": "Polymorph", "slug": "polymorph", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af2182548989fa235c8008d9a0adbb85f447cb83.png", "website": "https://usepolymorph.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Team has extensive startup, AI, and math backgrounds: \r\n- founding engineer at a unicorn\r\n- ML infrastructure @ Scale AI (inference), AWS Bedrock (fine-tuning)\r\n- ads engineering @ Meta & Twitch\r\n- IMO & IOI medalists", "one_liner": "Building secure polymorphic apps", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771290879, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/polymorph", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/polymorph.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usepolymorph", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af2182548989fa235c8008d9a0adbb85f447cb83.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": 154810, "full_name": "Andrew Sy", "title": "Founder/CEO", "founder_bio": "Building Polymorph\npreviously built Scale AI's ML inference infra (10mil+ calls/day), ex-Meta, Opal", "is_active": true, "linkedin_url": "https://linkedin.com/in/andrew-sy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/798d2b4a0f31fa8e88a40756a446823e81195ffa.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31276, "name": "TensorTest", "slug": "tensortest", "former_names": [ "Ritivel", "ritivel", "Ritivel" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d28967db9fc99eca39bf1e1c109e9fdfea90d7.png", "website": "https://www.tensortest.com", "all_locations": "San Francisco, CA, USA", "long_description": "TensorTest (formerly Ritivel) builds evaluations, reinforcement-learning environments, and expert training data for AI labs developing creative agents, starting with video editing.\r\n\r\nAn agent can produce a valid video file without delivering an edit that meets the client’s brief. Labs need reliable ways to measure creative quality, identify failures, and give agents feedback they can learn from.\r\n\r\nOur first benchmark, TimelineBench, gives agents client video-editing jobs with raw footage, audio, and a brief. It evaluates the finished work using a verifier calibrated on thousands of blind judgments from professional editors. Across 16 agents we tested, the best passed only 26.8% of jobs. Most failures came down to creative craft rather than broken output.\r\n\r\nWe offer labs private evaluations to identify where their models fail, training environments that use our verifier’s scores as rewards, and expert-created training data, including professional editing demonstrations, preference pairs, and grading rubrics. These offerings connect evaluation to training: identify what an agent gets wrong, provide feedback on its attempts, and supply examples of better work.\r\n\r\nOur team comes from IIT Bombay and has trained language models and built agentic systems at Microsoft Research.", "one_liner": "Evals, RL environments and training data for creative tasks", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768402832, "tags": [ "B2B", "Data Labeling", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tensortest", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/tensortest.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tensortest", "x_url": "https://x.com/TensorTestTeam", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/93d28967db9fc99eca39bf1e1c109e9fdfea90d7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/08801caf36f28c46fcbe90fb9027153da2f4d83b.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 939300, "full_name": "Pavan Kalyan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO @ TensorTest. \nPrev. @ Microsoft Research focused on training language models. \nGraduated from IIT Bombay with Btech + Mtech in Electrical+AI. \nPublished @ Neurips, ACL, Interspeech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tankalapavankalyan/", "x_url": "https://x.com/tpavankalyan23", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4b428e18d2e496d8d83d3de399dea8a25b3bd5c.jpg" }, { "user_id": 2779196, "full_name": "Nirmit Arora", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Ritivel. Prev @ Microsoft Research focused on making agentic systems safe. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nirmitarora", "x_url": "https://x.com/NirmitArora26", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3fc19dad7b2d51a113e38f3a00002d8716a82df6.jpg" }, { "user_id": 2979021, "full_name": "Gunin Gupta", "title": "Founder/COO", "founder_bio": "Cofounder and CBO @ Ritivel. \nPrev. @ AT Kearney focused on sustainability and energy process industries.\nGraduated with a bachelor's from IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guningupta/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/492637c609ab817e2febf7aa88286156cb2f269e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97327, "title": "Ritivel 💊 AI-native platform for Regulatory Document Submission", "tagline": "We help regulatory teams at pharma companies submit FDA documents 12x faster", "body": "Hey everyone 👋\n\nWe're Pavan (PK), Gunin and Nirmit – co-founders of Ritivel.\n\n## **TL;DR**\n\nRitivel is an AI-native workspace for regulatory and medical writing teams at life sciences companies. Our AI agents draft CTDs, CSRs, INDs, and BLAs in minutes instead of weeks, helping drugs reach patients faster.\n\n**Ask:** Can you introduce us to regulatory affairs leaders or CISOs at pharma companies? Contact us at [pavan@ritivel.com](mailto:pavan@ritivel.com)\n\n\n\n## **❌ The Problem**\n\nEvery month a drug is delayed from reaching the market costs pharma companies \\~$45M in lost revenue and more importantly, delays treatment for thousands of patients who need it.\n\nYet regulatory teams are stuck in a painful, months-long process to create FDA submissions like CTDs, CSRs, INDs, and BLAs:\n\n**1. Information overload** 📚 These submissions require synthesizing thousands of pages of clinical data, prior submissions, and regulatory guidance which is an overwhelming task even for experienced teams.\n\n**2. Document hunting & version chaos** 🔄 Teams waste hours digging through SharePoint folders, juggling multiple document versions, and chasing colleagues for the right files.\n\n**3. Endless follow-ups** 📧 Regulatory leads spend their days sending reminder emails, tracking down missing inputs, and managing status updates across teams.\n\n**4. Manual drafting bottlenecks** ⏳ Even with all the information gathered, the first draft alone takes weeks of painstaking work by highly specialized (and expensive) regulatory writers.\n\n---\n\n## **🔧 Our Solution**\n\nRitivel deploys AI agents that transform how regulatory teams work:\n\n**Draft the most common document types like CTDs, CSRs, INDs, and BLAs in minutes** ✍️ Our agents generate comprehensive first drafts directly in Microsoft Word, following FDA formatting requirements and pulling from your existing clinical data and prior submissions. Every data point includes citations linked back to the original source, so reviewers can verify with one click.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/4d8b39f8-8230-4dcd-b654-c51b595d124e)\n\n**Intelligent document retrieval** 🔗 Connected to SharePoint and Veeva, our agents automatically source the right documents from across your organization: no more digging through folders or chasing down files.\n\n**Automated follow-ups** 📧 Integrated with Outlook, our agents handle reminder emails and follow-ups automatically, so you're not stuck chasing colleagues for missing documents.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/aa5a53c8-8d14-4c11-a20c-fecd59724cae)\n\n**Accelerated project management** 🚀 By automating the document gathering and drafting loop, teams can focus on review and refinement rather than administrative overhead.\n\n\\\n**👬 The Team**\n\nWe're engineers who previously built AI copilots at Microsoft Research. We saw firsthand that we could create better, more specialized copilots for complex workflows.\n\nWe started by selling a generic copilot to process-heavy industries like life sciences to understand their regulatory workflows. After 50+ conversations with pharma professionals, we discovered the critical bottleneck in regulatory submissions and built Ritivel to solve it.\n\n![uploaded image](/media/?type=post&id=97327&key=user_uploads/939300/3447cd20-7180-467d-919f-e6ddb5839d7a)\n\n## **🙏 Our Ask**\n\n* **Know someone in pharma regulatory affairs?** We'd love an intro to regulatory affairs leaders or CISOs at pharma companies → [founders@ritivel.com](mailto:founders@ritivel.com)\n* **Work at a life sciences company?** Try Ritivel and see the difference →[ ](https://www.ritivel.com/)[www.ritivel.com](http://www.ritivel.com)\n\n---\n\n_Your intro could help get life-saving drugs to patients faster. Thank you!_", "url": "https://www.ycombinator.com/launches/PJn-ritivel-ai-native-platform-for-regulatory-document-submission", "votes": 172, "created_at": "2026-01-30T17:40:28.395Z" } ] }, { "id": 31278, "name": "Zymbly", "slug": "zymbly", "former_names": [ "Zymbly AI", "Zymbly", "Zymbly AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/15c98b3bf7b3907fd2d08caff7a209dd0bc20fd3.png", "website": "https://www.zymbly.com", "all_locations": "London, England, United Kingdom", "long_description": "", "one_liner": "The decision-support layer for aviation ops teams to know what to do…", "team_size": 0, "industry": "B2B", "subindustry": "B2B", "launched_at": 1768869245, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zymbly", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/zymbly.json", "year_founded": null, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/zymbly", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/15c98b3bf7b3907fd2d08caff7a209dd0bc20fd3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1985014, "full_name": "Ben Jacob", "title": "Founder/CEO", "founder_bio": "Ben is the co-founder and CEO of Zymbly. Before Zymbly, Ben led Applied AI at Multiverse (backed by GV, General Catalyst, and Index). Ben started his career working with airlines on operational improvement. He worked with one of the world's largest airlines to recover their operations after the pandemic.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-jacob-a49a3165", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cfa0b43ebe5d9db10f46fe02ecaae42622e32d1.jpg" }, { "user_id": 3204552, "full_name": "Robbie Bourke", "title": "Founder", "founder_bio": "Robbie is the co-founder of Zymbly. \nAt Zymbly, he is building AI Agents to automate admin and troubleshooting for maintenance technicians.\nRobbie has spent 25 years in aviation as an executive, operator, engineering, investor and advisor. He is a qualified Aeronautical Engineer who led design teams at Airbus, was Head of Aircraft Maintenance at Virgin Atlantic, and a Partner in Oliver Wyman Aviation & Aerospace practice helping Airlines and MRO's become more efficient. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robbie-bourke-775494b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41863bd48c1b2a52bac35423fd0a9c49ff39321a.jpg" }, { "user_id": 634734, "full_name": "Azmat Habibullah", "title": "Founder/CTO", "founder_bio": "Azmat is co-founder and CTO of Zymbly. He holds a Master's in Mathematics from Imperial College London, where his research focused on the geometry of quantum mechanics. He started hacking at the age of 11 and spent 4 years building ML models and software for enterprises in highly regulated industries. He's also a competitive weightlifter and aspiring polyglot.", "is_active": true, "linkedin_url": "https://linkedin.com/in/azmat-habibullah", "x_url": "https://x.com/azmathabibullah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1f8eb873ff1cfafe6ccc33ae58ca154f5274b62c.jpg" } ], "jobs": [ { "id": 94540, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/zymbly/jobs/ueWPYCh-forward-deployed-engineer", "location": "San Francisco, CA, US / London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.50% - 1.25%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 97433, "title": "Zymbly: The Copilot for Aircraft Maintenance", "tagline": "Doubling aircraft technician productivity through agents that do the busy work", "body": "**Ben, Azmat,** and **Robbie** here; co-founders of **Zymbly (YC W26)**. \n\nZymbly doubles productivity for aircraft technicians with AI. Our agents automate troubleshooting and paperwork. Technicians get to spend their time doing the work they actually signed up for; maintaining planes.\n\n\n\n**The Problem:**\n\nAirlines have a maintenance capacity bottleneck. It is holding back growth.\n\nIn North America alone, there is a shortage of 43,000 technicians forecast by 2027 (25% shortfall). Boeing estimates 710,000 new technicians are needed in the next 20 years.\n\nTechnicians are their most precious resource. Yet, technicians lose half their day to:\n\n1. **Troubleshooting:** finding the information needed to fix issues and replace parts can take hours as the information is spread across tens of thousands of pages.\n2. **Paperwork:** Any work that is performed needs to be rigorously documented according to pre-defined standards\n\nWe hear _“It takes me 5 mins to change a bulb, but 45 minutes to do the paperwork”_ and similar sentiments every day.\n\n**How Zymbly Solves It:**\n\nZymbly’s voice-first agents surface answers across manuals, local procedures and historical defects. Zymbly surfaces the right solutions and orders the correct parts. It turns voice notes into compliant documentation and audits actions to ensure technicians haven't missed critical steps.\n\n**Who We Serve:**\n\nOur customers are maintenance teams either inside airlines, or working for airlines.\n\nOur users are the technicians who keep your planes safe. They prefer to spend their time working on the aircraft, not on admin.\n\nWe’ve developed our platform through a design partnership with a major global airline.\n\n**About Us:**\n\n![uploaded image](/media/?type=post&id=97433&key=user_uploads/1985014/00193636-6c7c-43d9-af51-fc4641dd1076)\n\nRobbie Bourke was Head of Maintenance at Virgin Atlantic and a lead engineer at Airbus.\n\nBen Jacob worked with airlines to recover their operations post-pandemic and led Applied AI at Multiverse (backed by GV/GC/Index).\n\nAzmat Habibullah combines hacking from age 11 with building enterprise software in regulated industries.\n\n**Our Ask:**\n\nIf you work in aviation maintenance or know someone who does we would love to get connected! \n\n[ben@zymbly.com](mailto:ben@zymbly.com)", "url": "https://www.ycombinator.com/launches/PLV-zymbly-the-copilot-for-aircraft-maintenance", "votes": 26, "created_at": "2026-02-03T03:58:11.565Z" } ] }, { "id": 31280, "name": "Rubric AI", "slug": "rubric-ai", "former_names": [ "Bazaar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/76cd968796cb7fcfbf591c0c9f9bb7cdf5683449.png", "website": "", "all_locations": "New York City, NY, USA", "long_description": "Rubric AI (backed by Y Combinator) is the reasoning and verification infrastructure for AI. We're building the human and computational layer that turns expert judgment into training signals for the world's most consequential AI systems.", "one_liner": "Reasoning and verification infra for AI", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772427101, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "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/rubric-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/rubric-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/rubric_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/76cd968796cb7fcfbf591c0c9f9bb7cdf5683449.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 606516, "full_name": "Pragya Saboo", "title": "Founder/CEO", "founder_bio": "cofounder at Rubric AI; previously product at Asana, Oscar Health, and Apella", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pragyasaboo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e3ff98a3daf0b4465d4b36b64ca30b6837ead28.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98690, "title": "Rubric AI", "tagline": "Reasoning and Verification for AI Agents", "body": "Hi YC! 👋 \n\nI’m Pragya, co-founder of Rubric AI. \n\n**Tl;dr:**\n\nRubric AI is building the human and computational layer that turns expert judgment into training signals for frontier models and agents. We believe that shaping the world's most consequential AI systems requires both purpose-built training environments and exceptional judgment.\n\n**Launch Video:**\n\n\n\n**The Problem** \n\nThere are now over 10,000 vertical AI companies deploying in specialized domains. They all face the same problem: generalist models can't reliably handle high-stakes, judgment-heavy work. While AI agents look impressive in demos, they frequently fail at runtime by selecting the wrong tools, failing to verify steps, or lacking the ability to recover from errors. These companies need their agents to reason and execute like domain experts, but the infrastructure to make that happen doesn't exist.\n\n**The Solution** \n\nRubric builds runtime reasoning infrastructure that turns expert judgment into training signals for frontier models and agents. We build purpose-built reasoning environments, curate expert-verified reasoning traces, and plug in at test time to guide agents on how to reason, when they select tools, how they verify intermediate steps, and when they must escalate to a human, turning generalist agents into domain specialists.\n\n**The Team** \n\nOur co-founder Pragya has spent the last decade building complex products from scratch and scaling them. She was a product lead at Oscar Health through their IPO, built computer vision software for operating rooms at Apella, grew a women's health startup to profitability, and drove new product lines at Asana.\n\nOur founding team brings deep domain expertise across healthcare, coding, and finance, along with years of experience building large-scale infrastructure. We've shipped in high-stakes domains and know how to build for the scale this problem demands.\n\n**Ask**\n\n1. If you're deploying AI agents in a specialized domain and need them to reason like experts, we'd love to talk. Reach out at [team@therubric.ai](mailto:team@therubric.ai).\n2. If you're a domain expert in healthcare, finance, life sciences, legal, coding, or other high-stakes fields and want to shape how the next generation of AI systems learn to reason, we'd love to hear from you. Reach out at [team@therubric.ai](mailto:team@therubric.ai).", "url": "https://www.ycombinator.com/launches/Pfm-rubric-ai", "votes": 15, "created_at": "2026-03-11T17:36:10.140Z" } ] }, { "id": 31283, "name": "Ossus", "slug": "ossus", "former_names": [ "Librar", "Librar Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5d996045fb0f0538e45cf4f2a7445da3af339bb3.png", "website": "https://www.ossus.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build intelligence for cultural institutions.\r\n\r\nOur first commercial product is for the literature industry with a focus on school and public libraries. It is a AI-native OS for libraries, that helps librarians save time on tedious tasks and lets them focus on their patrons.\r\n", "one_liner": "Intelligence for cultural institutions", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1769303203, "tags": [ "Culture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ossus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/ossus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ossuscom/", "x_url": "https://x.com/ossuscom", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5d996045fb0f0538e45cf4f2a7445da3af339bb3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1669339, "full_name": "Jonathan Görtz", "title": "Founder/CEO", "founder_bio": "A universe is the only challenge worthy of mankind.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jonathangortz/", "x_url": "https://x.com/jonathan_gortz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e38d7df5ee6490efae8c93e8608964756cb363a9.jpg" }, { "user_id": 1134023, "full_name": "Carl-Hugo Jacobsson", "title": "Founder", "founder_bio": "Big on scalable growth", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chjacobsson", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85c55fab6b57da7bd2287cd9954a09947a2e3696.jpg" }, { "user_id": 1144628, "full_name": "Kaan Sirin", "title": "Founder/CTO", "founder_bio": "chief librarian", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaan-sirin-b0a6321b6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/caafb1bd7ad5f412853eb4bc3866549002c555ce.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98598, "title": "Librar Labs: The AI librarian", "tagline": "AI library system that increases reading and saves time for library staff", "body": "The reading rates have hit an all time low. That’s why Librar Labs built the AI library system that helps library staff save time and increase the library’s impact.\\\n\\\nAI is able to navigate the digital world of literature in ways never seen before. This powerful technology is used to increase the output of the hundreds of schools using Librar, and is being adopted at a pace never seen before in publishing, library and archive tech history.\\\n\\\nThe team of quantum physicists, exited founders and dropouts are backed by founders and operators from OpenAI, Depict, Kahoot, Google Maps and many more to tackle the one of the greatest problems of our time.\\\n\\\nlibrarlabs.com", "url": "https://www.ycombinator.com/launches/PeI-librar-labs-the-ai-librarian", "votes": 11, "created_at": "2026-03-08T21:21:01.199Z" }, { "id": 97314, "title": "Librar Labs - AI for librarians", "tagline": "Librar takes care of the tedious work, so librarians can focus on building reading culture and community", "body": "![uploaded image](/media/?type=post&id=97314&key=user_uploads/1669339/2518baf4-5e9f-4fc4-af61-4cb76bd44e7d)\n\nAnnouncing Librar Labs - AI for librarians\n\nLibrarians spend countless hours on tedious work that they don’t like, but still have to do. Today, Librar is used in nearly 300 schools, helping librarians cut down on inventory, reporting, and acquisitions work so they can do what they are best at and enjoy the most: engaging with the community.\n\nOne of the most liked features is how the librarian with a photo of the shelf, Librar identify the items and can take inventory, analyze circulation or even just set up the library.\n\nOne of the Librar founders used to work as a librarian and saw the day-to-day challenges firsthand. Since managing a library is very challenging, we decided to build Librar to make it easier for everyone.\\\n\\\nIf you are (or know) any librarians or principals reach out to us on [linkedin](https://www.linkedin.com/in/jonathangortz) or mail: [jonathan@librarlabs.com](mailto:jonathan@librarlabs.com)\\\n\\\nGo to our website to find out about all the things Librar can do:\\\n", "url": "https://www.ycombinator.com/launches/PJa-librar-labs-ai-for-librarians", "votes": 27, "created_at": "2026-01-30T02:29:16.418Z" } ] }, { "id": 31284, "name": "Origami Robotics", "slug": "origami-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/483745ec0ce0b61b675293fca49bf8749c113c1d.png", "website": "https://www.origami-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are building a \"manipulate anything\" model with the robot hardware that embodies it. We designed a hand-based data-collection device and a high DOF, direct drive robotic hand that match each other exactly, enabling us to eliminate embodiment gap and collect real-world data and deploy it directly. We want to scale real world manipulation data by deploying our devices \"in the wild\" like manufacturing factories, logistic centers to collect Tesla like data, use these data to train our model and then provide automation solutions to these industries.", "one_liner": "Manipulate Anything Robot", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1770611317, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/origami-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/origami-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/origami-robotics-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/483745ec0ce0b61b675293fca49bf8749c113c1d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6764d2f825d2e2985e0d2dced9cc05f29cd656be.png" ], "primary_partner": { "name": "Ankit Gupta", "url": "https://www.ycombinator.com/people/ankit-gupta" }, "founders": [ { "user_id": 411575, "full_name": "Quanting(Daniel) xie", "title": "Co-founder", "founder_bio": "Roboticist (CMU RI); Building manipulate anything model", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/quanting-xie/", "x_url": "https://x.com/DanielXieee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97aff2005fe2b9ab948aa971ee88ab60d399530d.jpg" }, { "user_id": 1760667, "full_name": "Ryan Xie", "title": "Founder/COO", "founder_bio": "Serial hardware company founder. Working on something in physical AI space now", "is_active": true, "linkedin_url": "https://linkedin.com/in/quanliang-ryan-xie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9997dfd0459dc3de14e8a7179a6f4e08e72fbd4c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98503, "title": "Origami Robotics: Make AI to Learn Physical Skills Easier than Ever", "tagline": "Robotic hand and Data Collection Device Designed for Robot Learning", "body": "![uploaded image](/media/?type=post&id=98503&key=user_uploads/1760667/cab991fb-9782-494c-ac5d-e8c4d6263e58)\n\n## **TL;DR**\n\nOrigami Robotics builds **high-DOF hand with in-joint motors** and co-designed data-collection glove that matches each other exactly. This eliminates embodiment gap, enabling us to collect real-world data and deploy it directly to the hardware.\n\nWe already sold our hands to Physical AI Labs like Amazon to push frontier of general manipulation further.\n\nVideo: \n\nHi, We are Daniel and Ryan.\n\nDuring Daniel’s Phd’s period when he studied robot manipulation in CMU Robotics Institute, he has been kept run into the same wall. There are no existing robotic hand that is truly designed for learning, and a severe lack of high-quality manipulation data. The large transmission(Checkout Daniel’s [Dexterity Deadlocks](https://www.origami-robotics.com/blog/dexterity-deadlocks.html) Blog) often found in current robotic hands making dynamics of the hand extremely hard to model. And the embodiment gap(different kinematics, contacts, and sensing of the robotic and human hand) make the distribution of the data collected for training and real world deploying too large for any policy to pick up skills and do real useful tasks.\n\nTo solve this, Daniel teamed up with his brother Ryan, a fellow robot enthusiast and serial robotics entrepreneur. Together, Origami decided to build our own robotic hardware and find a way to scale up high-quality robotic data. By optimizing miniature motor design and co-designing our data-collection glove alongside our robotic hand, We minimized sim-real and embodiment gap that has been haunting the robotic research community. Now, we can scale up high-quality data collection for dexterous, real-world tasks.\n\nWith Origami Robotics’s Hand, you can enjoy the benefits of easily transferring learned skills from simulation to real-world scenarios. You can also leverage the thousands of hours of minimum-embodiment real data we’ve collected to train the exact manipulation policies you need.\n\n**Let’s fold some origamis and a better future together!**\n\n## **ASK**\n\nPlease like and share this post with anyone you think we should connect with, whether they are a robotics researcher or an industry professional looking for automation solutions. We would love to talk!\n\nEmail: founders@origami-robotics.com", "url": "https://www.ycombinator.com/launches/Pcl-origami-robotics-make-ai-to-learn-physical-skills-easier-than-ever", "votes": 17, "created_at": "2026-03-05T19:50:14.928Z" } ] }, { "id": 31285, "name": "Brumby (Formerly GrazeMate)", "slug": "brumby", "former_names": [ "GrazeMate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7f64c3261f306e1859d503d40ad84601c127c82.png", "website": "https://brumby", "all_locations": "Sydney, NSW, Australia", "long_description": "Brumby builds autonomous drones that herd cattle.\r\n\r\nOn command, our drones fly to a paddock, position themselves around the mob, and move them where they need to go. What used to take a full day of helicopters, motorbikes, and horses now runs on a schedule.\r\n\r\nWe work with some of the largest cattle ranches in the world. While the drones are herding, they're also estimating animal weights, measuring grass biomass, monitoring water levels, and flagging sick animals. We're building physical AI that lets a grazier manage thousands of head across millions of acres from their phone.", "one_liner": "Robot Cowboys that Herd Cattle with AI Drones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1768433444, "tags": [ "Reinforcement Learning", "Drones", "Computer Vision", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Agriculture" ], "regions": [ "Australia", "Oceania", "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/brumby", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/brumby.json", "year_founded": 2025, "city": "Sydney", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/105884860", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7f64c3261f306e1859d503d40ad84601c127c82.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": 2933487, "full_name": "Sam Rogers", "title": "Founder/CEO", "founder_bio": "CEO of Brumby.\n\nSpent half my life on a cattle farm, and the other half building robots.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samson-rogers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9019d14f0cd67dacb9f12edba5539dbeb3470e9f.jpg" } ], "jobs": [ { "id": 112676, "title": "Remote Pilot", "url": "https://www.ycombinator.com/companies/brumby/jobs/4L3nppN-remote-pilot", "location": "Sydney", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$85K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 112677, "title": "Embedded Systems Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/d4z6kbg-embedded-systems-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Bash/Shell", "C++", "Microcontrollers", "PCB design" ] }, { "id": 112678, "title": "Operations Associate", "url": "https://www.ycombinator.com/companies/brumby/jobs/n8GBsUB-operations-associate", "location": "Sydney", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 112679, "title": "Perception Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/A0m4omK-perception-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Machine Learning", "Deep Learning", "OpenCV", "Computer Vision" ] }, { "id": 112680, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/brumby/jobs/ar7aJ98-software-engineer", "location": "Sydney", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $160K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "iOS", "PostgreSQL", "Distributed Systems", "Terraform", "FastAPI" ] } ], "news": [ { "title": "GrazeMate Raises $1.2 Million As 19-Year-Old CEO Automates Cattle Mustering", "url": "https://www.forbes.com.au/news/innovation/grazemate-raises-1-2-million-19-year-old-ceo-cattle-mustering/", "date": "Jan 13, 2026" } ], "launches": [ { "id": 97388, "title": "GrazeMate (Now Brumby): Drones that Herd Cattle", "tagline": "We build autonomous “robot cowboys” that help ranchers move and monitor cattle.", "body": "**TL;DR** - Ranchers can spend hundreds of thousands per year moving cattle between fields. GrazeMate builds autonomous drone software to guide cattle - doing the work of helicopters and motorbikes with AI that understands animal behaviour.\n\n\n\n**❌ The problem**\n\nI'm Sam. I grew up on my family's cattle station in Australia, where we move cattle on motorbikes, helicopters, and horseback. It took hours each day and >$100k/year.\n\nIn the US, ranches spend anywhere from $10k–$1M per year and hours each day moving cattle just to keep them on fresh grass. It's expensive, risky, and hard to staff.\n\n**✅ The solution**\n\nGrazeMate's autonomous drones herd your cattle for you. What could take teams a full day now takes three clicks from a phone.\n\nOur system:\n\n* Finds your herd and guides them calmly to the next pasture\n* Uses AI that reads animal behaviour and applies pressure like an experienced stockman\n* Learns how your cattle respond and improves with every move\n\nWhy ranchers are switching:\n\n* More frequent moves → Better grazing, pasture use, and stocking rates\n* More affordable than traditional methods\n* Hours of herding → seconds on a phone\n* Real-time weight estimates, pasture data, and infrastructure insights\n\n![uploaded image](/media/?type=post&id=97388&key=user_uploads/2933487/a7e07817-bfde-4784-90ab-e4f9d16579b8)\n\n**🤠 Why us**\n\nMy family runs 6,000 head. I dropped out of robotics at University of Sydney after seeing both the challenges with modern ranching, and the capacity robotics has to help. Our team combines PhDs and engineers who grew up on ranches.\n\n**🙏 Our ask**\n\nWe're onboarding early partners. We’d be extremely grateful for introductions to:\n\n* Large grazing operations (US and beyond)\n* Ranch managers exploring rotational grazing\n* Industry leaders, cattle agents, feedlots, processors\n\nAnd if that’s you, schedule a demo on grazemate.com, or contact me at [sam@grazemate.com](mailto:sam@grazemate.com). I’d love to chat!", "url": "https://www.ycombinator.com/launches/PKm-grazemate-now-brumby-drones-that-herd-cattle", "votes": 30, "created_at": "2026-02-02T15:42:29.970Z" } ] }, { "id": 31287, "name": "DAIVIN!", "slug": "daivin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520915f1b23922d076f3d69ef70548eb14face.png", "website": "https://www.daivin.tech/", "all_locations": "San Francisco, CA, USA", "long_description": "DAIVIN! builds tankless dive gear that unlocks breath autonomy in extreme environments. Starting from underwater environment our mission is to remove the need for dangerous, heavy and bulky oxygen tanks in space, air and on land and replace them with water!", "one_liner": "Tankless Dive Gear - Breath Autonomy at Sea, Land & Space", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1768898093, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The idea started while diving. I surfaced, sat in a coffee shop, and asked a simple question: fish breathe underwater without tanks - why can’t humans? Diving gear is heavy, complex, and logistically constrained, yet the surrounding water already contains the oxygen we need. I looked into the physics and realized this wasn’t a biology problem, but an energy problem. By applying electricity to water, it’s possible to generate breathable oxygen on demand. That insight led me to start DAIVIN!. With support from my family and people along the journey, I committed full-time to turning that idea into a working system!" }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The core problem is that human access to the ocean is still constrained by heavy, pressurized gas tanks. Diving depends on transporting, storing, and managing large volumes of breathing gas, which drives cost, complexity, and risk.\r\n\r\nThis is a big problem because tanks scale poorly. Supporting a single diver for hours can require dozens of cylinders weighing hundreds of kilograms / lbs, with significant capital cost, operating cost, and logistical overhead. These systems also introduce failure modes - equipment issues remain a major contributor to serious diving accidents.\r\n\r\nI decided to work on this after diving myself and realizing the constraint isn’t oxygen availability, but how we access it. Water already contains the oxygen we need. If a diver can generate breathable oxygen on demand using water and electricity, tanks - and the risks and logistics that come with them - can be removed. That realization led me to build DAIVIN!" }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision is to eliminate oxygen tanks entirely and replace them with on-demand breathing from water. Oxygen should not be a logistics problem; it should be generated where it’s needed.\r\n\r\nIf we succeed, access to extreme environments changes fundamentally. In the ocean, in space, at high altitude, in crisis zones, hospitals, and aircraft, breathing will no longer depend on transporting and storing pressurized gas. It will depend on water and energy - resources that are far more abundant, safer, and cheaper.\r\n\r\nThis shift matters because water is everywhere and oxygen gas is not. In space, oxygen exists in ice. In the ocean, it’s in water. On mountains, it’s in snow. Treating oxygen as something to be hauled around in tanks is a legacy constraint.\r\n\r\nJust as early semiconductor advances made computing ubiquitous, on-demand oxygen generation can unlock sustained human presence in environments that are currently difficult, dangerous, or inaccessible. Our goal is to make those environments reachable, scalable, and safe.\r\n\r\nCheck the dive video out here: " } ], "url": "https://www.ycombinator.com/companies/daivin", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/daivin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/daivin", "x_url": "https://x.com/DAIVIN_TECH", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/daivin#overview", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520915f1b23922d076f3d69ef70548eb14face.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a158e55f932059d99046e384673afd9169457796.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1925087, "full_name": "Leo Kankkunen", "title": "Founder/CEO", "founder_bio": "Invented and tested the first-ever tankless dive gear in history. Served in the military and became the youngest top-certified electrical engineer in Europe, authorized to independently sign electrical High-Voltage power line constructions. B.Eng. in Electrical Engineering and an M.Sc. in IEM and Innovation Management. A certified diver and two-time founder with a strong background in deep tech and innovation.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leo-kankkunen/", "x_url": "https://x.com/se4lion", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a6fef592b9190f2c2baaca1d26521593038ba9a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 96969, "title": "DAIVIN! - We let humans breathe underwater (without oxygen tanks!)", "tagline": "We use electrolysis to extract oxygen from water and convert it into breathable gas for divers", "body": "Hey everyone I´m [Leo](https://www.linkedin.com/in/leo-kankkunen/), the founder of [DAIVIN!](https://www.daivin.tech/)\n\n**TL;DR**\\\nDid you know, a single bottle of water contains enough oxygen to **sustain a** **human for a day?**\n\nDAIVIN uses electrolysis to extract the oxygen from water and convert it into breathable gas for divers, enabling tankless underwater breathing limited only by battery duration.\n\nDemo video: \n\n👤 **The Team**\\\nHi I’m Leo, I’m an electrical engineer with seven years of experience in the electrical industry and the youngest person in Finland to achieve the highest national electrical certification, authorizing me to independently execute and sign off complex electrical power lines. I’m also a certified diver and served in the military.\n\n# ❌ **The Problem**\n\nUnderwater diving technology hasn’t changed in almost 100 years, and is rife with problems:\n\n1. **Intense oxygen tank logistics.** Oxygen tanks hard-limit where, when, and how long a dive can happen. In elite and remote operations, logistics - not depth or physics - sets the limits on mobility, mission flexibility, safety, and cost.\n2. **Unsafe by design:** Pressurized gas systems add mass, failure modes, and cognitive load, making diving roughly **1,000× more dangerous than flying**. DAIVIN! replaces stored gas with on-demand oxygen generated from water.\n3. **Slow and exposed:** Bulky gear forces divers to move \\~5× slower than walking, extending task time and exposure. DAIVIN! reduces bulk and drag to restore underwater mobility.\n4. **Cost-prohibitive** Professional dive systems cost tens of thousands of dollars, with helium exceeding **$100 per tank**.\n\n# ✅ **Our Solution: Apply electricity to the water around you and dive safer, longer, and deeper than ever**\n\nDAIVIN! removes tanks entirely, enabling missions to start anywhere with a shoebox-sized system.\\\n\\\n\\*\\*Put on the vest:\\*\\*\\\nYou wear a lightweight vest with triple-redundant electrolyzers.\n\n\\*\\*Strap on the batteries:\\*\\*\\\nA lightweight battery belt replaces the traditional weight belt. The system is quadruple-redundant at the circuitry level, meaning that even if a wire were to fail, three independent paths per electrolyzer maintain continuous gas generation.\n\n**Electrolyzing H₂O**\\\nOur device uses the resource you are already in: water. We apply traditional electrolysis, where DC current splits the water molecule (H₂O) into oxygen (O₂) for breathing and hydrogen (H₂), enabling deep diving to depths of 200 meters / 650 ft without nitrogen narcosis, oxygen toxicity or dependence on expensive helium.\n\n\\*\\*Dive Freely:\\*\\*\\\nIf decompression is required, decompression time is reduced because hydrogen exits body tissues faster than nitrogen. If entangled, a single palm sized battery can provide **up to one hour of additional breathing time**. If operating remotely with no support team, recharge anywhere using solar power. No tank logistics. No cognitive load.\n\n![uploaded image](/media/?type=post&id=96969&key=user_uploads/1925087/29ed7bd4-aeaf-449a-b96e-e3ab81eb7a3d)\n\n# **✨Future**\n\nToday, oxygen is treated as a logistics problem: moving heavy, pressurized gas from point A to point B. That framing is wrong. Oxygen is fundamentally an **energy problem**.\n\nWhere logistics break down, on-demand generation wins. In crisis zones or at high altitude, carrying tanks is a liability. It is far more efficient to carry - or source - water and convert it into oxygen when needed, whether for wounded personnel or climbers operating far from support.\n\nThe same logic applies to space. A pressurized oxygen tank is limited in gas supply, but water is abundant, and already present. In space, we won’t transport air; we’ll extract oxygen from ice.\n\nEven in airplanes and hospitals, oxygen delivery still relies on bulky tanks or legacy systems like pressure swing adsorption that consume space and deliver lower purity oxygen. From first principles, water plus electricity yields the highest-purity oxygen possible.\n\nWe’ve been hauling the container when we should have been bringing the source.\n\n# 🌊 **How you can help!**\n\n* If you know professional or commercial divers, We´d love to speak with them.\n* 📧 [leo.kankkunen@daivin.tech](mailto:leo.kankkunen@daivin.tech)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/daivin/), [X](https://x.com/DAIVIN_TECH) and check our [Website](https://www.daivin.tech/)\n* **Share this post!**", "url": "https://www.ycombinator.com/launches/PE1-daivin-we-let-humans-breathe-underwater-without-oxygen-tanks", "votes": 32, "created_at": "2026-01-23T05:08:49.579Z" } ] }, { "id": 31289, "name": "Fixture", "slug": "fixture", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/254f079e6b0c874fa6ce2878fd0a9d39b229bdd5.png", "website": "https://fixture.ai", "all_locations": "", "long_description": "Fixture is a CRM for startups that helps you find your next customers and keep deals moving. It brings your customer emails, meetings, and conversations together, so you don’t have to keep your CRM up to date by hand. Fixture agents suggest prospects similar to customers you’ve won and helps you follow up on active deals. Use it in your browser or from agents like ChatGPT and Claude.", "one_liner": "An agentic CRM built for Startups", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1774027325, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "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/fixture", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/fixture.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/fixture-gtm", "x_url": "https://x.com/fixturegtm", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/254f079e6b0c874fa6ce2878fd0a9d39b229bdd5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 5635, "full_name": "Matt Riley", "title": "Founder/CEO", "founder_bio": "Founder or Fixture (w26). Previously a Visiting Partner at YC (w25, s25) and Founder of Swiftype (w12), which was acquired by Elastic (NYSE: ESTC) in Nov 2017. Early engineer at Scribd (s06).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthewriley/", "x_url": "http://twitter.com/matthewriley", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6556b4f3b5d090a3de2f6a422119596f81b4a48.jpg" }, { "user_id": 5658, "full_name": "Quin Hoxie", "title": "Founder", "founder_bio": "Founder or Fixture (W26). Previously Tech Lead for Elasticsearch, Founder @swiftype (acq. by @elastic, YC W12)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qhoxie", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e78db7a0a58ec9f6f4680ab9fc20f6f26138964.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31292, "name": "Aurorin CAD", "slug": "aurorin-cad", "former_names": [ "Rapid CAD", "Aurorin" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f33a496f7311dedfd5027e589663789820e95b21.png", "website": "https://aurorincad.com", "all_locations": "San Francisco, CA, USA", "long_description": "There are 2 problems:\r\n\r\nThe first, CAD software is slow and the second, designing with it is a tedious process with many steps. Aurorin solves both of these problems by being a CAD software built from the ground up on a modern tech stack with AI at its heart.\r\n\r\nBuilding the CAD kernel lets us fully leverage AI while modernizing execution speed. Almost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80's. It's common for these programs to take 4 hours to open a file.\r\n\r\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern CPUs and GPUs and be AI native.", "one_liner": "Claude code for Mechanical Engineers", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1769109612, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aurorin-cad", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/aurorin-cad.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aurorin-cad/", "x_url": "https://x.com/aurorincad?s=21", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f33a496f7311dedfd5027e589663789820e95b21.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2811605, "full_name": "Michael Baron", "title": "Founder/CEO", "founder_bio": "Founder of Aurorin, 3x SpaceX intern, prev Apple Intern.\n\nBefore starting Aurorin, Michael worked on Raptor combustion simulation, Dragon Guidance, Navigation & Control, and Starshield flight software at SpaceX, as well as GPU driver performance at Apple.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-andrew-baron/", "x_url": "https://x.com/nominalaviator?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fff2b6020076e2a93f1d4cd5e694baf2db3d0f7d.jpg" } ], "jobs": [ { "id": 92565, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/aurorin-cad/jobs/R3tKam9-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "3.00% - 4.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "C++", "Swift", "GPU Programming", "CAD Design" ] } ], "news": [], "launches": [ { "id": 98144, "title": "Aurorin CAD - The Next Generation Mechanical CAD Software", "tagline": "Create in seconds what takes over 20 minutes in SolidWorks or NX", "body": "# \\*\\*\\*\\*\n\n**TL;DR**: New native CAD software with crazy fast execution speed and a tightly integrated agent to help engineers design way faster. Download for Mac or Windows at[ ](https://www.aurorincad.com/)\n\n\n\nHey everyone, I’m [@Michael Baron](https://bookface.ycombinator.com/user/2811605), the founder of [@Aurorin CAD](https://bookface.ycombinator.com/company/31292), a new CAD software built from the ground up to fix 2 major problems:\n\n* CAD is really slow\n* CAD is tedious\n\n**No more tedious work**\n\nAurorin can create parts in seconds that takes 20 minutes with Solidworks.\n\nBuilding the CAD kernel from the ground up lets us create a much better AI interface than is possible in a traditional kernel. That is why we have decided to build a new kernel instead of using an existing one or making a plugin for existing software. This approach allows us to seamlessly combine traditional UI editing with a chat interface to design even highly complex parts at incredible speed.\n\n**Speed**\n\nIt’s common for existing software to take 4 hours to open CAD assemblies.\n\nAlmost all existing CAD software (Solidworks, NX, Creo, Catia, Fusion 360, Onshape etc) use the same couple of underlying CAD kernels built in the 80s.\n\nAurorin uses a custom parametric and B-Rep driven CAD Kernel built to take full advantage of modern hardware.\n\n**The team** \n\nBefore starting Aurorin, I worked at SpaceX on Raptor combustion simulation, Dragon guidance, navigation & control, and Starshield flight software. I also worked on GPU driver performance at Apple.\n\n**The Asks**\n\nDo you know a hardware company that wants to ship faster? We’re looking for more companies to use Aurorin for rapid prototyping alongside their existing CAD or make the switch for a much faster hardware development cycle.\n\nAre you a design engineer who’s annoyed with CAD? We’d love to hear your feedback on what we’re building.\n\nI’d really appreciate an email at [michael@aurorincad.com](mailto:michael@aurorincad.com)", "url": "https://www.ycombinator.com/launches/PWy-aurorin-cad-the-next-generation-mechanical-cad-software", "votes": 39, "created_at": "2026-02-24T18:07:44.660Z" } ] }, { "id": 31295, "name": "Carrot Labs", "slug": "carrot-labs", "former_names": [ "Anyware" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9d56ba5bab1fb6c9a7734a1a8aab7b6fbc48ed.png", "website": "https://superpenguin.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "The problem: \r\nAI has quietly become one of the largest and fastest-growing line items for companies. Spend is scattered across a dozen provider consoles that each show one number at the end of the month and nothing about why it moved. There's no unified view, and no way to trace a dollar back to the customer, feature, team, or even the pull request that caused it.\r\n\r\nWhich customers are unprofitable once you subtract their AI costs? Which feature is quietly burning your Anthropic budget? Is this week's spike a runaway loop or real growth? How much did that AI-written PR actually cost to ship?\r\nToday teams reverse-engineer answers by exporting CSVs from each provider and stitching them together in a spreadsheet, and by the time they do, the money is already spent.\r\n\r\nWhat SuperPenguin does: SuperPenguin tracks AI spend across 14 providers (OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, AWS Bedrock, Azure, Modal, Cursor, OpenRouter, and more).\r\n\r\n* Zero-code setup: connect an API key and costs sync automatically with model-level breakdowns, trends, and forecasts\r\n* Per-request attribution: add two lines with our Python or TypeScript SDK to tag every AI call by customer, feature, team, or environment (or any other metadata).\r\n* AI coding cost per PR: connect Cursor to see engineering spend attributed to each pull request, repo, and developer, so you know what it actually costs to ship.\r\n* Alerts on budget thresholds and spend anomalies, delivered to Slack, email, or Discord.\r\n\r\nMost teams are set up in under five minutes. We help companies see where their AI money goes and whether it's worth it.", "one_liner": "AI Cost Management: Track and attribute AI spend across every provider", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1772517831, "tags": [ "AIOps", "FinOps", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/carrot-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/carrot-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/carrot-labs-ai/", "x_url": "https://x.com/carrotlabs__ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9d56ba5bab1fb6c9a7734a1a8aab7b6fbc48ed.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": 3198622, "full_name": "Christopher Acker", "title": "Founder/CEO", "founder_bio": "Carrot Labs Founder. \n\nBuilding the continuous learning platform for AI Agents\n\nhttps://carrotlabs.cal.com/chris/20-min-meeting", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopher-acker-4711a3177/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f633a5168fb74667f84f441be1418cfd690860eb.jpg" }, { "user_id": 3309323, "full_name": "Yuta Baba", "title": "Founder", "founder_bio": "Co-Founder of Carrot Labs.\n\nPreviously Senior Data Scientist at Snowflake, where I was in charge of ML account-based bookings forecasts that shaped financial planning as the company scaled from $250M pre-IPO to $3.6B in revenue.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yutababa/", "x_url": "https://x.com/yuta__baba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39f087e64dd3676f6e4b5be30a474291e4b0a441.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98534, "title": "Carrot Labs: Custom models tuned to your tasks that never stop improving", "tagline": "Your model is your moat. Stop renting your intelligence and start growing it.", "body": "**TL;DR:** Carrot Labs helps you build models for your agents that are faster and better, forever. Use our platform to build proprietary models using open source that progressively improve.\n\n[**Our Launch Video**](https://youtu.be/Qiw-HG14AVE)\n\n## **The Problems:**\n\nFrontier models from Anthropic, OpenAI and Google are constantly pushing the boundary of intelligence further, but great quality comes with high latency and cost. Smaller models are fast, but can't get the job done right.\n\nSo you start modifying system prompts. It takes you far enough, but at some point you hit a ceiling. And every time a new model comes out, your prompts don't work the same way anymore! (just February 2026 alone, Opus 4.6 and Sonnet 4.6 from Anthropic, Gemini 3.1 Pro from Google, GPT-5.3-Codex from Open AI, Qwen 3.5 from Alibaba came out to name a few.)\n\n## **Solution:**\n\nWe build you a proprietary model tuned to your tasks so you always have access to the most performant model for your agent.\n\nOur platform records your agent’s activity and tunes an optimized model from an open source base model. Once it's ready, swap out the frontier model for yours. That's it. As new production data flows in, we continuously evaluate and retrain your model to boost performance. What you get is a model specialized to your tasks that outperforms frontier.\n\n## **Why this matters to your startup:**\n\nIn the short run, you need your agent to be faster and more accurate, and prompt tuning will only get you so far. We are the fastest way to get there.\n\nIn the long run, every company building agents is using the same frontier models. Your competitor has the same intelligence you do. The thing that differentiates you is the knowledge you distill into your own model. Your model is your moat.\n\n## **Team:**\n\nChris led AI at Skylo Technologies, the world's largest commercial direct-to-device satellite network that provides satellite communications services to Google, Samsung, and Garmin devices.\n\nYuta was a senior data scientist at Snowflake where he developed financial forecasts through ML that supported the company's hypergrowth from pre-IPO to billions in revenue.\n\n## **How you can help:**\n\nIf you are building agents or know anyone building agents who would appreciate a model that outperforms frontier on their tasks, let us know at [contact@carrotlabs.ai](mailto:contact@carrotlabs.ai).\n\nOur self-serve agent eval SDKs are available. Feel free to use it! You can sign up from here: .", "url": "https://www.ycombinator.com/launches/PdG-carrot-labs-custom-models-tuned-to-your-tasks-that-never-stop-improving", "votes": 22, "created_at": "2026-03-06T10:07:11.227Z" } ] }, { "id": 31296, "name": "Unifold", "slug": "unifold", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/710f285bfbafa7ec0d7936331011b69c72d32a9f.png", "website": "https://unifold.io", "all_locations": "New York City, NY, USA", "long_description": "Launch crypto deposits in minutes. \r\n\r\nUnifold is a developer-first API + SDK that makes it easy for any app to accept on-chain deposits – across any chain and token – with less than 10 lines of code. We handle the full deposit flow so teams can ship faster and give users a smooth experience that actually works.\r\n\r\nIf you’re building a consumer-facing on-chain product and want best-in-class deposits (or want to support more chains fast), we’d love to work with you.\r\n", "one_liner": "Multi-chain deposit and payment infrastructure", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1771008732, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Fintech", "Payments" ], "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/unifold", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/unifold.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/unifoldio", "x_url": "https://x.com/unifold_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/710f285bfbafa7ec0d7936331011b69c72d32a9f.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": 2866477, "full_name": "Timothy Chung", "title": "Founder/CEO", "founder_bio": "Co-founder of Unifold (W26), we’re building crypto → stablecoin deposit and payment infrastructure for fintechs and marketplaces. Previously, I co-founded Streambird, a wallet as a service identify platform that was acquired by MoonPay; the product later became MoonPay Wallets. Before Streambird, I worked for Polymarket and Instabase (4th engineer).\n\nStudied Computer Science at Columbia & Cambridge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timchunght", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cf30b909ec53e3451047689d17824de6eb63673.jpg" }, { "user_id": 2866736, "full_name": "Hau Chu", "title": "Founder/Chief Engineer", "founder_bio": "Graduated from Cornell Tech. Building a universal on-chain deposit infrastructure that \n1. Easily onboard all customers from all ecosystems to your platform and maximize user/trading volume.\n2. Super seamless user/dev experience to use our product with the least amount of crypto knowledge. Unifold handles the complexity for you.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hauchu1998", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e13d163f0f7ace926997cfc1348caddeb3268dd2.jpg" }, { "user_id": 2943389, "full_name": "Quang Huynh", "title": "Founder/CTO", "founder_bio": "A full-stack engineer with 15+ years of experience across fintech, healthcare, and web3. Most recently spent 2.5 years at MoonPay building consumer app, wallets and identity SDKs. Previously co-founded a web2/web3 wallets/authentication startup that was acquired after 1.5 years, led mobile engineering at stc pay (Saudi Arabia's first fintech unicorn) serving 3.5M+ customers, and built patient administration software generating ~£30M+ revenue for UK healthcare providers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/quang-huynh-468488305/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa554cf808a57da11c6a1fa0015eb0e3d509de96.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97814, "title": "Unifold – Universal deposit infrastructure for on-chain apps", "tagline": "Accept on-chain deposits across any chain/token with one API", "body": "**TL;DR**\n\nUnifold is a **developer-first API + SDK** that makes it easy for any app to accept on-chain deposits – across any chain and token – with **less than 10 lines of code**. We handle the full deposit flow so teams can ship faster and give users a smooth experience that actually works.\n\nIf you’re building a consumer-facing on-chain product and want best-in-class deposits (or want to support more chains fast), we’d love to work with you.\n\n![uploaded image](/media/?type=post&id=97814&key=user_uploads/2866477/a3a77b36-7d14-4161-a12e-f9afd25df662)\n\n## **The Problem**\n\nEvery modern blockchain app – prediction markets, exchanges, DeFi protocols, consumer platforms – hits the **same bottleneck**: deposits are slow, fragile, and a terrible experience.\n\nUsers don’t care about chain IDs or token standards, they just want to fund their account and use your product. But today, many platforms still force users through a maze of:\n\n* chain switching prompts\n* manual bridging flows\n* token approvals\n* figuring out whether their **USDC is the “right” USDC** (Solana vs Base vs Arbitrum vs Ethereum)\n\nThat confusion kills deposits. Users drop off not because they _don’t want_ to engage – but because the onboarding itself feels like a blocker. This is especially true for _time-sensitive_ products like prediction markets where speed _is_ product. By the time funds show up, the opportunity has passed.\n\n## **Why This Happens**\n\nMulti-chain deposits are _hard_. Tokens like USDC exist on dozens of networks with different contracts, wrapped versions, and incompatible standards. A user might hold “USDC” on one chain, but the platform only supports it on another. That mismatch turns a simple deposit into a support ticket and a lost user.\n\nExisting tooling tackles parts of this (bridges, chain selectors, etc.), but none give platforms a **single, unified deposit layer** with consistent UX and routing logic built in. Developers end up re-implementing the same plumbing over and over.\n\n## **Our Story**\n\nBefore Unifold, we built **wallet-as-a-service infrastructure** and were acquired by a leading crypto payments company, where we helped onboard **30M+ users** and supported major on-chain apps like **Phantom** and **Polymarket**.\n\nWhen we later left the acquiring company, we began prototyping a consumer prediction market with a better on-chain UX. We expected trading to be the tough part, but during testing, users kept talking about how unusually smooth the deposit experience felt compared to everything else they had used in crypto. Then another prediction market reached out, currently **top 3 in weekly transactions behind Kalshi and Polymarket (Feb 2026)**, asking if they could use our deposit flow. \n\nThat was the “aha” moment: even great on-chain products lose users at the _funding step_ because existing deposits are still fragmented and painful.\n\n## **Solution**\n\n\n\nSo we built **Unifold**, a universal deposit infrastructure for any internet platform that wants to accept on-chain money.\n\nUnifold gives developers a single integration that handles deposits end-to-end:\n\n* **cross-chain routing**\n* **gas abstraction**\n* **compliance checks**\n* **settlement**\n* **crypto + fiat deposits**\n\nYou can integrate in **less than 10 lines of code**, run it fully **headless** or with a customizable UI, and ship deposits natively across:\n\n* **Web (React/NextJS)**\n* **React Native (Expo)**\n* **iOS (Swift)**\n* **Android (Kotlin)**\n\nWe’re already working with ecosystems that don’t have strong deposit/onboarding support from existing providers, including **Algorand, MegaETH, and Thru**, and we’re excited to support more as they launch.\n\nMost existing crypto deposit solutions are still **sales-driven**, gated behind volume minimums and long onboarding cycles. We’re building Unifold to be the opposite: **best-in-class docs, a clean integration, and a self-serve dashboard** so even small teams can get started fast.\n\nIf Stripe made it easy to accept card payments, **Unifold makes it easy to accept on-chain deposits.**\n\n## **What our users (developers) are saying**\n\n[**Alpha Arcade**](https://www.alphaarcade.com/) (Prediction Market on Algorand)\n\nAfter integrating Unifold (30 minutes after checking the docs)\n\n_“I just integrated the modal into our app locally and successfully deposited to Algorand wallet from Solana wallet. VERY smooth!! good shit” -_ Head of Engineering of Alpha Arcade\n\n[**Lofty.ai**](http://Lofty.ai) (On-chain Nasdaq for real estate, YC S19)\n\n_“HOLY that is smooth” -_ Co-founder of [**Lofy.ai**](http://Lofy.ai)\n\n## **Ask / Call to Action**\n\nIf you’re building a consumer-facing on-chain product and want to give your users the best deposit experience or want to support more chains without rebuilding your stack, we’d love to work with you.\n\nFor more information, check us out at .\n\nDM us at [**https://x.com/unifold_io**](https://x.com/unifold_io) or reach out at [**hello@unifold.io**](mailto:hello@unifold.io) – we’re actively onboarding design partners.\n\nWant to test out our deposit flows and provide feedback?\n\n1. (deposit, buy tokens, play to win - Polygon)\n2. (deposit to the latest L1 blockchain - MegaETH)\n3. (our prediction market with the deposit flow - USDC Solana)\n\n## **The Team**\n\nWe are Timothy Chung, Quang Huynh, and Hau Chu, co-founders of Unifold.\n\nTimothy studied computer science at Cambridge and Columbia. Timothy was also involved in the early days of Polymarket and co-led the initiative for a CBDC for the US Marshal Islands out of MIT. Afterwards, Timothy cofounded Streambird with Quang, the wallet as a service that was later acquired by a leading crypto payment company. Together, they built infrastructure that onboarded 30M+ users onto on-chain apps like Phantom and Polymarket.\n\nQuang has 6+ years of experience building consumer-facing crypto and fintech products, from co-founding a wallet infrastructure startup (later acquired) to crafting authentication flows, consumer mobile apps, and UI/UX experiences that onboarded 30M+ users onto different platforms.\n\nHau has been building blockchain infrastructure since 2023 while completing his master’s at Cornell Tech. He worked at Solana Labs and later worked with Tim and Quang to scale wallets and DeFi infrastructure across 10+ blockchains.", "url": "https://www.ycombinator.com/launches/PRe-unifold-universal-deposit-infrastructure-for-on-chain-apps", "votes": 139, "created_at": "2026-02-17T09:19:25.023Z" } ] }, { "id": 31299, "name": "Wayco", "slug": "wayco", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/00d9df2c4df7159bbd9cfe29bf68638efb2f8ed3.png", "website": "https://wayco.ai", "all_locations": "New York City, NY, USA", "long_description": "Wayco is building a unified data intelligence layer for medical treatment of legal cases. From the first intake to instant settlement.", "one_liner": "AI operator for medlegal cases", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1770576314, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wayco", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/wayco.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/in/iqbolkhoja/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/00d9df2c4df7159bbd9cfe29bf68638efb2f8ed3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4ad94030bf9954437e5d4d4da00cfad48b2ae1a9.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2653252, "full_name": "Iqbol Temirkhojaev", "title": "Founder/CEO", "founder_bio": "I had my first VC-backed startup at the age of 13. I had my first exit (acquisition) when I was 14 - to the United Nations. Got a software patent when I was 15. \n\nI started competitive coding since 11 (yes, it was 2017!) - becoming 3x Olympiad gold medalist. And ultimately retired my mom at the age of 18.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iqbolkhoja/", "x_url": "https://x.com/iqbol_t", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0baef6325bc27c722d21777a4e68778d2a76a91c.jpg" } ], "jobs": [ { "id": 92560, "title": "Founding Full-Stack SWE", "url": "https://www.ycombinator.com/companies/wayco/jobs/2D01QKW-founding-full-stack-swe", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 31300, "name": "Shofo", "slug": "shofo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdc8fbfe28cb5c8e4405b92f33ce7b6536b88c17.png", "website": "https://shofo.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We are building the world’s largest video library. We've aggregated billions of videos into a searchable index and use agents to find and label the exact datasets a lab needs on demand.\r\n\r\nIf a lab needs 100K hours of cooking videos where someone is holding a pan, with reasoning annotations on top, our agents search the index, extract the matching subset, route it through our labeling pipeline, and deliver a custom dataset in days, not months.", "one_liner": "The World's Largest Video Library", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1768432806, "tags": [ "Data Labeling", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shofo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/shofo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shofoai/", "x_url": "https://x.com/shofoai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdc8fbfe28cb5c8e4405b92f33ce7b6536b88c17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2555175, "full_name": "Braiden Dishman", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Shofo | UCSB Econ | Prev. AWS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/braiden-dishman/", "x_url": "https://x.com/BraidenDishman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e18cf46ac55fb35ab744fe0d1918aee373a3d85.jpg" }, { "user_id": 2980379, "full_name": "Andre Braga", "title": "Founder & Head of AI", "founder_bio": "Co-Founder & Head of AI @ Shofo | UCSB BS Statistics & Data Science | Prev. MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andre-braga-nlp", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd2a63604446d02437087711d56e433ed4cc9760.jpg" }, { "user_id": 3192733, "full_name": "Alexzendor Misra", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Shofo | UCSB Dropout | Prev. CEO @ Correkt (43k users)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexzendor-misra-15907a23b/", "x_url": "https://x.com/AlexzendorMisra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00c1c60b83a6b26bb5e20e358aefe74084124197.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97200, "title": "Shofo - The World's Largest Video Library", "tagline": "Shofo is building the largest index of videos", "body": "### **TL;DR**\n\nShofo is building the largest index of videos.\n\n\n\n### **❌ The Problem**\n\nAI labs require massive, high-quality video data to train multimodal models, but clean, custom video datasets cost millions and take months to collect.\n\n### **✅ Our Solution**\n\nWe're building the world's largest library of videos by combining public videos collected from the open web and private videos aggregated from thousands of different sources. Both feed into a single, continuously updating index of billions of videos that we clean, search, and label to build custom datasets for AI teams.\n\nFor example, if a lab needs 100K hours of cooking videos featuring hand-object interactions with no scene changes, we query our index, extract the matching subset, and deliver a clean, structured dataset in days.\n\n### **🙏 Our Ask**\n\nIf you or anyone you know is working with computer vision, we'd love to chat. Reach out at [founders@shofo.ai](mailto:founders@shofo.ai) or fill out this form [here](https://www.shofo.ai/contact).\n\n### 📖 **Our Story**\n\nOur team met while building a previous startup called Correkt. Correkt was an AI search engine focused on multimodal content and reached over 40k users before pivoting to become Shofo.\n\n![uploaded image](/media/?type=post&id=97200&key=user_uploads/2355557/635c1bd9-0c05-4fcb-be47-39f092eec605)\n\n_From left to right: Braiden (COO), Alex (CTO), Bryan (CEO), and Andre (Head of AI)_\n\n### **😼 Appendix**\n\nWebsite: [https://www.shofo.ai](https://www.shofo.ai/)\n\nHugging Face: \n\nLinkedin: \n\nX: ", "url": "https://www.ycombinator.com/launches/PHk-shofo-the-world-s-largest-video-library", "votes": 45, "created_at": "2026-01-27T01:15:35.213Z" } ] }, { "id": 31302, "name": "Remix", "slug": "remix-3", "former_names": [ "Resonate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bffb9485df98fbe3633ee9c96be404d770384326.png", "website": "https://remix.re", "all_locations": "San Francisco, CA, USA", "long_description": "Remix is the easiest way to create content with AI. Connect your accounts, drop in photos, voice notes, or messages, and Remix instantly creates posts in your style: articles, tweets, carousels, short-form videos, even content riffing on the latest trending formats. Chat with 100s of parallel AI agents that handle everything from picking your best photos to writing copy to applying edits, all at once.\r\n\r\nInstagram was the easiest way to create photos on mobile. Remix is the easiest way to create everything else. Try it for yourself. Download the app and we'll instantly generate content from your LinkedIn and Twitter.", "one_liner": "Social media content auto-generated with your existing data", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1770250805, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Consumer" ], "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/remix-3", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/remix-3.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bffb9485df98fbe3633ee9c96be404d770384326.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1294638, "full_name": "Sam Kaplan", "title": "Founder/CEO", "founder_bio": "Harvard CS graduate. Early employee at Brex where he helped scale the company from $1B to $12B valuation. Building with LLMs since the GPT-3 beta, years before ChatGPT launched. Has been shipping apps since middle school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samrkaplan/", "x_url": "https://x.com/samrkaplan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d85a7b8119a1af5224f14e6bc8dca4737902afa1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99005, "title": "Remix 🎨 Auto-generate social content with your existing data", "tagline": "Turn your raw ideas into content with parallel AI agents", "body": "**The Problem**\n\nEveryone has content worth sharing. Insights from conversations, thoughts in voice memos, photos on their camera roll. But turning raw material into polished content is a grind. Recording, editing, writing, designing. It turns into a second job. So most people never create, and the internet stays dominated by a small group of professional creators.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=99005&key=user_uploads/1294638/ef896e45-a7ea-44b1-a965-b56973d9fe18)\n\nRemix takes anything you already have. Audio notes, text notes, photos, your social profile, even messages. It automatically generates images, articles, tweets, videos, and more.\n\nNo prompting. No editing. You just feed it your raw data and Remix spins up parallel AI agents that figure out what is worth creating and produce it for you.\n\nYou can launch tens of agents at once, each working on a different piece of content. Chat with them, ask for tweaks, request variations. It feels like having a full creative team that works in seconds.\n\n**Why This Matters**\n\nThe content in your feed is already social. People sharing their routines, their days, their photo dumps. It's just all from strangers. When everyone can create this effortlessly, social media will finally be truely social.\n\nWe are the first company bringing Claude Code to consumers. Unleashing the most powerful agentic harness’s power for more than code.\n\n**Our Ask**\n\n[Try Remix](https://remix.re/) and tell us what you think. Drop in your LinkedIn or Twitter username and we’ll instantly create content just for you.\n\nWe would love your feedback. Email us at [founders@remix.re](mailto:founders@remix.re).", "url": "https://www.ycombinator.com/launches/Pkr-remix-auto-generate-social-content-with-your-existing-data", "votes": 16, "created_at": "2026-03-23T03:38:03.581Z" } ] }, { "id": 31303, "name": "Condor Energy", "slug": "condor-energy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.png", "website": "https://www.condor.energy", "all_locations": "Paris, Île-de-France, France", "long_description": "Condor helps large electricity consumers - C&I and data centers - cut electricity costs by helping the grid.\r\nWe are former electricity traders and energy physicists. We build an AI-powered software that our clients use to optimize their energy procurement - making sure they always have access to cheap & reliable power.", "one_liner": "Software for enterprise energy procurement.", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1770133131, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/condor-energy", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/condor-energy.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/condorenergy", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8fb409eebab1bce05d1234942c6f03c6739eec60.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 3197643, "full_name": "Jean Costa de Beauregard", "title": "Founder/CEO", "founder_bio": "CEO of Condor Energy - building the OS for next-gen energy procurement. Hydropower lover and energy nerd.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jean-costa-de-beauregard/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9cbd1b6bf2c113a14f4d71d74b18b45cb8761990.jpg" }, { "user_id": 3206910, "full_name": "Clément Grivel", "title": "Founder/CTO", "founder_bio": "CTO @ Condor Energy (building the energy intelligence platform for large consumers)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clément-grivel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4533f0cf4aae009a44bc7d859bf1b6cc481c0582.jpg" }, { "user_id": 3206915, "full_name": "Florian Pérocheau", "title": "Founder", "founder_bio": "CPO @ Condor Energy (YC W26). Currently building software to redefine how enterprises consume and procure electricity. Former equity quant and power trader.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/florian-perocheau/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b99f3340b13cee6ed7714549a6b9bcf121652db4.jpg" } ], "jobs": [], "news": [ { "title": "Condor Energy scrute avec l'IA les coûts des entreprises énergivores - GreenUnivers", "url": "https://www.greenunivers.com/2026/04/condor-energy-scrute-avec-lia-les-couts-des-entreprises-energivores-421552/", "date": "Apr 19, 2026" } ], "launches": [ { "id": 98121, "title": "Condor Energy - powering next-gen electricity supply", "tagline": "AI-powered cockpit for electricity procurement", "body": "Hey, we’re [Clément](https://www.linkedin.com/in/clement-grivel/), [Jean](https://www.linkedin.com/in/jean-costa-de-beauregard/) and [Florian](https://www.linkedin.com/in/florian-perocheau/) - electricity nerds building Condor Energy. We met in France, where Florian used to trade power, and Clément and Jean worked together on hydropower plants.\\\n\\\n**TL;DR:** Condor Energy builds software for next-generation electricity supply. We help C&I customers, data center operators and their utilities cut electricity bills by up to 20% and de-risk their operations. We’re live with a leading data center operator, large retail chains and European industrial companies.\n\n\n\n❌ **The problem**\n\nWe realized that as the grid moves towards renewables, large energy consumers like data centers would need better tools for their electricity management. We interviewed 200+ companies spending €Ms/y on power, and we realized this was a consistent problem.\n\n* Electricity costs are no longer “price \\* volume”: they depend on location, time of day, peaks, imbalance, regulation…\n* Large energy consumers must leverage highly complex options and invest $Ms : on-site generation and storage, long-term contracts, RECs, demand-response programs…\n* Yet, they still manage power on incorrect spreadsheets, manual forecasting, wrong data and simplistic simulations.\n\nAnd these errors lead to misinformed Capex investments, delayed interconnection, higher energy costs and unstable grids.\n\n**🧠 The solution**\\\nToday, Condor works with large companies in Europe, and we’re launching in the US. They currently use our software for their:\n\n* Hedging: a large European industrial simulates and tracks its hedge portfolios to secure long-term energy costs.\n* Budgeting: a major retail chain forecasts PPAs and Spot market exposure over all of its stores, and then verifies its invoice.\n* Investment: a leading data center operator with complex procurement optimizes its energy spending by simulating on-site & off-site investments.\n\n\\\nHere’s what Condor does for them:\n\n* Monitor and forecast their day-to-day energy needs and costs, on each facility and in total.\n* Improve their energy procurement and plan their investments based on accurate data, simulations and forecasts.\n* Plan their operations and steer their behind-the-meter assets directly via our platform.\n\nBecause we centralize and curate all their energy data (consumption, market, contracts, regulation…), our customers use Condor to make better decisions - saving millions and de-risking their operations.\n\n**Our ask:** If you are a business in the US or in France spending more than €1M/y on electricity, we can help you improve your energy procurement.\\\nVisit [condor.energy](http://condor.energy) to book a demo - or send an email to [jean@condor.energy](mailto:jean@condor.energy).", "url": "https://www.ycombinator.com/launches/PWb-condor-energy-powering-next-gen-electricity-supply", "votes": 23, "created_at": "2026-02-24T01:27:21.232Z" } ] }, { "id": 31306, "name": "Martini", "slug": "martini", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c61a438eef6d3a1fe29d67dd180ddaaac257b9d.png", "website": "https://martini.film", "all_locations": "San Francisco, CA, USA", "long_description": "Martini is a collaborative, AI-native platform for professional filmmaking in the era of generative media.\r\nBy integrating the best generative models into professional workflows, we enable world-class creatives to harness generative AI as a legitimate medium for film.", "one_liner": "AI Video Production for Professionals", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1768440972, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/martini", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/martini.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/martini-film/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c61a438eef6d3a1fe29d67dd180ddaaac257b9d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 2701033, "full_name": "Koh Terai", "title": "Founder/CEO", "founder_bio": "Cannes-screened cinematographer. Stanford Design. CS background.\n\nBuilding professional filmmaking tools for the generative era of film.\n\nwww.kohterai.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kohterai/", "x_url": "https://x.com/koh_terai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea60b4986e5230db97a4fc79168553b3bdb662ef.jpg" }, { "user_id": 3120681, "full_name": "Long Hoang", "title": "Founder/CTO", "founder_bio": "Turns Martinis into Films.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/longh/", "x_url": "https://x.com/beertocode", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40688ee2ac0332a852379ed14c725913d4ade66a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97320, "title": "Martini: AI Video Production for Professionals", "tagline": "Your Film Set for AI Videos", "body": "**TLDR:** _Martini is a collaborative, professional workspace for creating high-quality AI videos. It’s a film set for AI video production._\n\n\n\n# **🍸 Introduction**\n\nWe’re [Koh](https://www.linkedin.com/in/kohterai/) and [Long](https://www.linkedin.com/in/longh/) from Martini.\n\nGenerative AI video still feels like the wild west.\n\nBrave members of the creative community are embracing this new medium.\\\n\\\nBut making a great AI video still feels like fighting the tool rather than using it. Most AI tools are built around prompting and seeds—not the way filmmakers actually think.\n\nKoh is a [professional cinematographer](https://www.quinzaine-cineastes.fr/en/film/grand-bouquet). He knows filmmakers live and breathe on film sets – a space for intentionality, collaboration, and control. Not endless prompts. So we built Martini to give filmmakers an environment to direct and shoot their generative AI films.\n\nWe shared Martini with a few filmmaker friends. Then more. Today over [200 films](https://www.madewithmartini.com/) have been made with Martini. They’ve aired as TV Commercials, been displayed as artwork, and have gone viral online.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/3a701a0c-9b24-4e63-bdf0-96cac0be92bf)\n\nOur users are filmmakers, artists, serious production teams, and anyone daring enough to take on the challenge of creating AI video.\n\n---\n\n---\n\n# **🍸 Martini is the go-to platform for AI video production**\n\n**Professional Control**\\\nGet the exact shot you want, not just the one the model hands you. Step into virtual worlds and compose shots using camera position, lenses, and movement — not just prompts and frames.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/41b4eb79-44ac-41fc-948f-dcde5b23ad60)\n\n_Step into any image or video to reframe and reshoot_\n\n**Streamlined Production Pipeline**\\\nTeams are forced to MacGyver their workflows across a mess of tools. Martini brings image, video, and world models directly into the editing process.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/3791bdb8-2631-4b1e-8ecf-e0165913cf3f)\n\n_Built in timeline for creating rough assemblies, exportable as XML_\n\n**Production as a Team Sport**\\\nVideo production is collaborative. Different professionals bring different expertise. Martini supports real-time collaboration—sharing prompts, edits, and feedback—so teams can explore ideas together the way they do in tools like **Figma, but for generative film**.\n\n![uploaded image](/media/?type=post&id=97320&key=user_uploads/2701033/f2e831c6-9f6a-4336-9df0-2b6799d6210a)\n\n# Interested?\n\nIf you’re a filmmaker, studio, or creative agency taking AI video seriously, book a demo session with us.\\\n\\\n👉 [**\\[ Book Demo Session \\]**](https://form.typeform.com/to/VVwyeUrj) 👈", "url": "https://www.ycombinator.com/launches/PJg-martini-ai-video-production-for-professionals", "votes": 23, "created_at": "2026-01-30T05:50:02.004Z" } ] }, { "id": 31307, "name": "Wideframe", "slug": "wideframe", "former_names": [ "Supaframe", "Creative Agent Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18022eca0289ec27600e4e7461ba17298b397ffa.png", "website": "https://wideframe.com", "all_locations": "San Francisco, CA, USA", "long_description": "Wideframe is an AI coworker for video editors. It automates the searching, labeling, organizing, and sequencing of footage so editors can ship videos faster.\r\n\r\nWhy is this important? Well, it turns out that editors spend 3x more time preparing footage than actually editing.\r\n\r\nOne agency said we will save their editors 10 hours per week. Another organized an entire documentary worth of footage in hours rather than weeks. He had 2,500+ videos, 500+ audio clips, across >2.5 TB of files and our agent handled them effortlessly.\r\n\r\nUsers link footage to Wideframe and then our Agent acts like an Assistant Editor to handle work like searching, labeling, organizing, and sequencing footage. Wideframe works with footage across local filesystems and cloud providers. We also supports Adobe Premiere Pro (.prproj) roundtrip. Our robust integrations are important so that Wideframe can work with source footage all the way through to delivering Premiere Pro projects to editors.", "one_liner": "AI coworker for video editors to ship more video faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771307851, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wideframe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/wideframe.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/wideframe", "x_url": "https://www.x.com/wideframeai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/18022eca0289ec27600e4e7461ba17298b397ffa.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": 3180583, "full_name": "Daniel Pearson", "title": "Founder/CEO", "founder_bio": "Co-Founder / CEO at Wideframe (YC W26). Previously managed $1B+ in growth budget for clients like Uber, DoorDash, Dropbox, and 175+ others. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielvpearson/", "x_url": "https://x.com/danielpearson", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3c3a96107612e6c6613d449390cdf805527c9e5.jpg" }, { "user_id": 101095, "full_name": "Zachary Kim", "title": "Founder/CTO", "founder_bio": "Co-Founder and CPTO of Wideframe (W26)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/heyzk/", "x_url": "https://twitter.com/heyzk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/71e7313a5d423694c9d91dfdff4c53c2394a8050.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97978, "title": "Wideframe - AI agent for video work outside the NLE", "tagline": "Do hours of video work in minutes.", "body": "Hey everyone 👋\n\nWe’re [Daniel](https://www.linkedin.com/in/danielvpearson/) and [Zack](https://www.linkedin.com/in/heyzk/), the co-founders of [Wideframe](http://try.wideframe.com?source=yc).\n\n**TL;DR**\n\n**Wideframe is an AI agent that speeds up the 75% of video work that happens outside the Non-Linear Editor. It helps teams save time and do more with their videos.**\n\nUsers link their video libraries to Wideframe and then work with our context-aware agent to tackle search, editing, and generative tasks. Our high-performance desktop app works across the filesystem and can even natively handle Adobe Premiere Pro (.prproj) files in and out.\n\n**User Testimonials**\n\n_“Wideframe will save each of our editors 2 hours per day. They will have more time to focus on the quality of their work and doing more without the stress.”_\n\n* Matthew Gattozzi, Founder at Goodo Studios\n\n“OH MY GOD YOU ARE A FREAKING GENIUS”\n\n* A user after Wideframe automatically watched, renamed and organized 24 videos in 3 minutes\n\n**Ask**\n\n**Try Wideframe free for 7 days: [try.wideframe.com](https://try.wideframe.com)**\n\n**Interested in custom video agents? Reach out: [daniel@wideframe.com](mailto:daniel@wideframe.com).** We’ve built custom workflows for clients already and are excited to build more! \n\n\n\n**Our Story**\n\nZack has been an engineering leader for 20+ years. Daniel managed $1B+ in ads for tech companies. We are ex-coworkers and have been close friends for 15 years.\n\n![uploaded image](/media/?type=post&id=97978&key=user_uploads/3180583/d458cf74-8cd2-47ed-9fd3-ae6bf10358d6)\n\n**Making pasta in Rome between Claude Code sessions.**\n\nThroughout 2025, we developed an ever-increasing obsession with coding agents. \n\nBy late 2025, we committed to bringing the power of coding agents to Daniel’s growth world in the form of agentic video editing. Our original YC pitch was “Claude Code for Video Editing”. \n\nIn our first 75 days since launch, we’ve onboarded more than 50 brands and agencies. Many of them make tens or hundreds of videos per week for ads or organic social. What we discovered while building for them: **75% of their video work happens outside of the NLE.**\n\nOur clients prefer to finish their videos in Adobe Premiere Pro or DaVinci Resolve. They don’t want an “agentic NLE”. And they don’t spend a lot of time using the NLE in the first place. \n\nThey spend 4-5x more time each week doing research, writing briefs, searching for videos, scrubbing _within_ videos, organizing sequences of a-roll and b-roll, producing rough drafts, getting feedback from their team and/or clients, and now generating content to augment their footage as well.\n\nWe’re delivering real value within these workflows and our ambition is to become the default workspace where people and agents can collaborate to get the most out of their video.\n\n**How Wideframe Works**\n\n**Wideframe is an AI agent that speeds up the 75% of video work that happens outside the Non-Linear Editor. It helps teams save time and do more with their videos.**\n\nUsers link their video libraries to Wideframe and then work with our context-aware agent to tackle search, editing, and generative tasks. Our high-performance app lives on the machine and works seamlessly across the filesystem and can even natively handle Adobe Premiere Pro (.prproj) files in and out.\n\nWideframe is a coding style agent that lives on your machine with built-in tools and skills for frame-accurate video understanding, agentic search, sequencing, storytelling, research, and context-aware image, video, and audio generation.\n\n**Try Wideframe free for 7 days: [try.wideframe.com](https://try.wideframe.com)**\n\n**Interested in custom video agents? Reach out: [daniel@wideframe.com](mailto:daniel@wideframe.com).** We’ve built custom workflows for clients already and are excited to build more! ", "url": "https://www.ycombinator.com/launches/PUI-wideframe-ai-agent-for-video-work-outside-the-nle", "votes": 25, "created_at": "2026-02-20T20:42:53.381Z" } ] }, { "id": 31311, "name": "Cardinal", "slug": "trycardinal-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d43ea540df5b52aa22859c18efe346d103078bc1.png", "website": "https://trycardinal.com", "all_locations": "San Francisco, CA, USA", "long_description": "Hey YC! We're Devi and Jianna - the founders of Cardinal.\r\n\r\nHey guys! We’re launching Cardinal publicly today - co’s like Mintlify, Deepgram, Giga, etc. use us to build revenue agents & design how they sell. \r\n\r\nThe Problem\r\n\r\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer.\r\n\r\nThat’s where Cardinal comes in.\r\n\r\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers.\r\n\r\nIf you're a founder or sales leader looking to bring AI into your sales org, would love to chat!", "one_liner": "Revenue Agents for GTM teams", "team_size": 0, "industry": "B2B", "subindustry": "B2B", "launched_at": 1770774164, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trycardinal-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/trycardinal-ai.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d43ea540df5b52aa22859c18efe346d103078bc1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1244892, "full_name": "Devi Jha", "title": "Founder/CEO", "founder_bio": "Devi dropped out from Harvard with(out) a degree in Computer Science. YC S23 with an energy software company, sold it to Johnson Controls (NYSE: JCI).", "is_active": true, "linkedin_url": "https://linkedin.com/in/devishijha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5feb78146a61be2f7a5e8872004e378e7be83d8.jpg" }, { "user_id": 663394, "full_name": "Jianna Liu", "title": "Founder/CTO", "founder_bio": "Jianna graduated from MIT with a degree in computer science. She has worked on the software teams at Meta, DoorDash, Nvidia. Previously YC S23, energy software company. Acquired by Johnson Controls (NYSE: JCI)", "is_active": true, "linkedin_url": "https://linkedin.com/in/jianna-liu-90747413b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27d211f97bb944135f4095da5b25aeeba4d23af2.jpg" } ], "jobs": [ { "id": 92369, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/trycardinal-ai/jobs/vLd6N4I-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $230K", "equity_range": "1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 92427, "title": "Founding AE", "url": "https://www.ycombinator.com/companies/trycardinal-ai/jobs/OsZ1pMy-founding-ae", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92428, "title": "Founding Design Engineer, Cardinal", "url": "https://www.ycombinator.com/companies/trycardinal-ai/jobs/Rkr4eov-founding-design-engineer-cardinal", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "UI / UX", "salary_range": "$120K - $150K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94430, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/trycardinal-ai/jobs/HwZIbQl-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $215K", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107012, "title": "Founding Customer Engineer", "url": "https://www.ycombinator.com/companies/trycardinal-ai/jobs/Po0pWFA-founding-customer-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 97888, "title": "Cardinal: AI Platform for Precision Outbound", "tagline": "Powering outbound for 40+ YC companies", "body": "**Hey YC! We're Devi and Jianna - the founders of Cardinal.**\n\n**TL;DR:** Cardinal is the AI platform for precision outbound. We run outbound for 40+ YC companies, like Mintlify, Greptile, and Luminai.\n\n**The Problem**\n\n“Spray and Pray” outbound is dead. The best teams at outbound do it with extreme precision. Finding things in common with your customers, staying in touch with them through their content, mapping inbound from signups and ads, tracking website visitors, monitoring various signals, etc. This sounds great in theory, but in reality involves stringing together 10+ tools and hiring a GTM engineer. \n\nThat’s where Cardinal comes in. \n\n**What can you do with Cardinal**\n\nCardinal is an AI platform for precision outbound. Our agents can create workflows that normally require the work of fulltime GTM engineers. \n\n**🔍 Find the perfect leads:** Whether you need to map your entire TAM, enrich folks going to a conference, invite leads to a dinner you’re hosting, etc. Cardinal finds the most precise leads for you to reach out to.\n\n📡 **Monitor content from your customers:**  Our agents continuously track what your prospects are posting, sharing, and engaging with on social media, so you can stay up to date on what they are doing. \n\n✂️ **Snippets that write themselves** Cardinal generates hyper-specific snippets based on things you and your team have in common with your customers. \n\n⚙️ **Build full workflows** Design end-to-end outbound workflows across email and linkedin. \n\n📥 **Capture inbound too** Set up website visitors, product signups, social media likes and comments, Ad impressions, etc. → qualify it and add them to your sequences.\n\n**The Team**\n\nWe’re Devi and Jianna - we are 2x YC founders (S23, W26). Our last company, Leafpress, was an energy software company - we closed folks like Lindt, Honeywell, etc. from cold outbound. We’re Harvard and MIT CS alums. \n\n**Our Asks**\n\n**If you are a sales leader wanting to add agents to your workflow and finally build a strong outbound engine, please talk with us - we’d love to help.**\n\n -Devi and Jianna", "url": "https://www.ycombinator.com/launches/PSq-cardinal-ai-platform-for-precision-outbound", "votes": 26, "created_at": "2026-02-17T14:58:20.516Z" }, { "id": 93012, "title": "Cardinal: The Most Accurate Document Intelligence API", "tagline": "Cardinal turns unstructured, messy documents into perfectly structured data, instantly and with unmatched accuracy.", "body": "**Hey everyone – Devi and Jianna here** 👋🏼\n\nWe met while studying at MIT and Harvard, and our last company processed utility data at scale. The biggest bottleneck? OCR. It was terrible - especially for complex documents where preserving structure was critical. After years of wrestling with these OCR limitations, we decided to build something better. That became Cardinal.\n\n📃 **The Problem**\n\n Most enterprise knowledge is trapped in PDFs and other unstructured formats -  medical forms, contracts, invoices, insurance claims, financial statements, packing slips, etc. \n\nOCR is _not_ a solved problem:\n\n* LLMs hallucinate and can fabricate data\n* Annotations, checkmarks, and handwritten notes get ignored\n* Tables, charts, and images are dropped entirely\n* Layouts are mangled, breaking document structure and making the output unusable for code, retrieval, or downstream automation. Preserving the semantic meaning of the document is nearly impossible.\n\n\\\n🚀 **Our Solution**\n\nCardinal has 2 finetuned models. The first model, _Document-to-Markdown_, accurately converts even complex documents into clean, structured Markdown. The second model, _Markdown-to-Code_, then turns that Markdown into ready-to-use HTML, preserving the original formatting and hierarchy exactly.\n\nPut simply, we can help you:\n\n* Reliably extract structured data from the most complex PDFs\n* Preserve exact layouts for retrieval, search, and downstream LLM workflows\n* Convert charts into data, summarize images, and parse complex tables\n* Run natural language extractions for any field without brittle regex or templates\n\nFull Demo video: [https://youtu.be/RouYM1cKGXI](https://youtu.be/RouYM1cKGXI?feature=shared)\n\n🔗 **Demo** \\\nTry it [here](https://dashboard.trycardinal.ai/) - we’d love your feedback!\n\n🙏🏼 **Our Ask**\n\n**If you or your team works in enterprise and deals with complex document workflows, we’d love to chat.**\n\n**📅 Here’s our [Calendly](https://calendly.com/leafpress/demo-chat): Book time here or email us at [team@trycardinal.ai](mailto:team@trycardinal.ai).**", "url": "https://www.ycombinator.com/launches/OCC-cardinal-the-most-accurate-document-intelligence-api", "votes": 14, "created_at": "2025-08-18T15:00:27.914Z" }, { "id": 73013, "title": "🍁 AI Copilot for Energy Data", "tagline": "We process & manage energy data with AI", "body": "**🏭 The Problem**\\\nThe modern energy grid is broken. AI and other energy-intensive industries are driving unprecedented demand, and businesses are left struggling to manage and optimize their energy usage. Tens of thousands of companies rely on energy as a top budget item—whether for managing consumption, paying bills on time, avoiding overpayments, or planning retrofits. But current solutions are fragmented, manual, and inefficient. Companies lack a true copilot for managing their energy data.\n\n**💡 Our Solution**\\\nLeafpress is building the first AI Energy Intelligence Platform—a seamless solution to centralize, analyze, and act on mission-critical energy data. Here’s what sets us apart:\n\n* Centralized Data Management:\\\n Users can onboard their data in seconds. Our integrations with utility providers and custom upload portals bring together siloed data across thousands of properties or facilities, providing a single source of truth.\n* AI-Powered Analytics:\\\n Traditional energy management systems fail to provide actionable insights. Leafpress leverages OCR and AI to deliver accurate, real-time analytics. Businesses can instantly understand costs, usage trends, and savings opportunities across their portfolio.\n* Automated Actions:\\\n Leafpress doesn’t just analyze data; it acts on it. From avoiding billing errors to optimizing energy spend and forecasting needs, our platform saves businesses countless hours while reducing costs.\n\nWith our solution, businesses can stop firefighting and start managing energy like the strategic asset it is.\n\n**Who Are We?**\\\nWe’re Devi and Jianna.\n\n* **Devi** is a Harvard CS alum with deep expertise in energy systems, having worked on the energy teams at P&G & Spotify before Leafpress.\n* **Jianna** is an MIT CS alum with years of experience building software at Meta, DoorDash, and Nvidia.", "url": "https://www.ycombinator.com/launches/Izd-ai-copilot-for-energy-data", "votes": 1662, "created_at": "2023-07-12T23:06:25.223Z" } ] } ]