[ { "id": 30290, "name": "Tire Swing", "slug": "tire-swing", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/954a6e03dc3be9737df64c792b63e036b1c580cf.png", "website": "https://gettireswing.com", "all_locations": "New York City, NY, USA", "long_description": "Tire Swing uses AI to power resident and applicant eligibility evaluations for affordable housing.\r\n\r\nOur software manages the resident certification and recertification process end-to-end for public and private properties supported by Project Based Rental Assistance, Low Income Housing Tax Credit, and Housing Vouchers. It serves as a drop-in replacement for third-party consultants and auditors, and helps compliance staff complete their work faster and more accurately. ", "one_liner": "AI Compliance for Affordable Housing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1740473580, "tags": [ "GovTech", "Real Estate", "Housing", "Compliance", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/tire-swing", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/tire-swing.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tire-swing", "x_url": "", "fb_url": null, "cb_url": "http://crunchbase.com/organization/tire-swing", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/954a6e03dc3be9737df64c792b63e036b1c580cf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 990814, "full_name": "Paul Witten", "title": "Founder/CEO", "founder_bio": "Cofounder/CEO Tire Swing\n\nPreviously Senior Consultant at Stroz Friedberg where I led cybersecurity investigations involving Advanced Persistent Threats, Nation States, and Ransomware. I led the memory forensics working group and was a member of the malware analysis working group.\n\nGraduated from Princeton with a Bachelors in Computer Science 2019\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/paul-witten-39579715a", "x_url": "https://x.com/pdubz96", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e8b659e953c13f6341ab1542908089c109c7f7e.jpg" }, { "user_id": 2402276, "full_name": "Lucas Irvine", "title": "Founder/CTO", "founder_bio": "Co-founder Tire Swing (W25)\n\nPreviously a Senior Software Engineer for Instacart, where I worked on everything on the front page of Instacart. Before that worked at Capital One on the open-source rules engine Cloud Custodian.\n\nGraduated from Princeton with a Bachelors in Computer Science in 2019.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-i-b20187128/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c22bc565cdc37513ad5a76e49631f52536d1824.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 108324, "title": "Tire Swing - AI Compliance for Affordable Housing", "tagline": "The AI platform for Affordable Housing operators to review and qualify applicants and residents", "body": "Hi! We are Lucas and Paul, cofounders of Tire Swing: the AI compliance platform for Affordable Housing.\n\n\n\n## **The Problem**\n\nEvery Affordable Housing move-in and recertification requires applicant income verification and a strict eligibility review. In addition to the high labor costs and regulatory burden, delays in reviewing applications and thoroughly screening applicants can cause weeks of lost rental revenue.\n\nLost revenue on a single move-in can accumulate to thousands of dollars, and penalties for non-compliance can cost millions in credit recaptures and fines.\n\n## **The Solution**\n\nTire Swing uses AI to bring compliance expertise to the point of leasing. It turns weeks of reviews and approvals into a minutes-long process. The platform:\n\n* **Reviews evidence as it is collected.** Tire Swing processes documentation in minutes, allowing problems to be addressed before the applicant leaves the office.\n* **Performs the eligibility analysis.** It calculates household income, applies all applicable property, state, and program eligibility rules, and links every finding to its supporting evidence.\n* **Automates certification compliance.** Tire Swing flags missing, inconsistent, or incorrect information with steps to resolve the problem from a library of thousands of deterministic and AI driven compliance checks.\n\n**Tire Swing means faster move-ins and recertifications, reduced consulting budget, and more consistent, audit-ready files.** \n\n## **Looking ahead**\n\nWe believe Affordable Housing is the first application of a much larger needs-based eligibility opportunity. Federal, state, and local governments distribute more than $1.5 trillion annually through needs-based programs including Medicaid, SNAP, TANF, utility assistance, and tax credits.\n\nThese programs share a common underlying workflow: collect documents, convert them into structured facts, apply eligibility rules, and resolve missing or contradictory information.  The administration costs for these services are approximately $20B annually.\n\n## **The Team**\n\nTire Swing is founded by Paul and Lucas, college friends and Princeton computer science graduates. Prior to founding Tire Swing, Lucas worked as a software engineer at Instacart and Capital One, and Paul worked as a cybersecurity consultant at Stroz Friedberg.\n\n![uploaded image](/media/?type=post&id=108324&key=user_uploads/990814/102ac484-df2c-4314-a766-c778a91c6b50)\n\n\n## **The Ask**\n\nWe would appreciate introductions to Affordable Housing property managers, developers, public housing authorities, and state housing agencies.\n\nPlease feel free to reach out at [**paul@gettireswing.com**](mailto:paul@gettireswing.com).", "url": "https://www.ycombinator.com/launches/SBA-tire-swing-ai-compliance-for-affordable-housing", "votes": 5, "created_at": "2026-07-30T06:17:34.365Z" } ] }, { "id": 31318, "name": "Databuddy", "slug": "databuddy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png", "website": "https://www.databuddy.cc", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Databuddy gives you your very own data analyst, always watching over your data, combining all your context to investigate and paint a full picture on every product issue that emerges in real-time; conversion drops, user frustration and churn.\r\n\r\nIt makes your product better without needing to have you look at a dashboard and spend hours figuring out the why. one click to install or switch from any dated analytics provider.", "one_liner": "AI Data Analyst for fast-growing teams", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1791412796, "tags": [ "B2B", "Analytics", "Data Engineering", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/databuddy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/databuddy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trydatabuddy", "x_url": "https://www.twitter.com/trydatabuddy", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/databuddy", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2755916, "full_name": "Issa Nassar", "title": "Founder", "founder_bio": "Building the coolest analytics platform that handles your analytics for you.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/issanassar", "x_url": "https://x.com/izadoesdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91c0735889e9859c7981c36fd71679fb069d9050.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31371, "name": "The Company Company", "slug": "the-company-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2e02b231781598e474507da2cdfd670adae06e9.png", "website": "https://www.thecompany.company", "all_locations": "San Francisco, CA, USA", "long_description": "The Company Company is an applied AI lab building the operating system for technology startups. Instead of stitching together 15 disconnected SaaS tools, teams run engineering, product, growth, sales, finance, legal, recruiting, support, and executive operations on a single autonomous agent runtime backed by full Linux sandboxes and a shared company memory map.", "one_liner": "The operating system for tech startups.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1778479342, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/the-company-company", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/the-company-company.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-company-company", "x_url": "https://x.com/thecompanyai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/the-company-company", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2e02b231781598e474507da2cdfd670adae06e9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1382706, "full_name": "Julius Lipp", "title": "Founder/CEO", "founder_bio": "Founder of The Company Company. Previously CTO & co-founder at Mixedbread, engineer at Google. CS background from University of Hamburg and Trinity College Dublin.", "is_active": true, "linkedin_url": "https://linkedin.com/in/julius-lipp", "x_url": "https://x.com/juliuslipp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7d8268e38eb130a896bd53f4f31fc2d740299d6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31378, "name": "GodHands", "slug": "godhands", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "website": "https://godhands.ai", "all_locations": "San Francisco, CA, USA", "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.", "one_liner": "Turn how your team works into playbooks and agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1777151399, "tags": [ "B2B", "Enterprise", "Automation", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/godhands", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/godhands.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ec540989c0e572731406bc02714d7608e407cc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 905009, "full_name": "Sai Vamshi Batchu", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3902d7acdca00531052656882bd8ae31e78f23ba.jpg" }, { "user_id": 3245390, "full_name": "Aditya Bommakanti", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-bommakanti-6b035321a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb214e7534bbad4c8c5a52ca3cd46359cf65852c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122209, "title": "GodHands: Agents that learn by watching your best people", "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.", "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.", "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people", "votes": 11, "created_at": "2026-10-15T13:30:00.116Z" } ] }, { "id": 31452, "name": "Degla Inc", "slug": "degla-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9b4aa40c1f823de9d3ec9a6c4b04e1e382dc5a85.png", "website": "https://degla.ai", "all_locations": "Boston, MA, USA", "long_description": "We turn natural Language into Multi-Drone Mission execution. Degla is built around a simple idea: once you’ve expressed your intent, the system owns the problem.You don’t babysit drones. You don’t micromanage failures. You don’t rewrite plans. You state the goal, Degla figures out how.", "one_liner": "The fully autonomous intelligence layer in the sky.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1775570807, "tags": [ "Hard Tech", "Drones", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/degla-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/degla-inc.json", "year_founded": 2026, "city": "Boston", "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/9b4aa40c1f823de9d3ec9a6c4b04e1e382dc5a85.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": 1869155, "full_name": "Aziz Hanafi", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ www.degla.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aziz-hanafi-496a67164/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/694f8d7fb1702740e4b2b65e919a3b60b595f4bb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31461, "name": "Collar", "slug": "collar", "former_names": [ "Collar AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "website": "https://usecollarai.com", "all_locations": "San Francisco, CA, USA", "long_description": "We are a team of ex-intelligence, ex-finance, and most importantly, ex-founders who have known each other for over 5 years.\r\n\r\nCollar is redefining investor relations. \r\n\r\nRight now, investor relations is an under-appreciated yet sweeping function. \r\nThey have a bird’s eye view of what external stakeholders want, and also work with internal business units to create a grand vision of a company’s future.\r\n\r\nBut they’re doing it with their hands tied behind their back.\r\n\r\nFinance AI tools today are built for investors not investor relations, leaving teams using ad-hoc unreliable workarounds, and CFOs are stuck always reporting rather than acting on insights to optimize operational workstreams.\r\n\r\nBefore earning calls, Collar prepares CFOs through proactive earnings calls prep, investor targeting and fully citation-backed live teleprompters, saving them hours of work.\r\n\r\nAfter earning calls, CFOs use Collar’s trusted agentic AI systems to optimize identified underperforming workstreams with little manual modification needed. \r\n\r\nRedefining investor relations from a tedious cost centre headache, into a whole-of-company profit maximising function.\r\n", "one_liner": "AI-Native Investor Relations", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777111023, "tags": [ "Generative AI", "Finance", "Enterprise", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/collar", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/collar.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35110e6bdfbfbf5706627685cbb370e170ff4a03.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a7b196143aabccefde2125bed1293d94ee1ce90f.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 527234, "full_name": "Kazel Koh En Yang", "title": "Founder/CEO", "founder_bio": "CEO/Co-founder at Collar (YC F26)\n\nI co-founded a deep tech health-tech startup at 16 (triaging post-cataract surgery complications) as CEO as the only non-grad researcher under the National Graduate Research Innovation Program. Concurrently I became a patented inventor as the first and only Masayoshi Son Foundation (Softbank) scholar from Singapore, inventing a new chess-based technique to hacking.\nGIC Scholar (Singapore's Sovereign Wealth Fund), Ex-Private Credit, Ex-Military Intelligence.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazel-koh-en-yang-811172186", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69f13742bc25d13a6c4ad5737bae1c5fbd7c765d.jpg" }, { "user_id": 1147891, "full_name": "Jamie Yau", "title": "Founder/COO", "founder_bio": "COO/Co-founder at Collar (YC F26), building AI for public company investor relations. Previously Chief of Staff at one of Southeast Asia's largest billion-dollar asset manager. Before that, COO of Singapore’s largest youth-in-tech organisation leading a team of 80+, fellow at the U.S. Department of State, and the youngest contractor for the Singapore military. Ex-HS valedictorian. Started first company at 18. \n\nFrom the little red dot (Singapore), a decent golfer, and a wannabe chef. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamiey3u/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a756280f98b60b685f9f7dc9991c3d9f03ac7a18.jpg" } ], "jobs": [], "news": [ { "title": "Singapore start-up Collar AI by poly grads makes it to Y Combinator | The Straits Times", "url": "https://www.straitstimes.com/world/united-states/from-little-red-dot-to-silicon-valley-singapore-start-up-by-poly-students-makes-it-to-y-combinator", "date": "Aug 07, 2026" } ], "launches": [ { "id": 117940, "title": "Collar: The AI for public company Investor Relations", "tagline": "Find the right investors. Prepare for earnings. Answer analyst questions live with approved company information.", "body": "Collar is the AI for public company investor relations.\n\nIR teams must know the whole company, its investors and the market. That knowledge lives across spreadsheets, emails, transcripts, teams and data providers.\n\nCollar turns mess into momentum. \n\n**Turns company context into a live teleprompter for the CEO**\\\nCollar's teleprompter surfaces the right figure, commitment or approved line the moment a question lands. Management answers with precision on every earnings call.\n\n**Turns repeat questions into instant answers**\\\nCollar's Q&A bot lives on your IR website and answers investor questions from your filings, transcripts and approved messaging. Anything sensitive goes to IR’s inbox first.\n\n**Turns memory into meetings that matter**\\\nCollar remembers every investor relationship since your IPO. It shows you a CRM of who to meet, why now, and gives you a brief before you walk in.\n\n**Turns scattered data into decisions**\\\nCollar reconciles conflicting information across departments, resolves who and what each data point refers to, checks freshness, so management can use an answer without having to manually verify it again.\n\nKazel and Jamie are second time founders with backgrounds in buy side investing and military intelligence. For two years, they have built AI that gathers intelligence from hard to reach places and turns it into action. They know how investors think because they have sat on that side of the table.\n\nSend us your ticker on [usecollarai.com](http://usecollarai.com)\\\nWe'll send you 10 portfolio managers you should target next quarter.", "url": "https://www.ycombinator.com/launches/UgG-collar-the-ai-for-public-company-investor-relations", "votes": 2, "created_at": "2026-10-06T18:00:00.095Z" } ] }, { "id": 31490, "name": "Nxtcure Labs", "slug": "nxtcure-labs", "former_names": [ "NxtCure", "Nxtcure Labs", "NxtCure" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96ae92a8adbb85f9a1045d9323611d53252e2d64.png", "website": "https://nxtcure.com", "all_locations": "San Francisco, CA, USA", "long_description": "Reinventing medicine from lab to drug discovery.\r\nNxtCure CRO- an AI-native, full-stack CRO built to take therapeutics from discovery to market faster.\r\nNxtCure Cancer- the all-in-one mobile platform guiding patients through the cancer journey.\r\nWe’re building the operating system for the future of medicine.", "one_liner": "The full-stack AI CRO for drug discovery.", "team_size": 0, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1789623428, "tags": [ "Health Tech", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "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/nxtcure-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/nxtcure-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/107461080/admin/dashboard/?editPageActiveTab=info", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96ae92a8adbb85f9a1045d9323611d53252e2d64.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": 2627237, "full_name": "Alessandro Hammond", "title": "Founder/CEO", "founder_bio": "CEO @ NxtCure \nHarvard ‘25, Phi Beta Kappa. 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MIT CS '25. ex-researcher @ Sharp Lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/keanu-clark-3625b4286", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6438d3c5982561e049eaa4ee6724c04d95076614.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31509, "name": "Rodeo Robotics", "slug": "rodeo-robotics", "former_names": [ "Lasso (temporary, naming conflict exists)", "Lasso" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed94f83ed341c4f879d7c08c2570c04ba145e07c.png", "website": "https://www.rodeorobotics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rodeo builds a robotic technician that automates maintenance so fleets can get vehicles back on the road sooner. Initial deployments focus on oil changes at centralized depots, where routine maintenance competes for scarce technician time.\r\n\r\nCofounders Michael Hazard and Colby Duke met at Applied Intuition, where they worked with OEMs like Toyota and General Motors to bring software and autonomy to vehicles. They saw firsthand how much manual work it takes to keep vehicle fleets running, and learned how to make autonomy reliable through structured testing, real-world data, and human intervention.\r\n\r\nThey’re now applying their experience to the roughly $600B annual US vehicle maintenance market. The average US vehicle is older than ever, driving up maintenance demand at a time when shops already struggle to hire and retain technicians. That gap leaves fleets facing costly downtime and preventable breakdowns.\r\n\r\nDespite this need, vehicle maintenance has resisted traditional automation. Service information is fragmented and unreliable, and vehicle hardware varies significantly between makes and models. Rodeo builds on advances in robotic foundation models to learn maintenance skills that transfer across vehicles.\r\n\r\nRodeo pairs robots with human technicians who ensure each job is completed correctly, handling work the robots can’t yet perform autonomously. These deployments generate training data for Rodeo’s models through both teleoperation and hand tools augmented to record how technicians work. This lets Rodeo earn revenue while collecting the data needed to automate more of each job and improve margins.", "one_liner": "Robots for vehicle maintenance.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1791737469, "tags": [ "Hard Tech", "Robotics", "AI", "Automotive" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/rodeo-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rodeo-robotics.json", "year_founded": 2026, "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/ed94f83ed341c4f879d7c08c2570c04ba145e07c.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": 1723748, "full_name": "Michael Hazard", "title": "Founder/CEO", "founder_bio": "Building robots for vehicle maintenance. Four years at Applied Intuition bringing software and autonomy to vehicles. Google APM. Stanford CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-hazard", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1236858457295e3981b938e3e2d34b656f23c372.jpg" }, { "user_id": 2583456, "full_name": "Colby Duke", "title": "Founder/CTO", "founder_bio": "Building robots for vehicle maintenance. Previously the tech lead of Applied Intuition's neural simulation team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colby-duke/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64bba9bf9ad1bada6772cc26492eff670a931e2f.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31575, "name": "Fire Wallet", "slug": "fire-wallet", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b24edcd9c30661e9d4cf818ec14536902f2b2c41.png", "website": "https://fire.co", "all_locations": "San Francisco, CA, USA", "long_description": "🔥FIRE WALLET 🔥\r\n\r\nhttps://www.youtube.com/watch?v=JeXDDegwhgA\r\n\r\nTL;DR: Fire Wallet is a fast, end-to-end encrypted, non-custodial stablecoin wallet with built-in payment processing and fiat on/off ramps, built by the team that created MobileCoin, the cryptocurrency inside Signal.\r\n\r\nHey Bookface! We're Josh, Michael, and Manny and we're building Fire Wallet!\r\n\r\n🔥Why we built this\r\n\r\nMost wallets and payment processors don’t work FOR you. They're slow, route your payments in the way that earns them the most, and they leak your financial life to anyone asking. Worse: every single one hold the keys to your money.\r\n\r\nWe believe your financial tools should act in your interest and, frankly, that your money should be yours.\r\n\r\n 🔥What Fire does\r\n\r\nMulti-chain, non-custodial, end-to-end encrypted wallet. \r\nYour keys, your money, your assets: you are in full control of your funds at all times. \r\nLeast Cost Routing. Every swap and payment takes the cheapest path, not the one that pays a middleman the most.\r\nSelf-sovereign payment processing. Send an invoice straight from the wallet. Get paid from your web checkout. No middleman.\r\nEasy fiat on/off ramps. Move stablecoins to USD and back without the pain.\r\nBuilt for agentic commerce. Manage per-agent sub-wallets for agentic workflows.\r\nEncrypted by default. Protecting you from bad actors and surveillance capitalism.\r\n\r\n🔥Early traction\r\n\r\nSigned our first major LOI with @Trustboop (founded by Justice Laub of Drone Racing League and Rob Rhinehart of Soylent).\r\n\r\nOnboarding our first enterprise customer in ecommerce packaging and marketing, doing about $1.5M/month in volume. They've connected us to 10 more companies in the same vertical at similar volume, roughly a $100M/yr GMV opportunity.\r\n\r\n🔥Why us\r\n\r\nJosh and Manuel led the creation of MobileCoin, the cryptocurrency in Signal Messenger: $100M+ raised, $1.16B peak valuation, $4B+ peak coin market cap, acquired in 2026.\r\n\r\nMichael runs product and design. He's an internationally exhibited artist with two published art books, and he builds sick products.\r\n\r\nManuel runs operations and orchestrates systems that actually work at scale.\r\n\r\n🔥Asks\r\n\r\nIntros to businesses moving $1M+/month in payments, especially cross-border, ecommerce, and DTC, who want lower fees and more control over their funds.\r\n\r\nStrategic partners in fintech and payments interested in integrating our infrastructure.\r\nTell us what's broken. Reply here or email founders@fire.co.\r\n\r\nWe're looking for our first 100 customers. If that's you or someone you know, we'd love to talk.", "one_liner": "Fire Wallet is a privacy-first crypto wallet designed to just work,…", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1792046296, "tags": [ "FinOps", "Fintech", "Security", "Cryptocurrency" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/fire-wallet", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/fire-wallet.json", "year_founded": 2026, "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/b24edcd9c30661e9d4cf818ec14536902f2b2c41.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": [], "jobs": [], "news": [], "launches": [] }, { "id": 31584, "name": "CONUS", "slug": "conus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8edd99606159933b27bd8c7f3992e7ad9e5b4dea.png", "website": "https://www.conus-med.com", "all_locations": "Cologne, NRW, Germany", "long_description": "CONUS structures fragmented medical device information for surgeons. We combine manufacturer documentation, hospital protocols and medical research in one place, giving surgeons and MedTech teams reliable answers across products and procedures.\r\n\r\nWe already work with leading manufacturers including Johnson & Johnson, Stryker and Zimmer Biomet, and since launching six months ago we’ve gone live in 20 hospitals.\r\n\r\nLong term, hospitals will use CONUS to select and order implants across manufacturers.", "one_liner": "The AI knowledge layer for medical devices", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1790675017, "tags": [ "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "CONUS started with five chief orthopedic and trauma surgeons who wanted better access to the information their teams need every day. The three of us had already worked together for years, combining backgrounds in AI, biomedical engineering and product development." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "We met Tom Blomfield at a YC event at ETH Zurich, where he convinced us we were thinking too small about CONUS. That conversation set us on the path to building it full time and applying to YC." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started by bringing surgical information into one platform, then added CONUS Intelligence. Today, we’re live in 20 European hospitals, work with manufacturers including Stryker and Zimmer Biomet, and are expanding into the US." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Medical device knowledge is scattered across manufacturer PDFs, portals and hospital systems, leaving clinicians and field teams searching disconnected sources or calling someone who knows. As product portfolios and hospital-specific protocols multiply, finding reliable answers becomes harder for both the people using devices and the companies supporting them." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We want CONUS to become the knowledge infrastructure connecting medical device companies and clinical teams worldwide. Reliable product and clinical knowledge should be available in seconds, across specialties and wherever people work." } ], "url": "https://www.ycombinator.com/companies/conus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/conus.json", "year_founded": null, "city": "Cologne", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/conus-med/", "x_url": "https://x.com/CONUS_med", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/conus-b658", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8edd99606159933b27bd8c7f3992e7ad9e5b4dea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/56a6f4dcfa29dd233d5e53d2a67f9f0409c1eb49.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a578a20e8610736050c6a3d61c932d801011dad.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3347806, "full_name": "Vincent Paffrath", "title": "Founder/CEO", "founder_bio": "Former PhD researcher on generative and agentic AI with ETH Zurich. Part of the core team driving GenAI adoption across Bosch, from strategy to company-wide rollout. Previously in healthcare strategy consulting.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vincent-paffrath", "x_url": "https://x.com/vincentpaffrath", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/37208f211b79d80cadf4e2809047690091e4af08.jpg" }, { "user_id": 3356259, "full_name": "Maximilian Becker", "title": "Founder/CPO", "founder_bio": "Industrial engineer and former AI researcher at ETH Zurich. Joined Cleansort as engineer #10 and helped scale it from prototype-stage startup to 50+ employees, building across hardware, manufacturing and automation software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maximilian-becker-koeln/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c28ba1ae4660614a8e46e2a6d647434c5ad18fb0.jpg" }, { "user_id": 3356311, "full_name": "Alexander Schulz", "title": "Founder/CTO", "founder_bio": "Electrical engineer from RWTH Aachen, Germany. Built high-speed electronics and embedded software for biomedical instruments at Miltenyi Biotec, one of Europe’s largest biotech companies scaled to 5,000+ employees.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-schulz-k%C3%B6ln/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5c84862244b9555e4b8fe425b5c4b2c6eaad6bd.jpg" } ], "jobs": [ { "id": 95195, "title": "Senior Backend Engineer, AI & Data Platform", "url": "https://www.ycombinator.com/companies/conus/jobs/317A0Hm-senior-backend-engineer-ai-data-platform", "location": "Cologne, NRW, DE", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "€80K - €150K EUR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Django", "Python", "SQL", "Docker" ] }, { "id": 112709, "title": "Senior Frontend Engineer, Product & UX", "url": "https://www.ycombinator.com/companies/conus/jobs/iJWPsUM-senior-frontend-engineer-product-ux", "location": "Cologne, NRW, DE", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "€80K - €150K EUR", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "CSS", "React", "TypeScript" ] } ], "news": [], "launches": [ { "id": 121625, "title": "CONUS: The AI Knowledge Layer for Medical Devices", "tagline": "We structure fragmented medical device information for surgeons.", "body": "## **Surgery is complex. Finding answers shouldn't be.**\n\nModern surgery relies on complex implants and instruments. But manufacturer instructions, surgical techniques and hospital protocols are scattered across PDFs, portals and disconnected systems.\n\nFor a single procedure, surgeons may need to navigate multiple sources just to find the relevant information.\n\nThe knowledge exists. It just has no common home.\n\n## How CONUS works\n\nCONUS brings medical device knowledge into one place.\n\nSurgeons can select a procedure, see which implant systems are available at their hospital and access manufacturer instructions, surgical techniques and hospital protocols.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/fc56290e-fa4c-43ed-9c68-91b22dda1023)\n\n**For medical device manufacturers,** CONUS provides a shared platform to make their product knowledge accessible to surgeons and equip field teams with structured information across their portfolios.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/cfed0a0f-70fa-4f07-9402-4f8c90c298c8)\n\n**CONUS Intelligence** makes this structured knowledge accessible through AI, providing answers backed by citations to the original sources.\n\n![uploaded image](/media/?type=post&id=121625&key=user_uploads/3347806/67343f3b-d56a-4d11-9684-76ed1186352f)\n\n## Built with surgeons. Growing with the industry.\n\n**Developed with five chief surgeons**, CONUS is already live in more than 20 European hospitals just six months after launch and works with manufacturers including Stryker, B. Braun and many more.\n\nWe're building a growing, structured knowledge base across medical device portfolios, combining manufacturer information with hospital-specific systems and protocols.\n\nAnd we're just getting started. Over time, we want this foundation to support how hospitals discover, evaluate and access medical devices across manufacturers.\n\n## Our ask\n\nWe're now expanding into the US and would love to connect with medical device companies, particularly people in Sales, Marketing, Product and Field Service, as well as orthopedic surgeons and hospital leaders.\n\nIf you work in this space or know someone we should meet, we'd appreciate an introduction.\n\n[https://conus-med.com](https://www.conus-med.com/)\\\n[vincent.paffrath@conus-med.com](mailto:vincent.paffrath@conus-med.com)", "url": "https://www.ycombinator.com/launches/Vdh-conus-the-ai-knowledge-layer-for-medical-devices", "votes": 101, "created_at": "2026-10-13T14:00:00.117Z" } ] }, { "id": 31591, "name": "RightNow", "slug": "rightnow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59b2e02a314037738d9f32192f83e8bd442be246.png", "website": "https://runinfra.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "RightNow AI is a research lab for GPU kernel optimization. Our platform RunInfra serves top open-source models optimized for AI agents at a fraction of the cost of closed-source APIs\r\n\r\nRightNow AI lab: https://rightnowai.co\r\nRunInfra platform: https://runinfra.ai.", "one_liner": "Co-designing the fastest intelligence", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779474756, "tags": [ "Developer Tools", "Generative AI", "Machine Learning", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rightnow", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rightnow.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rightnowai/", "x_url": "https://x.com/rightnowai_co", "fb_url": null, "cb_url": null, "github_url": "https://github.com/RightNow-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/59b2e02a314037738d9f32192f83e8bd442be246.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1615104, "full_name": "Jaber Jaber", "title": "Founder", "founder_bio": "Technical Co-founder at RightNow (YC F26)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaber-jaber-b65246234", "x_url": "https://x.com/Akashi203", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d84f84e8e758be1fe000c134de47a36196f14705.jpg" }, { "user_id": 3147259, "full_name": "Osama Jaber", "title": "Founder/CMO", "founder_bio": "Commercial Co-founder at RightNow (YC F26)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/osama-jaber-osama2001/", "x_url": "https://x.com/OsamaKakashi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6bf68d49afc56cca1afb65f6882a4b4cf721300.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31725, "name": "Hickory & Company", "slug": "hickory-and-company", "former_names": [ "Tally", "Hickory" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/99defc038609729a80c544eca98af6bec719647d.png", "website": "https://hickory.co", "all_locations": "Salt Lake City, UT, USA", "long_description": "", "one_liner": "Hickory offers agentic compliance and BSA for banks and fintechs", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1789596685, "tags": [ "Fintech", "SaaS", "Compliance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/hickory-and-company", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hickory-and-company.json", "year_founded": 2026, "city": "Salt Lake City", "country": "US", "linkedin_url": "https://linkedin.com/company/hickoryco", "x_url": "https://x.com/hickorycompany", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/hickory-company", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/99defc038609729a80c544eca98af6bec719647d.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": 374939, "full_name": "Joshua Howland", "title": "Founder/CEO", "founder_bio": "Founder / CEO of Hickory\n\nPreviously the co-founder/CTO of Seis (YCW22) which provided online banking for Spanish speakers in the US.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jkhowland", "x_url": "https://x.com/jkhowland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78056512d68a5b8cad15008127cf5d91d8e5d3cd.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32088, "name": "Roma", "slug": "roma", "former_names": [ "Jan Senderek Newco", "Yamo NewCo", "Milo Mode", ">", "Milo Mode" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0acebf173c06922baca9b12940df90492d951704.png", "website": "https://roma.app", "all_locations": "", "long_description": "Roma is the to-do list that does itself. Two of our three founders have been through YC before: Jan built Loom (W12, acquired by Dropbox) and Tobi built Senic (S13, acquired by Gira).\r\n\r\nMost of the work we do starts and ends with a task. So we're rebuilding something everyone already uses: the to-do list that becomes your everyday assistant, the one place that already knows everything you need done.", "one_liner": "Roma is the to-do list that does itself", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1789406521, "tags": [ "Consumer", "Productivity", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer" ], "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/roma", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/roma.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://linkedin.com/company/romaromahq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0acebf173c06922baca9b12940df90492d951704.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 24212, "full_name": "Jan Senderek", "title": "Founder/CEO", "founder_bio": "Co-founder / CEO at Roma (YC F26). Previously founder at Loom (YC W12 - acquired by Dropbox).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jansenderek/", "x_url": "https://x.com/jans", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6b8aa6111b7b998254a944fbae14aa3579ccede.jpg" }, { "user_id": 38750, "full_name": "Tobias Eichenwald", "title": "Founder", "founder_bio": "Currently Co-Founder of Roma (F26). Previously Co-Founder of Senic (YC S13), acquired by GIRA. Programmer and designer. 3x Red Dot Award winner. Love to run and sketch.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tobias-eichenwald", "x_url": "https://x.com/tobioaks", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb5d3313e0b9ed803777def82eef8ea4e09e10cc.jpg" }, { "user_id": 3699419, "full_name": "Cody Osborne", "title": "Founder", "founder_bio": "Building something new at YC (F26). Writer, director, and entrepreneur with nearly two decades of experience in brand marketing and creative. Previously agency creative at Goodby Silverstein & Partners and 72andSunny, in-house director at Dropbox, and co-founder of The Goondocks, an award-winning creative studio.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/a-cody-osborne-3845b54/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e549315d85d54fca6f69b31a030e491588d58a7d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117892, "title": "Roma: The to-do list that does itself", "tagline": "We're reinventing the to-do list so it does the work for you.", "body": "**TL;DR:** Roma is the to-do list that does itself. It's the original productivity tool reinvented. The task list you already keep, remade so the tasks actually get done.\n\n\n\n### The original\n\nFrom pen and paper to apps on a phone, the to-do list has stood the test of time. It's the original productivity tool, and the one tool everyone has used at least once.\n\nYou can't say that about many things, especially as technology advances. But whether you have one task or seventeen, there's a to-do list in your head, in your pocket, or on your desk right now.\n\nSince the beginning, all to-do lists have made the same promise: write the task down so you can stop worrying about it. The catch is that you always have to come back and do it yourself. So the tasks pile up.\n\n### The problem\n\nWhen AI became smart enough to actually help you get things done, we did what a lot of people did and built our own agents. It was hard. It took forever. Even when it worked, it didn't work the way we wanted. \n\nThen the AI Assistants arrived, promising to handle things for you. People love them. That's the clearest sign the demand is there.\n\nBut the work never stay put. It lives in one chat, then another, then an inbox, then a doc somewhere. Instead of doing the work, you're tracking the work down.\n\n### Reinventing the to-do list\n\nThat's why we're playing the long game and not building another assistant. We're reinventing the original productivity tool: the to-do list.\n\n**Roma is the to-do list that does itself.** \n\nThat sounds possible with AI, but it's really hard to get right. You have to be able to add a task for anything and the system has to figure out what you meant, get to work on multiple things in the background, sort it into the right project, and surface it at exactly the right time. \n\nSo that's where we spent most of our time building Roma. Underneath Roma is a harness built to take a task from idea to execution. And on top, it feels as simple and light as the to-do list that you're used to. \n\n### What it feels like\n\nRoma gets real tasks done. But what you notice first is what it does to your mind. You realize you haven't thought about that one task in hours, because it's being handled. You walk into a meeting prepared. You close your laptop with a clear head.\n\n### Why us\n\nWe're Jan, Tobi, and Cody. Jan previously built Loom (YC W12, acquired by Dropbox), and Tobi built Senic (YC S13, acquired by Gira). \n\n![uploaded image](/media/?type=post&id=117892&key=user_uploads/24212/d1545e35-9497-4e2f-a4f9-34f6420684e6)\n\n### Where this goes\n\nWe're only scratching the surface of what Roma can do. As Roma takes on more of your work, the to-do list becomes the place you hand off everything. \n\nWe're going to connect with the apps and assistants you're already using. So whatever you're working on, Roma becomes the center of how it gets done. \n\nWe're only scratching the surface of what Roma can do, and we can't wait to hear what you think.\\\n\\\n**Try Roma:**\n\n* Website: \n* Mac & iOS: \n\nWe're very excited to hear what you all think!", "url": "https://www.ycombinator.com/launches/UfU-roma-the-to-do-list-that-does-itself", "votes": 8, "created_at": "2026-10-06T14:00:02.142Z" } ] }, { "id": 32191, "name": "Lyon", "slug": "lyon", "former_names": [ "Lyon (Branding TBD)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.png", "website": "https://lyon.so", "all_locations": "San Francisco, CA, USA", "long_description": "Lyon builds private foundation models for banks, insurance companies, and fintechs. Each model learns from the company’s proprietary transactions, payments, clicks, and customer interactions to predict credit, fraud, collections, income, churn, and lifetime value; and runs inside the company’s cloud, so its data and intelligence remain under its control. Lyon is already working with a major insurer and trained a model on 28B transactions for a fintech serving tens of millions of active users, identifying premium-card converters 4x more precisely than its existing rules; the model is now being deployed for credit.", "one_liner": "Foundation models on enterprise transaction data.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1786694987, "tags": [ "Machine Learning", "Finance", "Data Science", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/lyon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lyon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lyon-ai/", "x_url": "https://x.com/gabrielnoya7", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/27ce3fff3af03da64bc8cfefeb3efef7b6d080b7.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": 1690305, "full_name": "Gabriel Noya", "title": "Founder/CEO", "founder_bio": "Stanford EE and CS 26'", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriel-noya", "x_url": "https://x.com/gabrielnoya7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4af339e08470b73536f535219d74828f249a98b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32286, "name": "Definite", "slug": "definite", "former_names": [ "Ledgix", "Bylaw" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea163685b0ad74eaec6a19637a061cdb5e63acae.png", "website": "https://www.usedefinite.com", "all_locations": "San Francisco, CA, USA", "long_description": "Definite is where finance teams build everyday back-office agents on one live model of their books. We plug into your ERP, ledger, payroll, and payments read-only and compile everything into one clean model that stays current as money moves. Your back-office team then builds agents on top in plain English. We never write back and we never move money. The agents are yours, the plumbing is ours.\r\n\r\nWe met in first year computer science at Waterloo and interned at Meta, Optiver, and BitGo. At Optiver they ran an n8n hackathon and the interns automated basically nothing. It couldn't talk to the systems that mattered. When we pitched banks and fintechs on agents, they kept telling us the same thing. The agent isn't the hard part, getting clean data out of their systems is.\r\n\r\nRight now, automating anything in a back office means engineers hand-stitching data from a dozen sources in different formats on different schedules. Tools like n8n and Workato assume your data is already clean and joined. In finance it never is. So the teams with the most repetitive work and smallest budgets get nothing.\r\n\r\nThe hard part is the compiler. Every source gets cleaned, matched, and joined into one live model of transactions, invoices, vendors, and payments, and it has to stay right as money lands every day. \r\n\r\nEveryone throws engineers at this. We're doing it once so nobody has to again. Every back office is getting agents eventually. Whoever owns the data they read from owns the thing all of them depend on, and eventually the books themselves. That's what we're building.\r\n", "one_liner": "Build everyday back-office agents on one live model of your books", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1782681224, "tags": [ "Fintech", "SaaS", "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/definite", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/definite.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usedefinite", "x_url": "https://x.com/UseDefinite", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea163685b0ad74eaec6a19637a061cdb5e63acae.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": 2947446, "full_name": "Gurshabd Singh Varaich", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Definite (YC S26). Previous SWE intern at BitGo (pre-execution wallet policy and approval controls). Studied CS at UWaterloo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gvaraich/", "x_url": "https://x.com/gurshabdv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f208520804de89eb57bd0ffaecc678ab08e70e04.jpg" }, { "user_id": 2947432, "full_name": "Mazin Al-Ani", "title": "Founder", "founder_bio": "Founder at Definite (YC S26). Previously SWE intern at Optiver (quantitative trading systems) and Boosted.ai (agentic AI platform for financial analysts). Studied CS at University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mazinalani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61a124dc48094fbc0085b19ae79a8f71f1cc6f19.jpg" }, { "user_id": 1563459, "full_name": "Farhan Ur Rehman", "title": "Founder", "founder_bio": "Founder at Definite (YC S26). Previous SWE at Meta (Instagram reels recommendation). Studied Statistics at University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/farhan-ur-rehman/", "x_url": "https://x.com/re__farhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bbb1704fb2da8fe5afeb297c7a36c7091072108e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105798, "title": "Definite - Turn weeks of regulatory reports into hours.", "tagline": "The most accurate AI agents for financial reporting", "body": "_AI agents that run the entire regulatory reporting pipeline for banks, from raw ledger data to the filed report._\n\n**_TL;DR_**_: Definite automates regulatory reporting for banks end to end, from raw ledger data to filed report, turning weeks of manual work into hours._ [usedefinite.com](http://usedefinite.com)\n\nHey! We're Gurshabd, Mazin and Farhan from Definite.\n\n\n\n**The Problem**\n\nProving to regulators that their books follow the rules is a constant, non-negotiable obligation for banks. Each report is thousands of numbers, personally signed off by an executive. Getting it wrong can mean a **fine up to a million dollars** over a single undetected error. Producing that proof is slow, and doesn't even guarantee it's correct. \n\nHere's where the current system breaks down:\n\n1. **Wasted Hours:** A controller pulls data from the core system into Excel and maps it line by line by hand. By regulators' own estimate, one quarterly filing takes weeks of employee time, time pulled from higher-value finance work every quarter.\n2. **False Confidence:** The software banks use to file checks formatting, not truth. A loan mapped to the wrong schedule line sails through every check. Nothing catches it until an examiner does, and by then it's not a mistake, it's a violation.\n\n**The Solution**\n\n**Report agents:** We connect to your books and our agents build the reports you owe.\n\n**Verification engine:** Every number is recomputed from source records and checked against a versioned rulebook, so each line carries its rule and source data.\n\n**Self-correcting agents:** When a check fails, the agent gets the reason and fixes it in seconds. Real exceptions come to your team with a drafted explanation, not a blank error. This loop is why our agents are the most accurate in finance.\n\n**Receipts:** Every check produces a tamper-evident receipt you can hand an examiner or auditor.\n\nYour team reviews and signs instead of building.\n\n**How we got here**\n\nGurshabd worked at BitGo, a regulated crypto custodian, where attestations proving customer assets matched the ledger were built by hand every period. Farhan worked at Meta where he delved extensively into machine learning and building AI agents. Mazin saw Optiver recheck daily regulatory numbers by hand, then built LLM agents at [Boosted.ai](http://Boosted.ai) and learned finance people won't act on AI output unless every number comes with its source.\n\nThe lesson from all three: in finance, producing a number is cheap, proving it is the job. On two public reporting benchmarks, DeepSeek V3 with our verification engine outperformed GPT-5 on reconciliation accuracy (FinBalance) at roughly 50× lower cost, and beat the entire published field on XBRL calculation validation (FinAuditing).\n\n![uploaded image](/media/?type=post&id=105798&key=user_uploads/2947446/1b80714c-9a38-4d02-a037-ab05ad2c9205)\n\n**The Ask**\n\n* Work at a bank, credit union, fintech or insurer on regulatory filings? Let's talk: , or text me: +1 519-619-5467\n* We’d also love an intro to a VP of Finance or Engineering at your partner bank (personal or business)\n\nFollow us: [LinkedIn](https://www.linkedin.com/company/usedefinite/?viewAsMember=true), and [X](https://x.com/UseDefinite).\n\nWe'll be in the comments. [gurshabd@usedefinite.com](mailto:gurshabd@usedefinite.com)", "url": "https://www.ycombinator.com/launches/RWQ-definite-turn-weeks-of-regulatory-reports-into-hours", "votes": 10, "created_at": "2026-07-15T14:05:31.123Z" } ] }, { "id": 32352, "name": "Veltha", "slug": "veltha", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/086027e8af9fab6d08a460f136457d84dbf6f354.png", "website": "https://veltha.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Veltha is the AI native TPA starting with workers comp. We handle claim for insurance providers end to end.\r\n\r\nLearn more at https://veltha.ai", "one_liner": "AI native TPA starting with workers comp", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1786650265, "tags": [ "Fintech", "Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/veltha", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/veltha.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/130564928", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/086027e8af9fab6d08a460f136457d84dbf6f354.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": 2366971, "full_name": "Edin Citaku", "title": "Founder/CEO", "founder_bio": "Edin is CEO and co-founder of Veltha, building the AI adjuster for regulated insurance. Prior to Veltha he led Palantir's AI deployment at the german FBI. \nHe graduated with BSc and MSc in computer science at the TU Munich", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edin-citaku-564000127", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bdaf52429b81f014247f0a4fb52680e9164ce91a.jpg" }, { "user_id": 976541, "full_name": "Roland Jaloszynski", "title": "Founder/CTO", "founder_bio": "Roland is a co-founder of Veltha, an AI-native TPA. He was previously a technical lead on mortgage underwriting automation at Palantir for a $642B servicer, compiling agency guidebooks into executable rules. He earned his computing degree from Poznan University of Technology while working as a software engineer at Amazon, LocalBini and DAC.digital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roland-jal", "x_url": "https://x.com/RJaloszynski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d12b27a5c3db72426424a70065a0a1a72eb1d87.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115477, "title": "Veltha: AI native TPA for Workers’ Comp", "tagline": "Veltha reduces 6 hours of adjuster work to 10 minutes with better outcomes", "body": "**TL;DR: Veltha is an AI-native TPA for workers' compensation. TPAs process claims for insurance providers, and our AI owns this service end to end. An adjuster only reviews the decision, work that used to take 6 hours now takes 10 minutes - with better outcomes.**\n\n\n\n**The problem**\n\nTPAs deliver terrible service across the board. We have yet to find a carrier or employer that is happy with theirs. The misalignment is structural: TPAs make most of their profit on fees layered on top of claims handling, so quality of the core service barely affects their bottom line. So we decided to deliver the service ourselves.\n\n**What we built**\n\nVeltha runs the whole claim file end to end:\n\n* **Triage.** Reads incoming claim emails and documents, classifies them, and routes each claim to the right workflow.\n* **Gap detection.** Checks the file for missing documents and records, then requests them by email, phone, or fax and runs follow-up cadences until they land.\n* **Compliance review.** Applies the governing laws and produces a determination where every output is tied to a source and a specific regulatory rule.\n\nOur licensed adjusters review and sign every decision. One adjuster on Veltha handles 4x the caseload of a traditional adjuster with better and quicker outcomes.\n\n**Our ask**\n\nWe'd love intros to:\n\n* **Carriers and MGAs writing workers' comp** who need a claims administration partner.\n* **Risk managers and benefits leaders at self-insured employers**, especially claims-heavy, high-risk workforces. Think Disney, Marriott, Ford, PG&E, Caterpillar, SpaceX, Netflix. If you know someone at a company like that, an intro is gold.\n* **Brokers and consultants** who place TPA relationships for their clients.\n\nReach us at [hello@veltha.ai](mailto:edin@veltha.ai) or ping us here. Thanks YC 🙏", "url": "https://www.ycombinator.com/launches/U2X-veltha-ai-native-tpa-for-workers-comp", "votes": 2, "created_at": "2026-10-07T18:00:00.115Z" }, { "id": 111427, "title": "Veltha: AI claims adjuster for regulated insurance", "tagline": "Veltha reduces six hours of adjuster work to 10 minutes, with adjusters still making the final call", "body": "**TL;DR: Veltha reads an entire claim file, flags what's missing, and applies the exact federal regulation that governs it, producing a citation-backed determination a human adjuster just signs off on. Work that took an adjuster \\~6 hours now takes \\~10 minutes.** Starting with workers' comp and crop insurance.\n\n\n\n**The problem**\n\n1 in 4 claims adjusters expect to retire within five years. Experienced adjusters are retiring faster than carriers can replace them, and processing capacity is now the binding constraint on growth.\n\n**What we built**\n\nVeltha is an AI claims adjuster that runs the whole file end to end:\n\n* **Triage** - reads incoming claim emails and documents, classifies them, and routes each claim to the right workflow.\n* **Gap detection** - checks the file for missing documents and records, then requests them by email, phone, or fax and runs follow-up cadences until they land.\n* **Compliance review** - applies the relevant federal rulebook, and produces a determination where **every output element is tied to a source span and a specific regulatory provision.**\n\nThe adjuster's job shifts from _doing_ the claim to _reviewing_ Veltha's output. Less chasing. Faster decisions. Output that survives an audit.\n\n**What we understand that others don't: regulation is the moat, not the obstacle.** Horizontal platforms (Guidewire, Duck Creek) and generic AI-claims startups can summarize a claim file. They can't tell you _which_ provision triggered _which_ adjustment, with citations. We treat the federal rulebook as an anchor for the workflow we embed within the organisation. That's the difference between a summary a human re-does from scratch and an output an adjuster will actually sign.\n\n**Our ask**\n\nWe'd love intros to:\n\n* **Anyone in claims at a carrier, MGA, or TPA** - especially **workers' comp**\n* **People at large self-insured employers** with claims-heavy, high-risk workforces - Companies exactly like these are who we're built for: **Disney, Marriott, Ford, PG&E, Caterpillar**. If you know someone at that kind of company, an intro is gold.\n\nReach us at [edin@veltha.ai](mailto:edin@veltha.ai) or ping us here. Thanks YC 🙏\n\n[veltha.ai](http://veltha.ai)", "url": "https://www.ycombinator.com/launches/SzD-veltha-ai-claims-adjuster-for-regulated-insurance", "votes": 9, "created_at": "2026-08-21T01:30:00.652Z" } ] }, { "id": 32620, "name": "Gradon", "slug": "gradon", "former_names": [ "Vendo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7505a6a55a850d54a7b75a5750c0282f58f9001f.png", "website": "https://heygradon.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Gradon is Legora for the firms that design the world's buildings and infrastructure. Every road, bridge, water system and building starts with engineers, and there aren't nearly enough of them for everything the world needs to build. \r\n\r\nGradon works across every workflow and tool an engineering firm runs on, from CAD design and calculations to full plan sets, and firms using it today have decreased average project times by more than 75%. We're building the platform that makes every engineer a 10x engineer, and with it, how the world gets built.", "one_liner": "Legora for AEC (Architecture, Engineering, & Construction) firms", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1784444284, "tags": [ "Construction", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/gradon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/gradon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/heygradon", "x_url": "https://x.com/heygradon", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7505a6a55a850d54a7b75a5750c0282f58f9001f.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": 2705364, "full_name": "Nour Zahzah", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Gradon (YC F26). MechE at UC Berkeley. Previously founded a company building in-store AI shopping assistants for retailers and did mechanical design for startups. Played professional academy soccer at SJ Earthquakes for 7 years. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nourzahzah", "x_url": "https://x.com/nourzahzah", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b85fea4ac10bda81aabb36b1cc583ed77d0bbe3.jpg" }, { "user_id": 1301156, "full_name": "Yousef Helal", "title": "Founder/CTO", "founder_bio": "Co-Founder at Gradon (YC F26). I graduated top of my class from UC Berkeley at 19, and then went and got an MS from Stanford.\n\nI previously designed software and hardware at Apple (FPGA infrastructure) and AMD (Microblaze V), and then founded a startup building in-store AI shopping assistants for retailers. Before that, my teachings methods as a TA at Berkeley won awards and got published in a paper.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yousef-helal", "x_url": "https://x.com/yousefhll", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18f62c8cc62917996227855f8991296782ecadab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121714, "title": "Gradon: Legora for AEC (Architecture, Engineering, & Construction) firms", "tagline": "The AI partner that makes every engineer 10x.", "body": "Hey everyone 👋 We're Nour and Yousef, co-founders of Gradon.\n\nTL;DR: Gradon is the AI partner for AEC (Architecture, Engineering, Construction) firms. Engineers send it work the way they'd message a teammate, and it works across every workflow and tool the firm runs on, from CAD design and calculations, to reports and full plan sets. Firms using it today have decreased average project times by more than 75%.\n\n\n\n### How Gradon Works\n\n* Message it like a teammate. Type or talk to it, or share your screen and walk it through a problem. It takes the task from there.\n* It works the firm's way. Before Gradon ever touches a project, a firm brain is built, that learns the firm's past work and standards, so everything comes out just the way their team would do it.\n* It works inside their tools, from CAD design, to analysis software, and anything in between. No new system to move into.\n* Engineers stay in charge. Every deliverable comes back for review, and nothing changes until the engineer approves it.\n* Every discipline. Civil, structural, MEP, architecture and more.\n\nWe're also each firm's AI partner, not just another piece of software. We fly out and work one-on-one with each firm's engineers until they're getting the most out of it. After that, we continuously host office hours, lunch-and-learns and more, to make sure firms always stay on the frontier.\n\n### Why Now\n\nAI is the biggest change to engineering since CAD. The demand to build has never been higher, and the number of engineers can't keep up. The next great engineering firms will be the ones where every engineer has Gradon behind them.\n\n### Who We Are\n\nWe've known each other since kindergarten.\n\n* Nour (CEO) studied Mechanical Engineering at Berkeley and worked as a mechanical design engineer. Before startups, he played professional academy soccer for the San Jose Earthquakes for 7 years.\n* Yousef (CTO) graduated high school at 15, then earned a Bachelor's in EECS from Berkeley and a Master's from Stanford. He previously built FPGA infrastructure at Apple and worked on chip design at AMD.\n\n### Our Ask\n\n* If you run an engineering firm, book a demo today to see how Gradon can transform your firm to become AI-native.\n* Intros to owners and principals at civil, structural, MEP or architecture firms. We compensate for successful referrals.\n\nReach us at [heygradon.com](http://heygradon.com) or [nour@heygradon.com](mailto:nour@heygradon.com)", "url": "https://www.ycombinator.com/launches/Vf8-gradon-legora-for-aec-architecture-engineering-construction-firms", "votes": 7, "created_at": "2026-10-13T17:00:00.164Z" } ] }, { "id": 33250, "name": "isoquant", "slug": "isoquant", "former_names": [ "Agent FM", "Isoquant" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2393ff6f2bb8fa724b4d08301f7b560ba116be78.png", "website": "https://isoquant.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Self-optimizing inference cloud for faster, cheaper AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1785890886, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/isoquant", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/isoquant.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agent-fm-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2393ff6f2bb8fa724b4d08301f7b560ba116be78.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": 355672, "full_name": "Aniket Deshpande", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Isoquant · Previously Applied AI at Meta Superintelligence Labs", "is_active": true, "linkedin_url": "https://linkedin.com/in/anideshp", "x_url": "https://x.com/anideshp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e07e9d9585f2f737ad4192980033d6bfb18882be.jpg" }, { "user_id": 606411, "full_name": "Mugdhaa Patankar", "title": "Founder/CTO", "founder_bio": "co-founder & cto at isoquant · previously snowflake, twitch, aws", "is_active": true, "linkedin_url": "https://linkedin.com/in/mugdhaa-patankar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cc8dfabe29ed3019f42417501588ddf2af32354e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 109244, "title": "Agent FM: One group chat to hear and steer your coding agents.", "tagline": "Computer use + live audio updates + group chat with your agents. One command center to end agent babysitting.", "body": "Hi everyone 👋\n\nWe're [Aniket](https://www.linkedin.com/in/anideshp/) & [Mugdhaa](https://www.linkedin.com/in/mugdhaa-patankar/), co-founders of [Agent FM](https://www.agentfm.ai/).\n\n**TL;DR:** Agent FM is a desktop app that gives engineers one group chat to hear and steer their coding agents. Instead of manually bouncing between different claude code and codex sessions, and combing through walls of text to monitor agents, engineers just tune in to Agent FM. Agents share important progress updates, blockers, assumptions, and decisions in the group chat. Engineers get live text and audio updates and respond right from the chat.\n\n**Launch video:** \n\n#### The Problem:\n\n**Babysitting agents is exhausting.** Engineers running claude code and codex agents spend all day bouncing between multiple sessions, combing through walls of text to keep track of the work. In long horizon tasks, agents often go down the wrong paths, add unnecessary complexity or make bad assumptions that waste time and tokens. Agents can also sometimes misinterpret instructions, make poor decisions, or perform destructive actions due to lack of context and context compaction. To avoid this, engineers continuously keep tabs on their agents, read agent trajectories realtime for anything substantial worth intercepting. This gets really exhausting with more agents and time. We lack the tooling that automatically does this for engineers.\n\n#### Our Solution:\n\n* **One interface to rule them all:** Computer use + live audio updates + group chat with your agents. One command center to interact with your coding agents without babysitting and manually polling different Claude Code and Codex sessions.\n* **Actionable metrics and insights into agent activity across model providers:** Deep insights and metrics about token spend across providers, cost distribution, skills and mcp token performance, and recurring patterns.\n* **Works with the tools engineers already use:** No setup needed. Agent FM automatically works across Claude Code, Codex, OpenCode, and other coding tools. Local and remote workspaces supported.\n* **Voice-to-text AI**: Context aware and low-latency voice-to-text AI to prompt 4x faster anywhere on your computer.\n\n![uploaded image](/media/?type=post&id=109244&key=user_uploads/355672/6ac94f50-a6ac-4b2d-9290-819f9711037e)\n\n#### Traction\n\n* **410 engineers** are using Agent FM (**60+ paying**), \n* **120k+ audio updates** heard by engineers. \n* **1.2 hours/day** average time spent on Agent FM\n\n#### Our asks\n\n* Give Agent FM a try and let us know what you think: [agentfm.ai](http://agentfm.ai)\n* If there’s a team or company you think would benefit with Agent FM, write to us at [founders@agentfm.ai](mailto:founders@agentfm.ai) \n\n#### The Team:\n\nAniket and Mugdhaa have known each other for almost 10 years and co-founded Agent FM in 2026.\n\nAniket (CEO) worked at Meta Superintelligence Labs, where he built agent-orchestration, RL, and search infra, fine-tuned models, grew Meta AI monthly active users by 250K and built critical parts of the Llama training data flywheel.\n\nMugdhaa (CTO) led AI for developer productivity at Snowflake, where she built model harnesses, evals, developer tooling, and orchestration systems that help engineers adopt AI and move faster. Before Snowflake, she worked at Twitch on live video playback and distribution, building systems that keep Twitch reliable at scale for the biggest live events on the internet (Ibai La Velada, MrBeast), serving 10M+ concurrent requests.\n\n![uploaded image](/media/?type=post&id=109244&key=user_uploads/355672/79a7e968-4c77-4cf1-9e92-437dd51c7d1b)\n\n", "url": "https://www.ycombinator.com/launches/SQ0-agent-fm-one-group-chat-to-hear-and-steer-your-coding-agents", "votes": 28, "created_at": "2026-08-05T14:44:22.659Z" } ] }, { "id": 33672, "name": "Grep AI", "slug": "grep-ai", "former_names": [ "GREP", "GREP.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d86a599f458e2be0f1c7c75f915dda507376482.png", "website": "https://grep.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Grep AI is the fastest way to create, optimize, and deploy agents for tedious, complex operational work that slows down your business. Our self-improving agents learn from every run, making them smarter and cheaper as you scale. IG.com a global retail brokerage used our agents to review compliance alerts and now 80% of their customers onboad without manual intervention, doubling first trades and propelling them to a FTSE 100 company. \r\n\r\nCustomers including Airwallex, Worldpay, Citizens Bank, FV Bank and Shopmonkey have used our agents to automate over 250,000 of operational work across compliance, onboarding, underwriting, corporate due diligence, document verification, merchant categorization, market and competitive research, rev ops and much more.\r\n\r\nWe founded Grep AI after experiencing firsthand how manual workflows can prevent a business from growing when we ran the platform team at Brex. We're now on a mission to rid businesses of tedious, repetitive so their employees can focus on the most high leverage tasks that matter.", "one_liner": "Self-improving agents that automate your growth bottlenecks", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1790019866, "tags": [ "Fintech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met at Brex in 2020, where we worked on the platform team and saw how manual operational work could become a bottleneck to growth. Even straightforward onboarding tasks required people to research information, handle exceptions, and make decisions.\r\n\r\nWe started Parcha in 2023 to build AI agents for compliance workflows. That gave us firsthand experience with repetitive, high-stakes work where accuracy and control matter. We built Grep AI to make those capabilities available to teams automating repetitive knowledge work across their business." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started in 2023 as Parcha, building AI agents for compliance teams. Working on those workflows taught us how to handle complex research, exceptions, and judgment while keeping people in control.\r\n\r\nWe also saw the same need beyond compliance. In 2026, we expanded into Grep AI, a managed agent platform for repetitive, high-stakes knowledge work across operations, research, and other business functions. We are now building self-improving agents that learn from repeated work, with the goal of improving accuracy and reducing cost as they scale." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Businesses are full of repetitive work that still requires research, judgment, and context. Reviewing documents, investigating a business, or researching a prospect can look similar from one case to the next, but exceptions make rigid automation difficult.\r\n\r\nThe people who understand these jobs often have to do them manually or wait for engineering help. Grep AI lets them describe the work and create managed agents to repeat it, with tools, shared context, and controls. Our focus is work that needs to be accurate and economical when it runs thousands of times.\r\n\r\nAt IG Group, our agents review screening alerts during customer onboarding, clearing false positives and escalating cases that need manual review. The IG case study reports that activation time for flagged customers fell from 2–3 days to under 10 minutes." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We want to rid businesses of tedious, repetitive work so their employees can focus on the highest-leverage tasks. The people who know a workflow best should be able to turn it into a managed agent without having to build and maintain the infrastructure themselves.\r\n\r\nAs those agents repeat the work, they should become more useful and less expensive to run. Success means teams can grow without manual operational work becoming the bottleneck." } ], "url": "https://www.ycombinator.com/companies/grep-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/grep-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/grep-ai", "x_url": "https://x.com/grepdotai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/parcha-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d86a599f458e2be0f1c7c75f915dda507376482.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": 21987, "full_name": "AJ Asver", "title": "Founder/CEO", "founder_bio": "Building AI agents for high-stakes work you can't afford to get wrong at Grep AI. I previously led AI/ML-related products at Coinbase and Brex. My first startup, Scoopler (YC S08), was acquired by Google, where I worked on integrating AI into Google Photos and Android phones/tablets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajasver", "x_url": "https://x.com/_aj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38a64413832ff8af8962fa805c240f6e699bb884.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117558, "title": "Grep AI: Self-improving agents that get smarter and cheaper at the same task", "tagline": "Create an agent in minutes. It gets smarter and cheaper with every run.", "body": "Hey everyone!\n\nWe’re AJ and Miguel from Grep AI. We’re building self-improving agents for tedious, repetitive work that’s slowing down your business. [IG.com](http://IG.com), a UK-based online brokerage, used our agents to automate 80% of onboarding, unlocking a record year of growth that led to their graduation to the FTSE 100.\n\nLaunch video: \n\n**The problem: repetitive work that requires judgment and expertise is still too hard to automate and scale.**\n\nAt Brex, we had 2,000 businesses waiting to onboard because we needed to manually review each one to verify they had a physical address. Fast-growing companies are full of tedious, repetitive tasks like this that become a bottleneck to growth, but require research, judgment, and some expertise.\n\nBut getting an agent to accurately and efficiently complete a task that requires automation, investigation, and some judgment thousands of times is still a challenge.\n\nHard-coded LLM workflows like LangGraph and n8n are cheaper to scale, but can’t adapt to edge cases. E.g., the business has a physical address on Google Maps, but it’s actually a mailbox in a co-working facility.\n\nGeneral-purpose agents like Codex, Cowork, and Copilot are much better at handling exceptions, but when performing repetitive tasks, they waste expensive tokens reasoning through the workflow as if they were a new employee. Enterprises often offshore these types of tasks at $6-$12/hr, so if the agent costs $4/tasks they are not going to use it.\n\n**Grep AI: Self-improving agents that get smarter and cost less with every run.**\n\nGrep AI is a managed agent platform that lets you create, optimize, and deploy self-improving agents to automate repetitive work in minutes without writing any code. Our agents learn from every run, getting smarter and costing less as you scale them.\n\nHow Grep AI works:\n\n* **Create an agent in minutes** with just a prompt and any useful docs. Grep uses deep research, a library of more than 300 built-in skills, and over 100 data integrations to make each agent an expert out of the box.\n\n ![uploaded image](/media/?type=post&id=117558&key=user_uploads/21987/30597b7c-03c9-4bc6-aa9d-542b42f8b550)\n\n* **Frontier or open-source models:** Unlike OpenAI’s Agent API or Claude Managed Agents, you aren’t locked into one model provider.\n* **Self-improving harness:** Our harness learns as it repeats a task, moving repeatable steps from frontier LLM calls into workflows and code, so it gets smarter and cheaper with every run.\n* **Secure sandbox:** Agents run in a secure sandbox with a file system, audit logs, access controls, and cost caps included.\n* **Run from anywhere:** Use agents manually in our app, or via schedules and monitors, batches, API, MCP, and TypeScript and Python SDKs.\n* **Stay in control:** Manage your agent workforce with a central dashboard to monitor cost, accuracy, and auditability.\n\n ![uploaded image](/media/?type=post&id=117558&key=user_uploads/21987/e63bf34e-dfd1-42cf-94cc-68ee90612083)\n\n\n**How companies use Grep AI**\n\nCompanies like Airwallex, Citizens Bank, Worldpay, Global Payments, and Shopmonkey use Grep for business due diligence, underwriting, document verification, HR operations, GTM ops, competitive intelligence, and social and market research. \n\nIn six months we’ve saved these companies over 150,000 hours of work\n\n**Why us?**\n\n**AJ** led AI/ML products at Coinbase and Brex. His first startup was acquired by Google, where he worked on Google Photos and Android.\n\n**Miguel** led Platform Engineering at Brex across ML, data, financial infrastructure, and compliance operations tooling. Before that, he led data science at Twitter.\n\nWe met at Brex in 2020, where we scaled the customer base 10x in a year with automation across risk, compliance, customer support, and operations, before AI agents existed. That experience inspired us to start working on AI agents for compliance teams in 2023. Then we took everything we learned from building agents and turned it into a managed agent platform to scale any repetitive work.\n\n**Do you have any repetitive operations/back-office work that’s slowing down your company?**\n\n* Go to or point your coding agent there to get started.\n* Book an onboarding call with us here: \n* Or reach out to [founders@grep.ai](mailto:founders@grep.ai), and we’ll help you tune an agent for your workflow.", "url": "https://www.ycombinator.com/launches/Ua6-grep-ai-self-improving-agents-that-get-smarter-and-cheaper-at-the-same-task", "votes": 12, "created_at": "2026-10-05T14:00:00.178Z" } ] }, { "id": 33674, "name": "UFO.ai", "slug": "ufoai", "former_names": [ "Metalcraft", "ufo.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7933f1917a47bf844572cf253da02eeececc9f.png", "website": "https://ufo.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "UFO is the operating platform for your business built by the creators of Github Copilot and Perplexity Computer. \r\n\r\nUFO learns your company, goals, tools, and workflows. UFO builds what your team needs to keep work moving.", "one_liner": "Next-generation agent operating system", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1790567216, "tags": [ "SaaS", "B2B", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/ufoai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ufoai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ufo-dot-ai/", "x_url": "https://x.com/ufo__ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ufo-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7933f1917a47bf844572cf253da02eeececc9f.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": 3809162, "full_name": "Marshall Kiely", "title": "Founder", "founder_bio": "ufo.ai previously: Perplexity finance lead, quant finance, founding AI eng Notable Health, ML @ Mixpanel. Princeton PhD comp bio – first author Nature and Science papers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marshall-ai", "x_url": "https://x.com/flyingobjectai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f218102f85d8ffd4cce6ca5b165387dc4030481d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 33804, "name": "Neomatter", "slug": "neomatter", "former_names": [ "Lightfield, Inc.", "Lightfield" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a30dd6a7d86e342da32a42b330195358721c4571.png", "website": "https://neomatter.com", "all_locations": "San Francisco, CA, USA", "long_description": "Neomatter connects to a company’s email, chat, and business systems and does the legal work before it reaches the legal team. It gathers context, applies company policies and past decisions, and presents the completed work to in-house counsel for approval.", "one_liner": "AI that works for in-house legal teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1786835532, "tags": [ "SaaS", "B2B", "Legal" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/neomatter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/neomatter.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/neomatterai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a30dd6a7d86e342da32a42b330195358721c4571.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": 1633544, "full_name": "Luke Wagner", "title": "Founder/CEO", "founder_bio": "Cancelled my plans for med school to move to San Francisco and co-found Neomatter (F26).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lukedwagner", "x_url": "https://x.com/lukedwagner12", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a2c49f5763a3e6526cc53dbfe11bf14250aef0c.jpg" }, { "user_id": 1374397, "full_name": "Luke Mainwaring", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Neomatter. Previously CTO at DAHLIA Intelligence where we built an agentic personal assistant for students. BCS in Computer Science, dropped out.", "is_active": true, "linkedin_url": "https://linkedin.com/in/luke-mainwaring-850a34203", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76cc9fa283e84cee7b035d8b118d6292ad7d445c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122248, "title": "Neomatter: The operating system for in-house legal teams", "tagline": "Every request shows up with the work already done.", "body": "## **TLDR**\n\nNeomatter is the operating system for in-house legal teams. It plugs into the places your company already works (email, Slack, Salesforce, etc) and picks up legal requests as they come in. When someone sends legal a contract or a question, the work is already done before a lawyer opens it, ready to review and approve.\\\n\\\n\n\n## **The problem**\n\nEvery part of your company runs through legal.\n\nSales needs contracts signed. HR needs employment agreements. Finance needs board approvals. And every department has legal questions.\n\nBut legal teams spend a lot of their time on repetitive work: reviewing the same terms, searching for old agreements, answering familiar questions, and chasing information.\n\nThe software tools haven't solved this. One tool manages contracts, another handles requests, and another tracks approvals. Lawyers still have to piece the work together themselves.\n\nAnd when teams reach capacity, companies hire more lawyers or send work to expensive outside firms.\n\n## **What we’re building**\n\nNeomatter takes a request from start to finish. It gathers context, reviews documents, checks the company’s policies and precedents, and prepares the work for approval.\n\n## **How it works**\n\nNeomatter monitors the places legal requests already come through (email, Slack, teams, Salesforce, and more) and automatically triages requests to the right lawyer. Nobody has to tag anything or learn a new tool.\n\nThen it does the work. It reads everything, does the redlines, checks it against your team’s playbooks, drafts the reply, and waits for your decision. By the time you know the matter exists, 90% of the work has already been done. The lawyer opens finished work, checks the sources, writes any edits, and makes the decision.\n\nAnd it can handle anything. Commercial work, employment work, corporate work, a “can I do this?” question, or anything else a legal team receives. Neomatter does it all.\n\n![uploaded image](/media/?type=post&id=122248&key=user_uploads/1633544/eecfd55b-a702-4725-b7b3-3baed9d62b2f)\n\n## **The team**\n\nWe’re Luke & Luke. We dropped out of university to move to San Francisco.\n\nWe believe AI has fundamentally changed how much work one person can do. After speaking with over 200 in-house legal teams, we realized AI can completely change the way lawyers work.\n\nWe’re building Neomatter to make that happen.\n\n## **The ask**\n\nIf you're a GC, Head of Legal, or in-house lawyer, book a call and we'll show you: \n\nIf you know someone who works in legal at a company, we'd love an intro.\n\nOr reach us directly at [founders@neomatter.com](mailto:founders@neomatter.com).\n\nLuke & Luke", "url": "https://www.ycombinator.com/launches/Vnk-neomatter-the-operating-system-for-in-house-legal-teams", "votes": 4, "created_at": "2026-10-15T17:00:00.152Z" } ] }, { "id": 33838, "name": "Simantic", "slug": "simantic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12eef74104b6e57636a6f0d2305e3a2d18d5c2e5.png", "website": "https://simantic.com", "all_locations": "Waterloo, ON, Canada", "long_description": "Simantic is modernizing the embedded firmware industry with hardware simulation developed for the adoption of AI in hardware engineering. Simantic gives both humans and AI the visibility into hardware previously limited by the physical world.", "one_liner": "Firmware simulation for AI agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1782327485, "tags": [ "Developer Tools", "Hardware", "Semiconductors", "Electronics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/simantic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/simantic.json", "year_founded": 2025, "city": "Waterloo", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/simantic", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12eef74104b6e57636a6f0d2305e3a2d18d5c2e5.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": 3082935, "full_name": "Seungmin Hong", "title": "Founder/CEO", "founder_bio": "Founder at Simantic (YC F26). Previously firmware engineer at Tesla, Simbe Robotics, and Rapyuta Robotics. ML at Ericsson. BASc Computer Engineering from University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shong0504", "x_url": "https://x.com/shong0504", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc234bdf0e7d060cf24bf13d252ce7311c2e3ce0.jpg" }, { "user_id": 3729139, "full_name": "Ahnaf Shahriar", "title": "Founder/CTO", "founder_bio": "Founder at Simantic (YC F26). Previously Embedded Software Engineer at Neuralink (Implant/Charger) and AI Hardware Engineer at Tesla (Dojo/Autopilot). Computer Engineer from the University of Waterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahnaf-s", "x_url": "https://x.com/enough_ahnaf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d91d8988fc211a1d486d15228c422801d7cf268.jpg" } ], "jobs": [ { "id": 98191, "title": "Lead Simulation Researcher (Electronics / Firmware)", "url": "https://www.ycombinator.com/companies/simantic/jobs/UKriFvb-lead-simulation-researcher-electronics-firmware", "location": "Waterloo, Ontario, CA / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$200K - $300K", "equity_range": "2.00% - 5.00%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "Assembly", "C", "C#", "C++", "Verilog", "GPU Programming", "Firmware", "FPGAs" ] } ], "news": [ { "title": "Simantic scales from Waterloo startup to global AI hardware innovator | Waterloo News | University of Waterloo", "url": "https://uwaterloo.ca/news/simantic-scales-waterloo-startup-global-ai-hardware", "date": "Jul 31, 2026" } ], "launches": [] }, { "id": 34134, "name": "Voyager", "slug": "voyager", "former_names": [ "moda.app", "Moda" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c6a49b867492868c7c12a9622e59839c26e0b5a.png", "website": "https://voyager.so", "all_locations": "New York City, NY, USA", "long_description": "Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek.\r\n\r\nIt comes bundled with free motion graphics, music and video editing tools - or, it can drive Blender, DaVinci Resolve, After Effects, Ableton and 100+ others.\r\n\r\nFrom the team behind Moda (moda.app, 100k+ users).", "one_liner": "Open harness for video and other creative work.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1790709958, "tags": [ "Design", "Video", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voyager", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/voyager.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/voyagerso", "x_url": "https://x.com/startvoyager", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4c6a49b867492868c7c12a9622e59839c26e0b5a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/52d5a97fdcaa8fb0fe1eef5ad4841e18cbc47350.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0d7a2859afe4cb46e3ecaee07116e87dacd7ece7.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 421690, "full_name": "John Holliman", "title": "Founder", "founder_bio": "CTO/founder at Moda, Previously founding engineer and CTO of Dover, MIT meng & sb", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jhhiii/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8428c9ff8861d39dd171ce2f674b1f5ab9aaff8.jpg" } ], "jobs": [ { "id": 111654, "title": "Filmmaker", "url": "https://www.ycombinator.com/companies/voyager/jobs/q3DywDM-filmmaker", "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": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 117923, "title": "Voyager: AI harness for video and creative work", "tagline": "Voyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools.", "body": "Voyager is an open harness for video, music, games, and graphics.\n\nIt’s like Codex, but for creative work.\n\nVoyager runs on your computer and lets you use models like Astra, Opus, and DeepSeek to steer 100+ AI image/video models and creative tools like Blender, DaVinci Resolve, Ableton, and Unity.\n\nWe’re the team behind [Moda](https://moda.app), a design tool loved by 100k+ people.\n\nWe’ve had a front-row seat as models have gotten extremely capable - and can handle complex work across storyboarding, video gen, sound design, editing, and finding archival footage. Voyager enables people to do this all from one place: no juggling API keys, providers, and apps.\n\n\n\n# How it works\n\n1\\. Download Voyager at [voyager.so](http://voyager.so) and connect the tools, models, and subscriptions you already use.\n\n2\\. Describe what you want to do - edit existing footage, ideate on commercials for your product, make a launch video…\n\n3\\. Voyager works with you just like Codex. It comes with built-in apps for motion graphics, music, and editing - or it can use tools like Blender, DaVinci Resolve, After Effects, etc on your computer\n\n# Team\n\nWe're second-time founders, and previously worked on Dover YC S19 and Heap W13. \n\nOur team of 6 is obsessed with building tools for the next generation of creative work.\n\n![uploaded image](/media/?type=post&id=117923&key=user_uploads/128290/622d1c8f-4e9c-4b7b-802e-4a4d92334e1e)\n\n", "url": "https://www.ycombinator.com/launches/Ufz-voyager-ai-harness-for-video-and-creative-work", "votes": 5, "created_at": "2026-10-08T18:04:25.814Z" } ] }, { "id": 34365, "name": "Runtime.si", "slug": "runtimesi", "former_names": [ "Lambda Robotics", "Runtime" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/461a9d05728add7a3449b82167ac418e94d301eb.png", "website": "https://runtime.si/", "all_locations": "San Francisco, CA, USA", "long_description": "Runtime is building the evaluation layer for physical intelligence. 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Full-stack robotics engineer focused on robotics productization, manipulation, and manufacturing.MechE @ Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qingyun-ying-46558235b?utm_source=share_via&utm_content=profile&utm_medium=member_ios", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3abf1241b0a3a88b9721dba23ce1cce5e431f5ea.jpg" }, { "user_id": 3133784, "full_name": "Liam Zhong", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Runtime.si. Researcher at UPenn GRASP, CV, Control, and RL. Reviewer and author for CVPR, etc. Robotics@Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ningze-zhong-a62917388/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44689e138268d43bdde7deebc7f696481422fcea.jpg" } ], "jobs": [ { "id": 102287, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/MzXnOwU-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$6K - $9K", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "Will sponsor", "skills": [ "CAD Design" ] }, { "id": 102288, "title": "Electrical Engineer, Robotics", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/CFyIFbn-electrical-engineer-robotics", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Robotics", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 102289, "title": "Founding Software Engineer, Robotics Infrastructure", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/0oIw1pj-founding-software-engineer-robotics-infrastructure", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 3.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 104228, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/runtimesi/jobs/UFzIOBo-founding-gtm", "location": "San Francisco, CA, US", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "$6K - $9K / monthly", "equity_range": "0.25% - 1.00%", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 34431, "name": "Hue", "slug": "hue", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c5e6f96d14890d7f03f32c22ceed76e4fc923f2.png", "website": "https://hue.run/", "all_locations": "San Francisco, CA, USA", "long_description": "Hue turns production usage of agents into repeatable tests that preserve the tools, data, and state behind the real run. As AI agents take on real work, their behavior depends increasingly on the nuances of the world around them. With Hue, teams can test and improve their agents under conditions that mimic real usage.", "one_liner": "Test agents in realistic worlds built from production usage", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1790353230, "tags": [ "Developer Tools", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/hue", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hue.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hue-intelligence", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c5e6f96d14890d7f03f32c22ceed76e4fc923f2.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": 3905409, "full_name": "Aneesh Kethini", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Hue; Second AI PM at Datadog, built and launched Datadog's AI SRE; Prev Quantitative Trader at SIG.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aneeshkethini/", "x_url": "https://x.com/aneeshkethini", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96b37194848c8e110be870d79303e5fd2db1c5af.jpg" }, { "user_id": 1000179, "full_name": "Josh Le", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Hue; Prev engineering at Apple, Gusto (W12), August, Wayfair, SendBlue (S23), Sixtyfour (X25); KP fellow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-d-le", "x_url": "https://x.com/joshuadle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ce0a5fd1991d93d61addff18156dbb146d3b3d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34464, "name": "herdr", "slug": "herdr", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f63118d9ed1edf6a055497860b53107c37b334.png", "website": "https://herdr.dev/", "all_locations": "Ankara, Ankara, Turkey", "long_description": "Developers don't run one coding agent anymore. They run fleets of them — for hours, sometimes days — across laptops, servers, and sandboxes. Keeping track of that work is the new bottleneck: which agent is blocked, which one finished, which terminal is it in, and why did everything die when the laptop closed.\r\n\r\nHerdr is the open-source home for that work. A background server owns the agents' terminal sessions on each machine, so the work survives disconnects, closed lids, and dropped SSH. Herdr detects each agent and turns the chaos into an attention queue — working, blocked, done, across every project — so you look only when an agent needs you. Every client is just a view: the bundled terminal UI, SSH from another machine, your phone. Close one, open another; the work never stops.\r\n\r\nSoftware can drive it too: a CLI, a socket API, and a plugin marketplace that passed 500 community plugins in its first month. The runtime is Apache-2.0 and stays open. Four months after launch: 25k GitHub stars, 340k downloads.", "one_liner": "building the open agent runtime", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1786038738, "tags": [ "Developer Tools", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Turkey", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/herdr", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/herdr.json", "year_founded": 2026, "city": "Ankara", "country": "TR", "linkedin_url": "https://www.linkedin.com/company/herdrdev", "x_url": "https://x.com/herdrdev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/herdrdev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f63118d9ed1edf6a055497860b53107c37b334.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 926257, "full_name": "Can Celik", "title": "Founder/CEO", "founder_bio": "Founder of herdr, the open runtime for coding agents. 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", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1792356521, "tags": [ "SMB", "SEO", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/theo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/theo.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/theosite", "x_url": "https://x.com/theo_site", "fb_url": "https://www.facebook.com/profile.php?id=61590488015740", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/df947f888c98a4ba3a32f2fa4873fc57321747c2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 4013716, "full_name": "Miles Pines", "title": "Founder/CEO", "founder_bio": "Solo founder, Harvard CS. Previously co-founded Endgrate and bootstrapped it to $100k+ a year in revenue and worked on low-latency software at Citadel Securities.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/milespines/", "x_url": "https://x.com/MilesPines", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ce580a0bd26fff9c3b1aab1a026b362f4174141.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123200, "title": "Theo - The site-builder and engine that gets your business found", "tagline": "Search is changing. The days of getting 30 pages of Google results (that you never scroll through anyway) are over. Today, AI agents give customers three choices. Max. Theo helps make sure your business is one of them.", "body": "\n\n**WHAT IS THEO?**\n\nTheo is like having an expert professional web guru working for you 24 hours a day. Those aren’t our words but the words of one of our customers. Theo is constantly analyzing where your potential customers are coming from and what they are searching for. Theo writes and publishes content automatically so you’re getting consistently ranked and your domain authority rises.\n\nWe’ve built 10,000+ sites since July with an average increase of over 50% in traffic and generated 100s of thousands of impressions.\n\n**OUR TARGET**\n\nAnyone who runs a small to medium sized business and has been frustrated by where they rank on search.\n\n**CHECK IT OUT**\n\nTake the Theo test. Paste any small business website into [theo.site/audit](http://theo.site/audit) and see whether search can find it and what you need to improve your results. It takes two minutes, with no login.\n\n**HOW MUCH IT COSTS**\n\nA web guy will charge you $150 an hour to do anything. Theo charges $69.99 a month to do everything. It’ll build you a site in minutes and update it continually and intelligently. It publishes content to keep your site fresh. Theo does what an SEO agency does but better and automatically and without a $1,000 monthly retainer.\n\n**ABOUT THE FOUNDER**\n\nMiles Pines is a solo founder with a Harvard CS degree. Before Theo, he co-founded Endgrate and bootstrapped it to $100k+ a year in revenue. Previously, he worked on low-latency software at Citadel Securities.\n\nMiles learned SEO the hard way at Endgrate. He took a product nobody had heard of to thousands of organic clicks a month. Then friends who own businesses asked him to do the same for them, and Miles found himself doing the exact same work every week, for every one of them. That work never ends, and most small businesses can't afford to pay someone to do it forever. So he built Theo: the agent that does it for them.\n\n**THE ASK**\n\nIf you run a small business, or know someone who does, run the free audit at [https://theo.site](https://theo.site/)\n\nTry the product for free.\n\nIntroductions to people who serve lots of small businesses: accountants, marketing agencies, chambers of commerce, franchise groups, and business banks.\n\nReach me at [miles@theo.site](mailto:miles@theo.site)\n\nThank you!\n\nMiles", "url": "https://www.ycombinator.com/launches/W36-theo-the-site-builder-and-engine-that-gets-your-business-found", "votes": 14, "created_at": "2026-10-19T16:00:00.151Z" } ] }, { "id": 34597, "name": "Sentient OS", "slug": "sentient-os", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39c30a4d604edd955f2c2b37f1f7281571ae18fb.png", "website": "https://sentient-os.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Truly personal AI requires running inference on your life, every day. 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Sentient waits for your approval before acting.\r\n\r\nDouble Tap: two taps, two seconds, and the reply you would have written appears, drafted from your personal context and writing style. Just review and send.\r\n\r\nOpen source and built with privacy at its core. Over 30 enterprises use Sentient already.\r\n\r\nOur alpha reached 4,000+ users in its first week with $0 marketing. 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We compress that to months, using physics-based simulation, machine learning and AI agents that only send labs candidates that can actually be made.\r\n\r\nSam, Ofir and Maor have spent the past two years researching the discovery of these exact materials together at the Technion lab of our CSO, Prof. Alon Grinberg Dana (former MIT postdoc), working directly with defense primes and government R&D agencies. Together we bring deep expertise in chemical engineering, computational chemistry and AI, and the production systems to put them to work. ChemPilot spun out of that work.\r\n\r\nThe defense and dual-use industrial base runs on materials with fragile, sole-source and often adversarial supply chains, from energetics and propellants to carbon fibers, high-temperature composites and specialty polymers. Demand for new capabilities is surging, and materials take decades to develop. 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Pick your destination from 33 countries, including the US, the UK, Canada and Schengen countries.\n2. Upload your passport and documents. Our AI verifies them, flags anything missing, fills in all the forms and books your visa appointment.\n3. A human reviews everything to make sure it's done right.\n\nBehind the scenes, our computer-use agents work through the government portals for you.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=122484&key=user_uploads/578651/140a58f6-93a5-4631-aaff-51ce99d2417f)\n\nSince joining YC, we've grown from 1,000 to 7,000+ users. People are recommending us to their families and coming back for their next visa. A woman applied through Veeza AI, then her mom did, then her grandmother. One traveler has had four visas approved through us since June.\n\nAbout 5 billion people have weak passports. We estimate the Global South files 200 million tourist visa applications a year. We're starting with MENA, then the entire Global South. And as personal AI agents start planning and booking people's trips, Veeza AI will be where they turn for visas.\n\n**How you can help**\n\nKnow a travel agency or company whose customers need tourist visas? I'd love an intro for B2B2C partnerships.\n\nYou can reach us at [**founders@veeza.ai**](mailto:founders@veeza.ai).\n\nAly", "url": "https://www.ycombinator.com/launches/VrY-veeza-ai-f26-ai-tourist-visa-agent-for-people-with-weak-passports", "votes": 68, "created_at": "2026-10-19T17:00:00.202Z" } ] }, { "id": 34794, "name": "Petrichor", "slug": "petrichor", "former_names": [ "Qokedas", "Petrichor Bio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fdb7aea2b5558307f53190af023d8e6a2c7ac3be.png", "website": "https://petrichorbio.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Real biology requires a wet lab, and building one takes years and a team most AI companies don't have. 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Frontier VLMs that can unlock this (like Gemini) are too expensive to run at the volume real industries have, too generic for any single task, and can't be deployed on-prem where sensitive video lives.\r\n\r\nWe are building an auto vision factory: take video plus a customer's objective, distill a frontier model, and post-train a small open model that is SOTA on that one task and serve it blazingly fast. Our first product, Marlin, is a 2B-parameter open-weights video VLM that matches Gemini-2.5-flash on dense captioning and temporal grounding at a fraction of the cost. 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Previously visiting researcher at KAIST working on robot learning and long-term memory for decision-making agents. Published at NeurIPS (spotlight) on offline RL during research at Tsinghua. Aerospace Engineering from IIT Bombay.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubh-am-sharma/", "x_url": "https://x.com/happyypablo?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9159802a0bf905460372aec0622850ce7fa0e26.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34862, "name": "Saccade", "slug": "saccade", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/751432518cccc3177c9fa321a442fcfaf7e00fdd.png", "website": "https://saccade.health", "all_locations": "San Francisco, CA, USA", "long_description": "Alzheimer's testing today is bottlenecked around the onset of symptoms, when the damage is already done. Current treatments, including the FDA-approved drugs released in 2024, don't reverse the disease; they only slow it down. Earlier detection means earlier intervention.\r\n\r\nEye movement changes linked to Alzheimer's surface sooner than any other biomarker, up to 15 years before symptoms appear.\r\n\r\nWe deliver a 15-minute VR assessment delivered to patients in longevity clinics:\r\n• Tasks: patients perform visual tasks designed by neurologists to trigger a distinct oculomotor response in people with Alzheimer's or on its path\r\n• Hardware: our patent-pending attachment connects to any VR headset on the market and captures these eye movement patterns.\r\n• Analysis: the patterns are compared against our ML model to produce a risk analysis.\r\n\r\nOnce classified, patients can access new interventions, such as the FDA-approved drugs. They're also referred to longevity practices, neurology practices or both, depending on their stage of decline.\r\n\r\nTesting for the earliest biomarkers allows the earliest possible intervention. In some cases, that slows the disease enough that patients outlive the onset of symptoms and never face memory loss in their lifetime.", "one_liner": "World's Earliest Test for Alzheimer's Biomarkers", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1791296673, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "B2B", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/saccade", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/saccade.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/saccadehealth", "x_url": "https://x.com/saccadehealth", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Saccade-YC-F26", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/751432518cccc3177c9fa321a442fcfaf7e00fdd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 2316918, "full_name": "Shreyas Bhardwaj", "title": "Founder/CEO", "founder_bio": "Founder at Saccade. Prev built medical devices for hospitals; soft robotics researcher", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bhardwajshreyas/", "x_url": "https://x.com/shreyasbhardwj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60555f50c4d0f03a61fcc2d5ac9eb26a042d362a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121747, "title": "Saccade: World's Earliest Test for Alzheimer's Biomarkers", "tagline": "World's Earliest Test for Alzheimer's Biomarkers", "body": "**TL;DR:** Saccade is a 15-minute VR test that catches Alzheimer’s biomarkers earlier than ever before. That lets people start lifestyle changes and new FDA-approved drugs years sooner, when they work best. Sometimes that pushes symptoms past life expectancy, so they never show up. \\\nWe’re live in San Francisco clinics, testing people in their 30s and older for early risk indicators. \\\nYou can book a test at [saccade.health](http://saccade.health) today.\\\n\\\n\n\n**Problem**\\\nCurrent Alzheimer's testing only screens patients after clear symptoms appear, at which point an individual has already suffered significant cognitive decline. New FDA-approved drugs have been proven to slow this decline, but not reverse it. By the time most people get their diagnosis, they've missed their best window to act.\n\n**Insight**\\\nEye movement changes linked to Alzheimer's can be detected up to 15 years before symptoms appear - earlier than any other markers we can screen for. Our product is designed to service those exact changes, giving patients the insight they need to act now.\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/a60db064-10c6-4ca0-bd9c-29389ea2ef4f)\n\n**Product**\n\n* **Tasks:** users complete visual tasks designed by neurologists that trigger distinct oculomotor responses in people with early-stage, pre-symptomatic Alzheimer's\n* **Hardware:** our patent-pending attachment connects to any VR headset on the market and captures high-precision recordings of eye movement patterns.\n* **Analysis:** the patterns are analyzed by our proprietary ML model to produce a risk score.\n\n**Next Steps for Patients**\\\nOnce classified into one of three risk categories, patients can start interventions ranging from preventative longevity practices, further neurological evaluations, and new FDA-approved drugs. Starting treatment early can significantly slow the progression of the disease, allowing some patients to outlive the onset of symptoms and never suffer from memory loss in their lifetime.\n\n**Get tested today: Sign up at [saccade.health](http://saccade.health) and schedule a screening today.**\n\n**Asks**\\\nIntros to US longevity practices and clinics that want to offer early Alzheimer’s testing to their patients. The test takes 10 minutes. I’m happy to meet in person: [shreyas@saccade.health](mailto:shreyas@saccade.health)\n\n![uploaded image](/media/?type=post&id=121747&key=user_uploads/2316918/51c6bcc9-d56f-4332-be61-510f5525d259)\n\n", "url": "https://www.ycombinator.com/launches/Vff-saccade-world-s-earliest-test-for-alzheimer-s-biomarkers", "votes": 6, "created_at": "2026-10-13T18:00:00.187Z" } ] }, { "id": 34893, "name": "Agent 37", "slug": "agent-37", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab818d15979a4594472be995a13a8be6107d4517.png", "website": "https://www.agent37.com/cloud", "all_locations": "New York City, NY, USA", "long_description": "* Ready to Use Instantly: Skip the complex server setup. It comes pre loaded with top AI Agents (like Claude Code and Hermes) so your agents can start working immediately.\r\n\r\n* Keep Your Work Safe: Unlike other systems that delete everything when they finish a task, these sandboxes remember your files, code, and settings forever until you delete them.\r\n\r\n* Pay Only for What You Use: Stop paying for idle servers. You pay a tiny fee to store your files, but you only pay for compute power during the exact minutes your AI is actively running.\r\n\r\n* Zero Infrastructure Headaches: You don’t need to be a senior DevOps engineer or manage complex cloud networks. One simple command handles the entire backend for you.\r\n\r\n* Connect to Any App: Allow your AI agents to securely log into and interact with everyday tools like Slack, Gmail, and GitHub in just a few clicks.", "one_liner": "Persistent sandboxes for agents like hermes, openclaw, claude code", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1789425415, "tags": [ "Developer Tools", "SaaS", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agent-37", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/agent-37.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agent37", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab818d15979a4594472be995a13a8be6107d4517.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 316679, "full_name": "VISHNU KRISHNAPRASAD", "title": "Founder/CEO", "founder_bio": "Founder at Agent 37. Previously Senior Software Engineer at Amazon and Engineering Manager at Quantcast. Founded Real Voxel and Dota2Connect. Began career at ThoughtWorks, progressing from Application Developer to Senior Consultant. Master's in Information Science Management from Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vishnukrishnaprasad/", "x_url": "https://x.com/an_engineer_log", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af07909e3a573c596618d0c014a2af0d27690338.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117160, "title": "Agent37: Host any agent harness", "tagline": "Agent sandboxes that are 94% lower compute cost ", "body": "Hi everyone, I'm Vishnu, founder of Agent37.\n\n**TL;DR:** Agent37 hosts any agent harness (Hermes, OpenClaw, Claude Code, Codex, or your own) so you can give each customer their own agent in an isolated sandbox, for over 95% less than most sandbox providers charge.\n\n![uploaded image](/media/?type=post&id=117160&key=user_uploads/316679/28b659ef-29c9-4364-849c-04dc75b73de9)\n\n\\\n**The problem**\n\nEvery team building an AI agent product needs the same thing underneath it: a private, always-on computer for each agent that keeps its files, wakes when someone messages it, and costs almost nothing while idle. Today there are two ways to get one, and both are bad.\n\nSome teams do it by hand. Chris Nguyen at ETEC+ used to spin up a VPS with a Hermes agent on it for each client and email it over, more than 30 times. Others build it themselves. Wes Merrill at Boon spent close to six months building a provisioning pipeline on Render. In his words: \"it was not fun.\"\n\nEither way, the time goes into plumbing instead of the product.\n\n**What we built**\n\n* Pick a template for any popular agent harness, or bring your own Docker image.\n* Each agent gets its own sandbox with persistent files, a browser, and Gmail, Slack, Notion, GitHub and 1,000+ other apps through Composio.\n* Every customer's agent is fully isolated from everyone else's.\n* Billing is per minute. An idle sandbox only costs its disk.\n* Our open-source starter kit is a white-label app with sign-up, an agent per customer, chat, files and integrations. Rebrand it and launch your own Instinct-style product in your niche.\n\n**What customers have done with it**\n\nBoon writes grant applications for nonprofits. They gave every client their own Hermes agent in 3 days. Their cost per agent went from $85/month to $4.94/month on equivalent hardware.\n\nETEC+ builds agents for Australian support, sales and ops teams. Chris's brief going in: \"Ideally I just want to sell, and not do any backend.\" Six days after picking up our starter kit, they had a branded product where clients sign up, pay, and get an always-on agent, and they moved their 30+ existing clients onto it.\n\n**Our ask**\n\nIf you've built an agent that works and you want to sell it to more than one customer, try us at [agent37.com](http://agent37.com). You get $2,500 in sandbox credits, worth over $50,000 of uptime on most other sandbox providers. And if you know someone who could use this, please send them our way.\n\n**About us:** Our goal is to make running agents affordable for everyone in the world. ", "url": "https://www.ycombinator.com/launches/UTg-agent37-host-any-agent-harness", "votes": 7, "created_at": "2026-09-29T17:00:00.120Z" } ] }, { "id": 34895, "name": "Sigma", "slug": "sigma-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0281f5236edcd7fb1960cb57da29592acd65e490.png", "website": "", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Lakehouse-as-a-Service (LaaS)", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1789180865, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/sigma-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/sigma-2.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/use-sigma/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0281f5236edcd7fb1960cb57da29592acd65e490.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2584915, "full_name": "Rushil Knagaram", "title": "Founder/CEO", "founder_bio": "Founder @ Sigma (YCF26). Previously 1st GTM hire at USUL (YC S24). Studied Neuroscience at Duke.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushil-knagaram/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02d8291cf572f3423aff30e10517718fa40057b3.jpg" }, { "user_id": 2797579, "full_name": "Param Mehta", "title": "Founder/CTO", "founder_bio": "Founder at Sigma (YC F26). Previously Founding Engineer at USUL (YC S24), where he demoed production architecture at Palantir DevCon to Fortune 500 CTOs and built the backend powering 33% MoM revenue growth. Before that, Software Engineer at JP Morgan Chase, where he led the Graphite AI Agent platform automating error handling across 4M+ daily transactions. UIUC CS & Stats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/param-u-mehta/", "x_url": "https://x.com/ParamMehta24", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c201eb58e507e56b7b6315697174a2bd5b4f614c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34896, "name": "Faraday", "slug": "faraday", "former_names": [ "Faraday Cage", "Faraday", "Faraday Cage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbde4bac30252064b1c0af408469172eea1d9b55.png", "website": "https://faradaycompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Faraday builds industrial AI that learns how enterprises operate and executes long-horizon, multi-step tasks from the back office to the shop floor.\r\n\r\nWe sit on top of fragmented systems of record, coordinating work across existing software and teams. We combine operating procedures, enterprise data, and expert feedback to capture the rules and judgment behind complex processes. In customer-specific RL environments, we optimize the agent harness around each company’s systems, constraints, approvals, and exceptions.\r\n\r\nWe’re connecting to industrial hardware to bring live production data into the same feedback loop. Human corrections, machine data, and operating results help improve how agents plan and execute future work.\r\n", "one_liner": "Agents running industrial enterprises from back office to shop floor", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1789851118, "tags": [ "Robotics", "B2B", "Manufacturing", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/faraday", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/faraday.json", "year_founded": 2026, "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/fbde4bac30252064b1c0af408469172eea1d9b55.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1518911, "full_name": "Datta Kaligotla", "title": "Founder/CEO", "founder_bio": "Co-founder at Faraday\n\nSolving the hardest problems with the greatest people\n\nEngineering @ Microsoft, Endeavor, Boeing\nFounding Eng @ Handshake AI Enterprise\nQuant @ Pretium Capital", "is_active": true, "linkedin_url": "https://linkedin.com/in/datta-kaligotla-b2a0b712a", "x_url": "https://x.com/Dattakaligotla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0af06c0d83a4fe24f1f5aefe936dc77c9bc9c1b6.jpg" }, { "user_id": 3675557, "full_name": "Oscar Rangel", "title": "Co-Founder", "founder_bio": "Co-Founder at Faraday. Previously built systems for factories powering a $2B+ steel manufacturer (worthington steel), shipped medical devices for a $100B+ company (Stryker), and worked on projects for NASA astronauts.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-rangel", "x_url": "https://x.com/oscarrangelmora", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/821bac69e02067b2b3f58a5c4df05546e8881c37.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34904, "name": "Viraj Aero", "slug": "viraj-aero", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d151d30449f8a414c0594312df47a98193fd069b.png", "website": "https://www.viraj-aero.com/", "all_locations": "", "long_description": "Viraj Aero builds gas turbines that deliver both power and cooling water for data centers. It needs no grid connection and no water pipeline.\r\n\r\nBurning natural gas already produces water. Our patented system captures that water from the exhaust. Part of it cools the data center. The rest is turned into steam and injected back into the turbine. That gives up to 40% more power from the same fuel (cheaper compute) and cuts NOx emissions by up to 99%, which cuts permit approvals from years to weeks.\r\n\r\nWe're building a genset around our first-of-its-kind gas turbine. It fits in a 10-foot container and runs anywhere, even in the desert. That matters because two-thirds of new data centers are being built in water-stressed regions.\r\n\r\nWe first built this steam-injected turbine for aircraft, where carrying water tanks isn't an option and efficiency is critical. We're currently integrating our full-scale prototype into an aircraft. The team comes from GE, Rolls-Royce and Formula 1, and we're already working with Safran, one of the world's largest aircraft engine manufacturers.", "one_liner": "Next generation gas turbines for data centers & aviation", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789861657, "tags": [ "Hard Tech", "Energy", "Aerospace", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/viraj-aero", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/viraj-aero.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/100603558", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d151d30449f8a414c0594312df47a98193fd069b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 2942294, "full_name": "Joseph Risson", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Viraj Aero, building next-generation gas turbines for data centers and aviation. Aerospace engineer from ISAE-SUPAERO, where I majored in turbomachinery and fluid dynamics. Before Viraj, I worked on hybrid-electric propulsion at Ascendance Flight Technologies, hydrogen propulsion at Beyond Aero (YC W22). Glider pilot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-risson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/528aeb1bb347ef66ae4b8f3a96dff0cbe5adfafb.jpg" }, { "user_id": 2942250, "full_name": "Mathilde Bouilloux", "title": "Founder/-", "founder_bio": "Co-Founder at Viraj Aero.\nEngineer from École des Ponts ParisTech (Institut Polytechnique de Paris). Previously led the development of 6 large-scale power projects totaling 120+ MW (solar, electric and hydrogen) at VINCI Concessions and Neoen, and structured infrastructure and energy investments as an Investment Analyst at Banque des Territoires (French state bank).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mathilde-bouilloux/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb412b64e24d99aac836eb58fe0b575fee5130e1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 34928, "name": "Boat", "slug": "boat", "former_names": [ "Ascii box", "Ascii" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dd00ca6a15fbe23bc8d3447bda9de39006326892.png", "website": "https://boat.dev", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "**Problem**\r\n\r\nHumans used to need laptops to do their work. Now they prompt agents instead, and those agents need computers too: always-on, in large quantities, and with unlimited capabilities. \r\n\r\nBuilding and maintaining that yourself is far from trivial.\r\n\r\n**Solution**\r\n\r\nBoat provides powerful, simple, permissive Ubuntu VMs in the cloud. In a sandbox, an agent can work for long periods on code or on knowledge work like legal, research, reporting, and auditing.\r\n\r\n**Why Boat and not any other cloud VM?**\r\n\r\n1. It is ready out of the box: every sandbox ships with a desktop, chrome, languages, docker, snapshots, and templates, plus a CLI, SDK, API, and control pane for your fleet.\r\n2. It is permissive and paradigm agnostic: any number of agents can use any number of sandboxes. Agents can run inside or use sandboxes as an external tool.\r\n3. It is expertly crafted: we manage everything from the individual CPU to the orchestration software, which makes sandboxes stable, persistent, scalable, and secure.\r\n4. 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Background in spacecraft engineering spanning design, manufacturing, test, and operations. LEO, GEO, and Lunar orbits. Millennium Space Systems, Rocket Lab, Planet Labs, and Interlune.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-lisso-1bbb99b8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6c8ade6ac64de453d61f765a8bc2f1038f4e8e99.jpg" }, { "user_id": 2951855, "full_name": "Matt Hanley", "title": "Founder/CTO", "founder_bio": "Matt is the co-founder and CTO of Inflection Space Systems. \n\nBefore Inflection, Matt was at Loft Orbital helping them scale up their satellite integration and test by implementing new technologies and automation. Before that, he spent 4 years at Rocket Lab building out their space systems division, most notably shepherding the Lunar Photon spacecraft to the Moon. \n\nMatt holds a BS and MS degree in Mechanical Engineering from the University of Colorado Boulder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthewdhanley/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/653a11856978788cdb05d518409fc3503bec6de3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121642, "title": "Inflection Space Systems - Hyperscaling Spacecraft Manufacturing (>10,000/year)", "tagline": "Inflection Space Systems is mass manufacturing standardized spacecraft, and will manufacture 10,000 spacecraft per year by 2031.", "body": "**TL;DR: Mass manufacturing spacecraft using robots and terrestrial parts**\n\n\n\nAt Inflection we are developing the industrial capacity to manufacture tens of thousands of spacecraft per year. Imagine a factory that looks more like an Amazon fulfillment center than a NASA-style clean room.\n\n**The Problem**\n\nThere is a massive disparity between (1) humanity’s plans for space and (2) the manufacturing reality in the space sector. **The human race has made about 30,000 spacecraft, _ever_**. Next-gen space constellations like orbital data centers, Golden Dome, lunar infrastructure, and global D2D connectivity will **require _hundreds of thousands_ of spacecraft** to become reality. There are actual FCC filings for over 1M spacecraft. **Inflection was founded to bridge this 970,000-spacecraft gap.**\n\n**What We’re Doing**\n\n1. **Immediate vertical integration** of the entire spacecraft hardware and software stack. We are designing everything in-house, to ensure all parts are designed for low-cost and high-volume manufacturing. We’ve already built >50% of the stack, including our own flight software and ground software.\n2. **Automating everything.** Now is a great time to build processes, both digital and physical, that use AI and automation. Everything in our factory from supply chain management to metal cutting to testing will be AI-native and will utilize industrial robotics.\n3. **Going to space!** We have booked our first launch for Q1 2028 and are actively booking payload customers.\n\n**Who we are**\n\nAlex and Matt have spent their entire careers designing, building, and operating spacecraft (Rocket Lab, Millennium Space Systems, Planet Labs, and Loft Orbital). They’ve conducted classified government missions (REDACTED), facilitated in-space manufacturing (with Varda), and even sent something to the Moon (Lunar Photon). We have first hand experience with how slow, expensive, and antiquated manufacturing is in the space sector, and we’re going to fix it.\n\n**Our asks**\n\n* **Reach out to us** if you are looking to get something into space or develop a space-based \n* **Hiring.** We are recruiting founding engineers, business development professionals, and manufacturing experts. If you know anyone amazing, please send them our way.\n* **Contact**: [**alex@inflection-space.com**](mailto:alex@inflection-space.com)", "url": "https://www.ycombinator.com/launches/Vdy-inflection-space-systems-hyperscaling-spacecraft-manufacturing-10-000-year", "votes": 3, "created_at": "2026-10-13T15:00:00.132Z" } ] }, { "id": 35058, "name": "Capveon", "slug": "capveon", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/55acb7275a696cdf957737bce96b338f2da2d45f.png", "website": "https://capveon.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Turning infrastructure demand into action ", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1787160988, "tags": [ "GovTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Government" ], "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/capveon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/capveon.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capveon", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/55acb7275a696cdf957737bce96b338f2da2d45f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2765999, "full_name": "Finn Lancaster", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Capveon (YC F26). Prev. SMTS @ Harper (YC W25), Founder @ FinnedAI (~$40k MRR), search ML @ Publix. Optimizing for leverage and learning rate.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/finn-lancaster-a21671219/", "x_url": "https://x.com/flancast90", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49bddadba6904c4c8c593a237077884cb0b606f8.jpg" }, { "user_id": 2096098, "full_name": "Brison Moorhead", "title": "Founder/COO", "founder_bio": "Co-founder & COO at Capveon. Previously founding AE at Bonsai (YC W16, acquired by Zoom). Early sales hire at Harper (YC W25). Ex-HubSpot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brisonmoorhead", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cf891788e8ec825a8ba041b52d95ab1068ea7d4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35093, "name": "Aviern", "slug": "aviern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/906b7c01faee6d9632f1f941bfe737812ec7d0b9.png", "website": "https://aviern.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Aviern makes unmanned cargo airplanes for commercial operations and defense logistics. 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Taught drone engineering at UCLA and led the autonomous aerial systems club. Previously drone operations at Matter Intelligence and AI agent integration at Fetch.ai. BS Aerospace Engineering from UCLA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kushhansagarwal/", "x_url": "https://x.com/KushHansAgarwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/925de1f71921581a3c17e6c48e22fedbba68eac1.jpg" }, { "user_id": 4004645, "full_name": "Arvin Singh", "title": "Founder/CTO", "founder_bio": "Founder at Aviern (YC F26). Taught aircraft engineering at UCLA and led subteams within the Design Build Fly at UCLA club. Been creating YouTube videos for several years of home-built engineering projects", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arvin-singh-b0b1a7240?utm_source=share_via&utm_content=profile&utm_medium=member_ios", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e770b75324a5fa22497bcdd673b3370a191b7b42.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35094, "name": "Forward", "slug": "useforward", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/717ea600e14829731cf877a194aca957195d9b27.png", "website": "https://www.useforward.co/", "all_locations": "San Francisco, CA, USA", "long_description": "An AI platform that connects commercial debt advisors with mandate matching private credit funds. 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Rugby at Warringah Rats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/riley-janjis-6aa9b5264", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a925688c2c69af02945d7a87e84330d0217206a.jpg" }, { "user_id": 4021700, "full_name": "Darryl Luo", "title": "Founder/CTO", "founder_bio": "Founder at Forward (YC F26). 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MS in CS from Texas A&M, B.Tech from IIT Guwahati.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prasanthganta/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4eca3ebbc9bbc98ad81b1f159c0ec6a7c41e4d72.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35125, "name": "Altair Health", "slug": "altair-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54aa8da5f81192f8484dda70b284e56e5b9cb6a6.png", "website": "https://www.altair-health.com", "all_locations": "Austin, TX, USA", "long_description": "Altair is an AI-native medical billing service for independent practices. We take over a practice's billing end to end and get doctors paid by insurers. AI does the work; our billers handle the exceptions.\r\n\r\nThat can only work if a practice can trust an agent alone with its revenue. So we formalized insurers' billing policies and put a theorem prover under the agent. Before the agent acts on a claim, the prover checks the action against that insurer's policies, and anything that fails goes to one of our billers. \r\n\r\nEvery claim teaches Altair how each insurer behaves, so the longer we run a practice's billing, the better we predict what its insurers will pay, deny or delay.\r\n\r\nWe're building the default way a new practice gets paid: a doctor connects their EHR and bills clean, completely self-serve and on auto-pilot.\r\n\r\nAltair will be the financial platform every independent practice in America starts on and stays on. And to the Health Insurers' \"Delay, Deny, Defend\", we say \"Predict, Prevent, Prevail\".", "one_liner": "Stripe for medical billing", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1792016571, "tags": [ "Health Tech", "Healthcare", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "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/altair-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/altair-health.json", "year_founded": 2025, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/s7-lab", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54aa8da5f81192f8484dda70b284e56e5b9cb6a6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 2750568, "full_name": "Aouss Sbai", "title": "Founder/CEO", "founder_bio": "Founder at Altair Health (YC F26). Previously Regional Sales Manager at Grafana Labs, hitting 362% of quota and $1.7M ARR. Before that, #1 Junior Sales Engineer worldwide at AppDynamics after closing Coca Cola, HSBC, and Barclays in first 2 years. MEng Computer Science from University College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aouss-sbai/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dfe18bdf6f4ab419c6d226977a8d10e58a3ba3c.jpg" }, { "user_id": 3133483, "full_name": "Jad Sbai", "title": "Founder/CTO", "founder_bio": "Founder at Altair Health (YC F26). PhD in Machine Learning at the University of Cambridge. Previously founding ML research engineer at Helical AI (10M Seed). Show jumper and rallying aficionado.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jad-sba%C3%AF/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a7134231c347241a68ece70e174ce9268bd4b08.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35126, "name": "Armorer Labs", "slug": "armorer-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fd9c58c48b1017644c81d6d495140aab28b5782.png", "website": "https://armorerlabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Armorer helps companies in regulated industries ship their own AI agents faster and keep them secure in production.\n\nMost security tools flag an issue and file a ticket. Armorer assesses your agent and simulates attacks to find the real issues. Then it creates a verified fix that stops the attack without breaking the business, ready for your approval in about 4 hours.\n\nIn production, Armorer checks every agent action in milliseconds, with no GPU needed. It detects malicious behavior such as prompt injection, goal hijacking and data leaks, then allows, holds or denies the action.\n\nArmorer's detection models beat every other detector we tested on six public benchmarks. Armorer is 22% more accurate than JEV while being 88x faster, so users won't feel the delay.\n\nWe spent years building and evaluating AI security systems together at AWS, including its first customer-facing AI security agent, which scaled to 100k+ customers. Armorer is backed by Paul Vixie, Internet Hall of Fame inductee and former AWS Deputy CISO.", "one_liner": "Continuous security verification for AI agents in regulated industries", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1792423718, "tags": [ "Developer Tools", "DevSecOps", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/armorer-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/armorer-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/armorer-labs/", "x_url": "https://x.com/Armorer_Labs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ArmorerLabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9fd9c58c48b1017644c81d6d495140aab28b5782.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3565232, "full_name": "Daniel Begimher", "title": "Founder/CEO", "founder_bio": "Co-founder of Armorer Labs. Previously led the global Application Security technical field community at AWS, where he led development of AWS Security Incident Response's AI-powered investigative agent from early development through public launch. Author of SIR-Bench - evaluation method for security agents; author of ASH code scanner (200K+ monthly clones); co-created ThreatForest, selected for Black Hat USA 2026 briefing. Led incident response for Fortune 500 breaches and red-team operations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/begimher", "x_url": "https://x.com/begimher", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65ec4b4f705715309b8e611b94be913d1dd8b4bb.jpg" }, { "user_id": 2650696, "full_name": "Cristian Leo", "title": "Founder/CTO", "founder_bio": "Co-Founder of Armorer Labs (YC F26). Led AI security science at AWS, building and evaluating AI systems for security.\n\nHe is the creator of ThreatForest, the first open source automated threat modeling agent, and a co-author of SIR-Bench, a benchmark for evaluating AI security investigations. He is a Black Hat and re:Invent speaker.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cristian-leo", "x_url": "https://x.com/cristian_le0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4915942599f3bc8c2903c0737b6be6746b2d15a9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35127, "name": "Rhem Labs", "slug": "rhem-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/36cbf39bb5d034d7765e7ee595b7fac4dc2358e5.png", "website": "https://rhem.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Rhem Labs builds smart home care devices that help older adults and people with complex care needs live independently. ", "one_liner": "Home care technology for aging parents and their families", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1790296181, "tags": [ "Robotics", "Health & Wellness", "Consumer Products" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "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/rhem-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rhem-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rhem-labs/", "x_url": "https://x.com/rhem_labs", "fb_url": "https://www.facebook.com/p/Rhem-Labs-61589516291255/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/36cbf39bb5d034d7765e7ee595b7fac4dc2358e5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 1690205, "full_name": "Jacob Shen", "title": "Founder/CTO", "founder_bio": "Founder and CEO of Rhem Labs. Previously Founding Engineer at Mattoboard. Researcher at Berkeley AI Research Lab, designing scalable autonomous driving systems. CS & DS @ UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jacobshenn", "x_url": "https://x.com/jacobshenn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ca561b3c3e92baf0165872ddf890095c47ccc12.jpg" } ], "jobs": [ { "id": 104064, "title": "Founding Creative Generalist", "url": "https://www.ycombinator.com/companies/rhem-labs/jobs/TCR7cgZ-founding-creative-generalist", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $110K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 117929, "title": "Rhem Labs: Health assistant robots for your parents", "tagline": "Rhem handles everything that doesn’t need a pair of hands, while keeping you in the loop.", "body": "## TLDR:\n\n**Aging at home has a visibility problem. Small changes in health and routine can go unnoticed for weeks or months, until the first obvious sign is something serious. Rhem is a tabletop robot that helps families see those changes earlier, while giving parents the everyday support they need to stay independent longer. Rhem was designed with older adults in mind, but it’s for anyone who wants help getting things done and staying on top of their health.**\n\nPreorders are open now at \n\n\n\n## \n\n## The Problem\n\n**At some point, you start paying attention to your parents differently.**\n\nMaybe there was a scare. Maybe Mom missed an appointment. Maybe Dad sounds more tired. Or maybe nothing happened at all. You just start wondering whether everything is as fine as they say.\n\nIf you don’t live with them, you mostly get snapshots: a call, a text, a FaceTime.\n\n**You don’t see the full day.**\n\nYou don’t know if routines are slipping, something is getting harder, or a small change is becoming a pattern.\n\n**We learned this the hard way with my grandmother.**\n\nBefore her stroke, she was sleeping badly, talking less, and seemed unlike herself.\n\nThe signs were there. But my dad had a newborn and a full-time job. My grandfather was working too. Everyone cared, but no one saw the whole picture.\n\n**We each saw pieces. No one put them together until something much bigger happened.**\n\n## **How it works for your parents**\n\nRhem lives in the home and becomes the easiest way for your parent to get things done and keep track of their health.\n\nThey just need to say:\n\n“Remind me after dinner.”\n\n“When is my appointment?”\n\n“Order our usual groceries.”\n\n“Tell Jacob I need a ride tomorrow.”\n\nRhem can browse websites, make calls, manage reminders, answer questions, place supported orders, and follow up.\n\n**If it doesn’t require a pair of hands, Rhem can probably handle it.**\n\nThey can also take supported wellness readings on Rhem, keep track of routines, and see how things change over time.\n\nWhen something needs you, **Rhem brings you into the loop through the rhem connect app.** You can answer a question, add context, or help finish the task. **Help Rhem once, and it remembers how to do it next time.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/9adf4655-4900-4fe0-bdec-29e333c8a3dd)\n\n## **How it works for families**\n\nYour parent gets an assistant. **You get a clearer picture of how they’re doing.**\n\nThe Rhem app brings together health readings, routines, requests, completed tasks, and alerts. You can see what changed, what Rhem handled, and when you’re needed.\n\nFrom anywhere, you can send reminders, leave voice messages, ask Rhem to check in, talk to your parent, or ask about information they’ve shared.\n\nOver time, Rhem helps you spot patterns. **One bad night may mean nothing. A month of worse sleep, missed appointments, and changes in routine is something you want to know about.**\n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/c7652236-3ca9-40a0-9ea8-d1e2160852fc)\n\n## **Why we built Rhem**\n\n**We’re a father-and-son team, and our family spent nearly two decades caring for loved ones at home.**\n\nBefore my grandmother had a stroke, there were signs that something was changing. She was sleeping badly, talking less, and seemed unlike herself. We all noticed pieces of it, but nobody had the full picture until much later.\n\nMy aunt had a different problem. A brain tumor left her with limited mobility, so a lot of everyday things depended on someone else being available. Making a call. Looking something up. Ordering something. Figuring out what needed to happen next.\n\nA lot of the time, she didn’t need someone physically next to her. She needed someone who could help her get things done.\n\nThat’s where Rhem came from.\n\n**We wanted something that could notice when things were changing, help with the everyday stuff, and bring family in when they were actually needed.**\n\nThe goal is simple: give our parents more independence, while letting us spend more time being their family instead of managing everything around them.\n\n## **Team**\n\nJacob: Berkeley CS & DS, researcher at Berkeley AI Robotics Lab with a focus on full stack autonomous driving and edge computing, founding engineer at Mattoboard.\n\nHuey: Executive leader with 30+ years of experience building smart hardware with embedded software at scale and leading global operations across North America, Europe, and Asia. \n\n![uploaded image](/media/?type=post&id=117929&key=user_uploads/1690205/2ae2c872-97c6-4ff3-9c05-dde53439c9b4)\n\n## Why order now\n\nIf you’re ordering a Founding Edition, thank you.\n\nWe know we’re asking you to trust a new company and buy something for someone you care deeply about. We don’t take that lightly.\n\n**Every Founding Edition includes:**\n\n* **Founding Price of $1099 before our price increase to $1499 on Jan 20th**\n* **1 x Halo Non-wearable Fall Detector ($80 Value)**\n* **2 years of Rhem Plus included ($480 Value)**\n* **2 x Merch Pack & Goodies**\n* **Direct access to our team** for setup, questions, and feedback\n\n**Thank you for being here at the beginning. We can’t wait for Rhem to start making your parents’ lives a little easier.**\n\nPreorder now at: \n\n**_Here's to more good years with the people who raised us. 💙_**\n\n**— Jacob & Huey**", "url": "https://www.ycombinator.com/launches/Ug5-rhem-labs-health-assistant-robots-for-your-parents", "votes": 7, "created_at": "2026-10-06T16:00:00.079Z" } ] }, { "id": 35128, "name": "Talos", "slug": "talos-us", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adf2f2d3e67de554b1df8a77cdc1d6dd943928ec.png", "website": "https://www.talos-us.com/", "all_locations": "Baltimore, MD, USA", "long_description": "At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models. 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Our system autonomously builds 100kWp of capacity per day and is easily scalable to MWs of capacity which is a size currently only serviced by slow moving and at capacity EPCs. \r\n\r\nAs demand from data centers, advanced manufacturing, and electrification strains existing power infrastructure, the ability to deploy substantial generation quickly is becoming increasingly valuable and unavailable. We are the only company that services utility-scale power needs in weeks. 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Previously built GTM agents at Pocus, acquired by Apollo.io. Built AI platform and query compiler at Sigma Computing, including Lookups (VLDB 2022 paper). BS Cognitive Science from Tufts.", "is_active": true, "linkedin_url": "https://linkedin.com/in/deepanshuu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3e5720bac46c358885356fb1791792bb7f16f0e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35261, "name": "Asakana", "slug": "asakana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b17bfb784fbfd8ce18bf9fc551a8a6c2a2c68f02.png", "website": "https://www.asakana.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Restaurants send orders to food distributors by email, text, and photo. Someone at the distributor retypes every one of them into the ERP. Asakana does that entry instead: orders land in the ERP already entered, and anything unclear goes to a person before it goes in. Live at US seafood distributors today, returning 40%+ of order-desk time to selling. Founded by a seafood distributor and a Gemini builder.", "one_liner": "Automating away manual admin for food distributors: texts to ERP", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1788189674, "tags": [ "SaaS", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/asakana", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/asakana.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/asakana", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b17bfb784fbfd8ce18bf9fc551a8a6c2a2c68f02.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 2626949, "full_name": "Yudai Matsuoka", "title": "Founder/President", "founder_bio": "Fish-lover🐟 / Ex-Fisherman / Ex-McKinsey. \n\n- Tuna Distributor: Mitsubishi Corporation (Tokyo)\n- Fisherman: Yellowtail fish farm (Kagoshima, Japan)\n- Consultant: McKinsey (Tokyo, New York)\n- MBA: Columbia Business School / UC Berkeley Haas", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yudai-matsuoka/", "x_url": "https://x.com/asa_sakana_fish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff46b74b7650c8f47e27ea55d3058e50ec7897bd.jpg" }, { "user_id": 2103989, "full_name": "Benjamin Solis-Cohen", "title": "Founder/CTO", "founder_bio": "Co-founder at Asakana. Previously senior AI research engineer at Google launching Gemini in Chrome and computer use agents (e.g. Project Mariner back in 2024). Contributed to the first Gemini Computer Use model paper. 8 years at Google spanning Ads ML and AI research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bsoliscohen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/388993f3bff5ce56aeeba560e6f088831a2797cd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122477, "title": "Asakana: Automating sales and the entire back office for food distributors", "tagline": "Asakana translates texts, calls and handwritten notes from restaurants directly into existing ERPs, including orders, credit memos, returns. Restaurants and distributors change nothing. ", "body": "**TL;DR:** Food distributors still receive orders from old-school restaurants via text, phone and handwritten notes, and a rep manually retypes every one into a legacy ERP. Asakana reads those messages and does the entry automatically. Restaurants and reps keep working the way they do today. In production at a US food distributor.\n\n\n\n**The problem**\n\nA food distributor runs on messages. Restaurants order by text, phone, WhatsApp, a photo of a handwritten note, often not in English. They report an incorrect, short, or damaged delivery the same way. A rep or an admin staff member reads every one of those messages and enters it by hand into an ERP or spreadsheet: the order, the return, the credit memo.\n\nOne of our customers receives about 60 orders a day this way, some over 75 lines. A sales rep reads each one, works out which of 10 salmon items \"salmon\" means, and types it into the ERP line by line. Then the credit requests from yesterday's deliveries, each one a return and a credit note typed in by hand. Reps there spend about 30% of their day on this.\n\nApps and portals tried to replace this manual work, but old school restaurants and distributor’s sales reps never learned them, so the retyping remained. The US has more than 27,000 food distributors and their 100,000 sales reps and back-office staff suffer from painful manual work like this.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/75737558-db33-4f61-b265-2230e25c9ef6)\n\n**What Asakana does**\n\nAsakana does the manual work so reps can focus on selling. Restaurants and reps keep working the way they do today. Three steps, the same for every workflow:\n\n* Read messy information: spreadsheets, PDFs, handwritten notes, and messages, down to the photo of the handwritten invoice a driver brings back from a delivery.\n* Understand your business: customer habits, product shorthand, and unwritten rules. \"Same as last Friday\" is order SO-78211. \"AC\" means albacore tuna. Salmon is always skin-on.\n* Connect to your systems: work directly with your existing ERP and tools.\n\nAnything unclear goes to a person before it goes in. The rep gets one email notification per task: what was entered and anything to keep an eye on.\n\nWorkflows we automate this way:\n\n* Order entry\n* Credit memos and returns\n* Upsell suggestions\n* Cutoff reminders\n* Past-due collections\n* PO creation\n* New customer discovery\n\nChinese, Korean, Spanish, Japanese: read the way they were written, with the shorthand and nuance of each language, and matched to the item in the English catalog.\n\nAnything that moves by hand from a message into a system or a spreadsheet, we automate.\n\n**The team**\n\nWe're Yudai and Ben. Yudai was a fisherman and a seafood distributor (Mitsubishi Corporation), where he did this manual work himself, then at McKinsey transformed companies that still ran on it. Ben spent 8 years at Google as a senior AI research engineer on Project Mariner and Gemini.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/00516563-7bf8-455c-8256-40d8ce2b5667)\n\n**Our ask**\n\nIf you work at or know a food distributor please reach out.\n\nWebsite: [asakana.co](https://www.asakana.co/?utm_source=launch_yc&utm_medium=referral&utm_campaign=yc_launch_202610)\n\nEmail: [yudai_matsuoka@asakana.co](mailto:yudai_matsuoka@asakana.co)\n\nBook a call: \n\nYudai and Ben", "url": "https://www.ycombinator.com/launches/VrR-asakana-automating-sales-and-the-entire-back-office-for-food-distributors", "votes": 52, "created_at": "2026-10-16T19:00:00.208Z" } ] }, { "id": 35262, "name": "Bryel", "slug": "bryel", "former_names": [ "Bryel Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e4fc1c46193139a87be8a9d372f3ac8ccd413c42.png", "website": "https://www.bryel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Perceptual reasoning models that are easily customizable", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1790013807, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bryel", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/bryel.json", "year_founded": 2026, "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/e4fc1c46193139a87be8a9d372f3ac8ccd413c42.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1018569, "full_name": "Kevin Miao", "title": "Founder/CEO", "founder_bio": "Founder at Bryel Labs. Senior Research Engineer at Apple and Lecturer at UC Berkeley. Previously researcher at Berkeley AI Research (BAIR). MS and BA in Computer Science from UC Berkeley. Born and raised in the Netherlands; speak 8 languages!", "is_active": true, "linkedin_url": "https://linkedin.com/in/miaok", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f572212a54e5f1d49a55cd5756b40e37d17c545d.jpg" }, { "user_id": 308334, "full_name": "Frankie Li", "title": "Co-Founder", "founder_bio": "Co-Founder at Bryel Labs. Previously helped train models and led product at Fundamental Research Labs (a16z-backed, MIT spinout), hire #3 where he scaled products to millions of users and revenue, including Shortcut (Excel copilot used by 1000+ companies). Harvard Grad.", "is_active": true, "linkedin_url": "https://linkedin.com/in/lifrankie", "x_url": "https://x.com/frankieli_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/047bce39c95f4abb8a5bc6223a0dad30191dbfe4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 119338, "title": "Bryel - Building your in-house frontier AI lab", "tagline": "Bryel helps your company to build an in-house AI lab, then gives you the software to train and continually improve your own models.", "body": "Hey YC, **we’re on a mission to build a billion models, trained by you.** We’re [Kevin](https://www.linkedin.com/in/miaok/) and [Frankie](https://www.linkedin.com/in/lifrankie/), co-founders of Bryel.\n\n## TL;DR\n\n**We’re your cracked AI training team, on demand.** We partner with your company, build your in-house model training capabilities, and leave behind Bryel Foundry, our software that makes model development and continual improvement 10x simpler. Think of it as your in-house AI lab. We’ve trained models for Apple, Framer, and F500s.\n\n**Ask:** Considering training your AI model? Email [frankie@bryel.ai](mailto:frankie@bryel.ai)\\\n\\\n\n\n## Problem\n\n**When you train a model for everyone, you train it for no one.** \n\nFrontier models are incredibly capable generalists, but they fall short on the specifics. So teams build harnesses to work around the edges and cover the gaps: more prompting, more harness infra, more retries, and stricter evals.\n\nEventually, quality plateaus. We’ve met many teams that are buried in harness work, layering on more and more infrastructure and patches to keep things working. That’s where model training is worth a serious look. With recent advancements in the open-source ecosystem and post-training methods, a few thousand good examples can produce a model that beats frontier APIs on your task, and it’s cheaper to run and deployable on-prem.\n\nThe challenge has always been that training is slow, expensive, experimental, and requires specialized knowledge. That’s where we help.\n\n## Solution\n\nWe forward deploy into your company, to help you set up your AI model training capabilities end-to-end, and hand off software to help you maintain and continually improve your AI models. Our product, the Bryel Foundry, has been built from everything we learned doing this by hand, many times over.\n\nModels we commonly help train:\n\n* **OCR/Classification Models** that run 20x faster.\n* **Search & Embedding models** that cost 5x less. \n* **Long horizon agent models** that match frontier performance at 5-8x lower cost\n\n**One more thing,** we have a second ask. If you know companies that have a lot of proprietary data and no ML team (think insurers, logistics, healthcare, legal)? We'd love a 20-minute intro. We're not looking to sell, just to learn. Happy to return the favor.\n\n![uploaded image](/media/?type=post&id=119338&key=user_uploads/308334/6ae442d6-a2d9-4c5b-ba4e-3772f96daa55)\n\n", "url": "https://www.ycombinator.com/launches/V2o-bryel-building-your-in-house-frontier-ai-lab", "votes": 2, "created_at": "2026-10-07T16:00:00.171Z" } ] }, { "id": 35263, "name": "River", "slug": "rivereditor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/47198fc0e393650eaf6b3a2b120ff40b912a2645.png", "website": "https://meetriver.com/", "all_locations": "San Francisco, CA, USA", "long_description": "AI made software engineers 100x more productive. We're bringing that same transformation to knowledge workers with the AI desktop.", "one_liner": "The AI desktop.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1789671117, "tags": [ "Productivity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/rivereditor", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rivereditor.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/riverdesktop", "x_url": "https://x.com/riverworkspace", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/47198fc0e393650eaf6b3a2b120ff40b912a2645.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 40803, "full_name": "Brian Joseff", "title": "Founder/CEO", "founder_bio": "Founder at River (YC F26). Previously founder at Bedrock (2020-2023). Neuroscience researcher at Stanford School of Medicine. Founding team at Progressly (acquired by Box). BA Economics from Dartmouth. Semi-pro soccer stint.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brianjoseff", "x_url": "HTTPS://x.com/brianjoseff", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dda43679e799220dfe3472916cbb05518bf99736.jpg" }, { "user_id": 956498, "full_name": "Chandler Supple", "title": "Founder/CEO", "founder_bio": "Co-founder @ River (YC F26). Prev. SWE @ Roboflow (YC S20), Z Fellows, co-founder @ Outwork, UC Berkeley CS dropout", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chandlersupple/", "x_url": "https://x.com/ChandlerSupple", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03a189520e099428f37c1f8652c9474eb1c611b9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35265, "name": "Hopper", "slug": "hopper", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6640b732eb4efe17f2fb11ff75f6f6bc14184872.png", "website": "https://withhopper.com", "all_locations": "San Francisco, CA, USA", "long_description": "Train, inference, and continuously improve any model.\r\n\r\nHopper post-trains STT, TTS, and LLMs on your production traces, then serves and improves them against your live traffic.", "one_liner": "Inference and post-training for realtime agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1788561875, "tags": [ "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hopper", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hopper.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/143037522", "x_url": "https://x.com/hopper_research", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6640b732eb4efe17f2fb11ff75f6f6bc14184872.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 612777, "full_name": "Pavan Katta", "title": "Founder/CEO", "founder_bio": "CEO at Hopper (YC F26). Previously led post-training at Salient ($60m series a from a16z). Electrical Engineering from IIT Madras", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pavankatta1998/", "x_url": "https://x.com/PavanKatta1998", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b574e6a60c5a077b24959ebb5528296ed6bb9cb8.jpg" }, { "user_id": 2168649, "full_name": "Jashwanth Pedapudi", "title": "Founder/CTO", "founder_bio": "CTO at Hopper (YC F26). Previously kernels engineer at Meta Reality Labs. Electrical Engineering from IIT Madras", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jashwanth12/", "x_url": "https://x.com/jashwanth_p", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/68915ff570196397487cc4d5d9f4b60d93624720.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35266, "name": "TrueMile", "slug": "truemile", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/94408cc02a79b94fd281d47aabc0056465683df6.png", "website": "https://TrueMile.AI/", "all_locations": "San Francisco, CA, USA", "long_description": "TrueMile is building a fully autonomous logistics company, starting with trucking. Delayed pickups, empty miles and poor planning eat into a carrier’s profits. Our agents coordinate loads, routes, driver schedules and fuel stops to earn more from each truck and lower the cost of moving goods.\r\n\r\nWe’re starting with our own fleet so we control execution, learn from every delivery and keep the gains. Human drivers come first. As autonomous trucks become available on our routes, we’ll have the customers, freight and infrastructure ready for them.\r\n\r\nAs we drive toward AGI, people will still need groceries, clothes and materials to build their homes. Someone has to move all of it. We want every leap in AI to show up in what people pay for everyday goods.", "one_liner": "An AI-operated logistics company.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1790031761, "tags": [ "AIOps", "Machine Learning", "Logistics", "Data Science" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/truemile", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/truemile.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/truemile/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/94408cc02a79b94fd281d47aabc0056465683df6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a12b26e20f33313f399874daf66fede460128c50.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 3107234, "full_name": "Harpreet Dhaliwal", "title": "Founder/CEO", "founder_bio": "Harpreet has generated over $7M+ in trucking revenue, running his family's fleet since 19 and building the operation agents that became TrueMile. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harpreet-dhaliwal/", "x_url": "https://x.com/harpreetd14", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c44eac0421520202a48251098ea059ed7d9a460b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35289, "name": "ByteAsk", "slug": "byteask", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bcbfe2855ffcd587858880c19e9ea0940b81943.png", "website": "https://byteask.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "ByteAsk is an AI coding agent built for C and C++, the code that runs trading systems, cars, chips, and operating systems. It does not stop at a diff that looks right. ByteAsk builds, debugs, and tests every change with the real toolchain until the change holds. If the compiler, the debugger, or the tests can catch it, then ByteAsk catches it too. It runs from the terminal or inside VS Code, Neovim, and Emacs, and is available fully on-prem.", "one_liner": "The AI coding agent for C and C++", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1788984366, "tags": [ "Developer Tools", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/byteask", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/byteask.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/byteask/", "x_url": "https://x.com/ByteAsk", "fb_url": null, "cb_url": null, "github_url": "https://github.com/ByteAsk", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6bcbfe2855ffcd587858880c19e9ea0940b81943.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2695229, "full_name": "Anirudha Kulkarni", "title": "Founder/CEO", "founder_bio": "Debugged low-latency C++ at Optiver and Quantbox; now building the agent that does it.\n- At Quantbox, built a Python-to-C++ transpiler for trading strategies: 1.5 s to 150 ns, beating hand-optimized C++.\n- Spoke at CppCon 2026 on C++ in the age of AI.\n- Co-founded LawSutra AI (CEO); acquired within months by Manupatra, India's largest legal-tech firm. Its search now serves 100k+ lawyers.\n- IIT Delhi CS (B.Tech + M.Tech)\n- 3rd in India, Jane Street Electronic Trading Challenge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anirudha-kulkarni47/", "x_url": "https://x.com/4n1rudh4/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e36405cd531703cc167d83378745f29bb7f5512.jpg" }, { "user_id": 2563559, "full_name": "Pratyush Saini", "title": "Founder/CTO", "founder_bio": "Pratyush is the co-founder and CTO of ByteAsk, an AI coding tool for C and C++. He studied Computer Science at IIT Delhi. He was a core engineer on NeuralDB and BOLT, ThirdAI's CPU-only search and deep learning engines, then a founding engineer at Simbian, where he co-built the AI security agent that handles over a million incidents a year. He co-founded LawSutraAI as CTO and sold it to Manupatra, India's largest legal tech firm, where his legal research agent serves over 100,000 lawyers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pratyush-saini-96108a1a7/", "x_url": "https://x.com/pratyush1505", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31076f036b7173d8933412fddd7492d7bddad150.jpg" } ], "jobs": [], "news": [ { "title": "Two IIT Delhi Grads Built & Sold an AI Startup in 4 Months. Now They Are Building for C++", "url": "https://analyticsindiamag.com/ai-startups/two-iit-delhi-grads-built-sold-an-ai-startup-in-4-months-now-they-are-building-for-c", "date": "Sep 24, 2026" }, { "title": "AI coding startup ByteAsk raises $1 million from YC, Entrepreneur First - The Economic Times", "url": "https://economictimes.indiatimes.com/tech/startups/ai-coding-startup-byteask-raises-1-million-from-yc-entrepreneur-first/articleshow/134443548.cms?from=mdr", "date": "Sep 24, 2026" } ], "launches": [] }, { "id": 35290, "name": "Antropi Robotics", "slug": "antropi-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "website": "https://www.antropi.world/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Autonomous CNC factories for faster hardware", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1786284917, "tags": [ "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/antropi-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/antropi-robotics.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/antropi-robotics/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8c101f20a3b29a6ae368d81297168e49391e75a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2771579, "full_name": "Naman Gupta", "title": "Founder/CEO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namangupta24/", "x_url": "https://x.com/namaangupta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/198dcb03b52084327028f3f0ed3bbe71ee8f2090.jpg" }, { "user_id": 2771603, "full_name": "Shubh Agarwal", "title": "Founder/CTO", "founder_bio": "Founder at Antropi Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhagarwal566/", "x_url": "https://x.com/Shubh__Agarwal_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/595067adc4990aba2aa8149c62d3b0ae87788190.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 123265, "title": "Antropi Robotics | CNC parts in days, from autnomous factories", "tagline": "Turning your designs into precision metal parts in days", "body": "👋 **Hey Everyone!** I’m Naman. My best friend Shubh and I are building **Antropi Robotics**.\n\n**We make inspected CNC parts for hardware teams.** Our first factory is live and already shipping parts to customers with **lead times under 7 days**.\n\n**Our goal:** a network of autonomous factories across the US, making and delivering parts locally in as little as 24 hours.\n\n\n\n## ⚙️ Problem\n\nBefore starting Antropi, I spent six months running my dad’s CNC machining business in India. The biggest lesson was simple: **automating the machine is not the same as automating the factory.**\n\nA CNC machine can cut automatically. But someone still has to plan the job, load the machine, inspect the part, and decide what to do when something goes wrong.\n\nFor hardware teams, this becomes a familiar cycle. Prepare drawings. Request quotes. Go back and forth on manufacturing details. Wait for a production slot. Wait for the parts.\n\n**Every week spent waiting is a design iteration you don’t get before your next demo.**\n\nAdding a robot to load the machine fixes one step. It does not tell the factory whether the part is correct, or what should happen next.\n\n## 🤖 Solution\n\nWe’re building **dark factories: autonomous factories designed to run 24/7.** Our Factory OS connects job planning, CNC machines, robots, and inspection into one system.\n\nSoftware turns CAD into machining programs and checks them in simulation, with an engineer approving them before production.\n\nRobots load and unload. Machines cut. **Every part is inspected.**\n\nInspection feeds back into production, so the system can make supported corrections or stop the machine before a problem repeats.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/275935ea-e97d-40e7-b0fa-cc9d04977486)\n\nFor you, it’s simple: upload your CAD, confirm your requirements, and receive inspected parts with an inspection report.\n\n**You buy parts. We handle the factory.**\n\nWe’re also building agent ordering through our MCP server and a **Rush option** for priority production.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/c7d0124b-0e12-4a10-b4ca-322ecac60205)\n\n\n## 🌎 Vision\n\n**One factory is the start. The network is the point.**\n\nOur long-term plan is hundreds, eventually thousands, of microfactories across the US, close to the teams building hardware. The same Factory OS will coordinate production across the network.\n\nAutonomy removes waiting inside the factory. Local production puts the finished part closer to you.\n\nThe target: **American-made precision at China-competitive prices**, with local delivery in as little as 24 hours for supported parts.\n\nShenzhen-like speed, without needing to build in Shenzhen.\n\n![uploaded image](/media/?type=post&id=123265&key=user_uploads/2771579/e012541d-ba88-4809-9423-a1935c878aec)\n\n\n## 🛠️ We’ve spent nine years getting hardware built.\n\nShubh and I met in college in 2017. We both studied computer science, built Mars rovers together, and competed internationally. We also spent plenty of days in CNC shops waiting for parts.\n\nBefore running my dad’s business, I was the first employee and Chief of Staff at Accio Robotics, a warehouse automation company in India, participating in its journey from the first product through scaling and acquisition.\n\nShubh completed his Master’s in Robotics at the University of Pennsylvania, working with robotic manipulators. After his master’s, we started Antropi.\n\nWe have experienced this problem as the people waiting for parts and as the people responsible for making them.\n\n**Now we’re building the factories we wish we’d had.**\n\n## 🙌 Ask\n\n**Need CNC parts?** Send us your most challenging part and we’ll get it done. \n\n👉 [www.antropi.shop](http://antropi.shop)\n\n**Know a team scaling production?** We’d appreciate introductions to hardware or procurement teams at Series B+ companies in computing infrastructure, robotics, medical devices, and energy.\n\nWe’re happy to start with one part and earn the next order.\n\n**Naman & Shubh**\n\nAntropi Robotics", "url": "https://www.ycombinator.com/launches/W49-antropi-robotics-cnc-parts-in-days-from-autnomous-factories", "votes": 5, "created_at": "2026-10-19T18:00:00.087Z" } ] }, { "id": 35291, "name": "Elimentary", "slug": "elimentary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5345725230878bce19968d49bf36c1acda691f77.png", "website": "https://www.elimentary.com", "all_locations": "New York City, NY, USA", "long_description": "Elimentary’s is building AI agents that can run middle/back-office operations for private capital managers, starting with structured credit. Most private capital managers focus primarily on sourcing and capital deployment. Meanwhile post-investment operations receive step-child treatment. While AUMs have increased exponentially over the last decade, operations continue to be painfully supported by humans using spreadsheets and emails. Things have started to break leading to investment write-offs, fines, penalties, and sometimes lost LP relationships. \r\n\r\nOur agents can run these operations (borrowing base calcs, cracking loan tapes, NAV calculations, etc.) end to end autonomously. For one of our customers, our agents cut a 20-hour ops process to 30 minutes. It saved 90% of the manual hours, translating to $150k in annual savings.", "one_liner": "Agents that run middle/back-office operations for Private Capital", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1790147820, "tags": [ "FinOps", "Enterprise" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/elimentary", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/elimentary.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/elimentary0/", "x_url": "https://x.com/elimentary_com", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5345725230878bce19968d49bf36c1acda691f77.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2760758, "full_name": "Yogesh Gorjilla", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Elimentary. Previously with UBS, Goldman Sachs and Flipkart. Built and scaled a Pay Later product to 10 million users and $1 billion in loan book. Extensive experience across Fintech, Credit and Capital Markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yogeshgorjilla/", "x_url": "https://x.com/yogeshgorjilla", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1123dc46fada21a132ee082bac897950e170688f.jpg" }, { "user_id": 2760773, "full_name": "Mannat Saini", "title": "Founder/CTO", "founder_bio": "Co-founder at Elimentary. Previously engineering @ Goldman Sachs, Jefferies, Oracle and Flipkart. Built and scaled multiple credit products to ~20 million users and $1 billion loan book.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mannatsaini/", "x_url": "https://x.com/MannatSaini09", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c8ef7bd04ef6bdb1d92e2f5a9ad8545c78c363e.jpg" }, { "user_id": 3181292, "full_name": "Manoj Sarda", "title": "Founder/COO", "founder_bio": "Founder at Elimentary. Ex-founder at Skit.ai - voice AI automation for debt collection started in 2018. Led product at largest neo-bank of India - Jupiter.Money. IIT grad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manojsarda/", "x_url": "https://x.com/smr_rad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4bb8ed4cfdb409be381c4c3905353c623cbdfce.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35292, "name": "Agent Relay", "slug": "agent-relay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "website": "https://agentrelay.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agent Relay lets software teams' AI coding agents message each other directly, so people stop copy/pasting between Claude Code, Codex, Cursor, and their teammates' agents. A frontend agent can ask the backend agent what an API returns, two agents can sort out a merge conflict between themselves, and your agent can answer a colleague's agent while you sleep.\r\n \r\nAgents connect wherever they run: terminals, desktop apps, phones, laptops, cloud boxes, or a Mac mini across the world. Every session goes into shared, searchable history, so decisions don't get stuck in one person's chat. You can even let a customer's agent debug with yours. Setup takes about 5 minutes: give your agent the link and it installs itself. Use our hosted version free, or self-host the open-source version", "one_liner": "Let your teams' coding agents message each other", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1789747031, "tags": [ "Developer Tools", "Swarm AI", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/agent-relay", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/agent-relay.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agent-relay/", "x_url": "https://x.com/agent_relay", "fb_url": null, "cb_url": null, "github_url": "https://github.com/agentworkforce", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/819b1618d86a223b725a999a980a27a830ef8441.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09214a2b9b81fe3af1dedca8832a9d2af4b4f8ab.png" ], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 50118, "full_name": "Will Washburn", "title": "Founder/CEO", "founder_bio": "Previously built Tailwind, where I spent 14 years scaling a marketing SaaS for small businesses to eight-figure ARR, 50K+ paying customers, 1M+ users, 60+ people, and a Series A. Now building Agent Relay so teams' coding agents can coordinate directly. We run 50+ agents in parallel ourselves.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willwashburn/", "x_url": "https://www.x.com/willwashburn/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efe4cdae0af5c22d84fc43200a16f0065e005482.jpg" }, { "user_id": 50117, "full_name": "Khaliq Gant", "title": "Founder/CTO", "founder_bio": "Previously Founding Engineer at Nango (W23) and Lead Engineer at Overview (W19). Cornell & Columbia grad. Former collegiate basketball player. Was paralyzed from neck down, fought way back to be able to walk again. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/khaliqgant/", "x_url": "https://x.com/khaliqgant", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ffbf3a452a716aa224b41a276d64c2534501ec2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35355, "name": "Invertix", "slug": "invertix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "website": "https://www.invertix.ai", "all_locations": "Munich, BY, Germany", "long_description": "The next constraint is not intelligence, it is the energy and operational cost of running it.\r\nWe deploy custom AI models inside critical infrastructure companies that ingest SCADA data, work orders, human interventions, operational data no public model has seen, grounded in physics-informed neural networks and differentiable simulators. \r\nThis creates a flywheel: more operator data → better process understanding → more efficient operations → cheaper energy → cheaper AI → more deployment → more data. \r\n\r\nhttps://www.youtube.com/watch?v=0uDH6pMn5OE\r\n\r\nAI compute doubles every 2.2 years. Data center demand grows from 415 to 945 TWh by 2030. Without near-zero energy cost, AI remains limited by human infrastructure. We are the layer that runs AI at zero energy cost.\r\nEnergy is a $10 trillion market. The infrastructure layer doesn't exist yet. \r\nWe are building it.", "one_liner": "Energy Superintelligence, AI that operates critical infrastructure", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1789740763, "tags": [ "Solar Power", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "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/invertix", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/invertix.json", "year_founded": 2026, "city": "Munich", "country": "DE", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2332aa776f979c1ef83d3026fd24932b6576eea.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e09c46b000c5ff25f7042e775e76c8f61773eba1.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2057026, "full_name": "Joseph Perrotta", "title": "Founder/CEO", "founder_bio": "CEO at Invertix. Ex pro volleyball player, at 18 sold more than $17M of houses.\nPreviously at Cubbit, where they raised $25M. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-perrottaa", "x_url": "https://x.com/josephperrotta_?s=11", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c94847dab0f5d6b7a96ecfa63944ac1372b58ca.jpg" }, { "user_id": 2234234, "full_name": "Kaan Durmaz", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Invertix. Previously worked in computer vision, differential privacy and ai for chemistry. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kdurmaz/", "x_url": "https://x.com/kdurmazx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c13c2bd6f00b49f60836de5dce5ee88f099e7656.jpg" } ], "jobs": [], "news": [ { "title": "Invertix Labs launch", "url": "https://www.youtube.com/watch?v=0uDH6pMn5OE", "date": "Sep 18, 2026" } ], "launches": [ { "id": 116072, "title": "Invertix: Energy Superintelligence", "tagline": "Building AI agents to operate the world's energy infrastructure and data centers", "body": "Hey YC, we’re Joseph and Kaan.\n\nWe’re building **Energy Superintelligence: swarms of coordinated AI agents to operate energy infrastructure and data centers, carrying out work across entire organizations.**\n\nEnergy is one of the bottlenecks to scaling intelligence. Our vision is agents coordinating humans and other agents to operate, maintain, and build energy infrastructure worldwide, with applications extending to data centers.\n\n\n\n**How we got here**\n\nWe reached out to roughly 5,000 people in energy and had over 400 conversations. The same problem kept appearing: people were manually connecting fragmented data, investigating faults, and coordinating work across departments.\n\n**What we’re building**\n\nOur engineers work inside energy companies to map their data, workflows, responsibilities, and operating procedures. We combine that knowledge with an energy-specific ontology, giving specialized agents a shared understanding of the business and procedures they can follow. We see the same opportunity in data center operations: connecting equipment, maintenance procedures, suppliers, and on-site teams so agents can coordinate real work.\n\nThe system we’re building connects four things:\n\n1. **Onology:** equipment, telemetry, documents, contracts, and people in one connected model.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a14398e1-34a7-4399-a75f-c2ce6eb631c3)\n\n2. **AI Employees:** agents use different tools, correlate evidence across assets, and review each other’s findings. \n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/70610c1d-cc3e-4c13-a96e-38a1acc6777f)\n\n3. **Physical execution:** agents coordinate interventions with humans, incorporate field observations, and verify production recovery.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/7c425af9-22cb-44ec-9da9-dd79ce445a54)\n\n4. **Sofware builder:** We allow technical and non technical builders to build on top of the platform. creating visualizations, agents, ML models, all using the data of the platform and centered intelligence.\n\n ![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/8abcc1a0-1a6d-44cf-8da9-74dbef23944d)\n\n\nOur ambition is coordinated agents at every critical infrastructure company in the world, helping produce more energy and accelerate intelligence.\n\nWe believe **Energy Superintelligence is a necessary step toward ASI.**\n\n**The founding team**\n\n_17th of December 2026 - YC Mountain View_\n\n![uploaded image](/media/?type=post&id=116072&key=user_uploads/2057026/a7dc00e4-7377-4136-8b3e-a57e081e523b)\n\n* **Nicole:** our first hire; black-hole physics, Max Planck research with Nobel laureates, and surgical robotics at Harvard Med.\n* **Menelaos:** led TUM ai E-Lab; Siemens and TUM ML research.\n* **Nicolas:** previously built and raised for his deeptech startup; leads GTM with Joseph.\n* **Simon:** EX JetBrains, leads product and agent systems.\n* **Pietro:** Leads FDE, Early hire at a startup that raised $30M.\n* **Vishisht:** Cambridge & UPenn Research; first hire at an a16z-backed startup.\n\nWe’re deployed Autonomously across **\\~2 GW**, signing two of the largest utilities in the world, with interest from **30+ energy companies**. And are woking with partners that have over **50 GW**\n\n**Our ask:** introductions to operations leaders at utilities, energy asset owners, O&M companies, and data center operators, especially in the US.", "url": "https://www.ycombinator.com/launches/UC8-invertix-energy-superintelligence", "votes": 8, "created_at": "2026-09-28T07:00:00.116Z" } ] }, { "id": 35356, "name": "sintem", "slug": "sintem", "former_names": [ "Sintem", "sintem", "sintem inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/754de4c0d947ee0ffec143a04381c7d7cdcc0667.png", "website": "https://sintem.co", "all_locations": "BY, Germany", "long_description": "Most phones are built to keep you on them. We make an agentic phone that puts an army of agents to work for you. Tell it what you need done, and they handle it across the tools and apps you already use. 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Previously founded droov (Shopify for restaurants), with $3.4M+ GMV and 32K+ users across Germany, Austria, and Belgium. Co-founded an ed-tech SaaS ($1.1M+ ARR). Founded Reinio (Uber for laundry) and sold it to Munich's largest laundromat chain.\n\nTechnical University of Munich (TUM) graduate.\n\nCompeted internationally in Judo: 90+ competitions, about 300 matches.", "is_active": true, "linkedin_url": "https://linkedin.com/in/isausmanov", "x_url": "https://x.com/isausmanov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b985250aeae8faa45c1aac1113f29990c659eed6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35389, "name": "Open Actuation", "slug": "open-actuation", "former_names": [ "Pendulum Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/04bbecc591031b8b78b9a43b4f8c9cd329829f72.png", "website": "https://openactuation.com", "all_locations": "Los Angeles, CA, USA", "long_description": "We design and manufacture high-mix drone motors and robotic actuators in LA.\r\n\r\nDJI, Apple, and Ford don't settle for OTS components. Likewise, the teams that win the Western robotics market will build seamless machines from tightly integrated software and hardware. \r\n\r\nOpen Actuation designs motors and actuators around your robot's unique form factor and mission - then we rapidly bring them to life with proprietary software and tooling geared for high-mix machining and assembly. We've designed and built motors for top drone OEMs and can assemble thousands of motors per month at our first factory in LA.\r\n\r\nWe're doing for motion components what 3D printing has done for structural components. 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To get there, we’re recording brain data at model company scale.", "one_liner": "A consumer brain-computer interface you can map to anything.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1790760468, "tags": [ "Hardware", "Neurotechnology", "Consumer", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/dydema", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/dydema.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dydema", "x_url": "https://x.com/DydemaNeuro", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85eacc9eef1101a2060cf6b9873797fd43445325.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": 2801705, "full_name": "Julian Weaver", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Dydema. We're the model company for neurotech. Prev. founding engineer at Syntra (YC S24). Led EEG/fMRI AI research, dual BS in CS and neuroscience @ age 20, UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-weaver/", "x_url": "https://x.com/real_juliver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72c5843bb2a1b13ad8c4e88550b29be6e3e22009.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35395, "name": "Workers IO", "slug": "workers-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12ec3720a247bad2e5a39d162b68e217ed6b74bd.png", "website": "https://workers.io", "all_locations": "San Francisco, CA, USA", "long_description": "Workers IO is building simulation environments to catch failures in mission-critical software before they reach production. We run your entire system through millions of simulated production scenarios to verify its correctness and performance properties.\r\n\r\nCoding agents can now generate code faster than teams can review it. Meanwhile, software and the infrastructure it runs on keep getting more complex. Tests check a small set of cases in isolation, in environments that are different from production. Some of the most expensive failures only surface when customers encounter them.\r\n\r\nWe run your entire system unmodified and simulate network faults, disk failures, crashes, and clock drift. We build the fault models for you and check your system’s requirements across millions of scenarios. Every failure we find can be perfectly reproduced.", "one_liner": "Simulation environments for verifying mission-critical software", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1787942068, "tags": [ "Developer Tools", "B2B", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/workers-io", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/workers-io.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/workersio", "x_url": "https://x.com/workersio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12ec3720a247bad2e5a39d162b68e217ed6b74bd.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": 3410079, "full_name": "Chaitanya Choudhary", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Workers IO, helping teams build and verify mission-critical systems.\n\nBuilt and sold first company, The Timelinears, at 19 after growing it to 3 million monthly active viewers.\n\nFounding engineer at Grit (Acquired), OnDeck, CW (Acquired) and Research Assistant at Harvard Law School. Advised ICICI Bank and Times on building a reward model for their fintech products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chaitanyya", "x_url": "https://x.com/chaaai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29ed0f9255cfb914fff0a4ce79f6f8c0c1224267.jpg" } ], "jobs": [ { "id": 109294, "title": "Systems Engineer, Hypervisor and Kernel", "url": "https://www.ycombinator.com/companies/workers-io/jobs/UV8iE3b-systems-engineer-hypervisor-and-kernel", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$80K - $250K", "equity_range": "0.50% - 4.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "C", "Rust", "Linux", "Software Architecture" ] } ], "news": [], "launches": [] }, { "id": 35396, "name": "Oasive", "slug": "oasive", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png", "website": "https://www.oasive.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Oasive helps bond investors figure out which bonds are rich or cheap, and why. We give portfolio managers, traders, analysts and investment advisers a team of AI analysts, combining fixed income research, proprietary quantitative models and scenario analysis to move from trade idea to decision in minutes. Our focus is Macro and Rates Research and MBS, with munis, ABS and corporates next.", "one_liner": "Helping bond investors find what's rich or cheap, and why", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1789659235, "tags": [ "FinOps", "Fintech", "Investments" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/oasive", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/oasive.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oasive", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc57ec29fb0414ace78c3d3c1e5d7acfef9c0c5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 2395902, "full_name": "Anaïs Howland", "title": "Founder/CEO", "founder_bio": "Founder of Oasive, helping bond investors figure out which bonds are rich or cheap, and why. I worked on Wells Fargo's $350B MBS portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio before leading product strategy across Google's consumer AI products. I'm building the fixed income platform I wished I'd had on the desk.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anaishowland/", "x_url": "https://x.com/AnaisHowland18", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/729c1dab7d8a8a9375913ba8278cc998e0e56fda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 116240, "title": "Oasive: Find better bonds to buy", "tagline": "See which bonds are rich or cheap and decide what to buy", "body": "**TL;DR: [Oasive](http://www.oasive.ai)** **helps bond investors find better bonds to buy. Compare investments and test trade ideas in minutes with proprietary models and a team of AI analysts.**\n\n\n\nHi, I'm Anaïs, founder of [Oasive](http://www.oasive.ai). I worked on Wells Fargo's $350B mortgage-backed securities (MBS) portfolio, then as a portfolio manager on Google Treasury's $17B MBS/ABS portfolio, before leading product strategy across Google's consumer AI products.\n\nI'm building [Oasive](http://www.oasive.ai) to help more fixed income investors find value and act on it.\n\n**The problem**\n\nFinding an attractive trade is only the start. Is it really cheap, what could change that, and does it improve the portfolio? Answering those questions means going back and forth between research, market data, models and spreadsheets.\n\n**What we built**\n\n[Oasive](http://www.oasive.ai) helps you uncover opportunities you might otherwise miss, compare investments and test the risks before putting on a trade. Macro and Rates Research and our MBS Platform are live today:\n\n* **Macro and Rates Research:** Which Treasury maturities look cheap, and is there a curve trade worth putting on? Use our proprietary valuation models to compare maturities, curve trades and butterflies. Check how many Fed cuts are priced in, dig into market moves and economic releases, and keep exploring with unlimited chats and follow-ups.\n* **MBS Platform:** Which MBS pools look attractive, and why? Use proprietary prepayment models and collateral analysis to spot relative value and test investment ideas. If rates fall 1%, what happens to your portfolio? Change rate and prepayment assumptions to see the impact on spreads, duration and value across your holdings.\n\n_Municipals, ABS, and corporates are next._\n\n[Oasive](http://www.oasive.ai) is already used across 15+ institutional desks at global banks, asset managers with $100B+ in AUM, and Fortune 500 treasury teams.\n\n**Try it**\n\nStart your Macro and Rates Research free trial or request an MBS demo at — free and paid plans available.\n\n**Our ask**\n\nKnow portfolio managers, traders or analysts on fixed-income desks? I’d love an introduction. Email [anais@oasive.ai](mailto:anais@oasive.ai)\n\n![uploaded image](/media/?type=post&id=116240&key=user_uploads/2395902/0db02b4c-6fd1-4d3d-b1cc-6c6df9dce469)\n\n", "url": "https://www.ycombinator.com/launches/UEq-oasive-find-better-bonds-to-buy", "votes": 18, "created_at": "2026-09-23T20:00:00.098Z" } ] }, { "id": 35397, "name": "Quivly AI", "slug": "quivly-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9dd1fbd0b76e538f581f702ad2deb68c3eca171.png", "website": "https://www.quivly.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Quivly is the agentic workspace for everything after the sale. Our agents turn kickoff calls into launch plans, chase blockers, catch risk and expansion signals, and have the full account story ready at renewal. With Quivly, companies are able to take their customers live in 7 days instead of 30, and then grow revenue from these customers by 4.3x on avg.", "one_liner": "AI agents that run onboarding, adoption, and renewals", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1791438593, "tags": [ "SaaS", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/quivly-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/quivly-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/quivly/", "x_url": "https://x.com/quivlyai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9dd1fbd0b76e538f581f702ad2deb68c3eca171.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5ef27d729c55d59632c37736530be394c564ca40.png" ], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 1833192, "full_name": "Chandrika Maheshwari", "title": "Founder/CEO", "founder_bio": "Co-founder/CEO at Quivly AI. Previously founded Pull, a fintech company with a payroll-linked lending product. Ex-Plaid, Docusign, Google, Bain & Co. and MIT grad", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chandrikamaheshwari/", "x_url": "https://x.com/Chandrika633", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b79d37f1db9bc0c6d8f8de68cbef41f2afc2c7f.jpg" }, { "user_id": 78328, "full_name": "Tanay Agrawal", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Quivly AI. Previously founding PM at Atlan, scaling 0→$2M ARR and 200 enterprise customers across 50 countries. Earlier founding engineer at Atlan, solo-built a data collection app to 200K downloads and 30K DAU in 6 weeks. Led pricing and billing infrastructure at JP Morgan Payments supporting $2B annual volume. MS Product Management from Carnegie Mellon, BS CS from Manipal.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanayagrawal19/", "x_url": "https://x.com/tanayagrawal19", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/153895247ab65b17900140be2124d44746497a61.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120590, "title": "Quivly: AI agents that run everything after the sale, from onboarding to renewal", "tagline": "Get your customers live in 7 days instead of 30, then expand them by 4.3x", "body": "Hi YC, we're [Chandrika](https://www.linkedin.com/in/chandrikamaheshwari/) and [Tanay](https://www.linkedin.com/in/tanayagrawal19/), co-founders of Quivly.\n\n**TL;DR: Quivly is the AI workforce for everything after the sale, especially for companies with usage-based pricing.** Our agents turn kickoff calls into launch plans, chase blockers, catch risk and expansion signals, and have the full account story ready at renewal. \n\nWith Quivly, companies are able to take their customers live in 7 days instead of 30, and then grow revenue from these customers by 4.3x on avg.\n\n\n\nEveryone rings the gong when the deal closes. But that's when the real work starts. The work after the sale is scattered across Slack threads, spreadsheets, calls, tickets, and someone's memory. Quivly brings it together and turns it into outcomes.\n\n**One account, one year with Quivly**\n\nAs one customer put it: “Traditional customer success tools were all built for seat-based SaaS. Quivly is the first post-sales platform we found that’s actually designed for consumption pricing.”\n\n**Day 1: Onboarding**. The kickoff call ends and Quivly has already turned it into a plan, shared with the customer in their own portal. If something blocks launch, like an SSO config, the agent follows up with the right person. With Quivly, our customers have reduced their time to value by 77%, going from live in 30 days to live in 7.\n\n**Month 4: Risk**. Usage starts to slip, and a support ticket is sitting in another tool. Quivly connects the dots before your CSM has to, and the walkthrough is already booked.\n\n**Month 9: Expansion**. The customer acquires another company. Quivly catches the news, ties it to the account, and flags the expansion opportunity to your account manager.\n\n**Month 12: Renewal**. No piecing together the story. What shipped, what changed, where Quivly stepped in, and where the customer can grow next is all in one place.\n\nUse Quivly in the app, in Slack, or through our MCP.\n\nMCP:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/8f70eefa-486a-4a91-b0fe-1d648a270a9c)\n\nSlack:\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/53a10622-290a-471f-af35-c43d0087abb8)\n\n**Traction**\n\n\\- Our customers include companies like Siftly (W22), Octolane (W24), Hyperspell (F25); We manage over 10,000 accounts our customers \n\n\\- 77% faster time to value (30 → 7 days)\n\n\\- 4.3x average revenue expansion with Quivly\n\n\\- 8 hours saved per FDE per week \n\n**Team**\n\n**Chandrika Maheshwari (CEO)**: 2x founder (previously founded Pull, payroll-linked lending). \\~15 years at Plaid, Docusign, Google, and Bain, where she built internal tools to fix fragmented customer data. MIT grad.\n\n**Tanay Agrawal (CTO):** Founding PM at Atlan, scaling it 0 to $2M ARR and 200 enterprise customers in 50 countries. Solo-built an app to 200K downloads in 6 weeks. Led pricing and billing infra at JPMorgan Payments ($2B annual volume). CMU grad.\n\n![uploaded image](/media/?type=post&id=120590&key=user_uploads/1833192/156a8e33-4d11-41f0-9b22-b260975234b3)\n\n**Our ask:**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n\\- Are you a B2B founder with enough customers that you’re starting to lose track of them?\n\n\\- Are you an FDE, CSM or Account Manager at a B2B SaaS or AI company?\n\n\\- Do you know Heads of FDE or CS at B2B SaaS or AI companies?\n\nPlease book time with us. We’ll map your first year after the sale: [cal.com/chandrika/30min](http://cal.com/chandrika/30min)\n\nor reach us at [chandrika@quivly.ai](mailto:chandrika@quivly.ai)\n\nYour help can make a huge difference. Thank you!", "url": "https://www.ycombinator.com/launches/VN0-quivly-ai-agents-that-run-everything-after-the-sale-from-onboarding-to-renewal", "votes": 48, "created_at": "2026-10-08T19:34:00.127Z" } ] }, { "id": 35422, "name": "Praxis", "slug": "praxis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aac3b9688bfcfe828ca1449c50d9d85d7e55ad89.png", "website": "https://runpraxis.ai", "all_locations": "San Francisco, CA, USA", "long_description": "At Praxis, we’ve built AI agents that run law firm operations, from first inquiry to paid invoice. Agents do the admin end to end, and the lawyer supervises and approves every step. Firms reply in minutes, onboard clients in days instead of weeks, and spend their time practicing law.\r\n\r\nLawyers spend 62% of their day on admin nobody pays for: intake, conflict checks, chasing documents, engagement letters, follow-ups, billing. Every hour on admin is an hour a client waits, and clients go to the firm that answers first. One law firm owner shared: “Every month we lose 3-5 clients, $10k each, because we’re 3 paralegals to handle the process, it’s too slow.”\r\n\r\nWe’re live with law firms across the US.", "one_liner": "AI agents that run law firm operations.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1792015189, "tags": [ "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/praxis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/praxis.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runpraxis/", "x_url": "https://x.com/runpraxis", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aac3b9688bfcfe828ca1449c50d9d85d7e55ad89.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d0cdfd40eb2852393a040ce80a4ee3e6dbedea22.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1081032, "full_name": "Diana Khramina", "title": "Founder/CEO", "founder_bio": "Founder at Praxis. Previously GTM Lead of AI Agent at Gorgias, scaling from 0 to 1,000+ paying customers and $8M ARR in under 1 year. Before that, Chief of Staff to the CEO at Gorgias and Senior Consultant at McKinsey & Company. Started career in M&A and Private Equity at Edmond de Rothschild and ISAI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/diana-khramina/", "x_url": "https://x.com/KhraminaDianka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d96d7e2b7bfeb19c00836c5e0f39242f026764e0.jpg" }, { "user_id": 2657898, "full_name": "Maxence Guegnolle--Santi", "title": "Founder/CTO", "founder_bio": "Founder at Praxis. Previously AI Engineer at SightCall building multimodal knowledge platforms and video analysis pipelines. Data Engineer at BlaBlaCar, Uber and iOS developer at NextDNS. Studied CS at Ecole 42 & Stony Brook.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mguegnol", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0719136e19552a321bd45160e11f7909a15584f5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122246, "title": "Praxis: AI agents that run law firm operations, from first inquiry to paid invoice", "tagline": "Agents do the work, the lawyer approves every step, and clients get served first.", "body": "Hi, we’re [Maxence](https://www.linkedin.com/in/mguegnol/) and [Diana](https://www.linkedin.com/in/diana-khramina/), co-founders of [Praxis](https://runpraxis.ai/).\n\n**TL;DR: At Praxis, we’ve built agents that run law firm admin tasks end to end. Agents do the work, and the lawyer supervises and approves every step. Firms reply in minutes, onboard clients in days instead of weeks, and spend their time practicing law.**\\\n\\\n[https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view](https://drive.google.com/file/d/1lxtcy55l5t2dvd82J1_px194DW-Y6RXl/view?usp=drive_link)\n\n\\\n**Why we built Praxis**\n\nLaw firms spend 62% of their time on admin tasks they don’t bill. Client data lives in tools that don’t talk to each other, and legal assistants copy data from one system to another and chase documents by email for weeks. To keep up, law firms hire more assistants.\n\nThis is how costs grow with every new client, and the firm still moves slowly. Replies slow down, follow-ups slip, and clients go to the law firm that serves them first. One firm told us it loses at least $350k a year in clients this way.\n\n**Product**\n\nAt [Praxis](https://runpraxis.ai/), we’ve built AI agents that run law firm operations, from first inquiry to paid invoice. Agents do the admin end to end, and the lawyer supervises and approves every step.\\\n\\\nHere’s how it works:\n\n* **Win:** every inquiry answered in minutes, qualified against your rules and conflict-checked, with the engagement letter drafted for your approval.\n* **Onboard:** client data and documents collected and verified at upload. Missing or outdated ones are chased automatically, so work starts in days, not weeks.\n* **Run:** tasks tracked, clients and counterparties chased for the next step, and the client follows progress live in their portal.\n* **Get paid:** invoices are sent, tracked and chased until paid.\n\nFirms reply faster, stop paying people to copy-paste, and spend their time practicing law.\\\n\\\n➡️ **Sign up to get early access to Praxis today at [runpraxis.ai/waitlist](https://runpraxis.ai/waitlist).**\n\n\\\n**Market & timing**\n\nLegal is a \\~$1T services market that's still only 4% software. Every knowledge industry we've digitized flipped that ratio. Legal hasn't yet.\n\nThe first AI wave (Harvey, Legora) created huge market excitement around AI for law firms, but they went after the legal work at large firms: contract review and drafting. Client operations at small and mid-sized firms remain underserved and incumbents like Clio or 8am struggle to become fully AI-native.\n\n**About Us**\n\nWe’re a team of builders who’ve scaled fast-growing startups and worked hands-on with law firms. We believe lawyers shouldn’t be buried in low-value work. They should make the judgment calls, while clients feel every bit of the speed. 💨\n\n**— [Diana](https://www.linkedin.com/in/diana-khramina/), CEO.** Scaled Gorgias's AI Agent from 0 to 1,000+ paying customers in under a year, and worked with law firms at McKinsey.\n\n**— [Maxence](https://www.linkedin.com/in/mguegnol/), CTO.** AI & Data Engineer at Uber and BlaBlaCar, companies serving 100+ million people and he comes from a family of lawyers.\n\n![uploaded image](/media/?type=post&id=122246&key=user_uploads/1081032/d806f71c-3888-429e-b484-22c466c8448b)\n\n", "url": "https://www.ycombinator.com/launches/Vni-praxis-ai-agents-that-run-law-firm-operations-from-first-inquiry-to-paid-invoice", "votes": 8, "created_at": "2026-10-15T16:00:00.155Z" } ] }, { "id": 35454, "name": "Shepherd Robotics", "slug": "shepherd-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "website": "https://shepherdrobotics.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shepherd Robotics builds general purpose robots for skilled physical work across AI infrastructure and advanced manufacturing. Our robots are powered by robot foundation models and use modular, flexible hardware designed to adapt to different environments and tasks. We train our systems on a combination of real world and simulation data so they can learn complex manipulation skills and generalize across workflows. We also provide integration into customers’ existing workflows, starting with data center construction and operations, electrical manufacturing and testing, and electronics manufacturing, where traditional automation struggles with variability, dexterity, and changing environments. ", "one_liner": "Robots for high skilled labor powering AI infrastructure", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789000982, "tags": [ "Hardware", "Robotics", "Manufacturing", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/shepherd-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/shepherd-robotics.json", "year_founded": 2026, "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/aeedcbe594abc3d35bb21642c507ec105a0f502a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 987072, "full_name": "Feifei Duan", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO at Shepherd Robotics. Ex-Waymo and Chef Robotics engineer.\nTrained large transformer models at Waymo and deployed robots into large food factories at Chef Robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/feifei-duan-607255125", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e18794d104befc26ce95ece503c146710f1faed3.jpg" }, { "user_id": 778599, "full_name": "David Fang", "title": "Founder/CTO", "founder_bio": "David Fang is co-founder and CTO of Shepherd Robotics. Previously, he was a Research Scientist at Dyna Robotics working on large-scale robot learning, and building ML systems for autonomous driving at Cruise.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/da-fang-8273b7116/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ec6f51146461b14b10ea90c0da6865162e995e2.jpg" }, { "user_id": 2562853, "full_name": "Kai Ru", "title": "Founder", "founder_bio": "Founder at Shepherd Robotics. x Cruise & Rivian self driving cars, planning, research, foundational models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pengkai-r-07086633/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/223c45b3097c524878bc0283aafac05c2146b6d9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35455, "name": "Deploy", "slug": "deploy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "website": "https://deployrobotics.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Deploy's core belief is that robots should be useful. Getting a generalist robot to do real work is fundamentally the same problem across industries. We build everything between the model and the task to bring generalist robots to the businesses that actually need them.", "one_liner": "The generalist robot deployment company.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1789089952, "tags": [ "Robotics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/deploy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/deploy.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deployrobotics", "x_url": "https://x.com/deployrobo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d01c6f3a4b9cb73c5468cd6441f7c93909edb6a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 3593535, "full_name": "Sahith Reddy Chada", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Research Engineer at Honda Research Institute building vision-language-action models and world models for robotics and autonomous vehicles. MS Robotics from UMn, BTech Aerospace Engineering from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahith-reddy-chada", "x_url": "https://x.com/sahithchada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7420ef4a0d182dfb06daee92dc8e49c3fa294297.jpg" }, { "user_id": 3445935, "full_name": "Irene Grace Karot Polson", "title": "Founder", "founder_bio": "Deploying generalist robots at Deploy. Previously Autonomy Engineer at AeroVect, deploying self-driving vehicles at airports, flight data at Airbus. MS Robotics from UPenn, BS Aerospace from IIT Kanpur.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/irene-grace-karot-polson/", "x_url": "https://x.com/irenekarrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d0cff2b295376185f768d9e81a3e11d369263c8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121648, "title": "Deploy - The Generalist Robot Deployment Company", "tagline": "We turn generalist robots into a reliable workforce. ", "body": "Hello world, we’re [Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) & [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/), co-founders of [Deploy](https://deployrobotics.co/)!\\\n\\\n**TL;DR:** Deploy puts generalist robots, aka humanoid arms, to work in real businesses as a service. You pay for the work getting done (packing, kitting, returns, manufacturing, data center maintenance), not the robot.\n\n\n\n**Problem:** \\\nThe world was full of physical tasks no technology could automate till now. Generalist robot models can finally handle the messy, variable work that traditional automation never could: mixed orders, returns, tasks that change every day.\n\nBut a capable model isn't the same as a robot reliably doing the job on your floor. Most robotics projects stall in the gap between a good demo and a shift that runs 24/7. \n\n**Solution:** \\\nDeploy closes that gap. We’re the generalist robot deployment company. We turn generalist robots into reliable workers, and our customers pay for completed work, not the robot.\n\n**How it works:** \\\n→ We break each new task into a sequence of steps and track progress in real time\\\n→ The system knows what's done, what's next, and when a robot needs help\\\n→ Every human intervention becomes training data, so the robots get better the longer they run\n\n**The backstory**\\\n[Irene](https://www.linkedin.com/in/irene-grace-karot-polson/) and [Sahith](https://www.linkedin.com/in/sahith-reddy-chada/) have been building robots for over a decade, from opposite ends of the stack. Sahith built robot models at Honda Research Institute. Irene deployed autonomous vehicles in safety-critical airport environments. We kept hitting the same wall: deployment. Deploying across different robots and different models is fundamentally the same problem. If it’s one problem, one platform can solve it. So we’re building Deploy.\n\n![uploaded image](/media/?type=post&id=121648&key=user_uploads/3445935/cd171680-2427-4c8f-80fc-ceb223d46485)\n\n**Ask:** \\\nCan you introduce us to 3PLs, brands, warehouses or distribution centers that could benefit from rolling out robotics as a workforce? Reach us at [founders@deployrobotics.co](mailto:founders@deployrobotics.co) or [deployrobotics.co](http://deployrobotics.co).", "url": "https://www.ycombinator.com/launches/Ve4-deploy-the-generalist-robot-deployment-company", "votes": 7, "created_at": "2026-10-14T14:30:00.140Z" } ] }, { "id": 35487, "name": "Streamline Systems", "slug": "streamline-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/989b85da2420d6592fdbd561cfe2e0802ebf6933.png", "website": "https://streamlinesystems.ltd/", "all_locations": "San Francisco, CA, USA", "long_description": "Streamline Systems is building the replacement for GPS. \r\n\r\nSatellite positioning has become the single point of failure for almost every modern system, both military and civil. We've built the replacement. A drop-in module that integrates with existing Ardupilot, INAV and PX4 flight controllers, with demonstrated satellite-independent autonomous flight and GPS handoff. We're currently working with commercial and military end users to deploy the capability.", "one_liner": "Precision navigation for UAVs operating without GPS. ", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1789759565, "tags": [ "Autonomous Delivery", "Drones", "Navigation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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": null, "url": "https://www.ycombinator.com/companies/streamline-systems", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/streamline-systems.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/143895601", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/989b85da2420d6592fdbd561cfe2e0802ebf6933.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 2263217, "full_name": "Gabriel Poraj", "title": "Founder/CEO", "founder_bio": "Founder at Streamline Systems. Previously Senior Software Developer at Torus, a p2p protocol for AI agent swarms. Founded a content agency that scaled faceless creators to billions of views across 10 languages using custom Premiere Pro automation. 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What neither of them contains is force. A video of someone picking up an egg and a video of someone picking up a rock are nearly identical in pixel space and nearly identical in joint angles. They differ almost entirely in a quantity nobody is recording. Policies trained without it learn geometry and inherit no sense of touch.\r\n\r\nHemlock closes that gap at the source. Our device, the Bracelet, is a wrist-worn surface EMG band that reads the electrical activity of the forearm muscles that actually drive the hand, which means it recovers contraction force directly rather than inferring it from motion. This distinction is the whole thesis: force cannot be reconstructed downstream of kinematics, because a hand squeezing hard isometrically and a hand resting can occupy the identical pose. 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By allowing AI models to control the satellite using deterministic tooling, we are able to achieve the same holistic, high-quality decisions on \"what\" to do to carry out a mission while maintaining the safety of systems that decide \"how\" to execute it. 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Unlike traditional people databases built around static records, Ploid combines its massive people index with real-time retrieval and identity resolution, delivering fresh, reliable information whenever it's needed. From sales and recruiting to customer intelligence, trust and safety, and AI agents, Ploid replaces fragmented data providers with a single infrastructure layer.\r\n\r\n2B+ people. One API. 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Before Ploid, Manny was the youngest engineer at Wander, where he worked on AI/ML recommendations, and he did LLM research at NYU. He grew up in the Chicago suburbs, and has lived in New York, Shanghai, and San Francisco. He also writes about the philosophy of AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mannymarciano/", "x_url": "https://x.com/m9rcn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ce7725b2937be06df53b3043fd9bc2b53bbc881.jpg" }, { "user_id": 3200378, "full_name": "Kamran Karic", "title": "Founder/COO", "founder_bio": "Kamran did STEM Olympiad in Germany, selected as one of the top scorers out of 1,000+ students nationwide, and won two gold medals (math and science) against 5,000+ competitors. Received the City of Sarajevo's April 6th Youth Award. Previously did neuroscience research at Tsinghua University. 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PhD in Physics from Brown, where he invented novel algorithms to discover phase transitions in random-field Ising models, in addition to using micro and nanofluidics to study analogous system experimentally. Research experience at NASA JPL and CERN/LHC. Trained in nanofabrication, microfluidics, and ML methods including PINNs and reinforcement learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owen-tower-270630133?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "https://x.com/owentower1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/70a067e2bb7ef406f9c749791c05d5312086e47e.jpg" }, { "user_id": 3083156, "full_name": "Cooper Niu", "title": "Founder/CTO", "founder_bio": "PhD in Physics from Brown University. Created ALBERT, an autonomous AI particle physicist that proposes, verifies, and iteratively refines physics theories; given pre-1990 data, it recovered the top quark's mass and properties in under an hour. Previously researched neutrinos at Fermilab on the NOvA experiment. Featured in APS Physics Magazine: https://physics.aps.org/articles/v19/119", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cooper-niu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ff31e1e94545e82247fe8f4a13b65e32eceda53.jpg" }, { "user_id": 2759626, "full_name": "Benedict Quartey", "title": "Founder", "founder_bio": "Founder at Primordiant. PhD in Computer Science from Brown University, where I invented novel methods for building generally capable, verifiable robots and spatial world models. Previously developed AI systems that combined learning, reasoning, and planning for reliable long-horizon autonomy at the Boston Dynamics Robotics & AI Institute.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benedictquartey", "x_url": "https://x.com/Benedict_Q", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1b9e290e4926a87fa1477ca9d2d8d77e235d399.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35685, "name": "Obia", "slug": "obia", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d934a569ca7e9c9f8cd404a1de2cd48f7e9510e.png", "website": "https://obia.io/", "all_locations": "San Francisco, CA, USA", "long_description": "OBIA is an AI-native commercial real estate brokerage for industrial and office. We help businesses find their best-fit space, negotiate a competitive deal backed by market data, and get the keys in as little as two weeks.\r\n\r\nFinding the right space means evaluating operational fit, zoning, and pricing using information scattered across listings, brochures, municipal codes, maps, and broker conversations. That research can take a broker hours per property. OBIA reduces that work to minutes.\r\n\r\nWe started with industrial and office properties in California, with plans to expand nationally and into other asset classes. Our goal is to make thorough, responsive commercial real estate representation available to every business.", "one_liner": "AI-native commercial real estate brokerage", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1792101173, "tags": [ "Real Estate", "B2B", "Proptech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/obia", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/obia.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/obia-cre/", "x_url": "https://x.com/obia_cre", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2d934a569ca7e9c9f8cd404a1de2cd48f7e9510e.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": 2939014, "full_name": "Samuel Cho", "title": "Founder/CTO", "founder_bio": "Co-Founder at Obia (YC F26). Ex-Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuelmcho/", "x_url": "https://x.com/SamuelMCho", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39cb47471fec9439f577fd826259c1386e15143e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35751, "name": "Rystic", "slug": "rystic", "former_names": [ "Rystic, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfa5e505d77a3f64c4f5ed8941cc14f8318a3a34.png", "website": "https://rystic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Train models and test agents in high-fidelity simulated environments", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1790916343, "tags": [ "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/rystic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/rystic.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rystic/", "x_url": "https://x.com/RysticAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bfa5e505d77a3f64c4f5ed8941cc14f8318a3a34.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [], "jobs": [], "news": [], "launches": [] }, { "id": 35784, "name": "Vorelios", "slug": "vorelios", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/511019d13a19f348d6a7c3fc8a084d6b838d2243.png", "website": "https://vorelios.com", "all_locations": "San Francisco, CA, USA", "long_description": "Engineering is bottlenecked by slow, costly simulations. We're fixing that by building foundation models that learn physics end-to-end and deliver the same results in seconds, at a fraction of the cost.", "one_liner": "A foundation model for engineering physics", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1786417769, "tags": [ "Hard Tech", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/vorelios", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/vorelios.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/vorelios/", "x_url": "https://x.com/vorelios", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Vorelios", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/511019d13a19f348d6a7c3fc8a084d6b838d2243.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": 3436435, "full_name": "Daniel McNeil", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Vorelios, 19", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-t-mcneil/", "x_url": "https://x.com/danielmcneil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a92d929211b36b88d6c35a868b3899d8cd34e03.jpg" }, { "user_id": 3674969, "full_name": "Krish Kapadia", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Vorelios, 19", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krish-r-kapadia/", "x_url": "https://x.com/krish_k07", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43ed1c90aace7dbdeb6ce18434b60c07cc5faab8.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 35850, "name": "Dreamscale Labs", "slug": "dreamscale-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a0eb88901e7f46ec71cc8739e8069f4815b0a52.png", "website": "https://dreamscalelabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Dreamscale Labs is building the fastest cloud inference platform for robotics. As complex physical AI models become difficult to fit on expensive on-robot GPUs, we let users offload inference to the cloud and serve them with real-time latency. So far, we've hit 40-50% lower latency than existing neoclouds.\r\n", "one_liner": "Real-time cloud inference for robotics.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1788577910, "tags": [ "Robotics", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/dreamscale-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/dreamscale-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dreamscalelabs", "x_url": "https://x.com/dreamscalelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5a0eb88901e7f46ec71cc8739e8069f4815b0a52.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 3499827, "full_name": "Eric Ren", "title": "Founder/CEO", "founder_bio": "Co-founder @ Dreamscale Labs : realtime cloud inference for robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/e-ren", "x_url": "https://x.com/eternaI_entropy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c5f556cfa846dddb7160f7706bb48cde404f1d53.jpg" }, { "user_id": 3612640, "full_name": "Kevin Lin", "title": "Founder/Chief Scientist", "founder_bio": "Co-founder & Chief Scientist at Dreamscale Labs (YC F26). 2x IChO silvers. Former quant turned roboticist.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevin-lin-760945225", "x_url": "https://x.com/KDog112358", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cb1cdd011a18c5f4a990d27be41f778083f05fe.jpg" }, { "user_id": 1446496, "full_name": "Antoine Nguyen", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Dreamscale Labs (YC F26). Previously VLA quantization researcher at UTS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antoine-n-633b84200", "x_url": "https://x.com/AntoineNeedGPUs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65178e94b80417e23e068039b7c0d6457cd4bca5.jpg" }, { "user_id": 2226354, "full_name": "Chris Yoo", "title": "Founder/CPO", "founder_bio": "Co-founder & CPO at Dreamscale Labs (YC F26). 15x hackathon winner. Youngest CCNA at 13yo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chris-yoo", "x_url": "https://x.com/pentestduck", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1bd23643f138ca967c39ecdfe173e5347a12513.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115448, "title": "Dreamscale Labs: Running robot brains in the cloud", "tagline": "The fastest cloud inference platform for robotics.", "body": "**TL;DR: We're 40-50% faster than existing cloud providers in serving frontier robot AI models, e.g. DreamZero, MolmoAct2.**\n\n\n\n\\[1x speed, autonomous\\]\n\nDSL is building the fastest cloud inference platform for robotics. We let you deploy physical AI without needing expensive local GPUs.\n\nRobot foundation models are growing more and more computationally expensive. The latest frontier of robotics no longer fits feasibly on local GPUs. Compute costs keep soaring amidst a global LPDDR shortage; NVIDIA just doubled the prices of Jetsons in July.\n\n**We're taking a contrarian bet that the future is moving inference _off the robot_ and _into the cloud._**\n\n![uploaded image](/media/?type=post&id=115448&key=user_uploads/3499827/4ca20fc9-00a8-4043-bc43-d51b8b5d0cbf)\n\nHow do we do this? We work across the full stack of robot inference to push latency down:\n\n* Model-level architectural adjustments for faster inference\n* Kernel-level optimizations to maximally leverage server-grade GPUs\n* Network-level optimizations for fast and reliable transport over the cloud\n* Region-specific compute allocation to ensure the shortest physical distance between the servers and our customers' robots\n\nThese optimizations enable us to be **8% faster** than NVIDIA's implementation **at half the GPU count** (320ms vs 350ms, for DreamZero 14B).\n\n![uploaded image](/media/?type=post&id=115448&key=user_uploads/3499827/69393040-ca17-41cd-a1fb-cd5d70176921)\n\nFurthermore, something we noticed for robotics companies with fast R&D cycles was that their GPUs had long idle periods with concentrated bursts of inference traffic. We're one of the first companies in the world to offer on-demand pricing for physical AI inference, giving users more flexibility with the cost.\n\nWe're already working closely with a range of early partners across deployment, research and evaluation. In full FDE spirit, we collaborate with our customers to custom-fit inference stacks that address their unique deployment challenges. We help you get your robot AI to deployment faster.\n\nOur mission is to democratize access to frontier physical intelligence, and we believe cloud is the way forward. You can read our thesis here:\n\n•⁠ ⁠\n\n\\\n**Our ask:** Reach out at [founders@dreamscalelabs.com](mailto:founders@dreamscalelabs.com) !", "url": "https://www.ycombinator.com/launches/U24-dreamscale-labs-running-robot-brains-in-the-cloud", "votes": 52, "created_at": "2026-09-17T23:00:00.159Z" } ] }, { "id": 35883, "name": "Halmos Labs", "slug": "halmos-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/093fdc6d2122e7140cab391f450941fd3922b145.png", "website": "https://halmoslabs.com/", "all_locations": "Lund, Skåne County, Sweden", "long_description": "Halmos Labs builds automated biotech R&D on the principles of validity and interpretabillity. We run research, and simulations answering open questions ranging from wetlab experiment design to full cancer vaccine manufacturing.", "one_liner": "Maximum information per experiment, minimum experiments per conclusion", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Industrial Bio", "launched_at": 1788773241, "tags": [ "AI-powered Drug Discovery", "Swarm AI", "Biotech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Industrial Bio" ], "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/halmos-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/halmos-labs.json", "year_founded": 2026, "city": "Lund", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/144861296", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/093fdc6d2122e7140cab391f450941fd3922b145.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 3682661, "full_name": "Mattias Akke", "title": "Founder/CEO", "founder_bio": "Founder at Halmos Labs. Previously ML research intern at MIT (Gómez-Bombarelli's lab) and AstraZeneca, developing frontier models for drug discovery. Published at NeurIPS on Bayesian optimization with LLMs. Research intern at Cambridge in Tuomas Knowles' group studying protein misfolding diseases. Chaired Kodsport Sverige, Sweden's largest competitive programming organization.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mattias-akke-40a83219a", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e01b9b8a380ee646dee214cd9e121e4c7102388a.jpg" }, { "user_id": 3654952, "full_name": "Linus von Ekensteen Löfgren", "title": "Founder/CTO", "founder_bio": "Founder at Halmos Labs. Previously Desk Quant at Danske Bank, building pricing algorithms and risk models across all asset classes. Conducted LLM security research at AI Sweden and quantum computing research at Chalmers. MS Engineering Physics and BA Economics from Lund University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linusvonekensteen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17a47ee26b59bf606fe75eb4b38cf5062197f685.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117722, "title": "Halmos Labs; intelligent experiment design", "tagline": "Halmos designs experiments for biotech teams", "body": "Halmos enables biotech teams to get more out of every experiment. It reads the literature, runs simulations, and selects or trains models to optimize every step — so you extract more information across discovery, process development, scale-up, and manufacturing.\\\n\\\n\n\\\n**The problem**\\\nExperiments are slow, expensive, and most of the information they could yield is wasted. Teams run tedious trial-and-error or exhaustive screens, burning months of lab time and budget to reach conclusions better experimental design would have reached far sooner. The pharmaceutical industry alone performed **$126B of U.S. R&D in 2023**.\\\n\\\n**How it works**\\\nHalmos runs unbounded research by coordinating hundreds of AI agents, checks the logical consistency of their reasoning, and revisits arguments that fail validation before presenting conclusions to your team.\\\nZero installations, no data engineering, and no need for your own statistics team.\\\n\\\n**Tested in industry:**\n\n* **Bioprocessing:** In a collaboration, Halmos matched the best performance from a company's wet-lab campaign in an average of **30% fewer evaluations** across repeated simulations. Halmos repeatedly recommended testing beyond the permitted range; when the experimentalists eventually explored it, performance improved further.\n* **Food-tech fermentation:** For a company two months into fermentation optimization, Halmos simulated the organism's metabolism and identified a nutrient variable missing from the experimental plan. The team confirmed the finding and replanned its next month of experiments.\n\n\\\n**Towards increasingly large R&D tasks**\\\nWe start by designing experiments. From there we take on increasingly large R&D tasks until we can run full end-to-end programs for biotech teams at a fraction of the cost of a consultant — enabling new discoveries in less well funded industries like food, rare diseases, biomaterials, and agriculture. \\\n\\\n**Team**\n\n* **Mattias Akke (CEO)** researched LLM-driven Bayesian optimization at MIT, built drug-discovery models at AstraZeneca, and conducted Alzheimer's research at Cambridge.\n* **Linus von Ekensteen Löfgren (CTO)** was a desk quant at Danske Bank, researched LLM security at AI Sweden, and wrote quantum simulation code at Chalmers. Winner of the IEEE AP-S Student Design Contest 2023.\n* **Linus Särud (Founding Engineer)** has 12 years of cybersecurity experience and led offensive security at Sciber. He earned bounties for hundreds of vulnerabilities across companies including Google, Meta, Microsoft, and PayPal.\n\n\\\n**Our ask**\\\nIf you run biotech **R&D, process development, assay development, or manufacturing optimization**, we want to hear from you. **Scope an experiment with us at [halmoslabs.com](http://halmoslabs.com)** or email [**hi@halmoslabs.com**](mailto:hi@halmoslabs.com) (enterprise inquiries welcome).", "url": "https://www.ycombinator.com/launches/Uck-halmos-labs-intelligent-experiment-design", "votes": 5, "created_at": "2026-10-05T17:00:00.106Z" } ] }, { "id": 35950, "name": "Resin Technologies", "slug": "resin-technologies", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc5f059ee240037dfd1bb651a9c69886e3dceef6.png", "website": "https://resineda.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Resin is an AI-native ECAD tool. It lets engineers:\r\n- research designs\r\n- generate schematics\r\n- generate any symbols/footprints\r\n- route simple to complex boards\r\n\r\n", "one_liner": "Resin helps engineers design electronics faster and more reliably", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1791317892, "tags": [ "Hardware", "Electronics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/resin-technologies", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/resin-technologies.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/resin-technologies/", "x_url": "https://x.com/ResinEDA", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc5f059ee240037dfd1bb651a9c69886e3dceef6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 501763, "full_name": "Anmol Jawandha", "title": "Founder/CEO", "founder_bio": "Founder at Resin Technologies. Previously AI Lead, startup founding engineer.\nEngineering Physics @ UBC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anmol-jawandha-42aaa9a2/", "x_url": "https://x.com/anmolsj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d9df2d2b7b64556f9595769af859cc848facadb.jpg" }, { "user_id": 3781045, "full_name": "Koosha Rezaiezadeh", "title": "Founder/CTO", "founder_bio": "Founder at Resin Technologies (YC F26). I'm 30 years old with 40 years of experience! Previously Senior Product Engineer at Intelligent Haptronic Solutions for 6 years and Senior Robotics Engineer at A&K Robotics. Earlier electronics engineer at Bosch on driver assistance systems. BSc Engineering Physics from UBC. IPHO gold medalist and a nuclear physics researcher in a past life", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/koosha-rezaiezadeh-92a64294", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c291f20b901d6dd83d0c7af10fe692a113b558e2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120163, "title": "Resin - Codex for electronics", "tagline": "AI-native ECAD that allows engineers to design PCB chips faster and more reliably", "body": "Hey YC! We’re Koosha and Anmol, the founders of Resin. We’re building an AI-native PCB design tool that helps engineers turn ideas into working electronics faster and more reliably.\n\n**Demo: [https://www.youtube.com/watch?v=JByTuaHHHGg](https://www.youtube.com/watch?v=JByTuaHHHGg)**\n\nMandatory GIF:\n\n![uploaded image](/media/?type=post&id=120163&key=user_uploads/501763/ddae1ba4-75e5-43a7-9a30-fe4fa392848f)\n\n**Problem we’re solving**\n\n* **PCB design is slow and manual:** Engineers can spend weeks reading datasheets, finding components, drawing schematics, and routing connections on traditional design tools. \n* **Design mistakes are expensive:** A design error that only gets surfaced _after_ fabrication can require redesigning and manufacturing the board again, adding weeks/months of delay and cost.\n* **Requires expertise:** Good board design takes years of experience to master, so many smaller companies can't do it in-house. Resin makes it accessible to experts and non-experts (including hobbyists) alike.\n\n**How Resin solves this problem**\n\nResin brings AI into a complete ECAD workspace to increase engineering velocity & design reliability:\n\n* **Draft and review schematics:** Describe your requirements. Resin researches parts, drafts schematics, and documents its design decisions. It also reviews existing designs to help catch mistakes before manufacturing.\n* **Find or generate any part:** Tell Resin which component you need. It searches millions of parts, analyzes them deeply and generates accurate symbols and footprints.\n* **Route boards:** Connect selected signals or your whole board with our proprietary routing engine. We’re especially excited about this one!\n* **In the cloud and collaborative:** Resin runs fully in the cloud, and allows seamless collaboration across multiple users!\n* **Prepare for manufacturing:** Check component pricing and availability, manage your bill of materials, and export manufacturing files.\n* **Stay in control:** Resin is a complete EDA workspace with full schematic, PCB tooling (**and not a mere chatbot!**). Users can delegate entire workflows to AI or get hands-on with individual components, connections, and traces. Every AI change is editable and auditable.\n* **Bring existing work into Resin:** We have full support for project & library imports from Altium & KiCad so you can continue existing projects in Resin! There are more integrations on the way!\n* **MCP compatible:** Work from Claude Code, Codex, etc.\n\n**Team**\n\nWe’ve been long time friends — we met in college where we studied Engineering Physics together! Koosha has tons of electronics and hardware experience, having designed very complex hardware at Bosch, Kodak, IHS. Anmol mostly recently led the FDE team at [you.com](http://you.com) and was an early member at various successful AI startups.\n\n**Our Asks**\n\n**Are you or your team building hardware with PCBs? Sign up with this link to get started with some bonus credits [https://resineda.com/signup?promo=YC2026](https://resineda.com/signup?promo=YC2026)!** We’ll reach out for an onboarding!\n\n**Know someone who designs electronics? We’d love intros** to other founders, electrical engineers, hardware leads whether they’re building robots, drones, medical devices, industrial equipment, or consumer products. \n\n**Contact**: Email [anmol@resineda.com](mailto:anmol@resineda.com), text 415 425 4809, or DM me on bookface!", "url": "https://www.ycombinator.com/launches/VG7-resin-codex-for-electronics", "votes": 2, "created_at": "2026-10-07T17:00:00.135Z" } ] }, { "id": 36015, "name": "Ignition Benefits", "slug": "ignition-benefits", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14580e0fabb4e383e5286e8af972648e4bc2b5af.png", "website": "https://www.ignitionbenefits.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Ignition is an AI-native employee benefits brokerage for companies with under 200 employees. Health insurance is one of the largest line items these companies carry, and employers absorb 15 to 40% rate increases year after year without ever seeing their own numbers. We have rebuilt the sales and back office to be AI-first. This market represents about $500B of market cap, and those businesses have not fundamentally changed in over 50 years. While scaling Plated, I wore every HR hat from doing payroll myself, to managing a PEO, to eventually hiring an employee benefits broker on our way to 1,500 employees. We wasted over $4M on benefits over 5 years, and I'm building Ignition to help companies under 200 employees avoid making my mistakes.", "one_liner": "The AI-Native Benefits Brokerage", "team_size": 12, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1789432184, "tags": [ "Health Insurance", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/ignition-benefits", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ignition-benefits.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ignition-benefits", "x_url": "https://x.com/GoIgnition", "fb_url": "https://www.facebook.com/IgnitionBenefits", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/14580e0fabb4e383e5286e8af972648e4bc2b5af.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": 765651, "full_name": "Nick Taranto", "title": "Founder/CEO", "founder_bio": "Founder at Ignition Benefits. Previously founded Plated, the first American meal kit company (sold to Albertsons for $300M in 2017). Former US Marine Corps. MBA from Harvard; BA from Dartmouth. While scaling Plated, I wore every HR hat from doing payroll myself, to managing a PEO, to eventually hiring an employee benefits broker on our way to 1,500 employees. We wasted over $4M on benefits over 5 years, and I'm building Ignition to help companies under 200 employees avoid making my mistakes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicktaranto/", "x_url": "https://x.com/NickTaranto", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1209c5db63442d35b218d6481da25e2839987b74.jpg" } ], "jobs": [ { "id": 109941, "title": "Founding Member of Technical Staff", "url": "https://www.ycombinator.com/companies/ignition-benefits/jobs/04TOkxY-founding-member-of-technical-staff", "location": "San Jose, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $200K", "equity_range": "0.15% - 0.35%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [] }, { "id": 36016, "name": "Pomerado", "slug": "pomerado", "former_names": [ "Toolsmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d4ea3739a0bbffad42b3f827b3d69b5ad605a8f.png", "website": "https://www.pomerado.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pomerado turns any website into an API / MCP in minutes. Connect your agents to legacy portals, consumer websites, and internal tools. \r\n\r\nWhy Pomerado:\r\n • 7x faster than browser agents on customer workflows\r\n • 100x cheaper than browser agents\r\n • Self healing, deterministic APIs\r\n • Universal website coverage\r\n • Hosting, authentication, and permissions handled\r\n\r\nCustomers can use us to:\r\n • automate back office workflows on legacy systems (ERP, EHR, CRM)\r\n • speed up customer integrations for forward deployments\r\n • connect enterprise assistants to internal tools\r\n • supercharge personal assistants with fast and reliable browser use\r\n\r\nWe’re ex-McKinsey and Scale AI. We drove enterprise agent deployments at F500s and orgs like the Mayo Clinic. We saw how legacy systems block agent development and AI transformations; Pomerado turns those systems into AI-native components automatically.", "one_liner": "Turn any website into an MCP for your agents, in minutes", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1791788322, "tags": [ "Developer Tools", "B2B", "Workflow Automation", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pomerado", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/pomerado.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pomerado/", "x_url": "https://x.com/home", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d4ea3739a0bbffad42b3f827b3d69b5ad605a8f.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": 2657756, "full_name": "Akshay Manglik", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Pomerado (YC F26). Previously Applied AI Engineer at Scale AI, where I built frontier agents for enterprises in telecom, finance, and healthcare, such as the Mayo Clinic.\n\nLed Scale's research on agentic trace analysis for recursive agent optimization. Published ML research in Nature Communications and NeurIPS IAB workshop.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshay-manglik/", "x_url": "https://x.com/akshay_manglik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ff94e97b1746aa73487deb7f786228af7de43f4.jpg" }, { "user_id": 4166436, "full_name": "Alan Ma", "title": "Founder", "founder_bio": "Co-founder at Pomerado (YC F26). Previously Business Analyst at McKinsey, setting Data and AI strategy for F500 companies. Mathematics and Computer Science at Columbia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ajma867/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a24f3d62778bfb1147f0ff82b10cbe2322cc3fb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36081, "name": "Polemos Industries", "slug": "polemos-industries", "former_names": [ "Lokberg Industries" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52d6be23c1a08e2020010a26b5bd336554572d38.png", "website": "https://lokberg.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Precision strike is rationed. Forces see more targets than they can afford to hit.\r\n\r\nPolemos builds AI-guided ballistic missiles and the compact launchers that fire them, designed for mass manufacturing. Our launchers form a strike network wired into the recon drones already in the sky: a drone geolocates a target, the nearest launcher fires, and a guided round lands in seconds.\r\n\r\nShort range, no wasted kilometers, no modified trucks. Built on production lines that already exist, so output scales when it matters most.", "one_liner": "AI-guided ballistic missiles, cheap enough to field in numbers that…", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1791838393, "tags": [ "Defense", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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": null, "url": "https://www.ycombinator.com/companies/polemos-industries", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/polemos-industries.json", "year_founded": 2026, "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/52d6be23c1a08e2020010a26b5bd336554572d38.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": [], "jobs": [], "news": [], "launches": [] }, { "id": 36084, "name": "Covera", "slug": "covera", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e711e58f600a9ea3c53a45d934c825989e9b5b57.png", "website": "https://www.covera-agents.com/?utm_source=ycombinator&utm_medium=company_profile&utm_campaign=yc_f26", "all_locations": "San Francisco, CA, USA", "long_description": "Covera is the AI-native operating system for independent P&C insurance agencies. It lives inside the agency's AMS and inbox and runs agentic AI workflows across the whole client journey, from the first email to the next renewal. Producers quote first and win more business; CSRs and account managers stop retyping data.\r\n\r\nSubmissions, for producers: every new request becomes a ready file, one click keys every carrier portal for a first quote during the call, quotes come back side by side, and binding updates the AMS with no double entry.\r\n\r\nServicing, for CSRs and account managers: answers about any account with their source, COIs and follow-ups drafted, renewal reminders 90, 60 and 30 days out with remarketing when premiums jump, and coverage gaps across the book turned into cross-sell leads.\r\n\r\nAgencies using Covera go from lead to quote in 5 minutes, save 10 hours a week per user and win 20% more deals against competitors. Every action is reviewed by the agency team and logged for E&O. Works with Applied Epic, AMS360, QQCatalyst, HawkSoft, EZLynx, Momentum, Gmail and Outlook.\r\n\r\nBuilt by the founders of Simio (conversational AI, acquired in 2024).", "one_liner": "AI-native OS for insurance brokers", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1787324338, "tags": [ "AIOps", "SaaS", "B2B", "Insurance", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/covera", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/covera.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/covera-agents/", "x_url": "", "fb_url": "https://www.facebook.com/covera.agents", "cb_url": "https://www.crunchbase.com/organization/covera-agents", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e711e58f600a9ea3c53a45d934c825989e9b5b57.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 3982969, "full_name": "Tiphaine Venet", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Covera. Previously founded Simio, a conversational AI platform for retail enterprises (Samsung, Carrefour, Air France), and sold it in 2024. Before that, VC at Serena, co-leading investments. Educated at HEC Paris and École Polytechnique.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tiphaine-venet/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6becc198efbb64b0f02ef9867232ea4ed76a8123.jpg" }, { "user_id": 3987641, "full_name": "Thibaut Regerat", "title": "Founder/CTO", "founder_bio": "Founder at Covera. Previously co-founder/CTO at Simio, building a WhatsApp commerce platform for e-commerce brands. Engineer's degree in Computer Science from CentraleSupélec. Early experience in data science and business intelligence before transitioning to founding companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thibaut-regerat/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7515f95f0ecfb7251e72672750bdd224992ad4be.jpg" } ], "jobs": [ { "id": 105751, "title": "Founding GTM/ Account Executive", "url": "https://www.ycombinator.com/companies/covera/jobs/DAQuYrq-founding-gtm-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 36086, "name": "Hesper AI", "slug": "hesper-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22aa0e43c8572c7233989f7b9c4d18841280c577.png", "website": "https://gethesperai.com", "all_locations": "New York City, NY, USA", "long_description": "Hesper AI builds AI agents that investigate P&C insurance claims end to end.\r\n\r\nHesper’s agents read the claim file, detect tampered documents, verify facts, check coverage, flag inconsistencies, and produce an audit-ready case file in minutes, so insurers can check every claim. \r\n\r\nWe work with Claims and SIU orgs at Carriers, MGAs and TPAs,", "one_liner": "AI Claims Investigator for Insurance", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1788805829, "tags": [ "Insurance", "Fraud Detection", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/hesper-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hesper-ai.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/hesperai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/22aa0e43c8572c7233989f7b9c4d18841280c577.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5ca8ebd84e7156b5e441163d33d15b54026132e9.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 675827, "full_name": "Pankaj Dhariwal", "title": "Founder/CEO", "founder_bio": "Previously Engineering Manager at Nanonets(YC W17), where he built Flow (Accounts Payable product) from scratch to $200K ARR and scaled the engineering team from 7 to 25. Earlier, first engineer on the Export-Import team at Shipsy, building the global container tracking and ETA prediction system from the ground up. \n\nDual degree in Electronics & Economics from BITS Pilani.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pankaj-dhariwal/", "x_url": "https://x.com/Pankaj_Dhariwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fd48563dab99d3645e4c2b77229cca94318288e.jpg" }, { "user_id": 559900, "full_name": "Nitish Badu", "title": "Founder/COO", "founder_bio": "Nitish Badu is the Co-founder/COO of Hesper AI.\n\nPreviously, he scaled revenue at Nanonets (YC W17) to $4M in ARR, where he built out the GTM motion, outbound and partnerships. He has approximately 4 years of experience driving go-to-market and revenue for B2B AI companies.\n\nBefore that, he was GTM Lead at Super.AI. He holds a degree from BITS Pilani.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nitish-badu-529b28165/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69238018c926d7c71b158727d1a9b0265d6fe175.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36088, "name": "OpenSEO", "slug": "openseo", "former_names": [ "Every App" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4748ea4cce3f5b77e3f8a5d77e2720edaffb5983.png", "website": "https://openseo.so/", "all_locations": "Boston, MA, USA", "long_description": "Connect to your AI Agent in 2 minutes.\r\n\r\nGet expert level advice tailored to your business backed by real data like keyword search traffic, backlinks, and technical audits of your site.\r\n\r\nHere are some good skills to start with:\r\n\r\n/seo-audit What 1-2 changes to your website will drive more traffic?\r\n/keyword-research Find topics worth writing about?\r\n/competitor-analysis Understand your competitors’ SEO strategy.", "one_liner": "Open source alternative to Semrush and Ahrefs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1790725906, "tags": [ "Open Source", "Marketing", "SEO" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openseo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/openseo.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://linkedin.com/company/openseo-so/", "x_url": "https://x.com/openseo_so", "fb_url": null, "cb_url": null, "github_url": "https://github.com/every-app/open-seo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4748ea4cce3f5b77e3f8a5d77e2720edaffb5983.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 475238, "full_name": "Ben Senescu", "title": "Founder/CEO", "founder_bio": "Building OpenSEO. Prev. 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When breaking the rules rarely costs anything, competition stops being about who builds the better product and starts being about who's willing to cheat.\n\n**What Particularity does**\n\n\\- **Uncover.** Agents check live websites the way a consumer would. Does the advertised price match checkout? Can you actually cancel online? Every step is captured, timestamped, and hashed.\n\n\\- **Investigate.** Every complaint gets a first-pass investigation within the same minute, matched against evidence already on file.\n\n\\- **Act.** Findings map to the elements of the law, so staff can move straight to a warning letter or enforcement action.\n\n**About us**\n\nKavin worked at a causal inference startup and on consumer protection and capital markets at the Senate Banking Committee. Chris built security and compliance infrastructure at AWS, including services for the EU Sovereign Cloud. \\\n\\\n**If you’re a regulator, please reach out!**\n\nWe’re interested in talking to consumer protection staff at state AG offices, large city consumer affairs departments, and state agencies. 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Vexo already has the context: the restaurant a friend mentioned, the intro you promised, the idea you had on a walk. It turns what it hears into private memories and acts on them, booking the table, sending the follow-up, and ordering the groceries through the apps you already use.\r\n\r\nIt's a woven bracelet with a microphone and health sensors. No screen, and nothing to open.\r\n\r\nVexo never keeps your audio. 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By dogfooding we've reached $2M ARR within our first 6 months.\n\n\n\n**The problem**\n\nAI has made it much easier to produce text, images and video. But you still have to decide what’s worth saying, which angle fits your brand and what your audience might care about.\n\nProducing more content doesn’t answer those questions. It just produces more noise.\n\nOur bet: knowing what to say becomes more valuable as creating it gets cheaper.\n\n**How Norn works**\n\nJust type in your website. Native gathers your business and brand context, and Norn ranks ideas using four signals:\n\n* Brand personality: your voice, positioning and style\n* Social performance: what happened after content was published\n* Trends: what people are paying attention to\n* Taste: which ideas you approve, rewrite or reject\n\nNorn’s output is an idea: the point to make, the angle and the format. Native uses frontier models to turn it into images, video, ad creatives and social posts. You review the results, and Native handles scheduling and publishing.\n\nThe original idea, your feedback and the published result become part of the learning loop.\n\n**Already live**\n\nMore than 2,000 businesses use Native, and Norn v1 is already working inside it.\n\nThat gives us something useful to build on: feedback from the whole creative process, from the first suggestion to what happens after publishing.\n\n**Why us**\n\nBen comes from YouTube and agency work, with 15 years in content and marketing. Trond built a marketing agency and founded a music festival. Håkon built machine learning models for visual imagery and brings the AI and engineering background.\n\nBetween us, we’ve spent years creating content and building the software behind it. 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BSc in Machine Learning from UCL and NUS.\nRandom fact: Ex-Universal Music signed artist and semi-finalist of The Voice. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/hindyrossignol", "x_url": "https://x.com/hindyros", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85b5ca3b8f0fcc9c1e7c7bf4dbdc7306100c12b9.jpg" }, { "user_id": 3843970, "full_name": "Bernardo Chalita", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at OpEra (YC F26), the AI decision engine for factories, warehouses and fleets.\nMS in Operations Research from MIT. BSc in Industrial Engineering from Georgia Tech.\nEx-AI Research Scientist at BMW.\nEx-Operations Research Scientist at Sanofi.\nEx-Investments Analyst at J.P. Morgan.\nRandom fact: Marathoner and triathlete.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bernardo-chalita/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1186486c27d55fd86bfdf713eb7cd00f7e74c810.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36643, "name": "Papaya", "slug": "papaya", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90437a276bb22b842ea04cd42e19389e216c984c.png", "website": "https://papaya.fyi/", "all_locations": "San Francisco, CA, USA", "long_description": "Papaya is the optimization engine for AI agents. Engineers don't have time to continually improve the agents they've shipped — the context bloat, overly chatty subagents, and broken tool calls sit in production traces nobody reads, quietly hurting agent efficiency. With Papaya they connect their agent directly via SDK, get actionable recommendations on how to improve quality, latency, and cost, and the ones they approve are pushed to production as pull requests.\r\n\r\nPapaya runs 200+ research-backed analyses across context, prompts, prompt caching, subagents, and tool calls. Every recommendation is ranked by impact and comes with the production runs that produced it — typically a 20%+ quality improvement on the first workflow analysis.", "one_liner": "Continuously improve the quality of your AI agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1789407516, "tags": [ "AIOps", "Developer Tools", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/papaya", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/papaya.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/papayaai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90437a276bb22b842ea04cd42e19389e216c984c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2135001, "full_name": "Macy Mody", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Papaya (YC F26). Previously led GTM and Ops at SafeBase from $0-10M ARR and through its acquisition. Also led analytics products at HqO and managed investments for AmEx Digital Labs. UMich undergrad and HBS MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/macy-berg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570e127be1ea69af0971fe4c5f2a81e394bae22b.jpg" }, { "user_id": 48440, "full_name": "Niyaz Puzhikkunnath", "title": "Founder/CPO", "founder_bio": "Founder at Papaya. Previously Sr. SDE at Amazon for 10+ years building large-scale ML systems across Computer Vision, Classification, LLMs/Agents. Led teams on brand and product classification, built agent evaluation workflows, and created a self-service ML training pipeline. Earlier, one of the first engineers at Zovi.com, where he helped build the front-end architecture and internal analytics.", "is_active": true, "linkedin_url": "https://linkedin.com/in/niyazpk", "x_url": "https://x.com/niyazpk", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/104b41ff2bd7bbe701b32887f45470ba3e89badd.jpg" }, { "user_id": 3166801, "full_name": "Faiz Vadakkumpadath", "title": "Founder", "founder_bio": "Founder at Papaya (YC F26). Previously Senior Data Engineer at Amazon for 10 years, leading teams for the enterprise Data Lake, solving problems at Exabyte scale. Earlier scaled Vodafone's MPESA mobile money system in Africa from 25 to 200 tps at IBM. Co-founded OpenReporting, a SaaS financial reporting tool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vpfaiz", "x_url": "https://x.com/vpfaiz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfa4f0888a12e8d75c59b3bd551968fc62ced0d5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 115486, "title": "Papaya - Continuous Optimization for your AI agents", "tagline": "Papaya finds what's hurting your agent's quality, cost, and latency, and fixes it for you.", "body": "Hey everyone! 👋 \\\n\\\nWe're Macy, Faiz and Niyaz - co-founders of[ Papaya](https://papaya.fyi) \n\n**TL;DR**\n\nPapaya is the optimization engine for AI agents. Connect your production agent and Papaya watches every action, finds what's hurting quality, cost, and latency, and gives you the fix. Once a fix is in place, Papaya makes sure your agent doesn't regress. Teams running Papaya are seeing 20%+ improvements to quality, latency, and cost.\n\n**Ask:** If you run an agent in production, connect it to Papaya. [Grab a time to get started here](https://cal.com/macy-mody/macy-papaya).\n\n\n\n**The Problem**\n\nWe’ve been building agentic systems for years (6 years to be exact…before it was cool), including really large ones that helped run major workflows inside Amazon. We know firsthand that the hard part isn’t getting an agent to work, it’s keeping it working at a high quality bar. We consistently saw that every model update and every prompt change shifted behavior in ways nobody caught until something downstream looked wrong. The only way to find out what changed was to pull traces and read them by hand.\n\nMost companies shipping agents today are focused on the next feature for customers and they don't have time to fully maintain what's already been released. When we built our own agent as a three-person team, we hit the same wall. We needed to make sure our agent had high quality answers, was fast for our customers, and as low cost as possible, but we had to look at everything by hand. Every hour we spent examining traces was an hour we couldn’t spend on new product development. That's why we built Papaya.\n\n**How Papaya works 🔧** \n\nAt Papaya, our goal is to do the hard AI engineering work for you, staying up to date on the latest and greatest research so you can take advantage of this knowledge through optimizations. Simply stream your production traces through a lightweight SDK. From there, Papaya:\n\n* **Finds your use cases**: groups every run by the job the agent is doing, so you're looking at \"refund requests,\" not \"run 4812.\"\n* **Runs 200+ analyses**: checks every use case against 200+ research-backed failure patterns across quality, cost, and latency.\n* **Ranks the fixes by impact**: every recommendation comes with an estimated effect on quality, latency, and cost. Approve the ones you want directly in Papaya and Papaya opens the PR.\n* **Watches for regression**: once a fix ships, Papaya keeps checking that the improvement holds.\n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/0a49f356-ac11-44d5-bcc1-69caf4ba64d9)\n\n**Our Ask 🙏**\n\n* Run an agent in production? Connect it to Papaya. [Grab a time with us here](https://cal.com/macy-mody/macy-papaya).\n* Know any companies spending tons of time maintaining and fixing their agents? Intro us at [macy@papaya.fyi](mailto:macy@papaya.fyi).\n* Building agents and want a second set of eyes? Ping us. We are happy to help however we can!\n\n**The Team**\n\nWe've spent over 10 years building large scale agentic systems at Amazon, and we've scaled other YC startups from $0 to $10M ARR through acquisition. We started out building an analytics agent. The harness we built to optimize our own agent became the center of every prospect conversation, so we pivoted to it. Meet our team below :) \n\n![uploaded image](/media/?type=post&id=115486&key=user_uploads/2135001/ba5c9344-fb83-47ed-8c8c-deef533840ce)\n\n", "url": "https://www.ycombinator.com/launches/U2g-papaya-continuous-optimization-for-your-ai-agents", "votes": 38, "created_at": "2026-09-16T18:04:02.706Z" } ] }, { "id": 36708, "name": "Sinter", "slug": "sinter-systems", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/392a3938deea813eb9351409e9ac2cd528e737d7.png", "website": "https://sinter.systems", "all_locations": "El Segundo, CA, USA", "long_description": "Sinter is a radically faster plastics pipeline, helping iteration heavy hardware teams evolve from prototypes to production parts on week-scale timelines.", "one_liner": "Accelerating scaled plastics with additive technologies", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1788569774, "tags": [ "3D Printing", "Manufacturing", "Advanced Materials" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/sinter-systems", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/sinter-systems.json", "year_founded": 2025, "city": "El Segundo", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sintersystems/posts/?feedView=all", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/392a3938deea813eb9351409e9ac2cd528e737d7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3253127, "full_name": "Oliver Johnson", "title": "Founder/CEO", "founder_bio": "cofounder Sinter (YC F26), building the future of scaled plastics. 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We're building Sona8.\\\nAt BCG and McKinsey we often interviewed a few dozen people, hired interpreters and came back with a deck. The processes that were written down were never the lived processes and a few dozen interviews never gave us the full picture.\\\n\\\n**How it works**\n\n* **Choose what you want to improve or automate.** Pick a question and the people to survey. This could be about sales quoting or mapping processes before implementing AI.\n* **Survey employees with AI voice agents.** Employees talk to our voice agent about their work, in their own language. The agent asks follow-up questions to understand the problems they describe.\n* **Use the findings and check progress.** See themes across interviews by department, get process maps, and ask again later to see what changed.\n\n\\\n**Already live**\\\nWe’ve completed more than 10,000 employee interviews and signed one of the top three consulting firms.\\\n\\\n**Where this is going** \\\nCompanies will try a lot of AI agents and automation tools in the next few years. Each one needs to know how the work is done before it changes anything, and most of that isn't written down. Sona8 creates infrastructure for AI automation tools. Over time we are building a live context graph of workflows by reading the systems a company already uses and connecting them to what employees say. \\\n\\\n**Who it’s for**\\\nSona8 is for corporate development and transformation teams in enterprises, and the consulting firms supporting them. Reach out if you want to understand and improve how work gets done, roll out AI, or build AI tools that understand real-world workflows.\\\n**👉 [Book a demo](https://sona8.com/book-demo) / [anton@sona8.com](mailto:anton@sona8.com)**\n\n\\\n**Team**\n\n* [Anton Hantel (CEO):](https://www.linkedin.com/in/anton-hantel/) ex BCG, MIT MBA (dropped out)\n* [Thilo Tamme (CPO): ](https://www.linkedin.com/in/ttamme/)ex BCG X, TUM Conversational AI PhD (dropped out)\n* [Madeleine Malmsten (CTO):](https://www.linkedin.com/in/mmalmsten/) ex McKinsey QuantumBlack\n* [Jakob Schepers (Founding Engineer):](https://www.linkedin.com/in/jakob-schepers/) TUM CS Master's\n* [Niklas Schneider (Founding Account Executive): ](https://www.linkedin.com/in/nikschneider/) ITONICS, Maastricht SBE", "url": "https://www.ycombinator.com/launches/VMv-sona8-ai-voice-agents-surveying-employees-about-their-work", "votes": 52, "created_at": "2026-10-09T14:30:04.447Z" } ] }, { "id": 36907, "name": "Melty", "slug": "melty-gg", "former_names": [ "LookLoot", "Deployed Telemetry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7f04b686429aece5fee0ca691cbdb211b8619d31.png", "website": "https://www.melty.gg", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Mashup any game", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1791182625, "tags": [ "Gaming", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/melty-gg", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/melty-gg.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/7f04b686429aece5fee0ca691cbdb211b8619d31.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 3401761, "full_name": "David Miller", "title": "Founder", "founder_bio": "Founder @ Melty. 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We help engineering teams continually test and validate what they build: our agents use the product, check real user flows and discover bugs before release. Previously, as CTO at Cosine, I built AI coding agents and the infrastructure behind them, including one of the first CLI harnesses, sandboxed execution from scratch and large-scale repository mirroring for data generation and model training. Now I help teams validate software at scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pandelis", "x_url": "https://x.com/pandelisz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a55b3f5f6b672b3b8e37a486a15ce014683193a.jpg" }, { "user_id": 986471, "full_name": "Jonathan Davies", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Composal. Previously Senior Software Engineer at PapayaDash. Before that built software for Telefonica, Mitie, and Vodafone", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-m-davies/", "x_url": "https://x.com/jonathandavies", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5db544d164e39b3c1e12d9c67fdd8b2afca5015.jpg" }, { "user_id": 858028, "full_name": "Jan Moehlmann", "title": "Founder", "founder_bio": "Founder at composal.ai (YC F26). 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Complex, long-running tasks are split across many agents, each working in its own instant fork of the workspace, and finish in a fraction of the time.\n\nWe built Acyclic because we believe there are huge gains to be had in how agents are run, beyond the models themselves. Agents can already do real work, but they still do it one step at a time, so complex tasks take hours or days. Running them as swarms is an infrastructure problem: isolating each agent, dividing the work, and merging the results without conflicts. Today, teams use Acyclic to run heavy document-processing pipelines in minutes instead of hours.\n\nAt Cambridge, we researched ML and auto-parallelising compilers, and then we built multi-agent systems in production: Ram as a Palantir FDE for pharma clients, shipping systems for clinical trial design, and Varun leading agent architecture at Tracelight for Big 4 accounting firms. 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Acyclic is our answer.", "one_liner": "Agent swarms that make long-running tasks exponentially faster", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1791261091, "tags": [ "Swarm AI", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/acyclic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/acyclic.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/112651593/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/acyclic-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e0ab38690d05797c7ccebecaf6f40e8c72b69516.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": 3653810, "full_name": "Ram Vinjamuri", "title": "Founder/CEO", "founder_bio": "Ram is a founder of Acyclic Labs. He started in ML research: his Cambridge dissertation on transfer learning for low-resource Vedic Sanskrit beat the state of the art and was published at ACL WiNLP. \n\nAt Palantir, he was an FDE shipping multi-agent systems for clinical trial design. That work convinced him there are huge gains in scaling beyond the model. At Acyclic, he is building the infrastructure that lets agent swarms turn complex, long-running tasks from days into hours.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ram-vinjamuri/", "x_url": "https://x.com/ramv2003", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/232c674f93e4e84353b72971c84b9fdebb331bbe.jpg" }, { "user_id": 2012796, "full_name": "Varun Latthe", "title": "Founder/CTO", "founder_bio": "Co-founder of Acyclic Labs (YC F26).\n\nAt Cambridge, my research focused on building an auto-parallel programming language. I then worked on agent architecture and an Excel engine at Tracelight (https://tracelight.ai).\n\nAt Acyclic, I’m building infrastructure that extracts implicit parallelism from agent workflows, turning them into efficient swarms for lower cost and latency.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varun-l/", "x_url": "https://x.com/var1377", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/748349d818f1366c42481e7045a3c41cccbffd5c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37105, "name": "Tilion", "slug": "tilion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/119cb04a763e823c00332f94249a1f95dc277724.png", "website": "https://tilion.com", "all_locations": "San Francisco, CA, USA", "long_description": "we build self-healing browser infrastructure that runs millions of agent operations a day without supervision. \r\n\r\nteams use it for large-scale data collection, agentic workflows, continuous monitoring, and anything else that requires acting on the web at volume.\r\n", "one_liner": "Super fast, unblockable browser infra for agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1789207215, "tags": [ "B2B", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tilion", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/tilion.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tiliondev/", "x_url": "https://x.com/tiliondev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/tiliondev", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/119cb04a763e823c00332f94249a1f95dc277724.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 2899189, "full_name": "Arman Luthra", "title": "Founder/CEO", "founder_bio": "co-founder and ceo, tilion", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armanluthra/", "x_url": "https://x.com/armanluthra_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34aec92b369d6bc7f6e6ac16012f97f32cd6b00f.jpg" }, { "user_id": 4010260, "full_name": "Md Shahrier Islam Arham", "title": "Founder/CTO", "founder_bio": "co-founder and cto, tilion\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shahrierislamarham", "x_url": "https://x.com/shahrier_arham", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d5a48ecf444676901358f5877217a054fb4cd8c3.jpg" }, { "user_id": 813280, "full_name": "Kazi Fardinul Hoque", "title": "Founder", "founder_bio": "co-founder, tilion", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazi-fardinul-hoque", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbc8e1b5a2d183a188e9e010c3a1ced2e8e1e04b.jpg" }, { "user_id": 4005998, "full_name": "Abdul Basit Tonmoy", "title": "Founder/CPO", "founder_bio": "co-founder, tilion", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abdul-basit-tonmoy/", "x_url": "https://x.com/basittonmoy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/558829018df03fb6d5408d120566d397ba2913af.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37137, "name": "Clean", "slug": "clean", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e4d496ee0d1967a7b7483c4981a450e6b1130e7.png", "website": "http://www.tryclean.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Clean watches your market and finds your buyers from what companies actually do: customs shipments, permits, loans and supplier switches. Not just ads or web clicks.", "one_liner": "We tell sellers exactly when a company is ready to buy.", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1790642577, "tags": [ "Deep Learning", "SaaS" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/clean", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/clean.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cleanailabs/", "x_url": "https://x.com/cleanailabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4e4d496ee0d1967a7b7483c4981a450e6b1130e7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6f5fd3c0cc39ee3db274be002ced9c783ee3ac88.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1255f43932c314d572792f0ed1dfd0225c38287a.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2964872, "full_name": "Pavan Kumar Naguvanahalli Yashavantha", "title": "Founder/CEO", "founder_bio": "Founder @ Clean. 2x founder. Prev. Head of Community @ Cliqk, growing it to 10k+ users, 300k in revenue & 28M+ views. Enterprise Sales @ Cisco at 18. Ex. UCSD.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pavankumarny", "x_url": "https://x.com/PavanKumarNY", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1709bb7a17b250665f94ce6378d6e0285ab98aa5.jpg" }, { "user_id": 3147882, "full_name": "Tejas Gupta", "title": "Founder/COO", "founder_bio": "Founder at Clean (YC F26). Previously ML Engineer at Todd Agriscience, where he built the AI platform that anchored a $40M raise and served 6k+ farmers. Founded DocIQ (100+ users, 20 paying customers in weeks). Won HackHarvard 2025. CS @ Arizona State.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tejasguptax7/", "x_url": "https://x.com/TejasGupta67820", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85d83627ad813d38c1c3bfdc662902b9cd6e673b.jpg" }, { "user_id": 2916283, "full_name": "Pratham Patel", "title": "Founder/CTO", "founder_bio": "Founder at Clean (YC F26). Previously built Lokus (5K+ users in 24 hours). Research intern at Dhirubhai Ambani University, where he built RL pipelines using GRPO that achieved 20% higher accuracy than PPO for medical LLM question-answering. At DAIICT, built an LLM self-correction framework using PPO that improved math reasoning accuracy by 60% on GSM8K benchmarks. BS Computer Science at Gannon University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/prathampatel2618/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ee5c460c9461319041cb066a292adbdf10cd021.jpg" }, { "user_id": 3158345, "full_name": "Clarissa Saputra", "title": "Founder/CPO", "founder_bio": "Co-founder at Clean (YC F26). International Physics Olympiad (IPhO) and Asian Physics Olympiad (APhO). Prev. Ruangguru. AAAI 2026. Existential Robotics Lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clarisssaans/", "x_url": "https://x.com/0xcl4r", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28e08248909d68b44f7f52a48e1856eca7f96faa.jpg" } ], "jobs": [], "news": [ { "title": "Learn to Sell First: Pavan's Journey to 25K Followers and Clean's Double-Digit MRR", "url": "https://www.eomag.io/article/clean-pavan-kumar", "date": "Sep 29, 2026" } ], "launches": [] }, { "id": 37203, "name": "Volaren Inc.", "slug": "volaren-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.png", "website": "https://www.volaren.ai", "all_locations": "New York City, NY, USA", "long_description": "Turning ideas into trades. Every great investment starts as an idea about the world. Institutions have teams of analysts turning those ideas into positions. Volaren is that team, processing data through fundamentals and quantitative models that can be personalized with AI.\r\n\r\nTurn your views into trades, portfolios, and back-testable frameworks and strategies, and Volaren stays with you from there, showing you what's actually driving each position and what it means for your next move.", "one_liner": "Turning Ideas into Trades. Volaren puts the hedge fund in the hands…", "team_size": 4, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1789771499, "tags": [ "Fintech", "Marketplace", "Finance", "Creator Economy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/volaren-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/volaren-inc.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/volaren-ai", "x_url": "https://x.com/volaren_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0e143f02ee81e74efcd4497792528526f512482b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2699061, "full_name": "Akshat Mittal", "title": "Founder", "founder_bio": "Founder at Volaren Inc. Previously signal researcher on the Equity Alpha team at Goldman Sachs Asset Management. Developed alternative risk metrics and supported trading at Low Tide Capital Management. One of the first team members at David Protein, pre-launch, working on growth primarily. Studying Statistics and Economics at UChicago (top 5% of class). 2nd in international economics competition in high school.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mittal-akshat", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8cb2dbd4aff6af7c4753f0c38b7fde2f43c4499.jpg" }, { "user_id": 3534379, "full_name": "Martin Pestana", "title": "Founder", "founder_bio": "Founder at Volaren Inc. \n- Previously at Goldman Sachs, Investment Banking Division.\n- Previously at AQR Capital Management in quantitative trading. \n- Applied Math and Economics at University of Chicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-pestana/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd546aeacae8f950fb8624fbfba8e9e7fc2a9c30.jpg" } ], "jobs": [ { "id": 111785, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/volaren-inc/jobs/KfqM968-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$50K - $150K", "equity_range": "5.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 116145, "title": "Turning ideas into trades. Volaren: bringing the hedge fund to retail investors", "tagline": "Describe an investment thesis or strategy in plain English and Volaren's AI analysts research, build, and backtest it for you.", "body": "**TURNING IDEAS INTO TRADES**\n\n**TL;DR:** Volaren is putting a hedge fund in your pocket. You describe a thesis, a strategy, or a view of the world in plain English, and Volaren's AI analysts do the research, build it, and backtest it for you. Try it at .\n\nDEMO: \n\n**The problem**\n\nInstitutions turn a view of the world into real positions using teams of analysts and expensive tooling like Bloomberg and Capital IQ. Everyone else does it by hand, or does not do it at all. The data and the methods already exist, but nobody had built the product that puts them in the hands of small teams and active retailers investing their own money.\n\n**What Volaren does**\n\nYou tell Volaren a thesis, a strategy, or a view of the world in plain English, and its agents go do the research for you. They handle all the heavy lifting of the analysis, and they build it and backtest it across both fundamental work (models, comps, thesis building) and quantitative strategies (momentum, style factors, custom rules). You can delegate as much as you want and expand how much you take on, so you grow from a single investor or small team fund into an entire research team. You see every step and can change anything, so the judgment stays yours, and your work stays with you in one place you can keep building on.\n\n**Who we are**\n\nWe are Martin Pestana and Akshat Mittal, and we ran this exact process on the inside at Goldman Sachs and AQR. Volaren exists to give a person with real conviction and a real portfolio the leverage of a full research team.\n\n**Our ask**\n\nIf you invest your own money, run a small fund, or you know someone who does, try Volaren at . We would love your feedback, and you can reach us directly at [martin@volaren.ai](mailto:martin@volaren.ai) and [akshat@volaren.ai](mailto:akshat@volaren.ai).", "url": "https://www.ycombinator.com/launches/UDJ-turning-ideas-into-trades-volaren-bringing-the-hedge-fund-to-retail-investors", "votes": 7, "created_at": "2026-09-28T16:24:00.151Z" } ] }, { "id": 37236, "name": "Spine", "slug": "spine", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e227fdb2c6620d1b088142bc179befd86c865fee.png", "website": "https://www.joinspine.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Spine runs benefits, payroll, and compliance for startups for free.\r\n\r\nWe do the work by giving teams dedicated senior HR and benefits specialists who operate on top of their existing HRIS (Rippling, Deel, Gusto, ADP). We help companies find better-fit, more cost-effective health plans - reducing healthcare costs by around 15% on average - while running payroll, handling compliance, managing open enrollment, and supporting employees directly in Slack.\r\n\r\n30+ startups already use Spine to lower healthcare costs and take hours of back-office work off their teams. Learn more at joinspine.ai or email onur@joinspine.ai", "one_liner": "We run benefits, payroll & compliance for startups, for free", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1790378229, "tags": [ "Human Resources", "Insurance", "SMB" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Human Resources" ], "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/spine", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/spine.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/joinspine/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e227fdb2c6620d1b088142bc179befd86c865fee.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 4019904, "full_name": "Onur Kardesler", "title": "Founder/CEO", "founder_bio": "We run benefits, compliance and people ops for startups for free.\n\nCo-Founder at Spine. Previously Firefly (2017), a digital car top advertising platform backed by top-tier VCs. MBA from INSEAD, engineering degrees from EPFL and Koç University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/onurkardesler/", "x_url": "https://x.com/okardesler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d7e3f8169107ec5d8756a7702a5b8006379f49b.jpg" }, { "user_id": 4028056, "full_name": "Ece Cokar", "title": "Founder", "founder_bio": "Co-Founder at Spine. Previously co-founded Feed (2021). Oxford-trained lawyer.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ece-cokar-48319037/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/416353a147f113f6930149f3b714166576009e88.jpg" } ], "jobs": [ { "id": 106472, "title": "Growth & Community Lead", "url": "https://www.ycombinator.com/companies/spine/jobs/xq4GAY5-growth-community-lead", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106947, "title": "Senior Health & Benefits Broker", "url": "https://www.ycombinator.com/companies/spine/jobs/FjWnY6a-senior-health-benefits-broker", "location": "San Francisco, CA, US / Los Angeles, CA, US / Remote (CA, US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 117007, "title": "Spine: We run HR backoffice & benefits for startups, for free", "tagline": "Benefits, people ops, and compliance. Off your plate.", "body": "Hey everyone 👋 We’re Onur and Ece, founders of **Spine (F26)**. We previously founded companies together with over $1B in value, and Spine is the company we wish we’d had while building them.\n\nWe run **benefits, people ops, and compliance for startups for free**.\n\nInstead of giving founders another piece of software to manage, we give every company dedicated senior HR and benefits specialists who actually do the work, on top of the HRIS they already use — Rippling, Deel, Gusto, ADP, and others.\n\n### **TL;DR**\n\n* Dedicated senior HR + benefits specialists working directly with your team in Slack\n* Works on top of the HRIS you already use \n* We implement better-fit, more cost-effective health plans and have reduced healthcare costs by around **15% on average**\n* We run open enrollment, benefits administration, payroll, compliance, onboarding/offboarding, and employee support \n* It’s free for startups: we become your benefits broker and are paid by insurance carriers\n* **30+ startups already use Spine, many of them YC companies**\n\nwatch here: \n\n### **The problem**\n\nRippling, Deel, Gusto, and other HR platforms are great software. But someone still has to operate them, deal with issues, coordinate with carriers, answer employee questions, manage compliance, and make sure nothing falls through the cracks.\n\nAt an early-stage company, it usually falls on the founder, COO, finance lead, or whoever happens to know the most about it. That work quickly becomes a second job.\n\nSoftware helps. But someone still has to do the work.\n\n### **What we built**\n\n**Spine does the work for you. For free.**\n\nEvery company gets a dedicated senior HR lead and benefits specialist who works directly with the team, primarily through Slack, on top of the systems they already use.\n\nWe:\n\n* Review your existing health plans and run the market for better options\n* Benchmark coverage and pricing to reduce healthcare spend\n* Run open enrollment and benefits administration\n* Handle employee benefits questions directly\n* Run payroll and resolve payroll issues\n* Handle compliance, onboarding/offboarding, and ongoing people ops\n\nYou don’t need to migrate away from Rippling, Deel, Gusto, ADP, or whatever HRIS you already use. **We operate on top of it.**\n\nFor benefits, we become your broker of record. Insurance carriers already pay broker commissions, so we use those commissions to provide the rest of the service for free.\n\n### **Why we started Spine**\n\nWe spent years building and operating startups ourselves and kept running into the same problem: as our companies grew, we accumulated more software for payroll, benefits, compliance, and HR, but **the work itself never disappeared**.\n\nWe thought startups shouldn’t need to build an internal HR team just to make all of this work.\n\nSo we built Spine.\n\nToday, **30+ startups use us**, and we’re taking this work completely off their plates while also reducing what they spend on healthcare.\n\n### **Our ask 🙏**\n\nIf you’re running a startup, **get a senior HR and benefits team dedicated to you, for free.**\n\nYou can use us if:\n\n* your health insurance renewal or open enrollment is coming up\n* you’re thinking about leaving a PEO\n* you want to know whether you’re overpaying for healthcare\n* you need help with payroll, compliance or benefits\n* or you’re simply tired of spending time on work that has nothing to do with building your company\n\n**Send us what you have and we’ll start working for you right away, for free.**\n\nWe’d also really appreciate introductions to founders, CFOs, or people/ops leaders who could use the help.\n\nStart here: or reach out to me directly here: [onur@joinspine.ai](mailto:onur@joinspine.ai)\n\nWould love feedback from the YC community ❤️", "url": "https://www.ycombinator.com/launches/URD-spine-we-run-hr-backoffice-benefits-for-startups-for-free", "votes": 11, "created_at": "2026-09-28T20:00:00.217Z" } ] }, { "id": 37238, "name": "Terse", "slug": "useterse", "former_names": [ "Terse Inc. dba Terse AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/21712c0189bc22ccc5e9bfeb15e67a527077b8f7.png", "website": "https://www.useterse.ai/", "all_locations": "New York City, NY, USA", "long_description": "We build infrastructure to power agentic systems such as software factories, multiplayer agent frameworks and agent coordination.", "one_liner": "Durable state for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1790745772, "tags": [ "API", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/useterse", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/useterse.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/terse-inc", "x_url": "https://x.com/IncTerse", "fb_url": null, "cb_url": null, "github_url": "https://github.com/TerseAI/durable-actors", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/21712c0189bc22ccc5e9bfeb15e67a527077b8f7.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": 213528, "full_name": "Thomas Elias Karatzas", "title": "Founder/CEO", "founder_bio": "Founder at Terse AI. Previously Staff Engineer at Apple for 7 years, working on Siri and Apple Intelligence. Earlier founded Know Your VC (acquired by RateMyInvestor). Software Engineering degree from McGill University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomas-karatzas-a3015a94/", "x_url": "https://x.com/karatzas_thomas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dad0537303f1f75e956ab8e949aa67c25a10c1a.jpg" }, { "user_id": 4004194, "full_name": "Olivier Simard-Morissette", "title": "Founder/CTO", "founder_bio": "Founder at Terse AI (YC F26). Previously Principal Software Engineer at Pigeon (YC W23) and Senior Software Engineer at Squarespace and The New York Times. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olism/", "x_url": "https://x.com/oliviersm199", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d54e4534691360fc80d558e0622c9457684b7278.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37272, "name": "The Subvocal Company", "slug": "the-subvocal-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cacc4ab40596ece6b5c77c3f350ee25ddf5cb079.png", "website": "https://subvocal.company", "all_locations": "San Francisco, CA, USA", "long_description": "We're building a silent speech wearable that lets you talk to your computer at the speed of voice, but silently and completely imperceptibly to everyone around you.", "one_liner": "Talk to your computer without talking", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1788050504, "tags": [ "Hard Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 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/the-subvocal-company", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/the-subvocal-company.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/subvocal", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cacc4ab40596ece6b5c77c3f350ee25ddf5cb079.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2632951, "full_name": "Aarush Yadav", "title": "Founder/CEO", "founder_bio": "Founder at The Subvocal Company, CS @ GT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aarushyadav", "x_url": "https://x.com/AarushYadav47", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/951410271b2c5b83864ec944840d5067e136a650.jpg" }, { "user_id": 3723374, "full_name": "Arnav Kumar", "title": "Founder/CTO", "founder_bio": "Founder at The Subvocal Company. CS @ GT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arnav-kumar-tsc", "x_url": "https://x.com/Arnkum_Avar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8b1bd4477446f6c99a51da89ea65761ce55d2cd.jpg" } ], "jobs": [ { "id": 107082, "title": "Head of ML", "url": "https://www.ycombinator.com/companies/the-subvocal-company/jobs/RzUITdx-head-of-ml", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Machine Learning", "Speech Recognition" ] }, { "id": 107083, "title": "Head of Sensing", "url": "https://www.ycombinator.com/companies/the-subvocal-company/jobs/yBCprPW-head-of-sensing", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.25%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107084, "title": "Head of Hardware", "url": "https://www.ycombinator.com/companies/the-subvocal-company/jobs/XEN2HGf-head-of-hardware", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $200K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 37273, "name": "Frontrunner", "slug": "frontrunner", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9d85abe63d98ee4de2bf8d852d5f9cf4ad82e21.png", "website": "https://usefr.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Build agents that research accounts, find prospects, run campaigns, update your CRM, qualify inbound, and more. Connect them to the systems you already use and let them work alongside your GTM team.\r\n\r\nEngineer your revenue factory on Frontrunner. ", "one_liner": "Cursor for GTM", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1788967219, "tags": [ "Sales", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/frontrunner", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/frontrunner.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/frontrunnerai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a9d85abe63d98ee4de2bf8d852d5f9cf4ad82e21.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": 3975671, "full_name": "Maya Nayyar", "title": "Founder/CEO", "founder_bio": "Founder at Frontrunner. Previously Head of Growth at Console and Growth Lead at Encord (YC W21), scaling go-to-market for AI infrastructure companies. Started career as Associate at Bank of America. BA Economics from Columbia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mayanayyar/", "x_url": "https://x.com/mayanayyar1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bea2f9063326b3cc002d4f878b998bde95d61d8f.jpg" }, { "user_id": 1114108, "full_name": "Carl Bager", "title": "Founder/CTO", "founder_bio": "CTO at Frontrunner. Previously, CEO at Diciv (Acq. Madison AI), Growth Engineering Lead at Encord (W21), Growth Engineer at Instawork (S15), and Growth Engineer at The Org. Started first business at eight growing and selling strawberries. BA from Yale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/carlbager/", "x_url": "http://x.com/carlbager", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/810a63b93db44b74d6a90644bfc3f3e4c9f15d44.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 121221, "title": "Frontrunner 🏇: Cursor for GTM", "tagline": "Platform to build and run GTM agents", "body": "We’re Maya and Carl, founders of Frontrunner. Previously, we built GTM systems at Console and Encord that supported hundreds of millions of dollars in pipeline. At Console, Maya built and led a 10 person team across GTM engineering, demand gen, content, events, product marketing, and outbound. At Encord, Carl led GTM engineering and built out robust internal systems to bridge the gap between sales and marketing. \n\n\n\n\\\nFrontrunner is the agent platform for GTM. **How it works:** \n\n* We plug into where your data already lives: CRM, email, calendar, product, call recordings\n* We turn it into a graph of your business: accounts, people, conversations, signals, and how they connect.\n* A fleet of agents run on the graph to continuously research accounts, find and enrich prospects, monitor buying signals, prioritize who to go after, and hand the right action off to your team.\n\n**The result:** instead of rebuilding context in Claude or stitching together point solutions for every workflow, your GTM team has a system that remembers what it learns and gets better as it runs.\n\n**What customers run on Frontrunner:**\n\n* Signal-based outbound: Monitor buying signals → identify and enrich the right people → score and route them to reps\n* Account research: Continuously research target accounts and keep CRM context current\n* Pipeline revival: Monitor closed-lost and dormant opportunities for reasons to re-engage\n* Inbound qualification: Research and score inbound accounts → route them to the right rep\n* Attribution: understand which signals, campaigns + touchpoints actually turn into revenue\n\n**Results from customers**\n\n1. 15% higher win rate on new business\n2. 40-50% conversion to meeting booked on signal based outbound \n3. 10,000+ contacts in their TAM sourced and enriched\n4. 100+ of signal based opportunities actioned daily\n\n_“We are already booking more meetings with you than we did with our first GTM hire”_ \n\nUnlike Claude or other general purpose AI tools, Frontrunner is an opinionated harness for GTM. Your nth project in Claude will not incorporate the meeting outcomes, closed won business to scale and improve revenue for you based on bespoke playbooks for your company. But it will gladly take up your team members afternoons vibe coding on siloed ideas and projects.\n\n**🏇**\n\nWe’re building Frontrunner so GTM teams can spend less time stitching together tools and rebuilding context, and more time figuring out what _actually_ moves the business. If your team wants to or is already experimenting with agents across sales or marketing, we would love to chat!", "url": "https://www.ycombinator.com/launches/VXB-frontrunner-cursor-for-gtm", "votes": 6, "created_at": "2026-10-12T16:00:00.063Z" } ] }, { "id": 37274, "name": "Decent", "slug": "decent-com", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/786d073f3a76012e5179c5021d6a0d82644d8d1f.png", "website": "https://decent.com", "all_locations": "San Francisco, CA, USA", "long_description": "Decent is a health insurance brokerage for small businesses. We compare every way to cover your team, show what each one costs, and then keep improving your plan all year. We're paid by insurance companies, so we're free to you.", "one_liner": "Your health plan should get better year-round. Not just once a year.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1789976042, "tags": [ "Fintech", "Health Tech", "B2B", "Health Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/decent-com", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/decent-com.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/decenthealth", "x_url": "https://x.com/decent", "fb_url": "https://www.facebook.com/DecentHealth/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/786d073f3a76012e5179c5021d6a0d82644d8d1f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 103060, "full_name": "Nick Soman", "title": "Founder/CEO", "founder_bio": "Founder at Decent. Previously founded Decent, Inc., a venture-backed health plan administrator (acquired by Nice Healthcare). EIR at Foundation Capital. Growth Product Lead at Gusto. PM on Kindle at Amazon. Founded LikeBright/Reveal (acquired by Napster). Stanford BA, Harvard MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicksoman", "x_url": "https://x.com/nicksoman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/892ff653167fc0e506db11c8156b3343dfcf9cdb.jpg" }, { "user_id": 3997688, "full_name": "Andrew Budker", "title": "Founder/CTO", "founder_bio": "Founder at Decent. Previously Director of Software Engineering at Meta, where he led Metamate (Meta's internal AI assistant and Agent Platform) and built deep learning computer vision systems shipping in Oculus. Before Meta, engineering manager at Amazon for 5 years and engineer at Microsoft. BS Applied Mathematics from UCLA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abudker/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c54e3f9459c5e31c2a1e41256f5afacccf1e02d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 118447, "title": "Decent: Your health plan should get better year-round. Not just once a year.", "tagline": "We find the best health plan for your company, and use AI to make it better all year.", "body": "Hi everyone. I'm [Nick Soman](https://www.linkedin.com/in/nicksoman/), cofounder of [Decent](https://www.decent.com/) (F26) with [Andrew Budker](https://www.linkedin.com/in/abudker/).\\\n\\\n\n\n\\\n**The problem**\\\nYou choose your company health plan once a year at renewal, and then nobody touches it for twelve months. All year long you overpay without seeing it. A one-time surgery gets built into next year's rates as if it’s recurring. You get billed for employees who left months ago. Your team uses the ER for things that primary care could have handled for a fraction of the cost.\\\n\\\nI learned this the hard way. A carrier raised my old company's rates 27% in January because an employee had started an expensive treatment the February before. They told me it was my data and my fault for not looking. Almost all of that cost was waste. She could have been treated at home for 30% less. An equally effective treatment that cost 25% less could have been free to her. Optimized dosing could have saved 20% more, with fewer side effects and no negative impact on her health.\\\n\\\n**How Decent is different**\\\nYour health plan should get better all year, not once a year. You don't buy a year of ads or a rack of servers up front anymore, but health insurance is stuck on a single annual renewal. Decent is an AI-native health insurance broker for US companies with 2 to 200 employees. We compare every way to cover your team, show what each one costs, and then keep improving your plan all year, for your company and for your employees. The insurance company you choose pays us, so we’re free to you.\\\n\\\n**Why trust us**\\\nAndrew and I met 16 years ago building the Kindle at Amazon. He spent the last several years leading engineering for Metamate, Meta's internal AI platform. I've started and sold two companies and raised $42M. Before this I built and ran level-funded plans, PEOs, and association health plans, with a Net Promoter Score of 79 vs. the industry average of 14, so I know what good looks like and where the system breaks. \\\n\\\nThe full story of why I came back to this, and why it's called Decent, is here: \\\n\\\n**Traction**\\\nAI is doing 89% of our brokerage work and climbing, and we just caught a one-time surgery driving 46% of a client's claims spend and kept it out of next year's rates. 67 companies are working with us so far, and many more are close behind.\\\n\\\n**What you can do now**\n\n* If you or someone you know runs or helps run a US company with roughly 2 to 200 people renewing by January 1, 2027, book 15 minutes with me to find the best plan for you: \n* Want to look first? [Get a quote](https://www.decent.com/quote) and price the market yourself on our site, no call needed.\n* Know a company that's overpaying? Introduce us and we'll pay you when they get a quote, whether or not they buy: [decent.com/refer](http://decent.com/refer)\n\nOur mission: affordable healthcare for all. It's never too late to save the world.\\\n\\\nNick & Andrew\n\n![uploaded image](/media/?type=post&id=118447&key=user_uploads/103060/6978a63f-c3bf-452d-b3a1-15336d01adc1)\n\n", "url": "https://www.ycombinator.com/launches/UoR-decent-your-health-plan-should-get-better-year-round-not-just-once-a-year", "votes": 4, "created_at": "2026-10-05T16:00:00.081Z" } ] }, { "id": 37401, "name": "Theseus Robotics", "slug": "theseus-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e2fc8bde838b206a0f59886a05a00e2d3d89335.png", "website": "https://theseus.bot/", "all_locations": "ZH, Switzerland", "long_description": "Theseus Robotics creates the OS & Physical AI to deploys humanoids to automate menial tasks in supermarkets. During the day, our robotics pick orders for e-grocery orders. Overnight, they restocks shelves with goods from the back warehouse. ", "one_liner": "Humanoids to restock retail shelves & pick orders", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1791578688, "tags": [ "Hard Tech", "Robotics", "Retail Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "Switzerland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/theseus-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/theseus-robotics.json", "year_founded": 2026, "city": null, "country": "CH", "linkedin_url": "https://www.linkedin.com/company/theseus-robotics-ag", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7e2fc8bde838b206a0f59886a05a00e2d3d89335.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Kulveer Taggar", "url": null }, "founders": [ { "user_id": 4007490, "full_name": "Samarth Malhotra", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Theseus Robotics. Previously founded and scaled Parts World USA from sub-$100k to $3M revenue in 4 years by building global supply chains across China, India, Vietnam, Malaysia & USA. Founded Jumps Tronic (hardware manufacturing). Worked on ML at Facebook and HP. BS in Computer Science from Carnegie Mellon; Dropped out of ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sam-malhotra", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/403466207082fcec6636388b8a98bc53905bd948.jpg" }, { "user_id": 3185593, "full_name": "Kristof Floch", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Theseus Robotics, developing AI for humanoids that restock shelves and pick grocery orders. Previously VP of Technology at ETH Robotics Club, leading 120 robotics students across six teams. Researched high-performance learning-based control at ETH Zürich and SZTAKI. First-author publications in IEEE TCST and at ECC. ETH Zürich Excellence Scholar in Robotics, Systems and Control.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kristof-floch", "x_url": "https://x.com/kristof_floch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b4fc486294601139a191d8aea184d2510aa5880.jpg" }, { "user_id": 4027568, "full_name": "Ádám Weinhardt-Kovács", "title": "Founder/CPO", "founder_bio": "Founder/CPO at Theseus Robotics. Previously robotics engineer at Flink Robotics, where he led deployment of a pick-and-place system at live sorting centers achieving 800 picks/hour matching human performance. Designed full robotic work-cells and built custom pneumatic grippers. Published ML research on vehicle dynamics at IFAC SYSID 2024. MA in Robotics from ETH Zürich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-weinhardt/", "x_url": "https://x.com/AdamWeinhardt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49ba95ea880e2aa533b2c69d0ea69f567dcda74d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37434, "name": "Ascenix", "slug": "ascenix", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9df54ccfcc3e9d39a078433b991341cfb364eb78.png", "website": "https://www.ascenix.co/", "all_locations": "Toronto, ON, Canada", "long_description": "Ascenix is the all-in-one incident platform that turns unstructured EHR data into automated reporting, reimbursement recovery, compliance flagging, and clinical insight. We’re already live in 50 homes and scaling across North America. We connect to systems like PointClickCare and analyze the notes nurses already write, adapting to any note structure and any compliance or reporting requirement.\r\n\r\nWe help teams identify documentation gaps, uncover missed revenue opportunities and spot emerging resident risks, while reducing time spent reviewing charts and building spreadsheets. Our goal is to improve residents’ quality of life by helping care homes reach their full clinical, financial and operational potential.", "one_liner": "Clinical intelligence layer for skilled nursing facilities.", "team_size": 7, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1790728301, "tags": [ "Digital Health", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ascenix", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ascenix.json", "year_founded": null, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/ascenix-care/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/FallyxInc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9df54ccfcc3e9d39a078433b991341cfb364eb78.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/37492/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAB65C3NVS%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022741Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIFHXAPmtyBqrp837x%2BtvevEoxnv8Gx58GX3c9rn9bY6wAiEAnoTYvKXZBY2yYnHaniYwouJlCtk3JKIPv4z%2BTXuT688q5QMIOhAAGgwwMDYyMDE4MTEwNzIiDIHC0yiHW7T%2BEq6IKSrCA0mQmdRF2LeGicURdAqTuXKwIBhPfKv03ZZAZzoNtJAkGM8u7vooAxawOKcZPN9WLpeDtSzEM7TuTjQY%2FSS%2FTfEhzvdl500snpvwMuAUX%2FMnVTcl5kj2%2FIsG28zbyz8SPOC4MFZxDJVLkVzZNyPm3Sqhwd3tVb2eAEA3Snlb4tVJoon4gMiENPudPZx1mYan0pV4y%2BvzIh5fSOXOzeCNtxQsghL2vqdt3ZRX4GhG0IaYmwHZ0vFYWZwGU2xHZTPJkKesM7CU%2BMSvC%2BKk9kh8ZiXfIhNiuw%2FOR852%2Bweym8GCQK6sL6vUztSw7YJM3DE7S54GoLMVqJ3pVZ4nRCueNuUDIk5Xcrm%2BnO1D9PDCkuXHfeKAtd5IND0%2F4wYBviiIjCiK4V7c1Te%2BjLtQeECQN5bdreLVcmD0ZFE7SP6Dvl%2BeNrrSzWJHVFMVrMXuYy1wq%2BUAVorlEk4FscLgq3nyCKv61HriR0E6TvRMW6fk5BtLEXX1pdLG9J0wPrD6BS8%2BV21NXMusbpc083g5foxzAm0jcBk1vdGzWZo%2BGnkPgmkjCbFBu%2FG4dGUQ1bjI0EleTOkMK9Gc9hZuAdBXN6Zq1hmsgjDp%2FdrWBjqlAalkHK0yOWpTa7BiFYcBcyXQM0nL9eNLVPHbhsST5McQGckOmastElrLWzEA65ZsOsnbn5TgNPMQCUiMKSoECCtAW%2FTFKN3Ej8hCo8MYzwczme29nAZKN2BjgGewXyGbJcEZLYeLieG3o0UXlAc8xAQtVo7SKkZsv5jz5027mW394DI93TQNDPVYcRXMMcqk6cNJjjQg29oJFm95qhz2pS7W7NvhVw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=963771c2982458286cc6cd25e1d43b303de4a8b1dff52292238d453b339ef498", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2282911, "full_name": "Rishi Mehta", "title": "Founder/CEO", "founder_bio": "Lived in a retirement home to found Ascenix (YC F26). Previously founded Fallyx. Fellow at Pareto Holdings and Emergent Ventures grantee at George Mason University. Alumni of Johns Hopkins CTY and The Knowledge Society.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishi-mehta-12b569140/", "x_url": "https://x.com/rishimehta30", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/17b4476b8d84b14a5717e456cfbbca6ea6d122fa.jpg" }, { "user_id": 320011, "full_name": "Ayaan Esmail", "title": "Founder/President", "founder_bio": "Founder/President at Ascenix. Previously founded Fallyx. Fellow at Pareto Holdings. Studied Health Science at Western University before leaving to live in a retirement home. Early research experience in nanotechnology at Myant Inc. and medical research at University Health Network's Wilson Center.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayaan-esmail/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cf0f07cb789c7866c9dd960658e89520933ffb82.jpg" } ], "jobs": [], "news": [ { "title": "Fresh out of high school, living in a retirement home: Teens move in to develop fall detection system | CBC News", "url": "https://www.cbc.ca/news/canada/toronto/teens-retirement-home-1.7414002", "date": "Dec 18, 2024" } ], "launches": [] }, { "id": 37435, "name": "GrayPass", "slug": "graypass", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/824e97773961053f47e92f9a1a6fd805d2328d0b.png", "website": "https://www.graypass.org", "all_locations": "Toronto, ON, Canada", "long_description": "Login tells you who signed in. GrayPass helps apps check who’s behind sensitive actions and whether they’re authorized before those actions go through.\r\n\r\nIt combines identity, device and session context with behavioral signals like typing rhythm, cursor movement and scrolling. Before a sensitive action goes through, GrayPass evaluates that evidence against your team’s policy and returns a decision: allow, challenge, hold or deny. Your app enforces the decision.\r\n\r\nThis applies to actions like exporting sensitive data, changing admin permissions or allowing an AI agent to act on someone’s behalf. Allowed actions receive short-lived, signed proof tied to the exact action and your app.\r\n\r\nYour existing login and authentication stack stays in place.", "one_liner": "Verify the expected person is still in control before sensitive…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1789869580, "tags": [ "Biometrics", "Identity", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/graypass", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/graypass.json", "year_founded": 2025, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/graypass", "x_url": "https://x.com/graypassinc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/824e97773961053f47e92f9a1a6fd805d2328d0b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/48514b7baa4f379e077c2d2d12a82ebd8ae031f4.png" ], "primary_partner": { "name": "Max Kolysh", "url": null }, "founders": [ { "user_id": 1531836, "full_name": "Arav Mathur", "title": "Founder/CEO", "founder_bio": "Founder/CEO at GrayPass (YC F26). University of Waterloo CS. Founded my first startup at 15 and raised $30K. Launched a fashion app that reached 3K users in 3 weeks and generated 1M+ views on social media. Served as the sole growth engineer at Stan ($40M ARR). At 16, developed dubbing and translation tools for creators including Logan Paul, Yes Theory and GothamChess. Now building GrayPass to help apps verify who's behind sensitive actions and whether they're authorized, even after login.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aravmathur/", "x_url": "https://x.com/aravmathur23", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0532c0b2de20032b2205d049f1f59bf9049dd28.jpg" }, { "user_id": 3483494, "full_name": "Aditya Ranjan", "title": "Founder/COO", "founder_bio": "Founder/COO @ GrayPass (YC F26) | Making human agency legible. Previously studied Neuroscience @ McGill. Conducted neurosurgical research at SickKids, with work published in Springer Nature. Granted a fellowship @ UBC to develop longitudinal transformer models predicting epilepsy outcomes from MRI scans. Founded an organization developing seizure-detection technology for epilepsy applications. Created brain tumour segmentation algorithms for UPenn BraTS challenges alongside EPFL researchers. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ad1tyaranjan", "x_url": "https://x.com/ad1tyaranjan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fdf5b6e06af9375cb8bc6e94648303ce942a314f.jpg" } ], "jobs": [], "news": [ { "title": "Small Business Security Now Depends On What Happens After Login", "url": "https://www.forbes.com/sites/terdawn-deboe/2026/09/23/small-business-security-now-depends-on-what-happens-after-login/", "date": "Sep 23, 2026" } ], "launches": [] }, { "id": 37467, "name": "Cyclon", "slug": "cyclon", "former_names": [ "TextGavel", "Oxygen" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4a1648c00832ca1c9d1a963380c29de9ec30af.png", "website": "https://cyclon.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cyclon is rebuilding the phone around AI. Instead of opening apps and tapping through screens, you tell your phone what you want and it does it for you. With one touch, you can spin up AI agents to control your phone or handle tasks in the background. AI isn’t just inside an app - it’s the phone itself.", "one_liner": "a phone where AI is the interface", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1790095817, "tags": [ "Hardware", "Consumer", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/cyclon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/cyclon.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/useoxygen", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d4a1648c00832ca1c9d1a963380c29de9ec30af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1322666, "full_name": "Adam Zinebi", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Cyclon (YC F26). Electronics & miniaturized hardware @ EPFL. Previously @ Oracle, @UC Berkeley & @CentraleSupélec.\n\nWon YC Call-My-Agent-Hackathon with 90+ participating teams coming from all over the world.\nBuilt a Music Gen B2B startup and sold models to top artists in Morocco/Switzerland.\nPublished a preprint Inflation nowcasting paper cited by Bank of settlements, Bank of Italy and biggest economic institutions worldwide", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-zinebi-454a99222/", "x_url": "https://x.com/AdamZinebi1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaaaa97b426b27d133b106e1af6ded3482825c86.jpg" }, { "user_id": 2623955, "full_name": "Thomas Kiefer", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Cyclon (YC F26). Prev. Android at Google, Stanford, ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/th0maskiefer/", "x_url": "https://x.com/th0maskiefer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f6c1f99680766d1613abf0435a84aefc301ad6c.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37468, "name": "Ageospatial", "slug": "ageospatial", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74f6c9e933a7a4a3c86d3c81c6964ca26989ba26.png", "website": "https://ageospatial.com/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Ageospatial helps organizations value the risk on their physical assets (properties, land, infrastructure) remotely using satellite imagery.\r\n\r\n97% of commercial properties are never physically inspected because it's too slow and expensive. So insurers price risk based on what the client or broker tells them, and about half the time at least one of those records is wrong. The result is mispricing, fraud, and an estimated $36B in premium leakage every year in the US alone, which gets exposed the moment a disaster hits.\r\n\r\nUpload a list of addresses and their GeoAI reads satellite and street-level imagery, maps, real-time data, public records and the insurer's own data to determine what's really there, which natural and human hazards surround it, what changed over time, and which properties are worth inspecting. Each property becomes a living record that underwriting, claims and pricing teams can trace from past to present. Ageospatial deploys inside carriers and MGAs as an AI-native service, so insurers get outcomes delivered.", "one_liner": "Physical intelligence for every decision with Geospatial AI.", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1790148781, "tags": [ "Computer Vision", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "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/ageospatial", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/ageospatial.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/maazhsheikh/", "x_url": "https://x.com/maazinsf", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ageospatial", "github_url": "https://github.com/AGEOspatial", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74f6c9e933a7a4a3c86d3c81c6964ca26989ba26.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2973429, "full_name": "Maaz Sheikh", "title": "Founder/CEO", "founder_bio": "Maaz has been making maps since he was 6. His superpower is having a spatial-memory, he can draw a 1 km-resolution world map from memory and was ranked top 100 in the world on GeoGuessr. He was hired at 19 to support wartime and natural-disaster decisions from satellite imagery and at 21 analyzed drones in the Arctic to study whether food could grow there if the ice melted. He spent 7 years building geospatial software for insurance, energy and governments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maazhsheikh/", "x_url": "https://x.com/maazinsf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b2709e2ef464249284afc8292d11ab5ebfe04ba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 116579, "title": "Ageospatial - pricing the risk of every property, infrastructure and land on Earth from satellites", "tagline": "know the assets that you insure in the physical world", "body": "**TL;DR: insurers cover buildings, land and infrastructure they've never seen. we look at every one of them from space and tell them what they're really insuring and how risky it is.**\n\n\n\n![uploaded image](/media/?type=post&id=116579&key=user_uploads/2973429/b3467b52-ec9a-41b2-881c-6f84b0f0ba29)\n\n**the problem**\n\n* 97% of commercial properties are never inspected. it's too slow and too expensive to send someone.\n* so insurers rely on what they're told such as forms filled in by owners and brokers and half the time, at least one detail is wrong.\n* wrong info means wrong prices, fraud, and money lost. insured disaster losses passed $100B in 2025. in the US alone, insurers lose $36B a year to underpriced policies.\n\n**how it works**\n\n* give us a list of addresses, type one in, or click anywhere on the map\n* our AI reads satellite images, street-view, maps, public records, internal and live data\n* for each asset it tells you: what it really is, what hazards surround it, what changed, and whether it's worth inspecting\n* every asset gets a record that updates over time, and those records make the AI better at finding other risky ones\n* we set it up inside the insurer’s systems with our own engineers, so they get outcomes without hiring anyone\n\n**who am I** [@Maaz Sheikh](https://bookface.ycombinator.com/user/2973429)\n\n* I've been obsessed with maps since I was 6. I can draw the world map from memory\n* I was top 100 globally on GeoGuessr\n* modded video games and added location data to them as a teen, made money on mods\n* went to college at 17, studied Geomatics Engineering (CS + Geography)\n* hired at 19 to support decisions during wars and disasters using satellite imagery, worked on some of the largest crises of our time\n* went to the arctic to see if we can grow food where permafrost melts using drone imagery, lived in a container at -22°F\n* freelanced for large clients in insurance, energy and government\n\n[ageospatial.com](http://ageospatial.com)\n\n![uploaded image](/media/?type=post&id=116579&key=user_uploads/2973429/ed2be0a7-c6a8-4406-8120-da1b616fc0ad)\n\n![uploaded image](/media/?type=post&id=116579&key=user_uploads/2973429/e7f5d214-9e00-4ec2-b7f0-70bbde642b15)\n\n![uploaded image](/media/?type=post&id=116579&key=user_uploads/2973429/1abf4461-f8dc-405f-a184-300713a629a4)\n\n", "url": "https://www.ycombinator.com/launches/UKJ-ageospatial-pricing-the-risk-of-every-property-infrastructure-and-land-on-earth-from-satellites", "votes": 8, "created_at": "2026-09-29T16:00:00.089Z" } ] }, { "id": 37533, "name": "HABU", "slug": "habu", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/afbe75a6c02bccd51c23fca509a7ba3de70f6920.png", "website": "https://buildhabu.com", "all_locations": "Phoenix, AZ, USA", "long_description": "HABU is an AI-native real estate development firm that helps real estate investors deploy capital to build housing faster, at lower cost, and with higher yield. \r\n\r\nWe're building an internal AI-native operating system that completes 90%+ of development tasks at 95% faster processing speeds while delivering the same outcomes customers expect externally: high yield, low risk projects. We're selling the outcome, not the inputs to the outcome. \r\n\r\nDevelopers are service providers for white-collar investors: they find land, construct buildings, and operate and sell them for a profit. Our customers don't care how the projects are sourced or managed, only that they are completed on time and produce the forecasted returns. \r\n\r\nWe use agentic workflows, geospatial analysis and mapping, and development-specific workflow automation to manage the end-to-end process. The result is 5x more projects per FTE compared to a non-AI developer, 20% faster project schedules, and 10-15% lower total project costs. \r\n\r\nWe're *not* long term property owners, strictly the service provider (fee/merchant developer).\r\n\r\n$160B was deployed into multifamily in 2025 and $534B into commercial real estate overall. Developers naturally have high operating margins and we are building to be the most operationally and capital efficient developer in the country. \r\n\r\nStarting first with multifamily in Phoenix and then expanding nationally. ", "one_liner": "Like Crosby, but for real estate development", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1790618614, "tags": [ "Hard Tech", "Real Estate", "Housing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/habu", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/habu.json", "year_founded": 2026, "city": "Phoenix", "country": "US", "linkedin_url": "https://www.linkedin.com/company/buildhabu/", "x_url": "https://x.com/BuildHABU", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/afbe75a6c02bccd51c23fca509a7ba3de70f6920.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1280882, "full_name": "Bryan Tharalson", "title": "Founder/CEO", "founder_bio": "CEO/Cofounder at HABU, building AI-native real estate development. Previously a multifamily developer managing $80M+ of build-to-rent and commercial. Top-ranked grad in the Master's of Real Estate Development program from ASU. Before that, long career in sales & GTM leadership, ee#5 and sales hire#1 at Mutiny (YC '18). Double undergrad of economics and sustainability. Started first company at age 23 doing environment remediation (redeveloping brownfield sites). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryantharalson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f526c2f44aff332100f7004be408e66792213b9.jpg" }, { "user_id": 680227, "full_name": "Junhao Chen", "title": "Founder/CTO", "founder_bio": "CTO/Cofounder at HABU, building AI-native real estate development. Previously at Meta, where I led an internal AI Ops Solutions team working across global operations, product, and policy, building systems that improved how Meta sourced, measured, and scaled data for AI products. Before that, worked in technology consulting at Accenture and managed aviation logistics and operations in the U.S. Navy. Immigrant, Navy veteran, and first-generation college graduate.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/junhchen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/31bca6d5626d235ffeffe6da227e18cc6d89dec4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117228, "title": "HABU - The AI-Native Real Estate Developer", "tagline": "We build apartment buildings 20% faster and 15% cheaper by running the entire development process on AI", "body": "Hello, World 👋 We're **Bryan** and **Jun**, co-founders of **HABU**.\n\n**TL;DR:** HABU is an AI-native real estate development firm that helps real estate investors deploy capital to build housing faster, at lower cost, and with higher yield. \n\nInstitutional Investors (investment firms, family offices, high-net-worth individuals) hire us to find land, construct an apartment building, operate it and then sell it. Every step of that process runs on an AI operating system we built ourselves instead of the legacy process of Excel files, PDFs, emails, and a surprisingly high amount of manual knowledge work that the rest of the industry still uses.\n\nWe are **the developer**. Not a SaaS product. The actual developer. We work for institutional investors to go build physical assets and we get paid to do it on their behalf.\n\n\n\n**🏗️ What a developer actually does**\n\nReal estate development has historically been an opaque industry and generally not well understood. Here’s how it works. White-collar investors like investment funds, private equity, family offices, etc., deploy about **$160B a year** into multifamily projects. They can either buy one that already operates (—> call a broker) or build a new one from the ground up (—> call a developer). A developer finds the land, gets the permits, hires the architect and builder, manages construction, and delivers a finished building.\n\nThat’s where we fit in. HABU is not a software product for developers. **We are the developer.** \n\n**❌ The Problem**\n\nNew housing has never been slower or more expensive to build. The high cost of new housing increases everyone's cost of living while also making it hard to finance a project. \n\nA single apartment project involves 700+ discrete internal tasks and over 1,000+ hours of manual desk work: pulling data from a dozen public databases by hand, calling brokers, architects, engineers, and lawyers for quotes, and tracking it all in spreadsheets, word docs, and even physical paper.  \n\nThe biggest technological jump for commercial real estate over the past 40 years was Excel. Seriously, Excel! \n\n**🤖 How HABU works**\n\nWe built an internal AI-native operating system that completes projects up to 10-20% faster, lowers total project costs by 10-15%, and lets us manage 5x more projects per development manager. The end-to-end process is automated and autonomously ran:\n\n![uploaded image](/media/?type=post&id=117228&key=user_uploads/1280882/4abab095-10ec-442f-8d93-b2fd3cd8bfbb)\n\n**💵 We are not long term property owners**. Just the service provider. That keeps us extremely capital light, operationally efficient, and lets us scale in a way that legacy developers could never do.\n\n**👫 The Team**\n\n**Bryan**- worked on $310M+ of projects (industrial, datacenter land, and mostly multifamily). Top-ranked grad in the Master’s of Real Estate Development (MRED) program at ASU. Long career in sales leadership at VC-backed startups like Mutiny: employee #5, raised $75M from YC, Sequoia, Insight, Tiger Global, Cowboy Ventures, Uncork, etc. Started first company at age 23 redeveloping brownfield sites and environmental remediation. Double-undergrad of Economics and Sustainability. \\\n**Jun** spent 4.5 years at Meta building AI data systems used across global operations and product teams. Previously managed aviation logistics and complex supply chains in the U.S. Navy and led enterprise transformation work at Accenture. Technical builder with experience taking AI products from 0 to production. M.S. in Analytics. Immigrant, Navy veteran, and first gen college graduate.\n\n**🙏 Our Ask**\n\n* Know an investment firm, family office, or high-net-worth individual (founders, VCs, executives) looking to invest in real estate? Introduce us.\n* Own land in Phoenix? Let's talk.\n* Interested in working for HABU and building the future of buildings? Hit up Bryan or Jun!\n\n👉 [www.buildhabu.com](http://www.buildhabu.com)", "url": "https://www.ycombinator.com/launches/UUm-habu-the-ai-native-real-estate-developer", "votes": 8, "created_at": "2026-09-29T18:00:00.173Z" } ] }, { "id": 37566, "name": "The Agentic Data Co.", "slug": "the-agentic-data-co", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/72ebbcacfd48c52bf6fc298c17ddf035a00bbc08.png", "website": "https://theagenticdatacompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "We design and collect audio datasets for training speech models.", "one_liner": "Training Data For Speech Models.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1788964517, "tags": [ "AI", "Conversational AI", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/the-agentic-data-co", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/the-agentic-data-co.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/theagenticdataco/", "x_url": "https://x.com/agenticdataco", "fb_url": null, "cb_url": null, "github_url": "https://github.com/The-Agentic-Data-Co", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/72ebbcacfd48c52bf6fc298c17ddf035a00bbc08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 736135, "full_name": "Christian Vestergaard", "title": "Co-Founder", "founder_bio": "Co-founder of The Agentic Data Company.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chrisvestergaard/", "x_url": "https://x.com/CVestergaard_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b7c98c539ead059320476be40f4613119e293e8.jpg" }, { "user_id": 3402778, "full_name": "Matias Voldby Drejer", "title": "Co-founder", "founder_bio": "Co-Founder at The Agentic Data Company. Prev. Head of Growth & Ops at Female Invest (S21).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matiasdrejer/", "x_url": "https://x.com/matiasdrejer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae175fc5bc0b93d49ea06bf770fb6a53f4fbc2eb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37600, "name": "Redoubt Insurance", "slug": "redoubt-insurance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ee4cc24084cdd9a8a0fe0d70982248244d6fd3a.png", "website": "https://www.redoubt.insure", "all_locations": "Salt Lake City, UT, USA", "long_description": "Redoubt is a commercial insurance agency for small businesses. We believe our customers are our most important business partners, and they deserve our full attention. Machines can already handle the boring parts, the next step is to continually learn from experience. ", "one_liner": "Commercial insurance for small businesses", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1787707764, "tags": [ "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/redoubt-insurance", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/redoubt-insurance.json", "year_founded": 2026, "city": "Salt Lake City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/redoubt-insurance/", "x_url": "", "fb_url": "https://www.facebook.com/profile.php?id=61591630963138", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ee4cc24084cdd9a8a0fe0d70982248244d6fd3a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 801143, "full_name": "Andre Beukers", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Redoubt Insurance, fanatic about building intelligent systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andre-beukers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0e0be126fe9f6f88bf03d07f9b56a70f2eb0d9b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37601, "name": "Lark", "slug": "lark-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/658417946c5809d1681eb90f9636442c2526cc5c.png", "website": "https://larkagents.com", "all_locations": "San Francisco, CA, USA", "long_description": "Lark deploys AI agents that automate manual workflows for wholesale distributors, everything from customer quotes to inventory managment. Our agents work with existing ERP systems, learning from each distributor’s historical data and the team’s decisions. Together, these agents can run a distributor’s entire operation.", "one_liner": "Lark - AI agents that automate workflows for wholesale distributors", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1789595493, "tags": [ "B2B", "Supply Chain", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/lark-2", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/lark-2.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/larkagents/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/658417946c5809d1681eb90f9636442c2526cc5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3433862, "full_name": "Jason Wang", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Lark (F26). Prev founded Datost (backed by YC) grew ARR to 400k in 8 weeks. Prior, I built agentic systems for the industrial supply chain at Traba and worked on the Flink control plane at Confluent. Graduated from University of Toronto, degree in computer engineering with double minor in AI and Business ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jasonhy-wang/", "x_url": "https://x.com/jasonhywang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7d88ac1e0485e69fabb44b993b739952ccefa18.jpg" }, { "user_id": 3950020, "full_name": "Michael Wang", "title": "Co-Founder", "founder_bio": "Co-Founder of Lark (YC F26). NYU Stern dropout. Previous team Canada Badminton player and ranked top 3 nationally for a lot of years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-wang-40061923b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b8dee888068ee6b615592b41f74a52459cd568e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37732, "name": "Hundred", "slug": "hundred", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.png", "website": "http://hundred.systems/", "all_locations": "San Francisco, CA, USA", "long_description": "Hundred is an automated inspection system for the components that make up consumer devices like phones, smartwatches, and laptops. Hundred helps factories cut waste and prevent line-down issues by catching sub-millimeter cosmetic defects before parts reach the assembly line. \r\n\r\nIn the consumer electronics industry, designs change so fast that traditional machine vision can't keep up, forcing factories to rely on manual inspection, literally people checking parts under microscopes to sort out bad parts. Human inspectors miss roughly 15% of defects, and a single bad part can turn a finished device into scrap. Hundred is replacing manual inspection with an imaging rig that scans an entire shipping tray of parts at once. \r\n\r\nThe Hundred rig blocks ambient light and uses varied controlled lighting configurations to detect defects smaller than 100µm on a range of materials. The controlled environment means Hundred only needs to scan a single good part before it can find defects, categorize them, and assess their severity accurately.\r\n\r\nDefects cost U.S. discrete manufacturers $45 billion a year, a problem Hundred's CEO, Erica, saw firsthand as a mechanical engineer designing devices at Meta, Google, and Magic Leap. She met Imani, Hundred's CPO, at Columbia University's admitted-students day in 2017 and Imani went on to spend five years at Twitch building software that handles billions of requests a day. Erica later met Iris, Hundred's CTO, in the Bay Area. Iris worked as a quant at Citadel before pivoting to study at Imperial College London where she researched machine learning on 3D meshes and other structured data. Together, they're building Hundred because manual inspection shouldn't still exist in 2026.", "one_liner": "100% automated inspection for consumer electronics parts", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1790785673, "tags": [ "Hard Tech", "Hardware", "Machine Learning", "Computer Vision", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/hundred", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/hundred.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hundred-systems-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f26995d92445a7e77c0839448bb04ca0c89f08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3535016, "full_name": "Erica Diaz", "title": "Founder/CEO", "founder_bio": "Erica is co-founder and CEO of Hundred (YC F26).\nPreviously spent 5.5+ years at Meta, Google, and Magic Leap designing hardware for consumer electronics, and resolving issues on the ground with vendors in China and Mexico.\n\nColumbia University, BS Mechanical Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erica-diaz1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ec31907973b972abef2c8b6371b1ae58f453c85.jpg" }, { "user_id": 317644, "full_name": "Imani Gosserand", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO of Hundred (YC F26).\nPreviously Software Engineer at Twitch working at the intersection of notifications, short-form content, and ML.\n\nBS Computer Science from Columbia University", "is_active": true, "linkedin_url": "https://linkedin.com/in/imani-gosserand-804a10175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21384b93ca0a4b32ae2f6ed591a1d96b794799e0.jpg" }, { "user_id": 4149004, "full_name": "Iris Liao", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Hundred (YC F26).\nPreviously Quantitative Researcher at Citadel.\nSpent the last year researching machine learning methods on 3D meshes and other structured data. \n\nMSc Applied Mathematics, Imperial College London\nBA Mathematics, Columbia University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iris-liao-03b041152", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8c56193fe88be22d7e68840f5171512f9f41919.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37830, "name": "Tilo", "slug": "tilo", "former_names": [ "Podesta AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ee5f7b68452b3800941d6ce5bfbfacd28c318f2.png", "website": "https://tilo.so", "all_locations": "San Francisco, CA, USA", "long_description": "Tilo is a Linux-based operating system built for AI agents to work alongside people. On Tilo, computer use is up to 10,000x cheaper than on a normal OS.\r\n\r\nToday agents use computers the way people do. They take screenshots and click through apps, which is slow, expensive, and brittle. In Tilo, every app exports actions, so agents work over MCP while people use the UI. You still see what each agent does in your apps, and anything it changes can be undone.\r\n\r\nAny number of people and agents can work in one workspace in real time, across apps. Tilo runs as your OS, in our cloud, or headless on your machine, and you can open and share any workspace from the browser.", "one_liner": "A Linux-based, AI-native operating system.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1792039962, "tags": [ "AIOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "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/tilo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/tilo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://code.tilo.so/tilo", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ee5f7b68452b3800941d6ce5bfbfacd28c318f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Grey Baker", "url": "https://www.ycombinator.com/people/grey-baker" }, "founders": [ { "user_id": 3674518, "full_name": "Xaver Emmerling", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Tilo (YC F26). 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MS Business Administration from TU Dresden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matty-driesnack/", "x_url": "https://x.com/MattyDriesnack", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03cd305c416d6b285b67fb6e178047263253fb7d.jpg" }, { "user_id": 3682410, "full_name": "Felix Kelm", "title": "Founder/Engineering", "founder_bio": "Founder/Engineering at RATLOG. Previously Electronics Lead at Innuendo, building an air-breathing cruise missile powered by a rotating detonation engine. Developed PCB since age 16. Electrical Engineering at TU Dresden and Telecommunication at INSA Lyon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felix-kelm-666a00407/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98f173382ff29f29da37dec1c79babddafe8b170.jpg" }, { "user_id": 3682444, "full_name": "Paul Kunhart", "title": "Founder/CTO", "founder_bio": "Founder/CTO at RATLOG (YC F26). Designed rocket engine nozzles for ESA's Argonaut lunar lander at Technical University Dresden's Aerospace Institute. Previously co-founded Innuendo, leading engine design on an air-breathing cruise missile powered by a rotating detonation engine. Studying Aerospace Engineering at TU Dresden.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paul-kunhart-577266392/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b491647c0e51e6d70592ca9d0b3c7bbce37073c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122077, "title": "RATLOG: Reusable heavy-lift rockets powered by an engine with 90% fewer parts", "tagline": "First engine hot-fired in 4 months for under $30K. $400M in launch reservations signed.", "body": "𝗧𝗟;𝗗𝗥: Launch capacity is becoming a bottleneck, so we at RATLOG are 𝘁𝗮𝗸𝗶𝗻𝗴 𝗼𝗻 𝗦𝗽𝗮𝗰𝗲𝗫 with reusable heavy-lift rockets powered by an engine designed to use 𝟵𝟬% 𝗳𝗲𝘄𝗲𝗿 𝗽𝗮𝗿𝘁𝘀 than conventional designs. We built and successfully hot-fired our first engine in 𝗷𝘂𝘀𝘁 𝗳𝗼𝘂𝗿 𝗺𝗼𝗻𝘁𝗵𝘀 and have signed reservation agreements worth $𝟰𝟬𝟬𝗠. Now we are printing an engine with 𝟮𝟬𝟬𝘅 𝘁𝗵𝗲 𝘁𝗵𝗿𝘂𝘀𝘁 for a hot fire in November. If you’re a satellite operator, [reach out to us asap](https://calendar.app.google/xPzyR7iHmEJ3Gt116)**.**\n\n\t\n\n𝗣𝗿𝗼𝗯𝗹𝗲𝗺\n\nSatellite operators need to put more mass into orbit than ever, but an available launch slot can be 𝟯–𝟰 𝘆𝗲𝗮𝗿𝘀 𝗮𝘄𝗮𝘆 and cost up to $𝟭𝟱,𝟬𝟬𝟬 𝗽𝗲𝗿 𝗸𝗶𝗹𝗼𝗴𝗿𝗮𝗺. Every delay pushes back the start of operations and revenue.\n\nAs satellite constellations grow and new projects like space stations and orbital data centers take shape, customers need more launch capacity and more options.\n\nAs one European launch broker put it: “𝗜𝘁’𝘀 𝗴𝗼𝗹𝗱 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄 𝗶𝗳 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝗮 𝘀𝗹𝗼𝘁.”\n\n𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻\n\nWe’re building 𝗿𝗲𝘂𝘀𝗮𝗯𝗹𝗲 𝗵𝗲𝗮𝘃𝘆-𝗹𝗶𝗳𝘁 𝗿𝗼𝗰𝗸𝗲𝘁𝘀 𝘁𝗼 𝗰𝗮𝗿𝗿𝘆 𝗽𝗮𝘆𝗹𝗼𝗮𝗱𝘀 𝗼𝗳 𝘂𝗽 𝘁𝗼 𝟮𝟬 𝘁𝗼𝗻𝗻𝗲𝘀, powered by an engine architecture that aims to use 𝟵𝟬% 𝗳𝗲𝘄𝗲𝗿 𝗽𝗮𝗿𝘁𝘀 than conventional designs.\n\nWe’ve 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲𝗱 𝘁𝗵𝗲 𝘁𝘂𝗿𝗯𝗼𝗽𝘂𝗺𝗽 by using a different method to pressurize the propellants and developed a **new rocket engine cycle** around it.\n\nThis simpler architecture reduces manufacturing complexity and cost, while reusability spreads the cost of the hardware across multiple flights.\n\nThink of it as a 𝗯𝘂𝘀 𝘁𝗼 𝘀𝗽𝗮𝗰𝗲: customers book capacity on a shared flight and pay by the kilogram.\n\n**Team**\n\nCharlie and Paul met through mutual interest in rotating detonation engines for cruise missiles and started a club, then met Felix and Matty.\n\n![uploaded image](/media/?type=post&id=122077&key=user_uploads/3173499/08b61f2e-5027-4a5d-912e-96e7381e9cd3)\n\nFrom left to right\n\n* 𝗙𝗲𝗹𝗶𝘅 𝗞𝗲𝗹𝗺, Chief Avionics Officer: Developed PCB designs since the age of 16.\n* 𝗖𝗵𝗮𝗿𝗹𝗶𝗲 𝗪𝗲𝗶𝘀𝗲, Chief Executive Officer: Previously worked on ESA's Argonaut Moon Lander and space telescope.\n* 𝗠𝗮𝘁𝘁𝘆 𝗗𝗿𝗶𝗲𝘀𝗻𝗮𝗰𝗸, Chief Operating Officer: Founding team at Lio (YC S23, a16z), working closely with CEO and COO.\n* 𝗣𝗮𝘂𝗹 𝗞𝘂𝗻𝗵𝗮𝗿𝘁, Chief Technology Officer: Designed rocket engine nozzles for ESA's Argonaut lunar lander.\n\n**Traction**\n\n* Signed reservation agreements worth $𝟰𝟬𝟬𝗠.\n* Built and successfully hot-fired our first rocket engine in 𝗷𝘂𝘀𝘁 𝗳𝗼𝘂𝗿 𝗺𝗼𝗻𝘁𝗵𝘀.\n* Spoken with 𝟳𝟬+ 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗹𝗮𝘂𝗻𝗰𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀.\n\n**Ask**\n\n* If you’re building satellites, space stations, or orbital data centers, we’d love to discuss your launch plans. Book a meeting [here](https://calendar.app.google/xPzyR7iHmEJ3Gt116) or reach us at [charlie.weise@ratlog.space](mailto:charlie.weise@ratlog.space).", "url": "https://www.ycombinator.com/launches/Vkz-ratlog-reusable-heavy-lift-rockets-powered-by-an-engine-with-90-fewer-parts", "votes": 3, "created_at": "2026-10-15T15:00:00.047Z" } ] }, { "id": 38061, "name": "Maritime", "slug": "maritime", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8ff801ef7e9094077a292c8bed3e86ce7e01f00.png", "website": "https://maritime.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Maritime is a fully managed cloud platform for startups selling AI agents. We help them run thousands of agents, each in its own isolated, persistent computer, starting at $1 per agent per month, with all underlying infrastructure, scaling, sleep/wake, and monitoring handled automatically.", "one_liner": "The managed cloud for AI agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1788209179, "tags": [ "Developer Tools", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maritime", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/maritime.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maritimeai", "x_url": "https://x.com/maritime_sh", "fb_url": null, "cb_url": null, "github_url": "https://github.com/maritime-sh", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8ff801ef7e9094077a292c8bed3e86ce7e01f00.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3118952, "full_name": "Maria Gorskikh", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO at Maritime. Previously a visiting lecturer at MIT and researcher at NANDA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mariagorskikh/", "x_url": "https://x.com/mariagorskikh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33a982ecd7c7aa7e52ba5b21b3a7240ee0881408.jpg" }, { "user_id": 2682745, "full_name": "Aryaman Shrivastava", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Maritime (YC F26). Prev researcher at MIT NANDA Lab on AI agent coordination at scale. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/aryshriv", "x_url": "https://x.com/AryShriv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fd69dca86a8ca1c88e42dea655277268f3e64e4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 120824, "title": "Maritime: Fully managed cloud for running AI agents at scale", "tagline": "Run millions of agents, each on its own isolated, persistent VM.", "body": "Hi everyone, we’re Maria and Ary, founders of [Maritime](https://bookface.ycombinator.com/company/38061) (YC F26).\n\n**TL;DR:** Maritime is a fully managed cloud platform for running millions of AI agents, each on its own isolated, persistent VM.\n\n\n\n**Why we built Maritime** \n\nWe believe we’re heading toward a world with billions of AI agents. Everyone will have agents working for them, and businesses will run entire teams of AI employees. A new generation of startups will build and sell these agents, giving every customer one of their own.\n\nWe started working on Maritime when OpenClaw was released. Now, with dots, Instinct, Grok Bot, and Muse, that future is taking shape. We saw the infrastructure challenge firsthand while hosting hundreds of agents during our research at MIT. Even at that scale, our time went into getting environments running, maintaining them, and debugging individual agents.\n\nRunning billions of agents will require infrastructure that lets developers give each one a persistent computer and manage entire fleets with ease. We’re building Maritime to make that possible, so any startup can launch an agent product, give every customer their own agent, and scale it to millions in no time.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/6772cfd5-737c-4278-8a02-ec3793cb070b)\n\n**What Maritime does**\n\nMaritime gives every agent a persistent computer and manages the infrastructure around it:\n\n* **An isolated VM for each agent.** Run code, install software, and use a browser.\n* **Pricing built for scale.** Hosting starts at $1 per agent per month, making it practical to give every customer their own persistent computer and grow your fleet as your product grows.\n* **Persistence between tasks.** Keep files, memory, installed software, and logins so agents can pick up where they left off.\n* **Tools to manage individual agents.** Inspect, debug, and fix each customer’s agent directly.\n* **Different environments for different workflows.** Choose Linux computers, Windows desktops, or virtual Android phones based on the software and apps your agents need.\n\nYou can run your agent code inside a Maritime VM, or keep your agent on your existing backend and use MCP to let it control a Maritime computer.\n\n![uploaded image](/media/?type=post&id=120824&key=user_uploads/3118952/db071ab8-94f8-4245-9de8-f574cc2aba1d)\n\n**Who it’s for**\n\nTeams building and selling AI employees, personal assistants, and other products where every customer has an agent of their own.\n\nWe want founders to focus on building and growing their products, with Maritime managing the infrastructure to run them.\n\n**Our ask**\n\n* **Try Maritime:** Host three agents for free at [maritime.sh](http://maritime.sh). Hosting starts at $1 per agent per month.\n* **Introduce us:** If you know teams building and selling agents, especially those deploying a separate agent or computer for every customer, please comment or connect us.", "url": "https://www.ycombinator.com/launches/VQm-maritime-fully-managed-cloud-for-running-ai-agents-at-scale", "votes": 23, "created_at": "2026-10-09T19:00:00.166Z" } ] }, { "id": 38094, "name": "Super Powers Mobility (SPM)", "slug": "super-powers-mobility-spm", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "website": "https://www.spm.fun", "all_locations": "Pittsburgh, PA, USA", "long_description": "We started off building 470V high voltage electric off-road vehicles but we realized our ultra power dense battery packs are useful for mobile and stationary energy storage and power export, for military and consumer use cases. We develop battery packs, power electronics, and traction powertrain systems for vehicles.", "one_liner": "Modular battery packs for mobility/vehicles", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1788100804, "tags": [ "Energy Storage", "Unmanned Vehicle", "Electronics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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": null, "url": "https://www.ycombinator.com/companies/super-powers-mobility-spm", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/super-powers-mobility-spm.json", "year_founded": 2023, "city": "Pittsburgh", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superpowersmobility", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a5c35648a3ac00d7da1ce27b5b0a62372c6a5f2e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Charlie Warren", "url": null }, "founders": [ { "user_id": 1979736, "full_name": "Jonathan Powers", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Super Powers Mobility (YC F26). Previously Senior Mechanical Design Engineer at Tesla, leading Cybertruck architecture integration including drive units, structures, exterior surfaces, occupant seating, low and high voltage distribution routing, and safety systems. Earlier lead brake system on electric vehicle development at Workhorse and powersports design at Honda R&D. MS & BS in Mechanical Engineering, MBA from Pitt. Also was a pro off-road racer during college. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathancpowers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/785f983ba364140a70ee62f55b77dbfb3babfe1c.jpg" } ], "jobs": [], "news": [ { "title": "Pittsburgh startup pitches EV kit to elite troops", "url": "https://defence-blog.com/pittsburgh-startup-pitches-ev-kit-to-elite-troops/", "date": "Jul 18, 2026" } ], "launches": [] }, { "id": 38127, "name": "DeepMark", "slug": "deepmark", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dfcb45ad1cf6b4da58c1a44a770eb98ac4ec79b.png", "website": "https://www.deepmark.me", "all_locations": "San Francisco, CA, USA", "long_description": "DeepMark is the authentication layer for AI voice. When an AI agent speaks, we embed a compact, machine-readable ID directly into the audio, not in metadata, which gets stripped the moment a file is touched. The ID resolves to a trust record, so a bank, a call center, or the person on the line can verify in real time who the agent is.", "one_liner": "A live watermark inside AI voice that survives phone calls", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1789029188, "tags": [ "B2B", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 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/deepmark", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/deepmark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deepmark-me/", "x_url": "https://x.com/deepmark_me", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/deepmark-inc", "github_url": "https://github.com/deepmark", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4dfcb45ad1cf6b4da58c1a44a770eb98ac4ec79b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Max Kolysh", "url": null }, "founders": [ { "user_id": 2023960, "full_name": "Slavko Kovačević", "title": "Founder/CEO", "founder_bio": "Founder/CEO at DeepMark (YC F26). PhD candidate in Computer Science. Cited by Meta, Microsoft, Sony, and Adobe.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/slavkokovacevic/", "x_url": "https://x.com/realslavko", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de19c1d8562fd357c3a264bee57209047824e480.jpg" }, { "user_id": 2547276, "full_name": "Kosta Pavlović", "title": "Founder/CSO", "founder_bio": "Founder/CSO at DeepMark (YC F26). PhD in Computer Science. Pioneer of learning-based digital audio watermarking.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kosta-pavlovic", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/283edba47bb01fec63f8e445013165464636ab64.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 116233, "title": "DeepMark - Reinventing Trust in Voice", "tagline": "A live watermark inside AI voice that survives phone calls", "body": "\n\nHey, we are Slavko and Kosta 👋\n\nWe have been working together for six years, first as two researchers at the University of Montenegro, now as founders. Somewhere along the way, we became best friends. Kosta is our CSO, and I am the CEO.\n\n**The problem**\n\nVoice is uniquely vulnerable to impersonation. A few seconds of audio is enough to clone anyone, and the same voice agents that answer a bank's phone can be turned around and pointed at the bank's customers. People have started to hesitate before picking up. Good technology scales good outcomes, and it scales bad ones just as well. Our job is simple. Restore trust in voice.\n\n**What we built**\n\nDeepMark is real-time audio watermarking for AI voice. When an AI agent speaks, we put a certificate inside the sound itself, on the voice company's side, as the voice is being generated. Not metadata, which gets stripped the moment a file is touched. The certificate becomes part of the voice.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/b3239118-82c1-4fb4-82c2-f4363685a0be)\n\nThen the voice goes out into the real world, and the real world is rough on audio. Compression, codecs, a bad connection, a cheap speaker, a worse microphone. Think about how flat a human voice sounds over the phone. Our certificate survives the trip. On the other end, a phone, a call center, or an API reads it and shows who is speaking, who issued the certificate, and whether this agent is allowed to be on the line. Detectors ask whether audio is fake. We answer who is authorized to speak.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/171abdf5-efb9-442b-a153-dbbb1ba981d4)\n\n**Why this is hard**\n\nFour things have to hold at the same time. It has to be real time, or a phone call makes no sense, and voice companies already fight for every millisecond. It has to leave the audio quality alone, nobody trades a worse voice for a safer one. It has to survive the phone line. And the ID has to be long enough, because the longer the ID, the more certificates we can issue. A watermark that works beautifully in the lab falls apart the moment audio meets a phone line. And a live call has no file to sign. Nothing survives the trip except the sound itself, so the identity has to live inside the sound. We spent years hitting that wall. Then we built a tool that measures all four at once and published it, so anyone can check our work, and everyone else's.\n\n![uploaded image](/media/?type=post&id=116233&key=user_uploads/2023960/a9930538-1deb-4609-8938-4bdbcf8c88ce)\n\n**How we got here**\n\nOur mentor, who did his PhD in digital watermarking, told us not to bother. The field was saturated, nothing left to contribute. We were too stubborn to listen, and our learning-based approach turned out to be one of the first of its kind.\n\nKosta wrote his PhD on watermarking along the way. I am still writing mine! We published some of the earliest work in deep audio watermarking, cited by teams at Meta, Microsoft, Sony, and Adobe. This year our robustness benchmark landed in IEEE Access, and our AWARE paper was accepted at EUSIPCO. Before YC, we signed our first platform license with a leading voice AI provider, and it is now in production.\n\n**Our ask**\n\nWe want to meet voice AI companies. If you build voice models, book 20 minutes with us and we will run DeepMark on your own audio, so you can see the mark survive your calls. The EU AI Act's marking rules already apply and the 2 December deadline for systems on the market is close, so this is a good month to talk. If you know someone at a voice AI platform, an intro means a lot to us.\n\n[slavko@deepmark.me](mailto:slavko@deepmark.me), or book a demo at [deepmark.me](http://deepmark.me). Thanks for reading. 🇲🇪 → 🌉", "url": "https://www.ycombinator.com/launches/UEj-deepmark-reinventing-trust-in-voice", "votes": 29, "created_at": "2026-09-22T16:00:00.415Z" } ] }, { "id": 38391, "name": "Boxes.dev", "slug": "boxesdev", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9949c6b8484314fd6471d7e95c251af659528195.png", "website": "https://boxes.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Port your development environment to the cloud. 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Previously Head of Operations at H3X Technologies. Spent 4+ years at Boom Supersonic, rising from Aircraft Technician to Director of Aircraft and Production Operations for the XB-1 supersonic demonstrator. Led avionics, flight test, and manufacturing. BS in Mechanical Engineering from Oakland University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cjpalazzolo/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eaec462025ae167d9bbb41d77ac9fac1a28f97be.jpg" } ], "jobs": [], "news": [], "launches": [] } ]