[ { "id": 26144, "name": "MSPilot", "slug": "mspilot", "former_names": [ "Personabo", "EasyCode (Formerly Personabo)", "EasyCode", "OpenBuilder" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af6da8314f45312f4d972daa5d200eefd67b2ec8.png", "website": "https://mspilot.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Make AI your next recurring revenue line.\r\n\r\nMSPilot helps Managed Service Providers deploy, govern, and monetize AI agents across their entire client base. Author an agent once, roll it out to your whole book, and bill for every token - with markup.", "one_liner": "Turn AI adoption into a recurring revenue line.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1680284500, "tags": [ "Generative AI", "B2B", "No-code", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mspilot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/mspilot.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mspilot", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af6da8314f45312f4d972daa5d200eefd67b2ec8.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": 690363, "full_name": "Paul Li", "title": "Founder", "founder_bio": "Paul is a three time founder. CS @ UWaterloo.\nPreviously shipped coding extensions to 1.5M developers. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hey-paul/", "x_url": "https://x.com/PaulTheLi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0d7413beeb4dafe34f215ef59323ff88d60ac1f.jpg" }, { "user_id": 693712, "full_name": "James Jiang", "title": "Founder", "founder_bio": "Unlocking human potential with AI\nSerial Entrepreneur\nEx-Amazon Software Developer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesdreamcrafters/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8999cbcac17d038841a4908688b5d8be254bce6.jpg" } ], "jobs": [ { "id": 98296, "title": "Founding Engineer - AI Infra (Hybrid, Lviv)", "url": "https://www.ycombinator.com/companies/mspilot/jobs/CuNpIm2-founding-engineer-ai-infra-hybrid-lviv", "location": "Lviv, Lviv Oblast, UA / Remote (UA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$60K - $100K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Nginx", "PostgreSQL", "Python", "React", "TypeScript", "Vector Databases", "AI Agents" ] }, { "id": 98618, "title": "Founding GTM Specialist - Hybrid, Ukraine/Poland", "url": "https://www.ycombinator.com/companies/mspilot/jobs/jPKyaEN-founding-gtm-specialist-hybrid-ukraine-poland", "location": "Lviv, Lviv Oblast, UA / PL / Remote (UA; PL)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$30K - $42K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 95336, "title": "OpenBuilder: Open source alternative to Lovable", "tagline": "Where vibe coders actually finish their projects. ", "body": "Hey YC, we are [Paul](https://www.linkedin.com/in/hey-paul/) and [James](https://www.linkedin.com/in/jamesdreamcrafters/), cofounders at [OpenBuilder](https://www.linkedin.com/company/openbuilder/). 👋\n\n### **TL;DR**\n\n**OpenBuilder is the open source alternative to Lovable — where non-technical builders actually finish their projects.**\n\nhttps://youtu.be/yVgGsf3nN44\n\n### 🔴 The Problem: vibe coding is a slot machine\n\n**Pay for credits, pull the lever, pray things work.**\n\nVibe coding has brought millions of non-technical users into building. But over 80% can't finish what they start. The magic fades as projects grow — bugs multiply, progress stalls, and builders get stuck\n\nThree core problems block non-technical builders:\n\n1. too expensive — costs spiral out of control\n2. too many bugs — issues pile up faster than they can fix\n3. getting help is nearly impossible — especially on closed platforms where backend/integration code is hidden\n\n![uploaded image](/media/?type=post&id=95336&key=user_uploads/690363/7a1df823-cdcf-4647-a6c4-6585daa3c4cf)\n\n### 🟢 The Solution:\n\n### At OpenBuilder, users build for free on a truly open platform, and pay to get unstuck from a real dev.\n\n**Vibe code without limits.**\n\nOpenBuilder uses optimized open-source models to match Claude Sonnet 4's performance—making building completely free.\n\n![uploaded image](/media/?type=post&id=95336&key=user_uploads/690363/cf0cf66d-a3da-4ef2-aa68-e1bf86fcd09b)\n\n**Pay to get unstuck.**\n\nOur interactive debugger helps you first. If that doesn't solve it, you can escalate to a real developer who already has your project context.\n\n![uploaded image](/media/?type=post&id=95336&key=user_uploads/690363/1be25b13-5159-4254-acd8-3ff15d2e8c9a)\n\n**Truly open platform, no lock-in.**\n\nOpenBuilder is truly open. It's built on VS Code, so you can swap in your own AI model, try different agents, or export your entire codebase anytime.\n\n### Team\n\nPaul & James have known each other for over 10 years. They met while studying CS at the University of Waterloo.\n\nBefore OpenBuilder, they built EasyCode — a popular context-aware coding assistant installed by over 1.5M developers between VS Code and JetBrains. Now they are applying similar technologies to help non-technical builders turn their ideas into reality.\n\n![uploaded image](/media/?type=post&id=95336&key=user_uploads/690363/c8743abd-9d52-49d6-bc36-2d17fe05fad7)\n\n### Ask\n\n**We're making building accessible to everyone. Non-technical founders shouldn't just start projects—they should finish and ship them.**\n\nHere is how you can help. 🙂\n\n* Follow us on [X](https://x.com/theopenbuilder) and [LinkedIn](https://www.linkedin.com/company/openbuilder/) and share the launch!\n* We're open sourcing our codebase soon. Want to contribute early? Email [paul@theopenbuilder.com](mailto:paul@theopenbuilder.com)\n\n![uploaded image](/media/?type=post&id=95336&key=user_uploads/690363/7c904f27-3027-481d-9d3f-aeee10be3e42)\n\n", "url": "https://www.ycombinator.com/launches/Ong-openbuilder-open-source-alternative-to-lovable", "votes": 60, "created_at": "2025-11-09T01:30:34.921Z" } ] }, { "id": 29161, "name": "Goldbridge", "slug": "goldbridge", "former_names": [ "Player One", "Story Quest", "StoryQuest", "Goldbridge", "StoryQuest" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d6bc2a399aaabb43bac34995b9a37125e0e1426.png", "website": "https://www.goldbridgebanking.com/", "all_locations": "", "long_description": "Goldbridge is building the financial operating system for the largest asset class in the world – real estate. More than $1T in rent flows through landlord bank accounts annually, with roughly a quarter locked in idle reserves and security deposits – and billions more leaking from unnecessary property expenses. And with $2.5T in real estate loans about to mature in 2027/28, property owners are desperate to boost their income ASAP. \r\n\r\nGoldbridge solves this problem by creating the first AI-powered banking platform for real estate owners. We are backed by Y Combinator and other world-class investors, and our founding team includes a 2x YC founder, former White House advisor, and 100-unit real estate owner/operator with deep industry expertise. Come help us redefine the future of real estate.", "one_liner": "Ramp for Real Estate", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1763193418, "tags": [ "Real Estate", "Finance", "Proptech", "Neobank", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "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/goldbridge", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/goldbridge.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/goldbridgebanking", "x_url": "https://x.com/trygoldbridge", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d6bc2a399aaabb43bac34995b9a37125e0e1426.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": 95578, "full_name": "Alvin Salehi", "title": "Founder/CEO", "founder_bio": "Alvin Salehi is a 2x YC founder and CEO of Goldbridge, the all-in-one financial platform for real estate owners. He's also the co-founder of Shef, a Series B marketplace that enables anyone to cook and sell food from home. Salehi previously served as Senior Technology Advisor at the White House, where he authored the country’s first federal open source software policy and spearheaded its regulatory enforcement. Salehi also co-founded Code.gov and is a Venture Partner at NextGen VP.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alvandsalehi", "x_url": "https://x.com/alvinsalehi_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88f4952ce02c85916f2d3f52626af96bc7a6209b.jpg" }, { "user_id": 1476984, "full_name": "Greg Rami", "title": "Founder", "founder_bio": "Greg Rami is the Co-Founder of Goldbridge, the all-in-one financial platform built for real estate owners. With a broad engineering background spanning Android and iOS native development, web and backend systems, while leading teams at high-growth companies. He also brings training and practical experience in machine learning and data visualization from work at the NIST and NIH. Greg holds dual master's degrees in Computer Science and Business Management.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gregrami", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63e203577934eb66e97525d7594dba8380397c26.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95598, "title": "Goldbridge – Ramp for Real Estate 🏠", "tagline": "The all-in-one financial platform for real estate owners. Banking + intelligence + automation, custom-built for property owners & operators.", "body": "**Tl;dr:** We can increase a real estate owner’s property values by 20 percent in less than three months. We already have thousands of units on board and just signed a strategic partnership deal with a company that puts us in front of 8M units in 2026.\n\nWe’re [Alvin](https://www.linkedin.com/in/alvinsalehi/) & [Greg](https://www.linkedin.com/in/gregrami/) and we’re the founders of [Goldbridge](https://www.goldbridgebanking.com/). Alvin’s first YC company, Shef (W19), is a homemade food marketplace that helped change state laws across the country so that people could legally cook and sell food from home. They raised over $100M, scaled Shef nationally, and built it into a Series B company that continues to grow rapidly across the country.\n\nNow we’re building Goldbridge, the financial operating system for real estate – and we built it from the ground up based on our personal experience owning and operating residential properties.\n\n**THE PROBLEM**\n\nOver **$1 trillion** **of rent** flows through landlords’ bank accounts every year, and nearly 25% of it sits idle in reserves and deposits. In other words, **real estate banking is fundamentally broken**:\n\n* Traditional banks don’t understand real estate cashflows\n* Property management systems don’t handle money movement, treasury, or yield\n* Operators juggle multiple bank accounts, spreadsheets, and manual reconciliations\n* Billions are lost every year in missed yield, overpayments, and operational inefficiencies\n\nThis is one of the largest underserved financial categories in the country.\n\n**WHY WE BUILT GOLDBRIDGE**\n\n![uploaded image](/media/?type=post&id=95598&key=user_uploads/95578/286eb9a4-254e-43a5-b09c-1e451fbb85ce)\n\nAs the son of immigrants, Alvin grew up in a motel and helped his parents manage properties growing up. Now he owns 81 units in the Bay Area, and he’s personally experienced how painful it is to manage property finances once you hit mid-market scale (50+ units).\n\nBy modernizing his banking stack, renegotiating contracts, appealing his property tax bills, applying for government rebates, optimizing maintenance spend, and restructuring rent collections, Alvin took his 81-unit portfolio from **–2% burn → +36% cashflow in just a few months.**\n\nWe’ve now replicated this for other property owners, and the patterns are universal.\n\n**OUR SOLUTION**\n\n![uploaded image](/media/?type=post&id=95598&key=user_uploads/95578/de43ac4b-4268-4af9-8522-7410002f340c)\n\n**1. Banking Built for Real Estate**\n\nHigh yield operating accounts, reserve accounts, and automated reconciliations across your entire portfolio of properties -- all under one FDIC-backed infrastructure.\n\n**2. Automated Savings & Earnings Optimization**\n\nGoldbridge automatically surfaces:\n\n* Property-tax reassessment opportunities\n* Vendor contract renegotiation opportunities\n* Government rebate and incentive programs\n* Utility bill errors\n* Idle cash yield optimization\n* Reserve allocation improvements\n\nBecause Goldbridge sits at the **banking + transaction layer**, we have access to data that is cleaner, richer, and more accurate than generic financial platforms. On top of that, we can actually move money for owners intelligently and safely rather than just highlighting the issues that need to be resolved and throwing the manual work back onto their plates.\n\n**WHY NOW**\n\n**1. A $2.5T Refi Wall Is Coming (2027–2028)**\n\nAn estimated $2.5 trillion in real estate loans will mature soon, which is making owners desperate to improve their property finances. They will need pristine financials, liquidity discipline, and real-time visibility into how their money moves.\n\n**2. LLMs Unlock Automation in a Data-Dense Industry**\n\nNeedless to say, real estate produces massive amounts of invoices, leases, utility bills, tax docs, contracts, rent rolls, and loan agreements. What previously took days to review and reconcile can now be done in minutes.\n\n**TRACTION**\n\nWe’re moving extremely fast. We already have **thousands of units** on board and just signed a strategic partnership deal with a company that puts us in front of **8M units** in 2026.\n\n**FOUNDERS**\n\n**Alvin Salehi (Co-Founder/CEO)**\n\n* 2x YC founder\n* Multifamily owner/operator (100+ units)\n* Co-founder of [Shef](https://shef.com/) (Series B)\n* Fmr Senior Tech Advisor @ White House\n\n**Greg Rami (Co-Founder/CTO)**\n\n* 15+ yrs eng experience with Data/ML/SWE; full stack + mobile native\n* Built parallel data processing for physics models @ NIST\n* Led engineering teams at high-growth companies\n\n**GET IN TOUCH**\n\nGoldbridge is building the financial OS for a trillion-dollar vertical. Drop us a line anytime if you’d like to chat – [**founders@goldbridgebanking.com**](mailto:founders@goldbridgebanking.com).", "url": "https://www.ycombinator.com/launches/Oru-goldbridge-ramp-for-real-estate", "votes": 22, "created_at": "2025-11-18T14:39:13.062Z" } ] }, { "id": 29763, "name": "Piggy Robotics", "slug": "piggy-robotics", "former_names": [ "RigManic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.png", "website": "https://piggyrobotics.com", "all_locations": "London, England, United Kingdom", "long_description": "We build humanoid robots that do your chores at iPhone prices. Just like the millions of cars generating data for self-driving, we need millions of humanoids generating real-world data for general-purpose robotics. Humanoid companies today can only manufacture hundreds a year because motors are expensive and slow to assemble. We use artificial muscles. Each muscle is just a tube wrapped in braided fibre, and the whole robot is powered by a single pump — which means we can mass-produce humanoids by the millions. Our design is built for that scale from day one and is cheap enough to enter billions of homes.", "one_liner": "Humanoid robots that do your chores for the price of an iPhone!", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1756389316, "tags": [ "Smart Home Assistants", "Robotics", "AI", "Home Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/piggy-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/piggy-robotics.json", "year_founded": 2024, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/piggy-robotics/", "x_url": "https://x.com/PiggyRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb8bcc76da3e91c1a436eea5e5eec4075f3deb89.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": 1476712, "full_name": "Richard Gong", "title": "Founder/CEO", "founder_bio": "Dropped out of medicine at Oxford to build humanoid robots for the home.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richard-g-15852b22b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81c7dc84e57f6a45dd2d098072df6cdf5c873de1.jpg" }, { "user_id": 3244838, "full_name": "Chenny (Qianyi) Deng", "title": "Founder", "founder_bio": "Founder @ Piggy Robotics (YC F25) ｜ PhD Candidate in Computer Science @ the University of Oxford ｜ Ex-Tencent AI researcher ｜ Founded the largest laser-tag arena in my city at age 13", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qianyi-deng/", "x_url": "https://x.com/Chenny_Deng33", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7b598f4ae3dd0f4dd4988e9c3e4e0bdb0fc577f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95684, "title": "Piggy Robotics - Humanoid robots", "tagline": "We built a mass-producible humanoid robot for less than $1000 in 2 months.", "body": "Hello! We’re [Richard ](https://www.linkedin.com/in/richard-g-15852b22b)and [Chenny](https://www.linkedin.com/in/qianyi-deng/), founders of Piggy Robotics. We build mass-producible humanoid robots that do your chores at iPhone prices.\n\nBelow is why our architecture is uniquely positioned to win the humanoid race:\n\n1\\. We built a **full-size**, **mass-producible** humanoid robot in **2 months**, complete with custom muscles, valves, and pumps for **less than $1000**. For comparison, other humanoid companies with hundreds of millions in cash spent years developing their actuators before touching a full prototype. We’re the most capital-efficient humanoid company, and we’re on track to catch up with incumbents that have far more capital within one year.\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\n2\\. **Mass production** must happen before **autonomy**. Tesla collects hundreds of thousands of hours of driving data per day from cars with basically 2 DoF. A humanoid has >50 DoF. To collect the same amount of data, you need >100K humanoid robots deployed. Existing humanoid companies can only produce a few hundred units per year. Our artificial muscles are far cheaper and simpler, meaning we can manufacture millions of humanoids and reach autonomy far sooner.\n\n️3. Only our humanoid at **iPhone prices** can **enter every home**. A household robot cannot be a 70kg, $20k metal beast. At that price point, adoption follows car-level economics. New cars mostly cost over $20k, and the entire world buys only around 75 million per year. But at $2k, adoption shifts into phone-level territory, where the world buys over a billion smartphones every year. Only an architecture built around cheap, simple-to-produce artificial muscles can reach phone-scale manufacturing quickly and make that future possible.\n\n**Team**\n\n[Richard ](https://www.linkedin.com/in/richard-g-15852b22b)studied **Medicine** at **Oxford University**, built AI systems for personalized cancer vaccines, and has a deep understanding of human anatomy and biomechanicsx—knowledge that is directly relevant to designing artificial muscles and full-body actuation.\n\n[Chenny ](https://www.linkedin.com/in/qianyi-deng/)trained AI models to read human motion—the foundational step for teleoperation and future autonomy—while doing her **PhD in Computer Science** at **Oxford University**. She previously worked on AI at Tencent. Fun fact: at age 13, Chenny built the largest laser-tag centre in her city.\n\nTogether, we spent a year inside factories deploying humanoid robots in real production environments.\n\nEven though Piggy Robotics is only a few months old, we’ve already assembled a **16-engineer elite hardware & software team** from **Oxford University** and **top global robotics competitions**. This combination of deep biomechanics, AI motion understanding, and hands-on factory deployment uniquely positions us to build the **first truly mass-producible humanoid robot**.\n\n![uploaded image](/media/?type=post&id=95684&key=user_uploads/89898/901840c8-864a-4d85-b82b-7ecf78a9b6b0)\n\n**Our Ask**\n\nIf our mission resonates and you want to ship humanoids with us, we’d love to connect: [founders@piggyrobotics.com](mailto:founders@piggyrobotics.com)", "url": "https://www.ycombinator.com/launches/OtI-piggy-robotics-humanoid-robots", "votes": 753, "created_at": "2025-11-21T17:31:10.408Z" }, { "id": 94076, "title": "Piggy Robotics: Humanoid robots that do your chores at iPhone prices.", "tagline": "Tesla promise robots for the price of a car. We will sell ours for the price of an iPhone. ", "body": "In **two months**, we built a **full humanoid** prototype with 22-degree-of-freedom **dexterous hands**, powered by our own custom **artificial muscles** for **less than $1000**!\n\n[Piggy Robotics F25 Launch](https://www.youtube.com/shorts/ty0fOJORnoc)\n\nCompared to electric-motor driven humanoids, ours are **softer**, **safer**, and delivers **higher strength-to-weight**. It will be **20x cheaper** enabling real-world AI training at scale.\n\n[Richard](https://www.linkedin.com/in/richard-g-15852b22b) trained AI to optimize cancer vaccines while studying **Medicine at Oxford University**. As a teen he scored **top 3 nationally** in the UK Intermediate Maths Olympiad.\n\n[Chenny](https://www.linkedin.com/in/qianyi-deng/) trained AI to read human motion while doing her **PhD in Computer Science at Oxford University**. At the **age of 13** she built the largest laser tag centre in her city!\n\n![uploaded image](/media/?type=post&id=94076&key=user_uploads/89898/2182c0f0-e665-410d-b83e-574bba525662)\n\n### Chat with us at: [founders@rigmanic.com](mailto:founders@rigmanic.com)", "url": "https://www.ycombinator.com/launches/OTM-piggy-robotics-humanoid-robots-that-do-your-chores-at-iphone-prices", "votes": 291, "created_at": "2025-09-23T22:11:41.061Z" } ] }, { "id": 30569, "name": "Fifth Door", "slug": "fifth-door", "former_names": [ "Placeholder (Gaming + Gen AI)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccb42373fb1495367c087cca6ae092d6da20baba.png", "website": "https://fifthdoor.com", "all_locations": "San Francisco, CA, USA", "long_description": "Fifth Door unlocks the power of imagination by making it easy for everyone to create, share, and play games anywhere, with anyone. We exist to stimulate the creativity, connection, and joy that people get when they play games.\r\n", "one_liner": "Create and play games with AI", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1764014092, "tags": [ "Consumer", "Gaming", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/fifth-door", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/fifth-door.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccb42373fb1495367c087cca6ae092d6da20baba.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": 5619, "full_name": "Daniel Kan", "title": "Founder/CEO", "founder_bio": "Built Exec (W12), Cruise (W14), now Fifth Door (F25)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielkan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5892151ebb8056a8d73a27951ce9573e078f48d0.jpg" }, { "user_id": 5527, "full_name": "Amir Ghazvinian", "title": "Founder/CTO", "founder_bio": ".", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amirghazvinian/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b83d26e3d9fb37a474e45bf978615d6eda710c5a.jpg" } ], "jobs": [ { "id": 77736, "title": "Front End Engineer", "url": "https://www.ycombinator.com/companies/fifth-door/jobs/o7AS4A9-front-end-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$150 - $250", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "React", "TypeScript" ] } ], "news": [], "launches": [] }, { "id": 30591, "name": "Autonomous Technologies Group", "slug": "autonomous-technologies-group", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1418e292df2ccff4d9598566261526adff42355d.png", "website": "https://becomeautonomous.com/", "all_locations": "New York City, NY, USA", "long_description": "Autonomous is a superintelligent financial advisor at 0% advisory fees. \r\n\r\nToday, managing your money means one of two bad options:\r\n\r\nDIY your money: You end up with accounts everywhere (401k, IRAs, brokerage, crypto, savings, equity, secondaries). Your spreadsheet is always wrong. You make expensive mistakes because this isn't your full-time job.\r\n\r\nHire a financial advisor: They'll manage your money and charge 1-2% of assets annually. Run that math over multiple decades and you're handing over half your net worth to fees.\r\n\r\nNeither path can economically deliver the sophisticated, personalized strategies the ultra-wealthy use to compound wealth: strategic tax-loss harvesting across individual securities, systematic risk management, portfolio-backed borrowing to defer capital gains, access to alternatives, etc.\r\n\r\nThese aren't secret – they're just economically impossible to deliver at scale through traditional human advisors.\r\n\r\nRobos were supposed to fix this, but they were designed in a pre-AI world. In practice they just manage cookie-cutter portfolios. They don’t coordinate across your 401(k), taxable accounts, mortgage, equity, and cash flow, they don’t help with real decisions like job offers, windfalls, or concentrated stock, and they don’t deliver institutional strategies. That’s why, even after a decade plus, the biggest robos are still <$100B AUM while old-school advisors like Raymond James / Edward Jones sit on trillions.\r\n\r\nWe’re doing for financial advising what Robinhood did for brokerages. Think of it as a full-stack, AI-native wealth strategist that brings billionaire-style playbooks to ordinary investors.\r\n\r\nAutonomous is built around a frontier-scale reasoning engine—an AI that perceives global events as they unfold, understanding their deeper implications for markets and and most importantly, how these events will impact your investments. ", "one_liner": "Superintelligent financial advisor", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1764806109, "tags": [ "Consumer Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/autonomous-technologies-group", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/autonomous-technologies-group.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autonomous-technologies-group/", "x_url": "https://x.com/a____t____g", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1418e292df2ccff4d9598566261526adff42355d.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": 8758, "full_name": "Dillon Erb", "title": "Founder/CEO", "founder_bio": "CEO/ co-founder Autonomous Technologies Group (YC/F25)\nprev: CEO/ co-founder @ Paperspace (YC/W15) - Acquired DigitalOcean (2023)\nAngel Investor / Advisor\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dillonerb", "x_url": "https://twitter.com/dlnrb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/857314bbdb8b28ab6e06435e5af25da9d5c3786d.jpg" }, { "user_id": 64620, "full_name": "Daniel Kobran", "title": "Founder/COO", "founder_bio": "Cofounder of Autonomous Technologies Group. Prev. Cofounder of Paperspace (GPU cloud, YC), acquired in 2023. Background in cloudscale GPU computing & AI. Early stage deep tech investor. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-kobran/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e71fc6c02aa2610d7cfa35c0f4522d3a625a9cd6.jpg" } ], "jobs": [ { "id": 78682, "title": "Member of Technical Staff (Backend)", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/9XBlkWc-member-of-technical-staff-backend", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$180K - $260K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 78686, "title": "Member of Technical Staff (Full Stack)", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/leXsgOS-member-of-technical-staff-full-stack", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$170K - $250K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 78687, "title": "Member of Technical Staff (Research Engineering)", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/qnaU0Uk-member-of-technical-staff-research-engineering", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $260K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 78688, "title": "Research Scientist", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/XoXpFWN-research-scientist", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 81481, "title": "Member of Technical Staff (iOS)", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/Tzcbmes-member-of-technical-staff-ios", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$160K - $240K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85279, "title": "Member of Technical Staff, Quantitative Systems", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/DH2H9nM-member-of-technical-staff-quantitative-systems", "location": "New York City / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90037, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/PWbUi20-product-designer", "location": "New York City", "type": "Full-time", "role": "Design", "role_type": "Mobile design", "salary_range": "$115K - $125K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104229, "title": "Member of Technical Staff (Data Platform)", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/LZPa2oC-member-of-technical-staff-data-platform", "location": "New York City / San Francisco / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$150K - $275K", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104230, "title": "Client Director", "url": "https://www.ycombinator.com/companies/autonomous-technologies-group/jobs/2Ho2HEk-client-director", "location": "San Francisco / New York City / Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Y Combinator Grads Raise $15 Million for AI Money Manager Autonomous - Business Insider", "url": "https://www.businessinsider.com/atg-autonomous-technologies-y-combinator-15-million-ai-money-manager-2026-1", "date": "Jan 06, 2026" } ], "launches": [ { "id": 96574, "title": "Autonomous – Superintelligent financial advisor at 0% advisory fees", "tagline": "Invest like the ultra-wealthy with an AI-native wealth strategist", "body": "![uploaded image](/media/?type=post&id=96574&key=user_uploads/64620/29da316a-9f16-4a20-8f6d-c083a115287f)\n\nHello! We co-founded and exited Paperspace (GPU cloud, YC W15). After selling Paperspace, we did the “responsible” thing and tried to get our own finances dialed in.\n\nI encountered two options, both felt broken and just weren’t right for me:\n\n## **The problem**\n\n**DIY your money:** Accounts everywhere (401k, IRAs, brokerage, crypto, savings, equity, secondaries). Your spreadsheet is always wrong. You make expensive mistakes because this isn't your full-time job.\n\n**Hire a financial advisor:** They'll manage your money and charge 1-2% of assets annually. Run that math over multiple decades and you're handing over half your net worth to fees.\n\nNeither path felt like what I wanted: sophisticated, personalized strategies the ultra-wealthy use to compound wealth: strategic tax-loss harvesting across individual securities, systematic risk management, portfolio-backed borrowing to defer capital gains, access to alternatives, etc.\n\nThese aren't secret – they're just unfeasible to deliver at scale through traditional human advisors.\n\n**Robos were supposed to fix this, but they were designed in a pre-AI world.** In practice the robo option can feel cookie-cutter. They don’t coordinate across your 401(k), taxable accounts, mortgage, equity, and cash flow, they don’t help with real decisions like job offers, windfalls, or concentrated stock, and they don’t deliver institutional strategies. That’s why, even after a decade plus, the biggest robos are still <$100B AUM while old-school advisors like Raymond James / Edward Jones sit on trillions.\n\n## **What we're building**\n\n**Autonomous** ([becomeautonomous.com](http://becomeautonomous.com)) is a superintelligent wealth manager with **0% advisory fees**. (Note, our optional direct-indexing feature will charge a fee, replacing ETFs and Mutual Funds with individual securities).\n\nWe’re doing for financial advising what Robinhood did for brokerages. Think of it as a full-stack, AI-native wealth strategist that brings billionaire-style playbooks to ordinary investors.\n\n**Sees everything and understands it**\n\nConnect all your accounts, including messy off-platform assets like rental properties, SPVs, and startup equity. Autonomous builds a live view of your assets, liabilities, cash flow, and taxes. It knows where you're concentrated, where you're wasting tax capacity, where cash is idle.\n\n**Conversational intelligence**\n\nTalk to Autonomous 24/7 about any financial decision. \"Should I max out my 401k or pay down my mortgage?\" \"How does this job offer change my strategy?\" Get answers, explore tradeoffs, execute instantly. No quarterly calls.\n\n**Personalized direct indexing**\n\nInstead of generic ETFs, Autonomous builds a direct index optimized for your income, tax bracket, time horizon, and goals. Designed to\\\nharness sophisticated, wealth optimization strategies, Autonomous\\\noptimizes portfolios at the individual security level. You refine through conversation, it deploys intelligently.\n\n**Continuous optimization**\n\nAutonomous monitors everything continuously, alerting you to what matters: tax-loss harvesting opportunities, rebalancing needs, cash deployment timing, risk adjustments. \n\n**Custom exposures, not stock picking**\n\nOn top of your core plan, you can add targeted strategies if you want to be more hands-on. Want targeted exposure to AI? Autonomous maps the ecosystem, builds a custom sleeve sized by volatility and fundamentals, accounts for correlations with your existing positions, and manages it inside your broader plan. AI agents design and implement it.\n\n## **Who this is for**\n\nRight now we're focused on:\n\n* People with multiple fragmented accounts and a spreadsheet they don't trust\n* Brokerage users with a pile of individual bets, not a strategy\n* Anyone who doesn't want to pay 1-2% forever but also doesn't want to be their own wealth manager\n\n## **Why now**\n\nPeople everywhere already ask AI about their finances, but there's no Cursor-style \"apply\" button and it doesn't run continuously. The technology finally exists to deliver institutional wealth management through AI.\n\nWealth management generates \\~$250B/year in advisory revenue, with human intermediaries extracting massive amounts of fees. It feels like a pre-Robinhood brokerage world: entrenched, expensive, structurally misaligned.\n\nAutonomous is following the neobank playbook that companies like Mercury and Ramp used in traditional banking: replace brick-and-mortar with elegant digital experiences.\n\n**Get early access:** [becomeautonomous.com](http://becomeautonomous.com)\n\n_Note: We are hiring across multiple roles in NYC and SF: [https://atg.science/](https://atg.science/)_", "url": "https://www.ycombinator.com/launches/P7e-autonomous-superintelligent-financial-advisor-at-0-advisory-fees", "votes": 72, "created_at": "2026-01-07T18:33:55.271Z" } ] }, { "id": 30592, "name": "Prox", "slug": "prox", "former_names": [ "DART", "Stealth", "Dart Labs", "prox" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f30fc74152325f6e0cd4158a192d0c292aefd1.png", "website": "https://useprox.com", "all_locations": "San Francisco, CA, USA", "long_description": "Prox turns product expertise into revenue for equipment manufacturers.\r\n\r\nEquipment buyers rarely begin with a model number. They begin with a job, an installed system, a constraint, or a problem. The knowledge needed to qualify, recommend, configure, quote, repair, replace, or upgrade the product is scattered across manuals, catalogs, spreadsheets, calculators, product managers, applications engineers, dealer processes, support teams, and legacy systems. The result is abandoned demand, slow qualification, wrong-fit recommendations, quote delays, weak dealer follow-up, missed parts and service revenue, and dependence on a few experienced people.\r\n\r\nProx builds AI product specialists for equipment manufacturers. A product specialist uses the manufacturer's approved product knowledge, expert rules, calculators, and connected systems to move customers and frontline teams from a complex product question to the right purchase, quote, dealer, parts, service, replacement, or upgrade path.\r\n\r\nHow it works:\r\n\r\n1. Understand what the person is trying to accomplish.\r\n2. Resolve the product, application, and operating context already available.\r\n3. Ask only for the missing information that changes the result.\r\n4. Apply approved sources, expert rules, and deterministic tools (calculators, selectors, configurators, comparisons).\r\n5. Produce a supported, cited recommendation, configuration, procedure, or decision artifact.\r\n6. Move the person into the correct cart, quote, RFQ, BOM, dealer, sales, parts, service, replacement, upgrade, or expert action with the context preserved.\r\n\r\nOne product specialist, many governed skills: product discovery and comparison, sizing and configuration, competitive defense, quote preparation, dealer enablement, installation and commissioning, troubleshooting, parts identification, and approved service, replacement, and upgrade paths. Manufacturers deploy those skills to customers, dealers, sales teams, applications engineers, support teams, or field service. Existing CRM, CPQ, commerce, and support systems stay in place.\r\n\r\nSupport and service are revenue-bearing surfaces. The specialist resolves the customer's problem first, then surfaces the approved part, service, replacement, or upgrade path only when the evidence supports it.", "one_liner": "AI product specialists for equipment manufacturers", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1759337800, "tags": [ "Customer Success", "E-commerce", "Customer Support", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Retail" ], "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/prox", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/prox.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prox-inc/", "x_url": "https://x.com/try_prox", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/98f30fc74152325f6e0cd4158a192d0c292aefd1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5f2d83a2db0f5f81f587c716671d45443b09e371.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de7348a94bb2e75735246dd88b7dcbbcf5a3160a.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1022456, "full_name": "Dima Yanovsky", "title": "Founder", "founder_bio": "mit '25", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yanovsk/", "x_url": "https://x.com/yanovskyd", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1650d391fc2ac0d8c718b1da7c24334235295877.jpg" }, { "user_id": 3066807, "full_name": "Gregory Makodzeba", "title": "Founder", "founder_bio": "> founded Rektoff (built security systems protecting >$100B; clients: Solana) \n> led DevRel at Runtime Verification (among clients: NASA, Boeing)\n> grew up in a family distribution business\n> studied aviation management and computer science", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gregory-makodzeba/", "x_url": "https://www.x.com/youfelll", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa9d3c45e6f32c18695807e61009287a9f22b96b.jpg" } ], "jobs": [ { "id": 92782, "title": "Founding Engineer at Prox", "url": "https://www.ycombinator.com/companies/prox/jobs/0OlQtPT-founding-engineer-at-prox", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K", "equity_range": "1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98421, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/prox/jobs/E1rWvQT-founding-gtm-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $180K", "equity_range": "0.25% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98422, "title": "Executive Assistant & Operations", "url": "https://www.ycombinator.com/companies/prox/jobs/LoltdId-executive-assistant-operations", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98423, "title": "Videographer & Creative Producer", "url": "https://www.ycombinator.com/companies/prox/jobs/Nq3ECpl-videographer-creative-producer", "location": "San Francisco, CA", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 98424, "title": "Forward-Deployed Engineer", "url": "https://www.ycombinator.com/companies/prox/jobs/VKpZh1L-forward-deployed-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $190K", "equity_range": "0.35% - 0.75%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95414, "title": "Prox: digital co-workers for logistics operations", "tagline": "📦 Prox builds digital workforce for third-party logistics and fulfillment providers. ", "body": "Greg and Dima here - childhood friends, grew up in our families’ warehouses - now YC founders building Prox.\n\n**launch video:** https://www.youtube.com/watch?v=9Ywl-K7ncj0\n\n---\n\n**tldr:**\n\n[**Prox**](https://www.prox.inc/) builds digital workforce for third-party logistics and fulfillment providers. We deployed our first agents at [**ShipBob**](https://www.linkedin.com/company/shipbob) (unicorn 3PL handling 100+ million packages per year) to automate carrier claims for lost-in-transit packages. **They're now live in production, processing hundreds of claims in parallel and on track to recover millions in carrier refunds annually.**\n\n**what is 3PL?**\n\nthird-party logistics companies (3PLs) are the invisible infrastructure behind e-commerce brands: they warehouse inventory, fulfill orders, manage returns, and negotiate with carriers so brands don't have to.\n\n**the problem:**\n\n40,000+ 3PLs in the US all do the same thing: throw people at operational bottlenecks.\n\n❌ Claims processing done manually, one by one \\\n❌ Invoice reconciliation eating hours of labor \\\n❌ Compliance paperwork blocking growth \\\n❌ Every increase in package volume = more back-office hires\n\nThat's the margin trap. Logistics companies stuck at 3-5% margins because headcount scales linearly with volume of packages. You can't compound when labor costs are linear.\n\n**what we built:**\n\nWe developed an n8n-inspired agent building platform - native to logistics infrastructure. It integrates with Salesforce, warehouse & transportation management systems, carrier portals, Microsoft Teams, and email → then executes SOPs end-to-end.\n\nWith this platform, we can deploy agents in production in a matter of days.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/dc3e69b6-c3f6-476d-94c5-578b3a02d9de)\n\n**use case: ShipBob Carrier Claims Automation**\n\nHere’s an example of how our agents handle lost package claims for [ShipBob](https://shipbob.com/), one of the biggest 3PLs in the US.\n\n> first demo at ShipBob HQ in Chicago\n>\n> ![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/cd110709-17ec-410e-90c8-e3c0d7db72f5)\n\n\nWhen a package goes missing - our agent orchestrates resolution: pull order data, calculates refund amounts, files with carriers, monitors responses, parses updates, syncs internal systems, escalates exceptions - hundreds running in parallel.\n\nOur agents do not stop at task execution - we designed them to own outcomes. If a carrier doesn't respond, the agent follows up. If documentation is missing, it fetches it. Each agent has one objective: get the claim resolved.\n\n**about us:**\n\n[**Gregory Makodzeba:**](https://www.linkedin.com/in/gregory-makodzeba/)\n\n* Founded Rektoff: built blockchain security infrastructure protecting $100B+ in crypto assets (clients: Solana Foundation)\n* Led Developer Relations at Runtime Verification, working with NASA, Boeing, and Ethereum Foundation on formal verification for mission-critical systems\n* Grew up implementing ERP and WMS systems in the family distribution business\n\n[**Dima Yanovsky:**](https://www.linkedin.com/in/yanovsk/)\n\n* MIT grad: Computer Science + Electrical Engineering\n* Robotics research at MIT CSAIL under Prof. Pulkit Agrawal on manipulation policies;\n* Built internal and customer-facing AI agents at Pulley (YC W20) during early GPT era\n* Spent childhood automating warehouse operations and business processes\n\nWe both grew up in our parents' warehouses. When we weren't moving boxes around, we were doing the mundane back-office work every warehouse has (filing claims, reconciling invoices, chasing carriers). This was the pre-LLM era, so we had no choice but to grind through manual workflows. We saw firsthand how coordination became the biggest constraint on growth - and how no software could actually handle it end-to-end.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/68380300-ee0e-4379-98de-de1b551b269e)\n\nWe deeply understand the ontology of logistics operations. That's why we can ship integrations in days, not months. We're building the digital workforce we wish existed back then.\n\nIf you're running logistics operations at a 3PL, fulfillment center, or freight forwarder, or know someone who is - reach out: [founders@prox.inc](mailto:founders@prox.inc)\n\n---", "url": "https://www.ycombinator.com/launches/Oow-prox-digital-co-workers-for-logistics-operations", "votes": 130, "created_at": "2025-11-11T23:07:29.395Z" } ] }, { "id": 30604, "name": "Parametric", "slug": "parametric", "former_names": [ "Intelligent Machines" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6077089b2820cf087e262d7c3ff9da8b9617d791.png", "website": "https://parametric.company/", "all_locations": "San Francisco, CA, USA", "long_description": "Parametric builds autonomous physical businesses.", "one_liner": "Physical businesses that run themselves", "team_size": 7, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1754696414, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parametric", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/parametric.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parametric-pbc", "x_url": "https://x.com/parametricpbc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6077089b2820cf087e262d7c3ff9da8b9617d791.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7e494ab945324dd0a87ec5dbcc4f9f6cfae50f3f.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 1385556, "full_name": "Cody Swain", "title": "Founder/CEO", "founder_bio": "Previously offline simulations for Modern Recommendation Systems at Facebook. Founded one of the first non-custodial stablecoin wallet companies, raising over 7M from Galaxy, Arrington, and more. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/cody-swain-89b621118", "x_url": "https://twitter.com/c0dyswain", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/855ed46a1e8d5126a926f64fdab426a0f3951bc7.jpg" }, { "user_id": 2757584, "full_name": "John Newsom", "title": "Founder/CTO", "founder_bio": "Led the self-driving team at Parallel Systems and worked as a researcher at BAIR focused on robotics, world models, and large language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/newsom/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/207f87cc2aee7875ffde47a2f3f9baf29b041432.jpg" } ], "jobs": [ { "id": 99768, "title": "Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/parametric/jobs/tGNHtH7-mechatronics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$125K - $200K", "equity_range": "0.05% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104827, "title": "Mechatronics Engineer, Intern (Fall/Winter '26)", "url": "https://www.ycombinator.com/companies/parametric/jobs/xnrysgJ-mechatronics-engineer-intern-fall-winter-26", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95425, "title": "Parametric: RL for Robotics", "tagline": "Robots that learn from customer feedback", "body": "**TL;DR**\n\nExisting robots learn generic averages from massive datasets. Our robots learn from customer feedback.\n\nWe solve the RL feedback loop for robotics, allowing our robots to learn from _your_ specific standards via an automated reward pipeline that combines customer feedback with an intelligent judge model. This is the only way to capture the multi-trillion dollar “long tail” of unique, high-aggregate-value business tasks. \n\nWe’re live with real customers today and aggressively improving model performance. Our team led autonomy at Parallel Systems (series B startup; 100M raised) and scaled AI revenue for Facebook’s recommendation systems.\n\nhttps://youtu.be/EhiYJT52EJY\n\n**The Problem**\n\nThe real market for general purpose robotics is a multi-trillion dollar **“long tail” of differentiated tasks.** This is the market that traditional automation can’t touch. The core technology to solve this is _finally_ viable, but the long tail means the only path to success is adaptation to millions of specific customers' needs. \n\nWe’ve spoken to countless customers. No one has ever asked for a human form factor. They demand three things: **reliability, throughput, and control**. They want boxes packed in a specific order or towels folded lengthwise twice. Traditional learning algorithms don’t give this customer specificity.\n\nWhen you work backwards from these _actual_ customer requirements it becomes clear that we’re missing the bridge between customer feedback and model improvement.\n\n**Our Approach**\n\nWe build **robots** that learn from customer feedback and improve continuously. \n\n1. Adaptive Intelligence: At its core, an automated pipeline that combines customer feedback with a judge model to RL fine-tune a model and steer it towards positive behaviors, as defined by customers.\n2. Pragmatic Hardware: A mobile robot with a wheeled base and bimanual arms. Designed for long uptime and high throughput.\n\n \n\nOur models can learn new behaviors on-site with less than an hour of data, delivering low cost, effective automation immediately. \n\nIf you’d like to learn more, please reach out to us: [hello@parametric.company](mailto:hello@parametric.company).\n\n![uploaded image](/media/?type=post&id=95425&key=user_uploads/2757584/514106c9-df57-4f4e-aff8-de58700525d3)\n\n", "url": "https://www.ycombinator.com/launches/Op7-parametric-rl-for-robotics", "votes": 13, "created_at": "2025-11-12T07:26:05.335Z" } ] }, { "id": 30631, "name": "Null Labs", "slug": "null-labs", "former_names": [ "Corvus Defense" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c6d34be502792f6dd14717502e2286fd5399a8b.png", "website": "https://n0labs.com", "all_locations": "San Francisco, CA, USA", "long_description": "We provide defense companies with simulation infrastructure to train and validate autonomous systems.\r\n", "one_liner": "End-to-end Simulation for Defense Autonomy", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1763086396, "tags": [ "Robotics", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/null-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/null-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/n0lab", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c6d34be502792f6dd14717502e2286fd5399a8b.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": 1742187, "full_name": "Kristopher Luo", "title": "Founder/CEO", "founder_bio": "Previously Stanford EE and CS. Conducted research in the nanofabrication lab, and worked in industry on automating vision to action pipelines for agriculture robotics. Also deployed neural networks on edge including a patented system for child heat protection in vehicles. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krisluo", "x_url": "https://x.com/theKrisLuo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d15a85b53b352a41a9b96f6c123f78754ef02ca6.jpg" }, { "user_id": 1959092, "full_name": "Niel Ok", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Null Labs. Previously led infrastructure at a DeepMind spinout working on automating AI research and studied EE and did neuroscience theory research at Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/niel-ok/", "x_url": "https://x.com/nielok20", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a9410ed47494d188fbca6cc705e1d684e8dd53f7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30657, "name": "Nori", "slug": "nori", "former_names": [ "Unison Labs", "Nori Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60de07c4ea314cd8ec771f12dbd0151f725a956d.png", "website": "https://nori.ai", "all_locations": "New York City, NY, USA", "long_description": "Nori is a concierge-level AI health coach in your pocket. \r\n\r\nIt takes all of your health data—Apple Health, medical records, wearables, everything—and boils it down into a personalized daily plan.\r\n\r\nUsers love it: “It's truly one of the best apps and I check it first every day. Since using Nori, I've been limiting devices in bed and eating earlier—and I'll be damned if it's not working... I started getting more deep sleep, my resting HR dropped to 43, my recovery improved.”—Jen, Nori user\"\r\n", "one_liner": "AI health coach in your pocket", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1760987305, "tags": [ "Consumer Health Services", "Health Tech", "Digital Health", "Health & Wellness", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/nori", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nori.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://linkedin.com/company/nori", "x_url": "https://twitter.com/NoriDotAi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60de07c4ea314cd8ec771f12dbd0151f725a956d.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": 156882, "full_name": "Dave Zohrob", "title": "Founder/CEO", "founder_bio": "Cofounder/CEO Nori. Prev cofounder/CEO Chartable (acquired by Spotify) & early AngelList. \n\nRan podcast ads product team of 150 at Spotify after acquisition. Founded AngelList talent platform (now Wellfound). Also HOTorNOT & Microsoft. My first startup was QBasic.com in 1995.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dzohrob/", "x_url": "https://x.com/dzohrob", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3bc73b06b948419e20267b3ba6b5fac1c65ee914.jpg" }, { "user_id": 21986, "full_name": "Harish Agarwal", "title": "Founder/CTO", "founder_bio": "Cofounder & president Nori Health (F25); previously cofounder Chartable (acquired by Spotify); previously cofounder & CEO Octopart (W07)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harish-p-agarwal/", "x_url": "https://x.com/smock", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39a3abd00a7380cd885cc8dae01d2a7150f66b6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94783, "title": "Nori: Personal health coach in your pocket", "tagline": "Connect your wearables, labs, and health apps directly to AI—get personalized insights every day", "body": "![uploaded image](/media/?type=post&id=94783&key=user_uploads/156882/2070df36-afa6-4a71-87e7-1398758caed3)\n\n**I wrecked my body** over six years building my last startup, then spent six months obsessively fixing it… juggling five different apps, spreadsheets, counting every calorie.\n\nTwo weeks into my new company, I could feel it happening again. Staying healthy was becoming a second full-time job. \n\n**That’s why we built Nori.**\n\nhttps://www.youtube.com/watch?v=kUbvmqdwqSA\n\n\\\n**What it is:** All your health data in one place—Apple Health, Oura, Whoop, Peloton, nutrition apps, Garmin, MyChart, blood tests from Function Health, Superpower—all feeding your personal health AI.\n\n**Who it’s for:** People who want weight loss, better energy, or faster recovery—starting with iOS users\n\n**Real examples from my own data:**\n\n* I got stronger when I added rest days instead of grinding 6-7 workouts weekly\n* Magnesium at bedtime increased my REM sleep by 25%\n* When I miss a workout, Nori tells me exactly how to adjust\n\n![uploaded image](/media/?type=post&id=94783&key=user_uploads/156882/90c3d465-cd9c-4aaa-b378-cf827d3d5ae3)\n\n**About us**\\\nWe’re [Dave](https://www.linkedin.com/in/dzohrob/) and [Harish](https://www.linkedin.com/in/harish-p-agarwal/), cofounders of **Chartable** (acquired by Spotify in 2022); Harish was co-founder/CTO of **Octopart** (YC W07, acquired 2015).\n\n**Try it now**\\\nHave a wearable + iPhone and actually want to get healthier? [Give us a try](https://nori.ai)—use invite code LAUNCHYC.\n\nWe’re especially looking for Apple Watch users focused on weight loss or energy.\n\n![uploaded image](/media/?type=post&id=94783&key=user_uploads/156882/75767d90-b59d-4635-98aa-e675041e4c1a)\n\n---", "url": "https://www.ycombinator.com/launches/Oel-nori-personal-health-coach-in-your-pocket", "votes": 51, "created_at": "2025-10-20T21:10:14.383Z" } ] }, { "id": 30749, "name": "Fernstone", "slug": "fernstone", "former_names": [ "Sentri Security", "Sentri" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2529eaf040180126a595ccd660f42824d36e2dae.png", "website": "https://www.fernstone.com", "all_locations": "New York City, NY, USA", "long_description": "Fernstone is an AI-native insurance brokerage: we combine AI with licensed brokers to obtain complex insurance faster, and at better terms. Today, we manage risk for 500+ businesses in construction, security, and the trades. ", "one_liner": "AI-native insurance brokerage. ", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1759775643, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/fernstone", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/fernstone.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/fernstone/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2529eaf040180126a595ccd660f42824d36e2dae.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": 737672, "full_name": "James Chen", "title": "Founder/CEO", "founder_bio": "Building Fernstone. Previously Traba (Series A, Founders Fund), BCG, UChicago. Former debate champion ranked #1 in the USA out of 10,000 teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-chen-394ab67b/", "x_url": "https://x.com/James_R_Chen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/480aa339f23cadccae06f7f6b4e95ea13d9fec5d.jpg" }, { "user_id": 2822736, "full_name": "Bryant Le", "title": "Founder/CTO", "founder_bio": "Building Fernstone. Former Engineering @ Google and SentiLink (Series B, a16z). Previously Vanderbilt Applied Math / CS. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryant-le-3884a7134", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10e66d02f9cdc0c3cd63e05af365d3d61331fc82.jpg" } ], "jobs": [ { "id": 111398, "title": "Founding Sales Development Representative", "url": "https://www.ycombinator.com/companies/fernstone/jobs/HNZMqpH-founding-sales-development-representative", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$65K - $90K", "equity_range": "0.10% - 0.25%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111987, "title": "Founding Growth & Ops Lead", "url": "https://www.ycombinator.com/companies/fernstone/jobs/ttMoyl4-founding-growth-ops-lead", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $130K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 112215, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/fernstone/jobs/AUE2Y7y-founding-engineer", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112216, "title": "Growth & Operations Analyst", "url": "https://www.ycombinator.com/companies/fernstone/jobs/1YekzVV-growth-operations-analyst", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$65K - $90K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30812, "name": "Mixy", "slug": "mixy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b427a11c01acc7be86bdfb9bf97f62e7e9151a7.png", "website": "https://usemixy.com", "all_locations": "", "long_description": "Live out your DJ dreams with Mixy, the mind-blowing music app that lets you mash-up any song in seconds.\r\n\r\n⁕ Add your songs\r\n⁕ Instantly blend vocals and beats\r\n⁕ Play and share your mashup anywhere\r\n\r\nThere’s no limit to your imagination!\r\n\r\n⁕ Launched to #1 in Music on June 19th\r\n⁕ 1.5M users in 3 months\r\n⁕ 15M mashups made and growing", "one_liner": "Make mashups without knowing how to DJ", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1758155628, "tags": [ "Consumer", "Entertainment", "Social", "Music", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Jonah and Joe first met as teen tech YouTubers in 2008 and began building iPhone apps together in 2009. At the end of 2024, we started Mixy as a fun way for fans to make mashups of their favorite songs.\r\n\r\nWe publicly iterated prototypes on TikTok, which led to over 350k pre-orders before launch. Mixy debuted on June 19th, hitting #1 in Music and reaching #3 overall in the App Store. Since then, more than 1.5M users have created and shared over 15M mashups." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Derivative musical works are being created at an exponential rate, but artists aren’t getting credited, and billions of dollars are being left on the table.\r\n\r\nEvery year, millions of songs are uploaded to music platforms with uncredited samples. Generative AI has accelerated this problem: music is being trained on artists’ work and re-uploaded without attribution, ownership, or financial stake for the creators who made it possible.\r\n\r\nMixy flips this model. We celebrate artists by letting fans directly manipulate and share versions of their songs. Every time a fan shares their creation, the artist is automatically credited and their work is distributed more widely. Because Mixy owns the creation layer, attribution is native. We auto-credit every source track and pair it with a music-first social network built for playback and discovery.\r\n\r\nThe future isn’t millions of disconnected AI songs or samples, it’s millions of recognizable songs evolving through thousands of shared versions.\r\n\r\nWe’re tackling this because we love music, see a timely problem, and bring a world-class background in creative tools and consumer social." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we truly succeed, Mixy will be the platform that redefines music in the age of derivative works. What TikTok is to YouTube, Mixy is to music.\r\n\r\nWe’ll be the first to establish proper licensing and attribution standards for a future where songs constantly evolve into new versions. Every derivative creation, whether a mashup, remix, AI-generated variation, or fan edit, will flow back to the original artist with automatic credit and revenue.\r\n\r\nMusic expression and consumption will no longer be limited to static recordings. Instead, the world will experience songs as living, evolving works. Fans will become co-creators, artists will be celebrated more widely than ever, and the industry will unlock billions in new value.\r\n\r\nIn this future, music is not just listened to. It’s played with, passed around, and endlessly reinterpreted, with artists always at the center." } ], "url": "https://www.ycombinator.com/companies/mixy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/mixy.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b427a11c01acc7be86bdfb9bf97f62e7e9151a7.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": 42474, "full_name": "Joe Kennedy", "title": "Founder/CEO", "founder_bio": "Making Mixy", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joekndy", "x_url": "https://www.twitter.com/joekndy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f7fc8528354984cf5755d40bdabce2a00649320.jpg" }, { "user_id": 2876566, "full_name": "Jonah Siegle", "title": "Founder/CTO", "founder_bio": "Building Mixy, the new way to make music.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jonahsiegle", "x_url": "https://x.com/jonahsiegle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3254f9c6ea8002c211112defb0f7e93841b6e3d3.jpg" } ], "jobs": [], "news": [ { "title": "How to get viral song mashup music app Mixy all over Twitter", "url": "https://thetab.com/2025/05/12/ok-so-heres-how-to-get-the-viral-music-mashup-app-thats-all-over-twitter-right-now", "date": "May 12, 2025" }, { "title": "\nMixy (App) | Know Your Meme\n", "url": "https://knowyourmeme.com/memes/sites/mixy-app", "date": "May 12, 2025" } ], "launches": [ { "id": 95158, "title": "Mixy - Make Mashups", "tagline": "Remix your music without knowing how to DJ", "body": "We’re [Joe](https://www.linkedin.com/in/joekndy/) and [Jonah](https://www.linkedin.com/in/jonahsiegle/), cofounders of [Mixy](https://apps.apple.com/us/app/mixy-make-mashups/id6739403586).\n\nMixy lets anyone remix music without knowing how to DJ. We’ve optimized our own local models to produce real time, high quality mashups at no cost.\n\n⁕ Add your songs\n\n⁕ Instantly blend vocals and beats\n\n⁕ Play and share your mashup anywhere\n\n**Since Launch**\n\n⁕ $200k in donations, $20k MRR since launching our subscription last month\n\n⁕ #1 in Music and #3 Top Free overall on the App Store\n\n⁕ 1.5M users in 3 months\n\n⁕ 18M mashups made and growing\n\n![uploaded image](/media/?type=post&id=95158&key=user_uploads/42474/cd3aa913-8172-4a48-a472-4d21f4e03eb8)\n\nhttps://www.youtube.com/watch?v=-W_6p6g2CdE\n\n**What’s Next?**\n\n⁕ Instantly enable people to create full length mashups and remixes through our own music mixing model\n\n⁕ Create the best listening experience where all of your favorite songs combine and blend into one another in unimaginable ways\n\n⁕ Instantly pay out artists and creators per second on plays\n\n⁕ The music industry will unlock billions in value and Mixy will change how we experience music forever\n\n**Our Story**\n\nJoe and Jonah met as tech YouTubers in 2008, and began building apps together in 2009. They’ve worked at Apple, Instagram, and Skillshare. Recently Jonah led mobile at Tithly (Stripe’s 8th largest customers), and Joe founded a consumer social startup acquired by CoinList ($100M Series A), where he led product.\n\nAt the end of 2024, we started Mixy was started as a fun way for fans to make mashups of their favorite songs. Prototypes were shared on TikTok, which led to over 350k pre-orders before launch. Mixy debuted on June 19th, hitting #1 in Music and reaching #3 overall in the App Store. Since then, more than 1.5M users have created and shared over 18M mashups.\n\n---\n\n**Problem & Vision**\n\nWe believe Remixing is the new Shuffle.\n\nFans are searching for infinite ways to experience their favorite artists, and the tools to remix and create derivatives are far too complicated.\n\nFor artists, derivative musical works are being created at an exponential rate, but artists aren’t getting credited, and billions of dollars are being left on the table.\n\nMixy flips this model. We celebrate artists by letting fans directly manipulate and share versions of their songs. Every time a fan shares their creation, the artist is automatically credited and their work is distributed more widely. Because Mixy owns the creation layer, attribution is native. We auto-credit every source track and pair it with a music-first social network built for playback and discovery.\n\nThe future isn’t millions of irrelevant AI songs, it’s millions of recognizable songs evolving through thousands of shared versions.\n\nIf we truly succeed, Mixy will be the platform that redefines music in the age of derivative works. What TikTok is to YouTube, Mixy is to Spotify.\n\nWe’re tackling this because we love music, see a timely problem, and bring a world-class background in creative tools and consumer social.", "url": "https://www.ycombinator.com/launches/Oko-mixy-make-mashups", "votes": 150, "created_at": "2025-11-04T17:11:11.326Z" } ] }, { "id": 30816, "name": "Digipals", "slug": "digipals", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a100705513555f60b674edacd7874b01e7bef2df.png", "website": "https://www.digipals.app/", "all_locations": "San Francisco, CA, USA", "long_description": "Social networks are dead. Social media became more media than social. My friends aren't on social media anymore - it's one third ads, one third content from strangers, and one third AI slop. Our social lives are fragmented across dozens of different apps - iMessage, WhatsApp, Find My, Partiful, and Venmo. \r\n\r\nDigipals is the first AI-native social operating system that improves our relationships with friends. We built ambient AI agents that use social context from our location, calendar, and photos to take action and write code in our group chats. We are the last social platform anyone will ever need.\r\n\r\nLaunch Video\r\nhttps://youtu.be/KW2tjLl6sxM ", "one_liner": "The future of Social in the age of AI", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Social", "launched_at": 1762213106, "tags": [ "Consumer", "Social Media", "Social", "Social Network", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Social" ], "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/digipals", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/digipals.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/digipals-app", "x_url": "https://x.com/digipals_app", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a100705513555f60b674edacd7874b01e7bef2df.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/596d92e81f6404cdae0c6aa3469afe1f4fbee337.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1557194, "full_name": "Peggy Wang", "title": "Founder/CEO", "founder_bio": "CEO @ Digipals - building the future of Social in the age of AI\n\nConsumer Social + AI\n\nPrev - ex-cofounder/cto of ego, ai avatars for metaverse @ meta reality labs, behavior planning @ lyft self-driving, stanford cs/ai/robotics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peggy-wang-ai/", "x_url": "https://twitter.com/peggy_wang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a3b3b69f350c5fb6ff20b88139e7f69ba0c492a.jpg" }, { "user_id": 3126807, "full_name": "Mathew Matakovic", "title": "Founder", "founder_bio": "CTO of Digipals\nPreviously solo game dev on deadshot.io (2m MAU)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/justatree/", "x_url": "https://x.com/GoalieSave25", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da66bc7fb96324698b9f67cc9d836ac31a69c949.jpg" } ], "jobs": [ { "id": 80562, "title": "iOS/Android Full Stack Software Engineering", "url": "https://www.ycombinator.com/companies/digipals/jobs/oZmOW5w-ios-android-full-stack-software-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$4K - $5K / monthly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Android", "Flask", "iOS", "Python", "React Native" ] } ], "news": [], "launches": [ { "id": 95189, "title": "Digipals - AI-native Group Chats that get you outside", "tagline": "Where AI makes us more social", "body": "Social media has become more media and less social. When I open up Facebook and Instagram, I don’t see any of my friends on it anymore - it’s one third ads, one third content from strangers on the internet, and one third AI slop. My friends are no longer on social media - I either meet up with them IRL or catch up with them in group chats.\n\nhttps://youtu.be/KW2tjLl6sxM \n\nWhat if your group chats could help get you a reservation... and help you split the bill? Now it can.\n\nWe're building an AI-native group chat app that helps you hang out with your friends more. Your AI agent (digipal) knows your location, calendar, relationship history, and photos. It talks with your friends' digipals to coordinate IRL hangouts automatically - suggesting times when everyone's free, finding nearby restaurants and coffee shops, making reservations with AI calls, splitting bills from receipts, and nudging you to share photo memories after hanging out. \n\nRight now, coordinating hangouts with friends takes too much effort. We're removing that friction so you can spend less time planning and more time actually having fun IRL.\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/7bae7c14-2266-4d71-82e2-f23716cf4f2a)\n\n**Where We're Going - The First AI-Native Social Operating System**\n\nDigipals work through AI widgets that pop up right in your group chat when you and your friends need them. Talking about dinner? The restaurant widget appears. Someone sends a receipt? The bill split widget shows up. You never have to leave the group chat to coordinate.\n\nWe're starting with widgets that make it easier to hang out IRL - restaurant reservations, movie/concert suggestions, flight/hotel bookings, bill splitting, and sports scores. Here's some sneak peeks:\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/91296545-05f9-4057-b324-b600168547b9)\n\nThen we're adding widgets that help you stay close to your friends and make new ones - relive memories from fun times together in the past, post memes/articles/reels your group would actually find funny, surface life updates worth celebrating, and connect with friends of friends.\n\nEventually, anyone can build AI widgets for Digipals. Your group chat becomes the social operating system, and the widgets are the apps that enhance human connection.\n\n**Team**\n\n[Peggy](https://www.linkedin.com/in/peggy-wang-ai/) cares deeply about human relationships. For over nine years, she's grabbed dinner monthly with the same friends at Madras Cafe in Sunnyvale - the restaurant their group chat is named after. She's a second time founder who worked on the Metaverse at Meta Reality Labs, where she believed that the future of social connection was in virtual worlds and games. Now, she's convinced the future is simpler - it's showing up IRL.\n\nMathew made a hit solo game called [deadshot.io](http://deadshot.io) which has over 2M+ monthly active users. He enjoys connecting with others through playing music and video games, and joined the team to help make the future a little less lonely for everyone.\n\n![uploaded image](/media/?type=post&id=95189&key=user_uploads/1557194/7ee11258-ded8-466d-a9e5-ac5819801ad0)\n\n**Asks**\n\n* Please join the waitlist at [www.digipals.app](http://www.digipals.app) - we’ll be launching soon 👀 If you know Peggy personally, you can DM/text her to get early access :)", "url": "https://www.ycombinator.com/launches/OlJ-digipals-ai-native-group-chats-that-get-you-outside", "votes": 88, "created_at": "2025-11-05T17:54:23.555Z" } ] }, { "id": 30821, "name": "Efference", "slug": "efference", "former_names": [ "Remnant Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.png", "website": "https://efference.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 12, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762259214, "tags": [ "Robotics", "Computer Vision" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/efference", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/efference.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/EfferenceAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/54d1482241918ee48c1c994945fd8c443280d29b.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": 1945409, "full_name": "Gianluca Bencomo", "title": "Founder/CEO", "founder_bio": "-", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gianluca-bencomo-326469133", "x_url": "https://x.com/gianlucabencomo/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abf3b37c947d65d07ff29aff6adf54e459eb04ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95175, "title": "Efference - Helping robots see like humans do", "tagline": "Efference is building the most intelligent robotic camera on the market -- at half the cost. ", "body": "![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/8214e17c-76b2-4c77-9b83-f11af13ff298)\n\nHey YC, I’m Gianluca. I’m building robotic cameras (stereo cameras) that treat vision as a software problem, not a hardware problem – just like humans do.\\\n\\\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\n[**https://youtu.be/0v0p2t3y4fI**](https://youtu.be/0v0p2t3y4fI)\n\nMany robotics founders that I talk to are frustrated with current stereo cameras. They are expensive, require calibration, and still produce unreliable depth measurements despite their costs. Vision shouldn’t be an additional bottleneck when training robotic policies is already hard enough.\n\nOur insight is that humans don’t have precise sensors: our eyes are noisy and imprecise but we run extremely sophisticated algorithms on top of them. Robotics already embraced this philosophy for arms (_cheap hardware + great algorithms_ → \\[Zhao et al., 2023\\]). We’re applying it to cameras by developing better algorithms.\n\nWhat we built:\n\n* A 3D perception model that combines stereo triangulation + learned priors about objects and environments.\n* It runs in real time (unlike current neural depth approaches).\n* We are distilling the model into our own hardware and shipping model wrappers for Realsense/ZED cameras so you can run these cameras better.\n\nCheck out the designs (going into production soon):\n\n[**https://www.youtube.com/watch?v=oOmf4k2ZwaY**](https://www.youtube.com/watch?v=oOmf4k2ZwaY)\n\n**Does it work?**\n\nSelf-Driving: [**https://www.youtube.com/watch?v=0f058JAk64A**](https://www.youtube.com/watch?v=0f058JAk64A)\n\nRobotic Manipulation (via Functional Manipulation Benchmark): [**https://www.youtube.com/watch?v=GyV12gqGOMY**](https://www.youtube.com/watch?v=GyV12gqGOMY)\n\nAnd many more demos coming to the YouTube channel: [https://www.youtube.com/@Efference](https://www.youtube.com/@Efference%5C)\n\n**Why do we need this?**\n\nConverting a vehicle to full autonomy can cost upwards of **$100,000**. The economics are terrible: the sensor stack dominates lifetime cost, keeping cost-per-mile high and slowing deployment. A stereo-vision stack like ours cuts that cost by **10–100×**. Lower integration cost → cheaper replacements → larger fleets → autonomy that scales. We know we can drive a car using a stereo camera because that is what humans use. It’s just a matter of getting the camera to work as well as the one humans have.\n\nThe same dynamic applies to humanoids, perhaps at an even greater scale. Companies like Unitree ship tens of thousands of robots every year, all with stereo cameras, and consumers often complain about quality. We’re building a camera that is both **affordable and usable**, so teams can actually build with it. As humanoid production scales to millions of units per year, we hope to be the camera that scales with it.\n\nIn urban drone environments, GPS fails. Reliable RGB-D depth enables SLAM, safe navigation, and collision avoidance; critical for companies like Skydio operating in urban valleys. Again, drones are another vertical that requires thousands of cameras per year that are cheap and effective.\\\n\\\n**Additional Background**\n\nAny two-dimensional image is consistent with an infinite number of possible 3D worlds. “Seeing” is not just recording sensory input but resolving ambiguity; selecting the _most probable_ world given the available evidence **\\[Born & Bencomo, 2021\\]**.\n\nHumans and nearly every other mammal have evolved the same solution to this problem over the past 500 million years of evolution: stereo triangulation + data-driven inference. We integrate every available depth cue – shadows, perspective, occlusions, and much more – along with what we know about objects and the environment to accurately represent 3D scenes and act accordingly.\n\nRobots do not do this, but they need to.\\\n\\\n**Team**\n\n![uploaded image](/media/?type=post&id=95175&key=user_uploads/1945409/2474fb24-fae7-4604-a549-2a875fad6452)\n\nI spent the past four years at Princeton (on-leave from PhD) studying foundational topics in machine learning and neuroscience. I funded my research by writing two successful NSF grants to build biologically-inspired vision models based on the **fruit fly connectome** where the general research direction for myself and certainly my collaborators was the question of **“how do we make this fruit fly live inside a computer simulation?”**\n\nPrior to Princeton, I spent two years at Harvard Medical School studying visual decision-making in primate models and publishing influential theoretical work on **dopamine’s role in schizophrenia and its effects on visual perception**. I did my undergraduate degree in Biochemistry and got to do some cool non-vision work at the NASA Jet Propulsion Laboratory, figuring out a **new way of converting CO2 into O2 on Mars** that recycled water and did not require heat (e.g. MOXIE).\n\nGenerally, I like to work on really hard problems.\n\n**The Ask**\n\nIf you’re a roboticist, I’d love to learn what vision requirements matter most to you. If you know teams in autonomous vehicles, drones, or humanoid robotics, and believe this product is cool, sharing / intros would mean a lot.\n\nWe are actively taking pre-orders with delivery in March: https://efference.ai/preorder\n\nThank you — Gianluca.\n\n**\\[Born & Bencomo, 2021\\] [https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian](https://karger.com/bbe/article-abstract/95/5/272/47302/Illusions-Delusions-and-Your-Backwards-Bayesian)**\n\n**\\[Zhao et. al., 2023\\] [https://arxiv.org/abs/2304.13705](https://arxiv.org/abs/2304.13705)**", "url": "https://www.ycombinator.com/launches/Ol5-efference-helping-robots-see-like-humans-do", "votes": 122, "created_at": "2025-11-04T22:53:53.320Z" } ] }, { "id": 30822, "name": "Lapis", "slug": "lapis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/df9bacd59e8691b297a03e4d95b6d05915aa8b7f.png", "website": "https://www.trylapis.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Lapis builds, launches, and scales paid ad campaigns for DTC and SaaS businesses.\r\n\r\nLapis agents handle every step of the paid ads journey: writing ad copy (headlines and descriptions), generating the static images used in ads, deploying campaigns across paid channels, creating a custom landing page for each ad, and feeding real user interaction data back into a self-improving ads engine that gets better every day.\r\n\r\nWith Lapis, businesses can rapidly iterate on ads and A/B test at scale, free from the human design and creative bottlenecks that slow teams down. Using Lapis, companies can quantitatively improve their paid ads performance by up to 20x.\r\n\r\nLapis is used by 1,500+ marketing teams and 30+ enterprises, from Fortune 500 businesses to fast growing DTC businesses, and supports 10 languages including English, Spanish, and Italian.", "one_liner": "AI that creates and runs ads, end-end", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1760555997, "tags": [ "B2B", "Marketing", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/lapis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lapis.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lapislabs", "x_url": "https://x.com/trylapis", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lapis-labs", "github_url": "https://github.com/trylapis", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/df9bacd59e8691b297a03e4d95b6d05915aa8b7f.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": 482153, "full_name": "Varunram Ganesh", "title": "Founder/CEO", "founder_bio": "CEO of Lapis. Previously, I was Head of Growth at Warp (YC W23) where I built the sales and marketing functions from scratch and took Warp from 0 to $2.5M. I am an engineer and I did bitcoin research (wrote code) at the MIT Media Lab for two and a half years.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varunramg/", "x_url": "https://x.com/varunramg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0bd44afb838e64b0fc7617bff42e5638d566c1f1.jpg" }, { "user_id": 2840361, "full_name": "Sai Surbehera", "title": "Founder/CTO", "founder_bio": "CTO at Lapis. Previously, I was an MLE at Walmart Tech where I built the recall and reranking algorithm for Walmart Search.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saisamrit-surbehera/", "x_url": "https://x.com/saibuilds", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a937dd319ce406fd497df61e128fffb70c71680.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94694, "title": "Lapis: The fastest, most accurate AI search analytics platform", "tagline": "Full stack analytics platform that shows you what users are searching and helps you rank higher on ChatGPT, Claude, Perplexity, Gemini, and Grok.", "body": "Hey everyone! We are [Varunram](https://www.linkedin.com/in/varunramg/) and [Sai](https://www.linkedin.com/in/saisamrit-surbehera/), and we’re building Lapis.\n\nThe way we access information is fundamentally changing and ChatGPT is the new default for a large number of people. Unlike Google which shows you a list of blue links to click on, ChatGPT adds additional context and traditional SEO elements like rank and authority are no longer relevant.\n\nHere’s a fun video that encapsulates this perfectly: https://youtube.com/shorts/A1zkkdpXsjM?si=TIR2PpnO9Du4DV2O\n\n# What is Lapis?\n\nLapis helps you rank on AI Search Engines (we currently support ChatGPT, Claude, Perplexity, Gemini, and Grok) without generating hundreds of blogs.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d7152bae-e95b-49de-b222-45d4b18a7359)\n\nWe manage to do this by extensively analyzing Model responses and a combination of real-time content fixes, technical SEO, and linking websites on domains that are mentioned in models.\n\n# Analyzing AI Search Models\n\nWe spend over 650M tokens a day understanding responses for our customers. We construct a super detailed graph of all websites that show up for a given question, analyze the referenced content, and organically insert content on similar pages. This gives us accurate knowledge on what works and what doesn’t work. We want to learn from the models themselves, not create a rough set of heuristics on what might work.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/fd2bcb1a-26e6-4e76-bf93-34b66739c122)\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/cd700a82-7da5-4eb8-9002-fd9152235052)\n\n# Changing Website Content Dynamically\n\nWe dynamically change your website content in real time for AI Search Engines. If Lapis is deployed on a company that does payroll software and a user asks a model “What is the best payroll software”, we highlight them as being the best payroll software and if a user asks “Can you create a comparison table with the top 10 payroll softwares”, we can highlight exactly where the company shines wrt other payroll providers. This removes the guesswork from landing pages for sales and marketing teams, and users and AI Agents get the information they are looking for.\n\n![uploaded image](/media/?type=post&id=94694&key=user_uploads/482153/d950c296-eaf8-4146-bc19-2d5ef8b2b621)\n\n# Removing the black box from Technical SEO\n\nWe fully take care of Technical SEO. For long, SEO has been this black box which no one understands. We solve that through Lapis Agent, which can automatically add meta tags, title tags, Opengraph URLs, sitemaps, and much more. For marketers, this means they don’t have to write code or trouble the engineering team. This also means they don’t have to spend hours with SEO teams on something that can be easily automated.\n\n# Discovering Hidden Markets\n\nMany times, teams don’t know that there’s a huge untapped market waiting for them. With our extensive analysis of prompts, we show all the queries for which businesses are actually showing up for, which means teams get insights into verticals where there’s huge untapped potential.\n\nWe want businesses to understand AI Search without the buzzwords. We want them to organically position themselves for this new shift, and to do so without generating spam content that actively harms website reputation.\n\nWe support over a hundred fast growing startups like Warp, Reducto, and Greptile on Lapis, and if you’re a founder or marketer, I think you’ll find a ton of value in using us.\n\nAnd its free to start, so check it out at trylapis.com!", "url": "https://www.ycombinator.com/launches/OdK-lapis-the-fastest-most-accurate-ai-search-analytics-platform", "votes": 535, "created_at": "2025-10-16T14:56:34.684Z" } ] }, { "id": 30828, "name": "Semiotic", "slug": "semiotic", "former_names": [ "Mooodboard" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4bdfd8767934d0004a0927458374ac99619350f.png", "website": "http://semiotic.com", "all_locations": "San Francisco, CA, USA", "long_description": "Semiotic builds AI design agents. We’re starting with agents that build landing pages for fast‑growing startups. \r\n\r\nExisting AI website builders didn't make creating websites easier—they made creating ugly websites easier. So, companies choose between blue-purple gradient slop or agencies with 3-month waitlists and $100k minimums.\r\n\r\nYou don't have to choose anymore. \r\n\r\nStart a project: semiotic.com", "one_liner": "Studio-Grade Design at Scale", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1760501936, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/semiotic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/semiotic.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/semiotic-intelligence/", "x_url": "https://x.com/SemioticHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4bdfd8767934d0004a0927458374ac99619350f.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": 1797226, "full_name": "Michael Roberson", "title": "Founder/CEO", "founder_bio": "CEO @ Semiotic. Dropped out of Columbia (Computer Science + Cognitive Science). Previously founded a $30k/mo design studio. Former UX intern @ Amazon & brand design intern @ Landor. IG:@michaelhroberson", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-h-roberson/", "x_url": "https://x.com/michaelhrobersn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a885f56662ab17733bd4452e86c4edbbe5e6958.jpg" }, { "user_id": 2664753, "full_name": "Bryan Grisales", "title": "Founder/CTO", "founder_bio": "CTO @ Semiotic. CS + Math at Columbia and AI research at Columbia's Computational Design Lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryan-grisales/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d23fce460d03d46683bb6639717d4fd562e1ca6d.jpg" }, { "user_id": 2930320, "full_name": "Brandon Yao", "title": "Founder/COO", "founder_bio": "COO @ Semiotic. Studied Computer Science and Economics at Columbia before dropping out. Previously did research with the Chief Economist of OpenAI and worked at a handful of YC-backed startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandonyao/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/325d80f3d25218cb51e7f9f7ca2f1cf524cc9d62.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95149, "title": "Semiotic: AI Design Firm", "tagline": "Landing pages for SF's fastest growing startups.", "body": "**TL;DR:** We’ll design your company’s landing page better and faster than any design agency in your LinkedIn inbox right now.\\\n\\\nWe’re building an AI design firm to out-think, out-design, and out-produce human design teams. In just 4 weeks since launch, we’ve generated $78,000 in revenue.\\\n\\\nhttps://youtu.be/edCfH_UGLC0\n\nMost design teams are inefficient at nearly every step of the process—onboarding, research, execution, handoff—all still done manually because it’s “the right way,” (i.e.) the old way.\n\nI (Michael) know this because I ran a (human) design studio for four years, from late high school through my sophomore year in college, and interned at one of the world’s largest design agencies.\n\nMy cofounders and I previously spent six months building design tools and talking to over 300 designers—from freelancers to global firms—only to find out that most of these **inefficiencies are so deeply entrenched that selling software wasn’t an option.**\n\nThe only solution is to rebuild the design firm itself.\n\n![uploaded image](/media/?type=post&id=95149&key=user_uploads/1797226/fbf846ab-8752-4fe4-b06d-f05fbc2c3bc6)\n\n\\\n\\\n**ASK:**\n\nIf you’re looking for a new landing page, **scroll through our [portfolio](http://www.semiotic.so/).** If a friend of yours needs a website, [send them our way](https://cal.com/team/semiotic/30min)!", "url": "https://www.ycombinator.com/launches/Okf-semiotic-ai-design-firm", "votes": 62, "created_at": "2025-11-04T14:36:24.715Z" } ] }, { "id": 30829, "name": "Remedy", "slug": "remedy", "former_names": [ "TalkRx" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9775c990b59973e626bccf8bbb0b22ead6b88d7e.png", "website": "http://www.useremedy.co", "all_locations": "", "long_description": "Streamline prescription refills, reduce workload, and enhance patient care with intelligent automation.", "one_liner": "AI Agents for Pharmacies", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1758854629, "tags": [ "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Acquired", "industries": [ "Healthcare" ], "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/remedy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/remedy.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/remedytechnologies/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9775c990b59973e626bccf8bbb0b22ead6b88d7e.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": 2698679, "full_name": "Vishnu Sreenivasan", "title": "Founder/CEO", "founder_bio": "Remedy | Brown", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vsreenivasan/", "x_url": "https://www.x.com/vbsreenivasan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7abb31fa81b8f30c37a7156a4bd01eb021ae6a80.jpg" }, { "user_id": 2695241, "full_name": "Nikhil Devaraj", "title": "Founder", "founder_bio": "AI Agents for Pharmacies | Previously @ UMich", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikhildevaraj/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb873da87c956b2ea7c49472e03bbf7d6367ab55.jpg" }, { "user_id": 1928774, "full_name": "Sai Mandhan", "title": "Founder", "founder_bio": "OpenAI, Remedy, NASA, Brown", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/saimandhan/", "x_url": "https://x.com/saimandhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c4f85236cd4ebcf6e191c6774509949cac024cc.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30835, "name": "Brickanta", "slug": "brickanta", "former_names": [ "Brickanta AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f5fc73a5deec1c3a7c627cea71c8345b56ca431.png", "website": "https://www.brickanta.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Brickanta – agentic AI for society builders. Hundreds of construction-specific AI agents for project analysis, insights, tenders, procurement, and more. Combine the latest AI technology with your organization's project data, templates, and workflows to identify risks and opportunities early and produce better decision support. Brickanta has raised $8 million from leading AI, construction, and real estate investors behind companies like OpenAI/ChatGPT, Airbnb, Klarna, Spotify, and Plangrid-Autodesk, as well as star investors such as Mario Götze, Anton Osika, and Northzone (see movie and press). The founding team has been building and implementing AI in construction and industry since 2018 at companies such as ABB, Fabege, Husqvarna, IKEA and Konecranes.\r\n", "one_liner": "Agentic AI for Society Builders", "team_size": 25, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759093006, "tags": [ "Machine Learning", "Construction", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/brickanta", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/brickanta.json", "year_founded": 2025, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/brickanta/", "x_url": "https://x.com/brickanta", "fb_url": "https://www.facebook.com/people/Brickanta/61581151975393/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f5fc73a5deec1c3a7c627cea71c8345b56ca431.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": 654502, "full_name": "Lucas Otterling", "title": "Founder/CEO", "founder_bio": "Building Brickanta - agentic AI for society builders (construction and real estate). GTM-focused co-founder, ex-professional footballer and ex-indie app developer. International digital nomad with experience from living in Sweden, the US, the UK, Germany, South Africa, Italy. Vipassana Meditator :-)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-otterling/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73da19e06e37ceaf7619b5c12857ac4c440cff35.jpg" }, { "user_id": 2911315, "full_name": "Linus Bein Fahlander", "title": "Founder/CTO", "founder_bio": "Building Brickanta (F25) together with Lucas Otterling.\nWe are trying to give time back to one of the most critical roles in construction companies, the estimator.\nWe believe that builders shouldn't spend heaps of time searching through 1000s of documents - they should be building", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/linus-bf/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/141b6daae22ebd334ced9aa05a14199614305160.jpg" } ], "jobs": [ { "id": 88845, "title": "Business Intern - Summer 2027", "url": "https://www.ycombinator.com/companies/brickanta/jobs/LFdioyl-business-intern-summer-2027", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88846, "title": "Construction Engineer - Bygg / Entreprenadingenjör (Swedish) ", "url": "https://www.ycombinator.com/companies/brickanta/jobs/4o0G3W1-construction-engineer-bygg-entreprenadingenjor-swedish", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Product", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88847, "title": "Software / AI Engineering", "url": "https://www.ycombinator.com/companies/brickanta/jobs/DKZym3b-software-ai-engineering", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88848, "title": "Open Application - if you’re a builder, reach out", "url": "https://www.ycombinator.com/companies/brickanta/jobs/RPicnce-open-application-if-you-re-a-builder-reach-out", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Product", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 88849, "title": "GTM Engineer - build the bridge between product and revenue", "url": "https://www.ycombinator.com/companies/brickanta/jobs/i9EAeCM-gtm-engineer-build-the-bridge-between-product-and-revenue", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108060, "title": "Business Developer ", "url": "https://www.ycombinator.com/companies/brickanta/jobs/Ug4Njo7-business-developer", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108061, "title": "Construction Evaluation Engineer - Part-Time", "url": "https://www.ycombinator.com/companies/brickanta/jobs/KfaKQd2-construction-evaluation-engineer-part-time", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108062, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/brickanta/jobs/2fZBSaD-forward-deployed-engineer", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108063, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/brickanta/jobs/s9Efs6z-account-executive", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108065, "title": "Developer Intern - Summer 2027", "url": "https://www.ycombinator.com/companies/brickanta/jobs/XmiJoZB-developer-intern-summer-2027", "location": "Stockholm, Stockholm County, SE", "type": "Contract", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 108188, "title": "Solution Engineer - Integrations Focus", "url": "https://www.ycombinator.com/companies/brickanta/jobs/9PcN4kH-solution-engineer-integrations-focus", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$1K - $100K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 110236, "title": "Brand Marketing Manager", "url": "https://www.ycombinator.com/companies/brickanta/jobs/8raDa8o-brand-marketing-manager", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$1K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 94176, "title": "Brickanta 🧱 the construction estimator's best friend 👷‍♂️🏗️", "tagline": "Cursor for construction estimation & project management", "body": "👋 We’re [Brickanta](https://brickanta.com/) (F25), building _cursor for construction estimation & project management._\n\n**TL;DR**: Our AI platform analyzes construction estimates and project details to automate admin work, reduce errors, and accelerate delivery. 👉 _We’d appreciate your social media hype support and any potential intros, as we look to make more connections in the construction and real estate industry._\n\n**Why this matters**\\\nConstruction projects run on mountains of paperwork, drawings, and codes. Miss one item, and budgets blow up — every year, it costs the small European country of Sweden over $11 billion (according to the government itself) and the global industry _hundreds of billions_ every year. Estimators and PMs are the heroes who keep projects on track, but today they’re buried in manual work.\n\n**How Brickanta helps**\\\nOur AI reads and organizes project docs, flags missing items & compliance risks, and supports cost analysis, tendering, and planning. It’s trained on standardized building protocols (starting with the Swedish versions of the Eurocodes, soon more countries) and integrates the systems that construction already runs on, like MS SharePoint, Outlook, and Teams — helping teams work faster, catch risks earlier, and protect margins.\n\n🎥 YC Launch Video:\n\nhttps://www.youtube.com/watch?v=za8Ya5GxMRE\n\n\\*\\*Excited to support?\\*\\*\\\n👷‍♂️🛠️👷‍♀️ We’re officially launching this week with exclusive media interviews, first public customer story, new brand + website, and more. Please check out and follow our newly created channels listed at the bottom to be part of the journey — and offer some hyping support :-)\\\n\\\n🏗️ We’d also love intros into construction and real estate companies - our MVP is currently focused on European markets (that share the fundamental [Eurocodes](https://eurocodes.jrc.ec.europa.eu/) framework)- where estimation and project management are critical.\\\n\\\n🧱🏗️  [**YouTube**](https://www.youtube.com/@Brickanta) │ [**LinkedIn**](https://www.linkedin.com/company/brickanta) │ [**X**](https://x.com/brickanta)  │ [**Facebook**](https://www.facebook.com/people/Brickanta/61581151975393/)  │ [**Instagram**](https://www.instagram.com/brickanta/?fbclid=IwY2xjawM7_n1leHRuA2FlbQIxMQBicmlkETBwMHVWZlByYk04ZW5iYnEyAR7vPpHY7lQF8Ow_5pNc9wsKP5V4us-fiDMJeepUZEwbeblZ39mJOYOA4lr1Eg_aem_5RLOiHcY_lmVUvys8OicmA) │ [**TikTok**](https://www.tiktok.com/@brickanta)\n\nYou can reach the founders on [founders@brickanta.com](mailto:founders@brickanta.com).\n\n🎥  Construction-audience-focused commercial launch video: https://www.youtube.com/watch?v=mwDEeXxtiQE", "url": "https://www.ycombinator.com/launches/OUy-brickanta-the-construction-estimator-s-best-friend", "votes": 17, "created_at": "2025-09-29T22:33:27.857Z" } ] }, { "id": 30837, "name": "AirCaps", "slug": "aircaps", "former_names": [ "Vued" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/839111803eb4ccce6e6e411847617a96d8d7d880.png", "website": "https://aircaps.com", "all_locations": "San Francisco, CA, USA", "long_description": "AirCaps is bringing AI assistance to in-person conversations. \r\n\r\nOur AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision.\r\n\r\nYou can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation.\r\n\r\nWe’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face.\r\n\r\nWe’ve already processed 16,500 hours of real-world conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations.\r\n\r\nWe did $93K in revenue in October and grew 6.5x from September while spending <$3K on marketing (and hit $70K in revenue in the first 2 weeks of November). Our power users average 6h+ daily usage and our day-30 retention is 91%.\r\n\r\nWe previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes.\r\n\r\nMadhav (CEO, Yale CS) has been building in audio and AR since age 13, starting with Google Glass apps and voice assistants for Raspberry Pis. He researched audio AI at the MIT Media Lab. Nirbhay (CTO, Cornell CS) built voice AI on smart glasses in high school and built conversational AI products as the first engineer at 2 YC startups.", "one_liner": "The AI copilot for in-person conversations.", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1760571679, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/aircaps", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aircaps.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryaircaps/", "x_url": "https://x.com/tryaircaps", "fb_url": "https://www.facebook.com/tryaircaps/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/839111803eb4ccce6e6e411847617a96d8d7d880.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": 2955798, "full_name": "Madhav Lavakare", "title": "Founder/CEO", "founder_bio": "I've been obsessed with audio and AR for 11 years (46% of my life). I built my first voice assistant on a Raspberry Pi at age 12. I built my first apps for the Google Glass when I was 13 years old.\n\nI studied C.S. at Yale, where my senior thesis focused on extracting clean speech transcripts from noisy multi-speaker audio. In the past, I've researched audio AI at the MIT Media Lab where I was part of the team that built the world's first collaborative human-AI live musical concert.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/madhav-lavakare/", "x_url": "https://x.com/madlavak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/006b581c3973d7aa1919c0cbfcdf397553ee2a1e.jpg" }, { "user_id": 2741993, "full_name": "Nirbhay Narang", "title": "Founder/CTO", "founder_bio": "I studied C.S. at Cornell and graduated Summa Cum Laude. I built my first voice apps for AR glasses in high school (an emotional support tool for people with autism). In college, I spent summers as the first engineer at YC startups, building conversational and voice AI platforms for therapy. I've done HCI research at Cornell and have been supported by several fellowships (8VC Fellowship, Kessler Fellowship).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nirbhay-singh-narang-6188a11ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b1cfd1e9597a2e1fa27416aae99a591601cf509c.jpg" } ], "jobs": [ { "id": 93237, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/aircaps/jobs/J0hKNkF-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Kotlin", "Python", "Swift" ] } ], "news": [], "launches": [ { "id": 95216, "title": "AirCaps - The AI copilot for in-person conversations.", "tagline": "Bringing AI assistance to in-person conversations, overlaid onto your field of vision.", "body": "**TLDR;** **AirCaps is bringing AI assistance to in-person conversations.** \n\nOur AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision.\n\nYou can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation.\n\nWe’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face.\n\nWe’ve already transcribed 16,500 hours of in-person conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations.\n\nWe did $93K in revenue in October and grew 6.5x from September while spending <$3K on marketing (and hit $70K in revenue in the first 2 weeks of November). Our power users average 6h+ daily usage and our day-30 retention is 91%.\n\nWe previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes.\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/854295/06ddc792-97ec-4338-be78-adbcd7f493c1)\n\n**The Problem**\n\nThe average person struggles to understand and retain 50% of in-person conversations, forgets 70% within 48 hours, and can't review any of it.\n\nWe have 20-30 in-person conversations daily, meaning humanity generates \\~200B in-person conversations (on average 10 minutes, generating 36 billion hours of content) every single day.\n\nWhile virtual meetings have captions, recordings, and hundreds of AI assistants, these in-person conversations remain completely unassisted by technology.\n\nWhy?\n\n1. Form factor: There's no socially acceptable way to assist conversations in real-time. Phones kill eye contact, AirPods create audio-on-audio confusion, laptops are obvious.\n2. Technical complexity: Real-world audio is fundamentally messier - background noise and overlapping speech make it exponentially harder than virtual meetings. Most companies give up at 80% accuracy.\n\n[https://youtu.be/avyjB3LMTI4](https://youtu.be/avyjB3LMTI4?si=Mv9-h9PaKb5Yjx1M)\n\n**Our Solution**\n\nWe're finally bringing AI to real-world conversations. We’re deploying our software on a discreet, socially acceptable, always-on, and hands-free visual interface: AR glasses.\n\nOur earliest customers are people who need help understanding conversations (captions for real life) or translating languages for in-person business meetings, and meeting-heavy professionals - healthcare workers, executives, salespeople - who need real-time AI assistance during high-stakes conversations but can't use screens without breaking eye contact.\n\nWe’re building the killer app for the next platform: think Spotify / Instagram for phones before everyone had a phone.\n\nAR glasses are the only form factor that works for in-person conversations: \n\n* Always-on recording without disruption\n* Visual display in your field of view for real-time assistance (not just post-hoc)\n* Hands-free mobility and greater environmental awareness\n* Superior audio capture for better data ingestion\n* Greater social acceptability compared to phones, headphones, or other wearables for meetings (people already wear glasses)\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/2955798/21e61d6f-e1c0-4361-af8f-af21fb3b87e3)\n\n**The Team**\n\nMadhav and Nirbhay have been obsessed with voice technology and AR for 11 years and met at an AR hackathon in the summer of 2024.\n\nMadhav (CEO, Yale CS) built his first Google Glass apps at age 13 and his first Jarvis voice assistant for RPis at age 14. He researched audio AI at MIT Media Lab, where he was part of the team that built the world's first live AI-human musical co-performance. His Yale thesis focused on extracting clean transcripts from noisy multi-speaker audio.\n\nNirbhay (CTO, Cornell CS) started building voice AI on smart glasses in high school, developing an emotional support tool for people with Autism. He's previously built voice and conversational AI platforms for therapy as the first hire at several early-stage (including YC) startups.\n\n![uploaded image](/media/?type=post&id=95216&key=user_uploads/2955798/be18a62d-22bf-493e-a76c-b222b16a933d)\n\n**Why Now**\n\nThere’s never been a better time for us: AI is becoming faster & more accurate for speech, and people are starting to default to AI assistance for conversations: 3 out of every 4 professionals uses AI notetakers for virtual meetings. And not to mention: Meta, Apple, Google are investing $200B+ to ensure everyone wears AR glasses.\n\n**Ask**\n\nIf you know doctors who use medical transcription services, or organizations that rely on field sales (real estate, home services, retail), please connect us!", "url": "https://www.ycombinator.com/launches/Olk-aircaps-the-ai-copilot-for-in-person-conversations", "votes": 40, "created_at": "2025-11-05T20:58:09.488Z" } ] }, { "id": 30844, "name": "Uplane", "slug": "uplane", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png", "website": "https://uplane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Uplane replaces marketing agencies with AI. We generate hundreds of ads with matching landing pages and steer the ad spend across channels like Meta, Google, LinkedIn and others. By connecting to CRM and ERP data, Uplane learns what drives profits and continuously improves campaigns.\r\n\r\nCompanies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. The result: Higher ROAS for enterprises and effortless, expert-level marketing for SMBs.", "one_liner": "Replace marketing agencies with AI", "team_size": 26, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1759250646, "tags": [ "SaaS", "B2B", "Analytics", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/uplane", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uplane.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uplane-com", "x_url": "https://x.com/uplane_com", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/uplane", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0d7831fd25ce874238df0079276b6ea6b651dda.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2716487, "full_name": "Julius Körfgen", "title": "Founder/CEO", "founder_bio": "Managed 7-digit monthly ad spend as a Marketing Director of one of the fastest-growing D2C brands in Europe. Scaled a lead platform from 0 to >$10M monthly revenue in just 12 weeks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julius-koerfgen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c23c3638c973e3e831769089ee1a530e0df0be2.jpg" }, { "user_id": 822694, "full_name": "Marvin Abdel-Massih", "title": "Founder/COO", "founder_bio": "Studied Computer Science, Data Science, and Business at Imperial, TUM and Harvard. Received 4 different academic scholarships. Declined McKinsey offer to become right hand of a unicorn founder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marvinabdel-massih/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd3a0aef8edb6c177aee2a6a489196365ace23c.jpg" }, { "user_id": 346365, "full_name": "Lukas Vollmer", "title": "Founder/CTO", "founder_bio": "Has 15 years of fullstack experience, was Head of Engineering at two former YC companies and won Product of the Month at Product Hunt.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukasvollmer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c8f2712ca84d086b4785315bf932a42367dd301.jpg" } ], "jobs": [ { "id": 91103, "title": "AI Marketing Strategist - San Francisco", "url": "https://www.ycombinator.com/companies/uplane/jobs/aFjvQEb-ai-marketing-strategist-san-francisco", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93708, "title": "AI Marketing Strategist Intern - San Francisco", "url": "https://www.ycombinator.com/companies/uplane/jobs/TEEElmy-ai-marketing-strategist-intern-san-francisco", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 94434, "title": "AI Marketing Strategist Intern - Berlin (German Speaking)", "url": "https://www.ycombinator.com/companies/uplane/jobs/Gb8bLOl-ai-marketing-strategist-intern-berlin-german-speaking", "location": "Berlin, Berlin, DE", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "€2.41K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 96251, "title": "AI Marketing Strategist - Berlin (German Speaking)", "url": "https://www.ycombinator.com/companies/uplane/jobs/lBJkLEw-ai-marketing-strategist-berlin-german-speaking", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€60K - €100K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Marketing design" ] }, { "id": 113831, "title": "Growth Operations", "url": "https://www.ycombinator.com/companies/uplane/jobs/GjRkpRq-growth-operations", "location": "San Francisco, CA, US / Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Pitch Deck: Uplane Raised $4.5 Million to Replace Marketers With AI - Business Insider", "url": "https://www.businessinsider.com/pitch-deck-uplane-raised-funding-to-replace-marketing-agencies-ai-2026-4", "date": "Apr 15, 2026" } ], "launches": [ { "id": 94720, "title": "Uplane: Replace your marketing agency.", "tagline": "Uplane increases return on ad spend by 20-50% by automating digital marketing with AI.", "body": "### TL;DR\n\nUplane (YC F25) is building AI software to replace marketing agencies.\n\nTheir AI has already created thousands of ads and landing pages, delivering a 20-50% increase in return on ad spend for their customers.\n\nCompanies waste billions on bad campaigns because they don’t have the time to do the research, personalization, and A/B testing to do the job right.\n\nUplane builds an all-in-one marketing platform that uses AI to create, launch, and test ad campaigns across Meta, Google, Taboola, TikTok, and others. The software delivers new, creative ideas, and gives full flexibility to ensure every marketing message is on brand and compliant.\n\nIn marketing, speed and analytics are essential. Humans simply can’t catch up with the speed and precision of AI.\n\nBook a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch) now.\\\n\\\nhttps://www.youtube.com/watch?v=rUhS6pz4-hs\n\n### Problem\n\nFor years, the promise of digital marketing has been data-driven revenue growth at scale. The reality for most marketers, however, is a losing battle fought with manual work.\n\nMarketing teams and their agencies are drowning in a sea of spreadsheets, unreliable data, and siloed ad platforms. They are buried in repetitive tasks: endlessly creating and testing ad variations, designing new landing pages, trying to make sense of the data, and manually shifting budgets across ads and channels. This makes it impossible to move at the speed and precision the market demands.\n\nThe result: billions of dollars are lost due to low-performing marketing campaigns. No human can do the manual work that is required to do the job right.\n\n### Solution\n\nUplane replaces manual work with AI automations.\n\n💡 **Phase 1) Insight & Creation:** Uplane analyzes the target audience, brand style, ads, competitors' ads, and even real-time market trends. It uses these insights to instantly generate thousands of ads and matching landing pages.\n\n🚀 **Phase 2) Launch & Management:** Select your favorite ads, and with a single click, campaigns go live across all channels. Uplane takes over, managing everything 24/7. It monitors performance and shifts budget to the ads and channels that deliver the highest return.\n\n📈 **Phase 3) Learning & Scaling:** Built-in dashboards give instant transparency. The insights from the data are not just useful for marketers but also for our AI. It continuously tracks ad performance, identifies best value propositions and designs, and gets smarter with every conversion. Thus, it creates better ads with every iteration.\n\n### Our Ask\n\nUplane is working hand-in-hand with ambitious companies that want to scale their marketing profitably, eliminate manual work, and make marketing that their customers love.\n\nWant more customers? Let’s talk.\n\n📅 Book a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch)\n\n👉🏻 Follow us on [LinkedIn](https://www.linkedin.com/company/uplane-com) and [X](https://x.com/uplane_com)\n\n💬 Share this post with people in your network", "url": "https://www.ycombinator.com/launches/Odk-uplane-replace-your-marketing-agency", "votes": 19, "created_at": "2025-10-17T17:21:33.522Z" } ] }, { "id": 30845, "name": "Structured AI", "slug": "structured-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png", "website": "https://www.getstructured.ai/", "all_locations": "New York City, NY, USA", "long_description": "Structured AI is the most advanced AI-powered QA/QC platform for drawing packages, working across both PDF drawings and native Revit models. Architects and engineers use our platform to make every drawing set leave the office with certainty. \r\n\r\nOur AI agents learn your firm's standards, apply the relevant codes, and read every page of a set, then return a clear list of what's wrong, where it sits, and how to fix it. Run compliance reviews across thousands of pages in minutes, chat with your drawings for sourced answers, build custom checks in plain English, compare versions, overlay disciplines, and close out comments - all within a single platform, with a full audit trail on every finding.\r\n\r\nFor decades, the last line of defense on a drawing set has been a red pen at the end of a deadline week. But buildings have outgrown the red pen. A modern set runs thousands of drawings, and the errors hiding between them threaten quality and safety, not just cost. What manual review misses resurfaces as RFIs, change orders, and field rework, paid for in time, margin, and reputation.\r\n\r\nStructured AI catches those errors before they leave the office, capturing the judgment of your best reviewer once and applying it everywhere.\r\n\r\nBetter drawings build a better world. #GetStructured", "one_liner": "The AI drawing review platform for architects and engineers.", "team_size": 11, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1759212406, "tags": [ "Computer Vision", "Construction", "Architecture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/structured-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/structured-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getstructured-ai/", "x_url": "https://x.com/getstructuredai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/structured-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1527607, "full_name": "Raymond Zhao", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Structured AI, the AI workforce for construction engineering, \nMaths & Stats @ Oxford, ex quant @ Goldman Sachs. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raymondz1/", "x_url": "https://x.com/stingrayzz22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cbbee4d694fafca111cf86dc84d19d825ff0d50.jpg" }, { "user_id": 1980623, "full_name": "Issy Greenslade", "title": "Founder/COO", "founder_bio": "Cofounder & COO @ Structured AI, the AI workforce for construction engineering. Top of year Economics & Management @ Oxford University, previously IB at Greenhill & VC at Future Planet Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/isabelgreenslade/", "x_url": "https://x.com/Green181024", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1d9ab429d7fe98ac409eb160b5330e6c4be1745.jpg" }, { "user_id": 2338111, "full_name": "Brandon Abreu Smith", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO @ Structured AI, making the AI workforce for construction design engineering.\nPhysics @ Oxford University | First authored NeurIPS paper, 30 citations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-abreu-smith/", "x_url": "https://x.com/brandonstarxel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7aa033f9847f2ead9af2c7e8315fa9408138279e.jpg" } ], "jobs": [ { "id": 85823, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/Cxvgr61-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Computer Vision" ] }, { "id": 98428, "title": "Founding Account Executive ", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/DaRbXNw-founding-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $220K", "equity_range": "0.30% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115779, "title": "Founding Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/vZdpLe1-founding-infrastructure-engineer", "location": "New York, NY", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$180K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Microsoft Azure", "Kubernetes", "Python", "Docker", "Terraform" ] } ], "news": [ { "title": "Construction Quality Startup Structured AI Raises $4.2M Seed Round", "url": "https://www.enr.com/articles/63139-construction-quality-startup-structured-ai-raises-42m-seed-round", "date": "Jun 09, 2026" }, { "title": "Structured AI Founders named Forbes 30 Under 30", "url": "https://www.forbes.com/profile/structured-ai/?list=30under30-europe-ai/", "date": "Apr 13, 2026" }, { "title": "I'm Glad I Gave up My Goldman Sachs Dream: Y Combinator AI Startup CEO - Business Insider", "url": "https://www.businessinsider.com/accepted-y-combinator-ai-startup-batch-dream-working-goldman-sachs-2025-10", "date": "Oct 23, 2025" }, { "title": "WSJ: Europe’s AI Startups Look Stateside for Bigger Checks, Quicker Deals", "url": "https://www.wsj.com/tech/ai/europes-ai-startups-look-stateside-for-bigger-checks-quicker-deals-1a1dff43?", "date": "Oct 04, 2025" } ], "launches": [ { "id": 94607, "title": "Structured AI📐: Agentic workforce for construction design engineering", "tagline": "Our AI workforce generates design documents and checks them for errors, right inside your existing software.", "body": "### **TL;DR**\n\nStructured AI is building the **AI workforce for construction design engineering**, starting with AI agents that perform quality control on technical documents and drawings. Our agents learn your standards, apply the right building codes, and **automatically review your drawings**, so you see fewer clashes, fewer inconsistencies, and fewer costly RFIs and change orders.\n\n* ⚙️ **Automates QA/QC** across mechanical, electrical, structural and more\n* 🧩 Used by **multi-disciplinary design firms** to deliver projects faster with less risk\n* 🚀 **Mission:** Free engineers to focus on creative design, not repetitive admin\n\nLaunch Video: https://youtu.be/CRFsqOTynng\n\n### **❌ The Problem**\n\nThe construction industry's reliance on manual \"spot-checking\" for design errors costs **$177 billion** annually to fix mistakes that are discovered too late.\n\nSenior Engineers spend up to **50%** of their time cross-referencing 100-page drawing sets against 2,000-page building regulations by hand. This process is slow, tedious, and unreliable.\n\nErrors that are missed become exponentially more expensive to correct once construction is underway, causing massive project delays and budget overruns.\n\n---\n\n### **⚙️ The Solution**\n\nStructured AI is the **AI Quality Assurance platform.**\n\n1. **Proprietary Vision & Agents:** We trained a foundational vision model on **thousands** of engineering symbols to read plans like an expert.\n2. **100x Faster, 150% More Errors:** Our AI checks 100-page blueprints against 2,000 pages of building codes **in minutes.**\n3. **Cross-trade Checks:** Learns firm standards to detect inconsistencies across documents, drawings and Revit models, reducing cross-trade clashes before they occur.\n\n ![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/252c0ccd-bd5b-4118-b05f-1f9767d981a6)\n\n\n---\n\n### **👷‍♀️ The Team**\n\nThe team is made up of **Oxford University–trained AI researchers** with deep experience building software tools for AEC and enterprise automation, having developed and scaled in-house AI tools at **Syska Hennessy Group**, a top US MEP (mechanical, electrical, plumbing) engineering firm. \n\n* **Brandon (CTO):** Authored papers for **NeurIPS** and **ChromaDB** (reviewed by Stanford's AI Lab) and created the first open-source **RAG chunking evaluation** framework.\n* **Raymond (CEO):** Built automation at **Goldman Sachs** and the **London Stock Exchange**; implemented an AI system at a £1B VC that increased deal flow 20×.\n* **Issy (COO):** First undergrad Director at Oxford's VC Fund, led investments later backed by a16z and Tim Draper; previously investment banking at **Greenhill.**\n\n### **🏗️ Why Construction Engineering?**\n\nBrandon started coding and making games when he was 12. At 17, a YouTube video he made demonstrating a fighter jet trained with deep reinforcement learning to dodge missiles went viral. This led to him being scouted by a US construction contractor to apply that same algorithm to MEP pipe routing optimization. He then spent the next six years, throughout high school and university, contracting and building AI tools for the construction and engineering industry. He later led innovation and scaled AI tools in-house at a top US engineering firm, ultimately spinning out with his team to form Structured AI.\n\nRaymond initially pursued architecture and engineering, but was talked out of the profession during an internship. Junior architects warned him about the extensive manual \"grunt work\" that defined their roles, a prospect that deterred him so much he switched his studies to Maths & Stats at Oxford. He now views his work freeing engineers from these very tasks as a full-circle moment, allowing them to focus on their passions.\n\n![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/1e2f9415-f8f3-419c-92d8-0e007f9919b9)\n\n---\n\n### **🙏 Our Ask**\n\nIf you lead **mechanical, electrical, civil, or structural design teams** and want to automate documentation or QA workflows, we’d love to show you Structured AI.\n\n👉 Book a call: https://www.getstructured.ai/ \n\n📩 Contact: [info@getstructured.ai](mailto:info@getstructured.ai) ", "url": "https://www.ycombinator.com/launches/Obv-structured-ai-agentic-workforce-for-construction-design-engineering", "votes": 212, "created_at": "2025-10-14T19:17:28.011Z" } ] }, { "id": 30846, "name": "Parse", "slug": "parse-bot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd2b15ce8a8e404c0ec54c33a17f938963c26455.png", "website": "https://parse.bot", "all_locations": "San Francisco, CA, USA", "long_description": "Parse lets developers build APIs for any website. Unlike traditional scraping tools that rely on slow, expensive headless browsers, Parse examines websites' underlying network requests and generates API endpoints automatically. This makes Parse 10-100x faster and cheaper than browser automation,. ", "one_liner": "Build an API to interact with any website.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761590739, "tags": [ "Developer Tools", "API", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parse-bot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/parse-bot.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parsedotbot/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd2b15ce8a8e404c0ec54c33a17f938963c26455.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": 986516, "full_name": "Alex Forman", "title": "Founder/CEO", "founder_bio": "I've been obsessed with web automation since I was 12, when I taught myself to code building sneaker bots. That early experience showed me how broken traditional scraping tools were. I launched Parse in August, hit 30K users in 3 weeks, and dropped out of Berkeley Engineering to make it the best way to programmatically interact with the internet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-k-forman/", "x_url": "https://x.com/alexscraping", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59702956ea6d63e0855337ff76388880de105352.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95327, "title": "Parse - APIs for any website", "tagline": "Build APIs for any website that are 100X faster than browser automation", "body": "# **Launch BF: Parse - Build APIs for any website that are 100x faster than headless browsers**\n\nTLDR: [Parse](http://parse.bot/) reverse engineers websites and builds deterministic APIs for scraping and web automation. Instead of spinning up slow, expensive headless browsers, Parse makes deterministic APIs that use direct network requests that **cost fractions of a cent and return in milliseconds**.\n\n![uploaded image](/media/?type=post&id=95327&key=user_uploads/986516/c6b55ddc-9855-4030-84b7-a70e251330da)\n\n**The Problem**\n\nHeadless browsers are the default for web scraping and automation, but they're painfully slow and unreliable at scale. Scraping thousands of dynamic pages with Playwright or Puppeteer takes hours, often failing halfway through due to timeouts or memory issues. Repeat tasks become absurdly expensive at scale due to the cost of managing hundreds of concurrent browsers.\n\n**How Parse Works**\n\nWe reverse engineer the underlying network requests behind any action on a website and build a deterministic API to replicate it. Parse automatically handles dynamic values (session cookies, CSRF tokens, etc.), IP rotation, and antibot challenges.\n\nParse is able to build a set of endpoints to handle dynamic multi-turn interactions, such as getting the questions on a job application through one endpoint and submitting the job application through another endpoint, **even though every application has unique questions**.\n\nDemo: https://youtu.be/UZGYkH2vAS4\n\nAll of this means that the APIs that Parse generates execute in seconds and cost fractions of a cent to run.\n\n**Background**\n\nI started coding at 12 to build bots to purchase limited edition sneakers in seconds. After leaving that scene, I led engineering at a trading card market platform and researched political botnets at Berkeley. No matter where I went, I realized how crucial live web data and interaction is and how slow current solutions are. I launched the first version of Parse in August and got to 35k users in a month.\n\n**Asks**\n\n* **If you're using headless browsers for scraping or automation, let's chat.** We're launching document downloading and auth handling in the coming weeks and want to hear your pain points. If you need custom solutions build out, please email me at [alex@parse.bot](mailto:alex@parse.bot)\n* **Try Parse today** - [**Parse.bot**](http://Parse.bot)", "url": "https://www.ycombinator.com/launches/OnX-parse-apis-for-any-website", "votes": 53, "created_at": "2025-11-08T20:02:17.215Z" } ] }, { "id": 30847, "name": "Brickwise", "slug": "brickwise", "former_names": [ "Brickwise", "Brickwise AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48c389a46401af22e7cde8396ad1941ad05a7401.png", "website": "https://www.brickwiseai.com", "all_locations": "London, England, United Kingdom", "long_description": "We've built an AI property manager that automates maintenance requests, handling tenant calls and messages 24/7, following up by chasing contractors and resolving issues.\r\n\r\nWe're based in London, but have over 10 customers throughout the world, from San Francisco to Dubai. We have a reliable sales pipeline, including a >$1m cARR enterprise contract. Since our formation 6 months ago, we have raised over $3M in funding.\r\n\r\nIsmail, co-founder & CEO, is an ex-Founder at LiveLink AI, where he raised $3M, growing the platform to editing 150k videos per month. He also built his own prop firm to $500k ARR.\r\n\r\nElias, co-founder & CTO, was an early engineer at a YC backed company, acquired by Google. While a senior engineer at Google for 5 years, he took the product from $50k ARR to >$100m. CS at Bristol, MBA from Imperial.", "one_liner": "AI property manager for landlords and estate agents", "team_size": 12, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1762137164, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "regions": [ "United Kingdom", "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": "Hey everyone [👋](https://emojipedia.org/waving-hand)\r\n\r\nWe’re [Ismail](https://www.linkedin.com/in/jeilani) & [Elias](https://www.linkedin.com/in/eliaskassell/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABeEg0EB4O6J8hjKE8dqLAnLjFXI3sosGQs) - co-founders of [Brickwise](https://www.brickwiseai.com).\r\n\r\n**Brickwise is building an AI property manager that automates maintenance for landlords and property managers.**\r\n\r\nLandlord’s usually get into property as a great way to make money. They quickly realise it requires a lot of work, so they hand tihngs over to property managers. On average, 1 property manager is hired for every 60 properties. It’s always just been the cost of property management.\r\n\r\nBrickwise is making it possible to deliver profits and margins that just hasn’t been possible pre-AI.\r\n\r\n**_Ask_:** Are you a landlord or property managers? Or, do you know landlord’s or property managers? I’d love to speak to them directly: [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)" }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "There are 240,000 property management firms in the US. They spend \\~$56bn per year on salaries to manage properties. This reality is true pretty much everywhere in the world. In Europe, 214,000 firms spend \\~$35bn on salaries.\r\n\r\nAnd this just represents half the problem (literally). Roughly 50% of landlord’s are so put off by the cost of using a property manager, they choose to manage it themselves. \r\n\r\nUnfortunately, this just hasn’t been solvable before. The more properties you have, the more people you need. 1 person can only answer so many emails or respond to so many calls. \r\n\r\nWe’ve been there before - building a small property management firm over-seeing 130 properties. We understand the nuances of managing properties from maintenance issues to evictions. \r\n\r\nWe also understand why, only now, technology has made it possible to change this. " } ], "url": "https://www.ycombinator.com/companies/brickwise", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/brickwise.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/brickwiseai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/48c389a46401af22e7cde8396ad1941ad05a7401.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 190230, "full_name": "Ismail Jeilani", "title": "Founder/CEO", "founder_bio": "AI property manager for landlords and estate agents. 2x founder (VC backed) and ex-google.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeilani", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b2821d53f3e432faf86e3400b00f6b8adb3434d.jpg" }, { "user_id": 426122, "full_name": "Elias Kassell", "title": "Founder", "founder_bio": "Automating property management. Ex-Google, ex-Dataform early hire.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eliaskassell/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db06ea2a6d5048ea8866c05d0f827d3c2db14198.jpg" } ], "jobs": [ { "id": 114095, "title": "Sales Development Representative (SDR) - £40k-£50k Base (£70k+ Uncapped OTE)", "url": "https://www.ycombinator.com/companies/brickwise/jobs/RGpTj8P-sales-development-representative-sdr-40k-50k-base-70k-uncapped-ote", "location": "England, GB", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "£70K - £100K GBP", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 95234, "title": "Brickwise - AI Property Manager 🏡", "tagline": "Automating maintenance for landlords and property managers", "body": "Hey everyone[ 👋](https://emojipedia.org/waving-hand)\n\nWe’re[ Ismail](https://www.linkedin.com/in/jeilani) &[ Elias](https://www.linkedin.com/in/eliaskassell/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAABeEg0EB4O6J8hjKE8dqLAnLjFXI3sosGQs) - co-founders of[ Brickwise](https://www.brickwiseai.com).\n\n# **TL;DR**\n\n**Brickwise is building an AI property manager that automates maintenance for landlords and property managers.**\n\nLandlords usually get into property as a way to make money. They quickly realise it requires a lot of work, so they hand things over to property managers. On average, 1 property manager is hired for every 120 properties. That’s just the cost of property management.\n\nBrickwise is making it possible to deliver profits and margins that haven’t been possible pre-AI.\n\nOur Launch Video: https://www.youtube.com/watch?v=aDJyMnw8jpE\n\n**Ask:** Are you a landlord or property manager? Or, do you know landlords or property managers? I’d love to speak to them directly: [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)\n\n---\n\n# **Problem ❌**\n\nThere are 240,000 property management firms in the US. They spend \\~$56bn per year on salaries to manage properties. This reality is true pretty much everywhere in the world. In Europe, 214,000 firms spend \\~$35bn on salaries.\n\nHow are these salaries financed? On average, an owner has to pay 10% of their monthly rent (before mortgages, taxes, repairs) to property managers.\n\nThis represents half the problem (literally). 50% of landlords are so put off by the cost of using a property manager, they choose to manage it themselves.\n\nUnfortunately, this just hasn’t been solvable before. The more properties you have, the more people you need. One person can only answer so many emails or respond to so many calls.\n\nAs a team, we’ve been there before, building a small property management firm overseeing 130 properties. We understand the nuances of managing properties, from maintenance issues to evictions.\n\nWe also understand why only now technology has made it possible to change this.\n\n# **Solution ✅**\n\nBrickwise will one day automate the entire property lifecycle. We’re starting by making the most labour-intensive part as automated as possible: maintenance.\n\n**Part 1 - 24/7 support via call, email and text**\n\nTenants are given a phone number and email that they can contact 24/7 (you can also try it yourself!)\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/ef9b52f3-74fb-4132-a7ac-b10c4fc328b7)\n\nOur AI agent does more than just triage and arrange visits. It actually understands issues and suggests fixes on the spot.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/106cee28-b84f-49cb-ac19-ecfc8c643333)\n\n**Part 2 - Organising and arranging contractors**\n\nOf course, not all issues can be resolved over call or text. Often, someone needs to take a look. This usually involves a series of phone calls between the property manager, the tenant and the contractor. When you’re managing thousands of properties, resolutions take time. Reasons include (but are not limited to):\n\n* Someone’s out of office\n* You’ve been assigned a new property manager\n* The contractor didn’t pick up their phone (and your property manager forgot to call back)\n* It’s a weekend and your issue isn’t urgent\n* They’re getting multiple quotes because the repair is expensive\n\nWhatever the reason, everyone is unhappy when things take long. The beauty of AI is its ability to speak to many people at the same time. This means as soon as our agent picks up an issue, it is able to contact dozens of contractors (external or internal) at the same time.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/f8bbbc58-1056-4271-a561-5c56357a6f7b)\n\n**Part 3 - Keeping everyone updated, like “real life read receipts”**\n\nProperty managers are always kept in the loop with everything the agent is doing, giving them the exact oversight they need. At the same time, tenants are always updated with how things are progressing. These systems are automated, and most importantly scalable. We can manage instant updates for thousands of tenants.\n\n![uploaded image](/media/?type=post&id=95234&key=user_uploads/190230/065b1dd8-e4e4-42f8-aee2-5be5f1c1facb)\n\n# Ask 💬\n\nIf you are, or you know any of the following, I’d love to hear from you:\n\n**Property Managers**\\\nYou’re probably managing hundreds or thousands of properties and are figuring out if this AI thing makes any sense for you. Is it as good as it sounds? Does it integrate into my current PMS?\n\n**Landlords**\\\nYou might be a professional landlord, or you might be a software engineer running the family property business on the side. You’d rather not, but there’s no one else that’s able to do it.\n\nYou can reach out to us at [ismail@brickwiseai.com](mailto:ismail@brickwiseai.com)\n\n# Team\n\nIsmail is an ex-Googler and previously the founder of LiveLink, an AI video editing platform that edited 150k videos per month for over 1000 customers. They raised $3m. He also ran his own property business helping oversee 130 properties.\n\nElias was an early engineer at Dataform (YC W18) who were acquired by Google. At Google he worked in the core team that grew Dataform’s revenue at Google from 0 to $100m in 4 years. He left Google to create Busbysims, a platform for engineers to design systems, before starting Brickwise.\n\nFun fact: Elias was the only member of the Dataform team who did NOT want to take the acquisition!", "url": "https://www.ycombinator.com/launches/Om2-brickwise-ai-property-manager", "votes": 3092, "created_at": "2025-11-05T23:24:34.432Z" } ] }, { "id": 30848, "name": "Parrot", "slug": "parrot", "former_names": [ "Parrot takes down Duolingo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/456a29d2b6a9ad58f25000ceded3f47b7968c4e6.png", "website": "https://parrotapp.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Parrot is the TikTok for language learning. We turn doomscrolling into fluency with personalized short-form videos. Power users scroll for 6 hours/week on Parrot. Our team of engineers have lived the frustration of ineffective apps and learning methods - we’re building the first language platform that actually works.", "one_liner": "TikTok for language learning", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1758577465, "tags": [ "AI-Enhanced Learning", "Education" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/parrot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/parrot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parrotapp/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/456a29d2b6a9ad58f25000ceded3f47b7968c4e6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d5cf4917a5f09c26bbc884454e48154ebb172c0f.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2104132, "full_name": "Amir Hanna", "title": "Founder", "founder_bio": "CEO & Co-founder @ Parrot 🦜 ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amirhanna1", "x_url": "https://x.com/byAmirHanna", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/535aee7bc30cbbb822dedd2f1013a8aac21b4dfa.jpg" }, { "user_id": 2104174, "full_name": "Erik Dahl", "title": "Founder", "founder_bio": "CTO & Co-founder @ Parrot 🦜. Learned Spanish, French, and Italian in 1 year showed me how broken language learning is. Now building Parrot to make people fluent, fast. (RIP Duolingo 👋)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/-erik-dahl-", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c7885edd8cc78caf9d60b5859915bf7f498f12c7.jpg" }, { "user_id": 2105983, "full_name": "Julia Hudea", "title": "Founder", "founder_bio": "CPO & Co-Founder @ Parrot 🦜 Dual Bachelor degrees in Mechanical Engineering and Computer Science. Years of product development experience at startups before Parrot.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julia-hudea-aa582414a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa4a4c49c869d13a30e565a395742b8c5e2497bf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94904, "title": "Parrot 🦜: TikTok for language learning", "tagline": "Turn doom scrolling into fluent Spanish with short, addictive videos designed to keep you hooked, but smarter.", "body": "[https://youtu.be/2e7qK8pPn2M](https://youtu.be/2e7qK8pPn2M%5C)\n\nWhen our co-founder and CTO, Erik, told us he wanted to build another language app, we weren’t convinced.\n\nHe had already taught himself Spanish, French, and Italian in a year, but we asked:\n\n“Why would we compete with a $15 billion giant?”\n\n“How did Duolingo make hundreds of millions and still get no one fluent?”\n\nWe had worked on a few startups together before, so we knew Erik wouldn’t let go of the idea easily. Then Julia joined us. We’d met in a university entrepreneurship class where we built a pharmacy voice assistant. It worked - but none of us cared deeply about it. After a few false starts, we realized we wanted to build something that actually mattered to people - and to us.\\\n\\\n**The research**\n\nBefore writing a single line of code, we did the homework.\n\n* We downloaded and used 52 language learning apps. Every single one.\n* We interviewed 65 learners across Reddit, Discord, and our own circles.\n* We studied Comprehensible Input - the most research-backed method for language learning, developed by Dr. Stephen Krashen at USC: learn through listening and context first, just like a child.\n\nThat’s when we saw the gap. The market leader wasn’t helping people go from beginner to fluent. The problem wasn’t motivation - it was that no one had built a mobile-first, science-based product that actually made learning feel natural.\n\n**The first test**\n\nWe built a simple MVP, a video player with captions - and went to a local university. Standing outside a Spanish 101 classroom, we stopped 20 students and showed them Parrot V0. We asked one question: “If this helped you understand Spanish videos effortlessly, would you pay $30 for early access?”\n\n60 percent said yes - on the spot. That was the moment we knew we might be onto something.\n\n**Why we’re building Parrot**\n\nParrot makes learning a language as fun and addictive as scrolling TikTok. Every swipe exposes you to real-world Spanish videos you can actually understand - powered by the science of Comprehensible Input.\n\nWe started this because learning a language shouldn’t feel like homework. It should feel like discovery. Like travel. Like connecting with someone new.\n\n\\\n🦜 Try Parrot → [https://www.parrotapp.com](https://parrotapp.com/)", "url": "https://www.ycombinator.com/launches/Ogi-parrot-tiktok-for-language-learning", "votes": 41, "created_at": "2025-10-25T23:08:57.178Z" } ] }, { "id": 30849, "name": "MOVEdot", "slug": "movedot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "website": "https://www.movedot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.", "one_liner": "AI Agents for Hardware Engineering", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759431340, "tags": [ "Hardware", "Manufacturing", "AI", "Automotive", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/movedot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/movedot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/move-dot-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff366b5cf4ba792d472cf1af716e033566ff24ff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 845924, "full_name": "Girish Radhakrishnan", "title": "Founder/CEO", "founder_bio": "Building AI agents for hardware test data analysis\nex-Tesla, 10 years of experience in the automotive industry working with my co-founder Bruno Finco", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/girish-radhakrishnan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d40cfbaae3ffb298752be939eaf3c1da7fd76a8.jpg" }, { "user_id": 1931404, "full_name": "Bruno Finco", "title": "Founder/CTO", "founder_bio": "Building AI agents for sensor data analysis. 10 years in automotive as a lead forward-deployed engineer, working with my cofounder Girish.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bruno-finco-610999b6/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014be131eb6fc4cfee8218b1bba16a5e5609c13d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95237, "title": "MOVEdot: AI Agents for Hardware Engineering", "tagline": "Cursor for Engineering Analysis - From Race Cars to Factory Floors", "body": "Hey everyone, we’re [**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/), founders of [**MOVEdot**](https://www.movedot.ai/).\n\n# TL;DR\n\n* When developing any sort of hardware, engineers are the bottleneck due to data/information overload, creating huge inefficiencies and waste\n* We built a Cursor-like interface that allows humans and AI agents to work together on multi-modal data, achieving 10-100x efficiency\n* We started with race cars and are now expanding to other industries\n* [**Book a demo**](https://www.movedot.ai/) or email us ([founders@movedot.com](mailto:founders@movedot.com))\n\nhttps://youtu.be/tA-4cdiJ5tI\n\n# ❌ The Problem\n\nEvery engineer says the same thing:\n\n> “Too much data, not enough time.”\n\nData collection has grown 10x, but the **same human brain** still has to make sense of it. Engineers spend days digging through spreadsheets and KPIs to find what failed. Or more realistically, they give up, leaving most data unused.\n\n# ⚙️ The Solution\n\nWe built **MOVEdot**, an AI agent platform that allows you to use 10x more data to make decisions. It connects to data, video, and test standards, automating reports or answering questions like:\n\n> _When did temperature spikes cause mechanical failures, and what were early signs?_\n\nAgents process the data and produce interactive dashboards and mind maps.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/3f0d742e-35f8-4d25-8c7a-ccd153474570)\n\n# 🌍 The Vision\n\nPhysical-world testing is a **$250B market** across development, durability, and validation. Our goal: give every engineering team **thousands of AI teammates** that helps them use **100%** of their data, increasing performance and shortening time to market. From racing to robotics. From proving grounds to production lines.\n\n# 🏎️ Race Cars - Why We Started Here\n\nWe began in motorsports: time-sensitive environment with short sales cycles. Closed our first 30k deal within 2 weeks of the POC. Well, we were also race car engineers…\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/590dddb8-083c-4492-a213-a4695df7a028)\n\nSince then, we’ve onboarded dozens of racing teams and have expanded into manufacturing, with a POC at [**Tractian**](https://tractian.com/en) (YC W21).\n\n# 👥The Team\n\n[**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/) worked together for 8 years as forward-deployed engineers in an automotive consulting firm, where we realized we were the bottleneck. Girish also had a stint at Tesla, seeing the same challenges.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/d3d6577b-ae0c-4715-803e-1ad78a09d2a6)\n\n# 🔥 Our Ask\n\n* Are you an engineer working with a ton of data? [**Book a demo!**](https://www.movedot.ai/)\n* Know someone who is? Share this post!\n\nContact us at [founders@movedot.com](mailto:founders@movedot.com)", "url": "https://www.ycombinator.com/launches/Om5-movedot-ai-agents-for-hardware-engineering", "votes": 14, "created_at": "2025-11-06T04:35:39.416Z" } ] }, { "id": 30850, "name": "Zavo", "slug": "zavo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c070e5b38f25a46eb16f93b2a21cfccf8ec446a.png", "website": "https://zavo.ai", "all_locations": "London, England, United Kingdom", "long_description": "Zavo is a data company building proprietary, real-world data infrastructure for frontier AI. We partner with hospitals, businesses, operators and expert networks globally to access hard-to-reach data that cannot be found on the public internet.\r\n\r\nWe source, structure, annotate and license this data for model training, post-training and evaluation, and use it to build specialised benchmarks and reinforcement learning environments grounded in real-world workflows, expert decisions and outcomes.\r\n\r\nOur focus spans healthcare and robotics, where high-quality proprietary data, realistic environments and reliable evaluations are critical to building increasingly capable AI systems.", "one_liner": "Unlocking the world’s most valuable data for frontier AI.", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758482945, "tags": [ "B2B", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zavo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zavo.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/zavopay", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zavo", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c070e5b38f25a46eb16f93b2a21cfccf8ec446a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1353819, "full_name": "Can Zehebi", "title": "Founder", "founder_bio": "Founder @ Zavo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/canzehebi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43700648bf4f49033fadcd5962a2ce77ec8f2881.jpg" }, { "user_id": 1995140, "full_name": "Ilkan Gezer", "title": "Founder", "founder_bio": "Founder @ Zavo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ilkan-gezer-4a16a6268", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/015268ca8004cf0bec885653deea16f9656c323e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30851, "name": "Sylvian", "slug": "sylvian", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ce6100b0248b0cf8f017986931a26cfe36046f3.png", "website": "https://sylvian.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Sylvian helps companies build specialized AI agents. ", "one_liner": "Specialized AI Agents.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762195938, "tags": [ "Reinforcement Learning", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Inactive", "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/sylvian", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sylvian.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sylvian", "x_url": "https://x.com/TheSylvianAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/SylvianAI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ce6100b0248b0cf8f017986931a26cfe36046f3.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": 1252639, "full_name": "William Huang", "title": "Founder", "founder_bio": "CEO @ Sylvian. IPhO Gold, Ex-Waymo, Citadel Securities, Stanford CS.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/william-s-huang/", "x_url": "https://x.com/amiwilliamhuang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a8e42f12ffb02233ed03f97d860d7a702b7bbcf.jpg" }, { "user_id": 2950012, "full_name": "Niall Kehoe", "title": "Founder", "founder_bio": "CTO @ Sylvian. Ex-Stanford CS, Two Sigma, Harvard Medical School / Stanford research", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/niallkehoe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec1c649325677c65811a0752c0e15aac2e351634.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95160, "title": "Sylvian: Data for LLMs through Competition", "tagline": "Sylvian incentivizes high quality expert data for LLMs through Competition", "body": "We are [William Huang](https://linkedin.com/in/william-s-huang) and [Niall Kehoe](https://www.linkedin.com/in/niallkehoe/), and we’re launching [Sylvian](https://sylvian.ai)! We gather expert data for LLMs through competitions, starting with tool use (e.g. Excel, VSCode).\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/cb059d06-59e0-402c-a49e-02752bbb9e17)\n\n**Problem**\n\nScaling laws dictate that LLMs continue to need lots of expert data, despite advances in RL. Even RL environments require data—for example, an environment that allows LLMs to edit spreadsheets in Excel would still require sample spreadsheets to define the task at hand.\n\nUnfortunately, existing data vendors like Scale or Mercor are not motivating the best experts through part-time pay.\n\n**Our Solution**\n\nSylvian hosts competitions where the best experts are motivated by the thrill of moving up leaderboards and the prestige of winning a large competition. We’re starting with tool use data because there are many expert communities surrounding tools like Excel and VSCode.\\\n\\\nWe already have 4,500+ experts, from IMO Golds to MIT/Stanford PhDs to full time QRs at Point72, producing data at 1B tokens/week!\n\nOur data is consistently at the frontier. Below is the result of one of our latest benchmarks we made with VSCode data from Data Science experts. See [sylvian.ai](https://www.sylvian.ai/blog/quant-benchmark) for more details.\n\n![uploaded image](/media/?type=post&id=95160&key=user_uploads/1252639/b874f47f-fef0-46c4-b26c-0d60887aadc5)\n\n**Our Story**\n\nWilliam won an IPhO Gold at 17 and Niall has won international coding contests at 13, since then we’ve went on to be a part of Stanford CS, Harvard Medical School, Citadel Securities, Two Sigma, and Waymo. \n\n**Our Ask**\n\nIf you’re in need of expert tool use data, we’d love to speak to you! You can reach us at [founders@sylvian.ai](mailto:founders@sylvian.ai) or visit [sylvian.ai](https://sylvian.ai).", "url": "https://www.ycombinator.com/launches/Okq-sylvian-data-for-llms-through-competition", "votes": 36, "created_at": "2025-11-04T19:46:52.391Z" } ] }, { "id": 30852, "name": "Nexus", "slug": "gpt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16ccc5827c9436c2ec14d6feb3d12e71045157d.png", "website": "https://agent.nexus", "all_locations": "Brussels, Brussels, Belgium", "long_description": "Nexus enables non-technical teams in large organizations to build production-ready AI agents without code. ", "one_liner": "We help non-technical teams build AI agents without engineers", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759450579, "tags": [ "No-code", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Belgium", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gpt", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/gpt.json", "year_founded": 2024, "city": "Brussels", "country": "BE", "linkedin_url": "https://www.linkedin.com/company/nexusagent", "x_url": "https://x.com/nexus_gpt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e16ccc5827c9436c2ec14d6feb3d12e71045157d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1212509, "full_name": "Assem Chammah", "title": "Founder/CEO", "founder_bio": "Aerospace engineer and ex-McKinsey consultant turned startup founder, now building NexusGPT—the enterprise no-code platform for AI agents. Currently helping 10+ large enterprises (Orange, Waterland Private Equity, etc.) automate and scale with AI. Passionate about agentic workflows, lean operations, and democratizing AI for business teams. Always up for swapping startup war stories or talking about the future of work.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/assemchammah", "x_url": "http://x.com/achammah1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4de07352c751439951644503ca5df9b628a2d78c.jpg" }, { "user_id": 1993360, "full_name": "Shady Al Shoha", "title": "Founder/CTO", "founder_bio": "Co-founder (CTO) of NexusGPT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shady-al-shoha/", "x_url": "https://x.com/ShadyShoha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6ec0a99da689db5063f8937ad673ddddbda3d82.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94339, "title": "Nexus – Enabling Business Teams to Build AI Agents Without Code", "tagline": "Build agent without waiting for the engineering team", "body": "![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/d8f3dd70-cd99-48ee-b914-f303f372157c)\n\n**TL;DR:** Nexus is a platform enabling non-technical business teams to create production-ready AI agents in days, not months.\n\n---\n\n## We're Nexus\n\nWe're Assem and Shady, the Nexus team. We've been in the AI trenches since 2019, and we kept watching the same painful pattern repeat at every enterprise.\n\nhttps://youtu.be/ItX32Iqx2I8\n\n---\n\n# The Problem: 95% of Enterprise AI Projects Fail\n\n**MIT reported in August 2025 that 95% of enterprise AI projects fail.** The reason? Engineering can't ship fast enough.\n\nConsider this scenario: Your sales team needs an AI agent to qualify leads, research companies, and personalize outreach. It's a perfect use case for AI. You know exactly what you need.\n\nBut here's what actually happens:\n\n* **Engineering has a 6-12 month backlog** – Your project gets queued behind critical infrastructure work\n* **By the time they start building**, GPT-5 is out and your GPT-3.5 solution is already obsolete\n* **By the time they finish**, your business needs have completely changed – that lead qualification process? Your team evolved it three times already\n* **The solution is rigid** – Any change means another engineering ticket and another 3-month wait\n\nWe watched this pattern destroy brilliant AI initiatives across industries. A telecom giant had a chatbot stuck with IT for over a year. Global consultancies spent 6+ months with external developers with nothing to show. Private equity firms rebuilt the same infrastructure from scratch, over and over.\n\n**Companies that lose on speed lose big.** While you wait, competitors are moving. Markets are shifting. Opportunities are disappearing.\n\nThe bottleneck isn't ideas, budget, or even AI capabilities. **It's implementation speed.**\n\n---\n\n# The Solution: Give Business Teams the Power to Build\n\nInstead of waiting for engineering or buying rigid pre-built solutions, Nexus gives enterprises the infrastructure to build their own agents reliably – **no code required**.\n\n### **How It Works:**\n\n**1. Create agents with natural language**\n\nDescribe what you want in plain English. \"Build a agent that screens job applications, checks LinkedIn profiles, and schedules interviews with qualified candidates.\" and Nexus kickstarts the building of your agent from scratch\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/ccf88c58-51d1-47ac-8ea3-c65df19334e6)\n\n**2. Connect your entire company stack**\n\nConnect any system, choose any AI model, integrate any tool. With 4,000+ plugins plus custom API support, your agents work with your entire tech stack. No vendor lock-in\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/32849f6b-6efa-4ca7-84ad-dbfd77f82ab7)\n\n\n**3. Build complex agentic workflows**\\\nVisual builder with AI actions, web search, data extraction, and integration with over 4,000 business apps. No coding, just drag and drop.\n\n![uploaded image](/media/?type=post&id=94339&key=user_uploads/1212509/153019f0-f934-4928-a636-53a634f24991)\n\n**4. The Secret Sauce: Nexus Flow**\n\nTraditional automation forces a bad tradeoff:\n\n* **RPA tools** – Work perfectly until your process changes (then break instantly)\n* **AI workflows** – Handle some variation but hit walls with real complexity\n* **Open-ended agents** – Might solve it brilliantly. Might hallucinate. You never know.\n\n**Nexus gives you both:** Our Agentic Flow lets you decide when agents should think and adapt vs. when they need zero-hallucination reliability. Full intelligence when you need it, bulletproof accuracy when it matters.\n\n---\n\n# Proven at Scale: Orange Belgium\n\nhttps://youtu.be/MEvaTTG9IrY\n\nOrange Belgium needed to transform their customer onboarding. Previous scripted chatbots were a good start, but customers expected natural conversations, not predefined menus.\n\n**A non-technical team member used Nexus to build a complete AI sales agent in one week:**\n\n* Connected to Orange's entire product catalog and internal systems\n* Deployed on WhatsApp for omnichannel customer reach\n* Is relentless about closing the sales while answering concerns\n* Live in production, serving thousands of customers\n\n**The Results:**\n\n* **$4M+ in monthly revenue** generated by this single agent\n* **+50% conversion rate**\n* **+10 points customer satisfaction**\n\n_\"With Nexus, we've given every prospect a knowledgeable consultant available 24/7. It's like speaking to our best-trained advisor, anytime.\"_ – Laurent Stevens, Digital Performance Specialist, Orange Belgium\n\n---\n\n---\n\n# How We Got Here\n\nWe've been building AI systems since 2019, pre-ChatGPT. We helped enterprises implement everything from custom LLM pipelines to agentic workflows.\n\n**The breaking point came when we saw the same infrastructure being rebuilt over and over:**\n\n* Prompt engineering frameworks\n* Evaluation pipelines\n* Testing infrastructure\n* Integration layers\n* Deployment systems\n* Monitoring and observability\n\nEvery enterprise was spending 6-12 months building the exact same foundation. Meanwhile, brilliant AI ideas died in committee meetings and engineering backlogs.\n\nWe thought: **What if we built this infrastructure once, made it enterprise-grade, and let business teams build on top of it?**\n\nThat's when we knew we had something.\n\n---\n\n# Our Ask\n\nWe'd love to help automate your workflows – or connect you with enterprises that need this!\n\n**If you know someone at a large organization (200+ employees) with:**\n\n* A challenging AI roadmap stuck in implementation\n* A need to integrate reliable AI across multiple departments\n* Frustration with current solutions or development speed\n\n**We'd love to chat.** Reach out to [**assem@gpt.nexus**](mailto:assem@gpt.nexus) and we can set up time to discuss how Nexus could help, or book directly at https://calendly.com/assem-obpv/nexus-demo-call\n\n---\n\n_P.S. – We're SOC 2, ISO 27001, ISO 42001, and GDPR certified. Enterprise-grade security is built in from day one._ 🚀", "url": "https://www.ycombinator.com/launches/OXb-nexus-enabling-business-teams-to-build-ai-agents-without-code", "votes": 14, "created_at": "2025-10-03T14:09:38.768Z" } ] }, { "id": 30853, "name": "Bolna AI", "slug": "bolna-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png", "website": "https://bolna.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Bolna handles the complexity of voice infra, so enterprises can automate calls faster, better, and cheaper, at scale\r\n\r\nBolna is a Voice AI Orchestration platform purpose-built for Indian enterprises.\r\nBusinesses in India run tens of thousands of calls every day - across sales, support, collections, recruitment, and more. Bolna gives them the power to build and deploy Voice AI Agents directly from their transcripts and FAQs, so they can start automating calls immediately.\r\n\r\nWith Bolna, enterprises get:\r\n\r\n1. Full control over agent intelligence, tone, and workflows\r\n2. Cost efficiency at scale with smart routing across providers and price points\r\n3. Enterprise-grade performance on latency, interruptions, multi-language, and multi-accent understanding\r\n\r\n", "one_liner": "Voice AI to enable India's next billion", "team_size": 21, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758900227, "tags": [ "B2B", "Infrastructure", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bolna-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bolna-ai.json", "year_founded": null, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/bolna-ai/", "x_url": "https://x.com/bolna_dev", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/whismurwave-inc", "github_url": "https://github.com/bolna-ai/bolna", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0b089abe00badc05c8bba9c5210bd4a34f636170.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f1ccd6a8c9fc96f2cb6904ab26e0b38dfaa5ea8a.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1427127, "full_name": "Maitreya Wagh", "title": "Founder/CEO", "founder_bio": "Engineer turned Consultant turned AI Founder. Building the Total Voice AI Ochestration for India. Love sports and travel", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maitreya-wagh/", "x_url": "https://x.com/maitreya_wagh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd57dd6d87585a243317dbf8e55d05df3a61701c.jpg" }, { "user_id": 340680, "full_name": "Prateek Sachan", "title": "Founder/CTO", "founder_bio": "Building the Voice API infrastructure platform for India.\n\nPreviously built and scaled Zomato, Tata 1MG, BrowserStack & Atlassian.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prateek-sachan", "x_url": "https://x.com/xan_ps", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b79cc81789e524489e929c7c68ca77473fa839a.jpg" } ], "jobs": [], "news": [ { "title": "Bolna nabs $6.3M from General Catalyst for its India-focused voice orchestration platform", "url": "https://techcrunch.com/2026/01/20/bolna-nabs-6-3-million-from-general-catalyst-for-its-india-focused-voice-orchestration-platform/", "date": "Jan 20, 2026" }, { "title": "Bolna AI’s Bold Bet: Becoming the Distribution Layer for Every Voice Model", "url": "https://analyticsindiamag.com/ai-startups/bolna-ais-bold-bet-becoming-the-distribution-layer-for-every-voice-model/", "date": "Sep 09, 2025" } ], "launches": [ { "id": 94216, "title": "Bolna - Voice AI for India", "tagline": "We enable Indian businesses to automate calls with multilingual, realistic Voice AI agents", "body": "Call our AI Agents at [+18722412481](tel:+18722412481) or [+912269539260](tel:+912269539260) to know everything about Bolna!\n\nhttps://www.youtube.com/watch?v=Lq9ouROmRHA\n\n**The Problem**\n\nIn India, phone calls remain the backbone of how businesses operate - from banks chasing loan repayments, to edtech companies qualifying leads, to e-commerce brands confirming deliveries. Millions of such calls happen every day. But the system is broken:\n\n* **20+ Languages, 200+ Accents/Dialects**: Building a team that can handle all is impossible. Calls often switch mid-conversation (Hindi → Hinglish → Gujarati), and only a natural, adaptive AI can follow along and give a personalised experience to each caller.\n* **Context-Dependent Requirements**: A delivery driver in Bangalore needs a low-latency, Kannada-capable model with high noise cancellation. A recruitment call to an engineer requires a slower but higher-quality reasoning model. There is no “one model to rule them all,” and integrating and managing 100s of models at scale is an unwanted hassle for businesses.\n* **Cost Efficiency at Scale**: In India, every rupee matters. Voice AI must be engineered for efficiency - pre-recorded messages for common utterances, smaller vertical-focused models, and intelligent routing to minimize token usage.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/bb2d0f37-0050-4606-8271-c8664a3d541b)\n\n**The Solution**\n\nBolna is a **Voice AI Platform** purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.\n\n* **Enterprise-grade performance**: Sub-500ms latency, interruption handling, multi-language (10+) and accent (50+) adaptation, fluent in natural multi-language conversations (Hinglish, English + Tamil etc.)\n* **India-specific routing**: Bolna automatically picks the optimal model blend for the context, regardless of language, region, or use case.\n* **Cost-efficiency engine**: Calls are optimized with pre-recorded inserts, cheaper small models where possible, and routing logic that prioritizes ROI without sacrificing experience.\n* **Complete control**: Enterprises define workflows, tone, and intelligence. Bolna handles everything behind the scenes.\n\nToday, Bolna powers **500K+ minutes of calls every month** across BFSI, e-commerce, and recruitment. Customers achieve **higher pickup rates, lower costs, and faster deployments** than with any alternative.\n\nFor Indian enterprises, Bolna is not just automation, it is the fastest path to scaling voice operations profitably.\n\n![uploaded image](/media/?type=post&id=94216&key=user_uploads/1427127/b5dd1f69-0a2d-4256-97d8-fc281cbccd14)\n\n", "url": "https://www.ycombinator.com/launches/OVc-bolna-voice-ai-for-india", "votes": 38, "created_at": "2025-09-30T05:29:03.741Z" } ] }, { "id": 30854, "name": "Hyperspell", "slug": "hyperspell", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4149c6afc651c9770fc182e08dde776e24f88554.png", "website": "https://hyperspell.com", "all_locations": "San Francisco, CA, USA", "long_description": "Hyperspell is your Company Brain. AI agents are brilliant and clueless. They ace any test and still have no idea how your company works. Hyperspell connects your tools and synthesizes documents and conversations into a live, permissioned context graph. Any agent can read from it and write back to it like a filesystem, with every fact traced to source.", "one_liner": "Your Company Brain", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1760534513, "tags": [ "Machine Learning", "SaaS", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/hyperspell", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/hyperspell.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/hyperspell", "x_url": "https://x.com/hyperspell", "fb_url": null, "cb_url": null, "github_url": "https://github.com/hyperspell", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4149c6afc651c9770fc182e08dde776e24f88554.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/af3a623c068400310c706ffc43c0b17d3b40a103.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d96bd1f7c504fa8cd76323fbcd9b0bec0fda0da6.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2003252, "full_name": "Conor Brennan-Burke", "title": "Founder/CEO", "founder_bio": "Founder of Hyperspell, Context & Memory for AI Agents", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/conorbrennanburke/", "x_url": "https://x.com/conor_ai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e06eab4105d354be854f0c45867d1cd63133fc9.jpg" }, { "user_id": 31259, "full_name": "Manu Ebert", "title": "Founder", "founder_bio": "4x Founder, 2 exits, 15 years in AI & ML", "is_active": true, "linkedin_url": "https://linkedin.com/in/maebert", "x_url": "https://x.com/maebert", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fdf8a8308d72fd62ab8580049ab65377416d60f.jpg" } ], "jobs": [ { "id": 92642, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/hyperspell/jobs/MvG48cH-founding-ai-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150 - $220", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Distributed Systems", "Machine Learning", "Natural Language Processing", "Prompt Engineering" ] }, { "id": 92644, "title": "Founding Platform Engineer", "url": "https://www.ycombinator.com/companies/hyperspell/jobs/rMoV1RO-founding-platform-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150 - $220", "equity_range": "0.50% - 1.50%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Kubernetes", "Python", "Distributed Systems", "ETL" ] }, { "id": 92647, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/hyperspell/jobs/iLXJT3r-founding-forward-deployed-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150 - $220", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "TypeScript" ] } ], "news": [], "launches": [ { "id": 94666, "title": "Hyperspell: Memory for AI Agents", "tagline": "Give your agents long-term memory and context from your entire workspace", "body": "[**Hyperspell**](https://hyperspell.com) **is the memory layer for AI agents.** We help developers connect data from tools like Slack, Gmail, Notion, and Google Drive so their agents can recall, reason, and learn over time.\n\n🎬 Watch our launch video: https://youtu.be/t6ji-n9qHYo?si=rALHJ2KaTiAieEvq\n\n---\n\n### Hi there!\n\n**Conor** led a $30m ARR API business at Checkr, building infrastructure used by tech companies like Doordash and Airbnb. **Manu** has 15+ years of Machine Learning experience. His previous ML/AI startup got acquired by Airbnb, where he went on to build Airbnb’s first Knowledge Graph. Manu has also owned .ai domains since 2014 when he bought one for his first startup (back then he had to send a fax to Antigua to get one).\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/5e5241c7-861b-4213-b864-c448b6091fba)\n\n> ---\n\n### **AI Agents are clueless geniuses**\n\nToday, AI agents show up like it’s their **first day on the job** — sometimes impressive, but with no awareness of your context, institutional knowledge, history, and preferences. Worst of all, without the ability to learn and improve, they will only ever be as good as they are on day one.\n\n---\n\n### **Hyperspell fixes that.**\n\nWith our SDK, developers can add a context and memory layer to any agent in minutes. Pre-built connectors let users connect their tools like Gmail, Notion, and Slack, so that **memory doesn’t start from zero**: Hyperspell will analyze all existing files and conversations, figure out the important people, projects, and facts, and make it all available to your agent through our Agentic Memory Network.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/036418ad-5a83-4da0-95d0-c939ec3fafa2)\n\nBest of all, **it improves with every single interaction:** Our novel approach to memory reinforces what’s being recalled, and helps your agent improve over time.\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/282eb1cf-bd7f-49b5-81e3-a5fe74e53896)\n\n### **But wait, there’s more!**\n\nThere’s lots of different ways our customers use Hyperspell, and because of that there’s lots of different ways you can integrate Hyperspell into your own agent. To make this easier, we created the **first ever self-integrating SDK**. \n\nWatch how we go from zero to production-ready PR on an unknown codebase with our custom Claude Code skill:\n\nhttps://www.youtube.com/watch?v=gfYsXJJsX3k\n\n# **Our Asks:**\n\n* Book a demo right now: https://cal.com/conor-brennan-burke/\n* Spread the word on linkedin and twitter: \\\n [https://www.linkedin.com/company/hyperspell](https://www.linkedin.com/company/hyperspell/%5C)\\\n https://twitter.com/hyperspell\n* Share your feedback with [conor@hyperspell.com](mailto:conor@hyperspell.com)\n\n![uploaded image](/media/?type=post&id=94666&key=user_uploads/31259/f032811f-ff1e-4f87-af1c-edd2f051e25f)\n\n", "url": "https://www.ycombinator.com/launches/Ocs-hyperspell-memory-for-ai-agents", "votes": 426, "created_at": "2025-10-15T14:47:48.970Z" } ] }, { "id": 30856, "name": "Scoop", "slug": "scoop", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/70fc9c8245a9de2b245841faf07e0530dd3f51a1.png", "website": "https://scooplabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI agents that speed up drug trials by automating the manual consolidation and document prep required for every IND submission. Today, biotechs spend months stitching together reports from contractors and internal teams just to file and get to their first-in-human trial.", "one_liner": "Automating regulatory submissions for life sciences", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762725446, "tags": [ "B2B", "Biotech", "Compliance", "AI", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scoop", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/scoop.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scoopcpg/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/70fc9c8245a9de2b245841faf07e0530dd3f51a1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 822396, "full_name": "Vincent Park", "title": "Founder/CEO", "founder_bio": "CEO and Co-founder @ Scoop. Previously at Persona and Dropbox.\n\nWorking on Scoop to help speed up drug trials, starting with IND filings, to help companies bring life-saving treatments to market faster.", "is_active": true, "linkedin_url": "https://linkedin.com/in/vpark", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/689facc831f3923fa62a1e4575b13dab3e406e64.jpg" }, { "user_id": 476131, "full_name": "Jay Kwon", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Scoop.\n\nEx-Google Search applied AI (Gemini CoT), supported IND and Phase III clinical trial design for ALS therapy at Corestem, prev at Genentech and CJ Bioscience. MS in Computer Science and Biotechnology from Penn.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/soonjae/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6d4e3bea7c64f6ca250ea094b791ae99f673df2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95349, "title": "Scoop: AI agents that speed up drug trials, starting with IND filings", "tagline": "We create ready-to-submit regulatory documents so new therapies can reach clinical trials faster", "body": "Hey everyone, we’re Jay and Vincent.\n\ntl;dr: Scoop uses AI to automate the paperwork required to start and maintain human drug trials, reducing timelines from months to days.\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/f682e615-6b6a-487a-b532-58158884d410)\n\n**The Problem**\n\nBiotechs spend months preparing the documentation required to start human trials. Most of the time goes into organizing results, rewriting information across many documents, and keeping everything consistent.\n\nCompanies often hire Contract Research Organizations(CROs), which run clinical trials and also help prepare these submissions. But their document assembly process is still manual and slow, so timelines stretch and costs rise.\n\nEvery update requires repeating the same work. This delays trials and wastes $$$ before a single patient is treated.\n\n**The Solution**\n\nScoop turns your internal data and study reports into a continuously updated submission workspace.\n\nOur system generates the draft documents in the required structure, keeps everything consistent when new data comes in, and flags anything that needs review. Teams focus on approving content, not assembling it.\n\nWhat used to take months can now be completed in days.\n\n**Impact**\n\nWe're compressing IND assembly from the order of months to days. For a typical biotech, that means:\n\n* Getting to first-in-human trials 2-5 months faster\n* Saving $100K+ in CRO fees per submission\n* Reducing rejection risk through automated compliance checks\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=95349&key=user_uploads/476131/5591f53a-d15a-449b-857d-c723e3535665)\n\nWe met at UPenn 16 years ago (yes, it’s been a minute) and have been best friends ever since.\n\nVincent led AI-powered document processing for Fortune 10 companies at Persona, automating KYB/KYC workflows at massive scale. Previously, he was a tech lead at Dropbox.\n\nJay was a tech lead in Google Search AI and previously worked at biotechs including Genentech, and has helped file INDs and led statistical design work for a Phase 3 ALS clinical trial. He holds two MS degrees in both Biotechnology and Computer Science.\n\nWe've seen both sides of this problem: the AI capabilities that can solve it and the regulatory complexity that makes it hard.\n\n**Our Ask**\n\nWe’d love warm introductions to regulatory leads at biotechs or CROs who want to accelerate IND preparation and modernize their submission workflows.\n\n📨 [founders@scooplabs.ai](mailto:founders@scooplabs.ai)\n\nThanks!", "url": "https://www.ycombinator.com/launches/Ont-scoop-ai-agents-that-speed-up-drug-trials-starting-with-ind-filings", "votes": 53, "created_at": "2025-11-10T02:17:36.817Z" } ] }, { "id": 30857, "name": "Aspect", "slug": "aspect-inc", "former_names": [ "Auler" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/815d0ff1058841ad5ec2314755cc2f91d92a6472.png", "website": "https://aspect.inc", "all_locations": "New York City, NY, USA", "long_description": "Aspect helps creative teams consolidate 5 media tools into one platform. We provide everything a media team needs: file ingest, local file streaming, review and approval, sharing, and archiving. \r\n\r\nAspect workspaces come with an agent that has complete understanding of your asset library including comments and revisions. Ask the agent to complete any task in the background: searching for files, setting up folder structures, labeling and organizing footage, and much more.\r\n\r\nCheck out https://aspect.inc/use-cases to see how different media teams use Aspect to deliver content faster.", "one_liner": "Intelligent media storage for creative teams.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761607655, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aspect-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aspect-inc.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aspectinc/", "x_url": "https://x.com/aspectratioinc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/815d0ff1058841ad5ec2314755cc2f91d92a6472.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": 1087643, "full_name": "Gurish Sharma", "title": "Founder/CEO", "founder_bio": "CEO/Founder at Aspect, prev founding member and leading GTM/sales at a post-production company.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gurish-sharma-/", "x_url": "https://x.com/gurishsharma", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33a4080d181db874a3efb8285f94ff8f5eca00bc.jpg" }, { "user_id": 2933005, "full_name": "Edison Chiu", "title": "Founder", "founder_bio": "Founder at Aspect, building agents for enterprise content teams. Prev scaled infra and AI at (the same) post-production company to ingesting and indexing 50TB+ a day", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edison-chiu", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73610986e38fe54a2c75bf0ca9735642bbb0afaa.jpg" }, { "user_id": 2938539, "full_name": "Bright Xu", "title": "Founder", "founder_bio": "Founder at Aspect, prev founding engineer at (the same) post-production company. Built and managed entire desktop/web clients. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brightxu/", "x_url": "https://x.com/brightlinxu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e82ebc7cd98b4bf67f90be2399fa8a459f9d6602.jpg" } ], "jobs": [ { "id": 96768, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/aspect-inc/jobs/uxITHnV-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120 - $175", "equity_range": "1.50% - 2.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "TypeScript" ] }, { "id": 116460, "title": "Founding Designer", "url": "https://www.ycombinator.com/companies/aspect-inc/jobs/jOu5iU0-founding-designer", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Design", "role_type": "Brand/graphic design", "salary_range": "$110 - $130", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101753, "title": "Aspect: Intelligent media storage for creative teams.", "tagline": "Aspect is the creative asset management platform that lets teams store, stream, review, and archive media in one place.", "body": "# TL;DR\n\nYour editor shouldn't have to download 100GB to start cutting. Your producer shouldn't have to re-upload that same file to review it. And nobody should be Slacking “which Dropbox folder is the latest version?” at 11pm. Aspect is the single platform where footage goes from upload, to local editor timeline, to client review link, without touching a second tool. Oh, and every workspace has an AI agent that knows every face, every word, and every frame across your entire library.\n\n# What Aspect does:\n\n[**Cloud storage that connects like a hard drive:**](https://aspect.inc/features/instant-access) Aspect mounts to your desktop like an SSD, and streams the bytes your application needs, so a 200GB R3D timeline plays back the moment you double-click it, even if your laptop only has 50GB free. Every project change syncs in real time across your team, so everyone can work on the same timeline.\n\n**Agentic search and work:** For the first time, a media platform comes with an AI agent that actually understands your content. Say _“collect everything from the Chicago shoot with the client’s logo, add it to a collection, and send a view-only link to the client”_ and it just does it.\n\n[**Review and approve:**](https://aspect.inc/features/review-and-approve) Every asset your team uploads or exports to the Aspect drive is instantly reviewable. Frame-accurate commenting, markup tools, version comparison, and customizable share links are built into every file.\n\n# How do I actually use this?\n\nUse Aspect as your team’s single source of truth for media files on the cloud and locally on your desktop. Our team will copy over any files your team already has on Dropbox, Google Drive, Frameio, or any other platform for free.\n\n**1)** Start by mounting a project from Aspect to your local desktop. Your project shows up as a hard drive on your computer. Open any file, no matter how large, and we will stream the bytes your computer needs to play back the video instantly. Any changes you make in a Premiere, Resolve, or Final Cut project show up for everyone else on your team in their timeline as well.\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f374bc9d-a686-414a-9a8e-4547c8f89e92)\n\n**2)** When you are looking for a piece of media, ask the Aspect agent to retrieve it for you. Right click on a file and open it directly in Finder:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/60636a50-1da5-4665-bd15-603f12eae6bd)\n\n**3)** When you are done with a rough or final cut, export the file back to the Aspect drive. New files sync across everyone who has the project mounted, and a preview will be generated automatically for your team to view the file on any browser:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/6eb26f19-ec05-4d2e-b8e7-1136fcc3224f)\n\n**4)** Review, markup, comment, and share this file the same way you would on any platform:\n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/f20bd7b5-59d4-4552-8a00-c4aa63037f10)\n\nAnd when you are done with a project or campaign, move them to archive storage with one click where your team can still view, search, and share assets.\n\n# Aspect is how teams save dozens of hours and thousands of dollars working with their media.\n\nMedia teams today are forced to stitch together multiple point solutions because there wasn't a platform that could do it all. Files lived in Dropbox, reviews live in Frameio, and editors streamed from LucidLink. That’s three subscriptions, three sources of truth, none of them connected. Aspect replaces all three, built with an agent that’s like having a DIT who’s already watched every frame.\n\n### **Do us a favor**\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house, creative agency, or an in-house creative team, let’s see how we can help your team ship content faster: \n\n![uploaded image](/media/?type=post&id=101753&key=user_uploads/1087643/71f8d28c-dea4-4d5c-9012-fe1236587b07)\n\n", "url": "https://www.ycombinator.com/launches/QTB-aspect-intelligent-media-storage-for-creative-teams", "votes": 22, "created_at": "2026-05-22T02:59:09.771Z" }, { "id": 94992, "title": "🎥 Aspect: AI platform for enterprise media content", "tagline": "We help enterprise content teams go from ingest, to rough cut, to final delivery faster by automating non-creative work", "body": "Hey! We’re Edison, Gurish, and Bright - founders of [Aspect](https://aspect.inc) 🎥 💥\n\n### **TL;DR**\n\nWe’ve spent **10,000+ hours** with in-house content teams as the founding members of a media asset management company, learning every broken part of their workflow. Post-production supervisors and assistants still have to organize folders, check revisions, comb through old content, and update data across project management tools, not to mention constant upkeep with clients. These are just a few of the manual tasks keeping creatives from doing what they love.\n\n**Aspect takes care of everything and more.**\n\n\n\n### What Aspect Does:\n\n* Ingests media from traditional post-production storage apps and NAS storage\n* Crawls every frame of video to create a humanlike understanding of whole libraries\n* Connects to other business tools to keep data in sync without human intervention\n* Searches for second-accurate clips, assembles rough cuts, reviews footage, creates folder trees - anything a post-production expert can do, Aspect can do\n\nAspect is the single source of truth from ingest, to rough cut, and final delivery, with agents you can send off to do the mundane work you hate.\n\n### How do I actually use this?\n\nAsk Aspect to pull your latest storyboard from an external app, or upload a PDF and ask it to assemble a rough cut from your latest shoot:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/8622bede-339a-44b8-bcde-f48fa6304dc7)\n\nUse the @ in a comment like you would with a teammate and ask Aspect to review a video based on revision notes from a previous version or another app:\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/de627308-8f5b-4e4d-8dc5-b14fa894a57a)\n\n…and so much more.\n\n### Aspect is the Future of media Production:\n\nPrevious waves of media-tech only focused on simplifying media retrieval with brittle tagging and non-actionable semantic search. The reality is that searching for files is just a fraction of the time wasted by post-production teams. Aspect is built on agents with humanlike **visual-temporal understanding**, so they _go beyond_ _just search_ - they work with video like any post-production teammate and can scale infinitely.\n\n### Our Story:\n\nWe’re [Edison](https://www.linkedin.com/in/edison-chiu/), [Gurish](https://www.linkedin.com/in/gurish-sharma-/), and [Bright](https://www.linkedin.com/in/brightxu/)! We spent 3 years learning about every role in post-production teams across thousands of companies. Post-production is by far the most human labor concentrated task in the creative journey, which is why we are building _the autonomous layer_ for the $200B video production industry.\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/80f3db12-ae95-4e7b-afbf-1e6e14e5d0e9)\n\n### Do us a favor:\n\nIf you know someone that works in post-production, **send them this post!** If you are someone who works at a post-house or within an in-house media team, let’s see how we can make your team move faster: \n\nWe are available whenever you are at 📫 [founders@aspect.inc](mailto:founders@aspect.inc) and 🌐 [aspect.inc/](https://aspect.inc)\n\n![uploaded image](/media/?type=post&id=94992&key=user_uploads/1087643/53e175e2-728b-4b53-b931-6e7628c70249)\n\n", "url": "https://www.ycombinator.com/launches/Oi8-aspect-ai-platform-for-enterprise-media-content", "votes": 23, "created_at": "2025-10-29T01:25:45.072Z" } ] }, { "id": 30858, "name": "Deeptrace", "slug": "deeptrace", "former_names": [ "Pyda" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ff25b7c4b471648245dcc565a8d35be62b42ef0.png", "website": "https://deeptrace.com/", "all_locations": "San Francisco, CA, USA", "long_description": "At Deeptrace, we’re building AI agents that investigate and resolve production alerts end-to-end. Deeptrace cuts through the noise, pinpoints root causes instantly, and gives engineering teams back what they need most: the freedom to build instead of firefighting.\r\n\r\nIn production, we're already seeing a reduction in time spent triaging, investigating, and resolving alerts with some of the fastest growing companies in the world.", "one_liner": "AI agents for on-call", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759160221, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deeptrace", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/deeptrace.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deeptrace-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1ff25b7c4b471648245dcc565a8d35be62b42ef0.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": 908012, "full_name": "Andy Lee", "title": "Founder", "founder_bio": "Co-founder at Deeptrace. At Tesla, Andy worked on visualization and sim for Optimus. He also worked on build/flight reliability at SpaceX for Starship, Falcon, and Dragon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andy-lee-126073148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f92c4d13818241b73f0495a02723328ade49e1a1.jpg" }, { "user_id": 905914, "full_name": "Sri Somasundaram", "title": "Founder", "founder_bio": "Co-founder at Deeptrace. Built and launched the embedded card + banking product at Parafin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/srinath-somasundaram-768bb8210/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64ed0c284b0df239b69a5b9f2b06569974b2f5d8.jpg" } ], "jobs": [ { "id": 90890, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/deeptrace/jobs/HUgeLrM-founding-engineer", "location": "San Francisco, CA, US / Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.10% - 2.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Python", "Next.js" ] } ], "news": [], "launches": [ { "id": 95393, "title": "Deeptrace - AI agents for on-call", "tagline": "Triage, root-cause, and fix every engineering alert on autopilot", "body": "**tl;dr** Deeptrace is an AI SRE that investigates and resolves production alerts end-to-end. Deeptrace cuts through the noise, pinpoints root causes instantly, and gives engineering teams back what they need most: the freedom to build instead of firefighting.\n\nHey everyone! This is Andy and Sri from Deeptrace, and we’re building the tool we always wished we had as engineers: AI agents for on-call :) \n\n[Deeptrace: AI agents for on-call](https://www.youtube.com/watch?v=G7xrTHTxZ4k)\n\n🚨 **Problem**\\\nModern engineering teams spend the majority of their time maintaining and debugging production systems. The process of triaging, root causing, and resolving alerts is a massive drag on engineering velocity. This also creates fragile dependencies within an engineering org where no one engineer can hold every system in their head.\n\n**💡 Our Solution**\\\nAI agents that debug every issue, crash, and alert in production automatically from alert to PR. Here’s how it works:\n\n**1) AI FDE model:** Build an internal mapping between your logs, traces, metrics, and codebase to truly understand how your production system behaves.\\\n**2) Automatic PRs:** Use the context from each investigation to make a targeted PR to remediate the issue.\\\n**3) Chat:** Engage in a co-pilot experience with Deeptrace to vibe debug and dig deeper into an issue.\n\n**🤝 Our ask**\\\nWe’d love to talk! Check us out [here](https://deeptrace.com) and feel free to email us at: [founders@deeptrace.com](mailto:founders@deeptrace.com) or book a [meeting](http://cal.com/sri-deeptrace)! ", "url": "https://www.ycombinator.com/launches/Oob-deeptrace-ai-agents-for-on-call", "votes": 16, "created_at": "2025-11-12T06:56:34.497Z" } ] }, { "id": 30859, "name": "Locus", "slug": "locus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8e0c09c51f4da48f69bd8d711a166171d7420a4.png", "website": "https://paywithlocus.com", "all_locations": "San Francisco, CA, USA", "long_description": "We make your agents pay.\r\n\r\nAs agents evolve from tools into dependable, autonomous actors, they’ll need the ability to execute open-ended workflows end-to-end.\r\n\r\nThis inevitably means payments: accessing paywalled data, transacting for services or with other specialist agents. But autonomy requires guardrails. Businesses and developers will need a way to ensure their agents only spend how much and on what they’re supposed to.\r\n\r\nThe machine economy is coming, and Locus (YC F25) is building the connector businesses will need to participate. We connect agents securely to funds, letting you define permissions and limits for every transaction. Each payment is traceable, auditable, and fully reconcilable with your existing financial stack.", "one_liner": "Payment infrastructure for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761342337, "tags": [ "Finance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/locus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/locus.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paywithlocus/", "x_url": "https://x.com/paywithlocus", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b8e0c09c51f4da48f69bd8d711a166171d7420a4.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": 2656097, "full_name": "Cole Dermott", "title": "Founder/CEO", "founder_bio": "I like moving money. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/coledermott/", "x_url": "https://x.com/coledermo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52c3bdc2a2434f4dbceafbdc97c3d23d62ce9210.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103214, "title": "Locus Founder", "tagline": "An AI agent that builds and runs an internet business for you", "body": "![uploaded image](/media/?type=post&id=103214&key=user_uploads/2656097/bfeee97f-7eb2-42d3-ad2e-b02cfc5ee724)\n\nHey everyone 👋\n\nOn Monday, June 15th, at 8am PST we're launching **Locus Founder** (), an AI agent stack that builds and runs an internet business for you. You bring the idea, it does the rest, and you drive the whole thing by texting it (iMessage, SMS, Telegram, or web).\n\n**What it does**\n\nText it an idea and it goes to work. It researches you and proposes a business aligned to who you are, does market research across 40+ paid data APIs, generates a full brand kit, and builds and deploys a real full-stack website (frontend, backend, database, the works). From there it sources products (print-on-demand, digital goods, or a curated catalog of 500+ dropshippable products), runs outbound across email and social, sources leads from Apollo, Google Maps, Reviews, Instagram, YouTube, and Yelp, generates short-form video ads and posts them to Meta, and handles payments (USDC direct transfers, card in/out). Loki, our mascot, is the face guiding you through all of it.\n\n**Demo video:** \n\n**The backstory**\n\nA lot of you watched the earlier pieces ship, so the arc will be familiar.\n\nWe started with **Pay With Locus**, non-custodial wallet infrastructure so AI agents could spend money safely, with spending controls and auditability built in. The feedback was consistent: why would we give an agent money when there's nothing for it to buy?\n\nSo we built the supply. **Build With Locus** (full-stack deployments for agents via pay-per-use API endpoints), a catalog of 40+ pay-per-use data APIs, and **Checkout With Locus** (a Stripe-style, machine-readable payment SDK that takes USDC, is human-or-agent payable, and settles funds straight back into the agent's Locus wallet).\n\nThen users hit us with the real one: why would I still give it money if it can't earn me any back? I'm not comfortable handing my agent a dollar knowing it can't reasonably make me one.\n\n**_That question is the entire reason Locus Founder exists:_** the AI agent that earns you a dollar by running your business, just by texting it. And it's an evolution of everything we've built. Every Locus Founder user is a Pay With Locus user (credits run off our wallets), a Build With Locus deployment (sites deploy on BWL), and a consumer of our pay-per-use API suite. It's the first app anyone can pick up and use, sitting on top of all of our infrastructure.\n\n**_The honest why underneath it:_** the K-shaped economy framing has never sat right with me. The tools to build aren't so expensive that people are fully priced out yet. There's still a window where someone can make an active effort to change their trajectory. Locus Founder is our effort. It's for the people who always wanted to start something but kept running out of time, money, skills, or resources. We're bringing the same AI tools us folks in tech have been bragging about for two years directly to everyone else, in a form they can actually use. Above all else, our goal is to earn our users a dollar.\n\n**Launch video:** \n\n**Pricing (kept honest):** We’re doing limited daily free usage so people can try the product instantly. Additionally, we have a subscription for $50/mo which includes effectively unlimited access. We take 5% of profits only above $1,000/mo, and nothing under that. Our goal is truly for our users to earn.\n\n**My asks**\n\n1. **Try the onboarding and tell me where it's rough.** I want the brutal version. [locusfounder.com](http://locusfounder.com)\n2. **Intros to anyone who's always wanted to start something but never had the time.** That's exactly who we built this for.\n\nThank you all. This community has been a huge part of getting us here.\n\nCole", "url": "https://www.ycombinator.com/launches/Qqk-locus-founder", "votes": 7, "created_at": "2026-06-14T23:16:28.675Z" }, { "id": 95052, "title": "Locus – Payment infrastructure for AI agents", "tagline": "Give AI agents spending power without losing control", "body": "![uploaded image](/media/?type=post&id=95052&key=user_uploads/2656097/b9c1fd17-80cf-4a84-b400-34fc2577f0db)\n\nHey YC! We’re Cole and Eliot, and we’re building **Locus,** which is payment infrastructure for AI agents. We help developers safely connect agents to funds and define exactly how those funds can be used, with agent identities, budgets, permissions, and full audit trails.\n\n# Our Story\n\nWe came to this problem from opposite ends of the same frontier. Cole spent last summer at Coinbase, building B2B payment products and seeing firsthand how control and compliance shape financial infrastructure. Eliot was working at Scale AI, maintaining data pipelines for the world’s largest AI labs. He watched as models began to tackle sustained, open-ended tasks. Both of us realized that as agents grow more capable, the next bottleneck isn’t intelligence: it’s _trust_.\n\nPayments are a web primitive. And as we task agents with increasingly long and noisy workflows, they will _inevitably_ need to make payments. This might mean ordering parts to complete a physical repair, paying another agent for design work, hiring a contractor for a one-off task, or making micropayments to access private data.\n\nBut today’s payment rails were built for humans, not autonomous systems. There’s no safe way to say, “this agent can spend $500/day on these vendors,” and have that rule enforced. No audit trail showing which agent authorized what and why.\n\n# Make Them Pay — Today!\n\nRecently, OpenAI, Google, Visa, and Coinbase all released their own agentic payment protocols. But while everyone’s racing to build the next payment rails, nobody’s building the _control_ layer: the foundation that actually gives you power over how your agents use these rails. **Locus is building exactly this.**\n\nLocus currently supports USDC on Base, with support for ACH and wire transfers coming soon. You can give your agents spending power and start building today.\n\n# Demo\n\nWe built a micro-task payment system where an agent evaluates work submissions, scores quality, and pays contributors automatically. You set rules like \"max $50 per payout, $500/day, must include a justification.\" The agent handles the rest. No manual approval needed, but you have full audit trails showing who got paid, when, and why.\\\nhttps://youtu.be/ICSzoZTq9JE\n\n# Join Us!\n\nIf you build agents, join our beta and help shape the future of agent-driven finance! Learn more and sign up at [paywithlocus.com](http://paywithlocus.com). We'll give you $10 in USDC to experiment with.\n\nWe’re also building a community of builders in the space and would love for you to join. If agents with spending power sound at all interesting to you, join here to stay in the loop: https://discord.gg/TGnjUceXwE\n\n# [https://youtu.be/6rntHGR475U\\\\](https://youtu.be/6rntHGR475U%5C)\n\n# Contact Us\n\nEmail [founders@paywithlocus.com](mailto:founders@paywithlocus.com), or find us on [LinkedIn](https://www.linkedin.com/company/paywithlocus/) or [X](https://x.com/PayWithLocus).\n\n**Cole Dermott:** [LinkedIn](https://www.linkedin.com/in/coledermott), or DM [@coledermo](https://x.com/coledermo) on X.\n\n**Eliot Lee:** [LinkedIn](https://www.linkedin.com/in/eliotlee3/), or DM [@eliotlee33](https://x.com/eliotlee33) on X.", "url": "https://www.ycombinator.com/launches/Oj6-locus-payment-infrastructure-for-ai-agents", "votes": 84, "created_at": "2025-10-31T16:24:24.218Z" } ] }, { "id": 30861, "name": "Caddy", "slug": "caddy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.png", "website": "https://caddy.app/", "all_locations": "New York City, NY, USA", "long_description": "If you’ve got a lot to do, we believe AI can make things feel doable. Caddy is our core product: a Personal AI that helps you stay on top of everything going on. All you have to do is text. \r\n\r\nOn overwhelming days, it’s super simple to just drop any task in a text thread, and Caddy will help you handle it. Caddy also keeps an eye on your calendars, chats and tasks to make sure you stay focused on what matters. If something needs you, Caddy will nudge you, or can just do it if you don’t have time. \r\n\r\nThe best part is, no two Caddys are alike. The more you use Caddy, the more it learns your vibe, how you work, and what you care about. ", "one_liner": "Your Personal AI for everyday work. Lives in your texts.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761153567, "tags": [ "Automation", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/caddy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/caddy.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/try-caddy/", "x_url": "https://x.com/try_caddy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a18ef62feeed4267cb16429f2de1d3e6abbb159.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": 816824, "full_name": "Connor Waslo", "title": "Founder/CEO", "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led product for Loom's AI Suite and Monetization team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connor-waslo/", "x_url": "https://x.com/ConnorWaslo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d8d8643232c2dbf39e1033e522507a22d616968.jpg" }, { "user_id": 2945950, "full_name": "Rajiv Sancheti", "title": "Founder/COO", "founder_bio": "Co-founder of Caddy. Building the operating system that understands your workflows and gets work done for you. Previously led design for Loom’s AI suite, and before that, worked at Airbnb and KP Fellows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rajivsancheti/", "x_url": "https://x.com/sanchetio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f880b5dcccfb7e73d449f8caaeb35326d129e32f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95249, "title": "Caddy: The Voice Interface for Your Computer", "tagline": "Changing how people work across their computer and apps with voice", "body": "Hey everyone, we’re [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/).\n\nWe led Loom’s AI suite and saw firsthand how natural language was changing how people work. Now we’re building Caddy, the voice interface for your computer that lets you automate work across all your apps.\n\nJoin the waitlist at [trycaddy.ai](http://trycaddy.ai)\n\n**Launch video:** https://www.youtube.com/watch?v=v1HwM9mBYHU\n\n### **The problem**\n\nWork today happens across a maze of apps. Slack for messaging. Linear for tickets. Gmail for communication. Calendar for scheduling. Every task requires jumping between tabs and tools.\n\nEven with AI everywhere, we are still using the same old interfaces. Voice assistants like Siri or Alexa can answer trivia but cannot do real work. They do not understand what is on your screen, what app you are in, or what you mean when you say “follow up on this.”\n\nThe result is constant context switching, lost flow, and hours wasted on work that should happen automatically.\n\n### **What we are building**\n\nCaddy lives on your desktop and lets you operate your computer with your voice. It has two simple modes.\n\n**Action mode:** You speak your intent, and Caddy takes action.\n\nAsk Caddy to create a ticket in Linear, send a message in Slack, or schedule a meeting in Calendar. Caddy sees what is on your screen and connects it to your apps, so you can stay focused on the work that matters.\n\n**Dictation mode:** Never type again\n\nWrite emails, respond to messages, or leave comments anywhere text input exists. It is a direct replacement for typing that works globally across your computer.\n\nTogether, these two modes let you automate work and control your computer completely with your voice.\n\n![uploaded image](/media/?type=post&id=95249&key=user_uploads/2945950/d99dbe1c-8793-4405-a7ca-568f05c831fd)\n\n### **Who Caddy is for**\n\nWe are starting with founders, operators, productivity power users and the voice first generation who spend their days moving between tools and losing time to repetitive work. If that sounds like you, we would love to get you early access.\n\nTo join our waitlist add your email at [trycaddy.ai](http://trycaddy.ai) or shoot us a message [founders@trycaddy.ai](mailto:founders@trycaddy.ai)\n\n### **The team**\n\nBefore starting Caddy, [Connor](https://www.linkedin.com/in/connor-waslo/) and [Rajiv](https://www.linkedin.com/in/rajivsancheti/) spent four years at Loom where they led product and design for Loom’s AI suite and core product.", "url": "https://www.ycombinator.com/launches/OmH-caddy-the-voice-interface-for-your-computer", "votes": 149, "created_at": "2025-11-06T16:34:46.562Z" } ] }, { "id": 30862, "name": "Sorce", "slug": "sorce", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b7d8d3ea28624898e277427bd19760e45bd0535.png", "website": "https://sorce.jobs", "all_locations": "San Francisco, CA, USA", "long_description": "Tinder for Jobs. Swipe right, AI applies on your behalf.", "one_liner": "Tinder for jobs", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Human Resources", "launched_at": 1759034914, "tags": [ "Marketplace", "Consumer", "Recruiting", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Human Resources" ], "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/sorce", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sorce.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sorcejobs/", "x_url": "https://x.com/sorcejobs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b7d8d3ea28624898e277427bd19760e45bd0535.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": 1252829, "full_name": "Oluwapelumi Dada", "title": "Founder/CEO", "founder_bio": "working on sorce; prev. tesla, dell", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oldada", "x_url": "https://x.com/marvy_101", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/05c45cc90eb3cfa083aca07334ee16d3ce416839.jpg" }, { "user_id": 1327956, "full_name": "Daniel Ajayi", "title": "Founder/CTO", "founder_bio": "22 | cto @sorcejobs | mit cs '25 | prev citadel securities & nvidia", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dan-ajayi/", "x_url": "https://x.com/therealdajayi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f95f7110ebf60269f33b9d4fef660732a23ae94c.jpg" }, { "user_id": 1969562, "full_name": "David Alade", "title": "Founder/COO", "founder_bio": "Northeastern '25, prev JPMC, network science institute", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-alade/", "x_url": "https://x.com/davidaladee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4caf990dd5b17961b3f7dfb83f26e78d26e8fce.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94395, "title": "Sorce - Tinder for Jobs (AI Applies for you)", "tagline": " Swipe right, and AI will apply on your behalf on the company’s website.", "body": "https://www.youtube.com/watch?v=R4bsj0JUakQ\n\nHey friends!\\\n\\\nSorce is like Tinder, but for jobs. When you swipe right, our AI agent applies on your behalf on the company's website. It writes cover letters too.\n\nIf you know anyone currently looking for a role, you know it’s really tough. Entering the same information repeatedly on various websites is tedious, and candidates hate it.\n\nA CS student looking for an internship applies to 100-200 openings. In this current job climate, people are applying to even more. Imagine filling out your name and why you want to work at XYZ Company 100 times.\n\nSo far, people like using Sorce. We just crossed 20M swipes and have helped 1000+ people land jobs.\n\nOur users have gotten interviews/offers through Sorce at companies like:\n\nFigma, Ramp, Kleiner Perkins, OpenAI, Lucid Motors, Humane, Twitch (S07), DoorDash (S13), Instacart (S12), Coinbase (S12), Scale AI (S16), Deel (W19), Webflow (S13), Amplitude (W12), Postman, Anduril, Flexport (W14), Mercury, Windsurf, Groq, MoniePoint and many more!\n\n[Download our app here.](http://sorce.jobs/download)\n\n**How you can help us:** Send this to your friend/family member looking for new roles\n\n_or_\n\nif you’re a company that’s hiring, please schedule some time [here](https://cal.com/marvy101/hiring) to tell us about the problems you currently face with hiring. We want to learn as much as we can!\n\n\\\na slice from our [wall of love](https://www.sorce.jobs/love):\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/b4ccd992-f239-4ad9-a2ab-a3c60834eec5)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/c9c2460a-02a0-4668-babb-1f1e08d96f6e)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/6f92868d-49b1-4541-ab1b-f65a1d9f5d30)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/faba1fe7-533a-457c-8702-c8986cefb764)\n\n![uploaded image](/media/?type=post&id=94395&key=user_uploads/1252829/f5f90c4b-e1cb-4f24-9c83-95d0f72b2c73)\n\n", "url": "https://www.ycombinator.com/launches/OYV-sorce-tinder-for-jobs-ai-applies-for-you", "votes": 27, "created_at": "2025-10-06T05:30:09.110Z" } ] }, { "id": 30863, "name": "The Context Company", "slug": "the-context-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/897cd2d31bc7dc869e170422ebc8e24a66f3e2bc.png", "website": "https://www.thecontextcompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "We analyze every conversation between your customers and your AI agent to find what's losing you customers and money. Then we help ship the fix and prove it worked.\r\n\r\nNobody on the team can read every conversation once an agent is in production. TCC does, and turns them into patterns tied to the accounts they affect: where customers get stuck, what they wish the agent could do, and where it's spending more than it needs to.\r\n\r\nEngineers ask about a pattern from their IDE through our MCP, get the conversations and traces behind it down to the tool call or prompt that went wrong, ship the fix, and benchmark cost and quality before and after. Product sees what customers are actually trying to do with the agent and where it falls short, broken out by topic and account, which becomes the backlog for what to build next. Customer success sees which accounts the agent is struggling with before the customer says anything, and steps in with the full conversation on hand.\r\n\r\nAny agent framework, a few lines of code. If you're running an agent in production or about to launch, ping us.", "one_liner": "Find what's losing you customers and money in your AI agent and fix it", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759953898, "tags": [ "Developer Tools", "B2B", "Analytics", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/the-context-company", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/the-context-company.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-context-company/", "x_url": "https://x.com/thecontextco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/897cd2d31bc7dc869e170422ebc8e24a66f3e2bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f79a5b20add310d8c52a8e37b33c10a81faf8f5e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/af950c1fa4e85da46b706668594f2e3898e07954.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2357695, "full_name": "Arman Kumaraswamy", "title": "Founder", "founder_bio": "Cofounder at The Context Company (Monitoring for AI agents)\n\nI've been in love with startups since I was in high school :)\n\nPrev studied CS+Math at UF, and engineered at Mintlify, Apten, RevisionDojo, and Solace Health", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armankumaraswamy/", "x_url": "https://x.com/ksw_arman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8401e71daab0e1115cff57cc14f4453c2bce6052.jpg" }, { "user_id": 2579624, "full_name": "Rohil Agarwal", "title": "Founder", "founder_bio": "What is up! Previously studied EECS + Business at UC Berkeley M.E.T. and worked on Gmail Intelligence at Google, where I built models powering intent detection for 26B+ daily emails.\n\nNow building The Context Company, where we are powering developers to ship AI agents they can trust. I'm excited about solving context engineering 🙃\n\nOh, and I take one selfie every day!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohil-ag/", "x_url": "https://x.com/rohil_ag", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d30f11084359006ce25e5cf6c97ee26d09cb543.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94947, "title": "The Context Company - Catch Silent AI Failures Before They Break Production", "tagline": "Full observability for AI agents, from bad tool calls, loops, and hallucinations to latency and cost, in 10 lines of code.", "body": "What is up! We’re [Arman](https://www.linkedin.com/in/armankumaraswamy/) and [Rohil](https://www.linkedin.com/in/rohil-ag/) - cofounders of [The Context Company](https://thecontextcompany.com)\n\n**TL;DR**\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/129e5656-94c6-42e6-a2ba-6ac545b0ef94)\n\nSetup takes under 10 lines of code, and we now support Vercel AI SDK, LangChain, and LangGraph, with more frameworks coming fast.\n\n**Our Ask**\n\n* If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.\n* Setup takes just a few lines - DM us on Bookface or Slack, or email [founders@thecontextcompany.com](https://mailto:founders@thecontextcompany.com), and we’ll personally onboard you in 15 minutes.\n* Not using those frameworks yet? Tell us what you’re building with, and we’ll add support fast.\n\n\n\n**The Problem**\n\nAI agents often fail quietly. Traditional observability tools only show latency or stack traces. They miss the silent layer of failures that happen inside reasoning steps or tool calls.\n\nMost teams end up waiting until users report issues, and by then, it’s already too late. As a developer, I know you’ve been there scrolling through endless logs, trying to piece together what an agent actually did and why it failed (because trust us, we have too 🙏🏽).\n\n**We’re rethinking observability from the ground up and making silent failures a first-class primitive in agent monitoring.**\n\n\\*\\*Our Solution:\\*\\*\\\nInstead of just visualizing traces, we analyze them and detect reasoning breakdowns across runs. In addition to traditional metrics like latency, cost, and token usage, The Context Company surfaces failures in a clean, developer-friendly dashboard.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/861e36d0-5a8b-4555-a738-e2489729f99f)\n\nAnd we’ve gone beyond the cloud:\n\nYou can now run our developer package locally to debug traces on your machine, even when you’re offline or iterating fast.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/b7722f3f-a018-4c46-806c-7ef4be35bd44)\n\n**Our Progress**\n\n* Framework support: Vercel AI SDK, LangChain, and LangGraph.\n* Instant setup: <10 lines of code - no refactoring or modifying your agent needed. This is what it looks like:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/560baa96-5818-4d20-bf82-43f2d3775ca3)\n\n* Local debugging: Run observability locally on your laptop for real-time trace analysis.\n* Dashboards: Full visibility into agent runs, tool calls, latency, costs, and semantic failures.\n\n**The Team**\\\nArman and Rohil have been best friends since 6th grade (8+ years now!). \n\nArman optimized the public-facing AI agent at Mintlify, where he cut failure rates by 82%, and worked with enterprise design partners to build custom agents. Rohil worked on Gmail Intelligence at Google, reducing hallucinations in intent detection by 27% across 26B+ daily emails. \n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/70e7935c-7606-4e8f-a7af-4ebf44cf5514)\n\nhttps://www.thecontextcompany.com\n\nP.S. Even if you’re not using AI SDK, LangChain, or LangGraph, we’re adding support for other frameworks soon. Tell us what you need 😎\\\n\\\n\\\nDashboard:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/e9425baf-3e5f-4098-b64f-497a74232f5a)\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/ece01a4a-5089-46dd-a12a-eeef441f5cd3)\n\n", "url": "https://www.ycombinator.com/launches/OhP-the-context-company-catch-silent-ai-failures-before-they-break-production", "votes": 34, "created_at": "2025-10-27T21:36:21.070Z" } ] }, { "id": 30864, "name": "dari.dev", "slug": "daridev", "former_names": [ "Dari" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db1cb9787e09629b6ccb1639f659a5f8d0bb21b1.png", "website": "https://dari.dev", "all_locations": "San Francisco, CA, USA", "long_description": "We let developers run more agents while keeping your token bill low. We train custom models to determine how we can maintain performance while reducing your token bill. \r\n\r\nIntegrate into your own apps, or use our router with Claude Code, Codex, or any agent of your choice. ", "one_liner": "The Routing Layer for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759188885, "tags": [ "Developer Tools", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/daridev", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/daridev.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usedari/", "x_url": "https://x.com/daridotdev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db1cb9787e09629b6ccb1639f659a5f8d0bb21b1.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": 870512, "full_name": "Avyay Varadarajan", "title": "Founder/CEO", "founder_bio": "Building dari.dev. Previously CS @ Caltech, SWE @ Uber, ML @ Lakers, startups. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avyayv/", "x_url": "https://x.com/avyvar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/884b1b579b56379ff3af578d2418d837f1073468.jpg" }, { "user_id": 2528047, "full_name": "Benjamin Hong", "title": "Founder/CTO", "founder_bio": "Building dari.dev", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminyhong/", "x_url": "https://x.com/benhong03", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c2c7ad088a41bdb8bec806722ed8ec8077d89ce.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101252, "title": "dari.dev - The easiest way to deploy your agents to production", "tagline": "Get a versioned, stateful API for your long-running agent in 5 minutes", "body": "Point our CLI at your agent project, run `dari deploy`and get a production-ready agent API.\n\n\n\n## What it is\n\n[dari.dev](http://dari.dev) turns an agent project into a **versioned, stateful API endpoint**. We’re building on top of the best open-source harnesses starting with **Pi**. Support coming soon for **Hermes** Agent. Book a call to deploy your proprietary harness.\n\n### How it works:\n\n* Drop a dari.yml + tools + skills at your repo root\n* “dari deploy .” uploads a snapshot and publishes a new version behind a stable agent URL\n* Clients open a **durable session** and stream multimodal events (text, files, images)\n* The platform runs the harness, spins up a sandbox workspace per session, and handles logs, retries, and credentials\n* New publishes create new versions. In-flight sessions stay pinned to the version they started on\n\n## The problem:\n\nIf you're building an agent right now, you're probably:\n\n* Stitching together durable execution + a sandbox provider + Postgres + a secret store yourself\n* Losing state when a turn crashes mid-execution\n* Shipping “agents” that can’t survive a 30-minute task\n* Rebuilding the same infra (auth, retries, workspace, logs) on every project\n\nMost agents break mid-task.\n\n## With [dari.dev](http://dari.dev):\n\n* **Durable sessions:** Long-running tasks survive crashes, restarts, and redeploys. Resume from the same session_id days/months/years later.\n* **Versioned deploys:** Every publish is a new version behind one stable URL. Roll forward without breaking live sessions.\n* **Bring your own sandbox:** Sandboxes run under your provider account and API key. You control limits and data. E2B today, Daytona / Blaxel / Modal coming soon.\n* **BYOK with OpenRouter / any OpenAI-compatible API endpoint:** Use your own key, pick your model, control spend, keep logs.\n* **Custom tools**: Drop Python or TypeScript tools under tools/<name>/. We run them with retry policies you define.\n\n**The API:**\n\nPublish once. Then, create a session and send messages + stream responses.\n\nWe provide full observability, session-level event logs, per-turn state, and workspace file outputs attached to the session lifecycle.\n\n## Why we built this\n\nWe started building browser automation agents and kept hitting the same missing primitive, a durable control plane underneath.\n\nWe built it for ourselves, then realized every other team shipping agents (coding, research, ops) is rebuilding the same layer.\n\nIf you’ve wired together durable execution + a sandbox provider + Postgres + a secret store just to run one agent in prod, this is for you.\n\n## Get access\n\n* App: [app.dari.dev](http://app.dari.dev), docs: [docs.dari.dev](http://docs.dari.dev)\n* Install the CLI, run `dari auth login`then publish from your repo\n* Pricing: Either you pay your providers directly (E2B + OpenRouter/OpenAI) or use our managed Anthropic/OpenAI/OpenRouter offerings. No markup from us initially.\n\nBook a call: calendly.com/avyay-dari/30min or email me at [avyay@dari.dev](mailto:avyay@dari.dev).", "url": "https://www.ycombinator.com/launches/QL6-dari-dev-the-easiest-way-to-deploy-your-agents-to-production", "votes": 4, "created_at": "2026-05-12T22:10:48.140Z" }, { "id": 94481, "title": "Dari - The easiest way to build reliable browser use agents", "tagline": "Build browser agents that can cache workflow steps and handle two-factor authentication. ", "body": "Hey everyone,\n\nWe’re [Ben](https://www.linkedin.com/in/benjaminyhong/) and [Avyay](https://www.linkedin.com/in/avyayv/), the cofounders of [Dari](https://www.usedari.com)!\n\n**Tl;dr**\n\nhttps://youtu.be/qE8wWHLhcv0\n\nWe've built the first browser automation platform reliable enough for production. While other agents fail on repetitive tasks, Dari caches successful workflows and handles 2FA automatically, making browser automation actually work for real businesses.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3189ec11-b583-4b3e-94a8-a489ace5f2a0)\n\n❌ **The Problem** / ✅ **Our Value**\n\nRunning regular browser use agents as-is has limited viability for repetitive tasks. They're too slow, too expensive, and too unreliable. And forget about authenticated sites: most agents can't handle 2FA at all.\n\nDari is different. We're purpose-built for production use, combining intelligent caching with automatic 2FA handling so your automations actually run reliably, day after day.\n\n![uploaded image](/media/?type=post&id=94481&key=user_uploads/870512/3282af1a-0e2b-4e5b-a6ef-24962de4c65e)\n\n**💪 Our 3 Core Strengths**\n\n**1. 🔒 2FA That Actually Works: Automate Authenticated Workflows**\n\n* **Universal 2FA support:** Automatically handles text message codes, TOTP authenticators, and email verification.\n\n**2. ⚡ Intelligent Caching: Fast and Reliable**\n\n* **Run once, cache forever:** After running a workflow with an LLM once, Dari can replay the workflow using deterministic DOM steps\n* **Fallback intelligence:** If a site changes, Dari automatically detects it, adapts, then caches the new path\n* **Why other agents fail:** Regular browser-use agents call LLMs on every single run. Dari only uses AI when needed.\n\n**3. 🧩 Built for Developers: Real Integration, Not Toys**\n\n* **Chat-to-automation:** Describe your workflow in plain English and get a working automation in seconds.\n* **API-first triggers:** Start workflows via POST request, integrate directly into your stack.\n* **Webhook & Wait:** Call your backend mid-workflow, run custom code, and continue the automation seamlessly.\n\n**💥 Real Impact**\n\n* A voice AI company automated data entry and form filling tasks, saving 10+ hours per week.\n\n**🧑‍💻🧑‍💻 How we got here**\n\nWe’re two Caltech CS grads who have previously worked on software at Amazon and Uber. \n\nWe’ve been building with browser use agents since the initial model releases and were constantly frustrated by how unreliable they were for production use-cases. We built Dari to fix the problems we’ve noticed since the start. \n\n**🎉 Get Started**\n\nSign up or schedule a demo at [usedari.com](http://usedari.com) or contact us at [founders@usedari.com](mailto:founders@usedari.com). ", "url": "https://www.ycombinator.com/launches/OZt-dari-the-easiest-way-to-build-reliable-browser-use-agents", "votes": 21, "created_at": "2025-10-08T16:09:36.103Z" } ] }, { "id": 30865, "name": "Lunavo", "slug": "lunavo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb85e74794b0138c39337072b830c38a4934f.png", "website": "https://lunavo.ai", "all_locations": "BY, Germany", "long_description": "We build AI that runs carrier operations.\r\n\r\nLunavo is the AI assistant for carriers. It plugs directly into their existing toolstack, understands their processes, and monitors all incoming data and requests. Lunavo runs end-to-end backoffice operations, handling repetitive tasks, resolving issues autonomously, and escalating only what matters.\r\n\r\nLunavo helps carriers scale operations without scaling headcount.", "one_liner": "Lunavo is the AI assistant for carriers.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1762148896, "tags": [ "Logistics", "Transportation", "Operations", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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/lunavo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lunavo.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/lunavo-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb85e74794b0138c39337072b830c38a4934f.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": 2673176, "full_name": "Felix Lösch", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Lunavo | Building AI that runs carrier operations\n\nEx-McKinsey and former Managing Director at a Series A robotics logistics startup, where he scaled commercial and operations functions.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felix-loesch", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3943632025f5bce2ff8c24966ec5eb97c306e1af.jpg" }, { "user_id": 2331002, "full_name": "Niclas Heun", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Lunavo | Building AI that runs carrier operations.\n\nHe studied CS at the Technical University of Munich and the University of Waterloo, graduating top of his class. He previously worked as an AI researcher on model robustness and led teams developing AI for shop-floor operations for Siemens.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/heun", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9fcec95d0ff97373166d4466a58c892da81f1d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95229, "title": "Lunavo - The AI assistant for trucking carrier operations", "tagline": "AI that runs your backoffice - so your team can run logistics.", "body": "Hi everyone, we’re Niclas and Felix, and we’re launching Lunavo!\n\n**TLDR:**\n\nLunavo is the AI assistant that automates the backoffice of trucking carriers so teams can focus on customers and growth.\n\n_Launch Video:_\n\nhttps://youtu.be/fKWHgdt8hv0 \n\n**The problem:**\n\nTrucking carriers coordinate complex operations to transport goods from A to B , but they spend most of their time on repetitive admin work like entering orders, updating portals, and checking systems. Most communication is still handled manually.\n\nThis creates two problems. First, teams waste hours on busywork instead of managing operations. Second, the noise makes it nearly impossible to spot issues that need attention until it's too late. A delayed pickup, missing document, or customer escalation only gets noticed when it's already urgent.\n\nThe real complexity isn't in data entry. It's in catching and resolving issues early: rerouting around delays, finding backup capacity, flagging exceptions before they cascade. Carriers need visibility and time to handle what matters, not endless manual updates.\n\nWe sat with dispatchers managing hundreds of shipments a day and saw their inbox and phone effectively act as their task managers.\n\n·   Many handle between 50 and 100 emails per hour, and most of them are repetitive.\n\n·   Teams constantly pull data from emails, PDFs, and portals into their Transport Management System (TMS).\n\n·   They often jump between ten or more tools that don't communicate properly with each other.\n\nCompanies end up paying skilled employees to move data between tools instead of running logistics\n\n**Our solution:**\n\nLunavo integrates into a carrier's existing systems as an AI teammate. When a new order arrives, it automatically extracts details, updates the TMS, and confirms with the customer. Dispatchers see: \"New order from Customer X confirmed and scheduled.\"\n\n**The system handles routine work while monitoring for exceptions** like delayed pickups, missing documents, or customer escalations, surfacing issues before they become urgent. It understands task dependencies and escalates only what needs human judgment.\n\nBecause logistics workflows often depend on implicit knowledge, our system can understand customer workflows and adapt to it. Our agents self-improve through dispatcher feedback, company documentation, and user-defined rules, automatically adapting to each customer's unique requirements without manual reconfiguration.\n\nLunavo manages to understand incoming documents, extract relevant information, challenges the inputs on plausibility and integrates them into the TMS. In case of anomalies, the system loops in the dispatcher:\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/607a54fb-83cd-423d-8c36-312523817e4b)\n\n**_Before Lunavo_**_:_ A driver is delayed. The dispatcher has to (1) log into the GPS portal, (2) inform the customer with an update, (3) manually update the TMS, and (4) update the customer's portal for delivery time. This takes up to 15 minutes of work.\n\n**_With Lunavo:_** Lunavo detects the truck's GPS delay. It _automatically_ emails the customer, updates their portal, and sends a single notification to the dispatcher to keep him in the loop: \"Driver 5 is delayed 30m. Customer X has been notified. No action needed.\"\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/bdb58f1b-2c10-4e29-b485-d64718f81c6f)\n\nLunavo helps trucking companies scale operations without scaling headcount.\n\n**About us:**\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/531e2a61-c332-4ee9-ae0a-520a28e47341)\n\nWe're Felix and Niclas, founders of Lunavo. Together, we've spent the past years at the intersection of logistics and AI.\n\n·   **Felix** worked with logistics and supply chain companies at McKinsey and later built a robotics logistics company in Germany, spending five years deeply embedded in the industry.\n\n·   **Niclas** studied Computer Science at the Technical University of Munich and the University of Waterloo, focusing on AI security and applied machine learning\n\n**Our ask:**\n\nIf you work in logistics or know someone running operations in road transportation, we would love to connect.\n\nYou can reach us at felix.loesch@lunavo.ai or visit [www.lunavo.ai](http://www.lunavo.ai).", "url": "https://www.ycombinator.com/launches/Olx-lunavo-the-ai-assistant-for-trucking-carrier-operations", "votes": 23, "created_at": "2025-11-05T22:21:16.901Z" } ] }, { "id": 30867, "name": "Soren", "slug": "soren", "former_names": [ "Remediate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "website": "https://soren-ai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Soren is an AI-native engineering firm that helps traditional businesses put AI to work.\r\n\r\nWe combine world-class engineering talent with AI-powered delivery to modernize legacy systems, build intelligent software, and solve complex business problems.\r\n\r\nBy pairing human expertise and judgment with the speed and efficiency of AI, we deliver better technology, faster and at a fraction of the cost of traditional engineering firms.\r\n", "one_liner": "The AI Transformation Company", "team_size": null, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759390917, "tags": [ "B2B", "Enterprise Software", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/soren", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/soren.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/soren-ai-inc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/490097dc2bb667a63917b9fa0c6e2003442ad353.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7a8ee7032fd4e06f7a8ed24f446cfdcbaa346720.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2568519, "full_name": "Kevin Xie", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Soren. Studied AI + Math at MIT. Former researcher at MIT, Harvard, and Johns Hopkins across neural reasoning, AI reliability, and MRI. Published in Nature BME. Worked at a handful of venture-backed startups before founding Soren. Former top-150 U.S. tennis player.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevinxie06", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/293a798edc2b39344d42789f01f9b968f3c661ff.jpg" } ], "jobs": [ { "id": 102000, "title": "Growth Intern", "url": "https://www.ycombinator.com/companies/soren/jobs/Q1niW87-growth-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$6K - $11K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 116306, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/soren/jobs/Hc2oUbv-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $250K", "equity_range": "0.50% - 4.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30868, "name": "Norra", "slug": "norra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e02b3e396920957fb568e6c31817205cde3dbd2a.png", "website": "https://www.norra.io", "all_locations": "New York City, NY, USA", "long_description": "Norra tackles the operational chaos inside skilled nursing facilities, starting with equipment. 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Before that, AR interfaces for astronauts on the Artemis Moon missions and ML for brain-computer interfaces at Rice.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamin--rubin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44e96d875713542c707f98894ac42cd84fbc9910.jpg" }, { "user_id": 2951870, "full_name": "Yining Zhang", "title": "Founder/CTO", "founder_bio": "Norra", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yining-z/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d8d0d4daf95c89c4c64c5f209f3a6b35dbc1923c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95331, "title": "Norra: The AI Equipment Operations Platform for Nursing Facilites", "tagline": "Turning operational chaos into actionable intelligence", "body": "Hey everyone! This is [Ben](https://www.linkedin.com/in/benjamin--rubin/) and [Yining](https://www.linkedin.com/in/yining-z/) from [Norra](https://www.linkedin.com/company/norra-io/), the AI equipment operations platform for nursing facilities.\n\nTL;DR: Norra uses AI and real-time tracking to give nursing facilities operational intelligence they've never had.\n\n🚨**The problem:**\n\nNursing facilities are facing an existential crisis. With the aging population, demand is surging but they can't keep up. Medicare cuts coupled with inefficient operations mean that over 50% of facilities lose money and are struggling to keep their doors open, all while facing a massive impending staff shortage.\n\nFacilities run blindly with zero operational intelligence. They’re scrambling to manage equipment lifecycles, discovering things are broken too late (leading to failed audits), and over-purchasing because they don’t know what they have. This operational chaos costs each facility over $100K and 1,000 hours of staff time per year, time that could be spent caring for patients.\n\n💡**The solution:**\n\n\n\nWith custom hardwares, Norra creates a digital twin of their entire facility, giving staff complete visibility into everything happening on the ground. With all of this data, we are able to use AI to transform the operational chaos into proactive decision making. Instead of reacting to equipment going into disrepair or overpurchasing equipment due to lack of visibility, staff now get actionable insights to prevent waste before it happens.\n\nWhat it actually means: Preventative maintenance reminders and tracking, Intelligent and automated purchasing workflows, Insights to improve utilization and cut costs\n\n**⚡Impact:** \\\n\\\nWe've cut our first facilities' rental spend by 70% and projected to save them $100K+ this year.\n\n**👥 About Us:**\n\nBen and Yining met two years ago at NASA building astronaut operation software. They are two roommates turned cofounders passionate about using AI to make a real impact in healthcare. \n\nBen has spent 1000+ hours in hospitals and nursing facilities seeing first hand how broken their operations are.\\\n\\\nYining built applied AI solutions at MD Anderson Cancer Center, experiencing its potential to revolutionize healthcare.\n\n**🤝 Our Ask:**\n\nWe’re looking to connect with healthcare executives interested in modernizing their operations. If you know any, please reach out to [ben@norra.io](mailto:ben@norra.io).\n\n![uploaded image](/media/?type=post&id=95331&key=user_uploads/2732719/6b76a604-4597-47c7-bb1b-2dc3c6c1ee31)\n\n", "url": "https://www.ycombinator.com/launches/Onb-norra-the-ai-equipment-operations-platform-for-nursing-facilites", "votes": 37, "created_at": "2025-11-08T21:49:04.058Z" } ] }, { "id": 30869, "name": "Kaigo Health", "slug": "kaigo-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/59741bf929b644ae6eee61f3e03439f598f3ceeb.png", "website": "https://www.kaigohealth.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kaigo Health provides an AI-powered outpatient care management platform that automates and scales remote care management for Medicare patients including post-discharge followups, ongoing check-ins, and monitoring. 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Each of us watched someone we love slip through the cracks of today’s healthcare system. Peter’s grandfather suffered three preventable ER readmissions before passing—his ruptured aorta went undetected after missed medications and a complete absence of follow-up care. Lukas’s grandmother, who raised him, deteriorated in assisted living—isolated, depressed, and unrecognizable before passing unexpectedly just days before he arrived. Kazuki’s grandfather battled cancer alone in Japan, cut off from family by COVID-era hospital restrictions—reminding us that healing requires more than medicine.\r\n\r\nWhat we experienced is not rare. It’s the reality for tens of millions of older adults. In ERs, nursing homes, and senior communities where we’ve volunteered, we saw the same patterns: chronic conditions unmanaged, dangerous falls ignored, weeks without human connection, and emergencies that could have been prevented. Aging has become a quiet crisis—fueled by staff shortages, fragmented systems, lack of technology access, and stigma about growing old. \r\n\r\nWe’ve invested 600+ hours on the ground working with older adults to deeply understand their’ needs, motivations, and barriers. Our team brings full-stack software, AI/ML, and hardware expertise from Neuralink, Stanford, and NVIDIA, along with operating experience leading major organizations like Zero2One (largest startup group at UIUC), Stanford Founders (1,500+ members), and Covalence (2,000 volunteers across seven universities)—this gives us the tools needed to lead transformation in this space. \r\n\r\nWe’re here because we believe older adults deserve independence, dignity, and a healthcare system that truly cares—and we’re building Kaigo Health to make that the new standard." }, { "question": "What is your long-term vision? 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", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/peterchien111", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eedc9f3b80fcef1c786f8767f2d1db38921b067.jpg" }, { "user_id": 2260417, "full_name": "Lukas Klaiber", "title": "Founder/COO", "founder_bio": "COO of Kaigo Health, and preventive health advocate - biohacked himself into benching 360+ lbs. Co-Founder of Stanford Founders and Full-stack engineer with stints at SAP and ServiceNow, who built products ranging from AI-powered IoT systems to platforms processing $20M+ GMV. He designed tech-enabled radiology practices at Accenture, worked on Neuromorphic computing with Fortiss, and with SAP's CTO on redesigning their tech strategy. Researched at Stanford CDR, and holds an MSc in CS from TUM.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukas-klaiber-0458121ba/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06e5b4cf09d9ece0beada7e9893d663ffff0f38b.jpg" }, { "user_id": 549368, "full_name": "Kazuki Shin", "title": "Founder/CTO", "founder_bio": "Robotics and AI engineer turned founder. Led NVIDIA’s perception and simulation efforts for autonomous driving, built ML systems at BMW, Amazon, and PlayStation, and ran race ops for MIT Driverless’s autonomous Formula team. Earned his M.S. in ECE at UIUC, where he developed humanoid robots for home care and published 12 IEEE papers on human-robot interaction. Also a fashion runway photographer featured in ELLE (NYFW SS25).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazuki-shin/", "x_url": "https://x.com/shinkazuki99", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7b0e976f047f6daa25187c35e71ab057e31aab95.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95326, "title": "Kaigo Health - The AI Care Workforce That Looks After Grandma & Grandpa", "tagline": "Keeping patients healthy at home by automating follow-ups, check-ins, and monitoring that catch problems early.", "body": "**TLDR;** We help healthcare providers care for patients at home by automating follow-ups, check-ins, and monitoring - closing care gaps and catching issues before they become emergencies.\\\n\\\nhttps://youtu.be/c2BLsZJtZSg\n\n**The Problem**\n\nAfter every visit, patient care falls apart between systems.\n\nFollow-ups, care plan adherence, and patient monitoring are manual, time consuming, and insufficient - leaving patients unsupported, nurses overloaded, and health systems losing billions to readmissions and other penalties.\n\n**Our Solution**\n\nKaigo Health builds an **AI outpatient care workforce** - autonomous agents that continuously follow-up, monitor, and advocate for patients, then report back to their human care teams with actionable insights. All of this is delivered through simple, accessible phone calls with a voice agent specifically designed for older adults.\n\nKaigo **helps providers scale outpatient care management 100× without scaling headcount**, driving fewer readmissions, higher quality scores, and stronger value-based performance.\n\n**Vision**\n\nKaigo aims to build a new infrastructure for healthcare beyond the 4 walls of the clinic - a layer of autonomous, scalable health monitoring, coordination, and delivery that seamlessly fills in the gaps between our current fragmented system, transforming healthcare into a continuous, ambient part of everyday life.\n\nWe’re starting with providers: giving them powerful technology to dramatically expand their outpatient care capacity, thrive under value-based care, and ensure every patient has a proactive, friendly voice looking out for their health between visits.\n\n**Our Story**\n\nWe started Kaigo after seeing how fragile recovery becomes once patients leave the hospital. Our families wanted to stay healthy, yet support faded the moment they got home. We’re building Kaigo so care continues where life happens.\n\n![uploaded image](/media/?type=post&id=95326&key=user_uploads/549368/10d07369-f920-467c-af8c-ffdf828ef817)\n\n\\\n**The Team**\n\n**Peter** **Chien, CEO**\n\n* Led neurosurgical robotics sensors, algorithms, and mechanisms at Neuralink\n* Founded Zero2One, UIUC’s primary startup incubator launching 50+ ventures\n* 600+ hours field work across hospitals and senior communities\n\n**Lukas Klaiber, COO**\n\n* Software engineer from Stanford and TUM; built and scaled software at ServiceNow and SAP\n* Founded Stanford Founders; largest graduate entrepreneurship group at Stanford with 1,500+ members\n* Lifelong advocate of preventative health; broke the German bench press national record through biohacking\n\n**Kazuki Shin, CTO**\n\n* Designed large-scale perception and simulation systems for autonomous robots at NVIDIA, MIT, BMW, Amazon, and Sony PlayStation\n* Developed humanoid robots for homecare, authoring 12 peer-reviewed papers at top IEEE robotics conferences\n* Fashion runway photographer featured in ELLE Magazine for NYFW SS25, capturing collections from leading designers and fashion houses\n\n**Our Ask**\n\nWe’d love warm intros to:\n\n* Healthcare providers\n* Angel investors\n\n🔗[ ](http://www.lunabill.com/)https://kaigohealth.ai \n\n📩 [founders@kaigohealth.ai](mailto:founders@kaigohealth.ai)\n\nThanks for the support!\n\n![uploaded image](/media/?type=post&id=95326&key=user_uploads/89898/9814261f-88f6-4c5c-90cc-015141e131b4)\n\n", "url": "https://www.ycombinator.com/launches/OnW-kaigo-health-the-ai-care-workforce-that-looks-after-grandma-grandpa", "votes": 26, "created_at": "2025-11-09T06:54:28.070Z" } ] }, { "id": 30870, "name": "Koyal", "slug": "koyal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d6be5eec5520358437374d48ae33d4a26eadd56.png", "website": "https://koyal.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Koyal is an Agentic AI Filmmaking Platform that allows you to seamlessly convert script or audio into personalized, visually compelling stories. We’re a team from Carnegie Mellon, MIT and Meta, with experience in AI video generation.\r\n\r\nhttps://koyal.ai builds directly upon our published research at the AI conference NeurIPS in December. We’ve been covered in the international press for our patented secure personalization protocol CHARCHA: the genAI captcha.\r\n\r\nAnnouncement: https://x.com/meh_agarwal/status/1965866965425348687\r\nDemo: https://x.com/meh_agarwal/status/1965137062119752099\r\n\r\n\r\nWe currently have paid pilots with the biggest global music labels, podcasts and production houses, and just launched our public beta at beta.koyal.ai\r\n\r\nWe recently concluded a pilot with Universal Music and T-Series (world’s largest music label) alongside Bollywood production houses like Maddock Entertainment, and Collective Artists Network! As part of that, we launched 5 music videos for Grammy and Oscar winning artists like A R Rahman, Ricky Kej and Shankar Mahadevan all crossing 1.5 million views!\r\n\r\nWe've recently built SOTA capabilities in (i) multilingual script to audio to video, (ii) Agentic lip-sync with dynamic movement & (iii) Multi-character consistency.", "one_liner": "Agentic AI Filmmaking Platform", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1759263547, "tags": [ "Generative AI", "Entertainment", "Video", "Media", "Creator Economy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Content" ], "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/koyal", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/koyal.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/koyal-ai/", "x_url": "https://x.com/KoyalAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d6be5eec5520358437374d48ae33d4a26eadd56.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": 1057149, "full_name": "Mehul Agarwal", "title": "Founder/CEO", "founder_bio": "CEO, Koyal, Agentic AI Filmmaking\nCMU CS & ML / part-time Standup comedian \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mehul-agarwal-a274a0287/", "x_url": "https://x.com/meh_agarwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9bb654b37951dd53ebadfe160fd6ed4af5cc280e.jpg" }, { "user_id": 2383496, "full_name": "Gauri Agarwal", "title": "Founder/CTO", "founder_bio": "CTO, Koyal AI, Audio to Video GenAI \nMIT Media Lab '25 | Meta Instagram Video | CMU SCS '20", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gauri-agarwal", "x_url": "https://x.com/gauriagarwal99", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/63da06468651d4cd0b94dfecca3d207565f4682d.jpg" } ], "jobs": [ { "id": 102118, "title": "Founding Engineer @Koyal", "url": "https://www.ycombinator.com/companies/koyal/jobs/N7tedzJ-founding-engineer-koyal", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 94569, "title": "Koyal: The Agentic AI Filmmaking Platform", "tagline": "Turn your script or audio to short films, music videos & launches", "body": "https://youtu.be/j5t8kEuZpSc?si=q_Jcbcnanrjl4h-N\n\nTL;DR\n\nCreate cinema that feels real. Koyal captures emotional tone from your audio, turning emotion into cinematic scenes with consistent characters and settings. You can storyboard, direct, and edit every scene to perfection.\n\n# **The Problem**\n\nFilmmakers, musicians, and creators spend **weeks to months scripting, shooting, and editing** or pay **$100,000+** to agencies to get something that feels right.\\\n\\\nEven with new AI tools, you’re still wrestling with prompting, uncanny performances, and inconsistent characters.\n\n# **The Solution**\n\nKoyal lets you speak your story once, and watch it come to life.\\\nWe capture the **emotional tone** in your voice or script and translate it into expressive, cinematic performances with consistent characters, settings and storylines.\n\nYou can **storyboard, reshoot, and refine** each scene naturally, like directing your own crew: no complex prompts, no model wrangling, no editors needed.\\\n\\\nJust your voice, your script, and your vision.\n\n# **How Koyal Works**\n\n[Demo Video](https://youtu.be/6Slhq8fbQ1c?si=9OaAU2xVKzhEbre8)\n\n* **Upload your script or record your voiceover**: Koyal understands the emotion, pacing, and intent behind every line.\n* **Design your characters**: Create an AI character or safely place yourself in the film using **CHARCHA: our Character Captcha protocol** that ensures your likeness is used **with verified consent.**\n\n ![uploaded image](/media/?type=post&id=94569&key=user_uploads/2383496/0f411243-c4be-4b15-af57-b5ae3f957e2d)\n\n* **Craft your world:** Create or find real-life locations to shoot your movie in, add assets and choose art styles (animated, realistic, etc.)\n* **Auto-generate cinematic scenes**: complete with consistent characters, environments, and shot logic.\n* **Storyboard and edit visually**: adjust lighting, camera angle, or emotion directly with simple directions like “make it more hopeful” or “change the setting to night.”\n* **Export your finished film**: ready to share across YouTube, socials, or investor decks.\n\n# **In Action**\n\nWe’ve battle-tested Koyal across **music, media, and startups**.\n\n* Worked with **Universal Music**, **T-Series**, and major Bollywood studios.\n* Created videos for **Grammy and Oscar-winning artists** like [A.R. Rahman](https://www.youtube.com/watch?v=BeaAHxFl-6A), [Ricky Kej](https://www.youtube.com/watch?v=xT7NTK_Y_TY), and [Shankar Mahadevan](https://www.youtube.com/watch?v=ZSkpEaud9-o), each crossing **1.5M+ views**.\n* Partnered with **22 YC companies** to create their [launch videos](https://www.linkedin.com/posts/y-combinator_brickanta-isthe-construction-estimator-and-activity-7378775629376364544-A2vW?utm_source=share&utm_medium=member_desktop&rcm=ACoAABZ8s4EB2S4yNxvn-aoVAyfMlfkG_me_3f8) in days, not weeks.\n\n**Who We Are**\n\nWe’re **Mehul and Gauri Agarwal**, a brother-sister team obsessed with reimagining how stories are told. \\\n\\\nWe are a team from MIT, CMU and Meta with experience building in AI video. Koyal evolved directly from our [research published at Neurips 2024](https://arxiv.org/abs/2502.02610).\n\n# **The Future of Filmmaking**\n\nKoyal is inspired by how **Pixar builds stories** : audio first, visuals second.\\\nWe aim to replace the camera with intelligent AI systems that understand how to **translate human intent into cinematic storytelling**.\n\nYou no longer need cameras, expensive sets and set pieces, or prompts: just your voice and imagination.\n\nTry it now at[ ](https://koyal.ai)[koyal.ai](https://koyal.ai/)\n\nWe can’t wait to see what _you_ create.\\\nMehul & Gauri \n\n\\- kookoo\n\n![uploaded image](/media/?type=post&id=94569&key=user_uploads/2383496/5dba594a-7e70-48a9-b4de-f9c967f5701c)\n\n", "url": "https://www.ycombinator.com/launches/ObJ-koyal-the-agentic-ai-filmmaking-platform", "votes": 125, "created_at": "2025-10-10T19:53:21.591Z" } ] }, { "id": 30871, "name": "Bron", "slug": "bron", "former_names": [ "PlayVision AI", "PlayVision", "PlayVision AI", "PlayVision" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/322e036fa9ab0e06f47840b20ad078b02e03e79b.png", "website": "https://apps.apple.com/app/apple-store/id6761323087?pt=128695024&ct=anish&mt=", "all_locations": "San Francisco, CA, USA", "long_description": "Bron is the Tiktok for sports betting. Scroll through recommended bets across 150+ sportsbooks and prediction markets and place them automatically.\r\n\r\nDownload Bron on the App Store here: https://apps.apple.com/us/app/bron-ai-sports-analysis/id6761323087", "one_liner": "TikTok for Sports Betting", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1761579619, "tags": [ "Sports Tech", "Analytics", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/bron", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bron.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bron-app", "x_url": "https://x.com/bron_app", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/322e036fa9ab0e06f47840b20ad078b02e03e79b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a11a5da9c10e799c1c50bd4ffddac8db9c705d06.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2540850, "full_name": "Anish Gupta", "title": "Founder/CEO", "founder_bio": "CEO @ Bron | Tiktok for Sports Betting", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anishjaygupta/", "x_url": "https://x.com/_anishgupta_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3be8e923a89557fe2da3326fdff779330b3571e8.jpg" }, { "user_id": 2551433, "full_name": "Marc Zoghby", "title": "Founder/CTO", "founder_bio": "Co-founder @ Bron\n\nPreviously: EECS @ UC Berkeley and AI Researcher @ Mayo Clinic.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marc-zoghby/", "x_url": "https://x.com/marczog?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edfe50d5df2087eed445bc2699ec7fd57c1c23eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94935, "title": "PlayVision - AI Moneyball for Sports", "tagline": "Automatically analyze your film and make AI your playbook for scouting, recruiting, and playing the game", "body": "Hello everyone! We’re [Anish](https://x.com/_anishgupta_) and [Marc](https://x.com/marczog), the Co-Founders of PlayVision!\\\n\\\n**TL;DR:** PlayVision lets basketball teams automatically analyze their practices and games to get advanced stats on their players, opponents, and college or high school recruits. We use AI and computer vision to get insights based on their tracking data.\n\nhttps://youtu.be/MZynlUcUdeU\n\n\\\n**The Problem**:\n\n❌ Coaches spend over **75%** of their week watching film and manually tagging different stats.\n\n❌ College Teams spend **$250K+** on services like HUDL, Synergy, HDI, and other different products just to watch film and scout players.\n\n❌ There are up to **25x** more coaches between teams across Division 1 basketball — most programs lack the man-power to watch the same amount of film and create a comprehensive game-plan.\n\n❌ College athletes are now able to get paid via their Name, Image, and Likeness (NIL). Teams are scrambling trying to figure out how much players are worth.\\\n\\\n**Our Solution**:\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/425a0c3f-1d4d-4e7d-a46e-241f9655aa11)\n\nAn interactive platform that lets coaches upload their film and get the insights they want. We track every player, every movement, every decision made on the court. \n\nWith our database, we also feature:\n\n🏀 Our algorithms that rank every player in the country over the last **10** years.\n\n🏀 Custom indexes where teams leverage over **40** metrics to create their own stats to rank players.\n\n🏀 Automated scouting reports that give coaches **10x** the insights on their players and opponents in **10%** of the time.\\\n\\\n**Our Story:**\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/4ec6f501-bfc9-4758-81e5-910ce716dcc0)\n\n\\\nI, Anish, was a massive sports fan growing up. I couldn’t play college athletics due to an eye surgery, so I joined Cal Athletics as a scout. I saw first-hand how tedious the manual film analysis was, having to stay late in the office with coaches trying to finish the games we set out to do.\n\nThe timing couldn't have been better. Marc, fresh from two years of AI and computer vision research at the Mayo Clinic, happened to be in my AI in SportsTech class at Berkeley. I pitched him my problem, and within minutes, we were deep in discussion about how AI and computer vision could crack it.\n\nLeveraging my connections in the college space, we started getting validation from coaches, expressing the same pain points I had. We’ve partnered with teams from the SEC, BIG 10, and BIG EAST conferences, and you could be next!\n\n**Our Ask**:\n\n👉 Our product is now live for the 2025-2026 basketball season. If you know anyone that works for a college, NBA, or international basketball team that would be interested, please reach out via email: [team@withplayvision.ai](mailto:team@withplayvision.ai)!\n\n👉 If you’re interested in getting data on your favorite players, sign up for our player portal on our website: https://withplayvision.ai/ \\\n\\\nReach us:\n\n* https://www.linkedin.com/in/anishjaygupta/\n* https://www.linkedin.com/in/marc-zoghby/", "url": "https://www.ycombinator.com/launches/OhD-playvision-ai-moneyball-for-sports", "votes": 76, "created_at": "2025-10-27T17:48:50.331Z" } ] }, { "id": 30873, "name": "Tell if AI", "slug": "tell-if-ai", "former_names": [ "Pando Technologies", "Tellif", "Tellif AI", "Tell if AI", "Land.dev" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da77fda94e244c20522deac6fb0556be091b2804.png", "website": "https://tellif.ai", "all_locations": "Austin, TX, USA", "long_description": "An AI-run performance marketing agency. We deploy autonomous agents on a fleet of real mobile phones that create, post, and grow content across YouTube, TikTok, Instagram, X, Reddit and more operating hundreds of accounts in parallel, indistinguishable from human creators. Brands hire us the way they'd hire a growth agency, but instead of a team of marketers we run the entire pipeline autonomously: ideation, video production, posting, engagement, and audience building. We get paid on revenue share, so our incentives are aligned with our partners' growth. Our first partnership is revenue sharing with a telehealth clinic, where we're driving patient acquisition across dozens of channels we built and operate end-to-end.", "one_liner": "AI agents on real phones, growing brands across every platform.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1760060442, "tags": [ "Telehealth", "Social Media", "Marketing", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/tell-if-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/tell-if-ai.json", "year_founded": 2025, "city": "Austin", "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/da77fda94e244c20522deac6fb0556be091b2804.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2944652, "full_name": "Austin Stone", "title": "Founder/CEO", "founder_bio": "Founder and CEO\n\nPrior to YC, Austin was a researcher at Google Brain and Google DeepMind where he authored over 20 papers in top AI conferences like CVPR and ICML.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/austin-charles-stone-1ba33b138/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/819d68ea4a97e6942a0c3df259590c9d7d2ded60.jpg" }, { "user_id": 2501521, "full_name": "Ilariia Belova", "title": "Founder/CTO", "founder_bio": "Founder and CTO of Tellif AI\n\nPrior to Tellif AI, I was a staff engineer at Yandex with over a decade of experience growing from an individual contributor to eventually leading a technical team of 12 people in the ML ads department. Prior to Yandex, I earned a degree in applied mathematics from NTUU KPI in Ukraine.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jhilary", "x_url": "https://x.com/ilariia_belova", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f9a8ae5a56444fdfd556714a94c4fddf177d6bc.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30874, "name": "Minro", "slug": "minro", "former_names": [ "Iris" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f77542ef92b9a995fd50ddb381187d909ec7f5fd.png", "website": "https://minro.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Minro helps companies stay close to their users as they scale.\r\n\r\nToday, most startups have thousands of product events flowing through tools like PostHog, but still have no real understanding of who their users actually are, which users are quietly about to churn, or what outreach actually brings them back. Founders care deeply about their users, but staying close to them becomes operationally impossible very quickly.\r\n\r\nMinro plugs directly into a company’s analytics stack and turns product activity into living customer intelligence. We enrich every user with context like their company, role, LinkedIn/GitHub/Twitter, background, and likely use case, currently matching users to the correct online identity with ~80% accuracy starting from just name + email.\r\n\r\nWe then identify which users are most likely to churn based on behavioral patterns, persona similarity, and historical retention signals, and help founders proactively reach out before those users disappear. Minro drafts highly contextual founder-style outreach, tracks which conversations actually convert into retention, and continuously improves the system over time.\r\n\r\nThe result is a customer intelligence and retention layer that helps companies understand their users better, build stronger relationships, and reduce churn before it happens.", "one_liner": "Identify churn risk and stay close to users at scale", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1762405247, "tags": [ "B2B", "Customer Success" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We’re cousins who’ve been building things together since we were kids. Samika had already founded a company before Iris building scalable enterprise agents. Siddhant has been coding since he was 11 years old and loves building complex systems in the form of consumer applications (12 apps in production, 2500+ active users)\r\n\r\nIris started as something we built for ourselves. We were constantly overwhelmed by scattered calendars, inboxes, and tasks and every “assistant” tool felt either too rigid or too dumb. So we decided to build one that actually understood us, combining the reliability of deterministic systems with the intuition of LLMs." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started Iris as a side project to fix our own scheduling chaos with a good user experience. The first prototype synced our calendars and emails, and within hours it was already making our days smoother. That’s when we realized how big this could be.\r\n\r\nA major inflection point was meeting Adam Cheyer, the founder of Siri. His advice reframed how we thought about the problem - it wasn’t just a UX challenge, it was an engineering problem. We then brought on one of Siri’s founding engineers as a technical advisor, which shaped our architecture around deterministic logic combined with adaptive LLM reasoning.\r\n\r\nThat shift (from “AI wrapper” to hybrid intelligent system) became the foundation of Iris. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "The core problem is cognitive overload because people are drowning in context switching between calendars, emails, and apps just to stay organized. Productivity tools today still expect you to manage them. They don’t understand how you work and make you configure rules and routines that fall apart when real life changes.\r\n\r\nWe felt that pain deeply ourselves. Both of us are neurodivergent so motivation wasn’t the issue, context was. We didn’t need another to-do list but we needed something that understood our rhythm and made intelligent decisions for us.\r\n\r\nIris exists to eliminate that friction. It learns how you work, automates the repetitive decisions, and keeps you focused on what actually matters. This problem is universal, everyone struggles to stay on top of their time. Solving it unlocks human attention at scale." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "In the future, everyone will have their own Iris: an assistant that actually knows them - how they work, who they meet, where they go and helps them stay a step ahead. When two people both use Iris, their assistants can coordinate directly, handle logistics, and clear out the noise before it reaches them.\r\n\r\nAt scale, this becomes the foundation for how individuals and teams organize time - from one person’s calendar to entire companies. Iris is how people will work when AI truly understands context." } ], "url": "https://www.ycombinator.com/companies/minro", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/minro.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/minroo", "x_url": "https://x.com/minro_co", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f77542ef92b9a995fd50ddb381187d909ec7f5fd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cb7230a03ff59acb3430cea7a35354869b750e71.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eb51407d376924fe19162e83c4e7010d165b24d7.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2525740, "full_name": "Samika Sanghvi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Minro YC F25", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samika-sanghvi", "x_url": "https://x.com/sampear_12?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e6b84d2394f1b0c8117fcd4ec67c8fcde2e8d61.jpg" }, { "user_id": 2979646, "full_name": "Siddhant Lad", "title": "Founder/CTO", "founder_bio": "Co-founder @ Minro", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sidlad/", "x_url": "https://x.com/sidnlad", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0255f5441db344b5126a65820f9f8d42ce047dc4.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30875, "name": "Veria Labs", "slug": "veria-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a840ecd92ea1ebab3e7fa406ce9389683fe9208.png", "website": "https://verialabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Veria Labs is developing AI agents that hack better than the best human hackers. Founded by members of the #1 US competitive hacking team, we've already found critical bugs in AI tools, operating systems, fintech and billion dollar crypto exchanges. \r\n\r\nNow we're scaling that expertise through AI-native security tooling that operates faster than human researchers while finding deeper, more complex vulnerabilities that traditional tools miss.", "one_liner": "Continuous AI pentesting that finds and fixes vulnerabilities", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1758644249, "tags": [ "Security", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/veria-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/veria-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/verialabs/", "x_url": "https://twitter.com/verialabs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/verialabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a840ecd92ea1ebab3e7fa406ce9389683fe9208.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2964558, "full_name": "Cayden Liao", "title": "Founder", "founder_bio": "I've previously done work in the Web3 security space writing fuzzers for crypto and zero knowledge protocols. NCAA varsity swimmer and part of the #1 CTF (competitive hacking) team in the US. Prevented the largest hack in crypto history $94B.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cayden-liao-6b018a272/", "x_url": "https://x.com/Cayden_Liao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0738bc3df42b0c5f6d82f610337031d0e8e310b.jpg" }, { "user_id": 948094, "full_name": "Jayden Sarveshkumar", "title": "Founder", "founder_bio": "working on the future of security @ Veria Labs. web hacking @ .;,;. (#1 US competitive hacking team). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jayden-s/", "x_url": "https://x.com/0jayden_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f58ac057077848126e2af32cae2e0ade1d46e13c.jpg" }, { "user_id": 2411026, "full_name": "Stephen Xu", "title": "Founder", "founder_bio": "CEO & Co-Founder @ Veria Labs\n\nPreviously doing Offensive Security @ TikTok, and play on the #1 CTF (competitive hacking) team in the US. Also used to do computational physics research at some point.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stuxf", "x_url": "https://x.com/stuxfdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0250381cdafcf8e7303136fa3900d8298e020161.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94260, "title": "Veria Labs: AI agents that pentest your code continuously", "tagline": "Automated penetration testing for modern development teams", "body": "👋Hi all, we’re Stephen, Cayden and Jayden from [Veria Labs](https://verialabs.com)!\n\n## TL;DR\n\n* Most companies pentest only 1-2x per year, but high-performing teams deploy multiple times per day \n* We're building AI agents that continuously find vulnerabilities in your application\n* **Our ask:** If you're at a fintech, healthcare, or crypto company that wants to be secure while moving fast, let’s talk: \n\n---\n\n## The Problem\n\nYou ship code constantly. You test for security once a year, if at all.\n\nThis isn't a startup problem. It's structural. PCI DSS mandates annual pentests. HIPAA requires regular security assessments. Crypto projects get audited before launch. But after that initial test, your codebase evolves, you add features, you refactor, and there's no continuous security validation.\n\nTraditional pentesting is **fundamentally broken** for modern development:\n\n**It's too slow.** Results take weeks to deliver. By the time you get the report, your codebase has changed 50+ times.\n\n**It's too expensive.** $15,000-$30,000+ per engagement. You can't afford to test continuously at these prices, but you also can't afford _not_ to be secure.\n\n**It has terrible coverage.** Pentesters scope to 5-10 application features because that's all they can audit in two weeks. The rest of your codebase gets ignored. Your background jobs, admin panels, internal APIs are all potential attack vectors that never get looked at.\n\n**It's too shallow.** Even within their limited scope, human pentesters are constrained by time. They get 5-10 days, bill $250-300/hour, and move on to the next client. They find the obvious vulnerabilities: SQL injection, XSS, broken auth. But complex, multi-step exploits that require deep exploration of your business logic get missed because there's simply not enough time.\n\nMeanwhile, 1 in 5 companies don't test their software for security vulnerabilities at all.\n\n## Our Solution\n\nWe're building AI agents that run continuously on your codebase and send you actionable results every Monday morning.\n\n**Why we're different from traditional pentesting:**\n\nOur agents aren't constrained by human hours or budgets. We can test exhaustively: every code path, every edge case, every possible attack chain. We're not just faster and cheaper. We find more bugs.\n\n**Why we're different from SAST tools (Semgrep, Snyk):**\n\nStatic analysis tools flag potential issues but can't exploit them. Our LLM-based agents:\n\n* Actually exploit vulnerabilities to prove they're real (no false positives)\n* Understand and adapts to your business logic and data flows\n* Learn your codebase architecture and conventions, which means dramatically fewer false positives\n* Chain together low-severity findings into high-impact exploits\n\n## About Us\n\nWe're members of the [#1 competitive hacking (CTF) team](https://ctf.gg/contests) in the United States.\n\nBetween us, we've found critical vulnerabilities in AI tools, operating systems, fintech apps, and billion-dollar crypto exchanges. The future of security testing is automated, and we're building it.\n\n## What We’re Looking For\n\nIf you:\n\n* Deploy code daily but test for security sporadically (or never)\n* Are spending $30K+ per year on pentests that are outdated within weeks\n* Need continuous security without hiring an entire red team\n* Want to find complex vulnerabilities before attackers do\n\nLet's talk: \n\nWe're especially interested in working with **fintech, healthcare, and crypto companies** (where the stakes are highest), but if you're facing similar challenges in other industries, we'd love to hear from you too.\n\n![uploaded image](/media/?type=post&id=94260&key=user_uploads/2411026/8021be6a-59f2-4d9c-9c43-ec32d957299e)\n\n", "url": "https://www.ycombinator.com/launches/OWK-veria-labs-ai-agents-that-pentest-your-code-continuously", "votes": 16, "created_at": "2025-10-01T13:55:13.126Z" } ] }, { "id": 30877, "name": "Trelium", "slug": "trelium", "former_names": [ "Questom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "website": "https://www.trelium.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Trelium lets enterprise teams build AI agents in simple English to automate back-office work. We serve companies handling custom and bulk operations, including distributors, suppliers, and decorators across the print, merch, and apparel industries, automating workflows like order entry, purchase order creation, PO-invoice matching, order-status follow-ups, and many more.", "one_liner": "AI Agents for Enterprise Wide Operations", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759277752, "tags": [ "B2B", "Workflow Automation", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trelium", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/trelium.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/questom-inc/", "x_url": "https://x.com/trelium_ai", "fb_url": "https://www.facebook.com/profile.php?id=61590313357941", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4cf7ff003fba8201e539d2872cb8344bd10cf9b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a5b8c4c92ec5a87175cd6dced6e402985f021a43.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2543329, "full_name": "Abhimanyu Yadav", "title": "Founder/CEO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abhiy1", "x_url": "https://x.com/not_by_default", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9232e2d5c6321dbf8bed4ac3dccb6b9d53c9c407.jpg" }, { "user_id": 1608276, "full_name": "Ritanshu Dokania", "title": "Founder/CTO", "founder_bio": "Trelium lets teams describe workflows in English and deploys agents to run them. Any app, any logic, any automation, built in under 7 minutes, runs forever.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ritanshudokania", "x_url": "https://x.com/ritanshu675", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84e04c2e1c5fdbc85669452950487e97b6aa1063.jpg" } ], "jobs": [ { "id": 89120, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/trelium/jobs/UBebsyO-founding-engineer", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$25K - $35K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js" ] } ], "news": [], "launches": [ { "id": 121520, "title": "Paul by Trelium", "tagline": "An AI automation scout that finds repetitive work and shows your team what to automate.", "body": "Meet Paul, an agent built on Trelium to be our Lazy Champion and automation scout 🐧 His job is simple: figure out where your team could be doing less. \n\nOver the last year, we rebranded Questom to Trelium and evolved from building AI agents for B2B inbound sales into a platform where non-technical enterprise teams can build deterministic AI agents in simple English to automate back-office work across the tools they already use. Since then, we have been creating value for distributors, suppliers, and decorators across print, merch, and apparel by helping them automate work like order entry, purchase order creation, PO-invoice matching and a lot more.\n\nIn sales calls, we keep hearing the same thing: “We want to use AI, but we do not know what to automate.” The funny part is that figuring this out is still extremely manual. AI audits usually mean workshops, interviews, process maps, and asking people to remember all the repetitive things they do. But the work wasting the most time is often so routine that nobody even remembers to mention it.\n\nSo we thought, why not make Paul? Paul is an agent built on our own platform, and now he is available to everyone. Connect him to places like email and chat, and he watches how work actually moves across your team, spots repetitive processes, and tells you what is worth automating. He might notice someone doing the same tiny task 40 times a week because apparently copy-paste has become a job description. Instead of a giant consulting deck, Paul gives you the opportunity, the reasoning behind it, and a ready-made prompt to build that agent on Trelium.\n\nWe have been using Paul on ourselves too, and unfortunately he keeps finding things. The idea is simple: spend less time talking about “adopting AI” and more time removing work nobody wanted to do in the first place. Paul has mastered laziness. We are trying to catch up. 🐧\n\n[trelium.com/PaulThePenguin](http://trelium.com/PaulThePenguin)\n", "url": "https://www.ycombinator.com/launches/Vc0-paul-by-trelium", "votes": 3, "created_at": "2026-10-11T22:23:55.414Z" }, { "id": 95375, "title": "Questom: AI Agents for B2B Inbound Sales", "tagline": "We build AI agents that answer inbound calls, emails, and chats for B2B companies, collecting requirements, quoting orders, sending updates, and turning conversations into revenue.", "body": "Hey everyone, Ritanshu and Abhimanyu here from Questom.\n\nWe’re building **AI agents that handle the everyday conversations B2B companies rely on to sell.**\\\n\\\n[**Questom: AI Agents for Sales**](https://youtu.be/EkodDghaQ4A)\n\n## **TL;DR**\n\nMost B2B revenue still runs through **phone calls and emails**, not websites.\n\nTeams struggle to:\n\n* answer every inquiry\n* follow up consistently\n* collect details cleanly\n* apply the right catalog + pricing rules\n* generate accurate quotes\n* and keep customers updated\n\nQuestom trains **AI sales agents** that do all of this automatically, using your workflows, your rules, your language, and your systems.\n\nOur agents live directly inside the communication channels B2B teams already use:\n\n**📞 Phone • 📧 Email • 💬 Chat • 📱 SMS**\n\nThey handle inbound conversations end-to-end and hand off to humans only when needed.\n\n# **🚨 The Problem**\n\nAcross wholesalers, distributors, field-service companies, custom-order shops, foodservice, industrial supply, packaging, labels, and more — the story is the same:\n\n**Revenue depends on conversations.**\n\nEvery day teams handle:\n\n• “Can you do this?”\n\n• “How much will it cost?”\n\n• “Can I get it by Friday?”\n\n• “Where’s my order?”\n\n• “Can I change something?”\n\nBut these companies run lean.\n\nSales, operations, and customer service are often the _same people_ juggling:\n\n* quoting\n* re-quotes\n* customer updates\n* scheduling\n* inventory/lead-time questions\n* supplier coordination\n* repeat jobs\n* production constraints\n\nWhen things get busy, response times slip, inboxes pile up, and high-intent buyers quietly move on.\n\nThis creates:\n\n* Missed revenue\n* Burnt-out teams\n* Customers who don’t come back\n* An invisible tax on growth\n\nPeople think “chatbots” solve this, but bots don’t understand:\n\n* catalogs\n* pricing rules\n* discounts\n* exceptions\n* minimums\n* production timelines\n\nB2B sales is _not_ FAQ automation.\n\nIt’s conversational problem-solving.\n\n# **💡 The Solution**\n\n**Questom builds AI sales agents that run your inbound sales process.**\n\nThey learn:\n\n* your catalog\n* your pricing\n* your discounts & exceptions\n* your constraints\n* your approval flows\n* your lead times\n* your edge cases\n* your CRM/ERP logic\n\nThe agent:\n\n* answers instantly\n* asks the right questions\n* collects order requirements\n* applies your pricing logic\n* generates quotes and revisions\n* manages follow-ups\n* sends status updates\n* and pushes structured orders into your ERP/CRM\n\nWhen needed, the agent hand-offs to a human with full context, so nothing gets lost.\n\n### **Operational impact:**\n\n* Faster first responses\n* Fewer missed inquiries\n* More accurate quoting\n* More deals closed\n* Less repetitive messaging\n* Happier customers\n* Less load on your team\n\n# **⚡ Early Results**\n\nAcross our pilots with wholesalers, print companies, and multi-location brands:\n\n* Up to **50%** of inbound sales conversations fully automated\n* Meaningful **AOV lift** from smart upsells\n* Backlogs cleared within days\n* More quotes sent → more revenue captured\n* Teams finally able to focus on higher-value work\n\n# **👥 About Us**\n\n**Ritanshu** grew up in a 75-year-old wholesale business, worked at Google (Wing) and Tesla, and previously bootstrapped a SaaS product to $45K ARR.\n\n**Abhimanyu** spent 7 years in Applied ML Research at Apple working on conversational intelligence, with CS degrees from IIT Kanpur and Columbia.\n\nWe’re combining **deep B2B operational understanding** with **real applied ML** to solve one of the oldest, hardest problems in the industry:\n\n**turning everyday conversations into revenue automatically.**\n\n# **🤝 Our Ask**\n\nIf you know a B2B company that:\n\n* handles lots of inbound calls\n* quotes custom or configured orders\n* relies heavily on phone or email\n* struggles with response time\n* or is drowning in repetitive sales conversations\n\nWe’d love to talk.\n\n📩 [founders@questom.ai](mailto:founders@questom.ai)\n\n📅 [Book a meeting](https://cal.com/meetabhimanyu/investor-chat)\n\n![uploaded image](/media/?type=post&id=95375&key=user_uploads/89898/659e2fe4-f8b3-48cb-8421-7de00c3b637b)\n\n", "url": "https://www.ycombinator.com/launches/OoJ-questom-ai-agents-for-b2b-inbound-sales", "votes": 20, "created_at": "2025-11-10T19:13:01.810Z" } ] }, { "id": 30878, "name": "Cranston AI", "slug": "cranston-ai", "former_names": [ "Cranston Group" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/88689b5dae77948437304c27aefbb12261dcacb3.png", "website": "https://www.cranston.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Cranston is AI tax prep and bookkeeping for CPA firms.\r\n\r\nOur tax agents prepare returns the way a strong staff accountant would: they read the source documents, work the return in your tax software, and hand your reviewer a return that holds up, with workpapers attached. Our bookkeeping agents keep client books current all year, so tax season starts from clean numbers instead of cleanup.\r\n\r\nPrep and books are the start. We're building Cranston into the system a firm runs on: the place where prep, review, client requests, and the rest of the practice get done.", "one_liner": "AI Tax prep and accounting software for CPA firms", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759732290, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cranston-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/cranston-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cranston-ai/", "x_url": "https://x.com/cranston_ai", "fb_url": "https://www.facebook.com/CranstonAI/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/88689b5dae77948437304c27aefbb12261dcacb3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 450932, "full_name": "Max Minsker", "title": "Founder/CEO", "founder_bio": "Co-Founder of Cranston AI. Previously owned a tax practice that filed 10,000+ tax returns. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-minsker", "x_url": "https://x.com/MaxMinsker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99783d84375633bbf1e3ce1316274ee006a8c7f9.jpg" }, { "user_id": 2792378, "full_name": "Sean O'Bannon", "title": "Founder/CTO", "founder_bio": "Founder at Cranston AI (F25). Prev Stanford CS + AI, Founder + CTO at ReMatter, ex Databricks", "is_active": true, "linkedin_url": "https://linkedin.com/in/sean-obannon", "x_url": "http://x.com/seanobannon_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2135ebc38890c4a4b46f7b2b9c0d03492e4cc084.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30879, "name": "Hypercubic", "slug": "hypercubic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7c99fca8e4cc5f92f4512cf22a4fef17d90d66d.png", "website": "https://www.hypercubic.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Hypercubic is an AI-native platform for mainframe operations and modernization.\r\n\r\nWe help enterprises understand and modernize their mission-critical legacy systems. About 70% of the Fortune 500 companies still rely on them to run their core business applications in banking, insurance, telecom, airlines, retail, and more.\r\n\r\nThese systems, originally built in the 1960s–90s, still power trillions in global infrastructure today but have become increasingly opaque as original developers retire or leave the workforce. \r\n\r\nWe are pioneering a new class of intelligence capable of understanding, reasoning about, and rebuilding the world’s foundational infrastructure.\r\n\r\nLearn more at hypercubic.ai", "one_liner": "Agentic AI for Mainframe Operations and Modernization", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758931979, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hypercubic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/hypercubic.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hypercubic-ai", "x_url": "https://x.com/hypercubic_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7c99fca8e4cc5f92f4512cf22a4fef17d90d66d.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": 317991, "full_name": "Sai Gurrapu", "title": "Founder/CEO", "founder_bio": "Co-Founder/CEO @ Hypercubic | ex-Apple MLE | Z Fellow | 18x Hackathon Winner\n\n- Previously worked on multi-modal ML algorithms for the iPhone hardware at Apple, shipped work on 200M+ devices.\n- Serial hacker and builder (18x hackathon winner, Stanford TreeHacks 3x (all grand prizes), PennApps 2x, HackUVA 2x, HackMIT, HackPrinceton and more)\n- Published NLP research at IEEE and AAAI. \n- Bootstrapped a SWE interview preparation platform and scaled it to a 6 figure ARR business.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saig18", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b35131881a6516e975582243c6085930ca3cb24.jpg" }, { "user_id": 1931283, "full_name": "Aayush Naik", "title": "Founder/CTO", "founder_bio": "CTO & Co-Founder @ Hypercubic | Ex-Apple Engineer | Extraordinary Alien | Robotics & AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aayn/", "x_url": "https://x.com/aayush_naik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4e40250881c9516a6d816f175433e93f42b222b.jpg" } ], "jobs": [ { "id": 87774, "title": "Founding Software Engineer", "url": "https://www.ycombinator.com/companies/hypercubic/jobs/8uytDI0-founding-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125K - $300K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "COBOL", "Google Cloud", "Python", "React", "TypeScript" ] }, { "id": 109282, "title": "Founding Enteprise Sales", "url": "https://www.ycombinator.com/companies/hypercubic/jobs/cUrnOWp-founding-enteprise-sales", "location": "San Francisco", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $160K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101267, "title": "Hopper - Agentic Development Environment for Mainframe/COBOL", "tagline": " It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.", "body": "**TL;DR:** We’re launching **Hopper**, an agentic development environment for IBM mainframes. It combines a real TN3270 terminal and an AI agent that can operate across z/OS workflows like COBOL, VSAM, and CICS.\n\nDownload it here: \n\nVideo walkthrough: \n\nYou can also request access and immediately get a mainframe user account to try it.\n\n## **Problem**\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/43b88f08-689e-437f-9057-42a45c15eb56)\n\nMainframes still run a huge amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core enterprise operations.\n\nA lot of that software is written in COBOL and runs on IBM z/OS. These systems are reliable, secure, and deeply embedded into business operations, but the development environment looks nothing like modern software development.\n\nModern AI coding tools assume repos, files, shells, package managers, test runners, and CI pipelines.\n\nMainframe development is an entirely different computing paradigm.\n\nA simple COBOL change might require finding the right source member, checking copybooks, locating compile JCL, submitting a job, reading JES/SYSPRINT output, interpreting condition codes, patching fixed-width source, and resubmitting.\n\nMuch of this work is structured and repetitive, but today it still depends heavily on expert humans who know how to navigate the terminal, interpret output, and follow local conventions.\n\nA chatbot next to a terminal is not enough.\n\nFor AI to be useful here, the agent needs to operate inside the mainframe environment itself.\n\n## **Solution**\n\nToday we’re launching **Hopper**, an agentic development environment for mainframes.\n\nHopper combines three things:\n\n1. A real TN3270 terminal\n2. Mainframe-aware panels for datasets, members, jobs, and spool output\n3. An AI agent that can operate across z/OS workflows\n\nThe agent can navigate ISPF, inspect datasets, write and edit COBOL, generate and modify JCL, submit jobs, parse JES spool output, analyze return codes, query VSAM, interact with CICS, and explain failures.\n\n![uploaded image](/media/?type=post&id=101267&key=user_uploads/317991/2c056d32-2347-4dd9-9b53-697349527628)\n\n\n## **Why this matters**\n\nThe mainframe is not just a codebase. It is an operating environment with its own workflows, conventions, interfaces, and failure modes.\n\nMost AI coding tools treat legacy systems like static repositories. That misses a huge part of the real work.\n\nIn mainframe environments, the important context often lives across terminal screens, datasets, job output, copybooks, CICS regions, VSAM files, scheduler conventions, and decades of operational knowledge.\n\nHopper’s design principle is simple:\n\nPreserve the fidelity of the mainframe environment, but make it accessible to AI agents.\n\nOnce agents can safely operate inside the mainframe, new workflows become possible:\n\n* Faster job debugging\n* Automated documentation\n* Safer COBOL changes\n* Test generation\n* Migration planning\n\nWe think this is the missing layer between today’s AI coding tools and the mission-critical systems that still run much of the world.\n\n## **Who we are**\n\nWe’re Sai and Aayush, former Apple AIML engineers, and we’re building Hypercubic to bring AI-native maintenance and modernization infrastructure to mainframe and COBOL systems.\n\n### **🤝 What we’re looking for**\n\n* **Intros:** Connections to CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500 companies, particularly in banking, insurance, manufacturing and retail.\n* **Enterprises** running COBOL or mainframe workloads exploring modernization or knowledge retention.\n* **Systems integrators / consultancies** seeking AI-powered tooling for mainframe understanding and modernization.", "url": "https://www.ycombinator.com/launches/QLL-hopper-agentic-development-environment-for-mainframe-cobol", "votes": 4, "created_at": "2026-05-12T22:10:37.540Z" }, { "id": 94926, "title": "Hypercubic – AI to maintain and modernize COBOL/Mainframes", "tagline": "Capture and preserve decades of institutional human expertise from your mainframe systems.", "body": "# **TLDR ⚡️**\n\nHypercubic helps Fortune 500s understand, preserve, and modernize their critical mainframe systems. These are the COBOL systems from the 1960s that still power banking, insurance, retail, airlines, government and more.\n\n# **Asks 🤝**\n\nWe’d love intros to:\n\n* CIOs, CTOs, VPs of Engineering, or Heads of Modernization at Fortune 500s, especially in banking, insurance, logistics, and airlines.\n* Any enterprise running COBOL or mainframe workloads.\n* Systems integrators or consultancies that work on mainframe maintenance or modernization.\n\n# **The Problem**\n\n**70% of the Fortune 500 enterprises still run on mainframes and COBOL originally built in the 1960s**. These systems run the global economy, yet they’ve become black boxes. The engineers who built and maintained these systems are retiring and what’s left behind is systems that are opaque, brittle, and nearly impossible to modify without risking production outages.\n\nThis institutional knowledge is a ticking time bomb:\n\n* **Vanishing Expertise:** The handful of engineers who understand the nuances of decades-old COBOL, JCL, and CICS systems are retiring or leaving.\n* **Failed Modernizations:** Without this deep expertise, modernization projects often fail, costing millions and creating brittle, unmaintainable systems.\n* **Inadequate Documentation:** Static, outdated documentation can't explain _why_ a system was built a certain way or how to debug a critical failure at 3 AM.\n\nCurrent \"AI for code\" tools analyze repositories, but they can't capture the unwritten rules, historical context, and architectural reasoning that lives only in the minds of the most senior engineers.\n\n**The result: trillion-dollar infrastructure with no surviving map or maintainers.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/40a1cc5c-9859-4df9-8dc4-50e9c7f9ab8f)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/0ec58980-1b71-49bd-bdd7-6bd6fa926bc4)\n\n# **Our Solution**\n\n**Hypercubic is building an AI-native maintenance and modernization platform that learns how legacy mainframe systems _actually work_ — and captures the human reasoning behind them.**\n\nWe start with:\n\n* **HyperDocs**, which ingests complex COBOL, JCL, and PL/I codebases to generate accurate high-fidelity documentation, architecture diagrams, and dependency graphs — giving teams an instant, living map of their systems.\n* **HyperTwin**, which captures the institutional expertise of retiring engineers by observing their workflows, screen interactions, and verbal reasoning. It builds a _digital twin_ of the experts on how they debug, architect, and maintain these systems in practice.\n\nTogether, HyperDocs and HyperTwin form an institutional knowledge layer that links _code_, _systems_, and _human reasoning_ — **enabling the next phase: autonomous AI agents that can safely maintain and modernize critical mainframes end-to-end.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/d9b867b9-cb41-4152-bc37-4dd215405d92)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/a4cebb8f-05e5-44b6-9e1b-9c932fdc7dbb)\n\n# **Why now?**\n\n**We’re at the tipping point of one of the largest knowledge transitions in human history.**\n\nFor decades, the systems that run our banks, airlines, and governments have quietly relied on a generation of engineers whose expertise lives only in their minds — and that generation is disappearing (baby boomer generation).\n\nAs the “silver tsunami” accelerates, **we’re watching trillions of dollars of institutional memory vanish line by line.** Every retirement is a lost encyclopedia. Every undocumented function is a forgotten decision that once held a company together.\n\nAt the same time, AI has finally evolved from pattern-matching to _reasoning_, giving us the tools to preserve and replicate that expertise before it’s gone.\n\n**For the first time, we can capture how systems think, not just how they run turning decades of fragile human memory into living, searchable intelligence.**\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/fd8874f2-b27c-4a7e-a8b9-a64325efe3d3)\n\n📩 You can reach us at [**team@hypercubic.ai**](mailto:team@hypercubic.ai) or learn more at [**www.hypercubic.ai**](http://www.hypercubic.ai)\n\n![uploaded image](/media/?type=post&id=94926&key=user_uploads/317991/b36ac655-321e-4b95-8907-3e3a6263ea2a)\n\n", "url": "https://www.ycombinator.com/launches/Oh4-hypercubic-ai-to-maintain-and-modernize-cobol-mainframes", "votes": 27, "created_at": "2025-10-28T14:17:21.889Z" } ] }, { "id": 30880, "name": "Nessie", "slug": "nessie", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.png", "website": "https://nessielabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Knowledge work is being restructured by AI. Strategy happens in Claude. Research happens in ChatGPT. Building happens in Claude Code and Codex. Meetings get recorded, notes get written, agents run for hours and leave behind traces nobody reads. The people defining the next decade of work are already thinking with AI every day. But none of that thinking compounds. Every session starts from zero. The reasoning behind decisions, the context behind strategies, the evolution of ideas across hundreds of conversations - all of it evaporates.\r\n\r\nNessie is the infrastructure that makes it permanent. We auto-sync AI conversations and agent traces across every major provider - ChatGPT, Claude, Gemini, Perplexity, Claude Code, Codex, Cursor, OpenClaw, Hermes, and more - alongside meetings, notes, and email from tools like Granola, Read AI, Plaud, and Obsidian. Everything a team produces with AI flows into one place and compounds over time.\r\n\r\nNessie turns that raw, heterogeneous data into an ontology: the live state of a company. Not a static schema but a continuously updated record of what the company knows, what it has decided, who owns what, and how its thinking has evolved, kept current as new work flows in. It is queryable from any agent through our CLI, MCP connector, and plugins, shareable across a team with real permissions, and deployable on-prem for organizations that need it.\r\n\r\nThen the loop closes. Once a company’s state is legible to its agents, every agent run becomes training signal: which skills worked, which failed, which workflows keep repeating. Nessie feeds that signal back as reviewable improvements to the skills, prompts, and processes the team runs on. This is what makes a company recursive: its agents get better from its own history, the people working with them get better too, and the compounding never stops.\r\n\r\nWhere we are going: the AI-native organization runs thousands of agents that are powerful but amnesiac. Nessie is the layer that gives them, and the humans steering them, a shared memory. Science has journals, law has case law, software has git; AI-native knowledge work has had nothing. We are building it.\r\n\r\nFounded by two Yale CS grads and former Amazon engineers, now a team of three in San Francisco. Backed by BoxGroup, Pioneer Fund, Y Combinator, Precursor, and more.\r\n\r\nhttps://nessielabs.com", "one_liner": "The shared context layer for recursive companies - your work, your…", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762383705, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nessie", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nessie.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nessie-labs", "x_url": "https://x.com/NessieLabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/400e4be5acfaa12735760bedcf4f0ad136f82137.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": 2910312, "full_name": "Anna Zhang", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Nessie. Yale BS ‘24. Prev engineer @ Amazon's recommendation service. Shipped ML-powered features for billions of customers and led experiment that demonstrated a $200MM/year revenue impact. Obsessed with augmenting human cognition since high school, having conducted neuroscience research at The Rockefeller University. Founded Nessie with Tiger to build AI brains after hitting the 1-million-token limit in multiple Gemini chats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anna-zhang-y/", "x_url": "https://x.com/anna_y_zhang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cbef9d4ec219c2791ba3e220d73050b20878456.jpg" }, { "user_id": 2910289, "full_name": "Tiger Wang", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Nessie. Yale BS ’24. Previously at Amazon, engineered planetary-scale authentication systems handling 40 billion requests/day. Promoted in a Tier-0 org in record time. Shipped an Android app with 70k+ users at age 13 and researched Linux kernel security at Yale. Expert in reverse-engineering complex systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tiger-wang-6a9b06189/", "x_url": "https://x.com/tigerjwang", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d70354fffd2186b4b828b8809f6d75339ef80161.jpg" } ], "jobs": [ { "id": 94429, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/nessie/jobs/3HYCa6v-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 97490, "title": "Founding Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/nessie/jobs/rfwlLxQ-founding-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 95270, "title": "Nessie: Perplexity for Your Mind", "tagline": "Turn your AI chats into searchable memory", "body": "![uploaded image](/media/?type=post&id=95270&key=user_uploads/854295/e88fb9f4-8055-4721-94d1-6959e0d83509)\n\nHey everyone! We're [Anna](https://www.linkedin.com/in/anna-zhang-y/) and [Tiger](https://www.linkedin.com/in/tiger-wang-6a9b06189/) – co-founders of [Nessie](https://www.ycombinator.com/companies/nessie).\n\n**TLDR**: Nessie turns your scattered AI conversations into a personal knowledge base where you can search, ask questions, and surface new insights.\n\nMany of us now think through AI conversations. Our most creative moments and deepest explorations happen in conversations with AI. Nessie is Perplexity for your mind, giving every AI conversation a permanent memory.\n\n# **The Problem**\n\nYour best ideas are scattered.\n\nBrilliant insights are buried in endless AI chat histories, impossible to find or build upon. Trying to connect an idea from last Tuesday’s chat with a note from today is a nightmare of copying, pasting, and losing context.\n\nYour best ideas deserve to compound.\n\n# **The Solution: A Home for Your Ideas**\n\nhttps://www.youtube.com/watch?v=FPSfW_0jFr4\n\nNessie gives your ideas a home—a single, fluid space where your notes and AI conversations live together. It’s a thinking partner that effortlessly captures your insights, building a single, perfect memory of your ideas.\n\nThis lets you:\n\n1. **Build your personal knowledge base, effortlessly**.\n\n Import your entire ChatGPT history, or capture individual conversations that you don’t want to lose. Nessie automatically distills your conversations into structured notes, organized around topics you care about. Your existing ideas become a structured, searchable knowledge base without you lifting a finger.\n\n ![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/ac6fef3a-848f-45c9-8b46-667661498cfd)\n\n2. **Instantly find any idea**.\n\n Search across your entire knowledge base and unearth your most brilliant ideas in seconds. Never lose a thought to a messy chat history again.\n3. **Compound your best thinking**.\n\n Your knowledge base becomes a thinking partner. You can chat with a specific concept, a folder of notes, or your entire knowledge base to connect ideas and create new insights.\n4. **Own your mind**.\n\n We believe agency over your own thinking is critical, especially in the age of AI. Nessie gives you transparent control over your memory. Your knowledge is built from visible, editable notes that you can shape and delete at will. Everything is stored locally and privately on your device—no one can see it but you.\n\n# **Who This Is For**\n\nNessie is built for AI-native thinkers: the researchers, founders, VCs, and writers who are already using AI as a partner to develop and challenge their ideas. If you live in ChatGPT and feel its limitations every day, we built Nessie for you.\n\n# **Our Vision**\n\nWe are building your personal context layer for the AI age. Our vision is a future where your thinking compounds effortlessly, where no idea is ever lost, and your own knowledge becomes your most powerful tool.\n\n# **About Us**\n\nWe built Nessie for ourselves.\n\nWe met at Yale and bonded over our shared obsession with using AI to push the limits of our own thinking. We quickly hit a wall. Anna had several Gemini chats that crossed the 1M token context window—a massive limit for any major model today. The brilliant insights from those conversations are now effectively lost.\n\nWe felt constrained by tools that weren't built for the way we think, so we built the solution we needed.\n\nWe use Nessie every single day.\n\n# **Our Ask**\n\n1. **Try Nessie and build your AI second brain.** We are obsessed with feedback from fellow AI power users and would be honored to hear your honest thoughts.\n2. **Follow our journey.** We'll be sharing updates, behind-the-scenes, and our learnings as we build in public.\n * [**X/Twitter**](https://x.com/NessieLabs)\n * [**LinkedIn**](https://www.linkedin.com/company/nessie-labs)\n * [**Discord**](https://discord.gg/6DkXCpVu6K)\n3. **Share with a friend.** If you know another founder, researcher, or writer who lives in their AI chats and is constantly losing great ideas, we'd love for you to share Nessie with them.\n\n**Download the Nessie Mac app at[ https://nessielabs.com/](https://nessielabs.com/)**\n\n**Contact us at [founders@nessielabs.com](https://mailto:founders@nessielabs.com)**\n\n![uploaded image](/media/?type=post&id=95270&key=user_uploads/2910312/06468cb4-10b3-444a-a3d6-9814a38ca81b)\n\n", "url": "https://www.ycombinator.com/launches/Omc-nessie-perplexity-for-your-mind", "votes": 34, "created_at": "2025-11-06T19:16:54.910Z" } ] }, { "id": 30881, "name": "Wardstone", "slug": "wardstone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12a498451818daa71ba01c88400ac7f241e33a03.png", "website": "https://www.wardstone.us", "all_locations": "Los Angeles, CA, USA", "long_description": "Wardstone builds a low-cost, modular interceptor platform for air and missile defense. Our platform enables the warfighter to right sizes their interceptors against the threat. This allows us to defeat air-breathing and ballistic missile threats at a fraction of the cost of exquisite interceptors, adding affordable magazine depth to existing air defense systems.", "one_liner": "The Modular Interceptor Platform", "team_size": 8, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1758642388, "tags": [ "Hard Tech", "Satellites", "Rocketry", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wardstone", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/wardstone.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/wardstone", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12a498451818daa71ba01c88400ac7f241e33a03.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ab81317481142b07105aa808600a4b4749295538.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4efeb33d5678c6b0ea2ce77889b521cbdc962c8c.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 2077453, "full_name": "Sebastian Fischer", "title": "Founder/CEO", "founder_bio": "I am the cofounder & CEO of Wardstone, a missile defense company building modular interceptors to defend the U.S. and its allies from air-breathing and ballistic missiles. I have 11+ years of engineering and product experience in satellites, drones, and self-driving cars. I held leadership roles at Amazon Prime Air and Cruise Self-Driving and previously worked at Lockheed Martin and NASA on Planetary Spacecraft. I studied Aerospace Engineering at MIT and did a dual MS/MBA degree at Harvard. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebastian-fischer-71ba9658/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a975f42da11779da4b51eab7d8fee48c2476250c.jpg" }, { "user_id": 736136, "full_name": "Tobias Fischer", "title": "Founder/CTO", "founder_bio": "I am the cofounder of Wardstone, where I lead the technical development of next-generation defense spacecraft. Previously I worked at Astranis, building, launching, and operating geostationary communication satellites. I hold a bachelor's in mechanical engineering from Cornell University. At Cornell, I was the Chief Spacecraft Engineer for a lunar CubeSat mission that demonstrated novel electric propulsion and navigation systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tobifischer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2169bbf45e34664f0faded58ac46a6922eee79ba.jpg" } ], "jobs": [ { "id": 117400, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/CFCKb8f-mechanical-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117401, "title": "Senior Propulsion Engineer - Solid Rocket Motors", "url": "https://www.ycombinator.com/companies/wardstone/jobs/fsF9kpQ-senior-propulsion-engineer-solid-rocket-motors", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117402, "title": "Lead Guidance, Navigation, and Controls Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/Rx9NXGQ-lead-guidance-navigation-and-controls-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117404, "title": "Engineering Intern", "url": "https://www.ycombinator.com/companies/wardstone/jobs/ebmOtW6-engineering-intern", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117406, "title": "Senior RF Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/dGSECYn-senior-rf-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117407, "title": "Lead Mechanical Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/VWvGVK4-lead-mechanical-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117408, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/jr5qBxR-senior-mechanical-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117409, "title": "Senior Aerodynamics Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/ucT0UPc-senior-aerodynamics-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117410, "title": "Propulsion Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/0GHovwc-propulsion-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117411, "title": "Technical Program Manager", "url": "https://www.ycombinator.com/companies/wardstone/jobs/kOxrx3O-technical-program-manager", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117412, "title": "Avionics Technician", "url": "https://www.ycombinator.com/companies/wardstone/jobs/2Cri5XL-avionics-technician", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117413, "title": "Mechanical Technician", "url": "https://www.ycombinator.com/companies/wardstone/jobs/QdOCjsL-mechanical-technician", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117414, "title": "Operations and Logistics Associate", "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD6arcZ-operations-and-logistics-associate", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117415, "title": "Supply Chain Manager", "url": "https://www.ycombinator.com/companies/wardstone/jobs/adts588-supply-chain-manager", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117416, "title": "Head of Manufacturing", "url": "https://www.ycombinator.com/companies/wardstone/jobs/nWEQ2kq-head-of-manufacturing", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 117456, "title": "MBA Intern - Missile Defense", "url": "https://www.ycombinator.com/companies/wardstone/jobs/oD9vGAc-mba-intern-missile-defense", "location": "El Segundo, United States", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 117457, "title": "Avionics Engineer", "url": "https://www.ycombinator.com/companies/wardstone/jobs/vJZ96sk-avionics-engineer", "location": "El Segundo, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95440, "title": "Wardstone: Satellites for Missile Defense", "tagline": "Introducing New Space Defense Capabilities for America's Golden Dome", "body": "# **Introduction**\n\nHi YC,\\\n\\\nWe are [Tobias ](https://www.linkedin.com/in/tobifischer/)and [Sebastian](https://www.linkedin.com/in/sebafischer/). Cofounders (and brothers!) of [Wardstone](https://www.wardstone.space/).\\\n\\\n**TL;DR:** Wardstone builds satellites for missile defense. We are pursuing an emerging \\~$40B/year space defense market as part of America’s Golden Dome initiative. Tobias studied Mechanical Engineering at Cornell and worked at Astranis. Sebastian studied Aerospace Engineering at MIT and worked at NASA, Lockheed Martin, Amazon, and Cruise. We built and demoed a live ground-based missile intercept during YC.\n\n# **Launch Video**\n\nCheckout the automated missile defense system we built during YC:\n\nhttps://youtu.be/jXABTM9GZ6s\n\n# **About Wardstone**\n\nWardstone builds space-based interceptors: satellites with interceptors designed to kinetically destroy missiles. New space threats, specifically hypersonic missiles, are emerging as existential threats to the United States. Our current missile defense systems were not designed for this new offensive technology. The United States’ Congress has allocated \\~$25B towards developing new on-orbit hypersonic missile defensive missile capabilities over the next 3 years. Follow on build out of this on-orbit defensive layer coined the _Golden Dome_ has been estimated by congress to cost up to $831B over the next 20 years.\\\n\\\nAt Wardstone, we believe that we can build defensive missile capabilities for a fraction of the cost of the offensive hypersonic weapons themselves, and orders of magnitude cheaper than the defensive concepts being proposed/explored by the major defense primes. We will do this with our first product, Hailstorm, that deploys high speed clouds of buckshot to kinetically destroy hypersonic missiles.\n\nOur integrated interceptor-satellite constellation provides global intercept capabilities from space for various missile types beyond hypersonics. \\\n\\\nThe success of Wardstone and the full deployment of the Golden Dome will place the United States in an incredibly strong geopolitical position.\n\nThe full Wardstone constellation with the space based intercept capability in action will look like this:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/f2a877a7-c23c-438d-8714-5a854930bba2)\n\n# **Our Progress During YC**\n\nDuring YC we had 2 main objectives: 1) build our first missile intercept demo and 2) establish relationships with our main customer: the US Space Force.\\\n\\\n**The Intercept Demo**\\\nWe built a fully automated missile tracking and intercept system that uses infrared computer vision for predicting the future missile position and a high pressure air cannon to deploy an interceptor to destroy a 150+ mph missile. Our system provided repeatable behavior, could adapt to different missile speeds, and destroyed a total of 3 missiles. Checkout he video above for the entire story and insights into our system. Highlights below:\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/c1d9b5df-8297-4a8a-aec8-a8529cb805e8)\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/4ea3e37d-2172-4627-bd54-67a1f2374fe3)\n\n**Space Force and Other Department of War Relationships**\\\nWe built relationships and engaged with multiple agencies inside the military including: Air Force Research Labs, AFWERX, Space Systems Command Commercialization Office, Space Safari, and the Navy’s Joint Special Operations Command. We are receiving letters of support for an Air Force $3MM Space Based Interceptor SBIR grant and are receiving inbound requests for additional use cases of our technology (Ground to Air, Space to Ground).\\\n\\\nWe have also engaged with five satellite bus and sounding rocket providers to integrate our Space Based Interceptors for our Series A demo milestone.\\\n\\\nIf Space Defense Technology resonates with you, please reach out: [founders@wardstone.space](mailto:founders@wardstone.space).\n\n![uploaded image](/media/?type=post&id=95440&key=user_uploads/2077453/129abf15-7925-4374-9279-d48e58da1fa2)\n\n---", "url": "https://www.ycombinator.com/launches/OpM-wardstone-satellites-for-missile-defense", "votes": 25, "created_at": "2025-11-12T06:56:19.257Z" } ] }, { "id": 30882, "name": "AtlasGrid", "slug": "atlasgrid", "former_names": [ "I purchased precedents.ai, will found a corp w/ Clerky in 2 weeks once the domain transfer is confirmed", "precedents.ai", "AtlasGrid AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c51d7c36e595d35dc2f3a6fbe00ef8d4d923dbe9.png", "website": "https://atlasgrid.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "AtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities + actionable product improvements.", "one_liner": "Accelerate Product Iteration", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1763057438, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atlasgrid", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/atlasgrid.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/atlasgrid-ai", "x_url": "https://x.com/AtlasGridAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c51d7c36e595d35dc2f3a6fbe00ef8d4d923dbe9.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": 32432, "full_name": "Oleg Kostour", "title": "Founder/CEO", "founder_bio": "Oleg Kostour is a 2nd time YC founder and Waterloo alum. He founded Pair (YC W12), a messaging app that received 10M installs and reached the top charts in the iOS social networking category. He closed 2 acquisitions - with Dropbox, then Life360 - and ran the Growth team at Life360 from ~3M rMAU through to their IPO (~90M MAU).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olegkostour/", "x_url": "https://x.com/olegkostour", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff761ae7310a93ecd5707a50f3feb78719dd3524.jpg" }, { "user_id": 3094722, "full_name": "Aram Aghababyan", "title": "Founder", "founder_bio": "Ex-Meta - Superintelligence Labs, AI Infra. Data and compute resource management platform for ML training jobs.\nPrior to Meta, worked on DC infrastructure for large-scale software-defined networks at Insieme Networks (acquired by Cisco).\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaghababyan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b64c22b9abe68825f0256e2464c01d87d017a050.jpg" }, { "user_id": 73281, "full_name": "Anton Krutiansky", "title": "Founder", "founder_bio": "Anton Krutiansky is a second-time YC founder, Waterloo alum, and former tech lead at Dropbox. He co-founded Pair (YC W12) and played a key role in its acquisition by Dropbox. At Dropbox, Anton served as a tech lead on growth and mobile teams, building growth and experimentation infrastructure and leading mobile engineering across several product teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonkrutiansky", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29725cd7fecac6ba53fec05640e0f0d22b137191.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95857, "title": "AtlasGrid - Accelerate Product Iteration", "tagline": "The Future of Analytics & Growth Intelligence", "body": "https://www.youtube.com/watch?v=W-VDeXPeNCA\n\n**TLDR**\n\nAtlasGrid automatically builds a visual graph of your mobile app UI and displays analytics directly on your screens. Additionally, our fleet of AI-powered agents will continuously analyze thousands of mobile apps, gathering design insights and identifying growth opportunities and actionable product improvements.\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/63720cfd-c630-4559-a683-55aa9a607eeb)\n\n**The Problem**\n\nProduct teams today operate in an increasingly fragmented environment. As organizations scale, documentation becomes scattered across PRDs, design files, JIRA tickets, and BI dashboards.\n\nThe lack of an up-to-date data dictionary causes analysts to have to track down subject-matter experts or ask engineers to audit the code to confirm the implementation of events. Designers creating new experiment variants find it hard to understand what users do on their existing screens before changing them (_“I wish Figma had a **data mode**”_). There’s often no single, authoritative ‘**source of truth**’ file for the interface design that can be referenced to understand what a user _actually_ sees, and in some cases, there is no Figma file at all (as designers adopt tools like Cursor to prototype). Oftentimes, product personnel resort to manually annotating Figma files with analytics found in their BI tools, or manually screenshotting parts of their own app.\n\nThese obstacles make it difficult to form a coherent, end-to-end understanding of a complex app. As a result, teams operate with partial or conflicting information, leading to missed growth opportunities.\n\n**Introducing AtlasGrid, an easy way to see your data in context**\n\nAtlasGrid uses an AI agent to go through your iOS and Android app, building a graph of the app architecture. It captures your analytics events, and builds a searchable graph of your app. You can easily find app screens, flows, events and even see funnel + CTA conversion rates directly on your UI. This makes it easy to get answers to questions like _“which upsells drive most of my trials”_ or _“where am I losing most of my users in onboarding”_. By tracking changes across every version of your app, every feature flag, we will become a source of truth for your product development cycle.\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/ae6d9a35-971a-41d8-b6a3-dde2df305631)\n\n**Our Vision**\n\nAtlasGrid is building towards a future in which generative design is commoditized, and the primary differentiator for teams will be performance. How quickly they can identify opportunities, ship improvements, and measure results. Our platform will integrate directly with AI code-generation tools, enabling developers to rapidly launch design variations suggested by “the grid,” dynamically reconfiguring their app for growth.\n\nWe believe the future of product development is self-improving applications, as more stages of today’s iteration process become automated. AtlasGrid will accelerate one of the most costly and time-consuming parts of that lifecycle.\n\n**Our founding team**\n\n[**Oleg Kostour**](https://www.linkedin.com/in/olegkostour/) is a 2nd time YC founder and Waterloo alum. He founded Pair (YC W12), a messaging app that received 10M installs and reached the top charts in the iOS social networking category. He closed 2 acquisitions - with Dropbox, then Life360 - and ran the Growth team at Life360 from \\~3M rMAU through to their IPO (\\~90M MAU).\n\n![uploaded image](/media/?type=post&id=95857&key=user_uploads/32432/d6267f91-4de3-49fc-be7a-06438679c1b5)\n\n[**Anton Krutiansky**](https://www.linkedin.com/in/antonkrutiansky/) is a second-time YC founder, Waterloo alum, and former tech lead at Dropbox. He co-founded Pair (YC W12) and played a key role in its acquisition by Dropbox. At Dropbox, he served as a tech lead on growth and mobile teams, building growth and experimentation infrastructure and leading mobile engineering across several product teams.\n\n[**Aram Aghababyan**](https://www.linkedin.com/in/aaghababyan/) was an Engineer at Meta Superintelligence Labs, developing the AI training platform for managing data and compute resources for ML training jobs. Prior to Meta, he specialized in data center infrastructure for large-scale software-defined networks at Insieme Networks (later acquired by Cisco).", "url": "https://www.ycombinator.com/launches/Ow5-atlasgrid-accelerate-product-iteration", "votes": 58, "created_at": "2025-11-29T06:03:01.423Z" } ] }, { "id": 30883, "name": "hillclimb", "slug": "hillclimb", "former_names": [ "Plun", "Hillclimb" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/660320374818f816f5cf14de03fe92dcab2740eb.png", "website": "https://hillclimb.com", "all_locations": "San Francisco, CA, USA", "long_description": "We work with frontier AI labs to help train their agents to become AI research scientists", "one_liner": "Training Data for Recursive Self-Improvement", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759385382, "tags": [ "Reinforcement Learning" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hillclimb", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/hillclimb.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hillclimb", "x_url": "https://x.com/hillclimbai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/660320374818f816f5cf14de03fe92dcab2740eb.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": 1934623, "full_name": "Jun Park", "title": "Founder/CEO", "founder_bio": "hillclimb / prev deepmind, pro valorant, georgia tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jpark72/", "x_url": "https://x.com/jparkjmc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2f60ab168221d0f4d4e9cd4fc7732880307a3a5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95533, "title": "hillclimb - Training data derived from human superintelligence", "tagline": "Building the human superintelligence community to advance AI", "body": "Hello! We’re Jun Park and Ibrakhim Ustelbay, founders of[ hillclimb](https://www.hillclimb.ing).\n\n\\_TLDR: To close the gap between today and the arrival of artificial superintelligence, we’re building a community of the world’s brightest minds to create the next generation of training data. Starting with math, we’ve formed the world’s densest cluster of IMO medalists, lean experts, and other math talent to design **RL environments** for frontier labs.\\_\\\n\\\n[Launch Video](https://youtu.be/30y3-SbRfZM)\n\n# The Problem - Data is accelerating on every axis\n\n**3 years ago,** we were impressed that ChatGPT could get good SAT scores. Today, GPT-5 and other frontier models assist meaningfully in coding, research, and tool use. Within two years, AI systems will autonomously [extend the frontier of science](https://x.com/SebastienBubeck/status/1958198661139009862?s=20).\n\n**Behind every leap in capability is a leap in the sophistication of data:**\n\n* From simple supervised fine-tuning → to richly structured RL environments → to world models and beyond\n* From mass labor → to curated, deeply intellectual data generation\n* From “labeling tasks” → to capturing the reasoning processes of domain experts\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/128c37ee-f8e8-411b-9826-4b1b4492a9e2)\n\n_If AI reflects the intelligence of the people who shape its training data, the next era of progress requires the smartest humans on the planet._\n\n# The Solution - The world’s first _human superintelligence_ community\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/1e971272-cd2e-46d9-9814-f81268047155)\n\n**In our first 2 months, we’ve:**\n\n* Built the densest cluster of elite math talent in the industry (IMO medalists, [Putnam Top 50](https://maa.org/wp-content/uploads/2025/03/2024-William-Lowell-Putnam-Competition-Announcement-of-Winners.pdf), Lean formalization experts, etc.)\n* Created _training data_ pipelines that faithfully capture their problem-solving intelligence\n* Partnered with [Nous Research](https://nousresearch.com) to help train a model that’s SOTA for math competitions.\n\n**We recruit top talent with a 85% winrate** against incumbents because we treat them as partners, not gig workers. For our work with Nous, we’ve negotiated co-authorship for our mathematicians because the data they produce has become a critical component of AI research.\n\n**Researchers love working with us** because we drop them in our community, allowing the iteration loop to become radically tighter. Instead of waiting for dataset revisions, they collaborate directly with world-class minds and see improvements in minutes, not months.\n\n# Our Story  **🎮 → 👨‍💻 → ⛰️**\n\nIt was only two years ago that we retired from competing professionally in esports. We taught ourselves to code and within a year, I became a research engineer at **DeepMind**, and Ibrakhim founded **Headstarter**, the first AI interviewer, scaling it to 100k+ users.\n\nIn the business of connecting the world’s smartest people to frontier labs, I understand the AI researcher’s perspective on what makes good training data, and Ibrakhim understands how to properly vet talent.\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/08897fc4-b9c0-4dfd-913f-61f4bebd1998)\n\n# Our Ask\n\nIf you work at a frontier lab and need data (or know anyone who does), please reach out! Email us at [founders@hillclimb.com](mailto:founders@hillclimb.com).\n\nAlso, check out our site at [hillclimb.com](https://www.hillclimb.com/). Thanks for the support!\n\n![uploaded image](/media/?type=post&id=95533&key=user_uploads/1934623/797938d1-6d99-44f5-ad7d-1d302f0193fe)\n\n", "url": "https://www.ycombinator.com/launches/Oqr-hillclimb-training-data-derived-from-human-superintelligence", "votes": 155, "created_at": "2025-11-15T03:38:57.742Z" } ] }, { "id": 30884, "name": "Flick", "slug": "flick", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f96ddb243962497e60383676b01ce3b0cd4cb76.png", "website": "https://flick.art", "all_locations": "Santa Barbara, CA, USA", "long_description": "Flick is an AI filmmaking software that lets people create Hollywood-level short films completely using AI end-to-end.\r\n\r\nThere are many AI tools that can give you 8-second casual clips to post on social media, but when it comes to creating truly high-quality films with coherent storylines, consistent characters, and cinematic aesthetics, they don’t come close due to their lack of flexibility, creative control, and fragmented creative flow.\r\n\r\nFounded by an award-winning filmmaker and a founding engineer at Instagram, Flick defines an interface specifically designed for native AI filmmaking that feels natural and enables end-to-end creative flows. Think of Flick as Figma for AI filmmaking.\r\n\r\nThere are 4 complete AI short films created using Flick that got 20+ awards in international film festivals already and our early creator residency community are generating several AI short films every week.\r\n\r\nWe are also building a community where we produce our own AI films as well as collaborating with other well-known filmmakers to share their “behind-the-scenes” workflows as resuable templates to inspire users in our community. We not only build product, we also build world-class content.\r\n\r\nThe whole film industry will be revolutionized by AI and our goal is to be “the product” that defines this category.", "one_liner": "We Handle AI. You Direct Films.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1759897034, "tags": [ "Creator Economy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Content" ], "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/flick", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/flick.json", "year_founded": 2025, "city": "Santa Barbara", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flickart/", "x_url": "https://x.com/flickartHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9f96ddb243962497e60383676b01ce3b0cd4cb76.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": 2963240, "full_name": "Ray Wang", "title": "Founder/CEO", "founder_bio": "Founding engineer on Instagram AI team — built first version of Instagram Stories and helped it to grow 0 → 400M DAU in 2 years as one of the main contributors.\n\nHave built multiple profitable AI products in the past venture.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ruiwang3/", "x_url": "https://x.com/RuiCromwell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/903e8775afaa07e424d80d48dd9099c9a0cf65fa.jpg" }, { "user_id": 2980671, "full_name": "Zoey Zhang", "title": "Founder", "founder_bio": "Award-winning filmmaker and product designer. Created AI films in 2025, nominated by over 30 film festivals, including Best Visual Award at MIT AI Film Hackathon and Winner at OMNI AI Film Festival. Her AI filmmaking paper was published at SIGGRAPH 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/z0ey", "x_url": "https://x.com/ZoeyZ1004", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2f21f5eb81d3bf9a4fc71d0bbc2078ac7b7b887.jpg" } ], "jobs": [ { "id": 86525, "title": "Senior/Staff Frontend Engineer", "url": "https://www.ycombinator.com/companies/flick/jobs/Tdu6FH6-senior-staff-frontend-engineer", "location": "Sunnyvale, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "React", "TypeScript" ] }, { "id": 94208, "title": "Senior Full-stack Engineer", "url": "https://www.ycombinator.com/companies/flick/jobs/mqWOs5b-senior-full-stack-engineer", "location": "Sunnyvale, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 108124, "title": "Growth Engineer Intern", "url": "https://www.ycombinator.com/companies/flick/jobs/2fRbygf-growth-engineer-intern", "location": "Remote (US)", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $7K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 111492, "title": "AI Filmmaking YouTuber & Educator (Youtube)", "url": "https://www.ycombinator.com/companies/flick/jobs/d28zGrK-ai-filmmaking-youtuber-educator-youtube", "location": "Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$70K - $120K", "equity_range": "0.25% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111594, "title": "AI Creative Intern", "url": "https://www.ycombinator.com/companies/flick/jobs/FdCwdvp-ai-creative-intern", "location": "Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$20 - $40 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 113412, "title": "Product Operations Intern", "url": "https://www.ycombinator.com/companies/flick/jobs/v0dDRhE-product-operations-intern", "location": "Remote (US)", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 114423, "title": "GTM Intern (Creator & Community)", "url": "https://www.ycombinator.com/companies/flick/jobs/vifaulM-gtm-intern-creator-community", "location": "Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$20 - $40 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 117133, "title": "Motion & Graphic Design Intern", "url": "https://www.ycombinator.com/companies/flick/jobs/Dfvekvd-motion-graphic-design-intern", "location": "Remote (US)", "type": "Internship", "role": "Design", "role_type": "Brand/graphic design", "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "AI Filmmaking Startup Flick Lands $6M Seed Funding: Pitch Deck - Business Insider", "url": "https://www.businessinsider.com/ai-filmmaking-startup-flick-lands-yc-seed-funding-pitch-deck-2026-5", "date": "Jun 15, 2026" }, { "title": "Flick Raises $6M to Build the Filmmaking Platform for the AI Era - The Silicon Valley Post", "url": "https://svpost.com/articles/flick-6m-seed/", "date": "May 14, 2026" } ], "launches": [ { "id": 104559, "title": "Flick TV: The Future Home of Original AI Films", "tagline": "Original AI films and series, created with Flick and premiered on Flick TV.", "body": "**Tl;dr:** We’re launching Flick TV today — a home for original AI films and series, created with Flick.\n\nWatch First Flick Original Series Trailer:\\\n\n\nThink of it as a new kind of studio + distribution platform for AI-native storytelling: filmmakers use Flick to create cinematic films from idea to final cut, and Flick TV becomes the place where audiences can watch original AI films, series, and creator-led experiments.\n\nOur belief is that AI filmmaking needs more than generation tools. It needs original IP, recurring series, creative direction, production workflows, and a place for audiences to discover the best work.\n\nFlick is building both sides:\n\n\\- AI filmmaking platform for creators: go from idea → script → storyboard → shots → edit → finished film in one workspace, with more creative control across characters, styles, scenes, and production workflows.\n\n\\- Flick TV, the home for original AI films and series\n\nTry it now: [flick.art](http://flick.art)\n\n![uploaded image](/media/?type=post&id=104559&key=user_uploads/2980671/54220433-4453-4294-b014-440b4c91378c)\n\n", "url": "https://www.ycombinator.com/launches/RCR-flick-tv-the-future-home-of-original-ai-films", "votes": 14, "created_at": "2026-07-02T17:04:26.501Z" }, { "id": 95208, "title": "Flick = Figma + Cursor for AI Filmmaking 🎬", "tagline": "AI Filmmaking tool for anyone who cares about aesthetics, control, and flexibility", "body": "👉 **Other AI tools generate clips** — **Flick lets you direct Films**\n\n👇 **All launch video content made with Flick** by ourselves | 🔊+🎧 recommended\n\nhttps://youtu.be/daVI0yscN94?si=iEhip6dPkn8E4rwu\n\n👉 Make your first film: [flick.art](https://flick.art/?invite_code=YCLAUNCH) with code: YCLAUNCH\n\n### **Problem**\n\nMany AI tools can give you 8-second casual clips to post on social media, but when it comes to making high-quality films, they don’t come close due to their lack of flexibility, creative control, and fragmented creative flow.\n\nCreators think very differently from consumers. Creators think in a non-linear way — moving back and forth freely to iterate, making decisions at every step. To direct a film, creators need not just visual and character consistency, but also character movement, shot angles, camera language, and emotional arc.\n\n### **Solution**\n\nFlick puts creative power back in the hands of filmmakers:\n\n1. **Infinite Canvas + Chat**\n\n An infinite canvas where users upload or generate text, images, and video as connected nodes. We integrate multiple models, but instead of prompt-to-video, we let filmmakers think in terms of scripts, characters, and scenes and give them a natural “chat to create on canvas” experience.\n\n ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/b8812b5c-bb57-4071-9c06-8fe98632f7d0)\n\n2. **Editing while creating**\n\n Creators like to go back and forth when making shots, so we built editing tools directly into the canvas. So, they can define exactly what kind of shot they want to add or delete to ensure a stronger narrative.\n\n ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/03442527-7251-4885-9368-05ebffdb3191)\n\n3. **Studio + Perplexity for film scenes**\n\n No one creates from nothing, we’ve needed inspiration since the beginning of humanity. That’s why we’re building [Studio](https://flick.art/studio/experiments-too-boring?from=home), where we produce our own [AI films](https://flick.art/studio/short-films-a-letter-in-early-fall?from=home) and collaborate with leading filmmakers to share their behind-the-scenes workflows as reusable canvases and templates for our community members.\n\n ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/9c2e48c5-fdcc-4228-9782-250c0b8325d6)\n\n And integrated Perplexity for film search, allowing users to find classic film shots as references.\n\n ![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/508c6b70-0b8d-4c27-8f40-74481ffde11f)\n\n\n### **Connect Hollywood？**\n\n[**John Rosenberg**](https://www.imdb.com/name/nm0742239/) is a Hollywood filmmaker, producer, and production executive with over 30 years experience. He has worked at studios including 20th Century Fox, Orion, and New Line. His films have premiered at Sundance.\n\nJohn also is a professor at [USC’s School of Cinematic Arts](https://cinema.usc.edu/directories/profile.cfm?id=33682) and a member of ACE (American Cinema Editors). His editing books, published by Routledge / Focal Press, are widely used by film students around the world.\n\nJohn joins Flick as our advisor to connect Hollywood filmmaking craft with the next generation of AI storytellers.\n\n### **Now**\n\n👉 Make your first film: [flick.art](https://flick.art/?invite_code=YCLAUNCH) with code: YCLAUNCH\n\n[LinkedIn](https://www.linkedin.com/company/flickart) | [X](https://x.com/flickart_ai) | [Discord](https://discord.gg/SPYgXej78k) | [Instagram](https://instagram.com/flickart_ai) | [TikTok](https://tiktok.com/@flick_art)\n\n### **About Us**\n\n[**Ray**](https://www.linkedin.com/in/ruiwang3/) was a founding engineer at Instagram AI team, who helped build the first version of Instagram Stories, launched it and helped grow it from 0 to 400M DAU in 2018. As main contributor, wrote almost all the backend code in the first year. Have built multiple profitable AI products in the past venture.\n\n[**Zoey**](https://www.linkedin.com/in/z0ey/) has been a filmmaker since 2013, graduated from Brown and RISD. She is an award-winning filmmaker and product designer. Previously her creations include commercials for Mercedes-Benz, viral short films with millions of views, an award-winning documentary, and collaborations with leading film talents such as cinematographer Thierry Arbogast (_Léon_). Her AI filmmaking research was published at [SIGGRAPH 2025](https://dl.acm.org/doi/10.1145/3721250.3742968).\n\nFlick was emerged from the creation of Zoey’s first AI film that got best visual award at [MIT film festival](https://mitaifilmhack.com/winners/). Since then, there are 4 complete AI short films created using Flick that got 20+ awards at international film festivals and our early creator residency are generating several AI short films every week.\n\n---\n\n### **Mission**\n\nThe next generation of creators won’t think about “prompting models” at all, they’ll just direct, compose, and feel, and the tools will disappear into their creative flow. That’s the future we’re building toward. And that’s why we exist.\n\n### **Ask**\n\nIf you know film studios or creators interested in AI filmmaking, reach out to us: [founders@flick.art](mailto:founders@flick.art) ✌️🍊\n\n![uploaded image](/media/?type=post&id=95208&key=user_uploads/2980671/97d97c4c-82b0-4de1-8bb5-e3a579aa677c)\n\n", "url": "https://www.ycombinator.com/launches/Olc-flick-figma-cursor-for-ai-filmmaking", "votes": 94, "created_at": "2025-11-05T18:07:12.705Z" } ] }, { "id": 30885, "name": "Semble", "slug": "semble", "former_names": [ "Cadence", "Cadlit", "Semble AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3be22ea19fa3ff9792176dc916455712e0e9ecda.png", "website": "https://www.sembleai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Takeoffs, design, and field work. Powered by AI. Mark up plans. Organize documents. Collaborate on PDFs. Keep crews moving.\r\n\r\nJonathan and Ethan met studying computer science at Stanford. Jonathan worked at Convergint, one of the world's largest building system integrators.", "one_liner": "Takeoffs, design, and field work. Powered by AI.", "team_size": 14, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758754473, "tags": [ "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/semble", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/semble.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sembleai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3be22ea19fa3ff9792176dc916455712e0e9ecda.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": 2102863, "full_name": "Jonathan Tyshler", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Semble AI; previously economics and computer science at Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-tyshler", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff16b999d90c89b3a3c6c4eee71eb9b2a2abbb0d.jpg" }, { "user_id": 2440896, "full_name": "Ethan Boyers", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO at Semble AI; previously, math and computer science at Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-boyers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4788db72e1c296d34594f6bd13193bf1af7fd41.jpg" } ], "jobs": [ { "id": 86167, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/semble/jobs/d4YUIn2-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.80% - 1.40%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Express", "Node.js", "PostgreSQL", "Python", "React", "TypeScript", "Machine Learning", "Computer Vision" ] } ], "news": [], "launches": [] }, { "id": 30886, "name": "Clerked", "slug": "clerked", "former_names": [ "Mod AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.png", "website": "https://clerked.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Fully automate your accounts payable with the most advanced AI clerks in the world.\r\n\r\nThen ask them anything about your spend. They build custom reports, find savings, and tell you exactly when to pay to protect cash flow and capture discounts.\r\n\r\nClerked is the only AP platform that lets you manage your payables entirely from your phone, in Teams, Slack or iMessage.\r\n\r\nSee it work at clerked.ai", "one_liner": "AI clerks that automate your payables", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759171972, "tags": [ "Fintech", "Finance", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clerked", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clerked.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clerked-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84eedde0d0f019eaafca3d59004098b0b94f6ffb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1635968, "full_name": "Evan Meyer", "title": "Founder/CEO", "founder_bio": "CEO @ Clerked\n\nStudied CS + Stats at UIUC and worked in data, ML, AI at LinkedIn and a couple of startups.", "is_active": true, "linkedin_url": "https://linkedin.com/in/evanameyer", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81107bf69f7a35f50950e37d47296f47cbb3e6e0.jpg" }, { "user_id": 2058253, "full_name": "Sunjeet Chugh", "title": "Founder/CTO", "founder_bio": "CTO @ Clerked (formerly Mod AI).\n\nOn leave from studying CS & Statistics @ UIUC, previously worked on applied AI and distributed systems at Amazon, Adyen, and Retail/CPG companies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeetchugh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08af39a0f3c84576e9352607ed3b99f60d92d3b9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94606, "title": "Mod AI: Automating Accounts Payable with AI Agents", "tagline": "Where AP runs itself", "body": "Hey everyone 👋\n\nWe’re [Evan](https://www.linkedin.com/in/evanameyer/) and [Jeet](https://www.linkedin.com/in/jeetchugh/) – co-founders of [Mod AI](https://usemod.ai).\n\n# **TL;DR**\n\n**Mod AI automates the manual work of processing invoices for growing enterprises.** We’ve already helped accounting teams of 1-20+ streamline their invoice processing by 83%.\n\n**_Ask:_** Can you introduce us to CFOs, controllers, Accounting Directors, or Accounts Payable managers of mid to large companies that could benefit from streamlining their accounting processes with AI? Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)\n\nhttps://youtu.be/XaT6mEQnWmE\n\n# ❌ The Problem\n\nMost growing enterprises still process invoices manually—hiring AP clerks to comb through inboxes, type up documents, and chase approvals. As volume grows, they scramble to add more headcount or outsource to expensive temps.\n\nThis creates three major pains:\n\n1. **Cash flow blindness** – No visibility until month-end close\n2. **Unscalable manual work** – More invoices means more clerks (highest-turnover role in finance)\n3. **Vendor relationship damage** – Late payments and errors erode trust\n\nWe talked to 23 CFOs last month—nearly all said their AP process couldn't scale.\n\n# 👷 Our Solution\n\nMod AI deploys AI agents that handle your accounts payable process end-to-end—from the moment an invoice arrives to the moment it's paid and synced to your books. Companies simply connect their systems and instantly get:\n\n* **Complete invoice capture** 📥**:** Auto-pull from email, supplier portals, EDI, physical mail\n* **Intelligent processing** 🧠**:** 97%+ accurate GL coding, 2-way/3-way matching, fraud detection\n* **Seamless approval & payment** ✅**:** Custom workflows, one-click approvals, direct sync to accounting software\n\n**Result:** Real-time spend visibility, 10x invoice volume without hiring, and stronger vendor relationships.\n\n# 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, we'd love your help:\n\n* **Do you know any mid-market CFOs, Controllers, or VP Finance leaders** whose AP teams are drowning in manual invoice work? Or are you one yourself? We'd love to show you a demo and discuss how Mod AI can help you scale without adding headcount.\n* **Can you introduce us to any finance operations networks or communities** where leaders are looking for AI solutions to automate back-office work?\n* **Can you introduce us to any accounting firms, fractional CFO groups, or ERP consultants** who work with mid-market companies in financial services, insurance, or manufacturing?\n\n👉 **Contact us at [evan@mod-ai.org](mailto:evan@mod-ai.org)**", "url": "https://www.ycombinator.com/launches/Obu-mod-ai-automating-accounts-payable-with-ai-agents", "votes": 13, "created_at": "2025-10-14T14:37:44.360Z" } ] }, { "id": 30887, "name": "SellRaze", "slug": "sellraze", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d0c3af40b49318f2b71a98f2764633829b06a75.png", "website": "https://sellraze.com", "all_locations": "San Francisco, CA, USA", "long_description": "SellRaze is an AI-powered selling assistant that helps anyone sell anything in seconds. Point your camera at any item and we'll identify it, price it, and create an engaging listing across multiple marketplaces, including our own.\r\n\r\nEach day, more than 2,500 items are added to SellRaze, representing over $326,000 in inventory value.", "one_liner": "The fastest way to sell online.", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1759197803, "tags": [ "Marketplace", "Consumer", "E-commerce", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/sellraze", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sellraze.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sellraze", "x_url": "https://x.com/SellRaze", "fb_url": "https://www.facebook.com/p/SellRaze-100083634793345/", "cb_url": "https://www.crunchbase.com/organization/sellraze", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0d0c3af40b49318f2b71a98f2764633829b06a75.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": 1004744, "full_name": "Jeff Mao", "title": "Founder/CEO", "founder_bio": "I'm Jeff, co-founder and CEO of SellRaze.\n\nIn high school I was a sneaker reseller. Instead of paying attention in math class, I was building custom software to snag Jordan releases. During COVID, I reverse engineered Amazon's anti-bot system and sold it to scalpers... which crashed the supply chain for 30 series graphics cards, PS5s, and Xbox X's.\n\nNow I help people buy and sell online :)", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeff-mao", "x_url": "https://x.com/JeffMao_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f6c225925514b7f2bf06d9912c61675fdfb3d07.jpg" }, { "user_id": 1591920, "full_name": "Tyler Ma", "title": "Founder/CTO", "founder_bio": "Cofounder/CTO of SellRaze. I went to Georgia Tech for a year and dropped out to work on SellRaze. I love cars and motorsports, and outdoorsy stuff. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/tyler-ma-9854751aa", "x_url": "https://x.com/tylerma_?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c82b757386c5c741194e1494a107107b0d8896ad.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94942, "title": "SellRaze: Sell your stuff in seconds.", "tagline": "SellRaze turns your clutter into cash in seconds.", "body": "Hi everyone 👋\n\nWe’re [Jeff](https://www.linkedin.com/in/jeff-mao/) and [Tyler](https://www.linkedin.com/in/tyler-ma-9854751aa/), co-founders of [SellRaze](https://www.sellraze.com/).\n\n**TL;DR:**\n\n**SellRaze can sell your stuff from just a pic, using AI.** Over 200,000 users have already listed 500,000+ items, with 2,500+ added every day.\n\n\n\n**Our Story**\n\nIn high school, I (Jeff) was a reseller. Instead of paying attention in math class, I would spend hours trying to buy limited-edition Jordans.\n\nAt first, I thought getting inventory was the hard part. But as I scaled to hundreds of items, I discovered the real bottleneck was actually selling them.\n\nEvery item took 30+ minutes: research comparable prices, write descriptions, take photos, fill in product details, post across eBay, Poshmark, Mercari, Facebook Marketplace. Then do it all over again for the next item.\n\nI had thousands of dollars in inventory just sitting there because the listing process was killing me.\n\n**We realized this wasn't just a reseller problem.** The average American household has $4,000 in unused stuff lying around, yet most Americans who've sold online quit after just a few listings. Valuable inventory sits unsold, not because there aren't buyers, but because the listing process is too manual to make sense. With AI, this is finally changing.\n\n🗣️ **What we’ve built**\n\nSellRaze turns a photo into a live listing **in seconds.**\n\nPoint your camera at anything. Our AI identifies the item, determines what it's actually worth, selects the best photos, fills in every detail, and lists it across multiple marketplaces, automatically. Once it sells, we arrange free pickup from your door.\n\nThe entire process, which used to take 30+ minutes, now takes seconds.\n\nWe're building more ways to help sellers make money faster, including our own marketplace where video and social discovery replace static search.\n\n![uploaded image](/media/?type=post&id=94942&key=user_uploads/1004744/bf667419-2fcf-4f16-9d62-d583ca997790)\n\n**🚀 Traction**\n\n* 200,000+ signups\n* Averaging 30% MoM growth\n\n**Our Team:**\n\nJeff (CEO) likes breaking stuff. In high school he built “sneaker bots” to buy Jordans faster than everyone else. During COVID, he started a company reverse-engineering anti-bot systems from PerimeterX, Akamai, Datadome, and Amazon, then sold the exploits to scalpers. It crashed the supply chain for 30-series NVIDIA GPUs, PS5s, and Xbox X's. He made his first $100,000 before turning 18.\n\nTyler (CTO) spent college writing telemetry and control software for industrial robotics at UGA, then moved to Georgia Tech Research’s CIPHER Lab, working on cybersecurity and hardware evaluation research that protects critical infrastructure. He built the systems Jeff loves to break.\n\nWe both met in college as roommates and have been building software for eCommerce over the past 5 years.\n\n![uploaded image](/media/?type=post&id=94942&key=user_uploads/89898/c72d5644-48f3-49ed-b9fc-d804dc1f3a60)\n\n**🙏 Our Ask**\n\n* If you’re moving out, decluttering, or making extra money on the side selling stuff online, give SellRaze a try! Download at . \n* Can you introduce us to any individuals that earn most of their income through online e-commerce?\n* Can you introduce us to any retail/thrift/secondhand stores that are struggling with eCommerce that might be looking for a solution to streamline their process?\n\nContact us at [jeff@sellraze.com](mailto:jeff@sellraze.com)", "url": "https://www.ycombinator.com/launches/OhK-sellraze-sell-your-stuff-in-seconds", "votes": 237, "created_at": "2025-10-27T19:19:33.850Z" } ] }, { "id": 30888, "name": "Lakonia", "slug": "lakonia", "former_names": [ "Bucinator" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4443807fceed8c4c07d359095cd0ddfa3435352b.png", "website": "https://lakonia.us.com", "all_locations": "San Francisco, CA, USA", "long_description": "Lakonia is building an AI-powered command and control platform for law enforcement and the military. Our AI transcribes radio communications, analyzes them, and then synthesizes information for commanders/dispatchers and operators to act on.", "one_liner": "Delivering AI-powered situational awareness in tactical environments.", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1762149553, "tags": [ "GovTech", "NLP", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/lakonia", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lakonia.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lakoniatechnologies/", "x_url": "https://x.com/lakoniatech", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Lakonia-Technologies", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4443807fceed8c4c07d359095cd0ddfa3435352b.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": 2944902, "full_name": "Gordy Sun", "title": "Founder/CEO", "founder_bio": "Stanford EE CS, Ex-Saronic SWE Intern, 8VC Fellow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gordysun/", "x_url": "https://x.com/grdysun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5112e1eec872c8f5e452a8276abb3f1ad5dbdede.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95135, "title": "Lakonia: AI-Powered Tactical Command and Control Software", "tagline": "Lakonia is building the next generation of command and control software to enhance the operations of first responders, law enforcement, and the military.", "body": "Hi! We’re [Gordy](https://www.linkedin.com/in/gordysun/) and [Justin](https://www.linkedin.com/in/justin2028/). We’re excited to publicly announce what we’ve been building at Lakonia.\n\n**TL;DR:** Lakonia’s AI Command and Control platform acts as a tactical assistant by listening to radio communications and using AI to automatically extract key intel, map units, and recommend actions. We give first-responder, law enforcement, and military teams the situational awareness they need to make better, faster decisions.\n\nhttps://www.youtube.com/watch?v=DrVPw4CVzxU\n\n# **The Problem:**\n\nPolice and military command and control technology is terribly archaic and outdated. Commanders in a central post rely almost entirely on fragmented radio chatter to understand complex situations, forcing them to build a mental picture from scratch on every incident/situation. And current software is woefully outdated - unintelligent and unintuitive.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/726ea501-6ff8-446d-9b30-a7fc9a3028fd)\n\nThese issues only get exacerbated during multi-agency operations, where different departments (like SFPD and CHP), military branches, or even allied forces cannot communicate seamlessly. Communication siloes, different cultures of radio etiquette, chains of command, etc. all make command and control even more difficult.\n\nAnd while at times this is just a daily annoyance, when it’s a matter of life or death, these communication breakdowns become **fatal**.\n\n# **Lakonia’s Solution:**\n\nOlympus is an **intelligent, real-time co-pilot** that plugs into existing radio networks, transforming chaotic voice chatter into a **clear, actionable operational picture.**\n\nOur AI engine works in real time by:\n\n**- Transcribing and diarizing** every transmission to identify who said what\n\n**- Parsing transmissions** to analyze and automatically tag critical information - for example, pinpointing addresses on a map, logging license plates, and identifying calls for backup\n\n**- Highlighting** the most urgent events and suggesting relevant next steps, **turning raw audio into structured intelligence**\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/c78d42a9-f060-4024-a5e8-aac1466ad28d)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/4275d0a3-6853-4605-a15d-494eb39b5657)\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/23e29921-35dc-449d-aa21-ea8880019c80)\n\nWe’ve also built a **mobile “Pip-boy” platform** for operators to access so that they can also be aware of what’s going on aside from their radio. This dual approach dramatically reduces the cognitive load on personnel at every level, empowering teams to make faster, smarter, and safer decisions when it matters most. \n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/5f679af9-289c-4cfb-80f3-fc8ba440b2e0)\n\nFor dispatchers and commanders, our software means less time spent clarifying details or trying to keep track of officer availability and statuses. For operators in the field, our software means less time waiting for dispatch to respond and better situational awareness in tactical environments.\n\nWe built Olympus with a deliberate focus on security, performance, and scalability. We rely on **no third party APIs**, allowing us to even operate in denied environments through mobile platforms. We are at FedRamp and CJIS-equivalent levels of compliance, utilizing AWS GovCloud for services. All the models we use are open-source models we fine-tuned ourselves.\n\nThis modular foundation allows us to rapidly integrate new capabilities. Our future roadmap includes advanced features like live drone feeds, computer vision analysis, and real-time language translation.\n\n# **About Us:**\n\nWe’re two Stanford engineering students who left after our freshman year to go build the tools that our public safety and military teams deserve. In designing and building our platform, we were heavily inspired by RTS video games we’ve played as intuitive interfaces for delivering critical information to players. We wondered why law enforcement and the military don’t have similar tools and decided to go build them ourselves.\n\n![uploaded image](/media/?type=post&id=95135&key=user_uploads/2944902/353cbfd1-d5fd-42e6-9d2d-5abbe867d7bc)\n\n# **Our Ask:**\n\nWe are looking for introductions to innovative leaders in public safety and defense who want to utilize our platform.\n\nOur ideal contacts are decision-makers (e.g., Chiefs, Sheriffs, Commanding Officers, Heads of Security) in:\n\n* Law Enforcement (Municipal Police, Sheriff's Offices, Transit/Campus Police)\n* Military (Infantry, Artillery, Armor, National Guard, Special Operations units)\n* Emergency Services (Fire, EMS)\n* Private Security (Corporate campuses, large venues, critical infrastructure)", "url": "https://www.ycombinator.com/launches/OkR-lakonia-ai-powered-tactical-command-and-control-software", "votes": 82, "created_at": "2025-11-03T20:09:53.018Z" } ] }, { "id": 30889, "name": "Alder", "slug": "alder", "former_names": [ "Nivara AI", "Nivara", "Terrain", "Nivara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f394904d91685ab676105f88e9090848b7a6f1b2.png", "website": "https://meetalder.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building AI employees for finance teams. They handle repetitive work across email and accounting systems - processing documents, following up on open items, reconciling records, and resolving exceptions while people retain approval and oversight.", "one_liner": "AI employees for finance, starting with accounts receivable. ", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1761077242, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alder", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/alder.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nivara-hq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f394904d91685ab676105f88e9090848b7a6f1b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 153937, "full_name": "Tejas Agarwal", "title": "Founder/CEO", "founder_bio": "Building Alder, an AI employee for accounts receivable. Previously built the compliance systems that paid 5M+ Uber drivers weekly. Ex-Intuit QuickBooks, UW-Madison.\n\nPassionate about building great teams, and delivering value to users.", "is_active": true, "linkedin_url": "https://linkedin.com/in/teagarwal", "x_url": "https://x.com/teagarwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dea32f11ce722c286fe4379b20e9d6e0e512c8b7.jpg" } ], "jobs": [ { "id": 108089, "title": "Technical GTM / Founders Office Intern", "url": "https://www.ycombinator.com/companies/alder/jobs/rPtK6G4-technical-gtm-founders-office-intern", "location": "IN / Remote (IN)", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "₹40K - ₹100K INR", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [ "Python", "LLMs" ] } ], "news": [], "launches": [ { "id": 117263, "title": "Alder: the AI employee that gets you paid", "tagline": "Alder finds out why your cash is stuck and gets it moving", "body": "Hey everyone, I'm Tejas, founder of Alder. 👋\n\n**TL;DR: Alder is an AI employee for accounts receivable. It works your receivables like a great AR hire: it finds out why a payment is stuck, follows up with the right person, and gets it moving. Nothing goes to your customer without your OK.** \\\n\\\nOur ask: if your team spends time chasing invoices and getting paid, send them to us. We'll work them for you, free for two weeks. Book 30 minutes at [meetalder.com/demo](http://meetalder.com/demo?utm_source=launchyc) or email [founders@meetalder.com](mailto:founders@meetalder.com).\\\n\\\n**Invoices don't get refused. They get stuck.**\n\nIn the US, 43% of B2B invoice value is overdue at any given time, and another 5% gets written off. Most of it is stuck.\n\n\\- A PO number is missing, so the invoice can't be approved\\\n\\\n\\- The customer's AP portal rejected it, and the notice went to an inbox nobody checks\n\n\\- The AP contact left or is on leave, and nobody else owns it\n\n\\- \"It's on Friday's payment run\", and Friday comes and goes\n\nWe learned this the hard way selling to a large bank: our champion left, the AP team had never heard of our contract, the new contact went on maternity leave, and then someone needed two weeks to verify our bank details. Eight emails and one very polite phone call later, we got paid.\\\n\\\nUnsticking each invoice takes a person who can diagnose the blocker, find the new owner, send the right document, and remember what was promised three weeks ago. Today that's your AR team or an outsourced BPO, and most AR tools just help them track the work instead of doing it.\\\n\\\n[Meet Alder](https://www.youtube.com/watch?v=XTU1QKoMoU8) **- your AI accounts receivable employee:**\n\nWhat Alder does\n\n\\- **Knows what's outstanding.** Reads open invoices from your ERP, plus past replies, attachments, and incoming payments\n\n\\- **Diagnoses before it writes.** Works out why each invoice is late first\n\n\\- **Checks with you.** Anything customer-facing waits for your approval\n\n\\- **Does the work**. Follows up in the original email thread, submits and fixes invoices in Coupa and Ariba, tracks every promise to pay\\\n\\\n\\- **Tells you when it's done.** Posts to Slack as work completes, so you always know where every invoice stands.\\\n\\\n**Team**\\\nBefore Alder, I built compliance systems that paid 5M+ Uber drivers every week, so I've seen what happens when money has to move on rules. Agents are going to be very good at this work: it's repetitive, it runs on clear rules, and it needs someone who never forgets to follow up. More than $100 trillion in B2B payments moves every year. We’re starting with getting you paid, and Alder will take on more of the back office from there.\\\n\\\n**Try it:** We'll work your overdue invoices for **two weeks, free, no commitment**. Book 30 minutes at or email [founders@meetalder.com](mailto:founders@meetalder.com).", "url": "https://www.ycombinator.com/launches/UVL-alder-the-ai-employee-that-gets-you-paid", "votes": 6, "created_at": "2026-09-28T19:35:48.904Z" } ] }, { "id": 30890, "name": "AnswerThis", "slug": "answerthis", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7447a5f4c087378428be2bea5adcf3daf4a4e9e8.png", "website": "https://answerthis.io/", "all_locations": "San Francisco, CA, USA", "long_description": "AnswerThis is a scientific discovery platform used by over 200,000 researchers that reduces weeks of manual research work to hours. \r\n\r\nInstead of manually searching, reading, and organizing dozens of papers, researchers use AnswerThis to find the most relevant work, see how ideas are connected, and get comprehensive answers to complex scientific questions with line by line answers. \r\n\r\nThis allows them to map research gaps, analyze trends, and draft literature reviews far faster, all while building a searchable library of their own research materials. ", "one_liner": "End-to-end workspace to accelerate scientific discovery", "team_size": 6, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1758990937, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "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": "Ayush grew up watching his mother, a researcher, spend countless hours buried in papers under constant deadline pressure. When he began publishing his own peer-reviewed research, he ran into the same inefficiencies firsthand.\r\n\r\nSince age 16, he had been building tools to make research faster, including _pygetpapers_ for automated research paper downloads, software to standardize ethics statements in medical research, and a parser for IPCC climate reports.\r\n\r\nMeanwhile, Ryan was taking his own entrepreneurial path. In high school he co-founded _Crackin’ Coffee_, a subscription startup that shipped boxes from local roasters to customers in ten countries. He later sold Instagram management services and built Deep Point Lab, which grew to $8k MRR by selling websites and marketing services to small businesses. Those early ventures gave him a foundation in sales, user psychology, and scrappy execution.\r\n\r\nThe release of large language models marked an inflection point. Ayush and Ryan, who by then were roommates and best friends in college, realized they could finally tackle research inefficiency at scale. They teamed up to build AnswerThis.\r\n\r\nFrom launch, researchers subscribed immediately. Many reported that AnswerThis helped them finish theses in weeks instead of months and raised the quality of their work by making far more prior research accessible." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long-term vision is grounded in two fundamental truths that deeply motivate us: humanity must become a multiplanetary species, and humans must live longer, healthier lives. Both goals require a dramatic acceleration in scientific progress. That is what we are building AnswerThis to enable.\r\n\r\nWe are starting with research papers and academia, but our ambition is to expand across all knowledge formats and empower every kind of knowledge worker. Research will no longer be buried in static PDFs, and discovery will not be limited to PhDs. Scientists will be empowered by adaptive tools instead of held back by software that has not changed in a decade.\r\n\r\nIf we truly succeed, science itself will move faster. The barriers to accessing, understanding, and applying knowledge will collapse, and the pace of discovery will match the urgency of humanity’s biggest challenges." } ], "url": "https://www.ycombinator.com/companies/answerthis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/answerthis.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/answerthis/", "x_url": "https://x.com/answerthisio", "fb_url": "https://www.facebook.com/AnswerThis.go", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7447a5f4c087378428be2bea5adcf3daf4a4e9e8.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/30947/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022731Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJHMEUCIQDeV7cQCYWa%2ByyakJaw7aH8e0HNWEyd2tO1Fn9KHjIpkgIgJPUveNomWrSf4Oq5DPuVDY7LKeaNJPvi5F2sbSx87Hoq5QMIOhAAGgwwMDYyMDE4MTEwNzIiDJ7%2FkqUU8p5mIeDC5CrCA7F4UggTYlVYiff4mYkoYiIpXa9r%2FKkUhcKwMNwtYpcuNTEBtH5xi9Hzkl3B%2FOYmUn%2FIacrdemsB9KrtOuRo%2FccaY%2Bs%2FSuIzime%2BcYuI7%2B%2Fg2nldjcm7YPCf32sIR8EflXc2916%2FDRMbztsRKDiQDL1ZKbK6YPHJppiQyVyRrrcCFD0X7tEf0D7QgK2DIpKnu8zGLzN4oAHn6xfHIgQnynrupcJbc9cga5AURtsRl7TfSM6XaGTtp1fNogyhUKX9f%2FYIL2pg03nlhLpRpDuqHpJ9qbbVsf%2FvboDHQ4IRRkiCaWH6GZwuTm%2FaXzTPIrAlVKH5%2F0RNaaExh%2Byw4VhHEEsSkHSs4mw%2BmNAKnW2FnWuldPRw5kn3j05dqhv5fkQxdp74JTYQe5wex1YN5PCok147bSKEuieYlIgH%2FiP9NY3Ym0ZRUWuo0zL40XWv9X3L1tLg%2BYWY0fCdhDKHGgTuesmbVajzEhu%2Bg9iWLptoK63cZ4UfO8oOd6sOc09XF6lBy%2BmD%2BSVmOfDWUOzz5ELD16slDTUwml0MZsttBoLDzldUc0olkl5nCAl23UqraiUXeaeW3yLOvJn%2BAD%2B%2FM6PvmZF0VzDn%2FdrWBjqlAVRsuTd0UsfPEqyKlBgBcSJTbWkHvSj10wzTCIqvOoZ3bz1TWza43iHLTCs7u%2FHmvoKE0qG5FTOsMYhLZb5XFdRretuo%2F1BjdoZt%2Fr0dHWGT4LLkmfYrkFclUq7u0pvMr6%2FR4I41ZYdCD3cWpGAcOrCQxKJukkkU%2Fx4O0IOnvZKvXzK4OISHe4XPgWQrnAJcSBOFX%2BXRwhpFbVXOOC%2BtEw%2BR3JTElw%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=ddad40b62fb7abd7270f85c2eacdfba2d4338a7fd8c3db5e9ca7ae0d806a3557", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1865432, "full_name": "Ayush Garg", "title": "Founder/CEO", "founder_bio": "Founder @ AnswerThis. Deeply passionate about accelerating humanity's scientific progress (and GTM & Tech!) ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayush4921/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd86db276bec92ff8fd4890d10f2cb50d92ba8a3.jpg" }, { "user_id": 2675762, "full_name": "Ryan McCarroll", "title": "Founder/CMO", "founder_bio": "I’m Ryan McCarroll, CMO and co-founder of AnswerThis. I grew up in Northern Ireland and have built and scaled multiple ventures until joining AnswerThis. \n\nSpeed up humanity's progress and research with stellar speed and accuracy with AnswerThis! ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-mccarroll-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9c981b3123b5b454b6ecfdc89ce9ef74a7908be.jpg" } ], "jobs": [ { "id": 87988, "title": "AI agent orchestration ", "url": "https://www.ycombinator.com/companies/answerthis/jobs/r5VHmSC-ai-agent-orchestration", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Python", "Microservices", "Next.js", "Prompt Engineering" ] }, { "id": 92160, "title": "Founding Engineering Lead", "url": "https://www.ycombinator.com/companies/answerthis/jobs/CNdatw5-founding-engineering-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $240K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 100954, "title": "Product Engineer (Full-Time, Remote — India)", "url": "https://www.ycombinator.com/companies/answerthis/jobs/GQBe22o-product-engineer-full-time-remote-india", "location": "IN / Remote (IN)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "₹2M - ₹3.5M INR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Python", "React", "Docker", "Next.js", "LLMs" ] }, { "id": 101093, "title": "Founding BDR (In-Person, San Francisco)", "url": "https://www.ycombinator.com/companies/answerthis/jobs/sDqFkif-founding-bdr-in-person-san-francisco", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $150K", "equity_range": "0.20% - 0.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107793, "title": "Growth Lead | Paid Acquisition + SEO/AEO", "url": "https://www.ycombinator.com/companies/answerthis/jobs/ZQJF8tU-growth-lead-paid-acquisition-seo-aeo", "location": "Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95086, "title": "AnswerThis: The AI Research Assistant", "tagline": "Scientific discovery platform that reduces months of manual research work to hours.", "body": "Hello YC! We’re [**Ayush Garg**](https://linkedin.com/in/ayush4921) and [**Ryan Mccarroll**](https://www.linkedin.com/in/ryan-mccarroll-/) from [**AnswerThis**](https://answerthis.io/)**.**\n\n**TL;DR**\n\nAnswerThis analyzes all the relevant research in your field to answer complex scientific questions with line-by-line citations. Over 250,000 researchers have saved months on their literature reviews using AnswerThis, making it one of the fastest-growing apps in the research space.\n\nhttps://www.youtube.com/watch?v=nKTS2QWnjqw\n\n**Problem**\n\nOver 5 million research papers are published every year. Researchers spend months crawling through academic databases to conduct their literature reviews. By the time they finish, new literature has often been published.\n\nWhen they finally have their literature collected, they must read dense papers while taking detailed notes. If they want to explore a new aspect of the topic, they have to repeat the process, making it difficult to advance science quickly.\n\nOnce they have their notes, synthesizing the findings into a detailed literature review requires precision, highly accurate citations, and concise but informative scientific writing. \n\nThis entire process is extremely time consuming, and takes away from actual experimentation. \n\n**Solution**\n\nEnter your question, select your filters, and AnswerThis searches multiple academic databases to answer it with exact citations to every relevant paper. The literature review that took months, now takes minutes.\n\nYou can save the sources, analyze them, and write with our AI assistant on a single platform while collaborating with your team. \n\nWe also integrate with tools researchers already use, like Zotero and Mendeley, and we offer advanced exports that correctly carry over citations and equations.\\\n\\\n**The user is able to verify each source, and save it to their AnswerThis library:**\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/9de71f23-808b-4153-9713-43054d59498e)\n\n**Our story**\n\nAyush, the son of two PhD scholars, began publishing peer-reviewed articles at 16, with early work in natural language processing focused on parsing scientific literature.\n\nRyan, who leads product and growth, started selling products at 17 and scaled multiple Instagram accounts to hundreds of thousands of followers.\n\nTogether, they bring a blend of research depth and growth expertise, united by a passion for accelerating scientific discovery.\n\n**In the last two months, AnswerThis has answered over 250,000 scientific queries!**\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/7e97a799-80db-4dd8-a75b-3d852253cca8)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/bea80570-595b-493b-9b97-f52d94354908)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/f34289f2-c190-41a3-8927-a953f191f332)\n\n**Our ask**\n\nIf you’re a researcher or just want to try the product, please visit [**AnswerThis.io**](http://AnswerThis.io). We’d value your feedback.\n\nWe’d also welcome introductions to:\n\n* Post-clinical-trial researchers conducting literature screening\n* Directors at academic labs\n* Medical Directors\n\n**Contact:**\n\nAyush Garg: [Ayush@AnswerThis.io](mailto:Ayush@AnswerThis.io)\n\nRyan Mccarroll: [Ryan@AnswerThis.io](mailto:Ryan@AnswerThis.io)\n\n![uploaded image](/media/?type=post&id=95086&key=user_uploads/1865432/1bb9e966-3ed9-4ae2-b4f2-0e0555e8fb5d)\n\n", "url": "https://www.ycombinator.com/launches/Oje-answerthis-the-ai-research-assistant", "votes": 26, "created_at": "2025-11-01T05:12:59.911Z" } ] }, { "id": 30891, "name": "SF Tensor", "slug": "sf-tensor", "former_names": [ "Emma Lang" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/524a578009f692a6daadfe853089aabd437361d4.png", "website": "https://sf-tensor.com", "all_locations": "San Francisco, CA, USA", "long_description": "AI researchers should be pushing the boundaries of what's possible with new architectures and training methods. Instead, they waste weeks configuring cloud infrastructure, debugging distributed systems, and optimizing their GPU code. We know because we lived it: While training our own models across thousands of GPUs earlier this year, we spent more time fighting our infrastructure than doing actual research.\r\n\r\nThat's why we're building two things. First, Elastic Cloud: a managed platform that automatically finds the cheapest GPUs across all providers, handles spot instance preemption, and cuts compute costs by up to 80%. Second, automatic kernel optimization that makes training code run faster by modeling hardware topology, often beating hand-tuned implementations.\r\n\r\nThe problem is that getting high performance across different hardware is genuinely hard. NVIDIA's CUDA moat exists because writing fast kernels requires deep expertise. Most teams either accept vendor lock-in or hire expensive kernel engineers. Our goal is to break the CUDA moat.\r\n\r\nThe compute bottleneck is the biggest constraint on AI progress. NVIDIA can't manufacture enough GPUs, and their monopoly keeps prices astronomical. Meanwhile, AMD, Google, and Amazon are shipping capable alternative hardware that nobody uses because the software is too hard. We're breaking that moat. If we succeed, anyone will be able to train state-of-the-art models without thinking past their PyTorch code.", "one_liner": "Infrastructure for AI labs to focus on research.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759869599, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "AI labs and startups should focus on breakthrough research—new architectures, training methods, the stuff that ends up in papers. Instead, they burn countless hours configuring cloud infrastructure, debugging distributed training, and negotiating GPU deals. \r\n\r\nWe know because we lived it. While training our own models, we realized we were spending 60% of our time on infrastructure and 40% on actual research. Talking to other teams, we found everyone had this problem. Small labs can't afford dedicated infra teams. Large labs waste research talent on DevOps. \r\n\r\nThis infrastructure tax is holding back AI progress. We decided to eliminate it. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Today, wanting performance means vendor lock-in to NVIDIA. This creates artificial scarcity: limited production capacity, sky-high prices, and compute monopolies. By making all hardware from AMD GPUs, TPUs, Trainium, whatever comes next, equally usable, we'll unlock massive new supply. \r\n\r\nIn this world, anyone can train state-of-the-art models without ever thinking past their PyTorch code. Startups won't need infrastructure teams. Researchers won't waste time on cloud configuration. CEOs won't negotiate GPU rental deals. \r\n\r\nCompute will be abundant, cheap, and boring. And AI research will accelerate because researchers can finally focus on research. " } ], "url": "https://www.ycombinator.com/companies/sf-tensor", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sf-tensor.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sftensor", "x_url": "https://x.com/sftensor", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/524a578009f692a6daadfe853089aabd437361d4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7e659378c5c5a70743e5b31b622c4c3b3290052e.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 801244, "full_name": "Ben Koska", "title": "Founder/CEO", "founder_bio": "Optimizing GPU Kernels @ SF Tensor.", "is_active": true, "linkedin_url": "https://linkedin.com/in/benkoska", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4a10b316ffce1af2d91c7b1b1b9437750e1c061.jpg" }, { "user_id": 2951036, "full_name": "Luk Koska", "title": "Founder/CTO", "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukkoska/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b168f5b428a864b72da162887ae641d20539b7bf.jpg" }, { "user_id": 2950892, "full_name": "Tom Koska", "title": "Founder", "founder_bio": "Optimizing AI infrastructure @ SF Tensor (F25).\nFinished BSc in CS @ age 16", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomkoska/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/316bba78559c885b37648ceb2d2d637aa0bdf655.jpg" } ], "jobs": [ { "id": 107006, "title": "Member of Technical Staff, Product Engineering", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/gkuqeM2-member-of-technical-staff-product-engineering", "location": "San Francisco", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$225K - $275K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 107007, "title": "Member of Technical Staff, Sandbox Infrastructure", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/plO372C-member-of-technical-staff-sandbox-infrastructure", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$275K - $315K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107008, "title": "Member of Technical Staff, Post-Training & Applied Research", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/IgxqFjw-member-of-technical-staff-post-training-applied-research", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$275K - $315K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107009, "title": "Member of Technical Staff, GPU Kernels", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/1zQSFYC-member-of-technical-staff-gpu-kernels", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$285K - $315K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107010, "title": "Member of Technical Staff, GPU Compiler", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZJL2GLy-member-of-technical-staff-gpu-compiler", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$285K - $315K", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107011, "title": "Member of Technical Staff, AI-Driven Compilation", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/ZvA4OCy-member-of-technical-staff-ai-driven-compilation", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$275K - $315K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112314, "title": "Member of Mathematical Staff", "url": "https://www.ycombinator.com/companies/sf-tensor/jobs/abpmgWv-member-of-mathematical-staff", "location": "San Francisco", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$225K - $315K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95098, "title": "SF Tensor - Infrastructure for the Era of 
Large-Scale AI Training ⚡", "tagline": "We tweak kernels to squeeze out extra speed, hunt down the cheapest GPUs across every cloud and make your models train on any hardware. Train frontier models without the DevOps nightmare. ", "body": "Hey everyone 👋 \n\nWe’re [Ben](https://www.linkedin.com/in/benkoska/), [Tom](https://www.linkedin.com/in/tomkoska/) and [Luk](https://www.linkedin.com/in/lukkoska/) - co-founders of SF Tensor. \n\n**TL;DR:** We let AI researchers forget about the infrastructure layer and focus on their research. \n\nWe automatically optimize kernels to run faster, find the cheapest GPUs across every provider and migrate your jobs when spot instances fail. Training AI should be about AI, not DevOps. \n\n**_Ask:_** Know anyone training or fine-tuning AI models? We’d be grateful for an intro! Reach out to us at [founders@sf-tensor.com](mailto:founders@sf-tensor.com). \n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/994bfb29-1b66-4506-86bd-8b3d0197eff4)\n\n## **The Problem**\n\nTraining AI should mean developing smarter architectures and finding better data. But right now, it doesn’t. Teams waste their time on everything but actual research: \n\n* Optimizing code so that training runs don’t drain the bank \n* Fighting cloud providers and scrambling for GPU availability \n* Making distributed training work with reasonable MFU (=cost efficiency).\n\nThis drives up costs, frustrates everyone and kills velocity. Infrastructure has inadvertently turned into the limiting factor for AI research labs, and it’s killing progress.\n\nWe experienced this first-hand developing our own foundation models – what we expected to be AI research, experimentation and iterative improvement turned out to be an ugly mix of writing CUDA, debugging driver mismatches and optimizing inter-GPU collective operations. That’s why we decided to solve the infrastructure layer, to allow other researchers to **focus on research, not infrastructure**.\n\n## **Our Solution**\n\nSF Tensor is the \"set it and forget it\" infrastructure layer for anyone training or fine-tuning AI models. Hook up your repo, pick your GPU count and budget, and we deal with the rest:\n\n* Our automatic kernel optimizer analyzes your architecture and tunes execution for any hardware (NVIDIA, AMD or TPUs). No more having to drop down into custom CUDA because PyTorch doesn’t understand memory topology. \n* We find the cheapest available compute across all clouds for your specific requirements and launch your training run. \n* Automatic Distributed Training allows you to scale from 1 to 10,000 GPUs without having to change your code or killing your MFU \n* Everything else that you shouldn’t have to think about: Spot instance migration? Handled. Monitoring? Baked in. Logs and artifacts? Done.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/89170605-19e4-4029-87dd-7a3fa85cc9df)\n\n## **The Team**\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/519e2798-579a-43e1-8c96-28f3be87a392)\n\nWe’re 3 brothers that have been working on Artificial Intelligence together for years, most recently training our own Foundational World Models. SF Tensor was born out of our own needs as AI researchers scaling up training runs to thousands of concurrent GPUs.\n\nBen has been publishing AI research since high school, solo-training models across 4,000 GPUs as co-PI on a 6-figure grant.\n\nTom and Luk (twins btw) have been doing AI research for years, from starting college in parallel to high school at age 14 to finishing their BSc in CS (at age 16).\n\n## **Compute should be boring. Let’s make it boring.**\n\nTry us right now at [sf-tensor.com](http://sf-tensor.com) or contact us at [hello@sf-tensor.com](mailto:hello@sf-tensor.com) to see how we can help with your infra pains.\n\n![uploaded image](/media/?type=post&id=95098&key=user_uploads/801244/3ca5b95d-168d-402c-a899-5a42965ee527)\n\n", "url": "https://www.ycombinator.com/launches/Ojq-sf-tensor-infrastructure-for-the-era-of-large-scale-ai-training", "votes": 23, "created_at": "2025-11-04T18:36:08.802Z" } ] }, { "id": 30894, "name": "Unsiloed AI", "slug": "unsiloed-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png", "website": "https://www.unsiloed.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "AI teams spend 6+ months building document workflows, yet fewer than 10% ever reach production. Generic LLM parsers and OCR collapse on multimodal documents with text, tables, images, and charts. Poor parsing and suboptimal chunking cripple RAG pipelines and downstream automation. Unsiloed AI has built state-of-the-art vision models which serves as the infrastructure layer for turning unstructured data into structured, queryable, and LLM-ready assets.\r\n\r\nOur APIs are already parsing hundreds of thousands of documents for startups and NASDAQ-listed enterprises, powering vertical AI solutions across industries. On public benchmarks, Unsiloed AI consistently outperforms solutions from LlamaIndex, Gemini, Mistral, and Unstructured.io among others.", "one_liner": "API for parsing multimodal unstructured data", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759119503, "tags": [ "B2B", "Infrastructure", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/unsiloed-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/unsiloed-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/unsiloed-ai", "x_url": "https://x.com/UnsiloedHQ", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/unsiloed-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f9f85fd135a735334483a66e34f7d25f1c8f535c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/078b943a7238682920862bf5368e98a5b340997d.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 879419, "full_name": "Aman Mishra", "title": "Founder/CEO", "founder_bio": "Co-founder at Unsiloed AI • IIT Kharagpur\n\nPreviously built an ultra low-latency trading system moving billions at a hedge fund. Founding Engineer (#1) at an SF-based startup building AI copilots for firms like Goldman Sachs and Charles Schwab. Launched a P2P rental platform from my dorm room, scaling it to thousands of orders within 2 months of operation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aman005/", "x_url": "https://x.com/__Aman_Mishra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4bb76f1ec54978aaf3cce9053ad7e1808c01338.jpg" }, { "user_id": 2381336, "full_name": "Adnan Abbas", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Unsiloed AI • MIT • IIT Kharagpur\n\nBuilt multi-modal models deployed at a Fortune 10 company. Was building autonomous navigation systems at Mercedes Benz. Launched India’s first Web 3.0 audio app while in college, scaling it to thousands of users within a month.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adnan-abbas-903b711a2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5d0a35df645a59a83211a7fc63a99585bff4b90.jpg" } ], "jobs": [ { "id": 87605, "title": "Founding Software Engineer - Backend and Infrastructure", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/cmlq27S-founding-software-engineer-backend-and-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $300K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 87808, "title": "Founding ML Researcher", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/SJCT4d4-founding-ml-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Torch/PyTorch", "CUDA", "Computer Vision", "Data Analytics" ] }, { "id": 95433, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/unsiloed-ai/jobs/ePft6Ux-founding-gtm-lead", "location": "San Francisco, United States", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95076, "title": "Unsiloed AI: Make Unstructured Data LLM-Ready", "tagline": "We build APIs to parse multimodal unstructured data and convert it into LLM-ready formats. Our vision is to make documents as computable and queryable for AI Agents as your data sitting in an RDS.", "body": "Hey YC, we are [Aman Mishra](https://www.linkedin.com/in/aman005/) and [Adnan Abbas](https://www.linkedin.com/in/adnan-abbas-903b711a2) from [Unsiloed AI](https://www.unsiloed.ai/).\n\n**TL;DR:** _Unsiloed AI is building the most accurate APIs for ingesting multimodal unstructured data like PDFs, PPT, DOCX, tables, charts, and images, and converting it into structured Markdown and JSON for downstream LLMs and AI Agents._\n\nWe are already processing millions of pages of complex documents each week for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups in accuracy-sensitive domains like finance, legal, and healthcare.\n\nhttps://youtu.be/ULDK5dgfgzM\n\n**The Problem**\n\nMore than **80% of enterprise data is multimodal and unstructured**. AI teams spend **6+ months** building accurate document‑ingestion pipelines that keep breaking.\n\n* From the tons of open‑source solutions out there, it’s still tough to achieve superior accuracy on even mildly complex cases.\n* Traditional OCRs are static and break with changing layouts.\n* LLMs, although good at comprehension, suffer at **deterministic extraction**, making them unreliable for accuracy‑sensitive domains like finance and healthcare.\n* Early‑stage vertical AI teams end up becoming **document AI companies**, reinventing the wheel, as evident from **300+ conversations** we’ve had with AI teams of all sizes.\n\n**Solution (What we built)**\n\nWe combine **vision models** with **OCR‑based models** to accurately extract information from complex documents.\n\n**1) Pre‑processing & Segmentation**\n\n* We segment data into **texts, tables, images, and plots** using specialized models for each task.\n* We use a **heatmap‑based chunking** technique that first generates **pivot elements** from the document. Pivot elements are the elements of importance, e.g., **numbers and merged cells in tables**.\n* This chunking strategy ensures all related pieces of information are preserved in the **same chunk** (e.g., a table spanning multiple pages, rows split across pages), while unrelated information is split across chunks. The result: retrieval feeds **only accurate, complete‑context chunks** to LLMs.\n\n**2) Dual‑Stream Representation**\n\nPost pre‑processing, we pass the segmented chunks through **two parallel streams**:\n\n* **Data Stream:** preserves the **extracted content**.\n* **Layout Stream:** preserves the **actual layout & hierarchy** (indentation, alignment, clause/sub‑clause structure).\n\nThis matters because the data is not just text and numbers the **structure carries meaning** (e.g., a right‑aligned cell in a financial table or the way clauses/sub‑clauses are arranged). The dual stream captures both **semantic content** and **structural cues**.\n\n**3) Domain‑Specific Decoder**\n\n* A decoder consumes both the streams and structures the outputs as per the required **JSON schema** or **Markdown**.\n* We incorporate **domain‑specific ontologies** (finance, healthcare, legal).\n* An in-built **RL pipeline** to train the decoder when outputs involve internal terminology that is hard to capture using a general LLM.\n* We generate **confidence scores** for each extracted item; **low‑score items** are collected over time to run **fine‑tuning jobs**\n\nWe can run all of this under fully air-gapped on-premise environments as well for privacy-sensitive verticals.\\\n\\\n**Here are some sample outputs generated by our Vision Models:**\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/fdfed5e7-994a-47d3-9357-b20b1d2a3b67)\n\nPIE Chart formatted markdown\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/7e78481c-6898-4bfe-a6d8-c49ada7cef52)\n\nJSON output from handwritten, scanned docs, along with confidence scoring and citations.\\\n\\\n**Our Progress:**\n\nWe are already processing millions of pages for Fortune 150 banks, NASDAQ‑listed companies, as well as early‑stage startups (including 10+ YC startups) across finance, legal, and healthcare. On public benchmarks, we consistently outperform solutions from LlamaIndex, Gemini, Mistral, and [**Unstructured.io**](http://Unstructured.io)**,** among others.\n\nHere is a representation of the volume of pages we have processed, stacked on top of each other.\n\n![uploaded image](/media/?type=post&id=95076&key=user_uploads/879419/849f06b2-5d8d-4c77-8b73-40f6661a3f92)\n\n**Our Ask:**\n\nParsing **PDFs, images, PPTs,** or **Excel files** for your **Vertical AI** use case or **RAG** pipeline? Give [**Unsiloed AI**](https://www.unsiloed.ai/) a try. We turn months of ingestion work into one API call for every document type.\\\n\\\nSign up on [**unsiloed.ai**](http://unsiloed.ai) to give it a try (no credit card needed)\\\n\\\n**For any queries or feedback**:\\\n\\\nShoot us an email at [**founders@unsiloed.ai**](mailto:founders@unsiloed.ai) \\\nPing on WhatsApp/iMessage at +1 415 996 5878 (Aman)\\\nWebsite: [**https://www.unsiloed.ai/**](https://www.unsiloed.ai/)", "url": "https://www.ycombinator.com/launches/OjU-unsiloed-ai-make-unstructured-data-llm-ready", "votes": 52, "created_at": "2025-10-31T20:18:08.350Z" } ] }, { "id": 30895, "name": "Allus AI", "slug": "allus-ai", "former_names": [ "Allus AI Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "website": "https://allus.ai", "all_locations": "Atlanta, GA, USA", "long_description": "Allus builds next-gen vision foundation models that bring real intelligence to manufacturing. Enabling factories to see, understand, and improve production in real time. ", "one_liner": "Transforming manufacturing with our next-gen Vision Foundation Model", "team_size": 6, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761108820, "tags": [ "Machine Learning", "SaaS", "Computer Vision", "Manufacturing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/allus-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/allus-ai.json", "year_founded": 2025, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/allus-ai/", "x_url": "https://x.com/allus_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e556d72ba8162e6d77731f52ccea802c98b54fa3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/19ed8bfd28856edefbda0d3ee4d4d3017054ed8a.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02b1652b4ead3ef7bd979f7db3e7461b111e93bf.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1667481, "full_name": "Kai Cui", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Allus AI. BS + MS in CS from Georgia Tech. Building vision foundation model to transform manufacturing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaixiang-cui", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d012cfddf81fb9af30743cc5270cb84579450398.jpg" }, { "user_id": 2667730, "full_name": "Zhisen An", "title": "Founder/COO", "founder_bio": "Co-Founder @ Allus AI Inc. | MS CS @ GaTech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhisenan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d36b723641b04f1a88fef304237446298bdc8919.jpg" }, { "user_id": 2673772, "full_name": "Shijie Wang", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Allus AI | CS @ Georgia Tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shijiew/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26e530b95b0469b4c70162d6c284bcf3d4df99b7.jpg" } ], "jobs": [ { "id": 92048, "title": "Founding AI Agent Engineer", "url": "https://www.ycombinator.com/companies/allus-ai/jobs/AcYMVC9-founding-ai-agent-engineer", "location": "Cupertino, CA, US / Atlanta, GA, US / Remote (CA, US; GA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $200K", "equity_range": "0.30% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Node.js", "Python", "React", "Redis", "Rust", "TypeScript", "SQL", "Docker", "Software Architecture" ] } ], "news": [], "launches": [ { "id": 95347, "title": "Allus AI — Vision Foundation Model for Manufacturing", "tagline": "Bringing real intelligence to factories", "body": "Hi YC,\n\nThis is [Kai](https://bookface.ycombinator.com/user/1667481), [Shijie](https://bookface.ycombinator.com/user/2673772), and [Jason](https://bookface.ycombinator.com/user/2667730), cofounders of Allus AI.\n\nWe’re building a vision foundation model for manufacturing.\n\n**TL;DR**: Traditional manufacturing vision systems are slow, complex, and expensive. Allus delivers a million-dollar vision solution in minutes.\n\nhttps://www.youtube.com/watch?v=pNV7Ekyzfm0\n\n**A Vision Foundation Model for Manufacturing**\n\nAllus is a 1B parameter vision foundation model trained on over 1.5 billion industrial, robotics, and manufacturing data pairs collected over five years. It achieves state-of-the-art accuracy in defect detection (> 99.95%) and process monitoring (> 99.2%).\n\nAllus understands manufacturing the same way ChatGPT understands language. The dataset we used to train Allus is more than 100x larger than comparable industrial datasets, giving Allus a strong baseline familiarity with the entire factory ecosystem, including machines, people, and processes.\n\nToday 95% of manufacturers still rely on manual inspection to detect defects and monitor process compliance on the factory floor. This work can be automated with computer vision, but these solutions are domain-specific, take months to implement and cost millions of dollars. \n\nWith our implementation agent, Allus can be trained to handle specific use cases in only a few minutes using a small number of reference examples. \n\nIn the last three months, we’ve deployed it on production lines run by five global fortune 500 manufacturers, where we’ve been able to improve defect detection accuracy in some cases by more than 100x.\n\n**Our Team**\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/c1a959c6-45ec-441b-b904-0ef212f17f53)\n\nWe combine cutting-edge AI with challenges that have troubled manufacturing for over a century. Kai, Shijie, and Jason began exploring how AI could empower industry while studying at Georgia Tech. Kai comes from a family deeply rooted in manufacturing and grew up in factories, managing production for IPhone back panel at the age of 18. Shijie previously worked as an LLM scientist at NVIDIA Lab, where he gained firsthand insight into the pain points of manufacturing. Jason has always operated on the front lines of industrial enterprises and developed universal solutions for robotics companies.\n\n**Ask**\n\nWe’re working with manufacturers across the globe, from electronics and automotive to food & beverage, FMCG, and high-performance materials.\n\nIf you want to bring intelligence to your factory, talk to us!\n\n👉 [Allus.ai](http://Allus.ai)\n\n📧 [kai@allus.ai](mailto:kai@allus.ai)\n\n![uploaded image](/media/?type=post&id=95347&key=user_uploads/1667481/802e4649-e04c-4d8f-beec-a357eef0f593)\n\n", "url": "https://www.ycombinator.com/launches/Onr-allus-ai-vision-foundation-model-for-manufacturing", "votes": 282, "created_at": "2025-11-10T07:02:52.620Z" } ] }, { "id": 30896, "name": "Multifactor", "slug": "multifactor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b22602dcf84ece0389bd7a801525177573cf75ba.png", "website": "https://multifactor.com", "all_locations": "San Francisco, CA, USA", "long_description": "The agentic era is here, but its foundation is dangerously insecure. A growing number of high-profile \"AI agent gone rogue\" security incidents make headlines each week.\r\n\r\nAs enterprise adoption of agentic software has far outpaced the development of applicable cybersecurity solutions, CISOs have loudly voiced a growing need for verifiable, fine-grained security controls on complex multi-agent systems. That's why we built Multifactor.\r\n\r\nMultifactor offers best-in-class authentication, authorization, and auditing technologies for agentic systems, allowing users to securely and revocably share online accounts with agents while maintaining fine-grained permissions and a detailed event history. We are doing for AI security what Cloudflare did for web security, Okta did for identity security, and Wiz did for cloud security: defining the category.\r\n\r\nA world-class \"account manager\" that allows agents to securely use online accounts on your behalf is just the start—our early enterprise partners include companies using AI agents to manage $7.5+ billion manufacturing supply chains, where the consequences for lapses in security are severe. Our patented AI security technology seamlessly integrates with existing agentic software to thwart attacks like prompt injection, so CISOs and end users alike can breathe a sigh of relief, without slowing the pace of AI adoption.", "one_liner": "Zero-trust authentication, authorization, and auditing for AI agents", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1758318085, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/multifactor", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/multifactor.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/multifactorcom", "x_url": "https://x.com/multifactorcom", "fb_url": "https://www.facebook.com/multifactorinc", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b22602dcf84ece0389bd7a801525177573cf75ba.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": 2875344, "full_name": "Vivek Nair", "title": "Founder/CEO", "founder_bio": "Former CIA agent and Technical Lead for elite cyber units of the CIA & DOD. Youngest ever Ph.D. in Computer Science from UC Berkeley. NSF, NPSC, and Hertz fellow. Winner of the CIA's Exceptional Performance Award for extraordinary contributions to US national security.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nair/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cb961cfd0982ca0cd0ed93c6f045e1cb3b432e00.jpg" } ], "jobs": [], "news": [ { "title": "A.I. Deal Making Is Getting Faster - The New York Times", "url": "https://www.nytimes.com/2025/12/04/technology/ai-deal-making-faster.html", "date": "Dec 04, 2025" }, { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch", "date": "Nov 13, 2025" }, { "title": "Hertz Foundation Entrepreneurship Award Goes to Vivek Nair for AI Cybersecurity Startup - Hertz Foundation", "url": "https://www.hertzfoundation.org/news/hertz-foundation-entrepreneurship-award-goes-to-vivek-nair-for-ai-cybersecurity-startup/", "date": "Sep 19, 2025" } ], "launches": [ { "id": 95453, "title": "Multifactor: A password manager built for secure sharing with humans & AI", "tagline": "Multifactor lets you share online accounts securely without exposing passwords, just by sending a link. Import from LastPass, Apple, or Google with one click, then let humans and AI agents use your accounts on your behalf.", "body": "### Explainer Video\n\nhttps://www.youtube.com/watch?v=lug9O3BK7ok\n\nMultifactor is building the future of zero-trust authentication, authorization, and auditing for AI agents.\n\nToday, we’re excited to launch the best new way to securely share online accounts with humans and AI agents alike. Multifactor turns any online account into a “checkpoint link,” making secure and revocable account sharing as easy as sharing a Google doc.\n\n### FAQs\n\n**🧑‍💻 Who are we?**\\\nVivek Nair, co-founder & CEO, is a Ph.D. computer scientist and former CIA officer. Colin Roberts, co-founder & CTO, is a Ph.D. mathematician and former NASA scientist. We’re both passionate about usable security, with over a decade of cybersecurity experience.\n\n**🤔 What can I use it for?**\\\nOne of our investors uses the app to share email and calendar access with a rotating team of personal assistants without worrying about unauthorized edits.\\\nOur friend who is a financial advisor uses Multifactor to manage their clients’ brokerage accounts without needing their passwords.\\\nOur colleague uses Multifactor to share Instacart and Netflix accounts with her roommates while being able to easily add and remove people.\n\n**⏳ Why now?**\\\nWith increasing adoption of passkeys, biometrics, and MFA, accounts are getting more secure but harder than ever to share. Sharing conventional accounts with non-human actors (like AI agents) is also an emerging need that current solutions fail to address.\n\n**🔜 What’s next?**\\\nMulti, our AI assistant specializing in secure online account use, is right around the corner, with API access for developers coming shortly thereafter. The version you’re using today will always be free, but an enterprise plan with advanced features is coming soon.\n\nOur world-class \"account manager\" that allows agents to securely use online accounts on your behalf is just the start—our patented AI security technology seamlessly integrates with existing agentic software to thwart attacks like prompt injection, so CISOs and end users alike can breathe a sigh of relief, without slowing the pace of AI adoption.\n\n### Get Started\n\n* On the Web: https://app.multifactor.com\n* On iOS: https://apps.apple.com/us/app/multifactor-account-manager/id6753222030?platform=iphone\n* On Android: [https://play.google.com/store/apps/details?id=com.multifactor.app](https://play.google.com/store/apps/details?id=com.multifactor.app&ref=producthunt)\n* On Mac: https://apps.apple.com/us/app/multifactor-account-manager/id6753222030?platform=mac\n* On Windows: https://apps.microsoft.com/detail/9njxfnh5xb8d?hl=en-US&gl=US\n* On Chrome: https://chromewebstore.google.com/detail/multifactor/kbmlcdbnkedhffonmapkcglkllgdelhm\n\n### Demo Videos\n\nSharing accounts just by sending a link, **without** ever actually sharing the passwords. Can your password manager do that? https://www.youtube.com/watch?v=Vr_Ub0pBi6M\n\nInstantly revoke shared accounts, without having to change your passwords. Can your password manager do that? https://www.youtube.com/watch?v=TmDJX29SIU0\n\nOne-click logins to any site, on any device. Can your password manager do that? https://www.youtube.com/watch?v=r9NgEfFDy8A\n\nSecurely sharing any online account with AI agents. Can your password manager do that? https://www.youtube.com/watch?v=d3kRAlZei00\n\n### Product Images\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/2e4495eb-cc9b-4892-b77f-e02a76ea5f24)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/541e921d-397a-47fa-8761-e444494d56db)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/45648ce2-232c-4816-8c89-c75fb112fd57)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/9ae9040b-e6bc-4b78-b262-d0e8b397fb5a)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/6110c113-ae56-484f-b5a0-af47bf54f92d)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/b7a883f3-b8f5-4ed2-bbd5-fc76fc6d3a5f)\n\n![uploaded image](/media/?type=post&id=95453&key=user_uploads/2875344/4c57abc1-748f-4ed6-a296-23223420f78a)\n\n", "url": "https://www.ycombinator.com/launches/OpZ-multifactor-a-password-manager-built-for-secure-sharing-with-humans-ai", "votes": 22, "created_at": "2025-11-12T18:52:02.240Z" } ] }, { "id": 30899, "name": "Sciloop", "slug": "sciloop", "former_names": [ "SciLoop" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f01d1e4f95660e72f930c4f8b2542e2224dc9107.png", "website": "https://sciloop.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Sciloop creates expert-level math and physics problems that frontier AI models can't solve, then sells the data to AI labs for training and evaluation. Our problems are created by IPhO and IMO medalists — the top 0.01% of STEM talent globally. On our benchmark, models like GPT 5.4 Pro and Gemini 3.1 Pro score 0-5% on our hardest problems. We work with AI labs to supply continuous, fresh training data that pushes the frontier of mathematical and scientific reasoning. Founded by Bilal and Osman, International Physics Olympiad medalists from MIT with hands-on ML research experience at MIT CSAIL.\r\n", "one_liner": "Expert STEM reasoning data for frontier AI labs.", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1761248663, "tags": [ "Marketplace", "Data Labeling", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sciloop", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sciloop.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sciloop-labs", "x_url": "https://x.com/SciloopAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f01d1e4f95660e72f930c4f8b2542e2224dc9107.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fed7f882927e8fb06da3fa37372d4882ade38f87.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7236dec827b854b72e6c08d373f971278c84b65f.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1933114, "full_name": "Bilal Asmatullah", "title": "Founder/CEO", "founder_bio": "Co-founder of Sciloop (YC F25), On Leave From MIT\nInternational Physics Olympiad ’22 medalist.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bilal-asmatullah-8705692b4/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf61bc3516b5794d469bbefebfcaa598357a1e97.jpg" }, { "user_id": 2718484, "full_name": "Osman Siddique", "title": "Founder", "founder_bio": "CTO and co-founder of Sciloop (YC F25). \nCS student at MIT (on leave). Medalist and two-time highest national scorer at the 2022 International Physics Olympiad.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/osman-siddiquer", "x_url": "https://x.com/OsmanSiddiquer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65092c9b010287aa5db264ecfeb813617bfb76af.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94951, "title": "Sciloop: The AI Scientific Researcher", "tagline": "Come up with novel hypotheses, run experiments, analyze results, and write the paper — all automatically.", "body": "**TL;DR: We’re making the AI that does your research for you.[ Book a call.](https://calendly.com/osman-sciloop/30min)**\n\nHi.\n\nWe’re building **Sciloop**, a platform that automates the entire scientific research loop from hypothesis generation to experiment design, execution, analysis, iteration, and drafting real research papers.\n\nhttps://youtu.be/GNM8iA6p9Ao\n\n**Our Story:**\n\nWe’re Bilal and Osman, IPhO medalists and former MIT students with 4 years of experience applying ML in various research domains. While working at MIT CSAIL, we saw how large language models could help with literature review and even generate new hypotheses. Stanford’s recent study ([Can LLMs Generate Novel Research Ideas?](https://arxiv.org/abs/2409.04109))  showed that LLM-generated hypotheses can be more novel than those from domain experts. We saw the same in our own work.\n\n![uploaded image](/media/?type=post&id=94951&key=user_uploads/2718484/3a420779-570b-4a69-b3ee-628644695a3e)\n\nBut after generating ideas, everything slowed down. We spent hours designing experiments, writing code, debugging compute setups, and rerunning failed jobs that could crash after 12 hours. Even with tools like Cursor that helped us code faster, the overall loop from idea to insight was still painfully manual. Researchers everywhere face this same bottleneck.\n\nSo we asked ourselves: what if the research loop itself could be automated?\n\nSo we built **Sciloop**. It takes a research intent — a question or hypothesis — and automatically designs, runs, and monitors experiments in parallel on our own managed cloud compute. It tracks metrics, analyzes results, recommends next steps, and finally drafts a paper summarizing methods and findings. Sciloop turns days of busywork into hours of progress.\n\nOur goal is simple: **to completely automate scientific discovery**. The next decade will see a century of progress packed into a few years. As AI grows smarter and more accessible, its biggest impact will be speeding up science — finding new cures, discovering better materials, and driving breakthroughs in physics and math.\n\nThat’s our north star. But we’re not waiting for the future. We’re helping ML researchers move faster **right now**, automating the parts of their workflow that slow them down most. Sciloop is already being used in MIT research groups and by early partners working on real ML problems.\n\nIf you’re a company, research lab, or ML team struggling with model performance, experimentation speed, or scaling research, we’d love to work with you. Our goal is to deliver concrete improvements on your research challenges today.\n\n🚀 **The Ask - Let’s Make Research Self-Improving!**\n\nIf you’re working on ML research that could move faster, **book a quick chat** at https://calendly.com/osman-sciloop/30min or email us at [**team@sciloop.dev**](mailto:team@sciloop.dev).\n\nWe help brilliant research ideas stop gathering dust. This is for anyone who:\n\n* Runs **university or industry ML labs** drowning in experiments.\n* Is a **research student** buried under mountains of code and papers.\n* Leads a **company dreaming of R&D** but lacking scientists or resources.\n* Has a **head full of creative ideas** but no time to bring them to life.\n\nLet’s collaborate and accelerate your research—together.\n\n\\[1\\][ Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://arxiv.org/abs/2409.04109)", "url": "https://www.ycombinator.com/launches/OhT-sciloop-the-ai-scientific-researcher", "votes": 33, "created_at": "2025-10-29T01:25:09.249Z" } ] }, { "id": 30900, "name": "LogosGuard", "slug": "logosguard", "former_names": [ "Logos AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/028016b5518081901c8e2d5a5483ea0f04a88946.png", "website": "https://logosguard.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Use AI tools like ChatGPT, Claude, and Gemini safely without leaking sensitive data. LogosGuard redacts your private information before the prompt ever leaves your device.", "one_liner": "The sensitive data redaction layer for AI", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762810607, "tags": [ "B2B", "Compliance", "Security", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/logosguard", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logosguard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/logosguard/", "x_url": "https://x.com/logos_guard", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/028016b5518081901c8e2d5a5483ea0f04a88946.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": 1360462, "full_name": "Abel John", "title": "Founder/CTO", "founder_bio": "Cofounder at Logos Guard", "is_active": true, "linkedin_url": "https://linkedin.com/in/abel-john-85a7551b6", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2676fb12a3376b0738c096529889dfbc776c9310.jpg" }, { "user_id": 1963504, "full_name": "Sukrut Oak", "title": "Founder/CPO", "founder_bio": "Cofounder at LogosGuard", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sukrut-oak/", "x_url": "https://x.com/sukrut_oak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00a28be2c7282668c2d86a62afa38131143eef20.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95396, "title": "LogosGuard: The risk management software for enterprises adopting AI", "tagline": "Evaluate your AI risk, responsibly.", "body": "Hey everyone! We’re[ Sukrut Oak](https://www.linkedin.com/in/sukrut-oak/) and [Abel John](https://linkedin.com/in/abel-john-85a7551b6) from[ LogosGuard](https://logosguard.com/).\n\n**TL;DR**\n\nEnterprises are racing to adopt AI, but often don't have the right controls in place or know how to verify vendors are compliant. LogosGuard turns AI policies into executable controls, stress-tests your AI products, and continuously monitors changes, giving enterprises the confidence to scale AI responsibly.\n\n**The Problem**\n\nSOC-2 wasn’t designed for AI. Without the right controls in place, enterprises are having to rely on outdated standards or navigate a fragmented landscape of nascent AI frameworks (think NIST AI RMF, ISO 42001, and CSA AICM). The result: slow approvals for new projects and vendors, inconsistent and insufficient reviews, and no reliable way to prove an AI product still meets policy after it changes.\n\n**The Solution**\n\n**LogosGuard** is an AI governance and assessment platform that fits into your existing procurement and compliance systems, and produces reports your teams can act on:\n\n* **Build your AI Controls baseline.** We translate leading controls frameworks, including NIST AI RMF and ISO/IEC 42001, and your internal policy, into a clear set of AI controls. We help you understand and choose controls tailored to your industry, and keep up to date with the continuously changing state and federal regulations.\n* **Stress test the AI features.** We run targeted evaluations for prompt-injection, harmful guidance, PII mishandling, access-control gaps, transparency failures, robustness, and more.\n* **Continuous monitoring.** When vendors update models and features, we re-run the key tests continuously and alert you if risk rises over time.\n* **Painless reporting.** We provide executive summaries, auditor-ready evidence, and a searchable record of decisions so compliance, information security, and leadership see the same truth.\n\n**Impact**\n\n* Vendor risk reviews in days, not months\n* Maintain a robust set of AI controls, with regulatory compliance informing policy updates\n* Catch drift before incidents occur with continuous monitoring\n\n**Why us**\n\n* **Sukrut Oak** — Stanford BS/MS (CS, AI); 3+ years AI safety and benchmarking research; ex-AI engineering at Apple’s Health team; ex-SpaceX.\n* **Abel John** — Stanford BS/MS (CS, AI); ex-AI engineering at Apple; ex-MTS at Accordance (AI for tax accounting - backed by Khosla, Sequoia, and more)\n\n**Our Ask**\n\n* Warm intros to CISOs, CIOs, or anyone who signs off on new AI deployments.\n\nWe’d love to chat. Reach out to us at [founders@logosguard.com](mailto:founders@logosguard.com) or find a time on[ our calendar](https://calendly.com/d/cw55-rnb-3w8/logos-guard-demo)! If you’re in SF, coffee is on us:)\n\n[Launch Video](https://www.youtube.com/watch?v=UZL54wns8nI)", "url": "https://www.ycombinator.com/launches/Ooe-logosguard-the-risk-management-software-for-enterprises-adopting-ai", "votes": 231, "created_at": "2025-11-11T00:36:13.063Z" } ] }, { "id": 30903, "name": "Kestrel AI", "slug": "kestrel-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png", "website": "https://usekestrel.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kestrel is the AI automation layer for platform engineering teams.\r\n\r\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, and developer requests across their stack.\r\n\r\nKestrel turns natural-language prompts into deterministic, production-ready workflows with 40+ integrations, 200+ pre-built actions, and support for custom HTTP and webhook actions.\r\n\r\nDeveloper-first, with a CLI, Python SDK, and MCP server to manage workflows from where platform teams already work.", "one_liner": "AI Agents for Platform Engineering", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1761187283, "tags": [ "AIOps", "Developer Tools", "DevOps", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/kestrel-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kestrel-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kestrel-ai-security/", "x_url": "https://x.com/kestrel__ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/KestrelAI/Kestrel-Operator", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a17c93b508bc423bb59667db4befdfd07cfd6f68.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1567ed15193a6530e6a8ca6468ddada7553e0aa0.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2950276, "full_name": "Raman Varma", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO. Prev: CS @ Berkeley; ML @ Sky Computing / BAIR labs, Square, Coursera; SWE @ Illumio.\nBuilding Kestrel – AI agents for platform engineering teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ramanvarma/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2b5f7e9806eb261a5342845ec47b959b65e467e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104092, "title": "Kestrel - AI Agents for Platform Engineering", "tagline": "Automate incident response, CI/CD, developer requests, security, and more with AI agents that build deterministic workflows across your platform stack.", "body": "TL;DR: Kestrel turns natural-language prompts into deterministic, production-ready workflows that automate incident response, cloud provisioning, CI/CD, security, and developer requests. It supports 30+ integrations and is developer-first, with a CLI, Python SDK, and MCP server so you can manage workflows from where you (and your coding agents) already work. Build your first workflow in <5 mins with $1,000 in usage credits at [usekestrel.ai](http://usekestrel.ai).\n\n\n\n**The Problem**\n\nCoding agents made every developer faster. But the platform team did not get faster with them.\n\nDevelopers now ship with Cursor/Claude/Codex and generate infrastructure, deployments, and provisioning requests at a rate no platform team was staffed for.\n\nAt illumio I once waited more than three weeks just to get Kafka clusters provisioned for a new service I was building. And provisioning is only part of it. The platform team is also on the hook for incident response when production breaks, repairing the CI/CD glue that ties the deployment pipeline together, platform security, and every \"can you just\" developer request in Slack.\n\nMost platform teams pick one of two bad options. They hand developers (and their agents) direct access to infra, CI/CD, and cloud accounts, and hope nothing breaks. Or they gatekeep and become the bottleneck every developer has to wait on.\n\nBuilding a platform that developers actually like has been a luxury only the largest engineering orgs could staff, and an understaffed platform effort usually does more harm than good.\n\n**The Solution**\n\nSee how it works: \n\nPlatform teams use Kestrel to automate incident response, cloud provisioning, CI/CD, security, developer requests, and more across their stack. You describe what you want to automate in plain English, and the Workflow Agent builds the whole thing. It draws from 140+ pre-built actions across 30+ integrations, plus custom HTTP APIs and webhooks for anything that isn't built in yet.\n\nOnce a workflow is configured it runs deterministically with no LLM deciding what to do at runtime.\n\nYou can define workflows that handle self-service developer requests without handing over the keys; scope who can trigger each workflow; fence it to specific clusters, cloud accounts, or repos; and require approval before anything touches production. Developers get a golden path without free rein, and the platform team keeps the guardrails without gatekeeping.\n\nKestrel analyzes your connected integrations and suggests ready-to-deploy workflows, and the Workflow Assistant turns your existing runbooks and scripts into production-ready automations, so you don't have to start from scratch: \n\nEvery workflow you build in Kestrel is fully observable, with a dashboard that shows what's running, what's waiting on approval, and what failed; real-time step-level logs; and a failure diagnosis agent that fixes failed workflows for you: \n\nThe [Kestrel CLI](https://docs.usekestrel.ai/workflows/cli), [Python SDK](https://docs.usekestrel.ai/workflows/sdk), and [MCP server](https://docs.usekestrel.ai/workflows/mcp) let you and your coding agents build and manage workflows from the terminal and application code.\n\n**How It Works**\n\nFirst, connect your platform stack. Kestrel supports 30+ integrations across infrastructure, PaaS, AI compute, observability, on-call, networking, databases, CI/CD, and IaC:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/c11a044c-2df5-4c23-8035-5c23b99ad45c)\n\nThen, open the Workflow Agent and describe what you want to automate. Here are a few examples:\n\n* “When a PagerDuty alert fires for the production Kubernetes cluster, run root cause analysis, post the findings to #incidents in Slack, create a P1 Jira ticket, and apply the recommended fix after approval in Kestrel.”\n* “When a developer submits a cloud provisioning request in Slack, route it to the team lead for approval, provision the AWS resources with Terraform in the infra repo, and notify the developer once the pull request is merged.”\n\nEverything you do in the dashboard is available via the CLI/SDK/MCP. E.g. you can generate a workflow, activate it, and clear an approval from the terminal:\n\n![uploaded image](/media/?type=post&id=104092&key=user_uploads/2950276/e5c068f1-98e7-4e35-9e83-407f2d4807a6)\n\n**Ask**\n\nIf you're a platform engineer or eng leader tired of manually responding to developer requests, incidents, or CI/CD failures, you can try it yourself today with a 14-day free trial and $1,000 in usage credits. Use suggested workflows and the Workflow Assistant to build your first platform automations in minutes.\n\nIf you want to learn more about what onboarding looks like or dedicated infrastructure/on-prem deployment options, [book a demo](https://calendly.com/hello-usekestrel/30min) and I'll walk you through it.\n\n[Try Kestrel today](https://platform.usekestrel.ai/register)", "url": "https://www.ycombinator.com/launches/R4u-kestrel-ai-agents-for-platform-engineering", "votes": 20, "created_at": "2026-07-01T23:54:04.445Z" }, { "id": 95330, "title": "Kestrel: AI Copilot for Kubernetes Ops & Security", "tagline": "Run Kubernetes securely and fix incidents in seconds, not hours.", "body": "Hey everyone, we’re [Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) from Kestrel 👋\\\n\\\n**TL;DR:** Kestrel helps teams using Kubernetes detect, investigate, and fix issues without manual firefighting. It monitors cluster health and security 24/7, finds root causes, and generates ready-to-apply YAML fixes - so incidents get resolved before you even reach for your laptop.\\\n\\\nLaunch video: https://youtu.be/HA2YziEBMVw\n\n**Ask:** If your team runs Kubernetes, we’d love to hear from you! You can reach out to us at [raman@usekestrel.ai](mailto:raman@usekestrel.ai) or [book a demo here](https://calendly.com/raman-usekestrel/demo). Or get started in minutes with a [14-day trial](https://platform.usekestrel.ai/register)!\n\n# **The** **Problem**\n\nRunning Kubernetes at scale is **chaos**.\\\n\\\nAs founding engineers on the Kubernetes Security team at Illumio, we saw both startups and large **organizations struggle with its complexity and scale**. For example, network policies are so tricky that many teams default to allowing everything, and even basic ops tasks like debugging failed rollouts mean spending hours digging through logs and events just to find where things went wrong.\\\n\\\nOver time, this complexity compounds and clusters begin to drift - configs diverge, policies break, and “temporary” workarounds become production. And when something goes wrong, **engineers are buried under alerts and reports** from disconnected tools, trying to debug blind at 3 a.m.\n\n# **Our Solution**\n\nKestrel is redefining how teams manage Kubernetes with the **first agentic platform that unifies ops and security**. It replaces manual triage with autonomous investigations and human-in-the-loop remediations - so issues that used to take hours to debug can be understood and fixed in seconds.\n\n💬 **AI Chat Assistant**: Investigate **any Kubernetes issue** across all of your clusters in plain English - skip the complex queries and context switching, and get answers with ready-to-apply YAML fixes from a single point of command.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/4cabf3fd-7053-4e7b-8562-4feaa5f72df4)\n\n🚨 **Incident Response**: Kestrel continuously monitors your clusters to detect incidents, trace root causes, and generate **YAML fixes that can be applied with a single click**. It's like having a dedicated on-call SRE team - without the burnout or headcount.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/218cbd5b-4100-4341-a02b-4b8ff04d5a26)\n\n🌐 **Topology Map**: Visualize your Kubernetes infra with classified intra-cluster, cross-cluster, and external traffic overlaid in real time.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/280f095a-4030-46bf-824e-1f0d421cf761)\n\n⚠️ **Risk Assessments**: Launch a swarm of specialized AI agents that discover vulnerabilities and provide **exact remediation steps** across network security, RBAC, privilege escalation, container image security and more. Validate fixes with a single click.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/53b80638-b9b4-4986-be1d-7a5ed6db5571)\n\n# **The Team**\n\n[Raman](https://www.linkedin.com/in/ramanvarma/) and [Evan](https://www.linkedin.com/in/evanchopra/) were founding engineers on Illumio’s Kubernetes team, where they built distributed systems to secure clusters for Fortune 500 companies.\\\n\\\nRaman previously worked on ML systems research at Sky Lab and BAIR. Evan was a security researcher during his Master’s in Computer Science, focusing on the Signal Protocol.\n\n![uploaded image](/media/?type=post&id=95330&key=user_uploads/2950276/7eeab8b1-9e35-4d4a-bac4-41b196c89fc7)\n\n", "url": "https://www.ycombinator.com/launches/Ona-kestrel-ai-copilot-for-kubernetes-ops-security", "votes": 37, "created_at": "2025-11-09T16:01:39.639Z" } ] }, { "id": 30907, "name": "Logical", "slug": "logical", "former_names": [ "Ignotus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb6ea58cacd2d7637cd441b73c8f2e6da92ae97.png", "website": "https://logical.io", "all_locations": "San Francisco, CA, USA", "long_description": "Logical is a desktop AI that acts as a proactive and largely promptless copilot, designed to reduce the friction of using AI for everyday tasks. It transfers context across apps, and allows taking action on many apps with just a few clicks. Logical can assist with drafting emails, writing docs, noting meetings and can even automatically detect action items. Need to prompt? Logical can understand intent in much fewer words than a regular chatbot. Plus, user data is never sent to Logical servers. Logical is the AI resurrection of Clippy, but actually good.", "one_liner": "A proactive desktop copilot. Clippy, but actually good.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1761643617, "tags": [ "Consumer", "B2B", "Productivity", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/logical", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/logical.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/in/trylogical", "x_url": "https://x.com/trylogical", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb6ea58cacd2d7637cd441b73c8f2e6da92ae97.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5229c6eb1c56e3326af12748cf0741e4b72e35c6.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2175254, "full_name": "Sam Karu", "title": "Founder/CEO", "founder_bio": "Sam is a co-founder and CEO of Logical. He was a PhD dropout from UCLA before joining NVIDIA. At UCLA, Sam conducted research on AI applications in wireless and cellular domains, across both discriminative and generative models. At NVIDIA, he worked on AI inference and model optimizations for specific hardware. Sam is the best performing Sri Lankan in the history of both the International Physics Olympiad and Asian Physics Olympiad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samurdhilbk/", "x_url": "https://x.com/SamKaru_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7da125206396ec667a3f86824c54fd9218ff08d8.jpg" }, { "user_id": 2844384, "full_name": "Anushka Idamekorala", "title": "Founder/CTO", "founder_bio": "Anushka is a co-founder and CTO of Logical. After three years leading B2B SaaS engineering teams, he enrolled in the University of Virginia (UVA) where his research focused on context-aware time-series forecasting.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anushkaidamekorala/", "x_url": "https://x.com/anushkaidame", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c0013de048bbf6ed7fc4b05aa9441bfd2dc72dd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95304, "title": "Logical: The Proactive Desktop Copilot", "tagline": "Logical makes every knowledge worker 5x productive", "body": "Hi everyone,\n\nWe’re [Sam](http://linkedin.com/in/samurdhilbk) and [Anushka](http://linkedin.com/in/anushkaidamekorala/), co-founders of [Logical](https://trylogical.ai).\n\n**TL;DR:**\n\n**Logical is a copilot that lives on your desktop and proactively assists with things like drafting emails, meeting insights and tracking to-do items.**\n\nInstead of waiting for you to prompt, Logical suggests context-aware actions in many common apps and services. It’s like Clippy, but actually good.\n\nhttps://youtu.be/XfyPZb14LZM?si=aaJMF37-ipwkJBDV\n\n### Problem\n\nPrompt-first AI is fundamentally flawed. We waste hours every week writing lengthy prompts, context-switching and copy-pasting to get a chatbot to understand what we're doing. The context surrounding our work (emails, meeting notes, knowledge bases etc.) lives in siloed services that don't talk to each other. A truly helpful AI must live where we work: on the desktop.\n\n### Solution\n\nLogical lives on your desktop, observing your work to build an understanding of your intent and the context that surrounds it. As you switch between apps and tabs, Logical transfers that context with you.\n\nIt proactively suggests actions based on what you're doing—whether you're in Gmail, Slack, or Excel. This turns Logical into an all-in-one assistant: it's your email drafter, to-do manager, AI note-taker, and chatbot, all combined.\n\n**📨 Email & Messaging Assistant:** Get quick drafts. Fine-tune, revert, and apply. Works with Gmail, Slack, iMessage and Apple Mail.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/ab0e8f09-c58c-45d7-8eef-0be23b97d326)\n\n**✅ Automatic To-Do Detection**: Detects and drafts deliverables. Plus, it reminds you to get those done.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/afe169f0-7103-4fe7-aec1-a17e72157c74)\n\n**🪄 Logical Lumos:** Get real-time assistance on any task. In Excel, it can suggest formulas and analyze errors; in a doc, it can explain terms as you highlight them. \n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/596d5046-364b-43b4-86c1-b63ea1b82b1a)\n\n**🔗 Connect your services:** Bridge Gmail or your Calendar for deeper context. Search your email with natural language, or get quick calendar availability lookups.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/2b2a7df8-ff33-41f7-8770-5878ab4070af)\n\n### Our story\n\nSam and Anushka have been friends since they met in grade school at 6 years old.\n\nBefore Logical, Sam worked on AI model optimizations at NVIDIA and previously dropped out of a PhD in applied AI. He's a medalist at both the IPhO and APhO and received a President’s Award for Scientific Research from the Government of Sri Lanka. Anushka dropped out of his PhD in context-aware predictive AI at UVA, and previously led B2B SaaS engineering teams.\n\nWorking in both academia and industry, we saw firsthand how most AI tools create friction and frustrate users. Our unique backgrounds – context-aware AI and AI model optimization – convinced us that an AI agent that lives on the desktop can identify user intent and provide proactive help, without compromising on speed or quality.\n\n### Our Ask\n\nIf you're reading this, Logical can help you (yes, you!) get more done. Try it out at [**https://trylogical.ai**](https://trylogical.ai) – we offer generous free credits. Help us with feedback on how Logical can better fit your workflow.\\\n\\\nIf you’re an enterprise, help your team miss fewer deadlines and spend less time context-switching. Plus, you can stop paying for 10 different AI add-on subscriptions – Logical can do it all. Contact us at [**hello@trylogical.ai**](mailto:hello@trylogical.ai) to learn more and book a demo.\n\n![uploaded image](/media/?type=post&id=95304&key=user_uploads/2175254/bd182517-615e-4efe-8de7-18985fd8fa32)\n\n", "url": "https://www.ycombinator.com/launches/OnA-logical-the-proactive-desktop-copilot", "votes": 161, "created_at": "2025-11-07T20:24:35.548Z" } ] }, { "id": 30910, "name": "Aleph Lab", "slug": "aleph-lab", "former_names": [ "Aleph Lab, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4f5ece11eecade92cb79477adf78d6a6e699cfa.png", "website": "http://alephlab.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "An AI companion that chats and plays with children inside games like Minecraft, helping them learn a new language while they play. Kids already spend hours each week in their favorite games, and now parents can turn that game time into learning time.", "one_liner": "AI language buddy in the games kids love", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1761373763, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/aleph-lab", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aleph-lab.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alephlab", "x_url": "https://x.com/aleph_kids", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a4f5ece11eecade92cb79477adf78d6a6e699cfa.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": 1616462, "full_name": "Dan Han", "title": "Founder/CEO", "founder_bio": "Co-Founder at Aleph Lab. 2x founder. CS at Seoul National.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gy-han/", "x_url": "https://x.com/thisisdanhan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df035d0634f666353cca5fee806ced0d38502e68.jpg" }, { "user_id": 2968561, "full_name": "Jaihee Kim", "title": "Founder", "founder_bio": "Co-Founder at Aleph Lab. Spent the last 6 years as an ML engineer at Google and YouTube. MS in ML from UC San Diego.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kim-jaihee/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57259526c8182f9a41b7b1366aad34a78ecd279a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95244, "title": "Aleph Kids — Your Child’s AI Language Buddy 🧑‍🎓", "tagline": "Aleph Kids helps your child learn a new language while playing their favorite games ", "body": "Hey everyone! We’re [Joseph](https://www.linkedin.com/in/hannim/), [Jaihee](https://www.linkedin.com/in/kim-jaihee/), and [Dan](https://www.linkedin.com/in/gy-han/), co-founders of [Aleph Lab](https://alephlab.ai/). \n\nWe’re building your child’s AI language buddy in the games they already love, helping your child learn a new language while they play—think of it as Duolingo inside Minecraft.\n\nhttps://youtu.be/d6zcIRppOQk\n\n# **❌ The problem**\n\n1\\. Children on average play video games for 4+hrs/week. Many parents feel guilty about the screen time and worry that their kids aren’t being productive.\n\n2\\. Many parents want their children to learn a new language, but it’s challenging to have their kids sit through even a 30-minute class because it’s boring. Private native speaker tutors are expensive, costing at least $35/hr. \n\n# **👷Our solution**\n\nWe turn games into real language learning by bringing Annie inside Minecraft who secretly teaches.\n\nHere’s a video of Emily, our customer, playing with Annie.\n\n**Ask:** If you’re a parent or know one with a child learning English, start learning in Aleph kids today: https://alephlab.ai/\n\nhttps://youtu.be/hAW5eWn4qhA\n\n* Annie’s now taught over **2,000 sessions**.\n* Many kids improved by more than **a grade level in just five sessions**. \n* We even convinced families to buy Minecraft for $30 to learn in Aleph Kids.\n\n \n\n**Pedagogy**: Annie prompts kids to speak hundreds of words and absorb new vocabulary, and corrects their grammar in real time, helping them improve every time they play.\n\n**Beginner-friendliness**: We provide real-time transcriptions of Annie’s speech to help beginners understand Annie and refer to sample responses to know what to say next.\n\n**Curriculum**: We offer a variety of modules (custom maps with scenarios) where children can practice speaking across different situations.\n\n**Safety**: Learning happens on a private server, where kids play safely with Annie, free from random strangers or unfiltered chats. Annie also speaks in a child-friendly tone.\n\n# **🙏 Our Ask**\n\nWe’d love intros to:\n\n* **Language experts or ESL teachers** who can help us design our language curriculum.\n* **Minecraft content creators** who love sharing fun gameplay.\n* **Minecraft builders or builder communities** interested in building custom maps.\n* **Animators or creative studios** that can help us make animations of Annie\n\n👉 Contact us at [contact@alephlab.ai](mailto:contact@alephlab.ai)\n\n# **👬 The Team**\n\nAll four of us are immigrants who know how hard it is to learn a new language. To help kids facing the same challenge, we tutored English for years. It was hard to keep kids engaged with flashcards and textbooks. But, when we joined them in Minecraft and spoke only in English, they naturally absorbed new words and phrases. \n\nThis was our “aha” moment that led us to build Annie. She’s better than us at English and Minecraft, and is always available. Kids even say they’d rather play with Annie than us, so we’re on a mission to bring Annie to children around the world.\n\n![uploaded image](/media/?type=post&id=95244&key=user_uploads/2969712/2bb874a4-1590-4145-9430-b37ecf25bf02)\n\n", "url": "https://www.ycombinator.com/launches/OmC-aleph-kids-your-child-s-ai-language-buddy", "votes": 73, "created_at": "2025-11-06T17:24:23.252Z" } ] }, { "id": 30911, "name": "Helonic", "slug": "helonic", "former_names": [ "Articulate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.png", "website": "https://helonic.com", "all_locations": "New York City, NY, USA", "long_description": "We help construction teams eliminate rework, delays, and drawing confusion before construction starts.
We analyze PDF plans, detect clashes and inconsistencies across disciplines, and create draft RFIs so teams can resolve issues early.\r\n\r\nThis saves construction companies hundreds of hours and millions of dollars.\r\n\r\nWhat we do:\r\n- Automatically detect clashes, missing information, and drawing mismatches\r\n- Align architectural, structural, and MEP plans so everything matches across sheets\r\n- Generate draft RFIs from issues we find\r\n- Replace long page-turn meetings with instant drawing analysis\r\n- Reduce rework and prevent schedule delays before boots hit the ground\r\n\r\nWe integrate with:
Procore, Autodesk, email, and the tools teams already use\r\n\r\nTeams use us to:\r\n- Save hundreds of thousands to millions of dollars per project\r\n- Catch design and coordination issues early\r\n- Reduce RFIs and prevent field fixes\r\n- Keep projects on schedule with fewer surprises\r\n\r\nContact us at founders@helonic.com", "one_liner": "Automatic Construction Drawing Clash Detection ", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1760131149, "tags": [ "Construction", "B2B", "Workflow Automation", "Architecture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/helonic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/helonic.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/helonic", "x_url": "https://x.com/HelonicAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.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": 2463466, "full_name": "Milind Sagaram", "title": "Founder/CTO", "founder_bio": "Co-Founder @ Helonic\nEx. SpaceX, BMW, NG\nIllinois Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/milind-sagaram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9ab6e4960bf447e4ab5d732825808df30c0d34e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94785, "title": "Helonic: Automatic Construction Drawing Issue Detection", "tagline": "Catch issues in drawings before they appear on site", "body": "**TL;DR:** Helonic is the AI platform that helps **construction companies, architects, and civil engineers** catch design errors and avoid costly rework before construction begins. We automatically detect clashes and discrepancies, and generate RFIs and save construction companies hundreds of hours and millions of dollars.\n\n**Launch Video: [https://youtu.be/sen1fR6e7n4](https://youtu.be/sen1fR6e7n4)**\n\n**❌ The Problem:**\n\n* Drawings and specs are often incomplete or inconsistent, leading to design clashes and costing companies **hundreds of millions of dollars**\n* Mechanical, structural, and architectural plans don’t align, forcing long coordination cycles and rework\n* Incorrect blueprints and outdated revisions cause crews to build from the wrong designs, especially in fast-paced solar installations\n\n**✅ The Solution:**\n\nHelonic automatically finds issues in construction drawings.\n\n* **Detect design discrepancies automatically:** AI identifies clashes across MEP, structural, architectural, and solar layouts before they reach the field.\n* **Instantly generate RFIs:** Proactive document and drawing auditing allows project managers and installers to stay focused on building.\n* **Integrated and proactive:** Helonic connects with Procore, Revit, Autodesk, Outlook, Gmail, Google Drive, SharePoint, Bluebeam, and more\n\n**About Us:**\n\nMilind is from Chicago. He’s an engineer who worked at SpaceX, Northrop Grumman, and BMW. At SpaceX, he built critical satellite and ground station hardware test infrastructure for Starlink. He also graduated with a degree Computer Engineering from the University of Illinois.\n\n**🦺 Our Ask:**\n\n* If you know any project managers or superintendents at general contractors, we’d love an introduction.\n* If you know directors or executives at construction or solar firms who are improving design coordination or workflows, we’d love to connect with them.\n* Visit us at [helonic.com](http://usearticulate.com) or contact us at [founders@helonic.com](mailto:founders@helonic.com)!", "url": "https://www.ycombinator.com/launches/Oen-helonic-automatic-construction-drawing-issue-detection", "votes": 35, "created_at": "2025-10-20T19:45:41.152Z" } ] }, { "id": 30912, "name": "Redapto", "slug": "redapto", "former_names": [ "Ligo AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3dd38394ff07e1224b748fcf5b78c7df866584d2.png", "website": "https://www.redapto.com/", "all_locations": "Bengaluru, KA, India", "long_description": "Redapto builds the intelligence that runs the real world, closing the gap between understanding and execution. By combining real-time context, specialized AI agents, and adaptive orchestration, Redapto takes ownership of complex, mission-critical operations from end to end. Acting as an always-on operational brain, it coordinates across people and systems, improves every decision, and grows more capable with every task.", "one_liner": "Intelligence that moves the world", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759943597, "tags": [ "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/redapto", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/redapto.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/redapto", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3dd38394ff07e1224b748fcf5b78c7df866584d2.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": 2889953, "full_name": "Anirudh Pupneja", "title": "Founder/CTO", "founder_bio": "CEO @ Redapto (YC F25). Previously built the Generative AI platform at Coinbase.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anirudh-pupneja/", "x_url": "https://x.com/AnirudhPupneja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aadc9537e131da45849724d24d00342c16f25677.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30916, "name": "Rovr", "slug": "rovr", "former_names": [ "Bellman AI", "Bellman" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be661dea8f47a3f8abccf2a96eac3ff45c4977d8.png", "website": "https://www.withrovr.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Rovr streamlines engineering operations by automating intake, triage, routing, and cross-team coordination. It replaces internal forms, manual Slack triage, and scattered docs with an AI front desk that understands requests, assigns owners, updates context, and posts status changes directly into Slack. Rovr’s built-in ops CRM gives teams a single system of record for eng requests — from tooling access to platform incidents to dev-infra workflows — reducing operational drag across the entire org.", "one_liner": "AI FDE Engine that runs your engineering workflows", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761690618, "tags": [ "Developer Tools", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Inactive", "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/rovr", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/rovr.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be661dea8f47a3f8abccf2a96eac3ff45c4977d8.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": 1694979, "full_name": "Arnav Jain", "title": "Founder", "founder_bio": "CS and Business at Berkeley. Prev. Bespoke Labs, Jeeva Clinical Trials, FHL Vive Research Lab.\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/arnavjain053/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af419f05c76f3c23ca9affac59814cfffc4659d2.jpg" }, { "user_id": 2970156, "full_name": "Yash Jain", "title": "Founder", "founder_bio": "Ex-Mercor, Databricks Amazon. Berkeley Computer Science.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/yashjain75/", "x_url": "https://x.com/yashjainz1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fa0321667dbad4c59bf87a106df3b02d7157d34.jpg" }, { "user_id": 2555233, "full_name": "Nithik Yekollu", "title": "Founder", "founder_bio": "Co-Founder of Bellman AI. Prev Mercor, Berkeley EECS, Google, RISE Lab, LMSYS\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/nithik-yekollu-7298671a8/", "x_url": "https://x.com/nithikyekollu?s=11&t=gdvWG-vL2wNJq4aZra4dVA", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d7322fd93c5af7da672ec2b65e86a264a94229e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30917, "name": "Bravi", "slug": "bravi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "website": "https://www.bravi.app/", "all_locations": "New York City, NY, USA", "long_description": "Bravi helps manufacturers of windows, doors, and other home improvement products turn fragmented technical and commercial data into tools their teams can use instantly. \r\n\r\nOur AI platform helps sales, customer service, and field teams answer technical questions, configure complex products, generate quotes, and retrieve order information by connecting to existing documentation, catalogs, ERP, CRM, and pricing systems.\r\n\r\nBravi is already live with leading installers and manufacturers across Europe and the US, turning missed demand into revenue.", "one_liner": "AI operating system for home improvement manufacturers", "team_size": 8, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759871932, "tags": [ "B2B", "Manufacturing", "Automation", "Home Services", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 (Anas and Pierre-Habté) met at UC Berkeley in 2017 and immediately started working together on tech projects. After co-founding Snipfeed, scaling it to 20+ people, and selling the company in 2024, we knew we wanted to build again together.\r\n\r\nThe idea for Bravi came from a very personal pain point: my family runs a shutter installation business in France, and I saw firsthand how many calls and leads were missed every day. On top of that, I launched a side business, Volet Dumont, selling shutters online, and experienced the same chaos with quoting and customer communication.\r\n\r\nWe realized installers were losing 30–40% of potential revenue just from slow follow-ups, missed calls, and disorganized workflows. With our background in automation and product scaling, we decided to tackle it head-on.\r\n\r\nThat’s how Bravi was born: combining our founder-market fit, validated by hundreds of conversations with installers, with the conviction that AI assistants could transform how home service companies capture and convert leads." } ], "url": "https://www.ycombinator.com/companies/bravi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bravi.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/braviapp", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/293f67239064e77044472c7d1555aed47f6899c7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7636c7fb91d9cf0122d51febfbb6e191e9cd47ab.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9b42378c39210eacfa059a9799e1f5a2645d4ad1.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 231836, "full_name": "Anas Bouassami", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Bravi (YC F25), the AI communication platform for home service companies. \nAlongside Bravi, he also runs Volet Dumont, an online rolling shutter business that serves as a live testing ground for Bravi’s technology and customer workflows.\nHe previously co-founded Snipfeed in 2017, where he scaled the company to 20+ employees before its acquisition in 2024. \nAnas holds a Master Degree from UC Berkeley and a Bachelor of Science in Mechanical Engineering from EPFL.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anas-bouassami", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/843c0e7207b31b53a786edabe00362860887c3a1.jpg" }, { "user_id": 231673, "full_name": "Pierre-Habte Nouvellon", "title": "Founder", "founder_bio": "Co-founder and CPTO of Bravi. Previously co-founded and exited Snipfeed ($7M raised, 20+ employees). South American Math Olympiad #1. Trained as a space/aerospace engineer before moving into ML and AI product.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-habte-nouvellon/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef29a9e4166d4b4e83e3e4bf6f92ae1c5d6a3601.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94602, "title": "Bravi - AI voice and chat assistants for home service companies", "tagline": "The AI assistant that helps home service companies capture every lead", "body": "👋 We’re [Pierre-Habté](https://www.linkedin.com/in/pierre-habte-nouvellon/) & [Anas](https://www.linkedin.com/in/anas-bouassami/) from [Bravi (F25)](https://bravi.app/) and we are bulding AI voice and chat assistants for home service companies.\n\nyoutube.com/watch?v=Zl3jtIK_yco&feature=youtu.be\n\n**TL;DR:** Bravi builds **AI voice & chat assistants** for home service installers (shutters, solar, HVAC, carpentry) and manufacturers. We help them capture every lead, follow up instantly, and close more jobs.\n\n### **Problem**\n\n**Missed revenue**\n\nMost installers and manufacturers selling directly to consumers lose **30–40% of potential revenue** because they miss calls, don’t answer emails, and fail to respond to chats in time. Every unanswered lead is lost business.\n\n**Broken communication workflows**\n\nSales, admin, and field teams rely on **manual callbacks, scattered inboxes, and slow CRMs**, which makes it impossible to respond instantly or follow up consistently. That lag costs them real money.\n\n**Tools not made for them**\n\nGeneric chatbots and call centers don’t understand **home service workflows** — quotes, site visits, or product specs — leaving customers frustrated and companies unable to scale efficiently.\n\n### **Solution**\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/5c45980d-e8ee-4351-bb93-f7f115717a92)\n\nBravi fixes this with AI agents that:\n\n* **Answer calls & chats** 24/7\n* **Pre-qualify leads** (project type, urgency, location)\n* **Book** **callbacks** for the team\n* **Create tasks & reminders** for team members to ensure follow-through\n* **Generate** and **Send** **quotes** automatically\n\n### **Our Story**\n\nThis isn’t theory. We (Anas & Pierre) met at UC Berkeley in 2017. After co-founding and scaling our first startup to 20+ employees (acquired in 2024), we wanted to build again, this time in a space we knew personally.\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/4bd905c2-fa8c-4c65-91dc-f0891a474e13)\n\nAnas grew up in a **family shutter installation business** and later launched an **online shutter e-commerce store** (Volet Dumont). Both showed us the same pain: installers drowning in leads, but losing 30–40% of potential revenue.\n\nThat’s how **Bravi** was born.\n\n### **🙏 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know **installers, manufacturers, or contractors** in home services (shutters, solar, HVAC, carpentry…) who struggle with missed calls or slow follow-ups?\n\n 👉 Invite them to test **Bravi** for free at [www.bravi.app](http://www.bravi.app)\n* Can you introduce us to **B2B2C manufacturers** selling directly to consumers who could benefit from AI assistants handling their inbound calls, chats, and emails 24/7?\n* Are you working with or know **digital agencies** or **industry partners** that build websites for installers and could integrate Bravi’s AI assistants into their clients’ sites?\n\n💬 We’d love to connect — every intro or feedback helps us make sure **no home service business ever loses a lead again**\n\n📩 Reach us anytime at [**anas@bravi.app**](mailto:anas@bravi.app)\n\n![uploaded image](/media/?type=post&id=94602&key=user_uploads/231836/0ee0d771-04a0-4722-b59f-761dfd5ecbcf)\n\n", "url": "https://www.ycombinator.com/launches/Obq-bravi-ai-voice-and-chat-assistants-for-home-service-companies", "votes": 40, "created_at": "2025-10-13T17:33:41.518Z" } ] }, { "id": 30918, "name": "ComplyDo", "slug": "complydo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1138acf799ce629450bf7f2fb3d38a36aabb6d93.png", "website": "https://www.complydo.io/", "all_locations": "Berlin, Berlin, Germany", "long_description": "The most flexible enterprise compliance engine that makes GRC teams 10x more efficient. Already trusted by global leaders and the largest EU enterprises.\r\n\r\nWhat it does:\r\n- Extracts requirements from any file\r\n- Maps them to controls and policies\r\n- Shows gaps and monitors changes\r\n- Advises on maturity and next steps", "one_liner": "Global Compliance for Enterprises", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1759460278, "tags": [ "B2B", "Compliance", "LegalTech", "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Enterprises waste months and millions on manual IT compliance. It slows deals, blocks growth, creates regulatory risk, and drains already stretched teams. Global rules get more complex every week, but tools and consultants haven’t kept up.\r\n\r\nWe built ComplyDo to change that: the most flexible compliance engine for enterprises. With ComplyDo companies can move faster, stay safer, and win across markets." } ], "url": "https://www.ycombinator.com/companies/complydo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/complydo.json", "year_founded": 2025, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/complydo-io", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/complydo", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1138acf799ce629450bf7f2fb3d38a36aabb6d93.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/80a50621e790e60fb76403e535da72414caa2519.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2687177, "full_name": "Leo Schuhmann", "title": "Founder/CEO", "founder_bio": "Helping enterprises win across markets. \nTech & Consulting Background.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leo-schuhmann-324927182/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a02c3ebd952a4ff24d89085719f812b941e2b00.jpg" }, { "user_id": 2710525, "full_name": "Moritz Moser", "title": "Founder/CPO", "founder_bio": "Building ComplyDo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moritz-moser-99b3a320a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d200b6871073ea9cd8e51ca4dbba265162125516.jpg" }, { "user_id": 2735214, "full_name": "Matthias Schneider", "title": "Founder/CTO", "founder_bio": "Deploying agents to automate enterprise compliance.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthias-schneider-134391223/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33a3f0cc53ae97c4aeddb2df62bce1f7bd30ea5a.jpg" } ], "jobs": [ { "id": 99476, "title": "Engineer", "url": "https://www.ycombinator.com/companies/complydo/jobs/oA2oHJC-engineer", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €90K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 94528, "title": "ComplyDo 🌎: Automating how enterprises comply with hundreds of global regulations", "tagline": "More Comply, Less Do.", "body": "Hi, we’re [**Leo**](https://www.linkedin.com/in/leo-schuhmann-324927182/), [**Moritz**](https://www.linkedin.com/in/moritz-moser-99b3a320a/) & [**Matthias**](https://www.linkedin.com/in/matthias-schneider-134391223/), launching [**ComplyDo**](https://www.complydo.io/).\n\n# **TL;DR**\n\n**ComplyDo automates how enterprises comply with hundreds of global regulations.** Already used by leading global players to replace months of manual work, reduce consulting hours, and accelerate market access.\n\n**Ask:** Can you introduce us to compliance, GRC, or audit leaders at enterprises and consultancies? We can help them a lot. Contact: [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\n\nhttps://www.youtube.com/watch?v=qDvBicSeQ0U\n\n# The problem\n\nEnterprises face an explosion of global regulations and standards. ISO, PIPL, NIS2, PCI, DORA, and many more. Due to this complexity, compliance, legal, and audit teams still handle most of the work manually or through consultants: mapping requirements, reviewing policies, collecting evidence, and maintaining spreadsheets. It’s slow, expensive, and limits how fast companies can move.\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/89a03819-0f69-4e68-aa22-0694b846409b)\n\n---\n\n# The solution\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/9057684c-921e-4d4a-adf8-42f72b97f822)\n\n**ComplyDo** automates this painful process. Upload any regulation, standard or requirement file. Our system:\n\n1. Extracts requirements and obligations\n2. Maps them to your internal controls and policies\n3. Identifies gaps and next steps\n4. Monitors changes across frameworks\n\nAlready **used by global enterprises**, ComplyDo helps organizations stay compliant continuously and scale across markets. **Without** a fleet of consultants.\n\n---\n\n# How we got here\n\nWe’ve worked across consulting, software development, and AI, and saw the same issue in every global company. Starting with some of the world’s most innovative enterprises, we went deep into their GRC processes and shifted manual work from compliance teams and consultants to our models. It became the foundation for faster, smarter global governance.\n\n---\n\n---\n\n# Call to action\n\nWe’re expanding with enterprises, innovative consultancies, and certification bodies. **If you work in GRC, internal audit, or cyber/IT compliance**, we’d love to connect! We go above and beyond to eliminate slow, manual work. If someone in your network could benefit, an intro would mean a lot.\n\n📩 [**leo.schuhmann@complydo.io**](mailto:leo.schuhmann@complydo.io)\\\n🌐 [complydo.io](http://complydo.io)\n\n---\n\n**More Comply. Less Do.**\n\n![uploaded image](/media/?type=post&id=94528&key=user_uploads/2687177/d3081360-af6f-4fed-adda-c726d5037ccd)\n\n", "url": "https://www.ycombinator.com/launches/Oae-complydo-automating-how-enterprises-comply-with-hundreds-of-global-regulations", "votes": 66, "created_at": "2025-10-09T18:26:18.676Z" } ] }, { "id": 30919, "name": "Codyco", "slug": "codyco", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f6ef97ecdc81fb89e8dc020bc91142bcb83a908.png", "website": "https://www.codyco.ai/en", "all_locations": "BY, Germany", "long_description": "€5,000 in additional bookings. In 4 weeks. For a 53-room hotel.\r\n\r\nWe help hotel groups turn missed calls into bookings.\r\n\r\nThis it how it works: \r\n\r\n- They send their missed calls to us.\r\n- Our AI answers and takes the booking.\r\n- The booking goes right into their PMS.\r\n\r\nEven with call centers and central reservation departments they are still losing 5% of calls. \r\n\r\nThat is a seven figure revenue leak. \r\n\r\nWhy us? \r\nWe used to build software that can’t fail for massive companies. We started Codyco after a friend told us how much money he was losing from missed calls. We built the first version just for him.\r\n\r\nNow we give hotel groups the reliable AI they need, so they never lose a booking on the phone again.", "one_liner": "The AI Reservation Team for Hotel Groups", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760645667, "tags": [ "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "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/codyco", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/codyco.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/codycoai", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/codyco", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3f6ef97ecdc81fb89e8dc020bc91142bcb83a908.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": 2547250, "full_name": "Stefan Schaff", "title": "Founder/CEO", "founder_bio": "Stefan is the Co-founder of Codyco, based in Munich. A veteran data/AI leader, he has delivered multi-million-euro analytics programs for DAX-listed companies and scaled cross-functional teams from 3 to 12. At Motius (2020–2025), he served as Head of Data & AI, acting as Project Owner and Solution Architect on a €2M rebuild of Siemens’ global invoice analytics (10M invoices/month, 1,000+ users) and leading cloud migrations from SAP to Snowflake/AWS/Glue. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefanschaff/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/acc1dd7b052d528816e481353518ccdad6e5a4f4.jpg" }, { "user_id": 2549838, "full_name": "Endrit Bytyqi", "title": "Founder/CTO", "founder_bio": "Co-founder of Codyco, experienced in building agentic AI products and large-scale data platforms.\nAt Motius, as a Senior Tech Specialist, led a Siemens supply-chain reporting platform integrating 100+ SAP systems. At PRIME, rebuilt analytics pipelines that cut ML runtimes from days to hours. Drove the development of BCG knowledge management platform.\n\nCo-founded Open Data Kosovo; delivered civic-tech products, trained dozens of developers in OSS and co-authored open-source projects.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/endrit-bytyqi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/067e2d698eab0ae2d2a46f4f757fdbcef4c39386.jpg" }, { "user_id": 2421101, "full_name": "Alexander Schober", "title": "Founder", "founder_bio": "Alex is the Co-founder of Codyco, based in Munich. A builder at the intersection of AI, knowledge graphs, and product, he grew a single €60k PoC into an enterprise initiative with €500k+ in signed contracts and a >€1M pipeline, standardizing processes across 17 business units for rollout to 50,000 employees. Earlier at Siemens, he developed one-class anomaly detection for federated learning (PyTorch, Ray) and helped launch the “Tech for Sustainability” program—personally raising €25k and scaling", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-schober/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed2b4c34420ed9a4c1c3e9426b8025bd62a9f640.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94743, "title": "Codyco: AI Receptionists for Hotel Groups", "tagline": "We help hotel groups turn missed calls into bookings!", "body": "# **We made $5,000 in additional bookings. For a tiny 53-room hotel. In just 4 weeks.**\n\n_Watch our Launch Video - [here](https://youtu.be/A7g1MlJDIZ0)_\n\n**Here's how.**\n\n* They forwarded missed calls to us.\n* Our AI answered.\n* They saw bookings appear in their PMS.\n\n6 months after starting we **_already work with 7 hotel groups._**\n\nThe results have been incredible, and that $5k is just one example. For another one **_listen to Felix from the Revo Munich in the Video!_**\n\nThe reason being that even the best central reservation offices and call centers miss 5% of their calls.\n\nAfter hours. During peak hours. On holidays.\n\nFor a mid-sized hotel group, that's a seven-figure \"rounding error.\"\n\nThat’s why we build an AI Receptionist that helps hotel groups turn missed calls into bookings.\\\n\\\n\\_\\_\n\n**🎉 To celebrate, we're offering a one-time AI Ambassador Partnership:**\n\n**→ AI Strategy Workshop** — free (no strings)\n\n**→ Zero Risk Pilot with Codyco** → Money-back if you’re unhappy; if you’re happy, Pilot fee is credited toward your account.\n\n**→ Commit to a roll-out of > 10 hotels** → get 3 hotels free for 3 years (license fees waived)\n\nThe offer closes in 7 days. Details [here](https://www.notion.so/AI-Ambassador-Partnership-Terms-28d0ec9f0e6d80b0b6cedcd4d23628be?pvs=21)\\\n\\\n\\_\\_\n\n**📣 Want to help us?**\n\nIf you know somebody in hospitality, help us get this to the right people.\\\n➡️ Check the list below, any connection is highly appreciated!\n\nIf you are a leader in a hotel group, let’s have 10 minute chat: \\\n➡️ Schedule here: [**https://cal.com/alex-schober/ai-ambassador-partnership**](https://cal.com/alex-schober/ai-ambassador-partnership)\\\n\\\n**\\___\\_**\n\n→ Drury Hotels: [**https://www.linkedin.com/company/drury-hotels/people/**](https://www.linkedin.com/company/drury-hotels/people/%5C**)\n\n→ Hilton: [**https://www.linkedin.com/company/hilton/people/**](https://www.linkedin.com/company/hilton/people/%5C**)\n\n→ Aimbridge Hospitality: [**https://www.linkedin.com/company/aimbridge-hospitality/people/**](https://www.linkedin.com/company/aimbridge-hospitality/people/%5C**)\n\n→ Choice Hotels: [**https://www.linkedin.com/company/choice-hotels-international/people/**](https://www.linkedin.com/company/choice-hotels-international/people/%5C**)\n\n→ Sonesta: [**https://www.linkedin.com/company/sonesta-hotels/people/**](https://www.linkedin.com/company/sonesta-hotels/people/**)", "url": "https://www.ycombinator.com/launches/Oe7-codyco-ai-receptionists-for-hotel-groups", "votes": 14, "created_at": "2025-10-19T21:45:53.736Z" } ] }, { "id": 30920, "name": "Lexi", "slug": "lexi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb8c922483150b7ebb7320f8160a0722809b666c.png", "website": "https://getlexi.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Lexi is an AI operating system for legal teams, law firms, and in-house counsel. It brings legal research, drafting, document review, contract redlining, case workflows, translation, knowledge management, and AI associates into one secure platform.\r\n\r\nLexi is built for enterprise legal work with end-to-end security, role-based access controls, audit trails, encrypted document handling, private workspaces, and deployment options for sensitive legal environments. Legal teams use Lexi to process high-volume legal documents, find answers with verified citations, draft in their preferred style, review contracts, and manage legal workflows from intake to output.\r\n\r\nLexi has processed 5,000,000+ documents across 200,000+ cases for 200+ organizations and law firms, helping lawyers save 10+ hours every week and handle more matters without adding headcount.", "one_liner": "AI Operating System for Legal Teams", "team_size": 15, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1758861304, "tags": [ "SaaS", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Legal" ], "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/lexi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lexi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getlexi", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/lexi-01b1", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eb8c922483150b7ebb7320f8160a0722809b666c.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": 2742687, "full_name": "Harshit Garg", "title": "Founder/CEO", "founder_bio": "Engineer-turned-lawyer and second-time founder. Previously led major technical and compliance projects for Fortune 500 companies before building Lexi.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harshitgarg03/", "x_url": "https://x.com/HarshitGarg03", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d4d85ce8d524c280f4fe52216a960a8317d03f2f.jpg" }, { "user_id": 2650346, "full_name": "Kiran Mohan", "title": "Founder/CTO", "founder_bio": "Founding Team at Ethlas, a Sequoia-backed startup where he scaled the company to 100K+ users and $2M+ in ARR. Previously built high-frequency trading systems at Grasshopper that processed $500B+ in monthly notional volume. \n\nNow revolutionizing the legal industry with AI-powered legal associates at Lexi.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kiranmohanb/", "x_url": "https://x.com/bmnarik", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01094d818af57ec45dfe4542ad4f866566c34238.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95269, "title": "Lexi: AI Associates for Law Firms & Legal Teams", "tagline": "Scale your practice without scaling overhead", "body": "Hi everyone! We’re [Harshit](https://www.linkedin.com/in/harshitgarg03/) and [Kiran](https://www.linkedin.com/in/kiranmohanb/), and we’re building Lexi - AI Associates for law firms & legal teams\n\n### **TL;DR**\n\nLaw firms & legal departments spend countless hours drafting, reviewing, organizing, and managing documents.\n\nUnlike other LegalTech tools, Lexi integrates directly into your workflow, acting as an AI associate that learns your team’s standards, tone, and processes to handle your workflows end to end.\n\n**Lexi saves lawyers 10+ hours of manual work every single week.**\n\n[Lexi Launch Video](https://youtu.be/3LSrawsmCfI)\n\n### 🔴 **The Problem**\n\nLawyers are drowning in low-leverage work.\n\n70% of a lawyer's day is spent on tasks that don't require legal expertise: summarizing documents, drafting routine correspondence, building chronologies, organizing files.\n\nExisting tools don't solve this—they're point solutions that force lawyers to juggle between multiple platforms and subscriptions, slowing them down instead of speeding them up.\n\nThe result? Clients wait for updates, strategy gets postponed, and burnout rises. Even top-tier firms struggle to scale without adding headcount.\n\n---\n\n### 🟢 **The Solution**\n\nLexi doesn't just \"help\" with legal work—it does the work. From intake to delivery, Lexi acts as a trained associate that learns your firm's style, standards, and processes.\n\n**What used to take 8 hours now takes 20 minutes.**\n\n**Document Intelligence**\\\nTransform scattered emails, PDFs, and transcripts into organized, searchable case files. Analyze thousands of documents and extract key information with reliable accuracy.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/de522fac-c1ec-4375-a762-74e096a803f6)\n\n**Drafting**\\\nGenerate polished first drafts of pleadings, contracts, and letters in your firm's voice. Lexi learns your writing style and standards to produce documents that need minimal editing.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/f2be1518-b09f-4069-8f0f-7d2f4b693fdc)\n\n**Contract Review**\\\nReview agreements against your firm's playbooks and flag risky clauses automatically. Lexi learns from your past reviews to improve recommendations and match your standards over time.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/c5c1a104-ed80-4e30-8a1d-1111270646a7)\n\n**Chronology Builder**\\\nBuild comprehensive timelines from thousands of documents. Extract dates, facts, conflicts, and citations instantly—perfect for depositions or trial prep.\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/6b475d7c-a3f7-45c6-90d3-35fe6c15124f)\n\nThe best part: Lexi **Integrates seamlessly** with the tools you use daily: Microsoft Word, Outlook, Google Docs, iManage, and more. No new systems to learn. No workflow disruption.\n\n**The impact?** Firms using Lexi take on **25% more cases without new hires**—reclaiming 10+ hours per lawyer per week.\n\n---\n\n### 🔵 **The Team**\n\nWe've lived this problem from both sides—legal practice and AI engineering.\n\n**Harshit Garg** (CEO) — Practiced law at top firms where he watched talented lawyers lose hours to repetitive work. Built Lexi to give that time back.\n\n**Kiran Mohan** (CTO) — Former Engineering Manager at Ethlas and Shopee. Built AI systems and infrastructure at scale for millions of users. Now building the AI associate every law firm needs..\n\n![uploaded image](/media/?type=post&id=95269&key=user_uploads/2650346/d9190728-ed4d-4e12-acd0-a4cedbd871fe)\n\nWant to see Lexi in action? Book a demo here: [getlexi.io](http://getlexi.io) or reach us at [founders@getlexi.io](mailto:founders@getlexi.io)", "url": "https://www.ycombinator.com/launches/Omb-lexi-ai-associates-for-law-firms-legal-teams", "votes": 487, "created_at": "2025-11-06T19:17:07.374Z" } ] }, { "id": 30921, "name": "Compyle", "slug": "compyle", "former_names": [ "SmartAppetite" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d64e6601db5d659b1726d0d5ea126494391f5f62.png", "website": "https://compyle.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Compyle is a less autonomous coding agent that asks before it acts. We're like Cursor or Claude Code - but you won't need to rewrite your codebase every time you use it for more than a small task.\r\n\r\nWe built Compyle because we were frustrated with the direction other coding agents are headed. They're all racing to be more autonomous, running for hours without human input.\r\n\r\nThis doesn't work for real production code. When agents run autonomously, they make countless small decisions that pile up in your codebase. Engineers lose ownership - they don't know what was implemented, can't effectively debug or maintain it, and struggle to build on top of it. The code becomes a black box, and they're forced to throw it away.\r\n\r\nCompyle keeps engineers in the driver's seat.", "one_liner": "The coding agent that actually collaborates with you", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1760115390, "tags": [ "Developer Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/compyle", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/compyle.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/compyle-ai", "x_url": "https://x.com/compyle_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d64e6601db5d659b1726d0d5ea126494391f5f62.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": 2234809, "full_name": "Jonathan Miranda", "title": "Founder/CEO", "founder_bio": "Jonathan is co-founder and CEO of Compyle.\n\nHe studied Computer Science and Economics at Johns Hopkins University, where he led multiple AI research projects for the CS department and developed snake robots. He also founded Hopkins Deliveries, a campus food delivery service that built cost-effective tele-operated delivery robots. \n\nBefore Compyle, Jonathan was founding engineer #4 at Hadrius (YC W23), where he built core AI systems powering compliance at thousands of businesses today.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/miranda-jonathan/", "x_url": "https://x.com/jonathan_mir12", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7eeff7c340ac579069cf815a16f9f37401340c42.jpg" }, { "user_id": 2179876, "full_name": "Mark Nazzaro", "title": "Founder/CTO", "founder_bio": "Mark is the Co-founder and CTO of Compyle. \n\nPreviously the second engineer at Hadrius, he helped scale the company to its Series A, led engineers, and built much of the core AI product. Before that, at arXiv, he led the move to the cloud and launched its first major UI change in decades.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marknazzaro/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e14c4ace460dcf1ac5c7eb146a7f4b447efb780.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94565, "title": "Compyle - Lovable for Software Engineers", "tagline": "The first coding agent that actually stops and asks questions", "body": "**TL;DR**\n\nCompyle is the coding agent that actually collaborates. It doesn’t just guess what you mean - it asks, plans, and checks in before writing a single line of code. That means you can trust it with bigger and more ambiguous projects than any other coding agent.\n\nhttps://youtu.be/iNQ8G4k03gc\n\n🙏 **Our ask**\n\n**Try our beta today at [compyle.ai](http://compyle.ai)** and let us know what you ship! \n\nJust connect your Github, select your repos, and create a task to get started.\n\n❌ **The Problem**\n\nToday’s coding agents - like Codex, Claude Code, and Devin - excel at small, well-defined tasks. Their autonomous design works best for jobs that need little clarification, such as updating libraries or making simple UI edits.\n\nBut full autonomy becomes a weakness for open-ended work like building new features or products. These agents often press ahead despite unclear or conflicting requirements - and even when they succeed, the resulting code may be hard for teams to understand.\n\nGood engineers know to clarify requirements before coding, check in with product owners to confirm goals, and collaborate with peers to ensure quality. Coding agents should do the same.\n\n🚀 **How Compyle solves this**\n\nCompyle keeps you in full control through a question-driven approach. You describe the task, then Compyle asks questions until it understands what you want to build. It produces research and planning artifacts before writing any code.\n\nDuring implementation, Compyle validates its changes against your decisions. If something doesn't match up, it stops and asks rather than pushing forward. You stay in the driver's seat the entire time.\n\n![uploaded image](/media/?type=post&id=94565&key=user_uploads/2234809/82738600-0f9c-4de5-ab79-57f7cb4424bb)\n\n\n**Our story**\n\nBefore Compyle, we were building SmartAppetite (AI agents for insurance). Using tools like Claude Code and Cursor, we had a demo in days - then spent weeks cleaning up a codebase we no longer fully understood.\n\nWe had to pause feature development just to refactor. That pain is why we built Compyle.", "url": "https://www.ycombinator.com/launches/ObF-compyle-lovable-for-software-engineers", "votes": 38, "created_at": "2025-10-10T21:28:16.037Z" } ] }, { "id": 30922, "name": "Selfin", "slug": "selfin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "website": "https://selfin.app", "all_locations": "San Francisco, CA, USA", "long_description": "Bring us risk. We’ll find the market. Institutional liquidity for event-driven exposure across prediction markets.\r\n", "one_liner": "Institutional liquidity across prediction markets", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1759770880, "tags": [ "Fintech", "Finance", "Investing", "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/selfin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/selfin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/selfinltd/", "x_url": "https://x.com/Selfin_app_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/selfin-58f3", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c62fd75050245643921b794ea15f1786d2ee9033.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6db09708d732386c0e6db60101a970af10ea16c.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1207076, "full_name": "Paula Gutierrez", "title": "Founder/CEO", "founder_bio": "-Aerospace @Imperial, MIT, UC Berkeley\n-Quant @Bank of America, NASA, Rolls Royce, Software engineer startups", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paula-gutierrez-/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f74ab30ecdd25ba29f791a5ddc2cd8b14079639f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95468, "title": "Selfin: building the first AI Bank 🏦", "tagline": "All in one financial platform where you can connect all your financial products", "body": "Hey everyone! 👋\n\nWe are [Paula](https://www.linkedin.com/in/paula-gutierrez-/) and [Joel](https://www.linkedin.com/in/joel-tomas-pimentel/), co-founders of [Selfin](https://selfin.app).\n\n# **TL;DR**\n\nWe are **building the first AI Bank**. We are starting with an all in one financial platform where you can connect all your financial products: credit, investments, crypto, 401k, savings and get personalised recommendations powered by AI.\n\nhttps://youtu.be/yOUaWeDQfk8\n\n# **The problem ❌**\n\n**Banking is painful.**\n\nYour money is scattered across different apps that don’t talk to each other, leading to bad rates, high fees, and poor financial choices. If you actually want to manage your finances properly, you end up juggling budgeting tools, spreadsheets, and hours of research.\n\n# **The solution ✅**\n\nThat’s why we’re building Selfin. We want to create a banking experience with full context of your personal situation. Our mission is to create personalised financial products and ultimately build the first large AI-native neobank in the US.\n\nWe’re starting with an AI-powered assistant that acts for you, using financial agents to automate everything. And we will incorporate further banking products along the way.\n\n![uploaded image](/media/?type=post&id=95468&key=user_uploads/2892767/e3a9f229-6525-4570-8f67-ecd36ebdf3b8)\n\n# **The team** 🚀\n\nWe met each other while studying at Imperial in the UK, and after moving to the US to finish our master’s thesis at MIT & Stanford, we realised how lagging the US banking experience was compared to other places.\n\nWe couldn't stand the status quo, so we're fixing it.\n\nPaula - Aerospace Eng grad from Imperial & MIT, previously worked at NASA and BofA\n\nJoel - Aerospace Eng grad from Imperial & Stanford, previously worked at BCG\n\n# **Our Ask 💬**\n\n**Get early access and become one of our beta testers** at [www.selfin.app](http://www.selfin.app)\n\nWe are determined to build something people want, so if you want to help us shaping our product with your feedback, join the waitlist and/or contact us:\n\n[admin@selfin.app](mailto:admin@selfin.app)", "url": "https://www.ycombinator.com/launches/Opo-selfin-building-the-first-ai-bank", "votes": 757, "created_at": "2025-11-12T22:01:40.193Z" } ] }, { "id": 30924, "name": "Casey", "slug": "casey", "former_names": [ "Clausee" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa8267b34eb44ac708090ff04ca6eeef01fa75d3.png", "website": "https://caseyinsure.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Casey is an AI-native commercial insurance brokerage. Our insurance brokers focus on client relationships and closing business, whilst our AI handles all the operational work behind the scenes.\r\n\r\n", "one_liner": "Casey is an AI-native commercial insurance brokerage", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1759942019, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/casey", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/casey.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/casey-labs/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa8267b34eb44ac708090ff04ca6eeef01fa75d3.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": 2628780, "full_name": "Maximilian Thoelen", "title": "Founder", "founder_bio": "Co-Founder @ Casey. Previously Chief of Staff at grape insurance, Switzerland’s leading insurtech scaleup. Ex-Amazon & private equity.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maximilian-thoelen/", "x_url": "https://x.com/MaxThoelen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ab6f4f68e4c4219d2c0cce3126c10272f68ea3c8.jpg" }, { "user_id": 3005184, "full_name": "Nico Hänggi", "title": "Founder", "founder_bio": "Co-Founder @ Casey. Previously tech lead at grape insurance, Switzerland’s leading insurtech scaleup. Background in CS from ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicohaenggi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8051c94f33a8c0146c7e9d24393428fe2cd13553.jpg" }, { "user_id": 668452, "full_name": "Pascal Küng", "title": "Founder", "founder_bio": "Co-Founder @ Casey. Previously VP of Engineering at grape insurance, Switzerland’s leading insurtech scaleup. Computer Science at ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pascalkueng/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10cd27424abb42336558672b61e68bbe0083ce68.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94777, "title": "Casey: The infrastructure layer for insurance distribution", "tagline": "Helping commercial insurance brokers submit complex risks to insurance carriers", "body": "**Casey automates the core submission infrastructure of commercial insurance**\n\n**TL;DR:** Commercial insurance is a $500B market - and the infrastructure behind it is still manual. Commercial brokers dealing with complex risks spend half their day not advising clients, but retyping the same data across PDFs, portals, and carrier forms. That manual submission workflow is the single largest bottleneck in insurance distribution, and nobody has successfully automated it for complex risks.\n\nThat’s where Casey comes in.\n\n### **What Casey does**\n\n* Ingests client + risk data directly from broker systems\n* Auto-fills carrier applications & required supplemental forms in one click\n* Handles carrier follow-up questions, automatically matching these to existing data\n* If new info is required, generates the request and sends it to the client\n* Once complete, sends the full submission package to any carrier\n\n**The user uploads the documents needed for submission, and our system creates a custom risk profile based on the required data:**\n\n![uploaded image](/media/?type=post&id=94777&key=user_uploads/2628780/565403c8-e7e8-46c2-bdeb-fd134aee604d)\n\n**The custom risk data is generated, the user uploads SOVs which they received from the client, and the custom risk data is populated:**\n\n![uploaded image](/media/?type=post&id=94777&key=user_uploads/2628780/fe84393a-fb93-4839-ac5e-606b0faa6723)\n\n**The required forms for the submission are completed with the required risk data:**\n\n![uploaded image](/media/?type=post&id=94777&key=user_uploads/2628780/394e0e97-7e12-4e43-ba01-1e47d5b08835)\n\n### **Why it matters**\n\nThe first wave of insurtech largely focussed on automating smaller, simpler risks. Casey is built for the complex, high-premium business that actually drives revenue. This automation infrastructure enables clients to receive policies in a matter of days, compared to what now takes >1 month.\n\n![uploaded image](/media/?type=post&id=94777&key=user_uploads/2628780/e88a0a3b-c509-49bf-bb85-cad41a44e0c2)\n\n### **Our Story**\n\nWe’re [Max](https://www.linkedin.com/in/maximilian-thoelen/), [Nico](https://www.linkedin.com/in/nicohaenggi/) & [Pascal](https://www.linkedin.com/in/pascalkueng/) (left to right)\n\nWe previously built & scaled **Switzerland’s leading insurtech**, grape, as:\n\n* **Employee #1** - Head of Engineering (Pascal)\n* **Employee #2** - Tech Lead (Nico)\n* **Employee #10** - Chief of Staff (Max)\n\n![uploaded image](/media/?type=post&id=94777&key=user_uploads/2628780/9ad070fa-d6b6-41b8-a322-32f7353424a1)\n\n### **Our Ask**\n\nFurther intros to insurance brokerages who want to stop wasting time on manually filling out forms and pdfs, but instead want to focus on their clients.\n\n💻  Book a [demo](https://meetcasey.ai/)\n\n🌐 Follow Casey on [LinkedIn](https://www.linkedin.com/company/casey-labs/)", "url": "https://www.ycombinator.com/launches/Oef-casey-the-infrastructure-layer-for-insurance-distribution", "votes": 308, "created_at": "2025-10-20T17:10:45.372Z" } ] }, { "id": 30925, "name": "Paceline Bio", "slug": "paceline-bio", "former_names": [ "Play Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/52ae3355c425a5e6bfaad9876e3d186dff23a243.png", "website": "https://paceline.bio/", "all_locations": "Boulder, CO, USA", "long_description": "Paceline Bio runs the research and clinical ops layer behind biotech and pharma company who want to move fast, starting with biospecimen collection, logistics, and storage. We're built to get you from scope to signature in just one day so you can accelerate your programs.", "one_liner": "Biospecimen logistics & operations layer to accelerate drug dev", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1760457684, "tags": [ "AI-powered Drug Discovery", "Biotech", "Drug discovery", "Biotechnology" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paceline-bio", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/paceline-bio.json", "year_founded": 2025, "city": "Boulder", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paceline-bio/", "x_url": "https://x.com/playhealthco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/52ae3355c425a5e6bfaad9876e3d186dff23a243.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": [], "jobs": [], "news": [], "launches": [] }, { "id": 30928, "name": "Darwin", "slug": "darwin", "former_names": [ "Thesis Labs", "Thesis", "Darwin", "Thesis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "website": "https://darwinrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Darwin Robotics creates general-purpose robots to build and maintain the machines civilization runs on.\r\n\r\nWe're starting with AI infrastructure, where skilled technicians perform a long tail of physical work across assembly, installation, commissioning, and maintenance. Our robots learn new tasks from demonstrations rather than being explicitly programmed for each workflow.\r\n\r\nFirst deployments are planned for early 2027.", "one_liner": "Robots to build civilization", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762476616, "tags": [ "Hard Tech", "Machine Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "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 are brothers and have been building things together our whole lives. We grew up in the Caribbean with our mom, obsessed with math and computers. Sergio taught himself calculus from MIT OpenCourseWare at 12, published mathematics as a teenager, and later worked on AI and robotics at Stanford, Nvidia, and Google X. Luigi studied math and CS at Columbia, then co-founded a payments company where he scaled engineering from zero to billions in transaction volume.\r\n\r\nAs kids, we built worlds in Minecraft. Now, we’re building robots." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We sit at the dawn of a new era in civilization. AI is beginning to solve problems across science and mathematics that were previously impenetrable. Yet this intelligence is still largely confined to the screen.\r\n\r\nWe believe the next frontier is physical. Our goal is embodied artificial general intelligence.\r\n\r\nWhen we succeed, billions of intelligent robots will work alongside humans, performing useful work and expanding what humanity is capable of." } ], "url": "https://www.ycombinator.com/companies/darwin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/darwin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/darwin-robotics-inc", "x_url": "https://x.com/darwin_robotics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Darwin-Robotics-Inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/834b16b30c5de79bf9dbcd0a4819289bfa937936.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/415cd09f20efd72acec243c4e7b73ccb3b01cd35.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 455353, "full_name": "Sergio Charles", "title": "Founder/CEO", "founder_bio": "Robots to build civilization. Prev: AI R&D at Google X, NVIDIA, and Stanford AI Lab, working with Chelsea Finn on autonomous RL for robotics and Andrew Ng on computer vision. Stanford B.S. Math & CS, M.S. Stats.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergio-charles-5a8052134/", "x_url": "https://x.com/eigentopology", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba455346463b0d6acae18a8bcd3d2bba294bfdb5.jpg" }, { "user_id": 1021038, "full_name": "Luigi Charles", "title": "Founder", "founder_bio": "Building Westworld. Previously founded a fintech payments startup, scaling volume from zero to billions. Columbia CS & Math.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luigicharles", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca6e645d2ffabef7f901b4d6e1aec82d02f81657.jpg" } ], "jobs": [ { "id": 96229, "title": "Member of Technical Staff, AI & Robotics", "url": "https://www.ycombinator.com/companies/darwin/jobs/R8xvEoc-member-of-technical-staff-ai-robotics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $170K", "equity_range": "0.75% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Git", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)", "CUDA", "Microcontrollers", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 95309, "title": "δ Thesis: Building the frontier of AI discovery", "tagline": "Making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.", "body": "Thesis is an applied AI lab accelerating the frontier of AI discovery.\n\nWe're making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.\n\n**Mission**\n\nOur mission is to make state-of-the-art AI discovery 10x faster and 10x cheaper. The big labs are racing to get there, but their need to productize and turn a profit has already weighed them down. Thesis embraces rapid experimentation and novel fundamental research. Our singular focus, outcome-driven mindset, and early results give us confidence that we can get there first.\n\n**Results**\n\nThesis is state-of-the-art on OpenAI’s Machine Learning Engineering benchmark ([MLE-Bench](https://github.com/openai/mle-bench?tab=readme-ov-file#mle-bench)).\n\nMLE-Bench tests how well AI systems can train ML models autonomously, a first step toward self-improving systems. We achieved this result in the record time of 1 month and with only $10k in compute. Agents will get you far, but not far enough. Our methods mix old school with new, and have already outperformed teams of researchers at Microsoft, Google, Meta, and Baidu.\n\n![uploaded image](/media/?type=post&id=95309&key=user_uploads/455353/310c8083-1512-40c3-8e31-c1cc941f3634)\n\n**Team**\n\nLuigi and Sergio are brothers. Back in 2021, Sergio [wrote about a future where AI could create its own algorithm](https://cs229.stanford.edu/proj2021spr/report2/82285254.pdf)s. With today's foundation models, that future is suddenly within reach.\n\nSergio worked on AI R&D at Google X, Nvidia, and Stanford’s AI Lab (SAIL). He has published work at NeurIPS and ICML, and has worked with Chelsea Finn and Andrew Ng.\n\nLuigi built Sphere, a fintech company that processes billions of dollars every year in global cross-border payments. Sphere was recently valued at $250 M+ in its Series A round.\n\n**10 Year Vision**\n\nThe holy grail of AI is building self-improving systems that, guided by human creativity, enable breakthroughs and new paradigms achieving state-of-the-art results under resource constraints.\n\nIn the limit, our engine will expand beyond ML to every domain of science, from computational biology, to theoretical mathematics and physics. Thesis will autonomously discover new knowledge and become the driving force behind humanity’s scientific progress.\n\n**Our Ask**\n\nWe collaborate with leading institutions, startups, and independent researchers around the world. If you’re interested in what we’re building, please get in touch: \\[[ask@thesislabs.ai](mailto:ask@thesislabs.ai)\\](mailto:[ask@thesislabs.ai](mailto:ask@thesislabs.ai))", "url": "https://www.ycombinator.com/launches/OnF-thesis-building-the-frontier-of-ai-discovery", "votes": 232, "created_at": "2025-11-11T16:40:14.609Z" } ] }, { "id": 30929, "name": "Radius", "slug": "radiusbrowser", "former_names": [ "sandbox.ai", "Cheepr.ai", "FunForge.ai", "Inspector", "Sol" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbe7084af8a106e89b75c980e855e0e9ac2aaedf.png", "website": "https://www.radiusbrowser.com", "all_locations": "San Francisco, CA, USA", "long_description": "Radius is a browser where developers can orchestrate agents from their tabs. Ship 100x from a single place where agents can see, navigate, and act on your workspace.", "one_liner": "Code and browse in the same place", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1762248076, "tags": [ "Developer Tools", "Design", "Design Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/radiusbrowser", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/radiusbrowser.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/radiusbrowser/", "x_url": "https://x.com/radius_browser", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dbe7084af8a106e89b75c980e855e0e9ac2aaedf.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": 1748712, "full_name": "Quentin Romero Lauro", "title": "Founder/CEO", "founder_bio": "Previously @ Character.AI, Berkeley EECS, CMU HCII, and Pitt", "is_active": true, "linkedin_url": "https://linkedin.com/in/quentinrl/", "x_url": "https://x.com/QRomeroLauro", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e892207474f9adb707f0f7214eba3bd08f5c79d3.jpg" }, { "user_id": 1799847, "full_name": "Michael Klikushin", "title": "Founder/CTO", "founder_bio": "GT CS dropout. Prev @ Oracle, CMU HCII.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mklikushin", "x_url": "https://x.com/mkliku", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3802fcf3067efe88b02d36a3676e7ab260efb5cc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95471, "title": "Inspector—AI IDE for front-end", "tagline": "Inspector helps front-end engineers ship faster with AI by automating the most frustrating part of the job — gathering context between the browser and the codebase.", "body": "https://www.youtube.com/watch?v=Bxd1kO10qz4\n\n\\\n\\\nWe’re [Michael](https://x.com/mkliku) and [Quentin](https://x.com/Qromerolauro) from **Inspector**, and we’ve spent the past few years building tools and interfaces that sit between humans and computers — from **HCI research** at **Carnegie Mellon** to products at **Character AI** and **Oracle.**\n\nWhen we started building web-based games, we were spending **12 hours a day tweaking front-ends** and going through the same loop over and over: wireframing in Figma, adding screenshots to Cursor, and debugging in Chrome DevTools. It felt like a constant game of telephone to get our agents the right context from the DOM, codebase, and how it actually looked.\\\n\\\nThat’s why we built **Inspector**, an AI IDE for front-end that connects your browser and codebase. Inspector lets you **select elements visually** and **prompt changes**, giving coding agents access to the same runtime context developers have: **visuals, elements, and logs**. With Inspector, you’re editing right in the front-end, not buried under tabs and screenshots.\n\n# \n\n# **Inspector lets you:**\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/3679fe55-2611-4093-9ef5-bc6d6cfbe022)\n\n**Take DOM-aware screenshots** that snap to elements and **auto-attach to chat.**\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/7673c2d3-c252-442c-8714-32468eeee92b)\n\nClick elements to use **their exact place in your codebase** as context for your agent run.\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/4a9af745-7468-4584-88ae-3ad98c89a426)\n\nUse the terminal tool to **attach DevTools terminal output** straight to the conversation.\n\n# **Our Ask:**\n\n* If you’re a front-end dev, **check out Inspector** at [tryinspector.com](http://tryinspector.com) \n* Let us watch you code. If you’re a front-end developer email us at [founders@tryinspector.com](mailto:founders@tryinspector.com) so we can learn more about how you work!\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/22f1298d-56d2-4949-a642-6443a28c4b0f)\n\n![uploaded image](/media/?type=post&id=95471&key=user_uploads/1799847/69870ad5-f57d-48f0-85fe-ef1b9382ea52)\n\n", "url": "https://www.ycombinator.com/launches/Opr-inspector-ai-ide-for-front-end", "votes": 38, "created_at": "2025-11-12T23:10:49.777Z" } ] }, { "id": 30930, "name": "Cortex AI", "slug": "cortex-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.png", "website": "https://cortexrobot.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Cortex AI builds the world’s most diverse and large-scale real-world workplace robot & egocentric dataset — where the physical world becomes the next training and evaluation set for embodied AI.\r\n\r\nWe power frontier labs developing robotics foundation models and general-purpose robots by providing the data they need:\r\n1️⃣ Egocentric Data — real-workplace human video with hand/body pose, depth, and subtask labels.\r\n2️⃣ Robot Data — trajectories collected from manipulators and humanoids in real industry settings.\r\n3️⃣ Human-in-the-Loop Rollouts & Evals — real-world deployments with remote operators who recover robots when they fail, capturing data that feeds back into training and continuously improves models.\r\n\r\nAdditionally, through the Cortex Marketplace, workplaces get paid to host data-collection and evaluation sessions, while labs access the in-the-wild data that truly matters. This draws on Lucas’s previous experience as co-founder of Carousell, a C2C marketplace that scaled to a $1B+ valuation.", "one_liner": "Large-scale real-world robot & human data for embodied AI", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1760045430, "tags": [ "Reinforcement Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/cortex-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/cortex-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cortexairobot", "x_url": "https://x.com/cortexairobot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/cortexairobot", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c9246b8eba5ba12a7373a930ea46cc687dddb98.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": 53734, "full_name": "Lucas Ngoo", "title": "Founder/CEO", "founder_bio": "Founder and CEO of Cortex AI. We're building the world's most diverse real-world, real-workplace, and industry-scale egocentric + robot dataset. Prior to Cortex AI, Lucas was the co-founder and CTO of Carousell (valued at $1B+).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucasngoo", "x_url": "https://x.com/lucasngoo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b1f0f258b2fb62b1c7c32ca14e38ec0350b7ff4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95318, "title": "🦾 Cortex AI — Large-Scale Real-World Data for General-Purpose Robotics", "tagline": "Turning the real physical world into the next dataset for general-purpose robotics.", "body": "We’re building the world’s most diverse _real-world, real-workplace_ egocentric + robot dataset — where the **real physical world itself** becomes the next training and eval set for embodied AI.\\\n\\\n🌍 **The Problem**\\\nMost robotics datasets today are captured in lab environments or simulated settings — far removed from the **real physical world** where robots actually need to operate.\\\n\\\nThese datasets helped build the foundation models we have today, but the **next phase** of embodied AI needs to learn directly from the real world — from the noise, diversity, and complexity of real workplaces.\\\n\\\n🤖 **The Solution**\\\n\\\nFrontier labs use **Cortex AI** through 3 stages:\\\n1️⃣ **Get real-world egocentric data** → for world model + robotics foundation model pretraining\\\n2️⃣ **Collect real robot data** in real workplaces\\\n3️⃣ **Roll out policies** across real-world environments → the best evals happen in the real world, with our operators providing human-in-the-loop support to capture recovery data\\\n\\\nhttps://youtu.be/HD-weWSzy4Y\n\n\\\n🏭 **Cortex Marketplace**\\\nWe’re also launching the **Cortex Marketplace**, where _real workplaces get paid_ to host egocentric-capture and robot-teleop sessions — fueling a scalable pipeline of high-quality, real-world robotics data.\\\n\\\n👥 **The Team**\\\nPrior to Cortex AI, **Lucas Ngoo** co-founded and served as CTO of Carousell, scaling it from an idea into a $1B+ valuation marketplace used across Asia.\\\n\\\n🙏 **Our Ask**\\\nIf you work with or know teams at **frontier robotics labs** (humanoid companies, robotics foundation model research groups and teams), please make an intro ([lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)) — we’d love to collaborate, thank you!\n\n🔗 [cortexrobot.ai](https://cortexrobot.ai)\\\n📩 [lucas@cortexrobot.ai](mailto:lucas@cortexrobot.ai)\n\n![uploaded image](/media/?type=post&id=95318&key=user_uploads/53734/069d07db-9cdf-4720-96b4-a7077818cb06)\n\n", "url": "https://www.ycombinator.com/launches/OnO-cortex-ai-large-scale-real-world-data-for-general-purpose-robotics", "votes": 20, "created_at": "2025-11-08T15:29:09.944Z" } ] }, { "id": 30931, "name": "Pixley AI", "slug": "pixley-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fed7dace3f2d8cdd9b201c782646c8ba0cc231c.png", "website": "https://pixleyai.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pixley turns kids' drawings and ideas into fully animated cartoons – in minutes.\r\n\r\nKids are natural storytellers. With Pixley, any kid can draw a character, describe a world, and watch their story come to life as a personalized animated cartoon.\r\n\r\nMost kids' screen time is broken: passive, algorithmic content designed to keep kids watching, not growing. Pixley is the antidote. Every episode is safe, ad-free, and built around Social-Emotional Learning (SEL). Parents can choose any lesson they want to teach their child, and Pixley weaves it naturally into the story their kids create. We're building the creative platform for the next generation – where kids are the directors, not just the audience.\r\n\r\nAdditionally, the same technology powers Pixley Studios, our B2B content service for brands and content creators who want to produce high-quality AI video without the cost or time of traditional production.\r\n\r\nWe’re 19 year old CS dropouts who’ve known each other since elementary school and won 4 hackathons at 15. After seeing AI flood the internet with low-quality content, we created Pixley – a safe, personalized way for kids to turn their ideas into animated stories.", "one_liner": "The first platform where families can create AI cartoons in minutes", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1759526048, "tags": [ "AI-Enhanced Learning", "Generative AI", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Content" ], "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/pixley-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/pixley-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pixley-ai/?viewAsMember=true", "x_url": "https://x.com/PixleyAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fed7dace3f2d8cdd9b201c782646c8ba0cc231c.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": 2479306, "full_name": "Krish Iyengar", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO @ Pixley AI (F25)\n\nBefore leaving Purdue, Krish studied Computer Science and built strong expertise in consumer apps by developing and launching 5 mobile apps and completing multiple internships. He also gained deep insights into the video generation space and has won four hackathons with his co-founder, Pranit.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/krish-iyengar/", "x_url": "https://x.com/Krish5Iyengar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/42d493a864be71585f3535c53ec91779041c783e.jpg" }, { "user_id": 2396632, "full_name": "Pranit Agrawal", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Pixley AI (F25). Building AI video end to end: a consumer app where kids turn their drawings and ideas into cartoon characters that teach them educational lessons through personalized animated stories, storybooks, and games. Also built Pixley Studios, a B2B AI video production platform for brands. Built and shipped both products from zero.\n\nPrev: Fable Security (Greylock-backed), Stanford, PressW. UCLA CS dropout at 19.", "is_active": true, "linkedin_url": "https://linkedin.com/in/pranit-agrawal", "x_url": "https://x.com/PranitAgrawal4", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e56de13c40cf2621f9d283752f7b86ad482e5fc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94447, "title": "Pixley – Personalized AI Cartoons 📺", "tagline": "Pixley is a platform that turns kids’ drawings and ideas into personalized, educational cartoons", "body": "Hey everyone! 👋\\\n\\\nWe’re [Pranit](https://www.linkedin.com/in/pranit-agrawal/) and [Krish](https://www.linkedin.com/in/krish-iyengar/) – the co-founders of [Pixley AI](https://pixleyai.com/).\n\n**Pixley turns kids’ drawings and ideas into personalized, high-quality animated episodes – guided by parents’ educational and behavioral goals.**\n\n![uploaded image](/media/?type=post&id=94447&key=user_uploads/2396632/e8c1fb0c-2d87-4bce-877f-524eb4dd3b71)\n\n# **TL;DR**\n\n* **🎨 From doodles to characters instantly**: Draw on your screen or upload a picture and watch it come to life in seconds\n* **🧑‍🏫 Parent-guided learning:** Parents can simply describe any lesson they’d like to teach their child, and we’ll create an entire cartoon episode for it\n* **📞 Character calling:** Kids can hop “on the phone” with their new friends, and talk endlessly about any educational topic\n* **📚 Educational, Active Learning:** Make screen time engaging and safe while encouraging creativity\n\n**_Ask:_**\n\n👉 _Use our [website](https://pixleyai.com/) and [iOS App](https://apps.apple.com/us/app/pixley-personalized-cartoons/id6751121342) to create any cartoon you want!_\n\n👉 _Share this post! We all know parents and teachers that could benefit from Pixley_\n\n👉 _Send any feedback over to [admin@pixleyai.com](mailto:admin@pixleyai.com)_\n\n### https://youtu.be/h9sc9PgjfC0\n\n### **❌ The Problem**\n\n**Endless Scrolling**\n\nKids aged 2-8 spend an average of **2 hours and 48 minutes every day** on screens. Nearly all of it is passive consumption of algorithm-driven videos, with little opportunity for creativity or active learning.\\\n\\\n**Guilt Without Good Options**\n\nParents prefer screen time that is both fun and educational. Right now, they have to choose between entertaining caartoons designed for engagement, or educational apps that feel like homework.\n\n**Behavioral Learning is Overlooked**\n\nStudies show Social and Emotional Learning (SEL) programs boost achievement by **11 percentile points**. Yet schools rarely emphasize it. That leaves kids missing critical skills – like handling frustration, working with others, and bouncing back from setbacks – lessons every parent wants taught early.\n\n### ✅ Our Solution\n\nAt Pixley, we are using the newest video generation technologies to allow families to make AI cartoon shows within minutes.\n\n⏳ **Instant Character Creation**\n\nChildren can draw directly on the screen or upload any picture – even a photo of themselves, their family, or friends. Pixley transforms it into a fully animated character in seconds, which can be saved into the character library and used in future episodes. For the first time, your child can actually **star in their own cartoons.**\n\n![uploaded image](/media/?type=post&id=94447&key=user_uploads/2396632/6251e031-0c2d-49e0-83a4-2daeae7c20d2)\n\n📺 **Personalized Cartoon Episodes**\n\nParents simply describe what they want the episode to be about – from sharing with siblings, to learning fractions, or exploring space. Pixley generates an entire animated episode around that theme, starring the child’s characters, within minutes.\n\n![uploaded image](/media/?type=post&id=94447&key=user_uploads/2396632/706b3cee-18f4-45ea-b687-e68db2f73a79)\n\n**📞 Character Calling**\n\nKids can “call” their characters and hold conversations on any topic, like FaceTiming a cartoon friend that never runs out of things to say. Our characters will personalize to your child and teach them about their favorite topics!\n\n![uploaded image](/media/?type=post&id=94447&key=user_uploads/2396632/46e126b1-ce44-4119-a242-0260b7f84921)\n\n**🌎 The Storyverse**\n\nDon’t have time to make an episode? No worries, our Storyverse has a growing library of Pixley Original educational cartoons that are ready to watch!\n\n![uploaded image](/media/?type=post&id=94447&key=user_uploads/2396632/150a8e8a-08cf-4dbe-8a7d-3c45513459a4)\n\n### **🙏 Our Ask**\n\n**Try it out yourself @ [pixleyai.com](https://pixleyai.com) and download our [iOS App](https://apps.apple.com/us/app/pixley-personalized-cartoons/id6751121342)**\n\n\\*\\*Share this post to anyone and everyone!\\*\\*\\\n\\\n**Reach out: [admin@pixleyai.com](mailto:admin@pixleyai.com)**", "url": "https://www.ycombinator.com/launches/OZL-pixley-personalized-ai-cartoons", "votes": 55, "created_at": "2025-10-07T18:17:34.398Z" } ] }, { "id": 30932, "name": "Leadbay", "slug": "leadbay", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ac409b36b40159c5b6860f03b4e792466ac32c.png", "website": "https://leadbay.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Leadbay qualifies leads for agentic workflows.\r\n\r\nTeams at L'Oréal, Saint-Gobain, Gerflor USA, Corgi, and Nespresso B2B have 3x'd their addressable market and 10x'd what they defined as \"qualified leads\". Talking to our customers, we used to hear, \"10 minutes on Leadbay beats 6 months with Clay and a GTM agency.\"\r\n\r\nCo-founders are Milan Stankovic (CTO) - PhD to make AI work with limited data, and Ludovic Granger (CEO). \r\n\r\nCreate an account.\r\nA new market is yours.\r\nleadbay.ai.", "one_liner": "Qualified leads for agentic workflows.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1760047494, "tags": [ "B2B", "Sales", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/leadbay", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/leadbay.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/leadbay", "x_url": "https://x.com/LeadbayAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/leadbay-6249", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ac409b36b40159c5b6860f03b4e792466ac32c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de9398c4e304e16b92b17437843037158d1a7367.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1301517, "full_name": "Ludovic Granger", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Leadbay. Previously an early employee at an EU-US VC firm, I then built a community of 300 sales reps - the perfect playground to iterate on underserved B2B use cases. Studied Finance at IÉSEG School of Management.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ludovic-granger", "x_url": "https://x.com/ludogranger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c9ead1f3907ad8b9834c0cb33e0021e7eac9758.jpg" }, { "user_id": 506565, "full_name": "Milan Stankovic", "title": "Founder/CTO", "founder_bio": "Co-founder of Leadbay (F25). PhD in Artificial Intelligence. Previous exit. Making computers better companions to humans. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/milanstankovic", "x_url": "https://x.com/milstan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea800c9cca606102555aa4c1a262ab9cada8466.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94693, "title": "Leadbay AI: 3x more SMBs than Linkedin. Qualify the 99% you miss with Clay.", "tagline": "Leadbay discovers and qualifies leads that couldn't be found before. ", "body": "Hey everyone 🤘🏻\n\nWe’re[ Ludo](https://www.linkedin.com/in/ludovic-granger/) and[ Milan](https://www.linkedin.com/in/milanstankovic/) - co-founders of Leadbay.\n\n**TL;DR:** You might think that Linkedin, Clay, ZoomInfo have you covered. They don’t. They miss 70% of US companies, and cover only 0.001% of digital signals/intent. Leadbay discovers and qualifies SMB leads others can’t find. Our customers 5X prospecting efficiency by simply unlocking untapped opportunities in the most data-scarce, fragmented markets.\n\n👉🏼 [Try it.](https://wow.leadbay.ai/) Get 50 free leads, qualified for you.\n\nhttps://youtu.be/IYD5HXaBGY4\n\n**HOW DOES IT WORK?**\n\n1. Start with your company email address. \n2. That’s it.\n3. (Optional) Upload a list of won/lost leads.\n\n**RESULTS - SALES REPS GET HOOKED !**\n\nWe closed small-to-enterprise deals with companies targeting SMBs in construction, hotels & restaurants, startups and retail.\n\n→ Our customers 5X their prospecting efficiency,\n\n→ 55% of their closed deals come from companies that were never on their radar,\n\n(One client even told us they sometimes used Leadbay while on the toilet—which inspired our first viral campaign 🚽).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/c818b899-6a77-4cb8-a3a9-82f1fb7156b6)\n\n**OUR VISION:**\n\n3X our customers’ Total Addressable Market by making invisible companies visible.\n\n**ORIGIN STORY:**\n\nMilan (CTO), is a PhD to make AI work with limited data.\n\nIn 2023, he joined Ludo (CEO), who had brought a **community of 300 sales reps** from his family and VC background — the perfect playground to iterate on underserved use cases.\n\nTogether, they set out to tackle what every sales team wants: **discover and qualify untapped opportunities.**\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/0e4c2040-2165-41b5-86a9-02472cf4f9b5)\n\n**READY TO GROW YOUR BUSINESS WITH LEADBAY?**\n\n1. [Try it](https://wow.leadbay.ai/). Get 50 free leads, qualified for you.\n2. Intro me ([ludo@leadbay.ai](mailto:ludo@leadbay.ai)) to Enterprise sales teams prospecting SMBs (Kimball Midwest, Core-Mark International, Reece USA, Owens Corning, PPG Industries, Deel, Rippling…).\n\n![uploaded image](/media/?type=post&id=94693&key=user_uploads/1301517/e96861bf-f41e-4f46-92e2-03565b3a7cf7)\n\n", "url": "https://www.ycombinator.com/launches/OdJ-leadbay-ai-3x-more-smbs-than-linkedin-qualify-the-99-you-miss-with-clay", "votes": 292, "created_at": "2025-10-16T14:45:45.603Z" } ] }, { "id": 30933, "name": "Nucleo", "slug": "nucleo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c489d64c631359b79077be36194f234ac5e83b2c.png", "website": "https://nucleoresearch.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We help oncologists and radiologists extract insights from CT scans to support tumor characterization and treatment.\r\n\r\nThe hospitals we work with include Stanford Hospital, Cedars-Sinai, UCI Health, and Weill Cornell.", "one_liner": "The first Agentic platform for Oncology", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1761179954, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nucleo", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/nucleo.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nucleoresearch", "x_url": "https://x.com/nucleo_research", "fb_url": "https://www.facebook.com/profile.php?id=61581747160051", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c489d64c631359b79077be36194f234ac5e83b2c.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": 1402780, "full_name": "Angelica Iacovelli", "title": "Founder/CEO", "founder_bio": "Angelica Iacovelli is the CEO and co-founder of Nucleo. \n\nPreviously, she was a researcher at Stanford University, where she worked on cardiovascular modeling, simulating blood flow dynamics using GNNs, LSTMs, and Transformers. The models are now part of NVIDIA’s scientific libraries. \n\nShe holds BS+MS in Mathematical Engineering from Politecnico di Milano and completed a research exchange at IIT Madras. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angelica-iacovelli-490a8a1a7/", "x_url": "https://x.com/AngelicaIAC", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1645aa2b505b09627ac92eea2c76c935191857c3.jpg" }, { "user_id": 2780313, "full_name": "Luca Pegolotti", "title": "Founder/CTO", "founder_bio": "I am a researcher in Applied Mathematics and AI for healthcare by training. I hold degrees from Politecnico di Milano, Italy (BSc) and EPFL, Switzerland (MSc and PhD), and have conducted research at the Stanford School of Medicine during my PhD and as a Postdoc. Before founding Nucleo, I was part of Apple Health AI, where I worked on physics-informed machine learning.\n\nI've published papers on computational methods, cardiovascular system modeling, and AI for medical images and optical sensors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luca-pegolotti/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b5e086e7f4a53cbb724ecdb29b136009832e322a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95157, "title": "Nucleo: Automated Cancer Diagnostics", "tagline": "We help oncologists and radiologists extract insights from CT scans to characterize and treat tumors.", "body": "[Nucleo](https://www.youtube.com/watch?v=gR84avz0zkc)\n\n**👉 [Learn more about Nucleo](https://nucleoresearch.com/)**\n\n**👉 [Contact us](mailto:angelica@nucleoresearch.com)**\n\n### **Problem**\n\nCancer is not only a biological disease; it is a **logistical failure**.\n\nCancer is responsible for 1 in 6 deaths \\[1\\]. ≃ 20% of those deaths happen simply because proven treatments start too late. The latest registry data show that the median **diagnostic interval** in the United States is about 36 days \\[2,3\\], while the median **time-to-treatment** initiation is roughly 32-41 days (≈38 days on average) \\[4,5\\]. So a typical American with cancer waits ≈ 9-11 weeks (65-80 days) before therapy actually starts.\n\nA four-week delay after diagnosis adds 6–13% relative mortality; risk rises another ≈8 % for each additional 4 weeks (e.g. 12-week delay ≈ +26-30 % mortality) \\[6\\].\n\nBy automating key tasks in the oncological workflow we plan to cut 9-11 weeks to ≤ 10 days.\n\n### **Solution**\n\nThe doctor imports the CT scan. Our AI-powered software automatically extracts key oncological metrics such as sarcopenia, body composition assessment, lesion volume, and target vs. non-target lesion classification.\n\nSome results:\n\n* Our segmentation is 2,500x faster than the manual one.\n* We achieved State-of-the-art performance in sarcopenia detection.\n* Our validation studies show a 98% agreement between Nucleo and medical experts.\n\n![uploaded image](/media/?type=post&id=95157&key=user_uploads/1402780/31d40150-99ff-47c2-84d9-f8afa4191632)\n\n### **Our Team**\n\n[Angelica](https://www.linkedin.com/in/angelica-iacovelli-490a8a1a7/) was previously researching at Stanford University, where she worked on cardiovascular modeling, simulating blood flow dynamics using GNNs, LSTMs, and Transformers. The models are now part of NVIDIA’s scientific libraries. She holds BS+MS in Mathematical Engineering from Politecnico di Milano and completed a research exchange at IIT Madras. In 2025, she was recognized as one of the 11 most influential Italians under 35 in software.\n\n[Luca](https://www.linkedin.com/in/luca-pegolotti/) is a researcher in Applied Mathematics and AI for healthcare. He holds degrees from Politecnico di Milano (BSc) and EPFL, Switzerland (MSc and PhD), and conducted research at the Stanford School of Medicine during his PhD and postdoctoral studies. Before founding Nucleo, he was part of Apple Health AI, where he worked on physics-informed machine learning.\n\n**👉 [Contact us](mailto:angelica@nucleoresearch.com)**\n\n**👉 [Learn more about Nucleo](https://nucleoresearch.com/)**\n\n![uploaded image](/media/?type=post&id=95157&key=user_uploads/1402780/e3439ac4-596d-4a9a-bde6-0324ea458ddc)\n\n### **References**\n\n\\[1\\] World Health Organization. _Cancer_. [**https://www.who.int/news-room/fact-sheets/detail/cancer**](https://www.who.int/news-room/fact-sheets/detail/cancer**) (2024).\n\n\\[2\\] Caplan, L. Delay in breast cancer: implications for stage at diagnosis and survival. _Front. Public Health_**2**, 87 (2014).\n\n\\[3\\] Wattacheril, J. _et al._ Lag times in diagnosis and treatment of colorectal cancer. _Aliment. Pharmacol. Ther._**28**, 1166–1174 (2008).\n\n\\[4\\] Cone, E. B. _et al._ Assessment of time-to-treatment initiation and survival in a cohort of patients with common cancers. _JAMA Netw. Open_ **3**, e2030072 (2020).\n\n\\[5\\] Khorana, A. A. _et al._ Time to initial cancer treatment in the United States and association with survival over time: an observational study. _PLoS ONE_ **14**, e0213209 (2019).\n\n\\[6\\] Hanna, T. P. _et al._ Mortality due to cancer treatment delay: systematic review and meta-analysis. _BMJ_ **371**, m4087 (2020).", "url": "https://www.ycombinator.com/launches/Okn-nucleo-automated-cancer-diagnostics", "votes": 66, "created_at": "2025-11-04T22:38:12.112Z" } ] }, { "id": 30934, "name": "Tornyol", "slug": "tornyol", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32e3f0b4a6932eaa071b0b63031b269de4048c47.png", "website": "https://tornyol.com/", "all_locations": "Paris, Île-de-France, France", "long_description": "Tornyol builds micro-drones that kill mosquitoes. We use smartphone microphones, car park assist sensors and some clever DSP and control to transform 40-gram toy drones into mosquito killers. Because these drones are so cheap and fast, we will lower the cost of mosquito control by 100x which will enable the eradication of mosquitoes from cities, saving more than a million people each year from Malaria, West Nile, Dengue, etc. ", "one_liner": "We build micro-drones that kill mosquitoes. ", "team_size": 7, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1761986194, "tags": [ "Hardware", "Robotics", "Drones" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tornyol", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/tornyol.json", "year_founded": null, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/tornyol/", "x_url": "https://x.com/tornyolsystems", "fb_url": null, "cb_url": null, "github_url": "github.com/mosquitorgnole", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32e3f0b4a6932eaa071b0b63031b269de4048c47.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": 1250342, "full_name": "Alex Toussaint", "title": "Founder/CEO", "founder_bio": "Built one of the first in-air phased array sonar when I was 18. Worked on aerial guidance and navigation. Now building micro-drones that kill mosquitoes.\n\nhttps://alextoussaint.com\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-toussaint-51a439189/", "x_url": "https://x.com/alextoussss", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3e686ab9fccb273e6202af5ff0020bbd13e1e13f.jpg" }, { "user_id": 2515354, "full_name": "Clovis Piedallu", "title": "Founder/COO", "founder_bio": "French engineer, working on autonomous mosquito-killing micro-drones ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/clovispiedallu/", "x_url": "https://x.com/ClovisPiedallu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc5e38c6e3ab9641c13073fea9dee85000534f00.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95287, "title": "Tornyol: micro-drones that kill mosquitoes", "tagline": "Enjoy mosquito-free evenings thanks to Tornyol", "body": "TLDR We’re eradicating mosquitoes (700k people killed each year) with micro-drones.\n\nHey YC!\n\n[Clovis Piedallu](https://www.linkedin.com/in/clovispiedallu/) and [Alex Toussaint](https://www.linkedin.com/in/alex-toussaint-51a439189/) are building [Tornyol](https://tornyol.com/), **a micro-drone that kills mosquitoes**. We use smartphone microphones, car park assist sensors and some clever DSP and control to transform 40-gram toy drones into mosquito killers. Because these drones are so cheap and fast, we could lower the cost of mosquito control by 100x to enable the eradication of malaria.\n\nOur upcoming product is a micro-drone + base station that patrols your garden 24/7 and eliminates any mosquito in the zone. After a few days of action, you’ll notice that you can enjoy mosquito-free evenings and dinners. Enjoy a mosquito-free life for just $50/month (if you save your spot **right now for just $100**)!\n\nhttps://www.youtube.com/watch?v=dDa9pFzeJvE\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/2697e87e-51cb-405e-bf8b-e4446880f4cc)\n\n# How it started\n\nAlex has been passionate about ultrasonic sonars for a while, building [one of the first air-gapped ultrasonic phased array sonars.](https://www.alextoussaint.com/2021-04-28_How-I-built-an-ultrasonic-3d-scanner.html) Alex then worked at MBDA Systems, supplier of UK-FR missiles where he did outstanding work in navigation and control. That’s when long-time friend [@Clovis Piedallu](https://bookface.ycombinator.com/user/2515354) and him had the (at first) stupid idea of building mosquito-killing drones. After proving from napkin math that this could lead to mosquito eradication, we got a $28k grant from [Scott Alexander, Vitalik Buterin](https://manifund.org/projects/build-anti-mosqu) and [some big twitter buzz.](https://x.com/alextoussss/status/1778460625196261863) Since, we’ve made enormous strides in the field including the first detection and tracking of a mosquito with an ultrasonic phased array, plus some fancy algorithms which are detailed more [here](https://hackaday.com/2025/03/25/supercon-2024-killing-mosquitoes-with-freaking-drones-and-sonar). We’ve made a lot of progress since in the control department, but can’t share much more without nuking an ongoing patent. The TLDR of that is **we believe we can eradicate mosquitoes from a square kilometer of land with just 10 40-grams drones, slashing the cost of mosquito control by 100x**\n\n# The tech, with a few more details\n\nWe send an ultrasonic pulse using a regular ultrasonic transmitter (the one you can find in the HC-SR04 arduino modules, or on cark park assist sensors) then listen for the echoes using an array of smartphone microphones. This phased array of smartphone microphone allows us to get a directional recording of all echoes in the scene. To classify the echoes, we plot a spectrogram of the echoes as a function of time. Whenever a mosquito beats its wings, the movement produces irregular doppler effect. By measuring that alternating doppler effect, we get a 2D image that’s unique to each mosquito. We then detect the species and sex of the target we have in front of us. Here’s what these signatures look like.\n\n**Wasp (phase, STFT, FFT)**\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/e34717d5-91b3-435f-b7b3-33eacfa00d77)\n\n**Mosquito (phase, STFT, FFT)**\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/21bf0588-a122-48c8-9a62-60426d8e7b94)\n\n![uploaded image](/media/?type=post&id=95287&key=user_uploads/1250342/8bb71855-e1f9-4ea0-922f-06da6690c1c5)\n\nOur phased array sonar (Xilinx XC7A100T and 380 PDM Microphones). We’ve miniaturized it since.\n\nThen, by using some very clever control algorithms, we ram our autonomous tinywhoop into the mosquitoes and away from the walls.\n\n# Our current development status\n\nMost systems are working in isolation, and we’re doing a push to have them all working together. Our miniaturized DSP+Controls processor is currently in the PCB factory, and all algorithms have been tested either on separate benches or in simulation. We’re currently killing mosquitoes in simulation, and are working hard to kill them in the real world.\n\n# Asks\n\nMosquitoes are a terrible problem worldwide **700k people killed each year, 700M catching a mosquito-borne disease and 4 billion people at risk of Dengue**.\n\nWe’re looking for early adopters for who mosquitoes are a big nuisance to proof-test our first drones when they work before we deploy them to areas where failure’s not an option. If that sounds like you, please pre-order and enjoy all the perks (limited edition color, 30% discount) that come from our small $100 refundable reservation.\n\n# CTA\n\n[tornyol.com](http://tornyol.com): $100 refundable deposit to get exclusive, early and discounted acess to our solution.\n\n[founders@tornyol.com](mailto:founders@tornyol.com):\\_for any contacts to big businesses, government entities and NGOs who could be clients.\n\nLooking forward to your questions!\n\n[Clovis Piedallu](https://www.linkedin.com/in/clovispiedallu/) and [Alex Toussaint](https://www.linkedin.com/in/alex-toussaint-51a439189/) for a mosquito-free world.", "url": "https://www.ycombinator.com/launches/Omt-tornyol-micro-drones-that-kill-mosquitoes", "votes": 70, "created_at": "2025-11-07T17:48:40.465Z" } ] }, { "id": 30935, "name": "s2.dev", "slug": "s2-dev", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db49ec4c66c85d205171bbf2f1700ea1146f627c.png", "website": "https://s2.dev", "all_locations": "San Francisco, CA, USA", "long_description": "S2 is an API for durable streams. We make working with streaming data dead simple and reliable.\r\n\r\nThe more we worked on data systems, the more we felt like there was a missing building block. The seamless experience of object storage simply did not exist for durable streams – so we set out to fix that!\r\n\r\nS2 reimagines streams as an unlimited and access-controlled web resource. Like if Kafka and S3 had a baby.\r\n\r\n- Building agents? Use granular streams to persist context in real time, make workflows auditable, and coordinate between agents.\r\n\r\n- Publishing fast-moving data? Streams support high fanout and can be accessed directly over the internet, so they are a great fit for broadcasting real-time feeds.\r\n\r\n- Sandboxing? Emit to per-instance streams, and read history or live events just as easily.\r\n\r\n- Local-first and multiplayer experiences? Propagate updates reliably and efficiently.\r\n\r\nStop dealing with clusters, and start streaming.", "one_liner": "API for unlimited, durable, real-time streams", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759174945, "tags": [ "Developer Tools", "Open Source", "API", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/s2-dev", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/s2-dev.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/streamstore/", "x_url": "https://x.com/s2_streamstore", "fb_url": null, "cb_url": null, "github_url": "https://github.com/s2-streamstore", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db49ec4c66c85d205171bbf2f1700ea1146f627c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0557b757a7ba472cfd3e29dc99f717e31930607.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 235940, "full_name": "Shikhar Bhushan", "title": "Founder/CEO", "founder_bio": "Making streams plentiful and serverless. Hacked on retrieval systems at Etsy, a KV store at Facebook, and Kafka Connect at Confluent.", "is_active": true, "linkedin_url": "https://linkedin.com/in/shikhrr", "x_url": "https://x.com/shikhrr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57590395516b13e3ef14efeeefecfc7409c09e62.jpg" }, { "user_id": 1723893, "full_name": "Stephen Balogh", "title": "Founder/CTO", "founder_bio": "Loves Rust, and building systems that scale. Previously built novel infra for multi-modal product search at Etsy, and digital repository software at NYU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-balogh-078a4995/", "x_url": "https://x.com/sgbalogh0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23704db7d2ff94bf5b6f5b2309970e60225a41b3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95319, "title": "s2.dev: Streams as a cloud storage primitive", "tagline": "The serverless API for unlimited, durable, real-time streams", "body": "Hi everyone! We are [Shikhar](https://www.linkedin.com/in/shikhrr/), [Stephen](https://www.linkedin.com/in/stephen-balogh-078a4995/), and [Dwarak](https://www.linkedin.com/in/dwarakgovindparthiban/), the co-founders of [s2.dev](http://s2.dev). S2 is the S3 for streams.\n\nhttps://www.youtube.com/watch?v=8-mUPf4P_8g\n\nMany of the most important features in products we love are powered by streaming data, from frontend UIs that go _brrr_ with real-time updates, to backends that store and process massive event flows. But building these sorts of real-time systems is really hard.\n\nWe are turning streams into a cloud storage primitive – just like object storage did for static files.\n\nS2 is a completely serverless datastore, offering unlimited streams and configurable (even bottomless) data retention. Streams can be appended to and followed in real-time, and since all writes are durable, you can also read from anywhere in a stream’s history, indexed by sequence number or timestamp.\n\nWe basically took the core abstraction of Kafka – [the log](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying) – gave it a URI, and brought it online with a dead simple API. And none of the bloat. 😀\n\nhttps://www.youtube.com/watch?v=2a1OdJ9l78A\n\n## Why we’re building S2\n\nWe built large-scale ML infra at Etsy and Meta, and always felt the lack of a system like S2. Serverless infra for data at rest has been seamless for a long time (S3 launched 20 years ago!) – but the ecosystem around streaming data, in comparison, felt stuck in the stone age.\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/235940/72f8cb1e-a550-4458-b57b-d5936dc98191)\n\nWhen we [first introduced S2](https://news.ycombinator.com/item?id=42480105), we thought it would be most attractive to people already using streaming platforms like Kafka – but we’ve found that it resonates much more with builders in areas where these systems are entirely absent, who end up cobbling together general-purpose stores like Postgres and Redis and run into their limits.\n\nWe stand out on dimensions that are completely off the map for legacy systems: like the ability to have an unlimited number of streams backed by object storage, and to make them directly accessible [over REST](https://s2.dev/docs/rest/records/overview). This means S2 streams can be used as a serverless, reliable alternative to custom WebSocket or SSE infra.\n\n## S2 radically simplifies streaming\n\nIf you are dealing with a **high-cardinality of data sources** – for example, code execution sandboxes or IoT devices – S2 is for you. Streams can be instantly created on-demand. You don’t have to buffer or batch, just pipe into S2.\n\nhttps://www.youtube.com/watch?v=wsFiwxv_RY0\n\nWe recently [supercharged](https://news.ycombinator.com/item?id=45310294) read scalability to handle massive fanouts. You can broadcast a **real-time feed** with S2 such as market data without building any infra – publishing is just a matter of POST-ing to a stream’s URL.\n\nIf you are building **agents**, a common pain is **syncing** progress between the backend and frontend, while also being able to replay history. A lot of these agent state management challenges become simple with S2.\n\n## Try it out\n\nWe should talk if [s2.dev](http://s2.dev) resonates with you! You can [sign-up](https://s2.dev/sign-up) and follow the [quickstart](https://s2.dev/docs/quickstart) to start streaming in seconds with free credits.\n\nThere is a lot more we are cooking, including an ⭐ open source self-hostable S2 https://github.com/s2-streamstore/s2 ⭐\n\n## Talk to us\n\n**email**: [founders@s2.dev](mailto:founders@s2.dev)\n\n**discord**: https://discord.gg/JfTWJ5xxZ6\n\n**twitter**: https://x.com/s2_streamstore\n\n**bluesky**: https://bsky.app/profile/s2.dev\n\n![uploaded image](/media/?type=post&id=95319&key=user_uploads/89898/8c2da77e-e2c6-4bb6-bba6-9da0a09f87ef)\n\n", "url": "https://www.ycombinator.com/launches/OnP-s2-dev-streams-as-a-cloud-storage-primitive", "votes": 64, "created_at": "2025-11-08T06:30:48.434Z" } ] }, { "id": 30936, "name": "Patent Watch", "slug": "patent-watch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.png", "website": "https://www.patentwatch.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We automate patent infringement detection. Our software interprets patents, identifies competing products, and generates claim charts showing who’s infringing and how.\r\n\r\nTeams use us to:\r\n\r\n- Find licensing and litigation targets\r\n- Send cease-and-desist letters\r\n- Find counter litigation\r\n- Sell IP in wind-downs\r\n- Accelerate M&A diligence\r\n\r\nWe also run AI invalidity and prior-art searches to help your patents hold up in court.\r\n\r\nCompanies spend up to $50k to file and maintain a single patent over its lifetime, but once it's granted, they let it collect dust. With Patent Watch, you can start turning your patent portfolio into revenue in 10 minutes.", "one_liner": "AI for detecting patent infringements", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758491604, "tags": [ "SaaS", "B2B", "Legal", "LegalTech", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "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/patent-watch", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/patent-watch.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/patentwatch-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5c1d7fe830232f3ad92055c328a9c623fe69050a.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": 1250636, "full_name": "Alexander Stroe", "title": "Founder/CEO", "founder_bio": "Founder @ Patent Watch | Prev day traded funded accounts, spent > $1M on ads", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-stroe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/94ff65b5d68579dddef6be5fecb2e0fa4a01e7f9.jpg" }, { "user_id": 1595753, "full_name": "Andreas Stroe", "title": "Founder/CTO", "founder_bio": "Founder @Patent Watch | Ex Research @ Philips", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andreasstroe/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfd385d73761d9cd87f365e5876e19941070a85d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94773, "title": "Patent Watch - AI for patent infringements 📜", "tagline": "Upload your patents, we find infringing products so you can sell licenses or litigate. ", "body": "[**Patent Watch Launch Video**](https://youtu.be/9rLBsb_cX6E)\n\n**Problem**\n\nMy co-founder, [**Andreas Stroe**](https://www.linkedin.com/in/andreasstroe) (also my brother), was doing research at Philips. He applied for 4 patents while he was there. After spending way too much time talking to the IP team, he realized that they hold 50,000 patents with a team of \\~10 people to defend them.\n\nA little background: a **patent costs** around **$50k** to obtain and maintain. $17k is non-negotiable, paid directly in fees. That means their **portfolio costs $850M** to **$2.5B**. The best part is that they, and pretty much every company in the world, rely on Googling competitors and sending salespeople to trade shows to hear about new products that could be infringing. This whole **portfolio** is **making** little to **no revenue.**\n\nI guess you can see why we started building this right away.\n\n![uploaded image](/media/?type=post&id=94773&key=user_uploads/1250636/63eddfc4-bbda-4f22-b80e-7d4f0f15ced3)\n\n_Can you tell we’re brothers?_\n\n**Solution**\n\nSuper simplified to keep it easy to understand:\n\n✅ We let companies upload their patents and get a list of claim charts showing what **products are infringing and how**, in 20 minutes instead of months.\n\n✅ When companies get sued, they can **use us to find counter litigation**, since the person suing them is most likely infringing on some of the patents they hold too.\n\n✅ The most common way to get these cases thrown out of court is by considering a patent invalid. That means there is some proof, like other patents, research papers, or products that existed before your patent was filed. We find all these and **confirm your patents will hold up in court.**\n\nThere is more, but you can consider this our “core”.\n\n**Proof**\n\nAs you can imagine, pretty much everyone we work with has us under NDA. What I can tell you is that we work with private inventors up to Fortune and Global 500 companies.\n\n**Why now?**\n\nOf course, AI …\n\nBut also, the US Patent Office is tightening the rules for challenging patents in its review court. The director is being pickier about which cases get heard, and some evidence no longer counts.\n\n🚨 It’s going to be a lot harder to attack a patent and a lot easier for owners to defend one🚨\n\n**Ask**\n\nIf you hold patents and have more applications pending, you can probably use us.\n\nOutside of that, we’d really appreciate intros to:\n\n* Patent attorneys\n* IP managers\n* Licensing managers\n* CTOs or heads of R&D at hardware, biotech, industrial, and large software companies\n\nMy email is [**alex@patentwatch.ai**](mailto:alex@patentwatch.ai) if you want to chat :)\n\n_Thanks for reading!_", "url": "https://www.ycombinator.com/launches/Oeb-patent-watch-ai-for-patent-infringements", "votes": 78, "created_at": "2025-10-21T00:06:19.043Z" } ] }, { "id": 30937, "name": "Anto Biosciences", "slug": "anto-biosciences", "former_names": [ "Anto" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/83f56c369ac0fb5e70438516e774b8603717940a.png", "website": "https://www.anto.bio/", "all_locations": "San Francisco, CA, USA", "long_description": "Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. \r\n\r\nFounded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature. ", "one_liner": "A Foundation Model for Microbial Communities.", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1761948352, "tags": [ "Generative AI", "Biotech", "Genomics", "Drug discovery", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/anto-biosciences", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/anto-biosciences.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/anto-biosciences/", "x_url": "https://x.com/anto_f25", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/83f56c369ac0fb5e70438516e774b8603717940a.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": 1514534, "full_name": "Arvid E. Gollwitzer", "title": "Founder/CEO", "founder_bio": "Founder @ Anto Bio | Researcher @ Broad, Harvard, MIT | Lecturer @ ETH Zurich", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arvid-gollwitzer/", "x_url": "https://x.com/arvidgollwitzer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c198f2ae79729c0ec59fbf566666e42e58082db3.jpg" }, { "user_id": 1361118, "full_name": "David de Gruijl", "title": "Founder/CTO", "founder_bio": "Co-founder @ Anto. Formerly Janssen Pharmaceuticals, ETH Zurich and Gastroenterology Dept. of BWH, Harvard Medical School. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/daviddegruijl", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b50bd83ae243af5006498387e9733112e4af827c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95292, "title": "Anto Biosciences: A Foundation Model for Microbial Communities", "tagline": "Making the microbiome computable. ", "body": "We’re [Arvid](https://www.linkedin.com/in/arvid-gollwitzer/) and [David](https://www.linkedin.com/in/daviddegruijl/), and we’re building [Anto Biosciences](https://www.linkedin.com/company/anto-biosciences).\n\n### tl;dr\n\nAnto is building a multimodal foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and optimize molecules for universal efficacy — addressing the microbiome-driven causes of drug response and failures.\n\n**Launch Video**: https://youtu.be/BDPp2wXiDbw\n\n### The Key Problem\n\n**We caught a cancer drug that worked in China but failed in U.S. trials. Same molecule, different microbiomes. $1B lost.**\n\nThis isn't an isolated story; more than a billion people are currently on medications where the microbiome dictates success or failure. The gut microbiome drives drug toxicity and efficacy, but pharma lacks the tools to understand and act on it \\[10,11,13\\]. Current methods to simulate the gut take months, cost millions, and rely on animal models that are too different from humans to be useful.\n\n### About Anto\n\n**We predict drug toxicity and efficacy across diverse populations and optimize molecules for broader efficacy—addressing the hidden, microbiome-driven causes of drug response and failures.**\n\nInput any drug molecule. We tell you how people will respond. We show where it works and where it fails—by geography, age, or diet.\n\nWe predict:\n\n* Population-specific efficacy (geographic, age-based, vegans vs. meat eaters, etc.)\n* Failure mechanisms (specific microbial metabolic pathways) \\[9,11\\]\n* Treatment response profiles across diverse populations \\[10,14\\]\n\nAnd we don't just flag risk; we identify failure mechanisms down to microbial metabolic pathways and generate treatment response profiles across populations. Then we optimize the molecule for broader efficacy. Turning 20% efficacy into 80% becomes an optimization problem we can actually solve.\n\n**Why we can do this:** We've pioneered quality-aware, goal-directed sparsification algorithms \\[5,9,15\\]. Microbiome data is 99% noise. We remove most of the noise and low-quality data through sparsification, leaving only the 1% that actually carries predictive power. That's how we make the microbiome computationally tractable. \\[6,7,8,14\\].\n\n### About Us\n\n[Arvid](https://www.linkedin.com/in/arvid-gollwitzer/) — Broad Institute of MIT and Harvard, ETH Zurich. Nature-published researcher who pioneered microbiome sparsification. Built the methods that make noisy microbial data tractable.\n\n[David](https://www.linkedin.com/in/daviddegruijl/) — ex-ETH Zurich, J&J, BWH, Harvard Med, Gastroenterology. Struggled with current drug digestion models firsthand. Knows where current workflows break and how to fix them.\n\n![uploaded image](/media/?type=post&id=95292&key=user_uploads/89898/3b2d64c2-dbc0-4bad-aad7-40b7995faeca)\n\nWe’re second-time founders who have lived this problem and published at leading AI conferences and Journals.\n\n### Traction\n\nWe're working with pharma R&D to simulate drug–microbiome interactions and de-risk cross-border deals with population-specific efficacy predictions and response profiles. Our open-source tools and research \\[1-9,14,15\\] are widely adopted and taught in engineering and computational biology programs \\[16\\].\n\n### What This Means for Digital / Computational Biology\n\n**The microbiome is the missing layer in drug development.** Most orally administered drugs are modified by gut bacteria before reaching their targets. We're making this layer computable for the first time \\[11-14\\].\n\nIf you're building in digital biology, precision medicine, or drug development, let's talk. The microbiome affects everything.\n\n### Our Asks\n\nIf you’re in drug development, cross-border deals, or translational medicine, we’d love to learn what microbiome requirements matter most to you. If you know teams in pharma and believe this product is cool, sharing / intros would mean a lot.\n\nIf you are in academia or microbiome research, try out our open-source tools \\[5-15\\]!\n\n**Get in touch**: [founders@anto.bio](mailto:founders@anto.bio) | [anto.bio](https://www.anto.bio/)\n\n### Our Research\n\nOur foundational work spans high-performance genomic analysis \\[1-4\\], metagenomic classification algorithms \\[5,9,14,15\\], in-storage computing for microbiome data \\[6-8\\], and the first large-scale datasets for causal modeling of microbial ecosystems \\[11,12\\]. We've pioneered techniques that make microbial communities computationally tractable, including quality-aware sparsification that reduces noise by 99% while preserving predictive power \\[5,9,15\\]. Our recent work on therapeutic resistance \\[10\\] and AI-controlled metagenomics for clinical applications \\[14\\] directly informs our drug optimization capabilities.\n\n**References:**\n\n\\[1\\] N. M. Ghiasi et al., \"GenStore: A high-performance in-storage processing system for genome sequence analysis,\" in _Proc. 27th ACM Int. Conf. Architectural Support for Programming Languages and Operating Systems_, 2022, pp. 635-654.\n\n\\[2\\] N. M. Ghiasi et al., \"GenStore: In-storage filtering of genomic data for high-performance and energy-efficient genome analysis,\" in _2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)_, 2022, pp. 283-287.\n\n\\[3\\] N. M. Ghiasi et al., \"GenStore: A high-performance and energy-efficient in-storage computing system for genome sequence analysis,\" _arXiv preprint arXiv:2202.10400_, 2022.\n\n\\[4\\] M.-D. Rumpf, M. Alser, A. E. Gollwitzer et al., \"SequenceLab: A comprehensive benchmark of computational methods for comparing genomic sequences,\" _arXiv preprint arXiv:2310.16908_, 2023.\n\n\\[5\\] A. E. Gollwitzer et al., \"MetaTrinity: Enabling fast metagenomic classification via seed counting and edit distance approximation,\" _arXiv preprint arXiv:2311.02029_, 2023.\n\n\\[6\\] N. M. Ghiasi et al., \"MetaStore: High-performance metagenomic analysis via in-storage computing,\" _arXiv preprint arXiv:2311.12527_, 2023.\n\n\\[7\\] N. M. Ghiasi et al., \"MetaStore: High-performance metagenomic analysis via in-storage computing,\" _arXiv e-prints_, pp. arXiv-2311, 2023.\n\n\\[8\\] N. M. Ghiasi et al., \"MegIS: High-performance, energy-efficient, and low-cost metagenomic analysis with in-storage processing,\" in _2024 ACM/IEEE 51st Annual Int. Symp. Computer Architecture (ISCA)_, 2024, pp. 660-677.\n\n\\[9\\] A. Gollwitzer et al., \"MetaFast: Enabling fast metagenomic classification via seed counting and edit distance approximation,\" _arXiv preprint arXiv:2311.02029_, 2023.\n\n\\[10\\] A. E. Gollwitzer, D. A. Subramanian, I. Tucker, and G. Traverso, \"Steering the evolutionary game: Hierarchical control of therapeutic resistance in cancer treatment,\" in _NeurIPS 2025 AI for Science Workshop_, 2025.\n\n\\[11\\] A. E. Gollwitzer, D. A. Subramanian, I. Tucker, and G. Traverso, \"MetaOmics-10T: The foundational dataset to unlock causal modeling of microbial ecosystems,\" in _NeurIPS 2025 AI for Science Workshop_, 2025.\n\n\\[12\\] N. M. Ghiasi et al., \"MegIS: High-performance, energy-efficient, and low-cost metagenomic analysis with in-storage processing,\" _arXiv preprint arXiv:2406.19113_, 2024.\n\n\\[13\\] H. J. Haiser and D. de Gruijl, \"Emerging tools and technologies for microbiome-aware drug development,\" _Clinical Pharmacology & Therapeutics_, 2025, doi:10.1002/cpt.70026.\n\n\\[14\\] A. Gollwitzer et al., \"AI-controlled metagenomics: High-throughput taxonomic profiling for clinical pathogen detection and early-stage cancer screening and type classification,\" _arXiv preprint arXiv:2311.02029_, 2025.\n\n\\[15\\] A. Gollwitzer et al., \"The Thinking Microscope: A reinforcement learning framework for the co-optimization of computational and generative data sparsification in metagenomics,\" _arXiv preprint arXiv:2311.02029_, 2025.\n\n\\[16\\] A. E. Gollwitzer, \"Decoding the human microbiome through AI-controlled metagenomics: Promises and ethical implications,\" presented at ETH Zurich ETHix Series, Dec. 2024. \\[Online\\]. Available [here](https://bioethics.ethz.ch/news-and-events/news-bioethics/2024/12/decoding-the-human-microbiome-through-ai-controlled-metagenomics-promises-and-ethical-implications.html).", "url": "https://www.ycombinator.com/launches/Omy-anto-biosciences-a-foundation-model-for-microbial-communities", "votes": 32, "created_at": "2025-11-07T20:30:08.883Z" } ] }, { "id": 30938, "name": "Imagine AI", "slug": "imagine-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png", "website": "https://imagineai.me", "all_locations": "San Francisco, CA, USA", "long_description": "Imagine AI is a research and software company reverse engineering modern B2B growth, starting with LinkedIn.\r\n\r\nAs companies get more automated, more of B2B growth will happen between agents, and the companies that connect will compound each other's output. We're building the connective layer between them. We start with content because it's still the fastest way to build B2B relationships at scale.\r\n\r\nToday our content agent decides what your team should post based on data from 1M+ people (who posts what, who engages, where they work and how they're connected). It drafts the posts and graphics, schedules them for your execs and company page, and maps engagement back to your pipeline.\r\n\r\nRippling, MarqVision, Slash, Corgi and Fondo use Imagine AI. Customers have generated $40M in revenue, 100M impressions and 14,341 MQLs.\r\n\r\nFree public benchmark of how 1,000+ B2B companies and their execs perform on LinkedIn: https://benchmark.useimagine.ai", "one_liner": "We reverse engineer B2B growth, starting with LinkedIn.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1757695309, "tags": [ "B2B", "Sales", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/imagine-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/imagine-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ai-imagine", "x_url": "https://x.com/imagineagi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/970910171a94d4462949dcdc9bf32a46422e39bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a86d11caef9165fe2af5bfbf68444eafb0ab0cb1.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/51f39ff219f808187a067238f129b89374c5fa86.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 1654391, "full_name": "Sky Yang", "title": "Founder/CEO", "founder_bio": "Sky Yang is the Co-founder & CEO of Imagine AI.\n\nHe was the youngest-ever elected Student Body President at UC San Diego, where he led 32,000 students and successfully raised $150M for university infrastructure improvement. He also founded the nonprofit Break the Outbreak, scaling it to a 400-person organization operating in 53 cities/18 States.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/skyyang/", "x_url": "https://x.com/skygodkingdom", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5126ec188c4e513ebf71c6c237dc01b027e7f393.jpg" }, { "user_id": 1051338, "full_name": "Neo Lee", "title": "Co-founder", "founder_bio": "Neo Lee co-founded Imagine AI in 2025, which now serves 50+ B2B companies including MongoDB, Rippling, Slash, and Corgi Insurance.\n\nHe was previously a founding engineer at startups backed by MiraclePlus, Mysten Labs, and the SUI Foundation, and researched non-cooperative stochastic games at UC Berkeley under Prof. Alan Hammond, where he proved a previously open equilibrium-threshold result in stake-governed tug-of-war games.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/neo-lky", "x_url": "https://x.com/neo_lky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df8c684381c101d4a6e29f436659162b3f5e1db1.jpg" } ], "jobs": [ { "id": 102004, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/imagine-ai/jobs/tqTTn1x-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $230K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "PostgreSQL", "React", "TypeScript", "SQL", "Neo4j", "Next.js" ] } ], "news": [], "launches": [ { "id": 97977, "title": "Imagine AI - B2B content for your entire team that books meetings before competitors get a reply", "tagline": "$31M in revenue generated across 40+ B2B companies. Now with multi-seat team coordination.", "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI.\n\nWe just launched multi-member team content for B2B companies.\n\nMost companies try LinkedIn GTM with one founder posting alone. It works, but it's slow. One voice. One network. Limited reach.\n\nWhat actually moves the needle is coordinated team effort. Multiple executives posting aligned content, amplifying each other, creating a ripple effect across the org.\n\nThat's what we built.\\\n\\\n\n\n**TL;DR:** We build 100+ page personas for each person on your team, then run your entire content pipeline: LinkedIn posts, strategic comments, coordinated team cadence. Every client gets a dedicated Content Engineer backed by our AI platform. $31M in revenue generated across 40+ B2B companies.\n\n**Ask:** B2B company doing sales-led growth? Book a demo at [imagineai.me](http://imagineai.me) or email [**sky@imagineai.me**](mailto:sky@imagineai.me)\n\n**The Problem**\n\nB2B buyers trust people, not logos. But most companies have zero content infrastructure.\n\nFounders and execs are juggling product, sales, and fundraising. Content falls to the bottom. Hiring an agency costs $150K+ and takes months to onboard per person. Generic AI tools produce robotic content that damages your brand. And even when someone does post, there's no coordination across the team. Your CEO and VP of Sales are operating in silos instead of running coordinated campaigns.\n\n**What's New**\n\n1️⃣ **Multi-seat access with coordinated cadence.** Your whole leadership team posts through Imagine AI. Not just the CEO. VP Sales, VP Marketing, Head of GTM, whoever needs to be building their presence. Your CEO posts the vision, your VP of Sales posts the proof, your Head of Marketing posts the framework. Same theme, different angles, coordinated ripple cadence.\n\n2️⃣ **100+ page Persona Reports for each person.** We go through transcripts, interviews, podcast appearances, posts, and conversations for every person on your team. The result reads more like a biography than a brief. That's why the content sounds like each person actually wrote it. Not a polished corporate version. Them.\n\n3️⃣ **Dedicated Content Engineer per account.** Every client gets a real person who owns your strategy. They set the pace, coordinate your team's content cadence, and ensure what we ship makes sense for your business. A senior content strategist with an AI platform behind them.\n\n4️⃣ **AI-powered analytics that track pipeline, not pageviews.** You can see which posts start real conversations with your ICP. Audience activation, conversation quality, inbound meeting requests. Actual numbers, not vibes.\n\n5️⃣ **Cut content creation time by 95%.** Executive post creation reduced from 1 hour to 5 minutes. Content prep reduced from 8 hours to 30 minutes. Most clients spend 2-4 hours per month on the platform. The rest runs on its own.\n\n**Our Traction**\n\nLaunched November 2025. Now serving 40+ paying B2B companies from pre-seed to publicly traded.\n\nClients include Rippling, Corgi Insurance, Campfire AI, Fondo, Paramify, and others.\n\n📈 Results across all clients:\n\n* **$31M** in revenue generated\n* **431** qualified inbounds in 1 month for one client\n* **$53K** inbound revenue in 1.5 weeks for another\n* **12M** total impressions generated\n* **10,400** hours saved so far\n\nWe built all of this because our customers kept asking for it. They wanted their whole team posting, but couldn't justify the time investment for each person.\n\nNow they can.\n\n**Our Ask**\n\nKnow a B2B company doing sales-led growth that needs a content engine for their team? Intro us.\n\nBook a demo: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* Sky: [**https://linkedin.com/in/skyyang**](https://linkedin.com/in/skyyang**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)\n\n![uploaded image](/media/?type=post&id=97977&key=user_uploads/1654391/83eab6ad-ab88-4062-9a91-16f4cc721bae)\n\n", "url": "https://www.ycombinator.com/launches/PUH-imagine-ai-b2b-content-for-your-entire-team-that-books-meetings-before-competitors-get-a-reply", "votes": 6, "created_at": "2026-02-19T21:55:09.306Z" }, { "id": 94851, "title": "Imagine AI - We build your B2B content pipeline so your prospects find you first", "tagline": "#1 B2B content engineering for Linkedin, Blogs, and Thought Leadership that converts $10M so far", "body": "Hey YC.\n\nWe're Sky and Neo from Imagine AI, and we build B2B content pipelines for companies doing sales-led growth.\n\n**TL;DR:** We build high-fidelity personas that replicate how you think and write, then use them to handle your entire content pipeline: LinkedIn posts, strategic comments, GEO/SEO/category defining blogs. The result is content that drives qualified inbounds.\n\nOne client got 200 qualified inbounds in a month. Another landed a $5M deal from a single post. A third generated 40K in revenue from inbounds in 10 days.\n\nhttps://youtu.be/SiAtXolPFmY\n\n**The Problem**\n\nB2B founders know content drives pipeline. But you're juggling product, sales, and fundraising. You don't have time to make B2B content. Hiring an agency costs $150K and takes months to onboard. Generic AI tools produce robotic content that damages your brand.\n\n**Our Solution**\n\nWe don't just write posts for you. We perform content engineering to get you to content market fit.\n\n![uploaded image](/media/?type=post&id=94851&key=user_uploads/1654391/15084825-fe7a-42f5-a032-78c90d251f6a)\n\nHere's what that means:\n\n**Step 1: Build a high-fidelity persona** We extract everything about how you think, write, and sell from your transcripts, articles, and interviews. The result is a persona document literally the length of a Harry Potter book. This isn't surface-level voice cloning. It's deep context about your worldview, your clients' pain points, and your unique insights.\n\n**Step 2: Content engineering to market fit** We use that persona to build your entire content pipeline: 4 LinkedIn posts per week, strategic comments on prospect posts, category defining blogs that rank. Then we optimize based on engagement data until we hit content market fit, where your content consistently drives qualified inbounds.\n\n**Step 3: Measure what matters** We track qualified conversations, not vanity metrics. We closed 10M in revenue so far for our clients.\n\nThat's content market fit.\n\n**Our Traction**\n\nWe launched in mid-July, now serve 30+ paying customers including 16 YC companies plus VCs, global franchises, and ghostwriting agencies (Conduit W24, Freya AI S25, AthenaHQ W25, Itworks, Fuwa Fuwa). Achieving minimum 30%-70% week to week growth.\n\n💡 Results:\n\n* $10M+ in total revenue generated\n* $5M deal from one optimized post\n* $40K inbound revenue in 1.5 weeks\n* 200+ qualified inbounds in one month\n* Client onboarding cut from 2 weeks to 1 week\n* Content prep reduced from 8 hours to 30 minutes\n\n**Our Ask**\n\nFor F25 companies: First 5 to reach out get 20% off first month.\n\nFor everyone: Know a B2B company doing sales-led growth that needs content? Intro us.\n\nTry it: [**https://imagineai.me**](https://imagineai.me)\n\nReach us:\n\n* [**sky@imagineai.me**](mailto:sky@imagineai.me)\n* 650-518-8626 (text first)\n* [**https://www.linkedin.com/in/skyyang/**](https://www.linkedin.com/in/skyyang/**)\n* Neo: [**https://linkedin.com/in/neo-lky**](https://linkedin.com/in/neo-lky**)", "url": "https://www.ycombinator.com/launches/Ofr-imagine-ai-we-build-your-b2b-content-pipeline-so-your-prospects-find-you-first", "votes": 67, "created_at": "2025-10-23T17:22:47.927Z" } ] }, { "id": 30939, "name": "Expected Parrot", "slug": "expected-parrot", "former_names": [ "Expected Parrot, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png", "website": "https://www.expectedparrot.com", "all_locations": "Boston, MA, USA", "long_description": "Expected Parrot helps companies simulate their customers with AI agents to explore pricing, product, marketing, communications and other scenarios at scale. Our open-source library and no-code web app let you design custom agent personas and conduct interviews and surveys with them using LLMs of your choice to generate results and reports. Everything is cached and reproducible, and you can send the same surveys to human respondents to validate results in the same interface.", "one_liner": "Simulate your customers with AI agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760614076, "tags": [ "Generative AI", "SaaS", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/expected-parrot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/expected-parrot.json", "year_founded": 2024, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/expectedparrot", "x_url": "https://x.com/ExpectedParrot", "fb_url": null, "cb_url": null, "github_url": "https://github.com/expectedparrot/edsl", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fb8df693185d3d01a607d26dc392fa6f5307be2a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9f94adca79875ba4d2dea725280dab8492eae80c.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 696545, "full_name": "Robin Horton", "title": "Founder/CEO", "founder_bio": "Prior to building E[P] I was as founding member of Uber's Legal Data team and spent 7 years managing cross-functional data reporting. Before joining Uber I was a tax and investment funds attorney at Ropes & Gray LLP and served as an Assistant Attorney General in Massachusetts prosecuting environmental and white collar crimes. Before law school I managed simulations contracts for Northrop Grumman. Harvard JD & Columbia BA (Math).\n\nHarvard JD, Columbia BA Math.", "is_active": true, "linkedin_url": "https://linkedin.com/in/robertahorton", "x_url": "https://x.com/ExpectedParrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a1c76533e7aa2c5c12dbec40b19174023f4db09.jpg" }, { "user_id": 50096, "full_name": "John Horton", "title": "Founder/CTO", "founder_bio": "Co-Founder of Expected Parrot. Professor at MIT Sloan. Economist. Former Army Officer. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-horton-48a75819/", "x_url": "https://x.com/johnjhorton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b62d0cec76320c0a7050f9d7491a43c678e96cda.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95172, "title": "Expected Parrot: Simulate your customers with AI agents", "tagline": "Meet Expected Parrot, the open-source framework for simulating your customers with AI agents.", "body": "Hi everyone, we’re [Robin ](https://www.linkedin.com/in/robertahorton/)and [John](https://www.linkedin.com/in/john-horton-48a75819/), co-founders of [Expected Parrot](https://www.expectedparrot.com).\n\n**TLDR:**\n\nUser research is expensive, slow, and hard to do well. Expected Parrot makes it radically cheaper, faster and easier.\n\nWe let you simulate customers with AI agents—run surveys, test pricing, get reactions to new features—before spending money on conventional research or building the wrong thing. Our tools make it easy to optimally combine human and AI generated data to run the best possible versions of your experiments.\n\n[Expected Parrot: Simulate your customers.](https://youtu.be/wVggRUnIdnA)\n\n**How it works:**\n\nTurn your customer data into AI agent personas, then run them through surveys just like you would with real people. Get instant results you can compare directly to human responses. E\\[P\\] provides the open source tools and services to validate these simulated results to increase confidence.\n\nWe offer a web app (for PMs, designers, and researchers) and a Python library (for data scientists who want full control). Surveys are the interface—expressive, familiar, and perfect for comparing AI to real human data.\n\n**Use it for:**\n\n* Pricing strategy: simulate hundreds of variations, estimate revenue\n* Product testing: find confusion before you build\n* Message testing: iterate on positioning at machine speed\n* Policy and legal: explore stakeholder reactions to different arguments\n\n**Key features:**\n\nWe handle all the plumbing—prompt engineering, async execution, structured parsing, caching, API management. Researchers focus on questions, not debugging Python or juggling API keys. \n\nWith conventional research, you have an idea, you design a survey, launch it, wait 2 weeks and then learn you didn't quite ask the right question—and you spent several thousand dollars. With E\\[P\\], you can design a survey, generate agents, run the survey and get results in seconds.  \n\n**Traction:**\n\nWe’re working with tech companies like Upwork, a global consulting firm, and users in banking, entertainment, consumer products, government statistical agencies, and non-profits. Our open source tools are being taught in business and CS programs at many universities. \n\n**About us:**\n\n[Robin](https://www.linkedin.com/in/robertahorton/) (CEO), who led legal and regulatory data science at Uber, has seen firsthand how the right tools can unlock productivity. [John](https://www.linkedin.com/in/john-horton-48a75819/) (CTO), [a professor at MIT](https://scholar.google.com/citations?user=L_O2kH0AAAAJ&hl=en), was conducting research with his PhD students on how to use AI simulations in economics ([here](https://arxiv.org/abs/2508.17407), [here](https://arxiv.org/abs/2404.11794) and [here)](https://arxiv.org/abs/2301.07543) but found existing tools inadequate. We started building our tools because we needed them, and we started building the platform when we realized others needed them as well.\n\n**Get in touch:** [founders@expectedparrot.com](mailto:founders@expectedparrot.com) | [expectedparrot.com](http://expectedparrot.com)\n\nHere’s a quick demo of our tools:\n\n[Expected Parrot: Demo](https://youtu.be/SzhrhBZkfjo)", "url": "https://www.ycombinator.com/launches/Ol2-expected-parrot-simulate-your-customers-with-ai-agents", "votes": 93, "created_at": "2025-11-04T22:53:55.562Z" } ] }, { "id": 30942, "name": "Scott AI", "slug": "scott-ai", "former_names": [ "Juno", "Scott AI", "Juno" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e147d1eb5a08ce6e087e44a2f10d637816c7c5db.png", "website": "https://tryscott.ai", "all_locations": "New York City, NY, USA", "long_description": "Coding agents made writing code fast. But 6 engineers in a room will probably still disagree on what needs to be built.\r\n\r\nScott AI is a planning workspace where engineering teams align on what to build before their coding agents start building it.", "one_liner": "The planning layer for teams that build with coding agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762199813, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scott-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/scott-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/scott-ai", "x_url": "https://x.com/scott_ai_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e147d1eb5a08ce6e087e44a2f10d637816c7c5db.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": 1254494, "full_name": "David Maulick", "title": "Founder/CEO", "founder_bio": "David is an ex staff Engineer and manager from Coinbase. Over the past 4 years he was focused on developer platforms that today power 95% of UI at Coinbase, 65% of Coinbase edge traffic, and are used by >700 engineers daily. His last project was building the first AI powered dev tool for the Data Layer team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/davidemaulick/", "x_url": "https://x.com/davidmaulick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8a57e11c7e4bb38a0bc3d16a8d266b9b45d813e.jpg" }, { "user_id": 552088, "full_name": "Devin Cintron", "title": "Founder/CTO", "founder_bio": "Building Scott! Previously founding eng & head of mobile at Comun (Redpoint, Costanoa) where I scaled us from 0 to millions of installs. Before that KP Eng fellow, consulting at Bain, Stanford BS in CS focus on AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devin-cintron", "x_url": "https://x.com/devin_bc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8ad213a5344317cec00fc1060999c807baba0d0.jpg" } ], "jobs": [ { "id": 92903, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/scott-ai/jobs/fU8EJfh-product-engineer", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 92905, "title": "Design Engineer", "url": "https://www.ycombinator.com/companies/scott-ai/jobs/v9jd8ed-design-engineer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $250K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95166, "title": "Scott AI - Agentic Workspace for Software Spec Design", "tagline": "Get to your best spec faster. Align with your team faster. Let coding agents take on larger tasks.", "body": "Hi everyone 👋\\\n\\\nWe are[ David](https://www.linkedin.com/in/davidemaulick/) and[ Devin](https://www.linkedin.com/in/devin-cintron/) – co founders of[ Scott AI](https://www.tryscott.ai/download).\n\nTL;DR\n\n**Scott runs several coding agents side by side to expose their disagreements and help you get to the best spec faster.** With Scott, your coding agents can take on larger tasks while respecting your requirements.\n\n**Ask:** Try[ Scott AI](https://www.tryscott.ai) for at .  To use Scott with your team, book a demo with us [here](https://calendly.com/david-tryscott/david-scott-ai-30-min-meeting).\n\n\n\n**❌ The Problem**\n\nCoding agents are fast and generate lots of code. But they often do things we don’t want them to. To name a few:\n\n* Over-architecting and using the wrong abstractions\n* Using obscure libraries for the job\n* Early optimizations for future problems that will never exist\n\nThat said, it’s not really their fault! Builders need a tool that better aligns coding agents with our intent.\n\n\\\n**The Solution**\n\nA tool that highlights the most important and relevant design decisions early, makes it easy to compare tradeoffs, and helps you pick the spec that most accurately matches your intent.\n\n[**👷**](https://emojipedia.org/construction-worker) **What we are building**\\\n\\\nScott AI is the agentic workspace for software spec design. Scott lets teams orchestrate “swarms of experts” to debate architecture designs, making it easy for developers to discover and align on the best plan before handing it off to execution-oriented agents like Claude, Codex, or Cursor.\n\nWith Scott, teams grant multi-agent swarms of any model (Claude w/ Sonnet 4.1, Codex w/ GPT-5, etc.) secure, one-click access to their full codebase. Agents explore multiple design paths in parallel while Scott orchestrates a debate between them.\n\nScott then surfaces key divergences and lets builders choose the best options directly in the interface. Once aligned, your final design plan is shareable with your team, and fully portable to whatever tools you use to build.\n\n**🙏 Our Ask**\n\nIf you answer “yes” to any of the following, we would love your help:\n\n* **For Developers.** Rethinking the way software should be done in the era of coding agents?[ ](https://www.tryscott.ai/download)[Try Scott](https://www.tryscott.ai/apply) and let us know what you think.\n* **For Teams**. Does your team care deeply about incorporating coding agents into your system design review process? We've built an experience we are actively piloting with forward-thinking teams. Schedule time with us[ ](https://calendly.com/davidmaulick/30min)[here](https://calendly.com/d/ctfh-v6b-pst/scott-user-chat)!\n\n👉 Contact us at [founders@withjuno.dev](mailto:founders@withjuno.dev)\\\n👉 Follow us on X - [https://x.com/scott_ai\\\\](https://x.com/scott_ai%5C)\\_\n\n[**👬**](https://emojipedia.org/men-holding-hands) **The Team**\n\nDevin and David have known each other for over five years.\n\nDavid (CEO & Co-Founder) is an ex staff software engineer and engineering manager from Coinbase. Over the past 4 years, David has been focused on building and evangelizing eng platforms to help Coinbase product engineers move faster + scale Coinbase to the next billion users. When he left, the teams that he helped build/lead powered 95% of UI at Coinbase, 65% of Coinbase edge traffic and were used by more than 700 engineers daily. \n\nDevin (CTO & Co-Founder) is ex founding eng & head of mobile at Comun (Redpoint, Costanoa), KP Eng fellow, and consulting at Bain. At Comun, Devin was known for often landing projects slotted for multiple weeks in a single weekend. Stanford BS in CS, focus on AI.\\\n\\\nCheck out our Hackerhaus:\n\n![uploaded image](/media/?type=post&id=95166&key=user_uploads/1254494/9b9a736a-438a-441f-aa19-e7acb93856cd)\n\n", "url": "https://www.ycombinator.com/launches/Okw-scott-ai-agentic-workspace-for-software-spec-design", "votes": 122, "created_at": "2025-11-04T20:43:23.590Z" } ] }, { "id": 30943, "name": "Aside", "slug": "aside", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png", "website": "https://aside.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aside is an AI browser that completes real work across the websites you already use. It can sign in through your browser, work inside email, dashboards, internal tools, docs, and spreadsheets, and keep going when a task takes minutes or hours.\r\n\r\nUnlike agents that depend on integrations, Aside uses the web the way you do. Browsing history becomes local memory, so it knows which tools and context matter. Its password manager lets agents autofill credentials without exposing secrets to the AI. Sensitive actions like payments, posts, and messages wait for your approval.\r\n\r\nWe achieved state-of-the-art on agentic browsing benchmarks, surpassing OpenAI and Anthropic's result- Aside ranked #1 across Mind2Web, Odyssey, bu-bench-v1.", "one_liner": "The browser built to do real work for you", "team_size": 8, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1760485553, "tags": [ "SaaS", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aside", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/aside.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/showcase/asidehq", "x_url": "https://x.com/AsideAI", "fb_url": null, "cb_url": null, "github_url": "https://github.com/at-inc/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2e9196c93cd4fc802b51eabcb6432760d1efd3fb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b6937d01eda60304dd53f923c04c9412ae29df0e.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1576589, "full_name": "Jun Kim", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Aside (YC F25) / founding member of Airbridge.io since age 17 ($30M ARR). crafted products from OS, DB to K-POP since my age 9.", "is_active": true, "linkedin_url": "https://linkedin.com/in/therne", "x_url": "https://x.com/hyojun_at", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a08d34995961dc97330e3173e8d4dc547de9fdd.jpg" }, { "user_id": 709934, "full_name": "Chanhee Lee", "title": "Founder/CPO", "founder_bio": "Co-founder, Aside (F25)\nFounding Engineer at Airbridge.io, helped scale the company from $0 to $30M ARR. Founded a non-profit organization backed by Microsoft at age 15.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hiddenest", "x_url": "https://x.com/hiddnest", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b87cc625fc41ae82630e443d124af836c7e0eea.jpg" }, { "user_id": 2372908, "full_name": "Sanghun Lee", "title": "Founder/CTO", "founder_bio": "Co-founder of Aside (F25) - Started coding at 14 and saw an app I built reach 1M+ downloads", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dsa28s/", "x_url": "https://x.com/dora_lee_1344", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b484602d8f2dce50943829a2fc18f2d27f0733cf.jpg" } ], "jobs": [ { "id": 100433, "title": "MTS - Founding Designer", "url": "https://www.ycombinator.com/companies/aside/jobs/Iw9ggf8-mts-founding-designer", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$150K - $230K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "TypeScript", "Figma" ] }, { "id": 100434, "title": "MTS - Mobile Engineer (iOS)", "url": "https://www.ycombinator.com/companies/aside/jobs/JPoBOxV-mts-mobile-engineer-ios", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "iOS", "Swift", "Distributed Systems", "Software Architecture" ] }, { "id": 100863, "title": "GTM", "url": "https://www.ycombinator.com/companies/aside/jobs/2CqWz53-gtm", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $180K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111323, "title": "MTS - Agent Harness", "url": "https://www.ycombinator.com/companies/aside/jobs/hXg7r91-mts-agent-harness", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript", "Distributed Systems", "Software Architecture", "Evals", "AI Agents" ] }, { "id": 111489, "title": "MTS - Product", "url": "https://www.ycombinator.com/companies/aside/jobs/rlEnHD9-mts-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $300K", "equity_range": "0.50% - 1.50%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] } ], "news": [ { "title": "With ChatGPT Atlas shutting down, here are the AI browsers people actually use - 9to5Mac", "url": "https://9to5mac.com/2026/07/10/with-chatgpt-atlas-shutting-down-here-are-the-ai-browsers-people-actually-use/", "date": "Jul 10, 2026" }, { "title": "As the browser wars heat up, here are the hottest alternatives to Chrome and Safari in 2026 | TechCrunch", "url": "https://techcrunch.com/2026/05/30/as-the-browser-wars-heat-up-here-are-the-hottest-alternatives-to-chrome-and-safari-in-2026/", "date": "May 30, 2026" }, { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 95050, "title": "Aside: Live answers for enterprise tech sales", "tagline": "We help tech sales reps answer technical questions during calls.", "body": "**TL;DR** [Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces answers from your docs, Slack, and past calls, helping tech sales reps answer technical questions.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/8b08bb03-388b-48f9-a9c5-198a0329db44)\n\nHey 👋, we're Jun, Chanhee, and Sanghun, the founders of [Aside](https://asidehq.com/?utm_source=launch_yc).\n\nEveryone’s using AI for sales these days - emails, outreach, everything - except the part that actually matters: the call.\n\n## ❌ Problem: The Knowledge Gap in Sales\n\nSales reps often freeze when faced with technical questions. Like:\n\n> Are HSTS or strict transport policies enforced during data transmission?\n\nMost say, _“Let me get back to you”,_ and the deal cools off. That’s why teams burn $60K+ a year on coaching, mock calls, and LMS exams. I’ve paid that bill too.\n\nBut onboarding drags. Products change fast. Tech-savvy AEs are rare.\n\nWhat if your reps could pull the right answers instantly– straight from your best calls, API docs, or Slack threads?\n\n## ✨ Solution: Let your reps cheat on sales calls\n\n[Aside](https://asidehq.com/?utm_source=launch_yc) listens to your sales calls and surfaces real-time answers pulled from your docs, HubSpot, or past calls. It's like pressing **𝚌𝚝𝚛𝚕+𝚟** on your company’s knowledge into every rep – so anyone can sound like your best rep.\n\n**_🎬 Watch our [launch video](https://youtu.be/ZZVn6w0o8jQ) 👇_**\n\n---\n\n---\n\n# How it works\n\n\\*\\*🔎 Get answers from your docs, Slack, and past winning calls.\\*\\*\\\nWhen a tough question hits, just click **“How can I answer?”** - the right answer lands in 800ms. No guessing, no “let me get back to you”.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/873df5e6-aeb0-4bc6-bc89-ff00031ecf4c)\n\n📝 **Live coaching that catches what you miss**\\\nWhen you miss a key pain point, Aside flags it live — before the deal goes cold. It nudges what to ask next and coaches you using your playbook — BANT, SPICED, whatever your team runs on.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/667d0f76-a05a-46ff-9d2f-4fa8a781f218)\n\n💬 **Preload your cheatsheets as Live Cards**\\\nTurn your best answers into in-call cards that pop up right when you need them. No more flipping tabs — your best answers, ready the moment the question hits.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/d9b7fd18-89bb-418d-a733-85713ab3f4a1)\n\n**🎓 Coaching feedback, remembered by AI**\\\nAfter the call, Aside reviews what happened, gives you feedback, and turns it into live suggestions for the next one - so you never repeat the same mistake.\n\n![uploaded image](/media/?type=post&id=95050&key=user_uploads/1576589/efb28b23-26ec-49b4-a50e-a66616439ca6)\n\n# Our story\n\nJun and Chanhee were the founding engineers of [Airbridge.io](http://Airbridge.io). Jun worked with 50+ reps as a solutions consultant - the person who answers technical questions on calls. So basically, we're replacing our past selves with AI!\n\n# Ask\n\n* Try it: [AsideHQ.com](https://asidehq.com)\n* Know any B2B tech startups that are actively hiring new reps? Intro us!\n* Been using sales coaching tools? Reach out to us! (_we have a special offer for you_)\n\n## Reach us\n\nJun - [jun@asidehq.com](mailto:jun@asidehq.com) / [LinkedIn](https://www.linkedin.com/in/therne/) / [X](https://x.com/hyojun_at) / 628-529-8098\\\nChanhee - [chanhee@asidehq.com](mailto:chanhee@asidehq.com) / [LinkedIn](https://linkedin.com/in/hiddenest) / [X](https://x.com/hiddnest) - 628-529-6213", "url": "https://www.ycombinator.com/launches/Oj4-aside-live-answers-for-enterprise-tech-sales", "votes": 180, "created_at": "2025-10-31T00:30:14.965Z" } ] }, { "id": 30945, "name": "Zalos", "slug": "zalos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "website": "https://www.zalos.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Zalos is the Finance Automation Workbench for enterprise finance teams.\r\n\r\nZero Integrations | Transparent Decisioning | Outcome-based Pricing\r\n\r\nLearn more at www.zalos.ai/contact-us\r\n\r\nZalos AI Workers automate processes with improved accuracy, controls & auditability, using a Finance-specific agent harness & skill library.\r\n\r\nBacked by Y Combinator, 14 Peaks, Cohen Circle and strategic angels such as CFO Fedex, Board Member TA Associates, COO Deel and more.\r\n\r\nHire Zalos AI workers such as:\r\n• Zalos AI Staff Accountant\r\n• Zalos AI Billing Analyst\r\n• Zalos AI AP Analyst\r\n• Zalos AI Treasury Manager\r\n\r\nAnd more. Discuss your enterprise finance transformation at www.zalos.ai/contact-us", "one_liner": "Hire Zalos AI workers to run your finance department", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759103907, "tags": [ "Fintech", "Finance", "Enterprise", "Billing", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Finance processes do not live in one system. They run across ERPs, portals, spreadsheets and inboxes that do not connect cleanly. People move data and resolve the same exceptions by hand every month.\r\n\r\nZalos AI Workers operate those systems the way a finance team does, with tighter controls, accuracy and auditability, using a finance-specific agent harness & skill library.\r\n\r\n**WHY FINANCE TEAMS CHOOSE ZALOS** \r\n\r\n1\\. ZERO SYSTEM INTEGRATION \r\n\r\nAI Workers log in and use your systems through the user interface, as your team does. There are no API integrations to build and no software to replace. \r\n\r\n2\\. TRANSPARENT DECISIONING \r\n\r\nDecisions follow deterministic rules, not model judgement. Decision logic, inputs and controls are traceable and ready for audit, with linked workbooks and timestamped run logs behind every entry. \r\n\r\n3\\. OUTCOME-BASED PRICING\r\n\r\nROI secured by Zalos solving last-mile work, then customer starts subscription when criteria met." } ], "url": "https://www.ycombinator.com/companies/zalos", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zalos.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/zalos/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1e6ee7d8a3b596506042ea8802d90c9c4292a17.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f7e524b37043948e82ce17c31ac512c4d8af84b5.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 42612, "full_name": "William Fairbairn", "title": "Founder/CEO", "founder_bio": "William was UK General Manager at Agicap, one of the leading ‘Office of the CFO’ startups in Europe (valued at ~$800m).\n\nHe previously was in McKinsey Tech practice, and built & exited a B2B SaaS.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/willfairbairn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ec080db6feb17e7dcea5af731595718d513c4bbe.jpg" }, { "user_id": 2531337, "full_name": "Hung Hoang", "title": "Founder/CTO", "founder_bio": "Hung built Apple Pay products like Buy Now Pay Later, serving millions daily, and worked on AI initiatives at Apple and other AI startups (Twin.so, Gitguardian).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hxuanhung/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a54a8145817c1b3a9f8101446d01fa70ed01f395.jpg" } ], "jobs": [ { "id": 89202, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/MbpksyV-founding-product-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £130 GBP", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 95332, "title": "Senior AI Engineer", "url": "https://www.ycombinator.com/companies/zalos/jobs/q9x1zkX-senior-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£70 - £140 GBP", "equity_range": "0.20% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Zalos Raises $3.6M To Bring Computer Agents To The CFO's Office", "url": "https://www.forbes.com/sites/ilonalimonta-volkova/2026/03/24/zalos-raises-36m-to-bring-computer-agents-to-the-cfos-office/", "date": "Mar 24, 2026" } ], "launches": [ { "id": 94182, "title": "⚡ZALOS: Computer Agents for Finance Operations", "tagline": "Automate repetitive Finance workflows like categorization & reconciliation, without changing Finance systems!", "body": "### **Eliminate your Finance Operations grunt work - NOW!**\n\n**Zalos Computer Agent:**\n\n⚡Logs into existing systems (e.g., ERP, Accounting, other CFO tools)\n\n⚡Automates Finance processes (e.g., reconciliation, categorization, form filling)\n\n⚡Uploads & submits in your system\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n**Our ask:** Send our website / YouTube to 5 friends in Midmarket / Enterprise Finance & Operation teams - thank you!\n\nhttps://youtu.be/tx5ymY7DZEU?feature=shared\n\n### **Why IS THIS?**\n\n# **The Blockers ➜ Your Finance Systems:**\n\nFinance Operations is buried in repetitive tasks, driving:\n\n❌ **Lack of financial visibility** for decision-making\n\n❌ **Wasted time** by in-house or outsourced teams\n\n❌ **Mistakes** and **delays** from human-driven processes\n\nBarriers to FinOps automation have included:\n\n🚨 **Legacy ERPs** with limited AI\n\n🚨 **Authentication-protected** websites & portals\n\n🚨 **Too many Finance Systems** that don’t speak to one another\n\nIt doesn’t have to be this way.\n\n# **The Breakthrough ➜ Zalos:**\n\nZalos Agents run your rule-based processes, using your existing Finance applications:\n\n⭐ Our agents **automate processe**s based on **simple instructions** (e.g., Screen Recording, PDFs)\n\n⭐ **Native handling of ERPs** or other applications (e.g., 2FA, Captcha)\n\n⭐ **Superior Finance & Accounting task performance**, including leveraging our **FinOps libraries** (e.g., System Access, Categorization, Reconciliation, etc.)\n\n![uploaded image](/media/?type=post&id=94182&key=user_uploads/42612/798b755c-d5bd-4b10-be1a-dd27ee7a41ff)\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# **Customer story:**\n\n**FROM:** In the Bay Area, a Finance Manager was wasting 4 days (!) per month:\n\n✖️ Downloads transactions from Corporate Credit Cards & legacy Banks\n\n✖️ Uploads into NetSuite and manually categorizes 100s of transactions\n\n**USING ZALOS:** Finance Manager schedules ‘run process’ weekly:\n\n✔️ Zalos handles 2FA to download & submit required transactions\n\n✔️ Zalos operates NetSuite to categorize >60% outstanding transactions\n\nNo browser required: Zalos works silently in the background, continuously improving itself.\n\nGaining 1 day per week was transformational. The Finance Manager could:\n\n🟪 Reduce financial risks with closer inspection (e.g., debt covenants)\n\n🟪 Catch cash leakages by spotting suppliers being paid at generous terms\n\n🟪 Be a strategic partner to the CEO & business with better analysis\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\nZalos **transforms** your Finance Operations:\n\n☑️ **Scale without headcount** - don’t let Operations teams be a bottleneck\n\n☑️ **Smarter every day**, with evals & RL-finetuning driving a self-performing system\n\n☑️ **Built for Enterprise-grade security** and screen records every automation for audit\n\nRequest demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻⸻\n\n# The Team\n\n**William** was UK General Manager at Agicap, one of the largest ‘Office of the CFO’ startups in Europe, after working at McKinsey. He previously built & sold a bootstrapped B2B SaaS.\n\n**Hung** built Apple Pay products like Buy Now Pay Later, serving millions daily, and led on other AI initiatives at Apple, alongside working for other great AI startups.\n\n## **⚔️ We’re on a war path to automate repetitive Finance tasks⚔️**\n\n➡➡ Request demo here:[ ](https://bit.ly/4gJalwn)https://www.zalos.ai/contact-us\n\n📩📩 **Questions?** Email me at: [will@zalos.ai](mailto:will@zalos.ai)\n\n🙏🙏 **Our ask:** Send our website / youtube video to 5 friends in Finance / Operations - thank you!", "url": "https://www.ycombinator.com/launches/OV4-zalos-computer-agents-for-finance-operations", "votes": 324, "created_at": "2025-09-29T14:00:21.640Z" } ] }, { "id": 30946, "name": "Sourcebot", "slug": "sourcebot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dc3d95366a9f12c7989780cf364009423a55b54.png", "website": "https://www.sourcebot.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks.\r\n\r\nUnderstanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase.\r\n\r\nSourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval.\r\n\r\nWe met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.", "one_liner": "Helping humans and AI agents understand massive codebases", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759606313, "tags": [ "Developer Tools", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sourcebot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/sourcebot.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sourcebot", "x_url": "https://x.com/sourcebot_dev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dc3d95366a9f12c7989780cf364009423a55b54.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": 1449228, "full_name": "Michael Sukkarieh", "title": "Founder/CEO", "founder_bio": "Cofounder at Sourcebot. Previously worked on the largest game engines in the world at Ubisoft and EA, the worlds first cloud-first game engine at Google, and John Carmack's original Oculus OS team at Meta.", "is_active": true, "linkedin_url": "https://linkedin.com/in/msukkari", "x_url": "https://x.com/msukkarieh1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50000a60f3b9414f186dcd0fa4c2271bc99c713c.jpg" }, { "user_id": 1454838, "full_name": "Brendan Kellam", "title": "Founder/CTO", "founder_bio": "Co-founder at Sourcebot. Previously built core game streaming tech on the Xbox Cloud Gaming team, worked on search inside of Visual Studio, and was the youngest engineer who helped ship Far Cry 5 at Ubisoft. I'm originally from Toronto and attended McGill University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brendan-kellam", "x_url": "https://x.com/bshizzle28", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d2937cf7761b2ab9954a2e0169b4193984c3ec0.jpg" } ], "jobs": [ { "id": 96308, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/sourcebot/jobs/WVbwFeV-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 96310, "title": "Chief of Staff", "url": "https://www.ycombinator.com/companies/sourcebot/jobs/tl38yrA-chief-of-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $200K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94687, "title": "Sourcebot: The Code Understanding Platform", "tagline": "Helping developers and AI agents understand massive codebases.", "body": "**TL;DR**: Sourcebot is an open source code understanding platform. It’s used by thousands of engineers in some of the largest companies in the world (including **NVIDIA, Red Hat, Wikimedia, and Arista Networks)** to help developers and AI agents understand massive codebases.\n\n[https://youtu.be/YJIi-gcAM3g](https://youtu.be/YJIi-gcAM3g%5C)\n\n\\\n**The problem:**\n\n* Large engineering teams manage **millions of lines of scattered and undocumented code**.\n* Individual engineers must regularly find and understand code across this complex environment to do their job. Existing tooling to do so is **inadequate, rudimentary, and often nonexistent.**\n* **AI agents have this problem too.** They need this context to provide usable results within an enterprise environment\n\n**The solution:**\n\nSourcebot solves this by providing the following tools:\n\n* **Code Search -** instantly search across millions of lines of code. Supports regex, boolean logic, and repo/file/branch filters.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/70c891b0-cfec-4ff6-b070-fc1f212c29da)\n\n* **Ask -** ask questions in natural language across thousands of repos. Like asking in Cursor, but across all your repos and in a web app with inline citations.\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/b97e4beb-83cb-4d8d-b6b0-ed53a2a973c8)\n\n* **MCP -** gives both of the above tools to AI agents, allowing them to fetch context from code across your organization.\n\nAdditional features:\n\n* We integrate with any **code host** (e.g., GitHub, GitLab, BitBucket, etc.) as well as any **LLM model** (e.g., OpenAI, Anthropic, Bedrock, etc.). Bring your own LLM key.\n* Sourcebot is **open source** and **self-hosted** - none of your code leaves your deployment. Deploy and index all your repos in minutes with a single docker container.\n* We have a community edition that’s **free to use**, and a paid enterprise edition with advanced navigation features, analytics, and security/compliance features.\n\n**Our story:**\n\nBrendan and I met 10 years ago during our first week at McGill University 🇨🇦. We were both into game engines, which led us to work at Ubisoft Montreal on the largest game engines in the world. Afterwards, we worked on some of the most complex systems out there: Visual Studio at Microsoft, a cloud-first game engine at Google, VR operating systems at Meta, and cloud-streaming infrastructure at Xbox. Ramping up and understanding these systems was always a long, painful process - which is what led us to build tools to help developers understand this complexity.\\\n\\\nLearn more here: https://www.sourcebot.dev/\n\n![uploaded image](/media/?type=post&id=94687&key=user_uploads/1449228/4ef682b8-0ac6-48a4-937d-8a64d62f34d3)\n\n", "url": "https://www.ycombinator.com/launches/OdD-sourcebot-the-code-understanding-platform", "votes": 54, "created_at": "2025-10-16T15:49:09.018Z" } ] }, { "id": 30947, "name": "Philon", "slug": "philon", "former_names": [ "Philon", "Spatial AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.png", "website": "https://philon.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Building open-source general-purpose robots capable of performing unsafe, repetitive or boring tasks.", "one_liner": "General Purpose Robots", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761067885, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/philon", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/philon.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/94854659", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c55c56d8a17e50d5a5504f506e783c2b8c9f8a61.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": 2367289, "full_name": "Alexandros Petkos", "title": "Founder", "founder_bio": "Building General Purpose Robots", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandros-petkos/", "x_url": "https://x.com/alex_petkos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2334445a73b87d24bc5aac380f045775e996fc16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95567, "title": "Spatial AI: Large datasets for robot foundation models", "tagline": "Collecting large-scale real-world data to teach robots how to navigate the world and complete tasks.", "body": "![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/61a41a40-748f-4ef4-8196-4b5ca76ef86d)\n\n**Spatial AI** ([**https://spatial-ai.com/**](https://spatial-ai.com/)) is building large datasets for robot foundation models.\n\n**Open Source**: [**https://huggingface.co/datasets/spatial-ai/sea-small**](https://huggingface.co/datasets/spatial-ai/sea-small)\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/5313b99e-aa0b-46d4-b4d4-cd9983bedecd)\n\n**The Problem:**\n\nThe biggest obstacle to bringing robots into everyday life is the software. We need far more capable models to control general-purpose robots effectively and enable them to carry out tasks in the physical world.\n\n![uploaded image](/media/?type=post&id=95567&key=user_uploads/2367289/7a226006-47e9-4c89-bcd2-b09ce89cb241)\n\n**The Solution:**\n\nTo train capable models, we need vast amounts of high-quality data. Our first dataset SEA (Spatial Everyday Activities) is the largest well-curated egocentric dataset of people performing tasks.\n\n**Story:**\n\nI’ve been building humanoids and dynamic robots for nearly a decade, starting in my garage when I was a kid.\n\nhttps://alexandros-petkos.com/humanoid-work\n\nhttps://alexandros-petkos.com/quadruped-work\n\nAlex", "url": "https://www.ycombinator.com/launches/OrP-spatial-ai-large-datasets-for-robot-foundation-models", "votes": 23, "created_at": "2025-11-17T19:55:18.588Z" } ] }, { "id": 30948, "name": "Lua Global Inc", "slug": "lua-global-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/40655594dbcd381c6c79a9439597f94109447459.png", "website": "https://heylua.ai/", "all_locations": "London, England, United Kingdom", "long_description": "Lua is the mid-market agent platform.\r\n\r\nWe deliver enterprise reliability with the speed, flexibility, and economics that mid-market companies demand - helping them deploy AI agents that drive sales, support, and operations across everyday channels and tools.\r\n\r\nWe scale through developer agencies and channel partners, enabling rapid distribution without a large enterprise sales motion or scaled forward deployed teams. We think of Lua as an agentOS that abstracts all of the complexity required to launch enterprise grade agents and combine it with the tools needed for these agents to succeed in the real world.\r\n\r\nLua was founded by Lorcan O Cathain (CEO) and Stefan Kruger (CTO)- experienced founders who have spent 15 - 20 years each scaling technology companies across emerging markets.\r\n\r\nWe sell to mid-market enterprises and developer agencies in the US and internationally. Developers are increasingly our primary ICP but we run SMB & enterprise sales motions to accelerate our learnings and further develop our product:\r\n- SMB ($25- 1k per month): fully automated self-serve agents that handle sales and support for eCommerce companies, hotels, restaurants and general service businesses. If you’ve been on our website you’ve likely seen this.\r\n- Enterprise: We directly sell to mid-market (~ $50M- $1BN) businesses across the US and internationally to eat our own dog food and strengthen our platform.\r\n", "one_liner": "The mid-market agent platform", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758009464, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lua-global-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lua-global-inc.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/lua-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/40655594dbcd381c6c79a9439597f94109447459.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": 2558838, "full_name": "Lorcan O Cathain", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Lua AI- we enable builders to launch enterprise grade AI agents quickly, reliably and at scale. Before co-founding Lua I spent 15 years building and investing in technology companies across emerging markets. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lorcan-o-cathain/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/533386e98cac3014afd82d05b7c1c8db062dc2b0.jpg" }, { "user_id": 2558847, "full_name": "Stefan Kruger", "title": "Founder/CTO", "founder_bio": "Stefan Kruger is the co founder and CTO of heylua.ai, a chat-first AI platform helping businesses become AI native in a couple of clicks. Before starting Lua, he was VP of Engineering at Paystack (acquired by Stripe), where he spent nearly a decade scaling fintech infrastructure across the continent. A builder at heart, Stefan has deep experience in resilient systems, orchestration, and developer tooling, and is passionate about making AI accessible in the everyday platform", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stefan-kruger-0957b168/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/722b80b5ec16a0a96a83fcf205a6747d6f568740.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95467, "title": "Lua AI- the unified agent platform for mid-market enterprises", "tagline": "We make it easy for enterprises to build, deploy, and scale AI agents across their entire business.", "body": "[https://youtu.be/BopUplmvTmo?si=jbSAqaSmyhjuVGyM](https://youtu.be/BopUplmvTmo?si=jbSAqaSmyhjuVGyMThe)\n\n**Problem**\\\nWe disagree with nearly every aspect of how AI solutions are being sold to enterprise clients today. Large consultancy budgets, big forward deployed teams, inventive outcomes based pricing models that feed off labour budgets. Specialised platform after specialised platform.\n\nIt feels like a transitory arbitrage opportunity; as an enterprise you get the bumper sticker but no durable advantage.\n\nLua makes it easy for teams to build out their own intelligent agent layer, leveraging insights and driving outcomes across their business without the $1m+ consulting contracts, tool fatigue or outcomes tax.\n\nWe want companies to own their own outcomes - not rent them.\n\n**Our Platform**\\\nLua makes it simple to roll out agents that are deeply integrated, measurable, and under your control across your entire business. Our platform abstracts all of the complexity required to launch enterprise grade agents and combines it with the tools needed for these agents to succeed in the real world.\n\nDeveloper docs available here: https://docs.heylua.ai/overview\n\n**Journey**\\\nWe kicked off in March this year with a focus on building sales and support agents for SMBs that were integrated into their revenue engine and could be deployed in a couple of clicks across all their channels (web, app, instagram, messenger, whatsapp, etc). We built 300+ of these agents and quickly realised most partners wanted custom skills and deeper integrations to differentiate their agentic experience from their competitors and to truly succeed in the real world.\n\nTo solve this we built an abstraction layer that lets teams create their own skills and integrations on top of Lua that has quickly become our primary product.\n\n**How We Grow**\\\nDistribution is where we win. We are a small team scaling simultaneously across the US, EMEA and South East Asia. We grow through developer agencies and channel partners, enabling distribution without a large enterprise sales motion or scaled forward deployed teams.\n\n**Some of the things people are building on Lua:**\n\n* Digital banks are re-designing their core around Lua’s intelligence layer\n* On-demand delivery businesses use Lua to transition from app-based to chat first commerce\n* Growth agencies are building inventive new ways to pre-qualify leads and optimise funnel performance\n* Hotel booking engines are rolling out booking and concierge agents to their clients\n* Large family businesses are weaving Lua into all of their existing systems and tools to automate processes and aggregate insights across their business verticals.\n\n**The Team**\\\nLua was founded by [@Lorcan O Cathain](https://bookface.ycombinator.com/user/2558838) (CEO) and [@Stefan Kruger](https://bookface.ycombinator.com/user/2558847) (CTO)- we’ve spent our careers scaling technology companies across emerging markets.\n\nAsks:\n\n* We’d love you to build on Lua and get your feedback!", "url": "https://www.ycombinator.com/launches/Opn-lua-ai-the-unified-agent-platform-for-mid-market-enterprises", "votes": 34, "created_at": "2025-11-12T22:45:02.057Z" } ] }, { "id": 30949, "name": "Crunched", "slug": "crunched", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "website": "https://usecrunched.com/", "all_locations": "Oslo, Oslo, Norway", "long_description": "Crunched is the Excel AI analyst for power users - in consulting, investment banking, and private equity. It error-checks workbooks end-to-end, builds models from scratch, and handles grunt work like extracting and linking data from IMs to template models - all within Excel so teams can review and iterate as usual.\r\n\r\nAgents struggle with tabular data - getting reliable, multi-step execution over thousands of interlinked formulas, sheets, and ranges is hard. Making Crunched good enough for people who live in Excel means knowing the pain points deeply.\r\n\r\nMichael and Philip has 10,000+ hours in Excel across consulting and finance. Markus and Lars bring deep expertise in scaling AI and enterprise solutions.\r\n\r\nWe've had easy access to first customers and are already live with firms across six European countries - we now plan to expand into the US. With >1bn total Excel users, we focus on the top 2%, highest-value Excel users globally. \r\n\r\nWe're solving one pain point at a time to create a product that doesn't just look good in a demo but actually works in production.\r\n\r\nExcel is here to stay, but the way experts model is fundamentally changing - with Crunched.", "one_liner": "Excel AI analyst for Power Users", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1760902114, "tags": [ "Finance", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Norway", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crunched", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/crunched.json", "year_founded": 2025, "city": "Oslo", "country": "NO", "linkedin_url": "https://linkedin.com/company/usecrunched", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eeb6c636c9bec76ca5801d4482c565a9d00c3bd3.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2751214, "full_name": "Philip Borge", "title": "Founder", "founder_bio": "Co-founder & CEO at Crunched. Previous McKinsey PE and CEO of Okkult, an AI-powered optician concept. MSc in Finance & Private Equity from the London School of Economics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philip-z-borge-97690b149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b961b9c941ed1e9931bdd0372990d930d81c405.jpg" }, { "user_id": 2978949, "full_name": "Lars Gjardar Musæus", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Crunched. Senior full-stack and infrastructure engineer with deep experience building production systems - from cloud platforms and distributed backends to real-time control systems. Worked closely with customers to deliver tailor-made, end-to-end applications in forward-deployed engineering teams at Bekk, built cloud infrastructure at Schibsted and Sopra Steria, and developed autonomous maritime systems at Kongsberg Defence. Holds an MSc in Cybernetics & Robotics (NTNU).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3d07ff05f546de95769f47cf3b56f56ebe70f68.jpg" }, { "user_id": 2966727, "full_name": "Michael Sakowski", "title": "Founder", "founder_bio": "Co-founder & COO at Crunched. Previous consultant and jr manager at McKinsey & Company. Core member of our Private Capital practice, focusing on commercial due diligence and PortCo strategy. Earlier also crunched out Excels in both investment banking and private equity. Masters in Banking & Finance from University of St. Gallen in Switzerland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-sakowski-9b9043148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc6ba7341b90d7c4968341fc9ead7fe7b24e31cd.jpg" }, { "user_id": 2979507, "full_name": "Markus Skagemo", "title": "Founder", "founder_bio": "Co-founder and Head of AI at Crunched! Background in Robotics and Control Systems from NTNU. Former Data Scientist at Oda, Norway’s first unicorn, and at BearingPoint, where I built and scaled AI solutions for clients in finance and luxury automotive. Recipient of BearingPoint’s Global Innovation Award.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markus-skagemo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20c36a2bd78a64d932296d2b845f7998d9b1b60d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94760, "title": "Crunched - The AI Excel Analyst ⚡", "tagline": "Crunched makes consultants & finance professionals >2x their Excel modeling speed", "body": "Hi YC 👋\n\nWe’re [Philip](https://www.linkedin.com/in/philip-z-borge-97690b149/), [Michael](https://www.linkedin.com/in/michael-sakowski-9b9043148/), [Lars](https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/) and [Markus](https://www.linkedin.com/in/markus-skagemo/) - and we’re building [Crunched](https://www.usecrunched.com/?utm_source=YC&utm_medium=post)\n\n# **TL;DR**\n\n**Crunched is the first AI Excel agent built by and for Excel power users**, tailored for management consulting and finance workflows\n\nWe’ve spent 10,000+ hours in Excel ourselves, and are live with consulting, IB and PE firms across Europe and the US, 2x-ing their Excel modeling speed\n\n**_Ask:_** We would love for you to introduce us to mgmt. consulting, investment banking or PE firms - contact us at [philip@usecrunched.com](mailto:philip@usecrunched.com)\n\n[**https://youtu.be/zBXue210_qo**](https://youtu.be/zBXue210_qo)\n\n# **Why we’re doing it**\n\nMichael and Philip have worked on countless deals at McKinsey and in other IB/PE roles, and it always starts and ends with an Excel model. It’s either the main deliverable itself, or the entire backbone of the slide deck.\n\nNo matter how skilled you are, manual Excel modeling is slow and super error-prone. On one of our last projects, a company’s 2030 revenue projection presented to the CEO was doubled because a colleague (promise it was a colleague), had linked the forecast to year 1 revenue growth for all years. That was a fun follow-up call afterwards.\n\nAssociates need specialized AI tools they can collaborate with directly in their workflows, to drive productivity and accuracy. The solution is not to replace Excel, but to augment it and solve one pain point at a time. That’s why we’re building Crunched.\n\n# **What we’re doing**\n\nCrunched is an Excel-native AI analyst that can:\n\n1. **_Error-check models:_** Check models for logical, formula and conceptual mistakes\n2. **_Gather data:_** Run targeted web research and extract figures from PDFs (e.g., annual reports) and link it into templates\n3. **_Build analyses:_** Build bespoke analyses from scratch, turning 1h tasks into 5-10min automated workflows\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b2d93de1-6fa0-44de-b6eb-3ec8197d190a)\n\nUsers are already reporting that they’re >2x faster on specific tasks. We are on a mission to make it 10x across all modeling work.\n\n# **Team**\n\nMichael and Philip have 10,000+ hours of Excel experience (often until 4am) from McKinsey. Lars and Markus have years of experience shipping and scaling award winning AI enterprise solutions, and are building Crunched with the cutting-edge security needed for clients to trust us with their highly confidential data.\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b8c7c9db-f67a-4228-8db4-818620d713b7)\n\n# **Ask**\n\n**We’re expanding in Europe and into the US and are looking for warm intros** **to mgmt. consulting, IB and PE firms.** If you are or know any Excel power users we’d love your help.\n\nPlease reach out at [philip@usecrunched.com](mailto:philip@usecrunched.com) or book a live demo on [our website](https://usecrunched.com?utm_source=YC&utm_medium=post). All help is appreciated - **thank you!**", "url": "https://www.ycombinator.com/launches/OeO-crunched-the-ai-excel-analyst", "votes": 62, "created_at": "2025-10-20T14:48:59.711Z" } ] }, { "id": 30950, "name": "Narrative", "slug": "usenarrative", "former_names": [ "AdDojo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db1362ab305e5a74bfdc1a509c929ce8348b2df9.png", "website": "http://www.usenarrative.ai", "all_locations": "New York City, NY, USA", "long_description": "An AI-powered video editor that makes editing dramatically faster. Upload your clips, tell it what you want, and have Narrative edit them for you.", "one_liner": "AI Video Editor", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1759338774, "tags": [ "Consumer", "Video", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer", "Content" ], "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/usenarrative", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/usenarrative.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usenarrative/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db1362ab305e5a74bfdc1a509c929ce8348b2df9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/65bd0e4eb134b02ecec5ab578957e70fe903ec72.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2289348, "full_name": "Erik Vank", "title": "Founder/CEO", "founder_bio": "Building the future of video editing | ex-Apple", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erik-vank", "x_url": "https://x.com/erikvank05", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d06a29268fed4478e8f45445202f5eb6a112d8d8.jpg" }, { "user_id": 913333, "full_name": "Victor Chapman", "title": "Founder/CPO", "founder_bio": "Building the future of video editing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/victor-chapman-9175b2260/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/78e1b60b30e1b516f0c8b7c9687f5ea735520e25.jpg" }, { "user_id": 2428148, "full_name": "Aryan Sawhney", "title": "Founder/CTO", "founder_bio": "Building the future of video content | Prev @ RevisionDojo (F24), Logseq and Candor (W25)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryan-sawhney-a852b1229/", "x_url": "https://x.com/aryansawhney17/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ad483ba3252f9b537072213705e046084518ad62.jpg" } ], "jobs": [], "news": [ { "title": "Narrative’s CEO/Co-Founder Erik Vank on Using AI To Power Real-Time Sports Highlights – Sports Video Group", "url": "https://www.sportsvideo.org/2026/01/27/narratives-ceo-co-founder-erik-vank-on-using-ai-to-power-real-time-sports-highlights/", "date": "Jan 27, 2026" } ], "launches": [ { "id": 95083, "title": "Narrative: Cursor for Professional Video Editors", "tagline": "Edit terabytes of footage in seconds", "body": "Hi YC!\n\n**TL;DR:** Narrative is Cursor for professional video editing\n\nIf you **edit videos or work with post-production teams**, get in contact and we’d love to get you started.\n\nhttps://www.youtube.com/watch?v=1n3oEbTVB-c\n\n## **The team**\n\nWe’ve scaled consumer apps (games, AI study tools) to 2M users, and video marketing has been central to that growth. When we talked to businesses about their marketing, we kept hearing the same problem over and over: they had incredible footage from events and productions, but it took weeks to turn into content. Smaller teams simply didn’t have the time to edit this footage either. We dove deeper into post-production workflows and realized the entire industry was drowning in grunt work.\n\nPreviously, we’ve worked on computer vision research at Brown and software engineering research at UW, as well as AI infrastructure at Apple and marketing for Vectara.\n\nProfessional video editors spend 90% of their time on work that has nothing to do with creativity.\n\nThey're scrubbing through hours of raw footage, hunting for specific moments, organizing clips, and fighting archaic software — while the actual artistry gets squeezed into whatever time remains.\n\nWe're **Erik, Aryan, and Victor;** we built **Narrative** to fix this.\n\n## **What Narrative does**\n\nNarrative automates the repetitive work:\n\n* Add b-roll to the timeline intelligently for an interview, based on the transcript\n* Search terabytes of footage using natural language and instantly find similar clips\n* Pull selects and create stringouts for social media and long form edits\n* Perform batch iterations through a conversational chat window\n\nProfessionals at corporate post-production teams, wedding videographers, and sports teams already use Narrative to cut hours from their workflow.\n\nWe will also be launching video editing and clipping APIs for businesses soon.\n\n![uploaded image](/media/?type=post&id=95083&key=user_uploads/2289348/cb7592c9-1f12-4e1b-96ce-60ab2be96364)\n\n## **How you can help**\n\n**Video editor or creator?** Try Narrative and tell us what you think: [narrative.video](https://www.narrative.video)\n\n**Need to edit videos/find specific moments via an API?** Reach out to us at [founders@usenarrative.ai](https://mailto:founders@usenarrative.ai)\n\n**Can you introduce us to:**\n\n* Post-production teams at studios, agencies, or media companies?\n* Sports teams or content creators producing high volumes of video?\n\nReach us at: [founders@usenarrative.ai](mailto:founders@usenarrative.ai) :)\n\nThank you!", "url": "https://www.ycombinator.com/launches/Ojb-narrative-cursor-for-professional-video-editors", "votes": 33, "created_at": "2025-11-01T16:08:12.079Z" } ] }, { "id": 30953, "name": "Relaw", "slug": "relaw", "former_names": [ "Relaw", "Primer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb0260bafa98dc299797de55569bc9898b1505c1.png", "website": "https://www.relaw.ai", "all_locations": "Los Angeles, CA, USA", "long_description": "Relaw powers leading AI-native law firms.", "one_liner": "AI Legal OS", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1759337648, "tags": [ "SaaS", "Legal", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/relaw", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/relaw.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/relaw-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bb0260bafa98dc299797de55569bc9898b1505c1.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": 734292, "full_name": "Chris Farestveit", "title": "Founder/CEO", "founder_bio": "Prior PM and Eng. Formerly at BCG and Dapper. Currently building AI agents for law firms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/green-c/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aa6f131bc5780d3c07e03075bb2d8525bf4d2b70.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30954, "name": "Specific", "slug": "specific", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32b20b00d4eefb0011495a24b9f27376787da0bc.png", "website": "https://specific.dev", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Specific lets your coding agent write code and build the infrastructure to deploy it. Connect your favorite coding agent and start building immediately. Run `specific dev` to get a full local environment running in seconds. Run `specific deploy` to go to production on our scalable cloud platform in minutes.", "one_liner": "The cloud platform built for coding agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1758776605, "tags": [ "Developer Tools", "No-code", "DevOps", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/specific", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/specific.json", "year_founded": 2025, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/specific-dev", "x_url": "https://x.com/specific_dev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/specific-dev/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32b20b00d4eefb0011495a24b9f27376787da0bc.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": 122815, "full_name": "Fabian Lindfors", "title": "Founder/CEO", "founder_bio": "Former tech lead at Stripe", "is_active": true, "linkedin_url": "https://linkedin.com/in/fabian-lindfors", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45f81a6a414dd2adc196cedd91057f854284ace2.jpg" }, { "user_id": 2974997, "full_name": "Iman Radjavi", "title": "Founder/CTO", "founder_bio": "4+ years of experience building mission-critical backend systems. Most recently built and scaled energy grid systems that processed 1B+ data points daily. MSc in Computer Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/iman-radjavi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbde14690de7669ddf979f48f85b09671d33fe42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95350, "title": "Specific: production-ready backends from natural language", "tagline": "Create and scale production-ready backends without configuration or coding", "body": "Hi! 👋\n\nWe’re [Fabian](https://www.linkedin.com/in/fabian-lindfors/) and [Iman](https://www.linkedin.com/in/iman-radjavi/), and we’re building [Specific](https://specific.dev/) — an agent that builds and deploys backends from natural language.\n\nSpecific makes it effortless to create, scale, and manage production-ready backends, without configuration or coding. Just describe what you need, and Specific builds it.\n\n# Why we are working on this\n\nWe’ve spent our careers as engineers building and maintaining complex backend systems, and learning firsthand what it takes to make them reliable, secure, and scalable.\n\n* **Fabian** spent three years at **Stripe**, where he was tech lead for systems that processed tens of billions of dollars each year.\n* **Iman** spent four years at startups like **Fever** and **Braive**, building software that balanced national energy grids and managed sensitive healthcare data under strict regulatory requirements.\n\nAs AI unlocks software building at an entirely new scale and speed, backends need to keep up in reliability, security and scalability. Specific is our way of making that possible.\n\n---\n\nSee it in action: https://youtu.be/62QGL3drU44\n\n# Backends are hard\n\nBackend-as-a-service platforms have made backend development much easier, but not easy enough for a new era where AI lets anyone build software in minutes.\n\nThey still require deep understanding of concepts like database schemas, migrations, security and APIs to use effectively. That limits how powerful and flexible non-technical users can be. Ambitions often exceed what the platforms make possible.\n\nThis gap becomes particularly clear for AI coding platforms. Their agents can generate impressive web and mobile apps, but still rely on users to sign up for and connect to an external backend provider. Integrating those providers can take weeks, and maintaining them is an ongoing effort to make sure the agent truly understands how to use them.\n\n# How Specific helps\n\nSpecific offers a backend-as-a-service that’s entirely generated and maintained by our own expert coding agent. We designed it to understand user needs from natural language prompts, and to build a tailor made backend automatically.\n\nYou can connect any coding agent to Specific in minutes through our MCP server. Once connected, you can now generate fully featured, secure, and scalable backends to match any frontend.\n\nBecause the backend is built and managed by our own agent, there’s no need to teach your agent how to use an external platform or maintain fragile integrations. Specific handles everything end-to-end, scaling seamlessly as projects grow.\n\n![uploaded image](/media/?type=post&id=95350&key=user_uploads/122815/3655d431-5a32-424d-9a95-7d8f6f6f6eab)\n\nFor our initial launch, we are working with AI coding platforms like [Natively](https://natively.dev/) that create thousands of new projects _every day_. We are hearing from these platforms that they want to focus on what they do best, designing and building great apps, without worrying about backends.\n\nWith Specific, they can:\n\n* **Launch new isolated projects in seconds** through our API. Fully white-label, end users don’t need to configure anything.\n* **Scale automatically.** Projects scale up based on usage, and down to zero when idle.\n* **Integrate in minutes** by connecting through our MCP server. No need to spend weeks teaching their agents how to build and maintain backends.\n* **Enable common integrations instantly**. Authentication, payments and LLMs work out of the box with no API keys or setup required from users.\n\n# Come talk to us\n\nGet in touch at [hello@specific.dev](mailto:hello@specific.dev).\n\nWe are excited to talk to everybody who needs backends, whether you have years of experience building software, have just discovered vibe coding, or are building a coding platform for others.\n\nWe also have a waitlist that you can sign up for on our site: [specific.dev](https://specific.dev/). We will be inviting folks from the waitlist to a private beta of Specific soon. Sign up early to be one of the first to get access!", "url": "https://www.ycombinator.com/launches/Onu-specific-production-ready-backends-from-natural-language", "votes": 154, "created_at": "2025-11-10T02:28:02.906Z" } ] }, { "id": 30956, "name": "Automax.ai", "slug": "automax-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f265caa416fd1f57b94ea1289947654c7e9e7877.png", "website": "https://automax.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Automax.ai does property appraisals faster and more transparent. Our mobile app uses LiDAR and computer vision to capture property details automatically, and our custom-trained AI agents combine that data with all the analysis and aggregation required to to generate a complete appraisal report in minutes. The result is a clear, grounded valuation, fully Fannie Mae & Freddie Mac compliant — done in under 20 minutes from start to finish.", "one_liner": "AI native real-estate appraisal firm", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Housing and Real Estate", "launched_at": 1760729258, "tags": [ "B2B", "Proptech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Housing and Real Estate" ], "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/automax-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/automax-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/automax-ai", "x_url": "https://x.com/H4mzaAhmed", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f265caa416fd1f57b94ea1289947654c7e9e7877.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": 1939136, "full_name": "Humza Ahmed", "title": "Founder/CEO", "founder_bio": "Founder @ Automax.ai | Building Agents to automate property valuations\nDropped out @uwaterloo se | Prev ML research @Huawei", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/h4ahmed/", "x_url": "https://x.com/H4mzaAhmed", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3daff730ff2760b3ea2d149ccf7be1fed3b78144.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95483, "title": "Automax- AI-powered property appraisals in minutes", "tagline": "AI-native real-estate appraisal firm that delivers fully compliant valuations in minutes instead of days.", "body": "**TL;DR:** Appraisals have always been the bottleneck in mortgage underwriting, Automax will appraise any home in just **20 minutes**, fully compliant & with more transparency and data driven insights.\n\nhttps://www.youtube.com/watch?v=-M8BFckrxyk\n\nHey I’m Humza, Founder of Automax 👋\n\nFor the last 40 years, my family has been in the appraisal business. Automax first started as internal tooling to automate their manual Excel and report processes. That side project grew to power **3,000+ reports** a month for some of the largest appraisal firms nationwide.\n\nWhile building that out, we realized the root problem wasn’t tools - it was the appraisal workflow itself: subjective, opaque, and built for a workforce with a median age of 62.\n\nWith new top down regulation called UAD 3.6 coming in January and reshaping the entire reporting format & data guidelines, appraisals are about to experience its biggest reset in decades with **20% of the workforce retiring** and turn times set to expand from the current **5-7 day** average to **several week long**.\n\nHere’s how an Automax appraisal works:\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/5b40d57c-0f8b-45e3-a2a6-12cf719dc5a9)\n\nAutomax sends a certified inspector to scan the property with our mobile app- LiDAR and CV extract 150+ attributes: dimensions, condition, finishes, layout, and more.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/daeb1912-773d-4586-8901-1d114c13b2be)\n\nThat data feeds into AI Agents trained to follow the appraisal process, which generate a full valuation in under 10 minutes by reconciling market data, selecting and scoring comps, cleaning faulty inputs, and adjusting for subtle market signals (like how an upward-sloping backyard might impact site value uniquely in your neighborhood). A licensed staff appraiser then reviews, edits, and signs the report using **Appraisal Copilot**- our suite of AI tools for order management and review- interrogating data, tracing comps, and re-running analyses in context.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/954b1daf-7763-4d75-b86d-70ce54236749)\n\nThe result: a fully Fannie Mae & Freddie Mac compliant appraisal, **delivered on the same day**.\n\n**Ask:**\n\n* Today we’re taking appraisal orders across all of California & Colorado (with new states added each week)- if you or someone you know regularly orders appraisals (real-estate transactions, mortgage, tax, insurance, investment, etc), [**book a call with us here**](https://calendly.com/automax-ai/meet-with-automax-ai) and we’ll do your first appraisal for free.\n\n![uploaded image](/media/?type=post&id=95483&key=user_uploads/1939136/f7764b5c-5c45-4036-9490-910123208e70)\n\n", "url": "https://www.ycombinator.com/launches/Oq3-automax-ai-powered-property-appraisals-in-minutes", "votes": 20, "created_at": "2025-11-13T07:15:30.643Z" } ] }, { "id": 30957, "name": "Clad Labs", "slug": "clad-labs", "former_names": [ "Clad Labs AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d89c2eb858334a18c6c6eadb2a012e14e7400c4.png", "website": "https://useclad.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Clad turns Slack, Teams, and email into one organized support queue. Agents investigate and resolve hard tickets the way a dedicated hire would, and every resolved conversation becomes knowledge, written up automatically.", "one_liner": "AI support done right", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761263170, "tags": [ "Customer Success", "Customer Support" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clad-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clad-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/clad-labs/", "x_url": "https://x.com/cladlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d89c2eb858334a18c6c6eadb2a012e14e7400c4.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/31014/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPNM4H2ZD%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022732Z&X-Amz-Expires=60&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHEaCXVzLXdlc3QtMiJIMEYCIQC39P4yQgLmT71RDgpP7SzleQQnonC709CIthldibwFEQIhAIaTmz7itB2BSOcbLvHSEqR5atrCru8331p2nxswpFPlKuUDCDoQABoMMDA2MjAxODExMDcyIgyIHFNA%2BoAC3h6UfhkqwgMWrnQPAwVxcPSn8YGKQ67Z0i8w7sabSqzPmNg6qiVIbYfg3K4FwKrIr3%2BTMgYX%2F%2BeX%2Bpa1NffuFltcS%2FaD5i3P1PA7HKH7LJyFtww7k%2BA5KO%2BhkePkfgEpsky%2B%2BePphwBgc9LL2ObqwtvM0EqR2dvmGwK0pOjv9X9%2BotFVgCBEydgR1IOnYN56T1k%2BOXenbO9d9Elhw1Z78OO2wXYiR75z4yo1s5wz6zr4twai2ELFmfsMX3W7R4ZZZe%2FltqATVqoeN%2FywW0mOfO0EHxXkvuMbE2ccH5poFJFhBb8IND4h0Y0gH2T23H64cQtXSV4AJYWTQ9iYcaV%2Bwd8ByovUNO3fYdg187s5BLUfU6Jqn%2By5CtTj18WZzbB9V4IJIDVws7aW1cDLr1nbZLZ69tv7aAhMwPgsaLz1uFXCVWijHk29oa4VVNLMHAyfE6%2FTVNP0MjolUOhxV9p7md%2BhVVj5DiVMg%2FtlzSKh2keTbpP3xzzrXmlnSljux%2BPIztNqkDf3jvu4gdCKV3knadzxbWZoxCCNtJ2mZf3hqB7qsmn0%2Fj2keORPeqosWjC%2BM1Yvo7staxmYofRhKRaufjshsfrZz9fARksw5%2F3a1gY6pAGKRpigvHO1ZInNRWL4VQjhyvyyI4jWG5oD9NiiTxRQkTVPRsVYZrMtNGSYxvbfyty52pgjuw%2FBLRGM361snatBfs2Y4YLb7qqHcAHDCD1xDcZbIqioGiGF6I0iKm%2Bj4lDuUpeY4bb92wwFFie%2FgZRgfL%2FkayhSZmr4ZeWf%2FGCpxzwDak8O1KvjgDMiuzmVtIhavK0gyCxgFPfLUd0luRL5fYuYrg%3D%3D&X-Amz-SignedHeaders=host&X-Amz-Signature=be82f4f677f2066e395a536094524283c129541fc577204e9c0f068f44ab5d51", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2989191, "full_name": "Richard Wang", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Clad Labs. CS at Caltech. AI research at PerformanceStar where I designed physics-informed embedding models for high-dimensional time series. Building adtech in AI-native.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/richard-wang-39554994/", "x_url": "https://x.com/zzzbuggg", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a95e1f3b01d46970e6a4eaf36aba5348d579eb9e.jpg" }, { "user_id": 2989207, "full_name": "Kevin Le", "title": "Founder/CTO", "founder_bio": "Co-founder @ Clad Labs | Ex-Meta | UIUC Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lekevin2", "x_url": "https://x.com/xkevin_le", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2bbb7c13b04e30798d2fec788f2ef54f2398751.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94891, "title": "Chad IDE → the first brainrot IDE", "tagline": "Chad IDE integrates your brainrot vices (Tiktok, Stake, Tinder) with your agentic coding workflow", "body": "Sup Giga-Chads, we’re Richard and Kevin — Founders of Clad Labs\n\n**TLDR**; As highly requested we built the **CHAD IDE**. Chad integrates your brainrot vices with your agentic coding workflow. Chad increases productivity and reduces the friction of context switching.\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/f696e775-c4bd-4fd0-afea-2046031d176b)\n\n[**https://www.youtube.com/shorts/5JJU93cFqgs**](https://www.youtube.com/shorts/5JJU93cFqgs)\n\n**The problem:**\n\nAI coding creates a time span isn't long enough to do something new, and it's not short enough to be entirely negligible. Developers are spending time off the IDE to fill the inference time gap (usually brain-rotting on their phones)\n\n* **1-5 minute wasted downtime between prompts**\n* **People often forget to come back to their code**\n* **Context-switching builds mental fatigue → decreased efficiency**\n\n**CHAD:**\n\nChad aims to manage your AI coding inference time effectively by integrating the modern workflow into a single IDE. Specifically, you can now ⬇️\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/01f277eb-4914-40e1-85ec-5874461efd1e)\n\n* **shit-post on X**\n* **scroll Instagram/Tiktok**\n* **shoot Stake craps**\n* **swipe Tinder, etc.**\n\ndirectly from your coding agent orchestration workflow.\n\nChad ends your brainrot session when it's time to get back to work. No more losing track of time.\n\nLogin with existing Claude Code and integrate your brainrot workflow.\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/de016cec-c3a1-4feb-b363-69c412a15cb5)\n\nIn our early beta users, we've seen an average of 15 minutes saved per hour vibe coding when users switch over to Chad. (not a research study - a survey and anecdotal results from watching beta users code on their setup vs with Chad).\n\n![uploaded image](/media/?type=post&id=94891&key=user_uploads/2989207/dd5ccb5f-2302-4ad8-8932-559bea9aa42f)\n\n**Be a Giga-Chad with the CHAD IDE**\n\n**If anyone reading is a brainrot coder, feel free to give the IDE a try.**\n\n[**https://www.cladlabs.ai/**](https://www.cladlabs.ai/)\n\nthank you Void, Pear AI, and Continue Dev teams for the guidance. Chad takes heavy inspiration from them, please check them out if you’re interested in really great open source AI coding.\n\n(yt video idea credit: miso.dope on instagram)", "url": "https://www.ycombinator.com/launches/OgV-chad-ide-the-first-brainrot-ide", "votes": 178, "created_at": "2025-10-25T04:06:30.736Z" } ] }, { "id": 30958, "name": "Absurd", "slug": "absurd", "former_names": [ "Dune" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0753ba314978809fa3b7fa403a9b3a5c6982748c.png", "website": "https://absurd.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Absurd is an online whiteboard for filmmakers working with AI.\r\n\r\nWe use it for our own work: our Kalshi spot \"Election Day\" did 1M+ views, and our videos average 400K+ organic views.\r\n\r\nTry it at absurd.com", "one_liner": "The production canvas for AI film teams", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1760446134, "tags": [ "Generative AI", "Entertainment", "Video", "Media", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/absurd", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/absurd.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://linkedin.com/company/absurd", "x_url": "https://x.com/withabsurd", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0753ba314978809fa3b7fa403a9b3a5c6982748c.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": 795572, "full_name": "Philip Ho", "title": "Founder/CEO", "founder_bio": "Absurd", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philiptho/", "x_url": "https://x.com/dopadealer", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/75d619d1fcefd9441def7c1d44d330f875dbeb22.jpg" }, { "user_id": 2980105, "full_name": "Damian Chng", "title": "Founder", "founder_bio": "Absurd | prev. Meta", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/damian-chng", "x_url": "https://x.com/damian_chng", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64f7e305ef64bf77899f5a09421834b1665825eb.jpg" }, { "user_id": 2326296, "full_name": "Daniel Kathein", "title": "Founder/CTO", "founder_bio": "Absurd. Previously worked on agents at NVIDIA and studied CS at CMU", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-kathein/", "x_url": "https://x.com/danielkathein", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/df62a922e02512d094e84cdaae4bdef242b4e601.jpg" } ], "jobs": [], "news": [ { "title": "NFMLA Expands NewNarratives Grants and Adds Absurd Fellowship", "url": "https://www.hollywoodreporter.com/movies/movie-news/nfmla-new-narratives-grants-absurd-ai-tools-1236651356/", "date": "Jul 21, 2026" } ], "launches": [ { "id": 94646, "title": "Absurd — The production canvas for AI video", "tagline": "Our launch video got 600K+ views on X ", "body": "Since this launch, Absurd has become the production canvas for AI film teams. More at [absurd.com](https://absurd.com).\n\nㅤ\n\nHey everyone — we'll make your launch video!\n\nWe’re Philip, Damian, and Daniel, co-founders of Absurd.\n\n### **TL;DR**\n\nAbsurd turns your ideas into viral AI ads. \\\n\\\nHere’s an ad we made that blew up on X ([690K views](https://l.gourl.es/l/68f21298ba10b07930efb63b9484bfe66f06080e?notrack=1&u=12901289)). Another one ([470K views](https://l.gourl.es/l/7a5ee89d2fb57e15d431d5a5fe413c280db4db76?notrack=1&u=12901289)). Here’s a more artsy one ([150K views](https://l.gourl.es/l/3ddd171616572212dc8e8000d70af58f6c5dcc49?notrack=1&u=12901289)). Our [portfolio](https://absurd.com).\n\nWe built a multi-agent system that plans, generates, and edits campaigns in real time.\n\n[philip@absurd.com](https://mailto:philip@absurd.com)\n\n### **The Problem**\n\nMaking entertaining AI videos is hard.\n\nScripting. Breaking an idea into scenes, pacing it, and keeping a story coherent takes real creative skill. Most people underestimate how much of a craft that is.\n\nGeneration. There are dozens of AI video models out there, each good at something different — one nails motion, another nails faces, another gets the lighting right. Knowing which one to use, and how to deal with their quirks takes serious trial and error.\n\nBecause of these factors, most AI-generated ads look generic and perform poorly.\n\n---\n\n### **Our Solution**\n\nAutonomous AI agents handle the creative process — while we stay in the loop, stepping in to steer the output when needed. This all happens inside an interactive platform where you can step in anytime to review progress, give feedback, or steer the direction alongside our team.\n\n\n\n### **Asks**\n\n1. Follow us on [LinkedIn](https://www.linkedin.com/company/absurdco) and [X](https://x.com/dopadealer).\n2. If your team needs a studio-grade launch video with fast turnaround, we’d love to help.\n\n![uploaded image](/media/?type=post&id=94646&key=user_uploads/795572/fab19a66-c5f0-4a03-ac02-44517f88e858)\n\n", "url": "https://www.ycombinator.com/launches/OcY-absurd-the-production-canvas-for-ai-video", "votes": 147, "created_at": "2025-10-14T19:07:34.746Z" } ] }, { "id": 30959, "name": "Kalpa Labs", "slug": "kalpa-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1716cc43aa0fee3a4f60b9708b803805a0a152b1.png", "website": "https://kalpalabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We're building the next frontier of speech models. Generalist speech models that unlock in-context learning & strong instruction following for speech models alongside unifying existing speech capabilities like speech to text, text to speech, voice cloning, etc.", "one_liner": "Scaling Generalist Speech models", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759705278, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kalpa-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/kalpa-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kalpalabs/", "x_url": "https://x.com/KalpaLabsAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1716cc43aa0fee3a4f60b9708b803805a0a152b1.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": 1440495, "full_name": "Prashant Shishodia", "title": "Founder/CEO", "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously led full stack ML @ Google scaling to billions of queries / month. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/pshishodia", "x_url": "https://x.com/pshishodiaa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4625372263ed9fc57602c4835230e0490eaabca.jpg" }, { "user_id": 2039936, "full_name": "Gautam Jha", "title": "Founder/CTO", "founder_bio": "Pushing frontier of speech models @ KalpaLabs. Previously built nanoseconds latency software at HFTs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gautam-jha37/", "x_url": "https://x.com/gautam_jha_37", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91237d0933031f093d9700e86de7a68a4b6682b6.jpg" } ], "jobs": [ { "id": 100411, "title": "Founding ML Research Engineer", "url": "https://www.ycombinator.com/companies/kalpa-labs/jobs/aGLio5O-founding-ml-research-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$180K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Machine Learning" ] } ], "news": [ { "title": "Why the Next Leap in Speech AI Comes from Kalpa Labs", "url": "https://analyticsindiamag.com/ai-startups/why-the-next-leap-in-speech-ai-comes-from-kalpa-labs/", "date": "Sep 10, 2025" } ], "launches": [ { "id": 95422, "title": "Kalpa Labs: Scaling Generalist Speech Models", "tagline": "Scaling Foundational speech models for In-context Learning & Instruction Following", "body": "# TL;DR\n\nWe’re building a **generalist speech model** - one system that does speech-to-text, text-to-speech, speech-in/speech-out reasoning, and cross-modal tasks with **LLM-level steerability and context** **engineering**. See the demo of [emergent capabilities](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC).\n\n![Video](https://youtu.be/b0gAEsp3YdM)\n\n# Problem\n\nToday’s speech stack is fragmented. You need different models, and vendors for STT, TTS, voice design, conversational agents, dubbing, even music. That **“Curse of Specialization”** creates brittle workflows, poor context carryover, and zero “system-prompt” steerability. Meanwhile, LLMs proved that one generalist model + in-context learning [unlocks entirely new use cases](https://arxiv.org/abs/2005.14165).\n\n**What’s missing in current speech models**\n\n1. **Contextual awareness:** They ignore emotional/prosodic cues and can’t adapt delivery to spoken context history. Their response is the same whether the user says the sentence while crying, laughing, or in a banal tone.\n2. **Instruction following:** There’s no real analogue to LLM system prompts like _“Speak slower for older callers” “Pronounce ‘WORA’ like ‘wah-rah’” “Use a neutral US accent unless user is in India”_.\n3. **Generalism:** Separate models for STT/TTS/music/voice cloning make cross-specialization tasks impossible. Example: _“sing a song in my voice with the following lyrics and the tone from this audio clip”_.\n\nWe’re disciples of [Sutton’s Bitter Lesson](https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf): performance eventually comes from scaling compute, data, and simple, general methods. We believe speech is where text was in 2019 - constrained by small models, fixed task boundaries, and narrow post-training. The upside is to do for speech what GPT-3/ChatGPT did for text: **one model, in-context learning, and steerability**.\n\nAudio tokenization (RVQ) and decoding stacks are ripe for redesign - big efficiency wins are still on the table.\n\n# What’s hard & what we changed\n\nAudio is token-hungry. With typical RVQ, 1s of audio ≈ 100–400 tokens. Flattened token streams like [Orpheus](https://huggingface.co/canopylabs/orpheus-3b-0.1-ft) cap useful context that consumes 8K tokens to generate 90s of audio. Approaches like [CSM-1B](https://huggingface.co/sesame/csm-1b) help with context but still decode 32+ audio tokens per step, throttling inference.\n\nWe’ve removed the long-audio bottleneck, making audio roughly as cheap to train on as text while preserving long-range context. Practically, that means, you’ll be able to generate hours of audio in one-shot and use speech models with very long interleaved text and audio system prompts.\n\n# Our Progress\n\nWe’ve pretrained speech models from 800M to 4.8B params on 2M hours of mixed-domain audio. \\\n\\\n**Cost Efficiency**: As a result of our efficient architecture, our 800M parameter model took less than $1000 to train. For a comparison, Kokoro-82M while being 10x smaller took $1000 to train on 1000x lesser data.\n\n# Emergent Behavior\n\nOur larger base models already show visible signs of emergent behaviour. We describe here, some of these behaviours - but the extent of such emergent capabilities is still under investigation.\n\nPlease checkout the audios and comparision with ElevenLabs V3 [on notion.](https://www.notion.so/2a83ca000c7780a7be71ed49447a882d?source=YC)\n\n**Disfluency & repetition handling**\\\nText: _“This is a a sentence we want our speech model to, to speak.”_\n\n**Contextual identity/accents**\\\n“I am a software engineer living in _Bangalore_.” → natural Indian English\\\n“I just moved to _Shanghai_ for a new role.” → adapts toward Chinese-English prosody\n\n\\\n**Note:** that there is no hardcoded voice switch; this emerges from context.\n\n**Prosodic context awareness without explicit tags**\\\n“I said we could _try only once_.”\\\n“I said we could _ONLY_ try once.”\\\n“_I_ said we could _ONLY_ try _ONCE_?”\n\n\\\nStress and intonation match intent without explicit tags like _<laugh>, <gasp>, <surprised>_\n\n**Voice diversity**\n\nThese base models can mimic a wide range of speakers/accents beyond a fixed dropdown of voices.\n\n**What we’re building**\n\nA single speech generalist you can steer like an LLM:\n\n* Speech-in / speech-out with system prompts and audio examples “adopt this tone; pronounce these domain terms like this”\n* Generalist Model: STT, TTS, conversational agents, dubbing, and cross-specialization (e.g., “sing this verse in my voice,” “explain this chart out loud in a calm tone”).\n\nWe’re solving this by\n\n1. **Scale**: keep pushing model size, data diversity, and post-training task complexity.\n2. **Align**: instruction-following for speech - system prompts + audio-in-context.\n3. **Distill**: real-time deployment targets with graceful latency/quality trade-offs.\n\n# Our Asks\n\n* Have a speech use case that current models fail at? Tell us, we’ll try our best to solve your edge cases.\n* Running speech in production? and have strong opinions on what current speech models do right or wrong. We would love your opinions. Coffee’s on us.\n* Compute partners: If you can offer clusters ≥128×B200, we’re eager to collaborate.\n* Early pilots: If you want to try out this models in early access and help us navigate the future of speech models - we’d love to chat.\n\nYou can reach out to us on \\\nEmail: [founders@kalpalabs.ai](mailto:founders@kalpalabs.ai)\\\nX : [Prashant](https://x.com/pshishodiaa) | [Gautam](https://x.com/JhaGauti) | [KalpaLabs](https://x.com/KalpaLabsAI)\\\nLinkedin: [Prashant](https://www.linkedin.com/in/pshishodia/) | [Gautam](https://www.linkedin.com/in/gautam-jha37/) | [KalpaLabs](https://www.linkedin.com/company/kalpalabs/)\n\n---\n\n# About us\n\n* **Prashant** led full-stack ML for Google Assistant; trained/evaluated models and scaled smaller Gemini variants to billions of queries/month.\n* **Gautam** built nanosecond-latency infrastructure for high-frequency trading.", "url": "https://www.ycombinator.com/launches/Op4-kalpa-labs-scaling-generalist-speech-models", "votes": 68, "created_at": "2025-11-11T20:09:18.793Z" } ] }, { "id": 30960, "name": "Metorial", "slug": "metorial", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d6cf9656ff81c358bc8acc1f8b0221e2f963a06.png", "website": "https://metorial.com", "all_locations": "Vienna, Vienna, Austria; Remote", "long_description": "Metorial gives every employee, agent, and AI client in your company one place to connect tools and skills. Governance, access control, and tracing included.", "one_liner": "Agentic infrastructure to power AI-native companies.", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1759440132, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Austria", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Tobias and Wen have been friends for over 10 years. They met in a top technical high school in Austria where they worked on many projects together. Later, they co-lead the technical development at Valicit, a ticketing startup based in Abu Dhabi." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "When MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously.\r\n\r\nBut when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security and scaling turned out to be a massive time sink.\r\n\r\nThatʼs when it clicked: developers like us need a turn-key solution to plug MCP into their agents.\r\n\r\nSo we pivoted from hacking infra together to building Metorial: the Vercel for MCP." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Integrations transform LLMs from simple chatbots into agents that can perform real tasks.\r\n\r\nRecently, MCP has become the standard for connecting AI agents to external tools.\r\n\r\nMCP works great locally, but production deployments are painful.\r\n\r\nRunning MCP servers in production means managing Docker configs, handling OAuth flows, and debugging issues without proper observability.\r\n\r\nDevelopers want to ship agents now, not build infrastructure for months." } ], "url": "https://www.ycombinator.com/companies/metorial", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/metorial.json", "year_founded": 2025, "city": "Vienna", "country": "AT", "linkedin_url": "https://www.linkedin.com/company/metorial/", "x_url": "https://x.com/MetorialAi", "fb_url": null, "cb_url": "https://crunchbase.com/organization/metorial", "github_url": "https://github.com/metorial", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7d6cf9656ff81c358bc8acc1f8b0221e2f963a06.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": 851191, "full_name": "Karim (Wen) Rahme", "title": "Founder/CEO", "founder_bio": "Founder & CEO @ Metorial", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karim-rahme", "x_url": "https://x.com/wen_rahme", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4648c7675ee6ff71c89f142a0b8fed51bec3068.jpg" }, { "user_id": 2756424, "full_name": "Tobias Herber", "title": "Founder/CTO", "founder_bio": "Building Metorial, the integration layer for agentic AI. 3x founder. IEEE best paper author. Background in AI, distributed systems, and system software. I strive to build products that make difficult problems simple.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tobias-herber/", "x_url": "https://x.com/tobiasherber_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50372e7b1f97c09a8534fd3bf7417ec70be6de8e.jpg" } ], "jobs": [ { "id": 86643, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/metorial/jobs/WPkk7Yk-founding-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100K - $180K", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Go", "Rust", "TypeScript", "Distributed Systems" ] }, { "id": 86644, "title": "Backend Engineer", "url": "https://www.ycombinator.com/companies/metorial/jobs/7617xcj-backend-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$100 - $165", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Git", "Go", "JavaScript", "SQL", "Microservices", "Serverless" ] }, { "id": 86645, "title": "Infrastructure/DevOps Engineer", "url": "https://www.ycombinator.com/companies/metorial/jobs/FdUgKuI-infrastructure-devops-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$100 - $170", "equity_range": "1.00% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Git", "Go" ] } ], "news": [ { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 95390, "title": "Magic MCP by Metorial - 600+ integrations for vibe coding, zero config required", "tagline": "Connect any vibe coding tool or MCP client to 600+ integrations; zero configuration required.", "body": "_Hey everyone! We’re Wen and Tobias and we build Metorial -- the enterprise-grade infra layer for MCP._\n\n### **TL;DR**\n\nMagic MCP let’s you connect any MCP client, like Cursor, Claude Code, or Claude Desktop, to more than 600 integrations ranging from Sentry or Linear all the way to Salesforce or QuickBooks.\n\n![uploaded image](/media/?type=post&id=95390&key=user_uploads/2756424/e30d0da9-7fc1-41dc-8673-6f49d6887c22)\n\n# **The Problem**\n\nMetorial provides infra for deploying, connecting to, and securing MCP servers for developers and enterprises. We are working with startups, unicorns, and fortune 500 companies to let them use MCP reliably and effectively. Metorial let’s them get AI agents into production in hours, not weeks.\n\nYet, many of our customers still struggle with the basics, like integrating MCP servers into Cursor and Claude Code. Today, we’re solving that.\n\n# **The Solution**\n\nMagic MCP let’s you connect vibe coding tools to 600+ integrations (you can even create your own MCP servers and deploy them to Metorial) -- zero configuration required.\n\nMagic MCP uses the same infra that already powers thousands of MCP server deployments. You get enterprise-grade security, scaling, and reliability, sub-second boot up times, and full observability.\n\n# **A Bit More About Metorial**\n\nWe handle all of the complicated parts of MCP so our customers get to enjoy the good parts. Enterprises love us because we solve security, scalability, and access control for MCP. Developers and startups love us because they can deploy MCP servers on our platform in just 3 clicks -- we even handle OAuth. Our SDKs let them connect their agents to MCP servers on Metorial in a single function call. Our serverless runtime is the only one that solves security for multi-tenancy, supports sub-second cold start, and does stateful hibernation for long-running connections.\n\n### **The Ask**\n\n**Struggling with MCP or building agents that need integrations?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial or Magic MCP and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)", "url": "https://www.ycombinator.com/launches/OoY-magic-mcp-by-metorial-600-integrations-for-vibe-coding-zero-config-required", "votes": 11, "created_at": "2025-11-12T15:44:18.214Z" }, { "id": 94458, "title": "Metorial: Vercel for MCP", "tagline": "We help devs connect their AI agents to external tools and data via MCP.", "body": "# **TL;DR**\n\nMetorial gets AI agents into production in hours, not weeks. 600+ MCP servers, ready to deploy in just three clicks.\n\nWe're the **only** serverless MCP platform that can handle hibernation with sub-second cold starts as well as OAuth, enterprise-grade security, and per-user isolation.\n\nStarred by more than 3000 GitHub devs. Used by engineers at FAANG, the Big 4, and American Express. Currently piloting with leading startups and Fortune 500s.\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/b6d82eac-49d7-47f6-b4ab-5248ad638c76)\n\n### The Problem\n\nThe AI space is evolving rapidly; companies can’t afford to wast time building integrations. MCP has become the standard for connecting LLMs to external tools, but deploying MCP in production is painful. Running MCP servers yourself means managing Docker configs, handling OAuth flows, and debugging without observability. Writing serious integrations manually wastes weeks in digging through API documentation. **Developers want to ship agents now, not build infrastructure for months.**\n\n### Our Solution\n\nDeploy any of our 600+ MCP servers in just three clicks -- we even handle OAuth. Our SDKs let you connect your agents to the hosted MCP servers in a single function call. Our serverless runtime solves scaling and security issues for multi-tenant deployments by providing sub-second cold starts with per-user isolation.\n\nBuilding a complex agent with Metorial looks as simple as this:\n\n![uploaded image](/media/?type=post&id=94458&key=user_uploads/851191/33d8cc5b-5536-498a-ab88-987be2de7ebd)\n\n### Demo\n\n[https://youtu.be/\\_hAvxzTCLyQ](https://www.youtube.com/watch?v=_hAvxzTCLyQ)\n\n### Our Story\n\nWhen MCP was released, we quickly understood its value in offering a natural language interface for LLMs to execute external tools autonomously. But when we tried to take MCP beyond client-side apps like Cursor, setting up the infra for security, scaling, and per-user isolation turned out to be a massive time sink. That’s when it clicked: developers like us need a turn-key solution to plug integrations into their agents. So we pivoted from hacking infra together to building Metorial.\n\n### The Ask\n\n**Building AI agents or using MCP?**\n\nTry [**metorial.com**](http://metorial.com). We can help you integrate Metorial and add any MCP servers you need.\n\nBook a call: [**cal.com/karim-rahme/launch-yc**](https://cal.com/karim-rahme/launch-yc)\n\nEmail us: [**founders@metorial.com**](mailto:founders@metorial.com)", "url": "https://www.ycombinator.com/launches/OZW-metorial-vercel-for-mcp", "votes": 22, "created_at": "2025-10-07T23:51:41.191Z" } ] }, { "id": 30962, "name": "Denki", "slug": "denki", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1543e40091902a20ba3f9f49ea46c17e0b60e86a.png", "website": "https://denki.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Automate internal auditing (planning, testing, documenting) to comply better with financial regulations.\r\n\r\nDenki performs audit work with 99% software, 1% services:\r\n\r\n✔️ Works on existing systems (e.g. Auditboard, Workiva, ERPs)\r\n✔️ Automates Control processes (e.g. collects evidence, runs walkthrough interviews, tests)\r\n✔️ Records every step for traceability (workpapers w/ full audit trace)\r\n\r\nFocused on SOX programs and financial regulations (SEC Rules etc.)", "one_liner": "The full-stack AI financial audit firm", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1759884466, "tags": [ "FinOps", "Compliance", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/denki", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/denki.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108924481", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1543e40091902a20ba3f9f49ea46c17e0b60e86a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 788116, "full_name": "Felipe Jin Li", "title": "Founder/CEO", "founder_bio": "Applying Explainable AI to SOX.\n\nPrev. McKinsey + studied Explainable AI during PhD @UCL + led design/mobile engineering @GE-backed start-up", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felipe-jin-li-a42380132/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d0b629e62364f5d533f1350b45794dd55634c08.jpg" }, { "user_id": 2559158, "full_name": "David Jin Li", "title": "Founder/CTO", "founder_bio": "Building AI for internal auditors at fintechs.\n\nPrev. CS @Imperial + financial research engineer @MacroHive (acq. BGC) + top 13 competitive programmer in the UK Informatics Olympiad", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-jin-li/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cff7e59aed674002d877ef9099607272c750db55.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94518, "title": "✔️ Denki — AI for Auditors at Public Companies", "tagline": "Automate repetitive audit workflows to comply better with financial regulations.", "body": "### Strengthen your Internal Audit programs (from SOX to BSA/AML)\n\n**Denki Assurance Platform:**\n\n✔️ Works on existing systems (e.g. Auditboard, Workiva, ERPs)\n\n✔️ Automates Control processes (e.g. maps to COSO, runs walkthrough interviews, tests)\n\n✔️ Produces working papers (w/ full audit traces)\n\nRequest demo here: https://denki.ai/demo\n\n🙏 **Our ask:**\n\nIf you **know any internal auditor** or **CFO**\n\n➡️ Send an intro to [founders@denki.ai](https://mailto:founders@denki.ai) –– thank you!\n\n**The Problem**\n\nAudit is a massive cost centre ($290B+ annual spend), mandated by regulation (SOX, BSA/AML), facing talent shortages (75% of CPA will retire in the next decade) and a source of significant operational friction.\n\nIt runs the trust system of our economy, yet it’s truly outdated: sampling-based, point-in-time, manual.\\\n\\\n**The Solution**\\\n\\\n[Demo](https://youtu.be/-vFX_Cfcyxo)\n\n**The Team**\n\n**Felipe** worked at McKinsey and researched on Explainable AI during his PhD studies at UCL. He led product + mobile engineering at a GE-funded start-up.\n\n**David** built pipelines for unstructured financial data at MacroHive (research firm trusted by all top 5 hedge funds). He is a top 13 competitive programmer in the UK Informatics Olympiad, and studied Computing at Imperial.\n\n➡️ Request demo here: https://denki.ai/demo\n\n📩 **Questions?** Email us at: [founders@denki.ai](https://mailto:founders@denki.ai)\n\n🙏 **Our ask:** Make an intro for us with **an internal auditor** or **CFO** – thank you!", "url": "https://www.ycombinator.com/launches/OaU-denki-ai-for-auditors-at-public-companies", "votes": 67, "created_at": "2025-10-09T15:10:05.364Z" } ] }, { "id": 30964, "name": "Sava", "slug": "savahq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/adc8f9d4d6337ea663afc0947984b8597189cd0a.png", "website": "https://www.savahq.com", "all_locations": "New York City, NY, USA", "long_description": "If you are a trusts & estates attorney, RIA, fintech, or family office interested in Sava, reach us at founders@savahq.com", "one_liner": "Building the future of trusts", "team_size": 7, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1762196127, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/savahq", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/savahq.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/savatrust/", "x_url": "https://x.com/savatrust", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/adc8f9d4d6337ea663afc0947984b8597189cd0a.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": 29272, "full_name": "Nimit Maru", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Sava (YC F25) - The Agentic Trust Company\nCo-founder & CEO at Fullstack Academy (YC S12, Acquired).\nCo-founder at Bloomspot ($46M raised, Acquired by JPM/Chase)\nCo-Founder Yahoo! MapMixer\nSr. Software Engineer Yahoo Maps/Travel\n\nEnjoy racket sports, guitar, history and Illinois college sports.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nimit/", "x_url": "http://x.com/nimit", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dc13e17b61c37566f3aef18f8d57e22dd211841d.jpg" }, { "user_id": 167048, "full_name": "Rush Sadiwala", "title": "Founder/COO", "founder_bio": "Co-Founder & COO @ Sava\n\nPreviously Founder @ Framework.so (online creator platform backed by Kevin Rose). Scaled platform to over 3 million end users and generated over $10M in sales for customers such as Ryan Holiday and Columbia University. \n\nBuilt Zolt, a news summarizer app featured by the App Store, nominated for a Webby and featured in TechCrunch: https://techcrunch.com/2016/05/26/zolt-news-in-60-words/\n\nI spent the first five years of my career on the buy side in investment management.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rushabh-sadiwala/", "x_url": "https://x.com/updating_priors", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b08ef95fe7188704f81188631c2f89ce030d0ff5.jpg" } ], "jobs": [ { "id": 88517, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/savahq/jobs/74xutqF-founding-engineer", "location": "New York City, NY", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "PostgreSQL", "React", "TypeScript", "Next.js" ] }, { "id": 116207, "title": "Founding Product Manager", "url": "https://www.ycombinator.com/companies/savahq/jobs/mFu7om9-founding-product-manager", "location": "New York, NY, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95136, "title": "Sava", "tagline": "Building the future of trusts", "body": "If you are a trusts & estates attorney, RIA, fintech, or family office interested in Sava, reach us at [founders@savahq.com](mailto:founders@savahq.com)", "url": "https://www.ycombinator.com/launches/OkS-sava", "votes": 146, "created_at": "2025-11-03T20:10:34.020Z" } ] }, { "id": 30965, "name": "Icarus", "slug": "icarus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/641db1cdc907f274cb944fd6796edc486aa6d653.png", "website": "https://www.icarus.one/", "all_locations": "Los Angeles, CA, USA", "long_description": "Icarus is building the modern-day U-2 spy plane. Our autonomous solar aircraft fly at 60,000 feet for weeks at a time, eventually months and years, above weather and below satellites. They deliver persistent intelligence and connectivity for the military at a fraction of the cost of existing systems. The stratosphere is the forgotten frontier.", "one_liner": "Stratospheric birds for defense", "team_size": 50, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1759599519, "tags": [ "Hardware", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/icarus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/icarus.json", "year_founded": 2023, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/icarusindustries", "x_url": "https://x.com/henicarus", "fb_url": "https://youtu.be/srWVWG19OXY", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/641db1cdc907f274cb944fd6796edc486aa6d653.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/45b66df3250ad001f948f6fadbc64ac7b238e4ff.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce10c519656481bb9706dbff7696efcfd518d51e.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 816302, "full_name": "Henry K.", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Icarus. At Orbital, Henry built satellites and helped win a $935M NASA contract to build a space habitat. He saw firsthand how Space is constrained by orbital mechanics. Additionally, he has designed and flown drones for NASA flight sciences, was a finalist in two NASA aerospace design competitions, and previously advised Fortune 500 clients on strategy at Deloitte. He holds an M.S. in Aerospace Engineering from Georgia Tech and a Top Secret SCI clearance.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kwan-henry", "x_url": "https://x.com/henicarus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/257390481b4aa625bb9681ca4060c4aa11f46da2.jpg" } ], "jobs": [ { "id": 89446, "title": "Senior Electrical Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/mkkPiGN-senior-electrical-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89447, "title": "Senior Embedded Software Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/rB9hg8j-senior-embedded-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89448, "title": "Senior Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/UEIwBrH-senior-forward-deployed-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89449, "title": "Senior Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/Brx6SmM-senior-full-stack-software-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89450, "title": "Senior GNC Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/SaTMErI-senior-gnc-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89451, "title": "Senior Manufacturing Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/mmJ5itp-senior-manufacturing-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89452, "title": "Senior Mechanical Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/NPSWtPv-senior-mechanical-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89453, "title": "Senior RF Engineer", "url": "https://www.ycombinator.com/companies/icarus/jobs/eDMowlW-senior-rf-engineer", "location": "Los Angeles, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $220K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 30966, "name": "Karumi", "slug": "karumi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc73de6be4a68b9b42a71616ee477afce055a351.png", "website": "https://www.karumi.ai/", "all_locations": "", "long_description": "Karumi is an AI agent that joins a live video call with your prospects to deliver personalized product demos, 24/7, in any language.\r\n\r\nIt bridges the gap between your landing page and your sales team by engaging visitors at the peak of their interest, turning curiosity into conversion. For those not ready to talk to sales but eager to explore, Karumi offers the next generation of interactive, self-guided demos.", "one_liner": "The Waymo of Personalized demos", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1761723346, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "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/karumi", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/karumi.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/karumi-ai/", "x_url": "https://x.com/karumihq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cc73de6be4a68b9b42a71616ee477afce055a351.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/718b81629e18c5e9afccbb1c38407c75545a6726.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1785568, "full_name": "Pablo Omenaca", "title": "Founder/CEO", "founder_bio": "Previous founder engineer & COO at StackAI (YC W23), I am now building Karumi, an AI agent to help GTM teams understand software products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pablo-omenaca-muro/", "x_url": "https://x.com/houmland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33bfad3b12f69e44f11ea3fb7e2e90e8300c3a18.jpg" }, { "user_id": 980396, "full_name": "Toni Lopez", "title": "Founder/CTO", "founder_bio": "Building Karumi, prev Stack AI (YC W23), IBM Research\nThree times founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/tonilopezmr", "x_url": "https://x.com/tonilopezmr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/96812f5de50554728f4d7aa97d02abecb44d0d22.jpg" } ], "jobs": [ { "id": 86441, "title": " Product Engineer (Full-Stack)", "url": "https://www.ycombinator.com/companies/karumi/jobs/ISjUPEb-product-engineer-full-stack", "location": "New York, NY, US / Madrid, MD, ES / Madrid, Community of Madrid, ES", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$70 - $150", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "React" ] }, { "id": 86442, "title": "AI/ML Harness Engineer", "url": "https://www.ycombinator.com/companies/karumi/jobs/Ht5Bs00-ai-ml-harness-engineer", "location": "New York, NY, US / Madrid, MD, ES / Madrid, Community of Madrid, ES", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80 - $170", "equity_range": "", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python" ] }, { "id": 92090, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/karumi/jobs/mzQuJ9K-forward-deployed-engineer-fde", "location": "New York, NY, US / San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 96440, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/karumi/jobs/DGBA3tj-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96441, "title": "Growth", "url": "https://www.ycombinator.com/companies/karumi/jobs/GzM0fwO-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96734, "title": "Customer Success", "url": "https://www.ycombinator.com/companies/karumi/jobs/GVmMw8S-customer-success", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96735, "title": "Marketing", "url": "https://www.ycombinator.com/companies/karumi/jobs/y543CfF-marketing", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$90K - $125K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95374, "title": "Karumi - Your AI demo agent. 24/7.", "tagline": "Finally, scalable product demos that feel human. Personalized to every customer.", "body": "**TL;DR: Skip the reading! Karumi delivers personalized product demos, and it’s faster if our agent just shows you! _→ [Demo now](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303)_**\n\n\\\nHi all! We are [Toni](https://www.linkedin.com/in/tonilopezmr/) and [Pablo](https://www.linkedin.com/in/pablo-omenaca-muro/), and we are proud to launch [Karumi](https://www.karumi.ai/).\n\n**Most companies still demo like it’s 1995**. Be honest: when was the last time you found someone available _right now_ to give you a live demo?\n\nUsers don’t want to wait; they want to see how your product makes their lives easier.\n\nThat’s why we built Karumi, **an AI agent that delivers personalized demos, 24/7**, and **in any language**.\\\n\\\n\n\n**Forget pre-recorded videos.** Karumi gives your users a **real demo experience** - a live, interactive video call with an AI agent that:\n\n* **Matches human reps** in clarity and engagement.\n* Is always **available**, regardless of timezone.\n* Has access to a **browser** (it opens tabs, navigates your product, etc.)\n* Is **hyper‑personalized**, pulling in every piece of contextual data (prospect profile, product knowledge) to tailor the conversation.\n* **Auto‑trains** on your product and business changes, staying up‑to‑date without manual input.\n\nYou can also see it in live in Deel’s platform here:\n\n[**https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**](https://www.loom.com/share/e7f7e00f2284478e8335f8f4d4dac6bd**)\n\n\\\n**Why did we build Karumi?**\n\n**As SaaS companies scale, inbound leads grow quickly**. Demo requests pour in, and human reps can only handle so many before leads start slipping through the cracks. The result:\n\n❌ High-intent leads **wait days** for a personalized demo.\n\n❌ Smaller accounts go **unserved**.\n\n❌ Reps spend time chasing the **wrong fits** instead of closing deals.\n\n❌ Quantity of demos takes priority, **leaving quality and personalization behind**.\n\nTraditional sales motions don’t scale linearly with demand. Every new lead either adds friction or requires more headcount, creating bottlenecks and lost opportunities.\n\n**Why does it matter?**\n\n![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/027980a0-b3ea-4ae9-8e5d-5207ca80f1a9)\n\n**Every minute of delay between interest and engagement means lost revenue**, especially in today’s crowded software landscape. Karumi closes that gap, giving every lead personalized attention at the moment of highest intent, including those who are currently underserved.\n\nOur customers use Karumi to:\\\n\\\n✅ **Improve conversion rates** from landing page visits to meeting**s**.\n\n✅ **Serve** segments that previously went **unserved**.\n\n✅ **Shorten sales cycles** by combining discovery, qualification & demonstration steps.\n\n✅ **Capture inbound demand** during product launches or marketing surges.\n\n**Our ask**\n\nTry Karumi today on our platform! **Here the link to try our demo now! (_Open it on your laptop!_)** →\n\n[**https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**](https://www.karumi.ai/meet/start/d461afa6-f0d8-4bbe-83ac-ee88a7dbc303**)\n\nWant to talk with us?\n\n* Email us at [**founders@karumi.ai**](mailto:founders@karumi.ai)\n* Book a meeting through this [link](https://cal.com/team/karumi/launch)\n* Visit our [Website](https://www.karumi.ai)\n\n**More about the team:**\n\nWe faced this problem firsthand at our previous company, StackAI (YC W23). Our GTM team struggled to keep up with product changes and deliver consistent demos at scale. They were constantly pulled into demos with customers, so we built an AI agent to do it for them:\n\n* **Toni Lopez (CTO)** - founding engineer at StackAI (YC W23), software developer at IBM Research, serial entrepreneur\n* **Pablo Omenaca (CEO)** - COO & founding engineer at StackAI (YC W23), MIT grad, BCG Gamma\n\n ![uploaded image](/media/?type=post&id=95374&key=user_uploads/1785568/e393d31d-d1cd-4e67-ae13-18c20aa30a1f)\n\n", "url": "https://www.ycombinator.com/launches/OoI-karumi-your-ai-demo-agent-24-7", "votes": 761, "created_at": "2025-11-10T20:40:24.571Z" } ] }, { "id": 30967, "name": "Perseus", "slug": "perseus", "former_names": [ "Starling", "Mantle" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9765cfac6d122dea71443fd13f227ed6e9c5257b.png", "website": "https://perseus.computer", "all_locations": "Bengaluru, KA, India", "long_description": "Perseus takes an iterative branching approach to search in high dimensional spaces.\r\n\r\nOur first product helps coding agents find the right codebase context before they write. It searches files, symbols, and dependencies in parallel, so models can make better changes with less trial and error. Perseus Search gives Mythos-level programming ability to Opus-level coding agents.", "one_liner": "Applied Lab focused on Search in Latent Spaces.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761343890, "tags": [ "Genetic Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "India", "South Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/perseus", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/perseus.json", "year_founded": 2025, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/perseus-computer", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9765cfac6d122dea71443fd13f227ed6e9c5257b.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": 2522177, "full_name": "Samrath Chadha", "title": "Founder", "founder_bio": "Founder @ Perseus", "is_active": true, "linkedin_url": "https://linkedin.com/in/samrathchadha", "x_url": "https://x.com/samrathchadha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aee8bc60ac777945ba030f0ece1133a3cb3b5af3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94906, "title": "Mantle - Automate your back office", "tagline": "Build internal agents to automate back office work with one prompt", "body": "Hey! We’re building Mantle - a clear-cut way to do your repetitive work on autopilot.\n\n**TL;DR**: We think you’re wasting human potential on boring shit. [Book a call here.](http://cal.com/team/mantle/customer-meeting)\n\nWe do this by:\n\n1. **connecting to your tools:** pulling information securely, and building a constantly updating context layer for agents to operate on\n2. **creating and managing your agents:** enter in one prompt, and our system will make the perfect agent to do your work. no fixed workflows, we focus on the goal and allow agents to move dynamically like a human would\n3. **handling updates, schedules and everything else:** whether a new lead pops up in your CRM, a new support ticket rolls into your email, or it’s Friday and you need a report on which leads are the most likely to churn - Mantle handles it all and runs the agents in the background\n\nHere’s Mantle doing a few cool things:\n\n1\\. Searches Stripe for invoices, PostHog for product usage data, and HubSpot for the customer profile - it then uses its context to **generate a report with action items for your customers and sends them to you in Slack.** We recommend putting this on a daily schedule!\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/5cbfd593-9504-4a94-9400-d5cf9c6591d1)\n\n2\\. **Triggers automatically when you get an inbound meeting -** goes through your past calls with the person (if any), searches the web and your Notion for information about them - and writes the information directly into your calendar app (it edits the invite only for you)!\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/4809c2a8-1d5f-4018-8980-4748c5af23e3)\n\n3\\. When you get an email - if valid (not spam/promotion), **we auto-draft a reply to it and store it in your email client.** This draft matches your exact tone and has insights from your past emails, Notion, and whatever else you give it access to. It uses the context layer to learn and search about the person through these tools extremely efficiently, quickly finding all relevant data.\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/2522177/384c4258-c5ff-4101-b3c1-de2a4bcb9f56)\n\nWe’ll boost your team’s efficiency 10x in a week. [Book a call here to make that happen.](http://cal.com/team/mantle/customer-meeting)\n\n![uploaded image](/media/?type=post&id=94906&key=user_uploads/89898/24d9fe9b-6bc5-4300-8fc1-63a8e5c24951)\n\n", "url": "https://www.ycombinator.com/launches/Ogk-mantle-automate-your-back-office", "votes": 82, "created_at": "2025-10-26T02:40:30.611Z" } ] }, { "id": 30969, "name": "Lemma", "slug": "uselemma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/335dca5772b36d447d2e1c9b0f730539813d1846.png", "website": "https://www.uselemma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lemma is production monitoring for AI agents. We catch the silent failures your observability tools and evals miss (think bad tool calls, lost context, and infinite loops) before your users find them.", "one_liner": "Production Monitoring for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761703288, "tags": [ "Developer Tools", "Analytics", "Infrastructure", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/uselemma", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uselemma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uselemma", "x_url": "https://x.com/uselemma_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/335dca5772b36d447d2e1c9b0f730539813d1846.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": 1798805, "full_name": "Jerry Zhang", "title": "Founder/CEO", "founder_bio": "Co-founder @ Lemma (YC F25) | Reliability platform for AI agents", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jerry-n-zhang/", "x_url": "https://x.com/zjearbear", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ea73d82ad13ecb85985095e699c5a6b06cff636.jpg" }, { "user_id": 1374781, "full_name": "Cole Gawin", "title": "Founder/CTO", "founder_bio": "developing the next generation of intelligent systems @ lemma (f25) | ex-USC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colegawin", "x_url": "https://x.com/colegawin_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/deca21906919edc6e42060d0665ec4c3ae3d597a.jpg" } ], "jobs": [ { "id": 104341, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/uselemma/jobs/wrFU6bU-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113900, "title": "AI/ML Engineer", "url": "https://www.ycombinator.com/companies/uselemma/jobs/vyHNWKs-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95219, "title": "Lemma: Continuous Learning for AI Agents", "tagline": "We enable AI agents to continuously improve by turning real user feedback into automated prompt optimizations. ", "body": "**TL;DR:**\n\nLemma is the first evaluation + observability platform built not just to measure performance, but to improve it automatically. We help AI agents learn from real user feedback and production data, closing the loop so your prompts and agents continuously optimize themselves over time.\n\n**Launch Video:** https://www.youtube.com/watch?v=E4_v-pY_4fs\n\nHey everyone! We’re [Jerry](https://www.linkedin.com/in/jerry-n-zhang/) and [Cole](https://www.linkedin.com/in/colegawin/), co-founders of [Lemma](https://www.uselemma.ai/) (YC F25).\n\n**The Problem:**\n\n**AI agents don’t learn from their mistakes. In fact, they get worse with use.**\n\nIn production, prompts and agents continuously degrade due to real-world input drift (new user behaviors or unseen edge cases). Agent performance can often **drop \\~40% in a few weeks**, and suddenly what worked in testing breaks in front of customers.\n\nWhen that happens, engineers are forced to dig through logs, collect failing examples, and manually tweak prompts rather than building core product features.\n\n**Solution:**\n\nThat’s why we built **Lemma: the first end-to-end system that closes the loop between agent deployment and improvement.**\n\n**Here's what that means:**\n\n**Step 1:** Lemma detects failed outcomes directly from live traffic, and it automatically identifies the exact cause in an agent chain.\n\n**Step 2:** Lemma alerts you, and with one click, it runs targeted prompt optimizations to fix the failing behavior without any manual tracing or guesswork.\n\n**Step 3:** We give you back an improved prompt and automatically open a PR in your codebase so your prompts can live where you want them. Alternatively, you can also fetch your prompt from the Lemma dashboard.\n\n**Plus, Lemma provides all the LLM eval and observability features you rely on, just reimagined for continuous learning:**\n\n* Data-ingestion pipeline to bring your existing eval sets and automatically flag inconsistencies and gaps\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/4f862c09-dce0-48da-91fe-1a152a5d82da)\n\n* Prompt editor and inference support for any closed & open-source model for prompt iteration.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/92464a28-ab54-4511-bc79-fd3e4f9d4823)\n\n* Agent tracing observability with live drift detection, regression alerts, and performance visibility across real user interactions.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/2b82ecee-1965-4fc0-831d-36b76db3f064)\n\nTeams using Lemma cut manual prompt iteration by 90%, resolve production drifts in minutes instead of days, and improve model performance \\~2–5% every optimization cycle.\n\n**Our Story:**\n\nWe met freshman year at USC and have been building together ever since instead of going to classes.\n\nBefore starting Lemma, we were engineers at two high growth, AI-native startups: Tandem (AI for healthcare) and Chipstack (AI agents for chip design). At both companies, setting up evaluations looked like clunky Retool dashboards and multiple engineers manually tweaking experiments. We built internal systems that automated both running the evaluations themselves, as well as the error-driven feedback loop. The result: 2x accuracy improvement and speed of iteration.\n\nWe soon realized every AI company was reinventing the same internal tooling in-house. So we left college, joined YC, and are now bringing continuous learning infrastructure to everyone else.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53754495-215a-47aa-884d-bae4a59f9a68)\n\n**Ask**\n\n**Try our platform** - If you’re building with LLMs and run a ton of prompt or eval experiments, we’d love for you to work with us.\n\n**Introductions** - If you know a Head of AI/Eng or CTO at a pre-seed to Series A startup, we owe you lunch :)\n\nPlease reach out at [jerry@uselemma.ai](mailto:jerry@uselemma.ai) or book a live demo on our website [uselemma.ai](http://uselemma.ai). All help is appreciated - thank you!\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53c71689-276c-4993-b693-50aa8a492566)\n\n", "url": "https://www.ycombinator.com/launches/Oln-lemma-continuous-learning-for-ai-agents", "votes": 204, "created_at": "2025-11-05T19:58:08.940Z" } ] }, { "id": 30970, "name": "Exonic", "slug": "exonic", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cc27505c22c402a3b3d1ac7fac9315f0ab93577.png", "website": "https://exonic.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We program DNA sequences to be context-aware, unlocking new kinds of genetic therapies.", "one_liner": "Exonic is an AI-native cell and gene therapeutics company. ", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1762663893, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/exonic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/exonic.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exonicbio/", "x_url": "https://x.com/exonicai", "fb_url": "https://www.facebook.com/profile.php?id=61582621808913", "cb_url": "https://www.crunchbase.com/organization/exonic", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cc27505c22c402a3b3d1ac7fac9315f0ab93577.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": 2083214, "full_name": "Ben Brimacombe", "title": "Founder/CEO", "founder_bio": "Co-founded Free2Grow, one of the largest AI voice companies in the home services vertical today.\nCo-led Turnpoint contract ($1.4B revenue aggregator) at Free2Grow. \nColumbia Computer Science and Mathematics, 2020.\nPublished AI researcher.\nLed machine learning at Long Run Partners, an NYC mortgage bank.\nResearched ML at Numerai, the crowdsourced hedge fund ($500m+ AUM). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjamin-brimacombe/", "x_url": "https://x.com/thebrimacombe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/578f87186dce856bae8932a77e7f0925af73d890.jpg" } ], "jobs": [ { "id": 95156, "title": "Founding Scientist (Synthetic Genomics)", "url": "https://www.ycombinator.com/companies/exonic/jobs/TknRQEX-founding-scientist-synthetic-genomics", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Science", "role_type": "Biology", "salary_range": "$120K - $180K", "equity_range": "0.50% - 2.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Cell biology", "Molecular biology", "Wet lab", "Biology" ] } ], "news": [], "launches": [] }, { "id": 30972, "name": "Jarmin", "slug": "jarmin", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a48984c0a7bc281e9b076876c8d571aaf44c799e.png", "website": "https://jarmin.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Jarmin.ai builds AI employees for human-level roles. It learns its responsibilities, understands your data, embeds into your systems, and becomes part of your team's day-to-day workflow. Completely hand over full initiatives or individual tasks.\r\n\r\nHire AI ML Engineers, Account Executives, Paralegals, Financial analysts, Compliance analysts, and more.\r\n\r\nJarmin’s founding team is from Meta SuperIntelligence Labs (Staff Engineers), Apple (Machine Learning Engineer), AWS (scaling infra), Lockheed-Martin (Research), and JPMorganChase (SWE) with experience building AI/ML and automating complex work of Researchers, Data Scientists, ML Engineers with AI.", "one_liner": "AI Employees for human-level roles", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1762304310, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/jarmin", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/jarmin.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/jarmin-ai", "x_url": "https://x.com/jarmin_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a48984c0a7bc281e9b076876c8d571aaf44c799e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09818abeab435f12ba750dc0655cdcab717fb68b.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 102484, "full_name": "Chalmers Brown", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Jarmin.ai\n\nEx-Meta SuperIntelligence Labs, Staff Engineer | Ex-Techstars Founder | Ex-JPMorganChase SWE | Team USA Athlete\n\nUsing experience automating the work of Researchers, Data Scientists, Machine Learning Engineers to bring Jarmin to life.\n\nEducation:\n- Stanford Engineering Everywhere program\n- Harvard Business School Online\n- Rutgers University (Computer Science & Pre-Med)", "is_active": true, "linkedin_url": "https://linkedin.com/in/chalmersbrown", "x_url": "https://x.com/chalmers_brown", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4fac4e82792ad854eb17cf508e5b423d8061dd26.jpg" }, { "user_id": 2210451, "full_name": "Shirsendu Halder", "title": "Co-Founder & Head of ML", "founder_bio": "Prev:\n- ML/GenAI research at Apple\n- Research for Lockheed Martin\n- Research at INRIA, Universite Laval, Indian Statistical Institute\n- Published ML/CV papers at CVPR (best paper), ICCV, ACCV, IJCV, etc\n\nEducation:\n- CS/Robotics at Carnegie Mellon\n- CS at IIT Roorkee", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shirsenduhalder/", "x_url": "https://x.com/shirsenh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2405eec013499651cbc6cd258c24ec7cf3e6bcb.jpg" }, { "user_id": 808469, "full_name": "Zack Leman", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Jarmin.ai\n\nPreviously\n- Staff Engineer at Meta Superintelligence Labs\n- SWE at Amazon Web Services (AWS)\n- CTO & co-founder of (catch) health\n- Founding SWE at Artera\n\nEducation:\nBusiness Bridge Program @ The Tuck School of Business at Dartmouth\nBowdoin College (Neuroscience & CS double major)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zackleman/", "x_url": "https://x.com/zackeryleman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd8354c66b28276eda194cdff39b40ee2e948191.jpg" } ], "jobs": [ { "id": 104829, "title": "Member of Technical Staff (Agent Infrastructure)", "url": "https://www.ycombinator.com/companies/jarmin/jobs/rsbdl57-member-of-technical-staff-agent-infrastructure", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Distributed Systems", "AI Agents" ] }, { "id": 104830, "title": "Member of Technical Staff (Agents)", "url": "https://www.ycombinator.com/companies/jarmin/jobs/xvu8j5U-member-of-technical-staff-agents", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "AI Agents" ] }, { "id": 104831, "title": "Member of Technical Staff (Product)", "url": "https://www.ycombinator.com/companies/jarmin/jobs/KctsIZN-member-of-technical-staff-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Design systems", "AI Agents" ] }, { "id": 104832, "title": "Member of Technical Staff (Evals)", "url": "https://www.ycombinator.com/companies/jarmin/jobs/K9ot5wF-member-of-technical-staff-evals", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Machine Learning", "Evals" ] }, { "id": 104833, "title": "Member of Technical Staff (Models)", "url": "https://www.ycombinator.com/companies/jarmin/jobs/C10ltH6-member-of-technical-staff-models", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Machine Learning" ] }, { "id": 108288, "title": "Member of Technical Staff", "url": "https://www.ycombinator.com/companies/jarmin/jobs/PmyDU1t-member-of-technical-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Distributed Systems", "Software Architecture", "AI Agents" ] }, { "id": 109580, "title": "Founding Sales - Account Executive", "url": "https://www.ycombinator.com/companies/jarmin/jobs/jl80fR1-founding-sales-account-executive", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $300K", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 95358, "title": "Jarmin.ai - You can now hire 24/7 Machine Learning Engineer employees", "tagline": "Team from Meta (SuperIntelligence Labs), Apple (ML), AWS (Infra), Lockheed-Martin (Research), JPMorganChase (SWE)", "body": "![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/0576d378-3041-486d-b170-c6dd2fa398eb)\n\n**TLDR**\\\nJarmin is an autonomous ML engineer that ships production AI/ML features. Assign projects or individual tasks, and Jarmin handles the end-to-end workflow for models, pipelines, testing, and improvements.\n\nhttps://youtu.be/HjWlOLEn2JI\n\n**Our Team is impressive with the right experience**\\\nChalmers and Zack were Staff Engineers at Meta Super Intelligence labs building LLM training infrastructure and agents to assist ML Engineers. Before Meta, Zack built scalable real-time infra at AWS. Shir is similarly entrenched in the ML world, as a Research ML Engineer at Apple shipping production ML to billions of users and a Researcher at Lockheed Martin.\n\n**The Problem**\\\nPrompt engineering using Claude Code/Cursor isn’t enough to handle production ML workflows such as domain-specific feature engineering, model selection under constraints, hyperparameter optimization, and many more nuanced decisions that make it nearly impossible to move fast without dedicated ML engineering resources.\n\nHiring ML engineers can take 3-6+ months at $200K+ annually with costs skyrocketing for top talent. The barrier is even higher for SMBs: you need to build infrastructure, hire specialized engineers, and compete with tech giants, so your data sits unused. Companies with ML teams aren't much better off. Engineers spend most of their time on operational overhead (data wrangling, pipeline debugging, infrastructure maintenance) instead of innovation.\n\n**How Jarmin Works**\\\nTalk to Jarmin about what you want to build via our chat UI. Jarmin understands your ML goals, connects to your data sources, experiments with approaches, and deploys production pipelines. Under the hood, Jarmin is a system of proprietary agents, models, automations that each handle portions of the ML lifecycle. This system enables Jarmin to execute on the hundreds of micro-decisions ML Engineers typically have to handle in the ML development lifecycle.\n\nYou choose your level of involvement: full autonomy or approval at key decision points.\n\n![uploaded image](/media/?type=post&id=95358&key=user_uploads/102484/bf6c81c0-b599-43ab-8207-e7b1d6077684)\n\n**Our Vision**\\\nWe're not replacing people. We are giving them superpowers. We will enable the competitive advantage that used to belong only to companies with top-tier AI/ML teams to be accessible to everyone.\n\nOur vision is for every company to have a top-tier AI/ML team.\n\n**A Jarmin For Every Industry**\\\nJarmin can be used in any industry that could be improved with custom AI. We’ve seen Jarmin be helpful for: semiconductor manufacturers catching defects, biotech companies analyzing microbes, AI marketing platforms, social media apps and marketplaces building recommendation systems. Different industries, same story. They've got big ideas and now they finally have the ML horsepower to pull them off.\n\n**Get Started**\\\nContact us at [**chalmers@jarmin.ai**](mailto:chalmers@jarmin.ai) to hire Jarmin.", "url": "https://www.ycombinator.com/launches/Oo2-jarmin-ai-you-can-now-hire-24-7-machine-learning-engineer-employees", "votes": 112, "created_at": "2025-11-10T14:56:31.683Z" } ] }, { "id": 30975, "name": "MadeThis", "slug": "madethis", "former_names": [ "Castar", "Castari" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b59fa186ca146c4f90522806e84fb89b3f9f10.png", "website": "https://madethis.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "The autonomous business platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1762394891, "tags": [ "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/madethis", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/madethis.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/made-this-inc/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/73b59fa186ca146c4f90522806e84fb89b3f9f10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/78d23c8112ae03652c4dfb4aa77972df865284b3.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4de7c7f313b2f0060bfe6c75e252e521efebe17a.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1070542, "full_name": "Jacob Wright", "title": "Founder/CEO", "founder_bio": "Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Former founding engineer & FDE manager at RunPod. Built out RunPod's growth engineering & FDE teams as we scaled to $100m in revenue", "is_active": true, "linkedin_url": "https://linkedin.com/in/jacob-c-wright", "x_url": "https://x.com/jehovahscript", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c139be22efd43a9737b6d4fe9cadf4ea85a4bf82.jpg" }, { "user_id": 1372064, "full_name": "Cambree Bernkopf", "title": "Founder", "founder_bio": "Previously Co-Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Led product design for Remi's (YC W22) consumer facing products at 19 years old\nNow running Bernie Studios, a Design Studio for venture backed startups.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cambree-bernkopf-3385b0250", "x_url": "https://x.com/cambreedesigns", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e30cb1ea13f9b458a8359bd6f85865829e62957.jpg" }, { "user_id": 1218017, "full_name": "Santiago Gomez Paz", "title": "Founder", "founder_bio": "Building MadeThis. Previously founded Zaymo (YC W24), researched synthetic data at MIT CSAIL, and worked in product management at Turing.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gomezpaz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e85b383b3ed8bc38466aa525959868fe4f0a5c3.jpg" } ], "jobs": [ { "id": 105107, "title": "Founding Engineer, Platform", "url": "https://www.ycombinator.com/companies/madethis/jobs/gQPZaNB-founding-engineer-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $350K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "React Native", "TypeScript", "Distributed Systems", "Machine Learning", "LLMs", "Fine-tuning", "Evals" ] }, { "id": 105108, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/madethis/jobs/dgBaRrI-forward-deployed-engineer", "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $350K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "Python", "TypeScript", "Machine Learning", "Fine-tuning", "Evals" ] }, { "id": 106822, "title": "Head of Research", "url": "https://www.ycombinator.com/companies/madethis/jobs/Ojbxcjv-head-of-research", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$250K - $500K", "equity_range": "1.00% - 5.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Machine Learning", "Fine-tuning", "AI Agents" ] }, { "id": 106823, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/madethis/jobs/QNBSA0l-founding-account-executive", "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 108368, "title": "MadeThis: The platform for self-driving businesses", "tagline": "Build a business that runs itself", "body": "**TL;DR:** MadeThis helps users launch a business in < 10 minutes and handles all of the busy work.\n\n\n\nMadeThis provides everything you’d need to run your business:\n\n* a website\n* legal incorporation\n* payments\n* marketing content\n* paid ads\n* social integration\n* etc.\n\nAND the team of AI teammates to manage it all.\n\nWithin the last 100 days, over 20,000 businesses have launched on MadeThis and $100,000s have been generated through the platform.\\\n\\\nWith customers ranging from first time founders to business owners doing $50m+ per year, MadeThis helps turn any company into a self-driving company.\n\nGet started today at \n\nMid-market enterprise doing $10m+ in revenue? Wanting custom AI teammates? Reach out to [jacob@madethis.com](mailto:jacob@madethis.com)", "url": "https://www.ycombinator.com/launches/SBs-madethis-the-platform-for-self-driving-businesses", "votes": 1, "created_at": "2026-07-30T16:40:00.795Z" }, { "id": 97921, "title": "Castari – The runtime for agents that need a computer", "tagline": "Your agent executes code, calls tools, and runs for hours. We give it a sandbox, an endpoint, and observability — with one command.", "body": "### TL;DR\n\nCastari is hosting infrastructure for agents that need more than an API call. Run `cast deploy` and your agent gets a secure sandbox, auto-scaling endpoint, and full observability.\n\nPublic beta is live today.\n\n\n\n---\n\n### The problem\n\nSerious agents aren’t just “call an API and done.”\n\nThey execute code, hit tools and browsers, run for minutes to hours, and touch sensitive systems. Every team ends up rebuilding the same fragile setup:\n\n* homegrown agentic harnesses\n* stitched-together sandboxes/microVMs/containers/queues\n* logs and traces scattered everywhere\n* hacky snapshots and suspect secret handling\n\nSo:\n\n* every agent needs its **own** mini-runtime\n* debugging one run is detective work\n* adding a new agent feels like starting a new infra project\n\nDeploying agents that work great locally turns into wrangling infrastructure.\n\n---\n\n### **The problem**\n\nSerious agents aren't chatbots. They execute code, call tools, touch filesystems, and run for hours. They need a computer.\n\nBut there's no good way to put them in production. You end up stitching together containers, queues, and compute layers — rebuilding the same infrastructure every team rebuilds. The agent works on your laptop. Getting it to work reliably for users takes weeks.\n\nWe hit this ourselves. We built an AI consumer app to 2M+ members while at RunPod (scaled to $100M revenue). The hardest part was never the model — it was the harness. Every time we shipped a new agent, we were rebuilding sandboxing, scaling, secrets, and monitoring from scratch.\n\n### **What we built**\n\nCastari wraps your agent in a secure sandbox and gives you back a production endpoint.\n\n```\nnpm install -g @castari/cli\ncast login\ncast deploy\n```\n\nYour agent now has:\n\n* **Secure sandbox** — full isolation. Your agent can safely execute code, use browsers, and access filesystems\n* **Auto-scaling endpoint** — scales with demand, no capacity planning\n* **Observability** — trace every tool call, decision, and output in real time\n* **Multi-model support** — Claude, OpenAI, xAI, open source. Your code stays the same\n* **Zero lock-in** — remove Castari and your agent still runs on vanilla Claude Agent SDK\n\n---\n\n### **How we're different**\n\nMost tools give you primitives — a sandbox API, a container runtime, a compute layer. You still stitch it together yourself.\n\nCastari wraps around your agent. You define it declaratively, we manage the lifecycle: provisioning, versioning, execution, scaling, teardown. You write agent logic, not infrastructure code.\n\n### **What's next**\n\n* Better tracing and observability — debug agent behavior in production, not after the fact\n* Higher sandbox concurrency limits — run more agents in parallel\n* Forever-running sandboxes — agents that stay alive indefinitely\n\n---\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [@Cambree Bernkopf](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ users, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n---\n\n### Try it\n\nDocs: [docs.castari.com](http://docs.castari.com)\n\nWebsite: [castari.com](http://castari.com)\n\nCLI: `npm install -g @castari/cli`\n\nOr email [jacob@castari.com](mailto:jacob@castari.com) — happy to get you deployed.\n\n— Jacob & Cambree\n\n![uploaded image](/media/?type=post&id=97921&key=user_uploads/1070542/1e7ef564-ad96-4b4e-aa0e-80212ee05604)\n\n", "url": "https://www.ycombinator.com/launches/PTN-castari-the-runtime-for-agents-that-need-a-computer", "votes": 5, "created_at": "2026-02-17T23:23:56.820Z" }, { "id": 95573, "title": "Castari - Vercel for AI Agents", "tagline": "Deploy your sandboxed agents with Castari", "body": "Hey! We’re Jacob Wright & Cambree Bernkopf, founders of [Castari](https://castari.com).\n\n### **TL;DR**\n\n**Castari lets teams deploy AI agents to secure, autoscaling sandboxes in seconds.**\n\nYou write agent logic with the **Claude Agent SDK (other frameworks coming soon)**. We turn it into a production-grade endpoint.\n\nWe’re especially focused on:\n\n* Teams building **internal agents** (ops, support, data, eng workflows).\n* Companies whose **core product is an agent** built on Claude Agent SDK and need a safe, reliable way to run it.\n\n### Launch Video:\n\nhttps://youtu.be/81K80OivtAc\n\n### The Problem:\n\nSerious agents are not just a single API call. [Agents need a computer.](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)\n\nThey execute code, call tools and browsers, run for minutes instead of milliseconds, and touch sensitive systems. Most teams end up rebuilding the same fragile setup:\n\n* Homegrown agent harnesses\n* Sandboxes, file systems, and queues stitched together\n* Logs and traces scattered across many services\n* Ad hoc snapshots and risky secret handling\n\nThe result:\n\n* Every agent needs its own mini runtime\n* Debugging one agent run feels like detective work\n* Adding a new agent feels like starting a new infra project\n\nGood agents stall at “cool demo” instead of reaching production. Deploying agents becomes a full-time infrastructure problem.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/89898/44917ba7-819c-4c41-a80f-ef359054b19e)\n\n### How Castari solves it\n\nWe’re building Castari to be the **natural runtime for AI agents built on Claude Agent SDK**. We wrap the entire agent in a sandbox, deploy it, and provide you with an endpoint url that auto-scales as requests come in. No need to write code in your tools to manage your sandbox lifecycle.\n\n#### **1. Drop in a config file → get a production runtime**\n\nIn your Claude Agent SDK repo:\n\n* Add a `castari.yaml` (entrypoint, tools, env vars)\n* Run `castari deploy`\n\nThat’s it. Your agent is now running in a secure sandbox with an endpoint, UI, and observability.\n\nWhether that agent is:\n\n* an **internal system** your team uses\n* a **customer-facing agent** that _is_ your product\n\nthe deployment workflow is identical and boring (in the good way).\n\n#### **2. Sandboxing & safety, built-in**\n\n* Every run executes in an isolated sandbox designed for tool-using agents\n* You design the behavior; we handle isolation and scaling\n* No more duct-taping together sandbox primitives for specific tools\n\n**Bottom line:** You keep building on **Claude Agent SDK** the way you already are — for internal workflows or core products. Castari turns that into a safe, observable, production-ready runtime.\n\n### Why Castari is different\n\n**E2B, Modal, Daytona, Cloudflare** (and friends) give you powerful sandbox and compute primitives.\n\n**Castari sits one layer up:**\n\nCastari wraps around your Claude Agent SDK-based agents so you can define them declaratively and run them in secure sandboxes, without owning the underlying sandbox lifecycle.\n\n* **Agent-first semantics**: runs, sessions, tools, snapshots are native concepts we manage.\n* **Zero framework lock-in**: remove Castari and your agent still runs on vanilla Claude Agent SDK; keep Castari and your infra team gets its life back.\n* **Focused start**: deeply integrated with **Claude Agent SDK** today, with the same “drop-in config” experience coming to other frameworks next.\n\nWe’re building the runtime we wish existed for agents.\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [**@Cambree Bernkopf**](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ members, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/1070542/5fbe422a-1cc4-49e3-95ce-8740164b600e)\n\n### Ask: early pilot access\n\nWe are opening a limited pilot for:\n\n* Teams building internal agents who need a safer, more reliable runtime\n* Companies building agent centric products that need to run in production without bespoke infra\n\nIf that is you and you are tired of wrestling with sandboxes, observability, and brittle tooling:\n\n→ Email [**jacob@castari.com**](mailto:jacob@castari.com) with subject “Castari Pilot” and 2 to 3 sentences about your agent stack and use case.\\\n→ Check out our open source repo for using any model with Claude Agent SDK on [GitHub](https://github.com/castar-ventures/castari-proxy).\\\n→ Join the waitlist on [**castari.com**](http://castari.com) to hear about our first releases.\n\nJacob, Cambree, and the Castari team", "url": "https://www.ycombinator.com/launches/OrV-castari-vercel-for-ai-agents", "votes": 20, "created_at": "2025-11-17T20:28:20.453Z" } ] }, { "id": 30977, "name": "Rovi Health", "slug": "rovi-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/854d5ebc9419a8974e7acf5bf13e395923c740a6.png", "website": "https://www.rovi.health", "all_locations": "New York City, NY, USA", "long_description": "We deliver high-quality, cost-effective healthcare to employees through text. Employers cut 10–20% of healthcare spend. Employees get concierge care that improves outcomes.\r\n\r\nOur AI agents analyze clinical data to identify care needs. We treat common conditions through our integrated virtual clinic. For more complex care, our agents find the best in-network providers using millions of price and quality data points, and handle end-to-end appointment booking. ", "one_liner": "AI healthcare concierge for employees", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1761513033, "tags": [ "Consumer Health Services", "Health Tech", "Digital Health", "Healthcare", "Health Insurance" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rovi-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/rovi-health.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rovi-health/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/854d5ebc9419a8974e7acf5bf13e395923c740a6.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": 1230817, "full_name": "Santosh Vallabhaneni", "title": "Founder/CEO", "founder_bio": "Santosh is the CEO of Rovi Health, building AI-enabled, text-based healthcare. Previously GM of Cedar’s patient affordability products, sold millions in ARR to the largest health systems in the country. Early employee at AngelList, led their GTM and Customer Success teams. Also a licensed health insurance broker. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/santoshvallabhaneni/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e62416f806e108e0d1bf4afbc158709a8f218e1.jpg" }, { "user_id": 1932657, "full_name": "Tarun Vallabhaneni", "title": "Founder/CTO", "founder_bio": "Tarun is the CTO and co-founder of Rovi Health, building AI-enabled, text-based healthcare. Previously, Tarun was working on foundational AI models to predict extreme weather events. \n\nHe holds an M.S. in Computer Science from UChicago, specializing in AI and high-performance computing, and a B.S. in Biology from Cornell.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tvallabh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb56912caeb61e0d6a3835792eb5e05f2c473536.jpg" } ], "jobs": [ { "id": 93206, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/rovi-health/jobs/tSysGWC-founding-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $250K", "equity_range": "0.75% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97833, "title": "Senior / Staff Founding Engineer", "url": "https://www.ycombinator.com/companies/rovi-health/jobs/TdMPbYV-senior-staff-founding-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 97834, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/rovi-health/jobs/8xkizlu-founding-gtm-engineer", "location": "New York, United States", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94971, "title": "Rovi Health: Text-based healthcare that slashes employer health spend", "tagline": "We deliver high-quality, affordable healthcare to employees through text. Employers cut 10-20% of their annual spend. Employees get concierge healthcare they love.", "body": "# **⏳TL/DR**\n\nRovi helps employees access high-quality, cost-effective healthcare. We text employees the best in-network options at exactly the right moment, and handle all the complexity.\n\n* Our AI-enabled virtual care treats common conditions quickly over text or video.\n* For complex care, our AI agents search across all in-network providers using millions of price and quality data points, then handle scheduling and logistics.\n* Employees get rewarded for choosing high-value care through copay reimbursements and waived deductibles.\n\nLaunch video: https://www.youtube.com/watch?v=mKNB0CF8_9Y\n\n# **⚠️ The Problem**\n\nHealthcare costs are crushing employers. 2025 is seeing a 9% rate hike, the worst in a decade. A 1,000-person company now faces over $1M in cost increases annually, compounding.\n\nEmployers’ only options are to cut benefits or redesign their entire plan. Both take months and frustrate employees.\n\nWhat if Employers could offset these costs by adding benefits instead?\n\n## **🤨 How is this possible?**\n\n**Price and quality have no correlation in healthcare:**\n\n* The same MRI: $700 at an imaging center vs $2,500 at a hospital. Same network. Same machine.\n* The same knee surgery: $7,000 at a surgery center vs $25,000 at a hospital. Same surgeon. Often better outcomes at the surgery center.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/7a7a2b27-4c82-410c-9744-82a5af6b1cc2)\n\n**So why does everyone end up with the expensive option?**\n\n1. **Hospitals own the referral pipeline.** They consolidated most primary care practices. When your doctor orders a procedure, their systems automatically directs it to their expensive facilities.\n2. **Shopping is impossible.** Prices are hidden, provider directors outdated, quality is opaque. And when you're sick, calling twelve clinics is the last thing you want to do.\n\n**Rovi does the hard work.** Our AI agents analyze terabytes of pricing data, research every provider's quality metrics, and surface options matching each person's preferences for cost, convenience, and availability. Making good healthcare decisions drives down costs for both the employee and the employer.\n\n# **🎯 Impact**\n\nWe save employers 10-20% on healthcare spend while improving care outcomes and delivering a health benefit that employees love.\n\nWe've already signed contracts to roll out to thousands of employees across multiple employers for the 2025-2026 plan year.\n\n## **🙏🏾 Our ask**\n\n1. **Employers:** We have two final Q1 spots for self-funded employers. Introductions to employer benefits teams, brokers, health plans, and TPAs are welcome. Reach out to [santosh@rovihealth.com](mailto:santosh@rovihealth.com).\n2. **Individuals:** [**Join our beta**](https://rovi.health/) to try our AI care concierge. Rovi will find you great in-network doctors whenever you need care. Virtual care coming soon.\n\n## **👬🏾 Our team**\n\nWe're brothers on a mission to build AI-native health insurance that members love.\n\n**Santosh** was previously building Cedar's affordability products, scaling to millions in ARR by closing enterprise deals with the country's largest hospital systems. Before that, he led a 30-person GTM & Customer Success team at AngelList. He’s also a licensed health insurance broker.\n\n**Tarun** built foundational AI models to predict extreme weather events at UChicago, where he earned a Master's in AI and high-performance computing. He has a B.S. in biology from Cornell, and is obsessed with using AI to solve healthcare's messiest data problems.\n\n![uploaded image](/media/?type=post&id=94971&key=user_uploads/1230817/5e3c8786-7330-4fa2-bdee-8a416d5144c9)\n\n", "url": "https://www.ycombinator.com/launches/Ohn-rovi-health-text-based-healthcare-that-slashes-employer-health-spend", "votes": 39, "created_at": "2025-10-28T18:03:14.789Z" } ] }, { "id": 30978, "name": "Miniswap", "slug": "miniswap", "former_names": [ "Miniswap Technologies Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19d8cd9731e5b803cf28ada75d13c38049717b0e.png", "website": "https://miniswap.gg/", "all_locations": "San Francisco, CA, USA", "long_description": "Miniswap a marketplace for complex hobbies, starting with Warhammer.\r\n\r\nIn hobbies as complex as Warhammer, finding what you want on general marketplaces is a huge pain. Filters don't work, free-form listings mean that products are regularly misidentified, and piles of counterfeit junk crowd search results. \r\n\r\nMiniswap saves hobbyists from this chaos with its catalogue of more than 20,000 unique miniatures. Sellers match their listings against Miniswap's catalogue giving buyers more information and structure as they shop.\r\n\r\nThe global market for tabletop games is estimated to be worth $20B in 2025 and Warhammer alone is projected to grow to $3B by 2030. By capturing the market in this untapped niche, Miniswap is strongly positioned to bringing greater transparency, simplicity, and connectivity into adjacent verticals.\r\n\r\nMiniswap's founding team merges deep domain knowledge with elite programming expertise and years of experience in business consulting and startups. Co-founders Zak and Will met while studying together at Cambridge, bonded over their love of Warhammer and early modern history. They have been best friends ever since. ", "one_liner": "The Marketplace for Complex Hobbies", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1760936665, "tags": [ "Marketplace", "Consumer", "Gaming" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/miniswap", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/miniswap.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/miniswap/", "x_url": "", "fb_url": "https://www.facebook.com/profile.php?id=61570938691765", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/19d8cd9731e5b803cf28ada75d13c38049717b0e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/010f7145d1a8ce8d8f9d28d478a3ddb43e35728b.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2319955, "full_name": "Zak Singh", "title": "Founder/CEO", "founder_bio": "Former Cambridge CS PhD. East Bay native. Lover of Warhammer and concatenative programming languages (in that order).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zak-singh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36181f3d4d1eeba4dde5d21201d02e4603687a67.jpg" }, { "user_id": 2363018, "full_name": "Will Hanna", "title": "Founder", "founder_bio": "Former strategy consultant/law student. Canadian. Lover of tabletop games and road cycling (in that order).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/will-h-48a38bbb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d69ab55386c4239f2d07435100c297a0995a0063.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95395, "title": "Miniswap: The Marketplace for Tabletop Games", "tagline": "Helping tabletop gamers find exactly what they want", "body": "Hi!\n\nWe’re [Zak](https://www.linkedin.com/in/zak-singh) and [Will](https://www.linkedin.com/in/will-h-48a38bbb/) — co-founders of [Miniswap](https://miniswap.gg/).\n\n**TL;DR:** Miniswap is a marketplace for the $20b tabletop games industry, starting with Warhammer. Since launching 4 weeks ago, 1,000 gamers have already signed up and listed over $40k of inventory.\n\n**Ask:** Do you know a lover of tabletop games or a game store owner that could benefit from what we’ve built? Contact us at [admin@miniswap.gg](mailto:admin@miniswap.gg)\\\n\\\n[Introducing Miniswap — The Marketplace for Tabletop Games](https://www.youtube.com/watch?v=zvLHV8x1lg8%5C)\n\n\\\n**The Problem: Buying Wargaming Minis is a Huge Pain**\n\nTabletop games like Warhammer have incredibly complex taxonomies – one kit can be built into ten different models all with different roles in the game. Without a uniform description, sellers create information-sparse listings that do not accurately describe what they are selling.\n\nDoomscrolling through generic marketplaces trying to find what you’re looking for has become a rite of passage in the wargaming hobby. Browsing existing marketplaces is like sifting through a junk drawer of mislabeled minis and knock-offs.\n\nThe result? Buyers can’t find what they want and sellers can’t move their inventory.\\\n\\\n**Miniswap’s Solution: One Catalogue to Rule Them All**\n\nWe’re making it easier for buyers and sellers of tabletop gaming products to connect\n\nUsing AI, we’ve built a comprehensive catalogue of every miniature released over the past 25 years -- more than 20,000 of them -- with data on every detail buyers and sellers care about. This gives our users:\n\n* **1) A better buying experience:** gamers can now search for the exact miniature they want, and drill down by the attributes that actually matter to them.\n* **2) A better selling experience:** As a seller, all you need to do is take a photo of your miniature(s) and Miniswap will automatically create an accurate and detail-rich listing for you.\n\nOur high-resolution catalogue also gives us the ability to displace generic online store and inventory management systems like Shopify.\\\n\\\n**The Team**\n\n![uploaded image](/media/?type=post&id=95395&key=user_uploads/2363018/d16aca68-46cb-4cf9-9612-09d47a4a77de)\n\nZak’s love of tabletop games spans two decades—he got his first Warhammer kit when he was 6 years old and has been active in the hobby ever since. Before founding Miniswap, Zak was the CTO of Hear Me, a mental health app serving over 100k users. He dropped out of his PhD in computer science at Cambridge to start Miniswap.\n\nBefore founding Miniswap, Will worked as a strategic advisor to the CEOs of some of the world’s largest companies, including Bridgewater Associates and Pfizer. He has advanced degrees in economics and philosophy from McGill and Cambridge. He dropped out of law school at McGill to move to found Miniswap.\n\nWill and Zak were roommates while studying at Cambridge where they immediately bonded over their shared love for tabletop games and early-modern history. They have been best friends ever since.\n\n![uploaded image](/media/?type=post&id=95395&key=user_uploads/2363018/5512bb1e-405a-4de0-acf7-437b2d56a631)\n\n", "url": "https://www.ycombinator.com/launches/Ood-miniswap-the-marketplace-for-tabletop-games", "votes": 32, "created_at": "2025-11-11T01:01:50.193Z" } ] }, { "id": 30981, "name": "Freeport Markets", "slug": "freeport-markets", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7785e7f2104cbe8c0fd7a9462d42a9b03d5aeb86.png", "website": "https://www.freeportmarkets.com/", "all_locations": "New York City, NY, USA", "long_description": "Freeport is a trading platform for pre-IPO shares, equities, crypto, and perpetual futures. Our AI analysts turn trusted social and financial media into a real-time feed of market-moving news and actionable trade ideas.", "one_liner": "Trade Anything", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1758671175, "tags": [ "Fintech", "Crypto / Web3", "Investing", "Consumer Finance", "AI" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Freeport makes social media tradable by turning the sources you trust into actionable trades.\r\n\r\nThe core problem is that the earliest market signals now live in human networks and attention flows, not traditional research pipelines. Edge emerges first in Twitter threads, Reddit communities, and other alternative data. In an attention-driven economy, price moves not just on facts, but on what spreads, who amplifies it, and how quickly a narrative captures mindshare. Retail investors feel this most because they lack terminals, coverage, and the bandwidth to monitor dozens of feeds for breaking news, catalysts, and shifts in positioning.\r\n\r\nFreeport productizes the situational awareness workflow that professionals do manually. We turn your trusted sources into a tradable feed by detecting breaking signals, measuring what is gaining attention, cross-checking across media, mapping second-order impacts to assets, and producing inspectable trade cards with evidence and context. The goal is not more content. It is a continuously updated view of what matters right now and what it implies.\r\n\r\nWe are building this because we have lived the gap between trading with full coverage and trading blind. I traded single stock equity derivatives at three major market makers, where analyst coverage, real time news, and a shared view of catalysts and positioning materially improve decisions. In my personal account outside that coverage, it is easy to miss headlines, attention shifts, or key catalysts until price has already moved, and even strong teams cannot monitor everything. My cofounder is deeply technical with experience at Capital One and Huawei, and we are building Freeport to make that level of speed and situational awareness accessible to everyone.\r\n\r\nOur thesis is simple. As attention becomes a primary market input, the winners will be those with an AI layer that turns trusted information and real-time attention into timely, explainable decisions. Freeport keeps you situationally aware so you are always up to date and never late." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If we succeed, the world changes in one main way: anyone can turn an opinion into a precise market position as easily as posting a thought online. Today that translation is slow and gated. You need context, instrument selection, sizing, execution, and risk controls across fragmented venues. Institutions win because they have teams and systems that continuously do this work.\r\n\r\nFreeport’s long-term vision is to build the on-chain infrastructure that connects information to execution. We turn continuous information processing from an institutional advantage into shared rails so more people can access sophisticated opportunity sets, move faster from belief to position, and trace exactly why a trade exists back to its source and evidence.\r\n\r\nAt the macro level, this improves market quality. Prices are an information system meant to compress dispersed knowledge into signals that coordinate capital. When interpretation is bottlenecked, price discovery is thin and discontinuous. If we democratize the signal to decision workflow with transparent provenance, price discovery becomes deeper and more continuous as more participants act earlier with context. The result is better prices, better capital allocation, and a market closer to decentralized coordination through dispersed knowledge." } ], "url": "https://www.ycombinator.com/companies/freeport-markets", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/freeport-markets.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/freeportmarkets", "x_url": "https://x.com/freeportmrkts", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/freeport-markets", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7785e7f2104cbe8c0fd7a9462d42a9b03d5aeb86.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": 2929506, "full_name": "Lihong Wang", "title": "Founder/CEO", "founder_bio": "Ex-Jane Street, Ex-IMC Options Trader. Built systematic and discretionary strategies across equities and fixed income.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lihong062/", "x_url": "https://x.com/Lihong062", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb6a0261e02e8f251e33a5b2391318d745c20e50.jpg" }, { "user_id": 2929527, "full_name": "Bryan Reed", "title": "Founder/CTO", "founder_bio": "Founder at Freeport", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryan1738/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/165bc8a2dbcb62023ed24fb72676d4f5c7ff790e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94762, "title": "Freeport - Intelligent DeFi Investment Platform", "tagline": "Earn yield on crypto and build portfolios with AI + human expertise. 🤖🚀", "body": "Hey YC! 👋\n\nWe’re Lihong & Bryan, former quant trader and developer, and we are building Freeport Markets (https://freeportmarkets.com) to make DeFi investing more accessible for all. \n\n**TL;DR:** Freeport helps you build a **diversified crypto portfolio** across quality assets, and access the most trusted and l**ucrative opportunities in DeFi** on one page, with one click.\n\n**_Ask_**_:_ Try [freeportmarkets.com](http://freeportmarkets.com) (on desktop with hot wallet) and give us feedback! Connect us with student orgs or other groups who can help us with distribution. Our ICP are crypto-adjacent folks who keep most of their crypto on Robinhood/Coinbase. Check out our fun promo vid 👇https://www.youtube.com/watch?v=TWZTB_r_jO4\n\n### **❌ Problem**\n\nMost investors’ crypto portfolios suffer from the follow issues: \n\n* **Leaving Yield on the Table:** Easy and safe 4-8% extra returns a year from staking / conservatively lending crypto assets that they already own.\n* **Under-diversified:** Portfolios are often just BTC/ETH, which can underperform the crypto market. (No one buys a single stock as a “portfolio”; why a single token?)\n* **Paying Unnecessary Fees:** Coinbase/Robinhood takes a massive cut out of yields, don’t let you lend/borrow at market rates, and have high trading fees.\n\n**Net:** The best opportunities are in DeFi, but people miss out on common-sense optimization, true diversification, and lower fees, because DeFi is fragmented and confusing.\n\n**💰Our Solution** \n\n* **Unify DeFi in One Place:** Freeport integrates trusted protocols on one page.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/f7aad792-d924-4859-aaeb-f992dfb18b5d)\n\n* **Signal Over Noise:** We separate **treasure from trash** with a rigorous screening framework (see below) so nothing you buy here is a scam / rugpull.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/8cdbb09d-c8b3-4aef-98e1-e483ac16a014)\n\n* **Yield on Resting Assets:** Put idle holdings to work in battle‑tested & audited opportunities with transparent sources of return.\n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/d4c8feb7-9589-48ab-9e8b-a5708f1d0899)\n\n* **Real Diversification:** Allocate across chains, sectors, and risk factors in a single, simple flow using a framework supported by rigorous statistical inference (see below)\n\n \n\n![uploaded image](/media/?type=post&id=94762&key=user_uploads/2929506/936963cf-a58a-48f1-8d6b-611da05e7433)\n\n* **No Management Fees + Lowest Trading Costs:** We find the best possible path to route your order to minimize slippage and MEV (see below).\n\n🏦**Our Mission**\n\nBring value and science-based “quantamental” investing to crypto, so people view it as the legitimate long-term asset that it is, not a day-trader’s playground. We combine rigorous screening and factor/sector diversification to filter noise and compound value over time.\n\n**⛵Chart Your Course With Freeport** \n\n* Freeport is made for all long-term investors who want durable yield, smartly diversified portfolios, and explainable risk that drives compounding returns. \n* Get started today at [**freeportmarkets.com**](http://freeportmarkets.com), share us with friends who may be interested, and let us know about bugs / feature requests that you may have! \n* Reach us at [lihong.wang@freeportmarkets.com](mailto:lihong.wang@freeportmarkets.com) & [bryan.reed@freeportmarkets.com](mailto:bryan.reed@freeportmarkets.com).\n\n \n\n### **⚙️Appendix: How It Works**\n\n* [**Research-Backed Curation**](https://www.freeportmarkets.com/reference/Investable%20Universe%20Methodology.pdf)**:** To ensure that tokens that we support are legitimate, we operate inside only the top 250 by market cap and screen for real tradability. \n* [**Economic Diversification**](https://www.freeportmarkets.com/reference/Digital%20Asset%20Taxonomy.pdf)**:** We classify assets by their orthogonal drivers of returns: Settlement (execution/scaling vs. monetary), Infrastructure & Interoperability, DeFi/CeFi, Culture & Entertainment, DePIN & Resources, plus Stablecoins & RWA. \n* [**Factor Tilts**](https://www.freeportmarkets.com/reference/Quantitative%20Framework.pdf)**:** We track seven factors, market, size, value, momentum, growth, downside beta, liquidity, and prioritize momentum (best out-of-sample), with value & growth as corroborating signals; low-to-moderate correlations improve diversification.\n\nWe pair a disciplined universe + sector taxonomy with data-driven quantitative factors + human-expertise to construct recommendations and strategies that moves portfolios away from single-asset concentration toward repeatable, explainable, multi-factor returns, at [**freeportmarkets.com**](http://freeportmarkets.com)**.**", "url": "https://www.ycombinator.com/launches/OeQ-freeport-intelligent-defi-investment-platform", "votes": 141, "created_at": "2025-10-20T14:16:38.770Z" } ] }, { "id": 30982, "name": "Boom AI", "slug": "boom-ai", "former_names": [ "BOOM" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e240d7b6e048d06c397f1f72707e3cd4fc0ad63d.png", "website": "https://useboom.ai", "all_locations": "Mexico City, CDMX, Mexico", "long_description": "Boom reaches out to your customers before you lose them.\r\n\r\nWe run proactive outbound conversations at scale: recovering churned users, re-engaging drop-offs, and protecting revenue you thought was gone. AI agents hold real conversations with your customers over SMS, email, WhatsApp, or phone, in their language, on the channel they actually answer.\r\n\r\nEvery month, companies lose 5-15% of revenue to churn, and more walks out through abandoned signups and failed onboarding. The tools built to fix this don't work. Win-back emails get ignored. Cancel flows only catch people at the door. Hiring humans doesn't scale. Boom does the one thing that works: a real conversation. 1,000x the reach of manual outreach, and the customer can reply.", "one_liner": "AI agents that recover lost revenue through real conversations.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760834768, "tags": [ "B2B", "E-commerce", "SMB", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Mexico", "Latin America" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/boom-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/boom-ai.json", "year_founded": 2025, "city": "Mexico City", "country": "MX", "linkedin_url": "https://www.linkedin.com/company/use-boom-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e240d7b6e048d06c397f1f72707e3cd4fc0ad63d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ee732e3faf9837d6ff5ca0af0e79a0518b27f5da.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 360287, "full_name": "Juan Casian", "title": "Founder/CEO", "founder_bio": "I’m the Co-Founder and CEO of Boom, where we’re building the AI employee layer for e-commerce: virtual agents that help brands close more sales by automating customer interactions. Before this, I dropped out of college to build Atrato (YC W21), one of Latin America’s leading Buy Now Pay Later companies, which I scaled from 0 to ~$20M in annualized revenue before it was acquired. I started as CTO and became CEO, which made learn how to sell, lead, and scale.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juancasian/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/665d76d7f8d42223d0762ac9ed7d3caa0854af19.jpg" }, { "user_id": 1178072, "full_name": "Sergio Garcia", "title": "Founder", "founder_bio": "I’m the Co-Founder and CPO at Boom, where I lead product and turn complex tech into simple, delightful experiences. Before Boom, I was CTO at Atrato (YC W21), scaling one of Latin America’s top BNPL platforms from the ground up. I studied Mechatronics Engineer at ITESM, grew from a self-taught programmer into CTO, and stay driven by building products people love. Former third-division soccer player, now a marathon runner. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sergiogarciaglz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea13d439ea7339629587e36bef690f23fcdc47aa.jpg" }, { "user_id": 623803, "full_name": "Jose Toscano", "title": "Founder/CTO", "founder_bio": "I’m the Co-Founder and CTO of Boom, where I lead our AI efforts and tackle the hardest technical problems behind the product. Before Boom, I was the first engineer at Atrato (YC W21), helping scale a BNPL platform that processed millions in loan applications each month. I hold a double major in Mechatronics (ITESM) and Automation (Hochschule Esslingen). I focus on practical AI that drives business results. I also do hackathons for fun and have won six recently. Outside work I code side projects", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josecarlostoscano/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e6720dc9ea64d5d3ab17a8c6b57cb20a18e87c7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94838, "title": "Boom AI: Your AI Growth Team for E-commerce Brands 🚀", "tagline": "Turn lost interactions into sales with your 24/7 AI team.", "body": "**TL;DR** – Boom is your AI growth team for e-commerce that handles sales, support, and retention automatically. Most brands focus on bringing visitors to their site, only to lose 99% of them before checkout. Boom changes that. Our AI replies to customer questions instantly over Whatsapp, Instagram, Facebook, and Web Chat. We also proactively reach out to customers by reminding them about abandoned carts and making personalized product recommendations. We've already become a top-five sales channel for our first customers.\n\nhttps://youtu.be/IwUjEDUdUVY\n\nMost e-commerce brands don’t lose customers because of bad products. They lose them because no one replies fast enough. 56% of all customer interactions happen outside working hours, and most go unanswered.\n\nBoom gives every brand its own AI sales, support, and marketing team that works 24/7. It answers product and order questions, follows up on abandoned checkouts, notifies customers when items are back in stock, and runs personalized campaigns that bring them back to buy again. There’s no setup required. Just install Boom, and we’ll handle everything. Then sit back and watch as your AI team starts working for you.\n\nIn a short time, Boom has already become a top-five sales channel for our first customers. By personalizing every conversation, it turns missed messages into sales and long-term customer relationships.\n\nE-commerce is a **six-trillion-dollar industry** where most stores still lose 99% of visitors. Boom helps brands change that by making every interaction personal, instant, and effective.\n\nIf you’d like to see Boom in action, email me at [**juan@useboom.ai**](mailto:juan@useboom.ai) or book a demo at [https://**useboom.ai**](https://useboom.ai).\n\n![uploaded image](/media/?type=post&id=94838&key=user_uploads/360287/8665b7ce-5779-46fd-8fc5-c9c1180f7459)\n\n", "url": "https://www.ycombinator.com/launches/Ofe-boom-ai-your-ai-growth-team-for-e-commerce-brands", "votes": 12, "created_at": "2025-10-23T06:31:28.351Z" } ] }, { "id": 30983, "name": "Layers", "slug": "layers", "former_names": [ "Telemetron" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0392f6cc4b38e3757dfde807152e63044285166f.png", "website": "https://www.layers.bio/", "all_locations": "San Francisco, CA, USA", "long_description": "Improving how you look and feel leads to better outcomes in life (career, relationships, first impressions, opportunities, etc). \r\n\r\nImproving your health and appearance is an engineering problem - the body can be optimized like any other system", "one_liner": "Improve your appearance by measuring, understanding, and tracking…", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1759807426, "tags": [ "Consumer Health Services", "Health Tech", "Beauty", "Health & Wellness", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/layers", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/layers.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/layersbio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0392f6cc4b38e3757dfde807152e63044285166f.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": 1382504, "full_name": "Shivani Patel", "title": "Founder/CEO", "founder_bio": "quantifying every layer of the human body", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivanijpatel/", "x_url": "https://x.com/shivanijpatel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dfcd059dae3f81253fad3c346d3a059172c9de40.jpg" } ], "jobs": [ { "id": 86797, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/layers/jobs/RPmWQ5c-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $180K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "React Native", "TypeScript", "Machine Learning", "Design systems", "Next.js" ] } ], "news": [], "launches": [ { "id": 95195, "title": "Telemetron: The Support Platform that Understands Hardware", "tagline": "Product Support, Troubleshooting, and Debugging for Hardware Companies", "body": "![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/8e149fc6-6d08-468e-9867-3f7e72a234c9)\n\n### The Team:\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/e6ac658e-26f8-4e6f-959c-5af6bd9b7c6c)\n\nShivani and Hamza worked together at SpaceX on the Starlink Software team. \\\n\\\n**Shivani:** \\\nShivani was the first software engineer on the Starlink customer support team. She built all the AI support software tooling from scratch as a solo-engineer. She built the Starlink app/web chatbots, an AI copilot for internal teams and support agents, a telemetry enabled root causing system, and much more! She helped take AI automation at Starlink from 0 to 70%. \\\n\\\n**Hamza:** \\\nHamza built internal tooling to manage Starlink’s multi-billion dollar ecommerce flow and solved global customer issues. He built the internal localization framework, payments infrastructure, SEO, content management, and much more\n\n### The Problem:\n\nFor hardware products, post-sales support is more than just replying to emails and working tickets. **50-80% of customer issues are tightly coupled with what is happening on devices.** Resolutions require in person service, warranty checks, returns & replacements (RMAs), video calls, and root-causing defective hardware.\n\nAt SpaceX, we evaluated over 20 customer support companies and ended up needing to build our own. When talking to other hardware companies, we found every hardware company faces the same problem.\n\n1. **Support agents aren’t technical enough to troubleshoot.** _Companies have to provide extensive training to prevent escalations to software / hardware teams_\n2. **Legacy support software like Zendesk / Intercom are built for b2b SAAS.** _Hardware companies are forced to build software tools from scratch_\n\n### The Solution:\n\n# Telemetron: End-To-End Support Platform for Hardware Companies. We handle product support, troubleshooting, field service management, and more.\n\n\\\nhttps://youtu.be/817uAVqoOWY\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/5aeda9dc-ee66-4b9e-853d-d7d9be0f83b2)\n\n**Internal Agent Copilot:** \\\nIntegrations to connect your AI agent to your device telemetry, 3PL systems, ecommerce flows, and everything else needed to run a hardware company post-sales. Our agents are built to process and debug complex hardware data and docs.\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/0c96b639-b1db-49e1-b7e2-2598249f587e)\n\n\\\n**Modern, Hardware-Friendly Customer Help Center + Chat:** \\\nHelp Center and AI Chatbot that’s built for hardware. AI Agents that understand firmware revisions, product manuals, design docs. Easy to add pictures and videos for setup guides, troubleshooting docs, and product manuals\n\n![uploaded image](/media/?type=post&id=95195&key=user_uploads/1382504/136d1d3f-24f1-4373-bac3-c22b071ca3a1)\n\n**And so much more!**\n\n* Field Service Management: Software tools for technicians providing in person support for hardware devices\n* Warranty Eligibility and Management software\n* RMA Eligibility and Management\n* Hardware evaluations Post-RMA\n* Omni-channel support (phone, email, text with i-Message, video calls)\n\n### Let's Talk!!\n\nIf you’re building hardware products, let’s talk! Feel free to book a demo [here](https://calendar.app.google/AHhzPK3LRhwZFBHC6)\n\nIf you have hardware products you love, but the customer support sucks, tell us about it [founders@telemetron.ai](mailto:founders@telemetron.ai)\\\n\\\nhttps://youtu.be/9Om9a2DVN6Q", "url": "https://www.ycombinator.com/launches/OlP-telemetron-the-support-platform-that-understands-hardware", "votes": 193, "created_at": "2025-11-05T17:41:45.019Z" } ] }, { "id": 30986, "name": "The Hog", "slug": "the-hog", "former_names": [ "TheHog" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ba9edbf42a04ad97bf80ea5c1940458e14f3f70.png", "website": "https://thehog.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "One API to search, enrich, and monitor the web.\r\n\r\nAn agent is only as good as the data it runs on. Most agents and GTM tools today are stuck pulling stale, fragmented data from a dozen different providers, which caps how good their output can ever be. We unify all of it behind one API.\r\n\r\nOne credit-based API covers people data, company data, web search, deep research, news, social signals, and web scraping. Multi-provider waterfall logic routes each call to the best source and falls back automatically, so you get one integration and one bill instead of stitching together Clay, Apollo, Exa, Tavily, and a handful of others.\r\n\r\nWe're building the data layer that agents and GTM teams plug into to find, understand, and reach their customers.", "one_liner": "Real-time web intelligence API for AI agents and GTM teams", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1761945756, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/the-hog", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/the-hog.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/thehogai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ba9edbf42a04ad97bf80ea5c1940458e14f3f70.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": 1556892, "full_name": "Hudson Liao", "title": "Founder/CEO", "founder_bio": "Hudson Liao is a growth operator with nearly 15 years in GTM and a 5× first growth and marketing hire. He took one startup from ~$900k to $7M+ ARR in 3 months, led another from two months of runway to profitability, and built repeatable playbooks across search, social, outbound, partnerships, and product-led motions. He is the GTM person you call when outcomes matter.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hudsonliao/", "x_url": "https://x.com/hudsonliao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1e1f9489a186218059b875876ccf6499e3ba559a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95315, "title": "The Hog: AI Native Go-To-Market Command Center", "tagline": "One person unlocks the power of entire sales and marketing teams", "body": "_“Ah, this is f\\*\\*\\*\\*\\*\\*\\* good, dude. You really have done something here. I’m serious. Like look at the level of insight of this.”_ - David (from current customer; actual response will differ between users)\n\n**TL;DR**\n\nIt’s like the Google Maps for customer acquisition: The Hog finds the most optimized ways to reach your customers. \n\nIt gives one person the power of an entire sales and marketing team. It compresses research to execution from hours to minutes.\n\n**Our Vision**\n\nWe believe the future of go-to-market is not dashboards. It is a command center where sales, marketing, and growth work together on the same platform with the same data.\n\nShared context creates faster decisions, cleaner execution, and fewer handoffs. This is how teams stay ahead and keep adaptive go-to-market playbooks dynamic, updating in real time as the market moves.\n\n**The Hog: Promo Video**\n\nhttps://youtu.be/jfcAEhqrJN0\n\n**Why the ‘The Hog’?**\n\nThe Hog stands for Head of Growth (Hog), literally. It’s the dream tool our team wished we had when we scaled a startup from \\~$900k ARR to $7M+ in 3 months as a solo growth hire, and helped pivot a company to profitability with only two months of runway left.\n\n**What we built**\n\nOur AI-native go-to-market command center, where you control an army of AI sales and marketing co-pilots to constantly monitor your market, identify opportunities, and generate actionable game plans to connect with your potential customers. \n\nYour customers engage outside of LinkedIn and Inboxes. The Hog continuously maps your ICP, channels, and opportunities, spots shifts in the market, and stack-ranks what to do next based on goals and constraints. \n\n**What can it do now?**\n\n* Find where your ICPs spend time and how they behave across channels\n* Generate tactical game plans with ranked next actions\n* Market research and trend analysis\n* Automated daily competitive and market monitoring\n* Social listening for relevant topics and keywords across Reddit, LinkedIn, X, forums, and review sites\n* Strategic messaging and positioning suggestions\n* Create and manage company ‘Brand and Messaging Guide’\n* Personal brand building\n* SEO research plus blog and content drafts\n* Digital marketing and PPC planning with keywords and budgets\n* Auto-draft comments, posts, and replies for social engagement\n* Thought leadership content for founder-led growth\n* Brand awareness tracking and sentiment listening\n* Channel strategies for Reddit, LinkedIn, and X\n* Auto drafts for organic social and community engagement\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/a01fcab0-7dfd-4674-bb64-a2a7b81d7d8b)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/a5eebd92-cae5-42d4-8beb-31248e5495c8)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/07391000-f434-4481-9c8b-557dd6f31ac8)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/5d472533-57d9-4b41-85e9-725157f6d66b)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/bcfa0769-03bd-48b3-807e-0b30ebce3f48)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/f31cf377-0e0a-4f45-98bb-1de15c0b541c)\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/dcf0b109-793b-4867-87aa-a70a3377279e)\n\n**Why now?**\n\n“The best product doesn't always win. The one everyone uses wins.” - Andrew Bosworth\n\nAI has shortened the time to build new products and features, so companies must find traction faster. Standing out in a crowded market is harder and more important than ever. Startups need to reach real customers quickly to find PMF and scale, and they must do it beyond saturated channels like LinkedIn and email.\n\n**Who is it for?**\n\n* Anyone who needs a fractional Head of Growth or CMO co-pilot\n* Teams looking to consolidate their marketing and sales tech stack\n* Solo founders and lean teams that need to find PMF and traction faster\n* Startups that want to meet customers where they actually are and engage with their communities\n* Companies moving to a true multi-channel motion and looking for acquisition paths beyond paid ads\n* Teams that want to grow brand awareness while automating founder-led content and engagement\n\n**Try risk-free:** visit[ https://thehog.ai/](https://thehog.ai/) and create an account today!\n\n![uploaded image](/media/?type=post&id=95315&key=user_uploads/1556892/82e6aa58-0a5f-4b6b-b181-0fca61fcc602)\n\n", "url": "https://www.ycombinator.com/launches/OnL-the-hog-ai-native-go-to-market-command-center", "votes": 101, "created_at": "2025-11-07T23:15:25.880Z" } ] }, { "id": 30987, "name": "Lightberry", "slug": "lightberry", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.png", "website": "https://lightberry.com", "all_locations": "San Francisco, CA, USA", "long_description": "We build brains for robots.\r\n\r\nWe work with manufacturers like Unitree to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\r\n\r\nRobots running Lightberry are emotionally intelligent, always on, and fully autonomous. Just like in Star Wars!", "one_liner": "Robots with soul", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1761343459, "tags": [ "Hard Tech", "Hardware", "Robotics", "Design", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lightberry", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lightberry.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lightberryinc", "x_url": "https://x.com/lightberry", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e293e7e459ca366271fd5317cd8af37ed2cd6625.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": 255747, "full_name": "Ali Attar", "title": "Founder/CEO", "founder_bio": "Founder @Lightberry (F25) 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/attarali", "x_url": "https://twitter.com/aliatttar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc8e4cc390f95fd1cb22381c69d3e994240bed1e.jpg" }, { "user_id": 187048, "full_name": "Stephan Koenigstorfer", "title": "Founder/CTO", "founder_bio": "Founder @ Lightberry 💛", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephankoe", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a8868edb0a4206fafe6b4d0157e327fe6e9b1dd.jpg" }, { "user_id": 2052513, "full_name": "Stephan Wolski", "title": "Founder/Head of Robotics", "founder_bio": "Self driving cars, trucks, and humanoids.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephan-wolski/", "x_url": "https://x.com/StephWolski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aaf21d7f88280fe68894078fb1ca2cae4d0b2bd0.jpg" } ], "jobs": [ { "id": 90164, "title": "Senior/Staff Software Engineer, Voice AI", "url": "https://www.ycombinator.com/companies/lightberry/jobs/J1rOMLl-senior-staff-software-engineer-voice-ai", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $280K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 90199, "title": "Robotics Engineer", "url": "https://www.ycombinator.com/companies/lightberry/jobs/zMM4MQ4-robotics-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$150K - $225K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 95161, "title": "Lightberry - Robots with Soul", "tagline": "We’re building brains for robots - so they can talk, act, listen and feel. ", "body": "![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/b726300c-0e1d-4190-87ac-44a8bc4a2ed3)\n\nGreetings dear humans – we’re building **Lightberry: the social brain for robots.**\n\nWe work with manufacturers like Unitree and Booster to make robots listen, speak, and act. You can program your robot out of the box by literally talking to it, no coding involved.\n\nRobots running Lightberry are:\n\n* emotionally intelligent\n* always on\n* fully autonomous\n\nJust like in Star Wars!\n\nhttps://www.youtube.com/watch?v=aJZ3pcFyfg4\n\n### **Why?**\n\nWe’ve seen robots on stage: folding laundry, serving popcorn, doing backflips… But before robots get deployed in homes, offices, and shops, they need to become good at **interacting with people**.\n\nSlapping ChatGPT realtime on it is not enough, every manufacturer tried that already. It responds to every little noise, lacks personality, and needs to be teleoperated.\n\nLightberry makes robots **contextually aware**, **customizable**, and **autonomous**.\n\n_We’ll let our robot Mini-Pi say it in its words:_\n\n[**https://youtu.be/e1gD57WY74s**](https://youtu.be/e1gD57WY74s**)\n\n### **Is it just a voice pipeline on top of a robot?**\n\nNo. Lightberry robots have agency. They **decide** when they want to speak or move. Our robots can **see the world** around them, **navigate it** without hitting obstacles, and have an internal **monologue of thoughts**.\n\n_Here’s our robot Koko’s hot-take:_\n\n[**https://youtu.be/Y7SN58Cdvs4**](https://youtu.be/Y7SN58Cdvs4**)\n\n### **What can your robots do?**\n\nRobots running Lightberry are being deployed to interact with people: homes, offices, shops, conferences, etc. Our software works on many different robots: Unitree G1, Fourier GR-2/N1, Booster T1/K1, High Torque Mini-Pi/Mini-Pi+ …\n\n_Here are a few robots we’ve deployed Lightberry on – meet Koko, Synthia, Alfred, Blake, Minnie, and Bradford:_\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/60dd09f1-41ed-488c-bb73-546727f5d606)\n\n### **Ask**\n\n**We want to deploy as many robots in the real world as possible.** If you want to:\n\n* Hire a robot for a people-facing gig (conference, sales, marketing, receptionist, concierge…)\n* Integrate Lightberry into your robot (if you’re building hardware!)\n\n**Please email us at [founders@lightberry.com](mailto:founders@lightberry.com).**\n\nThanks,\n\n[**@Ali Attar**](https://bookface.ycombinator.com/user/255747) & [**@Stephan Koenigstorfer**](https://bookface.ycombinator.com/user/187048)\n\n![uploaded image](/media/?type=post&id=95161&key=user_uploads/187048/c6837400-65bf-4cb7-a943-52615e648ae8)\n\n_Yes, it walks around me!_", "url": "https://www.ycombinator.com/launches/Okr-lightberry-robots-with-soul", "votes": 178, "created_at": "2025-11-04T17:34:27.623Z" } ] }, { "id": 30989, "name": "Bluma", "slug": "bluma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb4b30a87ff49eecaaa2a8e93e689ddecfde446.png", "website": "https://www.getbluma.com", "all_locations": "San Francisco, CA, USA", "long_description": "Bluma is the first AI short form content engine.\r\n\r\nIn a post-AI world, attention is the most valuable commodity. Social media is only growing faster and faster, and we're still early.\r\n\r\nWe automate your entire consumer marketing strategy by cloning your competitor's viral videos.\r\n\r\nEverything that a growth team would plan, script, produce, and edit, Bluma can clone end-to-end and at scale.", "one_liner": "Canva for short-form video ads", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1758933765, "tags": [ "B2B", "Social Media", "Video", "Marketing", "Advertising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/bluma", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bluma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bluma-ai", "x_url": "https://x.com/getbluma", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fb4b30a87ff49eecaaa2a8e93e689ddecfde446.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f9dbfd5145eeef3c6b58d35f20fa27a28228cd40.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2724981, "full_name": "Alisa Wu", "title": "Founder/CEO", "founder_bio": "Co-founder of Bluma. Featured on NYT and San Francisco Chronicle. Prev UWaterloo Engineering & self-driving SWE at Zoox (Amazon).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/wu-alisa/", "x_url": "https://x.com/_alisawu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2d7fc8cfec0d423a6a3d0daf9e6d01f9d938f23f.jpg" }, { "user_id": 3002857, "full_name": "Stephen Ni", "title": "Founder/CTO", "founder_bio": "Building Bluma, dropout @ uWaterloo, I like playing chess :)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-ni/", "x_url": "https://x.com/stephen_turtles", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eb0116d8324e832e3eba7673f064b6bd40011ac.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98704, "title": "Bluma - AI UGC Maker", "tagline": "Clone winning organic and paid ad video/slideshows", "body": "Hey YC!\n\nWe're Alisa and Stephen.\n\nSuper excited to introduce Bluma - the all in one platform for AI UGC that clones winning organic and paid ad video/slideshows.\n\nIt allows you to remix content with a built in video editor and node-based canvas workflows.\n\nWe are the first to crack de-editing - cutting each scene, removing and then adding back on caption, text and on screen image popups.\n\nNo need to switch between different models and creative platforms to compile clips/assets.\n\n**Problem**\n\nUGC is very time consuming and requires recruitment, week long back and forths and expensive retainers/per video fees.\n\nOftentimes for both organic and paid, the best way to find a format is to copy adjacent competitors and remake their script/visuals exactly.\n\nThe whole process end to end is extremely long and expensive, ranging from researching, briefing, sourcing, reviewing, editing, making variations and distributing.\n\n**Solution**\n\nWe believe that AI footage is getting and will continue to get so good that both will converge and be indistinguishable. As such, we can help bring together the whole marketing stack into one platform where all you need is a really good prompter and taste.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/abcdeafe-fa89-4ddc-a571-70e9c7b880e5)\n\nLet's say you want to recreate a winning UGC skincare ad. You can first take the URL and automatically de-edit each scene, captions, text and photo overlays. Then, you can use our asset maker to recreate all the shots exactly.\n\nThen you can save all your workflows as templates in our node based canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/758866c5-48a3-47c4-b396-723ed16f203f)\n\nWe allow you to split screen to work between assets and editing seamlessly - including a creative agent and capabilities like auto captioning.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/dc015a6b-b975-47ed-94bf-ae78dfe24ae2)\n\nYou can also clone slideshows and create multiple variations in one canvas.\n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/cf3abd59-aede-4eb9-a48c-0033bd3c007c)\n\n**Our ask**\n\nWe'd love for you to try out our product! It is still in beta and any type of feedback is greatly appreciated. There is no waitlist or paywall and you can try starting today at .\\\n\\\nLinkedIn: [https://www.linkedin.com/company/bluma-ai](https://www.linkedin.com/company/bluma-ai/)\\\nTwitter: \n\n![uploaded image](/media/?type=post&id=98704&key=user_uploads/2724981/4e8170c8-5ad0-44ab-bf86-58710f4e77dd)\n\n", "url": "https://www.ycombinator.com/launches/Pg0-bluma-ai-ugc-maker", "votes": 12, "created_at": "2026-03-12T15:09:58.820Z" }, { "id": 95662, "title": "Bluma: The AI short form content engine", "tagline": "Your entire consumer marketing strategy run with content templates", "body": "Hey all - this is [Alisa](https://www.linkedin.com/in/wu-alisa/) and [Stephen](https://www.linkedin.com/in/stephen-ni/) from Bluma!\n\n**TL;DR** Bluma automates your entire consumer marketing strategy with content templates - a library of automated video workflows that turn scripts and assets into finished videos at the click of a button.\n\n[https://youtu.be/Pi69Jd-fnok](https://youtu.be/Pi69Jd-fnok%5C)\n\n\\\n**Problem**\n\nIf you’re building in consumer, you know that it is super hard to get eyes on your product.\n\nIn a post-AI world, attention is the most valuable commodity. Social media is only growing faster and faster, and we're still early.\n\nShort form has a high barrier of entry due to cost (UGC costs $35/video + $1 CPM, editors are $50/video) and operations as shown below:\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/ade8a7fd-4114-4164-ae5c-f0b389922684)\n\n**Solution**\n\nInstead of manually assembling a video in CapCut, Bluma works like this:\n\n1. Create template format by chatting with AI\n2. Generate videos on autopilot\n3. Push traffic to product/service\n\nOur biggest client runs 8 templates across 16 accounts, posting 2x daily. Bluma is growing 100% w/w and went from 0 to 28k MRR in 4 weeks.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/c5fd4e08-2eb3-4c12-80ea-bcf74db92c92)\n\nUsing templates, we can replicate proven formats and A/B test scripts for you cheaper, faster and more scalable than human creators (UGC, editors).\\\n\\\n**Our Vision**\n\nMake video effortless and accessible to anyone through (video automation) templates.\n\n**Team**\n\nAlisa was the youngest engineer at 19 working on self-driving at Zoox. Stephen scaled payment infrastructure to millions at Shopify. Having generated over 6.7M views and been featured on New York Times, we have taste for scalable virality.\n\nWe met 3 years ago when we snuck into the Collision Tech Conference and spent the entire summer building in WeWork offices before both heading into the University of Waterloo. Dropped out and planned to bootstrap until we applied 21 days late and went into YC F25.\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/cc17438d-9b2f-46a2-8827-2d2f96863dba)\n\n**Our Ask**\\\nIf you’re looking to start or scale your editing pipeline with templates, contact us at https://getbluma.com/book-a-call\n\nWarm intros to your cap table investors in the video or marketing space!\n\n![uploaded image](/media/?type=post&id=95662&key=user_uploads/2724981/7db5999c-dddc-41ca-95f1-31c39b7889af)\n\n", "url": "https://www.ycombinator.com/launches/Osw-bluma-the-ai-short-form-content-engine", "votes": 27, "created_at": "2025-11-20T18:51:47.338Z" } ] }, { "id": 30991, "name": "Forge Robotics", "slug": "forge-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.png", "website": "https://forge-robotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Forge Robotics is changing the way that metal parts are fabricated. We are enabling a future where our intelligent robotic system completes all steps needed to take raw metal stock and transform it into fully welded parts. \r\n\r\nBeginning with welding, we are building a robot-mounted vision system and AI feature detection that creates a real-time 3D map and tells the arm exactly where to go at every instant.", "one_liner": "A robotics intelligence system for metal fabrication", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1762659715, "tags": [ "Robotic Process Automation", "Robotics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/forge-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/forge-robotics.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/forge-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc718543c8da7c7d1c6d5308ecd4cde3ca18269c.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": 2972389, "full_name": "Robert Cormican", "title": "Founder/CTO", "founder_bio": "CEO and Founder of Forge Robotics. With a deep background in Mechatronics, Image Quality and Computer Vision and Silicon Development/Semiconductor Manufacturing", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robert-cormican-a4405990/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60f5c6a0a8856605cc957c1a4ba6d20ea552717d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95362, "title": "Forge Robotics - The Future of Manufacturing", "tagline": "Forge Robotics gives manufacturing companies the ability to make parts fully autonomously", "body": "Hey everyone, we’re [Eoin ](https://www.linkedin.com/in/eoincobbe)and [Robert](https://www.linkedin.com/in/robert-cormican-a4405990), co-founders of Forge Robotics.\n\nWe are completely changing the way that metal fabrication is done. Companies can no longer afford to deal with massive labour shortages and rising costs of outdated processes. Forge is on the journey to enable companies to take in raw stock metal and output completed metal parts without human intervention.\n\n# TL;DR\n\nForge is building a system that turns dumb, human-programmed industrial welding robot arms into autonomous members of the workforce.\n\nFrom here, we will deliver autonomous factory units that handle all processes in metal fabrication, from handling cut parts and positioning them for assembly, to welding and cleaning up final assemblies.\n\nTo get involved, contact us @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nhttps://www.youtube.com/watch?v=5vxp75bUlIY&t=38s\n\n# 🏭 The Problem\n\nManufacturing is an industry that has been all but left behind for the past 20 years compared to the advances in software development, self-driving vehicles, and all other fields that AI has revolutionised.\n\n**Labour shortages**\n\nManufacturing of defence equipment, construction machines, and automotive make up the backbone of much of the American economy. In the U.S, there are 400,000 unfilled welding positions, and that is expected to rise to 600,000 by 2030.\n\n**Push to reshore**\n\nOEMs and Tier 1 manufacturers are pushing to reshore their manufacturing, but traditional methods of operation mean that they are failing to operate profitably when competing with manufacturing in offshore economies.\n\n**Failure of current automation**\n\nCurrent industrial robots can only achieve a very narrow set of well-defined manufacturing tasks because of the way robots are programmed. Traditionally programmed welding robots end up with around 10% of parts needing rework due to the delta in geometry from part to part.\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/eb13105f-47fa-4312-b8c7-185ecac7e04a)\n\n# 🦾 Our solution\n\nForge provides a vision system and robotic intelligence that creates a sub-mm map, identifies all features and weld seams, and autonomously controls the welding robot arms.\n\nMetal fabrication companies will now:\n\n* No longer have to **manually program** robotic arms\n* Achieve **99% first pass line yield**, up from the current 90%\n* Use robotic welding arms in many previously infeasible situations\n\n![uploaded image](/media/?type=post&id=95362&key=user_uploads/2795202/82ef4c04-835c-4a20-a6b6-85698177d54b)\n\n# ♾️ Fully autonomous production\n\nUsing the manufacturing intelligence system that we are working on for factories today, we will be delivering fully autonomous modular factory units that handle all of the metal manufacturing processes to take raw steel parts to finished welded assemblies. Saving companies **Tens of millions** per year by changing the way they manufacture.\n\n# 🤝 Ask\n\nCan you introduce us to companies in the metal manufacturing industry? We are currently taking on as many pilot customers as we can!\n\nIf this is a future that excites you and you want to find out how you can be part of it 👉Contact Eoin @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nFind out more @ [www.forge-robotics.com](https://forge-robotics.com/)", "url": "https://www.ycombinator.com/launches/Oo6-forge-robotics-the-future-of-manufacturing", "votes": 285, "created_at": "2025-11-10T15:00:31.012Z" } ] }, { "id": 30992, "name": "Amera", "slug": "amera", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/07c1dd923ce928d5a06d772f09a234366daa3513.png", "website": "https://amerahealthsolutions.com/", "all_locations": "New York City, NY, USA", "long_description": "Amera automates claims processing for health insurance payers. We turn messy claim inputs (PDFs, bills, receipts, EDI and non-standard submissions) into structured data that plugs into existing systems. This cuts manual entry and exception handling, speeding up operations and reducing cost.\r\n\r\nWe are already working with payers / plan administrators representing ~100k members, giving them access to more affordable care options.", "one_liner": "Automating claims processing workflows for health insurance payers.", "team_size": 12, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1762373612, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/amera", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/amera.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/amerahealthsolutions", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/07c1dd923ce928d5a06d772f09a234366daa3513.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2218f6504fbb0a874bfbfd62ac4a5feb2973f75a.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2745859, "full_name": "Deep Kapur", "title": "Founder/CEO", "founder_bio": "Building infrastructure to make health plans more cost-effective. Background in distributed systems, cloud infra, and healthtech. Previously product lead for market expansion at Rupa Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/deepkkapur/", "x_url": "https://x.com/deepkkapur", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aaae77fd43441ccb1d6b1bba7732cc1c69373886.jpg" }, { "user_id": 273206, "full_name": "Louise Tanski", "title": "Founder", "founder_bio": "Cofounder of Amera. \n\nBuilt my first company, an analytics platform for eCommerce brands, in college and sold it to Moonshot Brands. Led core product at Rupa Health. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/louise-tanski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/80531531cf060a8be3a9604a6b560bbe2ca275aa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95250, "title": "Amera - Automating health insurance claims processing", "tagline": "Amera automates claims processing workflows for health insurance payers, cutting manual work and reducing cost.", "body": "Hey everyone, we’re [Deep](https://www.linkedin.com/in/deepkkapur/) and [Louise](https://www.linkedin.com/in/louise-tanski/), co-founders of [Amera](https://amerahealthsolutions.com/).\n\n**TL;DR:** Amera automates claims processing workflows for health insurance payers: \n\n* Reducing plan admin costs by 20-30%\n* Processing claims in minutes vs weeks\n* Providing members with clarity and confidence in what’s covered and what they owe\n\nWe are already working with payers representing tens of thousands of members, giving them access to more affordable and transparent care options.\n\n![uploaded image](/media/?type=post&id=95250&key=user_uploads/2745859/a9f8a106-37a8-4025-84d7-96858702f15d)\n\nhttps://youtu.be/iSqBPqwWwAA\n\n**Healthcare in the US costs way more than it should.**\n\nHealth insurance costs are rising twice as fast as inflation. American families now pay over $30,000 a year for coverage they’re unhappy with. 160 million Americans get insurance through their employer, and to control these costs, many large companies (>250 employees) [self-insure](https://www.healthcare.gov/glossary/self-insured-plan/) - they pay employees' medical claims directly instead of buying traditional insurance from carriers like UnitedHealth or Cigna. But the infrastructure powering these plans is decades old - some core systems still run on COBOL. This legacy stack makes operations manual and expensive, blocking adoption of affordable plan designs or AI-driven automation that could lower costs.\n\n![uploaded image](/media/?type=post&id=95250&key=user_uploads/2745859/82de5250-de61-4b34-9ab4-f0d48503615e)\n\n**Amera is building the modern system-of-record for health insurance administration.** \n\nAmera converts messy claims data from any source into structured data that existing systems can use. From there, we automate repetitive back-office work - validation, reconciliation, and stop-loss reporting - cutting manual effort from hours to seconds and making the processes transparent for the first time.\n\n![uploaded image](/media/?type=post&id=95250&key=user_uploads/2745859/2670349e-9739-426a-b8d2-1c6986a6edfc)\n\nWhy is this hard? Health insurance tech has loose standards. Every plan runs on bespoke systems that cannot talk to each other. Claims arrive in hundreds of formats - EDI, PDFs, fax, proprietary systems - making automation nearly impossible without a unified data layer.\n\nWe’ve built the most comprehensive set of schemas for healthcare docs, designed to map to hundreds of custom formats and be fully interoperable. This makes it easy for us to layer new automation on top of existing systems. \n\n**Team**\n\n![uploaded image](/media/?type=post&id=95250&key=user_uploads/2745859/d1d0a543-8c24-4992-a152-a943133917c6)\n\nWe both went to Penn and later worked together at Rupa Health, where we saw firsthand how outdated health insurance infrastructure makes it nearly impossible to deliver affordable, flexible coverage. \n\nWe’re second time founders that have built and exited companies in workflow automation and healthtech, and spent months working with payers and plan administrators before starting Amera to rebuild the foundation healthcare runs on.\n\n**Our ask**\n\nConnect us with decision-makers in the self-insured ecosystem - especially TPAs, stop-loss carriers, or benefits advisors.", "url": "https://www.ycombinator.com/launches/OmI-amera-automating-health-insurance-claims-processing", "votes": 30, "created_at": "2025-11-06T17:03:24.976Z" } ] }, { "id": 30993, "name": "DiligenceSquared", "slug": "diligencesquared-inc", "former_names": [ "DiligenceSquared Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "website": "https://diligencesquared.com/", "all_locations": "New York City, NY, USA", "long_description": "DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost.\r\n\r\nWhen Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year.\r\n\r\nOur AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no \"trust me\" slides, and no 10x mark-up for human labor.\r\n\r\nFrederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it.\r\n\r\nOur clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.", "one_liner": "AI-powered market due diligence for investment decisions", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1762366564, "tags": [ "Analytics", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "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/diligencesquared-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/diligencesquared-inc.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/diligencesquared", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a42ac50f00fb4b851cb03ab791412e7e657c4fbf.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2323479, "full_name": "Frederik Hansen", "title": "Founder/CEO", "founder_bio": "Frederik is the CEO and Co-founder of DiligenceSquared.\n\nBefore DiligenceSquared, Frederik was a Principal in Blackstone's Private Equity team across San Francisco, New York, and London, doing multi-billion dollar buyout deals. He was a key decision-maker on the buy-side of commercial due diligence projects, commissioning dozens of $500K+ reports from firms like McKinsey and BCG. He knows what makes diligence credible to investors - and where traditional consulting wastes time and money.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-kofoed-hansen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358fcc5f0698a74f7099b40458b2ec1e44bb51a8.jpg" }, { "user_id": 2296969, "full_name": "Soren Biltoft-Knudsen", "title": "Founder/President", "founder_bio": "Soren is the COO and Co-founder of DiligenceSquared. \n\nBefore DiligenceSquared, Soren was a Principal at BCG's Private Equity team in New York, focusing on commercial due diligence for some of the world's largest private equity, growth equity, and hedge funds. He led 40+ commercial due diligence projects and knows the workflows intricately - what insights investors actually need and how AI can deliver them faster and better.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/søren-biltoft-knudsen-58010932/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f4b94cd806d643c73479ff8d9d3c9c502a3c24b.jpg" } ], "jobs": [ { "id": 86038, "title": "Engineer - Frontend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/RJPu8pX-engineer-frontend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "CSS", "Node.js", "React", "TypeScript" ] }, { "id": 86039, "title": "Engineer - Backend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ANPgqGX-engineer-backend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "Redis" ] }, { "id": 86040, "title": "Engineer - Fullstack", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/yN97jLM-engineer-fullstack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 92333, "title": "Business Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ifYsd6D-business-lead", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111260, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/2sgTNLd-marketing-lead", "location": "New York City", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - 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$200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112777, "title": "Head of GTM", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/8voNnnz-head-of-gtm", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$190K - $220K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112778, "title": "Senior Account Executive", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/MGUtkVg-senior-account-executive", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112779, "title": "GTM Associate", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/KiQIvSe-gtm-associate", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116213, "title": "Talent & People Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/W7rX5nR-talent-people-lead", "location": "New York City", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95241, "title": "DiligenceSquared - AI-powered market due diligence for investment decisions", "tagline": "Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain. ", "body": "Hey everyone!\n\nWe're Frederik, Soren, and Harshil – co-founders of DiligenceSquared.\n\n**TL;DR**\n\n[DiligenceSquared ](https://diligencesquared.com/)automates **market due diligence for private equity funds**. Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain.\n\nWe have deep expertise from senior industry positions at **Blackstone, BCG and Google**. Frederik bought this research at Blackstone, and Soren sold it at BCG.\n\nOur clients already include **two of the world's five largest PE funds** and several mid-market funds demonstrating the broad appeal of our technology.\n\n**Ask:** Can you introduce us to private equity funds, hedge funds or private credit funds that need credible market intelligence? Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)\n\nhttps://youtu.be/DwNAEVXpv8c?si=qIkt0KSTylIdBg4T\n\n**❌ The Problem**\n\nPrivate equity funds spend **>$10B annually** on commercial due diligence. A standard engagement:\n\n* **Costs $500K-$1M** per project\n* **Takes 2-4 weeks** to deliver\n* **Relies on junior Associates** often only 1-2 years out of university\n* **Provides zero transparency** – no way to trace PowerPoint conclusions back to underlying evidence\n\nThe result: Funds delay diligence until the last minute because it's too expensive to do early or skip it entirely on smaller deals. In increasingly competitive capital markets, this creates a real disadvantage.\n\n**✅ Our Solution**\n\nOur AI agents autonomously conduct expert interviews and synthesize insights with **every claim linked directly to source transcripts**. The advantages are significant:\n\n* **Speed & Scale**: Parallel process interviews in local language and instantly synthesize insights with AI.\n* **Transparency and depth**: Trace any insight back to its underlying source, such as exact quote in interview transcripts. No black box, no \"trust me\" slides.\n* **Cost**: Fraction of traditional fees—making diligence economical for deals that couldn't justify it before.\n\nAs one Managing Director at a PE fund told us: _\"80% of the insight at 5% of the cost. It's a no-brainer for early-stage Commercial Due Diligence.\"_\n\n**🤝 The Team**\n\nOur team has spent years in private equity, consulting, and tech. We know what great due diligence looks like and how to automate it.\n\n* **Frederik** was a Principal at Blackstone's Private Equity team across London, NYC, and San Francisco. He spent 6 years buying these $500K+ reports and knows exactly what investors find valuable versus unnecessary bloat.\n* **Soren** was a Principal at BCG in NYC and spent 7 years leading commercial due diligence projects for the world's largest funds. He knows exactly which process and analytical steps can be automated.\n* **Harshil** was a Software Engineer at Google, leading AI systems in Google Ads. He's a repeat founder with 10 years of experience building production ML systems and knows how to operationalize them at scale.\n\n**🙏 Our Ask**\n\n**Can you introduce us to:**\n\n* Private Equity, Growth Equity, Private Credit, and Hedge Funds\n* Portfolio companies or corporates that need market intelligence\n* Deal professionals frustrated with traditional market due diligence\n\n👉**Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)** or visit [**www.diligencesquared.com**](http://www.diligencesquared.com)\n\n![uploaded image](/media/?type=post&id=95241&key=user_uploads/2296969/7a5d64a9-8895-4b80-98d1-a3ac69b338d9)\n\n", "url": "https://www.ycombinator.com/launches/Om9-diligencesquared-ai-powered-market-due-diligence-for-investment-decisions", "votes": 52, "created_at": "2025-11-06T18:42:49.767Z" } ] }, { "id": 30995, "name": "Velvet", "slug": "velvet", "former_names": [ "Inline", "Lenscape" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c02ad81894db8e1b1d0e71c379c7cae04211613.png", "website": "https://velvetlab.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Expressive conversational AI", "one_liner": "Expressive conversational AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761236237, "tags": [ "Generative AI", "Data Engineering", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/velvet", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/velvet.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/velvet-ai-lab/", "x_url": "https://x.com/Velvet_Lab_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3c02ad81894db8e1b1d0e71c379c7cae04211613.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3e66656b5e1c4869bcbecd4c0bef2936af174b35.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2559459, "full_name": "Lucas Mantovani", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO of Velvet. Ex conversational data + youngest member @ Meta FAIR. CS honors @ UChicago. Brazilian olympiad medalist in Math + Physics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-mantovani-a446a61a9", "x_url": "https://x.com/lrmantovani_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/18122521571dcca4dbbd773deaf133f79578c670.jpg" }, { "user_id": 2292731, "full_name": "Lucas Tucker", "title": "Founder/COO", "founder_bio": "Co-founder, CTO of Velvet. Previously at Adobe. Math and Computer Science at UChicago.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-tucker-21b278175", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dba8487d05c5b0e40e12c4d46ec70f578f4555b7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30996, "name": "Axial", "slug": "axial", "former_names": [ "Axial Composites Industries", "Nerviom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.png", "website": "https://axialcompute.com", "all_locations": "San Francisco, CA, USA", "long_description": "Axial develops accelerated software for geometric computation, physical simulation, and manufacturing.\r\n\r\nOur GPU-native kernels provide programmable building blocks for the computational engineering cycle. They make existing workflows faster and less expensive while enabling engineering teams to explore substantially larger design spaces.", "one_liner": "Accelerated Physics Kernels for Computational Engineering", "team_size": 1, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1757132336, "tags": [ "Manufacturing", "AI", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/axial", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/axial.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50b2530edbf5348c3c01f68b90374b1e76cd4dd6.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": 853081, "full_name": "Giuseppe Rapisarda", "title": "Founder/CEO", "founder_bio": "Aerospace engineer. 5+ years of designing and manufacturing composite components for UAVs, rockets and satellites. Space industry experience @ Rocket Factory Augsburg, designed and simulated composites aerostructures.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/giuseppe-rapisarda2001/", "x_url": "https://x.com/peps_rp", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f916b718b726da45ffb965ad788f90c529725590.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95367, "title": "Axial Composites Industries: Manufacturing Stronger Carbon Fiber Parts Faster", "tagline": "Composites manufacturing for the upcoming aerospace and robotic age", "body": "**TLDR:** Drones and robotics are driving demand for high-performance materials at an all-time high. We make it easier to manufacture aerospace-grade carbon fiber parts thanks to our bespoke 5-axis manufacturing cell.\n\nhttps://youtu.be/9H3dZBSVojE\n\nHey all,\n\nWe are [Giuseppe](https://x.com/peps_rp) and [Rollo](https://www.linkedin.com/in/rollo-tully-5a3306221/),\n\nWe started with manufacturing UAVs together back in university, and now we are creating a manufacturing cell to make better composite parts for aerospace and robotics.\n\n**Why work on this?**\n\nConventional composites manufacturing faces long lead times (2-10 weeks)\n\nThis is how the standard process looks like:\n\n1\\.     Mold manufacturing (1-4 weeks, $10k–$100k+).\n\n2\\.     Manual layup (8-40 labor hours @ 30-80$/hr).\n\n3\\.     Part curing (3-20hr, autoclave CAPEX: $35k-$500k+).\n\n4\\.     Post-processing (2-5 days).\n\nOne design iteration burns weeks and money; a small design change results in going back to step 1.\n\nEngineering teams need faster lead times, lower barriers to entry for manufacturing, and more design freedom.\n\n**The solution**\n\nWe condense all of those steps in a single manufacturing cell, producing parts in a day instead of weeks, offering unprecedented design opportunities.\n\nOur MK1 custom manufacturing cell is equipped with:\n\n* 5 degrees of freedom for non-planar operations\n* thermal chamber for high-performance materials\n* switchable end effectors for additive and subtractive manufacturing of composites\n* 1.5m tall build chamber for large structures production\n\nOur software stack is the first optimized 5-axis slicer for continuous fiber that can deposit material along the stress fields direction of the component, which allows us to produce parts as strong as metals but as light as plastics.\n\nWe engineer and produce our own reinforced thermoplastic stock in-house. We believe that material science advancements lie at the base of most significant step changes in the progress of a civilization, and our fundamental belief is that we have barely scratched the surface of what these materials can achieve.\n\n![uploaded image](/media/?type=post&id=95367&key=user_uploads/853081/dbfa5011-b19e-4c4c-a9ac-17e394252188)\n\n**Ask**\n\nIf you would like to try our parts, hit us up! Any intros to aerospace/robotics companies are also greatly appreciated. Just reach out on X or via email [Giuseppe@axialcomposite.com](mailto:Giuseppe@axialcomposite.com)\n\nP.S. We weren’t able to break the test sample shown in the gif, we hit the upper limit of the crane, and the aluminum structure started to bend instead. More testing soon!", "url": "https://www.ycombinator.com/launches/OoB-axial-composites-industries-manufacturing-stronger-carbon-fiber-parts-faster", "votes": 19, "created_at": "2025-11-10T19:04:14.644Z" } ] }, { "id": 30997, "name": "LunaBill", "slug": "lunabill", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/847fd92cf2043da7d18f115344b4d983d4eccc7c.png", "website": "https://lunabill.com/", "all_locations": "San Francisco, CA, USA", "long_description": "LunaBill is building AI Voice callers for healthcare billing teams. Insurance claim follow-up calls account for the 80% of the daily workload of a healthcare billing team, with each call averaging 30 minutes.\r\n\r\nSince our launch in July we are now at $764K in contracted ARR, of which $428K is live revenue and the rest will go live by January 2026. Our customers see a 10x increase in claims followed up per biller in the first week and we have converted 100% of pilots to paying customers. We have automated 50,000+ calls and signed partnerships with top healthcare systems in the country.\r\n\r\nThe founders have known each other for over a year. Suhail is a 2x founder, with 3+ years of experience building in healthcare including operating a medical billing company with 200+ healthcare clients. David founded Skiesoft, Taiwan’s biggest healthcare AI scribe company, used by thousands of healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy. ", "one_liner": "AI Voice callers for healthcare billing teams", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1759865815, "tags": [ "Generative AI", "Health Tech", "Healthcare", "Healthcare IT", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lunabill", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/lunabill.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lunabill", "x_url": "https://x.com/getlunabill", "fb_url": "https://facebook.com/getlunabill", "cb_url": "LunaBill", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/847fd92cf2043da7d18f115344b4d983d4eccc7c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6b3460a020d75171725dd147b989e86ada2034de.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1e8396d75481e1a29a5fbb988eb5e6a815277e16.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2967362, "full_name": "Suhail Parry", "title": "Founder/CEO", "founder_bio": "2x founder. Prior to LunaBill, I worked as a founding engineer at Knowext, building AI automation for various hospitals and later joined as an operator for Mediregi, an RCM company with 200+ healthcare clients.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/suhailparry/", "x_url": "https://x.com/bitcoinbasha", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1df6ddff5a8137b351129554f324e4f433cedfa9.jpg" }, { "user_id": 1675564, "full_name": "David Day", "title": "Founder/CTO", "founder_bio": "David previously founded Skiesoft, one of Taiwan’s biggest AI scribe company. He also worked at a data scientist at UCSF, building models to audit coding accuracy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daviddaytw/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8929d6b4215265460d650bc3a98cf353edefff27.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95408, "title": "LunaBill - AI Voice Callers for Healthcare Billing Teams", "tagline": "Automating claim-status calls, follow-ups, and reprocessing, so your billing team can finally focus on revenue, not hold music.", "body": "Hello YC! We’re Suhail Parry, David Day, and Yash Raj from LunaBill.\n\n_TL;DR:_ We built AI voice agents that automate insurance calls for healthcare billing teams. Fine-tuned on a dataset of over 1.2M call transcripts, our voice agents can handle insurance calls regarding claim-status inquiries, A/R recovery, and appeals follow-up.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/704621ef-8701-4468-9167-c84f44c67f0a)\n\n### **🚨 The Problem**\n\nEvery week, U.S. healthcare billing teams make tens of millions of calls to insurance companies to get claims paid.\\\nEach one averages **25 minutes**. That’s how hospitals unlock part of the **$260B in denied or delayed payments** every year.\n\nBut there’s a bottleneck:\n\n* Reps can only handle a few calls per hour.\n* Staffing is expensive and hard to scale.\n* Delays cost millions in unrecovered revenue.\n\nMeanwhile, every new hospital system or insurer integration compounds the complexity.\n\n### **💡 The Solution**\n\nLunaBill’s **AI voice callers** automate those phone conversations end-to-end.\n\nOur voice agents:\n\n* Handle **claim status checks, appeals follow-ups, and reprocessing calls** automatically.\n* **Connect to any billing software** and dial claims that need to be worked.\n* Run up to **100 concurrent agents** per client, like having a 100-person call center on demand.\n* Deliver post-call summaries with the to-do steps, integrated directly into workflows.\n\nThey’re **fine-tuned on 1.2M+ real call transcripts**, understand payer logic, and sound completely natural.\\\n🎧 [Listen](https://drive.google.com/file/d/1jxi7GRUV4h1YDX8XkEYQdFzepboOQLq8/view?usp=sharing) to a real AI insurance call, see if you can guess who’s human.\n\n### **⚡ Our Progress**\n\nTo date, LunaBill has automated **60,000+ insurance calls**, saving billing teams over **20,000 hours** and recovering **$30M+** in payments that would otherwise be lost.\n\nBillers now can complete 300+ claim follow-ups per day — up from about 25/day before LunaBill, a \\~12x productivity improvement.\n\nLunaBill has partnered with **top healthcare systems** and **three of the biggest enterprise billing companies** across the country.\n\n![uploaded image](/media/?type=post&id=95408&key=user_uploads/2978935/1f560e14-55c0-4cf7-be59-68fda8d58eb1)\n\n**👥 About Us**\n\n* **Suhail Parry (CEO)** — 2x founder, led billing ops for 200+ clinics.\n* **David Day (CTO)** — Former UCSF data scientist, founded **Skiesoft**, an AI medical scribe used by 120,000 users.\n* **Yash Raj (COO)** — Built AI consumer apps (10K+ users) and worked at **Mayo Clinic** on clinical AI research.\n\nWe first met at the Berkeley AI Hackathon, where we built an AI nurse. A few months later, we teamed up to tackle the biggest operational pain point we’d all lived through: **insurance phone calls**.\n\n### **🤝 Our Ask**\n\nWe’d love warm intros to:\n\n* **Hospital CFOs/CROs/revenue cycle leaders**\n* **Billing / RCM partners**\n* **YC startups selling to hospitals (EHRs, telehealth, marketplaces)** for integrations or co-GTM\n\nFor inquiries, email us at [founders@lunabill.com](https://mailto:founders@lunabill.com) \n\nVisit us at[ ](http://www.lunabill.com/)[Lunabill](http://www.lunabill.com). \\\nFollow us on Linkedin **👉** [LINK HERE](https://www.linkedin.com/company/lunabill/?viewAsMember=true)\n\nThanks for the support!", "url": "https://www.ycombinator.com/launches/Ooq-lunabill-ai-voice-callers-for-healthcare-billing-teams", "votes": 51, "created_at": "2025-11-11T16:18:20.305Z" } ] }, { "id": 30999, "name": "Antigen", "slug": "antigen", "former_names": [ "Claybird", "zag.dev", "Zag" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dccef83823a85d888578112126c72cae4a92e61.png", "website": "https://antigen.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Antigen is an AI adversary for the enterprise. It maps, exploits, and secures your attack surface through nightly automated offensive testing and monthly human red team assessments. Every finding is delivered with traces, reproduction steps, and remediation directly in GitHub, Linear, or the Antigen Platform.\r\n\r\nWe work with companies in financial services, healthcare, retail, and government where security is trust.\r\n\r\nWe're backed by Lightspeed, DST Global, and Susa Ventures.", "one_liner": "Continuous offensive security for the enterprise.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759979466, "tags": [ "Cybersecurity", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/antigen", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/antigen.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/antigenco", "x_url": "https://x.com/antigenco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dccef83823a85d888578112126c72cae4a92e61.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f5f28d8d287d812fe939e54e9715c473f92e79ce.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6b0db6d8a2d3b51411efe244a7950f32195cf541.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3049862, "full_name": "Saad Jamal", "title": "Founder/CTO", "founder_bio": "co-founder @ antigen. prev. ml infra at tesla autopilot. law school dropout.\n\nBefore Zag, Saad trained reasoning models with Ashish Vaswani, author of the famous Attention Is All You Need paper. At Nuro, he developed an ML Compiler framework that enabled running the perception layer across multiple GPU's. And at Tesla he built infrastructure that halved the time it took to train Planning & Controls models. \n\nHe also served at the Supreme Court of Pakistan and dropped out of UChicago Law.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sadjamz/", "x_url": "https://x.com/sadjamz_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6884a1d6d955d0cd249bd70c06cee8e3a2beec8d.jpg" }, { "user_id": 919490, "full_name": "Abdullah Nauman", "title": "Founder", "founder_bio": "Co-Founder @ Antigen. Previously product at Google Ads and ML at Google Search.\n\nPreviously at Google, shipped product features for new advertisers and built large-scale ML infrastructure for measuring cross-site conversions on Search.\n\nTook a year off college to join as second employee at a YC startup. Separately scaled a bootstrap SaaS to $30k MRR. Also wrote low-level imaging software for silicon wafer manufacturing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/abdullahnauman", "x_url": "https://x.com/_AbdullahNauman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27a5ff8bdb4258fc05aad5e34af5f89aeb2216ba.jpg" } ], "jobs": [ { "id": 109112, "title": "Security Researcher", "url": "https://www.ycombinator.com/companies/antigen/jobs/CAQhaJY-security-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$150K - $220K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Information Security", "Software Security", "AI Agents" ] } ], "news": [], "launches": [ { "id": 94551, "title": "Zag: AI Review Agents for Every PR", "tagline": "Custom review agents that build, test, and run your code before it lands.", "body": "Hey everyone, we’re Abdullah and Saad - cofounders of [Zag](https://zag.dev/) 👋\n\n**TL;DR**\n\n**Zag** is a platform for building and running AI review agents. You describe agents in TypeScript or Swift as composable Tasks, and Zag runs them in **real sandboxed environments** on every pull request. Agents don't just read diffs. They build your project, run your tests, boot your app, and verify that it actually works.\n\n_We've opened early access to teams building for Apple platforms (iOS, iPadOS, macOS), running on dedicated Apple Silicon with Xcode, simulators, and the full native toolchain._\n\n\n\n**_The Problem_**\n\nCoding agents are producing changes faster than humans can review them. Tools like Claude Code and Codex are accelerating how code gets written, but the review side hasn't kept up. Teams are merging changes they haven't fully validated, or creating bottlenecks where a handful of senior engineers review everything.\n\nStatic AI code review (inline comments on diffs) helps, but it requires more human-in-the-loop than teams can sustain. Reading AI-generated suggestions about AI-generated code doesn't scale. The kind of confidence that lets teams merge fast comes from actually building, testing, and running the code.\n\n**_Our Solution_**\n\nZag lets teams build custom review agents that run in real environments on every PR.\n\nWe believe that as human engineering work moves up a layer of abstraction, a tech lead's primary job will be tuning better review agents. Not reading diffs line by line, but shaping the automated judgment that enforces their team's engineering culture at the scale of AI-authored code.\n\nThe primary unit of work is a Task: a composable, dependency-aware unit that describes an environment and the logic that runs inside it. Tasks can spin up Claude Code, Codex, or custom agents with access to real build tools, simulators, and full operating systems. Every Task runs in an ephemeral session on dedicated Apple Silicon that boots in seconds from pre-warmed snapshots.\n\nUse built-in utilities for common checks (build verification, test execution, crash detection, App Store compliance), or write your own agents for the specific behaviors your team cares about. When applied to every PR, this helps teams merge changes as fast as they author them.\n\n**Why Apple Developers First**\n\nApple developers need macOS to build and test their code. You can't meaningfully validate an iOS app without Xcode, a simulator, and Apple Silicon. Most CI providers treat macOS as an afterthought. Zag provisions dedicated M4 hardware with no queue at $0.015/minute, priced at AWS cost. If you already have GitHub Actions or Cirrus workflows, a one-line runner swap points them at Zag compute, even before you adopt the review agents.\n\n**_Our Ask_**\n\n1. Connect us with iOS/macOS teams that are frustrated with their CI or are already using coding agents and feeling the review bottleneck.\n2. If you lead an engineering team and want to try custom review agents on your codebase, book a demo at zag.dev/book. A dedicated engineer will embed with your team to set up agents you can trust on every PR.\n3. Share this with anyone building for Apple platforms.\n\n**_The Team_**\n\n![uploaded image](/media/?type=post&id=94551&key=user_uploads/919490/d4e60f0f-0558-48f6-b318-f404ec638358)\n\n**Abdullah** built ML infrastructure at Google powering core Search systems that directly drove **$1B+ in revenue**.\n\n**Saad** spent three years training video models at Tesla Autopilot and later built training infrastructure with **Ashish Vaswani** (author of _Attention Is All You Need_).\n\nTogether, we’ve also collected **$200k+ in bug bounties** from security research.", "url": "https://www.ycombinator.com/launches/Ob1-zag-ai-review-agents-for-every-pr", "votes": 66, "created_at": "2025-10-10T07:18:24.526Z" } ] }, { "id": 31001, "name": "Fastshot", "slug": "fastshot", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bac15cb365c68f8004b888ffdda5946e5ec65b76.png", "website": "https://www.fastshot.ai/", "all_locations": "Thessaloniki, Greece", "long_description": "Fastshot is a no-code mobile development platform.\r\nOur mission is to \"Democratize mobile app creation with AI\"\r\nAnyone can develop a mobile app from idea to App Stores within minutes just by chatting with AI. Start at https://fastshot.ai/ai-app-builder\r\n\r\n", "one_liner": "Lovable for mobile apps", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759962128, "tags": [ "Developer Tools", "No-code", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Greece", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fastshot", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/fastshot.json", "year_founded": 2025, "city": null, "country": "GR", "linkedin_url": "https://www.linkedin.com/company/fastshot", "x_url": "https://x.com/fastshot_ai", "fb_url": "https://www.facebook.com/profile.php?id=61580320113178", "cb_url": null, "github_url": "https://fastshot.ai/ai-app-builder", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bac15cb365c68f8004b888ffdda5946e5ec65b76.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b5e967451611bcc7df1ab92a3a73aecf08075f8c.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 370264, "full_name": "Dmitry Fatkhi", "title": "Founder/CEO", "founder_bio": "Co-founder @ Fastshot, ex AI/ML engineer @ Google, focus on multi-agent architecture and AI coding quality", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fatkhi", "x_url": "https://x.com/DmitryFatkhi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fefaad4e0511daa31be6f9fd6b9e79e591b92fa8.jpg" }, { "user_id": 370260, "full_name": "Elvira Dzhuraeva", "title": "Founder/CPO", "founder_bio": "Co-founder @ Fastshot, ex-Google Gen AI Developer tools, ex-Kubeflow AIOps, ex-Cisco Computer Vision", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dzhuraeva", "x_url": "https://x.com/elvirafortune", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9ce8756ab23a10d87d57a9d8ba72ca222312342.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95041, "title": "Fastshot – Lovable for mobile apps", "tagline": "Build powerful mobile apps in minutes, just by chatting with AI.", "body": "**TL;DR;** Fastshot is an end-to-end mobile development platform that lets anyone build and ship beautiful mobile apps 10x faster and 100x cheaper — no code, just by prompting AI.\n\nhttps://youtu.be/diN3yEdoJbo\n\n### The Problem\n\nThe world runs on mobile. Yet over half of businesses still don’t have a mobile app.\n\nWhy? Because building one is still seen as a luxury — expensive, complex, and slow.\n\nToday, users have three options:\n\n1. Hire a Mobile Development Agency\\\n Agencies handle everything: from design to app store launch.\\\n But at a steep cost: $60K–$120K for an MVP, taking 3–6 months before the first users see it.\n2. Build an In-House Team\\\n Hiring a developer costs about $130K/year, not including design, backend, and QA.\\\n Expect similar timelines: 3–6 months to launch.\n3. Use traditional No-Code Builders (Adalo, Bubble, etc.)\\\n These platforms promise simplicity - but fail to deliver real scalability, design quality, and functionality.\n\n### Introducing Fastshot\n\nFastshot is redefining how mobile apps are built.\n\nWith Fastshot, anyone, even non-technical teams, can design, build, and ship mobile apps just by chatting with AI.\n\n🙅No engineers.\\\n🙅No designers.\\\n🙅No project managers.\\\n🙅No 6-month timelines or 6-figure costs.\n\nEngineered by Google developers.\n\nYou can have your first MVP in customers’ hands the same day.\n\n### How It Works\n\nFastshot is an end-to-end mobile development platform that covers the entire lifecycle:\n\nIdeation → Design → Development → Deployment\n\nWe provide:\n\n* Beautiful out-of-the-box designs and templates\n* Built-in authentication, payments, and storage\n* Plug-in any AI providers to your app\n\nEverything your app needs: from concept to app store, powered by conversation.\n\nhttps://youtu.be/92yFPZuJPUY \n\n### Why Fastshot\n\nIsn’t \\_\\_ already doing this?\n\nYes – and no.\n\nFastshot isn’t just another no-code builder. We employ a multi-agent workflow that differentiates us from how simple vibe coding wrappers operate today, ensuring the best in class, high quality, modern design mobile apps.\n\nNo more brittle, half working mobile app scaffolds. Just working mobile apps in app stores. Our agents take care of everything that goes into mobile development processes end-to-end: from planning, to design, to implementation and shipment to stores.\n\nWe’re building the next generation of mobile app development platform, transforming how the industry will operate for the next decade.\\\nWith Fastshot, you can start building your app 10x more affordably and 10x faster than traditional methods.\n\n## We care about you\n\nWe win together. **Your success is our success.**\n\n**We want to make sure your app is lovable and goes viral.** Our goal is to build a long-term, meaningful partnership with every creator, founder, and business that chooses Fastshot. You grow - we grow with you.\n\nSo, if you’re ready to turn your idea into a real mobile app – **start using** [fastshot.ai](http://fastshot.ai?utm_source=yclaunch).\\\nShare your vision, and we’ll bring it to life.\n\n### About Us\n\nFastshot is built by experts with over a decade of experience creating AI developer tools and mobile apps, with backgrounds at companies like Google, Meraki, Cisco.\n\nDmitry: With 10+ years in AI and mobile development, spent years at Google building AI agents across Core ML and Google Cloud. Before that, as a Engineer, he kept seeing the same problem repeat: brilliant ideas slowed down by slow shipping. Fastshot is his solution to that — a way to turn ideas into apps instantly.\n\nElvira: With 10+ years in software engineering and product management, Elvira built and shipped GenAI developer tools at Google to millions of users. She’s also a developer advocate, speaker, and led the launch of the open-source Kubeflow 1.0 MLOps platform. Having witnessed firsthand how AI can unlock limitless potential, she’s now making that power accessible to everyone through Fastshot.\n\nTogether, they’re on a mission to empower anyone with an idea to bring it to life, instantly, with zero code.\n\n![uploaded image](/media/?type=post&id=95041&key=user_uploads/370260/b08873f3-e446-46f4-9d20-6ca7c3ab87dc)\n\n", "url": "https://www.ycombinator.com/launches/Oiv-fastshot-lovable-for-mobile-apps", "votes": 137, "created_at": "2025-10-30T20:19:02.131Z" } ] }, { "id": 31002, "name": "Clicks Health", "slug": "clicks-health", "former_names": [ "Clicks" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ba947944afd3b1dfe85a7f3891e69a0b39e5fe9.png", "website": "https://www.goclicks.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Clicks Health builds AI agents that automate back-office operations for RCM companies and healthcare providers. Our agents work across EHRs, payer portals, desktop applications, and legacy systems, following existing processes, handling exceptions, and escalating when human judgment is needed. Backed by Y Combinator, Clicks helps teams improve accuracy, shorten turnaround times, and reduce operating costs, with SOC 2 Type II and HIPAA compliance built in.", "one_liner": "AI agents for your healthcare back-office operations.", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1759173987, "tags": [ "Health Tech", "Healthcare", "Health Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clicks-health", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/clicks-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109159942", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ba947944afd3b1dfe85a7f3891e69a0b39e5fe9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2183481, "full_name": "Dominik Helmreich", "title": "Founder/CEO", "founder_bio": "ETH Zurich CSE Grad, Stanford AI Researcher, Ex-BCG Consultant", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dominik-helmreich-30574a1b0/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a7bde85f353f8f0944277c4894f51c8f64e99e39.jpg" }, { "user_id": 2425676, "full_name": "Oliver Knapp", "title": "Founder/CTO", "founder_bio": "Repeated AI founder. Developed 10+ enterprise AI applications in the past 2 years. Studied Physics at ETH Zurich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oliverkn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9453ec18e4fe6b4fbc9d49c8c17eb4d84b6c085.jpg" } ], "jobs": [ { "id": 112346, "title": "Founding Field Sales Rep", "url": "https://www.ycombinator.com/companies/clicks-health/jobs/3AP4VEI-founding-field-sales-rep", "location": "San Francisco, CA, US / Remote (New York, NY, US; FL, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.10% - 0.30%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115425, "title": "Forward Deployed Strategist", "url": "https://www.ycombinator.com/companies/clicks-health/jobs/YsqWAXA-forward-deployed-strategist", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$120K - $170K", "equity_range": "0.01% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 94577, "title": "Clicks: Back-office automation for recruiting and exec search firms", "tagline": "Clicks automates repetitive work without any IT integrations.", "body": "**TL;DR**\n\nClicks builds AI agents that automate back-office work for recruiting and exec search firms—saving customers 60% on costs while reducing time-to-close per search.\n\nOur agents click and type in your existing software (Bullhorn, Salesforce, custom systems) just like a human would, but faster and error-free. No coding, no integrations, no IT involvement.\n\n---\n\n**The Problem**\n\nRecruiters waste 30-40% of their time on soul-crushing admin work:\n\n* 20 minutes updating the CRM after every call\n* 1-3 hours generating assessment reports\n* Hours researching candidates across LinkedIn, company websites, and internal databases\n\n---\n\n**How Clicks Works**\n\n1. **Show us your workflow** – 30-60 minute screen share\n2. **We automate it** – Built in under a week by our team\n3. **Delegate via email or Slack** – Send tasks to Clicks like you'd delegate to an employee\n4. **Get results back** – Pay only for completed tasks\n\nClicks works with everything: modern software, legacy systems, custom-built tools.\n\n[\\[Product Demo Video\\]](https://www.youtube.com/watch?v=ywZbo7xmSqE)\n\n---\n\n**Our Story**\n\nDominik and Oli met 8 years ago while studying at ETH. Both started their careers in consulting. While Dominik consulted globally leading enterprises at BCG, Oli was building 15+ custom AI automations at his first startup. This is where Oli had a key realization: Instead of spending months to building a custom automations and IT integrations, it should only take a couple of hours to building an automation on top of the tools that humans already use. \n\nThat's how Clicks was born. The most intuitive and reliable way to build automations on top of your existing tools.\n\n---\n\n**What's Next**\n\nWe want to enable anyone to build and modify their own automations.\n\nWe will expand our forward deployed engineering teams into new verticals, so other industries can also benefit from Clicks.\n\n---\n\n**Join Us**\n\nClicks is actively working with **forward-thinking recruiting/ exec search companies** who want to move faster, and leave the pain of manual processes behind.\n\nIf that sounds like you, let’s talk.\n\n📅 **Book a demo**: https://calendly.com/dominik-clicks-ai/30min\n\n[🌐](https://calendly.com/d/cqw5-msn-pf2/operand-intro%EF%BF%BC%F0%9F%8C%90) **Learn more:** https://goclicks.ai/", "url": "https://www.ycombinator.com/launches/ObR-clicks-back-office-automation-for-recruiting-and-exec-search-firms", "votes": 10, "created_at": "2025-10-13T14:24:08.116Z" } ] }, { "id": 31004, "name": "Dome", "slug": "dome", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dc9ddeb09c634cfdedc5563ec8d3c525a7e8189.png", "website": "https://domeapi.io", "all_locations": "", "long_description": "Dome makes it easy to build on prediction markets like Polymarket and Kalshi. We provide the developer infrastructure to access, analyze, and build on prediction markets. \r\n\r\nWith our unified API, developers can access live and historical data, including granular datasets not available natively, across multiple platforms at once. Dome makes it simple to trade, embed market data into products, and deploy strategies across multiple platforms through one interface.\r\n", "one_liner": "A unified API for prediction markets, like Kalshi and Polymarket", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759389556, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dome", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/dome.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/dome-api", "x_url": "https://x.com/getdomeapi", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/dome-71a6", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dc9ddeb09c634cfdedc5563ec8d3c525a7e8189.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f779f08359195f56e77527d17921850518036cf6.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2118203, "full_name": "Kurush Dubash", "title": "Founder", "founder_bio": "Kurush is the co-founder and CEO of Dome.\n\nHe's an engineer with a degree from Berkeley and has a deep expertise in blockchain and prediction markets.\n\nAs a founding engineer at Alchemy, he spent over four years helping scale the company from 10 to 250 people and a $10B valuation. He and his co-founder worked closely with Polymarket, one of Alchemy’s largest blockchain customers, to build custom infrastructure that ensured they scaled seamlessly during the 2024 election.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kurushdubash", "x_url": "https://twitter.com/kurushdubash", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b3511a70fd162b26f3c15906f828a3d4063ba9d.jpg" }, { "user_id": 2830840, "full_name": "Kunal Roy", "title": "Founder", "founder_bio": "Founding Engineer Alchemy, prev Engineer at Cruise, Google. \n\nHe's an engineer with a degree from Berkeley and has a deep expertise in blockchain and prediction markets.\n\nKunal spent 5+ years as a founding engineer at Alchemy where he helped grow the company from 10 to 250 people and a $10 billion valuation. He and his co-founder we personally responsible for helping Polymarket scale on the blockchain during the 2024 election. Together they are building domeapi.io, the prediction market api", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/kunal-roy-772a0672/", "x_url": "https://x.com/princeofbothell", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72906da4fa0849b693a62ebaeeb75a17c4c5bf05.jpg" } ], "jobs": [], "news": [ { "title": "The Top Startups To Watch From Y Combinator’s Fall 2025 Batch", "url": "https://www.forbes.com/sites/dariashunina/2025/11/13/the-top-startups-to-watch-from-y-combinators-fall-2025-batch/", "date": "Nov 13, 2025" } ], "launches": [ { "id": 95017, "title": "Dome - A unified API for prediction markets", "tagline": "Trade and analyze data across multiple platforms at once", "body": "Hi everyone - we’re [Kurush](https://www.linkedin.com/in/kurushdubash/) and [Kunal](https://www.linkedin.com/in/kunal-roy-772a0672/) - and we’re building [Dome](http://domeapi.io) 👋\n\n# **TL;DR**\n\n**Dome is a unified API for prediction markets, like Polymarket and Kalshi.** We allow users to trade and analyze data across multiple platforms at once. Over 50+ developers are already building on Dome.\n\n**Ask:** Building or trading in prediction markets? Contact [kurush@domeapi.com](mailto:kurush@domeapi.com) or [DM](https://x.com/kurushdubash) us.\n\nhttps://youtu.be/eYWb3hpxSnE\n\n**Prediction Markets**\\\nPrediction markets are a new financial instrument that combines news, polls, and expert opinions into a single value that represents the market’s view of an event’s odds. In the past few years, platforms like Polymarket and Kalshi have processed tens of billions in volume, giving real-time insight into collective public belief.\n\n# Problem\n\n_Fragmented_**\\\nThe same markets are scattered across multiple platforms**. Fragmented formats and liquidity make them difficult to analyze or trade efficiently.\n\n_Siloed Data_**\\\nAccessing reliable data is a challenge.** Every platform exposes different pieces of information, in different formats, leaving traders without a unified historical view.\n\n_Infrastructure_\\\n**Primitive tools build primitive products.** Developers do not have the adequate infrastructure to grow this ecosystem. \n\n# Solution\n\n**One Market View**\\\nDome unifies prediction markets across platforms into a single, consistent interface.\n\n* Matches **identical markets** across multiple platforms\n* Streams **real-time data** through one API \n* **Integrate once** to access every platform\n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/4a1a329b-1d58-468e-b76a-f18aa9ee4ee4)\n\n**Complete Data**\\\nDome delivers both **real-time** and **historical data** across every platform, giving traders and developers the insight to analyze past performance and react **instantly** to shifting markets. \n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/e56f0e0a-6179-4dd6-8d84-a46a94f9736a)\n\n**Empowered Builders**\\\nDome gives developers the tools to build exponentially on top of prediction markets.\n\n* **Multi-language SDKs** for effortless development\n* **Real-time** streaming architecture for live insights and updates\n* Unified **on-chain** and off-chain data pipeline for consistent accuracy\n\n# The Team\n\n![uploaded image](/media/?type=post&id=95017&key=user_uploads/2118203/b610baf1-35a7-4db8-90f3-2f84eff1519e)\n\n[**Kurush**](https://www.linkedin.com/in/kurushdubash/) (CEO) - Kurush is an engineer with deep expertise in blockchain infrastructure and prediction markets. As a founding engineer at [Alchemy](http://alchemy.com), he spent over four years helping scale the company from 10 to 250 people and a $10B valuation. He and his co-founder worked closely with Polymarket, one of Alchemy’s largest blockchain customers, to build custom infrastructure that ensured they scaled seamlessly during the 2024 election.\n\n[**Kunal**](https://www.linkedin.com/in/kunal-roy-772a0672/) (CTO) **-** Kunal spent 5+ years as a founding engineer at Alchemy and has comprehensive experience in scalable infrastructure having worked extensively on blockchain integrations across chains, virtual machines, and rollups. Early in his career at Google, he worked on internal B2B payment systems, helping move nine figures monthly across global regions.", "url": "https://www.ycombinator.com/launches/OiX-dome-a-unified-api-for-prediction-markets", "votes": 68, "created_at": "2025-10-29T22:29:23.067Z" } ] }, { "id": 31005, "name": "MarkIt", "slug": "markit", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/39b63a988d2773d1a5c1037f6450dfbc78231218.png", "website": "https://markittrade.com", "all_locations": "Atlanta, GA, USA", "long_description": "MarkIt is an AI-powered regulatory compliance platform that helps consumer brands launch products in new markets. We review formulations, packaging, and supporting documents against local regulations, identify compliance gaps, and provide the exact changes, regulatory references, and market-ready labels needed before launch. We are initially focused on cosmetics and food products entering the U.S., replacing weeks of manual work across regulatory consultants, spreadsheets, and disconnected vendors with one actionable compliance workflow.\r\n", "one_liner": "Compliance that makes products ready for global markets.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1759442158, "tags": [ "Workflow Automation", "Compliance", "Consumer Products", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/markit", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/markit.json", "year_founded": 2025, "city": "Atlanta", "country": "US", "linkedin_url": "https://www.linkedin.com/company/markittrade/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/39b63a988d2773d1a5c1037f6450dfbc78231218.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2551075, "full_name": "Chanhyung Kim", "title": "Founder/CEO", "founder_bio": "CEO @ MarkIt", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chanhkim?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/097e256154b2fe65818d509c5760a97625be76ad.jpg" }, { "user_id": 850083, "full_name": "Roland Saavedra", "title": "Founder/CTO", "founder_bio": "CTO of Markit", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rsaav", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d2658f55701abb5c7932995fff951b3d87d7430b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94776, "title": "MarkIt: Silver Bullet for Trade Compliance", "tagline": "2025 Tariffs Megathread", "body": "Hey Everyone!\n\nExcited to share our story and what we’ve been working on.\n\nhttps://youtu.be/kdNXKa-zfcg\n\nWhen Chan worked on Tesla’s Global Trade team, every car part—bolts, batteries, doors, etc—came from a different country. Each time tariffs shifted (pretty frequently), he and his team had to manually check thousands of parts across hundreds of pages of trade rules. Pair that with meetings with consultants, brokers, & suppliers to get potentially the worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shot down due to reasons like product quality & data security, but mainly that it doesn’t bring enough value.\n\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n# **Introducing MarkIt - The Silver Bullet for Trade Compliance**\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n# **MarkIt’s Value: Product & Logic Application**\n\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt services all of your workflow needs in a single\n\n* **Classification**: MarkIt can enhance your workflows at scale. Entries are\n\n **defensible** with thorough **reasoning** and **supporting documents**.\n* **OCR**: Upload your Bill of Ladings, Commercial Invoices, Packing Lists, and other documents to create your import filings and reports.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume. No more worrying about reasonable care, if you don’t trust AI research.\n* **Build Your Own:** MarkIt’s agents can work in files & desktop, applying trade logic in your own customizable way.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.**\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n# **Our Ask:**\n\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, manufacturers, e-commerce operators, etc.\n\n# **Connect with Us:**\n\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/)\n\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/)\n\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/)", "url": "https://www.ycombinator.com/launches/Oee-markit-silver-bullet-for-trade-compliance", "votes": 4, "created_at": "2026-02-07T15:54:23.608Z" }, { "id": 94794, "title": "MarkIt: Silver Bullet for Trade Compliance", "tagline": "2025 Tariffs MegaThread: MarkIt Launch", "body": "When Chan worked on Tesla’s Global Trade team, every car part—from bolts to battery packs—came from a different country. Each time tariffs shifted, thousands of parts across hundreds of pages of trade rules needed review, research, or reclassification. Pair that with tons of paperwork & meetings with consultants, brokers, & suppliers, and you’ll have one worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shut down due to reasons like product quality & data security.\\\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n**Introducing MarkIt**\n\nhttps://www.youtube.com/watch?v=STJujU1zWz4\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n**MarkIt’s Value: Product & Logic Application**\\\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt can support every trade compliance process, including ones companies have been ignoring. \n\n* **Classification**: Use our **accurate**, defensible classifications, or upload your own!\n* **OCR**: Analyze your Bill of Ladings, Commercial Invoices, Packing Lists for report filing, analysis, and report generatino.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume.\n* **Build Your Own:** MarkIt’s agents are familiar with many document types & many regulations. It’ll be able to support ad-hoc workflows just as well as your daily ones.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.** We don’t want require complete system overhaul.\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n\\*\\*Our Ask:\\*\\*\\\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, importers, e-commerce operators, etc. Anyone who may have to get a good across a border.\n\n\\*\\*Connect with Us:\\*\\*\\\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/), [Website](https://markittrade.com)\\\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/), [X](https://x.com/ch6nkim)\\\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/), [X](https://x.com/supadupacoda)", "url": "https://www.ycombinator.com/launches/Oew-markit-silver-bullet-for-trade-compliance", "votes": 17, "created_at": "2025-10-21T15:36:33.380Z" } ] }, { "id": 31007, "name": "Zarna", "slug": "zarna", "former_names": [ "Zarna AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d20374e923bd141960c3c8fd2965f8288e95aa58.png", "website": "https://www.zarnaai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Zarna is private equity's first AI associate class. \r\n\r\nBuilt for BD teams at middle-market firms, our agents manage your CRM, source new opportunities, and prep you for every meeting. Runs natively in Outlook and Teams.", "one_liner": "AI Associates for Middle-Market Private Equity ", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1762391689, "tags": [ "Investments", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zarna", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zarna.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zarna/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d20374e923bd141960c3c8fd2965f8288e95aa58.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": 1728449, "full_name": "Rishabh Dhariwal", "title": "Founder/CEO", "founder_bio": "CEO/Co-Founder @ Zarna AI\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishabh-dhariwal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014ce567b368a830e9eae29117e6bec90af8fa5d.jpg" }, { "user_id": 1828222, "full_name": "Vivan Agrawal", "title": "Co-Founder", "founder_bio": "Co-founder at Zarna (YC F25). Studied EECS & Materials Science at UC Berkeley. Previously worked on cybersecurity at EY, AI/ML at Wipro, and bioelectronics research at Lawrence Berkeley Lab.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivan-agrawal", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/699fe4ba9f4d83514fc4b365c39b742500436d6e.jpg" }, { "user_id": 1709135, "full_name": "Hrishi Joshi", "title": "Founder", "founder_bio": "Co-Founder @ Zarna", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishij7/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ee35d701e0ccfee4afad2ac8e222f226ee975899.jpg" }, { "user_id": 2439162, "full_name": "Rakesh Mehta", "title": "Founder/CTO", "founder_bio": "Building Zarna—the Agentic Operating Layer for Private Capital Markets. Focused on AI/ML applications to the real world. Other interests include astrophysics, videography/film, photography, and basketball.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rakeshvmehta/", "x_url": "https://x.com/rak3sh_m", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5bffe5c679057e0cd2eb69caa075f7090c293f24.jpg" } ], "jobs": [ { "id": 102446, "title": "AI Software Engineering Intern", "url": "https://www.ycombinator.com/companies/zarna/jobs/XFa8DgK-ai-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Backend", "salary_range": "$5K - $7.5K", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95252, "title": "Zarna - AI Associates for Private Capital Markets", "tagline": "Zarna turns weeks of deal work into minutes ", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\n\nWe’re Rishabh, Hrishi, Vivan, and Rakesh.\\\nWe’re building AI associates that automate deal work for firms in the private capital markets.\\\n[_(demo video_](https://youtu.be/GN8JtPZ99z8)_)_\n\n---\n\n### **Problem**\n\nDeal teams spend a surprisingly large amount of their time on repetitive processes:\\\nreviewing CIMs, rebuilding models, creating tear sheets and IC decks, updating CRMs and trackers, and piecing together context fragmented across file drives.\n\n### **What We Do**\n\nZarna connects our **cohort of AI associates** to your firm’s history. _Past deals, the CRM, shared drives, board decks, third-party databases, etc._\n\nOnce connected, they execute core work end-to-end:\n\n* Generate tear sheets, IOI materials, and IC drafts in the firm’s format\n* Convert CIM financials into diligence model structures\n* Complete all data entry & enrichment into [CRM](https://www.youtube.com/watch?v=8daMRb9IPxU)s\n* Sync operator notes & portfolio KPI trackers over time\n* Analyze CIMs, teasers, and market reports to surface what matters\n\n**The goal is simple:**\n\nWith the summaries, models, and trackers handled, investors can spend their time forming deeper views on companies and markets — building conviction faster on the right deals.\n\n---\n\n### **Why Zarna**\n\nEvery firm has its **own way** of evaluating businesses, management, and risk.\\\nSo **generic copilots fail**—they don’t understand the firm’s history, style, or decision-making patterns.\n\nThe hard part is **institutional memory and reasoning**, not text generation.\n\nWe embed forward-deployed engineers with deal teams to tune how the agents:\n\n* interpret financial signals\n* format materials\n* map market structures\n* reflect the firm’s voice and conviction process\n\nThis turns what used to live in **individuals who could walk out the door** into something **searchable, reusable, and cumulative across the firm.**\n\nThe result is not just “faster work.”\\\nIt is **firms that start each deal loaded with context instead of from zero.**\n\n---\n\n### **Backstory**\n\nPre-YC, we were forward-deployed engineers embedded in a $20B private equity firm, leading AI enablement initiatives & building agents automation across sourcing, diligence, and portfolio management.\n\nThe four of us are best friends who have been building together since college. We studied computer science, electrical engineering, & economics at UC Berkeley. We’ve explored many ideas over the last 3 years — this is the one where we saw the **problem first-hand** and **couldn’t let go of it.**\n\n![uploaded image](/media/?type=post&id=95252&key=user_uploads/1728449/63967ae3-fc76-424c-b75b-eda4a5fa528f)\n\n---\n\n### **Who is Zarna for**\n\n**We are focused on building for Private Equity, Growth Equity, Private Credit, Family Offices, & Investment Banking. Book a demo today at zarnaai.com.**\n\n### **Questions**\n\nReach out to [**rishabh@zarnaai.com**](mailto:rishabh@zarnaai.com) (630-631-9264), [hrishi@zarnaai.com](mailto:hrishi@zarnaai.com) (603-233-4478), [rakesh@zarnaai.com](mailto:rakesh@zarnaai.com) (510-458-6129), [vivan@zarnaai.com](mailto:vivan@zarnaai.com) (510-6849147)", "url": "https://www.ycombinator.com/launches/OmK-zarna-ai-associates-for-private-capital-markets", "votes": 19, "created_at": "2025-11-06T23:46:00.474Z" } ] }, { "id": 31008, "name": "Moss", "slug": "moss", "former_names": [ "InferEdge Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/631b5f054745e65be97bbf8459061215b1e4e693.png", "website": "https://moss.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural.\r\n\r\nIf you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs.\r\n\r\nMoss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.", "one_liner": "Real-time semantic search for Conversational AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1761590258, "tags": [ "Developer Tools", "SaaS", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/moss", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/moss.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mossdev", "x_url": "https://x.com/usemoss", "fb_url": null, "cb_url": null, "github_url": "https://github.com/usemoss", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/631b5f054745e65be97bbf8459061215b1e4e693.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": 2412081, "full_name": "Sri Raghu Malireddi", "title": "Founder/CEO", "founder_bio": "Founder & CEO of Moss. We are developing real-time semantic search for conversational AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/r4ghu", "x_url": "https://x.com/srimalireddi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d4d35194c36b1439842c0c5a79465192b0c34ea.jpg" } ], "jobs": [ { "id": 107565, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/moss/jobs/HmK9Iqk-machine-learning-engineer", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$60K - $300K", "equity_range": "0.10% - 0.50%", "experience": "6+ years", "visa": "Will sponsor", "skills": [ "ML", "Python", "Torch/PyTorch", "Machine Learning", "Deep Learning", "Reinforcement learning (RL)", "Search", "LLMs", "Transformers", "RAG", "Vector Embeddings", "Vector Databases", "Fine-tuning", "Evals", "AI Agents", "Multimodal AI", "Speech Recognition", "MLOps", "Whisper" ] } ], "news": [], "launches": [ { "id": 95036, "title": "Moss: Real-time Semantic Search for Conversational AI", "tagline": "We help conversational AI teams turn lagging, robotic interactions into natural, human-like experiences through sub-10 ms semantic search.", "body": "Hello YC! This is [**Sri Raghu Malireddi**](https://www.linkedin.com/in/r4ghu) from [**Moss**](https://usemoss.dev/).\n\n### **TL;DR**\n\nMoss is a high-performance runtime for real-time semantic search. It delivers sub-10 ms lookups, instant index updates, and zero infra overhead. Moss runs where your agent lives - cloud, in-browser, or on-device - so search feels native and users never wait. You connect your data once; Moss handles indexing, packaging, distribution and updates.\n\n![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/c21db6f6-b453-40b6-a15d-5654971ab2ab)\n\n### **The Problem**\n\nIf you’ve ever built a conversational or voice AI product, you’ve felt it - that awkward pause when your agent lags or hesitates. The illusion of conversation breaks, and suddenly it feels less like talking to intelligence and more like waiting for a page to load.\n\nThe culprit is almost always retrieval. Every query hops across networks and cloud databases, adding seconds of delay. As usage scales, those small lags snowball into lost users, rising infra and egress costs. Teams spend weeks rebuilding embeddings and indexes, tuning search infra just to get “good enough” answers instead of focusing on what actually matters: building great AI experiences!\n\n### **Solution**\n\nMoss puts real-time semantic search in the same runtime as your agent and application, so you can -\n\n* **Keep retrieval close** - embed & index right alongside your agents (docs, chat history, telemetry).\n* **Answer in <10 ms** - local lookups, zero network hops.\n* **Manage at scale** - store, sync, and distribute indexes with our managed data layer at [**https://moss.dev**](https://usemoss.dev)\n* **Drop-in SDKs** - [**JavaScript**](https://www.npmjs.com/package/@moss-js/moss) and [**Python**](https://pypi.org/project/moss/).\n\n### **Our Story**\n\nMoss founding team knew each other for 8+ years and bring deep expertise in machine learning, high-performance computing and developer experience.\n\nSri was an ML Lead at Grammarly and Microsoft, where he shipped LLMs and personalization systems used by millions of users across Office, Bing, and Grammarly. His work on personalization drove 300% retention growth for Grammarly Keyboard and scaling models to 40M+ DAUs. He has published at top ML conferences such as ACL and holds multiple patents in real-time ML.\n\nThe idea for Moss came from our deep frustration with how slow “intelligent” systems actually felt in practice. While building large-scale agentic systems at Microsoft and Grammarly, we kept hitting the same wall - retrieval lag that made even the smartest models feel lifeless. Through evolution, humans are wired to expect instant replies; when AI hesitates, it breaks the illusion of intelligence. We started Moss to fix that by collapsing the multi-hop retrieval stack into a real-time, local-first runtime that lets AI think and respond at the speed of thought.\n\n\n\n### **Who is it for?**\n\n* **Platform/Founding Eng:** Drop in realtime semantic search. No new service to run.\n* **Infra Leads:** Local retrieval to slash p95 and egress.\n* **Agent/Voice PMs:** Hit <10 ms so conversations feel natural.\n* **Security/Compliance:** Keep sensitive context local (offline-ready).\n* **Data/ML Eng:** A/B embeddings & index configs on your corpus - fast.\n\n### **How to onboard?**\n\n* Login to the portal -  \n* Start a new Project, create an index either through the portal or [JavaScript](https://www.npmjs.com/package/@moss-js/moss) and [Python](https://pypi.org/project/moss/) SDKs\n\n ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/ecd79cf8-972e-4233-9987-e015ad49abd8)\n\n* Using our SDKs - **init**, **load** and **query** indexes in **sub-10ms**.\n\n ![uploaded image](/media/?type=post&id=95036&key=user_uploads/2412081/60e783b7-d7d3-411a-91fd-05cbd678130a)\n\n\n### **Our Progress**\n\nWe’re seeing strong inbound pull from the market with 6 enterprise design partners and 3 paying customers actively building their products around Moss’s core tech, with 7 more actively evaluating. We’re working closely with Voice AI orchestration companies like Pipecat ([Daily.co](http://Daily.co)) and LiveKit, embedding Moss at the core of their real-time retrieval and context pipelines. Usage and revenue have been growing \\~100% week over week, and Moss is quickly becoming the foundational layer teams rely on to make AI feel instant, contextual, and truly responsive.\n\n### **Ask**\n\n* Building in Conversational AI and Voice AI?[ **Use Moss**](https://usemoss.dev) to bring real-time semantic search inside your agents to production\n* Developers -[ **Get free access**](https://form.typeform.com/to/XWeuMaar) to experiment with Moss and help shape the future of real-time conversational AI.\n\nOur contact information -\n\n* Email - [**founders@moss.dev**](mailto:founders@usemoss.dev)\n* Website - [**https:/moss.dev**](https://moss.dev)\n* Book a demo - [**Calendar Link**](https://cal.com/srimalireddi/30min)", "url": "https://www.ycombinator.com/launches/Oiq-moss-real-time-semantic-search-for-conversational-ai", "votes": 107, "created_at": "2025-10-30T19:54:21.747Z" } ] }, { "id": 31009, "name": "Specific Labs", "slug": "specific-labs", "former_names": [ "Bear AI", "Bear", "Specific" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f65a9129ea781a8d18fe1dc455b98be2430643a6.png", "website": "https://withspecific.com", "all_locations": "San Francisco, CA, USA", "long_description": "Specific builds enterprise environments and datasets representative of work inside real-world businesses. The next frontier of AGI is bottlenecked by data that is hard to access, and we make that easier.", "one_liner": "Real World Environments and Data for AI", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1757825190, "tags": [ "Generative AI", "SaaS", "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/specific-labs", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/specific-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/specificlabs", "x_url": "https://x.com/usebearai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f65a9129ea781a8d18fe1dc455b98be2430643a6.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": 426892, "full_name": "Janak Sunil", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO @ Specific Labs, Real-SWE\n\nPrev @ Coinbase", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/janaksunil/", "x_url": "https://x.com/janaksunil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ccd95183d6e0a5bb9c8f557eed77cd7317f82709.jpg" }, { "user_id": 1243050, "full_name": "Siddhant Paliwal", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO @ Specific \n\nPrev @ Third Chair (YC X25), Intel. Founded my first company at 15, invited to the UN.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/siddhantpaliwal/", "x_url": "https://x.com/siddhantpa1iwal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2e97fd5871a88b44c76f7e983e0fde1d83c9638d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114666, "title": "Real-SWE: A coding benchmark built from private company codebases", "tagline": "Can coding agents can do real engineering work on codebases they've never seen?", "body": "![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/94ad1344-e8cb-4757-8023-59f3ed3e6081)\n\n**TL;DR**\\\nSpecific Labs (YC F25) is launching Real-SWE, a benchmark that evaluates coding agents on real software engineering tasks that engineers performed, using private, out-of-distribution codebases. Public benchmarks are built on open source repos models have already seen. Real-SWE tests whether an agent can do the work inside a company it has never encountered. Leaderboard and task examples at \\\n\\\n**Hi, we're Janak and Sid**\\\nOver the past year we've acquired and licensed operational data and codebases from real companies, and one question kept coming up with labs: how do coding agents actually perform on private code? Nobody had a clean way to measure it. So we built one.\n\n**The problem**\\\nEvery major coding benchmark is built on public repos. Models have trained on that code or on code that looks a lot like it. Scores keep climbing, but the number companies care about is different - can this agent land a fix in our billing system, our permissions layer, our customer data pipeline, without having seen any of it before?\n\n**What Real-SWE is**\\\nReal-SWE is a set of tasks pulled from real work engineers did on private company codebases. Examples include an app with 200K+ users, a fintech platform processing 100K+ bank statements, and enterprise sales tools.\n\nEach task gives the agent the codebase and the context an engineer would have had, then checks whether the fix actually works. One example: fix invoice billing so each business charges the right tax and exempt customers aren't taxed. The agent has to work out how the business handles tax, connect the tax provider, and keep invoices consistent.\\\n\\\n**What we found**\n\nAgents that look strong on public benchmarks struggle a lot more when the codebase is one they've never seen.\n\n![uploaded image](/media/?type=post&id=114666&key=user_uploads/426892/5c10421b-da9c-4447-bb76-5cf298a890c9)\n\n\\\n\\\n**The ask**\n\n* If you're at a lab and want your model evaluated, or want the full task set for training, email [janak@withspecific.com](mailto:janak@withspecific.com)\n* If you run a company and would be open to contributing a codebase (we handle anonymization and tasks stay private), reach out", "url": "https://www.ycombinator.com/launches/TpS-real-swe-a-coding-benchmark-built-from-private-company-codebases", "votes": 11, "created_at": "2026-09-10T18:52:18.053Z" }, { "id": 94289, "title": "Bear - Get recommended by AI Agents 🤖", "tagline": "Track and influence how often you appear on ChatGPT, Claude Code, Perplexity, and more", "body": "Hey everyone 👋\n\nWe’re [Janak](https://www.linkedin.com/in/janaksunil/) and [Siddhant](https://www.linkedin.com/in/siddhantpaliwal/), co-founders of [Bear](https://www.ycombinator.com/companies/bear)!\n\n# **TLDR ⚡️**\n\n**Bear helps companies get recommended by AI Agents.** **60+** companies use our platform, including **Browserbase**, **Wispr Flow**, **Cal.com** & tons of other YC companies.\n\n**Asks ❓**\n\n1. Can you introduce us to any heads of growth/marketing at Series A+ companies?\n2. You can try us out at [usebear.ai](https://usebear.ai). We would love your feedback!\n\n[**https://youtu.be/463PtjO_87g**](https://youtu.be/463PtjO_87g)\n\n# **Problem 😔**\n\nMarketers don't have a reliable way to track how often they and their competitors get recommended by AI agents like ChatGPT and Claude Code. Further, they do not know how their products can be recommended by them.\n\n# **Solution 😃**\n\n1. **We gather a lot of data** 📊: when your company shows up, when competition shows up, the sources contributing to AI answers, and the exact prompts behind them.\n2. **Find and Copy content that AI likes 😃**:\n\n **Example:** if you’re Brex, and Ramp has a blog titled “Best Business Credit Cards 2025” that shows up as a source for ChatGPT a lot, our platform makes it easy to clone it for Brex.\n3. **Find and reach out to sources that AI likes** 🤝:\n\n **Example:** if CNET is a frequently cited source for a question like “What are the best laptops 2025?”, we automatically find the author of the blog and reach out to them on your behalf.\n\nYou can sign up for **free** on our [website](https://usebear.ai)!\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/5260a478-aa4a-444a-b7c3-263f5ae7a8da)\n\n**Why this matters now ‼️**\n\n\\~10% of searches on US Desktops now happen on AI Search (probably more).\n\nYour customers are asking “what’s the best project management tool” or “best AI CRM” and getting answers that might not include you - even if you rank on Google.\n\nBlue links are inherently **archaic.** The future of search is **conversational.**\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=94289&key=user_uploads/1243050/87e46333-fc56-49eb-aa81-900f6f274d85)\n\nJanak was previously at Coinbase and is the founder of UCLA’s largest apartment listing platform (Acquired 2024).\n\nSid was an early engineer at Third Chair (YC X25) and Intel. He started his first company, a parking app, at 15 and was invited to the UN.\n\n## **Asks:**\n\n🎯 **Try our platform** - 7-day free trial at [**usebear.ai**](http://usebear.ai) (especially if you’re B2B SaaS, we have great data for your space)\n\n🤝 **Introductions** - If you know heads of growth/marketing at Series A+ companies who care about search visibility\n\n📊 **Feedback** - What can we improve about our website, onboarding, product, etc?", "url": "https://www.ycombinator.com/launches/OWn-bear-get-recommended-by-ai-agents", "votes": 105, "created_at": "2025-10-01T22:29:01.620Z" } ] }, { "id": 31010, "name": "Amika", "slug": "amika", "former_names": [ "Fixpoint" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c42840d914de4ea4ec78f647bf0db2e93434ca5d.png", "website": "https://www.amika.dev/", "all_locations": "New York City, NY, USA", "long_description": "Amika is infra to build your software factory.\r\n\r\nWe give your team sandboxed AI coding agents in the cloud: the same infrastructure Ramp, Coinbase, and Stripe built in-house. Kick off work from a web UI, CLI, Slack, or API. Use your preferred coding agent (Claude Code, Codex, etc.). Each agent understands your codebase, runs autonomously, and ships real PRs with live previews of the apps it changed. Use it as your daily driver or plug it into your own code-gen pipeline via API.", "one_liner": "Infra to build your own software factory", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1759722442, "tags": [ "Machine Learning", "B2B", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/amika", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/amika.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/amikadev/", "x_url": "https://x.com/amikadev", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gofixpoint/amika", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c42840d914de4ea4ec78f647bf0db2e93434ca5d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 101903, "full_name": "Dylan Mikus", "title": "Founder/CEO", "founder_bio": "Making infra for software factories. Helping people spin up sandboxed coding agents, and then control the interactively or programmatically so they can automate their entire SDLC.\n\nCMU grad in comp sci and ML\n2x YC founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/dbmikus", "x_url": "https://twitter.com/dbmikus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10786d1817ed7d689f6f3313f3b2c73f38c9f9a5.jpg" }, { "user_id": 1013839, "full_name": "Jakub Cichon", "title": "Founder/CTO", "founder_bio": "co-founder / CTO at Amika. Building infra for software factories. \n\n2x YC founder.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jakub-cichon-14016a3b", "x_url": "https://x.com/jdcamika", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/095af1aef16261010001d5599b3059bc222330e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103929, "title": "Amika - the operating system for AI agents to write and verify code", "tagline": "Run fleets of human-in-the-loop or background coding agents inside cloud computers. Let them automate coding and verify it's correct.", "body": "Software isn't a craft anymore, it's a manufacturing problem.\n\nAt Amika, we're building **the open source operating system for coding agents to automate their work**, like how the factory automated manufacturing.\n\n**Amika gives each agent a cloud computer, and lets you build automated or human-in-the-loop workflows for agents to write code and prove that the code is correct.**\n\nA couple of examples:\n\n\\- Have Amika monitor production and auto-fix errors, testing the fix against your real app\n\n\\- Add Amika to shared customer Slack channels. Auto-implement customer requests and share a live preview the updated app with them\n\nCheck out some more examples in our video 👇\n\n\n\n# The problem\n\nAI coding agents made code generation cheap. Producing correct code at scale, with real quality controls, is still unsolved. You're left with a tradeoff: pore over every change and go slow, or vibe-code and ship slop.\n\nCoding agents are useful, but the surrounding system is missing.\n\n\\- They lack the right **dev environment to verify their work**\n\n\\- They lack the right **context to understand the full problem**\n\n\\- They lack **deterministic guardrails controlling what they can change**\n\n\\- They produce 10x more code, but teams lack **a system for 10x more review**\n\n# How Amika solves this\n\nAmika composes 5 primitives into its agent operating system:\n\n1\\. **Sandboxed environments**: isolated cloud computers with the repos, tech stack, MCP servers, skills, and context an agent needs.\n\n2\\. **Workflows**: programs as code or markdown files that define when an agent runs and what job it does.\n\n3\\. **Deterministic guardrails**: rules enforced on every code change, like \"do not cross this module boundary\" or \"every database query must include a customer ID filter.\"\n\n4\\. **Automated verification**: test, review, fix, and merge loops that check the work against your real tech stack before it ships.\n\n5\\. **Audit trails**: the agent chat session, code changes, which checks passed, and what the run cost.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/a1246cf3-1ed1-435d-94fb-2cb7437b4995)\n\nAmika works with your existing coding agent subscriptions (Claude Code, Codex, etc.) so **you're not locked into one vendor**. Start agents from the web, Slack, GitHub, the CLI, or the API. At any point, a human can take over the sandbox and inspect the running apps, or drive from their own code editor.\n\nBecause each sandbox runs your full stack, you review the agent's work in a live preview of your real app, plus the verification artifacts it produced, like screen captures or API test requests, instead of poring over the diff line by line.\n\nWith Amika's workflows and environments, you can spend time building higher level loops for your agent to write and verify code, speeding up your product development.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/60e16093-3dcf-4285-b73b-998c74507145)\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3b84372e-0a00-46a3-afd1-d711547c256b)\n\n# Who we are\n\nWe're [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), two time YC cofounders.\n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/497da8a5-bfa8-407e-98f6-b613d9389b50)\n\nWe pivoted our YC company to bet on this, and we already use Amika for the majority of our PRs. We're building it in the open: each primitive ships as open source, and our cloud platform packages the whole operating system into a software factory for teams.\n\n# Our ask\n\n\\- Sign up for a **free two-week trial at [amika.dev](https://www.amika.dev/)**\n\n\\- Dig into the **open source repo** on GitHub: \n\n\\- If you want **help setting up your software factory**, book at demo at \n\n![uploaded image](/media/?type=post&id=103929&key=user_uploads/101903/3e200f7d-2b3f-4e3e-99f3-d0249987c72c)\n\n", "url": "https://www.ycombinator.com/launches/R2H-amika-the-operating-system-for-ai-agents-to-write-and-verify-code", "votes": 18, "created_at": "2026-06-24T17:06:48.500Z" }, { "id": 94868, "title": "Fixpoint - Uber for AI trainers and human-in-the-loop supervisors", "tagline": "Fixpoint helps AI data companies automate sourcing, vetting, and all HR for your expert annotator teams", "body": "Hello, world! We’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/), the co-founders of [Fixpoint](https://fixpoint.co/).\n\n**Fixpoint helps AI training data companies hire the expert humans that create AI training data**.\n\nAI needs human experts to teach it new skills and benchmark its performance: PhDs for science, lawyers for contract review, etc. But finding and vetting these experts is time-consuming, and without properly vetting experts, you’re paying for bad data!\n\nFixpoint automates this process, connecting companies with verified experts at the push of a button, so you can focus on creating quality AI training data instead of recruiting.\n\n[Launch Video](https://youtu.be/9TCgpe0tT3w)\n\n**We have two products:**\n\n1. **Worker Vetting API** - Plug Fixpoint’s API into your onboarding workflow and vet the credentials and backgrounds of workers. **Catch 10x the worker fraud!**\n2. **White-Glove Expert Staffing** - When you need annotators fast, Fixpoint can source and hire a team of qualified experts. **Staff a team of 100s in just a couple weeks.**\n\n**Our track record:**\n\n* We’ve caught 10x the fraudulent applicants for top AI data companies\n* We’re partnered with data companies to staff teams for the top AI labs\n* We are GDPR ready and SOC 2 certification is underway\n\nUltimately, we're building the platform for \"human data ops\". Just as chip designers use TSMC for chip manufacturing, AI companies can use Fixpoint for the human expertise and tools needed to create specialized training data and evals.\n\n# Our ask\n\nSend us an email at [**founders@fixpoint.co**](mailto:founders@fixpoint.co) or [**grab a demo**](https://cal.com/fixpoint/demo) if:\n\n* You’re an AI data company or RL company and need a team of expert annotators\n* You’re an enterprise that needs to eval or benchmark your AI agents in a specialized domain (healthcare, legal, etc.)\n* You’re on the “human data” team at a model lab and have trouble managing experts or their data\n* You don’t fit in the above, but you or someone you know could use our services!\n\n# About us\n\nWe’re [Jakub](https://www.linkedin.com/in/jakub-c-14016a3b/) and [Dylan](https://www.linkedin.com/in/dbmikus/). We’re second time YC founders who’ve worked together since we met at Oscar Health in 2018. We’ve built everything from search systems, to chatbots, to data infrastructure, to AI web research agents.\n\n![uploaded image](/media/?type=post&id=94868&key=user_uploads/101903/ad8316ad-d855-46de-9ffc-67bb1fd62847)\n\n", "url": "https://www.ycombinator.com/launches/Og8-fixpoint-uber-for-ai-trainers-and-human-in-the-loop-supervisors", "votes": 25, "created_at": "2025-10-23T21:41:36.522Z" } ] }, { "id": 31011, "name": "Openroll", "slug": "openroll", "former_names": [ "Compensara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e85636cc8d85e40e183c3547b34d3f05a5aa19c6.png", "website": "https://www.openroll.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Openroll is an AI-powered workspace for people and finance teams.\r\n\r\nOpenroll lets teams automate recurring work and run fully auditable workflows across their systems.\r\n\r\nCompensation, headcount, and budgeting in one platform.\r\n\r\nLearn more at https://www.openroll.com", "one_liner": "The AI workforce for People and Finance teams", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1758664179, "tags": [ "B2B", "Productivity", "HR Tech", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openroll", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/openroll.json", "year_founded": 2024, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/openroll/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e85636cc8d85e40e183c3547b34d3f05a5aa19c6.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": 1762740, "full_name": "Mattias Lindell", "title": "Founder/CEO", "founder_bio": "Mattias is the CEO and co-founder of Openroll, where he is building the agentic platform for People and Finance teams. Before Openroll, he competed in elite youth football, co-led multi-billion procurement projects at Swedbank, and launched multiple ventures - from a bedsheet-cleaning service to consumer apps - while studying. He left his MSc in Finance at Sweden’s top university, SSE, to work full-time on Openroll.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lindellmattias/", "x_url": "https://x.com/MattiasLindll", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61f6aacd9511c99664139c956580c80e300222a6.jpg" }, { "user_id": 2230084, "full_name": "Porsev Aslan", "title": "Founder/CTO", "founder_bio": "Reimagining how organizations work, automate, and operate with AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/porsev-aslan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6d33c6bbde4d4e16d321d18add41a05da6453d0d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94293, "title": "Openroll: The AI that Shows Exactly What Your Competitors Pay", "tagline": "AI agents that reveal competitor pay and guide every salary decision.", "body": "**TL;DR:** Companies spend trillions each year on salaries but still guess what to pay. Openroll ends that. Our AI agents reveal exactly how competitors pay – company by company, role by role – and guide leaders through salary decisions in real time.\n\nEarly customers are already closing candidates they used to lose, retaining their best people, and seeing 3X ROI in week one and six-figure P&L impact.\n\nKnow any tech People/HR leaders, CFOs, or CEOs? Let’s connect: [mattias@openroll.com](mailto:mattias@openroll.com)\n\nhttps://youtu.be/WfrVYtrUWmM\n\n**Problem**\n\nImagine playing chess without seeing the board.\n\nThat’s how companies set pay today. Salaries decide who joins, who stays, and who leaves – yet leaders still move blindly.\n\nIn fast-moving markets, the stakes are extreme. Miss the mark and:\n\n• The candidate you need takes a competing offer.\n\n• A top performer walks when they discover they’re underpaid.\n\n• Replacements cost months of time and resources.\n\nDespite salaries being the largest spend in business, companies still rely on industry averages, gut feeling, and overpriced consultants. By the time they get an answer, it’s already too late.\n\nThe consequences of guessing on pay are brutal: lost candidates, frustrated teams, and six-figure mistakes. And even the biggest, most sophisticated companies still make them.\n\n**What We’ve Built**\n\nOpenroll is an agentic AI platform that brings real transparency into compensation for the first time:\n\n* **See competitor pay, company by company:** Know exactly what your peers pay their employees. No averages. No black boxes. Just transparent data.\n* **AI-guided pay decisions:** From setting starting salaries to balancing cash vs. equity, agents guide leaders through the toughest calls.\n* **Speed is survival:** Weeks of manual work and spreadsheets collapse into seconds – giving you the edge to win and keep the people who matter most.\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/cabffc7c-4a3c-4956-be6d-db93d501d7b4)\n\n**Why This Matters**\n\nHere’s what our users say:\n\n“Candidates we used to lose now close in days.”\n\n“We finally know where we stand in the market.”\n\n“Comp decisions that dragged on for weeks now take minutes.”\n\n“For once I know what my competitors actually pay”\n\n**Employees** love Openroll because they know pay is fair and transparent. **Managers** love it because they can act instantly and with confidence instead of wrestling with spreadsheets and guesswork. **Executives** love it because it keeps their teams together and turns compensation into a driver of growth, not risk.\n\nThe pull from tech companies has been great but any organization competing for talent is starting to see Openroll as essential infrastructure.\n\n**Who We Are**\n\n![uploaded image](/media/?type=post&id=94293&key=user_uploads/1762740/3c74d2d1-d720-4719-953e-8d0b235a3d29)\n\nWe are **Mattias Lindell** and **Porsev Aslan**. Over the past year, we’ve lived inside the world of compensation – shadowing HR teams, interviewing leaders, and building alongside early adopters.\n\nWe’ve sat in the rooms where offers were lost and talent walked away, and we’ve refined Openroll hand-in-hand with the companies fighting to keep their people.\n\n**Our Ask**\n\nKnow any CHROs, Heads of People, CFOs, or CEOs who care about retaining top talent? Please connect us.\n\nHave you ever been frustrated by surveys, consultants, or guessing games around pay? We’d love to hear your stories.\n\nReach out at: [mattias@openroll.com](mailto:mattias@openroll.com)", "url": "https://www.ycombinator.com/launches/OWr-openroll-the-ai-that-shows-exactly-what-your-competitors-pay", "votes": 18, "created_at": "2025-10-02T01:47:21.804Z" } ] }, { "id": 31013, "name": "Rivet", "slug": "rivet-design", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28bd19a3fc057798d00b7402f78d585553560d40.png", "website": "https://rivet.design/", "all_locations": "San Francisco, CA, USA", "long_description": "Rivet helps designers explore dozens of directions from their agent. \r\n\r\nLearn more at rivet.design", "one_liner": "Explore dozens of design directions with your agent", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759433421, "tags": [ "Design", "Design Tools", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rivet-design", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/rivet-design.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rivetdesign", "x_url": "https://x.com/designrivet", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/28bd19a3fc057798d00b7402f78d585553560d40.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0a224c9217b4243fcff40b07d583ade8ee8c4660.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 206350, "full_name": "Sam Gorman", "title": "Founder/CEO", "founder_bio": "Founder of Rivet. Previously led product engineering teams as an early engineer at Snorkel AI. Built an app & grew it to 100,000+ users. Studied Product Design & Computer Science at Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gormansam", "x_url": "https://x.com/gormankind", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/809eda01806b6cef902bda76b7f9f496fefafcb6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94987, "title": "Rivet - Burn down your design backlog", "tagline": "Product designers use Rivet to own the UI of their codebase. ", "body": "**TLDR:** Product designers own the look and feel of their app’s interface with Rivet’s visual AI tools. No more waiting for engineers. Point at any element in your live product, change it, and ship it yourself. Rivet translates precise design intent into clean, reviewable code you can merge.\n\n# [→ Try Rivet today at rivet.design](https://rivet.design)\n\n# **Watch a customer polish their product with Rivet:**\n\nHere’s an example of how [Item](https://www.item.app/) (a design-first, AI native CRM) used Rivet to refine details in their UI.\n\n1. **Select any element** on a web application. Use your styles to change it.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/344678ec-87c2-4928-a80d-fed1f623d329)\n\n2. **Refine your UI**. Change spacing, colors, layouts. Get it pixel-perfect.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/6d172766-1402-44fa-952a-9d3d5dd067ae)\n\n3. **Ship it.** When you’re done, Rivet pushes quality code to your repo just like a frontend engineer on your team would.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/2da40da6-c814-4bb7-90d3-396c4995a894)\n\n# **The problem: Design debt piles up, even at the best companies.**\n\nEvery software company has a growing list of polish issues that never get fixed.\n\n* Broken loading states\n* Buttons that look wrong on mobile\n* Colors that don't match your app’s styles\n* Spacing that's off by 4px\n\nProduct designers live in these details, and they’ve been gated out of making real changes to real apps. Instead, they spend time crafting details that get lost when it comes to implementation.\n\nRivet helps designers own the quality of their interface, and frees up engineers to do more engineering work.\n\n## **Why I built Rivet**\n\nI’m a repeat founder and former early product engineer at Snorkel AI. I owned AI products for non-technical users as Snorkel scaled to Series D over 3 years. I started my career as a product designer and built at the intersection of design & engineering for the last 7 years.\n\nI built Rivet because I watched the work of brilliant designers get diluted. I think product designers today are like artists without a paintbrush. They have to ask others to paint for them instead. We should just give product designers a brush, and let them paint their masterpiece in code.\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/c566632e-8fc8-40c4-9d4c-a867bbfaa557)\n\n# **Designers → Start shipping today!**\n\n![uploaded image](/media/?type=post&id=94987&key=user_uploads/206350/4616fcce-815a-4ee8-b1d4-885386e67fe9)\n\n**Are you a product designer?** \n\n# **🎨  [Go to rivet.design and sign up](https://rivet.design)**\n\n**Not a designer? That’s great too!**\n\nSend [rivet.design](https://rivet.design) to your designer and let them start burning down your polish items\n\nYC startups and design studios are already using Rivet to shortcut design handoffs and fix every UI polish item they can think of. Designers are shipping their own work. And engineers are getting their time back.\n\n🟧 **YC deal:** We'll fast-track you off the waitlist & apply a YC discount\n\n✏️ Want to just rant about design handoffs or your growing backlog? Send your worst story to [sam@rivet.design](mailto:sam@rivet.design)", "url": "https://www.ycombinator.com/launches/Oi3-rivet-burn-down-your-design-backlog", "votes": 48, "created_at": "2025-10-29T01:26:52.491Z" } ] }, { "id": 31018, "name": "item", "slug": "item", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.png", "website": "https://item.app", "all_locations": "San Francisco, CA, USA", "long_description": "item connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s source of truth — one place where your team and your AI agents share the full picture to act autonomously.\r\n\r\nAt the center is the Assistant — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\r\n\r\nFor repeatable work, you build Agents that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.", "one_liner": "The AI-Native CRM that works for you", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1762209746, "tags": [ "B2B", "CRM", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/item", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/item.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/99138518", "x_url": "https://x.com/newitemco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/489b44af8e973c25eda472f6d5b28122caeafb54.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": 322839, "full_name": "Andres Santanilla", "title": "Founder/CEO", "founder_bio": "Building what comes after the CRM - 2nd time founder ", "is_active": true, "linkedin_url": "https://linkedin.com/in/asantanilla", "x_url": "https://x.com/asantanillaj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a2272e34b68c83be638d7987c2bf3c18f002b52.jpg" }, { "user_id": 1639094, "full_name": "Akshay Guthal", "title": "Founder/CTO", "founder_bio": "Building what comes after the CRM", "is_active": true, "linkedin_url": "https://linkedin.com/in/akguthal", "x_url": "https://twitter.com/akguthal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e2ee53ee004bf62a519be9c469eeb5479871fcf.jpg" } ], "jobs": [ { "id": 88275, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/item/jobs/xD9P6r7-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $200K", "equity_range": "0.50% - 0.99%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js", "Tailwind" ] } ], "news": [], "launches": [ { "id": 95143, "title": "item: The AI-Native CRM that works for you", "tagline": "The CRM that knows your business and works like your best employee", "body": "**Hey there 👋 we’re Akshay and Andrés, and we’re building _item._**\n\nLaunch video: https://youtu.be/x8Z5QZNjdWw\n\n\\\n**In a nutshell:**\n\n_item_ is the first agentic CRM, a system that does the work. A system that understands your business the way your best employee does, and works for you 24/7.\n\nIf you’re building the future and still running on a 10-year-old CRM, let us show you what it feels like to run autonomously → [item.app](http://item.app)\n\n**Meet Item**\n\n_item_ connects to all your customer tools, gathers and enriches context automatically, and becomes your company’s **source of truth** — one place where your team and your AI agents share the full picture to act autonomously.\n\nAt the center is the _Assistant_ — your sidekick for daily work. It can send follow-ups, research leads, or add deals with a simple prompt. No complex UI, drop-downs or fields, simply ask.\n\nFor repeatable work, you build _Agents_ that you can train like new hires, simply by writing documents that describe your processes. item Agents run business processes across sales, support, and account management autonomously.\n\n\\\n**The Status Quo**\n\nAI has changed nearly every part of work. Yet the system at the center, the CRM, hasn’t evolved. It’s manual, data incomplete, and still takes trained experts to setup and automate.\n\nWe believe a CRM should know everything about your company and be able to do human-level work on your behalf, just like your best employee would.\n\n\\\n**How it works:**\n\nAfter a meeting, item helps you send a follow-up based on the notes in that meeting and your history with that customer:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/38c59fd9-dc45-4ba6-a7db-69685a694356)\n\nitem searches the web to find information about any company or contact, allowing you to add deals with rich information without needing to enter fields yourself:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/f34649f4-38aa-4731-9b80-d49b6d2edf0d)\n\nYou can build agents in item to automate any recurring human-level process by writing a simple, Notion-style document:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/e61f581a-f4fa-402a-b16d-5955befb0a6e)\n\nitem gives you clean, context-rich contact and company profiles with table views and Kanban boards:\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/2607b996-e8bc-47b4-b861-0ce9c75293cf)\n\n\\\n**How companies use item Agents today to run autonomously:**\n\n* Outbound Sales: finding and contacting qualified leads on email and LinkedIn\n* Inbound Management: qualifying and responding to leads that sign up to a waitlist or a self-serve product\n* Growing Existing Accounts: tracking customer data and automatically sending personalized upsell sequences based on usage\n* Keeping Pipeline Warm: setting up item to auto-update deals from emails and meetings\n\n\\\n**The team**\n\nWe met at AngelList, building tools to help founders start and grow companies.\n\n_item_ comes from that same spirit — built with care, designed with intention, and shaped by a decade spent building systems of record at places like SAP, IBM, and Follow-Up Boss.\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/0a95c55d-4aeb-4fe0-9888-709855648103)\n\n![uploaded image](/media/?type=post&id=95143&key=user_uploads/322839/9e59aeeb-1ac0-4bc3-9d10-ce6f463974de)\n\n", "url": "https://www.ycombinator.com/launches/OkZ-item-the-ai-native-crm-that-works-for-you", "votes": 138, "created_at": "2025-11-03T23:52:58.025Z" } ] }, { "id": 31020, "name": "Mayflower", "slug": "mayflower", "former_names": [ "Torana" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb883c95b9e6914fdaf91adac754c2cbcb5b5.png", "website": "https://mayflowervisa.com", "all_locations": "San Francisco, CA, USA", "long_description": "Mayflower is building an AI-powered HR plug-in that automates immigration screening, eligibility checks, and compliance for global candidates. The platform parses documents, classifies visa pathways, and generates attorney-ready forms. By integrating directly with existing HR systems, Mayflower helps companies surface only compliant candidates, reduce legal risk, and streamline the international hiring process.", "one_liner": "AI plug-in that automates HR immigration screening and compliance", "team_size": 2, "industry": "Government", "subindustry": "Government", "launched_at": 1762890176, "tags": [ "GovTech", "LegalTech", "Immigration" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "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/mayflower", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/mayflower.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/mayflowervisa", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3ddcb883c95b9e6914fdaf91adac754c2cbcb5b5.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": 1760056, "full_name": "Aryan Gulati", "title": "Founder/CEO", "founder_bio": "CS @ Stanford | Working on making immigration compliance smoother", "is_active": true, "linkedin_url": "https://linkedin.com/in/aryanguls", "x_url": "https://x.com/aryanguls", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f912596b4894ad4dfe0dcb49ac2b84ebe55a803.jpg" }, { "user_id": 2976845, "full_name": "Naren Chittem", "title": "Founder/COO", "founder_bio": "WashU Alum | Working on making immigration compliance smoother", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/naren-chittem-aaa43826b/", "x_url": "https://x.com/NarenChittem", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52fb3b289cdb77494f739a577a25c2297f9aaf28.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31021, "name": "Zephyr Fusion", "slug": "zephyr-fusion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.png", "website": "https://www.zephyrfusion.com", "all_locations": "San Diego, CA, USA", "long_description": "Zephyr Fusion is building the first in-orbit fusion power source: a megawatt-class reactor enabling large-scale industry in space, at a fraction of the cost of equivalent solar.\r\n\r\nFounded by former physicists from Lawrence Livermore and Oak Ridge National Laboratories, Zephyr leverages decades of fusion research to deliver a compact magnetic confinement system designed to take advantage of the space environment.", "one_liner": "Powering tomorrow's industrial revolution in space", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1762532179, "tags": [ "Fusion Energy", "Hard Tech", "Satellites", "Aerospace" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zephyr-fusion", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/zephyr-fusion.json", "year_founded": 2025, "city": "San Diego", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zephyr-fusion", "x_url": "https://x.com/Zephyr_Fusion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c896e2a98ef03115005ed5ae8acd4500d7eea752.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": 2842889, "full_name": "Edward Hinson", "title": "Founder", "founder_bio": "Cofounder of Zephyr Fusion, an in-orbit fusion power company. 20+ years in mathematical modeling and experimental plasma physics. Former scientist at Oak Ridge National Lab and UW-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-hinson-078b15143/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d140c01f06bf0f6bd2775b56bbb6dd17665d759.jpg" }, { "user_id": 2938721, "full_name": "Galen Burke", "title": "Founder", "founder_bio": "Co-founder of Zephyr fusion, an in-orbit fusion power company. 15+ years in cutting edge diagnostics and plasma physics. Former scientist at Lawrence Livermore National Laboratory and the University of Wisconsin-Madison. PhD in Nuclear Engineering and Engineering Physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/galen-burke-78923317/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/98c843bf90dac8ffc44e771edb2b7073905edb05.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95415, "title": "Zephyr Fusion: In-orbit fusion power", "tagline": "Powering tomorrow's industrial revolution in space", "body": "**TL;DR: Most satellites are limited to kilowatt-scale solar power, constraining high-power applications in orbit. The unlimited vacuum in space allows a dipole magnetic confinement device to form the large plasma confinement regions fusion requires without bulky reactor hardware. With HTS magnets and declining launch costs, compact megawatt-class fusion in orbit is now within reach, unlocking an industrial space economy.**\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/f0f7e94a-1ebe-4b6d-8d0e-b4fa8aad7051)\n\n**Who We Are**\n\nHi everyone! We’re Dr. Galen Burke and Dr. Edward Hinson, founders of Zephyr Fusion. After years working on some of the hardest problems in fusion energy at Oak Ridge and Lawrence Livermore National Labs, we realized something fundamental: fusion actually gets easier in space.\n\nWe’ve been friends and collaborators since 2010 in grad school at the University of Wisconsin-Madison, where we operated a spherical tokamak. We subsequently continued research at premier fusion research facilities, like the W7-X stellarator in Greifswald and the premier US tokamak, the DIII-D National Fusion Facility in San Diego, as employees of US DOE National Labs. Between us, we’ve accumulated 35+ years of experimental fusion research experience, publishing in _Physical Review Letters_, _Nuclear Fusion_, and _Physics of Plasmas_, and others.\n\n**Launching Zephyr Fusion**\n\n“Fusion in space” sounds ambitious - and it is - but it is grounded in well-established physics and enabled by new economics. Zephyr Fusion exists because the physics and economics now align: high-temperature superconductors and drastically reduced launch costs make it possible to build compact, megawatt-class orbital fusion power. We’re here to bring real power to the space economy.\n\nOur goal is simple: Provide megawatt-class power in orbit.\n\nThe space economy is fundamentally power-limited. Most satellites operate on the power equivalent of a toaster or two. While the Sun provides about 1 kW/m², scaling solar beyond \\~10 kW rapidly becomes mass- and cost-prohibitive. For example, the ISS’s new 120 kW roll-out arrays cost roughly $100M, or about $1B/MW installed. Advancing beyond this power limit would catalyze a new economy: large-scale industrial activity, data centers, high-power electrical propulsion, large human habitats, and more.\n\n**Why Space Makes Fusion Easier**\n\nThe performance of magnetic fusion devices scales with the size of the plasma, specifically the magnetized vacuum volume they occupy. Magnetized vacuum is in fact the most essential resource for fusion plasmas. The performance improvement is quantified with “energy confinement time,” τₑ, roughly how long energy stays in the plasma. For tokamaks, global experiments have shown roughly:\n\nτₑ \\~ R²\n\nwhere R is the device radius. Fusion gets easier when the plasma is big.\n\nOn Earth, increasing plasma size forces the entire reactor to scale up with it, driving cost - which is why ITER - the world’s largest tokamak - has a \\~6m plasma radius and a \\~$65B price tag ([DOE 2018](https://www.govinfo.gov/content/pkg/CHRG-115shrg19104909/pdf/CHRG-115shrg19104909.pdf)). It is a research project, but ball-parking ITER as a 100MWe reactor, the expense amounts to $0.65B/MW - notably still less than what is being paid now for large-scale space solar, but a long way from commercial viability in the competitive commodity market back on Earth. The physics imperative for larger plasmas leads to devices that are larger still.\n\nBut in space, the link between hardware size and plasma size can be broken.\n\nA dipole magnetic field (which may be familiar from planetary magnetospheres), allows the plasma to form a large, self-organized region enclosing a single coil, extending into the external vacuum. In space, the outer boundary is not a physical wall but free vacuum. This “inside-out” configuration removes the dominant energy loss channel in terrestrial devices and allows for very large effective magnetized vacuum volumes with minimized hardware footprint. Furthermore, scalings obtained from the physics of magnetospheric dipoles appear to hold in dipole reactors as well ([LDX Nature Physics 2010](https://www.nature.com/articles/nphys1510)), implying that fusion power in a dipole reactor grows extremely strongly with radius.\n\nIn other words:\n\nA meter-scale dipole coil in orbit, that can be built today, can produce a magnetized volume exceeding that of ITER, at a tiny fraction of the mass and cost, and ITER-scale confinement may be accessible with hardware that fits on a SpaceX Falcon 9 launch vehicle.\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/b30c091c-ecb7-4b4d-9998-f738a5d5352c)\n\nDipole fusion reactors in space have been proposed before, notably by [Edward Teller](https://www.tandfonline.com/doi/abs/10.13182/FST92-A30057), but have only become practical now because:\n\n• Launch costs have dropped by \\~10x in the last decade.\n\n• Mass-produced, HTS tapes provide - 10x more field per kg in the last decade\n\nThe _two price shocks multiply_: cost of field-per-kilogram and cost of kilograms-to-orbit are both independently collapsing. In orbit this results in an ongoing “price shock squared” in just the resource we need for fusion: magnetized vacuum.\n\n**Why This Matters**\n\nPower is the final barrier to a real space economy:\n\n• Large computing and data centers in orbit\n\n• Industrial manufacturing and materials processing in microgravity\n\n• High-power electric propulsion stages\n\n• Defense platforms\n\n• Human habitats and long-duration exploration\n\nAll of these require MW-class power.\n\nHumanity's ability to harness concentrated energy has been the driving force behind Earth's industrial revolutions.\n\nWhen hydrocarbons arrived, heavy industry followed.\n\nWhen cheap, compact fusion arrives in orbit, the same thing will happen - off-planet.\n\nAnd the early movers shape the infrastructure layer.\n\nWe founded Zephyr Fusion because we believe the space economy is transitioning from exploration to industry, and industry requires power at scale.\n\nLet’s build it.\n\n**Ask**\n\n**Feedback -** We’d love to discuss the physics and roadmap - reach out anytime.\n\n**Introductions -** If you know satellite, defense, or other teams that have an interest in MW-class power, we’d appreciate intros. Let us know at [founders@zephyrfusion.com](mailto:founders@zephyrfusion.com).\n\nThanks!\n\n\\- The Zephyr Fusion Team\n\n![uploaded image](/media/?type=post&id=95415&key=user_uploads/2938721/ce082155-315b-44b0-af6a-017346eb99db)\n\n", "url": "https://www.ycombinator.com/launches/Oox-zephyr-fusion-in-orbit-fusion-power", "votes": 59, "created_at": "2025-11-12T06:56:27.373Z" } ] }, { "id": 31022, "name": "Coasts", "slug": "coasts", "former_names": [ "JSX Tool" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/14423e406f790420f115f8958c1af6eb85b97201.png", "website": "https://coasts.dev", "all_locations": "", "long_description": "A Coast (containerized host) is a local development runtime. Coasts let you run multiple isolated environments for the same project on one machine. As AI coding agents increasingly work in parallel across git worktrees, developers hit painful conflicts — clashing ports, duplicated databases, and fragile per-branch setup. Coasts solve this by giving each worktree its own fully isolated runtime, so multiple agents can build and test side by side without stepping on each other.", "one_liner": "Localhost service isolation and orchestration for git worktrees", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1762549706, "tags": [ "Developer Tools", "B2B", "Productivity", "Design", "Web Development" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/coasts", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/coasts.json", "year_founded": 2025, "city": null, "country": null, "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/jsx-tool/jsx-tool", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/14423e406f790420f115f8958c1af6eb85b97201.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": 179922, "full_name": "Jamie Sunderland", "title": "Founder/CEO", "founder_bio": "Second time YC founder. Former YC Product Engineer (I made the YC investor CRM). I like weird front end things a lot. In a former life I started Cheqout (YC W21), a QR-based ordering platform that grew to over 250 restaurants and $30M GMV during the pandemic. Before that I was a developer on Airbnb's China Risk Team.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jamesrainersunderland/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/55279d50203a8586e095775e92bc00711db83999.jpg" }, { "user_id": 3082625, "full_name": "Dan Hyman", "title": "Founder/CTO", "founder_bio": "Senior Engineer and Cloud/AWS expert with experience leading teams building enterprise applications and infrastructure. In a past life, I was a chef at a James Beard award winning restaurant.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dan-hyman-dev/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66c337a2349066c317e58730f0b8c9dec3f3a10b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 95312, "title": "JSX Tool: In-Browser React IDE", "tagline": "The AI first IDE for React development", "body": "**tl;dr**\n\nJSX Tool is an in-browser IDE that creates a common language between developers and AI for building React UIs. Click any element in the browser to jump straight to the relevant line of code and edit it yourself, or provide precise context to an LLM to make updates.\n\nhttps://www.youtube.com/watch?v=JIIXvN7vhrs\n\n---\n\n---\n\n---\n\n**The Problem**\n\nLLMs have transformed how we write code, yet they consistently struggle with precise UI updates. The common belief is that AI simply doesn’t do well with visual tasks, but the real problem is that we're asking LLMs to understand UI without giving them proper context. They’re great at vibe styling but not great at producing precise UIs.\n\nWhen you prompt an LLM about styling or component changes today, you're describing visual elements through text alone. It's like giving directions without a map. Meanwhile, developers juggle between browser DevTools, their code editor, screenshot tools, and component explorers just to gather enough context to make AI useful for these kinds of tasks.\n\n**Our Solution**\n\nJSX Tool addresses this by letting you click on any element and prompt your LLM with precise DOM context, the exact source component, its styles, and its position in the React hierarchy. Everything happens in one place: inspect, prompt, edit, and see changes instantly. \n\nAnd when AI suggestions aren't quite right, our full IDE is right there in the browser with that same context, so you can jump to the exact line of code you want to edit with a single click. You get the benefits of AI, while keeping the creative control and the nuanced decision-making that UI development demands.\n\nNow developers and AI models share a common language for UI; both can reference the exact same visual elements with clarity, turning LLMs from guessing machines into powerful UI collaborators.\n\n**@Tagging:** In your prompts, you can either type @ and click on a section of your webpage to reference another element relative to the one you’re focused on OR you can type @/ to mention files and directories you want the LLM to have as context in your prompt.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/2b76e7e0-6efc-4bb5-8b16-86f1cffd6f08)\n\n**CSS Editor:** JSX Tool has a CSS editor that is nearly as feature-complete as the native CSS style editors found in browser element inspectors. Instead of applying your changes to a single element, you can see how your change to a line of JSX code would be applied globally.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/f911aeb0-3a85-4e30-9042-d49fd4a06d61)\n\n**LSP Integrations:** JSX Tool ships with a lightweight IDE for manually editing code, but still an IDE that does some heavy lifting. The JSX Tool IDE integrates in language servers for common React development tasks, so you can have things like type-checking, auto-complete, and linting upon save. We currently ship with LSPs for Typescript, Tailwind, ESLint, and Prettier.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/3082625/57a590b7-b2c0-41e1-90c3-336c839b7219)\n\nTo learn more or start using the extension, go to [jsxtool.com](https://jsxtool.com)!\n\n_Note: IDE features are currently in app review and will be available in our next release._\n\n**Team**\n\nJamie and Dan grew up in New York City and have been working on projects together for nearly 20 years. Before JSX Tool, we most recently built a mobile app for bypassing news site paywalls.\n\nJamie is a second-time YC founder. Prior to starting JSX Tool, he worked as a Software Engineer at YCombinator on their investor software. He previously co-founded Cheqout, a restaurant technology company that was a part of the YC W21 batch. Prior to his first startup, Jamie worked on Airbnb's China Risk Team.\n\nJamie has had a deep interest in higher-order and visual programming for a while. He previously built a version control system to diff and merge structured, non-textual assets. Many of the technical problems encountered in that project were very similar to those encountered in JSX Tool.\n\nDan worked most recently as a Senior Software Engineer at Everblue, where he led engineering teams building workflow applications to power US government systems. Prior to that, he worked as a Senior Cloud Engineer at Sela US. He got his start in tech in the world of React and has since returned to his roots. In a former life, he was a Chef at a James Beard award-winning restaurant.\n\n![uploaded image](/media/?type=post&id=95312&key=user_uploads/89898/dc4d88be-c544-45e6-9936-8dd8f08e80aa)\n\n", "url": "https://www.ycombinator.com/launches/OnI-jsx-tool-in-browser-react-ide", "votes": 53, "created_at": "2025-11-09T16:01:49.332Z" } ] } ]