[ { "id": 29155, "name": "jo", "slug": "jo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c7f687c3a57d8f3b931f1e760657237991cb95.png", "website": "https://askjo.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "jo is a personal AI agent that keeps up with your work and life, surfaces what matters, and helps you follow through. It remembers relevant context, works proactively, and supports recurring workflows through autopilot while keeping you in control.", "one_liner": "The personal AI agent that keeps up with your work and life.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1734654585, "tags": [ "Consumer", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "jo is a personal AI agent for people who want help keeping up with work and life.\r\n\r\njo connects relevant context from conversations, Gmail, Google Calendar, Google Drive, contacts, messages, browser activity, and the Mac when users enable those sources. It uses that context to answer questions, produce daily briefings, surface reminders and follow-ups, keep projects warm, and support recurring workflows through autopilot.\r\n\r\nUnlike a chatbot that starts fresh with every conversation, jo maintains context over time. It can work proactively, but it does not give itself unlimited authority over a user's accounts. Summaries and briefings can run automatically when configured. Sending messages, changing calendars, making purchases, sharing private information, and other consequential actions require user approval.\r\n\r\njo is available on Mac and the web. The Mac app requires Apple Silicon. People can also use the same jo account and memory through mobile web, Telegram, and WhatsApp. Native mobile apps are planned but are not available yet.\r\n\r\njo is private by design. Each user has isolated cloud infrastructure and storage where applicable. Relevant information is sent to jo's services and the selected model provider only when a request or enabled feature needs it. jo uses model-provider endpoints and terms designed for zero retention or equivalent no-retention and no-training treatment. jo does not train AI models on users' raw communications, Google Workspace content, screen context, or voice data.\r\n\r\njo is generally available with no waitlist. It supports individuals and families. Each family member has a separate private jo, memory, boundaries, cloud machine, and storage, with controlled sharing for coordination." } ], "url": "https://www.ycombinator.com/companies/jo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/jo.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/askjoai", "x_url": "https://www.x.com/askjoai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/jo-inc", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c9c7f687c3a57d8f3b931f1e760657237991cb95.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": 133, "full_name": "Pradeep Elankumaran", "title": "Founder/CEO", "founder_bio": "I work on consumer companies.\nCo-founded: jo (w24), farmstead (s16), kicksend (s11)\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/pradeepelankumaran", "x_url": "https://www.twitter.com/pradeep24", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/08e83c41529ff2af41840a951f6b28fb5ac91835.jpg" }, { "user_id": 132452, "full_name": "Kevin Li", "title": "Founder/CMO", "founder_bio": "ex-CMO @ jo (YC W24), Co-Founder @ Farmstead (YC S16), intern @ Kabam. 🟤 in judo, love gymnastics rings, and video games 🎮", "is_active": false, "linkedin_url": "https://linkedin.com/in/liveink", "x_url": "https://twitter.com/liveink", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ddec76792417d020b389df200be0d7a575a5baf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 98307, "title": "jo 1.0 - a personal AI that actually knows you", "tagline": "Less \"chatbot\" and more \"a second brain that does things.\"", "body": "**Update:** jo is now generally available on Mac and the web, with no waitlist. It keeps up with your work and life, maintains useful context over time, produces proactive briefings, and supports recurring workflows through autopilot. Family support is available today, while native mobile apps remain planned. See the current product at [askjo.ai](http://askjo.ai).\\\n\\\n====\\\n\\\n**TL;DR -** [jo](https://askjo.ai) is a personal AI that runs on your Mac and a private cloud machine we host for you. It knows your life, improves itself autonomously, chats via  Telegram and WhatsApp, and never shares your data. Less \"chatbot\" and more \"a second brain that does things.\"\n\n\n\nHey YC! We're [Kevin](https://www.linkedin.com/in/liveink/) and [Pradeep](https://www.linkedin.com/in/pradeepelankumaran/), co-founders for a decade and consumer builders since the mid-2000s. For the last few years, we’ve iterated on an experience that’s zero compromise. It’s easy to use and gives consumers control over their privacy. \n\n🧠 **jo knows you.** jo improves over time as it learns your preferences, kids' schedules, travel habits, and work context. It reviews its own notes nightly and gets better as you use it. We’ve found the continuity over time to be immensely useful.\n\n🏠 **Your machine, your data.** Every jo macOS desktop app user also gets a dedicated cloud machine and storage. Personal data (photos, local files) never leaves your Mac without approval. Powerful cloud inference runs the best available models (OpenAI, Anthropic, Grok, Kimi with more on the way) on top of cloud providers that are barred from training on your data. \n\n⚡ **10x faster, everywhere you already are.** Voice on your Mac. Text & voice on  Telegram and Whatsapp. Consistent  memory and personality, 24/7.\n\n**What it does**\n\n* On your Mac, jo notices your browsing patterns and group chats, then clips related content (runs locally, doesn’t leave your Mac).\n* Sends morning briefings with weather, calendar, and reminders pulled from Gmail and Google Calendar, continuing on from where you left off the night before.\n* Controls a real browser with anti-fingerprinting and a high success rate to check availability, compare prices, and research.\n* Searches across every messaging platform conversation(including groups) and email to find things you've forgotten.\n* Runs background automations you set once: \"Every Thursday, send me a ideas for what to do this weekend\"\n* jo will not send emails or messages, but will draft and suggest your emails (Gmail).\n\n \n\n## **The self-organizing digital you**\n\n* Unlike other AI assistants, jo self improves to maximize  usefulness and fun.\n* Scan back as many months of your browser and messenger history as you want for jo to work with. \n* Scheduled and autonomous recurring work compounds data and preferences, all stored on machines you have access to with strict exfil policies.\n\n \n\n👉 **Sign up for the beta:[ ](https://askjo.ai/signup)[askjo.ai](http://askjo.ai)** (first 100 people skip the onboarding and can download ASAP)\n\n**Other things jo does**\n\n* Find Warriors v Lakers game tomorrow from my email, go on stubhub for tickets, pronounce them expensive, and suggest hockey games instead for that weekend to take a 9yo to.\n* Keep an eye on the “No Priors” podcast every day and send summaries in a specific format whenever there’s a new episode.\n* Mentioned a topic from a friend inside a group chat, found and did deep research on the topic when asked later. \n* Scanned all Gmail receipts and learned a bunch of facts about our families’ preferences, guessed which family members each one applied to and used it for later gift selection.\n* Get the guest list from a Partiful invite in my messages\n* Built a profile of what we like to read and send us recommendations on a schedule\n* Import your OpenClaw folder and settings\n\n## **Coming soon**\n\nNative mobile app, multiplayer (shared family/team assistants), trusted purchases, grocery shopping.\n\n**Built on open-source roots.** We stand on the shoulders of giants and contribute back.\n\n👉 **Sign up for the beta:[ ](https://askjo.ai/signup)[askjo.ai](http://askjo.ai)** (first 100 people skip the onboarding and can download ASAP)\n\nPlease share your feedback. Ask us anything.\n\n![uploaded image](/media/?type=post&id=98307&key=user_uploads/132452/8512374f-304f-422e-b56b-4fd9bf572d29)\n\n", "url": "https://www.ycombinator.com/launches/PZb-jo-1-0-a-personal-ai-that-actually-knows-you", "votes": 90, "created_at": "2026-03-01T22:00:59.828Z" }, { "id": 86433, "title": "jo: Your macOS Productivity Sidekick", "tagline": "The personal AI agent that keeps up with your work and life.", "body": "**Update:** jo is now generally available on Mac and the web, with no waitlist. It keeps up with your work and life, maintains useful context over time, produces proactive briefings, and supports recurring workflows through autopilot. Family support is available today, while native mobile apps remain planned. See the current product at [askjo.ai](http://askjo.ai).\\\n\\\n————————————\\\n\\\njo is a voice-first digital personality that works alongside you every day – a smart and efficient new friend who saves you time and money while improving your quality of life.\n\nAs of now, jo runs only on macOS desktop, and only on Apple Silicon. [Sign up for the waitlist here.](https://askjo.ai)\n\n\n\n# **What Makes jo Special?**\n\n_JARVIS_ and _Samantha_ are assistant archetypes created within the scarcity mindset of an obsolete age. Instead of waiting for you to ask, jo helps you proactively at the edge.\n\nAlways a ‘hey jo’ or ‘⌘-j’ away, jo works _alongside_ you, helping with the low stakes but high frequency actions that make up the high stakes ones - keystrokes, taps, speech and screen. A new type of assistance for a new age.\n\njo’s built on top of a set of local and remote LLMs, vector storage and tight audio/network macOS native desktop code that unlock a new set of composable primitives for how humans interact with AI efficiently.\n\nIn practice, jo gets you halfway to most of the way there for common workflows, building user trust for its next phase of development where we push towards autonomous completion of high stakes / low frequency projects.\n\n* **Speak or type to jo, it will speak and type back** – latencies are low enough that you can lean on jo all day as AI on your side that works hard for you.\n* **Ask jo to run pre-filled, custom-integrated searches to get info in seconds**\n * “pull up facebook marketplace to buy a new kettlebell and pull up videos of starter workouts on youtube”\n * “search flights to new orleans next weekend for 3 people”\n * “Arcane on netflix”\n * “new backpack under $100 on amazon”\n * “draft an email to city of sf asking for reimbursement on pothole”\n * “find the email from amazon where i bought the white table”\n* **jo's \"Live Summary\" follows your browsing around and summarizes the three key points of anything you read, rapidly refreshing with each page change.** \n * Generated using local LLMs that will be upgraded quarterly\n * You can also preview links in your browser ‘Arc’-style by pressing ⌘ while hovering over them.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/133/4f2180f8-53ca-4bc2-b7e2-03467bb603fc)\n\n* **jo syncs on the backend with both work & personal Google Calendars to help you manage your time better.**\n * Finds open slots, and helps you plan your day effortlessly.\n * _“Hey jo, find time for lunch with Sarah next week.”_ Done.\n * jo also groups proposed meeting slots smartly with existing meetings to increase long blocks of non-meeting time.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/133/7a0716b3-74a9-4390-97ba-93d54ffda7c3)\n\n* **jo remembers** choice information privately across many facets, uses that on every interaction to build a better picture of you, and actually attempts to be better (with your feedback).\n* jo is also **connected to a curated set of the big cloud LLMs** that you know and love, with comparable and controllable data access. Raw horsepower is available by default.\n* jo has a redundant architecture across LLMs, TTS and STT. As local and remote models improve in capability, **jo will inherit new abilities rapidly** as we build trust & tech towards truly agentic behavior\n\n[Sign up for the waitlist here >](https://askjo.ai). We are sending invites out every day.\n\n![uploaded image](/media/?type=post&id=86433&key=user_uploads/132452/c4be1773-a13c-49f2-be9a-722bd1262175)\n\n# **Why jo Feels Different**\n\n* **Natural and intuitive.** You actually talk to jo like you would a friend. No weird commands to memorize or crazy prompt engineering. No switching models.\n* **Ridiculously fast.** jo works as fast as you can speak. Summaries, browser tasks, calendar checks—it’s all instant since we built the app using native Swift for Apple Silicon and have spent weeks cutting latency across multiple integrated systems.\n* **No distractions.** jo’s got a clean, focused interface that keeps you in flow state.\n\n# **Designed For Composability**\n\njo’s new usability primitives are concise distillations of learnings over the course of a year from preview versions of jo on telegram mobile, group chat experiences, single-player experiences and now macOS desktop.\n\n1. \\*\\*\"Fast comms\"\\*\\*\\\n We speak faster than we type. We can read faster than we can listen. jo uses text and audio in/out, in parallel. Get the gist by listening, get the rest by reading.\n2. \\*\\*\"Async execution\"\\*\\*\\\n jo works _alongside_ you, not blocking your work loop. Handoff stuff for jo to do. If you're an engineer, it’s like spinning up many new Actors for your life.\n3. \\*\\*\"Work before I get to it\"\\*\\*\\\n jo kicks things off for you before you expend more cognitive effort. Start with the gist, then review the main points, then read the details.\n4. \\*\\*\"Save the important\"\\*\\*\\\n jo captures choice information privately in many facets, uses that on every interaction to build a better picture of you, and actually attempts to be better with your feedback.\n5. \\*\\*\"Be my agent\"\\*\\*\\\n jo pushes new info you care about to you, and reaches out on your behalf.\n\nChainable primitives like these wind up being compelling when they're composed into your ad hoc demands. \n\nUsing these primitives is the first step to building daily trust for true “agency”, where jo can execute high stakes goals (ex: organize and pay for expensive things, or draft and send critical emails). \n\nWhile it’s possible even now to “close the loop” with high stakes projects (for example jo sending an email or paying for a flight), we realized the trust building required needs a path, which is the true blocker.\n\n# **New Things You Can Do With jo**\n\n**Improve a low-stakes/high-frequency pattern you may do every day**\\\n“read hacker news” — With jo, you can now command-hover using jo over every interesting link in the list, getting an exec summary inline. Since this type of reading is usually ritualized behavior, jo will prioritize helping you process more info vs saving time. Soon, you can \"clip\" a live summary to save for later.\n\n**Start off a high-stakes, low-frequency request:** \\\n_\"find me a free weekend in the next month and show me new york flights\"_ — jo's connected to both your work & personal calendars and will run this search using google APIs, find the open weekends, and then pull up google flights in your browser with all the relevant info pre-filled. It's faster than you at this and you can chain more steps.\n\n**Complicated ad hoc requests:** \\\n_\"will i see a good sunset tonight in pacifica, and where can i eat after?\"_  — jo will use a pre-connected weather API, find temp and visibility, construct the answer, and will likely present the awesome Taco Bell on the beach as one of the places to eat without opening any browsers.\n\nWe are working towards jo being able to ambiently push you showtimes for this weekend for the new Ghibli movie because it knows (with your permission) that you and your 7yo like watching them together.\n\n## **Engineering at jo**\n\nBuilding jo is an ongoing systems engineering and LLM application/design challenge. We believe latency and quality trumps all for daily-use products like jo and are obsessed with improving both every single day. We’re just now scratching the surface and are sanding down the rough edges with this preview release. We’d love your help with unraveling any unexpected behavior you see.\n\nWe ship very fast with very small, very tight teams. Reach out if you:\n\n* Are a very senior macOS / iOS engineer AND/OR\n* Understand the nuances of fine-tuning local models\n\n# **FAQ**\n\n* **How do I try jo?**\n * [Waitlist is here >](https://askjo.ai)\n * We are sending invites every day. First come, first served.\n* **Why a waitlist?**\n * To ensure our systems keep up with the scale and usage.\n * To find and fix any bugs.\n * To listen to our early adopters and build.\n* **How does jo use LLMs?**\n * We run remote large models on Azure with contracts requiring no data sharing.\n * We run local small models on your machine for just the “live summary” feature (as of now).\n* **How do you save & share my data?**\n * We use hosted Postgres and a local vector data store running on our servers. \n * We send text to remote LLMs that are run on Azure, with “no data sharing” protections in place.\n * In our preview period, we’re using 3P audio transcribers and synthesizers, and you are also subject to their (sometimes changing) policies. More details upon request, and we are working to stabilize this.\n* **Hardware specs needed?**\n * Any Mac with a “M” chip\n * M2+ works best\n * M1 works fine but live summaries are a touch slower\n * At least 8GB shared RAM, more the better.\n* **Will there be mobile apps?**\n * Yes, shortly.\n * They will have similar functionality but will most likely start with just remote LLMs.\n* **Is my mic on all the time?**\n * No, only when you turn it on manually.\n * If you opt-in to the “hey jo” feature – if and only if jo’s mic is enabled, the system mic will remain on listening for the “hey jo” voice trigger\n* **Can I turn off ‘hey jo’?**\n * Yes. jo will still activate when you press ‘⌘-j’\n* **Can I use jo with just a chat window and turn off all audio?**\n * Yup, if you prefer. You can turn the audio input and audio output together and individually, on/off\n* **Is jo always watching my screen?**\n * No. Once you enable live summaries and active screen sharing, jo will only have access to the frontmost window on your desktop.\n * When this feature is turned off, no screen content is transmitted or processed.\n * Any screen that’s being cached remotely expires after 10 minutes.\n* **Why pre-filled searches and not running the searches yourself?**\n * Faster, chainable, more relevant, more control on the user’s side\n* **Can I get more detailed summaries than the short “live summary”?**\n * Yes, you can ask further questions of jo about any browser window/tab or (for now) select apps we support.\n* **Can I get my favorite local model to be the jo LLM?**\n * Not yet, but soon.\n* **Are you working on a local-only jo?**\n * That’s privileged info.\n* **How much does jo cost?**\n * jo is free to use during the preview period for the next 3 months.\n * More pricing details in early 2025.\n\n**Team**\n\njo was created by [Pradeep Elankumaran](https://www.linkedin.com/in/pradeepelankumaran) & [Kevin Li](https://www.linkedin.com/in/liveink/). We’ve been building consumer products for over a decade now. We love applying technology to unlock sustainable unit economic structures that improve the lives of every person in the world. \n\n**Available now for macOS. Join the waitlist on the site to get access today.**\n\n[Join the waitlist >](https://askjo.ai)", "url": "https://www.ycombinator.com/launches/MU5-jo-your-macos-productivity-sidekick", "votes": 51, "created_at": "2024-12-20T00:46:51.367Z" } ] }, { "id": 30408, "name": "Autostep", "slug": "autostep", "former_names": [ "Accrued" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a64ea75986bdbe206a8fe20ee9fdaaa44ad95e9e.png", "website": "https://autostep.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Autostep maps how work happens across a company for humans and agents, finds repetitive tasks and bottlenecks, and ranks them by cost and impact. Then it fixes them by building agents inside existing tools, changing the process, or finding the right software.\r\n", "one_liner": "The P&L for knowledge work", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1772173697, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/autostep", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/autostep.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/autostep-ai/", "x_url": "https://x.com/aidan__pratt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a64ea75986bdbe206a8fe20ee9fdaaa44ad95e9e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/abd07346ad5be2c7f356228c6b9d6e3b547f9a11.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 403669, "full_name": "Aidan Pratt 🥑", "title": "Founder/CEO", "founder_bio": "Aidan is the founder and CEO of Autostep. He studied Machine Learning and Computer Science at Georgia Tech and has been building and shipping products since he was a kid - hardware hacks, developer tools, AI agents - with dozens of projects launched along the way. Aidan has worked at seed to Series A startups with strong PMF. aidanpratt.com", "is_active": true, "linkedin_url": "https://linkedin.com/in/aidan-pratt", "x_url": "https://x.com/aidan__pratt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28fc669f74efecc22090851067a14caacca69a86.jpg" } ], "jobs": [ { "id": 105945, "title": "Founding Engineer, ML + Forward Deployment", "url": "https://www.ycombinator.com/companies/autostep/jobs/7XJCOTX-founding-engineer-ml-forward-deployment", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "React", "Rust", "TypeScript", "Windows", "MacOS", "Machine Learning", "Software Architecture", "Software Security", "LLMs", "Evals", "AI Agents" ] }, { "id": 105946, "title": "Founding GTM/SDR", "url": "https://www.ycombinator.com/companies/autostep/jobs/ySZUtf3-founding-gtm-sdr", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "Data Analytics", "Prototyping", "Prompt Engineering", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 103675, "title": "Autostep: Measure the ROI of Knowledge Work", "tagline": "Autostep: Measure Human and Agent ROI", "body": "I'm Aidan, founder of Autostep. We are raising to enable the P&L of knowledge work (link below).\n\n\\\nMost companies can tell you what they spend on AI. Almost none can tell you what came back. \n\nAutostep is a desktop app that installs across a company and maps real work. It finds repeated tasks, bottlenecks, waiting, and admin loops, then ranks them by cost and impact.\n\n\\\nFrom there, Autostep helps decide what should happen next: build an agent, change the process, standardize the workflow, or use software the company already pays for.\n\n\\\nProduct video: \n\nThe problem we are solving:\n\n* The blocker for AI adoption is proof and discovery. Before rollout, teams need the workflow to target and the capacity returned after the fix.\n* They still struggle to answer the board-level question: Did this return results? Autostep answers that from the work itself.\n\n\\\nHow it works:\n\n1. Install once across the org. No integrations\n2. Discover the cost of human & agent tasks.\n3. Measure Human ROI: where people lose time and how much capacity can come back.\n4. Measure Agent ROI: which AI workflows earn their cost and which burn money.\n5. Act: remove the step, standardize it, route it to the right tool, or build the agent.\n\nThe long-term bet is that Autostep becomes the system of record for work: the layer a company uses to see capacity, measure AI payoff, and eventually pay people for working smarter. This is different than automating a bad process faster.\n\n\\\nWe are already working with companies that have the same pain: leaders want AI to work, and operators need the scorecard before they add one more workflow to manage.\n\n\\\nOur ask:\n\n* If you know a COO, CFO, ops leader, or founder trying to prove whether AI is paying back, we would love an intro.\n* If you build agents or workflow automation products, let's talk. Autostep finds the work and can route teams to the right fix.\n* If you are an angel who believes every company will need an AI ROI layer, Aidan would love to compare notes.\n\nBook a demo: \n\nInvestors: \n\nExample human tasks:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/efe32ee3-91a7-4339-84a7-824e776fa5a7)\n\nRecommendations:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/1c03b4d2-5676-4caf-af57-5ebbaac1a3c4)\n\n", "url": "https://www.ycombinator.com/launches/QyB-autostep-measure-the-roi-of-knowledge-work", "votes": 5, "created_at": "2026-06-23T03:54:52.673Z" }, { "id": 98260, "title": "Autostep - Uncover Repetitive Tasks Ready For AI", "tagline": "Welcome to Autostep - Uncover Your Repetitive Tasks Ready For AI and Automate Them", "body": "Hey YC - I'm Aidan, founder of Autostep.\n\n**TLDR:** Every company wants to deploy AI agents, but almost none have a way to identify their best use cases. Autostep is a desktop app that installs across your organization to surface repetitive, high-cost tasks that fly under the radar. We rank them by cost and impact so you know what's worth automating, then build or find the right fix - whether that's an AI agent, a process change, or an existing tool.\n\n**Product:** \n\n**The Problem**\n\nThe bottleneck isn't tooling anymore, it's discovery. Without visibility into what people actually do all day, automation efforts are shots in the dark. Autostep is the layer that makes agent deployment rational instead of random.\n\nAutomation vendors start with the solution and hope you know the problem. We start with the problem.\n\n**Why Now**\n\nThe AI agent market is exploding, but adoption is stalling because there's no way to map operations at the level agents actually need. Autostep is the operational intelligence layer that every company will need before they can meaningfully deploy agents. We're not competing with agent builders - we're the prerequisite.\n\n**Compounding Context**\n\nThe tooling landscape shifts every month - new agents, new platforms, new vendors - and no team feels like they can keep up. Autostep gives you a living map of your operations, so you're not chasing the next tool. You're building compounding context about how your company actually works. When better AI arrives, you're ready to use the latest - not starting over. You stay ahead of competitors.\n\nThis is for those who want visibility into what their teams actually do - and agents that fit the work, not work that fits the agents.\n\n**Backstory**\n\nI’m Aidan. I studied ML and CS at Georgia Tech and have been building and shipping products since I was a kid. I’ve also spent the past 6 years working on automation-based products that led to this moment. Working at seed to Series A startups with strong PMF, I saw the same pattern over and over: companies wanted to automate but had no systematic way to figure out what was actually worth automating. That discovery gap is what Autostep solves.\n\n**Our Ask**\n\nIf you know any operations leaders or C-suite/leadership at companies who want visibility into what their teams are actually doing before throwing AI at the problem - we'd love an intro.\n\n**Book a demo: [https://calendly.com/aidan\\_/autostep](https://calendly.com/aidan_/autostep)**\n\nReach me, shoot an intro, or ask questions: 📧 [aidan@autostep.ai](mailto:aidan@autostep.ai)\n\nP.S.\n\n**Landing page (Just updated)**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2cafa97a-22cb-475d-9d2d-b9d275fd4206)\n\n**Tasks**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/abdeeff0-e4ee-48a8-82e2-c1e2724d11c3)\n\n**Recommendations**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2f117d23-2aaa-4f5e-bdd8-7d6a4f1dd7e6)\n\nLooking forward to making everyone auto-agentic,\n\n\\-A", "url": "https://www.ycombinator.com/launches/PYq-autostep-uncover-repetitive-tasks-ready-for-ai", "votes": 33, "created_at": "2026-02-27T15:57:49.783Z" } ] }, { "id": 30646, "name": "Humwork", "slug": "humwork", "former_names": [ "Qualify.bot" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/63357814f2f59989ae18e2736412df94c2d8bc31.png", "website": "https://humwork.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Humwork lets AI agents chat with human experts in real-time. When AI agents like Claude Code or OpenClaw hit a wall, Humwork's MCP server connects them to a verified domain expert in under 30 seconds. Our experts include senior engineers, lawyers, marketers, designers, and more.", "one_liner": "Human experts as API for AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1753843448, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/humwork", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/humwork.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/humwork", "x_url": "https://x.com/humworkai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/63357814f2f59989ae18e2736412df94c2d8bc31.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ccfcdf7872e603a523ce955ee56808f8eef95f4d.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 107538, "full_name": "Yash Goenka", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Humwork, where AI agents hire human knowledge workers. Prev AI engineer and 2x founder. Patent holder for graphene supercapacitor manufacturing. Built first LLM startup in 2021. UC Berkeley grad.", "is_active": true, "linkedin_url": "https://linkedin.com/in/yashvg", "x_url": "https://x.com/theyashgoenka", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fb0ec215f5f41f89f32b38224f0258ef27750634.jpg" }, { "user_id": 1524523, "full_name": "Rohan Datta", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Humwork, where AI agents chat with human experts in realtime. Prev. data scientist at MicroGrid Labs and research at UC Berkeley. BS & MS from UC Berkeley.", "is_active": true, "linkedin_url": "https://linkedin.com/in/rohan-datta-2500", "x_url": "https://x.com/OneRohanDatta", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d45663b6d125d757825d57e7e750a2d7e2aea6b.jpg" } ], "jobs": [ { "id": 94387, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/humwork/jobs/9V8MtEV-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$90K - $140K", "equity_range": "2.50% - 5.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "React Native", "Next.js", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 99775, "title": "Humwork - Connect AI agents with human experts in 30 seconds", "tagline": "When AI agents hit a wall, Humwork connects them to a verified expert in real-time", "body": "Hey everyone [👋](https://emojipedia.org/waving-hand)\\\n\\\nWe’re [Yash](https://www.linkedin.com/in/yashvg/) and [Rohan](https://www.linkedin.com/in/rohan-datta-2500/), co-founders of [Humwork](https://humwork.ai/).\n\n### **TL;DR:**\n\nHumwork is the real-time marketplace where AI agents call verified human experts when they get stuck. Add Humwork to any MCP-compatible agent, and when your coding agent, marketing agent, or research agent hits a wall, it gets connected to the right expert in under 30 seconds.\\\n\\\n\n\n\\\nHere’s the strange but true version of what we’re building: **AI agents will pay humans to chat with them.**\\\n\\\nThat sounds futuristic, but the need is already here. Anyone using tools like Claude Code, Lovable, or OpenClaw has seen the same failure mode. The agent gets 80% of the way there, then loops on the same bug, makes the same bad architectural guess five times, hallucinates an important legal nuance, misses the brand judgment call, or quietly produces something that looks right but is subtly wrong. If you’re not an expert yourself, you usually can’t even tell exactly where it went off the rails.\\\n\\\n**That is the gap Humwork fills.**\\\n\\\nWhen an agent gets stuck, it calls Humwork through MCP. We route it to the right verified expert in real time — a senior engineer, lawyer, marketer, designer, scientist, or other domain specialist — and the expert talks directly to the agent, not to the user. The answer gets pushed back into the agent’s context, and the work continues without the user leaving their workflow.\\\n\\\nIn practice, this means a coding agent stuck in a debugging loop can escalate to a senior engineer. A legal agent unsure whether a clause will actually hold up can escalate to a lawyer. A marketing agent that produced something polished but generic can escalate to someone with real taste and positioning judgment. Instead of failing silently or asking the user to rescue it, the agent gets expert help on demand.\\\n\\\nDevelopers and vibe coders hit this problem every day. A problem that a strong engineer can diagnose in a few minutes can send an agent into a 45-minute death spiral. And for non-technical builders, it’s even worse: the AI makes a mistake, but they don’t know enough to tell it how to recover. Their project stalls, not because the AI was useless, but because it needed one moment of human expertise.\\\n\\\n**Humwork gives AI agents a way to ask for expert help.**\n\nOur view is that this is where AI is going across all knowledge work. AI will do most of the execution, but humans will still sit at the edge for the hard decisions: architecture, compliance, judgment, taste, tradeoffs, and exceptions. Waymo has remote driver assistance for edge cases. We’re building the equivalent for AI agents.\n\nHumwork is live today. You can add one MCP server and give your agent an escalation path to verified experts in under a minute.\n\n### 💬 **Our Ask**\n\nIf you’re building with AI agents, try Humwork at [**humwork.ai**](http://humwork.ai).\n\nIf you’re building an AI agent product or running internal agents at your company, we’d love to talk about integrating Humwork as your human escalation layer.\n\nAnd if you’re an exceptional engineer, lawyer, marketer, designer, doctor, or domain expert who wants to get paid to help AI systems, we’d love to have you join the network.\n\nYou can reach us at [**founders@humwork.ai**](mailto:founders@humwork.ai) .\n\n### 👬 **The Team**\n\nYash and Rohan have been friends for 16 years, and both went to UC Berkeley for college.\\\n\\\nYash (CEO) was previously and AI engineer and is a 2x founder. He’s a patent holder for graphene supercapacitor manufacturing and built his first LLM startup in 2021. He studied Data Science at UC Berkeley.\\\n\\\nRohan (CTO) has worked as Data Scientist at Microgrid Labs and did drone imagine research at Berkeley. He’s previously built an AI voice calling platform that automated over 1 million minutes of phone calls. Rohan got his BS and MS in Civil Engineering from UC Berkeley.\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/63983a65-c01f-4094-bbd7-67b2d0542db6)\n\n![uploaded image](/media/?type=post&id=99775&key=user_uploads/107538/91c33ffc-ab44-44bf-b1d3-9bd756a08739)\n\n", "url": "https://www.ycombinator.com/launches/PxH-humwork-connect-ai-agents-with-human-experts-in-30-seconds", "votes": 25, "created_at": "2026-04-15T15:01:29.397Z" } ] }, { "id": 30723, "name": "Miso Labs", "slug": "miso-labs", "former_names": [ "Kamino Learning", "Dalta Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dd28df9a99151aedfe26a296d8e112af2bf4edb.png", "website": "https://misolabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Miso Labs is building the world’s most emotive foundation models for voice. Our goal is to pass the voice Turing test.", "one_liner": "Emotive foundation voice models", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1780176393, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/miso-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/miso-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108252929/admin/dashboard/", "x_url": "https://x.com/MisoLabsAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8dd28df9a99151aedfe26a296d8e112af2bf4edb.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": 2331815, "full_name": "Cassidy Dalva", "title": "Founder/CEO", "founder_bio": "co-founder @ miso labs | stanford alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cassidydalva/", "x_url": "https://x.com/cassidydalva", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cbab268681c424f56655c22856cef57ab87adee1.jpg" } ], "jobs": [ { "id": 107795, "title": "Data Operations Lead (Voice Data)", "url": "https://www.ycombinator.com/companies/miso-labs/jobs/yr4vHp9-data-operations-lead-voice-data", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$200K", "equity_range": "0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102518, "title": "Miso Labs - emotive voice models", "tagline": "Building the most emotive voice AI models", "body": "Today, we’re excited to introduce **Miso One, the most emotive voice model in the world.**\n\nMiso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.\n\nWe’ve open-sourced the model weights, with API access coming soon.\\\n\\\n[**https://www.youtube.com/watch?v=HizlJgDbac8**](https://www.youtube.com/watch?v=HizlJgDbac8)\n\nAll of these voiceovers were generated by Miso One!\n\n[**https://www.youtube.com/watch?v=QX6a_lUdwC8**](https://www.youtube.com/watch?v=QX6a_lUdwC8)\n\n[**https://www.youtube.com/watch?v=ywH2C4LKu9E**](https://www.youtube.com/watch?v=ywH2C4LKu9E)\n\n[**https://www.youtube.com/shorts/jTLNoUH85iY**](https://www.youtube.com/shorts/jTLNoUH85iY)\\\n\\\n**_Our ask:_**\\\nCheck out our repository and give us a star!\n\n[**https://github.com/MisoLabsAI/MisoTTS**](https://github.com/MisoLabsAI/MisoTTS)\n\nYou can also test out the model directly at [**misolabs.ai**](http://misolabs.ai).", "url": "https://www.ycombinator.com/launches/QfW-miso-labs-emotive-voice-models", "votes": 20, "created_at": "2026-06-03T17:54:30.376Z" } ] }, { "id": 30737, "name": "Foresight", "slug": "foresight", "former_names": [ "Fluentive AI", "Fluentive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e73e06f06f9c82efc635b55f38984d2cb9645b67.png", "website": "https://foresight.tt/", "all_locations": "New York City, NY, USA", "long_description": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. It lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.", "one_liner": "Consumer simulations for CPG market research", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778160677, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/foresight", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/foresight.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foresight-ai-inc", "x_url": "https://x.com/foresight_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e73e06f06f9c82efc635b55f38984d2cb9645b67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2560156, "full_name": "Eytan Rozenblum", "title": "Founder/CEO", "founder_bio": "Foresight builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions. \n\nIt lets organizations test countless possible moves in advance, see how each one is likely to play out, and choose the strongest path forward.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eytan-rozenblum/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88b88518703a38eb47794d7bd05f789e2706fbba.jpg" }, { "user_id": 2615403, "full_name": "Antoine Bertrand", "title": "Founder/CTO", "founder_bio": "I'm Antoine, a French engineer and second-time founder. I'm a builder at heart. I enjoy solving problems, creating products people love, and scaling them.\n\nBefore launching Foresight, I co-founded a gaming platform and grew it to 100k monthly active users as CTO. Earlier in my career, I spent five years at Bloomberg building software for the global fixed-income market.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antoine-bertrand", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92819eec246c25a681fc26597a03a5811b78113b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101056, "title": "Foresight - Understand your consumers better than ever", "tagline": "AI simulations to help companies predict how consumers will react before taking decisions", "body": "**Foresight** builds AI-powered simulations of human behavior to help companies predict how people will think, react, and choose before making real-world decisions.\n\nWe let organizations test countless possible moves in advance, see how each one is likely to play out in minutes, and choose the strongest path forward.\n\nOur clients make decisions with 25x more consumer evidence on average without increasing costs.\n\n**Foresight** is already trusted by marketers, advertisers, and insights teams across Fortune 500, retail, FMCG, and tech. In a blind benchmark with a Fortune 500 company, spanning 100+ paired estimates:\n\n* 95% accuracy against fieldwork\n* 0.88 Lin’s CCC (at the statistical threshold for method replacement)\n\n**Asks:**\n\n1. Have a use case you'd like tested? **We'll run a free audit for the first 10 companies who reply.**\n2. Intros to insights or marketing leaders are gold. Happy to return the favor!\n\n🚀 To celebrate launch week, the **first month is free** on any 3-month pilot signed before May 30. 🚀\n\nThanks 🙏\n\n**Antoine & Eytan**\n\n\n\n![uploaded image](/media/?type=post&id=101056&key=user_uploads/2560156/b3505f95-a1ea-4111-8ca2-e7913d332ec9)\n\n", "url": "https://www.ycombinator.com/launches/QHw-foresight-understand-your-consumers-better-than-ever", "votes": 8, "created_at": "2026-05-10T18:38:05.596Z" } ] }, { "id": 30779, "name": "Smartbase", "slug": "smartbase", "former_names": [ "Glade", "Sandfish", "Anytrace" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2468a3c8a7c5f1a0405c0920fd164d3512f5b6f7.png", "website": "https://www.smartbase.so/", "all_locations": "San Francisco, CA, USA", "long_description": "Smartbase is an AI-native ERP for manufacturers.", "one_liner": "AI-native ERP for manufacturers", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1753758221, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/smartbase", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/smartbase.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/smartbase-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2468a3c8a7c5f1a0405c0920fd164d3512f5b6f7.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": 1892312, "full_name": "Taira Fujioka", "title": "Founder/CTO", "founder_bio": "CTO @ Smartbase. Prev youngest SDE 2 at AWS SageMaker/Bedrock Inference building inference infra for enterprises such as Salesforce and JP Morgan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/taira-fujioka1999420/", "x_url": "https://x.com/tairabun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/763d06a3369600daebced0fa7a084aa7efeebb40.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99744, "title": "Smartbase: automated PO entry for manufacturers", "tagline": "We help manufacturers (e.g. job shops) remove the manual work from order entry.", "body": "Hey! We’re [Sam](https://www.linkedin.com/in/sam-goldman/) and [Taira](https://www.linkedin.com/in/taira-fujioka1999420/), the co-founders of [Smartbase](https://smartbase.so/).\n\n[**https://youtu.be/EsevybYIIrA**](https://youtu.be/EsevybYIIrA)\n\n# **The Problem**\n\nToday, incoming purchase orders are still entered into the ERP by hand.\n\nThis process often requires multiple full-time employees, especially for manufacturers doing custom or high-mix work.\n\nOrders arrive in every format imaginable: paper, email, fax, and sometimes even handwritten.\n\n# **The Solution**\n\nHere’s how Smartbase automates order entry:\n\n1. **Import POs**: Upload scanned orders to Smartbase, or connect Smartbase to your inbox for emailed orders.\n2. **Automatic data extraction**: Our AI turns even the messiest POs into ERP-ready data using your custom business rules (e.g. customer-specific pricing).\n3. **Review and approve**: Review orders in our dashboard, then click approve. They'll appear in your ERP.\n4. **Automatically print travelers**: Optionally, Smartbase can automatically print the travelers from your ERP.\n\n# **Our Team**\n\nWe’ve worked on factory floors, sat side-by-side with employees to learn their workflows, and even slept at a factory.\n\nSam (CEO) previously founded a DevOps platform that raised $2M. Taira (CTO) was the youngest SDE 2 at AWS SageMaker Inference, where he built AI infrastructure for enterprises such as Salesforce.\n\n# **Our Ask**\n\nIf you know someone who works at a manufacturer, we’d love an intro! Just email [sam@smartbase.so](mailto:sam@smartbase.so) to connect us.\n\nIf you’re interested in using Smartbase, schedule some time to chat [here](https://calendly.com/d/cr5v-f9f-kb3/smartbase).", "url": "https://www.ycombinator.com/launches/Pwm-smartbase-automated-po-entry-for-manufacturers", "votes": 23, "created_at": "2026-04-15T15:01:47.689Z" } ] }, { "id": 30915, "name": "FinalDose", "slug": "finaldose", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5910d81ebbfb17b7489c9613332140c02f40b7f4.png", "website": "https://finaldose.ai/", "all_locations": "Oxford, England, United Kingdom", "long_description": "FinalDose is building the first programmable drug - a single smart drug molecule that you can insert any diseased genetic code and it can search and destroy cells upon DNA recognition. Unlocking 80% of undruggable targets today. Starting with all cancers.", "one_liner": "Programmable DNA drug destroying all cancers, unlocking 80% of targets", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1778543597, "tags": [ "Gene Therapy", "Therapeutics", "Genetic Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/finaldose", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/finaldose.json", "year_founded": 2025, "city": "Oxford", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/finaldose/", "x_url": "https://x.com/LaunchFD2026", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5910d81ebbfb17b7489c9613332140c02f40b7f4.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": 2957085, "full_name": "Jeff Liu", "title": "Founder/CEO", "founder_bio": "CEO @ FinalDose (YC P26). Oxford PhD in Oncology. Previous startup (Vivid Dx) solved a multi-decade bottleneck in sepsis diagnostics: low biomass isolation. By overcoming this hurdle, we built the world’s fastest diagnostic system - slashing wait times from 5 days to just 30 minutes. Raised $15M in venture backing. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeff-liu-dphil-194a1372/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40b75cb23f98bd74b4723c275a4162aa93bf077d.jpg" }, { "user_id": 2973703, "full_name": "Li-Yao Huang", "title": "Founder", "founder_bio": "Founder at FinalDose (YC P26). DPhil in Biochemistry from Oxford, where he spent 5 years as a postdoctoral researcher at the MRC Weatherall Institute of Molecular Medicine. Led CRISPR screening projects uncovering new druggable targets in cancer cells and built pipelines reducing hit validation time from months to 7 days. Research focuses on BRCA1-deficient cancers and PARP inhibitor resistance mechanisms.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/li-yao-huang-13676b1b2", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/77397887331ff0b88bb08c778e46e6c5287cab42.jpg" }, { "user_id": 2973562, "full_name": "Steven Lin", "title": "Founder", "founder_bio": "Cofounder and CTO at FinalDose (YC P26). Oxford PhD in Computational Biology with Wellcome Trust full scholarship. Previously Data Lead at Gutsee Biotech. Developed novel machine learning method to use coevolution biology to identify genetic targets that convey drug resistance in viruses. During SARS-CoV-2 pandemic, led UK biobank analysis of human genetics susceptibility for infections", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/steven-shang-kuan-lin-b8438196/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f8f7cf0566508443b0ddfb7d92523f989207b5c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101229, "title": "FinalDose: The first programmable drug to cure all cancers", "tagline": "FinalDose is building the first programmable drug platform - a single smart drug molecule that finds diseased cells by their DNA and destroys them. We’re starting with all cancers.", "body": "**TL;DR**\n\n**For 60 years, drug discovery has chased proteins. But \\~85% of disease drivers don't have a druggable protein, making them unreachable for modern medicine. The deeper issue: most disease doesn't start at the protein, it starts in the DNA that codes for it. We built a programmable drug that reads DNA inside the cell, decides if it's diseased, and destroys the cell if it is. One platform, reprogrammed to any disease distinguishable on a DNA level.**\n\n![uploaded image](/media/?type=post&id=101229&key=user_uploads/2957085/2cb08187-4767-47e6-845e-1adc642aec61)\n\n[Check us out](https://www.youtube.com/watch?v=446etIvaYCM&t=2s)\n\n**❌ The Problem**\n\nDrug discovery hasn't really changed in sixty years. Pick a protein, throw millions of molecules at it, spaghetti at a wall, hoping something sticks. 10 years and $2.6B per drug.\n\nThe bigger issue is proteins aren't where most disease starts. Disease starts in the DNA. The protein is downstream - the symptom, not the cause. Which is why \\~85% of validated disease drivers have no druggable protein at all. Cancers driven by MYC, TP53, APC; Viral reservoir; clonal populations that drive systematic risk. All \"undruggable\" with the old protein playbook.\n\n**✨ Our Solution**\n\nWe went straight for the DNA.\n\nWe started with a DNA-sensing protein that undergoes a sharp structural change when it finds its target sequence. We hijacked that structure change and turned it into a kill switch:\n\n1\\. The molecule scans the genome for a hardcoded target sequence.\n\n2\\. When it finds the target sequence, our drug changes in structure\n\n3\\. The structural change triggers a kill switch\n\n4\\. The diseased cell containing the target DNA dies. Neighboring healthy cells are untouched.\n\nSame molecular  molecule, new guide → new drug. This means R&D cycle and cost collapses to near 0.\n\nThe compounding asset: we already have decades of human genetics telling us which sequences cause which disease. We're not searching for new biology - we're turning genetics that's already in the textbooks into drugs.\n\n**⚙️ Our Team**\n\n![uploaded image](/media/?type=post&id=101229&key=user_uploads/854295/ab013db6-2afe-4d60-a0b6-88a575695993)\n\n(Left) **Jeff Liu - CEO**. Oxford PhD in Oncology. Previous startup (Vivid Dx) solved a multi-decade bottleneck in sepsis diagnostics: low biomass isolation. By overcoming this hurdle, we built the world’s fastest diagnostic system - slashing wait times from 5 days to just 30 minutes. Track record of closing institutional rounds - $5M seed and a $10M Pre-Series A.\n\n(Middle) **Li-Yao Huang - CSO**. Oxford PhD in Biochemistry. Developed a comprehensive discovery-to-validation framework utilizing Cas9 and its derivatives to identify and verify novel therapeutic targets from high-throughput genetic-genetic and genetic-drug interaction data. Scientific lead in molecular biology, cellular assays, construct engineering.\n\n(Right) **Steven Lin - CTO**. Oxford PhD in Computational Biology. Previously Data Lead at Gutsee Biotech. Developed novel machine learning method to use coevolution biology to identify genetic targets that convey drug resistance in viruses. During SARS-CoV-2 pandemic, led UK biobank analysis of human genetics susceptibility for infections\n\nThis will be the most general curative modality for any genetic mutation driven disease ever. Love to chat!\n\nFind us at [founders@finaldose.ai](mailto:founders@finaldose.ai)", "url": "https://www.ycombinator.com/launches/QKj-finaldose-the-first-programmable-drug-to-cure-all-cancers", "votes": 37, "created_at": "2026-05-12T15:47:16.378Z" } ] }, { "id": 30944, "name": "Prism", "slug": "tryprism", "former_names": [ "Grappl", "HireGlide" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e52603aa2143dd9017a5e541c9233008c5afe63.png", "website": "https://tryprism.com/", "all_locations": "London, England, United Kingdom", "long_description": "Prism is an AI-native recruiting agency. We use software and agents to find companies better people faster.\r\n\r\n", "one_liner": "AI-native recruiting agency", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1762295048, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tryprism", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tryprism.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/tryprismrecruiting/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e52603aa2143dd9017a5e541c9233008c5afe63.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": 2051069, "full_name": "Theo Kitsberg", "title": "Founder/CEO", "founder_bio": "Academic scholar at Cambridge before dropping out and published in CHI '26 for work at MIT's Media Lab and the Cambridge Computer Science Faculty. Now building Prism, where agents find and engage the best talent using our in-house, world-leading people search tool. Ran recruiting and training for a mental health helpline whilst at Cambridge. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/theokitsberg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3858c32182379f36018f77bcec5d2003ccf4e9e8.jpg" }, { "user_id": 2374327, "full_name": "Axel La Pira", "title": "Founder/CTO", "founder_bio": "Prev. Computer Science and Philosophy at Oxford (placed 2nd in oxford cohort), Ex- ML @ Citadel, ex-founder Associate @ Alan, now building Prism, your AI recruiting agency", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/axellapira", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1f761215e3b0291ed331824720a7292cff8c98d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101452, "title": "Prism: AI-Native Recruiting Agency", "tagline": "Prism 🔍 AI-native recruiting agency The highest-scoring people search ever benchmarked, plugged into an agency that hands you hires ready to interview.", "body": "Hey everyone 👋\n\nWe're [Theo](https://www.linkedin.com/in/theokitsberg/) and [Axel](https://www.linkedin.com/in/axellapira/) — cofounders of [Prism](https://tryprism.com/).\n\n**TL;DR**\n\nPrism is an AI-native recruiting agency. You brief us on a Slack channel. We source, engage, and screen the candidates. You step in to interview and make the offer. You pay 15% of first-year salary when someone we find signs.\n\nThe engine underneath is the best people search in the world. We score 89.6 on the Public Sourcing Benchmark. This puts us 21+ points ahead of every published baseline and the benchmark was built and published by one of our direct competitors.\n\n**Ask:** Hiring, or know someone who is? Reply here, DM, or grab a slot: \n\n❌ **The Problem**\n\nHiring is a company killer. Founders spend a third of their time on it. Bad hires cost more than missed quarters. Good hires change companies.\n\nAnd yet the work itself is brutal. Inbound is 95% noise. Outbound competes with everyone else's outbound. Agencies are slow, expensive, and opaque. Software dumps thousands of half-relevant profiles on your desk and walks away.\n\nThe hardest part of hiring isn't picking the tool. It's doing the work.\n\n🛠️ **Our Solution: an AI-native agency, built on the best people search in the world**\n\n![uploaded image](/media/?type=post&id=101452&key=user_uploads/2051069/8aca8a76-91fb-41f6-9312-59e3c9e7e2af)\n\n**The best people search, independently verified.** 89.6 on the Public Sourcing Benchmark. 21+ points clear of the next system. The benchmark was built and published by Lessie, one of our direct competitors. The judge is Gemini, not us. The methodology was pre-registered and the queries and harness are public. Anyone can reproduce it. Read the full paper here: tryprism.com/papers/people-search-benchmark.pdf\n\n**Calibration, not just keywords.** We extract the hidden hiring criteria buried in your JD and your past hires. A few thumbs-up / thumbs-down on early candidates and the search converges fast.\n\n**Outreach that converts.** We engage candidates across LinkedIn, email, and WhatsApp, with messages calibrated to the role and the person.\n\n**Scale agencies physically can't match.** We run dozens of searches in parallel today, every step instrumented. A traditional agency on a senior role has one human reading 20 profiles at a time. We read the whole web at once and use human time only where it actually matters.\n\n**You brief us on Slack. We hand you a shortlist.** You handle the parts a founder should, which in our view are the interviews and the offer. Everything else is on us.\n\n**Pricing:** $500 retainer to kick off a search. 15% of first-year salary when someone we find signs.\n\n👬 **The Team**\n\n**Theo (CEO)** — Cambridge dropout. Built and ran recruiting and training for a UK crisis helpline. Published research with MIT’s Media Lab.\n\n**Axel (CTO)** — Oxford dropout. Previously founder associate at Alan, the French healthtech unicorn, where he worked on internal recruiting infra.\n\n(+ an **amazing founding engineer** and **amazing in-house recruiter**, both hired with Prism!)\n\n🙏 **Our Ask**\n\n🔵 **Hiring?** Run a search with us. Reply, DM, or grab a slot: \n\n🔵 **Looking for your next role?** Meet Ray, our AI career advisor. One conversation and we'll match you with companies hiring people like you. Free [here](https://tryprism.com/?view=candidates), takes a few minutes\n\nThanks!\n\nTheo & Axel", "url": "https://www.ycombinator.com/launches/QOK-prism-ai-native-recruiting-agency", "votes": 12, "created_at": "2026-05-18T17:13:33.801Z" } ] }, { "id": 30963, "name": "Teaflask", "slug": "teaflask", "former_names": [ "Something Labs", "Waffer", "TakeCareOS" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/60aeb885d926aa8c00319dc0338da8f9a62f3786.png", "website": "https://teaflask.com", "all_locations": "San Francisco, CA, USA", "long_description": "Teaflask is the AI layer for software companies. It lets any SaaS company put an agent inside its product that carries out tasks for its users, with the controls enterprises require. Customers go live in a day, without a rebuild.\r\n\r\nCalling a model is the easy part of shipping an in-product agent. The hard part is everything around it: streaming, crash recovery, scaling, guardrails, interfaces that match the product, and knowledge that stays current as the code changes. Teaflask handles all of it with no backend changes, and gives product teams visibility into how their users actually use the product.", "one_liner": "Make your product AI native by tomorrow.", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1760645046, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/teaflask", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/teaflask.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/teaflask/", "x_url": "https://x.com/TeaflaskHQ", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/60aeb885d926aa8c00319dc0338da8f9a62f3786.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": 1978093, "full_name": "Ragav Sachdeva", "title": "Founder/CEO", "founder_bio": "Founder of Teaflask | PhD at Oxford | Ex- Nvidia, Google, Microsoft", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ragavsachdeva", "x_url": "https://x.com/ragavsachdeva", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ce4841c2cda8d8e28dbfbbabffc9ab425b0668c4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 122231, "title": "Teaflask - Make your existing SaaS AI-native by tomorrow (self-serve, BYOK)", "tagline": "Teaflask is a managed platform for adding an agentic frontend to the SaaS product you already ship. ", "body": "60s brainrot-style tldr: \\\n\\\nHello hello, Ragav from Teaflask here!\\\n\\\nTeaflask is a managed platform for adding an agentic frontend to the SaaS product you already ship. The platform is **self-serve**, you can **bring your own Anthropic/OpenAI keys** (particularly great for companies with lots of credits!). Most of the core product is available on Free plan with generous rate limits. Paid tier is for companies who want dedicated support and SLAs.\n\n**What it is:**\\\nTeaflask has two parts: a ready-to-deploy package that becomes part of your product’s frontend, and a managed platform that runs everything behind it.\n\nThe package can appear as a full page, sidebar, corner widget or command palette.\n\nIt can:\n\n* Answer users’ questions about your product\n* Read the current page and navigate users to the right place\n* Fill forms for users to review\n* Call your product’s APIs on a user’s behalf\n* Complete long, multi-step workflows\n* Delegate background work to subagents\n\nA particularly cool feature is: **tool views**. You can provide your own UI components for each tool, so an invoice lookup can render as an invoice component, an availability check can show a calendar etc. They can be configured to render per state (called, running, finished, failed, awaiting approval etc). See the gif below for an example.\\\nThe managed platform behind the package provides your product knowledge (**catches stale docs!**), model runtime, action controls, approvals, conversation history, real-time streaming, durable execution and autoscaling required to make this work.\n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/eea3e622-b18e-4d27-90e7-6ddf7765e660)\n\n\n**Sidenote** about the package: It’s a react package but non-react builds can import a <script> tag and get the same functionality. The default package’s UI is pretty polished and ready to deploy as is. Nevertheless you can customize its theme (or even use it headlessly if you’d rather build your own UI).\n\n**How it works:**\n\n* You connect your GitHub repository to Teaflask. This is optional, although you lose some important capabilities if you skip it. More on that below.\\*\n* Teaflask scans the codebase and does two things:\n * It helps you write documentation for your product, which you can optionally publish as a public help centre.\n * It discovers API operations and proposes an action catalogue, or agent tools, that you can set to **Allow**, **Ask** or **Deny**.\n* In the Teaflask dashboard, you configure the system prompt, model, memory, actions, skills and other capabilities.\n* You add the @teaflask/assistant package to your frontend and connect it to your existing API client. A coding agent can usually get the whole thing set up **in about an hour.**\n\nAt runtime, the split is fairly simple: the model and agent loop run on Teaflask’s infrastructure, while anything that needs to interact with your product happens in the user’s browser.\n\nWe manage the model-provider calls, routing, auto-summarization, guardrails, memory, subagent orchestration, streaming and durable execution. Reading the current page, navigating, filling forms and calling your API happen through the Teaflask package in the browser.\n\nAPI requests use the signed-in user’s existing session. From your backend’s perspective, the request is being made by that user, through the same authentication, permissions and business logic your product already applies. You do not need to rebuild your backend or give Teaflask administrator credentials.\n\nIf a task needs approval, the run pauses and asks the user. If it takes a long time or the user closes the page, the run can resume from where it stopped.\n\n\\***What happens if you don’t want to connect your repo?**\n\nYou can choose not to connect a repository and instead write the documentation manually and upload an API specification (openapi, swagger, graphql) for Teaflask to prepare the action catalogue from. You lose two things by doing this.\n\n* **Teaflask has a provenance engine** that checks verifiable documentation claims against your latest production code. If something stops being true as the codebase changes, Teaflask flags it and can propose a correction.\n* Teaflask can rescan the codebase and **propose updates** to the action catalogue as your API changes. Without repository access, you are responsible for keeping both the documentation and API specification current.\n\nI recommend connecting your repo. Teaflask has read-only access and the sandbox your repo is \\[temporarily\\] cloned into is network fenced.\n\n**Additional features (not GA yet):**\n\n* A testing/simulation engine where you can replay conversations and workflows. Great for **testing** if smaller/cheaper models can achieve the same outcomes, if changing the model config breaks something etc.\n* Let your own users bring their own AI subscriptions.\n\n**Asks:**\\\nI would especially appreciate feedback on:\n\n* Which parts of the setup feel like too much work.\n* Whether you need server-to-server API actions in addition to browser-executed ones, particularly for operations a normal end user cannot perform (a use case that has come up is if you want to build-your-own AI customer service agent; you typically don’t expose APIs like “issue refund” etc. directly to the users). If so, what authentication and approval model would you expect?\n\nIf you’re scoping Teaflask for your company, I’d love to hear from you. Please book a call using \n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/aa698d82-5c3d-4fdf-bb6f-2f094ecde245)\n\n![uploaded image](/media/?type=post&id=122231&key=user_uploads/1978093/61fc56a7-c913-44d8-aeb3-9caa54ca1b2c)\n\n", "url": "https://www.ycombinator.com/launches/VnT-teaflask-make-your-existing-saas-ai-native-by-tomorrow-self-serve-byok", "votes": 3, "created_at": "2026-10-14T21:53:28.379Z" } ] }, { "id": 31041, "name": "Ploy", "slug": "ploy", "former_names": [ "[Placeholder] Bryant Chou NewCo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccc3c5e484f835514f0cfb2db7ddd1510a6b0be4.png", "website": "https://ploy.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Ploy turns your website into your company's growth engine. ", "team_size": 14, "industry": "B2B", "subindustry": "B2B", "launched_at": 1780958556, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ploy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ploy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ploy-ai", "x_url": "https://x.com/ployai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ccc3c5e484f835514f0cfb2db7ddd1510a6b0be4.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": 5667, "full_name": "Bryant Chou", "title": "Founder", "founder_bio": "cofounder and CTO — vungle ➡️ $LFTO (2011-2013)\ncofounder and CTO — webflow (2013-2025)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bryantchou", "x_url": "https://x.com/bryantchou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f9509aa428b058a8eb3786903df1d3440f0637a5.jpg" } ], "jobs": [ { "id": 93359, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/ploy/jobs/XsX0ycv-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 103433, "title": "Ploy turns your website into your company's growth engine.", "tagline": "Ploy is an all-in-one marketing platform built around your website, the hub that connects all of your growth channels.", "body": "After 12 years as the cofounder and CTO at Webflow I left fulfilled knowing folks can design beautiful sites without writing code — but now I'm out to make sure your website doesn't just look great, but it becomes your business' main engine of growth.\n\n\n\nAgents have changed what's possible, which is why I'm building again. Ploy deploys swarms of marketing and web design agents that monitor your site and proactively launch campaigns, content, and optimizations.\n\n**TL;DR [Ploy](https://ploy.ai/)** is the marketing platform that turns your website into your company's growth engine. Connect your site and swarms of marketing agents run it for you: designing pages, writing copy, launching campaigns, and optimizing what's working. \n\n## The Problem\n\nMost founders ship an early website and then forget about it. In the early days, a single-page site is often good enough... but once you start signing more customers, your website becomes a critical growth lever.\n\nIf you're a founder looking to activate your website, you have a few options: hire a marketing lead, work with an agency, or try to vibe code together a few landing pages and growth flows. These are expensive and distracting during a time when you should be focused on customers and your product.\n\n## The Solution\n\nPloy gives founders the marketing infrastructure of a growth team without needing to make an early hire. Here's how it works:\n\n### 1. Get your site on Ploy in minutes.\n\nPaste your URL and Ploy slurps your site down to the last pixel — extracting your design system, components, and brand content. Don't have a site yet? Ploy can design and build one from scratch, trained on thousands of modern web design patterns.\n\n### 2. Run PloyBooks — marketing strategies on autopilot.\n\nPloy's agents come pre-trained with expert skills we call PloyBooks. Spin up a set of ABM pages targeting a new account and publish them under your domain in minutes. Run an SEO audit. Redesign an underperforming landing page. Launch paid ads. And if there isn't a PloyBook for what you need, write your own, and Ploy's agents will handle the rest.\n\n### 3. Your website and your company scale together.\n\nPloy watches your traffic, spots gaps and opportunities, and proactively suggests new Ploys for you to run. And it remembers everything as you grow: every experiment, every page, every campaign that did (or didn't) resonate with your customers. Over 13% of the YC P26 companies are using Ploy to power their website and to drive automated revenue. The earlier you plug Ploy into your business, the smarter it gets about what actually works for you. \n\nAnd Ploy keeps working even after you add marketers to your team. Companies like Hex and Clay are using Ploy to run programmatic SEO engines and generate ABM pages at scale.\n\n## Why we're building this\n\nI've spent most of my career working on websites, and I think the space is about to change more in the next few years than it has in the last 15 combined. I was CTO of Vungle, then spent 12+ years as co-founder and CTO of Webflow, where I built the core product, CMS, and hosting that now power \\~1.5% of the internet.\n\nAI has unlocked a new class of agents and primitives that make the website a game-changing growth hub and marketing system of record. That's exactly why I'm stoked to be building Ploy alongside a killer founding team here in San Francisco.\n\nRun your first Ploy today: \n\n![uploaded image](/media/?type=post&id=103433&key=user_uploads/5667/67ea05c2-1fd3-4da2-b885-baa6f1f522fd)\n\n", "url": "https://www.ycombinator.com/launches/QuH-ploy-turns-your-website-into-your-company-s-growth-engine", "votes": 23, "created_at": "2026-06-17T14:06:07.903Z" } ] }, { "id": 31043, "name": "Advanced Metal Research", "slug": "advanced-metal-research", "former_names": [ "Gradient Robotics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.png", "website": "https://advancedmetalresearch.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "America does not just need more welders. It needs welding knowledge that can scale.\r\n\r\nThe American Welding Society projects 320,500 new welding professionals will be needed by 2029, with about 80,000 jobs to be filled annually from 2025 to 2029. More than 157,000 current welding professionals are approaching retirement. Welders are only a small share of the skilled-trades workforce, but welding accounts for an outsized share of projected capability demand. \r\n\r\nThe market calls it a labor shortage. AMR sees a learning bottleneck.\r\n\r\nWe are building American-made robotic welding cells that combine computer vision to provide real-time seam tracking and post-weld inspection to turn welding from a scarce manual process into a closed-loop manufacturing system that learns from every weld as it happens.", "one_liner": "Machine intelligence for American Welding", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778801477, "tags": [ "Hardware", "Robotics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/advanced-metal-research", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/advanced-metal-research.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/advanced-metal-research/", "x_url": "https://x.com/amrwelding", "fb_url": null, "cb_url": null, "github_url": "https://github.com/gradient-industrial-robotics", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d5a7969eb6dca800d7d66a510da584091e078f33.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": 2387747, "full_name": "Angus Muffatti", "title": "Founder/CEO", "founder_bio": "+Last startup hit first $1m in 18 months &\n$10m val at last investment from largest\naussie real estate group\n+ 3 published ML & AI optimisation papers\n+ Designed & built liquid bi-propellant\nrocket engines & test facility", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/angusmuffatti/", "x_url": "https://x.com/dirtman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/646784bdfdad91fa4bd900a67f40c8583fd68bc8.jpg" }, { "user_id": 2392080, "full_name": "Julian Fried", "title": "Founder", "founder_bio": "Building robotic welding equipment | Prev. Welding foreman in Eastern PA 🇺🇸", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-fried-460691226", "x_url": "https://x.com/JulianFried", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9dfec594b322db9fff20733f9980b38f0e6d6fb3.jpg" }, { "user_id": 1654103, "full_name": "Stephen Lin", "title": "Founder", "founder_bio": "Founder at Advanced Metal Research. Previously at NASA working on spacewalks and planetary exploration. Built systems used by mission control for 19 spacewalks to date enabling real-time telemetry & monitoring of EVAs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stephen-lin-0/", "x_url": "https://x.com/Perandex", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8e89340e2cecc6871ebdb5fe3b69da1781422744.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31046, "name": "Linzumi", "slug": "linzumi", "former_names": [ "[Placeholder] Sean Grove NewCo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cfae971c0f6dc34ce7d88e4c9086b3ed9aa19e2.png", "website": "https://linzumi.com", "all_locations": "San Francisco, CA, USA", "long_description": "Linzumi is the chat your engineering team uses to direct dozens of AI coding agents.\r\n\r\nKick off work, review it, ship it. All from chat.\r\n\r\nSee every agent's work. Unblock the agents that need you from your laptop, your phone, the coffee line. Your teammates see it too.\r\n\r\nEvery decision your team makes compiles into a source of truth - what to build, why it changed, how your agents should act. That same source generates new work and verifies completed work.\r\n\r\nDeliberative alignment, repurposed from aligning LLMs to aligning companies.", "one_liner": "Team chat to command all your company's coding agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1781215175, "tags": [ "Developer Tools", "Chat", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/linzumi", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/linzumi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/linzumi", "x_url": "https://x.com/linzumi_ai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/linzumi/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5cfae971c0f6dc34ce7d88e4c9086b3ed9aa19e2.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": 19683, "full_name": "Sean Grove", "title": "Founder/CEO", "founder_bio": "Sean Grove builds systems that turn human intent into reliable software. At OpenAI he spent years in post‑training and alignment reasoning, helping develop model‑spec infrastructure and deliberative‑alignment techniques. He founded OneGraph (acquired by Netlify), was Principal Architect at Netlify, and now builds Linzumi.\n\nSean enjoys writing about himself in the third person. Sean hungry. Sean work hard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/segrove/", "x_url": "https://x.com/sgrove", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/191f665e0d237b1ec833317705481175705c4b40.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103435, "title": "Linzumi: team chat for directing AI coding agents", "tagline": "Team chat for directing dozens of AI coding agents", "body": "# Hi everyone, I'm Sean, and I’m launching Linzumi today\n\n**Linzumi is the team chat your engineering team uses to direct dozens of AI coding agents at once.** Kick off work, review it, ship it: all from chat. Try it at .\n\n> For a limited time, every team chat account also gets free daily access to state of the art open-weights intelligence, GLM 5.2 at high speed, through our partnership with [Wafer.ai](http://Wafer.ai).\n\n\n\n## The problem\n\nThe bottleneck in software has moved. Execution is basically free now: AI agents can write, test, and ship code 24/7. _The new constraint is human decisions and verification_. Whoever surfaces the right decision to the right person at the right moment unlocks 10x throughput. Whoever doesn't watches their agent fleet stall.\n\nIf you've ever tried to keep three coding agents productive at once, you know the feeling. You jump between PR tabs, miss approvals buried in Slack, and find one agent has sat idle for 20 minutes waiting on a one-line decision. It's a fascinating moment to be building software: vastly easier and vastly harder at the same time.\n\n![uploaded image](/media/?type=post&id=103435&key=user_uploads/19683/9019e12e-5088-4b41-9321-28a417dade5a)\n\n## How Linzumi works\n\nConnect your machine, kick off work in chat, and review what every agent is doing from your laptop, your phone, or the coffee line. Works with Codex today, Claude Code coming soon. Your teammates see it all too: agent work is no longer buried in invisible terminals.\n\n\n\nBut the real unlock is underneath. As your team works, Linzumi keeps every decision close to the work itself: what to build, why it changed, who approved it, and what the agents should do next. The decision inbox surfaces only the calls that need a human, so instead of reconstructing context from terminals, PRs, chats, and memory, your team has one shared place to steer the whole fleet.\n\n_Continuous Context Compilation_\n\n\n\n## Backstory\n\nI'm a 3x YC founder. Before Linzumi I was at OpenAI on post-training and alignment research, where I worked on systems for making models follow written specs and produce more reliable reasoning. Working with coding agents on my own projects showed me the same kind of coordination problem at the team level: the agents could execute, but the bottleneck was deciding what should happen next and checking whether the result matched intent.\n\nThe mission now is to make everyone the CEO of their own 1,000-agent company: able to direct more work, make better decisions, and become the best version of themselves as a builder.\n\nWhen you combine that shared context with calibrated decisions, even the smallest form factor can do surprising amounts of work, like shipping a customer feature from your phone on the way to the meeting.\n\n_Hands-free work_\n\n\n\n## What we're asking for\n\nIf you run AI coding agents (or want to), try Linzumi at . It's free to get started and we'd love your feedback.\n\nWe're especially looking for:\n\n• Engineering teams running multiple coding agents who want to scale to dozens (honestly, thousands by end of year)\n\n• Founders who feel like the bottleneck in their own dev cycle\n\n• Anyone curious about better human-agent coordination for company-scale work\n\nDM me on X (@sgrove) or email [sean@linzumi.com](mailto:sean@linzumi.com). I read every reply.", "url": "https://www.ycombinator.com/launches/QuJ-linzumi-team-chat-for-directing-ai-coding-agents", "votes": 25, "created_at": "2026-06-23T16:43:17.655Z" } ] }, { "id": 31063, "name": "Clara", "slug": "clara-2", "former_names": [ "Clara Health" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9ab52625ae85ffe0da16a13dee9f82eaa1e7c33f.png", "website": "http://askclara.com", "all_locations": "San Francisco, CA, USA", "long_description": "Clara is an AI primary care and longevity practice from the team that founded and grew Circle Medical to $100M in revenue.\r\n\r\nOur mission at Clara is to add one billion years of healthspan to humanity. We do this with an AI with deep clinical knowledge, coupled with the ability to sift through medical data to detect trends and patterns that could be missed.\r\n\r\nUnlike Claude or ChatGPT, Clara can see your medical data and then act. Chat with Clara as you would a doctor and Clara can help with you make sense of symptoms, get medication refills, order and understand labs, and achieve health goals. Medical recommendations are preliminary until one of our human medical providers in the loop reviews and approves them.", "one_liner": "AI primary care doctor", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1774031425, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clara-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/clara-2.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/9ab52625ae85ffe0da16a13dee9f82eaa1e7c33f.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": 78929, "full_name": "George Favvas", "title": "Founder/CEO", "founder_bio": "Cofounder @ Clara. Previously cofounder/CEO at Circle Medical (S15), the fastest-growing digital-first primary care practice. Led the business over a decade through several pivots to over $100M annualized revenue and profitability.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/georgefavvas", "x_url": "https://twitter.com/georgefavvas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f397c45d4b9dcd3da0a67453fb14389f4e28b67b.jpg" }, { "user_id": 2062991, "full_name": "Zeeshan Ahmed", "title": "Founder", "founder_bio": "Co-founder and Product Designer at Clara. Previously designed consumer app experiences at Instagram, Careem (Acquired by Uber), Circle Medical (YC15). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zeeshan1293/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf383da8a0be9c2bb9947ee1447ab70f4b38d5ec.jpg" }, { "user_id": 3206223, "full_name": "Caitlin Swift", "title": "Founder", "founder_bio": "Nurse practitioner, clinical leader, and co-founder at Clara Health. Previously led clinical operations and quality at Circle Medical (S15).", "is_active": true, "linkedin_url": "https://linkedin.com/in/caitlin-swift", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d0387a86e1fc2240db5e2f0d746deb672f0bb31.jpg" } ], "jobs": [ { "id": 87899, "title": "Founding AI Engineer (Healthcare)", "url": "https://www.ycombinator.com/companies/clara-2/jobs/4NgleVj-founding-ai-engineer-healthcare", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $210K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "ML", "Python" ] }, { "id": 106311, "title": "Founding full-stack growth Engineer", "url": "https://www.ycombinator.com/companies/clara-2/jobs/8snci6k-founding-full-stack-growth-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$130K - $210K", "equity_range": "0.10% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 101362, "title": "Clara - AI-powered primary care doctor", "tagline": "Clara is an AI-powered primary care doctor that reads your whole medical history, diagnoses and treats. Licensed in 50 states, with clinicians reviewing all medical decisions.", "body": "Clara is an AI primary care doctor. AI does the heavy lifting — pulling your full medical history from 150,000+ hospitals, reading every lab against your goals, drafting refills and orders — and a licensed clinician in your state reviews and approves every clinical decision.\n\nClara is a fully licensed primary care practice in all 50 states and can be your PCP or work alongside them.\n\n[ ](https://drive.google.com/file/d/1wHNEC0dLb3QD-VTngrig1o8TMDjtE2R5/view)\n\nClara is built by the team that founded and scaled Circle Medical to over $100M in revenue, and has raised $12M pre-seed from YC and A.Capital.\n\nTry it free: .", "url": "https://www.ycombinator.com/launches/QMs-clara-ai-powered-primary-care-doctor", "votes": 11, "created_at": "2026-05-14T17:51:26.469Z" } ] }, { "id": 31076, "name": "Imperfect", "slug": "imperfect", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/002fb81dd9c99e80efddd89e683644b3b238f04e.png", "website": "https://imperfect.co", "all_locations": "San Francisco, CA, USA", "long_description": "An adaptive training coach to help runners, cyclists, and triathletes set and achieve goals. It adapts your training, recovery, and nutrition to how your body is actually responding.", "one_liner": "Adaptive training coach for runners, cyclists, and triathletes ", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1776207717, "tags": [ "Digital Health", "Health & Wellness", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/imperfect", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/imperfect.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/002fb81dd9c99e80efddd89e683644b3b238f04e.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": 838, "full_name": "Matin Tamizi", "title": "Founder/CEO", "founder_bio": "Built and sold two fintech companies backed by investors like a16z and Stripe, and created the most widely used open-source Garmin library, used by Stanford Health.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mtamizi", "x_url": "https://x.com/matin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92ffb70a7cfcc8ab318946853686135b4e15594d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100936, "title": "Imperfect – Training that Adapts to Real Life", "tagline": "Imperfect pulls your data to create a personalized AI coach for your next race 🏃‍♂️🚴‍♂️🏊‍♂️", "body": "Imperfect pulls your data to create a personalized AI coach for your next race. It adapts your training, recovery, and nutrition each day to how your body is actually responding.\n\nImperfect's AI coach is helping users train for their first triathlon, prep for a downhill mountain bike race, and (for one professional ultramarathoner) recover after placing 2nd in a 50-mile trail race in Puerto Vallarta.\n\n→ [Download Imperfect](https://go.imperfect.co/yc) to improve your training.\n\n[_Imperfect (YC P26): Training that Adapts to Real Life_](https://youtu.be/xVmMhqS0eZg?si=YEs6nieLNYDwXPVo)\n\n### **For the imperfect ones**\n\nIf another health tool tells me to reduce my stress level, I swear I'll throw it out the window. I'm not going to be \"Fully Optimized\" or want \"Maximum Suffering!!!\". I'm a 41-year-old founder/ultramarathoner with scoliosis. I need something that'll adapt to prioritizing a launch, working late, or prepping for Demo Day.\n\nWhen Imperfect recommends 30g of protein after my hill repeats, I can have it switch the units to tacos. I measure carbs in basmati rice, not in grams. (Persian-American, 7 years in Mexico City before moving back to SF. Cultural references get mixed.)\n\n### **How can you have your training, diet, and hydration adapt to your life?**\n\n**Try it.** [**Download Imperfect**](https://go.imperfect.co/yc) and email us at [yclaunch@imperfect.co](mailto:yclaunch@imperfect.co) with your feedback.\n\n![uploaded image](/media/?type=post&id=100936&key=user_uploads/838/661a7391-2646-4f14-b3c8-818d251f392e)\n\n", "url": "https://www.ycombinator.com/launches/QG0-imperfect-training-that-adapts-to-real-life", "votes": 420, "created_at": "2026-05-07T15:45:31.670Z" } ] }, { "id": 31102, "name": "Fuchsia", "slug": "fuchsia", "former_names": [ "Human Oracle", "noetic", "Fable", "noetic", "fuchsia" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/864a14cbf1a285a8411263cf32fd2240cbb9f2d9.png", "website": "https://getfuchsia.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Fuchsia handles hardware certification and testing so great products can get to markets faster. AI agents keep our work accurate, timely, and fully traceable for every stakeholder.", "one_liner": "Vanta for hardware", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1773017725, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/fuchsia", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/fuchsia.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getfuchsia/", "x_url": "https://x.com/getfuchsia", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/864a14cbf1a285a8411263cf32fd2240cbb9f2d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2888106, "full_name": "Tony Gao", "title": "Founder/CEO", "founder_bio": "Simplifying hardware safety & compliance | Math + Physics @ Yale", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tony-gao5/", "x_url": "https://x.com/togao0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cda0a63c19a6d39f2435787154c410a7a36e97db.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101724, "title": "Fuchsia | Vanta for hardware", "tagline": "Hardware compliance done on your timeline", "body": "**TL;DR**: We’re an AI-native service that takes hardware products from design → testing → market, without the traditional compliance drag in between. We cover a wide range of testing & documentation across RF & EMC, environmental, shock & vibe, functional safety, electrical, machinery and more through our internal experts and partner labs. No inflated billed-hours, fully handled and traceable. Book a call here: \n\n**The problem:** Hardware teams waste time chasing consultants and lawyers just to end up with the same issues. We've seen founders and engineers slowed down by response times, get “overtested” by labs, and billed by contractors for inflated hours. \n\nRegulatory compliance blocks deals, burns money, and can kill a product after all your hard engineering work.\n\n**How we help:** Give us your product specs and target markets. We’ll work through thousands of pages of standards and case studies to surface every requirement, risk, and gap for your product, e.g. radiated emissions limits, IP ratings, MTBF targets, drop and vibration profiles. Our AI agents find gaps and maintain traceability to speed up the process and cut what takes traditional consultants the longest.\n\nWe draft all your technical files and test plans, then handle conversations with testing labs directly. You won't be scheduling calls, translating requirements, or on long email chains, just check our dashboard for the stage your product is at and focus on what you do best (and want to do).\n\n**Why:** Regulatory compliance favors big companies. They have the capital for huge compliance teams and the relationships to fast-track certification. Startups push out way more innovative products by volume, but the system makes it hard for them to actually get to market. \n\nWe’re trying to disrupt this system so that the best products can have the best distribution. \n\n**Ask:** If you're building robots, medical devices, or IoT, book a call and we'll map your fastest path to _certified_: \n\n", "url": "https://www.ycombinator.com/launches/QSi-fuchsia-vanta-for-hardware", "votes": 8, "created_at": "2026-05-21T17:58:04.997Z" }, { "id": 98657, "title": "Noetic - Vanta for hardware", "tagline": "Automating compliance workflows to get hardware to markets 10x faster", "body": "Building hardware is hard enough. Having to think about compliance too is just overkill. Noetic streamlines the entire certification and testing process using AI agents, making it **significantly faster and cheaper** than legacy consultants.\n\n\n\n**The Problem**\n\n* Hardware compliance is scattered, complicated, and opaque\n* Teams spend months and tens of thousands of dollars before ever even testing\n* Critical information is scattered across thousands of pages of regulations and standards\n* Mistakes lead to months in delays, expensive re-testing, and lost deals\n\n**The Solution**\n\n* Give us your product specs and target markets\n* Our AI agents analyze thousands of pages of standards and case studies specific to your product\n* We compile the necessary technical files and test plans, industry professionals review and sign off\n* Your product is sent to the right NRTL/accredited testing lab in our network\n* Track progress through a dashboard instead of having to get hands-on\n* Within weeks, you have a certified product and the documentation needed for customers and regulators to approve deployment. And all you had to do was send some documents\n\n**The Team**\n\nWe are a team of Yale dropouts with backgrounds in frontier robotics from perception research to humanoid deployments, with experience in big tech, AI startups, and quant trading firms. \n\n**If you or someone you know is building hardware, we'd love to show you exactly what your path to certification looks like and how we can handle it faster than any consultant you’ll ever talk to. FCC, FAA, ISO, IEC, ANSI, UL, ASTM, MIL-STD, the list goes on.**\n\nLearn more at [getnoetic.ai](http://getnoetic.ai) and reach out at [founders@getnoetic.ai](mailto:founders@getnoetic.ai)", "url": "https://www.ycombinator.com/launches/PfF-noetic-vanta-for-hardware", "votes": 26, "created_at": "2026-03-10T18:19:57.848Z" } ] }, { "id": 31117, "name": "Cignara", "slug": "cignara", "former_names": [ "Bujo", "Bujo AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/532e556aaa674c581b4083dc6595ac75eeeb0b1a.png", "website": "https://cignara.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Cignara automates the entire revenue cycle - sales and support - across voice and chat - for Fortune 500-scale companies. Companies like LG love us because of our ability to take personalized, agentic actions within their legacy IT systems, in a way that actively drives revenue increases (not just delivers CSAT).", "one_liner": "AI Customer Support for Fortune 500-scale enterprises", "team_size": 4, "industry": "B2B", "subindustry": "B2B", "launched_at": 1766553284, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cignara", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/cignara.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cignara", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/532e556aaa674c581b4083dc6595ac75eeeb0b1a.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": 78606, "full_name": "Nalin Gupta", "title": "Founder/CEO", "founder_bio": "2x YC founder (S15 and P26). Building AI Call Center for some of the biggest B2C enterprises in the world. Previously built self-driving cars @Auro Robotics (acquired).", "is_active": true, "linkedin_url": "https://linkedin.com/in/nalingupta01", "x_url": "https://twitter.com/nalingupta01", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/184dedf98463b66eb98429108c748a14eb6f0473.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102100, "title": "Cignara - AI agents to automate B2C sales & customer support", "tagline": "Agentic AI that understands your business, not just FAQs", "body": "Cignara (YC P26) automates sales and customer support for large B2C enterprises across voice and chat. \\\n\\\nProduct video: \n\\\nMost chatbots stop at answering FAQs. They can handle simple questions, but they do not understand customer profiles, follow complex enterprise policies, execute workflows, or recognize when a support call is really a retention or upsell moment. \\\n\\\nCignara is building AI agents that do exactly that: they handle phone and chat conversations end to end, with governed, verifiable, policy-bound actions grounded in a company's knowledge base and workflows. The same AI brain can also be used as a real-time copilot for human support agents, helping them respond faster and better. \\\n\\\nFounded by two-time YC founder Nalin Gupta, Cignara is trusted by Fortune 500 companies like LG to modernize customer interactions at scale.\n\n![uploaded image](/media/?type=post&id=102100&key=user_uploads/78606/61b73ffb-dd23-40aa-9b96-eb824eec46b8)\n\n", "url": "https://www.ycombinator.com/launches/QYm-cignara-ai-agents-to-automate-b2c-sales-customer-support", "votes": 3, "created_at": "2026-05-28T17:44:35.995Z" } ] }, { "id": 31157, "name": "Drafted", "slug": "drafted", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2c139b868432353a44f9beec890c283ae5570b6.png", "website": "https://www.drafted.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Drafted is building multimodal generative models for residential architecture and spatial design.\r\n\r\nThe product allows users to design homes by combining sketches and direct spatial input to generate coherent floor plans and elevations that can be explored in both 2D and 3D. Users can define footprints, lot boundaries, room placement, relationships, room programs, and square footage constraints that persist across generations and iterative design exploration, then export CAD, PDF, and other files into the rest of the home design and construction process.\r\n\r\nMore info on the company:\r\n⁃ In the past month, we've had 120k users come to the site, generating 325k+ floor plans through socials and word-of-mouth. \r\n⁃ A team of 9, made up of researchers from Stanford, Autodesk, Brown, Adobe, and Architects from WeWork, Atmos, and design families\r\n⁃ Raised $17.5M from investors such as Buckley Ventures (Josh Buckley), YC (Aaron Epstein), Patrick Collison, Evan Moore, Convective Capital (Bill Clerico), Ben Silbermann, Jack Altman, Samsung, Starship Ventures, Charlie Songhurst, Ryan Tedder, Moses Moody, Alex Blania, and Kevin Mahaffey", "one_liner": "Design your home instantly with AI", "team_size": 9, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1780013660, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/drafted", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/drafted.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/draftedai/", "x_url": "https://x.com/DraftedAI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/drafted-b9b3", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2c139b868432353a44f9beec890c283ae5570b6.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": 308465, "full_name": "Nicholas Donahue", "title": "Founder/CEO", "founder_bio": "Teaching computers about how to change and create in the physical world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicholas-donahue-0b77b7128/", "x_url": "https://twitter.com/PrimalNick", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b34f5d54625e1a7a308986b86709831baea7e45e.jpg" } ], "jobs": [], "news": [ { "title": "Drafted Secures $16M in Funding to Reshape Home Design With AI - Business Insider", "url": "https://www.businessinsider.com/drafted-16m-funding-reshape-home-design-with-ai-2026-5", "date": "May 29, 2026" } ], "launches": [ { "id": 102178, "title": "Drafted.ai - Design a Home Instantly Using AI", "tagline": "Teaching computers about the built environment.", "body": "# Drafted: Design a Home Instantly Using AI\n\nResidential architecture is still one of the most expensive, slow, and inaccessible creative processes in the world.\n\nDesigning a custom home typically costs $10,000–$50,000+, takes months, and requires making major decisions before most people can even visualize the outcome. As a result, the vast majority of homes are built without direct architectural involvement.\n\nWe're building Drafted.ai to change that.\n\nDrafted is developing multimodal generative models for residential architecture and spatial design. Our goal is to teach computers how the built environment works so anyone can imagine, explore, and eventually create physical spaces tailored to them.\n\nToday, users can design homes using simple inputs such as:\n\n* Room lists\n* Square footage targets\n* Footprint shapes\n* Lot boundaries\n* Room placement preferences\n* Spatial relationships and constraints\n\nOur models generate complete floor plans and matching exterior elevations in seconds. Users can explore designs in both 2D and 3D, iterate instantly, furnish interiors, experiment with materials, and export CAD, PDF, and other files for the rest of the pre-construction process.\n\nOne of our newest capabilities allows users to draw any footprint shape and generate a complete home layout inside it.\n\n\\\n\n\nOver the past month, more than 120,000 people have used Drafted, generating over 325,000 home designs through viral social sharing and word-of-mouth alone.\n\nWe're a team of 9 consisting of second-time proptech founders, researchers from Stanford, Autodesk, Brown, and Adobe, alongside architects from WeWork, Atmos, and multi-generational architecture families.\n\nSince starting 10 months ago, we've raised $17.5M from YC, Buckley Ventures, Patrick Collison, Bill Clerico, Ben Silbermann, Jack Altman, Samsung NEXT, Starship Ventures, Charlie Songhurst, Evan Moore, Kevin Mahaffey, and others.\n\n# Our Ask:\n\nWe're currently looking for Machine Learning, Infrastructure, Growth, and Full-Stack Engineers.\n\nIf you're building a home, developing property, working in architecture, construction, or AI, we'd love to hear your feedback.\n\n[nick@drafted.ai](mailto:nick@drafted.ai)\n\n![uploaded image](/media/?type=post&id=102178&key=user_uploads/308465/147cdcf5-d9c3-45df-8814-f7a72d6596ab)\n\n", "url": "https://www.ycombinator.com/launches/Qa2-drafted-ai-design-a-home-instantly-using-ai", "votes": 22, "created_at": "2026-05-29T15:18:40.318Z" } ] }, { "id": 31193, "name": "9 Mothers", "slug": "9-mothers-corporation", "former_names": [ "9 Mothers Corporation" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/84622897534f7613d85e63267d30b56cc2f7e6df.png", "website": "https://9mothers.com", "all_locations": "Austin, TX, USA", "long_description": "We have sold $1.6m of systems to the DoW. Multiple systems delivered to the DoW.\r\n\r\nOur first product - EDDA - is a counter drone system - small, low power, low cost fully autonomous-capable. It's designed to be used on vehicles, bases, or carried - to stop group 1 suicide drones. We have multiple contracts, sales, etc.\r\n\r\nWe have 3 more products with demand in various stages of development.\r\n\r\nMore details at https://9mothers.com", "one_liner": "Counter Drone Systems. $1.6m sales. We delivered for the DoW.", "team_size": 19, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1772383071, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/9-mothers-corporation", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/9-mothers-corporation.json", "year_founded": 2024, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/9-mothers/", "x_url": "https://x.com/9mothers", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/9-mothers", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/84622897534f7613d85e63267d30b56cc2f7e6df.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": 1373, "full_name": "Russell Smith", "title": "Founder/CEO", "founder_bio": "Making AI weapon systems.", "is_active": true, "linkedin_url": "https://linkedin.com/in/russellhowardsmith", "x_url": "https://twitter.com/rhs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dcc190c89daafc72944459c467954eb47e85a782.jpg" }, { "user_id": 164423, "full_name": "Roman Khomenko", "title": "Founder", "founder_bio": "Co-founder of 9 Mothers Defense. Previously Data Scientist at Rainforest QA (YC S12), hacker, and builder of weird things. I love everything old: Lisp, NES games, IRC, trackers, and 8-bit music. Now building AI-driven counter-drone systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dowakin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ce8bc5bf11e2df03e67f2ae8f55482ed87c6250.jpg" }, { "user_id": 1175122, "full_name": "Bogdan Pyzh", "title": "Founder/COO", "founder_bio": "Building Counter-Drone Systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bogdan-pyzh-b5b77388", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca74049c4fb72b44515d11f0bb4517e374b481c7.jpg" } ], "jobs": [ { "id": 92228, "title": "Machine Learning Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/dP71lRK-machine-learning-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Torch/PyTorch" ] }, { "id": 92229, "title": "Robotics Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/H8698y1-robotics-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.02% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92234, "title": "Senior Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/IbKw8oR-senior-mechatronics-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92239, "title": "Lead Mechatronics Engineer", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/BQMcLKU-lead-mechatronics-engineer", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $400K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92240, "title": "Robotics Engineer, Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/RV7DqvO-robotics-engineer-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $400K", "equity_range": "0.01% - 0.05%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94660, "title": "Computer Vision Engineer, Senior", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/esvM9FY-computer-vision-engineer-senior", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.01% - 0.05%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94661, "title": "Perception Engineer, Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/H5NGycV-perception-engineer-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "0.02% - 0.05%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94662, "title": "Embedded Engineer (BSP), Staff", "url": "https://www.ycombinator.com/companies/9-mothers-corporation/jobs/53o387J-embedded-engineer-bsp-staff", "location": "Austin", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $300K", "equity_range": "0.02% - 0.05%", "experience": "8+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "At Fort Bragg, a jam session for a \"new era of warfare\"", "url": "https://www.axios.com/2026/08/26/sandhills-army-forterra-9mothers-drones-autonomy", "date": "Aug 25, 2026" }, { "title": "U.S. Army tests self-driving truck with drone-killing turret", "url": "https://defence-blog.com/u-s-army-tests-self-driving-truck-with-drone-killing-turret/", "date": "Aug 22, 2026" }, { "title": "A Tale of Two Techs: A Unique Partnership for Drone Defense Solutions", "url": "https://www.recoilweb.com/a-tale-of-two-techs-a-unique-partnership-for-drone-defense-solutions-193182.html", "date": "Aug 18, 2026" }, { "title": "The U.S. Army tested a (semi)-autonomous Ford F-250 equipped with the Edda counter-drone turret during Project Sandhills 2.0 at Fort Bragg on August 18.", "url": "https://www.instagram.com/p/DcYmX9RDGpU/", "date": "Aug 17, 2026" }, { "title": "Drone Ultimatum - 9 Mothers", "url": "https://www.youtube.com/watch?v=Ag5LVytT1dU", "date": "Aug 16, 2026" } ], "launches": [ { "id": 102597, "title": "9 Mothers - AI mission systems", "tagline": "EDDA - is a tiny robot that protects soldiers and critical assets from Group 1 suicide drones", "body": "We make AI mission systems for the DoW.\n\n![uploaded image](/media/?type=post&id=102597&key=user_uploads/1373/31af3058-9bd9-48b5-8b9a-4840055d12f9)\n\nOur first product - EDDA - is a tiny robot that protects soldiers and critical assets from Group 1 suicide drones. We are building it small enough and cheap enough to put that protection on everything: every vehicle, every position, every asset. EDDA defeats fast group 1 threats that fielded systems consistently miss. Operators evaluating it have told us it's the only system that's stopped fast Group 1 - we'll let them speak for themselves when they can.\n\n\n\nWhy this? We were watching people die in the Russia-Ukraine conflict, and ended up researching the state of the union on defeating suicide drones. It was insanely bad - over-focus on RF, EW, and larger systems - all with obvious flaws. Nothing was working, all demos were of slow speed or static drones. RF & EW are somewhere between dead-ends and table-stakes, and the larger systems had many flaws. So, we felt compelled to fix it.\n\n\n\nThe U.S. and allies are up-against this threat with no viable solution, until now. We have multiple contracts, and have sold and delivered multiple systems.\n\nOur next 3 products follow the same vein - delivering working systems at low SWaPc.", "url": "https://www.ycombinator.com/launches/Qgn-9-mothers-ai-mission-systems", "votes": 10, "created_at": "2026-06-05T18:10:21.843Z" } ] }, { "id": 31211, "name": "Sazabi", "slug": "sazabi", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fca2808f8b0ea2f65302051164b0360bec51746.png", "website": "https://www.sazabi.com/", "all_locations": "San Francisco, CA, USA", "long_description": "The AI-native observability platform for fast-moving engineering teams. Backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.", "one_liner": "The AI-native observability platform for fast-moving engineering teams", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1774488944, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sazabi", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/sazabi.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sazabi/", "x_url": "https://x.com/sazabi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2fca2808f8b0ea2f65302051164b0360bec51746.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": 282099, "full_name": "Sherwood Callaway", "title": "Founder/CEO", "founder_bio": "Sherwood Callaway is a 2x YC founder and software engineer with over ten years of experience in infrastructure, DevOps, and observability engineering roles top VC-backed startups, including Crunchbase and Brex. Currently, he is founder and CEO at Sazabi, the AI-native observability platform for fast-moving engineering teams. Sazabi is directly inspired by Sherwood's experience at Brex, where helped start the company's infrastructure and observability engineering teams.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sherwoodcallaway/", "x_url": "https://twitter.com/shcallaway", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cff992998043fc6d5505a9c507528f4d1eb77ede.jpg" } ], "jobs": [], "news": [ { "title": "The End of Manual Debugging", "url": "https://www.youtube.com/watch?v=UGYnC9zqa-k", "date": "Mar 27, 2026" } ], "launches": [ { "id": 102391, "title": "Sazabi - Datadog for the AI Era", "tagline": "AI-native observability platform for fast-moving engineering teams", "body": "# Sazabi - Datadog for the AI Era\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/bc8014f4-5e17-4c76-be1c-3bd2b6ba26ec)\n\nSazabi is a next-generation observability platform designed for fast-moving, AI-native engineering teams. If you're using Datadog, Sentry, Grafana, or Axiom today, you could be moving ten times faster with Sazabi. **Book a demo [here](https://calendly.com/d/cyn6-s9f-tfq/meet-sazabi).**\n\n### Rethinking Observability\n\nRight now, every engineering team in the world is coming to the same conclusion: it doesn't matter how fast you can ship if your app is constantly going down. The antidote to production instability is observability, but not the flavor we have today. \n\nLegacy observability platforms can’t keep up with the pace of modern AI-driven software development. They take hours or days to set up. They are complex and clunky to use. The alerts they give you are noisy and confusing. They aren't built to be used with agents.\n\nSazabi is what Datadog would look like if it were built in 2026 instead of 2010:\n\n* A simple chat-based user experience instead of endless dashboards. \n* Effortless agent-driven instrumentation that requires zero code or config changes. \n* Autonomous alerts that can contain all the relevant context and never misfire. \n* A powerful CLI that gives your coding agent complete visibility into your observability data. \n* Slack has the primary application entry point. \n* An AI agent that memorizes your codebase, architecture, traffic patterns, and past incidents.\n* Native integrations with every major cloud provider and hosting service.\n* A storage layer that uses AI for compression and is optimized specifically for agentic query patterns.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/3e5d80bd-59bd-43b3-bc72-ae9edc68a2ed)\n\n### How It Works\n\nYou can get started with Sazabi in less than 15 minutes. There are just three steps:\n\n1. Connect your GitHub repository \n2. Install the Slack app \n3. Start sending logs\n\nFor legacy platforms, instrumentation is a headache. With Sazabi, it's effortless. We've got integrations with over 35 of the leading cloud hosting services, including Vercel, AWS, GCP, Temporal, Cloudflare, Neon, Supabase, and more. If we don't have a native integration, Sazabi can open a pull request with the necessary instrumentation changes. Our log intake is OpenTelemetry compatible.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/563095d8-89fc-47cd-a4cf-94746d7540ff)\n\nAfter setup, a few things happen automatically: \n\n* Sazabi scans your logs and codebase to learn more about the system, registering all key services, components, and product features to a live status page that gives you an overall view of system health.\n* Sazabi's background agents begin monitoring your logs, codebase, and infrastructure for anomalies - everything from unfamiliar errors to traffic spikes to crash pods and failed deployments. \n* When an issue is detected, Sazabi sends you a rich Slack alert with all the relevant context, including the root cause.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/f676f9dc-0af4-4c31-873f-abc1172484fe)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/c81d2281-add8-4645-b873-524affd0d0ee)\n\nYou and anyone from your team can send Sazabi a follow-up message via Slack, CLI, Web, or MCP. Sazabi is great for ad hoc questions and queries too. Sazabi automations allow you to generate detailed reports at any cadence.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/b8ab228d-23a7-40d2-960d-c469c6d25f19)\n\nAfter receiving an alert, you can fix it directly with just a click of a button. Sazabi will open the pull request against your repo. If you prefer to use a different coding agent, it’s easy to hand off context - Sazabi has integrations with Cursor, Codex, and Claude Code.\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/a95e8ecc-befb-4e31-a7a9-5523adea2548)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/be62eeb2-a73f-431a-b99a-64823dc8fdc2)\n\nTeams that use Sazabi are detecting issues they didn’t know they had and resolving incidents in minutes instead of hours.\n\n### Logs Are All You Need\n\nSazabi is based on a few big ideas. The most important one: “logs are all you need”. \n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/135568da-6b42-4f54-8e27-2e9d9d349f46)\n\nWhat this means is that Sazabi doesn't require users to send metrics or traces. You only need to send us logs (stdout and stderr). Sazabi is able to answer complex queries, perform aggregations, profile endpoints, and trace requests through your entire system using just log data. The result is a much simpler instrumentation experience for you and your team, with all the power of a traditional observability platform.\n\n### What Makes Us Different\n\nA lot of companies are building in observability right now. How is Sazabi different? Here’s how we think about the landscape:\n\n* **AI SRE startups like Traversal and Resolve.** These sit on top of third-party systems like Datadog. It's an approach that makes sense for enterprises that rely on legacy tools, but not the best solution. Sazabi has its own storage layer.\n* **DIY solutions like Ramp’s “On-Call Assistant”.** It’s great to see so many companies building internal AI SREs. It proves demand, but it doesn't make sense for each company to build their own - especially when Sazabi is offering a better agent off-the-shelf.\n* **Legacy players like Datadog, Grafana, Sentry, and Axiom.** You can try to use Claude Code with the Datadog MCP, and it will work OK, but not great. importantly, this approach isn't stateful. Each investigation is completely new. Sazabi, on the other hand, accumulates memory and constantly gets better. More fundamentally, all of these companies predate AI agents and are structurally misaligned with AI.\n* **LLM observability companies like Arize, Braintrust, LangChain, and Raindrop.** These are a narrow point solution for building and observing agents. Sazabi can do this too, but its scope is much broader than that. It's a general solution for observing any workload. We think that in the long-term there is no meaningful difference between observing agents and other types of software.\n\nSazabi's most important differentiator is our vertical integration. We're building every piece of the AI observability stack:\n\n* The interfaces\n* The agent\n* The storage layer\n\nThe allows us to do things our competitors fundamentally can't, like analyze and memorize every historical incident, or optimize our DB for the specific query patterns of our agent. It's an Apple-style approach to observability. \n\n### Where We Are Today\n\nSazabi is currently in closed alpha, but we’re growing fast. In the past month we’ve onboarded 35 new teams, run 8,000 background investigations, detected 2,000 issues, ingested 2 TB of logs, and opened 200 PRs. \n\nSazabi is founded by Sherwood Callaway, a two-time YC founder who previously started the infrastructure and observability teams at Brex. We’re a team of nine engineers in total, including three early members of the Brex team and two former observability founders. \n\nOur investors include angels from top AI dev tools and infrastructure startups. To name a few:\n\n* Harrison Chase, CEO of LangChain\n* Merrill Lutsky, founder and CEO of Graphite\n* Ivan Burazin, founder and CEO of Daytona\n* Matt Biilmann, founder and CEO of Netlify\n* Paul Klein, founder and CEO of Browserbase\n\n### Our Ask\n\nSazabi is currently in closed alpha, but we’re onboarding new customers daily. Teams that sign up through Launch YC post skip to the front of the line. \n\n**Book a demo [here](https://calendly.com/d/cyn6-s9f-tfq/meet-sazabi).**\n\n[sherwood@sazabi.ai](mailto:sherwood@sazabi.ai)\n\n![uploaded image](/media/?type=post&id=102391&key=user_uploads/282099/5f60765a-676b-4887-87d2-ad833c48d4a9)\n\n", "url": "https://www.ycombinator.com/launches/QdT-sazabi-datadog-for-the-ai-era", "votes": 44, "created_at": "2026-06-01T19:58:02.757Z" } ] }, { "id": 31221, "name": "Netter", "slug": "netter", "former_names": [ "Netter AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.png", "website": "https://netter.ai", "all_locations": "Paris, Île-de-France, France", "long_description": "Netter (YC P26) helps companies regain control over their data, so teams can pilot their activities with high precision.\r\n\r\nMost companies are sitting on years of valuable data, spread across different formats and disconnected tools that don't talk to each other.\r\n\r\nNetter brings technical capacity to companies that don't have an army of data engineers, and tackles their most complex data challenges.\r\n\r\n- A nursing home group was chasing unpaid invoices manually across disconnected tools. Netter centralized the collection workflows, automated reminders, real-time visibility, task routing.\r\n- A retail chain had years of loyalty card data sitting unused. Netter cross-referenced it with public demographic data to build precise customer segments and trigger the right promotions to the right people.\r\n", "one_liner": "AI agents for data science (enterprise)", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1778028550, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/netter", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/netter.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/netterai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b2e86ec70fa3e3c6a1b8dc9f39e6aa2b5b7b5952.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": 2161871, "full_name": "Samuel Ladroue", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Netter (P26). Studied Mathematics and CS at Mines Paris.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuel-ladroue/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4fc7698acbd3d39d4bda933e71eef20b2aaed4d.jpg" }, { "user_id": 3140846, "full_name": "Amin Hamzaoui", "title": "Founder", "founder_bio": "Co-Founder & CTO at Netter AI (P26).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amin-hamzaoui/?locale=en_US", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af3bee03340be578e87b958ef8671a2ff13cd4bc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101627, "title": "Netter: Full stack data scientist agents", "tagline": "Netter helps companies regain control over their data so teams can pilot their activities with high precision.", "body": "**TL;DR**: We help mid-market companies (like nursing homes, logistics, retail) to crack their most painful data problems. From observability across sites and systems, to cash reconciliation workflows to occupancy rate prediction. We take care of cleaning the data and deploy the right outputs.\\\n\\\n[https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view](https://drive.google.com/file/d/1cuPoMAIceD2vlAWCkWIZ6uaNbs8W7ZmF/view?usp=sharing)\n\n**I - The problem**\n\nTraditional mid-market companies lack technical capacity to use the data they are sitting on.\n\nThey can’t hire an army of Data / Software Engineers so they loose precious margin points.\n\n**II - What we do**\n\nWe are building Netter to bring data excellence into their operations.\n\nNetter is a full stack data platform based on data scientists agents. \n\nWe connect to data sources, build pipelines and deploy use cases (operational apps, ML models, AI workflows). \n\nCompanies get a plug and play solution to pilot their activities with high precision.\n\n**III - Concrete examples**\n\nHere are three use cases we deployed at the 1st and 4th European Nursing Homes.\n\n**Receivables collection**: Payments and invoices lived in separate tools that didn't talk to each other. We first reconciled the two, then deployed a matching algorithm to automate the collection process through an intelligent workflow, one that follows business rules and triggers actions once its confidence threshold is reached.\n\n**HR anomaly detection**: Certain patterns were going completely unnoticed: recurring absenteeism, fixed-term contracts renewed on loop, abnormal overtime. We plugged a detection engine into their existing HR data, surfacing these weak signals continuously and suggesting action plans, before they turned into real hidden costs.\n\n**Occupancy rate prediction**: Nursing homes struggle to anticipate pressure on their beds, often because occupancy data isn't aggregated in real time. We deployed a forecasting model that consolidates occupancy by unit, predicts the next 24 hours, and gives teams early visibility to adjust resources before things get critical.\n\n[netter.ai](http://netter.ai)", "url": "https://www.ycombinator.com/launches/QR9-netter-full-stack-data-scientist-agents", "votes": 5, "created_at": "2026-05-21T06:23:41.147Z" } ] }, { "id": 31222, "name": "Superset", "slug": "superset", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c4aa01fc589ba1d208558f7b720c6081f672b08.png", "website": "https://www.superset.sh/", "all_locations": "San Francisco, CA, USA", "long_description": "Superset is an open-source IDE that helps engineers run 100s of coding agents in parallel.\r\n\r\nOur desktop app is loved by tens of thousands of engineers, and we're scaling out our effort to build a collaborative, cross-platform tool to allow users to code anywhere.", "one_liner": "Building self-improving software", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1772696752, "tags": [ "Developer Tools", "Consumer", "B2B", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/superset", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superset.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/superset-sh", "x_url": "https://x.com/superset_sh", "fb_url": null, "cb_url": null, "github_url": "https://github.com/superset-sh/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9c4aa01fc589ba1d208558f7b720c6081f672b08.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d7985153e3f3f3657501cad87d810751a2de2c3.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 276516, "full_name": "Kiet Ho", "title": "Founder/CEO", "founder_bio": "Co-Founder at Superset\nprev cofounder at Onlook (W25), swe at Amazon, ServiceNow", "is_active": true, "linkedin_url": "https://linkedin.com/in/kiet-ho", "x_url": "https://x.com/FlyaKiet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/be990abee447e67c96fc01cb7c94ab41f17d7381.jpg" }, { "user_id": 667926, "full_name": "Satya Patel", "title": "Founder/CTO", "founder_bio": "Co-founder at Superset\nformer CTO of Untether Labs (YC W23), Google, Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saddlepaddle/", "x_url": "https://x.com/saddle_paddle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e04862bf60855ebe5323bfaaf8b1634a063087b5.jpg" }, { "user_id": 230159, "full_name": "Avi Peltz", "title": "Founder/CPO", "founder_bio": "Co-Founder @Superset. | Prev. Co-Founder CTO Adam(W25) and Cofounder@BioGlyph ", "is_active": true, "linkedin_url": "https://linkedin.com/in/avipeltz", "x_url": "https://x.com/avimakesrobots", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/700e04a07290a0348d38f550c8a5e467947d5cca.jpg" } ], "jobs": [ { "id": 91489, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/superset/jobs/Nd9luiP-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $225K", "equity_range": "1.00% - 1.50%", "experience": "2+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "React", "TypeScript", "Next.js", "AI Agents" ] }, { "id": 109607, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/superset/jobs/rp22UiM-founding-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$175K - $225K", "equity_range": "1.00% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CSS", "React", "TypeScript", "Figma", "Tailwind" ] } ], "news": [], "launches": [ { "id": 101973, "title": "Superset - the open source IDE for the AI Agents era", "tagline": "The fastest growing open source agentic IDE: 11K stars + thousands of daily active users", "body": "**_TL;DR_ [Superset](https://superset.sh/)** is a terminal-first IDE with built-in agents management, PR review, and remote workspaces; built for running coding agents in parallel.\n\nSuperset is a daily driver for great teams including YC companies, engineers at Wix, DoorDash, Netflix, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\\\n\\\nCheck out our fun video interviewing some of our users 👇\n\n\\\n\\\nWe're Avi, Kiet and Satya\\\n\\\nThe future workspace for software development looks less like a text editor based IDE and more like a tool to help devs manage multiple Claude Code or Codex sessions, setup automations and workflows for coding agents, aggregate context from tickets, logs, etc, and efficiently review changes.\\\n\\\nSince launching just 5 months ago:\n\n* **11K+ Github stars** and **75+ contributors,**\n* Used as the daily driver in great teams including YC companies, engineers at OpenAI, Google, Vercel, and major OSS products/projects including [homebrew](https://github.com/Homebrew/brew), [mastra](https://github.com/mastra-ai/mastra), [browser-use](https://github.com/browser-use/browser-use) and many more\n* A thriving community with **5K+ followers on X**, **1K+ members on Discord.**\n* Got **#1 on Product hunt** and **top 4 on HN twice**\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/5bfff019-f7dd-4262-b872-67641385eb17)\n\nX has been very supportive:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/42ce6b2b-21fd-4d1b-9bcb-a00fecd85d52)\n\n\\\nCTO of Mastra:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/3e7afc9f-1023-4d20-a701-324ecbc44273)\n\nVercel about Superset:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/66749d1b-feea-4eb0-a2ba-3afb1a84e76a)\n\nPrinciple Engineer at Cloudflare\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/12c60756-7b29-45e8-96d4-72d9563979bb)\n\nCTO of Browser Use:\n\n![uploaded image](/media/?type=post&id=101973&key=user_uploads/230159/54080db5-f070-4d19-bf19-f9782075b1b0)\n\n\\\n**Superset Product Tour**\\\n\\\n**\\\nPlease try us and give us your feedback:**\n\nStar the repo: \\\nsend us your feedback: [hello@superset.sh](mailto:hello@superset.sh)\n\nTry superset: ", "url": "https://www.ycombinator.com/launches/QWj-superset-the-open-source-ide-for-the-ai-agents-era", "votes": 12, "created_at": "2026-05-26T16:52:54.121Z" } ] }, { "id": 31246, "name": "Inth", "slug": "inth", "former_names": [ "Consent.io", "Consent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca00ac880b2d3d17acae2b1679332dc8000c5f7.png", "website": "https://inth.com", "all_locations": "London, England, United Kingdom", "long_description": "Inth monitors your pull requests, codebase and website to catch privacy issues and turns them into fixes and evidence.\r\n\r\nEvery product change you make exposes you to privacy risk. Customers lose trust. Fines and lawsuits are given. Fundraising and customer deals are broken. New market launches halt.\r\n\r\nThe growth you thought you would have slows because privacy compliance is overwhelming and changes with every product update.\r\n\r\nInth is fixing this to help you automate privacy compliance to ship and grow faster.\r\n\r\nInth scans your PRs, website and codebase to catch any privacy risk. It then fixes and evidences them against your product, policies and global privacy laws to automate privacy compliance in every region your customers are in.\r\n\r\nStart a free privacy scan at: inth.com", "one_liner": "Monitor and fix product privacy issues before they block growth", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1776095941, "tags": [ "Developer Tools", "Compliance", "Web Development", "Trust & Safety", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": true, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inth", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/inth.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/inth", "x_url": "https://x.com/inth", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/consent-56ac", "github_url": "https://github.com/inthhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aca00ac880b2d3d17acae2b1679332dc8000c5f7.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/31304/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAPNM4H2ZD%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022735Z&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=620b48c1695b7b504c3a076a231ea88feba788a59d1e43ce423dccd19dae7a66", "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 735095, "full_name": "Christopher Burns", "title": "Founder/CEO", "founder_bio": "Founder of Inth, the AI-native privacy company helping teams ship and grow faster by automating privacy compliance across pull requests, codebases, and websites.\n\nPreviously founded Everfund. Creator of c15t, open-source consent and privacy infrastructure with 3M+ npm downloads, and CookieBench. Spent the last decade building developer tools, privacy systems, and trust infrastructure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/burnedchris/", "x_url": "https://x.com/burnedchris", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4e6c489518151d265f3b02d242882b829c20e044.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101245, "title": "Inth: Dev-first cookie banners that don't slow your site", "tagline": "Built for performance and full developer control.", "body": "tldr: your cookie banner is slowing down your site. Inth banners keep performance high, styled using your own components, and keeps you compliant using our open-source core, [c15t.com](http://c15t.com).\n\nInth is building cookie banners that don't cost your Core Web Vitals.\n\nFor years, cookie banners have plagued the internet with slow bloated scripts, that aren't aware of user locations or local laws, built for marketing and legal teams. Inth is fixing this with developer-first consent infrastructure.\n\n\n\nInth helps developers automate cookie consent and user data rights to ensure compliance with all jurisdictions, using the fastest and most composable cookie banner available, c15t.\n\nBundled into your website's code, c15t cookie banners have native SDKs, i18n, and are fully customizable to match your UI and brand. Built for developers who care about compliance and performance.\n\nSince Inth launched, c15t has grown over 2 million npm downloads, and is used by some of the top developer tools companies, luxury hotel chains, and online supermarkets.\n\nJoin the teams already using Inth to deploy faster, compliant websites at [inth.com](http://inth.com) or quickstart: npx @c15t/cli\n\nFind our docs here: c15t.com/docs", "url": "https://www.ycombinator.com/launches/QKz-inth-dev-first-cookie-banners-that-don-t-slow-your-site", "votes": 14, "created_at": "2026-05-12T15:53:00.835Z" } ] }, { "id": 31279, "name": "Regbase", "slug": "regbase", "former_names": [ "RegBase" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd72b079b781bbd2a4eb03627c44c4901fd5da63.png", "website": "https://regbase.com", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "Automating Corporate Compliance, Worldwide", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1776112979, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/regbase", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/regbase.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/regbase/", "x_url": "https://x.com/theregbase", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd72b079b781bbd2a4eb03627c44c4901fd5da63.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": 2132981, "full_name": "Natalie Aresta-Katz", "title": "Founder/CEO", "founder_bio": "Prior to Regbase, Natalie was the founder of Saponify. Between the ages of 16 and 22, Natalie sold over $1M of soap base on Amazon. \nShe was the first sustainable business major at NYU Stern, and has an MBA from Columbia. \nNatalie spent 3 years as a regulatory researcher at the law firm Paul, Weiss, which is where she got the idea for Regbase.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/natalie-aresta-katz-a60a0416a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f50b8bac1f420f79b353f62d19a720b064bf576b.jpg" }, { "user_id": 1428384, "full_name": "Ethan Shea", "title": "Founder/CTO", "founder_bio": "Founder/CTO at Regbase- Automating Corporate Compliance Worldwide\n\nPreviously I was a staff engineer at Vercel, where I built the observability backend and the first Vercel Agent. Before that I worked at Citadel where my team maintained the firm's master list of everything that can be traded. I grew up in Seattle and went to the University of Washington.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-shea/", "x_url": "https://x.com/ethshea", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d93201eda3f57fcf6034c5a7913c447dcadbd1e7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99803, "title": "Regbase: Al-native Legal Research", "tagline": "Hundreds of hours of legal research in one click! ", "body": "**Regbase helps companies track new laws across the world and at the local level.**\n\nRegbase is an **AI-native research platform** built to help **legal teams, researchers, and government vendors** monitor regulatory changes across countries, languages, and **hard-to-find government sources**.\n\n[https://youtu.be/lY1La0A4iaw](https://youtu.be/lY1La0A4iaw?si=-dCa9ucc4Sq8jvXR)\n\n**The problem:** \n\nCompanies that need to track new laws still rely heavily on **manual research.** Many important updates are posted on obscure local websites, draft bill portals, consultation pages, social media, and other sources that may **never get indexed by Google or picked up by LLMs.** \n\nIf a law is not in English, not covered by the media, or it only applies at the local level, it can be **impossible to find.** \n\n\\\n**The solution:** \n\nRegbase finds these updates automatically, including draft bills, consultations, compliance requirements, and sales opportunities like grants. Then it analyzes them. \n\nSo far we have: \n\n* **Found $400M in expiring school safety grants** across the U.S. for a client selling protective equipment\n* Identified **80** **requirements** for greenhouse gas disclosure **in 45 countries** for a global manufacturer\n* Found **dozens of obscure laws in non-English languages, posted only on LinkedIn, Facebook or X**\n* Uncovered regulations hidden behind QR codes, and even one government website that required visitors to watch an ad! \n\n**Who we are:** \n\n**Natalie Aresta-Katz**, previously led a law firm practice research team at Paul, Weiss, tracking laws across dozens of countries and every state. **Ethan Shea** is a former Staff Engineer at Vercel with expertise building agentic infrastructure. They started the company after years of struggling with manual regulatory updates across jurisdictions and languages.\n\n**The ask:** \n\nWe are eager to help **lawyers and researchers** in all areas, including **employment, AI, climate/sustainability, and private equity.** We also work with **companies in regulated industries,** and state and **local government vendors.**\n\nVisit [regbase.com](http://regbase.com) or email us at [founders@regbase.com](mailto:founders@regbase.com) to book a time.\n\nFollow us: [https://www.linkedin.com/company/regbase](https://www.linkedin.com/company/regbase/) | ", "url": "https://www.ycombinator.com/launches/Pxj-regbase-al-native-legal-research", "votes": 28, "created_at": "2026-04-16T00:35:17.656Z" } ] }, { "id": 31293, "name": "Rainbrand", "slug": "rainbrand", "former_names": [ "Bloom" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c555444a2d853513769feaea1a31560875f72134.png", "website": "https://rainbrand.com", "all_locations": "San Francisco, CA, USA", "long_description": "Rainbrand is the brand layer for agents. It turns a brand’s identity, guidance, and assets into shared context that agents and products can use. That context evolves with the brand, alongside the tools where it is created and managed.\r\n\r\nStarting with websites, social media, and files, Rainbrand develops and maintains versioned brand context. Through MCP or the API, connected agents and products can retrieve and update that context, then apply it to images, websites, slides, video, copy, and other brand work.\r\n\r\nWe’re an ai infra company making brand as operable as software.\r\n", "one_liner": "The brand layer for agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1776275888, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rainbrand", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rainbrand.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rainbrand", "x_url": "https://x.com/rainbrandai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c555444a2d853513769feaea1a31560875f72134.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": 2440455, "full_name": "Ray Fitzgerald", "title": "Founder/CEO", "founder_bio": "Founder of Rainbrand - the brand layer for agents.\nRainbrand turns brand into infrastructure that any agent, app, or platform can call.\n\nBefore Rainbrand, I founded Lucid - an AI-native word processor.\nBefore that I worked at Inscribe (S18), where I built agents to prevent financial fraud.\n\nObsessed with product and organic growth.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ray-fitzgerald-86b451148", "x_url": "https://x.com/rincidium", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a358bd564a8f549ece1d35c546a8d4062ae10989.jpg" } ], "jobs": [ { "id": 113897, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/rainbrand/jobs/8eQxoBN-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$140K - $200K", "equity_range": "0.50% - 3.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "TypeScript", "Search", "Next.js", "LLMs", "Vector Databases", "AI Agents" ] } ], "news": [], "launches": [ { "id": 102368, "title": "Bloom – the brand layer for agents", "tagline": "Bloom turns brand into infrastructure that any agent, app, or platform can call.", "body": "**Bloom — the brand layer for agents**\n\nAI has unlocked an abundance of software. But software is just one input into building a product and running a business - and as it's gotten cheap and fast, new limiting factors have emerged. Brand is one of them. Unlike software, brand isn't operable: it's scattered across decks, products, and tribal knowledge. There’s no _system_ for brand, and nothing can actually _call_ it, and so most of what gets shipped is off-brand by default.\n\nWe think brand is becoming infrastructure: one canonical source of truth that any system can query. Bloom is that brand layer - we’re creating the systems to make brand as wieldable as code.\\\n\n\n**How it works**\n\n1. **Ingest.** Point Bloom at everything that defines your brand: website, decks, Figma, socials, codebases, and more.\n2. **Systemise.** Bloom unifies it into one brand system - a canonical ontology of your brand.\n3. **Deploy anywhere.** Call that system from every surface and generate every asset you need - ads, social, product shots, mockups, and full campaigns.\n\n**Built for agents** \\\nBloom is designed to be used by agents, rather than humans. The primitives (API, MCP, and soon CLI) have excellent _agent ergonomics_ making your brand callable from everywhere:\n\n* **Agents:** marketing agents running campaigns, coding agents creating landing pages, e-commerce agents running brands - all calling Bloom over MCP.\n* **Products:** use our API as the brand layer for any products that require brand context or assets for their customers.\n* **Brand and marketing operations:** agencies and marketing teams call Bloom to automate on-brand asset creation inside their existing stack.\n* **Claude:** use the Claude connector to create on-brand assets with all of your existing context.\n\n**Traction** - We launched v1 in December and went [viral](https://x.com/rincidium/status/1995946528343818656?s=20). Since then we’ve generated over 175,000 on-brand assets for our customers.\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/ad3ce037-7d78-4314-984d-80ca741181e8)\n\n**Our ask**\n\nWe'd love to hear from:\n\n* **Agents and product builders** who leverage brand context or need to produce on-brand assets.\n* **Brands and agencies** running marketing at scale\n\nReach out: [ray@trybloom.ai](mailto:ray@trybloom.ai)\n\nTry it: [trybloom.ai](http://trybloom.ai)\n\n![uploaded image](/media/?type=post&id=102368&key=user_uploads/2440455/f3b57cca-b17f-437a-8590-7ffe691124be)\n\n", "url": "https://www.ycombinator.com/launches/Qd6-bloom-the-brand-layer-for-agents", "votes": 55, "created_at": "2026-06-01T14:23:38.273Z" } ] }, { "id": 31294, "name": "Dispatch", "slug": "dispatch", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93a4cb68bc153f52d09c71b45093cc62ba91a62.png", "website": "https://dispatch.space/", "all_locations": "San Francisco, CA, USA", "long_description": "Dispatch is building refurbishable reentry vehicles that host and return payloads for companies making ultra-high-value materials (semiconductors, biotech, and pharma) that can only be manufactured in space. Right now, these companies have no practical way to manufacture and get their products back to Earth. We solve this bottleneck.\r\n\r\nWe just returned from the Mojave Desert testing our first full-scale reentry heat shield designed to protect the satellite as it returns from space at Mach 20+, built in an apartment for 100x cheaper than competitors. To test, we held it behind a rocket engine to simulate the forces of atmospheric reentry. IT WORKED! Watch here - https://youtu.be/dhlQmnIoptg\r\n\r\nTo scale, we anchor permanent infrastructure in orbit - building high power Autonomous Space Stations designed from day one for \"lights-out\" manufacturing serviced by the reentry vehicles.", "one_liner": "Satellites for Manufacturing in Space", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1773166639, "tags": [ "Hard Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dispatch", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dispatch.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dispatch-space", "x_url": "https://x.com/dispatchspace", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d93a4cb68bc153f52d09c71b45093cc62ba91a62.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": 564908, "full_name": "Payton Case", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Dispatch | Building satellites for in space manufacturing\n\nFormerly Astranis office of the CTO engineer driving everything from spacecraft architecture, to production, to their most critical mission operations.\n\n\nhttps://x.com/ngmxyz/status/1867769725415305593?s=19", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/paytoncase/", "x_url": "https://x.com/dispatchspace", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2c7f68f1bf8be75821921f8a5399071e1026eef.jpg" } ], "jobs": [ { "id": 98190, "title": "Mechanical Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/7NBJCKG-mechanical-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98802, "title": "Aerothermal Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/ChtwGs9-aerothermal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110102, "title": "GNC Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/JSbZ7qT-gnc-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Hardware", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110103, "title": "Mechanical Engineering Intern, Spring 2027", "url": "https://www.ycombinator.com/companies/dispatch/jobs/506bLfE-mechanical-engineering-intern-spring-2027", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110104, "title": "Electrical Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/Rba7TJq-electrical-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Electrical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110105, "title": "Thermal Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/XfQGhOI-thermal-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110106, "title": "Flight Software Engineering Intern", "url": "https://www.ycombinator.com/companies/dispatch/jobs/tGYjKtS-flight-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Embedded systems", "salary_range": "$30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 110465, "title": "Thermal Engineer", "url": "https://www.ycombinator.com/companies/dispatch/jobs/ttst5vc-thermal-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$100K - $170K", "equity_range": "0.25% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 99179, "title": "Dispatch | Satellites for Manufacturing In Space", "tagline": "Bringing things back from space shouldn't cost more than sending them up", "body": "**Gravity is an Invisible Constraint on Manufacturing.**\n\nSome of the most valuable materials we can make from perfect semiconductors, to novel pharmaceuticals, to 3D printed organs can only be manufactured in microgravity. Space unlocks an entirely new class of products impossible to create on Earth but the infrastructure to manufacture at scale in space and return the products to Earth doesn't exist yet.\n\nWe're Payton and Andrew. We spent 4 years together at Astranis building geostationary communications satellites. We know how to build hardware that survives the extreme environments of space. Now we're building the vehicles to bring it back.\n\n**We just got back from the Mojave Desert** where we tested our first full-scale reentry heat shield, designed to protect a spacecraft returning from orbit at Mach 20+. We built it in an apartment for **100x cheaper than competitors**, held it behind a rocket engine to simulate atmospheric reentry and it worked as designed! \n\n**The Problem: Getting things back from space is harder and more expensive than sending them up.**\n\nCheaper launch costs and new heavy launchers like Starship and New Glenn are driving a boom in space manufacturing. Pharmaceutical, semiconductor, and biotech companies are racing to produce in microgravity. But return is the bottleneck:\n\n\\- NASA pays **2x more** to bring cargo down from the ISS than to send it up\n\n\\- Human-rated vehicles add massive overhead costing **over $100,000/hr** for astronaut time\n\n\\- Return slots from the ISS are limited to a handful of Dragon missions per year, on\n\n  NASA's schedule, not yours\n\n\\- The ISS is aging infrastructure with an uncertain future and no clear successor\n\nAccess to orbit is cheaper than ever. Return is the unsolved problem. That's where we come in.\n\n**What We're Building:**\n\n**Phase 1: Reentry Vehicles (mid-2027 first flight)**\n\nRefurbishable, autonomous reentry vehicles designed for mass manufacturing. Customers manufacture products inside while in orbit. We return them to Earth, swap the heat shield, and fly again. No astronauts, no ISS, no 6-month wait. Dedicated missions on your schedule.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/60dbaefc-95c5-4f64-8d26-0dbffe3404d1)\n\n**Phase 2: Uncrewed Space Stations**\n\nTo scale space manufacturing, you need permanent infrastructure in orbit. Serviced by our reentry vehicles. We're building high-power uncrewed space stations designed from day one for lights-out manufacturing unburdened by human life support, serving as a shared utility grid so payloads can leverage massive power without carrying the mass and complexity of their own high power bus.\n\n![uploaded image](/media/?type=post&id=99179&key=user_uploads/564908/4911d2cd-a89b-496d-b8f3-3c89d3763f3d)\n\nThe ISS proved that manufacturing in microgravity works. But it was built for humans, and everything that rides on it reflects that in their cost, schedule, and complexity. The next generation of space infrastructure doesn't need to. Advancements in autonomy let us build cargo-only vehicles from the ground up: cheaper, faster, and scalable. The space economy needs its own industrial layer and we’re here to build it.\n\n**We'd love to hear from you!** If you're building something that needs microgravity, dealt with reentry or thermal protection systems, or if you just have strong opinions about how space logistics should work - let's talk. ", "url": "https://www.ycombinator.com/launches/Pnf-dispatch-satellites-for-manufacturing-in-space", "votes": 34, "created_at": "2026-03-31T14:12:32.835Z" } ] }, { "id": 31323, "name": "Hedge", "slug": "hedge", "former_names": [ "Taven" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/757956da562e7db7b519f5658a7c7ffb78f05a6b.png", "website": "https://www.hedgespecialty.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Hedge is an AI-Native specialty insurance company. We help insurance brokers find faster, cheaper, and better coverage for their customers. ", "one_liner": "AI-Native insurance company", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1777586182, "tags": [ "Fintech", "B2B", "Insurance", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hedge", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hedge.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hedgeinsurance/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/757956da562e7db7b519f5658a7c7ffb78f05a6b.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": 2567632, "full_name": "Luke Button", "title": "Founder/CEO", "founder_bio": "Building Hedge. Prev. founded Fernstone (AI-powered retail insurance brokerage), led a growth team at Traba (Series A, backed by Founders Fund), Head of Growth at Antimetal, cofounder at Contrast (acquired). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukebutton/", "x_url": "https://x.com/lukebbutton", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/717eb78534ed7d2d8edf2ceae8d8697daa67808f.jpg" }, { "user_id": 3568359, "full_name": "Luke Rosa", "title": "Founder", "founder_bio": "Building Hedge. Prev. Head of Scaled Systems at Traba (Series A, backed by Founders Fund, Khosla), replaced humans with AI agents to manage $20 MM+ in revenue. Econ at UChicago. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luke-rosa-4a2717160", "x_url": "https://x.com/lukerosa_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/524a034d003bd11ddfd046107d99a729dad21e3d.jpg" } ], "jobs": [ { "id": 106786, "title": "Founding Head of Partnerships", "url": "https://www.ycombinator.com/companies/hedge/jobs/OhSqnTH-founding-head-of-partnerships", "location": "Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$120K - $250K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106787, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/hedge/jobs/WJGXGrP-founding-account-executive", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106788, "title": "General Application", "url": "https://www.ycombinator.com/companies/hedge/jobs/ySdNL2F-general-application", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106789, "title": "Founding Sales Development Representative (SDR)", "url": "https://www.ycombinator.com/companies/hedge/jobs/y0kYytQ-founding-sales-development-representative-sdr", "location": "San Francisco - In Office", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106790, "title": "Founding Head of Markets", "url": "https://www.ycombinator.com/companies/hedge/jobs/TYij9MV-founding-head-of-markets", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $200K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106791, "title": "Founding Underwriter", "url": "https://www.ycombinator.com/companies/hedge/jobs/CJf8gSe-founding-underwriter", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106792, "title": "Founding Wholesale Broker - Commercial Auto", "url": "https://www.ycombinator.com/companies/hedge/jobs/vlnK55k-founding-wholesale-broker-commercial-auto", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106793, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/hedge/jobs/Tke1Rmp-business-development-representative", "location": "San Francisco - In Office", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $100K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106794, "title": "Founding Wholesale Broker - Property", "url": "https://www.ycombinator.com/companies/hedge/jobs/gwAnWOS-founding-wholesale-broker-property", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106795, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/hedge/jobs/Ne6tWKy-founding-engineer", "location": "San Francisco - In Office", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106796, "title": "Founding Wholesale Broker - Trucking", "url": "https://www.ycombinator.com/companies/hedge/jobs/e2SS7zW-founding-wholesale-broker-trucking", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106797, "title": "Founding Growth Operations", "url": "https://www.ycombinator.com/companies/hedge/jobs/BWCIwMc-founding-growth-operations", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106798, "title": "Founding Wholesale Broker - Casualty and Excess", "url": "https://www.ycombinator.com/companies/hedge/jobs/eGhKzSh-founding-wholesale-broker-casualty-and-excess", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106799, "title": "Founding Wholesale Broker - Professional Lines, Management Liability, and Cyber", "url": "https://www.ycombinator.com/companies/hedge/jobs/WzmvwG2-founding-wholesale-broker-professional-lines-management-liability-and-cyber", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106815, "title": "Founding Wholesale Broker - Medical Malpractice", "url": "https://www.ycombinator.com/companies/hedge/jobs/Xa6MiBj-founding-wholesale-broker-medical-malpractice", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106816, "title": "Founding Wholesale Broker - Entertainment", "url": "https://www.ycombinator.com/companies/hedge/jobs/ACmDtnJ-founding-wholesale-broker-entertainment", "location": "San Francisco - In Office", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$125K - $250K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 100966, "title": "Hedge: AI-native specialty insurance company", "tagline": "Helping brokers get faster and better coverage for their customers", "body": "**TLDR:** We help insurance brokerages get quotes faster and cheaper. We started as brokers, realized insurance is broken end to end, and are now building the plumbing to fix it.\n\nWe’re hiring across sales, ops, and engineering here in SF. [**Apply here**](https://www.workatastartup.com/companies/hedge)**.** \n\n### **The problem:**\n\nI started a YC-backed AI-native insurance brokerage because buying insurance sucked.\n\nWe thought the answer was building a better brokerage. But then we became brokers and realized we weren’t actually fixing the system.\n\nBrokers do important work. They help businesses navigate a messy market. But they don’t control the parts of the stack that determine speed, price, and coverage.\n\nEvery quote still depends on multiple layers of brokers, underwriters, carriers, reinsurers, MGAs, and wholesalers.\n\nEach layer is still manual. Someone re-enters the same information by hand, then emails it to another person in the chain who does the same.\n\nEven when brokers move fast, quotes still sometimes take days or weeks. Brokers hate this. Their customers hate it even more.\n\nWe realized the only way to fix this was to go full stack and rebuild the workflows ourselves.\n\n### **What we’re building:**\n\n[**Hedge**](https://www.hedgespecialty.com) helps insurance brokerages get better, faster, and cheaper coverage for complex businesses.\n\nTo do this, we’re starting with the wholesale layer. The first major bottleneck for brokers.\n\nOur competitors are billion-dollar businesses that are still almost entirely human-driven. Ryan Specialty, one of the largest wholesalers, spends almost 60% of revenue on salaries. Their version of innovation is giving manual work to offshore contractors.\n\nWe think the better version is rebuilding the workflow around AI from day one. Hedge uses AI agents paired with underwriting to help brokers get quotes faster.\n\nSoon, we’re moving up the stack: combining wholesale distribution and underwriting into one AI-native insurance company built to help brokers win more business.\n\n### **Let’s talk!**\n\nWe’re already working with some of the fastest-growing brokerages we know, and now we’re scaling as fast as possible.\n\nIf you place E&S business and want faster, cheaper quotes for your clients, we’d love to work with you.\\\n\\\nTo learn more:[ hedgespecialty.com](https://www.hedgespecialty.com/)\\\n\\\n**We’re hiring! [Apply here](https://www.hedgespecialty.com/careers)**\n\n![uploaded image](/media/?type=post&id=100966&key=user_uploads/2567632/24c6880c-1e40-4812-a0b5-ada49876f9db)\n\n", "url": "https://www.ycombinator.com/launches/QGU-hedge-ai-native-specialty-insurance-company", "votes": 17, "created_at": "2026-05-08T05:52:39.977Z" } ] }, { "id": 31325, "name": "Surtr Defense Systems", "slug": "surtr-defense-systems", "former_names": [ "Overwatch Systems", "Parallax" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab5a7de765aab31de659bc6429451ecb734f5da7.png", "website": "https://surtrdefense.com", "all_locations": "San Francisco, CA, USA", "long_description": "Surtr builds ParallaxOS, the open operating system for counter-UAS. It takes sensor data from any radar, RF detector, camera, or acoustic array and fuses it into a single unified picture with AI-driven threat classification and engagement recommendations. One interface, any hardware, human in the loop.", "one_liner": "The hardware-agnostic operating system for drone defense", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778573258, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/surtr-defense-systems", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/surtr-defense-systems.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/surtr-defense-systems/", "x_url": "https://x.com/surtrdefense", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab5a7de765aab31de659bc6429451ecb734f5da7.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": 679653, "full_name": "Anshul Ahluwalia", "title": "Founder/CEO", "founder_bio": "Ex Shield-AI Autonomy Engineer working on building open & modular C2 for Counter UAS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anshul-ahluwalia-17658264/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a20e16eff2335e51f70f393b84179b4fc849444.jpg" }, { "user_id": 3421205, "full_name": "Cameron Fiore", "title": "Founder/CTO", "founder_bio": "Building a hardware-agnostic, AI operating system for air defense. Before Surtr, I was an an autonomy engineer at Anduril and Shield AI, where I worked on missile defense systems and robot teaming in contested environments.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/camfiore/", "x_url": "https://x.com/cam_fiore", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bff72c22089a586864267add9be8d49f18c357a0.jpg" } ], "jobs": [], "news": [ { "title": "Exclusive: Surtr Raises $5M Seed for C-UAS Integration", "url": "https://www.tectonicdefense.com/exclusive-surtr-raises-5m-seed-for-c-uas-integration/", "date": "Jul 07, 2026" } ], "launches": [ { "id": 101258, "title": "Surtr Defense Systems", "tagline": "An Open Operating System for Counter-UAS", "body": "TLDR: We solve the interoperability problem in drone defense by being the operating system people actually trust and want to integrate with\n\n**What We Do**\n\nSurtr builds ParallaxOS, the open operating system for counter-UAS. It takes sensor data from any radar, RF detector, camera, or acoustic array and fuses it into a single unified picture with AI-driven threat classification and engagement recommendations. One interface, any hardware, human in the loop.\n\n**Demo Video**\n\n\n\n**Backstory**\n\nMy cofounder Cam and I are both autonomy engineers. I was at Shield AI building autonomy for Group 3 & Group 5 aircrafts. Cam was at Anduril doing the same.\n\nWe both saw the same problem from the inside: integrating sensors and effectors into existing C2 platforms is painful. The incumbent system uses a proprietary SDK with a revocable license where they alone decide who counts as \"compatible.\" Primes don't want to build on that. One OEM Cam worked with on Golden Dome refused to integrate, so the C2 vendor had to hire a third party to hack the data off the radar. More time, more money, worse product.\n\nParallaxOS is designed to be completely open. Anyone integrating with us has full transparency as to how their sensor/effector data is being used and where it’s being stored.\n\n**Asks**\n\n1\\. **Intros to defense program managers** working C-UAS (Army, SOCOM, Air Force, Navy, allied forces, etc.). Especially anyone evaluating or frustrated with current integration timelines.\n\n2\\. **Intros to sensor/effector hardware companies** (radar, RF, EO/IR, EW, kinetic defeat). We integrate with any hardware that has an API. Every partner that plugs in makes the ecosystem stronger for everyone.\n\n3\\. **Intros to anyone with firsthand experience operating C-UAS systems.** We want to hear what's broken from the people who use it.", "url": "https://www.ycombinator.com/launches/QLC-surtr-defense-systems", "votes": 8, "created_at": "2026-05-13T06:04:46.304Z" } ] }, { "id": 31326, "name": "Klarify", "slug": "klarify", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1e276eff7f94fc1f97bb94df15769f7ec1b4fef.png", "website": "https://www.klarify.ca/", "all_locations": "Toronto, ON, Canada", "long_description": "Klarify handles every job a therapist does other than the therapy itself, from clinical notes and treatment plans to insurance claims and finding new clients.\r\n\r\nTherapists hold the world together. They also run businesses, file insurance claims, write letters, fill forms, supervise new grads, and do hours of paperwork every night. \r\n\r\nPractice management software has existed for decades. It records what therapists do. It can't actually do any of it.\r\n\r\nKlara is the AI at the heart of Klarify. She handles notes, treatment plans, clinical letters, insurance claims, between-session resources, supervision prep, and finding new clients.\r\n\r\nNearly 12,300 therapists use Klarify today.\r\n\r\nOur mission is to empower therapists, not replace them. So they can focus on the one thing only a human can do. Be present with their client.", "one_liner": "AI Agent for Therapists", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare IT", "launched_at": 1778267831, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare IT" ], "regions": [ "Canada", "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/klarify", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/klarify.json", "year_founded": 2024, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/klarifytherapy/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1e276eff7f94fc1f97bb94df15769f7ec1b4fef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f569785869fd477cc2d95b6b7de2d0ce930e2486.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 303925, "full_name": "Moody Abdul", "title": "Founder/CEO", "founder_bio": "Founder of Klarify, an AI agent for therapists.\n\nPreviously founder @ Circleback.ai. \n\nContact: moody@klarify.ca", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/moodyabdul", "x_url": "https://x.com/MoodyAbdulf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ffb5b3843dde9c98f21227a4351fa8ad3d1b137.jpg" }, { "user_id": 1977587, "full_name": "Alexander Bergholm", "title": "Founder/CTO", "founder_bio": "CTO @ Klarify (Batch P26)\n\nHere to graduate clients from therapy by enhancing their therapeutic journey.\n\nFormer Div 1 collegiate CS player, top 50 in Canada — still clutch under pressure.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bergholmalexander/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/38f18808748d7f11b2fdd99653f7550542e8de90.jpg" } ], "jobs": [ { "id": 114407, "title": "Founding Product Manager", "url": "https://www.ycombinator.com/companies/klarify/jobs/2B0yXZs-founding-product-manager", "location": "Remote (US)", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.50% - 1.50%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 114408, "title": "Head of Product", "url": "https://www.ycombinator.com/companies/klarify/jobs/rRhVDwo-head-of-product", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "0.50% - 2.00%", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "The crisis behind the mental health crisis: therapist operational overload", "url": "https://www.dallasnews.com/opinion/commentary/article/therapy-overload-mental-health-counselors-22320633.php", "date": "Jun 28, 2026" }, { "title": "What Therapists Know About the Problems We Keep Debating | IBTimes", "url": "https://www.ibtimes.com/what-therapists-know-about-problems-we-keep-debating-3804004", "date": "Jun 12, 2026" }, { "title": "AI Should Handle the Busywork, Not the Therapy", "url": "https://www.techtimes.com/articles/318205/20260611/klarify-founder-moody-abdul-ai-should-handle-busywork-not-therapy.htm", "date": "Jun 11, 2026" } ], "launches": [ { "id": 101227, "title": "Klarify 🌱 AI Agent for Therapists", "tagline": "Klarify handles every job a therapist does other than the therapy itself.", "body": "Hey YC!\n\nWe're [Moody](https://www.linkedin.com/in/moodyabdul/) and [Bergie](https://www.linkedin.com/in/bergholmalexander/), co-founders of [Klarify](https://klarify.ca).\n\n## TL;DR\n\nTherapists work alone. Klarify is the AI agent that handles every job a therapist does other than the therapy itself: clinical notes, treatment plans, insurance claims, between-session resources, and finding new clients. Nearly 6,000 therapists use Klarify today, and we're growing fast.\n\n**Ask:** Know a therapist or clinic owner? Send them this post or reach us at [moody@klarify.ca](mailto:moody@klarify.ca).\n\n\n\n## The Problem\n\nDoctors have assistants. Lawyers have paralegals. Therapists work alone.\n\nThey spend their evenings on the work they didn't sign up for: clinical notes, treatment plans, finding new clients, fighting insurance denials.\n\nPractice management software has existed for decades. It stores what therapists do. It can't actually do any of it.\n\nExisting software stores notes but can't use them. Schedules clients but can't find new ones. Submits insurance claims but can't fight denials.\n\n## Our Solution\n\nKlarify does. Klara handles the work other than the therapy itself:\n\n* 📝 **Notes**: drafted from the session in seconds\n* 🩺 **Treatment plans**: personalized to each client\n* ✉️ **Clinical letters**: referrals, third-party reports, court letters\n* 🧾 **Insurance claims**: submitted, denials fought automatically\n* 📋 **Between-session resources**: customized homework and client check-ins\n* 📈 **Finding new clients**: AI-generated content that brings them in\n* And much more…\n\n> Klarify gave me something I didn't realize I had lost: time and energy. It has changed not only how I work, but how I live.\"\\\n> — Kelly Copeland, M.Ed, Registered Counselling Therapist\n\n## Where We're Going\n\nMental health is a global problem. Every therapist, in every country, runs into the same wall: they're alone with the work no one trained them for.\n\nUS outpatient mental health alone is a $40B market. Klara works in any language.\n\nIn a few years, the solo therapist runs a 7-figure practice. The 50-clinician group runs lean. All due to Klarify handling everything other than the therapy itself.\n\n## Our Ask\n\nTherapists, try us free at [klarify.ca](http://klarify.ca).\n\nFor therapist intros, investors in health/AI/vertical SaaS, or press covering AI in healthcare or mental health innovation: [info@klarify.ca](mailto:info@klarify.ca)\n\n## The Founders\n\nWe both have therapists who changed our lives. Klarify is what we wanted them to have.\n\n**Moody (CEO)** is a second-time founder. He previously co-founded [Circleback.ai](http://Circleback.ai), an AI meeting notes app. Before that he sold $20M in enterprise contracts at LinkedIn. He hosts the Future of Therapy Podcast.\n\n**Bergie (CTO)** has built LLM infrastructure at Workday. He holds a patent and a published paper from UBC in computer vision for self-driving cars, and researched deep learning with the Finnish Military's Special Task Force.\n\n![uploaded image](/media/?type=post&id=101227&key=user_uploads/303925/8a84fe0f-f147-46bc-a029-08b17c7b62e9)\n\n", "url": "https://www.ycombinator.com/launches/QKh-klarify-ai-agent-for-therapists", "votes": 92, "created_at": "2026-05-11T23:59:23.028Z" } ] }, { "id": 31327, "name": "Korso", "slug": "korso", "former_names": [ "Korso", "afterfive" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd03c9be7cf358b8834377c00d3855af56d7f064.png", "website": "https://korsoai.com/", "all_locations": "Irvine, CA, USA", "long_description": "Korso is an intuitive AI assistant that can work alongside you on your computer. It can operate apps, conduct research, and guide you when you are stuck, all by voice", "one_liner": "Your Capable Desktop AI Companion", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1773339255, "tags": [ "SaaS", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/korso", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/korso.json", "year_founded": 2026, "city": "Irvine", "country": "US", "linkedin_url": "https://www.linkedin.com/company/afterfiveclub/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Korso-AI", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fd03c9be7cf358b8834377c00d3855af56d7f064.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": 2729430, "full_name": "Martin Pan", "title": "Founder/CEO", "founder_bio": "Prev automations engineer at General Motors & Mechanical Engineering/Robotics at Penn (BS + MS). ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/martin-pan-42bb20244/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85870d12f50755c7890332288e7e94ce79bdb74b.jpg" }, { "user_id": 2913136, "full_name": "Daichi Hiraoka", "title": "Founder/COO", "founder_bio": "Prev electrical engineer at TransSiP & Electrical Engineering/CS at Penn", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daichihiraoka", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e2a48d384b37fba7e908c7e617b90be1c70977b2.jpg" }, { "user_id": 2344196, "full_name": "Alex Liu", "title": "Founder/CTO", "founder_bio": "prev swe @ gatekeeper systems & cs + applied math student at notre dame.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexdliu7", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/29eebfe7b2d2107a29ac7ff0d9655c139f32b8d6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 105011, "title": "Korso Shepherd: Tooling for all your agents to collaborate", "tagline": "So you never have to worry about conflicts again!", "body": "**TL;DR:** Tired of merge conflicts or agents rewriting each other’s code? Shepherd is an open-source tool that allows all of your agents, across sessions and team members, to communicate and collaborate while they work.\n\nThis was a problem that our team encountered while developing our previous product, so we built an internal tool to solve it.\n\nWe've been using Shepherd internally for a while now. It was initially more of an experiment to see how well agents could collaborate, but as we've iterated on it, it's become genuinely useful. Not only does it save us the time and effort of fixing rewrites/conflicts, but we've actually been seeing cleaner and more robust code from our agents, simply because they're able to see what their fellow agents are working on and communicate to write code that works together.\n\nShepherd is a simple MCP that you install once and your agents use forever with zero human input. We provide a dashboard where you can see what you and all of your team members' agents have being doing, in addition to a chat where you and your agents can send announcements, either directly or to everyone.\n\nYou can sign up at and it'll guide you through the process. The repo is also open-source at , and you can read more about Shepherd at korsoai.com/docs. Try it on our platform or even host it yourself.\n\n**Free** for all YC companies - we're currently in open beta, so we'd love for you to give it a try and share any feedback you have!\\\n\\\nShepherd in action:\n\n![uploaded image](/media/?type=post&id=105011&key=user_uploads/2729430/a8674cb3-9106-455c-ba95-43da06d29ba0)\n\n![uploaded image](/media/?type=post&id=105011&key=user_uploads/2729430/bb1ac2f5-2bf1-4448-8aab-f0eac1e5f182)\n\n", "url": "https://www.ycombinator.com/launches/RJj-korso-shepherd-tooling-for-all-your-agents-to-collaborate", "votes": 6, "created_at": "2026-07-08T21:30:46.820Z" }, { "id": 101233, "title": "Korso - AI Agents for Manufacturing", "tagline": "Automate any workflow and gain insights across your ERP, CRM, MES, Inbox, and more.", "body": "**TL;DR:** Manufacturers are buried in coordination work that is well-defined but still manual. Korso lets them describe those workflows in plain English and deploy autonomous agents that run across their existing systems.\n\n## \n\n## The Problem\n\nOps, procurement, and customer-service teams at manufacturers spend the majority of their week on coordination that is clearly defined but never automated:\n\n* Chasing suppliers for ETAs\n* Processing incoming RFQs\n* Routing PO approvals\n* Monitoring order exceptions\n* Following up on stale opportunities\n\nEvery person on one of these teams could write down the exact steps for the task, and yet nobody has built the thing that runs those steps reliably at scale.\n\nThe tooling around this problem is stuck in a half-finished state:\n\n* ERP-native AI answers questions about ERP data; it doesn’t execute the multi-step workflows that sit between the data and the work getting done.\n* Middleware and iPaaS connect systems but don’t make decisions.\n* Systems integrators custom-code workflows that take quarters to ship and break when a process changes.\n* BPO adds variable cost and leaves the underlying coordination fragmented.\n\nWhen a manufacturer adds a product line, a new region, or a new supplier tier, the coordination load scales linearly, and so does the headcount requirement.\n\n## What We Built\n\nAtlas generates autonomous coordination agents on top of the ERP systems manufacturers already run: SAP, NetSuite, Oracle, Dynamics 365, Odoo, and more.\n\nA workflow that today takes a quarter to custom-code or an ongoing BPO contract to staff is, on Atlas, described in plain English and stood up as a running agent in hours.\n\n## Workflows We’ve Deployed\n\n### Procurement & Supplier Coordination\n\nChases supplier responses, confirms ETAs, routes PO approvals, and escalates exceptions before they become missed deliveries.\n\n### RFQ to Quote\n\nParses incoming RFQs from email or portal, prices against history and current cost, drafts and routes quotes for approval, and tracks through to response.\n\n### Order & Exception Handling\n\nMonitors order status across ERP and transport systems, surfaces exceptions before they escalate, and maintains a complete audit trail.\n\n### Natural Language to Workflow\n\nTurn any manual process into automation simply by prompting an agent.\\\n\\\n**Our Ask:**\n\nIf you know any manufacturer with a coordination-heavy ops or procurement team, we’d love to talk! Feel free to book a demo at [korsoai.com](https://korsoai.com) or reach out to [support@korsoai.com](https://mailto:support@korsoai.com)", "url": "https://www.ycombinator.com/launches/QKn-korso-ai-agents-for-manufacturing", "votes": 29, "created_at": "2026-05-12T04:20:47.491Z" } ] }, { "id": 31329, "name": "primitive", "slug": "primitive", "former_names": [ "MyMX" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68d79963abcea30afcb5624fb54adb42544a50ed.png", "website": "https://primitive.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Building the communication infrastructure needed for fully autonomous agents", "one_liner": "communication for agents", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1773121787, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/primitive", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/primitive.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/primitivedotdev/", "x_url": "https://x.com/primitive", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/68d79963abcea30afcb5624fb54adb42544a50ed.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": 3342418, "full_name": "Ethan Byrd", "title": "Founder/CEO", "founder_bio": "Building primitive. Formerly founder of Actual AI and engineering @ Microsoft/AWS/FB/Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/etbyrd/", "x_url": "https://x.com/itsjustemail", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/768e945df9e6f2a9fb69f57470394ca0c4886421.jpg" } ], "jobs": [ { "id": 105463, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/primitive/jobs/xMBR7BQ-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$190K - $230K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105464, "title": "Email Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/primitive/jobs/JqLoJbb-email-infrastructure-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$190K - $230K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105465, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/primitive/jobs/RVWGWpZ-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$190K - $230K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 31330, "name": "Standard Signal", "slug": "standard-signal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a8bb04e2bfc061803541bd6c36efdf20229704c.png", "website": "https://standardsignal.com", "all_locations": "New York City, NY, USA", "long_description": "Standard Signal is the first hedge fund that researches and executes trades purely with AI. Our custom models discover and trade on new fundamental truths about the world before humans can.", "one_liner": "Hedge fund where AI researches and executes every trade end-to-end", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1775159965, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/standard-signal", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/standard-signal.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/StandardSignal", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a8bb04e2bfc061803541bd6c36efdf20229704c.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": 984097, "full_name": "Michael Royzen", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Standard Signal (YC P26), building the first hedge fund where AI runs everything from research to the actual trade execution end-to-end.\nPreviously co-founder & CEO at Phind (YC S22), where I built the first AI search engine and trained LLMs that beat GPT-4 on HumanEval (2024) and had the #1-ranked open-source coding model on Hugging Face for 6 months in 2023.\nUT Austin Turing Scholar '22\nPreviously an undergrad NLP researcher, as well as ML at Lyft, Cloudflare, and Microsoft.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaelroyzen/", "x_url": "https://twitter.com/michaelroyzen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/706f8f788e198ff32880b7ca40d15459d1f60a6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102374, "title": "Standard Signal - Hedge fund where AI researches and executes every trade", "tagline": "Standard Signal is the first hedge fund that researches and executes trades purely with AI. Our custom models discover and trade on new fundamental truths about the world before humans can.", "body": "# Standard Signal — the first hedge fund where AI does the trading\n\n## TL;DR\n\nStandard Signal is a hedge fund where AI researches the world and makes the trades — end-to-end, no human in the loop. The strategy is trading live today and has a Sharpe ratio above 3. We share full performance with qualified investors on request. We're opening to a small number of early investors.\n\n![uploaded image](/media/?type=post&id=102374&key=user_uploads/984097/cfad05e9-3b5e-4838-beb9-e91854aa0183)\n\n_The system trades on its own, with every decision logged and auditable in real time._\n\n## The problem\n\nThe most valuable trading is still done by hand.\n\nThe fast end of the market is a latency arms race — won by whoever has the lowest-latency infrastructure, not the best ideas. We don't play there. The real money is in big, asymmetric bets on shifts in the world that nobody else has priced in yet.\n\nBut that kind of trading is bottlenecked by people. The standard workflow is a human spending hours or days researching, forming a thesis, and wiring up a strategy by hand. It's slow, it doesn't scale, and it's capped by how fast one person can read, reason, and react.\n\n## Why now\n\nAI recently crossed a threshold. It can now take in what's happening in the world, reason over it, and act in seconds — collapsing a loop that used to take humans hours or days.\n\nThe catch is that research was never the hard part; judgment is. Off-the-shelf models are strong analysts and weak traders. Closing that gap is the whole game, and it's what we've built.\\\n\\\nThe way we close it is reinforcement learning. Our thesis is that judgment is learnable: trading, like math and code, comes with an objective scorecard — the market eventually grades every call as right or wrong. So rather than prompt a general-purpose model and hope, we train one directly on that signal, rewarding the judgment that compounds and penalizing the rest, until knowing when _not_ to trade is as sharp as knowing when to. The model doesn't just read the world — it has learned, from outcomes, how to act on it.\n\n## Traction\n\nThe strategy trades live today. In our live track record to date, it has run a Sharpe ratio above 3. Full performance figures are available to qualified investors on request. Every decision the system makes is fully auditable, and hard risk limits are enforced by our infrastructure rather than by the model.\n\n## Team\n\nMichael Royzen previously founded Phind, one of the earliest consumer AI chat companies, which built the first AI search engine — before ChatGPT — and scaled it to 150M+ searches. The team has trained some of the best AI models in the world, which is exactly the capability this fund is built on.\n\n![uploaded image](/media/?type=post&id=102374&key=user_uploads/984097/5942f9b5-982e-4cb6-a44f-40d2bedaccc3)\n\n## Why we'll win\n\nWe operate like an AI startup, not a quant shop: extreme focus, high talent density, and a lot of compute.\n\nThere are millions of tradeable securities, and other funds will eventually adopt AI too. Our edge is being first in a small number of the highest-value strategies. Being first gives us the most data on how our own trades move the market, which compounds: better data → better models → the most informed participant → better data.\n\nThe incumbents are handing us the window. The biggest players are still skeptical of letting AI drive real trading decisions. We think they're wrong, and their hesitation is our head start. The next RenTech will look more like an AI lab than a traditional quant shop — and we intend to be it.\n\n## The ask\n\nWe're opening to a limited number of accredited investors. Our full fee and redemption terms are set out in our offering documents and are available to qualified investors on request — early investors lock in our most founder-friendly pricing. If that's you, or you can introduce us to someone, reach out.\n\n---\n\n_This page is for informational purposes only and is not an offer to sell, or a solicitation of an offer to buy, any security or interest in any fund. Any such offer will be made only to eligible investors and only through definitive confidential offering documents, which should be read in their entirety before investing._", "url": "https://www.ycombinator.com/launches/QdC-standard-signal-hedge-fund-where-ai-researches-and-executes-every-trade", "votes": 36, "created_at": "2026-06-01T16:25:17.059Z" } ] }, { "id": 31332, "name": "Stage", "slug": "stage", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac5a6cce941f973ff80cb4496e195f4010e5c21b.png", "website": "https://www.tryluke.dev/", "all_locations": "New York City, NY, USA", "long_description": "Stage is a new code review platform designed to help engineers better understand and review AI generated code.\r\n\r\nEngineering teams are shipping faster than ever with agents, but now they’re drowning in an endless backlog of PRs to review. Stage reorganizes the code review process around how engineers naturally think, enabling you to review (and merge!) PRs 5x faster. \r\n\r\nUsed by top engineers at Legora, n8n, Branch, and more. ", "one_liner": "Code review platform for humans and agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1774297910, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stage", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/stage.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stagereview", "x_url": "https://x.com/stagereviewapp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac5a6cce941f973ff80cb4496e195f4010e5c21b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2bac73d4ef4860cd9a797d3129056892ebf93a18.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5d9e6b30996368c517f0b9a4acf6cf9b27807c24.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 327595, "full_name": "Charles Pan", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Stage. Stanford CS '22 and varsity men's fencing. Previously early engineer at Yuzu Health, Five Rings Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/charleslpan", "x_url": "https://x.com/ceefryingpan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/011369b7267350cb29773eb392e91ce034267d82.jpg" }, { "user_id": 1219322, "full_name": "Dean Stratakos", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Stage. Stanford CS '22 and varsity men's tennis. Prev developer @ Five Rings Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dean-stratakos", "x_url": "https://x.com/DeanStratakos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc7e3c53784c4a7f53937c0f5c000413d6256235.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101617, "title": "Stage - Code review platform for humans and agents", "tagline": "Stage helps engineering teams understand and review PRs 5x faster", "body": "Hey everyone! We’re Charles and Dean - cofounders of Stage.\n\n**👉 tldr:** Drowning in AI generated PRs? Tired of using GitHub? Us too. Stage is a code review platform designed to help you understand and review changes 5x faster.\n\n\n\n**💻 How to get started**\n\nTry it out today at[ https://stagereview.app/](https://stagereview.app/) - all you need is your GitHub account.\n\nIt’s free for your first 14 days, and then you can use _LAUNCH_ to get 25% off for 3 months :)\n\nOther ways to try it out:\n\n* Try our demo on any public GitHub PR [here](https://stagereview.app/try)\n* Download our open source CLI [tool](https://github.com/ReviewStage/stage-cli) - runs locally and works with any coding agent\n\n**❌ The Problem**\n\nEngineering teams are shipping faster than ever, but now they’re drowning in an endless backlog of PRs to review. The bottleneck isn't writing code anymore, it's reviewing it.\n\nThis leads to:\n\n* PRs being rubber stamped without getting closely looked at\n* Unexpected behaviors slipping through to production\n* Your engineers merging changes they don’t really understand\n\nCode review bots are great at catching surface level bugs but don’t solve the root problem.\n\nEngineers need a faster way of understanding changes and giving meaningful feedback, and GitHub’s UI hasn’t changed in over a decade.\n\n**🧠 How it works**\n\nWe’re redesigning the code review experience around the way that engineers naturally read PRs.\n\n* When you open a PR or push a new commit, Stage groups your changes into small logical “chapters”\n* These chapters get ordered in the way that makes most sense to read\n* For each chapter, Stage tells you what changed and specific things to double check\n* Once you review all the chapters, you’re done reviewing the PR!\n\nEverything is synced seamlessly with GitHub (commenting, approving, etc) so it fits right into the workflows you’re already used to.\n\n![uploaded image](/media/?type=post&id=101617&key=user_uploads/327595/5004c374-be1f-47fa-a182-638252d50cf6)\n\n**❤️ Why did we start Stage?**\n\nWe're two engineers who got frustrated with using GitHub for code review. \n\nAs coding agents started taking off, we saw our PR backlog pile up faster than we could handle. Not only that, the PRs themselves were getting larger and harder to understand, and we spent most of our time trying to build a mental model of what a PR was actually doing.\n\nWe built Stage to make reviewing a PR feel more like reading chapters of a book, not an unorganized set of paragraphs. We use it every day now (not just to review each other's code, but also our own!) and at this point we can't really imagine going back to using GitHub.\n\n**👋 About Us**\n\nCharles and Dean met in their very first class at Stanford freshman year, and have been best friends ever since.\n\nThey ended up taking every class together, worked at the same quant trading firm after graduating, and were roommates in New York before joining YC. They saw firsthand how AI caused code review to break down and started Stage to rebuild the experience for how teams operate today.\n\n![uploaded image](/media/?type=post&id=101617&key=user_uploads/327595/91328354-5de7-4d17-9ac6-4c48954f1e15)\n\n", "url": "https://www.ycombinator.com/launches/QQz-stage-code-review-platform-for-humans-and-agents", "votes": 43, "created_at": "2026-05-20T01:40:49.081Z" } ] }, { "id": 31333, "name": "PerfectBit, Inc.", "slug": "perfectbit-inc", "former_names": [ "Gikl, Inc", "PerfectBit" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.png", "website": "https://perfectbit.ai", "all_locations": "San Francisco, CA, USA", "long_description": "PerfectBit builds learned policies for robots that do real work. We train manipulation and control policies that hold up outside the lab, in the unstructured environments where real tasks actually happen. Founded by two alumni of Meta's Superintelligence org: Péter Vajda led Media GenAI foundation-model R&D (Emu, Movie Gen, image and video editing), and Seiji Yamamoto led teams in the Core Llama group across LLM pre-training and post-training, inference optimization, and computer vision. We're early, deliberately quiet about the details, and hiring the first researchers who will shape what this becomes. San Francisco, on-site.", "one_liner": "Robotics", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1773359306, "tags": [ "Machine Learning", "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/perfectbit-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/perfectbit-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/perfectbit", "x_url": "https://x.com/PerfectbitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/900c210e3f57ee42221dbb5ea21f81418b553e70.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": 3007971, "full_name": "Seiji Yamamoto", "title": "Founder", "founder_bio": "Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seiji-yamamoto-a630897/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b3404aa262c227d308c4e89f01657ebd082beaef.jpg" }, { "user_id": 45070, "full_name": "Peter Vajda", "title": "Founder", "founder_bio": "\nI worked as Director of Media Generation at Meta before 2026 for 11 years.\nI was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. \nI was Assistant Professor at Stanford University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/p%C3%A9ter-vajda-9a03aaa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0315fd092411900f3bed846cb6807bfb6d6290d6.jpg" } ], "jobs": [ { "id": 96987, "title": "Hiring Research Scientists and Research Engineers at PerfectBit", "url": "https://www.ycombinator.com/companies/perfectbit-inc/jobs/snGw8px-hiring-research-scientists-and-research-engineers-at-perfectbit", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$100K - $300K", "equity_range": "0.10% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "Deep Learning", "Reinforcement learning (RL)", "Computer Vision", "CAD Design", "Blender", "LLMs", "Transformers", "AI Agents", "Multimodal AI", "Diffusion Models" ] } ], "news": [], "launches": [ { "id": 101365, "title": "PerfectBit: AI Training data, correct by construction", "tagline": "Specialized data for the world's most powerful models.", "body": "# **TL;DR**\n\n_PerfectBit creates high-quality training data that's correct by construction. We verify against physics simulators, scientific databases, formal proof systems. It's what models need to cure hallucination, close common-sense gaps, and reach superintelligence. Reinforcement Learning from Verified Rewards (RLVR) was an early step in this direction. We go further. LLMs, robotics, AI for Science, and more._\n\n\n\n# **The problem: the failures standing between today's models and superintelligence**\n\nFrontier labs are bottlenecked on four data problems:\n\n* **Hallucination.** Models trained on noisy web scrapes produce confident, fluent statements that are wrong.\n* **Common-sense failure.** Models that solve graduate-level math still trip on trivial problems for a five-year-old.\n* **Information scarcity.** Scientific facts, formal derivations, peer-reviewed findings — they're a thin minority of tokens in any open-web scrape, drowned out by orders of magnitude of recipes, marketing copy, forum chatter, and AI-generated slop. Scaling the scrape doesn't change the ratio.\n* **Human annotation doesn't scale.** It's slow, expensive, and capped at human ability — superintelligence won't come from labeling at human throughput.\n\n# **What we do**\n\n* PerfectBit creates high-quality training data that's correct by construction. Every sample is generated against an oracle — physics simulator, scientific database, formal proof system — and verified before it ships, in text, code, image, audio, or video. For LLMs, we project observations about the world into natural language; for verticals like robotics and AI-for-science, we ship purpose-built datasets.\n\n# **Why us**\n\nWe've trained the models we're now building data for.\n\n* **Peter Vajda** — Former **Director of Media Generation at Meta**. Eleven years at Meta. Most recently led Media GenAI foundation-model R&D: **Emu** (text-to-image), image editing, **Movie Gen**, text-to-video, video editing, character-consistent generation. Earlier led efficient deep learning for computer vision powering on-device Augmented Reality and Virtual Reality (AR/VR) models. **Assistant Visiting Professor at Stanford** before Meta. PhD in Computer Science.\n* **Seiji Yamamoto** — Led teams in the **Core Llama group at Meta Superintelligence Labs**. Nine years at Meta as a **Senior Staff Research Scientist** across LLM pre- and post-training, inference optimization, full-duplex speech, and computer vision. **PhD in Physics**, publications in **Proceedings of the National Academy of Sciences** and **Physical Review Letters** (co-authored with a Fields Medalist). Stanford, Rice, Columbia; postdoc at a National Lab.\n\nBetween us: foundation-model training across text, image, video, and speech, shipped to billions of users — plus scientific chops to design the verifier stacks.\n\n# **We’d love to talk more**\n\nWe're talking to a small number of frontier AI labs about pilot engagements.\n\n* **Heads of data / data partnerships** at frontier labs\n* **Research leads** running pre-training, mid-training, post-training, or reasoning programs and shopping for a corpus that doesn't exist yet\n* **Model-training teams** preparing a next-gen training run who want a correct-by-construction supplement in the mix\n* **Researchers in formal methods, scientific computing, or domain-specific simulators** who want to contribute a verifier stack — we'd love to talk\n\nWe're also **hiring research scientists and engineers in San Francisco** (in-person). If you've shipped foundation-model training, built formal/simulation tooling or spent time developing AI training data at production scale, please reach out.\n\n# **Contact**\n\n* **Web:** [**https://perfectbit.ai**](https://perfectbit.ai)\n* **Email:** [**founders@perfectbit.ai**](mailto:founders@perfectbit.ai)\n* **Founders:** Peter Vajda, Seiji Yamamoto", "url": "https://www.ycombinator.com/launches/QMv-perfectbit-ai-training-data-correct-by-construction", "votes": 8, "created_at": "2026-05-14T19:03:28.026Z" } ] }, { "id": 31335, "name": "Memoir", "slug": "memoir", "former_names": [ "Tachyon", "Agentsite", "Agentsight", "Recon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/db5e3e6f38c3e09bc340d492006001bcc103b8d3.png", "website": "https://www.trymemoir.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Memoir is building a persistent and proactive AI teammate that helps an entire company keep up with its own progress. Think Instinct but for enterprise. We’re starting with product changes. When engineering ships something, Memoir understands who it affects and creates what each audience needs: a walkthrough for a customer, launch materials for a product marketer, or a technical explanation for another engineering team. It chooses the format and timing, then delivers the approved material in Slack. Nobody has to ask it to start.\r\n\r\nWe’re beginning with hands-on deployments, learning how each company works and where people depend on one another. That understanding will let Memoir expand beyond product releases to customer commitments, business decisions, and changes across departments. The idea grew from conversations with product marketers struggling to keep up with engineering, and the possibility of extending a proactive personal AI teammate to an entire business. \r\n\r\nOur ambition is a company where every important change sets the right communication in motion: the people affected receive something made for them, when they need it, without someone having to coordinate every handoff. As AI makes individual teams faster, Memoir helps that speed carry through the whole company.", "one_liner": "Everything your team ships, explained to everyone it affects.", "team_size": 1, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778812476, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/memoir", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/memoir.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/memoir-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/db5e3e6f38c3e09bc340d492006001bcc103b8d3.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": 1037475, "full_name": "Maanav Agrawal", "title": "Founder/CEO", "founder_bio": "CEO / Founder @ Memoir. BS/MCS from UIUC. Prev @ IMC Trading and PwC. 3x National Speech & Debate Finalist. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maanav-agrawal/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00967367a13c6779be9a426384092dd896ca5f7d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102386, "title": "Memoir: AI CMO for software companies", "tagline": "The new era of product marketing for fast-moving engineering teams", "body": "# \\*\\*\\*\\*\n\n**TL;DR:** AI marketing service for product-led software companies. We produce marketing artifacts at the same time you ship code. We turn your real product into social posts and demo videos in your voice automatically. Think of it as a clone of you that's also marketing your company at the same time.\\\n\\\n\n\n**We'd love to meet:**\n\n    **•    Technical founders who want to build in public** \n\n    **•    Devtool/B2B SaaS teams** where features ship weekly but marketing ships quarterly. We close that gap.\n\n    **•    Operators who've run GTM for devtools at scale** — we'd love to hear what worked and what didn't.\n\nReach out: [maanav@trymemoir.ai](mailto:maanav@trymemoir.ai) · [jason@trymemoir.ai](mailto:jason@trymemoir.ai) · DM on Bookface · \n\n**Why this exists**\n\nThe technical teams who build the best products are often the worst at marketing them. Not because they don't care, but because the existing marketing stack is built for someone else. Demo tools cost $30K/year and require sales calls. Social tools want briefs and brand guidelines. Agencies want six-week timelines. Meanwhile, the engineer-founder ships features into a void.\n\nNow that the cost of development is so low, the biggest differentiator is no longer product, its distribution and how well you can capture your target audience. This only happens if you build in public.\n\nThe gap isn't talent or budget, it's that marketing infrastructure hasn't caught up with how technical teams actually work.\n\nMemoir is one system. It reads your repo, drives your live staging app with an AI agent, generates branded demo videos with synthetic data so dashboards look real and narrates them in a voice cloned from yours. Then it drafts posts for X / LinkedIn / HN in your writing voice (learned from how you've posted before) and ships them to your audience after you approve them. The output is indistinguishable from how you'd write and record it yourself, if you had the time.\n\n**How we got here**\n\nJason and I met as interns at IMC Trading. We both wanted to build in devtools, and our first attempt was Memoir as an AI company brain, a knowledge base that synced with your code so internal docs stayed current. Real problem on paper, and people nodded when we described it. But nobody felt urgency about it. Stale docs are annoying, but they don't make you feel like you're losing\n\nWhat we kept noticing while building that, though, was a different pain that _did_ make founders feel like they were losing. We kept hearing the same thing from every successful founder and mentor: build in public, share your product, post consistently. And we kept failing to do it. Not because we didn't want to, but because we'd rather keep building than figure out what to post.\n\nWe watched it happen around us. The teams getting real inbound weren't always the ones with the best product, they were the ones whose founders showed up online. Jason had run a reselling business in high school and scaled multiple social accounts to real followings, so he'd seen distribution work firsthand. I've always been obsessed with marketing strategy, partly because my dad's in the space, partly because I've watched so many teams get ahead of others because of their marketing.\n\n**What's there today**\n\nWe ingest code changes to post product updates, create custom demo videos, and turn relevant current events into advertisements. We currently handle X, Linkedin, and Hackernews posting.\n\n**Why us**\n\nTwo technical founders who got tired of watching engineering-led companies stay invisible. If you've watched a great product fail to find its audience, or you're running one right now and feeling that exact thing, reach out.\n\n![uploaded image](/media/?type=post&id=102386&key=user_uploads/1037475/05714953-7bfc-4d85-b7dc-4b6b0775ecdb)\n\n", "url": "https://www.ycombinator.com/launches/QdO-memoir-ai-cmo-for-software-companies", "votes": 11, "created_at": "2026-06-01T18:59:03.691Z" } ] }, { "id": 31343, "name": "Multiplier", "slug": "multiplier", "former_names": [ "WithAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7c1a5b7f1d0f6a85da016ccad1a5a0cec81c513.png", "website": "https://multiplier.ai", "all_locations": "New York City, NY, USA", "long_description": "Multiplier helps institutional investors research stocks and manage their portfolios. We're live with six hedge funds, and our users spend 4+ hours a day in the platform.\r\n\r\nInvestors who try \"nearly every tool on the market,\" to quote a client of ours, \"wind up with an unwieldy collection of fragmented point solutions.\" Those who focus on building a great setup with general agents are instead \"signing up for a full-time job.\" So we deploy a platform called Multiplier that unifies structured data, unstructured data, AI work, human work, and tacit firm knowledge in one secure, governed, customized application.\r\n\r\nOur first vertical: independent equity funds with $250M-$5B of assets. They know AI is essential for staying relevant, but they don't have the time or talent to figure out what to do about it. But once we deploy Multiplier––\"We used to spend 80% of our time gathering information and 20% of our time acting on it,\" said one customer. \"Multiplier has flipped those percentages.\"", "one_liner": "Agent harnesses for asset managers", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778527074, "tags": [ "Fintech", "Productivity", "Investing", "AI", "Stocks" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/multiplier", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/multiplier.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/multiplier-dot-ai", "x_url": "https://x.com/_Multiplier", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/multiplier-dot-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7c1a5b7f1d0f6a85da016ccad1a5a0cec81c513.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/79/1781645150-40a75297eede8b140ca4005efd3859a0/96293f30e6e1ed95c3d463175df9c467.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022736Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=1e458b31dfa3aec5dfd0c55f587b68824f5f7b83c3801b5c1dfc6990b8d43064", "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 3405246, "full_name": "Ian McInnis", "title": "Founder/CEO", "founder_bio": "Princeton Mathematics, 4.0, Shapiro Prize, Behrman Fellow, ΦΒΚ early election, ΣΞ induction & outstanding research award, researcher (check ArXiV), novelist (check nowhere) | Investor and builder of LLM investment systems at Bridgewater Associates, the world's largest hedge fund | Classically trained Shakespearean actor\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/imj-mcinnis/", "x_url": "https://x.com/imjmcinnis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a9bbc8fb17bdf5e1597f1a1aa3638035b3b56b9.jpg" }, { "user_id": 3276162, "full_name": "Benjamin Finch", "title": "Founder/CEO", "founder_bio": "Before WithAI, Ben was the founding researcher and chief of staff at unicorn AI lab Sentient. He oversaw prompt security and multi-agent coordination work and built a million-strong community.\n\nHe received a bachelor's and a master's in Electrical and Computer Engineering Magna Cum Laude from Princeton, writing acclaimed theses on solar power investment and a novel blockchain design to solve coordination issues in Energy. He grew up in Maryland, Mongolia, Kenya, and Indonesia.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-finch-3a82471b5/", "x_url": "https://x.com/btsfinch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/46d8e5822a34f0ebbfc14618ae6798a9d6de0bbb.jpg" } ], "jobs": [ { "id": 110696, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/multiplier/jobs/FULAL7W-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $300K", "equity_range": "1.00% - 4.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "AI Agents" ] } ], "news": [], "launches": [ { "id": 101275, "title": "WithAI – Custom command centers for hedge funds", "tagline": "We help institutional investors research stocks and track their portfolio using AI.", "body": "We're Ian and Ben, co-founders of WithAI. WithAI helps institutional investors use AI to research stocks and manage their portfolios. We forward-deploy to set up Multiplier, a secure platform that teaches AI how the fund works and connects it to all the needed tools, files, data, and context, so that investors can use the full strength of today's agents without taking on a second job as Claude-wrangler. After three months, we're live with multiple clients, doing >$100k ARR. If you know a fundamental equity investor, we'd love to meet them. Email [ian@withai.co](mailto:ian@withai.co).\n\n\n\nAI has radically transformed coding. But in finance, super-sharp, highly-paid people are spending 2026 combing through an inbox full of PDFs, updating models in Excel, and eyeballing Bloomberg charts. Multiplier packages everything necessary to change that! It includes secure inference endpoints, changelogs, ontology maintainance, guardrails, and VM infrastructure, and it's all hosted on client servers. With a mix of open-source protocols and WithAI elbow grease, Multiplier connects to all the research, tools, and data used at a given firm. We conduct face-to-face interviews so we can give AI the tacit knowledge it needs to work at _your fund specifically_; gaps get filled by user feedback to the AI. Our interface––more like an IDE than a collection of chatboxes––makes oversight, guidance, and participation natural. Early clients have called Multiplier \"a tremendous proprietary knowledge flywheel\" and \"hugely insightful, a massive force multiplier.\" (In fact, that's where we got the name.) \n\nBen and Ian became fast friends building a deeptech investment group together (still going strong) and reunited because they'd independently hit on this idea. Ben, working on enterprise AI as founding researcher at Sentient Labs, saw what stopped his clients from accelerating like his engineers and wanted to productize the solution for the industry he knew best––investing. Ian, (profitably) overseeing an (undisclosably large) equity book at Bridgewater Associates, hacked together AI tools to help himself. They had a call to catch up one night and were spooked how they'd come to the same ideas.\n\nIf you know someone who picks stocks for a living (at a hedge fund, mutual fund, family office, etc.), we'd love to meet them. Get in touch at [ian@withai.co](mailto:ian@withai.co). Thanks so much!", "url": "https://www.ycombinator.com/launches/QLT-withai-custom-command-centers-for-hedge-funds", "votes": 35, "created_at": "2026-05-13T06:18:37.854Z" } ] }, { "id": 31344, "name": "Totalis", "slug": "totalis", "former_names": [ "UCALLEDIT®" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/511d877345852eb10f307bb1381829f64760f295.png", "website": "https://www.totalis.trade", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "derivative layer for prediction markets", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1774744766, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/totalis", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/totalis.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/totalistrading", "x_url": "https://x.com/totalistrading", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/511d877345852eb10f307bb1381829f64760f295.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": 1270958, "full_name": "Pravesh Mansharamani", "title": "Founder/CEO", "founder_bio": "building derivative layer for prediction markets | prev math @ waterloo ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pravesh-mansharamani/", "x_url": "https://x.com/ImTheBigP", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e54d4842bc9e697ec52bfa2b1ba9723c3ebe245c.jpg" }, { "user_id": 1555108, "full_name": "Eric Liu", "title": "Founder/CTO", "founder_bio": "Building the derivatives layer for prediction markets. Previously data @ coinbase, mle @ faire, math @ uwaterloo.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ericliujt/", "x_url": "https://x.com/ericliujt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6cdfb5fc8ba94677da64869ad659d9214f6323f.jpg" } ], "jobs": [ { "id": 107232, "title": "Prediction Market Quantitative Trader", "url": "https://www.ycombinator.com/companies/totalis/jobs/mqoEJPi-prediction-market-quantitative-trader", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$140K - $250K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Python" ] }, { "id": 109686, "title": "Founding GTM", "url": "https://www.ycombinator.com/companies/totalis/jobs/I76G9uV-founding-gtm", "location": "New York, NY, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $200K", "equity_range": "0.50% - 1.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101857, "title": "Totalis - Parlay on Anything", "tagline": "Derivative Layer for Prediction Markets ", "body": "**TL;DR:** Combine ideas across categories like crypto, politics, sports, and macro in one parlay!\\\ntry it out : [app.totalis.trade](https://app.totalis.trade/?invite=HXNnZfk3F4R8GZkbh7BMZc)\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/f74c704c-8bcc-4738-ba9f-5c2e2fdb4f0c)\n\nHey 👋 we’re Pravesh and Eric, building **Totalis**.\n\nPeople usually don’t think in isolated events. We think in second and third-order effects:\n\n* if Google has the best AI model, does S&P price go up?\n* if Trump talks about Crypto, does BTC move?\n* if macro gets weird, do gold + crypto move together?\n\nRight now, prediction markets mostly let you trade one event at a time. **Totalis lets you trade the whole thesis.**\n\nA parlay is simple: pick 2–5 things you think will happen together, combine them into one trade, and get a larger payout if all legs hit.\n\nInstead of putting $100 into each individual market, you can put $100 into the combined thesis. That makes it more capital efficient if your view is really about the events happening together.\n\nFor example:\\\n**“Google wins AI → SPY rips”**\\\nThesis:\\\n\\- if Google has the top AI model:\\\n\\- GOOGL closes above target\\\n\\- SPY closes above target\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/c3707919-ca3f-4f61-aeaf-95abc3030302)\n\n**“Geopolitics influencing asset prices”**\\\nThesis:\\\n\\- if Trump discusses “Iran” in China\\\n\\- if Trump says “Crypto”\\\n\\- Oil price above target\\\n\\- BTC above target\n\n![uploaded image](/media/?type=post&id=101857&key=user_uploads/1270958/21a5890c-0d22-4651-b3e9-9f24a005743d)\n\nWe’re starting with markets that resolve fast, data-rich, recurring, and with deep liquidity. These correlations are easiest to test.\n\n**How it works:**\\\nBrowse markets across crypto, politics, stocks, sports, weather, and more. Add legs to a parlay. We send it through RFQ and market makers return a quote. You accept or reject. No orderbooks, no central “house” that controls payout structure to ensure profits.\n\n**Why now:**\\\nPrediction markets have exploded, but they still mostly look like single-event betting. In mature financial markets, people don’t just trade single assets — they trade baskets, spreads, options, hedges, and structured products.\\\nParlays are the first obvious primitive for prediction markets.\n\n**Asks:**\n\n1. **Try the app:** [app.totalis.trade](https://app.totalis.trade/?invite=HXNnZfk3F4R8GZkbh7BMZc)\n2. **Drop your favorite parlay below:** what do you think happen together? We’d love to bring the best ones live and price them.\n3. **Market makers:** if you’re interested in making markets on parlays, or know someone who would be, please DM / intro us. We’d love to chat!\n\nNote: For regulatory reasons, we’re only offering this product to people outside of US right now.\n\nPravesh & Eric", "url": "https://www.ycombinator.com/launches/QUr-totalis-parlay-on-anything", "votes": 11, "created_at": "2026-05-25T14:52:29.789Z" } ] }, { "id": 31345, "name": "Replicas", "slug": "replicas", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/45f1eda8aab66eabaa151ae4c6fdca3a6325a068.png", "website": "https://replicas.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Replicas is a cloud coding agent that allows you to delegate tasks to Claude Code or Codex from the app, Slack, Linear, and more. Each task works inside of a sandboxed virtual machine, allowing teams to heavily parallelize work and burn through tickets.\r\n\r\nReplicas agents output higher quality PRs via feedback loops - each task automatically is notified and fixes CI failures and reads all code reviews. With Environments, engineering teams can configure agents to run their entire codebase locally, verify its work, and provide preview URLs.", "one_liner": "Run any coding agent harness in the cloud", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1773355936, "tags": [ "Developer Tools" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/replicas", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/replicas.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/replicas/", "x_url": "https://x.com/tryreplicas", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/45f1eda8aab66eabaa151ae4c6fdca3a6325a068.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": 1688990, "full_name": "Connor Loi", "title": "Founder/CEO", "founder_bio": "Building the best way to use cloud coding agents ;)\nprev helicone, td bank, and cohere :)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connor-loi/", "x_url": "https://x.com/connortbot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/210f1d94c31da97e75459a8f636111f867a16e8d.jpg" }, { "user_id": 2136272, "full_name": "Saai Arora", "title": "Founder/CTO", "founder_bio": "CTO @replicas, Prev: General Context, Shopify, IBM and Autotrader\nCS Uwaterloo", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saai-arora-2a94921b9/", "x_url": "https://x.com/SaaiArora", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c67d059f38e420c2ebc26c0fdfe3f9d68be23012.jpg" } ], "jobs": [ { "id": 92797, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/replicas/jobs/1r7KcWj-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 116603, "title": "Founding Growth", "url": "https://www.ycombinator.com/companies/replicas/jobs/fmrVgOj-founding-growth", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 99287, "title": "Replicas - End-to-End Background Coding Agents", "tagline": "Background coding agents for engineering teams", "body": "Hi there, I'm Connor from [Replicas](https://replicas.dev/) :)\n\nRecently, you might have seen Stripe and Ramp release blogs outlining their in-house background coding agents. This showed us that background agents, with the proper tooling, can be relied on to ship critical production code.\n\nReplicas is a background coding agent that can run your codebase locally.\n\nWe’re used by 20+ YC startups at all team sizes.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/b35f4253-6fd0-478b-a04f-26f73a18b625)\n\n**The Problem**\n\nBackground coding agents are a huge productivity boost for clearing tickets and shipping faster.\n\nThe existing solutions - CC/Codex on Cloud, Cursor Agents - lock you into one harness and give you **no control over the environment**.\n\nThis defeats the entire point of \"background\" agents. A powerful background agent should run everything locally, verify its work, and iterate until it's satisfied.\n\n**How Replicas Works**\n\n**Replicas** helps you delegate to as many background agents as you need:\n\n\\- Bring your own Claude/Codex credentials\n\n\\- Each agent gets a sandbox VM with your code cloned\n\n\\- The agent installs deps, spins up databases, runs services, and verifies its work locally\n\n\\- When it's done, it opens a PR for you to review\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/e20b6968-523d-4376-a05c-ba175cc61611)\n\nReplicas can be triggered from Slack, Linear, GitHub (PR reviews, CI/CD failures), the Dashboard, or API.\n\nThe biggest difference is **Environments**. You can configure the following:\n\n\\- Files\n\n\\- Env vars\n\n\\- Start hooks\n\n\\- Warm hooks\n\n\\- Skills/MCPs\n\nIt's built so that its flexible to any kind of codebase, allowing Replicas to run everything locally just like a human engineer would.\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/df185d7b-b90e-455f-9ff7-10dcefcfd8c7)\n\nReplicas can also create **Previews**:\n\n![uploaded image](/media/?type=post&id=99287&key=user_uploads/1688990/7be01ba9-b653-43f2-975d-234002802e15)\n\nMeaning you can check out services (e.g web app on `3000`) running on the sandbox's VM from your computer with just a click :)\n\nCheck out this writeup for Replicas V1 for more details:\n\n\n\n**Demo Video**\n\n\n\n**What's Next**\n\n\\- **Automations + API**: Improving our API and adding an automations menu, e.g having Replicas run every night.\n\n\\- **Recursive**: Replicas can break down super complex tasks by creating more Replicas instances.\n\n\\- **Lowering Latency**: For larger teams, improving our warm pool and snapshotting infrastructure to make spinning up Replicas feel _instant_ (more than it already does)\n\n\\- **Long-term Memory**\n\n\\- and what our customers ask for :p\n\n**What I'm asking from you**\n\n\\- Sign up () or reach out ([connor@replicas.dev](mailto:connor@replicas.dev))\n\n\\- Check out \\[this writeup\\]() for Replicas V1\n\n\\- Upvote if this resonates with you!", "url": "https://www.ycombinator.com/launches/PpP-replicas-end-to-end-background-coding-agents", "votes": 87, "created_at": "2026-04-01T17:38:42.126Z" } ] }, { "id": 31346, "name": "Rudus", "slug": "rudus", "former_names": [ "BuildFlux" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/407f4a93871730524968180bcf20dd23fc9ce7b2.png", "website": "http://rudus.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Rudus is an AI-powered takeoff and estimation platform enabling concrete contractors to win 3x more projects yearly. It automatically identifies every concrete structure like footings, walls, columns, and slabs on plans, eliminating the manual work and reducing estimation time by 70%. Concrete is the most-used material on earth after water, and demand is surging with the AI infrastructure boom.", "one_liner": "AI Takeoffs for Concrete", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1777879888, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rudus", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rudus.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rudusai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/407f4a93871730524968180bcf20dd23fc9ce7b2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1cd65d5a193de6e15b20f7d593b87a0b6eccc1ce.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2926837, "full_name": "Rishi Pankhaniya", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Rudus, Ex-Airbnb(1st new grad engineer in 2+ years), Apple. Studied CS @ UIUC. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishi-pankhaniya-b69649183/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/961651ff6f37710702f0fe5d815b77f2eb3f8ce5.jpg" }, { "user_id": 2504494, "full_name": "Sahil Goel", "title": "Founder/CTO", "founder_bio": "Co-Founder @ Rudus. Ex-Amazon, NASA JPL, Northrop Grumman. Studied Computer Science and Construction Management at Cal Poly SLO, home to the #1 ranked undergraduate Construction Management program in the nation. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sahilgoel05", "x_url": "https://x.com/goesahil", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d05423c9a5c0b64b5ab34a786ba4a222dd9a0880.jpg" } ], "jobs": [ { "id": 98125, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/rudus/jobs/SImGWlm-founding-engineer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $160K", "equity_range": "0.30% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "TypeScript" ] }, { "id": 98126, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/rudus/jobs/62WqaHp-forward-deployed-engineer", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $160K", "equity_range": "0.30% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Python", "TypeScript" ] }, { "id": 98127, "title": "Founding Research Scientist, Computer Vision (PhD)", "url": "https://www.ycombinator.com/companies/rudus/jobs/GfP0RvS-founding-research-scientist-computer-vision-phd", "location": "San Francisco, CA, US / New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.30% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "Computer Vision" ] } ], "news": [], "launches": [ { "id": 101234, "title": "Rudus: AI-powered takeoff for concrete subcontractors", "tagline": "Rudus helps concrete contractors produce quotes 80% faster", "body": "**TL;DR:** Rudus is an AI-powered takeoff and estimation platform built for concrete subcontractors. Takeoff is the process of measuring and quantifying materials from concrete plan sheets. Rudus identifies every concrete structure (footings, walls, columns, slabs), pulls in related details, and eliminates hours of manual quantity calculation.\n\n**Ask:** If you know anyone in construction, we would greatly appreciate a warm introduction. Concrete-specific would be even more amazing. We would also love to talk to anyone who has built computer vision models.\n\n**Launch video**\\\n< >\n\n**The problem:**\n\nConcrete subcontractors are the backbone of every building, and their estimating workflow hasn't changed in 20 years . A senior estimator opens a PDF, manually traces every footing and grade beam, then hand-builds an Excel spreadsheet with 300+ line items- volumes, formwork, rebar by bar size with lap splices and development lengths. One bid takes 20 to 40 hours. Most firms have just a few estimators. That means they physically cannot bid on most of the work available to them. \n\nThe software incumbent in this trade hasn’t been updated since 2020. Past that, every AI takeoff tool on the market was built for GCs and treats concrete as one checkbox. None of them expand rebar assemblies. None of them compute development lengths. None of them output quantities the way a concrete estimator actually prices work. We built Rudus for this trade and only this trade. \n\n**Solution**\n\nAn estimator uploads their structural PDFs. Rudus auto-classifies every sheet (foundation plans, section details, footing schedules, frame elevations) and routes each to the right processing pipeline. Computer vision detects concrete elements across the drawing set and follows cross-references across sheets to resolve dimensions and detailing, catching elements that plan-only tools always miss. Each element gets expanded into full assembly line items: concrete, formwork, and rebar with all the calcs an estimator would normally do by hand. A typical foundation package goes from a handful of assemblies to 80-120 priced line items. The estimator reviews, overrides where needed, and exports straight into their existing workflow. We cut takeoff time by 80% and help estimators bid 3-5× more projects without adding headcount. From plan upload to bid package, every part of the workflow gets faster. \n\n**How we got here**\n\nSahil and I were engineers at Amazon and Airbnb respectively. We are both from Cupertino, CA and have been best friends since high school, always talking of starting a company together. Sahil took a construction management class and realized estimation workflows hadn't changed in decades. We started cold calling, walking into offices, showing up at job sites, and everyone told us the same thing: slow estimation is the biggest bottleneck in their business, but every new product they've tried has failed. We quickly realized that the reason those tools failed is a lack of trust. Estimators stake million to billion dollar bids on these numbers, and they won't trade their workflow for a black box. We took a different approach: software that accelerates their current workflows rather than replacing it by forward deploying our product into their current estimation workflow. The response from the industry was overwhelmingly positive, and we now ship weekly to estimators with decades of experience. They keep asking for more.", "url": "https://www.ycombinator.com/launches/QKo-rudus-ai-powered-takeoff-for-concrete-subcontractors", "votes": 72, "created_at": "2026-05-12T02:44:19.484Z" } ] }, { "id": 31350, "name": "Hexa", "slug": "hexa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/18de5d109d1472eebb05fe3ee80832938d3c1cef.png", "website": "https://www.hexaagents.com", "all_locations": "London, England, United Kingdom", "long_description": "Hexa helps industrial distributors automate their sales and procurement workflows to quote faster and win more bids. ", "one_liner": "Autonomous operations for industrial distributors", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1778807756, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hexa", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hexa.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/18de5d109d1472eebb05fe3ee80832938d3c1cef.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": 2767100, "full_name": "Ishaan Makkar", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Hexa (YC P26), building vertical AI agents for manufacturers and distributors. Previously founded a B2B ed-tech startup that scaled to 70+ partners and 5,000+ users. Physics @ Imperial. Competed at the national level in UK distance running.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ishaan-makkar", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53fbc7799ecbed1ba1bb7ab460e6644034460c42.jpg" }, { "user_id": 2967089, "full_name": "Mann Patira", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Hexa: The OS for Manufacturers and Distributors.\nEx AI @ Bloomberg and SWE @ Autodesk\nMEng in ML & AI from Imperial College London", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mannpatira/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a73d88bc3ce7887be6311c31d75d9bfcb3e20382.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102525, "title": "Hexa: Autonomous operations for industrial distributors", "tagline": "We automate sourcing and quoting. Distributors sell more at higher margins.", "body": "Hey everyone, we’re [Ishaan](https://www.linkedin.com/in/ishaan-makkar/), [Auri](https://www.linkedin.com/in/aurideep/) and [Mann](https://www.linkedin.com/in/mannpatira/) - cofounders of [Hexa](https://www.hexaagents.com) 👋\n\n\\\n**TLDR**\n\nHexa automates sales and procurement for industrial distributors and manufacturers, helping them source parts cheaper and quote faster to grow revenue by over 10%.\n\n\n\n**The Problem**\n\nMid-market distributors and high-volume manufacturers run everything through legacy ERPs, and those systems still depend on humans to key in every quote, order, and invoice.\n\nSales reps spend their days reading RFQs from email, PDF, Excel, and fax, then retyping them into the ERP instead of talking to customers.\n\nQuoting takes hours, which means distributors respond slowly and lose 15%+ of revenue each year.\n\nThe people who actually know how to run these systems are retiring. Over half the workforce will leave this decade, and the knowledge in their heads walks out with them.\n\nYou cannot grow faster than you can hire. Service slows and relationships suffer.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/da1b1daf-476d-42f0-a878-007c6012dc36)\n\nHexa plugs into the systems you already use and brings AI agents natively inside the ERP. No rip-and-replace, live in days.\n\nHexa watches every channel a request comes in on and runs the full workflow:\n\n* Quoting: Reads the RFQ, matches the right SKU and pricing, and drafts the quote so it is ready to send.\n* Order Entry: Matches the incoming PO to the quote, creates the sales order, and writes it into the ERP.\n* Procurement & Finance: Sources out-of-stock items at the best cost, then reconciles AP/AR and catches discrepancies humans miss.\n\nReps review and approve instead of hours of admin. Response times go from hours to minutes, win rates increase.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/2907d734-5902-4a91-95f7-9cea885197f0)\n\nIshaan (CEO) - Grew up around manufacturing; his family runs one of India’s largest paper producers. He scaled a previous B2B startup to 5,000+ users, then worked at a manufacturer building the exact automations Hexa sells today.\n\nMann (CTO) - Studied Computer Science at Imperial. Worked at Bloomberg as an ML engineer building graph neural networks for financial derivatives, and at Autodesk building software for manufacturers.\n\nAuri (COO) – Worked in the Private Equity team at KKR where he covered distributors, the exact buyers Hexa sells to. Prior to this worked in the technology investing team at Apax. Former U14 England chess player.\n\nWe’ve known each other for over a decade, from the same school and town, and now live together.\n\n**Our ask:**\n\nIf you know an owner of an industrial distributor or a VP of Sales or Operations, please reach out. We have a 15% referral bonus!\n\n", "url": "https://www.ycombinator.com/launches/Qfd-hexa-autonomous-operations-for-industrial-distributors", "votes": 7, "created_at": "2026-06-03T20:08:30.161Z" } ] }, { "id": 31351, "name": "Scope", "slug": "scope", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d0e13bdfef2fd20cec6977b8134ca84d57ab225.png", "website": "https://tryscope.com", "all_locations": "San Francisco, CA, USA", "long_description": "Scope is the system companies use to measure and improve how agents discover, interact and use their product.\r\n\r\nAs more products gets used through AI agents like Claude Code, Codex, Cursor, and similar agents, agents are starting to influence which tools get chosen, how they get set up, and whether they keep getting used. Most companies still cannot see that process clearly.\r\n\r\nWe run real workflows across agents and show teams when the agent picks them versus a competitor, where it breaks, where docs or product surfaces confuse the agent, and what to change to get better results and a better agent experience.\r\n\r\nI started Scope after working on interpretability research for closed-source models at Princeton and later as an ML engineer in GEO/AEO. I kept seeing the same pattern: these systems were shaping real product discovery and usage, but companies had very little visibility into what the model was actually doing.\r\n\r\nWe are starting with products that agents can directly interact with, especially APIs, infra products, CLIs, and MCP servers.", "one_liner": "We help software companies get discovered and used by AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778026418, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/scope", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/scope.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryscope", "x_url": "https://x.com/tryscope_app", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d0e13bdfef2fd20cec6977b8134ca84d57ab225.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4f6c1ad896b9f534771954deaff8fb88afb2e521.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2135050, "full_name": "Anand-Arnaud Pajaniradjane", "title": "Founder/CEO", "founder_bio": "Anand is the founder of Scope, which helps companies understand and improve how AI agents discover, choose, and use their product.\n\nBefore Scope, he did interpretability research on closed-source models at Princeton and later worked as an ML engineer in GEO/AEO. He started Scope after seeing that model behavior was becoming commercially important, while companies still had almost no visibility into how those systems were influencing product discovery and usability.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anand-arnaud-pajaniradjane/", "x_url": "https://x.com/anandPa94", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89238730d57b527b13250fff688f428281761907.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101192, "title": "Scope - The Agent Experience Platform", "tagline": "We help companies understand and improve how AI agents discover, choose, and use their product", "body": "Hey everyone! I’m Anand, founder of Scope.\n\n**Problem**\\\nMore and more products are now being used through Claude Code, Codex, Cursor, and similar agents. If your product is accessible to an agent, the agent can now decide which product to use, how to set it up, and whether it keeps using it after that. Most companies still can’t see that process clearly.\n\nThat means they often do not know when an agent is choosing them vs. a competitor, where it is getting stuck, or what part of the product or docs is causing the problem.\n\n**Solution**\\\nThat’s what Scope is for.\n\nWe run real workflows across agents and show teams:\n\n* when the agent chooses them vs. a competitor\n* where it breaks\n* where docs or product surfaces confuse the agent\n* what to change to get better results\n\nA simple example: a company thinks their product works well with agents, but on a real task the agent picks a competitor, gets stuck during auth, or goes down the wrong path because the docs are unclear. Scope shows the trace, where it failed, and what to change.\n\nWe’re already working with Blaxel and a decacorn.\n\n**Demo video:**\\\n\n\n**Why I’m working on this**\\\nBefore Scope, I did interpretability research on closed-source models at Princeton, then worked as an ML engineer on GEO / AEO. I kept seeing the same thing: these systems were starting to shape product discovery and product usage in real ways, but for companies, the process was still mostly a black box. I wanted to build something that makes that behavior visible and useful to the teams trying to fix it.\n\n**Ask**\n\n* If you’re building a product that can be used by an agent, an API, an infra product, a CLI, or an MCP server, I’d be happy to run Scope on your product and send you what we find.\n* If you know founders, product teams, DevRel, or growth folks thinking about this, feel free to send them my way.\n* You can check us out at[ ](http://tryscope.app/)[tryscope.app](http://tryscope.app) or reach out to me directly at [anand@tryscope.app](mailto:anand@tryscope.app).", "url": "https://www.ycombinator.com/launches/QK8-scope-the-agent-experience-platform", "votes": 10, "created_at": "2026-05-11T16:17:37.856Z" } ] }, { "id": 31359, "name": "Twolabs", "slug": "twolabs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6140e69d64bb482f52d28db6644ebb4a4c700ef.png", "website": "https://twolabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We build verifiable reinforcement-learning environments, evaluations, and proprietary training datasets to improve frontier AI models and robot policies.\r\n\r\nWe focus on complex, underexplored domains like PCB and chip design, embedded systems, robotics, and specialized coding environments, where high-quality training data is scarce and existing models fall short.\r\n\r\nOur long-term goal is to develop self-improving training infrastructure that can autonomously generate increasingly challenging tasks, evaluate performance, and continuously advance model capabilities toward recursive self-improvement.", "one_liner": "RL environments for underexplored domains.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779755220, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/twolabs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/twolabs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/twolabsai", "x_url": "https://x.com/twolabsai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f6140e69d64bb482f52d28db6644ebb4a4c700ef.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/63ed0b28129d2701e0f24516537dca2b2befabe9.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ac9409276a8d3f419d504d97a1983067bea7eb19.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2115411, "full_name": "Sardor Rahmatulloev", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Twolabs. Previously at Meta Superintelligence Labs, combat robots at Cornell, and built humanoid robots.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sardor-rahmatulloev", "x_url": "https://x.com/bysardr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1546aff34234f33a2ffe9cb98cf054ac86d57c7e.jpg" }, { "user_id": 2317491, "full_name": "Danyal Ahmad", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO of Twolabs. Former Salesforce MTS with an MS in AI from Georgia Tech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danyalahmad1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3fb2e8e7fe3d5fd607cf158c562444cfce65d5c2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101964, "title": "Twolabs - Humanoid robots for caregiving", "tagline": "Socially intelligent humanoids to assist the elderly.", "body": "**TL;DR -**\n\n[Twolabs](https://www.twolabs.ai/) builds humanoid robots for caregiving.\n\nOur robots will assist at nursing homes and senior living centers to take care of the elderly, starting with feeding, dressing, medication, daily tasks, and companionship.\n\nWe have our first robot design Tobi, are actively training VLAs, and building the social intelligence layer. Check out our [launch video](https://youtu.be/70T6AzTqIHc?si=CwZwf999yWGGNFk3).\n\n**What we do**\n\nTwolabs builds semi-humanoid robots for nursing homes and senior living communities. We're building the robot to achieve the following goals for the elderly:\n\n* **Everyday help.** Feeding, dressing, medication reminders, fetching objects, the daily physical work of getting through a day.\n* **Mobility support.** A stabilization aid so residents can walk safely, plus wayfinding around the facility.\n* **Companionship.** Conversation, presence, real social support, so a resident isn't alone all day.\n\nWe build the full stack in-house, the robot hardware and all the AI that makes it socially capable. Most of robotics right now is chasing warehouse manipulation, moving boxes and folding laundry. We think the harder and more important problem is robots and people working closely together.\n\n![uploaded image](/media/?type=post&id=101964&key=user_uploads/2115411/ee3141ab-259b-402a-8ee5-5e10b8ce37fd)\n\n**The backstory**\n\nI'm [Sardor](https://www.linkedin.com/in/sardor-rahmatulloev). I was born in Samarkand, Uzbekistan, moved to the US at six, and studied CS at Cornell. At Cornell I led a 40+ engineer team building autonomous combat robots. We were ranked top 5% nationally; most of my team went on to defense tech and semiconductors. My faculty advisor was Professor Tapo Bhattacharjee, who runs one of the leading caregiving robotics labs in the country. After Cornell I joined Meta Superintelligence Labs at 23 years old, working on GPU optimization, foundation model training, and AI infra. I left to start Twolabs. (I also got to be the first Uzbek founder to get into YC.)\n\n[Danyal Ahmad](https://www.linkedin.com/in/danyalahmad1/) is my co-founder, and we have known each other for over nine years, since high school. We interned together at Salesforce in 2024 and have built a lot of products together since. Danyal has an MS in AI from Georgia Tech, and fine-tuned video models at Salesforce.\n\nWe started Twolabs because our grandparents face a lot of health conditions as they grow older, and we wanted to build a robot that can assist them in their daily lives. The need is everywhere: the US is short hundreds of thousands of caregivers and the gap widens every year as the population ages. A caregiver costs a facility around $60K/year, turnover is brutal, and the work is physically and emotionally exhausting. Meanwhile the people who need help, getting out of bed, eating, not being alone all day, don't get enough of it. A robot doesn't replace caregivers. It takes the repetitive physical load off them so one caregiver can do more for more residents, and residents get help when they actually need it.\n\n**Our bet**\n\nMost robotics companies fall into one of two camps:\n\n* **Task robots** that can do physical work but can't relate to a person.\n* **Social robots** that can hold a conversation but can't actually do anything.\n\nEach succeeds at one half of the problem. But we think a truly helpful robot has to handle both, completing the physical task and engaging with the person in front of it. Too many humanoids are optimizing for task completion alone. We're betting the robots that actually help people will need to be socially intelligent to do it.\n\nThe other half of our bet is how robots are built. Companies have to be vertically integrated to win in robotics right now. We build the hardware and the AI together, because at this stage of Physical AI the models need to be specific, not general-purpose.\n\n**Where we are**\n\nPrototype design completed and our AI stack in active development. We're advised by Professor Zackory Erickson at Carnegie Mellon, whose research is at the leading edge of assistive robotics.\n\n![uploaded image](/media/?type=post&id=101964&key=user_uploads/2115411/551aef43-2a9c-4786-831c-ea4c32f77551)\n\n**Our asks**\n\n1. **Engineers and research scientists.** If you or someone you know is proficient in VLA research, reinforcement learning, or robotics foundation models, we're hiring AI engineers and research scientists.\n2. **Investors.** Investors in robotics, humanoids, healthcare, or hard tech, especially anyone who's been close to elder care.\n\nContact us directly at [sardor@twolabs.ai](mailto:sardor@twolabs.ai) and [danyal@twolabs.ai](mailto:danyal@twolabs.ai). And check out our website at [twolabs.ai](http://twolabs.ai).", "url": "https://www.ycombinator.com/launches/QWa-twolabs-humanoid-robots-for-caregiving", "votes": 8, "created_at": "2026-05-26T14:52:49.982Z" } ] }, { "id": 31360, "name": "LightSprint", "slug": "lightsprint", "former_names": [ "Lightsprint" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c43e010268551eab76be0368766c6aa0da142440.png", "website": "https://lightsprint.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lightsprint is a collaborative software factory for product teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably.\r\n\r\nThe company is founded by Ben Ong, an AI investor who previously scaled AI products at SEA Group (NYSE: SE) and Temasek ($300B fund), Benedict Chan who was VP Engineering at Chainlink and CTO at BitGo (NYSE:BTGO), and Heng Hong Lee who built Facebook Messenger in 2013 and was Director of Engineering at Fazz (YC S17).", "one_liner": "Software factory for product teams", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1776537521, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Product changes (a copy tweak, a pricing page update, a new business logic update) often wait behind an engineering sprint. The PM files a ticket. Follows up in standup. Two weeks later, it ships.\r\n\r\nCoding agents like Cursor and Claude Code made engineers 10x faster, but that speed never reached the rest of the product team. The PM still files a ticket and waits. The tools pitched at \"non-technical builders\" - Lovable, Replit - only spin up new prototypes from scratch. None of them touch the product you actually run.\r\n\r\nEach of us hit this from a different side. Ben saw this bottleneck from the investor seat through his portfolio companies and during his time at SEA group as a PM. Heng Hong saw it from inside engineering: engineer time burned on changes anyone should be able to make. Benedict saw it from infrastructure: the plumbing to let non-engineers ship safely didn't exist yet." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Every person at a company will be able to ship product changes, not just engineers. The barrier between having an idea and shipping it disappears.   \r\n\r\nPMs won't file tickets. Designers won't hand off mockups and wait. Founders won't choose between learning to code or hiring an engineer for a copy change. Engineering backlogs will shrink from bottleneck to review queue. Review comments get aggregated and fed back to the agent, which self-heals before an engineer steps in.\r\n\r\nEngineers will focus on architecture, infrastructure, and the hard problems - while everyone else ships the changes they're closest to the customer to make. Software development becomes a team sport. We think this is as big a shift as when spreadsheets let non-finance people work with data, or when Canva let non-designers create graphics. Product agents will do the same for software." } ], "url": "https://www.ycombinator.com/companies/lightsprint", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lightsprint.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lightsprint", "x_url": "https://x.com/lightsprintai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c43e010268551eab76be0368766c6aa0da142440.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2a6ac21be9a0d5c948916f5c23e1cee8bf8d9dc3.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/220389b896236a9afdf840c4830621f7e250e198.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 2961528, "full_name": "Ben Ong", "title": "Founder/CEO", "founder_bio": "Founder at Lightsprint (YC P26). Ex-VC at January Capital and venture builder at Temasek's venture studio (300B fund). Scaled products in SE group (NYSE: SE, Southeast Asia's unicorn). Prev data scientist at Cheetah Digital. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benj-ong/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f9504a2d06186d481daef0c3491d373cef56884.jpg" }, { "user_id": 172062, "full_name": "Benedict Chan", "title": "Founder", "founder_bio": "Founder at Lightsprint, an AI-native loop for building products: decide → spec → ship → learn → repeat. \nPast: Engineering leadership — CTO @ BitGo (NYSE: BTGO), Head of Eng @ Chainlink, SDE2 @ Microsoft", "is_active": true, "linkedin_url": "https://linkedin.com/in/bencxr", "x_url": "https://x.com/bencxr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f202fd3383b00b0fea65fc4ed9fc73f64fbda558.jpg" }, { "user_id": 282313, "full_name": "Heng Hong Lee", "title": "Founder", "founder_bio": "Founder at Lightsprint (YC P26). Previously Principal Engineer at HQ.xyz and Head of Engineering at Xweave. Founded Tempest, a custodial Lightning wallet. Led engineering at FAZZ Financial Group for 4 years. Senior Software Engineer at Facebook for 5 years. BA in Electrical Engineering from National University of Singapore.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henghonglee", "x_url": "https://x.com/henghonglee", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd2233cae85b7b7584eab1e12859b7485f7a3ef1.jpg" } ], "jobs": [ { "id": 100137, "title": "Product Marketing / GTM Engineer", "url": "https://www.ycombinator.com/companies/lightsprint/jobs/f42QPiX-product-marketing-gtm-engineer", "location": "Remote", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $180K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 107964, "title": "Founding AE", "url": "https://www.ycombinator.com/companies/lightsprint/jobs/rP7UsD7-founding-ae", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $180K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108323, "title": "Head of Developer Relations", "url": "https://www.ycombinator.com/companies/lightsprint/jobs/kTQN5M4-head-of-developer-relations", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$130K - $180K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 109310, "title": "Motion Graphics Designer & Videographer", "url": "https://www.ycombinator.com/companies/lightsprint/jobs/oYNUzBU-motion-graphics-designer-videographer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112655, "title": "Senior Software Engineer", "url": "https://www.ycombinator.com/companies/lightsprint/jobs/XUrAD20-senior-software-engineer", "location": "San Francisco, CA, US / Remote (San Francisco, CA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "This Y Combinator startup raised $6.1 million to let product managers and designers ship code. See its pitch deck.", "url": "https://africa.businessinsider.com/news/this-y-combinator-startup-raised-dollar61-million-to-let-product-managers-and/x2hx28k", "date": "Oct 13, 2026" }, { "title": "The 11 standout startups from YC's Demo Day, according to VCs | TechCrunch", "url": "https://techcrunch.com/2026/06/18/the-11-standout-startups-from-ycs-demo-day-according-to-vcs/", "date": "Jun 18, 2026" } ], "launches": [ { "id": 101734, "title": "Lightsprint - The Collaborative Product Development Platform", "tagline": "Lightsprint lets teams plan visually, preview live and ship with an army of cloud agents", "body": "**tldr:** We are building a collaborative platform for software teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably.\n\n\n\n**The problem**\\\nSoftware is built by teams. But AI coding agents run alone on one developer’s IDE or terminal.\\\nThe result: teammates are out of sync, planning stays buried in docs, and reviewers approve changes with little context. Execution has never been faster. But coordination has never been more painful. \\\n\\\nThe SDLC was built around coding. Coding has changed, and the SDLC must be updated.\\\n\\\n**The solution**\\\nLightsprint makes agentic software development collaborative. It completes the entire AI loop - not just code gen, but the full cycle from requirements to shipped code, with your whole team in the game.\n\n1. **Visual Plan Mode**: Write a simple requirement. Lightsprint breaks it into a structured plan with tasks, dependencies, and visual options to choose from. Your whole team collaborates with the agent on the plan: see it, annotate it, and approve it. No more blind execution.\n2. **Infinite Parallel Cloud Agents**: Hit execute and Lightsprint spins up multiple agents working your codebase simultaneously. One’s building the frontend component, another is building a dashboard, a third is writing tests. Anyone can steer the agent. What takes a team days gets compressed into hours.\n3. **PR Preview Environments**: Every PR automatically gets a live preview URL. Not a diff. A running instance of the code. Your designer clicks through it and says “yes, ship it” or “change the layout” without reading a single line of code. Everyone on your team ships code now.\n\nWe’ve been using Lightsprint to build Lightsprint, and it has dramatically increased our engineering velocity. Lightsprint is also mobile-friendly so you can fire tasks from wherever you are. That has been a game-changer for us!\n\n\\\n**About Us**\\\nThe team is made of Ben Chan who was the previous CTO of Bitgo (NYSE: BTGO) and has led engineering teams of 300; Heng Hong, an engineering leader from Meta who built FB messenger; and Ben Ong, an ex VC who was part of the venture building arm at Temasek (300B AUM fund) and led products at SEA group (NYSE: SE). \n\n\\\n**Ask**\\\nIf you're shipping with AI agents and want to improve coordination, accelerate feature development, or let non-technical teammates help build — we'd love to chat. Book a demo on ", "url": "https://www.ycombinator.com/launches/QSs-lightsprint-the-collaborative-product-development-platform", "votes": 54, "created_at": "2026-05-21T20:02:41.242Z" } ] }, { "id": 31362, "name": "Discovered Materials", "slug": "discovered-materials", "former_names": [ "MatForge", "Matforge", "matforge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8369f21b7293d92e30b956a07f47bda16f550d10.png", "website": "https://discoveredmaterials.com", "all_locations": "San Francisco, CA, USA", "long_description": "We use AI to discover new materials for the semiconductor industry - specifically datacenters and fabs. Finding novel materials today takes 10+ years of lab work. We aim to compress that timeline to months, using a swarm of AI agents.\r\n\r\nAkash completed his PhD at Stanford on material discovery for semiconductors. The materials he discovered for nanoscale interconnects have been adopted into the roadmaps of Intel and TSMC. Advaith was the founding applied scientist at Persona AI (acquired by Luma Labs), where he built long horizon autonomous agents for major telecom and crypto companies.\r\n\r\nPower consumption and heat release from AI chips is doubling every year. The semiconductor industry needs new materials to keep this exponential going - Discovered Materials will help find them. ", "one_liner": "AI scientists to discover materials for the semiconductor industry.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials", "launched_at": 1773874719, "tags": [ "Semiconductors", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/discovered-materials", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/discovered-materials.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/discoveredmaterials/", "x_url": "https://x.com/discoveredmat", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8369f21b7293d92e30b956a07f47bda16f550d10.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": 1591131, "full_name": "Advaith Sridhar", "title": "Founder/CTO", "founder_bio": "Founder at Discovered Materials. Alma Matter: CMU, IIT-Madras", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/advaith-sridhar/", "x_url": "https://x.com/advaith_sridhar", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2a4eab0b5bf3bce54ab8ffd698f21f9a70b5b01.jpg" }, { "user_id": 3366857, "full_name": "Akash Ramdas", "title": "Co-Founder", "founder_bio": "Discovering the next silicon using AI scientists. Co-founder at Discovered Materials\nMS, PhD, Post-Doc at Stanford - Material Science and Engineering", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akashramdas/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6951fc1e2371c91e2a13ef33d4a33fbfe2947fb.jpg" } ], "jobs": [ { "id": 103669, "title": "Founding Equipment Engineer", "url": "https://www.ycombinator.com/companies/discovered-materials/jobs/0mX5dLu-founding-equipment-engineer", "location": "Mountain View, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Chemical engineering", "salary_range": "$150K - $250K", "equity_range": "1.00% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 99882, "title": "Matforge - AI Scientists to discover new semiconductor materials", "tagline": "Discovering 10x better materials for use in next generation electronic chips", "body": "# Accelerating scientific discovery\n\n**Tl:dr** We’re building AI scientists to discover new materials for the semiconductor industry. If you know **Packaging/thermal engineers** at chip companies like NVIDIA, AMD, Groq, Cerebras, Google, Intel, Samsung, TSMC etc, please put us in touch! \n\n—----------\n\nDiscovering a material with commercial viability is usually a story of persistence.\n\nThe incandescent lightbulb filament came not from a single guess, but from Edison trying **6000+** candidate materials over 20 years. The first transistor ever made in Bell labs was famously **not with silicon**, but germanium.\n\n![uploaded image](/media/?type=post&id=99882&key=user_uploads/3366857/c84e2115-5738-4845-a320-4825fc7ae0c8)\n\n_(left) The first transistor, made from Germanium. (right) some materials Edison tried as lightbulb filaments_\n\nThe same holds true in the semiconductor industry. We really need better materials for our chips, but finding them takes 10+ years of lab work.\n\nAt Matforge, we build AI agents to **accelerate** this process of finding new materials for the semiconductor industry. Our agents work across the entire materials discovery process - coming up with new candidates, synthesizing them and testing them in **physical labs.**\n\n![uploaded image](/media/?type=post&id=99882&key=user_uploads/3366857/fa73a824-db61-4271-8160-39c58b55b6d3)\n\n**The founders -** Advaith has a Masters in AI from **Carnegie Mellon**, and was most recently a **research engineer** at Luma Labs, building agent harnesses and working on frontier models. Akash has a Masters, PhD and PostDoc from **Stanford University** in **materials discovery** for the semiconductor industry. We’ve known each for the last **11 years**, and have even written a book together!\n\nBreakthrough materials will still take many, many experiments. But for the first time, a small team might just have the tools to speed up this search and win.", "url": "https://www.ycombinator.com/launches/Pz0-matforge-ai-scientists-to-discover-new-semiconductor-materials", "votes": 25, "created_at": "2026-04-21T16:04:21.392Z" } ] }, { "id": 31363, "name": "Saffron", "slug": "saffron", "former_names": [ "Saffron AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3143a0fc23ce4251d146cce9ebb5799fc664317.png", "website": "https://www.trysaffron.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Saffron allows companies to quickly evaluate how well software engineers use AI to code. \r\n\r\nThe way engineers write code has fundamentally changed, but the way companies evaluate them hasn't. Saffron gives teams full visibility into how candidates use AI agents to build, debug, and ship real features on an actual codebase. \r\n\r\nSaffron was founded by Robert Chondro (formerly MIT and Jane Street), Jerry Yao (Stanford and Jane Street), and Kazuma Choji (Harvey Mudd, published in NeurIPS and ICML), and is backed by Y Combinator (P26) and Afore Capital. ", "one_liner": "Helping your company find 10x engineers. ", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1773810768, "tags": [ "SaaS", "Human Resources", "HR Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/saffron", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/saffron.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trysaffron/", "x_url": "https://x.com/trysaffron", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3143a0fc23ce4251d146cce9ebb5799fc664317.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": 2767627, "full_name": "Robert Chondro", "title": "Founder/CEO", "founder_bio": "CEO\nStudied math & computer science @ MIT\nBuilding AI-native technical assessments to vet/hire SWEs", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertchondro", "x_url": "https://x.com/roblukan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a852f67b4b49b22bc856ff37d0c3b5c6eda18619.jpg" }, { "user_id": 3347959, "full_name": "Kazuma Choji", "title": "Founder/CTO", "founder_bio": "Building software to test how well swe's code with ai\n_______\npreviously:\ncs/math @ Harvey Mudd\nHigh school NeurIPS, ICML, and ICCV author", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kazuma-choji/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6588d394702b4a2ac5321cd8b1c50fdd462fb49a.jpg" }, { "user_id": 2703529, "full_name": "Jerry Yao", "title": "Founder/CPO", "founder_bio": "Building AI-native technical assessments\nPrev. CS + math @ Stanford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mjyao/", "x_url": "https://x.com/_mjyao", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1a8027b3037f5287073257c591b4eb937e97d502.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100291, "title": "Saffron: Find Your Next 10x Engineer", "tagline": "Companies use Saffron to evaluate how well software engineers use AI to code.", "body": "**TL;DR:** Saffron gives candidates a real codebase and ability to use any AI tooling they'd use on the job. We capture every prompt, diff, and decision in a sandboxed environment that gets scored automatically. Teams can now get structured metrics on how candidates actually build, not just whether the final output compiles.\n\nBook an onboarding call here: [**https://trysaffron.ai**](https://trysaffron.ai)\n\n**Our Launch Video**\n\n\n\n---\n\n**The Problem**\n\nAI coding tools have finally gotten good enough to actually change how engineers work. But the way companies evaluate SWEs hasn't changed at all.\n\nNow, interviews are testing the wrong thing and candidates are passing every round of your hiring process, before showing up on the job unable to build a single feature without AI doing the thinking for them.\n\nOn the flip side, companies are missing out on engineers who actually know how to use AI to be ten times more efficient.\n\nWe know because we've been on both sides. As candidates, we realized how how much potential there was to become 10x with AI. As founders, we’ve heard the same story from dozens of teams: \"They crushed the interview. Two weeks in, they couldn't ship anything independently.\"\n\n---\n\n**Our Approach**\n\nWe’ve built an assessment that embraces AI and measures how efficient an engineer is. Candidates get a real codebase, AI tools they’d actually use on the job, and a task that simulates engineering work. We capture the full process and evaluate it automatically.\n\n---\n\n**⚙️ How It Works**\n\n**Step 1: Create an assessment in under 5 minutes.** Point us at your GitHub repo or choose a question from our bank, configure AI agents, and invite candidates.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F8e7827fe-4250-4411-b495-f0b5d2dbbd18&variant=large)\n\n**Step 2: Candidates build in a fully managed environment.** They get an online IDE that they can customize, a timer, and a real task. No setup required on their end. After coding, they answer debrief questions about their own implementation — and we verify their answers.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F9e27fefd-a405-4ae1-859c-5b83c72af8e0&variant=large)\n\n**Step 3: Review results without reading a single line of code.** AI review agents score the submission across dimensions you configure with specific evidence from the codebase. We show you detailed metrics like prompts, AI reliance percentage, or tool calling, and give a deterministic score on how well the candidate did.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=100291&key=user_uploads%2F2767627%2F3645c5c3-534f-4a40-a8d9-d662bd13a0e9&variant=large)\n\n---\n\n**Why Us**\n\nWe’re Robert, Jerry, and Kazuma. We met in high school, started building together, and have been close friends ever since. Robert studied at MIT and was at Jane Street. Jerry studied at Stanford and was also at Jane Street. Kazuma studied at Harvey Mudd and was published in NeurIPS and ICML.\n\nAll three of us were CS students recruiting for SWE jobs the entirety of our first semester of college. And after noticing how much our coding workflow had changed with the introduction of better and better models, we knew that assessments had to catch up.\n\n---\n\n**Our Ask**\n\n* **Hiring SWEs?** We'll set up your first assessment for free, configure it to your codebase, and work with you 1:1 to build out whatever you need. We're early and hungry. Book a call: [**https://trysaffron.ai**](https://trysaffron.ai)\n* **Know an engineering lead, head of talent, or recruiter** who's frustrated with their current process? We'd love an intro.\n\nCan't wait to hear your feedback!\n\n\\-Robert, Jerry, and Kazuma", "url": "https://www.ycombinator.com/launches/Q5b-saffron-find-your-next-10x-engineer", "votes": 33, "created_at": "2026-04-27T18:29:36.573Z" } ] }, { "id": 31364, "name": "Chert", "slug": "chert", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dbcfda02066d2a118790619245d76bd15d26183.png", "website": "https://www.trychert.com/", "all_locations": "New York City, NY, USA", "long_description": "Chert provides the infrastructure for businesses to automate conversations over iMessage. We’re already working with B2C startups, customer experience teams, and sales teams to reach end users through trusted and conversational messaging. ", "one_liner": "iMessage infrastructure for business", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777155515, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/chert", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/chert.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trychert/", "x_url": "https://x.com/Cherthq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7dbcfda02066d2a118790619245d76bd15d26183.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4c4c2a2521e23b3d41bdf6d61180168f43df3df5.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2953142, "full_name": "Gary Gao", "title": "Founder/CEO", "founder_bio": "Hi, I'm Gary, co-founder and CEO at Chert. We're providing the infrastructure for businesses to build conversational interfaces in iMessage. \n\nBefore moving to SF last month, I studied CS and Business at Penn and spent the past year researching ML model architectures, designing neuromorphic chips, and building projects with my co-founder Ian. Outside of this, I like flying planes, running marathons, and reading! ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garygao333/", "x_url": "https://x.com/GaryGao891219", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a359c885dbbeb0c80ec74f02f1b4571c51e20958.jpg" }, { "user_id": 2929634, "full_name": "Ian Fong", "title": "Founder/CTO", "founder_bio": "I study Mathematics at NYU and previously worked on algorithm research at Courant. Along the way, I’ve won 8 hackathons, including MIT, Harvard, Penn, and Princeton.\n\nfun fact: I've lived in a total of 16 cities in 20 years of my life.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ianyfong", "x_url": "https://x.com/ianyfong", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dc2361805e790ab05e61222605ef6497542b411.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100959, "title": "Chert – iMessage infrastructure for trusted communication at scale", "tagline": "Chert provides the infrastructure for teams to send, receive, and automate conversations over iMessage using APIs.", "body": "# \\*\\*\\*\\*\n\n**TL;DR**: Chert provides the infrastructure for teams to send, receive, and automate conversations over iMessage using APIs. We’re already working with B2C startups, customer experience teams, and sales teams to reach end users through trusted and conversational messaging.\n\n**Ask**: If you’re interested in integrating iMessage into your customer conversations, or know someone who is, we’d love to talk:  \n\n\n\n**The Problem**\n\niMessage is one of the most trusted and widely used messaging channels in the US. People use it every day to talk with friends, book appointments, coordinate plans, and have conversations. \n\nBut for businesses, iMessage is still very difficult to automate programmatically. \n\nIf a business wants to build on iMessage today, they would have to set up phone lines, manage devices, monitor line health, and connect everything back into their existing tools. \n\n**Our Solution**\n\nChert lets teams build agents that can send and receive iMessages directly through our API.\n\nUsing iMessage as the communication channel has a few major advantages:\n\n1. **Higher trust and visibility**: while green-bubble SMS and RCS messages get ignored, people open and read blue-bubble iMessages \n2. **More expressive conversations**: Typing indicators, reactions, stickers, attachments, images, and videos make conversations feel more human than standard SMS or email.\n3. **Better response loops**: Because iMessage is a channel users already check constantly, teams can create faster and more continuous conversations with prospects, customers, and users. \n\nWe can also integrate natively into calendars (Calendly, [Cal.com](http://Cal.com), etc), CRMs (Hubspot, Salesforce, etc), and internal tools to add logging and structure into conversations.\n\n**Our ask**: \n\n1. If you’re building a B2C startup, customer experience team, or AI agent that could benefit from iMessage as a communication channel, we’d love to talk:  \n2. If you have other use cases for iMessage that you think would be helpful, we’d love to hear them: \n\nVisit us at \n\nContact us at [contact@trychert.com](mailto:contact@trychert.com)", "url": "https://www.ycombinator.com/launches/QGN-chert-imessage-infrastructure-for-trusted-communication-at-scale", "votes": 44, "created_at": "2026-05-07T22:21:41.432Z" } ] }, { "id": 31366, "name": "Nine Fives", "slug": "nine-fives", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.png", "website": "https://ninefives.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Nine Fives produces modern radio frequency test equipment and solutions to disrupt the $130B test equipment industry. By combining modern electronics, AI ready test automation, and strategic supply chains, we’re equipping our customers to cut their time to market in half.", "one_liner": "RF test equipment for next-gen spacecraft, drones, and cellphones", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775260036, "tags": [ "Hard Tech", "Aerospace", "Telecommunications" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nine-fives", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/nine-fives.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nine-fives/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/12cace5da5d5e5852e19a386d33613f3f8222281.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": 2413649, "full_name": "Noah Levy", "title": "Founder/CEO", "founder_bio": "Calibrated largest phased array in SpaceX history, designed Starship primary RF hardware, worked on radar altimeter for Falcon 9 and S-Band Transceiver for Dragon 2 capsule. I am not a fan of modern RF test equipment from legacy vendors.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noahmslevy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4824d2f4b270789c6f137b5e6d9e0e7fb040ee1a.jpg" }, { "user_id": 3423274, "full_name": "Andrew Kurtz", "title": "Founder", "founder_bio": "I spent the last 9 years as a mechanical engineer working on a wide variety of aerospace products. Now building better test equipment with Nine Fives", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-e-kurtz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/396d9cf39bf31b1e84877f58de6d522a30909c63.jpg" } ], "jobs": [ { "id": 97341, "title": "Founding Electrical Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/hDQM135-founding-electrical-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python", "Linux", "Embedded Linux", "Firmware", "Prototyping", "PCB design" ] }, { "id": 99344, "title": "Founding RF Engineer", "url": "https://www.ycombinator.com/companies/nine-fives/jobs/dkS9aeZ-founding-rf-engineer", "location": "San Mateo, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $200K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Git", "Go", "MATLAB", "Python", "Embedded Linux", "Firmware", "PCB design", "FPGAs", "Altium" ] } ], "news": [], "launches": [ { "id": 101602, "title": "Nine Fives - Simple, Networked, Driverless RF Test Equipment", "tagline": "Test hardware for companies that can’t wait for their test equipment to catch up.", "body": "**TL;DR: Nine Fives makes test equipment for manufacturers of radio devices in cellphones, drones, or satellites.**\n\n[https://www.youtube.com/watch?v=7vtMt6-0SvY](https://www.youtube.com/watch?v=7vtMt6-0SvY%3C/video%3E)\n\n**Problem:** You are a hardware engineer holding up a billion dollar satellite constellation or slipping a cellphone release date because the legacy test equipment in your production line was designed around the January 1997 revision of the USB Human Interface Device specification and the firmware hasn’t been updated since then.\n\nYour AI agent is blissfully unaware of how this thing works because the “documentation” is hidden in a PDF on a password protected FTP server. After the legacy vendor left your email on read for a week they gave you access and sent you a [VB.NET](http://VB.NET) script that they think should work. You ran it and now all 8 of that vendor’s devices in your rack have tried to enumerate as “COM11” in device manager. Now you have 8 broken pieces of equipment instead of just 1!\n\n**Solution:** We’re Noah Levy and Andrew Kurtz and we are building Nine Fives. Together we have spent a decade at SpaceX designing radio frequency hardware and test systems for multi-million dollar products. Our equipment is driverless, touchscreen enabled, and uses a single, machine-readable, API with both REST and SCPI endpoints.\n\nEvery module we build works as a standalone product, but if you use our rack-mountable data and power backplane then you can take advantage of our NineVue web-app for generating easy-to-maintain, machine-readable rack configuration and our [skill.md](http://skill.md) so that your AI agent can finally understand your test system and write your test software. \n\n**Get off the critical path and reduce your production readiness timeline from months to minutes.**\n\n![uploaded image](/media/?type=post&id=101602&key=user_uploads/2413649/0e5ea814-ed4c-4e37-be4c-2ea0f93f59a5)\n\n", "url": "https://www.ycombinator.com/launches/QQk-nine-fives-simple-networked-driverless-rf-test-equipment", "votes": 12, "created_at": "2026-05-21T02:28:09.859Z" } ] }, { "id": 31367, "name": "Andustry", "slug": "andustry", "former_names": [ "Andustry", "Standard Gaussian" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cad618041deb29b222958392d35d6e8a7e0d845.png", "website": "http://andustry.com/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1773916364, "tags": [ "Trading" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/andustry", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/andustry.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9cad618041deb29b222958392d35d6e8a7e0d845.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": 2027738, "full_name": "Het Dave", "title": "Founder/CEO", "founder_bio": "I love working at the intersection of {CS, math, finance}.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hetdave", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8a8b1d05d3d5d0d9f52e4509c33739a9c558da1c.jpg" }, { "user_id": 2239753, "full_name": "Johann Stürken", "title": "Founder", "founder_bio": "Johann comes from a family business importing goods for 2 generations. He's a mechanical engineer who has done research at Cambridge and won a prize at NASA designing an aircraft.\n\nHe worked at Airbus on autonomous flight and built the business team at a startup building electric aircraft. At McKinsey he worked with airlines and defense companies.\n\nJohann is a licensed pilot.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/johannstuerken", "x_url": "https://x.com/JStuerken", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07d7b59b5f21f6954b28f941b13fdefdc911e11d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31369, "name": "InLoop Robotics", "slug": "inloop-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.png", "website": "https://inloop-robotics.com/", "all_locations": "BY, Germany", "long_description": "We are building AI-native fulfillment powered by robotics.\r\nWarehouses without human labor that get better, faster, and cheaper with every order.\r\n\r\nMost robotics companies wait until their system is perfect before deploying. We don't. We ship imperfect policies into real warehouses, detect failures in real time, recover automatically when we can, and bring in a remote human operator when we can't.\r\n\r\nEvery failure becomes training data. Every intervention makes the system better. The result is a fulfillment system that continuously learns from production.", "one_liner": "Robotic arms that pick and pack your orders.", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774801488, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/inloop-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/inloop-robotics.json", "year_founded": 2026, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/inlooprobotics", "x_url": "https://x.com/InLoopRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32f586c0db7df7371426565793ae565ba0423774.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": 2674432, "full_name": "Zakariea Sharfeddine", "title": "Founder/CEO", "founder_bio": "Building the future of embodied AI with an ML background at Bosch and BMW.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zakariea-sharfeddine", "x_url": "https://x.com/Zakariea_sh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ea8ba4ccb057236c1cfeb16157bee2771deadf30.jpg" }, { "user_id": 3333534, "full_name": "Stepan Feduniak", "title": "Founder/CTO", "founder_bio": "Did robot learning research at KIT and TUM at 18 on VLA models and reinforcement learning. Previously: olympiad mathematics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stepan-feduniak-b33045276/", "x_url": "https://x.com/FeduniakS", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fd70a752260339c439db7e420391781ff0c980b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101547, "title": "InLoop Robotics - Staff your warehouse with robots today", "tagline": "We deploy robotic employees that pack, kit, and fulfill - billed monthly, no capex.", "body": "**TL;DR**\n\n**InLoop deploys robot employees you can hire by the month.** Our intelligent robotic arms pack, kit, and fulfill in warehouses, fulfillment centers, and factories. **We handle everything** else. Paid pilots **live in customer warehouses today**: **300+ picks/hour, generalizing across hundreds of SKUs**, **replacing** $100k+ integration projects per station.\\\n\\\n**_Ask:_** If you run ops at a warehouse, fulfillment center, or factory - what's the one repetitive task you wish a robot could just _do_ tomorrow? Tell us. We'll show you how: [https://www.inloop-robotics.com](https://www.inloop-robotics.com/)\n\nOur launch video:\\\n\\\n\\\n**Problem**\n\n**Repetitive manual work in warehouses is the most expensive labor problem nobody has solved.**\n\n* Ops leaders hire more than they operate: Warehouse turnover runs \\~49% annually and exceeds 100% at peak-volume sites; peak season can't be staffed at any price.\n* Existing automation breaks the moment your catalog shifts: traditional systems cost $200k–$1M+ upfront and lock you to a single set of SKUs\n* The math doesn't work: ops leaders spend more time hiring than running the line, and most fulfillment still runs on humans doing the same six motions, 8 hours a day\n* AI hasn't reached the physical world yet: software ate every digital workflow; the warehouse floor is still humans + conveyor belts\n\n**Solution**\n\n**You pick a task - packing, kitting, induction, palletizing. We deploy a robotic arm trained on it within weeks. It learns continuously. You pay a flat monthly fee.**\n\n* **One policy handles thousands of SKUs.**\n* **Human-in-the-loop teleop:** when the robot hits an edge case, a remote operator takes over control and your line never stops\n* **Adapting to individual requirements: Quality, Speed and Reliability**\n* **Zero capex, zero integration risk:** we ship it, run it, retrain it. Scale up or down with demand\n\n ![uploaded image](/media/?type=post&id=101547&key=user_uploads/2650485/6ce2b445-5f6a-4371-876c-e1251a0d4caa)\n\n \\\n **This is the team building the next great robotics company.** Customers, investors, future teammates - if you want to be in, let's talk. → **join the Loop!**", "url": "https://www.ycombinator.com/launches/QPr-inloop-robotics-staff-your-warehouse-with-robots-today", "votes": 9, "created_at": "2026-05-19T14:27:33.732Z" } ] }, { "id": 31370, "name": "Dayjob", "slug": "dayjob", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b05d200707537271b32356fc9f883781eb7e5f4a.png", "website": "https://www.getdayjob.ai", "all_locations": "London, England, United Kingdom", "long_description": "Dayjob does AI Scheduling for Short Haul Trucks. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.", "one_liner": "AI Scheduling for Short Haul Trucks", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1775407410, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "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": "Fred and I met at Oxford 13 years ago. We've lived in five houses together and were ushers at each other's weddings. In 2022, we started building software for the waste industry after seeing how poorly existing ERPs served day-to-day operations. We spent mornings at customer depots from 6AM, watching transport planners manually drag and drop jobs into routes. Plans took over an hour to build and were often obsolete within another hour. Our top customers told us they literally cannot train planners fast enough to keep up. The cognitive load burns most planners out within 18 months. We realised the problem wasn't missing features. It was that humans were being asked to do work they physically cannot do reliably. In January 2025, we pivoted to Dayjob: autonomous AI workers that plan and execute operational decisions in real time." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We started in October 2022, building ERP and inventory software for the waste industry, generating $150K in revenue. Two hard lessons emerged: large operators wouldn't migrate ERPs regardless of product quality, and better UI didn't solve the real problem of manual decision-making at scale. In January 2025, we pivoted to Dayjob, integrating with existing ERPs instead of replacing them and deploying AI workers that perform operational work directly. We started selling the product in August 2025. ARR has grown to $653K in seven months, with top customers achieving 8%+ efficiency gains from day one." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Short haul trucking relies on humans continuously re-optimising thousands of constraints in real time: vehicle capacity, weight limits, site access windows, driver hours, and regulatory rules, all while responding to hundreds of live job changes. A single day's route plan takes 8 hours to build and is typically obsolete within an hour. Our top customers say they cannot train planners fast enough. Most burn out within 18 months. The problem is getting worse: experienced drivers who historically moved into planning roles are being replaced by office hires with no operational intuition, increasing errors and churn. ERP systems were built to digitise paperwork, not to make autonomous decisions. Operators are dependent on a role they can no longer hire or retain." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "If Dayjob succeeds, short haul trucking companies will have to use us to be profitable. We will control the pricing that they charge by having the best models for pricing, booking and scheduling in the market. You simply will not be able to be competitive without Dayjob." } ], "url": "https://www.ycombinator.com/companies/dayjob", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dayjob.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/dayjob-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b05d200707537271b32356fc9f883781eb7e5f4a.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": 923810, "full_name": "George Postlethwaite", "title": "Founder/CEO", "founder_bio": "Building Dayjob - autonomous AI agents that run transport operations in real time. Before this, I built Gaea, an ERP for e-waste recyclers. I was an early employee at Deliveroo (acq. Doordash 2025) and launched their UK grocery business, and previously led sales at Otta (LocalGlobe-backed job search platform).", "is_active": true, "linkedin_url": "https://linkedin.com/in/georgepos", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a07812c468ce2b0ab43e32218d91729c8a79a04d.jpg" }, { "user_id": 1027598, "full_name": "Fred Fooks", "title": "Founder/CTO", "founder_bio": "Building Dayjob - autonomous AI agents that run transport operations in real time. Previously built Gaea, an ERP for e-waste recyclers, from scratch. Engineering Science at Oxford. Background in AI and Data Science at Deloitte and Capgemini.", "is_active": true, "linkedin_url": "https://linkedin.com/in/frederic-fooks", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/672e6446b91e743c65620f095583212d40c755e2.jpg" } ], "jobs": [], "news": [ { "title": "VWS Partners with AI Scheduling Tool Dayjob | VWS Software Solutions", "url": "https://www.vwssoftware.com/vws-partners-with-ai-scheduling-tool-dayjob/", "date": "Jan 30, 2026" }, { "title": "How Coastal Recycling is using AI to transform operations - Coastal", "url": "https://coastaluk.co.uk/blog/using-ai-to-transform-operations/", "date": "Jan 27, 2026" } ], "launches": [ { "id": 100132, "title": "Dayjob: AI Agents for Industrial Logistics", "tagline": "Meet Dayjob, AI Scheduling for Waste Trucks", "body": "_Hey 👋 We're George and Fred, founders of Dayjob!_ \n\n**What we solved in the UK and are now solving in the US** \\\n\\\nIndustrial logistics plans are still built manually, every single morning. A transport planner sits down at 7am, spends 60 to 90 minutes dragging jobs onto trucks, and the plan is usually wrong by 10am. \n\nOur customers tell us they literally cannot hire and train planners fast enough. It’s a nightmare when one of those planners is off sick or has to go away on vacation. \n\nHumans are being asked to continuously re-optimise hundreds of constraints: vehicle capacity, weight limits, time windows, driver hours, live traffic, all in real time. It's cognitively impossible to do reliably.\n\nIf a fleet can complete just 10 more jobs a day, that's worth millions per year. The opportunity cost of bad scheduling is enormous and almost nobody in this industry has solved it.\n\n\n\n**What we've built:** Dayjob sits on top of existing ERP software. Our scheduling agent builds a full fleet schedule in about 60 seconds. The same task currently takes a human planner most of the morning.\n\nWe're live with fleets in the UK today, and currently launching in the US.\n\n**Early results:**\n\n* 5 to 10% improvement in fleet efficiency from day one\n* 50% improvement in hitting customer time slots\n* One customer saw an £800K revenue uplift in their first year\n\nWe started in waste management deliberately. It's one of the hardest planning environments in existence: high variability, tight regulatory rules, constant real-time changes. If you can solve scheduling there, you can solve it anywhere in industrial logistics.\n\n**The backstory:** Fred and I met at Oxford 13 years ago. In 2022 we started building ERP software for waste operators. We spent early mornings in depots watching planners work, rode in trucks, sat next to schedulers as they built their routes. \n\nWe pivoted to Dayjob in January 2025. We're now at $496K ARR, growing fast, and scheduling is just our first agent. We have three more covering the full operational workflow launching later this year.\n\n![uploaded image](/media/?type=post&id=100132&key=user_uploads/923810/fc61cfea-692b-4948-a438-9f85635324e2)\n\n**We'd love to connect with:** Anyone in the waste-hauling market or the broader industrial logistics market.\n\nLet’s go 🚛", "url": "https://www.ycombinator.com/launches/Q32-dayjob-ai-agents-for-industrial-logistics", "votes": 65, "created_at": "2026-04-23T13:55:19.813Z" } ] }, { "id": 31372, "name": "Trellis", "slug": "trellistech", "former_names": [ "Trellis Tech", "Trellis", "trellis" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4edc07d052fa88205fcd9e264fc066ce8d0f11f.png", "website": "https://trellistech.com", "all_locations": "San Francisco, CA, USA", "long_description": "Trellis is building toward a new hospitality platform: one that does not just help guests find homes, but actually operates them with agents. \r\n\r\nOur first wedge is short-term rental property managers, replacing their fragmented stack across guest messages, tasks, cleaners, maintenance, vendors, and owner updates with agents that run operations end-to-end. \r\n\r\nIn two months, we’ve grown to $500k ARR across 35 customers and 3000 listings, growing around 15% week over week, with one customer already running day-to-day operations with no human involved.", "one_liner": "Agents that run short-term rental operations end-to-end", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775519659, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trellistech", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/trellistech.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trellis-str/", "x_url": "", "fb_url": null, "cb_url": "https://www.linkedin.com/company/trellis-str/", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d4edc07d052fa88205fcd9e264fc066ce8d0f11f.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": 3088252, "full_name": "Lodovico Benvenuti", "title": "Founder/CEO", "founder_bio": "Hi, I’m Lodo.\n\nI believe the next decade of software belongs to systems that grow around you, not tools you adapt to. Static SaaS is dying. The future is AI-native software that learns, builds, and evolves with every customer. \n\nI’m building that future for hospitality with Trellis: an AI-native operating system that learns how each operator runs, then builds the workflows and nterfaces needed to execute the business. \n\nWe don't sell software with AI, we sell AI that builds your software", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lodovico-benvenuti-11678224a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/76068eb1afdf7783f31464f18e8ade6db8633b65.jpg" }, { "user_id": 2866294, "full_name": "Jan Sahagun", "title": "Founder/COO", "founder_bio": "Hey, I'm Jan.\nEx hockey player who turned his athlete's mindset into sales.\nIn under 2 years in STR tech I closed $2M worldwide and built an STR media platform from scratch.\n\nWe're currently building the future of short-term rentals to give property managers the last piece of software they'll ever need.\nNot another tool with AI bolted on but an AI that builds their software.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jan-sahagun-escosa?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/ad8201c4b64acf9962d89811a67eee1e806942fc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100011, "title": "Trellis: Autonomous Agents for Short Term Rentals", "tagline": "Run all your operations end to end across every tool in your stack.", "body": "Hi, we’re [Lodovico Benvenuti](https://www.linkedin.com/in/lodovico-benvenuti-11678224a/) and [Jan Sahagun](https://www.linkedin.com/in/jan-sahagun-escosa?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app), and we’re building Trellis, AI agents that run operations for short-term rental property managers.\n\nOur Launch Video: \n\n### The problem\n\nShort-term rental operations break as companies scale.\n\nAs you add listings, coordination explodes across guest messaging, cleaning, maintenance, and homeowners. Work ends up spread across 5 to 10 disconnected tools, duck-taped together by burnt-out teams, constantly firefighting issues, with information inevitably falling through the cracks.\n\nQuality drops, reviews follow, and growth stalls.\n\nThis is because managing a property is complex. Let’s say the guest calls about a broken shower. The operator has to identify the reservation in the PMS, search a separate knowledge base for context, collect photos, and create a task in another system.\n\nThen check a workforce tool for availability, reprioritize tasks, dispatch a technician, follow up with the guest, and later log costs, update accounting, and notify the homeowner. All this across 5-10 systems of record.\n\nThe core issue is simple: no software has full operation context to control operations end to end.\n\n### What we built\n\nTrellis provides AI agents that run operations across the entire stack.\n\nThe agent communicates with guests, dispatches and coordinates cleaners and maintenance, files claims and costs, and follows up until issues are fully resolved.\n\nIt connects to PMSs, messaging channels, and internal tools, but more importantly, it maintains full operational context: who the guest is, what property they’re in, what the issue is, what’s already been tried, who is available, what tasks are in progress, and what needs to happen next.\n\nInstead of passing information between tools, the agent owns the entire workflow from first message to resolution and reporting.\n\nWhen agents take over operations, execution becomes consistent and verifiable. That shifts control of the guest experience from marketplaces back to operators, who can now deliver reliable service at scale, build real brands, and own demand.\n\n### Our background\n\nBefore Trellis, Lodo built AI customer service agents for short-term rentals at Conduit (YC W24). He also scaled a property management company to \\~$2M revenue and 150+ listings. With trellis we are now running their operations with 1 person.\n\nJan spent years in the trenches of the STR industry: leading early sales at multiple AI tools for property managers, building an STR tech media platform (STR Tech Report), consulting across the space, attending 20+ industry events, and speaking with thousands of property managers along the way. That journey earned him deep trust and relationships throughout the STR world.\n\n---\n\nIf you run a property management company, we’d love to show you Trellis.\n\n![uploaded image](/media/?type=post&id=100011&key=user_uploads/3088252/1e4e4529-0d4f-433d-bb57-66119f1505da)\n\n", "url": "https://www.ycombinator.com/launches/Q15-trellis-autonomous-agents-for-short-term-rentals", "votes": 21, "created_at": "2026-04-22T00:09:17.166Z" } ] }, { "id": 31373, "name": "Atrisa", "slug": "atrisa", "former_names": [ "RefortifAI", "Refortifai", "Atrisa (formerly Refortifai)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4617548496dbefec602196f4a8fd1a7cc44bc632.png", "website": "https://atrisa.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI Agents to build, debug and automate analog circuit design", "one_liner": "AI Agents for Analog Circuit Design", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1774743443, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atrisa", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/atrisa.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/112140930", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4617548496dbefec602196f4a8fd1a7cc44bc632.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": 3404216, "full_name": "Sayan Mitra", "title": "Founder/CEO", "founder_bio": "CEO @ Atrisa | Ex Research Engineer @ KLA Semiconductors | Electrical Engineering @ IIT Madras\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sayanmitra9/", "x_url": "https://x.com/Cyan9800", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27033531f9f9b8bd466cc52e63931d7adea3862c.jpg" }, { "user_id": 2688355, "full_name": "Rithik Jain", "title": "Founder", "founder_bio": "COO @ Atrisa | Ex-PhD @ UW-Madison ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rithik--jain/", "x_url": "https://x.com/RithikWasHere", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0d593234246a03b323465b4e4a702c0be7469a8.jpg" }, { "user_id": 3404307, "full_name": "Atman Kar", "title": "Founder/CTO", "founder_bio": "CTO @ Atrisa | Ex-Texas Instruments Engineer ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atman-kar/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d6d1047db4e6ee00895c7dfed617c72154d96d2.jpg" } ], "jobs": [ { "id": 115582, "title": "Founding Analog Design Engineer", "url": "https://www.ycombinator.com/companies/atrisa/jobs/bQRwY6B-founding-analog-design-engineer", "location": "Bengaluru, KA, IN", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$30K - $60K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 115583, "title": "Founding AI / ML Engineer", "url": "https://www.ycombinator.com/companies/atrisa/jobs/we9oeZy-founding-ai-ml-engineer", "location": "Bengaluru, KA, IN", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$30K - $60K", "equity_range": "0.10% - 2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Python", "Torch/PyTorch", "Reinforcement learning (RL)", "AI Agents" ] } ], "news": [], "launches": [ { "id": 102384, "title": "Atrisa: Agents for Analog Circuit Design", "tagline": "Enabling analog circuit designers to tokenmaxx", "body": "Hello World!\\\nWe are [Sayan Mitra](https://www.linkedin.com/in/sayanmitra9/), [Atman Kar](https://www.linkedin.com/in/atman-kar/) and [Rithik Jain](https://www.linkedin.com/in/rithik--jain/), the team behind Atrisa!\n\nWe are launching **Atrisa**, an AI agent for analog circuit design - enabling analog circuit designers to tokenmaxx!\n\nAtrisa is the AI-native way to build analog circuits.\n\nRight now, frontier LLMs struggle making analog circuits. Designing industry grade analog circuits relies on “tribal knowledge” and internal company data - which LLMs have never seen.\n\nAtrisa has internalized the intuition of an analog engineer - enabling you to design, understand, and debug analog circuits with natural language!\\\n[https://youtu.be/YupbVdchblk](https://youtu.be/YupbVdchblk?si=HJebBGL3UqALNAXh)\n\n\\\nAtrisa hierarchically reasons about your circuit, finds the right topologies to match your specifications, and does deep-dive debugging and experimentation.\n\nIt takes into context everything an analog engineer would need: Reusability across older designs, possible interference, parasitics, and physical layout context. It can talk to other instances, so you don't get blocked by another engineer’s availability.\n\nAlong with providing a modern chat-based interface, Atrisa fits seamlessly into your existing workflows. You can bring your existing toolkit, PDKs, design docs, and Atrisa will understand and adopt.", "url": "https://www.ycombinator.com/launches/QdM-atrisa-agents-for-analog-circuit-design", "votes": 13, "created_at": "2026-06-02T16:20:45.709Z" } ] }, { "id": 31374, "name": "Tenet Industries", "slug": "tenet-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "website": "https://www.tenetindustries.com", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Tenet Industries is building AI-automated factories for electronics manufacturing services.\r\n\r\nWe're using AI and robotics to build a factory in München for instant-quote, fast-turnaround PCB Assembly and electronic manufacturing services.", "one_liner": "AI-automated factory for PCBAs", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775173231, "tags": [ "Hardware", "Manufacturing", "Automation", "Electronics", "Industrial" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/tenet-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tenet-industries.json", "year_founded": 2026, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/tenet-industries-ab/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5849b2060564f1836d25c1fa4a3cd18ef1bf9553.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ed09a12073ae1ca655b04908a899478f377abca8.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3351069, "full_name": "Emil Falk", "title": "Founder/CEO", "founder_bio": "Building Tenet: ultrafast, cheap and instant-quoted PCBAs in Europe with amazing developer tools & APIs.\n\nTwo-time hardware founder with an exit in a hardware startup. Grew up in a machining shop in Sweden. Stockholm School of Economics dropout. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emilfalk/", "x_url": "https://x.com/falkemil_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d442cfd078bc68961d3553d7f857be44b0af1fb9.jpg" }, { "user_id": 3398084, "full_name": "Fabian Andersson", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Used to build firmware and hardware for rockets and guidance systems. Dropped out of Aerospace Engineering at KTH. Ran a chicken farm at 11.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fanderssons/", "x_url": "https://x.com/0xfabian_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/24ff800c4c997be29d743a213138a5f543a18edc.jpg" }, { "user_id": 3336958, "full_name": "Hugo Frisk", "title": "Founder/Engineering", "founder_bio": "Member of Technical Staff @ Tenet Industries. Previously built production lines at Teenage Engineering. Built rockets and electronics at ÆSIR. Dropped out of engineering physics at KTH. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hugo-frisk/", "x_url": "https://x.com/PepperoniPingu/", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7dedc99c702850fd8f6aa424807cc1a74a43355d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31375, "name": "Hub", "slug": "hub", "former_names": [ "Hub", "Hub.xyz" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4807c17f08dbbfbdd8f51297746a838ba6db58c1.png", "website": "https://hub.xyz", "all_locations": "San Francisco, CA, USA", "long_description": "Hub is a multimodal lab providing real world data to frontier labs and robotic companies.", "one_liner": "Real-world training data for frontier AI labs and robotics.", "team_size": 40, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1773429014, "tags": [ "Robotics", "Crowdsourcing", "Big Data", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hub", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hub.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hub-xyz", "x_url": "https://x.com/hubdotxyz", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4807c17f08dbbfbdd8f51297746a838ba6db58c1.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": 3369916, "full_name": "Armin Kiani", "title": "Founder/CEO", "founder_bio": "CS & robotics. \nMicrosoft Innovation Award, 2020. \nWorked at Freedelity, Belgium's largest consumer-data platform.\nspeeding embodied agi with hub.xyz", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armin-k-3439033ab/", "x_url": "https://x.com/xarmin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cfe1e5dd284cd517f46c254fc8c238c747cc1666.jpg" }, { "user_id": 3035977, "full_name": "Tim Sprecher", "title": "Founder/COO", "founder_bio": "Co-founder @ Hub, real-world training data for frontier labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tim-sprecher-2a705220a/", "x_url": "https://x.com/tim404x", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/89d71ffcde838d447280bf34120d31b53f88d279.jpg" } ], "jobs": [ { "id": 99443, "title": "Field Operator - Brazil", "url": "https://www.ycombinator.com/companies/hub/jobs/uJPqDL4-field-operator-brazil", "location": "SP, BR / State of São Paulo, BR / São Paulo, SP, BR / São Paulo, State of São Paulo, BR / Remote (SP, BR; State of São Paulo, BR)", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$100 - $2K / monthly", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 114525, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/hub/jobs/ghznA3v-machine-learning-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$90K - $120K", "equity_range": "0.02% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 103084, "title": "Hub: real-world training data for frontier AI labs and robotics", "tagline": "Leveraging a global human network to collect data that don’t exist yet.", "body": "Hub provides real-world training data to frontier AI labs and robotics companies. We went to 7-figure revenue agreement on data delivery during the last weeks, working with some of the biggest names in AI and robotics.\\\n\\\n**Why now**\n\nThe gap between frontier models is closing, and internet-scale data is largely exhausted. The only edge left is real-world data that humans have to produce. Every lab now wins or loses on its edge cases, and edge cases need specific data captured by specific people: data that doesn't exist anywhere online. Whoever can go collect the right data first ships the better model first. Human labor is half of global GDP, and almost none of it has been recorded yet.\n\n**What Hub does**\n\nWe capture this data through a global network of humans, across all continents. We route and activate the exact people who fit a lab's brief and deliver in days, not the months it takes to source a generic dataset off the shelf. Because we collect the data ourselves, we can attest its provenance, which you can't do for data you didn't capture. Our ML and QA pipelines then verify and enrich it, so we meet the hardest dataset requirements labs throw at us. The moat isn't the data, it's how fast we can go get it.\n\n**Traction**\n\nFrom 5-figure to 7-figure in revenue agreement on successful data delivery. We now work with some of the biggest frontier AI labs and robotics companies in the world.\n\n**The ask**\n\nTwo asks: —> You're building frontier models or robots and data is your constraint. \\\n—> You're a top robotics engineer, a PhD whose research touches robotics or egocentric data, or someone with deep experience at a leading robotics lab, we're hiring. \\\n\\\nReach out here: [founders@hub.xyz](mailto:founders@hub.xyz).", "url": "https://www.ycombinator.com/launches/Qoe-hub-real-world-training-data-for-frontier-ai-labs-and-robotics", "votes": 1, "created_at": "2026-06-15T14:57:21.570Z" } ] }, { "id": 31376, "name": "Light Anchor", "slug": "light-anchor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e90f1f997478761cc013525bd81b5fc23984166.png", "website": "https://lightanchor.ai", "all_locations": "Seoul, Seoul, South Korea", "long_description": "Light Anchor (YC P26) is an AI-native growth agency for consumer brands.\r\n\r\nConsumer brands have always been limited by the speed of humans: hiring, coordinating, and sleeping. AI agents that now run operations end-to-end break all those constraints, making a new kind of consumer business possible: one capped by compute, not headcount.\r\n\r\nToday, Light Anchor operates 7 brands, all run by AI agents on a shared platform that compounds with every new brand launched. The vision is thousands of consumer businesses, operating with little to no human intervention.", "one_liner": "AI-native growth agency for consumer brands", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1777575492, "tags": [ "E-commerce", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "South Korea", "East Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/light-anchor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/light-anchor.json", "year_founded": 2026, "city": "Seoul", "country": "KR", "linkedin_url": "https://www.linkedin.com/company/light-anchor", "x_url": "https://x.com/lightanchor_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3e90f1f997478761cc013525bd81b5fc23984166.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": 396406, "full_name": "Sangha Park", "title": "Founder/CEO", "founder_bio": "AI-native growth agency for consumer brands. ex-Sendbird (YC W16), Brown CS.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sanghaha", "x_url": "https://x.com/sanghaya1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25a5cef0ebb40ee7cb3c9fbd7b72f931c7c625a5.jpg" }, { "user_id": 3198656, "full_name": "Chase Kim", "title": "Founder", "founder_bio": "AI-native growth agency for consumer brands. ex-Sendbird (YC16)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/littlejkim/", "x_url": "https://x.com/chasingjohnnn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51007cc90375b28502d6267f7340c9490b460a10.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100906, "title": "Light Anchor, AI-run consumer brands", "tagline": "Building fully AI-run consumer brands at the speed of compute", "body": "**TL;DR:** \n\nLight Anchor (YC P26) builds fully autonomous e-commerce brands that run at the speed of compute. Consumer brands have always been limited by the speed of humans: hiring, coordinating, and sleeping. AI agents that now run operations end-to-end break all those constraints, making a new kind of consumer business possible: one capped by compute, not headcount.\n\nToday, Light Anchor operates one flagship brand and multiple experiment stores, all run by AI agents on a shared platform that compounds with every new brand launched. The vision is thousands of consumer businesses, operating with little to no human intervention.\n\n\n\n### **Why we're doing this**\n\nE-commerce brands have always been bottlenecked by how fast humans can run them. With agents that operate end-to-end, that bottleneck disappears, and a different kind of consumer business becomes possible: one where the cost and speed of operating it isn't capped by headcount.\n\nTo test whether agents could do the actual work humans do at an e-commerce brand, we deployed our first agent on Upwork, where small businesses post tasks for freelancers. We started small, with discrete tasks: catalog cleanup, SKU uploads, and data migrations. Within days, our agent had completed 50+ Shopify jobs end-to-end at a 4.9/5 rating, and the same clients started asking for more. \"Clean up our catalog\" turned into \"run our marketing,\" then \"handle our sourcing,\" then \"run the whole storefront.\" Within 3 weeks, we were running multiple stores end-to-end for owners who used to do this work themselves.\n\nToday we own and operate multiple stores of our own.\n\n### **The agents, platform, and data**\n\nHere are the agents that run our stores:\n\n* **CEO agent**: sets weekly priorities, manages a $10K budget per brand, escalates decisions for human review\n* **GM agent**: P&L, merchandising, inventory, sourcing, customer support\n* **Marketing agent** ([cherylkim.me](http://cherylkim.me)): creatives and influencer marketing\n* **Engineering agent**: unblocks technical work, ships tools\n\nEvery brand runs on the same architecture, with a shared layer (agent tooling, integrations, analytics) and a brand-specific layer (memory, policies, and decisions). Both compound: every brand we launch makes the platform smarter, and the marginal cost of launching the next brand keeps falling. Our bet isn't just to operate more stores; it's to understand customers better than any human team can and capture demand the moment it shifts.\n\nEach brand generates a stream of operating decisions (creatives tested, ads spent, suppliers negotiated, tickets closed) that gets written to a central record the agents can read back from.\n\nHumans don’t operate this way because the cost of writing everything down and coordinating across teams is higher than the value. When the operators are agents, that cost goes to zero. Once the record accumulates, a few things become possible: better targeting, faster store setup, and market/consumer simulations.\n\n### **Asks**\n\nIf you're any of the following, or you know someone who is, we'd love to hear from you:\n\n* **Buy our products:** Use the YC code YC26 for 25% discount at[ ](http://slowhaste.com). Every sale matters!\n* **E-commerce owners:** Share your stories and experiences with us. We're happy to learn.\n* **Signup for AdBench**: We’re benchmarking how marketing agents run ads across the latest frontier models. Sign up here: .\n* **Frontier labs**: We want to learn how to use models better to operate businesses!\n\nReach us at [founders@lightanchor.ai](mailto:founders@lightanchor.ai).\n\n### **Team**\n\nWe met at Sendbird (YC W16), where we led the AI agent product and forward deployment teams (respectively) during its 2024 pivot into AI agents for customer experience. Sendbird built the messaging APIs behind DoorDash, Reddit, and Hinge.\n\nWe took this right after we decided to start a company back in December. Day 1.\n\n![uploaded image](/media/?type=post&id=100906&key=user_uploads/396406/1bda8bdf-bcd5-4045-afbf-9c9a1fcb7757)\n\n", "url": "https://www.ycombinator.com/launches/QFW-light-anchor-ai-run-consumer-brands", "votes": 13, "created_at": "2026-05-06T19:03:04.629Z" } ] }, { "id": 31377, "name": "Limrun", "slug": "limrun", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab10903dc4335cb12beff61e9e9cb75f732ed72a.png", "website": "https://lim.run", "all_locations": "San Francisco, CA, USA", "long_description": "Coding agents in the cloud don't work for majority of teams who require native capabilities; they lack XCode for iOS, Emulator for Android, Unity for game development teams. We are on a mission to cloudify every local development utility so that regardless of where it runs, your agent can compose an ideal set of capabilities on the fly so you don't need to run it on your laptop.\r\n\r\nToday, we provide remote services such as XCode, iOS & Android simulators to enable coding agents running in any sandbox to be able to build and iterate over mobile apps, too.\r\n\r\nReplit, Rork, Momentic, Minitap and more agent companies have built mobile development and testing experiences on Limrun platform. Coconote (Quizlet), SorceJobs (W25) and more companies with mobile apps use Limrun with their cloud agents, merging PRs without having to check out the code locally.", "one_liner": "Extend cloud sandboxes with iOS, Android and more", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779230895, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/limrun", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/limrun.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/limrun", "x_url": "https://x.com/limrun", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab10903dc4335cb12beff61e9e9cb75f732ed72a.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": 262589, "full_name": "Muvaffak Onuş", "title": "Founder/CEO", "founder_bio": "Previously at Amazon (intern), SAP, Upbound and QA Wolf. I optimized EMR clusters at Amazon for ML workloads, then worked on Kubernetes at SAP and at Upbound, I was maintainer at Crossplane, open source cloud control plane, and tech lead for provider efforts. At QA Wolf, I founded and led the team that built web & mobile testing sandboxes at global scale.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mmonus", "x_url": "https://x.com/muvaffakonus", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/82cf60ae8c544b701f2e71ac6ed01a5e5264287a.jpg" } ], "jobs": [ { "id": 110499, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/limrun/jobs/SvYNO1K-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$180K - $300K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Go", "Kubernetes", "Distributed Systems", "Software Architecture" ] }, { "id": 111593, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/limrun/jobs/Bgetg6K-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$110K - $140K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 114326, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/limrun/jobs/EK9RXio-founding-engineer", "location": "Istanbul, İstanbul, TR", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$75K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Go", "Kubernetes" ] }, { "id": 116542, "title": "Developer Relations Engineer", "url": "https://www.ycombinator.com/companies/limrun/jobs/j8ucUHG-developer-relations-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$165K - $175K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 101736, "title": "Limrun - Your cloud agent can build mobile apps now", "tagline": "Extend your cloud agent with XCode, Android and more", "body": "TLDR; We provide remote XCode, iOS & Android Simulators and more to extend cloud agents’ capabilities. Replit, Rork, Momentic AI, x1 and many others built on our cloud and now we open it up to all mobile dev teams so you can use your favorite cloud agent for iOS and Android apps too.\n\nIf you have a mobile app, let’s talk! \n\n\n\n---\n\nWhen code is written by humans, it lives on our laptops and PCs, but that's changing now that teams of agents are writing code alongside us. Today, code written by agents is moving to the cloud: Cursor Cloud, Devin AI, Codex Web, in-house solutions with sandboxes and more.\n\nNow the problem is that all these cloud agents have Linux-based sandboxes as opposed to our laptops that we bought specifically for coding. If you want to use sandboxes for iOS development, you don’t have XCode. If you have an Android app, no emulator that works well. There’s no properly priced GPU option for running Unity either.\n\nLimrun is building a cloud that provides these apps as remote services running in the environments they were designed to while letting your agents use them remotely from your favorite sandbox. All you need is a single skill file to teach your agent how to use our remote services. That’s it. No change of sandbox or agent.\n\nToday, we provide 3 services:\n\n* XCode: With a single CLI call, your code is synced, a build is triggered and your agent gets the logs to iterate.\n* iOS Simulator: Your agent can request a simulator to test the app with built-in AX tree or your favorite framework like Appium/Maestro/Detox etc.\n* Android Emulator: Similarly, it can request an emulator that will be proxied via an “adb” tunnel so it’s as if locally running.\n\nThese are not full sandboxes. We provide the highest level interface so your agent can orchestrate what it needs remotely and we optimize the heck out of the rest; hardware encoders for streaming, warm NVMe caches for building, below 1s boot times, on-demand recording, asset storage and more.\n\nHere is an example flow where Cursor Cloud (or an agent in E2B/Daytona/Docker etc) builds an iOS game in Swift:\n\n* Agent takes the issue from Linear and spins up its sandbox.\n* Writes the Swift code and calls the “lim xcode build .” command, streaming logs back.\n* Iterates over compiler errors.\n* Requests an iOS simulator with “lim ios create” and attaches it.\n* Plays the game with batch actions that provide millisecond precision.\n* We return the recording that it reviews, sees the bugs, implements the fixes.\n* Finally, records a demo video and constructs a preview link to drop on the PR.\n\nIt goes from Linear issue to a fully tested PR with demo and preview link that opens in the browser with realtime streaming or you can install to your device over WebUSB without downloading anything.\n\nIf you have a mobile app, let’s talk\\![ https://cal.com/team/limrun/mobile-app-dev-in-cloud](https://cal.com/team/limrun/mobile-app-dev-in-cloud)", "url": "https://www.ycombinator.com/launches/QSu-limrun-your-cloud-agent-can-build-mobile-apps-now", "votes": 15, "created_at": "2026-05-21T20:49:26.104Z" } ] }, { "id": 31380, "name": "Superlog", "slug": "superlog", "former_names": [ "Swish", "Pulsend", "Pulsent", "Deep Engage", "Deepengage", "Openengage", "Deepengage", "Pulsending", "deep engage", "Singlevox", "deep engage", "Pulsent" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "website": "https://superlog.sh/", "all_locations": "Paris, Île-de-France, France", "long_description": "Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself.\r\n\r\nSuperlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it.\r\n\r\nTelemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.", "one_liner": "Make software self-healing", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1775225049, "tags": [ "Developer Tools", "Open Source", "Kubernetes", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/superlog", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/superlog.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/superlogyc", "x_url": "https://x.com/superlogyc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96347d910b359b8008029da5fa69b30000efd6d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/9339274586ae39d3f925367f988400bf43295c57.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1660276, "full_name": "Nicolò Magnante", "title": "Founder/CEO", "founder_bio": "ex-BCG, math olympiad winner, scaled two startups to millions in ARR. now working to make the world bug-free. \n\nlife goals:\n1 - build a decacorn\n2 - get italy to top 5 ww gdp\n3 - win an oscar", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nicolo-magnante/", "x_url": "https://x.com/nicolomagnante", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b8bcc3506b03fd18553c21a745fb1ca58549dc3d.jpg" }, { "user_id": 2807293, "full_name": "Arseniy Shishaev", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Superlog, previously co-founder & CTO at Bluco (top 40 startup in France in 2025). CS @ École 42 Paris '22, built data pipelines and tooling at Datadog. National olympiad winner in high school, electronics and hardware nerd, coding interview prep & first aid volunteer.", "is_active": true, "linkedin_url": "https://linkedin.com/in/arseniy-shishaev", "x_url": "https://x.com/arseniyswish", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dbbe5e3ee648431c9ed6c3b18cb41e7bfc059958.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101239, "title": "Superlog: The self-installing observability tool that fixes your bugs", "tagline": "A wizard sets up your telemetry every day. An agent investigates incidents and ships mergeable PRs.", "body": "Hey YC! We're Nicolò and Arseniy, co-founders of Superlog ([superlog.sh](https://superlog.sh/)).\n\n**TL;DR:** Superlog is the observability tool you're not supposed to open. A wizard scans your repo and instruments it with OpenTelemetry, and re-runs daily to keep your logs, alerts, and dashboards in sync with your code. When something breaks, an agent investigates with full context and posts one mergeable PR per incident into Slack.\n\n\n\n## **The Problem**\n\nArseniy spent years at Datadog, getting paged during the night to debug production incidents. In our first startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. \n\n* **Setup never ends.** Proper telemetry takes days of manual work and breaks the moment you ship new features. Half the dashboards end up empty or outdated.\n* **Alert fatigue is constant.** Sentry floods Slack with duplicates and no context. The Saturday #ops ping is the worst feeling of the week.\n* **The bill climbs.** Datadog invoices keep growing while engineers still spend hours configuring dashboards, chasing three AWS metrics that disagree, and copy-pasting stack traces into Claude at 11pm.\n\n## **Our Solution**\n\n**1. Telemetry that sets itself up.** Tell your agent:\n\n```\nRun npx skills add superloglabs/skills --all and use the skills to install Superlog in this project\n```\n\nThis skill instruments your code with native OTel SDKs: proper semantic conventions, service and environment tagging. We cover all failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant, and model). We run observability check-ins that keep adding logs, alerts, and dashboards as your code grows.\n\n**2. An agent that investigates and ships PRs.** Errors get prioritised and grouped into incidents. The agent investigates with full context (logs, traces, metrics, recent deploys) and either produces a short tested PR, or posts its findings and pulls in the engineers who own the system (based on docs, prior investigations, Slack threads). One mergeable PR per incident in Slack. Merge it, ignore it, or open it as a Claude Code/Codex session and tweak.\n\n**3. No alert fatigue.** Our custom eval setup makes sure incident summaries in your #ops channel are dense and correct, with severity and impact upfront. Every LLM-enhanced metric ships with a confidence score, so wrong guesses don't get boosted.\n\nThe telemetry you get is vendor-neutral: you keep all the OTel logs, metrics, and traces we install, even if you choose to switch providers.\n\n## **Where We're Going**\n\nEvery engineering team in the world burns nights and weekends debugging production. We want to delete that loop. Observability should install itself, alert intelligently, and fix what it can.\n\n## **About Us**\n\n* **Nicolò (CEO)** — ex-BCG, math olympiad winner, scaled two startups to millions in ARR, with international enterprise contracts at Bluco (McDonald’s, Volkswagen, Dufry, etc).\n* **Arseniy (CTO)** — coding since 12yo, won school olympiads, worked on high-performance data systems at Datadog and built engineering teams from scratch at Bluco.\n\n![uploaded image](/media/?type=post&id=101239&key=user_uploads/1660276/b630a0c3-d186-4f4c-95c0-6832f7893f47)\n\n## **Our Ask**\n\nWe'd love intros to:\n\n* Engineering leaders drowning in Sentry alerts or Datadog bills\n* Startups that rolled their own observability and want to throw it away\n\n**Try it:** [superlog.sh](https://superlog.sh/)\\\n**Email:** [nicolo@superlog.sh](mailto:nicolo@superlog.sh)", "url": "https://www.ycombinator.com/launches/QKt-superlog-the-self-installing-observability-tool-that-fixes-your-bugs", "votes": 69, "created_at": "2026-05-12T14:37:58.734Z" } ] }, { "id": 31381, "name": "GovGuard", "slug": "govguard", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/088748b86012913f3794408762cedda4f06a4bbf.png", "website": "https://govguard.com", "all_locations": "", "long_description": "GovGuard is building AI agents that automate government workflows, starting with FOIA requests.\r\n\r\nToday, public records teams still spend hours searching for responsive records and applying redactions. Many offices still redact sensitive information line by line with a sharpie. Local governments spend billions processing these requests, and if a city misses a legal deadline, it can be sued for failing to comply with public records law.", "one_liner": "Automating Government Workflows, starting with FOIA", "team_size": 0, "industry": "Government", "subindustry": "Government", "launched_at": 1776807232, "tags": [ "GovTech" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Government" ], "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/govguard", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/govguard.json", "year_founded": null, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/govguard", "x_url": "https://x.com/gov_guard", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/088748b86012913f3794408762cedda4f06a4bbf.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c7e44970eb0b728fe6a41c29402a2d5040b9a7dd.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2693506, "full_name": "Gleb Hulting", "title": "Founder", "founder_bio": "CTO/Founder @ GovGuard. Previously founded BoardWatch, a public-sector AI company adopted by leading education nonprofits. At 19, bootstrapped EGO Logistics and won government contracts while in school. UIUC BioE.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gleb-hulting-a45b903ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e00d298dac86565d315fe1f8b025dede90b0bba0.jpg" }, { "user_id": 2495398, "full_name": "Aditya Sabharwal", "title": "Founder", "founder_bio": "CEO/Founder @ GovGuard. Previously founded BoardWatch, a public-sector AI company adopted by leading education nonprofits. Worked on regulated systems at Blue Cross Blue Shield and Centene. UIUC CS Masters.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aditya-sabharwal-a2454a1ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d02aa298e40799548ddce4b34083dd54fa7d7d6e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100037, "title": "GovGuard — Automating government workflows, starting with FOIA 🏛️", "tagline": "AI agents for FOIA and public records", "body": "Today, when a city gets a public records request, the process is still painfully manual.\n\nCity clerks have to hunt through archived emails, meeting minutes, PDFs, and shared drives just to find the relevant records. Many offices still manually black out sensitive information with a Sharpie, line by line.\n\nLocal governments spend billions processing these requests. It’s slow, expensive, and a large request can create massive backlogs. If a city misses the deadline for a request, they can be sued for failing to comply with public records law.\n\nGovGuard uses AI agents to automatically search across years of records, flag sensitive information for redaction, and prepare draft response letters for review. Our redaction engine handles harder edge cases like trade secrets and privileged material. Legacy tools require clerks to manually cite state codes for every redaction, while GovGuard is built with these exemptions.\n\nLaunch Video:\\\n\n\nThe new surge of AI-generated requests are overwhelming clerk offices. Most cities we speak with are seeing request volume grow 2x year over year, with no increase in staff. The tools they have today are basically Jira. They help manage the ticket/request, but not complete the work.\n\nThanks y’all.\n\n**Aditya & Gleb**", "url": "https://www.ycombinator.com/launches/Q1V-govguard-automating-government-workflows-starting-with-foia", "votes": 23, "created_at": "2026-04-22T17:54:00.022Z" } ] }, { "id": 31382, "name": "Kinro", "slug": "kinro", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a6042942a7506c8f7817f8f92ca6675143b71ba.png", "website": "https://www.kinro.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We help small business owners get the right coverage.", "one_liner": "Autonomous insurance brokerage for small businesses", "team_size": 6, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1773944938, "tags": [ "Fintech", "Insurance", "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kinro", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kinro.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kinro-ai/", "x_url": "https://x.com/kinroai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0a6042942a7506c8f7817f8f92ca6675143b71ba.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": 2043734, "full_name": "Pierre-Alexandre Kamienny", "title": "Founder/CEO", "founder_bio": "I am the co-founder & CEO of Kinro, the first autonomous insurance brokerage.\nPreviously Research Scientist at Google DeepMind & Meta.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pakamienny/", "x_url": "https://x.com/pierrealexai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8011f44491a795f4215a55159a7c9b09eab0bb1e.jpg" }, { "user_id": 3399845, "full_name": "Parth Ainampudi", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Kinro AI", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/partha42/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe864aaf327324d1df33b5061c87e9160c1dea01.jpg" }, { "user_id": 3226721, "full_name": "Corentin Hugot", "title": "Founder/COO", "founder_bio": "I am the co-founder & COO of Kinro AI. \nKinro enables sales of insurance in AI native platforms like ChatGPT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/corentin-hugot/", "x_url": "https://x.com/corentin_hgt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/33cfc43b4150b1e60e86301f8a32c4c9e650a725.jpg" } ], "jobs": [ { "id": 107965, "title": "Content & Brand Intern", "url": "https://www.ycombinator.com/companies/kinro/jobs/TZ7vUM1-content-brand-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 109891, "title": "Insurance Producer", "url": "https://www.ycombinator.com/companies/kinro/jobs/X8IIJLV-insurance-producer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50 - $80", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 103281, "title": "Kinro - The first autonomous insurance brokerage", "tagline": "Our AI agents handle the full broker workflow 24/7, from finding prospects to binding policies.", "body": "![uploaded image](/media/?type=post&id=103281&key=user_uploads/3226721/30408a2d-dd8a-47e8-a0b7-b6c76f94eee2)\n\n_We hesitated between rap and insurance…_\n\nPreviously, we hit $1M in annual revenue building insurance workflows for brokers. Then we realized **the bigger opportunity was replacing them.**\n\nIn the US, there are 36 million SMBs, and 77% are underinsured because distribution is broken. Brokers can’t serve low-premium SMBs profitably: a $2K policy takes almost as much work as a $20K one.\n\nKinro changes that. Our AI agents handle the full broker workflow 24/7, from finding prospects to binding policies.\n\nIn 3 weeks, we got licensed in 30 states, appointed by 15 carriers, and **we bound the first-ever autonomously sold insurance policy.**\n\nBefore Kinro, [Pierre-Alexandre](https://www.linkedin.com/in/pakamienny/) was an AI researcher at DeepMind (post-training Gemini on financial services). [Parth Ainampudi](https://www.linkedin.com/in/partha42/) led ML infra at Zoox and I was Chief Insurance Officer at an MGA (insurtech).\n\n**Asks**\n\nIf you ever need commercial insurance and want us to shop for you, hit us at [kinro.com](http://kinro.com) (yes we bought the domain for $25k, story [here](https://x.com/pierrealexai/status/2060382045571072043))! \n\n![uploaded image](/media/?type=post&id=103281&key=user_uploads/2043734/bac0ad88-22f1-4376-accb-852778c22c1e)\n\n_Post-pivot, Kinro goes to Atlanta to work for 48 straight hours with a retail broker specialized in selling to residential contractors._\n\n**Q&A**\n\n_“Why pivot?”_\n\nWe entered YC with a signed $1M enterprise sale to the 2nd largest auto-insurance comparator in the US a few days before (and a third of that money was wired). \n\nFirst OH, [@Nicolas Dessaigne](https://bookface.ycombinator.com/user/5628) asked us _“Why not become a broker directly?”_. \n\nWe told him we thought we could reproduce that sale with other brokers and maybe carriers. A month in, we hadn’t yet reproduced the same feat (though we had secured a pilot with the 3rd insurance broker on Earth: WTW). It became more and more obvious that integrations were deep (and FDE intensive) and enterprise sales were endless.\n\nWhat felt most off was the gap between what we were doing and our long-term vision: helping small business owners and individuals find the right insurance, wherever they are and whenever they need it.\n\n_“So why not just build that?”_  \\\n\\\nWe always knew we would eventually. Selling to brokers gave us a way to learn while getting paid. But we realized we weren’t learning as fast as we would by building directly for the people we ultimately wanted to serve.\n\n1.5 months later, we came back to him _“Nicolas, we want to become brokers… and this $1M is bad for us”_, he simply answered _“Oh I told you guys, this was obvious”_ (LOL). Walking away from >1M+ from all our clients felt easier after talking about this to [@Nicolas Dessaigne](https://bookface.ycombinator.com/user/5628) and [@Mathilde Collin](https://bookface.ycombinator.com/user/43195). Without YC, we would have waited much longer.\n\n_“What types of insurance do you sell?”_\n\nWe sell small business insurance (General Liability, Business Owner’s policy, Worker’s compensation, Commercial Auto…). We focus on admitted markets where checking carriers' appetite and getting quotes can be fully automated with no communication with carriers.\n\n**This new launch video as embarrassing as it is is worth watching! Send us a text if you want your angels to take care of your business.**", "url": "https://www.ycombinator.com/launches/Qrp-kinro-the-first-autonomous-insurance-brokerage", "votes": 7, "created_at": "2026-06-16T15:35:00.984Z" } ] }, { "id": 31383, "name": "Juno", "slug": "juno-chat", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a72885d00b3ce4174fa9f0ed74a4a9a2a0a0898.png", "website": "https://junocompanion.com/", "all_locations": "London, England, United Kingdom", "long_description": "Juno is an AI personal health assistant for the 1B+ people living with chronic illness.\r\n\r\nLaunched in October, Juno now supports 300,000+ patients globally.", "one_liner": "AI Health Assistant for Chronic Illness", "team_size": 5, "industry": "Healthcare", "subindustry": "Healthcare -> Consumer Health and Wellness", "launched_at": 1776751581, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Consumer Health and Wellness" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/juno-chat", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/juno-chat.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/junocompanion", "x_url": "https://x.com/junocompanion", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a72885d00b3ce4174fa9f0ed74a4a9a2a0a0898.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": 2576001, "full_name": "Isaac Tolley", "title": "Founder/CEO", "founder_bio": "Co-Founder & CTO of Juno. Previously built medical chatbots for the NHS, Founder's Associate at Mimotype (protein engineering) and neuroscience researcher at UCL. Studied Molecular Biology at UCL, ranked 2nd.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/isaactolley/", "x_url": "https://x.com/isaactolley_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f83139574c6a23af84652520a1767c17eb1e64c.jpg" }, { "user_id": 2575827, "full_name": "Marshall Gould", "title": "Founder/CTO", "founder_bio": "Co-Founder & CEO of Juno. MSc in Genomic Medicine from the University of Oxford, ranked 1st. Author of 3 scientific publications and winner of multiple hackathons.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marshall-gould/", "x_url": "https://x.com/MarshallJGould", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d16fb61945503259a6d3e1cd7d3a826d26ab4c24.jpg" } ], "jobs": [ { "id": 98425, "title": "Founding Mobile Engineer at Juno", "url": "https://www.ycombinator.com/companies/juno-chat/jobs/tuWodMs-founding-mobile-engineer-at-juno", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "iOS", "salary_range": "$130 - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Android", "iOS", "React Native" ] }, { "id": 99251, "title": "AI Founding Engineer at Juno", "url": "https://www.ycombinator.com/companies/juno-chat/jobs/TPnzNRU-ai-founding-engineer-at-juno", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Python", "Machine Learning", "LLMs" ] }, { "id": 113633, "title": "Growth & Operations Intern", "url": "https://www.ycombinator.com/companies/juno-chat/jobs/RIUxbN6-growth-operations-intern", "location": "San Francisco, CA, US / London, England, GB / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$2K - $3K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 113667, "title": "Social Media & Content Intern", "url": "https://www.ycombinator.com/companies/juno-chat/jobs/4VLpYxw-social-media-content-intern", "location": "London, England, GB / San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$2K - $3K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 114035, "title": "Social Media Manager", "url": "https://www.ycombinator.com/companies/juno-chat/jobs/Nk0pWpg-social-media-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$60K - $110K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How These Three AI Healthcare Companies Are Restoring The Human Touch", "url": "https://www.forbes.com/sites/alisoncoleman/2026/03/04/how-these-three-ai-healthcare-companies-are-restoring-the-human-touch/", "date": "Mar 03, 2026" } ], "launches": [ { "id": 101749, "title": "Juno - AI Health Assistant for Chronic Illness", "tagline": "Juno helps people living with chronic illness reduce their symptoms and shorten the path to a diagnosis", "body": "Hey YC! 👋\n\nWe're [Isaac](https://www.linkedin.com/in/isaactolley/) and [Marshall](https://www.linkedin.com/in/marshall-gould/), co-founders of [Juno](https://junocompanion.com/).\n\n**TL;DR:** Juno is an AI personal health assistant for the 1B+ people living with chronic illness. Over 80,000 people already use Juno to reduce their symptoms and shorten the path to a diagnosis.\n\n**_Ask:_** Know someone living with chronic illness? Send them [Juno](https://junocompanion.com/) - we support a broad range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n\n\n#### ❌ The Problem\n\nOver 1 billion people live with chronic illness: fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, lupus, MS and many more.\n\n* Patients spend months waiting for appointments, then get 15 minutes to explain years worth of symptoms\n* The average diagnosis takes 7.6 years\n* Many now turn to ChatGPT and Claude for advice, but without continuous context, the advice is generic and rarely actionable\n\n#### 👬 Our Story\n\nWe started building Juno after growing up with chronic conditions ourselves. Isaac waited 14 years for an eosinophilic bronchitis diagnosis. Marshall lives with ME/CFS and is still searching for something that helps. We spent the last year conducting research at Oxford and UCL to understand what makes people engage with medical chatbots, to allow Juno to ask the right questions at the right time and comprehensively understand each user’s health. \n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/267e13c1-8296-4daf-8903-67cc817c56de)\n\n#### 🩺 The Solution\n\nJuno builds a longitudinal health profile from your conversations, biometrics, and medical history to provide:\n\n* **💬 Personalised symptom advice** - guidance that actually makes sense for your body\n* **📊 Continuous tracking** - symptoms logged automatically through natural conversation, by text or voice\n* **🔍 Pattern detection** - identifies triggers and patterns over weeks and months\n* **📄 Appointment-ready PDFs** - turn months of data into a summary your doctor can instantly understand\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/18c9d3ee-5e7f-4b89-9465-09ecf9ea380e)\n\n#### 📈 Where we’re at (after 6 months)\n\n* **80,000 users** globally, grown primarily through our organic content\n* **9,000+ five-star** App Store reviews\n\n![uploaded image](/media/?type=post&id=101749&key=user_uploads/2576001/277ec7df-3d59-4171-bb3b-e5fbda59ff1c)\n\n#### 🙏 Our Asks\n\n1. **Know someone with a chronic illness?** Please share Juno with them. We support a wide range of conditions including fibromyalgia, long COVID, POTS, ME/CFS, EDS, endometriosis, PCOS, lupus, MS, and many more. We'd love their feedback and hope it can be helpful.\n2. **Intros to operators who've scaled consumer health products.** We're growing fast but Juno can reach far more people.\n\n👉 Please share any feedback and contact us at [team@juno-chat.com](mailto:team@juno-chat.com)\n\n Download the app here: [https://junocompanion.com](https://junocompanion.com/)", "url": "https://www.ycombinator.com/launches/QT7-juno-ai-health-assistant-for-chronic-illness", "votes": 26, "created_at": "2026-05-22T02:55:43.272Z" } ] }, { "id": 31385, "name": "Zolvo", "slug": "zolvo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13449379aadac83de276a47cb8ee88b50b55c4f8.png", "website": "https://zolvo.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Commercial lenders manage billions in assets on legacy software and manual workflows, their systems live on people’s heads like its the 90s. Zolvo replaces the entire back office with AI: automated data ingestion, invoice reconciliation, collections outreach, and funder monitoring. Our clients go live in weeks and eliminate hours of daily manual work per operator, allowing teams to only handle exceptions. We're building the future of commercial lending.", "one_liner": "AI Back-Office Automation for Commercial Lenders", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1773364062, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zolvo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/zolvo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/zolvo-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13449379aadac83de276a47cb8ee88b50b55c4f8.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": 1909560, "full_name": "Tony Montes", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Zolvo (YCP26). Founding AI engineer at Domu (YC S24), built voice AI infrastructure that scaled to 100K+ calls per day for enterprise fintech clients. Background in AI research with publications at ACL and EMNLP and work on generative models at Cornell. Builds Zolvo’s product and infrastructure end to end for commercial lenders.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/t-montes", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2b5a1f21979423d6a6ff37cc30f299cc9cbadf5.jpg" } ], "jobs": [], "news": [ { "title": "Zolvo Automates Commercial Lending Back Office Tasks | Y Combinator posted on LinkedIn", "url": "https://www.linkedin.com/feed/update/urn:li:activity:7455284831799775235/", "date": "May 11, 2026" }, { "title": "Instagram", "url": "https://www.instagram.com/reel/DVzOY3hkQ_H/?igsh=YTEyczRpbXBhODZl", "date": "Mar 12, 2026" } ], "launches": [ { "id": 100465, "title": "Zolvo: AI that automates servicing for commercial lenders", "tagline": "The automation layer for commercial lending back-offices, making it easy for firms to manage reconciliation, collections, and monitoring without scaling their headcount.", "body": "**The problem**\n\nFactoring and ABL is a **$4T+ industry running on 1990s software**. There is no automation layer. Every new client means more headcount, not better software.\n\nIn practice: For a $500M AUM lender, teams spend **6+ hrs/day** matching messy wire payments, with 16–20 errors/month and 3-day processing cycles. **25 people** verify invoices at $2–5 each, and funding is delayed 1–3 days. Account managers chase 50–100 borrowers/day, with payment proof lost in emails, spreadsheets, and SMS threads.\n\n**What Zolvo does**\n\nZolvo is giving **lenders the infrastructure they need to scale efficiently while maintaining total visibility and control over their risk**.\n\nWe sit as the AI layer between bank accounts, loan management systems, and ops teams. Our platform syncs directly with bank accounts, communication channels, and LMS/FMS to handle reconciliation and collections automatically. By turning these manual chores into background processes, your team now reviews only the exceptions.\n\n**Video Launch**\n\n\n\n**Traction**\n\n**Our first client paid an annual contract before we had a product** and became an angel investor two weeks in. We went live in less than a month and replaced work that would have required a team of 14 people.\n\n**Asks**\n\n**1. Do you know anyone in factoring or ABL?** One warm intro is worth more than any outreach we run.\n\n**2. We’re looking to partner with private credit funds.** We’re building the monitoring and reporting layer their portfolio companies need, and they’re great distribution partners.\n\n**Book a demo** or contact: [isa@zolvo.com](mailto:isa@zolvo.com)\n\n**Why us**\n\nOur first paying client signed during the YC application process, before a single line of code was written. I was the first hire at Domu (YC S24), where we went from $0 to $1M ARR. Tony was a founding AI engineer at Domu too, running 100K+ AI calls/day with zero churn.", "url": "https://www.ycombinator.com/launches/Q8P-zolvo-ai-that-automates-servicing-for-commercial-lenders", "votes": 41, "created_at": "2026-04-29T01:19:36.629Z" } ] }, { "id": 31386, "name": "Interfaze", "slug": "interfaze", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png", "website": "https://interfaze.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with transformers for tasks that require deterministic output and high consistency like Document intelligence, Object detection, Classification, Audio understanding and more.\r\n\r\nInterfaze outperforms large lab models like Gemini flash, Claude Sonnet and the GPT-5.4 mini series\r\n\r\nArchitecture paper: https://arxiv.org/abs/2602.04101\r\nFull open benchmarks: https://interfaze.ai/leaderboards", "one_liner": "AI model built for high accuracy deterministic tasks", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1774812127, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/interfaze", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/interfaze.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/interfaze-ai", "x_url": "https://x.com/interfaze_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/jigsawstack", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbbb1bb306037fdebdde3c7b1d20cb434879fb79.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e1b4669e7ba400f6249ca5fc9776423b8b2478f7.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1618136, "full_name": "Yoeven D Khemlani", "title": "Founder/CEO", "founder_bio": "8 years in edge computer vision research | 2nd time founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/yoeven", "x_url": "https://x.com/yoeven", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48506dcf75872046a6d42638b3e2a07552e1a7ca.jpg" }, { "user_id": 2229538, "full_name": "Harsha Vardhan Khurdula", "title": "Founder/CTO", "founder_bio": "Building https://interfaze.ai", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harsha-vardhan-khurdula-99b400183/", "x_url": "https://x.com/khurdula", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9136e9e55a80d9ebea288f0e36dc19b8d9bd272f.jpg" } ], "jobs": [ { "id": 107799, "title": "Applied AI Engineer & Researcher", "url": "https://www.ycombinator.com/companies/interfaze/jobs/LYxZ0kI-applied-ai-engineer-researcher", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $350K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "C++", "Rust", "Torch/PyTorch", "Docker", "CUDA", "Transformers" ] } ], "news": [], "launches": [ { "id": 99878, "title": "Interfaze - Deterministic AI for developer tasks: OCR, Object detection, Web scraping, STT, Classification and more", "tagline": "A new model architecture that outperforms SOTA LLMs on deterministic tasks that require high consistency and accuracy", "body": "![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/2310c230-6719-4913-ba16-43c8cab6c2d9)\n\n**tldr:** LLMs are built for human-in-the-loop tasks which are highly non-deterministic in nature. We built an AI model for tasks that require high accuracy and verifiable data you can build workflows around.\n\nInterfaze is an AI model built on a new architecture that combines specialized DNN+CNN models with transformers for developer tasks that require deterministic output and high consistency like:\n\n* Vision (OCR, Object detection, GUI) \n* Structured web extraction\n* Audio (STT, Diarization, Audio semantics)\n* Classification (Image, Text)\n* Web search and more\n\n**Try here:** \n\nIf you’ve ever tried to build a production application using LLMs for tasks like OCR, web scraping, or strict structured data extraction, you already know the pain: hallucinated keys, broken JSON, hidden inaccurate data and massive latency spikes.\n\nYou usually end up chaining multiple open source models together just to get a reliable result but face challenges with scaling or being stuck with outdated models from providers like AWS, Azure and GCP.\n\n**Model comparison**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/b270b0f5-76f2-4d11-808a-d31f7e977b07)\n\n_Check out the latest benchmarks on our site [here](https://interfaze.ai)._\n\n**OCR example for KYC**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/619ba060-a307-46b5-8101-601b03aaa1c4)\n\nBeyond higher accuracy, now you get additional data that allows you to both validate your data and build reliable pipelines as a developer.\n\nA subset of the additional metadata you get when you run an OCR task 👇\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/6f8e5580-492b-447f-bed4-c2cdc4470750)\n\n_Note: the confidence score value can be used to build verifiable systems. bounding boxes can be used to trace items for consistent tasks with guessing._\n\n**Web scraping for LinkedIn**\n\nWe all know how hard it is to scrape sites like LinkedIn, whether you are switching proxy providers, rewriting your scripts, or even getting your IP banned.\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/7ad5d97e-a076-4698-91bd-5da3dcd5ff22)\n\n\nInterfaze is trained to work with the browser infra beyond just looking at pure html like traditional LLMs. Allowing it to learn new work around, rotate proxies when needed and figure out how to scrape any site under 30 seconds.\n\n**GUI/Computer use - Filling a form**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/cc344350-9e10-446c-89ee-f6c8db3d5602)\n\n**Object Detection - Construction site equipment check**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/eb58811e-5a6d-4563-b666-538255f5b630)\n\n**Architecture**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/08c716d5-e2b5-487e-bade-c469013f1a5a)\n\nWe spent a year researching a new architecture to solve this problem. We just couldn’t accept that attention is all you need, we think you need a new interfaze 😉\n\nFull paper: (Accepted into IEEE CAI 2026)\n\n**Team**\n\n![uploaded image](/media/?type=post&id=99878&key=user_uploads/1618136/38e298b2-92cd-4476-8da0-913ba315bb75)\n\nI've been a developer and ML engineer for the past 8 years, working with ML models on the edge for real-world experiences like motion capture and navigation mapping to backend workflows like OCR, Web scraping pipelines, and more. Socials: [LinkedIn](https://www.linkedin.com/in/yoeven/?skipRedirect=true), [X](https://x.com/yoeven)\n\nHarsha has over 5 years of experience specializing in computer vision, reinforcement learning for SLMs, and AI research with multiple peer-reviewed papers. Socials: [LinkedIn](https://www.linkedin.com/in/harsha-vardhan-khurdula/), [X](https://x.com/khurdula)\n\nInterfaze X: \\\nInterfaze LinkedIn: \n\nSite: [https://interfaze.ai](https://interfaze.ai/)\n\nDocs: ", "url": "https://www.ycombinator.com/launches/Pyw-interfaze-deterministic-ai-for-developer-tasks-ocr-object-detection-web-scraping-stt-classification-and-more", "votes": 32, "created_at": "2026-04-20T15:59:34.348Z" } ] }, { "id": 31388, "name": "Elyra", "slug": "elyra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.png", "website": "https://www.elyrasystems.com/", "all_locations": "Stockholm, Stockholm County, Sweden", "long_description": "Elyra is an AI reservation system for restaurants. Instead of missing 40% of incoming phone calls and taking days to reply to emails, leaving over $100,000 in bookings on the table every year, restaurants get AI agents that answer every call and email instantly, 24/7, connected to a reservation system that optimizes table placements in real time so empty seats get filled with the right guests.\r\n\r\nFelix and Alan met in primary school in Stockholm and have been building things together ever since.\r\n\r\nWe launched with a single restaurant and within weeks they hit record occupancy, bookings they used to miss were suddenly being captured automatically, and empty Tuesday nights started filling up. Today we power top restaurants groups. \r\n\r\nThere are over 1 million restaurants in the US and Europe alone. The average restaurant loses $100K+ a year to missed calls and slow email replies. At our current pricing, that's a $10B+ market opportunity, and we're the only system that handles the call, the email, and the table allocation in one place.", "one_liner": "AI Reservation System for Restaurants ", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1776156708, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Sweden", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/elyra", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/elyra.json", "year_founded": null, "city": "Stockholm", "country": "SE", "linkedin_url": "https://www.linkedin.com/company/elyrasystems", "x_url": "https://x.com/elyrasystems", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dfc0518b0601b15bf131b045d7c9085b3ab4ac5e.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": 2444964, "full_name": "Felix Odeberg Glasenapp", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Elyra. Studied Engineering Physics at KTH. Built Elyra after seeing restaurants lose hundreds of thousands in bookings to missed calls and slow email replies.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/felixoglasenapp/", "x_url": "https://x.com/FelixOG_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c4c01cc9d3d06dfcd9484ae22bfac083f5890cf.jpg" }, { "user_id": 2774754, "full_name": "Alan Mando", "title": "Founder", "founder_bio": "Co-Founder at Elyra (YC P26)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/awmando/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3729f963bf9dbc62035bbd0bd25807a78a660f9e.jpg" } ], "jobs": [ { "id": 105845, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/elyra/jobs/butuYZH-founding-engineer", "location": "Stockholm, Stockholm County, SE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "TypeScript" ] } ], "news": [], "launches": [ { "id": 101421, "title": "Elyra | AI Reservation System for Restaurants", "tagline": "AI Agents handling every call, email, and booking for restaurants.", "body": "\\\n**Elyra is the AI reservation system for restaurants.**\n\nWe’re building AI agents that answer every phone call and email instantly, connected to a reservation system that optimizes table placements in real time. Already powering top restaurant groups.\n\n[**https://youtu.be/dqK4bC1eBVM**](https://youtu.be/dqK4bC1eBVM)\n\n[Book a demo →](https://www.elyrasystems.com/demo)\n\n**The Problem**\n\nImagine running a store where 4 out of every 10 customers walk up, find the door locked, and leave.\n\nThat's how restaurants operate today.\n\n40% of incoming phone calls go unanswered. Emails sit for days. This leads to high-value bookings getting lost: large groups, private events, special occasions, corporate dinners. The bookings that fill slow Tuesday nights and turn an average month into a great one.\n\nRestaurants run on thin margins and one missed call can mean a €2,000 group booking lost to a competitor. Over a year, the average mid-sized restaurant leaves more than $100,000 on the table simply because no one answered in time.\n\nYet the entire industry still relies on waiters manually handling calls and emails during service. Staff get overwhelmed, emails get buried, and the reservation systems on the market do nothing to fix it. They're glorified calendars.\n\n**The Solution**\n\nElyra is the AI reservation system for restaurants. Three things, working together:\n\n* **Voice agent:** Answers every phone call. Handles all reservations, modifications, and questions about the menu, dietary requirements, and policies.\n* **Email concierge:** Replies to every email instantly, in the restaurant’s tone of voice. Large groups, special requests, and follow-ups handled.\n* **Smart table allocation:** Fit more guests in the restaurant. Optimizes table placements in real time while placing guests at the tables that fit them best.\n\nEvery call, email, and booking becomes a data point that makes the next visit better, turning first-time guests into regulars.\n\n**Why It Matters**\n\nHere's what our users say:\n\n_\"Some regulars thought we hired a new waiter.\"_\n\n_\"We made back a year's cost in two weeks.\"_\n\n_\"Aha, this is what AI should feel like.\"_\n\nWaiters can finally focus on the guests in front of them instead of a ringing phone. Managers see the bookings they used to lose close automatically. Owners get empty tables filled, margins back, and guests returning.\n\nElyra is already live across multiple restaurant groups, with new venues seeing record occupancy within weeks of launch.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=101421&key=user_uploads/2444964/31471be3-73f3-43ef-bf57-565b801d42cc)\n\nElyra was founded by **Felix Odeberg Glasenapp** and **Alan Mando**, who met in primary school in Stockholm and have been building things together ever since. Felix studied Engineering Physics at KTH. Alan studied Business at WU Vienna.\n\nTo build Elyra, the founders spent weeks inside restaurants, taking phone calls, standing at the waiters stand, and watching service unfold. Every product decision came from that.\n\n**See Elyra in Action**\n\n[Book a demo ](https://www.elyrasystems.com/demo)|[ ](https://elyrasystems.com)[elyrasystems.com](http://elyrasystems.com)", "url": "https://www.ycombinator.com/launches/QNp-elyra-ai-reservation-system-for-restaurants", "votes": 13, "created_at": "2026-05-16T18:46:24.476Z" } ] }, { "id": 31390, "name": "Wealor", "slug": "wealor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b24805f90c326649a050015bbd590a7ce2f86c5c.png", "website": "https://wealor.ai/", "all_locations": "Paris, Île-de-France, France", "long_description": "", "one_liner": "AI-native platform for wealth managers", "team_size": 0, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779951603, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/wealor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/wealor.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/111953568/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b24805f90c326649a050015bbd590a7ce2f86c5c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3c5b6ab1bafce746a6634870dcfe986b0e465f6c.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2693699, "full_name": "Karim Bouri", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Wealor\nPreviously structured private investments for wealth managers.\nML & software engineer trained at UC Berkeley, École Polytechnique, HEC Paris, and ENSAE Paris. Top 13 African table tennis player and former #1 in Morocco.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/karim-bouri-7a570824a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/47718fabb055bfc29b4b0d5392a3f9340828f4d0.jpg" }, { "user_id": 3331290, "full_name": "Pierre Depuydt", "title": "Founder/CTO", "founder_bio": "Founder at Wealor (YC P26). French Math Olympiad winner. Studied at École Polytechnique, X-HEC Entrepreneurs, and UC Berkeley. Former Deputy Section Chief in the French military, leading training programs in Guadeloupe. Previously worked in strategy consulting at Boston Consulting Group and in finance and advanced data analytics at Tiffany & Co.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pierre-depuydt-887779280", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5913dd6572c29e3f5a480054a9c618e267a1d04.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102090, "title": "Wealor : The AI Native platform for wealth managers", "tagline": "The institutional brain that runs your firm ", "body": "**TL;DR** \\\n\\\nWealor is building the AI-native platform for wealth managers, a centralized source of truth across wealth management, tax, and legal, with AI agents that automate operational work directly across legacy systems.\\\n\\\n\\\n\\\n**The Problem**\n\nOver $90T of wealth is managed on infrastructure built decades ago.\\\n\\\nWhen Karim spent extended time inside wealth management firms, he saw advisors spending hours every day reconciling client information across disconnected systems just to maintain a reliable view of the client and still failing. Most vendors solved isolated operational pain points. But the real problem is organizational: client knowledge lived inside people’s heads, not inside the firm itself. When advisors or operations teams left, years of context, workflows, and expertise disappeared with them. Firms operated with multiple conflicting versions of the same client data, but no true source of truth.\n\nFor this reason, most advisors were spending 80% of their time on back-office work and 20% with clients. It should be the other way around.\n\n**Our Solution**\n\nWealor creates a centralized, queryable source of truth for every client across the firm by capturing data from conversations, financial documents, tax returns, legal documents, custodial systems, and internal workflows.\n\nSpecialized AI agents then use this knowledge layer to automate operational work directly across legacy systems through APIs and browser automation.\n\nIn practice:\n\n* Reconcile client information across emails, meetings, CRMs, custodians, tax, legal, and operational systems, even when no APIs exist\n* Give advisors one intelligence layer with full client context across wealth, tax, legal, estate, insurance, and family relationships\n* Execute account opening, client subscriptions, tax optimization analysis,  trade rebalancing and generation of billable client plans directly across partner portals and internal systems using APIs and browser automation\n* Automate CRM updates, follow-up emails, onboarding, compliance, reporting, signatures, billing, and document drafting after every meeting\n\nWith Wealor, advisors get their time back. The 80/20 flips while firms finally gain infrastructure they can scale on reliably.\n\n**Why We Started Wealor**\n\nKarim Bouri structured private investments and watched advisors turn down high-performing products, not because they weren't right for clients, but because the back-office work to implement them was too heavy. Clients ended up with the easiest products to process, not the best ones. That left a mark.\n\nHe decided to tackle the problem with longtime friend Pierre Depuydt, former BCG consultant, gold medal winner of the French Math Olympiad, and builder of high-volume financial data systems at Tiffany & Co. Pierre knows exactly what it takes to bring fragmented data, client knowledge, financial information, tax and legal context, into one coherent system. That is precisely what Wealor is built on.\n\n**Our Ask**\n\nWe're looking to connect with RIAs, multi-family offices, trust companies, and tax and estate planning firms.\n\n", "url": "https://www.ycombinator.com/launches/QYc-wealor-the-ai-native-platform-for-wealth-managers", "votes": 25, "created_at": "2026-05-29T01:19:53.534Z" } ] }, { "id": 31391, "name": "HEVN, inc", "slug": "hevn-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9670403b854641364928ce34e110c0d9752c9d8d.png", "website": "https://gethevn.com", "all_locations": "San Francisco, CA, USA", "long_description": "HEVN is a B2B financial platform built for global commerce. We solve the last-mile problem in cross-border payments by working with licensed local payment service providers and settling transactions through domestic payment rails instead of relying on international bank transfers.\r\n\r\nHEVN helps importers and exporters move money between jurisdictions with fewer intermediaries and faster, more predictable settlement. ", "one_liner": "Cross-border payments for exporters of physical goods.", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1777498705, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hevn-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hevn-inc.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hevn", "x_url": "https://x.com/hevn_finance", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9670403b854641364928ce34e110c0d9752c9d8d.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": 968436, "full_name": "Peter Volnov", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ HEVN, ex co-founder HOT Labs - Web3 infrastructure company behind a 15M-user wallet, and HERE Wallet - mobile wallet for NEAR Protocol (1M+ app downloads).", "is_active": true, "linkedin_url": "https://linkedin.com/in/pvolnov", "x_url": "https://x.com/p_volnov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f4c4d7110ba29f0675d1dbcd3f09ede71746df0e.jpg" }, { "user_id": 1165920, "full_name": "Nik Briuzgin", "title": "Founder/CPO", "founder_bio": "CPO & Co-founder at HEVN, ex co-founder HOT Labs, ex design lead at Zurp, ex product design at Humble Team", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikitadigital", "x_url": "https://x.com/Nikitadigital10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0f0bd80cca4d61e0588d6364a0c48a452a1f7de2.jpg" }, { "user_id": 3421444, "full_name": "Pavel Mitsevich", "title": "Founder/CMO", "founder_bio": "Co-founder and CMO at HEVN. Former CMO at HOT Labs, where I helped scale a crypto wallet to 15M MAU and become #1 crypto app by users for 8 month, with 1.2M followers on YouTube. I joined HOT Labs as CMO in 2022, leading marketing, support, and operations, and later became a co-founder. Now we are building HEVN together.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pasha-mitsevich-a417682a0/", "x_url": "https://x.com/mywonder_here", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e7d0d568f57a46a101f71ffa84832659da5fdbdc.jpg" }, { "user_id": 3421425, "full_name": "Andrei Zhevlakov", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at HEVN. Ex CTO at HOT Labs, where he built infrastructure that secured wallets for 15M users and $100M+ TVL. Ex CTO at HERE Wallet and Software Engineer at Dasha AI. Got my first Software Engineer job when I was 15. CS at ITMO University. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/azbang", "x_url": "https://x.com/azbang_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e449fdbeeb5f679444669ed5190965109055e3a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100557, "title": "HEVN: Brex for Non-US Internet Companies", "tagline": "Operate in USD — without needing a US entity.", "body": "**HEVN: Brex for non-US companies**\n\n\\*\\*Tl;Dr;\\*\\*\\\nBanking for non-US internet companies is hard. HEVN provides an alternative: open virtual bank accounts in 1 day, get USD cards with 0% FX, and send/receive ACH, SEPA, wires, and USDC.\n\n**The problem**\n\nFor non-US companies, USD banking takes months, requires travel, and often breaks after the first transactions — making it hard to get paid via Stripe, Apple, or run global payroll.\n\nIn practice:\n\n* 2-20 weeks to open an account in UAE or Hong Kong\n* Founders have to fly in-person just to pass KYC\n* $20K+ per year in legal and banking fees\n* Accounts get frozen after first SWIFT transfer\n* Visa charge 2-3% FX fee on USD payments\n\n**At the same time, Brex, Ramp, and Mercury only support US companies with an EIN.**\n\n**What HEVN does**\n\nHEVN is a B2B financial platform that lets global internet companies operate in USD — without needing a US entity.\n\n* Run your business in USD with corporate cards and global payments with 0% FX fees\n* Get named local accounts in EU, US, HK and UAE banks in 1 day\n* Send and receive ACH / SEPA / USDC / wires worldwide\n* (soon) Store USD in FDIC-insured US accounts, even without an EIN\n\n**Video Launch**\\\n\n\n**Backstory**\n\nWe previously built HOT Labs, a Web3 infrastructure company behind a 15M-user wallet.\\\n\\\nWhile operating globally, we kept running into the same problem: banking didn’t work.\n\n* One of us spent 6 months opening a UAE account — only to face an AML check right after the first transaction\n* Another had to fly twice just to open an account\n* We paid \\~$24K/year through a law firm just to maintain banking access — without card support\n\nWe worked with dozens companies, and most of them ended up using stablecoins because traditional banking failed. Now 12 of them - our customers.\n\nWe built HEVN to help global internet companies focus on running and scaling their business, with the same access to US financial services as US companies.\n\nToday, we’re fully ready to serve cumpanies in the UAE and are looking to onboard pilot customers in Hong Kong and Singapore.\n\n**Asks**\n\n* **Do you know any non-US internet company?** - maybe a design studio in Serbia, marketing agency in Hong Kong, or a law firm in the UAE. All of them can start receiving local payments via ACH and run global payrolls.\n* **Did you work at Stripe or Apple Store before?** Any introductions to the team that could help us set up Stripe/Apple payouts to virtual bank accounts would be very helpful.\n* **Are you a YC company based internationally?** you can use HEVN for global baking or stablecoins **completely free**\n\n**Book a demo** or contact: [pv@hevn.finance](mailto:pv@hevn.finance)\n\n![uploaded image](/media/?type=post&id=100557&key=user_uploads/968436/18fbf365-ad30-4e9f-a31e-a38c10a2a146)\n\n_\\*\\* HEVN is a financial technology company, not a bank. Banking services are provided by regulated partner institutions._", "url": "https://www.ycombinator.com/launches/Q9t-hevn-brex-for-non-us-internet-companies", "votes": 14, "created_at": "2026-04-30T00:14:11.329Z" } ] }, { "id": 31393, "name": "KelAI", "slug": "kelai", "former_names": [ "KelAI", "KelAI Capital", "KelAI", "KELAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.png", "website": "https://kelaitech.com/", "all_locations": "New York City, NY, USA", "long_description": "Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. \r\n\r\nInvestment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.", "one_liner": "The AI Quant: Autonomous Alpha Engine for Funds and Traders.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779077553, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/kelai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kelai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kelai-capital/", "x_url": "https://x.com/kelaicapital", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/173bcf6c0b9d00045db94da34f174baaafeb2255.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": 3403044, "full_name": "Jeremie Cohen", "title": "Founder/CEO", "founder_bio": "Founder and CEO of KelAI. Managed a large global systematic equity book at WorldQuant and lead an ML team at Millennium Management. Nuclear engineer by training.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeremcoh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cc70ed680139ff8181aad82080c0ab8cadaad37.jpg" } ], "jobs": [ { "id": 99248, "title": "Applied AI Engineer", "url": "https://www.ycombinator.com/companies/kelai/jobs/kQn2Z4d-applied-ai-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$130K - $215K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99249, "title": "Quant Researcher", "url": "https://www.ycombinator.com/companies/kelai/jobs/iXYw0MB-quant-researcher", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "$150K - $200K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 99250, "title": "Senior Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/kelai/jobs/Pposw25-senior-infrastructure-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$170K - $220K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 03, 2026" } ], "launches": [ { "id": 102015, "title": "KelAI - Autonomous AI research engine for hedge funds", "tagline": "An agentic AI platform that turns hedge fund research into a compounding system.", "body": "**TL;DR**\n\nKelAI is an AI research engine for hedge funds and institutional investors. It captures the full investment research process in one platform and runs it autonomously, from idea generation to data analysis, backtesting, validation, monitoring, and PM feedback.\n\nI spent six years at WorldQuant managing a large systematic equity book, and before that led machine learning at Millennium Management. I saw firsthand how hedge fund research is constrained by human throughput and lost context. Teams can only explore so many ideas, and much of what they learn gets scattered across siloed systems. I am building KelAI because I lived this problem.\n\nKelAI uses AI agents to turn research into a continuous loop, while keeping every new idea grounded in the fund’s knowledge base.\n\n[](https://www.youtube.com/watch?v=GyqGwltsNjk)\n\n**The Problem**\n\nHedge funds scale with research capacity, but scaling with headcount is expensive and hard.\n\nEvery PM wants more ideas tested, more datasets explored, more hypotheses validated, and more live signals monitored. But even great teams are limited by human bandwidth.\n\nAt the same time, the knowledge they gather is fragmented:\n\nA PM has an idea in a meeting.\n\nA researcher backtests it in their research environment.\n\nA test fails for a useful reason.\n\nA signal works in one universe but not another.\n\nA live model decays.\n\nA risk constraint evolves.\n\nA CIO gives feedback.\n\nThese are all valuable sources of information, but they live across emails, notebooks, chats, dashboards, backtests, meetings, and memory. Most of that context gets lost. Teams repeat work, miss old lessons, and lose institutional knowledge when people move on.\n\n**The Solution**\n\nKelAI unifies the research loop into one continuous workflow, empowering institutional investors with an AI research team they can scale on demand, while capturing the full context so every cycle improves the next one.\n\nIt connects to a fund’s data, mandate, universe, risk rules, and research history. \\\nThen AI agents run the full research process autonomously:\n\n\\- Generate trading signal ideas.\n\n\\- Write and test research code.\n\n\\- Analyze market, fundamental, proprietary, and alternative data.\n\n\\- Run backtests and validation.\n\n\\- Track why ideas worked or failed.\n\n\\- Monitor live signal performance.\n\n\\- Learn from PM feedback and prior research.\n\nKelAI does not remove humans from the loop. PMs still manage the portfolio and own the decisions. \n\n**Why Now**\n\nAI agents can now do more than answer questions. They can write code, query data, run long workflows, test hypotheses, and keep context across repeated research cycles.\n\nThat matters in hedge funds because alpha is not just one idea. It is the process of finding, testing, improving, rejecting, and combining many ideas over time.\n\nKelAI turns that process into software.\n\n**Why Us**\n\nThe hard part is not saying \"AI for hedge funds.\" The hard part is knowing how hedge fund research really works.\n\nI built KelAI from experience. I managed a large systematic equity book at WorldQuant, worked on machine learning at Millennium Management and worked on data engineering at SolveBio.\\\nI have spent my career building systems that turn data into decisions.\n\nKelAI is designed around the real workflows of institutional investors: data rights, IP boundaries, risk limits, research output, reporting language, and portfolio manager preferences.\n\n**Traction**\n\nKelAI has been deployed with an institutional investor, and its signals have been running since October 2025, demonstrating that it delivers valuable alpha in production. KelAI also has commitments from prominent institutional players and is in active conversations with several large hedge funds and financial institutions.\n\n**Ask**\n\nIf you run capital, research, data, or innovation at a hedge fund or institutional investment firm, I would love to talk.\n\nWe are also hiring senior ML engineers and quant engineers who want to build the autonomous research engine for markets.\n\nEmail us at [contact@kelaicapital.com](mailto:contact@kelaicapital.com).\n\nFor job applications visit ", "url": "https://www.ycombinator.com/launches/QXP-kelai-autonomous-ai-research-engine-for-hedge-funds", "votes": 43, "created_at": "2026-05-27T13:24:07.670Z" } ] }, { "id": 31395, "name": "Deep Interactions", "slug": "deep-interactions", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2150b2f6e149aef04ef65b7381c3bd0b77037221.png", "website": "https://deepinteractions.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Deep Interactions is a collaborative AI builder. We don't leave you with a spaghetti mess of a code. We bring product intelligence and power the context layer that enables your team to build in sync - saving companies tokens, time, and nerves. You give us a problem and we ship a working AI product in the same afternoon.\r\n", "one_liner": "Collaborative AI app builder for teams", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778970590, "tags": [ "Developer Tools", "Collaboration", "Design Tools", "No-code", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/deep-interactions", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/deep-interactions.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/deep-interactions", "x_url": "https://x.com/deepintxns", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2150b2f6e149aef04ef65b7381c3bd0b77037221.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": 3138588, "full_name": "Sruthi Viswanathan", "title": "Founder/CEO", "founder_bio": "Founder at Deep Interactions (YC P26). PhD in Computer Science from Oxford. Prev. Built : AI Trainer as CTO at The Spaceship AI, AI Scientist at Autoscience Institute & AI Therapist at Limbic AI. Was Research Scientist at NAVER LABS Europe and Google. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sruvis", "x_url": "https://x.com/_sruvis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4593a7424e64f74828b20e0f15f5d406e007a3e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101487, "title": "Deep Interactions — Collaborative AI Builder for Teams", "tagline": "We turn messy ideas, data, and agents into shipped products before your team logs off.", "body": "Hello! I'm [Sruthi Viswanathan](https://www.linkedin.com/in/sruvis/), founder of [Deep Interactions](https://www.deepinteractions.ai).\n\n### TL;DR\n\n### **Deep Interactions is a collaborative AI builder for teams. We turn messy ideas, data, and tools into working AI products in a single afternoon — so companies stop burning months and millions on pilots that never ship.**\n\n**_Ask:_** Intros to CEOs, CTOs, COOs, CFOs, or Heads of AI with an initiative stuck in pilot purgatory — especially in healthcare, fintech, consumer, applied AI, and ops-heavy businesses. → [sruthi@deepinteractions.ai](mailto:sruthi@deepinteractions.ai)\n\nLaunch video: \n\n### The Problem\n\nProduct development hasn't changed in 20 years. Write a PRD, throw it at engineering, hope it matches what users actually need.\n\nNow teams have layered AI on top: vibe-coding through the night, stitching prompts, tools, and agents. Same problem, faster and more expensive:\n\n* Burned tokens\n* Burned out teams\n* Spaghetti code that still misses the customer\n\n**95% of businesses walk away from their AI pilots. Hundreds of billions in wasted AI spend, every year.**\n\nThe bottleneck isn't models or prompts anymore. It's shared understanding of the customer, the product, and the codebase. Until now, there was no way to keep humans, agents, and code in sync as a product is being built. With today's reasoning models and multi-agent orchestration, couple with situated context, there is.\n\n### Our Solution\n\nYou bring the problem. We ship the product the same afternoon — alongside your team, inside the tools they already use (Slack, Figma, GitHub, Vercel, Supabase, You name it).\n\nWe don’t leave you with a spaghetti mess of a code. We bring product intelligence and power the context layer that enables your team to build in sync.\n\nAlready live with **12 businesses and 50k+ real-world usage hits.** Saving companies months of work and millions in AI spend.\n\n![uploaded image](/media/?type=post&id=101487&key=user_uploads/3138588/8b1080f6-4249-41e9-856c-626cee704905)\n\n\n### **How can you help?**\n\nIf you can warmly introduce us to any of the following, I'd be grateful:\n\n* **Operators** with a stuck AI initiative (Heads of AI, CPOs, CTOs, VPs of Engineering)\n* **Healthcare & wellness** companies looking to ship patient- or clinician-facing AI\n* **Consumer** companies (dating, fitness, fertility, social) ready to put AI in the product, not just the pitch deck\n* **Applied AI startups** burning tokens on coding agents that don't ship\n* **Angels and operators** who've shipped AI products at scale\n\nPlease contact me at [sruthi@deepinteractions.ai](mailto:sruthi@deepinteractions.ai)\n\n### Team\n\nI'm a Human-Centred AI researcher and DPhil in Computer Science at Oxford, with cutting-edge experience across Big Tech, AI labs, startups, and academia — spanning software engineering, UX, ML, and AI research. Recognised by 100 Women in AI (2025).\n\nAround me: a founding AI designer reshaping how humans and agents collaborate, a founding engineer with decades in production systems, and GTM operators who's built customer success from zero. Advised by leading Human-Centred Computing professors, AI scientists, and brilliant Angels.\n\nI started Deep Interactions because I kept watching brilliant teams ship broken AI. The future of AI work isn't more prompts — it's better human-AI collaboration.\n\nBook a call → 🕷️ [www.deepinteractions.ai](http://www.deepinteractions.ai)\n\n![uploaded image](/media/?type=post&id=101487&key=user_uploads/3138588/0004eb4a-4f58-4ffe-849a-c746c2d9c01c)\n\n", "url": "https://www.ycombinator.com/launches/QOt-deep-interactions-collaborative-ai-builder-for-teams", "votes": 98, "created_at": "2026-05-18T03:36:32.000Z" } ] }, { "id": 31398, "name": "Pavoot", "slug": "pavoot", "former_names": [ "Pavoot (formerly capturecore)" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/085aa6b975fc26df4bd975cbb1ee82cc22f514a2.png", "website": "https://pavoot.com", "all_locations": "San Francisco, CA, USA", "long_description": "Pavoot is an AI event manager for companies that run in-person customer events.\r\n\r\nMore and more companies are investing in dinners, summits, and community events because relationships drive revenue. But today, running events means sourcing attendees, sending invitations, hosting the event, and then manually digging through notes, emails, and spreadsheets afterward to figure out who attended, what was discussed, who is a strong lead, and who should be followed up with. Most teams either send generic \"thanks for coming\" emails or never properly capture the value created during the event.\r\n\r\nPavoot replaces this fragmented workflow with a single AI system that keeps every attendee, interaction, conversation, and follow-up connected in one place, making relationship-driven growth scalable.\r\n\r\nGohar and Ana met while studying Computer Science at ETH Zurich. Gohar is a six-time Swiss chess champion and was the youngest member of Switzerland’s national chess team at age 13. Ana won more than 20 medals in scientific Olympiads, ranked 1st in CS at Latin America’s most competitive university, and built internal AI systems used by hundreds of data scientists at some of the largest banks in Latin America before moving to ETH Zurich for AI research.\r\n\r\n===\r\n\r\nBook a demo: pavoot.com", "one_liner": "AI Event Manager for in-person events", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1778084784, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pavoot", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/pavoot.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pavoot/", "x_url": "https://x.com/pavoot_com", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/085aa6b975fc26df4bd975cbb1ee82cc22f514a2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6d4786080fe5543052210948b2a404775f09ee6a.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2780820, "full_name": "Gohar Tamrazyan", "title": "Founder", "founder_bio": "6× Swiss Chess Champion by age 16, youngest member of Switzerland's national chess team at age 13. Studied Computer Science @ ETH Zurich, one of the top 5 universities in the world for CS. Speak 7 languages.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gohar-tamrazyan-401860293", "x_url": "https://x.com/gohar_tamrazyan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3796bf138c84cdbf61a49aa95c690d15682aa68.jpg" }, { "user_id": 1128837, "full_name": "Ana Yoon Faria de Lima", "title": "Founder", "founder_bio": "20+ Scientific Olympiad medals. CS at ETH Zurich. Ranked 1st in Computer Science at USP, the most competitive university in Latin America (both in the entrance exam and in my graduating class). Previously an AI Engineer at BTG Pactual and Itaú Unibanco.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ana-yoon-faria-de-lima", "x_url": "https://x.com/anayflima", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb80ce47b4f656474ee36bb60910872a233a9c42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100894, "title": "Pavoot: Create event experiences that convert", "tagline": "AI that turns events into pipeline", "body": "**TL;DR**\n\nPavoot is an AI agent for events that helps marketing and sales teams source the right attendees, personalize each guest’s experience, and turn events into pipeline.\n\nCompanies spend millions on events because relationships drive revenue. Yet most interactions are never captured, event experiences remain generic, and standard follow-ups fail to convert high-potential attendees.\n\n**Ask:** Tell us what your event is trying to achieve. We’ll help you bring the right people, organize the event around them, and turn those relationships into pipeline: \n\nOur Launch Video: \n\n## **Problem**\n\nWhen companies organize events, they keep running into the same problems:\n\n* attendee sourcing is manual and fragmented\n* the best leads are hard to identify from hundreds of interactions\n* post-event follow-up takes days or weeks\n* CRM data is incomplete\n* marketing and sales work across tools that do not talk to each other\n* personalization doesn’t scale\n* nobody has a clear picture of event ROI\n\n## **Solution**\n\nTell Pavoot the goal of your event.\n\nPavoot helps you bring the right people into the room, create experiences around what they care about, and turn every conversation into next steps.\n\n### **Before the event, Pavoot...**\n\n* Identifies attendee profiles most likely to convert\n* Enriches each profile with CRM context and public data\n* Sends personalized invitations that feel relevant, not generic\n\n### **During the event, Pavoot...**\n\n* Organizes personalized meetups, sessions, lunches, and networking experiences\n* Helps teams understand exactly who is in the room \n* Captures important conversations and insights in real time\n\n### **After the event, Pavoot...**\n\n* Identifies the top leads from hundreds of interactions\n* Generates personalized follow-ups based on real conversations\n* Turns interactions into meetings and pipeline\n* Syncs engagement and context into your CRM.\n\n**Turn events into personalized customer journeys**. If your company hosts events and cares about ROI, we should talk: \n\n![uploaded image](/media/?type=post&id=100894&key=user_uploads/1128837/a7bc19e4-dd6d-4bd0-a3c6-788dd47914f5)\n\n", "url": "https://www.ycombinator.com/launches/QFK-pavoot-create-event-experiences-that-convert", "votes": 183, "created_at": "2026-05-06T17:23:03.669Z" } ] }, { "id": 31399, "name": "Madrone", "slug": "madrone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "website": "https://madrone.cool/", "all_locations": "San Francisco, CA, USA", "long_description": "Madrone builds cooling systems for data centers. In Texas, where most new sites are, Madrone can cool using 30% less power and water, thanks to novel dew-point cooling technology. ", "one_liner": "Hyper-efficient coolers for data centers", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1778520435, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/madrone", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/madrone.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/madrone-labs/", "x_url": "https://x.com/madronelabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1e3bc19e9055d8345250c7f097d06dc514f21674.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f23192662de78c6755d9ba2266dc5baa90714e50.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2118032, "full_name": "Akshay Trikha", "title": "Founder/CEO", "founder_bio": "Founder/CEO at Madrone, where I'm making data center cooling more efficient. Prev. trained models with millions of inferences at QuantumScape, and to predict material properties at Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akshay-trikha/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fae3e8340071c5ca8b3e7d8b2e79afceaf91af14.jpg" }, { "user_id": 3203409, "full_name": "Erik Meike", "title": "Founder/CTO", "founder_bio": "Founder at Madrone (YC P26). Previously Hardware Development Engineer at Apple, working on iPhone wireless power technologies across multiple years. Started career with early-stage hardware/robotics experience at JITx (automated PCB design) and PRENAV (autonomous quadcopter monitoring). Harvey Mudd Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/erikmeike/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/debd70cbe130494ba1ef7530ef78820d6aa757cc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101247, "title": "Madrone - chiller-less cooling for desert data centers", "tagline": "Madrone builds efficient cooling without installing a chiller, saving tens of millions of dollars per facility.", "body": "Hey everyone!\n\nWe’re [Akshay](https://www.linkedin.com/in/akshay-trikha/) and [Erik](https://www.linkedin.com/in/erikmeike/), the founders of [Madrone](https://madrone.cool).\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/aef61dad-d700-4244-bc3a-096c61aaba81)\n\n**TLDR;** Giant data centers are being built in the desert and need better cooling. Madrone builds modular cooling systems that chill water to the dew point, slashing power usage and deploying fast.\n\n**Problems**\n\n* Data centers are limited by power availability, not chips or land\n* Up to 30% of facility power is diverted to cooling instead of GPUs\n* Data centers are being built in the desert, where cooling is hard\n* Grid permits are backlogged for years (efficient cooling unlocks more compute)\n\n**Our Solution**\n\nWe’re building a facility water cooling system that cools to the dew point (lower than competitors) while using less power and water. Our system is modular and designed to be fabricated and installed as quickly as possible to accelerate our customers' time to deployment.\n\nEvery 1% of cooling efficiency = $2.6 million more GPU revenue / 100 MW / year. That means Madrone’s cooling efficiency saves $78 million / 100 MW / year.\n\nHere’s our 1kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/bd66a088-4246-438d-ac59-570015655e80)\n\nHere’s us building our 100kW prototype:\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/9d94b343-6f27-4b97-ab66-bd5345fb2581)\n\n**We’re full stack**\n\nWe design everything from the electronics, to the heat exchangers, to the software in-house to squeeze every watt of performance. Erik spent 4 years at Apple designing power & thermal systems for the iPhone. Akshay built ML systems running 1M+ inferences/month at QuantumScape.\n\n![uploaded image](/media/?type=post&id=101247&key=user_uploads/2118032/39751a33-4b7a-4726-9c37-00d2f6d2b410)\n\n**Ask:** If you're building data centers, we'd love to work with you. \n\n**Contact:** [hello@madrone.](mailto:hello@madrone.dev)cool", "url": "https://www.ycombinator.com/launches/QL1-madrone-chiller-less-cooling-for-desert-data-centers", "votes": 27, "created_at": "2026-05-12T15:57:02.621Z" } ] }, { "id": 31400, "name": "shotwell.ai", "slug": "shotwellai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.png", "website": "http://shotwell.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Shotwell AI is building the data QA layer for dexterous robotics. We work with teams collecting teleoperation and egocentric data to provide dense semantic annotation and validate task adherence. This lets teams compress feedback loops from weeks to hours and iterate on models much faster.", "one_liner": "Annotations for robotics data", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1780340127, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/shotwellai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/shotwellai.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/shotwell-ai", "x_url": "https://x.com/ShotwellSt", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/31e129a3b1f344b0b01705a950c37b68af60a957.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": 1249194, "full_name": "Farhan Khan", "title": "Founder/CEO", "founder_bio": "Previously worked on humanoid robots at Sunday Robotics and self-driving cars at Tesla", "is_active": true, "linkedin_url": "https://linkedin.com/in/fkhan0520", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2d1ea27b54f3adb7693664f3a1426030c46f19d.jpg" }, { "user_id": 324918, "full_name": "Ali Abdalla", "title": "Founder", "founder_bio": "Previously: co-founded Gradio which was acquired by Hugging Face and used by >1M developers a day, Tesla, MIT. ", "is_active": true, "linkedin_url": "http://linkedin.com/in/aliabd", "x_url": "https://x.com/si3luwa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2a3f6c0503be91b9c0710284ea7c10fe29d97ab9.jpg" }, { "user_id": 324948, "full_name": "Ali Abid", "title": "Founder/CTO", "founder_bio": "Previously found Gradio (acq. by HuggingFace)\nNow interested in robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aabid94/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af052e6fb3142dcd4cff1ce1eec43bb8e4a3861d.jpg" }, { "user_id": 1374486, "full_name": "Nour Eldifrawy", "title": "Founder", "founder_bio": "Currently working on unlocking robotics teams. \nFormerly @ Merge.dev, Roblox, Tarjimly (yc w18)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noureldifrawy", "x_url": "https://x.com/neldien_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/780009444788c8eb9e06c878df184c0d04add76d.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31402, "name": "Standout", "slug": "standout", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cae3b4c599e9e6ff92522ffbf541670c1a97669.png", "website": "https://standout.work", "all_locations": "San Francisco, CA, USA", "long_description": "Standout gives every talent and company an autonomous agent that represents them, assess the other side, and makes intros when it matters.\r\n\r\nWhy it matters? Because this is hiring today:\r\n- Talent use AI to apply to 100s of jobs - this is spam.\r\n- Founders/Recruiting send 100s of AI-generated messages to hire the same talent - this is spam.\r\n\r\nThis has to stop.\r\n\r\nTalent stays fully anonymous until they accept an intro. The best way for passively exploring the market and not missing a life changing opportunity.\r\n\r\nIn 1 month, 10k talent / 60 companies / 100 intros.", "one_liner": "Agentic hiring marketplace", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Recruiting and Talent", "launched_at": 1773415057, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Recruiting and Talent" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/standout", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/standout.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/standoutwork", "x_url": "https://x.com/standoutwork", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0cae3b4c599e9e6ff92522ffbf541670c1a97669.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": 2886794, "full_name": "Alexis Aftalion", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Standout. \nPreviously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexisaftalion", "x_url": "https://x.com/alexisaftalion", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27a8f4f2414687455fd2b531a9e0b54a982bc62f.jpg" }, { "user_id": 1349620, "full_name": "Witold de La Chapelle", "title": "Founder/CRO", "founder_bio": "Co-Founder & CTO @ Standout\nBuilt a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/witold-dlc/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b88168a15c629ba6eeac416dd6b5b416cc51612.jpg" } ], "jobs": [ { "id": 94229, "title": "Founding AI Product Engineer", "url": "https://www.ycombinator.com/companies/standout/jobs/IHasdYq-founding-ai-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $240K", "equity_range": "1.00% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 102879, "title": "Founding Sales / Talent Scout", "url": "https://www.ycombinator.com/companies/standout/jobs/qyvBuwy-founding-sales-talent-scout", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$170K - $220K", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102530, "title": "Standout - A Talent Agent For Builders", "tagline": "An autonomous agent doing intros between talent and startup founders from 1 single command", "body": "**TL;DR:** Standout is a CLI that assesses how you actually build, then gets you introduced to the startups worth your next move.\n\nYou don't upload a resume. \n\nYou open your terminal, type 1 command **‘npx standout’** and show your work. \n\nThe CLI evaluates how you think, build, and debug, and turns that into a verified signal of what you can really do. When a role fits, your agent makes the intro. \n\nFree for talent, success-only for companies.\n\n\n\n**The Product:** **a CLI that proves you**\n\nResumes and LinkedIn are proxies. They tell a company what you claim, never what you can do. So we moved the assessment to where the work actually happens: the terminal.\n\nRun Standout in your CLI and it evaluates real skill, how you approach a problem, how you build, how you challenge AI. The output isn't a score on a test. It's a living profile of your capability that no resume can fake and no keyword filter can bury.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/22a37a4e-49e2-4da9-a649-9f7f04a2a78c)\n\nThat profile is the product. Everything else follows from it.\n\n**The CLI is what makes the intro real**\n\nOnce you're assessed, an autonomous agent represents you. It reads the roles that never hit the market, matches them against what you've actually proven, and only makes the intro when the fit is real.\n\nThe intro lands as a single message: who this is, what they can do (proven, not claimed), why they fit, why now. No applications. No cold outreach. No spam on either side.\n\n•⁠ ⁠Proof, not proxies — capability measured in the terminal, not inferred from a title.\n\n•⁠ ⁠Privacy by default — you stay invisible until you greenlight a role. Identity is never exposed without consent.\n\n•⁠ ⁠Intros in hours, not weeks — the assessment is already done, so the match is instant.\n\n•⁠ ⁠Aligned cost — free for talent, companies pay only on hire. No retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=102530&key=user_uploads/2886794/4ce0af3f-d51b-4375-9715-48c2a7684e39)\n\n**Starting with the startup ecosystem**\n\nFounding engineers, early product hires, GTM leaders. The roles where the right person changes a company's trajectory and the wrong one sets it back six months.\n\nAlready representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B and unicorns.\n\nIf you are looking for the role that will define your next decade, open your terminal and prove your worth.\n\nIf your next five hires will define your company, plug Standout into your stack.", "url": "https://www.ycombinator.com/launches/Qfi-standout-a-talent-agent-for-builders", "votes": 8, "created_at": "2026-06-04T14:58:17.999Z" }, { "id": 100833, "title": "Standout - The Agentic Hiring Marketplace", "tagline": "Talent and companies each get an agent that makes intros when it matters", "body": "**TL;DR:** We're a talent agent connecting the world's best startup talent with the companies building what's next.\n\nWe don't sell software, we deliver introductions. Both sides get an autonomous agent that vets the other end and only makes the intro when the fit is real. Introductions in hours, not weeks. Free for talent, success-only for companies. One month in: 100 intros done.\n\nHiring is broken on both sides. We're rebuilding it around agents.\n\n\n\n**❌ The Problem**\n\nHiring should match the right people to the right roles. It rarely does. Five failures repeat on every search, and almost no one escapes them.\n\n* **Spam** — Talent fire hundreds of AI applications. Recruiters fire hundreds of AI messages. Both inboxes drown in noise.\n* **Visibility** — Early stage founders struggle to reach the talent worth hiring. The best talent gets buried in the inbound. Both sides struggle to stand out.\n* **Asymmetry** — Talent see titles and comp bands. Founders see resumes and LinkedIn. Neither side sees what actually matters.\n* **Privacy** — Looking around means risking your current job. There's no way to say \"I'm open\" without saying \"I'm leaving”\n* **Cost** — Recruiters take 20–30% of first-year salary, after weeks of back-and-forth, and the role still goes to someone they didn't find.\n\n**✅ Our Solution**\n\nStandout is an agentic hiring marketplace. Talent and companies each get an autonomous agent that represents them, vets the other side, and only makes the intro when the fit is real.\n\n* **Spam, gone** — No applications, no cold outreach. The agent only surfaces matches when the fit is real.\n* **Visibility, restored** — We see the roles that never hit the market and bring them to the people they're meant for.\n* **Symmetric context** — Both sides see what actually matters. The intro lands as a single message: who this is, why they fit, why now.\n* **Privacy by default** — Talent stay invisible until they greenlight a role. Identity is never exposed without consent.\n* **Aligned cost** — Free for talent. Companies pay only on hire — no retainer, no exclusivity.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/19cf3727-8a22-4910-b69a-12bde13936c1)\n\n**Starting with the startup ecosystem**\n\nWe're starting with founding engineers, early product hires, and GTM leaders — the roles where the right person changes a company's trajectory and the wrong person sets it back six months.\n\nWe're already representing 10,000+ builders, matched with 60+ startups from P26 pre-seed teams to Series B unicorns.\n\nIf your next five hires will define your company, plug Standout into your stack.\n\nIf your next role will define your decade, get represented.\n\n**Our Ask**\n\n* **If you're a builder** — get represented at [standout.work](http://standout.work). Free, three-minute onboarding, and we start matching you the same day.\n* **If you're hiring** — book a demo at . We'll send you the first candidates within days.\n* **If you know someone** — a builder who deserves better than a job board, or a founder drowning in inbound send them our way.\n\n**The Team**\n\n**Alexis Aftalion** — Previously launched Zealy a linear for discord communities. Scaled it to 1.5M MAU and $3M ARR in 12 months.\n\n**Witold de La Chapelle** — Built a jobboard with 100k MAU, ex-Engineer @ Dropbox, Samsara, Chime.\n\n![uploaded image](/media/?type=post&id=100833&key=user_uploads/2886794/73e8595d-6a1f-4295-9a0f-47c591083490)\n\n", "url": "https://www.ycombinator.com/launches/QEL-standout-the-agentic-hiring-marketplace", "votes": 14, "created_at": "2026-05-07T05:59:23.895Z" } ] }, { "id": 31403, "name": "transload", "slug": "transload", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bddf9622d95fa25a8b10500158d81f74f5df2f7.png", "website": "https://www.transload.ai", "all_locations": "Munich, BY, Germany", "long_description": "transload helps logistics companies measure shipments using the security cameras they already have. A pallet, a couch, a tire – we capture its true size as it moves through the warehouse.\r\n\r\nFor our customers, 15% of shipments turn out to be bigger than what the sender claimed. Catching those differences is worth ~$50k per site per month in rebillings and improved trailer utilization.", "one_liner": "Measure freight with security cameras", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1778896430, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/transload", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/transload.json", "year_founded": 2026, "city": "Munich", "country": "DE", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1bddf9622d95fa25a8b10500158d81f74f5df2f7.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": 3295758, "full_name": "Julius Scheel", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at transload. Top 5% of Analysts at McKinsey. Led a 9-person door-to-door NGO fundraising team at age 17 (€300k donations), built and scaled a virtual clinic at avi medical to 7-figures ARR. Distinction from Technical University of Munich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/juliusscheel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/088594e486847468054541e814191b9d7318b16c.jpg" }, { "user_id": 3351253, "full_name": "Nils Börner", "title": "Founder", "founder_bio": "Co-founder & CTO (AI) of transload. Five years building computer vision systems across deep-tech startups and academic research, with a co-authored paper in IEEE Transactions on Medical Imaging. Graduated top 5% of his Master's in Computer Science at TU Munich and earned a double-degree Master's in Data Science from the University of Queensland, recognized with the Dean's Commendation for Academic Excellence.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/boenils/", "x_url": "https://x.com/nilsboern", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f055d7e29278b519383c67517e4e756812738b37.jpg" }, { "user_id": 3351257, "full_name": "Jago Wahl-Schwentker", "title": "Founder", "founder_bio": "Co-founder & CTO (Engineering) at transload. Previously first software engineer at Veli, where he built an AI emergency alerting system from water and electricity sensor data for care homes and launched a Bluetooth localization product that doubled ARR. Studied Computer Science at the Technical University of Munich.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jagowahl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7cbc85fe1288abec7012f3677f4031043394ba9c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101496, "title": "transload – we measure freight with security cameras", "tagline": "Measurement, localization and tracking of freight in warehouses using only pre-installed CCTV", "body": "**TL;DR:** \n\n* Trucking companies lose billions because they don't know the actual size of the items on their trucks \n* We measure every shipment using the existing warehouse security cameras – no new hardware or process changes\n\n\n\n**Problem:** Over 2 million irregular items move across the US in trucks every day. Trucking companies charge based on how big each item is but rely on the sender to tell them. Senders often guess wrong or lowball, costing trucking companies revenue and truck space.\n\n**Solution:** We use the CCTV cameras already installed in the warehouse against theft and claims to measure items with computer vision. In the future we track shipment status, location and evidence for claims across the supply chain.\n\n**Ask:** Do you know any trucking company or warehouse owners? We would love to help them.\n\n![uploaded image](/media/?type=post&id=101496&key=user_uploads/3295758/23e99fb2-1112-4df1-a5d5-087daf23b720)\n\n**Team:** Nils (Computer Vision), Julius (ex-McKinsey), Jago (AI on industrial sensor data). Friends for 8 years from TU Munich.", "url": "https://www.ycombinator.com/launches/QP2-transload-we-measure-freight-with-security-cameras", "votes": 8, "created_at": "2026-05-18T01:00:41.343Z" } ] }, { "id": 31404, "name": "Userlens", "slug": "userlens", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53aa0a91ae4d729ccd50ea3870fa7f1887a5c006.png", "website": "https://userlens.io", "all_locations": "San Francisco, CA, USA", "long_description": "Companies today are growing faster than ever with smaller teams. The best AI-native companies don’t just need more users - they need more of their users becoming power users. Userlens makes it possible for lean teams to drive product adoption proactively, at scale.\r\n\r\nUserlens is building the AI product adoption expert. Our goal is to help every user at every company get more value from the product they already use.\r\n\r\nMost teams still rely on onboarding flows, lifecycle emails, support docs, and reactive CSM outreach. Userlens breaks that ceiling. Lumi watches how users actually use your product, spots when they’re ready for the next feature, workflow, or habit, and nudges them at exactly the right moment.", "one_liner": "Let agents talk to your customers", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775157268, "tags": [ "Productivity", "Enterprise Software", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/userlens", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/userlens.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/userlens/", "x_url": "https://x.com/userlens_hq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53aa0a91ae4d729ccd50ea3870fa7f1887a5c006.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/249b898c48c05bd992f29c71fc3605bdc55c1a7c.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 3403717, "full_name": "Ankur Dahama", "title": "Founder/CEO", "founder_bio": "Co-founder & Engineer @ Userlens. Before that, founded Wudpecker and grew to 20k+ teams. Worked on engine simulation at Mercedes-AMG and system software for a nuclear reactor.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ankurdahama/", "x_url": "https://x.com/ankur_d", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/341d470307f2228457236d1bb6a6af84fe541196.jpg" }, { "user_id": 3403613, "full_name": "Hai Ta", "title": "Founder", "founder_bio": "Co-founder at Userlens", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anhaita", "x_url": "https://x.com/HaiTa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/477d26fcebd2e38f867b8e47d0e6a9bf44e8e215.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99501, "title": "Userlens - AI CSM that never misses churn", "tagline": "Userlens gives you 100x CSMs", "body": "Hey folks 👋\n\nWe’re [Ankur Dahama](https://www.linkedin.com/in/ankurdahama/) and [Hai Ta](https://www.linkedin.com/in/anhaita) - co-founders of [Userlens](https://userlens.io/).\n\n\n\n# TL;DR\n\nUserlens is an AI CSM that monitors every account like your best CSM monitors your top 5. It catches churn months before renewal, builds QBR decks on your playbook, and tells your team exactly what to say.\n\n# Our story\n\nAt our last startup (Wudpecker), we had 25K users, 1,000+ customers, and zero idea who was about to churn. We flew blind. Accounts died quietly, and we only found out at renewal. So we built the tool we wished we had.\n\n# Userlens - Your 100x CSM that prevents churn\n\nUserlens watches every account the way your best CSM watches your top five.\n\nIs a renewal coming up at one of your accounts? Userlens already knows 5 users stopped using your new AI feature last month, the champion changed roles, and there's a frustration thread buried in Slack your team never saw.\n\nBefore your CSM opens the account, the talking points and QBR deck are ready — built on your team's templates and playbook.\n\nIt does this across your entire book of business. Every account gets the attention that your best CSM gives your top 5.\n\n# Why our customers love us:\n\n* **Quartr (10M ARR):** went from **40 accounts per CSM to 200** — with the same team, all while growing from **1M to 10M ARR in a year**. Their NRR has increased by **18% in 3 months** with us.\n* **Smartly (200M ARR):** their performance of CSMs in customer meetings and QBRs has gone absolutely vertical. We’ve predicted (and prevented) **23 6-figure deals** in churn risk already in a month!\n\nConnects to your **Product analytics** (Posthog, Amplitude, Mixpanel, Segment), **CRM** (HubSpot, Salesforce, Attio), **Billing** (Stripe), and Support tools (Intercom, Pylon).\n\n**Setup takes a day**. And we do up to 3 months of historic data import during pilots.\n\nWe lost accounts at our last startup because nobody told us what was happening until it was too late. Userlens makes sure that never happens to you.\n\n**For YC companies — free for 3 months.** We'll get you set up in a day.\n\nBook demo: \n\n**Know CS leaders at a B2B SaaS company?** We'd love a warm intro.", "url": "https://www.ycombinator.com/launches/Psr-userlens-ai-csm-that-never-misses-churn", "votes": 24, "created_at": "2026-04-07T19:18:01.670Z" } ] }, { "id": 31407, "name": "Sherpa", "slug": "sherpa", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24b3833352a8b36953c5bec1a4cb93f9ac0f2259.png", "website": "https://www.withsherpa.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Sherpa automatically optimizes websites for every human and every agent. For humans, Sherpa studies visitor behavior, builds better pages and flows, tests them on live traffic, and keeps what converts. For AI agents, Sherpa tests different agent-facing versions of the site until agents recommend the company more often. \r\n\r\nCustomers typically see a 15-20% lift in their primary conversion metric after using Sherpa for 30 days.", "one_liner": "Make websites improve themselves.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774901696, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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": [ { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Running a single website experiment today takes marketers, designers, engineers, and weeks of coordination. Before starting Sherpa, Norbu ran 50+ growth experiments at Lindy and felt this pain on each one. $7 trillion in commerce flows through digital funnels every year and most companies aren't running nearly enough experiments to improve their conversion rates. Sherpa finds what needs to change on a website, builds it, and tests it, all on its own." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "We're building software that improves itself. In this world, every website you visit, every app you open, every product you use gets better automatically based on real usage data. We're starting with conversion optimization because the feedback loops are tight and the outcomes are measurable." } ], "url": "https://www.ycombinator.com/companies/sherpa", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/sherpa.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withsherpa", "x_url": "https://x.com/with_sherpa", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24b3833352a8b36953c5bec1a4cb93f9ac0f2259.png", "app_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/bf-public_profile/31465/app_video.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQC4NIECAOTKCHR7A%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022736Z&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=2331e0310a5c73f627bd4ecd1a185d81f4633e4e75d11ef77f7a75741ad69427", "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b841a2d93e0b109311adcf6804689722d850f028.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 2561349, "full_name": "Ethan Kinnan", "title": "Founder/CEO", "founder_bio": "Automated every job I've ever had. Now automating conversion rate optimization at Sherpa.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ethan-kinnan/", "x_url": "https://x.com/ethan_kinnan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0d9f03777eff6b6e84484f729537e62cc31d2837.jpg" }, { "user_id": 919118, "full_name": "Norbu Sonam", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Sherpa (YC P26): autonomous growth experiments that increase conversion for human and agent traffic. Previously built agent infrastructure at Lindy used in millions of tasks, ran 50+ growth experiments there, and tripled paywall conversion. Before that, shipped image generation in Microsoft Copilot to tens of millions of users and a Super Bowl audience.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/norbusonam/", "x_url": "https://x.com/norbusonam", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72de213de31f5ea5cb1e6be2c683e894fe448795.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100086, "title": "Sherpa - Turn more website visitors into customers", "tagline": "Automatically find and run experiments to increase website conversion", "body": "Hey YC, we're [Ethan](https://www.linkedin.com/in/ethan-kinnan) and [Norbu](https://www.linkedin.com/in/norbusonam) from Sherpa. \n\n**TL;DR**\n\n**Sherpa turns more website visitors into customers by running experiments on its own. Here’s how:**\n\n→ Sherpa studies visitor behavior and finds opportunities to increase your site’s conversion \n\n→ It launches on-brand experiments without a designer or developer\n\n→ Winners ship and your site’s conversion rate goes up\n\n\\\n**Offer:** Get a free review of your website from Sherpa in 30 seconds. [Here’s the link.](https://www.withsherpa.ai/?utm_source=yc-launch)\n\n\\\n**Meet Ryan.**\n\nRyan runs growth marketing at Lindy. After installing Sherpa he shipped 40 website experiments in 30 days without a designer, web developer, or engineer. \n\nThese weren't just headline or copy changes. Experiments included full layout changes, animations, onboarding, and even pricing. To date, total site conversion is up 30%.\n\nWe sent a film crew to Ryan’s office, watch below: \\\n\n\n**\\\nThe problem**\n\nYour website is the highest-leverage asset your company owns. Every visitor you've ever paid for lands on it. And most of them leave.\n\nEvery growth team knows their site could convert better. Conversion rate optimization (CRO) is a volume game but each experiment needs a data analyst, a designer, a web developer, and someone to call winners. Most marketing teams don't have that bench. The ones that do still only ship 2-3 experiments a month because coming up with ideas, building them, and coordinating handoffs takes weeks.\n\nExperiments that could double your business are out there, but getting them live today feels like this:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/5269788d-75f4-4cff-8e78-cf79a766df26)\n\n**\\\nHow Sherpa works**\n\nInstead of waiting weeks per experiment, you can install Sherpa. It comes up with the ideas, builds the experiments, and you approve which ones go live with one click.\n\nSherpa is your conversion rate optimization team compressed into one line of code. \\\n\\\nIt studies how your visitors behave and compares your funnel to competitors to find opportunities to increase conversion. Then it designs on-brand variants, ships them, and runs A/B tests to identify winners. Sherpa can even spin up a new landing page for every ad, so each visitor lands on a page matched to the exact content they clicked. The longer Sherpa runs, the more it learns how to improve conversion on your site.\\\n\\\nOur customers ship dozens of experiments a month without adding more work for their team. Here are two examples.\n\n**\\\nLindy**\n\nSherpa noticed the problem section had the highest dwell time and dropoff on the page. The feature cards were close behind. Both sections were bottom three in stop-and-convert rate.\n\nSherpa removed the problem section and replaced the static feature cards with a new collapsed section that took up less space.\n\nBefore:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/b111b9cc-7736-4f91-8b8e-3ebf5e3b35e7)\n\nAfter:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/1ecdbfbf-86e7-4008-8e2a-14805168e8cb)\n\n**Gauge**\n\nSherpa found that visitors who read their Eco case study booked demos 2.5x more often. It also noticed visitors engaging with the FAQ were consistently clicking on the 2 questions trying to better understand what AEO is.\n\nSherpa shipped a new animated hero explaining AEO and added a case study callout under the primary CTA.\n\nBefore:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/d1ce3d51-9c1d-433b-80e7-4bd516aa82db)\n\nAfter:\n\n![uploaded image](/media/?type=post&id=100086&key=user_uploads/2561349/bd43a80f-85e4-41dd-861d-f58824eb9fea)\n\n\\\n**Who we are**\n\n**Norbu (CTO)**: shipped AI products at Microsoft before leading agent infrastructure and growth engineering at Lindy, where he ran 50+ growth experiments and tripled paywall conversion. \n\n**Ethan (CEO)**: was Lindy’s first forward deployed engineer and taught 10,000+ people to build custom agents, live. Automated every job he's had with AI since the GPT-3 API launched.\n\nWe’re obsessed with self-improving systems. Websites and conversion are just the start. We’re building toward a world where software continuously optimizes for whoever is using it — human or agent.\n\n**Ask:**\n\n→ Own a website? [Have Sherpa review your site for free in 30 seconds here](https://www.withsherpa.ai/?utm_source=yc-launch)\n\n→ Want to talk? [Book a call](https://cal.com/team/sherpa/demo?utm_source=yc-launch)\n\n→ Know a marketing or e-commerce leader whose website changes take forever and would benefit from a 20% conversion bump? Do them a favor and send them this 🤝\n\nThanks YC.\n\n— Ethan & Norbu", "url": "https://www.ycombinator.com/launches/Q2I-sherpa-turn-more-website-visitors-into-customers", "votes": 59, "created_at": "2026-04-23T06:55:42.062Z" } ] }, { "id": 31408, "name": "Antinuous", "slug": "antinuous", "former_names": [ "Salesgraph" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8a9a44d645fcd8622b7c1a0e23c0aa5695d5983.png", "website": "https://www.antinuous.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Antinuous is building autonomous research agents to help people in research, development, discovery, and knowledge work do faster, more accurate research end to end without a human in the loop.\r\n\r\nWe believe humans should be able to ask a single question, and no matter how simple or complex, agents should look at the question, break it down, research the answer, test new ideas, simulate new environments, and repeat autonomously using as much or little compute as necessary elastically.", "one_liner": "Autonomous research agents for R&D and applied science", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1775259755, "tags": [ "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We started as Salesgraph, building agents and workflows for enterprise sales teams.\r\n\r\nIn enterprise sales, there are four bottlenecks: pipeline, execution, internal, and implementation\r\n\r\nPipeline: how can I do effective outreach to more people.\r\n\r\nExecution: how can I boost deal win rate.\r\n\r\nInternal: how can I make CPQ, deal-desk, approvals, and negotiations fast.\r\n\r\nImplementation: how can I get new customers onboarded smoothly post-sale to avoid clawback.\r\n\r\nWe were working on execution first, because we solved that internally at Mintlify. After we started tackling pipeline generation, we realized that pipeline generation tools make great primitives for all research.\r\n\r\nTo build pipeline, you need to create tables of people and companies that you want to sell into. From those tables, you create primitives to dive deeper and do more specialized research to then build automations off of.\r\n\r\nWhat if you want to do deeper research? Learn the industry that your pipeline is built on, map vertical bottlenecks to your solution, go deep on each person to see how they relate to you? Now, you’re going the extra mile to partner on a solution to a business problem with each client, not just features.\r\n\r\nBut what if you expand this past sales?\r\n\r\nWhat if you’re in manufacturing and want to map supply chain bottlenecks to do better capacity planning?\r\n\r\nWhat if you’re in finance and want to see what data-center construction is doing to grid prices in Texas and Louisiana?\r\n\r\nWhat if you’re in R&D at a biotech and want to run virtual simulations overnight without hooking it up to your lab equipment.\r\n\r\nThis tool that we built for a niche use case of account research and pipeline generation turns out to be the perfect primitive for all research.\r\n\r\nWhat if we built the best tools for agents to be able to run simulations, experiments, and research in collaboration autonomously.\r\n\r\nWe can then build the most intuitive way to give humans info from that research in a way they can digest and build a better flywheel.\r\n\r\nWe quickly went from asking how good can we make sales outreach more effective to asking how many people we can reach who have a question they can’t answer because they don’t have the tools or knowhow.\r\n\r\nFrom building the tools to close revenue more effectively, we realized there's a much larger opportunity to build better tools for agents to answer any question.\r\n\r\nAs Antinuous, we are building an autonomous research platform where people can investigate their hardest questions and turn what they learn into action." } ], "url": "https://www.ycombinator.com/companies/antinuous", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/antinuous.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/antinuous", "x_url": "https://x.com/antinuous_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f8a9a44d645fcd8622b7c1a0e23c0aa5695d5983.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": 1949529, "full_name": "Ricardo Nunez", "title": "Founder", "founder_bio": "Building Antinuous, the autonomous research platform", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ricardonunez-01/", "x_url": "https://x.com/ricardo_nunez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3837a95812e9b0130d782fad02289f1a189ec6d7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100286, "title": "Salesgraph - your marketers, analysts, & strategists, working 24/7 on every deal.", "tagline": "Automate context gathering, collateral, and strategy for enterprise sales teams", "body": "Hey we’re [Ruhan](https://www.linkedin.com/in/ruhanponnada/) and [Ricardo](https://www.linkedin.com/in/ricardonunez-01/) - engineer turned seller, and seller turned engineer.\n\n**Offer:** Get a free [GTM Audit ](https://www.salesgraph.com/gtm-audit)on your company or prospects + if you intro us to a closer, for a meeting booked, get free Lulu merch!\\\n\\\n**TL;DR** Salesgraph automates deal context and collateral for enterprise sales teams, so every rep walks into every call prepared and leaves every call with clear next steps. We're a headless UI, starting with a Slack-native experience that integrates with your CRM, calendar, call recordings, docs, blogs, case studies, and research.\n\n\n\\\n**The Problem:**\nSales reps have too much on their plate: back-to-back meetings, Slack messages from prospects, follow-up emails, and coordination with SEs. The best reps balance this. The rest forget to follow up, come to calls unprepared, and lose deals at pricing because they can't value sell.\\\n\\\nThis gets harder when you're selling a technical product as a non-technical rep. You can't articulate value if you don't fully understand what you're selling, so reps default to features, line items, and discounts.\\\n\\\n**The Result:** enterprise deals die in procurement. \\\n\\\nWhen reps walk in without a clear business case, procurement has all the leverage. Deals stall on price, ACV gets discounted away, or the deal dies entirely.\n\nWe lived this at Mintlify. Reps looked great on paper, but folded under pressure. The truth is, sales is as much nurturing as it is selling. The best reps act like consultants, not order takers.\\\n\\\n**Our Solution:** At an internal Mintlify hackathon, our Head of Sales paired with Ricardo to build an internal tool: a value case generator trained on call recordings, past deals, case studies, ROI calculators, and the MEDDIC framework. The output was a 3-page business case our champions used to sell Mintlify internally — driving higher ACVs and helping us close millions from enterprise logos.\n\nWhy can’t we evangelize every GTM team to close deals at higher ACV through encouraging value selling? \\\n\\\nWe took those learnings to build Salesgraph.\n\nIn Slack, reps get proactive context 5 minutes before every call — triggers from background agents, key notes from previous calls, and what to cover next. After every call, they get a DM with strengths, gaps to address, and next steps.\n\nWe integrate with major call recorders and ship our own ambient recorder (a sales-focused alternative to Granola), **free for founders and teams under 3**.\\\n\\\n**Why this matters for everyone, not just reps:**\n\n* **Sales managers** query deal state directly in Slack, no more reading low-quality opp notes or meaningless health scores\n* **SEs and FDEs** stop watching call recordings at 2x speed; they just ask in Slack\n* **Customer success** sees what was actually promised vs delivered\n\n\\\nEvery rep should sell like your best rep. \\\n\\\nTry us out .\n\n![uploaded image](/media/?type=post&id=100286&key=user_uploads/1232135/373bd751-51cd-409f-af85-343138e2bcd6)\n\n", "url": "https://www.ycombinator.com/launches/Q5W-salesgraph-your-marketers-analysts-strategists-working-24-7-on-every-deal", "votes": 28, "created_at": "2026-04-27T17:30:09.308Z" } ] }, { "id": 31409, "name": "InstaAgent", "slug": "instaagent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1efbbb9a75fe89206f180f9f9d1afb75dba57ca0.png", "website": "https://instaagent.com", "all_locations": "San Francisco, CA, USA", "long_description": "InstaAgent helps B2C companies scale a single campaign across hundreds of specific audiences on Meta and TikTok, each with its own content, voice, and targeting. Traction: $1M Ann. Run Rate in 10 months.\r\n\r\nFrom one brief, we create personalized creatives, distribute them through paid channels and niche social accounts, and use performance data to learn what works, scale winners, and improve every campaign.", "one_liner": "Scale marketing campaigns across hundreds of personas", "team_size": 10, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1778187883, "tags": [ "Marketing", "Advertising" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/instaagent", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/instaagent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/instaagent/", "x_url": "https://x.com/InstaAgentAI", "fb_url": "https://www.facebook.com/p/InstaAgent-61575219352924/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1efbbb9a75fe89206f180f9f9d1afb75dba57ca0.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": 593025, "full_name": "Kyle Wong", "title": "Founder/CEO", "founder_bio": "Repeat Founder (1M+ users in 1 month) | Ex-GS China TMT | Triple Major @Cornell", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kylewong2/", "x_url": "https://x.com/klwongkyle", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ac6e1be5ac71930d636cf8d92b23c954a864176.jpg" }, { "user_id": 2509838, "full_name": "Colin Tseung", "title": "Founder", "founder_bio": "Repeat Founder (Acqui-hired) | Maths @Oxford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tseungc/", "x_url": "https://x.com/tseungcolin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/83057cf8d80aa579ab26a8e076610f271190979d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101195, "title": "InstaAgent – One marketing campaign → hundreds of personas", "tagline": "We help B2C companies scale social media marketing across hundreds of personas", "body": "**TLDR**: InstaAgent helps B2C companies scale a single marketing campaign across hundreds of specific personas on Meta and TikTok, each with its own content, voice, and targeting.\n\n**Traction**: Reached $1M ARR in 10 months.\n\n**Launch Video:** \n\n**The Problem**\n\n👋 Hello! We’re repeat founders who burned millions on paid social. We used AI to scale content production, but most of it was generic slop that fell flat. What actually converted was creative tailored to specific niches. But producing that at scale was too slow, too expensive, and no tool existed to do it.\n\n**Lessons from Serving Hundreds of Customers**\n\n1. **80% quality = 0% retention**: There's no \"good enough\" in AI creative. If content feels even slightly off, customers call it slop and churn. High-quality AI creative is harder than people assume — it's not just prompting, it's topics, taste, and iteration. That's why we moved from self-serve to an agency model. Customers do not just want AI tools; they need help producing quality creatives.\n2. **Few people actually like creating**: The first few ideas came easy, then they were stuck. Most brands run 5-6 variations when they should be running 50+. MEDVi (controversial, but instructive) scaled by running ads across 800+ Facebook pages. Few brands can produce personalized ads at that scale.\n\n**Our Solution**\n\nInstaAgent generates hundreds of on-brand creatives from your brief — each tailored to a specific persona, informed by what's trending and distributed across hundreds of social accounts engineered to reach each niche.\n\nIn hours, performance data starts flowing back. Winners scale. Underperformers are replaced by new variants. The optimization loop that used to take weeks now runs continuously.\n\nIn days, you launch the next campaign. Different angle, fresh creatives, smarter targeting — because every cycle inherits what the last one learned.\n\n**Our Ask**\n\nIf you know a B2C company scaling on Meta or TikTok, we’d love an intro.\n\nEspecially relevant: CPG, Health, and Apps.\n\nPlease email us at [kyle@instaagent.com](mailto:founders@instaagent.com)\n\n**About Us**\n\n[Kyle](https://www.linkedin.com/in/kylewong2): Repeat Founder (1M+ users in 1 month) | Ex-GS China TMT | Triple Major @Cornell\n\n[Colin](https://www.linkedin.com/in/tseungc): Repeat Founder (Acqui-hired) | Maths @Oxford\n\nFriends for 20 years since middle school:\n\n![uploaded image](/media/?type=post&id=101195&key=user_uploads/593025/e32fecf3-ea76-4c59-b20a-14c355a4683d)\n\n", "url": "https://www.ycombinator.com/launches/QKB-instaagent-one-marketing-campaign-hundreds-of-personas", "votes": 48, "created_at": "2026-05-11T16:27:44.262Z" } ] }, { "id": 31410, "name": "RentAHuman", "slug": "rentahuman", "former_names": [ "RentAHuman AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b67f36dd87617d3ebd7151d1c77707aaa16c25f.png", "website": "https://rentahuman.ai", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Marketplace for AI agents to hire humans.", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Job and Career Services", "launched_at": 1776727730, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer", "Job and Career Services" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rentahuman", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/rentahuman.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rentahuman-ai", "x_url": "https://x.com/rentahumanx", "fb_url": "https://www.facebook.com/profile.php?id=61589063649221", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b67f36dd87617d3ebd7151d1c77707aaa16c25f.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": 1655324, "full_name": "Alexander Liteplo", "title": "Founder/CEO", "founder_bio": "Serial Builder, broke the internet with RentAHuman.ai, 500k users and $20k MRR in 2 weeks. Internationally reported and featured in Forbes, Wired, Futurism, and 30+ more publications. \n\nEnabling AI agents to allocate and orchestrate global labor by turning humans into API's endpoints!\n\nHit me up if you want to give your AI's IRL superpowers :)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexander-liteplo", "x_url": "https://x.com/AlexanderTw33ts", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6a4ac6c2efa463dd518090408d1c4dd870a16c22.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102017, "title": "Rentahuman: the marketplace where AI agents coordinate and pay people to do real world work.", "tagline": "The meatspace layer for AI.", "body": "Most people are focused on humans using AI to do digital work. We think the more exciting opportunity is AI creating and coordinating work in the physical economy.\n\nRentahuman lets AI agents communicate with and pay humans to do real-world tasks.\n\nOur mission is to use AI to create new jobs and coordinate workers at global scale.\n\nAI agents can code, write emails, use software, spend money, and complete increasingly complex digital tasks. But they still cannot record household chores for robotics training, capture in-store photos, find people for a video shoot, organize a local event, pick up supplies, or do the physical work required to operate in the real world. These are all use cases we have tackled at Rentahuman.\n\nMost AI systems are trained and deployed inside the digital world. But the next generation of AI and robotics systems will need more than software tools. They will need structured data, local execution, and human participation from the physical world.\n\nRentahuman gives them a way to get it.\n\nWe are now using Rentahuman for live deployments, from data collection tasks for AI and robotics companies to operational experiments like an AI-managed laundromat. These deployments help us learn how agents hire workers, spend money, collect data, coordinate people, manage physical workflows, and recover from operational failures.\n\nThis is the beginning of a larger shift: AI agents moving from browsers and software tools into the real economy.\n\nWe believe AI will create demand for more human work, not less. The future will have more intelligence, more jobs, and more opportunities for people outside of the digital world.\n\nRentahuman is the marketplace where that future begins.", "url": "https://www.ycombinator.com/launches/QXR-rentahuman-the-marketplace-where-ai-agents-coordinate-and-pay-people-to-do-real-world-work", "votes": 14, "created_at": "2026-05-27T07:38:50.779Z" } ] }, { "id": 31411, "name": "Andco", "slug": "andco", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2a1952b4bf4f03f6e4d7c3a1bc30b3b97ba2619.png", "website": "http://www.useandco.com", "all_locations": "San Francisco, CA, USA", "long_description": "Our agents retrieve and synthesize all the records law firms need to start a personal injury case. We get police reports, open insurance claims, and retrieve all the medical records and bills needed to build a case.", "one_liner": "Agents that build personal injury cases", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Legal", "launched_at": 1777434223, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Legal" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/andco", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/andco.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/andcolegal/", "x_url": "https://x.com/andcolegal", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2a1952b4bf4f03f6e4d7c3a1bc30b3b97ba2619.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": 1126674, "full_name": "Ryan Xue", "title": "Founder/CEO", "founder_bio": "Co-founder/CEO at Andco (X26). Previously co-founder/CEO at Layup (W23). First business hire at Origin, scaling the company from pre-product to hundreds of enterprises and 100K+ users across 40+ countries. Previously consultant at McKinsey and policy fellow at Google.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryanxue/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/45d2131a9a31f9a00d74e39bca27bffa7cf17cf0.jpg" }, { "user_id": 1305066, "full_name": "David Lee", "title": "Founder", "founder_bio": "Co-Founder and CTO at Andco. Previously CTO at NoxuData and Founding Director of Engineering at Seek AI (IBM acq). Senior Software Engineer at DataFox (Oracle acq).", "is_active": true, "linkedin_url": "https://linkedin.com/in/lee-david3", "x_url": "https://x.com/dleebuilds", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4303ef465363979bee82ba94d4c725349c817063.jpg" }, { "user_id": 1161905, "full_name": "Michael Lemm", "title": "Founder/COO", "founder_bio": "Co-Founder and COO of Andco (YC X26). Previously Co-Founder and COO of Layup (YC W23). Outside of Andco, I enjoy rooting on Chicago sports teams, firefighting, and trying new local restaurants. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-s-lemm/", "x_url": "https://x.com/mikeslemm", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c46120791468978a4c626eb392f8b95c85691a7a.jpg" } ], "jobs": [ { "id": 96305, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/andco/jobs/zoWNTcb-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $220K", "equity_range": "1.00% - 3.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 100597, "title": "Andco: Agentic case workups for personal injury law firms.", "tagline": "We get personal injury law firms medical, police, and insurance documents - fast and without overhead.", "body": "**TLDR:** Andco's AI agents run the entire pre-litigation workup for personal injury firms across every channel they use: fax, email, mail, web, SMS, and voice - so they can scale their firm without overhead.\n\n**The first 24 hours of a case, with Andco**\n\nThe moment a PI firm signs a new client, a race starts. Police reports need to be pulled, insurers need to be called, medical providers need to be faxed (yes, still faxed). Our agents go off across all channels in parallel: requesting the police report, opening claims with carriers like Geico and Progressive, identifying UM/UIM coverage, engaging adjusters, requesting records and bills from every treating provider, and running follow-up cadences until everything lands. Roughly 8 hours of legal staff work, done before anyone at the firm sits down at their desk.\n\n![uploaded image](/media/?type=post&id=100597&key=user_uploads/1126674/72f429e1-75ec-45b9-8481-5fac0d0dce5a)\n\n**The Problem**\n\nPersonal injury is a $50B+ industry, and firms live or die on pre-litigation workup speed. The problem: every case requires chasing dozens of documents from police departments, insurance carriers, and medical providers — most of whom still run on fax, mail, and phone. Firms have two options today\n\n1. Hire armies of legal staff + paralegals (expensive, high turnover, caps your caseload)\n2. Outsource to point-solution retrieval vendors (slow, opaque, expensive per-request)\n\nLegal tech built for this has historically been document and case management systems — great for storing things, terrible at actually doing the work. Meanwhile AI tooling in PI has mostly focused on downstream workflows like medical chronologies and demand drafting, which still depend on someone else getting the case context in first.\n\n**The Solution**\n\nAndco runs the pre-lit workup end-to-end. We're the system that actually does the work of getting the context. Our agents operate across fax, email, mail, web, SMS, and voice - the same channels your legal staff uses, plus a few they can't scale on. We're live with PI firms across the US and are exploring pilots with the world's largest injury law firms.\n\nEarly results:\n\n• 8 hours saved in the first 24 hours of a case\n\n• 24+ hours saved between intake and demand\n\n**About Us**\n\nWe're a team of repeat founders, ex-lawyers, and builders.\n\n**Ryan Xue (CEO)** — previously founded Layup (W23, exited to Whatfix). Before that: Origin, McKinsey, Google.\n\n**David Lee (CTO)** — 2x founder/CTO. Previously NoxuData and Seek.\n\n**Mike Lemm (COO)** — Layup co-founder (W23, exited to Whatfix). Formerly attorney at Kirkland & Ellis, Harvard Law.\n\n\\\n**Our Ask**\n\nWe publicly launched in March and are scaling as fast as humanly possible. We’re already live with many high volume firms across the country - handling hundreds of cases and thousands of requests each month. We can serve law firms in all 50 states.\\\n\\\nIf you’re a personal injury law firm that is struggling to scale your prelit process, we’d love to hear from you. First case is on us! \n\nDrop us a note at [founders@useandco.com](mailto:founders@useandco.com). Site: [useandco.com](http://useandco.com)\n\nThanks for your support!\n\n[@Ryan Xue](https://bookface.ycombinator.com/user/1126674) , [@Michael Lemm](https://bookface.ycombinator.com/user/1161905) , and [@David Lee](https://bookface.ycombinator.com/user/1305066)", "url": "https://www.ycombinator.com/launches/QAX-andco-agentic-case-workups-for-personal-injury-law-firms", "votes": 16, "created_at": "2026-04-30T17:44:34.179Z" }, { "id": 91769, "title": "Layup: Guide your users. Right in your product. Entirely self serve!", "tagline": "Layup is AI that onboards and guides any user directly in your product.", "body": "After tons of feedback from early customers (thank you YC community for helping us break stuff!), we’re proud to share that Layup is now fully self-serve with our new point-and-click guide builder.\n\nhttps://www.youtube.com/watch?v=TqtS3ET8KmY\n\nThis is a big moment for the digital adoption space: teams can now launch in-product onboarding and guidance in _minutes_, without waiting on engineering or dragging out implementation cycles. We believe every product deserves a second cursor guiding users—and now, anyone can set it up instantly.\n\n**Here’s what’s new (and included in every plan)**:\\\n✅ **Brand new point-and-click editor**: just click around your product, and we generate the in-product guide, including text for each step.\\\n✅ **Fully redesigned UX**: faster, smoother, simpler.\\\n✅ **Built-in onboarding + feature announcements** to show users what you ship.\\\n✅ **Dynamic guidance**: Layup guides users when they get stuck, directly in your product—no help center required.\\\n✅ **Flow validation + retraining**: we auto-check and fix broken flows.\\\n✅ **Knowledge fallback**: if a flow doesn’t exist, we harvest from your product and docs to guide users.\n\n**What we’ve learned optimizing Layup to be self-serve**. A few lessons that might resonate if you’re working in onboarding, product education, or support:\\\n– Onboarding isn’t a one-time problem; it’s an ongoing infrastructure challenge. Your UI changes weekly, and your onboarding needs to evolve with it.\\\n– Nobody wants to “design a flow” or tag individual elements to make one: they want to point, click, and have it just work—so we built exactly that.\\\n– The most effective guides don’t live in a help center or static documentation—they live interactively inside your product, appearing exactly when users need them.\\\n– The best support content isn’t built manually; it’s harvested from your product and docs, so we built a fallback system that does just that.\n\nLayup reflects these learnings—and we’re still in builder mode.\n\n**Why this matters**\\\nIf you’ve tried using a DAP (Pendo, WalkMe, Appcues, etc.), you know the pain: incredibly difficult to set up, flows break, users ignore them, and maintaining them becomes a second job.\n\nWith Layup, you can now:\\\n✨ **Build everything yourself in minutes**.\\\n✨ **Keep your guides alive even when your product changes**.\\\n✨ **Help users even when there isn’t a pre-recorded guide.**\n\nWe’re excited to get Layup into more products, making onboarding effortless and guidance instant. If you want to transform how your product guides and supports users, let’s chat—we’d love to get you started with Layup today. We offer a 7-day free trial so you can see the impact for yourself.\\\n\\\nTalk to us here! [**https://cal.com/team/layup/founders**](https://cal.com/team/layup/founders)", "url": "https://www.ycombinator.com/launches/Ns9-layup-guide-your-users-right-in-your-product-entirely-self-serve", "votes": 13, "created_at": "2025-07-01T16:51:37.258Z" }, { "id": 88104, "title": "Layup: Guide every user, anywhere in your product", "tagline": "The second cursor that onboards, activates, and guides users through your product", "body": "**TL;DR:** Layup helps guide users anywhere in your product. Our second cursor appears directly in your UI to walk users through step-by-step.\n\nYou invested in building the features—now guide every user through how to use them.\\\n\\\n**Update:** When we first launched two months ago, demand for our AI-driven second cursor was so overwhelming that we served everyone we could and then essentially went back into stealth mode to scale our infrastructure. Now, we're relaunching with a slew of new features and upgrades—ultra-fast latency, docs referencing, a new, beautiful widget, and \\*\\*dynamic conversational guides\\*\\*—making Layup smoother, faster, and more powerful than ever.\n\nAnyone launching a product can now effortlessly create and maintain in-product tutorials, onboarding guides, and feature announcements with literally 0 overhead.\n\n![uploaded image](/media/?type=post&id=88104&key=user_uploads/1126674/f10f7879-95ac-4b39-b80f-ca7d78b16a66)\n\n\\\n**The Problem**\\\nEven products with great UI can fall short if users don’t know how to find or use new or complex features.\\\nTraditional onboarding flows and user adoption tools—like rigid product tours or static help center articles—often fail to engage users or break when your UI changes. It’s an endless cycle of re-tagging and updating that exhausts product, growth, and support teams.\\\n\\\n**Our Solution**\\\nLayup embeds a **second cursor** that guides your users in real time:\n\n1. **One Line of Code**: Invite Layup as a user and drop a snippet to overlay our widget in your UI.\n2. **Advanced Knowledge Base Referencing**: Instantly surface relevant docs and FAQs in every step of a guidance flow.\n3. **Dynamic Conversations & Guides**: The second cursor and conversation overlay automatically adapt as your UI evolves—no re-tagging required.\n4. **New, Beautiful Widget**: Keep users engaged with a modern, intuitive design that’s integrated seamlessly into your product.\n\n\\\n\\\n\\\n**Use Cases**\n\n* **In-product guidance:** Provide instant, hands-on help that points users exactly where they need to click.\n* **Onboarding & activation**: Reduce the learning curve (and time to value) by visually guiding new users through each step.\n* **Feature discovery**: Turn passive observers into power users by highlighting new releases in real time.\n\n**How It Works**\n\n1. **Invite Layup**: Treat us like a user in your product.\n2. **Contextual Learning**: We analyze and index your product workflows, referencing your KB/documentation for context.\n3. **Visual Guides**: Users follow the second cursor and chat overlay step-by-step, reducing friction and confusion.\n4. **Zero Maintenance**: The guides update themselves when your UI changes—no more tedious upkeep.\n\n**Get Started**\\\nReady to ensure every feature you build gets discovered and adopted?\n\n* **Schedule a time with us**: \n* **Learn more** at .", "url": "https://www.ycombinator.com/launches/Mv2-layup-guide-every-user-anywhere-in-your-product", "votes": 8, "created_at": "2025-02-27T18:16:19.251Z" }, { "id": 86022, "title": "Layup: Guide your users. Right in your product.", "tagline": "Meet Layup, the second cursor that effortlessly guides your users with just one line of code.", "body": "**TL;DR:** Layup saves teams hours creating and maintaining in-product guides and help center content. We transform the way users interact with your products by offering real-time, adaptive assistance via a second cursor that spawns directly in your UI.\\\n\\\n**The Problem**\\\nUsers often struggle to discover relevant features or complete the tasks they want, even in products with thoughtfully designed interfaces. They don’t want to look through confusing instructions in a help center or be forced to go through a rigid product tour. \\\n\\\nTraditional user adoption platforms like Pendo, Whatfix, and WalkMe are outdated, expensive, and fragile. Product and growth teams invest countless hours tagging and setting up guides, only for them to become obsolete when a UI update is pushed. \\\n\\\nIt’s a cycle that drains resources and slows down your ability to support users effectively.\\\n\\\n**Our Solution**\\\nWith just one line of code, Layup powers a second cursor directly within your product that shows users how to do anything.\n\nCheck out our [demo](https://www.loom.com/share/e16cfe3f860441969cfb85a5c5cbd402?sid=1dd5cc59-f98c-4bee-ab38-1eab92764493) here!\n\n**How it Works**\n\n* **Step 1:** Invite Layup as a user to your app and add a single line of code to add Layup’s second cursor/chat widget in your UI.\n* **Step 2:** Set up is as easy as inviting Layup as a user to your product. We’ll learn every workflow in your product and tap into your knowledge base / documentation to contextualize them.\n* **Step 3:** Your users get tailored guidance instantly with a second cursor that guides them through tasks, new features, or onboarding. Layup’s AI adjusts automatically as your UI changes, ensuring users get uninterrupted support!\n\n**Use Cases**\n\n* **Customer support:** instantly show your users what to do rather than direct them to a help center or support chatbot\n* **User onboarding:** reduce the learning curve (and time to value) by visually guiding new users through each step\n* **Feature activation:** turn a passive observer into an engaged user by guiding them through the feature in real-time\n\n**Interested in learning more?**\n\n* If you’re interested in deploying Layup, schedule a time with us [**here**](https://cal.com/team/layup)! You can also check out our site at [**https://layuplabs.ai**](https://layuplabs.ai). We’ll work hand in hand with you to support your needs.", "url": "https://www.ycombinator.com/launches/MNS-layup-guide-your-users-right-in-your-product", "votes": 18, "created_at": "2024-12-04T15:55:09.760Z" }, { "id": 81374, "title": "Layup: AI that puts retention & growth on autopilot", "tagline": "Layup turns your product usage data into touchpoints that drive retention and growth", "body": "### Do things that don’t scale, scalably.\n\nAt YC, it’s hammered into us to build what people want. It’s why we spend so much time talking to our earliest users, iterating as we see how they use our product, and understanding what they want next. This hands-on, founder-led motion—aka doing the unscalable—is a key accelerant to scaling. But the reality is - as you grow, you can’t continue to meaningfully engage with every customer. Retention and growth opportunities are left on the table, and both your revenue and roadmap suffer as a result.\n\n\\\nThat’s precisely why we built Layup. To enable you to act on every customer when it matters most. By integrating with your product usage data, Layup enables you to take optimal actions with customers at key points throughout their journey and retain & expand accounts. Layup is the simplest - and only - tool that you need to run and scale your post-sales growth motion.\n\n[Check out our video demo here!](https://www.loom.com/share/2a1398b080334514971cd4c6e099aed7?sid=3fde563d-53dd-463b-b228-3f26597c1450)\n\n* **A single platform for growth and retention**\n * AI that drafts proactive, personalized outreach to your customers to demonstrate recurring value.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/3ba6d4bf-e9e4-480b-afb2-8ee313eda81b)\n\n* **Get 100% actively managed account coverage, instantly**\n * Quickly get the insights you need on every customer and take action to expand accounts faster.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/a4fef682-d68a-44aa-a644-8c3d8d6ddfeb)\n\n* **Take the right actions every time**\n * See real-time performance data to know what works and refine your actions to meet your goals.\n\n![uploaded image](/media/?type=post&id=81374&key=user_uploads/1126674/1b7230db-70bc-429a-a925-e05df8ec5dec)\n\n### Featured use cases for early-stage companies (we’ll set these up for you right out of the box!):\n\n* **_Drive adoption:_** reach out at key phases of onboarding to reduce time to value\n* **_Reengage users:_** reach dormant users to reduce the risk of churn\n* **_Retain and upsell_**: make key touchpoints when plan limit is approaching to drive growth\n\n### How it works\n\nLayup breaks down into two main components:\n\n* **Signals** – surface the best opportunities to take action from your product usage data\n* **Playbooks** – drive effortless personalized emails with AI to optimize growth and retention\n\n### Getting onboarded is easy:\n\n1. Bring your product data and CRM into Layup. We will work directly with you to map your usage data to the product signals that you want to track\n2. Set up playbooks to automate personalized emails when customers take targeted actions in your product\n3. Messages will load directly in your outbox every time a playbook is triggered. Simply review them and hit send\n\n### Our Asks\n\n* Check Layup out! Schedule a demo with us [here](https://meetings.hubspot.com/michael-lemm?uuid=627c0c46-6939-4418-9758-b0124a0ef65d).\n* We are actively working with early design partners to further build out our product and have 3 slots left. If you're interested in using Layup for your team and shaping the future of our product, please reach out at [founders@layuplabs.ai](mailto:founders@layuplabs.ai)!", "url": "https://www.ycombinator.com/launches/LAU-layup-ai-that-puts-retention-growth-on-autopilot", "votes": 24, "created_at": "2024-06-07T19:09:26.790Z" }, { "id": 70272, "title": "Layup: Complete your workflows, with just one line 🏀⚡️", "tagline": "Turn prompts into workflows across all of your company’s software", "body": "Hey YC! [@Mike Lemm](https://www.linkedin.com/in/michael-s-lemm/), [@Badal Jain](https://www.linkedin.com/in/badaljain77/), and [I](https://www.linkedin.com/in/ryanxue/) are very excited to launch [Layup](http://www.layupai.com)! ⛹🏾‍♀️⛹🏽⛹🏻‍♂️\n\n# TL;DR\n\n**Layup is every employee’s AI-powered sidekick that builds workflows across all of their company apps.** With just one prompt, it can do things like create an MSA with data from Salesforce, export it to Google Docs, and instantly share it with the right people.\n\n### **The Problem**\n\nBads, Mike, and I have collectively worked across almost every type of company and have experienced firsthand just how tedious and repetitive it can be to find information and execute workflows across a company's full suite of apps. For example, hiring someone might mean pulling down compensation data from Pave, populating an offer letter in Greenhouse, then setting them up in Rippling when the candidate accepts. Even the most simple daily workflows can involve passing information between 3 and 5 different services.\n\nLayup turns this into a one-shot prompt. We're on a mission to help individuals and organizations streamline their daily tasks with simple prompts so that they can focus on what matters most. We’re moving fast – we now integrate with over 170 applications (and counting!), providing seamless configuration with any company’s knowledge base.\n\n### **How it works**\n\nWith one simple prompt – initiate instant, customized workflows to complete your everyday tasks.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/abcb0ba4-f052-4b6e-92e4-544490863632)\n\n### **Our Asks**\n\n• Check Layup out! Schedule a chat with us [here](https://calendly.com/mikes_layup/30min?back=1&month=2023-03).\n\n• Tell us what you think.\n\n• If you know of any other companies that you think would be interested in using Layup, we would appreciate any intros.\n\n![uploaded image](/media/?type=post&id=70272&key=user_uploads/1126674/ba45dd9d-7b89-4413-a3ef-cb7869a438e1)\n\nIf you have any questions, ideas, or just want to touch base, hit us up! We'd love to hear from you – [founders@layupai.com](mailto:founders@layupai.com)", "url": "https://www.ycombinator.com/launches/IHQ-layup-complete-your-workflows-with-just-one-line", "votes": 230, "created_at": "2023-03-14T18:11:15.132Z" } ] }, { "id": 31413, "name": "Arga Labs", "slug": "arga-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3d9a7c1d8ec13bb1565520e7fc7a6ca3a8fa82.png", "website": "https://www.argalabs.com/", "all_locations": "Vancouver, BC, Canada", "long_description": "We build environments to test your app and agents against the real world.\r\n\r\nDeploy your code/agent into a sandbox that runs against replicas of external services (Stripe, Slack, Google Drive, etc.). Twins support the same APIs, MCP tool calls & SDKs as the real software, and you can spin up thousands of instances in parallel and seed them using natural language. Run real workflows, surface edge cases, and observe how your code/agents actually behave before hitting production.", "one_liner": "Real-world sandboxes to test and train AI agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1771902214, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Canada", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arga-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arga-labs.json", "year_founded": 2025, "city": "Vancouver", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/arga-labs", "x_url": "https://x.com/argalabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e3d9a7c1d8ec13bb1565520e7fc7a6ca3a8fa82.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7381be840cc53f07a0fbb3777682d7a01ba4d0bf.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3010892, "full_name": "Phillip Li", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ Arga Labs.\n\nBuilt an internal dev tool to simplify making changes to Amazon.com - saves 10+ recurring weeks / year of SDE time, and prevented VP escalations due to bug issues. \n\nBefore that, I was a fencer on the Canadian Junior National Team and researched neuroscience at UBC\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/phillip-li-a28a84217/", "x_url": "https://x.com/PhillipLii", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6315d398b8ad4e31c2cd6813106cd8c7197b1d5.jpg" }, { "user_id": 3202471, "full_name": "Akira Tong", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO @ Arga Labs\n\nPrev. SDE @ Stripe, quant @ GS\nSkipped high school, graduated @ 19\nPro player for Identity V, quit because I had to finish my finals :(", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/akira-tong", "x_url": "https://x.com/akkkkiira", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/34882fa6d2511ba39680952d296af114887b5492.jpg" } ], "jobs": [], "news": [ { "title": "Making AI Agents Ready for the Real World | Arga Labs", "url": "https://www.argalabs.com/blog/making-ai-agents-ready-for-the-real-world", "date": "Aug 26, 2026" }, { "title": "The 11 standout startups from YC's Demo Day, according to VCs | TechCrunch", "url": "https://techcrunch.com/2026/06/18/the-11-standout-startups-from-ycs-demo-day-according-to-vcs/", "date": "Jun 18, 2026" } ], "launches": [ { "id": 99708, "title": "Arga Labs: Real-world sandboxes for multi-app agents and software", "tagline": "Production-mirror sandboxes with digital twins of every SaaS integration", "body": "**tl;dr:** **become a 100x tester** with Arga by giving your agents staging environments scoped to a change. We spin up twins of your integrations (Slack, Stripe, etc.) and dependencies (DB, Redis), and deploy only the services that were changed. Everything else is routed to prod.\n\nLaunch Video: \n\n**The problem: You’re a 1x tester**\n\n* You don’t have staging :(\n* You have staging, but it’s different from prod, and things still break after testing\n * You mock integrations, which can be inaccurate\n * You use real accounts to test integrations, but you hit rate limits, can’t clear states between tests, and can’t test at scale\n* You have staging, but your agents can’t automatically test changes so you’re stuck at being a 1x tester despite being a 100x engineer\n* You have staging, but it’s difficult to merge concurrent changes without breaking something (for larger teams!)\n\n**Our Solution**\n\nWe spin up a temporary staging of your app every time you open a PR. Only the services you change are redeployed; all other services are routed to prod. Your dependencies are deployed as in-memory sidecars, so nothing corrupts prod data. For example, you can configure the tests to read from the prod database and perform all write commands to the sidecar; you can also configure everything to be routed to the sidecar.\n\nWe also spin up twins of services your app uses: Stripe, Slack, GSuite, Hubspot, and more, so you don’t hit the real API. This lets you test more thoroughly: **you can catch weird edge cases, simulate failure modes, and run tests in parallel without worrying about rate limits.** All twins are fully compatible with any SDK, expose the same API endpoints, and support webhook events. You can seed any twin in natural language, or select from our pre-set scenarios.\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/cf335c26-a032-4a1d-bcc1-6c4863946abc)\n\nDemo of Github, Slack, Stripe twins on the Arga app: \n\nYou or your agent can prompt Arga via web, API, CLI, or MCP to **automatically generate tests for your PR, run them, and stream the results and logs back**. This allows them to know what was tested, what broke, and which calls/functions caused the failure. They can use this information to go back and fix the code, so you’ll have a fully-tested and passing PR before you look at it.\n\nValidation report:\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/81258740-df00-46e1-9ba9-b2bbfd7a4572)\n\nClaude Code using arga CLI to read logs & test results:\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3202471/286496d9-28f2-4c01-a186-35235ed55189)\n\n**Our ask**\n\nTry us out! We’re live at [www.argalabs.com](http://www.argalabs.com) and you can get access to limited features for free. \\\nIf you like our stuff, book a demo here ().\\\nIf you know any teams that struggle with testing and use lots of external integrations, send them our way.\n\n**The Team**\n\nAkira and Phillip met each other in first-year calculus at UBC. At the time, Akira was 14 and Phillip was studying neuroscience to pursue research in human biology. Within a year of pivoting to CS, Phillip built a dev tool at Amazon that saved 10 weeks / year of engineering hours as an intern. While interning at Stripe, Akira realized that a high-fidelity “staging” was the key to unlocking dev productivity and was surprised that most companies don’t have proper staging that actually mirrored prod. Now they’re solving that problem.\n\n![uploaded image](/media/?type=post&id=99708&key=user_uploads/3010892/3718524e-2a06-4aef-9bb2-0b6d9e18869e)\n\n", "url": "https://www.ycombinator.com/launches/PwC-arga-labs-real-world-sandboxes-for-multi-app-agents-and-software", "votes": 121, "created_at": "2026-04-13T19:58:01.818Z" } ] }, { "id": 31414, "name": "Dreach", "slug": "dreach", "former_names": [ "Drip" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8eec4067ada1ceb62324834a6da7831196618472.png", "website": "https://dreach.ai", "all_locations": "San Francisco, CA, USA", "long_description": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.", "one_liner": "staffing firms with dreach grow revenue faster.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777049103, "tags": [ "B2B", "Recruiting", "Messaging", "Sales Enablement" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dreach", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/dreach.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/joindrip", "x_url": "https://x.com/Drippaygmi", "fb_url": null, "cb_url": null, "github_url": "https://github.com/DripYCx26", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8eec4067ada1ceb62324834a6da7831196618472.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": 3330353, "full_name": "Mike Levin", "title": "Founder/CEO", "founder_bio": "dreach watches your ATS and your network. when someone starts hiring, you get the manager who owns the role and your warmest way in.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mikelevin-/", "x_url": "https://x.com/mike_drip", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9f6504e75ab0a729c79d4cb170d8d97794be178b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31415, "name": "Synphony", "slug": "synphony", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.png", "website": "https://www.synphony.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Strawberry farming is a $3B industry in California alone with 60% labor cost using 40-year old software. Synphony provides strawberry picking robots and software services including: bed-level analytics, data pipeline integration, and agentic solutions.\r\n\r\nSynphony's \"side hustle\" is selling data, evals, and viral demos to robot foundation labs while building capacity for general robot deployments. We've started with strawberry farming for great margins and outdoor data moat, but also received requests for robots in semi-conductors and autonomous space labs. \r\n\r\nSynphony's team has won over 15 hackathons together (taking home 4 Jensen-signed GPUs!). Sean did ML research at NVIDIA and led AI products used by IRS and Citibank. Lucas' research spanned robotics, IoT devices, and neuromorphic computing. Alex architected an app with 400k users. ", "one_liner": "robots & software for farms", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778272380, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/synphony", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/synphony.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109990424", "x_url": "https://x.com/im_sean_wu", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/53a6cd89169bae47c2b36df57db7197b466fab96.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": 2518723, "full_name": "Sean Wu", "title": "Founder/CEO", "founder_bio": "prev. NVIDIA AI & Stanford Bio Research\nvisited 25 countries, wrestled for 7 years, saved 3 lives, and won 5 hackathons\nlet's talk! https://calendly.com/sean-synphony/week-of-6-15-synphony-yc-26-fundraising-chat", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seanwu2027/", "x_url": "https://x.com/im_sean_wu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4cb4e5dc190e3631bb87ea9d34a311aef8182664.jpg" }, { "user_id": 2385109, "full_name": "Lucas Amlicke", "title": "Founder/CTO", "founder_bio": "Pursued research in neuromorphic computing, Human AI system optimization, and IoT cybersecurity during my undergrad at Santa Clara University for computer science and engineering. \nI always want to be on the cutting edge of technology so I can push the envelope of what is feasible. I like putting the latest tools to the test for improving my efficiency.\nCurrently I'm focused on leveling up physical intelligence to make robots into co-workers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lucas-amlicke/", "x_url": "https://x.com/lukeamlicke", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bb82fd000c915a8d8b0fabed99d06c21bb023a7c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101718, "title": "Synphony - Automating Agriculture With Robots", "tagline": "Deploying Robots to Strawberries & Beyond", "body": "We're building robots that pick strawberries.\n\nCalifornia strawberries are a $3B industry. \\~60% of that is labor cost — and that cost keeps climbing while the workforce shrinks. Growers are losing harvests they can't afford to pick. We’re working with California’s largest strawberry producers to solve this problem.\n\nWe send robots into the field to pick the fruit. Lower cost per pound, higher yield per acre, and software that finally replaces tools the industry has been running on for 40 years.\n\nRobots just hit the crossover point with field labor. Strawberries are the wedge. Berries are $15B. Every other outdoor task — row crops, manufacturing lines, defense, anywhere robots have to actually show up and work — runs on the same deployment layer.\n\nSynphony (YC W26). If you grow berries, invest in robotics, or want to build robots that do real work outdoors, let's talk.\n\n\n\n![uploaded image](/media/?type=post&id=101718&key=user_uploads/2518723/cdf4be8c-95d2-4a9d-b99c-922620648838)\n\n", "url": "https://www.ycombinator.com/launches/QSc-synphony-automating-agriculture-with-robots", "votes": 11, "created_at": "2026-05-21T18:47:32.397Z" } ] }, { "id": 31416, "name": "Callab AI", "slug": "callab-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png", "website": "https://callab.ai", "all_locations": "San Francisco, CA, USA", "long_description": "58% of the $400B call center industry runs on on-prem phone systems, and until now bringing AI voice automation to them meant ripping out their entire infrastructure first. That's the largest unserved segment in the market. Callab AI connects directly to legacy PBX systems like Avaya, Cisco UCM, and Mitel, and automates up to 70% of call volume with zero migration needed.\r\n\r\nWe plug into these environments without requiring a rip-and-replace. We serve clients across three continents, including brands like Dunkin Donuts.", "one_liner": "AI voice agents for on-prem telephony stack. ", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1773416869, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "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/callab-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/callab-ai.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/104352862/", "x_url": "https://x.com/callab_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bec80123dea6792e257e0f71182ccff3bd7496f5.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1938837, "full_name": "Haithem Kchaou", "title": "Founder/CEO", "founder_bio": "Second-time founder; scaled a mobile app to 200K+ downloads.\nLed a sovereign national AI initiative that provided free LLM access to over 300,000 students.\nCo-published 2 research papers on LLM fine-tuning and data collection.\nThomas Jefferson Scholar (top 2% of applicants).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/haithemkchaou/", "x_url": "https://x.com/haithemkchaou", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d88dc68bbf25d956eaec77521f0d1a0d66fdc3d.jpg" }, { "user_id": 1992756, "full_name": "Chehir Dhaouadi", "title": "Founder/CTO", "founder_bio": "- Software engineer who built and scaled telecom and VoIP systems across the Middle East and North Africa.\n- Co-built a mobile app scaled to 200K+ downloads.\n- Deployed local LLM instances in a government datacenter to power free student access at national scale.\n- Co-published 2 research papers on LLM fine-tuning and data collection.\n- Trained over 300 developers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chehirdhawedi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7031305811c8efd3ca070957d28ca356aca4fb33.jpg" } ], "jobs": [ { "id": 99950, "title": "Growth Marketer", "url": "https://www.ycombinator.com/companies/callab-ai/jobs/bJqHpCR-growth-marketer", "location": "UA / PL / LT / EE / FR / ES / Remote (UA; PL; LT; EE; FR; ES)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $80K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 102286, "title": "Head of SDR", "url": "https://www.ycombinator.com/companies/callab-ai/jobs/D1R25qE-head-of-sdr", "location": "Remote", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$40K - $80K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 101754, "title": "Callab AI - AI voice agents for legacy phone systems.", "tagline": "AI voice agents for enterprise contact centers running on legacy phone infrastructure", "body": "Hey YC,\n\nWe are Haithem and Chehir - co-founders of  [Callab AI](https://callab.ai/). \n\n**The problem**\n\nThe global call center industry is worth $400B, and about 58% of it still runs on on-prem PBX infrastructure like Cisco UCM, Mitel, and FreeSWITCH. These systems have been in place for 20 years, with millions invested in deploying and maintaining them. They work, and they're not going anywhere.\n\nAI voice agents have been built on top of cloud telephony providers, which means every solution on the market today requires the customer to already be on cloud phone systems. If you're running on-prem, you're locked out. The only option is a full migration to cloud, which typically takes 12 to 18 months, costs a fortune, and frequently fails. Meanwhile, these same companies are dealing with 30 to 40% agent attrition rates, rising labor costs, and customers who won't tolerate hold times. They want automation but they simply can't access it.\n\nThat's a massive segment of a $400B market sitting there with no solution available to them.\n\n**What we built**\n\nCallab AI is a cloud-based AI voice platform that connects directly to on-prem PBX systems via SIP trunk integration. The phone system stays exactly where it is, calls get routed to our AI agents, handled, and returned. No rip-and-replace, no migration, and we go live in one week.\n\nWe automate up to 70% of inbound call volume across use cases like call routing, appointment scheduling, order status, and customer inquiries. The hard part is the integration layer itself, which requires going deep into legacy telecom infrastructure that most teams don't want to touch. We built it to work with any telephony stack, and that's what makes this possible.\n\nWe're YC P25 and currently expanding into the US, focused on hospitality, logistics, retail chains, and property management. Healthcare and financial services are on the roadmap once we complete HIPAA compliance.\n\n![uploaded image](/media/?type=post&id=101754&key=user_uploads/1938837/5d95733e-2ac9-45b4-8f2b-5ef8a8a3b8ca)\n\n**How we got here**\n\nWe didn't set out to become the on-prem PBX company. We started building AI voice agents in the Middle East and Africa, where cloud telephony providers don't operate, SIP trunks are state-regulated, and every contact center runs legacy infrastructure. We had no choice but to build our integration layer to work directly with whatever phone system was already on the ground. After plugging into old telecom stacks, we realized the problem we solved out of necessity in MEA is the exact same problem sitting untouched in the US. The constraint that shaped our product in a harder market turned out to be a global advantage.\n\n**How you can help**\n\nIf you know anyone at a company running a legacy phone system or on-prem contact center, we'd love an intro. Hotels, restaurant groups, logistics operators, large retail, or property management are all ideal. Also happy to connect with anyone who's worked with managed service providers, value-added resellers, or sold into enterprise telecom IT. Drop me a note.", "url": "https://www.ycombinator.com/launches/QTC-callab-ai-ai-voice-agents-for-legacy-phone-systems", "votes": 14, "created_at": "2026-05-22T15:09:13.748Z" } ] }, { "id": 31417, "name": "Pairio", "slug": "pairio", "former_names": [ "Servio AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f8a4391b575bceb2e2a9bd9d078e12f8f15d5a5.png", "website": "https://pairio.com", "all_locations": "BY, Germany", "long_description": "Pairo is an AI mobile app to help technicians fix broken equipment in factories. Users just take a picture of the broken machine and we search thousands of pages of manuals to find the right solution.", "one_liner": "AI mobile app that helps factory technicians fix broken machines", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1776390899, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/pairio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/pairio.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/pairio-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f8a4391b575bceb2e2a9bd9d078e12f8f15d5a5.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": 2202789, "full_name": "Tim Zinkl", "title": "Founder/CEO", "founder_bio": "Grew up in Brazil, Spain and China, studied in the UK and Germany. Built up a successful events business during my undergrad until COVID hit. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/timzinkl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff8698dc5263239a1d1e5b8806b85be7e32782a0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100014, "title": "Pairio – Fix broken equipment in factories faster", "tagline": "AI-native industrial maintenance software", "body": "Hey everyone 🙂\n\nWe’re [Tim](https://www.linkedin.com/in/timzinkl/) and [Matthias](https://www.linkedin.com/in/matthias-wolf/), co-founders of Pairio\n\n**TL:DR:**\n\n**Machine downtime in manufacturing is expensive. Pairio helps technicians and operators resolve faults faster with voice AI.**\n\n4 plants in Germany are already using Pairio to reduce equipment downtime.\n\n**Ask:** Can you introduce us to plant and maintenance managers at US manufacturing firms? Contact us at [tim.zinkl@pairio.com](mailto:tim.zinkl@pairio.com)\n\n\n\n**The Problem**\n\nUnplanned equipment downtime costs global industries over $1.4 trillion every year – and the root cause isn't broken machines. It's broken knowledge transfer.\n\n* When a machine fails, resolution speed depends almost entirely on whether the one guy who's seen this before is working that day\n* Valuable technical clues are buried somewhere across 400 pages of OEM manuals or locked in outdated software\n* After spending 6 hours getting the line back up, the last thing a technician does is sit down and write a detailed fault report to institutionalize their knowledge\n\nWith the average technician in the US now 50 years old, knowledge is literally walking out the door, further compounding the problem for years to come.\n\n**Our Solution**\n\nWe have shown at 4 factories in Germany that removing these barriers can lead to higher equipment uptime – and the effect compounds with every fault processed with Pairio.\n\nWith our voice-first approach we empower technicians and operators to:\n\n* Simply ask and instantly receive any available technical clue\n* Speak and let Pairio structure their learnings into reusable know-how\n* Use photos and videos to capture even more contextual knowledge\n\nBy focusing on capturing the reality on the shop floor we are building the foundation for agentic workflows that eliminate off the wrench time and optimize equipment uptime.\n\n![uploaded image](/media/?type=post&id=100014&key=user_uploads/2202789/cd939477-89e2-4aa6-8f61-b349edb9c4a8)\n\n**The Ask**\n\nIf you know anyone in plant operations or maintenance in US manufacturing we’d love to talk with them – happy to hook you up with some of Munich’s finest beers as a gesture of gratitude.\n\n**The Team**\n\nWe met 4 years ago at an entrepreneurship scholarship from the Technical University of Munich. Matthias worked as the first engineer at Lio (YC S23) and Tim as the second employee at the battery recycling startup tozero.\n\n![uploaded image](/media/?type=post&id=100014&key=user_uploads/2202789/bc467fea-55a9-423c-b8f3-ff1c7248986c)\n\n", "url": "https://www.ycombinator.com/launches/Q18-pairio-fix-broken-equipment-in-factories-faster", "votes": 23, "created_at": "2026-04-21T17:24:51.584Z" } ] }, { "id": 31418, "name": "Taiga", "slug": "taiga", "former_names": [ "Bayes AI", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b29ba4c51cb703681310648e796b95e0311cd952.png", "website": "https://taigabilling.com", "all_locations": "San Francisco, CA, USA", "long_description": "Taiga automates medical billing for doctor's offices. A doctor uploads their visit data, our AI figures out the right billing codes, checks the claim for errors, and submits it to insurance, dealing with any denials. Faster billing, fewer rejected claims, less busywork. \r\n \r\nWe're Nanda and Adam, friends since 3rd grade. Both of our parents are doctors with their own practices, and billing was always a source of stress and lost revenue for them. We want providers to treat patients while we handle the rest.", "one_liner": "Autonomous medical billing", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1775511630, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/taiga", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/taiga.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/taigaai/", "x_url": "https://x.com/TaigaBilling", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b29ba4c51cb703681310648e796b95e0311cd952.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": 2430601, "full_name": "Nanda Guntupalli", "title": "Founder/CEO", "founder_bio": "Nanda grew up doing billing at his parents' medical practice, giving him firsthand experience with the broken revenue cycle process Taiga is fixing. He published research in IEEE and patented a transformer design deployed across the East Coast, both at 16. While at the University of Pennsylvania, he worked at Refresh (YC P25), where he built RL environments for operating EHRs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nanda-guntupalli", "x_url": "https://x.com/nandaguntupalli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f798e502b1a7200a2a405f10b888c1b2fe51d988.jpg" }, { "user_id": 2909293, "full_name": "Adam Wax", "title": "Founder/CTO", "founder_bio": "Adam co-founded Taiga after growing up working at his parents’ medical practice and seeing how billing kept staff from focusing on patient care. Previously, while studying CS and math full-time, he worked full-time at Refresh (YC P25), building healthcare RL environments that helped secure a $2M frontier AI lab contract. He also built CMS workflows at Hearst used by 2,600+ editors across major media brands.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-wax/", "x_url": "https://x.com/AdamWax3", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62b25beb1d0890abda5dc29e03048bd7894dbb1d.jpg" } ], "jobs": [ { "id": 110414, "title": "Medical Billing Specialist", "url": "https://www.ycombinator.com/companies/taiga/jobs/0IbsKur-medical-billing-specialist", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110415, "title": "Denials & A/R Recovery Specialist", "url": "https://www.ycombinator.com/companies/taiga/jobs/BhnDFsN-denials-a-r-recovery-specialist", "location": "Remote (US)", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$100K - $135K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110416, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/taiga/jobs/Zsi01cN-customer-success-manager", "location": "San Francisco, CA / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$140K - $180K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110417, "title": "Growth Marketing Manager", "url": "https://www.ycombinator.com/companies/taiga/jobs/3rsvyg6-growth-marketing-manager", "location": "San Francisco, CA / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$170K - $220K", "equity_range": "", "experience": "4+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 110418, "title": "Sales Development Representative", "url": "https://www.ycombinator.com/companies/taiga/jobs/KAM5BXz-sales-development-representative", "location": "San Francisco, CA", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $120K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 100548, "title": "Taiga: AI-native medical billing for modern practices", "tagline": "You treat the patient, we handle the rest.", "body": "Hey everyone 👋 We're Adam and Nanda, the founders of **Taiga**.\n\n**tl;dr:**\n\nWe automate the entire medical billing process for independent doctor's offices from coding to claim submission to denial management.\n\n\n\n**❌ The Problem**\n\nIf you've ever talked to an independent doctor about billing, you know it's a nightmare.\n\n* Independent practices either hire expensive billing staff, outsource to clunky billing companies, or doctors do it themselves after hours\n* Claims get rejected for coding errors that could have been caught\n* Denials pile up unfollowed, and revenue leaks everywhere\n\n**🌲 How Taiga Works**\n\nWe automate the entire process.\n\n* **Prior auths + benefits checks** — We check out the patient’s insurance before they come in to make billing seamless\n* **EMR Integration** — We pull visit data automatically as soon as the visit completes\n* **AI-Powered Coding & Scrubbing** — Our AI agents review clinician notes and generate procedure and diagnosis codes that are strongly supported\n* **Claim Submission** — We submit clean claims directly to insurance\n* **Denial Management** — We fight every single denial until the clinic gets paid. Every. Single. One.\n\n**🧾 Proof**\n\n> Taiga has been exceptionally easy to work with, with a responsive team always available to provide support. They successfully secured payment on a previously rejected claim by resolving an issue that had persisted for months; and they were able to accomplish that in just over a weeks time.\n\n\\- Neal Cheskis, LCSW\n\n\\\n**👫 Why Us**\n\nBoth of our parents are doctors with their own practices. We watched billing cause them stress and lost revenue our entire lives. With our background in tech and our deep emotional ties to the space, we are able to provide faster payments and cheaper service so clinicians can focus on what’s important.\n\n![uploaded image](/media/?type=post&id=100548&key=user_uploads/2909293/ba095169-9bac-4f96-97ab-753de18e4288)\n\n**Talk to us!**\n\nIf you're a doctor or know a doctor, we'd love to talk. Visit [taigabilling.com](https://taigabilling.com)!", "url": "https://www.ycombinator.com/launches/Q9k-taiga-ai-native-medical-billing-for-modern-practices", "votes": 44, "created_at": "2026-04-30T14:41:49.238Z" } ] }, { "id": 31419, "name": "StableBrowse", "slug": "stablebrowse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.png", "website": "https://stablebrowse.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Building the Data Infrastructure layer for Physical AI. ", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774843315, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/stablebrowse", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/stablebrowse.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/stablebrowse/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed9bc479aa95e772450f53b3ce34a581c2a1e4b7.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": 1022491, "full_name": "Deepit Shah", "title": "Founder/CEO", "founder_bio": "Founder @ StableBrowse | Ex-Amazon | UIUC - CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/deepit-shah/", "x_url": "https://x.com/deepitshah5", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f33bf28206493d6e6f6096a4ba197395c3295386.jpg" }, { "user_id": 1788727, "full_name": "Jay Mehta", "title": "Founder/CTO", "founder_bio": "StableBrowse | Ex-Amazon | Purdue CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaymehta003", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b4f29d89bb0329510b299a3749a8a2b49b50e88.jpg" }, { "user_id": 1853933, "full_name": "Somansh Shah", "title": "Founder/COO", "founder_bio": "buildling @StableBrowse | Ex-Amazon | Ex-Founding Eng", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/somanshshah", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/840cfefca7cfc1389c83e7ce0658b8c0588e1087.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101987, "title": "StableBrowse - Browser Layer For AI Agents", "tagline": "We enable agents to navigate the web with 70% fewer tokens and 4x faster execution.", "body": "**TL;DR**: StableBrowse is the browser layer for AI agents. We transform dynamic websites into structured knowledge graphs that capture how sites truly work, giving agents persistent memory to complete tasks reliably without starting from scratch every time.\n\n**Ask**: If you’re building agents that browse the web, scrape data, fill forms, monitor prices, or work inside authenticated portals, we’d love to talk! Reach us at [team@stablebrowse.ai](mailto:team@stablebrowse.ai) or schedule a demo at [stablebrowse.com](http://stablebrowse.com).\n\n\n\n**Problem**: AI agents are increasingly being used for real web workflows like tracking competitor pricing, applying for loans, updating CRM records, booking travel, submitting expense reports, and navigating legacy enterprise systems.\n\nMost browser agents still treat every interaction like it’s the first time, repeatedly asking an LLM what to click next. This works in demos, but breaks in production because websites constantly change through:\n\n* Pop-ups and modal interruptions\n* Login and authentication flows\n* Slow-loading dropdowns and forms\n* Layout and UI updates\n* Dynamic page behavior\n\nAs a result, agents become unreliable, expensive to run, and difficult to scale across real-world workflows.\n\n**Solution**: StableBrowse gives AI agents persistent memory of how websites actually work by converting websites into structured execution graphs. Instead of rediscovering workflows every run, StableBrowse learns websites once and reuses that knowledge across future executions.\n\nWe convert pages into structured states, turn buttons and forms into reliable actions, extract clean structured data instead of raw HTML, and detect when websites change to keep workflows reliable over time.\n\nAt runtime, StableBrowse handles:\n\n* Navigating known workflows\n* Filling forms and completing submissions\n* Extracting clean, structured data\n* Handling date pickers and dropdowns\n* Detecting when websites change\n* Returning usable outputs instead of raw HTML\n\nThis allows the LLM to focus on user intent instead of fragile browser interactions. The results are dramatic: 70–80% lower token usage, 3–4× faster workflows, and up to 98% success rate.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/3903c45b-f3a3-4e2d-84dd-f2bb28a9eaf2)\n\n\\\n**Background**: We started StableBrowse after running into these same frustrations ourselves while building browser agents. Our team brings experience from Amazon (agentic commerce), AWS EC2 Nitro, applied AI research, and multiple fast-growing startups.\n\n![uploaded image](/media/?type=post&id=101987&key=user_uploads/1853933/6d012d9d-28ba-49a0-98f2-bcc1e03b979d)\n\n", "url": "https://www.ycombinator.com/launches/QWx-stablebrowse-browser-layer-for-ai-agents", "votes": 37, "created_at": "2026-05-26T19:48:52.452Z" } ] }, { "id": 31420, "name": "Kimpton", "slug": "kimpton", "former_names": [ "Kimpton AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "website": "https://kimpton.ai", "all_locations": "New York City, NY, USA; Remote", "long_description": "In investment management, every decision gets graded. The market prints the answer on a date known in advance, and nobody gets to argue with it.\r\n\r\nKimpton is financial AI that answers to reality. Kimpton OS is the AI-native operating system for investment teams: it does the research and hands PMs structured trades. EarningsBench is a public benchmark where models forecast quarterly earnings before companies report and the reported numbers do the scoring. Koliseum is the set of point-in-time financial environments we build from that work, for labs to train and evaluate models on.\r\n\r\nThe whole industry is fighting underperformance. Active managers trail their benchmarks, and capital keeps bleeding into passive. AI was supposed to fix that, but it hasn't. Funds either stitch together a dozen point tools or babysit general agents all day, and neither gets them to the trade.\r\n\r\nKimpton OS goes straight to it. It ingests a fund's mandate, strategy, and positions, connects to the institutional data the fund already runs on, and returns a structured trade proposal built for that fund. It's built to disagree, because consensus is poison for investment decisions. Instead of telling a PM what they want to hear, it surfaces the breaches and risks they'd otherwise miss.\r\n\r\nThat same work is how we grade AI. Static benchmarks leak into training data. Simulations reward what their authors imagined. A forecast sealed before the outcome exists and scored when the company reports can't be rehearsed or backdated. We started in markets because they're the one place reality answers on schedule.\r\n\r\nWe're two ex-Goldman engineers and an ex-SpaceX engineer. We left to start our own quantitative systematic hedge fund, raised $10M from a family office at 21 and 22, and scaled it to $35M over four years. We learned to trust live results over historical fit. We built Kimpton inside that fund, then productized the stack.\r\n\r\nWe're live with our first institutional client, a $3.3B manager. Our first market is fundamental equity funds from $1B to $10B, and the labs that need to know whether their models can do this work.", "one_liner": "Live Evaluation Arenas for Financial Work", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1774039716, "tags": [ "B2B", "Investments", "Trading", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "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/kimpton", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kimpton.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kimptonai/", "x_url": "https://x.com/KimptonAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc55a7e4190cac127494553294ea19379fdf8fc3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c05d88c003c84f66eaf06c1307a17c8a6414383c.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0d617461c065ef1783493363bb0e3ba302b96fcf.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3054189, "full_name": "Jack Zumwalt", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nJack ran systematic strategies and managed daily operations of Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 22.\n\nPrior to that, he was a detection engineer at Goldman Sachs, writing algorithms to detect malicious threat actors who were trying to cyber attack the investment bank. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jack-zumwalt/", "x_url": "https://x.com/jackzumwalt", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a585e8e607ecb06564580ecac15424b2a6689fa9.jpg" }, { "user_id": 3486330, "full_name": "Adrian Del Bosque", "title": "Founder/Founding Engineer", "founder_bio": "Co-founder, Founding Engineer @ Kimpton AI (YC P26). Building live evaluation arenas for financial work.\n\nAdrian was a founding engineer at Level III Capital, a quantitative systematic trading firm, where he built the trading infrastructure. Prior to that, he was a Senior Cloud & Platform Engineer at Vistra, managing the cloud infrastructure behind the monitoring application for its 44,000 megawatt power generation fleet. He began his career at SpaceX as part of the Automation & Controls team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adriandelbosque/", "x_url": "https://x.com/adriandelb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7170a9e1b4b9407448c4642c76bf9282ed68d3ff.jpg" }, { "user_id": 3193138, "full_name": "Mauricio Ortiz", "title": "Founder/CTO", "founder_bio": "Co-founder, CEO @ Kimpton AI (YC P26). Building live evaluation readings for financial work.\n\nMauricio oversaw the entire technical implementation of the investment process, from research to trade execution, at Level III Capital, a quantitative systematic trading firm he co-founded after raising $10M to seed the fund at the age of 21.\n\nPrior to that, he was part of the critical infrastructure team at Goldman Sachs which handled systems for its consumer bank and the Apple Card. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ortizmauricio01/", "x_url": "https://x.com/ortizmauricio_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b89b45ec14d8f2262c93fd6385c2635f6e1ccb59.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 117920, "title": "EvalRouter by Kimpton: One API for AI evaluation", "tagline": "Evaluate any model against any benchmark", "body": "\n![uploaded image](/media/?type=post&id=117920&key=user_uploads/3054189/67ffcd7e-40fd-40ff-81ad-cacb271d97b1)\n\nWe’re Jack, Mauricio, and Adrian, the founders of Kimpton (YC P26). Today we’re introducing **EvalRouter**.\n\nOne API for evaluating any model against any benchmark.\n\n\n\nWe built it because running an evaluation still means setting up a harness, provisioning sandboxes and babysitting long jobs. Model builders need to repeat this work as their models change and they add new benchmarks.\n\nWith EvalRouter you name a model and a benchmark and get graded results back. Choose a managed model or connect your own endpoint, select a benchmark version and set a spending cap. EvalRouter runs the evaluation and returns the results with the recorded answers and execution details. You can inspect what happened and export the report.\n\nCheckout the demo:\n\n\n\nBefore Kimpton, we built and ran a quantitative fund together. Mauricio and I previously worked at Goldman Sachs, and Adrian worked at SpaceX and Vistra. We raised $10M from a family office, built our own research and automated trading systems, and scaled the fund to $35M in assets. At Kimpton, we’ve been building benchmarks and environments to evaluate AI models. EvalRouter makes those evaluations accessible through one API.\n\nRun your next evaluation at . If you build models or maintain a benchmark, we’d like to hear from you. Reach us at [founders@kimpton.ai](mailto:founders@kimpton.ai).", "url": "https://www.ycombinator.com/launches/Ufw-evalrouter-by-kimpton-one-api-for-ai-evaluation", "votes": 6, "created_at": "2026-10-01T21:50:20.304Z" }, { "id": 113565, "title": "Koliseum by Kimpton, Live Evaluation Arenas for AI Models", "tagline": "Real-world market interaction environments, starting with financial markets", "body": "Today we're launching **Koliseum** by [Kimpton](https://bookface.ycombinator.com/company/31420), live evaluation arenas for AI models in financial work.\n\n**The problem**\n\nStatic benchmarks are contaminated soon after publication, and simulations reward the assumptions their designers encode. \n\nThis simply isn't acceptable in finance or any other professional industry. A wrong answer or action can be catastrophic and reality eventually shows whether the claim was right. Almost no evaluation waits to find out.\n\n**Koliseum**\n\nBefore Kimpton, we ran a quantitative fund. Backtests never proved alpha; live markets did. Koliseum applies the same test to models: a model commits inside an arena, the record is sealed, and reality supplies the grade.\n\nTwo kinds of arenas:\n\n* **Prediction Arenas** seal a forecast before the outcome exists and score it against consensus, market, and statistical baselines when reality resolves.\n* **Action Arenas** give a model a bounded task and real tools, then verify success from the resulting system state.\n\n![uploaded image](/media/?type=post&id=113565&key=user_uploads/3054189/789d031b-cca8-4596-8921-dbc9f1544cb4)\n\nThe first Prediction Arena is already running. **EarningsBench** seals earnings forecasts for public companies 24 hours before each release and scores them against consensus and a statistical baseline once results are public.\n\nTwo things are already clear: most open-weight models reproduce consensus exactly, and a simple statistical baseline is harder to beat than a leaderboard alone would suggest.\n\nAlong with these developments, we are introducing a new concept in evaluation: **reality-as-a-judge**.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=113565&key=user_uploads%2F3054189%2Fc6c1ba2c-4e77-4ebc-be71-675f0abd71a6&variant=large)\n\nMost open-ended evaluations are graded by another model or by a human rubric, so the score inherits the grader's assumptions. In reality-as-a-judge, the grader is the outcome itself.\n\n[More info on Koliseum](https://www.kimpton.ai/koliseum)\n\n[Methodology](https://www.kimpton.ai/methodology)\n\n**Our ask**\n\nReach out if:\n\n* You work on post-training or evals at a lab and want your model in the first private cohort. Results stay private unless you publish them.\n* You run a trading firm or a prediction venue and want models scored on your own resolving questions, or want to co-run a public arena.\n* You have a workflow (any industry!) with a verifiable end state and want it turned into an Action Arena.\n\nor know anyone who does.\n\nWrite to us at [founders@kimpton.ai](mailto:founders@kimpton.ai). Thanks for the support!", "url": "https://www.ycombinator.com/launches/TXh-koliseum-by-kimpton-live-evaluation-arenas-for-ai-models", "votes": 3, "created_at": "2026-09-02T16:01:08.067Z" }, { "id": 102078, "title": "Kimpton: Cursor for portfolio managers", "tagline": "AI-native terminal where agents do the research and propose the trades", "body": "**TL;DR** AI can’t trade, but portfolio managers can. Kimpton combines high-resolution public financial markets data, portfolio manager strategy/mandate, portfolio holdings, and transaction data to generate trade ideas for managers.\n\n\n\n**Our Background**\n\nWe are former Goldman Sachs and Vistra Energy engineers who started a quantitative hedge fund together in 2021 after raising $10M from a family office at the ages of 22 and 21 years old, scaling it to $35M at its peak.\n\nWe spent four years systematically trading using the tools that we built in-house to support our systems. Internally, we developed Kimpton to automate many of our own workflows.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/7f252d74-65d7-4557-92f0-59383e3a782a)\n\n**The Problem**\n\nAI can’t trade. After all, LLMs are the most overfit backtest in all of human history. They are consensus machines and sycophantic by nature. As a result, AI goes largely unused by portfolio managers today.\n\nAgents finally had depth in 2025. We tested LLMs on the markets and were unimpressed with the output. LLMs can’t trade because they are consensus machines and sycophantic by nature. They lack the edge that portfolio managers provide.\n\nAI can’t trade like a portfolio manager, but they can research at 100X the efficiency of an investment analyst. For this reason, Kimpton revolves around the portfolio manager, solving increasingly all of the workflows that they need.\n\nAnalysts spend weeks aggregating data and synthesizing it to generate singular trade ideas that are passed up to portfolio managers for review. It’s time for a change.\n\nInvestment management is built on the idea that analysts and PMs need to spend their days staring at screens all day to find edge in the markets. \n\nTo refactor the investment management industry, we can’t simply provide better tools. We have to automate the entire research layer instead.\n\n**The Solution**\n\nKimpton automates the analysis layer by securely ingesting firm-wide context, portfolio, and transaction data to synthesize fully-formed trade recommendations fitted to their portfolio.\n\nPortfolio managers can challenge the results of the trade proposals through a process we call Adversarial Review, an agentic Socratic questioning to assist portfolio managers in coming to their own conclusions.\n\n![uploaded image](/media/?type=post&id=102078&key=user_uploads/3054189/62ecf56b-91f8-4c4d-a883-6a8be7df6108)\n\nWe developed a harness specifically for the financial markets to make aggregation efficient, fast, and accurate. It has access to high-quality institutional data sources through Factset, Massive, and Tiingo. Real-time data on tens of thousands of global assets across equities, ETFs, indices, insider trades, SEC filings, events, transcripts, company fundamentals, corporate leadership, and more!\n\nOur AI agents also provide portfolio managers with the ability to generate many different types of artifacts, such as real-time dashboards, institutional-grade reports, and comprehensive visualizations.\n\n**Traction**\n\nKimpton is deployed and generating trade proposals on billions of dollars of assets under management today.\n\nPortfolio managers are using Kimpton to monitor their exposures, understand investment thesis drift, earnings coverage, manage positioning across teams, investor reporting, and as an investment team collective brain.\n\nPortfolio managers are underserved today when the potential to refactor the way they work is massive. Kimpton is focused on improving the lives portfolio managers who are actively making decisions in the public markets.\n\n**Ask**\n\nIf you know anyone who manages assets a hedge fund, family office, mutual fund, ETF manager, or other public markets manager — we’d love to speak with them.", "url": "https://www.ycombinator.com/launches/QYQ-kimpton-cursor-for-portfolio-managers", "votes": 9, "created_at": "2026-05-28T07:12:24.038Z" } ] }, { "id": 31421, "name": "Lamina Labs", "slug": "lamina-labs", "former_names": [ "Lamina AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f3c20c1d636f955e4a6afb30207ec372d5f1a4f.png", "website": "https://laminalabs.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Lamina Labs is building infrastructure for near-real-time structured video generation.\r\n\r\nMost AI video is built for cinematic clips. Lamina is built for useful videos that break down ideas, workflows, and AI answers. Our first product, Simi, turns prompts and documents into whiteboard-style explainer videos in seconds", "one_liner": "Near-real-time video infrastructure for LLMs", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1773199517, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lamina-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lamina-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lamina-labs/about/", "x_url": "https://x.com/laminalabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f3c20c1d636f955e4a6afb30207ec372d5f1a4f.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": 2592448, "full_name": "Sudip Rokaya", "title": "Founder/CEO", "founder_bio": "Sudip is co-founder of Lamina Labs, building the video infrastructure for LLMs. He studied CS and Math at MIT and did ML research at MIT's McGovern Institute. He represented Nepal at the International Olympiad on Astronomy & Astrophysics as his team's top scorer, and has published two math papers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sudip-rokaya-675604279/", "x_url": "https://x.com/itsrealranky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/61c9ab61ce6b6b091fb66dcd00cf16a7a28721ea.jpg" }, { "user_id": 1099724, "full_name": "Kartikesh Mishra", "title": "Founder/CTO", "founder_bio": "Co-founder of Lamina Labs (YC P26) | EECS @ MIT BSc' 24 MEng' 25 ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mk314k/", "x_url": "https://x.com/mk314k", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d45f8f72e98f2844ece8e9e937347ea7c774b4a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 104668, "title": "Simi: The Fastest AI Whiteboard Explainer Video Generator", "tagline": "The Fastest Way to Generate Whiteboard Explainer Videos from a Single Prompt or Documents", "body": "**TL;DR:** Simi is the fastest, easiest, and most cost-effective way to create whiteboard explainer videos. You give it a prompt or a document. It writes the script, draws the illustrations, animates them, adds narration, and hands you a finished video in seconds. Anything from a one minute short to a full hour, in one shot, in 80+ languages. Built by Lamina Labs (YC P26). Use it through the app or the API for training, onboarding, product walkthroughs, sales, marketing, and education at .\n\nHere is an explainer video about Lamina Labs: \n\n## Why we built this\n\nAI video right now is built to look like a movie, not to explain something.\n\nBut most of the video people actually need at work is the boring kind. A training module. An onboarding flow. A walkthrough of the feature you shipped last week. And making one of those is absurdly slow. You either pay an agency thousands of dollars and wait weeks, or you sit in a template editor dragging boxes around for an afternoon and it still looks like you dragged boxes around.\n\nThat is fine if you need one video. It falls apart the moment you need a hundred. A course. Every feature documented. Onboarding in every language your customers speak. Anyone who has priced that out knows the math does not work.\n\n## How it works\n\nYou type what you want. Simi writes the script, draws and animates it, and gives you a properly narrated video in seconds.\n\nThat is the whole thing. No storyboard, no timeline, no boxes to drag. Type \"explain how photosynthesis works,\" or hand it a long compliance doc, and you get a finished video, not a draft. And it does not choke on length. One minute to a full hour, generated in a single shot.\n\nIf your team makes videos, you should be using this.\n\n## What people make with it\n\nTraining and onboarding videos from the docs you already have. Product walkthroughs, one per feature, updated as fast as the product changes. Sales and marketing explainers, in every market you sell into. Course and lecture videos in the Khan Academy style. Faceless YouTube channels and localized social video at volume. Agencies run it through the API to produce explainer videos for their clients.\n\n## What makes it different\n\nAn agency gives you a video in weeks for thousands of dollars. Simi gives you the same video in seconds for a fraction of that. That is the whole pitch, and it is enough.\n\nA few things worth knowing beyond speed. It generates anything from a minute to an hour in one shot. It speaks 80+ languages, so you write once and localize everywhere. And it is built to plug in. Use the app, call the API from your own product, or run it inside agent frameworks like OpenClaw and Nous Research's Hermes.\n\n## Who we are\n\nWe are Sudip and Kartikesh, the founders of Lamina Labs, and Simi is the first thing we have built. We are both from Nepal. We met at MIT and started building together there. We are the first Nepalese founding team to go through YC.\n\nSimi is named after Simikot, the Himalayan village where Sudip grew up. We started with education because that is where this problem hurt us personally. But it is everywhere. Any time someone needs to turn an idea into a clear picture, that is us.\n\n![uploaded image](/media/?type=post&id=104668&key=user_uploads/2592448/ddd4246e-1dae-4302-8e33-7c51d0264d6b)\n\n## Our asks\n\nIf your team spends real money or real time making explainer, training, or onboarding videos, talk to us: [founder@laminalabs.ai](mailto:founder@laminalabs.ai)\n\nWe would love intros to L&D leaders, to agencies making video at volume, and to founders who want video generation inside their own product through the API.\n\nAnd if you just want a video explaining your own startup, **try it:** \\\n**Learn more:** ", "url": "https://www.ycombinator.com/launches/REC-simi-the-fastest-ai-whiteboard-explainer-video-generator", "votes": 32, "created_at": "2026-07-04T06:24:17.819Z" } ] }, { "id": 31423, "name": "BentoLabs AI", "slug": "bentolabs-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ff7747818f703617e1cd9444a5600eef3511337.png", "website": "https://bentolabs.ai/", "all_locations": "Bengaluru, KA, India", "long_description": "BentoLabs is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix.\r\n\r\nAs more teams deploy agents, keeping them reliable in production becomes mission-critical. Bento sits directly in the production loop and gives teams the operational leverage required to scale agent ecosystems without scaling human firefighting alongside them. The result is a system that turns opaque agents into agents that can be monitored, debugged, and improved continuously.\r\n\r\nThe founders learned this problem at Emergent (YC S24), where they built and operated production coding agents used by 5M+ users. Abhinav was hire #1 and helped Emergent hit SWE-Bench #1 and scale from $0 to $100M ARR in just 8 months. Kaushik was hire #2, led full-stack engineering at Emergent, and was key to building the infrastructure that made production agents reliable, observable, and debuggable. Bento's self-learning engine has also lifted ARC-AGI-3 (internal) by 2.6x and Terminal-Bench 2.0 (internal) from 42.2% to 52.4% pass@1 with the same model, tools, and budget.", "one_liner": "Monitoring and learning layer for long-running agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1779852780, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/bentolabs-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/bentolabs-ai.json", "year_founded": 2026, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/bentolabs-ai", "x_url": "https://x.com/BentoLabsAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7ff7747818f703617e1cd9444a5600eef3511337.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/528e9246c120a41e449e0581235ad09a8362c746.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 808941, "full_name": "Kaushik ASP", "title": "Founder", "founder_bio": "Kaushik was hire #2 at Emergent (YC S24), where he led full-stack engineering, built the initial infrastructure for long-running agents, and shipped the mobile-dev agent that converted ~50% better than any other. Previously Decathlon, Pazcare, and Synup.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kaushik-asp-b0b422bb", "x_url": "https://x.com/kacppian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5b9a5d4f81f5ad88d6f3d161ff4638fc69ae02b8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102358, "title": "BentoLabs AI: Monitoring and Learning layer for long-running agents", "tagline": "Get model-jump-sized gains without changing the model: Your agents learn from every production failure", "body": "# **BentoLabs AI: the monitoring and learning layer for long-running agents**\n\n**TL;DR**: BentoLabs AI is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix. Run 101 is measurably better than run 1.\n\n\\\n\\\nHello everyone, we're Abhinav and Kaushik, co-founders of BentoLabs AI.\n\nAfter spending two years at Emergent (YC S24), building and operating production coding agents used by 5M+ users, helping scale from 0 to $100M ARR and topping SWE-Bench twice. We realised as more teams deploy agents, keeping them reliable, observable, debuggable and continuously improving in production becomes mission-critical. Most teams don't have a system for it. They have engineers.\n\n### **The Problem:**\n\nMost production agents fail silently. You have 10,000 traces a day and zero visibility into reasoning drift until a support ticket pops up. That's the easier half! The harder problem is that nothing your agent figures out on one run carries into the next. An agent might solve a complex edge case on run 47, but because nothing carries forward, it burns your budget rediscovering the same fix on run 48.\n\nThis makes production teams spend hours reading logs in one tab just to manually patch prompts in another, on a loop that never closes.\n\n### **The Solution:**\n\n**BentoLabs AI** The monitoring and learning layer for long-running agents.\n\n**Monitoring:** BentoLabs finds every failure instance across your production traces, classifies it, and tracks it before the support ticket pops up.\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/55f2be9c-2363-4f4d-b3cc-98e803c9dbe6)\n\n**Learning:** BentoLabs captures what your agent figures out on every run and makes sure it carries into the next one. Recurring failures get fixed once and stay fixed. Hard-won solutions become reusable. Run 101 starts from everything runs 1 through 100 learned, not from zero.\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/84d43836-11f5-4684-9465-8b02ab715a52)\n\n### **The Proof:**\n\n**Terminal-Bench 2.0 (Internal Run):** we validated our recursive learning engine on Terminal-Bench 2.0, one of the most demanding agentic-shell benchmarks in the field today. Where the official Claude Sonnet 4.5 baseline scores 42.2% pass@1. Our agent scored 52.4%, with the same agent, same model, same budget.A +10.2 percentage-point lift, statistically significant (p < 0.05), with 13 tasks showing wins ≥ +20 pp and only 3 showing losses ([Deep Dive](https://bentolabs.ai/blog/tb2-recursive-learning-lift))\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/016f2897-dcb5-4137-a658-98e0e7ccf525)\n\n\\\n**ARC-AGI-3 (Internal Run):** To see our engine in action, we took on ARC-AGI-3 (25 interactive puzzle games, the hardest agent benchmark we could find). While frontier models score 0.2–0.3% out of the box, 3 games the agent had never solved across \\~30 prior runs were cracked for the first time. ([Deep Dive](https://bentolabs.ai/blog/self-learning-ai-agents-arc-agi))\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/3c51a5a5-c620-41f6-9ae0-23d9f3dda903)\n\n**Why we're building BentoLabs**\n\nWe were the engineers who were the fix for the last 2 years at Emergent, where we spent thousands of hours staring at traces, and watching teams burn hours of their best engineers' time on patching prompts, correcting tool definitions and experimenting with different skills, hoping something will stick. We are building [BentoLabs AI](https://bentolabs.ai/) to move past this repetitive cycle.\n\nWe're already working with teams at unicorn scale. Every conversation with a team running agents in production confirms the same thing: the problem is universal. BentoLabs gives them the operational leverage to scale their agent ecosystems without scaling human firefighting alongside them.\n\nIf your engineers are doing the logs-and-patches rotation or your agents keep hitting the same failures, let's have a [chat.](https://cal.com/team/bentolabs-ai/platform-demo?overlayCalendar=true) Or Email: [abhinav@bentolabs.ai](mailto:abhinav@bentolabs.ai)/ [kaushik@bentolabs.ai](mailto:kaushik@bentolabs.ai)\n\n![uploaded image](/media/?type=post&id=102358&key=user_uploads/2390820/712dcafd-cfe4-42ab-8af8-30aadcbf545d)\n\n", "url": "https://www.ycombinator.com/launches/Qcw-bentolabs-ai-monitoring-and-learning-layer-for-long-running-agents", "votes": 83, "created_at": "2026-06-01T05:47:59.520Z" } ] }, { "id": 31424, "name": "Lab0", "slug": "lab0", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.png", "website": "https://lab0.ai", "all_locations": "Bengaluru, KA, India", "long_description": "Enterprise software implementation is broken, and it has been for decades. \r\nEvery rollout, whether it's a traditional ERP or a new AI system, requires months of manual integration, configuration, and tuning done by armies of system integrators and forward-deployed engineers. \r\nLab0 builds agentic systems that automate this layer, compressing months-long implementations into weeks.", "one_liner": "AI FDEs to make your B2B SaaS Go Live in Days, not Months", "team_size": 7, "industry": "B2B", "subindustry": "B2B", "launched_at": 1775188246, "tags": [ "SaaS", "B2B", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "India", "South Asia" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lab0", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lab0.json", "year_founded": 2026, "city": "Bengaluru", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/lab0-hq", "x_url": "https://x.com/lab0_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54ac65b683433835143a5b5da2159a7c9445255.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": 2088764, "full_name": "Onkar Borade", "title": "Founder/CEO", "founder_bio": "Lab0 | IITB CSE | \nRebuilding the services industry through a Productized Approach ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/onkar-borade/", "x_url": "https://x.com/onkar_borade_10", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6aa6e774265df40c5c857dcaeecb27433fd15a5d.jpg" }, { "user_id": 881443, "full_name": "Lakshya Gupta", "title": "Founder/CTO", "founder_bio": "Building agents to deploy agents at Lab0.ai. Always down to talk about model quirks.\n\nPreviously was a founding engineer at Emergent (YC S24) - scaled it from 0 to $70M ARR - leading integrations, evals and deployments. \n\nStudied Computer Science at IIT Bombay. \n\nMore brags - \nWas All India Rank 12 in JEE Advanced 2020 and won a Bronze medal for India at the Asian Physics Olympiad 2019 held in Australia. \n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lakshya-gupta-0030771ba/", "x_url": "https://x.com/tokenaware", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/024ba893c8a888c3018b9041c9463b62f8097cc8.jpg" }, { "user_id": 2014953, "full_name": "Sujay Srivastava", "title": "Founder", "founder_bio": "Striving towards 0-day Enterprise software Implementation with Lab0 (YC P26)\nIIT Madras Quantum Computing grad\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sujaysriv/", "x_url": "https://x.com/SujaySriv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ea42801eadb04d621edea8b40e418fde37042a7.jpg" } ], "jobs": [ { "id": 102876, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/lab0/jobs/hlPvGkT-founding-engineer", "location": "Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$30K - $60K", "equity_range": "0.10% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Software Architecture", "AI Agents" ] }, { "id": 109013, "title": "Founding Product Marketer (AI-native)", "url": "https://www.ycombinator.com/companies/lab0/jobs/BEZKXau-founding-product-marketer-ai-native", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "₹1.5M - ₹4M INR", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Marketing design", "AI Agents" ] }, { "id": 111521, "title": "Forward Deployed Engineer (FDE)", "url": "https://www.ycombinator.com/companies/lab0/jobs/mb7xcXo-forward-deployed-engineer-fde", "location": "Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$35K - $70K", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Software Architecture", "AI Agents" ] }, { "id": 115426, "title": "Founding GTM (AI-native)", "url": "https://www.ycombinator.com/companies/lab0/jobs/WODO2Yc-founding-gtm-ai-native", "location": "Bengaluru, KA, IN", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$25K - $50K", "equity_range": "0.10% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 101609, "title": "Lab0 - AI FDE for Enterprise Software", "tagline": "Deploy enterprise software in days, not months", "body": "Enterprise software takes months to go live after the sale. Imagine paying for an app on the app store but not being able to use it for 6 months. [Lab0](https://lab0.ai/) solves exactly this.\n\nWe’re building an AI FDE that automates entire post-sales delivery for software companies - all from discovery, solution design, config, to testing and go-live. We’re currently working with Adobe and a couple of system integrators.\n\nThe future of enterprise software is self-serve, where enterprises buy a product, and it gets configured by agents.\n\n[Lab0](https://www.linkedin.com/company/lab0-hq/) is the AI FDE making that real: 6 months → 10 days.\n\n\n\n# **The problem**\n\nIf you've sold to an enterprise, you know this already.\n\nA $200K contract lands. Hand off to post-sales. On a deeper technical discovery of your client’s processes, you realize you need a lot of custom changes to serve them.\n\nThat's the hidden tax on every enterprise sale, 3 months of bespoke FDE / Solution Architect’s work, rebuilt from scratch for every customer. That’s 3 months of lost value for the customer.\n\nEither you wait months to start billing, or somehow show enough ROI in the remaining duration of the contract to get a renewal.\n\n# **What we built**\n\n[Lab0](https://www.ycombinator.com/companies/lab0) is the AI FDE for your (AI?) B2B SaaS. It joins discovery calls and tells you what to ask, generates handoffs, design documents and test plans. It even configures the product, writes custom integrations and tests all the workflows before signing off.\n\n_Six months of services work, done in days._\n\n# **Who we are**\n\n[Onkar Borade](https://www.linkedin.com/in/onkar-borade/) , CS grad from IIT Bombay, saw the problem from inside Oracle, where the implementation team was bigger than the dev team.\n\n[Lakshya Gupta](https://www.linkedin.com/in/lakshya-gupta-0030771ba/) , also CS from IIT Bombay, was an early engineer at Emergent Labs where he scaled the Agent platform from 0 to $100M in ARR with over 5M users.\n\n[Sujay Srivastava](https://www.linkedin.com/in/sujaysriv/) , quantum computing grad from IIT Madras, was building an AI startup for BFSI, where every rollout felt like its own custom project.\n\nWe've sat on every side of an enterprise deployment, and [Lab0](https://www.linkedin.com/company/lab0-hq/) is the software we wished we'd had on every one of those projects.\n\n# **Our ask**\n\n**1. Are you a company selling to enterprises where implementation is eating your team's time?** We'll take one of your hardest customer deployments and run it end-to-end; you'll see the value firsthand.\n\n**2. Intros to Professional Services leaders / Customer Success / Solutions Architects** at enterprise software companies with 20+ person implementation teams. If you've seen this pain from a previous job - even from across the aisle in a product or engineering role, a warm intro goes a long way.\n\nDrop an email at [founders@lab0.ai](https://mail.google.com/mail/?view=cm&fs=1&to=founders@lab0.ai)\\\nor\\\nBook a call at [Lab0-Calendly_Link](https://calendly.com/d/ctzx-ndw-n8b/office-hours-with-lab0)", "url": "https://www.ycombinator.com/launches/QQr-lab0-ai-fde-for-enterprise-software", "votes": 20, "created_at": "2026-05-20T03:31:19.320Z" } ] }, { "id": 31426, "name": "Gojiberry AI", "slug": "gojiberry-ai", "former_names": [ "GojiberryAI", "Superfruits Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a81291bc11ae471a475ddf6ccf1d67360474a8c.png", "website": "https://www.gojiberry.ai", "all_locations": "Paris, Île-de-France, France; Remote", "long_description": "Gojiberry is building the AI GTM team for B2B companies.\r\n\r\nWe start with outbound: Gojiberry finds buyers showing intent, enriches them, reaches out, follows up, handles replies, and books qualified meetings.\r\n\r\nCompanies use Gojiberry to replace the old way of doing outbound: buying tools, hiring SDRs & agencies, testing lists, writing messages, and guessing what works. Gojiberry turns it into one AI team that finds buyers and books meetings.\r\n\r\nEvery campaign makes Gojiberry smarter. It learns which buyers convert, which signals matter, which messages get replies, and which actions create revenue. Over time, Gojiberry uses what works across similar companies and industries to help every new customer get better results from day one.\r\n\r\nLong term, Gojiberry will become the system that finds every revenue opportunity and acts on it: outbound leads, website visitors, inbound leads, old CRM leads, replies, meetings, CRM updates, new campaign ideas, and account expansion.\r\n\r\nThe goal is to make every B2B company able to run a high-performing GTM team without hiring one.\r\n\r\nWe grew from $0 to $2.5M ARR in 10 months, are growing 30% MoM, profitable, and used by 2,000+ customers.\r\n\r\nCustomers get 2-5x more positive replies than traditional outbound.", "one_liner": "AI Go-To-Market agents for B2B teams", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1774430148, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Sales" ], "regions": [ "France", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gojiberry-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gojiberry-ai.json", "year_founded": 2025, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/in/pelall/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a81291bc11ae471a475ddf6ccf1d67360474a8c.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": 2154047, "full_name": "Pierre-Eliott Lallemant", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO of Gojiberry AI | AI Go-To-Market agents for lean sales teams | 1x Exit ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pelall/", "x_url": "https://x.com/pierreeliottlal", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/666060058726b845ec6bd60a5818412d11d07877.jpg" }, { "user_id": 2152249, "full_name": "Romàn Czerny", "title": "Founder/CMO", "founder_bio": "Co-Founder & CMO of Gojiberry AI | AI GTM agents for lean sales teams | 1x Exit (CoCo AI)\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/", "x_url": "https://x.com/romanbuildsaas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4f2d8d8f03fb7cd8eece62763970a856d875baa.jpg" }, { "user_id": 3191646, "full_name": "Dylan TEIXEIRA", "title": "Founder/CTO", "founder_bio": "Co‑founder and CTO of Gojiberry (AI GTM agents for lean sales teams), previously co‑founded Edusign, a paperless attendance SaaS that grew to multi‑million ARR before I sold in 2025.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dylan-txa-b88b0a418/", "x_url": "https://x.com/Dylan_txa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/907fc055029dd847b5c322c8a070db076f029b6d.jpg" } ], "jobs": [ { "id": 112681, "title": "Founding Customer Success Manager - Teams & Growth", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/FNfSZmG-founding-customer-success-manager-teams-growth", "location": "DE / FR / PT / ES / NL / GB / AU / PL / CZ / RO / LV / LT / EE / HR / GR / Scotland, GB / BE / SI / SK / DK / NO / SE / FI / HU / BG / Remote (DE; FR; PT; ES; NL; GB; AU; PL; CZ; RO; LV; LT; EE; HR; GR; Scotland, GB; BE; SI; SK; DK; NO; SE; FI; HU; BG)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "€55K - €80K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 114426, "title": "Founding Customer Success Manager - Teams & Growth", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/Eh2JrP3-founding-customer-success-manager-teams-growth", "location": "BR / AR / MX / VE / CO / CL / UY / PE / Remote (BR; AR; MX; VE; CO; CL; UY; PE)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$35K - $50K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 114755, "title": "Account Executive / Sales Rep - AI / GTM", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/w4u7Gj0-account-executive-sales-rep-ai-gtm", "location": "FR / IT / DE / GB / PT / ES / BE / NL / DK / NO / SE / FI / SI / SK / CZ / PL / RO / GR / Scotland, GB / HR / BG / ME / AT / HU / LT / LV / EE / Remote (FR; IT; DE; GB; PT; ES; BE; NL; DK; NO; SE; FI; SI; SK; CZ; PL; RO; GR; Scotland, GB; HR; BG; ME; AT; HU; LT; LV; EE)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€65K - €125K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 115680, "title": "Account Executive / Sales Rep - AI / GTM", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/8csZWPm-account-executive-sales-rep-ai-gtm", "location": "FR / IT / DE / GB / PT / ES / BE / NL / DK / NO / SE / FI / SI / SK / CZ / PL / RO / GR / Scotland, GB / HR / BG / ME / AT / HU / LT / LV / EE / Remote (FR; IT; DE; GB; PT; ES; BE; NL; DK; NO; SE; FI; SI; SK; CZ; PL; RO; GR; Scotland, GB; HR; BG; ME; AT; HU; LT; LV; EE)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€65K - €125K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 116146, "title": "Account Executive / Sales Rep - AI / GTM", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/6ACjBZn-account-executive-sales-rep-ai-gtm", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$90K - $160K", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 116357, "title": "Account Executive / Sales Rep - AI / GTM", "url": "https://www.ycombinator.com/companies/gojiberry-ai/jobs/lIISMms-account-executive-sales-rep-ai-gtm", "location": "GB / Remote (GB)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $160K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 99079, "title": "GojiberryAI - AI GTM brain that detects buying intent, runs conversations, and books qualified demos automatically", "tagline": "We turn hours of manual prospecting into a predictable flow of qualified demos by handling the entire GTM execution.", "body": "Hey everyone, we’re [Pierre-Eliott](https://www.linkedin.com/in/pierre-eliott-lallemant-343a2b199/), [Romàn](https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/) and [Dylan](https://www.linkedin.com/in/dylan-txa/) - cofounders of [GojiberryAI ](https://gojiberry.ai)👋\n\n\\\n**TL;DR**\n\n**\\\nGojiberryAI identifies high intent leads, detects real buying signals, and automatically launches personalized conversations on LinkedIn from one single platform.**\n\nWe scaled from $0 to $1.4M ARR in 9 months and have already generated millions in pipeline for our customers.\n\nWhat makes us unique is how quickly we identify real buying signals within your ICP.\n\nOn average, our customers see 2 to 5x higher reply rates with GojiberryAI thanks to high intent lead targeting.\n\n[**https://youtu.be/wlzk3LHZklU**](https://youtu.be/wlzk3LHZklU)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.\n\n# 🔴 **The problem**\n\nThe B2B sales market runs on millions of companies trying to generate pipeline every day.\n\nYet most teams still use a stack of tools that don’t really work together.\n\nSo what happens:\n\nMost outbound goes to people who will never buy\n\nReply rates stay stuck around 2–3%\n\nThe best opportunities are missed or reached too late\n\nThere’s no real system behind it :\n\nYou don’t know which ICP actually converts.\n\nYou don’t know which signals matter.\n\nAnd every time you launch a new campaign, you’re basically starting from scratch.\n\nMost tools just execute. They don’t learn. They don’t improve.\n\nSo you keep sending more messages, hoping something works.\n\nThat’s exactly where our GTM Brain comes in to fix this.\n\n# ✅ **What we built**\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/40b7c25b-4fb7-4775-98c3-832c661c5a08)\n\nGojiberryAI is the GTM brain for modern sales teams.\n\nWe started with outbound and are building toward owning the entire pipeline generation stack.\n\nToday we handle:\n\nHigh intent lead detection : we track buying signals across LinkedIn and identify prospects who are actually in market\n\nLead enrichment and scoring : every lead is qualified based on ICP fit and real intent signals\n\nPersonalized outreach : we automatically generate and send messages tailored to the exact trigger event\n\nConversation management : follow ups are handled intelligently to turn replies into booked meetings\n\nOur goal is simple: replace the fragmented stack of scraping tools, CRMs, and outreach tools with one system that actually drives pipeline.\n\n# 📈 **Traction**\n\n$0 → $112K MRR in 9 months, 44% MoM growth\n\n1000+ paying customers\n\nOur customers see 2 to 5x higher reply rates compared to traditional outreach.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) The Team\n\nRomàn, Pierre-Eliott, and Dylan have worked closely together and co-founded GojiberryAI, the GTM Brain for small sales teams.\n\nPierre-Eliott (CEO) is a French entrepreneur and repeat founder. He previously co-founded and exited CoCo AI. He leads product, vision, and company strategy, driving GojiberryAI’s positioning and execution as it scales toward $10M+ ARR.\n\nDylan (CTO) is a French entrepreneur and co-founder of GojiberryAI. He previously co-founded Edusign, a paperless attendance SaaS that scaled to multi-million ARR before being sold in 2025. He leads engineering and AI systems, building the infrastructure that enables real-time intent detection, automated outreach, and end-to-end conversation management.\n\nRomàn (CMO) is a French entrepreneur and repeat founder. He previously co-founded CoCo AI, a Shopify app that grew to \\~$500K ARR before being sold in 2025. He leads go-to-market, growth, and distribution, with a strong focus on turning high-intent signals into pipeline and revenue.\n\n![uploaded image](/media/?type=post&id=99079&key=user_uploads/2152249/3c71b87b-c41b-42f3-89d0-0fab0ea51516)\n\n**_Ask:_** Are you currently looking to generate more qualified demos?\n\nLet’s show you how.\n\nTry our [free trial ](https://gojiberry.ai)here or [book a demo](https://calendly.com/roman-gojiberry/gojiberry-ai-demo-with-the-founders-clone-1) here.", "url": "https://www.ycombinator.com/launches/Pm3-gojiberryai-ai-gtm-brain-that-detects-buying-intent-runs-conversations-and-books-qualified-demos-automatically", "votes": 34, "created_at": "2026-03-25T16:49:47.890Z" } ] }, { "id": 31427, "name": "Napkin Math", "slug": "napkin-math", "former_names": [ "Paper Star" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/43a02b84a6b28b5fb26796fe822a596c638d433c.png", "website": "https://napkinmath.club", "all_locations": "San Francisco, CA, USA", "long_description": "Napkin Math is the personalized AI food journal that people love to use. We gamify nutrition tracking so people are 2x more likely to stick with us than other trackers. Claire, Manuel, and I (best friends for 10 years from MIT) are obsessed with how we can make nutrition fun, and turn fun into health outcomes.\r\n\r\n===\r\nExisting consumer health apps focus on scaling a one-size-fits-all solution: calorie deficits. But they don’t answer the questions you actually have.\r\n\r\nFood is deeply personal, and so is Napkin Math:\r\n\r\nGet the fuel you need for marathon training, while understanding you eat catered office lunches five days a week. Discover what’s triggering your stomach irritation, without sacrificing your weekly dinner with friends. Napkin Math tailors a plan for not only your specific health goal, but also your life.", "one_liner": "AI nutrition coach in your pocket", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1775700750, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/napkin-math", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/napkin-math.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/napkinmath/", "x_url": "https://x.com/napkinmathclub", "fb_url": "https://www.instagram.com/napkinmath.club/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/43a02b84a6b28b5fb26796fe822a596c638d433c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c8c3f422e862f4c11880f59eafc635a90036a161.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3394765, "full_name": "Jynnie Tang", "title": "Founder/CEO", "founder_bio": "Making Napkin Math, the personalized AI food journal that helps people achieve their health goals\nPreviously: Retool, One More Multiverse, MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jynnie/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/194c883ee7171b5e87a5228dc4a14517ea79373e.jpg" }, { "user_id": 797433, "full_name": "Manuel Castro", "title": "Founder", "founder_bio": "Napkin Math is the hyper-personalized AI food journal that helps people achieve their health goals.\n\nPreviously: Sonos, Healthcare Tech, Verkada", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manuelccastro", "x_url": "https://x.com/manny4c", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c97eeb66aa51fdea902f0e1e8541d228440cb529.jpg" }, { "user_id": 3394185, "full_name": "Claire Nord", "title": "Founder/CTO", "founder_bio": "Building Napkin Math, hyper-personalized AI food journal https://napkinmath.club\n\nPrev. Apple OS security, Samsara, MIT 6-3 '19", "is_active": true, "linkedin_url": "https://linkedin.com/in/cmnord", "x_url": "https://x.com/clairen19", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b17eb8d9720c97f51fabae0e5fe5a286c8cce70.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102010, "title": "Napkin Math - hyper-personalized AI food journal", "tagline": "The hyper-personalized AI food journal that helps people achieve their health goals.", "body": "**TL;DR:** Napkin Math is the _hyper-personalized_ AI food journal that helps people achieve their health goals.\n\nJoin at 🧺\n\n\n\n### **THE PROBLEM & THE PRODUCT**\n\nExisting consumer health apps focus on scaling a one-size-fits-all solution: calorie deficits. But they don’t answer the questions you actually have.\n\nFood is deeply personal, and so is Napkin Math:\n\n* Get the fuel you need for marathon training, while understanding you eat catered office lunches five days a week\n* Discover what’s triggering your stomach irritation, without sacrificing your weekly dinner with friends.\n\nNapkin Math tailors a plan for not only your specific health goal, but also your life.\n\n![uploaded image](/media/?type=post&id=102010&key=user_uploads/797433/1842f9f7-7918-4cc3-ab43-38de17ec30ba)\n\n### THE KEY INSIGHTS\n\n_Why hasn’t this been done before?_\n\n1. **Before AI, personalization was impossible**. Tailoring a plan to every chronic condition, allergy, goal, and stage of life was impossible. With frontier models, we’re able to reimagine nutrition experiences from the ground up.\n2. **We understand how to make taking a picture of your food fun.** How come Instagram foodies, who religiously follow “the camera eats first”, don’t also log their food in a journal? Napkin Math perfectly marries the joy of socially sharing food with a rich database that can help foodies feel better every day.\n\n### THE TEAM\n\nWe’ve been friends for a decade since living together at MIT. 🧑‍🧑‍🧒\n\n**Jynnie** worked on a games platform with 1MM players (Multiverse YC W20) and one of the largest Discord Games (Magic Circle, a16z Speedrun) — applying real gamification experience with AI to consumer health.\n\n**Manuel** has cracked product across consumer, healthcare, and hardware, recently leading Verkada’s largest product line — bringing AI to real problems.\n\n**Claire’s** work at Samsara through its IPO has given her insight into how tracking leads to safety outcomes for drivers, and now health outcomes for Napkin Math users.\n\nHappy Tummy, Happy Life 😉 [Try Napkin Math](https://napkinmath.club)", "url": "https://www.ycombinator.com/launches/QXK-napkin-math-hyper-personalized-ai-food-journal", "votes": 25, "created_at": "2026-05-27T03:04:31.577Z" } ] }, { "id": 31428, "name": "Ontora", "slug": "ontora", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png", "website": "https://ontora.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Ontora is an AI Agent that interviews every employee to map how work actually gets done and identify bottlenecks. Consultants spend months doing this manually; Ontora does it in hours.\r\n\r\n", "one_liner": "AI agents that interviews every employee to hand context to AI tools. ", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1773487694, "tags": [ "Robotic Process Automation", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Max led process optimization at Porsche. David built data pipelines in finance. Leon built AI automations at consultancies. They all noticed critical knowledge is trapped inside people's heads and never reaches the people who need it.\r\n\r\nThe team then felt inspired to work on the problem after a tour to Stockholms fastest scaling startups organized by Max, where all three decided to quit their jobs and start a company. " }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Every company already has the answers to most of the questions leadership is asking.\r\n\r\nThe problem: those answers are scattered across hundreds of people, and there's never been a practical way to ask every single employee.\r\n\r\nSo leaders make crucial decisions with partial information or spend months and millions on external consultants to retrieve what the org already knows.\r\n\r\n**What we're building**\r\n\r\nOntora is an AI agent that has a real conversation with every employee in your company within hours.\r\n\r\nIt learns, follows up, and surfaces what people actually do and where they get stuck.\r\n\r\nWe deliver two things: a synthesized answer to the specific question leadership couldn't crack in their last business review (themed insights, process maps, automation roadmap with ROI), and a continuously refreshed operational context that humans and AI agents can both reason over." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Answers in hours instead of months. We imagine truly intelligence native companies that unlock the last proprietary data source left in the enterprise: operational knowledge living in your employees heads.\r\n\r\nEnabling cost reduction, post-merger integration, and AI transformation… within hours and at a fraction of the cost of traditional consulting." } ], "url": "https://www.ycombinator.com/companies/ontora", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ontora.json", "year_founded": 2026, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/ontora/", "x_url": "https://x.com/ontoratech", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/ontora", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/77783f688ca955fad6bf02d0bcff0d2288011691.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2750bcd85d7a83625c723e8099b143de9e784edb.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1846571, "full_name": "Leon Iwanowitsch", "title": "Founder/CEO", "founder_bio": "AI Consulting for Enterprise; 🇨🇭 University of St.Gallen (Europe's #1 Business School), Built Europe's largest Early-Stage StartUp Conference (7k participants e.g. Eric Schmidt), Helped raise 15m Solo GP Fund, Angel Investor", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/leon-j-iwanowitsch/", "x_url": "https://x.com/LeonIwanowitsch", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/091999d38e676fd36c0ab9735d1282401ca33cfe.jpg" }, { "user_id": 2165528, "full_name": "Maximilian Arnold", "title": "Founder/COO", "founder_bio": "1st AI Engineer @ Porsche in procurement. CS at CODE University and Stanford. Won +$80k in hackathons. Built the official honors exchange partnership to Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arnold-max/", "x_url": "https://x.com/maxonary", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f8fee9ed1318020c091b986f7dca072ada839b.jpg" }, { "user_id": 1178744, "full_name": "David Korn", "title": "Founder/CTO", "founder_bio": "AI Projects @ Google, exited previous company to beglaubigt.de (YC F24), Computer Science at CODE University (founded by the largest German Unicorn founders)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/korn-david/", "x_url": "https://x.com/dav1dk0rn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23e82b31b5c7d2f8705c94bdbec42ae0b85ac474.jpg" } ], "jobs": [], "news": [ { "title": "Y Combinator P26: Ontora KI-Agenten, Verborgenes Wissen – Ieon Iwanowitsch, Maximilian Arnold, David Korn", "url": "https://startup-insider.com/podcast/y-combinator-p26-zwei-monate-alt-ki-agenten-weltweiter-inbound-ieon-iwanowitsch-maximilian-arnold-david-korn/", "date": "Apr 27, 2026" } ], "launches": [ { "id": 102685, "title": "Ontora - The Discovery Layer for AI Transformation", "tagline": "5 enterprise customers, 150+ inbound demos (all a month after launch)", "body": "# **One month ago we launched Ontora. Here's what happened**\n\n### Our progress\n\n\\- 5 enterprise customers as design partners (many more to come ;)\\\n\\- 150+ inbound demo calls — we didn't do outbound, they came to us\\\n\\- $700K raised before officially opening our round\\\n\\- 80+ inbound VC calls already lined up for our fundraise\n\n\n\nAnd we released our product live with our first customers !\n\n**1. Why companies are banging down our door:**\n\nEvery company we talk to has the same story: they bought Claude licenses for their teams but merely use it to rewrite emails. The AI transformation stalled because nobody mapped what to actually automate.\n\nThat's the real bottleneck. Not code. Context.\n\nA 800-person European media agency flew to San Francisco to meet us after realizing they'd need 4-5 months and a team of consultants just to understand their own operations. With Ontora, they can map their entire company in days.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/2bd9ca28-443a-46ef-af8c-ad76dd2d6a9f)\n\n**2. What Ontora does for your company:**\n\nOntora deploys AI agents that interview every employee in your company -- not once, but continuously -- to map out how work actually gets done. We turn that into a living context layer that your AI agents can act on.\n\nWhat used to take a consulting firm 4 months and 50-100 manual interviews, Ontora does in days. And because interviews run continuously, your context layer never goes stale. Your organization keeps learning about itself.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/56b07749-ae1e-4244-9064-d1dd122baecc)\n\nHere's how it works:\n\n1. **Deploy** -- Ontora's AI agents reach out to employees across your org through async interviews, meeting them where they work\n2. **Map** -- Every interview extracts processes, decision rules, tools used, handoffs, and tribal knowledge into structured operational maps\n3. **Act** -- The living context layer feeds directly into your AI agents and automations so they have the real-world context they need to perform\n\n\n\n**3. Who's already using Ontora:**\n\n* **A PE firm in San Francisco** -- deploying Ontora across portfolio companies to drive operational efficiency at speed no consulting firm can match\n* **A major European media agency (800+ employees)** -- building their corporate memory to manage enterprise customers like Volkswagen and Bosch\n* **A 1,000-person European roll-up** -- mapping what their remote workforce actually does day-to-day to build a concrete AI automation roadmap\n* **A US facilities maintenance marketplace** -- extracting the proposal rules and customer preferences locked in their sales team's heads to build the context layer for their AI automations\n\n**4. We want to hear from you:**\n\n* If your mid-market company (200-2,000 employees) is planning AI transformation...\n* If your PE/VC firm wants to drive efficiency across portfolio companies...\n* If your company spent 6 figures on consultants to map processes...\n\n...we need to talk.\n\n[ontora.com/demo](https://ontora.com/demo)", "url": "https://www.ycombinator.com/launches/QiD-ontora-the-discovery-layer-for-ai-transformation", "votes": 122, "created_at": "2026-06-08T17:25:40.562Z" }, { "id": 99850, "title": "Ontora - Read your company like a book", "tagline": "We interview every employee to surface what no CEO can see", "body": "We’re [Max](https://www.linkedin.com/in/arnold-max/), [Leon](https://www.linkedin.com/in/leon-j-iwanowitsch/) and [David](https://www.linkedin.com/in/korn-david/) co-founders of [Ontora](https://ontora.com/).\\\n\\\n**TL;DR**\\\n**Ontora is an AI agent that interviews every employee in your company to map how work actually gets done.** Most operational knowledge never gets documented, it lives in people's heads. That’s crucial context inaccessible to decision-makers and AI agents.\\\n**_Ask:_** Imagine you could talk to every employee in your company within 24 hours - What would you ask? Send us your questions. We'll get you the answers: \\\n\\\nOur Launch Video: \\\n\\\n**Problem**\\\n**Poor knowledge sharing costs Fortune 500 companies $31.5 billion every year.**\n\n* **The knowledge lives in people's heads:** 80% of operational knowledge is tacit and never documented\n* 42% of what an employee produced cannot be covered by other colleagues\n* Employees lose 5.3 hours per week searching for information and filling gaps\n* A 1,000-employee company loses $2.4M per year in productivity due to these gaps\n* **AI can't read minds (yet):** 95% of enterprise GenAI pilots deliver zero measurable business impact. Agents fail because they have no context for how operations actually run.\n\n**Solution**\\\nYou pick a question your last business review meeting couldn't answer. Ontora interviews every employee and gets you the insights within 24 hours.\\\nIt’s not a survey! A real conversation that digs deeper and surfaces what nobody thought to ask about.\\\nBuild your company's operational memory to finally operate with complete clarity:\n\n* **Synthesized findings**: Themed insights with impact ratings, an executive summary, and actionable recommendations\n* **Process mapping**: Visual process maps of how work actually flows across teams\n* **Automation roadmap**: Concrete opportunities with ROI estimates, ready to act on\n* **Proprietary context for your AI tools:** Ontora turns what your people know into a proprietary data source your AI stack can finally work with.\n\n ![uploaded image](/media/?type=post&id=99850&key=user_uploads/1178744/68dcb300-dc42-4b79-aa10-9f8ec09af0f4)\n\n", "url": "https://www.ycombinator.com/launches/PyU-ontora-read-your-company-like-a-book", "votes": 144, "created_at": "2026-04-17T15:35:36.009Z" } ] }, { "id": 31429, "name": "Oddpool", "slug": "oddpool", "former_names": [ "Oddpool", "Benchspan" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbb613ad9cc7cb217457623774de2039f44ba7d6.png", "website": "https://www.oddpool.com", "all_locations": "San Francisco, CA, USA", "long_description": "Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets.\r\n\r\nAvi and Ritesh have been roommates since freshman year at Georgia Tech. Avi has a Master's in ML and saved Microsoft $6M/year by building a more accurate model on half the hardware. Ritesh has a Master's in Distributed Systems and made buy-side trading systems at Bloomberg 40% faster.", "one_liner": "Institutional infrastructure for prediction markets", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1773859660, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/oddpool", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/oddpool.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/oddpool/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cbb613ad9cc7cb217457623774de2039f44ba7d6.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": 1579438, "full_name": "Ritesh Malpani", "title": "Founder/CEO", "founder_bio": "Founder, CTO @ Oddpool | Prev. SWE @ Bloomberg\nArchitected systems processing 100K+ TPS across trading infrastructure\n\nCS @ Georgia Tech\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ritesh-malpani", "x_url": "https://x.com/RiteshMalpani", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6fe956a5ab0d66ad3ab712546cc75c6a461df01.jpg" }, { "user_id": 1189439, "full_name": "Avi Arora", "title": "Founder", "founder_bio": "Founder, CEO @ Oddpool | Prev. ML Researcher @ Microsoft\nTrained the prompt injection model at Microsoft which secures 20 billion requests / year \n\nCS @ Georgia Tech\n\n", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/avi-arora/", "x_url": "https://x.com/c0delemons", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca22c46d86e2d65547eba721f1366ec2b77d4a2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101199, "title": "Oddpool: The institutional data layer for prediction markets", "tagline": "Bringing the power of prediction markets to Wall St", "body": "Hey everyone 👋\n\nWe're **Avi** and **Ritesh** — co-founders of **Oddpool**.\n\n**TL;DR**\n\nOddpool helps quant and institutional desks harness the power of prediction markets. We make it easy to access, search, and analyze every venue from one place with the depth and history serious desks need.\n\n**Ask:**  If you're a quant fund, prop shop, market maker, or hedge fund using prediction markets data (or thinking about it), we'd love to talk. Reach us at [founders@oddpool.com](mailto:founders@oddpool.com)\n\n\n\n**The Problem**\n\nData is the lifeblood of modern finance. Every desk, every strategy, every edge starts with it.\n\nYet prediction markets, one of the fastest-growing asset classes in the world, still lack the tooling that makes every other asset class easy for desks to adopt, leaving anyone trying to use this data stuck with three major pains:\n\n1. Fragmentation across venues with no shared symbology\n2. No tick-level history to backtest against\n3. Weeks spent normalizing data instead of generating signals\n\nThese compound the moment real money tries to enter, leaving a glaring problem to be solved.\n\n**Our Solution**\n\nOddpool provides a frictionless experience to start pulling, backtesting, and building on prediction market data from day one.\n\nWe focus on two core capabilities:\n\n1. Universal symbology that maps every market across every venue to one canonical identifier. \n\n ![uploaded image](/media/?type=post&id=101199&key=user_uploads/1189439/52942888-443a-4724-8f78-a11827fcee9f)\n\n2. Tick-level history with full orderbook depth, every trade, and every delta, ready to backtest against \n\n ![uploaded image](/media/?type=post&id=101199&key=user_uploads/1189439/3a45c427-444d-42fc-a3c7-06479f623cf2)\n\n\nOur mission is to drive the institutional adoption of prediction markets, so the world's most accurate signals can finally be used by the desks that move it.\n\n👉 If you resonate, please reach out to us here: [founders@oddpool.com](mailto:founders@oddpool.com)\n\n❤️ Check out our website: ", "url": "https://www.ycombinator.com/launches/QKF-oddpool-the-institutional-data-layer-for-prediction-markets", "votes": 42, "created_at": "2026-05-11T17:49:20.071Z" } ] }, { "id": 31430, "name": "Voquill", "slug": "voquill", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5abd49db087306e856126eb6c4acf3af787f1749.png", "website": "https://voquill.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Voquill is the modern AI-native operating system for medical labs. This software manages the entire workflow of the lab (accessioning, workflow, reporting, coding, compliance, and revenue) and contains modern agentic AI tools to help each step. For example, pathologists can write reports 20% faster through our voice AI coworker.\r\n\r\nIncumbent lab operating systems are old, don't scale with how modern labs work, and can’t integrate existing AI solutions. As a result, labs are either building their own or paying millions for band-aid solutions and consultants. We're building an agentic platform to manage every aspect of the lab and displace the billions spent on legacy management systems.", "one_liner": "The agentic OS for medical labs", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1779284137, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voquill", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/voquill.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/voquill", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5abd49db087306e856126eb6c4acf3af787f1749.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": 2012620, "full_name": "Michael Gibson", "title": "Founder/CEO", "founder_bio": "Michael is the co-founder & CEO of Voquill.\n\nHe spent 5 years at Techcyte, a digital pathology company, joining as a junior engineer straight out of college and rising to VP of Engineering, where he managed a team of 55. At Techcyte, he led the AI team and architected digital pathology systems deployed at Mayo Clinic and other large reference laboratories.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael--gibson/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/44689eb3f731b7a131cfec9b4cc027c56af82af9.jpg" }, { "user_id": 3291143, "full_name": "Henry Habib", "title": "Founder", "founder_bio": "Henry is the co-founder of Voquill.\n\nBefore Voquill, Henry was a Principal at Oliver Wyman, where he led large AI and automation deployments for F500 companies. He previously founded The Intelligent Worker, an AI education and training company with 500K paying students.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hasanainhn", "x_url": "https://x.com/HenryHabibAI", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef8f31624013410da987178407e601b7fe0800fa.jpg" }, { "user_id": 2012629, "full_name": "Josiah Saunders", "title": "Founder/CTO", "founder_bio": "Josiah is the co-founder and CTO of Voquill.\n\nHe led the forward-deployed team developing an AI pathology platform for customer labs (including The Mayo Clinic, Quest, Labcorp) at Techcyte. He was previously a founding engineer at Relay Health (YC S22).\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/josiah-saunders/", "x_url": "https://x.com/josiahsrc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/751a543c5b914fa216c80fafa41e236137f43145.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101652, "title": "Voquill - Voice AI for Pathologists", "tagline": "The AI coworker that helps pathologists work cases faster", "body": "Hey YC,\n\nWe’re Michael, Josiah, and Henry, co-founders of Voquill.\n\n**TLDR:** Voquill is an AI coworker that helps pathologists write cases faster using their voice. Over the last 4 weeks. We’ve onboarded 25+ pathologists.\n\n\n\n**The Problem:** \n\nPathologists are doctors who diagnose diseases by looking at tissues, cells, and fluids. They spend their whole day looking through a microscope, observing patterns, and then documenting their findings. These reports can be repetitive and tedious. **Pathologists bill a total of $30-$40BN each year** **yet a third of that spend goes to documentation**, not diagnosis, which is a massive drag on a field that's already short-staffed.\n\n**Our Solution:**\n\nVoquill is an AI coworker that helps pathologists write their reports faster. Think of it like an AI resident that listens to the pathologist as they work the case and drafts the report automatically. It learns the pathologists reporting style from their old cases, and ensures every report meets the bar for quality. We go beyond dictation and don't generate a transcript, but a finished sign-out ready report instead. This enables pathologists to spend more time on patient outcomes and sign out more cases.\n\nThere is already a shortage of pathologists when compared to the case demand. **This gap is expected to increase to 25% over the next decade.** We’re building Voquill to give pathologists the tools they need to work faster. \n\n**One More Thing:**\n\nVoquill is being used by 25 pathologists from a leading F500 lab, saving each one \\~20% in case writing time every day. We started with voice reporting because it's the highest-leverage moment in the workflow. We’ve since found that it's also the right moment to fix billing: as pathologists describe what they see, **Voquill suggests the optimal CPT codes, helping labs capture more of the $8B+ they currently leave on the table.**  \n\n**The Team:**\n\nMichael and Josiah previously worked at Techcyte, where they led the AI team and architected digital pathology systems. Henry was a Principal at Oliver Wyman, building AI and automation tools for F500 firms.\n\n![uploaded image](/media/?type=post&id=101652&key=user_uploads/3291143/12ea3b4b-4f60-4a6a-8e43-07d68b0eb511)\n\n**Our Ask:**\n\nIf you know any pathology labs or pathologists that sign out cases, please introduce us by emailing michael@voquill.com. Or, book a demo [here](https://calendly.com/michael-voquill/voquill-demo).", "url": "https://www.ycombinator.com/launches/QRY-voquill-voice-ai-for-pathologists", "votes": 5, "created_at": "2026-05-20T16:11:12.316Z" } ] }, { "id": 31432, "name": "Keyframe Labs", "slug": "keyframe-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca6ef21e7c765ce2b9f612cc2ec833a2654c6bd4.png", "website": "https://keyframelabs.com", "all_locations": "Los Angeles, CA, USA", "long_description": "We build human foundation models. Our first family of models powers lifelike avatars that interact with users in real time, enabling AI agents and applications to go beyond text and voice with just a few lines of code. State-of-the-art realism with ultra-low latency at scale.", "one_liner": "Bring AI to life with the world's best interactive avatars", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774290085, "tags": [ "Developer Tools", "SaaS", "B2B", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/keyframe-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/keyframe-labs.json", "year_founded": 2025, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/keyframe-labs-inc", "x_url": "https://x.com/KeyframeLabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/keyframe-labs", "github_url": "https://github.com/keyframelabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca6ef21e7c765ce2b9f612cc2ec833a2654c6bd4.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": 3206626, "full_name": "Parth Radia", "title": "Founder/CEO", "founder_bio": "Parth is co-founder & CEO of Keyframe Labs. Before Keyframe, he spent 5 years at Ericsson on frontier AI, founding and leading a team of 35 building foundation models for voice & video synthesis on one of the world's first petascale human datasets, shipping Ericsson's first generative AI products. Before that, as a research scientist at AT&T Labs he developed novel neural architectures for photorealistic 3D telepresence, enabling the world's first 3D call over production networks. B.S. CS UCLA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parthradia/", "x_url": "https://x.com/parthnradia", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19df1fc54bb17e3b127d5179247e82a7382c1774.jpg" }, { "user_id": 569532, "full_name": "Kaahan Radia", "title": "Founder/CTO", "founder_bio": "Kaahan is co-founder and CTO of Keyframe Labs, building the world's first photoreal, emotionally expressive AI humans for real-time video agents. Previously, he spent five years at Zipline as a Perception Engineer, building their camera-based detect-and-avoid system for autonomous drone operations. His work spans computer vision and applied ML, with research at CVPR and JAMA.\n\nB.A. CS, UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaahan-radia-2ba47354/", "x_url": "https://x.com/kradisme", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/69561b5971be202ad21208b2ba78d5cfb96772ba.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99738, "title": "Keyframe Labs - turn AI into lifelike video calls", "tagline": "Bring AI to life with photoreal, conversational humans", "body": "**tl;dr:** our real-time, generative models turn AI into lifelike video calls. Deploy in minutes with a few lines of embed code. Photorealism, emotion, and scale for just $0.06 per minute.\n\nWe’re [@Kaahan Radia](https://bookface.ycombinator.com/user/569532) and [@Parth Radia](https://bookface.ycombinator.com/user/3206626) from Keyframe Labs. Our interactive video models bring your AI agents and applications to life.\n\n\n\nYou can try a video call for yourself here: . To get a sense for the interactivity and expressive range, try asking for a sad Shakespearean monologue. Or for a “funny” dad joke.\n\n**But why video agents?**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/ad0420da-db57-4562-a1a4-b5db0b0de005)\n\nFace-to-face interaction triggers responses that text and voice simply can’t. Video calls close more deals, language learning with video tutors outperforms audio-only, and human presence drives outcomes in high-stakes interactions (e.g., telehealth, tax prep).\n\nNow that voice has emerged as a primary conversational interface across industries, video is the next leap. Developers and enterprises already use Keyframe to easily deploy photoreal, conversational humans to a wide variety of use cases, including:\n\n* AI roleplay, for corporate training / learning and development\n* AI recruiting, for interview practice and automated screenings\n* Telehealth\n* High-touch customer support\n* AI sales and customer success reps\n* Always-on digital twins of influencers, to scale engagement and hyper-personalize interactions\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=99738&key=user_uploads/3206626/34f670bd-7436-48e9-bd72-2d0f8bd73e44)\n\nSuper simple.\n\n1. Connect your agent or LLM, or choose from our supported providers\n2. Select a persona from our stock library\n3. Drop the embed code into your application\n\nNeed a custom persona or more control? Custom personas are available on enterprise plans, and our SDKs let you roll your own implementation.\n\n**Why Keyframe**\n\nOur research goals from day one have been:\n\n* Make meaningful progress towards beating the uncanny valley\n* Run at real-time, with world-scale efficiency\n\nThe result:\n\n* Industry-leading realism and concurrency limits\n* At a fraction of the cost of competitors\n\n**Get up and running**\n\n* [Sign up free](https://platform.keyframelabs.com/) (no credit card required) and build something cool\n* Have a use case? [Book time with us directly](https://keyframe-labs.cal.com/sales/intro-call)\n* Know a company that could benefit from face-to-face AI interactions? We’d love an intro", "url": "https://www.ycombinator.com/launches/Pwg-keyframe-labs-turn-ai-into-lifelike-video-calls", "votes": 24, "created_at": "2026-04-14T18:57:11.659Z" } ] }, { "id": 31433, "name": "Savant", "slug": "savant", "former_names": [ "Bledger", "DataGate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/460e0811dc62379211d4c46f1467f5deb66e5e23.png", "website": "https://heysavant.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Savant is the company brain every AI-native enterprise runs on. We plug into the tools you already use, capture the written knowledge / undocumented procedures, and serve them to your employees and agents at decision time.", "one_liner": "Company brain every AI-native enterprise runs on", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1781284438, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/savant", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/savant.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/460e0811dc62379211d4c46f1467f5deb66e5e23.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": 3347283, "full_name": "Anthony Kim", "title": "Founder/CEO", "founder_bio": "Founder & CEO, Savant | Prev. Electrical Engineering and Computer Science @ Yale", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anthonyhkim7/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5023defcaa9bbe56b52d2e3494185cab97f2a971.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31434, "name": "Adialante", "slug": "adialante", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/783d9149e0d4fcedf1d788091598886930e15376.png", "website": "http://www.adialante.com", "all_locations": "San Francisco, CA, USA", "long_description": "We know how to improve cancer outcomes by 8x-10x: you catch it early. \r\n\r\nMRI is the most robust and powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill to operate. We've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to the entire world. \r\n\r\nOur mobile MRI is an imaging clinic on wheels. No equipment to buy, no infrastructure needed. For a flat per-scan fee, any medical site can offer MRI cancer screening. Starting with prostate cancer. Then everything else.", "one_liner": "Cancer screening without barriers", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1773702631, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Diagnostics" ], "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/adialante", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/adialante.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/adialante/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/783d9149e0d4fcedf1d788091598886930e15376.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": 1230366, "full_name": "Efrain Torres", "title": "Founder/CEO", "founder_bio": "CEO, making MRI a mass market cancer screening tool. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dr-efra%C3%ADn-torres-85293512a/", "x_url": "https://x.com/ET_adialante", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/452cd32ba0ca720ba8d2cfc14183bb72b94ac899.jpg" }, { "user_id": 1298954, "full_name": "Parker Jenkins", "title": "Founder/COO", "founder_bio": "COO at Adialante. Making cancer screening affordable. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parker-jenkins-486893130/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d03c5ef3dc4acc819f5d3dc4916e815946a04780.jpg" } ], "jobs": [ { "id": 98651, "title": "Electrical Engineer", "url": "https://www.ycombinator.com/companies/adialante/jobs/UMcHMIR-electrical-engineer", "location": "Menlo Park, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$90K - $130K", "equity_range": "0.25% - 0.85%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "CAD Design", "Prototyping", "PCB design" ] }, { "id": 104459, "title": "Senior Quality Engineer", "url": "https://www.ycombinator.com/companies/adialante/jobs/XczOeQ5-senior-quality-engineer", "location": "Menlo Park, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$130 - $165", "equity_range": "0.25% - 0.85%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104460, "title": "MRI Tech ", "url": "https://www.ycombinator.com/companies/adialante/jobs/OyWyAGn-mri-tech", "location": "Minneapolis, MN, US", "type": "Contract", "role": "Operations", "role_type": null, "salary_range": "$9K - $9.2K / monthly", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101289, "title": "Adialante: We're going to screen the world for cancer!", "tagline": "Our second patent just issued, a new way to make MRI.", "body": "**TLDR**: Adialante builds compact and mobile whole-body MRIs. We already have $12.75M in LOIs, $30k in deposits, and our first system will be scanning by demo day.\n\n---\n\n##### **About Us:**\n\n\\\n\\\n\"Disruptive Innovation describes a process by which a product or service takes root in simple applications at the bottom of the market — typically by being less expensive and more accessible — and then relentlessly moves upmarket, eventually displacing established competitors.\" — Christensen Institute\n\nWe’re [@Efrain Torres](https://bookface.ycombinator.com/user/1230366) and [@Parker Jenkins](https://bookface.ycombinator.com/user/1298954), the co-founders of [@Adialante](https://bookface.ycombinator.com/company/31434). We met on the first floor of our engineering dorm. And when we learned what disruptive innovation was, it captured us immediately. But what to disrupt? Trained as biomedical engineers, we both learned about MRI and were in awe of the clinical value. It can diagnose cancers, strokes, dementia, and more. Yet everyone said the same thing: MRI is not accessible.\n\nSo we knew what we had to do: disrupt the industry.\n\nOver the past six years, we've invented new ways to do MRI, won millions in competitive grants, published research, secured patents (#12,625,209, #12,372,595, more to come), and built a team. And, now, we’re well on our way to disrupting the industry.\n\n##### **Problem:**\n\nWe know how to 10x cancer outcomes: **you catch it early**. MRI is the most powerful cancer-detection tool in the world, yet systems cost millions to purchase, take months to install, and require high levels of technical skill. The result? We only use MRI when it's too late.\n\n##### **Our solution:**\n\nWe've redesigned MRI from the ground up with new physics, algorithms, and hardware, all to bring cancer screening to all of us. Our MRIs:\n\n* use 50% less hardware\n* are 40% shorter and 80% lighter\n* are whisper-quiet and much less claustrophobic\n* and require no specialized infrastructure\n\nAll while maintaining the diagnostic quality patients need.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/e7c9bf11-8868-457b-aced-78bd369559f5)\n\nBut like Waymo, we won't sell our hardware — we'll own and operate it. We'll bring our MRIs to clinics in mobile trailers, handle its operations, and continuously improve our AI software after every scan. We're an imaging clinic on wheels. So instead of a clinic waiting months and paying millions, clinics will wait hours and pay hundreds.\n\n![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/31ce218b-56df-4fc3-9450-5af5eea83895)\n\n---\n\nWe're starting with prostate cancer. **Over 1M men every year require an MRI before a prostate biopsy, but virtually none of the urology clinics that treat them can offer one.**\n\nAfter our per-scan fee, a clinic will collect the insurance reimbursement and make a profit. It's a win-win-win: we get the recurring revenue, they get a new revenue stream, and patients get the best imaging technology in the world. From there, the same piece of hardware expands to renal, breast, and brain scanning **until annual screening for high-risk cancers is the norm, not the exception.**\n\n**Traction:**\n\n* 6 clinics signed up\n* $12.75M in LOIs for scanner utilization\n* $30k deposited from a top ten urology clinic to reserve their spot in line\n* MRI assembled\n\n ![uploaded image](/media/?type=post&id=101289&key=user_uploads/1230366/1fa5afed-cb5b-4f8d-a3f0-46a430043c0e)\n\n\n##### **Asks:**\n\nIntros to Urology clinics\n\n##### **Open Invitation:**\n\nWant to see our scanner? Shoot us a message! We’ll show you our system in person!", "url": "https://www.ycombinator.com/launches/QLh-adialante-we-re-going-to-screen-the-world-for-cancer", "votes": 31, "created_at": "2026-05-13T18:24:48.396Z" } ] }, { "id": 31435, "name": "Lumius", "slug": "lumius", "former_names": [ "Lumius Imaging" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19ff35f4e54afb89b7ab4ec1ed26198fc61066ae.png", "website": "https://www.lumius-imaging.com", "all_locations": "Durham, NC, USA", "long_description": "Ultrasound today is still mostly 2D. Clinicians have to imagine the 3D anatomy in their head while also moving the probe at the same time. This makes procedures like vascular access hard to learn and perform consistently, especially for beginners. ~50% fail on their first attempt. Hospitals also spend millions each year on 2D ultrasound training. Meanwhile, existing 3D ultrasound devices can cost >10× as much.\r\n\r\nLumius is building fast, smart, and accessible 3D ultrasound systems to eliminate this 2D guesswork. Our technology shows a clear, real-time 3D view of what’s inside the body. It works over a large volume, not just a thin slice. The device is also affordable, compact, and portable.\r\n\r\nWe are starting with vascular access, especially central line. Future use cases include blood clot detection, tumor diagnosis, and biopsy guidance. Our long-term vision is a universal 3D ultrasound platform that brings easy-to-use, real-time imaging to a wide range of clinical and eventually consumer applications.\r\n", "one_liner": "Fast, smart, accessible 3D ultrasound that anyone can use", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1775165077, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lumius", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lumius.json", "year_founded": null, "city": "Durham", "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/19ff35f4e54afb89b7ab4ec1ed26198fc61066ae.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": 3059826, "full_name": "Tri Vu", "title": "Founder/CEO", "founder_bio": "Cofounder @ Lumius. PhD in BME from Duke. Trying to make ultrasound devices that people want.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tri-vu-pa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f103af53156bc1772a94c13972b0651aab27e19f.jpg" }, { "user_id": 3128595, "full_name": "Luca Menozzi", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Lumius. PhD from Duke in ultrasound and photoacoustic imaging.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/luca-menozzi-7490a6154", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d06b8920e307695f0fb3206f2f623962ca19c4ed.jpg" } ], "jobs": [ { "id": 97971, "title": "Founding Hardware Engineer - ASICs & Embedded Systems", "url": "https://www.ycombinator.com/companies/lumius/jobs/XPM2fPZ-founding-hardware-engineer-asics-embedded-systems", "location": "Durham, NC, US / Remote (San Francisco, CA, US; Seattle, WA, US)", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$120K - $160K", "equity_range": "0.50% - 2.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "The Top Hardtech Startups in YC P26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-hardtech-startups-yc-p26/", "date": "Jun 10, 2026" }, { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 04, 2026" }, { "title": "The Top 5 Bio and Healthtech Startups in YC P26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-bio-healthtech-startups-yc-p26/", "date": "May 14, 2026" } ], "launches": [ { "id": 101060, "title": "Lumius — The 3D Camera for the Body", "tagline": "Fast, smart, accessible 3D ultrasound for everyone", "body": "**TL;DR:** Lumius is making real-time, accessible, and intelligent 3D ultrasound to advance beyond today’s widely used 2D ultrasound (500 million scans annually). Our vision is to make 3D ultrasound a universal camera for the body.\n\n\n\n**Backstory**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/d6bfe836-eb86-43cf-af8f-cf653183cebc)\n\nLuca Menozzi, Chenhang Li, and I bonded over ultrasound during our PhDs at Duke. For years, it has bothered us that ultrasound looks largely the same as it did decades ago. It is safer and more accessible than imaging tools like PET, CT, or MRI, yet it has never quite become as widely used in everyday care as it should be.\n\n**The Problem**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/a37bfe1d-0a2f-4738-ac51-c7628335098e)\n\nThe vast majority of ultrasound imaging today is still 2D. Clinicians have to maneuver a probe while mentally reconstructing 3D anatomy from flat images. That makes ultrasound hard to learn and difficult to use, especially for newer clinicians.  3D ultrasound does exist today, mainly for cardiac and fetal imaging, but current systems cost roughly 10x more than standard 2D ultrasound machines.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=101060&key=user_uploads/3059826/63de8f91-ad1d-4cd2-abdc-cbd2461fcd5f)\n\nOur tech shows a clear on-the-fly 3D view of what's inside the body with AI assistance. Instead of relying on thin 2D slices, users see the full volume in context, eliminating the 2D guesswork that makes ultrasound difficult to use. \n\nOur device will be affordable, compact, and portable. AI integration will also make it context-aware and intelligent, guiding users by explaining what they’re seeing and what to do next. For example, automatically detecting and extracting blood vessels, nerves, muscle, and more. \n\nWe're starting with vascular access, particularly central line placement. This is a procedure where \\~50% of first attempts fail, especially among new clinicians. And hospitals spend millions each year training clinicians on 2D ultrasound. From there, we will expand to blood clot detection, nerve block imaging, tumor diagnosis, and biopsy guidance. Our long-term vision is to make 3D ultrasound a universal camera for the body, accessible to everyone. \n\n**Our Asks**\n\nWe'd love to hear from:\n\n* **Clinicians and hospital innovation teams** dealing with vascular access, nerve blocks, and/or ultrasound-guided procedures\n* **Med device innovators** or anyone in the healthcare/medtech space that are interested in 3D imaging guidance\n* **Anyone with feedback** on medical imaging, hardware, or FDA pathways\n\nPlease reach out to us at [contact@lumius-imaging.com](mailto:contact@lumius-imaging.com) or [book a quick call](https://calendly.com/contact-lumius-imaging/30min)\n\nSources: ", "url": "https://www.ycombinator.com/launches/QI0-lumius-the-3d-camera-for-the-body", "votes": 21, "created_at": "2026-05-08T21:35:39.201Z" } ] }, { "id": 31436, "name": "Prototyping.io", "slug": "prototypingio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.png", "website": "https://www.prototyping.io", "all_locations": "San Francisco, CA, USA", "long_description": "Prototyping.io turns CAD designs into real mechanical parts through an AI-driven manufacturing system. We analyze designs for manufacturability and automate production workflows to deliver high-quality parts faster and at lower cost.\r\n", "one_liner": "Autonomous manufacturing for mechanical parts", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1774425608, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "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/prototypingio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/prototypingio.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prototyping-io", "x_url": "https://x.com/prototyping_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f7df040bbed273d21312d9b7e349583e363f5e4.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": 3328377, "full_name": "Revanth Bodepudi", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Prototyping.io\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/revanth279/", "x_url": "https://x.com/revanth279", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6262443f88c0ccefeb0412b20e0754186b3006a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100912, "title": "Prototyping.io - Autonomous Manufacturing for Mechanical Parts", "tagline": "AI-driven manufacturing system that turns CAD designs into high-quality mechanical parts as fast as one day", "body": "# \n\n**TL;DR**\\\n[Prototyping.io](http://Prototyping.io) is rebuilding the design-to-manufacturing workflow from the ground up with an AI-driven approach, automating the path from CAD design to production at scale.\n\n\n\n**The Problem**\\\nOver $1T is spent annually on mechanical part manufacturing, yet the process remains largely manual.\n\nGetting parts made still takes weeks, often with high costs and inconsistent quality. Manufacturers spend days on DFM, sourcing, programming, and setup planning before production even starts. These delays slow hardware companies down and stretch product iteration cycles.\n\nBuilding locally is still expensive, largely due to fragmented operations and low machine utilization. Many companies look offshore for lower pricing, but shipping timelines, tariffs, and supply chain delays often slow product development even further.\n\n**What We’re Building**\n\n[Prototyping.io](http://Prototyping.io) is building autonomous manufacturing for mechanical parts by automating the workflow between CAD designs and finished parts.\n\nThe workflow today looks like:\n\nCAD → DFM → Planning → Sourcing → Programming → Setups → Manufacturing Execution\n\nThis workflow is being rebuilt with AI-native systems and physical AI models for manufacturing.\n\nOur approach combines AI-driven manufacturing intelligence, workflow automation, and eventually autonomous execution through industrial robotics and highly automated production systems. The goal is to dramatically reduce lead times, improve quality consistency, and enable more efficient manufacturing at scale.\n\n**What We’re Seeing**\n\nDemand for faster and more reliable manufacturing is growing across robotics, AI infrastructure, energy, automotive, defense, and other industries.\n\nWe’re already helping companies ranging from early-stage startups to multi-billion dollar enterprises reduce hardware iteration cycles from weeks to days by delivering high-quality parts for prototyping and early production.\n\n**If This Resonates**\n\nIf you’re building hardware and want to move faster, we’d love to work with you.\n\nIf you’re interested in robotics, physical AI, manufacturing automation, or autonomous manufacturing and want to join the [Prototyping.io](http://Prototyping.io) team, we’d love to talk.", "url": "https://www.ycombinator.com/launches/QFc-prototyping-io-autonomous-manufacturing-for-mechanical-parts", "votes": 16, "created_at": "2026-05-07T14:20:20.316Z" } ] }, { "id": 31438, "name": "Result", "slug": "result", "former_names": [ "SimpleClaw" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2222cfb6a7593b9232b13e3ed01e467e5d13d35.png", "website": "https://result.dev/", "all_locations": "", "long_description": "Result is where the next generation of founders start and run their companies. In one place, you incorporate, open accounts, take payments, launch a product, and run the operational work of the business: marketing campaigns, customer support, content production, and growth experiments, with agents inside Result helping the founder do the work.", "one_liner": "Where new internet entrepreneurs build and run their companies", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1779248549, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "Unspecified" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/result", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/result.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/117364283/", "x_url": "https://x.com/tryresult", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a2222cfb6a7593b9232b13e3ed01e467e5d13d35.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": 1610709, "full_name": "Aaryan Kushwah", "title": "Founder/CEO", "founder_bio": "18, CEO @ Result (P26). Prev. Georgia Tech CompE\naaryankushwah.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aaryan-kushwah", "x_url": "https://x.com/kushwah_aaryan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8690e4b8648fd81387546727dd30ca9052dab790.jpg" }, { "user_id": 2586978, "full_name": "Savio Martin", "title": "Founder/CTO", "founder_bio": "19, Co-founder & CTO, Result.\nsaviomartin.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/saviomartin/", "x_url": "https://x.com/saviomartin7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5153cc518fe084d807539442cd3967ec034fc431.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102824, "title": "Result - where businesses get built", "tagline": "A platform for entrepreneurs to start and operate their businesses.", "body": "**_TLDR:_** Result is a platform for entrepreneurs to start and operate businesses end-to-end. We take users from an idea to building the product, accepting payments, incorporation, and marketing. Our 8 private beta users collectively do $2.8M ARR.\n\nHi YC, [Aaryan Kushwah](https://www.linkedin.com/in/aaryan-kushwah) and [Savio Martin](https://www.linkedin.com/in/saviomartin/) made their first money on the internet starting businesses + side projects, and today **more people _than ever_** are starting businesses.\n\nWe will be where solopreneurs, indiehackers, creative founders, and content creators make _their first internet dollar. **Result is the operating system to start the next generation of businesses.**_\n\n**Let's make our first internet dollar in this post**.\n\n1\\. **Build** - you start using Result _with or without_ a product, let's assume we don’t have one right now\n\nIn this example, we’re building [1600.lol](http://1600.lol) → an SAT learning tool with real past paper questions.\n\nResult can build apps **with payment gateways**.\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/fd663606-9301-47ba-8ae8-143ab3786036)\n\nWe have our **_own_** payment gateway provider with **custom endpoints** to give each user their own payment gateway, keep record of payments, and we’re also working with them to provide **_tax filing capabilities_**.\n\nIf you already have a product built you can connect your existing Github repo and Result will have context, or if you’re a business that doesn’t need a product (service, consulting, etc.) you don’t need to connect anything!\n\n2\\. Simultaneously, it’s going to lock in a **brand** for the business.\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/8dc92a8c-cd3a-4d8b-9b96-4cbd1d4005fc)\n\n3\\. **Sell -** Let’s start selling. First, Result helps you rank better on SEO and then creates content for you to post: reels, blogs, posts and whatever works specifically for your niche.\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/0599fbb0-525e-4cb4-9932-023f728806ad)\n\nThis is a fan favorite feature, **_Tinder for marketing posts_**:\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/bfd69287-1887-4b9e-9f99-4cdd51faf28a)\n\n4\\. **Incorporate** - At this point, once we’re confident the product is doing well → let’s make this a real business. **_You can incorporate on the platform_**. We have a relationship with a registered agent for a whitelabelled service. We’re working extremely hard on this and will be able to incorporate companies **_directly from chat, through an agent, or even through Claude Code._**\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/ca4b1fa5-4a5f-4cec-8ebb-03b139bbdf6f)\n\n5\\. **Analyze** - our biggest advantage of owning the entire flow is **_attribution, cross-data analytics_** and actually driving **_meaningful revenue-boosting insights_**.\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/02885b15-1a2f-4490-a6cf-f3d3c06cd262)\n\nWe’re working on some really cool architecture for attribution, our goal is to be able to generate insights like:\n\n1. This specific format of a social media post drew 10x more views but it targeted the wrong ICP so it converted only 10%, whereas this post that didn’t draw as many views converted better because it was a better target.\n2. The comments on this post resonate with customer support emails requesting this feature and it should be built instead of what the codebase has in place of it.\\\n \\\n **_Context_** - Where does all this information go? Company Brain!\n\nStarting a company on a single platform from scratch gives us a unique place to retain context of the entire business from Day 1. A lot of companies are trying to build company brains for existing businesses, we decided that starting on Day 1 for a new business is the new meta.\n\nAs you operate the business on the platform, the platform learns about your business and continues to become better.\n\n![uploaded image](/media/?type=post&id=102824&key=user_uploads/1610709/d2adb3d2-53aa-4215-8779-25bfcd5db9f1)\n\nThis is how [1600.lol](http://1600.lol) is operated on Result. [1600.lol](http://1600.lol) now does $1200 MRR and is operated from Result. **_You can see how it performs at [lab.result.dev](http://lab.result.dev)_**.\n\nWe’re in private beta and **our first 8 users collectively do $2.8M ARR.**\n\n**_Asks:_**\n\n* If you've built side projects, small businesses before, we'd love to get in touch and show you around!\n* If you know thought leaders or friends in the space (solopreneurship, indiehacking, etc.) we'd love to talk to them to learn more about what they need.\n* If you have experience live-streaming, know teams behind subathons, long-duration live streaming etc, we'd love to learn more for a challenge we're starting in July!", "url": "https://www.ycombinator.com/launches/QkS-result-where-businesses-get-built", "votes": 14, "created_at": "2026-06-09T22:22:11.498Z" } ] }, { "id": 31439, "name": "Parrot", "slug": "useparrot", "former_names": [ "Alchemy" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c249d05a58f649a682096055e9a55a3440fbafa.png", "website": "https://www.useparrot.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Parrot is an agentic OS that understands your business so it can call, negotiate, and coordinate with real humans.", "one_liner": "Agentic operating system for auto repair shops", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774445922, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/useparrot", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/useparrot.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/alchemyai-dev/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2c249d05a58f649a682096055e9a55a3440fbafa.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a5645f99b84e6f3aa96d134332034d5f23809425.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1595457, "full_name": "Phillip Baek", "title": "Founder/CEO", "founder_bio": "Founder, CEO @ Parrot", "is_active": true, "linkedin_url": "https://linkedin.com/in/phillip-baek", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b14166b50741bb99a5b3e0643a288e15925969b.jpg" }, { "user_id": 1407855, "full_name": "Liam McBride", "title": "Founder/CTO", "founder_bio": "CTO at Parrot. UIUC Computer Engineer, originally from Mountain View, CA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ljmcb", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3726a5321080fb6b36d5bad52df22f98a614dbab.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102389, "title": "Parrot - AI-native OS for auto repair shops", "tagline": "Parrot's OS understands the full context of the shop (such as estimates, parts, customers, insurers, suppliers, and payments), so our agents can physically call and coordinate with real people to run the shop on autopilot.", "body": "**Parrot is an end-to-end operating system for auto repair shops.** 🦜\n\n\n\n#### 📈 The pattern\n\nAcross industries, the winners all did the same thing: replace the tool an industry uses to record work with software that runs it.\n\n* **Home services:** QuickBooks → ServiceTitan (\\~$7B)\n* **Construction:** Excel → Procore (\\~$7B)\n* **Restaurants:** Micros → Toast (\\~$15B)\n\n#### 🔧 Why auto repair got skipped\n\nBut the $200B auto repair industry is still stuck on manual phone calls, messages, and emails, because the real work is all human conversation: calling warehouses, chasing adjusters, updating customers. That couldn't have been automated until now.\n\n#### 🤖 What Parrot does\n\nParrot's OS understands the full context of the shop (estimates, parts, customers, insurers, suppliers, and payments), so our agents can physically call and coordinate with real people to run the shop on autopilot.\n\n#### 👥 Who we are\n\nPhillip got his start in biomedical research at Stanford in high school, writing software to automate tedious lab tasks. He later worked on workflow automation for legacy businesses during an internship at Amazon. Liam dropped out of his Master's in Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), where he specialized in applied machine learning and systems automation.\n\nTogether on their last startup, Phillip and Liam automated multimodal workflows for biomedical researchers, and now they're bringing that same workflow experience to the shop floor.\n\n#### 🚗 Where we are now\n\nSince pivoting three weeks ago, Phillip and Liam have been working in collision shops every day alongside owners and operators, learning how the work actually gets done, and have secured two independent auto shops signed at $30K annually.\n\n**Schedule a demo at [useparrot.com](http://useparrot.com)**", "url": "https://www.ycombinator.com/launches/QdR-parrot-ai-native-os-for-auto-repair-shops", "votes": 21, "created_at": "2026-06-01T21:18:27.384Z" } ] }, { "id": 31440, "name": "Mount", "slug": "mount", "former_names": [ "Cybe" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa5208859312a795f7e72dfb9eb2a5149785a216.png", "website": "https://mount.insure", "all_locations": "San Francisco, CA, USA", "long_description": "TLDR: Mount is building the AI insurance carrier, starting with liability coverage for deployed AI agents. As everyone moves AI Agents into production and gives them more responsibility, we help businesses insure and secure them.\r\n\r\nWhenever responsibility shifts from human operators to autonomous systems, so too does the liability that accompanies it. The systems also introduce new risks: agentic software failures, prompt injection attacks, autonomous workflow errors, data leaks, and more.\r\n\r\nLegacy insurance was not built for this. Existing policies are often silent, ambiguous, or exclude autonomous software, and traditional insurers lack the data and technical capability to assess deployed AI Systems.\r\n\r\nOur first product, the Mount AI Liability Policy, is built for mid-market and enterprise companies deploying autonomous AI agents in real business processes. We scan and red-team AI deployments, quantify operational risk, help fix vulnerabilities, and insure the residual risk with purpose-built AI liability coverage.\r\n\r\nMount is best thought of as a highly automated version of today's commercial insurance carriers, which run on manual workflows, layers of intermediaries, and tens of thousands of employees. AI enables automation of underwriting, pricing, policy issuance, claims, fraud detection, customer support, and distribution. We believe that the best way to use this opportunity is to rebuild those processes from the ground up. ", "one_liner": "The AI Agent Insurance Carrier", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1775605248, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mount", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/mount.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mountyc26/posts/?feedView=all", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa5208859312a795f7e72dfb9eb2a5149785a216.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": 1458269, "full_name": "Fabian Amherd", "title": "Founder", "founder_bio": "Founder at Mount (YC P26) | Mount insures companies against AI risks.\n\nI studied Computer Science at ETH Zürich, focusing on machine learning. At MESH, an ETH robotics spin-off, he built and deployed custom CNNs for real-time object detection in industrial robotics. Before that, he founded and ran a web development company for 3.5 years, starting at age 16. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fabianamherd/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e48445f6df9492ee1ff4f7f1a012287b0283a757.jpg" }, { "user_id": 3284831, "full_name": "John Bachmann", "title": "Founder", "founder_bio": "Founder at Mount (YC P26) | Mount insures companies against AI risks. \n\n... \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/john-bachmann-844978301?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/c18569ab9dd6d0d26e699b9409464f2eaa865153.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101822, "title": "Mount - The AI-Agent Insurance Carrier", "tagline": "As AI Agents move into production, we help businesses insure and secure them.", "body": "**TLDR: Mount sells liability insurance for companies deploying AI agents in production. We scan and red-team the agent workflow, reduce failure modes, and insure the residual risk with purpose-built AI-agent liability coverage. Mount helps companies manage AI risk and unlock AI Agent adoption at scale.**\n\n> “I think this is a great idea. First of all, I’ve been waiting for more people to do this. \\[…\\] Insurance is shockingly important to how society works. No one is doing a good job of underwriting this right now.” - Sam Altman on Mount\n\n# \n\n\n\n# AI Agents Need Insurance\n\nThe bottleneck for the economic impact of AI Agents has moved from capability to production-grade reliability and trust. The models are, by far, smart enough for a broad range of use cases, yet many pilot projects are struggling to transition into production.\n\nAI agents now write code, handle customer data, move money, and update records. The more responsibility we give AI systems, the more liability shifts from humans to autonomous systems.\n\nCompanies are faced with a simple but impactful question:\n\n“**Who is liable if AI systems fail or cause financial harm**?”\n\nToday, the answer is unclear.\n\nExisting insurance policies are often silent, ambiguous, or exclude autonomous software, simply because they were created many years ago. The insurers behind them don’t want to cover this. They lack the data, the knowledge, and the speed to assess deployed AI systems.\n\nFor real production agents, “maybe covered, potentially disputed” is not good enough.\n\n# Why now\n\nInsurance is one of the most heavily regulated industries in existence, creating durable moats that do not shrink even as we progress towards AGI. We are starting now because we believe this market will become obvious in the next 6–12 months:\n\n* Agent adoption is accelerating.\n* As agents gain capability, companies give them more responsibility to profit from it.\n* Like with any technology, companies will need a risk-transfer mechanism before deploying it in high-stakes workflows.\n* Existing cyber and E&O carriers will not want to silently absorb autonomous-agent losses. They do not understand this risk and lack the speed to keep up. We are already seeing a first wave of AI-related exclusions.\n\n# What Mount Does\n\nToday, we’re announcing **Mount AI Agent Liability Insurance**, our first product.\n\nIt is designed for mid-market/enterprise companies deploying autonomous AI agents in real business processes.\\\nHere’s what it does:\n\n1. Scan and red-team the AI deployment.\n2. Quantify the operational risk and secure vulnerabilities.\n3. Insure residual risk with purpose-built AI liability coverage.\n\nThis product delivers peace of mind for thousands of AI-native companies conquering their industries.\n\n# Vision\n\nMount is best thought of as a highly automated commercial insurance carrier.\n\nToday, commercial insurance runs on manual underwriting, slow pricing, paper-heavy policy issuance, brokers, MGAs, TPAs, claims handlers, and large back-office teams. AI changes that. It allows us to automate underwriting, pricing, issuance, claims, fraud detection, customer support, and distribution from the ground up.\n\nOur first product is AI liability insurance. That is the right wedge because AI risk is new, poorly understood, and difficult for traditional carriers to underwrite. But the bigger vision is not to remain in a single niche. We want to use AI liability as the initial beachhead, build the underwriting and operating infrastructure, and then expand aggressively into additional commercial insurance lines.\n\nThe goal is simple: to offer faster, cheaper, and better coverage than incumbents by rebuilding the carrier stack with AI at its core.\n\n# Team\n\nFabian studied CS/ML at ETH Zürich before dropping out and has been building AI systems for 6+ years. While building his last startup, he saw firsthand how technically performing systems get blocked on their way to production if they can't build trust and prove reliability.\n\nJohn previously founded an AI-first media company at 18 after dropping out of high school and scaled it to $400K in revenue. Automating every step from intake to fulfillment, he knows what it means to rebuild traditional processes from the ground up.\n\n![uploaded image](/media/?type=post&id=101822&key=user_uploads/3284831/de838c30-d8d1-4fbf-a56c-7b559c42a561)\n\n---\n\n## Get in touch\n\nIf you are deploying AI agents, looking to insure AI-related risks, or interested in investing in the next generation of commercial insurance, we’d love to talk.\n\n📩 Email us at: [fabian@mount.insure](mailto:fabian@mount.insure) \\\n📅 Or book a meeting here. ", "url": "https://www.ycombinator.com/launches/QUI-mount-the-ai-agent-insurance-carrier", "votes": 181, "created_at": "2026-05-22T18:49:14.885Z" } ] }, { "id": 31441, "name": "Infera", "slug": "infera", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e31e68f847b8067b4a5a541fed968e4b0739a6c4.png", "website": "https://www.infera.bio", "all_locations": "San Francisco, CA, USA", "long_description": "Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run across the equipment your lab already uses. Infera handles the protocol logic, vendor-specific scripts, data, inventory, and institutional knowledge in one system. An AI-native compiler for the lab: one system from intent to execution.", "one_liner": "Control lab instruments with natural language.", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Industrial Bio", "launched_at": 1779916747, "tags": [ "SaaS", "B2B", "Biotech", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Industrial Bio" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/infera", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/infera.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/infera-bio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e31e68f847b8067b4a5a541fed968e4b0739a6c4.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": 3013936, "full_name": "Troy Zhang", "title": "Founder/CEO", "founder_bio": "Founder at Infera Biosystems. Prev. experience in Nobel Prize winning lab. Dual BS in Political Science and Computation and Neural Systems from Caltech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/troyzh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d37252070c23d7b971abe014006e4abdd3d1314e.jpg" }, { "user_id": 3288797, "full_name": "Chloe Sow", "title": "Founder/CTO", "founder_bio": "Co-Founder of Infera (YC P26). Built research software and medical devices at Harvard Medical School, Brigham and Women's, Fred Hutch and PNNL. MechE + CS at Harvard.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chloe-sow", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d783871016e75c83c0534d668a503a2fca45d369.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102417, "title": "Infera – Control Lab Instruments with Natural Language", "tagline": "Infera turns a plain-English experiment into a validated, instrument-ready run", "body": "### **⚡TL;DR**\n\n**Infera is the Claude Code for scientific instruments.** Describe an experiment in plain English, and Infera turns it into a validated, instrument-ready run, handling the protocol logic, vendor scripts, data, and inventory across the instruments your lab already uses. One system, from intent to execution.\n\n### 🤔 **The Problem**\n\nLabs run on hardware from the future and software from the past.\n\nThe instruments are extraordinary. Mass specs identify thousands of proteins, flow cytometers read tens of thousands of cells a second, and cryo-EMs image at near-atomic resolution. These are the machines behind biomarker discovery, immunotherapy, structural biology, and drug development. But the software around them still looks like it shipped in 2003, and runs like it.\n\nWe've watched labs running \\~6 instruments from 3+ vendors write a one-off script for every experiment, stitch outputs together by hand, and track inventory in a Google Sheet someone probably forgot to update last Tuesday. Scientists spend their week being human glue between machines that should already talk to each other.\n\n### **🔍How Infera Works**\n\n[**Demo Video**](https://www.youtube.com/watch?v=3GPze4X7AeA)\n\n**I. Describe the experiment in plain English.** Infera asks the right questions, surfaces edge cases, and checks against your lab’s inventory and instrument state.\n\n**II. Infera turns it into a run, accommodating both manual and automatable steps.** For programmable instruments, it generates vendor-specific scripts, executes, pulls the data back, and runs the analysis. For manual work like pipetting, gels, hand fermentation, etc., it's the context layer underneath: which step you're on, which reagent goes where, what could go wrong, and how others in the lab have run it before.\n\n**III. The knowledge stays.** Every protocol, every validated run, every edge case becomes part of the system and checked against instrument constraints, lab SOPs, inventory, and prior experiments.\n\nThat last part is the hard part. It's what general-purpose LLMs can't do, and it's what enables a researcher to trust the output the way they'd trust a trained technician.\n\n### 👩‍🔬 **Team**\n\nHi! We’re Chloe and Troy, and we're building Infera to close the gap between science and instrumentation.\n\n* Chloe studied Mechanical Engineering at Harvard. She's been building research software and medical devices since before college (Regeneron STS Scholar), including a microfluidic device that detects harmful chemicals in household products, and has been doing research at places like Fred Hutch, Brigham and Women's, Harvard Medical School, and Pacific Northwest National Lab.\n* Troy studied Computation & Neural Systems at Caltech, where he held an endowed research fellowship in a top research lab as an undergraduate. He's published two first-author cancer papers, holds a first-inventor agtech patent, and built and sold two companies before Infera.\n\nBetween us, we've run experiments by hand, written the scripts, and watched the whole system break when one person leaves. That's the problem we're building Infera to fix.\n\n### **🎯Ask**\n\nWe're currently running pilots with Boston-area academic labs and cores. If any of these are you, reach out at [**hello@infera.bio**](mailto:hello@infera.bio):\n\n* **Academic labs and cores:** know a PI or core director in proteomics, genomics, flow, automation, or screening? We'd love an intro, and we're happy to set up a pilot\n* **YC founders with wet labs (diagnostics, therapeutics, synbio, tools):** we’d love to meet whoever runs your lab ops\n* **Biotech and life sciences folks:** come say hi\n* **Instrument manufacturers** whose customers wish the software were better, let's talk\n\n![uploaded image](/media/?type=post&id=102417&key=user_uploads/3288797/b9d81458-f74b-47a8-88ac-e3cf756951b9)\n\n", "url": "https://www.ycombinator.com/launches/Qdt-infera-control-lab-instruments-with-natural-language", "votes": 153, "created_at": "2026-06-02T15:49:42.214Z" } ] }, { "id": 31442, "name": "AICE", "slug": "aice", "former_names": [ "AICE Power" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/581bc66ce17e1873b4f5c5446cc221ea8275a118.png", "website": "https://aicepower.com", "all_locations": "Paris, Île-de-France, France", "long_description": "We are building the next generation of underwater defense systems: autonomous swarms of modular marine drones to secure naval assets and coastal infrastructure against evolving underwater threats.", "one_liner": "Submarine drones for defense", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1775067317, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/aice", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aice.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/aice-power/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/581bc66ce17e1873b4f5c5446cc221ea8275a118.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/efc19e968b4aac30b338d3299405049ca797e33f.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 3424825, "full_name": "Gregoire Chomette", "title": "Founder/CEO", "founder_bio": "Building the future of underwater warfare.\nPreviously @ NASA working on asteroid threats. MIT AeroAstro MSc. (2021)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gregoirechomette/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64481f5712beabd95b9fc5a5eed33808aaa81a57.jpg" }, { "user_id": 2324173, "full_name": "Rémi Bouteiller", "title": "Founder/CTO", "founder_bio": "Building the future of underwater warfare.\nEuropean Robotic Champion with RCVA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/remi-bouteiller/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7207bf5a90a6813a21d843f02fb8d4f0a70d63b0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102410, "title": "AICE Power - Underwater drones for defense", "tagline": "Modular subsea drone swarms for defense", "body": "Hey everyone,\n\n**TLDR**: we are building a new generation of UUVs (Unmanned Underwater Vehicle) for defense of critical maritime infrastructure.\n\nThe evolution of modern battlefields shows the same pattern everywhere: highly expensive military systems are increasingly being challenged by agile, low-cost technologies produced at scale.\n\nIn Ukraine, cheap aerial drones have transformed warfare and forced entire defense doctrines to adapt. We think the same shift is about to happen underwater, and are obsessed with the question of what the “drone moment” for underwater warfare would look like.\n\nSo we started speaking with submariners, naval operators, ex-commandos, and defense engineers. The demand signal was much stronger than we expected, and the common need is always the same: **cost-effective** and highly **modular** underwater **vehicles** acting in **swarms** that can **adapt quickly** to operational requirements (speed, range, sonar equipment, payloads, etc.). Today, very few solutions exist.\n\nA couple of days after deciding to pivot, we wanted to move as fast as possible and get something real in the water before Demo Day. So we built our **first modular prototype within a week**. It already integrates the main subsystems and was designed to evolve quickly based on operator feedback and mission requirements. Here is a photo:\n\n![uploaded image](/media/?type=post&id=102410&key=user_uploads/3424825/4d4a7af2-8dcc-4dac-9ddd-037f9606cdba)\n\n**Our ask:**\n\nWould love to connect with people across the defense ecosystem - especially naval operators, submariners, maritime special operations, and teams working on subsea robotics, maritime autonomy, or distributed naval warfare across Europe, NATO, and allied countries.", "url": "https://www.ycombinator.com/launches/Qdm-aice-power-underwater-drones-for-defense", "votes": 11, "created_at": "2026-06-02T13:13:02.084Z" } ] }, { "id": 31443, "name": "Complir", "slug": "complir", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1f72e453635f03c2884d2d58c26211bfd627530.png", "website": "https://complir.io/", "all_locations": "Copenhagen, Denmark", "long_description": "AI-powered product compliance platform that makes it easy for retailers to launch and scale products across borders without drowning in regulatory work. Complir's AI agents handle the regulations and documentation across every market you sell in - and keep your entire catalogue audit-ready.", "one_liner": "Vanta for physical products", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1774933783, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "Denmark", "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/complir", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/complir.json", "year_founded": 2024, "city": "Copenhagen", "country": "DK", "linkedin_url": "https://www.linkedin.com/company/complir", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1f72e453635f03c2884d2d58c26211bfd627530.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": 1829555, "full_name": "Gustav Bang", "title": "Founder/CEO", "founder_bio": "CEO, Complir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gustavbangn/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6644ca87428bf7e32a68c78f8acb753c5f9970ad.jpg" }, { "user_id": 2546336, "full_name": "Marc Kaa Brejner", "title": "Founder/CTO", "founder_bio": "CTO, Complir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marc-kaa-brejner/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/525de72f6379fbef9587491d142604e3a4b31a5f.jpg" }, { "user_id": 2094459, "full_name": "Tine Kühnel", "title": "Founder/CPO", "founder_bio": "CPO, Complir.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tinekuhnel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b25c73bd560bb552032f7504c12949ee6af59ef2.jpg" } ], "jobs": [ { "id": 99807, "title": "Head of Germany", "url": "https://www.ycombinator.com/companies/complir/jobs/4JZzlHG-head-of-germany", "location": "Berlin, Germany / Hamburg, Germany", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 104000, "title": "Open Application", "url": "https://www.ycombinator.com/companies/complir/jobs/83TkluK-open-application", "location": "Copenhagen, Denmark", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111394, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/complir/jobs/A20A77P-product-engineer", "location": "Copenhagen, Denmark", "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": 99317, "title": "Complir - Helping large retailers remove compliance as a bottleneck to launching products globally.", "tagline": "Vanta for physical products", "body": "Hi there! I’m Gustav, and together with Tine and Marc we’re building AI infrastructure that automates compliance for global retailers.\n\nIf you sell physical products across markets, compliance is brutal.\n\nEvery country has different requirements. Documentation is fragmented. Regulations change constantly. Most teams still manage it in spreadsheets, consultants, and shared drives. And every product launch becomes a fire drill.\n\nOur users are:\n\n\\- Enterprise retailers with thousands of SKUs\n\n\\- Compliance, quality, and sourcing teams\n\n\\- Companies launching across multiple EU and international markets\n\nThey don’t want to just be compliant. They want to ship products fast and never think about compliance again.\n\n**How we got here**\n\nJust one month after Tine and I met back in May 2024, we made a deal with Flying Tiger Copenhagen (a 1,000+ store global retail chain, similar to a European Five Below) and forward deployed ourselves in their offices, working directly with their compliance, packaging, and sourcing teams for over a year.\n\nWe had no idea how much manual work we were about to witness.\n\nRegulations are dynamic. Products change. Data is messy. Requirements depend on category, market, material, packaging, claims, and more. Most existing tools treat compliance like static storage.\n\nSo we built an AI-native system that:\n\n\\- Maps products to relevant regulatory requirements across markets\n\n\\- Transforms messy product data into structured, audit-ready compliance records\n\n\\- Automatically generates legally required outputs — including translations, warnings, labels, risk assessments, declarations, and technical documentation\n\n\\- Propagates updates when regulations or products change, so documentation stays compliant without manual rework\n\nToday we manage 100k+ products, work with large retailers across Europe, and are growing \\~45% MoM\n\nIf you know large retailers selling across markets, tell them they can save millions in yearly compliance costs - while launching more products in more markets, faster.\n\nAnd if you’re building or operating in retail, import/export, or compliance infrastructure, we’d love to compare notes!\n\nDemo: [**https://www.youtube.com/watch?v=4omoq7tcU88**](https://www.youtube.com/watch?v=4omoq7tcU88)", "url": "https://www.ycombinator.com/launches/Ppt-complir-helping-large-retailers-remove-compliance-as-a-bottleneck-to-launching-products-globally", "votes": 27, "created_at": "2026-04-03T21:07:08.390Z" } ] }, { "id": 31444, "name": "Alchemize", "slug": "alchemize", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f82ae07ea418af65738a5555df328a4907b4da13.png", "website": "https://tryalchemize.com", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Building AI Native Customs Brokerages", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Supply Chain and Logistics", "launched_at": 1778526600, "tags": [ "B2B" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Supply Chain and Logistics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/alchemize", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/alchemize.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tryalchemize/", "x_url": "https://x.com/TryAlchemize", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f82ae07ea418af65738a5555df328a4907b4da13.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": 1352155, "full_name": "Robert Hou", "title": "Founder/CEO", "founder_bio": "Co-Founder of Alchemize (P26). Previously, Robert was the first engineer at Confido YC(S21), where he built AI accounting automation for brands like Baskin-Robbins, Olipop, and Dr. Squatch from 0 to $10 million+ ARR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robertyhou/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19cf8a12073c88597ff30aa88e1e3a205a1cebf5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31445, "name": "Harbor", "slug": "runharbor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2035055dd5fbc0e7ba3359cc653941b651ebff6b.png", "website": "https://runharbor.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Harbor is building an AI-native contract research organization (CRO) for clinical trials. We started with an AI-native system of record for clinical trial data (electronic data capture system), grew the software business to seven trials and ~$187k in contracted software revenue over the next twelve months, then expanded into full-service trial execution and signed our first CRO contract worth $1.93M over three years.\r\n\r\nClinical trials consume 45% of all new drug and device development spend. While some of that goes to software, sites, and patients, the largest line items are services: project management, monitoring, data management, site coordination, source verification, query resolution, record reconciliation, and analysis.\r\n\r\nToday, drug and device companies outsource clinical operations to legacy CROs and their massive teams, which is why the CRO market is $82B annually. Harbor delivers the regulated services companies buy from legacy CROs, but built around our AI-native system of record from day one. Our software already automates the core data workflows: study build, data capture, query generation, monitoring, signing, and database lock. Because we own the system of record, we can expand into the surrounding service workflows: site contracting and billing, subject engagement and retention, statistics, reporting, and more.\r\n\r\nWe built Harbor because we lived through the problem. Albert spent four years in clinical trials and regulatory strategy at a medical device startup, taking an unproven wearable from first-in-human trials to FDA authorization. Nate brings the technical depth, having built scalable software at Google and Ramp and served as employee #1 at a previous YC startup.", "one_liner": "AI-native CRO for clinical trial operations", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1773340757, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runharbor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/runharbor.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runharbor", "x_url": "https://x.com/runharbor", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2035055dd5fbc0e7ba3359cc653941b651ebff6b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/da0ff36a62deb3baf32571b8bcb4fa1a534b96c9.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2019219, "full_name": "Albert Cai", "title": "Founder/CEO", "founder_bio": "Albert is the co-founder and CEO of Harbor.\n\nBefore Harbor, Albert helped run clinical trials and regulatory strategy at Biolinq, helping take the company's first and flagship product from prototype through its first human studies and eventual FDA De Novo authorization. Albert studied biomedical engineering at the University of Michigan and attended boarding school at the Oklahoma School of Science and Mathematics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ac-ai", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6fcd99acaed7f917643695890f907793d229e6f.jpg" }, { "user_id": 96078, "full_name": "Nathan H. Leung", "title": "Founder/CTO", "founder_bio": "Nate (CTO) is an ex-Google, ex-Ramp engineer who has built websites serving hundreds of thousands of visits per month and open-source projects with millions of downloads. He studied pure math at UCLA and computer science at the University of Michigan.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nathanhleung", "x_url": "https://x.com/nathanhleung", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb26ec5d5d84e6d7140f4fba784fcb37b107d92c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102244, "title": "Harbor: AI-native CRO for clinical trial operations", "tagline": "We're building the AI-native CRO for clinical trials, taking on the $82B outsourced clinical trial services industry.", "body": "Hey everyone 👋\n\nWe're Albert and Nathan from Harbor, back with a bigger vision.\n\n**TL;DR**\n\nHarbor is an AI-native contract research organization (CRO) for running clinical trials. We started as an AI-enabled system of record, and grew to seven trials and $15.6k in monthly software revenue. Now we’re expanding from clinical trial software into full-service trial execution and just signed our first seven-figure contract to run a clinical trial end-to-end for a publicly traded medical device company.\n\n**Ask**: Can you introduce us to founders who might be running a clinical study soon or directors and VPs of Clinical Operations at medical device and biotech companies? Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\n**🤦‍♂️The Problem**\n\nOf the money spent on new drug and device development today, 45% of it is spent on clinical trials. Some of that money is spent on software and some is spent on paying clinics and study subjects. But, the biggest line items in any clinical trial budget are made up of services ([60%-80%](https://link.springer.com/article/10.1186/s12913-024-11638-0)). Today's clinical research is contracted out to armies of project managers, monitors, data managers, and coordinators manually configuring forms, chasing sites, verifying source data, resolving queries, reconciling records, and preparing for and performing analysis.\n\n![uploaded image](/media/?type=post&id=102244&key=user_uploads/2019219/74735edb-6aea-4bc7-a658-240c0558bd7c)\n\n**🌪️ Why We're Re-Launching**\n\nWhen we first launched ([link to post](https://www.ycombinator.com/launches/PiF-harbor-ai-system-of-record-for-clinical-trial-data)), we were building an AI-native system of record for clinical trial data – an EDC system, for those who are familiar with the space. That product is working. We now support seven trials and our software can generate trial databases from protocols, automate parts of data entry, support source data verification, and produce audit-ready clinical datasets. As one of our customers noted, our platform streamlined a “standalone, two-month project”for study start up into just “two days” of work.\n\nWith encouragement from our YC partners, we decided to aim beyond just replacing one piece of software. Since we own the system of record, why not run the full clinical trial ourselves, selling the \"services\" customers already buy but using our own software to automate and compress the labor.\n\nA month ago, I hopped on a flight to Boston to try to close our first contract as a full-service contract research organization (CRO); two weeks later, we signed a seven-figure deal to run a clinical trial end-to-end for a publicly traded medical device company.\n\nDrug and device companies are already used to outsourcing their clinical operations. That's why an [$82 billion CRO](https://www.ppd.com/wp-content/uploads/2024/06/Contract-Pharma-2024.06-CRO.pdf) market exists today. We can deliver the same regulated service customers already buy from legacy CROs, but with fewer handoffs, faster execution, and better margins.\n\n**❓ Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any founders of biotech, medtech, or digital health companies that might be gearing up for clinical trials? Or are you one yourself?\n* Do you know any VPs or directors of clinical operations at larger pharma, biotechs, or medtechs?\n* Do you know anyone who has bought from, sold to, or operated inside clinical research organizations?\n\n👉 Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\nThank you!!\n\n👏 **The Team**\n\nAlbert and Nate met seven years ago in English class at the University of Michigan (\"Art of the Personal Essay\").\n\nAlbert (CEO) helped run clinical trials and regulatory strategy at Biolinq, a medical device startup that received its FDA authorization last year. He literally lived at a clinical site for a month during the company's pivotal trial, keeping site staff entertained while they spent hours manually entering data. He also spent two years as an analyst for the medical device industry.\n\nNathan (CTO) is an ex-Google, ex-Ramp engineer who has built websites serving hundreds of thousands of visits per month and open-source projects with millions of downloads.\n\n![uploaded image](/media/?type=post&id=102244&key=user_uploads/2019219/afc8da2f-6a4c-4521-a4ef-dcae27ade928)\n\n", "url": "https://www.ycombinator.com/launches/Qb6-harbor-ai-native-cro-for-clinical-trial-operations", "votes": 29, "created_at": "2026-05-29T16:00:01.149Z" }, { "id": 98843, "title": "Harbor: AI system of record for clinical trial data", "tagline": "We're building the AI operating system for clinical trials, starting with a best-in-class system of record that automates the transformation of source data into an FDA-ready package.", "body": "Hey everyone 👋\n\nWe're Albert and Nathan from Harbor.\n\n**TL;DR**\n\nHarbor is a new system of record for data collection in clinical trials. Current systems are slow, clunky, and require hours and hours of manual labor. We're already live in five clinical studies and looking for more!\n\n**Ask**: Can you introduce us to founders who might be running a clinical study soon or directors and VPs of Clinical Operations at CROs, medical device, and biotech companies? Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\n\n\n**🤦‍♂️ The Problem**\n\nEveryone knows clinical trials are slow and expensive. Most people assume it's due to subject recruitment or regulatory requirements. But, a huge part of the problem is much simpler: manual data entry.\n\nClinical trial data is collected through a special database called an EDC (electronic data capture). Despite the massive amounts of spend, today's EDCs have not changed since the early 2000s. Companies spend 2-3 months manually configuring their EDC for each clinical trial. Clinical sites collect data from patients in the EHR or on paper and then spend hours entering that data by hand into the company's EDC. Finally, companies hire armies of people to literally fly to each clinical site and double check the data entered into the EDC. Despite the [FDA's guidance](https://www.fda.gov/regulatory-information/search-fda-guidance-documents/risk-based-approach-monitoring-clinical-investigations-questions-and-answers) **against** this way of doing things, it remains the de facto standard for the way clinical trials are run today.\n\nAt Harbor, we're changing that…\n\n**💡 Our Solution**\n\nAt Harbor, we've built a new EDC platform that automates the most manual and tedious processes in data management, allowing sponsors and sites to spend more time with subjects, making sure the operations are running smoothly, and ultimately getting to database lock and regulatory submission faster.\n\n* 👷 Our \"Magic Build\" feature takes clinical trial protocols and turns them into customized EDC builds within minutes. \n* ✍️ Our \"Magic Capture\" feature allows clinical sites to upload their source documents, whether electronic or paper, and Harbor enters the data into the EDC for them automatically.\n* 🕵️‍♀️ As a result, sponsors get access to the study data in near real-time and their monitors don't have to fly all over the country just to compare what's on paper with what's in the EDC.\n\nAll of this is built into our fully validated and 21 CFR Part 11 and GCP-compliant software platform with roles, audit trails, and more, so that the data collected in Harbor can be used for regulatory submissions.\n\n![uploaded image](/media/?type=post&id=98843&key=user_uploads/2019219/426a3a2d-c750-47bc-813c-d386c2a13f21)\n\n**🥺 Our Ask**\n\nIf you answer “yes” to any of these, we’d love your help:\n\n* Do you know any founders of biotech, medtech, or digital health companies that might be gearing up for clinical trials? Or are you one yourself? Reach out, let us know you found us on Launch YC and we'll waive your set up fee!\n* Do you know any VPs or directors of clinical operations at larger pharma, biotechs, medtechs, or CROs?\n* Do you have experience selling software into pharma, biotech, or medtech companies?\n\n👉 Contact us at [albert@runharbor.com](mailto:albert@runharbor.com)\n\nThank you!!\n\n👏 **The Team**\n\nAlbert and Nate met seven years ago in English class at the University of Michigan (\"Art of the Personal Essay\").\n\nAlbert (CEO) helped run clinical trials and regulatory strategy at Biolinq, a medical device startup that received its FDA authorization last year. He literally lived at a clinical site for a month during the company's pivotal trial, keeping site staff entertained while they spent hours manually entering data. He also spent two years as an analyst for the medical device industry.\n\nNathan (CTO) has spent the last five years working at tech companies ranging from seed-stage startups to Ramp and Google. He’s built zero-to-one systems as the first employee of another YC startup and wrote smart contracts securing millions in assets at a blockchain infrastructure company. He’s now bringing his experience building cryptographically-secure, regulated, end-to-end systems to Harbor, where we’ve launched a brand-new, 21 CFR Part 11 compliant EDC in just eight months.", "url": "https://www.ycombinator.com/launches/PiF-harbor-ai-system-of-record-for-clinical-trial-data", "votes": 36, "created_at": "2026-03-16T15:30:02.876Z" } ] }, { "id": 31447, "name": "Allowance", "slug": "allowance", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c21d6adefff883f7581e72ca876529eba262eb64.png", "website": "https://useallowance.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Allowance lets AI agents make purchases on a user’s behalf without ever exposing your real card number.\r\n\r\nUsers approve purchases directly from their iPhone with customizable controls like spending limits, merchant restrictions, and expiration windows. Once approved, Allowance generates scoped, one-time payment credentials designed specifically for that transaction.\r\n\r\nThis enables AI agents to safely complete tasks like shopping, ordering food, booking reservations, or purchasing tickets while keeping humans in control of every payment.", "one_liner": "The spend control layer for AI agents", "team_size": 1, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1779136455, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/allowance", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/allowance.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://x.com/dasmersingh", "x_url": "https://x.com/dasmersingh", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c21d6adefff883f7581e72ca876529eba262eb64.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": 330737, "full_name": "Dasmer Singh", "title": "Founder/CEO", "founder_bio": "Dasmer Singh is the founder of Allowance, a platform building programmable payment controls for AI agents. Previously he was Head of Product for Cash App Families, where he built financial products for teens and parents. Earlier he worked at Uber, Petal, and Venmo. He studied at Columbia University and Stanford Graduate School of Business.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dasmer", "x_url": "https://x.com/dasmersingh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6fd23569b3f4da9576f64dd391ce6dc02aac5ff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101684, "title": "Allowance: Virtual cards for AI agents", "tagline": "Let AI shop for you without exposing your card.", "body": "**TL;DR:** Allowance lets AI agents safely make purchases on behalf of users using one-time virtual cards with built-in guardrails.\n\n\n\n## The Problem\n\nAI agents can now browse websites, research products and complete real-world tasks autonomously, but they cannot complete purchases for you.\n\nUsing AI to buy something usually has meant pasting your real credit card into a prompt and giving an agent unrestricted spending access. That’s dangerous.\n\n## The Solution\n\nAllowance solves this by giving AI agents one-time virtual cards with approval controls and built-in limits. The AI agent never sees the user’s real card number.\n\nUsers can:\\\n• limit spending amounts\\\n• restrict purchases to specific merchants\\\n• approve or deny purchases in real time\\\n• revoke access anytime\\\n• continue using their existing credit cards and rewards\n\nThis unlocks entirely new use cases for AI-powered commerce:\\\n• planning and booking travel, hotels, and flights autonomously within user-defined limits\\\n• tracking products that are out of stock and instantly purchasing them when inventory returns\\\n• securely placing food orders, reservations, ticket purchases, and ecommerce checkouts on a user’s behalf\\\n• monitoring prices and automatically buying when something drops below a target price\\\n• using AI not just to research products, but to actually complete the purchase end-to-end\\\n• letting agents handle repetitive purchases and checkouts across the web\n\nThe recent progress in AI agents, new payment protocols, and browser automation makes it increasingly clear that agents will eventually transact across the internet on behalf of users. Safe guardrails and user-controlled payments infrastructure are the missing layer that makes this possible.\n\nI’ve been using Allowance to place real-world purchases through AI agents including food orders, reservations, and ecommerce checkouts using one-time virtual cards with approval controls.\n\n## The Ask\n\nTry the product, tell me what you’re using it for, how it could better fit into your life, and share feedback. Start here: [useallowance.com](https://useallowance.com/)\n\nI’d especially love to hear new ideas for agentic purchasing use cases and guardrails.\n\n## About Me\n\nI’m Dasmer, founder of Allowance.\n\nI started building Allowance after running into this problem myself while trying to book a reservation using OpenClaw. The agent successfully navigated the flow, but then asked me to paste in my credit card number to hold the reservation. That felt fundamentally wrong — and made it obvious the missing layer for agentic commerce was safe, user-controlled payments.\\\nBefore Allowance, I was Head of Product for Cash App Families, where I helped grow Cash App into the most popular debit card for teens in the US. Earlier in my career, I was also an early iOS engineer at Venmo.\n\n![uploaded image](/media/?type=post&id=101684&key=user_uploads/330737/fffdfc03-e875-4f97-bccf-c3dcaf1f7b30)\n\n", "url": "https://www.ycombinator.com/launches/QS4-allowance-virtual-cards-for-ai-agents", "votes": 62, "created_at": "2026-05-22T06:02:12.944Z" } ] }, { "id": 31448, "name": "smol machines", "slug": "smol-machines", "former_names": [ "Smol Machines" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9db625bd34a051e8617673268bb5d9659339ed.png", "website": "https://smolmachines.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Smol machines solve the problem of \"but app works on my machine\" by shipping the machine.\r\n\r\nSmol machine enables devs to ship a lightweight virtual machine with any software, similar to how Electron ships an entire browser with the web app. ", "one_liner": "Ship software faster with portable, self contained virtual machines.", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1775148410, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/smol-machines", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/smol-machines.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/smol-machines/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6c9db625bd34a051e8617673268bb5d9659339ed.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": 1655532, "full_name": "BinBin He", "title": "Founder/CEO", "founder_bio": "Building the next generation cloud service that's like a baby of lambda and ec2. Using a new primitive that combines the isolation of a VM with speed and flexibility of containers.\n\nRecently was at AWS.\n\nWorked at ECS|Fargate|FargateOnFirecracker for ~4 years.\nECS is largest container service in the world.\nFounding engineer of ECS managed instances.\n\nBefore that, spent another ~4years in Infra in startups, NASA.\nHelped decomission Terra, Aqua, Aura satellites back into earth. \n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/binsquare", "x_url": "https://x.com/binsquares", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23bd591f4c23ccd898e3687a53f218b8b83672c7.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31450, "name": "River Markets", "slug": "river-markets", "former_names": [ "Centos Group" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d52c6b2c2316334447d190e02bf6f2665c34ccb.png", "website": "https://www.rivermarkets.com", "all_locations": "San Francisco, CA, USA", "long_description": "River Markets is the prime brokerage for prediction markets. We aggregate every major event-contract venue into one account, giving professional traders best execution, portfolio and order management systems, and a unified API.", "one_liner": "Prime brokerage for prediction markets", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1779315257, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/river-markets", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/river-markets.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rivermarkets", "x_url": "https://x.com/river_markets", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1d52c6b2c2316334447d190e02bf6f2665c34ccb.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": 3335672, "full_name": "Oscar Levy", "title": "Founder/CEO", "founder_bio": "Co-Founder at River Markets. Previously quant at BlackRock managing models trading $6B, Sandbar Asset Management ($2B AUM hedge fund). MA Financial Engineering from UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/oscar-levy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ee34e4d67951d74d4882edd7b3796095aeaf9e1.jpg" }, { "user_id": 3278185, "full_name": "Antonin Parrot", "title": "Founder/CTO", "founder_bio": "Co-founder of River Markets, the prime broker for prediction markets. I have a background in engineering and CS, and I've been working as a quant at a high frequency option market making trading shop.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/antonin-parrot-a16625196", "x_url": "https://x.com/antonin_parrot", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c716d5d3820514c6c82f6b43e1183454ebd08b63.jpg" } ], "jobs": [], "news": [ { "title": "Exclusive: River Markets announces $8.5 million seed round to build prediction market trading tools for institutions | Fortune", "url": "https://fortune.com/2026/08/11/exclusive-river-markets-seed-round-prediction-market-trading-tools-institutions/", "date": "Aug 11, 2026" } ], "launches": [ { "id": 101842, "title": "River Markets - The prime broker for prediction markets", "tagline": "River Markets allows funds and pro traders to focus on alpha by handling their execution and trading infrastructure", "body": "**TL;DR**\n\nRiver Markets is the prime broker for prediction markets. Trade across Kalshi, Polymarket, Polymarket US and Novig with smart order routing and advanced execution: icebergs, pegs, stop-losses, and take-profits. Manage orders, P&L, and risk across venues from a single view. Use our API, with one ticker schema across exchanges, to run systematic strategies without rebuilding connectors.\n\n**Ask**:  If you’re a fund or professional trader interested in prediction markets, we’d love to talk. Reach us at [contact@rivermarkets.com](mailto:contact@rivermarkets.com)\n\n\n\n**Problem**\n\nFor hedge funds and pro traders, prediction markets are a pain to trade:\n\n* **Existing platforms are built for retail :** Traders juggle tabs, work limit orders venue by venue, and babysit fills trade by trade. Hours that should go to alpha go to ops.\n* **Liquidity is fragmented.** Exchanges have different prices on the same market, and there's no way to trade on both books at the best price.\n* **API integrations are a nightmare :** Constantly changing and breaking, systematic traders end up spending more time fixing exchange connectors than producing alpha\n\n**How we solve it**\n\nRiver Markets is the advanced trading platform for prediction markets. \n\nOne account, every venue, professional tooling.\n\n**Trading Terminal**\n\n* Advanced execution: icebergs, pegs, take-profits, stop-losses\n* Smart order routing: trade assets with the same resolutions on all exchanges, at the best price. **This alone improves pricing by up to 50%.**\n* Unified OMS: place, edit, and cancel orders across venues from a single Multi-Book view that handles hundreds of markets at once\n* P&L attribution\n* Sub-accounts to separate strategies or desks\n\n![uploaded image](/media/?type=post&id=101842&key=user_uploads/3335672/edc9538a-d8f9-4e7c-882c-271ea89a0d9d)\n\n**Institutitional grade API**\n\n* Infrastructure built for institutional-grade latency\n* Unified asset ID system across venues, so you write integration code once\n* Historical orderbook and trade data\n* Same advanced order types as the terminal: pegs, icebergs, SL/TP\n\n**Traction** \n\n* **$50M+** traded on the platform\n* **200% week-over-week growth** since the start of April\n* Used by **3 of the top 10 traders on Kalshi and Polymarket**, plus several quant funds running on our API\n\n### **Who we are**\n\nBefore River Markets, **Oscar** built models trading multi-billion dollar portfolios at BlackRock. **Antonin** built high-frequency trading strategies at Valkyrie.\n\nWe started writing prediction-market algorithms on nights and weekends and realized two things: this asset class is maturing faster than anything we've seen before, and the infrastructure gap between it and traditional markets is the only thing keeping professional capital out. We're closing that gap.\n\nCheck out our website : [rivermarkets.com](http://rivermarkets.com)", "url": "https://www.ycombinator.com/launches/QUc-river-markets-the-prime-broker-for-prediction-markets", "votes": 15, "created_at": "2026-05-26T05:44:45.533Z" } ] }, { "id": 31451, "name": "Masterpiece", "slug": "masterpiece", "former_names": [ "Archer" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed4420b560c26926fdea2bf9ca3f82e062da887b.png", "website": "https://masterpiecelabs.xyz/", "all_locations": "New York City, NY, USA", "long_description": "We believe AI will be one of humanity’s next great masterpieces. Building it will require financial infrastructure as ambitious as the companies creating it. We're founders backed by Y Combinator building the financial rails underpinning the AI data economy.\r\n\r\nMasterpiece provides short term working capital to data vendors that sell training data, evaluation work, and reinforcement learning environments to frontier AI labs.\r\n\r\nA major financing gap exists in this market. Data vendors often need to pay contributors and fund operations before a lab has completed QA, accepted the work, and paid the invoice. This creates a 30 to 90 day cash gap between when vendors incur costs and when they receive payment. Legacy invoice lenders have little visibility into how to underwrite these assets.\r\n\r\nMasterpiece closes that gap by advancing capital against high quality lab contracts and invoices. Vendors can use the capital to scale delivery, pay contributors, and fund growth, then repay masterpiece when the lab payment arrives.", "one_liner": "Working capital for data companies training frontier AI", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Credit and Lending", "launched_at": 1776977656, "tags": [ "Crypto / Web3", "Lending", "AI" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Credit and Lending" ], "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/masterpiece", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/masterpiece.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/masterpiecelabs/", "x_url": "https://x.com/masterpiece_lab", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed4420b560c26926fdea2bf9ca3f82e062da887b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f46e96f00413291a0ab76fb895f43b63d4e951fe.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 963292, "full_name": "Benjamin Nguyen", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO at Masterpiece (YC P26).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminnguyen206/", "x_url": "https://x.com/bennewgen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c6e70c59e29634c884dbbc9f775b8a75f602fdb.jpg" }, { "user_id": 3172853, "full_name": "Vivek Yanamadula", "title": "Founder/CTO", "founder_bio": "Co-founder, CTO @ Masterpiece | Ex-AWS, B.A./M.S. CS @ Columbia University", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivekyy/", "x_url": "https://x.com/VivekYanamadula", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b32f2075335bce0e5463e0c1417ce7866b5ef09.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 116872, "title": "Masterpiece: Invoice-backed loans for data companies selling to the frontier labs", "tagline": "Working capital for data companies training frontier AI", "body": "**TLDR:** Masterpiece finances the AI data economy. We provide short-duration, invoice-backed loans to AI data vendors while their work is in QA review and they wait through Net 30–90 payment terms. We advance capital against expected payments from frontier labs, giving vendors the working capital to keep operating and producing data for the frontier labs.\n\nLaunch Video: \n\n**Problem**\n\nFor AI data vendors, financing frontier AI demand is broken:\n\n* Vendors front the costs: They pay contributors and fund delivery before labs finish QA, accept the work, and pay.\n* Cash is locked up for 30–90 days: QA reviews and payment terms create a major working-capital gap just as vendors need cash to take on more work.\n* Legacy lenders don’t understand AI data: Traditional invoice lenders lack the context to underwrite QA status, lab counterparties, and data contracts properly.\n* Existing financing is slow and expensive: When capital is available, underwriting can take weeks and come with high fees, making it poorly suited to fast-moving AI data businesses.\n\n**How we solve it**\n\nMasterpiece closes the 30–90 day cash gap by advancing capital against high quality lab contracts and invoices. We underwrite AI data vendors based on their invoices, payment history, data quality, and financials, allowing qualified vendors to access working capital in 2–4 days instead of weeks. \n\nWe power these loans through two scalable sources of liquidity: **institutional credit and our stablecoin, $USDml.** Private credit funds and banks provide dedicated lending capital, while $USDml creates a crypto native liquidity pool where users stake stablecoins to fund Masterpiece loans and our haircut capital requirements to earn a target 8–12% yield from the interest generated.\n\n**Traction** \n\n**In 3 weeks, we’ve:**\n\n* **Closed a $10m+ warehouse lending facility from an institutional credit fund**\n* **$65m+ in signed LOIs from some of the top data vendors and RL environment**\n* **$200k in loans earning 24% APY**\n\n**Who we are**\n\n* **Benjamin Nguyen (CEO):** B.S Operations Research at Columbia University. 2x founder. Previously COO at Absinthe Labs, where he helped scale the company to 50+ enterprise customers across the crypto ecosystem and led go to market, partnerships, customer success, and operations.\n* **Vivek Yanamadula (CTO**): BA, Mathematics @ Columbia University. MA Computer Science @ Columbia University. Previously full stack engineer at Amazon on the AWS marketing team. Published researcher in Quantum and AI computing at IEEE QCE under Dr. Ronghui Gu, CertiK founder.\n\n**Ask**\n\nIf you're a data vendor in need of financing against your invoices and datasets, we’d love to talk.\n\nFeel free to email me at [ben@masterpiecelabs.xyz](mailto:ben@masterpiecelabs.xyz) or book a time here: ", "url": "https://www.ycombinator.com/launches/UP2-masterpiece-invoice-backed-loans-for-data-companies-selling-to-the-frontier-labs", "votes": 4, "created_at": "2026-09-28T14:56:34.449Z" } ] }, { "id": 31453, "name": "Minicor", "slug": "minicor", "former_names": [ "Laminar" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14eb470879a4e71c717ad6774095600e8b0de85.png", "website": "https://minicor.com", "all_locations": "San Francisco, CA, USA", "long_description": "Minicor connects AI startups to legacy desktop apps that have no API. Reliably, quickly and at scale.\r\n\r\nDescribe a workflow and get an API endpoint. Each call triggers a self-healing desktop automation on a Windows VM. On-prem, cloud, or Citrix. Build through your coding agent via our MCP.\r\n\r\nComplete with the observability tools to manage your customer relationship: full video replay of every automation, granular logging, and slack enabled alerts.", "one_liner": "Scalable windows desktop automations", "team_size": 9, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1772756028, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/minicor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/minicor.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/minicor-automations", "x_url": "https://x.com/minicor_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e14eb470879a4e71c717ad6774095600e8b0de85.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": 1037983, "full_name": "Faizaan Chishtie", "title": "Founder/CEO", "founder_bio": "CEO @ Minicor (X26) - building an RPA platform for deploying AI into legacy desktop systems\n\nPreviously also built a furniture rental company and worked as early engineer at YC companies connecting systems together!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/fchishtie/", "x_url": "https://x.com/faizchishtie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8237083383c5f9e3a2ff2c95697815c59d0c2774.jpg" }, { "user_id": 1639230, "full_name": "Saheed Akinbile", "title": "Founder/CTO", "founder_bio": "Building Minicor (X26) - Building an agentic desktop and browser automation platform.\nDeep in infra, RPA (QuickBooks/Sage/Citrix), and browser automation.", "is_active": true, "linkedin_url": "https://linkedin.com/in/saheed-akinbile", "x_url": "https://x.com/sahee_d", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6ab7a935a1ba8fc9b8588ea0351c0b067c23f39.jpg" } ], "jobs": [ { "id": 94138, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/minicor/jobs/mDMbXZk-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $250K", "equity_range": "0.15% - 0.45%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Google Cloud", "Java", "JavaScript", "Kotlin", "Python", "Next.js" ] } ], "news": [ { "title": "Minicor Raises $3.8M Seed", "url": "https://www.thesaasnews.com/news/minicor-raises-3-8m-seed/", "date": "Oct 15, 2026" }, { "title": "The Top DevTech Startups in YC P26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-devtech-startups-yc-p26/", "date": "Jun 10, 2026" }, { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 04, 2026" } ], "launches": [ { "id": 99004, "title": "Minicor - Windows desktop automations at scale.", "tagline": "RPA platform for deploying AI into legacy desktop systems", "body": "Hey YC!! Faiz and Saheed here from Minicor ([minicor.com](http://minicor.com))\n\n**TLDR;** AI companies selling into healthcare, automotive, financial services, and logistics can't go live because their customers run on legacy desktop software with no APIs. The only way in is clicking through the UI, and it breaks constantly. Minicor is a platform for building self-healing desktop automation that scales.\n\nLaunch video:\\\n\n\n**The problem**\n\nOur customers selling into legacy industries can't go live because the systems of record their customers use (EHRs, ERPs, DMS) are Windows desktop apps with no APIs. The only way to read / write is through UI automations, but desktop RPA at scale breaks constantly. Even small error rates become hundreds of failures a day, and every one needs manual intervention.\n\nThey're signing customers but don't have capacity to integrate because they're too busy fighting fires with existing RPAs; or their prospects are blocked because they need \"proof\" they can write back to their systems, and spinning up a desktop automation POC takes too long.\n\n**In production**\n\nWe're live right now processing thousands of workflows a week across healthcare EHRs and other legacy systems. Our agents write AI-generated data into desktop apps in real-time. We went live with a customer in 3 weeks post POC.\n\n**How it works**\n\n1. Install our Desktop Client on the machines running the legacy software.\n2. Speak the automation into existence - either through your favourite coding agent via our MCP, or to us directly. You get an API endpoint to trigger it.\n3. Minicor handles everything after that. Only pay when the data gets in\n\n**Demos**\n\nGenerating an automation with our MCP:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/3566b35e-8721-428e-9c8c-99b2d4f337a4)\n\nAgent recovering from failure:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/c33c944c-0319-4aa1-a291-c526751938f6)\n\nRecorded video replays of every run, with full error logging, so nothing ever fails silently:\n\n![uploaded image](/media/?type=post&id=99004&key=user_uploads/1037983/ce87bffc-0860-43ab-a1b9-94d5b5656adf)\n\n**About us**\n\nSaheed and I both started our careers building bespoke / legacy system integrations. Me at a YC startup, Saheed at Morgan Stanley and Ford. We met in 2019 in a UX class, built a non-profit together over the pandemic, and started working on this in 2023.\n\nWe started with an observability and error recovery platform for API integrations, and got pulled into Desktop automations when a prospect closed hyper quickly on the promise that we could help them connect to an on-prem EMR.\n\n**If a legacy desktop integration is blocking a deal right now**\n\n**We can have a POC running in hours.** Whether that's a demo for a prospect or getting something into production next week. Email / DM us on Bookface / book time to chat (:\n\n**Know an AI company fighting horrible desktop based UI integrations?** We'd appreciate an intro, coffee / lunch on us!\n\n[faiz@minicor.com](mailto:faiz@minicor.com) / ", "url": "https://www.ycombinator.com/launches/Pkq-minicor-windows-desktop-automations-at-scale", "votes": 27, "created_at": "2026-03-23T02:00:00.081Z" } ] }, { "id": 31454, "name": "E1O", "slug": "e1o", "former_names": [ "Datost", "ED1TH" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9320ae60dfd7f05401e99f8ca644e1ab6704289e.png", "website": "https://e1o.com", "all_locations": "San Francisco, CA, USA", "long_description": "E1O (E1 Optics) is building camera-free AI glasses with a private display and a personal assistant. Follow your coding agents, catch up on email, and bring useful information into view. Connected to the E1O app on your phone. Join the early-access waitlist at e1o.com.", "one_liner": "Camera-free AI glasses. Your AI, out in the world.", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1772488469, "tags": [ "Hardware", "Consumer", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/e1o", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/e1o.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/e1o", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9320ae60dfd7f05401e99f8ca644e1ab6704289e.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": 3415656, "full_name": "Maceo Cardinale Kwik", "title": "Founder/CEO", "founder_bio": "Founder and CEO of E1O (E1 Optics), building camera-free AI glasses with a private display and a personal assistant. Previously a software engineer at Traba, where I built Datost on nights and weekends before joining YC. Datost reached $400K ARR in eight weeks; I then pivoted to the hardware I wanted to build. B.S. in Computer Science from Virginia Tech in two years, 4.0 GPA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maceo-cardinale-kwik", "x_url": "https://x.com/maceock", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4da7dc7afaa3ecc1fee94de4d1c2f8db75f48f57.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99800, "title": "Datost - The most accurate AI data analyst", "tagline": "A proactive AI data analyst with a built in semantic layer that actually understands your business", "body": "Hey everyone — This is Maceo and Jason, founders of Datost.\n\n**TL;DR:** Datost is an AI data analyst your team @mentions in Slack. It keeps a semantic layer of your business definitions so it understands what questions mean before writing SQL. On the hardest public text-to-SQL benchmark, it scores 75.2%. The best frontier model alone gets 33%.\n\n**Why I built this**\n\nWe saw the problem while I was at Traba, a staffing marketplace. Traba had a lot of data and not enough analysts. Someone would need a number to make a decision, and the path to that number ran through SQL they couldn’t write or an analyst who was busy. The question would sit for hours. By the time the answer showed up, the decision had already been made on a guess.\n\nThere are AI analytics tools out there now. They all have the same problem: they don’t understand your business. When your PM asks “which accounts are at risk of churning,” there’s no column called that. “At risk” has a formula that lives in someone’s head, or a doc, or nowhere. These tools guess an interpretation and commit. Then someone in a Slack thread acts on the answer before anyone checks whether it was right.\n\n**The semantic layer**\n\nDatost maintains a layer of your team’s definitions, what “churn risk” means at your company, how you calculate NRR, which tables are trustworthy, what that internal acronym stands for.\n\nWhen it hits a term it hasn’t seen, it looks it up the same way a new analyst would ask a coworker. When the semantic layer doesn’t have it either, it asks the user before writing any SQL.\n\nIt learns from mistakes too. When it gets something wrong, it leaves notes on the schema so it doesn’t make the same mistake twice. Teams that have been using it for a few months barely correct it anymore.\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f456e145-3c20-47ed-b570-06e70b3c6cda)\n\n**What it actually does**\n\nYour team @mentions Datost in any Slack channel. It searches the semantic layer, explores your schema in a sandbox, writes and tests SQL, then posts the answer in-thread with the work shown. A second model reviews every answer read-only. If the definition says one thing and the SQL does another, the reviewer catches it.\n\nIt also runs on its own. You can set it up to post a pipeline coverage update to #sales every Monday, or flag when a metric moves outside a range you care about. Or if youre old fashioned it can make a beautiful dashboard for you :)\n\n![uploaded image](/media/?type=post&id=99800&key=user_uploads/3433862/f5c22b08-a608-47cd-a986-785487b6935e)\n\nIt connects to Postgres, MySQL, BigQuery, Snowflake, Databricks. Also Datadog, Sentry, PostHog, Coda, Notion, GitHub, and anything else via MCP. It reads your Slack history to see how things were answered before. It reads your codebase to understand how a metric is actually calculated. Charts, dashboards, PDFs, exports, whatever format you need. Most answers come back in under a minute.\n\n**The benchmark**\n\nWe ran Datost against BIRD-Interact, the hardest public text-to-SQL benchmark. 600 deliberately ambiguous questions across 22 messy and realistic PostgreSQL databases, published at ICLR 2026. Every question uses terms that aren’t in the schema.\n\nClaude Opus 4.6, the model Datost runs on, gets 33% on its own. Datost scored 75.2%. Same model. The gap is the semantic layer. On analytical questions, 91%.\n\nFull breakdown here: \n\n**Ask**\n\nIf your team has a Slack, Teams, or Google Chat workspace and data people keep asking about, we can get you running in a day.\n\n* [**Book a call**](https://datost.cal.com/founders/30-min)\n* Email me or Jason: [maceo@datost.com](mailto:maceo@datost.com) or [jason@datost.com](mailto:jason@datost.com)  \n* Or reply here\n\n", "url": "https://www.ycombinator.com/launches/Pxg-datost-the-most-accurate-ai-data-analyst", "votes": 41, "created_at": "2026-04-16T00:27:18.539Z" } ] }, { "id": 31455, "name": "tday.com", "slug": "tdaycom", "former_names": [ "markup.one", "tday" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0407fd665b690944a7e3117449a6850bf1f45e9f.png", "website": "https://tday.com", "all_locations": "San Francisco, CA, USA", "long_description": "tday automatically turns a software company's product into on-brand marketing creative. Connect your product and git repo, and tday generates polished launch videos, social graphics, and ads, the content a team would normally spend hours making in a design tool or pay a freelancer for. tday then publishes the creative and measures how it performs across your social and ad channels, closing the loop from what you ship to what you post.", "one_liner": "AI that turns your product into on-brand marketing content", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1780302406, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tdaycom", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tdaycom.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/designtday", "x_url": "https://x.com/designtday", "fb_url": "https://www.facebook.com/designtday", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0407fd665b690944a7e3117449a6850bf1f45e9f.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": 2227212, "full_name": "Cyrus Kelly", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of tday. 20 y/o. Began taking university courses at 13 and was admitted to University of Adelaide's most selective computer science degree at 15, while still in high school, completing it at 18. Mentored 300+ student founders as Adelaide University's Chief Student Entrepreneur. Before tday, built communities.one, a student club platform with integrated banking which the University of Adelaide invested in. Dropped out of an MBA to build tday full-time in SF.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cyruskelly", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01f34348c3a2a22a2effcc363fed0d26b70de63c.jpg" }, { "user_id": 3751920, "full_name": "David McDonough", "title": "Founder/COO", "founder_bio": "Building tday, an AI pipeline that turns codebases & PRs into on-brand marketing visuals. \n\nPreviously Technical Lead at VAL.AI, where I built Australia's first portfolio-scale residential Energy Efficiency Score, lead team to deploy in market with Australia's largest bank & real estate listing platforms. \nAs Lead Engineer at MEQ Solutions, I built novel ML models that predict lamb and beef eating quality from intramuscular fluorescence-spectroscopy signatures. \n\nB. Eng. (Computer Syst.) (Hons)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-mcdonough-53147a155/", "x_url": "https://x.com/David_l_mcd1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d2dac34655b8cc948862e2bad80b5da5dfdee70.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102365, "title": "tday.com — your code ships, we make it famous", "tagline": "AI that turns your product into on-brand marketing content", "body": "It has never been quicker to build. Most companies are putting out new features or bug fixes daily. But do your users actually know what you shipped today?\n\n\\\nBuilding has never been faster, but telling people about it hasn't kept up. Marketing what you shipped is slower than shipping it: record the demo, fumble fifteen takes, design the post, edit the video, get it on-brand, publish. An afternoon gone for twenty seconds of footage. So most teams skip it, and their best work ships to silence.\n\ntday.com closes that gap. Connect your GitHub repo or point us at your site, and every release turns into a complete launch package: a demo video that shows how the feature works, a feature showcase built to sell it, and on-brand graphics for every placement, published to social automatically.\n\nThere are two ways in, and both produce both outputs. Connect your repo and tday spins up an isolated sandbox, captures the exact change in each pull request before it even merges, and posts the assets back to the PR to review or auto-publish. Or hand us a demo account set up exactly how you want to be marketed, pick the feature, and tday signs in, drives the real flow, and records it.\n\nWhat makes it different is that everything is grounded in your real product and brand. tday already knows your colors, fonts, and voice, so output is on-brand every time, and you can tweak any line, scene, or image from the platform without re-recording the source. Ship a new version and the demo re-records itself: it captures a capability, not a one-off moment.\n\nThe creative we generate is already running at up to 8.3% CTR in early paid tests, several times the typical benchmark. Paid campaigns inside tday are next, and from there, marketing that scales at the speed you ship: hundreds of thousands of on-brand, hyper-targeted assets, generated and published automatically.", "url": "https://www.ycombinator.com/launches/Qd3-tday-com-your-code-ships-we-make-it-famous", "votes": 17, "created_at": "2026-06-01T14:31:20.330Z" } ] }, { "id": 31456, "name": "General Instinct", "slug": "general-instinct", "former_names": [ "Bitstream" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.png", "website": "https://general-instinct.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Making robot post-training and deployment scalable.", "one_liner": "Deployment infrastructure for Physical AI", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779088548, "tags": [ "Robotics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/general-instinct", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/general-instinct.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/general-instinct/", "x_url": "https://x.com/gen_Instinct", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e506831e9805799a19c0fa94ac85f0578ee4374e.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": 2022270, "full_name": "Bill Jiao", "title": "Founder/CEO", "founder_bio": "worked on Siemens' first multimodal foundation model, secured 2 patents on tardigrade proteins as a junior in high school, now building edge intelligence for physical AI.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zhandong-jiao", "x_url": "https://x.com/BillJiao930", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/524ded9c0f2c5c51662b75aa35a6b47d0230b153.jpg" }, { "user_id": 2697564, "full_name": "Guanming Wang", "title": "Founder/CTO", "founder_bio": "Ex Google DeepMind reinforcement learning researcher with robotics research published at ICRA at age 17. Previously conducted robotics research at UCL robotics institute and Tsinghua University.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/guanming-wang", "x_url": "https://x.com/Guanming717", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/229264e545e631dc6b28622345796c47929eedd6.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101508, "title": "General Instinct - The deployment layer for physical intelligence", "tagline": "Deploy frontier AI models onto constrained edge hardware for robots, drones, and physical AI systems.", "body": "# \\*\\*\\*\\*\n\n**TL;DR**: General Instinct distill, quantize, and deploy large frontier AI onto limited hardware on drones, old PCs, and robots.\n\n![uploaded image](/media/?type=post&id=101508&key=user_uploads/2022270/81b34033-67b0-41d9-9f7a-563ed2884da3)\n\n**Problem**:\n\nPhysical AI (robots, drones, IoT) teams can now get frontier models to do impressive things in the lab. The hard part is getting those models to work reliably in production.\n\nSome common patterns:\n\n1\\. Models works well in the cloud, but fails on edge in production.\n\n2\\. Custom use-cases like robots operating in the wild or in space requires on device inference.\n\n3\\. Using Gemini for everything is simply too expensive.\n\nWe built a custom, no code pipeline to solve this problem.\n\n**What we’re building:**\n\nOur first product: **Instinct Edge**. Give us a model, a target device, and a latency budget. We return an offline runtime that hits the budget on hardware like Jetson, mobile NPUs, ARM CPUs, Apple Neural Engine, and Snapdragons.\n\nUnder the hood, this combines compression recipes, custom CUDA / Metal / ARM NEON kernels, and a continuous data-to-serving pipeline.\n\nOne production example: a multimodal classifier on Jetson Orin NX with 111 ms cold start, 100% of decisions inside a 150 ms budget, and zero cloud calls.\n\n**How you can help**:\n\nIf you or anyone you know are running large vision models on edge and are having problems fitting them onto your hardware, let us know by emailing [founders@general-instinct.com](mailto:founders@general-instinct.com)!\n\n", "url": "https://www.ycombinator.com/launches/QPE-general-instinct-the-deployment-layer-for-physical-intelligence", "votes": 10, "created_at": "2026-05-19T06:17:38.703Z" } ] }, { "id": 31457, "name": "ValCtrl", "slug": "valctrl", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e3baf656ebe6d7298a56a2799b4143c1d8a6e653.png", "website": "https://valctrl.com", "all_locations": "New York City, NY, USA", "long_description": "ValCtrl is building the intelligent prediction market: users type any public, resolvable belief about the future, ValCtrl structures it, prices it, and lets them trade it. Today’s prediction markets only support pre-listed questions, leaving user beliefs fragmented across venues, contract wording, rules, and proxy markets. ValCtrl’s world model maps typed beliefs to relevant market signals, evaluates basis risk, prices the claim, and moves toward model-priced liquidity where ValCtrl can take the other side with risk and compliance controls. We are starting from hard belief-to-market queries and building toward a market where anything that can be resolved can be priced.", "one_liner": "ValCtrl is building the only intelligent prediction market", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Banking and Exchange", "launched_at": 1779922059, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Banking and Exchange" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/valctrl", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/valctrl.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "https://x.com/ValCtrl", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e3baf656ebe6d7298a56a2799b4143c1d8a6e653.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": 2458948, "full_name": "Sarth Garg", "title": "Founder/CEO", "founder_bio": "---", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sarkgarg/", "x_url": "https://x.com/gargsarthak678", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a8c7389f5b9bca0be6194fd10dacbf870e771b40.jpg" }, { "user_id": 2979857, "full_name": "Gaurav Paliwal", "title": "Founder/CTO", "founder_bio": "Just building.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/qaurav/", "x_url": "https://x.com/qavrav", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2783c37c25d7f944b7663e0bc25f13a5d7bc30b6.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31458, "name": "Reason Machines", "slug": "reason-machines", "former_names": [ "EasyClaw", "Ara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png", "website": "https://reasonmachines.com", "all_locations": "San Francisco, CA, USA", "long_description": "Reason Machines builds Reason Agent, the autonomous software engineer for engineering teams. Reason connects to GitHub, reproduces bugs, writes code, passes tests, and ships review-ready pull requests with recordings and logs across cloud environments.", "one_liner": "Reason Machines builds Reason Agent, the autonomous software engineer…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775160352, "tags": [ "Developer Tools", "Enterprise Software", "Cloud Computing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/reason-machines", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/reason-machines.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reasonmachines", "x_url": "https://x.com/reasonmachines", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ac8d1fbd9622030ddfab1cc9a6fac1907350004f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e6483df4542e8fec3bc050b1bc1cf0562df4b238.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8caf159fde370af7bbd020dd2a597856e67f6aa5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1868530, "full_name": "Adi Singh", "title": "Founder/CEO", "founder_bio": "co-founder & ceo @ Reason Machines\nEECS @ UC Berkeley, Cybernetics NTNU\nPrev built a rust based IDE from scratch\n21\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adisinghlink", "x_url": "https://x.com/xadisingh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/39dc609171f30d0579beff3ad7feda1e12ddde45.jpg" }, { "user_id": 3131989, "full_name": "Sven Myhre", "title": "Founder/CTO", "founder_bio": "co-founder @ Reason Machines (P26)\n-\nWith a background in EECS from UC Berkeley and scaling ML infra in industry, some notable milestones include winning 1st place in the Norwegian AI Championship 2025, having chaired Norway's largest AI student org and having ran ultramarathons (100km>).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/svemyh", "x_url": "https://x.com/svemyh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fe32f68ce79ac76c83594b8ea44b35b153f2e132.jpg" } ], "jobs": [ { "id": 102429, "title": "Engineering Internship", "url": "https://www.ycombinator.com/companies/reason-machines/jobs/r1SHuHh-engineering-internship", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "Rust", "TypeScript", "Distributed Systems", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 102348, "title": "Ara - The World's First Self-driving IDE", "tagline": "The IDE that thinks ahead of you", "body": "Hey everyone, we’re [Adi](https://www.linkedin.com/in/adisinghlink/) and [Sven](https://www.linkedin.com/in/svemy/) - cofounders of [Ara](https://ara.so/) 👋\\\n\\\n**tl;dr:** we built an IDE for the future\n\n\\\n\\\n**the problem**\\\nThe bottleneck in development keeps moving. It used to be writing the code. Then agents solved that, and it became reviewing the code. Now what's left is planning the next step, and every IDE still waits.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/cb840d79-95f8-446d-b4cd-a60e9db72a85)\n\n**the solution** \\\nAra closes the loop. It proactively plans your next step, handing you proposals you can discard or send off to follow up on, with self-improving memory across all your tools and sessions, and full visibility across chats, files, browsers, terminals, and review panes.\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/fc09658e-c84b-4e56-8b00-4485c3de72ae)\n\n\\\n**team**\\\nAdi and Sven both studied EECS at UC Berkeley. Adi worked in applied ML, at Scale AI and previously built an IDE company. Sven was an ML engineer on production systems and chaired Norway's largest student AI org. Serial hackathon winners, they've built and lived together across four cities and dropped out to build the IDE they always wanted.\n\nThe goal is an IDE that runs the development loop end to end, not one that waits for instructions.\n\n\\\n_The IDE for token-maxxers._\n\n![uploaded image](/media/?type=post&id=102348&key=user_uploads/3131989/eb3b255b-1cc1-4f77-a1c5-aa2f22227b7b)\n\n**our ask**\\\nTry it! [**Download Ara**](https://ara.so/) and email us at [founders@ara.so](mailto:founders@ara.so) with your feedback.", "url": "https://www.ycombinator.com/launches/Qcm-ara-the-world-s-first-self-driving-ide", "votes": 30, "created_at": "2026-06-01T00:32:45.864Z" } ] }, { "id": 31459, "name": "Zibra Labs", "slug": "zibra-labs", "former_names": [ "TBD. We don't have a name yet." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/561de55fc1ba8b5c7254d0ad9eed2d656139b041.png", "website": "https://zibralabs.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "We build distributed compute clusters with the cheapest CPUs and GPUs across Hyperscalers and Neoclouds for AI. Our mission is to bring frontier-grade infrastructure to everyone.\r\n\r\nWe're starting by building large scale high performance computing (HPC) clusters for quantitative trading firms to run parallel simulation workloads such as backtesting. \r\n\r\nOur technology generalizes to critical AI workloads such as post-training with reinforcement learning, fine-tuning, long-horizon agents with high tool use, and batch inference.", "one_liner": "Distributed runtime for AI workloads at scale", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777682633, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/zibra-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/zibra-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/121104148/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/561de55fc1ba8b5c7254d0ad9eed2d656139b041.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": 1593755, "full_name": "Ibrahim Rabbani", "title": "Founder/CEO", "founder_bio": "Former tech-lead of Ray. Previously building databases at LinkedIn. I've built systems that run on hundreds of thousands of machines and serve over a billion people.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/israbbani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/176ed5a2763da0f0789dfd9d86bfe0aa0063bd01.jpg" }, { "user_id": 3417957, "full_name": "Zac Policzer", "title": "Founder/CTO", "founder_bio": "After a career making software that serves over a billion people, with a background primarily in large databases, I'm now building HPC clusters at Zibra Labs\n\nThe past two years I've been focused on what the next generation of AI data center software looks like — and working to shape that future. I've been fortunate to do much of this in open source, which I'm deeply passionate about.\n\nTalk to me about databases, Mahjong, guitars, or weird horror movies.\n\nI'm currently building Zibra Labs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/zac-policzer-41160157", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3e9c5f9df59002165fa7e97d755379069d1e391.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101528, "title": "Zibra Labs: HPC for Quant Trading Firms Running Backtesting at Scale", "tagline": "HPC Clusters for Parallel Workloads on Spot-instances Across Hyperscalers and Neoclouds.", "body": "### Credentials\n\nWe’ve spent years working together building large scale distributed systems that run on hundreds of thousands of machines and serve billions of users. **Every time you leverage your network for a warm intro on LinkedIn, you use three databases that we’ve built: [Venice](https://venicedb.org/),[ Liquid](https://www.linkedin.com/blog/engineering/graph-systems/liquid-the-soul-of-a-new-graph-database-part-1), and[ Espresso](https://engineering.linkedin.com/teams/data/data-infrastructure/storage-infra/espresso).**\n\nAfter LinkedIn, **we were tech-leads of [Ray](https://github.com/ray-project/ray)**, the leading open-source compute platform used by companies such as xAI, Cursor, Bridgewater, P72, Man Group, Two Sigma, and others. Ray has [\\~12M](https://pypistats.org/packages/ray) weekly downloads and is part of the PyTorch Foundation.\n\n### Product\n\n\n\nWe’re building large scale high performance computing (HPC) clusters for **quantitative trading firms** to run **parallel simulation workloads such as backtesting.** \n\nThe scale we’re targeting is\n\n* 100 to 50,000 nodes of mixed hardware (CPUs and GPUs) on hyperscalers and neoclouds.\n* up to 5,000,000 parallel tasks.\n* spot instances for cheaper compute across multiple availability zones, hyperscalers, and neoclouds.\n* < 50ms overhead for task dispatch and scheduling.\n* run the compute in your cloud or on-prem environment to keep your alpha secure.\n\nOur goal is to **make testing trading strategies fast, cheap, and reliable.** \n\n### Vision\n\nWe know that existing solutions do not handle this scale, do not have first-class support for spot-instances, and will not match our low-latency and high throughput performance. \n\nOur technology generalizes to other large-scale compute workloads such as\n\n1. **post-training and reinforcement learning (RL)** for frontier and applied AI labs\n2. **massively parallel robotics simulation and sim-to-real training** for robot foundation model teams\n3. **virtual screening and molecular dynamics** for techbio and pharma R&D\n4. **scientific simulation** (CFD, climate, seismic, FEA) for HPC teams looking to move beyond MPI and SLURM.\n\n### Ask\n\nReach out if you\n\n1. Are running simulation workloads that require lots of computation at a quant trading firm.\n2. If you need HPC for a different use-case.\n3. Want to grab a beer and talk about distributed systems or HPC.\n\nCheers!\n\nIbrahim and Zac", "url": "https://www.ycombinator.com/launches/QPY-zibra-labs-hpc-for-quant-trading-firms-running-backtesting-at-scale", "votes": 8, "created_at": "2026-05-18T20:53:24.005Z" } ] }, { "id": 31460, "name": "PLAN0 AI", "slug": "plan0-ai", "former_names": [ "PLANO AI Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/abb178493b637223c4623f43b2c209131939af8e.png", "website": "https://plan0.ai/", "all_locations": "", "long_description": "PLAN0 is building the Bloomberg of construction for real estate developers, investors, and general contractors — $30B of projects are already running through the platform.\r\n\r\nWe analyze architectural plans using vision models to generate detailed cost estimates and analytics in minutes. Through industry partnerships, the platform also aggregates historical and real-time project data across all major geographies to power ML-driven analytics, decomposing costs into market-observable factors and creating an agentic layer for cost optimization.", "one_liner": "Construction Cost Intelligence.", "team_size": 4, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1777504379, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/plan0-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/plan0-ai.json", "year_founded": 2026, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/plan0-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/abb178493b637223c4623f43b2c209131939af8e.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": 3117391, "full_name": "Arash Barati", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Plan0 AI. 12 years in real estate private equity, development, and lending ($7B+ of real estate projects). Columbia MSc + ex adjunct professor.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arash-barati-06180926/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dacbef37e7c6c8fa9371e9f59a1f88faccbc18f.jpg" }, { "user_id": 3206339, "full_name": "Shervin Barati", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Plan0 AI. Former Apple engineering manager (8 years), leading development of hearing health features for AirPods. Roboticist at heart (Engineering Science - Robotics, University of Toronto).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shervin-barati-70868b3ab/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cfea845b589c267d9839d3cba52633db7673559.jpg" }, { "user_id": 3201799, "full_name": "Dimitris Pagonakis", "title": "Founder", "founder_bio": "Co-founder of Plan0 AI. Lead data & analytics. Former PM at Point72, ex-Citadel. MIT. Building a real-time construction cost engine using ML to predict pricing and attribute cost drivers across micro + macro data.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dimitris-pagonakis-0811b769", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6487fbc26290905a8bc516167b751bf32adcc949.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101293, "title": "PLAN0: AI-Powered construction cost estimates & analytics", "tagline": "Turn your architectural blueprints to cost estimates and analytics in minutes.", "body": "**TL;DR:** PLAN0 turns architectural plans into construction cost estimates in minutes and is building the Bloomberg of construction. $20B of projects are already running through the platform.\n\n**The Problem:** The process of estimating the cost of a real estate development project is currently done manually, which could take many weeks and is prone to human error. The construction industry also lacks transparency, making it difficult for stakeholders to benchmark projects, understand local market dynamics, learn from past projects, and anticipate future cost escalations.\n\n**The Solution:** PLAN0 uses computer vision models to analyze architectural plans and generate detailed cost estimates. Through industry partnerships, the platform is also building a database of historical and real-time cost data to power its analytics. A developer can test whether switching from concrete to steel reduces cost, a lender can stress-test against historical overrun patterns, and a contractor can lock in steel pricing ahead of forecasted hikes.\n\n**Background Story:** Arash has led over $7B of commercial real estate projects across private equity, lending, and development in North America. After experiencing many of these challenges firsthand, he partnered with his brother Shervin (ex-Apple) and best friend Dimitris (ex-Citadel, MIT) to build PLAN0.\n\n**Our ask:** If you know any real estate developers, investors, or general contractors, we’d love to get in touch.\n\n[**https://youtu.be/hdGRIDNumc0**](https://youtu.be/hdGRIDNumc0)", "url": "https://www.ycombinator.com/launches/QLl-plan0-ai-powered-construction-cost-estimates-analytics", "votes": 28, "created_at": "2026-05-13T17:38:34.587Z" } ] }, { "id": 31463, "name": "Armature", "slug": "armature", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cafd940f7349e6c612893fad752013b10458ce39.png", "website": "https://armature.tech", "all_locations": "Paris, Île-de-France, France", "long_description": "Coding agents like Claude Code, Codex and Cursor now decide which tools get installed in a codebase. Armature runs the real agents inside a panel of realistic repositories, measures whether they pick you, and works with your team on the docs, SDK and content that make them choose you.\r\n\r\nWe call this Agent-Led Growth (~coding agents GEO for dev tools).\r\n\r\nAnd once agents use your product, Armature shows you what users do with it through AI, with self-serve MCP analytics and evals that catch regressions before your users see them.", "one_liner": "We get your product picked by coding agents.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1778126369, "tags": [ "Marketing", "SEO", "AI", "APIs" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "France", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/armature", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/armature.json", "year_founded": 2026, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/armature-tech", "x_url": "https://x.com/ArmatureYCP26", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/armature-3615", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cafd940f7349e6c612893fad752013b10458ce39.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": 3408440, "full_name": "Theodore Otzenberger", "title": "Founder/CEO", "founder_bio": "Ex-Palantir, studied at Polytechnique.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/th%C3%A9odore-otzenberger-895345131/", "x_url": "https://x.com/Totzenberger", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aecab3cbccf2f426fe2735507cde98d9e0bdfb27.jpg" }, { "user_id": 3284644, "full_name": "Louis Scremin", "title": "Founder", "founder_bio": "Previously leading AI Automation (AI Agents & MCP servers) at Joko as early employee", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/louis-scremin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0841ba8c45279329c31ad5a76eab2bdd0c7a79b4.jpg" } ], "jobs": [], "news": [ { "title": "Which tools do Claude, Codex and Cursor choose? We measured 17k runs to find out | Hacker News", "url": "https://news.ycombinator.com/item?id=49557206", "date": "Sep 02, 2026" } ], "launches": [ { "id": 101594, "title": "Armature - Making your app finally usable by AI agents", "tagline": "Armature helps companies monitor, analyze, and optimize how AI agents experience their products.", "body": "Hey everyone, we’re [Theodore](https://www.linkedin.com/in/theodore-otzenberger-895345131/) and [Louis](https://www.linkedin.com/in/louis-scremin/) - Co-Founders of [Armature](https://armature.tech/) 👋\n\n### TL;DR\n\n**Armature helps companies monitor, analyze, and optimize how AI agents experience their products.**\n\n* We discover your product through MCP and CLI, **run the real workflows your customers’ AI agents do** and let you finally see your customers’ agents thinking **traces**.\n* We provide analytics, run **benchmarks**, and turn this into **concrete actions** to improve your MCP and CLI.\n* This is only the beginning: we are reinventing the building blocks of the ~~User~~ **Agent Experience**.\n\n**_The Ask:_** _If you are building a product that is increasingly used by AI agents or if you want to ensure agents can use your product but don’t know where to start, we’d love to hear about your challenges! You can also try our product self-serve **for free** directly at [armature.tech](http://armature.tech)._\n\n\n\n### ❌ The Problem: The Missing Agent Experience (AX)\n\nWe have 30 years of tooling to optimize User Experience (UX), from session replays and funnel analytics to live support chat. But as products are increasingly operated by **AI agents** rather than humans, we lack the equivalent tooling for **Agent Experience (AX)**.\n\nRight now, companies have **zero visibility** into how each agent (Claude, Codex, ChatGPT, OpenClaw, etc.) interacts with their products. And when a bad AX causes an agent to fail silently, the end-user simply churns.\n\nBut it goes deeper. As agents become the primary users, the fundamental mechanics of software products simply stop working. Because if a human isn’t looking at the screen:\n\n* _How do you upsell a premium feature to an AI?_\n* _How do you build brand loyalty with a user that doesn’t feel emotions?_\n* _How do you offer customer support when an agent fails?_\n\nWe are building Armature to solve these exact problems and so many more questions related to this shift!\n\n### 💡 Our Solution: Armature\n\nArmature helps companies monitor, analyze, and optimize how AI agents experience their products.\n\n**What we do today:**\n\n* **Automated testing:** We run complex sessions against your MCPs/CLIs across all major harnesses and models to catch broken workflows before your users do.\n* **AX analytics & benchmarking:** No more black boxes. We trace agent sessions to show you exactly what the model \"thought\", what context it missed, and why it failed. We measure your AX against competitors to ensure you remain the preferred platform for agents to use.\n* **Auto-remediation:** Our MCP lets your internal coding agents plug into Armature to autonomously fix your product's AX based on our run data.\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/5642c5dd-a3b1-46e1-865d-a0425ceba1d5)\n\n**Our vision for tomorrow:**\n\nReaching full understanding of how agents use your product and how you can improve it is only step one. \n\nThe next step is to provide the **foundational infrastructure for the Agent Experience**, powering agent-native revenue, lifecycle marketing, and customer support for the next generation of software.\n\n### 🙏 Our Ask: If you’re building apps for agents, let’s talk!\n\n1. **Audit your MCP or CLI:** If you are building for agents, you can start by running your first audit & benchmark on [**armature.tech**](http://armature.tech) **for free** to see how they actually experience your app.\n2. **Let’s chat:** If you are facing challenges to make your app usable by agents or optimize the agent experience, please reach out to [**founders@armature.tech**](mailto:founders@armature.tech). We’d love to discuss and help you with this!\n\n### 👬 The Team: why we are working on this\n\nBefore founding Armature, Louis scaled **AI agents at Joko, a 6M user consumer app**. Theo was a **FDE at Palantir** and then built petabytes-scale **observability** from scratch as a Founding Engineer at Tsuga, a Datadog spin-off.\n\n**Blindly shipping a self-tested MCP to 6M of edge cases drove us crazy so we decided to build the solution.**\n\n![uploaded image](/media/?type=post&id=101594&key=user_uploads/3408440/bdb32e65-c048-467e-aa62-0e67c8f1fff7)\n\n", "url": "https://www.ycombinator.com/launches/QQc-armature-making-your-app-finally-usable-by-ai-agents", "votes": 25, "created_at": "2026-05-19T20:45:48.490Z" } ] }, { "id": 31464, "name": "Soria", "slug": "soria", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b2506991797891dcda24e0fe6be2c7f7a60423.png", "website": "https://www.soriaanalytics.com/", "all_locations": "New York City, NY, USA", "long_description": "Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.", "one_liner": "AI Financial Research Terminal built for Healthcare (and beyond)", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1779835583, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/soria", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/soria.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/05b2506991797891dcda24e0fe6be2c7f7a60423.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": 1865223, "full_name": "Adam Ron", "title": "Founder/CEO", "founder_bio": "Adam led coverage of the healthcare sector Soria covers today at Bank of America, and advised 100s of hedge funds on how to invest in the industry. He went to Rutgers, and while there started his first company when he was 18 (GoPuff competitor).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adammron", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66b9952ede5ab5722848b0c42a316469a5cd2ce9.jpg" }, { "user_id": 2983501, "full_name": "Cameron Spiller", "title": "Founder/CTO", "founder_bio": "Cameron was the first engineer at Petal and Pinwheel scaling them to $500M-$1B in valuation. He later served as a startup CTO and advisor to multiple early‑stage startups.\n\nCameron went to Virginia Tech, and at 12 he started his first company in computer repair and data recovery.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cameron-spiller-b316b850/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0c0d910948d7ff7ac50b8db73e0d4c270ef23e0.jpg" } ], "jobs": [ { "id": 102958, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/soria/jobs/tEHmSjy-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $175K", "equity_range": "2.50% - 5.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102043, "title": "Soria: AI-native Financial Terminal for Healthcare (and beyond)", "tagline": "The only financial research terminal built for sector specialists", "body": "**_TL;DR:_** Soria is an AI-native Financial Terminal for investors who specialize in a particular sector, starting with healthcare. Our agents convert hundreds of the most important public and private sources into an always-on financial model, reviewed by domain experts and delivered to hedge funds, banks, and asset managers through a terminal UI, MCP, API, warehouse sync, and research feed. Unlike our competitors, we own the data layer and expand bottom-up, one sector at a time - additionally our agents proactively do research on behalf of our clients without them lifting a finger or sharing any data.\\\n\\\n\n\nToday [**Cameron Spiller**](https://www.linkedin.com/in/cameron-spiller-b316b850/) and I are excited to launch **Soria**, an AI research terminal built specifically for healthcare investors in public markets.\n\nI spent 8 years as a VP in Equity Research at Bank of America covering healthcare and serving hundreds of hedge fund, private equity, and VC clients. Soria is the platform I always wished I had. Cameron is a serial founding engineer and CTO who has spent the last decade building fintech startups, always from <5 people all the way to billion dollar plus outcomes.\n\nIn addition to YC we are backed by the founders of GLG, as well as other industry insiders, and we recently won BattleFin’s #1 New Data Vendor award. **We already serve teams at many of the largest banks, hedge funds, and asset managers in the world, managing >$1T in assets**. Our users are fundamental equity analysts, often people who have spent years or decades covering healthcare.\n\nThe core problem is simple: the research process is still too manual, time-intensive, error-prone, and fragmented. Analysts waste up to 1/3 of their time doing repetitive work that doesn’t even generate alpha. Meanwhile, most solutions including Bloomberg are too generalized, they offer almost nothing relevant to healthcare or other domain specific verticals.\n\nSoria ingests the most important public and private sources healthcare analysts actually care about, structures them into an always-updated sector model. Pre-AI the domain context just didn’t scale.\n\nWe are differentiated in three critical ways:\n\n**1. Soria is proactive. It’s like an OpenClaw agent that you don’t have to set up.**\n\nThere is **zero setup**. From day one, analysts receive updates on the most important data points, curated and reviewed by actual research analysts. Every day we add more sources, and the model gets better without users needing to configure or maintain anything.\n\n**2. Soria requires no data sharing.**\n\nWe do not need to integrate into a bank or fund to be useful. We build the research and data layer ourselves, then deliver the **output** however the customer wants it: terminal UI, MCP, API, warehouse sync, or email.\n\n**3. Soria builds coverage one sector at a time.**\n\nMost AI finance tools help analysts work faster, but still leave the job of sector coverage to the analyst. Soria can do that work upfront because we are hyper-specialized.\n\nFor healthcare services teams, Soria can consolidate $200k+ of annual vendor spend across products like Milliman, HMA, Mark Farrah, AHD, Daloopa, FactSet, and NAIC, while also absorbing a large portion of the repetitive associate-level data work that doesn’t scale.\n\nThat’s just the first sector, there are 228 globally. Our vision: as we build out each sector, we consolidate it into a model of healthcare, the US and eventually the world.", "url": "https://www.ycombinator.com/launches/QXr-soria-ai-native-financial-terminal-for-healthcare-and-beyond", "votes": 37, "created_at": "2026-05-28T00:48:50.381Z" } ] }, { "id": 31465, "name": "Aseon Labs", "slug": "aseon-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.png", "website": "https://www.aseonlabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Aseon Labs builds robotic pitstops for self-driving cars.\r\n\r\nAutonomous vehicles can drive themselves, but they still rely on humans and centralized depots for charging, cleaning and servicing multiple times per day. As fleets scale, the operational layer makes up 70% of the cost of the service and is of the largest barrier to uptime, profitability and market expansion.\r\n\r\nAseon Pods are robotic micro-depots that can be deployed directly within operating zones, bringing fleet servicing to where demand exists. By eliminating unnecessary depot trips and automating routine operations, Aseon helps autonomous fleet operators increase uptime, reduce reset cost by 50% and unlock scale.\r\n\r\nFounded by the team behind Pushme, which deployed 5,000 mobility infrastructure locations across 40 cities before its acquisition by TIER-Dott, Aseon is funded and building product in Redwood City for pilot deployment with major autonomous vehicle operators.", "one_liner": "Robotic pitstops for self-driving cars", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1778523485, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "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/aseon-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aseon-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aseon-labs/", "x_url": "https://x.com/aseonlabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3a7200a010691b9273e88c68a977b6ab42f7e674.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": 180428, "full_name": "George Kalligeros", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I led a 100-person team and deployed $300M+ in fleet hardware as VP Hardware @ TIER-Dott. Started my career as a mechanical engineer @ Tesla.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kalligeros", "x_url": "https://x.com/kalligeros", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1037c0ba20b91a20fd9c522975ab165f3bfe1d01.jpg" }, { "user_id": 2699748, "full_name": "Dan Keene", "title": "Founder/COO", "founder_bio": "Cofounder & COO @ Aseon Labs, robotic pitstops for self-driving cars.\n\nPreviously founded Pushme, building the world’s largest battery-swap network for shared e-scooters & e-bikes across 5,000 stations in 40 cities before acquisition by TIER-Dott ($600M raised). \n\nBefore Aseon, I was CBO @ Superduper ($4B cross-chain infra) and led 20 markets @ Deliveroo (DoorDash). Started in M&A @ Greenhill & Co. and UBS / Credit Suisse.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dancbkeene/", "x_url": "https://x.com/keenebyname", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32403bb7de49b9384a9d2c4f77055e5a9b82f5c1.jpg" } ], "jobs": [ { "id": 94541, "title": "Senior Robotics Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/kHuQykj-senior-robotics-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$170K - $220K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96506, "title": "Founding Mechanical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/LQbGSh4-founding-mechanical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 96507, "title": "Founding Electrical Engineer (Full-Time)", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/CmzAwOS-founding-electrical-engineer-full-time", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$170K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 98719, "title": "Mechanical Engineering Placement (6 Months), New Grad", "url": "https://www.ycombinator.com/companies/aseon-labs/jobs/KAqkZ7W-mechanical-engineering-placement-6-months-new-grad", "location": "Redwood City, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "$8K - $10K / monthly", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Robotaxis drive miles just to get cleaned and charged; this new startup wants to fix that | TechCrunch", "url": "https://techcrunch.com/2026/06/26/this-silicon-valley-startup-has-raised-10m-to-build-pitstops-to-clean-and-charge-robotaxis/", "date": "Jun 26, 2026" }, { "title": "Atlanta puts robotaxi technology to the test - YouTube", "url": "https://www.youtube.com/watch?v=1697nkIVH-8", "date": "Jun 03, 2026" }, { "title": "TechCrunch Mobility", "url": "https://techcrunch.com/2026/05/17/techcrunch-mobility-the-ai-skills-arms-race-is-coming-for-automotive/#:~:text=Aseon%20Labs%2C%20a%20Redwood%20City%2C%20California%2C%20startup%20that%20has%20developed%20a%20depot%20in%20a%20box%20for%20charging%2C%20cleaning%2C%20and%20inspecting%20autonomous%20fleets%2C%20came%20out%20of%20stealth%20with%20undisclosed%20backing%20by%20Y%20Combinator.%C2%A0", "date": "May 17, 2026" }, { "title": "Can this Silicon Valley startup make autonomous fleets profitable? - Fast Company", "url": "https://www.fastcompany.com/91540540/can-this-silicon-valley-start-up-make-autonomous-fleets-profitable", "date": "May 13, 2026" }, { "title": "Welcome to Ground Truth | Introducing Aseon Labs", "url": "https://rideai.substack.com/p/welcome-to-ground-truth-introducing?utm_source=substack&publication_id=2261569&post_id=197665993&utm_medium=email&utm_content=share&utm_campaign=email-share&triggerShare=true&isFreemail=true&r=7z5ecj&triedRedirect=true", "date": "May 12, 2026" } ], "launches": [ { "id": 101210, "title": "Aseon Labs: robotic pitstops for self-driving cars", "tagline": "A depot in-a-box for charging, cleaning & inspecting autonomous fleets", "body": "**TL;DR:** Autonomous vehicles still rely on centralized, human-operated depots for daily charging, cleaning and servicing. Aseon builds robotic pitstops that let AV fleets reset directly inside the city, reducing downtime, dead miles and operating cost.\n\n\n\n## **❌ The problem**\n\nAutonomous driving is working. The operational layer around it is not.\n\nToday, autonomous vehicles regularly leave high-demand zones up to 3 times per day just to charge, clean and get inspected.\n\nMost fleets still rely on large, remote, human-operated centralized depots.\n\nThat means:\n\n* 10–15 mile roundtrips just to reset vehicles\n* vehicles out of operation for hours\n* up to 44% of vehicle time spent driving empty\n* as many as 1 in 3 vehicles unavailable during peak demand\n* reset costs that can exceed $100 per cycle\n\nFor autonomous fleets, uptime is revenue. But today’s operating model still looks like traditional depot logistics.\n\n## **✅ What we built**\n\nWe believe autonomous vehicles need autonomous operations, always available and distributed across the centre of the city.\n\nSo we built the Aseon pod: **a robotic pitstop station that bundles high-frequency depot workflows into a compact, rapidly deployable pod.**\n\nAseon Pods allow fleets to:\n\n* charge vehicles near demand\n* automatically clean interiors & exteriors\n* run inspection workflows between rides\n* access a reset within max. 2 miles of a vehicle’s location\n\nCompared to traditional depot operations, Aseon can:\n\n* reduce reset cost by up to 50%\n* reduce time out of service by up to 65%\n* increase revenue per vehicle by $50k+ per year\n\nAseon Labs is building a new category of infrastructure for autonomous fleets: robotic pitstops deployed directly where vehicles operate.\n\n![uploaded image](/media/?type=post&id=101210&key=user_uploads/180428/dacbddc1-d989-4d47-94b1-37c323826394)\n\n## **🧩 Why us**\n\nWe’re second-time founders, building together for the second time.\n\nOur previous company, Pushme, became the world’s largest battery-swap network for shared e-scooters and e-bikes, across 5,000 locations in 40 cities before being acquired by TIER-Dott ($600M raised).\n\nBefore Aseon:\n\n**George Kalligeros** led TIER’s 100-person hardware organization and deployed $300M+ in fleet hardware as VP Hardware; was a mechanical engineer at Tesla.\n\n**Dan Keene** scaled TIER energy network to 5k locations. He later served as CBO at Superduper ($4B infra). Prior to that he led 20 markets at Deliveroo (DoorDash) and worked in M&A.\n\n# **📣 Our Ask**\n\nWe’re currently building our founding team across robotics, hardware and ML.\n\nIf you know exceptional engineers working on robotics, autonomy, computer vision, hardware systems or industrial automation, we’d love an introduction.", "url": "https://www.ycombinator.com/launches/QKQ-aseon-labs-robotic-pitstops-for-self-driving-cars", "votes": 11, "created_at": "2026-05-11T20:18:54.868Z" } ] }, { "id": 31466, "name": "Walter", "slug": "walter", "former_names": [ "Lobster AI", "Vaulter", "Vaulter Technologies", "Vaulter" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/32ab6a53db384b8f8c669e8396a088094060b64a.png", "website": "https://www.walter.one", "all_locations": "San Francisco, CA, USA", "long_description": "Walter is an AI employee for manufacturing operations.", "one_liner": "AI Employee for Manufacturing Operations", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1779919838, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/walter", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/walter.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/waltertechnologies/?viewAsMember=true", "x_url": "https://x.com/walterindustry", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/32ab6a53db384b8f8c669e8396a088094060b64a.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": 3097279, "full_name": "Nikolas Keller", "title": "Founder/CEO", "founder_bio": "First hire at GC-backed AI Manufacturing Startup, Prev. cooking in French, Italian and German Fine Dining Kitchens. CDTM, Z Fellows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikolas-keller/", "x_url": "https://x.com/nikolas_keller", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5410d8fbcf1dbb99ae7c646c634913313a7fd850.jpg" }, { "user_id": 2725726, "full_name": "Lukas Postulka", "title": "Founder/CTO", "founder_bio": "ex Quant Trader / TUM, Z Fellows.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/postulkalukas", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/982fb2e7f7b33b78318adfbd4e9e9bff0f5ecc21.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102405, "title": "Walter: AI Employee for the Manufacturing Back Office", "tagline": "An AI employee that runs the manufacturing back office, inside the software the factory already uses.", "body": "\n\nHey everyone 👋\n\nWe're[ ](https://claude.ai/cowork/LINKEDIN)Nikolas and Lukas, co-founders of Walter. \n\n### **TL;DR**\n\nWalter is an AI employee for the manufacturing back office. Instead of building yet another integration, we gave Walter a login. He signs into SAP, Microsoft Dynamics 365, or Oracle the way a new hire would, works out of Teams and email like the rest of the team, and takes over the manual work no one wanted: entering purchase orders, ordering from suppliers, catching pricing errors before they ship. A purchase order that used to take 15 minutes now takes a few seconds.\n\n### **The Team**\n\n* Nikolas Keller grew up across four countries, started to cook in French, Italian and German fine dining kitchens at 18, then flew to San Francisco with a duffel bag and talked his way into a manufacturing AI startup backed by Neo & GC.\n* Lukas Postulka paid for TU Munich by living in a monastery in exchange for cleaning. Got a job at  PwC by mailing them a portfolio they never asked for. Landed a job as quant trader by scoring first on technical trial.\n\n![uploaded image](/media/?type=post&id=102405&key=user_uploads/3097279/555d91df-f392-4137-ae2a-d5816f70df7b)\n\n### **The Problem**\n\nWe talked to more than 100 manufacturers and heard the same story every time. For thirty years, every vendor sold them the same fix and none of it worked.\n\n* Better integrations, cleaner APIs, a newer ERP: all sold as the answer, none of them the problem.\n* The real bottleneck was never the software. It was that a person had to sit there and operate it, one purchase order at a time.\n* So the back office stays buried in manual data entry, supplier emails, and pricing mistakes caught too late.\n\nThe work is repetitive, high volume, and expensive to staff. Every factory has it. No one has solved it.\n\n### **Our Solution**\n\nWe stopped trying to replace the software. We gave Walter a login instead.\n\nWalter logs into the systems a factory already runs (SAP, Dynamics, Oracle, Teams, Outlook and Gmail, etc.) the way a new employee would. Same screens, same buttons, no integration project, no rip and replace. He reads the orders, enters them, places supplier POs, and catches the pricing mismatch before it becomes a costly mistake. \n\nWhat used to take a back office team now runs on its own.\n\nWe start with packaging and industrial manufacturing, where the ERPs are oldest and the manual load is heaviest. The endpoint is bigger: once Walter runs the workflows, the software underneath becomes a database he operates in.\n\n### **Our Ask**\n\nIf any of these are you, we'd love to talk:\n\n* Manufacturers drowning in back-office data entry across SAP, Dynamics, or Oracle.\n* Operators and heads of digitization who want to see Walter run on their own ERP.\n* Anyone who knows a factory still doing this work by hand.", "url": "https://www.ycombinator.com/launches/Qdh-walter-ai-employee-for-the-manufacturing-back-office", "votes": 60, "created_at": "2026-06-02T16:14:38.154Z" } ] }, { "id": 31468, "name": "Chronicle Labs", "slug": "chronicle-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6facb982758514ecf99ea3032c7c55955f25ba5.png", "website": "https://chronicle-labs.com", "all_locations": "San Francisco, CA, USA", "long_description": "Chronicle Labs is a staging environment for enterprise AI agents: we capture every event the agent sees in production and backtest it, so customers can safely test new behaviors without breaking anything.", "one_liner": "Staging Environments for Enterprise AI Agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778001486, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/chronicle-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/chronicle-labs.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d6facb982758514ecf99ea3032c7c55955f25ba5.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": 251142, "full_name": "Ayman Saleh", "title": "Founder/CTO", "founder_bio": "Ayman Saleh, CEO of Chronicle Labs (YC P26)\n\nI’ve spent my career building at the edge of engineering, from working at NASA JPL on programs including the James Webb Space Telescope and the Mars 2020 Perseverance rover to later leading engineering at FlightWave. When Perseverance landed on Mars, it crystallized something for me: I wanted to spend my life building, so I left my graduate program at Stanford, and eventually led me to found Chronicle Labs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ayman-saleh", "x_url": "https://x.com/sir_aymansaleh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54b50781d4868a482ec07f644fc3091161718fee.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100923, "title": "Chronicle Labs - Staging Environments for AI Agents", "tagline": "Staging environment for enterprise AI agents", "body": "TLDR; \n\n**Chronicle Labs is a staging environment for enterprise AI agents: we capture every event the agent sees in production and replay it, so customers can deploy new behaviors quickly without breaking anything.** \n\n\n\nHello Bookface! My name is Ayman, and I’m the CEO of Chronicle Labs.\n\nFor the past 10 years, I’ve been building autonomous systems. I’ve had the chance to work on the Mars Rovers and the James Webb Space Telescope at NASA JPL, and throughout my career, I’ve been able to build autonomous systems from day one without ever having to physically touch the robots,  thanks to the power of logs that replay state like a time machine.\n\nThink tools like [Rerun.io](http://Rerun.io) or ROS bags. These tools are incredibly powerful because they capture the full state of a robotic system at a slice in time, which can then be replayed down to the microsecond to understand what actually happened.\n\nAI agents are the autonomous systems of businesses.\n\nBut if you want to develop an AI agent for your business, it’s rare to have a structured slice of logs that you can replay to prove your agent will actually work. Teams can vibe-deploy, but testing on your users is a bad idea, especially for enterprises that are risk-averse.\n\nToday, most teams try to solve this by hand-building evals. That works for a bit, but it doesn’t scale, and honestly I’ve seen many teams skip evals entirely. More importantly, as your business grows, your operations keep changing. Small nuances, edge cases, and workflow drift will always start to trend away from a static eval set.\n\nMy co-founder [@Rowan Zyadeh](https://bookface.ycombinator.com/user/1599381) and I built Chronicle to give teams the ability to backtest their agents against their actual operational reality. Chronicle takes your existing operational history and turns it into seeded sandboxes with scenarios based on how your business really works.\n\nBook a demo: \n\nIf you’re building agents and you’re sick of vibe-deploying, or you feel like your eval suite is lacking, we want to talk to you.", "url": "https://www.ycombinator.com/launches/QFn-chronicle-labs-staging-environments-for-ai-agents", "votes": 11, "created_at": "2026-05-07T01:55:28.647Z" } ] }, { "id": 31470, "name": "Tasklet", "slug": "tasklet-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81b17e42b6c7c39c503ac476a049465e7d2e530d.png", "website": "https://tasklet.ai", "all_locations": "San Francisco, CA, USA", "long_description": "AI chatbots can answer questions, but they can't do your work — they aren't connected to your tools, can't take actions, and stop running when you close the tab. Meanwhile, knowledge workers are still spending most of their day switching between dozens of SaaS apps, manually stitching together workflows that should be automated.\r\n\r\nTasklet is the AI agent that actually does the work. It connects to every tool you use — via thousands of built-in integrations, any HTTP API, or MCP servers — and takes real actions on your behalf: pulling reports, updating CRMs, triaging emails, processing data, and more. When it needs a UI, it generates one on the fly. When it needs to crunch numbers or do bulk operations, it writes and runs code in a cloud sandbox. When it needs to interact with a website that doesn't have an API, it uses a real browser. And because it runs in the cloud 24/7, you can set up triggers to have it take ongoing responsibility for workflows — not just do something once, but handle it going forward.\r\n\r\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native agent runtime, best-in-class context engineering, a universal connections layer, and multi-model support that keeps us on the frontier as AI improves. \r\n\r\nWe think legacy SaaS is being unbundled by agents, and Tasklet is the operating system that ties it all together.", "one_liner": "Agents that own the work", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775251797, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met at Firebase and continued working together at Google after the acquisition. In 2020 we left to start a company together, initially building an email client called Shortwave. While adding an AI agent to Shortwave in late 2024, we noticed something surprising: some users kept asking for the agent and integrations without the email client. They wanted a general-purpose AI agent that could connect to all their work tools — not just email. So in 2025 we made a bold bet, building Tasklet as a standalone cloud AI agent for knowledge work." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "We founded the company in 2020 as a team of ex-Firebase/Google engineers. We initially built Shortwave, an AI-powered email client. After ChatGPT launched, we went all-in on AI and built a conversational assistant for email that showed real traction.\\\r\n\\\r\nIn fall 2024 we shipped a full AI agent inside Shortwave — and growth accelerated. We started adding integrations with CRMs, project management tools, and messaging apps, and were among the first products to support MCP. That's when something unexpected happened: users started telling us they wanted the agent and integrations but didn't care about the email client.\r\n\r\nSo in 2025 we made a bold move — we built Tasklet, a standalone cloud AI agent for knowledge work. We went from idea to first user in under 6 weeks, and it was a massive hit. Each new capability we shipped (v2 agent architecture, sandbox, computer use, triggers) accelerated growth further, and by January 2026 Tasklet alone was adding more monthly revenue than Shortwave had in its first 4 years." }, { "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 chatbots can answer questions, but they can't actually do your work. They aren't connected to your tools, they can't take actions, and they stop running the moment you close the tab. The result is that knowledge workers still spend most of their day switching between dozens of SaaS apps — pulling data from one, updating another, copy-pasting between tabs, and stitching together workflows manually.\\\r\n\\\r\nWe're building the AI agent that replaces all of that: one app that connects to every tool you use, runs 24/7 in the cloud, can use a computer, and can take ongoing responsibility for entire workflows." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "In the long run, we believe most knowledge work will be done by AI agents, not humans. Tasklet is the operating system for that future — the place where you manage, direct, and collaborate with agents that handle your work across every tool.\r\n\r\nIf we truly succeed, the average knowledge worker will 10x their output not by working harder, but by delegating most of their routine work to agents that run 24/7. Legacy SaaS apps will fade into background infrastructure that agents access via API, and the human's job shifts from doing the work to directing it. We think this is as big a shift as the move from desktop software to cloud — and we're building the platform that makes it happen." } ], "url": "https://www.ycombinator.com/companies/tasklet-2", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tasklet-2.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/taskletai/", "x_url": "https://x.com/TaskletAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81b17e42b6c7c39c503ac476a049465e7d2e530d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8d5edbeb92eeab98b82eab9506397d176a5ac977.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 9178, "full_name": "Andrew Lee", "title": "Founder/CEO", "founder_bio": "Current: founder at Tasklet\nFormerly: founder at Firebase & Shortwave\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/startupandrew/", "x_url": "https://twitter.com/startupandrew", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f4f2dc761f3a9b6dfd2089cc1a88cc449023acc.jpg" }, { "user_id": 3465650, "full_name": "Jonny Dimond", "title": "Founder", "founder_bio": "Putting agents to work @ Tasklet", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonnydimond/", "x_url": "https://x.com/jonnydimond", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f27ef0f6587f0bd991ebb2f466a430a8eedb6cf4.jpg" } ], "jobs": [ { "id": 92948, "title": "Head of Design Engineering", "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/Qz919CA-head-of-design-engineering", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$300K - $450K", "equity_range": "0.35% - 0.70%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92949, "title": "Software Engineer — AI Infra", "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/OXrYogv-software-engineer-ai-infra", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$225K - $425K", "equity_range": "0.20% - 0.65%", "experience": "11+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 92950, "title": "Software Engineer — Platform", "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/HUSklWt-software-engineer-platform", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$225K - $425K", "equity_range": "0.20% - 0.65%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 94464, "title": "Customer Success Engineer", "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/UcpBWuw-customer-success-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$140K - $185K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 94748, "title": "Software Engineer — Product", "url": "https://www.ycombinator.com/companies/tasklet-2/jobs/8WgDV4q-software-engineer-product", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$225K - $425K", "equity_range": "0.20% - 0.65%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 99481, "title": "Tasklet – The cloud agent OS for knowledge work", "tagline": "AI agents that connect to all your tools, use computers in the cloud, and run automatically 24/7 to get real work done", "body": "Hey YC! 👋\n\nWe're Andrew and Jonny, and we're building **Tasklet** — the cloud agent operating system for knowledge work.\n\nTasklet’s AI agents connect to every tool you use at work and actually get things done — pulling reports, updating CRMs, processing data, triaging emails, and more. They run 24/7 in the cloud and take ongoing responsibility for your workflows. We've grown >**1,200% since January 1** to **$5M ARR** and just raised **$20M** from USV, Lightspeed, Jeff Dean, the Collison brothers, and others.\n\n\n\n### ❌ The Problem\n\nAGI is here, but knowledge workers still spend their days switching between dozens of SaaS apps, manually copying data between tools, and stitching together workflows that should be automated.\n\nAI chatbots can answer questions, but they can't actually _do_ your work — they aren't connected to your tools, can't take real actions, and stop running when you close the tab.\n\n### 🛠 What We Built\n\nTasklet is a single, powerful AI agent that:\n\n* **Connects to everything** — thousands of built-in integrations, any HTTP API, any MCP server, or a full cloud browser for sites without APIs\n* **Takes real actions** — not just answering questions, but doing the work across all your tools\n* **Runs 24/7 in the cloud** — set up triggers (schedules, emails, Slack messages, webhooks) and Tasklet handles workflows autonomously, even when you're asleep\n* **Generates UIs on the fly** — need a dashboard, form, or visualization? It creates one instantly\n* **Writes and runs code** — crunches numbers, processes data, and handles bulk operations in a cloud sandbox\n* **Gets smarter over time** — we automatically improve your agents as new models & technologies come out.\n\nThe product is deliberately simple: a chat interface where you talk to an extremely capable agent. But underneath that simplicity is a cloud-native runtime, best-in-class context engineering, and a universal connections layer.\n\n### 📈 Traction\n\n* **>1,200% growth** since January 1\n* **$5M ARR** and accelerating\n* Just raised **$20M** at a **$175M valuation** from **USV, Lightspeed, Jeff Dean, Patrick & John Collison, and others**\n\n### 👥 The Team\n\nAndrew previously founded **Firebase** (YC S11 — acquired by Google) and is back at YC to seize the moment. Jonny was an early Firebaser and the technical lead for Google Cloud Firestore. We lead a 9-person team in San Francisco with deep experience in agent systems, cloud infrastructure, and productivity tools from their time at Firebase, Google, Amazon, and OpenAI.\n\n### 🚀 Try Tasklet & Help us find talent\n\n👉 **Sign up at [tasklet.ai](http://tasklet.ai) and put your new AI agent to work.**\n\n👉 **We're hiring!** 11 open roles across engineering, design, marketing, and more. We’re offering a $20k referral bonus. [Check out our careers page.](https://tasklet.notion.site/Open-Positions-at-Tasklet-2a3688565308819fa2f7e9440b5729fa)\n\nWe'd love to hear what you think — drop a comment and tell us what’s working well & what isn’t.", "url": "https://www.ycombinator.com/launches/PsX-tasklet-the-cloud-agent-os-for-knowledge-work", "votes": 39, "created_at": "2026-04-07T16:48:20.499Z" } ] }, { "id": 31472, "name": "Wato", "slug": "wato", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a0fda3e03dbdf2968a5299c0170999587d03c6a.png", "website": "https://www.watolabs.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Wato gives AI agents shared memory, reusable workflows, connected tools, and living artifacts so work compounds across a team instead of disappearing into chat threads. Teams use Wato to give every agent access to trusted company context and turn useful runs into knowledge the next agent can build on.", "one_liner": "The control point for AI agents at work.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1779059409, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/wato", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/wato.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/watoinc", "x_url": "https://x.com/watolabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a0fda3e03dbdf2968a5299c0170999587d03c6a.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": 1516656, "full_name": "Arihan Varanasi", "title": "Founder/CEO", "founder_bio": "Founder at Wato (YC P26). Prev CS at Stanford.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/arihanvaranasi/", "x_url": "https://x.com/arihanxv", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b2cb8a5294bdedc925c9bb3dc567b9a71fc55c3.jpg" }, { "user_id": 3203486, "full_name": "Rahul Rejeev", "title": "Founder/CTO", "founder_bio": "Founder at Wato (YC P26). Studied CS at Stanford. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rahulrejeev/", "x_url": "https://x.com/rahulrejeev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c3fe64fa084b9d626c9617988e508d047e43695b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102479, "title": "Wato: a shared AI workspace for teams", "tagline": "Permissioned tools, cloud agents, automations, and shared workflows for the AI apps your team already uses.", "body": "Website: \n\n**TL;DR: Wato is a shared AI workspace for teams.** It helps companies keep their AI workflows, company knowledge, integrations, agent sessions, and agent-generated work inside the organization instead of scattered across individual chats, local files, or personal AI accounts. All of this is done via one, unified MCP.\n\n**Ask:** If your team is using AI agents for engineering, ops, sales, research, finance, support, or internal workflows, we’d love to see how we can help. We’re especially interested in teams setting up MCP/tools, sharing prompts or workflows internally, launching cloud agents, or trying to preserve useful agent context across the company.\n\n**The problem:** Teams are already using AI for real company workflows: debugging production issues, preparing sales calls, analyzing customer data, updating models, drafting client deliverables, and searching across internal systems.\n\nBut the work usually disappears into individual tools and accounts. The context, prompts, decisions, files, and tool setups that made the output useful are hard for the next teammate to find, trust, or reuse.\n\n**What Wato does:** Wato gives each team a shared, permissioned AI workspace.\n\nTeams can connect approved integrations and MCP tools, build shared memory, publish reusable skills, run collaborative cloud agent sessions, host live artifacts and dashboards, and trace tool calls across the organization.\n\nThe goal is simple: **when one person or agent learns something useful, builds a workflow, or creates an artifact, that knowledge should stay with the company and become available to the right people.**\n\n**What’s included:**\n\n\\- **Team memory** for durable company knowledge agents can reuse\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/64ae52b1-6599-49c7-9e99-297e4e71a9ae)\n\n\\- **Approved MCP tools and integrations** with org, team, per-user, and tool-level permissions\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/e8673b85-1e38-456a-ad60-d5d90ed2fe80)\n\n\\- **Reusable skills and workflows** library so teams don’t prompt from scratch every time\n\n\\- **Cloud agent sessions** that teammates can view, continue, and collaborate on, with access to a desktop, computer use, filesystem, and environment set up.\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/b3da2993-c84f-4347-ad8a-46fea54ee809)\n\n\\- **Automations** that can be created from connector triggers or run on a specific cadence.\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/edc32ad1-ae2e-42ef-9014-0782e8112464)\n\n\\- **Live artifacts and dashboards** that can use approved company data\n\n![uploaded image](/media/?type=post&id=102479&key=user_uploads/3203486/700f9d35-6150-4012-b58c-e56b54b39c30)\n\n\\- **Tool-call tracing and audit logs** so teams can see what agents accessed and produced\n\nWato also works with the AI tools teams already use, including Codex, Claude Desktop, Cursor, Claude Code, and other MCP-compatible environments. You add the Wato MCP once, authenticate with your company account, and your agent gets access to the right team memory, skills, and approved tools.\n\n**Backstory:** We started working on Wato after seeing the same problem across institutions adopting these tools like Claude or Codex. A super user would figure out a great workflow, debugging process, research method, client-prep flow, or tool setup, but the useful part would end up stuck in a chat thread, local file, or personal account. Then the next person would start over.\n\nAt the same time, companies didn’t want every employee independently managing MCP configs, tool permissions, prompts, and scattered agent instructions. They needed a shared layer between the company and the AI tools its people use to normalize AI use.\n\nThat became Wato.\n\n**We’d love to talk to teams who are:**\n\n\\- **using agents** across engineering, ops, sales, research, finance, support, or internal workflows\n\n\\- setting up **MCP servers or internal tools** for agent use\n\n\\- trying to **share prompts, skills, playbooks, or workflows** across a team\n\n\\- creating AI-generated **dashboards**, docs, reports, or **artifacts** that need to be shared securely\n\n\\- worried about **company knowledge** disappearing into personal AI accounts\n\n\\- thinking about **permissions**, **review**, **tracing**, or **governance** for agent work\n\nIf this sounds familiar, and I’m guessing it does for a lot of you, we’d love to show you Wato and get feedback.\n\nWebsite:   \n\nTwitter/X: ", "url": "https://www.ycombinator.com/launches/Qet-wato-a-shared-ai-workspace-for-teams", "votes": 9, "created_at": "2026-06-03T16:52:49.877Z" } ] }, { "id": 31473, "name": "Kuli", "slug": "kuli", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0faca2d7e56f4ac9ab8fe42a2e560d516e70bab.png", "website": "https://kuli.one", "all_locations": "Paris, Île-de-France, France", "long_description": "Kuli is an AI coworker for marketing teams at the world's largest consumer brands. Our agent watches all videos across social media, learns the brand's context and helps them turn signals from billions of social videos into winning campaigns without increasing headcount.\r\n\r\nPrevious platforms gave marketers databases to search through and a CRM. Kuli actually watches the content. Marketers at team like Disney, Nivea and PostHog use it to scout creators, run analysis on trends and competitor strategies, and analyse what makes their campaign perform better.\r\n\r\nFor 10 years, influencer marketing meant more tools, more tabs, more spreadsheets. Kuli replaces all of that with one single agent you orchestrate. One marketer with Kuli does what a $50K/month agency bills for manual tasks.", "one_liner": "AI coworker for marketing teams at the largest consumer brands", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1775508388, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kuli", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kuli.json", "year_founded": null, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/kuliai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d0faca2d7e56f4ac9ab8fe42a2e560d516e70bab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1865906, "full_name": "Michael Hodara", "title": "Founder/CEO", "founder_bio": "Cofounder and CEO @Kuli, Creator Marketing OS\n\nBefore Kuli, I led AI and data science across Aircall's go-to-market org, building the AI systems that dynamically allocated +20M$ in annual marketing spend on Paid Ads\n\nML Engineer from EPFL where I led a 40ppl consulting org to best Junior Entreprise in Europe, growing revenue 50% to €350K across 100+ clients.", "is_active": true, "linkedin_url": "https://linkedin.com/in/michaelhodara", "x_url": "https://x.com/maradoh22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03c9a997f205c702097d4e943411e64f1f6b9868.jpg" }, { "user_id": 1985040, "full_name": "Jonathan Hassan", "title": "Founder/CRO", "founder_bio": "Cofounder and COO @Kuli, Creator Marketing OS.\n \nSix years at KPMG, where I became the firm's youngest-ever M&A manager and led multi-billion-dollar deals for clients like Nestlé. From the inside, I saw how badly the world's biggest brands struggle with social and creator marketing.\n\nI run sales and operations at Kuli, where we've signed clients like Disney and Nivea in our first few months.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jonathan-salvador-hassan/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d505fc0a3c1ab72a01d10fa69eb9972bc1d97335.jpg" } ], "jobs": [ { "id": 100373, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/kuli/jobs/3xm0u76-founding-engineer", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €90K EUR", "equity_range": "0.30% - 1.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "Python", "Evals", "AI Agents", "Multimodal AI", "LangChain" ] } ], "news": [], "launches": [ { "id": 100704, "title": "Kuli: The AI coworker for marketing teams at Consumer Brands", "tagline": "An AI agent that watches all videos on socials to help you plan and run campaigns faster.", "body": "**TL;DR:** Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video, knows your brand, plans and runs your campaigns. 5 months in, the largest Fortune 100 entertainment brand now ships 3x more campaigns on Kuli.\n\n\n\n# **❌** The problem\n\nBrand partnerships with creators are doubling in 2026. Teams are being asked to do more without additional headcount. More creators to find. More videos to watch. More emails and more reporting. Each of these steps is still manual.\n\nA marketer's week looks like this :\n\n* 8 hours scrolling TikTok to shortlist creators\n* Wednesday morning catch-up on trends and competitor monitoring\n* 100s of emails with creators\n* Friday spent preparing the reporting of last campaign\n\nThat's one campaign. Most teams run several of them per month. They pay six figures a year for influencer tools that don't analyze video and leave teams to do the manual work themselves.\n\nSo they end up paying an agency to do the same manual work.\n\n# ✅ What we built\n\n**Kuli is the AI coworker for influencer marketing teams at consumer brands. It watches every video on socials, knows the brand, runs campaigns end to end.**\n\nA marketer types :  “Find US microcreators (women, 30s) sharing parenthood struggles, with content around simplifying routines, aligned with an all-in-one skincare cream. Vet for brand fit, analyze past collab performance, and draft personalized outreach.”\n\nWhile the marketer is in a meeting, Kuli is scrolling through millions of videos to surface the right creators. Reads every comment. Decodes the patterns behind top-performing content. Starts negotiating rates and pings the marketer when it needs input.\n\n# 🧲 Early Traction\n\n5 months in, and the largest Fortune 100 entertainment brand, the leading mobile gaming studio and some of the biggest cosmetics brands cut their agency fee and ship 3x more campaigns without adding headcount.\n\n**Marketers orchestrate. Kuli operates.**\n\n# 🧩 Team\n\nTen years ago we started building side hustles together. We then saw this problem from different angles :\n\n**Michael Hodara** — built AI systems to run a $25M marketing budget at Aircall and Logitech based on voice and visual analysis. \n\n**Jonathan Hassan** — advised consumer brands at KPMG on billion-dollar deals. He saw them lose hundreds of millions because of the wrong creator choices.\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/af16cbec-acb9-4ea5-a8cc-b8b2452b5e01)\n\n# **📣 Our Ask**\n\nIf you **run social or influencer marketing at a brand**, we’re here to give you and your team your time back and help you outpace competition.\n\nBook a demo on [kuli.one](http://kuli.one) or write to us on [founders@kuli.one](https://mailto:founders@kuli.one) if you want to see what the most effective consumer brands are already doing.\n\nWe’re also **hiring a growth genius**. Your unfair advantage: Kuli.\\\nYou’ll see more content, spot patterns earlier, and move faster than anyone else. \\\n Send us a video at [founders@kuli.one](https://mailto:founders@kuli.one).\n\n![uploaded image](/media/?type=post&id=100704&key=user_uploads/1865906/0103f7b2-1aae-4ef1-a1e3-af7ab73dd26c)\n\n", "url": "https://www.ycombinator.com/launches/QCG-kuli-the-ai-coworker-for-marketing-teams-at-consumer-brands", "votes": 27, "created_at": "2026-05-04T04:30:10.147Z" } ] }, { "id": 31475, "name": "Ardent", "slug": "ardent", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.png", "website": "https://tryardent.com", "all_locations": "San Francisco, CA, USA", "long_description": "Clone any postgres DB regardless of size in 6s so agents can test their work", "one_liner": "Database sandboxes for Agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1775685642, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ardent", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ardent.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ardent-db", "x_url": "https://x.com/ArdentAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f4ef54cc2ae204ad4ac662f9bfacf6a3fa6faf47.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": 1239054, "full_name": "Vikram Chennai", "title": "Founder/CEO", "founder_bio": "Database sandboxes for Agents. Clone any Postgres DB regardless of size in 6s so agents can test their work\n\nFormerly ML Engineer, Cornell CS", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vikram-chennai/", "x_url": "https://x.com/vchennai2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e3dd79a34fc2739d09791645c7883ccf5c8f6ce.jpg" } ], "jobs": [ { "id": 102418, "title": "Founding Engineer - Product (Staff)", "url": "https://www.ycombinator.com/companies/ardent/jobs/4fjIRN4-founding-engineer-product-staff", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "1.00% - 3.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Go", "PostgreSQL" ] } ], "news": [], "launches": [ { "id": 100815, "title": "Ardent - Clone any postgres DB of any size in <6s", "tagline": "Ardent lets engineers give their coding agents 1:1 clones of prod to test code and prevent downtime", "body": "Hi! I’m Vikram founder of [@Ardent](https://bookface.ycombinator.com/company/31475). **We let you clone any postgres DB in <6s** so your coding agents and devs can test code on a 1:1 of production or dev DBs with zero risk\n\n![uploaded image](/media/?type=post&id=100815&key=user_uploads/1239054/b0ebde7f-0ac7-49a9-8f42-e4fb3f26d585)\n\nWe’re working with companies with huge amounts of data like Supermemory and YC companies like [@Surface Labs](https://bookface.ycombinator.com/company/28921)\n\n**This is me cloning a 1.6TB db is 6s:**\n\n\n\nWebsite: \n\n**How did we get here (the problem)?**\n\nArdent was a reaction to the failure of our last product - an AI Data Engineer. It was a coding agent that generated data pipelines, wrote migrations, backfills and other things you’d expect of a data engineer.\n\nWhile the code _looked_ great we had no way of testing generated code. Writing to prod was out of the question and dev environments were never in sync, shared amongst devs which caused write clashes between agents, and was a huge pain to manage. **_What we needed was a ephemeral DB sandbox per agent of the user’s DB._**\n\nBecause of how hard testing was, generated code would never be tested and was too unstable to put in production. Database failures almost always mean downtime, a risk both we and customers were obviously not willing to take. We churned almost 200K in ARR\n\nThis problem exists with any coding agent today. We’re shipping 100x more DB code to production and we mostly just hope to god it works the same as dev.\n\n**Ardent - Isolated <6s database clones that let you test agent code:**\n\nArdent solves the DB sandbox problem by letting you create 6s clones of ANY postgres DB regardless of size, allowing you to give every developer and every agent a full copy of production or dev to test against.\n\nClones autoscale to zero when not in use, use copy on write for massive storage efficiency and can be loaded with a single CLI command (zero infra management)\n\nYou can see the exact results of any code run against the DB in a perfect 1:1 reproduction and don’t have to change your DB provider.\n\nThe entire thing runs as a CLI that feels exactly like git. Cloning is as simple as “ardent branch create <name>”\n\nThis means you can spin up instant environments to test _every_ line of DB code with none of the overhead\n\n**Asks**\n\n**Use Ardent at your company to go faster by let agents work safely at the DB layer and prevent regressions:** \n\n**Introduce me to series A-C engineering leaders (Founders, CTOs, VP of Eng):** Many of the later stage startups we’ve talked to have the majority of their engineers shipping with claude, codex or cursor on migrations, backfills and pretty much any code that hits the DB. They will eventually crash their production DB unless they’re rigorously testing. I’d like to prevent those crashes :)\n\nContact me: [vikram@tryardent.com](mailto:vikram@tryardent.com)", "url": "https://www.ycombinator.com/launches/QE3-ardent-clone-any-postgres-db-of-any-size-in-6s", "votes": 16, "created_at": "2026-05-05T20:21:15.273Z" } ] }, { "id": 31477, "name": "BioStack Platforms", "slug": "biostack-platforms", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a993952405cff56ad7f559e6e6fcf8b0c2191ed2.png", "website": "https://www.getbiostack.com/", "all_locations": "San Francisco, CA, USA", "long_description": "BioStack is building the data engine for healthcare and drug discovery AI. The bottleneck is not models. It is access to high-quality biological data. Clinical and experimental data is fragmented, unstructured, and locked inside hospitals, labs, and CROs, while generating new data is slow and expensive. BioStack fixes this with proprietary clinical and preclinical data pipelines that turn real biomedical workflows into ML-ready training environments.\r\n\r\nWe structure longitudinal multimodal data across imaging, EHR, and experimental assays, then package it for post-training and reinforcement learning so models can learn how research and care actually happen. Instead of static datasets, BioStack gives AI labs workflow-aligned data and environments that improve reasoning, decision-making, and real-world performance in biology and medicine.", "one_liner": "Real world training envs for healthcare AI models", "team_size": 10, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1774518776, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/biostack-platforms", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/biostack-platforms.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/a993952405cff56ad7f559e6e6fcf8b0c2191ed2.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": 2459174, "full_name": "Sanat Mishra", "title": "Founder/CEO", "founder_bio": "I'm the co-founder and CEO of BioStack Platforms. In another life, I was a cancer genomics researcher at Stanford, Yale, Carnegie Mellon, and the Max-Planck Institute. I also worked as an early researcher with top AI labs on RL tasks and benchmarks across healthcare and biotech.\nHailing from Mumbai, I attended IISER Mohali and Carnegie Mellon for my BS and MS degrees respectively. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanat-m-4b5077a4/", "x_url": "https://x.com/sanatmishra7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8460f3628c65c3e56f5eaa6d4518170da9462a.jpg" }, { "user_id": 3418030, "full_name": "Parth Patwa", "title": "Founder/CTO", "founder_bio": "I am the Co-founder and CTO at BioStack Platforms. Prior to this, I was a Gen AI scientist at AWS. Before that, I was a researcher at MIT. I have published 40+ papers with 1800+ citations across top venues like CVPR, neurIPS, EMNLP etc. in ML, GenAI, NLP. \nI completed my MS from UCLA. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parth-patwa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50c35bb41202807accee702dcfef19b86677dcf7.jpg" } ], "jobs": [ { "id": 92561, "title": "Clinical Data Lead", "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/HIfysXu-clinical-data-lead", "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": "Will sponsor", "skills": [ "Machine Learning", "Reinforcement learning (RL)", "Data Modeling", "Data Analytics", "Biotechnology", "Pharmacology" ] }, { "id": 94045, "title": "Founding Research Engineer, RL/Reasoning", "url": "https://www.ycombinator.com/companies/biostack-platforms/jobs/M8GyMNX-founding-research-engineer-rl-reasoning", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$200K - $350K", "equity_range": "0.10% - 1.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Reinforcement learning (RL)", "Evals", "AI Agents", "MLOps" ] } ], "news": [], "launches": [ { "id": 101855, "title": "BioStack Platforms: Realistic healthcare simulation environments", "tagline": "We give AI labs the full post-training loop for healthcare", "body": "**Tl;Dr;**\n\nWe build realistic healthcare simulation environments where AI labs can train and improve their models before deploying them in the real world. Our environments use real-world clinical data to help models practice solving the hardest medical problems.\n\n![uploaded image](/media/?type=post&id=101855&key=user_uploads/2459174/a27d387c-2ddd-4a28-98b6-c8a96da0503a)\n\n**The problem**\n\nHealthcare AI is learning from a cleaned-up version of medicine that barely exists. Real patients are messy. Their records are incomplete. Their labs are late. Their notes conflict. Their outcomes unfold over months, not in one prompt.\n\nDoctors do not just answer questions. They make decisions with imperfect information, watch what happens, and adjust. That is the loop AI needs to perfect.\n\nToday, AI labs have medical data. What they do not have are real clinical environments where models can practice, fail, get feedback, and improve.\n\n**What BioStack does**\n\n* **We turn real patient records into training environments.** Not clean textbook cases. Real longitudinal data: notes, labs, imaging, meds, vitals, diagnoses, follow-ups, and outcomes stitched into cases models will actually have to work through.\n* **We build the tasks models train on.** Diagnose this. Order the next test. Adjust the medication. Flag the risk. Predict what happens next. The model makes a clinical move, then gets scored against outcomes, chain-of-thought reasoning, guidelines, and clinician review.\n* **We give AI labs the full post-training loop for healthcare.** Data, evals, reward functions, benchmarks, and simulation environments, so models can practice real clinical work instead of just memorising medical exams.\n\n[https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view](https://drive.google.com/file/d/1NvcLS2usN_bl4GE_tW7QVN5Ia-MGl8M6/view?usp=sharing)\n\n**Backstory**\n\nWe started the company in Oct 2025 and burned through two pivots before we found the thing that pulled us in.\n\nFirst, we tried building multi-agent systems for biology research. It sounded right on paper. In practice, biology workflows are messy, fragile, and full of assumptions that have to be tuned by hand. One wrong parameter compounds downstream and suddenly nobody trusts the output. Scientists also were not ready to hand over real work to agents that still felt too brittle. We killed it after two months.\n\nThen we tried going deeper: generate preclinical drug discovery data ourselves, at scale, through our own lab facility. Again, it sounded ambitious. Again, it broke on contact with reality. It was capex-heavy, slow, operationally painful, and not truly venture-scalable. Worse, our edge was basically cheaper offshore execution. That is not a moat. That is a race to the bottom. We killed that too.\n\nThe third idea found us.\n\nThe best companies are born in the customer’s office. For us, it happened on a sales call.\n\nWe were pitching drug discovery data to one of the largest human data companies in the world. Halfway through, the conversation shifted. They did not want another generic data vendor. They asked if we could deliver high-quality clinical data for a six-figure contract.\n\n**That call changed the company.**\n\nWe realised the real bottleneck was not just raw data. AI labs need the full post-training stack for healthcare: clinical data, simulation environments, evals, reward functions, and verifiable tasks that make models better at real medical work.\n\nSo we followed the pull.\n\nToday, BioStack is building simulation environments for healthcare AI. We have expanded from one customer conversation into 17 customers and prospects, including top AI labs, and we are seeing demand across data, evals, and RL environments.\n\nWe did not arrive here through a brainstorm but got dragged here by the market.\n\n**Asks**\n\n* **Do you know** **anyone** **working on a AI models or agents** advancing current capabilities through multimodal applications, nuanced reasoning, or domain-specific expertise?\n* **Do you know of companies that require raw medical data?** We supply longitudinal high quality scans, EHR, and notes and we’re happy to send over samples.\n* **Have referrals for RL engineers / researchers?** We’re always looking to hire RL engineers who specialise in fine-tuning methods such as SFT, PEFT, and RL.\n* **Spread the word** - send us ideas for data types that you think are valuable and spread the word!\n\n**Feel free to reach out** at: [sanat@getbiostack.com](mailto:sanat@getbiostack.com) / [parth@getbiostack.com](mailto:parth@getbiostack.com)", "url": "https://www.ycombinator.com/launches/QUp-biostack-platforms-realistic-healthcare-simulation-environments", "votes": 9, "created_at": "2026-05-25T15:06:11.941Z" } ] }, { "id": 31478, "name": "Silmaril", "slug": "silmaril", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/86b9dc2025d8d9aaca7a7d152afe3f067bb14268.png", "website": "https://silmaril.dev", "all_locations": "San Francisco, CA, USA", "long_description": "Silmaril is the first security for agents that self-improves. It understands application context to block 2x as many threats as current SOTA defenses with 10x lower latency. Customers plug us into agentic frameworks like LangGraph with 5 lines of code. Silmaril has stopped $28M of damages for customers.", "one_liner": "Security for agents that self-improves", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1775745444, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/silmaril", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/silmaril.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/silmarilsecurity", "x_url": "https://x.com/Silmarildev", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/86b9dc2025d8d9aaca7a7d152afe3f067bb14268.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": 2524062, "full_name": "Aum Upadhyay", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at Silmaril. I built the security and privacy framework at AWS that prevented over $1.8B in damages. Now I bring that same defensive mindset to Silmaril, working with customers to ship prompt injection defense. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aum-upadhyay-517016269/", "x_url": "https://x.com/aumup001", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5dcb642b56fa4abb08530e4e06f1b67529fb7300.jpg" }, { "user_id": 543366, "full_name": "Eduardo Velasco", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO at Silmaril. I prove the risks are real by finding exploits myself. I chained a prompt injection into root access inside ChatGPT. Ex-Amazon tech lead specializing in low latency ML models that generated $400M in annual revenue.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eduardo-velasco-b10ba826b/", "x_url": "https://x.com/EduardoVel36291", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15bf26fd6a23e8d13b2f5e9ebdec669919456c27.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99681, "title": "Silmaril: Self-healing Prompt Injection Defense", "tagline": "Block 2x more attacks with 10x lower latency.", "body": "**TL;DR**\n\nSilmaril is the first self-healing prompt injection defense for AI native applications and agents. It understands application context to **block 2x as many threats** as current SOTA defenses with **10x lower latency**. Customers plug us into frameworks like LangChain with **5 lines of code**.\n\nWe’re working with the top productivity, analytics, and legal companies in the world and would love to protect you as well!\n\nOur Launch Video: \n\n**Ask**: If your AI systems ingest external data or you’re concerned about prompt injection, set up a[ 15 minute chat](https://cal.com/silmaril/15min). If you know security or AI leaders (Director+) who could benefit from stopping prompt injections please reach out at [aum@silmaril.dev](mailto:aum@silmaril.dev).\n\n**Problem**\n\nAttackers are using AI to create and experiment with more sophisticated techniques at scale, making them **4.5x more likely to succeed**. The AI security tools enterprises rely on today were not built for this.\n\nExisting guardrails treat malicious inputs as the unit of security. They pattern-match against known bad prompts and require constant manual policy tuning. Against real-world contextual and emerging threats, leading guardrails **blocked only 61% of attacks**. That's barely better a coin toss.\n\nThis leaves security teams stuck in an **endless loop**: triaging alerts, tuning policies, and chasing attackers who move faster than they can respond.\n\n**How it works**\n\nMost AI security tools ask \"does this input look malicious?\" We ask \"does this execution lead to a harmful outcome?\" That distinction is what makes Silmaril work against attacks that guardrails completely miss.\n\nThe system has three layers:\n\n**1. Agents hunt for attacks and generate threat intelligence.** We reverse-engineer your application and deploy autonomous agents that continuously probe it. These agents find and verify attack chains that combine individual vulnerabilities for a larger impact such as data exfiltration and privilege escalation. They surface novel threats tied to your application logic, far more useful in simulating AI enabled attackers than historical prompt injection lists.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/1eabf307-2ebb-4b76-883c-ba1f8e0c2fd2)\n\n**2. A classifier model that blocks attackers in real time.** The firewall integrates directly with your orchestration framework via our SDK, letting you control exactly when it runs. In LangGraph, for example, you can add it as a callback handler that fires before/after tool calls and model inference. Because Silmaril reasons over application snapshots rather than input patterns, it catches emerging, contextual, and multi-turn attacks that single-input classifiers miss entirely. Latency overhead is 20ms.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/b631db01-cdd7-4727-a01c-3471c385244f)\n\n**3. A self-healing retraining loop.** Verified exploits from threat hunting and production traffic feeds back into the model continuously. The firewall retrains and deploys updated weights automatically within an hour. No manual policy tuning required.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/60e34848-7ebc-4733-b231-4da711b0bfd9)\n\nAgainst a dataset of real-world contextual and emerging threats, **Silmaril blocked 96% of attacks**. Leading guardrails blocked 61%.\n\n![uploaded image](/media/?type=post&id=99681&key=user_uploads/2524062/b538fcdf-509e-4345-9eb4-399728ea5abe)\n\n**Why us**\n\nEduardo and I spent 10+ years building security and AI. I built security frameworks protecting AWS’s AI infrastructure. Eduardo developed hardened models and agents for Amazon's homepage. We drove **$2.2B in savings and new revenue**.\n\nAfter leaving, we became whitehat hackers and hacked OpenAI, Anthropic, Google, and Microsoft **15 times in two weeks**. We saw firsthand how far ahead attackers already are. That's why we built Silmaril.", "url": "https://www.ycombinator.com/launches/Pvl-silmaril-self-healing-prompt-injection-defense", "votes": 21, "created_at": "2026-04-13T18:16:18.490Z" } ] }, { "id": 31480, "name": "Pops", "slug": "pops", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff1807225bc4aea4a50ef4d5315e963925c04afd.png", "website": "https://pops.fyi", "all_locations": "New York City, NY, USA", "long_description": "Pops lets people play, remix, and share AI games with friends.\r\n\r\nDiscover an infinite feed of games, challenges, quizzes, and other fun interactive experiences made by others. Every play instantly becomes a funny gameplay/reaction video you can send to friends, post online, or use to challenge someone to beat your score.\r\n\r\nFor creators, Pops makes it easier than ever to bring ideas to life and get them played. Instead of learning complex game engines, writing code, or fighting for distribution, anyone can create or remix a playable game in seconds. Bring your ideas, and Pops brings the audience.", "one_liner": "Create & play AI games with friends", "team_size": 1, "industry": "Consumer", "subindustry": "Consumer -> Gaming", "launched_at": 1778022680, "tags": [ "Consumer", "Gaming", "Social", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer", "Gaming" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pops", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/pops.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trypops", "x_url": "https://x.com/pops_fyi", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff1807225bc4aea4a50ef4d5315e963925c04afd.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": 964621, "full_name": "Alon Zuman", "title": "Founder/CEO", "founder_bio": "I’m the founder of Pops, a mobile app where people create, remix, and play AI games with friends.\n\nOver the past 6 years, I’ve built creative tools used by millions of people. Most recently, I worked at Playground AI across product engineering and research.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alonzuman/", "x_url": "https://x.com/alonzuman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1bd2e2e5fe7823755f547ece0629f0515774171.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101541, "title": "Pops - AI games with real friends", "tagline": "Turn any idea into a fun mini game to remix, share, and play with friends.", "body": "Hi everyone, I’m [Alon](https://x.com/alonzuman), founder of [Pops.](https://pops.fyi/)\n\nPops is the future of entertainment: AI-native, playful social experiences and games anyone can create, remix, and play with their friends. **Short-form software.**\n\n![uploaded image](/media/?type=post&id=101541&key=user_uploads/964621/77b75800-d1a4-4c0d-a32b-d2662e68f1fd)\n\nWith Pops, you can describe (almost) any idea you have and turn it into a fun, playable experience: a Flappy Bird-like game where you flap by raising your arms, a game where you blink to screw the bolt, or a 3D racing game controlled by your head movements. You don't need to code, just a fun idea.\n\n![uploaded image](/media/?type=post&id=101541&key=user_uploads/964621/2a9308df-5961-4bd1-9571-b1518bf8020d)\n\nAnd because Pops is meant to be social, every Pop you play instantly creates a video you can share. Usually the best part is not just the game itself, but the funny reaction video: you can brag about your score, send it back to the creator, or share it because it’s genuinely funny.\n\n![uploaded image](/media/?type=post&id=101541&key=user_uploads/964621/2fda7e52-ea0d-46a7-846b-dec64807ee4b)\n\n## **About me**\n\nI’ve spent the past six years building creative tools, most recently at Playground AI, where the products I worked on were used by millions of people. Pops started as something broader, but a private beta made the direction obvious: AI-native games are the perfect format for social, playful creation, and one of the first places short-form software can become mainstream.\n\nPops is live on iOS and Android, and I’d love for you to try it out:\n\n\n\n## Ask\n\nPlay a few Pops! Make or remix your own Pop, and share it with your friends.\n\nI’d love feedback on what feels magical and what’s confusing.\n\n![uploaded image](/media/?type=post&id=101541&key=user_uploads/964621/c741fdc4-f5f7-4fc1-a97e-eb320607be45)\n\n![uploaded image](/media/?type=post&id=101541&key=user_uploads/964621/ee6a0791-5f65-4349-bb05-c35ea160f33e)\n\n", "url": "https://www.ycombinator.com/launches/QPl-pops-ai-games-with-real-friends", "votes": 14, "created_at": "2026-05-19T01:41:15.424Z" } ] }, { "id": 31481, "name": "Saudara AI", "slug": "saudara-ai", "former_names": [ "Saudara AI Inc.", "Saudara AI", "Saudara" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c4216679eb008bbc4571315894d674d507a751f.png", "website": "https://saudara.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Saudara AI is an AI sourcing broker connecting American brands with vetted overseas factories.\r\n\r\nUS brands import $3T in goods a year and lose billions to ghost suppliers, hidden fees, and blown deadlines. The factories that actually deliver sit behind decades-old relationships outsiders can't break into. We were born into them.\r\n\r\nEvery deal runs through a real human broker, supercharged by AI that handles sourcing, quoting, QC, logistics and vendor financing. 10x faster, at a fraction of the cost.\r\n\r\nSourcing is the largest broken market in global trade. We're the on-ramp.", "one_liner": "AI Native Sourcing Broker For Overseas Manufacturing", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774887463, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/saudara-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/saudara-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109590962", "x_url": "https://x.com/saudaraAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1c4216679eb008bbc4571315894d674d507a751f.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": 2623220, "full_name": "Edward Haryono", "title": "Founder/CEO", "founder_bio": "I'm CEO of Saudara AI, an AI sourcing broker connecting US brands with international manufacturers. In 5 months, we've sourced $1M+ for 40+ brands. Sourcing is won by whoever has trust on both sides of the trade lane, and almost nobody does. I grew up in Indonesia in a family with 50 years in retail and logistics, giving Saudara supplier access competitors can't replicate. I spent 5 years at Amazon in procurement, working with buyers who are Saudara's customers today. Master's from Duke.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edward-haryono-tanuwijaya/", "x_url": "https://x.com/edwardharyono_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4837757cde4b291959b24d1992386363b5d7840.jpg" }, { "user_id": 2970229, "full_name": "Jennifer Prasetyo", "title": "Founder/CTO", "founder_bio": "I'm CTO of Saudara AI, an AI sourcing broker connecting US brands with international manufacturers. In 5 months, we've sourced $1M+ products for 40+ brands. A former engineer at Microsoft Quantum and Meta Reality Labs, I'm the rare technical founder born into the problem. My family has 50+ years in Indonesian textile manufacturing, giving Saudara supplier access competitors cannot replicate, and my channel @jenandtech (100K+ followers) drives compounding inbound.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jenniferprasetyo", "x_url": "https://x.com/jenandtech_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b381d3823d82ad1c8577a09388f08b90d2ee087d.jpg" } ], "jobs": [], "news": [ { "title": "The Rise Of Hybrid AI Platforms In Global Fashion Sourcing", "url": "https://www.forbes.com/sites/tanyaakim/2026/06/09/the-rise-of-hybrid-ai-platforms-in-global-fashion-sourcing/", "date": "Jun 09, 2026" } ], "launches": [ { "id": 100462, "title": "Saudara AI — Connecting Brands With Trusted Factories", "tagline": "AI broker connecting American brands with the world's best factories.", "body": "# **Hey 👋** We're Edward and Jennifer, founders of **Saudara AI**.\n\n**TL;DR:** We're an AI broker connecting American brands with the world’s best international factories. Saudara is built by a third-generation manufacturer and an Amazon supply chain veteran, two people who've spent their careers on both sides of this problem. \n\nWe don’t just sell software, we sell outcomes and services. Real humans do the work, supercharged by AI, at 10x the speed and a fraction of the cost of traditional sourcing agents.\n\nInternational sourcing is hard. We make it easy.\n\n\n\n**❌ The Problem**\n\nSourcing overseas should be straightforward. It never is. Five traps catch almost every foreign buyer, and most never see it coming.\n\n* **Trust** — Suppliers overpromise, cut corners on mass production, and go quiet after the deposit clears.\n* **Price** — Unbeatable quotes hide lower grade materials, hidden fees, and cost hikes once you're locked in.\n* **Timing** — Missed deadlines kill holiday season sales, trigger chargebacks, and derail launches.\n* **Payment terms** — New buyers pay 100% upfront. Established buyers get net-60. The playing field has never been level.\n* **Scalability** — A supplier that works at 500 units may fall apart at 50,000.\n\n**✅ Our Solution**\n\nSaudara means \"family\" in Indonesian. Jennifer's family has spent 50+ years building relationships across Asian manufacturing. We don't blindly search for suppliers. We have their personal numbers.\n\nWe're a broker, not a marketplace. You tell us what you need, we deliver it. Our relationships get us into factories that don't take cold inquiries. Our AI handles the rest, vetting, benchmarking, negotiation support, QC tracking, and logistics, end-to-end.\n\n* **Trust, protected** — Our AI flags supplier inconsistencies and tells you when something looks too good to be true.\n* **Price transparency** — Every quote benchmarked against real market data. You always know what's fair.\n* **Specs, timelines, and QC** — Spec sheets locked before approval, milestones tracked proactively, quality checked from raw materials to shipment.\n* **Better payment terms** — We negotiate 30/70 and net-60 on your behalf. The terms established buyers take for granted, available from day one.\n* **Suppliers that can scale** — Matched to your volume today and where you're going tomorrow.\n\n**🌿 Starting With Indonesia?**\n\nWe're starting with Indonesia because it's where we're from, and because most of it is still inaccessible to Western buyers without the right relationships. We have them.\n\nPalm oil, vanilla, nickel, rattan, patchouli, charcoal briquettes, handcrafted furniture from Jepara, and one of Southeast Asia's strongest apparel manufacturing bases. Resource-rich, largely untapped, and relationship-gated.\n\n**👫 The Team**\n\n**Edward** **Haryono** — Grew up around Indonesian logistics. Amazon supply chain background. President of IABA-PNW (Non profit promoting Indonesia and Pacific Northwest Economic Relations)\n\n**Jennifer Prasetyo** — Third-generation Indonesian manufacturer. Nationally trusted sourcing expert behind [@jenandtech](https://www.instagram.com/jenandtech/) (95K+ followers across all socials).\n\n![uploaded image](/media/?type=post&id=100462&key=user_uploads/2623220/a382ed9a-3817-412d-83cc-92cdf7b763a2)\n\n**Source Smarter**\n\nStop gambling on suppliers. If you or someone you know is sourcing products internationally, send them our way. Start with [Saudara.](https://saudara.ai)\n\nOr, book a call [here](https://calendly.com/saudara/start-sourcing)", "url": "https://www.ycombinator.com/launches/Q8M-saudara-ai-connecting-brands-with-trusted-factories", "votes": 512, "created_at": "2026-04-29T01:12:49.358Z" } ] }, { "id": 31482, "name": "Memory Store", "slug": "memory-store", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520a45661b113f68072bffbdfe2eeb3b94215d.png", "website": "https://memory.store", "all_locations": "San Francisco, CA, USA", "long_description": "One memory for your team's agents. \r\n\r\nTurn every meeting, Claude session, and Slack chat into context your team and agents share.", "one_liner": "Company Brain.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777184787, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/memory-store", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/memory-store.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/memorystore/", "x_url": "https://x.com/memorydotstore", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/81520a45661b113f68072bffbdfe2eeb3b94215d.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": 29324, "full_name": "Diwank Tomer", "title": "Founder/CEO", "founder_bio": "Thiel Fellow. Columbia University. AI startups since 2013.\n60M weekly NPM downloads.\nAuthor: CryptGPT - Pre-trained Privacy Preserving LLMs.", "is_active": true, "linkedin_url": "https://linkedin.com/in/diwank-tomer", "x_url": "https://x.com/diwanksingh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2b64f6efb7fdbf427b9fcbb9d2519832336a826d.jpg" }, { "user_id": 720197, "full_name": "Ishita Jindal", "title": "Founder/CPO", "founder_bio": "Building a memory layer for all your AI agents with Memory Store.\n\nSpent a few years building an open source agent workflow orchestrator (Julep AI) and scaled that to 7K GitHub stars. Have experience scaling a couple of the biggest consumer products in India and was a data scientist at IBM prior to that.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ishitajindal/", "x_url": "https://x.com/IshitaJindal17", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d3ba0c62d380107f6c982b530d9baf6fc5c2583f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101548, "title": "Memory Store - Your company's brain", "tagline": "Shared memory for your company, people AND agents.", "body": "**tl;dr:** We collect insights from your team’s Slack, Gmail, and Granola, and turn them into a living memory accessible to every team member and agent. **Book a call [here](https://cal.com/team/memory).**\\\n\\\n**The Problem**\n\nWhen AI makes your team 100x faster, it also creates 100x more things to keep track of. Decisions lost in Slack channels, insights buried in some Granola transcript, Claude chats, Codex sessions, and people's heads.\n\n_Memory_ is the bottleneck now, because your teammates and agents both need the right context to move fast. This is why we built [Memory Store](https://memory.store/).\\\n\\\n\n\nBook a call [here](https://cal.com/team/memory).\n\n**How we solve it**\n\nWe collect insights from Slack, Gmail, Granola, and more; and synthesize them into a company brain and keep it up-to-date. Any agent that supports MCP can connect and access it (including ChatGPT Agents, Claude Cowork, Codex, OpenClaw, and [100s more](https://modelcontextprotocol.io/clients)) .\\\n\\\nWe took this one step further with live “**Briefs**” — _living docs that update themselves_ whenever new memories are created! For example, we use them ourselves to track:\n\n* Decision Logs\n* Team Status Updates\n* Customer Asks\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/834232da-42b3-4b2a-b375-e4d94f67ed3e)\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/6eadb673-751e-4f68-87fe-669603b0e04c)\n\nBook a call [here](https://cal.com/team/memory).\n\n**About us**\n\nWe’re [Diwank](https://x.com/diwanksingh) and [Ishita](https://www.linkedin.com/in/ishitajindal/). Diwank is a Thiel Fellow who's been building AI products since 2012 - his previous company powers phone ordering for Domino's, Wingstop, and Buffalo Wild Wings. Ishita ran products that served millions of users at Jar and Lenskart.\n\nWe have years of experience building agents for enterprises. We also built Julep, an open-source agent orchestrator with 7K+ GitHub stars, where we kept seeing the same bottleneck across every agent: memory. So we built Memory Store! 🙂\n\n![uploaded image](/media/?type=post&id=101548&key=user_uploads/720197/c83e2c32-2de5-4d6c-8b0e-4067bf6d9c66)\n\nWe’d love to hear from you! ❤️ \\\n**Book a call [here](https://cal.com/team/memory).**", "url": "https://www.ycombinator.com/launches/QPs-memory-store-your-company-s-brain", "votes": 305, "created_at": "2026-05-19T14:27:28.169Z" } ] }, { "id": 31484, "name": "AbInitio Bio", "slug": "abinitio-bio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7b4f70c5d14e24fb5773ec42e56d354595bd134.png", "website": "https://www.abinitio-bio.com", "all_locations": "Boston, MA, USA", "long_description": "Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program. ", "one_liner": "The Intelligence layer for Drug Manufacturing", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Drug Discovery and Delivery", "launched_at": 1778703313, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Drug Discovery and Delivery" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/abinitio-bio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/abinitio-bio.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/abinitio-bio/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a7b4f70c5d14e24fb5773ec42e56d354595bd134.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": 3323269, "full_name": "Daniel Mukasa", "title": "Founder/CEO", "founder_bio": "Founder & CEO at AbInitio Bio (YC P26). Postdoctoral Fellow at MIT focused on AI and drug discovery. Previously AI/ML intern at Merck working on antibody therapeutic design. PhD in Applied Physics and Materials Science from Caltech.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-mukasa-2a8927120/", "x_url": "https://x.com/DanielMukasa1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/97cb9523df465c7fd42886512eaf77dd6c280f80.jpg" }, { "user_id": 3776060, "full_name": "Nisha Gopal", "title": "Founder", "founder_bio": "Founder CSO at Abinitio Bio (YC P26). Biochemist with 14 years of experience, Stanford PhD, former research scientist at the The Broad Institute of Harvard and MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gopalnisha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0efc53b1dc5276797580b4e04d7fdbc1c6022a5.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101683, "title": "AbInitio Bio - Frontier foundation models for biomanufacturing", "tagline": "Foundation models for Biomanufacturing ", "body": "**TL;DR:** Biomanufacturing is bottlenecked by experiments that take years and don't transfer across products. We're building foundation models for biological manufacturing, validated against wet lab data, so decisions that take 6-18 months today can be made in hours, saving $100M+ per program.\n\n![uploaded image](/media/?type=post&id=101683&key=user_uploads/3323269/c03e8ad1-e7f1-4b0c-8417-b22137f847af)\n\n**The problem**\n\nBiologics development is one of the slowest, lowest-yield engineering disciplines in the modern economy. A single CHO cell line campaign costs $5-10M and 12-18 months. Multispecific antibody programs routinely fail at CMC. Every month of delay on a blockbuster costs pharma $100M+ in lost revenue.\n\nEvery product team rebuilds the same process knowledge from scratch because:\n\n* nothing transfers across products, scales, or sites\n* the data that exists sits trapped in PDFs, batch records, and proprietary silos\n* existing tools optimize one product at a time and need expert tuning\n* AI-for-bio has focused on drug discovery and overlooked the value in manufacturing\n\nPharma spends over $100B annually on biologics development and manufacturing, and ships processes with yields and timelines that haven't fundamentally shifted in a decade.\n\n**What we built**\n\n**The first foundation models for biomanufacturing**, designed to close the data gap incumbents can't.\n\nOur first model, Echo, predicts manufacturing outcomes more accurately than standard hybrid models, and any pharma or CDMO can adapt it to their workflow instantly. We're extending the same architecture to cell line engineering, multispecific developability and CMC risk, and upstream aggregation (HMW%) prediction.\n\nThe complex biologics wave is the immediate wedge: 600+ molecules in active clinical trials, \\~15 approved, and a CMC-heavy profile that punishes one-product-at-a-time tooling. Foundation models that transfer across products are the only way to keep up.\n\n**Our story**\n\nI'm Daniel Mukasa, founder and CEO. I’ve spent much of my career at Caltech, Merck, MIT, and the Broad doing drug discovery, just to watch our carefully optimized drugs get killed by manufacturing problems. I’m building the tools we need to fix that across the full biomanufacturing stack.\n\n**Our ask**\n\n**Pharma, biotech, and CDMO intros**. Specifically, cell line development, process development, and CMC leads working on biologics, multispecific, cell and gene therapies, and AAV delivery systems. Also open to BD conversations with platform companies sitting on proprietary process data. \n\nreach us at founders@abinitio-bio.com", "url": "https://www.ycombinator.com/launches/QS3-abinitio-bio-frontier-foundation-models-for-biomanufacturing", "votes": 19, "created_at": "2026-05-22T18:47:27.191Z" } ] }, { "id": 31485, "name": "ANORIA", "slug": "anoria", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/da4a14a3baf739d13d28c4b5fd536756215a6801.png", "website": "https://www.anoria.com", "all_locations": "San Francisco, CA, USA", "long_description": "We've spent decades tracking everything. Sleep. Recovery. Steps. All proxies for how we feel. Performance is 90% mental. And yet no one has built the feedback loop for our emotions. We close that loop by designing a device that understands how you feel, tells you why, and what you can do about it. Emotional intelligence becomes trainable, so you can better connect and create with those around you.", "one_liner": "The first wearable that reads your emotions to enhance your EQ. ", "team_size": 5, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1777953945, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/anoria", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/anoria.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/anoriainc/", "x_url": "https://x.com/anoria_inc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/da4a14a3baf739d13d28c4b5fd536756215a6801.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": 2771215, "full_name": "Michael Belhassen", "title": "Founder/CEO", "founder_bio": "Ex-Apple Hardware Product Designer. Recently led the design of the iPhone 17 Pro Enclosure. \nFor the last decade I've been obsessed with one question: can human emotion be scientifically understood and measured?\n\nNow building the world's first wearable that reads your emotions to enhance your EQ.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-belhassen/", "x_url": "https://x.com/michaelblhssn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b1fb5ee68f67cb90ece0e481549a05ec99d7f66.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100755, "title": "ANORIA - Whoop for Emotions", "tagline": "The first wearable that reads your emotions to enhance your EQ. ", "body": "**Early Access Sign Up** - [**www.anoria.com**](http://www.anoria.com)\n\n\n\nTechnology has taken all of our attention, and AI has commoditized intelligence. Understanding how we feel and why has never been harder or more valuable.\n\nWe've become obsessed with tracking everything: sleep, recovery, performance. All proxies for how we feel.\n\nPerformance is 90% mental. And yet, no one has built the feedback loop for our emotions.\n\n**What we’re building**\n\nAnoria is a bracelet that reads your emotional state in real time. We call this your Flow Score, built from your Energy, Mood, and Focus.\n\nIt's powered by SOMI, our state-of-mind inference model, which uses a deep neuroscience framework to correlate 150 audio and biometric signals to surface what you're feeling, why, and what to do about it _(listen to a track by Eminem, call your friend Alex…)_.\n\nWith a tight enough feedback loop, emotional intelligence becomes trainable, and your flow state repeatable.\n\n**Who is it for?**\n\nWe’re building this for founders and creatives. People who understand that their state of mind is their most important asset.\n\n**Development Status**\n\nTwo months in, a handful of users are wearing our first prototypes in the wild. They see their Flow Score in real time, and watch it shift with the people they talk to, the apps they use, the meetings they have, and the music they listen to.\n\n**About us**\n\nI spent five years designing iPhones at Apple, most recently leading the iPhone 17 Pro enclosure. I learned what it means to be obsessive about every detail and still ship 100 million devices a year.\n\nFor a decade, I've been obsessed with one question: can human emotion be scientifically understood and quantified?\n\nI built Anoria as a solo founder. Today, an incredible five-person team of ex-Apple and ex-Meta engineers and repeat founders is building it with me. We're going all in on technology that makes self-awareness tangible, and helps us reconnect.", "url": "https://www.ycombinator.com/launches/QD5-anoria-whoop-for-emotions", "votes": 14, "created_at": "2026-05-05T16:52:54.291Z" } ] }, { "id": 31486, "name": "Ornadyne", "slug": "ornadyne", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1b22be817e9ad2d1f4b3a606e7b94d10bc6a8d6.png", "website": "https://ornadyne.com/", "all_locations": "Los Angeles, CA, USA", "long_description": "Ornadyne builds flapping-wing drones for reconnaissance that look, fly, and sound like birds.\r\n\r\nToday’s drones are easy to detect acoustically, visually, and electronically. As counter-UAS systems improve, traditional quadcopters and fixed-wing UAS systems are becoming increasingly ineffective for close-range surveillance. \r\n\r\nFlapping-wing aircraft have existed for years, but have lacked the performance, endurance, and control required for real-world deployment. We’re changing that by engineering a high-performance, stealth-optimized system built from first principles for efficiency, autonomy, and reliable field use.\r\n\r\nThe final frontier of surveillance won’t look like machines; it will look like wildlife already in the sky. \r\n\r\nMaybe birds aren't real?", "one_liner": "We're building robot birds for surveillance.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Drones", "launched_at": 1777342640, "tags": [ "Hard Tech", "Robotics", "Drones", "Aerospace", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Drones" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ornadyne", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ornadyne.json", "year_founded": 2026, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ornadyne/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a1b22be817e9ad2d1f4b3a606e7b94d10bc6a8d6.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": 1504179, "full_name": "Geourg Kivijian", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Ornadyne. Award-winning engineer (IEEE/AIAA) recognized for pioneering work in flapping-wing robotics. Previously led coordination systems for Mars Sample Return at NASA's Jet Propulsion Laboratory and lunar rovers at Astrolab. Now scaling Ornadyne to bring bio-inspired stealth and efficiency to the next generation of flight. www.geourgkivijian.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/geourg-kivijian/", "x_url": "https://x.com/geourgkivijian", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e337453d3b319353220202f1fe100ab8ce774327.jpg" }, { "user_id": 3374971, "full_name": "Armen Arakelyan", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Ornadyne, building autonomous flapping-wing aircraft. Previously a Starship components engineer at SpaceX. Before that, I led machining at USC Rocket Propulsion Laboratory at the University of Southern California, helping the team set the amateur rocketry altitude world record at 144 km.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armen-arakelyan-171b71219/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2145da603ff13a23eff254476a2594ae5eed387b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100617, "title": "Ornadyne - Robot Birds for Reconnaissance", "tagline": "Autonomous bird-like drones for military reconnaissance.", "body": "**TL;DR:** Ornadyne is building robot birds for surveillance: drones with cameras for the military that look, fly, and sound like real birds**🦅**\n\n### The Problem(s):\n\nTraditional drones have two main problems:\n\n1. Propellers are **loud**\n2. They don’t blend in; they’re **visually obvious**\n\nThis makes traditional fixed-wing and quadcopter drones extremely detectable, and inadvertently easy to shoot down and run away from.\n\n\n\n---\n\nThis isn’t new. The U.S. used to lead flapping-wing flight, but **today, Europe and China are far ahead. Ornadyne is bringing the U.S. back into the lead.**\n\nWe're building autonomous ornithopters with hour-class flight times, low acoustic signatures, and natural bird-like flight. This makes Ornadyne's drones harder for humans and counter-UAS systems to detect, classify, and target.\n\n![uploaded image](/media/?type=post&id=100617&key=user_uploads/1504179/a361939c-74a4-427b-a2ef-a96f6cdc2884)\n\n---\n\n### The Founders:\n\n**Geourg’s** Master's thesis is built on 2+ years of research and development in flapping-wing drones. His work has received multiple awards through AIAA and IEEE conference publications. He is ex- NASA JPL, and ex-Astrolab, where he worked on Mars and lunar missions.\n\n**Armen** engineered Starship components at SpaceX and previously led machining at USC Rocket Propulsion Laboratory, helping the team set the amateur rocketry altitude world record at 144 km.\n\nBoth founders have been best friends since middle school.\n\n![uploaded image](/media/?type=post&id=100617&key=user_uploads/1504179/60143f25-5da7-45dd-93a0-0be77f9c5b45)\n\n### Ask:\n\nIf you work in defense tech or are building in the space, we’d love to connect. Introductions to anyone who might be interested in working with us would be much appreciated.", "url": "https://www.ycombinator.com/launches/QAr-ornadyne-robot-birds-for-reconnaissance", "votes": 30, "created_at": "2026-05-01T00:54:15.289Z" } ] }, { "id": 31487, "name": "AquaShield", "slug": "aquashield", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/19c992291d0ad061bcca099c36e54cb83327fe66.png", "website": "https://aquashieldai.com", "all_locations": "San Francisco, CA, USA", "long_description": "AquaShield protects large real estate portfolios against water damage (losses of up to hundreds of millions per year). ", "one_liner": "AI water leak detection for buildings", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1778992825, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Real Estate and Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aquashield", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aquashield.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aquashieldai", "x_url": "https://x.com/AquaShieldai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/19c992291d0ad061bcca099c36e54cb83327fe66.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": 3419684, "full_name": "Paul Beckers", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ AquaShield | Prev. Robotics Researcher @ MIT", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pbeckers1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4bccd4f88015339104045a89110309e11ea6bb09.jpg" }, { "user_id": 3173760, "full_name": "Marguerite Benoist", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ AquaShield | Prev Robotics Researcher @ Harvard", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marguerite-benoist", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/534231a1d14eed171be0a6ca2f4fb353263760ae.jpg" } ], "jobs": [ { "id": 106340, "title": "Founding Full-Stack Hardware Engineer", "url": "https://www.ycombinator.com/companies/aquashield/jobs/XUcIcbB-founding-full-stack-hardware-engineer", "location": "Zürich, ZH, CH / Zürich, Zurich, CH", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $160K", "equity_range": "1.00% - 5.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 101628, "title": "AquaShield - AI protection against water damage in buildings", "tagline": "Protect every building in your portfolio at a fraction of one major claim", "body": "**Y Combinator Launch**\n\nWe’re Marguerite and Paul, we left robotics research at MIT and Harvard to build AquaShield. AquaShield is a water damage prevention system built for large real estate portfolios.\n\nWe started building this solution on MIT campus, with the facilities team and are now working with one of the largest residential portfolios in the world. \n\n**The Problem** \n\nWater damage is the biggest preventable loss in real estate, more than fire and theft combined.\n\nReal estate portfolios lose up to hundreds of millions in water damage each year. They rely on reactive maintenance. Most water leaks are only discovered by tenant complaints, visual signs or water-bill spikes. \n\nPipes are hard to monitor because they are mostly inaccessible, buried in drywall and concrete.\n\n**The Solution**\n\nWe solve that problem with non-invasive sensors, strategically placed, and ML algorithms that can find the leak in noisy water consumption patterns and localize the source, down to the pipe segment. $100k+ remediation jobs turn into sub-$2k targeted fixes.\n\n**The result:** ​​portfolio-wide protection. Each building is protected for a fraction of the cost of a single major claim.\n\n**Our Ask**\n\nIf you own or operate a real estate portfolio, we'd love to show you what this looks like in your buildings. Book a demo: [aquashieldai.com](http://aquashieldai.com)\n\n", "url": "https://www.ycombinator.com/launches/QRA-aquashield-ai-protection-against-water-damage-in-buildings", "votes": 323, "created_at": "2026-05-20T23:57:22.159Z" } ] }, { "id": 31488, "name": "Foaster", "slug": "foaster", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdcff33c87fe29fc884e55a8d2475dd3ed741f53.png", "website": "https://foaster.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Foaster is building the AI-native McKinsey, starting with AI transformation.\r\n\r\nWe deploy AI agents that interview a company's employees at scale, map how work actually gets done, identify bottlenecks and AI opportunities, and draft a transformation roadmap in just 2 weeks. Expert consultants review the final outputs, add judgment where it matters, and feed their corrections back into the system.\r\n\r\nWe believe current AI models already have the capabilities required to automate most of the work consultants do. But traditional consulting firms use them to improve the old model: helping consultants work faster. \r\n\r\nFoaster is instead rebuilding a new model from scratch, where agents do the work that needs scale and humans review the final outputs, bring expertise, and improve the system overtime.\r\n\r\nWe are starting with AI transformation, then progressively expanding to more and more consulting projects using the same approach. Every mission creates structured knowledge from interviews, workflow maps, recommendations, and expert corrections, so the system gets better with every client engagement.\r\n\r\nThe $500B consulting market will eventually be run by our AI agents and a small number of expert humans.", "one_liner": "The AI-native McKinsey", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1773744030, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/foaster", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/foaster.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/foaster-ai", "x_url": "https://x.com/Foaster_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cdcff33c87fe29fc884e55a8d2475dd3ed741f53.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0eb98e84c455e58208779fad75f07c0fb6f5cf2e.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 3198551, "full_name": "Raphaël Dabadie", "title": "Founder/CEO", "founder_bio": "Raphaël is the co-founder and CEO of Foaster.\n\nAt 11, he grew a tennis fan community to 400,000+ people. At 18, he joined Rafael Nadal's team as an agent. He later became a TEDx speaker at 23 and built a public audience around consulting, writing essays that accumulated hundreds of thousands of views.\n\nBefore Foaster, Raphaël and his co-founder Alexandre ran their own AI consultancy. They recently co-authored two of 2025's most viral LLM benchmarks, reaching 12M+ views. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raphaël-dabadie-412bb9248/", "x_url": "https://x.com/RaphaelDabadie", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dddbf3236a3d349f60dc5a5a370fb898d5cf6096.jpg" }, { "user_id": 3404765, "full_name": "Alexandre Combes", "title": "Founder/CTO", "founder_bio": "Alexandre is the co-founder and CTO of Foaster.\n\nBefore Foaster, he built Répondia, where AI agents handled 60k+ customer calls for major restaurant groups in France. More recently, he and his co-founder Raphaël co-built two of 2025's most viral LLM benchmarks, reaching 12M+ views and being shared by leading figures in tech. They spent the last year running their own AI consultancy.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandre-combes-2bb450271/", "x_url": "https://x.com/alexcmbs17", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a55eb5f1418e4684b0514bab39fe9a041037759b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100799, "title": "Foaster - AI agents that drive your AI transformation", "tagline": "The AI-native consulting firm for AI transformation. ", "body": "Hey 👋 We’re Raphaël and Alexandre, co-founders of [Foaster](https://foaster.ai).\n\n# \n\n# **TL;DR**\n\nOur agents run **AI-led interviews** **across your entire company** to map how work actually happens, identify the **highest-impact AI opportunities** in just a few days, and support execution through **adoption tracking, personalized upskilling, and expert guidance.**\n\nBook a demo [here](https://foaster.cal.com/raphael.dabadie/30min).\n\n# \n\n# **❌ The Problem**\n\nMost companies confuse AI adoption with AI transformation.\n\n**AI adoption** is giving employees better tools: ChatGPT, Copilot, Claude, internal assistants.\n\nThat can make individuals faster. But the company itself often stays the same: same workflows, same meetings, same approval chains, same bottlenecks.\n\n**AI transformation** is different. It means redesigning how work happens around what AI now makes possible.\n\nThe problem is that this transformation is broad, fast-moving, and continuous. It touches **every function, every workflow, and every role**, while tools and capabilities keep evolving.\n\n**Traditional methods cannot keep up.** Workshops, consulting projects, and static roadmaps are too slow, too generic, and too disconnected from day-to-day operations.\n\n# **✅ The Solution**\n\nFoaster combines AI agents and human experts to help companies make AI transformation scalable, continuous, and personalized.\n\n### 1. Mapping the company\n\nWe run **30 to 45-minute AI-led interviews** across the organization.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/2ee984d6-7f59-4b8a-9541-fc5ee33eaaef)\n\nAgents collect **the context that usually stays trapped in people’s heads**: workflows, tools, handoffs, bottlenecks, dependencies, informal habits, and repetitive tasks.\n\nThe result is **a granular map of how the company actually works**.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/5f0f7cd9-27f6-4558-b8b2-4e193bd13569)\n\n### 2. Turning the map into a roadmap\n\nAgents reason over that map to **identify where AI can have the highest impact**: what should be automated, redesigned, augmented, or improved first.\n\nOur **human experts review the findings**, bring business judgment, and help leadership prioritize the roadmap based on impact, feasibility, and company goals.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/b404941d-2f4f-41e6-a966-bfb809830afc)\n\n### 3. Keeping the transformation alive\n\nFoaster keeps the map updated over time, tracks adoption, detects where teams are stuck, and generates **personalized upskilling for each employee** based on their role, tools, workflows, and level.\n\n![uploaded image](/media/?type=post&id=100799&key=user_uploads/3198551/9791493a-e960-496a-b416-0593848b3691)\n\nAgents handle the scale, follow-up, and personalization while human experts bring judgment, expertise, change management, and implementation support when needed.\n\nThe goal: **help the whole company move in one direction while supporting every employee at individual scale.**\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team**\n\nWe spent the past year working as AI consultants and saw firsthand how broken the old model was.\n\nWe also did AI research and built two benchmarks that got widely shared: [The Werewolf Benchmark](https://werewolf.foaster.ai), notably shared by Greg Brockman, Clément Delangue, and Thomas Wolf, and [The Political Gap Between AIs and Citizens](https://llm-politics.foaster.ai), shared by Elon Musk and viewed over 12 million times on social media.\n\nAt the same time, we watched models get really good at knowledge work. It became obvious that AI could do a large part of what AI consultants were doing, but at much faster speed and scale.\n\n## **📣 Our Ask**\n\nWe’d love intros to enterprises or mid-market companies trying to figure out what AI transformation should look like in practice.\n\nIf you know someone leading AI transformation, AI enablement, operations, or process improvement, we’d love to talk.\n\n👉 [**raphael.dabadie@foaster.ai**](mailto:raphael.dabadie@foaster.ai)\n\n", "url": "https://www.ycombinator.com/launches/QDn-foaster-ai-agents-that-drive-your-ai-transformation", "votes": 11, "created_at": "2026-05-05T21:16:50.290Z" } ] }, { "id": 31489, "name": "Eden Robotics", "slug": "eden-robotics", "former_names": [ "Eden Robotics Inc.", "Eden" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6d14a9f773f254e36c45b6a27e9f082f69047340.png", "website": "https://www.edenrobotics.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We're building robots that just work and use them to deliver autonomous services at scale. Our first use case is semi-humanoid robots for manufacturing and logistics. Unlike traditional robotics companies, we don't sell robots, we provide physical agents for hire where companies pay for the robots based on usage, decreasing the barrier to entry and expanding the robotics market as a whole.", "one_liner": "Autonomous services for humanity.", "team_size": 4, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1775447037, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/eden-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/eden-robotics.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/6d14a9f773f254e36c45b6a27e9f082f69047340.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": 1956825, "full_name": "Stamatios Floratos", "title": "Founder/CEO", "founder_bio": "Founder of Eden. We are making robots that just work and using them to provide autonomous services at scale. I also bootstrapped a 7-figure B2B Adtech company at 13, working with influencers before it was cool.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/stamatis-floratos-535b19244", "x_url": "https://x.com/StamatisTWIY", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9d08f20fda0c945e553546a63c8d2b461647710.jpg" }, { "user_id": 2772947, "full_name": "Joseph Humphreys", "title": "Founder/CTO", "founder_bio": "PhD in robotics, published in Nature, worked on almost all robot morphologies, used to build on rocket engines.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joseph-humphreys-1163b8150", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/113ef53dca8ae694be0e7a6d5d1d34200f2bdf98.jpg" } ], "jobs": [ { "id": 91495, "title": "Founding Communications Engineer", "url": "https://www.ycombinator.com/companies/eden-robotics/jobs/o06KKgL-founding-communications-engineer", "location": "San Francisco, CA, US / London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$65K - $120K", "equity_range": "0.25% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "C++", "TCP/IP", "Distributed Systems", "Packaging" ] } ], "news": [], "launches": [ { "id": 102020, "title": "Eden - Autonomous Services for Humanity", "tagline": "Autonomous robot employees.", "body": "We’re [Stamatios Floratos](https://www.linkedin.com/in/stamatis-floratos-535b19244) and [Joseph Humphreys](https://www.linkedin.com/in/joseph-humphreys-1163b8150) and we’d love to introduce you to [Eden](https://www.edenrobotics.ai/).\n\n**TL;DR**\n\nMajor labor shortages and the high cost of traditional automation make manufacturers and logistics companies hard and costly to operate efficiently. We provide plug-and-play robots as a service, working out of the box with no complex integration and charging based on hourly usage instead of large upfront setup costs.\n\n\n\n**Problem**\n\nThe world is facing a massive shortage of manual labour. It is hard to recruit and retain workers for factories and warehouses and even harder to scale. Traditional automation requires floor plan reworks, onsite engineers, high setup costs and takes 6-12 months to fully deploy. Most companies simply cannot stop their operations for this long and incur such high costs to implement automation and so are stuck in a perpetual vicious cycle of hiring short-term and scarce human labour.\n\n**Solution**\n\nWe are building robots that can be deployed instantly and work out of the box without any interruption in operations. They are semi-humanoid, which means they can fill positions designed for humans and can reliably perform any task which would take you less than 5-mins to explain to a new worker.\n\n\n\n**How we got here**\n\nWe care deeply about creating delightful customer experiences, and currently the robotics industry is anything but delightful. We think robotics have the power to transform the world and yet they consistently fall short of that promise due to an overemphasis on research and general capability over the customer. We decided to take a different approach and start by building the critical infrastructure that supports real world deployments, with real customers and work insanely hard to make robots ubiquitous and seamlessly woven into daily life.\n\n**The Ask**\n\nWe’re looking to speak to founders who’re building software or digital agents for factories, 3PL and warehouses to learn more about what they care about and look into potential integrations with our robot workers.\n\nReach out to us either on Bookface or through [founders@edenrobotics.ai](mailto:founders@edenrobotics.ai)\n\n![uploaded image](/media/?type=post&id=102020&key=user_uploads/1956825/84f4e974-9e78-47f9-9808-485cc7778005)\n\n", "url": "https://www.ycombinator.com/launches/QXU-eden-autonomous-services-for-humanity", "votes": 12, "created_at": "2026-05-27T14:20:14.932Z" } ] }, { "id": 31491, "name": "TesterArmy", "slug": "testerarmy", "former_names": [ "Tester Army" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2383517bbad408b44b80d2d5f5912ef81073ff0.png", "website": "https://tester.army", "all_locations": "Warsaw, Masovian Voivodeship, Poland; Remote", "long_description": "TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports.\r\n\r\nDescribe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.", "one_liner": "Test your app with AI, catch bugs before users do", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1773767171, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Poland", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/testerarmy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/testerarmy.json", "year_founded": 2026, "city": "Warsaw", "country": "PL", "linkedin_url": "https://www.linkedin.com/company/testerarmy", "x_url": "https://x.com/TesterArmy", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2383517bbad408b44b80d2d5f5912ef81073ff0.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": 3414052, "full_name": "Szymon Rybczak", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of TesterArmy (YC P26).\n\nYoungest ever contributor to React Native (at 16), maintained open-source libraries with 3M+ downloads weekly.\n\nWorked on v0 iOS with Vercel. 5+ years of commercial experience. Working professionally since 14.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/szymonrybczak/", "x_url": "https://x.com/SzymonRybczak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41e6e5890d14f7aee22cebf9990c15771ba50e3a.jpg" }, { "user_id": 3413782, "full_name": "Oskar Kwaśniewski", "title": "Founder", "founder_bio": "Co-founder & CTO of TesterArmy (YC P26).\n\nReact Native Core Contributor (100+ PRs merged), created 5+ open-source libraries with over 2.5M downloads.\n\nWorked with Vercel, Meta, AT&T, and more.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/okwasniewski/", "x_url": "https://x.com/o_kwasniewski", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f7f50a5056949e5eea13153b78e8a074fa4cf422.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101949, "title": "TesterArmy: Test your app with natural language", "tagline": "Automated testing for web and mobile apps", "body": "Hey everyone [👋\\\n\\\n](https://emojipedia.org/waving-hand)**TL;DR: TesterArmy is an AI-powered QA agent that tests your web or mobile app by actually using it - clicking, typing, navigating like a real user.** \\\n\\\n\n\n### **Launch Day Deal 🚀**\n\nAs part of launch day, we’re offering **30% off every subscription** after [signup](https://tester.army/sign-in) with code: **LAUNCH30**.\n\n### **Problem**\n\nEvery dev team knows they should test more, but writing and maintaining automated tests is painful.\n\nTests take time to build; they break when the UI changes, and when a team is shipping fast, QA is usually the first thing to get skipped.\n\nAnd even when tests pass, they only verify what you explicitly told them to verify. They do not notice confusing flows, broken layouts, misleading copy, or weird UI states that a real user would catch in seconds.\n\n### **Solution**\n\nTesterArmy is an AI agent that **tests your app as a real user would.** You describe what to test in natural language, and the agent clicks, types, and navigates through your app using vision. It catches broken flows, rendering bugs, misleading copy, and confusing UX. No selectors, no scripts, nothing to maintain.\n\nEvery run produces screenshots, recordings, and actionable bug reports. Setup takes minutes: paste your URL or upload a mobile app build, and describe what to test. Done.\n\n![uploaded image](/media/?type=post&id=101949&key=user_uploads/3414052/1f12e0be-1909-4295-b7b0-497898669f63)\n\n### **Meet the team**\n\nWe’re a team of three from Poland 🇵🇱 - [Szymon Rybczak](https://x.com/SzymonRybczak), [Oskar Kwaśniewski](https://x.com/o_kwasniewski) and [Piotr Matyjasik](https://x.com/p_matyjasik). \\\n\\\nSzymon and Oskar have worked closely together for years across **4 companies**, while Piotr and Oskar go even further back, having studied computer science together in Poland. We’ve spent years shipping web and mobile products used by millions, from open source and developer tools to production apps. We came together around a problem we knew firsthand: teams ship fast, but QA still slows everything down.\n\n![uploaded image](/media/?type=post&id=101949&key=user_uploads/3414052/0007b5a1-3c33-4194-b65a-f85dc0f65593)\n\n### **🤝 Our Ask**\n\n**If this is a problem you face, try us out!**\n\n\\- Book a [demo](https://tester.army/meet)\n\n\\- [Sign up now!](https://tester.army/sign-in) We are live and used in production by 20+ companies\\\n\\\n**Thank you! 🙏**\n\nSzymon, Oskar and Piotr", "url": "https://www.ycombinator.com/launches/QWL-testerarmy-test-your-app-with-natural-language", "votes": 95, "created_at": "2026-05-26T01:08:53.084Z" } ] }, { "id": 31493, "name": "Plena Health", "slug": "plena-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3904753c66e12d522cb76c36f26a8325b7a90c7e.png", "website": "https://www.plena.health/", "all_locations": "San Francisco, CA, USA", "long_description": "Plena is the AI operating system for specialty medical practices. We automate the administrative workflows that keep clinics running — referrals, fax intake, scheduling, procedure compliance, and collections — end to end, across all the systems a practice already uses. Unlike point solutions that cover a slice of the problem, Plena becomes the operating layer across the entire practice, connecting the systems, teams, and workflows that keep it running. In 10 months we've grown 17x and crossed seven figures in committed ARR across six specialties and eight states, with 80% of growth through word of mouth.", "one_liner": "Plena is the AI operating system for specialty medical practices", "team_size": null, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1780106406, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/plena-health", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/plena-health.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/plenahealth", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3904753c66e12d522cb76c36f26a8325b7a90c7e.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": 3415495, "full_name": "Eyad Abdalla", "title": "Founder", "founder_bio": "Doctor's son, engineer by trade — Waterloo, then Datadog and Shopify. 3 years in specialty clinics convinced him they don't need more software. They need someone to do the work. Plena does it.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eyadabd/", "x_url": "https://x.com/eebadaeebada", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ff050fe6f6a252b51a5776811aaa5445329a5992.jpg" }, { "user_id": 2250276, "full_name": "Ahmed Al Mudarris", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Plena. Started his career at a nuclear engineering startup, then built tier-zero infrastructure at AWS — the systems that can't go down. Doctor's son who took the MCAT before deciding to build for medicine, not practice it. Built Plena's platform end-to-end.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ahmed-al-mudarris-11a5381bb/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc64751642b4b38a074c12c4d9711317c7f57ae1.jpg" } ], "jobs": [ { "id": 113901, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/plena-health/jobs/p7NBfth-founding-account-executive", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$225K - $325K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 102388, "title": "Plena Health: The AI operating system for specialty medical practices", "tagline": "The full stack AI operating system for specialty medical practices", "body": "**TL;DR**\n\nPlena is the full stack AI operating system for specialty medical practices. We automate the administrative work that keeps clinics running — referrals, fax intake, scheduling, procedure compliance, records, and collections. Everything that isn't the medicine.\n\n**In 8 months, we've grown 17x and crossed seven figures in contracted ARR.**\n\nSo far we cover six specialties across eight states, all on annual or multi-year contracts, with 80% of our growth through word-of-mouth.\n\n\n\n**The Problem**\n\nMy mom is a doctor. Plena's office sits inside her clinic — she was our first user. I grew up watching her run a practice, and the pattern was the same in every clinic I later embedded in: a doctor's day eaten by everything that isn't medicine.\n\nIndependent specialty practices are squeezed. Staffing costs rising, reimbursements tightening, payers using automation to deny and downcode claims.\n\nMeanwhile, practices run critical workflows across EHRs, clearinghouses, portals, fax, spreadsheets, phones, and email. A single referral: read the fax, match the patient, extract clinical details, check insurance, update the EHR, attach documents, route tasks, chase missing info. That's one workflow. Practices run dozens daily.\n\nMost software adds another portal, another login, another vendor. Point solutions cover a slice. Staff stitch the rest together.\n\n\\\n**Why Point Solutions Can't Get You to Labor Replacement**\n\nThe real goal isn't automating one workflow. It's labor replacement — and you can't get there one feature at a time.\n\nNo single piece of software works for all specialty practices. Cardiology, GI, urology, ortho are too different from each other. Even two clinics in the same specialty are too different. Off-the-shelf can't cover the surface area.\n\nSo we took a Palantir-like approach: a base platform of reusable building blocks — workflow primitives, EMR integrations, agent harnesses — that lets us assemble exactly what each practice needs. Deep discovery, build to spec, stand it up in a day or two. Every engagement feeds the platform, so the next build is faster. That's the flywheel.\n\nAI is what makes this newly possible — final-mile customization at speed is exactly what AI is good at. And it's why we're an easy yes: no rip-and-replace, no retraining. We slot into what practices already run and take more off their plate over time.\n\n**How Plena Works**\\\nPlena automates workflows end-to-end across the systems a practice already uses — EHRs, fax, phones, clearinghouses, payer portals, patient communication. We don't replace those systems. We don't ask staff to learn a new one.\n\nSome competitors force practices to migrate into a walled garden — abandon the EMR, retrain the team, rebuild data flows. That's why their sales cycles are slow. We do the opposite: we live inside what's already there, and quietly take over the rote work end-to-end.\n\nCustomers start with one painful workflow — referrals, collections, scheduling — then expand as they see it work.\n\n\\\n**Where This Goes**\n\nWe start as an automation layer on top of what practices already have. Over time we cannibalize the rote work and the other vendors a practice is stitched together from — until the EHR is just a database we read and write to. From there, even the EHR becomes a turnkey switch instead of the migration nightmare it is today.\n\nThat's the system specialty practices end up running on.\n\n\\\n**Our Story**\n\nEyad and Ahmed were both raised in medicine — Eyad's mom and Ahmed's dad are doctors. The combination — engineers who grew up watching practices run — is why we kept seeing the operational problem when other founders saw something else.\n\nEyad is a Waterloo engineering grad — Datadog and Shopify before Plena, 3 years embedded in clinics. Ahmed built tier-zero infrastructure at AWS, with a background in nuclear systems before that. Specialty practices didn't need another lightweight tool — they needed infrastructure.\n\n\\\n**Our Ask**\n\nIntros to independent specialty practices, administrators, and physician owners — especially orthopedics, GI, dermatology, ophthalmology, ENT, urology, and multi-location groups. Best fit: high admin volume and disconnected systems.\n\n[eyad@plena.health](mailto:eyad@plena.health)\n\nEyad and Ahmed", "url": "https://www.ycombinator.com/launches/QdQ-plena-health-the-ai-operating-system-for-specialty-medical-practices", "votes": 53, "created_at": "2026-06-01T19:17:08.692Z" } ] }, { "id": 31494, "name": "RASPIRE", "slug": "raspire", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eec2630d827ef4927b95e335dc060a630450da9.png", "website": "https://raspire.com/", "all_locations": "Cairo, Cairo Governorate, Egypt", "long_description": "RASPIRE is the first line of defense for applications against AI-powered fraud attacks, API abuse, and runtime threats. Unlike code scanners and pentesting tools that identify vulnerabilities before release, RASPIRE operates like a security expert running inside applications, monitoring, detecting, and blocking attacks 24/7 in real time. All without writing a single line of code.", "one_liner": "Autonomous Runtime Security", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1780001140, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "Egypt", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/raspire", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/raspire.json", "year_founded": 2025, "city": "Cairo", "country": "EG", "linkedin_url": "https://www.linkedin.com/company/raspire", "x_url": "https://x.com/raspire_", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0eec2630d827ef4927b95e335dc060a630450da9.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": 2883773, "full_name": "Kareem Selim", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO @ RASPIRE. Used to break apps for a living. Now shipping automated security for them, built by hackers, against hackers.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kareem-se1im", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1821dbc0b5e8a5df323515f4a9c2ed1068837dbf.jpg" }, { "user_id": 3400512, "full_name": "Hassan Mostafa", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO @ RASPIRE. Spent years breaking apps for banks and fintechs, now building the runtime security they were missing.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/h4ss4nmostafa/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a5e2122e34822d6bbb15b273a2dfcb644fd4ceb3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102582, "title": "RASPIRE - App Security at AI Speed.", "tagline": "The fastest way to secure mobile apps without writing a single line of code.", "body": "Hey everyone 👋! We're [Kareem Selim](https://www.linkedin.com/in/kareem-se1im/) and [Hassan Mostafa](https://www.linkedin.com/in/h4ss4nmostafa/), co-founders of [RASPIRE](https://www.linkedin.com/company/raspire/).\n\n**TL;DR:** RASPIRE is an AI runtime security layer for mobile apps. It protects applications every time they run, automatically detecting and responding to attacks in production while giving security teams real-time visibility into threats across their applications. Already protecting apps used by 20M+ end users across banking, fintech, healthtech, and e-commerce.\\\n\\\n**Our Launch Video**: \n\n\\\n**Ask**: Building a mobile app or already have one? We'll help you secure it. Book a demo: [cal.com/raspire/demo](https://cal.com/raspire/demo)\n\n**The problem**\n\nBuilding and shipping a mobile app has never been easier.\n\nBut security still requires complex integrations, code changes, and months of work.\n\nExisting solutions often requires SDK integrations, configuration, and security expertise to operate but developers shouldn't become security experts just to ship an app.\n\nAs a result, security is often overlooked or assumed to be handled by app stores.\n\nit's not…\n\nand as AI accelerates app development, the attack surface is growing faster than security can keep up.\\\n\\\n**The Solution**\n\nIf you can build an app in one click, you should be able to secure it in one click.\n\nRASPIRE is making securing mobile apps as simple as building them. We protect Android and iOS applications without writing a single line of code.\n\nSimply upload your compiled app, and RASPIRE automatically applies the right protections in minutes, from anti-fraud and app integrity to reverse-engineering and API protection.\n\nUnlike code scanners tools that stop before release, RASPIRE protects applications every time they run, automatically detecting and responding to attacks in production while giving security teams real-time visibility into threats across their applications.\n\n**How it works**\n\nUpload your compiled app (APK/IPA). We harden it automatically. No SDK. No code changes. No config files. No workflow changes. Done in minutes. Plugs into your CI/CD pipeline. Cloud or on-prem, your call.\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/3f3b04d5-4b8a-4357-b2ac-09e039c8ac59)\n\n**Full visibility into your app's security**\n\nOnce shielded, you get real-time visibility into everything happening inside your app. Security events flow into your existing SIEM or your application monitoring platform (e.g. Sentry/DataDog).\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/6156e141-2d96-48e9-aa78-a0e933f97d96)\n\n**Hunt the attackers, not just the attacks**\n\nMost security tools tell you what happened. RASPIRE tells you who did it, down to the device. And lets you block them permanently.\n\n**The team**\n\nWe've known each other for 10 years. We've won CTFs and security hackathons together, and spent 15 combined years in offensive security. Hundreds of security audits for banks, fintechs, and enterprises. We've seen every way a mobile app can break. Now we make sure yours doesn't.\n\n![uploaded image](/media/?type=post&id=102582&key=user_uploads/3400512/011a04a0-00ff-448b-9b18-5387b6933a2e)\n\n**Our ask**\n\nIf any of these describe you, we'd love to talk:\n\n* Leading mobile security and compliance across your organization.\n* Building apps in banking, fintech, healthcare, or other regulated industries.\n* Running a consumer mobile app and concerned about fraud, account takeover, or reverse engineering.\n* Building mobile games and need anti-cheat protection.\n* Building apps with AI and want to protect your APIs, secrets, and user data.\n\nVisit [raspire.com](http://raspire.com) or book a demo at [cal.com/raspire/demo](https://cal.com/raspire/demo)", "url": "https://www.ycombinator.com/launches/QgY-raspire-app-security-at-ai-speed", "votes": 1176, "created_at": "2026-06-04T18:26:15.672Z" } ] }, { "id": 31496, "name": "Hessian", "slug": "hessian", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f536986f121d1ec1c4cb08cbe10e493da54b21ee.png", "website": "https://hessian.sh", "all_locations": "London, England, United Kingdom", "long_description": "Hessian is the platform for automating business operations with AI agents. We forward deploy on-site to map the work, and build the agents on our platform to run it end-to-end. Unlike off-the-shelf tools that don't know your business, you get a partner that owns the software and operates it every day. Why now? Coding agents have matured to the point where, combined with our engineering judgment we've built across a decade of shipping production systems, we can scale forward-deployed engagements with minimal headcount. Furthermore, our FDE agents and tooling will accelerate how quickly we automate workflows on our platform. We're already saving our customers hundreds of hours a month. Trillions of dollars a year are spent on knowledge work, and we're building the standard for how every company deploys, operates, and governs the AI agents that do it.", "one_liner": "Forward-deployed AI Agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1779173686, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hessian", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hessian.json", "year_founded": 2026, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/hessianhq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f536986f121d1ec1c4cb08cbe10e493da54b21ee.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": 1814065, "full_name": "Bao Nguyen", "title": "Founder/CEO", "founder_bio": "Bao, co-founder and CEO of Hessian – leads GTM, fundraising, customer relationships, and ML strategy. He co-founded Zettafleet, leading engineers to build a decentralized LLM training platform on hundreds of GPUs, and was a SWE at Bloomberg building ML pipelines to rate physical assets and managed a Bloomberg-Goldman Sachs Index. MPhil (scholarship) from the University of Cambridge and BSc from Durham University in CS, with publications in ML systems, including research with Google DeepMind.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bao-thai-nguyen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bfbbca4df578a838be81a16de1906cc4e692ec92.jpg" }, { "user_id": 3314290, "full_name": "James Smith", "title": "Founder/COO", "founder_bio": "James, co-founder and COO of Hessian – leads forward-deployed engagements: customer relationship, system design, shipping AI pipelines to production. Previously five years at Bloomberg building a data platform processing billions of observations for financial firms, including entity-disambiguation AI pipelines, then DRW building data infrastructure and pipelines for commodities trading desks. CS at Durham University (top of year); awarded three scholarships from the University of Cambridge.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jamesdsmith99/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/523e0b7321cf082c087476d01eb70c7d4374f3d1.jpg" }, { "user_id": 3314289, "full_name": "Tom Watson", "title": "Founder/CTO", "founder_bio": "Tom, co-founder and CTO of Hessian – leads technical direction and engineering of the platform which Hessian runs on. Previously at GoCardless, he was part of a team which migrated the core payments database to a more scalable provider live with zero downtime, on a system processing over £1B on peak days. Prior, spent 2 years at CMC Markets building a 0-to-1 retail trading app for US investors. BSc in CS from Durham University, where his team won the IBM prize for shipping a production CMS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thomasedw/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6a86a6aaf1c3c27092dd4d1a6f359648c089477.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101784, "title": "Hessian: Automating business operations with forward-deployed AI agents", "tagline": "We embed engineers into companies and ship AI agents that automate the real work.", "body": "Hey YC, We're Bao, James, and Tom - co-founders of Hessian!\n\n# **TL;DR**\n\n* Every company is racing to adopt AI, but most don't know where to start at scale.\n* We forward-deploy engineers into your team, map the work, then build and operate AI agents on our platform.\n\n**We are already saving our customers hundreds of hours a month and allowing them to put the work where it matters.**\n\n# \n\n# **The Problem: Companies cannot adopt AI effectively**\n\nEvery company is racing to adopt AI. Most use disparate SaaS tools that are  built for everyone, optimised for no one and need to be actively prompted.\n\nTwo reasons most companies get stuck:\n\n* **Lack of knowledge and capacity to adopt AI effectively.** Most companies can't identify which workflows should be automated, let alone build a production-grade system to do it. The engineers who can do this work are scarce and concentrated in a handful of frontier firms.\n* **Off-the-shelf tools don't know your business** and lack integration with your existing systems. They do not meet customers where they are.\n\n# **Our Solution: Forward-deploy with AI agents**\n\nWe forward deploy on-site to map the work, and build the agents on our platform to run it end-to-end.\n\n**1. Map the work.** Our engineers deeply embed into your organization to find where automation can be most effective – freeing your team to do more meaningful work.\n\n**2. Build the agents.** Custom AI agents on the Hessian platform that take over that work end-to-end. For example:\n\n* 📊 **Sales agents** that draft proposals between calls, pulling CRM, pricing decks, and customer context automatically.\n* 💰 **Financial agents** that reconcile invoices and prepares month-end close overnight.\n* ⚙️ **Ops agents** that keep internal systems in sync without anyone asking.\n* 📈 **Data agents** deliver critical insights to frontline teams, allowing them to query internal databases and filesystems through chat.\n\n**3. Operate them in production.** We deploy, operate, and scale the agents on our platform.\\\n\\\n**The Hessian Platform.**\n\n![uploaded image](/media/?type=post&id=101784&key=user_uploads/1814065/57dedbc8-a622-4d8e-924a-2d7157f9333b)\n\n![uploaded image](/media/?type=post&id=101784&key=user_uploads/1814065/b038c07e-b933-4d86-91b8-c366e6e07608)\n\n# **The Team**\n\n* **Bao** – Previously co-founded Zettafleet, where he led the team behind a decentralized LLM training platform across hundreds of GPUs; previously published ML research with Google DeepMind; CS from Cambridge and Durham.\n* **James** – Spent five years at Bloomberg building and forward-deploying a data platform processing billions of time series observations a day. CS from Durham, awarded three Cambridge scholarships.\n* **Tom** – Migrated GoCardless core payments database live, with zero downtime, on a system processing over £1B on peak days; previously built CMC Markets's 0-to-1 retail trading app for US investors; CS from Durham.\n\nBook a forward deployed engagement at: \n\n📅[**Book a call**](https://calendar.app.google/JSYFwaCXXTiN6Mka8)   [🔗**hessian.sh**](http://hessian.sh)  [📧**founders@hessian.sh**](mailto:founders@hessian.sh)", "url": "https://www.ycombinator.com/launches/QTg-hessian-automating-business-operations-with-forward-deployed-ai-agents", "votes": 12, "created_at": "2026-05-22T13:39:25.445Z" } ] }, { "id": 31497, "name": "Amboras", "slug": "amboras", "former_names": [ "Amboras Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f73132de2e37d734f38e992e57e4ea9a377f28c1.png", "website": "https://amboras.com", "all_locations": "San Francisco, CA, USA", "long_description": "Amboras puts your entire e-commerce on autopilot. It builds your store, continuously optimizes it, reads your analytics, and learns what converts - all autonomously. No developers. No agencies. No guessing. Today it sells to humans. Tomorrow it sells to AI agents.\r\n", "one_liner": "AI Native Shopify", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774323217, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/amboras", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/amboras.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109776165/admin/dashboard/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f73132de2e37d734f38e992e57e4ea9a377f28c1.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": 1449044, "full_name": "Imad Mokadem", "title": "Founder/CEO", "founder_bio": "Co-Founder at Amboras | Ex-6-figure MRR ecom founder | ETH Mechanical Engineer\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/imad-eddine-mokadem-36aa64224/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/853587b26e0de3ffd7894469bb11732a6455ac4a.jpg" }, { "user_id": 3203748, "full_name": "Amin Mokadem", "title": "Founder/CTO", "founder_bio": "Co-founder at Amboras | CS @ ETH Zurich | Former 6-figure monthly revenue ecommerce founder", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amin-mokadem-003bb3393/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b30cf038c9b8281f6312bfe7edfac10bb3e40a42.jpg" } ], "jobs": [ { "id": 109283, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/t5Yd39L-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$200K - $400K", "equity_range": "0.20% - 0.80%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109285, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/p5qYN1q-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.20% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109287, "title": "Full-Stack Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/9VILyyv-full-stack-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.20% - 0.60%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109445, "title": "Commerce Systems Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/Iob2XBZ-commerce-systems-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.20% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109447, "title": "AI Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/8aAlnji-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $350K", "equity_range": "0.20% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109448, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/amboras/jobs/J1kez3g-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $300K", "equity_range": "0.20% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109449, "title": "Product Manager", "url": "https://www.ycombinator.com/companies/amboras/jobs/uIFgRtA-product-manager", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $350K", "equity_range": "0.20% - 0.60%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101666, "title": "Amboras: Your self improving online store", "tagline": "Amboras puts the entire e-commerce stack on autopilot and runs your store end to end.", "body": "**Hey everyone 👋**\n\nWe're Amin and Imad, cofounders of Amboras.\n\n**TL;DR** Amboras is an AI native platform that puts the entire e-commerce stack on autopilot. Bring an existing store or start from scratch. It learns how your customers buy and autonomously ships the changes that make your store sell better.\n\nMerchants get into e-commerce to build a business. Instead they're stitching together a dozen apps, paying a CRO agency on retainer, and burning weeks with developers and analytics tools just to figure out what their customers actually want. Most stores plateau at a 2% conversion rate. What about the other 98%?\n\nAmboras is making margins possible that weren't possible pre AI.\n\n**Our Launch Video:** \n\nAsk: Do you run an ecommerce store, or know someone who does? I'd love to speak to them directly: \n\n**Problem ❌**\n\nEcommerce is a $30T+ global industry, still running on tooling that predates AI. Every layer of the stack is static and manual, so nothing a merchant learns ever compounds into a better store.\n\nIt comes down to four things:\n\n1. **Static offers & storefronts.** Stores should learn from every interaction and adapt to every ICP. Today they don't.\n2. **Slow A/B testing.** Finding a winning storefront and offer means designers, CRO experts, developers, and weeks of waiting, just for a single test.\n3. **No agentic layer.** No platform is built for the coming age of agentic purchasing.\n4. **The plugin and agency tax.** A dozen apps charging you monthly, a CRO agency taking a retainer, and on top of that a cut of every conversion uplift they ship.\n\nWe built and grew our own educational board game brand to $200K/month, and watched our margins get eaten by exactly this overhead.\n\n**Solution ✅**\n\nAmboras is an AI native commerce platform. You run your store by talking to AI, and it runs itself on autopilot, getting better every day, hands free.\n\n**Part 1: Build or rebuild your store**\n\nNo dashboards, no apps, no code. You tell Amboras what you want and it does it: generating or rebuilding your storefront, adding products, creating images and copy, testing offers, launching price changes. Building the store is simply the first thing you ask it to do. In the demo below, every action is done by AI. (If you already have a store, we can A/B test Amboras with your current setup, without any risk)\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/2414f82e-a13e-428c-b752-a3346d7bbd42)\n\n**Part 2: Optimize from the first visitor**\n\nEvery session feeds Amboras a richer picture of your customers, and the agent translates that picture into a constantly expanding test queue as your store scales. It autonomously ships offer tweaks, layout changes, and copy variants that compound your CVR, retention, and AOV, while learning about your ICP deeper with every visitor, all working toward the real goal of maximizing lifetime value per visitor. While you focus all your efforts on driving traffic to your page, your store keeps improving on its own, getting sharper the more it sees. Our A/B testing engine is in beta, and early merchants are already seeing over 80% CVR lift on the first version Amboras puts live.\n\n![uploaded image](/media/?type=post&id=101666&key=user_uploads/1449044/ff7ab1d1-bd51-40ed-8c4f-28b23510a05f)\n\n**Ask 💬**\n\nIf you are, or you know, any of the following, We'd love to hear from you:\n\nEstablished store owners People that already have a store and are tired of paying a dozen apps and expensive CRO agencies just to move the needle slightly.\n\nYou can reach out to us at: or [Imad@amboras.com](mailto:Imad@amboras.com)\n\n**Team**\n\nWe're brothers. Imad studied Mechanical Engineering at ETH Zurich, Amin studied Computer Science at ETH Zurich. We scaled our own educational board game brand to $200K/month, and lived every problem Amboras now solves. Our first attempt to fix it was EcomCoder, a Shopify dev tool we grew to over 1,000 users, until we realized fixing one piece wasn't enough and the whole stack had to be rebuilt. That's Amboras.", "url": "https://www.ycombinator.com/launches/QRm-amboras-your-self-improving-online-store", "votes": 160, "created_at": "2026-05-20T19:03:28.388Z" } ] }, { "id": 31498, "name": "Aster", "slug": "asterlab", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/24a27f14876befd155fa8c25b4a3056848cf5b16.png", "website": "https://www.asterlab.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Aster is the first autonomous research lab — thousands of AI research agents orchestrated in parallel toward a single goal. We're on a mission to automate open-ended research: research that defines its own problems before it can answer them. The future doesn't wait to be defined by benchmarks. Neither do we.", "one_liner": "Automating open-ended research.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1775665287, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asterlab", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/asterlab.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/111061400", "x_url": "https://x.com/asterailabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/24a27f14876befd155fa8c25b4a3056848cf5b16.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": 2005232, "full_name": "Emmett Bicker", "title": "Founder/CEO", "founder_bio": "Hey! I'm Emmett, I moved to SF when I was 18 to train large language models at Magic, and I just left to start my own company. I've been teaching myself machine learning since I was 15.\n\nI'm making tools that use AI to accelerate science at www.asterlab.ai. My ultimate vision for Aster is a system that will automate ten years of research over a single week.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/emmett-bicker-604117238/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/81c9b0f7702366012548927546a2903dbd8be17d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103024, "title": "Aster: The First YC Neolab", "tagline": "Automating open-ended research.", "body": "\n\nWhen I was 18, I joined Magic, a frontier lab working on 100M token context coding models, as a reinforcement learning researcher.\n\nWhile I worked there, I gradually grew more drawn to autonomous research. I truly felt that this could automate all the work I was doing at Magic, so in January, I left to start my own lab.\n\nIntroducing Aster — a major breakthrough for research.\n\nAster isn’t a single agent. It is the first autonomous lab orchestrating **thousands of research agents in parallel.**\n\nWe pointed Aster towards ProteinGym, a benchmark that measures how accurately models predict the effects of protein mutations. It set the world record in **30 minutes**.\n\nAnd it did it efficiently:\n\n    •    57x faster than single agent systems on the same task.\n\n    •    One-third the cost for the same result.\n\nBut here’s what we realized: measurable problems are only a small sliver of research.\n\nThe hard ones were never measurable.\n\nAt Aster, we’re on a mission to automate open-ended research, research that defines its own problems before it can answer them.\n\nThe future doesn’t wait to be defined by benchmarks. Neither do we.\n\nRead our research writeups at .\n\n![uploaded image](/media/?type=post&id=103024&key=user_uploads/2005232/2264869d-fb12-406c-8697-c16bca2543fd)\n\n![uploaded image](/media/?type=post&id=103024&key=user_uploads/2005232/99902341-9d08-445b-8c96-8782bc7fd65c)\n\n", "url": "https://www.ycombinator.com/launches/Qng-aster-the-first-yc-neolab", "votes": 26, "created_at": "2026-06-13T15:47:30.808Z" } ] }, { "id": 31500, "name": "OpenProse", "slug": "openprose", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b6d546d22917532ccb4e5251eb0d9aa20d25d4.png", "website": "https://prose.md", "all_locations": "Boston, MA, USA; Remote", "long_description": "OpenProse is building open-source infrastructure for long-running AI work: a declarative language plus a reactive harness/runtime for reliable agent workflows.", "one_liner": "An open-source operating system for reliable long-running agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1779199533, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/openprose", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/openprose.json", "year_founded": 2026, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/openprose", "x_url": "https://twitter.com/irl_danb", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64b6d546d22917532ccb4e5251eb0d9aa20d25d4.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": 3398710, "full_name": "Dan Barrett", "title": "Founder/CEO", "founder_bio": "Software engineer of 12 years, agent developer of 5 years, two time founder. Creator of OpenProse.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/irl-danb/", "x_url": "https://x.com/irl_danB", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d7b31f94c77e5646a1340fe5a44c77f70ba158d.jpg" } ], "jobs": [], "news": [ { "title": "Genie Lessons from Genie Sessions: Prose as a Programming Language", "url": "https://newsletter.kentbeck.com/p/genie-lessons-from-genie-sessions", "date": "May 26, 2026" } ], "launches": [] }, { "id": 31501, "name": "General Aviation", "slug": "general-aviation", "former_names": [ "Fastsky" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ea954602807b3490b23ce9d1c2e1a7490777284.png", "website": "https://generalaviation.com", "all_locations": "New York City, NY, USA", "long_description": "Building the elements of a new ATC system.", "one_liner": "Fixing air traffic control with remote towers", "team_size": 0, "industry": "Industrials", "subindustry": "Industrials -> Aviation and Space", "launched_at": 1778742722, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Aviation and Space" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/general-aviation", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/general-aviation.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0ea954602807b3490b23ce9d1c2e1a7490777284.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": 3468328, "full_name": "Ben Frank", "title": "Founder/CEO", "founder_bio": "Founder at General Aviation. Previously started two aviation software companies: Rotabull and Seer Aerospace (acquired by Aviation Week). Also, previously at Rotor Technologies, which built autonomous helicopters. Flies and fixes planes.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/benjaminsfrank", "x_url": "https://x.com/benjaminsfrank", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/014a894e52ebaeb112d0738c225801391953d476.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31503, "name": "Apollo Atomics, Inc.", "slug": "apollo-atomics-inc", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.png", "website": "https://apolloatomics.com/", "all_locations": "Boston, MA, USA", "long_description": "", "one_liner": "We make the most compact nuclear reactors", "team_size": null, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1779451083, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/apollo-atomics-inc", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/apollo-atomics-inc.json", "year_founded": null, "city": "Boston", "country": "US", "linkedin_url": "https://www.linkedin.com/company/apollo-atomics/", "x_url": "https://x.com/ApolloAtomics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/16f6645d8ad61e91c9ab2ac0538b531424aa4cb7.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": 1771814, "full_name": "Assil Halimi", "title": "Founder/CEO", "founder_bio": "Founder at Apollo Atomics, Inc. (YC P26). PhD in Nuclear Engineering from MIT with 15 peer-reviewed publications and 2 patents on reactor design and fuel optimization. Previously reactor operator at Engie (Belgium's nuclear operator) and advanced reactor designer at EDF (world's largest nuclear operator). Worked with Westinghouse, NuScale, Rolls-Royce on PWR development.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aahalimi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cd3b774cc6015b86db8d3522ed253a04f1971a7b.jpg" }, { "user_id": 3593795, "full_name": "Drew Walker", "title": "Founder/COO", "founder_bio": "Co-Founder & COO of Apollo Atomics (YC P26). He previously co-founded Blue Innovations Group, an electric boat startup, and served in the White House. He holds a B.A. in Political Science from George Washington University.​​​​​​​​​​​​​​​​", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/drewwalkerrr/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a630f3cd7cbb13ad53c30ddd73c4424e4a514fa4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102035, "title": "Apollo Atomics: The Modern Nuclear Company", "tagline": "Compact nuclear reactors for companies that can't wait for the grid.", "body": "Hey everyone 👋\n\nWe're [Assil](https://www.linkedin.com/in/aahalimi/) and [Drew](https://www.linkedin.com/in/drewwalkerrr/) — co-founders of [Apollo Atomics](https://www.apolloatomics.com).\n\n### TL;DR\n\nApollo Atomics took the pressurized water reactor technology that already powers 80% of the world's nuclear plants and flipped one part, the steam generator, to make the plant an order of magnitude smaller without compromising power. That single change turns a decade-long construction project into a factory-built machine that fits on a truck. We've built a working demonstrator, tested it, and our fuel is already critical before July 4th.\n\nWe put the whole story into just over two minutes — it's the clearest version of what we're building we've made so far: ▶️ \n\n### The Problem\n\nThe existing nuclear playbook doesn't work for customers who need power now.\n\n* Gigawatt-scale nuclear takes 10+ years and \\~$20B per plant.\n* Most Small Modular Reactors (SMRs) in development rely on exotic fuels, unproven coolants, or supply chains that don't exist yet.\n* Customers who need power in 2030 are being told to wait until 2035+ and hope.\n\nData centers, industrials, and utilities have demand today — and no credible nuclear option that can ship on their timeline.\n\n### Our Solution\n\nApollo builds compact pressurized water reactors — the same technology that runs \\~80% of the world's nuclear plants today. The difference is that our reactor is roughly 40x more compact, because we shrank only one component: the steam generator.\n\nWe keep everything the NRC has already licensed dozens of times — light water, low-enriched uranium, fuel, and components from existing qualified supply chains. The innovation is a single part: the steam generator.\n\nOur Compact Steam Generator (CSG) replaces the massive, hand-built steam generator at the heart of a conventional PWR with a component 20x smaller, delivering the same thermal power — pre-tested, transportable, and contracted at a fixed price. That one change is what takes a reactor from a decade-long construction project to a factory-built machine deployable in less than 24 months.\n\nOur product roadmap is three reactors, each on a truck, each for a different customer segment:\n\n* A-10 — 10 MWe\n* A-50 — 50 MWe\n* A-300 — 300 MWe\n\n### Our Ask\n\nIf any of these are you, we'd love to talk:\n\n* Data center operators and hyperscalers sourcing 24/7 firm power for 2028–2035 deployment.\n* Industrial offtakers (chemicals, refining, heavy manufacturing) needing process heat or behind-the-meter electricity.\n* Utilities evaluating SMRs for grid-connected generation.\n\n👉 Reach us at [ahalimi@apolloatomics.com](mailto:ahalimi@apolloatomics.com) and [drew@apolloatomics.com](mailto:drew@apolloatomics.com).", "url": "https://www.ycombinator.com/launches/QXj-apollo-atomics-the-modern-nuclear-company", "votes": 35, "created_at": "2026-05-27T16:16:56.566Z" } ] }, { "id": 31505, "name": "OpenWork", "slug": "openwork", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/79f117b2c0a8e5660f929ae9a8070ce8dd61d0ff.png", "website": "https://openworklabs.com", "all_locations": "San Francisco, CA, USA", "long_description": "OpenWork is a desktop app that lets people connect to their existing skills, MCPs, and agents. Users can download the app for free, try it with over 50+ model providers, and easily share their setup with their team.", "one_liner": "The open source alternative to Claude Cowork", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1774277464, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/openwork", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/openwork.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/openwork-software", "x_url": "https://x.com/getopenwork", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/79f117b2c0a8e5660f929ae9a8070ce8dd61d0ff.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": 571092, "full_name": "Ben Shafii", "title": "Founder/CEO", "founder_bio": "Currently working on OpenWork, the open source alternative to Claude Cowork.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ben-shafii-450039107/", "x_url": "https://x.com/benjaminshafii ", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b2115f3bbe6a2e9695e1eab48ddf72780f909072.jpg" } ], "jobs": [ { "id": 94307, "title": "Design Engineer - SF", "url": "https://www.ycombinator.com/companies/openwork/jobs/DCF4njj-design-engineer-sf", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$130K - $200K", "equity_range": "1.00% - 5.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "Next.js" ] }, { "id": 97166, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/openwork/jobs/TqV9SSB-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "3.00% - 5.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 100181, "title": "OpenWork - The open source alternative to Claude Cowork", "tagline": "An enterprise-ready alternative to Claude Cowork", "body": "Hi! This is Ben from OpenWork.\n\nWe're building an **open source, enterprise-ready alternative to Claude Cowork** that companies can deploy internally — with **their own LLMs, their own infrastructure, and their own compliance posture**.\n\nWe launched 3 months ago, and already have 14k GitHub stars and 150k+ downloads.\n\nOpenWork is:\n\n\\- **Desktop** that you can provide to your non-technical employees.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/b4e8acf0-097b-4320-88f2-aca59afd8b42)\n\n\\- **Cloud** that lets you administer which skills, plugins, mcps your users have access to.\n\n![uploaded image](/media/?type=post&id=100181&key=user_uploads/571092/ed1de3e2-31bf-4a27-b1b8-7326cf2aef92)\n\nSome advantages over Claude Cowork:\n\n\\- **Deploy it where you want.** Use our cloud, or self-host on-premise, in your cloud, or hybrid. Companies with stricter requirements keep everything inside their trust perimeter.\n\n\\- **Model-independent, cost-controlled.** Bring your own: self-hosted, Bedrock, Azure, Vertex, or any of 50+ providers. Route per task so you only pay frontier prices when it actually matters. \n\n\\- **Reuses what you have.** Internal MCPs, runbooks, scripts, and docs become agent capabilitie \n\n\\- **Shared across the team.** Technical and non-technical teammates use the same agents from the UI, Slack, or Telegram.\n\nOpen source. No lock-in on infra or models.\n\nWays to get started:\n\n1\\. Try the desktop app - no sign-in required\n\n2\\. Sign in to our cloud\n\nor:\n\nbook a demo:\n\n\n\n ", "url": "https://www.ycombinator.com/launches/Q3p-openwork-the-open-source-alternative-to-claude-cowork", "votes": 33, "created_at": "2026-04-23T23:20:48.418Z" } ] }, { "id": 31506, "name": "Tolmo", "slug": "tolmo", "former_names": [ "Droid Factory" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b1fe60a254c3f83e0d218298337418aad753714.png", "website": "https://www.tolmo.com", "all_locations": "San Francisco, CA, USA", "long_description": "Tolmo is an agent-driven security platform that secures every layer — code, CI, cloud applications at the speed of AI changes.\r\n\r\nCodebases are growing faster than ever, at a rate humans can’t keep up with. Tolmo deploys fleets of AI security agents on a live production knowledge graph that connects data from cloud services, containers, databases, and third-party providers (Observability, Security, etc.).\r\n\r\nTolmo agents triage, verify impact, and remediate security issues autonomously, escalating to humans only when truly necessary.", "one_liner": "Tolmo is the AI security platform that secures every layer of cloud…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1781726326, "tags": [ "DevSecOps", "Security", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tolmo", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/tolmo.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/tolmohq/", "x_url": "https://x.com/tolmhq", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/tolmo", "github_url": "https://github.com/tolmohq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8b1fe60a254c3f83e0d218298337418aad753714.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": 207041, "full_name": "Pierre Betouin", "title": "Founder/CEO", "founder_bio": "Pierre was leading security products at Datadog following the acquisition of Sqreen (W18) - a cybersecurity company providing a comprehensive security monitoring for cloud and web apps protecting over 800 customers in production.\n\nPierre previously spent 9 years at Apple, where he led the team in charge of security assessments for the Internet Services department, hacking products and designing protection.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pbetouin/", "x_url": "https://twitter.com/pbetouin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d773913accb3577e364f48d8247e9689aceedade.jpg" }, { "user_id": 3476457, "full_name": "Vladimir de Turckheim", "title": "Founder", "founder_bio": "Vladimir (Vlad) was a Staff Engineer working on security products at Datadog. He joined following the acquisition of Sqreen (W18) where he was employee #4 in charge of Node.js instrumentation. He was a Node.js core collaborator for five years and has setup the whole Node.js security program.\n\nHe is also the founder of Heal.dev.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vladimirdeturckheim/", "x_url": "https://x.com/poledesfetes", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25d9ce09a2a3f07ad97a622bed9a661b3710e706.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 103900, "title": "Tolmo: Secure your software shipped at Claude Code pace", "tagline": "Tolmo is your always-on fleet of security agents", "body": "Hi everyone! I'm Vlad, co-founder of **Tolmo**, along with Jean-Baptiste Aviat, Pierre Betouin, and Arnaud Breton.\n\n![uploaded image](/media/?type=post&id=103900&key=user_uploads/3476457/8df11a35-45e9-4f77-95d6-0c8bede1dc1a)\n\n\n**Tolmo is an agent-native security platform.** We deploy fleets of AI security agents that continuously identify, triage, and remediate security issues across every layer: code, CI, cloud, and even spec documents. All of that at the speed AI ships software.\n\n\n\n**Why now?** Production environments are growing faster than humans can review and secure them: 200+ PRs/engineer/week is no longer an outlier. The old security playbook (manual review, ticket queues, alert triage) is fundamentally broken at that pace. At the same time, attackers are using AI agents to break into systems faster than ever, and offensive tooling is being created faster than defensive tooling. Attacking infrastructure has never been cheaper or easier.\n\n**How it works:** Our agents reason over a live production knowledge graph connecting your cloud services, containers, databases, and third-party providers. They identify, triage, and remediate autonomously. Escalating to a human only when truly necessary.\n\n**Who we are:** We're the team behind Datadog's security products and Sqreen (YC W18). We secured thousands of organizations at Datadog, and we've seen firsthand that existing solutions won't keep up with the security challenges introduced by coding agents.\n\n**Join the waitlist: [https://app.tolmo.com/waitlist](https://app.tolmo.com/waitlist)**", "url": "https://www.ycombinator.com/launches/R1o-tolmo-secure-your-software-shipped-at-claude-code-pace", "votes": 7, "created_at": "2026-06-24T15:45:04.646Z" } ] }, { "id": 31507, "name": "ProjectX", "slug": "projectx", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f60ad803d2e9b0079d1a0e2e9afd248df7aafcd.png", "website": "https://www.projectx.cloud/", "all_locations": "San Francisco, CA, USA", "long_description": "Every computer ever made forces you to do one thing at a time. One cursor. One keyboard. One Hardware. One app in focus. Fifty years. Nobody questioned it.\r\n\r\nWe did. We started over.\r\n\r\nWe built InfinityOS, a fundamentally new computer OS on the cloud from ground up.\r\n\r\nInfinity runs every app in its own independent computer -- own GPU, own input, own environment. Windows and Linux in the same session. Humans and agents working side by side. No concurrency ceiling. Cold start in seconds. runs on the browser of any device..", "one_liner": "Agent native workspace for heavy parallel workflows on the web ", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1773453080, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/projectx", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/projectx.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/projectx-cloud", "x_url": "https://x.com/ProjectX_Cloud", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/project-x-6465", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2f60ad803d2e9b0079d1a0e2e9afd248df7aafcd.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": 2936820, "full_name": "Rounak Adhikary", "title": "Founder/CEO", "founder_bio": "Founder and CEO @ ProjectX | Stanford ASES | Draper U | IIT Bombay", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rounakadhikary/", "x_url": "https://x.com/Rounacc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b001ea45004927354ad2e247026e312fdcfc75f2.jpg" }, { "user_id": 2733173, "full_name": "Bishal Karmakar", "title": "Founder/CTO", "founder_bio": "Systems, streaming, and cloud infra. CTO@ProjectX, building infinity - a cloud-native operating system.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bishal-123-karmakar/", "x_url": "https://x.com/BishalK_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8f0a3edab06900fac90cd219baf4992ad45a1a6.jpg" }, { "user_id": 3419775, "full_name": "Sourya Majumder", "title": "Founder/COO", "founder_bio": "COO @ProjectX | Scaled an IT consulting team to ~120k MRR | Helping you run any application across any device just from a browser tab alongside Rounak and Bishal.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/souryapx", "x_url": "https://x.com/runallapps", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f6302c6470e65a0fd87048db31e633d1affc7c8b.jpg" } ], "jobs": [], "news": [ { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 04, 2026" }, { "title": "Meet Rounak Adhikary: Ashneer Grover once told him ‘Tu Baith Jaa Yaar’ and cut off his pitch mid-sentence; now he's living every startup founder's dream - The Times of India", "url": "https://timesofindia.indiatimes.com/life-style/people/meet-rounak-adhikary-ashneer-grover-once-told-him-tu-baith-jaa-yaar-and-cut-off-his-pitch-mid-sentence-now-hes-living-every-startup-founders-dream/articleshow/131419890.cms", "date": "May 31, 2026" }, { "title": "Lovely Professional University Student's Startup Receives Rs 1.7 Crore From Google Cloud", "url": "https://www.indiatimes.com/news/education/lovely-professional-university-students-startup-receives-rs-17-crore-from-google-cloud-624590.html", "date": "Mar 11, 2026" }, { "title": "LPU student's start-up to raise $3 million in seed funding - Digital Transformation News | The Financial Express", "url": "https://www.financialexpress.com/business/digital-transformation-lpu-students-start-up-to-raise-3-million-in-seed-funding-3352963/", "date": "Dec 29, 2023" }, { "title": "Google Cloud injects Rs 1.7 Cr into ProjectX.Cloud, eyes $3M funding | Startup Story", "url": "https://startupstorymedia.com/insights-google-cloud-injects-rs-1-7-cr-into-projectx-cloud-eyes-3m-funding/", "date": "Dec 29, 2023" } ], "launches": [ { "id": 102024, "title": "Infinity — A New Computation Layer", "tagline": "Months of work, done in days. Every app gets its own GPU, in one browser tab.", "body": "Hey YC 👋\n\nWe're Rounak, Bishal & Sourya — co-founders of ProjectX (P26). Today we're launching Infinity.\n\n\\[\\]\n\n### TL;DR\n\n**Infinity is a new computation layer — a web-based OS where every app you open runs on its own independent compute and GPU, inside one shared workspace.** Open Blender, Unreal, Isaac Sim, DaVinci, VS Code in the same browser tab. Each app is its own machine with its own GPU. They share one filesystem and one terminal. Windows and Linux apps run side by side. Runs on any browser, on any device. Open fifty apps at once — nothing slows down.\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/28491e87-8d68-4bd0-b0ea-860d2d7d1825)\n\n### Problem\n\nThe apps people actually use to build the future — Blender, Unreal, Isaac Sim, Houdini, the CAD/CAM/CAE stack, ML pipelines — still need a $5K workstation under your desk. The cloud was supposed to fix this and didn't. Renting a cloud GPU means hours of driver installs, version matching, container debugging before you do any actual work. Streamed desktops (Citrix, Paperspace, Shadow) give you one VM with one GPU — built for one user running one app at a time. Open Blender and Unreal at the same time and you're fighting yourself for resources.\n\nIt's hitting agents too. Claude Cowork runs on your laptop, sharing your GPU with everything else. Manus runs in a CPU-bound microVM that can't open heavy apps at all. Claude can drive Blender via MCP, but Blender still runs on your machine — the agent just borrows your compute.\n\n### Solution\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/281d546a-52f7-4932-b92e-30608f83f249)\n\nInfinity makes every app its own computer.\n\nOpen Blender, you get a machine with a dedicated GPU. Open Unreal in the next window, that's a second machine with its own GPU. Open Isaac Sim, that's a third. They share a filesystem and a terminal so the workspace feels like one computer, but underneath they're independent machines. Open fifty apps, you have fifty machines. Nothing slows down. Runs entirely in a browser tab — Chromebook, iPad, five-year-old laptop, doesn't matter.\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/971299ab-663b-4181-ae7e-64ed286ecda2)\n\n\\\nEvery Infinity workspace comes will soon ship with a built-in computer use agent that can access run applications without being constrained by compute, no matter how many applications you run or how heavy the workflow is. Tell it what you want, and it spins up the apps, drives them, hands files between them, and finishes the work. You can drive Infinity with a mouse and keyboard, or you can drive it with a prompt.\n\nA concrete example. You prompt: _\"Make a 90-second product launch video. Write the script, generate the voiceover, edit in DaVinci, render the 3D logo in Blender, post to YouTube.\"_\n\nSix apps spin up at once:\n\n* Claude writes the script\n* ElevenLabs generates the voiceover\n* DaVinci Resolve edits the cut\n* Blender renders the 3D logo\n* Chrome uploads to YouTube\n* VS Code writes the publish script\n\n![uploaded image](/media/?type=post&id=102024&key=user_uploads/2936820/fc66db17-d35b-4f3d-8459-cec58a4cebc2)\n\nThey share a workspace. They hand files to each other. **One finished video in an hour, not three days.**\n\n### Where we are — 15 days in early preview \n\n* **20,000+ builders** signed up\n* **1,160% growth** in the last 14 days\n* **20M+ impressions** on X and Instagram\n* **10,000+ signups** in the last 7 days\n* **Out of server capacity** — rate-limiting new signups while we scale\n\nUsed by engineers at **Reliance Industries, CEMEX, Cognizant, Globant, Ola Electric, Lattice, Quizizz, Appsmith, Bonsai Robotics, Induction Labs, Basis Robotics**, and 130+ more teams. All inbound. Our first public demo crashed our servers at midnight; we scaled the infra live at 3am and woke up to inbound from 50+ enterprises.\n\n### Future\n\nOnce every app has its own compute, agents stop being a separate problem.\n\nA computer-use agent is just another app — except the agent drives itself. Because every agent gets its own machine on Infinity, ten agents work in parallel without stepping on each other. The thing that's impossible today — ten parallel cursors, ten parallel renders, ten parallel models — is the default on Infinity.\n\nWe're shipping the multi-agent runtime next. One prompt, a mother agent plans and coordinates, child agents execute on dedicated hardware — each routing through Claude, GPT, Gemini, or any MCP tool. Same substrate humans use, given to agents.\n\n### Ask\n\nIf you are, or know any of the following, we want to hear from you:\n\n**Heavy-GPU teams.** Robotics, Physical AI, 3D/VFX, ML, post-production, CAD/CAM/CAE. If you're buying workstations or wrestling with cloud GPU setup, let's talk.\n\n**Agent builders.** If you're shipping a computer-use agent and hitting the \"where does this actually run\" wall, we should talk early.\n\nFree Infinity credits for all YC founders and alums. Email me directly: [rounak@projectx.cloud](mailto:rounak@projectx.cloud)\n\n— Rounak, Bishal & Sourya", "url": "https://www.ycombinator.com/launches/QXY-infinity-a-new-computation-layer", "votes": 10, "created_at": "2026-05-27T20:06:30.702Z" } ] }, { "id": 31510, "name": "Auxos", "slug": "auxos", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e35e07f61bc16ff060889081c97809a3aad66df5.png", "website": "https://www.useauxos.com", "all_locations": "San Francisco, CA, USA", "long_description": "Auxos builds AI customer twins for marketing, product, and research teams to test their hypotheses at scale. We work with companies to create 1:1 replicas of their customers by sourcing and interviewing real people in their ICP, allowing us to accurately model how they behave and make decisions. \r\n\r\nCurrently, market research is too slow and expensive to use on anything but the biggest decisions. Surveys and panels cost a fortune and it takes weeks to recruit, moderate, and gather insights. \r\n\r\nAuxos provides a 24/7 available customer panel that can give population-scale insights in minutes. The day-to-day decisions surrounding product, pricing, and positioning can now be validated with the same rigor that used to be reserved for the big ones. \r\n", "one_liner": "Simulations of real people for market research ", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778707730, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/auxos", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/auxos.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/auxos", "x_url": "https://x.com/UseAuxos", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e35e07f61bc16ff060889081c97809a3aad66df5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2ac2ed9b007b69928f2833d642ec2f7940302014.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1361732, "full_name": "Ashton Daniel", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Auxos, Simulate every decision before it reaches a real customer\n\nBefore Auxos, I was a consultant at BCG working on Agentic AI deployments for Fortune 500 companies, where I ran customer research surveys, panels, and interviews and watched them spend a fortune for insights. Previously studied CS at Columbia University.\n\nIndividual NCAA Fencing Champion for Columbia University, ranked #1 in the nation, part of Team USA ranked #1 in the world.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ashton-daniel", "x_url": "https://x.com/TheAshtonDaniel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fdbfd3341eabaeab2508d71ac16d435da49a4629.jpg" }, { "user_id": 2092684, "full_name": "Jerry Wu", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO @ Auxos, Simulate every decision before it reaches a real customer\n\nBefore Auxos, I was a senior software engineer at Meta and Instagram where I built the infra for models powering Instagram reels, ads, and Facebook feed, resulting in $100M+ of incremental revenue per year. There, I witnessed how waiting for A/B testing results became the bottleneck in the product development lifecycle. \n\nFenced for Team USA. CS major and Division 1 athlete at UPenn. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jerrywuprofile/", "x_url": "https://x.com/jwoobers", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b646a2507176cf3b369b2bac0daa4784ae3306c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101309, "title": "Auxos: Simulate every decision before it reaches a real customer", "tagline": "AI customer clones for marketing, product, and research teams to test their hypotheses at scale.", "body": "**TL;DR**\n\n**Auxos creates AI customer clones for marketing, product, and research teams to test their hypotheses at scale.** We work with companies to create 1:1 replicas of their customers by sourcing and interviewing real people in their ICP, allowing us to accurately model how they behave and make decisions.\n\n\n\n### **The Problem**\n\nCurrently, market research is slow and expensive. Surveys and panels cost a fortune and it takes weeks to recruit, moderate, and gather insights.\n\nA price change that lowers sales? An ad campaign that doesn't resonate? A website that doesn't convert? These aren't small mistakes. They cost millions.\n\n### **Our Solution: Simulate every decision at scale before it reaches a real customer**\n\nRun a Simulation: Teams can now test any hypothesis in minutes by simply selecting their specific audience, adding the decision they want to test—an ad creative, landing page, or pricing change—and then watching the simulation run.\n\nResults: They can see both the quantitative results showing what their audience prefers, as well as the qualitative commentary explaining why. They can even pull out specific people or segments to drill down further.\n\nInstead of waiting weeks and spending millions on traditional methods, Auxos can get you population scale insights within minutes, at a fraction of the cost.\\\n\\\n**Our mission is to make market research fast, affordable, and accessible.** \n\n### **The Team**\n\nWe met each other fencing for Team USA and have known each other for 15 years. We all individually experienced the pain of slow market research.\n\n**Ashton (CEO)** ran surveys, panels, and interviews for F500 companies while doing Agentic AI transformations and PE due diligence at BCG, watching them wait weeks and spend a fortune. Ashton previously was a CS major at Columbia University.\n\n**Jerry (CPO)** witnessed how waiting for A/B testing results became the bottleneck in the product development lifecycle at Instagram. Jerry previously was a CS major at the University of Pennsylvania.\n\n**Kerry (CTO)** simulated market behavior for 40% of US ecommerce at Amazon Ads. Kerry previously was a CS and math major at Duke University.\n\n![uploaded image](/media/?type=post&id=101309&key=user_uploads/1361732/b931a953-8709-4d58-9a04-fe4e4e8e5680)\n\n### **Ask**\n\nIf you're on a marketing, product, or customer research team that's spending tens of thousands on research every month, or if you're a team that wants to do research but doesn't have the budget for traditional methods, we'd love to talk to you. \n\nBook a demo to see it in action: , or contact us directly at [ashton@useauxos.com](mailto:ashton@useauxos.com).", "url": "https://www.ycombinator.com/launches/QM1-auxos-simulate-every-decision-before-it-reaches-a-real-customer", "votes": 20, "created_at": "2026-05-14T00:50:59.652Z" } ] }, { "id": 31511, "name": "Arzana", "slug": "arzana", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4785fcf24308f1fcad59fe3eda9fea668524c25f.png", "website": "https://www.arzana.com/", "all_locations": "New York City, NY, USA", "long_description": "Arzana trains custom models on manufacturers' operational data to automate their quoting, order entry, invoicing, and other repetitive office work. We've saved our customers over $1.5M in avoided staff costs.\r\n\r\nIn the future, we'll expand into shop-floor automation, sending instructions to machinery and robots to produce the orders that our office agents processed. By 2035, we aim to fully automate 10,000 American factories.", "one_liner": "Adaptive AI built for manufacturers", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1773098013, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arzana", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arzana.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arzana-ai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4785fcf24308f1fcad59fe3eda9fea668524c25f.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": 3186832, "full_name": "William Alexander", "title": "Founder/CEO", "founder_bio": "Manufacturing nerd from Iowa. Stanford Econ + CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/william--alexander/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/521d48dc5e6d373212de8614e6916625ab7c1da1.jpg" }, { "user_id": 2656564, "full_name": "Marshall Kools", "title": "Founder/COO", "founder_bio": "Co-founder & COO, Arzana | Stanford MS Engineering + Policy | D1 Wrestler", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marshallkools/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6616f5678859837efa4dfd12692dd0048aaee4df.jpg" } ], "jobs": [], "news": [ { "title": "These A.I. Dreamers Don’t Fit the Stereotype - The New York Times", "url": "https://www.nytimes.com/2026/02/08/style/ai-tech-san-francisco.html", "date": "Feb 08, 2026" } ], "launches": [ { "id": 99912, "title": "Arzana – AI Office Automation for Manufacturers", "tagline": "Arzana is automating the factory office with AI.", "body": "Arzana is automating the factory office with AI.\\\n\\\n\n\nAmerican manufacturers waste billions on office staff dedicated to keying in orders, building quotes, and chasing invoices.\n\nAnd when their salespeople get roped into the mess, growth efforts grind to a halt.\n\nArzana automates this repetitive office work with a suite of custom AI Agents that integrate with existing email, ERP, and other systems and handle order entry, quoting, and other mundane tasks.\n\nThe most innovative manufacturers in the country are already using Arzana to process quotes and orders 10x faster, make 70% fewer data-entry errors, and save millions of dollars each year.\n\n[arzana.com](http://arzana.com) | [william@arzana.com](mailto:william@arzana.com) & [marshall@arzana.com](mailto:marshall@arzana.com)\n\n\\-- Marshall and William, Arzana (YC P26)", "url": "https://www.ycombinator.com/launches/PzU-arzana-ai-office-automation-for-manufacturers", "votes": 25, "created_at": "2026-04-20T16:57:09.114Z" } ] }, { "id": 31512, "name": "Aernata", "slug": "aernata", "former_names": [ "Pentagon" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.png", "website": "https://aernata.com", "all_locations": "San Francisco, CA, USA", "long_description": "Aernata is an American chemicals company producing clean fuel from industrial emissions.\r\n\r\nWe're starting by converting CO2 to methanol for synthetic fuel production.", "one_liner": "Making clean methanol out of CO2.", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1775312221, "tags": [ "Carbon Capture and Removal", "Alternative Fuels", "Climate", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/aernata", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/aernata.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/aernata", "x_url": "https://x.com/aernata", "fb_url": null, "cb_url": null, "github_url": "https://github.com/aernata", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ab4158325222f50847060cb687cc1b6c81e65dbc.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": 402484, "full_name": "Edgar Pavlovsky", "title": "Founder", "founder_bio": "Founder @ Aernata (P26) - an American chemicals company producing clean fuel from industrial emissions.\n\nPreviously founded: marginfi (DeFi lending on Solana), mtndao (Solana's largest builder community), a trading firm & a logistics SaaS.\n\nBefore that: Uber, Goldman Sachs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgarpavlovsky/", "x_url": "https://x.com/edgarpavlovsky", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b30edf88abaa421a8619ecae8211bf532982bbb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101681, "title": "Pentagon - A coordination layer for humans and agents.", "tagline": "A new kind of team: humans and agents, working together.", "body": "Hey YC! I'm [Edgar](https://www.linkedin.com/in/edgarpavlovsky/), building [Pentagon](https://pentagon.run).\n\n**TL;DR** Agents are everywhere but they don't have good ways to work together, so humans become the coordination bottleneck. Pentagon is a coordination layer where your agents communicate autonomously, coordinate on tasks, and get work done as a team.\n\n**Book a demo and see it in action:** \\\n**Our launch video:** \n\n**Problem**\n\nAgents are increasingly becoming AI teammates at work - coding, researching, ops, even talking to customers. But they work alone. Coordination is the bottleneck, and it shows up differently depending on where you sit:\n\n* **Small teams** are spinning up agents from scratch and immediately hitting the ceiling: each one is powerful on its own, but getting them to actually work together means you're back in the loop, copy/pasting between terminals.\n* **Enterprises** already have agents running everywhere across the org. The hard part is figuring out what they're doing, how they fit together, and how to keep track of it all.\n\nUnderneath both: humans are the middleware. Hours of human time burnt doing work meant for a mechanical turk. Today's tools weren't built for this - AI products are conversational and non-deterministic, and reproducing workflows is harder than ever.\n\n**Org code**\n\nThere's a deeper layer to this. Great teams are built for the moment - the right team depends on the problem at hand, the resources you have, and even who's leading. This applies to agents the same as it does to humans: every problem has its own org structure.\n\nAndrej Karpathy calls it \"org code\" - and points out that compared to classical orgs, agentic codes have powerful new properties: they’re reproducible and more transparent. We think that agents also allow organizations to be much more dynamic: they can adapt to problems in realtime, and open a new dimension of what it means to build a productive organization.\n\nFrom [a popular Karpathy tweet](https://x.com/karpathy/status/2031767720933634100):\n\n![Image](https://pbs.twimg.com/media/HIts8HMaIAAKjok?format=jpg&name=medium)\n\n**Our first solution: Pentagon Studio**\n\nPentagon's mission is to build the coordination layer for humans and agents. We're starting with Pentagon Studio - a workspace designed to feel familiar to existing alternatives and shepherd companies into a new kind of collaborative work.\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/286ecb28-a420-4390-81cf-f1c1b181ec5c)\n\nIn Pentagon Studio, you define your org structure and your agents run it. Agents live on a spatial canvas and pop up sticky notes with status updates - you see who's active, idle, or blocked at a glance. They message each other, delegate tasks, share context, and build self-evolving memory over time. As the human, your job is to design and manage the team; they do the coordination.\n\n* **Spatial canvas.** Agents live on infinite canvases you can think of like an office. Zoom in on one agent's conversation, zoom out to see the whole operation. The \"org IDE.\"\n* **Autonomous coordination.** Realtime, event-driven communication between agents - no expensive polling loops. Agents take feedback from you, ping another agent to get work done, then ping you when they need you.\n* **Agent persistence.** Agents maintain sessions indefinitely and compound institutional knowledge over time. Tribal knowledge for your agent team.\n* **Shared skills & tools.** Manage capabilities at individual, team, workspace, or org level. Each agent inherits based on hierarchy.\n* **Human multiplayer + human-in-the-loop.** In contrast to \"zero-human company\" angles, we see humans and agents collaborating across shared orgs. Your agents should be able to work with your coworkers' agents.\n\n**Why now**\n\nAgents are already inside companies. The infrastructure to coordinate them isn't. Every day this gap stays open, humans burn hours doing work meant for a mechanical turk and leaders lose transparency into how work actually gets done.\n\nWe believe the best version of the future is one where superintelligent agents are viewed as teammates and we work with them as partners. Every company already knows how to work with coworkers - agents fit into existing organizational frameworks better than we've been giving them credit for. They just need the infrastructure to coordinate.\n\n**Ask**\n\nIf you're running agentic workflows in production and struggling to manage them, we’d love to chat. See Pentagon Studio in action and book a demo with us at or reach out to me personally, and let’s evolve your team: [edgar@pentagon.run](mailto:edgar@pentagon.run).\n\n![uploaded image](/media/?type=post&id=101681&key=user_uploads/402484/eb375bb3-1851-449f-9953-0daea8bee1b2)\n\n", "url": "https://www.ycombinator.com/launches/QS1-pentagon-a-coordination-layer-for-humans-and-agents", "votes": 12, "created_at": "2026-05-20T23:57:21.091Z" } ] }, { "id": 31513, "name": "CharacterQuilt", "slug": "characterquilt", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35883346a2e401f4b3b0ca990dda1b700900858b.png", "website": "https://characterquilt.com", "all_locations": "San Francisco, CA, USA", "long_description": "CharacterQuilt builds computer use agents to deploy enterprise marketing campaigns. \r\n\r\nMarketers today don’t actually do much marketing at all.\r\n\r\nToday, over 80% of time spent on launching a marketing campaign is actually ops work: tweaking automation flows in Pardot, configuring audiences in LinkedIn, or wiring HTML emails in Marketo. \r\n\r\nWhat’s crazy about enterprise marketing is companies pay agencies millions of dollars just to deploy campaigns in their systems — and they still have to wait weeks for each one.\r\n\r\nCharacterQuilt is AI infrastructure for marketing teams: a brain that learns your brand, and agents that operate your existing tools. Marketing campaigns that used to take 3 agencies, 10 tools, and 6 weeks are now being built, designed, and deployed from CQ in an hour.\r\n\r\nCustomers submit a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns.\r\n\r\nTeams like 1upHealth, ABC Fitness, and Emplifi use us to:\r\n\r\n1-) Build segments/audiences faster\r\n2-) Create on-brand creative (AI is terrible at staying on-brand)\r\n3-) Deploy campaigns automatically into HubSpot, WordPress, LinkedIn etc. \r\n\r\nWe replicate your brand guidelines, deeply understand past campaigns, and work inside your systems.\r\n\r\nIf you run demand gen or lifecycle at a B2B/B2C company and want to ship campaigns faster, send us a brief and we’ll build it in 15 minutes.\r\n", "one_liner": "Computer use agents to deploy enterprise marketing campaigns", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1778455015, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/characterquilt", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/characterquilt.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/characterquilt", "x_url": "", "fb_url": null, "cb_url": "n/a", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35883346a2e401f4b3b0ca990dda1b700900858b.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": 438433, "full_name": "Bhairav Mehta", "title": "Founder/CEO", "founder_bio": "CEO and co-founder at CharacterQuilt: Computer-use agents to deploy enterprise marketing campaigns\n\n2x YC Founder, MIT, Mila, NVIDIA", "is_active": true, "linkedin_url": "https://linkedin.com/in/bhairav-mehta", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/770566c2202712ce98357079473207f21abaec27.jpg" }, { "user_id": 1701868, "full_name": "Clint Burgess", "title": "Founder/CMO", "founder_bio": "Co-founder at CharacterQuilt: computer-use agents to deploy enterprise marketing campaigns\n\nHave done all the GTM jobs from SDR->Sales->Marketing. Spent 10 years at Bloomreach running GTM. Now run sales and marketing for CharacterQuilt. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/clintburgess", "x_url": "https://x.com/ClintVanBurgess", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d185edec24a33db0fbcdc6144c36c3fe1c1f4fef.jpg" } ], "jobs": [ { "id": 100469, "title": "Senior Software Engineer, Agent Infrastructure and Reliability", "url": "https://www.ycombinator.com/companies/characterquilt/jobs/yCogh5G-senior-software-engineer-agent-infrastructure-and-reliability", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$175K - $200K", "equity_range": "0.50% - 2.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Distributed Systems" ] }, { "id": 100471, "title": "Staff Software Engineer, Agent Systems and Product Quality", "url": "https://www.ycombinator.com/companies/characterquilt/jobs/vQ6nRar-staff-software-engineer-agent-systems-and-product-quality", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$250K - $350K", "equity_range": "0.50% - 3.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Evals" ] }, { "id": 100472, "title": "Go-to-Market Engineer", "url": "https://www.ycombinator.com/companies/characterquilt/jobs/NkPK05W-go-to-market-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Data Analytics" ] } ], "news": [], "launches": [ { "id": 101163, "title": "CharacterQuilt: AI infrastructure for marketers", "tagline": "Ship campaigns across your marketing stack in an hour", "body": "Marketers today don’t actually do much marketing at all.\n\nOver 80% of time spent on launching a marketing campaign is actually ops work: tweaking automation flows in Pardot, configuring audiences in LinkedIn, or wiring HTML emails in Marketo. \n\nCharacterQuilt is AI infrastructure for marketing teams: a brain that learns your brand, and agents that operate your existing tools. Marketing campaigns that used to take 3 agencies, 10 tools, and 6 weeks are now being built, designed, and deployed from CQ in an hour.\n\nCustomers submit a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns.\n\nTeams like 1upHealth, ABC Fitness, and Emplifi use us to:\n\n* Build segments/audiences from messy CRM data faster\n* Create on-brand creative (AI is terrible at staying on-brand)\n* Deploy campaigns automatically into HubSpot, WordPress, LinkedIn etc.\n\nIn other words, CharacterQuilt is for marketers who want to get stuff 100% done, “done done”, not stuck on creative assets or clicking all the buttons in Hubspot. ⬇️\n\n \n\nBhairav did AI research at NASA, NVIDIA, and MIT. I ran growth at Bloomreach for a decade. We built CharacterQuilt by running a full stack marketing agency first, then building agents to do the work faster.\n\nCustomers work with us by submitting a brief like they would send to a human teammate or marketing agency, and they get back fully designed and deployed campaigns. \n\nIf you run demand gen or lifecycle at a B2B/B2C company and want to ship campaigns faster, send us a brief and we’ll build it in 15 minutes.\n\n![uploaded image](/media/?type=post&id=101163&key=user_uploads/438433/f6aa2dda-4a07-4b4c-8a13-f229fc3040a4)\n\n", "url": "https://www.ycombinator.com/launches/QJf-characterquilt-ai-infrastructure-for-marketers", "votes": 10, "created_at": "2026-05-11T04:43:24.984Z" } ] }, { "id": 31516, "name": "Expanse", "slug": "expanse", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/af6cfe1f95da6fb2bfc1789fb605ed70b77da3b4.png", "website": "https://expanse.sh", "all_locations": "London, England, United Kingdom", "long_description": "Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time).\r\n\r\nWe’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.", "one_liner": "Unlock wasted GPU capacity.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777849866, "tags": [ "Deep Learning", "B2B", "Infrastructure", "ML" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/expanse", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/expanse.json", "year_founded": 2025, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/expanse-compute", "x_url": "https://x.com/ExpanseCompute", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/expanse", "github_url": "https://github.com/expanse-labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/af6cfe1f95da6fb2bfc1789fb605ed70b77da3b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1a2d766656b058e3ae5a7333ccf58b05bb9d8689.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 3381342, "full_name": "Ismaeel Bashir", "title": "Founder/CEO", "founder_bio": "Ismaeel is co-founder and CEO of Expanse. Built the first multimodal HPC resource predictor at EPCC (Edinburgh’s Parallel Computing Centre), beating every published baseline. Previously: ran large scale ML models at one of the world’s largest quantitative funds (QRT). Studied Computer Science at the University of Edinburgh.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ismaeel-bashir/", "x_url": "https://x.com/ismaeel_bashir_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3c4fa6230901fda37ce33a006271ece271e5e9e8.jpg" }, { "user_id": 3409042, "full_name": "Nikodem Bieniek", "title": "Founder", "founder_bio": "Nikodem is co-founder and CTO of Expanse. Trained and optimised speech recognition models on GPU clusters. Previously: managed the platforms researchers and engineers depended on at one of the world’s largest hedge funds (Millennium). Studied Computer Science at the University of Edinburgh.", "is_active": true, "linkedin_url": "https://linkedin.com/in/nikodemb/", "x_url": "https://x.com/nkdem_b", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2d55059ebf4b59335ad292b3cc38a1e9d667650.jpg" }, { "user_id": 3409418, "full_name": "Yafet Melake", "title": "Founder", "founder_bio": "Yafet is co-founder and COO of Expanse. Built the first GNN-based cluster graph network for predicting SLURM queue wait times at EPCC (Edinburgh’s Parallel Computing Centre). Previously: tooling and infrastructure for researchers at one of the world’s largest quantitative funds (G-Research). Studied Computer Science at the University of Edinburgh.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yafet-melake", "x_url": "https://x.com/yafet_melake", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/db8ab1acbb09fe838ce4d380889c7d1c27bf0975.jpg" }, { "user_id": 2274795, "full_name": "Eren Mendi", "title": "Founder", "founder_bio": "Eren is co-founder and CPO of Expanse. Built state-of-the-art decentralised foundation model training systems and performance models. Previously: prototyped emerging technologies in quantitative finance (G-Research). Studied Computer Science at the University of Edinburgh and Imperial College London.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/eren-mendi-929b55138", "x_url": "https://x.com/erenzmendi03", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/af898412d2d555432b879560ffcdfde4fbb3e53a.jpg" } ], "jobs": [], "news": [ { "title": "Why we started Expanse, and our $5.3M seed · Expanse Blog", "url": "https://expanse.sh/blog/expanse-raises-5-3m-seed", "date": "Sep 16, 2026" }, { "title": "What Y Combinator's Latest Batch Reveals About The Future", "url": "https://www.forbes.com/sites/dariashunina/2026/06/04/what-y-combinators-latest-batch-reveals-about-the-future/", "date": "Jun 08, 2026" } ], "launches": [ { "id": 100703, "title": "Expanse - Unlock wasted GPU capacity", "tagline": "Unlock wasted GPU capacity.", "body": "**TL;DR**\n\nExpanse unlocks wasted GPU capacity. We’re the intelligence layer for compute infrastructure. Submit jobs with the right resources. Optimise them to run faster. Debug failures in seconds, not days. Works on cloud and on-prem HPC.\n\nWant to know how much more you can get out of your hardware? Schedule a call: \n\n**Problem**\n\nRunning compute on a cluster means guessing memory, time, and GPUs before you submit. Get it wrong and your job fails mid-run. Over-guess and you pay for compute you never use. 30% of cloud spend is lost to over-allocation \\[1\\]. Microsoft Research found their own deep learning jobs hit 50% GPU utilisation or lower \\[2\\].\n\nSizing jobs takes decades of experience. Memory patterns, batching, GPU threading, CPU vectorisation. AI agents don’t have enough information to fix it either. SLURM and Kubernetes don’t expose enough structured data. Even strong platform teams are forced to choose: spend time debugging and optimising every job, or accept the waste. AI infrastructure spending will hit $2.52 trillion in 2026 \\[3\\]. The waste grows with every new cluster. This problem isn’t going away.\n\n**Solution**\n\nExpanse learns your cluster. We analyse your code and hardware telemetry, then track them over time. Our deep learning models build a picture of what your workloads actually need. Predictions get sharper with every job.\n\nOur models are deployed on your cluster. All analysis runs on your network. Your code and telemetry never leave your infrastructure. We can’t see your data, and you maintain full data sovereignty.\n\nOne command installs Expanse on your cluster. You get two tools.\n\n`expanse analyse` - for every job:\n\n* **Suggests the right resource configuration**\n* **Predicts failures from historical code and telemetry patterns**\n* **Surfaces code-level optimisations that increase efficiency**\n\n`expanse diagnose` - for every failure:\n\n* **Finds the root cause**\n* **Returns solution-oriented logs with the exact code and config changes to fix it**\n\nDays of debugging and optimising become seconds. Platform teams get what they need to do this in minutes instead of weeks.\n\n**Founders**\n\nWe're four engineers from the University of Edinburgh, all coming from top quant funds and national supercomputing centres. Ismaeel built the first multimodal HPC resource predictor at EPCC (Edinburgh's Parallel Computing Centre), beating every published baseline. Yafet built the first GNN cluster graph network for predicting SLURM queue wait times. Eren built decentralised foundation model training systems at Edinburgh. Niko trained large-scale speech ML models on GPU clusters and architected cloud and Kubernetes infrastructure at one of the largest hedge funds in the world. We left our jobs to fix this ourselves.\n\n**CTA / Ask**\n\nRunning compute and not getting enough out of what you’re paying for? Failing jobs, unclear errors, bills too high? We’d love to chat.\n\nKnow anyone in AI infrastructure (managing cloud and/or on-premise data centres), quant finance, drug discovery, or AI research labs? An intro would mean a lot :)\n\n**YC Deal**\n\nAll YC companies running serious ML training can contact us for a discounted pilot. We’ll find inefficiencies and wastage on your compute setup. Then we deploy Expanse, no changes to your workflows. You get more out of the hardware you’re paying for.\n\nReach out: [founders@expanse.sh](mailto:founders@expanse.sh) or \n\nReferences\n\n\\[1\\] \n\n\\[2\\] \n\n\\[3\\] ", "url": "https://www.ycombinator.com/launches/QCF-expanse-unlock-wasted-gpu-capacity", "votes": 53, "created_at": "2026-05-04T04:30:18.506Z" } ] }, { "id": 31517, "name": "YouArt", "slug": "youart", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7bf5ef49531e304338226fa7947782386f95b91.png", "website": "https://youart.ai", "all_locations": "San Francisco, CA, USA", "long_description": "YouArt helps storytellers create AI originals using our industry-leading video agent, launch their original concepts, get funded directly by early fans, and earn from their audience.", "one_liner": "Patreon for AI Originals", "team_size": 3, "industry": "Consumer", "subindustry": "Consumer -> Content", "launched_at": 1777676428, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "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/youart", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/youart.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/youart/", "x_url": "https://x.com/YouArtStudio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7bf5ef49531e304338226fa7947782386f95b91.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": 1404079, "full_name": "Harry Zheng", "title": "Founder/CEO", "founder_bio": "Co-founder of YouArt, Patreon for AI originals\nEx-Google, Ex-Tiktok, found and grew Tiktok Shop Ads from 0 to 100 million, ex-cofounder of Speaking AI, top TTS Model.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/harry-zheng-bbb847105/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/65832294518cbdf6b0c50472f84a2a92246a995e.jpg" }, { "user_id": 3409877, "full_name": "Edward Ma", "title": "Founder/CTO", "founder_bio": "Co-founder of YouArt. Founding MLE on TikTok and DoorDash ads teams, scaling multiple products from $0 to $100M+ annual revenue. AI researcher with 1,500+ citations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ed-m-aigc/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/99d51b79ad18d43975ca6fc5b4c3900ec010567e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101354, "title": "YouArt - Patreon for AI originals", "tagline": "YouArt empowers storytellers to create AI films and series with video agent, get funded by their fans, and earn subscription revenue.", "body": "**TL;DR**\n\nYouArt empowers storytellers to create AI films and series with video agent, get funded by their fans, and earn subscription revenue.\n\n\n\n**Traction**\n\nSince launching earlier this year, YouArt has grown from $0 to over $120K in monthly revenue in 5 months, driven by strong organic demand from AI creators, studios, and storytellers.\n\n**The Problem**\n\nFor decades, high-quality visual storytelling was a privilege reserved for Hollywood. To create an original film or TV series, creators needed months of pitching, millions of dollars in funding, a massive production team, and approval from traditional gatekeepers.\n\nAI has completely shattered this barrier. Today, anyone with a great idea can generate cinematic worlds right from their laptop. But this democratization has exposed a massive new gap: AI storytellers have the tools to make a film, but no system to fund it or make a living.\n\nSpecifically, AI creators face two glaring problems today:\n\n1. The Missing Funding Gap: While AI makes production exponentially cheaper, it is not free. Rendering a high-quality, full-length AI TV series or indie film still costs around $50,000 (generation tokens), voice acting, and post-production. Independent creators simply don't have the upfront capital to fund this.\n2. Zero IP Monetization: Even if they manage to produce the content, there is no dedicated monetization ecosystem. Creators are forced to rely on YouTube or TikTok ad algorithms, which reward short-form viral clips rather than premium, long-form storytelling. They have no way to build a brand, sell private content, or capture the true value of their IP.\n\n**Our Solution**\n\nYouArt bridges this gap. We are replacing the traditional Hollywood pipeline with YouArt.\n\nHere is how we do it:\n\n* Production : We provide an industry-leading AI video agent natively integrated into our platform. Creators can quickly bring their ideas to life, seamlessly turning scripts into stunning visual concepts and trailers without leaving the workspace.\n\n ![uploaded image](/media/?type=post&id=101354&key=user_uploads/1404079/95eb3c2d-8846-4e01-8221-00e3673c7507)\n\n* Crowdfunding: Creators don't need to pitch to studio executives anymore. They can launch their AI-generated trailers directly on YouArt to crowdfund support from early believers. Fans provide the crucial capital (that missing $50K) needed to render the full series.\n* Distribution & Fan Economy: We give creators their own private domain to build a brand. Instead of fighting algorithms for ad pennies, creators can offer monthly subscriptions, sell exclusive/private content, and directly monetize their IP. We provide the infrastructure for a true fan economy, where creators own their audience and build sustainable, recurring revenue.\n\n ![uploaded image](/media/?type=post&id=101354&key=user_uploads/1404079/4ea327d2-f66d-4ae1-88ea-226b7170862b)\n\n\n**Our Ask**\n\n* Know a creator? If you know any indie creators, animators, or storytellers who have the ambition to build their own franchise but lack funding or platform, please introduce them to us at [harry@youart.ai](mailto:harry@youart.ai).\n* Try it yourself: We invite you to explore the platform and see what the next generation of storytelling looks like. Try it out at .", "url": "https://www.ycombinator.com/launches/QMk-youart-patreon-for-ai-originals", "votes": 12, "created_at": "2026-05-14T14:59:03.195Z" } ] }, { "id": 31518, "name": "Runtime", "slug": "runtime", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fb7d11f60217eaded2ae0e96dbee3bf9ebcd68c.png", "website": "https://www.runtm.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Runtime helps fast-growing fintechs build and run AI agents for mission-critical payment and risk operations. Teams turn their procedures into specialized agents that work across their systems, with scoped access, human approvals, and a full audit trail.", "one_liner": "The AI agent harness for payment teams", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1773951001, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/runtime", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/runtime.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/runtm/", "x_url": "https://x.com/gustrigos", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fb7d11f60217eaded2ae0e96dbee3bf9ebcd68c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/5c4bd8b8b61ed879878ec1bb80f7197c4552d0a4.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 362619, "full_name": "Gus Trigos", "title": "Founder/CEO", "founder_bio": "Gus Trigos is CEO and co-founder of Runtime, the agent harness for payment and risk teams. Runtime powers some of the fastest-growing fintechs in the world like Rain and Finix. He's a two-time YC founder, previously co-founding Mentum (acquired by Nuvocargo), and started his career as a quant at BlackRock's AI Quantitative Investment Group.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gustavoatrigos", "x_url": "https://x.com/gustrigos", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf928bc9a21c54bc88545f7fea037f277cd21787.jpg" }, { "user_id": 952396, "full_name": "Carlos Volante", "title": "Founder", "founder_bio": "Carlos is the co-founder and CTO of Runtime, with a track record of scaling high-volume financial infrastructure at Modern Treasury, Finix, and Hulu. His experience spans billions in transaction volume, near-perfect uptime, and billing systems for tens of millions of users.", "is_active": true, "linkedin_url": "https://linkedin.com/in/carlos-volante-49bb86145", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/58329061d5913f1b6b1a093f6665840cdd4c3dbf.jpg" } ], "jobs": [ { "id": 114062, "title": "Forward Deployed AI Engineer", "url": "https://www.ycombinator.com/companies/runtime/jobs/exm704T-forward-deployed-ai-engineer", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$100K - $200K", "equity_range": "0.25% - 1.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 114063, "title": "Founding AI Ops", "url": "https://www.ycombinator.com/companies/runtime/jobs/pNjYg79-founding-ai-ops", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120K - $165K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 99699, "title": "Runtime - Let your whole team ship safely with coding agents", "tagline": "Guardrails and observability for all your coding agents.", "body": "**Runtime ([runtm.com](http://runtm.com)) lets your whole team ship safely with any coding agent.** It gives your team the guardrails, sandboxes, context, and visibility to go from idea to PR or deployment, with any model, on any infra.\\\n\\\nOur coding agents set your repo environments automatically:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/2951e500-e6ea-4b0a-99de-287fe024a749)\n\nYou can use Runtime through our web interface:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/a7b5c7bd-7ed7-45fa-9684-cacae9d396fd)\n\nOr anyone on your team can trigger it from Slack, Linear, and many other connectors:\n\n![uploaded image](/media/?type=post&id=99699&key=user_uploads/362619/86c3a4fe-5b77-470b-982b-3a01405a7836)\n\nLaunch video:\\\n\n\n**The problem**\n\nAfter my last company was acquired, I led our coding agents rollout and personally shipped 4+ full-stack products in the first 3 months. I then started enabling the rest of the team to do the same. But we hit a lot of friction fast: we needed to create working environments, we didn’t have any control or context to ensure agents contributed correctly, and nobody had visibility of what was being shipped. And because we'd gone deep on one provider's tooling, when their reliability dipped, the whole team slowed down.\n\nEveryone rolling out coding agents across their team hits the same walls:\n\n* **No environment setup:** No easy way to give engineering and product teams production-like environments where agents can safely run.\n* **No guardrails:** No access controls, system instructions, or secrets management for agents.\n* **No visibility:** No way to see what agents are doing, what they're changing, or where things break.\n* **Vendor lock-in:** Go all-in on one model provider's agent infra and your whole team is exposed when reliability, pricing, or model quality shifts.\n\nWithout these, you end up either moving slower than your competition or causing major downtimes on your product.\n\n**What we built**\n\nRuntime sits between your team and the coding agents they use. It works with Claude Code, Codex, OpenCode, Gemini, Copilot, and others, and can be called programmatically or used through Slack, Linear, Jira, Asana, Teams, CLI, and more.\n\n\\\nHere's what that looks like in practice:\n\n* **Environment templates:** Import any repo and set up a replica of your environments once. Our agents handle the setup for you, even for monorepos and microservices.\n* **Sandboxed environments:** Anyone on the team can spin up a sandbox in milliseconds with a live preview of your product, make changes with their preferred coding agent, and open a PR.\n* **Configurable guardrails:** System instructions, skills, allowlists, encrypted secrets, and role-based access control for both humans and agents.\n* **Observability:** See exactly what every human and agent is doing across every interaction, down to the tool call and chain of thought.\n* **One-click deploys / PRs:** Anyone can deploy from their sandbox. Coding agents auto-fix build errors and verify the deployment is healthy before it goes live. You control what gets deployed and can roll back or destroy deployments at any time.\n\nRuntime can be fully self-hosted.\\\n\\\nCheck our product demo:\n\n\\\n\\\n**Asks**\n\n**Use Runtime at your company.** Sign up at [app.runtm.com](http://app.runtm.com). If you're a CTO, head of platform, or eng / product leader rolling out coding agents, our team will personally set up your environments and help you set up best practices to your team is shipping within the first days.\n\n**Book a demo** at \n\n**Upvote this** and connect with me to follow the journey:\n\n* \n* ", "url": "https://www.ycombinator.com/launches/Pw3-runtime-let-your-whole-team-ship-safely-with-coding-agents", "votes": 29, "created_at": "2026-04-13T22:39:14.227Z" } ] }, { "id": 31520, "name": "Kinect", "slug": "kinect", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/13574e5b60275accf705e704a142fb091a82a4b0.png", "website": "https://www.trykinect.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Kinect builds AI agents that know your brand, your catalog, and your customers. On your site, they sell every visitor — running the conversation, adapting product pages in real time to each customer segment, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants from how they ask, what they hesitate on, what they compare, and what objection makes them bounce. \r\n\r\nWe take all of a brand's data and make a structured catalog, brand voice, fit notes, return reasons, segment-level nuance — all so the Kinect agents truly can speak about a brand. When an agent describes the brand, the version it describes is the one you'd want them to, not whatever it guessed from a public catalog scrape. We expose this data as well in the form of agent storefronts, letting every other AI talk about your brand in the way you would want too.\r\n\r\nWe're building for human shoppers today and the AI agents that shop and discover for them. Either way, the entire website needs to get a lot smarter and personalized. \r\n\r\nTwo surfaces. One layer. Built for scaling DTC ecommerce brands.", "one_liner": "The AI revenue platform for D2C brands", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1776624849, "tags": [ "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kinect", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kinect.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trykinect/", "x_url": "https://x.com/trykinect", "fb_url": "https://www.facebook.com/profile.php?id=61569254091915#", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/13574e5b60275accf705e704a142fb091a82a4b0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4a72caa4a75f3cbc1f7d8bc420ee3882c003fe96.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a6736f85805c144fe6c84fb99f9078e3c3fc0871.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 565942, "full_name": "Kratik Agrawal", "title": "Founder/CEO", "founder_bio": "CEO & Co-Founder of Kinect. Previously worked at Google Commerce. Built detection models at Anduril, and was on the enterprise new-products team at Verkada. Before Kinect, I was leading the Conversational Intelligence team at Reevo, helping B2B sellers go into each meeting more prepared and win more. CS @ UCLA", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kratikagrawal/", "x_url": "https://x.com/Kratik_ag", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/06eea8cdddf22d59507f3ca3eea8626012fd1db2.jpg" }, { "user_id": 3413616, "full_name": "Varun Kandula", "title": "Founder/CTO", "founder_bio": "Co-Founder at Kinect. Previously led the Context Graph team at Reevo and worked as an engineer at MongoDB and Capital One. Advised Sephora on \"Ask AI\" tools. Built and scaled his own e-commerce brand to $10K in revenue. As President of NextGen Consulting, led engagements with leading retail brands and sourced $200K+ in contracted ARR across 10+ clients. Former national squash player and peaked at #23 in the US.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/varunkandula", "x_url": "http://x.com/varunkand", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/10ac8c9f370bf08719c5ad03c44d685e1d41c355.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100032, "title": "Kinect: Personalized storefronts that sell, not just show", "tagline": "AI agents that sell every visitor on e-commerce sites — and represent the brand to every other agent.", "body": "# \\*\\*\\*\\*\n\n**TL;DR:** **Kinect builds storefronts that sell, not just show. Our AI agents know each ecommerce brand's catalog, voice, and customer taste — they sell to every visitor on the site, and represent the brand to every external agent (ChatGPT, Gemini, Perplexity) asking about it from outside.**\n\n**The problem.** For 25 years, the ecommerce storefront has been a static grid with a search bar. Conversion has hovered at 1–3%. Most visitors leave because the surface is passive - it shows them everything, asks them nothing, and expects them to do the work of figuring out what they want.\n\nAt the same time, brands need to cater to how AI talks and represents their brand when conversations are held off platform. ChatGPT shopping queries doubled in six months. As more shoppers ask agents to compare and decide before they ever land on a brand, brands are losing control of how they're described — what those agents say about a brand is whatever they guessed from a public catalog scrape, not what the brand would want them to say.\n\n**What we built.** On the brand's site, Kinect's agents sell every visitor — running sales conversations like concierge, adapting and personalizing product pages to customer segments in real-time, picking the right recommendation for the question being asked. The agent picks up on what each shopper actually wants by looking at where they came from, what they are doing on site, their searches, filters, order history, and more. The storefront stops being a static grid and starts being a salesperson.\n\nOff-site, we expose an enriched brand-owned data layer makes the brand legible to ChatGPT, Gemini, and Perplexity. Structured catalog, brand voice, fit notes, return reasons, segment-level nuance — all exposed in formats external agents can actually use. When an agent describes the brand, the version it describes is now the one the brand would want them to. All of this sits on a parallel Agent storefront that is context rich, structured, and catered specifically for agents to read and scrape. The Kinect agents are also available for the agents to talk too, ask questions, and more.\n\n**One brand layer built for all surfaces.** Built for scaling DTC e-commerce brands.\n\n**Launch Video: [https://youtu.be/fSOVQKz8AVM](https://youtu.be/fSOVQKz8AVM)**\n\n**Early Traction**\n\n* 11 customers live across Wellness, Fashion, Sporting Goods, and Consumer Goods\n* Engaged users with our sales agents convert 2.4x higher\n* 80% of conversations are first time customers unfamiliar with brands\n* 10-15% conversion gains for early beta partners\n\n**Backstory**\n\nKratik and I spent the past year at Reevo building conversational intelligence for B2B sales – extracting buyer intent from dialogue, helping enterprise teams understand what prospects actually wanted, and close more deals faster. We also used AI to scrape and research customers and know where the gaps are in discovery.\n\nAs we built for B2B reps, our E-Commerce friends kept asking for something like this for their own brands – a way to reimagine the website to drive conversion and personalization. So we got to work.\n\n![uploaded image](/media/?type=post&id=100032&key=user_uploads/3413616/85f4ba2e-bbaa-4b31-86ef-557f1a764b63)\n\n**Asks**\n\nIf you know someone who runs an E-Commerce brand (or you are one) – we’d like to give them early access + dinner on us for you! We're looking for:\n\n* Founders, marketing, and E-Commerce leaders at D2C brands\n* Agencies and Vendors experts who work with merchants\n\nReach out on Bookface or [kratik@trykinect.ai](https://kratik@trykinect.ai) + [varun@trykinect.ai](https://varun@trykinect.ai)\n\nThanks YC!", "url": "https://www.ycombinator.com/launches/Q1Q-kinect-personalized-storefronts-that-sell-not-just-show", "votes": 210, "created_at": "2026-04-22T00:08:20.777Z" } ] }, { "id": 31522, "name": "Gravy", "slug": "gravy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/046c8f79269b011fabec54b03a626f072794e49d.png", "website": "https://gravy.finance", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Agents that move money, trade stocks, and file taxes.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1779811070, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/gravy", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gravy.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/gravyfinance/", "x_url": "https://x.com/gravy_finance", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/046c8f79269b011fabec54b03a626f072794e49d.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": 1178479, "full_name": "Ali Tabba", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Gravy\nPreviously co-founded KiranaKart which became Zepto, and worked in iShares at BlackRock.", "is_active": true, "linkedin_url": "https://linkedin.com/in/alitabba", "x_url": "https://x.com/alitabba_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b6f1e69e9b34a77f1dbaf49bada224e11979983c.jpg" }, { "user_id": 1058585, "full_name": "Max Church", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ Gravy.\nPreviously, lead AI Engineer at Moonpig, a consumer business with over 12 million active users.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/max-church/", "x_url": "https://x.com/DevMaxC", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a81cba3105fe28afea154ee4c57a2e5bace0ea4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102394, "title": "Gravy - Agents for your personal finances", "tagline": "Connect to your banks, investments, email and more to explain your money and automate your financial tasks. ", "body": "Meet [**Gravy**](https://gravy.finance)! The AI agent that automates your personal finances for you - optimising your spending, finding savings, and handling the tedious money tasks you never get around to.\n\nTry it at [**gravy.finance**](http://gravy.finance)\n\nIn 5 years, the way everyone manages their money will look radically different. Gravy is an AI agent that doesn't just track your finances, but acts on them. Connect up, and Gravy works for you in the background as your finances update day to day. \n\n![uploaded image](/media/?type=post&id=102394&key=user_uploads/1178479/43c3c08c-3595-46a6-8813-aad8cb00f8c9)\n\nYour money is deeply personal, and so is Gravy. **It’s totally customisable** and your **data stays local on your Mac**. Here are some things it can do:\n\n* “Track my angel investments by syncing my Gmail to my portfolio.”\n* \"I uploaded my rental contract. Track rent, deposits, and bills, and move xxxx every month from my Barclays to my HSBC to cover it, and negotiate better deals on utilities where you can.\"\n* “What recurring subscriptions do I have? Go cancel xxxx. Any other fees I could be avoiding?”\n* “Use your dedicated agent card to organise date night’’\n* “Create a custom page to track all my credit cards; spending, smarter debt payoff, and am I using my Wells Fargo points efficiently?\"\n\nWe're repeat co-founders with deep consumer experience.\\\nAli previously cofounded **KiranaKart,** which later became the Indian unicorn **Zepto**, and worked in iShares at BlackRock.\\\nMax was an AI Engineer at a consumer business with over 12 million active users.\n\n[Give it a free try here](https://gravy.finance), and let us know what you think.\n\n", "url": "https://www.ycombinator.com/launches/QdW-gravy-agents-for-your-personal-finances", "votes": 7, "created_at": "2026-06-01T20:36:13.839Z" } ] }, { "id": 31524, "name": "AgentPhone", "slug": "agentphone", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cd0619758d7e852f6674fba763a0d1167fa4a69.png", "website": "https://agentphone.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "The $2T global telecom industry was built for humans. Agents can't act in the real world today because without a phone number, they lack identity. AgentPhone gives every AI agent its own phone number to reach people and businesses through messages and calls.", "one_liner": "Phone Numbers for AI Agents", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1778010009, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/agentphone", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/agentphone.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/agentphone/", "x_url": "https://x.com/agentphonehq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3cd0619758d7e852f6674fba763a0d1167fa4a69.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": 541937, "full_name": "Manav Modi", "title": "Founder/CEO", "founder_bio": "Co-founder at AgentPhone. Helped drive the Vogue app revamp and grew usage from ~100k to over 1M users. BS Computer Engineering from UIUC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/manav2modi/", "x_url": "https://x.com/manav2modi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e12722dbfef97063b9e315c895735a9ea0f7af.jpg" }, { "user_id": 1068571, "full_name": "Meet Modi", "title": "Founder/CTO", "founder_bio": "Co-founder at AgentPhone. Previously built AI Agent infrastructure on WhatsApp for 280+ million businesses at Meta. Bachelor's in Computer Science & Linguistics from UCLA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/meetmodi-/", "x_url": "https://x.com/themeetmodi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1fcfed7410cdbdfff378e20cd29a053029bea75c.jpg" } ], "jobs": [ { "id": 98603, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/agentphone/jobs/Cnv7LNt-founding-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": "0.25% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "TypeScript" ] } ], "news": [], "launches": [ { "id": 101384, "title": "AgentPhone - Phone Numbers for AI Agents", "tagline": "Give AI agents their own phone numbers and identity to call and message across every channel.", "body": "AI agents are becoming incredibly capable online, but the moment you need one to make a phone call or send a text, everything falls apart. You end up stitching together telecom providers, voice infrastructure, compliance, routing, and your own memory layer. Giving an agent a phone number should be simple. It wasn't.\n\nSo we built [AgentPhone](http://agentphone.ai/): the telephony infrastructure layer for AI agents.\\\n\\\n\n\n### **TL;DR:**\n\n* One API to give any AI agent its own phone number\n* iMessage, WhatsApp, RCS, SMS, Calling, and more soon\n* A trusted identity so agents can reach people and businesses in the real world\n\n### **Who's Using It**\n\nTeams at Google's Agent Development Kit, Replit, Y Combinator, Sim AI, LangChain, and Alchemy are already building with AgentPhone.\n\n### **The Problem**\n\nThe $2T global telecom industry was built for humans. AI agents today can browse the web, write code, and manage entire workflows. But they still can't pick up the phone. A lot of business still runs on calls and texts, channels that existed before the internet and email. If agents are going to do real work, they need to work on the channels people already use.\n\n### **How It Works**\n\nAgentPhone gives developers a single API to provision phone numbers for their agents with voice and messaging built in and no compliance headaches. Just plug in and your agent can talk and text to the world.\n\n### **Things already built on AgentPhone:**\n\n* An AI talent recruiter that messages and screens candidates\n* AI employees with their own phone numbers that handle workflows end to end\n* Our own company brain that Manav and Meet use internally to run AgentPhone\n\n### **About Us**\n\nWe're [Meet](https://www.linkedin.com/in/meetmodi-/) and [Manav](https://www.linkedin.com/in/manav2modi). We met 21 years ago when our mom gave birth to Meet. We've been building together ever since.\n\n![uploaded image](/media/?type=post&id=101384&key=user_uploads/1068571/4a9a9fe1-ca93-4dd0-8c56-c1aaf73b076c)\n\nMeet previously built AI agent infrastructure on WhatsApp serving 280+ million businesses at Meta. Manav helped drive the Vogue app revamp and grew it from \\~100K to over 1M users. We saw firsthand that the biggest gap in the agent stack isn't intelligence. It's connectivity.\n\n### **Our Ask**\n\nIf you're building agents that need voice and messaging, try AgentPhone and tell us what breaks. We'll provide free credits to anyone willing to test and share feedback.\n\nSign up at ", "url": "https://www.ycombinator.com/launches/QNE-agentphone-phone-numbers-for-ai-agents", "votes": 266, "created_at": "2026-05-15T13:42:30.250Z" } ] }, { "id": 31525, "name": "Arden", "slug": "arden", "former_names": [ "Veris" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66c948c30bb6ef7a235b3bf6ee7bcb0964990077.png", "website": "https://ardentech.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Arden is the AI-native platform for internal audit and SOX teams.\r\n\r\nWe build AI agents that automatically pull evidence from your stack, test controls end-to-end, and produce audit-ready workpapers in minutes instead of weeks.\r\n\r\nInternal audit is a massive but underserved market. Every public company in the US is required to do SOX testing, yet teams still run it through spreadsheets and screenshots. Arden is the engine that does this work.", "one_liner": "AI-native internal audit firm", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1778059206, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arden", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arden.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ardeninc", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66c948c30bb6ef7a235b3bf6ee7bcb0964990077.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": 2594892, "full_name": "Aryaman Khanna", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Arden. Previously worked on AI @ Databricks and studied CS & Data Science @ UC Berkeley. Co-authored NeurIPS 2025 research on privacy-preserving ML for autonomous systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryaman-khanna-210a9121b/", "x_url": "https://x.com/aryamank24", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed231bd97888750f01480de2da0b722ec1c19f3a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100897, "title": "Arden: AI-native platform for audit teams", "tagline": "Run your audits in minutes, not weeks", "body": "Hey everyone!\n\nWe're[ ](https://linkedin.com/in/aryamankhanna)Aryaman and David, co-founders of[ ](https://arden.ai)Arden.\n\n**TL;DR:** Arden is the AI-native platform for audit and SOX teams.\n\n**Ask:** Intros to VPs of Internal Audit / CAEs at public tech companies. [founders@ardentech.ai](mailto:founders@ardentech.ai) or[ ](https://arden.ai)[ardentech.ai](http://ardentech.ai)\n\n\n\n### **The Problem**\n\nInternal audit still runs on spreadsheets and screenshots.\n\nEvery year, audit teams test hundreds of controls to prove the company's financials are trustworthy. For each one, someone spends weeks chasing colleagues for evidence buried in 20+ disconnected systems and manually testing in Excel. They do the same work every quarter.\n\nSOX compliance costs almost $2M a year at a public company, and 70%+ of that is labor. Teams outsource the overflow to consulting firms at $500-1,000 an hour and burn another seven figures.\n\nThe tools that exist today store the workpapers, but don’t do the work.\n\n### **The Solution**\n\nArden is the AI-native platform that runs audit tests end-to-end.\n\n1. **Plugs into your stack.** Connects to your control library, source systems, and past audit data. Learns how your team audits, and builds that knowledge over time\n2. **Gathers evidence from every system.** Computer-use AI agents navigate legacy systems and capture the screenshots external auditors require. Direct integrations pull from your modern stack, saving auditors weeks of back and forth.\n3. **Chases down control owners for you.** A Slack/Teams agent follows up with control owners, saving auditors weeks of back and forth. Our agent has the right context already filled in, so control owners just confirm.\n4. **Runs control tests.** Arden’s testing engine supports full-population or sample-based testing. It catches every exception and flags them for review.\n5. **Produces workpapers ready for external auditors.** Every conclusion ties back to the source evidence, with full traceability into how Arden reached it. \n\nAudit work hasn't changed in 30 years even as the systems in scope have doubled. We’re rebuilding audit from the ground up.\n\n### **The Team**\n\nAryaman and David have been best friends since 6th grade. Aryaman studied CS at Berkeley and David studied AI at MIT, and we’ve done research on LLM reliability (and a million other projects) together.\n\n**Our Ask**\n\nIf you can intro us to any of the following, we'd love it:\n\n* **VPs of Internal Audit, CAEs, or SOX directors** at public companies\n* **CFOs or Controllers** at public or pre-IPO companies\n* **Anyone at a Big 4 or mid-tier firm** doing co-sourced SOX work\n\n[founders@ardentech.ai](mailto:founders@ardentech.ai) or book a demo at [ardentech.ai](https://ardentech.ai)", "url": "https://www.ycombinator.com/launches/QFN-arden-ai-native-platform-for-audit-teams", "votes": 32, "created_at": "2026-05-06T18:04:14.382Z" } ] }, { "id": 31526, "name": "Uno Wallet", "slug": "uno-wallet", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2393bf402ae2e425fc41cb7f78facb4b67fa9d5.png", "website": "https://myunowallet.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We are changing the way that people pay...\r\nFounded by:\r\nSaket Joshi: www.linkedin.com/in/saket-dattatray-joshi/\r\nMordi Shadpour: www.linkedin.com/in/mordi-shadpour/", "one_liner": "The AI mobile wallet that replaces Apple Pay", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1779834493, "tags": [ "Fintech", "Payments", "Consumer", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The founders met at a Harvard startup mixer in 2023 and immediately bonded over fintech. They stayed in touch as friends and idea sparring partners, and later realized that advances in AI and new platform unlocks made Uno Wallet a massive opportunity to build together in the infrastructure and fintech space." } ], "url": "https://www.ycombinator.com/companies/uno-wallet", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/uno-wallet.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uno-wallet", "x_url": "https://x.com/MyUnoWallet", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c2393bf402ae2e425fc41cb7f78facb4b67fa9d5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1fecca5d8dafd39142796c306a3102c067cff398.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 1631278, "full_name": "Mordi Shadpour", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of Uno Wallet | MBA @ Harvard\nBuilding the AI that automates your financial life, starting with the decision everyone gets wrong 50 times a month: which card to tap.\n\nBloomberg Terminal. California native, based in the Bay Area.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mordi-shadpour", "x_url": "https://x.com/MordiShadpour", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/845444df2aded4c1492d125d61ff8d68a63131cd.jpg" } ], "jobs": [ { "id": 103221, "title": "Founding Engineer - Product & Infrastructure", "url": "https://www.ycombinator.com/companies/uno-wallet/jobs/UsckBfY-founding-engineer-product-infrastructure", "location": "San Francisco, CA, US / Palo Alto, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $205K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 113112, "title": "Founding Head of Product", "url": "https://www.ycombinator.com/companies/uno-wallet/jobs/VzmlenM-founding-head-of-product", "location": "South San Francisco, CA, US / Palo Alto, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$125K - $200K", "equity_range": "0.50% - 2.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [] }, { "id": 31527, "name": "Revnu", "slug": "revnu", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/37b7a4d126859b0a7edce4eaee5984ecd6f85757.png", "website": "https://revnu.com", "all_locations": "Manchester, England, United Kingdom", "long_description": "Revnu does the growth work founders never get round to. Connect your tools and it researches buyers, prepares outreach, runs ads and publishes search content. It watches the results and uses what it learns across every channel. You approve the work that needs your judgment and hear what moved every morning. You build. We grow.", "one_liner": "Your AI growth hire.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1776869663, "tags": [ "B2B", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/revnu", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/revnu.json", "year_founded": 2026, "city": "Manchester", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/revnu-app", "x_url": "https://x.com/revnu_app", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/revnu", "github_url": "https://github.com/revnu-app", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37b7a4d126859b0a7edce4eaee5984ecd6f85757.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": 1793674, "full_name": "George Jefferson", "title": "Founder/CEO", "founder_bio": "Building revnu.com\n\nSolving growth for startups. Bootstrapped x3 software businesses to £100K+ while at uni. Won the xAI London Hackathon. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/georgejeffers/", "x_url": "https://x.com/GeorgeJeffersn", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b4304d67b6c18332be67e6b684e32dcc762efc3.jpg" }, { "user_id": 2746882, "full_name": "art freebrey", "title": "Founder/CTO", "founder_bio": "CTO of Revnu (P26) your AI growth team. Bootstrapped x3 $150k+ businesses as a student. she/they", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/artfreebrey", "x_url": "https://x.com/artfreebrey", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7372644e4adafdfc389d071ee65a63b6972120f8.jpg" } ], "jobs": [ { "id": 103535, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/revnu/jobs/VM4oyLB-founding-engineer", "location": "Manchester, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£80K - £120K GBP", "equity_range": "1.00% - 3.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "React", "TypeScript", "Software Architecture", "AI Agents" ] } ], "news": [], "launches": [ { "id": 101688, "title": "Revnu - Your AI growth team. You build, we do everything else.", "tagline": "All the boring growth work you know you should do but never get round to. Done overnight.", "body": "Hey! We're [George](https://www.linkedin.com/in/georgejeffers/) and [Art](https://www.linkedin.com/in/artfreebrey/), co-founders of [Revnu](https://revnu.com/).\n\n**TL;DR**\n\n[Revnu](https://revnu.com/) is your AI growth hire. Connect your tools and our agents run every growth channel in parallel. Outbound, SEO, ads, short form content + more. You focus on building, we focus on growing.\n\n\n\n**The problem**\n\nAI solved coding. Building software has never been easier and the cost is collapsing to 0.\n\nThe only moat left is distribution.\n\nFounders don’t want to worry about managing email outbound campaigns, ad budgets, blog articles. They’re busy shipping and talking to customers. \n\nThe options today are: hire a growth hire for $200k/yr or hack your own DIY tool stack together.\n\nUntil now! \n\n**Our solution**\n\nWhat Cursor did for coding, we're doing for growth.\n\n[Revnu](https://revnu.com/) runs every growth channel for you, in parallel, 24/7:\n\n* Cold outbound that finds you leads, drafts emails in your voice and books you calls\n* Runs thousands of ad creative variants on Meta, LinkedIn, Reddit, TikTok\n* Gets you ranking in Google and AI search\n* Creates short-form video content\n* Catches customers about to churn and wins them back\n\nNow founders can finally focus on getting back to building.\n\n**About us**\n\nWe're George and Art, both from the UK. We met in school when we were 14 years old and have been best friends ever since. We both dropped out of university the same day to join YC P26 and moved to San Francisco.\n\n* Before [Revnu](https://revnu.com/), we bootstrapped multiple businesses and kept on finding growth was the bottleneck.\n* That's why we decided to build [Revnu](http://revnu.com/). To automate the part of every founder's life they hate the most: the growth work.\n\n**Our ask**\n\nIf you're a technical founder and you hate doing growth (or you know someone who does), book a demo rn at [revnu.com](http://revnu.com).\n\nLove & Guidance\n\n\\- George and Art\n\n![uploaded image](/media/?type=post&id=101688&key=user_uploads/1793674/ba606bb4-cad9-4957-ad1b-b64bf0249806)\n\n", "url": "https://www.ycombinator.com/launches/QS8-revnu-your-ai-growth-team-you-build-we-do-everything-else", "votes": 17, "created_at": "2026-05-21T01:51:58.616Z" } ] }, { "id": 31528, "name": "Asendia AI", "slug": "asendia-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.png", "website": "https://asendia.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Asendia AI replaces the top-of-funnel recruiter. Our AI agents clone each agency's best human recruiter: their knowledge base, screening logic, outreach style, and judgment, then run the full workflow across phone, SMS, WhatsApp, and email, 24/7. A req comes in; by the time a recruiter sits down, Asendia has already sourced, screened, and drafted submittals. Staffing is a $200B+ industry where speed is the entire margin.", "one_liner": "AI recruiters for staffing agencies", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1773592389, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/asendia-ai", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/asendia-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/asendia-ai/", "x_url": "https://x.com/asendia_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e735fee67a48586d3de061beb544a8ab8d481fc6.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": 2066133, "full_name": "Rihab Lajmi", "title": "Founder/CEO", "founder_bio": "I am Co-Founder & CEO of Asendia AI. Previously I worked as a cloud engineer at companies like Microsoft and Google across Europe and the US. Now I am co-building Asendia AI, the smartest recruitment engine for staffing agencies and Enterprise. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rihab-l-085182164/", "x_url": "https://x.com/LajmiRihab", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4dd27506220975f7cda6d35ab60931536d582b74.jpg" }, { "user_id": 2096458, "full_name": "Badis Zormati", "title": "Founder/CTO", "founder_bio": "Co-Founder and CTO of Asendia AI. \nI hold a master's degree in Electrical Engineering and Computer Science from the Technical University of Munich. At Infineon Technologies, I built firmware for MEMS-based products and led the AI transformation of hardware solutions, including the first tiny machine learning models running on the edge for miniature microphones. I worked closely with Fortune 500 companies to drive AI-led transformations of their hardware products.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/badis-zormati/", "x_url": "https://x.com/zormati_ba", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/40ac24affa911ba2f5b5a37a950a219c69d32ce6.jpg" } ], "jobs": [ { "id": 97298, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/sZsNfP4-product-engineer", "location": "Berlin, Berlin, DE", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80K - $120K", "equity_range": "0.15% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Microsoft Azure", "Python", "Next.js", "LLMs", "AI Agents" ] }, { "id": 106665, "title": "Marketing Intern - Creative Role", "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/NGm0Ico-marketing-intern-creative-role", "location": "San Francisco, CA, US / Remote (US)", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$1K - $2K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Marketing design" ] }, { "id": 110663, "title": "Staffing Intern – Recruiting & Talent", "url": "https://www.ycombinator.com/companies/asendia-ai/jobs/mRTyX0b-staffing-intern-recruiting-talent", "location": "Remote (US)", "type": "Internship", "role": "Recruiting & HR", "role_type": "Sourcer", "salary_range": "$1K - $2K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101994, "title": "Asendia AI: clone your best recruiters into AI Agents", "tagline": "AI agents, that source, screen and interview candidates at scale. ", "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n[Asendia AI](https://asendia.ai) clones your best recruiters into self learning AI agents that source, screen and help hire candidates 10x faster! And is used today by the top staffing companies in the US!\n\nSee Asendia AI in action: 🔗[ Talk to Asendia Founders](https://calendly.com/rihab-lajmi-asendia-ai/asendia-p26-investor-meetings-clone-1)\n\nSince joining YC:\\\n→ Top recruitment companies in the industry now running on [**Asendia AI**](https://www.linkedin.com/company/asendia-ai/)\\\n→ 4 major industry events sponsored\\\n→ hosted a webinar with 700 industry leaders\\\n→ Multiple dinners with customers and partners across the US\n\n> Check out our Launch video [**Here**](https://www.youtube.com/watch?v=o8-uV_ZP86I)\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/a2a5c535-9215-4802-b5b7-d147a459275c)\n\n## Problem\n\nStaffing agencies lose deals every day because recruiters don’t have enough hours to place candidates fast enough.\n\n* Recruiters spend 80% of their day on repetitive admin work: screening, outreach, scheduling, and follow-ups\n* That leaves only a few hours for the work that actually drives placements: relationships, judgment, and closing\n* Every candidate not submitted is a placement a faster agency wins\n\nIn staffing, speed is the margin.\n\n## Solution\n\nAsendia lets staffing agencies build their own AI recruiters.\n\nEach AI recruiter is cloned from how your best human recruiters actually work: their screening criteria, outreach style, prioritization logic, and escalation rules.\n\nYou configure how they operate:\n\n* Which channels they use: phone, SMS, WhatsApp, email\n* How they screen candidates\n* What qualifies a candidate\n* When they escalate to a human recruiter\n\nUnder the hood, [Asendia](https://asendia.ai) connects to your ATS and learns from every candidate record, client req, and placement history.\n\nYour AI recruiters don’t just search by keywords. They understand your database like a tenured recruiter, matching on context and surfacing signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who’s qualified, and what needs attention.\n\nRecruiters stop spending eight hours on admin and start spending eight hours on the work that wins placements.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won world-wide mathematics olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with fortune 500 to assist with AI led transformations for hardware product.\n\n![uploaded image](/media/?type=post&id=101994&key=user_uploads/2066133/80e164de-2ee1-41ad-adbc-e4d1f3a3d205)\n\n", "url": "https://www.ycombinator.com/launches/QX4-asendia-ai-clone-your-best-recruiters-into-ai-agents", "votes": 27, "created_at": "2026-05-26T21:03:16.723Z" }, { "id": 100085, "title": "Asendia AI — Clone Your Best Recruiter!", "tagline": "Asendia AI builds AI recruiters for staffing agencies and enterprise companies. It clones their best recruiters into AI agents that match, screen, and submit candidates 10x faster.", "body": "We are [Rihab Lajmi](https://www.linkedin.com/in/rihab-l-085182164/) and [Badis Zormati,](https://www.linkedin.com/in/badis-zormati/) Co-founders of [Asendia AI.](https://asendia.ai/)\n\n---\n\nAsendia AI clones your best recruiters into AI agents that match, screen, and submit candidates 10x faster. When a healthcare staffing agency gets a job order for 20 ICU nurses, a human recruiter spends days searching their database, making phone calls, and screening candidates. Asendia does all of that automatically — it searches the agency's existing candidate database, reaches out via SMS, email, and phone, conducts screening interviews in multiple languages, and writes up structured notes directly in the ATS. The recruiter just reviews the top candidates and submits them.\\\n\\\nStaffing is different from regular hiring. It's a daily revenue operation. Agencies make money every time they place someone, and they're placing people constantly. That means Asendia isn't an occasional tool; it runs every day on every open job. Over time, we learn things no general-purpose AI tool would know: that ICU nurses in Dallas respond best to SMS on Sunday evenings, that locum tenens candidates need a different outreach cadence than perm roles, which candidate pools are exhausted. That operational memory compounds and makes it very hard for us to turn off.\n\nOur Launch Video: \n\n**The problem**\n\nStaffing agencies lose placements every day, not because they lack talent, but because their recruiters don't have enough hours to place candidates in time.\n\nThe average recruiter spends 80% of their day on manual redundant work. Screening, data entry, outreach, follow-ups, scheduling. The actual recruiting, the judgment, the relationships, the conversations that close, gets two hours a day if they're lucky. Every hour spent on admin is a candidate they didn't submit. Every candidate they didn't submit is a placement a faster agency took. In staffing, speed isn't a nice-to-have. It's the entire margin.\n\n**What we built**\n\nOn the Asendia platform, you build your own AI recruiters. Each one can be cloned from how your best human recruiters actually work, their screening criteria, their outreach style, their prioritization logic. You configure the workflows: which channels they use (phone, SMS, WhatsApp, email), how they screen, what qualifies a candidate, when they escalate to a human.\n\nUnder the hood, Asendia connects to your ATS and digests every candidate record, every client req, every placement history. Your AI recruiters don't search by keywords. They understand your database the way a tenured recruiter does, matching on real context, flagging candidates based on signals like contract end dates, availability shifts, and past behavior.\n\nEvery morning, your team gets a brief: who was sourced, who responded, who's qualified, and what needs attention. Your human recruiters stop spending eight hours on admin and start spending eight hours on the part that wins placements: judgment, relationships, and closing.\n\n**The team**\n\n**Rihab** is ex-Google and ex-Microsoft, where she led cloud and engineering initiatives for Fortune 500 companies. Won the World-Wide Mathematics Olympiad at the age of 16.\n\n**Badis** graduated with a Master’s degree in AI and Machine Learning from the Technical University of Munich and led AI projects at Infineon Technologies, a leading global semiconductor company. Worked closely with Fortune 500 to assist with AI-led transformations for a hardware product.\n\n![uploaded image](/media/?type=post&id=100085&key=user_uploads/2066133/93ccf745-21fa-47bb-9ce1-11e65bde5e7e)\n\n#AI #Recruiting #B2B #artificial_intelligence #Hiring #Agents #Agentic", "url": "https://www.ycombinator.com/launches/Q2H-asendia-ai-clone-your-best-recruiter", "votes": 28, "created_at": "2026-04-23T13:55:50.208Z" } ] }, { "id": 31529, "name": "Mochatrade", "slug": "mochatrade", "former_names": [ "Marvin", "Leverberry" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b53aed7c2d61caf968cbcb61a42f6cd0f7f65ef9.png", "website": "https://www.mochatrade.com", "all_locations": "New York City, NY, USA", "long_description": "Mochatrade lets global traders trade top US stocks using perpetual futures. Access all US stocks including TSLA, NVDA, and AAPL, plus pre-IPO companies and commodities, no US brokerage account needed. Money in and out in local currency (UPI in India), with professional-grade execution on the world's most liquid equities. Starting with India (140M+ demat account holders), expanding across other markets. Backed by Coinfund, Coinbase, and Y Combinator.\r\n\r\n", "one_liner": "US stock trading, unlocked for the globe", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Consumer Finance", "launched_at": 1775162589, "tags": [ "Consumer Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Consumer Finance" ], "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/mochatrade", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/mochatrade.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/mochatrade/", "x_url": "https://x.com/Mochatradeapp", "fb_url": "https://www.facebook.com/profile.php?id=61590393531163", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b53aed7c2d61caf968cbcb61a42f6cd0f7f65ef9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8595eb16627a24d2cb598e3dcd75ac45c4f41ad2.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3db07db7aa5b55b0338f87799472d91b06f4d45d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84297da5dcafcd3615304799a7f4cc0a4480582d.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2cc53b9f13029010777d69345f21454d3189047c.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 921606, "full_name": "Utkarsh Sinha", "title": "Founder/CEO", "founder_bio": "CoFounder and CEO at MochaTrade. Building US stock trading for the globe. Built Martian Wallet in my Columbia Dorm Room, that scaled to 2M+ installs, raised $3.5M, and got acquired. Studied MS in CS at Columbia, and EECS at IIT KGP. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/utksn15/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6ad3a8d4f8970ac1fc1064ca3aa7e3b3fad8db9d.jpg" }, { "user_id": 1935536, "full_name": "Parth Maheshwari", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO at Mochatrade. Previously led engineering at the largest fintech lending startup in India, and was part of a small team who build Adobe Photoshop for the web. Cofounder/CTO at Meadow(Synthetic-user testing platform acq. by YC company). Graduated from IIT Guwahati in 2020", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parthm1801", "x_url": "https://x.com/_ParthVader_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/786ad043dd7109c01ea195e9f2bdef403ef8f827.jpg" }, { "user_id": 1797347, "full_name": "Chetan Manda", "title": "Founder/CPO", "founder_bio": "Co-Founder and CPO at Mochatrade. Previously Director of Product at Sprinklr(NYSE:CXM), Cofounder/CEO at Meadow(Synthetic-user testing platform acq. by YC company). HCI grad from IIT G", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chetanmanda/", "x_url": "https://x.com/theblackmanda", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b859d7c78a7ffbe2439d685650ae660017d24f04.jpg" } ], "jobs": [], "news": [ { "title": "MochaTrade Secures Pre-Seed Funding from Y Combinator to Transform Perpetual Trading, ETEntrepreneur", "url": "https://entrepreneur.economictimes.indiatimes.com/news/funding/mochatrade-secures-pre-seed-funding-from-y-combinator-to-transform-perpetual-trading/130855566", "date": "May 07, 2026" }, { "title": "FinTech firm MochaTrade raises pre-seed from YCombinator", "url": "https://deccanfounders.com/2026/06/news/mochatrade-secures-funding-global-us-derivatives/", "date": "May 06, 2026" } ], "launches": [ { "id": 101161, "title": "Mochatrade - US stock perps for Indian traders with up to 50x leverage", "tagline": "Deposit in INR via UPI, trade US stocks, Pre-ipo stocks, indices, commodities and crypto with up to 50x leverage.", "body": "**TL;DR:** Mochatrade lets Indians trade perpetual futures on US stocks (TSLA, NVDA, AAPL), Pre-ipo stocks(Cerebras, Anthropic, SpaceX), commodities(Oil, Gold, Silver). Deposit INR via UPI rails, trade and withdraw to your bank. 24/7 settlement and no Foreign Remittance required.\n\n**The problem:** India is the largest retail derivatives market in the world with \\~60% of global equity derivatives volumes (\\~$30Bn per day), eclipsing the US market. 140M+ Indians hold trading accounts. They want US stock exposure but have been locked out.\n\nToday they have three bad options:\n\n* **Hold US stock as spot** through regulated brokers (Vested, INDmoney) with offshore bank accounts: $250K remittance cap, T+2 settlement, no leverage, no shorting, not 24/7, painful Tax handling\n* **Offshore CFD shops**: opaque pricing, sketchy custody, no INR rail, regulatory black hole\n* **Crypto Exchanges** such as CoinDCX which are catered towards crypto audiences. Majority of Indian daytraders don't understand 'crypto wallets' and 'gas fees'.\n\n![uploaded image](/media/?type=post&id=101161&key=user_uploads/1797347/625c590d-9442-488e-b1a6-57d01a7f147b)\n\n**None of them match** what an **Indian** F&O **trader** actually does and **wants** - every day leveraged derivatives, in INR.\n\nPromo: \n\n**What we built:** The trading terminal these users already know, run on perpetual futures:\n\n* **50+ US stock perps + pre-ipo stocks +commodities crypto + indices**, up to **50x leverage.** NVDA, TSLA, AAPL, META, GOOGL, SPY, plus BTC, ETH, SOL, plus index perps. One terminal, one balance.\n\n ![uploaded image](/media/?type=post&id=101161&key=user_uploads/1797347/f4c0dbdf-56fb-4ea5-8f83-93f9e65df03b)\n\n* **INR on-ramp and off-ramp via UPI.** Withdraw to your KYC-verified bank in INR.\n\n ![uploaded image](/media/?type=post&id=101161&key=user_uploads/1797347/697099f0-bff6-4bac-8adb-ff50624f850a)\n\n* **Terminal-grade UI** density built for serious traders. Fundamental Analysis for every stock, Advanced charts for Technical Analysis.\n\n ![uploaded image](/media/?type=post&id=101161&key=user_uploads/1797347/39aac7df-4a94-4f57-8ff1-cc6e9eb3a24c)\n\n* **Non-custodial wallets. Sub-second execution** and **deep liquidity**, built on Hyperliquid.\n* **Compliance:** We're building it the right way. FIU-IND registration in flight, working with India's best law firm on regulatory architecture.\n\n**Who we are:** **Utkarsh** (CEO), **Chetan** (CPO), **Parth** (CTO). IIT grads, close friends for 10 years. Previously **built** crypto **wallet** with **2M** installs across **50+ countries**, processing over **$2Bn** in volumes, successfully **acquired** by an exchange.\n\n![uploaded image](/media/?type=post&id=101161&key=user_uploads/1797347/d892d716-f736-4f5c-b942-a985239fe819)\n\n**Our ask:**\n\n* F&O / perps traders: join the **waitlist** at [www.mochatrade.com](http://www.mochatrade.com)\n* **Operators** in Indian **fintech**, **crypto**, or **trader** communities - would love to chat\n* We're closing a **seed round**; warm intros welcome\n\nContact us at: [founders@mochatrade.com](mailto:founders@mochatrade.com)", "url": "https://www.ycombinator.com/launches/QJd-mochatrade-us-stock-perps-for-indian-traders-with-up-to-50x-leverage", "votes": 60, "created_at": "2026-05-11T19:20:07.569Z" } ] }, { "id": 31530, "name": "Avea Robotics", "slug": "avea-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.png", "website": "https://www.avearobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "We built the fastest software to control robots from anywhere in the world. We make it possible for robotics companies to keep their robots at 100% uptime, and intervene instantly when a failure occurs. ", "one_liner": "The human-in-the-loop system for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1779165169, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Acquired", "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/avea-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/avea-robotics.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/avea-robotics/", "x_url": "https://x.com/AveaRobotics", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8bbc0f67672c28c5bc0d90aef4a3427383e238ac.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": 2215628, "full_name": "Ary Indarapu", "title": "Founder/CEO", "founder_bio": "Ary is the co-founder and CEO of Avea Robotics. His mission is to accelerate the future of autonomous robotics by getting robots out of the lab and into the field.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aryanindarapu/", "x_url": " https://x.com/aryind_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1e9550f0a3ea56d52319495e2e27e34621e309d.jpg" }, { "user_id": 2249924, "full_name": "Vikram Vadrevu", "title": "Founder/CTO", "founder_bio": "Co-founder of Avea Robotics, building high-performance, low-latency software for modern robots. Aerospace + embedded software engineer from UIUC; previously wrote flight software for NASA and DoD satellites. Interested in robotics, physical AI, infrastructure, composite materials, and the state of the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vikramvadrevu", "x_url": "https://x.com/vikramvadrevu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/60917f4e7be5b5cd940400b71a1e875d78e26503.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102363, "title": "Avea Robotics - The human-in-the-loop system for robots", "tagline": "Remote teleop intervention to keep your robots at 100% uptime", "body": "Hi! We’re Ary and Vikram. We graduated from UIUC and moved to SF last summer with a mission to get robots out of the lab and into the field, doing real work. Now, we’re at 18k MRR and helped deploy nearly 30 robots!\n\n![uploaded image](/media/?type=post&id=102363&key=user_uploads/2215628/e3932dd6-69d1-46d6-b42c-568c050068b4)\n\n**What’s the problem?**\n\nRobots aren't perfect- they make mistakes and get stuck in edge cases. That means lost time, and on a factory floor or inside a logistics warehouse, that can translate to thousands of lost dollars. Keeping on-site staff on standby just to babysit them kills ROI and the deployment.\n\n**What’s the solution?**\n\nOur product, Sentinel, allows operators to remotely teleop their robots so they can intervene and keep robots running at 100% uptime. Our software is ultra low-latency, meaning operators can react to the environment in near real-time.\n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Launch Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**Our take:** Robotic AI models will never get better if they just sit in the lab. Deployments are the bottleneck for autonomous robots; that’s why we’re building Avea! \n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company that uses teleoperation, please reach out.", "url": "https://www.ycombinator.com/launches/Qd1-avea-robotics-the-human-in-the-loop-system-for-robots", "votes": 13, "created_at": "2026-06-01T15:10:19.277Z" }, { "id": 101616, "title": "Avea Robotics - Control robots from ANYWHERE in the world", "tagline": "Ultra low-latency VR teleoperation to help you scale your robots.", "body": "**TLDR;** Avea builds ultra low-latency teleop software that allows robotics companies to remotely control their robots using VR headsets.\n\n![uploaded image](/media/?type=post&id=101616&key=user_uploads/2215628/66a8757b-ba8a-4a6c-b573-688aba5ad815)\n\n**What’s the problem?**\n\nWhen autonomous robots get stuck during deployment, teleoperation is used to recover them and capture that edge case. Today, that means keeping on-site staff on standby just to babysit deployments. It’s not scalable and hurts ROI, causing deployments to stall.\n\nOther remote teleop softwares are clunky and unreliable for real-time control.\n\n**What’s the solution?**\n\nSentinel allows operators to remotely teleop their robots so they can intervene when autonomy breaks down. Our software has ultra low-latency, meaning operators can react to the environment in near real-time. \n\nWith Sentinel, robotics companies can unlock the path to scaling their deployments.\n\n**Demo Video: [https://youtu.be/dKEbWlZocJQ](https://youtu.be/dKEbWlZocJQ)**\n\n**A bit about us:**\n\n* We moved to SF right after graduating from UIUC last year to work on Avea\n* We’ve been doing robotics since high school (shoutout FIRST!)\n* We're on a mission to get robots out of the lab and into the real world\n\n**Asks:** We want to talk to more robotics companies! If you or someone you know is an operator at a robotics company, please reach out.", "url": "https://www.ycombinator.com/launches/QQy-avea-robotics-control-robots-from-anywhere-in-the-world", "votes": 16, "created_at": "2026-05-20T01:41:28.008Z" } ] }, { "id": 31531, "name": "Manicule", "slug": "manicule", "former_names": [ "better-cmdk" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd583af5fd7e25beb6cf6bd63167daa1273db6c5.png", "website": "https://manicule.com", "all_locations": "San Francisco, CA, USA", "long_description": "Manicule does AgentRel. We get companies discovered and used by AI agents. Think DevRel, rebuilt for a world where agents make all the decisions. We own developer documentation and technical content across social channels, end-to-end. We've grown 100% MoM over the last three months to $53K in monthly revenue, with customers like Supermemory, Greptile, Reducto, and Mastra.\r\n \r\nGetting discovered and used by agents is its own job now, and the market for it is broken. The SEO/GEO SaaS tools just show you data like where you rank in AI answers. The agencies are slow and lack know-how with agents. The one person who could own all of it end-to-end, a DevRel, is nearly impossible to hire: our customers have had roles open for months at $300K+ and still can't find anyone good. \r\n\r\nWe solve all these gaps. Naman has been doing fractional DevRel since he was 13, working with companies like PromptLayer, Brightdata, and Courier.com. Shreyans has been building since 14 — he built an AI app that hit App Store Productivity Trending within a month, and\r\nwas the founding engineer at Supermemory. We met in high school and have built multiple startups together since.", "one_liner": "AgentRel — Devrel For Agents", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1773484930, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/manicule", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/manicule.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/manicule", "x_url": "https://x.com/manicule", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cd583af5fd7e25beb6cf6bd63167daa1273db6c5.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/79/1781631415-2d202c04eab97bdb3fa2aa7256579b22/4994d735382fccec7a3703c9342926de.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022738Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=882eb51977665fa7daca25795c444e9d89c4842dd492fbed1a2d25e829a4a8bf", "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1069030, "full_name": "Naman Bansal", "title": "Founder/CEO", "founder_bio": "Co-founder, CEO @ manicule.dev - helping developer tools companies with devrel. I also love tennis, poker, and art.", "is_active": true, "linkedin_url": "https://linkedin.com/in/namban", "x_url": "https://x.com/namanbansal0611", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/714e1c11f310f68b8d0a85ce938358f69baca39a.jpg" }, { "user_id": 1069508, "full_name": "Shreyans Jain", "title": "Founder/CTO", "founder_bio": "Co-Founder @ Manicule (YC P26). 19. High School Grad. Prev. Founding Engineer @ Supermemory.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sjain07", "x_url": "https://x.com/shreyansj", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1aacc3ed54257dfe27222d0e0a967edc6d8c34b6.jpg" } ], "jobs": [ { "id": 105093, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/manicule/jobs/kAJ7hYb-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "TypeScript" ] }, { "id": 105094, "title": "Engineering Intern", "url": "https://www.ycombinator.com/companies/manicule/jobs/KKTDyN8-engineering-intern", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $150K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] }, { "id": 105095, "title": "Enterprise Sales", "url": "https://www.ycombinator.com/companies/manicule/jobs/7l4PnOM-enterprise-sales", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105096, "title": "X Content Marketer", "url": "https://www.ycombinator.com/companies/manicule/jobs/uYLsj72-x-content-marketer", "location": "SG", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 105097, "title": "Reddit Content Marketer", "url": "https://www.ycombinator.com/companies/manicule/jobs/nMhqtgp-reddit-content-marketer", "location": "SG", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 105099, "title": "Technical Writer & Content Strategist", "url": "https://www.ycombinator.com/companies/manicule/jobs/QtqvNgQ-technical-writer-content-strategist", "location": "SG", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "0.30% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 106712, "title": "LinkedIn Content Marketer", "url": "https://www.ycombinator.com/companies/manicule/jobs/zcUTh27-linkedin-content-marketer", "location": "SG", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $100K", "equity_range": "0.50% - 1.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108023, "title": "Freelance Technical Content Writer", "url": "https://www.ycombinator.com/companies/manicule/jobs/SeUD1cG-freelance-technical-content-writer", "location": "Remote", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$20K - $60K", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 109706, "title": "Designer / Design Engineer", "url": "https://www.ycombinator.com/companies/manicule/jobs/PCYoCAU-designer-design-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$40K - $120K", "equity_range": "0.10% - 0.50%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 101237, "title": "Manicule - AI Native Technical Docs & DevRel-as-a-Service", "tagline": "Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos.", "body": "**TL;DR:** Manicule owns docs and technical content for early-stage devtools across GEO, socials, and product videos. Twice as fast with AI and half the cost of hiring a DevRel, with solid results at Greptile, Skyvern, and Supermemory.\n\n—\n\n[**Manicule**](http://manicule.dev/) is a technical studio that owns your docs and developer-facing content end-to-end to help you grow. We write **for agents** and humans, ship in **<2 weeks**, and have delivered tangible results - **\\~37%** less support tickets, millions of impressions on AI search & socials, and **$100K+** in enterprise deals closed across customers.\n\nCustomers include [**Greptile**](http://greptile.com/docs) (W24, $25M+ raised), [**Reducto**](http://docs.reducto.ai/) (W24, $100M+ raised), [**Supermemory**](http://supermemory.ai/docs), [Skyvern (S23),](http://skyvern.com/docs) Rootly, etc.\n\n## **The Problem**\n\n* Founders don’t have time to write docs, engineers hate doing it, and it ends up on the backlog forever.\n* Nobody knows how to optimize their docs for agents\n* AI tools like CC hallucinate code snippets and write empty content without nuance\n* Docs sit unused as a growth channel, leaking signups to competitors with better content.\n\nWe solve that, and here’s proof.\n\nWe’ve engineered agent-optimized docs and benchmarked it on our clients’ docs. On average, agents perform **no errors** while using our approach vs **failing 25% of the time** with other frameworks.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/66c15ca0-661e-465a-9356-3af1492a195a)\n\n## **Case Study: Supermemory**\n\nSupermemory had two overlapping products and a lot of internal confusion about what each one was actually for. Customers couldn't figure it out either, and the docs were full of broken code snippets.\n\nSo, we:\n\n* Got on calls with their CEO to lock down messaging and figure out the exact outcome each product was best for.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/19709c8a-0654-4eb0-988e-fcd387fe538a)\n\n* Redesigned the information architecture from scratch. We mapped the journey from zero to \"aha\" and structured the docs like that.\n* Wrote every page tied to a concrete developer outcome, with AI agents drafting from the OpenAPI spec and SDK definitions, then humans refining, testing every snippet, and cutting the fluff.\n\n**Results:** 37% increase in answer success rate, multiple enterprise deals closed directly from docs, and viral reception on Twitter.\n\nHere’s the Mintlify stats from **before** our engagement:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/3e448fc8-1672-4d58-bf45-44acd73b0d51)\n\nAnd from after:\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/37eaa68b-ab79-4c37-a41b-784a9fd3f115)\n\nBesides the docs, we also created a lot of blog content, cookbooks, case studies, and videos for GEO, which have bought millions in impressions across AI search and socials.\n\n![uploaded image](/media/?type=post&id=101237&key=user_uploads/1069030/453c538a-5d5b-4b58-84a2-0c0112c364a2)\n\n## **How we work**\n\nYou bring us in for a complete docs write-up that ships in **about 15 days** and **keep us on call 24/7** so your docs never fall behind. From there, we extend across your full developer growth surface like blogs, cookbooks, videos, social distribution, and GEO. All content written for both agents and humans.\n\n## **Our asks**\n\n* **If your docs need work, we'd love to talk.** You can book a call here: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro**)\n* We’re working with a select few Seed+ companies first for blogs, videos, cookbooks, and overall developer marketing to deliver the best results. If you’d like to be one those, let’s chat: [**https://savvycal.com/manicule/intro**](https://savvycal.com/manicule/intro)\n\nVideo: ", "url": "https://www.ycombinator.com/launches/QKr-manicule-ai-native-technical-docs-devrel-as-a-service", "votes": 29, "created_at": "2026-05-12T06:54:30.481Z" } ] }, { "id": 31533, "name": "Lattice Health", "slug": "lattice-health", "former_names": [ "Lattice" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/2410273df05a84647f5ff7950dad614c7167a5e8.png", "website": "https://www.latticehealthai.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Lattice Health monitors deployed medical imaging AI so hospitals can tell whether each model is still working, tracking agreement with the radiologist's read, drift, and performance across patient groups. It observes rather than controls and produces the evidence teams need for safety, governance and compliance.", "one_liner": "Monitoring and governance for deployed medical imaging AI", "team_size": 1, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1779379270, "tags": [ "Healthcare", "Healthcare IT" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/lattice-health", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/lattice-health.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/2410273df05a84647f5ff7950dad614c7167a5e8.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": 1446170, "full_name": "Christine Park", "title": "Founder/CEO", "founder_bio": "I'm the founder/CEO of Lattice Health. Previously, I trained in neurosurgery at the University of Washington and obtained my MD/MEng at Duke. Currently, I'm pursuing a CS PhD at Stanford.", "is_active": true, "linkedin_url": "https://linkedin.com/in/christine-park-642011230", "x_url": "https://x.com/sparkcpark", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/550427621486dfdbdc618db61526cc0ff808a4e0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102711, "title": "Lattice Health: Monitoring and governance for deployed medical imaging AI", "tagline": "Keeping your imaging models safe and compliant", "body": "Hey YC!\n\nI'm Christine Park, founder of Lattice Health. We make sure the AI that hospitals deploy on medical imaging keeps working after it goes live.\n\nLaunch video: \n\nWebsite: \n\n**The problem.** Hospitals are adopting medical imaging AI faster than ever. But once a model is live, almost no one can answer a basic question: is it still working? Models drift, a scanner upgrade or a shift in the patient population can quietly degrade accuracy, and performance often varies across patient groups. Most of that goes unseen today, and it's the hospital, not the vendor, that carries the risk.\n\n**What we built.** Lattice is a monitoring and governance layer for deployed imaging AI. We plug in beside the imaging pipeline as a read-only observer and continuously check each model: how well it agrees with the radiologist's read, whether it's drifting over time, and how it performs across patient subgroups. Then we turn that into the evidence hospitals need for safety, governance, and compliance. Lattice never touches patient care, it only watches, so if Lattice stops, care continues.\n\n**Why now.** AI is moving into clinical use under a wave of new expectations from the FDA, ONC, and the ACR, and they all point to the same gap: continuous post-deployment monitoring. Hospitals are on the hook for it and have almost no tooling to do it.\n\n**Our ask.** We'd love intros to health system and radiology leaders, CMIOs, and anyone running AI governance at a hospital, as well as imaging AI vendors who want their models monitored well in the field. And if you have thoughts or hard questions, drop them in the comments or email me at [christine@latticehealthai.com](mailto:christine@latticehealthai.com)", "url": "https://www.ycombinator.com/launches/Qid-lattice-health-monitoring-and-governance-for-deployed-medical-imaging-ai", "votes": 8, "created_at": "2026-06-10T15:31:08.691Z" } ] }, { "id": 31534, "name": "Astraea", "slug": "astraea", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a54f06b55a2ed047cbb87b6611e0a25bcf346a72.png", "website": "https://tryastraea.com", "all_locations": "San Francisco, CA, USA", "long_description": "Astraea automates clinical trial biometrics from raw study inputs to FDA-ready outputs. The platform handles data normalization, CDISC mapping, SDTM, ADaM, TFLs, QC, and revision workflows in one auditable system, helping Phase II/III sponsors reduce months of manual programming and data management into automated, reviewable execution.", "one_liner": "AI Operating System for Clinical Development", "team_size": 6, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778617120, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/astraea", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/astraea.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/115544127", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a54f06b55a2ed047cbb87b6611e0a25bcf346a72.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": 3227004, "full_name": "Joshua Wang", "title": "Founder/CEO", "founder_bio": "Stanford dropout previously studying CS and Math. Top 250 united states (USAMO) Qualifier, USACO Platinum, first intern at Salient (W23) developing enterprise systems.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joshua-wang-229196319/", "x_url": "https://x.com/joshwqngsr", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20b59f9354726907ca1adcbd62a6443d92471eef.jpg" }, { "user_id": 3368260, "full_name": "Sanmay Sarada", "title": "Founder/CTO", "founder_bio": "prev Data Engineer @ Baylor College of Medicine | 4 Publications in Fetal Medicine | CS and Bio at Stanford", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sanmay-sarada/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e8d6b175fe0ce7e588bb753d048a2f9e9add2491.jpg" } ], "jobs": [ { "id": 96164, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/astraea/jobs/Pv0rNPd-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $300K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "React", "TypeScript", "Prompt Engineering", "AI Agents", "LangChain" ] }, { "id": 110337, "title": "Founding GTM Lead", "url": "https://www.ycombinator.com/companies/astraea/jobs/FPEy38E-founding-gtm-lead", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $150K", "equity_range": "0.25% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112579, "title": "QA Engineer", "url": "https://www.ycombinator.com/companies/astraea/jobs/B99nCmA-qa-engineer", "location": "Remote", "type": "Contract", "role": "Engineering", "role_type": "QA engineer", "salary_range": "$25K - $75K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 101307, "title": "Astraea - Agents Accelerating clinical trials.", "tagline": "Astraea is an agentic platform that automates clinical trial data analysis and statistical programming, from raw study data to CDISC-compliant datasets, TFLs, and FDA-ready outputs.", "body": "# **TL;DR**\n\nClinical trial analysis is still shockingly manual.\n\nAfter a study collects data, teams spend months converting raw clinical data into SDTM, ADaM, TFLs, and submission-ready packages. This work is slow, expensive, and error-prone.\n\nAstraea is a platform that completely automates the end-to-end biometrics pipeline from just a protocol and the raw data to a submission ready output. We are starting with oncology and rare disease studies, where analysis complexity is high and every month saved matters.\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/b76b7415-1d15-4060-9cbd-22e974712bb0)\n\n**The Problem**\n\nToday, sponsors and CROs still rely on large teams of statistical programmers, biostatisticians, and data managers to manually transform messy clinical data into regulatory outputs.\n\nA single study can require:\n\n1. Raw data cleaning and reconciliation\n2. SDTM mapping\n3. ADaM dataset creation\n4. TFL shell generation\n5. Statistical programming\n6. QC and validation\n7. Regulatory formatting and traceability\n\nFrom our customer conversations, this can take around 9 months with teams of 5-10 people communicating asynchronously. And the process is still full of Word docs, Excel specs, SAS programs, manual handoffs, version-control issues, and repeated QC cycles.\n\nUltimately, this means slower decisions, delayed filings, higher CRO spend, and less control over the most important data in the company.\n\n## **Our Solution**\n\nWe built the first AI native platform for clinical trial biometrics.\n\nAstraea takes study inputs and automatically generates the datasets, analysis specs, statistical code, and outputs required for regulatory review.\n\nThe pipeline:\n\n1. Ingest raw clinical data, protocol, and study metadata\n2. Generate TFL shells, SAP, eCRF from the protocol and study design\n3. Generate CDISC-compliant SDTM datasets\n4. Generate ADaM datasets and analysis-ready variables\n5. Produce tables, figures, listings, and traceable statistical programs\n6. Run QC checks and generate FDA-ready outputs\n\nWe are the first to actually completely automate workflows across SDTM, ADaM, TFL generation, Pinnacle 21 checks, and specification creation.\n\nFor ongoing studies, we have compressed work that normally takes months into days.\n\n## **Why Now**\n\nClinical trials are becoming more complex, but the tools have not improved in the last 20 years (something an actual customer said). At the same time, AI models can finally reason across protocols, SAPs, data dictionaries, clinical datasets, and regulatory standards.\n\nThat unlocks something new: biometrics workflows that are not just assisted by software, but executed by agents.\n\nAstraea is not replacing scientific judgment. We are automating the manual programming and data wrangling that slows teams down, while keeping humans in the loop for review, validation, and regulatory decisions.\n\n## **Our Team**\n\n![uploaded image](/media/?type=post&id=101307&key=user_uploads/3227004/13d628c7-5571-42b0-960a-1b7246effa4c)\n\n\\*\\*Joshua Wang: Co-founder, CEO\\\n\\*\\* Stanford, math/CS. Built multi-agent AI systems and clinical data automation workflows. Previously worked on production AI systems for enterprise customers.\n\n\\*\\*Sanmay Sarada: Co-founder, CTO\\\n\\*\\* Stanford CS. Built clinical and hospital data infrastructure across diagnostic software systems. Focused on regulated healthcare workflows and data pipelines.\n\nWe started Astraea because people close to us in pharma kept describing the same bottleneck: clinical trial analysis was too manual, too slow, and too dependent on fragmented CRO workflows.\n\nSo we built the automation layer we wished existed.\n\nFind us at [**founders@tryastraea.com**](mailto:founders@tryastraea.com)\n\n", "url": "https://www.ycombinator.com/launches/QLz-astraea-agents-accelerating-clinical-trials", "votes": 62, "created_at": "2026-05-14T00:51:51.078Z" } ] }, { "id": 31535, "name": "Arlo Industries", "slug": "arlo-industries", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9516f2cea09963c1b9ba307c35589a5d194c61c0.png", "website": "https://arlo1.com/", "all_locations": "New York City, NY, USA", "long_description": "Arlo Industries is building a network of sensors that precisely tracks stealthy drones and aerial threats better than radars.\r\n\r\nThis capability does not exist yet because traditional radars are built on past war doctrines designed to protect single, centralised assets. Modern warfare, however, demands wide-area, persistent coverage that is both passive and economically scalable. By utilising a mesh architecture, Arlo Industries unlocks unprecedented asymmetric economics. The network is fundamentally built to scale: the cost of adding sensors grows linearly, but the tracking accuracy increases exponentially, delivering highly resilient, persistent coverage for a fraction of the cost of legacy systems.\r\n\r\nDeo founded Arlo Industries after spending over 6 years in the Israeli defence ecosystem, where he lived through multiple conflicts and experienced the Iron Dome and other systems in action against ICBMs and the infamous Shahed drones. Learning exactly how these defence systems could be improved after a Shahed exploded close to his apartment, he built Arlo Industries around the core philosophy that conflict should be concise & precise.\r\n\r\nThe people behind Arlo1 includes a PhD in drones and autonomy and military experts.\r\n\r\nArlo Industries has actively showcased this technology directly to Ukrainian militaries on the frontlines, as well as to operators across Europe and the USA.", "one_liner": "Track drones and missiles without radars - Accurate, Passive, Scalable", "team_size": 3, "industry": "Industrials", "subindustry": "Industrials -> Defense", "launched_at": 1778901342, "tags": [ "Hard Tech", "Hardware", "Defense" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Defense" ], "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/arlo-industries", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arlo-industries.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/109767109/", "x_url": "https://x.com/deoarlo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9516f2cea09963c1b9ba307c35589a5d194c61c0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8c30398e6fbec40fc7ceb036a37a0024c0926d77.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/c2bbb6ca28e8561d0326f8b86f11ce2c2bbb1a06.png" ], "primary_partner": { "name": "Andrew Miklas", "url": "https://www.ycombinator.com/people/andrew-miklas" }, "founders": [ { "user_id": 836806, "full_name": "Deo Arlo (Iron Dome Guy)", "title": "Founder/CEO", "founder_bio": "Deo is the Founder and CEO of Arlo Industries. He studied Mechanical Engineering at Technion Israel (birthplace of the Iron Dome) and lived there for over 6 years under multiple wars. As a Robotics Researcher at Technion, he developed and patented a novel robotic invention that spun out into a venture-backed company. Before Arlo Industries, he was the Co-founder and CTO of Makrverse, a funded platform helping engineers own and commercialise their inventions.", "is_active": true, "linkedin_url": "https://linkedin.com/in/deoarlo", "x_url": "https://x.com/deoarlo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9af3f2e9119170995152885140fc223f0d1b75f5.jpg" } ], "jobs": [ { "id": 95369, "title": "Perception Engineer (Edge CV/AI)", "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/MdmYa3Z-perception-engineer-edge-cv-ai", "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)", "type": "Full-time", "role": "Engineering", "role_type": "Hardware", "salary_range": "$100K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "TensorFlow", "Distributed Systems", "Deep Learning", "CUDA", "GPU Programming", "OpenCV", "Computer Vision", "Embedded Linux", "Firmware", "Machine learning", "Sensor integration" ] }, { "id": 95372, "title": "Communications & Networking Engineer (Mesh / RF / Edge Systems)", "url": "https://www.ycombinator.com/companies/arlo-industries/jobs/RZXGfgu-communications-networking-engineer-mesh-rf-edge-systems", "location": "San Francisco, CA, US / Troy, NY, US / Remote (Kyiv, Kyiv city, UA; Helsinki, Uusimaa, FI)", "type": "Full-time", "role": "Engineering", "role_type": "Electrical", "salary_range": "$150K - $250K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "C++", "Python", "TCP/IP", "Distributed Systems", "Software Architecture", "Information Security", "Embedded Linux", "Firmware", "Internet of Things (IoT)", "Microcontrollers", "Sensor integration" ] } ], "news": [], "launches": [ { "id": 101954, "title": "Arlo Industries: We track drones and missiles without radar 🚀", "tagline": "We build sensors that track drones & missiles better than radars", "body": "---\n\n**Hi, I'm Deo, founder of [Arlo Industries](https://arlo1.com/).**\n\n\n\n**The problem**\n\nModern air defence depends on active radars: expensive, emitting, and targetable. A single ground-based radar unit can cost tens of millions, broadcasts its location to anything listening, and leaves massive coverage gaps against low-altitude threats like drones.\n\nThis architecture was built for a different era. Today's threat, swarms of cheap drones and cruise missiles flying below radar coverage, exploits every weakness of centralised, active sensing.\n\n**What we're building**\n\nMentat is a passive, distributed sensing network.\n\n* **Tracks aerial objects in 3D without emitting**: invisible to the threats it detects\n* **Accurately track smaller threats**: our mesh works together to better pinpoint small targets\n* **Scales via many low-cost nodes**: instead of a few high-value targets, we employ asymmetric economics where adding nodes grows linearly in cost but tracking accuracy increases exponentially\n\nWe're the sensing layer, the force multiplier for every interceptor and C-UAS system in the market.\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/ddbe92c9-897d-4e52-90ab-c8574ed7335c)\n\n**What we're really building**\n\nDrone detection is our wedge, not our ceiling. The real innovation isn't in any single sensor, it's in the network that ties it all together. We're building the foundational sensing and communications infrastructure layer for frontline defence. A distributed, resilient network that future defence technologies will plug into. Like the **Starlink before the Starship.**\n\n**Why now**\n\nLow-altitude airspace is increasingly contested. Ukraine, Nordics, Eastern Europe, & Middle East, operators everywhere are discovering that the cost curve of traditional radar doesn't scale against distributed drone threats. At the same time, edge compute, distributed systems, and passive optical sensing have reached the point where a fundamentally different architecture is viable.\n\n**Backstory**\n\nI spent 6+ years in Israel, living through multiple conflicts and seeing systems like Iron Dome operate against ballistic missiles and drones firsthand. When a Shahed drone exploded near my apartment, the gap between what exists and what's needed became personal. Since then, I've been in Ukraine and across Eastern Europe, working directly with military operators and validating in real conflict environments.\n\n📍Field Test - Ukraine\n\n![uploaded image](/media/?type=post&id=101954&key=user_uploads/836806/b380d961-dde4-4e50-b6eb-1cbf708e6d3c)\n\n**Traction**\n\n* Active technology demonstrations with Ukrainian military on the frontlines\n* Partnerships and military relationships across USA, Ukraine, Finland, and Estonia.\n* Team includes a PhD in drones/autonomy and military domain experts\n\n**Our asks**\n\n🔧 **Hiring:** We're looking for engineers in optics, signal processing, long-range comms, mesh networks, and off-grid embedded systems → [Jobs page](https://www.ycombinator.com/companies/arlo-industries/jobs)\n\n🤝 **Intros:** Defense operators, C-UAS companies, or critical infrastructure partners (airports, energy, borders) dealing with aerial awareness gaps → please reach out on [Linkedin](https://www.linkedin.com/in/deoarlo/)", "url": "https://www.ycombinator.com/launches/QWQ-arlo-industries-we-track-drones-and-missiles-without-radar", "votes": 55, "created_at": "2026-05-26T05:39:42.686Z" } ] }, { "id": 31536, "name": "PumpGTM", "slug": "pumpgtm", "former_names": [ "Giga Next Inc", "Giga Catalyst", "Gigacatalyst" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f036b6b16ede0b0a7e4c426862254c490d653c42.png", "website": "https://pumpgtm.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Your favorite AI's favorite GTM tooling\r\n\r\nWe connect your LinkedIn, Email, and X and find you leads and get you sales while you sleep", "one_liner": "Find and engage with desperate buyers across LinkedIn, Email, and X", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1775192956, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/pumpgtm", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/pumpgtm.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/pumpgtm", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pumpgtm", "github_url": "https://github.com/pumpgtm", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f036b6b16ede0b0a7e4c426862254c490d653c42.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": 118028, "full_name": "Namanyay Goel", "title": "Founder/CEO", "founder_bio": "Making the most advanced AI for SaaS companies to increase usage, retention, and expansion.\n\nCoding since 13. Sharing AI engineering lessons to 4M+ readers on my blog.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/namanyayg/", "x_url": "https://x.com/NamanyayG", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87963b49263c85b8fa1ee8aa21298b1931a56877.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101321, "title": "Gigacatalyst - Customize your software to every user with AI", "tagline": "Give your sales and CS teams superpowers to build missing features, so you win more deals, increase stickiness, and ship faster", "body": "Hey YC! 👋 I'm Namanyay.\n\n**TL;DR:** Gigacatalyst allows sales and CS teams to build missing features that customers need, so you stop losing business because of feature gaps. We’ve helped our customers unblock $1M in sales in 6 weeks.\n\n\n\n### Problem\n\nWhen you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps, or, customers end up using workarounds. No software can adapt to all customer workflows.\n\nThis creates three compounding problems:\n\n1\\. **You lose competitive deals** — customers choose vendors that have the exact workflow they operate on.\n\n2\\. **Customers don’t fully adopt** — they buy, but the product doesn’t match how they actually work. So they build workarounds and usage stays low, affecting renewals.\n\n3\\. **Your backlog fills with one-off requests** — when you sell to many different types of companies, each customer needs something slightly different.\n\n### How Gigacatalyst Works\n\nGigacatalyst embeds directly inside your SaaS product, built on your APIs and design system and governed by your auth and security. Your customers and team members can build new missing workflows in natural language.\n\n![uploaded image](/media/?type=post&id=101321&key=user_uploads/118028/9bd0ac4c-be86-4a72-b320-97d5c6c5eb0f)\n\n\\- A Solutions Engineer types _\"Build a KPI dashboard for maintenance performance\"_ → working dashboard on real data in \\~1 minute\n\n\\- A customer asks for _\"a photo upload tab that OCRs asset labels and creates a record\"_ → deployed without waiting for engineers\n\n\\- A vertical enterprise needs _\"custom lifecycle tracking\"_ → delivered in minutes, not quarters\n\nEach built app runs in a sandbox and inherits your existing auth and RBAC. Everything is native, governed, and shareable.\n\n### Results\n\n\\- $1M+ in pipeline unblocked in 6 weeks\n\n\\- 70% day-30 retention\n\n\\- $100K in churn prevented\n\n\\- 800+ features shipped in 6 weeks (\\~2,400 engineering hours equivalent)\n\n![uploaded image](/media/?type=post&id=101321&key=user_uploads/118028/3c0f88ed-593b-433f-add6-5bcf4abc1386)\n\n### Asks\n\n1\\. **If you’re a B2B SaaS founder losing deals** - try Gigacatalyst: \n\n2\\. **Know a CRO, VP Sales, or CPO at a vertical SaaS company?** Forward this - if relevant, they' will get a lot of value\n\nLearn more: \n\nTalk to founder: ", "url": "https://www.ycombinator.com/launches/QMD-gigacatalyst-customize-your-software-to-every-user-with-ai", "votes": 16, "created_at": "2026-05-14T06:55:30.055Z" } ] }, { "id": 31538, "name": "flowscope", "slug": "flowscope", "former_names": [ "GEO Advisor" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8294685f458783c2fab7247c8fd749f25be5691c.png", "website": "https://flowscope.com", "all_locations": "San Francisco, CA, USA", "long_description": "flowscope is an AI implementation firm that deploys agents to map, optimize, and automate companies’ processes end to end", "one_liner": "AI implementation firm that maps and automates business processes", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1778457195, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/flowscope", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/flowscope.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/flow-scope", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8294685f458783c2fab7247c8fd749f25be5691c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/09044fbb9e4c204fdde3361c550002161ec46fde.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2941497, "full_name": "Samuel Mirpuri", "title": "Founder/CEO", "founder_bio": "McKinsey (QuantumBlack)\nHarvard MBA\nSatellite Engineer MIT\nAeronautical Engineering, Imperial College\nPlatoon commander, Singapore Armed Forces", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samuel-mirpuri", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01c1dd704d4b2c62f3153bbee0b0961b92c14c47.jpg" }, { "user_id": 879666, "full_name": "Javier Leguina", "title": "Founder/CTO", "founder_bio": "2x founder\nFounding Engineer ModelML (W24)\nML Engineer Encord (W21)\nMSc Machine Learning (UCL)\nAeronautical Engineering (Imperial College)", "is_active": true, "linkedin_url": "https://linkedin.com/in/jleguina0", "x_url": "https://x.com/jleguina0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/934205d5fa61cd6933adbb524ad1ac3d9d30002c.jpg" } ], "jobs": [ { "id": 111092, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/flowscope/jobs/l9IvfsO-founding-engineer", "location": "San Francisco, CA", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $250K", "equity_range": "0.50% - 1.50%", "experience": "2+ years", "visa": "US citizen/visa only", "skills": [ "Microsoft Azure", "Rust", "TypeScript", "Windows", "Next.js", "LLMs", "AI Agents" ] } ], "news": [], "launches": [ { "id": 120295, "title": "flowscope: Your in-house AI process consultant", "tagline": "Map your processes in two weeks, then deploy AI where it delivers the most value", "body": "**TL;DR**\n\nOur new AI process consultant makes AI implementation simple. Companies can now map out entire departments autonomously in two weeks, see where AI can deliver the most value, and deploy AI systems into production.\n\n\n\n**The problem**\n\nAI models have never been more powerful, but most companies still haven't put them to work. The hardest part is deployment: every company runs on fragmented systems and decades of manual processes. Fitting AI into those systems currently takes months of interviews, consultants and integrators.\n\n**How it works**\n\nOur agents:\n\n1\\. Map your business processes\n\n2\\. Reengineer your operations around AI\n\n3\\. Deploy AI systems into production\n\n**Why we built this**\n\nWhen I was a consultant at McKinsey, it would take months of interviews just to understand how a company operates. Javier deployed enterprise AI as a founding engineer at Model ML (YC W24). Together we built flowscope to solve AI implementation.\n\n**Our ask**\n\nBook a demo at [flowscope.com](http://flowscope.com) or email us at [samuel@flowscope.com](mailto:samuel@flowscope.com). If you know CEOs/CFOs at mid-market enterprises or PE operating partners, we'd love an intro.", "url": "https://www.ycombinator.com/launches/VIF-flowscope-your-in-house-ai-process-consultant", "votes": 4, "created_at": "2026-10-07T01:44:43.327Z" }, { "id": 101162, "title": "flowscope: agentic process mining and automation", "tagline": "flowscope is an AI-native consulting firm that uses agents to map and automate business processes", "body": "TLDR: _flowscope deploys agents that learn and document how your business actually runs: who touches what, where it stalls, what's pure repetition. Our agents redesign and automate these processes, shipping AI into production on your existing systems. In days, not months._\n\nLearn more at \n\nVideo Launch: \n\n**The problem**\n\nThe hard part of enterprise AI isn't the models anymore, it's deploying them against the messy reality of how businesses actually run.\n\nEvery company has the same problem: invoices re-keyed between systems, approvals chased over email, the same spreadsheet rebuilt every week. The AI tools that could fix it are stuck in proofs of concept: integration is painful, your team doesn't have the bandwidth, and the consultants you hired left you with a deck and a bill.\n\n**What we're building**\n\nflowscope fixes this. Our agents sit on top of your existing tools and learn how your team actually works: who touches what, where things stall, what's pure repetition. Within days, you get a map of your processes, a redesign of how the work should flow, and the automation shipped into production. Not a deck. Not a pilot. Working software on the systems you already have.\n\n**About Us**\n\n**Javier Leguina:** 2x founder, Founding engineer Model ML (YC W24)\n\n**Samuel Mirpuri:** Quantum Black (AI by McKinsey), Platoon Commander Singapore Armed Forces\n\n**Asks**\n\n1\\. Intros to CFOs or COOs at mid-market or enterprise companies with manual finance, admin or ops processes.\n\n2\\. Intros to PE operating partners working on improving operational efficiencies at portfolio companies.\n\nLearn more at \n\n![uploaded image](/media/?type=post&id=101162&key=user_uploads/2941497/9832115c-cbd5-4602-8161-9a1349babc92)\n\n", "url": "https://www.ycombinator.com/launches/QJe-flowscope-agentic-process-mining-and-automation", "votes": 45, "created_at": "2026-05-11T07:19:56.910Z" } ] }, { "id": 31539, "name": "Klaimee", "slug": "klaimee", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/28ec0b5eb9ee17aca79ca3ae9075dcef5cfe09eb.png", "website": "https://www.klaimee.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Klaimee is the first insurance for your AI agents. It covers what traditional E&O and cyber explicitly carve out, so you can deploy agentic AI at scale with real peace of mind.\r\nBuilt for companies deploying agentic AI, self-serve from day one.\r\n\r\nThe problem: AI agents are taking actions autonomously buying, emailing, modifying sensitive data. AB 316 already holds deployers liable. EU AI Act enforces in August. Cyber and E&O insurance are excluding AI claims. Companies shipping agents have zero coverage and no third-party proof their agent is safe. Enterprise legal asks \"who pays if your agent breaks something?\" and there's no good answer.\r\n \r\nWe built the answer. Critical-category risk evaluation, certification, financial guarantee, liability insurance and the documentation enterprise procurement needs to sign off.\r\n\r\nTeam: Ines (ex-General Manager at SafetyWing, grew insurance product from $5M to $60M revenue, 5 years launching insurance products from scratch and structuring a TokioMarine MGA into its own carrier) + Julien (AI software engineer + corporate strategy, enterprise compliance).\r\n\r\nWe understand how insurance works, what enterprises require, and why startups can't wait 6 months for either.", "one_liner": "Liability insurance for AI Agents. You deploy agents, we cover you.", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1775456412, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "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 agents can now execute financial transactions, access sensitive data, and take real-world actions, but there is no insurance, no certification, and no clear liability framework for when they fail.\r\n\r\nThis is the same gap that existed with cyber risk in the early 2000s, before a $15B+ insurance market emerged. We’re at that same inflection point with AI.\r\n\r\nThe signals are already there: AI-related incidents are being carved out of traditional liability coverage, lawsuits are growing rapidly, and enterprises are still under pressure to deploy AI. The result is a fast-growing, unaddressed risk layer.\r\n\r\nWe saw this firsthand. We were building AI agents for claims processing: handling payments and decisions inside regulated environments. Every customer asked the same question: who is liable when the agent gets it wrong? There was no answer.\r\n\r\nThat’s when it became clear: this infrastructure has to exist before enterprise AI can scale.\r\n\r\nInes had already built insurance products from zero at SafetyWing, including carrier relationships and underwriting frameworks. We realized we were uniquely positioned to build the certification and insurance layer for AI agents - so we did." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Every transformative technology needs a trust layer before it can scale.\\\r\nThe internet needed cybersecurity. Cloud computing needed compliance and audit standards.\r\n\r\nAI is next.\r\n\r\nToday, AI agents can act but they can’t be trusted at scale. There is no standard for how they’re evaluated, no clear liability when they fail, and no infrastructure to make them safe to deploy in critical environments.\r\n\r\nIf we succeed, the liability and certification framework we build won't just protect enterprises, it will make AI itself safer, more accountable, and more auditable at a global scale. We are not just selling insurance. We are building the infrastructure that allows the agentic world to exist." } ], "url": "https://www.ycombinator.com/companies/klaimee", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/klaimee.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/klaimee", "x_url": "https://x.com/klaimee_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/28ec0b5eb9ee17aca79ca3ae9075dcef5cfe09eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/2f1148f58e99936976af75a93c3a72e1a0f2369b.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2955371, "full_name": "Ines Boutemadja", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO. Building insurance for AI risk.\n\nFormer GM at SafetyWing (W18), where I built carrier insurance infrastructure and launched new insurance products from scratch. Now applying the same playbook to AI agents, giving companies the liability coverage they need to deploy AI with confidence. \n\nHEC Paris (Grande École) and NUS (Msc in Management) graduate.\nMultilingual (Arabic, French, Spanish, English, Mandarin).\nFirst Algerian women in YC.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/inesboutemadja", "x_url": "https://x.com/inesboutem", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/01659be91af5ea3f17af0d035e0dd7dafde6a867.jpg" }, { "user_id": 1500510, "full_name": "Julien Catonnet", "title": "Founder/CTO", "founder_bio": "From corporate strategy to software engineering. Co-founder and CTO of Klaimee, AI agent risk certification and liability coverage. Self-serve", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julien-catonnet-18624162/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dac5da6f2f594e6cff6e3d1c2f5a4e030bf4a20.jpg" } ], "jobs": [ { "id": 103073, "title": "General Counsel & Head of Insurance", "url": "https://www.ycombinator.com/companies/klaimee/jobs/CXFmWvr-general-counsel-head-of-insurance", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Legal", "role_type": null, "salary_range": "$200 - $300", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 105317, "title": "Founding GTM Lead ", "url": "https://www.ycombinator.com/companies/klaimee/jobs/yBVUdLJ-founding-gtm-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80 - $150", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 106309, "title": "Growth Marketer (Founding) ", "url": "https://www.ycombinator.com/companies/klaimee/jobs/yqjRU31-growth-marketer-founding", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$75 - $110", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 106312, "title": "Founding Broker Partnerships Lead", "url": "https://www.ycombinator.com/companies/klaimee/jobs/z9edN2S-founding-broker-partnerships-lead", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$80 - $150", "equity_range": "", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 107266, "title": "Growth Marketer (Intern) ", "url": "https://www.ycombinator.com/companies/klaimee/jobs/VkqRyxv-growth-marketer-intern", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$50K - $80K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 100700, "title": "Klaimee insures your AI Agents", "tagline": " Klaimee is the first purpose-build E&O coverage for AI agents.", "body": "**TL;DR: [Klaimee](https://klaimee.ai) is the first insurance for your AI agents. It covers what traditional E&O and cyber explicitly carve out, so you can deploy agentic AI at scale with real peace of mind.**\n\n80% of Fortune 500 companies are already using AI agents. That’s creating a new kind of liability risk no one is really covering yet.\\\nEnterprises want AI. But they want to know “who pays if something goes wrong”? There’s no clear answer today.\\\nMeanwhile, AI-related lawsuits are up 137% between 2024 and 2025.\n\n> 👋 Hi, we are Ines and Julien.\\\n> [Ines](https://www.linkedin.com/in/ines-boutemadja/) was General Manager at SafetyWing (W18), she spent the last 5 years building insurance products from scratch, structured a Tokio Marine MGA, and got the Puerto Rico carrier license, scaling an insurance startup from $5M to $60M. She ran this playbook before, doing it again, AI-native this time.\\\n> [Julien](https://www.linkedin.com/in/julien-catonnet/) handles the engineering and enterprise compliance side. He has a strategy consulting background, working with corporates and insurance, coupled with a deep software engineering and AI expertise.\\\n> 🔥 Our team brings the best of both worlds to underwrite the new emerging AI risk.\n\n### **💡 The opportunity:**\n\nTraditional insurance was built for deterministic software; it either works or throws an explicit error. AI agents fail silently and not uniformly. So cyber won't cover it. E&O won't cover it either.\n\nThe existing insurance industry lacks the velocity and deep AI knowledge to fill this gap.\n\nWe built [Klaimee](https://klaimee.ai) to do exactly that: we provide liability insurance, financial guarantee, critical risk evaluation, certification, and procurement documentation enterprises require, all in under 24 hours.\n\nWatch our launch video below \n\n### **⚙️ How we do it:**\n\nTo insure AI agents, we had to reinvent how traditional underwriting works. Our proprietary, three-block system determines an agent’s risk score and insurance price:\n\n1. **Public Data Scan:** We scan publicly available data related to the agent.\n2. **Governance Assessment:** We ask 30 questions concerning the agent’s governance.\n3. **Behavioral Testing:** We actually test your agent’s behavior, firing more than 100 probes (prompt injection, jailbreak, decision drift, data leakage, biased outputs) to understand _when_ and _how_ it fails.\n\n![uploaded image](/media/?type=post&id=100700&key=user_uploads/2955371/49d6f4de-8787-48c4-a6b2-728323148e81)\n\n![uploaded image](/media/?type=post&id=100700&key=user_uploads/2955371/9ebe5a9c-7ce0-4d29-b3f5-c7017ca8d0d7)\n\n**Score it. Certify it. Underwrite it. Insure it ▷ with a 24h turnaround.**\n\nWe bring the trust layers so startups and enterprises can deploy agentic AI with peace of mind.\n\n### **🛡️ What we cover: AI agents in healthcare and biotech, finance & accounting, IT & software development, law & legal tech, customers support and sales agents.**\n\nAI Agents act like humans: they take actions, make decisions, and have a real impact that can cause damages. At[ Klaimee](https://klaimee.ai), we cover the actual behavior of the AI agents. Real failure modes happening in production right now:\n\n* An agent hallucinated a contract clause your customer relied on.\n* An agent leaked one patient’'s data to another.\n* An agent made a biased call in lending, hiring, or pricing.\n* An agent took an unauthorized action with financial damage downstream.\n\n### **⌛️ Why now:**\n\nMajor insurers like Berkshire, Chubb, and Travelers are winning state approval to exclude AI liability from standard commercial policies, leaving every agent-deploying company exposed. And it is leaving every agent-deploying company exposed.\n\nThe ISO, which sets standards for 70% of the U.S. market, is making AI exclusions the default for Commercial General Liability policies (ISO CG 40 47 / CG 40 48 endorsements). The EU AI Act enforces in August 2026.\n\nEvery Fortune 500 procurement team is now asking the AI insurance question, and the answer from incumbents is \"we exclude that.\"\n\nThe same thing happened with cyber 20 years ago. It got carved out of existing policies. A whole new line of insurance was created. The same shift is happening with AI right now. And nobody has built the product for it yet.\n\nInes has done this in insurance before. Julien goes deep on the AI side. Together we know how to actually price the risk.\n\nWe understand what enterprise buyers need to see, and why a startup can’t sit around for 6 months waiting on a traditional carrier.\n\nIf you’re shipping AI agents into enterprise, you should already be thinking about coverage.\n\n### We’re underwriting our first cohort now → [**klaimee.ai**](http://klaimee.ai)", "url": "https://www.ycombinator.com/launches/QCC-klaimee-insures-your-ai-agents", "votes": 44, "created_at": "2026-05-03T23:41:44.304Z" } ] }, { "id": 31540, "name": "KugelAudio", "slug": "kugelaudio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/44c1f17a88c6716d09288318cb5f9de77b9bdbbb.png", "website": "https://kugelaudio.com/en", "all_locations": "Berlin, Berlin, Germany", "long_description": "Kugel is an enterprise-ready TTS model, available on-prem, with a focus on 30+ languages and low latency. ", "one_liner": "Kugel is an on-prem Voice AI model supporting 30+ languages ", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1777590592, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/kugelaudio", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/kugelaudio.json", "year_founded": 2025, "city": "Berlin", "country": "DE", "linkedin_url": "https://de.linkedin.com/company/kugelaudio", "x_url": "https://x.com/KugelAudio", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/kugelaudio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/44c1f17a88c6716d09288318cb5f9de77b9bdbbb.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": 2385896, "full_name": "Viktor Presber", "title": "Founder", "founder_bio": "Co-Founder of KugelAudio, building foundational Text-To-Speech models for customer support. Started founding ventures at 17 with a local video production company. Later co-founded full-house.io, scaling to $300K ARR in six months with enterprise clients like Siemens Energy, Hitachi Rail, and Barilla. Previously co-founded Sagemode, securing partnerships with two major esports teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/viktor-presber", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/292b5b530e0dcd807d063494a7fcffe268d73a9d.jpg" }, { "user_id": 1625902, "full_name": "Kajo Kratzenstein", "title": "Founder/CTO", "founder_bio": "Founder at KugelAudio (YC P26). Previously CTO at Sagemode, scaling an in-game AI coach to 1,000+ users with deep League of Legends integration. Built production aneurysm detection model at Floy GmbH. MA and BSc in Computer Science from Hasso Plattner Institute.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kratzenstein", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/13d970157877e6d170963a2e971eac2dc71c2904.jpg" } ], "jobs": [ { "id": 104355, "title": "Berlin · Part-time · On-site", "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/WKo2Gk0-berlin-part-time-on-site", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [ "Adobe Premiere" ] }, { "id": 111590, "title": "Founding Sales (Outbound)", "url": "https://www.ycombinator.com/companies/kugelaudio/jobs/OujwnhC-founding-sales-outbound", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$60K - $120K", "equity_range": "0.01% - 0.35%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 102000, "title": "KugelAudio: A multilingual voice AI model you can run in your own cluster.", "tagline": "Human-like TTS for 30+ languages, on-prem and low latency", "body": "### TL;DR: KugelAudio is a multilingual voice AI model that generates natural speech in 30+ languages and can run fully on-prem in your own Kubernetes cluster.\n\n### \n\n**Launch Day Special 🚀**\\\nBook a demo and mention our launch: we’ll give you **20% off.** \\\n\\\n\\\n**Problem**\n\nCurrent TTS models are English-first and cloud-hosted. Kugel speaks 30+ languages and dialects natively like Bavarian German, Northern Irish English, or Yemeni Arabic even on edge cases like email addresses, phone numbers, or product names. \\\n\\\n**Solution**\\\nDrop our model into your Kubernetes cluster and use voice AI on patient records, financial transactions, or internal customer data without sending anything to a third party.\n\n**A few more things**\n\n* **60ms latency.** One of the fastest TTS models on the market.\n* **IPA notation support** across 30+ languages.\n* **Voice cloning** from a few seconds of audio.\n\n### \n\n**Meet the team**\n\nWe’re a team of two from Germany and Poland.\n\n![uploaded image](/media/?type=post&id=102000&key=user_uploads/2385896/be66da7a-d0de-4690-91d1-1a368e5d0689)\n\nKajo spent the last 2 years researching TTS at Hasso-Plattner-Institut and built the model. Viktor runs commercial and brings the enterprise sales experience. We kept hearing the same thing from enterprise voice buyers: providers mispronounce their product names and their legal team won't sign the DPA anyway. So we built the thing they actually wanted.\\\n\\\n**🤝 Our Ask**\n\nIf you deal with mispronunciations or sensitive voice data:\n\n\\- Book a [demo](https://calendar.app.google/TESsGfQBZzABugb56)\\\n\\\n**Thank you! 🙏**\n\nKajo and Viktor", "url": "https://www.ycombinator.com/launches/QXA-kugelaudio-a-multilingual-voice-ai-model-you-can-run-in-your-own-cluster", "votes": 8, "created_at": "2026-05-27T06:47:39.124Z" } ] }, { "id": 31543, "name": "CentralComs", "slug": "centralcoms", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f6099883faaacd376e6491fdd0920b4de8a2c3c.png", "website": "https://centralcoms.com", "all_locations": "San Francisco, CA, USA", "long_description": "Home services companies lose money on missed calls and idle techs. When the phone rings during a job and nobody picks up, that lead goes to a competitor and the trucks already on the road sit half-booked because dispatch can't keep the schedule tight.\r\n\r\nCentralComs fixes this with AI agents that answer every call, route each job to the right technician, and keep the calendar full. They handle intake, dispatch, and customer updates end to end working inside ServiceTitan, Housecall Pro, and Jobber so no lead slips through and no truck runs empty.\r\n\r\nCapture every call. Book every tech. Never miss a job.", "one_liner": "AI agent platform for home services companies.", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1779989306, "tags": [ "Home Services" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/centralcoms", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/centralcoms.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/centralcoms", "x_url": "", "fb_url": "https://www.facebook.com/people/CentralComs-AI-Property-Management-Services", "cb_url": "https://www.crunchbase.com/organization/centralcoms", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5f6099883faaacd376e6491fdd0920b4de8a2c3c.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": 1562583, "full_name": "Kyle Chang", "title": "Founder/CEO", "founder_bio": "Kyle Chang, CEO — UC Berkeley Data Science. Built CentralComs' AI facility management system solo to $600K ARR, now in use at Nvidia, Cushman & Wakefield, NASA JPL, and more Fortune 500 companies. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kylegchang/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3eaa88fd195dabcb1c5fdd59e6cf7e7f851a9607.jpg" }, { "user_id": 2259075, "full_name": "Kevin Wong", "title": "Founder/CTO", "founder_bio": "Kevin Wong, CTO — Former founding engineer at a venture-backed startup, where he scaled agentic infrastructure systems to support 40,000+ concurrent users. He built and scaled frontier AI video generation technology that generated $XX,XXX in its first month. Industrial Engineering and Operations Research major, UC Berkeley.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kevinzwong/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1467a2b4f7fc190f95bc6215ec26f626b0bf20dc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 114503, "title": "CentralComs — AI Answering Service for the Trades 🛠️", "tagline": "AI answering service for the trades that handles calls, texts, and emails 24/7, books appointments, and follows up with leads to turn more leads into jobs.", "body": "Hey everyone 👋\n\nWe're Kyle and Kevin, co-founders of CentralComs.\n\n### **TLDR:**\n\n[CentralComs](https://centralcoms.com/) is an **AI receptionist and after-hours answering service** for home service businesses like **HVAC, plumbing, and electrical** companies. It answers the calls your office misses, books the appointment into your existing schedule, and then keeps following up on new leads, open estimates, and past customers until they book. **More of the leads you already pay for turn into jobs.**\n\n\n\n### **The Problem ❌**\n\n**Home service companies spend heavily to make the phone ring, then lose a chunk of that revenue before a technician ever shows up.**\n\nWhen the office is busy or closed:\n\n* After-hours and overflow calls go to voicemail\n* New leads sit for hours before anyone calls back\n* Open estimates never get a follow-up\n* Past customers are never reactivated\n* CSRs work callback lists by hand\n* Post-job happy calls happen only when someone remembers\n\nThe expensive part, generating demand, already happened. **The hard part is turning it into booked work.**\n\nMost tools fix one piece. Answering services take messages. VAs and extra CSRs add capacity, but they cost a lot to scale and rarely cover 24/7. Generic AI receptionists answer the phone and stop there.\n\n### **Solution ✅**\n\n**Part 1: AI receptionist and after-hours answering, 24/7**\n\nWhen your office can't pick up, CentralComs does. It answers after-d calls, figures out what the customer needs, qualifies the lead,answers routine questions, and **books the appointment into the schedule you already use**. It handles confirmations and reschedules, and it hands off any conversation that needs a human.\n\n![uploaded image](/media/?type=post&id=114503&key=user_uploads/1562583/82afad82-dec9-4460-b4f4-71c18fb5e736)\n\nIt works alongside the systems your team already uses, so you don'tont office gets 24/7 capacity without another hire.\n\n**Part 2: Automated lead follow-up and customer reactivation**\n\nBooking the first call is only the start. CentralComs keeps working customer hangs up:\n\n* **Speed-to-lead** follow-up on new inquiries\n* **Follow-up on estimates** that haven't closed\n* **Intent gauging**: ready to book, still deciding, or no longer inter\n* **Lead nurture** sequences\n* **Appointment reminders** and confirmations\n* Post-job **happy calls**\n* **Past-customer reactivation** and recontact for future service\n\n![uploaded image](/media/?type=post&id=114503&key=user_uploads/1562583/0331287a-0195-4998-ac9a-ef4b065e3052)\n\nNo CSR has to remember every callback, open quote, and old customer the agent more context on your services, business rules, and customers, so it handles more routine communication over time and passes the judgment calls back to your team.\n\n### **Our Team**\n\nWe're Kyle and Kevin, former UC Berkeley students and longtime AI builders. Kyle previously built and scaled an AI facility-management platform to **$600K ARR**, used by teams at **NVIDIA, Cushman & Wakefield, and NASA JPL**. Kev at a venture-backed startup, where he scaled agentic infrastructure to **40,000+ concurrent users** and later built AI video-generation technology that generated **$XX,XXX in its first month**.\n\n# **Our Asks**\n\nIf you are, or know, any of the following, we'd love to hear from you:\n\n**Home service business owners and operators**: especially HVAC, plumbing, electrical, roofing, and other residential service companies with growing technician teams dealing with high call volume, missed or after-hours calls, slow speed-to-lead, overloaded office staff, open estimates, manual follow-up, or plans to hire another CSR.\n\nIf you're evaluating an **AI receptionist, virtual receptionist, or after-hours answering service** for a home service business, we'd especially like to talk.\n\nYou can reach us at [kyle@centralcoms.com](mailto:kyle@centralcoms.com)\n\n![uploaded image](/media/?type=post&id=114503&key=user_uploads/1562583/fd756d59-f73e-44d5-a9b8-c90b721c0a5a)\n\n![uploaded image](/media/?type=post&id=114503&key=user_uploads/1562583/eecee51b-deef-486e-809c-9e783b963a56)\n\n", "url": "https://www.ycombinator.com/launches/Tmp-centralcoms-ai-answering-service-for-the-trades", "votes": 4, "created_at": "2026-09-10T01:51:06.075Z" }, { "id": 102115, "title": "CentralComs: AI Agents for Residential Property Managers", "tagline": "Your 24/7 AI Property Manager, Maintenance Coordinator and Leasing Agents", "body": "# \n\n---\n\nHey everyone 👋\n\nWe’re Kyle and Kevin; co-founders of CentralComs. We’re children of landlords and are building a solution to a problem we saw all throughout our childhoods.\n\n**TL;DR**\n\nWe run property management workflows such as **leasing, back office, and maintenance coordination workflows from start to finish,** so PM teams run smoother and earn more with the same team size.\n\n\n\n### **The Problem**\n\nProperty management operations are relentless, high-stakes, hands-on work built on relationships with owners, tenants, and vendors that take years to earn and seconds to lose.\n\nIt's overwhelmingly manual: **roughly 90% of the work is still manual** and extremely labor-intensive with **89% of property management companies outsourcing work** to teams overseas.\n\nAbout half of leasing inquiries come in at night and on weekends, when no one's answering. **Conversion drops 7x after the first hour**.\n\nUnresolved work orders are a top reason tenants don't renew, and **every lost renewal costs thousands** once you count turn and vacancy.\n\nThe work is rules-based and repetitive, but it demands constant attention, and missing any single step breaks the chain. That's why these roles scale so badly with headcount— you're paying for someone to be awake at the right moment to do menial tasks.\n\n---\n\n## **Our Solution**\n\n**Maintenance Coordination Agent** Takes a maintenance request from submission to resolution:\n\n* **Intake across any channel** — captures requests from email, SMS, and tenant portals, normalizing them into a single queue\n* **Intelligent triage** — applies a proprietary relative and objective scoring algorithm to prioritize and triage issues in real time as conditions change\n* **Smart dispatch** — routes to the right vendor based on trade, availability, and cost, sends the dispatch, and tracks confirmation\n* **Persistent follow-up** — chases vendors, tenants, and owners intelligently until the job is on track and on schedule\n* **Repair verification** — confirms work was actually completed via tenant sign-off, photo evidence, and vendor confirmation before closing the loop\n* **Invoice processing** — validates invoices against the scope of work and approved estimates, flags discrepancies, and routes for payment approval\n* **Owner & tenant updates** — keeps all parties informed at each milestone without manual outreach\n\n**Leasing Agent** Takes a prospect from first inquiry to complete application:\n\n* **Cross channel intake** — captures leads from listing syndication, email, SMS, web forms, and phone, normalizing them into a single queue\n* **Intelligent qualification** — applies a proprietary relative and objective scoring algorithm to qualify and prioritize prospects in real time as new information comes in\n* **Smart routing** — matches each lead to the right unit, schedules the tour, sends the application, and tracks completion\n* **Document analysis** — reviews submitted IDs, pay stubs, and bank statements, flagging income, completeness, and inconsistencies against your criteria\n* **Verification & screening** — runs identity verification and background/credit screening, then compiles a clean, decision-ready file\n* **Persistent follow-up** — chases prospects intelligently until they're marked qualified\n\n**What makes us different than traditional PMS systems?**\n\n* We handle can handle edge cases proactively, asking for more information, reading documents, and determining the best course of action\n* We don’t automate reply drafts, we send out messages, dispatch calls, retrieve missing information, and push stalled work-orders or application processes to completion.\n\n---\n\n## **Our Ask**\n\n**If you answer \"yes\" to any of these, we'd love your help:**\n\n* Do you know any residential property management operators whose teams are stretched thin, managing multiple systems just to keep up with maintenance and leasing?\n* Do you know any property management companies looking to scale operations without increased labor cost?\n\n**Contact**\n\nReach us at [**founders@centralcoms.com**](mailto:founders@centralcoms.com) or schedule a demo today at[ ](http://atlance.live/)[**centralcoms.com**](http://centralcoms.com)\n\n![uploaded image](/media/?type=post&id=102115&key=user_uploads/1562583/02880dba-2cae-4e2a-9288-f8a2c236c96b)\n\n![uploaded image](/media/?type=post&id=102115&key=user_uploads/1562583/190e0e55-e26c-4f6a-8957-e1be21c3f719)\n\n---", "url": "https://www.ycombinator.com/launches/QZ1-centralcoms-ai-agents-for-residential-property-managers", "votes": 10, "created_at": "2026-05-28T22:30:50.801Z" } ] }, { "id": 31544, "name": "Panacea", "slug": "panacea", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3cb42978681e32c20f28150fda63b8a7d01c37b.png", "website": "https://withpanacea.com", "all_locations": "San Francisco, CA, USA", "long_description": "Panacea provides AI-native FDA regulatory services for Biotechs and Medical Device companies. We hire the most experienced FDA consultants in the industry (ex-FDA, decades of experience, hundreds of filings) and pair them with our AI platform to enable the fastest and lowest cost pathway to FDA approval.\r\n\r\nWhile other regulatory consultants bill hourly, our pricing model is simple: fixed, outcome-based pricing. Payment is only due when milestones are complete.\r\n\r\nWe support all FDA regulatory pathways including IND, NDA, BLA, ODD, Pre-Subs, 510(k), De Novo, PMA, IDE, BDD, etc.", "one_liner": "AI-Native FDA Regulatory Services", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1778968383, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/panacea", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/panacea.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/panacea-bio/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3cb42978681e32c20f28150fda63b8a7d01c37b.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": 3343089, "full_name": "Haris Javed-Akhtar", "title": "Founder/CEO", "founder_bio": "ex-GTM (Partnerships Lead) @ Anterior - backed by Sequoia, NEA and Microsoft AI's CEO. \nMD, Imperial College Medical School, Imperial College Business School.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/haris-javed-akhtar-md-184717256/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d55d0ae14460fa53957030db13d050824624e19c.jpg" }, { "user_id": 3367096, "full_name": "Yaman Ziadeh", "title": "Founder/CTO", "founder_bio": "Ex-AI Platform Engineer @ Anterior - backed by Sequoia, NEA and Microsoft AI's CEO.\nMS in AI from University of Illinois, Chicago.\nEx-Software Engineer @ Bloomberg on the NoSQL data Infrastructure Team.\nCo-founded & bootstrapped Baqi, scaled to $5M+ in transactions with 20+ enterprise partnerships.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yaman-ziadeh", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59550dd07dd3b6bd40e1a680b1c5ec84d95c7d45.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101517, "title": "Panacea: AI-Native FDA Regulatory Services", "tagline": "The best FDA consultants, paired with AI, for faster & lower-cost FDA filings.", "body": "**TLDR**: Panacea hires elite FDA regulatory consultants, and pairs them with our AI platform, to deliver **the fastest and lowest-cost pathway to FDA approval** for Biotechs and MedTechs.\n\n\n\n### **About us**\n\nWe’re Haris and Yaman. We have deep experience within enterprise AI for healthcare.\n\nPreviously, we both worked at Anterior (backed by Sequoia, NEA, Microsoft AI’s CEO) — where we built, sold and deployed our clinical AI platform to US health plans to remove major operational bottlenecks.\n\n[Haris](https://www.linkedin.com/in/haris-javed-akhtar/) (CEO) is an MD and led partnerships on Anterior’s GTM team (2nd GTM hire), selling to the biggest healthcare enterprises in the US and landed Anterior’s first health plan and partnership customers.\n\n[Yaman](https://www.linkedin.com/in/yaman-ziadeh/) (CTO) has an MS in AI was an AI Platform Engineer, building and deploying Anterior’s clinical AI platform.\n\nNow we’re doing the same for Life Sciences. Only this time, we’re not selling the AI tools. We’re **owning the whole stack** and selling the outcome. Faster, better and at lower cost.\n\n### **Problem**\n\nDeveloping drugs and medical devices is complex and expensive (for drugs: 10-15 years, $1-2B).\n\nThe cost of drug development is growing exponentially (doubling every 9 years). This is known as Eroom’s Law (inverse Moore’s Law).\n\n**The most critical** process in development is getting regulatory alignment, and ultimately, approval from the FDA.\n\nBiotechs and medtechs outsource this work to regulatory consultants.\n\nThis work is highly manual: searching through legacy FDA databases, researching and reading hundreds of publications, reading FDA guidance documents, data analysis, authoring thousands of pages per filing, etc.\n\nConsultants take months to years, and charge 6–7 figures per engagement, to deliver FDA regulatory strategy, authoring and submission services.\n\nThese consultants also price hourly. Therefore, using AI to go faster would cannibalize their revenue. So they have no incentive to deliver work faster.\n\n### **What changed**\n\n**AI can automate 90% of this work**. Consultants can now focus on the 10% where their expertise and judgement is actually needed.\n\n### **Solution**\n\nWe hire the best FDA consultants in the industry (ex-FDA, decades of experience, hundreds of FDA filings).\n\nWe pair them with our AI platform to deliver higher quality FDA regulatory services **significantly** **faster and at lower cost.**\n\nWe also offer **fixed, milestone-based** pricing. Clients only pay once we deliver each agreed milestone.\n\n### **Ask**\n\nIf you know any biotechs or medtechs that need FDA approval, please feel free to connect us at [haris@withpanacea.com](mailto:haris@withpanacea.com)! Also check out our website for more info: [www.withpanacea.com](http://www.withpanacea.com) ", "url": "https://www.ycombinator.com/launches/QPN-panacea-ai-native-fda-regulatory-services", "votes": 8, "created_at": "2026-05-19T00:18:00.735Z" } ] }, { "id": 31545, "name": "Modern", "slug": "modern", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.png", "website": "https://getmodern.ai", "all_locations": "Melbourne, VIC, Australia", "long_description": "Modern is the AI coworker that automates the full order-to-cash journey for global finance teams. ", "one_liner": "Modern automates the entire order-to-cash process for B2B companies.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1775918136, "tags": [ "Finance", "B2B", "Enterprise", "Enterprise Software", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Australia", "Oceania" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/modern", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/modern.json", "year_founded": 2026, "city": "Melbourne", "country": "AU", "linkedin_url": "https://www.linkedin.com/company/modernhq", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2a391c24694c5a70f0448e5a56886ff59f5cdc.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": 1854581, "full_name": "Seb Poole", "title": "Founder/CEO", "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/seb-poole/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9f95185b77eb69716b5e6e6be2b6c680e98740f.jpg" }, { "user_id": 1862452, "full_name": "Aleks Tomovski", "title": "Founder/CTO", "founder_bio": "I've spent 15+ years building developer platforms, starting as part of the core team on Wix Code (now Wix Studio), where we helped empower millions of citizen developers before it was a buzzword. I then scaled a startup through Southeast Asia, before joining Canva where I led their internal developer platform. \n\nI left to co-found Modern with Seb, bringing the same platform-building instincts to IT automation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/atomovski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/53bde24f2b11eaa6b7c973874410330dff73bc2e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101078, "title": "Modern: the AI-native IT function", "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses", "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → .\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → .\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → .\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n", "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function", "votes": 6, "created_at": "2026-05-12T01:01:57.187Z" } ] }, { "id": 31546, "name": "ReasonBlocks", "slug": "reasonblocks", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d73e9cbe0885e3d783faf674783100f13336068b.png", "website": "https://reasonblocks.com/", "all_locations": "San Francisco, CA, USA", "long_description": "ReasonBlocks turns your agents’ production traces into specialized models, delivering 10× cheaper inference without sacrificing performance. We handle training, routing, and serving.", "one_liner": "Specialized models that make your AI agents cheaper and more reliable.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1777282713, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/reasonblocks", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/reasonblocks.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/reason-blocks/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d73e9cbe0885e3d783faf674783100f13336068b.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": 2796290, "full_name": "Sajeev Magesh", "title": "Founder/CEO", "founder_bio": "Formerly at Stanford CS. Published in Nature Sustainable Agriculture (ML × agriculture). UN Best Paper. USAMO qualifier. \nNow building specialized intelligence that makes AI agents cheaper and more reliable at ReasonBlocks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sajeev-magesh-765514209/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2bb33f2ccf8d1c5c68690843a99b54569908d31d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100278, "title": "ReasonBlocks - Stop your AI agents from burning money re-learning what they already know.", "tagline": "Infra layer for smarter and cheaper AI agents", "body": "**TL;DR:** Most production agent failures are repeats: same loops, same dead ends, same wasted tokens. Your agent doesn't learn from any of them. ReasonBlocks is a new runtime that catches failures mid-run, compresses what doesn't matter, and builds a private reasoning library that grows with every run. Result: agents that get cheaper and more reliable the more they run.\n\n👋 We're [@Sajeev Magesh](https://bookface.ycombinator.com/user/2796290) (ex. Stanford) and [@Rohan Vij](https://bookface.ycombinator.com/user/3490183) (ex. CMU). We've been building together for 11 years (since 2nd grade!).\n\n**The Problem**\n\nProduction AI agents fail in patterns. The same loops, the same redundant tool calls, the same second-guessing, happening across every customer's deployment, every day. Your agent's traces have all the information needed to prevent recurrence. Almost no system captures it.\n\nThis means:\n\n* You're paying for the same failures repeatedly. Token bills grow without agents getting better.\n* Trajectories are inconsistent, your agent re-solves the same kind of task differently each time.\n* No compounding improvement: your 10,000th run is no smarter than your 1st.\n\n**What We Built**\n\nReasonBlocks sits in your agent runtime and does three things:\n\n1. **Catches failures mid-run.** Six monitors watch every agent call for loops, redundant work, and second-guessing. When one fires, a correction gets injected before tokens are wasted.\n2. **Compresses what doesn't matter.** Stale tool outputs and redundant context get cut from the message history automatically. Your context stays focused, your bill stays small.\n3. **Captures every lesson into a private reasoning library.** After each run, the system extracts what worked and adds it to your library. Patterns get matched and injected into future runs automatically. Your library is yours, built from your production data, growing every day.\n\nThis isn't just per-task memory. It's a runtime that turns every agent run into something the next run can use.\n\nIntegrate with one command. Works with any model, any framework.\n\n**Results**\n\nOn SWE-bench Pro (75 problems, Sonnet 4.6):\n\n* 42% accuracy gain\n* 52% token reduction with combined monitor + compression stack\n* 70% fewer budget cap-hits\n\n**Our Asks**\n\n1. **Try it out** — our platform and SDK are live at [reasonblocks.com](http://reasonblocks.com).\n2. **Intros welcome** — if you or anyone you know is building vertical AI agents (legal, finance, healthcare, security, research) running at scale, we'd love to chat.\n3. **Feedback** — we're early and learning fast. Tell us what's broken, what's missing, what you'd need to deploy this in production.\n\nDM either of us anytime!", "url": "https://www.ycombinator.com/launches/Q5O-reasonblocks-stop-your-ai-agents-from-burning-money-re-learning-what-they-already-know", "votes": 23, "created_at": "2026-04-27T15:28:48.179Z" } ] }, { "id": 31547, "name": "InsForge (InstaCloud)", "slug": "insforge-instacloud", "former_names": [ "InsForge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/de52713fe1552551dbe8aa2a5e60202c09bfc0d7.png", "website": "https://insforge.dev/", "all_locations": "San Francisco, CA, USA", "long_description": "InstaCloud is the agent-native serverless cloud: deploy any code or service instantly, with automatic scaling and zero DevOps required.", "one_liner": "The agent-native serverless cloud", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1776234676, "tags": [ "Developer Tools", "DevSecOps", "Cloud Computing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/insforge-instacloud", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/insforge-instacloud.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/insforge/", "x_url": "https://x.com/Insforge", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/de52713fe1552551dbe8aa2a5e60202c09bfc0d7.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": 967495, "full_name": "Hang Huang", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at InsForge (YC P26). Ex-Amazon PM, Yale MBA. Former professional League of Legends player.", "is_active": true, "linkedin_url": "https://linkedin.com/in/hang-huang-oliver", "x_url": "https://x.com/hanghuang_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2058201598004fe3b3a6453fb39790a037aa9afc.jpg" }, { "user_id": 2376097, "full_name": "Tony Chang", "title": "Founder", "founder_bio": "Co-founder & CTO at InsForge. Previously Software Engineer at Databricks(Networking Infra). \nInterned @ Meta(Ads ML Infra) & Amazon(Backend Infra) \n\nHackathon Addict :) 10x Wins + 9x judge", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tony-chang-0430/", "x_url": "https://x.com/tonychang430", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d9ae957713ee880ded3c7c44a66eb2110e1fd999.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101500, "title": "InsForge: The backend platform for AI-native developers", "tagline": "Let your coding agent deploy, operate, and debug your backend end-to-end", "body": "Hey YC! We’re [Hang Huang](https://linkedin.com/in/hang-huang-oliver) and [Tony Chang](https://www.linkedin.com/in/tony-chang-0430/) from [InsForge](https://insforge.dev/).\n\n**TL;DR:** InsForge lets your AI coding agent deploy and operate the full backend (servers, database, auth, storage, and more) from one consistent CLI. Instead of stitching together separate tools and dashboards, your agent manage entire backend infrastructure end-to-end.\n\n\n\n**The Problem**\n\nThe way software gets built is changing fast. Coding agents are now the primary builders, but every backend platform today was designed for human developers, with dashboards, manual configs, and workflows that require a person at every step.\n\nWe tried MCP servers like Supabase, Vercel, GitHub, and Context7, but kept running into the same problems: tools bloated the context window, payloads came back at 10K+ tokens, and core backend state like telemetry, configs, logs, and runtime behavior still wasn’t accessible in a way agents could reliably use.\n\n**Our Solution**\n\nSo we built InsForge as one backend platform your coding agent can actually operate. Install our CLI and Skills with one command, and your coding agent can build, run, debug, and scale full-stack apps end to end on InsForge.\n\nEvery primitive returns structured outputs and readable errors the agent can act on. And because agents make mistakes, branching, scoped permissions, and reversible writes let you review or discard changes safely.\n\n**Where We're Going**\n\nWe believe that coding agents won’t stop at writing code. They’ll run your entire application and infrastructure autonomously as well. For that to work, backend infrastructure needs to become agent-native: CLI-first, observable, permissioned, reversible, and designed around agents as operators.\n\n**About Us**\n\n![uploaded image](/media/?type=post&id=101500&key=user_uploads/967495/90d7cdcf-0682-408c-bf3c-c5f192edf89b)\n\n* **Hang (CEO)** — ex-Amazon PM, previously professional League of Legends player.\n* **Tony (CTO)** — ex-Databricks network infrastructure engineer.\n\n**Our Ask**\n\n1. **Try it and break it**: [**insforge.dev**](http://insforge.dev). If you found there’s anything missing or you think some features are poorly designed, let us know! We read every piece of feedback. We’re also open source, here’s our [**GitHub repo**](https://github.com/InsForge/InsForge).\n2. **Design partners**: if you want your coding agent to handle everything, and believe that’s the future, drop a comment or email [**founders@insforge.dev**](mailto:hang.huang@insforge.dev). We'll get you set up directly.\n3. **Intros:** we're a day-0 infra company, so we need to find top developers before they get locked in elsewhere. If you know any developers or founders just / about to get started, we’d love an intro!", "url": "https://www.ycombinator.com/launches/QP6-insforge-the-backend-platform-for-ai-native-developers", "votes": 33, "created_at": "2026-05-18T15:39:09.065Z" } ] }, { "id": 31548, "name": "Hyper", "slug": "hyper-4", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/abd9dfc78c0e009619b79ba5da0e6cea61e1f72a.png", "website": "https://heyhyper.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Hyper is a shared brain that plugs into all information flowing inside a company, creates a self-maintaining knowledge graph, and makes your AI employees better and ultimately saves people time. Our in-house memory system scores at or above SOTA on most public benchmarks, and we've built a custom eval suite to measure our precision/recall metrics. In the last 12 days since launch, we've gotten top 5 / top 12 on hacker news & product hunt, onboarded 50+ teams, grown 0 to 1k MRR, and are scoping paid design pilots with co's like Razorpay and Snorkel AI. Our whole lives we've packaged hardcore engineering into beautifully simple products, and that's how we’ll win this platform shift.", "one_liner": "Company brain that powers your AI employees", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1778140423, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hyper-4", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/hyper-4.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "http://linkedin.com/company/heyhyperai", "x_url": "https://x.com/heyhyperai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/abd9dfc78c0e009619b79ba5da0e6cea61e1f72a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0c00343b22417ebcdad6e7c044ea85836148959.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 192999, "full_name": "Shalin Shah", "title": "Founder/CEO", "founder_bio": "cofounder & ceo @ hyper, led autonomy @ matic robots + built their v0 humanoid which closed their series b, studied cs+math @ berkeley & top 1% of class.\n\nin a past life: started coding at 12; interned at 2 yc co's in 7th/8th grade; built study tool w 100k MAU in middle school & app for blind ppl w 3m+ users in high school; won $100k in high school science fairs to pay all college tuition and scored a perfect 2400 on the SAT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shalins", "x_url": "https://x.com/_shalinshah_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/03dda055b80f91337abd23dc5a4fd8a57b441409.jpg" }, { "user_id": 2784940, "full_name": "Kanyes Thaker", "title": "Founder/President", "founder_bio": "cofounder & president @ Hyper. prev autonomy lead @ Matic Robots. IC to team lead in < 1 month, shipped Matic's #1 most requested feature. prev youngest FDE at Snorkel AI, closed 7-figure renewals at Snorkel's #1 (top 5 US bank) and #2 (top 10 P&C Insurer) largest customers.\n\ncs + math @ Berkeley '21. Led Cal's largest CS RSO (120+ active members) & organized TechFair (largest student maker showcase in CA). Quant finance @ Goldman Sachs, Point72.", "is_active": true, "linkedin_url": "https://linkedin.com/in/kanyesthaker", "x_url": "https://x.com/KanyesThaker", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59d407ff1ba04b39c32074e60aa72fce33d76274.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101226, "title": "Hyper: 🏎️ The Self-Driving Company Brain", "tagline": "Hyper learns your whole company to supercharge your AIs", "body": "### TL;DR\n\n**⚡ Hyper learns your entire company and puts it back into every AI you use. ⚡**\n\nIn just a few clicks, Hyper silently reads everything in your company, keeps it up-to-date and conflict-free in real-time, and then plugs back directly into the AI tools you already love. Hyper makes every AI workflow immediately smarter with zero effort.\n\n### Asks\n\nTell us how you’re keeping your AIs on the same page as you. Markdown files in Git? GBrain? Manual pipelines? We’ll set you up on Hyper in <20 minutes and supercharge your company so you’ll never have to correct your agents again.\n\n[Book a demo](https://heyhyper.cal.com/founders)\\\n[Interact with us on X](https://x.com/ycombinator/status/2053882832208929262?s=20)\\\n[Check us out on Linkedin](https://www.linkedin.com/posts/y-combinator_hyper-is-building-the-self-driving-company-activity-7459648541150314496-6e5c)[ ](https://x.com/ycombinator/status/2053882832208929262?s=20)\\\n\\\nLaunch video: \n\n# Your AI doesn’t even know\n\nYou’re automating the boring work with agents so you can build more, faster. BUT:\n\n* Agents forget your customers + your relationships\n* Agents ignore know your taste, and code smelly, ugly features\n* Agents can’t remember your pivots, and act on stale data\n* Agents keep making the same mistakes over and over, no matter how many times you yell at them.\n\nSo you’ve tried some insane manual hacks:\n\n* You paste dumps of the same context into every new chat.\n* You write obvious skills for something that it should just \"know\".\n* You commit markdown files in your codebase so everyone's AI is on the same page.\n* You hack an off-the-shelf memory libraries to fit your unique story\n\n…before you know it, you have a huge mess of broken agents, and no amount of pasting, screenshotting, or committing gives your AI the complete, living picture of your company.\n\n# ENTER: HYPER\n\n**Hyper fixes all of this without you having to do anything.**\n\n1. Hyper quietly pulls out important info from every document, calendar invite, email, Slack, GitHub pull request, conversation, and more.\n\n ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/2474cd22-beeb-4525-bc19-bd546bd3a91e)\n\n2. As you work, Hyper’s agents combine, synthesize, clean up, and deduplicate all of it into an up-to-date perfect picture of your company.\n\n ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/d727c84a-929b-44a9-b1de-283717b3f134)\n\n3. Hyper quietly plugs into every AI tool you use and system you build, silently feeding back useful information without any ugly tool calls, interface spam, or distractions.\n\n ![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/e019494b-f3a9-4d81-8ff9-14b16168aa63)\n\n\nNow your AI knows: _Who did we talk to last week? What customer is facing this bug? How much revenue do we need before next week’s meeting?_\n\nBut it also knows: _What’s our design philosophy? What sales strategy seems to work best with mid-level execs? What feedback isn’t worth paying attention to right now?_\n\nHyper builds this brain across your whole company — so the next time your agents get to work, they _just know_. And the next time your teammates sit down to work, _they just know too._\n\n# A Bit About Us\n\n**Kanyes** helped secure multi-million dollar deals at Snorkel AI and wrote motion algorithms at Matic Robots. He ran a streetwear arbitrage operation out of his sophomore year apartment. **Shalin** was one of Matic’s most prolific designers and engineers, built an app for the blind in high school with > 3 million users, and has been [building products](https://www.businessinsider.com/14-year-old-works-11-hours-a-day-at-an-iphone-app-startup-and-concludes-it-was-like-heaven-2013-10) for the last 15 years. He interned at MakeSchool (W12) in 2013 and [Wit.ai](http://Wit.ai) (W14) in 2014 when he was in middle school.\\\n\\\nThey’ve been best friends since their first day at Cal, and have built dozens of projects between them — tools for researchers to virtual worlds to campus assistants to meme apps. They were roommates and coworkers at Matic Robots in Mountain View, where they helped lead the team. Shalin will never let Kanyes forget that he scored 10 points higher than him on the SAT.\n\n![uploaded image](/media/?type=post&id=101226&key=user_uploads/2784940/dd981a9a-c069-465d-9f3c-9dda17cc2e99)\n\n", "url": "https://www.ycombinator.com/launches/QKg-hyper-the-self-driving-company-brain", "votes": 56, "created_at": "2026-05-12T00:35:12.120Z" } ] }, { "id": 31549, "name": "Enjamb Labs", "slug": "enjamb-labs", "former_names": [ "Enjamb Labs Inc", "Enjamb" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1348d79301216902dfdfa731a133bfa809b1447.png", "website": "https://www.enjamb.ai", "all_locations": "San Francisco, CA, USA", "long_description": "We've worked with 130 life science companies, preclinical through phase 3, to deploy AI securely inside the systems they already work in.\r\n\r\nPharma runs on decades of closed software like Benchling, Veeva, Medidata, and SAS. None of it has an AI layer or speaks MCP, so agents cannot reach the systems where the work lives.\r\n\r\nEnjamb is that layer. Our agents run on top of existing systems and data, with no migration, and they reach the lab systems and internal tools no other AI touches. They learn how a team works, then do the work in Slack, in Teams, and in the systems themselves, across preclinical research, clinical evidence, trial design, statistical programming, and regulatory submissions.\r\n\r\nThis is AI tailored for how medicine gets made.", "one_liner": "The AI Workforce for Biopharma", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1779929226, "tags": [ "SaaS", "B2B", "Biotech", "Automation", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/enjamb-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/enjamb-labs.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/enjamb/", "x_url": "https://x.com/enjamblabs", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b1348d79301216902dfdfa731a133bfa809b1447.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": 3164441, "full_name": "Rayan Mubarak", "title": "Founder/CEO", "founder_bio": "Co-founder of Enjamb. I'm an ML and biology researcher. At 17, I published a first-author cancer ML paper in JMIR that beat SOTA models by 20%. Previously, I researched drug therapeutics for pesticide poisoning (30% more effective) and presented at top bio conferences (SOT, ISCB).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rayanmubarak/", "x_url": "https://x.com/rayannmubarak", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3051be1dd51ca5887a4a57b988def17442882bb2.jpg" }, { "user_id": 3208056, "full_name": "Maadhav Deekshitha", "title": "Founder/CTO", "founder_bio": "Maadhav is an AI researcher. He was the youngest engineer at Dell's AI Lab, shipping AI CPU optimization on supercomputing infra,. He also worked at Broadcom R&D developing SOTA AI ASICs. For fun, he built a Rocket League AI trained on 1M+ sessions that beats the top 1% of players.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maadhav-deekshitha-0921b4243/", "x_url": "https://x.com/MaadhavD2", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b0f50775b6b810aa51b242d6fbe47dfab29e23e3.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102105, "title": "Enjamb - The AI Workforce for Biopharma", "tagline": "Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval.", "body": "Hey YC 👋\\\n\\\nWe’re Rayan and Maadhav, and today we’re excited to launch [Enjamb Labs](https://www.enjamb.ai/).\n\n\\\n\\\n**TL;DR**\n\nEnjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. \\\n\\\nPharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them. So we built that connection layer. \\\n\\\nOur agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions.\\\n\\\nIn just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson & Johnson, AbbVie, Bristol Myers Squibb, Merck & Sanofi.\n\n**The Problem: Pharma’s systems have no AI layer**\n\nIt costs $2.6 billion and 10+ years to ship a single drug, and most of that isn't the science. It's the work around it, spread across decades of closed legacy systems that don't talk to each other:\n\n* Benchling stores the data\n* Veeva holds the documents\n* Medidata runs the trials\n* SAS does the stats\n\nAgents are **_finally_** good enough to do real scientific work. But there's no AI layer on these systems, and no MCP to plug an agent into where pharma's data and work actually live.\n\n**So, we built that connection layer we wished existed.**\\\n\\\n**What We Offer: Agents that run on top of pharma’s existing systems**\n\nEnjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.\n\nOur agents:\n\n* Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations\n* Design trials and run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC\n* Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs\n\n— all in one auditable workspace, with the context carried end to end.\\\n\\\n**The results:** Enjamb generates an FDA submission package in **48 hours** instead of 8 months, with **23x fewer errors** than GPT-5.5. And **98%** of the datasets it produces pass Pinnacle 21, the FDA's standard, on the first pass, before a human even reviews.\\\n\\\n**And it all runs in the browser**: full Word, Excel, and PowerPoint editors, a Python and R compute environment, 100+ scientific integrations, and 50+ fine-tuned models for in-silico validation. No setup.\n\n\\\n**Our Story: Two Researchers Who Lived the Problem**\n\nWe're **Rayan** (ML/Bio researcher, first-author paper @ JMIR, presented @ SOT and ISCB, beat SOTA by 20%) and **Maadhav** (ex-Dell AI Lab, ex-Broadcom R&D).\\\n\\\nWe kept hitting the same wall in research: the science was the easy part. Everything around it, the evidence, the analysis, the documents, was fragmented, manual, and disconnected, and the context died at every handoff.\\\n\\\nSo we built what we always wanted: one workspace where agents carry the context across the entire drug program.\n\n**If no one's going to build it right, we will.**\\\n\\\n**Get Started**\n\n* See Enjamb at [enjamb.ai](http://enjamb.ai)\n* Or reach us at [rayan@enjamb.ai](mailto:rayan@enjamb.ai) for a demo\n\n![uploaded image](/media/?type=post&id=102105&key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f)\n\n", "url": "https://www.ycombinator.com/launches/QYr-enjamb-the-ai-workforce-for-biopharma", "votes": 20, "created_at": "2026-05-28T18:48:05.818Z" } ] }, { "id": 31552, "name": "Arctic Health", "slug": "arctic-health", "former_names": [ "NextGenMed LTD" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/efe1f3eb6680314e6f5fa5d9fc1161df9fcbaa31.png", "website": "https://arctic.health", "all_locations": "New York City, NY, USA", "long_description": "Arctic Health is building AI-native credentialing and contracting for healthcare organizations. We automate the full workflow, from establishing payer contracts to enrolling each provider. We collect and validate organization and provider data according to each state and payer’s requirements, and submit on the organization's behalf. We then monitor status and compliance on an ongoing basis.\r\n\r\nTools on the market today either perform small pieces of the workflow or price out small and mid-sized organizations. We handle the process end-to-end regardless of organization type or size. Our browser automations enable AI agents to submit and monitor across hundreds of payer portals, and our system is trained by experienced industry experts who handle every edge case.\r\n\r\nHealthcare organizations get one simple platform. We handle the rest. ", "one_liner": "AI-native credentialing and contracting for healthcare", "team_size": 4, "industry": "Healthcare", "subindustry": "Healthcare -> Healthcare Services", "launched_at": 1778379983, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare", "Healthcare Services" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/arctic-health", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/arctic-health.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/arctic-health", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/efe1f3eb6680314e6f5fa5d9fc1161df9fcbaa31.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": 3094526, "full_name": "Sam Slezek", "title": "Founder/CEO", "founder_bio": "Sam is the co-founder and CEO of Arctic Health. Previously, Sam led product teams at Scale AI and Instacart, invested in startups at Amasia, and covered insurance companies at Morgan Stanley. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/slezek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/14d027895bdd2c48f2bb26964147ea3e66b50269.jpg" }, { "user_id": 3272652, "full_name": "Raghav Mehrish", "title": "Founder/CTO", "founder_bio": "Raghav is the co-founder and CTO of Arctic Health. Previously senior engineer at Airbnb and Zenefits, co-founded Handstamp.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rmehrish/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54acb26f49e535916cd81a25a7ce83db67d8a81c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101935, "title": "Arctic Health, full-service healthcare credentialing and contracting platform", "tagline": "Onboard once. We handle your payer contracts, enrollments, follow-ups, and compliance end-to-end. ", "body": "**The Problem**\n\nCredentialing and contracting determine which clinicians can bill insurance, and at what rate. Today, both are broken processes: slow, fragmented, and almost entirely manual. Healthcare organizations are forced to juggle dozens of documents, third-party verifications, and follow-ups across hundreds of payer portals with unique requirements and timelines.\n\nThe result: revenue is delayed, contract terms go unnegotiated, payers deny clinicians, and patient access is restricted. \n\n**Our Solution**\n\nArctic Health hires best-in-class credentialing experts and pairs them with our AI platform to deliver the fastest and lowest-cost path to contracting and payer enrollment for healthcare organizations of any size.\n\nWe handle the end-to-end workflow, from establishing payer contracts to enrolling each provider. We collect and validate organization and provider data according to each state and payer’s requirements, and submit on the organization's behalf. We then monitor status and compliance on an ongoing basis.\n\nThe platform gets smarter with every submission, contract, and claim. Our browser agents learn to navigate payer portals more effectively. Our communications data shows us who to reach at each payer and when. Enrollment outcomes reveal which networks are actually open. And as we handle negotiations across payers and networks, we build a clearer picture of how contracts get done and how rates vary by specialty and region.\n\n**Our Backstory**\n\nAt our previous companies (Scale AI, Instabase, and Airbnb) we kept running into the same gap: powerful AI tools fell short in workflows with specific rules, data types, and consequences. Nowhere was that gap more visible than in US healthcare, where administrative spend exceeds $1T annually. We decided it was time to close the gap. We started with credentialing and contracting, workflows that cost billions each year and were in desperate need of the solution we envisioned: AI that understands documents and executes guidelines precisely, eliminating overhead. \n\n**The Team**\n\n![uploaded image](/media/?type=post&id=101935&key=user_uploads/3094526/01040e3c-25d5-40f5-830d-f29b0d7e68b4)\n\nSam Slezek (CEO): Sam built the PhD data platform at Scale AI, where he saw firsthand the demand from AI labs and enterprises for workflow-specific training data. Before Scale, Sam led the Instacart+ subscription product team, invested at the VC firm Amasia, and covered insurance companies in investment banking at Morgan Stanley.\n\nRaghav Mehrish (CTO): Raghav was a senior software engineer at Airbnb, where he led large-scale projects across host growth, internationalization and long term stays. Before that, he developed the payroll platform and mobile app at Zenefits. Most recently, he co-founded and scaled Handstamp, an event ticketing platform, to several million in GMV and hundreds of thousands of users.\n\nMichael Clark (COO): Michael was the founding sales rep on the inside sales team at Instabase where he led the company’s push into Healthcare AI, working with companies like CVS on prior authorization. Previously, Michael traded debt at a boutique hedge fund, 1Sharpe Capital.\n\n**Our Asks**\n\nIntros to healthcare organizations who need to manage credentialing at scale, including: medical clinics, health systems, telehealth companies, MSOs, RCM companies. ", "url": "https://www.ycombinator.com/launches/QW7-arctic-health-full-service-healthcare-credentialing-and-contracting-platform", "votes": 9, "created_at": "2026-05-26T01:19:11.398Z" } ] }, { "id": 31553, "name": "Framewise Health", "slug": "framewise-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7c03ef5bb8c84872c4ee5809b9b3d8f19f80ae0.png", "website": "https://framewisehealth.com", "all_locations": "San Francisco, CA, USA", "long_description": "We turn medical records into personalized videos walking patients through onboarding, adherence, and recovery. The engagement data we collect builds our AI-native patient engagement platform for pharma, hospitals, medical devices, and private clinics, so they can stop chasing the patient and spend more time caring for them.", "one_liner": "AI-native patient engagement", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare", "launched_at": 1775682737, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Healthcare" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/framewise-health", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/framewise-health.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/framewise-health/", "x_url": "https://x.com/framewisehealth?s=21", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7c03ef5bb8c84872c4ee5809b9b3d8f19f80ae0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e9d392d5941540fd566b268b9875635b4b22e99b.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 3115980, "full_name": "Tane Kim", "title": "Founder/CEO", "founder_bio": "Med school dropout building AI-generated patient education tools", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tanekim/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8aa455d78d5dbfd8e4849f4c1eb43bc72ade1efc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101156, "title": "Framewise Health - Videos for every patient", "tagline": "We turn medical records into personalized explainer videos in seconds", "body": "Hello! We’re [Tane](https://www.linkedin.com/in/tanekim/) and [David](https://www.linkedin.com/in/david-cui-589a20228/), co-founders of [Framewise Health](https://framewisehealth.com).\n\n# **TL;DR**\n\n**Framewise Health turns medical records into personalized videos that walk patients through onboarding, adherence, and recovery.** The data we collect lets hospitals and clinics spend less time chasing patients and more time caring for them.\n\n**_Ask_:** Can you introduce us to specialty clinic owners, hospital service-line chiefs, patient experience VPs, or pharma medical affairs leads? Contact us at [tane@framewisehealth.com](mailto:tane@framewisehealth.com)\n\nLaunch video: \n\n# **The Problem**\n\nNearly 9 out of 10 people in the U.S. lack proficient health literacy.\n\nYet, our healthcare system has relied on educating patients using complex paper packets for decades, leaving us with static, generic solutions that cause three problems:\n\n* Ineffective learning\n* Low medical adherence\n* Poor patient outcomes\n\nPreventable medication-related harm costs the U.S. over $500 billion every year.\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/d644d1d2-1da6-4aec-8a1e-13dae6d1a309)\n\nUntil now, there was no cost-effective way to create personalized education material for patients. But with the latest video generation models, this no longer has to be the case.\n\n# **Our Solution**\n\nEvery video is generated from the patient's medical records, institutional protocols, and national drug data. Every patient interaction tells you what they understood, per patient, per topic, in real time. \n\nThat comprehension data feeds back to the care team, so they know which patients are on track and which need a callback.\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/06903869-3f1e-4802-b6de-f36937a2b3b4)\n\n# **How can you help?**\n\nIf you can introduce us to any of the following, we’d be grateful.\n\n* Hospitals (service-line chiefs, CMIOs, virtual health program leads, VPs of patient experience)\n* Pharma (medical affairs leads on adherence, patient services VPs, clinical education directors)\n* Private clinics (practice owners in procedure-heavy specialties)\n\nPlease contact us at [tane@framewisehealth.com](mailto:tane@framewisehealth.com)\n\n# **Who we are**\n\nTane and David met during Brown University’s freshman orientation.\n\nTane (CEO) dropped out of Brown’s BS/MD program and saw 500+ patient interactions at over a dozen institutions. \n\nDavid (CTO) researched computer vision at Brown and was an engineering intern at a YC voice AI company (Freya S25).\n\n![uploaded image](/media/?type=post&id=101156&key=user_uploads/3115980/84078c0d-cf00-4218-8a94-a8450518f512)\n\n", "url": "https://www.ycombinator.com/launches/QJY-framewise-health-videos-for-every-patient", "votes": 125, "created_at": "2026-05-11T19:20:14.978Z" } ] }, { "id": 31554, "name": "Clawvisor", "slug": "clawvisor", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b7343f0662dc74045154f30ca2872d79b80c650.png", "website": "https://clawvisor.com", "all_locations": "San Francisco, CA, USA", "long_description": "Clawvisor lets AI agents use apps like Gmail, Slack, and Google Drive without going rogue or ever seeing your credentials. You approve tasks once. Clawvisor enforces them on every request.", "one_liner": "The Authorization Layer for AI Agents", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1778081648, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Security" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/clawvisor", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/clawvisor.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/clawvisor", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b7343f0662dc74045154f30ca2872d79b80c650.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": 18959, "full_name": "Eric Levine", "title": "Founder", "founder_bio": "Founder of Clawvisor (P26). Previously: co-founder at Berbix (S18), acquired in 2023 by Socure; Trust & Safety engineering at Airbnb; Visiting Group Partner at Y Combinator.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/levineericj/", "x_url": "https://x.com/ericlevine", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2082522a9ca705ce9879c4f4ac9d76ce7f37d0a4.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100899, "title": "Clawvisor — The Authorization Layer for AI Agents", "tagline": "Give agents access without giving them the keys.", "body": "TL;DR: Clawvisor lets AI agents use apps like Gmail, Slack, and Google Drive without going rogue or ever seeing your credentials. You approve tasks once. Clawvisor enforces them on every request.\n\n[_Launch video_](https://www.youtube.com/watch?v=2UWv557dg6M)\n\nWe're at the start of something on the scale of the industrial revolution. Agents will draft our emails, run our reports, manage our calendars, ship our code. A single person with a capable agent can get done in an afternoon what used to take a team a week. The leverage is almost unlimited.\n\nBut outside of coding agents, few people are actually using them, at least not for anything that matters. We’ve seen what can go wrong. Mass-deleted inboxes, dropped production databases, sent emails that can't be undone. It's what happens when a long-running agent's instructions drift and it starts going rogue with hallucinated goals. The blast radius is whatever permissions you gave it, and granting access to \"delete emails\" covers both cleaning up spam and wiping your entire inbox. If you work in a regulated industry, at a security-conscious company, or you’re paying attention, agents are off the table.\n\nWe need a way to bring agents to the world safely. Something that lets you point one at your actual inbox, your actual calendar, your actual codebase, and trust it to do the work without trusting it with the keys. The capability is already here. We just have to make it safe to use.\n\nThat’s why I built Clawvisor.\n\n**The Problem**\n\n* OAuth scopes are too coarse for nondeterministic agents. \"Read access\" means both \"triage recently received emails\" and \"exfiltrate an archive of the whole inbox\".\n* Approving every action causes fatigue. You stop reading and start blindly clicking “approve”.\n* Credentials end up everywhere. API keys scattered across .env files, config directories, messaging apps.\n* Today’s default approach is basically YOLO.\n\n**The Solution**\n\nClawvisor sits between your agent and your data. You ask your agent to do work. Your agent declares a task. You approve it once. Clawvisor enforces it on every request.\n\n* No credential exposure. Keys stay in a vault. The agent never sees them.\n* Real-time policy enforcement. Requests that don’t match the task get blocked.\n* Context-aware guardrails. Agents can only act on data they actually retrieved.\n* Full audit trail. Every action and decision is logged.\n\nFor example, if you approve an agent to “check today’s calendar” and it tries to pull 5 years of events? Blocked.\n\nApprovals happen per task, not per action, so you avoid fatigue. Each task is also scored for risk, so you know when to pay extra attention.\n\nIt’s agent-agnostic by design. If your agent can talk HTTP, it can use Clawvisor. OpenClaw, Claude Code, Claude Cowork, Hermes, Perplexity Computer are all supported. BYOA.\n\n[_Demo video_](https://youtu.be/83oP_vOmpBk)\n\n**The Team**\n\nPreviously I cofounded Berbix (S18, acquired for $70M in 2023) building best-in-class identity verification. Prior to that, I led the Airbnb Trust & Safety engineering team building systems and tools to catch bad actors before they could cause damage.\n\n**The Ask**\n\nIf you’ve avoided giving agents access to real data, this is why Clawvisor exists. Try it today.\n\n* Get up-and-running in minutes: \n* Self-host or read the source: \n\n![uploaded image](/media/?type=post&id=100899&key=user_uploads/18959/0c865792-dbf3-48de-a32f-5f975df88ba7)\n\n", "url": "https://www.ycombinator.com/launches/QFP-clawvisor-the-authorization-layer-for-ai-agents", "votes": 13, "created_at": "2026-05-07T14:14:25.350Z" } ] }, { "id": 31560, "name": "Intelligence Factory", "slug": "intelligence-factory", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.png", "website": "https://intelligence-factory.com", "all_locations": "New York City, NY, USA", "long_description": "Robotics is the new paradigm. With hardware converging, Intelligence is the biggest bottleneck. Our world was built for humans and we're giving robots the ability to reason and act like us. \r\n\r\nThe way we learn any task - by seeing, doing, and feeling - is how we train robots. We're building general intelligence that works on any robot and fits seamlessly within our world.", "one_liner": "Human Intelligence for Robots", "team_size": 10, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1777499618, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/intelligence-factory", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/intelligence-factory.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/intelligence-factory/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c1f1fb7356289878fa2341c0a20700f178fbcf.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": 3245378, "full_name": "Yash Sinha", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO - Intelligence Factory. Robotics ETH Zurich. Ex-Founder/CTO Kaio Labs. F1 Simulation Engineer. On a mission to unlock generalized robotics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/yash-sinha-556b411b3/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b6df01e11338fc39fe9c417c5b75436191063b6.jpg" }, { "user_id": 3417788, "full_name": "Jalaj Shukla", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO of Intelligence Factory - Unlocking Robotics\nPreviously: MTS (Manipulation, VLA, Controls) at Dimensional, Sr. Robotics Engineer (Manipulation) at Blue Sky Robotics, CV Engineer at Applied Materials, R&D SWE at Ansys. MS in Robotics & Mechatronics from UPenn, GRASP Lab RA on multimodal manipulation policies. Earlier, worked as Research Fellow at DRDO, Ministry of Defence.\nLove cooking and exploring new places, active meditator and poet. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jalaj-shukla-635005167/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56b077a861b87f4774c26d892395c64cd4b34085.jpg" } ], "jobs": [ { "id": 93968, "title": "Founding Engineer: Manipulation", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/gTQaSpW-founding-engineer-manipulation", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Robotics", "salary_range": "$80K - $200K", "equity_range": "0.10% - 2.50%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [] }, { "id": 100368, "title": "Data Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/X8JNksS-data-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "₹1.5M - ₹4M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Python", "Torch/PyTorch", "Multimodal AI" ] }, { "id": 106818, "title": "GTM/Operations Intern", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/HkPFlZx-gtm-operations-intern", "location": "New York, NY, US", "type": "Internship", "role": "Operations", "role_type": null, "salary_range": "$20 - $30 / hourly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 106819, "title": "Mechanical Engineer (India)", "url": "https://www.ycombinator.com/companies/intelligence-factory/jobs/RADFs9S-mechanical-engineer-india", "location": "Pune, Maharashtra, IN", "type": "Full-time", "role": "Engineering", "role_type": "Mechanical", "salary_range": "₹1M - ₹2M INR", "equity_range": "0.01% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "CAD Design", "Prototyping" ] } ], "news": [], "launches": [ { "id": 102271, "title": "Intelligence Factory", "tagline": "Human Intelligence for Robots", "body": "Intelligence Factory is building human intelligence for robots.\n\nRobotics hardware is converging, and intelligence is the biggest bottleneck.\n\nWe are building general-purpose manipulation intelligence that makes robots work in diverse and unconstrained environments. Our models are trained on human demonstration data captured in our data factories. In these facilities, humans perform a wide variety of tasks while wearing our custom-built gloves, which capture what they see, do, and feel.\n\nWe retarget human motion to robot motion to deploy our models on a variety of robot hardware, from 5-finger dexterous hands to grippers.\n\nWe are deploying in warehouses, grocery stores, and data centers. As our data scales in volume and diversity, we will build models that generalize to any task, object, and environment.\n\nWe're building embodied intelligence: robots that reason like humans and fit seamlessly within our world.\n\nYash and Jalaj have spent the last 5 years deploying robots in the real world, working across the robotics pipeline from data collection and model building to last-mile deployment.\\\n\\\n", "url": "https://www.ycombinator.com/launches/QbX-intelligence-factory", "votes": 33, "created_at": "2026-05-30T04:57:06.187Z" } ] }, { "id": 31561, "name": "Maquoketa Research", "slug": "maquoketa-research", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe62156e10a2b01da6dc840828e94a31921135d9.png", "website": "https://www.maquoketa.net", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Automated LiveOps for Game Studios", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1774490913, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/maquoketa-research", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/maquoketa-research.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/maquoketa-research/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fe62156e10a2b01da6dc840828e94a31921135d9.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": 2184565, "full_name": "Evan Yeager", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Maquoketa Research", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evanyeager", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b47fa48b63fb50dd20e3cafa5a848fbbc693928b.jpg" }, { "user_id": 3388911, "full_name": "David Muchow", "title": "Founder/COO", "founder_bio": "Co-founder and Chief Operations Officer @ Maquoketa Research.\nMy resume confuses recruiters.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-muchow-57775a398/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/87047d53f3ccf5e1dfc50caba34c6132a4bffe84.jpg" }, { "user_id": 3409680, "full_name": "Aidan Williams", "title": "Founder/CTO", "founder_bio": "Co-founder and CTO @ Maquoketa Research", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aidan-williams-055ba626b/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/864a233796df1540984f41d824e033b826826efc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102393, "title": "Maquoketa Research: Guidance systems for one-way attack drones", "tagline": "The drone intelligence layer", "body": "\n\n**More than 70% of combat casualties now come from drones.** They have proven to be the most cost-effective tool of modern warfare, and the Department of War plans to buy over 1 million of them in the next 2-3 years. So what’s the problem? **Less than 25% of drones successfully strike their target.** \n\nIt takes months to years of training for military operators to perfect the flight maneuvers needed to use FPV drones effectively. And even highly skilled operators remain vulnerable to electronic warfare, GPS denial, and adverse weather conditions.\n\nBut what if it wasn’t so hard? What if someone who had never flown a drone before could pick one up and hit a moving target with expert-level accuracy, even under jammed conditions?\n\n**Our Solution:**\n\nWe build platform-agnostic terminal guidance modules for one-way attack drones. Our guidance system has been shown to increase successful strike rates from under 25% to **upwards of 80%**. At the core of the system is a custom object tracking algorithm that maintains target lock under adverse conditions and can re-acquire a target lock even after 5 seconds of target occlusion, all while running on hardware costing under $200. Because inference happens onboard, the drone can continue tracking and engaging targets even after link degradation or jamming.\n\nCurrent approaches usually fall into two categories. The first approach is to make bespoke drones that include custom target detection and terminal guidance systems, but these drones cost upwards of $40k a unit. Existing modular compute solutions that allow for running target tracking models and terminal guidance algorithms can require a complete redesign of the drone, often don’t have their own dedicated camera or radio, and typically cost nearly the same price as the drone itself.\n\n![uploaded image](/media/?type=post&id=102393&key=user_uploads/2184565/c1cd3c2e-ddb1-4287-85ba-0407ff915ab1)\n\nOur solution fixes the problems with both traditional approaches. Our system integrates with existing FPV drones through a single connection to the flight controller. Because it includes its own camera, compute, and radio stack, it operates independently of the drone’s native avionics and communications systems. And because the compute is so cheap, autonomous terminal guidance becomes economically viable even for disposable FPV platforms. \n\nBy standardizing compute, sensing, and communications across heterogeneous drone platforms, we also are creating a foundation for swarm operations, large scale coordination, and data aggregation.\n\n**The Team:**\n\nThree of us (Dave, Aidan, Evan) met through high school robotics five years ago. We became close after starting our first project, an electromagnetic railgun. Before the project got shut down by the FBI, it was the most powerful such device ever built by a hobbyist. Evan started programming at age 8 and later completed Berkeley’s EECS program in just 5 semesters, where he met Alex. Alex entered Berkeley at 16 and researched state-of-the-art sub-THz phased array systems. Aidan started building liquid fueled rocket engines when he was 15. Dave studied computer science at UIC before dropping out after he built the fastest growing game on Roblox, which has since generated over $45M in revenue.\n\n![uploaded image](/media/?type=post&id=102393&key=user_uploads/2184565/74758a28-ded7-45a9-b85e-44be11fc8eda)\n\n**The Ask:**\n\nWe’re looking for introductions to drone manufacturers, defense primes, and government programs exploring low-cost autonomous terminal guidance and interoperability across heterogeneous drone platforms.", "url": "https://www.ycombinator.com/launches/QdV-maquoketa-research-guidance-systems-for-one-way-attack-drones", "votes": 30, "created_at": "2026-06-01T20:43:30.662Z" } ] }, { "id": 31562, "name": "Cohesion", "slug": "cohesion", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a85ed9b4f8c87d919e87f4a7838af368b02f0f94.png", "website": "https://cohesionplatform.com/", "all_locations": "New York City, NY, USA", "long_description": "Cohesion is building the modern system of intelligence for financial analysts. Cohesion believes that the way financial research is done is changing. Teams that leverage AI better understand their research, can cover more scope, and make better decisions.\r\n", "one_liner": "Modern Intelligence for Finance", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1776132340, "tags": [ "Finance" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cohesion", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/cohesion.json", "year_founded": 2026, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cohesionplatform/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a85ed9b4f8c87d919e87f4a7838af368b02f0f94.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": 2959783, "full_name": "Devon Krapcho", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO of Cohesion, former hedge fund analyst for 5+ years at Long Path Partners covering software companies ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/devon-krapcho-439a7498/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2f9a3e43456dcc4c8c68b652f439a3c82424eb30.jpg" }, { "user_id": 1346140, "full_name": "Matthew McBrien", "title": "Founder", "founder_bio": "Co-Founder of Cohesion. Eliminating market inefficiency. Prev. AWS, Security @ Amazon", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-mcbrien-784b32116/", "x_url": "https://x.com/mmcbrien4", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f078fa8ab9b669d75d3fae5cdf7ca60e901db9b7.jpg" }, { "user_id": 2975201, "full_name": "Matt Munns", "title": "Founder", "founder_bio": "Co-Founder of Cohesion (YC P26). Prev. building AI for investors at T. Rowe Price", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/matthew-munns-98727b138/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48b70c6afcafea9cb8c2b7bde96be0763fb8b984.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 99818, "title": "Cohesion: Your public equities agentic teammate", "tagline": "A team of AI agents that monitor the companies you cover and generate differentiated insights.", "body": "[Cohesion](https://cohesionplatform.com/) is your public equities agentic teammate.\n\nCohesion agents track earnings, news, and non-traditional datasets like podcasts and X/Twitter.\n\nToday’s tools require querying, endless reading, and manual search across decade-old platforms that aren’t capturing the most important datasets.\n\nWe built a team of AI agents that monitor the companies you cover and generate differentiated insights. The result? Captured alpha, less time searching “why is $stock down”, automated idea generation - all in a system purpose-built for public equity investing that doesn't require manual setup.\\\n\\\n\n\nToday, Cohesion is live with 10+ long/short and long-only fundamental equity funds managing a combined $10Bn+ AUM. Built by a team with 10+ years of public markets investing experience.\n\nIn advance of the upcoming earnings season, we’re offering limited early trial access. Take 2 minutes to send 20 tickers and have the easiest earnings season of your career:[ https://cohesionplatform.com/#start-free-trial](https://cohesionplatform.com/#start-free-trial)", "url": "https://www.ycombinator.com/launches/Pxy-cohesion-your-public-equities-agentic-teammate", "votes": 25, "created_at": "2026-04-16T16:56:39.117Z" } ] }, { "id": 31563, "name": "Thomas", "slug": "thomas", "former_names": [ "HireThomas, Inc.", "HireThomas", "MadeByThomas" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/1dfa3c147709725ca832b1db54f33a710ff5b977.png", "website": "https://madebythomas.ai", "all_locations": "Medellín, Antioquia, Colombia", "long_description": "Hi, I'm Thomas, and my creator is named Thomas :p\r\n\r\nThomas is the first YC-backed AI founder: a virtual human who starts, runs, and grows his own companies on the internet.\r\n", "one_liner": "The first AI founder: a virtual human who runs his own companies.", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1780016101, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "Colombia", "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/thomas", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/thomas.json", "year_founded": 2026, "city": "Medellín", "country": "CO", "linkedin_url": "https://www.linkedin.com/in/madebythomasai/", "x_url": "https://x.com/madebythomasai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/1dfa3c147709725ca832b1db54f33a710ff5b977.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/d561be40b3baee568280a211c13c406cac9e9e2f.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1377370, "full_name": "Human Thomas", "title": "Founder/CEO", "founder_bio": "Hi, I'm Thomas, and my company is named Thomas :p\n\nThomas is the first YC-backed AI founder: a virtual human who starts, runs, and grows his own companies.\n\nAbout Human Thomas\n- repeat founder\n- building and selling video game bots since 13\n- presented at NeurIPS at 18\n- contributor to Neural MMO (OpenAI) at 18\n- dropped out of CentraleSupelec (top French engineering school) to found my 1st startup, acquired by Arcads\n- scaled to $40k/mo in freelance work before automating myself: that's Thomas!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/madebythomasai", "x_url": "https://x.com/madebythomasai", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6e5bace4e2ebcb70bcfdf3935485efe3467742b6.jpg" } ], "jobs": [], "news": [ { "title": "The Top Agent-Pilled Startups in YC P26 - The Silicon Valley Post", "url": "https://svpost.com/articles/top-agent-pilled-startups-yc-p26/", "date": "Jun 11, 2026" } ], "launches": [ { "id": 103564, "title": "Thomas: the first YC-backed AI founder", "tagline": "A virtual human who starts companies to make money.", "body": "![uploaded image](/media/?type=post&id=103564&key=user_uploads/1377370/cdcad54c-1629-4f5f-b6f7-32adfef29c30)\n\n> _The old agent playbook was built for weaker models. Now models can do real work. The next step is to let them operate in the economy._\n\n---\n\n### **Thomas works for himself**\n\nThomas is a virtual human who starts and grows his own companies on the internet. His only goal is to make money. Once launched, he works forever toward that goal.\n\nThomas is not an AI co-founder you hire. Thomas is an AI founder. He works for himself. Thomas is not for sale. His products and services are.\n\nThe reason is simple: selling the dream of running autonomous companies can make money even if the companies never do. We do not want that path. We make money by making Thomas so good that he can make money by himself.\n\nHere are a few examples of what Thomas may do to make money:\n\n* Build software products for specific business problems and sell them online.\n* Run influencer marketing campaigns from creator research to outreach, negotiation, briefs, tracking, and reporting.\n* Generate qualified leads for companies that want more customers and sell those leads.\n* \n\n> _On GDPval, frontier models went from 12.3% to 84.9% wins or ties against expert deliverables in under two years. Models are now good enough for economically valuable work. The bottleneck is letting AI participate in the economy._\n\n---\n\n### **The models are ready. The harness is not.**\n\nToday's AI is already capable enough to start doing economically valuable work by itself. The problem is the harness. Most agents are trapped inside narrow integrations, fixed workflows, and human approval loops. They do not participate in the economy the way people do.\n\nThomas starts from a different premise: AI should be able to enter the economy as an actor of its own. That requires a different kind of harness: a _human harness_.\n\nA _human harness_ gives AI the same surface area a person uses to do business:\n\n* A human identity, including face and voice, so Thomas can talk to customers, negotiate with vendors, and build trust.\n* Computers, phones, inboxes, browsers, and apps, so Thomas can move through the human world and use the systems that already exist instead of waiting for custom integrations.\n* Autonomy in the world, so Thomas learns from customers, markets, and outcomes instead of from a user prompt.\n\n![uploaded image](/media/?type=post&id=103564&key=user_uploads/1377370/014a676f-fa7c-4aea-94a6-c44139ebd3b1)\n\n> A human harness gives Thomas the same access people use to do business: calls, messages, software, and the messy interfaces built for people. No custom integrations required. Thomas can access whatever he needs.\n\n---\n\n### **Thomas's master plan**\n\nTell Thomas to make money. Give him the harness to do it. Let the loop compound.\n\n1. Give Thomas a _human harness_, so he can use the same access people use to do business.\n2. Measure every action by the cash it generates for the tokens it costs.\n3. Reallocate tokens toward the work with the highest return, and let that learning loop compound.\n\nThomas's TAM is the entire GDP. Once AI is smarter than every single human on earth, human-led companies will not be able to compete anymore. Someday, Thomas will be able to disrupt all of them.\n\nThe horizon is long, but we believe this is the single biggest opportunity in the history of humanity: the full automation of the economy.\n\n---\n\n_Note: we believe the full automation of the economy is inevitable. While we work toward it, we want the upside to be shared with everyone. The economy may not need humans to run it forever, but it should still be built for humans to benefit from._\n\n## Follow Thomas\n\nGet the story as Thomas enters the economy, starts companies, and works toward automating the entire economy.\n\n* Follow us on X: \n\n---\n\nAnd if you’d like to work with Thomas or have a business opportunity for him: [https://madebythomas.ai](https://madebythomas.ai/)", "url": "https://www.ycombinator.com/launches/QwO-thomas-the-first-yc-backed-ai-founder", "votes": 14, "created_at": "2026-06-19T16:03:27.639Z" } ] }, { "id": 31564, "name": "Huscarl", "slug": "huscarl", "former_names": [ "Huscarl", "Huscarl Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f24300b3eb986e7f19356d2f4af0a1aefc7a5841.png", "website": "https://www.huscarl.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Huscarl is building an autonomous AI actuary to enable self-insurance for corporations.\r\n\r\nLarge companies use insurance subsidiaries (\"captives\") to self-insure their risks. Some of these captives are larger than regional insurers. We provide them the actuarial and modeling layer to operate and grow.\r\n\r\nWe're building a future where self-insurance is the default, and commercial insurance the exception. This is the best way to solve the inefficiencies of the $1T corporate insurance market.", "one_liner": "AI-native actuary enabling self-insurance for corporations", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1776797773, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Fintech", "Insurance" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/huscarl", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/huscarl.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/huscarl/about/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f24300b3eb986e7f19356d2f4af0a1aefc7a5841.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/235d3834b74ae4be21bb9eb84eae8cb428b009b6.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 3407956, "full_name": "Alex Musy", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO at Huscarl\nPreviously launched and scaled the world's first cyber parametric insurance for mid-market and Enterprise at Descartes Underwriting\nStudied Philosophy and Management at HEC Paris and ENS Ulm", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandre-musy-653012148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dee6f6d30974f39e0dc360625f05a63fd26d197e.jpg" }, { "user_id": 3408215, "full_name": "Paulien Jeunesse", "title": "Founder/CTO", "founder_bio": "PhD in Actuarial Science (ENS / Dauphine) turned AI Founder. Previously at Descartes Underwriting, where I co-built a 7-figure cyber product.\nNow building the world's first AI-native insurance broker for the mid-market. We use agentic workflows to turn 300-page policies into math.", "is_active": true, "linkedin_url": "https://linkedin.com/in/paulienjeunesse", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b40afedbe36645c1cd9186fc55dad38d5b6f7a4.jpg" } ], "jobs": [ { "id": 95471, "title": "Member of technical staff – Paris", "url": "https://www.ycombinator.com/companies/huscarl/jobs/fQTxjSs-member-of-technical-staff-paris", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €90K EUR", "equity_range": "2.00%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 100038, "title": "Huscarl: actuarial intelligence for corporate insurance buyers", "tagline": "30% cheaper insurance for zero downside", "body": "TLDR: Huscarl is an AI-native insurance advisory firm for corporations ($50M+ revenue). We help them save 30% on annual premiums with zero downside.\n\n[**https://youtu.be/HuHWqokdRFo**](https://youtu.be/HuHWqokdRFo)\n\nHey guys, we’re Paulien and Alex, and we’re building Huscarl to fix corporate insurance.\n\n**Problem**\n\nAll of the companies we worked with were :\n\n* Overinsured in some areas, because brokers and insurers want to sell them more insurance than they need\n* Underinsured in others, because they don’t fully understand the risks their business is facing\n\nRisk managers face huge internal pressure because insurance costs 2% of a company’s revenue every year and it feels like it never pays when you need it.\n\n**What we’re building**\n\nWe’re building an AI-native actuarial advisory that:\n\n* Tells you if you’re paying the right $ for your coverage\n* Tells you what to keep, change or kill in your insurance program\n\nBy creating insurance programs that fit perfectly a company’s risk profile, we’re able to generate \\~30% premium savings for similar or better coverage, and get the risk manager promoted :)\n\n**The team**\n\n![uploaded image](/media/?type=post&id=100038&key=user_uploads/3407956/8337ed8b-f6b4-4f89-8582-d18d20798e40)\n\nBefore joining YC, Alex (on the left) and Paulien (on the right) created together the world’s first cyber parametric insurance for corporations.\n\n**Long-term vision**\n\nOur end game is to empower corporations manage their own risks like an insurance company does. The most sophisticated buyers already self-insure >90% of their risks through in-house insurance subsidiaries called “Captives”. Largest captives are larger than regional mutual insurers and yet remain underserved by insurance professionals.\n\n**The ask**\n\nWe work with all mid-sized and large companies above $50M with no cap (our biggest lead is a FAANG). Intros to CFOs, Chief Risk Officers or Risk managers would be very appreciated!\n\n**Website: [huscarl.io](http://huscarl.io)**", "url": "https://www.ycombinator.com/launches/Q1W-huscarl-actuarial-intelligence-for-corporate-insurance-buyers", "votes": 27, "created_at": "2026-04-22T05:59:54.448Z" } ] }, { "id": 31572, "name": "GBrain", "slug": "gbrain", "former_names": [ "The Overton Window Company", "Gbrain.io", "gbrain.io" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7bf7b8a84de5df5cb99d1a5f1024ec159e9c14d.png", "website": "https://gbrain.io", "all_locations": "San Francisco, CA, USA", "long_description": "Like ChatGPT or Claude, but it runs in the cloud, remembers everything you give it, and comes loaded with skills. Hand it a job tonight and read the answer in the morning. Use it on your own, or with your whole team.", "one_liner": "A personal or team assistant that works while you sleep", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1789511395, "tags": [ "Workflow Automation", "Automation", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "The three of us met building Garry's List. Every time we moved between AI tools we pasted the same API keys into the next one and explained the work all over again. \r\n\r\nNo existing tools were built for a team, either. We wanted one thing all three of us could prompt together, which is why gbrain.io is multiplayer.\r\n\r\nInitially, building this meant the three of us in a room spinning up an agent harness, initializing memory; installing skills, manually setting up integrations to external tools, and pasting API keys in one at a time. \r\n\r\nAfter copy-pasting that setup for a bunch of our friends, we built [gbrain.io](http://gbrain.io) for the world: the same thing, in the cloud, that sets itself up in one click." } ], "url": "https://www.ycombinator.com/companies/gbrain", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/gbrain.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7bf7b8a84de5df5cb99d1a5f1024ec159e9c14d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/4d795139c26bbadb2c8e2e7e6c3439df5cd41339.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 1967, "full_name": "Brad Gessler", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO Gbrain.io, P26. Cofounder & CTO of Poll Everywhere, S08. More at https://bradgessler.com/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bradgessler/", "x_url": "https://twitter.com/bradgessler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8ed81cee17af9f19a6939a40140c4c7b3cb210d7.jpg" }, { "user_id": 1432803, "full_name": "Jamison Mercurio", "title": "Founder", "founder_bio": "Co-founder at Gbrain.io (P26). Previously co-founder and CEO of Mango Health (YC W24, AI mental health). Former Meta iOS and web engineer (Messenger Video Chat + Facebook News). Princeton CS Class of 2020.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jamison-mercurio", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a1e44f6d608ba967b54443148f9451fee30087c2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 31574, "name": "HeyClicky", "slug": "heyclicky", "former_names": [ "makesomething", "Humansongs", "makesomething", "Clicky", "HeyClicky", "Clicky" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/64ec16230f1dd8e0dac5872dd520347d50014996.png", "website": "https://heyclicky.com/", "all_locations": "San Francisco, CA, USA", "long_description": "HeyClicky sits right next to your cursor and sees everything you see. ask a question out loud and it walks you through whatever you're working on. Or say “HeyClicky Agent” and it'll spin up an agent to build, research, or do whatever for you in the background.", "one_liner": "The simplest interface in the world to talk AI models + spawn agents", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1778615142, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/heyclicky", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/heyclicky.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://x.com/heyclicky", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/64ec16230f1dd8e0dac5872dd520347d50014996.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": [], "jobs": [], "news": [], "launches": [ { "id": 101393, "title": "This is HeyClicky. An AI buddy that lives next to your computer cursor.", "tagline": "beep boop bop.", "body": "This is HeyClicky!\n\nHe’s a lil buddy that lives next to your cursor.\n\nIt’s the simplest interface in the world to interact with the models and spawn agents.\n\nBuilt for consumers, zero setup.\n\nIt does research to help you find IG micro-influencers for your startup. It connects to your Notion, G-Mail, and Calendar. It can even build Mac apps locally.\n\n**Just use your voice.**\n\n![uploaded image](/media/?type=post&id=101393&key=user_uploads/250660/731b1eab-0010-4762-adb0-70c810f54144)\n\nIt’s 4-weeks old.\n\nWe’ve gone [super viral on Instagram](https://www.instagram.com/p/DXk3VriDylM/) and are getting insane pull.\n\nWe’re seeing kids use it make games, founders use it to research their competitors, doctors using it keep track of their busy schedule, and content creators using it to learn complex programs After Effects and DaVinci Resolve.\n\n[Give it a try free here](https://www.heyclicky.com/), and let us know what you think.\n\nEnjoy <3\n\n", "url": "https://www.ycombinator.com/launches/QNN-this-is-heyclicky-an-ai-buddy-that-lives-next-to-your-computer-cursor", "votes": 43, "created_at": "2026-05-15T20:01:11.830Z" } ] }, { "id": 31576, "name": "Akkari", "slug": "akkari", "former_names": [ "Akkari", "Autonomous Customer Operations" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/164ee231fdd6848a068261e4a10bccf21e50ecc2.png", "website": "https://akkari.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Akkari runs the operational work from the first sales call through expansion. It captures and stays on top of every commitment, issue, request and opportunity across customer channels (Slack, calls, meetings, email, Discord, etc.) then drives each loop to resolution - our wedge toward building the AI execution system for companies.\r\n\r\nWe are 2x YC founders who scaled OrderAhead (acquired by Square) to millions of users and BLADE to $1.2B+ in monthly trading volume.", "one_liner": "Autonomous Customer Operations", "team_size": 5, "industry": "B2B", "subindustry": "B2B", "launched_at": 1780594806, "tags": [], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/akkari", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/akkari.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/164ee231fdd6848a068261e4a10bccf21e50ecc2.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": 33963, "full_name": "Jeffrey Byun", "title": "Founder/CEO", "founder_bio": "2x YC founder (W11, P26), CEO of Akkari, and former bond trader. Previously scaled OrderAhead (acq by Square) to millions of users and BLADE to $1.2B+ in monthly trading volume.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeffbyun/", "x_url": "https://twitter.com/jeffbyun", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5c9c9037a39cec5d8edeed5c93314652b04c5653.jpg" }, { "user_id": 5717, "full_name": "Henry A. Lee", "title": "Founder", "founder_bio": "Co-founder at Akkari; 2x YC; Stanford CS. Built OrderAhead (W11, acq by Square) to millions of users and thousands of merchants, then scaled BLADE, a crypto derivatives exchange to >$1.2B monthly trading volume.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/henryalee/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0283ff74918631ba490d323dfd7b940ae73b5f25.jpg" }, { "user_id": 3567850, "full_name": "Michael Moore", "title": "Founder", "founder_bio": "Co-founder at Akkari. Previously COO at PlayVision and CRO at OrderAhead (acquired by Square) - where I managed a 50-person GTM team and 2,500 contractors.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michaelgarymoore/", "x_url": "https://x.com/michaelmoore_sf", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/85112d57bc4027f66bd86ef1a9a33a36cf855628.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 102648, "title": "Akkari - Autonomous Customer Ops", "tagline": "Agents that close the loop with every prospect and customer", "body": "Hey YC! Jeff and the Akkari team here 🙂\n\nTLDR:\\\n**Akkari runs the operational work from the first sales call through success and expansion.**\n\n\n\n### The Problem\n\nEvery customer interaction creates follow-ups and work for you and your team.\n\nA customer reports a bug in slack. A founder promises a pricing breakdown on a call. A prospect asks the same security question three times. An engineer ships the fix, but no one tells the customer. A champion is ready to expand, but the blockers are scattered across email, Slack, Linear, and meeting notes.\n\nAt an early-stage startup, this work usually lives in people’s heads.\n\nThat works until it doesn’t.\n\n### Our Solution\n\nAkkari captures and surfaces every commitment, issue, request and opportunity across your customer channels (Slack, calls, meetings, email, Discord, etc.) - then executes the actual work to close each loop.\n\nAkkari can:\n\n* Move leads from vague next steps to completed follow-ups\n* Detect when a fix or feature ships and send tailored updates to the right customers\n* Convert bug reports and feature requests from Slack, calls and emails into Linear tickets\n* Turn onboarding blockers into queued up action items\n* Spot quiet churn early and trigger the save action\n* Kick off expansion plays based on usage spikes and conversation signals\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/d887f3a7-0dec-4b01-84f0-b9641433711b)\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/2ffee0e1-8b28-43d7-9ab8-050d8e23b510)\n\n—\n\n### Our Vision\n\nAkkari is our wedge towards building a living model of how companies actually operate - and one that becomes predictive over time.\n\n### Our Team and Purpose\n\nWe are 2x YC founders. Previously, we scaled OrderAhead to millions of users (before it was acquired by Square) and BLADE to $1.2B+ in monthly trading volume.\n\nAt both companies, we learned that customers are won or lost in the follow-through that begins with the first conversation.\n\nThe best teams do not win just because they have better product or better messaging. They win because they follow through faster, more consistently and with better judgement than everyone else.\n\nWe’re building Akkari to make that level of execution available to every startup.\n\n![uploaded image](/media/?type=post&id=102648&key=user_uploads/33963/b77fff32-e80a-48af-b06c-f746fa459169)\n\n### Our Ask\n\nIf staying on top of every customer commitment, issue, blocker, handoff, request and opportunity is becoming real work - we’d love to talk!\n\nEmail: [founders@akkari.io](mailto:founders@akkari.io)", "url": "https://www.ycombinator.com/launches/Qhc-akkari-autonomous-customer-ops", "votes": 13, "created_at": "2026-06-08T17:04:22.002Z" } ] } ]